diff --git a/.github/vale/.vale.ini b/.github/vale/.vale.ini
new file mode 100644
index 0000000..b115674
--- /dev/null
+++ b/.github/vale/.vale.ini
@@ -0,0 +1,9 @@
+StylesPath = .github/vale/styles
+MinAlertLevel = suggestion
+
+Vocab = Base
+
+Packages = write-good
+
+[*.md]
+BasedOnStyles = Vale, write-good
diff --git a/.github/vale/styles/Vocab/Base/accept.txt b/.github/vale/styles/Vocab/Base/accept.txt
new file mode 100644
index 0000000..e69de29
diff --git a/.github/vale/styles/Vocab/Base/reject.txt b/.github/vale/styles/Vocab/Base/reject.txt
new file mode 100644
index 0000000..e69de29
diff --git a/.github/workflows/vale.yml b/.github/workflows/vale.yml
new file mode 100644
index 0000000..cf1a13c
--- /dev/null
+++ b/.github/workflows/vale.yml
@@ -0,0 +1,22 @@
+name: reviewdog
+
+on: [pull_request]
+
+jobs:
+  prose:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Install and run Vale
+        uses: errata-ai/vale-action@reviewdog
+        env:
+          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
+        with:
+          version: 2.29.0
+          vale_flags: --config=${{github.workspace}}/.github/vale/.vale.ini
+          reporter: github-pr-check
+          fail_on_error: true
+          filter_mode: added
+          files: all
+
diff --git a/2023-05-26-elastic-cybersecurity.md b/2023-05-26-elastic-cybersecurity.md
new file mode 100644
index 0000000..ca3a2ce
--- /dev/null
+++ b/2023-05-26-elastic-cybersecurity.md
@@ -0,0 +1,27 @@
+---
+layout: post
+comments: true
+title: Elasticsearch use cases in cybersecurity
+excerpt: Learn about the difference use cases for Elasticsearch in a cybersecurity context
+tags: [elasticsearch,cybersecurity]
+toc: true
+img_excerpt:
+---
+
+<img alt=" five main stages in the vulnerability management cycle" src="https://www.crowdstrike.com/wp-content/uploads/2020/05/vulnerability-management-cycle-1024x529.png">
+<br/>
+
+
+- Data centralization: Elasticsearch provides a centralized repository for storing vulnerability data from disparate sources like threat intelligence feeds, asset inventory lists, application and system audits, and penetration testing reports. By consolidating this data, security operations teams can obtain an overarching view of their organization's vulnerabilities and prioritize remediation efforts accordingly.
+- Automatic parsing: As soon as new vulnerabilities are discovered or updated, they must go through manual triage, which requires extensive human effort and often leads to delays. Elasticsearch can automatically parse vulnerability data streams from various sources (e.g., CVE, NVD, OSVDB, MITRE ATT&CK) to extract necessary contextual attributes. Then, it assigns scores or severity ratings based on predefined rules tailored to each organization's unique environment.
+- Enhanced visibility: Elasticsearch indexes vulnerability records, allowing users to perform full-text queries, faceted navigation, and sorting. This capability provides enhanced visibility into the types, origins, and impact levels of the identified vulnerabilities, empowering administrators to focus attention on problem areas more precisely.
+- Adaptive workflow orchestration: Integration with Elasticsearch enables orchestration tools like open-source OSBase, Demisto, and Phantom Cyber to dynamically adjust their workstreams based on the current state of known vulnerabilities. This adaptive approach ensures that security practitioners always tackle high-priority weaknesses first while minimizing resource wastage on already-resolved issues.
+- Personalized notifications: Leveraging machine learning algorithms, Elasticsearch can assist in generating personalized notification strategies b
+
+
+- https://github.com/DSecureMe/vmc
+- https://github.com/opencve/opencve
+
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_config.yml b/_config.yml
index 7be39e8..29e7a19 100644
--- a/_config.yml
+++ b/_config.yml
@@ -19,7 +19,7 @@ author:
 
 paginate:         10
 
-google_analytics: UA-128961990-1
+google_analytics: G-4WZPY3NXS7
 
 # Custom vars
 version:          2.1.0
diff --git a/_includes/analytics.html b/_includes/analytics.html
index c8e6296..ffcfacd 100644
--- a/_includes/analytics.html
+++ b/_includes/analytics.html
@@ -1,5 +1,5 @@
 <!-- Global site tag (gtag.js) - Google Analytics -->
-<script async src="https://www.googletagmanager.com/gtag/js?id=UA-117166697-1"></script>
+<script async src="https://www.googletagmanager.com/gtag/js?id={{ site.google_analytics }}"></script>
 <script>
   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
diff --git a/_includes/head.html b/_includes/head.html
index e1a0eac..2be3bfc 100644
--- a/_includes/head.html
+++ b/_includes/head.html
@@ -56,7 +56,7 @@
 
   <link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css">
 
-  <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+  <script src="https://cdn.plot.ly/plotly-latest.min.js" async></script>
 
   <style type='text/css'>
     pre, code {
diff --git a/_posts/2020-09-13-tfx-data-ingestion.md b/_posts/2020-09-13-tfx-data-ingestion.md
index 85109e0..045b342 100644
--- a/_posts/2020-09-13-tfx-data-ingestion.md
+++ b/_posts/2020-09-13-tfx-data-ingestion.md
@@ -147,13 +147,13 @@ table = pa.Table.from_pandas(df)
 pq.write_table(table, 'parquet_data/creditcard.parquet')
 
 # Import generic file loader component and Parquet-specific executor
-from tfx.components import FileBasedExampleGen
+from tfx.components.example_gen.component import FileBasedExampleGen
 from tfx.components.example_gen.custom_executors import parquet_executor
-from tfx.components.base.executor_spec import ExecutorClassSpec
+from tfx.dsl.components.base.executor_spec import BeamExecutorSpec
 from tfx.utils.dsl_utils import external_input
 
 examples = external_input('parquet_data/')
-executor_spec = ExecutorClassSpec(parquet_executor.Executor)
+executor_spec = BeamExecutorSpec(parquet_executor.Executor)
 example_gen = FileBasedExampleGen(input_base=examples, custom_executor_spec=executor_spec)
 
 context.run(example_gen)
@@ -356,4 +356,4 @@ input = example_gen_pb2.Input(splits=[
 
 examples = external_input('data')
 example_gen = CsvExampleGen(input=examples, input_config=input)
-```
\ No newline at end of file
+```
diff --git a/_posts/2022-11-10-stackable-trait.md b/_posts/2022-11-10-stackable-trait.md
new file mode 100644
index 0000000..cd86273
--- /dev/null
+++ b/_posts/2022-11-10-stackable-trait.md
@@ -0,0 +1,123 @@
+---
+layout: post
+comments: true
+title: Stackable Trait in Scala
+excerpt: How to implement the Stackable Trait pattern in Scala
+tags: [scala,design-pattern]
+toc: true
+img_excerpt:
+---
+
+<img align="center" src="/assets/logos/scala-full-color.svg" width="200" />
+<br/>
+
+I come across some old scala code that uses what turns out to be a very rare pattern in Scala called Stackable Trait. The only reference to this pattern I could find on the Internet was [this old article](https://www.artima.com/articles/scalas-stackable-trait-pattern). In this article, we will explore how it can be used with a toy example.
+
+## Pattern
+From a high level, this pattern aims to reduce the boilerplate code needed to combine multiple implmentations but:
+- letting us write those implementations in different `trait`s and
+- then combining their functinality by simply extenting all of those `trait`.
+
+It can be implemented like this:
+
+1. First, declare a base trait with the functionality we want to stack
+
+```scala
+trait T {  
+  def func(): Unit = ()  
+}
+```
+
+1. Then create couple of implementation traits that does different things when `func()` will be called
+
+```scala
+trait T1 extends T {
+  abstract override def func(): Unit = {  
+    super.func()
+    // implementation here
+  }
+}
+
+trait T2 extends T {
+  abstract override def func(): Unit = {  
+    super.func()
+    // implementation here
+  }
+}
+// more implementations
+```
+
+1. Finally, we can stack those implementation in a class like this
+
+```scala
+class T3 extends T with T1 with T2
+// or class T4 extends T with T2 with T1
+```
+
+Now if we call `func()` on an instance of `T3` both implementation from `T1` and `T2` will be called in that order.
+
+> Note how the implementation functions uses **`abstract`** and that inside them we call the parent implementation with **`super.func()`**. This subtle details is actually what makes the pattern works, If we omit one of those details it will not work.
+
+## Example
+Let's create a concrete example to better understand how this pattern works. In this example, the interfaces will simply add numbers to a queue so we could tell the order they were called.
+
+First, we define the interfaces
+
+```scala
+trait T {  
+  val queue = scala.collection.mutable.Buffer[Int]()  
+  def inc(): Unit = ()  
+}  
+  
+trait T1 extends T {  
+  abstract override def inc(): Unit = {  
+    super.inc()  
+    queue += 1  
+  }  
+}  
+  
+trait T2 extends T {  
+  abstract override def inc(): Unit = {  
+    super.inc()  
+    queue += 2  
+  }  
+}
+```
+
+Now, we create instances and call our stacked function couple times to see how it is behaving.
+
+1. using the implementation order `T1` then `T2` 
+
+```scala
+class T3 extends T with T1 with T2
+
+val t = new T3()
+// t.queue shouldBe Seq()
+t.inc()  
+// t.queue shouldBe Seq(1, 2)  
+t.inc()  
+// t.queue shouldBe Seq(1, 2, 1, 2)
+```
+
+> Note how in this case the implementation of `T1` is called before the implementation of `T2`
+
+1. using the implementation order `T2` then `T1` 
+
+```scala
+class T4 extends T with T2 with T1
+
+val t = new T4()  
+// t.queue shouldBe Seq()  
+t.inc()  
+// t.queue shouldBe Seq(2, 1)  
+t.inc()  
+// t.queue shouldBe Seq(2, 1, 2, 1)
+```
+
+> Note how in this case the implementation of `T2` is called before the implementation of `T1`.
+
+
+## That's all folks
+The Stackable trait is an interesting pattern and enables us to write cleaner code by omitting the need to write explicit code to combine multiple implementations. Hopefully from now on you can use it or when you come across it in a code you're revewing you will be able to recognize it.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2022-12-21-kibana-issue.md b/_posts/2022-12-21-kibana-issue.md
new file mode 100644
index 0000000..f0c5d9d
--- /dev/null
+++ b/_posts/2022-12-21-kibana-issue.md
@@ -0,0 +1,117 @@
+---
+layout: post
+comments: true
+title: Kibana startup fails with re2.node not valid for use in process library load disallowed by system policy
+excerpt: How to fix Kibana startup issue caused by re2.node not valid for use in process library load disallowed by system policy
+tags: [kibana,macos]
+toc: true
+img_excerpt:
+---
+
+<img align="center" src="/assets/logos/kibana.svg" width="100" />
+<br/>
+
+
+I was trying to setup Kibana locally on macOS Monterey version 12.5.1 (21G83), so I downloaded [Kibana](https://www.elastic.co/downloads/kibana) and installed it like this:
+
+```shell
+$ tar xzf kibana-8.5.3-darwin-aarch64.tar.gz
+$ cd cd kibana-8.5.3
+```
+
+But when I tried to start Kibana, I encountered the following error:
+
+```shell
+$ bin/kibana
+[2022-12-21T11:54:31.067+01:00][INFO ][node] Kibana process configured with roles: [background_tasks, ui]
+[2022-12-21T11:54:35.134+01:00][FATAL][root] Error: dlopen(/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node, 0x0001): tried: '/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node' (code signature in <1683A937-8902-34BD-9886-2F1CC674A96E> '/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node' not valid for use in process: library load disallowed by system policy)
+    at Object.Module._extensions..node (node:internal/modules/cjs/loader:1239:18)
+    at Module.load (node:internal/modules/cjs/loader:1033:32)
+    at Function.Module._load (node:internal/modules/cjs/loader:868:12)
+    at Module.require (node:internal/modules/cjs/loader:1057:19)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at require (node:internal/modules/cjs/helpers:103:18)
+    at Object.<anonymous> (/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/re2.js:3:13)
+    at Module._compile (node:internal/modules/cjs/loader:1155:14)
+    at Object.Module._extensions..js (node:internal/modules/cjs/loader:1209:10)
+    at Module.load (node:internal/modules/cjs/loader:1033:32)
+    at Function.Module._load (node:internal/modules/cjs/loader:868:12)
+    at Module.require (node:internal/modules/cjs/loader:1057:19)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at require (node:internal/modules/cjs/helpers:103:18)
+    at Object.<anonymous> (/Users/dzlab/Tools/kibana-8.5.3/x-pack/plugins/ml/server/saved_objects/service.js:12:34)
+    at Module._compile (node:internal/modules/cjs/loader:1155:14)
+    at Object.Module._extensions..js (node:internal/modules/cjs/loader:1209:10)
+    at Module.load (node:internal/modules/cjs/loader:1033:32)
+    at Function.Module._load (node:internal/modules/cjs/loader:868:12)
+    at Module.require (node:internal/modules/cjs/loader:1057:19)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at require (node:internal/modules/cjs/helpers:103:18)
+    at Object.<anonymous> (/Users/dzlab/Tools/kibana-8.5.3/x-pack/plugins/ml/server/saved_objects/index.js:45:16)
+    at Module._compile (node:internal/modules/cjs/loader:1155:14)
+    at Object.Module._extensions..js (node:internal/modules/cjs/loader:1209:10)
+    at Module.load (node:internal/modules/cjs/loader:1033:32)
+    at Function.Module._load (node:internal/modules/cjs/loader:868:12)
+    at Module.require (node:internal/modules/cjs/loader:1057:19)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at Module.Hook._require.Module.require (/Users/dzlab/Tools/kibana-8.5.3/node_modules/require-in-the-middle/index.js:101:39)
+    at require (node:internal/modules/cjs/helpers:103:18)
+
+ FATAL  Error: dlopen(/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node, 0x0001): tried: '/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node' (code signature in <1683A937-8902-34BD-9886-2F1CC674A96E> '/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node' not valid for use in process: library load disallowed by system policy)
+```
+
+I tried to look up for resolutions and the only thing I could found was this [Kibana issue](https://github.com/elastic/kibana/issues/121864) which is closed with a suggestioon to instead install kibana version `7.16.2`. OK so I just need to download that version or try to understand the issue.
+
+In fact, this issue is cause by macOS having stricter signature checks for binaries, causing install issues for a lot of applications (for instance see [link](https://support.blackfire.io/en/articles/3669492-issues-with-macos-catalina)).
+
+In this case, the error basically means osx had put `node.re` in quarantine, we can confirm this using `codesign` and `xattr` as follows: 
+
+```shell
+$ codesign -vvvv /Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node
+/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node: valid on disk
+/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node: satisfies its Designated Requirement
+$ xattr /Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node
+com.apple.quarantine
+```
+
+Notice the attribute `com.apple.quarantine` which is added by macOS to any binary file that is considered suspicious. By default all software is suspicious according to macOS, especially if it is downlaoded form the internet and as a result it is put in quarantine by setting the `com.apple.quarantine` extended attribute. So one way to fix this is to remove this attribute with `xattr -d`:
+
+```shell
+$ xattr -d com.apple.quarantine /Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node
+$ xattr /Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node
+```
+
+Notice how after removing the `com.apple.quarantine` attribute we don't see it anymore in the output of `xattr`.
+
+Now we can start Kibana which will be available at http://localhost:5601
+
+```shell
+$ bin/kibana
+[2022-12-21T12:58:37.552+01:00][INFO ][node] Kibana process configured with roles: [background_tasks, ui]
+[2022-12-21T12:58:43.152+01:00][INFO ][plugins-service] Plugin "cloudExperiments" is disabled.
+
+Go to http://localhost:5601/?code=242129 to get started.
+```
+
+## That's all folks
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-01-02-prompt-langchain.md b/_posts/2023-01-02-prompt-langchain.md
new file mode 100644
index 0000000..35af64e
--- /dev/null
+++ b/_posts/2023-01-02-prompt-langchain.md
@@ -0,0 +1,210 @@
+---
+layout: post
+comments: true
+title: Prompt engineering for question answering with LangChain
+excerpt: Learn how to use LangChain for language models prompt engineering specifically for a question answering application
+tags: [nlp,langchain]
+toc: true
+img_excerpt:
+---
+
+Large language models (LLMs) like GPT-3 can produce human-like text given an initial text as prompt. They can also be [customised](https://openai.com/blog/customized-gpt-3/) to perform a wide variety of natural language tasks such as: translation, summarization, question-answering, etc.
+
+This customization steps requires tweaking the prompts given to the language model to maximize its effectiveness. This tweaking process requires many attempts/modification to the prompt and hence is also known as [Prompt engineering](https://docs.cohere.ai/docs/prompt-engineering).
+In the rest of this article we will explore how to use [LangChain](https://github.com/hwchase17/langchain) for a question-anwsering application on custom corpus. LangChain is a python library that makes the customization of models like GPT-3 more approchable by creating an API around the Prompt engineering needed for a specific task.
+
+## Enter LangChain
+
+### Introduction
+LangChain provides prompt templates for per task (e.g. question answering) and Data Augmented Generation to augment the knowledge of the LLM by providing more contextual data. For instance, for question answering the templace can be found [here](https://github.com/hwchase17/langchain/blob/master/langchain/chains/qa_with_sources/stuff_prompt.py) and looks like this:
+
+```
+Given the following extracted parts of a long document and a question, create a final answer with references ("SOURCES").
+If you don't know the answer, just say that you don't know. Don't try to make up an answer.
+ALWAYS return a "SOURCES" part in your answer.
+
+QUESTION: {question}
+=========
+Content: ...
+Source: ...
+...
+=========
+FINAL ANSWER:
+SOURCES:
+```
+
+You can see that the templace:
+1. starts with a general prompt `Given the following extracted parts ..` then
+1. highlights the question with `QUESTION` then
+1. enumerates a squence of `Content` and `Source` clauses, and finally
+1. highlighs the right answer with `FINAL ANSWER` and `SOURCES`
+
+This is a concrente example of how the earlier prompt template looks like in practice
+```
+QUESTION: Which state/country's law governs the interpretation of the contract?
+=========
+Content: This Agreement is governed by English law and the parties submit to the exclusive jurisdiction of the English courts in relation to any dispute (contractual or non-contractual) concerning this Agreement save that either party may apply to any court for an injunction or other relief to protect its Intellectual Property Rights.
+Source: 28-pl
+
+Content: No Waiver. Failure or delay in exercising any right or remedy under this Agreement shall not constitute a waiver of such (or any other) right or remedy.\n\n11.7 Severability. The invalidity, illegality or unenforceability of any term (or part of a term) of this Agreement shall not affect the continuation in force of the remainder of the term (if any) and this Agreement.\n\n11.8 No Agency. Except as expressly stated otherwise, nothing in this Agreement shall create an agency, partnership or joint venture of any kind between the parties.\n\n11.9 No Third-Party Beneficiaries.
+Source: 30-pl
+
+Content: (b) if Google believes, in good faith, that the Distributor has violated or caused Google to violate any Anti-Bribery Laws (as defined in Clause 8.5) or that such a violation is reasonably likely to occur,
+Source: 4-pl
+=========
+FINAL ANSWER: This Agreement is governed by English law.
+SOURCES: 28-pl
+```
+
+### Usage
+Using LangChain is straightforward. First, we would need to install the dependencies
+
+```shell
+$ pip install langchain requests transformers faiss-cpu
+```
+
+Next, import LangChain modules. Specifically a QA chain and a language model (e.g. OpenAI GPT-3).
+
+> Note: LangChain support other language models (e.g. `HuggingFacePipeline` or [Cohere](https://cohere.ai/)) but support for the question answering task may not be available as of now.
+
+```python
+from langchain.llms import OpenAI
+from langchain.chains.qa_with_sources import load_qa_with_sources_chain
+from langchain.docstore.document import Document
+import requests
+```
+
+Now, we instantiate an OpenAI client to use as our language models
+```python
+llm = OpenAI(temperature=0)
+```
+
+> Note: we need to set the `OPENAI_API_KEY` environment variable to be able to use OpenAI client, you can get a key at https://beta.openai.com/account/api-keys
+
+Then wrap the language model in a Question-Answering [chain](https://langchain.readthedocs.io/en/latest/modules/chains.html) as follows:
+```pyhon
+chain = load_qa_with_sources_chain(llm)
+```
+
+For the question answering example we will use data from Wikipedia to build a toy corpus. The following helper function fetches articles from Wikipedia and creates LangChain `Document`s.
+
+```python
+def query_wikipedia(title, first_paragraph_only=True):
+  base_url = "https://en.wikipedia.org"
+  url = f"{base_url}/w/api.php?format=json&action=query&prop=extracts&explaintext=1&titles={title}"
+  if first_paragraph_only:
+    url += "&exintro=1"
+  data = requests.get(url).json()
+  return Document(
+    metadata={"source": f"{base_url}/wiki/{title}"},
+    page_content=list(data["query"]["pages"].values())[0]["extract"],
+  )
+```
+
+Now we can download some articles
+```python
+sources = [
+  query_wikipedia("Michelangelo"),
+  query_wikipedia("Claude_Monet"),
+  query_wikipedia("Alexandre_Dumas"),
+  query_wikipedia("Victor_Hugo"),
+]
+```
+
+Finally we put everything together in the following helper function that will return the language model answers given document sources and a question:
+```python
+def qa(chain, question):
+  inputs = {"input_documents": sources, "question": question}
+  outputs = chain(inputs, return_only_outputs=True)["output_text"]
+  return outputs
+```
+
+Now we can test using a simple question
+```python
+qa(chain, "Who wrote Les Misérables?")
+```
+or a more complicated question like this
+```python
+qa(chain, "What are the main differences between Victor Hugo and Alexandre Dumas writing styles?")
+```
+
+## Handling large corpus
+The previous simple chain would work for small corpus or small documents, but will not work for larger sets. For instance, OpenAI implements a size limit on the prompt which means we cannot sends requests with large text body.
+
+LangChain provides couple workarounds for those limitations. Let's examine them in the following subsections.
+
+### Using a map-reduce chain
+When creating a chain we can pass a `chain_type` argument that takes one of the following values (see [documentation](https://langchain.readthedocs.io/en/latest/examples/data_augmented_generation/qa_with_sources.html)):
+
+- `stuff` used as the default value, it simply indicates that the chain will combine all of the input sources into the prompt
+- `map_reduce`: maps over the input sources and summarizes them. Then use the summaries when building the prompt.
+- `refine`: iterates over the input sources and query the language model for answers.
+
+We can test one of those chain types as follows
+```python
+mapred_chain = load_qa_with_sources_chain(llm, chain_type="map_reduce")
+qa(mapred_chain, "your question here")
+```
+
+### Using a vector store
+You may notice that using anything than the `stuff` type will result in more queries to the underlying language model. This may lead to longer response times when using long ducuments or large corpus.
+To speed up search, LangChain allow us to combine language models with search engines (e.g. [FAISS](https://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/)) as follows
+- Ahead of time, index all sources using a traditional search engine
+- At query time, use the question to query the search index and select top _k_ (e.g. 2) results.
+- The selected documents are used as sources for a chain of type `stuff`.
+
+We can build a search index with FAISS as follows
+```python
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores.faiss import FAISS
+
+vector_store = FAISS.from_documents(sources, OpenAIEmbeddings())
+```
+
+> Note: we are using OpenAI API to create embeddings for each document.
+
+Finally, we can use the search index to lookup for answers as follows
+
+```python
+def qa_vector_store(chain, question):
+  inputs = {
+    "input_documents": vector_store.similarity_search(question, k=4),
+    "question": question
+    }
+  response = chain(inputs, return_only_outputs=True)
+  outputs = response["output_text"]
+  return outputs
+```
+
+Now, we can test everything with questions
+```python
+qa_vector_store(chain, "your question here")
+```
+
+
+### Using text splitter
+Very large documents may still pose problems, for this we can use a text splitter to chunk them into multiple smaller documents. LangChain provides a [text_splitter](https://langchain.readthedocs.io/en/latest/reference/modules/text_splitter.html) to do this, and we can leverage it to chunk our wikipedia documents as follows:
+
+```python
+from langchain.text_splitter import CharacterTextSplitter
+
+def chunk(sources):
+  splitter = CharacterTextSplitter(separator=" ", chunk_size=1024, chunk_overlap=0)
+  chunks = []
+  for src in sources:
+    for chunk in splitter.split_text(src.page_content):
+      document = Document(page_content=chunk, metadata=src.metadata)
+      chunks.append(document)
+  return chunks
+```
+
+In the previous function, `CharacterTextSplitter` is configured to split documents on whitespaces and create chunks of maximum size of 1024 characters. LangChain supports other types of splitters that may work better, check the [documentation](https://langchain.readthedocs.io/en/latest/reference/modules/text_splitter.html)
+
+
+We can also fill the FAISS vector store with chunks instead of the full documents as follows 
+```python
+vector_store = FAISS.from_documents(chunks, OpenAIEmbeddings())
+```
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-03-04-elastic-network-observability-i.md b/_posts/2023-03-04-elastic-network-observability-i.md
new file mode 100644
index 0000000..ff62b8a
--- /dev/null
+++ b/_posts/2023-03-04-elastic-network-observability-i.md
@@ -0,0 +1,51 @@
+---
+layout: post
+comments: true
+title: Network observability with Elasticsearch on AWS - Part I
+excerpt: On building a comprehensive Network observability platform with the Elastic stack
+tags: [elasticsearch,network,aws]
+toc: true
+img_excerpt:
+---
+
+<img align="center" src="/assets/logos/elasticsearch.svg" width="120" />
+<br/>
+<br/>
+
+Network issues are very common source of trouble for micro-services but still are not easy to troubleshoot, especially in a cloud environment. For instance, you may have seen puzzling cases where a lot of log entries in one service contain `connection timeout` errors yet no indication of issues can be found in the logs of the remove service.
+
+Cloud providers usually provide tools to help pinpoint the root cause of network issues. For instance on AWS, one can uses Athena to analyze VPC logs [see AWS solutions blog](https://aws.amazon.com/blogs/networking-and-content-delivery/analyze-vpc-flow-logs-with-point-and-click-amazon-athena-integration/). But unfortunately such a solution brings a lot of complexity (many components) and cost (i.e. budget and maintenance). In fact, it envovles too many steps:
+- Deploying an AWS Glue database with partitioned tables,
+- Setting up an Athena Workgroup using CloudFormation,
+- Wrangling data with Athena using pseudo-SQL queries.
+— Copying, pasting, and rewriting S3 bucket keys.
+- In addition to the requirement of frequently repartition the data
+
+## Ingesting VPC flow logs into Elasticsearch
+
+To effeciently manage a production (or even a staging) environemnt with many services (business applications, core infrastructure systems, etc), requires setting up an observability and alerting platform. The main goals of such a platform is to reduce the amount of time spent on debugging network systems (firewalling, routing, etc.) and thus minimizing downtime by providing the ability to search massive amount of network traffic logs and issue alerts. Furthermore, it should help perform network analysis (e.g. post-mortems after incidents) by providing the ability to explore logs spanning any time period regardless of the size of the logs history.
+
+The Elastic stack with its many components is the perfect candidate to build such an in-house platform. As it allows to
+- Ingest real-time application logs with Logstash or Beats for network logs
+- Store massive amount of logs with Elasticsearch's indices
+- And search across logs spanning long time periods with Kibana
+
+One would arg why not use an AWS managed log analysis solutions like CloudWatch to build such an observability platform instead of building one and having to manage it. But using CloudWatch is can be become very expensive. For instance, at the time of writing this article, it would cost $0.50 per GB for data ingestion (refere to [CloudWatch pricing](https://aws.amazon.com/cloudwatch/pricing/)) alone which can easily adds up as network logs are high-throughput log streams. But using Elasticsearch, would require using local file storage (EBS) to store data chunks and indexes with the possibility to archive this data on S3. Plus the search cabilities of Elasticsearch are quite efficient due to the indexing phase. To estimate the cost of running an Elasticsearch cluster on AWS refer to the [Elastic Pricing FAQ](https://www.elastic.co/pricing/faq).
+
+## Overview of the architecture
+
+The following diagram illustrates a high level solution on how to build a network observability platform with Elasticsearch on AWS.
+
+![Network observability elasticsearch architecture]({{ "/assets/2023/03/2023-03-04-network-observability-elastic-architecture.svg" | absolute_url }})
+
+Logs from VPC Flow logs are batched into files and then uploaded to a S3 bucket. Every time, a file is uploaded an new entry is appended to SQS queue with information about the file. This triggers an Lambda function that will process and ingest the logs into Elasticsearch. Once the logs reach Elasticsearch, they can be retrived though Kibana or used to populate a custom dashboard.
+
+In addition to VPC Flow logs, other sources of logs can be integrated into this architecture to debug other type of issues (e.g. IAM related errors) for instance CloudTrail logs and Cloudfront logs in batch mode.
+
+In some cases, errors are encountered inside the Lambda function during the processing of log files. In such cases, the lambda function can forward the original S3 event to a Dead-Letter Queue (DLQ), then sending the messages back to the main queue to be reprocessed again later.
+
+
+In Part II, we will deep dive into setting up sush observability platform on AWS.
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-03-10-elastic-network-observability-ii.md b/_posts/2023-03-10-elastic-network-observability-ii.md
new file mode 100644
index 0000000..58175c2
--- /dev/null
+++ b/_posts/2023-03-10-elastic-network-observability-ii.md
@@ -0,0 +1,165 @@
+---
+layout: post
+comments: true
+title: Network observability with Elasticsearch on AWS - Part II
+excerpt: On building a comprehensive Network observability platform with the Elastic stack
+tags: [elasticsearch,network,aws]
+toc: true
+img_excerpt:
+---
+
+![Network observability elasticsearch architecture]({{ "/assets/2023/03/2023-03-04-network-observability-elastic-architecture.svg" | absolute_url }})
+
+In Part I, we discussed the need for setting up a centeralized log management platform to debug network issues. In this second part, we will deep dive into deploying this platform on AWS using Terraform.
+
+## Deploying with Terraform
+Elasticsearch cluster can be deployed from AWS Marketplace while other AWS resources like the VPC Flow Logs, the S3 buckets, the Lambda function, and the SQS queues can be deployed with Terraform as follows:
+
+First, create the different resources with Terraform as follows
+```
+# S3 bucket where log files will be uploaded
+resource "aws_s3_bucket" "my_bucket" {
+  bucket = "my-bucket"
+}
+
+# SQS queue for notifications when log files are uploaded
+resource "aws_sqs_queue" "my_queue" {
+  name = "my-queue"
+}
+
+# Lambda function for processing log files and ingesting them
+resource "aws_lambda_function" "my_function" {
+  name = "my-function"
+
+  handler = "index.handler"
+  runtime = "python3.8"
+
+  code = {
+    zip_file = "lambda_function.zip"
+  }
+}
+```
+
+Then, we need to make sure that VPC Flow logs are uploaded to a designated S3 bucket. For instance, using Terraform we can do the following:
+```
+resource "aws_flow_log" "vpc_flow_log_to_s3" {
+    log_destination      = "S3_BUCKET_ARN"
+    log_destination_type = "s3"
+    traffic_type         = "ALL"
+    vpc_id               = "VPC_ID"
+}
+```
+
+When a new VPC Flow Log file is uploaded to the S3 bucket, we want to put an entry in SQS queue with information about the file such as the file name, the file size, and the file content.
+
+Using Terraform, we can create such a notification rule by providing the source bucket to be notified when files are uploaded to it, and specifying the destination SQS queue where notifications will be sent. This is an example configuration:
+```
+resource "aws_s3_bucket_notification" "s3_to_sqs_notification" {
+  bucket = "S3_BUCKET_ARN"
+  event_types = ["s3:ObjectCreated:*"]
+  sqs_queue = "S3_SQS_ARN"
+}
+```
+
+Next, we need to create an event trigger for the Lambda function that will process log files and ingest them into Elasticsearch. The event trigger should be set to fire when a new entry is added to the SQS queue. In Terraform, we can do the following:
+
+```
+resource "aws_lambda_event_source_mapping" "my_event_source_mapping" {
+  event_source_arn = "S3_SQS_ARN"
+  function_name = "LAMBDA_FUNCTION_NAME"
+}
+```
+
+Inside the lambda function, we need implement the logic to process log files and ingest them to Elasticsearch. The following snippet illustrates a very simplifed version:
+
+```js
+const AWS = require('aws-sdk');
+const elasticsearch = require('elasticsearch');
+
+exports.handler = async (event, context) => {
+  const s3 = new AWS.S3();
+  const es = new elasticsearch.Client({
+    hosts: ['<ELASTICSEARCH_HOST>:<ELASTICSEARCH_PORT>'],
+  });
+
+  const bucket = event.bucket;
+  const key = event.key;
+
+  const file = await s3.getObject({
+    Bucket: bucket,
+    Key: key,
+  }).promise();
+
+  const data = file.Body.toString();
+
+  const index = 'logs';
+  const doc = {
+    message: data,
+  };
+
+  await es.index({
+    index: index,
+    type: 'doc',
+    id: key,
+    document: doc,
+  }).promise();
+};
+```
+
+After everything is deployed, the VPC flow logs will be uploaded to S3 and then ingested into Elasticsearch. We can verify that the logs are being ingested by querying Elasticsearch. For example, you can use the following command to search for all logs that contain the word `"error"`:
+
+```sh
+curl -XGET 'http://<ELASTICSEARCH_HOST>:<ELASTICSEARCH_PORT>/logs/_search?q=error'
+```
+
+If the logs are being ingested, you should see a response that contains a list of documents that match the search criteria.
+
+## Searching the logs
+Elasticsearch provides very powerful search capbilities to search and analyze large amounts of data. It has a simple and an extensive search syntax. For instance to retrieve from the logs all `REJECTED` network traffic with a source IP from the 10.0.0.0/8 CIDR range and a destination IP, we can use the following query:
+
+```json
+{
+  "query": {
+    "bool": {
+      "must": [
+        {
+          "match": {
+            "type": "REJECTED"
+          }
+        },
+        {
+          "range": {
+            "source_ip": {
+              "gte": "10.0.0.0",
+              "lte": "10.255.255.255"
+            }
+          }
+        },
+        {
+          "match": {
+            "destination_ip": {
+              "exists": true
+            }
+          }
+        }
+      ]
+    }
+  }
+}
+```
+
+The above query will first match all documents that have a type of "REJECTED". It will then match all documents that have a source IP address that falls within the 10.0.0.0/8 CIDR range. And finally, it will match all documents that have a destination IP address that exists.
+
+
+We can simplify our search query using the [Kibana Query Language](https://www.elastic.co/guide/en/kibana/current/kuery-query.html). Which is a powerful way to search and filter data in Elasticsearch. It is a query language that allows you to specify the criteria that you want to use to search for documents. Kibana search syntax uses a variety of keywords to specify the criteria for your search, like the `match` keyword to match specific values. It also allows the use of logical operators (e.g. `AND`, `OR`) to combine multiple criteria.
+
+Back to our search query, we can simplify it using Kibana query syntax as follows:
+
+```
+source.ip:10.0.0.0/8 AND event.action:rejected AND destination.ip:*
+```
+
+This query will return all rejected network traffic with a source IP from the 10.0.0.0/8 CIDR range and a destination IP.
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-04-02-packetbeat-intro.md b/_posts/2023-04-02-packetbeat-intro.md
new file mode 100644
index 0000000..8851ef7
--- /dev/null
+++ b/_posts/2023-04-02-packetbeat-intro.md
@@ -0,0 +1,131 @@
+---
+layout: post
+comments: true
+title: Get started with Packetbeat for network monitoring
+excerpt: Learn how to setup packetbeat and start monitoring network traffic with ELK
+tags: [elasticsearch,network]
+toc: true
+img_excerpt:
+---
+
+<img align="left" src="/assets/logos/elasticsearch.svg" width="120" />
+<img align="left" src="/assets/logos/kibana.svg" width="100" />
+<img align="center" src="/assets/logos/elastic-beats-logo-vector.svg" width="150" />
+<br/>
+
+Packetbeat is a real-time network packet sniffer/analyzer which can be combined with Elasticsearch and Kibana to provide a powerfull network monitoring solution. Packetbeat captures network traffic from local devices and decodes a varity of application layer protocols (e.g. HTTP, MySQL, Redis). It is also capable of correlating the requests with their responses. Technically, it is based on the `libbeat` framework and integrates naturally with Elastic stack.
+
+In this article we will see how to setup Packetbeat and get started with network monitoring.
+
+## Setup
+
+### Elasticsearch
+Before starting we need to setup Elasticsearch and Kibana. If they are already running in your environment then you can skip this section.
+
+Download [Elasticsearch](https://www.elastic.co/downloads/elasticsearch) for your platform and install it
+```shell
+$ tar xzf elasticsearch-8.5.3-darwin-aarch64.tar.gz 
+$ cd elasticsearch-8.5.3
+$ ./bin/elasticsearch
+```
+
+Elasticsearch will be available at http://localhost:9200 
+
+Default configuration can be found under `config/elasticsearch.yml`, for instance the settings for SSL is enabled:
+```yaml
+xpack.security.http.ssl:
+  enabled: true
+  keystore.path: certs/http.p12
+```
+
+Also the setting for enrollment can be enabled/disbaled like this:
+```yaml
+xpack.security.enrollment.enabled: true
+```
+
+Because by default enrollment is enabled, then before proceeding to setting up Kibana, we need to create an Elasticsearch token like this
+
+```shell
+$ bin/elasticsearch-create-enrollment-token --scope kibana
+warning: ignoring JAVA_HOME=/Library/Java/JavaVirtualMachines/temurin-11.jdk/Contents/Home; using bundled JDK
+eyJ2ZXIiOiI4LjUuMyIsImFkciI6WyIxOTIuMTY4LjE3My42OjkyMDAiXSwiZmdyIjoiMjM3NjZhNjNmOThkZjYxOGYzNWUxZmVmOGE3NDhkZTk1MWFhMDYxZWM5YjZkOWQwMWJjYTYzNWY4NzIzMzI0MSIsImtleSI6Ik9XWDFQb1VCel81aUhyRm5vNHFTOlRoTGRXSXpLVGVDMmxTNGF1b1BIT1EifQ==
+```
+
+### Kibana
+Download [Kibana](https://www.elastic.co/downloads/kibana) for your platform and install it
+
+```shell
+$ tar xzf kibana-8.5.3-darwin-aarch64.tar.gz
+$ cd cd kibana-8.5.3
+$ ./bin/kibana
+```
+
+If you encounter the below error when starting Kibana then check this article for a resolution - [link](https://dzlab.github.io/2022/12/21/kibana-issue/)
+
+```shell
+FATAL  Error: dlopen(/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node, 0x0001): tried: '/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node' (code signature in <1683A937-8902-34BD-9886-2F1CC674A96E> '/Users/dzlab/Tools/kibana-8.5.3/node_modules/re2/build/Release/re2.node' not valid for use in process: library load disallowed by system policy)
+```
+
+If Kibana starts successfully then it should be available at http://localhost:5601  
+```shell
+$ bin/kibana
+[2022-12-21T12:58:37.552+01:00][INFO ][node] Kibana process configured with roles: [background_tasks, ui]
+[2022-12-21T12:58:43.152+01:00][INFO ][plugins-service] Plugin "cloudExperiments" is disabled.
+
+Go to http://localhost:5601/?code=242129 to get started.
+```
+
+When visting Kibana dashboard for the first time, it will ask for the enrollment token that we created earlier during Elasticsearch setup. Once, the token is entered, Kibana server will output in its logs a code that you wil enter in the UI, for instance:
+```shell
+
+Your verification code is:  005 216 
+```
+
+After that a widget will ask for Elasticsearch username/password.
+
+### Packetbeat
+First we need to downlaod the binaries of [Packetbeat](https://www.elastic.co/downloads/beats/packetbeat)
+```shell
+$ tar xzf packetbeat-8.5.3-darwin-aarch64.tar.gz
+$ cd packetbeat-8.5.3-darwin-aarch64
+```
+
+When trying to start the `packetbeat` process you will encounter this issue
+```shell
+$ sudo ./packetbeat -e -c packetbeat.yml
+Password:
+
+Exiting: error loading config file: config file ("packetbeat.yml") must be owned by the user identifier (uid=0) or root
+```
+
+We need to prevent any other user than `root` to modify the configuration file `packetbeat.yml` (for details check [config file permissions](https://www.elastic.co/guide/en/beats/libbeat/current/config-file-permissions.html)).
+1. For quick testing we can simply start`packetbeat` with strict mode disabled `-strict.perms=false` as follows:
+```shell
+$ sudo ./packetbeat -e -c packetbeat.yml -strict.perms=false
+```
+1. A better option is it to simply change the file owner like this
+```shell
+sudo chown root ./filebeat/filebeat.yml
+sudo chmod go-w ./filebeat/filebeat.yml
+```
+
+After starting the `packetbeat` process, I was not able to stop it with a simple `Ctrl+C` or `Ctrl+Z` (it was ignoring those signals). So in a new terminal, I end up using `kill -9` like this
+```shell
+$ ps aux | grep beat
+root             52753   0.7  0.4 409478496  70160 s006  S+   10:30AM   0:02.99 ./packet**beat** -e -c packet**beat**.yml -strict.perms=false
+dzlab            53080   0.0  0.0 408628368   1664 s005  S+   10:42AM   0:00.00 grep --color=auto --exclude-dir=.bzr --exclude-dir=CVS --exclude-dir=.git --exclude-dir=.hg --exclude-dir=.svn --exclude-dir=.idea --exclude-dir=.tox **beat**
+root             52752   0.0  0.0 408647952   5568 s006  S+   10:30AM   0:00.02 sudo ./packet**beat** -e -c packet**beat**.yml -strict.perms=false
+
+$ sudo kill -9 52753
+```
+Now going back to terminal running `packetbeat` I see
+```shell
+{"log.level":"error","@timestamp":"2022-12-21T10:42:23.433+0100","log.logger":"esclientleg","log.origin":{"file.name":"transport/logging.go","file.line":38},"message":"Error dialing dial tcp [::1]:9200: connect: connection refused","service.name":"packetbeat","network":"tcp","address":"localhost:9200","ecs.version":"1.6.0"}
+[1]    52752 killed     sudo ./packetbeat -e -c packetbeat.yml -strict.perms=false
+```
+
+
+## That's all folks
+
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
\ No newline at end of file
diff --git a/_posts/2023-04-17-elastic-network-observability-gcp.md b/_posts/2023-04-17-elastic-network-observability-gcp.md
new file mode 100644
index 0000000..fbaa900
--- /dev/null
+++ b/_posts/2023-04-17-elastic-network-observability-gcp.md
@@ -0,0 +1,195 @@
+---
+layout: post
+comments: true
+title: Network observability with Elasticsearch on GCP
+excerpt: On building a comprehensive Network observability platform with the Elastic stack on GCP
+tags: [elasticsearch,network,gcp]
+toc: true
+img_excerpt:
+---
+
+![GCP Network observability elasticsearch architecture]({{ "/assets/2023/04/2023-04-17-network-observability-elastic-architecture-gcp.svg" | absolute_url }})
+
+On a previous [Article](https://dzlab.github.io/2023/03/04/elastic-network-observability-i/), we discussed the need for setting up a centeralized log management platform to debug network issues.
+
+
+In the remaining of this article, we will briefly describe the architecture and then deep dive into deploying it on GCP using Cloud Deployment Manager.
+
+## Overview of the architecture
+
+The above diagram illustrates a high level solution on how to build a network observability platform with Elasticsearch on GCP.
+
+Logs from VPC Flow logs are batched into files and then uploaded to a Cloud Storage bucket. Every time, a file is uploaded an new entry is appended to PubSub queue with information about the file. This triggers a Cloud Function that will process and ingest the logs into Elasticsearch. Once the logs reach Elasticsearch, they can be retrived though Kibana or used to populate a custom dashboard.
+
+In addition to VPC Flow logs, other sources of logs can be integrated into this architecture to debug other type of issues (e.g. permission errors) for instance Cloud Audit Logs and Cloud CDN logs in batch mode.
+
+In some cases, errors are encountered inside the Cloud Function during the processing of log files. In such cases, the Cloud Function can forward the original Cloud Storage event to a [Dead-Letter Queue (DLQ)](https://cloud.google.com/pubsub/docs/handling-failures), which will cause the messages with failures to be sent back to the main queue for reprocessing.
+
+## Deploying with Cloud Deployment Manager
+Elasticsearch cluster can be deployed from GCP Marketplace while other GCP resources like the VPC Flow Logs, the Cloud Storage buckets, the Cloud Function, and the PubSub queues can be deployed with Cloud Deployment Manager as follows:
+
+First, configure the different resources as follows 
+```yaml
+resources:
+# Cloud Storage bucket where log files will be uploaded
+- name: logs-bucket
+  type: storage.v1.bucket
+  properties:
+    name: logs-bucket
+    location: us-central1
+    storageClass: STANDARD
+
+# PubSub queue for notifications when log files are uploaded
+- name: logs-upload-topic
+  type: pubsub.v1.topic
+  properties:
+    name: logs-upload-topic
+
+# Cloud Function for processing log files and ingesting them
+- name: logs-processing-function
+  type: cloudfunctions.v1.function
+  properties:
+    name: logs-processing-function
+    runtime: nodejs14
+    trigger_http: true
+    source_archive_bucket: my-bucket
+    source_archive_object: my-function.zip
+```
+
+Then, we need to make sure that VPC Flow logs are uploaded to a designated Cloud Storage bucket. For instance, using Cloud Deployment Manager we can do the following:
+```yaml
+resources:
+- name: my-flow-log
+  type: compute.v1.flow_log
+  properties:
+    name: my-flow-log-name
+    target_bucket: logs-bucket
+    filter:
+      source_ranges:
+      - 10.0.0.0/8
+```
+
+When a new VPC Flow Log file is uploaded to the Cloud Storage bucket, we want to put an entry in PubSub queue with information about the file such as the file name, the file size, and the file content.
+
+Using `gsutil`, we can create such a notification rule by providing the source bucket to be notified when files are uploaded to it, and specifying the destination PubSub queue where notifications will be sent. This is an example configuration:
+```shell
+gsutil notification create -t logs-upload-topic -f json -e OBJECT_FINALIZE gs://logs-bucket
+```
+
+Next, we need to create an event trigger for the Cloud Function that will process log files and ingest them into Elasticsearch. The event trigger should be set to fire when a new entry is added to the PubSub queue. In Cloud Deployment Manager, we can define a subscription as follows:
+
+```yaml
+- name: logs-subscription
+  type: pubsub.v1.subscription
+  properties:
+    name: logs-subscription
+    topic: logs-upload-topic
+    topic_path: projects/my-project/topics/logs-upload-topic
+    push_config:
+      push_endpoint: https://us-central1-functions.cloudfunctions.net/logs-processing-function
+```
+
+Save the content from all the previous snippets into `resources.yaml`, then provision them with
+```shell
+gcloud deployment-manager deployments create logs-deployment --config resources.yaml
+```
+
+Inside the Cloud Function, we need implement the logic to process log files and ingest them to Elasticsearch. The following snippet illustrates a very simplifed version:
+
+```js
+// Import the Cloud Storage and Elasticsearch libraries
+const {Storage} = require('@google-cloud/storage');
+const elasticsearch = require('elasticsearch');
+
+exports.handler = async (event, context) => {
+  // Create an Elasticsearch client
+  const es = new elasticsearch.Client({
+    host: 'elasticsearch.example.com',
+    port: 9200,
+  });
+
+  // Get the file name from the event
+  const fileName = event.name;
+
+  // Get the file contents
+  const file = await Storage.bucket(event.bucket).file(fileName).read();
+
+  const data = file.Body.toString();
+
+  const index = 'logs';
+  const doc = {
+    message: data,
+  };
+
+  // Index the file contents into Elasticsearch
+  await es.index({
+    index: index,
+    type: 'doc',
+    id: key,
+    document: doc,
+  }).promise();
+
+  // Return a success message
+  return {
+    message: `File ${fileName} ingested into Elasticsearch`,
+  };
+};
+```
+
+After everything is deployed, the VPC flow logs will be uploaded to Cloud Storage and then ingested into Elasticsearch. We can verify that the logs are being ingested by querying Elasticsearch. For example, you can use the following command to search for all logs that contain the word `"error"`:
+
+```sh
+curl -XGET 'http://<ELASTICSEARCH_HOST>:<ELASTICSEARCH_PORT>/logs/_search?q=error'
+```
+
+If the logs are being ingested, you should see a response that contains a list of documents that match the search criteria.
+
+## Searching the logs
+Elasticsearch provides very powerful search capbilities to search and analyze large amounts of data. It has a simple and an extensive search syntax. For instance to retrieve from the logs all `REJECTED` network traffic with a source IP from the 10.0.0.0/8 CIDR range and a destination IP, we can use the following query:
+
+```json
+{
+  "query": {
+    "bool": {
+      "must": [
+        {
+          "match": {
+            "type": "REJECTED"
+          }
+        },
+        {
+          "range": {
+            "source_ip": {
+              "gte": "10.0.0.0",
+              "lte": "10.255.255.255"
+            }
+          }
+        },
+        {
+          "match": {
+            "destination_ip": {
+              "exists": true
+            }
+          }
+        }
+      ]
+    }
+  }
+}
+```
+
+The above query will first match all documents that have a type of "REJECTED". It will then match all documents that have a source IP address that falls within the 10.0.0.0/8 CIDR range. And finally, it will match all documents that have a destination IP address that exists.
+
+
+We can simplify our search query using the [Kibana Query Language](https://www.elastic.co/guide/en/kibana/current/kuery-query.html). Which is a powerful way to search and filter data in Elasticsearch. It is a query language that allows you to specify the criteria that you want to use to search for documents. Kibana search syntax uses a variety of keywords to specify the criteria for your search, like the `match` keyword to match specific values. It also allows the use of logical operators (e.g. `AND`, `OR`) to combine multiple criteria.
+
+Back to our search query, we can simplify it using Kibana query syntax as follows:
+
+```
+source.ip:10.0.0.0/8 AND event.action:rejected AND destination.ip:*
+```
+
+This query will return all rejected network traffic with a source IP from the 10.0.0.0/8 CIDR range and a destination IP.
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-04-26-elastic-cybersecurity.md b/_posts/2023-04-26-elastic-cybersecurity.md
new file mode 100644
index 0000000..c9b3e66
--- /dev/null
+++ b/_posts/2023-04-26-elastic-cybersecurity.md
@@ -0,0 +1,67 @@
+---
+layout: post
+comments: true
+title: Elasticsearch use cases in cybersecurity
+excerpt: Learn about the difference use cases for Elasticsearch in a cybersecurity context
+tags: [elasticsearch,cybersecurity]
+toc: true
+img_excerpt:
+---
+
+<img align="left" src="/assets/logos/elasticsearch.svg" width="120" />
+<img align="left" src="/assets/logos/kibana.svg" width="100" />
+<img align="center" src="/assets/logos/elastic-beats-logo-vector.svg" width="150" />
+<br/>
+
+Elastic Stack at its core relies on Elasticsearch, Kibana and a variety of data ingestion tools. Elasticsearch with its capabilities for indexing and retrieving of textual data, and Kibana for analytics and visualization of data stored in Elasticsearch indices. Furthermore, Kibana is very intuitive, making it very easy to perform advanced data analysis and visualize of data in a variety of charts, tables, and maps.
+
+In the context of cybersecurity, and thanks to Elasticsearch performance and extensibility, analysts can apply it to protect their organizations. Some example of those applications are:
+
+- **Log analysis:** Elasticsearch can be used to store and search through large amounts of log data from different sources, such as network devices, servers, and applications. This can help identify anomalies, detect attacks, and analyze patterns that could indicate potential threats.
+- **Security incident response:** When responding to security incidents, such as breaches or malware outbreaks, Elasticsearch can be used to quickly search through logs and other relevant data to gather evidence and track down the source of the attack.
+- **Intrusion Detection/Prevention Systems (IDS/IPS):** IDS/IPS systems generate a lot of alerts which need to be investigated by security analysts. Elasticsearch can act as a central repository for these alerts, allowing security teams to easily search and filter them based on multiple criteria such as IP addresses, user agents etc., and automate certain actions like blocking IPs etc.
+- **Security Information and Event Management (SIEM):** SIEM solutions aggregate data from various security tools including firewalls ,IPS/IDS etc and uses machine learning algorithms to create correlation rules .Elasticsearch can act as a powerful back end database to store this correlated data and provide real time query capabilities to detect new kinds of advanced persistent threat .It provides ability to perform complex queries on structured ,semi structured and unstructured data at very low latency which makes it extremely scalable compared to traditional relational databases
+- **Fraud detection:** Elasticsearch can be used to build models for fraud detection by analyzing transactional data, browsing behavior, and device metadata.
+- **Insider Threat Detection:** By collecting and indexing data related to employee activity within company networks and infrastructure, Elasticsearch can be leveraged to flag any unusual activities and raise red flags for further investigation
+
+## Elastic Security
+The Elastic stack has a dedicated solution for cybersecurity purposes that combines analytical capabilities (like threat detection) and protection capabilities (like endpoint prevention and response) into one offering. On a high level, Elastic Security offers following benefits and capabilities:
+
+- A rule-based detection engine to identify attacks and misconfigurations
+- Machine learning anomaly jobs to detect signatureless attacks
+- Kibana-based interactive visualizations for ad-hoc analysis
+- A central place for case management, event triage and investigations
+
+
+![Elastic Security stack architecture]({{ "/assets/2023/04/2023-04-25-elastic-security-architecture.svg" | absolute_url }})
+
+The above diagram depicts the overall architecture of Elastic Security and its different components. 
+
+Data is ingested into Elasticsearch from different sources:
+- Using Beats to collect audit logs, metrics, network packets, etc.
+- Using Logstch to collect and transform any format of logs
+- Using Elastic Agent to collect data from hosts and remote machines
+- Using third party connectors, for instance to collect data from databases
+
+A Detection engine is used to continuously search for signs of attacks (e.g. suspicious host and network activity). It relies on a set of Detection rules to periodically search the data for suspicious events and generate alerts when such events are discovered. Users can provide their own rules or use the ones packages with Elastic Security. Furthermore, it provides a Machine learning base a anomaly detection components that analyses host and network data for potential attacks and provide a score for further investigation by an analyst.
+
+In the rest of this article we will focus on the **Vulnerability management** use case of cybersecuirty and discuss how Elastic stack can be leveraged for this specific type of applications.
+
+## Vulnerability management
+
+As depicted in the following diagram, **Vulnerability management** can be defined as the process of identifying, analyzing, and addressing weaknesses and vulnerabilities present in software products, networks, or systems. It involves continuous discovery, tracking, reporting, and mitigation of known vulnerabilities to prevent potential threats from being exploited. Thus making it an important practice for any organization as it helps maintaining a secure environment, meeting regulatory compliance obligations, and reducing risks from cybersecurity threats.
+
+Elasticsearch offers numerous benefits when applied to vulnerability management processes, providing both automation and scalability to address the increasing volume and complexity of incoming vulnerabilities. Here are some specific use cases where Elasticsearch might play a vital role in vulnerability management:
+
+- **Vulnerability Correlation:** Elasticsearch allows security teams to correlate vulnerabilities across their entire environment by storing and searching through large volumes of scan results from various sources. This helps prioritize remediation efforts and ensure critical assets receive the most attention.
+- **Patch Management:** Elasticsearch can help organizations efficiently manage patches and updates for known vulnerabilities. With accurate tracking of installed software versions, IT administrators can proactively apply necessary patches before vulnerabilities become exploitable.
+- **Asset Discovery & Tracking:** Organizations often struggle with asset discovery and tracking, especially in dynamic environments with rapidly changing infrastructures. Elasticsearch can aid in identifying all connected devices on a network, providing contextual information around each asset, and associating detected vulnerabilities accordingly.
+- **Compliance Monitoring:** To meet industry regulations such as PCI DSS, HIPAA, GDPR, etc., organizations must continuously monitor for compliance gaps and ensure effective risk mitigation measures are in place. Elasticsearch enables faster scanning, reporting, and auditing processes, making it easier to maintain regulatory compliance.
+- **False Positive Filtering:** Security professionals spend significant time manually reviewing vast amounts of scan results to distinguish actual issues from false positives. Leveraging Elasticsearch’s full text search functionality, security teams can automatically reduce noise levels by weeding out unlikely matches.
+- **Contextual Intelligence Sharing:** With open APIs, integration into numerous third-party systems is achievable, enabling collaboration and sharing of data insights among stakeholders. By consuming external feeds such as threat intelligence reports, incident notifications, and CVE advisories.
+
+
+## That's all folks
+We went through a veriety of cybersecurity related use cases for Elasticsearch and then focused on the vulnerability management use case. In a next article, we will implement a vulnerability tracking system based on Elasticsearch. Stay tuned!
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-05-14-elastic-gcp-deployment.md b/_posts/2023-05-14-elastic-gcp-deployment.md
new file mode 100644
index 0000000..f25523a
--- /dev/null
+++ b/_posts/2023-05-14-elastic-gcp-deployment.md
@@ -0,0 +1,170 @@
+---
+layout: post
+comments: true
+title: Deploy Elasticsearch on GCP using Terraform
+excerpt: Deploy a high available ElasticSearch Cluster on GCP using Terraform
+tags: [elasticsearch,gcp]
+toc: true
+img_excerpt:
+---
+
+<img align="left" src="/assets/logos/elasticsearch.svg" width="120" />
+<img align="center" src="/assets/logos/icons8-google-cloud.svg" width="120" />
+<br/>
+
+
+Elasticsearch is available in GCP marketplace as a fully managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters within Google Cloud platform. With GCP Elasticsearch service, we can create GCP Elasticsearch architecture that suits our application needs at the click of a button. Furthermore, it does provide seamless way for data ingestion; time is saved for monitoring, software patching, backup, failure recovery, and many more benefits that the customers can use.
+
+In this article, instead of going with the few clicks approach, we will use the hard way to deploy a hight-available ElasticSearch on GCP using Terraform.
+
+Our target architecture to host ElasticSearch is a deployed in one dedicated VPC with the following configuration:
+- 1 Region
+- 2 Availability Zones
+- 4 subnets (2 public, 2 private)
+- Elasticsearch instances are deployed in the private subnets
+- Access to private subnets is nated through the public ones
+
+First, define a [tfvar](https://www.terraform.io/docs/configuration/variables.html) file with the common parts:
+
+```
+project_id = "my-project"
+region = "us-east1"
+```
+
+Next, we set the Terraform provider to GCP and create our dedicated VPC
+
+```
+provider "google" {
+  project = var.project_id
+  region = var.region
+}
+
+resource "google_compute_network" "default" {
+  name = "my-vpc"
+}
+```
+
+Next, we create the networking infrastructure: a VPC with 2 subnets in each of 2 availability zones. In each public subnet, a Cloud NAT is created to translate IP addresses of the private subnet.
+
+```
+resource "google_compute_subnetwork" "public_us_central1_a" {
+  name = "public-us-central1-a"
+  network = google_compute_network.default.name
+  region = var.region
+  ip_cidr_range = "10.0.1.0/24"
+}
+
+resource "google_compute_subnetwork" "private_us_central1_a" {
+  name = "private-us-central1-a"
+  network = google_compute_network.default.name
+  region = var.region
+  ip_cidr_range = "10.0.2.0/24"
+}
+
+resource "google_compute_subnetwork" "public_us_central1_b" {
+  name = "public-us-central1-b"
+  network = google_compute_network.default.name
+  region = var.region
+  ip_cidr_range = "10.0.3.0/24"
+}
+
+resource "google_compute_subnetwork" "private_us_central1_b" {
+  name = "private-us-central1-b"
+  network = google_compute_network.default.name
+  region = var.region
+  ip_cidr_range = "10.0.4.0/24"
+}
+
+resource "google_compute_nat" "nat_us_central1_a" {
+  name = "nat-us-central1-a"
+  network = google_compute_network.default.name
+  region = var.region
+  subnetwork = google_compute_subnetwork.public_us_central1_a.name
+}
+
+resource "google_compute_nat" "nat_us_central1_b" {
+  name = "nat-us-central1-b"
+  network = google_compute_network.default.name
+  region = var.region
+  subnetwork = google_compute_subnetwork.public_us_central1_b.name
+}
+```
+
+Next, to be able to access the Elasticsearch instances we create two cloud routes, one for each private subnet. The routes will point to the Cloud NATs in the respective public subnets. This will allow instances in the private subnets to access the internet through the Cloud NATs.
+
+```
+resource "google_compute_route" "private_us_central1_a" {
+  name = "private-us-central1-a"
+  network = google_compute_network.default.name
+  dest_range = "0.0.0.0/0"
+  next_hop_gateway = google_compute_nat.nat_us_central1_a.gateway
+}
+
+resource "google_compute_route" "private_us_central1_b" {
+  name = "private-us-central1-b"
+  network = google_compute_network.default.name
+  dest_range = "0.0.0.0/0"
+  next_hop_gateway = google_compute_nat.nat_us_central1_b.gateway
+}
+```
+
+Finally, we create the Elasticsearch instances, one in each private subnet. The instances will be configured as a single-node cluster.
+
+```
+resource "google_compute_instance" "elasticsearch_us_central1_a" {
+  name = "elasticsearch-us-central1-a"
+  machine_type = "n1-standard-1"
+  zone = "us-central1-a"
+  subnetwork = google_compute_subnetwork.private_us_central1_a.name
+  boot_disk {
+    initialize_params {
+      image = "debian-cloud/debian-11"
+    }
+  }
+  network_interface {
+    network = google_compute_network.default.name
+    access_config {
+      egress {
+        egress_rule {
+          to_port = 0
+          to_addresses = ["0.0.0.0/0"]
+        }
+      }
+    }
+  }
+  provisioner "remote-exec" {
+    inline = ["sudo apt-get update && sudo apt-get install -y elasticsearch"]
+  }
+}
+
+resource "google_compute_instance" "elasticsearch_us_central1_b" {
+  name = "elasticsearch-us-central1-b"
+  machine_type = "n1-standard-1"
+  zone = "us-central1-b"
+  subnetwork = google_compute_subnetwork.private_us_central1_b.name
+  boot_disk {
+    initialize_params {
+      image = "debian-cloud/debian-11"
+    }
+  }
+  network_interface {
+    network = google_compute_network.default.name
+    access_config {
+      egress {
+        egress_rule {
+          to_port = 0
+          to_addresses = ["0.0.0.0/0"]
+        }
+      }
+    }
+  }
+  provisioner "remote-exec" {
+    inline = ["sudo apt-get update && sudo apt-get install -y elasticsearch"]
+  }
+}
+```
+
+To deploy this infrastructure, group eveyrthing in a single file and run `terraform apply`.
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-07-06-llm-caching.md b/_posts/2023-07-06-llm-caching.md
new file mode 100644
index 0000000..8364260
--- /dev/null
+++ b/_posts/2023-07-06-llm-caching.md
@@ -0,0 +1,280 @@
+---
+layout: post
+comments: true
+title: Scale LLM-based applications to millions with LangChain and GPTCache
+excerpt: Learn how to leverage GPTCache with LangChain to reduce latency of LLM-based applications and improve scalability
+tags: [nlp,langchain]
+toc: true
+img_excerpt:
+---
+
+## Overview
+In Software Engineering, whenever there is high cost for producing a result for a given query, a cache is used to avoid wasting resources again and again on calcuting the same result. Usually, the way a cache is a key-value data structure used as follows:
+- For a first time seen query, the results are stored temporarily in high-speed storage layers (e.g. RAM or SSDs), 
+- When a new query arrives, we first check if results are available in the cache before triggering a new caculation
+- Results are sent back to the client and also store in the cache for next time retrieval
+
+The use of cache, in most cases, causes application performance boost, better scalability, and reduced operational and financial costs (see [OpenAI API pricing](https://openai.com/pricing)).
+
+In the case of LLM applications, caching usually relies on the use of embedding algorithms to convert queries into embeddings and then uses a vector store for similarity search on these embeddings. This allows the identification and retrieval of similar prompt/queries from the cache so that answers are returned immediately without calling model endpoints.
+
+### Enter GPTCache
+The LangChain library has become the backbone of LLM-based applications, it simplifies the development a lot and allows the chaining (hence the name) of different components: streamline prompt optimization, invoke models API, etc. It does provide serveral ways to cache prompt-completion pairs via third-party integrations. [GPTCache](https://zilliz.com/what-is-gptcache) is one of the well supported LLM cache systems.
+
+<img alt="infrastructure related to GPTCache" src="https://zilliz.com/images/opensourceGptCache/infra.svg">
+
+As depicted in the above diagram, GPTCache has several modules:
+
+- **LLM Adapter** allows a smooth integratation with with LLMs
+- **Multimodal Adapter** allows the integratation with multimodal models
+- **Embedding Generator** allows the use several embedding algorthms such as OpenAI embeddings
+- **Cache Storage** to save LLM responses
+- **Vector Store** supports vectordbs Milvus, FAISS and Chroma among others
+- **Cache Manager** implements different eviction strategies to ensure the cache is clean and not full
+- **Similarity Evaluator** collects data from Cache and Vector Storage and evaluates the similarity between the input request and stored embeddings
+
+
+### LLM-based application 
+In the remaining of this article, we will see how caching the responses generated by language models improves the efficiency and speed of LLM-based applications. In particular, how we can limit cost by reducing network traffic to OpenAI API. We will:
+
+- Build a knowledge base of Arxiv papers for testing
+- Create embeddings for documents and store them in a vector database
+- Setup LangChain to query data from the vector database
+- Use GPTCache to reduce network requests
+
+
+## Setup
+Let's start by setting up everything.
+
+
+### LLM
+We can use any LLM for this experiment but for simplicity we will go with OpenAI. So sign up to the service, and generate an API Key. Then create a `.env` to store the key as follows:
+```shell
+OPENAI_API_KEY=<your_key_here>
+```
+
+### Instalation
+First, let's install all necessary libraries
+
+```shell
+pip install langchain gptcache openai tiktoken python-dotenv arxiv pypdf
+```
+
+Then, import general purpose libraries
+
+```python
+from urllib.error import HTTPError
+from dotenv import load_dotenv
+from tqdm import tqdm
+import os
+
+import logging
+import arxiv
+import time
+```
+
+Import `langchain` related helpers and classes, for instance `RecursiveCharacterTextSplitter` which will recursively try to find best way (i.e. split character) to split words. Also, `PyPDFDirectoryLoader` to load pdfs from a given directory.
+
+```python
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.document_loaders import PyPDFDirectoryLoader
+
+from langchain import OpenAI
+from langchain.chains.question_answering import load_qa_chain
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.vectorstores import Milvus
+```
+
+Import `GPTCache` related helpers and classes, e.g. similarity evaluation function.
+
+```python
+from gptcache.adapter.langchain_models import LangChainLLMs
+from gptcache import cache
+from gptcache.embedding import Onnx
+from gptcache.manager import CacheBase, VectorBase, get_data_manager
+from gptcache.similarity_evaluation.distance import SearchDistanceEvaluation
+```
+
+Then, load environment variables like OpenAI API token.
+
+```python
+load_dotenv()
+```
+
+### Vector Databse
+Next, we need to setup a Vector database to store the embeddings. We will use `Milvus` which support caching too. `Milvus` is an open source database that can be self-hosted or use the managed Milvus instance at https://cloud.zilliz.com/. In our case, we will use Docker Compose to run it locally.
+
+First, download Milvus's Docker Compose YAML file to run it
+
+```shell
+curl https://github.com/milvus-io/milvus/releases/download/v2.2.10/milvus-standalone-docker-compose.yml -o docker-compose.yml
+```
+
+Then start the Milvus database with:
+
+```shell
+docker-compose up -d
+```
+
+Wait for few seconds and then we should see that the containers up and running. We could also watch the containers status by running in the terminal `docker ps`.
+
+
+### GPTCache
+As explained earlier, GPTCache is composed of multiple components, each one can be configured separately.
+In order to work with GPTCache, you have to initialize it first
+
+
+First, we define a function that takes a dictionary as input and returns the last part of the prompt key, after the "Question" string. For example, if the prompt key is "Question: What is the meaning of life?", the function would return "the meaning of life".
+
+```python
+def get_content_func(data, **_):
+    return data.get("prompt").split("Question")[-1]
+```
+
+The next few lines of code create objects needed by the cache:
+- `Onnx`: to convert text into embeddings.
+- `CacheBase`: to store the embeddings in a database.
+- `VectorBase`: to interact with the Milvus vector database.
+- `data_manager`: that wrappers the CacheBase and VectorBase classes.
+
+```python
+onnx = Onnx()
+cache_base = CacheBase("sqlite")
+vector_base = VectorBase(
+    "milvus",
+    host="localhost", port="19530",
+    dimension=onnx.dimension,
+    collection_name="arxiv"
+    )
+data_manager = get_data_manager(cache_base, vector_base)
+```
+
+Then, we call the init() method on the cache object with the previously created objects to initialize GPTCache. The inititialization takes several arguments, including:
+- `pre_embedding_func`: a function to extract the content from the input data.
+- `embedding_func`: a function to convert the content into embeddings. 
+- `data_manager`: an object to store the embeddings.
+- `similarity_evaluation`: an object to evaluate the similarity between embeddings.
+
+```python
+cache.init(
+    pre_embedding_func=get_content_func,
+    embedding_func=onnx.to_embeddings,
+    data_manager=data_manager,
+    similarity_evaluation=SearchDistanceEvaluation(),
+)
+```
+
+Finallay, we call `set_openai_key()` method on the cache to set the OpenAI API key.
+
+```python
+cache.set_openai_key()
+```
+
+## Knowledge base
+Next, we need to build a knowledge base that we will inquiry with OpenAPI. We will use a collection of [Arxiv](https://arxiv.org/) papers that we will download in their PDF format.
+
+First, pick a query for selecting papers from Arxiv
+```python
+search = arxiv.Search(
+    query = "A survey of Large Language Models" 
+)
+```
+
+Let's have a look at the metadata of the paper
+```python
+for result in search.results():
+    print(f"    Link: {result.pdf_url}")
+    print(f"      ID: {result.get_short_id()}")
+    print(f"   Title: {result.title}")
+    print(f"Category: {result.categories}")
+    print(f" Summary: {result.summary[:200]}")
+```
+
+Create a directory to host the arxiv papers
+```python
+ARXIV_DIR = "arxiv"
+os.mkdir(ARXIV_DIR)
+```
+
+Then, download the papers into that directory
+
+```python
+for paper in tqdm(search.results()):
+    paper.download_pdf(dirpath=ARXIV_DIR)
+    print(f"Paper ID {paper.get_short_id()} with title '{paper.title}' is downloaded.")
+```
+
+Then, we load the pages from all the papers that we downloaded
+```python
+papers = []
+loader = PyPDFDirectoryLoader(ARXIV_DIR)
+pages = loader.load()
+
+print(f"Total number of pages: {len(pages)}")
+```
+
+Next, we need to merge all pages into a single text block so we can split it using `RecursiveCharacterTextSplitter`.
+
+```python
+full_text = ''.join([page.page_content for page in pages])
+
+full_text = " ".join(line for line in full_text.splitlines() if line)
+
+text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
+docs = text_splitter.create_documents([full_text])
+```
+
+
+Then, we calculate the embeddings for every chuck and store everything in our Vector database
+```python
+embeddings = OpenAIEmbeddings()
+
+vector_db = Milvus.from_documents(
+    docs,
+    embeddings,
+    connection_args={"host": "localhost", "port": "19530"}
+    )
+```
+
+## Querying the Knowledge base
+Before proceeding further, we need to check that everything in the vector database is properly configured. For this, let's run a simple sanity check query.
+
+```python
+docs = vector_db.similarity_search("What are the latest achievements?")
+```
+
+> Note: we could enable logging to see DEBUG messages about how requests are routed to OpenAI API or served from the cache.
+
+We can ask the same question with returned documents as context to generate a response:
+
+```python
+llm = LangChainLLMs(llm=OpenAI(temperature=0))
+chain = load_qa_chain(llm, chain_type="stuff")
+res = chain.run(input_documents=docs, question="What are the latest achievements?")
+print(res)
+```
+
+At this point, the question and response pair are cached, and any new query that is considered similar will receive a same answer directly from the cache. Let's confirm:
+
+```python
+res = chain.run(input_documents=docs, question="Tell us about any recent advancements?")
+print(res)
+```
+
+Ask another different question that should not have a cached answer to cause a request to be sent to OpenAI API.
+```python
+res = chain.run(input_documents=docs, question="Are we able to solve legal tasks?")
+print(res)
+```
+
+And another a similar question
+```python
+res = chain.run(input_documents=docs, question="Do we have the ability of legal interpretation and reasoning?")
+print(res)
+```
+
+Try this on a different set of papers, or even on your own knowledge base.
+
+
+## That's all folks
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-07-20-gen-apps-gcp.md b/_posts/2023-07-20-gen-apps-gcp.md
new file mode 100644
index 0000000..68d421d
--- /dev/null
+++ b/_posts/2023-07-20-gen-apps-gcp.md
@@ -0,0 +1,151 @@
+---
+layout: post
+comments: true
+title: Deploy Generative applications on GCP with Cloud Run
+excerpt: Learn how to deploy generative applications on Google Cloud Platform with Cloud Run
+tags: [ai,gcp,genai]
+toc: true
+img_excerpt:
+---
+
+<img align="center" src="/assets/logos/icons8-google-cloud.svg" width="120" />
+<br/>
+
+Vertex AI in Google Cloud Platform provides a comprehensive set of tools and services that make it easy to build and deploy generative AI applications. For developpement and testing, Vertex AI provides:
+
+- [Model Garden](https://cloud.google.com/model-garden): Access to foundation models which are pre-trained generative AI models to prototype and test generative AI applications without the need to train your own models. Those models cover tasks for generating text, images, code, and other classical tasks like object detection, etc.
+- [Generative AI Studio](https://cloud.google.com/generative-ai-studio): a managed environment called that makes it easy to interact with, tune, and deploy foundation models. It also provides a graphical user interface that allows you to design prompts, test models, and deploy models to production.
+
+
+Further more, Vertex AI also allows you to customize foundation models through the Vertex AI Custom Training service to train your own models, or through the Vertex AI Model Tuner service to fine-tune foundation models. Then, once you have trained or tuned a model, you can deploy it to production using the Vertex AI Prediction service which provides a scalable and reliable way to serve models.
+
+In the rest of this article, we will be building Generative application by using only plain API/SDK from Vertex AI without going through services like [Gen App Builder](https://cloud.google.com/blog/products/ai-machine-learning/create-generative-apps-in-minutes-with-gen-app-builder).
+
+![Vertex AI]({{ "/assets/2023/07/2023-07-20-vertex-ai.svg" | absolute_url }})
+*Google Cloud Generative AI services*
+
+## Generative AI with Vertex AI Python SDK
+Using the [Python SDK for Vertex AI](https://cloud.google.com/vertex-ai/docs/python-sdk/use-vertex-ai-python-sdk) we can build Generative AI applications as it provides an API for interacting with LLMs (large language models). The SDK let us load an LLM from Google Cloud and use it to generate text, translate languages, write different kinds of generative tasks. It also provide ways to fine-tune an LLM on a specific task and then deploy it.
+
+For example, the following snippet uses the Python SDK to load an LLM and ask for a prediction for the input prompt. In this case we use [PaLM](https://developers.generativeai.google/models/language)'s `text-bison@001` which is capable of many generative tasks including:
+- Text generation
+- Information extraction
+- Code generation
+- Recommendations generation
+- etc.
+
+```python
+import vertexai
+from vertexai.language_models import TextGenerationModel
+
+vertexai.init(project="PROJECT_ID", location="us-central1")
+parameters = {
+    "temperature": 0.5,
+    "max_output_tokens": 256,
+    "top_k": 3,
+    "top_p": 0.5
+}
+model = TextGenerationModel.from_pretrained("text-bison@001")
+prompt = "What is PaLM good for?"
+completion = model.predict(prompt, **parameters)
+```
+
+In the above snippet, we pass to the LLM some parameters that will control the randomness of the output and thus its quality/relevance. This is a brief examplanation of what does each parameter stand for:
+
+- `temperature`: The higher the value the more random, diverse/creative the response will be.
+- `max_output_tokens`: the Token limit is the amount of text the LLM will generate.
+- `top_k`: The top k most probable tokens from which the next token is selected. A higher value of k will result in more randomness, while a lower value will result in less randomness and an output that is likely to be relevant and coherent. 
+- `top_p`: the threshold of cumulative probability of a range of tokens in the output, i.e. the next token will be selected from the top tokens whose sum of probabilities is greater than or equal to `p`. A higher value of `p` will result in more randomness, while a lower value will result in less randomness.
+
+> Note: the prompt passed to the LLM  is a text that is used to guide the LLM to generate a specific output. In this example it is a simple question, but it could proceeded be a few samples of questions and answers to hint the model about the kind of output answer we are expecting. This is called few-shot learning.
+
+## Generative app with Vertex AI and Cloud Run
+Now as we have seen in the previous section how to use the Vertex AI Python SDK to use an LLM to generate text, in this section we will package this in a Flask-based application and deploy it on Cloud Run.
+
+The snippet creates a simple Flask app that uses a Vertex AI Text Generation Model to generate text. The code first imports the necessary libraries, including the vertexai library, the TextGenerationModel class from the vertexai.language_models library, and the Flask library.
+
+The next few lines of code initialize the Vertex AI client and set the project and location. Then, the parameters for the TextGenerationModel are defined. As explained in the previous section, these parameters control the output of the model, such as the temperature, the maximum number of output tokens, and the top-p and top-k values. Then, we create a TextGenerationModel object from the pre-trained `text-bison@001` model. 
+
+After that, we create a Flask app that defines a single route, `/predict`, which accepts `POST` requests and will be handled by the `predict()`. Inside this function we get the prompt from the request and pass it to the model to generate text and return the output as a response to the client.
+
+```python
+import vertexai
+from vertexai.language_models import TextGenerationModel
+from flask import Flask, request
+
+vertexai.init(project="PROJECT_ID", location="REGION")
+
+parameters = {
+    "temperature": 0.5,
+    "max_output_tokens": 256,
+    "top_k": 3,
+    "top_p": 0.5
+}
+model = TextGenerationModel.from_pretrained("text-bison@001")
+
+app = Flask(__name__)
+
+@app.route('/predict', methods= ['POST'])
+def predict():
+    prompt = request.data
+    response = model.predict(prompt, **parameters)
+    return response
+
+if __name__ == "__main__":
+    app.run(port=8000, host='0.0.0.0', debug=True)
+```
+
+To deploy our application to Cloud Run, we bundle it in a Docker image. Let's first declare the dependencies in a `requirements.txt` file:
+
+```
+Flask==2.3.3
+google-cloud-aiplatform==1.28.1
+```
+
+The following `Dockerfile` defines how the image is built by installing the dependencies from `requirements.txt` and running the code in `run.py` to lunch the Flask application, and exposing the right ports so that traffic is routed inside the container.
+
+```Dockerfile
+FROM python:3.9
+
+EXPOSE 8000
+ENV PORT 8000
+
+RUN groupadd -g 1000 userweb && useradd -r -u 1000 -g userweb userweb
+
+WORKDIR /home
+RUN chown userweb:userweb /home
+
+USER userweb
+
+COPY . /home
+RUN pip install -r /home/requirements.txt
+
+CMD python3 /home/run.py
+```
+
+As a security best practice, we should not run code inside a container as root. Hence in the `Dockerfile` we created a new user (and a group) called `userweb` so that the Flask application will be run as this new user. We also change the ownership of the working directory (i.e. the `/home` directory) to `userweb:userweb`.
+
+
+Next, we build a Docker image and publish it to Google Cloud Artifact Registry using [Google Cloud CLI](https://cloud.google.com/build/docs/running-builds/submit-build-via-cli-api).
+
+```shell
+export IMAGE_NAME=generative-app
+
+gcloud auth login
+gcloud config set project $PROJECT_ID
+gcloud builds submit --tag gcr.io/$PROJECT_ID/$IMAGE_NAME .
+```
+
+Once the image is publish it in Artifact Registry, we can deploy it in Cloud Run using `gcloud` CLI. The following is an example deployment where we run the container using 1 CPU and 512 Mb memory, with minimum and maximum of instances equal to 1 (to avoid many instances getting spinned and controlling cost and):
+
+```shell
+exoprt REGION=us-central1
+
+gcloud run deploy generative-app --image gcr.io/$PROJECT_ID/$IMAGE_NAME --min-instances 1 --max-instances 1 --cpu 1 --allow-unauthenticated --memory 512Mi --region $REGION --concurrency 3
+```
+
+
+## That's all folks
+GCP has powerful set of services to deploy all sort of applications. In this article, we saw how to combine Vertex AI to build a generative AI application and use Cloud Run to deploy it.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-07-30-genai-lifecycle.md b/_posts/2023-07-30-genai-lifecycle.md
new file mode 100644
index 0000000..f7e3145
--- /dev/null
+++ b/_posts/2023-07-30-genai-lifecycle.md
@@ -0,0 +1,83 @@
+---
+layout: post
+comments: true
+title: Generative AI project lifecycle
+excerpt: Learn about the phases of Generative AI projects about how to plan appropriately
+tags: [ai,genai]
+toc: true
+img_excerpt:
+---
+
+Generative AI is a powerful technology that has the potential to revolutionize many industries. However, generative AI projects are complex, time-consuming and involves many phases. We can increase the chances of success for such projects by following a well defined framework that maps out the tasks required to take a project from conception to launch.
+
+In this article, we will describe a generative AI project lifecycle to help plan out the different phases of a generative AI project, and provide a cheat sheet to help estimate the time and effort required to carry out each one.
+
+## Project lifecycle
+The below diagram highlights the different phases of the lifecycle of a Generative AI project. In the rest of this section we will go over each phase.
+
+![Generative AI project lifecycle]({{ "/assets/2023/07/2023-07-30-genai-lifecycle.svg" | absolute_url }})
+Credit [deeplearning.ai](https://www.coursera.org/learn/generative-ai-with-llms)
+
+### Scoping
+As with any project, scoping accurately and narrowly the use case, goals and objectives is the most import step. In the case of Generative AI projects, scoping is about defining the model requirements for a specific use case and budget.
+
+Getting really specific about what the model need to perform can save time and compute cost. In fact, LLMs are capable of carrying out many tasks, but their performance and runtime cose depend strongly on the size and architecture. So, we need think about what tasks the LLM will have in our specific application.
+
+An example question to ask to help scoping, is do we need the model to be able to perform very well on many different tasks (e.g. text generation, summarizatin, translation, etc.), or instead we need the model to be very good at one specific task (e.g. named entity recognition). 
+
+### Model Selection
+Once we are done with scoping the model requirements. We need to decide whether we can simply work with an existing base model or instead we need to train our own model from scratch. The best practice is to start with an existing model, and assess its performance and carry out additional training if needed for your application.
+
+Although there are some cases where it can be necessary to train a model from scratch. In this case, there are some considerations to take into account (e.g. task domain), as well as some rules of thumb to estimate the feasibility of training our own model.
+
+A good example of pre-training a model from scratch for increased domain-specificity is the [BloombergGPT](https://arxiv.org/abs/2303.17564) project, developed by [Bloomberg](https://bloomberg.com/). This model was pre-trained using an extensive financial dataset comprising news articles, reports, and market data, to increase its understanding of finance and enabling it to generate finance-related natural language text.
+
+### Model Alignment
+
+In many cases, prompt engineering (and in particular in-context learning) can be enough to get an LLM model to perform well. This is achieved by providing the model with one or few shots/examples to describe the task and expected answer, then assessing the model performance.
+
+However, there are cases where the model may perform poorly in the task at hand, and fine-tuning becomes necessary. One typical approach, is to use a supervised learning process to adapt the model. Another LLM-specific approach is Reinforcement Learning with Human Feedback (RLHF), which can help to make sure that the model behaves well and in a way that is aligned with human preferences. In both approaches, we would need to collect data that is relevant to the task. For the fine-tuning to be effective, we need to make sure data is of high quality by cleaning it, removing any errors or inconsistencies, and formatting it in a way that the model can understand.
+
+Note that this adapt and aligned stage is highly iterative and requires back and forth. We may start with prompt engineering and evaluating the outputs, then using fine tuning to improve performance and then revisiting and evaluating prompt engineering one more time to get an acceptable performance level.
+
+To determine how well a model is performing or how well aligned it is to our preferences, we can use classical NLP evaluation techniques like metrics (e.g. ROUGE and BLEU Score) and benchmarks (e.g. GLUE).
+
+### Application integration
+
+Once the model is meeting the performance expectations and is properly aligned, it becomes ready for deploylement and integration with the application. But, we should not deploy it as is just yet. Instead, we should explore ways to optimize the model for deployment to ensure that we are making the best use of our compute resources and still providing the best possible experience to all users of the application. Example model optimization techniques that proved to work well for LLMs are Distillation, Post-training quantization and pruning.
+
+It is important to note that there are some fundamental limitations of LLMs even if they performs well during their initial training. Example of such limitations inlucde how their information can become outdated, tendency to invent information when they don't know an answer (also known as hallucination), or their limited ability to carry out complex reasoning and mathematics.
+
+Those limitations can be overcome by some powerful techniques like:
+- Retrieval augmented generation (RAG) which aims to augment the model knowlege with external data sources (e.g. wikipedia for fact checking).
+- Chain-of-Thought Prompting: which can be achieved by tweaking the prompt given to the model to include few shots with reasoning instructions.
+- Program-aided Language (PAL) models which aims to integrate the LLM with third-party applications, python interpreter to execute complex reasoning logic, or SQL interpreter to execute SQL queries generate by the model.
+
+However, it is important to consider the additional infrastructure and cost that your application will require augment the model at inference.
+
+## Project estimation
+It is difficult to estimate the time and effort required for a generative AI project with any degree of accuracy as there are many factors that may come to play. Some considerations that could impact the time it takes to complete a project include:
+
+- The size and complexity of the application.
+- The availability of high quality data.
+- The level of expertise of the team working on the project.
+
+However, by breaking down the project into stages and tasks as we saw in the previous section and following the estimations below for each stage of the project lifecycle, we can get a better idea of how long the project will take and how much effort it will require.
+
+
+||Pre-training|Prompt engineering|Prompt tuning and fine-tuning|Reinforcement learning/human feedback|Compression/ optimization/ deployment|
+|-|
+|Training duration|Days to weeks to months|Not required|Minutes to hours|Minutes to hours similar to fine-tuning|Minutes to hours|
+|Customization|{::nomarkdown}Determine model architecture, size and tokenizer.<br />Choose vocabulary size and # of tokens for input/context.<br />Large amount of domain training data{:/}|{::nomarkdown}No model weights.<br />Only prompt customization{:/}|{::nomarkdown}Tune for specific tasks.<br />Add domain-specific data.<br />Update LLM model or adapter weights{:/}|Need separate reward model to align with human goals (helpful, honest, harmless).<br />Update LLM model or adapter weights{:/}|{::nomarkdown}Reduce model size through model pruning, weight quantization, distillation.<br />Smaller size, faster inference{:/}|
+|Objective|Next-token prediction|Increase task performance|Increase task performance|Increase alignment with human preferences|Increase inference performance|
+|Expertise|High|Low|Medium|Medium-High|Medium|
+
+It is important to remember that these are just estimates. The actual time and effort required for a generative AI project may vary depending on a number of factors. However, by following the guidelines above, we can get a better idea of how long a given project will take and how much effort it will require.
+
+## That's all folks
+In this article we went throught the generative AI project lifecycle to build a good intuition about the important decisions to make, the potential difficulties that could be encountered, and the infrastructure needed to develop and deploy a Genrative AI application. We also saw how we can estimate to a certain degree the time and effort required to complete a generative AI project.
+
+
+
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-08-04-meeting_minutes_gcp.md b/_posts/2023-08-04-meeting_minutes_gcp.md
new file mode 100644
index 0000000..190d964
--- /dev/null
+++ b/_posts/2023-08-04-meeting_minutes_gcp.md
@@ -0,0 +1,231 @@
+---
+layout: post
+comments: true
+title: Meeting minutes generator on GCP with Vertex AI and Cloud Run
+excerpt: Learn how to create a meeting minutes generator on GCP with Vertex AI (Chirp and PaLM) and Cloud Run
+tags: [ai,gcp,genai]
+toc: true
+img_excerpt:
+---
+
+<img align="center" src="/assets/logos/icons8-google-cloud.svg" width="120" />
+<br/>
+
+Vertex AI is a managed machine learning platform within Google Cloud Platform that helps building, deploying, and scaling machine learning models. It offers a Model Garden which is a collection of ready to use foundation ML models that can be used for different tasks. Examples of such models are Chirp which can be used for speech-related task, and PaLM which is a large language model that can be used for a variety of NLP tasks.
+
+In this article, we'll leverage the power of Vertex AI's to develop an automated meeting minutes generator. The application transcribes audio recoding of a meeting using Chirp, and then uses PaLM to provide a summary of the conversation, extracts keywords and key points, as well as action items, and also performs a sentiment analysis.
+
+
+In the first part of this article we will build helper functions to transcribe audio recoring of a meeting and generate a summary. In the second part, we will use them to build a Flask application that generates meeting minutes, package it with Docker, and then deploy it to Cloud Run.
+
+
+## Setup Vertex AI
+We need to instantiate the API clients for Chirp and PaLM. Let's create a `lib.py` file and add the necessary initialization logic for both APIs.
+
+```python
+import vertexai
+from vertexai.language_models import TextGenerationModel
+from google.api_core.client_options import ClientOptions
+from google.cloud.speech_v2 import SpeechClient
+from google.cloud.speech_v2.types import cloud_speech
+
+project_id = "PROJECT_ID"
+region = "REGION"
+
+# Instantiates a Chirp client
+chirp_api = f"{region}-speech.googleapis.com"
+chirp_client = SpeechClient(client_options=ClientOptions(api_endpoint=chirp_api))
+chirp_config = cloud_speech.RecognitionConfig(
+    auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
+    language_codes=["en-US"],
+    model="chirp",
+)
+
+# Instantiates a PaLM client
+vertexai.init(project="PROJECT_ID", location="REGION")
+palm_parameters = {
+    "temperature": 0.5,
+    "max_output_tokens": 256,
+    "top_k": 3,
+    "top_p": 0.5
+}
+palm_model = TextGenerationModel.from_pretrained("text-bison@001")
+```
+
+In the same file, we define the following helper function that wraps the PaLM API client to generate text.
+
+```python
+def generate_text(prompt):
+    completion = palm_model.predict(prompt, **palm_parameters)
+    return completion.text
+```
+
+### Transcribe an audio file using Chirp.
+Next in the `lib.py` file, we define a helper function that takes a bytes array representing the audio and calls the Chirp API to transcribe the audio to text.
+
+```python
+def transcribe_audio(audio_bytes):
+    request = cloud_speech.RecognizeRequest(
+        recognizer=f"projects/{project_id}/locations/us-central1/recognizers/_",
+        config=chirp_config,
+        content=audio_bytes,
+    )
+    response = chirp_client.recognize(request=request)
+    transcript = None
+    for result in response.results:
+        transcript = result.alternatives[0].transcript
+
+    return transcript
+```
+
+
+## Summarizing and analyzing the transcript with PaLM
+After transcribing the audio with Chrip, now we use PaLM to generate a summary, extract keywords and key points, action items, and perform sentiment analysis. We then define the following main function `meeting_minutes` that splits up the tasks in separate functions and return a result constructed from executing each task.
+
+```python
+def meeting_minutes(transcript):
+    abstract_summary = abstract_summary_extraction(transcript)
+    key_points = key_points_extraction(transcript)
+    action_items = action_item_extraction(transcript)
+    keywords = keywords_extraction(transcript)
+    sentiment = sentiment_analysis(transcript)
+    return {
+        'abstract_summary': abstract_summary,
+        'key_points': key_points,
+        'keywords': keywords,
+        'action_items': action_items,
+        'sentiment': sentiment
+    }
+```
+
+> Note: We are using distinct functions for each task we want PaLM to perform. This is not very efficient and not cost effective as we will need one API call for each task. But it should lead to higher quality summarization and also is easier to understand.
+
+In the rest of this section, we will define the individual functions for each step:
+
+### Summary extraction
+The following function calls PaLM API to summarizes the transcription into a concise abstract paragraph. It combines the transcript with a prompt that provides PaLM with detailed instructions to perform the summarization.
+
+```python
+def abstract_summary_extraction(transcript):
+    instructions = "You are a highly skilled AI trained in language comprehension and summarization. I would like you to read the following text and summarize it into a concise abstract paragraph. Aim to retain the most important points, providing a coherent and readable summary that could help a person understand the main points of the discussion without needing to read the entire text. Please avoid unnecessary details or tangential points."
+    return generate_text(f"{instructions}\n{transcript}")
+```
+
+### Key points extraction
+The following function instructs PaLM to identify and list the main ideas/points in the transcript.
+
+```python
+def key_points_extraction(transcript):
+    instructions = "You are a proficient AI with a specialty in distilling information into key points. Based on the following text, identify and list the main points that were discussed or brought up. These should be the most important ideas, findings, or topics that are crucial to the essence of the discussion. Your goal is to provide a list that someone could read to quickly understand what was talked about."
+    return generate_text(f"{instructions}\n{transcript}")
+```
+
+> Note: To dramatically improve the model ability to extract relevant information, we shoud provide it in the prompt more context related to meeting. For instance, provide information about the company and its goals like “We are a company that distribute fresh vegetables. We are trying to launch XYZ with the goal of XYZ”.
+
+### Keywords extraction
+The following function instructs PaLM to identify and list the main keywords used repetively in the transcript.
+
+```python
+def keywords_extraction(transcript):
+    instructions = "You are an AI expert in analyzing conversations and extracting keywords. You will be provided with a block of text, and your task is to extract a list of most important keywords from it. Please list the top 10 keywords and use a comma to separate the keywords in the output. "
+    return generate_text(f"{instructions}\n{transcript}")
+```
+
+### Action item extraction
+The next function instructs PaLM to identify tasks, assignments, or actions agreed upon or mentioned during the meeting.
+
+```python
+def action_item_extraction(transcript):
+    instructions = "You are an AI expert in analyzing conversations and extracting action items. Please review the text and identify any tasks, assignments, or actions that were agreed upon or mentioned as needing to be done. These could be tasks assigned to specific individuals, or general actions that the group has decided to take. Please list these action items clearly and concisely."
+    return generate_text(f"{instructions}\n{transcript}")
+```
+
+### Sentiment analysis
+Next, we define a helper function to analyze the overall sentiment of the discussion and determine if it is positive/neutral/negative. It asks PaLM to consider the tone, the emotions conveyed by the language used, and the context in which words and phrases are used.
+
+```python
+def sentiment_analysis(transcript):
+    instructions = "As an AI with expertise in language and emotion analysis, your task is to analyze the sentiment of the following text. Please consider the overall tone of the discussion, the emotion conveyed by the language used, and the context in which words and phrases are used. Indicate whether the sentiment is generally positive, neutral, or negative, and provide brief explanations for your analysis where possible."
+    return generate_text(f"{instructions}\n{transcript}")
+```
+
+## Deploying to Cloud Run
+We can now build a Flask application that accepts POST requests with a body representing audio recording and generates the meeting minutes using the helper functions from `lib.py`. We will bundle it in a Docker image so we can deploy it to Cloud Run.
+
+Let's first, define the Flask application in a `app.py` file as follows:
+
+```python
+from lib import meeting_minutes, transcribe_audio
+from flask import Flask, request
+
+app = Flask(__name__)
+
+@app.route('/generate', methods= ['POST'])
+def generate():
+    audio_bytes = request.files['file'].read()
+    transcript = transcribe_audio(audio_bytes)
+    response = meeting_minutes(transcript)
+    return response
+
+if __name__ == "__main__":
+    app.run(port=8000, host='0.0.0.0', debug=True)
+```
+
+Then declare the dependencies in a `requirements.txt` file:
+
+```
+Flask==2.3.3
+google-cloud-aiplatform==1.29.0
+google-cloud-speech=2.21.0
+```
+
+The following `Dockerfile` defines how the image is built by:
+- Installing the dependencies from `requirements.txt`
+- Copying the application files `lib.py` and `app.py`
+- Exposing the right ports so that traffic is routed inside the container.
+- Running the code in `app.py` to lunch the application
+
+```Dockerfile
+FROM python:3.9
+
+EXPOSE 8000
+ENV PORT 8000
+
+RUN groupadd -g 1000 userweb && useradd -r -u 1000 -g userweb userweb
+
+WORKDIR /home
+RUN chown userweb:userweb /home
+
+USER userweb
+
+COPY . /home
+RUN pip install -r /home/requirements.txt
+
+CMD python3 /home/app.py
+```
+
+Next, using [Google Cloud CLI](https://cloud.google.com/build/docs/running-builds/submit-build-via-cli-api), we build a Docker image and publish it to Google Cloud Artifact Registry.
+
+```shell
+export IMAGE_NAME=meeting-minutes
+
+gcloud auth login
+gcloud config set project $PROJECT_ID
+gcloud builds submit --tag gcr.io/$PROJECT_ID/$IMAGE_NAME .
+```
+
+Once the image is publish it to Artifact Registry, we can deploy it in Cloud Run. 
+
+The following is an example deployment where we run the container using 1 CPU and 512 Mb memory, with minimum and maximum of instances equal to 1 (to avoid many instances getting spinned and controlling cost and):
+
+```shell
+exoprt REGION=us-central1
+
+gcloud run deploy meeting-minutes --image gcr.io/$PROJECT_ID/$IMAGE_NAME --min-instances 1 --max-instances 1 --cpu 1 --allow-unauthenticated --memory 512Mi --region $REGION --concurrency 3
+```
+
+
+## That's all folks
+In this article we saw how easy it is to use services from Google Cloud to build innovative applications. In this case, we used two foundation models from Vertex AI: Chirp and PaLM. Then created an application to generate meeting minutes, and we deployed it to Cloud Run.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-08-07-meeting_minutes_gcp_serverless.md b/_posts/2023-08-07-meeting_minutes_gcp_serverless.md
new file mode 100644
index 0000000..159e216
--- /dev/null
+++ b/_posts/2023-08-07-meeting_minutes_gcp_serverless.md
@@ -0,0 +1,176 @@
+---
+layout: post
+comments: true
+title: Serverless Meeting minutes generator on GCP with Vertex AI and Cloud Functions
+excerpt: Learn how to create a Serverless meeting minutes generator on GCP with Vertex AI (Chirp and PaLM) Cloud Functions and PubSub
+tags: [ai,gcp,genai]
+toc: true
+img_excerpt:
+---
+
+![GCP Serverless Meeting minutes generator architecture]({{ "/assets/2023/08/20230807-serverless-meeting-minutes-architecture-gcp.svg" | absolute_url }})
+
+GCP is a powerful platform for building all sort of applications. It hosts a variety of services which are scalable, reliable, cost-effective, easy to use, and can be easily integrated together.
+
+In a previous article, we saw [how to leverage GCP's Vertex AI to develop an automated meeting minutes generator]({{ "/2023/08/04/meeting_minutes_gcp/" }}). In this article, we will re-architecture that application to make it more scalable and capable of processing audio recordings asynchronously. We will use Cloud Storage to host the recordings, and use Cloud Functions and PubSub to trigger the processing as new recordings are uploaded. For the speach to text and summary generation, we will use Chirp and PaLM from Vertex AI.
+
+## Infrastructure setup
+
+The above diagram illustrates a high level architecture for our serverless meeting minutes generator application.
+
+Audio recording files are uploaded to a Cloud Storage bucket. Every time, a new recording is uploaded an new entry is appended to PubSub queue with information about the file. This triggers a Cloud Function that will process the recoding, generate the meeting minutes and then save them to a Cloud Storage bucket.
+
+When the generation of minutes fail within the Cloud Function, the original Cloud Storage event will be forwarded to a [Dead-Letter Queue (DLQ)](https://cloud.google.com/pubsub/docs/handling-failures), and then sent back to the main queue for reprocessing.
+
+We will use Cloud Deployment Manager to provision all the needed services. Let's configure the different resources as follows:
+```yaml
+resources:
+
+# PubSub queue for notifications when audio files are uploaded
+- name: recordings-upload-topic
+  type: pubsub.v1.topic
+  properties:
+    name: recordings-upload-topic
+
+# Cloud Storage bucket where audio files will be uploaded
+- name: recordings-bucket
+  type: storage.v1.bucket
+  properties:
+    name: recordings-bucket
+    location: us-central1
+    storageClass: STANDARD
+    notificationConfig:
+      topic: recordings-upload-topic
+      eventTypes:
+        - OBJECT_FINALIZE
+```
+
+Save the content of the previous snippet into a `resources.yaml` file then use `gcloud` to provision them as follows:
+
+```shell
+gcloud deployment-manager deployments create logs-deployment --config resources.yaml
+```
+
+> Note: For more information on configuring Pub/Sub notifications to send information about changes to objects in a bucket, check the official documentation on [pubsub notifications](https://cloud.google.com/storage/docs/pubsub-notifications).
+
+## Minutes generation
+For generating the meeting minutes, we will use the same code from previous article on [how to leverage GCP's Vertex AI to develop an automated meeting minutes generator]({{ "/2023/08/04/meeting_minutes_gcp/" }}) with one small change as illustrated by the following `diff` patch:
+
+```diff
+    request = cloud_speech.RecognizeRequest(
+        recognizer=f"projects/{project_id}/locations/us-central1/recognizers/_",
+        config=chirp_config,
+-       content=audio_bytes,
++       uri=gcs_uri,
+    )
+```
+
+Instead of passing the audio in the body of the request sent to Chirp, we will pass a URI to where the audio file is stored in a Cloud Storage bucket. For examples on how to Chrip API with GS refer to this [snippet](https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/speech/snippets/transcribe_gcs_v2.py). 
+
+With this change, our `transcribe_audio` function becomes:
+
+```python
+def transcribe_audio(gcs_uri):
+    """Transcribes audio from a Google Cloud Storage URI"""
+    request = cloud_speech.RecognizeRequest(
+        recognizer=f"projects/{project_id}/locations/us-central1/recognizers/_",
+        config=chirp_config,
+        uri=gcs_uri,
+    )
+    response = chirp_client.recognize(request=request)
+    transcript = None
+    for result in response.results:
+        transcript = result.alternatives[0].transcript
+
+    return transcript
+```
+
+## Deploying to Cloud Function
+After creating the logic to generate meeting minutes from recordings, we can now expose this functionality in a Cloud Function.
+
+In a `main.py` file, add the following snippet of a [Cloud Function V2](https://codelabs.developers.google.com/codelabs/cloud-starting-cloudfunctions-v2) that accepts a [CloudEvent](https://github.com/cloudevents/sdk-python) as input. It also register the `cloudevent_handler` method with the Functions Framework so that it will be invoked with proper input.
+
+Upon receiving the event, the `cloudevent_handler` method will be called to extract the path to the audio recordings file and uses `meeting_minutes` and `transcribe_audio` to generate the meeting minutes, then upload them to Google Storage.
+
+```python
+import os
+from cloudevents.http import CloudEvent
+import functions_framework
+from lib import meeting_minutes, transcribe_audio
+
+PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")
+
+def upload_to_gcs(bucket_name, file_name, file_content):
+    client = storage.Client()
+    bucket = client.bucket(bucket_name)
+    blob = bucket.blob(file_name)
+
+def cloudevent_handler(cloud_event: CloudEvent) -> None:
+    print(f"Received event with ID: {cloud_event['id']} and data {cloud_event.data}")
+    # Get the bucket and file name from the event.
+    data = cloud_event.data["message"]["data"]
+    gs_uri = f"gs://{data["bucket"]}/{data["name"]}"
+    # Generate meeting minutes
+    transcript = transcribe_audio(gs_uri)
+    minutes = meeting_minutes(transcript)
+    # Upload 
+    upload_to_gcs(data["bucket"], data["name"] + ".txt", minutes)
+
+if __name__ == "__main__":
+  # Register the function with the Functions Framework.
+  functions_framework.cloud_event(cloudevent_handler)
+```
+
+> Note: we could also have used the `@functions_framework.cloud_event` decorator to register our handler with the Functions Framework
+
+
+In the same directory as the previous `main.py`, define a `requirements.txt` file to declare all of our dependencies:
+
+```
+cloudevents
+functions_framework=3.*
+google-cloud-aiplatform==1.29.0
+google-cloud-speech=2.21.0
+google-cloud-storage
+```
+
+Finally, we can deploy our Cloud Function using the `gcloud` CLI from the same directory containing the source code as follows
+
+```shell
+gcloud functions deploy minutes-function \
+  --gen2 \
+  --runtime python39 \
+  --entry-point cloudevent_handler \
+  --source . \
+  --region $REGION \
+  --trigger-topic $TOPIC
+```
+
+Alternatively, we could have also deployed the function to Cloud Run. All we needed to do is to define a Dockerfile to manually install the dependencies and package the source code. Then, build and deploy the container as with any typical Cloud Run application.
+
+The following `Dockerfile` is an example of how we would define the Container image. For more details refer to official example on how deploying a CloudEvent Function to Cloud Run with the Functions Framework - [link](https://github.com/GoogleCloudPlatform/functions-framework-python/tree/main/examples/cloud_run_cloud_events).
+
+
+```Dockerfile
+FROM python:3.9-slim
+
+ENV PYTHONUNBUFFERED TRUE
+
+WORKDIR /app
+COPY . .
+
+RUN pip install -r requirements.txt
+
+CMD ["functions-framework", "--target=cloudevent_handler", "--signature-type=cloudevent"]
+```
+
+> Note how on container startup we invoke the Functions Framework in a `CMD` step and specify the `cloudevent_handler` as the entry point function.
+
+## That's all folks
+In this article we saw how easy it is to use Google Cloud to build innovative and scalable applications. We used the following services from GCP:
+- Cloud Storage to store audio files and
+- PubSub to react to events such us when a new audio file is uploaded to Cloud Storage. 
+- Cloud Functions used to process meeting recording files and generating the minutes.
+- Two foundation models from Vertex AI: Chirp for speech to text and PaLM for text generation.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-08-20-gcp-run-hf.md b/_posts/2023-08-20-gcp-run-hf.md
new file mode 100644
index 0000000..a749473
--- /dev/null
+++ b/_posts/2023-08-20-gcp-run-hf.md
@@ -0,0 +1,248 @@
+---
+layout: post
+comments: true
+title: Run LLMs from Hugging Face on GCP with Cloud Run and Cloud Storage
+excerpt: How to run custom LLMs on GCP with Cloud Run and how to use Cloud Storage to host the weights downloaded from Hugging Face Hub
+tags: [ai,gcp,genai]
+toc: true
+img_excerpt:
+---
+
+![GCP LLMs architecture]({{ "/assets/2023/08/20230820-gcp-huggingface.svg" | absolute_url }})
+
+This article demonstrates how to run a custom Large Language Model on GCP with Cloud Run and use Cloud Storage as a network file system to host the weights downloaded from a model hub. By leaveraging Cloud Storage, the weights will be downloaded once so we can scale the number of Cloud Run containers up or down faster as new instances will not have to pay extra time for downloading model weights again and again. 
+
+We will see how to mount a Cloud Storage bucket onto our Cloud Run container using the open source [FUSE](http://fuse.sourceforge.net/) adapter to share data between multiple containers and services.
+
+> Note that in this article we will use the [FUSE](https://cloud.google.com/run/docs/tutorials/network-filesystems-fuse) adapter to provide a peristed filesystem to our container, but alternatively we can also use [Firestore](https://cloud.google.com/filestore/docs/mounting-fileshares).
+
+## Design Overview
+The above diagram illustrates the overall architecture of the solution which we further explain here:
+- The developer pushes the container image to Artifect Registery and then deploys it on Cloud Run.
+- The Cloud Run container mounts a folder locally and maps it to the Cloud Storage bucket via the gcsfuse FUSE adapter.
+- The Cloud Run container downloads the model weights from Hugging Face Hub and stores them on Cloud Storage
+- In case the container crashes and gets restarted by the Cloud Run service, it will find the model weights already available
+
+> Note that for best performance and removing networking cost, it is best to have the Cloud Run service and Cloud Storage bucket located within same region.
+
+## Cloud Storage
+We need to setup a Cloud Storage bucket, let's first define some environment variables
+```shell
+export PROJECT_ID=
+export REGION=
+export BUCKET_NAME=
+```
+
+Create a Cloud Storage bucket or reuse an existing bucket:
+```shell
+gsutil mb -l $REGION gs://$BUCKET_NAME
+```
+
+Create a service account to serve as the service identity:
+```shell
+gcloud iam service-accounts create fs-identity
+```
+
+Grant the service account access to the Cloud Storage bucket:
+```shell
+gcloud projects add-iam-policy-binding $PROJECT_ID \
+     --member "serviceAccount:fs-identity@$PROJECT_ID.iam.gserviceaccount.com" \
+     --role "roles/storage.objectAdmin"
+```
+
+## Dockerfile
+The following Dockerfile defines the environment configuration for our service. First, using the `RUN` instruction it will install [tini](https://github.com/krallin/tini) as the init-process and gcsfuse, the FUSE adapter. Then, creates a working directory, copy source code, and install python dependencies in `requirements.txt`.
+
+The `ENTRYPOINT` launches the tini init-process binary to proxy all received signals to the children processes. The `CMD` instruction will execute the startup script that will actually launches the python application.
+
+```Dockerfile
+# Use the official lightweight Python image.
+# https://hub.docker.com/_/python
+FROM python:3.11-buster
+
+# Install system dependencies
+RUN set -e; \
+    apt-get update -y && apt-get install -y \
+    tini \
+    lsb-release; \
+    gcsFuseRepo=gcsfuse-`lsb_release -c -s`; \
+    echo "deb http://packages.cloud.google.com/apt $gcsFuseRepo main" | \
+    tee /etc/apt/sources.list.d/gcsfuse.list; \
+    curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
+    apt-key add -; \
+    apt-get update; \
+    apt-get install -y gcsfuse \
+    && apt-get clean
+
+# Set fallback mount directory
+ENV MNT_DIR /mnt/gcs
+
+# Copy local code to the container image.
+ENV APP_HOME /app
+WORKDIR $APP_HOME
+COPY . ./
+
+# Install production dependencies.
+RUN pip install -r requirements.txt
+
+# Ensure the script is executable
+RUN chmod +x /app/entrypoint.sh
+
+# Use tini to manage zombie processes and signal forwarding
+ENTRYPOINT ["/usr/bin/tini", "--"] 
+
+# Pass the startup script as arguments to Tini
+CMD ["$APP_HOME/entrypoint.sh"]
+```
+
+## Startup script
+In the startup script, we mount point directory, where the Cloud Storage bucket will be made accessible. Then, using the gcsfuse command, we attach the Cloud Storage bucket to the mount point we just created. Once the bucket is attached, we start the python script that will download the LLM weights from the model hub. This script will avoid downloading again in case the model weights were previously downloaded. Lastly, we start the application server that will receive actual HTTP traffic and handle it.
+
+```shell
+#!/usr/bin/env bash
+set -eo pipefail
+
+# Create mount directory for service
+mkdir -p $MNT_DIR
+
+echo "Mounting GCS Fuse."
+gcsfuse --debug_gcs --debug_fuse $BUCKET $MNT_DIR 
+echo "Mounting completed."
+
+# Create directory for Hugging Face 
+mkdir -p $MNT_DIR/hf
+
+# Export needed environment variables
+export HF_HOME=$MNT_DIR/hf
+export HF_HUB_ENABLE_HF_TRANSFER=1
+export SAFETENSORS_FAST_GPU=1
+export BITSANDBYTES_NOWELCOME=1
+export PIP_DISABLE_PIP_VERSION_CHECK=1
+export PIP_NO_CACHE_DIR=1
+
+# Download model weights
+echo "Downloading from Hugging Face Hub."
+$APP_HOME/download.sh
+echo "Downloading completed."
+
+# Run the web service
+python3 $APP_HOME/main.py
+```
+
+> Note: The `gcsfuse` command has built-in retry functionality; therefore no special handling is not required.
+
+## LLM application
+The section details the different files needed by our LLM application.
+
+### Declaring dependencies
+First declare the dependencies to install pytorch and other librries needed to run download the LLM weights and run inference. Let's create a `requirements.txt` file in the same directory as the previous shell script `entrypoint.sh`, with following content:
+
+```
+pytorch-cuda=11.7
+google-cloud-storage
+transformers~=4.28.1
+safetensors~=0.3.0
+accelerate~=0.18.0
+bitsandbytes~=0.38.1
+sentencepiece~=0.1.98
+hf-transfer~=0.1.3
+msgspec~=0.14.2
+```
+
+### Downloading weights
+Then, we create a `download.sh` Python script to download the model weights from Hugging Face Hub using `snapshot_download` function, save them locally at the mount point `MNT_DIR`.
+
+The model we are downloading is `google/flan-t5-base` which is a Causal Language Model that we will use in our application to generate text. But any other models can be used as well.
+
+```python
+#!/usr/bin/env python3
+import os
+from huggingface_hub import snapshot_download
+
+model_path = snapshot_download(
+    "google/flan-t5-base",
+    ignore_patterns=["*.md"],
+    destination=os.environ['MNT_DIR'],
+    )
+```
+
+### Loading LLM
+Next, in a `model.py` python file, we define a helper class to load the model from local filesystem (by providing the `local_files_only` flag). This class will also expose a function to use it for inference (in our case text generation).
+
+```python
+import torch
+from transformers import AutoTokenizer, TextIteratorStreamer, pipeline
+
+class TextGenerationLLM:
+    def __init__(self, model_url: str = "google/flan-t5-base"):
+        # make sure we don't connect to HF Hub
+        os.environ["HF_HUB_OFFLINE"] = "1"
+        os.environ["TRANSFORMERS_OFFLINE"] = "1"
+        # setup text generation pipeline
+        tokenizer = AutoTokenizer.from_pretrained(model_url, local_files_only=True)
+        self.generator = pipeline(
+            "text-generation",
+            model=model_url,
+            tokenizer=tokenizer,
+            torch_dtype=torch.float16,
+            device_map="auto",
+            model_kwargs={"local_files_only": True},
+        )
+        self.generator.model = torch.compile(self.generator.model)
+
+    def generate(self, prompt: str) -> str:
+        results = generator(prompt, max_length=1000, do_sample=True)
+        return results[0]["generated_text"]
+```
+
+### Starting app
+The last file we need to define, is the `main.py` python file which creates a Flask application and uses `TextGenerationLLM` to load the model previous saved at the mounting point `MNT_DIR`. The application, receives HTTP requests at the `/predict` endpoint and passes the body to the LLM for text generation.
+
+```python
+import os
+from model import TextGenerationLLM
+from flask import Flask, request
+
+llm = TextGenerationLLM(os.environ['MNT_DIR'])
+
+@app.route('/predict', methods= ['POST'])
+def predict():
+    prompt = request.data
+    response = llm.predict(prompt)
+    return response
+
+if __name__ == "__main__":
+    app.run(port=8000, host='0.0.0.0', debug=True)
+```
+
+> Note: in a production setting we would need to do some checks and validations on the user input before passing it to our LLM.
+
+## Cloud Run
+Finally, we can deploy the container image to Cloud Run using `gcloud`:
+
+- We are not building the image but relying on Cloud Run instead as we deploy the current directory as the source code.
+- We are using Cloud Run service Gen 2 by setting the `--execution-environment` flag
+- For testing, we allow unauthenticated access to the service via `--allow-unauthenticated`
+- We use same service account used when creating Cloud Storage bucket in `--service-account`
+- We pass the name of the bucket via `--update-env-vars` flag as an environment variable 
+
+```shell
+gcloud run deploy llm-run --source . \
+    --execution-environment gen2 \
+    --allow-unauthenticated \
+    --service-account fs-identity \
+    --update-env-vars BUCKET=$BUCKET_NAME
+```
+
+> Note: To mount a file system, we need to use the Cloud Run [2nd generation execution environment](https://cloud.google.com/run/docs/about-execution-environments).
+
+
+After deployment finishes and the service becomes available, we can test it with the following `curl`
+```shell
+curl -X POST -H "Content-Type: text/plain" -d "Tell me a joke" https://my-service-abcdef-uc.a.run.app
+```
+
+## That's all folks
+In this article we saw how easy it is to use Google Cloud Run to package LLM applications, and leaverage Cloud Storage to store the weights once and for all.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-09-01-palm-recommendation.md b/_posts/2023-09-01-palm-recommendation.md
new file mode 100644
index 0000000..389bcef
--- /dev/null
+++ b/_posts/2023-09-01-palm-recommendation.md
@@ -0,0 +1,221 @@
+---
+layout: post
+comments: true
+title: Building an Article Recommender App in Java with llm4j, PaLM and Elasticsearch
+excerpt: How to Build a News article recommendation App in Java with llm4j, PaLM and Elasticsearch
+tags: [genai,palm,elasticsearch]
+toc: true
+img_excerpt:
+---
+
+![Article Recommender architecture]({{ "/assets/2023/09/20230901-palm-recommendation.svg" | absolute_url }})
+
+In this tutorial we will see how to build a News Article Recommender app that uses PaLM (a powerful LLM from Google) for calculating text embeddings and Elasticsearch to compare between articles and find similar ones based on their embeddings. Such application is particularly useful to keep users of a newspaper (or any content platform) engaged as it recommends articles related to their reading topics.
+
+The source code of this application can be found here - [news-article-recommender](https://github.com/llmjava/llm4j-examples/tree/main/news-article-recommender).
+
+## Design Overview
+The above diagram illustrates the overall architecture of the news article recommender which we further explain here:
+- The dataset of news articles is parsed from CSV.
+- Using Google PaLM embed API, we calculate the embeddings for the text of each article.
+- Using Google PaLM text generation API and a specific prompt template we extract the tags from each article.
+- We merge the embeddings and tags into the article object and upload it to Elasticsearch
+- When user selects an article, we calculate its embeddings and perfom a [KNN search](https://www.elastic.co/guide/en/elasticsearch/reference/current/knn-search.html) on Elasticsearch to find similar articles.
+- The search result from  article Elasticsearch are provided as recommendations. 
+
+The rest of this article walks through the implementation in details. 
+
+## Setup Google PaLM using llm4j
+First we create a [LanguageModel](https://llmjava.github.io/llm4j/javadoc/org/llm4j/api/LanguageModel.html) object using the [LLM4J](https://llmjava.github.io/llm4j) library. We will use this object later for text generation and embedding using Google PaLM's API.
+
+```java
+Map<String, String> configMap = new HashMap<String, String>();
+configMap.put("palm.apiKey", "${env:PALM_API_KEY}");
+
+Configuration config = new MapConfiguration(configMap);
+LanguageModel palm = LLM4J.getLanguageModel(config, new PaLMLanguageModel.Builder());
+```
+
+> Note to connect to Google PaLM with LLM4J you need to set the environment variable `PALM_API_KEY` with the PaLM API Key that you can get from https://makersuite.google.com/app/apikey.
+
+
+## Setup Elasticsearch
+Next, we need to setup a connection to Elasticsearch which we will use as our Vector DB and the create an index to store (and later search) our news articles.
+
+The following code snippet creates an [Elasticsearch client](https://www.elastic.co/guide/en/elasticsearch/client/java-api-client/current/getting-started-java.html) that can be used to interact with an Elasticsearch cluster. It takes the url of an Elasticsearch instance, as well as an API Key which can be generated from the Kibana dashboard, by default at http://localhost:5601/app/management/security/api_keys/.
+```java
+RestClient restClient = RestClient
+    .builder(HttpHost.create(serverUrl))
+    .setDefaultHeaders(new Header[]{new BasicHeader("Authorization", "ApiKey " + apiKey)})
+    .build();
+
+// Create the transport with a Jackson mapper
+ElasticsearchTransport transport = new RestClientTransport(restClient, new JacksonJsonpMapper());
+
+// And create the API client
+ElasticsearchClient esClient = new ElasticsearchClient(transport);
+```
+
+Next, we use the previously initialized `ElasticsearchClient` to create an index for storing the news articles as follows.
+
+```java
+InputStream is = getClass().getClassLoader().getResourceAsStream(mappingsFile);
+CreateIndexRequest request = new CreateIndexRequest.Builder()
+    .index(indexName)
+    .withJson(is)
+    .build();
+esClient.indices().create(request);
+```
+
+
+The following json snippet represents the mappings for our article index. It defines the different fields of an article:
+
+- **title**: A text field to store the original title of an article.
+- **text**: A text field to store the  original body of the article.
+- **tags**: A keyword field to store the tags extracted from the article using PaLM.
+- **embeddings**: A dense vector field to store vector embeddings of size `768` that we will generate using PaLM's embed API from the article content. It also defines `cosine` as the similarity algorithm to use when searching for similar embeddings.
+
+```json
+{
+  "mappings": {
+    "properties": {
+      "title": { "type": "text" },
+      "text": { "type": "text" },
+      "tags": { "type":  "keyword" },
+      "embeddings": { "type": "dense_vector", "dims": 768, "index": true, "similarity": "cosine"}
+    }
+  }
+}
+```
+
+> Cosine similarity is a metric that measures how similar two embeddings are.
+
+## Loading articles
+Our article dataset we will be using is a subset of 100 articles from the [BBC news article dataset](http://mlg.ucd.ie/datasets/bbc.html), which consists of articles from categories like business, politics, tech, entertainment, and sports.
+
+
+We’ll need to load the articles from the CSV file `bbc_news_test.csv` and create for each row an `Article` object with title and content. For this we will use the convinent [pache Commons CSV](https://commons.apache.org/proper/commons-csv/) library as follows:
+
+```java
+CSVFormat csvFormat = CSVFormat.DEFAULT
+    .withFirstRecordAsHeader()
+    .withIgnoreHeaderCase()
+    .withDelimiter(',')
+    .withQuote('"')
+    .withIgnoreEmptyLines();
+
+ClassLoader classloader = getClass().getClassLoader();
+Path path = Paths.get(classloader.getResource(fileName).toURI());
+CSVParser csvParser = CSVParser.parse(path, StandardCharsets.UTF_8, csvFormat);
+
+List<Article> articles = new ArrayList<>();
+for(CSVRecord csvRecord : csvParser) {
+    String title = csvRecord.get("title");
+    String news = csvRecord.get("news");
+    Article article = new Article(title, news, Collections.emptyList());
+    articles.add(article);
+}
+
+csvParser.close();
+```
+
+After pre-processing the articles we can upload the articles one by one or in bulks to Elasticsearch as follows:
+```java
+for(Article article: dataset) {
+    IndexResponse response = esClient.index(i -> i
+        .index("news")
+        .id(article.getId())
+        .document(article)
+}
+```
+
+
+## Articles pre-processing
+Before uploading the articles to Elasticsearch we do some pre-processing on the text of each news article to generate embeddings and extract tags using Google PaLM.
+
+This will enrich the recommended articles with more information to help users scan the list for key information and discover content.
+
+### Embeddings generation
+Next, we’ll generate the embeddings vector for each article's using Google's PaLM Embed API like this: 
+
+```java
+String text = article.getText();
+// if text too long take a subset from the right
+if(text.length()>1000) {
+    text = text.substring(text.length()-1000);
+}
+List<Float> embeddings = palm.embed(text);
+```
+
+Note that we are truncating the text by taking at most 1000 characters from the right for long articles. We need to do this as the `palm.embed` call may fail if the text is very long, which is the case for most of the news articles in this dataset. In such case PaLM will throw the following error.
+
+```java
+io.grpc.StatusRuntimeException: INVALID_ARGUMENT: Request payload size exceeds the limit: 10000 bytes
+```
+
+### Tags Extraction
+We can easily build tags extractor using the Google's PaLM text generation endpoint with simple prompt engineering. Our prompt will contians few examples of text and the corresponding tags, then ask PaLM to provide a completion that contains the tags for the input text.
+
+The following prompt template is passed to Google PaLM to extract tags for a given news article:
+```
+String prompt = "Given a news article, this program returns the list tags containing keywords of that article." + "\n"
+                + "Article: japanese banking battle at an end japan s sumitomo mitsui financial has withdrawn its takeover offer for rival bank ufj holdings  enabling the latter to merge with mitsubishi tokyo.  sumitomo bosses told counterparts at ufj of its decision on friday  clearing the way for it to conclude a 3 trillion" + "\n"
+                + "Tags: sumitomo mitsui financial, ufj holdings, mitsubishi tokyo, japanese banking" + "\n"
+                + "--" + "\n"
+                + "Article: france starts digital terrestrial france has become the last big european country to launch a digital terrestrial tv (dtt) service.  initially  more than a third of the population will be able to receive 14 free-to-air channels. despite the long wait for a french dtt roll-out" + "\n"
+                + "Tags: france, digital terrestrial" + "\n"
+                + "--" + "\n"
+                + "Article: apple laptop is  greatest gadget  the apple powerbook 100 has been chosen as the greatest gadget of all time  by us magazine mobile pc.  the 1991 laptop was chosen because it was one of the first  lightweight  portable computers and helped define the layout of all future notebook pcs." + "\n"
+                + "Tags: apple, apple powerbook 100, laptop" + "\n"
+                + "--" + "\n"
+                + "Article: " + article.text + "" + "\n"
+                + "Tags:";
+String rawTags = palm.process(prompt);
+```
+
+Google PaLM does a pretty good job with the extraction in most case. For instance, for the article titled `Desailly backs Blues revenge trip` it was able to infer what the news article talk about extract tags such as `chelsea, barcelona`.
+
+### Categories classification
+To improve the recommendation of articles we can further filter them by category before presenting them to the user. In fact, it is very possible that two articles could have close embeddings but are of different categories, e.g. a sport article covering a statement of coach vs one by a political leader. Thus we need to build a news category classifier that will only select articles from the same category.
+
+With In Context Learning we can teach PaLM to classify articles into one of five categories: Business, Politics, Tech, Entertainment, and Sports.
+
+Our prompt for PaLM text generation will include [example classifications](https://developers.generativeai.google/prompts/classify-a-request) and then add the article we want PaLM to classify to the end of the prompt like this
+```
+statement: Gazprom had been expected to win the December auction, but ended up not bidding.
+classification: Business
+statement: Tory leader Michael Howard said the chancellor was up to his old trick of deliberately re-casting his forecasts to give the illusion that everything in the Treasury larder is as fresh as the day it was first stored away for future use.
+classification: Politics
+statement: Skype lets people make free calls to other Skype users and also make low-cost calls to ordinary phone numbers.
+classification: Tech
+statement: Michelle Paver's Wolf Brother, a fantasy set 6,000 years ago, is the first in a planned series of six books.
+classification: Entertainment
+statement: {article}
+classification:
+```
+
+## Recommendaing Articles
+Finally we are ready to start recommendaing articles by simply find the most similar ones.
+
+We sample one article from the news dataset, get its [embeddings](https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html) and then ask Elasticsearch with [KNN query](https://www.elastic.co/guide/en/elasticsearch/reference/current/knn-search.html) for similar articles which have the closest embeddings.
+
+In Java, this Elasticsearch-based recommendation query looks like this
+```java
+SearchRequest request = new SearchRequest.Builder()
+    .index(indexName)
+    .knn(builder -> builder
+        .k(3)
+        .numCandidates(10)
+        .field("embeddings")
+        .queryVector(embeddings)
+    )
+    .fields(new FieldAndFormat.Builder().field("title").build())
+    .build();
+SearchResponse<Article> response = esClient.search(request, Article.class);
+```
+
+
+## That's all folks
+In this article we saw how easy it is to interact with LLMs like PaLM in Java using the [LLM4J](https://llmjava.github.io/llm4j) library. And how to combine the capabilities of PaLM and Elasticsearch to build an embeddings-based article recommendation solution.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-09-22-palm-synthetic-data.md b/_posts/2023-09-22-palm-synthetic-data.md
new file mode 100644
index 0000000..6a4f0ea
--- /dev/null
+++ b/_posts/2023-09-22-palm-synthetic-data.md
@@ -0,0 +1,235 @@
+---
+layout: post
+comments: true
+title: Generating Synthetic Data for NLP tasks in Java with llm4j and PaLM
+excerpt: How to Build a Java-based Synthetic Data generator for your NLP task with llm4j and PaLM
+tags: [genai,palm]
+toc: true
+img_excerpt:
+---
+
+![Synthetic data generation with PaLM]({{ "/assets/2023/09/20230922-palm-synthetic-data.svg" | absolute_url }})
+
+Creating datasets for training Natural Language Processing (NLP) models is a complex and resource-intensive task. This is because the quality and diversification of the data have direct impact on the performance of the model. It gets even harder when bigger models as they will require a large amount of data for training.
+
+One way to effectively manage the data collection at scale is to create a small (e.g. few hundrend examples) curated dataset of high-quality, then extend it using **Data Augmentation** techniques. An example of such techniques is to generate **Synthetic Data** to simulate cases or conditions not represented in the original dataset. Using Synthetic Data in this case is effective because it can be easily automated with Large Language Models (LLMs).
+
+In the rest of this article, we will explore how to use Google PaLM with the [llm4j](https://github.com/llmjava/llm4j) library to generate a Wikipedia-based multi-question answering dataset that can be used to train an NLP model.
+
+> Note: While using Synthetic Data offers several benefits, the quality and fidelity of the generated data should be carefully evaluated before use in real-world applications.
+
+
+## Design Overview
+The dataset will be formed using PaLM based on pages from Wikipedia. The task of the model is to generate multiple-choice questions from a chunk of text. The expected output is a well formatted multiple-choice question with options and a correct answer.
+
+The above diagram illustrates the different steps for generating Synthetic data which we further explain here:
+- Submit a search query on some subject, e.g. fruits.
+- Select a page from Wikipedia that matches the query.
+- Extract the text from the page and create small chunks
+- Pass a prompt to the model with the needed instructions.
+- Check if the model's output format is valid, then parse it.
+
+The source code of this application can be found here - [palm-examples](https://github.com/llmjava/llm4j-examples/tree/main/palm-examples).
+
+The rest of this article walks through the implementation in details.
+
+## Querying Wikipedia
+First, we query Wikipedia to get the text we will create questions from using the [wikipedia4j](https://github.com/llmjava/wikipedia4j) library as follows:
+
+```java
+Wikipedia wiki = new Wikipedia();
+List<Document> results = wiki.search("apple");
+String wikiText = results.get(0).getText();
+```
+
+The structure of the text in `wikiText` follows Wikipedia page syntax and will look like this:
+```
+= Header 1 =
+Some text.
+
+== Header 2 ==
+More text.
+
+=== Header 3.1 ===
+Even more text.
+
+=== Header 3.2 ===
+Even more more text.
+
+== Header 2 ==
+More more text.
+```
+
+In the above example, `= Header 1 =` is a top level header and `== Header 2 ==` is a second level header and so on. We can easily see a pattern for the headers of one or more equal signs, followed by any text, followed by the same number of equal signs.
+
+We cannot pass such text as is to the LLM model because this particular structure can confuse it and also because the text can be very large. We need to do some pre-processing to clean up this text and extract the sections and their headers.
+
+The following code snippet, uses a regular expression to match the headers, then it extracts the section text that follows a match.
+
+```java
+// Define a regex pattern to capture the text between the equal signs as a group
+Pattern pattern = Pattern.compile("(=+)(.+?)\\1");
+
+// Create a Matcher object that matches the pattern against the wikiText
+Matcher matcher = pattern.matcher(wikiText);
+
+// Initialize a variable to store the previous match end index
+int prevEnd = 0;
+
+Section previous = null;
+
+// Loop through the matches and print the section level, title and text
+while (matcher.find()) {
+    // Get the number of equal signs in the match
+    int level = matcher.group(1).length();
+
+    // Get the text between the equal signs
+    String title = matcher.group(2).trim();
+
+    // Get the start and end indices of the match in the wikiText
+    int start = matcher.start();
+    int end = matcher.end();
+
+    // Get the text between the previous match end and the current match start
+    String text = wikiText.substring(prevEnd, start).trim();
+    // Print the section level, title and text
+    System.out.println(level + ". " + title + ": " + text);
+    
+    // Update the previous match end index
+    prevEnd = end;
+    previous = current;
+}
+```
+
+> Note: Because we are limited in the number of tokens we can pass to PaLM for text generation, we need to further split the larger sections into smaller chunks, otherwise the model will return nothing.
+
+
+## Google PaLM with llm4j
+Next, we need to configure the access to Google PaLM for the [LLM4J](https://llmjava.github.io/llm4j) library. So, get a PaLM's API key from [Makersuite](https://makersuite.google.com/app/apikey) and then set the environment variable `PALM_API_KEY` with the value of the key.
+
+Now, we can access PaLM for text generation in our Java application by creating a [LanguageModel](https://llmjava.github.io/llm4j/javadoc/org/llm4j/api/LanguageModel.html) instance as follows.
+
+```java
+Map<String, String> configMap = new HashMap<String, String>();
+configMap.put("palm.apiKey", "${env:PALM_API_KEY}");
+configMap.put("palm.modelId", "models/text-bison-001");
+configMap.put("topK", "40");
+configMap.put("topP", "0.95");
+configMap.put("temperature", "0.7");
+configMap.put("maxNewTokens", "1024");
+configMap.put("maxOutputTokens", "1024");
+configMap.put("candidateCount", "1");
+
+Configuration config = new MapConfiguration(configMap);
+LanguageModel palm = LLM4J.getLanguageModel(config, new PaLMLanguageModel.Builder());
+```
+
+After creating an `LanguageModel` instance, we can simply ask to the generate text by passing a prompt as follows.
+
+```java
+String prompt = "Hi there";
+String completion = palm.process(prompt);
+```
+
+To get accurate results tailored to our task, we need to provide a comprehensive and detailed prompt to the LLM, so it understand the task properly and fulfill the requirements. Few things to consider when creating our prompt:
+
+- The prompt should be precise and clearly convey the essence of the task.
+- The prompt should include any relevant context or constraints that should be considered during the text generation process. For instance, the desired style, tone, or level of complexity for the questions and answers.
+- The prompt should provide any necessary instructions regarding the desired output. For instance, the number of multiple-choice questions to generate, the number of choices, etc.
+- The prompt should specify the expected output format of the model, to make parsing easier.
+
+In the following section, we will explore the output of PaLM when we provide a prompt that takes into account those considerations.
+
+## Generating Synthetic Data with PaLM
+Once we have prepared the text we want to use as context for generating our dataset examples, the next step is to create a proper prompt for the LLM. The following is an example prompt that asks the LLM to generate a multiple-choices question of 3 choices and to also provide the answer. It provides a clear explanation of the task and also provides one shot example. 
+
+```
+You will be provided with TEXT from wikipedia. Output a list of multiple choice questions with 3 choices and answers from the TEXT.
+You should tell me which one of your proposed options is right by assigning the corresponding option's key label in the 'answer' field.
+
+The question, the answer and question answer options should be broad, challenging, long, detailed and based on the TEXT provided.
+
+Only output the list of objects, with nothing else.
+
+{delimiter}
+TEXT: The ultraviolet catastrophe, also called the Rayleigh–Jeans catastrophe, was the prediction of late 19th century/early 20th century classical physics that an ideal black body at thermal equilibrium would emit an unbounded quantity of energy as wavelength decreased into the ultraviolet range.[1]: 6–7  The term "ultraviolet catastrophe" was first used in 1911 by Paul Ehrenfest,[2] but the concept originated with the 1900 statistical derivation of the Rayleigh–Jeans law. The "ultraviolet catastrophe" is the expression of the fact that the formula misbehaves at higher frequencies.
+question: What is the 'ultraviolet catastrophe'?
+option_1: It is a phenomenon that occurs only in multi-mode vibration.
+option_2: It is the misbehavior of a formula for higher frequencies.
+option_3: It is a flaw in classical physics that results in the misallocation of energy.
+answer: option_2
+
+{delimiter}
+TEXT: {TEXT}
+```
+
+> Note: `{delimiter}` and `{TEXT}` are placeholders for the delimiter token and the wikipedia text respectively.
+
+
+After saving the previous template in the `dataset_questions.template` file, we can pass the prompt to PaLM after setting the values to the placeholders `{delimiter}` and `{TEXT}`:
+
+```java
+String prompt = new PromptTemplate()
+    .withFile("dataset_questions.template")
+    .withParam("delimiter", "####")
+    .withParam("TEXT", text)
+    .render();
+output = palm.process(prompt);
+```
+
+This is an example of output generated by PaLM:
+
+```
+question: What is the name of Odin's sword?
+option_1: Gungnir
+option_2: Tyrfing
+option_3: Gram
+answer: option_1
+```
+
+It is clear that the model is capable of carrying the task as it was able to generate a multiple-choise question with the expected format. However, the output is not easy to parse. We can do a better job by teaching the model to generate a valid one line JSON response with the following prompt:
+
+```
+You will be provided with TEXT from wikipedia. Output a list of multiple choice questions with 3 choices and answers from the TEXT. Format your output in a one line JSON object.
+You should tell me which one of your proposed options is right by assigning the corresponding option's key label in the 'answer' field.
+
+The question, the answer and question answer options should be broad, challenging, long, detailed and based on the TEXT provided.
+
+Only output the list of objects, with nothing else.
+
+{delimiter}
+TEXT: The ultraviolet catastrophe, also called the Rayleigh–Jeans catastrophe, was the prediction of late 19th century/early 20th century classical physics that an ideal black body at thermal equilibrium would emit an unbounded quantity of energy as wavelength decreased into the ultraviolet range.[1]: 6–7  The term "ultraviolet catastrophe" was first used in 1911 by Paul Ehrenfest,[2] but the concept originated with the 1900 statistical derivation of the Rayleigh–Jeans law. The "ultraviolet catastrophe" is the expression of the fact that the formula misbehaves at higher frequencies.
+{"question": "What is the 'ultraviolet catastrophe'?", "A": "It is a phenomenon that occurs only in multi-mode vibration.", "B": "It is the misbehavior of a formula for higher frequencies.", "C": "It is a flaw in classical physics that results in the misallocation of energy.", "answer": "B"}
+
+{delimiter}
+TEXT: {TEXT}
+```
+
+Given a section from [Ibn Battuta's wikipedia page](https://en.wikipedia.org/wiki/Ibn_Battuta), the model will generate the following valid JSON object:
+```
+{"question": "Where did Ibn Battuta travel to after his visit to the Chagatai Khanate?", "A": "Bolghar", "B": "Constantinople", "C": "Afghanistan", "answer": "B"}
+```
+
+
+To validate that the model is using the given text and not making up the responses, here is an excerpt from Ibn Battuta's wikipedia page:
+```
+Historicity, German Islamic studies scholar Ralph Elger views Battuta's travel account as an important literary work but doubts the historicity of much of its content, which he suspects to be a work of fiction compiled and inspired from other contemporary travel reports. Various other scholars have raised similar doubts.In 1987, Ross E. Dunn similarly expressed doubts that any evidence would be found to support the narrative of the Rihla, but in 2010, Tim Mackintosh-Smith completed a multi-volume field study in dozens of the locales mentioned in the Rihla, in which he reports on previously unknown manuscripts of Islamic law kept in the archives of Al-Azhar University in Cairo that were copied by Ibn Battuta in Damascus in 1326, corroborating the date in the Rihla of his sojourn in Syria.
+```
+
+For the above input text, PaLM does a good job and generates the following multiple-choise question:
+
+```
+{"question": "What is the stance on Ibn Battuta's Rihla?", "A": "It is a work of fiction compiled from other accounts.", "B": "It is a work of fiction but with some historical details.", "C": "It is a work of history with some fictional details.", "answer": "A"}
+```
+
+After the few experiments we did earlier and the promising output of PaLM, we can confidently proceed generate a lot of questions and construct a larger dataset. But we may also try to improve the quality of the output by trying the following ideas:
+- Better selection of excerpts from wikiepdia pages.
+- Filter out simple and duplicate questions.
+- Check the length of the requested prompt tokens and reduce it if needed.
+- Improving the algorithm for randomization to delve deeper into subcategories.
+- Try another LLM for multiple choice question text completion, e.g. Open AI ChatGPT.
+
+## That's all folks
+In this article we saw how easy it is to use the [LLM4J](https://llmjava.github.io/llm4j) library to interact with PaLM and build a Synsthetic Dataset Generator. We saw how to programatically query articles from Wikipedia using the [wikipedia4j](https://github.com/llmjava/wikipedia4j) library. We also saw how powerful PaLM is as it was able to follow the instructions given in our prompt and generate muliple-choices questions from an input text in the expected format.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-09-27-scala3-zio-restful.md b/_posts/2023-09-27-scala3-zio-restful.md
new file mode 100644
index 0000000..13e768d
--- /dev/null
+++ b/_posts/2023-09-27-scala3-zio-restful.md
@@ -0,0 +1,214 @@
+---
+layout: post
+comments: true
+title: RESTful web services in Scala 3 using ZIO
+excerpt: How to create RESTful web services in Scala 3 with ZIO
+tags: [scala,zio]
+toc: true
+img_excerpt:
+---
+
+<img align="center" src="/assets/logos/zio.png" width="480" />
+<br/>
+
+
+In ZIO, an HTTP service is defined by extending the `zio.http.Http` trait:
+
+```scala
+trait Http[-R, +E, -A, +B] extends (A => ZIO[R, Option[E], B])
+```
+
+A `Http[R, E, A, B]` is a function that takes an `A` and returns a `ZIO[R, Option[E], B]`. More specifically, it:
+
+- Uses the `R` from the environment
+- Will fail with `E` if there is an error
+- Accepts an `A` and returns `B`
+
+In the rest of this article, we will see how to create different types of HTTP service with the following ZIO libraries:
+
+- [ZIO HTTP](https://zio.dev/zio-http/) for creating HTTP servers
+- [ZIO JSON](https://zio.dev/zio-json/) for JSON serialization
+
+Let's first define the dependencies in `build.sbt`:
+```scala
+scalaVersion := "3.3.1"
+
+libraryDependencies ++= Seq(
+  "dev.zio" %% "zio" % "2.0.18",
+  "dev.zio" %% "zio-json" % "0.6.2",
+  "dev.zio" %% "zio-http" % "3.0.0-RC2"
+)
+```
+
+And also define our application main entrypoint.
+```scala
+object MainApp extends ZIOAppDefault:
+  def run: ZIO[Environment with ZIOAppArgs with Scope, Throwable, Any] =
+    val httpServices = StatelessService() ++ FileService() ++ StatefulService()
+    Server
+      .serve(httpServices.withDefaultErrorResponse)
+      .provide(Server.defaultWithPort(8080), InmemoryItemRepo.layer)
+```
+
+In the following sections we will define the different services used earlier: `StatelessService`, `FileService`, `StatefulService`.
+
+## Stateless service
+This is a simple HTTP service that extends `Http[Any, Nothing, Request, Response]`, it doesn't require any services from the environment (`Any`), doesn't fail `Nothing`. It takes a request `Request` and Returns a response `Response`.
+
+It exposes the following endpoints
+1. `GET /greet` that returns a simple string response
+2. `GET /greet/:name` that expects a parameter in the URL and returns a string response
+3. `GET /greet?name=a&name=b` it extracts every `name` parameter from the query parameters
+
+```scala
+object StatelessService {
+  def apply(): Http[Any, Nothing, Request, Response] =
+    Http.collect[Request] {
+
+      // GET /greet?name=:name
+      case req @ (Method.GET -> Root / "greet")
+        if (req.url.queryParams.nonEmpty) =>
+          Response.text(s"Hello ${req.url.queryParams.get("name").map(_.mkString(" and "))}!")
+
+      // GET /greet
+      case Method.GET -> Root / "greet" => Response.text(s"Hello World!")
+
+      // GET /greet/:name
+      case Method.GET -> Root / "greet" / name => Response.text(s"Hello $name!")
+    }
+}
+```
+
+## File service
+This is an HTTP service that extends `Http[Any, Throwable, Request, Response]`, it doesn't require any environment, it may fail with `Throwable` error and it consumes a `Request` and produces a `Response` respectively.
+
+It exposes the following endpoints
+1. `GET /download` which downloads a file named `file.txt`
+2. `GET /download/stream` which streams the chunks of the large file named `bigfile.txt`
+
+```scala
+object FileService {
+  def apply(): Http[Any, Throwable, Request, Response] =
+    Http.collect[Request] {
+
+      // GET /download
+      case Method.GET -> Root / "download" =>
+        val fileName = "file.txt"
+        http.Response(
+          status = Status.Ok,
+          headers = Headers(
+            Header.ContentType(MediaType.application.`octet-stream`),
+            Header.ContentDisposition.attachment(fileName)
+          ),
+          body = Body.fromStream(ZStream.fromResource(fileName))
+        )
+
+      // Download a large file using streams
+      // GET /download/stream
+      case Method.GET -> Root / "download" / "stream" =>
+        val file = "bigfile.txt"
+        http.Response(
+          status = Status.Ok,
+          headers = Headers(
+            Header.ContentType(MediaType.application.`octet-stream`),
+            Header.ContentDisposition.attachment(file)
+          ),
+          body = Body.fromStream(ZStream.fromResource(file).schedule(Schedule.spaced(50.millis)))
+        )
+    }
+}
+```
+
+
+## Stateful service
+This is an HTTP service that extends `Http[ItemRepo, Throwable, Request, Response]`. It requires a `ItemRepo` service from the ZIO environment, it can fail with `Throwable` error. It consumes a `Request` and produces a `Response` respectively.
+
+It exposes the following endpoints
+1. `POST /items` expects a JSON paylod representing a new item to store
+1. `GET /items` to list all previously inserted items in JSON
+1. `GET /items/:id` to get a JSON representation of an item by its identifier
+
+Implementing this service is more involed, we first need to define our data model `Item` and its JSON de/serialization logic in `Item.scala`
+
+```scala
+case class Item(name: String, desription: String)
+
+object Item:
+  given JsonEncoder[Item] = DeriveJsonEncoder.gen[Item]
+  given JsonDecoder[Item] = DeriveJsonDecoder.gen[Item]
+```
+
+Then, we define the interfaces for registering/searching/listing items in a `ItemRepo` trait along with the corresponding ZIO zervice in `ItemRepo.scala`:
+
+```scala
+trait ItemRepo:
+  def insert(item: Item): Task[String]
+  def lookup(id: String): Task[Option[Item]]
+  def items: Task[List[Item]]
+
+object ItemRepo:
+  def insert(item: Item): ZIO[ItemRepo, Throwable, String] = ZIO.serviceWithZIO[ItemRepo](_.insert(item))
+  def lookup(id: String): ZIO[ItemRepo, Throwable, Option[Item]] = ZIO.serviceWithZIO[ItemRepo](_.lookup(id))
+  def items: ZIO[ItemRepo, Throwable, List[Item]] = ZIO.serviceWithZIO[ItemRepo](_.items)
+```
+
+Then we define an in-memory implementation of `ItemRepo` and register it to ZIO environemnt in `InmemoryItemRepo.scala`:
+
+```scala
+case class InmemoryItemRepo(map: Ref[Map[String, Item]]) extends ItemRepo:
+  def insert(item: Item): UIO[String] =
+    for
+      id <- Random.nextUUID.map(_.toString)
+      _  <- map.update(_ + (id -> item))
+    yield id
+
+  def lookup(id: String): UIO[Option[Item]] = map.get.map(_.get(id))
+  def items: UIO[List[Item]] = map.get.map(_.values.toList)
+
+object InmemoryItemRepo {
+  def layer: ZLayer[Any, Nothing, InmemoryItemRepo] =
+    ZLayer.fromZIO(
+      Ref.make(Map.empty[String, Item]).map(new InmemoryItemRepo(_))
+    )
+}
+```
+
+Finally, we implement our HTTP service and expose the different endpoints
+```scala
+object StatefulService {
+  def apply(): Http[ItemRepo, Throwable, Request, Response] =
+    Http.collectZIO[Request] {
+
+      // POST /items -d '{"name": "...", "description": "..."}'
+      case req @ (Method.POST -> Root / "items") =>
+        (for {
+          i <- req.body.asString.map(_.fromJson[Item])
+          r <- i match
+            case Left(e) =>
+              ZIO.debug(s"Failed to parse the input: $e")
+                .as(Response.text(e).withStatus(Status.BadRequest))
+            case Right(i) =>
+              ItemRepo.insert(i).map(id => Response.text(id))
+        } yield r).orDie
+
+      // GET /items/:id
+      case Method.GET -> Root / "items" / id =>
+        ItemRepo
+          .lookup(id)
+          .map {
+            case Some(item) => Response.json(item.toJson)
+            case None => Response.status(Status.NotFound)
+          }
+          .orDie
+
+      // GET /items
+      case Method.GET -> Root / "items" =>
+        ItemRepo.items.map(response => Response.json(response.toJson)).orDie
+    }
+}
+```
+
+## That's all folks
+In this article we saw how easy it is to work with [ZIO](https://zio.dev) ecosystem to build HTTP services for different use cases.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-10-01-gcp_serverless_rag-i.md b/_posts/2023-10-01-gcp_serverless_rag-i.md
new file mode 100644
index 0000000..baff8c5
--- /dev/null
+++ b/_posts/2023-10-01-gcp_serverless_rag-i.md
@@ -0,0 +1,324 @@
+---
+layout: post
+comments: true
+title: Scalable RAG applications on GCP with Serverless architecture - Part 1
+excerpt: Learn how to deploy a scalable Retrieval augmented generation (RAG) applications on GCP with a Serverless architecture
+tags: [ai,gcp,genai]
+toc: true
+img_excerpt:
+---
+
+![GCP Serverless RAG architecture]({{ "/assets/2023/10/20231001-gcp-serverless-rag.svg" | absolute_url }})
+
+
+Retrieval-Augmented Generation (RAG) is an AI framework that enhances the quality of Large Language Model (LLM)-generated responses by supplementing the LLM's internal representation of information with external sources of knowledge. This gives us control over the data used by the LLM when it formulates a response. With RAG, we can constrain the external information accessible to the LLM to include any type of vectorized data: documents, images, audio, and video. 
+
+This serie of articles showcase how to leverage GCP managed services to implement Retrieval-Augmented workflows at Scale. In this first part, we will develop a serverless ETL data pipeline to extract, embed, index business documents of any scale. We will leaverage **LangChain** for chunking large documents into small chunks, **Vertex AI** for data indexing and **Cloud SQL for Postgres** and its **pgvector** extension as a managed vector store. To be able to scale the data pipeline up or down based on the amount of documents while controlling cost we will use **Cloud Functions**.
+In the second part, we will implement a serverless data retrieval by leaveraging **Cloud Run** as a scalable runtime and **LangChain** to construct Question/Answering prompts from user input in a format that maximizes the LLM response accuracy.
+
+
+## Infrastructure
+
+The diagram above illustrates the architecture and components of the solution. It shows the process of uploading a document to cloud storage, the document being processed and saved with embeddings, and the user querying and searching for the document using embeddings.
+
+The solution is divided into 10 steps:
+
+- Steps 1 to 6 represents the ETL Data pipeline
+- Steps 7 to 10 represents the user query flow
+
+In the remaining of this first part, we will implement the steps of the ETL Data pipeline.
+
+
+### Cloud Storage
+First, we need to setup a Cloud Storage bucket where the data will be uploaded for processing.
+
+Let's first define some environment variables
+
+```shell
+PROJECT_ID = ""
+REGION = ""
+SERVICE_ACCOUNT = "rag-identity"
+BUCKET = "documents-bucket"
+```
+
+Create a Cloud Storage bucket or reuse an existing one:
+```shell
+gsutil mb -l $REGION gs://$BUCKET
+```
+
+Create a service account to use as the service identity:
+```shell
+gcloud iam service-accounts create $SERVICE_ACCOUNT
+```
+
+Grant the service account access to the Cloud Storage bucket:
+```shell
+gcloud projects add-iam-policy-binding $PROJECT_ID \
+  --member "serviceAccount:$SERVICE_ACCOUNT@$PROJECT_ID.iam.gserviceaccount.com" \
+  --role "roles/storage.objectAdmin"
+```
+
+### PubSub
+Once documents are uploaded to Cloud Storage, we want a notification event to be created and queued in a PubSub topic.
+
+Let's create a PubSub topic with the Google CLI.
+
+```shell
+TOPIC = "documents-upload-topic"
+
+gcloud pubsub topics create $TOPIC
+```
+
+Then, using `gsutil`, we create a notification rule on the source bucket to be notified when files are uploaded to this bucket, and specifying the destination PubSub queue where notifications will be sent.
+
+```shell
+gsutil notification create -t $TOPIC -f json -e OBJECT_FINALIZE gs://$BUCKET
+```
+
+### Cloud SQL
+Cloud SQL for PostgreSQL supports the [pgvector](https://github.com/pgvector/pgvector) extension that brings the power of vector search operations to PostgreSQL. This extension is not enabled by default, but we can activate it by simply running the following SQL query:
+
+```sql
+CREATE EXTENSION IF NOT EXISTS vector;
+```
+
+Once pgvector is enabled, a new data type called `vector` becomes available to use with PostgreSQL table columns. Using the `vector` data type we can directly save embeddings like we would do with any other PostgreSQL data type. Learn more about using pgvector with Cloud SQL for Postgres - [link](https://cloud.google.com/blog/products/databases/using-pgvector-llms-and-langchain-with-google-cloud-databases/).
+
+
+Let's create a PosgreSQL instance to store the documents chunks and their embeddings:
+
+```shell
+INSTANCE_NAME = "vectorstore"
+DATABASE_NAME = "documents"
+DATABASE_USER = "admin"
+DATABASE_PASSWORD = "YOUR_PASSWORD"
+```
+
+```shell
+# Creating new Cloud SQL instance
+gcloud sql instances create $INSTANCE_NAME --database-version=POSTGRES_15 \
+  --region=$REGION --cpu=1 --memory=4GB --root-password=$DATABASE_PASSWORD
+
+# Create the database, if it does not exist.
+gcloud sql databases create $DATABASE_NAME --instance=$INSTANCE_NAME
+
+# Create the database user for accessing the database.
+gcloud sql users create $DATABASE_USER \
+  --instance=$INSTANCE_NAME \
+  --password=$DATABASE_PASSWORD
+
+# Enable Cloud SQL Admin API
+gcloud services enable sqladmin.googleapis.com
+gcloud services enable aiplatform.googleapis.com
+```
+
+Grant the service account access to the Cloud Storage bucket:
+
+```shell
+gcloud projects add-iam-policy-binding $PROJECT_ID \
+  --member "serviceAccount:$SERVICE_ACCOUNT@$PROJECT_ID.iam.gserviceaccount.com" \
+  --role "roles/cloudsql.client"
+```
+
+## Serverless data pipeline
+
+The data pipeline, responsible for ingesting/processing/storing documents, is implemented as a Cloud Function.
+
+Let's first define the dependencies in a `requirements.txt` file
+
+```
+cloudevents
+functions_framework=3.*
+asyncio==3.4.3
+asyncpg==0.27.0
+cloud-sql-python-connector["asyncpg"]==1.2.3
+pgvector==0.1.8
+langchain==0.0.196
+transformers==4.30.1
+google-cloud-aiplatform==1.26.0
+google-cloud-storage
+```
+
+The rest of this section, describes the detailed implementation of each component of the data pipeline.
+
+> Note: all helper functions are stored in the `lib.py` file
+
+### Reading from Cloud Storage
+This is a helper function to read a file from Cloud Storage (see [documentation](https://cloud.google.com/storage/docs/downloading-objects)), to be used in our Cloud Function to download documents.
+
+```python
+from google.cloud import storage
+
+def download(bucket_name, source_blob_name, destination_file_name):
+  """Downloads a blob from GS bucket."""
+  storage_client = storage.Client()
+  bucket = storage_client.bucket(bucket_name)
+  blob = bucket.blob(source_blob_name)
+  blob.download_to_filename(destination_file_name)
+```
+
+### Chunking with LangChain
+The ingested documents can be much longer than what can fit into a Vertex AI request for generating the vector embedding. In fact, Vertex AI text embedding model accepts text of size up to 3,072.
+
+This helper function uses the `RecursiveCharacterTextSplitter` from the LangChain library to split a document into smaller chunks of 1024 characters each.
+
+```python
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+
+# Split long text descriptions into smaller chunks that can fit into
+# the API request size limit, as expected by the LLM providers.
+def chunk(document)
+  text_splitter = RecursiveCharacterTextSplitter(
+    separators=[".", "\n"],
+    chunk_size=1024,
+    chunk_overlap=0,
+    length_function=len,
+  )
+  splits = text_splitter.create_documents([document])
+  chunks = [{"content": s.page_content} for s in splits]
+  return chunks
+```
+
+### Text embedding with Vertex AI
+This helper function uses Vertex AI text embedding model to generate vector embeddings, which are a 768-dimensional vectors. It takes a list of document chunks and calls Vertex AI Embedding Generation service with a batch of chunks each time, then adds the embeddings to each chunk's object using the key `"embedding"`.
+
+
+```python
+from langchain.embeddings import VertexAIEmbeddings
+from google.cloud import aiplatform
+
+project_id = os.environ["PROJECT_ID"]
+region = os.environ["REGION"]
+
+# Generate the vector embeddings for each chunk of text.
+def embed(chunks, batch_size = 3):
+  # Initialize Vertex AI Embedding Service
+  aiplatform.init(project=project_id, location=region)
+  embeddings_service = VertexAIEmbeddings()
+  # Embed all chunks in batches
+  for i in range(0, len(chunks), batch_size):
+    request = [x["content"] for x in chunks[i : i + batch_size]]
+    response = embeddings_service.embed_documents(request)
+    # Store the retrieved vector embeddings for each chunk back.
+    for x, e in zip(chunks[i : i + batch_size], response):
+      x["embedding"] = e
+```
+
+### Saving to PostgreSQL
+This helper function uses the [Cloud SQL Python Connector](https://cloud.google.com/sql/docs/postgres/samples/cloud-sql-postgres-sqlalchemy-connect-connector) to connect to the Cloud SQL from our Cloud Function. Then makes sure the `pgvector` extension is loaded and the target embeddings table is created. Finally, writes the chunks with their embeddings into Cloud SQL.
+
+```python
+import os
+import asyncio
+import asyncpg
+from google.cloud.sql.connector import Connector
+from pgvector.asyncpg import register_vector
+
+# Cloud SQL instance connection name
+db_host = os.environ["INSTANCE_CONNECTION_NAME"]  # e.g. project:region:instance
+db_user = os.environ["DB_USER"]  # e.g. 'my-db-user'
+db_pass = os.environ["DB_PASS"]  # e.g. 'my-db-password'
+db_name = os.environ["DB_NAME"]  # e.g. 'my-database'
+ip_type = IPTypes.PRIVATE if os.environ.get("PRIVATE_IP") else IPTypes.PUBLIC
+
+# Save a list of (content, embedding) into Cloud SQL
+async def save(chunks):
+  loop = asyncio.get_running_loop()
+  async with Connector(loop=loop) as connector:
+    # Create connection to Cloud SQL database
+    conn: asyncpg.Connection = await connector.connect_async(
+      db_host,
+      "asyncpg",
+      user=db_user,
+      password=db_pass,
+      db=db_name,
+      ip_type=ip_type,
+    )
+
+    # Load the pgvector extension
+    await conn.execute("CREATE EXTENSION IF NOT EXISTS vector")
+    await register_vector(conn)
+
+    # Create the `document_embeddings` table (it does not exist yet)
+    await conn.execute(
+      """CREATE TABLE IF NOT EXISTS document_embeddings(
+            id BIGSERIAL PRIMARY KEY,
+            content TEXT,
+            embedding VECTOR(768))"""
+    )
+    # Insert rows to the `document_embeddings` table.
+    rows = [(x["content"], x["embedding"]) for x in chunks]
+    await conn.execute(
+      "INSERT INTO document_embeddings (content, embedding) VALUES ($1, $2)",
+      rows,
+    )
+    await conn.close()
+```
+
+> Note: Saving credentials in environment variables is convenient, but not secure - consider a more secure solution such as [Cloud Secret Manager](https://cloud.google.com/secret-manager) to help keep secrets safe. Alternatively [Cloud SQL Auth Proxy](https://cloud.google.com/sql/docs/postgres/connect-instance-auth-proxy).
+
+### All together
+Finally, we implement the event handling of our Cloud Function in `main.py`. Upon receiving a notification event related to a file upload, we download the file, chunk it, embed each chunk, then store the embeddings to Cloud SQL.
+
+```python
+from cloudevents.http import CloudEvent
+import functions_framework
+from lib import download, chunk, embed, save
+
+def cloudevent_handler(cloud_event: CloudEvent) -> None:
+    print(f"Received event with ID: {cloud_event['id']} and data {cloud_event.data}")
+    # Get the bucket and file name from the event.
+    data = cloud_event.data["message"]["data"]
+    # Download the file from GS
+    download(data["bucket"], data["name"], 'blob.txt')
+    # Read local file
+    document = open('blob.txt', 'r').read()
+    # Chunk the document
+    chunks = chunk(document)
+    # Embed all chunks
+    embed(chunks)
+    # Save in PG
+    save(chunks)
+
+if __name__ == "__main__":
+  # Register the function with the Functions Framework.
+  functions_framework.cloud_event(cloudevent_handler)
+```
+
+## Deploy to Cloud Function
+First, we create a repository in the Artifact Registry to host the Docker containers of our Cloud Function (see [documentation](https://cloud.google.com/sql/docs/postgres/connect-instance-cloud-functions)).
+
+```shell
+gcloud artifacts repositories create rag-repo \
+  --project=$PROJECT_ID \
+  --repository-format=docker \
+  --location=$REGION \
+  --description="Artifacts for RAG applications"
+```
+
+We can optionally build Docker container of our Cloud Function and publish it to the Artifact Registry we created earlier.
+
+```shell
+gcloud builds submit \
+  --tag $REGION-docker.pkg.dev/$PROJECT_ID/rag-repo/index-function .
+```
+
+Finally, we deploy our Cloud Function using the `gcloud` CLI from the same directory containing the source code as follows
+
+```shell
+gcloud functions deploy index-function --source . \
+--execution-environment gen2 \
+--runtime python39 \
+--entry-point cloudevent_handler \
+--region $REGION \
+--trigger-topic $TOPIC
+--service-account $SERVICE_ACCOUNT \
+--set-env-vars BUCKET=$BUCKET \
+--set-env-vars INSTANCE_CONNECTION_NAME=$PROJECT_ID:$REGION:$INSTANCE_NAME
+```
+
+
+## That's all folks
+Building RAG applications to query bunch of files on your local machine is straightforward, however building a scalable and reliable architecture for RAG to ingest and query large amount of data is no easy business. In this article, we saw how to leverage Google Cloud managed services to build a serverless large-scale data pipeline to ingest and process data on the fly. In a next article, we will continue with our serverless approach and implemenet a scalable retrieval system, stay tuned.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-11-12-gcp_serverless_rag-ii.md b/_posts/2023-11-12-gcp_serverless_rag-ii.md
new file mode 100644
index 0000000..e661ed8
--- /dev/null
+++ b/_posts/2023-11-12-gcp_serverless_rag-ii.md
@@ -0,0 +1,160 @@
+---
+layout: post
+comments: true
+title: Scalable RAG applications on GCP with Serverless architecture - Part 2
+excerpt: Learn how to deploy a scalable Retrieval augmented generation (RAG) applications on GCP with a Serverless architecture
+tags: [ai,gcp,genai]
+toc: true
+img_excerpt:
+---
+
+![GCP Serverless RAG architecture]({{ "/assets/2023/10/20231001-gcp-serverless-rag.svg" | absolute_url }})
+
+In a [previous article]({{ "2023/10/01/gcp_serverless_rag-i/" }}), we built a serverless data pipeline to make an entire dataset searchable using simple English. In this second part, we will build a query anwering pipeline as represented by the Steps 7 to 10 in the diagram above. We will leverage **pgvector** Cosine search operator to filter documents from our dataset and **Vertex AI** with **LangChain** to generate a final answer based on the selected subset of documents.
+
+## Serverless Query Answering
+In this section, we define a set of helper functions to implement each component of the Query Answering pipeline in the `lib.py` file.
+
+Let's first define the dependencies in a `requirements.txt` file
+
+```
+cloudevents
+functions_framework=3.*
+asyncio==3.4.3
+asyncpg==0.27.0
+cloud-sql-python-connector["asyncpg"]==1.2.3
+pgvector==0.1.8
+langchain==0.0.196
+transformers==4.30.1
+google-cloud-aiplatform==1.26.0
+google-cloud-storage
+```
+
+### Embed the query
+
+Next, we define a helper function to generate the vector embedding for the user query.
+
+```python
+from langchain.embeddings import VertexAIEmbeddings
+
+# Generate embedding for the user query
+def embed_query(user_query):
+    embeddings_service = VertexAIEmbeddings()
+    return embeddings_service.embed_query([user_query])
+```
+
+> To learn more about using **Vertex AI** for retrieval check the following [article](https://cloud.google.com/blog/products/databases/using-pgvector-llms-and-langchain-with-google-cloud-databases/)
+
+### Retrive the documents
+
+To filter documents from our dataset we use the pgvector cosine similarity search operator. The following helper function establish a connection to PostgreSQL and then submits a retrieval query that uses the Cosine operator `<=>`:
+
+
+```python
+import os
+import asyncio
+import asyncpg
+from google.cloud.sql.connector import Connector
+
+# Cloud SQL instance connection name
+db_host = os.environ["INSTANCE_CONNECTION_NAME"]  # e.g. project:region:instance
+db_user = os.environ["DB_USER"]  # e.g. 'my-db-user'
+db_pass = os.environ["DB_PASS"]  # e.g. 'my-db-password'
+db_name = os.environ["DB_NAME"]  # e.g. 'my-database'
+ip_type = IPTypes.PRIVATE if os.environ.get("PRIVATE_IP") else IPTypes.PUBLIC
+
+# Find the documents most closely related to the input query.
+def retrieve(query_embedding, similarity_threshold=0.8, num_matches=3):
+    loop = asyncio.get_running_loop()
+    async with Connector(loop=loop) as connector:
+        # Create connection to Cloud SQL database
+        conn: asyncpg.Connection = await connector.connect_async(
+            db_host,
+            "asyncpg",
+            user=db_user,
+            password=db_pass,
+            db=db_name,
+            ip_type=ip_type,
+        )
+
+        # Use cosine similarity search to find documents
+        results = await conn.fetch("""
+            SELECT content
+            FROM document_embeddings
+            WHERE 1 - (embedding <=> $1) > $2
+            LIMIT $3
+            """, 
+            query_embedding, similarity_threshold, num_matches)
+        await conn.close()
+
+  return results
+```
+
+### Answer user query
+Next, we use **LangChain** to answer the user query. After filtering documents from the dataset to only relevant ones using `pgvector`, the next step is to add them to the prompt input for the VertexAI LLM model and to ask the model to answer the user query. This is simply done with LangChain's Question Answering Chain as follows:
+
+```python
+from langchain.chains.qa_with_sources import load_qa_with_sources_chain
+from langchain.docstore.document import Document
+from langchain.llms import VertexAI
+
+def qa(matches, question):
+    llm = VertexAI()
+    chain = load_qa_with_sources_chain(llm)
+    documents = [Document(page_content=text) for text in matches]
+    inputs = {"input_documents": documents, "question": question}
+    outputs = chain(inputs, return_only_outputs=True)["output_text"]
+    return outputs
+```
+
+> To learn more about using **LangChain** for Question Answering check the following [article](https://dzlab.github.io/2023/01/02/prompt-langchain/)
+
+### All together
+Finally, we create a simple Flask based API to answer user queries. Upon receiving a user request with a question, we embed the question, use the embeddings to filter out non relevant documents, then pass the selected documents along with the user query to an LLM to generate a response.
+
+```python
+import os
+from flask import Flask, request
+from lib import embed_query, retrieve, qa
+
+@app.route('/answer', methods= ['POST'])
+def answer():
+    # Get the user query
+    user_query = request.data
+    # Embed user query
+    embed_query(user_query)
+    # Retrieve similar documents
+    matches = retrieve(query_embedding)
+    # Answer the query given found matches
+    response = qa(matches, user_query)
+    return response
+
+if __name__ == "__main__":
+    app.run(port=8000, host='0.0.0.0', debug=True)
+```
+
+
+## Deploy to Cloud Function
+Finnally, we can package everything and deploy it to GCP. We will use Cloud Run to deloy our function as follows:
+
+```shell
+gcloud run deploy qa-function \
+--source . \
+--execution-environment gen2 \
+--service-account fs-identity \
+--set-env-vars INSTANCE_CONNECTION_NAME=$PROJECT_ID:$REGION:$INSTANCE_NAME
+--allow-unauthenticated
+```
+
+After deployment finishes, we can test it with the following `curl`
+
+```shell
+curl -X POST -H "Content-Type: text/plain" \
+-d "Tell me a joke" \
+  https://my-service-abcdef-uc.a.run.app
+```
+
+## That's all folks
+In a previous article, we saw how to leverage Google Cloud managed services to build a serverless large-scale data pipeline to ingest and embed documents. In this article, we implemented a scalable retrieval system on top of the previously indexed documents with **Vertex AI** and **Cloud SQL for Postgres**.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-11-13-palm-extraction.md b/_posts/2023-11-13-palm-extraction.md
new file mode 100644
index 0000000..890a251
--- /dev/null
+++ b/_posts/2023-11-13-palm-extraction.md
@@ -0,0 +1,138 @@
+---
+layout: post
+comments: true
+title: Extracting structured data from unstructured text with PaLM
+excerpt: PaLM example showing how to extract detailed job description from unstructured text taken from HN 'Who is Hiring?' tread
+tags: [genai,palm]
+toc: true
+img_excerpt:
+---
+
+In this article, we'll go over one of the main use cases that LLMs like PaLM are used for, which is extracting specific entities from unstructured text. These entities are represented by a structured description of multiple pieces of information, and the LLM to look over the text and extract a list of these elements at once. For instance, we might ask the LLM to look over an article and extract a list of the papers that were referenced in that article.
+
+In the rest of this article, we will use PaLM to extract and organize job posting from Hacker News 'Who is Hiring?' tread.
+
+
+First, install PaLM python library and set PaLM API Key
+```bash
+pip install google-generativeai
+export GOOGLE_API_KEY=xyz
+```
+
+Then, import needed modules
+
+```python
+import os
+import json
+import requests
+import google.generativeai as palm
+```
+
+Initialise PaLM with the API Key
+```python
+palm.configure(api_key=os.environ['GOOGLE_API_KEY'])
+```
+
+Then, we use Hacker News Algolia Search API to retrieve all the comments from the HN thread. For example, November thread URL is https://news.ycombinator.com/item?id=38099086 and can be accessed throught Algolia Search API at https://hn.algolia.com/api/v1/search_by_date?tags=comment,story_38099086&hitsPerPage=3
+
+```python
+endpoint = 'https://hn.algolia.com/api/v1/search_by_date'
+thread_id = '38099086'
+url = f'{endpoint}?tags=comment,story_{thread_id}&hitsPerPage=3'
+
+response_raw = requests.get(url)
+response = json.loads(response_raw.text)
+```
+
+The response contains an array of JSON objects within the `hits` field, each representing a post from the HN thread. In our case, we need the `comment_text` field of the comment objects as they do contain the actual text of each comment. We extract them like this
+
+```python
+posts = []
+for hit in response['hits']:
+    if hit['parent_id'] == hit['story_id']:
+        post = {'created_at': hit['created_at'], 'author': hit['author'], 'description': hit['comment_text']}
+        posts.append(post)
+```
+
+Notice that by using the condition `hit['parent_id'] == hit['story_id']` we are ignore comments that are not top level, are not actual job description.
+
+we can examine some of the job description with
+
+```python
+description = posts[0]['description']
+description
+```
+
+This will return something like
+
+```
+Doist | Platform Engineer | Remote-first | Full-time | Learn more &amp; apply (through November 14): <a href="https:&#x2F;&#x2F;doist.com&#x2F;careers&#x2F;86E3FE7734-platform-engineer" rel="nofollow noreferrer">https:&#x2F;&#x2F;doist.com&#x2F;careers&#x2F;86E3FE7734-platform-engineer</a><p>Doist | iOS Engineer | Remote-first | Full-time | Learn more &amp; apply (through Novemver 27): <a href="https:&#x2F;&#x2F;doist.com&#x2F;careers&#x2F;296CCEE773-ios-engineer" rel="nofollow noreferrer">https:&#x2F;&#x2F;doist.com&#x2F;careers&#x2F;296CCEE773-ios-engineer</a><p>At Doist, we&#x27;re building the future of work.<p>We envision a future in which people can work without distractions from anywhere in the world on things that they are passionate about and then unplug at the end of the day with the reassuring peace-of-mind that their tasks and teamwork are accounted for.<p>All our roles are fully remote, so you&#x27;ll be free to work from wherever you please and on a schedule that works best for you.<p>To learn more about who we are and how we work, please check out our blog: <a href="https:&#x2F;&#x2F;blog.doist.com&#x2F;" rel="nofollow noreferrer">https:&#x2F;&#x2F;blog.doist.com&#x2F;</a>
+```
+
+From the above text, we want to extract the pieces of information that describe the job like company name and job location, etc. Let's define the schema or list of fields we want PaLM to extract from each raw job description: 
+
+```python
+fields = """
+    - Company
+    - Goal
+    - Positions
+    - Locations
+    - Job Type: Full time or part time
+    - Remote (Full, Partial, from specific timezone)
+    - Compensation
+    - Experience
+    - Website URL
+    - Job offer URLs
+    - Emails
+    - Visa
+"""
+```
+
+Then we define a general template for the prompt we will submit to PaLM for it to perform the extraction task:
+
+```python
+prompt_template = """
+You will be provided with a Job description enclosed between ####.
+The job description is taken from 'Ask HN: Who is Hiring?' and may contain HTML tags.
+
+Extract from it the following key points (use null if needed):{fields}
+
+If you encouter any concealed email address then decipher.
+Format the output as a valid JSON object. 
+
+####
+{description}
+####
+"""
+```
+
+Now, we simply iterate through each post in the thread, construct the prompt and then submit it to PaLM:
+
+```python
+jobs = []
+for post in posts:
+    prompt = prompt_template.format(fields=fields, description=post['description'])
+    completion = palm.generate_text(
+        model=model,
+        prompt=prompt,
+        temperature=0,
+        candidate_count=1,
+        max_output_tokens=1024,
+    )
+    job = json.loads(completion.result)
+    jobs.append(job)
+```
+
+This is an example job description as returned by PaLM
+
+```
+{'Company': 'Doist', 'Goal': 'Building the future of work', 'Positions': ['Platform Engineer', 'iOS Engineer'], 'Locations': ['Remote-first'], 'Job Type': 'Full-time', 'Remote': 'Full', 'Compensation': None, 'Experience': None, 'Website URL': 'https://doist.com/', 'Job offer URLs': ['https://doist.com/careers/86E3FE7734-platform-engineer', 'https://doist.com/careers/296CCEE773-ios-engineer'], 'Emails': None, 'Visa': None}
+```
+
+As an improvement, we can play further with the prompt to make sure the output of PaLM is valid JSON and that each field data type is consistent with an expected schema. For instance when using a field named `Location`, PaLM will tend to return only one value, but as we used `Locations` it seemed to have understood that we want a list and does a good job in following this. But still there are cases where sometimes it will return a string and another time it will return an integer. One thing we can try is to add a description of the expected type next to each field definition in the prompt.
+
+
+## That's all folks
+Structured data extraction is one of the most popular use cases for using LLM. And so gaining familiarity with this task will go a long way. In this article, we saw how to leverage the capabilities of Algolia API to load data from Hacker News and use PaLM for data processing and extraction to converts a raw thread text into a structured and organized list of job descriptions.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/_posts/2023-11-20-gcp-vertex-intro.md b/_posts/2023-11-20-gcp-vertex-intro.md
new file mode 100644
index 0000000..332ab98
--- /dev/null
+++ b/_posts/2023-11-20-gcp-vertex-intro.md
@@ -0,0 +1,181 @@
+---
+layout: post
+comments: true
+title: ML Pipelines on GCP with Vertex AI
+excerpt: Get started building training pipelines on GCP with Vertex AI
+tags: [genai,palm]
+toc: true
+img_excerpt:
+---
+
+
+[Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines) are a platform for building and running machine learning workflows on Google Cloud Platform. They allow the orchestration of machine learning tasks using pre-built or custom components, and leverage the serverless and scalable infrastructure of Vertex AI.
+
+Vertex AI Pipelines is based on the open source Kubeflow Pipelines, but they the two have some differences in terms of features, implementation, and integration:
+
+|Kubeflow Pipelines|Vertex AI Pipelines|
+|-|-|
+|Open-source project that runs on Kubernetes clusters| A managed service that runs on Google Cloud Platform.|
+|You to manage your own infrastructure and cluster maintenance| It handles these tasks for you in a serverless manner.|
+|Supports pipelines built using the Kubeflow Pipelines SDK v1 or v2 domain-specific language (DSL)| Supports pipelines built using the Kubeflow Pipelines SDK v2 DSL or TFX v0.30.0 or later.|
+|Allows you to group pipeline runs into experiments and track their metrics| Supports TensorBoard and Vizier for visualization and hyperparameter tuning.|
+|Lets you use Kubernetes resources such as persistent volume claims for data storage| Requires you to use Cloud Storage and mounts your data using Cloud Storage FUSE.|
+|Has some features that are not supported in Vertex AI Pipelines, such as cache expiration and recursion| Has some features that are not supported in Kubeflow Pipelines, such as Vertex ML Metadata and Vertex AI services integration.|
+
+Vertex AI Pipelines can be used to create different types of training pipelines; such as custom jobs, hyperparameter tuning jobs, and distributed training jobs. We can also use Vertex AI datasets (managed datasets) in the training pipeline.
+
+But regardless of these different types, creating a pipeline in Vertex AI, follow these steps:
+- Setup environment on GCP: enable api, service account, cloud storage, provision Vertex AI Workbench
+- Write the pipeline code in Python, using either the Kubeflow Pipelines or TFX DSL.
+- Compile the pipeline definition to JSON format using the KFP or TFX library.
+- Submit the compiled pipeline definition to the Vertex AI API to be executed immediately.
+
+The rest of this article describes how to perform each of the previous steps.
+
+## Cloud environment setup
+You may first need to create or use an existing Google Cloud Project. Make sure that you are the owner of the project and that billing is enabled.
+
+Then, enable the necessary APIs for the deployment, such as Kubernetes Engine API, Cloud Build API, and Container Registry API. For example, you can run the following command to enable the Kubernetes Engine API:
+
+```bash
+gcloud services enable container.googleapis.com
+```
+
+Install the Google Cloud SDK and the Kubeflow CLI on your development environment: local machine or [Vertex AI Pipelines Jupyter notebooks](https://cloud.google.com/vertex-ai/docs/pipelines/notebooks).You can create or open a Vertex notebook instance in the **Cloud Console** or the **Vertex AI Workbench**, and choose any notebook environment that has the Vertex AI SDK and the Kubeflow Pipelines SDK v2 installed, such as TensorFlow Enterprise 2.6 or PyTorch 1.10.
+
+Then, configure your environment variables for your project ID, region, and pipeline root. For example, you can run the following commands to set your project ID, region, and pipeline root:
+
+```bash
+export PROJECT_ID=[YOUR_PROJECT_ID]
+export REGION=[YOUR_REGION]
+export PIPELINE_ROOT=gs://[YOUR_BUCKET_NAME]/pipeline_root
+```
+
+Create a Cloud Storage bucket to store your pipeline artifacts and outputs. For example, you can run the following command to create a bucket with the same name as your pipeline root:
+
+```bash
+gsutil mb -l ${REGION} -p ${PROJECT_ID} ${PIPELINE_ROOT}
+```
+
+Grant your team access to Kubeflow by assigning them the appropriate roles on the GCP console. For example, you can run the following command to grant the `roles/iap.httpsResourceAccessor` role to a user:
+
+```bash
+gcloud projects add-iam-policy-binding ${PROJECT_ID} \
+--member=user:${EMAIL} \
+--role=roles/iap.httpsResourceAccessor
+```
+
+Install the `google_cloud_pipeline_components` library to be able to import and use pre-built components for Vertex AI services and features, such as datasets, models, endpoints, AutoML, custom training, batch prediction, online prediction, etc.
+
+```bash
+pip install google-cloud-pipeline-components
+```
+
+## Implementing pipelines
+In this section, we will implement a Vertex AI pipeline that trains an AutoML model on the iris dataset. We will use the `TabularDatasetCreateOp` component to create a tabular dataset from a CSV file hosted on Google Storage, the `AutoMLTabularTrainingJobRunOp` component to train an AutoML tabular classification model on this dataset, and the `ModelDeployOp` component to deploy the model to an endpoint.
+
+
+First, we import the necessary modules and set some variables for the project ID, region, and pipeline root.
+
+```python
+import kfp
+from google_cloud_pipeline_components import aiplatform as gcc_aip
+
+PROJECT_ID = 'your-project-id' # Change to your project ID
+REGION = 'us-central1' # Change to your region
+PIPELINE_ROOT = 'gs://your-bucket-name/pipeline_root' # Change to your bucket name
+```
+
+Then, we define the pipeline function using the `@kfp.dsl.pipeline` decorator. This function will define the steps and logic of the pipeline, using pre-built components from the `google_cloud_pipeline_components` library, use the outputs of one component as the inputs of another component, creating a dependency between them.
+
+In our case, we will create a simple pipeline that creates a dataset from a CSV file, trains an AutoML model on that dataset, and deploys the model to an endpoint. 
+
+```python
+@kfp.dsl.pipeline(name='vertex-ai-pipeline-example')
+def pipeline(project: str = PROJECT_ID,
+             region: str = REGION,
+             api_endpoint: str = REGION + '-aiplatform.googleapis.com',
+             pipeline_root: str = PIPELINE_ROOT):
+
+    # Create a tabular dataset from a CSV file
+    dataset_create_op = gcc_aip.TabularDatasetCreateOp(
+        project=project,
+        display_name='iris',
+        gcs_source='gs://cloud-samples-data/ai-platform/iris/iris.csv'
+    )
+
+    # Train an AutoML tabular classification model on the dataset
+    training_op = gcc_aip.AutoMLTabularTrainingJobRunOp(
+        project=project,
+        display_name='automl-iris',
+        optimization_prediction_type='classification',
+        optimization_objective='minimize-log-loss',
+        column_transformations=[
+            {"numeric": {"column_name": "sepal_length"}},
+            {"numeric": {"column_name": "sepal_width"}},
+            {"numeric": {"column_name": "petal_length"}},
+            {"numeric": {"column_name": "petal_width"}},
+            {"categorical": {"column_name": "species"}}
+        ],
+        dataset=dataset_create_op.outputs['dataset'],
+        target_column='species'
+    )
+
+    # Create a deployment endpoint
+    endpoint_create_op = gcc_aip.EndpointCreateOp(
+        project=project,
+        display_name='iris-endpoint'
+    )
+
+    # Deploy the model to the previous endpoint
+    model_deploy_op = gcc_aip.ModelDeployOp(
+        project=project,
+        endpoint=endpoint_create_op.outputs['endpoint'],
+        model=training_op.outputs['model'],
+        deployed_model_display_name='automl-iris',
+        machine_type='n1-standard-4'
+    )
+```
+
+You can find more details and examples of using pre-built components for interacting with Vertex AI services and features when implementing pipelines in the [Vertex AI Pipelines documentation](https://cloud.google.com/vertex-ai/docs/pipelines), and the [All Vertex AI code samples](https://cloud.google.com/vertex-ai/docs/samples).
+
+## Compile and Submit to Vertex AI
+After implementing the pipeline, we can compile the pipeline and then submit it to Vertex AI to run it.
+
+Let's compile the pipeline definition from previous section to a JSON file that defines the pipeline specification. For example, the following code compile a pipeline function to a file named `pipeline.json`:
+
+```python
+from kfp.v2 import compiler
+
+# Compile the pipeline to JSON
+compiler.Compiler().compile(
+    pipeline_func=pipeline, # your pipeline function
+    package_path='pipeline.json' # your output file name
+)
+```
+
+To submit a pipeline to Vertex AI and run it we need to create an instance of the `AIPlatformClient` class to connect to the Vertex AI API, then use the `create_run_from_job_spec` method to submit the pipeline as follows:
+
+```python
+from kfp.v2.google.client import AIPlatformClient
+
+# Initialize the client
+api_client = AIPlatformClient(
+    project_id=PROJECT_ID, # your project ID
+    region=REGION # your region
+)
+
+# Run the pipeline
+response = api_client.create_run_from_job_spec(
+    'pipeline.json', # your pipeline definition file
+    pipeline_root=PIPELINE_ROOT # your pipeline root bucket
+)
+```
+
+Once the pipeline is submitted successfully, we can monitor it in the Vertex AI console or programmatically using the `get_job` and `list_jobs` methods of the `AIPlatformClient` class. We can also use TensorBoard and Vizier to visualize and optimize the pipeline results.
+
+
+## That's all folks
+In this article we saw how easy it is to create ML training pipelines on GCP with Vertex AI pipelines and leaveraging off-the-shelf components to create an AutoML training job.
+
+I hope you enjoyed this article, feel free to leave a comment or reach out on twitter [@bachiirc](https://twitter.com/bachiirc).
diff --git a/about.md b/about.md
index 4270bc0..5b169c8 100644
--- a/about.md
+++ b/about.md
@@ -3,9 +3,11 @@ layout: page
 title: About
 ---
 
-Hey there! This is Bachir, a Software Engineer with strong industry experience in building enterprise products. I started this blog to share my hands on experience with deep learning and related stuff (computer vision, nlp).
+Hey there! This is Bachir, a freelance Software Engineer with strong industry experience in building enterprise products, specializing in Data platforms and Deep Learning. I am currently availabile for short to medium-term projects. My resume is available on request. Send me an [Email](mailto:dzlabs@outlook.com), and we can set up a introductory call.
 
-You can subscribe to updates using this [feed]({{ site.url }}/feed.xml).
+I started this blog to share my hands on experience with deep learning and related stuff (computer vision, nlp).
+
+You can subscribe to updates using this [feed]({{ "/feed.xml" }}).
 
 You can find me and my work:
 * On [Google Dev Library](https://devlibrary.withgoogle.com/authors/bachiirc)
diff --git a/assets/2023/03/2023-03-04-network-observability-elastic-architecture.svg b/assets/2023/03/2023-03-04-network-observability-elastic-architecture.svg
new file mode 100644
index 0000000..ac206b6
--- /dev/null
+++ b/assets/2023/03/2023-03-04-network-observability-elastic-architecture.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1037.9002170793738 483.26701382470674" width="2075.8004341587475" height="966.5340276494135">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="1037.9002170793738" height="483.26701382470674" fill="#ffffff"></rect><g stroke-linecap="round" transform="translate(307 17.063531011122677) rotate(0 32.540420532226506 32.540420532226506)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C4.25 7.3, 8.37 2.56, 10.63 -0.03 M0.13 12.04 C4.11 7.47, 8.08 2.9, 10.63 -0.03 M0.27 24.08 C7.09 16.23, 13.92 8.38, 21.26 -0.07 M0.27 24.08 C8.31 14.83, 16.36 5.57, 21.26 -0.07 M-0.26 36.88 C11.28 23.61, 22.81 10.34, 31.89 -0.1 M-0.26 36.88 C10.85 24.11, 21.95 11.34, 31.89 -0.1 M-0.12 48.92 C9.99 37.28, 20.11 25.64, 42.52 -0.14 M-0.12 48.92 C9.42 37.94, 18.96 26.97, 42.52 -0.14 M0.01 60.96 C17.63 40.69, 35.24 20.43, 53.15 -0.17 M0.01 60.96 C11.89 47.3, 23.76 33.63, 53.15 -0.17 M4.08 68.47 C17.06 53.54, 30.03 38.61, 63.78 -0.21 M4.08 68.47 C26.05 43.19, 48.03 17.92, 63.78 -0.21 M14.71 68.44 C34.46 45.71, 54.21 22.99, 70.47 4.29 M14.71 68.44 C35.39 44.64, 56.08 20.85, 70.47 4.29 M25.34 68.4 C37.06 54.92, 48.78 41.44, 69.95 17.08 M25.34 68.4 C34.6 57.75, 43.86 47.1, 69.95 17.08 M35.97 68.37 C42.9 60.4, 49.83 52.43, 70.08 29.12 M35.97 68.37 C49.19 53.16, 62.41 37.96, 70.08 29.12 M46.6 68.33 C54.94 58.73, 63.29 49.14, 70.22 41.16 M46.6 68.33 C54.29 59.48, 61.99 50.63, 70.22 41.16 M57.23 68.3 C61 63.97, 64.76 59.63, 70.35 53.2 M57.23 68.3 C60.06 65.05, 62.88 61.8, 70.35 53.2 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M12.27 65.15 C8.07 61.49, 3.86 57.84, 0.19 54.65 M12.27 65.15 C9.38 62.64, 6.5 60.13, 0.19 54.65 M24.31 65.01 C16.95 58.61, 9.58 52.21, 0.16 44.02 M24.31 65.01 C17.21 58.84, 10.12 52.68, 0.16 44.02 M36.35 64.88 C23.28 53.52, 10.21 42.16, 0.13 33.39 M36.35 64.88 C22.41 52.76, 8.46 40.63, 0.13 33.39 M49.15 65.4 C32.46 50.89, 15.76 36.38, 0.09 22.76 M49.15 65.4 C30.92 49.55, 12.68 33.71, 0.09 22.76 M61.19 65.27 C46.97 52.91, 32.76 40.56, 0.06 12.13 M61.19 65.27 C47.63 53.48, 34.06 41.69, 0.06 12.13 M68.7 61.2 C43.33 39.15, 17.96 17.09, 0.02 1.5 M68.7 61.2 C42.3 38.25, 15.9 15.31, 0.02 1.5 M68.67 50.57 C49.19 33.64, 29.72 16.72, 4.52 -5.19 M68.67 50.57 C51.95 36.04, 35.23 21.5, 4.52 -5.19 M68.63 39.94 C48.5 22.44, 28.37 4.94, 16.56 -5.33 M68.63 39.94 C49.02 22.9, 29.42 5.85, 16.56 -5.33 M68.6 29.31 C58.72 20.72, 48.84 12.13, 28.6 -5.46 M68.6 29.31 C58.42 20.47, 48.25 11.62, 28.6 -5.46 M68.56 18.68 C58.55 9.97, 48.53 1.26, 41.39 -4.94 M68.56 18.68 C58.11 9.59, 47.66 0.51, 41.39 -4.94 M68.53 8.05 C62.96 3.21, 57.4 -1.63, 53.43 -5.07 M68.53 8.05 C64.02 4.13, 59.52 0.22, 53.43 -5.07" stroke="#e6498088" stroke-width="1" fill="none"></path><path d="M0 0 C17.27 0, 34.54 0, 65.08 0 M0 0 C23 0, 46.01 0, 65.08 0 M65.08 0 C65.08 24.11, 65.08 48.22, 65.08 65.08 M65.08 0 C65.08 23.38, 65.08 46.76, 65.08 65.08 M65.08 65.08 C50.15 65.08, 35.22 65.08, 0 65.08 M65.08 65.08 C51.48 65.08, 37.88 65.08, 0 65.08 M0 65.08 C0 50.61, 0 36.13, 0 0 M0 65.08 C0 45.05, 0 25.03, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(315.1836514680281 46.17020551452811) rotate(0 4.058960227902446 4.058960227902446)"><path d="M8.12 4.06 C8.12 4.29, 8.1 4.53, 8.06 4.76 C8.02 5, 7.95 5.23, 7.87 5.45 C7.79 5.67, 7.69 5.88, 7.57 6.09 C7.46 6.29, 7.32 6.49, 7.17 6.67 C7.02 6.85, 6.85 7.02, 6.67 7.17 C6.49 7.32, 6.29 7.46, 6.09 7.57 C5.88 7.69, 5.67 7.79, 5.45 7.87 C5.23 7.95, 5 8.02, 4.76 8.06 C4.53 8.1, 4.29 8.12, 4.06 8.12 C3.82 8.12, 3.59 8.1, 3.35 8.06 C3.12 8.02, 2.89 7.95, 2.67 7.87 C2.45 7.79, 2.23 7.69, 2.03 7.57 C1.83 7.46, 1.63 7.32, 1.45 7.17 C1.27 7.02, 1.1 6.85, 0.95 6.67 C0.8 6.49, 0.66 6.29, 0.54 6.09 C0.43 5.88, 0.33 5.67, 0.24 5.45 C0.16 5.23, 0.1 5, 0.06 4.76 C0.02 4.53, 0 4.29, 0 4.06 C0 3.82, 0.02 3.59, 0.06 3.35 C0.1 3.12, 0.16 2.89, 0.24 2.67 C0.33 2.45, 0.43 2.23, 0.54 2.03 C0.66 1.83, 0.8 1.63, 0.95 1.45 C1.1 1.27, 1.27 1.1, 1.45 0.95 C1.63 0.8, 1.83 0.66, 2.03 0.54 C2.23 0.43, 2.45 0.33, 2.67 0.24 C2.89 0.16, 3.12 0.1, 3.35 0.06 C3.59 0.02, 3.82 0, 4.06 0 C4.29 0, 4.53 0.02, 4.76 0.06 C5 0.1, 5.23 0.16, 5.45 0.24 C5.67 0.33, 5.88 0.43, 6.09 0.54 C6.29 0.66, 6.49 0.8, 6.67 0.95 C6.85 1.1, 7.02 1.27, 7.17 1.45 C7.32 1.63, 7.46 1.83, 7.57 2.03 C7.69 2.23, 7.79 2.45, 7.87 2.67 C7.95 2.89, 8.02 3.12, 8.06 3.35 C8.1 3.59, 8.11 3.94, 8.12 4.06 C8.13 4.18, 8.13 3.94, 8.12 4.06" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(356.2414185176476 46.096770421062274) rotate(0 4.058960227902446 4.058960227902446)"><path d="M8.12 4.06 C8.12 4.29, 8.1 4.53, 8.06 4.76 C8.02 5, 7.95 5.23, 7.87 5.45 C7.79 5.67, 7.69 5.88, 7.57 6.09 C7.46 6.29, 7.32 6.49, 7.17 6.67 C7.02 6.85, 6.85 7.02, 6.67 7.17 C6.49 7.32, 6.29 7.46, 6.09 7.57 C5.88 7.69, 5.67 7.79, 5.45 7.87 C5.23 7.95, 5 8.02, 4.76 8.06 C4.53 8.1, 4.29 8.12, 4.06 8.12 C3.82 8.12, 3.59 8.1, 3.35 8.06 C3.12 8.02, 2.89 7.95, 2.67 7.87 C2.45 7.79, 2.23 7.69, 2.03 7.57 C1.83 7.46, 1.63 7.32, 1.45 7.17 C1.27 7.02, 1.1 6.85, 0.95 6.67 C0.8 6.49, 0.66 6.29, 0.54 6.09 C0.43 5.88, 0.33 5.67, 0.24 5.45 C0.16 5.23, 0.1 5, 0.06 4.76 C0.02 4.53, 0 4.29, 0 4.06 C0 3.82, 0.02 3.59, 0.06 3.35 C0.1 3.12, 0.16 2.89, 0.24 2.67 C0.33 2.45, 0.43 2.23, 0.54 2.03 C0.66 1.83, 0.8 1.63, 0.95 1.45 C1.1 1.27, 1.27 1.1, 1.45 0.95 C1.63 0.8, 1.83 0.66, 2.03 0.54 C2.23 0.43, 2.45 0.33, 2.67 0.24 C2.89 0.16, 3.12 0.1, 3.35 0.06 C3.59 0.02, 3.82 0, 4.06 0 C4.29 0, 4.53 0.02, 4.76 0.06 C5 0.1, 5.23 0.16, 5.45 0.24 C5.67 0.33, 5.88 0.43, 6.09 0.54 C6.29 0.66, 6.49 0.8, 6.67 0.95 C6.85 1.1, 7.02 1.27, 7.17 1.45 C7.32 1.63, 7.46 1.83, 7.57 2.03 C7.69 2.23, 7.79 2.45, 7.87 2.67 C7.95 2.89, 8.02 3.12, 8.06 3.35 C8.1 3.59, 8.11 3.94, 8.12 4.06 C8.13 4.18, 8.13 3.94, 8.12 4.06" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(332.1648728140708 42.48981026003389) rotate(0 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(338.7263685328089 36.56265122694572) rotate(89.99999999999994 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(344.660772431057 43.08149632596928) rotate(180 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(338.10837100508843 49.02951024517938) rotate(270 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(325.3283271469936 50.24393030429587) rotate(0 2.921236942186397 0.051064377021191376)"><path d="M0 0 C1.49 -0.01, 2.98 -0.03, 5.82 -0.05 M0 0 C1.58 -0.01, 3.17 -0.03, 5.82 -0.05 M5.82 -0.05 C5.06 -0.79, 4.3 -1.53, 3.25 -2.53 M5.82 -0.05 C4.9 -0.94, 3.98 -1.83, 3.25 -2.53 M3.25 -2.53 C3.87 -1.94, 4.48 -1.35, 5.84 -0.05 M3.25 -2.53 C3.79 -2.02, 4.32 -1.51, 5.84 -0.05 M5.84 -0.05 C5.28 0.49, 4.72 1.03, 3.04 2.63 M5.84 -0.05 C5.22 0.54, 4.6 1.14, 3.04 2.63" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(347.9221757739315 50.366800765932794) rotate(0 2.921236942186397 0.051064377021191376)"><path d="M0 0 C2.09 -0.02, 4.19 -0.04, 5.82 -0.05 M0 0 C1.87 -0.02, 3.73 -0.03, 5.82 -0.05 M5.82 -0.05 C5.1 -0.74, 4.39 -1.43, 3.25 -2.53 M5.82 -0.05 C4.85 -0.99, 3.89 -1.92, 3.25 -2.53 M3.25 -2.53 C4.27 -1.56, 5.29 -0.58, 5.84 -0.05 M3.25 -2.53 C3.87 -1.94, 4.48 -1.35, 5.84 -0.05 M5.84 -0.05 C4.87 0.88, 3.9 1.81, 3.04 2.63 M5.84 -0.05 C5.26 0.51, 4.67 1.07, 3.04 2.63" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(319.2070454512236 46.214024897047466) rotate(0 20.67481640637584 -8.41911181262742)"><path d="M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16 M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(318.9533880782119 70.90160856919852) rotate(180 20.67481640637584 -8.41911181262742)"><path d="M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16 M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(274.0404205322261 87.29929857366028) rotate(0 71.52000427246094 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">log files queue</text></g><g stroke-linecap="round" transform="translate(537 194.06353101112268) rotate(0 32.54042053222656 32.540420532226506)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C3.18 8.53, 6.23 5.02, 10.63 -0.03 M0.13 12.04 C3.1 8.62, 6.08 5.21, 10.63 -0.03 M0.27 24.08 C8.56 14.54, 16.85 5.01, 21.26 -0.07 M0.27 24.08 C6.8 16.57, 13.32 9.06, 21.26 -0.07 M-0.26 36.88 C8.04 27.34, 16.33 17.8, 31.89 -0.1 M-0.26 36.88 C9.68 25.44, 19.63 14.01, 31.89 -0.1 M-0.12 48.92 C14.27 32.36, 28.66 15.8, 42.52 -0.14 M-0.12 48.92 C10.04 37.23, 20.19 25.55, 42.52 -0.14 M0.01 60.96 C12.6 46.47, 25.19 31.99, 53.15 -0.17 M0.01 60.96 C15.21 43.47, 30.41 25.98, 53.15 -0.17 M4.08 68.47 C21.01 49, 37.94 29.52, 63.78 -0.21 M4.08 68.47 C18.43 51.96, 32.79 35.44, 63.78 -0.21 M14.71 68.44 C26.24 55.17, 37.77 41.91, 70.47 4.29 M14.71 68.44 C34.81 45.32, 54.9 22.2, 70.47 4.29 M25.34 68.4 C39.44 52.18, 53.54 35.96, 69.95 17.08 M25.34 68.4 C40.87 50.54, 56.4 32.67, 69.95 17.08 M35.97 68.37 C48.92 53.47, 61.87 38.58, 70.08 29.12 M35.97 68.37 C43.52 59.69, 51.06 51.01, 70.08 29.12 M46.6 68.33 C51.35 62.86, 56.11 57.4, 70.22 41.16 M46.6 68.33 C53.31 60.62, 60.01 52.9, 70.22 41.16 M57.23 68.3 C61.17 63.77, 65.11 59.23, 70.35 53.2 M57.23 68.3 C62.47 62.27, 67.72 56.23, 70.35 53.2 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M12.27 65.15 C8.08 61.51, 3.9 57.87, 0.19 54.65 M12.27 65.15 C7.81 61.27, 3.35 57.39, 0.19 54.65 M24.31 65.01 C19.29 60.65, 14.28 56.29, 0.16 44.02 M24.31 65.01 C14.86 56.8, 5.41 48.58, 0.16 44.02 M36.35 64.88 C28.04 57.66, 19.73 50.43, 0.13 33.39 M36.35 64.88 C27.45 57.14, 18.54 49.4, 0.13 33.39 M49.15 65.4 C30.75 49.41, 12.34 33.41, 0.09 22.76 M49.15 65.4 C31.04 49.67, 12.94 33.93, 0.09 22.76 M61.19 65.27 C43.36 49.77, 25.52 34.27, 0.06 12.13 M61.19 65.27 C43.65 50.03, 26.12 34.79, 0.06 12.13 M68.7 61.2 C48.96 44.04, 29.23 26.89, 0.02 1.5 M68.7 61.2 C42.1 38.08, 15.51 14.96, 0.02 1.5 M68.67 50.57 C55.2 38.87, 41.74 27.16, 4.52 -5.19 M68.67 50.57 C43.5 28.69, 18.33 6.82, 4.52 -5.19 M68.63 39.94 C56.93 29.77, 45.23 19.6, 16.56 -5.33 M68.63 39.94 C51.47 25.02, 34.31 10.1, 16.56 -5.33 M68.6 29.31 C56.88 19.12, 45.16 8.94, 28.6 -5.46 M68.6 29.31 C60.42 22.2, 52.24 15.09, 28.6 -5.46 M68.56 18.68 C59.06 10.42, 49.55 2.15, 41.39 -4.94 M68.56 18.68 C58.46 9.9, 48.36 1.12, 41.39 -4.94 M68.53 8.05 C62.75 3.03, 56.98 -1.99, 53.43 -5.07 M68.53 8.05 C65.39 5.33, 62.26 2.6, 53.43 -5.07" stroke="#e6498088" stroke-width="1" fill="none"></path><path d="M0 0 C19.32 0, 38.64 0, 65.08 0 M0 0 C23.29 0, 46.58 0, 65.08 0 M65.08 0 C65.08 15.43, 65.08 30.87, 65.08 65.08 M65.08 0 C65.08 13.41, 65.08 26.81, 65.08 65.08 M65.08 65.08 C52.02 65.08, 38.95 65.08, 0 65.08 M65.08 65.08 C50.71 65.08, 36.34 65.08, 0 65.08 M0 65.08 C0 46.32, 0 27.57, 0 0 M0 65.08 C0 45.38, 0 25.67, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(545.1836514680281 223.1702055145281) rotate(0 4.058960227902503 4.058960227902446)"><path d="M8.12 4.06 C8.12 4.29, 8.1 4.53, 8.06 4.76 C8.02 5, 7.95 5.23, 7.87 5.45 C7.79 5.67, 7.69 5.88, 7.57 6.09 C7.46 6.29, 7.32 6.49, 7.17 6.67 C7.02 6.85, 6.85 7.02, 6.67 7.17 C6.49 7.32, 6.29 7.46, 6.09 7.57 C5.88 7.69, 5.67 7.79, 5.45 7.87 C5.23 7.95, 5 8.02, 4.76 8.06 C4.53 8.1, 4.29 8.12, 4.06 8.12 C3.82 8.12, 3.59 8.1, 3.35 8.06 C3.12 8.02, 2.89 7.95, 2.67 7.87 C2.45 7.79, 2.23 7.69, 2.03 7.57 C1.83 7.46, 1.63 7.32, 1.45 7.17 C1.27 7.02, 1.1 6.85, 0.95 6.67 C0.8 6.49, 0.66 6.29, 0.54 6.09 C0.43 5.88, 0.33 5.67, 0.24 5.45 C0.16 5.23, 0.1 5, 0.06 4.76 C0.02 4.53, 0 4.29, 0 4.06 C0 3.82, 0.02 3.59, 0.06 3.35 C0.1 3.12, 0.16 2.89, 0.24 2.67 C0.33 2.45, 0.43 2.23, 0.54 2.03 C0.66 1.83, 0.8 1.63, 0.95 1.45 C1.1 1.27, 1.27 1.1, 1.45 0.95 C1.63 0.8, 1.83 0.66, 2.03 0.54 C2.23 0.43, 2.45 0.33, 2.67 0.24 C2.89 0.16, 3.12 0.1, 3.35 0.06 C3.59 0.02, 3.82 0, 4.06 0 C4.29 0, 4.53 0.02, 4.76 0.06 C5 0.1, 5.23 0.16, 5.45 0.24 C5.67 0.33, 5.88 0.43, 6.09 0.54 C6.29 0.66, 6.49 0.8, 6.67 0.95 C6.85 1.1, 7.02 1.27, 7.17 1.45 C7.32 1.63, 7.46 1.83, 7.57 2.03 C7.69 2.23, 7.79 2.45, 7.87 2.67 C7.95 2.89, 8.02 3.12, 8.06 3.35 C8.1 3.59, 8.11 3.94, 8.12 4.06 C8.13 4.18, 8.13 3.94, 8.12 4.06" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(586.2414185176476 223.09677042106227) rotate(0 4.058960227902503 4.058960227902446)"><path d="M8.12 4.06 C8.12 4.29, 8.1 4.53, 8.06 4.76 C8.02 5, 7.95 5.23, 7.87 5.45 C7.79 5.67, 7.69 5.88, 7.57 6.09 C7.46 6.29, 7.32 6.49, 7.17 6.67 C7.02 6.85, 6.85 7.02, 6.67 7.17 C6.49 7.32, 6.29 7.46, 6.09 7.57 C5.88 7.69, 5.67 7.79, 5.45 7.87 C5.23 7.95, 5 8.02, 4.76 8.06 C4.53 8.1, 4.29 8.12, 4.06 8.12 C3.82 8.12, 3.59 8.1, 3.35 8.06 C3.12 8.02, 2.89 7.95, 2.67 7.87 C2.45 7.79, 2.23 7.69, 2.03 7.57 C1.83 7.46, 1.63 7.32, 1.45 7.17 C1.27 7.02, 1.1 6.85, 0.95 6.67 C0.8 6.49, 0.66 6.29, 0.54 6.09 C0.43 5.88, 0.33 5.67, 0.24 5.45 C0.16 5.23, 0.1 5, 0.06 4.76 C0.02 4.53, 0 4.29, 0 4.06 C0 3.82, 0.02 3.59, 0.06 3.35 C0.1 3.12, 0.16 2.89, 0.24 2.67 C0.33 2.45, 0.43 2.23, 0.54 2.03 C0.66 1.83, 0.8 1.63, 0.95 1.45 C1.1 1.27, 1.27 1.1, 1.45 0.95 C1.63 0.8, 1.83 0.66, 2.03 0.54 C2.23 0.43, 2.45 0.33, 2.67 0.24 C2.89 0.16, 3.12 0.1, 3.35 0.06 C3.59 0.02, 3.82 0, 4.06 0 C4.29 0, 4.53 0.02, 4.76 0.06 C5 0.1, 5.23 0.16, 5.45 0.24 C5.67 0.33, 5.88 0.43, 6.09 0.54 C6.29 0.66, 6.49 0.8, 6.67 0.95 C6.85 1.1, 7.02 1.27, 7.17 1.45 C7.32 1.63, 7.46 1.83, 7.57 2.03 C7.69 2.23, 7.79 2.45, 7.87 2.67 C7.95 2.89, 8.02 3.12, 8.06 3.35 C8.1 3.59, 8.11 3.94, 8.12 4.06 C8.13 4.18, 8.13 3.94, 8.12 4.06" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(562.1648728140708 219.4898102600339) rotate(0 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(568.7263685328089 213.56265122694572) rotate(89.99999999999994 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(574.660772431057 220.08149632596928) rotate(180 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(568.1083710050884 226.02951024517938) rotate(270 0.7164212703793282 7.450742628495675)"><path d="M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9 M0 0 C0.26 0.59, 1.19 2.25, 1.53 3.52 C1.87 4.79, 2.08 6.27, 2.04 7.61 C2 8.96, 1.75 10.38, 1.3 11.6 C0.86 12.81, -0.3 14.35, -0.62 14.9" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(555.3283271469936 227.24393030429587) rotate(0 2.921236942186397 0.051064377021191376)"><path d="M0 0 C2.04 -0.02, 4.07 -0.04, 5.82 -0.05 M0 0 C1.27 -0.01, 2.54 -0.02, 5.82 -0.05 M5.82 -0.05 C5.08 -0.77, 4.34 -1.48, 3.25 -2.53 M5.82 -0.05 C5.21 -0.64, 4.6 -1.23, 3.25 -2.53 M3.25 -2.53 C3.87 -1.94, 4.48 -1.35, 5.84 -0.05 M3.25 -2.53 C4.1 -1.72, 4.95 -0.9, 5.84 -0.05 M5.84 -0.05 C4.9 0.85, 3.96 1.75, 3.04 2.63 M5.84 -0.05 C4.73 1.02, 3.61 2.08, 3.04 2.63" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(577.9221757739315 227.3668007659328) rotate(0 2.921236942186397 0.051064377021191376)"><path d="M0 0 C1.39 -0.01, 2.79 -0.03, 5.82 -0.05 M0 0 C1.97 -0.02, 3.95 -0.04, 5.82 -0.05 M5.82 -0.05 C5.08 -0.77, 4.34 -1.49, 3.25 -2.53 M5.82 -0.05 C4.81 -1.03, 3.8 -2, 3.25 -2.53 M3.25 -2.53 C3.8 -2.01, 4.35 -1.48, 5.84 -0.05 M3.25 -2.53 C4.14 -1.68, 5.03 -0.83, 5.84 -0.05 M5.84 -0.05 C5.22 0.55, 4.6 1.14, 3.04 2.63 M5.84 -0.05 C4.89 0.86, 3.95 1.76, 3.04 2.63" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(549.2070454512236 223.21402489704747) rotate(0 20.67481640637584 -8.41911181262742)"><path d="M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16 M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(548.9533880782119 247.90160856919852) rotate(180 20.67481640637584 -8.41911181262742)"><path d="M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16 M0 0 C0.43 -1.28, 1.18 -5.48, 2.56 -7.66 C3.94 -9.84, 6.18 -11.68, 8.27 -13.1 C10.36 -14.52, 12.82 -15.55, 15.09 -16.19 C17.37 -16.83, 19.5 -17.14, 21.94 -16.94 C24.38 -16.75, 27.5 -16.01, 29.75 -15.03 C32.01 -14.05, 33.84 -12.69, 35.48 -11.07 C37.11 -9.44, 38.6 -7.17, 39.57 -5.3 C40.55 -3.43, 41.05 -0.75, 41.35 0.16" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(509.0404205322261 264.2992985736603) rotate(0 62.10000228881836 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">errors queue</text></g><g stroke-linecap="round" transform="translate(538.3098443497481 10) rotate(0 32.230576182478444 32.199712367130076)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C2.84 8.93, 5.54 5.82, 10.63 -0.03 M0.13 12.04 C2.8 8.97, 5.47 5.9, 10.63 -0.03 M0.27 24.08 C5 18.64, 9.73 13.2, 21.26 -0.07 M0.27 24.08 C7.78 15.44, 15.3 6.79, 21.26 -0.07 M-0.26 36.88 C9.19 26.01, 18.63 15.15, 31.89 -0.1 M-0.26 36.88 C10.48 24.53, 21.22 12.18, 31.89 -0.1 M-0.12 48.92 C12.47 34.43, 25.07 19.94, 42.52 -0.14 M-0.12 48.92 C15.31 31.17, 30.74 13.42, 42.52 -0.14 M0.01 60.96 C16.95 41.47, 33.9 21.98, 53.15 -0.17 M0.01 60.96 C14.19 44.64, 28.38 28.32, 53.15 -0.17 M4.08 68.47 C26.79 42.35, 49.5 16.22, 63.78 -0.21 M4.08 68.47 C21.89 47.98, 39.71 27.49, 63.78 -0.21 M14.71 68.44 C36.53 43.34, 58.34 18.24, 69.82 5.04 M14.71 68.44 C26.15 55.28, 37.58 42.13, 69.82 5.04 M25.34 68.4 C36.6 55.45, 47.86 42.5, 69.95 17.08 M25.34 68.4 C35.41 56.82, 45.48 45.23, 69.95 17.08 M35.97 68.37 C48.94 53.44, 61.92 38.52, 70.08 29.12 M35.97 68.37 C47.67 54.91, 59.37 41.45, 70.08 29.12 M46.6 68.33 C51.92 62.21, 57.24 56.09, 70.22 41.16 M46.6 68.33 C53.33 60.59, 60.07 52.84, 70.22 41.16 M57.23 68.3 C59.97 65.15, 62.71 61.99, 69.69 53.96 M57.23 68.3 C62.13 62.66, 67.03 57.03, 69.69 53.96 M-0.19 64.24 C-0.19 64.24, -0.19 64.24, -0.19 64.24 M-0.19 64.24 C-0.19 64.24, -0.19 64.24, -0.19 64.24 M11.85 64.1 C8.78 61.43, 5.71 58.77, -0.22 53.61 M11.85 64.1 C8.1 60.84, 4.35 57.58, -0.22 53.61 M24.65 64.63 C18.64 59.41, 12.64 54.19, -0.26 42.98 M24.65 64.63 C15.24 56.45, 5.84 48.27, -0.26 42.98 M36.69 64.49 C25.02 54.35, 13.36 44.21, -0.29 32.35 M36.69 64.49 C22.59 52.23, 8.49 39.98, -0.29 32.35 M48.73 64.36 C32.88 50.58, 17.04 36.81, -0.33 21.72 M48.73 64.36 C38.57 55.53, 28.42 46.7, -0.33 21.72 M60.77 64.23 C46.85 52.12, 32.92 40.02, -0.36 11.09 M60.77 64.23 C41 47.04, 21.23 29.85, -0.36 11.09 M68.28 60.16 C42.21 37.49, 16.13 14.82, 0.36 1.11 M68.28 60.16 C43.79 38.87, 19.3 17.58, 0.36 1.11 M68.25 49.53 C48.75 32.58, 29.25 15.63, 4.85 -5.58 M68.25 49.53 C43.64 28.14, 19.03 6.74, 4.85 -5.58 M68.21 38.9 C50.32 23.34, 32.42 7.78, 16.89 -5.72 M68.21 38.9 C53.15 25.8, 38.09 12.71, 16.89 -5.72 M68.18 28.27 C57.84 19.28, 47.51 10.3, 28.93 -5.85 M68.18 28.27 C57.99 19.41, 47.81 10.56, 28.93 -5.85 M68.15 17.64 C60.62 11.1, 53.1 4.56, 41.73 -5.33 M68.15 17.64 C59.07 9.75, 50 1.86, 41.73 -5.33 M68.11 7.01 C63.87 3.32, 59.62 -0.37, 53.77 -5.46 M68.11 7.01 C63.03 2.59, 57.95 -1.83, 53.77 -5.46" stroke="#fd7e1488" stroke-width="1" fill="none"></path><path d="M0 0 C14.19 0, 28.39 0, 64.46 0 M0 0 C19.47 0, 38.95 0, 64.46 0 M64.46 0 C64.46 16.66, 64.46 33.33, 64.46 64.4 M64.46 0 C64.46 13, 64.46 26.01, 64.46 64.4 M64.46 64.4 C41.63 64.4, 18.8 64.4, 0 64.4 M64.46 64.4 C43.23 64.4, 22.01 64.4, 0 64.4 M0 64.4 C0 49.03, 0 33.66, 0 0 M0 64.4 C0 51.1, 0 37.79, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(563.3010519001953 36.73746578509872) rotate(0 -3.076774099999966 13.448500000000024)"><path d="M0 0 C-2.99 5.99, -5.99 11.98, -12.73 25.47 M0 0 C-3.96 7.92, -7.92 15.84, -12.73 25.47 M-12.73 25.47 C-8.89 25.92, -5.05 26.37, -0.52 26.9 M-12.73 25.47 C-10.16 25.77, -7.6 26.07, -0.52 26.9 M-0.52 26.9 C1.45 23.1, 3.41 19.3, 6.58 13.18 M-0.52 26.9 C1.03 23.91, 2.57 20.93, 6.58 13.18 M6.58 13.18 C5.12 9.94, 3.66 6.7, 0.9 0.56 M6.58 13.18 C5.39 10.55, 4.21 7.91, 0.9 0.56" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(587.7877721001953 52.634465785098655) rotate(0 -12.74628000000007 -11)"><path d="M0 0 C-4.46 -9.67, -8.93 -19.35, -14.96 -32.42 M0 0 C-5.62 -12.18, -11.24 -24.35, -14.96 -32.42 M-14.96 -32.42 C-19.76 -32.62, -24.57 -32.81, -29.17 -33 M-14.96 -32.42 C-19.33 -32.6, -23.7 -32.78, -29.17 -33 M-29.17 -33 C-29.51 -29.7, -29.84 -26.4, -30.18 -23 M-29.17 -33 C-29.43 -30.5, -29.68 -28, -30.18 -23 M-30.18 -23 C-27.58 -22.64, -24.98 -22.29, -22.9 -22 M-30.18 -23 C-27.74 -22.67, -25.31 -22.33, -22.9 -22 M-22.9 -22 C-19.45 -14.56, -16 -7.13, -7.87 10.42 M-22.9 -22 C-18.13 -11.72, -13.37 -1.44, -7.87 10.42 M-7.87 10.42 C-4.91 10.57, -1.95 10.72, 3.69 11 M-7.87 10.42 C-4.92 10.57, -1.98 10.72, 3.69 11 M3.69 11 C4.01 7.82, 4.32 4.64, 4.69 1 M3.69 11 C3.97 8.15, 4.26 5.3, 4.69 1 M4.69 1 C4.45 0.76, 4.21 0.52, 3.69 0 M4.69 1 C4.38 0.7, 4.08 0.39, 3.69 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(948.3414780466178 44.357593515277586) rotate(0 26.578947368421154 27.192307692307736)"><path d="M0 0 C19.44 0, 38.87 0, 53.16 0 M0 0 C14 0, 27.99 0, 53.16 0 M53.16 0 C53.16 11.59, 53.16 23.18, 53.16 54.38 M53.16 0 C53.16 15.89, 53.16 31.77, 53.16 54.38 M53.16 54.38 C33.8 54.38, 14.45 54.38, 0 54.38 M53.16 54.38 C42.27 54.38, 31.38 54.38, 0 54.38 M0 54.38 C0 40.52, 0 26.66, 0 0 M0 54.38 C0 38.77, 0 23.15, 0 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(948.7503849292095 54.98917246264591) rotate(0 26.374493927125513 -0.20445344129552723)"><path d="M0 0 C12.43 -0.1, 24.86 -0.19, 52.75 -0.41 M0 0 C19.52 -0.15, 39.04 -0.3, 52.75 -0.41" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(954.8839881680751 49.46892954766645) rotate(0 1.4311740890688043 0)"><path d="M0 0 C1.03 0, 2.06 0, 2.86 0 M0 0 C0.98 0, 1.96 0, 2.86 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(962.8576723786018 49.46892954766645) rotate(0 1.226720647773277 0)"><path d="M0 0 C0.95 0, 1.9 0, 2.45 0 M0 0 C0.73 0, 1.46 0, 2.45 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(965.924473998035 61.12277570151218) rotate(0 6.746963562753081 0)"><path d="M0 0 C5.01 0, 10.01 0, 13.49 0 M0 0 C3.76 0, 7.52 0, 13.49 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(995.1663768320429 92.39251254361898) rotate(0 -15.747975708502054 -11.846659919028298)"><path d="M0 0 C-7.02 0.05, -14.05 0.1, -31.7 0.22 M0 0 C-10.96 0.07, -21.92 0.15, -31.7 0.22 M-31.7 0.22 C-31.7 -5.47, -31.7 -11.15, -31.7 -23.5 M-31.7 0.22 C-31.7 -7.09, -31.7 -14.4, -31.7 -23.5 M-31.7 -23.5 C-24.39 -23.59, -17.09 -23.69, 0.2 -23.91 M-31.7 -23.5 C-23.03 -23.61, -14.36 -23.72, 0.2 -23.91 M0.2 -23.91 C0.15 -17.63, 0.09 -11.36, 0 0 M0.2 -23.91 C0.16 -18.9, 0.12 -13.9, 0 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(954.4750812854845 69.30091335333509) rotate(0 0 2.6578947368420813)"><path d="M0 0 C0 1.5, 0 2.99, 0 5.32 M0 0 C0 1.88, 0 3.76, 0 5.32" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(954.4750812854845 64.80293764483304) rotate(0 0 -1.8400809716599156)"><path d="M0 0 C0 -1.43, 0 -2.86, 0 -3.68 M0 0 C0 -0.88, 0 -1.76, 0 -3.68" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(954.8839881680747 61.12277570151218) rotate(0 2.453441295546554 0)"><path d="M0 0 C1.17 0, 2.34 0, 4.91 0 M0 0 C1.01 0, 2.03 0, 4.91 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(990.867793836092 64.59848420353683) rotate(0 0 -1.4311740890688043)"><path d="M0 0 C0 -0.73, 0 -1.47, 0 -2.86 M0 0 C0 -0.6, 0 -1.19, 0 -2.86" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(985.9609112449987 61.12277570151218) rotate(0 2.453441295546554 0)"><path d="M0 0 C1.75 0, 3.51 0, 4.91 0 M0 0 C1.64 0, 3.28 0, 4.91 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(954.4750812854845 83.40820080272624) rotate(0 0 -1.8400809716599156)"><path d="M0 0 C0 -0.78, 0 -1.57, 0 -3.68 M0 0 C0 -1.08, 0 -2.15, 0 -3.68" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(954.475081285485 84.02156112661305) rotate(0 2.0445344129554996 0)"><path d="M0 0 C0.9 0, 1.8 0, 4.09 0 M0 0 C1.61 0, 3.21 0, 4.09 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(922.4204254150391 103.00523606950537) rotate(0 52.1199951171875 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Dashboard</text></g><g stroke-linecap="round"><g transform="translate(16.584539087042458 404.0958157600762) rotate(0 13.4375 0)"><path d="M0 0 C5.51 0, 11.01 0, 26.88 0 M0 0 C6.85 0, 13.7 0, 26.88 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(16.584539087042458 439.7208157600762) rotate(0 10.625 0)"><path d="M0 0 C7.06 0, 14.12 0, 21.25 0 M0 0 C5.02 0, 10.03 0, 21.25 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(16.584539087042458 413.4518763661363) rotate(0 6.25 0)"><path d="M0 0 C2.94 0, 5.88 0, 12.5 0 M0 0 C4.19 0, 8.38 0, 12.5 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(16.584539087042458 430.3458157600762) rotate(0 6.25 0)"><path d="M0 0 C4.38 0, 8.75 0, 12.5 0 M0 0 C4.83 0, 9.66 0, 12.5 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(16.584539087042458 422.8458157600762) rotate(0 15.9375 -0.3125)"><path d="M0 0 C12.71 -0.25, 25.42 -0.5, 31.88 -0.63 M0 0 C12.32 -0.24, 24.65 -0.48, 31.88 -0.63" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(37.93302393552722 418.22120046651617) rotate(0 11.576282609266286 3.339618892031183)"><path d="M0 0 C0.51 -0.96, 1.36 -4.34, 3.03 -5.76 C4.7 -7.17, 7.42 -8.38, 10 -8.48 C12.58 -8.59, 16.31 -7.98, 18.48 -6.36 C20.66 -4.75, 22.58 -1.46, 23.03 1.21 C23.48 3.89, 22.63 7.42, 21.21 9.7 C19.8 11.97, 17.17 14.14, 14.55 14.85 C11.92 15.56, 7.83 15.05, 5.45 13.94 C3.08 12.83, 1.16 9.14, 0.3 8.18 M0 0 C0.51 -0.96, 1.36 -4.34, 3.03 -5.76 C4.7 -7.17, 7.42 -8.38, 10 -8.48 C12.58 -8.59, 16.31 -7.98, 18.48 -6.36 C20.66 -4.75, 22.58 -1.46, 23.03 1.21 C23.48 3.89, 22.63 7.42, 21.21 9.7 C19.8 11.97, 17.17 14.14, 14.55 14.85 C11.92 15.56, 7.83 15.05, 5.45 13.94 C3.08 12.83, 1.16 9.14, 0.3 8.18" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(42.62999363249696 418.8398465349255) rotate(0 6.947617738193287 2.7543050183897435)"><path d="M0 0 C0.42 -0.62, 1.4 -2.88, 2.52 -3.69 C3.64 -4.5, 5.28 -4.96, 6.74 -4.87 C8.21 -4.79, 10.13 -4.31, 11.31 -3.18 C12.49 -2.05, 13.59 0.27, 13.83 1.91 C14.08 3.55, 13.54 5.32, 12.79 6.65 C12.04 7.98, 10.87 9.35, 9.35 9.91 C7.84 10.48, 5.25 10.57, 3.7 10.04 C2.15 9.51, 0.65 7.29, 0.04 6.73 M0 0 C0.42 -0.62, 1.4 -2.88, 2.52 -3.69 C3.64 -4.5, 5.28 -4.96, 6.74 -4.87 C8.21 -4.79, 10.13 -4.31, 11.31 -3.18 C12.49 -2.05, 13.59 0.27, 13.83 1.91 C14.08 3.55, 13.54 5.32, 12.79 6.65 C12.04 7.98, 10.87 9.35, 9.35 9.91 C7.84 10.48, 5.25 10.57, 3.7 10.04 C2.15 9.51, 0.65 7.29, 0.04 6.73" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(59.56938757189096 428.22120046651617) rotate(0 1.7967905360932264 5.0100571840750945)"><path d="M0 0 C1.11 1.11, 5.81 5, 6.67 6.67 C7.53 8.33, 6.06 9.8, 5.15 10 C4.24 10.2, 2.63 8.84, 1.21 7.88 C-0.2 6.92, -2.58 4.85, -3.33 4.24 M0 0 C1.11 1.11, 5.81 5, 6.67 6.67 C7.53 8.33, 6.06 9.8, 5.15 10 C4.24 10.2, 2.63 8.84, 1.21 7.88 C-0.2 6.92, -2.58 4.85, -3.33 4.24" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(19.039993632497044 449.26701382470674) rotate(0 21.970001220703125 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Logs</text></g><g transform="translate(27.320419311523438 101.63616747873584) rotate(0 18.220001220703125 12)"><text x="18.220001220703125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC</text></g><g stroke-linecap="round" transform="translate(13 31.726662106047115) rotate(0 32.540420532226506 32.540420532226506)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C2.9 8.86, 5.67 5.67, 10.63 -0.03 M0.13 12.04 C4.16 7.41, 8.19 2.77, 10.63 -0.03 M0.27 24.08 C4.53 19.18, 8.78 14.28, 21.26 -0.07 M0.27 24.08 C5.14 18.48, 10.01 12.88, 21.26 -0.07 M-0.26 36.88 C7.64 27.8, 15.53 18.71, 31.89 -0.1 M-0.26 36.88 C11.61 23.23, 23.47 9.58, 31.89 -0.1 M-0.12 48.92 C11.91 35.07, 23.94 21.23, 42.52 -0.14 M-0.12 48.92 C15.8 30.6, 31.72 12.28, 42.52 -0.14 M0.01 60.96 C13.09 45.91, 26.18 30.86, 53.15 -0.17 M0.01 60.96 C14.97 43.75, 29.93 26.54, 53.15 -0.17 M4.08 68.47 C27.14 41.94, 50.21 15.41, 63.78 -0.21 M4.08 68.47 C25.97 43.29, 47.85 18.11, 63.78 -0.21 M14.71 68.44 C27.99 53.15, 41.28 37.87, 70.47 4.29 M14.71 68.44 C26.76 54.57, 38.82 40.7, 70.47 4.29 M25.34 68.4 C38.57 53.19, 51.79 37.97, 69.95 17.08 M25.34 68.4 C39.19 52.47, 53.05 36.53, 69.95 17.08 M35.97 68.37 C49.15 53.2, 62.34 38.04, 70.08 29.12 M35.97 68.37 C46.23 56.57, 56.49 44.76, 70.08 29.12 M46.6 68.33 C54.54 59.2, 62.47 50.07, 70.22 41.16 M46.6 68.33 C55.73 57.83, 64.87 47.32, 70.22 41.16 M57.23 68.3 C61.79 63.05, 66.36 57.8, 70.35 53.2 M57.23 68.3 C62.42 62.33, 67.62 56.35, 70.35 53.2 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M12.27 65.15 C7.78 61.25, 3.29 57.34, 0.19 54.65 M12.27 65.15 C7.5 61, 2.74 56.86, 0.19 54.65 M24.31 65.01 C19.29 60.65, 14.26 56.28, 0.16 44.02 M24.31 65.01 C17.62 59.2, 10.93 53.38, 0.16 44.02 M36.35 64.88 C21.89 52.31, 7.43 39.74, 0.13 33.39 M36.35 64.88 C24.63 54.69, 12.91 44.5, 0.13 33.39 M49.15 65.4 C34.52 52.68, 19.88 39.96, 0.09 22.76 M49.15 65.4 C31.07 49.69, 13 33.98, 0.09 22.76 M61.19 65.27 C38.93 45.92, 16.67 26.57, 0.06 12.13 M61.19 65.27 C46.42 52.43, 31.64 39.59, 0.06 12.13 M68.7 61.2 C52.67 47.27, 36.64 33.33, 0.02 1.5 M68.7 61.2 C44.87 40.48, 21.03 19.77, 0.02 1.5 M68.67 50.57 C49.92 34.28, 31.18 17.98, 4.52 -5.19 M68.67 50.57 C46.82 31.58, 24.97 12.59, 4.52 -5.19 M68.63 39.94 C50.52 24.19, 32.4 8.44, 16.56 -5.33 M68.63 39.94 C52.57 25.98, 36.51 12.02, 16.56 -5.33 M68.6 29.31 C60.55 22.31, 52.5 15.31, 28.6 -5.46 M68.6 29.31 C58.8 20.79, 48.99 12.27, 28.6 -5.46 M68.56 18.68 C59.92 11.17, 51.27 3.65, 41.39 -4.94 M68.56 18.68 C62.28 13.22, 56 7.76, 41.39 -4.94 M68.53 8.05 C65.49 5.41, 62.44 2.76, 53.43 -5.07 M68.53 8.05 C63.81 3.95, 59.1 -0.15, 53.43 -5.07" stroke="#7950f288" stroke-width="1" fill="none"></path><path d="M0 0 C21.74 0, 43.49 0, 65.08 0 M0 0 C17.73 0, 35.46 0, 65.08 0 M65.08 0 C65.08 14.75, 65.08 29.49, 65.08 65.08 M65.08 0 C65.08 24.68, 65.08 49.35, 65.08 65.08 M65.08 65.08 C45.26 65.08, 25.44 65.08, 0 65.08 M65.08 65.08 C44.04 65.08, 23 65.08, 0 65.08 M0 65.08 C0 50.75, 0 36.43, 0 0 M0 65.08 C0 41.42, 0 17.75, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(72.8085137571461 58.18349980806397) rotate(0 -27.268093224919596 -2.780859411623055)"><path d="M0 0 C-0.41 -0.65, -1.26 -3.01, -2.46 -3.88 C-3.67 -4.75, -6.35 -4.84, -7.23 -5.22 C-8.12 -5.59, -7.52 -5.31, -7.77 -6.12 C-8.03 -6.93, -7.83 -9.1, -8.75 -10.06 C-9.66 -11.02, -11.81 -12.03, -13.25 -11.91 C-14.68 -11.78, -16.6 -9.67, -17.36 -9.31 C-18.12 -8.94, -16.68 -8.54, -17.8 -9.72 C-18.93 -10.91, -21.52 -14.81, -24.11 -16.42 C-26.71 -18.03, -30.37 -19.52, -33.37 -19.39 C-36.36 -19.25, -39.94 -17.82, -42.08 -15.62 C-44.22 -13.42, -45.41 -8.03, -46.21 -6.2 C-47 -4.37, -45.7 -5.57, -46.86 -4.64 C-48.01 -3.71, -51.92 -2.68, -53.15 -0.64 C-54.38 1.39, -54.92 5.24, -54.24 7.55 C-53.55 9.87, -50.93 12.2, -49.04 13.23 C-47.14 14.26, -45.16 13.64, -42.87 13.73 C-40.57 13.83, -37.39 13.82, -35.28 13.81 C-33.17 13.81, -31.04 13.72, -30.19 13.7 M0 0 C-0.41 -0.65, -1.26 -3.01, -2.46 -3.88 C-3.67 -4.75, -6.35 -4.84, -7.23 -5.22 C-8.12 -5.59, -7.52 -5.31, -7.77 -6.12 C-8.03 -6.93, -7.83 -9.1, -8.75 -10.06 C-9.66 -11.02, -11.81 -12.03, -13.25 -11.91 C-14.68 -11.78, -16.6 -9.67, -17.36 -9.31 C-18.12 -8.94, -16.68 -8.54, -17.8 -9.72 C-18.93 -10.91, -21.52 -14.81, -24.11 -16.42 C-26.71 -18.03, -30.37 -19.52, -33.37 -19.39 C-36.36 -19.25, -39.94 -17.82, -42.08 -15.62 C-44.22 -13.42, -45.41 -8.03, -46.21 -6.2 C-47 -4.37, -45.7 -5.57, -46.86 -4.64 C-48.01 -3.71, -51.92 -2.68, -53.15 -0.64 C-54.38 1.39, -54.92 5.24, -54.24 7.55 C-53.55 9.87, -50.93 12.2, -49.04 13.23 C-47.14 14.26, -45.16 13.64, -42.87 13.73 C-40.57 13.83, -37.39 13.82, -35.28 13.81 C-33.17 13.81, -31.04 13.72, -30.19 13.7" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(47.91301296233837 61.36527664628284) rotate(0 12.415346000597594 -2.4830692001195303)"><path d="M0 0 C4.19 -1.77, 8.37 -3.53, 11.76 -4.97 M0 0 C3.45 -1.46, 6.9 -2.91, 11.76 -4.97 M11.76 -4.97 C16.54 -3.15, 21.33 -1.33, 24.83 0 M11.76 -4.97 C14.41 -3.96, 17.06 -2.95, 24.83 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(47.390261551787034 61.51370435391709) rotate(0 12.66704112419643 14.115947053319076)"><path d="M0 0 C0 2.4, -0.04 11.2, 0 14.38 C0.04 17.56, -0.17 17.64, 0.26 19.08 C0.7 20.52, 1.74 21.87, 2.61 23 C3.49 24.13, 4.49 25.18, 5.49 25.88 C6.49 26.57, 7.36 26.79, 8.63 27.18 C9.89 27.58, 11.67 28.19, 13.07 28.23 C14.46 28.27, 15.81 27.88, 16.99 27.44 C18.17 27.01, 19.08 26.57, 20.13 25.61 C21.17 24.66, 22.48 23.18, 23.26 21.69 C24.05 20.21, 24.53 18.03, 24.83 16.73 C25.14 15.42, 25 16.64, 25.09 13.85 C25.18 11.06, 25.31 2.31, 25.35 0 M0 0 C0 2.4, -0.04 11.2, 0 14.38 C0.04 17.56, -0.17 17.64, 0.26 19.08 C0.7 20.52, 1.74 21.87, 2.61 23 C3.49 24.13, 4.49 25.18, 5.49 25.88 C6.49 26.57, 7.36 26.79, 8.63 27.18 C9.89 27.58, 11.67 28.19, 13.07 28.23 C14.46 28.27, 15.81 27.88, 16.99 27.44 C18.17 27.01, 19.08 26.57, 20.13 25.61 C21.17 24.66, 22.48 23.18, 23.26 21.69 C24.05 20.21, 24.53 18.03, 24.83 16.73 C25.14 15.42, 25 16.64, 25.09 13.85 C25.18 11.06, 25.31 2.31, 25.35 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(52.61777565730176 65.43433993305462) rotate(0 7.3185197477207 -1.5682542316544072)"><path d="M0 0 C2.33 -0.96, 4.66 -1.93, 7.58 -3.14 M0 0 C1.92 -0.79, 3.84 -1.59, 7.58 -3.14 M7.58 -3.14 C10.15 -2.19, 12.72 -1.23, 14.64 -0.52 M7.58 -3.14 C9.65 -2.37, 11.72 -1.6, 14.64 -0.52" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(60.19767111029819 84.77614212345998) rotate(0 0 -11.239155326856803)"><path d="M0 0 C0 -7.51, 0 -15.03, 0 -22.48 M0 0 C0 -7.66, 0 -15.32, 0 -22.48" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(59.93629540502252 84.77614212345998) rotate(0 -3.5285720212224874 -9.80158894784023)"><path d="M0 0 C-1.45 -0.39, -2.9 -0.77, -3.92 -1.05 M0 0 C-1.45 -0.39, -2.9 -0.77, -3.92 -1.05 M-3.92 -1.05 C-4.81 -2.01, -5.7 -2.98, -7.06 -4.44 M-3.92 -1.05 C-4.94 -2.15, -5.96 -3.25, -7.06 -4.44 M-7.06 -4.44 C-7.06 -8.45, -7.06 -12.46, -7.06 -19.6 M-7.06 -4.44 C-7.06 -8.29, -7.06 -12.14, -7.06 -19.6" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(60.328358962936136 84.90682997609747) rotate(0 3.5285720212224874 -9.80158894784023)"><path d="M0 0 C1.2 -0.32, 2.4 -0.64, 3.92 -1.05 M0 0 C1.28 -0.34, 2.57 -0.68, 3.92 -1.05 M3.92 -1.05 C5.17 -2.4, 6.43 -3.76, 7.06 -4.44 M3.92 -1.05 C5.09 -2.31, 6.26 -3.58, 7.06 -4.44 M7.06 -4.44 C7.06 -10.28, 7.06 -16.11, 7.06 -19.6 M7.06 -4.44 C7.06 -8.68, 7.06 -12.91, 7.06 -19.6" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(24.320419311523438 221.63616747873584) rotate(0 18.220001220703125 12)"><text x="18.220001220703125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC</text></g><g stroke-linecap="round" transform="translate(10 151.72666210604712) rotate(0 32.540420532226506 32.540420532226506)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C3.52 8.15, 6.91 4.25, 10.63 -0.03 M0.13 12.04 C3.85 7.77, 7.57 3.49, 10.63 -0.03 M0.27 24.08 C6.65 16.74, 13.03 9.4, 21.26 -0.07 M0.27 24.08 C8.51 14.6, 16.75 5.12, 21.26 -0.07 M-0.26 36.88 C11.3 23.58, 22.87 10.28, 31.89 -0.1 M-0.26 36.88 C8.53 26.77, 17.31 16.67, 31.89 -0.1 M-0.12 48.92 C10.68 36.49, 21.48 24.07, 42.52 -0.14 M-0.12 48.92 C14.89 31.65, 29.89 14.39, 42.52 -0.14 M0.01 60.96 C19.45 38.59, 38.89 16.23, 53.15 -0.17 M0.01 60.96 C20.79 37.06, 41.57 13.15, 53.15 -0.17 M4.08 68.47 C26.42 42.77, 48.76 17.07, 63.78 -0.21 M4.08 68.47 C17.81 52.67, 31.55 36.87, 63.78 -0.21 M14.71 68.44 C27.49 53.74, 40.26 39.04, 70.47 4.29 M14.71 68.44 C34.69 45.45, 54.67 22.47, 70.47 4.29 M25.34 68.4 C35.75 56.42, 46.17 44.44, 69.95 17.08 M25.34 68.4 C42.57 48.58, 59.8 28.76, 69.95 17.08 M35.97 68.37 C43.48 59.73, 50.99 51.09, 70.08 29.12 M35.97 68.37 C43.4 59.82, 50.84 51.27, 70.08 29.12 M46.6 68.33 C52.05 62.07, 57.49 55.8, 70.22 41.16 M46.6 68.33 C54.21 59.58, 61.82 50.83, 70.22 41.16 M57.23 68.3 C61.07 63.88, 64.91 59.47, 70.35 53.2 M57.23 68.3 C61.23 63.7, 65.23 59.09, 70.35 53.2 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M12.27 65.15 C7.65 61.13, 3.03 57.12, 0.19 54.65 M12.27 65.15 C8.08 61.5, 3.89 57.86, 0.19 54.65 M24.31 65.01 C19.45 60.79, 14.58 56.56, 0.16 44.02 M24.31 65.01 C18.27 59.76, 12.23 54.52, 0.16 44.02 M36.35 64.88 C25.14 55.14, 13.93 45.39, 0.13 33.39 M36.35 64.88 C23.19 53.44, 10.03 42, 0.13 33.39 M49.15 65.4 C37.45 55.24, 25.76 45.07, 0.09 22.76 M49.15 65.4 C36.59 54.49, 24.03 43.57, 0.09 22.76 M61.19 65.27 C44.37 50.65, 27.55 36.03, 0.06 12.13 M61.19 65.27 C38.84 45.84, 16.49 26.41, 0.06 12.13 M68.7 61.2 C45.35 40.91, 22.01 20.61, 0.02 1.5 M68.7 61.2 C50.18 45.1, 31.65 29, 0.02 1.5 M68.67 50.57 C45.29 30.25, 21.91 9.93, 4.52 -5.19 M68.67 50.57 C52.12 36.19, 35.58 21.81, 4.52 -5.19 M68.63 39.94 C49.37 23.2, 30.12 6.46, 16.56 -5.33 M68.63 39.94 C58.03 30.72, 47.43 21.51, 16.56 -5.33 M68.6 29.31 C58.8 20.79, 49 12.28, 28.6 -5.46 M68.6 29.31 C55.15 17.62, 41.71 5.94, 28.6 -5.46 M68.56 18.68 C62.46 13.38, 56.36 8.08, 41.39 -4.94 M68.56 18.68 C60.08 11.3, 51.59 3.93, 41.39 -4.94 M68.53 8.05 C64.5 4.55, 60.47 1.04, 53.43 -5.07 M68.53 8.05 C62.66 2.95, 56.8 -2.15, 53.43 -5.07" stroke="#7950f288" stroke-width="1" fill="none"></path><path d="M0 0 C13.57 0, 27.15 0, 65.08 0 M0 0 C17.36 0, 34.72 0, 65.08 0 M65.08 0 C65.08 20.71, 65.08 41.43, 65.08 65.08 M65.08 0 C65.08 17.55, 65.08 35.11, 65.08 65.08 M65.08 65.08 C51 65.08, 36.93 65.08, 0 65.08 M65.08 65.08 C45.3 65.08, 25.52 65.08, 0 65.08 M0 65.08 C0 48.84, 0 32.6, 0 0 M0 65.08 C0 47.18, 0 29.28, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(69.8085137571461 178.18349980806397) rotate(0 -27.268093224919596 -2.780859411623055)"><path d="M0 0 C-0.41 -0.65, -1.26 -3.01, -2.46 -3.88 C-3.67 -4.75, -6.35 -4.84, -7.23 -5.22 C-8.12 -5.59, -7.52 -5.31, -7.77 -6.12 C-8.03 -6.93, -7.83 -9.1, -8.75 -10.06 C-9.66 -11.02, -11.81 -12.03, -13.25 -11.91 C-14.68 -11.78, -16.6 -9.67, -17.36 -9.31 C-18.12 -8.94, -16.68 -8.54, -17.8 -9.72 C-18.93 -10.91, -21.52 -14.81, -24.11 -16.42 C-26.71 -18.03, -30.37 -19.52, -33.37 -19.39 C-36.36 -19.25, -39.94 -17.82, -42.08 -15.62 C-44.22 -13.42, -45.41 -8.03, -46.21 -6.2 C-47 -4.37, -45.7 -5.57, -46.86 -4.64 C-48.01 -3.71, -51.92 -2.68, -53.15 -0.64 C-54.38 1.39, -54.92 5.24, -54.24 7.55 C-53.55 9.87, -50.93 12.2, -49.04 13.23 C-47.14 14.26, -45.16 13.64, -42.87 13.73 C-40.57 13.83, -37.39 13.82, -35.28 13.81 C-33.17 13.81, -31.04 13.72, -30.19 13.7 M0 0 C-0.41 -0.65, -1.26 -3.01, -2.46 -3.88 C-3.67 -4.75, -6.35 -4.84, -7.23 -5.22 C-8.12 -5.59, -7.52 -5.31, -7.77 -6.12 C-8.03 -6.93, -7.83 -9.1, -8.75 -10.06 C-9.66 -11.02, -11.81 -12.03, -13.25 -11.91 C-14.68 -11.78, -16.6 -9.67, -17.36 -9.31 C-18.12 -8.94, -16.68 -8.54, -17.8 -9.72 C-18.93 -10.91, -21.52 -14.81, -24.11 -16.42 C-26.71 -18.03, -30.37 -19.52, -33.37 -19.39 C-36.36 -19.25, -39.94 -17.82, -42.08 -15.62 C-44.22 -13.42, -45.41 -8.03, -46.21 -6.2 C-47 -4.37, -45.7 -5.57, -46.86 -4.64 C-48.01 -3.71, -51.92 -2.68, -53.15 -0.64 C-54.38 1.39, -54.92 5.24, -54.24 7.55 C-53.55 9.87, -50.93 12.2, -49.04 13.23 C-47.14 14.26, -45.16 13.64, -42.87 13.73 C-40.57 13.83, -37.39 13.82, -35.28 13.81 C-33.17 13.81, -31.04 13.72, -30.19 13.7" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(44.91301296233837 181.36527664628284) rotate(0 12.415346000597594 -2.4830692001195303)"><path d="M0 0 C3.8 -1.61, 7.61 -3.21, 11.76 -4.97 M0 0 C4.52 -1.91, 9.03 -3.81, 11.76 -4.97 M11.76 -4.97 C16.47 -3.18, 21.19 -1.38, 24.83 0 M11.76 -4.97 C15.78 -3.44, 19.8 -1.91, 24.83 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(44.390261551787034 181.5137043539171) rotate(0 12.66704112419643 14.115947053319076)"><path d="M0 0 C0 2.4, -0.04 11.2, 0 14.38 C0.04 17.56, -0.17 17.64, 0.26 19.08 C0.7 20.52, 1.74 21.87, 2.61 23 C3.49 24.13, 4.49 25.18, 5.49 25.88 C6.49 26.57, 7.36 26.79, 8.63 27.18 C9.89 27.58, 11.67 28.19, 13.07 28.23 C14.46 28.27, 15.81 27.88, 16.99 27.44 C18.17 27.01, 19.08 26.57, 20.13 25.61 C21.17 24.66, 22.48 23.18, 23.26 21.69 C24.05 20.21, 24.53 18.03, 24.83 16.73 C25.14 15.42, 25 16.64, 25.09 13.85 C25.18 11.06, 25.31 2.31, 25.35 0 M0 0 C0 2.4, -0.04 11.2, 0 14.38 C0.04 17.56, -0.17 17.64, 0.26 19.08 C0.7 20.52, 1.74 21.87, 2.61 23 C3.49 24.13, 4.49 25.18, 5.49 25.88 C6.49 26.57, 7.36 26.79, 8.63 27.18 C9.89 27.58, 11.67 28.19, 13.07 28.23 C14.46 28.27, 15.81 27.88, 16.99 27.44 C18.17 27.01, 19.08 26.57, 20.13 25.61 C21.17 24.66, 22.48 23.18, 23.26 21.69 C24.05 20.21, 24.53 18.03, 24.83 16.73 C25.14 15.42, 25 16.64, 25.09 13.85 C25.18 11.06, 25.31 2.31, 25.35 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(49.61777565730176 185.43433993305462) rotate(0 7.3185197477207 -1.5682542316544072)"><path d="M0 0 C2.29 -0.95, 4.58 -1.9, 7.58 -3.14 M0 0 C2.9 -1.2, 5.81 -2.4, 7.58 -3.14 M7.58 -3.14 C10.28 -2.14, 12.98 -1.14, 14.64 -0.52 M7.58 -3.14 C9.22 -2.53, 10.87 -1.92, 14.64 -0.52" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(57.19767111029819 204.77614212345998) rotate(0 0 -11.239155326856803)"><path d="M0 0 C0 -6.68, 0 -13.36, 0 -22.48 M0 0 C0 -8.11, 0 -16.22, 0 -22.48" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(56.93629540502252 204.77614212345998) rotate(0 -3.5285720212224874 -9.80158894784023)"><path d="M0 0 C-0.88 -0.23, -1.76 -0.47, -3.92 -1.05 M0 0 C-1.39 -0.37, -2.78 -0.74, -3.92 -1.05 M-3.92 -1.05 C-5 -2.21, -6.07 -3.37, -7.06 -4.44 M-3.92 -1.05 C-4.92 -2.13, -5.92 -3.21, -7.06 -4.44 M-7.06 -4.44 C-7.06 -9.97, -7.06 -15.51, -7.06 -19.6 M-7.06 -4.44 C-7.06 -10.42, -7.06 -16.4, -7.06 -19.6" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(57.328358962936136 204.90682997609747) rotate(0 3.5285720212224874 -9.80158894784023)"><path d="M0 0 C1.47 -0.39, 2.95 -0.79, 3.92 -1.05 M0 0 C0.79 -0.21, 1.58 -0.42, 3.92 -1.05 M3.92 -1.05 C4.62 -1.8, 5.32 -2.56, 7.06 -4.44 M3.92 -1.05 C4.73 -1.92, 5.53 -2.79, 7.06 -4.44 M7.06 -4.44 C7.06 -8.87, 7.06 -13.29, 7.06 -19.6 M7.06 -4.44 C7.06 -9.55, 7.06 -14.66, 7.06 -19.6" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(24.320419311523438 345.63616747873584) rotate(0 18.220001220703125 12)"><text x="18.220001220703125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC</text></g><g stroke-linecap="round" transform="translate(10 275.7266621060471) rotate(0 32.540420532226506 32.540420532226506)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C4.11 7.46, 8.09 2.89, 10.63 -0.03 M0.13 12.04 C3.9 7.7, 7.67 3.37, 10.63 -0.03 M0.27 24.08 C4.66 19.03, 9.05 13.97, 21.26 -0.07 M0.27 24.08 C6.48 16.93, 12.7 9.78, 21.26 -0.07 M-0.26 36.88 C10.79 24.17, 21.84 11.46, 31.89 -0.1 M-0.26 36.88 C10.06 25.01, 20.37 13.15, 31.89 -0.1 M-0.12 48.92 C11.49 35.56, 23.09 22.21, 42.52 -0.14 M-0.12 48.92 C10.82 36.32, 21.77 23.73, 42.52 -0.14 M0.01 60.96 C11.47 47.77, 22.93 34.59, 53.15 -0.17 M0.01 60.96 C11.71 47.5, 23.4 34.05, 53.15 -0.17 M4.08 68.47 C16.19 54.55, 28.29 40.62, 63.78 -0.21 M4.08 68.47 C21.54 48.39, 39 28.3, 63.78 -0.21 M14.71 68.44 C28.58 52.48, 42.45 36.52, 70.47 4.29 M14.71 68.44 C31.01 49.69, 47.3 30.94, 70.47 4.29 M25.34 68.4 C35.75 56.42, 46.17 44.45, 69.95 17.08 M25.34 68.4 C36.35 55.73, 47.37 43.06, 69.95 17.08 M35.97 68.37 C45.49 57.41, 55.02 46.45, 70.08 29.12 M35.97 68.37 C48.4 54.06, 60.84 39.76, 70.08 29.12 M46.6 68.33 C52.02 62.1, 57.43 55.87, 70.22 41.16 M46.6 68.33 C53.82 60.02, 61.05 51.71, 70.22 41.16 M57.23 68.3 C60.2 64.89, 63.16 61.47, 70.35 53.2 M57.23 68.3 C61.91 62.92, 66.58 57.54, 70.35 53.2 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M12.27 65.15 C7.54 61.04, 2.81 56.92, 0.19 54.65 M12.27 65.15 C7.68 61.16, 3.1 57.18, 0.19 54.65 M24.31 65.01 C16.04 57.82, 7.77 50.63, 0.16 44.02 M24.31 65.01 C14.83 56.77, 5.35 48.53, 0.16 44.02 M36.35 64.88 C23.3 53.53, 10.24 42.18, 0.13 33.39 M36.35 64.88 C27.72 57.38, 19.1 49.88, 0.13 33.39 M49.15 65.4 C36.68 54.56, 24.21 43.73, 0.09 22.76 M49.15 65.4 C39.2 56.76, 29.26 48.11, 0.09 22.76 M61.19 65.27 C42.84 49.32, 24.5 33.38, 0.06 12.13 M61.19 65.27 C41.14 47.84, 21.09 30.42, 0.06 12.13 M68.7 61.2 C46.7 42.08, 24.7 22.95, 0.02 1.5 M68.7 61.2 C49.25 44.3, 29.81 27.39, 0.02 1.5 M68.67 50.57 C51.92 36.01, 35.17 21.45, 4.52 -5.19 M68.67 50.57 C47.03 31.76, 25.4 12.96, 4.52 -5.19 M68.63 39.94 C54.55 27.7, 40.47 15.46, 16.56 -5.33 M68.63 39.94 C56.63 29.5, 44.62 19.07, 16.56 -5.33 M68.6 29.31 C57.53 19.69, 46.47 10.08, 28.6 -5.46 M68.6 29.31 C54.73 17.26, 40.87 5.21, 28.6 -5.46 M68.56 18.68 C61.33 12.39, 54.09 6.1, 41.39 -4.94 M68.56 18.68 C58.13 9.61, 47.7 0.54, 41.39 -4.94 M68.53 8.05 C64.56 4.6, 60.6 1.16, 53.43 -5.07 M68.53 8.05 C63.57 3.74, 58.61 -0.57, 53.43 -5.07" stroke="#7950f288" stroke-width="1" fill="none"></path><path d="M0 0 C19.14 0, 38.28 0, 65.08 0 M0 0 C16.87 0, 33.75 0, 65.08 0 M65.08 0 C65.08 17.71, 65.08 35.42, 65.08 65.08 M65.08 0 C65.08 17.54, 65.08 35.07, 65.08 65.08 M65.08 65.08 C44.21 65.08, 23.34 65.08, 0 65.08 M65.08 65.08 C43.24 65.08, 21.41 65.08, 0 65.08 M0 65.08 C0 42.23, 0 19.38, 0 0 M0 65.08 C0 39.55, 0 14.01, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(69.8085137571461 302.18349980806397) rotate(0 -27.268093224919596 -2.780859411623055)"><path d="M0 0 C-0.41 -0.65, -1.26 -3.01, -2.46 -3.88 C-3.67 -4.75, -6.35 -4.84, -7.23 -5.22 C-8.12 -5.59, -7.52 -5.31, -7.77 -6.12 C-8.03 -6.93, -7.83 -9.1, -8.75 -10.06 C-9.66 -11.02, -11.81 -12.03, -13.25 -11.91 C-14.68 -11.78, -16.6 -9.67, -17.36 -9.31 C-18.12 -8.94, -16.68 -8.54, -17.8 -9.72 C-18.93 -10.91, -21.52 -14.81, -24.11 -16.42 C-26.71 -18.03, -30.37 -19.52, -33.37 -19.39 C-36.36 -19.25, -39.94 -17.82, -42.08 -15.62 C-44.22 -13.42, -45.41 -8.03, -46.21 -6.2 C-47 -4.37, -45.7 -5.57, -46.86 -4.64 C-48.01 -3.71, -51.92 -2.68, -53.15 -0.64 C-54.38 1.39, -54.92 5.24, -54.24 7.55 C-53.55 9.87, -50.93 12.2, -49.04 13.23 C-47.14 14.26, -45.16 13.64, -42.87 13.73 C-40.57 13.83, -37.39 13.82, -35.28 13.81 C-33.17 13.81, -31.04 13.72, -30.19 13.7 M0 0 C-0.41 -0.65, -1.26 -3.01, -2.46 -3.88 C-3.67 -4.75, -6.35 -4.84, -7.23 -5.22 C-8.12 -5.59, -7.52 -5.31, -7.77 -6.12 C-8.03 -6.93, -7.83 -9.1, -8.75 -10.06 C-9.66 -11.02, -11.81 -12.03, -13.25 -11.91 C-14.68 -11.78, -16.6 -9.67, -17.36 -9.31 C-18.12 -8.94, -16.68 -8.54, -17.8 -9.72 C-18.93 -10.91, -21.52 -14.81, -24.11 -16.42 C-26.71 -18.03, -30.37 -19.52, -33.37 -19.39 C-36.36 -19.25, -39.94 -17.82, -42.08 -15.62 C-44.22 -13.42, -45.41 -8.03, -46.21 -6.2 C-47 -4.37, -45.7 -5.57, -46.86 -4.64 C-48.01 -3.71, -51.92 -2.68, -53.15 -0.64 C-54.38 1.39, -54.92 5.24, -54.24 7.55 C-53.55 9.87, -50.93 12.2, -49.04 13.23 C-47.14 14.26, -45.16 13.64, -42.87 13.73 C-40.57 13.83, -37.39 13.82, -35.28 13.81 C-33.17 13.81, -31.04 13.72, -30.19 13.7" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(44.91301296233837 305.36527664628284) rotate(0 12.415346000597594 -2.4830692001195303)"><path d="M0 0 C3.42 -1.44, 6.84 -2.89, 11.76 -4.97 M0 0 C4.32 -1.82, 8.64 -3.65, 11.76 -4.97 M11.76 -4.97 C14.76 -3.83, 17.75 -2.69, 24.83 0 M11.76 -4.97 C15.68 -3.48, 19.6 -1.99, 24.83 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(44.390261551787034 305.5137043539171) rotate(0 12.66704112419643 14.115947053319076)"><path d="M0 0 C0 2.4, -0.04 11.2, 0 14.38 C0.04 17.56, -0.17 17.64, 0.26 19.08 C0.7 20.52, 1.74 21.87, 2.61 23 C3.49 24.13, 4.49 25.18, 5.49 25.88 C6.49 26.57, 7.36 26.79, 8.63 27.18 C9.89 27.58, 11.67 28.19, 13.07 28.23 C14.46 28.27, 15.81 27.88, 16.99 27.44 C18.17 27.01, 19.08 26.57, 20.13 25.61 C21.17 24.66, 22.48 23.18, 23.26 21.69 C24.05 20.21, 24.53 18.03, 24.83 16.73 C25.14 15.42, 25 16.64, 25.09 13.85 C25.18 11.06, 25.31 2.31, 25.35 0 M0 0 C0 2.4, -0.04 11.2, 0 14.38 C0.04 17.56, -0.17 17.64, 0.26 19.08 C0.7 20.52, 1.74 21.87, 2.61 23 C3.49 24.13, 4.49 25.18, 5.49 25.88 C6.49 26.57, 7.36 26.79, 8.63 27.18 C9.89 27.58, 11.67 28.19, 13.07 28.23 C14.46 28.27, 15.81 27.88, 16.99 27.44 C18.17 27.01, 19.08 26.57, 20.13 25.61 C21.17 24.66, 22.48 23.18, 23.26 21.69 C24.05 20.21, 24.53 18.03, 24.83 16.73 C25.14 15.42, 25 16.64, 25.09 13.85 C25.18 11.06, 25.31 2.31, 25.35 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(49.61777565730176 309.4343399330546) rotate(0 7.3185197477207 -1.5682542316544072)"><path d="M0 0 C2.26 -0.94, 4.52 -1.87, 7.58 -3.14 M0 0 C2.89 -1.2, 5.78 -2.39, 7.58 -3.14 M7.58 -3.14 C10.28 -2.14, 12.98 -1.14, 14.64 -0.52 M7.58 -3.14 C10.03 -2.23, 12.48 -1.32, 14.64 -0.52" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(57.19767111029819 328.77614212346) rotate(0 0 -11.239155326856803)"><path d="M0 0 C0 -6.5, 0 -13, 0 -22.48 M0 0 C0 -8.48, 0 -16.95, 0 -22.48" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(56.93629540502252 328.77614212346) rotate(0 -3.5285720212224874 -9.80158894784023)"><path d="M0 0 C-1.05 -0.28, -2.09 -0.56, -3.92 -1.05 M0 0 C-1.45 -0.39, -2.91 -0.78, -3.92 -1.05 M-3.92 -1.05 C-4.75 -1.94, -5.57 -2.83, -7.06 -4.44 M-3.92 -1.05 C-5.06 -2.27, -6.19 -3.5, -7.06 -4.44 M-7.06 -4.44 C-7.06 -8.89, -7.06 -13.33, -7.06 -19.6 M-7.06 -4.44 C-7.06 -9.43, -7.06 -14.42, -7.06 -19.6" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(57.328358962936136 328.90682997609747) rotate(0 3.5285720212224874 -9.80158894784023)"><path d="M0 0 C1.03 -0.28, 2.07 -0.55, 3.92 -1.05 M0 0 C1.14 -0.3, 2.28 -0.61, 3.92 -1.05 M3.92 -1.05 C5.04 -2.26, 6.16 -3.48, 7.06 -4.44 M3.92 -1.05 C4.59 -1.77, 5.25 -2.49, 7.06 -4.44 M7.06 -4.44 C7.06 -9.33, 7.06 -14.21, 7.06 -19.6 M7.06 -4.44 C7.06 -8.77, 7.06 -13.09, 7.06 -19.6" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(307 210.09629249103) rotate(0 32.540420532226506 32.540420532226506)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C2.73 9.06, 5.32 6.08, 10.63 -0.03 M0.13 12.04 C2.3 9.55, 4.47 7.05, 10.63 -0.03 M0.27 24.08 C5.85 17.66, 11.43 11.23, 21.26 -0.07 M0.27 24.08 C4.69 18.99, 9.12 13.89, 21.26 -0.07 M-0.26 36.88 C11.09 23.83, 22.43 10.78, 31.89 -0.1 M-0.26 36.88 C8.82 26.43, 17.9 15.99, 31.89 -0.1 M-0.12 48.92 C9.01 38.41, 18.15 27.9, 42.52 -0.14 M-0.12 48.92 C14.19 32.45, 28.5 15.99, 42.52 -0.14 M0.01 60.96 C13.1 45.9, 26.19 30.84, 53.15 -0.17 M0.01 60.96 C14.31 44.51, 28.61 28.06, 53.15 -0.17 M4.08 68.47 C22.77 46.97, 41.46 25.47, 63.78 -0.21 M4.08 68.47 C24.2 45.33, 44.31 22.19, 63.78 -0.21 M14.71 68.44 C27.2 54.07, 39.69 39.7, 70.47 4.29 M14.71 68.44 C27.04 54.25, 39.38 40.06, 70.47 4.29 M25.34 68.4 C39.3 52.35, 53.25 36.29, 69.95 17.08 M25.34 68.4 C34.4 57.98, 43.46 47.55, 69.95 17.08 M35.97 68.37 C46.72 56, 57.48 43.63, 70.08 29.12 M35.97 68.37 C44.01 59.12, 52.04 49.88, 70.08 29.12 M46.6 68.33 C54.79 58.91, 62.99 49.48, 70.22 41.16 M46.6 68.33 C54.03 59.79, 61.46 51.24, 70.22 41.16 M57.23 68.3 C62.24 62.53, 67.26 56.77, 70.35 53.2 M57.23 68.3 C61.84 63, 66.45 57.69, 70.35 53.2 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M0.23 65.28 C0.23 65.28, 0.23 65.28, 0.23 65.28 M12.27 65.15 C9.62 62.84, 6.97 60.54, 0.19 54.65 M12.27 65.15 C9.25 62.53, 6.24 59.9, 0.19 54.65 M24.31 65.01 C15.5 57.36, 6.7 49.7, 0.16 44.02 M24.31 65.01 C15.71 57.53, 7.1 50.06, 0.16 44.02 M36.35 64.88 C27.1 56.84, 17.86 48.8, 0.13 33.39 M36.35 64.88 C23.52 53.73, 10.7 42.58, 0.13 33.39 M49.15 65.4 C37.92 55.64, 26.69 45.88, 0.09 22.76 M49.15 65.4 C34.03 52.26, 18.91 39.12, 0.09 22.76 M61.19 65.27 C45.91 51.99, 30.62 38.7, 0.06 12.13 M61.19 65.27 C41.01 47.73, 20.84 30.2, 0.06 12.13 M68.7 61.2 C48.9 43.98, 29.09 26.77, 0.02 1.5 M68.7 61.2 C44.72 40.36, 20.75 19.51, 0.02 1.5 M68.67 50.57 C43.2 28.43, 17.73 6.29, 4.52 -5.19 M68.67 50.57 C43.95 29.08, 19.23 7.6, 4.52 -5.19 M68.63 39.94 C53.51 26.79, 38.39 13.65, 16.56 -5.33 M68.63 39.94 C51.95 25.44, 35.26 10.93, 16.56 -5.33 M68.6 29.31 C59.7 21.57, 50.79 13.84, 28.6 -5.46 M68.6 29.31 C53.8 16.45, 39 3.58, 28.6 -5.46 M68.56 18.68 C58.64 10.06, 48.72 1.43, 41.39 -4.94 M68.56 18.68 C61.62 12.64, 54.68 6.61, 41.39 -4.94 M68.53 8.05 C64.22 4.3, 59.91 0.56, 53.43 -5.07 M68.53 8.05 C64.36 4.43, 60.19 0.8, 53.43 -5.07" stroke="#40c05788" stroke-width="1" fill="none"></path><path d="M0 0 C17.1 0, 34.21 0, 65.08 0 M0 0 C25.81 0, 51.63 0, 65.08 0 M65.08 0 C65.08 17.99, 65.08 35.98, 65.08 65.08 M65.08 0 C65.08 24.7, 65.08 49.4, 65.08 65.08 M65.08 65.08 C43.37 65.08, 21.65 65.08, 0 65.08 M65.08 65.08 C39.1 65.08, 13.12 65.08, 0 65.08 M0 65.08 C0 47.82, 0 30.56, 0 0 M0 65.08 C0 43.67, 0 22.26, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(320.61285517765896 221.16338851654564) rotate(0 19.55281575520837 5.376997727614196)"><path d="M39.11 5.38 C39.11 5.69, 39.01 6, 38.81 6.31 C38.61 6.62, 38.31 6.92, 37.93 7.22 C37.54 7.51, 37.05 7.8, 36.49 8.07 C35.92 8.34, 35.26 8.59, 34.53 8.83 C33.8 9.07, 32.99 9.3, 32.12 9.5 C31.25 9.7, 30.31 9.88, 29.33 10.03 C28.35 10.19, 27.3 10.32, 26.24 10.43 C25.18 10.54, 24.06 10.62, 22.95 10.67 C21.83 10.73, 20.68 10.75, 19.55 10.75 C18.42 10.75, 17.27 10.73, 16.16 10.67 C15.04 10.62, 13.93 10.54, 12.87 10.43 C11.8 10.32, 10.76 10.19, 9.78 10.03 C8.8 9.88, 7.85 9.7, 6.98 9.5 C6.12 9.3, 5.3 9.07, 4.57 8.83 C3.85 8.59, 3.19 8.34, 2.62 8.07 C2.05 7.8, 1.57 7.51, 1.18 7.22 C0.79 6.92, 0.49 6.62, 0.3 6.31 C0.1 6, 0 5.69, 0 5.38 C0 5.07, 0.1 4.75, 0.3 4.44 C0.49 4.14, 0.79 3.83, 1.18 3.54 C1.57 3.25, 2.05 2.96, 2.62 2.69 C3.19 2.42, 3.85 2.16, 4.57 1.92 C5.3 1.68, 6.12 1.46, 6.98 1.26 C7.85 1.06, 8.8 0.88, 9.78 0.72 C10.76 0.56, 11.8 0.43, 12.87 0.32 C13.93 0.22, 15.04 0.14, 16.16 0.08 C17.27 0.03, 18.42 0, 19.55 0 C20.68 0, 21.83 0.03, 22.95 0.08 C24.06 0.14, 25.18 0.22, 26.24 0.32 C27.3 0.43, 28.35 0.56, 29.33 0.72 C30.31 0.88, 31.25 1.06, 32.12 1.26 C32.99 1.46, 33.8 1.68, 34.53 1.92 C35.26 2.16, 35.92 2.42, 36.49 2.69 C37.05 2.96, 37.54 3.25, 37.93 3.54 C38.31 3.83, 38.61 4.14, 38.81 4.44 C39.01 4.75, 39.06 5.22, 39.11 5.38 C39.16 5.53, 39.16 5.22, 39.11 5.38" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(320.9707715939253 227.0418565654245) rotate(0 19.147886618589723 20.245521196587333)"><path d="M0 0 C0.64 5.36, 2.72 25.82, 3.85 32.15 C4.97 38.48, 4.02 36.6, 6.77 37.99 C9.52 39.38, 16.05 40.42, 20.35 40.49 C24.64 40.56, 30.03 39.82, 32.54 38.4 C35.04 36.98, 34.41 38.33, 35.37 31.94 C36.33 25.56, 37.81 5.41, 38.3 0.1 M0 0 C0.64 5.36, 2.72 25.82, 3.85 32.15 C4.97 38.48, 4.02 36.6, 6.77 37.99 C9.52 39.38, 16.05 40.42, 20.35 40.49 C24.64 40.56, 30.03 39.82, 32.54 38.4 C35.04 36.98, 34.41 38.33, 35.37 31.94 C36.33 25.56, 37.81 5.41, 38.3 0.1" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(337.74105967986293 237.3043557437968) rotate(0 2.349090576171875 2.349090576171875)"><path d="M4.7 2.35 C4.7 2.49, 4.69 2.62, 4.66 2.76 C4.64 2.89, 4.6 3.02, 4.56 3.15 C4.51 3.28, 4.45 3.41, 4.38 3.52 C4.32 3.64, 4.24 3.75, 4.15 3.86 C4.06 3.96, 3.96 4.06, 3.86 4.15 C3.75 4.24, 3.64 4.32, 3.52 4.38 C3.41 4.45, 3.28 4.51, 3.15 4.56 C3.02 4.6, 2.89 4.64, 2.76 4.66 C2.62 4.69, 2.49 4.7, 2.35 4.7 C2.21 4.7, 2.08 4.69, 1.94 4.66 C1.81 4.64, 1.67 4.6, 1.55 4.56 C1.42 4.51, 1.29 4.45, 1.17 4.38 C1.06 4.32, 0.94 4.24, 0.84 4.15 C0.73 4.06, 0.64 3.96, 0.55 3.86 C0.46 3.75, 0.38 3.64, 0.31 3.52 C0.25 3.41, 0.19 3.28, 0.14 3.15 C0.1 3.02, 0.06 2.89, 0.04 2.76 C0.01 2.62, 0 2.49, 0 2.35 C0 2.21, 0.01 2.08, 0.04 1.94 C0.06 1.81, 0.1 1.67, 0.14 1.55 C0.19 1.42, 0.25 1.29, 0.31 1.17 C0.38 1.06, 0.46 0.94, 0.55 0.84 C0.64 0.73, 0.73 0.64, 0.84 0.55 C0.94 0.46, 1.06 0.38, 1.17 0.31 C1.29 0.25, 1.42 0.19, 1.55 0.14 C1.67 0.1, 1.81 0.06, 1.94 0.04 C2.08 0.01, 2.21 0, 2.35 0 C2.49 0, 2.62 0.01, 2.76 0.04 C2.89 0.06, 3.02 0.1, 3.15 0.14 C3.28 0.19, 3.41 0.25, 3.52 0.31 C3.64 0.38, 3.75 0.46, 3.86 0.55 C3.96 0.64, 4.06 0.73, 4.15 0.84 C4.24 0.94, 4.32 1.06, 4.38 1.17 C4.45 1.29, 4.51 1.42, 4.56 1.55 C4.6 1.67, 4.64 1.81, 4.66 1.94 C4.69 2.08, 4.69 2.28, 4.7 2.35 C4.7 2.42, 4.7 2.28, 4.7 2.35" stroke="none" stroke-width="0" fill="#000"></path><path d="M4.7 2.35 C4.7 2.49, 4.69 2.62, 4.66 2.76 C4.64 2.89, 4.6 3.02, 4.56 3.15 C4.51 3.28, 4.45 3.41, 4.38 3.52 C4.32 3.64, 4.24 3.75, 4.15 3.86 C4.06 3.96, 3.96 4.06, 3.86 4.15 C3.75 4.24, 3.64 4.32, 3.52 4.38 C3.41 4.45, 3.28 4.51, 3.15 4.56 C3.02 4.6, 2.89 4.64, 2.76 4.66 C2.62 4.69, 2.49 4.7, 2.35 4.7 C2.21 4.7, 2.08 4.69, 1.94 4.66 C1.81 4.64, 1.67 4.6, 1.55 4.56 C1.42 4.51, 1.29 4.45, 1.17 4.38 C1.06 4.32, 0.94 4.24, 0.84 4.15 C0.73 4.06, 0.64 3.96, 0.55 3.86 C0.46 3.75, 0.38 3.64, 0.31 3.52 C0.25 3.41, 0.19 3.28, 0.14 3.15 C0.1 3.02, 0.06 2.89, 0.04 2.76 C0.01 2.62, 0 2.49, 0 2.35 C0 2.21, 0.01 2.08, 0.04 1.94 C0.06 1.81, 0.1 1.67, 0.14 1.55 C0.19 1.42, 0.25 1.29, 0.31 1.17 C0.38 1.06, 0.46 0.94, 0.55 0.84 C0.64 0.73, 0.73 0.64, 0.84 0.55 C0.94 0.46, 1.06 0.38, 1.17 0.31 C1.29 0.25, 1.42 0.19, 1.55 0.14 C1.67 0.1, 1.81 0.06, 1.94 0.04 C2.08 0.01, 2.21 0, 2.35 0 C2.49 0, 2.62 0.01, 2.76 0.04 C2.89 0.06, 3.02 0.1, 3.15 0.14 C3.28 0.19, 3.41 0.25, 3.52 0.31 C3.64 0.38, 3.75 0.46, 3.86 0.55 C3.96 0.64, 4.06 0.73, 4.15 0.84 C4.24 0.94, 4.32 1.06, 4.38 1.17 C4.45 1.29, 4.51 1.42, 4.56 1.55 C4.6 1.67, 4.64 1.81, 4.66 1.94 C4.69 2.08, 4.69 2.28, 4.7 2.35 C4.7 2.42, 4.7 2.28, 4.7 2.35" stroke="#000000" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(340.2311780880659 239.87734616127727) rotate(0 11.897452059505156 5.825676060660214)"><path d="M0 0 C1.17 1.24, 4.19 5.51, 7.02 7.44 C9.86 9.36, 14.35 11.08, 17 11.53 C19.66 11.98, 21.88 11.08, 22.92 10.14 C23.96 9.2, 24.07 7.29, 23.25 5.89 C22.42 4.49, 18.84 2.45, 17.96 1.76 M0 0 C1.17 1.24, 4.19 5.51, 7.02 7.44 C9.86 9.36, 14.35 11.08, 17 11.53 C19.66 11.98, 21.88 11.08, 22.92 10.14 C23.96 9.2, 24.07 7.29, 23.25 5.89 C22.42 4.49, 18.84 2.45, 17.96 1.76" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(287.6904182434082 279.26653709375296) rotate(0 51.85000228881836 12)"><text x="51.85000228881836" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">S3 Bucket</text></g><g stroke-linecap="round"><g transform="translate(84.54042053222656 58.66937793148986) rotate(0 108.04098510435847 96.60487737496635)"><path d="M-1.91 -2.66 C50.82 44.11, 92.8 85.95, 216.72 194.62 M-1.26 0.86 C43.23 39.51, 88.48 79.39, 217.99 195.87" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(84.54042053222656 58.66937793148986) rotate(0 108.04098510435847 96.60487737496635)"><path d="M187.59 181.11 C200.1 185.35, 198.55 186.38, 216.27 193.72 M188.45 185.83 C196.31 187.5, 201.78 188.38, 217.97 195.4" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(84.54042053222656 58.66937793148986) rotate(0 108.04098510435847 96.60487737496635)"><path d="M201.3 165.84 C210.84 173.17, 206.29 177.54, 216.27 193.72 M202.16 170.55 C206.87 175.58, 209.49 179.66, 217.97 195.4" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(80.54042053222656 181.2083059911056) rotate(0 112.75349556338392 37.03319002807547)"><path d="M-1.8 3.26 C84.75 22.92, 166.43 49.49, 227.31 72.46 M-1.34 -1.55 C57.36 16.77, 117.4 37.51, 225.22 75.62" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(80.54042053222656 181.2083059911056) rotate(0 112.75349556338392 37.03319002807547)"><path d="M193.07 79.85 C207.81 73.47, 215.69 71.49, 227.98 72.74 M193.63 74.1 C202.29 73.93, 212.56 75.6, 225.49 76.51" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(80.54042053222656 181.2083059911056) rotate(0 112.75349556338392 37.03319002807547)"><path d="M199.88 60.49 C211.79 61.52, 217.12 66.81, 227.98 72.74 M200.43 54.74 C207.34 59.59, 215.87 66.24, 225.49 76.51" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(82.54042053222656 307.76272904878465) rotate(0 109.56735418347853 -24.97091026674599)"><path d="M-1.7 2.89 C81.66 -18.65, 166.6 -37.03, 220.13 -52.83 M-0.18 -0.61 C54.95 -14.71, 109.8 -30.2, 220.83 -52.4" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(82.54042053222656 307.76272904878465) rotate(0 109.56735418347853 -24.97091026674599)"><path d="M193.4 -33.13 C204.65 -42.95, 217.5 -47.3, 220.99 -52.34 M195.17 -37.22 C201.7 -39.48, 207.82 -46.09, 221.81 -51.84" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(82.54042053222656 307.76272904878465) rotate(0 109.56735418347853 -24.97091026674599)"><path d="M189.14 -53.21 C202.13 -55.5, 216.56 -52.36, 220.99 -52.34 M190.91 -57.3 C198.55 -54.59, 205.73 -56.17, 221.81 -51.84" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(68.54042053222656 451.7608455424029) rotate(0 118.00149160691143 -99.69112231739865)"><path d="M-1.47 -1.42 C87.62 -75.38, 171.31 -144.52, 235.68 -198.9 M0.6 0.03 C53.51 -46.56, 110.32 -94.27, 237.47 -199.41" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(68.54042053222656 451.7608455424029) rotate(0 118.00149160691143 -99.69112231739865)"><path d="M220.28 -175.49 C229.4 -186.67, 231.22 -191.7, 235.64 -200.04 M223.16 -173.48 C225.2 -179.32, 231.08 -187.52, 238.13 -200.76" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(68.54042053222656 451.7608455424029) rotate(0 118.00149160691143 -99.69112231739865)"><path d="M207.18 -191.29 C221.06 -196.75, 227.64 -196.02, 235.64 -200.04 M210.06 -189.27 C215.29 -191.49, 224.22 -196.02, 238.13 -200.76" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(338.8563122191782 203.68141479239148) rotate(0 0.4789959134409969 -42.25932586658746)"><path d="M1.25 2.71 C-0.79 -27.75, -1.07 -56.85, 1.33 -84.24 M1.02 1.92 C0.21 -31.47, -1 -60.14, 0.01 -87.23" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(338.8563122191782 203.68141479239148) rotate(0 0.4789959134409969 -42.25932586658746)"><path d="M11.09 -56.17 C6.94 -68.68, 3.75 -79.83, 1.64 -84.47 M10.86 -56.97 C7.84 -69.89, 3.33 -78.22, 0.32 -87.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(338.8563122191782 203.68141479239148) rotate(0 0.4789959134409969 -42.25932586658746)"><path d="M-9.43 -56.49 C-7.29 -68.91, -4.21 -79.96, 1.64 -84.47 M-9.66 -57.28 C-5.56 -70.34, -2.95 -78.56, 0.32 -87.46" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(380.5404205322267 51.22450759434207) rotate(0 75.38871882483357 -1.1398389467194647)"><path d="M-1.29 -0.73 C35.03 -5.19, 74.21 -4.07, 152.06 1.22 M-0.76 0.33 C56.43 0.53, 115.96 -0.11, 150.23 -1.35" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(380.5404205322267 51.22450759434207) rotate(0 75.38871882483357 -1.1398389467194647)"><path d="M121.03 8.9 C127.52 4.06, 136.68 2.55, 151.3 0.07 M121.56 9.96 C131.48 7.16, 143.86 2.39, 149.47 -2.5" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(380.5404205322267 51.22450759434207) rotate(0 75.38871882483357 -1.1398389467194647)"><path d="M120.5 -11.61 C126.76 -11.46, 136.05 -7.97, 151.3 0.07 M121.03 -10.56 C131.36 -5.5, 143.95 -2.41, 149.47 -2.5" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(725.0113166862939 188.5074419919299) rotate(0 52.54859667738299 -17.46898911697167)" fill-rule="evenodd"><path d="M0 0 L82.45 0 L84.14 -0.05 L85.81 -0.19 L87.45 -0.43 L89.06 -0.75 L90.63 -1.16 L92.18 -1.66 L93.68 -2.24 L95.14 -2.9 L96.56 -3.63 L97.94 -4.44 L99.26 -5.31 L100.54 -6.26 L101.76 -7.27 L102.93 -8.34 L105.1 -10.67 L102.89 -13.37 L100.54 -15.95 L98.05 -18.39 L95.43 -20.69 L92.68 -22.84 L89.82 -24.83 L86.83 -26.67 L83.74 -28.34 L80.55 -29.83 L77.26 -31.15 L73.88 -32.28 L70.42 -33.22 L66.88 -33.96 L63.27 -34.5 L59.59 -34.83 L55.86 -34.94 L53.57 -34.9 L51.3 -34.77 L46.82 -34.29 L42.45 -33.49 L38.19 -32.39 L34.05 -31 L30.05 -29.34 L26.2 -27.41 L22.5 -25.23 L18.98 -22.8 L15.63 -20.14 L12.48 -17.27 L9.53 -14.18 L6.79 -10.9 L4.29 -7.44 L2.02 -3.8 L0 0" stroke="none" stroke-width="0" fill="#F0BF1A" fill-rule="evenodd"></path><path d="M0 0 C29.61 0, 59.23 0, 82.45 0 M0 0 C29.85 0, 59.69 0, 82.45 0 M82.45 0 C83.06 -0.02, 83.66 -0.03, 84.14 -0.05 M82.45 0 C83.02 -0.02, 83.59 -0.03, 84.14 -0.05 M84.14 -0.05 C84.81 -0.11, 85.47 -0.16, 85.81 -0.19 M84.14 -0.05 C84.68 -0.09, 85.22 -0.14, 85.81 -0.19 M85.81 -0.19 C86.15 -0.24, 86.48 -0.29, 87.45 -0.43 M85.81 -0.19 C86.38 -0.27, 86.95 -0.36, 87.45 -0.43 M87.45 -0.43 C87.83 -0.5, 88.21 -0.58, 89.06 -0.75 M87.45 -0.43 C88.06 -0.55, 88.68 -0.68, 89.06 -0.75 M89.06 -0.75 C89.45 -0.86, 89.85 -0.96, 90.63 -1.16 M89.06 -0.75 C89.55 -0.88, 90.04 -1.01, 90.63 -1.16 M90.63 -1.16 C91.24 -1.36, 91.84 -1.55, 92.18 -1.66 M90.63 -1.16 C90.98 -1.28, 91.32 -1.39, 92.18 -1.66 M92.18 -1.66 C92.73 -1.87, 93.27 -2.08, 93.68 -2.24 M92.18 -1.66 C92.7 -1.86, 93.23 -2.07, 93.68 -2.24 M93.68 -2.24 C94.14 -2.45, 94.61 -2.66, 95.14 -2.9 M93.68 -2.24 C94.22 -2.48, 94.76 -2.73, 95.14 -2.9 M95.14 -2.9 C95.44 -3.05, 95.73 -3.2, 96.56 -3.63 M95.14 -2.9 C95.66 -3.16, 96.18 -3.43, 96.56 -3.63 M96.56 -3.63 C96.97 -3.87, 97.38 -4.11, 97.94 -4.44 M96.56 -3.63 C96.96 -3.87, 97.37 -4.1, 97.94 -4.44 M97.94 -4.44 C98.35 -4.71, 98.77 -4.99, 99.26 -5.31 M97.94 -4.44 C98.41 -4.75, 98.89 -5.07, 99.26 -5.31 M99.26 -5.31 C99.71 -5.64, 100.15 -5.97, 100.54 -6.26 M99.26 -5.31 C99.64 -5.6, 100.03 -5.88, 100.54 -6.26 M100.54 -6.26 C100.79 -6.47, 101.04 -6.68, 101.76 -7.27 M100.54 -6.26 C100.94 -6.59, 101.35 -6.93, 101.76 -7.27 M101.76 -7.27 C102.13 -7.61, 102.5 -7.95, 102.93 -8.34 M101.76 -7.27 C102.05 -7.53, 102.33 -7.79, 102.93 -8.34 M102.93 -8.34 C103.55 -9.01, 104.17 -9.67, 105.1 -10.67 M102.93 -8.34 C103.7 -9.17, 104.47 -10, 105.1 -10.67 M105.1 -10.67 C104.24 -11.72, 103.39 -12.77, 102.89 -13.37 M105.1 -10.67 C104.63 -11.24, 104.17 -11.81, 102.89 -13.37 M102.89 -13.37 C102.09 -14.25, 101.3 -15.13, 100.54 -15.95 M102.89 -13.37 C102.15 -14.19, 101.4 -15.01, 100.54 -15.95 M100.54 -15.95 C99.6 -16.87, 98.66 -17.79, 98.05 -18.39 M100.54 -15.95 C99.93 -16.55, 99.32 -17.15, 98.05 -18.39 M98.05 -18.39 C97.43 -18.94, 96.81 -19.48, 95.43 -20.69 M98.05 -18.39 C97.05 -19.27, 96.04 -20.16, 95.43 -20.69 M95.43 -20.69 C94.79 -21.19, 94.15 -21.69, 92.68 -22.84 M95.43 -20.69 C94.82 -21.17, 94.21 -21.65, 92.68 -22.84 M92.68 -22.84 C92.02 -23.3, 91.35 -23.76, 89.82 -24.83 M92.68 -22.84 C91.77 -23.47, 90.86 -24.1, 89.82 -24.83 M89.82 -24.83 C88.81 -25.45, 87.81 -26.07, 86.83 -26.67 M89.82 -24.83 C88.73 -25.5, 87.64 -26.17, 86.83 -26.67 M86.83 -26.67 C86.04 -27.1, 85.24 -27.53, 83.74 -28.34 M86.83 -26.67 C85.69 -27.29, 84.54 -27.91, 83.74 -28.34 M83.74 -28.34 C82.47 -28.93, 81.2 -29.53, 80.55 -29.83 M83.74 -28.34 C82.68 -28.83, 81.63 -29.33, 80.55 -29.83 M80.55 -29.83 C79.79 -30.14, 79.03 -30.44, 77.26 -31.15 M80.55 -29.83 C79.26 -30.35, 77.97 -30.86, 77.26 -31.15 M77.26 -31.15 C76.02 -31.57, 74.77 -31.98, 73.88 -32.28 M77.26 -31.15 C76.15 -31.52, 75.04 -31.89, 73.88 -32.28 M73.88 -32.28 C72.66 -32.61, 71.45 -32.94, 70.42 -33.22 M73.88 -32.28 C72.79 -32.58, 71.69 -32.87, 70.42 -33.22 M70.42 -33.22 C69.27 -33.46, 68.13 -33.7, 66.88 -33.96 M70.42 -33.22 C69.7 -33.37, 68.99 -33.52, 66.88 -33.96 M66.88 -33.96 C66.14 -34.07, 65.4 -34.18, 63.27 -34.5 M66.88 -33.96 C65.88 -34.11, 64.89 -34.26, 63.27 -34.5 M63.27 -34.5 C61.88 -34.62, 60.5 -34.75, 59.59 -34.83 M63.27 -34.5 C62.01 -34.61, 60.75 -34.72, 59.59 -34.83 M59.59 -34.83 C58.64 -34.86, 57.68 -34.88, 55.86 -34.94 M59.59 -34.83 C58.5 -34.86, 57.4 -34.89, 55.86 -34.94 M55.86 -34.94 C55 -34.92, 54.14 -34.91, 53.57 -34.9 M55.86 -34.94 C54.99 -34.92, 54.12 -34.91, 53.57 -34.9 M53.57 -34.9 C52.76 -34.85, 51.96 -34.81, 51.3 -34.77 M53.57 -34.9 C52.7 -34.85, 51.83 -34.8, 51.3 -34.77 M51.3 -34.77 C49.54 -34.58, 47.79 -34.39, 46.82 -34.29 M51.3 -34.77 C50.01 -34.63, 48.72 -34.49, 46.82 -34.29 M46.82 -34.29 C45.81 -34.1, 44.8 -33.92, 42.45 -33.49 M46.82 -34.29 C45.72 -34.08, 44.61 -33.88, 42.45 -33.49 M42.45 -33.49 C41.42 -33.22, 40.39 -32.95, 38.19 -32.39 M42.45 -33.49 C41.24 -33.17, 40.04 -32.86, 38.19 -32.39 M38.19 -32.39 C37.36 -32.11, 36.53 -31.83, 34.05 -31 M38.19 -32.39 C37.36 -32.11, 36.52 -31.83, 34.05 -31 M34.05 -31 C32.59 -30.39, 31.12 -29.78, 30.05 -29.34 M34.05 -31 C32.76 -30.46, 31.47 -29.93, 30.05 -29.34 M30.05 -29.34 C29.05 -28.83, 28.04 -28.33, 26.2 -27.41 M30.05 -29.34 C29.2 -28.91, 28.35 -28.49, 26.2 -27.41 M26.2 -27.41 C24.93 -26.66, 23.66 -25.91, 22.5 -25.23 M26.2 -27.41 C25.44 -26.96, 24.68 -26.51, 22.5 -25.23 M22.5 -25.23 C21.12 -24.28, 19.75 -23.33, 18.98 -22.8 M22.5 -25.23 C21.47 -24.51, 20.43 -23.8, 18.98 -22.8 M18.98 -22.8 C17.71 -21.79, 16.44 -20.79, 15.63 -20.14 M18.98 -22.8 C18.05 -22.07, 17.13 -21.34, 15.63 -20.14 M15.63 -20.14 C14.83 -19.41, 14.03 -18.68, 12.48 -17.27 M15.63 -20.14 C14.7 -19.29, 13.77 -18.45, 12.48 -17.27 M12.48 -17.27 C11.84 -16.6, 11.2 -15.93, 9.53 -14.18 M12.48 -17.27 C11.54 -16.29, 10.61 -15.32, 9.53 -14.18 M9.53 -14.18 C8.72 -13.21, 7.91 -12.24, 6.79 -10.9 M9.53 -14.18 C8.72 -13.22, 7.92 -12.25, 6.79 -10.9 M6.79 -10.9 C6.21 -10.1, 5.63 -9.3, 4.29 -7.44 M6.79 -10.9 C6.16 -10.03, 5.52 -9.15, 4.29 -7.44 M4.29 -7.44 C3.73 -6.54, 3.17 -5.65, 2.02 -3.8 M4.29 -7.44 C3.72 -6.52, 3.14 -5.61, 2.02 -3.8 M2.02 -3.8 C1.35 -2.55, 0.69 -1.29, 0 0 M2.02 -3.8 C1.5 -2.82, 0.98 -1.84, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(800.4761355030578 198.21253266072267) rotate(0 -32.12325765160301 17.46898965159545)" fill-rule="evenodd"><path d="M0 0 L-79.21 0 L-80.28 4.21 L-81.07 8.54 L-81.55 12.96 L-81.67 15.2 L-81.72 17.47 L-81.67 19.73 L-81.55 21.98 L-81.07 26.4 L-80.28 30.72 L-79.21 34.94 L0 34.94 L1.76 34.85 L3.48 34.59 L5.14 34.16 L6.74 33.57 L8.27 32.84 L9.71 31.97 L11.06 30.97 L12.3 29.84 L13.44 28.6 L14.45 27.26 L15.33 25.82 L16.08 24.29 L16.67 22.68 L17.11 21.01 L17.38 19.26 L17.47 17.47 L17.38 15.67 L17.12 13.93 L16.69 12.25 L16.1 10.65 L15.37 9.12 L14.5 7.68 L13.5 6.33 L12.37 5.1 L11.14 3.97 L9.79 2.97 L8.35 2.1 L6.82 1.36 L5.22 0.78 L3.54 0.35 L1.8 0.09 L0 0" stroke="none" stroke-width="0" fill="#07A5DE" fill-rule="evenodd"></path><path d="M0 0 C-27.08 0, -54.17 0, -79.21 0 M0 0 C-30 0, -60.01 0, -79.21 0 M-79.21 0 C-79.5 1.14, -79.79 2.28, -80.28 4.21 M-79.21 0 C-79.58 1.45, -79.95 2.9, -80.28 4.21 M-80.28 4.21 C-80.56 5.73, -80.83 7.24, -81.07 8.54 M-80.28 4.21 C-80.46 5.2, -80.64 6.18, -81.07 8.54 M-81.07 8.54 C-81.2 9.76, -81.34 10.98, -81.55 12.96 M-81.07 8.54 C-81.22 9.88, -81.36 11.22, -81.55 12.96 M-81.55 12.96 C-81.58 13.43, -81.6 13.9, -81.67 15.2 M-81.55 12.96 C-81.59 13.65, -81.63 14.35, -81.67 15.2 M-81.67 15.2 C-81.68 15.76, -81.69 16.31, -81.72 17.47 M-81.67 15.2 C-81.69 15.93, -81.7 16.65, -81.72 17.47 M-81.72 17.47 C-81.7 18.37, -81.68 19.27, -81.67 19.73 M-81.72 17.47 C-81.7 18.17, -81.69 18.87, -81.67 19.73 M-81.67 19.73 C-81.64 20.37, -81.61 21.01, -81.55 21.98 M-81.67 19.73 C-81.65 20.27, -81.62 20.8, -81.55 21.98 M-81.55 21.98 C-81.42 23.23, -81.28 24.48, -81.07 26.4 M-81.55 21.98 C-81.45 22.88, -81.36 23.78, -81.07 26.4 M-81.07 26.4 C-80.89 27.42, -80.7 28.43, -80.28 30.72 M-81.07 26.4 C-80.8 27.86, -80.54 29.33, -80.28 30.72 M-80.28 30.72 C-80.06 31.6, -79.84 32.47, -79.21 34.94 M-80.28 30.72 C-79.9 32.24, -79.51 33.76, -79.21 34.94 M-79.21 34.94 C-49.54 34.94, -19.87 34.94, 0 34.94 M-79.21 34.94 C-59.26 34.94, -39.31 34.94, 0 34.94 M0 34.94 C0.7 34.9, 1.41 34.87, 1.76 34.85 M0 34.94 C0.42 34.92, 0.84 34.9, 1.76 34.85 M1.76 34.85 C2.29 34.77, 2.83 34.69, 3.48 34.59 M1.76 34.85 C2.18 34.78, 2.61 34.72, 3.48 34.59 M3.48 34.59 C3.93 34.47, 4.39 34.35, 5.14 34.16 M3.48 34.59 C3.96 34.46, 4.44 34.34, 5.14 34.16 M5.14 34.16 C5.59 33.99, 6.03 33.83, 6.74 33.57 M5.14 34.16 C5.67 33.97, 6.2 33.77, 6.74 33.57 M6.74 33.57 C7.23 33.34, 7.71 33.11, 8.27 32.84 M6.74 33.57 C7.13 33.38, 7.53 33.2, 8.27 32.84 M8.27 32.84 C8.64 32.62, 9.01 32.39, 9.71 31.97 M8.27 32.84 C8.78 32.53, 9.3 32.22, 9.71 31.97 M9.71 31.97 C10 31.75, 10.29 31.54, 11.06 30.97 M9.71 31.97 C10.09 31.69, 10.47 31.4, 11.06 30.97 M11.06 30.97 C11.37 30.69, 11.68 30.41, 12.3 29.84 M11.06 30.97 C11.46 30.6, 11.87 30.24, 12.3 29.84 M12.3 29.84 C12.67 29.44, 13.04 29.04, 13.44 28.6 M12.3 29.84 C12.75 29.36, 13.19 28.87, 13.44 28.6 M13.44 28.6 C13.84 28.07, 14.24 27.54, 14.45 27.26 M13.44 28.6 C13.71 28.24, 13.98 27.88, 14.45 27.26 M14.45 27.26 C14.79 26.71, 15.13 26.15, 15.33 25.82 M14.45 27.26 C14.63 26.97, 14.81 26.67, 15.33 25.82 M15.33 25.82 C15.53 25.42, 15.73 25.01, 16.08 24.29 M15.33 25.82 C15.61 25.25, 15.88 24.69, 16.08 24.29 M16.08 24.29 C16.21 23.93, 16.34 23.57, 16.67 22.68 M16.08 24.29 C16.22 23.91, 16.36 23.53, 16.67 22.68 M16.67 22.68 C16.83 22.08, 16.99 21.47, 17.11 21.01 M16.67 22.68 C16.78 22.27, 16.89 21.85, 17.11 21.01 M17.11 21.01 C17.18 20.57, 17.24 20.13, 17.38 19.26 M17.11 21.01 C17.21 20.32, 17.32 19.63, 17.38 19.26 M17.38 19.26 C17.4 18.86, 17.42 18.45, 17.47 17.47 M17.38 19.26 C17.4 18.78, 17.43 18.29, 17.47 17.47 M17.47 17.47 C17.44 16.83, 17.41 16.19, 17.38 15.67 M17.47 17.47 C17.44 16.98, 17.42 16.49, 17.38 15.67 M17.38 15.67 C17.29 15.1, 17.21 14.53, 17.12 13.93 M17.38 15.67 C17.32 15.25, 17.25 14.83, 17.12 13.93 M17.12 13.93 C17.03 13.57, 16.93 13.21, 16.69 12.25 M17.12 13.93 C17.01 13.5, 16.89 13.06, 16.69 12.25 M16.69 12.25 C16.48 11.67, 16.26 11.08, 16.1 10.65 M16.69 12.25 C16.51 11.76, 16.33 11.26, 16.1 10.65 M16.1 10.65 C15.83 10.07, 15.55 9.49, 15.37 9.12 M16.1 10.65 C15.93 10.27, 15.75 9.9, 15.37 9.12 M15.37 9.12 C15.04 8.57, 14.71 8.03, 14.5 7.68 M15.37 9.12 C15.14 8.74, 14.91 8.36, 14.5 7.68 M14.5 7.68 C14.11 7.15, 13.71 6.62, 13.5 6.33 M14.5 7.68 C14.21 7.28, 13.92 6.89, 13.5 6.33 M13.5 6.33 C13.24 6.04, 12.97 5.75, 12.37 5.1 M13.5 6.33 C13.23 6.04, 12.96 5.74, 12.37 5.1 M12.37 5.1 C12.03 4.78, 11.69 4.47, 11.14 3.97 M12.37 5.1 C11.91 4.67, 11.44 4.25, 11.14 3.97 M11.14 3.97 C10.69 3.64, 10.24 3.3, 9.79 2.97 M11.14 3.97 C10.86 3.76, 10.57 3.55, 9.79 2.97 M9.79 2.97 C9.45 2.76, 9.12 2.56, 8.35 2.1 M9.79 2.97 C9.43 2.75, 9.07 2.53, 8.35 2.1 M8.35 2.1 C7.88 1.87, 7.41 1.64, 6.82 1.36 M8.35 2.1 C7.91 1.88, 7.46 1.67, 6.82 1.36 M6.82 1.36 C6.25 1.16, 5.67 0.95, 5.22 0.78 M6.82 1.36 C6.23 1.15, 5.63 0.93, 5.22 0.78 M5.22 0.78 C4.66 0.64, 4.1 0.5, 3.54 0.35 M5.22 0.78 C4.8 0.67, 4.39 0.57, 3.54 0.35 M3.54 0.35 C2.99 0.27, 2.44 0.19, 1.8 0.09 M3.54 0.35 C2.88 0.25, 2.23 0.15, 1.8 0.09 M1.8 0.09 C1.08 0.05, 0.37 0.02, 0 0 M1.8 0.09 C1.12 0.06, 0.45 0.02, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(830.320429950053 253.25663775067346) rotate(0 -52.65449138355518 7.067735099772165)" fill-rule="evenodd"><path d="M0 0 L-2.15 -2.27 L-4.53 -4.31 L-5.79 -5.23 L-7.11 -6.09 L-8.48 -6.87 L-9.88 -7.59 L-11.34 -8.22 L-12.83 -8.79 L-14.35 -9.27 L-15.92 -9.67 L-17.51 -9.99 L-19.14 -10.22 L-20.79 -10.35 L-22.47 -10.4 L-105.31 -10.4 L-103.29 -6.6 L-101.02 -2.96 L-98.51 0.5 L-95.78 3.78 L-92.83 6.87 L-89.68 9.74 L-86.33 12.4 L-82.81 14.82 L-79.11 17.01 L-75.26 18.94 L-71.26 20.6 L-67.12 21.99 L-62.86 23.08 L-58.49 23.88 L-54.01 24.37 L-51.74 24.5 L-49.45 24.54 L-45.69 24.42 L-42 24.09 L-38.36 23.55 L-34.8 22.8 L-31.32 21.85 L-27.93 20.7 L-24.62 19.37 L-21.41 17.86 L-18.31 16.17 L-15.31 14.31 L-12.43 12.3 L-9.67 10.12 L-7.05 7.8 L-4.55 5.33 L-2.2 2.73 L0 0" stroke="none" stroke-width="0" fill="#3EBEB0" fill-rule="evenodd"></path><path d="M0 0 C-0.86 -0.91, -1.71 -1.81, -2.15 -2.27 M0 0 C-0.74 -0.78, -1.48 -1.56, -2.15 -2.27 M-2.15 -2.27 C-2.67 -2.71, -3.18 -3.16, -4.53 -4.31 M-2.15 -2.27 C-2.75 -2.79, -3.35 -3.3, -4.53 -4.31 M-4.53 -4.31 C-4.99 -4.64, -5.45 -4.98, -5.79 -5.23 M-4.53 -4.31 C-5 -4.65, -5.47 -5, -5.79 -5.23 M-5.79 -5.23 C-6.2 -5.5, -6.61 -5.76, -7.11 -6.09 M-5.79 -5.23 C-6.3 -5.56, -6.8 -5.88, -7.11 -6.09 M-7.11 -6.09 C-7.41 -6.26, -7.71 -6.43, -8.48 -6.87 M-7.11 -6.09 C-7.42 -6.26, -7.73 -6.44, -8.48 -6.87 M-8.48 -6.87 C-8.94 -7.11, -9.4 -7.34, -9.88 -7.59 M-8.48 -6.87 C-8.92 -7.1, -9.37 -7.32, -9.88 -7.59 M-9.88 -7.59 C-10.22 -7.73, -10.55 -7.88, -11.34 -8.22 M-9.88 -7.59 C-10.42 -7.82, -10.96 -8.06, -11.34 -8.22 M-11.34 -8.22 C-11.7 -8.36, -12.06 -8.5, -12.83 -8.79 M-11.34 -8.22 C-11.64 -8.34, -11.94 -8.45, -12.83 -8.79 M-12.83 -8.79 C-13.28 -8.93, -13.73 -9.07, -14.35 -9.27 M-12.83 -8.79 C-13.44 -8.98, -14.04 -9.17, -14.35 -9.27 M-14.35 -9.27 C-14.83 -9.39, -15.31 -9.51, -15.92 -9.67 M-14.35 -9.27 C-14.78 -9.38, -15.21 -9.49, -15.92 -9.67 M-15.92 -9.67 C-16.31 -9.75, -16.71 -9.83, -17.51 -9.99 M-15.92 -9.67 C-16.49 -9.78, -17.06 -9.9, -17.51 -9.99 M-17.51 -9.99 C-18.08 -10.07, -18.65 -10.15, -19.14 -10.22 M-17.51 -9.99 C-18.1 -10.07, -18.68 -10.15, -19.14 -10.22 M-19.14 -10.22 C-19.72 -10.26, -20.31 -10.31, -20.79 -10.35 M-19.14 -10.22 C-19.53 -10.25, -19.92 -10.28, -20.79 -10.35 M-20.79 -10.35 C-21.3 -10.37, -21.8 -10.38, -22.47 -10.4 M-20.79 -10.35 C-21.42 -10.37, -22.05 -10.39, -22.47 -10.4 M-22.47 -10.4 C-40.01 -10.4, -57.56 -10.4, -105.31 -10.4 M-22.47 -10.4 C-43.88 -10.4, -65.3 -10.4, -105.31 -10.4 M-105.31 -10.4 C-104.79 -9.42, -104.26 -8.43, -103.29 -6.6 M-105.31 -10.4 C-104.83 -9.51, -104.36 -8.61, -103.29 -6.6 M-103.29 -6.6 C-102.72 -5.69, -102.15 -4.78, -101.02 -2.96 M-103.29 -6.6 C-102.39 -5.16, -101.49 -3.72, -101.02 -2.96 M-101.02 -2.96 C-100.5 -2.25, -99.99 -1.53, -98.51 0.5 M-101.02 -2.96 C-100.16 -1.77, -99.3 -0.58, -98.51 0.5 M-98.51 0.5 C-97.87 1.27, -97.23 2.04, -95.78 3.78 M-98.51 0.5 C-97.8 1.36, -97.08 2.22, -95.78 3.78 M-95.78 3.78 C-94.86 4.75, -93.94 5.71, -92.83 6.87 M-95.78 3.78 C-94.91 4.69, -94.04 5.6, -92.83 6.87 M-92.83 6.87 C-91.69 7.9, -90.56 8.94, -89.68 9.74 M-92.83 6.87 C-92.17 7.47, -91.5 8.08, -89.68 9.74 M-89.68 9.74 C-88.92 10.35, -88.16 10.95, -86.33 12.4 M-89.68 9.74 C-88.41 10.75, -87.14 11.76, -86.33 12.4 M-86.33 12.4 C-85.07 13.27, -83.81 14.14, -82.81 14.82 M-86.33 12.4 C-85.49 12.98, -84.65 13.56, -82.81 14.82 M-82.81 14.82 C-81.39 15.66, -79.97 16.5, -79.11 17.01 M-82.81 14.82 C-81.79 15.42, -80.77 16.02, -79.11 17.01 M-79.11 17.01 C-77.61 17.76, -76.11 18.51, -75.26 18.94 M-79.11 17.01 C-78.01 17.56, -76.91 18.11, -75.26 18.94 M-75.26 18.94 C-74.06 19.43, -72.87 19.93, -71.26 20.6 M-75.26 18.94 C-73.83 19.53, -72.4 20.12, -71.26 20.6 M-71.26 20.6 C-69.81 21.08, -68.37 21.57, -67.12 21.99 M-71.26 20.6 C-69.88 21.06, -68.51 21.52, -67.12 21.99 M-67.12 21.99 C-65.97 22.28, -64.82 22.58, -62.86 23.08 M-67.12 21.99 C-65.47 22.41, -63.81 22.84, -62.86 23.08 M-62.86 23.08 C-61.27 23.38, -59.68 23.67, -58.49 23.88 M-62.86 23.08 C-61.54 23.33, -60.22 23.57, -58.49 23.88 M-58.49 23.88 C-57.23 24.02, -55.98 24.16, -54.01 24.37 M-58.49 23.88 C-57.47 23.99, -56.46 24.1, -54.01 24.37 M-54.01 24.37 C-53.34 24.41, -52.67 24.44, -51.74 24.5 M-54.01 24.37 C-53.19 24.42, -52.38 24.46, -51.74 24.5 M-51.74 24.5 C-51.07 24.51, -50.39 24.52, -49.45 24.54 M-51.74 24.5 C-51.01 24.51, -50.27 24.52, -49.45 24.54 M-49.45 24.54 C-48.55 24.51, -47.66 24.48, -45.69 24.42 M-49.45 24.54 C-48.64 24.51, -47.83 24.49, -45.69 24.42 M-45.69 24.42 C-44.37 24.31, -43.05 24.19, -42 24.09 M-45.69 24.42 C-44.91 24.35, -44.12 24.28, -42 24.09 M-42 24.09 C-41.21 23.98, -40.42 23.86, -38.36 23.55 M-42 24.09 C-41.21 23.98, -40.42 23.86, -38.36 23.55 M-38.36 23.55 C-37.29 23.32, -36.22 23.1, -34.8 22.8 M-38.36 23.55 C-37.53 23.37, -36.69 23.2, -34.8 22.8 M-34.8 22.8 C-33.79 22.52, -32.78 22.25, -31.32 21.85 M-34.8 22.8 C-33.91 22.56, -33.02 22.31, -31.32 21.85 M-31.32 21.85 C-30.51 21.57, -29.7 21.3, -27.93 20.7 M-31.32 21.85 C-30.59 21.6, -29.86 21.36, -27.93 20.7 M-27.93 20.7 C-27.09 20.37, -26.26 20.03, -24.62 19.37 M-27.93 20.7 C-27.03 20.34, -26.14 19.99, -24.62 19.37 M-24.62 19.37 C-23.77 18.97, -22.91 18.57, -21.41 17.86 M-24.62 19.37 C-23.43 18.81, -22.25 18.25, -21.41 17.86 M-21.41 17.86 C-20.4 17.31, -19.39 16.76, -18.31 16.17 M-21.41 17.86 C-20.38 17.3, -19.35 16.74, -18.31 16.17 M-18.31 16.17 C-17.23 15.5, -16.15 14.83, -15.31 14.31 M-18.31 16.17 C-17.68 15.78, -17.05 15.39, -15.31 14.31 M-15.31 14.31 C-14.54 13.77, -13.77 13.24, -12.43 12.3 M-15.31 14.31 C-14.26 13.58, -13.22 12.85, -12.43 12.3 M-12.43 12.3 C-11.65 11.68, -10.87 11.06, -9.67 10.12 M-12.43 12.3 C-11.78 11.78, -11.13 11.27, -9.67 10.12 M-9.67 10.12 C-8.97 9.5, -8.26 8.87, -7.05 7.8 M-9.67 10.12 C-9.09 9.6, -8.5 9.08, -7.05 7.8 M-7.05 7.8 C-6.35 7.11, -5.65 6.42, -4.55 5.33 M-7.05 7.8 C-6.44 7.2, -5.83 6.59, -4.55 5.33 M-4.55 5.33 C-3.96 4.68, -3.36 4.02, -2.2 2.73 M-4.55 5.33 C-4.05 4.77, -3.54 4.21, -2.2 2.73 M-2.2 2.73 C-1.37 1.7, -0.54 0.67, 0 0 M-2.2 2.73 C-1.71 2.13, -1.22 1.52, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(721.2684691423738 198.21253266072267) rotate(0 25.733383657070817 17.46898965159545)" fill-rule="evenodd"><path d="M0 0 L-1.08 4.21 L-1.86 8.54 L-2.34 12.96 L-2.47 15.2 L-2.51 17.47 L-2.47 19.73 L-2.34 21.98 L-1.86 26.4 L-1.08 30.72 L0 34.94 L51.84 34.94 L52.75 30.9 L53.42 26.64 L53.66 24.43 L53.83 22.16 L53.94 19.84 L53.97 17.47 L53.94 15.09 L53.83 12.77 L53.66 10.51 L53.42 8.3 L52.75 4.04 L51.84 0 L0 0" stroke="none" stroke-width="0" fill="#231F20" fill-rule="evenodd"></path><path d="M0 0 C-0.27 1.04, -0.53 2.08, -1.08 4.21 M0 0 C-0.3 1.17, -0.6 2.34, -1.08 4.21 M-1.08 4.21 C-1.24 5.11, -1.4 6.01, -1.86 8.54 M-1.08 4.21 C-1.37 5.81, -1.66 7.4, -1.86 8.54 M-1.86 8.54 C-2.03 10.11, -2.2 11.68, -2.34 12.96 M-1.86 8.54 C-2.06 10.31, -2.25 12.07, -2.34 12.96 M-2.34 12.96 C-2.37 13.48, -2.4 14, -2.47 15.2 M-2.34 12.96 C-2.38 13.62, -2.42 14.27, -2.47 15.2 M-2.47 15.2 C-2.48 15.69, -2.48 16.17, -2.51 17.47 M-2.47 15.2 C-2.48 16.02, -2.5 16.84, -2.51 17.47 M-2.51 17.47 C-2.49 18.33, -2.48 19.19, -2.47 19.73 M-2.51 17.47 C-2.49 18.33, -2.48 19.2, -2.47 19.73 M-2.47 19.73 C-2.43 20.41, -2.39 21.08, -2.34 21.98 M-2.47 19.73 C-2.42 20.57, -2.38 21.4, -2.34 21.98 M-2.34 21.98 C-2.2 23.34, -2.05 24.7, -1.86 26.4 M-2.34 21.98 C-2.22 23.09, -2.1 24.21, -1.86 26.4 M-1.86 26.4 C-1.64 27.6, -1.43 28.8, -1.08 30.72 M-1.86 26.4 C-1.68 27.4, -1.5 28.4, -1.08 30.72 M-1.08 30.72 C-0.75 32.02, -0.42 33.31, 0 34.94 M-1.08 30.72 C-0.79 31.84, -0.5 32.96, 0 34.94 M0 34.94 C15 34.94, 29.99 34.94, 51.84 34.94 M0 34.94 C12.34 34.94, 24.67 34.94, 51.84 34.94 M51.84 34.94 C52.2 33.33, 52.56 31.72, 52.75 30.9 M51.84 34.94 C52.04 34.02, 52.25 33.11, 52.75 30.9 M52.75 30.9 C52.92 29.78, 53.1 28.67, 53.42 26.64 M52.75 30.9 C52.93 29.72, 53.12 28.54, 53.42 26.64 M53.42 26.64 C53.47 26.11, 53.53 25.58, 53.66 24.43 M53.42 26.64 C53.48 26.03, 53.55 25.41, 53.66 24.43 M53.66 24.43 C53.69 23.97, 53.73 23.5, 53.83 22.16 M53.66 24.43 C53.71 23.69, 53.77 22.94, 53.83 22.16 M53.83 22.16 C53.86 21.66, 53.88 21.15, 53.94 19.84 M53.83 22.16 C53.85 21.68, 53.88 21.19, 53.94 19.84 M53.94 19.84 C53.95 19.1, 53.96 18.36, 53.97 17.47 M53.94 19.84 C53.95 18.99, 53.96 18.13, 53.97 17.47 M53.97 17.47 C53.96 16.62, 53.95 15.77, 53.94 15.09 M53.97 17.47 C53.96 16.64, 53.95 15.81, 53.94 15.09 M53.94 15.09 C53.91 14.5, 53.88 13.9, 53.83 12.77 M53.94 15.09 C53.91 14.54, 53.89 13.98, 53.83 12.77 M53.83 12.77 C53.8 12.3, 53.76 11.82, 53.66 10.51 M53.83 12.77 C53.78 12.16, 53.74 11.55, 53.66 10.51 M53.66 10.51 C53.59 9.85, 53.51 9.18, 53.42 8.3 M53.66 10.51 C53.6 10.02, 53.55 9.54, 53.42 8.3 M53.42 8.3 C53.17 6.75, 52.93 5.19, 52.75 4.04 M53.42 8.3 C53.23 7.08, 53.03 5.87, 52.75 4.04 M52.75 4.04 C52.4 2.5, 52.06 0.96, 51.84 0 M52.75 4.04 C52.52 3.03, 52.3 2.03, 51.84 0 M51.84 0 C34.25 0, 16.65 0, 0 0 M51.84 0 C33.6 0, 15.36 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(749.6223858774956 161.91578484125762) rotate(0 -1.7470523610616056 13.295936629886455)" fill-rule="evenodd"><path d="M0 0 L-3.85 2.47 L-7.51 5.22 L-10.97 8.23 L-14.22 11.48 L-17.23 14.95 L-19.98 18.64 L-21.26 20.56 L-22.46 22.53 L-23.59 24.54 L-24.65 26.59 L21.16 26.59 L19.28 22.67 L17.17 18.92 L14.82 15.33 L12.25 11.91 L9.47 8.67 L6.5 5.6 L3.34 2.71 L0 0" stroke="none" stroke-width="0" fill="#D7A229" fill-rule="evenodd"></path><path d="M0 0 C-1.31 0.84, -2.62 1.69, -3.85 2.47 M0 0 C-0.8 0.51, -1.6 1.03, -3.85 2.47 M-3.85 2.47 C-4.65 3.07, -5.45 3.68, -7.51 5.22 M-3.85 2.47 C-5.06 3.38, -6.27 4.29, -7.51 5.22 M-7.51 5.22 C-8.64 6.2, -9.78 7.19, -10.97 8.23 M-7.51 5.22 C-8.55 6.12, -9.58 7.02, -10.97 8.23 M-10.97 8.23 C-11.91 9.16, -12.84 10.1, -14.22 11.48 M-10.97 8.23 C-11.7 8.95, -12.42 9.67, -14.22 11.48 M-14.22 11.48 C-15.38 12.82, -16.54 14.17, -17.23 14.95 M-14.22 11.48 C-14.89 12.26, -15.57 13.03, -17.23 14.95 M-17.23 14.95 C-18.2 16.25, -19.17 17.55, -19.98 18.64 M-17.23 14.95 C-17.79 15.71, -18.35 16.46, -19.98 18.64 M-19.98 18.64 C-20.28 19.09, -20.58 19.54, -21.26 20.56 M-19.98 18.64 C-20.39 19.25, -20.79 19.86, -21.26 20.56 M-21.26 20.56 C-21.71 21.31, -22.17 22.06, -22.46 22.53 M-21.26 20.56 C-21.67 21.24, -22.09 21.92, -22.46 22.53 M-22.46 22.53 C-22.82 23.16, -23.18 23.8, -23.59 24.54 M-22.46 22.53 C-22.87 23.25, -23.28 23.98, -23.59 24.54 M-23.59 24.54 C-23.94 25.2, -24.28 25.87, -24.65 26.59 M-23.59 24.54 C-23.92 25.17, -24.24 25.8, -24.65 26.59 M-24.65 26.59 C-10.13 26.59, 4.39 26.59, 21.16 26.59 M-24.65 26.59 C-12.26 26.59, 0.12 26.59, 21.16 26.59 M21.16 26.59 C20.75 25.73, 20.33 24.87, 19.28 22.67 M21.16 26.59 C20.7 25.63, 20.24 24.67, 19.28 22.67 M19.28 22.67 C18.76 21.74, 18.24 20.81, 17.17 18.92 M19.28 22.67 C18.84 21.88, 18.39 21.09, 17.17 18.92 M17.17 18.92 C16.5 17.9, 15.84 16.88, 14.82 15.33 M17.17 18.92 C16.46 17.83, 15.74 16.74, 14.82 15.33 M14.82 15.33 C13.91 14.11, 12.99 12.9, 12.25 11.91 M14.82 15.33 C14.09 14.35, 13.35 13.38, 12.25 11.91 M12.25 11.91 C11.65 11.21, 11.05 10.51, 9.47 8.67 M12.25 11.91 C11.36 10.87, 10.47 9.83, 9.47 8.67 M9.47 8.67 C8.82 7.99, 8.17 7.32, 6.5 5.6 M9.47 8.67 C8.75 7.92, 8.03 7.18, 6.5 5.6 M6.5 5.6 C5.55 4.73, 4.59 3.86, 3.34 2.71 M6.5 5.6 C5.46 4.65, 4.42 3.7, 3.34 2.71 M3.34 2.71 C2.49 2.03, 1.65 1.34, 0 0 M3.34 2.71 C2.1 1.71, 0.86 0.7, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(751.5634046762052 270.4177018564367) rotate(0 -3.0086422252335296 -13.781180939703233)" fill-rule="evenodd"><path d="M0 0 L3.26 -2.8 L6.35 -5.81 L9.26 -9.01 L11.96 -12.4 L14.46 -15.96 L16.73 -19.68 L18.77 -23.55 L20.57 -27.56 L-26.59 -27.56 L-25.46 -25.4 L-24.25 -23.29 L-22.96 -21.23 L-21.59 -19.22 L-20.15 -17.26 L-18.64 -15.36 L-17.06 -13.52 L-15.41 -11.74 L-13.69 -10.03 L-11.91 -8.38 L-10.07 -6.8 L-8.17 -5.29 L-6.21 -3.85 L-4.19 -2.49 L-2.12 -1.21 L0 0" stroke="none" stroke-width="0" fill="#019B8F" fill-rule="evenodd"></path><path d="M0 0 C1.2 -1.03, 2.39 -2.05, 3.26 -2.8 M0 0 C1.09 -0.93, 2.17 -1.86, 3.26 -2.8 M3.26 -2.8 C4.45 -3.96, 5.64 -5.11, 6.35 -5.81 M3.26 -2.8 C4.42 -3.93, 5.58 -5.06, 6.35 -5.81 M6.35 -5.81 C7.15 -6.68, 7.94 -7.56, 9.26 -9.01 M6.35 -5.81 C7.45 -7.02, 8.55 -8.23, 9.26 -9.01 M9.26 -9.01 C9.9 -9.81, 10.53 -10.61, 11.96 -12.4 M9.26 -9.01 C10.05 -10.01, 10.85 -11, 11.96 -12.4 M11.96 -12.4 C12.65 -13.38, 13.33 -14.35, 14.46 -15.96 M11.96 -12.4 C12.95 -13.81, 13.95 -15.23, 14.46 -15.96 M14.46 -15.96 C15.06 -16.95, 15.67 -17.95, 16.73 -19.68 M14.46 -15.96 C15.28 -17.3, 16.1 -18.65, 16.73 -19.68 M16.73 -19.68 C17.44 -21.02, 18.15 -22.37, 18.77 -23.55 M16.73 -19.68 C17.19 -20.56, 17.66 -21.43, 18.77 -23.55 M18.77 -23.55 C19.46 -25.08, 20.15 -26.62, 20.57 -27.56 M18.77 -23.55 C19.27 -24.65, 19.76 -25.74, 20.57 -27.56 M20.57 -27.56 C4.04 -27.56, -12.5 -27.56, -26.59 -27.56 M20.57 -27.56 C1.99 -27.56, -16.6 -27.56, -26.59 -27.56 M-26.59 -27.56 C-26.34 -27.09, -26.09 -26.61, -25.46 -25.4 M-26.59 -27.56 C-26.18 -26.77, -25.76 -25.98, -25.46 -25.4 M-25.46 -25.4 C-25.06 -24.71, -24.66 -24.02, -24.25 -23.29 M-25.46 -25.4 C-25.19 -24.93, -24.92 -24.47, -24.25 -23.29 M-24.25 -23.29 C-23.92 -22.77, -23.59 -22.24, -22.96 -21.23 M-24.25 -23.29 C-23.83 -22.63, -23.42 -21.97, -22.96 -21.23 M-22.96 -21.23 C-22.68 -20.82, -22.4 -20.41, -21.59 -19.22 M-22.96 -21.23 C-22.52 -20.58, -22.08 -19.93, -21.59 -19.22 M-21.59 -19.22 C-21.18 -18.66, -20.77 -18.1, -20.15 -17.26 M-21.59 -19.22 C-21.22 -18.71, -20.85 -18.21, -20.15 -17.26 M-20.15 -17.26 C-19.72 -16.71, -19.28 -16.17, -18.64 -15.36 M-20.15 -17.26 C-19.7 -16.69, -19.24 -16.12, -18.64 -15.36 M-18.64 -15.36 C-18.08 -14.71, -17.52 -14.06, -17.06 -13.52 M-18.64 -15.36 C-18.26 -14.92, -17.87 -14.47, -17.06 -13.52 M-17.06 -13.52 C-16.45 -12.86, -15.84 -12.21, -15.41 -11.74 M-17.06 -13.52 C-16.63 -13.07, -16.21 -12.61, -15.41 -11.74 M-15.41 -11.74 C-15.01 -11.35, -14.62 -10.96, -13.69 -10.03 M-15.41 -11.74 C-14.76 -11.09, -14.11 -10.44, -13.69 -10.03 M-13.69 -10.03 C-13.29 -9.66, -12.9 -9.29, -11.91 -8.38 M-13.69 -10.03 C-13.2 -9.57, -12.7 -9.11, -11.91 -8.38 M-11.91 -8.38 C-11.34 -7.89, -10.76 -7.39, -10.07 -6.8 M-11.91 -8.38 C-11.32 -7.88, -10.74 -7.37, -10.07 -6.8 M-10.07 -6.8 C-9.49 -6.34, -8.91 -5.88, -8.17 -5.29 M-10.07 -6.8 C-9.41 -6.28, -8.75 -5.75, -8.17 -5.29 M-8.17 -5.29 C-7.5 -4.8, -6.83 -4.31, -6.21 -3.85 M-8.17 -5.29 C-7.48 -4.79, -6.8 -4.28, -6.21 -3.85 M-6.21 -3.85 C-5.69 -3.5, -5.17 -3.15, -4.19 -2.49 M-6.21 -3.85 C-5.73 -3.53, -5.25 -3.21, -4.19 -2.49 M-4.19 -2.49 C-3.61 -2.13, -3.03 -1.77, -2.12 -1.21 M-4.19 -2.49 C-3.56 -2.1, -2.92 -1.7, -2.12 -1.21 M-2.12 -1.21 C-1.28 -0.72, -0.43 -0.24, 0 0 M-2.12 -1.21 C-1.66 -0.94, -1.2 -0.68, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(940.8545809061334 346.243553809006) rotate(0 42.68583962609307 10.252974667278352)" fill-rule="evenodd"><path d="M0 0 L11.28 0.73 L22.15 2.82 L32.51 6.18 L42.27 10.67 L87.05 -43.1 L-1.67 -43.1 L-1.67 63.61 L-1.67 0 L0 0" stroke="none" stroke-width="0" fill="#e9478b" fill-rule="evenodd"></path><path d="M0 0 C3.05 0.2, 6.1 0.39, 11.28 0.73 M0 0 C3.89 0.25, 7.77 0.5, 11.28 0.73 M11.28 0.73 C15.08 1.46, 18.88 2.19, 22.15 2.82 M11.28 0.73 C13.75 1.2, 16.22 1.68, 22.15 2.82 M22.15 2.82 C25.02 3.75, 27.88 4.68, 32.51 6.18 M22.15 2.82 C25.29 3.84, 28.43 4.86, 32.51 6.18 M32.51 6.18 C34.55 7.12, 36.58 8.05, 42.27 10.67 M32.51 6.18 C35.54 7.57, 38.56 8.96, 42.27 10.67 M42.27 10.67 C53.2 -2.46, 64.13 -15.59, 87.05 -43.1 M42.27 10.67 C56.58 -6.52, 70.89 -23.7, 87.05 -43.1 M87.05 -43.1 C51.68 -43.1, 16.31 -43.1, -1.67 -43.1 M87.05 -43.1 C59.53 -43.1, 32.01 -43.1, -1.67 -43.1 M-1.67 -43.1 C-1.67 -12.89, -1.67 17.33, -1.67 63.61 M-1.67 -43.1 C-1.67 -17.84, -1.67 7.42, -1.67 63.61 M-1.67 63.61 C-1.67 45.62, -1.67 27.62, -1.67 0 M-1.67 63.61 C-1.67 50.62, -1.67 37.64, -1.67 0 M-1.67 0 C-1.28 0, -0.89 0, 0 0 M-1.67 0 C-1.11 0, -0.54 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(983.1219303042085 356.9150187043017) rotate(0 0.313865675504303 30.654291467283997)" fill-rule="evenodd"><path d="M0 0 L-43.94 52.94 L-43.94 61.31 L44.57 61.31 L42.15 51.62 L38.69 42.37 L34.27 33.63 L28.95 25.48 L22.8 17.96 L15.88 11.17 L8.26 5.16 L0 0" stroke="none" stroke-width="0" fill="#3ebeb0" fill-rule="evenodd"></path><path d="M0 0 C-9.55 11.5, -19.09 23, -43.94 52.94 M0 0 C-11.09 13.36, -22.17 26.71, -43.94 52.94 M-43.94 52.94 C-43.94 56, -43.94 59.05, -43.94 61.31 M-43.94 52.94 C-43.94 56.06, -43.94 59.18, -43.94 61.31 M-43.94 61.31 C-16.39 61.31, 11.17 61.31, 44.57 61.31 M-43.94 61.31 C-10.21 61.31, 23.51 61.31, 44.57 61.31 M44.57 61.31 C44.04 59.18, 43.5 57.04, 42.15 51.62 M44.57 61.31 C44.02 59.09, 43.46 56.88, 42.15 51.62 M42.15 51.62 C41.01 48.57, 39.87 45.52, 38.69 42.37 M42.15 51.62 C41.05 48.69, 39.96 45.75, 38.69 42.37 M38.69 42.37 C37.68 40.36, 36.66 38.35, 34.27 33.63 M38.69 42.37 C37.06 39.14, 35.42 35.91, 34.27 33.63 M34.27 33.63 C32.98 31.65, 31.69 29.67, 28.95 25.48 M34.27 33.63 C33.19 31.98, 32.11 30.32, 28.95 25.48 M28.95 25.48 C27.13 23.25, 25.31 21.03, 22.8 17.96 M28.95 25.48 C26.5 22.48, 24.05 19.48, 22.8 17.96 M22.8 17.96 C20.69 15.89, 18.58 13.82, 15.88 11.17 M22.8 17.96 C20.9 16.1, 19 14.23, 15.88 11.17 M15.88 11.17 C13.98 9.67, 12.08 8.17, 8.26 5.16 M15.88 11.17 C13.14 9.01, 10.41 6.85, 8.26 5.16 M8.26 5.16 C5.36 3.35, 2.46 1.53, 0 0 M8.26 5.16 C5.29 3.31, 2.33 1.45, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(983.1219303042085 356.9150187043017) rotate(0 -14.751722667871604 30.654291467283997)" fill-rule="evenodd"><path d="M0 0 L-43.94 52.94 L-43.94 61.31 L-28.25 61.31 L14.44 9.83 L12.48 8.32 L10.29 6.66 L7.53 4.6 L2.67 1.52 L0.77 0.43" stroke="none" stroke-width="0" fill="#37a595" fill-rule="evenodd"></path><path d="M0 0 C-9.11 10.98, -18.23 21.96, -43.94 52.94 M0 0 C-16.18 19.49, -32.36 38.99, -43.94 52.94 M-43.94 52.94 C-43.94 55.91, -43.94 58.88, -43.94 61.31 M-43.94 52.94 C-43.94 56.29, -43.94 59.63, -43.94 61.31 M-43.94 61.31 C-40.29 61.31, -36.64 61.31, -28.25 61.31 M-43.94 61.31 C-39.35 61.31, -34.75 61.31, -28.25 61.31 M-28.25 61.31 C-19.13 50.31, -10.01 39.32, 14.44 9.83 M-28.25 61.31 C-12.86 42.75, 2.53 24.2, 14.44 9.83 M14.44 9.83 C13.69 9.26, 12.95 8.68, 12.48 8.32 M14.44 9.83 C13.69 9.26, 12.94 8.68, 12.48 8.32 M12.48 8.32 C11.82 7.82, 11.16 7.32, 10.29 6.66 M12.48 8.32 C11.67 7.7, 10.86 7.09, 10.29 6.66 M10.29 6.66 C9.44 6.02, 8.59 5.39, 7.53 4.6 M10.29 6.66 C9.59 6.14, 8.9 5.62, 7.53 4.6 M7.53 4.6 C6.18 3.75, 4.83 2.89, 2.67 1.52 M7.53 4.6 C6.41 3.89, 5.28 3.18, 2.67 1.52 M2.67 1.52 C2.08 1.18, 1.5 0.85, 0.77 0.43 M2.67 1.52 C2.16 1.23, 1.66 0.94, 0.77 0.43 M0.77 0.43 C0.54 0.3, 0.32 0.18, 0 0 M0.77 0.43 C0.58 0.32, 0.4 0.22, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(940.8545809061334 346.243553809006) rotate(0 20.29669623851032 31.80513759882473)" fill-rule="evenodd"><path d="M0 0 L-1.67 0 L-1.67 63.61 L42.27 10.67 L32.51 6.18 L22.15 2.82 L11.28 0.73 L0 0" stroke="none" stroke-width="0" fill="#353535" fill-rule="evenodd"></path><path d="M0 0 C-0.37 0, -0.73 0, -1.67 0 M0 0 C-0.55 0, -1.11 0, -1.67 0 M-1.67 0 C-1.67 20.84, -1.67 41.68, -1.67 63.61 M-1.67 0 C-1.67 19.02, -1.67 38.04, -1.67 63.61 M-1.67 63.61 C10.99 48.36, 23.64 33.11, 42.27 10.67 M-1.67 63.61 C8.12 51.81, 17.91 40.02, 42.27 10.67 M42.27 10.67 C38.5 8.93, 34.73 7.2, 32.51 6.18 M42.27 10.67 C40.08 9.67, 37.9 8.66, 32.51 6.18 M32.51 6.18 C28.87 5, 25.22 3.82, 22.15 2.82 M32.51 6.18 C30.4 5.49, 28.28 4.81, 22.15 2.82 M22.15 2.82 C19.61 2.33, 17.07 1.84, 11.28 0.73 M22.15 2.82 C18.69 2.16, 15.23 1.49, 11.28 0.73 M11.28 0.73 C6.99 0.45, 2.7 0.17, 0 0 M11.28 0.73 C7.39 0.48, 3.49 0.22, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(610.5404205322266 54.68141479239148) rotate(0 81.05377840530127 50.11995898652822)"><path d="M1.55 3.78 C37.21 3.1, 69.7 4.4, 163.36 6.31 M-1.25 -0.44 C45.57 2.39, 93.18 4.78, 160.75 6.09 M160.03 6.41 C162.62 28.09, 160.31 52.86, 159.95 100.68 M158.82 8.89 C157.07 31.78, 158.13 58.28, 158.16 100.37" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(610.5404205322266 54.68141479239148) rotate(0 81.05377840530127 50.11995898652822)"><path d="M149.29 76.02 C153.29 78.48, 154.02 84.05, 161.53 98.68 M146.48 71.8 C150.21 81.68, 154.47 89.9, 158.91 98.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(610.5404205322266 54.68141479239148) rotate(0 81.05377840530127 50.11995898652822)"><path d="M169.81 75.9 C169.46 78.23, 165.83 83.83, 161.53 98.68 M167 71.68 C164.78 81.76, 163.1 90.02, 158.91 98.46" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(572.371955303857 80.68141479239148) rotate(0 -1.2992668975775814 55.45185490325099)"><path d="M-3.7 0.01 C4.65 26.81, -2.52 58.15, 0.71 110.89 M0.51 1.86 C0.24 26.22, -2.41 50.44, 1.1 109.99" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(572.371955303857 80.68141479239148) rotate(0 -1.2992668975775814 55.45185490325099)"><path d="M-13.93 82.23 C-3.92 88.05, -8.11 98.61, 2.39 109.88 M-9.72 84.07 C-6.4 89.87, -6.4 95.51, 2.78 108.99" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(572.371955303857 80.68141479239148) rotate(0 -1.2992668975775814 55.45185490325099)"><path d="M6.57 81.44 C11.48 87.8, 2.17 98.55, 2.39 109.88 M10.79 83.29 C9.52 89.23, 4.94 95.04, 2.78 108.99" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(526.5404205322266 214.20107283414427) rotate(0 -73.3930040473092 -73.61170557170362)"><path d="M1.82 2.07 C-54.46 -50.03, -105.5 -101.5, -146.91 -149.29 M-0.09 1.47 C-53.7 -53.97, -107.2 -105.13, -148.61 -147.82" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(526.5404205322266 214.20107283414427) rotate(0 -73.3930040473092 -73.61170557170362)"><path d="M-119.42 -132.67 C-134.42 -137.52, -143.2 -142.28, -146.86 -150.09 M-121.58 -133.35 C-130.84 -140.94, -141.59 -144.45, -148.78 -148.42" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(526.5404205322266 214.20107283414427) rotate(0 -73.3930040473092 -73.61170557170362)"><path d="M-134 -118.23 C-143.9 -128.02, -147.61 -137.81, -146.86 -150.09 M-136.16 -118.9 C-140.44 -131.51, -146.03 -140.13, -148.78 -148.42" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(887.8504180908203 271.6814147923915) rotate(0 68.69000244140625 12.5)"><text x="68.69000244140625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Ad-hoc search</text></g><g transform="translate(642.5104217529297 28.68141479239148) rotate(0 52.029998779296875 12.5)"><text x="52.029998779296875" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">ingest logs</text></g><g transform="translate(712.6504135131836 279.6814147923915) rotate(0 64.89000701904297 25)"><text x="64.89000701904297" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">elasticsearch</text><text x="64.89000701904297" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">cluster</text></g><g transform="translate(535.3104209899902 119.68141479239148) rotate(0 37.22999954223633 12.5)"><text x="37.22999954223633" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">failures</text></g><g transform="translate(268.8104248046875 170.68141479239148) rotate(0 72.72999572753906 12.5)"><text x="72.72999572753906" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">S3 notification</text></g><g transform="translate(409.6104202270508 17.68141479239148) rotate(0 31.93000030517578 12.5)"><text x="31.93000030517578" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">trigger</text></g><g transform="translate(99.59041595458984 103.68141479239148) rotate(0 65.95000457763672 12.5)"><text x="65.95000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC flow logs</text></g><g transform="translate(95.59041595458984 194.18141479239148) rotate(0 65.95000457763672 12.5)"><text x="65.95000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC flow logs</text></g><g transform="translate(96.59041595458984 276.1814147923915) rotate(0 65.95000457763672 12.5)"><text x="65.95000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC flow logs</text></g><g transform="translate(93.88041687011719 374.1814147923915) rotate(0 69.66000366210938 12.5)"><text x="69.66000366210938" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">other log files</text></g><g stroke-linecap="round"><g transform="translate(942.5404205322266 70.68141479239148) rotate(0 -56.382559607736766 65.68734710942954)"><path d="M3.59 3.13 C-35.36 37.24, -75.7 80.74, -113.81 129.96 M-0.99 1.42 C-33.64 43.38, -74.21 85.46, -116.35 129.8" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(942.5404205322266 70.68141479239148) rotate(0 -56.382559607736766 65.68734710942954)"><path d="M-100.81 105.42 C-107.87 108.03, -114.94 118.76, -113.16 128.75 M-105.38 103.7 C-105.83 111.1, -112.57 119.85, -115.7 128.6" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(942.5404205322266 70.68141479239148) rotate(0 -56.382559607736766 65.68734710942954)"><path d="M-85.92 119.54 C-97.89 117.5, -109.67 123.76, -113.16 128.75 M-90.5 117.83 C-95.96 120.85, -107.49 125.05, -115.7 128.6" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(937.5404205322266 350.6814147923915) rotate(0 -56.90072685945779 -65.4862328870222)"><path d="M-3.03 -2.26 C-36.41 -42.73, -71.26 -83.47, -114.98 -132.81 M1.17 1.84 C-28.03 -33.92, -56.97 -65.18, -114.2 -129.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(937.5404205322266 350.6814147923915) rotate(0 -56.90072685945779 -65.4862328870222)"><path d="M-90.8 -117.54 C-96.74 -119.07, -101.99 -121.1, -114.18 -132.27 M-86.59 -113.44 C-94.63 -119.65, -100.67 -120.95, -113.4 -128.92" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(937.5404205322266 350.6814147923915) rotate(0 -56.90072685945779 -65.4862328870222)"><path d="M-106.1 -103.86 C-106.67 -109.93, -106.81 -116.53, -114.18 -132.27 M-101.89 -99.76 C-105.77 -109.58, -107.84 -114.42, -113.4 -128.92" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(843.7104206085205 134.68141479239148) rotate(0 31.829999923706055 12.5)"><text x="31.829999923706055" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">search</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/04/2023-04-17-network-observability-elastic-architecture-gcp.svg b/assets/2023/04/2023-04-17-network-observability-elastic-architecture-gcp.svg
new file mode 100644
index 0000000..d70268e
--- /dev/null
+++ b/assets/2023/04/2023-04-17-network-observability-elastic-architecture-gcp.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1036.0899962852027 477.30623934790583" width="2072.1799925704054" height="954.6124786958117">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="1036.0899962852027" height="477.30623934790583" fill="#ffffff"></rect><g stroke-linecap="round" transform="translate(946.5312572524466 38.39681903847668) rotate(0 26.578947368421154 27.192307692307736)"><path d="M0 0 C19.44 0, 38.87 0, 53.16 0 M0 0 C14 0, 27.99 0, 53.16 0 M53.16 0 C53.16 11.59, 53.16 23.18, 53.16 54.38 M53.16 0 C53.16 15.89, 53.16 31.77, 53.16 54.38 M53.16 54.38 C33.8 54.38, 14.45 54.38, 0 54.38 M53.16 54.38 C42.27 54.38, 31.38 54.38, 0 54.38 M0 54.38 C0 40.52, 0 26.66, 0 0 M0 54.38 C0 38.77, 0 23.15, 0 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(946.9401641350383 49.028397985845004) rotate(0 26.374493927125513 -0.20445344129552723)"><path d="M0 0 C12.43 -0.1, 24.86 -0.19, 52.75 -0.41 M0 0 C19.52 -0.15, 39.04 -0.3, 52.75 -0.41" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(953.0737673739039 43.50815507086554) rotate(0 1.4311740890688043 0)"><path d="M0 0 C1.03 0, 2.06 0, 2.86 0 M0 0 C0.98 0, 1.96 0, 2.86 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(961.0474515844306 43.50815507086554) rotate(0 1.226720647773277 0)"><path d="M0 0 C0.95 0, 1.9 0, 2.45 0 M0 0 C0.73 0, 1.46 0, 2.45 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(964.1142532038638 55.162001224711275) rotate(0 6.746963562753081 0)"><path d="M0 0 C5.01 0, 10.01 0, 13.49 0 M0 0 C3.76 0, 7.52 0, 13.49 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(993.3561560378718 86.43173806681807) rotate(0 -15.747975708502054 -11.846659919028298)"><path d="M0 0 C-7.02 0.05, -14.05 0.1, -31.7 0.22 M0 0 C-10.96 0.07, -21.92 0.15, -31.7 0.22 M-31.7 0.22 C-31.7 -5.47, -31.7 -11.15, -31.7 -23.5 M-31.7 0.22 C-31.7 -7.09, -31.7 -14.4, -31.7 -23.5 M-31.7 -23.5 C-24.39 -23.59, -17.09 -23.69, 0.2 -23.91 M-31.7 -23.5 C-23.03 -23.61, -14.36 -23.72, 0.2 -23.91 M0.2 -23.91 C0.15 -17.63, 0.09 -11.36, 0 0 M0.2 -23.91 C0.16 -18.9, 0.12 -13.9, 0 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(952.6648604913133 63.34013887653418) rotate(0 0 2.6578947368420813)"><path d="M0 0 C0 1.5, 0 2.99, 0 5.32 M0 0 C0 1.88, 0 3.76, 0 5.32" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(952.6648604913133 58.84216316803213) rotate(0 0 -1.8400809716599156)"><path d="M0 0 C0 -1.43, 0 -2.86, 0 -3.68 M0 0 C0 -0.88, 0 -1.76, 0 -3.68" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(953.0737673739035 55.162001224711275) rotate(0 2.453441295546554 0)"><path d="M0 0 C1.17 0, 2.34 0, 4.91 0 M0 0 C1.01 0, 2.03 0, 4.91 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(989.0575730419208 58.63770972673592) rotate(0 0 -1.4311740890688043)"><path d="M0 0 C0 -0.73, 0 -1.47, 0 -2.86 M0 0 C0 -0.6, 0 -1.19, 0 -2.86" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(984.1506904508275 55.162001224711275) rotate(0 2.453441295546554 0)"><path d="M0 0 C1.75 0, 3.51 0, 4.91 0 M0 0 C1.64 0, 3.28 0, 4.91 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(952.6648604913133 77.44742632592533) rotate(0 0 -1.8400809716599156)"><path d="M0 0 C0 -0.78, 0 -1.57, 0 -3.68 M0 0 C0 -1.08, 0 -2.15, 0 -3.68" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(952.6648604913138 78.06078664981214) rotate(0 2.0445344129554996 0)"><path d="M0 0 C0.9 0, 1.8 0, 4.09 0 M0 0 C1.61 0, 3.21 0, 4.09 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(920.6102046208679 97.04446159270447) rotate(0 52.1199951171875 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Dashboard</text></g><g stroke-linecap="round"><g transform="translate(14.774318292871271 398.1350412832753) rotate(0 13.4375 0)"><path d="M0 0 C5.51 0, 11.01 0, 26.88 0 M0 0 C6.85 0, 13.7 0, 26.88 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(14.774318292871271 433.7600412832753) rotate(0 10.625 0)"><path d="M0 0 C7.06 0, 14.12 0, 21.25 0 M0 0 C5.02 0, 10.03 0, 21.25 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(14.774318292871271 407.49110188933537) rotate(0 6.25 0)"><path d="M0 0 C2.94 0, 5.88 0, 12.5 0 M0 0 C4.19 0, 8.38 0, 12.5 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(14.774318292871271 424.3850412832753) rotate(0 6.25 0)"><path d="M0 0 C4.38 0, 8.75 0, 12.5 0 M0 0 C4.83 0, 9.66 0, 12.5 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(14.774318292871271 416.8850412832753) rotate(0 15.9375 -0.3125)"><path d="M0 0 C12.71 -0.25, 25.42 -0.5, 31.88 -0.63 M0 0 C12.32 -0.24, 24.65 -0.48, 31.88 -0.63" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(36.12280314135603 412.26042598971526) rotate(0 11.576282609266286 3.339618892031183)"><path d="M0 0 C0.51 -0.96, 1.36 -4.34, 3.03 -5.76 C4.7 -7.17, 7.42 -8.38, 10 -8.48 C12.58 -8.59, 16.31 -7.98, 18.48 -6.36 C20.66 -4.75, 22.58 -1.46, 23.03 1.21 C23.48 3.89, 22.63 7.42, 21.21 9.7 C19.8 11.97, 17.17 14.14, 14.55 14.85 C11.92 15.56, 7.83 15.05, 5.45 13.94 C3.08 12.83, 1.16 9.14, 0.3 8.18 M0 0 C0.51 -0.96, 1.36 -4.34, 3.03 -5.76 C4.7 -7.17, 7.42 -8.38, 10 -8.48 C12.58 -8.59, 16.31 -7.98, 18.48 -6.36 C20.66 -4.75, 22.58 -1.46, 23.03 1.21 C23.48 3.89, 22.63 7.42, 21.21 9.7 C19.8 11.97, 17.17 14.14, 14.55 14.85 C11.92 15.56, 7.83 15.05, 5.45 13.94 C3.08 12.83, 1.16 9.14, 0.3 8.18" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(40.819772838325775 412.8790720581246) rotate(0 6.947617738193287 2.7543050183897435)"><path d="M0 0 C0.42 -0.62, 1.4 -2.88, 2.52 -3.69 C3.64 -4.5, 5.28 -4.96, 6.74 -4.87 C8.21 -4.79, 10.13 -4.31, 11.31 -3.18 C12.49 -2.05, 13.59 0.27, 13.83 1.91 C14.08 3.55, 13.54 5.32, 12.79 6.65 C12.04 7.98, 10.87 9.35, 9.35 9.91 C7.84 10.48, 5.25 10.57, 3.7 10.04 C2.15 9.51, 0.65 7.29, 0.04 6.73 M0 0 C0.42 -0.62, 1.4 -2.88, 2.52 -3.69 C3.64 -4.5, 5.28 -4.96, 6.74 -4.87 C8.21 -4.79, 10.13 -4.31, 11.31 -3.18 C12.49 -2.05, 13.59 0.27, 13.83 1.91 C14.08 3.55, 13.54 5.32, 12.79 6.65 C12.04 7.98, 10.87 9.35, 9.35 9.91 C7.84 10.48, 5.25 10.57, 3.7 10.04 C2.15 9.51, 0.65 7.29, 0.04 6.73" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(57.75916677771977 422.26042598971526) rotate(0 1.7967905360932264 5.0100571840750945)"><path d="M0 0 C1.11 1.11, 5.81 5, 6.67 6.67 C7.53 8.33, 6.06 9.8, 5.15 10 C4.24 10.2, 2.63 8.84, 1.21 7.88 C-0.2 6.92, -2.58 4.85, -3.33 4.24 M0 0 C1.11 1.11, 5.81 5, 6.67 6.67 C7.53 8.33, 6.06 9.8, 5.15 10 C4.24 10.2, 2.63 8.84, 1.21 7.88 C-0.2 6.92, -2.58 4.85, -3.33 4.24" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(17.229772838325857 443.30623934790583) rotate(0 21.970001220703125 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Logs</text></g><g stroke-linecap="round"><g transform="translate(81.73019973805515 57.98946340387124) rotate(0 102.08985930206586 115.33406545989959)"><path d="M-1.83 -2.55 C48.13 52.07, 87.72 102.12, 204.8 232.02 M-1.21 0.82 C40.33 47.47, 83.1 95.19, 206.01 233.22" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(81.73019973805515 57.98946340387124) rotate(0 102.08985930206586 115.33406545989959)"><path d="M177.03 215.43 C189.23 220.3, 187.38 222, 204.3 231.07 M177.89 220.14 C185.4 222.47, 190.58 223.98, 205.99 232.75" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(81.73019973805515 57.98946340387124) rotate(0 102.08985930206586 115.33406545989959)"><path d="M192.35 201.78 C201.23 209.36, 196.03 214.04, 204.3 231.07 M193.22 206.49 C197.27 211.86, 199.25 216.23, 205.99 232.75" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(75.12325409845607 178.20271897195084) rotate(0 108.21217752062944 57.22502003538199)"><path d="M-1.78 3.22 C80.88 38.31, 159.19 80.07, 218.2 112.87 M-1.32 -1.53 C55.04 27.24, 112.71 58.34, 216.14 115.98" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(75.12325409845607 178.20271897195084) rotate(0 108.21217752062944 57.22502003538199)"><path d="M184.36 115.2 C198.89 110.71, 206.63 110.61, 218.9 113.1 M184.91 109.45 C193.48 110.57, 203.66 113.53, 216.41 116.87" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(75.12325409845607 178.20271897195084) rotate(0 108.21217752062944 57.22502003538199)"><path d="M194.3 97.24 C204.85 99.7, 208.86 106.34, 218.9 113.1 M194.85 91.5 C200.86 97.29, 208.49 104.87, 216.41 116.87" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(75.7301997380556 308.8999634092271) rotate(0 105.55670521072972 -7.446063087562777)"><path d="M-1.74 2.97 C78.88 -5.64, 160.92 -10.94, 212.14 -17.86 M-0.19 -0.62 C53.01 -5.9, 105.85 -12.69, 212.86 -17.42" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(75.7301997380556 308.8999634092271) rotate(0 105.55670521072972 -7.446063087562777)"><path d="M183.31 -2.2 C195.38 -10.49, 209.01 -13.33, 213.01 -17.36 M185.08 -6.29 C192.15 -7.56, 198.79 -13.15, 213.83 -16.85" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(75.7301997380556 308.8999634092271) rotate(0 105.55670521072972 -7.446063087562777)"><path d="M182.15 -22.69 C194.8 -23.32, 208.86 -18.52, 213.01 -17.36 M183.92 -26.78 C191.32 -22.94, 198.25 -23.4, 213.83 -16.85" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(66.73019973805538 448.1574292542009) rotate(0 111.46086243876135 -79.40331265908367)"><path d="M-1.59 -1.53 C82.95 -60.79, 161.69 -114.87, 222.58 -158.28 M0.65 0.03 C50.65 -37.11, 104.57 -75.49, 224.51 -158.84" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(66.73019973805538 448.1574292542009) rotate(0 111.46086243876135 -79.40331265908367)"><path d="M205.22 -136.27 C215.11 -146.96, 217.68 -151.5, 222.68 -159.47 M208.1 -134.25 C210.64 -139.79, 217.01 -147.68, 225.17 -160.18" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(66.73019973805538 448.1574292542009) rotate(0 111.46086243876135 -79.40331265908367)"><path d="M193.47 -153.1 C207.62 -157.69, 214.48 -156.1, 222.68 -159.47 M196.36 -151.08 C201.78 -152.75, 210.88 -156.73, 225.17 -160.18" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(338.6793509712029 265.1519520170991) rotate(0 -0.3054580301781016 -56.740374545598115)"><path d="M1.25 2.71 C-1.67 -36.61, -2.41 -74.57, -0.2 -113.2 M1.02 1.92 C-0.87 -41.5, -2.61 -80.22, -1.52 -116.19" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(338.6793509712029 265.1519520170991) rotate(0 -0.3054580301781016 -56.740374545598115)"><path d="M9.74 -85.2 C5.54 -97.69, 2.29 -108.82, 0.1 -113.43 M9.51 -86 C6.43 -98.89, 1.85 -107.2, -1.22 -116.42" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(338.6793509712029 265.1519520170991) rotate(0 -0.3054580301781016 -56.740374545598115)"><path d="M-10.78 -85.38 C-8.7 -97.82, -5.67 -108.9, 0.1 -113.43 M-11.01 -86.17 C-6.97 -99.26, -4.43 -107.5, -1.22 -116.42" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(373.7824103123195 49.686824872730085) rotate(0 77.36261353770158 -1.4486687494513149)"><path d="M-1.29 -0.73 C36 -5.36, 76.14 -4.34, 156.01 0.8 M-0.76 0.33 C57.93 0.33, 118.99 -0.47, 154.18 -1.78" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(373.7824103123195 49.686824872730085) rotate(0 77.36261353770158 -1.4486687494513149)"><path d="M124.99 8.52 C131.48 3.66, 140.64 2.15, 155.25 -0.35 M125.52 9.58 C135.43 6.77, 147.81 1.98, 153.42 -2.92" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(373.7824103123195 49.686824872730085) rotate(0 77.36261353770158 -1.4486687494513149)"><path d="M124.44 -11.99 C130.7 -11.86, 139.99 -8.37, 155.25 -0.35 M124.96 -10.94 C135.3 -5.89, 147.89 -2.82, 153.42 -2.92" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(723.2010958921227 182.546667515129) rotate(0 52.54859667738299 -17.46898911697167)" fill-rule="evenodd"><path d="M0 0 L82.45 0 L84.14 -0.05 L85.81 -0.19 L87.45 -0.43 L89.06 -0.75 L90.63 -1.16 L92.18 -1.66 L93.68 -2.24 L95.14 -2.9 L96.56 -3.63 L97.94 -4.44 L99.26 -5.31 L100.54 -6.26 L101.76 -7.27 L102.93 -8.34 L105.1 -10.67 L102.89 -13.37 L100.54 -15.95 L98.05 -18.39 L95.43 -20.69 L92.68 -22.84 L89.82 -24.83 L86.83 -26.67 L83.74 -28.34 L80.55 -29.83 L77.26 -31.15 L73.88 -32.28 L70.42 -33.22 L66.88 -33.96 L63.27 -34.5 L59.59 -34.83 L55.86 -34.94 L53.57 -34.9 L51.3 -34.77 L46.82 -34.29 L42.45 -33.49 L38.19 -32.39 L34.05 -31 L30.05 -29.34 L26.2 -27.41 L22.5 -25.23 L18.98 -22.8 L15.63 -20.14 L12.48 -17.27 L9.53 -14.18 L6.79 -10.9 L4.29 -7.44 L2.02 -3.8 L0 0" stroke="none" stroke-width="0" fill="#F0BF1A" fill-rule="evenodd"></path><path d="M0 0 C29.61 0, 59.23 0, 82.45 0 M0 0 C29.85 0, 59.69 0, 82.45 0 M82.45 0 C83.06 -0.02, 83.66 -0.03, 84.14 -0.05 M82.45 0 C83.02 -0.02, 83.59 -0.03, 84.14 -0.05 M84.14 -0.05 C84.81 -0.11, 85.47 -0.16, 85.81 -0.19 M84.14 -0.05 C84.68 -0.09, 85.22 -0.14, 85.81 -0.19 M85.81 -0.19 C86.15 -0.24, 86.48 -0.29, 87.45 -0.43 M85.81 -0.19 C86.38 -0.27, 86.95 -0.36, 87.45 -0.43 M87.45 -0.43 C87.83 -0.5, 88.21 -0.58, 89.06 -0.75 M87.45 -0.43 C88.06 -0.55, 88.68 -0.68, 89.06 -0.75 M89.06 -0.75 C89.45 -0.86, 89.85 -0.96, 90.63 -1.16 M89.06 -0.75 C89.55 -0.88, 90.04 -1.01, 90.63 -1.16 M90.63 -1.16 C91.24 -1.36, 91.84 -1.55, 92.18 -1.66 M90.63 -1.16 C90.98 -1.28, 91.32 -1.39, 92.18 -1.66 M92.18 -1.66 C92.73 -1.87, 93.27 -2.08, 93.68 -2.24 M92.18 -1.66 C92.7 -1.86, 93.23 -2.07, 93.68 -2.24 M93.68 -2.24 C94.14 -2.45, 94.61 -2.66, 95.14 -2.9 M93.68 -2.24 C94.22 -2.48, 94.76 -2.73, 95.14 -2.9 M95.14 -2.9 C95.44 -3.05, 95.73 -3.2, 96.56 -3.63 M95.14 -2.9 C95.66 -3.16, 96.18 -3.43, 96.56 -3.63 M96.56 -3.63 C96.97 -3.87, 97.38 -4.11, 97.94 -4.44 M96.56 -3.63 C96.96 -3.87, 97.37 -4.1, 97.94 -4.44 M97.94 -4.44 C98.35 -4.71, 98.77 -4.99, 99.26 -5.31 M97.94 -4.44 C98.41 -4.75, 98.89 -5.07, 99.26 -5.31 M99.26 -5.31 C99.71 -5.64, 100.15 -5.97, 100.54 -6.26 M99.26 -5.31 C99.64 -5.6, 100.03 -5.88, 100.54 -6.26 M100.54 -6.26 C100.79 -6.47, 101.04 -6.68, 101.76 -7.27 M100.54 -6.26 C100.94 -6.59, 101.35 -6.93, 101.76 -7.27 M101.76 -7.27 C102.13 -7.61, 102.5 -7.95, 102.93 -8.34 M101.76 -7.27 C102.05 -7.53, 102.33 -7.79, 102.93 -8.34 M102.93 -8.34 C103.55 -9.01, 104.17 -9.67, 105.1 -10.67 M102.93 -8.34 C103.7 -9.17, 104.47 -10, 105.1 -10.67 M105.1 -10.67 C104.24 -11.72, 103.39 -12.77, 102.89 -13.37 M105.1 -10.67 C104.63 -11.24, 104.17 -11.81, 102.89 -13.37 M102.89 -13.37 C102.09 -14.25, 101.3 -15.13, 100.54 -15.95 M102.89 -13.37 C102.15 -14.19, 101.4 -15.01, 100.54 -15.95 M100.54 -15.95 C99.6 -16.87, 98.66 -17.79, 98.05 -18.39 M100.54 -15.95 C99.93 -16.55, 99.32 -17.15, 98.05 -18.39 M98.05 -18.39 C97.43 -18.94, 96.81 -19.48, 95.43 -20.69 M98.05 -18.39 C97.05 -19.27, 96.04 -20.16, 95.43 -20.69 M95.43 -20.69 C94.79 -21.19, 94.15 -21.69, 92.68 -22.84 M95.43 -20.69 C94.82 -21.17, 94.21 -21.65, 92.68 -22.84 M92.68 -22.84 C92.02 -23.3, 91.35 -23.76, 89.82 -24.83 M92.68 -22.84 C91.77 -23.47, 90.86 -24.1, 89.82 -24.83 M89.82 -24.83 C88.81 -25.45, 87.81 -26.07, 86.83 -26.67 M89.82 -24.83 C88.73 -25.5, 87.64 -26.17, 86.83 -26.67 M86.83 -26.67 C86.04 -27.1, 85.24 -27.53, 83.74 -28.34 M86.83 -26.67 C85.69 -27.29, 84.54 -27.91, 83.74 -28.34 M83.74 -28.34 C82.47 -28.93, 81.2 -29.53, 80.55 -29.83 M83.74 -28.34 C82.68 -28.83, 81.63 -29.33, 80.55 -29.83 M80.55 -29.83 C79.79 -30.14, 79.03 -30.44, 77.26 -31.15 M80.55 -29.83 C79.26 -30.35, 77.97 -30.86, 77.26 -31.15 M77.26 -31.15 C76.02 -31.57, 74.77 -31.98, 73.88 -32.28 M77.26 -31.15 C76.15 -31.52, 75.04 -31.89, 73.88 -32.28 M73.88 -32.28 C72.66 -32.61, 71.45 -32.94, 70.42 -33.22 M73.88 -32.28 C72.79 -32.58, 71.69 -32.87, 70.42 -33.22 M70.42 -33.22 C69.27 -33.46, 68.13 -33.7, 66.88 -33.96 M70.42 -33.22 C69.7 -33.37, 68.99 -33.52, 66.88 -33.96 M66.88 -33.96 C66.14 -34.07, 65.4 -34.18, 63.27 -34.5 M66.88 -33.96 C65.88 -34.11, 64.89 -34.26, 63.27 -34.5 M63.27 -34.5 C61.88 -34.62, 60.5 -34.75, 59.59 -34.83 M63.27 -34.5 C62.01 -34.61, 60.75 -34.72, 59.59 -34.83 M59.59 -34.83 C58.64 -34.86, 57.68 -34.88, 55.86 -34.94 M59.59 -34.83 C58.5 -34.86, 57.4 -34.89, 55.86 -34.94 M55.86 -34.94 C55 -34.92, 54.14 -34.91, 53.57 -34.9 M55.86 -34.94 C54.99 -34.92, 54.12 -34.91, 53.57 -34.9 M53.57 -34.9 C52.76 -34.85, 51.96 -34.81, 51.3 -34.77 M53.57 -34.9 C52.7 -34.85, 51.83 -34.8, 51.3 -34.77 M51.3 -34.77 C49.54 -34.58, 47.79 -34.39, 46.82 -34.29 M51.3 -34.77 C50.01 -34.63, 48.72 -34.49, 46.82 -34.29 M46.82 -34.29 C45.81 -34.1, 44.8 -33.92, 42.45 -33.49 M46.82 -34.29 C45.72 -34.08, 44.61 -33.88, 42.45 -33.49 M42.45 -33.49 C41.42 -33.22, 40.39 -32.95, 38.19 -32.39 M42.45 -33.49 C41.24 -33.17, 40.04 -32.86, 38.19 -32.39 M38.19 -32.39 C37.36 -32.11, 36.53 -31.83, 34.05 -31 M38.19 -32.39 C37.36 -32.11, 36.52 -31.83, 34.05 -31 M34.05 -31 C32.59 -30.39, 31.12 -29.78, 30.05 -29.34 M34.05 -31 C32.76 -30.46, 31.47 -29.93, 30.05 -29.34 M30.05 -29.34 C29.05 -28.83, 28.04 -28.33, 26.2 -27.41 M30.05 -29.34 C29.2 -28.91, 28.35 -28.49, 26.2 -27.41 M26.2 -27.41 C24.93 -26.66, 23.66 -25.91, 22.5 -25.23 M26.2 -27.41 C25.44 -26.96, 24.68 -26.51, 22.5 -25.23 M22.5 -25.23 C21.12 -24.28, 19.75 -23.33, 18.98 -22.8 M22.5 -25.23 C21.47 -24.51, 20.43 -23.8, 18.98 -22.8 M18.98 -22.8 C17.71 -21.79, 16.44 -20.79, 15.63 -20.14 M18.98 -22.8 C18.05 -22.07, 17.13 -21.34, 15.63 -20.14 M15.63 -20.14 C14.83 -19.41, 14.03 -18.68, 12.48 -17.27 M15.63 -20.14 C14.7 -19.29, 13.77 -18.45, 12.48 -17.27 M12.48 -17.27 C11.84 -16.6, 11.2 -15.93, 9.53 -14.18 M12.48 -17.27 C11.54 -16.29, 10.61 -15.32, 9.53 -14.18 M9.53 -14.18 C8.72 -13.21, 7.91 -12.24, 6.79 -10.9 M9.53 -14.18 C8.72 -13.22, 7.92 -12.25, 6.79 -10.9 M6.79 -10.9 C6.21 -10.1, 5.63 -9.3, 4.29 -7.44 M6.79 -10.9 C6.16 -10.03, 5.52 -9.15, 4.29 -7.44 M4.29 -7.44 C3.73 -6.54, 3.17 -5.65, 2.02 -3.8 M4.29 -7.44 C3.72 -6.52, 3.14 -5.61, 2.02 -3.8 M2.02 -3.8 C1.35 -2.55, 0.69 -1.29, 0 0 M2.02 -3.8 C1.5 -2.82, 0.98 -1.84, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(798.6659147088866 192.25175818392177) rotate(0 -32.12325765160301 17.46898965159545)" fill-rule="evenodd"><path d="M0 0 L-79.21 0 L-80.28 4.21 L-81.07 8.54 L-81.55 12.96 L-81.67 15.2 L-81.72 17.47 L-81.67 19.73 L-81.55 21.98 L-81.07 26.4 L-80.28 30.72 L-79.21 34.94 L0 34.94 L1.76 34.85 L3.48 34.59 L5.14 34.16 L6.74 33.57 L8.27 32.84 L9.71 31.97 L11.06 30.97 L12.3 29.84 L13.44 28.6 L14.45 27.26 L15.33 25.82 L16.08 24.29 L16.67 22.68 L17.11 21.01 L17.38 19.26 L17.47 17.47 L17.38 15.67 L17.12 13.93 L16.69 12.25 L16.1 10.65 L15.37 9.12 L14.5 7.68 L13.5 6.33 L12.37 5.1 L11.14 3.97 L9.79 2.97 L8.35 2.1 L6.82 1.36 L5.22 0.78 L3.54 0.35 L1.8 0.09 L0 0" stroke="none" stroke-width="0" fill="#07A5DE" fill-rule="evenodd"></path><path d="M0 0 C-27.08 0, -54.17 0, -79.21 0 M0 0 C-30 0, -60.01 0, -79.21 0 M-79.21 0 C-79.5 1.14, -79.79 2.28, -80.28 4.21 M-79.21 0 C-79.58 1.45, -79.95 2.9, -80.28 4.21 M-80.28 4.21 C-80.56 5.73, -80.83 7.24, -81.07 8.54 M-80.28 4.21 C-80.46 5.2, -80.64 6.18, -81.07 8.54 M-81.07 8.54 C-81.2 9.76, -81.34 10.98, -81.55 12.96 M-81.07 8.54 C-81.22 9.88, -81.36 11.22, -81.55 12.96 M-81.55 12.96 C-81.58 13.43, -81.6 13.9, -81.67 15.2 M-81.55 12.96 C-81.59 13.65, -81.63 14.35, -81.67 15.2 M-81.67 15.2 C-81.68 15.76, -81.69 16.31, -81.72 17.47 M-81.67 15.2 C-81.69 15.93, -81.7 16.65, -81.72 17.47 M-81.72 17.47 C-81.7 18.37, -81.68 19.27, -81.67 19.73 M-81.72 17.47 C-81.7 18.17, -81.69 18.87, -81.67 19.73 M-81.67 19.73 C-81.64 20.37, -81.61 21.01, -81.55 21.98 M-81.67 19.73 C-81.65 20.27, -81.62 20.8, -81.55 21.98 M-81.55 21.98 C-81.42 23.23, -81.28 24.48, -81.07 26.4 M-81.55 21.98 C-81.45 22.88, -81.36 23.78, -81.07 26.4 M-81.07 26.4 C-80.89 27.42, -80.7 28.43, -80.28 30.72 M-81.07 26.4 C-80.8 27.86, -80.54 29.33, -80.28 30.72 M-80.28 30.72 C-80.06 31.6, -79.84 32.47, -79.21 34.94 M-80.28 30.72 C-79.9 32.24, -79.51 33.76, -79.21 34.94 M-79.21 34.94 C-49.54 34.94, -19.87 34.94, 0 34.94 M-79.21 34.94 C-59.26 34.94, -39.31 34.94, 0 34.94 M0 34.94 C0.7 34.9, 1.41 34.87, 1.76 34.85 M0 34.94 C0.42 34.92, 0.84 34.9, 1.76 34.85 M1.76 34.85 C2.29 34.77, 2.83 34.69, 3.48 34.59 M1.76 34.85 C2.18 34.78, 2.61 34.72, 3.48 34.59 M3.48 34.59 C3.93 34.47, 4.39 34.35, 5.14 34.16 M3.48 34.59 C3.96 34.46, 4.44 34.34, 5.14 34.16 M5.14 34.16 C5.59 33.99, 6.03 33.83, 6.74 33.57 M5.14 34.16 C5.67 33.97, 6.2 33.77, 6.74 33.57 M6.74 33.57 C7.23 33.34, 7.71 33.11, 8.27 32.84 M6.74 33.57 C7.13 33.38, 7.53 33.2, 8.27 32.84 M8.27 32.84 C8.64 32.62, 9.01 32.39, 9.71 31.97 M8.27 32.84 C8.78 32.53, 9.3 32.22, 9.71 31.97 M9.71 31.97 C10 31.75, 10.29 31.54, 11.06 30.97 M9.71 31.97 C10.09 31.69, 10.47 31.4, 11.06 30.97 M11.06 30.97 C11.37 30.69, 11.68 30.41, 12.3 29.84 M11.06 30.97 C11.46 30.6, 11.87 30.24, 12.3 29.84 M12.3 29.84 C12.67 29.44, 13.04 29.04, 13.44 28.6 M12.3 29.84 C12.75 29.36, 13.19 28.87, 13.44 28.6 M13.44 28.6 C13.84 28.07, 14.24 27.54, 14.45 27.26 M13.44 28.6 C13.71 28.24, 13.98 27.88, 14.45 27.26 M14.45 27.26 C14.79 26.71, 15.13 26.15, 15.33 25.82 M14.45 27.26 C14.63 26.97, 14.81 26.67, 15.33 25.82 M15.33 25.82 C15.53 25.42, 15.73 25.01, 16.08 24.29 M15.33 25.82 C15.61 25.25, 15.88 24.69, 16.08 24.29 M16.08 24.29 C16.21 23.93, 16.34 23.57, 16.67 22.68 M16.08 24.29 C16.22 23.91, 16.36 23.53, 16.67 22.68 M16.67 22.68 C16.83 22.08, 16.99 21.47, 17.11 21.01 M16.67 22.68 C16.78 22.27, 16.89 21.85, 17.11 21.01 M17.11 21.01 C17.18 20.57, 17.24 20.13, 17.38 19.26 M17.11 21.01 C17.21 20.32, 17.32 19.63, 17.38 19.26 M17.38 19.26 C17.4 18.86, 17.42 18.45, 17.47 17.47 M17.38 19.26 C17.4 18.78, 17.43 18.29, 17.47 17.47 M17.47 17.47 C17.44 16.83, 17.41 16.19, 17.38 15.67 M17.47 17.47 C17.44 16.98, 17.42 16.49, 17.38 15.67 M17.38 15.67 C17.29 15.1, 17.21 14.53, 17.12 13.93 M17.38 15.67 C17.32 15.25, 17.25 14.83, 17.12 13.93 M17.12 13.93 C17.03 13.57, 16.93 13.21, 16.69 12.25 M17.12 13.93 C17.01 13.5, 16.89 13.06, 16.69 12.25 M16.69 12.25 C16.48 11.67, 16.26 11.08, 16.1 10.65 M16.69 12.25 C16.51 11.76, 16.33 11.26, 16.1 10.65 M16.1 10.65 C15.83 10.07, 15.55 9.49, 15.37 9.12 M16.1 10.65 C15.93 10.27, 15.75 9.9, 15.37 9.12 M15.37 9.12 C15.04 8.57, 14.71 8.03, 14.5 7.68 M15.37 9.12 C15.14 8.74, 14.91 8.36, 14.5 7.68 M14.5 7.68 C14.11 7.15, 13.71 6.62, 13.5 6.33 M14.5 7.68 C14.21 7.28, 13.92 6.89, 13.5 6.33 M13.5 6.33 C13.24 6.04, 12.97 5.75, 12.37 5.1 M13.5 6.33 C13.23 6.04, 12.96 5.74, 12.37 5.1 M12.37 5.1 C12.03 4.78, 11.69 4.47, 11.14 3.97 M12.37 5.1 C11.91 4.67, 11.44 4.25, 11.14 3.97 M11.14 3.97 C10.69 3.64, 10.24 3.3, 9.79 2.97 M11.14 3.97 C10.86 3.76, 10.57 3.55, 9.79 2.97 M9.79 2.97 C9.45 2.76, 9.12 2.56, 8.35 2.1 M9.79 2.97 C9.43 2.75, 9.07 2.53, 8.35 2.1 M8.35 2.1 C7.88 1.87, 7.41 1.64, 6.82 1.36 M8.35 2.1 C7.91 1.88, 7.46 1.67, 6.82 1.36 M6.82 1.36 C6.25 1.16, 5.67 0.95, 5.22 0.78 M6.82 1.36 C6.23 1.15, 5.63 0.93, 5.22 0.78 M5.22 0.78 C4.66 0.64, 4.1 0.5, 3.54 0.35 M5.22 0.78 C4.8 0.67, 4.39 0.57, 3.54 0.35 M3.54 0.35 C2.99 0.27, 2.44 0.19, 1.8 0.09 M3.54 0.35 C2.88 0.25, 2.23 0.15, 1.8 0.09 M1.8 0.09 C1.08 0.05, 0.37 0.02, 0 0 M1.8 0.09 C1.12 0.06, 0.45 0.02, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(828.5102091558819 247.29586327387256) rotate(0 -52.65449138355518 7.067735099772165)" fill-rule="evenodd"><path d="M0 0 L-2.15 -2.27 L-4.53 -4.31 L-5.79 -5.23 L-7.11 -6.09 L-8.48 -6.87 L-9.88 -7.59 L-11.34 -8.22 L-12.83 -8.79 L-14.35 -9.27 L-15.92 -9.67 L-17.51 -9.99 L-19.14 -10.22 L-20.79 -10.35 L-22.47 -10.4 L-105.31 -10.4 L-103.29 -6.6 L-101.02 -2.96 L-98.51 0.5 L-95.78 3.78 L-92.83 6.87 L-89.68 9.74 L-86.33 12.4 L-82.81 14.82 L-79.11 17.01 L-75.26 18.94 L-71.26 20.6 L-67.12 21.99 L-62.86 23.08 L-58.49 23.88 L-54.01 24.37 L-51.74 24.5 L-49.45 24.54 L-45.69 24.42 L-42 24.09 L-38.36 23.55 L-34.8 22.8 L-31.32 21.85 L-27.93 20.7 L-24.62 19.37 L-21.41 17.86 L-18.31 16.17 L-15.31 14.31 L-12.43 12.3 L-9.67 10.12 L-7.05 7.8 L-4.55 5.33 L-2.2 2.73 L0 0" stroke="none" stroke-width="0" fill="#3EBEB0" fill-rule="evenodd"></path><path d="M0 0 C-0.86 -0.91, -1.71 -1.81, -2.15 -2.27 M0 0 C-0.74 -0.78, -1.48 -1.56, -2.15 -2.27 M-2.15 -2.27 C-2.67 -2.71, -3.18 -3.16, -4.53 -4.31 M-2.15 -2.27 C-2.75 -2.79, -3.35 -3.3, -4.53 -4.31 M-4.53 -4.31 C-4.99 -4.64, -5.45 -4.98, -5.79 -5.23 M-4.53 -4.31 C-5 -4.65, -5.47 -5, -5.79 -5.23 M-5.79 -5.23 C-6.2 -5.5, -6.61 -5.76, -7.11 -6.09 M-5.79 -5.23 C-6.3 -5.56, -6.8 -5.88, -7.11 -6.09 M-7.11 -6.09 C-7.41 -6.26, -7.71 -6.43, -8.48 -6.87 M-7.11 -6.09 C-7.42 -6.26, -7.73 -6.44, -8.48 -6.87 M-8.48 -6.87 C-8.94 -7.11, -9.4 -7.34, -9.88 -7.59 M-8.48 -6.87 C-8.92 -7.1, -9.37 -7.32, -9.88 -7.59 M-9.88 -7.59 C-10.22 -7.73, -10.55 -7.88, -11.34 -8.22 M-9.88 -7.59 C-10.42 -7.82, -10.96 -8.06, -11.34 -8.22 M-11.34 -8.22 C-11.7 -8.36, -12.06 -8.5, -12.83 -8.79 M-11.34 -8.22 C-11.64 -8.34, -11.94 -8.45, -12.83 -8.79 M-12.83 -8.79 C-13.28 -8.93, -13.73 -9.07, -14.35 -9.27 M-12.83 -8.79 C-13.44 -8.98, -14.04 -9.17, -14.35 -9.27 M-14.35 -9.27 C-14.83 -9.39, -15.31 -9.51, -15.92 -9.67 M-14.35 -9.27 C-14.78 -9.38, -15.21 -9.49, -15.92 -9.67 M-15.92 -9.67 C-16.31 -9.75, -16.71 -9.83, -17.51 -9.99 M-15.92 -9.67 C-16.49 -9.78, -17.06 -9.9, -17.51 -9.99 M-17.51 -9.99 C-18.08 -10.07, -18.65 -10.15, -19.14 -10.22 M-17.51 -9.99 C-18.1 -10.07, -18.68 -10.15, -19.14 -10.22 M-19.14 -10.22 C-19.72 -10.26, -20.31 -10.31, -20.79 -10.35 M-19.14 -10.22 C-19.53 -10.25, -19.92 -10.28, -20.79 -10.35 M-20.79 -10.35 C-21.3 -10.37, -21.8 -10.38, -22.47 -10.4 M-20.79 -10.35 C-21.42 -10.37, -22.05 -10.39, -22.47 -10.4 M-22.47 -10.4 C-40.01 -10.4, -57.56 -10.4, -105.31 -10.4 M-22.47 -10.4 C-43.88 -10.4, -65.3 -10.4, -105.31 -10.4 M-105.31 -10.4 C-104.79 -9.42, -104.26 -8.43, -103.29 -6.6 M-105.31 -10.4 C-104.83 -9.51, -104.36 -8.61, -103.29 -6.6 M-103.29 -6.6 C-102.72 -5.69, -102.15 -4.78, -101.02 -2.96 M-103.29 -6.6 C-102.39 -5.16, -101.49 -3.72, -101.02 -2.96 M-101.02 -2.96 C-100.5 -2.25, -99.99 -1.53, -98.51 0.5 M-101.02 -2.96 C-100.16 -1.77, -99.3 -0.58, -98.51 0.5 M-98.51 0.5 C-97.87 1.27, -97.23 2.04, -95.78 3.78 M-98.51 0.5 C-97.8 1.36, -97.08 2.22, -95.78 3.78 M-95.78 3.78 C-94.86 4.75, -93.94 5.71, -92.83 6.87 M-95.78 3.78 C-94.91 4.69, -94.04 5.6, -92.83 6.87 M-92.83 6.87 C-91.69 7.9, -90.56 8.94, -89.68 9.74 M-92.83 6.87 C-92.17 7.47, -91.5 8.08, -89.68 9.74 M-89.68 9.74 C-88.92 10.35, -88.16 10.95, -86.33 12.4 M-89.68 9.74 C-88.41 10.75, -87.14 11.76, -86.33 12.4 M-86.33 12.4 C-85.07 13.27, -83.81 14.14, -82.81 14.82 M-86.33 12.4 C-85.49 12.98, -84.65 13.56, -82.81 14.82 M-82.81 14.82 C-81.39 15.66, -79.97 16.5, -79.11 17.01 M-82.81 14.82 C-81.79 15.42, -80.77 16.02, -79.11 17.01 M-79.11 17.01 C-77.61 17.76, -76.11 18.51, -75.26 18.94 M-79.11 17.01 C-78.01 17.56, -76.91 18.11, -75.26 18.94 M-75.26 18.94 C-74.06 19.43, -72.87 19.93, -71.26 20.6 M-75.26 18.94 C-73.83 19.53, -72.4 20.12, -71.26 20.6 M-71.26 20.6 C-69.81 21.08, -68.37 21.57, -67.12 21.99 M-71.26 20.6 C-69.88 21.06, -68.51 21.52, -67.12 21.99 M-67.12 21.99 C-65.97 22.28, -64.82 22.58, -62.86 23.08 M-67.12 21.99 C-65.47 22.41, -63.81 22.84, -62.86 23.08 M-62.86 23.08 C-61.27 23.38, -59.68 23.67, -58.49 23.88 M-62.86 23.08 C-61.54 23.33, -60.22 23.57, -58.49 23.88 M-58.49 23.88 C-57.23 24.02, -55.98 24.16, -54.01 24.37 M-58.49 23.88 C-57.47 23.99, -56.46 24.1, -54.01 24.37 M-54.01 24.37 C-53.34 24.41, -52.67 24.44, -51.74 24.5 M-54.01 24.37 C-53.19 24.42, -52.38 24.46, -51.74 24.5 M-51.74 24.5 C-51.07 24.51, -50.39 24.52, -49.45 24.54 M-51.74 24.5 C-51.01 24.51, -50.27 24.52, -49.45 24.54 M-49.45 24.54 C-48.55 24.51, -47.66 24.48, -45.69 24.42 M-49.45 24.54 C-48.64 24.51, -47.83 24.49, -45.69 24.42 M-45.69 24.42 C-44.37 24.31, -43.05 24.19, -42 24.09 M-45.69 24.42 C-44.91 24.35, -44.12 24.28, -42 24.09 M-42 24.09 C-41.21 23.98, -40.42 23.86, -38.36 23.55 M-42 24.09 C-41.21 23.98, -40.42 23.86, -38.36 23.55 M-38.36 23.55 C-37.29 23.32, -36.22 23.1, -34.8 22.8 M-38.36 23.55 C-37.53 23.37, -36.69 23.2, -34.8 22.8 M-34.8 22.8 C-33.79 22.52, -32.78 22.25, -31.32 21.85 M-34.8 22.8 C-33.91 22.56, -33.02 22.31, -31.32 21.85 M-31.32 21.85 C-30.51 21.57, -29.7 21.3, -27.93 20.7 M-31.32 21.85 C-30.59 21.6, -29.86 21.36, -27.93 20.7 M-27.93 20.7 C-27.09 20.37, -26.26 20.03, -24.62 19.37 M-27.93 20.7 C-27.03 20.34, -26.14 19.99, -24.62 19.37 M-24.62 19.37 C-23.77 18.97, -22.91 18.57, -21.41 17.86 M-24.62 19.37 C-23.43 18.81, -22.25 18.25, -21.41 17.86 M-21.41 17.86 C-20.4 17.31, -19.39 16.76, -18.31 16.17 M-21.41 17.86 C-20.38 17.3, -19.35 16.74, -18.31 16.17 M-18.31 16.17 C-17.23 15.5, -16.15 14.83, -15.31 14.31 M-18.31 16.17 C-17.68 15.78, -17.05 15.39, -15.31 14.31 M-15.31 14.31 C-14.54 13.77, -13.77 13.24, -12.43 12.3 M-15.31 14.31 C-14.26 13.58, -13.22 12.85, -12.43 12.3 M-12.43 12.3 C-11.65 11.68, -10.87 11.06, -9.67 10.12 M-12.43 12.3 C-11.78 11.78, -11.13 11.27, -9.67 10.12 M-9.67 10.12 C-8.97 9.5, -8.26 8.87, -7.05 7.8 M-9.67 10.12 C-9.09 9.6, -8.5 9.08, -7.05 7.8 M-7.05 7.8 C-6.35 7.11, -5.65 6.42, -4.55 5.33 M-7.05 7.8 C-6.44 7.2, -5.83 6.59, -4.55 5.33 M-4.55 5.33 C-3.96 4.68, -3.36 4.02, -2.2 2.73 M-4.55 5.33 C-4.05 4.77, -3.54 4.21, -2.2 2.73 M-2.2 2.73 C-1.37 1.7, -0.54 0.67, 0 0 M-2.2 2.73 C-1.71 2.13, -1.22 1.52, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(719.4582483482026 192.25175818392177) rotate(0 25.733383657070817 17.46898965159545)" fill-rule="evenodd"><path d="M0 0 L-1.08 4.21 L-1.86 8.54 L-2.34 12.96 L-2.47 15.2 L-2.51 17.47 L-2.47 19.73 L-2.34 21.98 L-1.86 26.4 L-1.08 30.72 L0 34.94 L51.84 34.94 L52.75 30.9 L53.42 26.64 L53.66 24.43 L53.83 22.16 L53.94 19.84 L53.97 17.47 L53.94 15.09 L53.83 12.77 L53.66 10.51 L53.42 8.3 L52.75 4.04 L51.84 0 L0 0" stroke="none" stroke-width="0" fill="#231F20" fill-rule="evenodd"></path><path d="M0 0 C-0.27 1.04, -0.53 2.08, -1.08 4.21 M0 0 C-0.3 1.17, -0.6 2.34, -1.08 4.21 M-1.08 4.21 C-1.24 5.11, -1.4 6.01, -1.86 8.54 M-1.08 4.21 C-1.37 5.81, -1.66 7.4, -1.86 8.54 M-1.86 8.54 C-2.03 10.11, -2.2 11.68, -2.34 12.96 M-1.86 8.54 C-2.06 10.31, -2.25 12.07, -2.34 12.96 M-2.34 12.96 C-2.37 13.48, -2.4 14, -2.47 15.2 M-2.34 12.96 C-2.38 13.62, -2.42 14.27, -2.47 15.2 M-2.47 15.2 C-2.48 15.69, -2.48 16.17, -2.51 17.47 M-2.47 15.2 C-2.48 16.02, -2.5 16.84, -2.51 17.47 M-2.51 17.47 C-2.49 18.33, -2.48 19.19, -2.47 19.73 M-2.51 17.47 C-2.49 18.33, -2.48 19.2, -2.47 19.73 M-2.47 19.73 C-2.43 20.41, -2.39 21.08, -2.34 21.98 M-2.47 19.73 C-2.42 20.57, -2.38 21.4, -2.34 21.98 M-2.34 21.98 C-2.2 23.34, -2.05 24.7, -1.86 26.4 M-2.34 21.98 C-2.22 23.09, -2.1 24.21, -1.86 26.4 M-1.86 26.4 C-1.64 27.6, -1.43 28.8, -1.08 30.72 M-1.86 26.4 C-1.68 27.4, -1.5 28.4, -1.08 30.72 M-1.08 30.72 C-0.75 32.02, -0.42 33.31, 0 34.94 M-1.08 30.72 C-0.79 31.84, -0.5 32.96, 0 34.94 M0 34.94 C15 34.94, 29.99 34.94, 51.84 34.94 M0 34.94 C12.34 34.94, 24.67 34.94, 51.84 34.94 M51.84 34.94 C52.2 33.33, 52.56 31.72, 52.75 30.9 M51.84 34.94 C52.04 34.02, 52.25 33.11, 52.75 30.9 M52.75 30.9 C52.92 29.78, 53.1 28.67, 53.42 26.64 M52.75 30.9 C52.93 29.72, 53.12 28.54, 53.42 26.64 M53.42 26.64 C53.47 26.11, 53.53 25.58, 53.66 24.43 M53.42 26.64 C53.48 26.03, 53.55 25.41, 53.66 24.43 M53.66 24.43 C53.69 23.97, 53.73 23.5, 53.83 22.16 M53.66 24.43 C53.71 23.69, 53.77 22.94, 53.83 22.16 M53.83 22.16 C53.86 21.66, 53.88 21.15, 53.94 19.84 M53.83 22.16 C53.85 21.68, 53.88 21.19, 53.94 19.84 M53.94 19.84 C53.95 19.1, 53.96 18.36, 53.97 17.47 M53.94 19.84 C53.95 18.99, 53.96 18.13, 53.97 17.47 M53.97 17.47 C53.96 16.62, 53.95 15.77, 53.94 15.09 M53.97 17.47 C53.96 16.64, 53.95 15.81, 53.94 15.09 M53.94 15.09 C53.91 14.5, 53.88 13.9, 53.83 12.77 M53.94 15.09 C53.91 14.54, 53.89 13.98, 53.83 12.77 M53.83 12.77 C53.8 12.3, 53.76 11.82, 53.66 10.51 M53.83 12.77 C53.78 12.16, 53.74 11.55, 53.66 10.51 M53.66 10.51 C53.59 9.85, 53.51 9.18, 53.42 8.3 M53.66 10.51 C53.6 10.02, 53.55 9.54, 53.42 8.3 M53.42 8.3 C53.17 6.75, 52.93 5.19, 52.75 4.04 M53.42 8.3 C53.23 7.08, 53.03 5.87, 52.75 4.04 M52.75 4.04 C52.4 2.5, 52.06 0.96, 51.84 0 M52.75 4.04 C52.52 3.03, 52.3 2.03, 51.84 0 M51.84 0 C34.25 0, 16.65 0, 0 0 M51.84 0 C33.6 0, 15.36 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(747.8121650833244 155.9550103644567) rotate(0 -1.7470523610616056 13.295936629886455)" fill-rule="evenodd"><path d="M0 0 L-3.85 2.47 L-7.51 5.22 L-10.97 8.23 L-14.22 11.48 L-17.23 14.95 L-19.98 18.64 L-21.26 20.56 L-22.46 22.53 L-23.59 24.54 L-24.65 26.59 L21.16 26.59 L19.28 22.67 L17.17 18.92 L14.82 15.33 L12.25 11.91 L9.47 8.67 L6.5 5.6 L3.34 2.71 L0 0" stroke="none" stroke-width="0" fill="#D7A229" fill-rule="evenodd"></path><path d="M0 0 C-1.31 0.84, -2.62 1.69, -3.85 2.47 M0 0 C-0.8 0.51, -1.6 1.03, -3.85 2.47 M-3.85 2.47 C-4.65 3.07, -5.45 3.68, -7.51 5.22 M-3.85 2.47 C-5.06 3.38, -6.27 4.29, -7.51 5.22 M-7.51 5.22 C-8.64 6.2, -9.78 7.19, -10.97 8.23 M-7.51 5.22 C-8.55 6.12, -9.58 7.02, -10.97 8.23 M-10.97 8.23 C-11.91 9.16, -12.84 10.1, -14.22 11.48 M-10.97 8.23 C-11.7 8.95, -12.42 9.67, -14.22 11.48 M-14.22 11.48 C-15.38 12.82, -16.54 14.17, -17.23 14.95 M-14.22 11.48 C-14.89 12.26, -15.57 13.03, -17.23 14.95 M-17.23 14.95 C-18.2 16.25, -19.17 17.55, -19.98 18.64 M-17.23 14.95 C-17.79 15.71, -18.35 16.46, -19.98 18.64 M-19.98 18.64 C-20.28 19.09, -20.58 19.54, -21.26 20.56 M-19.98 18.64 C-20.39 19.25, -20.79 19.86, -21.26 20.56 M-21.26 20.56 C-21.71 21.31, -22.17 22.06, -22.46 22.53 M-21.26 20.56 C-21.67 21.24, -22.09 21.92, -22.46 22.53 M-22.46 22.53 C-22.82 23.16, -23.18 23.8, -23.59 24.54 M-22.46 22.53 C-22.87 23.25, -23.28 23.98, -23.59 24.54 M-23.59 24.54 C-23.94 25.2, -24.28 25.87, -24.65 26.59 M-23.59 24.54 C-23.92 25.17, -24.24 25.8, -24.65 26.59 M-24.65 26.59 C-10.13 26.59, 4.39 26.59, 21.16 26.59 M-24.65 26.59 C-12.26 26.59, 0.12 26.59, 21.16 26.59 M21.16 26.59 C20.75 25.73, 20.33 24.87, 19.28 22.67 M21.16 26.59 C20.7 25.63, 20.24 24.67, 19.28 22.67 M19.28 22.67 C18.76 21.74, 18.24 20.81, 17.17 18.92 M19.28 22.67 C18.84 21.88, 18.39 21.09, 17.17 18.92 M17.17 18.92 C16.5 17.9, 15.84 16.88, 14.82 15.33 M17.17 18.92 C16.46 17.83, 15.74 16.74, 14.82 15.33 M14.82 15.33 C13.91 14.11, 12.99 12.9, 12.25 11.91 M14.82 15.33 C14.09 14.35, 13.35 13.38, 12.25 11.91 M12.25 11.91 C11.65 11.21, 11.05 10.51, 9.47 8.67 M12.25 11.91 C11.36 10.87, 10.47 9.83, 9.47 8.67 M9.47 8.67 C8.82 7.99, 8.17 7.32, 6.5 5.6 M9.47 8.67 C8.75 7.92, 8.03 7.18, 6.5 5.6 M6.5 5.6 C5.55 4.73, 4.59 3.86, 3.34 2.71 M6.5 5.6 C5.46 4.65, 4.42 3.7, 3.34 2.71 M3.34 2.71 C2.49 2.03, 1.65 1.34, 0 0 M3.34 2.71 C2.1 1.71, 0.86 0.7, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(749.753183882034 264.4569273796358) rotate(0 -3.0086422252335296 -13.781180939703233)" fill-rule="evenodd"><path d="M0 0 L3.26 -2.8 L6.35 -5.81 L9.26 -9.01 L11.96 -12.4 L14.46 -15.96 L16.73 -19.68 L18.77 -23.55 L20.57 -27.56 L-26.59 -27.56 L-25.46 -25.4 L-24.25 -23.29 L-22.96 -21.23 L-21.59 -19.22 L-20.15 -17.26 L-18.64 -15.36 L-17.06 -13.52 L-15.41 -11.74 L-13.69 -10.03 L-11.91 -8.38 L-10.07 -6.8 L-8.17 -5.29 L-6.21 -3.85 L-4.19 -2.49 L-2.12 -1.21 L0 0" stroke="none" stroke-width="0" fill="#019B8F" fill-rule="evenodd"></path><path d="M0 0 C1.2 -1.03, 2.39 -2.05, 3.26 -2.8 M0 0 C1.09 -0.93, 2.17 -1.86, 3.26 -2.8 M3.26 -2.8 C4.45 -3.96, 5.64 -5.11, 6.35 -5.81 M3.26 -2.8 C4.42 -3.93, 5.58 -5.06, 6.35 -5.81 M6.35 -5.81 C7.15 -6.68, 7.94 -7.56, 9.26 -9.01 M6.35 -5.81 C7.45 -7.02, 8.55 -8.23, 9.26 -9.01 M9.26 -9.01 C9.9 -9.81, 10.53 -10.61, 11.96 -12.4 M9.26 -9.01 C10.05 -10.01, 10.85 -11, 11.96 -12.4 M11.96 -12.4 C12.65 -13.38, 13.33 -14.35, 14.46 -15.96 M11.96 -12.4 C12.95 -13.81, 13.95 -15.23, 14.46 -15.96 M14.46 -15.96 C15.06 -16.95, 15.67 -17.95, 16.73 -19.68 M14.46 -15.96 C15.28 -17.3, 16.1 -18.65, 16.73 -19.68 M16.73 -19.68 C17.44 -21.02, 18.15 -22.37, 18.77 -23.55 M16.73 -19.68 C17.19 -20.56, 17.66 -21.43, 18.77 -23.55 M18.77 -23.55 C19.46 -25.08, 20.15 -26.62, 20.57 -27.56 M18.77 -23.55 C19.27 -24.65, 19.76 -25.74, 20.57 -27.56 M20.57 -27.56 C4.04 -27.56, -12.5 -27.56, -26.59 -27.56 M20.57 -27.56 C1.99 -27.56, -16.6 -27.56, -26.59 -27.56 M-26.59 -27.56 C-26.34 -27.09, -26.09 -26.61, -25.46 -25.4 M-26.59 -27.56 C-26.18 -26.77, -25.76 -25.98, -25.46 -25.4 M-25.46 -25.4 C-25.06 -24.71, -24.66 -24.02, -24.25 -23.29 M-25.46 -25.4 C-25.19 -24.93, -24.92 -24.47, -24.25 -23.29 M-24.25 -23.29 C-23.92 -22.77, -23.59 -22.24, -22.96 -21.23 M-24.25 -23.29 C-23.83 -22.63, -23.42 -21.97, -22.96 -21.23 M-22.96 -21.23 C-22.68 -20.82, -22.4 -20.41, -21.59 -19.22 M-22.96 -21.23 C-22.52 -20.58, -22.08 -19.93, -21.59 -19.22 M-21.59 -19.22 C-21.18 -18.66, -20.77 -18.1, -20.15 -17.26 M-21.59 -19.22 C-21.22 -18.71, -20.85 -18.21, -20.15 -17.26 M-20.15 -17.26 C-19.72 -16.71, -19.28 -16.17, -18.64 -15.36 M-20.15 -17.26 C-19.7 -16.69, -19.24 -16.12, -18.64 -15.36 M-18.64 -15.36 C-18.08 -14.71, -17.52 -14.06, -17.06 -13.52 M-18.64 -15.36 C-18.26 -14.92, -17.87 -14.47, -17.06 -13.52 M-17.06 -13.52 C-16.45 -12.86, -15.84 -12.21, -15.41 -11.74 M-17.06 -13.52 C-16.63 -13.07, -16.21 -12.61, -15.41 -11.74 M-15.41 -11.74 C-15.01 -11.35, -14.62 -10.96, -13.69 -10.03 M-15.41 -11.74 C-14.76 -11.09, -14.11 -10.44, -13.69 -10.03 M-13.69 -10.03 C-13.29 -9.66, -12.9 -9.29, -11.91 -8.38 M-13.69 -10.03 C-13.2 -9.57, -12.7 -9.11, -11.91 -8.38 M-11.91 -8.38 C-11.34 -7.89, -10.76 -7.39, -10.07 -6.8 M-11.91 -8.38 C-11.32 -7.88, -10.74 -7.37, -10.07 -6.8 M-10.07 -6.8 C-9.49 -6.34, -8.91 -5.88, -8.17 -5.29 M-10.07 -6.8 C-9.41 -6.28, -8.75 -5.75, -8.17 -5.29 M-8.17 -5.29 C-7.5 -4.8, -6.83 -4.31, -6.21 -3.85 M-8.17 -5.29 C-7.48 -4.79, -6.8 -4.28, -6.21 -3.85 M-6.21 -3.85 C-5.69 -3.5, -5.17 -3.15, -4.19 -2.49 M-6.21 -3.85 C-5.73 -3.53, -5.25 -3.21, -4.19 -2.49 M-4.19 -2.49 C-3.61 -2.13, -3.03 -1.77, -2.12 -1.21 M-4.19 -2.49 C-3.56 -2.1, -2.92 -1.7, -2.12 -1.21 M-2.12 -1.21 C-1.28 -0.72, -0.43 -0.24, 0 0 M-2.12 -1.21 C-1.66 -0.94, -1.2 -0.68, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(939.0443601119622 340.2827793322051) rotate(0 42.68583962609307 10.252974667278352)" fill-rule="evenodd"><path d="M0 0 L11.28 0.73 L22.15 2.82 L32.51 6.18 L42.27 10.67 L87.05 -43.1 L-1.67 -43.1 L-1.67 63.61 L-1.67 0 L0 0" stroke="none" stroke-width="0" fill="#e9478b" fill-rule="evenodd"></path><path d="M0 0 C3.05 0.2, 6.1 0.39, 11.28 0.73 M0 0 C3.89 0.25, 7.77 0.5, 11.28 0.73 M11.28 0.73 C15.08 1.46, 18.88 2.19, 22.15 2.82 M11.28 0.73 C13.75 1.2, 16.22 1.68, 22.15 2.82 M22.15 2.82 C25.02 3.75, 27.88 4.68, 32.51 6.18 M22.15 2.82 C25.29 3.84, 28.43 4.86, 32.51 6.18 M32.51 6.18 C34.55 7.12, 36.58 8.05, 42.27 10.67 M32.51 6.18 C35.54 7.57, 38.56 8.96, 42.27 10.67 M42.27 10.67 C53.2 -2.46, 64.13 -15.59, 87.05 -43.1 M42.27 10.67 C56.58 -6.52, 70.89 -23.7, 87.05 -43.1 M87.05 -43.1 C51.68 -43.1, 16.31 -43.1, -1.67 -43.1 M87.05 -43.1 C59.53 -43.1, 32.01 -43.1, -1.67 -43.1 M-1.67 -43.1 C-1.67 -12.89, -1.67 17.33, -1.67 63.61 M-1.67 -43.1 C-1.67 -17.84, -1.67 7.42, -1.67 63.61 M-1.67 63.61 C-1.67 45.62, -1.67 27.62, -1.67 0 M-1.67 63.61 C-1.67 50.62, -1.67 37.64, -1.67 0 M-1.67 0 C-1.28 0, -0.89 0, 0 0 M-1.67 0 C-1.11 0, -0.54 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(981.3117095100373 350.9542442275008) rotate(0 0.313865675504303 30.654291467283997)" fill-rule="evenodd"><path d="M0 0 L-43.94 52.94 L-43.94 61.31 L44.57 61.31 L42.15 51.62 L38.69 42.37 L34.27 33.63 L28.95 25.48 L22.8 17.96 L15.88 11.17 L8.26 5.16 L0 0" stroke="none" stroke-width="0" fill="#3ebeb0" fill-rule="evenodd"></path><path d="M0 0 C-9.55 11.5, -19.09 23, -43.94 52.94 M0 0 C-11.09 13.36, -22.17 26.71, -43.94 52.94 M-43.94 52.94 C-43.94 56, -43.94 59.05, -43.94 61.31 M-43.94 52.94 C-43.94 56.06, -43.94 59.18, -43.94 61.31 M-43.94 61.31 C-16.39 61.31, 11.17 61.31, 44.57 61.31 M-43.94 61.31 C-10.21 61.31, 23.51 61.31, 44.57 61.31 M44.57 61.31 C44.04 59.18, 43.5 57.04, 42.15 51.62 M44.57 61.31 C44.02 59.09, 43.46 56.88, 42.15 51.62 M42.15 51.62 C41.01 48.57, 39.87 45.52, 38.69 42.37 M42.15 51.62 C41.05 48.69, 39.96 45.75, 38.69 42.37 M38.69 42.37 C37.68 40.36, 36.66 38.35, 34.27 33.63 M38.69 42.37 C37.06 39.14, 35.42 35.91, 34.27 33.63 M34.27 33.63 C32.98 31.65, 31.69 29.67, 28.95 25.48 M34.27 33.63 C33.19 31.98, 32.11 30.32, 28.95 25.48 M28.95 25.48 C27.13 23.25, 25.31 21.03, 22.8 17.96 M28.95 25.48 C26.5 22.48, 24.05 19.48, 22.8 17.96 M22.8 17.96 C20.69 15.89, 18.58 13.82, 15.88 11.17 M22.8 17.96 C20.9 16.1, 19 14.23, 15.88 11.17 M15.88 11.17 C13.98 9.67, 12.08 8.17, 8.26 5.16 M15.88 11.17 C13.14 9.01, 10.41 6.85, 8.26 5.16 M8.26 5.16 C5.36 3.35, 2.46 1.53, 0 0 M8.26 5.16 C5.29 3.31, 2.33 1.45, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(981.3117095100373 350.9542442275008) rotate(0 -14.751722667871604 30.654291467283997)" fill-rule="evenodd"><path d="M0 0 L-43.94 52.94 L-43.94 61.31 L-28.25 61.31 L14.44 9.83 L12.48 8.32 L10.29 6.66 L7.53 4.6 L2.67 1.52 L0.77 0.43" stroke="none" stroke-width="0" fill="#37a595" fill-rule="evenodd"></path><path d="M0 0 C-9.11 10.98, -18.23 21.96, -43.94 52.94 M0 0 C-16.18 19.49, -32.36 38.99, -43.94 52.94 M-43.94 52.94 C-43.94 55.91, -43.94 58.88, -43.94 61.31 M-43.94 52.94 C-43.94 56.29, -43.94 59.63, -43.94 61.31 M-43.94 61.31 C-40.29 61.31, -36.64 61.31, -28.25 61.31 M-43.94 61.31 C-39.35 61.31, -34.75 61.31, -28.25 61.31 M-28.25 61.31 C-19.13 50.31, -10.01 39.32, 14.44 9.83 M-28.25 61.31 C-12.86 42.75, 2.53 24.2, 14.44 9.83 M14.44 9.83 C13.69 9.26, 12.95 8.68, 12.48 8.32 M14.44 9.83 C13.69 9.26, 12.94 8.68, 12.48 8.32 M12.48 8.32 C11.82 7.82, 11.16 7.32, 10.29 6.66 M12.48 8.32 C11.67 7.7, 10.86 7.09, 10.29 6.66 M10.29 6.66 C9.44 6.02, 8.59 5.39, 7.53 4.6 M10.29 6.66 C9.59 6.14, 8.9 5.62, 7.53 4.6 M7.53 4.6 C6.18 3.75, 4.83 2.89, 2.67 1.52 M7.53 4.6 C6.41 3.89, 5.28 3.18, 2.67 1.52 M2.67 1.52 C2.08 1.18, 1.5 0.85, 0.77 0.43 M2.67 1.52 C2.16 1.23, 1.66 0.94, 0.77 0.43 M0.77 0.43 C0.54 0.3, 0.32 0.18, 0 0 M0.77 0.43 C0.58 0.32, 0.4 0.22, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(939.0443601119622 340.2827793322051) rotate(0 20.29669623851032 31.80513759882473)" fill-rule="evenodd"><path d="M0 0 L-1.67 0 L-1.67 63.61 L42.27 10.67 L32.51 6.18 L22.15 2.82 L11.28 0.73 L0 0" stroke="none" stroke-width="0" fill="#353535" fill-rule="evenodd"></path><path d="M0 0 C-0.37 0, -0.73 0, -1.67 0 M0 0 C-0.55 0, -1.11 0, -1.67 0 M-1.67 0 C-1.67 20.84, -1.67 41.68, -1.67 63.61 M-1.67 0 C-1.67 19.02, -1.67 38.04, -1.67 63.61 M-1.67 63.61 C10.99 48.36, 23.64 33.11, 42.27 10.67 M-1.67 63.61 C8.12 51.81, 17.91 40.02, 42.27 10.67 M42.27 10.67 C38.5 8.93, 34.73 7.2, 32.51 6.18 M42.27 10.67 C40.08 9.67, 37.9 8.66, 32.51 6.18 M32.51 6.18 C28.87 5, 25.22 3.82, 22.15 2.82 M32.51 6.18 C30.4 5.49, 28.28 4.81, 22.15 2.82 M22.15 2.82 C19.61 2.33, 17.07 1.84, 11.28 0.73 M22.15 2.82 C18.69 2.16, 15.23 1.49, 11.28 0.73 M11.28 0.73 C6.99 0.45, 2.7 0.17, 0 0 M11.28 0.73 C7.39 0.48, 3.49 0.22, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(596.7301997380554 47.72064031559046) rotate(0 87.05377840530127 50.619958986528275)"><path d="M1.55 3.78 C39.76 3.4, 74.8 4.91, 175.36 7.31 M-1.25 -0.44 C49.06 2.58, 100.15 5.26, 172.75 7.09 M172.03 7.41 C174.62 29.09, 172.31 53.86, 171.95 101.68 M170.82 9.89 C169.07 32.78, 170.13 59.28, 170.16 101.37" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(596.7301997380554 47.72064031559046) rotate(0 87.05377840530127 50.619958986528275)"><path d="M161.29 77.02 C165.29 79.48, 166.02 85.05, 173.53 99.68 M158.48 72.8 C162.21 82.68, 166.47 90.9, 170.91 99.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(596.7301997380554 47.72064031559046) rotate(0 87.05377840530127 50.619958986528275)"><path d="M181.81 76.9 C181.46 79.23, 177.83 84.83, 173.53 99.68 M179 72.68 C176.78 82.76, 175.1 91.02, 170.91 99.46" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(563.4152141625772 103.72064031559057) rotate(0 -0.8177860812580775 51.95185490325099)"><path d="M-3.7 0.01 C4.78 25.05, -2.15 54.64, 1.68 103.89 M0.51 1.86 C0.53 24.66, -1.9 47.31, 2.07 102.99" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(563.4152141625772 103.72064031559057) rotate(0 -0.8177860812580775 51.95185490325099)"><path d="M-13.28 75.36 C-3.19 81.14, -7.3 91.67, 3.35 102.88 M-9.06 77.2 C-5.68 82.97, -5.6 88.58, 3.74 101.99" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(563.4152141625772 103.72064031559057) rotate(0 -0.8177860812580775 51.95185490325099)"><path d="M7.22 74.35 C12.21 80.72, 2.97 91.5, 3.35 102.88 M11.44 76.19 C10.23 82.16, 5.73 87.99, 3.74 101.99" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(534.9457225255261 242.8149448668894) rotate(0 -76.99050485933617 -82.19428773255675)"><path d="M1.76 2 C-56.82 -56.06, -110.36 -113.5, -154.1 -166.39 M-0.09 1.42 C-56.36 -60.01, -112.35 -117.27, -155.74 -164.96" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(534.9457225255261 242.8149448668894) rotate(0 -76.99050485933617 -82.19428773255675)"><path d="M-126.98 -148.95 C-141.83 -154.1, -150.46 -159.16, -154 -167.23 M-129.14 -149.62 C-138.26 -157.52, -148.86 -161.34, -155.92 -165.57" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(534.9457225255261 242.8149448668894) rotate(0 -76.99050485933617 -82.19428773255675)"><path d="M-142.02 -134.99 C-151.61 -144.91, -155.02 -154.83, -154 -167.23 M-144.18 -135.66 C-148.15 -148.4, -153.43 -157.16, -155.92 -165.57" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(886.0401972966491 265.7206403155906) rotate(0 68.69000244140625 12.5)"><text x="68.69000244140625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Ad-hoc search</text></g><g transform="translate(640.7002009587585 22.720640315590572) rotate(0 52.029998779296875 12.5)"><text x="52.029998779296875" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">ingest logs</text></g><g transform="translate(710.8401927190124 273.7206403155906) rotate(0 64.89000701904297 25)"><text x="64.89000701904297" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">elasticsearch</text><text x="64.89000701904297" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">cluster</text></g><g transform="translate(529.500200195819 134.72064031559057) rotate(0 37.22999954223633 12.5)"><text x="37.22999954223633" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">failures</text></g><g transform="translate(286.8901957707702 219.72064031559057) rotate(0 54.840003967285156 12.5)"><text x="54.840003967285156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">notification</text></g><g transform="translate(407.8001994328796 11.720640315590572) rotate(0 31.93000030517578 12.5)"><text x="31.93000030517578" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">trigger</text></g><g transform="translate(73.78019516041866 214.72064031559057) rotate(270.8425242607404 65.95000457763672 12.5)"><text x="65.95000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC flow logs</text></g><g transform="translate(92.070196075946 368.2206403155906) rotate(0 69.66000366210938 12.5)"><text x="69.66000366210938" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">other log files</text></g><g stroke-linecap="round"><g transform="translate(940.7301997380554 64.72064031559057) rotate(0 -56.382559607736766 65.68734710942954)"><path d="M3.59 3.13 C-35.36 37.24, -75.7 80.74, -113.81 129.96 M-0.99 1.42 C-33.64 43.38, -74.21 85.46, -116.35 129.8" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(940.7301997380554 64.72064031559057) rotate(0 -56.382559607736766 65.68734710942954)"><path d="M-100.81 105.42 C-107.87 108.03, -114.94 118.76, -113.16 128.75 M-105.38 103.7 C-105.83 111.1, -112.57 119.85, -115.7 128.6" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(940.7301997380554 64.72064031559057) rotate(0 -56.382559607736766 65.68734710942954)"><path d="M-85.92 119.54 C-97.89 117.5, -109.67 123.76, -113.16 128.75 M-90.5 117.83 C-95.96 120.85, -107.49 125.05, -115.7 128.6" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(935.7301997380554 344.7206403155906) rotate(0 -56.90072685945779 -65.4862328870222)"><path d="M-3.03 -2.26 C-36.41 -42.73, -71.26 -83.47, -114.98 -132.81 M1.17 1.84 C-28.03 -33.92, -56.97 -65.18, -114.2 -129.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(935.7301997380554 344.7206403155906) rotate(0 -56.90072685945779 -65.4862328870222)"><path d="M-90.8 -117.54 C-96.74 -119.07, -101.99 -121.1, -114.18 -132.27 M-86.59 -113.44 C-94.63 -119.65, -100.67 -120.95, -113.4 -128.92" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(935.7301997380554 344.7206403155906) rotate(0 -56.90072685945779 -65.4862328870222)"><path d="M-106.1 -103.86 C-106.67 -109.93, -106.81 -116.53, -114.18 -132.27 M-101.89 -99.76 C-105.77 -109.58, -107.84 -114.42, -113.4 -128.92" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(841.9001998143493 128.72064031559057) rotate(0 31.829999923706055 12.5)"><text x="31.829999923706055" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">search</text></g><g stroke-linecap="round" transform="translate(334.5145306633266 34.78430794226142) rotate(0 2.0171985691591203 11.564134366870178)"><path d="M1.69 -1.08 L3.9 -0.36 L3.87 23.54 L0.8 22.62" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.2 -0.12 C1.25 -0.06, 2.43 0.17, 3.96 -0.33 M-0.16 -0.16 C1.53 0.13, 2.97 0, 3.94 0.14 M5.01 -0.48 C4.3 6.55, 2.26 9.6, 3.46 24.35 M4.94 -0.24 C5.12 6.32, 4.62 13.12, 3.99 24.03 M4.29 22.82 C2.89 22.97, 1.26 22.94, 0.12 23.36 M4.22 23.2 C2.87 23.25, 1.65 23.27, -0.2 23.21 M-1.24 24.12 C-1.84 14.45, 0.15 7.01, 0.31 1.68 M0.58 23.22 C0.46 15.86, -0.57 9.34, 0.88 0.89" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(346.77210543491867 55.61977859125432) rotate(119.99999999999997 2.0171985691591203 11.564134366870178)"><path d="M-0.14 -0.36 L3.87 0.41 L4.83 22.62 L1.24 23.33" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.02 -0.07 C1.08 0.17, 2.11 -0.32, 4.27 -0.36 M0.09 0.1 C0.97 0, 1.66 0.17, 3.91 -0.06 M4.36 1 C2.44 3.36, 3.57 10.93, 3.4 24.48 M4.96 0.12 C4.67 5.51, 4.2 10.49, 4.84 23.68 M4.42 22.97 C3.19 22.91, 1.88 23.33, -0.11 22.74 M3.97 23.23 C2.41 23.26, 0.96 23.23, 0.09 23.21 M-1.74 22.38 C0.38 18.01, 0.45 15.1, 0.01 -1.57 M0.28 22.81 C-0.88 16.11, 0.75 9.76, 0.84 -0.54" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(321.9211791412321 56.41905008731828) rotate(239.99999999999994 2.0171985691591203 11.564134366870178)"><path d="M-0.16 0.41 L4.83 -0.51 L5.28 23.33 L0.69 23.39" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.02 0.16 C1.01 -0.32, 2.41 -0.35, 3.7 -0.32 M0.09 -0.03 C0.79 0.12, 1.65 -0.08, 3.85 0.1 M2.33 -1.5 C3.5 7.61, 3.44 14.13, 2.18 24.93 M4.46 0.71 C4.2 7.28, 5.05 13.31, 3.85 23.77 M4.33 22.94 C3.24 23.34, 2.11 22.73, 0.23 23.51 M3.85 23.24 C2.47 23.23, 1.4 23.23, -0.18 23 M0.24 22.87 C0.51 16.73, 0.21 5.39, 0.17 1.16 M-0.75 23.24 C0.82 16.87, 0.78 8.28, -0.07 -0.18" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(329.5945677800752 27.517667903481197) rotate(0 6.773064509299161 6.773064509299161)"><path d="M7.59 0.65 C8.75 0.95, 10.25 1.21, 11.26 2.25 C12.27 3.3, 13.55 5.26, 13.66 6.91 C13.77 8.56, 12.93 11.21, 11.94 12.17 C10.94 13.14, 9.14 12.55, 7.69 12.7 C6.24 12.85, 4.45 13.68, 3.24 13.08 C2.03 12.48, 0.92 10.72, 0.41 9.11 C-0.09 7.51, -0.36 4.7, 0.19 3.46 C0.74 2.22, 2.13 2.04, 3.73 1.66 C5.34 1.28, 8.94 1.36, 9.82 1.2 C10.7 1.03, 9.23 0.73, 9.02 0.68 M8.4 0.19 C9.77 0.34, 11.38 1.35, 12.16 2.26 C12.93 3.16, 13.04 4.31, 13.04 5.62 C13.03 6.94, 13.04 8.69, 12.11 10.14 C11.19 11.59, 8.79 13.64, 7.48 14.33 C6.17 15.02, 5.25 15.04, 4.25 14.28 C3.25 13.52, 1.95 11.31, 1.49 9.78 C1.02 8.26, 1.26 6.44, 1.46 5.13 C1.66 3.82, 1.74 2.94, 2.69 1.92 C3.64 0.91, 6.36 -0.87, 7.16 -0.97 C7.97 -1.06, 7.53 1.12, 7.5 1.36" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M3.25 -0.22 C4.25 -0.63, 6.28 0.09, 7.89 0.71 C9.5 1.32, 11.99 2.41, 12.91 3.46 C13.82 4.52, 13.48 5.78, 13.36 7.05 C13.23 8.32, 13.22 10.15, 12.15 11.08 C11.07 12.01, 8.4 12.48, 6.91 12.63 C5.43 12.78, 4.33 12.61, 3.24 11.98 C2.14 11.35, 0.92 10.36, 0.35 8.86 C-0.21 7.37, -0.86 4.34, -0.15 3.01 C0.57 1.68, 3.7 1.22, 4.65 0.87 C5.59 0.51, 5.61 0.72, 5.54 0.88 M6.59 1.12 C7.71 1.06, 9.09 1.7, 10.4 2.45 C11.71 3.21, 14.07 4.31, 14.46 5.63 C14.85 6.95, 13.68 8.96, 12.73 10.39 C11.77 11.83, 10.06 13.57, 8.71 14.25 C7.37 14.93, 6.01 14.96, 4.67 14.47 C3.33 13.97, 1.3 12.69, 0.67 11.28 C0.03 9.87, 0.91 7.39, 0.86 6.01 C0.81 4.63, -0.7 3.89, 0.39 2.99 C1.47 2.1, 6.5 0.96, 7.36 0.61 C8.21 0.26, 5.96 0.74, 5.51 0.9" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(352.7236825358633 65.7523809850502) rotate(0 6.773064509299161 6.773064509299161)"><path d="M2.95 0.3 C4.28 -0.48, 6.98 -0.48, 8.55 0.08 C10.13 0.63, 11.59 2.58, 12.42 3.65 C13.25 4.72, 13.65 5.08, 13.53 6.48 C13.42 7.89, 12.71 10.86, 11.71 12.08 C10.72 13.29, 9.06 13.87, 7.55 13.79 C6.04 13.72, 3.85 12.34, 2.65 11.63 C1.45 10.91, 0.56 10.63, 0.37 9.5 C0.17 8.37, 0.77 6.4, 1.49 4.84 C2.2 3.28, 3.82 0.92, 4.65 0.12 C5.47 -0.68, 6.29 -0.13, 6.44 0.06 M6.43 0.25 C7.55 -0.15, 8.83 -0.24, 9.94 0.41 C11.06 1.06, 12.74 2.5, 13.1 4.16 C13.45 5.82, 12.54 8.7, 12.08 10.37 C11.61 12.05, 11.3 13.67, 10.31 14.21 C9.33 14.75, 7.47 14.14, 6.18 13.62 C4.89 13.1, 3.66 12.16, 2.58 11.09 C1.5 10.02, -0.1 8.86, -0.28 7.21 C-0.46 5.56, 0.45 2.17, 1.49 1.17 C2.53 0.18, 5.29 1.45, 5.96 1.24 C6.63 1.04, 5.55 0.07, 5.52 -0.07" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M3.06 1.09 C4.49 0.62, 7.45 0.44, 8.96 0.65 C10.48 0.86, 11.27 1.35, 12.14 2.36 C13.02 3.37, 14.37 5.33, 14.23 6.71 C14.09 8.09, 12.38 9.53, 11.32 10.62 C10.27 11.72, 9.27 12.91, 7.9 13.28 C6.53 13.65, 4.51 13.76, 3.1 12.85 C1.68 11.94, -0.15 9.21, -0.61 7.83 C-1.07 6.45, -0.51 5.71, 0.32 4.57 C1.15 3.43, 3.65 1.58, 4.37 1.01 C5.1 0.43, 4.61 1, 4.65 1.15 M7.12 1.37 C8.59 1.33, 11.62 1.75, 12.64 2.69 C13.66 3.62, 13.45 5.42, 13.22 6.97 C13 8.51, 12.14 10.72, 11.3 11.95 C10.45 13.18, 9.45 14.12, 8.13 14.36 C6.81 14.61, 4.48 14.25, 3.39 13.42 C2.29 12.59, 2.34 10.62, 1.56 9.39 C0.79 8.16, -1.68 7.29, -1.25 6.04 C-0.82 4.79, 2.81 2.78, 4.14 1.89 C5.47 1.01, 6.45 0.88, 6.72 0.73 C7 0.58, 5.97 0.92, 5.79 1.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(307.1905879216491 67.2185058596317) rotate(0 6.773064509299161 6.773064509299161)"><path d="M8.56 0.08 C10.08 0.53, 11.59 2.58, 12.42 3.65 C13.25 4.72, 13.65 5.08, 13.53 6.49 C13.41 7.89, 12.71 10.86, 11.71 12.08 C10.71 13.29, 9.06 13.87, 7.55 13.79 C6.04 13.72, 3.85 12.34, 2.65 11.63 C1.45 10.91, 0.56 10.63, 0.37 9.5 C0.17 8.37, 1 6.32, 1.49 4.84 C1.97 3.36, 2.09 1.37, 3.28 0.61 C4.47 -0.16, 7.62 0.17, 8.62 0.23 C9.63 0.29, 9.37 0.74, 9.33 0.96 M6.62 -0.66 C7.89 -0.81, 10.25 -0.06, 11.24 1.21 C12.23 2.47, 12.28 5.14, 12.55 6.92 C12.83 8.69, 13.38 10.77, 12.9 11.87 C12.42 12.96, 10.92 13.26, 9.66 13.49 C8.4 13.72, 6.87 13.7, 5.34 13.23 C3.8 12.75, 1.37 12.12, 0.45 10.62 C-0.46 9.13, -0.52 5.6, -0.14 4.26 C0.24 2.92, 1.59 3.31, 2.73 2.56 C3.87 1.81, 6 0.2, 6.7 -0.25 C7.4 -0.71, 6.84 -0.1, 6.93 -0.17" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M4.68 0.94 C6.03 0.19, 7.26 -0.43, 8.68 -0.17 C10.1 0.1, 12.45 1.39, 13.2 2.55 C13.96 3.7, 13.44 5.27, 13.21 6.77 C12.98 8.27, 12.82 10.33, 11.82 11.54 C10.83 12.75, 8.89 14.07, 7.22 14.04 C5.54 14.02, 3.01 12.26, 1.78 11.39 C0.56 10.52, 0.09 10.02, -0.13 8.84 C-0.35 7.66, -0.16 5.57, 0.45 4.31 C1.07 3.05, 2.87 1.79, 3.55 1.3 C4.24 0.81, 4.36 1.33, 4.57 1.36 M10.34 1.25 C11.63 1.59, 12.06 3.03, 12.38 4.39 C12.71 5.76, 12.62 7.99, 12.31 9.44 C12 10.89, 11.56 12.33, 10.52 13.09 C9.47 13.85, 7.25 14.24, 6.04 13.98 C4.82 13.72, 4.46 12.4, 3.23 11.53 C2 10.65, -1.19 10.02, -1.34 8.75 C-1.49 7.48, 1.44 5.18, 2.33 3.91 C3.23 2.64, 3.14 1.55, 4.04 1.11 C4.94 0.68, 7.16 1.28, 7.75 1.29 C8.35 1.3, 7.31 1.1, 7.61 1.16" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(327.9072238070845 51.85944559517861) rotate(0 8.53962121327811 8.53962121327811)"><path d="M7.1 0.99 C8.77 0.45, 11.13 -0.55, 12.71 0.3 C14.3 1.15, 15.94 4.2, 16.61 6.09 C17.27 7.98, 17.36 10.13, 16.7 11.63 C16.03 13.14, 14.16 14.09, 12.59 15.13 C11.02 16.17, 8.88 17.88, 7.28 17.85 C5.68 17.82, 4.27 16.5, 2.96 14.96 C1.66 13.42, -0.34 10.57, -0.54 8.59 C-0.74 6.6, 0.39 4.41, 1.74 3.06 C3.1 1.71, 6.61 0.85, 7.59 0.48 C8.56 0.11, 7.58 0.69, 7.58 0.82 M8.95 -0.58 C10.62 -0.3, 12.09 1.75, 13.5 3.35 C14.92 4.96, 16.96 7.33, 17.47 9.03 C17.97 10.72, 17.43 12.21, 16.54 13.53 C15.65 14.85, 14.08 16.35, 12.13 16.95 C10.17 17.55, 6.73 18.06, 4.81 17.12 C2.88 16.18, 1.32 12.88, 0.57 11.31 C-0.18 9.74, -0.13 9.35, 0.29 7.7 C0.71 6.04, 1.64 2.73, 3.08 1.39 C4.52 0.06, 7.89 0.13, 8.92 -0.29 C9.95 -0.72, 9.11 -1.57, 9.27 -1.14" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M10.22 -0.29 C11.98 -0.19, 14.91 1.34, 16.01 2.72 C17.1 4.1, 16.91 6.1, 16.79 7.99 C16.68 9.88, 16.49 12.47, 15.34 14.05 C14.18 15.64, 11.88 17.35, 9.84 17.5 C7.8 17.66, 4.74 15.97, 3.12 15.01 C1.49 14.04, 0.58 13.24, 0.11 11.74 C-0.35 10.23, -0.27 7.61, 0.32 5.97 C0.91 4.33, 1.95 2.67, 3.65 1.88 C5.35 1.09, 9.26 1.37, 10.52 1.22 C11.78 1.07, 11.1 1.02, 11.22 1 M11.99 1.83 C13.22 2.59, 14.51 4.8, 15.21 6.5 C15.91 8.19, 16.61 10.39, 16.18 11.98 C15.75 13.57, 13.91 15.27, 12.63 16.05 C11.36 16.82, 10.45 16.75, 8.51 16.63 C6.56 16.51, 2.15 16.48, 0.97 15.33 C-0.21 14.17, 1.39 11.56, 1.42 9.71 C1.46 7.86, 0.55 5.68, 1.16 4.25 C1.77 2.82, 3.48 1.58, 5.08 1.12 C6.68 0.66, 9.5 1.38, 10.79 1.47 C12.09 1.55, 12.88 1.75, 12.84 1.63" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(353.3732394636273 42.2335947409033) rotate(0 5.469689209382409 5.469689209382409)"><path d="M5.12 -0.77 C6.21 -0.96, 7.83 0.77, 8.79 1.64 C9.75 2.51, 10.66 3.53, 10.88 4.45 C11.09 5.37, 10.57 5.99, 10.06 7.14 C9.54 8.29, 8.65 10.62, 7.78 11.36 C6.91 12.1, 6.06 12.05, 4.83 11.56 C3.6 11.08, 1.21 9.57, 0.38 8.44 C-0.45 7.31, -0.4 5.88, -0.15 4.79 C0.1 3.71, 0.94 2.61, 1.89 1.92 C2.85 1.22, 4.78 0.86, 5.57 0.63 C6.36 0.41, 6.55 0.62, 6.61 0.56 M3.32 1.12 C4.49 1.14, 7.06 1.61, 8.41 2.02 C9.76 2.44, 10.83 2.72, 11.41 3.6 C11.99 4.48, 12.44 6.1, 11.89 7.3 C11.35 8.51, 9.38 10.4, 8.14 10.83 C6.9 11.26, 5.58 9.97, 4.47 9.89 C3.36 9.82, 2.31 11.11, 1.5 10.37 C0.69 9.64, -0.31 6.9, -0.4 5.47 C-0.5 4.05, 0.13 2.96, 0.94 1.85 C1.75 0.74, 3.75 -1.16, 4.45 -1.19 C5.14 -1.22, 4.98 1.4, 5.11 1.67" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M7.36 -0.47 C8.44 -0.37, 8.85 0.25, 9.53 1.24 C10.21 2.23, 11.4 4.06, 11.42 5.47 C11.44 6.87, 10.68 8.88, 9.67 9.66 C8.65 10.44, 6.57 9.97, 5.33 10.14 C4.1 10.32, 3.15 11.09, 2.25 10.7 C1.35 10.3, 0.4 8.86, -0.06 7.8 C-0.52 6.73, -0.97 5.32, -0.51 4.28 C-0.05 3.24, 1.29 2.1, 2.7 1.54 C4.11 0.99, 6.8 1, 7.93 0.95 C9.06 0.89, 9.4 1.07, 9.49 1.21 M5.83 1.65 C6.87 1.91, 8.69 2.69, 9.42 3.5 C10.15 4.3, 10.1 5.55, 10.22 6.46 C10.34 7.38, 11.1 8.1, 10.13 8.99 C9.17 9.87, 5.51 11.52, 4.43 11.77 C3.35 12.02, 4.46 11.17, 3.67 10.47 C2.88 9.76, 0.46 8.61, -0.29 7.53 C-1.04 6.44, -1.18 5.02, -0.84 3.95 C-0.49 2.88, 0.34 1.61, 1.75 1.09 C3.16 0.57, 6.97 1.1, 7.6 0.82 C8.24 0.54, 5.59 -0.38, 5.58 -0.62" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(308.6896763219429 41.557873797959246) rotate(0 5.469689209382409 5.469689209382409)"><path d="M7.79 1.06 C8.85 1.63, 10.04 2.53, 10.48 3.36 C10.93 4.19, 10.74 4.82, 10.46 6.05 C10.18 7.29, 9.54 9.83, 8.79 10.78 C8.04 11.74, 7.25 12.01, 5.97 11.77 C4.69 11.53, 2.14 10.3, 1.12 9.33 C0.1 8.36, -0.16 7.04, -0.15 5.95 C-0.15 4.86, 0.5 3.66, 1.15 2.8 C1.79 1.95, 2.49 1.1, 3.72 0.83 C4.95 0.56, 7.61 1.16, 8.51 1.2 C9.42 1.25, 9.26 1.1, 9.12 1.1 M4.81 1.53 C6.2 1.11, 7.82 0.55, 8.98 0.91 C10.13 1.26, 11.52 2.5, 11.76 3.68 C11.99 4.85, 10.99 7.06, 10.37 7.97 C9.74 8.87, 8.96 8.45, 8.02 9.13 C7.08 9.81, 5.88 12.12, 4.71 12.07 C3.53 12.02, 1.78 9.96, 0.96 8.84 C0.15 7.71, -0.24 6.65, -0.18 5.3 C-0.11 3.95, 0.48 1.36, 1.37 0.74 C2.27 0.11, 4.55 1.66, 5.2 1.54 C5.86 1.41, 5.2 0.29, 5.28 -0.01" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M3.88 -0.74 C4.9 -1.02, 7.24 -0.43, 8.36 0.32 C9.49 1.07, 10.38 2.77, 10.63 3.75 C10.89 4.74, 10.27 5.09, 9.87 6.24 C9.47 7.38, 9.12 9.73, 8.23 10.62 C7.35 11.51, 5.84 11.66, 4.57 11.59 C3.3 11.51, 1.4 10.97, 0.6 10.16 C-0.2 9.36, -0.32 8.02, -0.23 6.77 C-0.13 5.52, 0.19 3.8, 1.17 2.67 C2.15 1.54, 4.74 0.28, 5.64 -0.02 C6.55 -0.31, 6.63 0.85, 6.62 0.92 M6.63 1.38 C7.78 1.5, 8.59 2.3, 9.44 3.04 C10.29 3.79, 12.03 4.64, 11.73 5.87 C11.43 7.1, 8.44 9.47, 7.66 10.41 C6.87 11.35, 8.03 11.49, 7.02 11.5 C6.01 11.51, 2.99 11.15, 1.61 10.47 C0.23 9.79, -0.87 8.59, -1.27 7.43 C-1.68 6.26, -1.71 4.54, -0.82 3.47 C0.08 2.4, 2.99 1.68, 4.1 1 C5.22 0.31, 5.22 -0.33, 5.85 -0.65 C6.49 -0.97, 7.81 -1.19, 7.91 -0.92" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(331.0422055062063 80.44565323208258) rotate(0 5.469689209382409 5.469689209382409)"><path d="M3.47 0.69 C4.41 -0.02, 5.68 -0.95, 6.8 -0.49 C7.92 -0.04, 9.36 2.16, 10.19 3.42 C11.03 4.67, 12.05 6.03, 11.78 7.03 C11.52 8.03, 9.66 8.8, 8.62 9.44 C7.58 10.07, 6.57 10.72, 5.52 10.85 C4.48 10.98, 3.29 10.8, 2.34 10.21 C1.4 9.61, 0.15 8.43, -0.12 7.27 C-0.4 6.12, -0.05 4.53, 0.72 3.29 C1.49 2.04, 3.78 0.34, 4.47 -0.21 C5.17 -0.75, 4.97 -0.02, 4.9 0.01 M8.13 0.54 C9.33 0.63, 10.93 1.76, 11.34 2.85 C11.75 3.94, 11.01 6.11, 10.58 7.07 C10.15 8.02, 9.59 7.74, 8.76 8.58 C7.94 9.43, 6.82 11.98, 5.63 12.13 C4.44 12.28, 2.58 10.46, 1.63 9.47 C0.68 8.49, 0.06 7.55, -0.07 6.22 C-0.2 4.89, 0.13 2.24, 0.86 1.51 C1.59 0.77, 3.11 2.04, 4.32 1.8 C5.53 1.56, 7.43 0.45, 8.11 0.07 C8.79 -0.32, 8.63 -0.86, 8.41 -0.52" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M4.34 0.01 C5.45 -0.16, 6.89 0.56, 7.75 0.93 C8.61 1.3, 9.02 1.16, 9.48 2.22 C9.94 3.28, 10.69 5.91, 10.52 7.29 C10.35 8.67, 9.5 9.75, 8.46 10.5 C7.42 11.26, 5.44 11.85, 4.28 11.84 C3.12 11.82, 2.2 11.29, 1.51 10.41 C0.83 9.53, 0.15 7.91, 0.16 6.58 C0.18 5.26, 0.67 3.42, 1.58 2.47 C2.5 1.51, 4.89 1.27, 5.66 0.85 C6.44 0.43, 6.27 0.1, 6.24 -0.07 M7.31 1.05 C8.56 1.26, 11.05 1.82, 11.37 2.98 C11.7 4.13, 9.51 6.68, 9.25 7.96 C8.99 9.24, 10.63 10.04, 9.81 10.65 C8.98 11.26, 5.92 11.72, 4.29 11.61 C2.67 11.51, 1.01 10.91, 0.05 10.03 C-0.91 9.14, -1.76 7.53, -1.47 6.31 C-1.19 5.1, 1.04 3.94, 1.77 2.75 C2.51 1.57, 1.78 -0.23, 2.94 -0.8 C4.1 -1.37, 8 -0.97, 8.74 -0.69 C9.48 -0.41, 7.58 0.56, 7.38 0.9" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(474.1101893620788 288.7206403155906) rotate(0 96.62001037597656 25)"><text x="96.62001037597656" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">PubSub</text><text x="96.62001037597656" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Dead-Letter Queue</text></g><g stroke-linecap="round" transform="translate(302.03236712744126 265.87930120426245) rotate(0 3.2883930182645713 12.451181784948119)"><path d="M-1.76 0.76 L7.15 1.17 L5.99 23.31 L1.43 25.89" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.08 -0.14 C2.57 -0.57, 5.35 0.64, 6.96 -0.1 M0.28 0 C2.8 0.19, 5.06 -0.3, 6.89 0.2 M6.45 -1.11 C7.04 8.89, 5.51 15.07, 5.07 26.83 M6.77 0.89 C7.26 9.6, 5.71 16.29, 6.09 25.85 M6.21 24.93 C3.83 24.48, 1.45 24.6, 0.11 24.67 M6.78 24.72 C3.99 25.19, 1.36 24.99, -0.25 25.06 M-0.81 24.44 C1.29 18.6, -1.65 11.01, 0.84 -1.47 M-0.38 25.8 C0.08 15.01, -0.69 6.17, 0.82 -0.06" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(363.52751092086044 265.87930120426245) rotate(0 3.2883930182645713 12.451181784948119)"><path d="M0.58 1.17 L5.99 -1.59 L8.01 25.89 L0.52 23.21" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.08 -0.58 C2.22 0.64, 4.1 -0.09, 7.11 -0.4 M0.3 0.17 C1.89 -0.31, 3.99 0.2, 6.54 -0.18 M7.17 1.66 C5.63 7.21, 5.05 15.13, 7.51 23.23 M7.47 0.97 C5.97 5.32, 6.13 13.55, 7.48 25.07 M6.4 24.53 C5.12 24.65, 3.75 24.68, 0.51 24.31 M6.47 25.19 C4.35 24.96, 2.38 25.02, -0.15 24.63 M1.08 24.9 C-1.76 17.93, 0.94 12.08, 1.67 -0.28 M0.04 24.56 C-0.63 19.29, 0.91 12.89, -0.88 0.38" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(309.5881108635821 265.87930120426245) rotate(0 26.021087645442435 12.451181784948119)"><path d="M-0.59 -1.59 L53.48 0.99 L52.56 23.21 L-0.91 25.22" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.1 1.9 C15.7 0.16, 30.67 -0.75, 51.64 1.73 M0.16 -0.96 C16.54 0.32, 31.1 -0.82, 51.69 -0.06 M51.11 0.61 C50.61 8.01, 53.05 10.51, 51.1 25.28 M51.38 -0.98 C51.77 10.63, 53.17 19.53, 51.27 24.35 M52.07 24.12 C36.5 23.91, 21.85 22.8, 0.01 26.14 M51.27 25.18 C38.63 25.85, 26.26 24.52, -0.72 24.5 M-1.86 23.61 C0.7 16.54, 1.53 10.83, -1.2 -0.76 M-0.72 25.26 C0.81 15.13, -0.89 5.85, 0.29 0.58" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(316.0350432334018 275.6010142679984) rotate(0 9.52807633781299 1.9396573749683625)"><path d="M1.43 0.99 L19.58 -1.7 L18.14 4.2 L-0.63 3.14" stroke="none" stroke-width="0" fill="white"></path><path d="M1.12 -0.29 C5.57 -1.34, 7.68 1.46, 19.05 1.72 M0.9 0.57 C6.62 -0.34, 13.1 0.12, 18.53 0.28 M18.76 0.37 C19.22 1.16, 18.86 3.05, 19.4 4.22 M18.96 0.18 C19.21 1.57, 18.88 2.97, 19.07 3.83 M19.37 3.22 C15.9 2.08, 9.81 4.99, -1.08 3.29 M18.33 4.34 C11.21 3.14, 3.58 3.55, -0.22 4.39 M0.16 3.59 C0.36 2.66, -0.2 1.41, 0.35 0.02 M0.16 3.87 C-0.14 2.92, 0.08 1.93, -0.06 -0.15" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(346.32151882381174 273.7489615198531) rotate(0 5.026746144362789 4.643751255045686)"><path d="M0.52 -1.7 L9.14 0.32 L9.42 8.54 L0.76 10.58" stroke="none" stroke-width="0" fill="white"></path><path d="M0.81 -0.61 C3.77 0.88, 7.94 0.92, 10.58 0.16 M-0.05 -0.28 C1.88 -0.09, 3.83 0.09, 10.47 -0.23 M10.49 -0.78 C9.55 3.25, 10.81 6.96, 10.95 8.68 M10.47 0.08 C9.65 1.62, 10.03 3.62, 9.79 9.29 M10.83 8.38 C7.43 9.88, 4.23 8.94, 0.88 8.51 M9.82 8.87 C6.4 9.13, 3.35 9.61, 0 8.82 M0.77 9.16 C-0.6 6.75, 0.8 4.95, -0.32 -0.67 M-0.41 9.46 C0.06 6.44, -0.21 2.67, 0.33 0.23" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(302.84270992555537 296.3795495937493) rotate(0 3.2883930182645713 12.451181784948119)"><path d="M-0.91 0.32 L5.95 -0.74 L7.33 26.19 L-0.9 25.13" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.13 0.57 C1.87 0.63, 4.09 0.14, 5.95 0.62 M-0.11 -0.02 C2.18 0.13, 5.01 -0.12, 6.68 -0.25 M5.64 0.38 C8.47 11.64, 8.63 18.41, 4.61 23.92 M5.81 -0.55 C6.85 9.57, 6.23 19.68, 6.19 25.06 M6.58 25.31 C4.46 24.64, 3.67 24.33, 0.18 24.4 M6.34 24.77 C4.21 25.02, 1.99 24.54, -0.21 25.04 M-1.2 24.14 C1.6 19.34, -0.9 12.18, 0.72 1.64 M0.29 25.49 C-0.07 16.78, 0.94 10.75, 0.26 -0.85" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(364.33785371897386 296.3795495937493) rotate(0 3.2883930182645713 12.451181784948119)"><path d="M-0.63 -0.74 L7.33 1.29 L5.67 25.13 L0.01 26.09" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0 0.59 C1.92 0.05, 2.52 0.56, 6.97 -0.06 M-0.18 0.1 C1.89 -0.15, 3.32 -0.24, 6.89 0.15 M8.35 1.78 C8.39 4.07, 4.5 9.8, 8.47 26.71 M6.63 -0.27 C5.81 7.91, 6 15.96, 6.23 25.67 M6.2 24.7 C5.78 24.43, 4 24.45, 0.32 24.59 M6.5 25.08 C5.15 24.57, 3.52 25.01, -0.24 25.18 M1.8 24.98 C-0.54 16.34, 0.87 12.3, -0.12 -1.76 M-0.29 24.1 C0.65 16.98, 0.19 7.22, -0.46 0.16" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(310.3984536616962 296.3795495937493) rotate(0 26.021087645442435 12.451181784948119)"><path d="M0.76 1.29 L51.14 0.22 L52.05 26.09 L-1.81 23.22" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.05 0.31 C18.19 1.42, 41.41 -0.66, 50.94 -0.7 M0.83 -0.46 C15.58 -0.91, 31.52 0.31, 51.21 -0.47 M53.98 -1.32 C50.3 6.97, 54.16 17.7, 52.39 23.37 M51.47 0.01 C51.66 6.26, 51.71 12.96, 51.14 24.91 M53.8 23.35 C33.75 23.23, 15.34 23.8, -1.67 23.46 M52.04 23.97 C37.88 25.6, 24.28 26.02, -0.14 24.3 M-0.69 23.46 C0.5 20.01, -0.34 10.09, 0.76 0.58 M0.72 25.4 C0.33 15.13, -0.38 7.22, -0.32 -0.37" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(316.8453860315161 306.1012626574859) rotate(0 9.52807633781299 1.9396573749683625)"><path d="M-0.9 0.22 L19.06 1.19 L17.25 2.2 L-1.25 2.34" stroke="none" stroke-width="0" fill="white"></path><path d="M-1.82 1.8 C8.57 -0.22, 13.82 -0.69, 18.93 -1.06 M0.29 -0.72 C7.2 0.54, 11.77 -0.36, 19.24 0.84 M18.68 -0.19 C19.46 1.86, 19.16 2.72, 18.84 3.9 M18.98 0.03 C18.97 1.21, 18.86 2.12, 19.18 3.77 M19.58 2.44 C14.85 2.83, 7.21 2.36, -0.77 3.44 M18.44 4.28 C11.61 4.5, 5.43 3.13, -0.36 4.74 M0.14 4.2 C-0.01 2.36, 0.16 1.63, 0.23 -0.11 M0.05 3.71 C-0.12 3.06, -0.09 2.1, 0.07 0.13" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(347.1318616219254 304.2492099093404) rotate(0 5.026746144362789 4.643751255045686)"><path d="M0.01 1.19 L8.24 -1.68 L8.8 7.74 L0.48 8.1" stroke="none" stroke-width="0" fill="white"></path><path d="M0.6 -0.1 C2.62 -0.44, 6.28 -0.65, 10.35 0.84 M0.48 0.24 C2.13 -0.16, 5.19 0.52, 10.5 0.49 M10.93 0.84 C10.12 1.46, 9.45 4.39, 9.8 8.76 M9.89 0.36 C9.6 2.8, 10.31 5.33, 9.91 9.7 M10.54 8.81 C6.98 8.49, 5.18 8.98, 0.54 9.29 M9.68 9.71 C7.9 9.03, 5.7 9.78, 0.02 9.11 M-0.06 8.47 C0.32 7.44, 0.51 4.78, -0.74 0.67 M-0.21 9.36 C-0.17 5.87, 0.15 3.1, -0.21 0.05" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(271.03019516041866 332.7206403155906) rotate(0 69.70000457763672 12.5)"><text x="69.70000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Storage</text></g><g stroke-linecap="round" transform="translate(544.663060543989 40.40837879958701) rotate(0 2.791429534851545 2.791429534851545)"><path d="M1.48 0.92 C2.14 0.76, 3.23 0.56, 3.78 0.66 C4.33 0.76, 4.55 1.13, 4.77 1.53 C5 1.94, 5.28 2.56, 5.13 3.09 C4.98 3.62, 4.2 4.25, 3.87 4.73 C3.54 5.2, 3.51 5.81, 3.15 5.95 C2.79 6.09, 2.38 5.94, 1.71 5.57 C1.04 5.2, -0.76 4.55, -0.85 3.74 C-0.93 2.92, 0.62 1.3, 1.21 0.67 C1.81 0.03, 2.3 0.09, 2.72 -0.05 C3.14 -0.19, 3.68 -0.23, 3.75 -0.16 M1.36 -1.44 C1.58 -1.21, 3.01 1.31, 3.68 1.89 C4.35 2.46, 4.9 1.86, 5.4 2 C5.89 2.15, 7.15 2.26, 6.65 2.75 C6.15 3.23, 3.23 4.59, 2.4 4.91 C1.57 5.22, 2.08 4.59, 1.67 4.64 C1.27 4.68, 0.06 5.47, -0.04 5.18 C-0.14 4.89, 0.81 3.51, 1.09 2.88 C1.38 2.25, 1.14 1.83, 1.67 1.38 C2.2 0.94, 3.95 0.56, 4.27 0.23 C4.6 -0.11, 3.75 -0.76, 3.61 -0.65" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.9 -0.35 C2.61 -0.59, 3.54 -0.9, 4.17 -0.55 C4.8 -0.19, 5.44 1.14, 5.68 1.8 C5.92 2.46, 5.69 2.83, 5.59 3.41 C5.5 3.98, 5.67 5.02, 5.09 5.23 C4.5 5.45, 2.8 4.75, 2.07 4.7 C1.33 4.65, 1.09 5.26, 0.66 4.93 C0.23 4.6, -0.55 3.33, -0.51 2.75 C-0.46 2.16, 0.57 1.86, 0.92 1.41 C1.28 0.97, 1.44 0.22, 1.61 0.08 C1.78 -0.06, 2.01 0.38, 1.95 0.55 M4.91 -1.33 C5.71 -1.12, 5.76 1.01, 5.94 1.9 C6.13 2.78, 6.07 3.53, 6.02 3.97 C5.96 4.41, 6.02 4.22, 5.61 4.52 C5.21 4.82, 4.31 5.71, 3.6 5.77 C2.88 5.82, 2.09 5.4, 1.33 4.85 C0.57 4.31, -0.69 3.17, -0.97 2.51 C-1.25 1.85, -0.92 1.36, -0.36 0.91 C0.2 0.46, 1.65 -0.06, 2.38 -0.21 C3.12 -0.36, 3.85 0.2, 4.06 0.02 C4.27 -0.17, 3.72 -1.12, 3.62 -1.3" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(557.4271410257919 40.14698502552403) rotate(0 2.791429534851545 2.791429534851545)"><path d="M2.95 0.56 C3.49 0.45, 3.85 0.64, 4.21 0.92 C4.56 1.2, 5.06 1.73, 5.09 2.25 C5.11 2.78, 4.56 3.48, 4.37 4.06 C4.19 4.65, 4.28 5.45, 3.96 5.76 C3.64 6.08, 3.2 6.16, 2.45 5.95 C1.7 5.74, -0.28 5.25, -0.52 4.5 C-0.77 3.76, 0.63 2.12, 0.97 1.46 C1.3 0.81, 0.98 0.86, 1.46 0.58 C1.94 0.3, 3.43 -0.13, 3.83 -0.21 C4.24 -0.29, 4.06 -0.12, 3.9 0.1 M1.54 1.27 C2.31 1.35, 3.27 0.28, 4.16 0.16 C5.05 0.03, 6.91 0, 6.89 0.53 C6.86 1.07, 4.51 2.71, 4.01 3.37 C3.51 4.03, 4.27 3.97, 3.9 4.49 C3.52 5.01, 2.14 6.4, 1.76 6.49 C1.38 6.59, 1.8 5.56, 1.62 5.04 C1.44 4.52, 0.59 4.03, 0.69 3.38 C0.79 2.73, 1.81 1.8, 2.24 1.12 C2.67 0.45, 3.13 -0.61, 3.27 -0.68 C3.42 -0.75, 3.02 0.57, 3.1 0.69" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M2.36 -0.45 C2.92 -0.5, 3.75 0.36, 4.22 0.7 C4.69 1.05, 4.9 1.15, 5.18 1.63 C5.46 2.12, 6.15 3.22, 5.91 3.61 C5.67 4, 4.32 3.68, 3.74 3.99 C3.16 4.3, 2.95 5.41, 2.4 5.46 C1.86 5.51, 0.77 4.64, 0.49 4.27 C0.2 3.9, 0.76 3.7, 0.7 3.22 C0.65 2.74, -0.04 1.83, 0.16 1.38 C0.36 0.92, 1.71 0.6, 1.92 0.51 C2.13 0.41, 1.29 0.91, 1.4 0.81 M3.7 0.6 C4.14 0.97, 4.67 1.29, 5.14 1.54 C5.6 1.79, 6.38 1.6, 6.5 2.09 C6.62 2.58, 6.27 3.94, 5.84 4.48 C5.4 5.01, 4.73 5.3, 3.87 5.31 C3.02 5.31, 1.39 4.8, 0.69 4.49 C-0.02 4.19, -0.37 3.95, -0.36 3.5 C-0.36 3.04, 0.41 2.27, 0.72 1.77 C1.03 1.26, 1.15 1, 1.51 0.46 C1.88 -0.08, 2.69 -1.17, 2.91 -1.48 C3.12 -1.79, 2.88 -1.93, 2.81 -1.4" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(570.180004950544 40.213051909368346) rotate(0 2.791429534851545 2.791429534851545)"><path d="M3.39 0.47 C3.83 0.53, 4.54 0.93, 4.75 1.39 C4.97 1.84, 4.68 2.53, 4.68 3.18 C4.68 3.83, 4.98 4.8, 4.76 5.28 C4.54 5.77, 4.15 6.11, 3.37 6.1 C2.59 6.08, 0.48 5.82, 0.09 5.21 C-0.31 4.59, 0.85 3.04, 0.98 2.39 C1.11 1.74, 0.58 1.71, 0.87 1.3 C1.17 0.9, 2.1 0.13, 2.77 -0.04 C3.45 -0.2, 4.66 0.1, 4.91 0.32 C5.16 0.54, 4.49 1.42, 4.28 1.3 M1.36 0.03 C2.23 -0.71, 4.44 -1.45, 4.82 -1.36 C5.2 -1.27, 3.55 0.01, 3.65 0.59 C3.74 1.17, 5.27 1.29, 5.4 2.13 C5.53 2.97, 4.63 4.99, 4.43 5.66 C4.23 6.32, 4.62 6.08, 4.21 6.12 C3.8 6.15, 2.41 6.24, 1.98 5.87 C1.55 5.49, 1.78 4.67, 1.63 3.86 C1.47 3.05, 0.96 1.51, 1.05 1.02 C1.14 0.54, 1.87 1.08, 2.16 0.93 C2.45 0.79, 2.95 -0.01, 2.81 0.16" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M2.55 0.69 C2.99 0.65, 3.4 0.34, 3.91 0.55 C4.42 0.76, 5.52 1.63, 5.63 1.96 C5.75 2.29, 4.86 2.06, 4.59 2.55 C4.31 3.04, 4.4 4.51, 3.98 4.9 C3.56 5.28, 2.46 4.89, 2.05 4.85 C1.64 4.82, 1.89 4.98, 1.53 4.67 C1.16 4.37, 0.03 3.53, -0.14 3.02 C-0.32 2.51, 0.18 2.01, 0.48 1.63 C0.78 1.24, 1.17 1.04, 1.63 0.7 C2.09 0.36, 3.09 -0.49, 3.23 -0.41 M1.94 1.13 C2.45 0.68, 3.69 -0.29, 4.31 -0.27 C4.94 -0.25, 5.43 0.76, 5.68 1.26 C5.93 1.76, 6.13 2.32, 5.82 2.74 C5.51 3.16, 4.38 3.41, 3.83 3.78 C3.28 4.15, 2.81 4.81, 2.5 4.97 C2.19 5.13, 2.29 4.97, 1.96 4.74 C1.64 4.5, 0.85 4.28, 0.56 3.54 C0.26 2.79, 0.06 1.04, 0.2 0.26 C0.33 -0.52, 1.23 -1.39, 1.38 -1.13 C1.53 -0.88, 1.28 1.68, 1.1 1.78" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(547.231215734489 17.843064840382908) rotate(0 -8.869950666623936 6.093460377105089)" fill-rule="evenodd"><path d="M-0.46 1.84 L-17.25 19.57 L-18.97 7.61 L-7.86 -4.44 L0.94 1.21" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M1.23 -1.31 C-2.98 5.3, -8.26 9.08, -18.05 20.03 M-0.12 -0.59 C-4.79 4.53, -8.12 7.7, -18.87 19.19 M-17.97 18.55 C-18.51 15.95, -19.81 11.25, -18.09 6.77 M-18.47 19.24 C-18.68 14.57, -19.17 9.74, -18.89 6.13 M-18.73 6.37 C-16.11 1.86, -11.87 -2.88, -4.69 -7.84 M-18 6.58 C-15.3 3.2, -12.72 0.2, -6.34 -7.12 M-5.86 -5.89 C-5.32 -4.28, -1.78 -3.47, 0.46 -0.1 M-6.34 -6.36 C-3.49 -4.01, -1.76 -1.81, -0.27 0.37 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(528.3277520366531 55.983773076692955) rotate(180 9.28023169256312 6.887362682336743)" fill-rule="evenodd"><path d="M1.51 0.41 L18.39 20.39 L17.09 8.29 L7.29 -5.14 L-0.22 -1.64" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M1.15 1.14 C4.69 5.39, 9.86 10.22, 16.91 17.41 M-0.72 0.64 C4.52 4.75, 9.28 9.75, 19.12 18.5 M18.87 20.24 C17.37 15.16, 19.07 10.2, 19.29 7.18 M18.86 19.09 C18.21 15.23, 18.32 11.81, 18.88 6.2 M16.85 6.26 C12.87 1.73, 12.23 -3.46, 5.09 -6.44 M19.09 6.09 C15.32 2.42, 11.59 -1.56, 6.29 -6.21 M5.51 -6.12 C5.08 -4.99, 2.56 -2.14, 0.86 -0.19 M6.71 -6.47 C3.46 -4.32, 1.15 -1.04, -0.04 -0.09 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(537.9280110263022 27.262952833610484) rotate(0 -4.758943345520038 15.86862820190629)" fill-rule="evenodd"><path d="M-0.37 1.23 L-1.67 33.62 L-8.42 24.45 L-9.45 7.91 L-0.56 -1.64" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.05 0.65 C0.85 8.31, -1.74 13.13, -1.14 31.46 M-0.16 -0.17 C-0.38 7.67, 0.05 14.62, 0.5 32.33 M-1.38 32.37 C-1.99 30.03, -4.14 28.3, -9.64 23.82 M-0.59 31.34 C-3.33 28.81, -5.65 26.23, -9.18 23.19 M-10.69 22.87 C-7.9 17.98, -10.13 14.97, -9.46 10.48 M-9.15 22.94 C-9.38 18.23, -9.4 14.51, -8.97 9.92 M-7.99 8.34 C-5.22 6.02, -1.38 2.53, 1.17 0.04 M-9.85 8.91 C-6.94 7.27, -3.85 3.74, 0.63 -0.63 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(572.8906581856342 17.61753178153333) rotate(0 9.924807545115982 6.187447904157693)" fill-rule="evenodd"><path d="M-1.51 1.91 L19.7 20.37 L18.38 4.75 L5.79 -8 L-0.33 -0.73" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.71 0.87 C4.85 5.03, 12.41 13.37, 17.58 17.71 M-0.11 0.03 C7.16 6.35, 14.29 14.6, 18.28 19.24 M19.27 19.55 C19.51 15.04, 18.48 9.91, 18.76 6.59 M18.47 18.91 C19.08 15.27, 18.93 11.69, 18.59 5.75 M20.26 4.89 C13.86 2.53, 11.24 0.08, 6.75 -5.37 M18.61 5.62 C15.23 3.06, 12.34 0.01, 6.8 -7.18 M6.81 -6.45 C5.2 -4.53, 3.06 -2.24, -0.01 0.72 M6.08 -5.98 C4.51 -4.76, 3.23 -3.35, -0.41 -0.15 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(592.1973525900015 55.38026400795104) rotate(180 -9.75306689919239 6.707355139696915)" fill-rule="evenodd"><path d="M0.94 1.21 L-18.98 17.52 L-19.16 4.74 L-6.68 -7.09 L1.24 1.57" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-1.85 -1.75 C-7.16 6.21, -13.6 11.38, -17.48 18.84 M0.36 -0.66 C-4.68 6.05, -11.13 10.95, -17.91 18.18 M-18.07 19.96 C-19.04 15.24, -18.54 10.35, -18.72 5.5 M-18.48 18.98 C-18.48 16.02, -18.63 12.35, -18.64 5.76 M-19.86 6.3 C-15.68 4.21, -11.63 0.51, -6.93 -5.81 M-18.66 6.52 C-15.14 3.72, -11.88 -0.85, -6.12 -5.53 M-5.49 -6.54 C-4.2 -4.99, -3.67 -2.97, -0.23 -0.85 M-6.39 -6.44 C-4.67 -5.54, -4.21 -3.96, -0.05 -0.23 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(582.3296825429555 27.240943988289814) rotate(0 4.563478576869443 15.74571371656441)" fill-rule="evenodd"><path d="M-0.22 -1.64 L-0.4 30.07 L9.03 22.51 L10.47 11.12 L1.61 -0.55" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.98 -0.24 C-1.42 9.45, 1.1 21.48, -0.17 31.49 M0.66 0.62 C-0.32 9.69, 1.06 18.23, 0.68 32.11 M-0.12 32.28 C3.31 29.05, 6.07 25.19, 8.63 22.67 M0.33 31.66 C2.52 28.91, 4.88 26.71, 9.19 23.83 M9.12 24.17 C9.74 21.05, 8.95 17.76, 8.62 9.56 M9.61 23.62 C9.69 19.68, 9.49 18.04, 8.61 9.9 M10.4 9.59 C6.46 7.83, 3.47 2.76, -1.28 -0.79 M9.86 8.92 C5.1 5.65, 2.09 1.87, -0.19 0.43 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(493.16020004323116 75.72064031559057) rotate(0 75.56999969482422 12.5)"><text x="75.56999969482422" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Functions</text></g><g stroke-linecap="round" transform="translate(28.105855434610476 31.92691645412401) rotate(0 15.475858186261291 2.5352663907839315)"><path d="M-1.13 -0.04 L29.14 0.11 L32.15 3.09 L-0.94 5.67" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.3 1.12 C9.76 0.57, 22.22 1.4, 30.68 -0.46 M-0.19 0.61 C11.38 0.89, 24.73 0.54, 30.84 -0.82 M30.77 0.31 C31.31 1.79, 30.77 2.91, 30.47 5.12 M30.84 -0.04 C31.25 1.78, 31.18 3.35, 30.85 5.24 M31.47 4.4 C21.71 4.65, 13.7 3.75, 1.15 5.78 M30.85 5.17 C24.65 6.1, 17.2 5.95, 0.65 4.42 M0.24 5.1 C-0.19 4.04, -0.46 2.5, 0.36 -0.12 M-0.08 5.26 C0.16 2.95, -0.13 1.32, 0.06 -0.04" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(29.485904395622697 74.32503734119246) rotate(0 15.475858186261291 2.5352663907839315)"><path d="M-1.82 0.11 L32.15 -1.98 L30.01 5.67 L-1 4.14" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.94 0.88 C13.2 1.53, 24.48 -0.63, 32.79 1.51 M-0.76 0.95 C10.39 0.42, 19.73 -1.01, 30.67 -0.82 M31.35 0.41 C30.79 1.59, 30.45 2.92, 31.22 5.57 M31.2 -0.02 C31.11 1.17, 30.83 2.98, 30.84 5.14 M29.57 4.54 C19.05 3.53, 11.35 5.68, -1.52 5.39 M31.59 6.04 C21.18 5.92, 11.81 4.45, -0.13 5.64 M-0.16 5.5 C-0.46 3.54, 0.34 1.21, 0.43 -0.11 M0.14 4.9 C-0.12 4.06, 0.07 2.7, -0.14 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(49.301859178106156 53.505576866224146) rotate(89.99999999999994 15.475858186261291 2.5352663907839315)"><path d="M1.2 -1.98 L30.01 0.6 L29.95 4.14 L-1.99 3.37" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.82 1.71 C10.74 -0.6, 23.86 1.37, 31.36 -0.37 M0.47 0.61 C11.08 -1.11, 22.09 -1.12, 30.79 -0.37 M30.81 0.16 C30.51 1.88, 31.26 4.17, 30.84 4.85 M31.13 -0.24 C30.9 1.6, 30.88 2.95, 31.04 5.14 M29.43 3.64 C23.85 5.7, 12.93 5.3, 0.39 4.87 M31.08 5.89 C22 4.72, 11.62 5.94, 0.69 5.54 M-0.43 5.41 C0.37 3.4, 0.45 1.87, -0.35 -0.15 M-0.14 5.23 C0.03 3.14, -0.17 1.28, -0.23 0.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(6.666916662919107 54.53834338737829) rotate(89.99999999999994 15.475858186261291 2.5352663907839315)"><path d="M-0.94 0.6 L29.95 -0.93 L28.97 3.37 L-1.46 5.2" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.27 -0.46 C12.48 1.24, 21.7 -0.64, 32.18 -1.51 M-0.11 -0.82 C11.96 -1.01, 24.31 -0.55, 31.57 0.78 M30.47 0.05 C31.21 2.43, 30.82 3.64, 30.87 5.56 M30.85 0.17 C30.87 1.56, 31.08 3.04, 30.87 4.9 M32.1 5.78 C20.97 5.16, 14.42 4.65, 0.2 6.35 M31.6 4.42 C18.54 5.89, 7.08 5.8, 0.05 4.76 M0.36 4.95 C0.47 3.02, -0.31 1.02, 0.37 0.29 M0.06 5.04 C-0.12 3.88, -0.2 2.7, 0.15 -0.25" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(13.03088332203663 25.58520470712301) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-1 -0.93 L6.94 -1.7 L7.46 17.97 L-1.86 18.49" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.82 0.67 C3.62 -0.15, 7.43 -0.65, 9.78 0.42 M-0.12 -0.37 C3.15 -0.09, 6.72 0.42, 9.29 -0.12 M9.89 1.77 C8.36 5.14, 8.47 13.53, 8.8 19.12 M8.52 0.25 C9.17 3.89, 8.56 6.71, 8.69 17.17 M8.25 17.99 C7.06 17.79, 4.94 18.45, 0.86 17.96 M8.87 18.1 C5.82 18, 2.13 17.65, 0.38 17.47 M1.52 17.47 C-1.36 10.76, 1.18 5.76, -1.17 -0.97 M-0.51 17.83 C-0.85 11.45, 0.49 4.08, -0.42 0.27" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(22.29727633225116 25.444219631696342) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-1.99 -1.7 L7.46 0.13 L7.07 18.49 L1.22 19.4" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.18 -0.17 C3.02 -0.74, 5.8 0.35, 9.47 -0.1 M-0.07 -0.16 C2.23 0.42, 4.25 -0.05, 9.06 -0.42 M8.53 -0.76 C8.73 7.24, 8.9 12.3, 7.23 17.14 M9.24 0.23 C8.55 5.9, 8.61 12.36, 8.29 18.36 M9.1 17.76 C6.02 18.43, 3.8 17.97, 0.73 18.42 M9.23 18.06 C6.86 17.76, 5.11 17.52, 0.3 18.16 M-1.24 17.31 C1.15 13.93, -1.32 7.01, 1.09 0.42 M-0.81 17.89 C0.63 11.86, -0.32 7.91, -0.45 -0.41" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(55.75720190933703 25.175062484421233) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-1.46 0.13 L7.07 0.65 L10.14 19.4 L0.67 17.27" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.55 -0.67 C4.2 0.44, 7.24 -0.08, 8.2 -0.25 M0.28 0.35 C2.3 -0.09, 4.03 -0.39, 8.97 0.24 M8.64 1.73 C8.76 8.4, 7.19 13.55, 10.09 17.03 M8.63 -0.62 C8.75 5.18, 8.35 12.23, 9.24 17.17 M9.02 18.41 C6.97 17.95, 4.02 18.41, -0.58 17.73 M8.95 17.71 C6.12 17.51, 2.86 18.2, -0.1 18.23 M1.3 18.86 C-1.04 11.9, 1.21 8.3, -0.25 -1.01 M0.53 16.96 C-0.26 12.79, -0.28 6.79, -0.89 -0.76" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(65.0235949195519 25.034077408995245) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-1.86 0.65 L10.14 1.55 L9.6 17.27 L1.61 18.9" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.85 0.42 C3.05 -0.03, 4.29 -0.18, 8.19 -0.15 M0.36 -0.12 C2.49 -0.49, 4.74 0.17, 9.37 -0.1 M8.8 1.27 C7.21 3.89, 10.06 8.37, 9.43 18.48 M8.69 -0.68 C8.23 6.33, 9.18 10.96, 9.07 18.02 M9.79 17.96 C7.07 18.48, 3.17 17.79, 0.51 18.46 M9.3 17.47 C6.13 18.13, 2.62 18.2, -0.09 17.54 M-1.17 16.88 C0.96 13.45, -0.38 7.2, -0.03 -1.62 M-0.42 18.11 C-0.55 11.98, -0.99 6.19, -0.65 0.06" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(56.26729316645594 68.60500092768689) rotate(0 4.463356649720538 8.923014923342862)"><path d="M1.22 1.55 L9.6 -0.57 L10.54 18.9 L-0.99 18.6" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.54 -0.1 C1.27 -0.29, 3.27 -0.19, 8.6 0.55 M0.14 -0.42 C3.42 0.26, 7.2 -0.08, 8.74 -0.07 M7.23 -0.7 C10.08 6.26, 9.42 14.79, 9.39 17.25 M8.29 0.51 C9.2 3.44, 9.02 8.42, 8.84 17.94 M9.66 18.42 C5.1 17.74, 2.94 18.47, 0.42 17.89 M9.23 18.16 C6.42 18.15, 4.03 17.46, -0.13 18.17 M1.09 18.27 C-0.13 10.46, 0.08 3.48, 0.09 1.07 M-0.45 17.43 C-0.8 13.5, -0.57 10.73, -0.83 0.29" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(65.53368617666968 68.46401585226113) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.67 -0.57 L10.54 1.06 L7.94 18.6 L1.44 17.53" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.73 -0.25 C2.36 -0.14, 5.87 0.56, 9.63 0.72 M0.04 0.24 C2.87 -0.02, 4.67 0.01, 9.36 -0.03 M10.09 -0.82 C9.26 7.26, 9.22 12.66, 7.69 17.37 M9.24 -0.68 C8.94 4.17, 8.71 8.07, 9.5 18.71 M8.34 17.73 C6.64 18.52, 3.77 17.95, -0.28 18.6 M8.82 18.23 C6.92 17.6, 4.96 18.24, 0.25 17.55 M-0.25 16.84 C-0.14 11.84, -0.01 10.14, -1.77 -0.84 M-0.89 17.09 C-0.56 12.01, -0.74 6.36, 0.54 0.69" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(13 68.04902366450006) rotate(0 4.463356649720538 8.923014923342862)"><path d="M1.61 1.06 L7.94 0.76 L10.36 17.53 L0.71 16.97" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-0.73 -0.15 C2.25 0.58, 5.86 0.74, 8.68 0.27 M0.44 -0.1 C1.64 -0.12, 4.09 -0.08, 9.25 -0.42 M9.43 0.63 C9.51 4.06, 7.81 8.83, 7.56 16.57 M9.07 0.18 C8.9 6.47, 9.56 13.62, 9.04 18.58 M9.43 18.46 C6.09 17.88, 2.14 18.58, -0.76 18.44 M8.83 17.54 C5.48 18.25, 2.56 17.63, -0.24 18.12 M-0.03 16.23 C0.12 13.14, -1.74 5.46, 0.54 -0.89 M-0.65 17.9 C-0.65 13.61, 0.72 9.49, 0.3 -0.26" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(22.266393010215438 67.90803858907543) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-0.99 0.76 L10.36 -0.32 L9.63 16.97 L-0.42 17.67" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.33 0.55 C3.13 0.73, 4.61 0.29, 8.08 0.08 M-0.19 -0.07 C3.59 -0.01, 6.63 -0.4, 8.75 0.29 M9.39 -0.59 C7.75 4.06, 7.62 7.79, 9.95 18.48 M8.84 0.09 C9.52 4.86, 9.07 8.73, 9.5 17.26 M9.35 17.89 C6.09 18.66, 3.04 18.51, 0.63 17.64 M8.79 18.17 C5.74 17.49, 1.81 18.06, 0.1 17.78 M0.09 18.91 C-1.76 12.66, 0.54 8.27, -0.83 -1.77 M-0.83 18.14 C0.67 14.7, 0.43 9.91, 0.72 0.47" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(26.105855434610476 155.90500267803077) rotate(0 15.475858186261291 2.5352663907839315)"><path d="M1.54 0.27 L32.73 -1.82 L29.92 3.98 L-0.61 4.77" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.12 -1.13 C4.69 0.63, 12.99 2.13, 32.24 -0.09 M0.83 -0.42 C12.03 -1.25, 24.67 0.3, 30.03 -0.84 M31.35 0.35 C30.79 2.03, 30.96 3.7, 31.34 5.04 M30.96 0.11 C30.85 1.76, 30.71 3.46, 31.13 5.21 M29.8 3.31 C19.97 5.65, 9.81 4.74, 1.32 6.06 M30.95 5.68 C22.24 5.98, 11.97 4.83, 0.25 6.07 M-0.27 5.07 C0.03 3.45, 0.36 2.05, -0.47 0.14 M-0.02 4.92 C-0.16 3.57, 0.16 2.32, -0.17 0.17" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(27.48590439562281 198.30312356509899) rotate(0 15.475858186261291 2.5352663907839315)"><path d="M1.78 -1.82 L29.92 -1.09 L30.34 4.77 L1.33 3.95" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-1.73 0.38 C6.9 2.05, 14.78 0.08, 32.65 1.95 M0.11 -1 C12.63 0.68, 22.68 -0.71, 31.62 0.1 M30.79 0.17 C31 1.4, 31.38 2.8, 31.19 4.66 M30.89 0 C30.76 1.45, 31.13 3.17, 31.02 5.27 M30.11 5.73 C21.58 4.55, 15.25 5.79, -0.11 4.7 M31.35 5.93 C20.37 4.97, 11.55 6.26, 0.33 5.51 M0.05 5.14 C0.41 3.82, -0.44 1.99, -0.08 -0.24 M-0.19 5.02 C0.14 3.8, -0.16 2.41, 0.2 0.03" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(47.30185917810627 177.48366309013068) rotate(89.99999999999994 15.475858186261291 2.5352663907839315)"><path d="M-1.03 -1.09 L30.34 -0.3 L32.28 3.95 L-1.57 6.61" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.15 1.87 C8.82 -0.15, 16.77 1.89, 32.58 1.65 M0.83 0.55 C7.08 -0.53, 16.66 0.41, 30.74 0.8 M30.96 -0.02 C31.33 1.84, 31.18 3.34, 30.95 5.09 M30.76 -0.06 C31.11 1.88, 31.01 3.69, 30.89 4.92 M30.09 4.82 C25.7 6.16, 17.71 4.8, 0.35 5.06 M30.2 4.78 C20.03 6.33, 8.92 5.77, 0.18 4.54 M0.38 5.43 C-0.48 3.69, -0.08 1.79, -0.11 -0.05 M0.13 5.21 C-0.13 4.02, 0.23 2.68, 0.23 -0.23" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(4.6669166629192205 178.51642961128505) rotate(89.99999999999994 15.475858186261291 2.5352663907839315)"><path d="M-0.61 -0.3 L32.28 -1.12 L29.38 6.61 L0.97 4.27" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M1.28 -0.09 C11.57 1.66, 21.37 1.36, 30.12 0.22 M-0.92 -0.84 C6.87 -0.07, 12.2 0.63, 31.65 -0.33 M31.34 -0.03 C31.19 1.28, 30.95 3.39, 31.18 4.94 M31.13 0.14 C30.98 1.72, 30.85 2.9, 30.73 4.96 M32.27 6.06 C20.54 4.66, 10.7 5.02, 1.22 5.87 M31.21 6.07 C19.35 5.42, 7.26 4.45, 0 5.18 M-0.47 5.21 C-0.11 3.24, -0.14 1.84, -0.31 -0.37 M-0.17 5.24 C0.17 3.69, 0.2 2.02, -0.13 -0.14" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(11.030883322036743 149.56329093102954) rotate(0 4.463356649720538 8.923014923342862)"><path d="M1.33 -1.12 L7.36 1.54 L9.9 17.05 L-0.81 17.38" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.76 0.87 C4.24 0.74, 6.65 0.1, 8.04 0.74 M0.3 0.04 C3.08 0.43, 6.65 -0.07, 9.07 0 M9.77 -1.45 C9.05 5.36, 9.86 10.14, 8.93 16.47 M9.17 0.71 C8.83 4.39, 8.27 9.44, 9.22 17.46 M8.88 17.68 C6.52 17.89, 4.34 18.25, 0.76 17.17 M9.07 18.04 C6.59 17.7, 4.1 17.98, 0.06 18.18 M-0.27 17.01 C-0.21 11.07, -0.92 3.31, -0.39 0.93 M0.69 17.97 C0.91 10.67, -0.34 4.64, -0.27 -0.13" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(20.29727633225116 149.42230585560287) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-1.57 1.54 L9.9 -0.8 L8.11 17.38 L0.58 15.87" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.73 0.74 C2.27 0.01, 4.39 0.66, 9.42 -0.82 M-0.09 0.35 C2.24 -0.16, 4 -0.01, 8.91 0.35 M8.92 0.06 C9.8 4.78, 9.01 9.09, 8.48 19.07 M8.7 -0.51 C8.19 5.93, 9.27 12.23, 8.81 18.43 M9.08 17.84 C6.35 18.19, 3.45 17.15, -0.26 18.07 M9.01 17.61 C5.36 17.93, 1.85 18.22, 0.31 17.43 M-0.38 17.69 C-1.06 10.68, -0.36 7.08, 1.01 -1.17 M0.79 17.03 C-0.6 10.83, -0.41 4.66, 0.59 -0.5" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(53.75720190933703 149.15314870832776) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.97 -0.8 L8.11 -0.47 L9.51 15.87 L1.26 17.52" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-0.37 0.1 C2.66 0.67, 7.58 -0.89, 8.18 0.6 M0.31 -0.15 C2.91 -0.07, 5.52 0.27, 8.9 0.21 M9.72 -0.46 C8.92 2.53, 8.48 9.04, 9.88 18.34 M8.14 -0.37 C9.17 6.39, 8.77 14.15, 9.37 17.8 M9.47 18.2 C7.18 17.17, 3.64 18.07, 0.89 18.14 M8.93 17.89 C5.92 18.13, 3.1 17.39, 0.12 17.78 M-1.09 16.53 C-0.35 14.26, 1.04 7.63, 1.17 1.37 M-0.46 17.36 C-0.43 12.11, 0.43 6.15, -0.7 0.69" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(63.0235949195519 149.012163632902) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-0.81 -0.47 L9.51 -1.97 L10.19 17.52 L-0.8 16.52" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.89 0.74 C3.91 -0.83, 6.08 0.59, 9.02 -0.18 M0.15 0 C3.37 0.37, 6.75 0.24, 8.56 0 M8.93 -1.38 C8.56 6.64, 9.96 11.32, 10.35 17.4 M9.22 -0.39 C8.66 4.91, 9.21 8.6, 8.76 18 M9.69 17.17 C5.99 18.11, 4.47 18.17, 0.39 18 M8.99 18.18 C7.03 17.44, 4.63 17.79, -0.21 17.75 M-0.39 18.78 C1.12 11.48, 1.28 8.83, 0.24 1.59 M-0.27 17.71 C0.69 13.62, -0.61 11.07, 0.43 -0.36" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(54.26729316645583 192.58308715159342) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.58 -1.97 L10.19 -0.32 L8.13 16.52 L1.61 17.96" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.49 -0.82 C2.03 0.52, 5.64 -0.26, 9.64 0.62 M-0.01 0.35 C2.36 0.21, 4.41 0, 8.94 0.2 M8.48 1.23 C9.88 5.39, 10.35 9.34, 7.9 16.28 M8.81 0.59 C9.43 4.55, 8.82 9.37, 8.92 18.39 M8.66 18.07 C6.78 18.07, 3.25 17.94, -0.47 17.85 M9.24 17.43 C6.28 17.85, 3.17 17.82, -0.04 17.57 M1.01 16.67 C1.21 15.18, 0.28 11.35, -1.62 -0.92 M0.59 17.35 C-0.64 14.15, 0.49 8.73, -0.36 -0.21" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(63.53368617666979 192.44210207616766) rotate(0 4.463356649720538 8.923014923342862)"><path d="M1.26 -0.32 L8.13 -1.32 L10.53 17.96 L-1.8 17.47" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.75 0.6 C3.51 -0.1, 7.55 0.71, 8.63 0.29 M-0.03 0.21 C2.32 -0.07, 5.39 0.13, 8.81 0 M9.88 0.49 C10.31 3.53, 7.85 6.38, 8.18 18.43 M9.37 -0.05 C8.74 4.74, 8.9 9.71, 9.28 18.61 M9.82 18.14 C7.32 18.03, 4.45 17.87, 0.09 17.97 M9.05 17.78 C5.37 17.67, 2.2 17.49, -0.33 17.75 M1.17 19.22 C0.14 13.15, -1.72 4.36, -0.98 -0.55 M-0.7 18.53 C0.32 12.4, -0.48 7.47, 0.26 -0.88" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(11 192.02710988840659) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-0.8 -1.32 L10.53 0.11 L7.12 17.47 L0.53 18.99" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.09 -0.18 C2.57 0.56, 3.42 0.23, 8.93 -0.03 M-0.36 0 C3.38 0.16, 6.62 -0.04, 8.58 -0.11 M10.35 -0.45 C7.99 5.01, 8.27 13.75, 8.15 17.62 M8.76 0.16 C9.01 7.07, 9.37 13.82, 8.25 17.58 M9.32 18 C5.55 17.88, 3.21 18, 0.67 18.47 M8.72 17.75 C7.04 17.56, 4.9 17.74, 0.23 18.1 M0.24 19.43 C-1.74 12.74, -1.09 8.94, -0.27 1.19 M0.43 17.49 C-0.22 13.28, 0.4 8.26, 0.56 -0.14" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(20.266393010215552 191.8861248129822) rotate(0 4.463356649720538 8.923014923342862)"><path d="M1.61 0.11 L7.12 -0.37 L9.45 18.99 L-0.7 18.35" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.71 0.62 C2.98 0.31, 6.55 -0.01, 9.62 -0.06 M0.02 0.2 C2.99 0, 5.86 -0.11, 9.23 0.24 M7.9 -1.57 C8.32 6.43, 8.3 11.47, 10.1 18.73 M8.92 0.55 C9.25 6.02, 8.22 10.24, 9.15 18.73 M8.46 17.85 C6.05 17.98, 3.66 18.49, -0.83 18.09 M8.89 17.57 C6.05 17.73, 4.07 18.08, -0.29 18.14 M-1.62 16.93 C-1 10.57, -0.29 5.58, -1 -1.4 M-0.36 17.64 C0.17 10.24, 0.48 4.25, -0.36 -0.59" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(25.105855434610476 282.90500267803077) rotate(0 15.475858186261291 2.5352663907839315)"><path d="M-1.64 -0.12 L32.11 -0.42 L29.32 6.04 L0.71 4.25" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-1.55 -0.5 C12.03 1.07, 21.87 1.6, 30.45 -1.15 M-0.43 -0.13 C7.23 0.39, 13.08 -0.29, 31.13 0 M30.57 -0.15 C31.1 2.34, 31.14 3.89, 31.04 4.8 M31.14 0.18 C30.72 1.59, 30.92 2.93, 30.9 5.05 M32 6.2 C22.23 6.31, 17.69 5.28, 1.78 3.25 M30.8 5.74 C22.7 4.19, 16.34 5.46, -0.4 4.66 M0.32 4.99 C-0.22 3.33, 0.39 2.29, -0.46 -0.09 M0.06 5.03 C-0.13 3.23, -0.02 1.76, 0.12 0.05" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(26.48590439562281 325.303123565099) rotate(0 15.475858186261291 2.5352663907839315)"><path d="M1.16 -0.42 L29.32 0.97 L31.67 4.25 L0.39 3.35" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M1.37 1.07 C9.84 1.68, 18.07 -1.07, 29.2 -0.84 M0.66 0.5 C10.24 -0.15, 20.78 0.04, 31.56 0.4 M31.08 0.5 C31.08 2.18, 31 3.64, 30.95 5.12 M30.72 0.07 C30.95 1.47, 30.94 3.16, 30.8 4.88 M29.64 6.38 C23.88 5.52, 15.5 3.43, -1.03 3.98 M30.39 4.29 C23.38 5.76, 13.88 4.87, -0.23 5.36 M-0.2 4.74 C0.38 4.08, -0.49 2.93, 0.13 0.29 M-0.1 4.89 C0 3.73, 0.11 2.44, -0.21 -0.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(46.30185917810627 304.4836630901307) rotate(89.99999999999994 15.475858186261291 2.5352663907839315)"><path d="M-1.63 0.97 L31.67 -0.83 L31.34 3.35 L0.72 5.71" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.55 1.6 C8.01 -1.32, 15.26 -1.01, 31.61 -0.87 M-0.06 -0.18 C9.07 -0.16, 18.4 0.25, 31.81 -0.76 M31.12 0.22 C31.05 1.11, 30.97 2.8, 31.02 5.45 M30.91 -0.12 C30.85 1.86, 30.75 3.57, 30.9 5.2 M32.49 5.34 C21.7 3.46, 7.85 4.18, -0.61 4.77 M31.72 5.56 C19.21 4.42, 8.03 5.12, -0.99 5.7 M0.41 5.1 C-0.44 3.54, 0.15 2.48, -0.18 0.13 M0.01 5.07 C0.14 3.69, -0.19 2.18, 0.15 -0.05" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(3.6669166629192205 305.51642961128505) rotate(89.99999999999994 15.475858186261291 2.5352663907839315)"><path d="M0.71 -0.83 L31.34 -1.72 L31.67 5.71 L-0.16 3.25" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.5 -1.15 C9.19 -1.09, 22.54 -1.11, 30.7 1.32 M0.18 0 C11.43 0.46, 22.5 -0.7, 30.66 0.25 M31.04 -0.27 C30.97 2.08, 31.04 4.43, 31.31 4.6 M30.9 -0.02 C30.79 1.47, 30.89 3.46, 31.09 4.9 M32.73 3.25 C18.61 4.02, 7.71 4.81, 1.33 3.95 M30.55 4.66 C23.86 5.51, 16.24 5.85, -0.16 4.67 M-0.46 4.98 C0.09 4.17, -0.22 2.83, -0.08 -0.2 M0.12 5.12 C-0.21 3.9, 0.14 2.7, -0.21 0.12" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(10.030883322036743 276.56329093102954) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.39 -1.72 L9.65 0.64 L8.77 16.03 L0.41 19.59" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-0.78 -0.37 C3.68 -0.33, 6.67 0.64, 9.37 -0.05 M0.27 0.18 C2.89 -0.34, 4.89 0.11, 9.37 0.15 M8.93 0.19 C9.2 7.47, 10.21 10.62, 9.42 17.58 M8.38 -0.66 C8.7 4.99, 9.39 8.45, 9.51 18.53 M8.47 17.36 C5.85 17.63, 3.92 17.27, -0.7 18.53 M8.82 17.98 C5.37 18.09, 2.63 17.63, -0.3 18.2 M0.47 18.86 C-0.47 12.85, -0.14 6.25, -1.28 0.09 M-0.73 17.79 C0.43 12.3, -0.82 7.56, 0.32 -0.37" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(19.29727633225116 276.4223058556029) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.72 0.64 L8.77 -1.82 L9.34 19.59 L1.28 18.22" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.29 -0.39 C2.05 0.63, 4.77 -0.01, 8.76 0.16 M0.38 -0.34 C2.54 0.08, 5.79 0.11, 9.12 0.08 M9.17 1.33 C10.18 2.76, 9.42 8.56, 8.09 17.47 M8.73 0.47 C9.32 4.61, 9.4 11.07, 9.05 18.64 M8.65 17.71 C7.65 17.3, 4.49 18.48, 0.43 17.49 M8.49 18.13 C6.54 17.69, 4 18.23, 0.02 17.44 M-0.63 18.3 C-0.35 12.13, -1.33 7.89, 0.01 0.87 M0.52 17.66 C-0.58 12.56, 0.47 6.04, 0.17 -0.77" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(52.75720190933703 276.15314870832776) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-0.16 -1.82 L9.34 1.74 L10.21 18.22 L-0.81 16.47" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-0.11 0.59 C2.75 -0.01, 4.44 0.2, 8.92 0.55 M-0.13 0.11 C3.48 0.21, 6.27 0.15, 8.69 0 M10.18 -1.65 C9.45 5.27, 8.12 10.71, 8.77 16.76 M9.43 -0.59 C9.47 4.73, 9.01 8.87, 8.12 17.39 M9.52 17.35 C6.04 18.52, 4.98 17.48, -0.36 17.64 M8.85 17.67 C5.69 18.26, 3.07 17.5, -0.08 17.96 M-0.3 17.15 C-1.22 11.57, 0.07 5.97, 0.36 -1.47 M-0.73 18.28 C0.22 12.23, 0.07 6.58, 0.32 0.28" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(62.0235949195519 276.012163632902) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.41 1.74 L10.21 0.37 L8.12 16.47 L0.44 17.76" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.44 -0.05 C2.13 0.1, 4.58 0.49, 9.28 0.76 M0.44 0.15 C2.2 0.06, 3.77 -0.02, 8.97 0.06 M9.42 -0.27 C8.22 6.31, 8.89 12.29, 7.61 17.46 M9.51 0.69 C9.15 7.08, 8.22 12.11, 8.44 17.57 M8.23 18.53 C6.82 17.44, 3.48 17.59, 0.26 16.97 M8.63 18.2 C5.71 17.41, 2.36 17.93, 0.25 17.69 M-1.28 17.94 C0.04 12.91, 0.39 4.77, -0.1 1.04 M0.32 17.48 C0.32 12.1, 0.47 8.17, -0.07 -0.81" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(53.26729316645583 319.5830871515934) rotate(0 4.463356649720538 8.923014923342862)"><path d="M1.28 0.37 L8.12 -1.37 L9.37 17.76 L-1.39 17.61" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-0.16 0.16 C3.26 0.55, 6.89 0.77, 8.25 -0.26 M0.2 0.08 C2.67 -0.03, 5.86 0.03, 9.26 0.31 M8.09 -0.38 C8.82 2.61, 7.66 7.01, 9.86 18.85 M9.05 0.79 C8.23 3.72, 8.56 8.09, 8.79 18.44 M9.36 17.49 C6.39 17.71, 4.83 17.03, 0.56 17.7 M8.95 17.44 C6.52 18.04, 4.54 17.76, 0.11 17.77 M0.01 18.71 C0.49 11.72, 0.02 9.56, -0.38 -1.46 M0.17 17.08 C0.26 11.91, -0.13 4.6, 0.18 0.78" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(62.53368617666979 319.44210207616766) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-0.81 -1.37 L9.37 -0.09 L7.53 17.61 L-1.8 19.03" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0 0.55 C2.99 0.75, 4.58 -0.28, 9.15 0.89 M-0.23 0 C3.02 0.05, 6.27 0.3, 8.51 0.12 M8.77 -1.09 C7.53 4.7, 9.77 11.18, 7.75 19.02 M8.12 -0.46 C8.46 6.45, 8.82 14.05, 8.43 17.15 M8.56 17.64 C5.82 16.93, 2.76 17.67, -0.36 17.26 M8.84 17.96 C5.79 17.61, 2.25 17.69, -0.17 17.53 M0.36 16.38 C-0.1 13.44, -0.38 5.5, 0.86 0.64 M0.32 18.13 C-0.11 12.42, 0.15 9.39, 0.57 0.17" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(10 319.0271098884066) rotate(0 4.463356649720538 8.923014923342862)"><path d="M0.44 -0.09 L7.53 -0.24 L7.13 19.03 L0.37 17.8" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.36 0.76 C2.16 -0.32, 5.9 0.83, 9.22 0.39 M0.05 0.06 C3.17 0.31, 5.26 0.12, 8.86 -0.21 M7.61 -0.39 C9.84 5.99, 7.74 11.13, 10.3 18.09 M8.44 -0.27 C8.63 7.53, 8.27 13.18, 9.61 18.28 M9.19 16.97 C7.17 17.68, 3.93 17.23, 0.72 17.9 M9.18 17.69 C7.17 17.8, 5.01 17.55, 0.02 17.85 M-0.1 18.88 C-0.41 10.17, 0.83 6.04, -0.74 0.35 M-0.07 17.03 C0.12 14.81, 0.51 10.38, -0.36 -0.61" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(19.266393010215552 318.8861248129822) rotate(0 4.463356649720538 8.923014923342862)"><path d="M-1.39 -0.24 L7.13 1.18 L9.3 17.8 L-1.41 17.78" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.67 -0.26 C3.45 0.81, 6.74 0.32, 9.08 -0.47 M0.33 0.31 C2.27 0.11, 5.29 -0.22, 8.83 -0.04 M9.86 1.01 C7.62 5.44, 10.17 8.78, 10.51 16.22 M8.79 0.59 C8.33 3.73, 9.52 9.3, 8.57 17.48 M9.49 17.7 C6.1 17.17, 4.7 17.81, -0.8 17.68 M9.04 17.77 C5.84 17.49, 3.12 17.82, 0.22 17.94 M-0.38 16.39 C0.87 14.6, -0.73 10.42, -1.54 0.64 M0.18 18.62 C0.59 12.09, -0.35 5.39, 0.2 -0.04" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(563.5145306633266 221.05359848068747) rotate(0 2.0171985691590635 11.564134366870178)"><path d="M1.82 -0.54 L4.54 1.48 L3.92 22.3 L0.67 22.04" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.27 -0.34 C1.23 0.35, 2.85 -0.17, 4.15 -0.04 M-0.1 -0.19 C0.98 0.16, 1.94 -0.17, 3.9 0.02 M5.25 0.01 C5.16 8.12, 4.2 12.87, 5.07 22.57 M4.75 0.95 C4.89 8.25, 3.63 16.99, 3.85 22.48 M4.44 23.18 C2.26 23.34, 1.39 22.9, 0.18 22.85 M3.84 23.24 C3.23 23.07, 2.19 23.23, 0.14 23.16 M-1.58 21.97 C1.64 17.9, -0.81 10.67, -1.32 -0.3 M0.62 22.39 C-0.6 13.94, -0.07 4.92, -0.03 -0.84" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(575.7721054349187 241.8890691296806) rotate(119.99999999999997 2.0171985691590635 11.564134366870178)"><path d="M0.5 1.48 L3.92 -0.83 L4.7 22.04 L-1.93 23.1" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.27 0.34 C1.04 -0.14, 2.49 -0.01, 3.74 -0.33 M0.06 0.18 C1.48 -0.12, 2.61 0.06, 3.97 -0.09 M5.26 1.89 C4.44 6.61, 5.21 11.86, 5.15 22.26 M4.99 0.03 C3.9 7.82, 4.02 13.91, 4.56 22.87 M3.68 23.37 C3.36 22.94, 2.47 22.85, -0.38 23.45 M4.06 23.09 C2.78 23.27, 2.04 23.19, -0.13 23 M1.49 23.4 C-0.78 14.93, -1.14 9.35, 1.78 1.14 M-0.47 22.93 C-0.08 17.39, -0.17 11.25, 0.91 -0.27" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(550.9211791412321 242.6883406257448) rotate(239.99999999999994 2.0171985691590635 11.564134366870178)"><path d="M-0.11 -0.83 L4.7 -1.09 L2.11 23.1 L1.51 24.96" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.15 -0.17 C0.99 -0.07, 1.45 -0.36, 4.2 -0.21 M0.11 -0.15 C0.7 -0.02, 1.61 -0.12, 3.97 0.12 M4.3 0.4 C5.21 6.4, 5.29 13.03, 4.33 24.56 M3.73 0.54 C4.08 8.48, 4.78 18, 3.21 24.12 M4.23 22.94 C2.96 22.87, 1.13 23.47, -0.14 22.73 M3.85 23.25 C2.74 23.15, 1.03 22.99, -0.02 22.97 M-0.96 21.67 C-1.49 17.23, 1.6 13.06, -1.22 1.23 M0.06 22.91 C0.08 17.05, 1.02 12.38, 0.25 0.74" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(558.5945677800752 213.7869584419077) rotate(0 6.773064509299161 6.773064509299161)"><path d="M3.91 -0.25 C5.43 -0.72, 8.68 0.12, 10.07 0.64 C11.47 1.16, 11.84 1.65, 12.28 2.88 C12.73 4.12, 12.81 6.42, 12.74 8.05 C12.66 9.69, 12.95 11.67, 11.82 12.69 C10.68 13.71, 7.63 14.38, 5.91 14.16 C4.19 13.93, 2.5 12.39, 1.49 11.33 C0.49 10.26, -0.02 9.12, -0.14 7.76 C-0.25 6.39, -0.07 4.27, 0.82 3.14 C1.71 2, 4.14 1.4, 5.19 0.95 C6.24 0.5, 6.83 0.46, 7.1 0.41 M3.93 0.13 C5.37 0.12, 9.54 1.3, 11.1 2.18 C12.65 3.05, 13.01 4.16, 13.27 5.37 C13.52 6.59, 13.06 8.32, 12.65 9.48 C12.23 10.63, 11.99 11.68, 10.76 12.31 C9.53 12.94, 6.63 13.3, 5.26 13.25 C3.89 13.19, 3.67 12.82, 2.55 12 C1.44 11.18, -1.03 9.9, -1.43 8.31 C-1.83 6.72, -1.16 3.88, 0.16 2.46 C1.47 1.05, 5.49 0.01, 6.44 -0.18 C7.4 -0.37, 6.27 1.02, 5.88 1.32" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M6.84 -0.51 C8.18 -0.48, 8.71 0.63, 9.94 1.69 C11.18 2.75, 13.91 4.58, 14.26 5.83 C14.6 7.08, 12.83 8.04, 12.03 9.19 C11.24 10.33, 10.78 12.09, 9.5 12.71 C8.22 13.34, 5.65 13.3, 4.35 12.93 C3.05 12.55, 2.3 11.46, 1.69 10.45 C1.08 9.44, 0.56 8.28, 0.66 6.87 C0.77 5.46, 1.09 3.19, 2.3 2 C3.51 0.82, 6.82 0.11, 7.91 -0.25 C9.01 -0.6, 8.94 -0.4, 8.87 -0.12 M9.41 1.55 C10.39 1.94, 11.97 2.04, 12.74 3.17 C13.52 4.31, 14.62 6.58, 14.03 8.38 C13.44 10.17, 10.53 13.32, 9.21 13.96 C7.89 14.59, 7.21 12.49, 6.13 12.19 C5.05 11.88, 3.87 12.85, 2.73 12.12 C1.59 11.39, -0.31 9.61, -0.71 7.8 C-1.11 5.99, -0.86 2.63, 0.34 1.27 C1.53 -0.09, 5.11 -0.41, 6.45 -0.36 C7.79 -0.3, 7.8 1.45, 8.39 1.6 C8.97 1.76, 9.99 0.46, 9.95 0.56" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(581.7236825358633 252.02167152347647) rotate(0 6.773064509299161 6.773064509299161)"><path d="M7.23 0.14 C8.65 -0.03, 9.5 -0.16, 10.42 0.67 C11.34 1.51, 12.19 3.53, 12.73 5.16 C13.27 6.8, 14.33 9.06, 13.67 10.47 C13 11.89, 10.36 13.27, 8.75 13.65 C7.14 14.03, 5.31 13.3, 4 12.77 C2.68 12.24, 1.55 11.62, 0.86 10.47 C0.16 9.32, -0.25 7.15, -0.16 5.85 C-0.08 4.56, 0.24 3.62, 1.37 2.68 C2.5 1.75, 5.51 0.68, 6.62 0.25 C7.73 -0.18, 8.05 -0.03, 8.03 0.1 M6.09 1.63 C7.67 1.36, 8.74 1.26, 9.78 1.73 C10.82 2.2, 11.66 3.36, 12.32 4.45 C12.98 5.53, 14.1 6.98, 13.74 8.24 C13.38 9.51, 11.27 11.05, 10.16 12.05 C9.05 13.05, 8.67 14.08, 7.07 14.23 C5.48 14.38, 1.99 14.08, 0.6 12.93 C-0.79 11.77, -1.53 9.02, -1.26 7.3 C-0.98 5.58, 1.14 3.62, 2.25 2.62 C3.36 1.61, 5.21 1.53, 5.43 1.29 C5.65 1.05, 3.77 1.36, 3.57 1.17" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M3.19 0.86 C4.5 0.41, 8.2 0.6, 9.61 0.85 C11.03 1.11, 11.02 1.32, 11.68 2.39 C12.34 3.46, 13.71 5.77, 13.6 7.28 C13.48 8.78, 11.96 10.35, 10.98 11.4 C10.01 12.44, 9.03 13.25, 7.76 13.54 C6.48 13.83, 4.56 13.98, 3.32 13.14 C2.08 12.3, 0.66 10.13, 0.31 8.51 C-0.04 6.9, 0.46 4.86, 1.25 3.44 C2.04 2.01, 4.41 0.35, 5.05 -0.04 C5.69 -0.43, 4.97 0.77, 5.07 1.11 M6.6 -0.97 C8.19 -1.23, 11.05 -0.1, 11.99 1.26 C12.92 2.61, 12.09 5.91, 12.22 7.19 C12.35 8.47, 13.17 7.81, 12.79 8.94 C12.4 10.06, 11.44 13.1, 9.92 13.91 C8.39 14.72, 5.33 14.67, 3.65 13.79 C1.97 12.92, 0.21 10.13, -0.18 8.66 C-0.57 7.19, 1.11 6.02, 1.31 4.98 C1.51 3.93, 0.07 3.26, 1.02 2.38 C1.97 1.5, 6.28 -0.08, 7.02 -0.3 C7.77 -0.53, 5.33 0.82, 5.47 1.03" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(536.1905879216491 253.48779639805798) rotate(0 6.773064509299161 6.773064509299161)"><path d="M4.36 -0.45 C5.43 -0.97, 7.25 -0.38, 8.81 0.41 C10.37 1.2, 13.06 2.89, 13.72 4.31 C14.38 5.74, 13.36 7.72, 12.75 8.96 C12.14 10.2, 11.17 10.98, 10.07 11.75 C8.98 12.52, 7.53 13.61, 6.17 13.6 C4.8 13.58, 3.06 12.52, 1.9 11.66 C0.74 10.8, -0.62 9.85, -0.79 8.45 C-0.97 7.06, -0.27 4.68, 0.85 3.29 C1.98 1.9, 5.23 0.58, 5.95 0.13 C6.67 -0.33, 5.38 0.62, 5.19 0.57 M6.94 1.12 C8.03 0.9, 9.38 1.45, 10.53 2.15 C11.68 2.86, 13.58 4.05, 13.85 5.34 C14.11 6.63, 12.75 8.47, 12.11 9.89 C11.46 11.3, 11.46 13.06, 9.95 13.83 C8.45 14.59, 4.78 15.09, 3.06 14.47 C1.34 13.84, -0.04 11.59, -0.36 10.07 C-0.68 8.54, 0.62 6.55, 1.16 5.31 C1.7 4.08, 2.17 3.41, 2.86 2.65 C3.55 1.9, 4.81 1.34, 5.31 0.79 C5.81 0.24, 5.83 -0.56, 5.84 -0.65" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M5.92 0.79 C7.25 0.19, 7.7 -0.51, 8.89 -0.04 C10.07 0.43, 12.35 2.25, 13.02 3.62 C13.68 5, 13.18 6.78, 12.89 8.23 C12.59 9.68, 12.27 11.3, 11.25 12.34 C10.23 13.38, 8.3 14.56, 6.78 14.46 C5.25 14.37, 3.14 12.98, 2.1 11.75 C1.06 10.52, 0.59 8.62, 0.54 7.07 C0.49 5.52, 0.88 3.48, 1.79 2.44 C2.7 1.39, 5.03 1, 6 0.78 C6.97 0.55, 7.63 1.15, 7.62 1.09 M9.36 -0.15 C10.55 0.55, 10.39 3.38, 11.11 4.43 C11.83 5.47, 13.49 4.79, 13.71 6.11 C13.93 7.43, 13.63 10.99, 12.44 12.34 C11.26 13.69, 8.37 14.45, 6.6 14.21 C4.82 13.97, 2.67 11.92, 1.81 10.88 C0.94 9.83, 1.84 8.98, 1.4 7.95 C0.97 6.93, -1.27 6, -0.82 4.72 C-0.36 3.45, 2.78 0.91, 4.11 0.31 C5.45 -0.29, 6.27 1.08, 7.18 1.14 C8.1 1.19, 9.55 0.84, 9.59 0.63" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(556.9072238070845 238.1287361336049) rotate(0 8.53962121327811 8.53962121327811)"><path d="M8.47 -0.13 C10.44 0.1, 14.03 1.56, 15.35 2.96 C16.68 4.36, 16.5 6.61, 16.42 8.25 C16.34 9.9, 15.84 11.42, 14.89 12.84 C13.94 14.27, 12.37 16.23, 10.7 16.81 C9.03 17.39, 6.63 16.92, 4.86 16.31 C3.08 15.71, 0.84 14.8, 0.03 13.2 C-0.78 11.6, -0.72 8.67, -0.02 6.73 C0.69 4.8, 2.57 2.61, 4.25 1.58 C5.94 0.55, 8.94 0.85, 10.1 0.57 C11.27 0.28, 11.21 -0.35, 11.24 -0.14 M11.76 1.48 C13.4 1.93, 16.03 3.35, 16.77 4.89 C17.51 6.43, 16.63 8.79, 16.18 10.7 C15.74 12.61, 15.77 15.07, 14.1 16.35 C12.43 17.62, 8.34 18.68, 6.17 18.34 C4 18, 1.93 15.91, 1.08 14.31 C0.23 12.72, 0.91 10.4, 1.08 8.77 C1.26 7.13, 1.46 5.81, 2.13 4.52 C2.8 3.23, 3.55 1.77, 5.1 1.03 C6.65 0.29, 10.47 0.17, 11.43 0.1 C12.39 0.04, 10.82 0.35, 10.86 0.64" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M9.1 -0.58 C10.7 -0.56, 13.81 1.18, 15.07 2.62 C16.33 4.06, 16.53 6.18, 16.66 8.06 C16.78 9.94, 16.77 12.27, 15.8 13.91 C14.82 15.54, 12.67 17.48, 10.8 17.86 C8.92 18.25, 6.16 17.3, 4.55 16.22 C2.93 15.13, 1.68 13.15, 1.09 11.34 C0.5 9.53, 0.49 6.9, 1.02 5.34 C1.55 3.77, 2.59 2.65, 4.27 1.94 C5.96 1.24, 10.11 1.43, 11.15 1.12 C12.19 0.81, 10.63 0.15, 10.53 0.1 M4.59 1.94 C6.11 1.13, 9.81 -1.26, 11.87 -0.71 C13.93 -0.17, 16.24 3.27, 16.96 5.21 C17.68 7.15, 16.88 9.5, 16.19 10.93 C15.5 12.37, 13.93 12.87, 12.82 13.81 C11.7 14.75, 11.4 16.22, 9.5 16.55 C7.6 16.88, 2.95 16.97, 1.41 15.79 C-0.14 14.62, 0.5 11.3, 0.25 9.5 C-0.01 7.69, -1.24 6.43, -0.13 4.97 C0.97 3.5, 6.04 1.59, 6.89 0.7 C7.74 -0.19, 5.11 -0.26, 4.95 -0.37" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(582.3732394636273 228.50288527932935) rotate(0 5.469689209382409 5.469689209382409)"><path d="M4.41 0.93 C5.43 0.59, 5.81 0.71, 6.65 0.92 C7.49 1.13, 8.76 1.28, 9.43 2.2 C10.1 3.11, 10.77 5.17, 10.67 6.4 C10.57 7.63, 9.82 8.67, 8.83 9.58 C7.84 10.48, 5.9 11.78, 4.72 11.85 C3.54 11.91, 2.4 10.86, 1.75 9.96 C1.1 9.06, 1.08 7.58, 0.84 6.44 C0.59 5.31, -0.16 4.34, 0.28 3.14 C0.71 1.94, 2.76 -0.4, 3.46 -0.76 C4.17 -1.13, 4.24 0.68, 4.51 0.95 M7.88 0.16 C8.94 0.37, 9.09 1.44, 9.72 2.62 C10.35 3.81, 12.03 5.85, 11.65 7.26 C11.27 8.67, 8.71 10.47, 7.44 11.06 C6.17 11.65, 4.8 11.11, 4.04 10.81 C3.29 10.5, 3.5 9.82, 2.91 9.24 C2.33 8.66, 1.12 8.29, 0.53 7.32 C-0.06 6.35, -1 4.7, -0.61 3.4 C-0.23 2.1, 1.72 0.07, 2.84 -0.5 C3.96 -1.07, 5.36 -0.21, 6.09 -0.02 C6.81 0.18, 7.15 0.57, 7.19 0.66" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M7.09 -0.09 C8.23 0.21, 8.85 1.08, 9.59 2.11 C10.33 3.13, 11.47 4.68, 11.52 6.06 C11.57 7.44, 10.8 9.51, 9.87 10.36 C8.95 11.2, 7.16 11.25, 5.97 11.13 C4.79 11, 3.64 10.41, 2.76 9.61 C1.89 8.81, 1.06 7.32, 0.72 6.34 C0.37 5.37, 0.13 4.6, 0.71 3.78 C1.29 2.96, 2.93 1.97, 4.2 1.42 C5.47 0.88, 7.38 0.46, 8.33 0.49 C9.27 0.51, 10.03 1.36, 9.87 1.58 M4.95 -1.26 C6.41 -1.6, 8.49 0.64, 9.33 1.6 C10.16 2.56, 9.95 3.76, 9.97 4.52 C10 5.27, 9.62 5.27, 9.48 6.15 C9.35 7.03, 10.29 8.88, 9.18 9.8 C8.07 10.72, 4.13 11.88, 2.81 11.67 C1.49 11.45, 1.98 9.42, 1.28 8.49 C0.58 7.57, -1.59 7.2, -1.39 6.12 C-1.18 5.04, 1.63 3.2, 2.49 2.03 C3.36 0.86, 3.47 -0.42, 3.83 -0.93 C4.18 -1.44, 4.62 -1.47, 4.65 -1.03" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(537.6896763219428 227.82716433638552) rotate(0 5.469689209382409 5.469689209382409)"><path d="M4.45 0.63 C5.29 0.31, 6.91 -0.03, 7.93 0.57 C8.95 1.16, 10.2 2.98, 10.57 4.19 C10.95 5.4, 10.79 6.62, 10.18 7.82 C9.56 9.01, 7.96 10.84, 6.88 11.36 C5.8 11.89, 4.58 11.46, 3.71 10.99 C2.85 10.51, 2.37 9.44, 1.69 8.49 C1 7.53, -0.29 6.57, -0.39 5.26 C-0.48 3.94, 0.15 1.34, 1.11 0.59 C2.07 -0.16, 4.45 0.81, 5.37 0.76 C6.28 0.7, 6.48 0.35, 6.61 0.25 M6 -0.12 C7.17 0.18, 9.98 1.59, 10.57 2.76 C11.15 3.94, 9.88 5.89, 9.5 6.92 C9.12 7.95, 8.64 8.35, 8.28 8.96 C7.92 9.56, 8.22 10.18, 7.35 10.55 C6.49 10.92, 4.5 11.6, 3.09 11.18 C1.68 10.75, -0.53 9.41, -1.13 8 C-1.73 6.58, -0.94 3.98, -0.51 2.69 C-0.08 1.4, 0.33 0.67, 1.47 0.27 C2.61 -0.13, 5.62 0.36, 6.31 0.28 C6.99 0.21, 5.53 -0.41, 5.58 -0.19" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M3.22 0 C4.33 -0.39, 6.73 -0.27, 8 0.35 C9.27 0.97, 10.34 2.67, 10.84 3.72 C11.34 4.78, 11.21 5.72, 10.98 6.67 C10.75 7.62, 10.3 8.77, 9.46 9.41 C8.63 10.05, 7.21 10.35, 5.98 10.5 C4.74 10.66, 2.89 10.87, 2.06 10.34 C1.24 9.81, 1.23 8.65, 1.02 7.33 C0.81 6, 0.2 3.61, 0.79 2.39 C1.37 1.17, 4.04 0.3, 4.53 0.02 C5.02 -0.25, 3.83 0.77, 3.72 0.75 M9 1.41 C9.86 2.21, 9.74 3.42, 9.84 4.16 C9.95 4.89, 9.67 4.89, 9.62 5.8 C9.56 6.7, 10.58 8.62, 9.51 9.61 C8.44 10.6, 4.51 11.87, 3.18 11.74 C1.85 11.6, 2.29 9.66, 1.52 8.79 C0.76 7.92, -1.51 7.58, -1.39 6.5 C-1.27 5.42, 1.44 3.55, 2.25 2.32 C3.05 1.09, 2.5 -0.39, 3.45 -0.86 C4.4 -1.34, 7.34 -0.98, 7.96 -0.52 C8.57 -0.06, 7.15 1.72, 7.17 1.88" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(560.0422055062062 266.71494377050885) rotate(0 5.469689209382409 5.469689209382409)"><path d="M6.27 -0.25 C7.43 -0.09, 9.08 1.45, 9.82 2.5 C10.56 3.54, 10.92 4.73, 10.69 6.04 C10.45 7.34, 9.27 9.47, 8.41 10.33 C7.56 11.19, 6.46 11.26, 5.55 11.18 C4.65 11.09, 3.94 10.5, 2.97 9.82 C2 9.14, 0.23 8.39, -0.26 7.1 C-0.75 5.81, -0.56 3.07, 0.02 2.08 C0.61 1.1, 1.76 1.43, 3.26 1.22 C4.76 1.01, 7.94 0.84, 9.02 0.81 C10.1 0.79, 9.88 0.96, 9.75 1.06 M5.9 0.72 C6.86 0.83, 6.64 1.8, 7.24 2.35 C7.84 2.9, 8.78 3.14, 9.49 4.01 C10.19 4.87, 11.67 6.28, 11.45 7.53 C11.24 8.78, 9.66 10.84, 8.17 11.5 C6.69 12.17, 3.91 12.14, 2.55 11.52 C1.2 10.89, 0.7 8.92, 0.05 7.75 C-0.6 6.59, -1.58 5.52, -1.35 4.51 C-1.12 3.51, 0.51 2.53, 1.42 1.72 C2.33 0.9, 3.49 -0.29, 4.13 -0.4 C4.76 -0.51, 5.3 1.03, 5.23 1.06" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M5.25 0.07 C6.51 0.04, 8 1.1, 8.92 1.74 C9.84 2.38, 10.42 3.01, 10.78 3.91 C11.14 4.82, 11.44 6.19, 11.08 7.18 C10.73 8.16, 9.74 9.1, 8.66 9.83 C7.57 10.56, 5.63 11.55, 4.55 11.55 C3.46 11.55, 2.9 10.93, 2.15 9.85 C1.4 8.76, 0.07 6.41, 0.03 5.05 C-0.01 3.69, 1.14 2.44, 1.9 1.68 C2.66 0.93, 3.98 0.93, 4.6 0.53 C5.21 0.13, 5.3 -0.73, 5.58 -0.7 M2.45 1.2 C3.1 0.31, 4.4 -1.33, 5.85 -1.23 C7.3 -1.12, 10.54 0.47, 11.14 1.81 C11.74 3.15, 9.72 5.6, 9.45 6.81 C9.17 8.01, 10.31 8.21, 9.49 9.04 C8.67 9.87, 5.57 11.62, 4.55 11.81 C3.53 12.01, 4.27 11.19, 3.38 10.21 C2.5 9.22, -0.25 7.28, -0.75 5.91 C-1.25 4.54, -0.12 2.68, 0.39 1.97 C0.89 1.25, 1.79 1.97, 2.3 1.63 C2.8 1.28, 3.41 0.16, 3.41 -0.11" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(267.21019546559444 100.22064031559057) rotate(0 71.52000427246094 25)"><text x="71.52000427246094" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">PubSub</text><text x="71.52000427246094" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">log files queue</text></g><g transform="translate(24.51019851735225 88.72064031559057) rotate(0 18.220001220703125 12.5)"><text x="18.220001220703125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC</text></g><g transform="translate(24.51019851735225 211.22064031559057) rotate(0 18.220001220703125 12.5)"><text x="18.220001220703125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC</text></g><g transform="translate(20.51019851735225 336.2206403155906) rotate(0 18.220001220703125 12.5)"><text x="18.220001220703125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">VPC</text></g><g transform="translate(475.32019798329463 190.72064031559057) rotate(0 24.410001754760742 12.5)"><text x="24.410001754760742" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">retry</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/04/2023-04-25-elastic-security-architecture.svg b/assets/2023/04/2023-04-25-elastic-security-architecture.svg
new file mode 100644
index 0000000..223bd04
--- /dev/null
+++ b/assets/2023/04/2023-04-25-elastic-security-architecture.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 958 508.0799985486083" width="1916" height="1016.1599970972165">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="958" height="508.0799985486083" fill="#ffffff"></rect><g stroke-linecap="round" transform="translate(10 301.0799985486083) rotate(0 107 98.5)"><path d="M43.42 20.97 C51.69 12.71, 64.67 6.18, 76.8 2.85 C88.93 -0.48, 103.05 -0.58, 116.21 0.98 C129.38 2.54, 144.19 7.09, 155.77 12.21 C167.36 17.34, 177.28 22.94, 185.74 31.72 C194.2 40.51, 202.05 53.96, 206.52 64.92 C210.99 75.89, 212.64 85.71, 212.55 97.52 C212.46 109.32, 210.72 124.55, 205.99 135.77 C201.25 146.99, 193.03 156.61, 184.14 164.83 C175.26 173.04, 163.95 179.48, 152.68 185.07 C141.41 190.66, 129.2 197.19, 116.52 198.36 C103.84 199.53, 89.27 195.64, 76.6 192.1 C63.93 188.56, 50.76 183.92, 40.49 177.13 C30.23 170.33, 21.61 161.34, 15 151.32 C8.39 141.31, 3.1 128.88, 0.83 117.02 C-1.43 105.16, -1.44 91.77, 1.42 80.17 C4.29 68.58, 8.29 58.86, 18 47.46 C27.71 36.06, 49.41 18.56, 59.68 11.79 C69.95 5.01, 78.69 5.41, 79.62 6.78 M157.04 12.09 C168.19 16.16, 177.35 26.58, 185.8 35.57 C194.25 44.56, 202.61 55, 207.73 66.04 C212.84 77.09, 217.12 90.7, 216.49 101.85 C215.87 113.01, 208.91 122.01, 203.98 132.96 C199.04 143.92, 195.52 158.12, 186.88 167.59 C178.25 177.06, 164.45 184.73, 152.16 189.8 C139.86 194.88, 125.41 197.6, 113.12 198.06 C100.83 198.52, 90.29 196, 78.42 192.56 C66.54 189.11, 52.06 184.91, 41.86 177.39 C31.67 169.87, 23.53 157.99, 17.27 147.43 C11.01 136.86, 7.25 125.34, 4.31 113.99 C1.36 102.64, -2.51 91, -0.4 79.33 C1.71 67.66, 9.41 54.36, 16.98 43.98 C24.56 33.6, 34.56 23.44, 45.05 17.04 C55.54 10.63, 67.55 8.23, 79.94 5.56 C92.33 2.89, 107.07 0.11, 119.39 1.01 C131.72 1.92, 148.3 8.89, 153.88 11 C159.46 13.11, 152.86 12.55, 152.87 13.67" stroke="#000000" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(858.0661627503391 29.14699448681222) rotate(0 26.578947368421154 27.192307692307736)"><path d="M0 0 C16.33 0, 32.65 0, 53.16 0 M0 0 C20.78 0, 41.55 0, 53.16 0 M53.16 0 C53.16 12.63, 53.16 25.26, 53.16 54.38 M53.16 0 C53.16 12.15, 53.16 24.3, 53.16 54.38 M53.16 54.38 C32.9 54.38, 12.65 54.38, 0 54.38 M53.16 54.38 C42.09 54.38, 31.03 54.38, 0 54.38 M0 54.38 C0 42.92, 0 31.45, 0 0 M0 54.38 C0 37.99, 0 21.59, 0 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(858.4750696329311 39.778573434180544) rotate(0 26.374493927125513 -0.20445344129552723)"><path d="M0 0 C13.01 -0.1, 26.01 -0.2, 52.75 -0.41 M0 0 C18.26 -0.14, 36.52 -0.28, 52.75 -0.41" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(864.6086728717964 34.25833051920108) rotate(0 1.4311740890688043 0)"><path d="M0 0 C1.12 0, 2.25 0, 2.86 0 M0 0 C1.13 0, 2.26 0, 2.86 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(872.5823570823231 34.25833051920108) rotate(0 1.226720647773277 0)"><path d="M0 0 C0.69 0, 1.39 0, 2.45 0 M0 0 C0.64 0, 1.27 0, 2.45 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(875.6491587017563 45.912176673046815) rotate(0 6.746963562753081 0)"><path d="M0 0 C4.59 0, 9.18 0, 13.49 0 M0 0 C3.33 0, 6.66 0, 13.49 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(904.8910615357645 77.18191351515361) rotate(0 -15.747975708502054 -11.846659919028298)"><path d="M0 0 C-7.74 0.05, -15.47 0.11, -31.7 0.22 M0 0 C-7.58 0.05, -15.16 0.1, -31.7 0.22 M-31.7 0.22 C-31.7 -5.77, -31.7 -11.76, -31.7 -23.5 M-31.7 0.22 C-31.7 -7.35, -31.7 -14.92, -31.7 -23.5 M-31.7 -23.5 C-24.87 -23.59, -18.04 -23.68, 0.2 -23.91 M-31.7 -23.5 C-22.46 -23.62, -13.22 -23.74, 0.2 -23.91 M0.2 -23.91 C0.15 -18.36, 0.11 -12.81, 0 0 M0.2 -23.91 C0.15 -18.29, 0.11 -12.66, 0 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(864.1997659892058 54.09031432486972) rotate(0 0 2.6578947368420813)"><path d="M0 0 C0 2.09, 0 4.18, 0 5.32 M0 0 C0 1.99, 0 3.98, 0 5.32" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(864.1997659892058 49.59233861636767) rotate(0 0 -1.8400809716599724)"><path d="M0 0 C0 -1, 0 -2.01, 0 -3.68 M0 0 C0 -0.85, 0 -1.7, 0 -3.68" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(864.608672871796 45.912176673046815) rotate(0 2.453441295546554 0)"><path d="M0 0 C1.55 0, 3.1 0, 4.91 0 M0 0 C1.54 0, 3.09 0, 4.91 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(900.5924785398133 49.38788517507146) rotate(0 0 -1.4311740890688043)"><path d="M0 0 C0 -0.79, 0 -1.58, 0 -2.86 M0 0 C0 -0.68, 0 -1.37, 0 -2.86" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(895.6855959487202 45.912176673046815) rotate(0 2.453441295546554 0)"><path d="M0 0 C1.41 0, 2.83 0, 4.91 0 M0 0 C1.04 0, 2.09 0, 4.91 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(864.1997659892058 68.19760177426087) rotate(0 0 -1.8400809716599724)"><path d="M0 0 C0 -0.85, 0 -1.71, 0 -3.68 M0 0 C0 -0.82, 0 -1.64, 0 -3.68" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(864.1997659892063 68.81096209814768) rotate(0 2.0445344129554996 0)"><path d="M0 0 C0.84 0, 1.68 0, 4.09 0 M0 0 C1.31 0, 2.63 0, 4.09 0" stroke="#e95d8e" stroke-width="2" fill="none"></path></g></g><mask></mask><g transform="translate(832.1451101187604 87.79463704104) rotate(0 52.1199951171875 12)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Dashboard</text></g><g stroke-linecap="round"><g transform="translate(637.7360013900152 207.29684296346454) rotate(0 52.54859667738299 -17.46898911697167)" fill-rule="evenodd"><path d="M0 0 L82.45 0 L84.14 -0.05 L85.81 -0.19 L87.45 -0.43 L89.06 -0.75 L90.63 -1.16 L92.18 -1.66 L93.68 -2.24 L95.14 -2.9 L96.56 -3.63 L97.94 -4.44 L99.26 -5.31 L100.54 -6.26 L101.76 -7.27 L102.93 -8.34 L105.1 -10.67 L102.89 -13.37 L100.54 -15.95 L98.05 -18.39 L95.43 -20.69 L92.68 -22.84 L89.82 -24.83 L86.83 -26.67 L83.74 -28.34 L80.55 -29.83 L77.26 -31.15 L73.88 -32.28 L70.42 -33.22 L66.88 -33.96 L63.27 -34.5 L59.59 -34.83 L55.86 -34.94 L53.57 -34.9 L51.3 -34.77 L46.82 -34.29 L42.45 -33.49 L38.19 -32.39 L34.05 -31 L30.05 -29.34 L26.2 -27.41 L22.5 -25.23 L18.98 -22.8 L15.63 -20.14 L12.48 -17.27 L9.53 -14.18 L6.79 -10.9 L4.29 -7.44 L2.02 -3.8 L0 0" stroke="none" stroke-width="0" fill="#F0BF1A" fill-rule="evenodd"></path><path d="M0 0 C31.6 0, 63.2 0, 82.45 0 M0 0 C24.79 0, 49.58 0, 82.45 0 M82.45 0 C82.88 -0.01, 83.3 -0.02, 84.14 -0.05 M82.45 0 C83.04 -0.02, 83.63 -0.03, 84.14 -0.05 M84.14 -0.05 C84.59 -0.09, 85.04 -0.13, 85.81 -0.19 M84.14 -0.05 C84.73 -0.1, 85.31 -0.15, 85.81 -0.19 M85.81 -0.19 C86.46 -0.29, 87.12 -0.38, 87.45 -0.43 M85.81 -0.19 C86.26 -0.26, 86.7 -0.32, 87.45 -0.43 M87.45 -0.43 C87.84 -0.51, 88.23 -0.59, 89.06 -0.75 M87.45 -0.43 C87.92 -0.52, 88.38 -0.62, 89.06 -0.75 M89.06 -0.75 C89.41 -0.85, 89.77 -0.94, 90.63 -1.16 M89.06 -0.75 C89.48 -0.86, 89.9 -0.97, 90.63 -1.16 M90.63 -1.16 C91.04 -1.29, 91.44 -1.42, 92.18 -1.66 M90.63 -1.16 C91.13 -1.32, 91.63 -1.48, 92.18 -1.66 M92.18 -1.66 C92.66 -1.85, 93.14 -2.03, 93.68 -2.24 M92.18 -1.66 C92.65 -1.84, 93.12 -2.03, 93.68 -2.24 M93.68 -2.24 C94.15 -2.45, 94.62 -2.66, 95.14 -2.9 M93.68 -2.24 C94.01 -2.39, 94.33 -2.53, 95.14 -2.9 M95.14 -2.9 C95.53 -3.1, 95.92 -3.3, 96.56 -3.63 M95.14 -2.9 C95.46 -3.06, 95.77 -3.22, 96.56 -3.63 M96.56 -3.63 C97.07 -3.93, 97.58 -4.23, 97.94 -4.44 M96.56 -3.63 C96.92 -3.84, 97.27 -4.05, 97.94 -4.44 M97.94 -4.44 C98.4 -4.75, 98.87 -5.06, 99.26 -5.31 M97.94 -4.44 C98.38 -4.73, 98.82 -5.02, 99.26 -5.31 M99.26 -5.31 C99.76 -5.68, 100.25 -6.05, 100.54 -6.26 M99.26 -5.31 C99.61 -5.57, 99.96 -5.83, 100.54 -6.26 M100.54 -6.26 C100.82 -6.49, 101.11 -6.73, 101.76 -7.27 M100.54 -6.26 C100.81 -6.48, 101.08 -6.7, 101.76 -7.27 M101.76 -7.27 C102.12 -7.6, 102.48 -7.92, 102.93 -8.34 M101.76 -7.27 C102.23 -7.7, 102.69 -8.12, 102.93 -8.34 M102.93 -8.34 C103.51 -8.96, 104.09 -9.58, 105.1 -10.67 M102.93 -8.34 C103.78 -9.25, 104.62 -10.16, 105.1 -10.67 M105.1 -10.67 C104.47 -11.44, 103.84 -12.22, 102.89 -13.37 M105.1 -10.67 C104.36 -11.58, 103.62 -12.49, 102.89 -13.37 M102.89 -13.37 C102.4 -13.92, 101.9 -14.46, 100.54 -15.95 M102.89 -13.37 C101.99 -14.37, 101.09 -15.36, 100.54 -15.95 M100.54 -15.95 C99.94 -16.55, 99.33 -17.14, 98.05 -18.39 M100.54 -15.95 C99.82 -16.65, 99.1 -17.36, 98.05 -18.39 M98.05 -18.39 C97.24 -19.1, 96.42 -19.82, 95.43 -20.69 M98.05 -18.39 C97.33 -19.02, 96.6 -19.66, 95.43 -20.69 M95.43 -20.69 C94.52 -21.4, 93.6 -22.12, 92.68 -22.84 M95.43 -20.69 C94.79 -21.19, 94.16 -21.69, 92.68 -22.84 M92.68 -22.84 C92.11 -23.24, 91.53 -23.64, 89.82 -24.83 M92.68 -22.84 C91.62 -23.58, 90.55 -24.32, 89.82 -24.83 M89.82 -24.83 C89.08 -25.29, 88.34 -25.74, 86.83 -26.67 M89.82 -24.83 C89.14 -25.25, 88.47 -25.66, 86.83 -26.67 M86.83 -26.67 C86.18 -27.02, 85.52 -27.38, 83.74 -28.34 M86.83 -26.67 C85.87 -27.18, 84.92 -27.7, 83.74 -28.34 M83.74 -28.34 C82.71 -28.82, 81.67 -29.31, 80.55 -29.83 M83.74 -28.34 C82.75 -28.8, 81.75 -29.27, 80.55 -29.83 M80.55 -29.83 C79.68 -30.18, 78.81 -30.53, 77.26 -31.15 M80.55 -29.83 C79.36 -30.31, 78.17 -30.78, 77.26 -31.15 M77.26 -31.15 C76.44 -31.42, 75.62 -31.7, 73.88 -32.28 M77.26 -31.15 C76.53 -31.39, 75.81 -31.64, 73.88 -32.28 M73.88 -32.28 C72.6 -32.63, 71.32 -32.98, 70.42 -33.22 M73.88 -32.28 C72.74 -32.59, 71.6 -32.9, 70.42 -33.22 M70.42 -33.22 C69.26 -33.46, 68.11 -33.7, 66.88 -33.96 M70.42 -33.22 C69.55 -33.4, 68.69 -33.58, 66.88 -33.96 M66.88 -33.96 C65.67 -34.14, 64.45 -34.32, 63.27 -34.5 M66.88 -33.96 C65.96 -34.1, 65.05 -34.24, 63.27 -34.5 M63.27 -34.5 C62.39 -34.58, 61.52 -34.66, 59.59 -34.83 M63.27 -34.5 C61.83 -34.63, 60.4 -34.76, 59.59 -34.83 M59.59 -34.83 C58.63 -34.86, 57.66 -34.88, 55.86 -34.94 M59.59 -34.83 C58.47 -34.86, 57.34 -34.89, 55.86 -34.94 M55.86 -34.94 C55.21 -34.93, 54.56 -34.91, 53.57 -34.9 M55.86 -34.94 C55.34 -34.93, 54.81 -34.92, 53.57 -34.9 M53.57 -34.9 C53.05 -34.87, 52.53 -34.84, 51.3 -34.77 M53.57 -34.9 C52.94 -34.86, 52.3 -34.83, 51.3 -34.77 M51.3 -34.77 C49.9 -34.62, 48.49 -34.47, 46.82 -34.29 M51.3 -34.77 C50.34 -34.67, 49.39 -34.56, 46.82 -34.29 M46.82 -34.29 C45.82 -34.1, 44.82 -33.92, 42.45 -33.49 M46.82 -34.29 C45.43 -34.03, 44.04 -33.78, 42.45 -33.49 M42.45 -33.49 C41.53 -33.25, 40.61 -33.01, 38.19 -32.39 M42.45 -33.49 C40.81 -33.06, 39.17 -32.64, 38.19 -32.39 M38.19 -32.39 C37.23 -32.07, 36.27 -31.74, 34.05 -31 M38.19 -32.39 C36.58 -31.85, 34.97 -31.31, 34.05 -31 M34.05 -31 C33.15 -30.63, 32.25 -30.25, 30.05 -29.34 M34.05 -31 C32.99 -30.56, 31.92 -30.11, 30.05 -29.34 M30.05 -29.34 C28.88 -28.75, 27.7 -28.16, 26.2 -27.41 M30.05 -29.34 C28.54 -28.58, 27.02 -27.82, 26.2 -27.41 M26.2 -27.41 C25.4 -26.94, 24.61 -26.47, 22.5 -25.23 M26.2 -27.41 C24.86 -26.62, 23.52 -25.82, 22.5 -25.23 M22.5 -25.23 C21.42 -24.48, 20.34 -23.74, 18.98 -22.8 M22.5 -25.23 C21.57 -24.58, 20.64 -23.94, 18.98 -22.8 M18.98 -22.8 C18.29 -22.26, 17.61 -21.71, 15.63 -20.14 M18.98 -22.8 C18.1 -22.11, 17.23 -21.41, 15.63 -20.14 M15.63 -20.14 C14.41 -19.03, 13.19 -17.92, 12.48 -17.27 M15.63 -20.14 C14.78 -19.37, 13.94 -18.6, 12.48 -17.27 M12.48 -17.27 C11.74 -16.49, 11 -15.72, 9.53 -14.18 M12.48 -17.27 C11.5 -16.24, 10.52 -15.22, 9.53 -14.18 M9.53 -14.18 C8.74 -13.24, 7.95 -12.29, 6.79 -10.9 M9.53 -14.18 C8.69 -13.18, 7.85 -12.18, 6.79 -10.9 M6.79 -10.9 C5.9 -9.67, 5 -8.43, 4.29 -7.44 M6.79 -10.9 C6.22 -10.11, 5.64 -9.31, 4.29 -7.44 M4.29 -7.44 C3.72 -6.54, 3.16 -5.63, 2.02 -3.8 M4.29 -7.44 C3.81 -6.68, 3.34 -5.92, 2.02 -3.8 M2.02 -3.8 C1.28 -2.41, 0.54 -1.02, 0 0 M2.02 -3.8 C1.23 -2.31, 0.44 -0.83, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(713.2008202067791 217.0019336322573) rotate(0 -32.12325765160301 17.468989651595393)" fill-rule="evenodd"><path d="M0 0 L-79.21 0 L-80.28 4.21 L-81.07 8.54 L-81.55 12.96 L-81.67 15.2 L-81.72 17.47 L-81.67 19.73 L-81.55 21.98 L-81.07 26.4 L-80.28 30.72 L-79.21 34.94 L0 34.94 L1.76 34.85 L3.48 34.59 L5.14 34.16 L6.74 33.57 L8.27 32.84 L9.71 31.97 L11.06 30.97 L12.3 29.84 L13.44 28.6 L14.45 27.26 L15.33 25.82 L16.08 24.29 L16.67 22.68 L17.11 21.01 L17.38 19.26 L17.47 17.47 L17.38 15.67 L17.12 13.93 L16.69 12.25 L16.1 10.65 L15.37 9.12 L14.5 7.68 L13.5 6.33 L12.37 5.1 L11.14 3.97 L9.79 2.97 L8.35 2.1 L6.82 1.36 L5.22 0.78 L3.54 0.35 L1.8 0.09 L0 0" stroke="none" stroke-width="0" fill="#07A5DE" fill-rule="evenodd"></path><path d="M0 0 C-18.84 0, -37.67 0, -79.21 0 M0 0 C-28.28 0, -56.56 0, -79.21 0 M-79.21 0 C-79.5 1.15, -79.8 2.3, -80.28 4.21 M-79.21 0 C-79.46 0.98, -79.71 1.96, -80.28 4.21 M-80.28 4.21 C-80.57 5.8, -80.86 7.38, -81.07 8.54 M-80.28 4.21 C-80.51 5.44, -80.73 6.67, -81.07 8.54 M-81.07 8.54 C-81.18 9.54, -81.29 10.54, -81.55 12.96 M-81.07 8.54 C-81.21 9.81, -81.35 11.08, -81.55 12.96 M-81.55 12.96 C-81.59 13.69, -81.63 14.43, -81.67 15.2 M-81.55 12.96 C-81.58 13.53, -81.61 14.11, -81.67 15.2 M-81.67 15.2 C-81.69 16.05, -81.71 16.9, -81.72 17.47 M-81.67 15.2 C-81.68 15.7, -81.69 16.19, -81.72 17.47 M-81.72 17.47 C-81.7 18.11, -81.69 18.74, -81.67 19.73 M-81.72 17.47 C-81.7 18.16, -81.69 18.85, -81.67 19.73 M-81.67 19.73 C-81.65 20.26, -81.62 20.79, -81.55 21.98 M-81.67 19.73 C-81.64 20.44, -81.6 21.14, -81.55 21.98 M-81.55 21.98 C-81.42 23.21, -81.28 24.44, -81.07 26.4 M-81.55 21.98 C-81.36 23.74, -81.17 25.49, -81.07 26.4 M-81.07 26.4 C-80.78 28, -80.49 29.59, -80.28 30.72 M-81.07 26.4 C-80.88 27.44, -80.69 28.48, -80.28 30.72 M-80.28 30.72 C-79.89 32.25, -79.51 33.77, -79.21 34.94 M-80.28 30.72 C-79.92 32.13, -79.56 33.55, -79.21 34.94 M-79.21 34.94 C-57.38 34.94, -35.55 34.94, 0 34.94 M-79.21 34.94 C-50.95 34.94, -22.69 34.94, 0 34.94 M0 34.94 C0.47 34.91, 0.94 34.89, 1.76 34.85 M0 34.94 C0.44 34.92, 0.88 34.89, 1.76 34.85 M1.76 34.85 C2.28 34.77, 2.79 34.69, 3.48 34.59 M1.76 34.85 C2.44 34.74, 3.13 34.64, 3.48 34.59 M3.48 34.59 C4.01 34.45, 4.54 34.31, 5.14 34.16 M3.48 34.59 C3.99 34.45, 4.5 34.32, 5.14 34.16 M5.14 34.16 C5.66 33.97, 6.19 33.78, 6.74 33.57 M5.14 34.16 C5.75 33.94, 6.36 33.71, 6.74 33.57 M6.74 33.57 C7.26 33.32, 7.78 33.07, 8.27 32.84 M6.74 33.57 C7.05 33.43, 7.35 33.28, 8.27 32.84 M8.27 32.84 C8.68 32.59, 9.08 32.35, 9.71 31.97 M8.27 32.84 C8.71 32.57, 9.15 32.31, 9.71 31.97 M9.71 31.97 C10.17 31.63, 10.63 31.28, 11.06 30.97 M9.71 31.97 C10.07 31.7, 10.43 31.43, 11.06 30.97 M11.06 30.97 C11.36 30.69, 11.66 30.42, 12.3 29.84 M11.06 30.97 C11.39 30.67, 11.72 30.37, 12.3 29.84 M12.3 29.84 C12.56 29.56, 12.82 29.28, 13.44 28.6 M12.3 29.84 C12.72 29.39, 13.14 28.93, 13.44 28.6 M13.44 28.6 C13.76 28.18, 14.08 27.75, 14.45 27.26 M13.44 28.6 C13.76 28.17, 14.09 27.74, 14.45 27.26 M14.45 27.26 C14.71 26.84, 14.96 26.42, 15.33 25.82 M14.45 27.26 C14.63 26.97, 14.81 26.68, 15.33 25.82 M15.33 25.82 C15.6 25.27, 15.87 24.73, 16.08 24.29 M15.33 25.82 C15.5 25.48, 15.67 25.14, 16.08 24.29 M16.08 24.29 C16.27 23.77, 16.46 23.25, 16.67 22.68 M16.08 24.29 C16.31 23.66, 16.55 23.02, 16.67 22.68 M16.67 22.68 C16.79 22.24, 16.9 21.79, 17.11 21.01 M16.67 22.68 C16.81 22.17, 16.94 21.65, 17.11 21.01 M17.11 21.01 C17.19 20.48, 17.27 19.95, 17.38 19.26 M17.11 21.01 C17.17 20.64, 17.22 20.27, 17.38 19.26 M17.38 19.26 C17.4 18.77, 17.43 18.27, 17.47 17.47 M17.38 19.26 C17.41 18.57, 17.45 17.87, 17.47 17.47 M17.47 17.47 C17.44 16.92, 17.41 16.37, 17.38 15.67 M17.47 17.47 C17.45 17.03, 17.43 16.6, 17.38 15.67 M17.38 15.67 C17.31 15.2, 17.24 14.72, 17.12 13.93 M17.38 15.67 C17.31 15.21, 17.24 14.75, 17.12 13.93 M17.12 13.93 C16.95 13.27, 16.78 12.61, 16.69 12.25 M17.12 13.93 C16.98 13.39, 16.84 12.85, 16.69 12.25 M16.69 12.25 C16.52 11.8, 16.36 11.35, 16.1 10.65 M16.69 12.25 C16.56 11.9, 16.43 11.54, 16.1 10.65 M16.1 10.65 C15.87 10.15, 15.63 9.65, 15.37 9.12 M16.1 10.65 C15.95 10.33, 15.8 10.02, 15.37 9.12 M15.37 9.12 C15.06 8.6, 14.74 8.07, 14.5 7.68 M15.37 9.12 C15.09 8.66, 14.82 8.2, 14.5 7.68 M14.5 7.68 C14.25 7.34, 14 7.01, 13.5 6.33 M14.5 7.68 C14.21 7.29, 13.92 6.9, 13.5 6.33 M13.5 6.33 C13.13 5.93, 12.77 5.53, 12.37 5.1 M13.5 6.33 C13.16 5.96, 12.81 5.58, 12.37 5.1 M12.37 5.1 C12.12 4.87, 11.87 4.64, 11.14 3.97 M12.37 5.1 C12.01 4.76, 11.64 4.43, 11.14 3.97 M11.14 3.97 C10.84 3.75, 10.54 3.52, 9.79 2.97 M11.14 3.97 C10.72 3.66, 10.3 3.35, 9.79 2.97 M9.79 2.97 C9.47 2.77, 9.14 2.57, 8.35 2.1 M9.79 2.97 C9.23 2.63, 8.67 2.29, 8.35 2.1 M8.35 2.1 C7.98 1.92, 7.61 1.74, 6.82 1.36 M8.35 2.1 C7.82 1.84, 7.28 1.59, 6.82 1.36 M6.82 1.36 C6.43 1.22, 6.04 1.08, 5.22 0.78 M6.82 1.36 C6.41 1.21, 5.99 1.06, 5.22 0.78 M5.22 0.78 C4.84 0.69, 4.47 0.59, 3.54 0.35 M5.22 0.78 C4.85 0.69, 4.49 0.6, 3.54 0.35 M3.54 0.35 C2.89 0.26, 2.25 0.16, 1.8 0.09 M3.54 0.35 C3.14 0.29, 2.74 0.23, 1.8 0.09 M1.8 0.09 C1.19 0.06, 0.58 0.03, 0 0 M1.8 0.09 C1.1 0.05, 0.4 0.02, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(743.0451146537744 272.0460387222081) rotate(0 -52.65449138355518 7.067735099772108)" fill-rule="evenodd"><path d="M0 0 L-2.15 -2.27 L-4.53 -4.31 L-5.79 -5.23 L-7.11 -6.09 L-8.48 -6.87 L-9.88 -7.59 L-11.34 -8.22 L-12.83 -8.79 L-14.35 -9.27 L-15.92 -9.67 L-17.51 -9.99 L-19.14 -10.22 L-20.79 -10.35 L-22.47 -10.4 L-105.31 -10.4 L-103.29 -6.6 L-101.02 -2.96 L-98.51 0.5 L-95.78 3.78 L-92.83 6.87 L-89.68 9.74 L-86.33 12.4 L-82.81 14.82 L-79.11 17.01 L-75.26 18.94 L-71.26 20.6 L-67.12 21.99 L-62.86 23.08 L-58.49 23.88 L-54.01 24.37 L-51.74 24.5 L-49.45 24.54 L-45.69 24.42 L-42 24.09 L-38.36 23.55 L-34.8 22.8 L-31.32 21.85 L-27.93 20.7 L-24.62 19.37 L-21.41 17.86 L-18.31 16.17 L-15.31 14.31 L-12.43 12.3 L-9.67 10.12 L-7.05 7.8 L-4.55 5.33 L-2.2 2.73 L0 0" stroke="none" stroke-width="0" fill="#3EBEB0" fill-rule="evenodd"></path><path d="M0 0 C-0.54 -0.57, -1.09 -1.15, -2.15 -2.27 M0 0 C-0.69 -0.73, -1.37 -1.45, -2.15 -2.27 M-2.15 -2.27 C-2.66 -2.71, -3.17 -3.14, -4.53 -4.31 M-2.15 -2.27 C-2.84 -2.86, -3.53 -3.45, -4.53 -4.31 M-4.53 -4.31 C-4.82 -4.52, -5.11 -4.74, -5.79 -5.23 M-4.53 -4.31 C-4.82 -4.52, -5.12 -4.74, -5.79 -5.23 M-5.79 -5.23 C-6.21 -5.5, -6.62 -5.77, -7.11 -6.09 M-5.79 -5.23 C-6.1 -5.43, -6.41 -5.63, -7.11 -6.09 M-7.11 -6.09 C-7.45 -6.28, -7.79 -6.48, -8.48 -6.87 M-7.11 -6.09 C-7.58 -6.36, -8.05 -6.63, -8.48 -6.87 M-8.48 -6.87 C-9 -7.14, -9.53 -7.4, -9.88 -7.59 M-8.48 -6.87 C-8.85 -7.06, -9.23 -7.25, -9.88 -7.59 M-9.88 -7.59 C-10.23 -7.74, -10.59 -7.89, -11.34 -8.22 M-9.88 -7.59 C-10.38 -7.8, -10.88 -8.02, -11.34 -8.22 M-11.34 -8.22 C-11.64 -8.34, -11.95 -8.46, -12.83 -8.79 M-11.34 -8.22 C-11.65 -8.34, -11.97 -8.46, -12.83 -8.79 M-12.83 -8.79 C-13.26 -8.92, -13.69 -9.06, -14.35 -9.27 M-12.83 -8.79 C-13.15 -8.89, -13.47 -8.99, -14.35 -9.27 M-14.35 -9.27 C-14.86 -9.4, -15.37 -9.53, -15.92 -9.67 M-14.35 -9.27 C-14.71 -9.36, -15.07 -9.45, -15.92 -9.67 M-15.92 -9.67 C-16.38 -9.76, -16.85 -9.85, -17.51 -9.99 M-15.92 -9.67 C-16.4 -9.77, -16.89 -9.86, -17.51 -9.99 M-17.51 -9.99 C-17.88 -10.04, -18.26 -10.09, -19.14 -10.22 M-17.51 -9.99 C-18 -10.06, -18.49 -10.12, -19.14 -10.22 M-19.14 -10.22 C-19.68 -10.26, -20.23 -10.31, -20.79 -10.35 M-19.14 -10.22 C-19.59 -10.25, -20.04 -10.29, -20.79 -10.35 M-20.79 -10.35 C-21.32 -10.37, -21.85 -10.38, -22.47 -10.4 M-20.79 -10.35 C-21.39 -10.37, -21.99 -10.39, -22.47 -10.4 M-22.47 -10.4 C-47.41 -10.4, -72.35 -10.4, -105.31 -10.4 M-22.47 -10.4 C-50.79 -10.4, -79.1 -10.4, -105.31 -10.4 M-105.31 -10.4 C-104.56 -8.99, -103.81 -7.58, -103.29 -6.6 M-105.31 -10.4 C-104.6 -9.07, -103.89 -7.73, -103.29 -6.6 M-103.29 -6.6 C-102.72 -5.69, -102.16 -4.78, -101.02 -2.96 M-103.29 -6.6 C-102.79 -5.8, -102.29 -5, -101.02 -2.96 M-101.02 -2.96 C-100.34 -2.01, -99.65 -1.07, -98.51 0.5 M-101.02 -2.96 C-100.09 -1.67, -99.15 -0.38, -98.51 0.5 M-98.51 0.5 C-97.8 1.37, -97.08 2.23, -95.78 3.78 M-98.51 0.5 C-97.96 1.16, -97.41 1.82, -95.78 3.78 M-95.78 3.78 C-94.91 4.69, -94.05 5.6, -92.83 6.87 M-95.78 3.78 C-94.77 4.84, -93.76 5.9, -92.83 6.87 M-92.83 6.87 C-91.66 7.93, -90.49 9, -89.68 9.74 M-92.83 6.87 C-92.01 7.62, -91.19 8.36, -89.68 9.74 M-89.68 9.74 C-88.35 10.8, -87.02 11.85, -86.33 12.4 M-89.68 9.74 C-88.62 10.58, -87.56 11.42, -86.33 12.4 M-86.33 12.4 C-85.47 13, -84.6 13.59, -82.81 14.82 M-86.33 12.4 C-85.08 13.26, -83.83 14.12, -82.81 14.82 M-82.81 14.82 C-81.56 15.56, -80.32 16.29, -79.11 17.01 M-82.81 14.82 C-81.4 15.65, -80 16.48, -79.11 17.01 M-79.11 17.01 C-77.95 17.59, -76.79 18.17, -75.26 18.94 M-79.11 17.01 C-77.85 17.64, -76.58 18.27, -75.26 18.94 M-75.26 18.94 C-73.81 19.54, -72.37 20.14, -71.26 20.6 M-75.26 18.94 C-73.84 19.52, -72.43 20.11, -71.26 20.6 M-71.26 20.6 C-69.63 21.15, -68 21.69, -67.12 21.99 M-71.26 20.6 C-70.42 20.88, -69.59 21.16, -67.12 21.99 M-67.12 21.99 C-65.8 22.33, -64.48 22.67, -62.86 23.08 M-67.12 21.99 C-65.89 22.3, -64.65 22.62, -62.86 23.08 M-62.86 23.08 C-61.45 23.34, -60.05 23.6, -58.49 23.88 M-62.86 23.08 C-61.62 23.31, -60.39 23.54, -58.49 23.88 M-58.49 23.88 C-57.07 24.04, -55.66 24.19, -54.01 24.37 M-58.49 23.88 C-56.81 24.07, -55.14 24.25, -54.01 24.37 M-54.01 24.37 C-53.27 24.41, -52.53 24.45, -51.74 24.5 M-54.01 24.37 C-53.42 24.4, -52.83 24.44, -51.74 24.5 M-51.74 24.5 C-51.05 24.51, -50.36 24.52, -49.45 24.54 M-51.74 24.5 C-51.22 24.5, -50.71 24.51, -49.45 24.54 M-49.45 24.54 C-47.99 24.49, -46.54 24.45, -45.69 24.42 M-49.45 24.54 C-48.29 24.5, -47.13 24.47, -45.69 24.42 M-45.69 24.42 C-44.64 24.33, -43.58 24.24, -42 24.09 M-45.69 24.42 C-44.23 24.29, -42.77 24.16, -42 24.09 M-42 24.09 C-40.78 23.91, -39.57 23.73, -38.36 23.55 M-42 24.09 C-40.61 23.89, -39.22 23.68, -38.36 23.55 M-38.36 23.55 C-37.39 23.34, -36.41 23.14, -34.8 22.8 M-38.36 23.55 C-37.42 23.35, -36.47 23.15, -34.8 22.8 M-34.8 22.8 C-33.66 22.49, -32.51 22.17, -31.32 21.85 M-34.8 22.8 C-33.7 22.5, -32.6 22.2, -31.32 21.85 M-31.32 21.85 C-30.07 21.42, -28.81 21, -27.93 20.7 M-31.32 21.85 C-30.11 21.44, -28.91 21.03, -27.93 20.7 M-27.93 20.7 C-26.65 20.19, -25.37 19.67, -24.62 19.37 M-27.93 20.7 C-26.82 20.26, -25.71 19.81, -24.62 19.37 M-24.62 19.37 C-23.77 18.97, -22.92 18.57, -21.41 17.86 M-24.62 19.37 C-23.93 19.05, -23.24 18.72, -21.41 17.86 M-21.41 17.86 C-20.62 17.43, -19.82 17, -18.31 16.17 M-21.41 17.86 C-20.36 17.28, -19.3 16.71, -18.31 16.17 M-18.31 16.17 C-17.27 15.53, -16.24 14.89, -15.31 14.31 M-18.31 16.17 C-17.34 15.57, -16.37 14.97, -15.31 14.31 M-15.31 14.31 C-14.36 13.65, -13.41 12.98, -12.43 12.3 M-15.31 14.31 C-14.68 13.87, -14.05 13.43, -12.43 12.3 M-12.43 12.3 C-11.37 11.46, -10.3 10.62, -9.67 10.12 M-12.43 12.3 C-11.33 11.43, -10.23 10.56, -9.67 10.12 M-9.67 10.12 C-8.77 9.32, -7.86 8.52, -7.05 7.8 M-9.67 10.12 C-8.78 9.34, -7.89 8.55, -7.05 7.8 M-7.05 7.8 C-6.4 7.16, -5.76 6.52, -4.55 5.33 M-7.05 7.8 C-6.33 7.09, -5.61 6.38, -4.55 5.33 M-4.55 5.33 C-3.9 4.61, -3.24 3.88, -2.2 2.73 M-4.55 5.33 C-3.96 4.67, -3.36 4.01, -2.2 2.73 M-2.2 2.73 C-1.71 2.12, -1.21 1.5, 0 0 M-2.2 2.73 C-1.6 1.99, -1 1.24, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(633.9931538460951 217.0019336322573) rotate(0 25.733383657070817 17.468989651595393)" fill-rule="evenodd"><path d="M0 0 L-1.08 4.21 L-1.86 8.54 L-2.34 12.96 L-2.47 15.2 L-2.51 17.47 L-2.47 19.73 L-2.34 21.98 L-1.86 26.4 L-1.08 30.72 L0 34.94 L51.84 34.94 L52.75 30.9 L53.42 26.64 L53.66 24.43 L53.83 22.16 L53.94 19.84 L53.97 17.47 L53.94 15.09 L53.83 12.77 L53.66 10.51 L53.42 8.3 L52.75 4.04 L51.84 0 L0 0" stroke="none" stroke-width="0" fill="#231F20" fill-rule="evenodd"></path><path d="M0 0 C-0.3 1.16, -0.59 2.32, -1.08 4.21 M0 0 C-0.34 1.34, -0.68 2.68, -1.08 4.21 M-1.08 4.21 C-1.32 5.57, -1.57 6.92, -1.86 8.54 M-1.08 4.21 C-1.28 5.32, -1.48 6.42, -1.86 8.54 M-1.86 8.54 C-2.03 10.03, -2.19 11.53, -2.34 12.96 M-1.86 8.54 C-1.98 9.63, -2.1 10.72, -2.34 12.96 M-2.34 12.96 C-2.38 13.65, -2.42 14.33, -2.47 15.2 M-2.34 12.96 C-2.38 13.59, -2.41 14.22, -2.47 15.2 M-2.47 15.2 C-2.48 15.8, -2.49 16.4, -2.51 17.47 M-2.47 15.2 C-2.48 16.01, -2.5 16.81, -2.51 17.47 M-2.51 17.47 C-2.5 17.98, -2.49 18.49, -2.47 19.73 M-2.51 17.47 C-2.5 18.04, -2.49 18.62, -2.47 19.73 M-2.47 19.73 C-2.43 20.49, -2.38 21.25, -2.34 21.98 M-2.47 19.73 C-2.44 20.24, -2.41 20.74, -2.34 21.98 M-2.34 21.98 C-2.17 23.59, -1.99 25.19, -1.86 26.4 M-2.34 21.98 C-2.17 23.57, -2 25.17, -1.86 26.4 M-1.86 26.4 C-1.67 27.43, -1.49 28.47, -1.08 30.72 M-1.86 26.4 C-1.65 27.58, -1.43 28.75, -1.08 30.72 M-1.08 30.72 C-0.69 32.23, -0.31 33.74, 0 34.94 M-1.08 30.72 C-0.78 31.86, -0.49 33.01, 0 34.94 M0 34.94 C17.38 34.94, 34.75 34.94, 51.84 34.94 M0 34.94 C12.67 34.94, 25.34 34.94, 51.84 34.94 M51.84 34.94 C52.1 33.79, 52.36 32.64, 52.75 30.9 M51.84 34.94 C52.05 33.98, 52.27 33.03, 52.75 30.9 M52.75 30.9 C53.01 29.24, 53.27 27.59, 53.42 26.64 M52.75 30.9 C52.96 29.52, 53.18 28.15, 53.42 26.64 M53.42 26.64 C53.5 25.83, 53.59 25.02, 53.66 24.43 M53.42 26.64 C53.51 25.77, 53.61 24.91, 53.66 24.43 M53.66 24.43 C53.7 23.86, 53.75 23.29, 53.83 22.16 M53.66 24.43 C53.7 23.93, 53.73 23.43, 53.83 22.16 M53.83 22.16 C53.86 21.55, 53.89 20.94, 53.94 19.84 M53.83 22.16 C53.86 21.57, 53.89 20.98, 53.94 19.84 M53.94 19.84 C53.95 18.96, 53.97 18.07, 53.97 17.47 M53.94 19.84 C53.95 19.17, 53.96 18.49, 53.97 17.47 M53.97 17.47 C53.96 16.56, 53.95 15.65, 53.94 15.09 M53.97 17.47 C53.97 16.93, 53.96 16.39, 53.94 15.09 M53.94 15.09 C53.91 14.42, 53.88 13.75, 53.83 12.77 M53.94 15.09 C53.9 14.18, 53.85 13.26, 53.83 12.77 M53.83 12.77 C53.77 11.94, 53.7 11.1, 53.66 10.51 M53.83 12.77 C53.78 12.12, 53.73 11.47, 53.66 10.51 M53.66 10.51 C53.58 9.77, 53.5 9.04, 53.42 8.3 M53.66 10.51 C53.59 9.93, 53.53 9.35, 53.42 8.3 M53.42 8.3 C53.27 7.4, 53.13 6.5, 52.75 4.04 M53.42 8.3 C53.21 6.99, 53 5.67, 52.75 4.04 M52.75 4.04 C52.45 2.73, 52.16 1.43, 51.84 0 M52.75 4.04 C52.45 2.7, 52.14 1.35, 51.84 0 M51.84 0 C34.08 0, 16.31 0, 0 0 M51.84 0 C34.52 0, 17.19 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(662.3470705812169 180.70518581279225) rotate(0 -1.7470523610616056 13.295936629886455)" fill-rule="evenodd"><path d="M0 0 L-3.85 2.47 L-7.51 5.22 L-10.97 8.23 L-14.22 11.48 L-17.23 14.95 L-19.98 18.64 L-21.26 20.56 L-22.46 22.53 L-23.59 24.54 L-24.65 26.59 L21.16 26.59 L19.28 22.67 L17.17 18.92 L14.82 15.33 L12.25 11.91 L9.47 8.67 L6.5 5.6 L3.34 2.71 L0 0" stroke="none" stroke-width="0" fill="#D7A229" fill-rule="evenodd"></path><path d="M0 0 C-1.01 0.65, -2.01 1.29, -3.85 2.47 M0 0 C-1.36 0.87, -2.71 1.74, -3.85 2.47 M-3.85 2.47 C-4.71 3.12, -5.57 3.77, -7.51 5.22 M-3.85 2.47 C-4.8 3.18, -5.75 3.9, -7.51 5.22 M-7.51 5.22 C-8.21 5.83, -8.91 6.44, -10.97 8.23 M-7.51 5.22 C-8.85 6.39, -10.2 7.56, -10.97 8.23 M-10.97 8.23 C-11.66 8.91, -12.34 9.6, -14.22 11.48 M-10.97 8.23 C-12.08 9.34, -13.19 10.45, -14.22 11.48 M-14.22 11.48 C-14.86 12.22, -15.51 12.97, -17.23 14.95 M-14.22 11.48 C-15.01 12.39, -15.8 13.31, -17.23 14.95 M-17.23 14.95 C-17.92 15.88, -18.61 16.8, -19.98 18.64 M-17.23 14.95 C-18.1 16.13, -18.98 17.31, -19.98 18.64 M-19.98 18.64 C-20.37 19.23, -20.77 19.82, -21.26 20.56 M-19.98 18.64 C-20.33 19.16, -20.67 19.69, -21.26 20.56 M-21.26 20.56 C-21.62 21.15, -21.98 21.74, -22.46 22.53 M-21.26 20.56 C-21.69 21.28, -22.13 21.99, -22.46 22.53 M-22.46 22.53 C-22.84 23.2, -23.22 23.88, -23.59 24.54 M-22.46 22.53 C-22.79 23.11, -23.12 23.7, -23.59 24.54 M-23.59 24.54 C-23.9 25.14, -24.22 25.75, -24.65 26.59 M-23.59 24.54 C-23.89 25.12, -24.19 25.7, -24.65 26.59 M-24.65 26.59 C-11.2 26.59, 2.24 26.59, 21.16 26.59 M-24.65 26.59 C-11.85 26.59, 0.95 26.59, 21.16 26.59 M21.16 26.59 C20.66 25.56, 20.17 24.52, 19.28 22.67 M21.16 26.59 C20.76 25.76, 20.36 24.92, 19.28 22.67 M19.28 22.67 C18.82 21.85, 18.36 21.03, 17.17 18.92 M19.28 22.67 C18.48 21.24, 17.67 19.81, 17.17 18.92 M17.17 18.92 C16.63 18.09, 16.09 17.27, 14.82 15.33 M17.17 18.92 C16.4 17.74, 15.63 16.57, 14.82 15.33 M14.82 15.33 C14.07 14.33, 13.32 13.34, 12.25 11.91 M14.82 15.33 C14.25 14.58, 13.69 13.82, 12.25 11.91 M12.25 11.91 C11.41 10.93, 10.57 9.95, 9.47 8.67 M12.25 11.91 C11.34 10.84, 10.42 9.77, 9.47 8.67 M9.47 8.67 C8.49 7.65, 7.5 6.63, 6.5 5.6 M9.47 8.67 C8.86 8.04, 8.25 7.4, 6.5 5.6 M6.5 5.6 C5.26 4.47, 4.02 3.34, 3.34 2.71 M6.5 5.6 C5.37 4.57, 4.24 3.53, 3.34 2.71 M3.34 2.71 C2.31 1.88, 1.29 1.05, 0 0 M3.34 2.71 C2.57 2.09, 1.8 1.47, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(664.2880893799265 289.2071028279713) rotate(0 -3.0086422252335296 -13.78118093970329)" fill-rule="evenodd"><path d="M0 0 L3.26 -2.8 L6.35 -5.81 L9.26 -9.01 L11.96 -12.4 L14.46 -15.96 L16.73 -19.68 L18.77 -23.55 L20.57 -27.56 L-26.59 -27.56 L-25.46 -25.4 L-24.25 -23.29 L-22.96 -21.23 L-21.59 -19.22 L-20.15 -17.26 L-18.64 -15.36 L-17.06 -13.52 L-15.41 -11.74 L-13.69 -10.03 L-11.91 -8.38 L-10.07 -6.8 L-8.17 -5.29 L-6.21 -3.85 L-4.19 -2.49 L-2.12 -1.21 L0 0" stroke="none" stroke-width="0" fill="#019B8F" fill-rule="evenodd"></path><path d="M0 0 C0.78 -0.67, 1.57 -1.35, 3.26 -2.8 M0 0 C0.91 -0.78, 1.81 -1.56, 3.26 -2.8 M3.26 -2.8 C4.33 -3.84, 5.39 -4.87, 6.35 -5.81 M3.26 -2.8 C4.23 -3.74, 5.2 -4.69, 6.35 -5.81 M6.35 -5.81 C7.41 -6.97, 8.46 -8.13, 9.26 -9.01 M6.35 -5.81 C7.34 -6.9, 8.33 -7.99, 9.26 -9.01 M9.26 -9.01 C10.02 -9.96, 10.78 -10.91, 11.96 -12.4 M9.26 -9.01 C10.28 -10.29, 11.29 -11.56, 11.96 -12.4 M11.96 -12.4 C12.73 -13.5, 13.5 -14.6, 14.46 -15.96 M11.96 -12.4 C12.5 -13.16, 13.03 -13.93, 14.46 -15.96 M14.46 -15.96 C15.26 -17.27, 16.06 -18.59, 16.73 -19.68 M14.46 -15.96 C14.92 -16.72, 15.39 -17.48, 16.73 -19.68 M16.73 -19.68 C17.53 -21.19, 18.32 -22.69, 18.77 -23.55 M16.73 -19.68 C17.41 -20.96, 18.08 -22.23, 18.77 -23.55 M18.77 -23.55 C19.37 -24.88, 19.97 -26.21, 20.57 -27.56 M18.77 -23.55 C19.46 -25.09, 20.15 -26.62, 20.57 -27.56 M20.57 -27.56 C10.79 -27.56, 1.01 -27.56, -26.59 -27.56 M20.57 -27.56 C8.82 -27.56, -2.93 -27.56, -26.59 -27.56 M-26.59 -27.56 C-26.33 -27.07, -26.08 -26.58, -25.46 -25.4 M-26.59 -27.56 C-26.28 -26.96, -25.96 -26.36, -25.46 -25.4 M-25.46 -25.4 C-25.02 -24.64, -24.59 -23.88, -24.25 -23.29 M-25.46 -25.4 C-25.01 -24.62, -24.56 -23.84, -24.25 -23.29 M-24.25 -23.29 C-23.73 -22.47, -23.22 -21.65, -22.96 -21.23 M-24.25 -23.29 C-23.8 -22.58, -23.36 -21.87, -22.96 -21.23 M-22.96 -21.23 C-22.5 -20.55, -22.04 -19.88, -21.59 -19.22 M-22.96 -21.23 C-22.65 -20.78, -22.35 -20.33, -21.59 -19.22 M-21.59 -19.22 C-21.25 -18.75, -20.9 -18.28, -20.15 -17.26 M-21.59 -19.22 C-21.29 -18.81, -20.99 -18.4, -20.15 -17.26 M-20.15 -17.26 C-19.83 -16.85, -19.5 -16.45, -18.64 -15.36 M-20.15 -17.26 C-19.6 -16.56, -19.04 -15.87, -18.64 -15.36 M-18.64 -15.36 C-18.18 -14.83, -17.73 -14.3, -17.06 -13.52 M-18.64 -15.36 C-18.02 -14.64, -17.4 -13.92, -17.06 -13.52 M-17.06 -13.52 C-16.45 -12.87, -15.84 -12.21, -15.41 -11.74 M-17.06 -13.52 C-16.56 -12.99, -16.07 -12.46, -15.41 -11.74 M-15.41 -11.74 C-14.84 -11.18, -14.28 -10.62, -13.69 -10.03 M-15.41 -11.74 C-14.73 -11.07, -14.06 -10.4, -13.69 -10.03 M-13.69 -10.03 C-13.04 -9.43, -12.4 -8.83, -11.91 -8.38 M-13.69 -10.03 C-13.07 -9.46, -12.46 -8.89, -11.91 -8.38 M-11.91 -8.38 C-11.39 -7.94, -10.88 -7.49, -10.07 -6.8 M-11.91 -8.38 C-11.19 -7.76, -10.48 -7.15, -10.07 -6.8 M-10.07 -6.8 C-9.58 -6.41, -9.09 -6.02, -8.17 -5.29 M-10.07 -6.8 C-9.36 -6.24, -8.66 -5.68, -8.17 -5.29 M-8.17 -5.29 C-7.55 -4.84, -6.94 -4.39, -6.21 -3.85 M-8.17 -5.29 C-7.48 -4.79, -6.8 -4.29, -6.21 -3.85 M-6.21 -3.85 C-5.61 -3.45, -5.01 -3.05, -4.19 -2.49 M-6.21 -3.85 C-5.68 -3.49, -5.14 -3.13, -4.19 -2.49 M-4.19 -2.49 C-3.5 -2.06, -2.81 -1.63, -2.12 -1.21 M-4.19 -2.49 C-3.53 -2.08, -2.87 -1.67, -2.12 -1.21 M-2.12 -1.21 C-1.65 -0.94, -1.17 -0.67, 0 0 M-2.12 -1.21 C-1.58 -0.9, -1.05 -0.59, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(853.5792656098547 365.0329547805404) rotate(0 42.68583962609307 10.252974667278295)" fill-rule="evenodd"><path d="M0 0 L11.28 0.73 L22.15 2.82 L32.51 6.18 L42.27 10.67 L87.05 -43.1 L-1.67 -43.1 L-1.67 63.61 L-1.67 0 L0 0" stroke="none" stroke-width="0" fill="#e9478b" fill-rule="evenodd"></path><path d="M0 0 C4.25 0.27, 8.51 0.55, 11.28 0.73 M0 0 C3.22 0.21, 6.43 0.41, 11.28 0.73 M11.28 0.73 C14.14 1.28, 17 1.83, 22.15 2.82 M11.28 0.73 C14.52 1.35, 17.75 1.97, 22.15 2.82 M22.15 2.82 C24.61 3.62, 27.07 4.42, 32.51 6.18 M22.15 2.82 C25.04 3.76, 27.93 4.7, 32.51 6.18 M32.51 6.18 C36.14 7.85, 39.77 9.52, 42.27 10.67 M32.51 6.18 C36.07 7.82, 39.63 9.46, 42.27 10.67 M42.27 10.67 C59.26 -9.73, 76.25 -30.14, 87.05 -43.1 M42.27 10.67 C51.35 -0.24, 60.44 -11.15, 87.05 -43.1 M87.05 -43.1 C53.04 -43.1, 19.03 -43.1, -1.67 -43.1 M87.05 -43.1 C66.67 -43.1, 46.29 -43.1, -1.67 -43.1 M-1.67 -43.1 C-1.67 -1.32, -1.67 40.46, -1.67 63.61 M-1.67 -43.1 C-1.67 -16.45, -1.67 10.2, -1.67 63.61 M-1.67 63.61 C-1.67 46.58, -1.67 29.55, -1.67 0 M-1.67 63.61 C-1.67 43.67, -1.67 23.73, -1.67 0 M-1.67 0 C-1.33 0, -0.99 0, 0 0 M-1.67 0 C-1.18 0, -0.69 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(895.8466150079298 375.7044196758361) rotate(0 0.313865675504303 30.654291467283997)" fill-rule="evenodd"><path d="M0 0 L-43.94 52.94 L-43.94 61.31 L44.57 61.31 L42.15 51.62 L38.69 42.37 L34.27 33.63 L28.95 25.48 L22.8 17.96 L15.88 11.17 L8.26 5.16 L0 0" stroke="none" stroke-width="0" fill="#3ebeb0" fill-rule="evenodd"></path><path d="M0 0 C-15.1 18.2, -30.21 36.4, -43.94 52.94 M0 0 C-12.66 15.26, -25.33 30.51, -43.94 52.94 M-43.94 52.94 C-43.94 55.77, -43.94 58.6, -43.94 61.31 M-43.94 52.94 C-43.94 54.94, -43.94 56.94, -43.94 61.31 M-43.94 61.31 C-18.13 61.31, 7.68 61.31, 44.57 61.31 M-43.94 61.31 C-21.42 61.31, 1.1 61.31, 44.57 61.31 M44.57 61.31 C44.06 59.28, 43.56 57.25, 42.15 51.62 M44.57 61.31 C43.62 57.5, 42.67 53.7, 42.15 51.62 M42.15 51.62 C41.28 49.3, 40.41 46.97, 38.69 42.37 M42.15 51.62 C41.26 49.24, 40.37 46.86, 38.69 42.37 M38.69 42.37 C37.78 40.57, 36.87 38.77, 34.27 33.63 M38.69 42.37 C37.04 39.09, 35.38 35.82, 34.27 33.63 M34.27 33.63 C32.89 31.51, 31.5 29.38, 28.95 25.48 M34.27 33.63 C32.81 31.38, 31.34 29.13, 28.95 25.48 M28.95 25.48 C27.26 23.41, 25.57 21.34, 22.8 17.96 M28.95 25.48 C27.3 23.45, 25.64 21.43, 22.8 17.96 M22.8 17.96 C20.37 15.58, 17.94 13.19, 15.88 11.17 M22.8 17.96 C20.57 15.77, 18.34 13.58, 15.88 11.17 M15.88 11.17 C13.55 9.33, 11.22 7.49, 8.26 5.16 M15.88 11.17 C14.05 9.72, 12.21 8.28, 8.26 5.16 M8.26 5.16 C6.24 3.9, 4.22 2.64, 0 0 M8.26 5.16 C5.43 3.39, 2.61 1.63, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(895.8466150079298 375.7044196758361) rotate(0 -14.751722667871604 30.654291467283997)" fill-rule="evenodd"><path d="M0 0 L-43.94 52.94 L-43.94 61.31 L-28.25 61.31 L14.44 9.83 L12.48 8.32 L10.29 6.66 L7.53 4.6 L2.67 1.52 L0.77 0.43" stroke="none" stroke-width="0" fill="#37a595" fill-rule="evenodd"></path><path d="M0 0 C-16.74 20.17, -33.49 40.34, -43.94 52.94 M0 0 C-9.15 11.02, -18.29 22.04, -43.94 52.94 M-43.94 52.94 C-43.94 54.7, -43.94 56.47, -43.94 61.31 M-43.94 52.94 C-43.94 55.46, -43.94 57.99, -43.94 61.31 M-43.94 61.31 C-39.13 61.31, -34.31 61.31, -28.25 61.31 M-43.94 61.31 C-39.49 61.31, -35.03 61.31, -28.25 61.31 M-28.25 61.31 C-13.17 43.13, 1.9 24.95, 14.44 9.83 M-28.25 61.31 C-18.09 49.06, -7.94 36.82, 14.44 9.83 M14.44 9.83 C14.03 9.52, 13.63 9.21, 12.48 8.32 M14.44 9.83 C13.8 9.34, 13.16 8.84, 12.48 8.32 M12.48 8.32 C11.9 7.88, 11.32 7.44, 10.29 6.66 M12.48 8.32 C11.89 7.87, 11.3 7.42, 10.29 6.66 M10.29 6.66 C9.34 5.95, 8.4 5.25, 7.53 4.6 M10.29 6.66 C9.39 5.99, 8.49 5.32, 7.53 4.6 M7.53 4.6 C6.35 3.85, 5.17 3.1, 2.67 1.52 M7.53 4.6 C5.75 3.47, 3.96 2.33, 2.67 1.52 M2.67 1.52 C2.24 1.27, 1.82 1.03, 0.77 0.43 M2.67 1.52 C2.18 1.24, 1.69 0.95, 0.77 0.43 M0.77 0.43 C0.48 0.26, 0.19 0.1, 0 0 M0.77 0.43 C0.51 0.28, 0.26 0.14, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(853.5792656098547 365.0329547805404) rotate(0 20.29669623851032 31.805137598824672)" fill-rule="evenodd"><path d="M0 0 L-1.67 0 L-1.67 63.61 L42.27 10.67 L32.51 6.18 L22.15 2.82 L11.28 0.73 L0 0" stroke="none" stroke-width="0" fill="#353535" fill-rule="evenodd"></path><path d="M0 0 C-0.44 0, -0.89 0, -1.67 0 M0 0 C-0.6 0, -1.19 0, -1.67 0 M-1.67 0 C-1.67 17.73, -1.67 35.46, -1.67 63.61 M-1.67 0 C-1.67 17.07, -1.67 34.15, -1.67 63.61 M-1.67 63.61 C13.35 45.52, 28.36 27.42, 42.27 10.67 M-1.67 63.61 C12.85 46.12, 27.36 28.63, 42.27 10.67 M42.27 10.67 C39.68 9.48, 37.08 8.28, 32.51 6.18 M42.27 10.67 C39.8 9.53, 37.33 8.4, 32.51 6.18 M32.51 6.18 C28.9 5.01, 25.29 3.84, 22.15 2.82 M32.51 6.18 C29.8 5.3, 27.08 4.42, 22.15 2.82 M22.15 2.82 C19.46 2.3, 16.76 1.78, 11.28 0.73 M22.15 2.82 C19.17 2.25, 16.18 1.67, 11.28 0.73 M11.28 0.73 C7.32 0.47, 3.36 0.22, 0 0 M11.28 0.73 C7 0.45, 2.71 0.17, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(774.4351053122418 303.4708157639261) rotate(0 31.829999923706055 12.5)"><text x="31.829999923706055" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">search</text></g><g transform="translate(625.3750982169049 298.4708157639261) rotate(0 64.89000701904297 25)"><text x="64.89000701904297" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">elasticsearch</text><text x="64.89000701904297" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">cluster</text></g><g stroke-linecap="round"><g transform="translate(852.2651052359479 59.82893755186524) rotate(0 -58.19236130453646 79.84840782648143)"><path d="M-3.67 0.5 C-29.22 39.3, -61.74 87.51, -112.03 159.15 M-1.78 -0.89 C-25.66 36.23, -52.44 74.6, -114.6 160.59" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(852.2651052359479 59.82893755186524) rotate(0 -58.19236130453646 79.84840782648143)"><path d="M-110.16 132.22 C-106.5 136.87, -110.13 149.12, -112.63 159.1 M-108.27 130.82 C-108.58 137.58, -110.79 145.38, -115.2 160.54" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(852.2651052359479 59.82893755186524) rotate(0 -58.19236130453646 79.84840782648143)"><path d="M-93.49 144.19 C-94.35 145.29, -102.53 154.28, -112.63 159.1 M-91.6 142.79 C-95.87 146.74, -101.95 151.76, -115.2 160.54" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(850.2651052359479 369.4708157639261) rotate(0 -57.724327843636274 -66.01935031078756)"><path d="M2.27 -2.58 C-21.38 -25.76, -44.89 -56.88, -117.72 -128.48 M-0.43 -0.81 C-31.75 -38.41, -64.91 -76.39, -113.69 -131.22" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(850.2651052359479 369.4708157639261) rotate(0 -57.724327843636274 -66.01935031078756)"><path d="M-85.05 -119.5 C-91.85 -118.13, -96.38 -124.47, -116.41 -129.7 M-87.75 -117.73 C-95.46 -121.02, -102.94 -125.49, -112.38 -132.45" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(850.2651052359479 369.4708157639261) rotate(0 -57.724327843636274 -66.01935031078756)"><path d="M-100.41 -105.9 C-103.67 -107.48, -104.91 -116.73, -116.41 -129.7 M-103.11 -104.13 C-106.13 -111.22, -109.16 -119.63, -112.38 -132.45" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(760.4351053122418 119.47081576392611) rotate(0 31.829999923706055 12.5)"><text x="31.829999923706055" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">search</text></g><g stroke-linecap="round"><g transform="translate(117.69250789754983 410.26676143387454) rotate(0 -1.4415383697295852 -28.830767394591817)" fill-rule="evenodd"><path d="M0 0 L-31.71 0 L-31.71 -57.66 L0 -57.66 L5.81 -57.08 L11.22 -55.4 L16.12 -52.74 L20.39 -49.22 L23.91 -44.95 L26.56 -40.05 L28.24 -34.64 L28.83 -28.83 L28.24 -23.02 L26.56 -17.61 L23.91 -12.71 L20.39 -8.45 L16.12 -4.92 L11.22 -2.27 L5.81 -0.59 L0 0" stroke="none" stroke-width="0" fill="#0080D5" fill-rule="evenodd"></path><path d="M0 0 C-9.87 0, -19.73 0, -31.71 0 M0 0 C-7.65 0, -15.29 0, -31.71 0 M-31.71 0 C-31.71 -15.42, -31.71 -30.84, -31.71 -57.66 M-31.71 0 C-31.71 -11.58, -31.71 -23.16, -31.71 -57.66 M-31.71 -57.66 C-22.38 -57.66, -13.05 -57.66, 0 -57.66 M-31.71 -57.66 C-21.07 -57.66, -10.43 -57.66, 0 -57.66 M0 -57.66 C2.12 -57.45, 4.25 -57.23, 5.81 -57.08 M0 -57.66 C1.59 -57.5, 3.17 -57.34, 5.81 -57.08 M5.81 -57.08 C6.93 -56.73, 8.06 -56.38, 11.22 -55.4 M5.81 -57.08 C7.11 -56.67, 8.41 -56.27, 11.22 -55.4 M11.22 -55.4 C12.55 -54.67, 13.88 -53.95, 16.12 -52.74 M11.22 -55.4 C12.89 -54.49, 14.55 -53.59, 16.12 -52.74 M16.12 -52.74 C16.99 -52.02, 17.86 -51.3, 20.39 -49.22 M16.12 -52.74 C17.53 -51.57, 18.95 -50.4, 20.39 -49.22 M20.39 -49.22 C21.16 -48.27, 21.94 -47.33, 23.91 -44.95 M20.39 -49.22 C21.47 -47.91, 22.54 -46.6, 23.91 -44.95 M23.91 -44.95 C24.91 -43.1, 25.92 -41.24, 26.56 -40.05 M23.91 -44.95 C24.62 -43.63, 25.34 -42.31, 26.56 -40.05 M26.56 -40.05 C27.14 -38.19, 27.72 -36.33, 28.24 -34.64 M26.56 -40.05 C26.92 -38.9, 27.28 -37.75, 28.24 -34.64 M28.24 -34.64 C28.4 -33.08, 28.56 -31.51, 28.83 -28.83 M28.24 -34.64 C28.42 -32.92, 28.59 -31.2, 28.83 -28.83 M28.83 -28.83 C28.62 -26.73, 28.41 -24.63, 28.24 -23.02 M28.83 -28.83 C28.64 -26.92, 28.45 -25.02, 28.24 -23.02 M28.24 -23.02 C27.65 -21.1, 27.05 -19.17, 26.56 -17.61 M28.24 -23.02 C27.68 -21.19, 27.11 -19.36, 26.56 -17.61 M26.56 -17.61 C25.8 -16.21, 25.04 -14.81, 23.91 -12.71 M26.56 -17.61 C25.88 -16.34, 25.19 -15.07, 23.91 -12.71 M23.91 -12.71 C22.64 -11.18, 21.38 -9.65, 20.39 -8.45 M23.91 -12.71 C22.84 -11.42, 21.77 -10.13, 20.39 -8.45 M20.39 -8.45 C19.01 -7.31, 17.62 -6.17, 16.12 -4.92 M20.39 -8.45 C19.36 -7.6, 18.32 -6.74, 16.12 -4.92 M16.12 -4.92 C14.43 -4.01, 12.75 -3.1, 11.22 -2.27 M16.12 -4.92 C14.25 -3.91, 12.38 -2.89, 11.22 -2.27 M11.22 -2.27 C9.21 -1.64, 7.2 -1.02, 5.81 -0.59 M11.22 -2.27 C9.89 -1.85, 8.56 -1.44, 5.81 -0.59 M5.81 -0.59 C4.55 -0.46, 3.29 -0.33, 0 0 M5.81 -0.59 C3.79 -0.38, 1.76 -0.18, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(151.4305623835926 397.65041645620636) rotate(0 -29.41315205240727 23.606632925589224)" fill-rule="evenodd"><path d="M0 0 L-2.58 4.52 L-5.74 8.62 L-9.42 12.25 L-13.57 15.34 L-18.13 17.85 L-23.05 19.71 L-28.27 20.87 L-33.74 21.27 L-65.45 21.27 L-65.45 47.21 L-22.21 47.21 L-16.4 46.63 L-10.98 44.95 L-6.09 42.29 L-1.82 38.77 L1.7 34.5 L4.36 29.6 L6.04 24.19 L6.63 18.38 L6.17 13.26 L4.86 8.44 L2.78 3.99 L0 0" stroke="none" stroke-width="0" fill="#00C2B3" fill-rule="evenodd"></path><path d="M0 0 C-0.6 1.04, -1.19 2.09, -2.58 4.52 M0 0 C-0.96 1.69, -1.93 3.38, -2.58 4.52 M-2.58 4.52 C-3.75 6.04, -4.92 7.56, -5.74 8.62 M-2.58 4.52 C-3.8 6.1, -5.02 7.68, -5.74 8.62 M-5.74 8.62 C-6.87 9.74, -8.01 10.85, -9.42 12.25 M-5.74 8.62 C-7.19 10.05, -8.64 11.48, -9.42 12.25 M-9.42 12.25 C-10.61 13.13, -11.8 14.02, -13.57 15.34 M-9.42 12.25 C-10.3 12.9, -11.18 13.56, -13.57 15.34 M-13.57 15.34 C-14.57 15.89, -15.56 16.44, -18.13 17.85 M-13.57 15.34 C-14.86 16.05, -16.15 16.76, -18.13 17.85 M-18.13 17.85 C-19.89 18.51, -21.64 19.17, -23.05 19.71 M-18.13 17.85 C-19.43 18.34, -20.73 18.83, -23.05 19.71 M-23.05 19.71 C-24.44 20.02, -25.82 20.32, -28.27 20.87 M-23.05 19.71 C-24.63 20.06, -26.21 20.41, -28.27 20.87 M-28.27 20.87 C-29.88 20.98, -31.48 21.1, -33.74 21.27 M-28.27 20.87 C-29.42 20.95, -30.58 21.03, -33.74 21.27 M-33.74 21.27 C-44.69 21.27, -55.65 21.27, -65.45 21.27 M-33.74 21.27 C-44.82 21.27, -55.91 21.27, -65.45 21.27 M-65.45 21.27 C-65.45 30.41, -65.45 39.56, -65.45 47.21 M-65.45 21.27 C-65.45 26.51, -65.45 31.76, -65.45 47.21 M-65.45 47.21 C-54.79 47.21, -44.13 47.21, -22.21 47.21 M-65.45 47.21 C-54.45 47.21, -43.45 47.21, -22.21 47.21 M-22.21 47.21 C-20.87 47.08, -19.53 46.94, -16.4 46.63 M-22.21 47.21 C-20.05 47, -17.89 46.78, -16.4 46.63 M-16.4 46.63 C-14.51 46.04, -12.62 45.45, -10.98 44.95 M-16.4 46.63 C-14.89 46.16, -13.38 45.69, -10.98 44.95 M-10.98 44.95 C-9.2 43.98, -7.41 43.01, -6.09 42.29 M-10.98 44.95 C-9.34 44.06, -7.7 43.16, -6.09 42.29 M-6.09 42.29 C-4.7 41.14, -3.31 39.99, -1.82 38.77 M-6.09 42.29 C-5.16 41.52, -4.23 40.76, -1.82 38.77 M-1.82 38.77 C-0.98 37.75, -0.14 36.73, 1.7 34.5 M-1.82 38.77 C-0.79 37.52, 0.23 36.28, 1.7 34.5 M1.7 34.5 C2.34 33.32, 2.99 32.13, 4.36 29.6 M1.7 34.5 C2.49 33.04, 3.28 31.59, 4.36 29.6 M4.36 29.6 C4.82 28.12, 5.28 26.63, 6.04 24.19 M4.36 29.6 C4.9 27.86, 5.44 26.11, 6.04 24.19 M6.04 24.19 C6.19 22.72, 6.34 21.25, 6.63 18.38 M6.04 24.19 C6.2 22.56, 6.37 20.93, 6.63 18.38 M6.63 18.38 C6.47 16.65, 6.32 14.91, 6.17 13.26 M6.63 18.38 C6.49 16.89, 6.36 15.39, 6.17 13.26 M6.17 13.26 C5.77 11.77, 5.36 10.27, 4.86 8.44 M6.17 13.26 C5.7 11.53, 5.23 9.79, 4.86 8.44 M4.86 8.44 C4.37 7.38, 3.87 6.32, 2.78 3.99 M4.86 8.44 C4.14 6.89, 3.41 5.34, 2.78 3.99 M2.78 3.99 C2.07 2.98, 1.37 1.96, 0 0 M2.78 3.99 C2.05 2.95, 1.32 1.9, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(144.61439064926333 391.6815851372719) rotate(0 -29.31800744879547 7.052004615908686)" fill-rule="evenodd"><path d="M0 0 L-3.49 -1.89 L-7.24 -3.3 L-11.22 -4.18 L-15.39 -4.48 L-58.64 -4.48 L-58.64 18.58 L-26.92 18.58 L-22.4 18.23 L-18.1 17.21 L-14.08 15.57 L-10.4 13.36 L-7.09 10.65 L-4.22 7.48 L-1.84 3.92 L0 0" stroke="none" stroke-width="0" fill="black" fill-rule="evenodd"></path><path d="M0 0 C-0.82 -0.45, -1.65 -0.89, -3.49 -1.89 M0 0 C-0.88 -0.48, -1.76 -0.95, -3.49 -1.89 M-3.49 -1.89 C-4.63 -2.32, -5.77 -2.75, -7.24 -3.3 M-3.49 -1.89 C-4.41 -2.24, -5.34 -2.58, -7.24 -3.3 M-7.24 -3.3 C-8.61 -3.6, -9.99 -3.9, -11.22 -4.18 M-7.24 -3.3 C-8.73 -3.63, -10.23 -3.96, -11.22 -4.18 M-11.22 -4.18 C-12.14 -4.24, -13.05 -4.31, -15.39 -4.48 M-11.22 -4.18 C-12.62 -4.28, -14.02 -4.38, -15.39 -4.48 M-15.39 -4.48 C-27.17 -4.48, -38.95 -4.48, -58.64 -4.48 M-15.39 -4.48 C-32.57 -4.48, -49.76 -4.48, -58.64 -4.48 M-58.64 -4.48 C-58.64 2.57, -58.64 9.62, -58.64 18.58 M-58.64 -4.48 C-58.64 1.78, -58.64 8.04, -58.64 18.58 M-58.64 18.58 C-50.78 18.58, -42.92 18.58, -26.92 18.58 M-58.64 18.58 C-49.29 18.58, -39.94 18.58, -26.92 18.58 M-26.92 18.58 C-25.44 18.47, -23.97 18.35, -22.4 18.23 M-26.92 18.58 C-25.54 18.48, -24.15 18.37, -22.4 18.23 M-22.4 18.23 C-20.93 17.88, -19.46 17.53, -18.1 17.21 M-22.4 18.23 C-21.43 18, -20.46 17.77, -18.1 17.21 M-18.1 17.21 C-17.15 16.82, -16.19 16.43, -14.08 15.57 M-18.1 17.21 C-16.78 16.67, -15.46 16.13, -14.08 15.57 M-14.08 15.57 C-12.71 14.75, -11.34 13.93, -10.4 13.36 M-14.08 15.57 C-13.24 15.06, -12.39 14.55, -10.4 13.36 M-10.4 13.36 C-9.45 12.58, -8.49 11.8, -7.09 10.65 M-10.4 13.36 C-9.21 12.39, -8.03 11.42, -7.09 10.65 M-7.09 10.65 C-5.97 9.42, -4.85 8.18, -4.22 7.48 M-7.09 10.65 C-6.14 9.6, -5.18 8.55, -4.22 7.48 M-4.22 7.48 C-3.47 6.36, -2.72 5.24, -1.84 3.92 M-4.22 7.48 C-3.63 6.61, -3.05 5.73, -1.84 3.92 M-1.84 3.92 C-1.11 2.36, -0.38 0.8, 0 0 M-1.84 3.92 C-1.4 2.98, -0.96 2.04, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(552.688502911989 241.01161896262306) rotate(0 41.59127124466545 -0.9752540079037999)"><path d="M2.54 -3.74 C19.55 4.35, 39.18 -3.41, 82.4 1.79 M0.78 1.51 C20.17 -1.33, 41.8 -1.41, 82.38 -0.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(552.688502911989 241.01161896262306) rotate(0 41.59127124466545 -0.9752540079037999)"><path d="M56.57 5.59 C62.07 11.14, 70.07 1.66, 83.47 3.26 M54.81 10.84 C60.04 6.3, 67.63 4.13, 83.46 1.01" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(552.688502911989 241.01161896262306) rotate(0 41.59127124466545 -0.9752540079037999)"><path d="M56.91 -14.93 C62.03 -4.87, 69.96 -9.85, 83.47 3.26 M55.15 -9.67 C60.6 -8.77, 68.09 -5.5, 83.46 1.01" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(20 218.07999854860827) rotate(0 88 30)"><path d="M-1.26 1.06 C41.96 1.69, 90.4 -0.74, 178.09 -2.66 M-0.74 -0.3 C34.69 0.04, 71.46 -1.29, 174.81 -1.64 M178.34 0.03 C171.47 22.81, 175.12 41.69, 172.43 56.97 M175.47 -0.8 C175.52 14.27, 175.03 29.74, 174.43 60.6 M176.09 60.31 C136.14 59.08, 91.06 63.5, 1.69 61.19 M175.26 61.76 C113.23 60.01, 54.21 61.33, -0.44 58.64 M-3.1 62.11 C-3.3 37.84, -1.26 22.56, 3.49 -1.79 M1.04 58.97 C-0.1 43.3, -0.09 27.45, -0.47 1.29" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(41.30999755859375 235.57999854860827) rotate(0 66.69000244140625 12.5)"><text x="66.69000244140625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Elastic Agent</text></g><g stroke-linecap="round" transform="translate(299.2500211237051 207.0060242211439) rotate(0 13.393480480766186 33.664694181385244)"><path d="M17.18 2.26 C19.67 3.71, 22.63 9.24, 24.35 15.03 C26.07 20.82, 27.68 29.71, 27.49 37.02 C27.31 44.32, 25.32 53.7, 23.24 58.85 C21.16 64, 17.9 67.64, 15.01 67.91 C12.13 68.18, 8.47 65.07, 5.95 60.46 C3.42 55.85, 0.66 47.21, -0.11 40.25 C-0.88 33.29, -0.21 24.85, 1.33 18.7 C2.88 12.54, 6.28 5.73, 9.17 3.33 C12.06 0.92, 16.78 3.62, 18.68 4.27 C20.57 4.92, 20.54 6.83, 20.54 7.23 M8.36 1.23 C10.47 -1.84, 14.03 -0.29, 16.55 2.18 C19.07 4.65, 21.93 9.95, 23.47 16.03 C25.01 22.12, 26.09 31.84, 25.79 38.71 C25.49 45.57, 23.44 52.61, 21.68 57.23 C19.93 61.85, 17.86 66.03, 15.25 66.44 C12.65 66.86, 8.56 64.19, 6.07 59.72 C3.58 55.25, 0.93 46.64, 0.3 39.64 C-0.33 32.63, 0.92 23.66, 2.28 17.69 C3.63 11.72, 7.14 6.07, 8.42 3.79 C9.69 1.52, 9.72 3.76, 9.94 4.04" stroke="none" stroke-width="0" fill="#ffffff"></path><path d="M9.04 1.43 C11.5 -1.24, 14.93 -0.1, 17.67 2.67 C20.41 5.43, 23.96 11.66, 25.48 18.01 C26.99 24.37, 27.56 33.75, 26.77 40.81 C25.97 47.87, 22.92 56.07, 20.69 60.37 C18.46 64.67, 16.21 66.85, 13.38 66.63 C10.55 66.41, 6.07 63.84, 3.72 59.06 C1.36 54.28, -0.33 45.27, -0.74 37.94 C-1.15 30.61, -1.01 21.5, 1.26 15.09 C3.54 8.69, 10.58 1.68, 12.92 -0.49 C15.27 -2.66, 15.46 1.49, 15.34 2.08 M8.54 3.52 C10.97 -0.28, 12.91 -0.91, 15.53 0.71 C18.15 2.33, 22.53 7.74, 24.26 13.23 C25.98 18.71, 25.87 26.23, 25.9 33.62 C25.93 41, 26.39 51.91, 24.44 57.51 C22.5 63.11, 17.35 66.52, 14.24 67.19 C11.13 67.86, 8 65.54, 5.76 61.52 C3.53 57.5, 1.43 49.77, 0.81 43.06 C0.18 36.35, 1.04 27.57, 2.01 21.27 C2.98 14.98, 5.93 8.2, 6.6 5.31 C7.27 2.42, 5.82 3.85, 6.03 3.94" stroke="#000000" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(524.6661601467415 207.0060242211439) rotate(0 13.39348048076613 33.664694181385244)"><path d="M16.9 1.03 C19.72 2.3, 23.61 8.1, 25.37 14.26 C27.12 20.41, 27.74 30.58, 27.44 37.98 C27.14 45.39, 25.66 53.83, 23.56 58.7 C21.47 63.58, 17.95 67.03, 14.85 67.22 C11.75 67.4, 7.42 64.03, 4.98 59.81 C2.54 55.59, 0.66 48.66, 0.23 41.91 C-0.2 35.16, 1.18 25.7, 2.39 19.33 C3.6 12.96, 4.55 5.97, 7.5 3.7 C10.45 1.43, 17.52 4.44, 20.09 5.69 C22.66 6.95, 23.11 10.75, 22.91 11.23 M17.18 2.73 C19.58 5.01, 22.4 11.21, 23.82 17.48 C25.23 23.75, 26.12 33.56, 25.68 40.37 C25.24 47.18, 23.03 53.98, 21.18 58.33 C19.33 62.68, 17.19 66.41, 14.58 66.47 C11.98 66.52, 7.96 63.4, 5.55 58.65 C3.15 53.91, 0.67 45.05, 0.18 37.98 C-0.32 30.91, 1.13 22.02, 2.6 16.22 C4.08 10.42, 6.21 5.38, 9.04 3.2 C11.88 1.01, 17.98 3.19, 19.63 3.11 C21.27 3.03, 19.06 2.56, 18.89 2.7" stroke="none" stroke-width="0" fill="#868e96"></path><path d="M19.04 4.27 C21.6 7.22, 24.89 14.74, 26.11 21.44 C27.34 28.14, 27.48 37.61, 26.38 44.46 C25.27 51.31, 21.88 58.9, 19.46 62.54 C17.05 66.18, 14.69 67.32, 11.89 66.29 C9.08 65.27, 4.78 61.74, 2.65 56.38 C0.53 51.03, -0.78 41.57, -0.87 34.17 C-0.96 26.77, 0.15 17.66, 2.13 11.99 C4.11 6.33, 8 1.11, 11 0.16 C13.99 -0.79, 18.43 5.09, 20.12 6.29 C21.8 7.5, 21.26 7.2, 21.08 7.39 M18.3 3.03 C20.66 5.59, 24.59 13.16, 25.78 19.46 C26.98 25.77, 26.06 33.71, 25.47 40.86 C24.89 48.01, 24.62 57.95, 22.26 62.37 C19.9 66.79, 14.46 68.29, 11.33 67.39 C8.2 66.49, 5.33 62.22, 3.48 56.97 C1.63 51.72, 0.24 42.91, 0.23 35.89 C0.21 28.86, 1.88 20.38, 3.4 14.83 C4.91 9.29, 6.92 4.67, 9.31 2.62 C11.7 0.57, 16.14 2.53, 17.74 2.54 C19.35 2.54, 19.01 1.86, 18.93 2.67" stroke="#000000" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(313.1416993957564 208.45690802874537) rotate(0 112.51613724930934 -0.5542380287312199)"><path d="M1.18 -0.21 C38.76 -0.3, 187.33 -0.93, 224.69 -0.84 M0.35 -1.37 C37.8 -1.3, 186.19 -0.27, 223.58 0.26" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(312.8292952255506 274.3029669467112) rotate(0 115.07253403855862 -0.13955812637061626)"><path d="M-0.3 -0.84 C37.91 -0.75, 191.99 0.14, 230.45 0.33 M1.74 1.34 C39.72 1.07, 191.65 -1.69, 229.66 -1.61" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(310.4940687119049 209.67595319104748) rotate(0 8.540394326687988 30.813772232010592)"><path d="M4.27 0 L14.68 0.27 L16.81 2.4 L17.08 57.36 L16.01 60.56 L14.68 61.36 L2.4 61.36 L0.27 59.23 L0 4.27 L1.07 1.07 L4.27 0" stroke="none" stroke-width="0" fill="#ffffff"></path><path d="M4.27 0 M4.27 0 C6.48 0, 8.69 0, 12.81 0 M4.27 0 C6.8 0, 9.34 0, 12.81 0 M12.81 0 C15.66 0, 17.08 1.42, 17.08 4.27 M12.81 0 C15.66 0, 17.08 1.42, 17.08 4.27 M17.08 4.27 C17.08 18.27, 17.08 32.27, 17.08 57.36 M17.08 4.27 C17.08 24.6, 17.08 44.92, 17.08 57.36 M17.08 57.36 C17.08 60.2, 15.66 61.63, 12.81 61.63 M17.08 57.36 C17.08 60.2, 15.66 61.63, 12.81 61.63 M12.81 61.63 C10.29 61.63, 7.77 61.63, 4.27 61.63 M12.81 61.63 C10.72 61.63, 8.63 61.63, 4.27 61.63 M4.27 61.63 C1.42 61.63, 0 60.2, 0 57.36 M4.27 61.63 C1.42 61.63, 0 60.2, 0 57.36 M0 57.36 C0 44.51, 0 31.67, 0 4.27 M0 57.36 C0 43.3, 0 29.24, 0 4.27 M0 4.27 C0 1.42, 1.42 0, 4.27 0 M0 4.27 C0 1.42, 1.42 0, 4.27 0" stroke="transparent" stroke-width="1" fill="none"></path></g><g transform="translate(343.99573241128996 228.3948587174848) rotate(0 83.23999786376953 13)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Ingestion Pipeline</text></g><g stroke-linecap="round"><g transform="translate(198 248.4604580589721) rotate(0 54.42665072464729 1.6215994087413037)"><path d="M-1.07 2.48 C31.76 -3.43, 73.8 -1.44, 109.92 4.66 M-0.31 -1.29 C35.67 -1.97, 73.41 0.07, 108.19 4.54" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(198 248.4604580589721) rotate(0 54.42665072464729 1.6215994087413037)"><path d="M78.02 14.28 C85.22 5.43, 101.53 4.16, 111.09 6.58 M78.77 10.51 C88.14 7.17, 99.42 5.86, 109.36 6.46" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(198 248.4604580589721) rotate(0 54.42665072464729 1.6215994087413037)"><path d="M80.16 -6.13 C86.46 -8.23, 102.07 -2.76, 111.09 6.58 M80.92 -9.9 C89.84 -6.28, 100.39 -0.66, 109.36 6.46" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(212.05448735360926 351.05928049285467) rotate(0 46.51654501308104 -44.66506569486364)"><path d="M2.47 3.33 C22.4 -27.9, 46.69 -46.84, 94.82 -90.48 M-1.79 1.15 C36.41 -32.15, 68.44 -65.83, 93.5 -92.66" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(212.05448735360926 351.05928049285467) rotate(0 46.51654501308104 -44.66506569486364)"><path d="M84.05 -61.8 C84.37 -75.24, 87.85 -77.89, 95.25 -92.12 M79.79 -63.98 C87.31 -74.68, 89.61 -85.1, 93.93 -94.31" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(212.05448735360926 351.05928049285467) rotate(0 46.51654501308104 -44.66506569486364)"><path d="M69.15 -75.9 C73.56 -86, 80.86 -85.03, 95.25 -92.12 M64.88 -78.09 C77.65 -83.5, 85.42 -88.75, 93.93 -94.31" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(139.11999893188477 334.0799985486083) rotate(34.47221388003644 25.880001068115234 12.5)"><text x="25.880001068115234" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">audit</text></g><g transform="translate(51.85000038146973 338.0799985486083) rotate(313.6251652194306 15.149999618530273 12.5)"><text x="15.149999618530273" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">file</text></g><g transform="translate(143.0399990081787 434.0799985486083) rotate(319.214178522734 28.96000099182129 12.5)"><text x="28.96000099182129" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">metric</text></g><g transform="translate(45.38999938964844 446.0799985486083) rotate(27.681061568485273 32.61000061035156 12.5)"><text x="32.61000061035156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">packet</text></g><g stroke-linecap="round" transform="translate(27 132.07999854860827) rotate(0 81.5 24.5)"><path d="M-3.15 2.73 C56.74 1.07, 112.86 -0.89, 165.28 -1.54 M1.01 1.36 C31.55 -2.02, 66.63 0.66, 164.92 -1.39 M164.83 0.33 C160.14 12.58, 160.62 21.75, 162.27 48.37 M164.57 -1.54 C161.47 13.07, 162.17 27.68, 164.14 48.76 M165.72 48.67 C118.78 47.54, 72.19 51.63, 2.04 46.08 M164.51 47.99 C117.46 52.73, 75 49.94, 0.94 47.38 M-1.14 45.42 C2.45 39.14, 0.02 28.42, -2.6 -3.52 M1.35 47.5 C2.43 37.34, -0.63 22.09, -0.63 -1.37" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(55.77000045776367 144.07999854860827) rotate(0 52.72999954223633 12.5)"><text x="52.72999954223633" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Connectors</text></g><g stroke-linecap="round"><g transform="translate(193 144.44928254333172) rotate(0 54.41100705035137 44.69348482040937)"><path d="M-0.85 -1.14 C18.74 21.53, 47.09 39.04, 109.67 88.55 M-0.2 1.35 C20.82 22.68, 46.53 38.94, 107.3 90.52" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(193 144.44928254333172) rotate(0 54.41100705035137 44.69348482040937)"><path d="M78.17 79.36 C81.47 85.45, 92.28 85.21, 108.53 87.93 M78.83 81.85 C83.45 84.74, 92.16 83.8, 106.15 89.9" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(193 144.44928254333172) rotate(0 54.41100705035137 44.69348482040937)"><path d="M91.23 63.53 C91.43 73.27, 99.38 76.5, 108.53 87.93 M91.88 66.02 C93.62 72.06, 99.56 74.48, 106.15 89.9" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(130.26392864771765 59.26336026474746) rotate(0 -21.36383904877823 -24.63168013237373)" fill-rule="evenodd"><path d="M0 0 L-42.73 0 L-42.73 -49.26 L-29.83 -49.26 L-23.81 -48.66 L-18.21 -46.93 L-13.14 -44.18 L-8.72 -40.54 L-5.08 -36.12 L-2.33 -31.05 L-0.6 -25.45 L0 -19.44 L0 0" stroke="none" stroke-width="0" fill="#F3BD19" fill-rule="evenodd"></path><path d="M0 0 C-16.04 0, -32.09 0, -42.73 0 M0 0 C-16.69 0, -33.39 0, -42.73 0 M-42.73 0 C-42.73 -15.89, -42.73 -31.78, -42.73 -49.26 M-42.73 0 C-42.73 -9.92, -42.73 -19.84, -42.73 -49.26 M-42.73 -49.26 C-38.28 -49.26, -33.83 -49.26, -29.83 -49.26 M-42.73 -49.26 C-39.43 -49.26, -36.12 -49.26, -29.83 -49.26 M-29.83 -49.26 C-27.71 -49.05, -25.59 -48.84, -23.81 -48.66 M-29.83 -49.26 C-27.8 -49.06, -25.78 -48.86, -23.81 -48.66 M-23.81 -48.66 C-21.69 -48.01, -19.58 -47.35, -18.21 -46.93 M-23.81 -48.66 C-22.56 -48.28, -21.31 -47.89, -18.21 -46.93 M-18.21 -46.93 C-16.9 -46.22, -15.6 -45.52, -13.14 -44.18 M-18.21 -46.93 C-16.33 -45.91, -14.45 -44.89, -13.14 -44.18 M-13.14 -44.18 C-12.22 -43.43, -11.31 -42.67, -8.72 -40.54 M-13.14 -44.18 C-11.93 -43.19, -10.72 -42.19, -8.72 -40.54 M-8.72 -40.54 C-7.63 -39.21, -6.53 -37.88, -5.08 -36.12 M-8.72 -40.54 C-7.47 -39.02, -6.22 -37.5, -5.08 -36.12 M-5.08 -36.12 C-4.4 -34.86, -3.71 -33.59, -2.33 -31.05 M-5.08 -36.12 C-4.31 -34.71, -3.54 -33.29, -2.33 -31.05 M-2.33 -31.05 C-1.85 -29.5, -1.37 -27.94, -0.6 -25.45 M-2.33 -31.05 C-1.75 -29.16, -1.16 -27.27, -0.6 -25.45 M-0.6 -25.45 C-0.42 -23.63, -0.24 -21.8, 0 -19.44 M-0.6 -25.45 C-0.42 -23.61, -0.23 -21.78, 0 -19.44 M0 -19.44 C0 -15.25, 0 -11.07, 0 0 M0 -19.44 C0 -12.16, 0 -4.88, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(130.26392864771765 102.15999709721655) rotate(0 -21.44831910288002 -21.448318416234542)" fill-rule="evenodd"><path d="M0 0 L-8.63 -0.87 L-16.67 -3.36 L-23.96 -7.3 L-30.31 -12.53 L-35.55 -18.87 L-39.52 -26.16 L-42.02 -34.22 L-42.9 -42.9 L0 -42.9 L0 0" stroke="none" stroke-width="0" fill="#231F20" fill-rule="evenodd"></path><path d="M0 0 C-2.94 -0.3, -5.88 -0.59, -8.63 -0.87 M0 0 C-3.36 -0.34, -6.71 -0.67, -8.63 -0.87 M-8.63 -0.87 C-10.94 -1.58, -13.25 -2.3, -16.67 -3.36 M-8.63 -0.87 C-11.13 -1.64, -13.64 -2.42, -16.67 -3.36 M-16.67 -3.36 C-18.69 -4.45, -20.7 -5.54, -23.96 -7.3 M-16.67 -3.36 C-19.16 -4.7, -21.64 -6.05, -23.96 -7.3 M-23.96 -7.3 C-26.36 -9.27, -28.76 -11.25, -30.31 -12.53 M-23.96 -7.3 C-25.68 -8.71, -27.4 -10.13, -30.31 -12.53 M-30.31 -12.53 C-31.45 -13.91, -32.6 -15.29, -35.55 -18.87 M-30.31 -12.53 C-31.93 -14.48, -33.54 -16.44, -35.55 -18.87 M-35.55 -18.87 C-36.99 -21.5, -38.42 -24.14, -39.52 -26.16 M-35.55 -18.87 C-36.54 -20.68, -37.53 -22.5, -39.52 -26.16 M-39.52 -26.16 C-40.48 -29.27, -41.45 -32.37, -42.02 -34.22 M-39.52 -26.16 C-40.39 -28.95, -41.25 -31.75, -42.02 -34.22 M-42.02 -34.22 C-42.25 -36.49, -42.48 -38.76, -42.9 -42.9 M-42.02 -34.22 C-42.27 -36.71, -42.52 -39.19, -42.9 -42.9 M-42.9 -42.9 C-32.98 -42.9, -23.07 -42.9, 0 -42.9 M-42.9 -42.9 C-31.96 -42.9, -21.03 -42.9, 0 -42.9 M0 -42.9 C0 -26.39, 0 -9.87, 0 0 M0 -42.9 C0 -29.41, 0 -15.91, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(130.26392864771765 59.26336026474746) rotate(0 19.52064086464634 21.448318416234542)" fill-rule="evenodd"><path d="M0 0 L39.04 0 L39.04 42.9 L0 42.9 L0 0" stroke="none" stroke-width="0" fill="#3EBEB0" fill-rule="evenodd"></path><path d="M0 0 C9.12 0, 18.24 0, 39.04 0 M0 0 C9.03 0, 18.07 0, 39.04 0 M39.04 0 C39.04 10.66, 39.04 21.32, 39.04 42.9 M39.04 0 C39.04 15.37, 39.04 30.73, 39.04 42.9 M39.04 42.9 C26.77 42.9, 14.5 42.9, 0 42.9 M39.04 42.9 C26.32 42.9, 13.59 42.9, 0 42.9 M0 42.9 C0 27.35, 0 11.81, 0 0 M0 42.9 C0 26.37, 0 9.84, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(130.26392864771765 59.26336026474746) rotate(0 4.523519754982658 21.448318416234542)" fill-rule="evenodd"><path d="M0 0 L9.05 0 L9.05 42.9 L0 42.9 L0 0" stroke="none" stroke-width="0" fill="#37A595" fill-rule="evenodd"></path><path d="M0 0 C2.79 0, 5.58 0, 9.05 0 M0 0 C3.19 0, 6.39 0, 9.05 0 M9.05 0 C9.05 11.56, 9.05 23.12, 9.05 42.9 M9.05 0 C9.05 12.91, 9.05 25.82, 9.05 42.9 M9.05 42.9 C6.88 42.9, 4.72 42.9, 0 42.9 M9.05 42.9 C6.92 42.9, 4.8 42.9, 0 42.9 M0 42.9 C0 33.71, 0 24.52, 0 0 M0 42.9 C0 33.89, 0 24.88, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(179 65.07999854860827) rotate(0 58.16512716181683 77.14994609080895)"><path d="M-0.91 -3.44 C41.16 59.4, 84.75 116.71, 117.24 156.29 M-0.64 0.09 C45.3 60.7, 88.34 115.82, 116.57 157.74" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(179 65.07999854860827) rotate(0 58.16512716181683 77.14994609080895)"><path d="M90.99 137.22 C97.18 147.81, 106.35 154.02, 115.37 157.7 M91.26 140.74 C101.26 148.84, 109.6 152.43, 114.7 159.15" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(179 65.07999854860827) rotate(0 58.16512716181683 77.14994609080895)"><path d="M107.74 125.36 C107.9 140.1, 110.94 150.66, 115.37 157.7 M108.01 128.88 C111.92 141.2, 114.05 149.17, 114.7 159.15" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(598 14.079998548608273) rotate(0 87 28)"><path d="M0.17 1.73 C56.55 0.89, 114.3 4.73, 170.89 -3.34 M-0.77 0.53 C59.39 3.28, 116.45 3.89, 172.61 -0.14 M177.37 -2.3 C170.28 24.14, 176.01 39.35, 170.65 58.49 M175.68 0.2 C173.46 18.65, 172.91 40.81, 173.57 54.21 M171.65 56.16 C126.9 56.12, 85.18 58.87, -1.64 59.64 M174.66 54.14 C131.29 51.82, 89.4 52.04, -0.48 57.09 M0.29 57.68 C-2.33 41.93, -2.31 17.81, 1.26 -3.04 M0.72 55.56 C-0.89 41.4, -2.53 27.24, -0.76 -0.17" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(606.5500030517578 29.579998548608273) rotate(0 78.44999694824219 12.5)"><text x="78.44999694824219" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Detection Rules</text></g><g stroke-linecap="round"><g transform="translate(691 76.07999854860827) rotate(0 0.026192999933073224 50.34467505477369)"><path d="M-1.93 2.93 C-1.12 21.23, 2.02 41.27, 0.3 98.86 M-0.78 -0.65 C0.91 22.75, 2.87 41.82, 1.56 101.34" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(691 76.07999854860827) rotate(0 0.026192999933073224 50.34467505477369)"><path d="M-10.38 75.99 C-7.96 78.8, -2.89 83.5, 0.85 100.2 M-9.22 72.41 C-7 80.82, -3.16 84.83, 2.12 102.68" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(691 76.07999854860827) rotate(0 0.026192999933073224 50.34467505477369)"><path d="M10.14 76.17 C8.17 79.28, 8.85 83.94, 0.85 100.2 M11.3 72.59 C9.2 80.78, 8.74 84.75, 2.12 102.68" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(393 17.079998548608273) rotate(0 87 28)"><path d="M3.97 -4 C40.37 -0.31, 75.21 -0.48, 175.3 -0.38 M-1.46 -1.94 C58 3.05, 117.25 3.22, 174.12 0.8 M174.98 -1.26 C170.69 13.33, 173.63 31.9, 170.64 59.42 M172.54 0.6 C174.53 11.87, 172.58 23.61, 175.42 54.63 M174.43 53.41 C118.45 52.16, 71.83 51.89, 0.07 57.79 M173.3 56.48 C123.66 59.28, 75.57 60.27, -1.65 55.49 M-3.5 57.21 C-2.68 42.71, 0.43 27.3, 0.97 1.44 M1 54.43 C-1.43 44.24, -0.6 28.07, -1.25 0.57" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(415.5199966430664 32.57999854860827) rotate(0 64.4800033569336 12.5)"><text x="64.4800033569336" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Anomaly Jobs</text></g><g stroke-linecap="round"><g transform="translate(476 76.07999854860827) rotate(0 89.11862895565343 56.22953956156334)"><path d="M-2.76 -3.16 C52.17 26.96, 95.06 56.7, 181 115.62 M1.01 -0.86 C51.53 34.29, 98.74 64.83, 180.05 113.39" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(476 76.07999854860827) rotate(0 89.11862895565343 56.22953956156334)"><path d="M147.49 103.95 C161.42 106.88, 163.29 107.88, 181.19 116.37 M151.78 106.56 C160.75 110.78, 165.9 111.56, 180.12 113.84" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(476 76.07999854860827) rotate(0 89.11862895565343 56.22953956156334)"><path d="M158.14 86.4 C169.49 94.14, 168.51 99.83, 181.19 116.37 M162.43 89.02 C168.44 97.97, 170.65 103.61, 180.12 113.84" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(834 207.07999854860827) rotate(0 57 22)"><path d="M0.84 0.72 C27.05 0.47, 54.67 4.75, 111.18 3.21 M-1.64 0.79 C41.3 0.2, 81.73 0.98, 112.17 0.32 M112.17 2.97 C112.69 13.55, 116.49 30.8, 117.8 45.77 M114.81 1.31 C114.41 15.43, 115.36 27.77, 114.33 44.91 M115.15 41.22 C89.56 39.01, 64.73 44.72, 1.13 41.3 M114.3 43.49 C87.89 41.41, 58.85 41.93, 0.95 44.26 M-1.16 47.61 C-1 32.84, 2.2 19.16, -2.03 -3.49 M-0.94 44.13 C1.87 29.4, 1.61 13.28, 1.6 0.19" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(862.9600009918213 218.07999854860827) rotate(0 30.03999900817871 12.5)"><text x="30.03999900817871" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Alerts</text></g><g stroke-linecap="round"><g transform="translate(733 232.07999854860827) rotate(0 47.96267419029027 -0.9019190713008811)"><path d="M0.49 -2.79 C20.16 4.45, 40.27 -0.95, 93.84 -0.85 M1.95 -1.35 C24.57 -0.09, 48.15 1.25, 95.43 0.3" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(733 232.07999854860827) rotate(0 47.96267419029027 -0.9019190713008811)"><path d="M67.82 8 C73.58 11.95, 79.86 4.2, 93.28 -1.56 M69.28 9.44 C75.18 7.52, 82.06 6.04, 94.87 -0.41" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(733 232.07999854860827) rotate(0 47.96267419029027 -0.9019190713008811)"><path d="M67.65 -12.52 C73.57 -4.38, 79.88 -7.95, 93.28 -1.56 M69.11 -11.08 C75.11 -7.96, 82.04 -4.39, 94.87 -0.41" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask></svg>
\ No newline at end of file
diff --git a/assets/2023/07/2023-07-20-vertex-ai.svg b/assets/2023/07/2023-07-20-vertex-ai.svg
new file mode 100644
index 0000000..c39ae38
--- /dev/null
+++ b/assets/2023/07/2023-07-20-vertex-ai.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1114 471.5" width="2228" height="943">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="1114" height="471.5" fill="#ffffff"></rect><g stroke-linecap="round" transform="translate(11.5 12.5) rotate(0 259.5 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.93 4.84 C1.35 4.05, 3.5 1.5, 5.93 0.6 M-0.71 6.23 C1.61 3.86, 3.71 2.07, 5.35 1.15 M1.32 14.58 C1.73 4.3, 7.77 4.21, 10.76 0.87 M0.96 10.5 C0.88 8.72, 6.14 6.53, 10.2 -0.03 M1.81 20.6 C3.17 10.74, 10 8.82, 13.88 -3.01 M0.23 17.48 C7.43 13.04, 9.04 4.2, 13.77 -0.32 M-0.3 25.75 C6.14 15.61, 9.86 7.66, 21.13 -3.53 M0.49 22.6 C4.39 21.52, 9.86 13.19, 21.38 0.83 M-1.48 29.22 C3.46 24.49, 13.17 13.4, 26.63 4.1 M-1.36 30.51 C7.58 21.94, 13.89 17.63, 27.98 0.59 M-2.38 34.99 C9.6 27.64, 17.25 14.78, 28.03 2.38 M1.53 35.78 C4.96 28.15, 14.24 23.08, 30.08 0.38 M-0.7 41.99 C14.2 25.87, 30.1 11.27, 38.01 0.99 M1.89 41.23 C13.49 26.8, 30.58 10.46, 38.07 0.18 M-0.43 49.61 C17.94 31.6, 30.62 11.78, 42.32 2.08 M-2.08 48.52 C13.35 32.54, 28.46 15.34, 43.03 0.97 M1.48 55.67 C13.37 45.32, 16.41 30.29, 51.27 1.47 M-0.42 53.26 C17.6 31.68, 35.55 14.06, 49.17 -0.96 M2.66 57.69 C24.29 34.9, 43.89 11.61, 49.72 1.96 M0.89 59.4 C18.24 37.81, 40.2 16.78, 52.65 0.4 M0.62 66.89 C10.81 52.27, 27.4 36.7, 56.58 -1.5 M-1.79 66.38 C18.58 40.82, 40.45 20.73, 57.98 -0.83 M4.81 67.65 C20.33 46.76, 42.75 26.95, 66.81 -0.48 M7.11 65.65 C24.17 44.73, 44.89 19.05, 64.9 -0.1 M11.62 65.1 C25.38 54.4, 41.33 36.96, 70.94 4.14 M10.31 65.49 C22.98 56.06, 33.94 41.12, 68.75 0.02 M17.52 65.05 C30.04 46.9, 50.39 26.41, 77.05 -0.59 M15.61 67.95 C39.57 42.13, 60.26 14.22, 75.33 0.13 M17.27 65.24 C44.97 39.55, 60.75 16.77, 82.26 1.6 M19.03 65.33 C33.74 52.12, 49.4 37.94, 81.3 -1.53 M25.94 68.62 C39.94 52.57, 59.74 33.7, 86.77 -2.61 M27.69 66.49 C43.48 47.99, 63.94 24.72, 85.04 1.2 M34.41 68.59 C44.73 52.77, 64.27 32.47, 89.31 1.19 M32.2 67.27 C46.27 48.28, 65.45 30.07, 91.01 0.85 M39.35 70.21 C51.49 42.79, 69.13 27.42, 93.18 -3.67 M37.49 68.84 C58.37 42.18, 76.61 19.4, 96.67 -1.35 M38.75 67.52 C55.78 55.22, 64.55 35.17, 101.73 0.36 M43.24 68.1 C63.16 43.24, 83.93 18.22, 100.82 -1.07 M45.89 64.74 C71.72 40.84, 87.36 18.59, 108.37 -1.75 M46.71 68.01 C60.38 52.45, 71.78 36.49, 106.47 -0.54 M52.87 69.54 C75.24 40.45, 90.98 21.77, 108.05 -0.32 M51.12 68.04 C72.24 48.57, 88.59 25.37, 113.24 1.89 M60.59 66.29 C72.86 49.05, 85.16 33.7, 118.63 -2.97 M56.58 66.45 C81.22 40.83, 99.5 17.6, 115.55 -1.2 M66.24 65.3 C85.45 42.86, 105.55 22.42, 123.66 2.86 M64.38 66.75 C77.53 51.18, 91.09 38.78, 122.32 0.38 M69.33 68.06 C81.53 46.81, 96.02 31.61, 127.13 -0.56 M67.94 68.04 C83.66 50.51, 97.5 32.98, 128.59 1.02 M75.18 68.54 C86.45 50.46, 94.31 36.87, 134.84 0.71 M73.12 67.36 C90.64 49.43, 107.02 29.12, 133.72 -1.54 M76.9 66.37 C96.21 43.14, 117.99 19.03, 133.9 -2.4 M81.16 66.1 C94.32 50.97, 107.35 35.65, 137.82 0.16 M82.91 68.16 C103.29 45.61, 122.13 24.42, 146.72 3.18 M84.99 68.39 C99.36 51.04, 113.17 35.14, 144.6 1.65 M90.93 68.67 C115.88 43.92, 138.8 11.38, 146.53 -1.98 M92.18 67.4 C108.22 45.09, 130.19 23.64, 149.74 0.95 M91.51 68.16 C113.9 47.23, 127.05 37.54, 151.34 -0.65 M97.23 67.82 C114.01 44.94, 132.27 24.39, 155.74 0.9 M97.96 69.53 C119.25 49.23, 142.43 25.09, 155.48 -1.65 M100.51 68.14 C115.28 49.28, 129.16 32.35, 160.37 -0.43 M109.93 63.68 C125.95 45.05, 145.97 21.84, 167.58 -2.6 M104.61 67.08 C129.19 40.72, 152.29 15.84, 163.45 0.59 M110.71 67.41 C129.25 40.55, 153.35 19.25, 166.09 3.34 M112.56 66.7 C130.97 43.62, 149.9 21.92, 171.31 -0.4 M114.02 64.98 C132.98 43.89, 149.69 21.22, 177.23 0.67 M115.49 67.02 C133.6 47.16, 147.69 31.53, 175.6 -1.45 M122.78 69.61 C142.75 44.94, 162.74 24.68, 182.56 0.88 M120.28 68.66 C133.16 50.87, 147.74 38.4, 181.72 0.11 M126.48 65.44 C145.6 50.99, 163.82 31.11, 188.92 -0.4 M127.78 67.93 C149.3 43.18, 173.65 15.26, 187.65 -1.97 M128.66 64.83 C145.76 53.22, 160.02 34.05, 191.98 1.97 M133.19 67.26 C143.23 49.53, 159.16 35.93, 192.34 -0.45 M136.9 65.57 C155.37 45.98, 169.97 30.33, 198.18 -4.24 M136.94 65.54 C153.76 49.63, 170.44 26.35, 194.59 -0.26 M142.36 68.16 C161.53 43.04, 183.93 20.39, 204.3 0.75 M141.06 68.48 C164.48 42.34, 185.25 17.14, 201.43 -0.14 M149.73 65.02 C165.1 54.55, 179.72 33.16, 203.41 1.85 M148.03 67.01 C169.43 42.43, 186.38 21.35, 206.99 -2.2 M156.78 65.78 C171.39 40.49, 196.8 20.28, 212.37 -1.52 M153.2 67.68 C166.82 50.85, 180.52 35.5, 212.86 -1.61 M160.31 70.52 C179.3 46.96, 196.76 22.5, 213.87 1.7 M159.63 66.95 C173.92 48.95, 186.23 36.47, 218.98 -0.2 M167.69 71.02 C180.26 46.36, 196.76 30.26, 223.88 3.55 M162.49 65.69 C176.01 51.92, 188.6 40.64, 224.03 -0.07 M170.85 63.99 C196.79 42.59, 218.11 17.27, 225.71 -1.76 M167.9 67.41 C184.72 48.44, 198.07 31.35, 228.26 -1.25 M173.75 68.33 C195.09 43.46, 220.25 14.26, 229.43 -0.54 M173.37 68.77 C189.75 51.52, 207.87 31.38, 233.92 0.7 M182.42 66.41 C200.71 40.76, 227.63 14.13, 237.3 -1.69 M178.58 65.86 C196.73 45.68, 212.18 30.19, 239.42 1.84 M184.46 69.28 C210.36 38.73, 224.76 15.34, 242.48 0.85 M185.85 68.63 C198.8 50.35, 216.32 31.86, 243.06 0.38 M195 65.93 C211.37 42.86, 229.47 26.89, 251.85 1.59 M190.95 67.22 C209.87 44.26, 228.43 21.79, 250.6 -0.55 M196.24 64.56 C214.67 39.1, 238.13 21.93, 251.34 -2.52 M195.49 66.39 C217.03 42.61, 236.89 19.44, 253.55 -1.92 M199.42 65.81 C222.2 50.23, 242.85 27.75, 257.46 -2.83 M201.84 67.84 C212.89 52.12, 227.82 37.09, 257.51 1.67 M208.34 64 C215.45 58.11, 231.91 41.19, 267.25 2.23 M205.44 68.64 C227.64 41.96, 248.71 19.01, 265.05 0.32 M209.37 68.42 C230.21 48.2, 253.53 18.06, 269.8 0.48 M213.69 67.52 C228.94 47.65, 244.93 25.3, 268.1 -0.76 M214.92 64.55 C233.93 43.2, 255.37 26.11, 276.27 3.12 M218.37 67.37 C235.55 45.92, 254.5 23.02, 274.8 1.09 M220.8 68.05 C237 53.36, 251.25 32.98, 283.38 -1.9 M221.8 66.24 C241.61 44.66, 260.74 22.53, 281.88 0.38 M229 66.28 C253.81 47.03, 274.11 15.39, 287.38 3.28 M228.54 68.04 C244.06 50.03, 261.88 32.59, 285.56 1.82 M230.47 63.8 C251.76 45.55, 270.28 20.97, 287.59 3.73 M233.02 69.16 C245.58 54.45, 258.52 37.76, 289.9 -1.29 M242.47 64.38 C258.21 45.61, 273.39 28.36, 300.39 -3.04 M237.77 65.54 C262.19 41, 282.08 15.72, 297.69 -0.66 M240.06 64.2 C260.32 51.87, 270.3 36.11, 298.71 2.19 M241.79 67.13 C257.06 49.42, 271.43 33.36, 302.81 1.32 M250.11 65.17 C264.51 45, 284.95 27.76, 306.03 1.56 M247.44 68.19 C271.33 41.46, 289.83 17.81, 309.11 -2.04 M250.78 68.13 C269.59 50.19, 289.25 27.29, 311.88 -2.57 M252.79 65.71 C272.92 45.13, 290.1 25.87, 310.79 0.7 M257.56 70.11 C278.48 46.9, 298.16 21.58, 317.87 1.58 M258.5 65.75 C282.28 37.42, 306.84 13.96, 319.28 1.41 M262.72 65.6 C287.84 43.25, 305.78 16.59, 325.13 -3.48 M264.22 65.86 C278.93 52.31, 290.4 38.87, 323.61 -1.19 M273.34 67.77 C291.01 43.84, 312.03 15.37, 332.38 -3.34 M271.44 65.41 C289.84 45.4, 309.69 21.77, 329.25 0.84 M274.82 69.75 C294.58 46.51, 320.55 20.27, 331.35 1.65 M275.87 68 C298.04 42.54, 320.81 16.36, 334.56 -0.96 M284.85 65.85 C290.53 54.24, 304.01 36.77, 336.88 1.56 M282.33 67.81 C295.89 50.73, 311.85 31.45, 337.61 -1.12 M284.93 68.83 C299.32 54.08, 310.9 38.71, 342.32 2.16 M285.1 68 C308.77 43.28, 330.98 15.89, 344.54 -1.8 M290.37 67.15 C308.42 54.62, 318.28 35.61, 348.94 -1.09 M290.81 67.04 C317.43 39.63, 339.9 15.54, 347.86 2.3 M297.76 66.23 C312.57 45.12, 332.95 22.54, 356.68 -1.52 M294.82 69.14 C318.9 41.19, 339.23 17.75, 354 -1.44 M299.03 69.65 C313.34 48.74, 334.28 35.44, 362.94 0.22 M304.07 66.59 C325.94 41.37, 346.84 14.2, 359.04 -0.91 M308.89 64.46 C325.42 47.23, 339.41 29.98, 367.94 2.19 M305.5 66.15 C319.96 52.19, 332.34 36.82, 366.92 -0.18 M314.86 66.39 C331.58 38.67, 352.78 20.04, 370.2 2.38 M312.86 67.41 C332.19 42.13, 353.7 19.73, 369.78 -1.09 M320.77 65.15 C338.04 44.36, 361.79 16.83, 372.52 -4.02 M319.17 65.19 C334.54 46.46, 351.79 27.3, 374.88 -0.89 M320.76 69.6 C346.22 43.7, 364.96 23.63, 377.53 0.64 M323.5 67.89 C341.54 43.55, 362.92 22.16, 380.94 2.12 M326.75 69.07 C349.09 47.72, 369.51 22.42, 385.67 -2.32 M327.43 67.89 C341.6 51.99, 356.85 37.35, 385.02 -1 M333.84 71.33 C358.85 40.88, 380.31 18.14, 390.67 -2.6 M333.21 68.62 C357 43.37, 376.94 16.61, 390.91 0.51 M343.03 68.09 C357.35 47.62, 382.16 19.84, 401.55 -3.76 M339.45 67.26 C354.79 50.95, 368.78 32.93, 396.02 -0.49 M344.05 64.53 C359.92 45.7, 378.25 29.55, 406.18 2.15 M344.75 69.33 C356.26 50.29, 371.12 37.85, 403.69 1.32 M352.69 69.23 C369.13 46.85, 385.91 21.53, 409.18 -0.27 M349.95 67.8 C371.54 41.45, 393.37 13.22, 410.13 -1.92 M358.28 63.52 C371.05 52.76, 377.9 34.16, 411.52 -0.46 M354.47 65.49 C374.09 44.79, 391.8 24.64, 412.79 -0.8 M361.7 70.63 C372.8 53.22, 383.72 34.43, 416.45 3.34 M359.21 65.42 C372.2 55.59, 384.28 42.2, 417.18 1.61 M362.9 69.01 C382.45 47.75, 395.61 27.76, 425.04 -2.67 M366.92 69.23 C385.09 44.56, 404.38 24.05, 425.32 0.26 M374.89 69.54 C385.96 46.67, 409.84 24.2, 426.14 -2.6 M373.08 67.48 C385.68 49.81, 398.52 32.86, 430.55 -1.59 M379.2 68.81 C400.44 37.58, 420.76 15.53, 431.94 2.4 M374.26 66.11 C389.5 50.43, 401.78 34.05, 433.94 2.04 M379.96 70.34 C397.27 51.12, 413.28 30.3, 443.89 -0.65 M382.98 68.76 C396.41 51.78, 410.24 31.07, 439.17 -1.76 M383.32 69.87 C398.49 54.83, 419.07 37.99, 448.29 -3.25 M388.16 67.16 C400.06 49.41, 415.3 30.53, 444.88 1.53 M395.5 68.56 C412.28 42.58, 437.71 17.35, 454.23 -2.23 M393.88 67.5 C410.4 42.44, 430.88 20.98, 451.56 0.3 M394.28 66.27 C416.56 47.13, 438.02 27.7, 457.08 1.54 M395.87 68.83 C416.12 44.01, 433.69 24.92, 453.92 -0.86 M406.98 66.81 C415.53 46.65, 433.45 29.44, 460.54 0.36 M404.31 65.37 C420.17 45.65, 439.1 27.02, 459.77 1.23 M409.98 63.2 C421.37 54.44, 434.05 35.46, 464.11 -3 M408.23 68.98 C429.79 43.63, 452.67 16.71, 466.4 -1.27 M414.72 66.87 C430.75 51.81, 447.28 25.41, 468.45 2.68 M414.38 67.46 C426.61 49.21, 441.76 32.16, 470.79 -0.14 M415.19 68.98 C434.53 54.52, 446.03 32.36, 474.12 2.54 M419.61 66.96 C436.86 47.75, 454.14 26.06, 477.25 -0.42 M425.93 69.61 C442.48 45.2, 455.03 31.92, 480.41 1.19 M425.74 66.33 C444.97 38.79, 468.58 15.23, 481.11 2.18 M429.55 71.06 C447.39 49.49, 467.83 23.42, 490.67 -3.35 M427.94 67.52 C441.56 53.32, 454.31 38.38, 486.93 0.42 M438.7 67.05 C458.57 38.47, 481.3 15.48, 491.79 -2.3 M433.61 65.95 C452.15 48.74, 468.01 32.14, 492.85 1.91 M443.59 68.02 C451.44 51.35, 466.32 27.76, 500.23 -3.02 M438.74 68.86 C458.12 44.93, 477.62 27.85, 497.48 -0.56 M441.98 66.32 C470 36.75, 489.57 15.9, 501.49 -3.59 M446.8 65.73 C458.99 48.83, 473.28 32.73, 504.3 1.42 M450.7 69.55 C464.38 52.81, 478.8 38.52, 512.13 -3.71 M449.08 66.61 C466.48 51.38, 477.34 34.35, 508.5 -1.79 M454.96 66.44 C472.35 45.62, 498.03 20.09, 511.28 -3.35 M454.97 69.29 C471 49.8, 489.7 30, 513.36 0.54 M463.16 64.46 C483.4 40.99, 498.44 18.26, 517.93 3.2 M459.57 65.86 C480.76 45.05, 501.97 22.47, 520.5 2.56 M465.66 71.28 C479.67 51.18, 492.54 40.45, 520.55 6.9 M467.37 65.41 C479.92 51.89, 495.23 32.67, 520.22 6.56 M472.11 68.72 C490.29 46.21, 505.7 31.04, 515.52 11.31 M470.43 65.1 C481.95 54.48, 496.55 41.88, 519 11.51 M474.99 70.1 C489.66 53.36, 502.04 40.29, 520.82 16.73 M476.8 68.57 C486.35 54.04, 498.84 44.08, 517.88 18.2 M479.58 69.39 C490.3 50.4, 503.41 40.34, 520.71 23.42 M481.39 68.28 C489.18 57.7, 498.31 47.18, 518.15 25.67 M483.43 66.54 C495.62 55.51, 506.88 42.14, 519.1 29.56 M486.31 67.94 C497 55.32, 503.52 48.18, 519.51 30.29 M490.45 64.67 C496.57 57.72, 510.97 48.95, 522.33 36.79 M491.78 68.8 C499.66 61.89, 505.8 54.2, 519.78 36.39 M498.31 63.37 C507.26 61.73, 512.15 52.3, 521.95 39.7 M496.49 68.12 C506.42 56.8, 514.63 48.87, 518.54 42.9 M504.5 63.89 C507.92 61.32, 513.78 52.22, 516.08 47.8 M504.47 65.48 C507.8 63.78, 511.86 58.83, 519.32 50.46 M509.6 69.81 C511.31 64.73, 514.26 58.56, 520.53 54.9 M509.33 68.78 C512.27 62.6, 515.32 58.98, 518.24 55.67 M515.04 65.65 C514.51 66.37, 516.91 63.19, 519.26 61.25 M514.18 66.73 C515.51 65.2, 516.75 64.68, 518.27 62" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M0.27 0.1 C122.65 -2.84, 243.24 -4.22, 518.69 0.16 M-0.01 -0.8 C120.24 1.6, 240.47 1.81, 519.34 0.59 M517.42 0.63 C515.51 17.32, 520 35.83, 521.03 65.51 M517 1.75 C518.12 20.25, 520.15 42.48, 519.88 67.5 M519.72 66.54 C340.47 67.45, 161.47 69.97, -1 67.2 M518.33 66.44 C386.57 69.06, 253.61 69.93, -0.49 66.22 M2.04 65.06 C-3.71 42.96, 2.13 23.01, -0.83 0.02 M-0.27 67.91 C-1.06 53.12, 0.71 36.73, -0.05 -1.56" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(177.64800262451172 28.5) rotate(0 93.35199737548828 17.5)"><text x="93.35199737548828" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Model Garden</text></g><g stroke-linecap="round" transform="translate(585 10) rotate(0 259.5 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-0.06 5.44 C-0.52 5.84, 0.86 2.4, 4.52 1.79 M0.05 6.92 C0.41 5.18, 3.01 3.73, 4.61 0.19 M2.35 12.01 C4.01 9.23, 8.82 3.88, 13.66 2.77 M1.62 12.94 C3.69 9.01, 6.47 6.24, 11.23 -0.16 M-1.68 18.78 C4.49 14.78, 11.22 10.08, 14.14 -3.58 M0.4 17.74 C4.82 14.49, 6.74 8.19, 15.51 0.93 M-2.61 21.57 C10.48 17.25, 16.75 7.58, 24.28 -1.46 M-0.38 25.47 C7.03 17.56, 12.12 12.65, 20.97 1.26 M2.05 28.81 C1.81 26.32, 13.8 19.56, 23.88 2.05 M1.4 30.98 C5.6 24.64, 10.21 17.76, 24.77 0.73 M2.64 34.14 C7.67 24.77, 20.56 16.26, 35.82 -3.18 M-0.43 38.6 C8.22 27.15, 16.96 20.74, 31.26 -0.4 M0.7 45.9 C15.41 28.61, 26.08 18.49, 34.25 3.7 M-0.34 40.99 C10.16 32.51, 16.75 20.52, 36.5 0.88 M-0.31 52.62 C12.77 40.07, 17.43 23.14, 38.66 -0.27 M-1.42 49.82 C8.73 37.83, 17.37 29.7, 43.18 0.61 M2.42 53 C15.25 40.56, 28.51 29.88, 45.33 -0.6 M-1.15 54.79 C17.14 35.21, 33.66 13.79, 48.92 -1.65 M-1.54 57.24 C15.28 48.27, 23.06 31.7, 49.35 -4.13 M0.96 62.12 C13.25 47.19, 21.27 34.87, 53.23 -0.53 M1.57 68.95 C22.49 41.06, 41.01 20.89, 56.09 2.27 M1.59 65.58 C16.63 49.44, 32.44 28.39, 57.82 1.57 M5.66 68.63 C25.26 44.61, 44.61 20.84, 63.26 0.92 M6.51 67.13 C25.14 47.72, 41.76 27.94, 65.49 0.83 M7.87 69.34 C31.15 39.02, 57.37 15.68, 72.35 0.58 M10.49 65.66 C33.8 40.2, 54.54 16.24, 68.54 -1.61 M13.62 64.52 C34.45 45.78, 53.96 25.78, 70.67 1.7 M15.3 65.97 C36.36 43, 57.37 20.78, 75.58 -1.25 M18.92 67.34 C36.55 49.67, 45.66 38.4, 82.83 -2.29 M20.79 67.19 C41.43 42.23, 63.09 17.67, 79.99 0.1 M24.31 67.86 C43.73 43.43, 67.55 17.76, 88.73 -3.83 M27.77 65.19 C47.44 44.6, 64.2 18.66, 86.71 0.75 M30.38 66.38 C50.77 44.94, 67.82 29.04, 91.1 -3.84 M30.42 66.93 C46.36 47.48, 64.94 29.11, 88.65 1.44 M35.8 70.64 C53.89 52.83, 63.82 33.44, 97.46 1.4 M39.13 68.79 C53.22 48.76, 67.97 28.57, 97.61 -0.23 M40.77 65.05 C62.63 44.81, 80.04 22.7, 99.63 -2.42 M40.89 67.06 C65.53 43.2, 83.19 19.38, 100.56 0.56 M45.06 64 C69.39 45.91, 86.64 23.36, 103.75 -2.42 M46.17 68.19 C67.77 43.43, 85.65 23.71, 106.61 -1.8 M51.48 65.05 C67.44 45.12, 85.59 29.06, 109.76 2.72 M53.27 67.24 C68.18 49.21, 84.46 31.38, 111.32 -0.93 M55.92 70.2 C81.44 47.89, 94.08 21.32, 116.73 0.78 M59.23 66.23 C80.76 44.43, 102.26 18.71, 114.93 0.63 M66.79 63.18 C81.31 40.68, 104.76 18.15, 121.69 3.47 M64.18 68.53 C86.04 44.93, 103.04 20.52, 122.07 -1.98 M71.08 70.63 C84.56 45.34, 106.24 24.36, 126.35 3.96 M70.23 65.21 C90.18 46.22, 108.24 21.91, 125.34 -1.21 M77.84 67.4 C92.88 39.35, 115.57 14.6, 134.5 -1.16 M73.83 65.44 C97.77 41.74, 119.33 15.56, 131.56 1.89 M76.14 69.79 C96.28 49.35, 108.75 33.59, 139.47 -2.57 M80.65 66.86 C96.47 47.51, 115.75 25.2, 138.17 0.15 M86.65 64.79 C99.86 51.1, 121.69 27.94, 146.15 2.97 M85.96 65.93 C101.48 49.26, 115.4 32.73, 144.06 -1.42 M87.55 63.32 C107.49 51.42, 118.6 33.15, 150.49 -2.1 M89.51 68.34 C107.86 45.89, 125.34 27, 149.99 0.83 M98.12 69.53 C118.12 43.59, 133.19 18.71, 153.49 -2.9 M95.9 67.37 C119.35 43.5, 138.92 20.95, 153.42 -0.54 M104.65 69.98 C118.61 48.04, 133.99 28.22, 156.69 1.17 M101.42 66.26 C124.12 40.8, 141.45 19.42, 156.93 -1.58 M104.02 66.96 C121.72 52.26, 131.82 38.28, 168.21 1.63 M106.51 68.6 C126.19 46.85, 141.67 26.41, 163.06 -0.68 M108.99 68.42 C128.44 46.22, 141.93 34.45, 166.21 -1.79 M109.89 65.42 C123.24 50.92, 139.74 34.82, 170.69 -0.08 M115 69.51 C139.47 45.73, 157.73 21.63, 176.9 -3.93 M116.25 65.86 C137.92 42.63, 157.78 17.11, 173.95 0.39 M122.96 66.12 C132.55 51.41, 152.42 31.97, 182.07 -0.91 M119.94 67.79 C138.9 45.51, 158.18 28.6, 178.53 1.78 M128.58 68.77 C143.98 48.46, 156.69 36.11, 189.03 -0.95 M127.12 68.87 C146.81 43.09, 164.9 23.46, 184.62 0.33 M133.87 63.98 C150.72 42.9, 174.6 14.23, 194.16 0.99 M132.21 69.03 C150.8 47.67, 166.78 25.39, 191.25 1.89 M137.15 67.43 C162.73 44.42, 180.93 10.98, 196.91 -3.66 M136.69 68.75 C153.55 52.31, 166.97 35.44, 195.17 0.25 M144.55 69.26 C152.81 50.1, 167.18 38.76, 203.27 -3.75 M141.54 67.51 C161.9 44.33, 182.33 22.88, 203.24 -0.44 M152 63.3 C164.28 43.78, 185.62 18.23, 207.77 -3.19 M150.08 66.08 C172.51 40.88, 195.47 13.24, 207.27 0.69 M156.72 64.34 C170.4 45.95, 187.74 28.86, 213.03 -3.69 M152.35 69.01 C169.73 52.64, 184.81 34.38, 212.44 -0.43 M155.25 65.35 C177.36 44.88, 197.7 20.46, 219.69 0.47 M159.99 66.87 C181.42 41.39, 204.75 14, 216.13 1.63 M162.94 70.74 C183.59 50.43, 198.37 30.18, 221.97 -0.26 M162.62 66.76 C185.37 44.73, 203.52 25.13, 224.35 0.11 M171.94 69.63 C180.84 49.47, 199.78 38.73, 229.63 -1.53 M170.68 66.57 C183.42 47.5, 200.1 30.24, 226.55 -1.52 M178.69 69.09 C188.56 44.38, 203.31 27.73, 231.48 0.24 M175.87 65.44 C194.77 45.07, 215.6 19.54, 232.05 0.81 M181.96 67.35 C196.57 53.13, 209.2 35.95, 240.75 -2.18 M181.96 66.07 C201.83 42.65, 224.63 16.24, 236.22 -1.13 M186.3 63.14 C206.11 43.3, 226.16 22.71, 245.84 2.64 M185.2 65.14 C203.06 42.53, 225.43 20.8, 244.16 -1.25 M192.09 68.83 C205.99 54.83, 220.55 35.61, 249.1 2.38 M189.21 67.67 C209.36 46.1, 227.1 24.14, 250.35 -0.44 M198.98 63.79 C216.62 43.14, 233.15 23.66, 256.19 -1.13 M197.29 65.41 C210.99 51.47, 225.35 33.52, 252.87 0.44 M203.96 63.52 C217.9 50.33, 231.88 25.21, 255.58 1.43 M203.37 67.16 C221.63 45.33, 243.54 20.2, 257.77 -0.95 M204.81 65.04 C215.53 56.45, 227.93 39.74, 264.55 0.02 M208.34 65.23 C227.5 38.85, 251.6 15.93, 265.95 1.83 M214.1 67.99 C228.12 48.53, 241.4 33.32, 268.67 -1.4 M210.95 65.72 C225.8 51.58, 237.17 35.28, 269.52 -1.51 M214.74 68.02 C226.52 54.01, 240.85 38.39, 275.82 -3.72 M216.15 67.01 C235.7 49.2, 252.25 29.46, 274.7 0.3 M221.26 70.69 C236.63 52.27, 255.71 35.75, 279.69 -3.35 M221.36 66.75 C243.87 41.99, 263.12 19.27, 282.18 -1.5 M230.62 65.01 C246.29 42.05, 266.28 25.4, 289.77 -3.03 M228.07 68.61 C238.27 52.81, 254 35.43, 286.01 -1.33 M229.01 68.93 C255.86 42.67, 282.35 15.22, 294.86 -2.54 M233.54 68.81 C248.7 53.75, 262.97 34.64, 289.93 -0.88 M237.16 63.37 C255.13 46.26, 265.25 28.94, 293.05 -1.47 M237 67.32 C252.47 50.88, 266.82 35.42, 298.32 1.22 M241.85 65.42 C266.46 41.97, 282.78 20.66, 303.26 2.05 M244.03 66.17 C257.57 52.77, 272.01 35.63, 300.49 -0.18 M249.93 69.63 C269.05 43.04, 296.24 17.03, 307.18 0.55 M249.43 67.87 C269.75 42.44, 287.21 20.69, 305.63 1.62 M251.79 65.23 C268.77 50.43, 285.9 27.1, 308.84 2.55 M253.59 65.77 C273.67 42.85, 294.14 18.56, 311.14 -0.47 M259.39 65.41 C277.59 46.12, 302.97 24.79, 316.56 -2.28 M261.38 66.42 C278.73 41.44, 297.55 18.79, 317.51 -0.97 M261.74 68.55 C281.91 43.89, 304.23 21.32, 322.45 -1.79 M266.52 68 C280.2 48.93, 300.08 24.92, 324.73 0.59 M270.89 63.48 C289.04 47.03, 305.99 27.76, 332.45 -4.14 M270.45 66.59 C292.33 39.1, 316.19 15.55, 327.1 -1.99 M277.46 70.72 C301.18 42.41, 323.41 14.51, 337.79 3.44 M274.71 66.68 C291.13 45.68, 308.92 28.26, 333.67 0.81 M280.62 67.72 C296.24 53.64, 305.11 39.29, 337.01 -4.09 M279.81 67.41 C296.94 49.69, 311.99 34.57, 339.08 0.58 M283.6 70.16 C303.28 50.62, 323.34 30.64, 347.44 -0.28 M285.61 69.07 C305.45 43.15, 327.23 20.09, 343.94 1.4 M291.68 65.14 C303.27 45.72, 321.94 34.29, 346.59 2.71 M290.19 67.37 C302.74 52.81, 316.85 40.57, 349.06 -1.07 M299.69 68.47 C313.46 42.74, 340.37 19.12, 358.87 -0.3 M298.22 67.88 C317.83 44.76, 339.84 19.9, 355.07 -0.96 M306.02 65.88 C320.53 40.54, 339.58 22.12, 358.41 -2.05 M303.85 68.37 C320.1 42.95, 343.83 22.09, 358.15 0.45 M308.12 70.33 C328.41 37.78, 355.85 13.22, 362.41 -0.86 M307.09 65.23 C326.35 43.19, 349.14 17.64, 364.17 1.83 M316.48 63.19 C336.46 40.83, 349.91 24.84, 370.59 0.69 M312.66 67.78 C328.79 44.76, 348.32 24.73, 369.09 0.21 M318.15 67.56 C335.29 54.52, 342.13 36.75, 379.26 0.92 M318.38 68.71 C343.18 42.08, 365.83 15.36, 377.88 1.31 M322.76 65.46 C344.74 42.23, 368.04 20.16, 384.76 0.39 M322.03 66.39 C345.62 41.31, 361.87 20.35, 380.82 1.97 M325.95 63.12 C337.72 52.7, 351.99 42.31, 389.51 -0.94 M329.76 67.32 C339.09 52.52, 350.05 38.62, 388.44 0.47 M330.79 64.96 C354.42 44.12, 375.89 15.95, 389.46 -2.38 M334.27 69.18 C344.69 53.29, 358.81 36.68, 391.85 -1.07 M338.52 63.08 C359.87 41.71, 379.89 17.84, 396.12 2.68 M338.49 67.5 C364.39 41.15, 386.38 15.95, 397.63 1.71 M347.34 66.8 C363.04 40.22, 385.84 20.76, 400.07 4.08 M343.23 66.3 C363.9 44.53, 383.89 25.05, 404.23 1.73 M349.77 68.63 C366.28 47.26, 385.93 25.18, 408.93 -3.95 M349.4 65.15 C362.92 53.25, 377.38 33.73, 408.81 -1.1 M352.1 69.51 C381.89 39.89, 399.11 18.02, 410.87 2.58 M354.36 65.62 C376.39 38.42, 399.1 11.73, 411.61 -1.56 M364.46 68.1 C386.04 38.37, 402.65 17.35, 420.64 2.56 M358.85 65.6 C378.75 48.42, 398.11 25.26, 418.87 1.32 M364.27 69.97 C390.3 41.83, 407.8 23.65, 427.01 3.08 M367.31 65.69 C385.63 46.6, 404.58 21.97, 423.17 -1.43 M374.25 68.93 C388.65 49.68, 404.2 30.66, 430.84 -3.3 M370.79 67.59 C391.16 41.28, 414.34 17.73, 430.3 1.71 M377.93 64.19 C393.26 48.63, 412.05 25.51, 432.51 2.65 M375.31 68.47 C388.95 54.08, 402.39 36.83, 435.66 1.07 M381.65 65.69 C391.15 49.55, 408.53 36.41, 437.98 0.12 M380.73 67.33 C405.62 38.39, 428.2 11.46, 439.13 0.23 M386.05 63.3 C401.72 48.22, 420.71 26.26, 446.25 1.49 M385.15 67.39 C406.92 44.25, 425.83 22.22, 445.42 -1.67 M392.06 64.09 C409.03 45.14, 432.59 19.49, 447.4 1.58 M391.74 66.45 C409.54 46.58, 425.96 28.21, 450.96 0.48 M396.45 69.57 C416.62 43.92, 443.3 17.41, 458.03 2.91 M397.16 67.29 C413.95 51.32, 431.39 31.06, 456.3 0.16 M405.76 64.94 C429.24 35.7, 446.3 11.91, 463.31 -3.05 M402.44 68.03 C421.46 44.85, 442.91 21.64, 460.95 1.52 M407.85 68.37 C425.19 44.45, 442.72 22.8, 468.47 -2.63 M409.28 68.48 C423.04 51, 437.53 33.32, 467.77 1.83 M409.88 64.2 C435.31 41.46, 452.24 20.22, 472.14 -1.99 M415.02 68.57 C435.64 41.27, 460.64 14.84, 473.17 -1.43 M417.83 68.22 C433.3 44.72, 450.55 31.04, 473.11 2.44 M416.96 66.68 C435.08 52.25, 447.27 33.62, 478.82 0.04 M426.46 68.93 C448.25 38.57, 463.26 15.52, 485.15 -2.61 M423.25 66.03 C438.95 46.06, 456.71 30.65, 483.22 0.03 M430.85 68.76 C443.83 44.06, 462.45 30.08, 486.33 -1.19 M429.25 69.07 C452.79 39.76, 477.52 14.68, 488.01 0.92 M432.38 65.33 C446.66 54.23, 462.89 35.56, 494.53 -2.91 M436.43 67.8 C450.64 51.86, 461.63 33.77, 494.29 0.03 M442.25 68.73 C463.91 41.41, 484.72 15.49, 501.42 2.3 M440.74 66.23 C452.77 52.68, 464.38 37.93, 497.49 0.04 M447.43 66.73 C461.16 43.35, 482.07 20.45, 499.99 -2.5 M447.45 66.69 C458.45 51.99, 469.71 41.13, 503.79 -0.65 M454.22 66.04 C472.67 40.9, 491.04 20.39, 506.52 -0.12 M451.59 68.22 C470.57 43.37, 493.33 17.28, 508.94 -1.58 M453.58 66.32 C479.53 42.94, 495.48 20.09, 516.1 -1.88 M456.1 65.71 C476.6 43.66, 499.63 17.2, 514.69 -1.78 M459.86 65.68 C478.39 46.71, 494.1 32.75, 515.98 -1.65 M459.53 68.51 C480.32 45.19, 498.5 24.37, 518.96 -0.73 M469.67 66.17 C483.29 52.69, 489.51 34.97, 519.08 3.64 M467.69 67.07 C487.19 42.21, 506.72 16.86, 518.28 6.35 M475.13 63.79 C483.31 52.46, 493.8 45.22, 522.53 9.49 M471.85 68.03 C487.48 48.32, 505.43 29.23, 519.19 13.02 M475.45 65.73 C483.44 55.09, 494.61 46.99, 521.27 19.82 M477.13 68.65 C486.39 56.97, 495.26 42.92, 520.67 18.83 M482.86 63.63 C498.14 50.39, 512.56 33.44, 516.78 26.29 M481.38 67.12 C495.98 50.99, 512.28 33.03, 519.84 25.69 M486.18 66.83 C495.91 58.05, 499.82 48.6, 522.46 30.24 M487.56 69.02 C494.67 58.38, 505.65 48.23, 518.1 32.94 M496.76 67.59 C498.82 61.72, 506.48 54.96, 522.37 40.21 M494.56 65.59 C502.43 57.02, 506.23 51.63, 520.85 36.03 M496.01 66.41 C504.07 65.33, 509.58 59.49, 518.05 45.42 M497.66 68.19 C505.26 61.47, 510.6 55.87, 517.11 41.13 M505.4 69.18 C512.23 60.15, 513.25 50.72, 517.83 45.81 M503.34 66.64 C508.14 59.7, 511.63 55.06, 517.74 48.24 M509.71 65.07 C510.45 61.33, 512.51 58.9, 516.91 53.62 M509.48 67.53 C510.73 63.49, 513.9 60.52, 519.7 53.9 M513.6 67.59 C517.2 65.84, 519.23 63.73, 517.86 60.14 M513.95 66.17 C515.89 65.93, 516 65.1, 519.61 61.25" stroke="#e03131" stroke-width="0.5" fill="none"></path><path d="M0.93 -1.6 C106.15 2.01, 211.42 3.15, 520.09 -0.9 M0.26 0.13 C145.06 2.23, 290.16 0.72, 519 0.3 M517.87 2.17 C518 26.56, 514.46 51.7, 522.26 69.07 M520.91 -0.16 C517.24 13.64, 515.87 28.47, 518.99 67.97 M520.56 66.12 C334.5 61.52, 152.27 62.97, 0.83 67.28 M518.21 66.52 C387.53 69.23, 257.45 70.23, -0.43 66.89 M-2.18 64.4 C-0.2 40.64, -4.05 24.41, -3.76 0.45 M1.56 65.39 C-0.08 52.75, -0.81 36.71, 0.94 -0.74" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(696.3100128173828 26) rotate(0 148.1899871826172 17.5)"><text x="148.1899871826172" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Generative AI Studio</text></g><g stroke-linecap="round" transform="translate(12 105) rotate(0 72.5 40)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-1.48 4.97 C1.78 5.42, 3.89 0.83, 5.4 1.84 M-0.83 6.66 C1.28 5.44, 3.18 3.08, 5.39 0.96 M-1 12.97 C1.62 6.9, 6.64 6.69, 9.2 -3.21 M-0.36 13.64 C2.94 10.24, 6.83 6.96, 9.19 -0.41 M-0.1 21.89 C0.5 16.84, 6.26 11.08, 15.1 4.21 M-0.85 18.26 C6.05 11.78, 11.53 6.36, 17.59 1.69 M2.62 26.79 C2.69 18.39, 12.52 12.75, 22.95 -3.99 M1.6 22.12 C7.73 13.49, 17.72 7.13, 19.97 0 M-1.92 29.53 C7.89 27.13, 15.16 15.32, 24.59 -2.91 M-1.44 32.02 C9 21.87, 16.93 10.73, 26.35 0.57 M-1.86 38.88 C11.04 24.26, 15.34 21.56, 30.8 -1.63 M-1.93 38.7 C8.5 26.99, 17.13 16.21, 31.48 -0.24 M-3.4 41.79 C12.67 30.73, 22.95 19.8, 36.92 2.66 M-1.14 41.1 C12.61 26.62, 26.78 7.64, 37.54 -0.21 M2.52 46.4 C16.61 25.65, 35 7.78, 39.39 3.48 M0.77 50.3 C11.84 33.5, 25.88 20.71, 43.83 0.34 M-0.01 53.54 C8.06 41, 19.57 29.46, 49.68 -0.24 M1.75 53.81 C16.72 35.59, 35.74 15.37, 45.86 2.21 M2.19 63.46 C20.8 36.56, 42.07 12.79, 54.86 -1.4 M0.97 59.27 C16.37 40.66, 33.44 19.86, 52.96 -1.12 M3.22 71.33 C26.08 37.11, 50.64 17.92, 55.55 -1.92 M-0.23 66.78 C20.81 41.33, 45 14.35, 59.45 0.22 M3.35 70.25 C19.94 48.64, 41.73 22.22, 66.46 -2.11 M0.07 72.78 C13.13 58.54, 29.47 41.16, 62.21 0.06 M2.35 78.28 C26.64 56.23, 47.51 25.83, 66.36 -1.78 M-1.19 77.95 C26.41 46.42, 54.61 15.59, 67.87 -0.18 M1.94 82.85 C20.78 58.22, 46.52 37.32, 70.59 2.37 M3.51 80.53 C22.17 55.81, 45.85 33.32, 74.38 0.14 M6.5 85.62 C22.15 65.5, 44.88 40.35, 81.06 -0.37 M6.15 82.02 C30.93 55.49, 52.38 29.25, 78.15 0.52 M15.65 81.17 C31.88 61.01, 50.43 39.07, 86.75 -0.08 M12.8 82.77 C34.54 58.52, 59.18 33.65, 83.69 -1.07 M19.43 81.78 C42 54.67, 65.74 33.66, 93.72 0.65 M20.01 83.6 C36.6 60.48, 50.82 42.18, 90.73 -0.56 M20.19 83.11 C45.08 60, 67.95 34.4, 93.58 -2.67 M25.77 80.41 C48.73 58.18, 68.55 30.66, 95.82 -0.18 M30.63 79.05 C50.24 55.13, 72.45 36.73, 101.53 -1.52 M28.69 83.84 C48.11 63.2, 60.46 43.88, 99.49 -0.77 M33.6 81.13 C59.11 49.3, 88.07 22.35, 108.84 -3.76 M32.9 83.61 C48.77 64.61, 70.25 41.06, 107.86 -2.25 M39.39 81.58 C67.57 53.84, 88.81 26.4, 112.82 -2.78 M38.53 80.42 C64.55 53.85, 85.66 29.29, 111.75 0.11 M47.01 80.3 C72.63 50.01, 100.82 20.31, 116.75 1.93 M44.07 81.83 C69.02 53.37, 96.14 27.18, 115.7 -0.02 M52.07 80.38 C75.17 56.05, 103.69 20.75, 123.04 -0.19 M51.34 82.6 C79.27 50.5, 107.14 17.44, 120.29 -0.12 M52.71 78.84 C78.37 58.29, 101.64 33.49, 126.63 4.27 M56.64 84.36 C77.6 61.72, 97.5 36.87, 128.63 -0.94 M58.18 85.36 C79.07 60.37, 99.94 37.31, 130.76 0.1 M60.34 83.2 C76.32 66.05, 92.77 49.97, 131.29 1.87 M62.78 81.08 C94.41 53.33, 124.98 16.56, 136.98 -1.69 M66.05 81.31 C81.96 64.56, 100.43 43.03, 137.42 1.39 M70.38 85.29 C85.89 61.19, 100.41 47.02, 145.67 -1.2 M70.2 82.6 C97.06 53.22, 125.38 22.38, 144.4 -0.99 M76.41 82.23 C101.59 51.53, 126.96 25.35, 144.73 -1.31 M77.2 84.34 C93.96 62.88, 108.66 44.87, 147.61 1.65 M84.4 79.81 C102 56.78, 128.27 25.9, 150.04 11.03 M81.03 80.74 C96.25 66.82, 110.35 48.41, 146.12 9.31 M87.93 84.38 C110.04 59.77, 135.11 26.25, 147.39 14.49 M88.4 82.66 C102.37 62.85, 114.41 48.63, 145.61 13.67 M95.14 79.45 C113.3 61.55, 137.09 34.41, 145.78 16.98 M92.35 81.13 C109.1 61.03, 127.8 42.22, 144.93 18.55 M94.77 80.48 C111.86 69.09, 132.75 47.39, 150.66 22.05 M99.41 83.07 C110.35 70.45, 120.2 55.05, 146.35 27.2 M104.61 81.6 C116.85 64.91, 134.81 45.27, 149.21 31.96 M103.17 82.83 C122.69 60.31, 136.24 42.09, 146.03 30.28 M105.53 86.37 C124.62 65.96, 135.42 54.69, 150.18 35.13 M107.44 81.91 C121.9 67.01, 132.08 53.38, 146.98 38.11 M113.95 78.53 C123.22 73.54, 138.82 60.61, 149.88 44.93 M115.88 80.48 C123.04 68.69, 134.98 57.64, 146.16 44.42 M115.88 84.75 C130.35 70.88, 136.92 60.48, 148.05 47.14 M119.11 81.1 C124.19 77.08, 132.59 68.74, 147.46 50.61 M123.4 81.38 C128.07 73.71, 141.11 65.53, 149.11 58.97 M124.35 80.26 C134.52 73.72, 140.58 61.11, 148.12 57.69 M132.66 81.22 C137.34 75.44, 139.52 65.63, 147.46 60.09 M130.51 84.1 C135.67 79.15, 136.43 72.38, 145.14 62.18 M132.67 80.37 C140.36 75.24, 138 77.34, 143.73 68.08 M134.03 83.74 C138.87 79.12, 142.02 76.62, 148.1 68.39 M141.12 81.27 C144.42 78.77, 145.27 77.16, 147.89 73.95 M139.79 83.15 C142.08 79.75, 143.12 79.29, 146.92 75.46" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M-3.72 -2.54 C40.83 4.22, 74.96 2.55, 147.93 1.13 M0.29 -0.61 C38.09 0.37, 73.98 0.75, 146.69 -0.81 M142.78 2.43 C150.12 33.81, 148.78 62.98, 148.15 80.05 M145.96 0.79 C144.1 27.16, 144.78 55.09, 145.77 81.63 M144.68 79.81 C107.89 78.04, 69.7 81.64, -3.97 79.76 M146.78 80.8 C100.84 79.54, 61.44 81.43, 1.58 79.75 M-1.42 76.85 C-0.75 52.74, 3.88 17.55, 3.65 -0.84 M1.61 78.86 C-0.04 56.31, -2.78 35.36, 1.41 0.98" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(25.079998016357422 120) rotate(0 59.42000198364258 25)"><text x="59.42000198364258" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Open Source</text><text x="59.42000198364258" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">models</text></g><g stroke-linecap="round" transform="translate(184 102.5) rotate(0 86 39)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-0.22 6.63 C1.5 4.93, 3.55 2.14, 4.23 0.79 M0.42 7.11 C1.73 4.34, 2.14 3.37, 5.07 0.88 M-0.76 14.32 C6.34 11.02, 7.39 2.03, 11.03 1.55 M-1.46 11.39 C3.02 7.9, 7.33 2.73, 12.03 0.54 M2.63 21.58 C4.29 12.61, 3.73 11.37, 11.7 1.44 M1.81 17.2 C5.88 11.54, 12.27 4.22, 17.43 1.1 M-2.83 27.95 C9.79 16.59, 13.25 4.44, 18.16 2.81 M0.41 22.42 C4.77 15.83, 10.71 11.29, 20.71 1.42 M-3.34 33.62 C6.42 24.45, 11.87 11.28, 30.13 -3.04 M1.54 32.05 C4.76 25.32, 10.33 17.53, 24.81 0.36 M0.02 34.9 C10.7 27.41, 15.73 16.4, 31.57 -0.07 M-1.4 35.21 C9.65 28.25, 15.82 20.47, 33.42 -0.77 M-2.16 46.29 C12.52 27.51, 28.35 13.75, 34.22 -1.74 M-1.54 43.6 C10.67 31.25, 19.59 21.78, 35.69 0.3 M3.18 49.99 C12.37 33.68, 29.29 19.46, 43.64 2.13 M1.12 50.17 C14.85 29.7, 29.18 14.16, 41.13 1.18 M0.93 57.9 C12.17 41.41, 27.23 28.25, 46.68 -1.28 M1.94 56.17 C16.34 35.75, 32.26 13.29, 47.98 1.21 M-0.77 64.86 C7.71 45, 23.51 29.09, 49.51 -2.64 M-0.02 61.6 C14.42 44.02, 29.53 30.94, 54.05 -0.21 M2.92 70.66 C11.87 51.83, 23.81 34.93, 57.1 -1.15 M0.27 68.28 C16.21 47.59, 36.88 25.85, 57.14 -1.18 M-3.76 69.52 C16.03 56.63, 31.96 37.08, 63.21 0.68 M1.41 74.49 C14.59 58.15, 27.8 41.24, 61.91 1 M-1.69 78.87 C20.24 53.74, 37.67 30.55, 69.93 -1.71 M-0.07 76.87 C22.52 53.28, 43.64 27.85, 68.23 0.29 M7.08 78.31 C27.34 54.55, 58.8 21.03, 77.63 -1.69 M7.09 78.46 C22.62 58.13, 41.43 42.36, 74.05 0.2 M15.02 80.43 C28.65 54.33, 54.23 26.96, 80.51 3.8 M9.51 76.75 C36.32 48.79, 59.42 23.99, 79.83 0.23 M20.27 81 C42.36 49.44, 63.11 23.61, 88.55 3.55 M17.07 78.87 C37.84 55.39, 52.92 36.19, 83.34 -1.79 M25.49 81.48 C37.48 65.59, 48.99 42.35, 91.04 -2.73 M22.79 77.32 C46.2 47.83, 73.8 20.16, 88.1 0.69 M27.92 78.26 C48.11 55.86, 71.87 31.73, 94.6 0.86 M25.66 76.29 C45.71 54.18, 63.12 33.4, 94.22 1.3 M30.85 79.96 C47.62 62.81, 58.75 42.88, 102.62 -0.31 M30.98 78.09 C48.5 57.99, 66.43 39.6, 98.78 -0.86 M40.96 81.36 C62.01 59.33, 79.93 34.12, 105.32 1.8 M36.67 78.22 C65.58 48.95, 91.75 20.36, 106.7 1.15 M43.13 76.95 C57.83 62.2, 68.27 40.89, 115.2 -0.79 M44.83 80.02 C64.97 56.35, 84.51 32.01, 111.14 0.5 M47.17 82.42 C64.59 61.15, 87.02 41.96, 116.44 -2.16 M49.46 77.3 C67.06 57.44, 88.5 35.43, 115.69 -0.33 M53.22 76.64 C75.77 49.35, 102.15 16.27, 119.61 -0.91 M54.65 77.48 C73.64 49.1, 97.52 23.64, 122.04 1.12 M55.22 74.95 C77.33 56.7, 89.44 40.82, 128.54 -2.72 M58.97 79.91 C73.38 61.91, 87.29 44.91, 125.63 1.92 M62.91 78.35 C88.8 52.96, 109.09 20.99, 129.57 1.7 M62.32 78.29 C79.21 59.5, 96.54 42.18, 133.89 0.8 M65.33 74.83 C89.15 53.69, 114.36 27.56, 135.12 -2.17 M70.35 79.07 C89.16 59.18, 104.8 38.68, 138.56 0.65 M76.83 76.54 C92.23 58.37, 106.37 46.12, 141.65 0.57 M73.29 79.73 C96.63 50.71, 121.03 24.17, 142.65 -1.23 M76.56 81.09 C103.58 54.61, 122.91 22.71, 149.2 -0.44 M78.35 79.27 C106.43 47.16, 129.49 15.66, 148.74 1.32 M86.5 76.77 C108.29 57.29, 123.51 30.98, 151.33 -3.67 M84.57 76.49 C106.65 55.03, 124.64 34.45, 153.87 1.68 M86.9 75.85 C110.24 50.52, 140.17 25.66, 162.67 -2.35 M91.23 80.43 C116.39 48.85, 143.4 15.78, 157.97 -1.18 M94.32 79.75 C119.14 50.49, 140.01 25.18, 160.92 -3.27 M96.71 76.7 C120.18 51.64, 142.97 26.02, 162.65 -0.34 M101.16 80.37 C121.96 59.96, 139.24 36.72, 170.31 -1.55 M102.85 77.9 C118.2 62.25, 134.25 42.41, 167.64 1.47 M105.57 81.29 C130.2 48.23, 159.44 22.33, 170.32 2.17 M105.84 77.94 C123.25 56.21, 144.38 36.2, 172.33 -0.26 M115.05 75.04 C135.29 55.09, 152.42 26.85, 171.19 10.94 M112.62 78.47 C125.21 66.12, 137.91 50.24, 172.13 6.57 M120.39 80.34 C136.69 63.27, 145.81 41.26, 171.76 11.71 M115.67 79.21 C134.92 55.32, 153.9 33.11, 173.26 11.97 M123.17 79.37 C135.75 64.54, 150.91 47.24, 176.48 20.67 M121.51 80.37 C133.69 64.15, 147.27 48.91, 174.58 18.31 M125.8 78.98 C142.58 66.66, 151.42 46.24, 172.71 28.69 M129.45 76.97 C137.77 68.49, 146.8 55.24, 173.77 26.94 M134.97 79.99 C142.73 61.16, 157.03 46.47, 177.5 30.82 M132.06 77.28 C142.76 68.03, 149.26 56.69, 174.98 32.79 M135.7 74.39 C145.07 65.5, 151.48 57.07, 172.33 39.84 M137.99 77.11 C150.29 67.86, 161.56 53.32, 172.5 39.01 M142.78 78.66 C151.15 62.78, 163.16 50.19, 172.51 44.21 M144.37 78.28 C152.37 69.31, 161.53 55.49, 172.96 44.09 M150.2 75.67 C162.77 67.19, 166.6 58.84, 174.66 49.32 M147.02 79.69 C154.05 73.17, 159.68 66.94, 171.72 52.23 M153.82 76.26 C157.92 70.17, 170.71 60.68, 170.02 59.53 M156.1 79.94 C158.51 75.27, 161.18 70.85, 175.07 56.47 M158.26 76.74 C161.3 72.99, 170.31 67.89, 175.29 59.62 M159.78 79.97 C165.62 71.77, 171.39 65.96, 171.9 61.31 M165.75 80 C167.39 77.59, 172.3 72.09, 174.71 68.47 M165.95 78.31 C167.94 76.94, 169.95 74.65, 173.41 69.12 M171.1 78.27 C170.07 78.53, 170.68 76.33, 174.73 73.74 M169.72 78.27 C170.27 77.82, 172 76.27, 174.25 73.75" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M-3.4 3.89 C70.27 -4.51, 130.92 1.41, 174.04 -0.5 M-0.43 1.18 C50.08 2.39, 103.53 1.62, 170.04 -0.34 M171.34 -1.44 C167.78 32.34, 169.03 56.56, 174.71 76.15 M173.89 0.87 C173.27 21.55, 172.09 47.12, 172.85 77.6 M175.87 78.81 C110.56 78.77, 45.6 85.05, 0.16 79.31 M170.92 78.11 C129.15 75.82, 86.86 76.2, -1.23 79.28 M-0.31 81.36 C1.03 52.66, 2.29 34.77, 1.02 1.42 M-1.41 79.14 C1.54 52.19, 1.54 25.17, -1.04 0.24" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(191.68000030517578 116.5) rotate(0 78.31999969482422 25)"><text x="78.31999969482422" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Task-specific </text><text x="78.31999969482422" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">AutoML &amp; APIs</text></g><g stroke-linecap="round" transform="translate(381 98.5) rotate(0 72.5 40)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-1.38 6.9 C0.88 4.86, 1.33 1.84, 5.73 -0.56 M-0.22 6.99 C1.39 4.8, 2.37 3.29, 5.46 -0.1 M1.37 13.45 C2.22 5.66, 7.37 1.2, 8.33 -2.73 M-0.18 12.97 C2.85 7.86, 8.18 2.81, 9.9 1.29 M-0.29 22.08 C6.36 14.7, 12.26 7.22, 18.32 2.81 M-0.23 18.28 C4.13 13.45, 9.88 3.68, 16.09 0.65 M4.2 23.31 C7.5 13.35, 18.87 9.11, 24.85 3.26 M-1.01 23.03 C8.75 15.51, 14.84 6.91, 21.62 -0.46 M0.16 26.76 C7.32 16.25, 20.01 8.7, 24.22 0.24 M1.93 32.37 C9.34 20.74, 15.55 10, 26.71 1.88 M-2.25 34.12 C11.21 21.49, 24.61 6.16, 29.84 0.94 M0.82 35.27 C10.62 22.73, 22.1 12.85, 30.74 -2.05 M-0.98 45.06 C7.39 33.95, 12.86 24.91, 35.2 2.79 M-0.76 43.44 C11.9 27.44, 27.41 10.25, 36.45 -0.86 M-3.21 46.68 C14.19 32.51, 27.16 22.97, 43.82 -1.36 M-0.25 49.92 C7.81 38.37, 18.41 26.71, 40.79 0.31 M3.87 51.5 C18.77 36.07, 27.25 18.34, 48.78 2.05 M2.16 56.23 C15.01 38.66, 30.36 22.28, 47.32 2.15 M0.68 58.8 C20.51 43.41, 39.99 18.91, 54.72 -3.5 M-0.14 62.7 C10.82 49.15, 22.49 35.06, 53.06 1.56 M-3.49 68.48 C24.75 46.62, 41.69 16.02, 57.35 0.71 M-1.93 67.65 C16.29 44.55, 35.85 22.72, 56.89 2.03 M-3.67 70.68 C24.95 41.77, 50.64 18.51, 65.41 1.78 M1.48 73.98 C13.83 56.73, 31.38 38.52, 62.4 0.03 M-0.42 83.24 C20.33 55.81, 41.43 32.23, 72.19 -3.42 M-2.1 79.81 C12.82 65.27, 26.92 49.33, 70.28 -0.64 M0.13 82.64 C28.28 53.01, 48.09 24.72, 77.57 -3.13 M3.11 82.56 C21.72 58.47, 43.33 34.78, 73.21 1.53 M8.52 83.36 C31.54 53.76, 61.76 18.75, 75.45 -1.37 M8 83.43 C26.95 62.6, 43.92 40.39, 80.19 0.15 M9.97 79.08 C35.77 59.23, 50.4 35.96, 83.8 3.27 M13.44 81.68 C39.72 51.06, 66.01 19.37, 83.47 -0.71 M21.15 85.9 C47.2 47.12, 73.9 14.19, 92.14 2.91 M19.87 83.05 C34.81 62.67, 52.69 44.54, 90.88 -0.15 M21.51 78.62 C41.56 59.93, 63.45 43.4, 99.55 1.61 M23.6 81.09 C43.46 63.74, 59.69 41.13, 96.72 -2.04 M28.81 80 C44.16 63.97, 53.87 54.27, 102.16 0.63 M29.15 83.59 C52.22 54.11, 79.47 22.38, 102.16 -0.66 M32.48 78.72 C52.3 59.05, 74.2 35.83, 107.16 -4.34 M35.5 83.67 C56.52 59.33, 76.95 35.11, 106.06 -2.33 M40.34 82.92 C52.56 63, 67.52 46.72, 112.28 2.11 M39.71 82.41 C61.89 56.33, 81.96 31.59, 109.4 0.95 M45.46 85.69 C60.35 63.52, 81.79 43.97, 119.18 -2.93 M44.59 83.5 C71.32 51.09, 98.69 21.19, 117.49 -1.31 M47.44 79.06 C76.92 51.09, 104.9 26.13, 124.16 -3.2 M48.95 80.31 C72.83 56.98, 95 29.05, 123.57 0.44 M55.95 79.24 C69.88 57.11, 90.25 39.15, 125 -1.69 M55.91 82.33 C68.74 68.77, 84.25 50.91, 128.54 -1.49 M64.71 83.91 C82.43 60.96, 98.57 43.64, 134.3 1.27 M59.84 81.5 C88.91 48.01, 118.02 16.72, 131.15 -1 M62.98 81.44 C86.86 52.69, 115.93 28.7, 134.94 1.3 M66.7 82.62 C79.01 65.1, 95.61 46.4, 136.35 0.29 M73.59 80.12 C96.04 52, 116.82 24.62, 142.12 3.21 M72.92 81.66 C87.75 61.13, 109.88 37.08, 142.21 -0.72 M76.42 85.48 C100.98 53.45, 129.87 24.67, 149.51 -0.21 M77.78 84.24 C96.1 58.01, 118.52 36.67, 146.96 3.4 M78.42 81.44 C93.17 69.05, 105.93 53.52, 143.31 9.01 M82.29 83.9 C99.11 58.03, 118.56 35.71, 147.84 8.88 M85.07 79.68 C105.01 56.01, 129.58 32.62, 145.55 10.23 M85.54 80.53 C108.62 58.17, 129.92 34.55, 145.39 14.18 M90.41 84.77 C113.7 62.63, 126.46 44.16, 144.99 18.33 M91.61 82.75 C115.66 56.42, 135.09 34.59, 147.17 19.07 M96.55 79.5 C112.29 66.22, 125.3 49.33, 147.82 28.57 M97.91 82.25 C109.53 68.97, 120.81 55.91, 147.32 26.81 M103.65 78.1 C122.3 65.13, 129.83 50.26, 144.44 30.21 M102.1 80.19 C114.45 71.74, 121.98 59.36, 146.23 30.74 M105.4 79.5 C115.65 75.67, 124.81 64.86, 146.79 36.43 M110.41 81.59 C116.58 71.68, 128.7 61.19, 148.77 37.44 M111.09 80.57 C123.41 71.33, 136.05 63.41, 143.89 45.61 M112.56 81.65 C122.93 70.87, 135.15 58.54, 148.67 45.05 M117.02 85.39 C125.62 74.54, 128.18 67.55, 147.13 47.32 M118.1 84.18 C126.83 73.33, 138.62 59.74, 146.7 50.44 M128.56 78.45 C127.27 78.78, 132.68 68.53, 149.11 59.84 M123.32 83.97 C134.8 71.95, 141.83 63.79, 146.36 55.81 M131.66 81.98 C135.78 74.93, 140.56 71.82, 146.37 63.64 M131.6 81.11 C133.77 74.66, 141.75 68.82, 145.56 63.33 M138.46 81.2 C141.36 76.63, 142.11 69.05, 145.01 71.07 M136.22 83.3 C138.56 78.56, 141.05 74.29, 146.81 70.09 M138.46 81.78 C143.58 79.38, 142.58 79.15, 146.96 73.96 M140.78 81.61 C142.5 79.84, 142.8 78.82, 146.21 75.07" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M0.2 0.05 C43.7 -0.16, 89.72 0.33, 142.37 3.41 M-0.79 0.23 C56.55 3.26, 113.14 1.67, 145.69 -0.56 M145.56 -2.68 C146.89 31.69, 149.38 61.92, 148.26 76.03 M144.35 -0.12 C145.85 21.44, 142.12 42.03, 145.66 81.38 M142.64 80.31 C86.19 79.6, 38.43 75.4, 1.91 83.87 M145.13 79.72 C112.26 80.99, 76.65 78.58, 1.06 78.45 M-1.57 76.86 C-3.92 51.14, -1.74 19.57, 3.68 0.29 M-0.82 80.98 C0.2 64.12, 0.49 44.49, -0.33 -1.67" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(401.45999908447266 113.5) rotate(0 52.040000915527344 25)"><text x="52.040000915527344" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Foundation</text><text x="52.040000915527344" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">models</text></g><g stroke-linecap="round" transform="translate(584 100) rotate(0 72.5 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-1.37 7.45 C-0.18 3.58, 2.42 4.03, 6.32 0.31 M-0.43 6.1 C1.66 5.35, 3.42 3.54, 5.63 0.33 M0.88 13.62 C2.06 10.01, 8.98 2.2, 13.75 -2.83 M-1.32 11.05 C2.25 9.95, 4.67 6.05, 11.15 0.7 M1.66 18.36 C0.01 12.36, 7.92 12.72, 18.92 -0.84 M-0.65 17.77 C4.59 12.22, 8.04 8.82, 16.54 -1.66 M-1.72 21.34 C4.89 20.43, 10.07 6.3, 17.78 -0.08 M-0.02 24.53 C6.54 15.49, 14.77 7.58, 22.75 0.26 M-3.73 32.89 C9.5 19.04, 18.36 6.22, 26.48 -0.18 M0.58 29.55 C7.49 25.12, 14.07 15.26, 24.47 1.37 M-1.34 37.15 C12.75 21.73, 18.06 12.47, 31.95 -3.91 M1.35 36.15 C9.69 22.3, 23.49 10.93, 32.1 -0.9 M-0.58 43.4 C8.92 33.5, 16.85 25.19, 38.7 -3.09 M0.69 44.36 C12.5 29.97, 23.57 15.05, 35.02 1.27 M0.73 49.15 C12.03 34.17, 19.5 28.93, 45.31 0.12 M1.63 50.83 C11.88 34.15, 23.85 21.82, 43.17 1.62 M-3.13 51.54 C7.97 41.02, 18.54 35.27, 50.41 0.02 M0.78 53.15 C21.16 34.6, 38.83 13.88, 46.25 -0.48 M-3.84 62.17 C14.14 43.98, 24.21 28.95, 53.24 -1.95 M-0.53 61.54 C18.78 38.76, 39.96 14.27, 51.26 -0.44 M-3.15 70.57 C13.17 53.68, 34.32 30.78, 59.56 1.6 M0.73 67.18 C21.36 41.59, 45.84 15.6, 57.69 -0.84 M1.64 65.14 C21.73 43.9, 36.29 31.72, 66.24 2.75 M4.9 68.04 C28.61 40.12, 46.68 15.92, 63.1 0.24 M11.18 70.32 C22.08 51.72, 42.05 32.09, 67.21 1 M12.33 66.92 C30.95 44.51, 49.84 25.21, 70.28 0.79 M15.73 67.9 C34.31 43.89, 52.23 21.04, 77.96 -1.98 M16.1 65.66 C35.08 40.67, 57.02 20.34, 72.85 -1.47 M19.84 65.88 C43.39 42.22, 62.67 19.4, 77.57 -3.58 M19.86 66.84 C41 48.85, 60.62 26.91, 78.4 -1.44 M26.9 69.18 C36.42 51.27, 54.09 35.24, 81.16 2.48 M27.47 65.36 C36.98 55.97, 51.1 40.73, 86.12 0.89 M29.1 70.4 C53.26 41.1, 75.14 18.5, 89.95 0.94 M30.15 68.13 C51.02 46.9, 72.85 20.14, 89.89 0.2 M39.96 68.57 C54.68 48.57, 69.99 23.05, 91.71 -2.33 M36.07 65.62 C54.79 44.15, 74.82 24.9, 95.94 1.32 M44.33 67.91 C59.14 47.51, 77.55 24.16, 98.8 2.52 M41.51 67.55 C56.05 52.21, 69.74 34.47, 101.99 -1.01 M46.86 64.54 C67.83 43.22, 87.54 20.28, 108.63 -0.02 M48.43 66.47 C72.05 44.97, 92.93 16.81, 106.81 1.38 M54.04 69.29 C68.46 50.12, 88.46 33.25, 109.7 4 M51.66 65.41 C72.06 45.44, 91.18 21.81, 109.41 1.79 M58.67 70.4 C71.87 54.95, 85.47 35.67, 113.4 -2.56 M60.48 65.5 C76.12 46.24, 92.08 27.98, 117.98 -1.04 M61.87 64.32 C87.87 40.17, 105.61 14.97, 123.33 -0.91 M61.77 65.59 C79.48 51.46, 91.54 35.44, 120.29 1 M65.59 66.39 C81.68 48.13, 95.51 33.16, 128.58 2.68 M69.61 65.88 C85.65 45.56, 105.02 26.42, 126.11 1.24 M70.59 69.65 C97.99 40.27, 113.79 17.37, 135.54 -3.64 M72.44 67.54 C89.96 48.85, 107.86 28.11, 132.19 -1.4 M76.95 63.57 C99.51 44.66, 115.39 27.4, 133.92 1.48 M78.65 68.33 C99.75 45.32, 119.6 21.15, 137.35 1.24 M82.07 64.79 C106.42 35.86, 132.36 15.61, 145.25 3.29 M83.72 66.26 C107.07 43.52, 126.45 18.22, 144.13 -1.87 M89.18 63.9 C103.96 51.06, 113.48 39.63, 147.6 -0.75 M91.86 67.15 C110.98 43.44, 131.38 17.82, 148.6 0.27 M97.32 64.16 C112.08 48.79, 130.71 25.75, 147.99 9.74 M95.09 68.31 C113.66 47.24, 135.16 24.33, 145.99 8.23 M101.86 68.23 C118.81 48.64, 136.96 27.8, 148.38 11.81 M102.93 66.16 C109.39 56.52, 119.76 43.61, 145.67 14.78 M108.48 69 C114.52 56.18, 126.64 40.39, 142.92 18.67 M105.46 67.84 C115.24 57.89, 123.42 47.47, 145.64 21.29 M109.04 69.01 C127.28 54.35, 140.87 35.03, 147.22 22.24 M110.35 67.56 C121.29 59.28, 128.01 47.72, 146.85 25.13 M114.81 67.48 C132.91 50.9, 144.33 41.29, 143.61 36.12 M117.19 66.52 C124.9 55.61, 135.39 43.98, 147.63 31.51 M117.84 71.32 C132.21 54.62, 140.24 45.28, 144.99 35.07 M119.99 68.79 C126.33 59.29, 135.92 53.66, 148.67 37.85 M130.7 66.61 C136.09 60.26, 141.21 48.14, 144.85 41.81 M128.07 65.62 C133.74 60.09, 138.03 54.57, 148.09 45.42 M128.56 65.38 C135.52 63.88, 136.19 60.86, 149.06 50.45 M133.22 67.14 C136.43 59.46, 141.61 56.38, 146.46 51.74 M137.73 67.88 C139.59 63.34, 143.8 61.78, 145.78 54.4 M138.91 66.23 C140.6 63.61, 144.82 58.69, 145.77 54.97 M143.63 66.14 C143.56 65.42, 144.37 64.9, 145.96 62.26 M142.49 67.71 C144.76 65.63, 145.99 64.44, 146.29 62.8" stroke="#e03131" stroke-width="0.5" fill="none"></path><path d="M3.62 1.55 C46.04 -2.86, 91.23 -2.69, 148.87 2.05 M-1.55 1.44 C46.21 3.8, 95.18 2.42, 143.34 -0.94 M143.9 2.98 C143.91 14.63, 143.79 29.01, 148.14 65.66 M146.94 -1.67 C142.62 25.28, 142.03 50.23, 146.57 65.78 M142.13 67.14 C89.84 67.7, 37.16 68.68, -1.98 68.5 M144.84 67.02 C94.69 66.05, 47.79 66.77, -1.67 68.57 M3.05 65.66 C2.18 43, 2.28 21.38, 3.76 -1.2 M-1.33 66 C-1.21 45.3, -1.96 23.54, 1.08 0.43" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(618.1399993896484 108.5) rotate(0 38.36000061035156 25)"><text x="38.36000061035156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Prompt </text><text x="38.36000061035156" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Design</text></g><g stroke-linecap="round" transform="translate(766 96) rotate(0 72.5 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.37 6.43 C1.18 4.41, 4.3 0.39, 3.82 1.93 M-0.51 7.11 C1.82 5.03, 2.97 3.05, 4.87 0.3 M-2.38 11.34 C6.46 6.76, 8.61 6.35, 13.47 0.09 M0.98 13.17 C1.43 8.39, 5.96 7.59, 11.19 -0.5 M1.57 17.98 C1.95 10.03, 8.55 6.28, 12.28 -1.98 M1.81 19.4 C3.12 11.58, 6.76 7.54, 14.75 0.45 M2.37 20.63 C4.25 18.4, 11.71 6.68, 18.94 1.57 M1.02 24.37 C6.42 19.44, 10.97 12.88, 22.54 -1.34 M3 29.07 C9.65 20.18, 21.45 6.23, 22.29 -2.69 M0.43 28.48 C9.28 19.78, 18.29 10.65, 27.25 1.63 M-0.74 32.9 C6.57 21.87, 22.3 11.78, 32.53 -2.52 M0.24 37.93 C8.01 30.06, 16.07 19.56, 32.03 0.93 M-3.63 44.4 C10.5 31.07, 21 15.89, 39.93 -1.27 M1.59 40.87 C12.72 27.72, 23.37 15.23, 37.74 -0.27 M2.3 45.55 C12.25 37.71, 22.97 22.51, 39.33 0.89 M1 47.33 C11.58 36, 22.46 18.97, 40.58 0.43 M3.57 55.48 C15.62 39.43, 35.37 16.85, 44.15 -2.26 M-0.68 53.55 C8.57 44.88, 18.58 32.14, 47.23 0.29 M3.28 57.29 C17.37 33.68, 40.72 16.42, 54.85 3.7 M0.89 61.62 C13.09 45.46, 25.45 31.27, 52.44 -1 M-3.05 65.47 C14.05 51.66, 23.71 34.1, 57 -3.33 M-1.55 67.85 C10.56 53.32, 24.21 38.04, 58.18 -1.6 M3.03 66.92 C24.59 50.3, 40.71 30.35, 61.73 0.67 M4.86 68.61 C20.49 50.95, 37.51 34.08, 63.27 -1.99 M8.45 66.06 C33.42 40.14, 50.7 19.08, 71.71 -3.28 M11.71 66.33 C29.06 43.72, 48.44 24.61, 70.48 -1.28 M16.23 70.16 C24.51 53.33, 43.06 33.43, 73.71 -2.54 M14.05 67.72 C39.12 41.31, 63.47 14.8, 76.17 -1.6 M22.19 70.21 C37.79 55.37, 52.16 33.47, 76.58 -2.01 M20.29 65.49 C36.59 48.37, 49.21 31.02, 77.43 -0.51 M23.47 67.61 C40.9 49.55, 56.14 34.09, 87.7 2.58 M25.78 65.95 C47.77 43.05, 65.37 21.55, 85.68 0.67 M32.54 64.95 C45.99 53.86, 61.59 34.89, 87.06 -0.57 M31.99 68.61 C52.71 42.57, 76.92 17.36, 89.81 0.48 M37.68 68.74 C58.5 41.37, 73.6 20.67, 91.7 3.42 M36.07 65.83 C53.15 49.05, 69.76 28.13, 93.79 0.91 M41.01 64.19 C59.82 42.01, 80.34 16.93, 97.73 -1.12 M42.04 66.48 C61.09 45.38, 83.74 23.25, 99.81 -0.95 M50.95 65.89 C66.84 39.56, 84.56 17.18, 104.84 -1.73 M46.36 67.48 C65.25 44.2, 85.44 22.52, 105.91 -1.28 M56.25 68.68 C66.63 50.79, 88.14 23.78, 114.28 1.04 M53.1 65.5 C70.67 48.11, 87.24 29.17, 113.08 -1.9 M58.47 66.26 C79 37.92, 103.12 17.95, 112.72 -2.97 M59.54 68.54 C82.57 42.32, 104.32 16.15, 118.24 2.07 M62.01 66.08 C78.12 44.37, 96.65 29.12, 121.54 1.5 M63.28 67.6 C77.56 52.85, 88.82 37.83, 120.67 -1.89 M66.57 67.94 C86 49.7, 101.23 36.56, 126.06 2.19 M67.92 68.25 C86.42 49.37, 104.78 29.79, 128.38 0.19 M73.17 70.9 C92.55 41.69, 116.57 18.05, 131.44 2.72 M74.13 66.29 C87.79 47.82, 104.56 33.55, 131.1 1.12 M76.68 67.89 C89.29 51.94, 105.62 41.13, 136.68 -2.57 M81.28 67.38 C98.21 42.41, 122.31 18.36, 139.41 0.17 M87.75 68.55 C105.45 46.55, 128.41 21.06, 143.08 -1.96 M86.61 66.64 C103.83 41.7, 123.71 20.57, 142.33 -1.28 M93.38 69.93 C105.71 42.54, 132.97 24.05, 142.93 2 M90.81 68.29 C111.39 39.67, 135.95 14.92, 145.18 1.38 M94.88 63.29 C111.06 46.13, 133.21 21.99, 144.07 11.2 M97.15 65.28 C114.91 45.24, 129.15 28.6, 147.17 7.62 M100.37 68.79 C111.66 48.79, 128.96 33.75, 143.69 13.63 M101.14 66.89 C113.65 56.22, 120.9 42.92, 148.42 14.33 M106.82 70.28 C124.97 51.06, 139.97 32.48, 149.72 23.03 M105.61 66.4 C120.73 49.8, 136.59 33.92, 148.42 20.28 M107.82 66.79 C127.33 49.15, 132.74 38.41, 146.03 29.27 M109.7 65.41 C116.86 58.58, 125.41 51.77, 148.37 25.46 M118.95 67.52 C121.38 58.04, 125.31 50.93, 149.71 33.45 M115.27 65.76 C127.47 54.88, 138.59 40.35, 145.59 30.95 M122.99 70.89 C123.83 64.03, 131.64 54.33, 146.95 35.3 M121.3 65.37 C130.77 56.08, 139.55 45.56, 146.49 39.33 M125.79 67.93 C138.15 58.44, 143.65 52.3, 146.97 48.04 M128.86 66.66 C133.09 57.41, 141.01 51.68, 145.71 46.24 M130.28 65.17 C138.93 59.33, 145.27 59.07, 149.93 53.77 M132.24 68.13 C135.7 63.01, 140.52 57.72, 147.06 48.82 M137.26 64.36 C139.27 67.17, 141.92 60.08, 147.87 55.07 M136.97 67.67 C142.91 62.52, 144.58 59.88, 146.29 57.19 M142.62 66.24 C143.85 64.54, 145.2 62.64, 145.87 61.71 M143.52 67.44 C144.91 65.07, 145.63 63.95, 147.12 63.16" stroke="#e03131" stroke-width="0.5" fill="none"></path><path d="M-0.18 3.46 C47.12 2.19, 87.72 -1.31, 146.12 3.51 M-0.39 0.26 C58.02 3.17, 112.93 -0.26, 145.29 -1.7 M142.5 3.69 C146.85 14.83, 147.49 26.26, 142.68 68.02 M145.81 1 C144.75 14.68, 145.23 32.09, 145.98 65.08 M142.23 67.48 C97.19 64.87, 51.56 66.36, 3.84 65.93 M146.71 65.21 C95.38 67.84, 48.71 66.12, 0.41 65.55 M3.02 65.42 C2.43 42.93, 3.94 13.26, 0.62 1.96 M1.58 65.55 C0.3 46.48, 0.47 28.22, 0.54 -1.88" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(800.1399993896484 104.5) rotate(0 38.36000061035156 25)"><text x="38.36000061035156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Prompt </text><text x="38.36000061035156" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Tuning</text></g><g stroke-linecap="round" transform="translate(956 92) rotate(0 72.5 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.68 7.15 C1.5 5.33, 2.25 3.53, 5.53 -0.48 M-0.09 6.75 C1.42 3.35, 3.12 2.22, 4.47 1.01 M0.31 11.79 C5.94 9.78, 9.26 5.66, 11.64 1.5 M-0.67 12.34 C3.62 9.03, 5.45 4.31, 9.9 -0.92 M3.14 19.8 C4.66 12.78, 11.97 7.31, 12.95 3.13 M1.11 16.93 C3.29 16.38, 5.42 11.46, 16.51 1.31 M-1.85 24.79 C8.14 16.53, 15.26 3.52, 22.52 -1.84 M0.43 25.43 C6.76 13.54, 16.33 6.06, 22.96 1.82 M3.46 29.2 C6.9 15.73, 20.31 10.96, 25.18 0.09 M2 31.23 C10.18 17.46, 18.7 5.82, 25.89 0.24 M3.29 33.19 C9.26 27.6, 16.48 22.42, 33.56 1.7 M-1.73 36.75 C14.53 24.07, 26.9 7.81, 33.74 -0.67 M-2.69 45.62 C10.09 25.95, 23.47 10, 38.37 -1.78 M-0.31 41.36 C7.46 31.97, 15.67 21.26, 37.66 0.5 M1.92 47.02 C11 38.17, 16.11 26.17, 40.9 -1.97 M1.05 49.33 C11.12 35.72, 20.87 24.05, 41.12 -0.64 M2.08 57.08 C14.79 39.06, 21.63 27.75, 50.98 -2.53 M-1.52 54.09 C12.39 41.64, 22.69 26.91, 47.08 1.39 M-2.67 61.47 C22.34 42.17, 36.71 13.19, 55.54 -0.46 M0.6 61.97 C13.3 42.92, 30.31 26.22, 51.58 1.51 M1.61 71.25 C10.96 57.45, 20.02 38.12, 56.57 -3.32 M1.44 68.49 C16.89 43.21, 36.17 21.67, 58.85 -0.25 M1.83 63.86 C18.52 44.74, 36.17 28.16, 63.62 -2.5 M4.12 68.23 C16.76 53.27, 32.31 37.6, 63.01 0.88 M7.35 68.29 C23.36 50.35, 42.88 28.94, 67.84 1.56 M11.54 68.84 C29.3 43.96, 48.48 25.06, 67.11 2 M17.63 70.39 C33.65 45.9, 52.99 26.58, 74.41 2.07 M15.01 65.27 C33.54 43.71, 53.46 24.38, 72.79 0.18 M22.91 65.7 C32.77 48.21, 52.09 37.88, 76.61 0.69 M20.23 65.43 C36.14 48.89, 52.81 33.14, 79.43 0.1 M28.8 70.17 C47.72 46.47, 58.83 30.42, 88.27 2.26 M24.84 65.85 C47.37 40.87, 70.19 16.53, 85.71 1.66 M30.18 70.98 C40.92 51.69, 55.3 38.04, 93.82 -2.46 M33.57 67.26 C52.47 43.92, 76.47 16.18, 88.81 -0.4 M35.78 69.18 C54.36 49.15, 70.8 28.74, 96.74 -2.04 M35.87 66.26 C56.75 45.71, 70.62 28.89, 93.99 -0.87 M42.15 70.54 C58.51 46.83, 85.32 19.09, 101.56 2.42 M41.02 66.9 C58.86 50.05, 73.99 31.32, 101.71 -0.41 M50.16 64.24 C68 44.36, 77.47 25.61, 106.43 -0.04 M47.79 68.34 C62.9 49.94, 75.86 34.43, 105.29 -2.01 M54.97 69.65 C67.47 54.34, 79.34 36.82, 109.02 0.57 M51.51 68.47 C65.73 48.7, 85.17 29.79, 110.01 0.73 M54.61 67.06 C77.68 45.2, 95.88 24.51, 114.45 -1.35 M57.74 67.51 C71.6 52.49, 82.34 39.64, 118.08 -0.08 M63.9 68.45 C86.71 46.9, 106.47 20.46, 120.52 0.05 M65.38 67.67 C86.1 42.23, 105.78 18.16, 123.04 1.25 M66.98 64.23 C94.71 39.47, 112.23 16.88, 127.01 1.05 M68.3 68.74 C90.66 41.13, 111.36 20.23, 128.2 -0.09 M71.32 69.97 C91.04 42.74, 109.51 27.11, 135.51 -0.17 M74.44 67.75 C91.12 46.92, 110.76 29.8, 131.56 0.93 M76.21 65.2 C105.44 39.76, 126.01 14.73, 139.45 3.29 M79.47 66.57 C95.83 47.23, 111.65 28.68, 136.98 -1.19 M86.74 64.11 C101.93 48.5, 121.14 29.14, 140.56 -2.26 M85.91 67.53 C103.48 46.52, 122.37 24.71, 143.77 1.13 M90.36 70.31 C108.05 51.78, 122.31 32.01, 145.6 5.18 M88.71 65.09 C103.01 50.83, 117.11 35.22, 148.52 1.73 M94.8 67.62 C111.41 56.1, 119.93 36.02, 150.81 6.04 M94.45 65.4 C112.83 47.45, 132.83 26.6, 146.73 8.29 M104.63 62.77 C113.99 52.55, 120.16 39.94, 147.83 16.9 M102.9 65.97 C115.7 49.7, 129.41 33.11, 147.8 12.93 M103.25 68.17 C114.77 52.08, 132.72 44.28, 145.04 18.04 M106.18 67.29 C118.02 54.16, 129 43.24, 145.49 20.63 M108.7 65.41 C127.56 49.76, 142.28 37.79, 148.74 23.92 M109.71 69.18 C121.75 58.25, 131.02 47.06, 148.3 24.6 M118.98 64.27 C128.32 57.71, 130.57 44.44, 148.46 30.18 M118.63 66.7 C124.34 58.12, 133.03 49.76, 145.82 34.15 M121.32 65.7 C131.02 57.68, 135.57 57.06, 148.81 41.13 M120.2 66.01 C127.54 57.86, 134.49 52.76, 145.75 39.06 M124 65.32 C135.29 59.34, 145.66 48.45, 143.48 44.53 M128.78 68.71 C130.12 62.06, 137.69 58.05, 145 45.21 M130.4 68.2 C138.93 65.71, 142.8 59.45, 147.04 47.05 M132.93 67.55 C136.6 59.99, 142.28 53.77, 146.66 50.94 M139 67.38 C142.06 63.77, 142.64 61.15, 147.94 54.22 M137.32 66.23 C141.3 64.63, 144.43 61.12, 146.63 55.37 M143.14 67.38 C143.69 65.12, 146.48 63.3, 145.85 62.17 M143.41 66.8 C143.8 66.5, 145.2 64.39, 146.89 63.17" stroke="#e03131" stroke-width="0.5" fill="none"></path><path d="M-2.05 -0.55 C55.37 1.73, 106.14 -1.17, 144.76 -3.51 M1.48 1.45 C35.09 -1.29, 69.06 -0.71, 146.69 -1.56 M145.89 -1.67 C144.73 15.59, 145.3 29.97, 141.7 69.35 M145.42 0.66 C143.24 21.31, 146.98 45.12, 144.94 65.7 M146.27 68.46 C105.82 68.58, 66.73 70.16, -1.42 66.38 M144.13 67.99 C114.2 71.35, 80.84 68.31, -0.47 65.26 M-2.45 69 C1.75 44.77, -2.11 18.32, 2.85 -1.15 M-1.85 67.3 C-1.17 42.38, -1 20.65, 0.71 1.74" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(975.1699981689453 113) rotate(0 53.33000183105469 12.5)"><text x="53.33000183105469" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Fine Tuning</text></g><g stroke-linecap="round" transform="translate(12 249) rotate(0 539.5 24)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-1.57 7.22 C0.69 5.02, 3.13 1.17, 4.84 -0.29 M0.07 6.87 C1.31 5.25, 2.07 3.51, 4.64 -0.2 M-1.14 13.49 C5.1 10.54, 5.16 2.37, 12.66 2.74 M1.33 10.61 C2.3 9.22, 6.28 5.15, 10.97 -0.37 M-0.85 15.75 C5.79 14.35, 14.34 2.75, 12.46 2.72 M-1.94 19.03 C5.47 10.94, 8.72 6.43, 17.23 -1.25 M-0.11 25.94 C12.69 14.62, 20.38 2.65, 18.97 -1.64 M1.3 25.77 C5.71 17.54, 7.63 12.46, 20.44 0.65 M1.9 26.92 C4.42 19.06, 10.89 12.9, 23.46 0.13 M0.38 29.21 C8.12 21.8, 14.56 17.16, 26.71 -0.48 M3.24 33.85 C12.42 21.44, 24.13 12.88, 29 -1.04 M0.12 38.04 C11.87 24.17, 19.64 12.13, 33.16 -1.76 M-2.37 44.13 C17.86 25.44, 28.38 9.67, 38.46 0.25 M0.84 41.51 C11.54 27.1, 24.35 13.8, 36.39 -1.36 M-2.09 50.07 C13 30.18, 24.31 20.02, 44.51 -2.93 M-1.37 47.39 C12.18 32.05, 25.77 17.85, 43.35 -0.11 M3.35 50.67 C21.47 38.12, 29.06 17.94, 49.15 3.46 M5.57 46.71 C18.99 29.62, 34.56 12.93, 47.69 0.89 M10.62 46.67 C32.29 25.43, 44.44 7.67, 53.65 3.62 M9.54 50.06 C20.28 35.32, 31.69 25.5, 52.69 -1.39 M17.7 46.99 C29.95 33.73, 42.78 18.74, 62.12 1.25 M15.02 47.07 C26.35 38.07, 35.96 22.11, 59.59 -1.5 M24.62 47.98 C36.06 31.21, 48.1 24.45, 63.45 0.7 M20.72 46.85 C36.93 31.89, 52.15 14.36, 62.45 0.85 M28.97 50.7 C35.94 38.49, 47.65 17.78, 66.84 0.28 M27.94 48.33 C41.84 35.01, 52.82 19.41, 68.61 -0.85 M31.88 50.14 C44.59 38.68, 54.17 26.22, 75.8 -2.51 M31.47 46.67 C47.12 30.13, 58.46 18.34, 73.45 -1.51 M33.54 44.49 C51.79 33.92, 62.73 18.68, 75.63 -1.7 M35.91 47.62 C49.67 36.4, 59.31 21.92, 80.85 1.93 M39.22 48.4 C55.27 36.16, 69.35 20.71, 87.47 -1.67 M42.62 49.88 C55.53 34.37, 67.63 17.63, 86.05 0.85 M46.7 46.2 C59.89 33.69, 75.98 11.07, 91.71 0.19 M46.04 47.51 C62.65 33.35, 72.04 17.13, 91.99 1.38 M52.35 45.15 C68.06 33.2, 73.56 19.59, 98.1 2.65 M52.6 48.27 C66.92 33.4, 77.17 21.97, 96.21 -1.3 M62.58 44.75 C70.97 34.36, 87.01 15.74, 101.16 1.96 M57.04 48.02 C74.41 30.21, 88.65 11.61, 99.24 -0.51 M67.2 50.66 C70.24 37.13, 85.68 27.55, 110.23 -2.96 M64.71 49.83 C74.4 37.11, 85.92 25.31, 107.43 0.24 M70.21 48.24 C88.28 32.69, 103.2 13.85, 112.94 -1.24 M71.16 46.6 C84.64 29.84, 101.85 12.96, 109.38 1.68 M72.55 48.06 C87.99 37.88, 102.4 19.96, 112.59 3.94 M73.81 47.71 C83.23 34.83, 97.45 23.52, 118.12 -0.14 M77.48 51.85 C91.14 33.96, 106.9 13.02, 118.88 0.83 M78.21 50.12 C94.76 29.62, 111.11 9.82, 122.77 0.79 M86.07 45.84 C96.98 33.48, 105.02 27.64, 130.76 -1.34 M86.34 48.77 C95.87 38.12, 105.9 26.58, 128.22 -0.89 M87.17 45.91 C101.32 35.66, 114.18 21.27, 133.69 1.56 M91.57 46.92 C103.41 37.82, 113.76 25.95, 133.32 1.13 M92.96 50.91 C102.82 39.78, 116.13 21.62, 135.23 1.91 M94.97 50.56 C105.92 36.11, 117.13 24.52, 139.27 -0.73 M104.92 47.86 C116.79 32.46, 132.62 12.04, 146.96 1.47 M100.2 46.75 C116.09 28.9, 131.74 10.45, 144.5 -1.59 M109.32 45.27 C118.63 31.31, 137.01 16.55, 148.03 -3.24 M105.9 50.05 C121.58 32.62, 132.62 21.16, 149.03 -1.72 M115.25 46.28 C127.52 33.91, 144.24 17.21, 155.15 0.19 M112.58 48.81 C119.96 37.17, 127.76 27.13, 153.35 -0.19 M118.1 50.05 C129.84 34.13, 143.56 14.93, 162.06 1.4 M114.94 47.66 C125.42 38.62, 136.56 28.58, 158.8 -0.47 M121.57 48.87 C132.07 35.43, 139.36 29.08, 161.58 -3.53 M120.8 49.74 C131.88 35.15, 145.18 24.24, 162.46 -0.07 M125.14 45.52 C146.42 28.17, 156.49 13.26, 173.07 -2.83 M127.43 47.24 C143.63 28.03, 158.84 12.11, 169.48 -0.16 M130.13 50.44 C147.86 30.95, 166.82 13.02, 176.46 -3.79 M132.47 47.62 C145.16 33.57, 159.24 17.43, 176 0.81 M135.14 51.05 C154.81 30.55, 167.26 13.57, 179.73 0.5 M138.27 48.09 C151.54 33.88, 165.69 18.24, 181.5 1.48 M142.09 48.94 C156.84 35.93, 165.3 28.47, 184.89 -3.6 M142.8 49.94 C152.77 38.34, 161.89 27.99, 187.68 -0.06 M151.7 45.17 C161.02 29.92, 182.38 8.82, 191.55 -1.03 M147.96 48.94 C166.61 28.77, 179.89 13.72, 190.86 0.14 M153.47 45.45 C163.35 32.4, 177.13 21.37, 194.82 1.2 M154.53 49.67 C166.26 33.9, 181.44 19.01, 196.81 -1.78 M161.26 45.5 C176.19 28.13, 192.59 10.24, 204.92 -0.72 M158.51 47.95 C169.75 35.83, 179.29 24.18, 201.15 0.95 M163.17 44.17 C172.54 39.55, 179.13 29.67, 205.09 -2.15 M165.98 49.18 C173.33 37.24, 185.81 27.28, 208.22 0.02 M173.16 44.8 C181.02 28.9, 201.24 11.99, 211.13 3.24 M169.53 46.73 C185.93 33.75, 200.21 15.53, 211.47 -1.5 M172.96 44.41 C190.87 30.45, 205.51 10.12, 221.4 -3.26 M175.05 48.3 C193.3 29.86, 209.12 9.99, 216.33 1.13 M179.61 50.96 C193.05 36.5, 203.61 21.8, 220.31 -0.19 M182.18 50.31 C193.39 30.68, 211.48 13.12, 224.54 0.78 M186.82 49.37 C195.05 36.9, 210.62 24.87, 224.33 -0.62 M186.5 49.04 C202.67 28.94, 217.97 10.53, 229.1 0.77 M187.7 46.99 C197.79 36.01, 206.47 23.66, 229.49 -2.94 M191.18 47.19 C201.49 36.36, 214.64 19.96, 234.6 1.26 M197.6 47.13 C205.22 38.16, 216.36 21.9, 240.7 -0.84 M194.66 48.6 C205.57 35.05, 215.37 24.11, 239.43 -1.64 M203.39 47.02 C207.33 38.76, 221.8 26.5, 246.56 -1.82 M200.82 49.28 C214.71 33.72, 227.59 17.93, 243.47 -1.2 M207.02 47.13 C219.67 37.34, 229.98 17.05, 250.14 2.34 M207.43 47.86 C215.83 38.55, 225 26.75, 247.72 -1.49 M215.5 48.32 C219.64 32.26, 234.97 18.81, 258.3 1.5 M212.95 47.92 C225.8 29.53, 240.91 13.75, 252.53 1.75 M220.37 45.19 C233.34 34.84, 245.9 16.51, 261.21 0.54 M216.96 48.4 C230.11 34.34, 240.55 22.14, 257.97 -0.49 M219.75 47.26 C235.26 34.88, 252.57 18.68, 262.35 0.47 M222.99 49.92 C237.96 28.1, 256.45 11.09, 266.72 -0.14 M229.79 48.26 C243.48 32.72, 252.36 20.1, 274 -0.22 M226.93 49.22 C240.47 34.93, 251.97 23.37, 268.41 -1.66 M234.72 47.36 C248.62 26.85, 270.61 9.45, 275.24 -0.35 M231.89 49.5 C245.12 35.96, 255.61 23.14, 274.55 0.32 M238.3 50.42 C249.66 38.23, 262.75 26.75, 279.46 -2.8 M240.59 46.78 C249.39 35.35, 265.1 19, 278.83 -0.59 M245.87 51.25 C260.84 35.28, 270.44 20.06, 284.35 -1.25 M246.2 48.33 C258.54 34.49, 266.74 18.02, 288.08 -0.22 M251.8 48.86 C260.05 30.16, 274.77 13.51, 291.42 -2.94 M248.76 46.97 C262.52 30.81, 277.52 13.92, 290.57 -1.42 M253.53 44.7 C265.15 31.47, 277.4 17.38, 295.97 0.58 M254.02 47.51 C265.34 34.59, 278.07 20.02, 298.95 0.3 M263.06 51.91 C280.6 32.5, 290.38 6.13, 298.6 2.73 M261.83 49.1 C271.12 37.76, 285.06 22.45, 302.55 -0.85 M264.92 44.58 C283.51 31.92, 292.26 12.17, 311.23 3.1 M265.01 47.59 C275.49 37.38, 285.88 25.38, 306.34 1.4 M267.72 47 C277.34 34.41, 286.51 29.48, 312.58 0.73 M269.74 49.93 C286.96 32.47, 301.88 13.94, 311.24 -0.17 M278.12 50.9 C288.83 35.99, 293.4 28.79, 318.16 -0.63 M274.4 48.54 C290.22 30.82, 306.96 10.84, 317.02 0.03 M280.31 48.72 C289.73 37.95, 297.98 28.51, 319.81 0.7 M281.98 47.67 C292.02 35.1, 303.77 22.83, 322.67 -1.19 M290.08 46.81 C296.45 33.57, 305.92 26.22, 331.66 1.59 M286.96 49.79 C295.9 39.08, 306.84 25.72, 329.29 -1.44 M294.23 50.76 C304.68 33.04, 313.14 21.29, 337.64 3.39 M291.63 49.95 C307.66 30.35, 324.49 11.92, 332.45 1.67 M295.98 47.31 C309.62 31.62, 321.31 20.6, 337.5 1.09 M296.39 46.93 C311.16 33.39, 322.33 17.22, 341.05 0.83 M305.74 49.94 C313.03 35.43, 323.18 21.58, 342.27 0.69 M303.32 49.84 C315.13 33.07, 328.73 17.06, 345.73 1.47 M307.85 48.29 C315.62 39.28, 324.96 29.99, 347.66 1.07 M307.92 48.76 C322.83 30.17, 336.86 12.66, 349.07 0.85 M313.99 46.21 C324.88 29.11, 338.6 16.28, 356.79 -0.4 M313.24 49.86 C322.47 36.72, 334.23 26.21, 353.24 -1.31 M318.61 47 C337.83 28.43, 352.28 16.12, 362.99 -2.41 M318.35 49.76 C327.9 36.9, 334.44 26.69, 359.67 -0.19 M321 50.64 C335.52 32.24, 353.21 15.69, 363.15 -1.73 M325.15 49.94 C331.4 36.21, 340.94 25, 367.26 1.24 M328.73 47.08 C342.72 35.66, 350.01 27.73, 369.21 0.1 M330.74 47.1 C345.01 34.47, 357.95 18.72, 368.76 -1.4 M331.68 45.43 C339.24 40.87, 351.44 30.54, 374.18 1.95 M334.36 47.49 C346.75 36.72, 356.63 21.49, 377.65 0.47 M337.53 51.29 C348.21 36.49, 361.64 25.08, 379.61 -3.58 M337.68 49.37 C354.16 30.67, 367.05 16.81, 380.48 -1.22 M345.78 47.9 C353.01 33.55, 372.13 20.67, 385.61 -0.97 M343.74 49.32 C359.41 32.89, 376.07 15.75, 387.81 -0.82 M351.23 45.51 C360.15 36.04, 372.48 24, 394.33 1.51 M349.32 48.63 C364.93 31.54, 380.99 13.66, 390.52 -0.61 M357.96 46.51 C371.01 31.04, 381.41 17.28, 400.01 1.02 M355.76 47.68 C371.56 28.61, 390 9.28, 398.72 -0.4 M358.9 46.76 C366.21 39.58, 377.11 27.88, 400.4 1.43 M361.39 48.35 C368.84 38.97, 380.97 24.48, 402.12 0.85 M365.75 48.81 C378 35.32, 383.27 25.06, 410.83 2.55 M364.4 48.29 C381.18 31.96, 393.94 14.3, 408.91 -0.61 M372.51 47.17 C383.55 36.58, 395.1 19.73, 411.7 1.38 M371.18 47.44 C383.11 34.38, 391.96 22.38, 414.12 1.06 M377.52 49.51 C389.85 30.88, 404.83 20.09, 418.42 -2.62 M375.24 46.28 C391.91 35.86, 402.11 18.4, 418.49 -0.34 M378.9 45.99 C389.83 34.71, 400.81 25.11, 421 1.69 M381.54 48.27 C394.9 33.73, 408.82 17.73, 424.88 -0.66 M388.57 46.44 C401.82 33.08, 418.78 14.54, 429.99 2.39 M389.41 46.21 C401.52 35.11, 411.87 17.58, 429.11 0.95 M395.76 49.63 C407.06 25.86, 425.23 13.91, 431.97 -2.21 M392.88 48.62 C405.85 31.82, 417.76 19.06, 436.35 0.45 M397.03 48.53 C409.42 36.78, 421.29 24.31, 443.61 1.61 M399.59 46.1 C412.89 30.38, 430.31 9.89, 440 -0.76 M399.7 47.57 C415.03 34.42, 426.6 24.17, 443.11 -3.73 M403.17 49.73 C414.62 35.34, 427.2 20.5, 446.04 -1.41 M411.92 51.86 C423.53 32.44, 439.96 9.8, 448.24 2.15 M410.05 49.4 C422.39 29.88, 438.63 13.11, 451.94 -2.05 M414.15 44.46 C422.69 33.67, 437.39 23.61, 455.82 -1.18 M411.94 48.26 C422.5 37.17, 433.01 25.74, 455.01 1.39 M420.49 48.38 C433.39 25.79, 454.73 9.25, 463.73 2.29 M419.95 49.75 C429.7 35.89, 438.49 25.46, 463.28 -0.07 M421.46 52.06 C439.05 29.41, 452.04 14.51, 466.39 2.26 M424.3 48.31 C441.74 33.05, 455.26 15.01, 467.89 1.93 M430.82 46.91 C436.11 39.34, 444.04 29.42, 468.12 0.15 M429.97 47.96 C440.52 34.38, 454.85 20.71, 473.29 0.23 M434.84 49.26 C444.34 30.96, 463.28 15.69, 473.94 -1.45 M434.91 49.43 C442.15 37.24, 451.18 27.41, 476.88 -1.28 M443.89 45.65 C449.57 42, 456.73 26.63, 480.31 -1.25 M438.41 48.55 C453.54 32.69, 465.89 18.2, 480.73 -0.93 M442.37 46.05 C462.76 28.87, 479.68 12.98, 488.5 -1.26 M443.98 46.6 C461.83 31.58, 477.12 12.68, 485.73 -0.29 M448.24 45.16 C462.43 32.27, 477.48 17.15, 492.1 2.47 M451.76 48.71 C457.83 38.31, 469.05 30.91, 492 -1.64 M455.01 51.58 C469.06 29.84, 486.65 16.71, 498.98 1.04 M457.32 46.23 C467.76 33.05, 481.13 23.35, 497.76 -1.72 M459.26 49.15 C471.7 31.2, 482.44 25.41, 502.83 -1.94 M460.1 47.09 C477.14 31.43, 494.4 11.61, 503.69 -1.28 M466.6 50.11 C480.03 33.16, 499.53 15.55, 505.13 -1.22 M466.26 46.18 C478.99 35.84, 485.71 21.88, 507.84 1.26 M471.21 48.44 C481.75 37.76, 495.22 18.67, 510.7 3.42 M473.06 47.75 C485.07 32.77, 496.89 20.39, 513.96 0.19 M477.83 49.03 C491.26 30.26, 507.13 13.02, 517.62 -3.61 M475.72 47.74 C490.8 31.06, 506.08 16.67, 518.42 0.9 M481.25 44.98 C496.39 30.42, 513.34 19.2, 520.8 3.56 M483.82 48.21 C496.64 28.58, 515.49 10.77, 526.54 -1.75 M488.31 46.83 C503.48 35.49, 514.48 16.6, 533.95 1.46 M488.16 47.64 C500.69 30.93, 516.03 18.26, 531.51 -1.09 M489.4 51.83 C508.03 32.84, 522.21 14.73, 537.09 -1.4 M493.15 47.41 C509.35 30.31, 527.49 8.99, 534.72 -0.19 M496.48 49.16 C515.2 31.33, 527.88 13.34, 538.53 0.67 M499.64 46.05 C511.06 34.93, 519.52 26.13, 540.67 -1.58 M506.55 45.2 C515.41 30.56, 536.83 11.08, 546.4 3.82 M505.35 49.74 C514.62 35.94, 529.1 22.32, 545.33 -0.78 M507.67 44.78 C521.68 34.53, 537.05 15.24, 550.62 -0.14 M507.74 46.57 C519.47 35.72, 532.85 22.63, 551.03 0 M514.47 44.41 C526.87 33.64, 532.31 26.13, 558.44 1.58 M516.32 49.02 C524.06 36.28, 534.14 27.77, 554.8 -1.71 M518.11 45.56 C531.95 36.33, 540.98 28.19, 560.38 -0.04 M519.62 48.25 C529.64 33.15, 542.93 22.37, 563.28 1.67 M521.82 47.91 C540.59 34.7, 554.07 15.58, 565.8 -2.58 M525.49 48.52 C534.53 37.08, 546.32 25.45, 565.09 -1.77 M530.22 47.29 C539.54 41.77, 550.37 28.77, 568.83 -2.95 M531.36 50.31 C541.2 37.87, 549.51 25.89, 573.68 -1.13 M532.11 49.26 C551.45 33.18, 569.91 12.8, 575.93 3.94 M535.87 48.93 C546.58 32.89, 557.64 20.46, 575.74 -0.28 M539.26 50.57 C548.86 33.79, 565.29 25.22, 579.2 -0.91 M542.55 49.16 C558.79 29.82, 574.42 11.75, 581.4 1.25 M543.74 45.16 C561.01 32.07, 577.99 13.3, 587.16 0.93 M546.02 48.38 C558.25 32.14, 570.6 18.32, 587.86 -1.14 M553.42 49.43 C566.22 27.52, 583.69 13.98, 591.57 -1.12 M552.38 46.92 C565.31 29.32, 582.24 14.25, 595.11 1.61 M557.98 51.45 C569.68 31.57, 574.59 26, 596.72 -0.74 M558.08 46.46 C575.54 29.16, 588.7 8.97, 600.1 -0.8 M564.4 52.25 C577.01 35.16, 584.69 19.96, 606.95 2.63 M562.28 48.38 C575 35.54, 585.89 23.2, 605.12 0.47 M570.97 47.05 C575.88 33.75, 593.3 21.93, 608.68 0.94 M565.73 48.17 C579.48 35.07, 590.69 20.98, 608.68 -0.3 M570.79 50.54 C587.18 31.95, 604.38 15, 613.85 2.9 M571.2 49.77 C585.34 37.01, 594.94 23.35, 613.91 -0.96 M581.75 46.06 C589.85 37.84, 606.02 20.84, 617.99 -0.89 M578.24 47.96 C595.98 28.61, 610.38 12.11, 619.4 -1.2 M586.05 50.93 C598.6 30.64, 612.69 10.54, 627.67 3.41 M583.68 46.74 C594.09 37.09, 607.63 23.26, 623.57 -0.06 M592.2 49.65 C606.75 30.64, 617.21 20.58, 634.5 2.03 M588.42 49.71 C605.32 32.65, 619.43 13.4, 631.59 -1.66 M590.51 51.19 C601.02 36.2, 610.87 29.59, 634.67 2.96 M593.83 50.42 C605.46 32.7, 617.48 20.42, 635.72 -0.75 M599.1 46.17 C617.69 34.45, 626.21 16.42, 642.91 1.08 M600.64 46.75 C614.21 28.61, 629.7 13.67, 642.18 -0.39 M603.38 48.19 C620.3 29.82, 632.56 15.45, 648.01 3.51 M605.3 47.33 C618.81 28.62, 638.36 9.91, 647.55 -1.52 M610.09 51.04 C615.81 38.46, 633.23 28.39, 650.81 2.77 M610.86 49.84 C620.37 39.14, 632.3 24.78, 653.63 -0.65 M618.75 45.96 C625.82 31.85, 640.06 19.99, 659.71 2.12 M615.33 47.46 C629.06 36.47, 639.76 20.26, 655.82 0.58 M619.69 50.85 C629.47 32.06, 649.81 17.65, 664.66 -3.26 M622.57 47.18 C630.29 36.37, 640.92 23.32, 661.99 1.72 M629.57 47.62 C637.58 36.84, 642.9 27.64, 664.66 -1 M626.69 48.23 C633.28 35.76, 643.29 26.34, 668.85 1.94 M633.31 51.3 C648.26 27.49, 662.79 13.38, 673.78 -4.26 M630.85 48.41 C647.29 29.67, 662.31 12.94, 672.84 -1.67 M635.67 47.43 C644.7 35.22, 654.45 25.46, 676.64 -2.53 M635.73 46.49 C652.77 28.21, 671.65 8.54, 678.51 0.37 M643.21 45.2 C660.34 30.84, 672.86 14.85, 682.4 -4.34 M642.32 48.59 C651.79 35.92, 664.51 22.66, 685.36 0.22 M643.78 46.78 C657.15 38.64, 664 26.76, 688.28 3.98 M648.37 46.53 C656.2 34.69, 666.1 24.44, 688.25 -0.86 M651.88 45.26 C668.13 29.93, 678.88 17.39, 693.58 -0.48 M650.53 48.99 C662.61 36.43, 668.37 27.32, 696.26 -2.14 M659.46 46.18 C666.57 33.22, 677.6 24.41, 703.12 -3.91 M656.07 48.09 C670.86 31.67, 685.76 16.56, 701.07 -1.05 M658.66 49.03 C674.81 40.52, 678.06 24.82, 700.64 2.19 M662.52 50.05 C673 41.18, 680.78 28.93, 703.17 1.94 M671.18 45.26 C677.46 37.67, 693.23 16.9, 711.55 2.51 M667.88 46.32 C685.32 27.4, 698.22 9.26, 711.54 1.93 M671.79 51.48 C686.17 31.31, 703.62 21.28, 713.73 3.44 M674.98 47.92 C686.99 33.22, 697.29 20.1, 715.27 0.29 M682.28 50.78 C691.72 40.51, 701.36 25.6, 722.84 -0.95 M678.39 47.84 C693.08 31.07, 705.25 17.49, 721.79 -0.34 M687.03 49.93 C692.59 34.08, 706.19 21.88, 723.89 -3.61 M684.78 47.41 C691.49 38.37, 703.99 26.74, 725.29 -1.54 M686.96 44.63 C694.97 35.52, 703.66 32.53, 733.14 -3.33 M687.77 46.68 C700.54 35.36, 710.73 21.43, 729.51 1.14 M695.04 44.81 C702.36 37.65, 710.98 25.74, 737.7 -3.43 M696.35 46.78 C708.78 31.2, 724.69 12.87, 736.21 0.68 M702.3 47.82 C709.96 32.62, 726 16.91, 741.47 1.44 M701.74 48.32 C708.85 38.5, 718.09 26.13, 743.96 0.83 M705.34 47.71 C719.35 38.94, 729.29 19.67, 744.64 2.6 M705.72 49.74 C723.21 31.44, 736.7 8.87, 748.58 -1.38 M712.28 48.48 C722.24 29.66, 735.74 16.59, 749.72 -1.45 M711.57 49.69 C721.61 36.91, 734.05 22.22, 753.96 -1.39 M714.32 49.32 C731.9 33.81, 748.17 13.6, 757.02 -3.76 M716.43 49.42 C727.39 34, 739 21.13, 756.48 -0.62 M723.71 49.87 C732.68 37.27, 742.66 23.3, 762.67 0.32 M722.14 47.14 C735.21 31.53, 750.95 12.19, 763.88 -0.2 M729.25 51.46 C741.86 37.58, 750.64 24.49, 770.07 -1.61 M727.63 48.39 C740.45 31.72, 754.91 13.19, 767.59 1.51 M734.31 46.37 C744.62 31.36, 763.25 10.07, 771.96 -1.79 M731.83 48.45 C746.06 32.19, 757.51 20.44, 773.66 -0.83 M736.29 51.08 C753.04 29.17, 762.17 20.16, 777.86 -2.96 M738 46.67 C745.31 38.58, 754.56 28.58, 779.12 -1.02 M740.66 47.51 C758.85 28.32, 772.97 10.15, 788.11 2.78 M744.64 48.86 C750.05 36.22, 759.63 26.92, 782.82 0.91 M748.44 48.26 C757.67 40.65, 770.35 28.42, 789.36 3.33 M745.81 49.69 C760.89 32.45, 775.1 16.93, 789.86 1.21 M754.22 45.9 C764.44 35.08, 771.42 25.05, 792.53 -4.26 M754.08 47.03 C763.63 36.85, 772.52 22.82, 794.42 -1.34 M757.62 46.19 C773.96 32.31, 789.2 16.56, 796.39 3.53 M756.86 48.36 C775.71 30.04, 790.29 9.54, 800.16 1.05 M760.67 50.07 C779.92 32.31, 791.73 23.54, 809.48 1.9 M762.61 49.83 C775.03 35.05, 787.81 23.9, 807.08 -0.51 M766.59 51.18 C776.79 38.64, 787.12 24.91, 813.67 -0.98 M768.54 46.98 C778.47 35.63, 791.52 26.14, 811.92 -1.19 M770.54 49.39 C785.04 38.17, 797.38 22.79, 817.45 1.97 M772.21 49.29 C786.75 29.83, 803.89 14.46, 814.35 0.67 M780.99 48.7 C790.75 36.65, 798.69 23.63, 822.78 -1.7 M777.79 47.33 C794.65 31.66, 804.73 19.86, 820.64 -1.8 M783.24 50.62 C796.73 31.95, 810.06 17.52, 823.78 1.51 M784.43 47.14 C796.46 31.83, 811.8 18.25, 827.29 -1.37 M793.35 51.31 C805.93 32.55, 822.45 15.56, 828.18 1.02 M789.11 48.59 C804.24 30.81, 822.22 9.54, 831.33 -1.6 M797.74 50.91 C812.76 31.91, 826.2 17.02, 836.71 3.47 M795.06 47.79 C813.23 31.25, 826.92 11.41, 838.57 1.52 M799.07 50.71 C808.24 41.08, 819.27 23.65, 841.2 -2.07 M802.58 47.41 C810.49 38.56, 820.17 27.04, 842.59 -2 M803.86 46.5 C818.69 35.67, 833.7 13.12, 844.01 -2.82 M805.45 47.11 C820.29 33.29, 834.93 15.56, 849.06 2.16 M812.42 49.72 C823.48 32.19, 838.79 11.65, 856.05 2.92 M809.81 49.86 C828.29 27, 845 10.69, 854.6 -0.95 M814.33 48.79 C826.88 36.34, 833.96 23.83, 860.32 -0.93 M814.52 48.38 C830.02 34.01, 840.32 19.23, 859.21 -1.18 M818.53 46.29 C833.61 39.01, 835.69 32.65, 865.83 -3.01 M822.02 47.45 C837.83 29.35, 851.07 12.47, 865.07 -0.96 M824.73 52.28 C835.77 38.58, 842.29 24.49, 871.17 -3.27 M826.73 50.34 C843.48 27.03, 861.08 7.85, 869.01 -0.83 M829.44 49.49 C842.98 38.55, 852.28 27.57, 878.47 0.29 M833.94 49.13 C844.19 37.41, 855.84 24.44, 873.29 -1.13 M837.51 50.61 C854.55 32.89, 863.51 14.97, 880.95 -3.15 M836.13 47.15 C853.58 32.13, 867.05 15.69, 878.04 0.38 M844.05 47.52 C850.65 37.34, 867.34 21.71, 884.83 0.06 M843.89 49.28 C856.4 31.81, 869.72 18.09, 884.11 -1.1 M846 44.54 C859.39 36.01, 872.01 20.1, 888.93 1.26 M850.3 48.41 C865.03 31.31, 881.9 13.65, 889.44 1 M856.11 47.69 C868.76 32.45, 880.34 21.47, 898.6 -1.29 M853.77 47.73 C866.52 30.39, 882.41 15.9, 895.94 -1.07 M858.42 49.95 C870.42 32.87, 890.1 18.62, 897.27 -1.11 M858.42 47.17 C874.27 29.41, 889.03 14.09, 901.88 1.05 M862.29 44.47 C875.32 37.47, 887.53 27.69, 908.38 -2.27 M865 49.73 C878.17 31.21, 892.16 15.12, 904.75 -1.82 M865.85 49.86 C886.57 34.21, 897.53 13.83, 910.97 -2.17 M871.21 47.9 C882.78 33.84, 890.15 21.7, 909.63 1.98 M878.09 51.42 C889.22 34.22, 901.73 15.94, 917.62 -2.24 M874.6 45.99 C889.01 32.5, 900.27 19.73, 916.07 -0.68 M882.25 50.39 C892.04 33.68, 902.42 20.98, 921.95 1.27 M880.95 46.53 C891.05 35.52, 907.13 18.36, 922.5 -1.33 M881.26 45.98 C898.11 34.24, 902.74 28.59, 928.66 -1.44 M886.47 49.39 C902.01 29.83, 914.61 13.28, 929.02 0.45 M888.46 48.82 C902.76 38.15, 908.07 23.93, 932.97 -0.47 M889.49 46.41 C897.36 37.21, 907.7 28.43, 933.87 -0.56 M894.39 46.49 C912.54 35.1, 925.13 18.02, 934.04 -0.23 M894.06 48.01 C906.17 38.16, 912.41 29.61, 939.59 -0.13 M904.17 49.51 C909.71 30.64, 927.94 19.76, 941.68 2.06 M900.24 46.33 C917.72 31.26, 931.31 16.28, 944.68 -1.94 M908.97 44.63 C914.97 32.72, 933.97 20.68, 951.16 -2.11 M908.4 49.6 C920.83 33.58, 936.78 15.69, 947.31 1.06 M915.99 47.99 C924.88 33.06, 935.18 19.14, 956.59 -2.57 M910.17 48.52 C927.71 30.5, 940.62 15.1, 955.45 1.73 M920.01 50.47 C935.39 32.89, 949.77 6.91, 962.34 -1.19 M916.75 46.62 C927.06 34.06, 938.71 24.21, 959.32 1.18 M925.35 46.88 C933.76 38.84, 943.92 23.69, 965.11 1.34 M921.83 46.64 C936.14 33.97, 949.11 16.29, 966.24 -0.93 M925.41 45.23 C933.06 35.38, 944.09 27.7, 973.39 -1.21 M925.93 48.94 C939.3 33.17, 953.37 19.13, 968.97 0.08 M932.61 47.95 C945.6 27.3, 963.51 16.26, 973.5 0.61 M935.31 49.81 C944.58 32.59, 959.88 18.54, 976.67 0.17 M941.95 45.21 C952.91 33.51, 959.09 25.19, 981.04 1.22 M938.31 47.9 C952.82 29.67, 968.61 13.06, 979.17 1.07 M944.96 52.09 C955.63 35.93, 967.2 23.95, 982.92 1.19 M944.27 46.56 C956.95 33.79, 971.15 16.37, 985.94 0.54 M949.26 45.87 C959.05 34.14, 969.76 25.9, 988.86 0.59 M947.84 48.24 C962.59 32.85, 976.97 15.71, 990.39 -1.14 M952.5 51.29 C963.88 31.74, 977.67 17.8, 997.38 -3.85 M955.93 48.87 C966.07 34.56, 978.91 17.22, 996.8 1.12 M961.88 45.78 C968.09 32.95, 979.26 19.77, 999.31 -1.44 M960.03 48.19 C967.39 36.18, 979.85 27.48, 1000.67 -0.37 M968.18 44.7 C976.5 36.97, 985.66 26.09, 1007.79 -2.31 M967.09 48.16 C977.17 36.39, 984.35 24.42, 1007.58 0.29 M973.2 46.63 C987.44 27.89, 1004.87 15.2, 1013.73 3.88 M971.93 47.35 C984.17 33.37, 994.22 21.88, 1013.6 0.98 M979.83 46.57 C988.04 35.39, 998.54 14.72, 1015.9 -2.87 M976.08 47.28 C986.47 34.99, 1000.86 21.19, 1016.14 -2.11 M979.49 45.25 C995.83 33.04, 1009.66 8.29, 1024.33 0.43 M980.18 46.82 C992.51 31.94, 1003.49 17.75, 1022.35 -0.05 M990.17 46.3 C1003.04 32.27, 1011.59 13.14, 1026.38 -3.08 M986.83 48.54 C998.59 33.92, 1010.66 19.62, 1027.95 -0.83 M987.9 49.58 C1009.01 35.71, 1017.38 14.94, 1030.19 3.22 M992.98 49.1 C1000.2 37.33, 1008.73 24.68, 1033.64 1.02 M1000.12 49.14 C1011.69 33.64, 1025.79 21.02, 1038.73 2.63 M996.15 50.4 C1012.44 33.78, 1027.71 14.28, 1039.99 -1.17 M1000.44 46.71 C1013.15 26.75, 1029.5 14.79, 1045.26 2.39 M1002.07 50.14 C1019.14 31.83, 1032.49 14.03, 1043.76 0.12 M1003.45 49.22 C1020.54 28.37, 1036.77 18.93, 1046.71 -0.29 M1008.38 48.53 C1020.37 35.45, 1030.93 18.09, 1048.18 1.76 M1014.02 50.81 C1023.94 34.18, 1043.47 12.24, 1058.39 3.2 M1010.78 47.33 C1025.65 34.89, 1037.22 23.45, 1054.55 0.58 M1014.84 50.06 C1032.29 32.38, 1040.22 27.73, 1056.88 -1.53 M1019.47 48.29 C1033.54 29.09, 1049 11.73, 1057.96 0.02 M1020.4 47.23 C1038.07 31.91, 1053.46 20.11, 1065.29 2.03 M1021.98 47.48 C1039.28 29.21, 1055.15 13.76, 1065.44 1.21 M1024.5 45.54 C1035.42 38.02, 1044.66 23.42, 1068.76 -1.38 M1027.58 49.71 C1040.51 32.97, 1055.12 15.68, 1068.37 1.39 M1030.24 48.39 C1048.2 29.36, 1056.46 16.61, 1076.52 2.4 M1034.12 46.86 C1047.73 28.97, 1066.15 10.38, 1077.38 0.24 M1037.52 44.66 C1051.37 34.75, 1062.26 25.8, 1076.69 2.99 M1040.44 48.29 C1051.43 31.56, 1065.76 16.68, 1082.01 -0.94 M1041.05 45.89 C1057.17 31.12, 1064.75 17.9, 1079.01 6.47 M1045.2 47.17 C1051.45 39.17, 1058.78 32.13, 1078.36 6.87 M1049.85 47.57 C1063.12 33.72, 1074.52 21.24, 1077.4 11.33 M1051.32 46.93 C1061.63 36.72, 1068.24 24.93, 1080.51 13.48 M1053.23 50.4 C1061.17 38.46, 1069.77 27.27, 1083.69 21.01 M1056.8 47.55 C1063.12 37.91, 1075.14 26.69, 1079.09 19.2 M1056.33 45.53 C1066.79 44.92, 1072.4 38.58, 1080.84 29.4 M1059.09 47.99 C1066.77 38.99, 1075.57 30.3, 1079.43 25.42 M1062.06 51.76 C1070.17 40.71, 1076.78 35.51, 1077.72 34.35 M1066.03 48.56 C1071.19 43.33, 1075.47 36.14, 1081.19 33.24 M1073.53 45.97 C1073.07 45.78, 1073 44.65, 1082.79 35.97 M1071.77 49.02 C1073.33 45.28, 1074.97 44.68, 1081.45 38.05 M1075.68 48.92 C1078.16 46.35, 1078.38 47.05, 1081.29 44.43 M1076.85 48.1 C1078.19 47.26, 1078.86 45.79, 1080.29 43.96" stroke="#1971c2" stroke-width="0.5" fill="none"></path><path d="M0.22 1.31 C264.25 -4.58, 527.52 -3.71, 1079.28 -1.07 M-0.37 0.49 C398.73 -3.91, 799.28 -4.36, 1079.13 0.36 M1081.66 -2.12 C1080.4 16.41, 1081.42 32.46, 1076.71 49.26 M1080.16 0.16 C1080.93 10.79, 1077.99 25.06, 1078.64 49.69 M1079.41 49.38 C652.62 39.97, 225.72 41.6, 0.84 47.57 M1078.68 48.8 C761.03 50.1, 441.8 49.49, -0.71 47.86 M-3.75 51.55 C-3.23 34.76, -0.09 19.6, 3.61 1.67 M-1.44 46.53 C-0.92 33.27, 0.07 16.81, -1.29 1.85" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(465.7640075683594 255.5) rotate(0 85.73599243164062 17.5)"><text x="85.73599243164062" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">ML Platform</text></g><g stroke-linecap="round" transform="translate(12 323.5) rotate(0 255 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-1.15 5.59 C2.2 3.57, 1.28 2.27, 4.33 1.32 M-0.38 6.85 C1.17 4.38, 1.96 4.43, 4.96 0.12 M-1.97 10.29 C3.19 11.85, 2.98 8.57, 8.96 0.69 M-1.4 11.21 C3.85 8.49, 6.29 6.22, 10.34 -1.6 M0.56 19.54 C4.65 15.87, 3.18 10.33, 12.38 0.64 M-0.16 18.7 C2.47 14.68, 9.45 10.62, 15.45 -1.05 M0.47 20.69 C6.63 18.23, 9.81 14, 19.92 -0.85 M1.12 24.25 C7.69 18.11, 14.7 7.73, 20.79 1.12 M-0.65 32.73 C9.57 21.4, 10.12 10.73, 25.79 0.49 M0.4 31 C6.25 24.74, 12.95 16.81, 27.61 -0.64 M-0.5 38.76 C9.72 24.39, 23.29 12.61, 30.69 2.35 M-1.36 36.41 C9.9 26.71, 16.46 15.74, 31.8 0.5 M-3.35 44.58 C8.29 29.5, 22.59 19.8, 39.39 2.9 M1.71 43.88 C12.65 30.17, 20.67 18.14, 34.99 -1.03 M-2.75 49.66 C13.1 35.41, 29.47 11.7, 45.23 3.47 M-1.1 50.69 C9.36 35.34, 23.04 21.07, 42.11 0.41 M2.34 50.63 C15.84 39.2, 23.55 23.9, 44.12 -0.66 M-0.18 56.34 C16.28 37.51, 33.08 18.03, 48.59 1.32 M-2.5 64.08 C18.37 37.64, 44.67 16.83, 51.05 -1.57 M1.53 62.15 C15.53 42.84, 29.04 27.82, 53.93 0.66 M0.77 66.02 C13.49 55.5, 25.33 39.78, 58.06 4.14 M1.54 67.7 C16.42 47.17, 32.78 29.03, 56.87 -0.5 M5.08 68.83 C17.41 45.72, 36.48 31.76, 66.79 1.99 M5.45 68.59 C25.96 44.3, 49.12 16.12, 64.95 0.63 M11.88 70.44 C31.9 41.54, 48.57 26.95, 70.41 -1.5 M9.6 66.51 C30.51 44.56, 51.69 18.95, 69.7 0.19 M14.68 63.63 C26.09 49.69, 38.3 38.51, 78.2 -0.2 M17.81 67.43 C33.27 48.73, 52.84 26.9, 76.25 -0.73 M23.79 64.87 C41.09 47.84, 59.42 20.22, 81.49 2.51 M19.21 67.3 C32.61 53.56, 45.04 35.49, 78.42 -0.41 M26.87 69.07 C44.74 47.95, 64.82 22.51, 86.18 -3.61 M25.93 67.66 C38.5 49.52, 53.86 33.31, 84.39 -0.93 M34.89 64.33 C47.71 48.21, 69.74 22.68, 86.74 3.14 M32.16 67.31 C50.11 44.26, 68.87 22.81, 91.78 -0.5 M34.61 66.64 C56.6 46.57, 82.68 19.89, 98.73 -0.86 M35.83 65.84 C56.52 43.77, 77.13 24.09, 97.34 -1.89 M42.66 70.71 C62.04 42.84, 87.18 14.98, 100.74 2.2 M41.68 67.37 C58.84 46.59, 73.7 30.13, 99.99 -0.74 M49.97 68.66 C62.4 50.1, 74.03 41.71, 106.98 2.32 M46.94 68.06 C64.49 49.36, 81.04 28.38, 106.51 -1.99 M51.77 64.79 C74.62 47.48, 92.51 19.39, 109.19 0.42 M52.42 67.85 C67.58 48.99, 78.74 36.31, 110.67 -0.21 M56.13 70.34 C76.73 45.31, 96.07 23.08, 116.54 3.85 M60.16 65.98 C71.52 51.78, 82.08 38.38, 118.12 0.73 M65.95 70.22 C83.3 46.19, 93.67 28.18, 124.91 -2.62 M64.51 68.69 C86.98 39.67, 109.79 15.48, 120.9 -0.44 M71.43 65.76 C89.95 41.56, 106.03 20.64, 126.12 2.23 M69.81 64.82 C89.69 41.35, 114.22 14.15, 127.76 1.5 M72.1 65.51 C92.19 43.7, 113.08 21.51, 131.83 -0.47 M73.48 65.41 C90.47 49.27, 105.15 31.96, 133.19 -1.39 M77.31 63.89 C94.25 48.88, 112.13 31.32, 139.55 1.12 M79.65 67.37 C93.14 52.36, 109.71 35.55, 136.51 1.41 M88.23 64.06 C101.65 37.33, 130.21 14.14, 141.05 -3.78 M86.3 69.07 C106.45 41.7, 129.17 15.65, 143.49 -1.47 M90.35 64.56 C104.68 50.52, 127.53 25.71, 144.47 -1.72 M90.88 65.98 C106.27 48.15, 123.48 29.7, 149.52 0.33 M91.48 66.14 C110.35 52.12, 123.1 39.75, 150.75 -0.36 M97.41 66.3 C110.8 48.5, 124.02 30.73, 153.19 -1.51 M98.24 66.47 C119.88 42.47, 139.75 22.32, 159.65 2.36 M102.13 66.56 C111.58 52.45, 124.91 38.03, 159.42 1.7 M106.09 66.9 C122.56 44.94, 138.86 28.13, 162.26 -3.12 M104.64 67.29 C124.99 44.18, 144.58 20.59, 165.1 -0.79 M107.15 67.96 C133.15 44.5, 157.68 12.96, 170.97 0.88 M112.82 69.34 C126.53 47.29, 144.13 26.28, 170.23 0.52 M115.46 64.36 C137.81 46.35, 161.11 22.22, 172.02 -2.09 M117.3 65.79 C133.61 47.09, 150.85 29.74, 175.5 -1.03 M120.33 63.99 C142.11 46.96, 156.04 30.87, 179.44 0.24 M121.78 65.84 C138.36 49.89, 156.3 28.76, 181.44 -0.63 M126.1 67.42 C145.94 38.92, 171.9 16.19, 187.61 3.55 M128.1 67.13 C146.21 45.38, 167.55 19.61, 186.07 1.63 M134.21 66.65 C153.61 44.98, 169.2 28.26, 193.2 1.71 M131.3 67.42 C149.64 44.72, 170.22 24.51, 191.97 0.38 M135.64 63.85 C159.03 47.64, 175.78 21.76, 195.72 -2.48 M137.23 68.18 C154.81 44.89, 171.25 27.67, 195.96 0.59 M140.97 70.14 C165.33 48.01, 177.2 20.67, 203.5 1.45 M141.75 66.24 C159.26 45.1, 178.03 25.15, 200.17 1.23 M148.84 68.29 C160.77 49.5, 173.06 33.85, 210.17 2.39 M148.29 65.39 C168.66 44.36, 191.82 16.91, 205.73 -1.16 M151.95 67.54 C173.73 44.66, 188.83 27.24, 208.72 -1.55 M154.98 68.02 C179.45 37.45, 199.51 10.78, 211.83 -0.81 M161.59 66.27 C175.85 50.22, 189.27 35.27, 215.92 -0.36 M160.31 66.76 C175.55 47.51, 195.04 25.6, 217.4 0.9 M165.59 66.82 C181.05 49.14, 189.05 34.61, 222.39 2.64 M162.22 68.06 C175.76 51.1, 187.23 37.41, 224.18 -0.94 M168.89 70.18 C188.81 45, 206.32 26.91, 225.04 1.58 M171.77 67.85 C184.45 52.34, 195.91 34.93, 226.41 0.87 M175.47 66.81 C196.35 47.81, 215.68 26.02, 233.13 2.77 M176.2 67.19 C191.53 48.19, 204.89 32.9, 233.9 1.24 M180.88 63.3 C205.32 45.11, 223.48 22.62, 236.06 4.19 M180.6 67.8 C198.04 48.17, 215.75 25.07, 237 -0.83 M186.27 65.22 C200.37 48.81, 217.21 31.27, 244.7 -1.51 M187.03 67.82 C203.76 44.84, 225.61 21.58, 245.07 1.65 M190.83 63.77 C208.69 49.68, 226.68 30.38, 252.62 0.04 M192.14 65.31 C203.49 53.24, 214.3 38.73, 248.8 -0.48 M197.82 66.63 C214.71 43.26, 236.39 20.71, 251.99 0.33 M194.29 65.94 C212.45 47.74, 232.17 27.09, 253.25 -0.18 M199.11 68.61 C220.65 45.39, 235.24 24.53, 255.52 -1.16 M203.19 66.62 C213.4 50.84, 227.77 35.7, 260.92 1.45 M205.08 66.5 C221.04 49.49, 235.35 38.08, 265 -2.32 M207 67.08 C223.03 49.38, 238.95 30.2, 265.41 -1.21 M213.23 69.72 C230.32 45.42, 253.13 23.38, 269.32 0.43 M213.99 65.55 C234.89 39.47, 260.16 15.6, 270.55 1.32 M214.1 67.16 C242.83 39.38, 259.09 16.83, 276.88 -1.18 M215.61 66.34 C236.28 47.26, 254.58 22.88, 275.98 1.21 M223.17 70.63 C237.87 52.21, 255.73 33.57, 281.72 3.52 M223.53 68.24 C244.09 42.79, 266.45 16.9, 280.33 1.03 M226.1 69.83 C240.31 50.19, 249.35 36.87, 287.89 -1.12 M227.99 68.38 C242.99 47.54, 260.62 27.94, 286.8 1.27 M236.02 67.46 C252.11 39.62, 278.25 19.61, 291.54 -2.31 M232.23 66.12 C253.54 45.29, 272.58 19.39, 290.33 0.06 M237.38 66.59 C260.16 47.22, 274.77 23.42, 297.39 -4.11 M237.47 67.41 C249.04 52.63, 264.22 41.18, 295.17 0.72 M239.98 69.51 C262.46 47.4, 286.36 18.65, 300.73 3.39 M241.99 68.45 C262.29 44.25, 285.02 19.51, 302.06 -0.56 M247.41 64.4 C261.79 51.84, 276.62 38.8, 303.92 -1.25 M250.81 67.24 C266.96 47.73, 285.47 24.54, 305.82 0.87 M255.08 64.16 C275.03 42.26, 293.74 23.34, 314.37 -0.02 M254.78 67.29 C275.6 47.96, 292.85 24.45, 314.47 1.78 M258.74 69.09 C275.83 44.95, 292.53 25.07, 321.09 3.23 M260.22 65.2 C277.34 47.93, 292.01 26.86, 318.91 -1.38 M268.45 65.69 C287.9 38.75, 310.55 14.78, 324.65 -2.36 M264.02 66.29 C277.94 51.14, 289.12 39.36, 323.96 -0.77 M269.08 69.37 C284.92 52.65, 295.4 39.66, 329.68 -0.02 M271.32 68.21 C283.48 49.77, 296.48 37.78, 330.05 -1.61 M274.35 67.24 C290.08 50.98, 306.75 31.67, 334.89 -2.53 M274.56 68.62 C297.68 43.45, 314.86 20.88, 332.33 1.52 M279.26 68.82 C296.48 50.05, 312.37 30.56, 341.57 -1.49 M279.19 68.74 C304.71 42.6, 321.73 19.07, 338.28 0.2 M282.16 64.83 C303.87 50.48, 312.78 37, 343.55 -0.58 M286.7 69.04 C299.71 51.4, 313.58 35.71, 342.85 -0.07 M293.21 69.9 C308.25 44.23, 323.66 26.74, 351.1 3.97 M292.34 64.83 C307.18 46.96, 325.15 30.37, 349.43 0.37 M300.39 65.37 C312.19 45.78, 332.9 30.21, 352.18 2.34 M296.16 65.88 C319.77 43.45, 338.83 20.84, 356.22 -0.68 M302 65.96 C319.91 44.81, 334.04 27.53, 361.73 -1.86 M300.71 68.07 C314.4 51.95, 327.63 39.67, 358.72 0.52 M304.68 70.61 C325.54 45.45, 343.13 34.01, 365.5 3.92 M306.11 69.01 C327.49 45.59, 348 19.93, 366.58 -1.92 M315.85 65.19 C331.07 49.93, 350.03 27.27, 374.06 -0.09 M311.7 67.64 C332.47 48.57, 346.83 27.88, 370.85 0.09 M317.79 69.22 C326 54.79, 339.27 42.94, 375.31 0.76 M319.16 67.88 C335.04 47.03, 353.13 28.55, 377.5 0.21 M324.07 66.68 C336.64 47.77, 352.02 32.02, 380.47 -1.7 M322.13 66.24 C346.32 43.04, 362.91 22.21, 382.61 1.35 M329.6 68.71 C351.06 44.01, 376.4 18.24, 384.58 -3.7 M329.35 67.48 C350.78 42.39, 370.83 17.61, 385.98 -0.77 M334.44 69.14 C345.72 49.71, 364.65 31.4, 388.48 1.21 M333.6 68.92 C346.05 53.42, 359.81 38.39, 390.24 2.1 M337.12 63.47 C360.31 48.44, 377.19 23.18, 399.37 0.9 M338.15 68.39 C362.96 38.55, 382.99 12.71, 398.49 -1.76 M343.86 67.9 C363.09 48.3, 374.58 31.98, 404.72 3.41 M343.13 68.03 C361.34 50.76, 378.32 31.81, 401.4 -0.28 M352.49 66.78 C362.71 50.85, 372.91 35.29, 404.87 -0.26 M350.49 66.73 C369.34 44.46, 385.39 23.49, 406.89 -2.09 M358.37 67.42 C374.81 43.33, 388.22 23.49, 410.95 2.55 M355.18 67.72 C374.04 43.05, 395.59 19.04, 415.2 -0.83 M362.96 70.79 C372.52 50.76, 388.65 37.52, 421.42 0.93 M358.72 66.2 C377.24 44.39, 395.77 25, 420.52 0.45 M363.78 70.29 C382.86 46.73, 394.41 35.31, 420.05 -0.85 M364.34 68.98 C386.76 38.71, 411.89 14.11, 422.17 0.94 M370.93 70.51 C382.57 49.89, 400.58 35.58, 432.45 3.41 M370.63 66.06 C388.17 47.53, 403.13 30.05, 430.14 1.66 M373.05 69.97 C397.03 41.8, 415.54 23.24, 436.04 -3.4 M374.62 66.33 C399.82 46.39, 419.75 20.02, 436.3 1.11 M377.89 63.85 C402.6 41.97, 417.99 26.37, 440.55 -2.98 M381.45 65.12 C402.51 43.04, 423.73 17.53, 439.95 -1.12 M386.25 66.78 C404.16 44.99, 430.02 16.93, 446.04 1.18 M387.46 67.87 C407.22 46.31, 423.96 24.09, 447 -0.71 M392.5 67.57 C418.38 41.21, 438.71 15.89, 451.4 2.48 M393.84 65.75 C405.83 52.12, 416.36 40.64, 451.57 -0.98 M398.57 67.95 C413.93 49.56, 429.15 31.36, 452.33 -1.97 M397.75 67.28 C409.05 50.36, 422.25 35.5, 455.13 -1.31 M406.5 69.32 C427.2 38.86, 448.29 18.36, 457.84 -0.64 M401.92 65.92 C421.61 45.33, 437.2 27.7, 460.09 -1.45 M408.34 63.54 C427.75 45.15, 453.69 16.88, 464.27 -0.83 M409.81 67.76 C429.44 44.58, 446.66 24.9, 464.98 -1.94 M410.77 67.62 C437.76 43.86, 459.63 17.11, 471.14 -1.13 M415.22 67.1 C428.32 48.31, 443.2 27.54, 473.36 0.28 M417.01 66.53 C432.81 51.76, 445.79 37.82, 474.39 3.51 M417.41 66.11 C435.11 47.53, 451.34 28.51, 476.28 -0.28 M427.34 63.88 C443.5 47.97, 459.71 30.01, 483.7 0.85 M422.73 66.39 C447.12 43.9, 466.29 20.77, 482.64 2.28 M429.14 64.74 C448.45 50.11, 464.54 33.96, 490.32 -3.19 M427.74 68.67 C448.65 46.13, 468.21 20.82, 488.19 1.54 M437.34 70.35 C454.89 46.66, 471.48 25.44, 489.06 -1.75 M436.85 68.4 C452.04 46.09, 472.23 21.93, 494.66 -1.53 M436.44 68.88 C462.08 43.52, 488.39 13.85, 494.81 -0.28 M441.44 67.36 C457.55 44.11, 477.33 24.69, 499.33 0.98 M445.01 70.19 C460.43 51.51, 473.2 29.36, 500.54 -1.83 M445.45 65.32 C467.53 40.83, 493.27 14.17, 502.24 -0.42 M449.72 64.55 C474.88 36.86, 495.92 9.51, 509.76 3.75 M448.57 67.65 C469.39 45.29, 493.06 22.47, 507.73 -0.98 M453.11 66.17 C476.21 44.86, 490.23 24.75, 509.27 0.06 M455.16 65.68 C472.07 49.36, 485.11 30.15, 514.33 3.4 M458.93 68.19 C474.09 48.56, 487.78 37.3, 508.95 11.62 M460.67 68.58 C474.72 51.81, 490.01 36.59, 511.66 8.55 M465.43 69.68 C481.53 47.42, 493.19 30.15, 510.3 10.58 M466.03 67.26 C479.67 52.83, 495.37 33.53, 510.1 13.59 M473.16 63.14 C481.98 56.13, 493.97 44.24, 516.46 24.06 M470.66 66.73 C487.89 48.97, 501.72 33.21, 511.96 21.16 M474.97 65.25 C490.18 53.88, 498.45 39.31, 512.82 29.36 M475.55 65.72 C484.79 59.09, 490.98 47.87, 513.18 25.49 M480.58 63.61 C496.23 58.8, 499.77 44.29, 514.83 29.44 M480.93 68.29 C488.29 60.63, 494.87 50, 512.28 32.78 M490.49 63.52 C490.7 57.24, 499.24 51.71, 510 35.73 M489.35 67.49 C494.05 57.1, 503.33 50.18, 513.49 36.83 M496.53 66.68 C497.99 60.32, 510.14 54.23, 513.78 47.55 M491.32 64.96 C497.52 61.77, 506.16 54.87, 511.75 43.41 M495.86 70.01 C505.18 61.43, 508.54 58.6, 514.78 47.15 M496.45 66.58 C503.57 60.61, 509.3 53, 511.05 50.14 M506.14 67.81 C507.19 64.27, 509.57 60.12, 514.76 58.16 M503.29 66.33 C507.36 64.65, 508.26 60.52, 511.37 57.9 M507.91 67.78 C509.12 64.94, 510.47 62.85, 512.21 63.07 M508.88 67.61 C509.99 65.55, 510.9 63.57, 512.22 62.33" stroke="#1971c2" stroke-width="0.5" fill="none"></path><path d="M1.18 0.26 C118.53 1.84, 240.69 1.93, 509.61 -1.45 M-0.51 0.21 C137.83 1.26, 275.98 1.32, 509.45 0.44 M513.77 -2.39 C512.3 30.13, 511.44 55.91, 508.98 63.58 M508.35 -1.65 C507.3 18.09, 507.52 34.69, 511.97 67.58 M510.11 67.69 C318.04 65.29, 122.45 65.43, -1.33 65.93 M509.3 66.99 C364.6 70.95, 217.16 70.97, -0.25 67.53 M2.97 70.12 C3.59 42.49, 0.94 11.66, 3.62 -3.22 M-1.6 66.28 C-1.98 43.89, -0.49 21.95, 1.55 1.01" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(52.09001159667969 332) rotate(0 214.9099884033203 25)"><text x="214.9099884033203" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Data Science toolkit</text><text x="214.9099884033203" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Notebooks + integration with data services</text></g><g stroke-linecap="round" transform="translate(573.5 325) rotate(0 255 33.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.29 5.78 C0.39 4.94, 3.11 4.16, 3.81 1.11 M-0.76 6.13 C0.77 4.06, 2.27 2.2, 4.86 1.12 M-1.04 14.9 C4.1 7.08, 8.69 6.9, 9.97 2.91 M-0.6 13.16 C1.97 8.81, 6.83 4.99, 9.58 0.8 M-0.06 14.85 C5.84 9.07, 13.96 1.43, 11.86 -1.63 M-1.95 18.55 C5.13 12.54, 9.71 7.74, 15.63 0.89 M1.29 22.64 C6.6 14.65, 8.87 11.1, 21.52 -1.38 M0.09 25.71 C4.39 16.67, 12.12 12.34, 19.38 -1.71 M-0.9 31.53 C9.81 16.71, 17.36 4.35, 25.47 3.8 M-1.88 29.14 C6.54 21.01, 15.67 14.92, 27.44 1.82 M-2.33 33.96 C6.73 26.65, 14.09 19.46, 32.15 3.23 M1.65 37.07 C8.05 27.69, 14.29 21.21, 31.36 -0.06 M2.52 41.34 C13.65 28.44, 23.39 11.13, 37.88 -1.09 M-0.77 43.55 C11.34 32.46, 18.62 20.96, 38.56 0.6 M-2.37 46.97 C18.05 31.34, 34.46 12.14, 43.26 0.29 M0.93 48.35 C7.55 39.11, 20 27.37, 41.93 -1.19 M1.3 53.61 C16.89 39.45, 26.88 16.7, 51.24 -1.02 M-0.7 53.36 C15.42 38.65, 27.04 23.27, 46.93 0.36 M0.15 64.2 C20.08 40.36, 39.9 13.87, 51.56 3.52 M0.46 62.17 C18.55 42.79, 33.27 20.11, 53.24 1.32 M-3.03 69.32 C15.31 51.25, 22.18 35.18, 58.79 -1.85 M1.09 68.49 C15.04 48.87, 30.82 28.43, 57.88 -0.21 M9.24 68.24 C20.57 39.59, 48.16 20.1, 64.85 1.5 M4.09 65.93 C24.68 41.33, 46.44 17.17, 64.85 -0.56 M6.67 65.96 C24.29 47.76, 43.07 26.09, 68.94 1.44 M9.22 66.08 C23.07 51.71, 37.58 37.4, 68.22 1.16 M14.78 66.62 C36.68 42.66, 58 25.27, 78.09 -2.3 M17.85 68.65 C34.22 40.07, 54.78 19.49, 73.79 -1.31 M19.67 70.32 C35.87 51.33, 45.17 37.01, 81.17 0.75 M22.8 67.25 C33.66 51.19, 50.02 38.95, 78.18 -1.73 M24.52 67.79 C40.26 50.33, 53.72 36.86, 81.35 2.44 M25.98 64.92 C44.85 47.55, 62.96 26.94, 86.49 -1.8 M31.57 71.23 C47.9 49.52, 63.84 26.3, 86.14 -1.15 M33.52 65.84 C44.39 50.81, 57.9 35.26, 91.41 0.51 M34.62 69 C58.96 40.69, 77.29 19.75, 91.84 0.94 M37.39 66.88 C59.31 41.95, 79.43 16.97, 94.84 -1.4 M41.05 64.4 C55.52 50.06, 67.04 34.72, 97.59 1.38 M42.52 65.27 C57.15 49.32, 73.91 32.49, 99.03 0.82 M48.32 70.4 C70.3 42.47, 85.71 20.96, 105.86 1.27 M48.44 66.22 C64.26 45.39, 85.91 25.34, 108.17 -1.87 M49.94 68.42 C65.44 51.69, 79.72 35.58, 112.42 0.88 M52.38 66.52 C66.6 52.13, 82.33 33.63, 111.58 -0.29 M60.01 67.02 C73.29 46.51, 96.79 30.09, 114.22 3.15 M58.92 66.19 C72.73 47.51, 86.41 32.09, 116.59 1.33 M63.19 68.74 C86.38 39.82, 111.51 16.19, 118.63 0.73 M63.11 68.1 C86.02 42.45, 108.37 14.84, 123.03 1.24 M71.21 64.76 C88.73 41.47, 107.26 22.57, 128.79 2.92 M68.07 65.61 C85.39 47.43, 105.78 25.68, 125.59 0.04 M72.87 65.7 C90.91 49.97, 98.86 30.78, 135.37 -0.8 M76.15 66.14 C95.44 46.38, 115.46 20.18, 130.8 1.04 M82.54 64.38 C96.86 41.7, 117.29 20.7, 138.62 -1.98 M78.54 66.86 C102.02 42.1, 120.6 17.81, 136.16 1.91 M82.16 66.51 C102.33 40.79, 129.75 19.35, 140.88 -2.55 M86.39 66.28 C99.94 51.38, 114 32.95, 143.76 -1.7 M93.76 69.53 C105.69 53.43, 115.15 29.64, 144.53 0.05 M88.44 67.88 C105.84 51.56, 119.82 34.48, 147.38 -0.56 M97.41 69.26 C112.74 44.32, 132.91 28.4, 152.55 -0.5 M94.15 67.75 C116.95 43.47, 137.36 15.79, 154.18 -0.22 M103.77 62.73 C124.99 41.09, 142.59 14.71, 158.47 3.45 M99.31 66.18 C117.03 50.15, 129.17 32.88, 159.76 -1.35 M104.05 70.89 C129.36 46.15, 149.21 18.13, 162.89 -3.77 M105.2 67.34 C126.58 44.21, 149.05 19.94, 165.81 -0.2 M109.91 70.13 C133.11 45.09, 151.67 16.01, 171.51 1.58 M111.49 67.58 C129.67 45.36, 153.73 19.8, 171.23 -0.86 M114.66 67.25 C141.79 39.99, 164.98 13.58, 171.55 -2.57 M114.72 67.39 C130.37 50.99, 144.27 35.75, 173.8 0.24 M118.63 70.5 C137.93 46.74, 150.9 33.35, 177.84 2.64 M122.69 67.21 C142.82 41.94, 168.04 16.83, 181.2 2.07 M128.93 69.04 C142.83 48.46, 164.06 26.65, 185.27 -0.27 M127.37 67.82 C141.83 49.3, 156.46 33.01, 184.76 -1.47 M133.53 63.74 C148.16 43.93, 170.29 28.02, 190.79 -2.3 M132.11 66 C150.24 47.71, 166.24 26.13, 190.48 -1.83 M141.69 69.86 C154.31 46.25, 169.05 32.28, 193.94 2.67 M137.21 66.09 C159.59 43.75, 179.34 20.27, 196.73 -0.31 M142.01 67.86 C157.51 50.43, 173.73 32.89, 202.81 0.73 M143.05 67.71 C158.42 50.6, 171.42 36.15, 201.33 -0.28 M150.88 70.14 C162.86 44.75, 182.03 29.46, 210.58 0.63 M147.75 65.26 C168.18 44.62, 187.46 17.91, 207.2 0.28 M154.56 63.77 C167.95 49.84, 188.98 31, 209.47 0.57 M154.24 67.66 C177.04 42.32, 198.61 18.63, 213.45 0.57 M157.58 69.24 C182.29 39.93, 202.59 15.64, 215.31 -1.11 M159.94 65.91 C181.67 44.01, 199.11 19.43, 217.07 0.43 M164.83 67.24 C183.09 44.68, 198.24 26.32, 225.47 0.92 M163.84 68.73 C184.94 40.26, 205.34 17.29, 223.98 0.13 M165.98 65.36 C180.4 50.79, 199.03 30.62, 227.4 -2.4 M168.16 66.2 C186.68 49.32, 204.03 27.88, 226.71 -0.16 M173.57 64.91 C188.8 50.18, 198.18 42.72, 236.62 -3.64 M173.46 65.36 C195.57 43.37, 215.85 22.04, 231.49 -0.62 M183.41 63.59 C203.95 37.83, 227.41 16.13, 240.57 0.53 M180.25 65.86 C195.46 48.43, 211.98 31.67, 239.25 -1.49 M188.67 70.3 C202.21 49.84, 220.6 34.07, 239.88 -3.64 M184.14 67.56 C204.2 44.06, 224.9 19.72, 243.99 0.85 M188.31 67.87 C207.86 50.98, 228.73 27.5, 249.65 4.06 M189.45 66.18 C214.38 40.55, 233.85 14.85, 247.23 1.75 M193.13 67.81 C215.44 42.72, 241.14 11.85, 251.31 1.25 M196.36 68.9 C208.3 50.97, 222.52 34.28, 254.93 0.64 M202.25 65.06 C214.67 51.48, 227.8 32.5, 262.62 1.73 M202.48 66 C218.94 50.74, 232.96 32.55, 260.66 0.69 M209.1 68.72 C228.5 46.07, 239.85 26.32, 266.12 2.24 M206.03 66.5 C221.28 51.99, 234.73 37.53, 263.2 0.41 M209.94 64.84 C228.03 54.15, 237.51 31.46, 271.23 -2.82 M211.45 65.74 C235.35 41.32, 256.26 16.64, 269.65 1.28 M217.84 63.16 C236.35 53.59, 247.26 28.51, 274.63 -2.6 M216.52 65.05 C235.98 46.56, 256.06 21.74, 277.11 -0.62 M222.54 68.58 C243.52 46.3, 257.25 26.86, 282.37 -3.07 M221.3 68.12 C241.28 47.11, 255.1 26.52, 279.74 1.03 M231.72 68.17 C247.29 39.5, 271.79 18.56, 286.29 -0.29 M226.6 68.82 C244.84 46.34, 261.65 28.3, 286.43 -1.65 M232.3 66.21 C250.64 47.12, 274.21 19.53, 294.05 2.38 M232.34 67.17 C248.06 49.23, 263.07 29.52, 291.91 0.99 M238.26 63.63 C256.8 50.33, 266.19 36.42, 297.66 -3 M238.52 65.61 C258.84 47.91, 273.27 28.13, 298.36 -0.34 M240.64 64.82 C269.87 38.14, 293.38 9.95, 303.41 1.81 M244.37 68.74 C254.88 53.86, 269.62 40.7, 302.57 1.81 M248.09 64.32 C268.04 51.62, 285.78 26.45, 308.44 -0.03 M249.94 66.82 C268.48 45.07, 285.27 26.27, 309.53 -0.78 M252.77 69.62 C274.6 44.24, 290.83 24.06, 314.7 2.34 M255.27 67.5 C273.41 45.52, 290.67 25.08, 311.58 -0.33 M262.97 63.88 C273.08 54.65, 288.3 31.7, 321.46 2.21 M257.97 67.37 C280.44 43.99, 300.56 22.14, 318.02 -1.5 M261 68.7 C276.99 54.43, 287.47 36.39, 323.31 -1.98 M264.36 67.66 C281.96 48.26, 296.32 32.27, 322.24 -1.68 M267.79 66.84 C293.64 43.89, 308.69 24.68, 326.66 -3.83 M271.13 65.79 C291.67 42.69, 317.39 15.95, 327.34 0.55 M276.79 65.01 C296.04 47.24, 309.05 19.41, 331.75 1.73 M276.41 67.02 C289.27 54.83, 301.01 38.47, 333.26 1.09 M278.55 64.59 C304.97 43.4, 328.25 19.55, 341.12 -2.81 M281.43 68.12 C298.25 48.36, 313.83 28.53, 338.43 -2.05 M282.69 68.39 C302.77 48.76, 316.72 23.37, 341.66 -2.75 M285.62 68.93 C298.09 54.67, 308.08 38.72, 342.83 -1.14 M294.4 67.4 C312.44 39.89, 334.36 16.53, 352.38 4.24 M292.26 68.01 C309.32 49.92, 320.96 35.23, 349.02 1.63 M296.42 63.55 C314.37 43.01, 331.13 22.03, 353.78 3.22 M295.61 66.29 C318.23 45.44, 334.49 21.06, 356.53 -1.94 M305.58 64.43 C320.41 45.5, 330.38 31.63, 361.07 -3.11 M302.5 66.64 C324.72 43.36, 342 22.88, 360.26 1.8 M306.79 66.08 C328.77 41.75, 352.4 12.19, 368.02 1.16 M307.47 65.57 C331.15 40.57, 352.06 12.93, 367.43 0.7 M309.5 63.69 C322.71 57.46, 340.45 42.01, 368.98 3.86 M314.42 64.78 C331.41 43.96, 352.04 18.88, 372.74 0.49 M321.75 66.42 C327.35 50.04, 346.74 35.33, 375.37 -0.53 M319.7 66.82 C332.06 47.4, 348.9 32.41, 375.98 0.35 M326.64 68.07 C343.65 48.78, 363.63 23.59, 381.69 3.96 M321.76 66.73 C337.99 51.21, 352.27 32.78, 381.16 0.57 M328.37 69.92 C349.34 44.85, 371.3 16.92, 389.98 1.43 M328.25 67.63 C345.23 49.65, 360.11 31.85, 386.12 -1.85 M336 68.11 C349.31 47.94, 362.42 30.65, 391.89 -1.07 M333.03 69.13 C347.32 52.75, 358.57 36.29, 393.66 -1.56 M340.85 64.78 C354.59 49.22, 371.83 25.62, 401.1 -2.82 M338.51 67.17 C350.86 49.22, 368.27 34.84, 397.19 -1.23 M341.65 70.95 C361.45 52.34, 373.31 30.27, 403.4 -2.67 M346.14 65.92 C355.44 54.48, 368.72 40.67, 403.82 0.07 M352.51 70.08 C366.21 47.72, 382.38 27.73, 405.12 3.73 M349.3 66.15 C368.01 47.49, 385.03 27.76, 407.99 -1.52 M352.81 64.85 C375.55 40.67, 400.06 12.08, 415.17 -1.36 M356.49 68.86 C370.4 49.45, 389.37 29.83, 414.63 1 M359.8 63.8 C377.35 49.26, 397.73 25.26, 421.54 0.99 M360.89 66.87 C382.95 41.86, 408.14 15.21, 420.75 1.09 M362.5 64.21 C381.08 50.41, 393.06 34.76, 421.28 1.17 M363.55 68.5 C389.59 42.68, 409.36 16.74, 422.56 -1.67 M370.29 70.76 C388.6 46.8, 402.81 31.55, 429.01 3.73 M370.96 65.17 C383.07 52.81, 395.69 40.49, 429.13 -2.01 M378.85 70.31 C393.86 45.63, 407.97 29.01, 434.92 2.15 M374.23 66.99 C398.94 42.65, 418.83 17.34, 433.49 -1.28 M378.68 66.66 C392.35 48.36, 408.02 38.03, 437.28 -2.41 M382.66 66.46 C394.82 49.68, 410.1 30.73, 438.24 0.11 M385.11 63.29 C410.59 37.55, 434.79 17.61, 448.41 -2.34 M386.9 66.02 C400.59 49.86, 416.49 29.58, 446.73 -1.61 M390.79 66.1 C404.44 51.64, 421.9 29.14, 447.23 3.1 M392.56 65.72 C415.66 40.41, 436.62 14.24, 452.62 -2.03 M395.68 66.18 C423.62 39.74, 443.38 16.86, 457.21 -1.35 M399.34 66.83 C416.92 46.16, 433.73 22.82, 455.06 -0.87 M399.57 66.53 C414.43 51.59, 429.08 40.47, 458.88 -4.34 M402.67 67.48 C417.03 50.65, 433.4 35.14, 460.26 1.62 M408.06 64.87 C429.87 42.05, 452.04 13.06, 467.88 -1.05 M408.79 66.25 C427.46 45.73, 448.41 21.08, 464.66 0.29 M417.09 64.29 C432.81 42.19, 460.61 13.92, 470.71 2.28 M412.43 65.84 C425.65 52.49, 443.3 32.66, 471.9 1.46 M418.89 64.12 C435.93 49.91, 449.58 34.14, 474.11 -0.71 M419.91 68.66 C437.3 44.09, 456.4 23.76, 475.18 -1.22 M426.54 70.59 C437.96 50.11, 447.84 38.79, 482.28 2.6 M422.74 68.47 C435.43 52.3, 448.39 40.79, 483.72 1.16 M431.93 63.6 C446.93 41.17, 474.59 23.32, 488.74 -0.76 M428.8 66 C444.03 53.22, 454.78 38.19, 487.69 1.07 M438.26 63.5 C444.73 52.6, 458.41 38.77, 490.33 -2.59 M435.92 68.58 C450.4 47.98, 466.5 29.03, 493.35 2.24 M442.06 65.82 C458.66 48.19, 482.12 20.69, 495.71 -2.74 M439.01 65.77 C461.19 40.37, 480.61 15.55, 496.69 -0.8 M441.68 67.99 C466.82 44.57, 482.16 19.57, 499.37 -2.4 M443.72 64.96 C458.62 53.33, 475.11 34, 502.53 1.01 M451.3 68.17 C473.5 40.45, 493.05 18.29, 506.1 -1.32 M449.52 67.04 C465.44 48.61, 484.17 28.08, 510.15 -1.23 M452.73 68.65 C473.96 43.81, 495.59 21.12, 511.71 2.44 M454.69 66.72 C478.72 39.73, 499.57 16.41, 511.11 2.86 M460.77 70.93 C479.4 44.88, 503.83 22.92, 510.87 8.02 M462.74 68.44 C476.08 49.33, 487.76 36.31, 514.22 7.24 M468.41 70.68 C474.33 48.85, 493.37 35.29, 513.59 14.41 M464.79 66.26 C477.65 52.16, 491.43 35.35, 511.16 13.05 M470.74 69.24 C486.67 49.11, 499.23 34.67, 515.3 23.83 M472.53 68.17 C481.6 57.21, 488.52 45.56, 511.66 20.8 M478.89 64.41 C492.83 48.68, 499.5 36.02, 509.39 24.93 M477.41 67.8 C490.73 50.38, 503.18 35.95, 513.22 26.5 M480.59 69.13 C494.16 51.04, 506.66 40.2, 511.1 28.29 M484.19 67.98 C492.76 55.59, 503.16 42.14, 514.02 33.98 M486.11 70.31 C492.01 59.32, 502.41 50.55, 515.47 41.17 M486.08 68.39 C496.54 56.27, 504.86 45.1, 512.12 38.54 M496.83 63.5 C501.82 60.59, 504.88 51.28, 513.2 47.01 M494.43 65.18 C497.89 61.78, 503.96 51.99, 510.34 43.36 M495.16 67.7 C499.57 63.97, 505.99 56.16, 515.95 48.4 M497.75 66.61 C500.75 62.43, 507.73 59.86, 510.77 51.3 M502.01 65.06 C505.2 63.33, 506.36 62.3, 510.52 55.17 M503.52 68.03 C506.97 64.79, 508.69 62.01, 512.77 56.92 M507.94 67.09 C508.71 66.74, 510.48 66.02, 511.86 61.51 M508.72 67.04 C509.57 65.77, 510.89 63.62, 512.29 62.62" stroke="#1971c2" stroke-width="0.5" fill="none"></path><path d="M1.32 -0.78 C200.47 -0.51, 397.96 1.61, 508.61 -0.33 M-0.31 0.41 C166.2 4.41, 333.59 3.54, 509.34 -0.68 M506.83 -0.91 C514.23 18.78, 513.2 37.88, 511.66 69.17 M508.63 -1.25 C512.63 22.31, 510.66 49.15, 510.8 65.95 M510.95 68.21 C375.75 63.43, 239.21 62.4, 1.23 67.63 M509.97 67.2 C335.5 63.14, 162.3 62.78, 0.76 66.99 M2.2 70.58 C1.06 42.28, -2.15 16.49, -2.22 -2.54 M0.79 66.84 C1.26 47.59, -0.81 31.27, 1.14 1.5" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(679.8000030517578 333.5) rotate(0 148.6999969482422 25)"><text x="148.6999969482422" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Fully-managed tools, workflows</text><text x="148.6999969482422" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">and infrastructure</text></g><g stroke-linecap="round" transform="translate(10 413.5) rotate(0 539.5 24)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-1.86 6.1 C0.57 4.5, 2.68 1.9, 5.06 -0.24 M-0.71 6.66 C1.57 3.97, 2.04 3.57, 5.23 0.05 M-1.96 10.27 C0.09 8.06, 8.7 4.4, 13.05 0.04 M-0.9 13.57 C3.09 10.52, 5.84 6.86, 11.01 -0.28 M0.13 14.56 C7.7 14.37, 11.28 6.44, 18.52 -3.07 M-1.69 19.32 C6.18 10.47, 12.32 4.93, 15.11 0.13 M1.08 21.12 C6.41 16.37, 14.17 5.1, 17.9 -1 M1.05 22.71 C5.65 19.43, 11.04 12.94, 21.14 1.65 M1.15 33.72 C6.63 23.53, 13.53 12.14, 27.94 0 M0.82 32.44 C9.2 19.55, 17.65 9.69, 25.08 0.96 M1.8 33.54 C6.57 28.35, 19.62 12.12, 32.87 -0.9 M-0.66 36.63 C8.18 26.42, 16.51 19.43, 30.04 1.23 M3.9 40.16 C11.54 28.39, 25.46 17.86, 36.45 2.16 M1.89 41.89 C9.97 28.4, 24.83 13.38, 38.74 -1.48 M-0.81 44.4 C8.13 37.03, 17.38 24.4, 44.02 2.99 M1.7 47.16 C14.87 30.38, 30.43 13.84, 44.35 0.06 M1.59 51.97 C21.76 31.27, 40.2 13.39, 49.95 0.6 M4.06 48.56 C14.31 38.59, 25.38 25.97, 46.92 -1.29 M10.17 46.59 C16.99 39, 30.17 26.15, 51.69 -3.57 M10.22 47.62 C22.33 36.48, 33.1 25.74, 52.17 -0.75 M13.05 52.41 C28.54 38.91, 36.74 24.45, 61.21 3.64 M14.16 46.8 C33.04 29.6, 47.12 9.47, 59.98 0.84 M20.17 49.25 C30.25 36.15, 44.08 18.74, 63.07 -3.69 M20.19 49.9 C39.83 28.51, 52.67 9.93, 63.16 -0.68 M26.74 45.9 C40.22 33.14, 50.01 25.02, 65.87 -1.26 M27.36 48.44 C39.22 37.23, 48.56 22.8, 67.89 1.67 M35.32 45.33 C43.42 30.08, 55.27 16.78, 76.27 2.64 M32.31 48.02 C49.47 30.45, 66.62 11.09, 72.55 0.28 M35.25 45.96 C47.31 33.35, 57.74 28.82, 78.46 0.46 M37.64 46.71 C50.53 32.86, 61.96 17.46, 80.13 -0.59 M40.66 46.9 C52.51 31.82, 67.71 20.59, 88.23 -1.45 M42.83 49.42 C58.08 31.17, 71.03 18.03, 85.11 1.52 M46.03 49.22 C57.96 32.14, 74.84 18.23, 92.38 2.49 M48.54 50.27 C63.71 35.04, 74.23 16.45, 89.79 1.69 M56.09 45.16 C66.13 38.7, 73.24 24.97, 94.79 -1.7 M55.56 46.99 C66.24 35.74, 76.72 22.24, 95.2 -2.08 M57.41 51.43 C75.12 30.65, 89.68 14.85, 103.89 1.67 M57.14 47.24 C72.7 33.15, 86.71 19.31, 101.47 1.58 M63.71 51.18 C78.62 31.05, 88.88 23.74, 106.66 -0.73 M65.23 47.8 C75.43 36.28, 88.24 22.27, 106.72 -0.25 M66.62 47.49 C85.48 33.2, 101.82 14.86, 112.14 -2.06 M70.12 49.15 C79.94 35.82, 90.1 24.21, 111.39 1.59 M74.49 44.9 C83.29 38.03, 96.36 23.99, 116.77 -1.27 M76.1 50.11 C90.16 27.04, 109.39 10.16, 116.51 1.5 M77.72 47.4 C94.91 32, 109.14 15.4, 119.15 2.38 M79.69 46.98 C88.97 35.18, 101.35 26.46, 123.3 1.68 M84.28 51.66 C97.48 35.64, 102.28 24.89, 126.88 -1.19 M86.01 47.88 C101.15 30.81, 115.59 11.07, 128.89 -1.16 M93.69 44.29 C102.55 25.77, 121.83 9.14, 129.83 -2.83 M91.64 47.15 C99.42 37.91, 105.97 29, 132.51 -0.77 M92.5 51.13 C110.82 30.49, 124.01 17.3, 135.68 3.02 M97.03 47.73 C103.22 37.64, 114.97 27.14, 135.83 1.11 M100.34 46.44 C114.61 29.77, 136.23 10.41, 143.93 -0.36 M101.33 47.51 C109.92 38.2, 117.68 27.94, 141.9 1.05 M109.4 50.16 C114.35 34.51, 122.63 26.44, 149.38 -2.75 M106.79 49.74 C117.46 37.58, 127.59 25.18, 147.47 0.37 M114.4 45.21 C120.87 37.12, 135.35 24.4, 156.12 -1.76 M113.65 49.36 C125.85 35.13, 137.74 19.66, 153.91 -0.58 M116.14 50.69 C126.73 32.53, 135.32 21.63, 157.05 -1.5 M116.49 47.42 C125.72 37.9, 134.03 28.67, 159.54 0.08 M119.45 47.13 C132.39 34.82, 142.97 29.6, 163.9 0.55 M123.1 49.42 C138.63 32.96, 153.89 14.71, 162.55 0.03 M128.74 49.78 C140.4 32.22, 155.49 14.6, 170.67 -1.1 M126.87 47.72 C140.35 33.02, 151.23 19.53, 169.34 -0.82 M129.95 49.82 C149.62 32.72, 159.29 16.41, 175.68 1.25 M133.69 47.87 C144.73 33.46, 156.16 18.9, 173.39 -1.99 M134.09 47.64 C153.67 27.1, 173.36 12.79, 177.05 -2.27 M138.26 47.03 C150.3 36.26, 160.54 22.03, 179.69 0.01 M143.22 50.05 C153.61 36.18, 167.46 19.11, 186.72 -1.83 M143.03 48.3 C157.69 32.65, 168.84 17.93, 187.56 -2.05 M145.96 47.59 C165.36 35.24, 178.89 16.46, 193.92 1.36 M150.54 47.16 C159.2 36.14, 171.8 22.87, 191.03 0.36 M155.48 51.7 C169.53 30.15, 182.98 19.64, 195.18 0.26 M154.28 49.76 C169.12 32.73, 182.7 16.73, 197.75 -2.16 M157.01 48.07 C168.73 33.23, 179.77 24.59, 197.85 -0.69 M159.14 47.38 C172.03 31.01, 188.84 14.78, 201.32 1.46 M161.82 49.78 C175.28 35.05, 192.38 19.79, 210.07 3.6 M164.17 46.73 C177.35 35.73, 188.07 19.42, 208.2 1.14 M170.74 50.66 C175.43 38.22, 185.39 28.94, 212.3 -3.8 M171.07 48.39 C178.75 36.47, 188.65 25.56, 210.09 -0.01 M172.18 46.43 C190.16 38.21, 195.08 23.67, 219.3 -0.64 M174.98 49.12 C187.55 34.58, 195.35 26.7, 218.76 0.73 M177.57 52.05 C197.65 32.18, 212.92 10.34, 219.61 3.8 M180.91 48.32 C194.32 35.94, 203.49 20.4, 222.45 0.05 M186.76 51.66 C204.91 25.93, 213.65 13.47, 229.62 -2.11 M185.91 47.05 C195.27 38.01, 206.26 26.27, 228.78 -1.06 M194.76 52.07 C200.37 37.99, 214.04 29.35, 232.99 0.99 M190.77 46.74 C199.94 35.7, 211.23 28.51, 233.06 1.17 M198.56 48.34 C203.07 35.28, 216.37 25.29, 242.04 -2.62 M195.67 47.8 C207.73 34.29, 222.41 17.43, 236.56 0.29 M202.46 45.67 C212.9 36.7, 230 16.69, 240.52 -2.21 M202.36 48.68 C215.78 32.63, 230.96 15.25, 242.14 -1.67 M205.53 44.74 C221.13 31.7, 239 10.7, 246.39 -3.1 M206.58 48.34 C219.38 33.86, 229.98 21.61, 249.91 0.45 M215.68 46.91 C219.14 37.2, 229.98 27.42, 253.16 3.32 M212.92 48.57 C224.22 35.06, 235.38 22.59, 255.47 -2.03 M221.11 47.5 C228.31 31.59, 242.19 18.7, 257.41 0.89 M219.18 48.36 C228.2 37.96, 239.69 23.77, 258.25 -1.17 M220.33 49 C232.59 34.32, 245.17 17.76, 264.75 1.85 M223.28 46.29 C232.67 34.55, 244.46 25.3, 264.41 -2.08 M225.65 46.37 C247.16 30.29, 260.77 11.34, 269.36 0.18 M227.58 46.94 C238.55 37.81, 245.21 27.71, 271.21 -0.51 M237.18 48.25 C245.88 37.7, 260.03 19.97, 275.98 0.76 M233.81 47.19 C243.43 35.88, 257.26 21.2, 273.87 -0.52 M238.34 46.24 C253.94 34.56, 261.22 20.17, 279.4 -3.28 M239.42 46.64 C253.51 34.85, 264.13 21.15, 281.97 -0.06 M241.87 52.11 C250.62 37.82, 265.65 21.73, 286.46 -1.43 M244.46 50 C258.76 32.66, 273.83 15.48, 286.32 -0.62 M253.28 51.11 C259.64 35.81, 273 21.46, 287.55 3.57 M247.94 49.44 C262.73 33.73, 277.07 16.02, 291.3 -0.86 M252.92 47.16 C264.84 37.1, 278.83 22.86, 294.63 0.9 M254.73 46.94 C270.17 30.03, 284.07 13.03, 297.79 -2.21 M263.43 48.14 C273.91 33.6, 294.92 14.3, 304.7 -3.06 M259.92 48.74 C270.23 37.96, 275.78 26.47, 303.51 1.47 M267.74 47.1 C272.07 38.1, 280.35 26.88, 305.83 -3.49 M263.69 47.64 C277.09 33.37, 286.84 21.52, 305.89 -1.69 M268.61 47.56 C280.96 34.34, 286.63 29.04, 312.62 -3.85 M271.7 49.42 C285.84 31.57, 299.9 17.58, 314.47 0.76 M278.59 44.73 C287.19 29.25, 306.42 12.1, 316.26 -2.7 M277.97 47.17 C291.06 30.55, 306.53 16, 317.77 -0.02 M283.53 50.78 C295.67 38.33, 299.13 24.37, 319.97 -0.36 M281.21 47.74 C292.55 32.1, 305.41 17.91, 323.64 0.25 M288.61 44.03 C291.99 34.88, 301.86 23.56, 329.02 -1.73 M287.76 46.04 C296.32 32.99, 308.04 22.53, 330.17 1.29 M289.79 50.29 C305.55 33.39, 326.35 10.82, 330.26 0.99 M291.91 47.46 C306.93 31.34, 319.9 16.64, 334.02 0.66 M295.19 44.8 C309.63 33.35, 325.9 21.73, 338.07 1.55 M298.16 46.96 C307.04 37.52, 316.16 23.65, 341.36 0.15 M299.84 45.73 C320.78 30.2, 331.54 12.51, 341.89 -3.1 M300.84 47.73 C315.88 32.92, 329.71 19.84, 344.17 0.12 M308.51 47.73 C317.52 37.5, 332.94 25.29, 351.57 1.17 M307.8 47.8 C320.33 35.03, 334.63 16.87, 350.54 -1.34 M317.01 51.87 C325.33 36.66, 335.24 30.2, 356.13 3.18 M314.59 47.16 C329.29 33.01, 345.38 11.78, 356.23 -1.8 M315.71 50.91 C333.34 29.34, 350.92 9.69, 362.55 3.99 M316.9 50.14 C335.59 29.72, 351.04 12.07, 360.43 0.12 M327.51 50.58 C339.53 30.17, 358.63 10.2, 369.12 -1.21 M325.34 47.79 C332.91 37.93, 341.35 29.59, 363.89 -0.1 M331.41 46.79 C339.98 37.85, 354.27 19.4, 368.94 2.27 M329.91 48.24 C341.6 33.96, 350.37 20.26, 369.35 1.5 M332.43 46.88 C346.88 30.68, 363.14 10.75, 379.9 -2.21 M334.8 47.09 C344.55 36.26, 354.5 21.39, 376.39 -0.31 M341.16 46.92 C352.05 35.99, 365.79 13.96, 384.2 2.67 M338.83 49.8 C351.93 36.18, 360.32 23.52, 381.83 -1.52 M347.73 44.9 C353.46 37.33, 361.05 21.34, 390.35 1.39 M346.26 50 C363.41 30.1, 378.76 9.1, 386.57 1.45 M349.34 50.02 C361.62 27.58, 383.88 12.93, 388.66 2.92 M351.22 47.95 C363.17 35.29, 371.84 24.26, 391.98 2.15 M356.24 47.91 C364.8 38.47, 375.6 24.08, 397.25 -2.1 M356.56 48.86 C371.55 31.72, 387.73 12.22, 398.79 -1.51 M363.22 49.9 C372.87 37.66, 386.31 25.32, 401.53 -0.07 M362.23 49.27 C375.73 35.45, 388.76 16.65, 403.46 -0.93 M363.66 50.28 C373.12 33.96, 386.97 28.95, 408.24 2.78 M368.13 47.46 C375.69 36.25, 380.88 26.8, 409.01 1.58 M368.96 51.51 C381.21 33.77, 397.73 17.22, 416.9 -2.31 M370.53 49.77 C385.32 33.63, 394.79 19.9, 413.48 -0.8 M374.58 45.52 C392.54 30.57, 409.13 14.58, 417.84 2.59 M376.93 49.03 C384.15 36.4, 392.88 26.5, 420.73 -1.08 M379.56 46.93 C395.28 35.35, 398.54 26.16, 427.72 -0.65 M382.39 46.9 C396.01 30.4, 411.43 17.65, 424.84 -0.03 M384.47 50.28 C403.05 38.54, 407.82 21.11, 431.46 3.04 M388.49 48.24 C399.04 35.05, 412.23 17.82, 429 0.14 M394.94 47.34 C400.88 33.01, 417.95 27.39, 433.82 -0.83 M391.63 47.54 C404.7 35.11, 417.21 20.18, 433.88 -1.77 M395.65 48.31 C409.85 36.34, 418.64 23.35, 441.36 -3.06 M397.92 47.2 C413.04 27.59, 430.84 7.15, 440.48 0.33 M401.86 51.08 C413.3 35.55, 417.17 25.94, 441.93 -1.48 M403.61 48.01 C416.64 34.4, 428.47 23.92, 446.52 -1.73 M409.34 46.49 C420.24 34.98, 433.6 20.98, 450.69 -3.76 M409.89 47.44 C423.4 30.31, 437.96 17.12, 449.33 -0.03 M413.96 51.58 C427.05 29.68, 448.69 9.62, 457.61 -2.09 M415.29 50.08 C422.3 38.01, 435.36 24.62, 454.22 -0.18 M416.96 51.59 C430.49 30.16, 444.95 19.23, 457.47 0.02 M417.94 46.71 C434.42 29.84, 447.79 12.47, 461.33 1.04 M423.77 45.43 C441.63 31.25, 455.69 10.25, 469.33 -3.01 M423.17 48.95 C434.2 39.29, 443.09 28.14, 466.03 -1.94 M426.78 51.24 C449.59 32.84, 460.32 10.9, 469.94 3.22 M431.19 47.9 C443.09 34.76, 454.26 19.68, 473.13 -0.34 M434.69 48.32 C451.87 27.69, 465.15 10.49, 480.43 2.52 M435.32 49.24 C448.39 31.76, 465.46 15.04, 476.55 -0.43 M443.99 50.45 C454.68 29.28, 467.41 17.43, 485.18 1.66 M438.33 47.63 C449.43 34.29, 461.39 24.23, 482.93 -0.85 M444.98 47.07 C450.25 33.92, 459.78 25.69, 485.11 -3.63 M447.36 49.04 C453.64 38.13, 464.75 30.59, 485.92 -1.59 M449.28 44.6 C466.3 30.53, 475.99 17.34, 493.19 -3.45 M450.27 49.19 C459.28 38.42, 470.48 26.51, 494.51 -1.48 M455.8 47.62 C466.53 36.45, 476.05 30.03, 500.46 -0.45 M454.5 47.85 C468.27 33.65, 479.46 24.48, 499.89 0.06 M462.25 52.2 C474.49 33.24, 484.59 19.62, 503.49 -0.55 M459.48 47.31 C477.69 31.71, 491.5 10.92, 503.87 1.48 M463.16 51.06 C477.91 33.26, 495.95 14.38, 510.43 0.21 M467.47 46.63 C476.55 36.77, 485.43 26.78, 509.73 1.43 M469.35 50.9 C480.45 37.6, 498 17.81, 512.47 1.06 M471.99 48.15 C483.51 30.99, 500.25 16.75, 514.58 1.16 M473.96 45.58 C491.48 27.53, 506.25 16.7, 521.86 1.6 M476.61 47.75 C491.51 32.79, 505.09 17.59, 520.29 -1.13 M479.92 49.44 C492.73 34.66, 499.43 25.42, 527.4 3.2 M483.41 49.32 C497.45 30.9, 516.38 11.56, 525.78 0.13 M489.97 46.49 C501.43 39.03, 512.5 26.08, 532.46 -1.89 M487.8 47.05 C496.69 36.57, 507.2 26.11, 529.98 0.19 M494.17 47.72 C509.41 30.01, 529.11 9.83, 534.44 2.82 M494.9 47.87 C507.94 29.32, 523.3 12.74, 536.16 -1.6 M499.85 48.26 C506.02 41, 515.6 25.32, 538.81 -0.76 M498.46 49.78 C512.64 33.14, 523.73 21.25, 542.79 0.6 M503.17 44.74 C516.76 34.74, 521.35 26.04, 546.6 0 M505.18 48.27 C516.62 34.93, 526.84 18.27, 543.96 1.43 M511.1 48.44 C521.84 34.59, 525.66 27.03, 552.37 -2.36 M509.61 46.64 C520.61 32.74, 535.2 20.62, 552.23 -1.23 M512.9 46.63 C524.16 35.85, 534.63 21.63, 555.77 -2.08 M514.54 46.43 C529.75 34.03, 542.69 17.36, 555.01 0.09 M518.13 47.74 C537.82 29.1, 548.4 12.19, 559.48 1.05 M521.82 49.76 C537.93 28.12, 551.62 9.25, 561.42 0.82 M528.17 50.67 C536.55 32.17, 544.49 23.76, 564.74 2.92 M524.82 49.72 C533.76 36.73, 542.7 25.76, 566.69 -1.28 M533.55 50.74 C537.56 36.66, 550.45 25.62, 569.34 0.37 M530.56 49.48 C542.58 35.48, 556.03 21.19, 571.01 0.27 M536.71 45.23 C547.12 34.07, 558.57 24.87, 579.14 0.44 M535.44 48.93 C548.65 32.66, 562.32 17.13, 575.94 -0.94 M542.83 46.87 C554.56 31, 573.05 10.39, 581.39 2.36 M540.84 47.3 C552.16 37.46, 564.18 25.07, 582.58 -1.12 M549.1 49.82 C554.16 37.81, 568.74 24.29, 591.51 3.05 M547.37 46.28 C559.95 34, 574.15 15.98, 587.26 0.33 M548.31 46.95 C556.92 38.92, 565.38 29.44, 595.89 2.64 M551.25 48.41 C569.06 31.51, 582.36 11.16, 593.21 -0.47 M558.79 51.07 C573.27 28.81, 587.22 15.66, 597.22 2.45 M555.15 47.44 C566.52 33.48, 577.74 23.42, 600.73 -0.85 M563.92 48.2 C569.47 36.07, 582.43 21.51, 602.02 -1.76 M560.6 46.71 C570.08 37.41, 582.32 24.5, 603.6 -1.15 M566.12 50.76 C584.74 34.36, 593.63 17.1, 610.57 1.46 M566.87 49.52 C577.8 40.35, 584.04 28.44, 607.97 1.6 M574.4 50.92 C583.67 32.09, 595.29 23.69, 612.49 0.52 M571.29 49.52 C585.47 33.6, 600.09 20.39, 612.67 0.12 M578.3 49.75 C591.08 26.32, 609.66 9.12, 616.69 -1.97 M580.2 49.06 C592.3 32.36, 610.28 14.26, 620.17 -0.81 M583.42 50.56 C596.43 28.83, 612.56 14.19, 622.88 4.02 M581.25 49.59 C593.95 36.69, 607.56 21.52, 624.88 2.08 M585.41 48.07 C599.1 32.69, 615.62 20.71, 627.6 1.23 M590.36 50.03 C601.94 32.15, 614.71 17.28, 632.09 0.87 M597.49 45.71 C604.1 33.32, 616.73 19.93, 635.66 2.35 M591.99 49.13 C608.63 30.5, 624.85 12.99, 634.28 -1.12 M600.41 44.84 C614.24 29.05, 626.69 12.52, 642.2 -0.75 M598.13 47.86 C608.32 37.24, 615.33 27.17, 642.05 1.02 M602.01 46.05 C615.75 33.82, 626.75 23.65, 644.15 -3.72 M604.58 47.77 C615.32 37.72, 624.61 22.26, 648.46 0.14 M611.14 46.33 C625.7 29.81, 635.73 18.08, 654.26 -0.57 M609.87 49.4 C626.14 29.66, 644.4 11.84, 651.92 -0.54 M617.25 48.41 C624.85 36.44, 636.8 19.81, 656.57 1.69 M615.64 46.59 C624.74 36.9, 634.57 26.2, 656.58 -1.1 M620.3 49.92 C636.9 28.95, 645.67 20.2, 660.44 -3.79 M621.49 48.94 C633.14 32.31, 648.46 18.03, 663.15 1.47 M626.35 44.73 C635.01 36.48, 650.53 16.29, 664.01 1.6 M625.37 48.1 C638.75 31.14, 653.87 16.11, 669.36 -0.36 M629.48 44.12 C652.51 30.29, 663.78 8.6, 676.24 3.15 M630.45 48.2 C643.14 33.29, 656.55 18.42, 672.75 -2.27 M639.34 46.09 C649.95 32.78, 662.52 18.41, 680.41 2.13 M637.52 48.24 C648.05 36.36, 658.68 21.92, 679.1 -1.73 M639.14 48.57 C647.6 34.81, 662.03 26.55, 680.07 -3.03 M643.8 48.37 C658.18 30.89, 674.36 12.89, 685.28 0.38 M645.12 50.69 C665.86 27.7, 683.17 11.2, 686.61 0.55 M647.41 48.4 C660.49 31.05, 676.54 17.7, 687.64 -1.85 M655.95 50.77 C659.43 41.38, 671.37 25.47, 693.2 -2.53 M653.48 46.8 C666.25 29.41, 682.15 12.08, 692.87 -1.01 M659.45 51.84 C672.99 30.48, 691.77 12.5, 702.33 1.25 M657.92 47.4 C667.94 38.87, 674.47 27.84, 698.39 -1.94 M663.43 51.11 C675.32 29.66, 698.57 10.54, 707.12 -3.64 M662.96 50.01 C671.08 38.19, 680.24 26.45, 706.56 1.34 M668.99 45.99 C679.99 34.54, 693.32 24.54, 714.14 -0.27 M667.49 49.51 C681.91 32.39, 697.68 13.57, 708.32 0.25 M674.03 51.35 C691.79 35.92, 698.68 19.02, 718.16 2.21 M671.31 50.25 C685.54 31.74, 701.08 18.06, 714.91 -1.65 M679.25 48.72 C694.23 30.53, 707.19 21.32, 723.51 -1.38 M678.13 48.42 C693.54 31.66, 706.08 14.36, 719.98 -1.62 M683.68 51.62 C691.96 33.77, 705.09 26.19, 723.56 -3.03 M683.82 50.43 C692.91 38.4, 701.85 29.85, 724.08 0.68 M690.63 46.73 C698.62 39.93, 710.41 28.93, 730.76 -0.31 M691.4 47.26 C700.51 36.95, 711.92 25.19, 733.46 1.54 M695.23 51.19 C706.12 33.89, 713.6 25.32, 740.1 -3.05 M695.33 48.9 C711.61 31.46, 725.89 12.52, 736.47 -0.37 M698.4 45.83 C712.98 34.76, 724.97 20.88, 743.12 3.82 M700.43 46.62 C714.93 31.74, 727.3 17.05, 742.42 -1.71 M702.39 48.44 C717.72 33.17, 731.82 18.6, 747.42 -2.39 M706.25 47.46 C718.47 34.73, 729.79 18.95, 746 -0.02 M708.72 46.97 C719.01 35.59, 733.24 22.74, 750.65 3.03 M709.93 48.51 C718.89 37.68, 729.72 28.31, 754.08 0.6 M713.73 48.87 C727.19 36.66, 731.43 29.45, 760.04 -2.49 M714.57 47.34 C724.56 37.24, 734.78 27.94, 758.18 -0.08 M722.59 46.23 C730.65 32.82, 741.1 22.19, 766.33 -3.56 M720.13 48.36 C736.02 28.98, 752.84 13.75, 765.24 -0.1 M728.73 49.13 C743.09 33.65, 760.12 11.21, 771.35 -1.63 M727.81 49.2 C743.56 30.84, 757.53 12.5, 770.08 -0.91 M735.92 50.8 C750.87 30.1, 767.14 10.72, 777.98 -1.69 M730.87 47.07 C741.72 35.03, 753.1 22.2, 774.24 -0.98 M737.71 44.97 C741.64 41.24, 754.75 28.81, 777.64 -3.01 M735.07 49.15 C748.61 34.98, 761.78 21.53, 778.34 -1.44 M739.47 47.01 C755.32 36.21, 768.33 23.79, 788.32 -1.96 M741.51 46.95 C756.66 30.42, 774.85 11.56, 784.98 0.27 M745.88 47.28 C760.64 33.46, 775.2 19.14, 786.05 1.32 M747.01 46.73 C764.89 28.25, 781.74 11.83, 791.13 0.84 M750.9 48.3 C767.83 34.51, 774.69 17.04, 798.92 0.12 M755 47.78 C767.91 33.59, 780.23 16.75, 794.95 1.38 M757.32 50.06 C771.26 32.83, 791.81 12.97, 798.59 -1.56 M759.87 48.91 C768.65 40.77, 773.92 29.73, 800.22 1.88 M766.07 48 C776.86 35.08, 787.15 17.79, 802.26 0.21 M765.2 47.5 C774.51 36.46, 785.37 25.18, 807.19 -0.49 M767.01 46.46 C784.48 35.09, 794.65 16.02, 812.17 2.55 M767.42 50.13 C778.94 37.23, 784.42 27.15, 808.93 -0.94 M777.69 48.29 C788.52 30.84, 798.73 21.41, 812.99 1.8 M775.47 47.24 C790.68 30.25, 809.89 10.86, 817.62 0.02 M776.76 44.73 C795.05 31.14, 808.99 8.55, 818.56 -1.04 M781.01 48.23 C793.86 34.5, 806.02 16.56, 820.14 -0.78 M787.38 48.76 C800.66 30.46, 810.77 21.78, 822.66 -2.73 M782.79 47.83 C793.89 37.55, 805.12 27.19, 825.73 1.45 M787.28 44.26 C802.29 36.79, 810.97 28.13, 828.39 0.13 M789.55 48.5 C806.38 33.98, 819.19 18.33, 832.27 -1.4 M792.27 51.35 C805.03 36.64, 816.51 25.67, 835.67 -3.6 M796.37 46.78 C811.24 31.77, 826.34 13.39, 838.59 0.03 M798.17 51.55 C809.65 35.69, 825.16 24.24, 839.2 -2.38 M799.53 47.67 C814.38 31.92, 826.53 17.34, 843.36 -1.09 M808.39 45.13 C814.31 41.07, 822.02 27.15, 848 -0.69 M804.94 47.03 C819.97 31.72, 834.19 12.7, 849.48 -1.33 M807.88 48.25 C829.32 31.36, 847.13 14.61, 851.39 2.14 M810.96 49.91 C822.34 38.12, 830.07 23.4, 854.95 -0.72 M814.65 46.3 C824.9 35.58, 831.58 24.01, 854.48 -2.74 M816.83 48.97 C831.9 33.69, 845.65 17.08, 857.24 -0.27 M821.75 47.11 C832.15 37.17, 841.79 25.51, 860.21 3.5 M821.46 46.82 C835.67 34.92, 845.97 20.54, 864.18 0.29 M824.8 50.19 C844.01 30.27, 851.95 14.85, 872.81 -3.36 M827.91 50.43 C838.11 33.54, 853.66 22.2, 870.3 1 M835.98 52.01 C847.84 28.39, 861.59 11.56, 871.82 2.66 M834.19 49.46 C850.11 30.17, 865.14 11.37, 875.74 -0.05 M839.5 47.23 C856.49 27.39, 874.03 9.97, 879.58 2.97 M837.64 46.67 C849.66 34.29, 860.08 21.46, 878.62 -0.28 M845.65 49.97 C855.84 36.79, 870.2 19.57, 887.24 3.68 M841.86 48.28 C851.58 37.91, 861.1 29.65, 885.89 1.7 M846.27 47.01 C857.61 36.07, 874.4 18.78, 890.26 -3.14 M849.02 50.38 C865.3 29.86, 879.53 9.68, 889.74 0.54 M852.74 51.11 C867.82 36.67, 875.82 22.94, 894.37 -2.24 M854.76 49.22 C868 35.09, 879.77 20.81, 894.44 -1.56 M859.5 46.22 C869.47 31.97, 880.18 23.78, 903.16 -1.91 M860.6 47.7 C866.4 36.02, 877.05 27.02, 900.75 -0.42 M866.06 48.71 C882.55 25.23, 900.4 8.69, 907.98 3.23 M864.75 49.63 C874.62 36.14, 885.65 25.71, 904.77 0.47 M872.47 44.68 C888.34 31.29, 899.5 9.9, 915.51 1.53 M870.53 50.2 C881.69 34.72, 891.66 23.74, 910.33 0.37 M877.33 51.15 C887.52 30.49, 901.31 17.41, 913.71 1.53 M873.23 46.3 C888.26 33.72, 898.81 17.87, 915.84 -0.42 M881.32 45.34 C893.91 39.4, 906.42 18.81, 923.38 1.21 M880.49 46.9 C890.27 35.81, 896.17 27.13, 922.69 1.9 M884.48 50.68 C899.67 33.26, 909.41 19.95, 924.09 1.23 M886.52 48.2 C895.09 35.2, 908.86 19.94, 926.13 0.94 M893.07 46.27 C903.3 36.24, 912.51 23.61, 929.73 -1.76 M891.74 48.24 C903.58 36.32, 917.55 18.9, 931.62 -1.43 M894.28 52.44 C910.57 29.04, 924.58 15.79, 937.85 -1.21 M894.47 49.51 C907.97 30.47, 925.01 14.05, 937.06 -0.04 M901.63 48.67 C915.52 32.58, 934.1 14.17, 944.41 0.9 M901.1 50.11 C916.38 27.8, 934.31 9.11, 944.47 0.26 M910.41 46.94 C921.32 37.65, 927.57 19.83, 950.59 -0.48 M906.52 50.08 C916.67 40.5, 922.47 30.72, 947.58 -0.8 M911.75 48.86 C918.95 39.75, 934.98 26.06, 952.11 0.56 M912.95 49.83 C922.43 34.33, 932.58 24.57, 954.14 0.24 M920.07 47.06 C935.4 32.44, 945.07 17.42, 958.78 -1.88 M918.33 48.46 C926.68 41.31, 933.49 30.82, 958.22 0.92 M923.1 46.29 C933.86 32.26, 943.71 19.69, 968.43 3.74 M923.22 50.16 C934.86 35.91, 948.06 21.49, 963.12 -0.75 M925.35 48.81 C942.86 25.43, 960.82 8.75, 970.46 -0.33 M927.13 46.61 C935.52 38.18, 946.54 26.91, 969.74 0.08 M930.18 51.53 C943.55 34.8, 949.55 28.48, 975.81 0.08 M931.43 47.3 C942.83 37.65, 951.93 26.43, 975.44 1.46 M935.22 47.34 C952.97 30.86, 964.85 17.28, 980.51 -3.65 M939.71 49.96 C951.61 33.98, 962.18 22.85, 978.45 1.05 M946.4 46.28 C956.35 35.66, 966.89 22.33, 987.61 2.32 M944.64 46.89 C958.45 29.59, 976.5 12.41, 984.7 -1.54 M949.49 44.89 C961.04 34.17, 969.11 23.4, 994.72 -0.5 M948.4 47.37 C957.66 38.39, 967.71 26.33, 992.23 1.66 M956.03 47.36 C970.34 31.24, 982.34 14.85, 1000.01 -1.64 M953.48 48 C965.73 38.28, 973.06 27.75, 998.05 1.3 M958.88 50.85 C975.38 33.94, 985.23 19.38, 997.72 -0.44 M959.12 47.12 C971.77 33.64, 983.44 21.62, 1002.52 1.17 M962.21 50.71 C978.04 26.53, 1000.23 12.43, 1008.11 -0.8 M964.15 47.13 C974.51 34.14, 985.67 22.92, 1008.23 0.47 M968.98 49.74 C987.36 32.71, 1002.98 14.49, 1009.03 -1.9 M971.36 48.94 C977.73 38.84, 987.38 28.56, 1012.34 0.28 M978.97 47.42 C988.07 38.02, 991.89 26.88, 1013.87 -1.01 M974.39 46.25 C986.64 35.11, 997.88 21.05, 1017.51 -2.13 M984.25 49.19 C991.15 36.12, 1001.63 27.81, 1019.07 -0.18 M982.13 48 C995.36 32.62, 1007.57 16.88, 1024.24 1.12 M983.2 47.67 C995.99 40.75, 1003.64 25.41, 1026.12 -1.03 M985.53 48.73 C998.41 31.32, 1013.07 18.33, 1029.76 -1.13 M992.01 47.95 C1001.58 34.42, 1009.37 31.13, 1037.09 -3.46 M990.04 46.92 C1007.55 32.14, 1022.78 15.19, 1032.37 -0.72 M994.02 49.55 C1009.01 28.48, 1020.15 13.32, 1036.57 -0.46 M997.79 48.15 C1008.94 34.67, 1022.29 16.68, 1038.37 0.24 M1002.48 51.92 C1017.67 35.69, 1024.86 22.41, 1043.24 -0.79 M1003.26 47.72 C1016.99 28.41, 1033.16 9.96, 1042.4 -0.25 M1003.38 51.98 C1018.7 37.19, 1024.12 26.58, 1051.15 0.96 M1008.93 49.26 C1018.23 37.18, 1029.65 25.61, 1049.66 -1.01 M1016.74 50.1 C1025.91 37.18, 1029.32 25.88, 1052.54 -2.09 M1011.5 47.88 C1026.23 33.31, 1039.16 17.59, 1055.59 0.99 M1020.15 51.31 C1033.76 31.87, 1041.08 16.03, 1060.62 0.36 M1018.29 48.52 C1027.5 37.01, 1034.75 25.88, 1061.49 1.26 M1026.75 46.62 C1030.17 33.4, 1040.84 26.39, 1066.9 1.82 M1022.05 48.33 C1037.32 35.3, 1050.34 19.06, 1064.77 -1.11 M1024.74 46.22 C1041.96 30.9, 1064.9 8.03, 1068.67 4.24 M1029.43 47.07 C1043.48 33.32, 1054.88 14.73, 1071.3 -1.08 M1031.35 44.75 C1045.81 35.01, 1060.05 22.02, 1075.07 -0.73 M1035.77 49.42 C1050.67 27.3, 1067.04 8.86, 1074.31 -1.24 M1040.4 46.54 C1049.45 29.26, 1067.08 13.82, 1077.86 2.26 M1037.5 47.46 C1047.57 38.42, 1057.87 25.98, 1082.09 -0.74 M1044.24 46.87 C1053.49 38.87, 1062.25 29.33, 1078.16 5.26 M1043.05 46.94 C1058.16 32.29, 1071.15 19.23, 1081.59 6.91 M1053.29 49.22 C1058.95 36.9, 1061.22 29.82, 1081.07 16.97 M1049.18 49.73 C1060.96 33.68, 1074.19 22.78, 1081.9 14.83 M1054.01 46.49 C1058.05 41.16, 1068.56 39.85, 1081.3 19.34 M1055.88 48.13 C1061.68 39.76, 1071.8 28.82, 1080.75 20.53 M1060.42 46.32 C1064.65 44.5, 1071.15 36.21, 1080.45 24.96 M1058.73 47.31 C1066.84 41.28, 1075.81 30.15, 1078.7 24.47 M1064.11 44.25 C1068.17 42.3, 1073.26 41.66, 1077.82 34.67 M1067.79 47.63 C1070.97 44.81, 1072.43 40.53, 1078.78 32.72 M1070.06 48.87 C1073.66 44.57, 1077.37 41.71, 1078.03 35.85 M1071.64 47.49 C1075.04 45.63, 1078.11 39.99, 1078.73 39.04 M1076.64 48.01 C1077.31 47.11, 1080.03 43.72, 1081.53 43.7 M1076.94 47.91 C1077.7 45.77, 1079.41 44.79, 1081.02 43.24" stroke="#1971c2" stroke-width="0.5" fill="none"></path><path d="M0.8 -1.01 C384.29 -2.37, 765.23 -2.03, 1078.61 1.05 M-0.64 -0.45 C366.17 -3.58, 733.03 -3.6, 1079.64 0.79 M1078.5 3.93 C1080.53 9.43, 1081.36 23.43, 1080.25 48.68 M1080.21 -1.94 C1079.23 14.85, 1080.18 25.1, 1079.92 48.35 M1079.12 48.71 C718.88 43.33, 357.7 44.53, -1.41 47.48 M1078.45 47.26 C821.55 40.74, 566.03 40.88, -0.02 47.56 M-1.8 50.79 C1.66 34.54, 2.82 21.74, 1.39 -1.53 M0.01 49.25 C-1.27 34.48, 0.38 24.79, -1.55 -0.06" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(416.66798400878906 420) rotate(0 132.83201599121094 17.5)"><text x="132.83201599121094" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">End-to-End ML Ops</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/07/2023-07-30-genai-lifecycle.svg b/assets/2023/07/2023-07-30-genai-lifecycle.svg
new file mode 100644
index 0000000..9c313b6
--- /dev/null
+++ b/assets/2023/07/2023-07-30-genai-lifecycle.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 845.0678609771749 387.633743380311" width="1690.1357219543497" height="775.267486760622">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="845.0678609771749" height="387.633743380311" fill="#ffffff"></rect><g stroke-linecap="round"><g transform="translate(14.479437556117773 11.305088941677013) rotate(0 50.95738665410511 27.303612150440244)" fill-rule="evenodd"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M2.1 3.68 C3.03 2.59, 3.68 1.44, 5.25 0.24 M2.35 3.31 C3.44 2.16, 4.44 1.19, 5.13 0.46 M4.99 6.7 C6.17 4.54, 8.24 2.73, 9.79 0.53 M4.96 6.94 C6.47 4.17, 8.05 2.39, 11.03 0.35 M6.87 10.92 C9.89 6.86, 12.65 3.56, 16.36 0.18 M6.7 10.42 C10.45 6.95, 13.61 2.24, 15.28 -0.25 M10.32 14 C13.82 10.25, 15.14 6.03, 20.94 -0.31 M10.23 12.44 C14.38 8.23, 18.25 3.57, 20.56 -0.82 M12.72 14.87 C19.09 9.83, 21.87 2.95, 24.25 -1.29 M12.57 16.32 C15.76 10.96, 20.2 6.8, 25.93 0.13 M15.55 19.28 C19.39 13.89, 26.09 7.91, 33.19 0.28 M14.51 18.87 C18.56 13.24, 23.63 9.52, 30.95 -0.1 M16.48 21.33 C23.24 17.09, 27.52 10.94, 37.51 0.01 M16.83 23.09 C21.34 17.26, 27.76 11.69, 37.83 1.17 M19.26 24.53 C26.41 18.22, 35.35 8.2, 41.26 -1.32 M19.84 26.59 C26.05 18.64, 31.83 11.89, 42.31 -0.95 M23.93 27.79 C31.78 20.03, 37.77 9.21, 47 -1.28 M23.33 29.53 C31.6 18.99, 40.95 7.69, 47.6 -0.31 M3.33 56.57 C23.78 35.72, 39.1 16.63, 54.48 0.69 M2.88 58.06 C13.01 45.74, 24.48 33.1, 52.86 -0.95 M9.11 58.47 C22.83 40.46, 39.52 24.76, 56.96 -0.21 M7.58 58.1 C22.43 42.04, 35.5 26.27, 57.17 -0.34 M14.2 58.77 C24.25 43.71, 36.48 34.08, 63.94 -1.62 M14.26 57.18 C29.61 40.33, 45.88 22.17, 64.07 -0.66 M20.72 57.16 C34.94 37.93, 53.18 14.3, 69.38 -1.56 M19.16 57.42 C34.05 40.18, 49.6 22.67, 69.55 -0.04 M23.27 57.02 C37.32 42.17, 50.34 24.87, 74.49 -1.91 M22.95 57.01 C36.16 43.14, 49.62 28.97, 74.55 0.21 M27.69 57.84 C41.52 42.39, 55.85 26.84, 79.97 0.11 M29.26 56.95 C44.55 40.28, 57.89 24.2, 78.94 0.33 M35.3 59.78 C43 47.76, 53.15 33.61, 83.44 1.91 M34.64 57.79 C52.22 36.36, 71.73 15.54, 84.72 0.36 M41.64 56.11 C50.19 46.39, 62.94 35.46, 86.3 5.05 M41.1 58.37 C54.65 39.14, 69.73 21.43, 86.67 3.91 M44.75 57.76 C54.24 47.72, 63.66 34.38, 87.85 8.45 M46.09 58.63 C60.74 39.56, 75.09 23.36, 88.15 7.61 M51.91 57.8 C58.85 46.16, 67.19 35.81, 89.54 12.94 M51.03 58.25 C58.88 47.43, 67.74 37.24, 91.13 11.92 M55.86 55.92 C65.45 46.46, 73.4 36.98, 95.08 12.74 M55.25 57.52 C67.74 45.36, 77.69 32.67, 94.06 14.84 M61.61 58.98 C72.19 45.39, 84.39 34.09, 97.32 16.98 M60.53 58 C69.89 48.34, 78.24 38.18, 96.49 17.71 M66.61 57.47 C74.35 47.52, 85.21 37.77, 99.68 19.64 M67.13 57.33 C73.7 48.34, 81.43 39.51, 98.26 21.38 M71.59 58 C78.31 48.41, 86.99 41.59, 99.04 25.13 M72.22 57.93 C82.83 46.34, 93.65 33, 100.1 24.03 M76.73 55.85 C83.67 47.83, 92.54 41.23, 103.9 25.97 M77.92 57.8 C85.57 48.67, 93.09 38.77, 103.61 27.14" stroke="#4285f4" stroke-width="0.5" fill="none"></path><path d="M-1.33 1.34 C9.3 12.32, 17.91 22.7, 19.5 29.36 M-0.08 0.59 C4.92 5.43, 8.56 11.93, 20.37 26.51 M21.09 25.96 C15.6 32.62, 13.58 39.65, -0.93 55.37 M19.73 27.79 C14.35 35.72, 6.1 45.9, 0.6 54.15 M-1.12 54.97 C23.12 54.34, 46.79 54.35, 81.32 55.85 M-0.08 54.09 C33.23 56.07, 66.47 54.78, 81.46 55.07 M81.69 53.69 C91.06 46.03, 99.6 33.32, 103.91 28.4 M82.69 54.43 C89.27 46.27, 94.44 37.83, 103.25 27.69 M103.76 29.11 C95.38 18.31, 91.6 12.85, 80.95 -1.24 M103.01 27.58 C95.32 18.25, 89.7 9.37, 82.75 -0.97 M83.85 0.33 C52.47 1, 21.96 -0.42, -1.99 -0.21 M82.34 0.86 C50.29 1.16, 19.74 1.24, -0.16 -0.11 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(43.96000099182129 26.63374338031099) rotate(0 27.03999900817871 12.5)"><text x="27.03999900817871" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Scope</text></g><g stroke-linecap="round" transform="translate(10 95.63374338031099) rotate(0 53.5 141)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.27 7.46 C-0.36 5.55, 1.8 3.37, 6.03 -0.33 M-0.12 6.52 C1.19 4.85, 2.09 2.25, 5.62 -0.23 M2.19 11.7 C2.1 6.01, 4.61 0.79, 10.98 -0.06 M-1.45 11.62 C1.8 9.31, 5.67 4.75, 10.85 1.24 M-1.4 19.59 C6.36 14, 12.72 7.29, 14.63 3.24 M-1.78 16.7 C3.88 14.75, 7.73 7.59, 15.03 1.74 M2.02 25.07 C8.26 15.97, 18.01 5.15, 19.5 0.19 M-1.49 24.21 C6.71 18.52, 12.87 13.72, 22.44 -1.65 M-3.19 33.44 C6.77 23.07, 14.52 9.09, 24.5 0.7 M1.27 28.61 C7.99 20.33, 13.62 12.35, 27.13 0.44 M1.03 39.1 C6.41 24.82, 20.33 8.8, 34.29 -0.05 M-0.16 37.29 C6.94 26.98, 13.2 19.5, 33.37 -1.35 M3.92 40.75 C4.6 37.2, 18.74 26.05, 33.14 -2.58 M-0.8 42.28 C12.61 27.62, 22.47 14.27, 36.95 0.74 M-1 48.61 C10.47 41.54, 14.62 27.6, 41.15 -4.13 M0.52 47.97 C11.77 33.89, 20.46 22.27, 40.9 -0.94 M-0.37 52.19 C18.16 38.77, 33.54 12.83, 48.02 -3.67 M0.22 55.33 C12.13 42.17, 23.92 26.56, 48.81 2.1 M-3.26 63.27 C9.41 42.33, 27.54 26.18, 53.3 -2.89 M-0.76 61.47 C17.57 40.88, 36.94 19.66, 52.5 -2.06 M-1.51 67.68 C19.16 40.23, 42.79 15.67, 56.11 -3.17 M-1.88 67.86 C24.4 42.71, 47.82 15.74, 57.31 1.77 M-0.78 72.5 C22.53 48.87, 40.83 28.82, 63.43 1.35 M1.57 72.05 C18.86 51.82, 38.12 29.82, 61.86 -0.62 M-3.47 81.37 C10.17 58.69, 26.71 47.17, 71.85 2.84 M-1.06 79.47 C23.82 53.96, 47.98 24.47, 67.27 -1.29 M-1.12 86.2 C20.36 68.51, 35.28 45.66, 75.77 2.74 M-0.65 83.67 C19 57.13, 43.32 32.23, 72.94 1.26 M-0.69 94.19 C25.9 59.04, 53.2 30.23, 81.21 -1.23 M0.96 89.78 C25.71 58.63, 53.03 25.7, 77.78 1.66 M-0.96 95.56 C23.18 64.68, 48.32 40.59, 82.02 -0.06 M-1.99 98.82 C25.62 65.09, 56.55 32.35, 83.96 -0.84 M0.53 102.8 C29.39 70.49, 66.06 29.58, 89.65 -2.45 M1.4 103.38 C18.61 82.8, 38.37 63.46, 90.17 1.1 M0.47 109.96 C25.2 85.24, 45.64 57.26, 93.4 -3.86 M-0.82 111.47 C32.57 73.02, 65.7 36.58, 95.36 -1.55 M-2.59 116.35 C34.12 79.59, 69.33 36.43, 98.14 0.57 M-0.3 114.64 C34.13 74.06, 69.74 35.08, 100.01 1.27 M-2.52 121.59 C27.15 93.71, 51.24 60.61, 108.61 -1.03 M0.8 123.6 C31.89 84.33, 58.98 50.3, 105.86 -1.77 M-2 125.28 C32.94 94.77, 64.16 55.03, 109.16 0.03 M0.94 128.4 C36.75 81.95, 75.22 38.76, 111.18 2.4 M-3.49 134.35 C37.46 93.03, 70.98 44.71, 106.65 4.92 M-0.3 134.2 C34.26 96.69, 67.17 60.09, 109.19 7.66 M-0.18 138.23 C33.31 99.15, 69.8 59.15, 108.12 13.87 M-1.64 141.03 C25.08 113.23, 48.29 84.8, 109.2 15.77 M-0.45 148.66 C39.33 94.31, 83.76 47.04, 112.51 18.88 M-1.05 144 C30.9 104.44, 65.54 66.44, 107.84 21.57 M1.93 154.63 C28.84 115.95, 65.44 84.76, 107 23.22 M1.53 152.87 C28.87 117.89, 58.17 83.98, 108.92 25.05 M3.39 162.18 C39.14 113.53, 73.18 70.34, 108 32.71 M-0.76 160.24 C25.38 133.78, 49.4 107.84, 107.87 31.04 M-0.46 161.63 C30.26 124.24, 62.58 87.85, 112.77 39.46 M-1.11 165.29 C35.86 122.01, 72.63 83.55, 110.93 37.47 M2.3 174.83 C34.55 126.62, 72.13 89.82, 113.17 40.85 M1.46 169.62 C36.76 124.44, 76.84 81.36, 108.32 42.92 M-0.63 174.91 C28.04 146.69, 52.79 120.39, 111.24 47.29 M1.17 177.39 C31.47 144.33, 58.56 112.57, 109.4 50.78 M0.08 185.27 C37.99 139.68, 71.66 104.74, 112.23 57.46 M-1.22 182.9 C36.44 136.65, 73 93.43, 111.15 57.07 M2.96 191.37 C25.03 157.05, 50.89 129.36, 109.66 65.6 M0.65 190.78 C30.2 155.51, 56.08 123.06, 110.73 62.18 M-3.29 195.92 C37.09 155.39, 68.23 122.24, 108.89 69.2 M-0.71 195.79 C37.08 156.1, 73.5 114.75, 108.57 67.09 M1.33 202.18 C23.03 177.76, 46.24 147.71, 108.86 72.06 M1.86 202.55 C43.56 151.55, 85.01 99.64, 109.6 76.92 M3.64 205.68 C28.8 173.27, 55.71 140.34, 109.71 83.99 M1.32 205.78 C34.24 166, 68.34 127.91, 110.37 81.1 M3.05 213.25 C37.04 167.83, 76.21 128.89, 105.79 88.08 M1.6 213.82 C25.09 186.32, 51.7 156.68, 111.58 89.22 M3.18 218.74 C38.85 177.01, 77.8 126.25, 110.7 95.98 M0.79 220.86 C18.75 193.23, 43.28 168.45, 110.58 94.69 M-3.17 226.26 C38.41 181.95, 73 143.62, 108.9 99.58 M-0.42 226.69 C43.34 179.92, 84.49 129.9, 108.51 99.06 M-0.91 233.48 C22.79 200.34, 53.58 167.87, 109.43 106.1 M1.85 232.49 C42.08 185.15, 84.9 136.34, 107.5 107.47 M-1.13 239.35 C39.72 192.12, 73.94 147.63, 105.52 113.73 M1.74 237.02 C24.43 209.86, 49.38 186, 109.82 112.94 M-3.31 247.09 C30.27 203.09, 66.97 164.57, 107.61 119 M0.92 244.17 C35.96 201.59, 72.86 162.11, 110.34 116.05 M-3.77 247.95 C24.82 225.54, 43.13 196.18, 112.4 123.93 M-0.35 251.17 C32.81 212.48, 64.28 171.59, 109.14 124.81 M-2.57 252.47 C24.36 225.97, 55.82 199.46, 110.44 127.85 M1.34 256.36 C42.22 206.65, 82.01 160.89, 110.55 130.78 M-2.56 265.72 C31.42 226.08, 67.22 189.08, 107.86 138.36 M1.08 262.97 C24.73 233.7, 44.2 208.07, 108.41 136.67 M-1.73 271.04 C27.49 242.13, 49.34 215.69, 109.98 139.08 M0.69 267.31 C22.02 237.82, 48.26 211.22, 109.18 144.53 M-3.46 273.08 C43.18 231.15, 80.43 181.18, 106.35 144.91 M-1.94 274.31 C26.52 242.59, 56.02 207.46, 108.45 147.5 M-0.97 281.47 C40.74 235.82, 78.37 193.84, 111.76 153.32 M-1.85 281.75 C40.01 233.04, 76.85 191.54, 107.5 153.63 M1.72 283.91 C35.22 243.59, 67.85 203.62, 109.84 160.02 M3.54 285.75 C26.18 257.94, 45.67 233.94, 108.35 162.03 M4.84 287.61 C37.78 249.98, 65.79 214.29, 106.82 170.02 M8.98 282.83 C26.8 258.26, 50.46 231.57, 111.06 166.45 M13.25 287.35 C44.19 250.81, 68.85 218.51, 107.13 173.34 M13.27 282.37 C47.77 244.04, 83.38 206.1, 108.79 171.49 M17.27 283.16 C51.98 242.36, 83.61 210.52, 106.39 176.32 M19.6 284.84 C51.28 249.45, 82.58 212.35, 108.33 180.35 M19.81 286.37 C45.45 263.22, 60.98 239.09, 108.49 184.79 M22.18 284.33 C56.06 246.81, 89.07 205.88, 110.66 186.6 M28.64 286.56 C60.62 252.67, 87.15 218.49, 109.16 187.89 M29.99 284.03 C53.57 256.23, 79.6 229.14, 110 190.42 M30.11 286.62 C58.96 260.47, 74.75 235.89, 109.73 201.03 M35.99 283.74 C52.86 260.36, 73.15 240.87, 111.13 198.1 M37.42 285.71 C62.43 259.05, 90.27 229.52, 108.7 201.65 M40.96 283.37 C65.73 252.07, 91.73 219.48, 108.39 202.28 M48.37 282.28 C61.72 269.09, 73.66 256.34, 110.81 208.47 M46.65 282.44 C66.99 255.58, 95.28 228.12, 110.28 209.72 M52.92 281.8 C63.61 264.45, 83.59 241.06, 112.03 216.76 M50.94 284.34 C72.71 257.44, 96.55 231.82, 107.99 217.04 M58.29 280.01 C69.2 269.12, 75.52 255.59, 107.19 222.03 M56.36 284.05 C69.54 266.62, 85.62 249.84, 110.46 222.94 M57.91 286.21 C75.07 267.18, 85.74 255.93, 111.71 231.13 M58.59 283.93 C75.47 264.45, 93.64 244.77, 109.63 227.78 M63.08 282.97 C74.71 272.47, 85.55 262.42, 113.18 237.88 M65.59 281.93 C78.27 267.22, 96.02 247.98, 107.58 233.74 M68.69 285.13 C83.89 271.6, 97.39 260.26, 112.44 238.42 M70.82 283.12 C80.25 275.33, 86.05 265.89, 109 240.63 M77.46 282.83 C87.48 272.6, 99.46 263.62, 108.55 246.42 M77.03 283.17 C85.67 271.39, 96.96 262.88, 109.79 245.6 M81.72 284.47 C88.77 276.2, 94.37 272.63, 106.43 252.82 M81.47 283.88 C87.87 277.01, 93.32 267.95, 108.07 251.43 M87.64 283.75 C92.04 275.9, 95.26 269.32, 106.6 260.83 M87.65 284.63 C91.94 277.16, 97.89 268.11, 109.51 258.01 M88.97 286.64 C98.36 272.38, 103.25 269.21, 112.75 261.72 M90.61 285.94 C98.27 279, 102.48 272.34, 110.38 262.56 M99.17 286.13 C99.3 278.12, 108.64 276.3, 108.87 273.63 M96.77 284.81 C101.47 279.85, 107.61 272.76, 110.04 271.3 M102.35 283.34 C105.83 283.48, 103.61 280.98, 108.63 277.69 M103.7 283.47 C104.53 281.35, 107.66 279.23, 108.53 276.22" stroke="#4285f4" stroke-width="0.5" fill="none"></path><path d="M-0.01 1.63 C30.75 0.19, 54.54 -3.65, 107.58 0.93 M1.98 -1.82 C40.52 2.19, 85.96 2.6, 106.61 0.31 M107.93 -1.98 C110.58 105.7, 109.13 214.81, 109.95 279.26 M105.89 -0.39 C110.02 60.25, 110.41 123.32, 106.81 280.59 M105.9 283.06 C62.69 281.86, 25.37 282.41, 2.57 283.72 M108.34 280.86 C74.97 281.35, 40.72 282.22, -0.93 282.76 M-0.08 280.32 C0.62 193.36, -4.1 110.55, 0.4 0.44 M-0.33 280.61 C-3.49 175.24, -0.88 70.28, -0.34 -0.37" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(20.860000610351562 199.133743380311) rotate(0 42.63999938964844 37.5)"><text x="42.63999938964844" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Define </text><text x="42.63999938964844" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">the use </text><text x="42.63999938964844" y="50" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">case</text></g><g stroke-linecap="round" transform="translate(148.5 93.63374338031099) rotate(0 53.5 141)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.3 6.78 C1.52 5.73, 2.46 1.09, 6.36 1.26 M0.12 6.65 C1.28 3.82, 3.01 1.79, 5.3 -0.39 M-0.53 10.87 C1.34 12.29, 6.59 7.96, 11.88 0.4 M1.43 10.49 C3.44 7.86, 7.1 3.92, 11.11 0.27 M0.53 17.99 C1.2 17.24, 6.57 10.65, 12.12 -3.58 M-1.27 19.77 C5.57 12.83, 8.24 9.68, 15.49 0.54 M2.13 26.14 C10.73 11.75, 15.36 5.27, 22.49 -2.57 M-1.44 22.95 C5.69 19.12, 13.35 11.06, 20.27 1.52 M0.98 31.89 C7.38 18.66, 19.65 13.13, 28.14 -0.08 M1.73 29.73 C7.22 24.34, 13.73 14.62, 27.31 -1.67 M1.14 40.11 C4.6 24.83, 12.6 15.3, 32.76 -3.45 M1.31 37.54 C7.13 29.31, 14.15 22.2, 30.11 -1.86 M-1.08 38.95 C6.2 33.14, 16.52 18.36, 40.66 3.27 M-0.48 42.9 C11.16 31.06, 18.99 20.45, 35.19 -0.29 M-0.14 47.13 C20.08 27.71, 35.5 8.38, 40.97 2.28 M0.26 49.22 C11.43 35.4, 24.5 24.19, 41.84 0.92 M2.33 57.6 C10.36 38.6, 30.33 19.34, 45.41 1.11 M0.18 54.99 C18.86 32.34, 37.71 11.25, 47.36 -1.73 M3.33 64.62 C15.73 42.13, 32.76 22.98, 56.57 -0.46 M1.97 61.35 C17.45 41.42, 33.97 20.75, 54.8 -1.66 M-1.98 63.49 C21.59 38.26, 43.58 17.97, 57.6 0.63 M1.4 68.26 C19.07 44.11, 38.73 23.49, 58.25 1.37 M-3.23 73.76 C17.54 53.43, 40.44 27.84, 60.53 1.73 M-0.11 74.29 C19.07 49.79, 42.99 22.16, 62.56 0.65 M2.24 82.54 C21.84 58.21, 40.07 28.81, 71.94 -2.51 M1.05 80.41 C22.12 55.47, 42.37 32.38, 68.58 2.12 M0.89 84.2 C30.54 52.12, 53.98 27.48, 77.3 2.78 M1.74 86.15 C29 54.41, 55.42 24.92, 72.95 -0.19 M0.81 91.4 C23.28 67.13, 48.52 37.71, 78.64 -0.16 M1.33 93.19 C27.23 60.66, 54.54 31.26, 81.31 -0.63 M-0.75 94.85 C20.58 67.5, 50.35 46.21, 86.85 1.1 M0.81 97.53 C24.84 71.98, 48.49 40.94, 84.07 1.56 M-0.31 102.51 C30.86 63.32, 59.3 29.5, 87.41 -3.65 M-0.69 105.31 C26.88 71.64, 55.4 39.87, 89.64 1.74 M-3.14 106.89 C35.38 71.17, 73.01 27.93, 96.64 -0.4 M-1.37 108.53 C35.6 65.96, 70.73 25.45, 96.23 1.38 M0.34 116.77 C33.17 78.37, 68.51 33.74, 103.46 -3.81 M-1.67 117.28 C34.18 72.45, 69.38 30.85, 101.03 -0.43 M0.29 120.22 C30.99 85.31, 63.19 50.43, 109.62 -2.3 M0.99 123.26 C33.94 84.24, 69.71 45.41, 108.03 0.49 M-0.94 124.34 C28.59 95.05, 57.35 62.73, 109.53 -0.72 M-0.7 128.06 C36.85 86.78, 75.14 45.1, 111.22 3.23 M-3.76 130.51 C44.98 86.11, 84.75 30.66, 109.06 7.6 M0.6 134.83 C32.68 98.35, 67.23 59, 109.07 6.19 M-2.37 141.64 C28.49 105.27, 56.02 76.14, 111.28 15.34 M-0.62 140.13 C24.58 114.12, 48.97 87.12, 109.61 14.13 M-1.08 145.92 C34.52 105.09, 77.52 58.66, 108.17 17.96 M0.42 146.09 C25.73 118.22, 51.43 89.61, 109.72 19.42 M-0.64 151.83 C35.23 111.18, 65.73 72.39, 108.94 25.22 M-0.01 151.98 C39.86 103.8, 80.48 57.69, 110.92 26.06 M1.39 155.87 C35.84 113.25, 68.28 75.7, 109.02 36.4 M0.99 158.4 C20.05 131.41, 46.52 106.6, 107.91 33.39 M3.69 165.83 C41.49 118.47, 81.32 76.1, 105.72 40.08 M1.46 163.08 C37.25 122.36, 76.06 77.52, 111.62 40.38 M2.18 168.02 C25.69 144.33, 46.45 116.72, 111.92 41.1 M-0.9 172.61 C39.89 122.64, 79.72 76.83, 110.55 45.09 M-2.4 175.05 C27.65 141.79, 59.58 100.04, 107.69 52.34 M-1.62 174.67 C36.77 138.53, 70.7 99.13, 109.77 52.94 M1.33 180.79 C25.33 151.51, 57.15 119.68, 113.32 53.96 M-0.22 181.57 C20.27 155.82, 45.49 130.28, 111.49 56.48 M2.89 192.16 C28.6 164.17, 46.76 133.14, 110.36 64.66 M-1.09 190.48 C41.74 138.1, 87.22 89.32, 107.62 63.1 M3.06 196.34 C27.15 159.32, 60.85 122.36, 113.18 69.4 M-1 195.15 C37.36 148.65, 78.43 101.85, 110.8 67.3 M-1.17 200.06 C29.8 174.89, 52.99 142.91, 110.78 78.45 M-0.54 201.73 C40.45 158.36, 73.89 115.19, 107.72 74.21 M-0.92 205.33 C24.29 184.32, 49.11 157.78, 106.32 79.09 M-1.03 208.95 C45.64 159.14, 85.31 111.24, 110.16 79.79 M-1.77 212.43 C38.25 171.2, 69.13 122.96, 110.18 90.88 M0.71 211.66 C19.89 185.53, 46.02 159.61, 111.55 86.63 M-0.06 219.68 C41.15 173.46, 77.41 132.07, 109 92.93 M-0.52 221.08 C21.68 192.09, 45.4 162.36, 107.47 95.67 M2.05 222.67 C25.34 200.45, 50.69 169.48, 113.25 95.61 M-1.78 224.5 C43.59 176.54, 82.76 132.12, 110.79 98.46 M-2.33 229.55 C37.27 189.38, 76.22 146.73, 107.02 103.6 M0.55 233.13 C19.61 207.36, 41.54 179.64, 108.9 104.67 M-1.26 236.7 C29.45 210.03, 58.1 173.09, 111.56 115.57 M1.84 238.23 C26.21 208.07, 54.25 177.25, 110.76 110.32 M1.82 239.85 C41.23 198.21, 85.77 149.47, 106.35 115.5 M-1.52 242.71 C35.74 204.73, 69.5 165.69, 111.52 117.53 M3.62 249.7 C27.15 223.67, 47.31 194.61, 110.13 127.9 M-1.01 249.33 C36.06 207.27, 72.06 164.16, 108.98 122.3 M2.1 259.25 C27.93 218.97, 68.97 177.31, 108.45 129.55 M0.49 256.44 C43.78 206.32, 85.86 155.92, 110.69 130.72 M-2.54 259.06 C32.33 223.27, 66.75 181.61, 107.5 132.53 M1.31 261.78 C36.01 223.66, 69.4 184.53, 111.24 134.51 M-0.27 268.92 C38.73 227.13, 73.17 184.57, 109.63 143.92 M0.03 266.66 C21.57 240.41, 46.92 214.24, 107.31 143.22 M2.55 276.95 C34.53 234.61, 63.76 194.21, 106.41 149.11 M0.74 275.55 C20.24 246.34, 44.84 219.4, 110.24 148.05 M-1.25 279.27 C37.84 235.39, 86.04 182.01, 111.66 151.02 M0.14 280.24 C23.53 252.57, 45.38 222.56, 110.54 153.52 M-0.66 285.02 C23.83 252.55, 51.8 222.94, 113.04 161.82 M2.06 285.37 C32.13 251.72, 59.03 218.92, 108.96 161.78 M8.57 285.9 C30.07 258.32, 58.91 229.04, 109.83 166.01 M7.98 282.47 C43.71 242.28, 77.86 205.4, 109.8 168.1 M16.34 280.15 C42.39 256.66, 66.82 223.12, 112.47 176.07 M12.93 282.43 C47.2 248.09, 76.35 210.99, 107.94 173.07 M18.99 282.27 C38.95 253.54, 61.94 227.08, 111.62 175.8 M17.84 281.73 C54.58 242.82, 91.27 202.47, 109.42 178.43 M22.48 281.05 C55.45 246.18, 88.4 217.27, 111.21 183.52 M24.15 285 C53.86 248.11, 85.17 214.55, 107.94 186.75 M26.6 286.56 C50.25 258.66, 73.64 235.47, 111.98 187.82 M29.56 284.42 C52.25 256.98, 74.19 230.83, 107.98 189.74 M30.73 285.14 C52.77 269.22, 67.95 242.21, 109.31 198.59 M33.29 283.32 C48.98 266.29, 65.01 245.04, 110.02 195.7 M42.11 286.43 C56.59 267.47, 68.76 246.33, 108.73 206.73 M39.84 283.63 C53.54 267.74, 67.38 248.72, 109.67 201.78 M41.55 286.34 C54.11 270.11, 68.77 254.78, 110.99 207.43 M44.19 285.38 C58.43 266.86, 74.6 251.72, 110.14 209.75 M47.07 282.8 C71.13 255.91, 95.75 233.61, 113.12 215.43 M50.98 282.97 C61.45 267.97, 75.49 252.72, 110.87 213.76 M58.89 283.05 C73.37 265.34, 87.62 244.96, 107.96 224.71 M54.94 284.9 C69.09 269.04, 79.63 255.2, 110.51 220.53 M60.5 286.84 C72.32 263.27, 90.48 247.33, 105.97 227.59 M61.51 285.55 C77.45 265.34, 95.93 245.37, 108.26 228.92 M66.22 286.19 C79.89 270.44, 94.89 249.66, 110.78 230.36 M65.87 285.37 C79.13 267.91, 92.88 253.13, 110.91 234.13 M70.97 284.44 C88.17 269.61, 100.2 249.65, 112.24 236.63 M70.22 282.46 C86.29 267.97, 98.93 252.5, 109.42 239.48 M74.5 287.18 C85.16 277.84, 93.39 265.08, 111.46 246.53 M75.54 284 C85.6 273.22, 95.54 262.54, 107.38 244.16 M79.18 281.29 C87.98 278.61, 95.31 264.36, 112.39 248.46 M82.83 285.82 C91.42 272.79, 97.82 267.08, 108.18 251.43 M90.19 281.93 C91.94 274.43, 100.97 274.15, 111.57 262.13 M88.81 283.8 C92.24 276.29, 97.86 269.45, 108.22 256.22 M89.34 287.55 C96.86 282.01, 99.63 279.66, 105.72 266.25 M91.28 285.48 C95.25 279.76, 104.21 272.71, 107.98 265.26 M99.11 286.55 C103.41 279.4, 104.73 276.5, 108.88 269.87 M96.86 285.3 C102.55 277.07, 107.38 274.98, 108.72 269.05 M101.98 285 C104.15 279.56, 106.03 278.41, 111.19 278 M102.3 284.59 C104.26 280.84, 106.47 278.13, 108.91 276.76" stroke="#ffc9c9" stroke-width="0.5" fill="none"></path><path d="M2.47 -0.29 C32.21 -5.84, 57.11 -1.83, 110.27 -1.78 M-0.64 -0.69 C23.37 -2.93, 46.2 -1.54, 108.16 0.29 M105.2 -2.79 C109.02 64.68, 111.06 137.23, 106.12 283.07 M106.96 -0.22 C109.66 75.55, 110.91 148.22, 107.29 280.8 M107.93 280.28 C83.78 286.61, 55.21 287.65, 3.79 284.07 M106.49 282.77 C72.21 284.8, 32.69 284.5, 1.13 280.08 M1.69 279.09 C-1.08 181.15, 0.38 81.43, 1.49 0.3 M0.33 282.7 C-3.62 225.89, -3.34 167.58, 0.09 1.25" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(156.5 159.633743380311) rotate(0 45.5 75)"><text x="45.5" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Choose </text><text x="45.5" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">an </text><text x="45.5" y="50" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">existing </text><text x="45.5" y="75" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">model or </text><text x="45.5" y="100" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">pretrain </text><text x="45.5" y="125" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">your own</text></g><g stroke-linecap="round"><g transform="translate(154.042613345895 10.827762493284808) rotate(0 51.4023886623346 28.38201513251579)" fill-rule="evenodd"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M2.69 3.56 C3.26 2.06, 4.32 1.25, 5.01 0.6 M2.19 3.42 C3.04 2.6, 4.02 1.52, 4.82 0.46 M4.61 7.34 C5.82 5.02, 8.88 1.45, 10.08 0.35 M4.99 7.11 C6.54 5.06, 8.04 2.39, 10.99 -0.33 M7.85 10.8 C10.2 6.44, 12.42 4.01, 15.5 1.6 M7.19 10 C10.68 6.14, 13.23 3.59, 16.09 0.82 M10.77 14.51 C14.9 8.04, 19.37 3.71, 19.95 -0.02 M9.63 13.51 C12.65 10.2, 16.55 5.62, 21.09 -0.13 M13.79 17.89 C18.43 9.5, 23.52 5.66, 28.16 -0.45 M12.34 15.39 C15.42 11.19, 20.82 8.23, 26.7 0.64 M15.89 19.21 C21.36 15.84, 24.99 7.84, 30.92 1.73 M14.72 19.28 C20.73 11.8, 25.97 5.49, 31.24 -1.04 M16.36 24.73 C23.66 16.97, 30.95 9.62, 36.49 1.91 M16.44 22.15 C24.24 15.31, 32.07 6.31, 37.12 0.23 M18.3 24.93 C28.87 15.75, 36.18 7.24, 43.08 1.55 M19.57 26.59 C27.29 17.99, 35.4 7.66, 43.22 -1.1 M19.97 31.41 C30.06 18.4, 38.74 7.31, 47.88 -0.26 M21.99 29.23 C29.59 20.98, 37.35 12.59, 48.34 -0.27 M3.6 59.29 C17.54 40, 35.31 21.86, 54.88 0.66 M2.46 56.95 C16.03 42.44, 29.43 27.21, 53.2 -0.92 M7.16 58.04 C24.87 38.95, 42.83 20.64, 60.04 1.14 M6.64 57.44 C28.04 35.74, 47.19 11.28, 57.97 0.11 M13.71 58.78 C28.87 42.27, 45.25 23.82, 63.13 -1.94 M12.7 58.23 C26.2 42.48, 38.87 28.53, 64.24 0.05 M17.74 58.04 C29.42 46.52, 41.56 33.62, 68.92 -0.04 M17.91 58.25 C34.99 38.67, 53.89 17.69, 68.51 -0.54 M24.02 57.96 C34.92 44.81, 47.89 30.85, 74.94 -1.54 M23.73 57.73 C39.7 39.47, 54.36 21.67, 74.25 -0.53 M28.85 57.81 C47.03 34.89, 65.86 13.84, 80.73 -0.18 M29.29 57.5 C45.51 38.14, 61.21 20.03, 79.32 1.03 M35.75 57.44 C43.02 44.43, 56.15 34.97, 82.31 1.87 M35.41 58.18 C52.9 37.11, 70.85 17.32, 82.73 1.65 M40.81 56.84 C54.85 41.4, 72.25 21.18, 88 6.59 M40.08 57.49 C50.34 46.59, 59.82 34.76, 86.71 3.69 M44.36 59.57 C61.91 37.57, 77.08 20.11, 89.55 8.28 M44.48 57.44 C56.68 43.98, 69.23 28.29, 88.08 8.28 M48.23 56.35 C63.36 44.07, 75.51 29.73, 91.39 13.11 M50.47 57.64 C59.58 46.72, 70.73 35.08, 91.75 10.65 M55.54 56.46 C62.68 47.57, 72.46 39.78, 95.08 14.39 M56.57 58.49 C64.98 48.86, 71.7 38.6, 93.44 15.1 M59.92 59.33 C73.83 40.74, 90.13 25.53, 94.48 17.23 M61.5 58.48 C70.09 46.37, 80.9 34.39, 97.06 17.5 M64.6 58.72 C76.16 43.65, 88.31 30.12, 99.64 19.17 M65.49 58.17 C74.35 50.34, 81.45 40.84, 98.89 21.55 M70.97 58.51 C83.32 47.75, 89.78 35.62, 99.18 23.06 M71.1 57.69 C78.13 51.62, 84.84 44.4, 100.2 23.48 M75.06 60.44 C88.69 45.93, 97.32 33.75, 104.25 25.63 M75.94 58.22 C85.99 48.37, 93.55 36.5, 103.43 28.4" stroke="#ffc9c9" stroke-width="0.5" fill="none"></path><path d="M-1.14 1.33 C7.72 7.74, 11.81 18.05, 20.47 28.22 M0.47 0.52 C8.44 9.92, 15.45 21.29, 20.91 27.38 M18.9 26.87 C13.6 37.37, 9.49 44.06, -0.99 57.59 M20.84 28.35 C14.28 36.24, 8.95 45.85, 0.47 55.91 M1.72 55.25 C21.89 57.73, 42.7 55.7, 83.46 54.04 M0.35 56.81 C20.53 54.99, 41.71 54.99, 82.62 55.17 M83.96 56.66 C87.43 50.08, 92.05 44.84, 101.22 26.24 M82.1 55.11 C87.1 48.71, 92.91 40.07, 103.95 28.75 M102.38 28.38 C99.26 19.28, 92.79 12.22, 80.72 -0.55 M102.99 27.55 C95.62 16.02, 87.03 4.92, 82.01 0.61 M82.78 0.3 C60.23 -0.79, 40.05 1.05, -0.68 1.05 M82.92 0.76 C57.13 -0.82, 34.11 -1.59, -0.52 0.22 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(179.24317609495301 28.159471337798095) rotate(0 30.31999969482422 12.5)"><text x="30.31999969482422" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Select</text></g><g stroke-linecap="round" transform="translate(438.2560381273497 94.44977353681998) rotate(0 53.5 141)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-0.49 6.42 C-0.23 3.92, 0.8 3.39, 4.53 1.46 M-0.43 6.21 C0.59 4.45, 2.35 3.25, 4.87 0.58 M-2.2 13.59 C0.98 6.26, 7.87 2.78, 13.55 -2.56 M-0.18 10.5 C3.28 7.59, 9.69 1.62, 11.14 1.03 M1.26 21.66 C4.63 14.19, 14.42 0.4, 17.29 1.92 M-1.49 17.85 C5.77 14.1, 8.21 9.91, 17.59 -1.21 M-2.54 27.89 C9.28 14.32, 18.2 7.05, 17.56 2.81 M2.04 25.07 C6.33 15.38, 15.16 7.49, 21.55 -0.39 M-1.43 29.3 C12.68 18.71, 16.89 5.45, 27.39 1.06 M-1.81 30.37 C6.95 23.17, 13.52 17.82, 27.99 -0.89 M-2.34 34.44 C7.38 30.59, 13.8 22.22, 29.01 -3.55 M-1.56 36.21 C11.79 23.28, 26.05 9.27, 31.53 -1.75 M3.02 45.11 C9.04 30.15, 13.01 25.62, 38.3 4 M1.34 41.69 C10.23 31.13, 22.56 14.67, 36.74 0.19 M1.3 45.56 C17.37 27.26, 34.22 13.96, 43.04 2.93 M0.11 47.34 C16.93 28.02, 34.66 11.3, 40.94 -1.33 M-0.98 56.29 C14.65 41.03, 23.72 31.41, 50.68 1.7 M0.69 56.28 C11.31 40.8, 21.22 28.65, 46.44 -1.38 M-1.62 62.98 C24.15 41.01, 45.28 12.07, 50.56 2.97 M2 62.8 C10.55 49.14, 21.22 37.01, 51.27 0.58 M-1.18 70.31 C22.35 40.09, 38.08 19.13, 61.7 -3.37 M-1.95 65.58 C19.82 44.06, 41.48 20.65, 57.45 1.24 M0.07 75.15 C15.46 52.58, 36.02 32.27, 63 -3.23 M1.46 72.43 C25.39 43.6, 48.42 15.03, 65.73 -2.08 M-2.85 79.87 C16.19 64.73, 26.21 47.83, 65.02 2.74 M-1.01 81.07 C13.05 63.53, 30.32 45.62, 67.87 1.12 M-1.97 82.04 C17.48 65.63, 34.4 47.31, 72.25 -3.95 M1.61 84.32 C30.69 49.72, 58.08 17.33, 73.32 -1.08 M-0.72 91.45 C25.08 69.05, 40.95 47.28, 82.81 -2.51 M0.8 90.68 C20.21 68.76, 38.93 45.34, 77.56 1.59 M-4.23 95.85 C19.05 77.95, 35.45 52.34, 82.74 0.02 M-1.37 97.53 C17.04 78.56, 34.46 60.33, 84.77 -1.98 M-0.39 106.24 C23.87 74.54, 45 49.35, 93.73 1.85 M-0.76 103.89 C34.08 64.38, 67.83 26.82, 88.13 0.25 M3.26 106.05 C38.81 69.84, 73 22.55, 95.38 3.39 M0.45 111.16 C31.07 73.96, 61.42 38.54, 96.55 -0.06 M-2.94 112.96 C27.7 83.21, 52.51 52.43, 96.95 0.27 M-0.22 116.39 C23.32 88.26, 45.86 62.61, 98.92 0.91 M1.02 123.85 C37.98 80.24, 74.05 40.68, 107.59 -3.64 M-1.24 120.78 C37.16 79.71, 75.65 34.29, 106.89 -0.38 M2.39 128.57 C23.74 93.58, 47.16 63.44, 110.16 -1.01 M0.99 126.91 C41.75 77.81, 84.92 30.05, 109.09 3.94 M-1.29 131.2 C41.13 94.55, 73.78 49.92, 106.06 4.96 M-0.32 135.48 C44.05 81.8, 86.3 33.99, 108.56 6.59 M0.82 139.28 C40.56 93.88, 83.13 45.58, 110.96 13.01 M1.17 142.13 C35.99 99.87, 71.45 58.67, 110.92 13.2 M2.49 145.57 C45.8 100.45, 87.41 48.44, 108.48 22.61 M-0.95 146.59 C32.36 107.68, 68.74 71.04, 110.57 20.52 M-3.88 153.06 C33.17 115.34, 59.82 89.26, 112.55 27.47 M-1.61 153.27 C23.43 123.92, 45.92 97.51, 109.54 25.46 M-1.63 156.68 C32.58 114.57, 68.98 77.43, 106.37 36.76 M-2.17 160.44 C44.58 111.77, 89.25 60.17, 108.99 33.84 M-2.81 164.61 C21.76 139.2, 52.57 109.87, 108.09 40.84 M1.13 165.03 C40.09 119.23, 81.57 71.69, 111.32 37.57 M2.82 171.48 C33.48 135.64, 68.8 94.97, 106.48 44.35 M0.69 171.36 C36.06 127.35, 73.31 84.33, 108.4 43.25 M1.44 180.14 C48.79 130.4, 84.5 78.24, 110.58 47.84 M-0.37 176.38 C41.77 130.17, 79.91 84.34, 107.7 49.35 M2.86 186.67 C41.94 134.87, 79.32 84.62, 112.72 53.11 M0.07 182.19 C31.8 145.03, 61 110.26, 107.77 54.97 M2.15 186.12 C39.52 144.44, 78.42 103.1, 107.52 60.42 M1.2 189.27 C41.5 143.56, 84.8 95.34, 109.84 64.63 M-1.35 193.73 C24.27 165.48, 55.35 135.64, 109.51 66.25 M-1.18 193.26 C37.13 149.3, 74.96 109.85, 107.85 69.45 M-0.97 202.25 C40.75 151.23, 80.43 106.75, 112.9 72.29 M0.88 201.66 C21.77 174.41, 44.56 150.65, 108.71 75.74 M2.85 203.62 C36.55 162.4, 76.61 116.59, 109.11 83.22 M1.56 207.14 C29.28 173.65, 58 136.46, 110.44 82.16 M2.34 214 C44.75 167.88, 80.9 120.92, 105.88 87.92 M1.52 212 C21.8 186.07, 45.41 162.88, 109.65 88.52 M-0.03 223.54 C40.72 177.13, 75.46 133.39, 106.25 96.74 M-2.01 221.43 C44.3 170.68, 88.66 121.1, 109.1 92.54 M3.5 225.58 C28.46 197.68, 50.31 169.93, 110.14 99.25 M0.32 224.25 C28.44 195.03, 55.5 163.51, 107.77 99.05 M-3.01 229.96 C31.5 197.47, 55.24 169.57, 106.17 105.26 M1.51 233.7 C32.27 190.05, 71.13 147.75, 109.14 104.55 M-1.59 236.7 C27.92 204.62, 63.45 169.63, 113.18 110.52 M0.28 236.62 C30.11 199.22, 60.75 163.46, 107.27 110.42 M3.41 245.08 C40.83 201.8, 80.88 153.94, 111.3 118.01 M1.34 242.03 C43.79 198.32, 84.84 146.67, 110.31 119.66 M2.85 251.32 C33.59 207.95, 70.11 170.84, 108.97 127.17 M1.47 250.32 C20.43 224.78, 47.37 196.06, 108.06 125.69 M1.9 253.87 C36.48 206.52, 80.77 166.23, 112.55 131.68 M1.07 254.02 C24.07 226.84, 48.36 199.74, 110.07 129.56 M-0.97 258.65 C28.26 231.7, 52.89 203.42, 110.03 136.42 M-0.32 262.55 C27.63 231.79, 53.35 202.48, 109.86 136.46 M3.62 268.79 C42.28 222.09, 78.61 172.24, 112.67 139.25 M2.06 267.48 C42.6 216.77, 88.28 167.97, 111.01 140.97 M3.71 277.65 C32.52 234.66, 64.46 202.9, 110.01 152.23 M-1.52 275.02 C29.74 239.26, 59.69 206.17, 110.75 147.81 M-0.42 282.55 C31.7 237.94, 68.43 201.8, 112.9 150.92 M-1.23 279.26 C38.73 234.44, 78.88 189.39, 107.42 156.59 M0.77 287.77 C33.3 247.96, 64.8 217.4, 107.09 160.06 M1.83 284.67 C35.52 245.66, 65.71 208.8, 110.6 159.07 M11.13 280.06 C31.17 258.97, 47.65 236.77, 108.99 166.64 M9.23 285.12 C39.17 248.92, 71.98 215.51, 109.36 167.63 M15.2 282.67 C37.72 259.33, 58.83 233.61, 111.26 173.62 M12.02 285.41 C44.62 252.45, 74.38 215.88, 110.36 172.57 M17.04 283.05 C48.64 243.65, 83.79 207.08, 109.85 181.14 M18.13 284.44 C46.74 248.27, 74.7 214.31, 109.33 178.8 M21.37 284.88 C51.99 248.69, 90.01 210.2, 107.02 183.87 M21.99 282.76 C49.09 255.04, 78.46 222.93, 110.69 186.64 M27.83 281.02 C52.72 247.67, 84.56 215.34, 112.91 192.63 M27.23 283.06 C63.51 246.86, 92.9 210.53, 109.55 189.04 M30.7 286.6 C60.34 257.61, 80.4 237.06, 113.35 195.52 M34.98 282.68 C58.92 260.16, 77.18 233.91, 108.04 196.12 M37.17 279.92 C57.99 256.18, 85.61 236.07, 111.41 203.56 M38.61 282.07 C60.5 261.82, 75.88 240.35, 109.35 204.34 M43.09 283.54 C68.12 254.95, 90.21 234.77, 106.44 208.03 M43.97 285.37 C62.16 263.61, 81.01 239.31, 109.27 209.33 M50.57 281.97 C72.76 260.57, 94.69 239.27, 113.09 217.65 M51.48 285.57 C70.66 258.88, 94.02 233.15, 107.76 214.62 M54.98 282.93 C71.03 270.34, 89.14 250.08, 106.93 224.37 M55.68 285.3 C72.24 260.53, 89.99 242.01, 110.99 220.86 M64.01 282.62 C70.27 269.82, 82.82 259.32, 112.2 228.35 M60.75 285.61 C68.08 271.95, 80.1 262.64, 107.62 226.36 M67.27 287.46 C79.74 267.36, 94.91 249.67, 107.35 235.74 M66.61 283.16 C81.16 268.46, 91.31 255.17, 110.89 232.3 M68 283.09 C86.99 270.77, 101.56 251.7, 108.15 239.89 M69.13 282.78 C80.87 274.31, 92.21 262.34, 110.15 239.51 M77.37 287.35 C90.12 271.72, 100 259.56, 106.66 242.61 M74.97 281.92 C87.2 269.18, 101.67 254.66, 110.39 245.22 M82.19 287.33 C90.1 277.43, 102.59 261.89, 112.87 251.96 M81.73 283.18 C88.51 274.64, 97.14 265.59, 110.34 252.28 M87.2 284.32 C98.6 278.18, 103.38 268, 106.38 259.19 M88.75 282.78 C96.36 274.79, 101.13 266.1, 110.7 257.7 M90.76 286.82 C99.08 281.09, 104.99 267.63, 110.1 268.53 M93.39 283.12 C95.76 280.69, 98.64 275.4, 108.25 265.88 M95.43 283.58 C99.9 275.36, 104.36 270.7, 112.81 270.41 M97.7 285.06 C100.43 279.9, 105.38 273.24, 111.23 269.42 M104.58 284.32 C104.44 282.62, 106.36 277.83, 107.72 277.7 M103.76 284.67 C104.36 282.43, 106.59 279.17, 108.53 277.05" stroke="#f08c00" stroke-width="0.5" fill="none"></path><path d="M-1.7 1.41 C39.68 2.27, 79.95 3.18, 105.04 0.9 M1.35 -1.72 C26.68 -1.27, 53.45 0.69, 107.84 -0.63 M103.97 -1.69 C102.39 64.32, 103.58 133.22, 104.71 283.35 M106.8 0 C104.16 91.9, 105.45 184.37, 107.72 283.5 M103.55 283.44 C75.86 277.48, 37.5 279.25, -0.32 282.31 M107.87 282.43 C69.96 283.74, 30.39 281.83, -1.73 281.01 M0.98 282.89 C-2.58 198.55, -0.74 114.56, 0.78 -2.82 M-0.17 282.23 C-0.65 217.23, -1.29 149.58, -0.15 0.76" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(447.01603263418565 222.94977353681998) rotate(0 44.74000549316406 12.5)"><text x="44.74000549316406" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Evaluate</text></g><g stroke-linecap="round"><g transform="translate(282.5851846208129 15.537810308494954) rotate(0 129.12355090501364 25.841821744584877)" fill-rule="evenodd"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M2.45 3.63 C3.03 2.47, 4.71 0.9, 4.83 0.71 M2.29 3.49 C3.34 2.29, 4.42 1.45, 4.85 0.29 M4.72 5.7 C6.99 4.53, 7.6 2.2, 9.86 -0.76 M5.61 6.12 C7.26 4.01, 8.24 2.68, 10.76 -0.24 M7.34 10.5 C8.76 6.12, 12.71 4.4, 15.47 -0.46 M7.81 9.95 C9.79 6.43, 11.42 4.08, 16.09 0.76 M8.91 13.2 C14.75 9.76, 18.44 3.7, 20.53 0.95 M9.91 12.03 C13.01 9.33, 16.68 5.54, 21.88 0.23 M13.57 17.12 C16.2 13.73, 20.77 6.96, 25.09 0.52 M13 15.92 C15.31 11.57, 18.27 8.61, 25.98 -0.02 M16.35 19.42 C22.54 13.09, 25.07 7.54, 31.45 0.31 M15.82 17.89 C21.15 10.83, 28.8 3.4, 31.59 -0.51 M19.77 20.7 C23.07 15.91, 29.23 6.23, 35.55 2.25 M17.19 22.62 C24.46 13.91, 33.54 5.9, 36.43 0.02 M19.23 25.06 C30.59 13.85, 38.09 7.08, 43.19 -1.83 M21.01 25.74 C25.15 19.89, 29.83 13.64, 42.56 -0.16 M1.65 52.88 C17.82 32.87, 36.15 16.06, 47.21 1.54 M1.39 52.12 C14.76 38.09, 25.44 25.12, 47.98 -0.46 M5.11 55.17 C18.95 37.62, 33.92 20.75, 51.2 -1.07 M6.51 53.94 C24.42 33.14, 41.85 12.23, 52.59 -0.73 M13.68 51.79 C21.24 39.53, 34.46 28.42, 58.78 1.52 M11.68 52.73 C23.65 39.01, 35.89 24.55, 57.75 0 M16.32 54.55 C32.51 35.91, 43.87 21.3, 65.32 0.58 M16.54 54.16 C28.45 39.66, 40.69 24, 64.23 -1.2 M21.8 51.36 C33.25 39.71, 44.06 25.76, 67.21 -0.97 M22.2 53.94 C36.05 37.13, 48.84 23.65, 69.73 0.02 M27.87 53.74 C46.59 34.53, 63.37 14.79, 73.62 -1.15 M28.67 53.16 C41.43 36.56, 58.16 19.36, 74.89 0.6 M33.09 52.31 C42.44 43.6, 52.51 30.85, 79.72 0.68 M32.89 53.43 C50.69 33.75, 66.68 14.83, 78.78 -0.69 M37.99 52.32 C47.41 41.05, 58.87 28.57, 86.44 -0.78 M38.25 54.19 C53.55 35.15, 70.77 15.81, 84.9 -0.03 M44.88 53.12 C60.59 32.98, 76.97 16.28, 89.75 -1.17 M44.55 51.96 C55.62 39.94, 65.88 27.52, 90.65 0.74 M47.11 51.67 C63.94 35.58, 79.58 21.64, 96.36 0.93 M49.53 53.59 C59.56 41.96, 70.82 28.04, 95.41 -0.67 M52.76 54.03 C63.36 38.79, 77.79 29.41, 101.02 -0.42 M54.86 53.48 C70.95 32.66, 89.75 13.39, 99.96 0.28 M57.95 54.89 C73.57 37.73, 85.97 22.69, 106.22 0.94 M59.63 52.85 C78.67 31.88, 96.92 11.63, 106.5 0.21 M66.56 53.02 C77.88 38.09, 91.52 20.9, 111.48 -1.22 M66.36 53 C81.64 35.48, 95.63 17.56, 112.18 -0.96 M71.47 54.83 C85.89 37.37, 97.19 20.81, 116.43 -1.26 M70.52 52.57 C85.81 34.98, 101.9 17.16, 116.42 0.03 M74.35 53.82 C86.34 42.02, 101.03 25.09, 121.34 -1.95 M76.5 52.71 C93.54 32.72, 110.52 12.33, 121.69 -0.76 M82.88 54.1 C94.44 38.01, 110.41 18.74, 127.65 1.32 M81.09 52.47 C97.43 35.14, 111.92 18.08, 126.29 1.07 M86.48 53.9 C99.79 35.49, 116.47 20.32, 133.06 0.74 M87.56 51.89 C100.76 34.95, 117.27 17.94, 131.72 0.23 M89.62 53.05 C109.79 30.54, 128.54 11.98, 136.79 -0.36 M91.07 53.41 C104.04 36.71, 119.17 22.47, 138.14 1.01 M95.52 52.49 C116.82 29.84, 133.17 11.9, 143.34 -0.05 M96.73 52.96 C108.17 38.05, 121.82 25.46, 142.4 0.51 M103.41 53.79 C111.2 40.23, 123.79 29.31, 147.69 1.7 M103.07 53.37 C116.37 37.66, 129.45 21.78, 147.52 -0.11 M108.3 54.59 C120.49 36.95, 133.77 23.61, 155.14 -1.46 M108.06 53.46 C117.03 41.9, 128.54 30.59, 154.71 -0.34 M114.21 52.17 C129.12 34.8, 140.36 19.05, 158.44 1.22 M112.58 53.45 C127.29 36.85, 142.7 19.02, 158.85 0.88 M117.92 50.91 C128.88 42.13, 138.29 30.93, 165.66 1.11 M118.47 52.06 C133.14 36.13, 147.43 18.82, 164.51 0.42 M122.22 53.81 C135.89 36.44, 150.41 20.21, 169.37 1.68 M123.98 53.88 C134.18 41.65, 145.35 28.27, 169.44 0.25 M127.69 53.95 C145.59 33.08, 167.14 9.62, 174.38 -1.98 M129.78 52.54 C146.65 31.82, 163.72 12.3, 174.56 0.64 M133.9 54.05 C147.91 36.79, 160.53 19.51, 179.05 0.32 M134.49 52.01 C144.26 40.24, 156.01 27.97, 179.46 -0.56 M139.2 53.92 C149.28 39.22, 163.03 26.86, 186.98 1.38 M140.66 51.82 C158.25 31.08, 176.29 10.22, 186.45 -0.7 M145.95 54 C160.14 36.93, 170.74 23.01, 192.31 0.11 M144.24 52.33 C155.92 38.62, 169.29 25.54, 189.98 0.98 M152.28 50.81 C166.2 35.14, 182.25 17.48, 195.43 1.04 M150.65 51.94 C159.99 41.96, 169.36 30.41, 196.69 0.51 M157.34 52.52 C170.08 37.43, 183.6 19.68, 200.25 1.79 M156.22 52.43 C169.18 37.47, 184.53 21.13, 200.91 0.53 M161.03 54.36 C174.36 40.62, 182.9 25.8, 205.94 0.6 M160.2 52.08 C171.1 41.91, 179.91 30.95, 206.63 -0.52 M165.27 54.21 C175.8 41.95, 183.88 30.07, 212.2 -0.17 M166.29 53.04 C180.41 36.5, 195.49 20.57, 211.05 0.89 M169.75 52.03 C187.93 33.74, 202.83 18.03, 218.97 1.43 M172.6 52.52 C185.6 37.07, 197.27 22.39, 218.53 0.59 M177.19 53.42 C194.49 34.85, 211.07 11.12, 223.72 -1.53 M177.18 52.03 C192.76 35.2, 207.79 17.5, 222.1 -0.02 M181.05 53.07 C200.48 32.68, 215.78 15.61, 229.21 -1.38 M182.02 52.67 C192.11 41.39, 203.38 27.74, 227.49 -0.71 M186.82 54.27 C203.37 33.11, 221.98 13.47, 230.7 1.95 M186.53 52.36 C201.94 35.92, 215.02 19.79, 230.62 3.1 M191.75 52.44 C201.06 42.65, 209.99 31.47, 233.03 6.32 M193.53 53.08 C208.41 35.38, 223.18 17.41, 234.9 5.49 M198.11 54.61 C209.12 40.74, 218.63 27.5, 236.55 6.75 M198.81 52.14 C212.63 35.59, 227.02 19.76, 237.4 7.16 M204.93 50.89 C214.19 41.84, 224.78 28.36, 242.24 9.85 M203.05 51.41 C215.95 38.26, 229.4 24.6, 240.24 9.62 M209.27 54.04 C218.88 39.01, 231.46 27.09, 242.23 11.34 M209.39 52.6 C217.62 43.86, 225.7 34.04, 243.36 12.45 M213.93 50.89 C223.68 44.86, 231.54 33.4, 246.29 13.56 M213.38 52.46 C222.66 41.46, 231.25 31.43, 247.24 14.55 M220.75 53.92 C231.79 39.28, 240.58 25.88, 248.33 18.95 M218.51 52.09 C225.18 44.01, 232.97 35.56, 249.67 17.38 M226.33 52.68 C231.95 45.93, 235.9 38.73, 252.89 19.56 M224.2 52.13 C230.76 45.62, 237.24 38.92, 252.51 20.24 M231.27 53.36 C235.43 43.79, 244.39 37.69, 253.67 22.55 M229.29 52.09 C239.19 41.71, 249.5 30.41, 254.4 23.48 M234.64 55.74 C241.8 48.06, 246.87 39.02, 259.99 27.7 M234.75 52.99 C242.28 43.19, 251.74 33.6, 257.55 25.8" stroke="#f08c00" stroke-width="0.5" fill="none"></path><path d="M0.71 1.66 C6.23 9.05, 13.29 16.15, 22.41 27.4 M0.56 0.86 C5.08 5.29, 8.61 10.34, 21.27 25.06 M21.59 26.16 C14.62 33.15, 11.36 37.22, -0.46 51.85 M22.43 27.01 C15.52 34.92, 8.71 41.58, -0.98 51.24 M-1.39 51.83 C77.73 53.09, 156.83 51.68, 232.15 51.85 M0.6 51.83 C73.75 50.13, 148.97 50.19, 231.29 51.38 M231.15 52.02 C241.54 40.93, 248.76 34.99, 258.7 25.83 M231.57 51.18 C240.27 43.44, 249.74 35.29, 258.87 26.03 M259.64 25.54 C250.03 18.14, 242.07 13.39, 228.9 0.09 M258.38 26.32 C250.24 19.16, 241.81 11.91, 228.6 -0.14 M227.34 -0.28 C159.26 -0.18, 90.82 -1.16, -0.03 -0.36 M228.15 0.57 C165.31 -0.03, 102.71 -0.07, 0.35 -0.62 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(306.9592133067754 29.975501494307082) rotate(0 108.36000061035156 12.5)"><text x="108.36000061035156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Adapt and align model</text></g><g stroke-linecap="round" transform="translate(285.5 95.63374338031099) rotate(0 69.5 36)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.56 6.6 C1.76 3.26, 3.07 1.19, 6.07 1.47 M0.19 6.18 C1.99 4.64, 3.65 1.68, 4.86 0.26 M0.33 13.95 C2.71 9.11, 7.75 6.38, 11.87 -0.78 M-0.09 12.07 C4.36 10.2, 5.61 5.18, 10.97 -1.36 M-2.46 17.15 C6.05 12.09, 9.24 1.99, 13.09 -1.39 M1.21 19.92 C6.06 12.99, 10.58 5.31, 14.31 -1.66 M3.43 25.91 C8.72 15.38, 9.44 10.18, 20.12 1.66 M0.07 22.33 C6.33 15.22, 14.77 8.22, 22.56 1.91 M3.88 28.8 C6.15 18.75, 11.87 15.5, 23.63 4.25 M-1.44 29.4 C8.5 19.75, 17.3 10.86, 24.41 -1.62 M1.94 36.85 C4.98 27.28, 14.58 18.12, 28.85 3.62 M-0.13 37.62 C10.31 27.76, 19.23 14.65, 31.68 1.26 M-3.04 41.31 C7.11 37.12, 11.41 23.24, 39.71 -0.74 M-0.2 42.61 C14.37 27.88, 23.61 14.64, 35.71 0.69 M3.61 50.93 C14.71 30.64, 28.66 22, 45.02 -2.13 M-1.71 47.9 C11.37 35.41, 22.3 20.98, 42.02 -0.06 M-2.54 57.65 C19.14 34.52, 39.77 13.2, 50.26 -1.64 M1.51 54.14 C10.2 41.28, 20.98 30.76, 46.68 -0.04 M2.72 61.64 C6.93 50.59, 20.99 36.26, 55.8 -3.13 M-1.86 59.64 C12.8 46.88, 25.32 32.24, 54.94 -0.2 M-2.13 69.03 C16.94 44.37, 37.31 28.28, 56.69 3.75 M1.41 65.58 C18.75 49.49, 34.12 26.81, 57.56 1.17 M-0.67 72.41 C23.81 45.25, 51.06 10.29, 60.85 0.58 M1.33 72.04 C25.51 44.18, 50.5 14.95, 65.53 0.9 M3.09 69.1 C31.09 48.82, 53.15 17.74, 64.9 -2.84 M6.82 71.71 C26.41 47.31, 44.45 26.02, 70.33 -0.5 M14.54 72.41 C35.19 44.05, 61.74 16.96, 72.34 -3.52 M12.01 72.73 C34.33 48.55, 55.3 23.93, 74.66 1.59 M13.31 73.6 C42.54 43.36, 64.94 17.26, 77.33 3.78 M17.62 72.12 C35.06 53.21, 49.71 33.7, 80.72 0.43 M22.93 76.15 C42.98 41.54, 73.5 17.88, 82.93 -0.5 M21.08 73.5 C45.14 50.31, 62.52 23.51, 84.93 -1.57 M30.59 72.77 C43.92 59.27, 54.46 43.04, 92.87 -3.67 M28.83 71.67 C50.76 44.97, 73.11 22, 90.21 -0.34 M29.4 74.36 C56.09 45.34, 76.03 28.78, 97.78 -3.87 M31.01 73.05 C57.35 42.32, 84.07 16.09, 96.69 -1.72 M34.11 71.07 C50.4 58.2, 67.87 41.46, 98.94 -0.98 M37.79 72.21 C59.46 43.33, 85.75 18.82, 102.03 -0.86 M42.72 69.99 C66.92 42.57, 92.9 15.78, 102.56 0.32 M41.39 73.09 C58.47 55.26, 74.01 38.52, 108.06 -1.8 M47.52 76.45 C56.9 60.86, 70.28 45.56, 111.47 -0.44 M47.63 73.8 C70.2 48.24, 89.48 24.71, 113.15 -0.92 M54.11 75.25 C71.36 52.93, 85.82 39.85, 118.77 -1.73 M51.49 71.33 C69.58 55.49, 88.17 32.45, 118.23 2.28 M58.99 76.39 C78.84 44.06, 101.95 25.18, 118.85 -2.83 M59.19 70.79 C74.97 53.81, 91.6 32.63, 122.32 1.94 M65.33 76.11 C82.01 55.02, 102.08 29.34, 126.4 1.46 M64.4 73.97 C80.64 52.12, 96.98 34.98, 126.12 -1.4 M69.19 69.84 C91.32 48.6, 114.57 19.27, 130.01 2.55 M71.07 71.76 C84.23 54.37, 96.97 39.67, 134.01 0.43 M75.3 69.26 C92.53 53.56, 112.73 24.99, 139.94 3.08 M73.6 72.72 C87.3 57.03, 99.54 44.11, 138.42 -0.25 M83.28 75.26 C95.63 54.58, 119.53 33.89, 140.39 0.18 M79.64 71.53 C94.9 54.95, 110.9 36.47, 140.49 3.76 M87.42 70.94 C100.32 51.93, 120.11 30.09, 140.51 6.66 M86.32 73.54 C103.21 54.82, 118.31 32.39, 141.69 7.34 M86.92 74.61 C108.62 47.48, 127.54 30.45, 137.35 15.31 M91 71.2 C103.07 57.94, 115.5 46.42, 143.17 12.7 M93.62 68.84 C108.57 54.48, 124.58 39.47, 138.24 17.38 M95.53 72.63 C103.25 63.52, 114.41 52.4, 140.74 19.46 M102.27 69.36 C111.62 67.29, 119.49 56.21, 143.82 27.35 M101 74.08 C114.97 53.04, 133.95 34.43, 140.31 24.88 M106.3 70.18 C117.68 64.98, 128.24 51.36, 143.03 32.17 M107.97 72.45 C117.26 58.65, 126.79 49.42, 141.43 32.64 M116.01 72.47 C119.53 60.69, 126.73 58.17, 138.72 37.01 M111.25 73.77 C120.57 62.09, 129.22 50.25, 143.39 38.02 M118.38 69.66 C124.05 60.4, 129.72 59.37, 139.4 42.25 M116.12 73.71 C125.96 62.26, 130.99 54.8, 141.47 44.47 M119.29 68.39 C126.85 68.32, 127.11 59.33, 144.82 49.24 M121.11 74.09 C129.52 65.39, 136.36 56.3, 141 52.82 M127.28 73.51 C131.67 70.11, 138.53 60.12, 141.01 57.57 M126.22 71.37 C131.22 70.33, 132.91 65.96, 140.94 58.04 M132.41 70.33 C135.9 69.03, 136.45 68.53, 142.49 62.62 M132.35 72.76 C135.48 69.22, 136.93 69.16, 141.33 62.45 M137.48 73.27 C138.22 72.75, 140.68 70.67, 141.72 68.48 M138.31 72.07 C139.2 71.61, 141.12 69.79, 141.64 69.25" stroke="#f08c00" stroke-width="0.5" fill="none"></path><path d="M3.46 -3.39 C47.39 -0.15, 90.1 4.17, 138.12 -2.02 M1.8 -1.66 C38.45 -1.68, 79.59 1.79, 140.67 -0.11 M139.41 3.95 C137.74 14.36, 141.68 31.59, 140.4 70.91 M140.14 -0.47 C140.2 16.86, 138.81 34.53, 139.92 70.03 M142.56 68.24 C110.95 71.49, 80.1 70.81, -2.91 69.41 M137.07 73.92 C96.15 71.17, 52.34 71.88, 1.84 71.25 M-2.65 71.74 C0.44 54.33, -0.74 35.86, 1.15 1.72 M0.86 70.75 C-0.79 55.7, -0.14 41.59, -1.82 1.07" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(305.87999725341797 106.63374338031099) rotate(0 49.12000274658203 25)"><text x="49.12000274658203" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Prompt </text><text x="49.12000274658203" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">engineering</text></g><g stroke-linecap="round" transform="translate(285.5 183.633743380311) rotate(0 69.5 31.5)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M1.13 7.15 C0.76 5.77, 3.04 2.65, 4.76 1.27 M-0.04 5.78 C1.95 4.85, 3.25 3.21, 5.34 0.96 M3.24 12.4 C5.58 5.74, 7.23 5.62, 11.01 -1.1 M-0.4 11.4 C3.56 8.24, 7.84 3.71, 10.2 -0.77 M3.74 18.79 C1.32 14.46, 11.95 4.86, 12.96 1.91 M0.47 17.77 C5 10.95, 12.74 7.21, 17.19 -1.26 M-3.41 21.33 C2.25 22.25, 10.35 15.83, 22.15 0.12 M1.54 22.86 C5.53 19.16, 11.39 10.22, 19.68 -0.68 M1.36 29.58 C6.4 15.56, 22.59 9.15, 22.45 1.26 M1.94 28.54 C10.79 17.33, 21.36 5.33, 25.62 0.31 M-2.99 35.98 C9.1 19.2, 23.25 6.01, 33.46 0.58 M1.05 36.68 C12.74 24.57, 21.65 10.5, 30.28 1.8 M3.76 39.31 C15.01 29.45, 20.09 14.17, 36.37 -0.38 M-1.1 40.78 C14.39 27.09, 25.56 13.73, 37.5 0.03 M-3.96 51.84 C16.28 30.82, 34.18 10.47, 46.23 -2.82 M0.66 49.68 C16.79 29.69, 33.59 12.78, 43.35 -1.17 M-1.84 51.15 C18.4 34.38, 38.95 13.39, 45.68 0.38 M-0.19 55.84 C16.04 32.88, 33.52 14.07, 49.43 1.15 M1.99 63.08 C9.03 44.91, 29.02 28.42, 49.18 -0.42 M-0.7 62.84 C21.62 39.82, 37.79 18.17, 54.59 0.53 M0.58 63.25 C19.25 47.78, 35.38 29.08, 60.83 3.46 M0.69 63.32 C15.34 51.14, 27.59 36.33, 56.22 0.64 M10.54 67.3 C18.88 49.19, 33.33 32.26, 66.53 -2.05 M6.01 65.83 C25.39 44.53, 43.95 22.94, 61.96 -1.25 M13.11 62.72 C26.33 45.06, 43.49 20.87, 71.79 -2.72 M10.37 67.03 C24.07 47.78, 38.56 34.69, 66.97 1.24 M17.7 63.46 C36.55 49.08, 53.31 24.17, 77.97 2.95 M16.93 62.92 C38.93 39.64, 60.95 13.56, 73.67 -0.91 M24.28 68.79 C34.5 53, 44.9 34.99, 80.02 -1.25 M22.87 64.12 C41.46 46.42, 59.02 26.05, 81 -0.58 M31.66 62.23 C43.38 47.05, 55.09 35.12, 82.73 -2.26 M27.12 63.35 C51.27 40.93, 69.75 17.33, 84.17 0.92 M35.28 62.62 C55.12 41.93, 66.33 19.08, 90.49 -2.72 M31.65 66.96 C57.19 40.87, 77.51 15.72, 91.9 1.42 M35.39 67.04 C57.36 42.49, 77.52 20.69, 99.51 1.99 M41.16 66.37 C57.27 40.89, 80.17 16.9, 94.17 1.33 M42.84 61.88 C56.84 52.26, 65.68 40.49, 103.64 2.79 M44.41 65.65 C61.95 47.2, 77.2 26.62, 99.49 -0.8 M47.34 61.8 C70.64 42.67, 94.85 12.91, 102.53 -0.13 M49.89 64.95 C71.22 41.78, 91.11 20.05, 106.63 -0.82 M55.17 64.74 C65.18 51.15, 77.24 34.08, 107.45 -2.3 M55.12 64.05 C78.52 39.17, 100.91 15.68, 109.87 -1.48 M57.47 66.92 C73.78 42.5, 89.15 27.47, 116.84 -3.21 M62.38 65.82 C72.75 50.12, 84.33 38.25, 118.1 -0.17 M67.97 65.85 C88.1 40.63, 106.21 17.26, 125.37 0.91 M63.97 63.76 C82.48 45, 96.02 28.57, 123.36 -1.16 M67.25 67.31 C93.87 41, 105.23 23.18, 124.95 0.4 M69.97 65.46 C85.65 43.39, 105.62 25.91, 125.35 0.13 M72.47 64.38 C96.57 36.18, 123.89 10.51, 136.36 3.84 M77.44 64.13 C92.78 47.82, 104.07 29.23, 134.54 1.4 M81.63 68.39 C100.4 45.09, 118.3 22.97, 134.94 1.13 M82.23 66.1 C98.37 48.55, 112.99 29.39, 137.42 0.94 M87.35 63.99 C101.44 43.15, 123.12 25.66, 144.92 4.68 M88.21 66.28 C106.85 44.1, 122.79 19.99, 142.28 3.43 M93.08 64.08 C107.35 47.27, 123.47 25.63, 144.44 8.69 M91.01 63.72 C106.66 49.75, 121.25 30.92, 139.72 7.66 M94.85 64.86 C103.67 55.73, 117.2 48.12, 138.45 11.37 M99.26 65.06 C114.36 45.51, 133.59 24.23, 143.1 13.23 M105.56 60.78 C113.95 56.34, 121.63 43.44, 139.14 19.47 M102.38 64.06 C116.26 49.66, 130.56 36.59, 140.43 21.63 M104.67 63.63 C119.1 58.62, 126.22 44.71, 138.93 27.02 M107.78 65.08 C120.23 52.3, 132.85 36.43, 142.86 27.45 M109.86 62.17 C126.99 53.37, 135.92 42.87, 143.49 30.61 M112.01 63.34 C124.95 54.46, 134 43.61, 141.24 34.17 M122.02 61.48 C121.2 57.41, 126.3 47.31, 139.33 37.06 M117.24 64.68 C129.14 56.34, 133.79 45.43, 141.14 38.33 M126.28 66.16 C128.7 54.92, 136.43 50.59, 139.56 42.51 M123.81 65.3 C128.95 60.82, 133.83 52.5, 140.2 45.14 M131.38 64.13 C129.41 61.19, 136.9 53.14, 143.22 48.43 M129.34 64.05 C134.09 61.95, 134.39 57.15, 139.32 52.46 M135.55 63.04 C139.07 61.74, 137.53 61.38, 139.32 58.18 M134.09 65.38 C137.39 62.13, 139.19 59.05, 141.92 56" stroke="#f08c00" stroke-width="0.5" fill="none"></path><path d="M3.41 2.68 C41.7 -2.93, 84.3 1.28, 140.15 3.82 M-1.37 -1.42 C45.48 2.54, 88.35 -0.48, 138.81 -1.93 M135.56 1.63 C136.5 27.49, 139.16 45.59, 141.19 61.73 M137.74 0.65 C140.65 18.52, 138.52 41.37, 139.84 63.53 M139.14 63.83 C91.52 61.09, 47.95 62.71, -2.93 65.4 M138.73 62.2 C93.64 67.14, 44.36 67.23, 1.99 63.4 M3.94 64.53 C2.49 47.22, 0.53 32.85, 2.54 0.62 M1.83 64.61 C2.44 50.23, 0.71 37.61, 1.26 1.53" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(304.05999755859375 202.633743380311) rotate(0 50.94000244140625 12.5)"><text x="50.94000244140625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Fine tuning</text></g><g stroke-linecap="round" transform="translate(283.5 266.133743380311) rotate(0 69.5 54)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.59 7.06 C0.73 5.8, 4.81 1.51, 4.14 -1.01 M-0.01 6.03 C1.39 5.05, 3.5 2.14, 4.8 0.87 M-0.23 15.11 C4.32 7.64, 8.44 9.53, 12.22 1.66 M-0.4 10.45 C2.42 10.08, 3.67 5.22, 10.06 1.47 M1.34 21.32 C7.09 10.82, 12.34 9.16, 14.48 -1.52 M0.03 19.78 C7.08 9.97, 10.9 5.61, 14.59 -1.44 M-0.18 20.25 C8.61 13.08, 13.67 2.99, 24.44 2.54 M-0.33 25.46 C4.11 19.37, 8.49 14.78, 19.91 1.06 M1.71 26.84 C4.03 23.71, 15.61 16.51, 27.01 -2.05 M-1.48 31.99 C4.45 22.83, 13.09 18.53, 24.27 2.26 M2.76 33.28 C10.28 27.37, 17.89 17.33, 31.6 -1.31 M-1.68 38.66 C12.53 24.6, 22.29 8.35, 30.83 -1.85 M-3.05 41.03 C8.07 28.68, 16.98 25.24, 38.18 4.02 M-1.06 42.83 C9.48 30.95, 20.12 18.11, 36.77 -0.65 M1.52 52.12 C12.19 28.75, 28.02 14.79, 45.57 -2.53 M-1.07 47.76 C15.51 31.67, 30.18 12.93, 41.02 -1.41 M0.53 52.82 C18.8 37.81, 36.29 14.72, 49.18 -2.14 M-1.4 54.79 C18.15 35.61, 36.81 10.87, 45.55 2.19 M-1.35 64.7 C21.82 41.68, 37.46 15.01, 49.29 2.28 M1.3 62.88 C13.4 48.44, 25.91 33.55, 55.06 1.6 M-3.26 64.36 C17.45 46.28, 25.96 31.08, 56.75 -2.88 M0.45 68.85 C19.07 47.47, 36.51 26.65, 58.31 0.88 M0.87 70.67 C20.95 49.88, 46.69 18.76, 61.24 -2.97 M0.14 71.11 C15.45 54.67, 30.53 34.02, 63.79 0.18 M-0.64 80.06 C23.75 47.96, 52.42 22.23, 69.07 -0.03 M-0.38 77.48 C15.82 62, 33.63 38.66, 69.02 -0.72 M2.39 82.2 C23.52 54.65, 52.18 25.28, 71.37 2.15 M0.41 85.32 C16.75 65.28, 37.23 46.86, 76.28 1.05 M-0.3 95.09 C31.58 56.16, 63.68 21.66, 81.88 1.08 M-0.46 93.16 C29.8 57.17, 58.22 24.48, 77.87 -1.01 M0.26 100.71 C28.95 65.56, 60.18 32.41, 81.15 2.54 M0.66 96.86 C34.58 60.15, 69.64 20.43, 83.87 0.69 M1.21 100.36 C19.79 85.5, 38.92 58.16, 86.37 -0.39 M-1.46 105.38 C26.48 75.49, 47.35 49.58, 91.34 -0.63 M-2.35 113.1 C40.62 68.77, 75 29.46, 95.53 3.63 M0.31 107.82 C31.75 71.56, 63.38 33.7, 96.13 1.33 M8.77 108.5 C36.79 74.73, 65.57 36.63, 101.26 -0.77 M7.11 110.58 C27.86 86.86, 46.02 63.54, 102.11 1.52 M7.82 111.23 C46.92 72.99, 81.98 34.05, 106.98 -0.69 M11.59 110.51 C35.93 80.08, 59.58 49.39, 104.91 -1.05 M15.51 104.93 C37.18 80.49, 59.6 55.5, 108.75 0.09 M18.77 107.24 C36.16 85.46, 58.62 60.27, 113.16 0.3 M21.13 112.57 C45.08 75.37, 76.43 48.47, 118.8 -3.23 M22.64 108.08 C52.15 72.28, 84.73 32.16, 115.62 0.05 M30.81 107.35 C57.27 72.82, 78.75 45.94, 118.57 -1.14 M26 107.39 C61.81 68.3, 97.12 24.03, 121.68 0.31 M33.29 111.79 C59.34 82.38, 80.52 51.42, 123.76 -2.59 M33.64 110.16 C66.36 68.7, 101.24 26.63, 125.91 -1.42 M40.14 108.67 C76.47 64.47, 108.83 27.95, 135.92 -3.29 M36.14 107.49 C58.3 88.04, 78.95 63.75, 131.14 -0.08 M43.52 108.06 C78.97 69.81, 112.46 25.17, 140.18 1.39 M43.07 108.09 C68.08 81.01, 94.91 51.59, 137.72 0.53 M48.44 106.3 C75.67 76.99, 104.31 40.48, 143.54 1.57 M46.77 109.77 C66.05 86.14, 87.92 65.19, 141.28 1.48 M54.51 105.03 C89.48 73.2, 117.21 29.68, 143.94 4.18 M55.62 106.98 C90.25 70.69, 122.54 29.45, 141.29 8.44 M56.18 110.16 C87.64 73.29, 117.69 34.67, 139.09 15.14 M57.73 110.23 C79.86 84.71, 104.02 56.51, 141.48 14.4 M64.49 110.88 C91.86 79.29, 113.27 52.94, 138.98 19.92 M66.25 109.69 C82.17 84.87, 104.83 60.85, 141.7 20.76 M67.33 110.66 C83.46 89.27, 101.07 73.69, 138.8 26.28 M71.09 106.59 C88.82 88.89, 104.44 66.72, 142.49 24.49 M75.17 106.26 C101.04 76.79, 124.6 52.26, 144.01 31.5 M76.18 108.82 C92.27 90.81, 106.06 74.03, 141.52 33.94 M81.34 110.72 C102.23 87.03, 118.81 60.33, 137.89 38.15 M79.19 110.33 C94.49 91.27, 109.98 77.71, 140.76 37.08 M83.75 108.35 C99.14 94.82, 113.35 75.9, 143.33 41.08 M84.85 110.73 C107.84 88.24, 126.58 65.7, 139.67 44.97 M93.17 109.75 C102.73 99.58, 117.43 81.53, 142.41 51.17 M92.61 106.69 C101.55 95.18, 113.96 82.27, 142.34 52.04 M98.95 106.8 C107.15 91.13, 125.99 72.53, 141.41 54.58 M97.97 107.52 C112.12 90.05, 130.52 68.34, 141.99 55.83 M101.29 111.67 C108.03 101.79, 119.84 88.91, 139.88 60 M100.18 106.63 C116.83 92.06, 127.85 76.73, 141.51 64.73 M108.98 111.79 C119.72 95.78, 133.78 78.08, 138.2 66.41 M107.51 109.05 C117.89 96.9, 128.32 82.31, 140.56 70.24 M115.65 108.88 C122.45 97.6, 138.03 82.97, 143.35 74.06 M112.99 106.89 C122.63 98.11, 129.44 85.26, 140.81 74.49 M113.54 105.96 C127.13 100.11, 130.9 91.6, 144.51 84.23 M115.66 106.92 C124.43 100.28, 133.59 94.03, 141.05 82.44 M125.07 107.06 C131.43 104.49, 137.55 91.08, 138.05 90.5 M123.7 110.72 C128.78 105.59, 131.16 98.73, 141.7 85.68 M131.86 108.49 C132.37 105.73, 141.09 97.4, 144.61 93.96 M126.89 110.49 C131.43 104.58, 138.41 97.62, 141.36 94.16 M132.26 107.15 C138.13 104.91, 140.39 103.03, 143.6 101.69 M133.17 108.91 C134.02 105.73, 136 104.93, 140.5 100.01" stroke="#f08c00" stroke-width="0.5" fill="none"></path><path d="M3.63 3.14 C33.39 -4.48, 72.9 -4.42, 135.33 -2.75 M1.39 0.45 C31.54 -0.29, 64.31 -2.04, 140.27 -1.22 M138.86 -3.15 C139.7 32.96, 141.28 57.95, 140.35 107.1 M140.03 -1.9 C137.71 24.16, 138.28 42.71, 140.93 106.06 M135.55 106.74 C92.31 113.01, 47.62 106.44, -2.73 107.11 M137.9 108.78 C107.81 107.81, 75.08 106.49, 1.31 107.81 M-2.75 104.79 C3.68 66.97, 2.61 22.64, 3.62 -3.21 M-0.88 107.75 C-0.35 66.12, -1.9 23.29, -1.24 -1.74" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(303.0699996948242 282.633743380311) rotate(0 49.93000030517578 37.5)"><text x="49.93000030517578" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Align with </text><text x="49.93000030517578" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">human </text><text x="49.93000030517578" y="50" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">feedback</text></g><g stroke-linecap="round"><g transform="translate(568.8640961064798 19.791921635726567) rotate(0 132.51305333515086 25.71183402242866)" fill-rule="evenodd"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M2.62 3.31 C2.74 3.06, 3.39 2.29, 5.37 0.63 M2.52 3.38 C3.31 2.17, 4.16 1.3, 5.05 0.3 M5.1 5.58 C6.32 3.43, 9.43 2.11, 10.14 0.21 M5.38 6.37 C6.26 4.39, 7.65 3.34, 10.77 0.15 M7.2 8.35 C10.53 5.71, 12.38 4.32, 15.94 1.04 M7.99 9.27 C9.27 7.01, 11.29 5.28, 15.37 0.26 M11.09 11.89 C13.5 7.49, 19.11 5.56, 21.23 -1.44 M10.77 13.13 C12.54 8.97, 14.93 7.02, 20.45 0.27 M12.75 16.37 C15.43 9.68, 19.96 5.53, 28.2 -0.05 M13.52 15.25 C17.26 10.56, 19.95 6.57, 25.26 1.23 M16.27 19.16 C22.76 14.14, 27.09 7.02, 29.96 -2.05 M15.36 18.53 C18.91 15.27, 22.52 10.5, 31.72 0.2 M20.06 20.27 C21.61 16.86, 26.32 12.5, 37.87 2.01 M18.36 21 C23.6 15.43, 28.29 10.87, 37.54 0.61 M20.88 25.99 C28.68 13.64, 39.5 3.89, 41.57 -0.64 M20.68 24.72 C27.59 18.77, 32.21 10.61, 42.72 -0.88 M3.43 53.86 C16.47 33.12, 34.84 15.36, 46.23 -1.58 M2.35 52.71 C20.08 31.6, 36.62 12.92, 46.97 1.01 M5.49 54.57 C17.71 42.94, 25.94 29.08, 52.28 0.15 M6.61 52.58 C21.69 37.35, 36 18.79, 53.66 -0.66 M11.93 54.4 C22.72 40.28, 33.66 29.33, 56.64 1.67 M12.22 52.75 C27.08 35.8, 41.97 17.96, 57.35 0.25 M17.05 55.07 C27.57 42, 37.34 31.38, 64.52 -0.33 M18.06 54.07 C32.62 36.41, 49.28 17.59, 63.78 0.19 M23.45 53.93 C37.7 34.69, 52.92 19.22, 70.66 1.98 M22.16 53.67 C34.32 40.86, 44.06 27.74, 69.36 -0.78 M27.22 51.41 C39.84 36.97, 53.89 23.54, 75.02 -0.98 M27.27 54.29 C39.58 40.44, 49.83 27.62, 75.2 0.17 M33.71 54.56 C51.56 34.5, 67.75 14.7, 80.12 -0.67 M32.78 53.46 C50.51 33.85, 67.89 12.26, 78.56 -0.03 M38.81 52.55 C48.39 40.82, 56.9 30.58, 86.73 1.06 M38.29 52.79 C48.24 40.61, 59.73 27.11, 84.91 -1.13 M44.66 52.15 C56.3 41, 64.29 29.33, 91.12 -0.54 M43.57 53.21 C58.18 36.02, 72.67 20.03, 89.37 -0.33 M48.92 53.24 C60.53 37.71, 75.81 22.62, 96.85 -1.6 M50.06 54.23 C61.29 40.08, 74.67 25.72, 94.77 -0.98 M56.52 52.3 C70.86 36.26, 86.09 15.78, 99.98 1.85 M54.89 53.16 C69.18 36.33, 83.69 19.62, 101.09 0.61 M60.88 53.94 C70.4 38.51, 83.03 27.92, 104.84 1.39 M60.38 52.4 C76.91 35.51, 93.07 16.56, 105.52 0.47 M63.72 54.37 C75.25 38.71, 87.77 27.21, 113.28 -0.28 M66 52.65 C74.24 41.37, 84.68 30.98, 111.91 0.21 M72.27 52.9 C88.26 32.61, 101.57 15.43, 115.76 -1.11 M69.92 52.21 C81.33 38.85, 93.87 25.64, 116.13 0.97 M75 51.46 C87.66 39.04, 98.95 26.2, 123.86 0.06 M76.99 52.17 C89.2 35.84, 102.07 21.11, 122.87 -1.01 M82.91 54.09 C98.87 34.35, 113.74 17.68, 126.87 -0.74 M80.23 53.71 C93.6 38.45, 105.17 25.32, 126.39 1.09 M85.29 54.43 C103.55 33.64, 118.98 16.07, 130.8 -0.4 M86.86 53.32 C104.86 30.97, 122.83 11.28, 131.9 0.64 M90.91 51.24 C102.44 39.82, 114.08 26.32, 135.72 -1.16 M91.76 54.06 C107.19 36.22, 121.58 19.57, 137.02 0.84 M95.81 51.89 C105.82 40.01, 117.45 31.23, 143.43 0.81 M97.48 52.82 C107.5 40.14, 119.38 27.53, 143.8 -0.06 M100.57 51.84 C120.32 34.78, 135.62 15.25, 146.77 -1.01 M101.79 53.56 C118.22 34.15, 134.55 16.77, 148.25 0.55 M106.02 54.18 C121.79 33.59, 139.97 15.69, 153.33 -0.06 M107.59 52.54 C119.44 37.68, 132.95 23.25, 154.26 0.81 M114.49 53.11 C128.67 36.28, 141.49 19.36, 158.73 -1.17 M112.5 53.62 C128.38 34.69, 144.27 17.87, 159.2 -0.29 M117.61 53.42 C133.45 38.47, 144.91 22.33, 166.34 -1.05 M118.81 53.45 C131.04 38.73, 143.18 22.89, 163.83 0.28 M121.5 54.04 C140.07 33.17, 154.79 16.97, 168.55 -0.8 M122.96 52.78 C131.99 42.63, 141.54 30.75, 169.86 0.92 M130.56 51.46 C138.96 42.53, 150.38 27.47, 174.53 1.58 M129.61 51.65 C144.35 37.55, 157.79 19.59, 175.92 0.54 M132.68 51.35 C147.07 40.56, 159.08 23.75, 179.45 -1.29 M135.08 52.7 C151.09 33.05, 168.43 12.49, 179.09 -0.09 M139.06 51.91 C157.21 34.16, 170.06 17.92, 184.24 1.31 M139.37 52.37 C154.75 34.61, 171.82 15.24, 184.86 -1.15 M145.37 51.52 C161.48 33.48, 175.54 17.55, 188.87 1.72 M145.67 52.19 C154.28 42.31, 163.61 30.94, 190.64 -0.47 M151.57 52.12 C158.04 40.96, 169.02 30.74, 196.05 1.37 M150.33 51.97 C164.27 35.4, 178.88 19.43, 195.8 -0.35 M155.14 54.79 C169.18 39.05, 183.92 23.36, 200.53 -1.67 M154.4 53.14 C171.01 36.66, 186.86 18.47, 201.12 -0.23 M162.81 51.2 C173.91 36.04, 191.74 17.66, 208.8 -1.26 M161.61 51.92 C178.51 32.61, 196.57 12.44, 206.82 0.47 M167.83 51.14 C183.08 35.06, 201.34 15.11, 212.38 0.39 M165.84 52.62 C181.04 34.73, 196.38 17.29, 212.03 -0.28 M169.72 54 C184.01 39.94, 195.49 25.99, 219.56 0.15 M171.18 52.83 C186.27 35.31, 199.27 20.64, 216.82 -0.01 M175.51 52.29 C188.3 36.66, 201.64 23.15, 220.63 1.52 M177.4 52.77 C189.15 38.34, 200.89 23.75, 221.71 -0.39 M183.51 51.12 C195.65 37.28, 209.28 22.84, 227.66 -1.92 M181.93 52.43 C196.19 36.83, 210.75 19.64, 227.63 -0.02 M188.53 51.73 C199.06 39.5, 214.13 24.59, 231.74 1.06 M187.39 52.9 C202.89 33.08, 221.03 13.98, 233.43 0.8 M193.65 50.93 C208.89 32.29, 223.76 16.27, 236.73 1.03 M193.59 51.57 C208.59 35.24, 224.54 17.73, 235.94 1.63 M199.46 52.69 C206.93 40.26, 218.23 31.07, 238.47 4.66 M196.99 53.41 C209.5 39.13, 221.62 23.83, 239.35 4.3 M203.83 51.53 C215.05 36.6, 228.32 22.89, 241.93 5.73 M202.77 52.22 C215.05 39.8, 224.4 27.92, 242.65 7.74 M207.13 52.14 C220.34 39.64, 232.25 26.13, 247.07 11.39 M208.25 51.86 C219.35 39.73, 230.29 28.64, 245.74 9.93 M216.02 52.78 C227.9 37.44, 236.9 26.79, 247.98 10.9 M214.96 51.5 C224.17 42.91, 231.6 31.7, 248.82 12.45 M220.64 52.83 C226.21 43.7, 235.95 34.9, 251.4 13.11 M220.1 52.9 C229.49 41.71, 237.47 31.29, 251.14 15.67 M226.42 52.27 C235.9 38.16, 247.55 27.68, 255.2 16 M224.53 51.62 C236.36 39.34, 248.57 24.54, 255.75 18.05 M231.3 51.22 C237.44 42.3, 248.28 33.25, 258.91 20.16 M230.33 52.32 C237.69 42.37, 246.52 34.28, 258.27 19.37 M233.49 53.37 C245.88 41.65, 253.48 32.51, 262.18 22.28 M234.73 51.95 C243.19 43.91, 248.88 36.15, 261.61 21.97 M240.05 54.31 C245.66 47.66, 251.63 38.28, 263.31 24.66 M238.98 53.8 C246.91 45.48, 253.39 35.6, 264.75 26.01" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M1.59 0.96 C3.23 5.95, 9.74 9.82, 23.33 24.17 M0.11 0.68 C7.63 9.67, 15.97 20.36, 22.51 25.67 M21.68 24.63 C14.34 34.34, 10.17 41.59, -1.11 52.97 M21.38 25.67 C15.11 35.4, 7.56 43.26, -0.78 51.63 M-1.1 51.57 C93.2 51.98, 183.97 53.52, 237.3 49.58 M-0.02 52.04 C68.65 51.09, 135.5 50.88, 237.29 50.64 M236.96 52.88 C246.9 44.1, 254.76 37.99, 264.17 24.57 M236.19 50.88 C243.5 45.13, 249.43 39.92, 266.2 26.24 M263.38 24.96 C259.7 18.82, 251.78 12.81, 235.02 -1.54 M265.71 26.76 C254.81 17.05, 245.38 8.21, 234.56 -0.82 M234.79 -0.04 C180.29 2.1, 128.94 1.67, -1.18 0.14 M233.64 0.69 C162.94 0.26, 92.33 0.23, -0.33 -0.31 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(596.0099868774414 33.63374338031099) rotate(0 107.9900131225586 12.5)"><text x="107.9900131225586" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Application integration</text></g><g stroke-linecap="round" transform="translate(573.5 95.63374338031099) rotate(0 57.5 141)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.9 4.87 C1.83 5.13, 3.39 4.38, 4.68 1.15 M-0.39 7.18 C0.78 5.17, 2.56 3.56, 5.3 0.25 M0.72 8.88 C6.68 9.76, 4.93 3.95, 11.87 0.61 M1.2 10.49 C2.26 6.05, 6.38 3, 10.42 -0.41 M-1.94 17.77 C5.45 9.81, 12.61 11.92, 18.72 -1.91 M0.25 19.43 C5.81 12.59, 7.28 7.37, 15.32 -0.45 M0.14 26.72 C9.12 19.67, 12.06 3.99, 21.27 2.37 M-0.97 23.13 C5.37 17.17, 11.58 10.69, 20.89 -0.17 M-3.34 31.28 C7.03 21.09, 21.33 5.03, 29.94 1.91 M0.05 29.21 C4.49 25.2, 10.6 18.42, 27.79 -0.4 M2.45 34.72 C14.81 20.85, 26.86 12.98, 29.73 2.21 M-1.37 36 C11.94 23.06, 24.52 7.88, 31.98 -1.78 M-3.4 44.55 C10.6 23.97, 22.83 9.84, 36.3 3.01 M-1.31 41.02 C14.03 29.14, 24.73 13.54, 36.9 -0.28 M-2.48 45.77 C12.5 31.52, 27.75 22.3, 42.23 3.25 M0.3 49.66 C14.99 31.7, 29 11.67, 44.24 1.24 M0.54 54.56 C11.94 43.17, 21.95 30.3, 48.72 2.11 M1.77 56.45 C15.83 38.13, 27.69 25.01, 46.14 1.6 M1.63 63.35 C13.93 39.4, 37.93 18.9, 51.92 -4.04 M-0.13 61.57 C14.38 43.2, 29.81 27.19, 52.02 1.73 M-1 70.51 C23.31 45.2, 43.39 21.8, 58.61 3.41 M-0.02 68.08 C20.39 42.7, 41.57 16.13, 56.75 1.21 M-3.83 69.66 C13.49 52.55, 31.03 37.92, 64.48 -1.72 M-0.44 74.69 C23.26 48.37, 44.16 25.48, 63.44 -1.24 M-3.05 78.86 C10.91 60.51, 25.4 43.38, 69.89 -1.38 M-0.26 80.49 C25 50.95, 51.93 22.59, 67.7 0.75 M-0.93 82.41 C23.53 55.36, 52.71 31.04, 74.08 -0.32 M-0.63 86.22 C18.35 61.37, 37.52 40.35, 76.35 1.67 M1.9 87.82 C17.61 66.82, 45.9 36.81, 82.96 -1.04 M-0.74 90.76 C27.08 61.35, 51.97 28.62, 79.72 0.67 M0.08 99.58 C26.17 68.44, 50.27 44.96, 87.36 1.13 M0.35 96.38 C27.93 69.27, 50.81 37.77, 86.35 -1.96 M2.51 100.36 C35.68 61.04, 66.04 27.63, 86.75 3.13 M-0.86 105.47 C25.44 73.18, 51.58 48.62, 91.29 -0.31 M3.42 112.35 C25.74 82.43, 49.05 51.75, 99.5 -0.92 M-0.69 109.36 C37.05 68.37, 75.81 25.66, 94.8 -2.3 M-0.05 114.93 C25.56 90.87, 43.94 66.23, 98.66 -2.65 M1.74 117.46 C26.94 86.3, 55.63 57.06, 102.65 -1.23 M-0.13 125.71 C31.53 87.04, 66.63 43.99, 110.17 1.5 M0.81 121.88 C40.93 73.37, 83.37 27.01, 104.81 0.73 M-0.78 126.25 C45.95 82.32, 81.98 30.38, 108.62 3.33 M-1.51 126.57 C41.07 83.55, 82.52 37.2, 111.77 1.1 M1.32 131.35 C46.35 83.25, 86.08 39.39, 114.21 -2.65 M-0.15 132.14 C30.64 98.01, 62.96 60.09, 115.91 2.98 M3.8 138.28 C38.37 95.23, 76.31 53.73, 113.13 5.06 M0.58 140.61 C33.27 103.25, 62.11 69.81, 116.47 6.94 M0.2 148.5 C25.83 119.3, 49.32 83.57, 112.41 10.65 M1.14 144.6 C37.39 102.66, 76.24 56.34, 114.85 14.09 M3.7 152.72 C28.66 124.71, 56.53 89.07, 112.41 21.76 M-1.04 151.92 C27.55 121.48, 54.4 92.86, 115.57 18.48 M0.75 160.61 C27.3 132.88, 46.68 103.48, 119.13 25.3 M-1.48 158.73 C43.02 109.05, 90.13 57.38, 115.15 26.31 M2.08 166.04 C39.57 115.67, 78.52 71.61, 113.82 33.11 M-1.04 166.34 C44.28 110.72, 91.65 58.01, 116.21 33.16 M-2.28 168.39 C34.75 134.58, 63.87 96.14, 112.02 39.26 M1.53 169.96 C33.99 131.68, 68.81 95.58, 114.93 36.74 M-1.39 178.2 C25.01 148.6, 45.66 120.39, 118.58 41.3 M-0.29 175.94 C27.9 144.44, 53.6 110.69, 116.69 41.67 M-3.65 186.3 C45.68 129.35, 87.37 75.57, 113.26 45.99 M-0.51 182.27 C32.56 143.07, 69.26 98.85, 118.05 48.7 M-3.21 185.42 C25.87 162.13, 50.55 126.95, 114.46 54.31 M1.4 187.82 C43.19 145, 84.61 97.59, 115.08 55.23 M-0.94 191.55 C22.36 163.52, 55.07 128.58, 116.84 59.2 M0.13 193.1 C47.17 143.54, 88.82 97.77, 117.44 60.53 M-1.39 201.14 C35.18 152.26, 78.52 108.57, 118.36 66.84 M-0.04 201.04 C27.48 173.28, 51.37 145.15, 115.88 66.54 M-3.23 204.86 C38.1 163.91, 72.18 122.1, 115.26 77.85 M0.93 206.17 C33.69 163.17, 70.79 119.54, 113.79 74.56 M0.56 212.59 C32.71 170.12, 72.89 128.32, 119.7 77.1 M-0.94 215.2 C24.52 183.03, 53.36 150.32, 117.3 78.55 M0.23 219.19 C41.62 175.53, 76.43 128.6, 119.5 82.66 M0.46 220.19 C34.29 176.71, 68.53 134.98, 115.53 85.62 M-3.68 225.72 C30.82 189.45, 58.64 157.84, 111.74 95.56 M0.84 227.37 C34.54 185.07, 69.52 144.67, 114.67 93.24 M2.67 228.74 C44.48 185.55, 85.21 140.96, 113.75 97.07 M1.03 229.85 C28.32 203.03, 54.85 173.76, 117.53 98.03 M0.04 233.99 C37.97 192.62, 75.49 149.16, 118.2 101.92 M1.13 236.88 C31.59 199.53, 67.12 160.06, 115.04 104.54 M-0.16 241.47 C32.08 205.82, 61.29 167.04, 118.65 108.06 M0.7 242.37 C28.04 211.17, 56.36 177.29, 116.38 110.4 M-2.26 251.12 C30.49 221.49, 55.37 190.42, 117.34 113.66 M0.89 250.08 C36.36 211.67, 71.86 168.25, 117.22 114.92 M0.67 252.11 C35.61 208.92, 70.27 169.5, 118.73 122.84 M-0.05 254.45 C33.39 219.13, 65.59 182.79, 113.8 124.29 M-2.11 260.07 C27.35 231.94, 60.02 192.71, 116.58 126.96 M0.79 261.29 C25.19 234.24, 51.41 207.26, 114.45 128.34 M2.56 266.85 C44.05 222.57, 83.81 175.16, 112.96 133.86 M1.02 269.05 C35.97 227.62, 68.3 186.6, 115.19 133.29 M3.49 273.54 C33.64 240.66, 62.52 203.55, 119.83 141.56 M1.27 273.34 C46.61 221.43, 93.68 167.5, 117.72 139 M-1.23 280.17 C43.77 227.51, 88.8 176.58, 118.83 147.34 M-0.77 280.14 C30.33 241.77, 62.77 205.44, 117.75 147.48 M0.69 280.74 C50.61 236.39, 96.26 181.52, 118.85 153.41 M3.17 284.3 C37.73 244.44, 75.11 200.04, 115.08 152.11 M4.9 286.71 C38.07 250.67, 65.32 214.62, 119.03 156.23 M9.49 284.59 C31.19 256.46, 54.32 229.31, 117.1 158.44 M16.71 285.07 C35.09 258.67, 59.68 227.36, 111.86 167.72 M13.63 285.2 C49.66 241.14, 86.64 198.43, 114.34 164.88 M17.96 285.98 C51.44 242.07, 89.83 201.15, 116.71 173.01 M17.38 282.92 C43.84 252.49, 74.19 220.44, 114.59 172 M20.17 286.82 C52.03 252.71, 77.56 221.85, 115.62 179.45 M22.51 282.7 C47.32 256.35, 69.39 233.53, 115.08 179.02 M26.75 285.19 C59.66 255.01, 87.92 225.17, 118.88 182.38 M29.51 282.1 C59.66 253.52, 86.93 221.64, 116.66 185.01 M32.76 287.93 C68.55 245.78, 95.36 213.59, 112.05 186.32 M33.88 283.87 C62.96 247.5, 95.6 214.91, 115.26 189.72 M43.17 284.07 C60.41 261.49, 75.14 242.57, 115.02 194.29 M40.85 284.34 C62.58 255.6, 88.08 227.52, 117.48 194.28 M48.62 285.88 C64.62 260.32, 86.61 228.86, 119.56 205.52 M45.63 282.03 C64.47 257.99, 84.15 235.22, 114.63 202.45 M50.98 286.58 C72.52 253.67, 95.93 229.67, 113.13 208.47 M51.49 282.84 C75.68 255.24, 100.45 227.76, 115.01 209.15 M58.42 281.62 C76.72 261.37, 87.94 242.5, 112.41 210.54 M53.34 284.79 C70.01 268.5, 83.28 251.82, 114 213.67 M56.41 281.92 C84.04 260.23, 102.09 234.83, 118.38 219.37 M61.21 282.81 C74.56 266.69, 87.4 252.83, 117.59 220.46 M65.34 287.61 C87.29 259.65, 102.1 240.72, 119.32 224.07 M66.37 281.96 C83.78 262.65, 101.1 241.35, 113.92 227.84 M68.22 281.06 C82.67 271.33, 102.91 254.22, 116.43 232.95 M69.59 285.95 C81.18 269.92, 94.9 257.75, 115.34 233.27 M77.02 287.82 C91.5 267.17, 97.56 260.24, 115.55 234.57 M75.84 285.63 C89.14 268.63, 102.7 255.08, 114.71 237.9 M84.32 281.71 C92.24 272.44, 98.8 267.83, 112.79 243.43 M82.6 283.48 C89.58 273.6, 98.71 265.11, 115.45 243.69 M89.64 285.71 C90.75 276.37, 98.39 265.04, 113.53 249.26 M86.59 282.13 C94.11 274.3, 102.81 262.66, 115.11 250.31 M91.13 285.07 C97.34 277.22, 106.13 268.78, 119.44 254.26 M91.99 284.85 C99.19 276.23, 107.36 265.63, 116.85 255.79 M95.86 280.23 C100.67 278.1, 115.4 270.71, 114.15 262.85 M97.23 284.04 C100.25 277.98, 104.92 274.92, 115.59 261.79 M103.55 287.86 C110.05 281.4, 109.05 277.78, 118.89 266.66 M103.22 285.77 C107.07 278.06, 113.1 271.2, 114.22 270.14 M108.66 282.7 C110.88 279.98, 110.44 278.92, 114.85 274.82 M108.26 282.9 C109.52 281.71, 111.45 279.11, 114.6 275.78" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M0.87 0.25 C31.13 1.47, 60.99 -2.27, 114.29 0.2 M0.08 -1.19 C32.99 -1.27, 67.05 -0.57, 114.65 -1.36 M117.83 -2.71 C118.02 105.1, 117.11 213.39, 116.94 281.44 M115.42 1.46 C118.93 75.3, 117.32 150.19, 116.18 281.99 M117.4 283.31 C79.43 282.13, 46.56 282.99, -1.39 279.89 M115.34 280.78 C92.59 282.25, 69.84 283.99, -0.02 283.85 M0.86 283.04 C3.77 217.9, -0.18 156.74, -1.38 -2.63 M-0.11 282.41 C5.08 182.68, 5.65 85.8, 0.62 -0.28" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(580.0199966430664 186.633743380311) rotate(0 50.980003356933594 50)"><text x="50.980003356933594" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Optimize </text><text x="50.980003356933594" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">and deploy</text><text x="50.980003356933594" y="50" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">model for </text><text x="50.980003356933594" y="75" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">inference</text></g><g stroke-linecap="round" transform="translate(700.5 95.63374338031099) rotate(0 62 141)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M1.06 5.1 C2.77 5.9, 2.44 3.65, 3.62 -0.48 M-0.94 7.19 C2.07 3.66, 4.13 2.54, 5.48 0.31 M0.65 12.98 C1.71 9.19, 2.69 7.86, 12.97 0.35 M-1.25 10.94 C1.19 9.36, 5.55 7.32, 9.22 1.16 M1.06 19.46 C0.55 14.13, 6.24 9.42, 14.95 -1.24 M-1.97 20.08 C4.53 13.9, 9.45 10.81, 15.52 1.53 M1.8 21.47 C3.25 19.78, 16.34 5.8, 24.24 0.73 M0.92 24.45 C7.18 17.11, 14.09 8.77, 20.65 -0.45 M-2.38 31.04 C11.47 15.96, 21.87 9.42, 29.55 -2.86 M-0.46 31.28 C8.6 20.08, 15.58 9.75, 24.71 0.79 M-2.65 37.92 C7.13 24.02, 22.16 18.23, 30.92 -1.05 M0.94 36.95 C10.12 26.45, 18.86 17.38, 32.9 1.12 M3.13 39.08 C12 26.87, 24.76 13.96, 40.03 -1.62 M-1.71 43.46 C7.73 34.49, 14.84 26.17, 35.4 -0.4 M-2.59 52 C9.99 34.38, 20.1 18.14, 42.49 -2.18 M-1.61 47.23 C7.93 39.08, 18.58 28.78, 42.12 -1.12 M0.52 56.31 C15.57 36.79, 28.56 23.98, 45.56 2.93 M-0.23 56.3 C14.91 40.12, 26.44 24.72, 46.95 1.79 M-1.53 58.92 C12.7 49.97, 30.16 29.5, 56.38 3.55 M0.96 62.88 C18.02 42.23, 37.43 19.91, 54.53 -0.22 M0.53 67.68 C11.87 49.32, 31.96 30.3, 57.79 -1.24 M-1.45 68.53 C18.02 47.16, 35.85 25.12, 56.46 1.46 M2.22 72.65 C18.33 50.38, 39.81 26.59, 66.5 1.85 M-1.25 72.98 C25.4 44.03, 48.51 18.69, 62.11 1.04 M-3.6 83.39 C17.77 62.33, 31.93 38.53, 68.9 1.33 M0.92 78.85 C25.83 50.27, 52.11 19.19, 66.79 -1.08 M-1.19 86.65 C17.84 61.29, 36.92 36.32, 71.26 -2.07 M-0.37 84.87 C21.31 58.29, 42.42 33.75, 74.58 -1.9 M-0.13 95.42 C30.82 61.31, 54.86 23.75, 75.54 -2.4 M0.95 90.45 C20.25 67.89, 46.23 40.62, 78.54 0.76 M-1.75 98.64 C28.75 62.45, 59.89 34.8, 81.58 0.5 M0.53 96.88 C23.57 67.11, 51.29 41.43, 83.44 0.69 M3.87 106.47 C25.4 80.26, 46.69 57.14, 86.89 2.03 M-0.87 104.06 C31.91 67.49, 58.77 33.71, 90.06 -0.18 M1.01 107.57 C28.1 80.49, 60.16 49.32, 96.87 -2.22 M-1.86 111.33 C38 63.6, 76.36 20.41, 93.91 0.74 M-2.18 114.76 C33.55 76.89, 67.5 34.12, 100.6 0.58 M1.69 114.63 C26.87 79.41, 57.35 47.54, 101.47 -0.82 M2.11 118.14 C38.43 79.54, 76.46 36.62, 105.05 -2.54 M0.89 123.06 C39.87 71.55, 84.59 23.93, 104.97 0.48 M-1.04 130.75 C28.92 95.45, 54.7 61.08, 110.84 -1.29 M-0.05 128.11 C33.82 86.19, 71.08 44.44, 110.62 0.16 M1.71 137.83 C26.78 102.33, 57.73 73.83, 113.86 3.53 M-0.35 132.41 C39.94 87.79, 80.67 44.09, 116.7 1.11 M-0.98 142.13 C25.14 108.88, 58.97 73.93, 124.27 -2.62 M0.95 138.47 C33.35 102.81, 62.55 70.19, 121.11 -1.65 M-3.54 145.59 C51.63 90.07, 96.18 33.39, 128.24 -1.31 M-0.98 145.94 C29.58 108.43, 62.52 68.76, 127.57 1.34 M0.26 150.39 C33.2 112.74, 65.16 75.12, 129.5 8.61 M-0.48 152.15 C22.3 118.97, 48.31 90.52, 127.74 7.14 M2.89 156.65 C33.27 124.88, 68.22 78.74, 125.05 10.96 M0.69 157.26 C29.68 126.04, 58.71 95.17, 125.29 11.94 M2.11 167.72 C52.55 105.56, 97.54 49.43, 128.82 21.32 M0.89 165.12 C36.11 127.87, 69.82 89.2, 124.23 19.57 M-4.03 171.44 C43.38 129.26, 74.54 83.76, 127.41 27.49 M-1.9 171.94 C32.37 134.74, 67.01 93.06, 125.03 25.54 M0.46 177.84 C39.68 130.51, 74.16 87.48, 121.67 35.22 M0.04 175.58 C27.64 145.9, 56.77 115.96, 126.73 34.22 M1.2 180.19 C41.23 133.11, 85.57 89.59, 129.72 41.49 M0.43 184.05 C40.53 140.11, 78.14 91.46, 126.51 39.61 M3.07 192.72 C26.83 156.33, 58.02 119.02, 126.02 47.75 M1.04 188.75 C39.62 144.01, 76.88 97.29, 127.16 46.15 M1.25 191.86 C42.35 145.29, 82.72 95.89, 122.9 49.67 M-0.72 193.19 C26.11 164.32, 52.75 136.87, 127.21 49.86 M0.19 201.55 C39.86 150.46, 82.4 106.18, 122.38 54.13 M-0.31 201.81 C49.68 145.9, 94.52 92.05, 125.2 54.94 M-0.72 210.91 C48.09 156.73, 92.03 104.03, 125.71 60.99 M0.03 205.18 C40.23 166.92, 74.99 123.11, 125.72 62.99 M0.55 215.3 C41.35 164.37, 86.72 115.47, 128.42 68.31 M-0.44 212.5 C37.63 170.98, 74.99 125.84, 126.97 69.7 M2.3 222.05 C43.58 170.58, 86.11 118.79, 123.37 77.66 M1.11 220.86 C31.19 182.36, 60.36 145.67, 124.31 73.7 M2.08 223.69 C41.98 177.55, 86.53 124.01, 126.31 83.77 M-1.37 224 C41.99 182.28, 81.49 134.77, 124.32 81.73 M-0.21 235.24 C36.12 185.99, 77.31 145.9, 127.65 83.64 M0.7 233.06 C31 196.41, 63.47 158.41, 125.07 85.2 M-0.81 235.92 C48.66 186.44, 87.21 142.41, 126.04 90.21 M0.63 237.79 C46.24 183.11, 89.74 133.19, 126.21 93.39 M-0.25 242.19 C38.46 191.91, 79.42 143.12, 123.45 97.64 M0.74 243.11 C49.29 189.21, 98.32 133.33, 124.48 98.21 M-1.86 249.46 C43.05 202.81, 88.79 150.91, 128.11 102.59 M-1.61 250.31 C33.92 211.69, 69.46 169.91, 125.29 106.99 M-0.65 253.36 C35.05 222.47, 70.33 182.97, 124.18 109.88 M1.58 257.83 C35.37 217.55, 68.98 177.97, 124.76 111.67 M3.66 263.01 C40.23 212.31, 85.23 161.47, 127.5 117.62 M0.45 262.02 C25.92 229.65, 53.65 193.51, 126.02 117.37 M0.25 266.72 C47.35 214.61, 94.08 154.4, 123.12 122.82 M1.35 266.33 C48.85 210.71, 100.48 156.44, 125.25 123.56 M-1.01 273.04 C40.32 222.48, 83.42 178.24, 124.39 126.76 M-0.87 273.88 C33.88 235.01, 71.99 192.56, 127.25 128.86 M-0.03 284.47 C31.81 242.61, 64.97 209.79, 127.98 132.16 M-0.78 280.67 C25.32 247.48, 53.91 214.71, 124.98 135.81 M-1.47 284.49 C38.15 245.29, 70.1 210.94, 123.45 140.97 M3.13 286.08 C32.57 249.56, 60.36 213.9, 125.6 140.05 M10.34 285.02 C52.01 239.78, 88.18 196.63, 125.02 147.37 M6 283.89 C36.29 243.02, 66.75 210.19, 126.78 146.89 M9.75 284.52 C49.26 246.02, 79.09 207.02, 125.17 151.48 M11.49 283.79 C55.72 231.91, 98.99 182.52, 126.75 152.52 M16.64 283.62 C55 243.52, 91.17 196.46, 129.66 156.66 M19.13 282.59 C58.23 236.71, 104.96 185.59, 127.87 160.76 M21.54 281.17 C62.7 239.83, 98.44 204.39, 128.55 166.73 M21.92 283.77 C56.46 243.39, 90.47 206.76, 124.13 167.84 M27.89 287.24 C67.57 237.16, 108.92 195.59, 129.81 175.73 M29.1 281.89 C68.42 237.82, 101.8 195.95, 127.25 171.62 M35.8 284.14 C53.09 258.27, 68.62 243.91, 127.07 176.93 M34.39 283.22 C54.19 262.63, 72.24 238.63, 126.93 180.1 M36.27 287.35 C69.58 250.73, 101.31 217.05, 125.22 184.56 M38.76 282.11 C63.19 256.41, 85.64 227.55, 124.98 184.68 M42.96 282.63 C69.17 250.25, 101.53 224.66, 127.42 191.05 M46.64 285.61 C66.87 263.27, 84.42 240.38, 126.77 188.89 M45.78 287.67 C63.83 262.71, 85.93 243.93, 122.13 196.34 M48.06 282.6 C73.36 255.97, 93.34 229.23, 124.85 197.15 M53.92 285.37 C72.85 260.22, 89.93 238.22, 124.75 205.56 M54.15 284.64 C83.52 251.43, 107.91 221.51, 124.99 204.03 M58.89 285.14 C84.34 257.6, 104.6 229.75, 129.29 206.05 M60.67 282.67 C82.31 256.85, 106.31 230.9, 126.45 210.73 M68.1 280.57 C82.22 264.42, 98.74 246.99, 126.06 213.15 M66.14 284.27 C81.78 267.32, 96.95 247.31, 124.05 214.36 M72.62 282.48 C84.99 268.61, 100.09 251.34, 128.62 219.39 M72.04 286.16 C87.34 268.38, 99.81 251.53, 127.75 220.63 M73.42 283.92 C89.02 267.79, 101.32 255.06, 128.85 223.79 M77.6 282.7 C92.94 266.53, 105.68 248.53, 126.11 228.7 M81.13 285.16 C92.04 264.86, 111.13 250.66, 121.87 230.33 M80.02 282.4 C95.16 267.65, 108.69 251.14, 123.82 233.07 M86.29 282.65 C95.16 267.79, 111.01 260.35, 125.11 237.19 M85.25 284.4 C102.88 266.17, 119.49 250.15, 125.13 240.4 M91.08 286.12 C96.95 277.16, 105.37 271.92, 125.28 242.07 M92.22 282.98 C106.89 270.31, 116.34 254.67, 125.46 246.24 M95.62 283.47 C100.93 274.82, 111.81 270.03, 128.01 247.82 M99.58 284.06 C104.76 273.73, 113.66 264.52, 125.45 252.27 M105.65 281.84 C110.33 271.19, 118.93 265.12, 125.59 255.57 M101.99 285.72 C108.57 280.58, 111.27 274.79, 127.24 258.85 M110.83 280.58 C112.85 278.78, 118.81 276.53, 122.55 262.38 M108.82 282.66 C114.96 278.03, 120.05 273.36, 124.54 262.17 M116.33 280.47 C117.56 284.18, 121.99 281.21, 122.88 266.71 M112.49 282.79 C115.21 281.18, 118.35 276.44, 126.14 271.04 M120.45 285.71 C122.36 282.05, 123.21 280.01, 124.93 274.5 M119.01 283.55 C120.18 280.66, 123.51 279.95, 126.59 276.04" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M-2.03 -0.06 C45.73 5.11, 95.97 0.38, 121.03 -3.45 M0.26 1.06 C47.47 -1.37, 93.38 -2.71, 123.1 -1.3 M124 2 C126.95 81.32, 127.8 161.14, 122.91 279.11 M124.72 -1.06 C119.59 90.36, 120.05 180.64, 125.45 282.07 M120.28 278.65 C78.45 279.06, 32.17 279.07, 1.61 282.32 M122.3 283.92 C94.37 284.3, 59.71 282.11, 0.2 282.12 M-1.49 280.49 C-4.18 191.63, -3.32 103.31, -2.38 1.39 M1.5 280.95 C-4.22 198.33, -1.91 113.89, -1.07 0.92" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(705.9799957275391 174.133743380311) rotate(0 56.52000427246094 62.5)"><text x="56.52000427246094" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Augment </text><text x="56.52000427246094" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">model and </text><text x="56.52000427246094" y="50" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">build LLM- </text><text x="56.52000427246094" y="75" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">powered </text><text x="56.52000427246094" y="100" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">applications</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/08/20230807-serverless-meeting-minutes-architecture-gcp.svg b/assets/2023/08/20230807-serverless-meeting-minutes-architecture-gcp.svg
new file mode 100644
index 0000000..330e672
--- /dev/null
+++ b/assets/2023/08/20230807-serverless-meeting-minutes-architecture-gcp.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 967.7148075598193 654.0012025153208" width="1935.4296151196386" height="1308.0024050306415">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="967.7148075598193" height="654.0012025153208" fill="#ffffff"></rect><g stroke-linecap="round"><g transform="translate(69.47008371374477 350.3235811480399) rotate(0 119.78729891458443 -0.6453310165907169)"><path d="M1.11 1.29 C93.32 0.84, 183.95 -1.29, 237.95 -1.31 M-1.43 -0.69 C55.44 0.21, 111.32 0.8, 241.01 -2.58" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(69.47008371374477 350.3235811480399) rotate(0 119.78729891458443 -0.6453310165907169)"><path d="M214.38 9.82 C225.09 3.27, 234.04 -2, 237.41 -0.38 M211.31 7.44 C219 5.94, 225.59 5, 241.09 -1.9" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(69.47008371374477 350.3235811480399) rotate(0 119.78729891458443 -0.6453310165907169)"><path d="M213.95 -10.7 C225.19 -9.4, 234.31 -6.83, 237.41 -0.38 M210.89 -13.08 C218.9 -9.83, 225.6 -6.01, 241.09 -1.9" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(385.9734704114949 345.1564503633763) rotate(0 85.04764680175072 -0.9481716214105518)"><path d="M1.56 -1.29 C37.58 -4.35, 71.93 -0.35, 167.22 -0.46 M-0.39 0.05 C46.95 2.26, 94.49 0.54, 170.49 -2.94" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(385.9734704114949 345.1564503633763) rotate(0 85.04764680175072 -0.9481716214105518)"><path d="M144.31 7.21 C148.67 3.34, 151.41 5.41, 167.75 -0.6 M142.36 8.56 C150.37 7.19, 158.43 3.06, 171.02 -3.08" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(385.9734704114949 345.1564503633763) rotate(0 85.04764680175072 -0.9481716214105518)"><path d="M143.45 -13.29 C148.13 -12.62, 151.06 -5.99, 167.75 -0.6 M141.5 -11.94 C149.4 -7.62, 157.69 -6.05, 171.02 -3.08" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(584.9140392314221 388.06752064163766) rotate(0 -2.055985350820606 75.25151800598951)"><path d="M-2.1 -0.35 C0.74 28.69, -1.13 60.55, -0.98 152.28 M-0.79 -1.77 C1.77 52.77, -1.35 106.23, -4.27 151.86" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(584.9140392314221 388.06752064163766) rotate(0 -2.055985350820606 75.25151800598951)"><path d="M-14.96 122.77 C-11.22 127.26, -10.41 134.36, -0.55 152.56 M-13.65 121.34 C-8.67 131.98, -7.04 141.6, -3.84 152.14" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(584.9140392314221 388.06752064163766) rotate(0 -2.055985350820606 75.25151800598951)"><path d="M5.52 123.97 C5.12 127.86, 1.8 134.71, -0.55 152.56 M6.84 122.54 C4.48 132.88, -1.2 142.07, -3.84 152.14" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(532.6510899519888 585.9944413225535) rotate(0 -80.34309514180882 -97.79363154452778)"><path d="M-0.41 -1.46 C-33.96 -42.15, -64.26 -82.69, -160.83 -192.87 M0.47 -1.09 C-53.38 -68.9, -106.28 -132.04, -161.16 -194.5" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(532.6510899519888 585.9944413225535) rotate(0 -80.34309514180882 -97.79363154452778)"><path d="M-135.45 -181.71 C-141.78 -183.55, -142.18 -185.43, -158.89 -190.73 M-134.36 -181.25 C-144.38 -187.19, -151.79 -189.76, -159.29 -192.74" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(532.6510899519888 585.9944413225535) rotate(0 -80.34309514180882 -97.79363154452778)"><path d="M-150.96 -168.28 C-153.86 -172.94, -150.98 -177.67, -158.89 -190.73 M-149.88 -167.82 C-154.64 -177.93, -156.91 -184.96, -159.29 -192.74" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(640.379997253418 357.06752064163766) rotate(0 85.32000732421875 12.5)"><text x="85.32000732421875" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">export transcript</text></g><g transform="translate(555.4700050354004 445.06752064163766) rotate(0 37.22999954223633 12.5)"><text x="37.22999954223633" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">failures</text></g><g transform="translate(143.86000061035156 362.06752064163766) rotate(0 54.840003967285156 12.5)"><text x="54.840003967285156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">notification</text></g><g transform="translate(438.77000427246094 354.06752064163766) rotate(0 31.93000030517578 12.5)"><text x="31.93000030517578" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">trigger</text></g><g stroke-linecap="round" transform="translate(339.5092482827206 313.3291422932723) rotate(0 2.9049414942202816 16.65335990252254)"><path d="M-0.84 -0.26 L4.03 0.67 L7.03 31.96 L-0.28 33.42" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.14 0.51 C1.16 -0.47, 3.25 0.44, 5.53 0.53 M-0.14 0.17 C1.29 0.05, 2.95 0.2, 5.84 -0.04 M6.02 1.8 C4.26 12.77, 7.45 26.89, 6.5 33.74 M5.98 -0.18 C5.62 10.12, 5.09 20.98, 4.85 33.39 M5.96 32.74 C4.7 33.29, 3.04 33.21, 0.19 33.88 M5.87 33.17 C4.02 33.46, 1.79 33.14, 0.2 33.08 M1.07 32.17 C-0.54 20.75, -0.63 9.75, 1.13 -1.95 M0.09 34.06 C0 21.25, 0.11 7.91, -0.07 -0.86" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(357.161222717418 343.334033316519) rotate(119.99999999999997 2.9049414942202816 16.65335990252254)"><path d="M-1.78 0.67 L7.03 -1.34 L5.53 33.42 L0.18 34.14" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.39 -0.43 C2.23 0.42, 3.89 0.48, 5.53 0.48 M-0.18 0.1 C2.26 0.21, 4.52 -0.07, 6.03 0.19 M4.05 0.22 C7.27 10.88, 6.54 18.65, 6.14 33.85 M5.53 -0.41 C5.06 7.36, 4.9 14.97, 5.46 32.87 M6.24 33.34 C4.89 33.2, 3.52 33.82, 0.14 33.35 M5.91 33.46 C3.78 33.11, 2.46 33.06, 0.09 33.28 M-0.57 31.79 C-0.84 21.02, 0.95 9.72, 1.49 -0.51 M-0.09 33.72 C0 19.57, -0.09 5.88, -0.42 -0.13" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(321.37372610500825 344.4850538305934) rotate(239.99999999999994 2.9049414942202816 16.65335990252254)"><path d="M1.22 -1.34 L5.53 0.11 L5.99 34.14 L-0.56 31.75" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.15 0.48 C1.98 0.58, 4.23 0.52, 6.31 -0.28 M0.02 0.25 C2.11 -0.06, 4.37 0.16, 5.73 0.03 M7.24 1.77 C6.21 13.43, 5.84 26.54, 4.28 33.64 M5 -0.09 C4.75 9.46, 5.37 18.33, 4.95 33.56 M6.13 33.26 C4.83 33.88, 3.6 33.35, 0.03 33.42 M5.56 33.14 C4.55 33.12, 2.97 33.31, 0.07 33.46 M-0.66 31.84 C1.22 23.27, 1.58 16.61, 1.98 0.17 M0.03 32.85 C-0.04 19.96, -0.39 8.2, -0.89 0.34" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(332.42407355173737 302.8645482295283) rotate(0 9.753802345941551 9.753802345941494)"><path d="M11.82 -0.45 C13.77 -0.43, 15.61 1.05, 16.84 2.6 C18.06 4.16, 19 6.81, 19.17 8.86 C19.35 10.91, 19.03 13.22, 17.89 14.93 C16.75 16.63, 14.33 18.5, 12.35 19.08 C10.37 19.65, 7.83 19.35, 6.01 18.37 C4.18 17.38, 2.24 15.11, 1.39 13.15 C0.55 11.19, 0.47 8.57, 0.95 6.6 C1.43 4.63, 2.59 2.45, 4.28 1.32 C5.97 0.2, 9.73 0.1, 11.08 -0.17 C12.43 -0.44, 12.23 -0.61, 12.39 -0.28 M6.67 1.17 C8.47 0.19, 10.83 -1.29, 12.8 -0.53 C14.76 0.23, 17.53 3.79, 18.46 5.72 C19.39 7.65, 18.83 9.15, 18.4 11.03 C17.96 12.91, 17.18 15.58, 15.87 16.98 C14.56 18.39, 12.63 19.58, 10.53 19.45 C8.44 19.33, 4.96 17.67, 3.31 16.25 C1.66 14.84, 1.07 13.04, 0.64 10.96 C0.21 8.89, -0.41 5.67, 0.73 3.8 C1.87 1.93, 6.64 0.11, 7.48 -0.28 C8.31 -0.67, 5.7 1.09, 5.75 1.46" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M14.94 0.52 C16.95 1.05, 18.51 3.22, 19.26 5.23 C20.01 7.24, 20.01 10.44, 19.47 12.57 C18.93 14.7, 17.83 16.71, 16 17.99 C14.18 19.26, 10.65 20.51, 8.53 20.22 C6.42 19.92, 4.73 17.71, 3.33 16.22 C1.93 14.73, 0.51 13.3, 0.13 11.28 C-0.26 9.25, -0.32 5.77, 1.02 4.08 C2.36 2.4, 5.77 1.55, 8.16 1.16 C10.56 0.78, 14.07 1.52, 15.37 1.76 C16.67 2, 16.21 2.47, 15.94 2.6 M7.66 -0.09 C9.45 -0.27, 12.04 0.76, 13.87 1.86 C15.7 2.97, 18.07 4.47, 18.64 6.53 C19.22 8.59, 18.35 12.03, 17.31 14.23 C16.28 16.42, 14.11 18.74, 12.45 19.7 C10.79 20.66, 9.16 20.64, 7.36 20 C5.56 19.37, 2.64 17.67, 1.67 15.88 C0.69 14.1, 1.3 11.45, 1.51 9.3 C1.72 7.15, 1.66 4.64, 2.94 2.97 C4.21 1.31, 8.09 -0.36, 9.17 -0.68 C10.24 -1, 9.64 0.89, 9.38 1.03" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(365.73201170215975 357.92586259312) rotate(0 9.753802345941551 9.753802345941494)"><path d="M10.68 -0.68 C12.52 -0.59, 15.01 0.89, 16.57 2.39 C18.14 3.88, 19.77 6.13, 20.06 8.3 C20.34 10.46, 19.46 13.55, 18.27 15.39 C17.08 17.23, 14.95 18.86, 12.91 19.35 C10.88 19.84, 8.01 19.31, 6.05 18.34 C4.1 17.38, 2.19 15.49, 1.18 13.57 C0.17 11.65, -0.43 8.88, -0.02 6.81 C0.38 4.74, 1.56 2.37, 3.6 1.14 C5.64 -0.08, 10.49 -0.62, 12.21 -0.54 C13.92 -0.46, 14.05 1.32, 13.91 1.6 M9.62 -1.16 C11.61 -1.21, 14.95 1.7, 16.43 3.19 C17.9 4.69, 18.2 5.9, 18.46 7.79 C18.73 9.68, 18.79 12.68, 18 14.54 C17.22 16.4, 15.72 18.39, 13.74 18.96 C11.75 19.52, 8.09 18.76, 6.08 17.93 C4.07 17.11, 2.77 15.88, 1.68 14.03 C0.6 12.18, -0.94 8.95, -0.44 6.82 C0.05 4.7, 3.03 2.3, 4.64 1.28 C6.24 0.27, 8.13 0.83, 9.18 0.73 C10.23 0.64, 11.01 0.52, 10.96 0.7" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M14.24 0.21 C16.03 0.99, 17.88 3.51, 18.85 5.5 C19.82 7.5, 20.65 10.03, 20.08 12.18 C19.5 14.32, 17.11 17.21, 15.39 18.38 C13.67 19.56, 11.81 19.33, 9.76 19.22 C7.72 19.11, 4.89 19.09, 3.12 17.71 C1.36 16.33, -0.69 13.02, -0.82 10.94 C-0.95 8.86, 0.99 6.95, 2.35 5.23 C3.71 3.51, 5.28 1.22, 7.36 0.61 C9.44 0, 13.6 1.32, 14.82 1.6 C16.05 1.87, 14.85 2.21, 14.71 2.26 M6.32 0.33 C8.35 -0.29, 11.98 -0.53, 13.85 0.5 C15.71 1.54, 16.9 4.28, 17.51 6.52 C18.13 8.76, 17.98 11.87, 17.56 13.93 C17.13 15.98, 16.53 17.87, 14.98 18.86 C13.43 19.86, 10.08 20.28, 8.24 19.91 C6.4 19.53, 5.31 18.24, 3.96 16.61 C2.6 14.98, 0.37 12.41, 0.11 10.14 C-0.15 7.87, 1.03 4.52, 2.39 3 C3.75 1.47, 7.58 1.58, 8.27 1 C8.95 0.42, 6.38 -0.3, 6.5 -0.46" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(300.16039276123047 360.03721000779524) rotate(0 9.753802345941551 9.753802345941494)"><path d="M6.68 -0.34 C8.69 -1.05, 12.14 -1.07, 14.23 -0.15 C16.33 0.77, 18.24 3.12, 19.24 5.17 C20.24 7.22, 20.71 10.09, 20.22 12.15 C19.73 14.2, 18.06 16.29, 16.28 17.52 C14.5 18.75, 11.83 19.64, 9.54 19.51 C7.26 19.38, 4.29 18.26, 2.56 16.74 C0.84 15.23, -0.63 12.63, -0.8 10.41 C-0.98 8.2, -0.2 5.09, 1.5 3.46 C3.21 1.83, 7.92 1.18, 9.42 0.63 C10.91 0.08, 10.51 0.08, 10.48 0.16 M11.96 0.94 C13.84 1.33, 15.24 1.72, 16.49 3.19 C17.74 4.65, 19.21 7.57, 19.45 9.75 C19.69 11.92, 19.32 14.75, 17.93 16.21 C16.53 17.68, 13.19 18.28, 11.06 18.52 C8.92 18.77, 6.98 18.8, 5.11 17.68 C3.25 16.56, 0.42 13.89, -0.16 11.82 C-0.74 9.76, 0.89 6.95, 1.64 5.3 C2.38 3.64, 2.46 2.65, 4.3 1.88 C6.15 1.12, 11.64 0.82, 12.69 0.71 C13.75 0.59, 10.65 0.98, 10.62 1.2" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M7.75 0.36 C9.69 -0.12, 13.08 0.07, 14.87 1.1 C16.67 2.13, 17.71 4.71, 18.52 6.56 C19.34 8.4, 20.3 10.15, 19.77 12.18 C19.23 14.21, 17.3 17.51, 15.32 18.74 C13.33 19.97, 9.83 19.78, 7.86 19.56 C5.88 19.34, 4.7 18.9, 3.45 17.42 C2.2 15.93, 0.61 12.84, 0.37 10.65 C0.13 8.46, 0.48 6.04, 2.03 4.29 C3.57 2.55, 7.79 0.81, 9.63 0.19 C11.48 -0.43, 13.04 0.59, 13.08 0.59 M8.81 -0.65 C10.81 -0.82, 12.89 0.83, 14.4 2.4 C15.9 3.97, 17.13 6.65, 17.82 8.77 C18.5 10.88, 19.24 13.32, 18.5 15.08 C17.75 16.83, 15.07 18.54, 13.37 19.27 C11.67 19.99, 10.25 20.11, 8.3 19.42 C6.34 18.72, 2.95 17.02, 1.63 15.08 C0.32 13.14, 0.05 9.71, 0.38 7.76 C0.72 5.8, 2.39 4.79, 3.67 3.36 C4.94 1.92, 6.91 -0.13, 8.02 -0.85 C9.14 -1.56, 10.07 -1.22, 10.37 -0.94" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(329.9941513828919 337.91882654441656) rotate(0 12.297797741209251 12.297797741209251)"><path d="M8.31 -0.1 C10.76 -1.09, 14.33 -0.64, 16.9 0.37 C19.48 1.37, 22.36 3.65, 23.75 5.92 C25.13 8.19, 25.69 11.39, 25.22 13.98 C24.74 16.58, 23.06 19.75, 20.89 21.51 C18.72 23.26, 15.05 24.52, 12.21 24.52 C9.36 24.53, 5.83 23.3, 3.81 21.53 C1.8 19.76, 0.46 16.31, 0.12 13.9 C-0.21 11.49, 0.48 9.33, 1.81 7.08 C3.14 4.82, 6.75 1.46, 8.11 0.37 C9.46 -0.71, 9.7 0.41, 9.94 0.58 M6.7 0.37 C8.92 -0.9, 13.18 -0.63, 16 0.26 C18.81 1.14, 22.21 3.55, 23.61 5.69 C25.01 7.82, 24.83 10.51, 24.41 13.07 C23.99 15.63, 23.12 19.29, 21.08 21.05 C19.03 22.81, 14.7 23.6, 12.13 23.62 C9.57 23.65, 7.82 22.53, 5.7 21.2 C3.58 19.87, -0.01 17.99, -0.57 15.63 C-1.13 13.28, 1.16 9.39, 2.35 7.07 C3.53 4.75, 5.49 2.56, 6.54 1.72 C7.6 0.87, 8.44 1.92, 8.68 2" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M9.45 0.68 C11.7 -0.1, 14.46 0.76, 16.86 1.71 C19.26 2.65, 22.59 4, 23.84 6.35 C25.1 8.71, 25.23 13.23, 24.41 15.86 C23.59 18.5, 20.89 20.56, 18.91 22.16 C16.92 23.76, 14.9 25.57, 12.47 25.47 C10.05 25.37, 6.37 23.46, 4.34 21.58 C2.3 19.7, 0.8 16.79, 0.27 14.17 C-0.26 11.55, -0.51 8.24, 1.16 5.86 C2.84 3.47, 8.51 0.92, 10.32 -0.15 C12.14 -1.22, 12 -0.65, 12.04 -0.56 M11.49 0.4 C13.84 0.64, 16.93 2.48, 19.11 4.32 C21.29 6.17, 24 8.96, 24.58 11.46 C25.15 13.97, 23.75 17.22, 22.58 19.37 C21.4 21.52, 19.99 23.64, 17.51 24.37 C15.04 25.11, 10.37 24.94, 7.74 23.76 C5.11 22.58, 2.87 19.51, 1.71 17.29 C0.55 15.08, 0.49 13.07, 0.78 10.47 C1.08 7.88, 1.3 3.65, 3.47 1.71 C5.64 -0.22, 12.2 -0.87, 13.83 -1.14 C15.46 -1.41, 13.37 -0.43, 13.25 0.1" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(366.6674302083836 324.05676358676897) rotate(0 7.876828482704866 7.876828482704809)"><path d="M5.8 0.27 C7.33 -0.22, 9.83 -0.06, 11.43 0.51 C13.02 1.09, 14.6 2.29, 15.38 3.73 C16.15 5.17, 16.53 7.46, 16.07 9.13 C15.61 10.81, 14.08 12.72, 12.59 13.76 C11.1 14.79, 8.79 15.44, 7.15 15.33 C5.52 15.23, 3.9 14, 2.79 13.11 C1.68 12.22, 0.89 11.52, 0.48 9.99 C0.07 8.46, -0.55 5.51, 0.32 3.92 C1.18 2.32, 4.63 1.06, 5.69 0.41 C6.76 -0.23, 6.78 -0.08, 6.68 0.05 M9.72 -0.1 C11.61 0.28, 14.17 1.92, 15.16 3.19 C16.15 4.46, 15.84 5.9, 15.66 7.53 C15.48 9.17, 15.33 11.79, 14.06 12.99 C12.79 14.19, 9.67 14.65, 8.06 14.75 C6.46 14.85, 5.85 14.25, 4.41 13.59 C2.98 12.93, -0.08 12.19, -0.55 10.79 C-1.01 9.38, 0.97 6.71, 1.61 5.18 C2.25 3.65, 1.8 2.28, 3.32 1.6 C4.83 0.92, 9.67 1.27, 10.72 1.09 C11.78 0.92, 9.8 0.76, 9.63 0.55" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M8.02 0.78 C9.59 0.67, 12.49 0.61, 13.79 1.76 C15.08 2.92, 15.8 5.96, 15.78 7.69 C15.77 9.42, 14.47 10.74, 13.67 12.16 C12.88 13.59, 12.42 15.72, 11.02 16.26 C9.62 16.8, 6.92 16.13, 5.27 15.39 C3.61 14.66, 2.06 13.34, 1.08 11.84 C0.11 10.34, -0.89 8.14, -0.59 6.4 C-0.3 4.66, 1.29 2.57, 2.85 1.39 C4.41 0.21, 7.59 -0.39, 8.79 -0.69 C10 -1, 10.03 -0.66, 10.09 -0.45 M4.7 1.31 C6.48 0.94, 9.87 1.03, 11.6 1.7 C13.32 2.38, 14.15 3.87, 15.03 5.36 C15.91 6.84, 17.34 9.06, 16.87 10.6 C16.4 12.14, 13.84 13.87, 12.22 14.6 C10.61 15.33, 8.77 15.07, 7.16 14.97 C5.55 14.87, 3.99 15.27, 2.58 14 C1.17 12.73, -1.31 9.38, -1.3 7.37 C-1.28 5.36, 1.34 3.17, 2.66 1.94 C3.98 0.72, 5.98 0.16, 6.64 0.03 C7.29 -0.1, 6.76 1.06, 6.57 1.15" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(302.3192105217113 323.0836666216594) rotate(0 7.876828482704866 7.876828482704809)"><path d="M5.18 1 C6.55 0.19, 8.73 -0.26, 10.28 0.09 C11.84 0.43, 13.67 1.73, 14.51 3.07 C15.34 4.41, 15.57 6.49, 15.29 8.1 C15.02 9.72, 13.93 11.63, 12.86 12.74 C11.78 13.86, 10.29 14.39, 8.82 14.79 C7.35 15.19, 5.54 15.93, 4.02 15.15 C2.5 14.38, 0.27 11.84, -0.29 10.15 C-0.86 8.46, -0.35 6.66, 0.64 5 C1.62 3.34, 4.8 0.95, 5.61 0.19 C6.42 -0.56, 5.44 0.39, 5.5 0.46 M7.36 0.08 C8.91 -0.4, 10.29 -0.64, 11.69 0.14 C13.09 0.92, 15.28 3.2, 15.77 4.77 C16.26 6.34, 15.15 8.04, 14.66 9.55 C14.16 11.06, 14.29 12.71, 12.8 13.85 C11.31 14.98, 7.38 16.44, 5.72 16.37 C4.05 16.31, 3.95 14.76, 2.81 13.48 C1.68 12.21, -1.09 10.37, -1.1 8.74 C-1.11 7.11, 1.51 5.13, 2.75 3.72 C3.99 2.32, 5.71 1.06, 6.35 0.3 C6.98 -0.47, 6.69 -1.15, 6.59 -0.87" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M8.96 -0.25 C10.61 -0.24, 12.41 1.83, 13.38 3.04 C14.36 4.26, 14.52 5.39, 14.82 7.06 C15.12 8.74, 15.9 11.66, 15.17 13.09 C14.45 14.52, 12.2 15.25, 10.49 15.64 C8.78 16.02, 6.66 16.06, 4.93 15.38 C3.19 14.71, 0.89 13.19, 0.08 11.59 C-0.74 9.99, -0.42 7.59, 0.03 5.79 C0.47 3.99, 1.08 1.83, 2.76 0.76 C4.43 -0.31, 8.55 -0.65, 10.06 -0.63 C11.57 -0.61, 11.94 0.72, 11.84 0.86 M8.98 0.88 C10.8 0.88, 12.18 1.88, 13.55 3.04 C14.93 4.21, 17.11 6.26, 17.22 7.87 C17.34 9.49, 15.46 11.58, 14.24 12.74 C13.02 13.91, 11.48 14.35, 9.9 14.84 C8.32 15.33, 6.52 16.47, 4.76 15.67 C2.99 14.87, -0.14 11.93, -0.7 10.05 C-1.26 8.17, 0.59 5.87, 1.39 4.38 C2.2 2.88, 2.79 1.67, 4.1 1.09 C5.41 0.5, 8.61 1.08, 9.26 0.87 C9.91 0.65, 8.28 -0.12, 8.01 -0.21" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(334.5087978637273 379.0854533685947) rotate(0 7.876828482704866 7.876828482704809)"><path d="M7.63 -0.02 C9.11 -0.34, 11.33 0.36, 12.55 1.28 C13.77 2.19, 14.65 3.93, 14.94 5.47 C15.23 7.01, 14.88 9.08, 14.28 10.5 C13.68 11.92, 12.66 13.04, 11.36 13.99 C10.06 14.93, 8.22 16.42, 6.48 16.17 C4.75 15.92, 2.01 13.94, 0.94 12.51 C-0.13 11.08, -0.19 9.3, 0.07 7.59 C0.33 5.88, 1.33 3.5, 2.5 2.26 C3.68 1.01, 5.97 0.57, 7.11 0.13 C8.26 -0.31, 9.3 -0.51, 9.37 -0.4 M6.94 -0.84 C8.46 -1.16, 11.45 0.05, 12.76 0.97 C14.07 1.89, 14.25 3.16, 14.79 4.71 C15.34 6.25, 16.74 8.4, 16.02 10.22 C15.31 12.05, 12.02 14.7, 10.51 15.67 C9 16.64, 8.62 16.41, 6.94 16.03 C5.26 15.64, 1.42 14.64, 0.42 13.34 C-0.57 12.04, 0.69 10.02, 0.96 8.23 C1.24 6.44, 1.05 4.15, 2.08 2.6 C3.11 1.04, 6.45 -0.88, 7.13 -1.11 C7.8 -1.33, 6.28 0.88, 6.15 1.26" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M10.94 1.48 C12.21 2.05, 13.06 2.81, 13.96 4.29 C14.85 5.78, 16.44 8.74, 16.29 10.41 C16.14 12.08, 14.49 13.37, 13.07 14.31 C11.64 15.24, 9.63 16.09, 7.76 16.02 C5.88 15.95, 3.15 15.11, 1.84 13.89 C0.53 12.67, 0.07 10.52, -0.11 8.69 C-0.28 6.85, -0.12 4.43, 0.79 2.89 C1.7 1.35, 3.52 -0.21, 5.36 -0.58 C7.2 -0.95, 10.72 0.44, 11.84 0.67 C12.95 0.91, 12.11 0.83, 12.08 0.84 M10.64 1.05 C12.4 1.46, 15.43 3.06, 16.27 4.47 C17.12 5.88, 16.24 8.05, 15.7 9.53 C15.17 11, 14.34 12.14, 13.09 13.31 C11.83 14.48, 10.14 16.61, 8.18 16.55 C6.23 16.48, 2.53 14.37, 1.36 12.93 C0.18 11.49, 1.08 9.46, 1.12 7.9 C1.17 6.35, 0.86 4.73, 1.63 3.61 C2.4 2.5, 4.36 1.8, 5.74 1.21 C7.12 0.63, 9.26 0.29, 9.9 0.12 C10.54 -0.05, 9.65 -0.14, 9.56 0.19" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(642.0799942016602 585.0675206416377) rotate(0 96.62001037597656 12.5)"><text x="96.62001037597656" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Dead-Letter Queue</text></g><g stroke-linecap="round" transform="translate(30.002171967022605 318.22618153030953) rotate(0 4.356773591587682 16.496501386366504)"><path d="M0.68 -0.47 L7.85 -1.29 L9.96 31.9 L-1.14 33.97" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.09 0.79 C2.52 0.12, 7.19 0.8, 9.02 0.19 M0.07 -0.08 C2.64 -0.11, 5.16 0.03, 8.29 0.03 M9.23 -1.95 C10.06 8.87, 9.66 17.35, 9.38 34.96 M8.91 -0.48 C9.07 11.22, 7.87 20.81, 9.4 32.23 M9.18 32.5 C5.58 32.35, 2.65 32.38, 0.49 32.15 M8.75 33.32 C5.41 33.26, 2.2 32.88, -0.03 32.62 M0.67 34.21 C-1.3 24.19, 0.16 16.13, 0.83 -0.56 M-0.63 32.63 C-0.08 25.44, 0.56 18.28, -0.05 -0.59" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(111.47674541428273 318.22618153030953) rotate(0 4.356773591587682 16.496501386366504)"><path d="M-0.86 -1.29 L9.96 -1.1 L7.58 33.97 L1.24 33.66" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.77 0.09 C3 0.69, 5.07 0.11, 8.86 0.24 M-0.12 -0.18 C1.6 -0.02, 3.48 0.05, 8.56 -0.19 M10.21 0.12 C9.89 6.89, 9.47 16.06, 9.19 33.14 M9.05 0.53 C7.91 9.52, 9.47 19.42, 9.03 32.89 M8.47 32.33 C5.59 32.3, 3.54 32.1, 0.65 32.77 M8.67 33.17 C5.25 32.86, 1.74 32.68, -0.18 32.94 M-1.34 32.71 C0 26.21, 0.72 18.51, -1.55 0.26 M-0.04 32.77 C0.81 21.45, 0.16 9.39, 0.34 -0.24" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(40.01273475303492 318.22618153030953) rotate(0 34.47519406846345 16.496501386366504)"><path d="M1.25 -1.1 L67.81 0.97 L70.19 33.66 L-1.47 34.06" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.43 1.77 C27.6 0.36, 54.14 0.47, 67.42 0.34 M-0.81 -0.09 C18.46 0.36, 38.5 -0.16, 68.09 0.26 M70.04 -0.16 C69.87 8.65, 69.68 13.51, 69.07 33.39 M68.08 -0.57 C69.75 7.55, 69.38 16.52, 69.2 33.53 M68.29 31.53 C53.32 30.53, 36.93 31.96, 1.98 33.17 M68.98 32.54 C43.04 32.42, 16.83 33.15, -0.89 33.33 M0.11 33.17 C1.05 20.53, -1.33 9.44, 0.97 -1.25 M0.61 32.96 C-0.04 23.71, 0.35 15.37, -0.43 -0.64" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(48.55423953654906 331.10642501271127) rotate(0 12.62369526289848 2.5698412510466824)"><path d="M-1.14 0.97 L26.49 0.66 L23.78 6.21 L1.26 6.29" stroke="none" stroke-width="0" fill="white"></path><path d="M0.69 0.43 C8.17 0.32, 14.17 0.11, 24.88 -0.55 M-0.96 0.08 C6.19 -0.42, 12.21 0.28, 24.27 0.75 M25.42 0.51 C25.4 1.61, 25.31 3.25, 25 5.31 M25.42 -0.2 C25.28 1.79, 25.27 3.77, 25.1 5.07 M26.37 3.19 C21.07 4.45, 15.9 5.13, 1.5 4.96 M25.18 4.28 C16.21 4.89, 7.12 5.36, 0.61 4.47 M0.21 5 C-0.4 3.74, 0.25 1.88, -0.19 -0.02 M-0.01 4.99 C0.06 3.65, -0.14 2.12, 0.16 -0.14" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(88.68062233254454 328.6526506437326) rotate(0 6.659907964691115 6.152480169344926)"><path d="M1.24 0.66 L11.85 1.07 L14.58 13.45 L-0.14 12.53" stroke="none" stroke-width="0" fill="white"></path><path d="M0.22 0.36 C4.16 0.19, 10.11 -0.4, 12.77 -1.07 M-0.23 -0.29 C3.3 0.16, 7.11 0.49, 13.36 0.36 M13.62 0.09 C13.43 3.84, 12.77 7.6, 13.97 11.23 M13.51 -0.06 C13.56 3.32, 13.05 5.8, 12.85 12.1 M14.31 11.97 C11.62 12.29, 8.28 12.06, 0.55 12.34 M13.04 12.22 C9.34 12.41, 6.95 11.74, -0.09 12.34 M-0.96 12.46 C0.55 7.73, -0.5 4.66, -0.27 0.75 M0.21 12.16 C-0.26 8.26, 0.39 4.67, -0.35 0.3" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(31.07579062615116 358.6357907169597) rotate(0 4.356773591587682 16.496501386366504)"><path d="M-1.47 1.07 L9.98 1.15 L8.58 33.21 L0.14 31.45" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.67 0.15 C2.64 -0.27, 5.25 -0.73, 8.64 -0.84 M-0.38 0.11 C2.26 0.36, 5.39 0.28, 8.68 0.15 M8.83 0.4 C7.83 13.81, 9.85 24.55, 7.57 34.37 M8.96 0.54 C8.25 7.09, 8.06 14.42, 7.98 33.56 M9.57 33.07 C7.6 32.89, 5.54 32.99, -0.4 32.94 M8.33 33.14 C7.12 32.69, 4.93 33.01, 0.04 33.17 M0.97 31.74 C-0.47 23.94, -0.18 16.24, -0.07 -0.1 M-0.43 32.35 C0.51 24.5, -0.68 17.58, 0.62 0.33" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(112.55036407341004 358.6357907169597) rotate(0 4.356773591587682 16.496501386366504)"><path d="M1.26 1.15 L8.58 0.22 L8.86 31.45 L-1.18 34.4" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.16 -0.24 C2.49 -0.72, 5.62 -0.85, 8.78 -0.3 M-0.42 0.33 C2.26 0.21, 4.43 0.12, 9.14 0.1 M7.75 0.67 C9.79 8.39, 7.59 21.65, 7.18 33.62 M8.14 -0.29 C8.04 9.22, 8.06 19.67, 7.74 33.74 M9.37 32.92 C6.68 33.02, 3.53 32.94, -0.75 32.63 M8.98 32.7 C6.15 33.05, 3.75 33.2, -0.12 32.65 M-0.73 32.92 C-0.6 23.88, -0.23 12.24, -1.18 0.68 M0.62 32.45 C-0.43 24.36, 0.76 15.09, -0.73 0.53" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(41.086353412163476 358.6357907169597) rotate(0 34.47519406846345 16.496501386366504)"><path d="M-0.14 0.22 L69.1 -1.54 L67.77 34.4 L-1.02 33.44" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-0.82 -1.61 C21.67 -1.73, 43.85 -0.5, 68.07 -1.73 M0.06 0.54 C22.38 -0.18, 45.9 -0.28, 69.02 0.06 M70.01 -1.74 C67.65 11.94, 67.26 21.75, 68.74 33.49 M68.19 -0.33 C68.03 12.23, 67.79 24.08, 68.7 33.98 M69.78 33.05 C46.76 32.8, 24.67 32.1, -0.26 31.21 M68.81 33.05 C46.03 32.95, 22.66 31.75, 0.13 33.48 M-0.44 34.21 C0.05 25.06, -1.06 18.01, -0.47 -0.86 M-0.57 33.48 C0.42 25.55, -0.94 17.97, 0.63 0.57" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(49.627858195678186 371.5160341993626) rotate(0 12.62369526289848 2.5698412510466824)"><path d="M0.14 -1.54 L24.07 1.4 L24.23 5.59 L1.62 6.48" stroke="none" stroke-width="0" fill="white"></path><path d="M-0.17 -1.93 C7.03 -0.49, 12.87 -1.53, 25.76 -1.95 M-0.08 0.34 C10.45 0.1, 19 -0.08, 25.45 -0.48 M24.95 0.35 C24.88 1.88, 25.22 3.56, 25.52 4.85 M25.06 0.14 C24.96 1.59, 25.14 3.04, 25.27 5.33 M24.34 5.01 C16.17 4.31, 10.28 3.37, 0.67 6.36 M25.34 5.55 C19.09 4.38, 13.62 5.64, -0.63 4.78 M-0.02 5.11 C-0.29 3.79, -0.11 1.87, -0.33 0.32 M0.16 5.22 C-0.16 4.02, 0.19 2.77, -0.02 0.03" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(89.75424099167253 369.0622598303828) rotate(0 6.659907964691115 6.152480169344926)"><path d="M-1.18 1.4 L12.3 0.45 L14.94 13.65 L1.11 13.01" stroke="none" stroke-width="0" fill="white"></path><path d="M0.11 -0.46 C2.34 -1.02, 6.19 -1.17, 14.32 0.08 M0.66 0.16 C4.77 -0.01, 9.58 -0.37, 13.54 0.35 M12.38 0.39 C13.12 2.93, 13.91 4.54, 12.97 11.37 M12.72 0.46 C13.07 3.89, 13.28 7.03, 13.27 12.56 M12.17 11.75 C9.11 11.11, 5.7 13.11, -0.89 12.12 M13.13 11.79 C9.33 12.68, 4.76 12.12, -0.02 12.16 M-0.73 12.73 C-0.29 7.34, -0.79 4.2, -0.67 -0.7 M-0.45 12.63 C0.31 8.37, -0.12 3.79, 0.04 -0.47" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(10 287.06752064163766) rotate(0 69.70000457763672 12.5)"><text x="69.70000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Storage</text></g><g stroke-linecap="round" transform="translate(563.2425305246468 346.4884721511703) rotate(0 4.087539129938932 4.087539129938932)"><path d="M3.98 -0.05 C4.75 -0.16, 5.42 0.76, 6.07 1.25 C6.72 1.74, 7.7 1.97, 7.86 2.88 C8.02 3.78, 7.5 5.95, 7.02 6.69 C6.54 7.43, 5.63 7.02, 5.01 7.33 C4.38 7.65, 3.93 8.89, 3.24 8.57 C2.56 8.26, 1.36 6.21, 0.92 5.46 C0.47 4.71, 0.41 4.83, 0.58 4.08 C0.76 3.33, 1.33 1.6, 1.98 0.93 C2.62 0.27, 4.14 0.31, 4.45 0.08 C4.77 -0.15, 3.8 -0.44, 3.89 -0.47 M5.37 0.55 C6.09 0.24, 7.11 -0.22, 7.59 0.14 C8.07 0.51, 8.43 1.56, 8.25 2.76 C8.08 3.96, 7.07 6.57, 6.51 7.35 C5.96 8.13, 5.52 7.48, 4.94 7.44 C4.35 7.4, 3.96 7.23, 2.99 7.11 C2.02 6.99, -0.18 7.37, -0.86 6.72 C-1.55 6.06, -1.59 3.98, -1.13 3.18 C-0.67 2.38, 0.92 2.67, 1.89 1.91 C2.87 1.15, 4.35 -0.89, 4.73 -1.39 C5.11 -1.88, 4.39 -1.32, 4.18 -1.05" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M2.72 0.4 C3.36 0.12, 4.47 0.87, 5.28 1.07 C6.08 1.28, 7.06 1.09, 7.55 1.65 C8.04 2.21, 8.38 3.52, 8.23 4.44 C8.08 5.36, 7.15 6.69, 6.64 7.16 C6.13 7.63, 6.06 7.09, 5.18 7.27 C4.3 7.45, 2.3 8.51, 1.35 8.24 C0.39 7.97, -0.38 6.57, -0.57 5.66 C-0.76 4.75, -0.42 3.79, 0.2 2.8 C0.81 1.81, 2.69 0.27, 3.12 -0.28 C3.54 -0.84, 2.86 -0.57, 2.74 -0.53 M4.84 1.64 C5.92 1.82, 7.08 2.35, 7.61 2.93 C8.14 3.52, 8.13 4.57, 8.02 5.14 C7.91 5.71, 7.59 6.06, 6.96 6.35 C6.34 6.64, 5.25 6.73, 4.27 6.87 C3.28 7.01, 1.96 7.41, 1.05 7.19 C0.14 6.97, -1.26 6.56, -1.22 5.57 C-1.17 4.59, 0.76 2.14, 1.33 1.28 C1.9 0.42, 1.55 0.52, 2.22 0.44 C2.89 0.35, 4.93 1.01, 5.35 0.78 C5.78 0.56, 4.79 -1.01, 4.78 -0.92" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(581.9331970006083 346.1057086722915) rotate(0 4.087539129938932 4.087539129938932)"><path d="M4.72 0.53 C5.49 0.66, 6.83 0.67, 7.29 1.46 C7.76 2.24, 7.66 4.39, 7.5 5.24 C7.33 6.08, 6.76 5.93, 6.31 6.53 C5.85 7.12, 5.49 8.78, 4.76 8.79 C4.03 8.8, 2.62 7.13, 1.94 6.6 C1.25 6.07, 0.78 6.36, 0.63 5.61 C0.48 4.87, 0.7 3.01, 1.03 2.14 C1.36 1.27, 1.97 0.78, 2.63 0.39 C3.28 -0.01, 4.28 -0.19, 4.98 -0.24 C5.68 -0.28, 6.69 -0.17, 6.83 0.13 M5.97 -0.9 C6.65 -0.94, 7.47 -0.15, 7.69 0.93 C7.9 2.01, 7.43 4.64, 7.26 5.58 C7.08 6.51, 7.04 6.23, 6.65 6.56 C6.25 6.88, 5.92 7.25, 4.86 7.53 C3.81 7.82, 1.31 8.65, 0.3 8.25 C-0.72 7.84, -1.27 5.92, -1.23 5.1 C-1.18 4.28, -0.09 4.36, 0.59 3.32 C1.26 2.28, 2.07 -0.44, 2.82 -1.15 C3.57 -1.85, 4.82 -1.14, 5.08 -0.92 C5.33 -0.71, 4.13 -0.13, 4.36 0.12" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M4.55 0.99 C5.33 0.98, 6.44 0.66, 7.05 1.11 C7.66 1.56, 8.19 2.79, 8.19 3.7 C8.2 4.61, 7.46 6.01, 7.08 6.57 C6.7 7.14, 6.74 6.76, 5.9 7.1 C5.05 7.43, 3.03 8.7, 2 8.57 C0.97 8.45, 0.06 7.18, -0.28 6.34 C-0.61 5.49, -0.41 4.51, -0.02 3.51 C0.38 2.5, 1.35 1.01, 2.09 0.31 C2.84 -0.39, 3.98 -0.57, 4.45 -0.71 C4.92 -0.84, 4.76 -0.52, 4.89 -0.49 M5.7 1.4 C6.54 1.51, 7.14 2.28, 7.54 2.75 C7.95 3.21, 8.3 3.67, 8.14 4.21 C7.97 4.75, 7.34 5.36, 6.54 5.99 C5.75 6.61, 4.45 7.7, 3.37 7.98 C2.28 8.25, 0.46 8.38, 0.05 7.66 C-0.35 6.95, 0.9 4.63, 0.96 3.7 C1.01 2.76, 0.06 2.53, 0.38 2.05 C0.71 1.57, 2.11 1.33, 2.91 0.84 C3.71 0.35, 4.69 -0.93, 5.16 -0.88 C5.63 -0.84, 5.85 0.92, 5.74 1.09" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(600.607438875742 346.2024515667606) rotate(0 4.087539129938932 4.087539129938932)"><path d="M3.75 -0.43 C4.57 -0.45, 5.36 0.99, 5.99 1.52 C6.63 2.04, 7.18 1.85, 7.55 2.71 C7.91 3.57, 8.44 5.92, 8.16 6.67 C7.89 7.41, 6.72 6.84, 5.91 7.16 C5.1 7.48, 4.11 8.76, 3.32 8.59 C2.53 8.42, 1.7 6.99, 1.17 6.15 C0.65 5.31, 0.25 4.5, 0.16 3.55 C0.06 2.6, -0.25 1.1, 0.61 0.43 C1.48 -0.24, 4.55 -0.58, 5.37 -0.47 C6.19 -0.36, 5.54 0.83, 5.53 1.08 M4.89 -1.01 C5.48 -0.58, 5.83 1.55, 6.36 2.3 C6.88 3.04, 7.8 2.84, 8.06 3.47 C8.33 4.1, 8.68 5.14, 7.93 6.08 C7.19 7.02, 4.79 8.81, 3.59 9.1 C2.39 9.4, 1.29 8.27, 0.74 7.87 C0.2 7.47, 0.36 7.81, 0.31 6.71 C0.26 5.61, 0.2 2.49, 0.43 1.27 C0.66 0.05, 1.14 -0.37, 1.69 -0.61 C2.25 -0.84, 3.05 -0.24, 3.75 -0.13 C4.46 -0.01, 5.87 0.19, 5.95 0.07" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M4.17 0.07 C4.95 -0.14, 6.08 0.48, 6.65 1.06 C7.22 1.64, 7.34 2.88, 7.6 3.55 C7.87 4.23, 8.66 4.29, 8.23 5.12 C7.81 5.95, 6.09 8.03, 5.06 8.56 C4.04 9.09, 2.83 8.64, 2.08 8.3 C1.32 7.96, 0.78 7.41, 0.53 6.52 C0.28 5.63, 0.49 4, 0.57 2.97 C0.66 1.93, 0.41 0.91, 1.05 0.3 C1.69 -0.3, 3.58 -0.52, 4.42 -0.68 C5.25 -0.84, 5.91 -0.78, 6.08 -0.63 M5.89 1.11 C6.63 1.16, 7.6 1.4, 7.93 1.89 C8.26 2.39, 8.26 3.17, 7.87 4.08 C7.48 4.99, 6.56 6.61, 5.61 7.37 C4.66 8.13, 2.77 8.9, 2.16 8.64 C1.55 8.38, 2.34 6.52, 1.95 5.8 C1.55 5.08, -0.06 4.9, -0.21 4.3 C-0.37 3.69, 0.5 3.07, 1.01 2.18 C1.52 1.28, 1.97 -0.92, 2.84 -1.08 C3.71 -1.24, 5.85 1.04, 6.22 1.22 C6.59 1.4, 5.12 0.13, 5.05 0.01" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(567.0031251238877 313.44568793039366) rotate(0 -13.870392843262266 9.22673831923396)" fill-rule="evenodd"><path d="M-0.69 -1.81 L-26.23 27.84 L-28.66 9.52 L-9.36 -7.58 L-1.14 -1.84" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.67 1.97 C-7.77 8.71, -16.55 17.55, -28.43 28.72 M0.69 -0.76 C-9.62 9.64, -19.39 20.18, -28.04 27.77 M-26.42 26.23 C-25.96 23.38, -25.45 19.83, -25.83 9.18 M-27.53 27.25 C-27.78 21.55, -28.15 15.6, -26.66 8.72 M-26.4 8.79 C-23.67 4.26, -16.02 -2.58, -10.03 -9.37 M-27.28 8.75 C-22.02 3.93, -17.8 -1.66, -8.68 -9.85 M-8.87 -10.27 C-6.29 -6.27, -3.98 -4.93, 0.15 0.1 M-9.64 -9.16 C-6.75 -6.85, -4.84 -4.99, 0.24 -0.49 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(539.3224523390049 369.2957946277104) rotate(180 13.9681769909389 9.534230859550917)" fill-rule="evenodd"><path d="M1.24 -0.22 L26.04 28.23 L27.17 11.07 L8.16 -11.14 L1.24 -0.94" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.48 0.14 C8.24 8.33, 15.18 16.79, 28.53 26.31 M0.32 -0.11 C7.12 7.56, 12.97 13.55, 26.71 27.72 M28.86 27.58 C29.16 23.97, 28.66 19.41, 28.01 9.4 M27.08 27.93 C26.59 23.61, 27.93 17.9, 27.1 9.4 M25.68 9.6 C22.59 2.28, 15.35 -2.29, 8.86 -8.09 M27.57 9.11 C21.5 3.07, 17.23 -2.37, 8.73 -8.81 M10 -8.47 C6.72 -6.09, 2.74 -2.54, -1.01 -0.78 M9.83 -8.86 C6.17 -5.61, 2.6 -2.89, 0.04 -0.47 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(553.3802796234841 327.23939480754325) rotate(0 -6.479119807375241 23.411078065088986)" fill-rule="evenodd"><path d="M-1.43 0.17 L-0.29 48.15 L-14.84 32.19 L-12.27 13.04 L0.89 -1.63" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.12 0.4 C-0.94 19.17, 0.99 35.26, -1.37 47.81 M0.25 0.54 C-0.47 10.09, -0.71 20.42, -0.96 47 M1.58 46.59 C-1.68 43.72, -5.03 41.42, -14.54 33.91 M-1.04 46.74 C-2.5 43.15, -6.07 41.16, -13.62 34.41 M-12.73 32.78 C-14.23 28.5, -13.88 24.33, -13.58 13.88 M-14.13 33.39 C-13.1 28.65, -14.25 24.86, -12.89 14.31 M-12.4 13.85 C-10.31 10.87, -8.96 6.41, 1.36 -0.99 M-12.98 14.32 C-8.92 8.66, -4.86 4.19, -0.56 0.54 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(604.5766958560062 313.11543592451903) rotate(0 13.954267573112588 9.50158840867357)" fill-rule="evenodd"><path d="M-0.06 1.72 L26.33 26.21 L28.48 8.41 L10.19 -10.93 L-1.01 -1.1" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.96 0.67 C9.51 6.82, 15.75 18.56, 25.94 28.69 M-0.57 -0.29 C7.26 7.64, 15.24 16.66, 26.5 28.8 M28.87 27.89 C27.99 22.97, 26.3 17.66, 25.62 8.56 M28.04 27.43 C27.43 22.74, 27.58 17.71, 26.97 8.62 M26.5 9.27 C21.09 4.61, 15.85 -2.54, 8.12 -8.62 M27.86 8.8 C21.79 4.56, 18.03 -0.74, 8.57 -8.77 M9.45 -9.21 C4.96 -6.71, 3.52 -3.22, 0.29 1.06 M9.54 -9.79 C5.98 -6.32, 2.15 -2.08, -0.05 -0.27 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(632.8478264227397 368.4120657343401) rotate(180 -13.660763411699008 9.440306808894547)" fill-rule="evenodd"><path d="M-1.14 -1.84 L-26.23 27.11 L-26.34 7.72 L-10.31 -10.4 L-0.38 0.79" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M1.06 -1.74 C-10.07 10.45, -19.25 18.68, -27.68 28.55 M-0.76 -0.33 C-10.61 10.4, -20.56 20.5, -27.72 29.04 M-26.7 28.1 C-28.39 22.16, -29.08 15.72, -27.48 7.68 M-27.6 28.11 C-27.42 22.2, -27.68 14.84, -27.11 9.8 M-27.67 10.56 C-22.98 4.83, -19.83 1.18, -9.78 -10.16 M-27.8 9.83 C-22.5 5.38, -19.63 1.19, -8.67 -8.73 M-10.31 -10.08 C-5.64 -7.25, -3.55 -2.79, 0.88 0.73 M-9.26 -9.77 C-6.53 -5.75, -3.08 -3.27, 0.31 -0.28 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(618.3984244460671 327.20716687009053) rotate(0 6.867260183262033 23.590798935794055)" fill-rule="evenodd"><path d="M1.24 -0.94 L1.12 44.81 L12.69 32.93 L13.14 14.77 L1.26 -1.92" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-1.14 1.38 C-1.21 16.11, 0.19 31.46, 1.3 45.29 M-0.73 0.56 C-1.26 13.35, -0.48 26.2, 0.31 47.18 M-0.61 46.31 C2.52 42.05, 7.78 37.58, 14.32 35.14 M0.31 46.81 C3.13 42.83, 6.64 41.09, 13.13 33.7 M13.64 33.93 C12.51 28.77, 13.16 21.28, 12.23 15.23 M14.33 34.36 C13.04 29.65, 14.36 24.77, 13.44 14.09 M14.88 12.99 C9.9 11.18, 6.62 6.39, 0.68 0.7 M12.95 14.52 C10.39 10.33, 7.89 7.17, -0.78 0.64 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(512.1300048828125 277.06752064163766) rotate(0 75.56999969482422 12.5)"><text x="75.56999969482422" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Functions</text></g><g stroke-linecap="round" transform="translate(580.2842281549849 556.7429473210159) rotate(0 3.1098052461575207 17.827796564596156)"><path d="M1.83 0.42 L8.14 -1.52 L5.5 36.88 L-0.98 34.19" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.44 -0.36 C2.44 -0.05, 3.92 0.29, 5.95 -0.5 M0.01 0.25 C2.32 -0.3, 4.48 -0.25, 6 -0.04 M4.41 1.24 C5.98 12.03, 6.37 26.85, 7.94 34.52 M6.66 -0.81 C5.94 6.86, 6.25 15.22, 6.85 34.7 M5.97 35.13 C4.54 35.3, 1.89 35.43, -0.24 36.25 M6.25 35.42 C5.02 35.61, 3.66 35.74, 0.05 35.74 M0.6 35.75 C0.83 28.6, 1.76 19.14, -0.82 -1.12 M-0.64 35.33 C1.18 25.81, 0.51 16.7, -0.37 0.02" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(599.1810640503993 588.8638584306293) rotate(119.99999999999997 3.1098052461575207 17.827796564596156)"><path d="M1.92 -1.52 L5.5 1.23 L5.24 34.19 L-0.82 35.27" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.35 -0.05 C1.64 0.33, 3.54 -0.46, 6.63 -0.54 M0.04 -0.29 C1.89 -0.29, 3.72 -0.09, 6.46 -0.02 M6 -1.43 C6.07 9.4, 7.62 17.79, 4.38 36.9 M5.71 -0.55 C6.19 9.42, 7.01 17.09, 6.36 35.22 M6.49 35.35 C4.42 35.43, 3.24 36.2, -0.49 35.55 M6.39 35.57 C4.18 35.66, 1.8 35.69, -0.22 35.56 M0.72 36.79 C1.55 24.76, -0.93 13.04, -0.58 -1.8 M0.86 35.46 C0.42 26.45, -0.14 16.57, 0.92 0.21" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(560.8697435182839 590.0960517950143) rotate(239.99999999999994 3.1098052461575207 17.827796564596156)"><path d="M-0.72 1.23 L5.24 -1.47 L5.4 35.27 L-1.84 37.21" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.26 0.3 C1.24 -0.49, 3.43 -0.53, 6.32 0.03 M-0.07 -0.24 C2.16 0.02, 4.99 0.04, 6.11 -0.28 M6.39 -0.06 C7.9 11.76, 4.34 27.05, 5.28 36.54 M6.03 0.4 C6.67 6.84, 6.18 15.16, 5.42 35.26 M5.79 35.48 C4.64 36.22, 3.05 35.52, 0.37 35.72 M6.41 35.71 C4.89 35.72, 3.23 35.54, 0 35.75 M1.65 35.51 C-0.95 23.66, -0.71 12.11, -0.64 -1.28 M0.19 36 C-0.67 26.13, 0.61 16.77, 0.96 -0.76" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(572.6993891514485 545.5403638668963) rotate(0 10.441664923628196 10.441664923628196)"><path d="M7.14 0.69 C9.2 -0.08, 12.15 0.45, 14.34 1.19 C16.54 1.93, 19.3 3.38, 20.3 5.12 C21.29 6.87, 20.89 9.6, 20.32 11.66 C19.75 13.73, 18.58 16.09, 16.88 17.52 C15.19 18.95, 12.39 19.94, 10.15 20.24 C7.91 20.54, 5.13 20.62, 3.43 19.32 C1.73 18.03, 0.25 14.88, -0.03 12.48 C-0.31 10.07, 0.28 6.78, 1.73 4.88 C3.18 2.98, 7.17 1.69, 8.66 1.07 C10.16 0.45, 10.81 1.21, 10.71 1.17 M12.99 0.2 C14.95 1.09, 16.8 3.85, 17.88 6.01 C18.97 8.17, 19.41 11.31, 19.49 13.17 C19.57 15.02, 19.87 15.87, 18.37 17.12 C16.87 18.38, 12.86 20.58, 10.5 20.67 C8.14 20.76, 5.9 19.11, 4.2 17.67 C2.5 16.24, 0.62 14.05, 0.3 12.05 C-0.02 10.05, 1.33 7.62, 2.29 5.68 C3.25 3.75, 3.98 1.38, 6.07 0.45 C8.17 -0.49, 13.67 0.27, 14.84 0.08 C16.02 -0.12, 13.41 -0.8, 13.1 -0.72" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M6.52 0.88 C8.45 0.09, 12.36 -0.03, 14.31 0.58 C16.27 1.19, 17.3 2.78, 18.26 4.52 C19.21 6.26, 20.17 8.63, 20.04 11.02 C19.9 13.4, 18.95 17.27, 17.44 18.85 C15.92 20.44, 13.3 20.43, 10.94 20.52 C8.57 20.62, 5.05 20.81, 3.26 19.4 C1.46 17.99, 0.5 14.37, 0.16 12.08 C-0.18 9.79, -0.13 7.71, 1.22 5.67 C2.58 3.64, 7.22 0.65, 8.29 -0.13 C9.37 -0.91, 7.83 0.67, 7.66 1 M6.03 1.45 C8.21 0.38, 12.17 -1.44, 14.39 -1 C16.62 -0.56, 18.5 2.05, 19.38 4.06 C20.25 6.07, 20.13 8.62, 19.62 11.06 C19.11 13.5, 17.89 17.24, 16.33 18.7 C14.78 20.16, 12.39 19.91, 10.3 19.83 C8.21 19.75, 5.22 19.61, 3.78 18.24 C2.35 16.88, 2.21 13.59, 1.72 11.66 C1.23 9.73, 0.06 8.64, 0.85 6.65 C1.64 4.65, 5.41 0.7, 6.48 -0.3 C7.54 -1.3, 7.04 0.25, 7.24 0.64" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(608.3562865467864 604.4847400648007) rotate(0 10.441664923628196 10.441664923628196)"><path d="M10.88 0.57 C13.09 0.43, 16.46 1.16, 18.04 2.42 C19.61 3.68, 20.14 6.07, 20.33 8.14 C20.51 10.21, 20.27 12.91, 19.15 14.83 C18.04 16.74, 15.73 18.6, 13.62 19.64 C11.51 20.68, 8.55 21.73, 6.48 21.09 C4.4 20.45, 2.16 17.94, 1.17 15.79 C0.18 13.64, 0.08 10.27, 0.52 8.19 C0.96 6.11, 1.96 4.51, 3.81 3.31 C5.65 2.11, 10.31 1.55, 11.58 1 C12.85 0.45, 11.37 0.06, 11.42 0 M5.32 1.86 C7.14 1.24, 10.05 1.55, 12.54 1.91 C15.03 2.27, 18.97 2.37, 20.28 4.03 C21.58 5.69, 20.85 9.66, 20.37 11.87 C19.9 14.08, 19.04 15.88, 17.42 17.28 C15.81 18.68, 12.76 20.03, 10.68 20.25 C8.61 20.48, 6.78 19.99, 4.97 18.64 C3.16 17.28, 0.21 14.38, -0.2 12.1 C-0.6 9.82, 1.47 7.1, 2.55 4.97 C3.63 2.83, 5.61 0.12, 6.26 -0.72 C6.92 -1.55, 6.35 -0.68, 6.46 -0.05" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M6.88 1.09 C8.57 0.03, 10.35 -0.32, 12.24 0.13 C14.13 0.58, 16.84 1.78, 18.25 3.79 C19.66 5.79, 20.8 9.88, 20.71 12.16 C20.63 14.45, 19.46 15.96, 17.75 17.51 C16.03 19.06, 12.65 21.34, 10.41 21.47 C8.17 21.59, 5.97 19.66, 4.31 18.26 C2.65 16.86, 0.84 15.22, 0.43 13.08 C0.02 10.94, 0.84 7.42, 1.86 5.42 C2.87 3.42, 5.41 1.84, 6.5 1.07 C7.59 0.29, 8.33 0.8, 8.4 0.78 M8.55 -1.05 C10.64 -1.96, 13.25 -0.79, 14.93 0.27 C16.61 1.33, 17.92 3.07, 18.65 5.3 C19.38 7.53, 19.77 11.57, 19.3 13.66 C18.82 15.76, 17.48 16.77, 15.81 17.88 C14.14 18.98, 11.13 20.47, 9.26 20.29 C7.39 20.1, 6.18 18.06, 4.6 16.74 C3.02 15.43, 0.23 14.61, -0.21 12.39 C-0.65 10.17, 0.53 5.48, 1.97 3.42 C3.41 1.35, 7.34 0.42, 8.44 -0.01 C9.55 -0.43, 8.64 0.54, 8.59 0.84" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(538.1603927612305 606.7449849887282) rotate(0 10.441664923628196 10.441664923628196)"><path d="M11.53 -0.07 C13.53 -0.34, 15.45 0.71, 16.94 2.05 C18.43 3.39, 20.12 5.78, 20.47 7.98 C20.82 10.18, 20.2 13.04, 19.03 15.25 C17.86 17.45, 15.55 20.35, 13.45 21.2 C11.35 22.05, 8.41 21.38, 6.44 20.36 C4.47 19.33, 2.66 16.92, 1.62 15.07 C0.59 13.23, -0.19 11.26, 0.23 9.29 C0.64 7.32, 2.22 4.82, 4.14 3.24 C6.05 1.67, 9.95 0.31, 11.72 -0.16 C13.49 -0.63, 14.77 0.25, 14.74 0.41 M8.13 1.39 C10.61 0.69, 15.24 -0.21, 17.24 0.8 C19.23 1.81, 19.65 5.29, 20.12 7.44 C20.59 9.59, 20.93 11.76, 20.07 13.72 C19.22 15.69, 16.86 18.08, 15 19.23 C13.14 20.38, 11.17 21.14, 8.93 20.63 C6.69 20.12, 2.83 18.08, 1.56 16.17 C0.28 14.27, 1.11 11.63, 1.28 9.22 C1.44 6.81, 1.25 3.4, 2.56 1.72 C3.86 0.03, 7.99 -0.88, 9.12 -0.89 C10.26 -0.91, 9.24 1.08, 9.35 1.64" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M9.73 -0.23 C11.6 -0.46, 14.75 0.25, 16.56 1.9 C18.38 3.54, 20.18 7.36, 20.64 9.63 C21.1 11.9, 20.6 13.63, 19.31 15.52 C18.02 17.4, 15.02 20.29, 12.89 20.95 C10.76 21.61, 8.46 20.38, 6.54 19.46 C4.62 18.54, 2.28 17.37, 1.37 15.43 C0.46 13.49, 0.79 9.91, 1.06 7.83 C1.33 5.74, 1.29 4.13, 2.99 2.92 C4.69 1.7, 9.79 1.02, 11.29 0.53 C12.78 0.04, 12 -0.09, 11.96 -0.03 M12.7 -0.44 C14.46 -0.01, 16.25 1.36, 17.4 3.32 C18.56 5.29, 19.59 9.18, 19.61 11.35 C19.64 13.51, 18.88 14.83, 17.54 16.3 C16.2 17.78, 13.44 19.88, 11.6 20.2 C9.75 20.51, 8.34 19.09, 6.45 18.17 C4.56 17.25, 1.21 16.79, 0.28 14.68 C-0.65 12.56, -0.12 7.78, 0.88 5.48 C1.88 3.18, 4.19 1.72, 6.28 0.88 C8.37 0.04, 12.36 0.47, 13.43 0.45 C14.5 0.44, 13.08 0.75, 12.72 0.81" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(570.0981027835596 583.0667577102129) rotate(0 13.165069247654856 13.165069247654856)"><path d="M16.43 -0.04 C18.87 0.41, 22.23 2.62, 23.82 4.95 C25.4 7.28, 26.24 10.86, 25.93 13.96 C25.62 17.05, 23.97 21.45, 21.95 23.54 C19.93 25.62, 16.54 26.51, 13.84 26.49 C11.13 26.48, 7.97 24.97, 5.73 23.42 C3.49 21.87, 1.09 19.73, 0.4 17.21 C-0.3 14.7, 0.45 11.05, 1.56 8.31 C2.68 5.56, 4.08 1.99, 7.1 0.75 C10.12 -0.48, 17.49 0.62, 19.67 0.9 C21.85 1.19, 20.42 2.32, 20.19 2.45 M19.03 -0.05 C21.73 0.55, 23.24 4.33, 24.43 6.83 C25.62 9.32, 26.68 12.23, 26.16 14.91 C25.64 17.6, 23.36 21.02, 21.29 22.94 C19.22 24.85, 16.65 26.46, 13.75 26.4 C10.86 26.34, 5.99 24.55, 3.93 22.58 C1.86 20.6, 1.75 17.51, 1.36 14.53 C0.98 11.56, 0.35 7.21, 1.59 4.74 C2.84 2.26, 6.09 0.08, 8.84 -0.31 C11.58 -0.71, 16.46 1.88, 18.04 2.36 C19.62 2.85, 18.49 2.69, 18.3 2.6" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M13.21 -0.67 C16.03 -0.51, 19.94 2.39, 22.11 4.4 C24.27 6.4, 26.01 8.56, 26.19 11.34 C26.38 14.12, 24.8 18.77, 23.23 21.06 C21.67 23.35, 19.33 24.39, 16.79 25.08 C14.25 25.77, 10.42 26.31, 7.99 25.2 C5.57 24.1, 3.66 20.88, 2.24 18.46 C0.82 16.04, -0.99 13.28, -0.55 10.7 C-0.12 8.13, 2.09 4.8, 4.87 3.02 C7.65 1.24, 13.78 0.25, 16.14 0.05 C18.5 -0.16, 18.9 1.39, 19.04 1.79 M5.89 0.89 C7.94 -0.28, 11.92 0.43, 14.75 0.97 C17.57 1.51, 21.01 2.08, 22.87 4.11 C24.73 6.15, 25.66 10.37, 25.9 13.17 C26.14 15.96, 26.19 18.55, 24.31 20.87 C22.43 23.2, 17.63 26.74, 14.62 27.11 C11.61 27.49, 8.45 24.85, 6.26 23.12 C4.06 21.38, 2.17 19.18, 1.45 16.73 C0.73 14.27, 0.95 10.85, 1.94 8.38 C2.92 5.91, 6.64 3.07, 7.34 1.88 C8.05 0.7, 6.09 1.06, 6.15 1.26" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(609.357673109578 568.2271073440943) rotate(0 8.432322161163938 8.432322161163938)"><path d="M7.83 -0.89 C9.56 -1.08, 11.87 -0.26, 13.29 1.14 C14.71 2.55, 15.96 5.63, 16.36 7.53 C16.76 9.44, 16.42 11.18, 15.69 12.57 C14.96 13.97, 13.59 15.08, 11.95 15.88 C10.31 16.68, 7.6 17.71, 5.86 17.37 C4.11 17.04, 2.58 15.62, 1.5 13.87 C0.41 12.13, -1 8.94, -0.68 6.91 C-0.36 4.88, 1.66 2.86, 3.4 1.69 C5.13 0.51, 8.24 0.06, 9.74 -0.16 C11.23 -0.38, 12.16 0.3, 12.38 0.36 M11.7 0.63 C13.17 1.27, 15.42 2.34, 16.24 3.91 C17.06 5.49, 16.93 8.15, 16.61 10.07 C16.29 12, 15.86 14.4, 14.29 15.47 C12.73 16.54, 8.99 16.74, 7.22 16.49 C5.44 16.23, 4.92 15.39, 3.65 13.92 C2.38 12.45, -0.01 9.56, -0.41 7.67 C-0.81 5.78, 0.16 3.58, 1.27 2.58 C2.38 1.57, 4.39 1.71, 6.24 1.65 C8.08 1.59, 11.5 2.39, 12.34 2.21 C13.18 2.03, 11.47 0.89, 11.27 0.57" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M7.31 0.83 C9.12 0.58, 11.62 0.07, 13 1.03 C14.38 2, 15.09 4.95, 15.6 6.62 C16.11 8.29, 16.62 9.49, 16.07 11.04 C15.52 12.6, 13.77 15.09, 12.32 15.93 C10.86 16.77, 9.29 16.38, 7.36 16.07 C5.44 15.77, 2.06 15.38, 0.76 14.1 C-0.55 12.82, -0.58 10.39, -0.46 8.4 C-0.34 6.41, 0.19 3.58, 1.48 2.15 C2.76 0.72, 6.06 0.06, 7.23 -0.16 C8.41 -0.39, 8.59 0.61, 8.54 0.81 M5.36 0.85 C7.09 0.31, 9.86 -0.71, 11.6 -0.07 C13.35 0.56, 14.76 3.01, 15.82 4.65 C16.87 6.3, 18.43 7.84, 17.91 9.8 C17.39 11.77, 14.42 15.48, 12.68 16.45 C10.94 17.42, 9.08 16.09, 7.48 15.64 C5.87 15.18, 4.14 14.82, 3.05 13.72 C1.96 12.61, 1.11 10.7, 0.94 9.03 C0.77 7.36, 1.24 5.23, 2.02 3.68 C2.79 2.13, 4.79 0.21, 5.57 -0.26 C6.35 -0.74, 6.47 0.51, 6.68 0.81" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(540.4714557586776 567.185385143101) rotate(0 8.432322161163938 8.432322161163938)"><path d="M5.77 -0.31 C7.39 -0.59, 9.85 0.72, 11.53 1.59 C13.2 2.46, 14.9 3.5, 15.81 4.92 C16.72 6.33, 17.37 8.22, 16.97 10.09 C16.57 11.97, 14.9 14.88, 13.42 16.16 C11.94 17.45, 10 18.14, 8.07 17.81 C6.13 17.47, 3.06 15.64, 1.82 14.15 C0.59 12.65, 0.85 10.64, 0.66 8.84 C0.47 7.04, -0.3 4.92, 0.7 3.32 C1.7 1.72, 5.38 -0.11, 6.67 -0.77 C7.96 -1.44, 8.24 -1.05, 8.45 -0.66 M5.72 -0.55 C7.38 -1.3, 9.57 -0.92, 11.42 -0.1 C13.28 0.71, 16.04 2.72, 16.86 4.34 C17.68 5.96, 16.64 7.91, 16.34 9.61 C16.04 11.3, 16.45 13.54, 15.06 14.51 C13.66 15.49, 10.01 15.55, 7.95 15.46 C5.88 15.36, 3.99 14.62, 2.66 13.91 C1.34 13.21, 0.23 12.63, 0.02 11.23 C-0.19 9.84, 0.61 7.41, 1.42 5.55 C2.22 3.69, 4.25 1.11, 4.87 0.08 C5.48 -0.94, 4.77 -0.98, 5.11 -0.61" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M5.5 0.16 C6.95 -0.55, 8.73 0.57, 10.42 1.13 C12.1 1.69, 14.56 2.05, 15.63 3.51 C16.7 4.96, 16.97 8.07, 16.82 9.87 C16.67 11.67, 16.26 13.06, 14.71 14.32 C13.16 15.59, 9.54 17.32, 7.51 17.49 C5.48 17.65, 3.91 16.68, 2.54 15.33 C1.17 13.98, -0.36 11.27, -0.69 9.39 C-1.01 7.5, -0.6 5.42, 0.58 4.02 C1.76 2.62, 5.57 1.57, 6.4 0.99 C7.23 0.41, 5.64 0.64, 5.54 0.53 M6.03 -0.87 C7.83 -1.52, 10.1 -0.38, 12.05 0.46 C14 1.3, 17.04 2.24, 17.72 4.17 C18.41 6.1, 16.95 10.3, 16.16 12.02 C15.37 13.74, 14.35 13.75, 12.99 14.47 C11.63 15.2, 9.67 16.41, 8.02 16.37 C6.36 16.33, 4.33 15.48, 3.04 14.26 C1.75 13.04, 0.64 10.96, 0.26 9.04 C-0.11 7.11, -0.3 4.11, 0.79 2.71 C1.87 1.31, 5.77 0.92, 6.79 0.62 C7.8 0.31, 6.71 0.6, 6.87 0.87" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(574.9311334447905 627.1365581929929) rotate(0 8.432322161163938 8.432322161163938)"><path d="M4.44 1.7 C5.96 1, 8.45 0.21, 10.31 0.45 C12.17 0.69, 14.53 1.55, 15.62 3.14 C16.71 4.72, 17.02 7.95, 16.86 9.97 C16.7 11.99, 16.07 14.19, 14.68 15.27 C13.29 16.36, 10.25 16.52, 8.52 16.46 C6.79 16.4, 5.79 15.94, 4.3 14.92 C2.82 13.89, 0.21 12.13, -0.42 10.32 C-1.04 8.51, -0.56 5.83, 0.55 4.05 C1.66 2.28, 5.13 0.18, 6.22 -0.32 C7.31 -0.82, 7.29 0.83, 7.09 1.07 M7.92 -0.61 C9.79 -0.65, 13.12 0.59, 14.5 1.7 C15.89 2.81, 15.77 4.4, 16.23 6.07 C16.69 7.75, 18.05 10.29, 17.25 11.73 C16.44 13.18, 13.32 14.09, 11.41 14.73 C9.5 15.38, 7.46 15.63, 5.78 15.59 C4.1 15.55, 2.24 15.63, 1.33 14.52 C0.42 13.4, 0.22 11, 0.31 8.91 C0.4 6.81, 0.69 3.64, 1.86 1.94 C3.03 0.25, 6.15 -1.12, 7.32 -1.24 C8.49 -1.35, 8.55 0.95, 8.9 1.25" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M10.71 1.24 C12.33 1.73, 14.77 2.29, 15.78 3.78 C16.79 5.27, 16.98 8.39, 16.76 10.18 C16.54 11.97, 16.06 13.3, 14.47 14.52 C12.87 15.74, 9.22 17.38, 7.19 17.48 C5.17 17.58, 3.62 16.53, 2.3 15.13 C0.98 13.73, -0.47 10.97, -0.73 9.08 C-0.99 7.18, -0.42 5.09, 0.74 3.75 C1.91 2.41, 4.47 1.48, 6.25 1.04 C8.02 0.59, 10.33 1.15, 11.38 1.09 C12.42 1.04, 12.47 0.74, 12.5 0.71 M9.85 -0.37 C11.92 -0.12, 15.45 0.45, 16.57 2.13 C17.69 3.8, 16.89 7.9, 16.59 9.71 C16.3 11.52, 15.84 11.87, 14.8 12.98 C13.77 14.1, 12.03 15.93, 10.36 16.4 C8.7 16.86, 6.44 16.63, 4.83 15.79 C3.21 14.95, 1.52 13.19, 0.65 11.35 C-0.22 9.51, -1.06 6.39, -0.41 4.73 C0.24 3.07, 2.78 2.06, 4.57 1.4 C6.36 0.73, 9.26 0.71, 10.34 0.74 C11.43 0.78, 11.14 1.66, 11.08 1.61" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(310.49000549316406 275.56752064163766) rotate(0 34.209999084472656 12.5)"><text x="34.209999084472656" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">PubSub</text></g><g transform="translate(444.290002822876 465.06752064163766) rotate(50.8013967822832 24.410001754760742 12.5)"><text x="24.410001754760742" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">retry</text></g><g transform="translate(285.7748013037158 404) rotate(0 51.2400016784668 25)"><text x="51.2400016784668" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Audio files</text><text x="51.2400016784668" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">queue</text></g><g stroke-linecap="round" transform="translate(843.5736666681519 311.29869402030863) rotate(0 4.481876077403967 16.970189836620534)"><path d="M-0.8 -1.64 L9.32 -1.71 L8.53 32.69 L-0.19 33.45" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.37 0.36 C2.62 -0.44, 4.29 -0.27, 8.83 -0.43 M0.11 0.37 C2.38 0.07, 5.24 0.26, 9.35 0.38 M7.15 -1.51 C9.73 7.89, 10.47 16.48, 9.64 34.73 M8.21 0.47 C8.75 12.9, 8.68 25.61, 9.66 33.67 M9.56 33.67 C6.16 34.76, 4.86 34.24, 0.73 33.11 M9.3 33.59 C6.58 33.59, 4.78 34.34, -0.02 34.27 M-1.97 33.87 C-0.73 22.52, -0.97 11.41, -0.04 1.22 M0 34.43 C0.77 27.35, 0.53 20.32, -0.5 0.78" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(927.3877400813406 311.29869402030863) rotate(0 4.481876077403967 16.970189836620534)"><path d="M0.36 -1.71 L8.53 -1.25 L8.77 33.45 L1.47 33.11" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.76 -0.49 C2.73 -0.36, 4.2 -0.46, 9.04 0.74 M-0.38 0.05 C2.26 0.18, 5.49 0.31, 8.82 -0.04 M9.75 -1.22 C10.19 6.54, 9.33 17.35, 10.3 33.08 M8.9 0.46 C8.57 14.26, 9.4 26.8, 8.25 34.8 M8.21 34.81 C6.77 34.26, 5.28 33.08, -0.57 33.74 M8.7 33.6 C6.45 34.29, 3.81 34.2, 0.18 34.27 M-0.48 34.07 C-0.38 27.07, 0.29 20.28, -1.93 -0.05 M0.76 34.25 C0.52 23.1, -0.5 12.66, -0.4 -0.82" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(853.8716775536864 311.29869402030863) rotate(0 35.46513132049165 16.970189836620534)"><path d="M-0.43 -1.25 L70.74 -0.49 L72.4 33.11 L1.82 33.64" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.27 -0.72 C23.86 -0.56, 48.48 2.05, 70.62 0.49 M-0.65 0.56 C27.94 0.77, 53.83 -0.16, 70.37 -0.9 M72.46 -1.74 C71.74 8.4, 72.4 14.37, 72.91 32.43 M70.79 0.72 C71.6 11.5, 70.2 24.4, 70.39 34.61 M70.95 34.72 C53.39 32.76, 31.31 34.18, -0.27 35.44 M71.05 34.87 C55.17 34.13, 39.91 34.14, -0.81 32.95 M-0.72 34.51 C0.04 25.1, -1.85 13.76, 0.5 0 M0.52 34.13 C-0.76 22.87, -0.66 9.4, 0.18 -0.86" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(862.6584472008815 324.54878698965103) rotate(0 12.986178101259839 2.6436329048705147)"><path d="M-0.19 -0.49 L27.44 -0.83 L27.79 4.99 L-1.49 4.24" stroke="none" stroke-width="0" fill="white"></path><path d="M-0.29 -0.95 C6.53 1.75, 12.41 0.58, 27.61 -1.71 M0.87 0.86 C7.79 -0.22, 15.65 -1.05, 25.22 0.39 M26.15 0.21 C26.37 1.04, 26.54 2.13, 26.22 5.25 M26.16 -0.07 C25.78 2.05, 25.82 3.83, 25.89 5.07 M27.6 3.42 C14.39 4.95, 5.1 6.89, -1.57 4.1 M25.92 6.01 C20.57 6.27, 13.55 4.54, -0.03 5.05 M-0.01 5.61 C-0.49 3.65, 0.15 2.04, 0.26 0.4 M-0.13 5.49 C-0.13 3.32, 0.02 1.56, -0.06 -0.17" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(903.937038191558 322.0245537669498) rotate(0 6.851143755162184 6.329145434808083)"><path d="M1.47 -0.83 L15.52 -0.3 L12.21 11.61 L1.1 11.76" stroke="none" stroke-width="0" fill="white"></path><path d="M0.12 1.14 C3.41 0.4, 8.36 -1.11, 13.87 -0.9 M-0.22 -0.05 C4.49 -0.74, 9.23 0.15, 13.28 0.52 M14.55 -0.54 C15 1.74, 14.34 5.3, 14.28 12.48 M13.25 0.54 C13.45 5.14, 13.6 8.9, 14.31 12.66 M12.83 12.35 C8.87 13.56, 3.33 11.72, -1.05 12.82 M13.98 13.17 C7.77 12.08, 2.91 12.59, 0.05 12.41 M-1.22 12.63 C0.32 8.5, 0.63 5.3, 0.4 0.66 M-0.25 12.14 C0.18 8.08, -0.07 4.18, -0.06 -0.16" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(844.678113728218 352.86864410001726) rotate(0 4.481876077403967 16.970189836620534)"><path d="M1.82 -0.3 L7.47 -1.05 L10.06 33.04 L-1.48 33.14" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.14 0.22 C2.99 -0.84, 4.63 -0.66, 9.46 0.78 M-0.25 -0.41 C3.12 0.18, 6.64 0.35, 8.57 0.15 M10.94 -1.51 C10.13 11.38, 10.1 22.75, 10.41 35.33 M8.42 0.67 C8.43 8.42, 9.69 18.53, 9.36 34.75 M8.84 34.61 C6.41 33.39, 4.57 34.03, 0.83 33.89 M8.6 33.5 C5.61 33.9, 2.31 33.85, 0.13 33.93 M0.5 33.94 C1.31 23.2, 0.96 10.47, 0.38 -1 M0.18 33.08 C-0.08 20.47, 0.04 8.01, 0.74 -0.42" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(928.4921871414053 352.86864410001726) rotate(0 4.481876077403967 16.970189836620534)"><path d="M-1.49 -1.05 L10.06 -0.9 L7.48 33.14 L-1.39 33.61" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.73 -0.77 C3.54 -0.61, 7.37 0.76, 9.73 -0.28 M-0.34 0.18 C2.35 0.42, 4.85 0.23, 9.14 0.3 M9.9 -0.13 C10.21 8.45, 10.75 18.84, 8.42 32.52 M8.67 -0.84 C9.75 13.09, 9.17 26.98, 8.03 33.3 M8.26 33.41 C5.79 34.11, 4.82 33.96, 0.65 34.3 M8.95 33.83 C5.64 33.69, 2.39 33.84, 0.27 33.51 M0.99 35.46 C0.54 24.89, 0.3 12.75, 1.57 -0.8 M-0.22 33.32 C-0.16 26.3, 0.67 18.74, 0.91 -0.15" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(854.9761246137525 352.86864410001726) rotate(0 35.46513132049165 16.970189836620534)"><path d="M1.1 -0.9 L69.45 -0.8 L69.54 33.61 L-0.41 32.71" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.24 -1.31 C24.13 2.35, 47.74 -0.02, 70.77 -1.12 M-0.61 0.77 C13.99 0.06, 30.12 0.39, 70.5 0.99 M71.84 -0.28 C72.54 9, 70.55 13.81, 72.64 32.86 M71.9 0.01 C71.22 13.26, 69.9 24.25, 70.71 33.8 M69.4 34.17 C46.19 33.41, 19.19 34.33, 1.48 32.33 M71 33.58 C56.94 33.75, 42.99 32.81, -0.03 34.19 M0.63 34.98 C0.22 22.76, 1.4 12.79, -1.64 0.36 M-0.09 33.69 C0.81 26.25, 0.98 19.25, -0.75 -0.52" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(863.7628942609483 366.1187370693608) rotate(0 12.986178101259839 2.6436329048705147)"><path d="M-1.48 -0.8 L24.58 -0.33 L25.56 4.05 L1.57 6.42" stroke="none" stroke-width="0" fill="white"></path><path d="M1.12 1.75 C7.28 -0.46, 10.97 -0.95, 24.16 -1.51 M-0.87 0.34 C9.21 0.47, 17.2 0.79, 25.22 0.47 M26.36 0.37 C25.85 1.18, 26.45 2.82, 26.33 5.13 M26.08 0.22 C25.78 0.97, 25.96 2.25, 26.17 5.08 M27.83 5.18 C21.18 6.12, 14.96 3.7, -1.97 5.22 M26.26 5.26 C19.41 4.23, 11.6 5.44, 0 5.78 M0.1 5.02 C0.4 3.09, -0.45 1.41, -0.45 -0.11 M0.19 5.18 C0.25 3.99, -0.19 2.64, 0.14 -0.12" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(905.0414852516235 363.5945038466584) rotate(0 6.851143755162184 6.329145434808083)"><path d="M-1.39 -0.33 L13.29 -1.23 L15.28 13.79 L-1.94 10.9" stroke="none" stroke-width="0" fill="white"></path><path d="M1.17 -0.43 C3.11 -0.89, 5.19 -1.16, 14.24 -0.84 M0.27 0.46 C4.87 0.63, 9.8 0.28, 13.66 0.31 M13.36 -0.9 C14.88 2.94, 14.64 6.87, 12.64 13.88 M13.11 -0.4 C13.61 3.72, 14.23 7.12, 13.33 12.17 M14.7 13.21 C10.45 11.55, 3.81 12.6, -0.33 12.75 M14.12 12 C10.07 12.83, 6.47 12.99, 0.52 12.87 M0.99 12.15 C-1.07 8.43, -1.11 3.47, -0.79 -0.12 M0.58 12.56 C-0.57 8.84, 0.25 5.4, -0.47 -0.25" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(618.0512319605391 351.19801500553854) rotate(0 112.57538409920892 -1.554368970991277)"><path d="M2.91 -1.97 C82.16 2.25, 169.67 2.16, 222.11 -4.05 M0.4 0.44 C66.99 -2.56, 132.24 -4.4, 224.75 -2.4" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(618.0512319605391 351.19801500553854) rotate(0 112.57538409920892 -1.554368970991277)"><path d="M199.85 5.26 C203.31 4.84, 216.44 2.53, 221.26 -2.97 M196.92 8.07 C206.16 5.33, 213.77 1.5, 224.34 -1.04" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(618.0512319605391 351.19801500553854) rotate(0 112.57538409920892 -1.554368970991277)"><path d="M200.07 -15.26 C203.55 -7.89, 216.6 -2.41, 221.26 -2.97 M197.14 -12.45 C206.08 -9.18, 213.63 -7.02, 224.34 -1.04" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(818.3147984045459 277.5) rotate(0 69.70000457763672 12.5)"><text x="69.70000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Storage</text></g><g stroke-linecap="round" transform="translate(680.0904060536607 72.53362809392524) rotate(0 3.564694583320261 3.564694583320261)"><path d="M3.59 0.95 C4.05 1.08, 4.57 1.56, 5.22 1.98 C5.88 2.41, 7.38 2.84, 7.53 3.47 C7.68 4.11, 6.73 5.21, 6.13 5.79 C5.52 6.38, 4.49 6.7, 3.87 6.97 C3.26 7.25, 3.15 7.84, 2.44 7.43 C1.73 7.03, -0.07 5.32, -0.4 4.55 C-0.73 3.78, 0.26 3.63, 0.48 2.82 C0.7 2.01, 0.37 0.26, 0.91 -0.3 C1.44 -0.86, 3.02 -0.53, 3.7 -0.53 C4.37 -0.52, 4.77 -0.28, 4.93 -0.27 M1.35 -0.32 C1.89 -0.81, 2.92 -1.13, 3.78 -1.02 C4.64 -0.9, 6.03 -0.21, 6.53 0.39 C7.03 1, 6.74 1.79, 6.78 2.61 C6.82 3.42, 7.01 4.69, 6.75 5.27 C6.49 5.86, 6.23 5.82, 5.21 6.13 C4.19 6.44, 1.48 7.26, 0.62 7.11 C-0.23 6.96, 0 6.23, 0.09 5.22 C0.19 4.21, 1.03 1.75, 1.18 1.03 C1.32 0.31, 0.64 0.83, 0.95 0.88 C1.26 0.94, 2.87 1.34, 3.05 1.35" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M3.93 0.97 C4.8 0.82, 5.72 0.34, 6.28 0.86 C6.84 1.38, 7.23 3.31, 7.28 4.07 C7.34 4.83, 7.14 5.04, 6.62 5.44 C6.1 5.84, 4.99 6.36, 4.16 6.46 C3.33 6.55, 2.35 6.27, 1.62 6.02 C0.89 5.78, 0.1 5.61, -0.2 4.99 C-0.49 4.37, -0.62 2.98, -0.14 2.3 C0.33 1.62, 1.82 1.38, 2.65 0.91 C3.47 0.45, 4.63 -0.53, 4.8 -0.5 C4.97 -0.46, 3.85 1.12, 3.67 1.13 M4.47 0.16 C5.27 0.05, 4.47 -0.91, 4.77 -0.43 C5.08 0.05, 6.15 1.96, 6.32 3.03 C6.48 4.1, 5.74 5.41, 5.75 6.01 C5.75 6.62, 6.74 6.67, 6.36 6.67 C5.97 6.66, 4.11 6.29, 3.42 5.97 C2.74 5.65, 2.82 5.18, 2.24 4.76 C1.66 4.34, 0.25 4.02, -0.04 3.44 C-0.33 2.86, 0.04 2.1, 0.52 1.3 C0.99 0.5, 2.58 -1.39, 2.82 -1.35 C3.07 -1.31, 1.76 1.27, 2 1.51" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(696.8819384575465 60.05664793341202) rotate(0 3.564694583320261 3.564694583320261)"><path d="M3.19 0.88 C4.06 0.81, 6.07 0.87, 6.68 1.32 C7.3 1.78, 7 2.86, 6.86 3.61 C6.72 4.35, 6.2 5.07, 5.85 5.77 C5.49 6.47, 5.51 7.69, 4.72 7.78 C3.94 7.87, 1.83 6.73, 1.13 6.29 C0.43 5.84, 0.81 5.92, 0.53 5.13 C0.26 4.33, -0.6 2.39, -0.54 1.51 C-0.47 0.62, 0.02 0.14, 0.92 -0.18 C1.81 -0.49, 4.04 -0.37, 4.86 -0.38 C5.67 -0.39, 5.96 -0.4, 5.8 -0.24 M2.56 -1.08 C3.39 -1.27, 4.95 -0.86, 5.63 -0.45 C6.31 -0.03, 6.33 0.61, 6.63 1.39 C6.93 2.17, 7.46 3.52, 7.42 4.25 C7.38 4.98, 7.32 5.22, 6.38 5.78 C5.43 6.33, 2.71 7.5, 1.75 7.59 C0.79 7.68, 0.79 7.21, 0.65 6.31 C0.5 5.42, 1.01 3, 0.9 2.22 C0.78 1.44, -0.58 1.84, -0.03 1.62 C0.52 1.4, 3.7 1.14, 4.21 0.93 C4.72 0.71, 3.43 0.41, 3.04 0.33" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M5.17 0.04 C5.89 0.27, 6.62 2.04, 6.96 2.73 C7.31 3.43, 7.49 3.68, 7.23 4.21 C6.97 4.74, 6.14 5.54, 5.42 5.91 C4.71 6.28, 3.75 6.38, 2.94 6.42 C2.13 6.45, 1.1 6.59, 0.56 6.13 C0.02 5.68, -0.48 4.38, -0.3 3.67 C-0.12 2.96, 1.08 2.55, 1.65 1.86 C2.22 1.17, 2.68 -0.38, 3.13 -0.47 C3.57 -0.55, 4.05 1.31, 4.34 1.34 C4.63 1.38, 4.79 -0.01, 4.87 -0.24 M1.47 -0.68 C1.78 -0.93, 3.29 0.15, 3.95 0.72 C4.61 1.29, 4.71 2.18, 5.42 2.72 C6.13 3.26, 8.02 3.54, 8.22 3.93 C8.42 4.32, 7.1 4.71, 6.61 5.07 C6.11 5.44, 6.13 5.9, 5.26 6.12 C4.39 6.35, 2.32 6.69, 1.4 6.42 C0.47 6.15, -0.09 5.48, -0.3 4.51 C-0.51 3.53, -0.09 1.05, 0.14 0.58 C0.36 0.11, 0.55 1.79, 1.07 1.7 C1.59 1.61, 2.87 0.31, 3.28 0.07" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(713.6555552606906 47.70763443964779) rotate(0 3.564694583320261 3.564694583320261)"><path d="M5.55 0.43 C6.33 0.59, 6.4 1.52, 6.56 2.19 C6.73 2.87, 6.61 3.65, 6.53 4.49 C6.44 5.34, 6.73 6.87, 6.06 7.24 C5.39 7.61, 3.3 6.88, 2.5 6.73 C1.71 6.58, 1.84 6.98, 1.3 6.35 C0.76 5.72, -0.49 3.86, -0.74 2.94 C-0.98 2.01, -0.72 1.37, -0.16 0.79 C0.4 0.21, 1.67 -0.36, 2.64 -0.56 C3.61 -0.76, 5.31 -0.64, 5.67 -0.42 C6.02 -0.19, 4.89 0.63, 4.78 0.78 M2.85 -0.93 C3.58 -1.15, 4.05 -1.17, 4.81 -0.77 C5.57 -0.38, 6.85 0.69, 7.42 1.42 C7.98 2.15, 8.67 2.66, 8.19 3.61 C7.71 4.55, 5.38 6.41, 4.53 7.1 C3.69 7.78, 3.54 8.09, 3.1 7.72 C2.65 7.35, 2.55 5.45, 1.87 4.88 C1.19 4.3, -0.97 4.7, -0.99 4.28 C-1.01 3.86, 1.16 3, 1.76 2.34 C2.37 1.69, 2.68 0.68, 2.62 0.34 C2.56 -0.01, 1.48 0.23, 1.41 0.26" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M5.33 1.03 C6.02 1.32, 6.82 1.36, 7.07 1.85 C7.32 2.35, 7.12 3.33, 6.81 4 C6.51 4.67, 5.92 5.32, 5.23 5.85 C4.54 6.38, 3.44 7.17, 2.68 7.17 C1.92 7.17, 0.94 6.33, 0.66 5.83 C0.38 5.32, 0.91 4.96, 1 4.13 C1.08 3.3, 1.03 1.37, 1.17 0.85 C1.3 0.33, 1.14 1.16, 1.8 1 C2.46 0.83, 4.46 -0.04, 5.13 -0.15 C5.79 -0.26, 5.89 -0.02, 5.81 0.33 M3.07 0.57 C3.73 0.91, 3.99 1.63, 4.84 2.05 C5.7 2.46, 7.82 2.66, 8.21 3.05 C8.6 3.44, 7.52 3.9, 7.17 4.39 C6.82 4.88, 6.96 5.55, 6.13 5.96 C5.29 6.37, 3.19 6.96, 2.17 6.86 C1.15 6.75, 0.4 6.24, 0.01 5.34 C-0.38 4.43, -0.21 1.95, -0.16 1.42 C-0.11 0.89, -0.52 2.43, 0.31 2.15 C1.14 1.87, 4.04 0.12, 4.81 -0.29 C5.58 -0.69, 5.03 -0.53, 4.91 -0.27" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(713.5754583915314 82.36492668981805) rotate(0 3.564694583320261 3.564694583320261)"><path d="M4.73 0.36 C5.27 0.59, 5.83 1.12, 6.3 1.91 C6.77 2.7, 7.77 4.42, 7.55 5.12 C7.34 5.81, 5.66 5.67, 5.01 6.06 C4.36 6.45, 4.42 7.58, 3.65 7.45 C2.87 7.32, 1.1 5.98, 0.36 5.29 C-0.39 4.59, -0.86 4.02, -0.83 3.29 C-0.8 2.57, -0.08 1.62, 0.52 0.93 C1.12 0.25, 2.15 -0.72, 2.76 -0.82 C3.37 -0.92, 3.81 0.17, 4.18 0.32 C4.55 0.47, 4.93 0.09, 4.98 0.08 M1.93 -0.91 C2.67 -1.16, 4.31 -0.81, 5.3 -0.53 C6.28 -0.26, 7.69 -0.12, 7.83 0.75 C7.96 1.62, 6.42 3.65, 6.09 4.67 C5.76 5.69, 6.11 6.65, 5.85 6.87 C5.59 7.08, 5.45 5.99, 4.53 5.99 C3.61 5.99, 0.9 6.98, 0.33 6.84 C-0.23 6.7, 1.13 5.95, 1.13 5.16 C1.13 4.36, 0.36 2.89, 0.32 2.08 C0.29 1.28, 0.71 0.61, 0.94 0.33 C1.16 0.05, 1.41 0.27, 1.67 0.4" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M3.26 -0.26 C3.92 -0.63, 4.69 -0.4, 5.25 -0.07 C5.82 0.26, 6.46 0.89, 6.65 1.73 C6.85 2.56, 6.7 4.13, 6.42 4.93 C6.14 5.73, 5.39 6.1, 4.96 6.51 C4.53 6.93, 4.47 7.64, 3.85 7.42 C3.23 7.2, 2.04 5.72, 1.24 5.21 C0.44 4.7, -0.79 5.19, -0.94 4.38 C-1.09 3.57, -0.4 1.23, 0.33 0.36 C1.07 -0.51, 2.91 -0.94, 3.46 -0.82 C4.01 -0.69, 3.56 0.99, 3.61 1.11 M1.31 1.3 C2.27 0.92, 4.99 0.29, 5.98 0.2 C6.98 0.11, 6.87 0.27, 7.29 0.78 C7.72 1.29, 8.8 2.34, 8.54 3.27 C8.28 4.2, 6.66 5.69, 5.74 6.35 C4.83 7.01, 3.87 7.5, 3.08 7.25 C2.28 7, 1.65 5.14, 0.96 4.85 C0.28 4.56, -1.15 6.07, -1.04 5.5 C-0.93 4.93, 0.84 2.36, 1.62 1.41 C2.4 0.47, 3.42 -0.12, 3.63 -0.16 C3.83 -0.2, 2.94 1.16, 2.85 1.17" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(713.4230497266267 94.98962842736546) rotate(0 3.564694583320261 3.564694583320261)"><path d="M3.21 -0.07 C4.07 0.01, 5.93 1.16, 6.46 1.61 C7 2.07, 6.35 1.99, 6.42 2.68 C6.5 3.37, 7.32 5.2, 6.91 5.77 C6.49 6.34, 4.85 6.02, 3.94 6.09 C3.02 6.17, 1.99 6.46, 1.39 6.21 C0.79 5.96, 0.53 5.32, 0.34 4.59 C0.16 3.87, 0.26 2.52, 0.28 1.87 C0.29 1.23, -0.25 1.08, 0.42 0.73 C1.09 0.37, 3.56 -0.17, 4.29 -0.27 C5.02 -0.37, 4.92 0, 4.82 0.13 M2.95 -0.52 C3.87 -0.77, 5.56 -1.23, 6.01 -0.75 C6.47 -0.27, 5.5 1.43, 5.67 2.36 C5.83 3.29, 6.83 4.35, 7.01 4.82 C7.19 5.29, 7.48 4.7, 6.73 5.17 C5.99 5.64, 3.28 7.29, 2.55 7.63 C1.81 7.96, 2.76 7.72, 2.32 7.18 C1.89 6.65, 0.46 5.29, -0.07 4.4 C-0.6 3.52, -1.15 2.54, -0.85 1.86 C-0.55 1.17, 1.17 0.48, 1.73 0.3 C2.3 0.13, 2.63 0.93, 2.52 0.81" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M4.54 -0.4 C5.16 -0.28, 5.97 0.25, 6.32 1.01 C6.67 1.78, 6.74 3.33, 6.62 4.17 C6.51 5.01, 5.94 5.51, 5.61 6.06 C5.28 6.61, 5.27 7.54, 4.64 7.49 C4 7.44, 2.72 6.15, 1.8 5.77 C0.88 5.38, -0.55 5.96, -0.87 5.17 C-1.19 4.37, -0.6 1.96, -0.12 1 C0.36 0.05, 1.24 -0.63, 1.99 -0.58 C2.73 -0.53, 3.74 1.18, 4.34 1.31 C4.95 1.45, 5.62 0.41, 5.62 0.23 M5.35 0.02 C6.36 -0.26, 6.38 -0.2, 6.93 0.23 C7.47 0.67, 8.73 1.68, 8.61 2.62 C8.49 3.56, 7.03 5.13, 6.22 5.9 C5.4 6.66, 4.52 7.31, 3.73 7.2 C2.94 7.09, 2.26 5.42, 1.49 5.24 C0.72 5.06, -0.86 6.68, -0.88 6.14 C-0.91 5.6, 0.68 3.01, 1.33 2 C1.98 1, 2.48 0.27, 3.03 0.1 C3.58 -0.07, 4.35 1.08, 4.63 0.98 C4.92 0.87, 4.58 -0.2, 4.73 -0.53" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(696.8291237249543 107.08070692989304) rotate(0 3.564694583320261 3.564694583320261)"><path d="M4.19 0.71 C4.88 0.64, 4.73 0.08, 5.27 0.53 C5.8 0.97, 7.31 2.7, 7.4 3.37 C7.5 4.05, 6.45 4.09, 5.85 4.58 C5.26 5.06, 4.45 6.01, 3.83 6.28 C3.22 6.56, 2.7 6.55, 2.17 6.22 C1.64 5.89, 1.13 4.86, 0.63 4.29 C0.12 3.72, -0.95 3.46, -0.87 2.8 C-0.78 2.15, 0.37 0.89, 1.12 0.37 C1.86 -0.16, 3.17 -0.34, 3.6 -0.36 C4.04 -0.37, 3.76 0.18, 3.71 0.26 M3.44 -0.71 C3.84 -0.81, 3.16 0.23, 3.67 0.74 C4.19 1.24, 5.81 1.93, 6.53 2.29 C7.25 2.66, 8.25 2.19, 7.98 2.92 C7.72 3.66, 5.49 5.86, 4.95 6.71 C4.41 7.56, 5.37 8.05, 4.75 8.03 C4.13 8.01, 2.25 7.22, 1.25 6.61 C0.25 6.01, -1.02 5.17, -1.26 4.4 C-1.51 3.62, -0.81 2.58, -0.21 1.98 C0.39 1.38, 2.19 1.23, 2.36 0.79 C2.53 0.35, 0.62 -0.47, 0.83 -0.67" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M2.73 -0.66 C3.39 -0.7, 4.3 0.1, 4.95 0.58 C5.6 1.07, 6.14 1.47, 6.63 2.24 C7.12 3.01, 8.03 4.57, 7.88 5.22 C7.73 5.86, 6.73 5.65, 5.74 6.11 C4.75 6.57, 2.84 8.16, 1.93 7.96 C1.01 7.77, 0.59 5.83, 0.23 4.94 C-0.14 4.06, -0.25 3.13, -0.28 2.66 C-0.31 2.2, -0.62 2.67, 0.07 2.15 C0.76 1.63, 3.21 -0.05, 3.84 -0.45 C4.46 -0.84, 3.77 -0.25, 3.81 -0.24 M5.46 -0.84 C6.21 -0.78, 7.91 0, 8.17 0.85 C8.44 1.7, 7.48 3.33, 7.02 4.26 C6.56 5.2, 6.02 6.22, 5.39 6.47 C4.76 6.71, 4.12 5.55, 3.24 5.74 C2.36 5.94, 0.48 7.97, 0.13 7.65 C-0.22 7.33, 0.87 4.86, 1.14 3.81 C1.4 2.77, 1.44 1.82, 1.72 1.37 C2 0.91, 2.21 1.4, 2.82 1.1 C3.43 0.8, 4.8 -0.05, 5.37 -0.43 C5.94 -0.8, 6.11 -1.41, 6.21 -1.15" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(696.7543977160601 94.92681686595824) rotate(0 3.564694583320261 3.564694583320261)"><path d="M2.76 -0.37 C3.45 -0.51, 5.48 0.69, 6.07 1.08 C6.66 1.47, 6.34 1.38, 6.31 1.96 C6.27 2.54, 6.11 3.86, 5.86 4.57 C5.62 5.28, 5.36 5.97, 4.83 6.21 C4.29 6.45, 3.54 6.12, 2.67 5.99 C1.8 5.86, 0.08 5.97, -0.4 5.42 C-0.87 4.87, -0.38 3.49, -0.2 2.67 C-0.02 1.86, 0.17 0.96, 0.7 0.53 C1.24 0.1, 2.58 0.19, 3.03 0.08 C3.48 -0.03, 3.41 -0.23, 3.4 -0.12 M1.72 0.66 C2.2 0.71, 4.07 0.93, 5.07 0.98 C6.07 1.04, 7.56 0.31, 7.72 0.98 C7.87 1.66, 6.17 3.98, 5.99 5.05 C5.81 6.13, 7.1 7.04, 6.61 7.43 C6.13 7.81, 4.23 7.56, 3.07 7.35 C1.91 7.13, 0.27 6.7, -0.35 6.13 C-0.96 5.55, -0.81 4.59, -0.62 3.9 C-0.43 3.21, 0.5 2.79, 0.81 1.99 C1.13 1.2, 0.76 -0.42, 1.28 -0.89 C1.81 -1.36, 3.72 -1.14, 3.96 -0.82" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M2.06 0.22 C2.74 0.05, 3.7 -0.24, 4.65 0.1 C5.6 0.45, 7.26 1.7, 7.73 2.31 C8.21 2.92, 7.99 2.95, 7.5 3.79 C7 4.62, 5.54 6.9, 4.76 7.32 C3.98 7.73, 3.47 6.6, 2.82 6.27 C2.16 5.94, 1.45 5.57, 0.85 5.35 C0.25 5.12, -0.76 5.63, -0.79 4.93 C-0.82 4.23, 0.15 2.05, 0.66 1.17 C1.17 0.29, 1.75 -0.06, 2.26 -0.36 C2.76 -0.67, 3.43 -0.92, 3.68 -0.67 M4.99 -1 C5.61 -0.88, 5.49 0.13, 5.77 0.8 C6.05 1.47, 6.56 2.49, 6.67 3.01 C6.78 3.53, 6.92 3.03, 6.44 3.92 C5.95 4.8, 4.24 7.85, 3.75 8.3 C3.26 8.76, 3.84 7.19, 3.49 6.64 C3.15 6.1, 2.21 5.5, 1.7 5.05 C1.19 4.59, 0.43 4.72, 0.44 3.91 C0.45 3.1, 1 1.09, 1.74 0.2 C2.48 -0.7, 4.39 -1.54, 4.89 -1.46 C5.39 -1.38, 4.96 0.44, 4.75 0.67" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(679.6740918039252 119.5185115161189) rotate(0 3.564694583320261 3.564694583320261)"><path d="M5.11 0.55 C5.8 0.68, 5.73 0.44, 5.92 0.94 C6.1 1.44, 6.25 2.75, 6.22 3.54 C6.19 4.32, 6.17 5.21, 5.76 5.65 C5.35 6.09, 4.65 6.07, 3.75 6.16 C2.84 6.26, 0.97 6.64, 0.32 6.24 C-0.34 5.84, -0.13 4.58, -0.18 3.76 C-0.23 2.95, -0.28 1.95, 0.02 1.37 C0.32 0.79, 0.84 0.47, 1.62 0.28 C2.41 0.1, 4.13 0.1, 4.72 0.28 C5.3 0.46, 5.13 1.13, 5.13 1.35 M2.37 0.8 C3.36 0.25, 5.2 -1.15, 5.76 -0.89 C6.31 -0.63, 5.3 1.35, 5.7 2.36 C6.09 3.37, 8.13 4.47, 8.12 5.17 C8.12 5.88, 6.67 6.25, 5.67 6.59 C4.67 6.93, 2.99 7.26, 2.14 7.22 C1.29 7.18, 0.9 6.76, 0.58 6.33 C0.25 5.9, 0.42 5.57, 0.17 4.63 C-0.08 3.69, -1.49 1.61, -0.91 0.71 C-0.32 -0.2, 3.11 -0.83, 3.66 -0.81 C4.2 -0.78, 2.7 0.63, 2.35 0.85" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M2.04 0.03 C2.94 -0.21, 4.93 0.38, 5.78 0.58 C6.62 0.77, 7.05 0.45, 7.11 1.2 C7.17 1.95, 6.43 4.38, 6.13 5.09 C5.83 5.79, 5.77 5.24, 5.3 5.45 C4.82 5.65, 4.09 6.01, 3.28 6.31 C2.48 6.6, 0.98 7.66, 0.46 7.23 C-0.07 6.8, 0.24 4.71, 0.14 3.73 C0.03 2.75, -0.65 2.08, -0.17 1.36 C0.31 0.63, 2.38 -0.55, 3.02 -0.63 C3.67 -0.71, 3.76 0.62, 3.7 0.87 M2.26 0.23 C2.61 0.12, 3.66 0.3, 4.34 0.32 C5.03 0.34, 6.11 -0.51, 6.39 0.36 C6.66 1.23, 5.9 4.61, 6 5.55 C6.1 6.48, 7.19 5.77, 6.99 5.98 C6.79 6.18, 5.69 6.57, 4.81 6.78 C3.92 6.99, 2.41 7.77, 1.7 7.24 C1 6.7, 0.55 4.7, 0.57 3.56 C0.59 2.41, 1.34 0.82, 1.84 0.36 C2.33 -0.09, 3.45 0.91, 3.54 0.83 C3.64 0.75, 2.59 0.06, 2.42 -0.1" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(663.0531357828816 106.99905915798331) rotate(0 3.564694583320261 3.564694583320261)"><path d="M2.16 -0.79 C2.67 -1.14, 3.68 -0.62, 4.45 -0.21 C5.23 0.2, 6.37 0.98, 6.82 1.65 C7.27 2.31, 7.53 2.95, 7.13 3.78 C6.74 4.6, 5.18 6.1, 4.45 6.59 C3.72 7.07, 3.43 6.86, 2.76 6.68 C2.08 6.5, 0.98 6, 0.39 5.5 C-0.19 5, -0.69 4.42, -0.74 3.69 C-0.78 2.95, -0.41 1.62, 0.12 1.08 C0.64 0.53, 1.94 0.44, 2.42 0.41 C2.9 0.37, 2.97 1, 3 0.88 M5.12 -1.08 C5.68 -1.01, 4.81 0.87, 5.33 1.8 C5.84 2.74, 8.06 3.79, 8.19 4.51 C8.33 5.23, 7.05 5.68, 6.15 6.13 C5.25 6.57, 3.64 7.08, 2.8 7.18 C1.96 7.27, 1.53 7.04, 1.12 6.72 C0.7 6.41, 0.71 6.18, 0.33 5.28 C-0.06 4.37, -1.65 2.28, -1.2 1.31 C-0.75 0.34, 2.16 -0.43, 3.05 -0.54 C3.94 -0.64, 4.09 0.55, 4.13 0.66 C4.16 0.77, 3.06 -0.03, 3.25 0.12" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M4.67 0.36 C5.53 0.27, 6.16 -0.27, 6.4 0.33 C6.65 0.93, 6.21 3.25, 6.15 3.96 C6.09 4.68, 6.33 4.24, 6.03 4.6 C5.74 4.96, 5.16 5.6, 4.39 6.13 C3.62 6.67, 2.07 8.03, 1.42 7.81 C0.77 7.58, 0.83 5.69, 0.5 4.79 C0.17 3.89, -0.78 3.2, -0.57 2.4 C-0.36 1.61, 0.87 0.28, 1.75 0.01 C2.62 -0.26, 4.28 0.68, 4.68 0.76 C5.08 0.85, 4.4 0.42, 4.15 0.52 M2 0.31 C2.64 -0.2, 3.99 -1.64, 4.59 -1.15 C5.19 -0.66, 5 2.39, 5.6 3.24 C6.19 4.09, 7.93 3.49, 8.16 3.95 C8.4 4.41, 7.72 5.3, 7.01 5.99 C6.3 6.67, 4.78 8.11, 3.9 8.04 C3.02 7.98, 2.15 6.49, 1.74 5.59 C1.33 4.69, 1.42 3.21, 1.42 2.67 C1.43 2.13, 1.57 2.81, 1.75 2.33 C1.92 1.85, 2.36 0.26, 2.49 -0.2 C2.62 -0.66, 2.52 -0.68, 2.51 -0.43" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(663.2772603301594 72.12809567427325) rotate(0 3.564694583320261 3.564694583320261)"><path d="M3.29 -0.62 C4.13 -0.51, 5.52 0.06, 6.19 0.59 C6.86 1.12, 7.46 1.69, 7.33 2.56 C7.2 3.43, 5.94 5.1, 5.38 5.79 C4.82 6.47, 4.66 6.58, 3.99 6.67 C3.32 6.75, 2.1 6.57, 1.35 6.28 C0.6 5.98, -0.2 5.58, -0.51 4.9 C-0.82 4.21, -0.73 2.82, -0.49 2.15 C-0.24 1.48, 0.21 1.08, 0.98 0.89 C1.76 0.69, 3.59 1.16, 4.17 0.98 C4.75 0.79, 4.33 -0.15, 4.46 -0.24 M3.3 0.57 C4.04 1.02, 6.81 1.7, 7.43 2.26 C8.05 2.82, 7.43 3.29, 7.01 3.91 C6.59 4.54, 5.48 5.49, 4.88 6.03 C4.29 6.58, 3.96 7, 3.44 7.19 C2.93 7.37, 2.6 7.71, 1.82 7.13 C1.03 6.54, -1.2 4.66, -1.25 3.68 C-1.31 2.7, 0.98 1.69, 1.48 1.25 C1.99 0.81, 1.47 1.22, 1.78 1.02 C2.09 0.83, 2.73 0.01, 3.33 0.07 C3.92 0.12, 5.06 1.18, 5.37 1.34" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M3.7 -0.57 C4.1 -0.59, 4.2 1.15, 4.66 1.54 C5.12 1.93, 6.14 1.33, 6.45 1.78 C6.76 2.23, 6.88 3.25, 6.52 4.24 C6.16 5.23, 4.9 7.34, 4.27 7.73 C3.63 8.11, 3.45 6.98, 2.74 6.56 C2.03 6.14, 0.39 5.87, 0 5.19 C-0.39 4.52, 0.1 3.08, 0.39 2.52 C0.69 1.95, 1.25 2.15, 1.78 1.8 C2.32 1.44, 3.35 0.52, 3.6 0.4 C3.85 0.28, 3.4 1.1, 3.29 1.09 M3.32 -1.39 C3.93 -1.22, 3.96 1.57, 4.77 2.24 C5.58 2.91, 7.66 2.19, 8.17 2.65 C8.69 3.11, 8.35 4.14, 7.85 5 C7.35 5.86, 6.01 7.62, 5.18 7.83 C4.35 8.03, 3.41 6.9, 2.86 6.25 C2.3 5.59, 2.12 4.34, 1.86 3.89 C1.6 3.44, 1.38 4.12, 1.29 3.55 C1.21 2.97, 0.97 1.14, 1.36 0.44 C1.76 -0.27, 3.3 -0.76, 3.65 -0.69 C4 -0.62, 3.29 0.85, 3.45 0.85" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(663.2296178200413 59.95318056418) rotate(0 3.564694583320261 3.564694583320261)"><path d="M2.01 -0.33 C2.82 -0.73, 4.12 -1.14, 4.72 -0.84 C5.31 -0.53, 5.2 0.78, 5.56 1.5 C5.92 2.23, 6.87 2.8, 6.88 3.5 C6.88 4.2, 6.22 5.1, 5.59 5.71 C4.97 6.33, 3.91 7.11, 3.11 7.19 C2.31 7.28, 1.44 6.63, 0.81 6.24 C0.18 5.85, -0.49 5.41, -0.65 4.85 C-0.81 4.28, -0.52 3.72, -0.14 2.84 C0.25 1.96, 1.14 0.01, 1.65 -0.43 C2.16 -0.88, 2.72 -0.08, 2.92 0.18 M3.31 1.16 C4.11 0.8, 4.24 0.31, 4.56 0.42 C4.89 0.52, 4.94 1.16, 5.26 1.78 C5.57 2.41, 6.33 3.34, 6.46 4.17 C6.6 5, 6.77 6.43, 6.07 6.76 C5.36 7.08, 2.82 6.36, 2.24 6.13 C1.66 5.9, 2.96 5.58, 2.59 5.37 C2.21 5.17, 0.5 5.47, -0.02 4.89 C-0.55 4.31, -1.1 2.44, -0.54 1.87 C0.02 1.3, 2.71 1.6, 3.33 1.45 C3.96 1.3, 3.16 1.31, 3.2 0.97" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M3.26 0.96 C3.81 1, 5.15 0.14, 5.75 0.44 C6.35 0.74, 6.9 1.7, 6.85 2.76 C6.8 3.82, 5.9 6.16, 5.47 6.81 C5.03 7.45, 4.97 6.73, 4.25 6.63 C3.52 6.53, 1.73 6.65, 1.12 6.22 C0.51 5.78, 0.61 4.54, 0.59 4.02 C0.56 3.49, 0.77 3.6, 0.97 3.07 C1.16 2.54, 1.22 1.16, 1.77 0.86 C2.32 0.57, 3.71 1.3, 4.25 1.28 C4.78 1.25, 4.86 0.87, 4.95 0.71 M2.62 1.41 C3.58 1.58, 6.11 0.42, 7.06 0.64 C8 0.86, 8.31 1.78, 8.29 2.74 C8.28 3.7, 7.5 5.79, 6.97 6.38 C6.45 6.97, 5.72 6.45, 5.16 6.29 C4.6 6.13, 4.18 5.48, 3.59 5.41 C3.01 5.33, 2.22 6.32, 1.65 5.82 C1.08 5.32, 0.2 3.37, 0.17 2.41 C0.14 1.45, 0.9 0.33, 1.47 0.06 C2.04 -0.21, 3.05 0.95, 3.6 0.79 C4.14 0.62, 4.84 -0.94, 4.77 -0.93" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(646.2783959122289 70.49136611804715) rotate(0 3.564694583320261 3.564694583320261)"><path d="M2.6 -0.77 C3.13 -0.95, 3.26 -0.17, 3.9 0.2 C4.54 0.56, 6 0.82, 6.45 1.43 C6.9 2.04, 6.82 3.02, 6.59 3.85 C6.36 4.68, 5.7 5.9, 5.07 6.41 C4.44 6.92, 3.59 6.86, 2.82 6.9 C2.05 6.94, 1 6.97, 0.46 6.64 C-0.08 6.32, -0.34 5.86, -0.44 4.93 C-0.54 4, -0.7 1.87, -0.14 1.07 C0.42 0.26, 2.38 0.16, 2.92 0.11 C3.47 0.06, 3.3 0.82, 3.13 0.77 M4.04 0.29 C4.36 0.23, 4.53 0.79, 4.94 1.34 C5.35 1.9, 6.25 2.79, 6.5 3.63 C6.75 4.46, 7.06 5.96, 6.44 6.37 C5.82 6.77, 3.35 6.19, 2.78 6.07 C2.22 5.96, 3.48 5.79, 3.04 5.68 C2.59 5.57, 0.76 5.96, 0.13 5.41 C-0.51 4.86, -1.22 2.99, -0.76 2.37 C-0.31 1.75, 1.87 1.97, 2.85 1.69 C3.82 1.41, 4.67 1.16, 5.08 0.7 C5.49 0.24, 5.38 -0.99, 5.32 -1.07" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.99 -0.7 C2.78 -1.24, 4.04 -1.13, 4.7 -0.53 C5.35 0.07, 5.53 2.16, 5.93 2.9 C6.34 3.64, 7.26 3.42, 7.12 3.94 C6.97 4.45, 5.61 5.59, 5.05 6 C4.48 6.41, 4.27 6.22, 3.74 6.37 C3.21 6.52, 2.49 7.23, 1.86 6.9 C1.24 6.57, 0.33 5.09, -0.01 4.38 C-0.34 3.66, -0.58 3.33, -0.14 2.59 C0.3 1.86, 1.93 0.44, 2.63 -0.02 C3.33 -0.48, 3.92 -0.2, 4.05 -0.16 M3.07 0.08 C4.08 -0.57, 4.97 -0.63, 5.6 -0.25 C6.22 0.13, 6.49 1.8, 6.83 2.36 C7.17 2.92, 7.51 2.75, 7.63 3.12 C7.75 3.48, 7.93 3.8, 7.53 4.56 C7.12 5.33, 6.18 7.44, 5.2 7.71 C4.23 7.97, 2.52 6.77, 1.69 6.14 C0.86 5.5, 0.48 4.42, 0.23 3.88 C-0.02 3.35, -0.28 3.68, 0.19 2.92 C0.65 2.17, 2.83 -0.29, 3.04 -0.63 C3.25 -0.97, 1.51 0.87, 1.45 0.9" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(646.6625575795667 82.73034955556955) rotate(0 3.564694583320261 3.564694583320261)"><path d="M1.47 0.15 C2.07 -0.03, 3.83 -0.38, 4.62 -0.16 C5.41 0.06, 5.93 0.71, 6.22 1.45 C6.5 2.2, 6.51 3.55, 6.32 4.33 C6.14 5.11, 5.71 5.58, 5.11 6.11 C4.51 6.64, 3.45 7.36, 2.72 7.52 C1.99 7.67, 1.29 7.73, 0.73 7.06 C0.18 6.38, -0.63 4.34, -0.61 3.45 C-0.58 2.55, 0.26 2.14, 0.89 1.68 C1.52 1.22, 2.92 1.06, 3.17 0.69 C3.41 0.31, 2.35 -0.64, 2.35 -0.56 M3.28 0.25 C3.9 0.4, 5.27 1.01, 5.93 1.73 C6.59 2.44, 7.46 3.97, 7.23 4.55 C7 5.12, 4.93 4.92, 4.56 5.18 C4.18 5.45, 5.51 5.83, 4.97 6.13 C4.42 6.44, 2.28 7.3, 1.31 7 C0.33 6.7, -0.91 4.99, -0.88 4.35 C-0.85 3.7, 0.82 3.7, 1.48 3.13 C2.15 2.56, 2.39 1.62, 3.11 0.93 C3.83 0.23, 5.45 -0.89, 5.8 -1.03 C6.15 -1.18, 5.34 -0.06, 5.21 0.05" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M4.84 -0.47 C5.47 0.11, 5.63 2.28, 6 3.04 C6.37 3.8, 7.26 3.58, 7.08 4.09 C6.9 4.59, 5.5 5.71, 4.92 6.09 C4.34 6.47, 4.11 6.25, 3.58 6.36 C3.05 6.48, 2.35 7.15, 1.75 6.79 C1.15 6.43, 0.28 4.94, -0.02 4.22 C-0.32 3.5, -0.39 3.16, -0.05 2.47 C0.29 1.78, 1.14 0.47, 2.03 0.08 C2.91 -0.3, 4.68 0.1, 5.24 0.15 C5.8 0.21, 5.59 0.41, 5.41 0.39 M6.37 0.04 C6.92 0.53, 7.05 2.43, 7.24 3.08 C7.42 3.73, 7.54 3.6, 7.48 3.93 C7.43 4.27, 7.41 4.46, 6.89 5.09 C6.37 5.72, 5.35 7.62, 4.38 7.7 C3.4 7.79, 1.77 6.38, 1.06 5.6 C0.34 4.83, 0.17 3.63, 0.09 3.07 C0.02 2.5, -0.02 2.87, 0.6 2.21 C1.22 1.55, 3.15 -0.68, 3.82 -0.91 C4.49 -1.14, 4.31 0.81, 4.61 0.85 C4.92 0.89, 5.78 -0.43, 5.63 -0.67" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(646.6070650567572 94.62375671660607) rotate(0 3.564694583320261 3.564694583320261)"><path d="M1.68 0.01 C2.38 -0.43, 3.2 -0.55, 3.86 -0.31 C4.52 -0.07, 5.22 0.83, 5.65 1.46 C6.08 2.09, 6.48 2.67, 6.44 3.48 C6.4 4.3, 5.91 5.62, 5.43 6.35 C4.95 7.09, 4.29 7.98, 3.56 7.91 C2.82 7.83, 1.51 6.46, 1.01 5.91 C0.51 5.36, 0.6 5.12, 0.54 4.6 C0.49 4.09, 0.51 3.64, 0.68 2.8 C0.85 1.96, 1.14 -0.11, 1.54 -0.43 C1.94 -0.75, 2.81 0.73, 3.05 0.88 M3.22 0.1 C4.19 0.19, 5.78 1.2, 6.19 1.56 C6.6 1.91, 5.43 1.72, 5.68 2.23 C5.94 2.74, 7.94 3.7, 7.73 4.59 C7.52 5.49, 5.52 7.23, 4.41 7.6 C3.31 7.97, 1.61 7.02, 1.12 6.8 C0.62 6.58, 1.45 6.88, 1.44 6.3 C1.42 5.72, 0.84 4.45, 1.04 3.32 C1.25 2.18, 2.11 0.05, 2.68 -0.53 C3.25 -1.11, 4.18 -0.12, 4.46 -0.17 C4.74 -0.21, 4.62 -1.06, 4.37 -0.8" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M1.28 1.25 C1.98 0.97, 3.84 -0.3, 4.61 -0.32 C5.37 -0.34, 5.38 0.55, 5.86 1.13 C6.34 1.71, 7.34 2.21, 7.49 3.16 C7.65 4.12, 7.42 6.13, 6.8 6.86 C6.19 7.58, 4.81 7.42, 3.81 7.52 C2.8 7.62, 1.49 7.97, 0.77 7.45 C0.04 6.94, -0.49 5.37, -0.55 4.42 C-0.62 3.47, -0.16 2.49, 0.35 1.76 C0.86 1.02, 2.26 0.41, 2.51 0.02 C2.77 -0.36, 1.71 -0.77, 1.87 -0.56 M3.62 0.93 C4.22 0.76, 5.3 -0.08, 6.09 -0.04 C6.88 -0.01, 8.05 0.2, 8.38 1.15 C8.7 2.1, 8.58 4.77, 8.05 5.64 C7.52 6.51, 6.08 6.27, 5.19 6.38 C4.31 6.5, 3.53 6.32, 2.76 6.33 C1.99 6.33, 0.84 7.09, 0.55 6.42 C0.27 5.75, 1.09 3.1, 1.07 2.28 C1.06 1.47, 0.02 2.1, 0.46 1.54 C0.9 0.97, 3.46 -0.65, 3.71 -1.1 C3.96 -1.55, 2.18 -1.42, 1.94 -1.19" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(670.960541426391 88.39094022824725) rotate(0 -4.082544193554895 4.706682914823773)" fill-rule="evenodd"><path d="M1.91 -1.56 L1.01 9.47 L-2.21 11.91 L-2.02 15.65 L-5.29 13.42 L-6.75 10.83 L-7.32 8.53 L-7.86 1.62 L-8.92 -2.3 L-4.99 -3.75 L-3.36 -4.76 L-1.76 -5.51 L-0.24 -3.63" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.3 -0.87 C-0.94 5.12, 0 7.78, -0.72 10.13 M0.39 -0.02 C0.12 3.2, 0.42 6.8, -0.05 10.58 M-0.28 10.4 C-0.1 11.41, -0.71 12.07, -1.23 13 M0.08 10.46 C-0.33 11.48, -0.84 12.24, -1.16 12.87 M-1.34 12.83 C-1.75 13.36, -2.7 13.4, -3.68 13.9 M-1.29 12.81 C-1.85 13.24, -2.57 13.54, -3.52 13.98 M-3.62 14.15 C-4.17 14.21, -4.81 13.9, -5.37 14.01 M-3.53 14.11 C-4.07 14.1, -4.82 14.04, -5.53 14.03 M-5.33 13.74 C-6.25 13.81, -6.87 13.09, -7.7 12.05 M-5.35 14.08 C-6.05 13.39, -6.82 12.96, -7.77 12.16 M-7.76 12.08 C-7.9 11.67, -8.1 11.36, -8.49 10.29 M-7.73 12.2 C-8.02 11.77, -8.09 11.16, -8.47 10.44 M-8.24 11.4 C-8.11 6.77, -9.32 2.7, -7.71 0.24 M-8.08 10.15 C-8.21 6.45, -8.74 2.38, -8.12 0.11 M-8.42 0.24 C-8.4 -0.72, -8.08 -1.21, -7.98 -2.03 M-8.2 0.07 C-8.17 -0.49, -8.06 -1.22, -8.04 -2.22 M-8.19 -2.28 C-7.61 -2.77, -7.3 -2.9, -6.61 -4.15 M-7.91 -2.36 C-7.6 -2.55, -7.32 -3.06, -6.6 -3.97 M-6.58 -3.85 C-6.07 -4.15, -5.89 -4.36, -4.58 -4.74 M-6.71 -3.85 C-5.99 -4.18, -5.35 -4.25, -4.74 -4.61 M-4.86 -4.74 C-4.06 -4.46, -3.4 -4.42, -2.37 -4.16 M-4.59 -4.47 C-4.06 -4.4, -3.36 -4.36, -2.51 -4.19 M-2.49 -4.33 C-2.06 -3.64, -1.87 -3.48, -0.91 -2.62 M-2.6 -4.16 C-1.94 -3.59, -1.33 -3.03, -0.67 -2.33 M-0.64 -2.28 C-0.53 -1.62, -0.25 -0.97, -0.21 0.24 M-0.86 -2.56 C-0.44 -1.48, -0.27 -0.59, 0.07 0.08" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(687.4675026580958 100.61934610546496) rotate(0 -4.099026442097852 4.848497226749487)" fill-rule="evenodd"><path d="M1.05 -1.11 L-1.08 9.57 L0.28 14.5 L-3.31 13.47 L-4.37 12.6 L-6.74 10.4 L-8 11.89 L-9.16 0.07 L-6.39 -2.07 L-5.33 -4.16 L-3.9 -5.83 L-1.99 -5.38 L-1.28 -3.05" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.86 0.99 C0.05 1.8, -0.73 4.1, 0.36 9.79 M0.21 -0.38 C0.59 3.61, 0.03 7.93, -0.18 10.63 M0.2 10.78 C-0.43 11.45, -0.76 11.98, -1.01 13.02 M0.07 10.64 C-0.3 11.14, -0.59 11.71, -1.18 13 M-1.09 13.01 C-2.22 13.13, -3.1 13.6, -3.49 13.9 M-1.17 12.9 C-1.97 13.21, -2.7 13.54, -3.46 13.98 M-3.56 14.23 C-4.14 13.93, -4.48 14.04, -5.36 14.14 M-3.39 14.13 C-3.91 14.08, -4.44 14.06, -5.48 14.03 M-5.64 14.26 C-6.38 13.43, -6.8 12.71, -7.82 12.46 M-5.32 13.9 C-6.3 13.34, -7.21 12.6, -7.91 12.35 M-7.75 12.11 C-8.02 11.59, -8.33 10.84, -8.46 10.27 M-7.88 12.27 C-7.98 11.62, -8.24 11.25, -8.32 10.45 M-8.09 10.66 C-9.32 6.86, -7.77 3.28, -7.53 0.33 M-8.24 10.26 C-8.85 7.6, -8.26 5.59, -8.22 0.36 M-8.47 0.01 C-8.11 -0.65, -8.02 -1.45, -8.01 -2.47 M-8.26 0.23 C-8.18 -0.42, -8.16 -1.11, -8.09 -2.22 M-7.94 -2.38 C-7.5 -2.63, -7.12 -3.52, -6.78 -4.05 M-7.93 -2.17 C-7.6 -2.74, -7.25 -3.19, -6.69 -3.94 M-6.53 -4 C-6.2 -4.27, -5.32 -4.52, -4.6 -4.4 M-6.63 -3.97 C-6 -4.06, -5.43 -4.41, -4.66 -4.57 M-4.7 -4.55 C-4.05 -4.5, -3.27 -4.28, -2.5 -4.42 M-4.71 -4.48 C-3.82 -4.42, -2.94 -4.27, -2.59 -4.25 M-2.46 -4.03 C-1.98 -3.57, -1.28 -2.99, -0.68 -2.4 M-2.53 -4.18 C-1.97 -3.66, -1.34 -3, -0.75 -2.58 M-0.75 -2.4 C-0.49 -1.87, -0.56 -0.89, 0.15 0.09 M-0.72 -2.37 C-0.66 -1.78, -0.36 -1.24, 0.12 -0.1" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(704.9039236197607 76.20679923512353) rotate(0 -4.304665496875145 4.683207938669966)" fill-rule="evenodd"><path d="M-1.04 -1.02 L1.41 12.16 L-1.02 12.33 L-2.39 12.66 L-4.36 12.17 L-7.43 13.75 L-9.3 10.33 L-6.62 0.3 L-6.72 -2.48 L-5.87 -5.23 L-4.13 -5.71 L-3.02 -4.8 L-1.38 -1.87" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M0.09 -0.48 C-0.78 1.86, 0.3 3.82, 0.75 11.37 M0.52 -0.35 C0.02 3.14, -0.12 6.33, -0.13 10.1 M-0.09 10.79 C-0.34 11.2, -0.37 11.75, -1.28 13.17 M-0.03 10.55 C-0.24 11.01, -0.49 11.61, -1.08 12.84 M-1.36 12.71 C-1.99 13.07, -2.39 13.37, -3.41 13.82 M-1.22 12.87 C-1.69 13.07, -2.1 13.31, -3.49 13.97 M-3.59 13.94 C-4.06 14.06, -4.72 14.17, -5.59 13.89 M-3.47 14.09 C-4.21 14.07, -4.82 14.06, -5.43 14.06 M-5.64 14 C-5.8 13.49, -6.4 13.53, -7.58 12.43 M-5.38 14 C-6.22 13.31, -7.18 12.89, -7.74 12.3 M-7.82 12.26 C-8.05 11.76, -8.14 11.33, -8.43 10.57 M-7.8 12.15 C-8.04 11.84, -8.02 11.38, -8.34 10.39 M-9.36 10.48 C-7.83 6.4, -7.59 2.38, -8.94 0.74 M-8.83 9.99 C-8.26 7.74, -8.32 5.36, -7.85 -0.24 M-8.22 0.25 C-8.12 -0.49, -8.06 -1.77, -8.1 -2.15 M-8.23 0.21 C-8.22 -0.48, -8.2 -1.09, -8 -2.35 M-7.95 -2.1 C-7.6 -2.95, -7.37 -3.34, -6.68 -3.72 M-7.96 -2.3 C-7.71 -2.65, -7.53 -2.96, -6.61 -3.91 M-6.81 -4.07 C-5.88 -4.34, -5.23 -4.2, -4.61 -4.72 M-6.64 -3.85 C-5.95 -4.23, -5.13 -4.42, -4.67 -4.63 M-4.67 -4.62 C-4.07 -4.42, -3.76 -4.61, -2.31 -4.07 M-4.68 -4.54 C-3.87 -4.41, -3.17 -4.35, -2.42 -4.2 M-2.66 -4.27 C-2.21 -3.95, -1.55 -3.29, -0.74 -2.63 M-2.5 -4.21 C-1.83 -3.5, -1.32 -3.15, -0.81 -2.39 M-0.71 -2.53 C-0.7 -1.31, -0.06 -0.57, -0.18 -0.18 M-0.83 -2.35 C-0.52 -1.85, -0.3 -1.49, 0.07 -0.07" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(721.1189380449339 63.837524490808846) rotate(0 -4.165826104748021 4.799790763093824)" fill-rule="evenodd"><path d="M1.45 1.57 L0.11 9.98 L-0.1 11.51 L-2.39 12.22 L-5.05 15.53 L-8.73 12.2 L-6.77 10.56 L-6.96 -0.11 L-7.26 -3.55 L-6.09 -5.11 L-5.16 -5.13 L-3.13 -3.63 L0.55 -3.57" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-0.68 -0.45 C0.4 3.37, 0.76 9.12, -0.07 11.01 M-0.01 0 C-0.05 2.45, 0 4.33, -0.42 11.08 M-0.1 10.65 C-0.31 11.56, -1 12.58, -1.42 13.14 M-0.03 10.52 C-0.43 11.45, -0.71 12.09, -1.22 12.97 M-1.39 12.76 C-1.96 13.12, -2.65 13.42, -3.71 14.06 M-1.22 12.84 C-1.8 13.15, -2.47 13.45, -3.42 14.01 M-3.39 14.06 C-4.14 14.16, -5.12 13.89, -5.37 14.16 M-3.55 14.08 C-4.22 14.06, -4.88 14.07, -5.53 13.95 M-5.32 13.83 C-6.34 13.56, -7.01 12.85, -7.69 12.48 M-5.39 13.93 C-6.06 13.73, -6.42 13.29, -7.95 12.3 M-7.92 12.16 C-8.02 11.7, -8.12 11.58, -8.49 10.27 M-7.9 12.31 C-7.93 11.71, -8.14 11.06, -8.3 10.41 M-7.86 10.51 C-7.53 7.22, -8.89 4.28, -8.7 0.43 M-8.27 10.37 C-8.23 7.78, -7.82 4.35, -7.99 -0.34 M-8.22 0.35 C-8.19 -0.7, -8.22 -0.98, -8.1 -2.27 M-8.28 0.15 C-8.24 -0.78, -8.06 -1.84, -8.03 -2.21 M-8 -2.47 C-7.84 -2.79, -7.4 -2.87, -6.83 -3.76 M-7.99 -2.29 C-7.57 -2.88, -6.97 -3.48, -6.58 -3.89 M-6.55 -4.14 C-6.04 -3.94, -5.52 -4.43, -4.49 -4.56 M-6.7 -4.01 C-6.11 -4.14, -5.6 -4.36, -4.75 -4.56 M-4.51 -4.49 C-4.01 -4.65, -3.19 -4.2, -2.38 -4.32 M-4.64 -4.51 C-3.98 -4.46, -3.05 -4.29, -2.57 -4.18 M-2.66 -4.37 C-1.79 -3.49, -1.19 -3.06, -0.68 -2.47 M-2.42 -4.09 C-1.93 -3.76, -1.41 -3, -0.69 -2.44 M-0.99 -2.21 C-0.37 -1.57, -0.45 -1.05, -0.21 0.1 M-0.7 -2.38 C-0.37 -1.66, -0.15 -0.72, -0.07 -0.07" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(654.0094670187189 51.204436036538254) rotate(0 -4.140345781005749 4.743008240256472)" fill-rule="evenodd"><path d="M0.15 -0.6 L1.03 9.17 L-0.09 11.08 L-3.07 15.58 L-6.35 13.97 L-6.19 12.43 L-7.1 10.15 L-7.5 -1.18 L-7.49 -3.42 L-7.13 -4.53 L-5.27 -3.96 L-1.2 -5.33 L-2.54 -3.71" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.4 -0.79 C0.71 3.48, -0.12 5.82, -0.8 11.63 M-0.14 0.04 C-0.1 1.98, -0.4 5.44, 0.35 10.48 M0.12 10.67 C-0.59 11.72, -1.15 12.58, -1.06 12.95 M-0.05 10.65 C-0.25 11.13, -0.7 11.9, -1.13 12.83 M-1.19 12.76 C-1.62 12.91, -2.4 13.39, -3.52 13.97 M-1.16 12.84 C-1.78 13.1, -2.28 13.43, -3.36 13.99 M-3.38 14.19 C-4.08 13.93, -4.32 14.19, -5.32 14 M-3.51 14.08 C-4.08 14.09, -4.81 13.98, -5.36 13.96 M-5.44 14.24 C-5.91 13.67, -6.72 13.2, -8.06 12.37 M-5.53 14.12 C-6.05 13.55, -6.95 13.04, -7.93 12.25 M-7.89 12.14 C-8.02 11.87, -8.26 11, -8.36 10.43 M-7.75 12.32 C-7.87 11.89, -7.94 11.52, -8.37 10.29 M-7.67 10.59 C-9.09 7.83, -8.81 4.33, -8.49 -0.75 M-8.36 10.62 C-7.98 7.73, -8.09 5.32, -8.49 0.19 M-8.25 -0.1 C-8.25 -0.62, -8.18 -1.58, -7.8 -2.21 M-8.33 0.15 C-8.14 -0.87, -8.08 -1.62, -8.08 -2.22 M-8.17 -2.37 C-7.56 -2.64, -7.19 -3.3, -6.46 -3.83 M-8.09 -2.26 C-7.65 -2.66, -7.25 -3.07, -6.66 -4.04 M-6.57 -3.79 C-6.12 -4.24, -5.54 -4.22, -4.74 -4.57 M-6.63 -3.96 C-5.87 -4.25, -5.19 -4.41, -4.67 -4.54 M-4.64 -4.75 C-3.88 -4.32, -3.39 -4.48, -2.4 -4.25 M-4.73 -4.57 C-3.91 -4.43, -3.42 -4.32, -2.44 -4.28 M-2.43 -4.16 C-2.02 -3.89, -1.47 -3.25, -0.71 -2.42 M-2.5 -4.33 C-2.01 -3.63, -1.36 -3.15, -0.74 -2.43 M-0.62 -2.37 C-0.76 -1.97, -0.58 -1.02, 0.18 -0.11 M-0.65 -2.56 C-0.4 -1.6, -0.24 -0.67, 0.09 0.1" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(680.3306472775578 84.62328479116923) rotate(0 3.564694583320261 3.564694583320261)"><path d="M3.6 -0.6 C4.47 -0.64, 6.06 0.48, 6.71 1.29 C7.37 2.09, 7.74 3.57, 7.54 4.23 C7.34 4.89, 6.01 4.65, 5.49 5.24 C4.98 5.84, 4.98 7.58, 4.45 7.8 C3.92 8.01, 3.01 7.2, 2.32 6.54 C1.64 5.88, 0.69 4.61, 0.35 3.83 C0.01 3.05, 0.04 2.41, 0.3 1.86 C0.56 1.31, 1.15 0.98, 1.9 0.53 C2.65 0.08, 4.46 -0.93, 4.8 -0.84 C5.14 -0.75, 4.14 0.85, 3.96 1.05 M5.36 1.27 C6.4 1.48, 6.79 1.79, 7.28 1.99 C7.77 2.19, 8.38 1.84, 8.31 2.46 C8.24 3.09, 7.46 5.12, 6.85 5.75 C6.24 6.37, 5.63 5.89, 4.62 6.21 C3.61 6.53, 1.41 7.82, 0.8 7.65 C0.2 7.49, 1.29 6.01, 0.98 5.21 C0.67 4.4, -1.02 3.6, -1.05 2.82 C-1.07 2.03, -0.08 1.06, 0.82 0.48 C1.72 -0.1, 3.88 -0.54, 4.34 -0.68 C4.8 -0.82, 3.75 -0.51, 3.58 -0.37" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M4.14 1.23 C4.72 1.38, 5.54 1.36, 6.02 1.83 C6.51 2.29, 7.08 3.27, 7.06 4 C7.03 4.72, 6.62 5.78, 5.87 6.19 C5.12 6.59, 3.18 6.28, 2.56 6.41 C1.94 6.54, 2.6 7.23, 2.15 6.97 C1.7 6.72, 0.16 5.74, -0.15 4.9 C-0.46 4.07, -0.24 2.71, 0.29 1.98 C0.82 1.25, 2.26 0.62, 3.03 0.53 C3.8 0.43, 4.6 1.2, 4.89 1.39 C5.18 1.58, 4.65 1.74, 4.76 1.65 M2.98 0.81 C3.86 0.62, 5.97 -0.81, 6.54 -0.45 C7.11 -0.09, 6.26 2.24, 6.4 2.95 C6.54 3.66, 7.76 3.39, 7.35 3.81 C6.94 4.22, 4.86 4.92, 3.93 5.45 C3.01 5.97, 2.5 6.83, 1.8 6.93 C1.11 7.03, 0.3 6.86, -0.24 6.04 C-0.79 5.22, -1.63 2.88, -1.44 2.01 C-1.26 1.13, 0.22 1.26, 0.87 0.81 C1.53 0.36, 2.22 -0.37, 2.49 -0.67 C2.76 -0.98, 2.39 -1.01, 2.51 -1.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(715.2320760172126 103.60441740625515) rotate(44.99999999999995 -7.922245232740579 20.17193746850603)" fill-rule="evenodd"><path d="M1.08 -1.85 L-6.38 42.83 L-8.8 43.62 L-8.57 45 L-10.87 44.54 L-13.8 41.69 L-14.6 39.95 L-8.76 -0.48 L-8.62 -1.67 L-5.3 -5.05 L-6.42 -5.8 L-3.07 -4.24 L-1.62 -1.17" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.06 0.79 C-2.66 11.33, -4.07 18.6, -6.77 40.79 M-0.72 0.94 C-1.42 12.47, -3.44 25.15, -6.51 41.93 M-7.02 41.54 C-7.05 42.13, -7.6 42.92, -8.02 43.65 M-6.82 41.37 C-7.11 42.05, -7.66 42.86, -7.98 43.66 M-8.14 43.66 C-8.49 43.81, -9.09 44.08, -10.38 44.83 M-7.85 43.61 C-8.33 43.83, -9.05 44.23, -10.2 44.87 M-10.13 44.95 C-10.79 44.77, -11.58 44.59, -12.16 44.68 M-10.29 44.75 C-10.72 44.74, -11.41 44.83, -12.23 44.76 M-12.04 44.99 C-13.31 44.24, -14 43.56, -14.73 42.81 M-12.3 44.82 C-13.16 44.12, -13.94 43.38, -14.62 42.94 M-14.65 42.88 C-14.65 42.59, -15.02 41.92, -15.01 41.27 M-14.46 43.02 C-14.75 42.2, -14.98 41.65, -15.11 41.19 M-16 41.72 C-13.12 26.26, -11.97 15.32, -8.27 0.26 M-14.61 40.22 C-13.53 27.08, -10.13 12.86, -7.29 0.13 M-8.34 0.1 C-7.98 -0.33, -7.97 -0.93, -7.95 -2.41 M-8.26 0.16 C-8.24 -0.63, -8.02 -1.44, -8.13 -2.34 M-8.22 -2.08 C-7.51 -2.58, -7.42 -3.04, -6.69 -4.08 M-7.97 -2.21 C-7.64 -2.86, -7.26 -3.22, -6.73 -3.9 M-6.45 -3.96 C-5.98 -4.17, -5 -4.52, -4.81 -4.55 M-6.72 -3.95 C-6.09 -4.09, -5.59 -4.18, -4.63 -4.53 M-4.52 -4.65 C-4.11 -4.53, -3.78 -4.39, -2.47 -4.36 M-4.71 -4.51 C-4 -4.52, -3.53 -4.43, -2.59 -4.17 M-2.42 -4.23 C-1.89 -3.6, -1.38 -2.86, -0.53 -2.41 M-2.44 -4.2 C-2.14 -3.84, -1.85 -3.61, -0.65 -2.38 M-0.98 -2.36 C-0.35 -1.74, -0.07 -0.66, 0.15 0.25 M-0.84 -2.52 C-0.49 -1.8, -0.41 -1.4, 0.07 -0.09" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(652.1096654301316 103.85441432723451) rotate(135.00000000000006 6.9111126708677375 20.139837816852832)" fill-rule="evenodd"><path d="M0.39 1.51 L5.87 41.28 L9.53 43.85 L11.49 44.59 L12.93 43.46 L15.08 41.82 L14.62 40.53 L7.64 0.7 L9.33 -3.37 L4.86 -5.19 L4.11 -4.57 L1.67 -2.93 L1.64 -2.69" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-1.44 1.98 C1.19 15.39, 5.05 30.38, 6.93 41 M0.73 -0.19 C1.91 8.29, 2.78 17.71, 7.11 40.88 M6.87 41.34 C7.12 42.25, 7.51 43.14, 8.03 43.85 M6.81 41.23 C6.91 41.76, 7.2 42.4, 7.81 43.7 M7.84 43.57 C8.23 43.8, 8.63 44.16, 10.02 44.75 M8 43.59 C8.33 43.98, 8.92 44.24, 10.27 44.72 M10.31 44.8 C10.69 44.61, 11.13 44.69, 12.18 44.78 M10.28 44.75 C10.85 44.85, 11.46 44.79, 12.24 44.84 M11.93 44.88 C12.99 44.2, 13.71 43.28, 14.76 43.14 M12.07 44.77 C12.99 44.09, 13.71 43.52, 14.47 42.96 M14.59 43.03 C14.6 42.08, 15.14 41.65, 15.27 41.22 M14.58 42.9 C14.72 42.45, 14.91 41.88, 15.14 41.05 M14.65 39.44 C11.3 26.84, 10.33 11.68, 9.19 1.7 M14.66 41.25 C13.88 31.72, 12.7 22.14, 7.34 -0.22 M8.47 0.17 C8.36 -0.75, 8.16 -1.67, 8.09 -2.22 M8.19 0.15 C8.28 -0.39, 8.03 -1, 7.95 -2.29 M8.17 -2.15 C7.38 -2.86, 6.84 -3.73, 6.62 -3.91 M7.98 -2.35 C7.49 -2.74, 7.01 -3.29, 6.7 -3.91 M6.54 -3.97 C6.38 -4.22, 5.64 -4.2, 4.6 -4.56 M6.61 -3.94 C6.18 -3.99, 5.84 -4.18, 4.56 -4.44 M4.77 -4.58 C3.88 -4.4, 3.15 -4.46, 2.45 -4.01 M4.74 -4.6 C3.96 -4.49, 3.24 -4.29, 2.54 -4.2 M2.58 -4.18 C2.14 -3.6, 1.97 -3.36, 0.53 -2.53 M2.55 -4.18 C1.88 -3.69, 1.42 -2.9, 0.82 -2.54 M0.95 -2.56 C0.77 -1.74, 0.55 -1.07, -0.2 0.13 M0.87 -2.35 C0.58 -1.9, 0.45 -1.35, 0.07 -0.12" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(676.0282325111955 133.9982946704888) rotate(0 7.417563731671635 7.844091355587693)"><path d="M6.51 -0.66 C8 -0.78, 10.94 1.29, 12.4 2.44 C13.87 3.59, 15.02 4.86, 15.3 6.25 C15.57 7.63, 14.93 9.32, 14.07 10.73 C13.22 12.15, 11.66 13.97, 10.16 14.74 C8.66 15.51, 6.54 15.99, 5.08 15.35 C3.63 14.72, 2.37 12.27, 1.43 10.95 C0.48 9.63, -0.65 8.97, -0.58 7.46 C-0.5 5.95, 0.34 3.22, 1.87 1.87 C3.41 0.53, 7.42 -0.47, 8.64 -0.6 C9.85 -0.72, 9.1 0.77, 9.15 1.11 M9.62 0 C11.01 0.3, 13.1 0.64, 13.82 2.17 C14.53 3.71, 13.95 7.31, 13.93 9.22 C13.91 11.13, 14.83 12.48, 13.69 13.64 C12.55 14.8, 8.99 16.03, 7.11 16.17 C5.23 16.32, 3.52 15.63, 2.41 14.52 C1.29 13.4, 0.84 11.17, 0.42 9.47 C0 7.78, -0.57 5.82, -0.12 4.35 C0.33 2.87, 1.36 1.45, 3.12 0.63 C4.89 -0.18, 9.65 -0.54, 10.49 -0.54 C11.33 -0.54, 8.38 0.63, 8.16 0.63" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M7.39 -0.16 C8.75 -0.36, 9.81 -0.17, 11.18 1.05 C12.56 2.26, 15.22 5.2, 15.64 7.11 C16.06 9.01, 14.67 11.08, 13.7 12.47 C12.73 13.86, 11.17 14.92, 9.82 15.44 C8.47 15.96, 7.12 16.03, 5.59 15.59 C4.05 15.15, 1.68 14.14, 0.6 12.78 C-0.48 11.42, -1.27 9.22, -0.88 7.41 C-0.48 5.61, 1.54 3.19, 2.97 1.97 C4.4 0.74, 6.84 0.38, 7.7 0.08 C8.55 -0.22, 8 -0.06, 8.12 0.18 M5.47 -0.68 C6.75 -1.59, 7.53 -1.53, 8.77 -0.77 C10.01 0, 12.07 2.17, 12.9 3.9 C13.72 5.63, 14.09 8.18, 13.72 9.62 C13.34 11.05, 11.73 11.56, 10.66 12.52 C9.58 13.47, 8.7 15.24, 7.25 15.34 C5.8 15.43, 3.26 14.3, 1.97 13.07 C0.67 11.85, -0.36 9.7, -0.49 7.99 C-0.63 6.27, 0.31 4.24, 1.16 2.79 C2.02 1.34, 3.89 -0.23, 4.64 -0.72 C5.38 -1.2, 5.31 -0.3, 5.61 -0.14" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(680.3968737836963 138.61814324623742) rotate(0 3.04892245917074 3.2242427798390736)"><path d="M4.27 0.85 C5.1 1.1, 5.88 1.08, 6.21 1.39 C6.53 1.7, 6.4 2.1, 6.23 2.72 C6.06 3.35, 5.68 4.53, 5.19 5.16 C4.7 5.8, 3.87 6.58, 3.27 6.53 C2.67 6.48, 2.21 5.14, 1.57 4.85 C0.93 4.55, -0.27 5.29, -0.59 4.77 C-0.9 4.24, -0.8 2.55, -0.33 1.69 C0.15 0.83, 1.46 -0.29, 2.26 -0.39 C3.05 -0.49, 3.87 0.8, 4.44 1.09 C5.01 1.37, 5.62 1.28, 5.67 1.34 M2.39 -0.63 C2.7 -0.72, 2.38 0.76, 3.05 1.19 C3.72 1.63, 6.12 1.49, 6.4 1.99 C6.69 2.49, 5.17 3.58, 4.78 4.19 C4.39 4.79, 4.33 5.39, 4.08 5.64 C3.83 5.89, 3.86 5.76, 3.27 5.7 C2.68 5.64, 1.2 5.62, 0.53 5.28 C-0.15 4.94, -0.99 4.38, -0.78 3.67 C-0.56 2.96, 1.52 1.54, 1.82 1.02 C2.13 0.5, 0.99 0.91, 1.06 0.55 C1.13 0.18, 2.31 -1.3, 2.26 -1.15" stroke="none" stroke-width="0" fill="white"></path><path d="M1.72 -0.69 C2.47 -0.67, 4.95 0.61, 5.62 1.23 C6.29 1.86, 5.76 2.47, 5.76 3.05 C5.76 3.63, 5.75 4.15, 5.64 4.72 C5.52 5.28, 5.69 5.99, 5.07 6.42 C4.46 6.85, 2.85 7.36, 1.95 7.29 C1.05 7.23, -0.08 6.71, -0.34 6.02 C-0.6 5.33, 0.26 3.97, 0.4 3.15 C0.55 2.33, 0.16 1.65, 0.53 1.11 C0.9 0.57, 2.03 -0.02, 2.6 -0.07 C3.18 -0.12, 4.03 0.8, 4 0.81 M2.24 -1.24 C2.61 -1.01, 3.87 0.2, 4.35 0.99 C4.83 1.77, 5.18 2.99, 5.11 3.47 C5.05 3.94, 4.23 3.41, 3.97 3.84 C3.72 4.27, 4.08 5.79, 3.58 6.04 C3.08 6.29, 1.63 5.8, 0.97 5.34 C0.31 4.88, -0.27 3.97, -0.39 3.28 C-0.5 2.58, 0.02 1.81, 0.28 1.15 C0.53 0.49, 0.49 -0.38, 1.13 -0.69 C1.77 -0.99, 3.5 -0.66, 4.1 -0.69 C4.7 -0.72, 5 -1.14, 4.72 -0.87" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(404.4518432766588 58.17038141002877) rotate(0 4.449002004008037 17.591224521640584)"><path d="M0.55 -1.88 L9.09 1.05 L9.15 36.6 L0.41 33.85" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.76 -0.59 C2.89 -0.51, 6.1 -0.78, 8.06 -0.03 M-0.17 -0.33 C2.49 -0.26, 4.82 -0.3, 9.07 -0.22 M9.64 -0.08 C9.49 14.58, 7.15 25.46, 9.56 36.6 M8.01 0.06 C8.45 12.73, 8.96 25.69, 7.95 34.52 M9.25 34.61 C5.5 35.82, 2.81 35.73, 0.38 35.88 M9.05 34.92 C6.67 35.48, 5.21 35.32, -0.38 35.35 M-1 34.28 C-0.69 25.93, -0.36 20.93, -0.97 -1.08 M-0.82 35.78 C0.71 24.66, 0.43 12.83, 1 0.3" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(404.6631213489118 94.73557453983244) rotate(0 4.449002004008037 17.591224521640584)"><path d="M0.19 1.05 L9.15 1.41 L9.3 33.85 L1.22 34.31" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.07 -0.58 C2.09 -0.8, 2.98 0.02, 8.69 -0.36 M0.03 -0.31 C2.15 -0.28, 4.67 -0.15, 9.26 -0.29 M9.72 1.19 C7.51 6.89, 9.69 17.86, 10.1 35.03 M8.48 0.06 C8.67 11.47, 7.63 21.56, 9.72 34.52 M8.89 35.83 C7 35.68, 4.06 35.82, -0.71 35.55 M8.63 35.49 C6.57 35.28, 3.39 35.29, -0.31 35.2 M-0.68 34.04 C-0.18 26.44, -0.79 12.65, 0.39 0.48 M0.79 35.91 C0.81 28.21, 1.28 21.23, 0.28 -0.94" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(486.561276801634 58.25641081183039) rotate(0 4.4490020040080935 17.591224521640584)"><path d="M0.25 1.41 L9.3 -1.34 L10.12 34.31 L0.6 34.71" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.18 -0.86 C1.24 0.02, 3.95 -0.3, 8.48 -0.35 M-0.1 -0.34 C2.18 -0.15, 4.38 -0.23, 8.6 0.17 M7.38 -1.33 C9.71 11.83, 10.24 20.67, 9.22 33.4 M8.98 0.36 C7.8 10.11, 9.57 20.88, 8.83 35.58 M9.61 35.73 C7.19 35.95, 4 35.61, -0.11 35.49 M9.13 35.33 C6.37 35.41, 4.3 35.26, 0.02 34.96 M-0.35 37.16 C-0.85 25.13, 0.51 17.73, -1.95 -1.64 M0.52 35.33 C0.72 22.81, 0 8.9, 0.1 0.52" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(486.77255487388675 94.8216039416343) rotate(0 4.4490020040080935 17.591224521640584)"><path d="M0.41 -1.34 L10.12 -0.87 L9.5 34.71 L-1.68 33.66" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.84 -0.03 C1.88 -0.27, 3.75 -0.26, 8.24 0.07 M0.17 -0.22 C2.42 -0.22, 3.82 0.23, 8.88 0.18 M9.56 1.42 C9.83 12.49, 8.95 23.5, 9.02 34.34 M7.95 -0.66 C9.75 10.11, 8.86 21.94, 8.25 35.18 M9.28 35.88 C4.88 35.6, 2.16 35.55, -0.52 34.65 M8.51 35.35 C5.3 35.23, 2.34 34.99, -0.2 35.03 M-0.97 34.1 C0.46 27.11, -1.89 16.44, 1.2 1.58 M1 35.48 C0.09 21.13, -0.09 9.48, 0.12 0.71" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(445.4895474045461 43.777825565661715) rotate(0 4.4490020040080935 24.774688480171108)"><path d="M1.22 -0.87 L9.5 -0.47 L7.22 48.03 L0.5 49.53" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.21 -0.36 C1.39 -0.35, 2.96 0.07, 8.29 -0.21 M0.36 -0.29 C1.69 0.21, 3.96 0.23, 9.16 -0.34 M10.1 -0.16 C9.38 9.78, 9.19 22.3, 9.02 49.72 M9.72 -0.66 C8.36 17.02, 7.78 33.25, 9.62 50.35 M8.19 49.91 C5.57 49.93, 1.93 49.08, 0.62 50.02 M8.59 49.56 C5.95 49.36, 2.76 49.43, -0.25 49.47 M0.39 50.03 C-1.71 28.14, 1.44 11.58, 1.46 1.04 M0.28 48.61 C-0.4 34.49, -0.37 19.08, 0.2 -0.67" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(445.7008254767993 94.70994661252644) rotate(0 4.4490020040080935 25.256113910905924)"><path d="M0.6 -0.47 L7.22 -1.52 L9.4 50.5 L0.14 51.45" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.42 -0.35 C1.98 0.1, 4.66 -0.17, 8.22 0.34 M-0.3 0.17 C2.22 0.24, 4.74 -0.28, 8.6 0.15 M9.22 -1.79 C9.33 17.9, 9.32 37.64, 9.61 48.61 M8.83 0.4 C8.67 11.79, 10.04 24.39, 9.52 50.94 M8.79 50.82 C5.01 50.01, 2.78 51.02, 0.3 49.74 M8.92 50.29 C5.7 50.36, 2.65 50.44, 0.44 50.3 M-1.95 48.87 C1.1 39.67, 1.36 26.71, 0.29 1.99 M0.1 51.04 C-0.02 34.57, 0.06 16.55, 0.61 -0.44" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(466.79759698159023 74.63671487746933) rotate(0 4.4490020040080935 9.73652907522353)"><path d="M-1.68 -1.52 L9.4 -0.02 L9.04 20.41 L1.58 18.09" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.66 0.07 C1.7 -0.17, 3.94 0.38, 8.47 0.72 M-0.02 0.18 C2.36 -0.37, 3.89 0.11, 9.21 0.27 M9.02 -0.82 C9.05 5.86, 9.62 9.52, 7.6 21.07 M8.27 0 C9.59 5.33, 9.49 9.53, 9.66 18.7 M8.37 18.94 C6.49 19.97, 3.13 18.74, 0.33 18.86 M8.7 19.32 C5.95 19.35, 3.94 19.21, -0.24 19.56 M1.17 21.01 C1.61 14.17, 0.47 8.79, 0.58 0.54 M0.12 20.16 C0.18 14.81, 0.58 11.02, 0.29 -0.23" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(467.00887505384367 95.49251711443912) rotate(0 4.4490020040080935 9.797141967945777)"><path d="M0.5 -0.02 L9.04 0.94 L10.48 18.21 L1.04 17.8" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.61 -0.21 C1.64 0.34, 4.21 0.71, 8.32 -0.59 M0.26 -0.34 C2.71 0.11, 6.32 0.23, 8.86 0.07 M9.02 0.17 C9.61 2.26, 7.61 9.86, 7.6 19.46 M9.61 0.78 C9.38 7.08, 9.54 12.54, 9.3 19.48 M9.52 20.06 C6.22 18.77, 3.27 18.92, 0.03 19.64 M8.64 19.52 C7.11 19.35, 4.21 19.65, 0.11 19.16 M1.43 20.61 C0.17 17.27, 0.46 11.59, -1.84 0.19 M0.2 18.94 C0.57 12.26, 0.27 5.55, -0.82 -0.74" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(425.1278343124943 74.52567042366809) rotate(0 4.449002004008037 9.484397400171474)"><path d="M0.14 0.94 L10.48 -1.38 L9.94 17.18 L-0.93 19.24" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.68 0.34 C2.31 0.74, 4.9 -0.57, 9.23 -0.04 M-0.3 0.15 C3.35 0.33, 6.04 0.14, 8.5 0.03 M9.57 -1.81 C7.65 6.45, 7.66 9.66, 9.66 17.75 M9.49 0.41 C9.78 4.93, 9.42 11.25, 9.23 18.41 M9.2 18.2 C7.09 18.4, 4.66 19.06, -0.44 18.57 M9.34 18.75 C6.29 19.04, 4.27 18.52, -0.36 19.24 M0.28 20.86 C0.42 12.3, -1.92 4.77, 0.99 0.23 M0.58 18.56 C0.25 11.71, -0.84 4.18, 0.24 -0.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(425.3391123847473 94.87720931053377) rotate(0 4.449002004008037 9.412061485597064)"><path d="M1.58 -1.38 L9.94 -1.79 L7.97 19.1 L1.1 19.09" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M-0.43 0.72 C1.89 -0.63, 5.26 -0.07, 9.26 0.53 M0.32 0.27 C1.96 0.04, 3.59 0, 8.71 0.03 M7.65 1.54 C7.72 5.68, 9.72 10.4, 8.89 20.19 M9.64 -0.75 C9.4 7.04, 9.34 13.75, 8.33 19.48 M9.23 18.21 C5.79 18.79, 2.18 18.35, -0.3 18.32 M8.66 18.91 C6.49 18.35, 3.51 19.05, 0.35 19.15 M0.56 19.34 C-1.79 12.38, 0.96 5.8, 1.33 0.38 M0.28 18.6 C-0.91 13.72, 0.12 10.04, 0.07 0.44" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(527.0148029821826 269) rotate(0 -31.39789766818285 -54.52124664187431)"><path d="M2.31 2.19 C-18.39 -28.55, -34.5 -56.44, -64.99 -111.23 M-0.05 -0.42 C-21.97 -28.28, -38.9 -59.02, -65.11 -109.03" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(527.0148029821826 269) rotate(0 -31.39789766818285 -54.52124664187431)"><path d="M-40.48 -86.79 C-51.48 -96.13, -57.22 -102.18, -65.09 -110.26 M-42.84 -89.4 C-51.09 -92.65, -56.04 -98.14, -65.21 -108.06" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(527.0148029821826 269) rotate(0 -31.39789766818285 -54.52124664187431)"><path d="M-58.58 -77.13 C-65.11 -89.01, -66.46 -97.4, -65.09 -110.26 M-60.94 -79.74 C-64.29 -85.97, -64.16 -94.18, -65.21 -108.06" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(636.3066450145197 269) rotate(0 24.236436765401095 -53.778301133660534)"><path d="M1.91 3.34 C15.1 -36.7, 30.42 -73.88, 47.94 -108.63 M0.54 0.74 C12.14 -25.15, 22.24 -51.2, 47.15 -110.9" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(636.3066450145197 269) rotate(0 24.236436765401095 -53.778301133660534)"><path d="M47.75 -77.58 C45.12 -89.71, 44.61 -99.22, 48 -109.53 M46.38 -80.18 C46.34 -87.98, 45.76 -95.37, 47.21 -111.8" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(636.3066450145197 269) rotate(0 24.236436765401095 -53.778301133660534)"><path d="M28.79 -85.44 C32.71 -94.95, 38.76 -101.74, 48 -109.53 M27.42 -88.03 C31.71 -93.76, 35.55 -99.32, 47.21 -111.8" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(373.5247974890185 10) rotate(0 75.49000549316406 12.5)"><text x="75.49000549316406" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Speech to text</text></g><g transform="translate(631.3248005407763 12) rotate(0 48.69000244140625 12.5)"><text x="48.69000244140625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Vertex AI</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/08/20230820-gcp-huggingface.svg b/assets/2023/08/20230820-gcp-huggingface.svg
new file mode 100644
index 0000000..fbed8f3
--- /dev/null
+++ b/assets/2023/08/20230820-gcp-huggingface.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 839.0404613632668 493.25344494716023" width="1678.0809227265336" height="986.5068898943205"><symbol id="image-ecc95e91a94ba9aa2301e30b7ad6c75a14279879"><image width="100%" height="100%" href="data:image/svg+xml;base64,<svg xmlns="http://www.w3.org/2000/svg" width="256" height="256" viewBox="0 0 256 256" fill="none">
<path d="M230.721 172.7C230.183 170.673 229.313 168.75 228.146 167.008C228.396 166.091 228.587 165.159 228.714 164.217C229.543 158.241 227.471 152.77 223.567 148.537C221.452 146.225 219.185 144.698 216.784 143.761C218.36 137.018 219.157 130.117 219.161 123.193C219.161 120.03 218.982 116.932 218.682 113.88C218.526 112.356 218.337 110.836 218.115 109.32C217.428 104.847 216.408 100.431 215.064 96.11C214.183 93.2707 213.164 90.476 212.01 87.736C210.281 83.6782 208.262 79.75 205.969 75.982C204.465 73.475 202.827 71.0508 201.062 68.72C200.197 67.543 199.296 66.3938 198.358 65.274C195.58 61.898 192.561 58.7277 189.325 55.788C188.25 54.7997 187.145 53.8453 186.01 52.926C184.893 51.9943 183.751 51.0927 182.586 50.222C180.241 48.4766 177.818 46.8392 175.324 45.315C161.543 36.945 145.382 32.145 128.109 32.145C77.817 32.145 37.057 72.907 37.057 123.196C37.055 130.208 37.867 137.196 39.477 144.02C37.317 144.958 35.247 146.42 33.327 148.535C29.424 152.766 27.351 158.217 28.18 164.193C28.306 165.142 28.495 166.082 28.747 167.006C27.5811 168.749 26.7117 170.673 26.174 172.7C24.974 177.261 25.369 181.374 26.894 184.978C25.236 189.688 25.65 194.704 27.809 199.065C29.379 202.25 31.626 204.714 34.396 206.916C37.689 209.534 41.811 211.758 46.783 213.892C52.715 216.422 59.956 218.799 63.249 219.671C71.755 221.873 79.911 223.269 88.177 223.337C99.954 223.446 110.096 220.677 117.357 213.59C120.924 214.027 124.515 214.246 128.109 214.244C131.906 214.236 135.699 213.997 139.467 213.529C146.711 220.661 156.892 223.455 168.712 223.343C176.977 223.277 185.133 221.881 193.617 219.676C196.932 218.804 204.17 216.427 210.105 213.897C215.077 211.76 219.199 209.536 222.514 206.922C225.263 204.719 227.508 202.256 229.079 199.071C231.26 194.709 231.652 189.693 230.017 184.983C231.527 181.379 231.92 177.257 230.721 172.7ZM222.281 184.673C223.952 187.844 224.059 191.427 222.585 194.764C220.349 199.821 214.795 203.805 204.008 208.082C197.3 210.742 191.158 212.443 191.104 212.458C182.232 214.759 174.208 215.928 167.262 215.928C155.76 215.928 147.201 212.754 141.773 206.486C132.594 208.05 123.222 208.103 114.026 206.644C108.591 212.808 100.081 215.928 88.676 215.928C81.729 215.928 73.706 214.759 64.833 212.458C64.779 212.443 58.639 210.742 51.929 208.082C41.143 203.805 35.587 199.824 33.352 194.764C31.878 191.427 31.985 187.844 33.656 184.673C33.81 184.378 33.976 184.091 34.153 183.813C33.1516 182.309 32.4799 180.61 32.182 178.827C31.8842 177.045 31.967 175.22 32.425 173.472C33.089 170.949 34.46 168.851 36.322 167.344C35.425 165.87 34.8365 164.23 34.592 162.522C34.056 158.808 35.289 155.1 38.062 152.076C40.222 149.723 43.275 148.428 46.655 148.428H46.745C44.1965 140.259 42.9044 131.75 42.913 123.193C42.913 76.522 80.749 38.683 127.427 38.683C174.104 38.683 211.94 76.518 211.94 123.193C211.947 131.773 210.646 140.304 208.081 148.492C208.489 148.452 208.889 148.432 209.282 148.431C212.662 148.431 215.716 149.726 217.874 152.079C220.647 155.1 221.881 158.811 221.344 162.525C221.1 164.233 220.511 165.873 219.615 167.347C221.477 168.854 222.849 170.952 223.512 173.475C223.97 175.223 224.053 177.048 223.755 178.831C223.458 180.613 222.786 182.312 221.784 183.816C221.961 184.091 222.129 184.378 222.281 184.673Z" fill="white"/>
<path d="M221.784 183.816C222.786 182.312 223.458 180.613 223.756 178.831C224.053 177.048 223.97 175.223 223.512 173.475C222.848 170.952 221.476 168.854 219.615 167.347C220.512 165.873 221.1 164.233 221.344 162.525C221.881 158.811 220.648 155.103 217.874 152.079C215.716 149.726 212.662 148.431 209.282 148.431C208.889 148.431 208.489 148.452 208.081 148.492C210.643 140.304 211.942 131.774 211.933 123.195C211.933 76.5231 174.097 38.6851 127.424 38.6851C80.75 38.6851 42.9099 76.5191 42.9099 123.195C42.9015 131.752 44.1936 140.261 46.742 148.43H46.6519C43.2719 148.43 40.219 149.724 38.06 152.077C35.287 155.098 34.0529 158.81 34.5899 162.523C34.8346 164.231 35.4231 165.872 36.3199 167.346C34.4579 168.852 33.086 170.95 32.422 173.473C31.9642 175.222 31.8817 177.047 32.1799 178.83C32.4781 180.612 33.1501 182.312 34.1519 183.816C33.9739 184.094 33.8099 184.381 33.6549 184.676C31.9849 187.847 31.877 191.43 33.352 194.767C35.588 199.824 41.1419 203.808 51.9289 208.085C58.6359 210.745 64.779 212.446 64.833 212.461C73.705 214.762 81.729 215.931 88.675 215.931C100.081 215.931 108.591 212.811 114.026 206.647C123.222 208.106 132.594 208.052 141.773 206.489C147.201 212.757 155.76 215.931 167.262 215.931C174.208 215.931 182.232 214.762 191.103 212.461C191.158 212.446 197.298 210.745 204.008 208.085C214.795 203.808 220.35 199.824 222.585 194.767C224.059 191.43 223.952 187.847 222.281 184.676C222.129 184.379 221.961 184.091 221.784 183.816ZM110.137 196.997C109.669 197.815 109.168 198.614 108.635 199.391C107.23 201.448 105.382 203.02 103.237 204.188C99.1369 206.424 93.947 207.205 88.675 207.205C80.346 207.205 71.808 205.256 67.023 204.015C66.787 203.954 37.689 195.735 41.373 188.739C41.993 187.562 43.0129 187.092 44.2979 187.092C49.4849 187.092 58.9299 194.816 62.9889 194.816C63.8959 194.816 64.5359 194.43 64.7969 193.488C66.5269 187.284 38.5039 184.676 40.8639 175.692C41.2799 174.102 42.41 173.456 43.998 173.456C50.856 173.455 66.248 185.516 69.467 185.516C69.714 185.516 69.8909 185.443 69.9869 185.291C70.0009 185.268 70.015 185.246 70.028 185.222C71.539 182.727 70.6719 180.913 60.3209 174.573L59.3269 173.968C47.9359 167.074 39.9409 162.925 44.4879 157.975C45.0109 157.404 45.7529 157.151 46.6539 157.151C47.7219 157.151 49.0149 157.508 50.4389 158.108C56.4549 160.645 64.793 167.564 68.276 170.581C68.8239 171.057 69.3683 171.538 69.9089 172.022C69.9089 172.022 74.319 176.608 76.985 176.608C77.599 176.608 78.1199 176.366 78.4729 175.768C80.364 172.58 60.9099 157.838 59.8129 151.755C59.0689 147.634 60.3349 145.546 62.6749 145.546C63.7879 145.546 65.1459 146.02 66.6449 146.971C71.2949 149.922 80.2729 165.35 83.5599 171.352C84.6619 173.363 86.5429 174.213 88.2379 174.213C91.6009 174.213 94.2299 170.87 88.5459 166.622C80.0029 160.23 83.001 149.782 87.078 149.139C87.252 149.111 87.4279 149.097 87.6029 149.097C91.3109 149.097 92.9459 155.486 92.9459 155.486C92.9459 155.486 97.7399 167.524 105.975 175.753C113.447 183.222 114.491 189.351 110.137 196.997ZM136.766 198.407L136.339 198.458L135.611 198.541C135.228 198.581 134.844 198.619 134.459 198.654L134.084 198.688L133.741 198.717L133.255 198.756L132.718 198.795L132.182 198.83L132.063 198.838C131.923 198.846 131.783 198.855 131.641 198.862L131.462 198.872C131.296 198.881 131.13 198.889 130.962 198.896L130.381 198.921L129.854 198.939L129.502 198.949H129.323C129.213 198.949 129.104 198.955 128.994 198.956H128.82C128.71 198.956 128.601 198.956 128.491 198.961L128.043 198.967H127.418C126.927 198.967 126.437 198.962 125.949 198.952L125.553 198.943C125.44 198.943 125.327 198.938 125.216 198.934L124.796 198.922L124.275 198.902L123.805 198.881L123.684 198.876L123.237 198.853C123.112 198.846 122.989 198.84 122.865 198.831L122.576 198.814C122.213 198.791 121.85 198.766 121.487 198.738L121.107 198.707C120.947 198.695 120.787 198.68 120.628 198.666C120.441 198.65 120.254 198.632 120.067 198.614C119.754 198.585 119.441 198.553 119.128 198.519H119.113C123.683 188.324 121.372 178.802 112.137 169.575C106.08 163.526 102.051 154.594 101.215 152.633C99.5229 146.828 95.045 140.375 87.608 140.375C86.979 140.375 86.351 140.425 85.73 140.523C82.472 141.036 79.624 142.911 77.592 145.733C75.396 143.002 73.262 140.831 71.332 139.605C68.422 137.76 65.5179 136.824 62.6889 136.824C59.1579 136.824 56.0019 138.274 53.8019 140.904L53.7459 140.971C53.7039 140.798 53.6639 140.625 53.6229 140.451L53.6179 140.428C53.1992 138.638 52.8477 136.833 52.5639 135.016C52.5639 135.004 52.5639 134.992 52.5579 134.98C52.5359 134.843 52.5159 134.705 52.4949 134.568C52.4334 134.162 52.3757 133.755 52.3219 133.348C52.2979 133.163 52.2719 132.978 52.2489 132.793L52.1809 132.238C52.1589 132.053 52.1409 131.885 52.1209 131.709L52.115 131.665C52.0351 130.945 51.9651 130.225 51.9049 129.503L51.8829 129.226L51.8479 128.754C51.8379 128.625 51.8279 128.495 51.8209 128.365C51.8209 128.334 51.8159 128.304 51.8149 128.275C51.7895 127.913 51.7678 127.55 51.7499 127.187C51.7399 126.998 51.7299 126.81 51.7219 126.62L51.7019 126.124L51.6969 125.974L51.6809 125.517L51.6709 125.128C51.6709 124.973 51.6629 124.818 51.6609 124.663C51.6579 124.508 51.6539 124.338 51.6529 124.174C51.6509 124.01 51.6529 123.848 51.6479 123.685C51.6439 123.521 51.6479 123.358 51.6479 123.195C51.6479 81.3421 85.5789 47.4111 127.436 47.4111C169.292 47.4111 203.222 81.3411 203.222 123.195V124.174C203.222 124.337 203.217 124.501 203.214 124.663C203.214 124.798 203.208 124.931 203.204 125.068C203.204 125.188 203.199 125.309 203.195 125.425C203.195 125.578 203.186 125.731 203.181 125.884V125.896L203.16 126.427C203.153 126.582 203.147 126.738 203.139 126.893L203.134 127.003L203.107 127.499C203.048 128.562 202.967 129.623 202.866 130.683V130.696C202.849 130.87 202.832 131.044 202.813 131.218L202.768 131.629L202.679 132.433L202.628 132.84L202.565 133.319C202.542 133.493 202.519 133.668 202.493 133.841C202.467 134.036 202.438 134.23 202.409 134.424L202.34 134.883L202.258 135.403C202.23 135.576 202.2 135.748 202.168 135.92C202.135 136.093 202.109 136.265 202.079 136.437C202.019 136.781 201.956 137.125 201.89 137.468C201.789 137.981 201.686 138.493 201.58 139.005L201.47 139.512C201.434 139.681 201.395 139.851 201.357 140.02C199.224 137.947 196.399 136.818 193.284 136.818C190.457 136.818 187.55 137.753 184.641 139.598C182.711 140.824 180.578 142.996 178.381 145.726C176.346 142.904 173.498 141.029 170.242 140.516C169.621 140.418 168.993 140.368 168.364 140.368C160.925 140.368 156.45 146.821 154.757 152.626C153.917 154.587 149.887 163.519 143.825 169.577C134.596 178.775 132.268 188.254 136.766 198.407ZM215.007 177.998L214.977 178.087C214.901 178.288 214.813 178.484 214.714 178.674C214.639 178.814 214.558 178.95 214.47 179.082C214.303 179.331 214.12 179.569 213.921 179.793C213.875 179.845 213.831 179.897 213.779 179.948C213.707 180.025 213.634 180.101 213.559 180.175C212.213 181.509 210.161 182.679 207.841 183.752C207.578 183.871 207.311 183.99 207.042 184.11L206.774 184.229C206.595 184.308 206.416 184.386 206.228 184.463C206.049 184.541 205.863 184.619 205.677 184.695L205.119 184.925C203.814 185.462 202.477 185.974 201.173 186.479L200.615 186.696L200.064 186.912C199.697 187.055 199.335 187.198 198.979 187.341L198.448 187.555L197.926 187.768L197.67 187.876C197.499 187.947 197.332 188.018 197.165 188.089C193.328 189.736 190.567 191.411 191.147 193.489C191.163 193.548 191.181 193.604 191.201 193.659C191.253 193.813 191.324 193.958 191.413 194.095C191.465 194.176 191.525 194.253 191.592 194.323C192.274 195.032 193.515 194.92 195.08 194.357C195.3 194.276 195.519 194.192 195.736 194.104L195.872 194.048C196.23 193.896 196.609 193.726 196.996 193.542C197.093 193.496 197.191 193.452 197.289 193.401C199.203 192.465 201.372 191.205 203.524 190.058C204.385 189.593 205.258 189.152 206.142 188.733C208.18 187.774 210.096 187.094 211.636 187.094C212.359 187.094 212.997 187.242 213.529 187.582L213.618 187.641C213.952 187.876 214.232 188.178 214.441 188.528C214.482 188.595 214.522 188.666 214.561 188.739C215.322 190.184 214.685 191.68 213.194 193.147C211.763 194.556 209.537 195.937 207.007 197.215C206.819 197.31 206.631 197.405 206.44 197.498C198.91 201.196 189.049 203.981 188.912 204.016C186.284 204.697 182.526 205.591 178.292 206.26L177.666 206.358L177.563 206.373C177.089 206.445 176.614 206.512 176.138 206.574C175.655 206.639 175.167 206.698 174.676 206.753L174.586 206.763C172.806 206.968 171.019 207.104 169.228 207.169H169.202C168.554 207.192 167.907 207.204 167.259 207.204H166.512C165.524 207.191 164.538 207.146 163.553 207.07C163.53 207.07 163.505 207.07 163.482 207.064C163.129 207.037 162.777 207.004 162.425 206.965C162.06 206.926 161.696 206.882 161.333 206.833C161.094 206.801 160.856 206.765 160.618 206.726C160.376 206.687 160.134 206.647 159.893 206.605L159.564 206.543L159.539 206.538C159.192 206.472 158.847 206.399 158.503 206.319C158.303 206.274 158.104 206.23 157.907 206.176L157.788 206.146C157.69 206.122 157.595 206.096 157.498 206.07L157.445 206.056L157.137 205.966C157.025 205.935 156.913 205.901 156.801 205.868L156.762 205.857L156.471 205.768C156.361 205.734 156.251 205.698 156.142 205.662L155.874 205.573L155.677 205.504C155.487 205.437 155.298 205.368 155.111 205.296L154.933 205.226L154.786 205.168C154.502 205.054 154.22 204.935 153.941 204.81L153.756 204.72L153.725 204.706C153.659 204.675 153.594 204.644 153.528 204.617C153.399 204.555 153.271 204.491 153.144 204.426L153.105 204.407L152.921 204.31C152.594 204.139 152.274 203.957 151.96 203.764L151.788 203.658C151.702 203.605 151.616 203.55 151.532 203.494L151.308 203.346L151.067 203.18L150.923 203.077C150.771 202.969 150.622 202.857 150.476 202.742L150.243 202.563C150.15 202.488 150.058 202.412 149.967 202.335C149.89 202.272 149.815 202.206 149.74 202.14L149.734 202.135C149.653 202.064 149.574 201.993 149.495 201.92C149.417 201.849 149.339 201.777 149.263 201.704L149.254 201.695C149.174 201.619 149.096 201.542 149.019 201.463C148.942 201.385 148.863 201.307 148.788 201.227C148.713 201.148 148.636 201.067 148.562 200.984C148.488 200.902 148.42 200.827 148.35 200.746L148.327 200.719C148.259 200.641 148.192 200.562 148.126 200.481C147.983 200.31 147.844 200.135 147.71 199.956C147.575 199.776 147.443 199.592 147.314 199.405L147.191 199.221C147.027 198.981 146.867 198.739 146.712 198.493C146.596 198.316 146.483 198.138 146.373 197.957C146.302 197.844 146.234 197.73 146.166 197.618L146.138 197.572C146.073 197.462 146.009 197.354 145.947 197.245C145.911 197.186 145.877 197.127 145.845 197.066C145.812 197.004 145.774 196.941 145.739 196.878L145.682 196.779L145.647 196.715C145.58 196.595 145.514 196.474 145.45 196.352C145.42 196.298 145.391 196.244 145.36 196.192L145.271 196.019L145.181 195.848C144.956 195.398 144.743 194.942 144.543 194.48L144.472 194.311C144.426 194.198 144.383 194.086 144.337 193.975C144.315 193.921 144.293 193.868 144.274 193.814C144.167 193.537 144.067 193.257 143.975 192.975C143.942 192.874 143.91 192.775 143.88 192.675C143.808 192.448 143.743 192.219 143.685 191.988C143.614 191.719 143.551 191.448 143.498 191.175C143.487 191.12 143.476 191.065 143.467 191.012C143.415 190.745 143.373 190.476 143.34 190.206C143.332 190.153 143.326 190.1 143.32 190.047L143.303 189.885C143.281 189.673 143.264 189.46 143.254 189.247C143.254 189.193 143.249 189.139 143.247 189.087C143.242 188.981 143.24 188.875 143.239 188.769C143.183 184.496 145.345 180.388 149.968 175.767C158.203 167.54 162.997 155.501 162.997 155.501C162.997 155.501 163.126 154.996 163.394 154.269C163.431 154.168 163.47 154.064 163.514 153.955C163.67 153.548 163.846 153.148 164.041 152.758L164.08 152.683C164.246 152.351 164.428 152.027 164.624 151.712C164.67 151.639 164.714 151.567 164.765 151.494C164.912 151.277 165.067 151.065 165.23 150.86C165.319 150.749 165.416 150.639 165.513 150.532C165.552 150.49 165.59 150.448 165.631 150.408C166.108 149.915 166.653 149.513 167.27 149.299L167.348 149.273C167.4 149.256 167.452 149.24 167.505 149.225C167.566 149.209 167.627 149.195 167.69 149.182L167.719 149.176C167.849 149.15 167.981 149.133 168.114 149.124H168.125C168.194 149.124 168.264 149.117 168.335 149.117C168.424 149.117 168.507 149.117 168.594 149.126C168.684 149.134 168.773 149.144 168.863 149.158C169.605 149.276 170.311 149.718 170.919 150.4C171.15 150.66 171.358 150.94 171.54 151.236C171.66 151.428 171.773 151.631 171.88 151.845C171.923 151.934 171.964 152.016 172.004 152.104C172.108 152.33 172.202 152.56 172.284 152.795C172.479 153.345 172.626 153.911 172.723 154.487C172.807 154.992 172.857 155.502 172.873 156.013C172.881 156.286 172.881 156.563 172.873 156.842C172.819 158.14 172.553 159.421 172.086 160.634C172.044 160.745 171.997 160.857 171.952 160.969C171.86 161.195 171.759 161.417 171.65 161.634C171.569 161.799 171.484 161.965 171.392 162.13C171.332 162.24 171.269 162.35 171.206 162.46C171.045 162.734 170.871 163.006 170.684 163.277L170.571 163.439C170.129 164.055 169.637 164.633 169.099 165.167C168.569 165.698 168.001 166.189 167.4 166.637C166.798 167.083 166.233 167.577 165.711 168.114C164.208 169.691 163.858 171.083 164.196 172.138C164.25 172.304 164.321 172.465 164.407 172.617C164.508 172.791 164.628 172.951 164.764 173.097L164.817 173.152L164.871 173.206C164.925 173.258 164.982 173.309 165.043 173.359L165.103 173.407C165.248 173.519 165.402 173.619 165.563 173.707C165.61 173.732 165.652 173.757 165.705 173.781C165.879 173.866 166.058 173.939 166.242 173.998C166.293 174.015 166.344 174.03 166.396 174.046L166.461 174.063L166.551 174.087L166.628 174.106L166.712 174.124L166.795 174.141L166.874 174.154C166.932 174.164 166.992 174.174 167.052 174.181L167.109 174.19L167.213 174.2L167.277 174.207L167.382 174.214H167.444L167.554 174.22H167.9L167.999 174.214L168.113 174.207L168.252 174.194L168.382 174.179C168.412 174.179 168.442 174.171 168.472 174.165C168.872 174.107 169.264 174.001 169.639 173.849L169.798 173.782C169.887 173.743 169.977 173.702 170.059 173.658C170.235 173.57 170.406 173.47 170.57 173.361C170.799 173.211 171.015 173.043 171.217 172.858C171.265 172.815 171.312 172.769 171.358 172.725C171.381 172.703 171.403 172.682 171.425 172.658C171.469 172.613 171.514 172.569 171.558 172.52C171.878 172.168 172.155 171.78 172.383 171.363C174.34 167.804 176.391 164.298 178.534 160.849L178.828 160.378L179.125 159.907C179.273 159.668 179.423 159.433 179.572 159.199L179.722 158.965C180.22 158.185 180.726 157.41 181.241 156.641L181.546 156.185C182.158 155.278 182.768 154.396 183.373 153.558L183.674 153.143C184.332 152.236 185.017 151.348 185.728 150.482L186.01 150.144C186.057 150.088 186.1 150.032 186.151 149.978C186.244 149.868 186.337 149.761 186.428 149.657C186.474 149.604 186.517 149.552 186.566 149.5L186.834 149.198L186.968 149.051C187.103 148.906 187.235 148.767 187.365 148.634C187.455 148.544 187.538 148.455 187.624 148.371C188.131 147.853 188.69 147.388 189.293 146.985L189.433 146.895C189.567 146.805 189.706 146.721 189.848 146.645C192.212 145.303 194.169 145.204 195.296 146.331C195.978 147.013 196.356 148.144 196.335 149.718C196.335 149.787 196.335 149.857 196.33 149.929V150.006C196.33 150.078 196.324 150.15 196.318 150.223C196.318 150.313 196.308 150.402 196.299 150.492C196.29 150.581 196.285 150.649 196.276 150.729C196.276 150.751 196.272 150.774 196.268 150.798C196.262 150.867 196.253 150.938 196.243 151.009C196.243 151.03 196.243 151.052 196.235 151.074C196.224 151.169 196.21 151.263 196.194 151.357C196.183 151.447 196.168 151.531 196.152 151.619L196.126 151.768C196.1 151.91 196.067 152.05 196.026 152.188C195.948 152.447 195.854 152.7 195.743 152.946C195.588 153.284 195.417 153.613 195.229 153.933C195.125 154.111 195.018 154.286 194.907 154.459C194.793 154.638 194.673 154.819 194.549 155.002C194.233 155.454 193.905 155.897 193.564 156.33L193.408 156.527C192.852 157.22 192.278 157.899 191.686 158.562L191.499 158.772C191.247 159.053 190.991 159.336 190.729 159.62L190.532 159.834C190.401 159.977 190.264 160.12 190.132 160.264C190.001 160.407 189.864 160.552 189.726 160.697L189.315 161.13L188.898 161.566L188.478 162.002C188.196 162.294 187.913 162.586 187.628 162.878C183.573 167.037 179.301 171.182 177.855 173.766C177.758 173.934 177.671 174.108 177.593 174.285C177.387 174.755 177.301 175.157 177.36 175.482C177.379 175.589 177.416 175.691 177.471 175.785C177.552 175.926 177.651 176.056 177.766 176.172C177.819 176.224 177.875 176.272 177.934 176.316C178.232 176.528 178.591 176.637 178.957 176.627H179.071L179.188 176.618L179.305 176.605L179.402 176.591C179.415 176.589 179.429 176.587 179.442 176.583L179.531 176.566L179.554 176.561L179.653 176.54L179.688 176.531C179.723 176.522 179.757 176.513 179.792 176.503C179.827 176.493 179.875 176.48 179.917 176.466C180.093 176.413 180.265 176.35 180.434 176.278C180.523 176.242 180.61 176.203 180.696 176.161C180.741 176.141 180.786 176.12 180.828 176.098L180.962 176.032C181.282 175.866 181.594 175.685 181.898 175.491L182.031 175.401C182.076 175.373 182.121 175.344 182.164 175.312L182.297 175.223L182.368 175.174L182.56 175.039C182.739 174.916 182.906 174.789 183.075 174.66L183.09 174.648L183.359 174.44C183.726 174.15 184.074 173.858 184.39 173.583L184.6 173.399L184.619 173.381L184.729 173.284C184.987 173.052 185.217 172.836 185.408 172.658L185.487 172.581C185.556 172.516 185.619 172.455 185.676 172.403L185.788 172.292L185.828 172.253L185.839 172.242L185.956 172.125L186.03 172.048L186.039 172.041L186.074 172.009L186.118 171.969L186.132 171.956L186.169 171.922L186.373 171.743L186.487 171.641C186.548 171.588 186.607 171.534 186.666 171.479L186.802 171.358C186.827 171.338 186.851 171.316 186.876 171.294L187.019 171.169L187.229 170.984L187.341 170.887C187.776 170.509 188.305 170.052 188.913 169.537L189.162 169.326L189.573 168.981L189.994 168.63C190.544 168.173 191.136 167.688 191.762 167.185L192.173 166.855C192.523 166.576 192.882 166.292 193.246 166.006C193.393 165.891 193.542 165.776 193.694 165.662C194.066 165.373 194.44 165.086 194.817 164.803C195.675 164.155 196.56 163.506 197.456 162.874L197.84 162.606C198.109 162.421 198.377 162.235 198.645 162.054L198.888 161.89C199.367 161.565 199.853 161.248 200.343 160.939L200.586 160.786L200.827 160.636C201.069 160.486 201.309 160.339 201.548 160.196L201.787 160.053L202.265 159.775L202.734 159.506L202.829 159.454L203.2 159.25C203.355 159.166 203.509 159.085 203.663 159.006L203.892 158.888L204.115 158.776C204.193 158.739 204.27 158.7 204.346 158.663C204.848 158.415 205.36 158.187 205.88 157.979C206.021 157.919 206.161 157.865 206.3 157.818L206.71 157.674C206.833 157.633 206.953 157.594 207.068 157.559L207.108 157.547C207.17 157.527 207.232 157.509 207.293 157.493L207.311 157.488C207.439 157.451 207.566 157.419 207.691 157.389H207.7C208.054 157.304 208.414 157.243 208.777 157.206C208.944 157.189 209.111 157.18 209.279 157.181H209.363C209.475 157.181 209.583 157.188 209.69 157.199C209.739 157.199 209.788 157.209 209.836 157.215H209.856C209.904 157.221 209.952 157.228 210 157.239C210.047 157.248 210.095 157.256 210.141 157.267H210.156C210.203 157.277 210.245 157.289 210.294 157.303C210.548 157.374 210.79 157.484 211.012 157.628C211.121 157.699 211.223 157.779 211.317 157.868L211.344 157.894C211.362 157.91 211.379 157.927 211.395 157.944L211.444 157.997C211.846 158.418 212.178 158.901 212.428 159.427L212.466 159.517C212.551 159.717 212.618 159.924 212.666 160.135C212.808 160.781 212.753 161.455 212.508 162.07C212.415 162.318 212.302 162.557 212.169 162.785C211.858 163.309 211.489 163.796 211.07 164.237L210.981 164.332C210.848 164.472 210.71 164.612 210.565 164.752C210.501 164.815 210.434 164.877 210.367 164.94L210.162 165.129L210.055 165.224C209.797 165.454 209.532 165.677 209.263 165.893C209.1 166.025 208.936 166.154 208.77 166.281C208.184 166.729 207.587 167.161 206.979 167.578C206.612 167.83 206.242 168.077 205.869 168.321C204.95 168.924 204.021 169.512 203.083 170.084C201.115 171.294 198.934 172.588 196.609 173.995L196.007 174.36C195.348 174.762 194.726 175.146 194.14 175.512L193.845 175.697L193.287 176.055C192.917 176.292 192.548 176.531 192.179 176.77L191.882 176.966C191.737 177.06 191.593 177.156 191.449 177.252L191.308 177.342L190.876 177.633L190.647 177.79L190.379 177.976L190.13 178.149C189.713 178.444 189.325 178.725 188.968 178.992L188.834 179.094C188.624 179.253 188.416 179.415 188.211 179.58C187.902 179.829 187.62 180.067 187.367 180.296L187.243 180.409C187.172 180.474 187.102 180.539 187.035 180.603C186.989 180.648 186.946 180.693 186.898 180.736L186.834 180.8C186.691 180.944 186.551 181.091 186.416 181.242L186.35 181.318C186.203 181.488 186.075 181.651 185.963 181.81L185.913 181.881C185.825 182.009 185.744 182.141 185.671 182.277C185.652 182.311 185.635 182.345 185.618 182.379L185.569 182.481L185.536 182.555L185.515 182.605L185.498 182.65L185.475 182.711C185.413 182.88 185.37 183.056 185.345 183.234L185.337 183.296L185.331 183.354V183.669C185.331 183.695 185.331 183.721 185.338 183.749L185.343 183.797C185.343 183.823 185.349 183.848 185.353 183.876C185.357 183.902 185.364 183.949 185.372 183.986V183.991C185.379 184.026 185.386 184.06 185.395 184.095C185.404 184.13 185.413 184.17 185.424 184.206C185.443 184.277 185.467 184.347 185.492 184.417C185.508 184.459 185.523 184.5 185.54 184.541C185.54 184.549 185.546 184.558 185.55 184.566L185.586 184.647L185.636 184.758C185.69 184.873 185.749 184.985 185.813 185.094L185.879 185.208L185.947 185.322C185.959 185.341 185.973 185.359 185.988 185.376L186.01 185.399L186.035 185.422L186.061 185.442C186.099 185.469 186.14 185.49 186.183 185.505C186.206 185.513 186.23 185.519 186.254 185.525C186.831 185.655 188.017 185.178 189.593 184.346C189.682 184.298 189.78 184.248 189.875 184.196L190.355 183.934L190.589 183.804C190.756 183.715 190.926 183.614 191.1 183.515L191.417 183.336C193.5 182.137 195.988 180.597 198.56 179.093C198.801 178.952 199.043 178.811 199.285 178.672L199.771 178.361C200.335 178.038 200.902 177.719 201.471 177.404C202.188 177.01 202.91 176.626 203.639 176.254L204.115 176.013C204.431 175.857 204.744 175.705 205.053 175.557C205.651 175.273 206.256 175.003 206.868 174.748L207.203 174.612L207.243 174.596C209.018 173.893 210.627 173.459 211.929 173.459C212.21 173.456 212.492 173.48 212.769 173.528H212.778C212.867 173.544 212.948 173.562 213.031 173.582H213.046C213.259 173.636 213.466 173.713 213.662 173.812C213.937 173.954 214.184 174.143 214.393 174.371C214.489 174.477 214.574 174.592 214.649 174.714C214.789 174.929 214.899 175.162 214.978 175.406C215.01 175.501 215.038 175.594 215.067 175.693C215.278 176.45 215.257 177.253 215.007 177.998Z" fill="#FF9D00"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M203.21 123.685V123.194C203.21 81.34 169.292 47.411 127.435 47.411C85.5791 47.411 51.648 81.342 51.648 123.194V123.358C51.646 123.467 51.645 123.576 51.648 123.685C51.6529 123.848 51.6546 124.011 51.653 124.174L51.6581 124.534L51.661 124.663C51.661 124.723 51.6631 124.782 51.6651 124.842C51.6681 124.937 51.67 125.033 51.67 125.128L51.681 125.517L51.697 125.974L51.702 126.124L51.722 126.597V126.62C51.73 126.805 51.7401 126.989 51.7491 127.173L51.75 127.187C51.76 127.375 51.7701 127.564 51.7821 127.753C51.7921 127.927 51.802 128.101 51.815 128.275L51.8171 128.306C51.8258 128.455 51.8358 128.605 51.847 128.754L51.85 128.794L51.883 129.226L51.8861 129.254C51.8921 129.338 51.898 129.422 51.906 129.503C51.9658 130.224 52.0355 130.945 52.1151 131.664L52.12 131.709L52.181 132.238L52.2491 132.793L52.299 133.17L52.322 133.347C52.3753 133.755 52.433 134.162 52.495 134.568L52.4991 134.595L52.558 134.979C52.8435 136.808 53.1971 138.626 53.618 140.429L53.6231 140.451L53.655 140.586L53.746 140.971L53.802 140.904C56.002 138.274 59.158 136.824 62.689 136.824C65.519 136.824 68.4221 137.76 71.3321 139.605C73.2621 140.831 75.3961 143.002 77.5921 145.733C79.6241 142.911 82.4721 141.035 85.7301 140.523C86.3513 140.425 86.9792 140.376 87.6081 140.375C95.0441 140.375 99.523 146.828 101.215 152.633C102.051 154.594 106.08 163.526 112.156 169.568C121.392 178.795 123.703 188.316 119.132 198.511H119.148C119.459 198.546 119.772 198.578 120.087 198.607C120.274 198.625 120.46 198.643 120.648 198.659L120.714 198.665L121.127 198.7L121.507 198.73C121.869 198.758 122.232 198.784 122.596 198.807L122.885 198.824L123.114 198.838L123.256 198.846L123.703 198.869L123.825 198.874L124.294 198.895L124.816 198.915L125.235 198.927L125.305 198.929C125.394 198.933 125.483 198.936 125.572 198.936L125.668 198.939C126.258 198.953 126.847 198.96 127.437 198.959H128.063L128.51 198.954C128.62 198.949 128.729 198.949 128.84 198.949H129.014L129.165 198.945C129.224 198.943 129.283 198.941 129.343 198.941H129.522L129.873 198.932L130.401 198.914L130.982 198.888C131.15 198.882 131.316 198.873 131.482 198.865L131.661 198.854L131.927 198.84L132.083 198.831L132.201 198.823L132.738 198.788L133.274 198.749L133.761 198.71L134.103 198.681L134.479 198.647C135.107 198.591 135.733 198.525 136.359 198.45L136.786 198.399C132.287 188.247 134.616 178.767 143.813 169.577C149.876 163.519 153.905 154.587 154.745 152.625C156.438 146.821 160.914 140.368 168.352 140.368C168.981 140.368 169.61 140.418 170.231 140.516C173.486 141.028 176.334 142.904 178.369 145.726C180.566 142.996 182.699 140.823 184.63 139.597C187.539 137.753 190.445 136.817 193.272 136.817C196.388 136.817 199.212 137.947 201.345 140.02C201.384 139.851 201.422 139.682 201.459 139.512L201.568 139.006C201.607 138.821 201.646 138.636 201.683 138.451C201.749 138.124 201.815 137.797 201.878 137.467C201.944 137.125 202.007 136.781 202.067 136.437L202.098 136.251C202.117 136.141 202.135 136.031 202.156 135.92C202.19 135.748 202.218 135.576 202.246 135.402L202.257 135.336L202.328 134.883L202.398 134.424V134.42C202.449 134.081 202.497 133.742 202.542 133.403L202.553 133.319L202.616 132.841L202.667 132.433L202.757 131.629L202.792 131.306L202.801 131.218C202.82 131.044 202.838 130.87 202.854 130.696V130.682C202.867 130.544 202.881 130.405 202.893 130.266C202.964 129.478 203.024 128.686 203.072 127.891C203.081 127.761 203.088 127.63 203.096 127.499V127.493L203.122 127.002L203.128 126.892C203.144 126.56 203.158 126.228 203.169 125.896V125.884L203.174 125.754C203.179 125.645 203.183 125.535 203.183 125.425L203.185 125.381C203.189 125.278 203.193 125.172 203.193 125.067L203.196 124.977C203.199 124.872 203.202 124.768 203.202 124.663L203.204 124.574C203.207 124.441 203.21 124.307 203.21 124.174V123.685ZM108.638 199.391C114.64 190.59 114.214 183.984 105.98 175.754C97.7441 167.523 92.951 155.487 92.951 155.487C92.951 155.487 91.1621 148.496 87.0821 149.138C83.0021 149.78 80.0091 160.227 88.5521 166.622C97.0941 173.017 86.8521 177.353 83.5641 171.352C80.2761 165.35 71.299 149.923 66.645 146.972C61.991 144.021 58.718 145.675 59.815 151.757C60.36 154.776 65.4281 159.929 70.1631 164.743C74.9671 169.627 79.428 174.163 78.474 175.768C76.581 178.955 69.9141 172.023 69.9141 172.023C69.9141 172.023 49.038 153.025 44.494 157.976C40.304 162.539 46.765 166.418 56.7211 172.397C57.5671 172.905 58.4391 173.429 59.3321 173.969C70.7231 180.865 71.609 182.684 69.992 185.293C69.395 186.257 65.582 183.968 60.892 181.153C52.897 176.352 42.3551 170.023 40.8661 175.688C39.5781 180.591 47.334 183.595 54.368 186.32C60.228 188.59 65.5881 190.666 64.7991 193.484C63.9821 196.406 59.5531 193.969 54.7121 191.305C49.2771 188.314 43.3221 185.038 41.3731 188.735C37.6901 195.725 66.7831 203.954 67.0231 204.015C76.4231 206.453 100.295 211.619 108.638 199.391ZM147.303 199.391C141.301 190.59 141.727 183.984 149.962 175.754C158.197 167.523 162.99 155.487 162.99 155.487C162.99 155.487 164.779 148.496 168.859 149.138C172.939 149.78 175.932 160.227 167.39 166.622C158.847 173.017 169.089 177.353 172.377 171.352C175.666 165.35 184.637 149.923 189.291 146.972C193.945 144.021 197.22 145.675 196.122 151.757C195.578 154.776 190.509 159.929 185.774 164.744C180.97 169.628 176.509 174.163 177.462 175.768C179.355 178.955 186.027 172.019 186.027 172.019C186.027 172.019 206.902 153.022 211.448 157.973C215.637 162.535 209.176 166.415 199.219 172.394C198.348 172.917 197.478 173.441 196.609 173.966C185.218 180.862 184.332 182.681 185.948 185.289C186.546 186.254 190.359 183.964 195.048 181.149C203.044 176.349 213.586 170.019 215.075 175.685C216.364 180.588 208.607 183.592 201.573 186.317C195.713 188.587 190.353 190.663 191.141 193.481C191.957 196.402 196.385 193.965 201.225 191.301C206.66 188.31 212.616 185.032 214.564 188.732C218.248 195.726 189.15 203.947 188.915 204.007C179.515 206.453 155.643 211.619 147.303 199.391Z" fill="#FFD21E"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M152.047 102.567C153.229 102.985 154.108 104.257 154.944 105.468C156.074 107.104 157.126 108.627 158.74 107.769C160.644 106.756 162.205 105.202 163.225 103.302C164.246 101.402 164.681 99.2427 164.475 97.096C164.321 95.4908 163.813 93.9398 162.987 92.5548C162.161 91.1697 161.038 89.985 159.7 89.0862C158.361 88.1874 156.839 87.5968 155.245 87.3569C153.65 87.117 152.022 87.2339 150.478 87.699C148.934 88.1639 147.513 88.9653 146.316 90.0455C145.119 91.1257 144.176 92.4578 143.556 93.946C142.936 95.4342 142.653 97.0415 142.728 98.652C142.804 100.263 143.235 101.836 143.992 103.26C144.74 104.667 146.4 104.003 148.152 103.302C149.525 102.753 150.956 102.181 152.047 102.567ZM100.672 102.567C99.49 102.985 98.611 104.258 97.775 105.468C96.645 107.105 95.592 108.627 93.979 107.769C91.5845 106.501 89.7482 104.386 88.8278 101.838C87.9075 99.2895 87.9692 96.4896 89.0008 93.9841C90.0324 91.4786 91.9601 89.4471 94.408 88.2855C96.856 87.1239 99.6488 86.9156 102.242 87.701C104.307 88.3228 106.141 89.5427 107.513 91.2065C108.885 92.8704 109.732 94.9035 109.949 97.049C110.165 99.1945 109.74 101.356 108.728 103.26C107.979 104.667 106.319 104.003 104.567 103.303C103.193 102.753 101.764 102.181 100.672 102.567ZM144.099 149.318C152.242 142.903 155.233 132.429 155.233 125.977C155.233 120.877 151.802 122.482 146.309 125.202L145.999 125.355C140.957 127.852 134.245 131.177 126.877 131.177C119.508 131.177 112.796 127.852 107.755 125.354C102.084 122.545 98.527 120.783 98.527 125.978C98.527 132.634 101.709 143.563 110.443 149.912C111.596 147.573 113.219 145.497 115.211 143.813C117.202 142.129 119.52 140.874 122.018 140.126C122.89 139.866 123.788 141.367 124.707 142.904C125.594 144.386 126.501 145.902 127.423 145.902C128.406 145.902 129.371 144.408 130.314 142.95C131.299 141.425 132.26 139.94 133.189 140.237C137.864 141.738 141.775 144.993 144.099 149.318Z" fill="#32343D"/>
<path d="M144.097 149.317C139.856 152.659 134.219 154.9 126.878 154.9C119.981 154.9 114.587 152.922 110.443 149.911C111.596 147.572 113.219 145.495 115.211 143.812C117.202 142.128 119.52 140.873 122.018 140.125C123.73 139.614 125.545 145.901 127.423 145.901C129.433 145.901 131.37 139.655 133.189 140.236C137.863 141.738 141.773 144.993 144.097 149.317Z" fill="#FF323D"/>
<path fill-rule="evenodd" clip-rule="evenodd" d="M81.2 111.64C80.2312 112.288 79.1173 112.687 77.9572 112.801C76.7971 112.916 75.6267 112.742 74.55 112.295C73.6893 111.94 72.9072 111.418 72.2488 110.759C71.5903 110.101 71.0684 109.319 70.713 108.458C70.267 107.381 70.0935 106.211 70.2082 105.051C70.3228 103.891 70.7219 102.777 71.37 101.808C72.1488 100.642 73.2558 99.7333 74.5512 99.1967C75.8466 98.6601 77.272 98.5197 78.6471 98.7935C80.0223 99.0672 81.2853 99.7427 82.2764 100.734C83.2675 101.726 83.9422 102.99 84.215 104.365C84.4883 105.74 84.3477 107.165 83.8113 108.46C83.2748 109.755 82.3654 110.861 81.2 111.64ZM182.613 111.64C181.644 112.288 180.53 112.687 179.37 112.801C178.209 112.916 177.039 112.742 175.962 112.295C175.101 111.939 174.319 111.418 173.661 110.759C173.003 110.101 172.481 109.319 172.125 108.458C171.68 107.381 171.507 106.211 171.621 105.051C171.736 103.891 172.135 102.777 172.782 101.808C173.364 100.936 174.133 100.205 175.032 99.6658C175.931 99.1269 176.938 98.7942 177.981 98.6917C179.025 98.5891 180.078 98.7193 181.064 99.0728C182.051 99.4264 182.947 99.9944 183.688 100.736C184.68 101.727 185.355 102.99 185.628 104.365C185.902 105.74 185.761 107.165 185.224 108.46C184.687 109.755 183.779 110.861 182.613 111.64Z" fill="#FFAD03"/>
</svg>"></image></symbol>
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="839.0404613632668" height="493.25344494716023" fill="#ffffff"></rect><g stroke-linecap="round"><g transform="translate(117.90721850878299 313.62549569994303) rotate(0 69.03319262926061 -39.950595570389396)"><path d="M-2.53 -0.34 C27.63 -20.77, 63.25 -40.16, 140.6 -78.32 M0.17 -0.83 C40.99 -22.44, 80.34 -44.55, 139.33 -79.56" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(117.90721850878299 313.62549569994303) rotate(0 69.03319262926061 -39.950595570389396)"><path d="M117.67 -56.79 C121.43 -62.52, 130.46 -69.33, 141.17 -78.19 M120.37 -57.28 C126.93 -64.42, 130.94 -69.82, 139.9 -79.43" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(117.90721850878299 313.62549569994303) rotate(0 69.03319262926061 -39.950595570389396)"><path d="M107.29 -74.49 C113.43 -76.47, 124.76 -79.34, 141.17 -78.19 M109.99 -74.98 C119.95 -76.7, 127.03 -76.87, 139.9 -79.43" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(234.91565777073265 282.75190136929905) rotate(0 48.11000061035156 12.5)"><text x="48.11000061035156" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Run</text></g><g transform="translate(359.60564495334984 425.75190136929905) rotate(0 85.42001342773438 12.5)"><text x="85.42001342773438" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Artifact Registry</text></g><g transform="translate(69.9956519723928 211.75190136929905) rotate(0 77.0300064086914 25)"><text x="77.0300064086914" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">text generation</text><text x="77.0300064086914" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">request</text></g><g stroke-linecap="round" transform="translate(711.8993204715994 205.98307474797002) rotate(0 4.481876077403967 16.970189836620534)"><path d="M-0.46 0.76 L10.7 0.4 L8.71 33.59 L-1.85 32.1" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.42 0.23 C2.88 0.37, 7.15 0.53, 9.6 -0.75 M-0.4 0.08 C2.12 -0.4, 3.83 -0.44, 9.22 -0.42 M10.23 1.35 C8.94 8.97, 7.87 20.11, 7.18 31.95 M9.14 -0.58 C8.98 10.99, 7.88 20.1, 9.3 33.99 M9.8 34.71 C6.86 34.26, 5.15 33.91, -0.35 33.55 M9.41 34.1 C6.16 33.77, 2.46 34.3, -0.43 33.83 M1.5 32.19 C-0.95 23.43, -0.29 15.34, 0.06 1.08 M0.46 32.97 C0.23 20.8, -0.35 7.41, -0.27 -0.79" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(795.7133938847883 205.98307474797002) rotate(0 4.481876077403967 16.970189836620534)"><path d="M1.73 0.4 L8.71 -0.35 L7.11 32.1 L-0.08 35.39" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.55 0.35 C2.81 0.49, 5.67 -0.78, 8.12 0.16 M0.28 -0.37 C3.14 -0.43, 6.23 -0.44, 8.99 -0.01 M8.95 -1.45 C8.1 8.8, 7.4 17.07, 8.87 33.06 M9.13 0.96 C8.09 10.85, 9.35 21.69, 8.08 34.79 M8.76 34.26 C6.23 33.99, 3.19 33.63, 0.37 33.25 M9.22 33.77 C5.85 34.33, 3.08 33.86, -0.18 33.75 M-1.09 32.29 C-0.69 20.09, -0.19 9.11, 1.81 -0.26 M0.18 34.05 C-0.55 24.42, -0.43 14.17, -0.23 0.38" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(722.1973313571339 205.98307474797002) rotate(0 35.46513132049154 16.970189836620534)"><path d="M-0.26 -0.35 L69.08 -1.85 L70.85 35.39 L1.92 35.34" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.67 1.15 C24.56 -1.95, 44.39 0.08, 71.59 -1.79 M0.33 -0.92 C23.14 -0.36, 45.23 0.56, 70.74 0.63 M69.85 -0.72 C69.15 10.49, 70.84 24.08, 71.3 34.28 M70 0.04 C71.32 8.28, 70.1 17.3, 70.96 34.88 M70.89 33.87 C42.79 33.32, 17.03 32.66, 0.09 35.94 M70.07 34.73 C46.18 33.42, 22.93 33.25, 0.82 34.69 M-0.43 33.04 C0.25 27.81, 1.99 19.25, -0.41 0.92 M-0.4 33.9 C-0.33 26.26, -0.29 20.54, 0.87 0.2" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(730.9841010043292 219.23316771731243) rotate(0 12.986178101259839 2.6436329048705147)"><path d="M-1.85 -1.85 L25.89 1.44 L27.89 6.68 L-1.6 6.04" stroke="none" stroke-width="0" fill="white"></path><path d="M1.42 -1.68 C6.91 0.21, 18.26 -1.94, 26.34 1.23 M0.56 -0.94 C5.74 0.22, 11.14 0.87, 26.65 -0.01 M25.5 -0.53 C25.92 0.97, 26.04 2.5, 25.67 5.38 M26.06 0.01 C25.69 2.32, 25.93 4.44, 26.2 5.23 M25.2 4.41 C18.08 3.74, 8.62 7.27, 0.71 6.45 M25.02 5.04 C18.78 5.07, 13.19 6.24, -0.87 4.74 M0.02 5.57 C0.49 4.07, -0.1 3.23, -0.51 0.1 M-0.07 5.08 C-0.04 3.74, 0.25 2.05, -0.03 -0.05" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(772.2626919950053 216.70893449461119) rotate(0 6.851143755162184 6.329145434808083)"><path d="M-0.08 1.44 L15.62 1.4 L12.1 13.41 L0.51 14.26" stroke="none" stroke-width="0" fill="white"></path><path d="M-1.29 0.24 C5.35 -1.11, 10.05 0.96, 12.58 0.45 M0.05 -0.01 C2.72 0.56, 6.16 0.12, 13.2 -0.37 M13.65 -0.56 C13.83 3.56, 12.86 6.89, 14.92 11.48 M13.14 0.53 C13.76 4.44, 14.29 7.54, 13.93 12.64 M14.27 11.61 C9.7 13.97, 6.06 13.39, -0.52 11.48 M13.43 12.37 C9.07 13.14, 2.72 12.25, -0.57 12.51 M1.14 12.49 C-0.26 10.01, -1.23 6.43, 0.14 -0.5 M-0.15 12.9 C0.58 9.03, -0.05 5.04, -0.59 -0.58" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(713.0037675316653 247.55302482767866) rotate(0 4.481876077403967 16.970189836620534)"><path d="M1.92 1.4 L7.36 0.75 L9.47 35.54 L-0.22 35.84" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.3 -0.8 C2.1 0.54, 3.14 0.28, 8.14 0.5 M-0.09 0.28 C2.15 0, 3.36 -0.24, 8.8 -0.4 M9.34 0.34 C7.8 7.14, 10.88 11.75, 9.04 34.6 M8.99 0.94 C9.52 10.13, 9.02 20.69, 8.93 33.55 M9.01 34.83 C6.99 34.39, 4.03 33.1, 0.71 33.09 M9.33 34.28 C6.1 33.66, 3.66 33.81, -0.2 33.95 M-0.41 34.86 C-2.25 22.29, -0.09 9.12, -0.07 -0.54 M0.87 34.14 C-0.05 26.28, -0.85 18.04, -0.04 0.72" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(796.8178409448528 247.55302482767866) rotate(0 4.481876077403967 16.970189836620534)"><path d="M-1.6 0.75 L9.47 1.6 L8.74 35.84 L-0.36 33.92" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M0.16 0.55 C2.12 0.38, 4.87 0.58, 8.12 0.06 M0.3 0 C2.34 -0.3, 5.18 -0.46, 8.52 -0.02 M7.81 0.34 C10.96 6.82, 9.1 18.02, 9.07 32.17 M9.82 -0.23 C9.33 13.03, 8.94 25.71, 8.53 34.35 M9.28 34.46 C6.62 33.26, 5.67 33.18, -0.22 33.59 M8.57 33.7 C6.28 33.91, 4.14 34.02, 0.24 34.35 M-1.94 34.31 C0.29 23.42, 0 13.94, -1.59 -0.46 M-0.13 33.76 C-1.22 21.55, -0.34 11.73, 0.96 0.7" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(723.3017784171998 247.55302482767866) rotate(0 35.46513132049154 16.970189836620534)"><path d="M0.51 1.6 L70.71 1.9 L70.57 33.92 L-1.1 32.95" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-1.64 0.66 C13.1 0.69, 27.99 -0.3, 70.89 -0.38 M-0.73 -0.54 C25.41 -0.89, 50.55 -0.04, 70.49 0.19 M72.86 -1.86 C70.81 11.43, 70.84 19.76, 72.62 33.99 M71.29 -0.02 C71.19 12.97, 70.78 27.13, 70.16 33.99 M70.17 32.23 C44.16 32.45, 13.73 33.57, -0.85 35.58 M70.1 33.73 C43.87 33.58, 18.25 34.46, -0.13 33.74 M0.22 33.15 C0.26 21.66, -1.26 9.99, 0.76 1.73 M-0.93 33.02 C0 23.8, 1 12.91, -0.8 0.37" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(732.0885480643956 260.80311779702197) rotate(0 12.986178101259839 2.6436329048705147)"><path d="M-0.22 1.9 L25.61 -0.02 L24.87 4.3 L-0.73 4.81" stroke="none" stroke-width="0" fill="white"></path><path d="M-1.84 1.12 C7.51 0.05, 18.75 -0.47, 27.24 1.35 M-0.36 -0.89 C6.78 0.1, 15.11 0.33, 26.14 -0.58 M25.99 0.18 C26.05 1.21, 26.47 3.36, 26.47 5.74 M25.96 -0.1 C25.88 1.57, 25.79 2.94, 26.24 5.38 M27.55 3.39 C16.18 4.28, 6.53 6.7, 1.5 3.54 M25.52 5.32 C20.14 6.13, 13.1 5.03, 0.46 4.32 M-0.02 5.14 C-0.43 3.48, 0.19 2.38, 0.11 -0.07 M-0.01 5.48 C0.3 3.98, -0.16 2.4, 0.07 0.21" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(773.3671390550708 258.2788845743198) rotate(0 6.851143755162184 6.329145434808083)"><path d="M-0.36 -0.02 L12.6 -0.99 L12.97 12.18 L0.84 12.57" stroke="none" stroke-width="0" fill="white"></path><path d="M-1.29 0.1 C4.54 -0.34, 10 0.85, 13.69 -1 M-0.68 -0.03 C3.07 0.25, 6.85 -0.27, 13.82 0.66 M13.77 -1.12 C14.78 2.65, 14.89 6.32, 13.41 13.11 M13.43 0.26 C13.21 3.8, 14.33 7.76, 14.07 12.42 M13.37 12.12 C10.18 13.65, 8.86 11.33, -0.75 11.53 M14.07 13.28 C9.8 12.52, 6.39 12, 0.13 12.73 M-1 12.36 C0.48 10.46, 0.26 5.9, -0.22 -1.17 M0.61 13.1 C-0.5 10.27, 0.17 7.9, -0.07 0.6" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(689.6404522079933 287.1843807276614) rotate(0 69.70000457763672 12.5)"><text x="69.70000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Storage</text></g><g stroke-linecap="round" transform="translate(461.18414356686844 202.79538447398818) rotate(0 86 33)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-0.75 5.68 C1.58 5.11, 4.27 2.37, 6.05 1.37 M0.45 6.11 C1.11 4.67, 3.04 3.55, 5.63 1.03 M-3.01 9.05 C1.88 9.48, 9.58 5.25, 11.48 1.96 M0.69 11.96 C4.83 7.62, 5.75 3.76, 9.37 0.41 M-3.06 18.69 C3.94 8.89, 14.26 1.34, 16.69 1.2 M0.27 18.07 C4.1 13.59, 7.05 8.89, 14.15 -0.91 M2.91 22.63 C7.19 13.13, 15.92 1.1, 24.3 -1.07 M-1.03 25.02 C7.51 16.52, 14.2 8.28, 21.99 -0.55 M-0.07 32.19 C4.71 22.75, 12.73 10.86, 24.88 -0.32 M-0.95 30.88 C4.99 26.48, 9.92 18.98, 25.17 -1.04 M-0.93 34.41 C13.9 21.95, 19.58 9.73, 31.69 0.73 M-0.31 36.14 C13.11 23.7, 24.5 8.86, 31.53 -0.87 M-0.33 44.55 C12.43 23.3, 27.62 7.36, 40.63 1.54 M0.7 44.42 C11.91 29.84, 25.16 17.89, 36.39 2.1 M0.4 47.34 C17.39 32.41, 36.64 11.76, 40.52 0.82 M-1.97 47.25 C8.15 38.16, 20.23 23.9, 41.29 -0.86 M0.82 50.73 C16.22 37.98, 22.14 26.08, 44.83 -2.52 M1.84 53.28 C14.4 37.86, 28.84 20.22, 46.28 -0.8 M1.17 62.89 C17.03 39.13, 35.92 20.57, 53.95 3.66 M0.81 60.82 C17.83 42.52, 37.18 21.3, 52.63 1.33 M-3.45 65.19 C13.68 52.85, 23.37 34.01, 54.91 -2.28 M0.82 66.29 C19.31 42.3, 39.58 23.46, 59.08 -0.77 M6.68 62.47 C28.47 41.72, 51.79 13.06, 63.66 1.22 M7.17 66 C25.7 45.17, 42.42 26.5, 64.64 1.76 M11.02 69.83 C29.68 48.32, 42.2 29.62, 68.79 -0.03 M12.24 66.46 C35.67 39.27, 56.55 15.95, 68.77 1.4 M19.55 63.31 C38.04 49.32, 54.04 27.39, 73.8 -3.04 M14.77 66.53 C32.22 48.69, 46.15 32.99, 74.19 -1.23 M19.89 66.17 C38.21 50.74, 50.71 29.88, 80.87 -2.57 M23.46 67.2 C46.02 38.87, 66.13 14.08, 79.09 -0.85 M27.59 65.9 C42.28 47.39, 52.65 31.19, 85.05 -2.17 M27.76 68.12 C48.47 40.69, 70.58 18.26, 83.88 0.95 M29.83 63.19 C54.02 45.98, 75.74 19.19, 90.06 2.83 M34.09 68.08 C46.12 52.99, 55.56 37.65, 91.5 0.21 M35.72 68.95 C56.89 45.64, 64.12 28.43, 94.55 -1.7 M36.61 65.5 C62.02 40.21, 80.23 16.14, 94.07 -0.88 M44 65.33 C57.31 48.45, 71.96 36.52, 99.8 0.36 M41.48 66.95 C65.45 42.08, 86.93 15.68, 101.24 -1.48 M44.69 67.42 C66.97 44.83, 84.12 21.37, 103.99 -3.67 M48.91 68.37 C60.27 54.7, 74.11 41.26, 106.86 -1.63 M54.07 64.56 C74.5 37.79, 99.52 11.11, 109.97 1.75 M52.74 67.87 C73.97 41.47, 96.02 16.29, 113.29 -1.71 M61.74 65.53 C81.85 39.55, 101.15 14.55, 118.86 2.13 M59.94 66.44 C74.24 48.23, 91.85 27.45, 117.45 -1.22 M64.2 64.34 C84.09 50.64, 98.42 27.12, 125.01 -1.8 M64.72 65.19 C83.34 44.71, 105.47 18.52, 122.38 1.98 M72.62 65.22 C83.63 44.71, 106.85 25.49, 127.14 3.16 M68.77 65.9 C92.02 41.46, 111.3 21.85, 128.76 0.43 M75.06 63.63 C86.87 48.86, 98.18 34.96, 129.83 0.42 M76.02 67.48 C89.21 51.13, 101.29 34.27, 132.99 -1.71 M76.24 63.23 C91.55 51.54, 110.2 35.27, 135.34 0.63 M80.89 66.48 C95.57 53.01, 110.12 34.71, 139.48 -0.1 M83.8 64.89 C109.42 40.91, 131.63 15.14, 145.83 -1.37 M87.01 65.58 C96.53 52.83, 108.84 35.46, 143.36 -1.81 M92.02 67.74 C101.14 46.62, 117.72 30.26, 147.13 -1.5 M91.53 66.13 C110.47 47.62, 127.33 24.22, 146.73 -0.72 M92.09 66.09 C113.55 48.44, 125.67 32.63, 150.94 2.53 M95.79 64.58 C108.89 49.98, 119.52 37.18, 153.45 -1.12 M103.87 66.49 C111.53 53.49, 129.48 30.48, 162.66 -3.76 M101.66 65.05 C115.21 46.97, 131.14 31.18, 157.36 -1.11 M106.11 68.69 C120.62 53.87, 134.02 38.29, 167.57 1.34 M106.22 67.79 C122.3 48.23, 135.64 32.52, 165.01 -0.18 M108.21 66.67 C133.46 49.37, 149.78 30.6, 170.61 -3.2 M110.03 65.7 C129.1 46.58, 144.2 28.14, 167.97 1.32 M120.5 69.63 C139.17 40.49, 155.06 21.1, 173.32 5.27 M115.89 64.81 C133.28 49.01, 146.62 28.58, 172.21 0.21 M121.95 63 C131.9 52.14, 141.76 40.22, 173.57 6.19 M121.1 64.79 C133.95 55.07, 145.62 41.55, 174.36 6.96 M126.44 69.4 C146.52 48.85, 167.17 27.16, 175.72 11.6 M128.17 67.46 C142.59 49.69, 158.04 31.85, 172.39 13.09 M134.5 69.69 C141.14 57.5, 158.6 37.7, 171.84 23.35 M133.11 65.28 C146.39 51.48, 159.59 35.22, 175.26 19.85 M135.59 63.94 C152.64 50.47, 165.21 38.24, 171.23 26.22 M140.16 65.83 C144.07 57.67, 153.17 51.43, 173.06 26.84 M139.79 64.45 C155.53 58.46, 162.83 45.5, 171.51 33.23 M142.04 68.36 C153.7 54.28, 161.79 47.05, 172.46 32.81 M148.11 68.72 C155.45 64.62, 158.38 58.21, 169.58 34.84 M150.72 64.25 C156.35 54.78, 165.49 45.52, 172.28 36.41 M152.21 68.49 C163.78 56.99, 165.05 55.19, 171.25 44.77 M153.63 65.51 C157.58 61.97, 163.02 55.82, 173.57 45.42 M160.67 62.7 C162.28 64.8, 166.42 58.72, 175 52.92 M160.45 65.3 C163.76 60, 169.18 55.49, 171.87 49.26 M166.05 66.49 C168.73 63.97, 170.45 62.89, 173.5 55.69 M163.87 66.43 C166.86 63.03, 170.21 60.38, 174.62 56.39 M171.01 67.49 C169.51 65.92, 170.32 65.78, 173.52 61.19 M170.19 66.74 C171.9 65.29, 172.67 62.94, 173.25 62.3" stroke="#2f9e44" stroke-width="0.5" fill="none"></path><path d="M0.31 1.96 C53.54 -3.07, 106.04 -5.23, 168.68 -0.13 M-0.99 -0.28 C43.44 0.6, 84.11 -2.31, 173.4 -1.88 M169.84 3.97 C173.6 26.49, 175.28 47.34, 172.04 68.97 M173.94 1.7 C170.64 26.56, 174 48.01, 171.99 67.3 M170.06 68.43 C105.34 69.75, 41.89 67.58, 1.3 65.14 M172.21 65.12 C117.51 62.95, 63.68 62.78, 1.99 67.81 M1.44 65.6 C-4.7 45.7, 2.85 24.23, -0.56 -3.37 M-1.92 67.24 C-1.12 51.11, -1.21 36.16, 1.17 1.16" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(472.4841389892317 210.79538447398818) rotate(0 74.70000457763672 25)"><text x="74.70000457763672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Storage </text><text x="74.70000457763672" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">FUSE</text></g><g stroke-linecap="round"><g transform="translate(116.5541514399556 333.6237080003725) rotate(0 71.05599080745924 53.64312599688674)"><path d="M1.63 1.85 C53.13 40.73, 104.12 80.01, 142.68 109.08 M-0.56 -1.8 C36.71 25.05, 75.3 55.78, 139.77 105.3" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(116.5541514399556 333.6237080003725) rotate(0 71.05599080745924 53.64312599688674)"><path d="M112.81 98.06 C122.65 99.27, 131.93 101.72, 142.81 107.21 M110.62 94.41 C118.82 96.5, 128.12 101.36, 139.9 103.44" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(116.5541514399556 333.6237080003725) rotate(0 71.05599080745924 53.64312599688674)"><path d="M125.35 81.81 C130.47 89.03, 135.04 97.58, 142.81 107.21 M123.15 78.16 C128.02 84.66, 134 93.81, 139.9 103.44" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(343.18414356686844 230.79538447398818) rotate(0 55.7685242369771 1.4992819239308801)"><path d="M-3.59 0.08 C34.12 2.26, 63.86 2.86, 114.48 2.92 M1.6 0.2 C32.17 2.38, 62.17 1.51, 115.12 0.23" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(343.18414356686844 230.79538447398818) rotate(0 55.7685242369771 1.4992819239308801)"><path d="M83.59 11.21 C97.73 9.55, 103.94 7.38, 113.6 3.71 M88.78 11.34 C96.11 10.11, 102.86 6.51, 114.24 1.01" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(343.18414356686844 230.79538447398818) rotate(0 55.7685242369771 1.4992819239308801)"><path d="M83.12 -9.3 C97.45 -5.47, 103.8 -2.16, 113.6 3.71 M88.31 -9.18 C95.77 -4.99, 102.65 -3.18, 114.24 1.01" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(454.18414356686844 233.22662126919545) rotate(0 -54.12691969424486 -0.8467816244005917)"><path d="M-2.21 1.6 C-34.66 0.14, -66.55 -3.4, -107.93 -3.29 M-0.32 -1.22 C-38.2 2.68, -73.77 1.78, -107.31 0.5" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(454.18414356686844 233.22662126919545) rotate(0 -54.12691969424486 -0.8467816244005917)"><path d="M-81.04 -7.3 C-88.19 -4.77, -94.96 -5.52, -107.24 -3.35 M-79.15 -10.13 C-89.52 -4.4, -97.5 -2.23, -106.63 0.44" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(454.18414356686844 233.22662126919545) rotate(0 -54.12691969424486 -0.8467816244005917)"><path d="M-81.66 13.21 C-89.01 9.27, -95.58 2.04, -107.24 -3.35 M-79.77 10.39 C-89.71 8.98, -97.48 4.04, -106.63 0.44" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(717.9595289344215 235.21976448289774) rotate(0 -40.82532363145583 1.4885333520848008)"><path d="M2.43 -0.47 C-27.22 2.88, -62.6 0.09, -84.09 3.82 M-0.41 -1.83 C-24.99 2.53, -52.68 3.36, -81.68 4.8" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(717.9595289344215 235.21976448289774) rotate(0 -40.82532363145583 1.4885333520848008)"><path d="M-51.59 -7.27 C-61.3 -1.01, -76.6 -0.79, -85.12 4.96 M-54.43 -8.64 C-62.31 -2.3, -73.16 1.06, -82.72 5.94" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(717.9595289344215 235.21976448289774) rotate(0 -40.82532363145583 1.4885333520848008)"><path d="M-50.59 13.22 C-60.36 11.72, -76.04 4.18, -85.12 4.96 M-53.44 11.86 C-61.25 11.69, -72.41 8.53, -82.72 5.94" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(637.9156193298913 239.9550706272464) rotate(0 35.75772157618212 -4.5447440610931835)"><path d="M-2.83 -3.44 C28.36 -0.45, 52.68 -0.8, 72.57 -8.05 M0.2 -1.04 C25.78 -1.47, 48.97 -2.28, 74.34 -3.75" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(637.9156193298913 239.9550706272464) rotate(0 35.75772157618212 -4.5447440610931835)"><path d="M43.89 4.51 C57.42 4.36, 64.14 1.21, 73.52 -7.4 M46.91 6.91 C57.07 3.42, 64.88 0.15, 75.28 -3.09" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(637.9156193298913 239.9550706272464) rotate(0 35.75772157618212 -4.5447440610931835)"><path d="M42.84 -15.98 C56.91 -8.24, 64.03 -3.51, 73.52 -7.4 M45.86 -13.58 C56.48 -10.17, 64.64 -6.55, 75.28 -3.09" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(330.6847755307299 393.3393803246604) rotate(0 11.388622939523884 12.64230856193069)" fill-rule="evenodd"><path d="M0.71 0.37 L22 15.22 L21.82 24.94 L-0.63 13.45 L0.24 4.05" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.1 1.49 C9.29 6.94, 18.16 12.94, 20.9 12.6 M-0.59 0.38 C5.75 3.52, 12.41 8.61, 22.69 14.53 M22.06 15.02 C22.76 17.1, 23.16 19.73, 23.36 25.1 M22.35 13.83 C22.63 17.85, 23.25 20.55, 22.65 25.18 M21.38 25.53 C17.49 22.58, 15.56 20.24, 0.75 12.32 M22.57 25.03 C18.58 22.47, 11.91 19.82, -0.12 11.39 M0.63 11.49 C-0.06 9.36, -0.48 8.29, -0.47 2.03 M-0.11 12.37 C0.61 10.23, 0.11 8, 0.57 2.96 M0.15 2.65 C0.3 1.89, 0.03 1.13, 0.19 -0.25 M0.34 2.55 C0.2 1.98, 0.13 1.15, 0.08 0.07" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(291.5107868741252 407.81366477090455) rotate(0 12.462902108105254 0.7973269625766761)" fill-rule="evenodd"><path d="M-0.57 0.97 L12.07 -7.82 L24.66 1.62 L13.5 9.53 L-0.73 0.44" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.31 0.99 C4.4 -1.15, 7.07 -5.94, 12.9 -6.8 M-0.27 -0.31 C3.67 -1.28, 7.02 -3.61, 13.1 -6.87 M13.35 -7.45 C17.7 -5.43, 21.77 -2.85, 25.49 -0.01 M13.27 -6.91 C16.79 -5.71, 18.66 -3.91, 24.93 -0.34 M24.85 0.02 C22.47 3.11, 17.27 5.96, 12.42 9.04 M26.05 0.13 C20.7 3, 16.95 5.05, 12.94 8.19 M12.95 7.02 C7.56 5.84, 2.89 1.59, -1.13 -0.21 M14.01 8.63 C8.23 5.66, 4 2.88, -0.39 0.78 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(291.3974646492902 408.7630631094137) rotate(0 6.772626311446174 10.438843576292015)" fill-rule="evenodd"><path d="M-1.31 -0.48 L-0.84 16.01 L12.99 23.59 L12.33 7.6 L0.72 1.16" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.22 1.18 C-1.14 4.25, -0.35 11.42, -0.51 13.71 M0.17 0.63 C0.07 5.13, -0.25 10.3, 0.34 14.23 M0.41 14.04 C5.19 16.9, 9.51 19.91, 12.16 21.47 M0.61 14.26 C2.36 15.85, 5.18 17.31, 13.44 21.4 M14.29 22.21 C13.43 17.74, 11.96 14.05, 13.71 6.34 M12.28 22.25 C12.61 17.7, 12.34 14.48, 13.4 7.41 M11.86 7.82 C8.7 4.57, 5.61 3.37, 1.08 -1.37 M12.74 7.68 C8.55 5.27, 2.81 2.61, -0.74 -0.39 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(304.62231440502774 415.99087935043167) rotate(0 6.06543828992244 3.275457939320745)" fill-rule="evenodd"><path d="M-0.95 1.44 L0.22 16.56 L12.1 7.63 L13.65 -6.53 L1.44 1.55" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-1.25 -1.25 C-0.36 6, -0.43 10.08, 0.84 14.48 M0.09 0.21 C-0.18 4.35, 0.41 7.45, 0.78 15 M0.57 14.59 C3.79 12.59, 6.72 9.92, 11.7 6.95 M-0.37 14.71 C4.01 11.73, 9.64 8.81, 12.87 6.8 M13.15 7.42 C11.57 3.98, 13.41 -2.24, 12.35 -6.77 M12.5 6.73 C12.39 3.03, 13.38 -1.29, 12.52 -7.97 M11.73 -8.45 C8.7 -6, 7.8 -5.35, 1.15 0.89 M13.38 -6.98 C7.59 -3.92, 2.29 -2.13, 0.41 0.34 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(353.2057475167212 456.37157570955947) rotate(0 -12.098848685729308 13.44352776943117)" fill-rule="evenodd"><path d="M-0.04 1.54 L-23.3 14.7 L-22.4 26.58 L1.12 13.56 L-0.83 1.36" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.63 0.69 C-9.58 4.08, -16.56 9.97, -23.38 14.74 M-0.37 0.61 C-8.38 5.12, -16.73 11.05, -22.65 14.46 M-22.66 14.11 C-23.34 16.78, -23.69 19.99, -22.47 26.17 M-23.1 13.85 C-22.5 16.66, -22.92 19.75, -23.19 25.89 M-24.69 26.88 C-15.22 20.12, -9.79 18.3, -0.46 10.01 M-23.95 25.69 C-15.18 21.52, -8.76 16.45, -0.94 11.2 M-1.01 11.88 C0.45 7.87, 0.51 6.04, 0.49 2.1 M-0.56 12.48 C-0.84 8.25, -0.09 5.21, -0.27 2.35 M-0.38 2.59 C-0.12 2.01, -0.09 1.25, 0.24 0.01 M-0.24 2.54 C-0.26 1.93, -0.24 1.19, -0.06 0.09" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(343.4860875299655 413.55485425200004) rotate(0 5.154285570099773 23.72599100210448)" fill-rule="evenodd"><path d="M-0.73 0.44 L1.33 49.54 L11.21 44.34 L9.77 3.99 L1.15 -1.88" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.85 -1.17 C0.75 9.78, -0.7 21.48, 2.33 48.62 M0.32 -0.45 C0.71 15.83, 0.13 31.92, 0.25 48.6 M-0.02 47.97 C2.27 46.71, 6.2 46.08, 9.33 41.89 M0.9 47.92 C3.05 46.73, 5.32 46.02, 9.82 42.91 M10.63 41.69 C9.46 32.15, 10.27 17.04, 10.84 4.25 M10.22 43.12 C9.66 33.47, 9.72 24.07, 10.76 4.35 M11.16 4.08 C8.67 4.53, 6.15 2.07, 0.8 0.7 M9.75 4.84 C6.6 3.48, 2.23 1, -0.28 0.44 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(277.6659975061448 394.53064519137433) rotate(180 -11.56738499803214 12.968748239665729)" fill-rule="evenodd"><path d="M0.72 1.16 L-21.13 15.81 L-23.68 24.26 L0.83 10.13 L0.57 3.34" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.77 -0.72 C-8.42 5.12, -13.44 9.65, -22.01 13.51 M0.69 -0.02 C-8.17 5.24, -16.58 10.39, -22.86 14.17 M-23.42 14.08 C-22.14 18.21, -23.41 19.72, -23.6 24.36 M-22.54 13.96 C-22.69 17.27, -22.7 19.46, -23.04 24.98 M-23.9 26.65 C-14.81 18.54, -5.66 14.65, -1.57 10.36 M-23.67 25.05 C-16.35 20.16, -7.85 15.78, -0.83 11.29 M0.4 12.57 C0.39 8.88, 0.29 7.14, 0.61 2.04 M-0.06 12.22 C-0.2 8.06, -0.43 4.79, -0.75 2.32 M-0.21 2.5 C0.04 1.69, -0.22 1.02, 0.15 0.09 M-0.37 2.48 C-0.25 1.8, -0.1 1.01, -0.05 0.03" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(255.4510725334344 455.9498012711565) rotate(180 11.484932844538207 12.98389103021509)" fill-rule="evenodd"><path d="M1.44 1.55 L22.02 13.1 L24.28 23.54 L1.18 12.83 L0.53 3.77" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.81 0.48 C7.23 3.76, 11.51 6.22, 23.78 14.9 M-0.08 0.2 C5.5 3.85, 11.31 7.19, 22.44 13.68 M23.22 15 C22.18 16.23, 22.3 19.03, 22.32 26.04 M22.51 14.73 C22.75 16.75, 22.9 18.57, 23.54 25.66 M22.99 23.42 C18.11 21.39, 10.78 17.35, 0.86 12.93 M22.51 24.61 C16.06 20.08, 7.53 15.7, 0.19 12.73 M1.09 11.6 C0.9 10.61, 1.13 7.58, 1.23 1.57 M0.34 11.85 C0.03 10.01, -0.21 7.11, 0.42 2.73 M0.53 2.52 C0.07 1.81, 0.22 0.85, 0.05 -0.07 M0.22 2.61 C0.2 1.73, 0.06 0.79, 0.05 0.07" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(255.40499819795832 413.79587409169585) rotate(180 5.261766071646889 24.881163163862425)" fill-rule="evenodd"><path d="M-0.55 -1.16 L1.76 46.51 L10.62 43.62 L10.56 6.4 L-0.1 -0.93" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M1.73 0.24 C0.52 12.04, 1.34 26.2, -0.3 49.76 M-0.35 0.21 C-0.15 14.32, 0.19 28.23, 0.21 47.63 M0.17 47.48 C2.72 45.72, 5 45.74, 8.83 42.85 M0.66 48.5 C2.96 46.51, 5.53 45.78, 9.47 42.59 M10.28 41.9 C8.75 27.53, 10.73 16.49, 10.97 4.05 M10.2 42 C9.63 32.18, 10.16 23.73, 9.4 5.91 M11.12 5.84 C7.65 2.68, 4 0.25, -0.6 0.64 M10.04 5.58 C6.19 3.1, 3.36 1.82, 0.28 0.16 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(307.5997467536745 439.47964177937047) rotate(0 12.9158596012835 -0.05970978920970538)" fill-rule="evenodd"><path d="M1.15 -1.88 L14.24 -6.51 L25.85 1.43 L13.44 7.06 L-1.2 -0.21" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.42 -0.57 C5.2 -1.9, 7.92 -3.72, 13.35 -7.46 M-0.22 -0.06 C4.21 -2.82, 8.3 -5.31, 13.26 -6.88 M12.78 -8.69 C16.8 -3.68, 21.07 -1.64, 24.85 0.02 M13.49 -7.89 C18.62 -4.16, 22.4 -1.86, 26.05 0.13 M24.72 -1.01 C23.6 2.35, 21.27 2.46, 13 7.11 M25.25 -0.34 C22.9 2.32, 19.69 4.06, 13.97 8.58 M15.02 7.21 C11.56 4.46, 5.71 4.83, 0.72 0.04 M12.77 7.68 C10.21 6.33, 6.76 4.06, -0.03 0.75 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(307.48642452883996 440.4290401178796) rotate(0 6.785359097189485 11.006080731626184)" fill-rule="evenodd"><path d="M0.85 0.83 L0.35 15.82 L12.93 21.13 L11.86 6.96 L1.8 -0.7" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.88 0.47 C-0.58 5.54, 0.07 8.96, 0.4 14.05 M-0.09 -0.42 C-0.29 4.12, -0.09 9.78, 0.59 14.27 M-0.97 15.39 C1.56 16.38, 4.85 17.76, 14.29 22.21 M0.65 14.89 C3.86 16.78, 8.89 19.43, 12.28 22.25 M13.43 22.74 C13.61 17.44, 12.58 13.53, 11.86 7.82 M12.93 22.6 C12.43 19.35, 13.56 16.1, 12.74 7.68 M14.54 5.68 C7.51 5.34, 4.26 1.97, -0.5 -0.73 M13.28 7.5 C8.58 4.63, 3.28 2.44, 0.02 -0.33 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(320.71127428457703 447.6568563588976) rotate(0 6.172277022609478 3.3288665899845)" fill-rule="evenodd"><path d="M0.24 1.25 L0.16 14.09 L11.63 6.99 L14.73 -8.38 L-0.84 0.34" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-0.68 1.03 C0.13 3.83, 0.53 7.37, 0.58 14.59 M-0.29 -0.57 C-0.06 4.83, 0.63 8.46, -0.37 14.7 M-1.03 15.1 C2.11 13.19, 6.72 11.89, 13.15 7.42 M-0.15 14.73 C3.45 13.18, 5.04 11.68, 12.5 6.73 M13.31 6.38 C12.26 3.04, 11.63 1.37, 11.74 -8.45 M12.14 7.76 C13.31 4.4, 12.57 0.92, 13.38 -6.99 M12.14 -6.86 C10.45 -5.86, 6.02 -4.71, 1.14 -1.46 M13.29 -7.48 C9.56 -4.91, 6.25 -3.96, 0.5 0.44 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(275.3541576245825 438.965625869336) rotate(0 12.703975264983228 0.43256386484142695)" fill-rule="evenodd"><path d="M-0.1 -0.93 L12.18 -7.54 L27.41 -0.52 L12.7 8.33 L-1.97 1" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.03 -0.12 C4.79 -3.06, 9.24 -5.41, 13.26 -7.53 M-0.12 0.45 C3.78 -1.98, 5.86 -3.77, 12.66 -7.88 M12.62 -7.49 C18.88 -4.53, 22.32 -1.78, 24.49 1.23 M13.82 -7.38 C16.82 -4.52, 21.42 -2.57, 25.02 0.37 M25.08 -0.71 C20.3 3.45, 16.13 4.79, 12.51 7.8 M26.04 0.76 C20.73 3.68, 16.97 6.77, 13.18 8.71 M14.25 8.03 C10.33 5.69, 9.35 3.33, -0.63 0.47 M13.51 8.75 C8.84 4.93, 4.67 2.96, 0.28 0.14 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(275.2408353997471 439.91502420784514) rotate(0 6.701459897864197 11.099561073600626)" fill-rule="evenodd"><path d="M-1.2 -0.21 L1.91 13.87 L12.19 22.4 L11.09 8.16 L1.93 -0.76" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.3 -0.51 C0.34 4.95, -0.04 10.56, -0.74 14 M0.49 -0.29 C-0.61 2.95, -0.67 6, 0.51 13.93 M1.37 14.71 C4.34 17.1, 6.8 20.25, 13.68 21.23 M-0.64 14.76 C3.2 16.06, 6.29 18.69, 13.37 22.3 M11.83 22.71 C11.9 17.65, 12.03 14.56, 14.14 5.8 M12.71 22.57 C13.4 17.15, 12.59 11.58, 12.32 6.78 M12.55 6.43 C9.52 3.17, 3.15 2.52, 0.68 0.73 M13.07 6.84 C9.28 5.37, 4.76 2.73, -0.21 0.36 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(288.4656851554846 447.14284044886335) rotate(0 6.594486623790317 3.0486917946592484)" fill-rule="evenodd"><path d="M1.8 -0.7 L-0.57 15.36 L10.86 8.19 L14.86 -8.45 L-1.71 1.38" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M0.32 -0.44 C-0.02 4.2, -0.69 8.19, -0.88 14.78 M-0.63 -0.32 C-0.52 4.85, 0.7 10.12, 0.3 14.62 M0.58 15.25 C2.68 13.83, 8.11 9.66, 12.25 8.11 M-0.07 14.56 C3.41 12.89, 8.05 10.64, 12.42 6.92 M11.64 6.44 C11.9 3.45, 14.08 -1.27, 14.07 -6.8 M13.28 7.89 C12.56 2.26, 12.23 -4.54, 13.34 -7.35 M14.07 -9.15 C8.39 -4.98, 5.76 -2.36, 0.42 -0.06 M13.43 -7.25 C8.08 -4.56, 2.48 -1.29, -0.49 -0.18 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(30.295810958624315 283.8389721763083) rotate(0 35.25113619872445 23.500757465816264)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-0.94 6.48 C1.86 4.15, 3.72 3.28, 4.8 0.94 M-0.38 6.51 C1.23 5.13, 2.18 3.88, 4.77 0.07 M-1.15 10.99 C2.57 6.41, 6.34 1.95, 9.35 0.46 M-0.28 11.29 C4.18 7.81, 8.54 2.41, 11.39 0.75 M1.7 17.89 C4.92 9.84, 11.52 3.28, 13.75 1.83 M0.31 18.4 C2.74 14.19, 7.43 10.7, 15.46 0.49 M1.09 22.89 C3.57 18.49, 7.15 15.8, 19.68 -1.37 M-0.2 23.4 C6.06 17.25, 13.61 9.67, 22.22 0.36 M-0.31 31.2 C5.84 25.9, 10.98 16.91, 26.8 1.21 M0.3 29.51 C6.94 23.24, 13.56 17.05, 27.22 -0.07 M0.08 36.15 C9.53 27.47, 16.95 17.21, 32.85 1.43 M-0.19 36.16 C8.03 28.68, 16.02 19.02, 31.52 0.64 M-0.04 43.74 C15.04 28.11, 26.05 12.39, 37.53 1.29 M-0.57 41.86 C14.37 27.13, 28.31 10.72, 37.84 0.74 M0.98 47.83 C11.06 35.55, 24.21 21.49, 41.28 1.43 M1.9 47.66 C12.28 34.51, 23.3 22.07, 43.14 0.03 M6.17 48.17 C17.39 35.53, 27.78 23.4, 45.54 1.63 M6.8 47.41 C18.13 36.07, 27.68 22.32, 46.55 0.61 M10.96 48.95 C25.54 29.5, 39.6 11.42, 51.46 1.33 M11.33 48.54 C24.97 33.49, 36.14 18.33, 53.89 -0.37 M16.48 47.71 C28.25 33.37, 40.61 22.19, 56.18 0.09 M17.37 47.27 C26.61 36.61, 35.45 28.45, 57.69 0.08 M20.49 49.41 C32.49 36.5, 45.02 23.35, 63.6 -1.9 M22.11 48.9 C31.43 35.98, 41.87 25.92, 63.67 -0.55 M27.52 47.6 C37.62 34.91, 47.1 24.09, 68.57 0.72 M27.97 47.23 C42.57 29.54, 58.55 11.31, 68.75 0.58 M33.04 49.03 C41.93 40.08, 48.02 27.94, 73.73 1.2 M32.54 47.42 C47.85 31, 62.66 12.86, 71.57 2.6 M38.28 46.05 C48.72 36.84, 60.18 21.3, 72.99 9.43 M37.13 48.65 C46.04 38.12, 54.34 27.31, 73.77 7.97 M42.44 49.16 C51.07 39.52, 61.37 26.46, 71.01 15.65 M42.74 48.92 C53.37 37.07, 62.35 24.65, 73.17 14.39 M49.48 47.51 C54.05 40.64, 58.44 36.84, 74.03 20.51 M48.54 47.77 C58.66 36.57, 66.43 26.52, 72.44 21.15 M52.32 49.38 C62.49 37.72, 66.62 29.68, 73.45 27.32 M53.92 47.06 C57.79 43.26, 62.98 37.7, 72.32 25.6 M59.61 46.69 C64.07 41, 69.41 36.4, 73.28 30.78 M58.97 47.7 C61.88 44.72, 65.03 41.1, 72.88 32.14 M64.12 47.67 C67.32 44.82, 69.4 43.18, 72.48 38.18 M64.4 48.25 C66.8 45.53, 68.78 43.64, 73.21 37.88 M69.75 47.76 C71.15 46.87, 71.74 45.28, 72.5 44.85 M70.03 47.74 C71.02 46.64, 71.6 45.63, 72.54 44.56" stroke="#ced4da" stroke-width="0.5" fill="none"></path><path d="M-0.68 -1.21 C26.68 1.63, 50.86 1.75, 70.98 -0.01 M-0.84 0.61 C22.03 0.89, 43.14 0.58, 69.64 0.53 M69.5 -1.82 C70.29 10.54, 71.49 22.47, 69.62 48.33 M69.55 -0.03 C70.93 19.02, 70.79 38.35, 70.66 47.35 M68.62 48.38 C51.47 46.33, 36.28 46.59, -0.21 47.09 M70.6 47.83 C47.08 46.7, 23.8 46.93, -0.1 47.08 M-1.15 47.01 C-0.99 36.49, 1.31 25.1, 0.64 1.66 M-0.83 47.99 C-0.18 37.46, 0.35 27.73, 0.85 -0.98" stroke="#000000" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(30.381148109741844 331.1630509458487) rotate(0 35.206072609956095 13.840379932888595)" fill-rule="evenodd"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M-18.2 25.14 C-14.43 22.24, -9.86 14.33, 5.11 -0.86 M-18.1 26.43 C-11.9 20.69, -6.32 15.19, 4.1 1.24 M-13.75 30.59 C-5.33 17.78, 3.89 9.24, 9.44 -0.46 M-13.74 28.56 C-6.98 22.36, -0.35 13.51, 10.4 0.17 M-8.36 29.57 C-4.57 23.51, 2.26 18.36, 14.5 1.53 M-8.65 29.76 C-1.64 21.37, 4.08 14.07, 16.31 0.01 M-2.49 29.75 C1.92 21.51, 10.91 13.5, 22.96 -0.98 M-3.76 29.21 C1.85 22.77, 8.72 16.36, 20.92 0.66 M0.54 29.44 C8.23 21.64, 11.1 17.83, 25.46 2.08 M2.06 28.14 C7.64 21.66, 12.8 16.35, 26 -0.14 M6.61 29.06 C11.1 23.68, 15.9 17.39, 31.38 1.42 M7.92 29.57 C11.22 22.9, 16.38 16.9, 32.51 -0.16 M11.11 27.71 C17.13 18.82, 24.52 13.96, 37.1 0.89 M12.84 29.09 C17.02 21.83, 24.86 14.58, 36.62 0.2 M17.66 27.61 C28.42 18.32, 35.1 6.1, 40.7 -2.04 M18.3 27.57 C27.13 19.36, 34.56 8.33, 42.2 0.56 M22.34 30.61 C33.32 19.31, 41.61 5.16, 46.27 0.28 M22.22 27.96 C28.05 22.9, 33.36 15.73, 46.8 -0.64 M28.5 26.72 C36.45 17.65, 43.96 10.74, 54.64 -1.91 M27.47 28 C34.43 20.08, 41.26 13.86, 52.17 0.57 M34.96 30.58 C42.68 16.33, 54.05 5.32, 59.59 0.83 M33.86 29 C41.42 19.32, 47.69 11.9, 58.26 0.49 M38.76 29.98 C45.59 19.93, 51.52 16.01, 62.67 1.52 M38.66 28.55 C45.07 19.98, 52.72 13.95, 63.71 0.47 M43.44 30.34 C53.17 17.88, 58.36 11.86, 69.4 1.38 M44.57 29.32 C52.81 17.64, 62.45 8.31, 67.86 -0.34 M49.77 27.21 C56.9 20.15, 66.64 10.62, 74.07 0.47 M50.23 27.77 C56.22 19.78, 64.04 12.55, 73.26 2.03 M56.01 26.83 C58.76 20.43, 66.81 16.71, 73.88 3.53 M54.24 28.92 C61.67 20.92, 67 13.55, 75.62 4.32 M60.65 26.51 C66.2 21.72, 69.69 16.66, 76.5 8.65 M59.65 29.08 C65.51 22.4, 72.03 14.89, 77.05 7.11 M66.67 27.27 C71.06 23.44, 72.76 19.42, 78.85 12.35 M65.94 28.65 C71.67 22.57, 77.17 15.02, 80.64 12.02 M72.18 30.12 C75.23 22.32, 79.37 19.48, 83.93 12.82 M71.49 28.77 C73.06 25.15, 76.72 21.2, 83.05 13.24 M75.27 29.02 C78.04 26.04, 80.25 21.72, 84.79 18.16 M75.79 28.38 C79.2 25.94, 80.59 22.86, 85.71 18.15 M82.28 27.61 C84.59 26.11, 87.11 23.41, 88.11 21.51 M81.48 28.21 C84.11 26.17, 85.7 23.03, 88.14 20.96" stroke="#ced4da" stroke-width="0.5" fill="none"></path><path d="M0.88 1.48 C-6.3 8.05, -10.54 12.99, -19.6 23.36 M0.94 0.55 C-4.14 6.25, -10.89 12.45, -20.3 23.96 M-19.7 23.44 C-17.94 25.29, -16.92 26.9, -15.36 27.69 M-19.56 23.58 C-18.51 24.89, -17.34 25.9, -16.03 27.36 M-17.64 27 C9.95 26.56, 34.96 26.7, 86.75 28.75 M-16.41 27.33 C9.27 26.72, 36.13 26.55, 85.53 27.07 M85.95 27.37 C88.05 25.73, 89.37 24.86, 89.55 23.57 M86.22 27.3 C87.64 25.96, 89 24.54, 90.35 23.27 M90.71 22.51 C84.51 15.23, 80.19 10.44, 70.16 -0.65 M90.31 23.84 C84.51 17.85, 78.34 9.4, 70.57 -0.85 M71.64 -1.07 C55.43 1.48, 36.34 1.51, -1.42 -0.25 M71.22 0.32 C47.83 0.85, 24.44 -0.53, 0.66 0.09 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(31.97782948777285 285.60675490224617) rotate(0 33.39145148993748 21.60623331701845)"><path d="M0.82 0.62 L65.79 0.33 L65.53 45.15 L1.06 42.87" stroke="none" stroke-width="0" fill="#fff"></path><path d="M-0.75 1.6 C16.47 -0.51, 31.96 -0.64, 65.8 -1.68 M0.97 0.23 C23.28 0.16, 47.57 0.1, 67.73 -0.5 M67.55 0.96 C65.81 10.35, 68.66 19.44, 66.83 41.3 M66.74 0.89 C66.99 13.19, 66.27 25.86, 66.28 42.27 M67.09 43.16 C41.93 43.2, 18 44.54, -0.9 43.4 M65.88 43.46 C41.15 43.3, 14.98 42.97, 0.8 42.64 M1.19 42.72 C0.88 31.89, -1.73 17.52, 0.48 -1.66 M0.41 42.89 C0.9 25, 1.03 7.9, 0.02 -0.03" stroke="#000000" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(57.7133613354099 342.5908658408491) rotate(0 7.736907114189989 4.193183168208293)" fill-rule="evenodd"><path d="M-1.07 1.78 L-2.51 7.36 L21.03 6.41 L15.42 0.46 L-0.59 0.56" stroke="none" stroke-width="0" fill="#fff" fill-rule="evenodd"></path><path d="M0.21 0 C-1.5 2.9, -3.39 5.16, -3.38 8.66 M-0.38 0.23 C-1.63 2.99, -2.29 5.35, -4.32 7.74 M-4.8 9.16 C4.85 9.12, 9.74 5.81, 19.53 8.03 M-3.75 8.19 C3.28 7.8, 11.07 6.68, 20.27 6.95 M19.49 7.87 C18.68 6.24, 16.95 3.46, 16.39 -0.46 M19.54 7.87 C18.16 5.37, 17.65 2.87, 15.67 -0.24 M16.17 1.3 C9.27 0.18, 6.33 -1.34, 1.55 -0.18 M16.33 -0.77 C11.84 -0.72, 6.49 -0.07, 0.32 0.24 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(10.7118464037776 354.3412445737572) rotate(0 55.02743578922332 0.6737916036756815)"><path d="M-0.02 -0.14 C40.72 -1.67, 84.63 1.89, 110.77 1.95 M-0.71 0.46 C36.42 -1.08, 70.04 -0.8, 109.56 0.39" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(135.3041424987532 398.2953844739882) rotate(0 30.880001068115234 25)"><text x="30.880001068115234" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">publish</text><text x="30.880001068115234" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">image</text></g><g stroke-linecap="round"><g transform="translate(267.3383868780729 232.64726378119508) rotate(0 1.6523418669048624 -22.82057102539534)" fill-rule="evenodd"><path d="M0 -1.75 L14.23 -1.24 L3.44 -40.55 L-12.12 -44.61 L0.59 -1.23" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.95 1.12 C4.24 0.35, 9.28 -0.37, 16.18 -1.01 M-0.37 0.45 C2.69 0.7, 6.52 -0.06, 15.24 0.56 M14.96 -0.64 C14.71 -9.36, 10.84 -15.41, 2.45 -37.2 M14.75 -0.21 C12.07 -9.14, 9.94 -18.05, 4.06 -38.54 M4.6 -38.12 C-0.45 -41.57, -5.08 -43.28, -12.87 -44.96 M3.78 -38.58 C0.19 -40.76, -2.45 -40.96, -12.19 -45.61 M-12.18 -46.36 C-7.68 -36.35, -7.01 -26.21, -0.61 0.53 M-11.27 -46.76 C-7 -31.05, -4.19 -14.07, 0.84 0.17 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(297.78396274603165 232.49595099774842) rotate(0 15.432333602314202 -22.28832722284926)" fill-rule="evenodd"><path d="M-0.94 -0.88 L45.35 -2.03 L-14.11 -46.12 L1.31 -2.11" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-1.49 0.41 C9.68 -0.92, 24.86 -1.69, 44.32 -1.01 M-0.78 0.98 C14.01 -0.36, 28.51 0.46, 44.94 -1.11 M47.58 -1.7 C27.89 -13.3, 8.45 -25.06, -16.72 -42.91 M46.08 -0.06 C30.58 -11.61, 14.09 -23.43, -15.29 -44.08 M-14.79 -45.52 C-8.86 -29.15, -5.91 -12.11, -1.86 0.89 M-15.99 -45.55 C-9.75 -27.89, -5.03 -11.93, -0.8 -1.59 M0.09 -0.93 C0 -0.63, -0.03 -0.3, 0.04 -0.02 M0.05 -0.96 C-0.01 -0.67, 0.05 -0.44, 0.04 0.04" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(327.47815898751605 278.1869859379203) rotate(180 -14.835323179816214 -22.387273864389613)" fill-rule="evenodd"><path d="M-0.58 -1.85 L-44.61 -1.42 L16.74 -46.07 L-1.81 0.65" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-1.9 -0.53 C-15.54 -1.23, -36.09 -0.87, -45.82 -1.16 M-0.03 -0.03 C-16.13 1.23, -34.16 -0.61, -46 -0.15 M-45.94 0 C-31.09 -10.29, -14.27 -22, 14.67 -45.2 M-45.32 0.17 C-28.28 -12.82, -10.76 -25.01, 16.01 -44.46 M16.33 -44.76 C8.71 -28.65, 3.31 -13.54, 1.32 -1.16 M15.51 -43.98 C9.38 -30.18, 4.49 -17.52, 0.2 -1.29 M-0.03 -0.92 C-0.03 -0.63, 0.04 -0.4, -0.04 0.02 M-0.04 -0.91 C0.03 -0.68, 0.03 -0.43, -0.02 -0.02" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(269.8338780185768 279.34986337102646) rotate(180 -2.029598619429862 -22.848859123770694)" fill-rule="evenodd"><path d="M-0.68 1.62 L-14.32 -1.3 L-2.69 -39.56 L10.77 -46.41 L-1.97 0.49" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M1.27 -0.94 C-5.98 -0.68, -9.48 -0.82, -14 -1.23 M0.33 0.63 C-6.67 -0.73, -11.91 -0.04, -15.12 0.54 M-16.34 1.47 C-13.72 -6.76, -10.75 -17.7, -4.17 -38.46 M-14.74 0.13 C-11.56 -11.36, -7.72 -23.77, -3.52 -38.42 M-5.31 -37.48 C-1.41 -39.22, 5.43 -42.97, 11.78 -47.17 M-4.63 -38.12 C-1.03 -41.19, 3.42 -42.67, 11.39 -45.56 M10.83 -45.71 C8.96 -33.28, 3.89 -18.89, -1.06 1.22 M12.29 -46.06 C9.52 -35.41, 5.8 -26.76, -0.29 -0.93 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(253.76245519783606 18.75296815602792) rotate(0 37.58882198816423 41.29755774812077)" fill-rule="evenodd"><path d="M0.46 0.86 L0.36 80.91 L2.83 83.19 L17.25 87.05 L41.53 90.93 L60.42 86.42 L75.93 81.91 L74.44 -1.21 L66.14 -3.78 L35.23 -7.4 L10.55 -6.17 L3.06 -3.07 L-1.08 0.93" stroke="none" stroke-width="0" fill="#ced4da" fill-rule="evenodd"></path><path d="M0.98 -0.88 C1.1 11.19, 1.53 58.7, 1.38 72.26 C1.24 85.82, -0.27 78.33, 0.1 80.49 C0.46 82.64, 0.75 83.72, 3.57 85.19 C6.39 86.66, 10.98 88.46, 17.01 89.31 C23.04 90.16, 32.45 90.63, 39.75 90.3 C47.06 89.96, 55.44 88.44, 60.83 87.29 C66.23 86.13, 69.94 84.54, 72.12 83.36 C74.31 82.19, 73.3 81.78, 73.95 80.24 C74.6 78.7, 75.98 86.32, 76 74.14 C76.02 61.95, 74.53 19.62, 74.09 7.13 C73.65 -5.36, 74.03 1.11, 73.35 -0.81 C72.67 -2.73, 72.46 -3.62, 70.01 -4.38 C67.56 -5.15, 64.26 -4.9, 58.67 -5.4 C53.08 -5.9, 43.26 -7.12, 36.45 -7.4 C29.64 -7.69, 23.41 -7.86, 17.81 -7.09 C12.21 -6.32, 5.69 -4.16, 2.86 -2.79 C0.03 -1.43, 1.44 0.66, 0.82 1.12 C0.21 1.57, -0.72 0.29, -0.82 -0.06 M0.03 1.28 C0.04 13.48, 1.14 59.98, 1.03 73.31 C0.92 86.65, -1.06 79.1, -0.63 81.27 C-0.19 83.44, 0.39 85.44, 3.67 86.34 C6.95 87.23, 12.82 86.06, 19.06 86.65 C25.29 87.24, 34.06 90.03, 41.06 89.89 C48.07 89.74, 55.54 86.98, 61.07 85.79 C66.59 84.59, 71.82 83.32, 74.23 82.71 C76.64 82.11, 75.62 83.67, 75.52 82.16 C75.43 80.65, 73.9 86.52, 73.65 73.65 C73.4 60.79, 73.8 17.5, 74.04 4.98 C74.27 -7.55, 75.65 0.23, 75.06 -1.51 C74.46 -3.25, 72.77 -4.84, 70.47 -5.47 C68.16 -6.1, 66.83 -4.9, 61.22 -5.29 C55.62 -5.68, 43.91 -7.67, 36.85 -7.8 C29.79 -7.92, 24.77 -7.05, 18.86 -6.06 C12.96 -5.07, 4.57 -2.61, 1.42 -1.87 C-1.72 -1.12, 0.06 -1.91, -0.01 -1.57 C-0.08 -1.23, 0.88 -0.15, 1.02 0.16" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(254.02838778851992 10) rotate(0 37.26504103857019 7.536574193635602)"><path d="M46.57 -0.3 C54.21 -0.03, 63.33 1.49, 68.04 2.94 C72.75 4.4, 75.7 6.63, 74.85 8.41 C73.99 10.19, 68.73 12.61, 62.92 13.6 C57.11 14.59, 47.88 14.34, 39.98 14.33 C32.08 14.32, 21.85 14.34, 15.51 13.53 C9.18 12.71, 3.96 10.84, 1.99 9.44 C0.02 8.04, 0.4 6.5, 3.68 5.14 C6.96 3.79, 13.8 1.98, 21.68 1.34 C29.57 0.69, 45.61 1.47, 50.97 1.28 C56.33 1.08, 54.2 0.16, 53.84 0.17 M31.65 0.58 C38.98 0.26, 49.71 -0.2, 56.33 0.55 C62.96 1.31, 69.01 3.3, 71.4 5.12 C73.79 6.94, 73.55 9.82, 70.65 11.48 C67.75 13.14, 60.78 14.64, 54.02 15.07 C47.26 15.5, 37.59 14.31, 30.1 14.06 C22.62 13.81, 14.13 14.55, 9.11 13.59 C4.08 12.63, 0.12 10.05, -0.04 8.31 C-0.2 6.58, 3.05 4.44, 8.15 3.19 C13.25 1.93, 26.56 1.35, 30.56 0.78 C34.57 0.21, 32 -0.23, 32.2 -0.25" stroke="none" stroke-width="0" fill="#fff"></path><path d="M38.65 -0.22 C46.55 -0.25, 57.09 0.77, 63.18 1.78 C69.26 2.79, 74.26 4.35, 75.17 5.84 C76.08 7.33, 73.1 9.33, 68.62 10.7 C64.13 12.07, 55.92 13.27, 48.27 14.05 C40.63 14.83, 30.06 15.98, 22.74 15.38 C15.41 14.79, 7.82 12.2, 4.3 10.49 C0.79 8.77, 0.05 6.53, 1.64 5.11 C3.24 3.68, 7.37 2.91, 13.9 1.96 C20.43 1.01, 35.77 -0.33, 40.82 -0.59 C45.87 -0.85, 44.17 0.15, 44.22 0.38 M31.91 1.56 C39.2 1.12, 48.12 0.58, 54.9 0.94 C61.68 1.29, 69.62 2.05, 72.57 3.69 C75.53 5.33, 75.33 9.08, 72.61 10.77 C69.9 12.45, 63.04 13.15, 56.29 13.79 C49.53 14.44, 40 15, 32.07 14.62 C24.13 14.25, 13.82 12.51, 8.67 11.56 C3.52 10.6, 1.32 10.53, 1.18 8.9 C1.05 7.28, 2.75 3.37, 7.85 1.81 C12.95 0.26, 28.01 -0.15, 31.8 -0.42 C35.6 -0.69, 30.62 -0.18, 30.63 0.19" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(257.18414356686844 29.79538447398818) rotate(0 34 34)"><use href="#image-ecc95e91a94ba9aa2301e30b7ad6c75a14279879" width="68" height="68" opacity="1"></use></g><g transform="translate(333.18414356686844 26.79538447398818) rotate(0 82.25 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Hugging Face Hub</text></g><g transform="translate(45.18414356686844 363.7953844739882) rotate(0 18.5 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Dev</text></g><g stroke-linecap="round"><g transform="translate(287.18414356686844 188.52711325338078) rotate(0 1.3503987202009284 -37.969985314765154)"><path d="M2.03 0.69 C2.62 -12.35, 3.22 -63.85, 2.94 -76.63 M-0.31 -1.4 C0.02 -14.1, 0.05 -61.09, 1.13 -72.95" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(287.18414356686844 188.52711325338078) rotate(0 1.3503987202009284 -37.969985314765154)"><path d="M11.25 -43.25 C7.52 -54.84, 5.85 -60.26, 0.77 -74.12 M12.22 -43.04 C9.14 -55.86, 2.57 -64.34, 1.59 -71.7" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(287.18414356686844 188.52711325338078) rotate(0 1.3503987202009284 -37.969985314765154)"><path d="M-9.25 -44.06 C-7.24 -55.73, -3.18 -60.92, 0.77 -74.12 M-8.29 -43.86 C-4.31 -56.19, -3.82 -64.39, 1.59 -71.7" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(311.18414356686844 127.79538447398818) rotate(0 112.96001434326172 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">download model weights</text></g><g transform="translate(377.18414356686844 240.79538447398818) rotate(0 29.68000030517578 25)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">mount</text><text x="0" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">/data</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/09/20230901-palm-recommendation.svg b/assets/2023/09/20230901-palm-recommendation.svg
new file mode 100644
index 0000000..ef96ea5
--- /dev/null
+++ b/assets/2023/09/20230901-palm-recommendation.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 926.8196452026286 578.5572495756722" width="1853.6392904052573" height="1157.1144991513445">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="926.8196452026286" height="578.5572495756722" fill="#ffffff"></rect><g stroke-linecap="round"><g transform="translate(582.4708961540673 441.8832767752107) rotate(0 52.54859667738299 -17.46898911697167)" fill-rule="evenodd"><path d="M0 0 L82.45 0 L84.14 -0.05 L85.81 -0.19 L87.45 -0.43 L89.06 -0.75 L90.63 -1.16 L92.18 -1.66 L93.68 -2.24 L95.14 -2.9 L96.56 -3.63 L97.94 -4.44 L99.26 -5.31 L100.54 -6.26 L101.76 -7.27 L102.93 -8.34 L105.1 -10.67 L102.89 -13.37 L100.54 -15.95 L98.05 -18.39 L95.43 -20.69 L92.68 -22.84 L89.82 -24.83 L86.83 -26.67 L83.74 -28.34 L80.55 -29.83 L77.26 -31.15 L73.88 -32.28 L70.42 -33.22 L66.88 -33.96 L63.27 -34.5 L59.59 -34.83 L55.86 -34.94 L53.57 -34.9 L51.3 -34.77 L46.82 -34.29 L42.45 -33.49 L38.19 -32.39 L34.05 -31 L30.05 -29.34 L26.2 -27.41 L22.5 -25.23 L18.98 -22.8 L15.63 -20.14 L12.48 -17.27 L9.53 -14.18 L6.79 -10.9 L4.29 -7.44 L2.02 -3.8 L0 0" stroke="none" stroke-width="0" fill="#F0BF1A" fill-rule="evenodd"></path><path d="M0 0 C21.64 0, 43.29 0, 82.45 0 M0 0 C28.61 0, 57.22 0, 82.45 0 M82.45 0 C82.84 -0.01, 83.23 -0.02, 84.14 -0.05 M82.45 0 C83.05 -0.02, 83.64 -0.03, 84.14 -0.05 M84.14 -0.05 C84.56 -0.08, 84.98 -0.12, 85.81 -0.19 M84.14 -0.05 C84.49 -0.08, 84.83 -0.11, 85.81 -0.19 M85.81 -0.19 C86.25 -0.25, 86.68 -0.32, 87.45 -0.43 M85.81 -0.19 C86.35 -0.27, 86.88 -0.35, 87.45 -0.43 M87.45 -0.43 C88.08 -0.55, 88.7 -0.68, 89.06 -0.75 M87.45 -0.43 C87.94 -0.53, 88.43 -0.62, 89.06 -0.75 M89.06 -0.75 C89.61 -0.9, 90.16 -1.04, 90.63 -1.16 M89.06 -0.75 C89.4 -0.84, 89.74 -0.93, 90.63 -1.16 M90.63 -1.16 C90.94 -1.26, 91.25 -1.36, 92.18 -1.66 M90.63 -1.16 C91.04 -1.29, 91.44 -1.42, 92.18 -1.66 M92.18 -1.66 C92.73 -1.87, 93.28 -2.09, 93.68 -2.24 M92.18 -1.66 C92.58 -1.82, 92.98 -1.97, 93.68 -2.24 M93.68 -2.24 C94.21 -2.48, 94.74 -2.72, 95.14 -2.9 M93.68 -2.24 C94.14 -2.45, 94.61 -2.66, 95.14 -2.9 M95.14 -2.9 C95.46 -3.06, 95.77 -3.22, 96.56 -3.63 M95.14 -2.9 C95.55 -3.11, 95.95 -3.31, 96.56 -3.63 M96.56 -3.63 C96.86 -3.81, 97.17 -3.99, 97.94 -4.44 M96.56 -3.63 C96.88 -3.82, 97.2 -4, 97.94 -4.44 M97.94 -4.44 C98.36 -4.71, 98.78 -4.99, 99.26 -5.31 M97.94 -4.44 C98.4 -4.74, 98.86 -5.05, 99.26 -5.31 M99.26 -5.31 C99.6 -5.57, 99.95 -5.82, 100.54 -6.26 M99.26 -5.31 C99.74 -5.67, 100.21 -6.02, 100.54 -6.26 M100.54 -6.26 C100.86 -6.53, 101.19 -6.79, 101.76 -7.27 M100.54 -6.26 C100.91 -6.56, 101.28 -6.87, 101.76 -7.27 M101.76 -7.27 C102.07 -7.55, 102.37 -7.82, 102.93 -8.34 M101.76 -7.27 C102.03 -7.52, 102.3 -7.76, 102.93 -8.34 M102.93 -8.34 C103.77 -9.24, 104.6 -10.14, 105.1 -10.67 M102.93 -8.34 C103.49 -8.94, 104.04 -9.54, 105.1 -10.67 M105.1 -10.67 C104.43 -11.49, 103.75 -12.32, 102.89 -13.37 M105.1 -10.67 C104.41 -11.52, 103.71 -12.37, 102.89 -13.37 M102.89 -13.37 C102.4 -13.92, 101.9 -14.47, 100.54 -15.95 M102.89 -13.37 C102.21 -14.12, 101.53 -14.87, 100.54 -15.95 M100.54 -15.95 C99.6 -16.87, 98.66 -17.8, 98.05 -18.39 M100.54 -15.95 C99.93 -16.55, 99.31 -17.16, 98.05 -18.39 M98.05 -18.39 C97.06 -19.26, 96.07 -20.12, 95.43 -20.69 M98.05 -18.39 C97.14 -19.19, 96.22 -19.99, 95.43 -20.69 M95.43 -20.69 C94.86 -21.13, 94.29 -21.58, 92.68 -22.84 M95.43 -20.69 C94.68 -21.28, 93.93 -21.87, 92.68 -22.84 M92.68 -22.84 C91.74 -23.49, 90.8 -24.15, 89.82 -24.83 M92.68 -22.84 C91.69 -23.53, 90.7 -24.22, 89.82 -24.83 M89.82 -24.83 C88.68 -25.53, 87.55 -26.22, 86.83 -26.67 M89.82 -24.83 C88.77 -25.48, 87.72 -26.12, 86.83 -26.67 M86.83 -26.67 C86.16 -27.03, 85.5 -27.39, 83.74 -28.34 M86.83 -26.67 C86.02 -27.1, 85.22 -27.54, 83.74 -28.34 M83.74 -28.34 C82.99 -28.69, 82.24 -29.04, 80.55 -29.83 M83.74 -28.34 C82.93 -28.72, 82.11 -29.1, 80.55 -29.83 M80.55 -29.83 C79.89 -30.1, 79.22 -30.36, 77.26 -31.15 M80.55 -29.83 C79.75 -30.15, 78.96 -30.47, 77.26 -31.15 M77.26 -31.15 C75.98 -31.58, 74.71 -32, 73.88 -32.28 M77.26 -31.15 C76.31 -31.47, 75.37 -31.78, 73.88 -32.28 M73.88 -32.28 C72.66 -32.61, 71.44 -32.94, 70.42 -33.22 M73.88 -32.28 C72.83 -32.56, 71.79 -32.85, 70.42 -33.22 M70.42 -33.22 C69.12 -33.49, 67.83 -33.76, 66.88 -33.96 M70.42 -33.22 C69.23 -33.47, 68.04 -33.72, 66.88 -33.96 M66.88 -33.96 C65.64 -34.15, 64.4 -34.33, 63.27 -34.5 M66.88 -33.96 C66.07 -34.08, 65.26 -34.2, 63.27 -34.5 M63.27 -34.5 C62.47 -34.57, 61.67 -34.64, 59.59 -34.83 M63.27 -34.5 C62.35 -34.58, 61.44 -34.66, 59.59 -34.83 M59.59 -34.83 C58.25 -34.87, 56.91 -34.91, 55.86 -34.94 M59.59 -34.83 C58.64 -34.86, 57.69 -34.88, 55.86 -34.94 M55.86 -34.94 C55.16 -34.93, 54.45 -34.91, 53.57 -34.9 M55.86 -34.94 C55.25 -34.93, 54.64 -34.92, 53.57 -34.9 M53.57 -34.9 C52.68 -34.85, 51.79 -34.8, 51.3 -34.77 M53.57 -34.9 C53.08 -34.87, 52.6 -34.84, 51.3 -34.77 M51.3 -34.77 C50.1 -34.64, 48.9 -34.51, 46.82 -34.29 M51.3 -34.77 C49.73 -34.6, 48.17 -34.43, 46.82 -34.29 M46.82 -34.29 C45.34 -34.01, 43.85 -33.74, 42.45 -33.49 M46.82 -34.29 C45.16 -33.98, 43.5 -33.68, 42.45 -33.49 M42.45 -33.49 C41.21 -33.17, 39.97 -32.85, 38.19 -32.39 M42.45 -33.49 C41.27 -33.18, 40.08 -32.88, 38.19 -32.39 M38.19 -32.39 C36.91 -31.96, 35.62 -31.53, 34.05 -31 M38.19 -32.39 C37.33 -32.1, 36.47 -31.81, 34.05 -31 M34.05 -31 C33.16 -30.63, 32.27 -30.26, 30.05 -29.34 M34.05 -31 C32.66 -30.42, 31.27 -29.84, 30.05 -29.34 M30.05 -29.34 C28.83 -28.72, 27.6 -28.11, 26.2 -27.41 M30.05 -29.34 C29.24 -28.93, 28.42 -28.52, 26.2 -27.41 M26.2 -27.41 C25.19 -26.81, 24.18 -26.22, 22.5 -25.23 M26.2 -27.41 C25.19 -26.81, 24.19 -26.22, 22.5 -25.23 M22.5 -25.23 C21.14 -24.29, 19.78 -23.35, 18.98 -22.8 M22.5 -25.23 C21.52 -24.55, 20.54 -23.88, 18.98 -22.8 M18.98 -22.8 C17.96 -22, 16.95 -21.19, 15.63 -20.14 M18.98 -22.8 C18.03 -22.05, 17.09 -21.3, 15.63 -20.14 M15.63 -20.14 C14.86 -19.44, 14.09 -18.74, 12.48 -17.27 M15.63 -20.14 C14.5 -19.11, 13.37 -18.08, 12.48 -17.27 M12.48 -17.27 C11.49 -16.24, 10.5 -15.2, 9.53 -14.18 M12.48 -17.27 C11.81 -16.57, 11.14 -15.88, 9.53 -14.18 M9.53 -14.18 C8.9 -13.43, 8.27 -12.67, 6.79 -10.9 M9.53 -14.18 C8.51 -12.97, 7.5 -11.75, 6.79 -10.9 M6.79 -10.9 C6.17 -10.04, 5.55 -9.18, 4.29 -7.44 M6.79 -10.9 C6.12 -9.97, 5.45 -9.04, 4.29 -7.44 M4.29 -7.44 C3.4 -6.01, 2.5 -4.58, 2.02 -3.8 M4.29 -7.44 C3.6 -6.33, 2.91 -5.23, 2.02 -3.8 M2.02 -3.8 C1.45 -2.73, 0.88 -1.65, 0 0 M2.02 -3.8 C1.22 -2.31, 0.43 -0.81, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(657.9357149708312 451.58836744400344) rotate(0 -32.12325765160301 17.46898965159545)" fill-rule="evenodd"><path d="M0 0 L-79.21 0 L-80.28 4.21 L-81.07 8.54 L-81.55 12.96 L-81.67 15.2 L-81.72 17.47 L-81.67 19.73 L-81.55 21.98 L-81.07 26.4 L-80.28 30.72 L-79.21 34.94 L0 34.94 L1.76 34.85 L3.48 34.59 L5.14 34.16 L6.74 33.57 L8.27 32.84 L9.71 31.97 L11.06 30.97 L12.3 29.84 L13.44 28.6 L14.45 27.26 L15.33 25.82 L16.08 24.29 L16.67 22.68 L17.11 21.01 L17.38 19.26 L17.47 17.47 L17.38 15.67 L17.12 13.93 L16.69 12.25 L16.1 10.65 L15.37 9.12 L14.5 7.68 L13.5 6.33 L12.37 5.1 L11.14 3.97 L9.79 2.97 L8.35 2.1 L6.82 1.36 L5.22 0.78 L3.54 0.35 L1.8 0.09 L0 0" stroke="none" stroke-width="0" fill="#07A5DE" fill-rule="evenodd"></path><path d="M0 0 C-24.78 0, -49.56 0, -79.21 0 M0 0 C-23.71 0, -47.41 0, -79.21 0 M-79.21 0 C-79.44 0.9, -79.66 1.79, -80.28 4.21 M-79.21 0 C-79.47 1.02, -79.73 2.04, -80.28 4.21 M-80.28 4.21 C-80.48 5.31, -80.68 6.4, -81.07 8.54 M-80.28 4.21 C-80.5 5.41, -80.72 6.6, -81.07 8.54 M-81.07 8.54 C-81.21 9.84, -81.35 11.14, -81.55 12.96 M-81.07 8.54 C-81.24 10.06, -81.4 11.58, -81.55 12.96 M-81.55 12.96 C-81.58 13.55, -81.62 14.15, -81.67 15.2 M-81.55 12.96 C-81.59 13.68, -81.63 14.39, -81.67 15.2 M-81.67 15.2 C-81.69 15.84, -81.7 16.47, -81.72 17.47 M-81.67 15.2 C-81.68 15.75, -81.69 16.29, -81.72 17.47 M-81.72 17.47 C-81.7 18.09, -81.69 18.71, -81.67 19.73 M-81.72 17.47 C-81.71 17.95, -81.7 18.44, -81.67 19.73 M-81.67 19.73 C-81.63 20.48, -81.59 21.22, -81.55 21.98 M-81.67 19.73 C-81.64 20.32, -81.61 20.9, -81.55 21.98 M-81.55 21.98 C-81.4 23.34, -81.25 24.71, -81.07 26.4 M-81.55 21.98 C-81.45 22.91, -81.35 23.85, -81.07 26.4 M-81.07 26.4 C-80.78 28, -80.49 29.6, -80.28 30.72 M-81.07 26.4 C-80.79 27.93, -80.52 29.45, -80.28 30.72 M-80.28 30.72 C-80.06 31.6, -79.84 32.48, -79.21 34.94 M-80.28 30.72 C-79.93 32.12, -79.57 33.52, -79.21 34.94 M-79.21 34.94 C-49.32 34.94, -19.43 34.94, 0 34.94 M-79.21 34.94 C-48.77 34.94, -18.34 34.94, 0 34.94 M0 34.94 C0.56 34.91, 1.12 34.88, 1.76 34.85 M0 34.94 C0.46 34.91, 0.91 34.89, 1.76 34.85 M1.76 34.85 C2.26 34.77, 2.76 34.7, 3.48 34.59 M1.76 34.85 C2.17 34.79, 2.57 34.72, 3.48 34.59 M3.48 34.59 C4.14 34.42, 4.79 34.25, 5.14 34.16 M3.48 34.59 C3.9 34.48, 4.31 34.37, 5.14 34.16 M5.14 34.16 C5.63 33.98, 6.12 33.8, 6.74 33.57 M5.14 34.16 C5.64 33.98, 6.13 33.8, 6.74 33.57 M6.74 33.57 C7.19 33.36, 7.65 33.14, 8.27 32.84 M6.74 33.57 C7.08 33.41, 7.42 33.25, 8.27 32.84 M8.27 32.84 C8.8 32.52, 9.34 32.19, 9.71 31.97 M8.27 32.84 C8.58 32.65, 8.89 32.46, 9.71 31.97 M9.71 31.97 C10.1 31.67, 10.5 31.38, 11.06 30.97 M9.71 31.97 C10.06 31.7, 10.42 31.44, 11.06 30.97 M11.06 30.97 C11.44 30.62, 11.82 30.28, 12.3 29.84 M11.06 30.97 C11.43 30.63, 11.79 30.3, 12.3 29.84 M12.3 29.84 C12.72 29.39, 13.13 28.94, 13.44 28.6 M12.3 29.84 C12.68 29.43, 13.06 29.02, 13.44 28.6 M13.44 28.6 C13.71 28.24, 13.99 27.87, 14.45 27.26 M13.44 28.6 C13.74 28.2, 14.04 27.8, 14.45 27.26 M14.45 27.26 C14.71 26.83, 14.97 26.41, 15.33 25.82 M14.45 27.26 C14.76 26.76, 15.07 26.26, 15.33 25.82 M15.33 25.82 C15.56 25.36, 15.78 24.9, 16.08 24.29 M15.33 25.82 C15.55 25.38, 15.77 24.93, 16.08 24.29 M16.08 24.29 C16.3 23.68, 16.53 23.08, 16.67 22.68 M16.08 24.29 C16.26 23.81, 16.44 23.32, 16.67 22.68 M16.67 22.68 C16.83 22.06, 17 21.43, 17.11 21.01 M16.67 22.68 C16.83 22.08, 16.99 21.48, 17.11 21.01 M17.11 21.01 C17.19 20.46, 17.28 19.92, 17.38 19.26 M17.11 21.01 C17.2 20.4, 17.3 19.79, 17.38 19.26 M17.38 19.26 C17.41 18.67, 17.44 18.07, 17.47 17.47 M17.38 19.26 C17.41 18.72, 17.43 18.17, 17.47 17.47 M17.47 17.47 C17.44 16.92, 17.41 16.36, 17.38 15.67 M17.47 17.47 C17.44 16.9, 17.41 16.34, 17.38 15.67 M17.38 15.67 C17.28 15.01, 17.18 14.35, 17.12 13.93 M17.38 15.67 C17.29 15.06, 17.2 14.46, 17.12 13.93 M17.12 13.93 C16.95 13.29, 16.79 12.65, 16.69 12.25 M17.12 13.93 C16.95 13.28, 16.79 12.63, 16.69 12.25 M16.69 12.25 C16.47 11.66, 16.26 11.06, 16.1 10.65 M16.69 12.25 C16.55 11.88, 16.42 11.51, 16.1 10.65 M16.1 10.65 C15.92 10.26, 15.73 9.87, 15.37 9.12 M16.1 10.65 C15.94 10.3, 15.77 9.95, 15.37 9.12 M15.37 9.12 C15.09 8.65, 14.81 8.19, 14.5 7.68 M15.37 9.12 C15.11 8.68, 14.85 8.25, 14.5 7.68 M14.5 7.68 C14.24 7.32, 13.97 6.97, 13.5 6.33 M14.5 7.68 C14.24 7.33, 13.98 6.98, 13.5 6.33 M13.5 6.33 C13.15 5.95, 12.81 5.57, 12.37 5.1 M13.5 6.33 C13.24 6.05, 12.98 5.76, 12.37 5.1 M12.37 5.1 C12.07 4.82, 11.77 4.54, 11.14 3.97 M12.37 5.1 C11.91 4.67, 11.44 4.25, 11.14 3.97 M11.14 3.97 C10.65 3.61, 10.17 3.25, 9.79 2.97 M11.14 3.97 C10.72 3.66, 10.3 3.34, 9.79 2.97 M9.79 2.97 C9.43 2.75, 9.08 2.53, 8.35 2.1 M9.79 2.97 C9.45 2.76, 9.11 2.55, 8.35 2.1 M8.35 2.1 C7.8 1.83, 7.24 1.56, 6.82 1.36 M8.35 2.1 C7.82 1.84, 7.28 1.58, 6.82 1.36 M6.82 1.36 C6.46 1.23, 6.09 1.1, 5.22 0.78 M6.82 1.36 C6.23 1.15, 5.63 0.93, 5.22 0.78 M5.22 0.78 C4.59 0.62, 3.97 0.46, 3.54 0.35 M5.22 0.78 C4.6 0.62, 3.99 0.47, 3.54 0.35 M3.54 0.35 C2.93 0.26, 2.32 0.17, 1.8 0.09 M3.54 0.35 C3.07 0.28, 2.6 0.21, 1.8 0.09 M1.8 0.09 C1.29 0.06, 0.78 0.04, 0 0 M1.8 0.09 C1.26 0.06, 0.72 0.04, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(687.7800094178265 506.6324725339542) rotate(0 -52.65449138355518 7.067735099772165)" fill-rule="evenodd"><path d="M0 0 L-2.15 -2.27 L-4.53 -4.31 L-5.79 -5.23 L-7.11 -6.09 L-8.48 -6.87 L-9.88 -7.59 L-11.34 -8.22 L-12.83 -8.79 L-14.35 -9.27 L-15.92 -9.67 L-17.51 -9.99 L-19.14 -10.22 L-20.79 -10.35 L-22.47 -10.4 L-105.31 -10.4 L-103.29 -6.6 L-101.02 -2.96 L-98.51 0.5 L-95.78 3.78 L-92.83 6.87 L-89.68 9.74 L-86.33 12.4 L-82.81 14.82 L-79.11 17.01 L-75.26 18.94 L-71.26 20.6 L-67.12 21.99 L-62.86 23.08 L-58.49 23.88 L-54.01 24.37 L-51.74 24.5 L-49.45 24.54 L-45.69 24.42 L-42 24.09 L-38.36 23.55 L-34.8 22.8 L-31.32 21.85 L-27.93 20.7 L-24.62 19.37 L-21.41 17.86 L-18.31 16.17 L-15.31 14.31 L-12.43 12.3 L-9.67 10.12 L-7.05 7.8 L-4.55 5.33 L-2.2 2.73 L0 0" stroke="none" stroke-width="0" fill="#3EBEB0" fill-rule="evenodd"></path><path d="M0 0 C-0.76 -0.8, -1.52 -1.61, -2.15 -2.27 M0 0 C-0.72 -0.76, -1.44 -1.52, -2.15 -2.27 M-2.15 -2.27 C-2.87 -2.89, -3.6 -3.51, -4.53 -4.31 M-2.15 -2.27 C-2.75 -2.79, -3.36 -3.31, -4.53 -4.31 M-4.53 -4.31 C-4.8 -4.51, -5.07 -4.7, -5.79 -5.23 M-4.53 -4.31 C-4.92 -4.6, -5.32 -4.88, -5.79 -5.23 M-5.79 -5.23 C-6.22 -5.51, -6.65 -5.78, -7.11 -6.09 M-5.79 -5.23 C-6.15 -5.46, -6.5 -5.69, -7.11 -6.09 M-7.11 -6.09 C-7.54 -6.33, -7.98 -6.58, -8.48 -6.87 M-7.11 -6.09 C-7.5 -6.31, -7.89 -6.53, -8.48 -6.87 M-8.48 -6.87 C-8.98 -7.13, -9.48 -7.38, -9.88 -7.59 M-8.48 -6.87 C-8.82 -7.04, -9.16 -7.22, -9.88 -7.59 M-9.88 -7.59 C-10.18 -7.72, -10.48 -7.85, -11.34 -8.22 M-9.88 -7.59 C-10.43 -7.82, -10.97 -8.06, -11.34 -8.22 M-11.34 -8.22 C-11.73 -8.37, -12.12 -8.52, -12.83 -8.79 M-11.34 -8.22 C-11.89 -8.43, -12.45 -8.64, -12.83 -8.79 M-12.83 -8.79 C-13.26 -8.93, -13.7 -9.06, -14.35 -9.27 M-12.83 -8.79 C-13.17 -8.89, -13.51 -9, -14.35 -9.27 M-14.35 -9.27 C-14.7 -9.36, -15.04 -9.45, -15.92 -9.67 M-14.35 -9.27 C-14.85 -9.4, -15.35 -9.52, -15.92 -9.67 M-15.92 -9.67 C-16.43 -9.77, -16.95 -9.87, -17.51 -9.99 M-15.92 -9.67 C-16.37 -9.76, -16.83 -9.85, -17.51 -9.99 M-17.51 -9.99 C-17.84 -10.03, -18.17 -10.08, -19.14 -10.22 M-17.51 -9.99 C-18.01 -10.06, -18.51 -10.13, -19.14 -10.22 M-19.14 -10.22 C-19.69 -10.26, -20.24 -10.31, -20.79 -10.35 M-19.14 -10.22 C-19.7 -10.26, -20.26 -10.31, -20.79 -10.35 M-20.79 -10.35 C-21.29 -10.37, -21.78 -10.38, -22.47 -10.4 M-20.79 -10.35 C-21.19 -10.37, -21.59 -10.38, -22.47 -10.4 M-22.47 -10.4 C-46.94 -10.4, -71.42 -10.4, -105.31 -10.4 M-22.47 -10.4 C-53.54 -10.4, -84.61 -10.4, -105.31 -10.4 M-105.31 -10.4 C-104.51 -8.89, -103.71 -7.38, -103.29 -6.6 M-105.31 -10.4 C-104.56 -9, -103.82 -7.59, -103.29 -6.6 M-103.29 -6.6 C-102.73 -5.7, -102.17 -4.8, -101.02 -2.96 M-103.29 -6.6 C-102.61 -5.5, -101.92 -4.41, -101.02 -2.96 M-101.02 -2.96 C-100.25 -1.89, -99.48 -0.82, -98.51 0.5 M-101.02 -2.96 C-100.43 -2.15, -99.84 -1.33, -98.51 0.5 M-98.51 0.5 C-97.47 1.76, -96.43 3.01, -95.78 3.78 M-98.51 0.5 C-97.85 1.3, -97.18 2.11, -95.78 3.78 M-95.78 3.78 C-95.07 4.52, -94.37 5.26, -92.83 6.87 M-95.78 3.78 C-94.81 4.8, -93.83 5.82, -92.83 6.87 M-92.83 6.87 C-91.73 7.88, -90.62 8.89, -89.68 9.74 M-92.83 6.87 C-92.05 7.58, -91.27 8.29, -89.68 9.74 M-89.68 9.74 C-88.64 10.56, -87.61 11.39, -86.33 12.4 M-89.68 9.74 C-88.94 10.33, -88.2 10.92, -86.33 12.4 M-86.33 12.4 C-85.05 13.28, -83.77 14.16, -82.81 14.82 M-86.33 12.4 C-85.02 13.3, -83.71 14.2, -82.81 14.82 M-82.81 14.82 C-81.91 15.35, -81.01 15.88, -79.11 17.01 M-82.81 14.82 C-81.93 15.34, -81.05 15.86, -79.11 17.01 M-79.11 17.01 C-78.01 17.56, -76.9 18.11, -75.26 18.94 M-79.11 17.01 C-77.59 17.77, -76.07 18.53, -75.26 18.94 M-75.26 18.94 C-74.16 19.39, -73.07 19.85, -71.26 20.6 M-75.26 18.94 C-73.74 19.57, -72.23 20.2, -71.26 20.6 M-71.26 20.6 C-69.82 21.08, -68.39 21.56, -67.12 21.99 M-71.26 20.6 C-69.97 21.03, -68.69 21.46, -67.12 21.99 M-67.12 21.99 C-66.08 22.25, -65.05 22.52, -62.86 23.08 M-67.12 21.99 C-66.22 22.22, -65.32 22.45, -62.86 23.08 M-62.86 23.08 C-61.88 23.26, -60.9 23.44, -58.49 23.88 M-62.86 23.08 C-61.85 23.27, -60.84 23.45, -58.49 23.88 M-58.49 23.88 C-57.14 24.03, -55.8 24.18, -54.01 24.37 M-58.49 23.88 C-56.84 24.06, -55.2 24.24, -54.01 24.37 M-54.01 24.37 C-53.19 24.42, -52.37 24.46, -51.74 24.5 M-54.01 24.37 C-53.36 24.41, -52.71 24.44, -51.74 24.5 M-51.74 24.5 C-51.27 24.5, -50.81 24.51, -49.45 24.54 M-51.74 24.5 C-51.17 24.51, -50.6 24.52, -49.45 24.54 M-49.45 24.54 C-48.48 24.51, -47.52 24.48, -45.69 24.42 M-49.45 24.54 C-48.23 24.5, -47.01 24.46, -45.69 24.42 M-45.69 24.42 C-44.89 24.35, -44.1 24.28, -42 24.09 M-45.69 24.42 C-44.5 24.32, -43.31 24.21, -42 24.09 M-42 24.09 C-40.67 23.89, -39.34 23.7, -38.36 23.55 M-42 24.09 C-41.24 23.98, -40.49 23.87, -38.36 23.55 M-38.36 23.55 C-37.61 23.39, -36.86 23.23, -34.8 22.8 M-38.36 23.55 C-37.57 23.38, -36.78 23.22, -34.8 22.8 M-34.8 22.8 C-34.1 22.61, -33.39 22.41, -31.32 21.85 M-34.8 22.8 C-33.71 22.5, -32.62 22.2, -31.32 21.85 M-31.32 21.85 C-30.07 21.43, -28.81 21, -27.93 20.7 M-31.32 21.85 C-30.47 21.56, -29.62 21.27, -27.93 20.7 M-27.93 20.7 C-27.13 20.38, -26.33 20.06, -24.62 19.37 M-27.93 20.7 C-27.11 20.38, -26.3 20.05, -24.62 19.37 M-24.62 19.37 C-23.72 18.95, -22.83 18.53, -21.41 17.86 M-24.62 19.37 C-23.73 18.95, -22.84 18.53, -21.41 17.86 M-21.41 17.86 C-20.76 17.51, -20.12 17.16, -18.31 16.17 M-21.41 17.86 C-20.43 17.33, -19.45 16.79, -18.31 16.17 M-18.31 16.17 C-17.6 15.73, -16.89 15.29, -15.31 14.31 M-18.31 16.17 C-17.59 15.73, -16.88 15.28, -15.31 14.31 M-15.31 14.31 C-14.18 13.52, -13.05 12.73, -12.43 12.3 M-15.31 14.31 C-14.57 13.79, -13.83 13.28, -12.43 12.3 M-12.43 12.3 C-11.48 11.54, -10.52 10.79, -9.67 10.12 M-12.43 12.3 C-11.78 11.78, -11.12 11.26, -9.67 10.12 M-9.67 10.12 C-8.78 9.33, -7.89 8.54, -7.05 7.8 M-9.67 10.12 C-8.83 9.38, -7.99 8.64, -7.05 7.8 M-7.05 7.8 C-6.5 7.26, -5.96 6.72, -4.55 5.33 M-7.05 7.8 C-6.44 7.2, -5.83 6.59, -4.55 5.33 M-4.55 5.33 C-3.72 4.41, -2.89 3.5, -2.2 2.73 M-4.55 5.33 C-3.68 4.37, -2.81 3.41, -2.2 2.73 M-2.2 2.73 C-1.6 1.98, -1 1.24, 0 0 M-2.2 2.73 C-1.33 1.65, -0.45 0.56, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(578.7280486101472 451.58836744400344) rotate(0 25.733383657070817 17.46898965159545)" fill-rule="evenodd"><path d="M0 0 L-1.08 4.21 L-1.86 8.54 L-2.34 12.96 L-2.47 15.2 L-2.51 17.47 L-2.47 19.73 L-2.34 21.98 L-1.86 26.4 L-1.08 30.72 L0 34.94 L51.84 34.94 L52.75 30.9 L53.42 26.64 L53.66 24.43 L53.83 22.16 L53.94 19.84 L53.97 17.47 L53.94 15.09 L53.83 12.77 L53.66 10.51 L53.42 8.3 L52.75 4.04 L51.84 0 L0 0" stroke="none" stroke-width="0" fill="#231F20" fill-rule="evenodd"></path><path d="M0 0 C-0.29 1.15, -0.59 2.3, -1.08 4.21 M0 0 C-0.37 1.46, -0.75 2.92, -1.08 4.21 M-1.08 4.21 C-1.3 5.43, -1.52 6.64, -1.86 8.54 M-1.08 4.21 C-1.24 5.1, -1.4 5.99, -1.86 8.54 M-1.86 8.54 C-2.04 10.12, -2.21 11.71, -2.34 12.96 M-1.86 8.54 C-2.03 10.05, -2.19 11.57, -2.34 12.96 M-2.34 12.96 C-2.38 13.58, -2.41 14.19, -2.47 15.2 M-2.34 12.96 C-2.39 13.71, -2.43 14.47, -2.47 15.2 M-2.47 15.2 C-2.48 15.95, -2.49 16.7, -2.51 17.47 M-2.47 15.2 C-2.48 15.94, -2.49 16.68, -2.51 17.47 M-2.51 17.47 C-2.5 18.12, -2.48 18.76, -2.47 19.73 M-2.51 17.47 C-2.5 18.02, -2.49 18.58, -2.47 19.73 M-2.47 19.73 C-2.42 20.6, -2.37 21.47, -2.34 21.98 M-2.47 19.73 C-2.43 20.48, -2.39 21.23, -2.34 21.98 M-2.34 21.98 C-2.2 23.3, -2.06 24.63, -1.86 26.4 M-2.34 21.98 C-2.17 23.59, -1.99 25.19, -1.86 26.4 M-1.86 26.4 C-1.6 27.83, -1.34 29.26, -1.08 30.72 M-1.86 26.4 C-1.57 27.98, -1.29 29.56, -1.08 30.72 M-1.08 30.72 C-0.69 32.25, -0.3 33.78, 0 34.94 M-1.08 30.72 C-0.82 31.75, -0.55 32.77, 0 34.94 M0 34.94 C14.2 34.94, 28.41 34.94, 51.84 34.94 M0 34.94 C15.35 34.94, 30.71 34.94, 51.84 34.94 M51.84 34.94 C52.09 33.82, 52.34 32.71, 52.75 30.9 M51.84 34.94 C52.06 33.94, 52.29 32.93, 52.75 30.9 M52.75 30.9 C52.97 29.47, 53.2 28.04, 53.42 26.64 M52.75 30.9 C52.99 29.36, 53.23 27.82, 53.42 26.64 M53.42 26.64 C53.49 25.97, 53.56 25.3, 53.66 24.43 M53.42 26.64 C53.48 26.06, 53.54 25.47, 53.66 24.43 M53.66 24.43 C53.72 23.65, 53.78 22.87, 53.83 22.16 M53.66 24.43 C53.7 23.82, 53.75 23.21, 53.83 22.16 M53.83 22.16 C53.86 21.56, 53.89 20.95, 53.94 19.84 M53.83 22.16 C53.87 21.25, 53.92 20.34, 53.94 19.84 M53.94 19.84 C53.95 19.05, 53.96 18.26, 53.97 17.47 M53.94 19.84 C53.95 19.16, 53.96 18.48, 53.97 17.47 M53.97 17.47 C53.97 16.93, 53.96 16.39, 53.94 15.09 M53.97 17.47 C53.97 16.87, 53.96 16.28, 53.94 15.09 M53.94 15.09 C53.91 14.52, 53.89 13.95, 53.83 12.77 M53.94 15.09 C53.9 14.26, 53.86 13.43, 53.83 12.77 M53.83 12.77 C53.79 12.24, 53.75 11.7, 53.66 10.51 M53.83 12.77 C53.78 12.15, 53.74 11.53, 53.66 10.51 M53.66 10.51 C53.6 9.99, 53.54 9.47, 53.42 8.3 M53.66 10.51 C53.56 9.65, 53.47 8.8, 53.42 8.3 M53.42 8.3 C53.16 6.68, 52.91 5.06, 52.75 4.04 M53.42 8.3 C53.27 7.37, 53.13 6.45, 52.75 4.04 M52.75 4.04 C52.42 2.6, 52.1 1.16, 51.84 0 M52.75 4.04 C52.43 2.63, 52.11 1.22, 51.84 0 M51.84 0 C35.82 0, 19.79 0, 0 0 M51.84 0 C38.98 0, 26.13 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(607.081965345269 415.2916196245384) rotate(0 -1.7470523610616056 13.295936629886455)" fill-rule="evenodd"><path d="M0 0 L-3.85 2.47 L-7.51 5.22 L-10.97 8.23 L-14.22 11.48 L-17.23 14.95 L-19.98 18.64 L-21.26 20.56 L-22.46 22.53 L-23.59 24.54 L-24.65 26.59 L21.16 26.59 L19.28 22.67 L17.17 18.92 L14.82 15.33 L12.25 11.91 L9.47 8.67 L6.5 5.6 L3.34 2.71 L0 0" stroke="none" stroke-width="0" fill="#D7A229" fill-rule="evenodd"></path><path d="M0 0 C-1.07 0.69, -2.14 1.37, -3.85 2.47 M0 0 C-1.3 0.83, -2.6 1.67, -3.85 2.47 M-3.85 2.47 C-4.98 3.32, -6.11 4.17, -7.51 5.22 M-3.85 2.47 C-4.91 3.27, -5.98 4.07, -7.51 5.22 M-7.51 5.22 C-8.46 6.04, -9.41 6.87, -10.97 8.23 M-7.51 5.22 C-8.72 6.27, -9.94 7.33, -10.97 8.23 M-10.97 8.23 C-12.02 9.28, -13.07 10.33, -14.22 11.48 M-10.97 8.23 C-11.63 8.88, -12.29 9.54, -14.22 11.48 M-14.22 11.48 C-15.19 12.6, -16.16 13.72, -17.23 14.95 M-14.22 11.48 C-15.33 12.76, -16.44 14.04, -17.23 14.95 M-17.23 14.95 C-18.01 16.01, -18.8 17.06, -19.98 18.64 M-17.23 14.95 C-18.12 16.15, -19.01 17.34, -19.98 18.64 M-19.98 18.64 C-20.36 19.21, -20.73 19.77, -21.26 20.56 M-19.98 18.64 C-20.38 19.25, -20.79 19.86, -21.26 20.56 M-21.26 20.56 C-21.66 21.22, -22.06 21.87, -22.46 22.53 M-21.26 20.56 C-21.62 21.15, -21.98 21.73, -22.46 22.53 M-22.46 22.53 C-22.71 22.96, -22.95 23.39, -23.59 24.54 M-22.46 22.53 C-22.84 23.2, -23.22 23.88, -23.59 24.54 M-23.59 24.54 C-23.82 24.97, -24.04 25.4, -24.65 26.59 M-23.59 24.54 C-23.95 25.24, -24.32 25.94, -24.65 26.59 M-24.65 26.59 C-7.53 26.59, 9.58 26.59, 21.16 26.59 M-24.65 26.59 C-11.52 26.59, 1.61 26.59, 21.16 26.59 M21.16 26.59 C20.46 25.14, 19.77 23.68, 19.28 22.67 M21.16 26.59 C20.54 25.29, 19.91 23.99, 19.28 22.67 M19.28 22.67 C18.84 21.87, 18.39 21.08, 17.17 18.92 M19.28 22.67 C18.77 21.76, 18.25 20.84, 17.17 18.92 M17.17 18.92 C16.52 17.93, 15.88 16.95, 14.82 15.33 M17.17 18.92 C16.42 17.78, 15.68 16.64, 14.82 15.33 M14.82 15.33 C14.22 14.53, 13.63 13.74, 12.25 11.91 M14.82 15.33 C14.31 14.64, 13.79 13.96, 12.25 11.91 M12.25 11.91 C11.45 10.98, 10.65 10.05, 9.47 8.67 M12.25 11.91 C11.66 11.22, 11.07 10.53, 9.47 8.67 M9.47 8.67 C8.6 7.77, 7.72 6.86, 6.5 5.6 M9.47 8.67 C8.38 7.54, 7.28 6.41, 6.5 5.6 M6.5 5.6 C5.27 4.48, 4.05 3.36, 3.34 2.71 M6.5 5.6 C5.55 4.74, 4.61 3.87, 3.34 2.71 M3.34 2.71 C2.29 1.86, 1.24 1.01, 0 0 M3.34 2.71 C2.42 1.97, 1.51 1.22, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(609.0229841439786 523.7935366397174) rotate(0 -3.0086422252335865 -13.781180939703233)" fill-rule="evenodd"><path d="M0 0 L3.26 -2.8 L6.35 -5.81 L9.26 -9.01 L11.96 -12.4 L14.46 -15.96 L16.73 -19.68 L18.77 -23.55 L20.57 -27.56 L-26.59 -27.56 L-25.46 -25.4 L-24.25 -23.29 L-22.96 -21.23 L-21.59 -19.22 L-20.15 -17.26 L-18.64 -15.36 L-17.06 -13.52 L-15.41 -11.74 L-13.69 -10.03 L-11.91 -8.38 L-10.07 -6.8 L-8.17 -5.29 L-6.21 -3.85 L-4.19 -2.49 L-2.12 -1.21 L0 0" stroke="none" stroke-width="0" fill="#019B8F" fill-rule="evenodd"></path><path d="M0 0 C1.07 -0.91, 2.13 -1.83, 3.26 -2.8 M0 0 C0.75 -0.64, 1.49 -1.28, 3.26 -2.8 M3.26 -2.8 C4.17 -3.68, 5.07 -4.56, 6.35 -5.81 M3.26 -2.8 C3.89 -3.41, 4.51 -4.01, 6.35 -5.81 M6.35 -5.81 C7.41 -6.97, 8.46 -8.14, 9.26 -9.01 M6.35 -5.81 C7.17 -6.71, 7.98 -7.6, 9.26 -9.01 M9.26 -9.01 C9.87 -9.78, 10.49 -10.55, 11.96 -12.4 M9.26 -9.01 C9.97 -9.9, 10.68 -10.79, 11.96 -12.4 M11.96 -12.4 C12.89 -13.72, 13.82 -15.05, 14.46 -15.96 M11.96 -12.4 C12.82 -13.62, 13.68 -14.85, 14.46 -15.96 M14.46 -15.96 C14.94 -16.75, 15.43 -17.54, 16.73 -19.68 M14.46 -15.96 C15.23 -17.22, 16 -18.49, 16.73 -19.68 M16.73 -19.68 C17.39 -20.93, 18.05 -22.18, 18.77 -23.55 M16.73 -19.68 C17.16 -20.48, 17.58 -21.29, 18.77 -23.55 M18.77 -23.55 C19.42 -24.99, 20.07 -26.43, 20.57 -27.56 M18.77 -23.55 C19.26 -24.63, 19.74 -25.7, 20.57 -27.56 M20.57 -27.56 C6.82 -27.56, -6.94 -27.56, -26.59 -27.56 M20.57 -27.56 C5.17 -27.56, -10.23 -27.56, -26.59 -27.56 M-26.59 -27.56 C-26.21 -26.84, -25.84 -26.12, -25.46 -25.4 M-26.59 -27.56 C-26.26 -26.92, -25.92 -26.28, -25.46 -25.4 M-25.46 -25.4 C-25.02 -24.63, -24.58 -23.86, -24.25 -23.29 M-25.46 -25.4 C-25.07 -24.72, -24.68 -24.04, -24.25 -23.29 M-24.25 -23.29 C-23.91 -22.74, -23.57 -22.2, -22.96 -21.23 M-24.25 -23.29 C-23.73 -22.47, -23.22 -21.65, -22.96 -21.23 M-22.96 -21.23 C-22.5 -20.55, -22.04 -19.88, -21.59 -19.22 M-22.96 -21.23 C-22.57 -20.65, -22.17 -20.08, -21.59 -19.22 M-21.59 -19.22 C-21.25 -18.76, -20.92 -18.3, -20.15 -17.26 M-21.59 -19.22 C-21.08 -18.53, -20.58 -17.84, -20.15 -17.26 M-20.15 -17.26 C-19.84 -16.88, -19.54 -16.49, -18.64 -15.36 M-20.15 -17.26 C-19.74 -16.74, -19.33 -16.22, -18.64 -15.36 M-18.64 -15.36 C-18.03 -14.65, -17.41 -13.94, -17.06 -13.52 M-18.64 -15.36 C-18.22 -14.87, -17.8 -14.38, -17.06 -13.52 M-17.06 -13.52 C-16.6 -13.03, -16.14 -12.54, -15.41 -11.74 M-17.06 -13.52 C-16.72 -13.15, -16.37 -12.79, -15.41 -11.74 M-15.41 -11.74 C-15.02 -11.36, -14.64 -10.98, -13.69 -10.03 M-15.41 -11.74 C-14.97 -11.3, -14.53 -10.86, -13.69 -10.03 M-13.69 -10.03 C-13.2 -9.58, -12.72 -9.13, -11.91 -8.38 M-13.69 -10.03 C-13.02 -9.4, -12.34 -8.78, -11.91 -8.38 M-11.91 -8.38 C-11.36 -7.91, -10.81 -7.44, -10.07 -6.8 M-11.91 -8.38 C-11.24 -7.8, -10.57 -7.23, -10.07 -6.8 M-10.07 -6.8 C-9.66 -6.47, -9.24 -6.14, -8.17 -5.29 M-10.07 -6.8 C-9.41 -6.27, -8.75 -5.75, -8.17 -5.29 M-8.17 -5.29 C-7.52 -4.82, -6.88 -4.34, -6.21 -3.85 M-8.17 -5.29 C-7.7 -4.94, -7.23 -4.6, -6.21 -3.85 M-6.21 -3.85 C-5.52 -3.39, -4.84 -2.92, -4.19 -2.49 M-6.21 -3.85 C-5.73 -3.53, -5.25 -3.2, -4.19 -2.49 M-4.19 -2.49 C-3.59 -2.12, -2.99 -1.74, -2.12 -1.21 M-4.19 -2.49 C-3.66 -2.16, -3.13 -1.83, -2.12 -1.21 M-2.12 -1.21 C-1.31 -0.74, -0.5 -0.28, 0 0 M-2.12 -1.21 C-1.61 -0.91, -1.09 -0.62, 0 0 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#00000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(92.13197081509907 252.06883794647467) rotate(0 35.339290345615666 53.6254093970546)"><path d="M0.09 -0.06 L69.26 1.96 L72.29 107.02 L-0.12 108.83" stroke="none" stroke-width="0" fill="#fff"></path><path d="M0.44 -0.54 C27.12 1.04, 55.56 0.7, 72.45 1.95 M0.63 -0.04 C28.62 0, 56.56 0.22, 69.78 -0.89 M71.86 1.85 C70.15 30.68, 71.25 56.62, 68.69 107.36 M70.59 0.84 C70.6 42.98, 70.62 85.6, 69.99 106.47 M70.44 108.4 C51.67 108.26, 30.4 104.89, 1.99 108.02 M71.23 107.75 C49.98 107.29, 31.18 107.25, 0.27 106.69 M-1.2 109.15 C1.59 83.14, -0.13 55.18, 0.62 -0.05 M-0.95 107.52 C0.63 78.38, -0.12 49.79, 0.24 -0.29" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(84.58453777938485 245.04874866076034) rotate(0 35.339290345615666 53.6254093970546)"><path d="M-1.42 1.96 L72.29 -0.23 L70.55 108.83 L1.7 107.08" stroke="none" stroke-width="0" fill="#fff"></path><path d="M-0.05 1.57 C27.72 1.42, 54.76 2.14, 72.56 -1.97 M0.79 -0.36 C18.48 -0.11, 34.29 -0.86, 70.4 -0.76 M70.96 1.48 C72.7 24.82, 69.32 53.3, 72.59 108.76 M69.79 0.54 C69.72 29.74, 69.89 57.25, 70.54 108.16 M71.91 108.78 C54.83 105.81, 40.59 108.42, -0.34 106.25 M69.98 107.21 C49.2 107.52, 26.97 107.04, -0.66 106.6 M0.89 108.24 C-0.19 78.38, 1.26 53.19, -0.65 0.52 M0.91 107.05 C1.17 70.17, 1.25 33.03, 0.05 -0.03" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(75.18944849366949 236.79484241076057) rotate(0 35.339290345615666 53.6254093970546)"><path d="M1.61 -0.23 L70.55 1.58 L72.38 107.08 L-0.23 106.79" stroke="none" stroke-width="0" fill="#fff"></path><path d="M1.23 1.23 C21.06 1.39, 40.47 -2.52, 69.66 1.26 M0.89 -0.14 C20.01 -0.64, 41.54 -0.5, 70.16 0.59 M72.06 -1.77 C68.84 42.19, 72.74 85.65, 70.09 107.08 M69.81 0.72 C69.04 40.4, 69.59 83.28, 69.95 107.13 M70.86 105.41 C47.39 108.56, 19.79 106.79, 0.22 108.35 M71.19 107.17 C46.23 106.66, 20.58 106.57, -0.48 106.65 M-0.83 105.39 C0.14 64.84, -1.13 23.05, 0.89 -1.9 M0.16 107.13 C-0.74 71.93, -0.93 37.16, -0.71 0.98" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(87.17587508058045 285.5420794581132) rotate(0 23.667558884955383 -1.0514331324956174)"><path d="M0.74 1.06 C7.51 1.15, 34.15 2.08, 41.59 1.28 C49.04 0.49, 44.44 -2.97, 45.4 -3.71 M-0.34 0.57 C6.3 0.29, 33.26 0.3, 41.26 -0.25 C49.26 -0.79, 46.55 -2.41, 47.67 -2.71" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(89.03112731859483 254.0767921592747) rotate(0 23.32203128485739 -1.1529509167098695)"><path d="M1.17 1.13 C3.65 0.38, 8.13 -3.17, 15.65 -3.42 C23.18 -3.67, 41.18 -0.82, 46.32 -0.38 M0.32 0.67 C3.09 0.59, 10.14 -2.24, 17.74 -2.2 C25.35 -2.16, 41.03 0.53, 45.95 0.91" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(88.95452780222536 321.47116642963186) rotate(0 24.110857685447144 0.44503043539461373)"><path d="M-1.18 -0.61 C3.15 -0.85, 20.54 -0.72, 27.17 -0.31 C33.79 0.11, 34.86 2.19, 38.56 1.88 C42.27 1.58, 47.95 -1.32, 49.4 -2.14 M0.4 1.68 C4.54 2.15, 20.3 0.99, 26.61 1.21 C32.93 1.42, 34.97 3.36, 38.29 2.98 C41.62 2.59, 44.78 -0.09, 46.55 -1.12" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(85.77048062069503 332.71431483791065) rotate(0 27.889072697807137 -1.4455067595162916)"><path d="M0.75 -0.05 C2.8 -0.21, 8.37 -1.44, 11.11 -1.6 C13.85 -1.76, 11.52 -1.2, 17.2 -1.01 C22.88 -0.82, 39.04 -0.09, 45.19 -0.46 C51.33 -0.82, 52.64 -3.02, 54.07 -3.21 M-0.31 -1.12 C1.77 -1.07, 7.77 -0.51, 10.66 -0.29 C13.54 -0.06, 11.29 0.15, 16.99 0.21 C22.69 0.28, 38.36 0.67, 44.87 0.09 C51.39 -0.5, 54.42 -2.9, 56.09 -3.29" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(86.05532351626084 269.13739371253587) rotate(0 24.083505313477076 -0.06467942786443359)"><path d="M0.94 -0.43 C4.03 -0.55, 11.78 -0.97, 19.26 -0.76 C26.75 -0.55, 41.3 0.53, 45.86 0.82 M-0.02 -1.7 C2.93 -1.63, 10.84 0.14, 18.87 0.68 C26.91 1.23, 43.55 1.42, 48.19 1.57" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(86.16281171241121 303.6207227483755) rotate(0 23.235779906722314 0.5222952511035714)"><path d="M1.07 -0.17 C2.08 -0.04, 4.22 0.58, 7.02 0.36 C9.82 0.14, 11.31 -1.87, 17.86 -1.5 C24.41 -1.13, 41.27 2, 46.3 2.59 M0.17 -1.31 C1.46 -1.03, 6.38 1.23, 9.17 1.34 C11.96 1.44, 10.74 -0.51, 16.92 -0.66 C23.09 -0.82, 41.18 -0.13, 46.22 0.41" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(228 263.55724957567224) rotate(0 62 41.5)"><path d="M20.75 0 M20.75 0 C48.52 -1.06, 76.77 -0.64, 103.25 0 M20.75 0 C51.91 -0.3, 82.82 1.06, 103.25 0 M103.25 0 C116.06 0.54, 123.56 5.26, 124 20.75 M103.25 0 C119.18 0.44, 125.49 8.28, 124 20.75 M124 20.75 C125.78 30.96, 124.71 41.69, 124 62.25 M124 20.75 C124.17 33.07, 123.82 47.64, 124 62.25 M124 62.25 C123.29 77.81, 117.9 83.66, 103.25 83 M124 62.25 C124.88 76.73, 115.16 81.68, 103.25 83 M103.25 83 C71.52 84.4, 37.64 83.17, 20.75 83 M103.25 83 C75.58 82, 47.68 82.9, 20.75 83 M20.75 83 C5.5 82.94, 0.83 74.85, 0 62.25 M20.75 83 C8.5 84.15, -1.31 76.25, 0 62.25 M0 62.25 C0.94 54.44, 1.69 42.49, 0 20.75 M0 62.25 C-0.11 48.21, -0.28 34.92, 0 20.75 M0 20.75 C-0.38 6.63, 7.4 -0.66, 20.75 0 M0 20.75 C-1.62 8.76, 9.06 -0.84, 20.75 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(252.47999954223633 287.55724957567224) rotate(0 37.52000045776367 17.5)"><text x="37.52000045776367" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">parse</text></g><g stroke-linecap="round" transform="translate(396 261.05724957567224) rotate(0 62 41.5)"><path d="M20.75 0 M20.75 0 C36.8 0.24, 55.23 1.12, 103.25 0 M20.75 0 C46.92 0.16, 73.02 -1.56, 103.25 0 M103.25 0 C115.4 0.49, 124.3 6.59, 124 20.75 M103.25 0 C118.35 2.14, 122.14 5.27, 124 20.75 M124 20.75 C123.09 30.74, 125.65 40.77, 124 62.25 M124 20.75 C124.48 32.7, 123.85 43.01, 124 62.25 M124 62.25 C125.95 75.25, 118.51 84.72, 103.25 83 M124 62.25 C121.91 76.85, 115.68 84.36, 103.25 83 M103.25 83 C85.04 80.37, 64.87 83.92, 20.75 83 M103.25 83 C81.3 82.3, 59.59 82.3, 20.75 83 M20.75 83 C5.94 84.82, -0.65 77.15, 0 62.25 M20.75 83 C7.25 80.78, 1.27 77.03, 0 62.25 M0 62.25 C-1.43 53.04, -1.12 39.64, 0 20.75 M0 62.25 C-0.07 51.74, 0.08 42.66, 0 20.75 M0 20.75 C-0.16 7.77, 8.64 1.02, 20.75 0 M0 20.75 C0.44 6.13, 8.76 2.03, 20.75 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(418.7439994812012 285.05724957567224) rotate(0 39.25600051879883 17.5)"><text x="39.25600051879883" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">embed</text></g><g stroke-linecap="round" transform="translate(565 256.05724957567224) rotate(0 62 41.5)"><path d="M20.75 0 M20.75 0 C44.39 -0.92, 68.86 1.63, 103.25 0 M20.75 0 C52.18 -0.13, 81.49 0.84, 103.25 0 M103.25 0 C115.8 -1.87, 123.68 7.4, 124 20.75 M103.25 0 C118.18 -1.49, 124.44 7.84, 124 20.75 M124 20.75 C124.39 30.97, 123.09 39.69, 124 62.25 M124 20.75 C123.33 32.05, 124.71 44.9, 124 62.25 M124 62.25 C125.99 75.77, 116.96 82.68, 103.25 83 M124 62.25 C124.11 74.86, 116.25 82.12, 103.25 83 M103.25 83 C77.52 81.94, 51.1 81.83, 20.75 83 M103.25 83 C77.07 82.32, 49.36 82.71, 20.75 83 M20.75 83 C8.86 83.64, -1.54 76.52, 0 62.25 M20.75 83 C7.87 83.25, 0.32 76.92, 0 62.25 M0 62.25 C0.2 49.95, -0.63 38.77, 0 20.75 M0 62.25 C1.26 51.34, 0.44 40.5, 0 20.75 M0 20.75 C1.14 5.09, 5.15 1.94, 20.75 0 M0 20.75 C-2.12 5.57, 7.52 -0.33, 20.75 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(573.2679977416992 262.55724957567224) rotate(0 53.73200225830078 35)"><text x="53.73200225830078" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">extract</text><text x="53.73200225830078" y="35" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">tags</text></g><g transform="translate(10 196.55724957567224) rotate(0 116.87199401855469 17.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Articles dataset</text></g><g stroke-linecap="round"><g transform="translate(167 297.15236202392344) rotate(0 27.751100618634382 0.7094619475204524)"><path d="M0.59 -0.9 C9.84 -0.88, 46.63 0.62, 56.06 0.75 M-0.56 1.25 C8.49 1.42, 45.55 2.4, 55.15 2.31" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(167 297.15236202392344) rotate(0 27.751100618634382 0.7094619475204524)"><path d="M27.24 11.71 C37.87 10.25, 45.47 3.79, 55.44 3.88 M28.8 10.82 C37.31 7.25, 48.79 4.88, 55.26 2.49" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(167 297.15236202392344) rotate(0 27.751100618634382 0.7094619475204524)"><path d="M27.45 -7.45 C38.11 -2.3, 45.64 -2.16, 55.44 3.88 M29.01 -8.34 C37.59 -4.91, 48.99 -0.29, 55.26 2.49" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(354 300.55724957567224) rotate(0 16.749277484789502 0.9404585450235743)"><path d="M-0.86 1.01 C5.02 1.23, 28.52 0.31, 34.36 0.14 M0.88 0.5 C6.72 1.04, 28.16 1.62, 33.6 1.74" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(354 300.55724957567224) rotate(0 16.749277484789502 0.9404585450235743)"><path d="M18.91 7.65 C21.3 6.35, 24.62 4.24, 34.43 0.74 M18.09 7.75 C22.52 5.64, 28.07 3.15, 33.42 2.5" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(354 300.55724957567224) rotate(0 16.749277484789502 0.9404585450235743)"><path d="M19.22 -3.98 C21.43 -2.69, 24.67 -2.23, 34.43 0.74 M18.4 -3.87 C22.77 -2.39, 28.23 -1.29, 33.42 2.5" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(522 303.55724957567224) rotate(0 20.39929821616971 0.8872809297684512)"><path d="M0.23 -0.54 C7.15 -0.36, 35.31 0.8, 41.91 1.2 M-1.11 1.79 C5.7 2.09, 34.24 2.1, 41.44 2.32" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(522 303.55724957567224) rotate(0 20.39929821616971 0.8872809297684512)"><path d="M21.16 10.59 C27.15 4.82, 34.64 4.16, 41.41 2.35 M22.37 9.93 C26.23 6.87, 31.41 6.93, 42.3 1.62" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(522 303.55724957567224) rotate(0 20.39929821616971 0.8872809297684512)"><path d="M21.35 -3.45 C27.29 -4.57, 34.72 -0.57, 41.41 2.35 M22.56 -4.11 C26.34 -3.94, 31.48 -0.66, 42.3 1.62" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(628.984729198633 342.5704443107922) rotate(0 1.1375928704784428 31.30354863081365)"><path d="M1.17 -0.84 C1.44 9.58, 1.82 52.93, 1.96 63.45 M0.32 1.33 C0.4 11.31, 0.83 51.25, 0.98 61.57" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(628.984729198633 342.5704443107922) rotate(0 1.1375928704784428 31.30354863081365)"><path d="M-11.03 33.41 C-5.18 42.52, -3.65 53.16, 2.66 61.71 M-9.11 33.58 C-5.24 41.97, -3.02 51.31, 1.86 60.76" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(628.984729198633 342.5704443107922) rotate(0 1.1375928704784428 31.30354863081365)"><path d="M9.49 33.15 C8.64 42.55, 3.47 53.28, 2.66 61.71 M11.41 33.32 C8.47 41.78, 3.88 51.2, 1.86 60.76" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(536 344.55724957567224) rotate(0 155.1479949951172 17.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">upload enriched article</text></g><g stroke-linecap="round"><g transform="translate(508.6365392890915 48.55862130045469) rotate(0 14.016068552577565 -15.293707043750757)" fill-rule="evenodd"><path d="M0.47 0.7 L3.28 -5.14 L7.38 -7.52 L13.06 -10.27 L17.72 -12.89 L23.53 -13.05 L32.07 -12.89 L35.53 -10.02 L40.97 -7.19 L61.54 -23.97 L52.12 -26.05 L47.45 -30.38 L43.53 -35.33 L31.93 -36.88 L24.47 -39.39 L12.51 -37.93 L4.23 -35.35 L-3.55 -31.35 L-13.68 -21.35 L-20.58 -17.22 L-24.21 -9.52 L-25.74 -4.52 L-29.36 8.2 L-0.04 0.03" stroke="none" stroke-width="0" fill="#ea4335" fill-rule="evenodd"></path><path d="M0.23 0.1 C0.88 -2.08, 2.16 -4.53, 3.38 -6.19 M0.25 -0.29 C0.46 -1.45, 1.65 -2.03, 3.2 -5.61 M3.66 -6.24 C4.35 -6.7, 4.93 -7.51, 6.95 -9.68 M3.08 -5.87 C4.52 -6.65, 5.39 -7.55, 7.5 -9.37 M7.11 -8.68 C8.28 -9.58, 9.75 -10.37, 13.24 -11.5 M7.56 -9.24 C8.72 -10.05, 10.2 -10.33, 13.02 -11.6 M12.63 -11.76 C14.47 -11.31, 14.96 -12.21, 18.04 -13.09 M12.56 -11.68 C14.37 -11.74, 16.09 -12.08, 18.62 -12.73 M18.82 -12.5 C20.87 -12.47, 23.36 -12.85, 23.76 -13.65 M18.27 -12.89 C20.47 -13.22, 22.59 -13.33, 24.03 -13.54 M24.63 -12.86 C27.34 -12.84, 30.29 -12.26, 30.96 -13.13 M23.72 -13.33 C25.55 -13.3, 27.44 -12.8, 31.11 -12.6 M30.61 -12.64 C32.28 -12.08, 33.88 -12.19, 37.62 -10.72 M31.37 -12.65 C33.38 -12.14, 35.67 -11.34, 37.22 -10.64 M36.82 -11.42 C38.17 -10.1, 39.56 -8.85, 42.33 -7.26 M37.19 -10.87 C39 -10.08, 40.46 -8.97, 42.35 -7.64 M44.43 -8.94 C47.29 -12.12, 54.53 -18.01, 60.29 -24.69 M42.01 -7.12 C45.89 -10.92, 50.15 -16.37, 59.42 -23.32 M60.16 -23.76 C57.59 -25.49, 55.84 -26.44, 53.72 -28.73 M60.04 -23.61 C57.9 -25.33, 55.05 -26.83, 53.97 -28.26 M53.86 -27.65 C53.22 -29.52, 51.13 -29.73, 47.77 -32.52 M53.66 -28 C52.31 -29.58, 50.89 -30.56, 47.88 -32.3 M47.89 -32.32 C45.5 -33.17, 44.1 -34.01, 41.66 -34.81 M47.68 -32.22 C46.53 -32.79, 45.03 -32.9, 42.26 -34.43 M42.17 -34.43 C38.22 -34.99, 35.67 -36.1, 33.59 -37.37 M42.15 -34.05 C40.2 -35.04, 37.84 -35.78, 33.03 -37.11 M33.69 -37.25 C30.4 -38.07, 24.94 -38.28, 23.36 -37.26 M33.08 -37.87 C30.04 -37.19, 26.69 -37.18, 22.67 -38.19 M21.61 -38.56 C21.03 -38.06, 17.43 -37.48, 12.27 -37.09 M22.57 -37.87 C19.56 -36.99, 17.43 -37.12, 13.64 -35.93 M12.9 -37.01 C10.8 -35.05, 7.08 -34.96, 3.36 -33.63 M13.23 -35.91 C10.65 -35.19, 8.75 -35.38, 3.2 -33.54 M2.77 -34.22 C1.64 -32.58, -0.97 -31.12, -5.18 -29.65 M3.07 -33.45 C0.68 -32.3, -1.8 -31.29, -4.65 -29.91 M-4.12 -29.14 C-8.08 -27.08, -10.83 -26.17, -13.74 -22.55 M-4.38 -29.11 C-6.9 -27.36, -10.32 -25.3, -13.36 -22.54 M-12.81 -21.84 C-16.02 -20.41, -17.33 -18.56, -18.83 -17.19 M-13.7 -22.13 C-15.52 -20.21, -17.76 -18.26, -18.93 -16.67 M-18.91 -16.27 C-21.49 -13.76, -22.1 -10.89, -23.88 -10.19 M-18.97 -16.61 C-20.31 -14.41, -21.57 -12.5, -23.25 -9.77 M-23.57 -9.27 C-24.91 -6.88, -25.64 -4.63, -26.27 -2.96 M-23.75 -9.85 C-24.58 -7.48, -25.93 -5.31, -27.19 -3.17 M-27.78 -2.67 C-28.82 1.73, -29.37 4.47, -29.39 7.97 M-26.36 -2.74 C-27.71 -0.42, -28.67 2.52, -29.96 7.82 M-32.26 5.33 C-20.46 5.78, -11.69 0.96, -0.51 -2.28 M-29.55 7.56 C-22.54 4.41, -14.58 3.29, -0.17 -0.1 M-0.31 -0.35 C-0.18 -0.3, -0.07 -0.12, 0.04 -0.03 M-0.26 -0.37 C-0.18 -0.27, -0.11 -0.12, -0.01 -0.01" stroke="#b42d21" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(532.4564551312649 98.05273418640797) rotate(0 -26.84150233332656 11.313320791719818)" fill-rule="evenodd"><path d="M0.59 0.23 L0.13 23.52 L-34.47 24.47 L-41.33 21.51 L-51.5 20.81 L-52.59 15.6 L-37.24 -0.49 L-29.74 1.1 L-1.38 1.89" stroke="none" stroke-width="0" fill="#34a853" fill-rule="evenodd"></path><path d="M-1.13 0.29 C-0.92 7.21, 0.27 14.42, -2.01 22.3 M-0.8 -0.79 C0.95 9.69, -0.16 18, -0.94 23.67 M0.57 23.48 C-8.62 22.79, -18.01 22.17, -35.07 24.44 M0.73 24.27 C-10.97 23.9, -22.09 23.45, -34.67 23.37 M-34.6 24.3 C-37.42 23.32, -39.61 22.68, -42.6 22.64 M-34.22 23.73 C-37.17 23.58, -39.58 22.54, -42.77 22.44 M-41.65 22.71 C-44.24 21.07, -46.34 20.18, -49.83 19.43 M-42.33 22.36 C-44.94 21.06, -47.89 19.61, -49.26 19.05 M-49.46 19.36 C-50.31 18.54, -52.19 17.24, -53.81 15.73 M-49.71 18.71 C-51.36 17.7, -53.16 16.52, -53.93 16.42 M-52.84 16.76 C-45.97 10.66, -41.94 0.78, -38.73 0.21 M-54.41 15.54 C-49.3 12.3, -46.24 7.63, -37.74 -1.2 M-37.47 -1.56 C-35.5 -1.51, -33.14 -0.39, -30.69 0.35 M-37.19 -1.81 C-34.8 -0.9, -32.42 0.04, -31.33 0.17 M-32.27 0.1 C-22.8 1.85, -13.67 1.54, -0.66 2.1 M-30.53 -0.48 C-24.57 0.11, -19.57 0.08, -0.28 -0.66 M-0.4 0.16 C-0.24 0.09, -0.13 0.03, -0.02 0 M-0.4 0.16 C-0.28 0.08, -0.15 0.06, 0.01 0.02" stroke="#216f36" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(568.3124689047709 24.267067319661322) rotate(0 -1.8554904332063984 49.44005025044892)" fill-rule="evenodd"><path d="M-0.98 1.85 L-17.78 16.41 L-15.27 22.13 L-9.51 23.6 L-9.02 31.07 L-4.23 38.09 L-5.42 41.63 L-0.59 42.43 L2.83 46.18 L9.01 52.63 L9.56 60.06 L9.67 66.07 L4.35 72.22 L0.21 72.56 L-6.87 72.52 L-36.43 73.15 L-34.23 97.73 L0.75 98.05 L9.43 94.78 L17.32 90.42 L22.62 87.1 L27.3 76.7 L32.34 70.32 L32.25 57.56 L32.29 45.98 L26.33 38.35 L23.49 31.51 L17.73 25.95 L13.04 14.43 L8.28 8.73 L0.32 1.03" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-0.99 -0.58 C-5.2 4.1, -12.7 8.61, -15.67 18.16 M0.78 0.98 C-4.06 4.02, -8.25 6.46, -17.47 17.34 M-16.99 16.37 C-16.55 17.13, -15.58 18.6, -13.16 20.32 M-16.8 16.63 C-15.79 17.65, -15.06 18.75, -13.1 20.62 M-13.49 20.73 C-11.6 22.55, -10.93 24.67, -9.75 25.59 M-13.43 20.93 C-12.13 22.03, -11.68 23.66, -10.26 25.28 M-10.25 25.05 C-9.86 26.47, -8.75 28.86, -6.63 31 M-9.87 25.5 C-9.29 26.78, -8.41 28.32, -7.41 31.66 M-6.73 31.78 C-7.19 33.05, -6.1 34.92, -5.66 36.75 M-7.24 31.32 C-7.05 32.61, -6.48 34.57, -5.92 37.52 M-5.63 37.72 C-6.19 38.96, -6.28 42.16, -6.07 42.74 M-5.98 37.38 C-6.15 38.96, -6.11 40.84, -5.69 43.03 M-5.85 42.95 C-3.8 43.71, -2.17 43.98, 0.28 44.48 M-5.74 43.33 C-4.23 43.79, -2.92 43.82, -0.25 44.07 M-0.46 44.61 C0.41 45.17, 1.47 46.04, 3.53 47.22 M-0.14 44.22 C0.83 45.14, 2.33 45.85, 4.13 47.53 M4.37 47.2 C5.05 48.26, 5.53 49.74, 8.25 52.34 M3.73 47.01 C5.19 49.33, 7.01 51.33, 8.2 52.78 M8.27 53.11 C8.24 54.22, 9.53 57.56, 9.19 59.59 M7.92 53.05 C8.61 54.99, 8.85 57.63, 9.17 59.6 M9.39 59.9 C8.73 61.53, 8.24 63.98, 7.4 65.45 M9.64 59.47 C8.84 61.44, 8.62 63.36, 7.87 65.96 M8.07 65.6 C6.16 66.64, 5.33 68.19, 4.26 70.02 M7.94 66.29 C6.81 67.02, 5.91 68.76, 3.82 70.61 M4.04 71.02 C2.54 71.41, 0.74 72.2, -0.66 73 M3.75 70.63 C1.97 71.67, 0.64 72.01, -1.3 73.16 M-1.43 72.77 C-2.61 73.54, -4.99 73.83, -6.82 73.52 M-0.86 73.3 C-2.46 73.01, -4.19 73.64, -7.3 73.42 M-8.31 72.76 C-15.39 71.72, -20.1 72.75, -34.71 73.78 M-7.29 73.27 C-14.27 74.56, -22.89 73.5, -35.2 73.19 M-35.13 72.66 C-35.3 78.98, -37.1 85.41, -34.1 97.75 M-36 72.87 C-36 82.57, -36.75 90.41, -35.11 97.05 M-37.56 99.46 C-28.04 97.37, -18.76 98.33, -1.26 96.36 M-34.96 96.94 C-23.33 96.86, -12.16 98.27, -1.39 98.12 M-1.79 96.63 C1.84 96.72, 5.01 96.08, 7.37 96.58 M-1.64 97.7 C2.57 96.63, 6.24 95.82, 8.05 96.13 M8.52 95.51 C11.73 93.42, 14.68 91.49, 16.39 90.95 M8.16 95.72 C11.61 93.95, 14.61 92.46, 16.35 91.46 M16.75 91.37 C18.26 88.71, 20.65 88.09, 22.63 86.64 M16.27 91.42 C18.62 89.3, 20.49 88.22, 22.7 85.95 M23.14 86.64 C25.51 83.5, 26.93 81.11, 28.45 77.72 M22.83 85.6 C23.56 84.28, 25.49 82.61, 27.66 77.59 M28.28 77.55 C30.35 75.35, 30.57 72.49, 32.84 69.91 M28.11 77.96 C29.94 74.92, 31.13 70.9, 31.64 68.47 M32.07 67.94 C32.05 65.75, 32.06 64.6, 33.35 59.06 M31.85 69 C32.44 65.61, 32.79 62.21, 33.6 57.7 M33.85 58.85 C33.67 53.61, 32.48 50.21, 32.44 47.87 M32.89 58.43 C32.62 54.25, 32.43 51, 31.91 47.85 M32.53 47.27 C30.44 44.69, 29.31 42.67, 27.31 37.68 M32.29 47.64 C30.01 45.07, 28.83 41.89, 27.82 38.27 M26.77 38.24 C25.56 37.29, 24.37 35.77, 21.74 31.21 M27.36 38.55 C26.03 35.65, 24.22 33.54, 22.57 31.35 M22 31.2 C20.03 29.53, 18.02 27.33, 16.8 25.95 M22.27 31.24 C20.02 29.49, 17.9 27.8, 16.51 26.38 M16.3 25.58 C14.3 22.59, 13.91 19.81, 12.9 14.56 M16.69 25.93 C15.67 23.55, 14.09 20.13, 12.07 14.87 M11.31 14.66 C10.73 12.47, 9.76 11, 7.65 9.06 M12.01 15.17 C11.18 13.92, 10.11 11.94, 7.67 8.49 M6.98 7.37 C4.6 5.79, 3.44 1.58, 0.89 0.9 M7.56 8.92 C5.53 5.39, 3.53 2.79, 0.72 0.45 M0.56 0.17 C0.34 0.14, 0.21 0.07, -0.05 -0.02 M0.54 0.16 C0.42 0.16, 0.28 0.11, 0.03 -0.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(515.5182340075667 75.97907400794395) rotate(0 -17.560823485391154 2.8859525098546897)" fill-rule="evenodd"><path d="M0.61 0.17 L15.96 -17.57 L8.18 -25.26 L1.67 -29.21 L-7.95 -32.28 L-19.32 -33.8 L-31.41 -28.81 L-41.01 -20.93 L-47.72 -12.24 L-49.89 -5.61 L-51.46 6.89 L-52.81 17.36 L-47.18 25.59 L-45.51 31.54 L-37.34 39.44 L-19.92 20.8 L-26.44 13.18 L-29.71 7.5 L-26.67 -2.1 L-20.84 -6.07 L-13.04 -7.95 L-4.78 -3.53" stroke="none" stroke-width="0" fill="#fbbc05" fill-rule="evenodd"></path><path d="M0.21 -1.18 C3.71 -7.32, 12.48 -9.36, 16.09 -18.92 M-0.32 0.58 C2.9 -4.55, 7.12 -7.17, 16.99 -17.03 M16.86 -18.21 C15.23 -19.04, 14.06 -22.07, 9.81 -23.77 M17.94 -17.61 C15.08 -19.88, 13.49 -22.06, 10.59 -24.96 M10.88 -24.61 C7.02 -25.74, 5 -27.51, 1.68 -30.05 M10.51 -24.77 C7.63 -25.44, 5.73 -27.04, 1.5 -29.1 M0.74 -30.25 C-2.7 -30.04, -5.47 -32.78, -10.31 -32.65 M1.9 -29.54 C-1.64 -30.44, -6.39 -31.4, -9.32 -32.58 M-10.08 -33.4 C-12.47 -33.3, -15.84 -33.13, -19.47 -32.48 M-9.63 -33.22 C-11.12 -32.28, -13.12 -32.19, -18.66 -31.86 M-19.39 -33.16 C-23.86 -29.91, -27.57 -31.23, -31.15 -29.34 M-19.14 -32.25 C-22.14 -31.12, -24.56 -31.27, -31.02 -29.42 M-30.14 -28.77 C-33.22 -26.44, -36.18 -23.84, -41.59 -21.91 M-30.95 -28.61 C-33.85 -27.25, -36.02 -25.73, -41.78 -21.84 M-41.66 -20.89 C-43.32 -17.91, -46.18 -16.62, -47.86 -12.41 M-41.62 -21.54 C-42.63 -19.97, -44.06 -17.1, -48.15 -13.3 M-47.69 -13.5 C-49.53 -10.14, -49.94 -7.57, -50.99 -4.77 M-48.12 -12.82 C-48.94 -9.29, -50.43 -6.24, -51.43 -3.98 M-51.83 -4.8 C-50.82 -0.05, -52.49 1.94, -52.19 7.46 M-51.47 -4.13 C-52.32 -0.23, -52.78 3.39, -52.52 7.21 M-53.06 6.21 C-52.65 8.71, -52.78 10.3, -51.28 16.1 M-52.92 6.5 C-52.18 8.35, -52.12 10.44, -51.5 15.74 M-52.07 15.3 C-50.9 17.65, -49.08 19.18, -48.66 23.94 M-51.26 15.81 C-50.2 18.31, -49.7 19.84, -48.5 23.6 M-48.11 23.91 C-47.3 26.64, -44.68 28.84, -43.86 31.53 M-48.6 24.14 C-46.93 25.49, -46.29 28.16, -44.06 31.48 M-43.34 31.58 C-42.03 33.69, -39.57 34.72, -37.52 38.98 M-44.01 30.69 C-41.73 34.11, -38.82 35.91, -37.3 38.91 M-38.85 36.71 C-33.51 33.58, -28.28 30.24, -20.69 18.09 M-35.95 39.17 C-30.52 31.34, -24.22 24.43, -21 20.56 M-20.24 19.8 C-22.94 18.42, -23.67 16.38, -25.7 13.94 M-20.36 19.87 C-22.93 17.42, -24.65 15.55, -26.49 14.64 M-26.48 14.56 C-26.68 12.44, -27.72 9.07, -28.3 6.72 M-26 14.33 C-26.98 12.53, -27.8 10.1, -28.47 6.4 M-28.76 6.55 C-27.92 3.96, -27.66 2.26, -25.5 -0.48 M-28.48 6.55 C-27.5 3.7, -26.96 1.54, -25.88 -1.36 M-25.74 -1.64 C-24.31 -3.54, -23.03 -4.78, -20.73 -6.49 M-25.83 -1.17 C-24.18 -2.91, -22.7 -4.77, -21.14 -6.98 M-21.53 -7.43 C-18.93 -6.8, -16.43 -7.19, -12.91 -8.23 M-20.89 -6.99 C-18.11 -7.12, -15.44 -8.09, -12.85 -8.72 M-12.21 -8.29 C-9.48 -6.83, -6.57 -6.41, -5.49 -4.78 M-13.37 -8.55 C-10.53 -7.62, -9.26 -7.21, -4.51 -5.48 M-4.12 -4.83 C-3.13 -2.61, -0.51 -0.54, 0.61 0.04 M-4.48 -4.92 C-3.36 -3.82, -2.29 -2.61, -0.35 0.11" stroke="#c7970f" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(495 171.55724957567224) rotate(0 44.70199966430664 17.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">PaLM </text></g><g stroke-linecap="round"><g transform="translate(459 252.55724957567224) rotate(0 23.56809932377189 -62.54816580973565)"><path d="M0.94 0.42 C8.43 -20.34, 37.51 -104.61, 44.98 -125.52 M-0.02 -0.4 C7.82 -20.92, 39.67 -103.7, 47.16 -124.26" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(459 252.55724957567224) rotate(0 23.56809932377189 -62.54816580973565)"><path d="M47.55 -95.95 C46.31 -103.75, 47.2 -113.84, 47.66 -123.28 M47.5 -93.6 C46.41 -102.05, 47.74 -111.77, 47.47 -123.3" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(459 252.55724957567224) rotate(0 23.56809932377189 -62.54816580973565)"><path d="M28.34 -103.18 C32.9 -108.92, 39.65 -116.81, 47.66 -123.28 M28.29 -100.82 C32.7 -107.04, 39.56 -114.68, 47.47 -123.3" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(616 248.55724957567224) rotate(0 -29.094748226348372 -60.78245921126566)"><path d="M-0.58 0.05 C-10.16 -19.95, -48.96 -99.7, -58.71 -120.01 M1.32 -0.97 C-8.3 -21.29, -49.3 -101.63, -59.51 -121.62" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(616 248.55724957567224) rotate(0 -29.094748226348372 -60.78245921126566)"><path d="M-37.48 -100.69 C-40.34 -105.61, -47.74 -110.61, -58.26 -121.03 M-38.33 -100.69 C-44.77 -108.04, -50.45 -113.84, -60.07 -121.87" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(616 248.55724957567224) rotate(0 -29.094748226348372 -60.78245921126566)"><path d="M-55.76 -91.37 C-54.94 -98.07, -58.65 -104.95, -58.26 -121.03 M-56.61 -91.36 C-57.3 -101.8, -57.28 -110.51, -60.07 -121.87" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(867.9675754458783 481.7292364735898) rotate(0 23 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">User</text></g><g stroke-linecap="round"><g transform="translate(865.1803547973709 472.0763104636111) rotate(0 25.819645202628976 -21.795699329337083)" fill-rule="evenodd"><path d="M13.47 -38.64 C13.47 -38.64, 13.47 -38.64, 13.47 -38.64 M13.47 -38.64 C13.47 -38.64, 13.47 -38.64, 13.47 -38.64 M7.04 -19.05 C14.46 -27.58, 21.87 -36.11, 26.72 -41.69 M7.04 -19.05 C14.33 -27.44, 21.63 -35.83, 26.72 -41.69 M0.61 0.53 C8.82 -8.9, 17.02 -18.34, 35.39 -39.47 M0.61 0.53 C8.46 -8.49, 16.31 -17.52, 35.39 -39.47 M11.24 0.5 C19.7 -9.23, 28.16 -18.95, 40.77 -33.46 M11.24 0.5 C17.6 -6.81, 23.95 -14.12, 40.77 -33.46 M21.87 0.47 C28.5 -7.15, 35.12 -14.77, 46.81 -28.21 M21.87 0.47 C31.83 -10.99, 41.79 -22.44, 46.81 -28.21 M29.22 4.2 C35.37 -2.87, 41.52 -9.94, 50.87 -20.7 M29.22 4.2 C37.7 -5.55, 46.18 -15.3, 50.87 -20.7 M41.82 1.91 C45.06 -1.82, 48.3 -5.55, 54.94 -13.19 M41.82 1.91 C46.9 -3.94, 51.98 -9.78, 54.94 -13.19 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M12.04 -0.13 C9.58 -2.27, 7.13 -4.4, 1.47 -9.32 M12.04 -0.13 C8.37 -3.33, 4.69 -6.52, 1.47 -9.32 M24.84 0.39 C19.65 -4.12, 14.47 -8.62, 2.95 -18.64 M24.84 0.39 C19.03 -4.66, 13.22 -9.71, 2.95 -18.64 M30.08 -5.65 C23.25 -11.59, 16.41 -17.54, 6.69 -25.99 M30.08 -5.65 C24.29 -10.68, 18.5 -15.72, 6.69 -25.99 M45.9 -2.5 C34.79 -12.16, 23.68 -21.82, 9.67 -33.99 M45.9 -2.5 C34.28 -12.6, 22.66 -22.7, 9.67 -33.99 M52.66 -7.23 C44.6 -14.23, 36.55 -21.23, 14.92 -40.03 M52.66 -7.23 C39.04 -19.07, 25.42 -30.91, 14.92 -40.03 M51.11 -19.17 C42.23 -26.89, 33.35 -34.61, 20.92 -45.41 M51.11 -19.17 C44.37 -25.03, 37.63 -30.89, 20.92 -45.41" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M0 0 C0.92 -4.85, 1.58 -21.76, 5.52 -29.07 C9.46 -36.38, 17.61 -43.34, 23.65 -43.87 C29.69 -44.4, 37.51 -39.05, 41.78 -32.24 C46.05 -25.43, 56.23 -8.39, 49.27 -3.02 C42.31 2.36, 8.21 -0.5, 0 0 M0 0 C0.92 -4.85, 1.58 -21.76, 5.52 -29.07 C9.46 -36.38, 17.61 -43.34, 23.65 -43.87 C29.69 -44.4, 37.51 -39.05, 41.78 -32.24 C46.05 -25.43, 56.23 -8.39, 49.27 -3.02 C42.31 2.36, 8.21 -0.5, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(877.6342256336866 405.38526267775467) rotate(0 12.612971703843186 11.036350240862816)"><path d="M2.98 3.91 C2.98 3.91, 2.98 3.91, 2.98 3.91 M2.98 3.91 C2.98 3.91, 2.98 3.91, 2.98 3.91 M2.45 16.71 C5.96 12.67, 9.47 8.64, 16.23 0.86 M2.45 16.71 C7.62 10.77, 12.78 4.82, 16.23 0.86 M8.49 21.96 C13.66 16.02, 18.82 10.07, 23.58 4.6 M8.49 21.96 C11.77 18.18, 15.05 14.41, 23.58 4.6 M4.36 19.37 C4.36 19.37, 4.36 19.37, 4.36 19.37 M4.36 19.37 C4.36 19.37, 4.36 19.37, 4.36 19.37 M17.91 20.55 C12.37 15.72, 6.82 10.9, 1.31 6.11 M17.91 20.55 C13.34 16.57, 8.77 12.6, 1.31 6.11 M24.67 15.82 C20.32 12.03, 15.96 8.25, 7.31 0.73 M24.67 15.82 C18.54 10.49, 12.41 5.16, 7.31 0.73" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M25.23 11.04 C25.23 11.68, 25.16 12.32, 25.03 12.95 C24.91 13.58, 24.71 14.21, 24.47 14.81 C24.22 15.41, 23.9 16, 23.54 16.55 C23.17 17.11, 22.74 17.64, 22.28 18.13 C21.81 18.62, 21.28 19.08, 20.72 19.49 C20.16 19.9, 19.55 20.27, 18.92 20.59 C18.29 20.91, 17.61 21.19, 16.93 21.41 C16.24 21.63, 15.52 21.79, 14.8 21.91 C14.08 22.02, 13.34 22.07, 12.61 22.07 C11.88 22.07, 11.14 22.02, 10.42 21.91 C9.7 21.79, 8.99 21.63, 8.3 21.41 C7.61 21.19, 6.94 20.91, 6.31 20.59 C5.67 20.27, 5.06 19.9, 4.51 19.49 C3.95 19.08, 3.42 18.62, 2.95 18.13 C2.48 17.64, 2.05 17.11, 1.69 16.55 C1.32 16, 1.01 15.41, 0.76 14.81 C0.51 14.21, 0.32 13.58, 0.19 12.95 C0.06 12.32, 0 11.68, 0 11.04 C0 10.4, 0.06 9.75, 0.19 9.12 C0.32 8.49, 0.51 7.86, 0.76 7.26 C1.01 6.66, 1.32 6.07, 1.69 5.52 C2.05 4.96, 2.48 4.43, 2.95 3.94 C3.42 3.45, 3.95 2.99, 4.51 2.58 C5.06 2.17, 5.67 1.8, 6.31 1.48 C6.94 1.16, 7.61 0.88, 8.3 0.67 C8.99 0.45, 9.7 0.28, 10.42 0.17 C11.14 0.06, 11.88 0, 12.61 0 C13.34 0, 14.08 0.06, 14.8 0.17 C15.52 0.28, 16.24 0.45, 16.93 0.67 C17.61 0.88, 18.29 1.16, 18.92 1.48 C19.55 1.8, 20.16 2.17, 20.72 2.58 C21.28 2.99, 21.81 3.45, 22.28 3.94 C22.74 4.43, 23.17 4.96, 23.54 5.52 C23.9 6.07, 24.22 6.66, 24.47 7.26 C24.71 7.86, 24.91 8.49, 25.03 9.12 C25.16 9.75, 25.19 10.72, 25.23 11.04 C25.26 11.36, 25.26 10.72, 25.23 11.04" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(426 475.61726361744275) rotate(0 73.85111590526071 -1.1588727699016204)"><path d="M0.87 -0.35 C25.66 -0.62, 123.15 -1.74, 147.84 -1.97 M-0.14 -1.58 C24.56 -1.69, 121.99 -1.04, 146.81 -0.9" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(426 475.61726361744275) rotate(0 73.85111590526071 -1.1588727699016204)"><path d="M117.97 8.92 C123.43 8.39, 130.17 4.71, 148.55 -1.4 M117.89 8.75 C128.91 4.19, 141.22 1.74, 147.57 -0.22" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(426 475.61726361744275) rotate(0 73.85111590526071 -1.1588727699016204)"><path d="M118.09 -11.6 C123.46 -7.52, 130.18 -6.57, 148.55 -1.4 M118.01 -11.77 C128.84 -8.26, 141.11 -2.64, 147.57 -0.22" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(447 440.55724957567224) rotate(0 44.5620002746582 35)"><text x="44.5620002746582" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">knn</text><text x="44.5620002746582" y="35" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">search</text></g><g stroke-linecap="round" transform="translate(293 435.05724957567224) rotate(0 62 41.5)"><path d="M20.75 0 M20.75 0 C40.54 0.38, 63.66 -2.13, 103.25 0 M20.75 0 C48.06 -1.31, 74.75 -0.32, 103.25 0 M103.25 0 C115.11 -0.38, 123.26 6.84, 124 20.75 M103.25 0 C114.99 -0.14, 121.75 8.31, 124 20.75 M124 20.75 C125.13 34.09, 125.72 50.85, 124 62.25 M124 20.75 C124.68 30.56, 123.89 40.31, 124 62.25 M124 62.25 C125.97 75.89, 116.19 84.96, 103.25 83 M124 62.25 C122.83 76.35, 118.74 83.86, 103.25 83 M103.25 83 C81.37 83.3, 62.52 81.49, 20.75 83 M103.25 83 C71.05 83.14, 38.97 83.81, 20.75 83 M20.75 83 C8.54 84.59, -0.22 75.67, 0 62.25 M20.75 83 C6.93 84.81, 2.2 78.23, 0 62.25 M0 62.25 C1.03 48.61, -0.3 30.6, 0 20.75 M0 62.25 C0.68 50.91, -0.54 40.54, 0 20.75 M0 20.75 C0.39 5.04, 5.95 -1.13, 20.75 0 M0 20.75 C-1.82 5.52, 5.88 -2.08, 20.75 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(315.7439994812012 459.05724957567224) rotate(0 39.25600051879883 17.5)"><text x="39.25600051879883" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">embed</text></g><g stroke-linecap="round" transform="translate(88.18944849366949 423.79484241076057) rotate(0 35.339290345615666 53.625409397054625)"><path d="M1.61 0.09 L69.77 -0.11 L69.56 107.54 L-0.18 108.72" stroke="none" stroke-width="0" fill="#fff"></path><path d="M-0.05 -1.45 C13.49 1.16, 27.31 -1.41, 71.31 0.67 M0.2 0.86 C27.22 0.79, 55.61 0.74, 69.9 -0.81 M68.93 1.96 C71.72 25.99, 67.92 48.26, 69.01 106.89 M71.3 0.29 C71.87 39.23, 70.83 77.98, 70.18 106.44 M70.83 107.64 C44.78 107.29, 15.25 108.84, 0.31 106.44 M71.5 106.82 C46.45 107.32, 24.63 107.67, -0.88 106.82 M0.22 109.18 C2.23 85.61, 1.79 60.64, -0.25 1.63 M-0.98 106.56 C0.9 67.17, -0.37 24.86, 0.37 0.73" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(100.17587508058045 472.5420794581132) rotate(0 23.584707946348374 -1.561360392359461)"><path d="M-0.87 -0.58 C6.01 -0.7, 33.27 -0.43, 41.02 -0.79 C48.78 -1.15, 44.65 -2.51, 45.64 -2.71 M0.87 1.74 C7.67 1.73, 32.53 1.35, 40.39 0.25 C48.25 -0.85, 46.87 -4.15, 48.04 -4.86" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(102.03112731859483 441.07679215927476) rotate(0 22.712450592059497 -1.6058201028818644)"><path d="M0.6 -0.95 C3.39 -1.26, 8.33 -2.71, 15.89 -2.43 C23.46 -2.14, 41.17 0.41, 45.97 0.77 M-0.55 1.17 C2.7 0.54, 10.45 -3.99, 18.11 -4.35 C25.77 -4.71, 41.03 -1.87, 45.42 -1" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(101.95452780222536 508.4711664296318) rotate(0 24.002250289727385 0.3931182299916145)"><path d="M-0.94 0.38 C3.43 0.68, 20.54 0.51, 26.82 0.84 C33.09 1.17, 33.1 2.66, 36.72 2.36 C40.35 2.07, 46.72 -0.37, 48.57 -0.93 M0.77 -0.47 C4.96 -0.4, 19.68 -1.41, 26.08 -0.71 C32.47 -0.01, 35.33 4.08, 39.15 3.71 C42.96 3.33, 47.18 -1.7, 48.94 -2.94" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(98.77048062069503 519.7143148379106) rotate(0 26.975041990309933 0.004272476926814761)"><path d="M0.4 1.09 C2.1 0.84, 6.61 -0.97, 9.27 -1.12 C11.93 -1.27, 10.29 -0.26, 16.37 0.19 C22.45 0.64, 39.35 1.85, 45.75 1.59 C52.16 1.33, 53.51 -0.56, 54.79 -1.37 M-0.84 0.62 C1.31 0.55, 8.75 0.81, 11.51 0.44 C14.27 0.07, 10.02 -1.46, 15.72 -1.61 C21.43 -1.76, 39.43 -0.64, 45.74 -0.45 C52.04 -0.26, 52.08 -0.37, 53.53 -0.49" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(99.05532351626084 456.13739371253587) rotate(0 22.76212665323783 0.812278627730791)"><path d="M-0.9 0.05 C2.11 -0.06, 10.54 -0.03, 18.43 0.44 C26.32 0.91, 41.61 2.47, 46.42 2.86 M0.83 -0.97 C3.66 -0.88, 10.18 -1.47, 17.61 -1.14 C25.03 -0.8, 40.36 0.72, 45.39 1.04" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(99.16281171241121 490.62072274837544) rotate(0 22.44997559255603 0.4457638780899629)"><path d="M0.24 1.03 C1.65 1.43, 4.53 2.52, 7.59 2.41 C10.64 2.29, 12.18 0.59, 18.58 0.34 C24.98 0.09, 41.42 0.8, 46 0.91 M-1.1 0.53 C0.19 0.6, 3.19 1.14, 6.37 0.8 C9.56 0.46, 11.46 -1.64, 18.02 -1.52 C24.58 -1.4, 40.79 1.09, 45.76 1.5" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(166 476.55724957567224) rotate(0 58.307300084456756 0.852550526981986)"><path d="M-0.55 0.9 C18.86 0.9, 97.93 0.39, 117.16 0.06 M1.36 0.33 C20.65 0.53, 97.53 1.74, 116.83 1.63" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(166 476.55724957567224) rotate(0 58.307300084456756 0.852550526981986)"><path d="M90.07 13.65 C98.88 6.3, 107.18 5.72, 117.49 2.33 M89.33 11.1 C95.14 9.51, 104.05 6.24, 117.75 1.8" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(166 476.55724957567224) rotate(0 58.307300084456756 0.852550526981986)"><path d="M90.21 -6.87 C98.98 -6.81, 107.23 0.02, 117.49 2.33 M89.47 -9.42 C95.13 -5.58, 104 -3.4, 117.75 1.8" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(687 467.55724957567224) rotate(0 82.3589928030409 -1.4834502574055932)"><path d="M-1.18 0.2 C26.15 -0.34, 136.02 -2.68, 163.81 -3.17 M0.41 -0.74 C28.09 -1.1, 138.45 -1.64, 165.9 -1.72" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(687 467.55724957567224) rotate(0 82.3589928030409 -1.4834502574055932)"><path d="M138.08 6.68 C145.59 6.84, 154.51 3.91, 166.62 -3.4 M137.87 9.53 C146.89 4.95, 155.61 2.9, 165.44 -1.17" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(687 467.55724957567224) rotate(0 82.3589928030409 -1.4834502574055932)"><path d="M137.99 -13.84 C145.54 -7.76, 154.48 -4.76, 166.62 -3.4 M137.79 -10.99 C146.98 -8.91, 155.74 -4.28, 165.44 -1.17" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(674 430.55724957567224) rotate(0 83.97200775146484 35)"><text x="83.97200775146484" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">recommended</text><text x="83.97200775146484" y="35" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">artciles</text></g><g transform="translate(79.45199966430664 533.5572495756722) rotate(0 44.54800033569336 17.5)"><text x="44.54800033569336" y="0" font-family="Virgil, Segoe UI Emoji" font-size="28px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Article</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/09/20230922-palm-synthetic-data.svg b/assets/2023/09/20230922-palm-synthetic-data.svg
new file mode 100644
index 0000000..a6760c7
--- /dev/null
+++ b/assets/2023/09/20230922-palm-synthetic-data.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 606.1778768483474 537.4177491506939" width="1212.3557536966948" height="1074.8354983013878"><symbol id="image-10daff1cbdab32e7c8ca33a9a88cd81086247172"><image width="100%" height="100%" href="data:image/svg+xml;base64,<svg xmlns="http://www.w3.org/2000/svg" version="1.1" x="0px" y="0px" width="103px" height="94px" viewBox="0 0 103 94"><title>Wikipedia logo version 2</title><radialGradient id="SVGID_1_" cx="244.5713" cy="-427.1392" r="68.6868" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#FFF"/><stop offset=".4835" stop-color="#EAEAEB"/><stop offset=".9451" stop-color="#A9ABAE"/><stop offset="1" stop-color="#999B9E"/></radialGradient><path style="fill:url(#SVGID_1_);" d="M49.85,17.003c0.014-0.606-0.392-1.27-0.392-1.27l-0.025-0.058c0,0-0.487-0.949-1.301-1.228c-0.815-0.278-1.478,0.342-1.478,0.342s-0.114,0.131-0.428,0.494c-0.313,0.364-0.507,0.666-1.198,0.938c-0.692,0.271-1.379,0.204-1.743,0.033c-0.365-0.172-0.457-0.537-0.457-0.537s-0.229-0.722-0.313-1.049c-0.086-0.331-0.308-1.694-0.308-1.694s-0.492-2.747-0.535-3.304c0,0,1.475-0.126,3.686-0.775c2.3-0.673,3.043-1.206,3.043-1.206s-0.432-0.156-0.484-0.662c-0.051-0.507-0.089-1.19-0.089-1.19s-0.089-0.5,0.483-1.139c0.572-0.64,1.354-0.863,1.763-0.953c0.41-0.089,1.281-0.17,2.092-0.134c0.813,0.038,1.266,0.112,1.594,0.291c0.327,0.178,0.356,0.61,0.356,0.61l-0.009,1.146c0,0-0.035,0.402,0.262,0.529c0,0,0.505,0.305,2.197,0.133c0,0,0.719-0.126,1.845-0.46c1.125-0.335,4.129-1.229,4.554-1.341c0.426-0.111,0.953-0.291,1.645-0.469c0.693-0.179,2.041-0.626,2.309-0.73c0.27-0.104,1.811-0.618,2.928-0.81c1.114-0.195,2.226-0.186,2.813,0.149c0,0,0.357,0.304,0.521,0.662c0.162,0.358,0.476,0.863,0.92,1.088c0.457,0.227,0.754,0.371,1.877,0.273c0,0,0.021-0.096-0.396-0.37c-0.417-0.277-0.991-0.701-0.991-0.701s-0.334-0.245-0.408-0.447c-0.072-0.202-0.043-0.306-0.043-0.306l0.877-1.406c0,0,0-0.172,0.506-0.238c0.506-0.067,1.074-0.134,1.742-0.313c0.67-0.178,0.789-0.312,0.789-0.312l0.578,0.178c0,0,3.547,2.853,4.655,3.583l0.198-0.239c0,0,0.437,0.018,0.828,0.172c0.393,0.154,0.979,0.562,0.979,0.562s1.613,1.31,2.072,2.2l0.222,0.679l-0.102,0.161c0,0,0.919,1.307,2.096,2.602c0,0,1.229,1.664,1.689,2.09c0,0-0.108-0.399-0.203-0.849l0.339-0.226l0.2-0.144l0.617,0.259c3.575,4.811,6.435,10.424,8.144,16.328l-0.121,0.484l0.396,0.501c1.129,4.212,1.729,8.643,1.729,13.211c0,1.122-0.038,2.236-0.109,3.339l-0.304,0.511l0.226,0.555C99.95,72.645,78.057,93.131,51.38,93.131c-18.502,0-34.702-9.854-43.637-24.601l-0.102-0.365l-0.205-0.151c-3.387-5.742-5.682-12.205-6.595-19.104l0.212-0.524l-0.336-0.482c-0.213-1.892-0.322-3.812-0.322-5.758c0-2.985,0.255-5.909,0.748-8.755l0.25-0.562l-0.087-0.328C2.463,26.451,4.689,20.783,7.78,15.7l0.684-0.384l0.081,0.032c0,0,0.233-0.169,0.354-0.217l0.076-0.023c0,0,1.179-1.971,1.625-2.601c0,0,0.542-0.348,0.745-0.407c0,0,0.124-0.016,0.189,0.076c0,0,0.496-0.432,1.699-2.054c0.004-0.005,0.007-0.011,0.012-0.017c0,0-0.114-0.076-0.131-0.174c-0.018-0.097,0.108-0.591,0.173-0.717s0.108-0.156,0.108-0.156s1.722-2.032,3.151-3.238c0,0,0.26-0.202,0.678-0.25c0,0,1.472-0.613,3.264-2.184c0,0,0.051-0.289,0.478-0.858c0.428-0.57,1.456-1.163,2.222-1.337c0.764-0.174,0.896-0.038,0.896-0.038l0.064,0.065l0.515,0.766c0,0,0.565-0.316,1.413-0.604c0.847-0.289,0.979-0.262,0.979-0.262l0.823,1.336l-0.987,2c0,0-0.644,1.421-1.655,2.185c0,0-0.472,0.284-1.12,0.127c-0.648-0.157-1.072,0.333-1.072,0.333l-0.17,0.14c0,0,0.14-0.024,0.346-0.103c0,0,0.158,0.065,0.274,0.223c0.114,0.158,0.913,1.175,0.913,1.175s0.005,0.837-0.415,1.938c-0.419,1.1-1.467,2.891-1.467,2.891s-0.733,1.424-1.075,2.253c-0.342,0.829-0.515,1.765-0.488,2.262c0,0,0.187,0.062,0.707-0.202c0.655-0.332,1.083,0.027,1.083,0.027s0.719,0.53,1.041,0.881c0.262,0.289,0.802,1.765,0.209,3.224c0,0-0.402,1.008-1.377,1.724c0,0-0.216,0.332-1.529,0.174c-0.368-0.043-0.585-0.276-1.372-0.2c-0.785,0.077-1.231,0.815-1.231,0.815l0.013-0.024c-0.692,0.999-1.154,2.458-1.154,2.458l-0.057,0.165c0,0-0.241,0.509-0.292,1.752c-0.053,1.284,0.284,3.109,0.284,3.109s7.876-1.387,9.88-0.055l0.58,0.532c0,0,0.046,0.174-0.031,0.376c-0.08,0.204-0.375,0.673-0.987,1.113c-0.611,0.438-1.222,1.583-0.313,2.304c1.034,0.818,1.691,0.766,3.43,0.468c1.74-0.297,2.898-1.269,2.898-1.269s0.972-0.72,0.783-1.628c-0.188-0.908-1.017-1.189-1.017-1.189s-0.658-0.423-0.141-1.238c0,0,0.141-0.689,2.553-1.316c2.414-0.626,6.812-1.52,10.557-1.989c0,0-2.539-8.223-0.738-9.289c0,0,0.438-0.296,1.224-0.408l0.72-0.037c0.131-0.027,0.343,0.005,0.796,0.045c0.453,0.038,1.001,0.076,1.678-0.441c0.676-0.519,0.697-0.819,0.697-0.819"/><radialGradient id="SVGID_2_" cx="197.6416" cy="-371.8613" r="0" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#FFF"/><stop offset=".4835" stop-color="#EAEAEB"/><stop offset=".9451" stop-color="#A9ABAE"/><stop offset="1" stop-color="#999B9E"/></radialGradient><path style="fill:url(#SVGID_2_);" d="M-16.122-14.641"/><linearGradient id="SVGID_3_" gradientUnits="userSpaceOnUse" x1="456.2744" y1="510.1602" x2="502.7757" y2="582.9122" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#8A8A8A"/><stop offset=".5687" stop-color="#606060"/><stop offset=".5914" stop-color="#FFF"/><stop offset=".6116" stop-color="#585858"/><stop offset="1" stop-color="#303030"/></linearGradient><path style="opacity:.69;fill:url(#SVGID_3_);" d="M82.447,79.307l0.451,0.168c-0.032,0.061-0.067,0.119-0.101,0.179c-0.864,1.573-0.936,1.927-1.36,2.253c-0.424,0.326-0.58,0.539-1.443,0.695c-0.865,0.156-1.771,1.175-1.771,1.175s-0.875,0.835-0.48,0.866c0.396,0.025,1.177-0.609,1.177-0.609s0.497-0.354,0.625-0.255c0.125,0.099-0.539,0.751-0.539,0.751s-1.161,1.176-2.479,1.982l-0.396,0.213c0,0,1.869-1.392,2.764-2.395c0,0,0.185-0.271-0.185,0.057c-0.369,0.325-1.332,0.821-1.741,0.821c-0.41,0,0.016-0.563,0.016-0.563s0.596-0.768,1.812-1.758c1.22-0.994,2.239-0.922,2.239-0.922s0.227,0.043,0.253-0.271c0.028-0.313,0.312-0.863,0.312-0.863s0.453-1.032,1.674-2.749c1.218-1.714,1.77-2.195,1.77-2.195s1.588-1.629,2.423-3.259c0,0,0.581-1.006-0.364-0.255c-0.951,0.753-2.211,1.7-3.44,2.014c-1.233,0.312-1.349-0.836-1.349-0.836s-0.271-1.884,1.049-3.344c1.188-1.316,2.492-1.273,3.684-1.415c1.188-0.144,2.21-1.571,2.21-1.571s0.82-0.922,1.289-3.797c0.218-1.337,0.067-2.244-0.144-2.818l0.021-0.647l-0.368-0.021c-0.078-0.106-0.135-0.153-0.135-0.153s-0.297-0.299-0.607-0.524c-0.313-0.227-0.692-0.649-1.063-1.457c0,0-1.019-2.11-0.792-5.156c0.227-3.047,2.762-2.762,2.762-2.762s1.475,0.143,1.76-0.298c0.283-0.438,0.553-0.993,0.649-2.223c0.101-1.233-0.396-2.408-0.396-2.408s-0.186-0.609-1.049-0.708c-0.863-0.1-1.051,0.169-1.051,0.169s-0.255,0.072-0.723,1.09c-0.471,1.021-0.75,1.488-1.602,1.702c-0.849,0.211-2.023,0.099-2.549-0.992c-0.515-1.072-1.757-3.693-2.351-5.772l0.084-0.735l-0.325-0.471c-0.063-0.396-0.117-0.846-0.13-1.236c-0.026-0.992-0.312-2.097-0.638-3.2c-0.326-1.106-1.459-2.972-1.672-3.399c-0.324-0.667-0.621-0.949-1.021-0.893c-0.396,0.056-0.339,0.056-0.513,0.056c-0.168,0-0.266,0.212-0.311,0.425c-0.042,0.212-0.375,1.315-1.104,1.812c-0.752,0.51-1.147,0.737-2.438,0.85c0,0-1.487,0.099-2.661-2.097C71,29.36,71.301,27.96,71.398,27.45c0.099-0.51,0.539-1.247,1.229-1.388c0.693-0.141,1.119-0.184,1.119-0.184s1.122-0.01,1.603-0.071c0.551-0.071,0.283-1.006,0.283-1.006s-0.361-2.371-2.348-4.318l-0.096-0.487l-0.756-0.381c-1.881-2.04-4.354-5.354-4.354-5.354s-1.105-1.048-0.17-2.493c0,0,0.438-0.963,1.742-0.792c0.419,0.081,0.457,0.123,0.818,0.199c0.481,0.099,1.008,0.225,1.478-0.398c0,0,0.438-0.792-0.271-1.812s-0.923-1.742-1.785-1.687c0,0-0.397-0.055-0.793,0.384C68.702,8.1,67.682,8.378,67.086,8.44c-0.679,0.071-2.252-0.528-3.156-2.082c-0.513-0.874-0.752-1.35-0.865-1.595l0.231-0.34l0.72,0.08c0.186,0.358,0.549,1.056,0.978,1.812c0.552,0.978,1.048,1.118,1.373,1.261c0.325,0.141,1.049-0.071,1.431-0.283c0.385-0.213,0.766-0.695,1.43-0.738c0.668-0.043,1.629,0.071,2.311,0.793c0.682,0.723,1.531,2.224,1.459,2.932c-0.068,0.708-0.111,1.403-1.035,1.699c-0.921,0.298-1.303,0.043-1.884-0.084c-0.581-0.128-0.864-0.072-1.104,0.211c-0.242,0.284-0.512,0.892-0.412,1.162c0.102,0.27,0.186,0.454,0.75,1.262c0.566,0.806,3.474,4.25,4.031,4.766l-0.152,0.698l0.968,0.176c0.625,0.724,1.358,1.668,1.687,2.263c0.493,0.907,0.752,2.337,0.779,3.002c0.025,0.666-0.299,0.963-0.299,0.963s-0.313,0.524-2.012,0.524c-1.517,0-1.614,0.297-1.614,0.297s-0.47,0.467-0.369,1.615c0.103,1.146,0.616,2.344,1.56,3.37c0.778,0.851,2.252-0.006,2.748-0.295c0.51-0.299,0.822-1.264,0.822-1.264s0.102-1.217,1.432-1.217c1.377,0,1.969,1.318,1.969,1.318s0.963,1.295,1.941,4.121c0.481,1.389,0.566,2.281,0.566,2.281l0.126,1.668l-0.513,0.892l0.732,0.312c0.135,0.541,0.348,1.24,0.686,2.044c0,0,1.008,2.381,1.443,3.286c0.44,0.906,0.896,0.766,1.264,0.808c0,0,0.85,0.113,1.16-0.282c0.313-0.398,0.61-1.092,0.61-1.092s0.663-1.812,2.138-1.657c1.475,0.156,1.84,1.092,2.096,2.168c0.256,1.074,0.313,3.229-0.479,4.545c-0.798,1.318-1.688,1.135-1.688,1.135s-1.813-0.17-2.225,0.213c-0.41,0.382-0.623,0.724-0.681,1.613c-0.058,0.894,0.026,2.336,0.751,4.08c0.631,1.523,1.146,1.361,1.432,1.728c0.284,0.368,1.188,1.204,1.104,3.272c-0.082,2.067-0.791,4.149-1.586,5.439c-0.793,1.288-1.997,2.053-1.997,2.053s-0.338,0.211-1.076,0.311c-0.735,0.102-1.784,0.086-2.534,0.513c-0.75,0.426-0.992,1.501-1.063,1.971c-0.069,0.468-0.112,1.529,0.921,1.413c1.034-0.109,2.577-1.4,2.577-1.4s1.486-1.104,1.685-0.752c0.199,0.354-0.636,1.784-0.636,1.784s-1.035,1.562-1.898,2.523c-0.709,0.791-1.641,1.868-2.431,3.102L82.447,79.307L82.447,79.307z"/><linearGradient id="SVGID_4_" gradientUnits="userSpaceOnUse" x1="425.2861" y1="502.9512" x2="445.7861" y2="598.6606" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#A8A9AB"/><stop offset="1" stop-color="#636668"/></linearGradient><path style="fill:url(#SVGID_4_);" d="M23.441,22.732c-0.007,0.008-0.013,0.018-0.021,0.025C23.428,22.75,23.434,22.74,23.441,22.732z"/><linearGradient id="SVGID_5_" gradientUnits="userSpaceOnUse" x1="421.0684" y1="504.3701" x2="441.068" y2="597.7433" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#A8A9AB"/><stop offset="1" stop-color="#636668"/></linearGradient><path style="opacity:.45;fill:url(#SVGID_5_);" d="M38.188,89.707l0.163,0.01c-0.163-0.147-0.37-0.281-0.62-0.414c-0.699-0.371-3.731-2.375-4.669-3.009c-0.936-0.633-2.575-1.7-3.297-1.478c-0.554,0.172-0.475,0.394-0.804,0.556c-0.331,0.157-0.687,0.052-1.504-0.384c-0.818-0.434-1.424-0.725-3.02-2.239c-1.245-1.185,1.595-0.118,1.595-0.118s0.619,0.262,0.343-0.385c-0.277-0.646-1.676-2.333-2.994-3.691c-1.068-1.098-1.674-1.86-2.435-2.97l-0.566-0.661l0.007-0.166c-0.018-0.024-0.035-0.054-0.052-0.078c0,0-1.874-3.377-1.676-4.617c0,0,0.068-0.828,1.241-1.188c0.817-0.251,0.71,0.542,3.112,0.975c0,0,2.07,0.559,2.611-0.945c0.539-1.505-0.567-3.393-0.567-3.393s-1.449-2.656-3.244-2.758c-0.95-0.053-0.692,0.586-2.125,0.926c0,0-1.913,0.184-2.519-0.963c-0.734-1.389-1.04-2.969-1.015-4.022c0.022-1,0.054-1.079,0.119-1.371c0.045-0.206,0.192-0.582,0.254-1.128l-0.134-0.667l0.204-0.501c0.002-0.26-0.004-0.535-0.021-0.83c-0.091-1.66-0.213-4.221-0.437-5.71c-0.223-1.491-0.633-3.798-1.991-3.866c0,0-0.671-0.051-1.634,0.885c-0.884,0.856-1.684-0.708-1.728-1.663c-0.053-1.121,0.131-2.254,0.409-2.795c0.277-0.541,1.042-0.567,1.186-0.555c0.146,0.013,0.555,0.171,1.043,0.474c0.488,0.305,1.16,0.305,1.557-0.092c0.395-0.394,0.947-0.856,1.173-2.598c0.224-1.741,0.224-3.547,0.013-5.71l-0.225-0.484l1.339-0.289c-0.001-0.017-0.021-0.126-0.032-0.193c0-0.002,0-0.003,0-0.005c-0.002-0.017-0.005-0.032-0.007-0.049c-0.001-0.003-0.001-0.005-0.001-0.007c-0.003-0.019-0.007-0.038-0.009-0.057c0-0.001-0.001-0.001-0.001-0.003c-0.003-0.02-0.006-0.042-0.009-0.062c0-0.001,0-0.001,0-0.001c-0.004-0.023-0.007-0.045-0.011-0.068c0-0.004-0.001-0.006-0.001-0.008c-0.002-0.022-0.006-0.045-0.008-0.066c-0.001-0.006-0.001-0.01-0.003-0.017c-0.002-0.023-0.005-0.046-0.009-0.069c-0.001-0.004-0.001-0.007-0.002-0.014c-0.003-0.026-0.007-0.05-0.011-0.076c0-0.002,0-0.004,0-0.005c-0.004-0.024-0.008-0.05-0.011-0.076c-0.001-0.007-0.001-0.01-0.003-0.017c-0.002-0.025-0.006-0.052-0.009-0.08c-0.001-0.005-0.001-0.011-0.002-0.021c-0.005-0.027-0.007-0.053-0.011-0.081c-0.001-0.006-0.002-0.013-0.002-0.019c-0.002-0.029-0.006-0.058-0.01-0.087c0-0.004-0.001-0.008-0.003-0.014c-0.002-0.028-0.005-0.056-0.009-0.082c-0.001-0.006-0.001-0.011-0.002-0.016c-0.002-0.031-0.006-0.06-0.01-0.09c0-0.006-0.001-0.015-0.002-0.021c-0.004-0.03-0.006-0.061-0.011-0.09c0-0.007-0.001-0.015-0.002-0.022c-0.003-0.03-0.006-0.062-0.01-0.093c0-0.006-0.002-0.012-0.002-0.019c-0.003-0.032-0.005-0.063-0.009-0.094c0-0.002,0-0.005,0-0.009c-0.004-0.032-0.005-0.066-0.01-0.1c0-0.005,0-0.012-0.001-0.02c-0.002-0.033-0.005-0.065-0.007-0.098c-0.001-0.007-0.001-0.014-0.001-0.021c-0.004-0.033-0.006-0.067-0.008-0.099c0-0.005,0-0.012-0.001-0.02c-0.002-0.033-0.006-0.069-0.007-0.102c0-0.003,0-0.007-0.001-0.01c-0.002-0.033-0.004-0.066-0.006-0.1c-0.001-0.006-0.001-0.011-0.001-0.017c-0.001-0.032-0.003-0.068-0.005-0.1c0-0.008,0-0.014-0.001-0.021c-0.001-0.031-0.002-0.065-0.003-0.099c-0.001-0.006-0.001-0.013-0.001-0.021c-0.002-0.033-0.003-0.066-0.004-0.1c0-0.005,0-0.009,0-0.014c-0.001-0.032-0.001-0.066-0.002-0.099c0-0.003,0-0.005,0-0.009c0-0.034,0-0.067-0.001-0.101c0-0.005,0-0.013,0-0.017c0-0.033,0-0.067,0-0.098c0-0.005,0.001-0.012,0.001-0.019c0-0.032,0-0.065,0.001-0.095c0-0.005,0-0.009,0-0.015c0.001-0.033,0.001-0.065,0.003-0.099c0.052-1.244,0.292-1.752,0.292-1.752l0.057-0.164c0,0,0.46-1.459,1.154-2.459l-0.013,0.024c0,0,0.446-0.738,1.231-0.814c0.785-0.079,1.004,0.156,1.371,0.2c0.04,0.004,0.078,0.008,0.115,0.013c0.013,0.002,0.025,0.002,0.037,0.004c0.025,0.002,0.051,0.004,0.075,0.006c0.014,0.001,0.027,0.003,0.041,0.003c0.021,0.001,0.043,0.003,0.064,0.004c0.014,0.001,0.028,0.002,0.041,0.003c0.02,0.001,0.04,0.001,0.058,0.003c0.014,0,0.026,0,0.042,0c0.019,0.001,0.036,0.002,0.055,0.002c0.013,0.001,0.026,0.001,0.038,0.002c0.017,0,0.034,0,0.051,0c0.011,0,0.023,0,0.034,0c0.017,0,0.033,0,0.05,0c0.011,0,0.02-0.001,0.032-0.001c0.016-0.001,0.031-0.001,0.046-0.001c0.011-0.001,0.02-0.001,0.03-0.002c0.016,0,0.03-0.002,0.045-0.002c0.009,0,0.019,0,0.026-0.001c0.016-0.001,0.03-0.002,0.044-0.004c0.006,0,0.016-0.001,0.023-0.002c0.015-0.001,0.029-0.001,0.044-0.003c0.006-0.001,0.013-0.002,0.02-0.002c0.016-0.002,0.03-0.004,0.045-0.008c0.004,0,0.008,0,0.013-0.001c0.019-0.002,0.036-0.005,0.052-0.008l0,0c0.035-0.006,0.068-0.014,0.098-0.021c0,0,0,0,0.002-0.002c0.012-0.002,0.026-0.005,0.039-0.01c0.002,0,0.004,0,0.008-0.001c0.009-0.003,0.019-0.006,0.028-0.009c0.004,0,0.007-0.002,0.01-0.003c0.009-0.003,0.019-0.007,0.026-0.009c0.002-0.001,0.005-0.002,0.008-0.003c0.008-0.003,0.015-0.006,0.021-0.009c0.004-0.001,0.006-0.003,0.009-0.003c0.007-0.004,0.014-0.005,0.02-0.009c0.003-0.001,0.006-0.003,0.008-0.004c0.005-0.002,0.012-0.005,0.019-0.007c0.001-0.001,0.003-0.002,0.005-0.004c0.005-0.003,0.01-0.005,0.016-0.007c0.002-0.002,0.003-0.002,0.006-0.004c0.004-0.001,0.008-0.005,0.012-0.007c0.002-0.001,0.004-0.001,0.005-0.003c0.004-0.002,0.008-0.006,0.012-0.008c0.001,0,0.003-0.002,0.004-0.003c0.003-0.003,0.007-0.004,0.011-0.007c0.001-0.001,0.001-0.001,0.002-0.003c0.004-0.001,0.006-0.005,0.008-0.008h0.002c0.003-0.002,0.005-0.005,0.008-0.007l0.001-0.001c0.002-0.002,0.004-0.004,0.006-0.006s0.002-0.002,0.003-0.003c0.001,0,0.002-0.002,0.002-0.002c0.001-0.003,0.001-0.003,0.003-0.005c0.003-0.001,0.003-0.004,0.003-0.004c0.328-0.241,0.593-0.516,0.797-0.775c0.014-0.017,0.026-0.033,0.04-0.05c0.002-0.004,0.005-0.009,0.008-0.012c0.013-0.015,0.026-0.031,0.038-0.048c0.002-0.004,0.006-0.008,0.007-0.011c0.012-0.018,0.025-0.033,0.038-0.05c0.001,0,0.001,0,0.001-0.001c0.039-0.054,0.075-0.109,0.109-0.159c0-0.002,0.002-0.004,0.003-0.007c0.01-0.016,0.02-0.029,0.03-0.044c0.001-0.004,0.005-0.007,0.007-0.011c0.008-0.014,0.017-0.029,0.024-0.042c0.003-0.004,0.005-0.009,0.009-0.013c0.008-0.014,0.017-0.028,0.024-0.042l0.001-0.002c0.017-0.027,0.032-0.055,0.046-0.079c0.002-0.003,0.004-0.008,0.007-0.012c0.005-0.009,0.01-0.021,0.016-0.03c0.003-0.007,0.007-0.014,0.012-0.02c0.004-0.008,0.01-0.017,0.014-0.024c0.002-0.008,0.006-0.017,0.011-0.023c0.004-0.007,0.009-0.016,0.012-0.022c0.004-0.007,0.007-0.014,0.011-0.021c0.002-0.006,0.007-0.011,0.01-0.018c0.066-0.13,0.097-0.207,0.097-0.207c0.594-1.459,0.052-2.935-0.21-3.224c-0.32-0.354-1.041-0.883-1.041-0.883s-0.426-0.357-1.08-0.025c-0.521,0.264-0.711,0.201-0.711,0.201c-0.024-0.498,0.149-1.432,0.491-2.263c0.341-0.829,1.075-2.253,1.075-2.253s1.047-1.792,1.467-2.89c0.418-1.102,0.415-1.94,0.415-1.94s-0.795-1.019-0.91-1.177c-0.115-0.158-0.272-0.223-0.272-0.223c-0.205,0.078-0.345,0.103-0.345,0.103l0.169-0.14c0,0,0.424-0.492,1.073-0.334c0.648,0.158,1.119-0.126,1.119-0.126c1.011-0.764,1.654-2.187,1.654-2.187l0.988-1.997L27.059,1.12c0,0-0.131-0.028-0.979,0.259c0,0-0.773,1.905-1.725,3.087c0,0-0.374,0.552-0.664,0.416c-0.289-0.134-0.629-0.144-0.91-0.085c-0.281,0.06-1.156,0.349-1.948,1.413c-0.79,1.064-0.883,1.863-0.458,2.101c0.425,0.238,1.045-0.076,1.42-0.407c0.375-0.333,0.638-0.485,0.757-0.47c0.118,0.02,0.093,0.315,0.068,0.41c-0.026,0.094-0.154,1.364-1.625,3.913c-0.369,0.64-0.845,1.589-1.069,2.046l0.608,0.447l-0.999,0.503c-0.266,0.758-0.605,1.945-0.471,2.61c0.204,1.011,1.158,1.011,1.158,1.011s0.621,0.027,1.344-0.348c0.722-0.375,0.892,1.242,0.892,1.505c0,0.264-0.007,1.726-1.02,2.442c0,0-0.409,0.313-0.985,0.313c-0.579,0-0.954-0.169-0.954-0.169s-0.984-0.272-1.59,0.083c-0.604,0.358-1.326,1.098-1.897,2.17c-0.569,1.072-1.045,2.986-1.019,4.397c0.02,1.111,0.18,2.162,0.291,2.879l0.667,0.435l-0.543,0.623c0.079,1.136,0.168,3.363,0.155,4.109c-0.018,0.911-0.154,2.84-1.115,3.292c0,0-0.324,0.171-0.868-0.238s-1.132-0.426-1.37-0.435c-0.238-0.007-1.285,0.162-1.692,1.311c-0.408,1.145-0.375,2.688-0.29,3.597c0.086,0.91,0.876,2.458,1.872,2.458c0,0,0.484,0.035,1.055-0.553c0.568-0.586,0.902-0.637,1.156-0.629c0.255,0.009,0.749,0.272,1.072,2.851c0.307,2.442,0.437,4.442,0.414,6.668l0.605,0.392l-0.758,0.768c-0.042,0.199-0.089,0.417-0.142,0.626c-0.169,0.682-0.187,1.364-0.024,2.569c0.161,1.21,0.811,3.72,1.754,4.375c1.252,0.871,2.071,0.856,2.916,0.791c0.842-0.067,1.424-0.712,1.424-0.712s0.331-0.342,0.685-0.237c0.356,0.104,1.346,0.66,2.058,2.084c0.713,1.425,0.871,2.992-0.316,3.272c-1.187,0.272-3.231-0.846-3.231-0.846s-1.161-0.647-2.109,0.064c-0.951,0.713-0.977,1.807-0.502,3.15c0.261,0.738,0.782,1.938,1.513,3.188l0.721,0.302l-0.193,0.551c0.492,0.748,1.055,1.479,1.678,2.105c0,0,2.466,2.729,3.838,4.457c0,0,0.08,0.157-0.158,0.016c-0.238-0.146-1.266-0.621-1.82-0.566c-0.555,0.054-0.45,0.395-0.45,0.395s0.238,1.254,4.01,3.365c0,0,1.359,0.766,2.216,0.766c0,0,0.277,0.039,0.619-0.346c0.346-0.381,0.45-0.341,0.688-0.262c0.237,0.076,0.553,0.249,1.741,1.105c1.188,0.857,3.496,2.176,4.325,2.731c0.83,0.555,0.793,0.657,0.621,1.054c-0.171,0.396,0.593,0.619,0.593,0.619s1.899,0.855,2.928,0.846c1.029-0.016,1.464-0.119,2.097,0.012c0.632,0.133,1.28,0.291,1.345,0.346c0.066,0.053-0.315,0.038-0.315,0.038s-2.362-0.276-2.494-0.21c-0.13,0.066,0.014,0.184,0.99,0.436v0.006c1.245,0.217,2.507,0.387,3.782,0.51c-0.489-0.061-2.52-0.322-3.823-0.713c0,0-0.131-0.078,0.173-0.014c0.303,0.065,2.018,0.225,2.466,0.157c0.448-0.065-0.092-0.274-0.092-0.274s-0.897-0.425-2.889-0.582c0,0-0.803-0.055-1.503,0.014c-0.699,0.066-1.41-0.264-1.41-0.264s-1.028-0.317-0.78-0.646c0.126-0.165,0.137-0.336,0.065-0.502L38.188,89.707L38.188,89.707z"/><linearGradient id="SVGID_6_" gradientUnits="userSpaceOnUse" x1="444.7598" y1="550.8145" x2="473.8418" y2="550.8145" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#231F20"/><stop offset="1" stop-color="#474747"/></linearGradient><path style="opacity:.35;fill:url(#SVGID_6_);" d="M62.342,86.16l-0.438,0.646c0.096,0.655-0.104,0.875-0.254,1.119c-0.156,0.26-0.59,0.592-0.375,1.185c0.218,0.59,1.687,0.401,2.535,0.144c0.852-0.26,1.569-0.49,2.134-0.693c0.562-0.198,0.719,0.086,0.719,0.086s0.246,0.175-0.574,0.606c-0.821,0.433-2.336,0.634-3.055,0.72c-0.724,0.086-0.506-0.043-1.586,0.33c-1.082,0.377-0.07,0.707-0.07,0.707c2.435,0.635,4.188,0.115,4.188,0.115l0.332-0.097c0.27-0.077,0.535-0.161,0.803-0.244c-2.021,0.456-3.326,0.149-3.739,0.095c-0.431-0.058-0.778-0.145-0.88-0.361c-0.102-0.215,0.479-0.2,0.479-0.2s1.683-0.188,3.24-0.69c1.557-0.506,1.932-0.98,1.871-1.341c-0.057-0.358-0.848-0.332-1.785-0.028c-0.937,0.305-2.334,0.75-2.662,0.821c-0.334,0.07-0.691,0.06-0.812-0.146c-0.114-0.203-0.216-0.53,0.146-0.905c0.36-0.376,0.402-0.694,0.402-0.694c0.055-0.254,0.057-0.523,0.021-0.8L62.342,86.16l0.545-0.118c-0.298-1.124-1.052-2.218-1.279-2.577c-0.314-0.507-0.836-0.793-2.393-0.535c-1.556,0.26-3.386,1.035-3.386,1.035s-1.888,0.997-3.298,0.812c-1.413-0.188-1.703-1.614-1.688-2.063c0.015-0.447,0.304-0.835,1.039-1.123c0.735-0.289,2.465-0.678,4.985-0.808s3.458-1.771,3.458-1.771c0.33-0.478,0.922-1.543-0.489-2.336c-1.41-0.791-1.441-0.593-2.119-1.107c-0.678-0.52-1.412-1.153-1.701-2.033c-0.025-0.084-0.066-0.197-0.104-0.292l-0.849-0.558l0.41-0.371c-0.34-0.67-0.693-1.271-0.693-1.271s-1.281-1.902-0.246-3.703c1.038-1.803,2.736-2.348,2.736-2.348s1.5-0.332,2.996,0.016c1.418,0.324,2.133-0.219,2.133-0.219s0.865-0.374,1.123-2.102c0.264-1.729-0.014-4.943-2.316-5.578c-2.307-0.633-3.527,0.563-3.527,0.563s-1.24,1.369-1.644,1.57c-0.404,0.201-1.022,0.563-1.022,0.563s-0.867,0.519-1.453,0.648c-0.393,0.086-1.791-1.771-1.933-3.201c-0.133-1.316-0.401-2.388-0.306-5.096l-0.485-0.63l0.537-0.533c0.101-2.999-0.417-5.116-1.188-6.461c-0.807-1.412-2.119-2.161-2.766-2.478c-0.648-0.318-2.147-0.462-3.17-0.086c-1.023,0.374-1.239,0.678-1.613,1.326c-0.376,0.648-0.836,0.605-0.836,0.605s-1.427,0.043-1.888-2.133c-0.646-3.049,0.359-4.035,0.359-4.035s0.318-0.476,1.369-0.619c1.053-0.144,1.73,0.115,2.537,0.315c0.806,0.202,1.41,0.116,2.419-0.374c1.008-0.491,1.442-1.297,1.238-2.739c-0.195-1.393-0.255-1.742-1.483-5.964l-0.875-0.46l0.583-0.579C44.87,23.032,44.8,20.35,44.8,20.35c-0.106-0.977,0.049-1.292,0.598-1.54c0.576-0.259,1.116-0.175,1.934-0.123c0.818,0.053,1.425-0.079,1.847-0.316c0.422-0.237,1.581-0.87,1.504-2.162c-0.08-1.292-1.109-2.824-1.953-3.351c-0.843-0.528-1.953-0.316-2.558,0.131c-0.606,0.45-0.845,1.029-1.214,1.214c-0.369,0.183-0.895,0.605-1.45,0.474c-0.554-0.132-0.581-1.371-0.818-2.77c-0.153-0.907-0.271-1.611-0.338-1.989l-0.678-0.254c0.044,0.557,0.535,3.304,0.535,3.304s0.223,1.364,0.308,1.692c0.086,0.329,0.314,1.05,0.314,1.05s0.092,0.364,0.456,0.535c0.365,0.172,1.052,0.24,1.743-0.032c0.692-0.271,0.886-0.572,1.199-0.938c0.315-0.364,0.429-0.493,0.429-0.493s0.663-0.622,1.478-0.343c0.813,0.278,1.299,1.228,1.299,1.228l0.028,0.06c0,0,0.403,0.661,0.392,1.269v-0.057c0,0-0.022,0.301-0.697,0.818c-0.676,0.519-1.226,0.479-1.678,0.442c-0.454-0.04-0.666-0.072-0.797-0.045l-0.719,0.038C45.178,18.303,44.74,18.6,44.74,18.6c-1.8,1.064,0.736,9.288,0.736,9.288l0,0L45.2,28.501c0,0,0.514,2.052,0.904,3.378c0.388,1.326,0.562,2.637,0.62,2.91c0.058,0.274,0.044,0.762-0.317,1.051c-0.359,0.289-1.239,0.534-1.425,0.562c-0.187,0.029-0.535-0.042-0.996-0.201c-0.462-0.158-0.922-0.187-0.922-0.187s-1.11-0.188-2.291,0.173c-1.182,0.359-2.076,1.569-2.148,3.083c-0.071,1.513-0.057,2.278,0.535,3.617c0.59,1.34,1.657,2.104,2.463,2.118c0.808,0.014,1.469-0.403,1.931-1.051c0.459-0.65,0.59-0.751,0.59-0.751c0.548-0.302,1.944-0.433,2.651-0.172c0.708,0.258,2.007,1.073,2.723,2.679c0.579,1.298,0.76,2.75,0.729,5.363l0.584,0.448l-0.61,0.703c-0.007,0.246-0.016,0.498-0.026,0.761c-0.143,3.876,0.72,5.864,0.72,5.864c0.491,1.065,1.023,1.83,1.745,2.318c0.719,0.489,1.699,0.156,2.018,0c0.315-0.158,1.194-0.563,1.943-1.037c0.749-0.477,0.725-0.679,1.629-1.515c0.907-0.833,2.076-0.604,2.076-0.604s1.107,0.028,1.74,1.313c0.637,1.283,0.509,3.109,0.347,3.773c-0.158,0.662-0.444,1.097-1.063,0.979c-0.621-0.114-1.645-0.217-2.019-0.231c-0.375-0.014-1.433-0.049-2.394,0.203c-0.938,0.244-2.205,0.92-3.414,2.883c-0.938,1.52-0.478,3.013-0.262,3.603c0.17,0.462,0.635,1.104,1.043,1.896l0.756,0.252l-0.35,0.656c0.398,0.963,0.701,1.493,1.305,2.151c0.648,0.705,1.672,1.251,2.881,1.714c1.213,0.462,0.662,1.282,0.662,1.282c-0.69,1.497-2.75,1.557-3.354,1.628c-0.604,0.07-1.872,0.188-3.058,0.447c-1.182,0.261-2.291,0.418-2.954,1.182c-0.661,0.764-0.402,1.557-0.013,2.393c0.388,0.834,1.427,1.28,2.853,1.226c1.426-0.058,2.35-0.476,3.214-0.851s2.362-0.809,2.81-0.937c0.445-0.129,1.051-0.39,1.498,0.26c0.482,0.701,0.994,1.697,1.229,2.45L62.342,86.16L62.342,86.16z"/><path style="opacity:.1;fill:#232323;" d="M101.566,51.162c0,0,0.347-3.236,0.457-4.392c0.018-0.173,0.031-0.343,0.045-0.513l-0.098-0.241c-0.459,5.815-0.938,7.727-0.938,7.727s0.013-0.037,0.031-0.101c0.189-0.817,0.357-1.646,0.51-2.48C101.568,51.162,101.566,51.162,101.566,51.162L101.566,51.162z"/><path style="opacity:.1;fill:#232323;" d="M91.268,12.579l0.328,0.413l0.279,0.5c1.021,1.648,2.846,4.295,2.846,4.295s0.739,0.958,0.905,0.968c0.164,0.01-0.084-0.741-0.084-0.741s-0.271-0.979,0.517,0.298c0.73,1.19,1.207,2.359,1.317,2.72c0.114,0.361,0.042,0.411,0.042,0.411s-0.146,0.072-0.146,0.33c0,0.505,0.496,1.659,0.496,1.659s1.545,3.926,2.07,5.563c0.526,1.641,1.133,4.368,1.133,4.368s0.187,0.804,0.207,1.174c0.021,0.371-0.063,0.381-0.229,0.186c-0.164-0.196-0.329-0.072-0.329-0.072s-0.175,0.072-0.175,0.773c0,0.7,0.085,2.346,0.217,3.615c0.152,1.505,0.616,2.133,0.616,2.133s0.413,0.618,0.526-0.577c0.096-1.028,0.185-0.228,0.185-0.228c0.196,1.557,0.062,4.544,0.03,4.955c-0.019,0.218-0.032,0.433-0.049,0.64l0.133-0.221c0.201-2.971,0.06-5.359,0.06-5.359s-0.144-1.323-0.3-1.311c-0.155,0.01-0.211,0.701-0.211,0.701s-0.065,0.467-0.156,0.456c-0.088-0.011-0.369,0.022-0.566-1.412c-0.199-1.436-0.156-2.949-0.156-2.949s-0.043-0.155,0.048-0.189c0.09-0.034,0.188,0.1,0.188,0.1s0.133,0.189,0.287,0.033c0.156-0.154,0.19-0.622-0.301-3.08c-0.288-1.454-0.711-2.896-1.006-3.832l-0.294-0.333l-0.058-0.718c0,0-0.311-0.913-1.033-2.737c-0.723-1.824-0.846-2.458-0.846-2.458s-0.045-0.2,0.066-0.234c0.111-0.032,0.091-0.178,0.091-0.178s-0.013-0.245-0.278-0.99c-0.268-0.746-0.426-1.281-1.356-2.86c-0.869-1.468-1.124-1.558-1.124-1.558s-0.426-0.234-0.112,0.591c0.313,0.823-0.075,0.232-0.075,0.232c-0.925-1.177-2.838-4.292-2.838-4.292l-0.537-0.373l-0.508-1.261l-0.015,0.01"/><path style="opacity:.1;fill:#232323;" d="M1.547,32.696l-0.183,0.37c-0.472,2.495-0.625,5.135-0.62,5.31c0.01,0.208-0.036,0.211-0.075,0.178c-0.042-0.035,0.03-0.16-0.048-0.16c-0.079,0-0.108,0.211-0.108,0.211L0.512,38.6c-0.021,0.288-0.038,0.574-0.053,0.861l0.016-0.003c0.068-0.098,0.097-0.028,0.097-0.028s-0.029,0.126,0.097,0.056c0.126-0.07,0.21-1.379,0.21-1.379s0.014-2.813,0.836-6.14c0.819-3.327,1.281-4.259,1.281-4.259s0.154-0.418,0.138-0.083C3.12,27.958,3.33,27.986,3.33,27.986c0.375-0.054,0.821-1.125,1.267-2.493c0.445-1.363,0.668-2.589,0.668-2.7c0-0.11-0.055-0.194-0.152-0.138c-0.098,0.056-0.125,0.014-0.125,0.014c-0.014-0.208,0.361-1.127,0.361-1.127c1.253-3.202,3.104-5.694,3.104-5.694l0.09-0.504c-0.164,0.254-0.27,0.419-0.421,0.661c-0.056,0.089-0.042,0.297-0.001,0.32c-0.201,0.191-0.365,0.35-0.476,0.456c-2.707,4.473-3.059,6.556-3.059,6.556c-0.017,0.214,0.004,0.311,0.111,0.306c0.065-0.003,0.251-0.349,0.116,0.354c-0.09,0.468-0.524,1.708-0.693,2.212c-0.171,0.505-0.358,0.85-0.495,0.826C3.49,27.01,3.49,26.801,3.49,26.801s-0.042-0.546-0.398,0.245c-0.356,0.791-0.713,1.859-1.425,4.65c-0.031,0.125-0.063,0.251-0.092,0.38L1.547,32.696L1.547,32.696z"/><path style="opacity:.1;fill:#232323;" d="M4.841,62.626c-0.15-0.401-0.264-0.722-0.179-0.581c0.085,0.143,0.198,0.432,0.462,0.725c0.263,0.291,0.442-0.226-0.622-3.104s-1.354-3.04-1.402-3.095c-0.046-0.058-0.215-0.237-0.167,0.167c0.045,0.404,0.018,0.656-0.51-1.146c-0.528-1.806-0.996-4.844-1.025-5.089c-0.027-0.243-0.169-1.778-0.396-3.594c-0.226-1.814-0.246-3.743-0.207-4.28c0.039-0.537-0.066-0.828-0.123-0.837c-0.056-0.008-0.094,0.047-0.131,0.284c-0.038,0.234-0.01,0.395-0.067,0.385c-0.057-0.009-0.076-0.471-0.076-0.471H0.391c0,0.05,0,0.1,0,0.151c0,0.174,0.001,0.345,0.002,0.519l0.039,0.402c0.033,0.597,0.129,0.354,0.135,0.246c0.006-0.109,0.03-0.329,0.03-0.329s0.103-0.884,0.084,0.02c-0.019,0.904,0.236,4.563,0.236,4.563c0.019,0.236,0.041,0.479,0.068,0.729l0.063,0.092l-0.042,0.104c0.265,2.425,0.795,5.086,0.795,5.086c0.507,2.417,1.11,3.846,1.308,4.25c0.198,0.405,0.236,0.085,0.17-0.271c-0.066-0.357,0.546,0.688,0.873,1.674c0.332,0.99,0.556,1.815,0.556,1.815s0.254,0.781,0.142,0.828c-0.113,0.046-0.292-0.293-0.292-0.293s-0.473-0.835-0.274-0.228c0.398,1.231,1.6,3.822,1.6,3.822l1.396,2.471C6.282,65.836,4.982,63.004,4.841,62.626L4.841,62.626z"/><path style="opacity:.1;fill:#232323;" d="M7.281,67.639c0.069,0.125,0.136,0.246,0.202,0.359L7.281,67.639z"/><path style="opacity:.1;fill:#232323;" d="M20.722,2.874C20.51,3.216,20.48,3.388,20.48,3.388s0.112-0.118,0.183-0.237C20.733,3.033,20.722,2.874,20.722,2.874z"/><path style="opacity:.1;fill:#232323;" d="M17.216,5.572c-0.417,0.048-0.677,0.25-0.677,0.25S16.889,5.761,17.216,5.572z"/><path style="opacity:.1;fill:#232323;" d="M84.005,4.909c0,0,0.247-0.03,0.347,0.02c0.101,0.049,0.066-0.158,0.066-0.158s-0.287-0.406-0.322-0.556c-0.32-0.089-0.611-0.1-0.611-0.1l-0.028,0.034c-0.01,0.075-0.036,0.188-0.012,0.297C83.441,4.448,83.917,4.811,84.005,4.909L84.005,4.909z"/><path style="opacity:.1;fill:#232323;" d="M87.487,7.88l0.095-0.152l-0.223-0.679c-0.004-0.012-0.012-0.022-0.021-0.036c-0.007,0.066-0.049,0.125-0.172,0.115c0,0-0.099-0.03-0.011,0.198C87.219,7.469,87.355,7.699,87.487,7.88L87.487,7.88z"/><path style="opacity:.1;fill:#232323;" d="M101.566,51.162c0,0,0.347-3.236,0.457-4.392c0.018-0.173,0.031-0.343,0.045-0.513l-0.098-0.241c-0.459,5.815-0.938,7.727-0.938,7.727s0.013-0.037,0.031-0.101c0.189-0.817,0.357-1.646,0.51-2.48C101.568,51.162,101.566,51.162,101.566,51.162L101.566,51.162z"/><linearGradient id="SVGID_7_" gradientUnits="userSpaceOnUse" x1="266.4922" y1="-395.2783" x2="295.9644" y2="-485.0349" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset=".0094" stop-color="#FCFCFC"/><stop offset=".0655" stop-color="#EEEEEE"/><stop offset=".1342" stop-color="#E5E5E5"/><stop offset=".2515" stop-color="#E3E3E3"/><stop offset=".3357" stop-color="#8A8A8A"/><stop offset=".4422" stop-color="#B8B8B8"/><stop offset="1" stop-color="#3B3B3B"/></linearGradient><path style="opacity:.5;fill:url(#SVGID_7_);" d="M79.003,84.528c0,0,0.667-0.653,0.539-0.752c-0.128-0.101-0.623,0.256-0.623,0.256s-0.073,0.062-0.185,0.142l0.393-0.252c0,0-0.038,0.238-0.355,0.555c0,0-0.094,0.094-0.258,0.248c-0.957,0.938-2.386,1.998-2.386,1.998l0.396-0.211C77.844,85.703,79.003,84.528,79.003,84.528z"/><linearGradient id="SVGID_8_" gradientUnits="userSpaceOnUse" x1="460.4629" y1="512.5557" x2="509.5884" y2="573.3062" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EFF0F0"/><stop offset=".5914" stop-color="#F0F1F2"/><stop offset=".599" stop-color="#787878"/><stop offset=".6456" stop-color="#EEEFF0"/><stop offset="1" stop-color="#D8D9DB"/></linearGradient><path style="opacity:.73;fill:url(#SVGID_8_);" d="M82.984,39.705l0.51-0.891l-0.127-1.667c0,0-0.085-0.893-0.566-2.28c-0.979-2.828-1.941-4.122-1.941-4.122s-0.592-1.318-1.969-1.318c-1.33,0-1.431,1.219-1.431,1.219s-0.312,0.963-0.821,1.261c-0.5,0.29-1.972,1.146-2.748,0.296c-0.941-1.026-1.461-2.225-1.56-3.372c-0.101-1.146,0.367-1.615,0.367-1.615s0.1-0.296,1.614-0.296c1.703,0,2.014-0.525,2.014-0.525s0.324-0.296,0.297-0.963s-0.284-2.097-0.779-3.001c-0.324-0.596-1.058-1.537-1.684-2.261l-0.967-0.178l0.15-0.699c-0.56-0.514-3.465-3.959-4.031-4.766c-0.564-0.808-0.65-0.993-0.75-1.262c-0.099-0.269,0.17-0.877,0.412-1.161c0.238-0.283,0.521-0.341,1.104-0.212c0.58,0.127,0.961,0.381,1.886,0.084c0.919-0.297,0.962-0.992,1.033-1.699c0.071-0.708-0.78-2.209-1.458-2.932c-0.684-0.721-1.645-0.836-2.311-0.792c-0.664,0.042-1.047,0.523-1.433,0.737c-0.382,0.213-1.103,0.425-1.429,0.284c-0.326-0.142-0.823-0.284-1.375-1.261c-0.43-0.76-0.794-1.459-0.979-1.817L63.299,4.42v0.012c0,0,0.633,1.654,1.633,2.811c0.998,1.157,2.266,0.919,2.266,0.919s0.82-0.089,1.533-0.772c0.711-0.683,1.761-0.148,2.024,0.04c0.269,0.189,0.853,0.911,1.478,2.127c0.621,1.216-0.355,2.058-0.355,2.058s-0.555,0.535-1.691,0.088c-1.14-0.443-1.813,0.259-1.986,0.614c-0.182,0.357-0.508,0.99,0.076,1.73c0.584,0.742,3.178,4.273,4.916,5.945c1.74,1.672,2.314,3.047,2.682,4.342c0.365,1.297,0.079,1.899-0.521,2.018c-0.604,0.118-1.148,0.021-2.086,0.187c-0.94,0.17-1.349,0.367-1.543,1.653c-0.199,1.286,0.562,3.373,1.67,4.361c1.106,0.989,2.334,0.386,2.76,0.228c0.427-0.159,1.352-0.653,1.681-2.027c0.188-0.783,0.851-0.721,0.851-0.721s0.563-0.071,0.854,0.117c0.287,0.19,0.633,0.525,1.402,1.87c0.772,1.346,1.453,3.146,1.724,4.738C82.924,38.35,82.729,38.576,82.984,39.705c0.256,1.128,1.078,3.245,1.466,4.074c0.383,0.832,0.78,1.662,0.989,2.107c0.205,0.445,0.531,0.782,1.443,0.802c0.908,0.02,1.273-0.228,1.541-0.662c0.27-0.435,0.612-1.088,0.713-1.316c0.1-0.228,0.467-0.911,1.146-1.02c0.685-0.108,1.762,0.01,2.106,1.198c0.313,1.071,0.76,2.622-0.158,4.5c-0.65,1.334-1.129,0.859-2.451,0.948c0,0-1.165-0.01-1.781,0.921c-0.611,0.93-0.416,2.61-0.286,3.877s0.988,3.113,1.621,3.563c0.636,0.443,0.86,0.849,1.08,1.256c0.216,0.404,0.534,1.205,0.216,3.313c-0.313,2.106-0.979,3.74-1.867,4.521c-0.024,0.021-0.05,0.043-0.07,0.063c-0.067,0.065-0.141,0.135-0.219,0.201c-0.537,0.521-0.371,0.543-0.889,0.793c-0.594,0.289-0.988,0.207-1.958,0.365c-0.97,0.16-1.583,0.327-2.088,0.821c-0.503,0.495-1.243,1.409-0.979,3.187c0.148,0.986,1.318,0.584,2.229,0.111c-0.274,0.125-0.553,0.221-0.798,0.246c-1.033,0.113-0.991-0.949-0.921-1.415c0.069-0.47,0.313-1.544,1.063-1.97s1.799-0.41,2.533-0.512c0.738-0.101,1.076-0.313,1.076-0.313s1.205-0.766,1.997-2.055c0.793-1.289,1.502-3.371,1.587-5.438c0.084-2.068-0.821-2.902-1.104-3.271c-0.283-0.366-0.799-0.203-1.431-1.729c-0.724-1.74-0.81-3.188-0.751-4.079c0.057-0.892,0.27-1.231,0.682-1.612c0.41-0.383,2.223-0.213,2.223-0.213s0.893,0.185,1.686-1.134c0.793-1.317,0.738-3.471,0.481-4.546c-0.253-1.076-0.623-2.013-2.097-2.168c-1.471-0.152-2.138,1.66-2.138,1.66s-0.297,0.693-0.608,1.092c-0.312,0.395-1.16,0.285-1.16,0.285c-0.37-0.044-0.821,0.099-1.264-0.81c-0.438-0.906-1.442-3.286-1.442-3.286c-0.339-0.809-0.556-1.512-0.688-2.055L82.984,39.705L82.984,39.705z"/><linearGradient id="SVGID_9_" gradientUnits="userSpaceOnUse" x1="272.8721" y1="-392.8257" x2="302.4699" y2="-482.9646" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="opacity:.53;fill:url(#SVGID_9_);" d="M82.487,79.313l0.801-0.479c0.788-1.231,1.72-2.31,2.431-3.103c0.863-0.961,1.896-2.522,1.896-2.522s0.835-1.431,0.638-1.784c-0.13-0.23-0.704,0.02-1.687,0.752c-3.674,2.746-3.971,1.246-3.971,1.246c0.422,2.438,4.729-1.633,5.108-1.375c-0.063,0.563-0.457,1.172-1.25,2.25c0,0-0.388,0.555-0.78,0.953c-0.369,0.432-0.578,0.641-0.578,0.641s-0.088,0.09-0.125,0.125c-0.471,0.541-1.024,1.242-1.595,2.018c-0.019,0.021-0.104,0.113-0.125,0.143c-0.295,0.416-0.491,0.73-0.702,1.062c-0.014,0.022-0.064,0.011-0.076,0.034c0-0.002-0.013,0.014-0.025,0.037c-0.245,0.39-0.373,0.713-0.508,0.959c-0.012,0.029-0.021,0.065-0.03,0.095c0,0-0.319,0.665-0.457,1.067c-0.14,0.405-0.12,0.547-0.623,0.625c-0.504,0.078-0.276-0.053-1.021,0.196c0,0-0.403,0.199-0.938,0.571c-0.027,0.021-0.057,0.042-0.082,0.063c-0.736,0.604-1.247,1.119-1.534,1.436c-0.051,0.063-0.099,0.13-0.146,0.195c0,0-0.157,0.168,0.051,0.188c0.206,0.021,0.633-0.01,1.008-0.169l0.088-0.057c-0.186,0.103-0.373,0.174-0.513,0.162c-0.396-0.026,0.479-0.864,0.479-0.864s0.906-1.019,1.771-1.175c0.862-0.156,1.021-0.371,1.444-0.693c0.426-0.327,0.494-0.682,1.359-2.254c0.03-0.059,0.064-0.115,0.098-0.176L82.487,79.313L82.487,79.313z"/><linearGradient id="SVGID_10_" gradientUnits="userSpaceOnUse" x1="444.6943" y1="510.9561" x2="469.7246" y2="592.0699" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#FFF"/><stop offset=".7473" stop-color="#F9F9F9"/><stop offset="1" stop-color="#D5D7D8"/></linearGradient><path style="opacity:.96;fill:url(#SVGID_10_);" d="M55.064,72.686l0.408-0.377c-0.34-0.668-0.693-1.269-0.693-1.269s-1.282-1.901-0.245-3.703c1.036-1.803,2.737-2.348,2.737-2.348s1.5-0.332,2.996,0.017c1.418,0.323,2.133-0.22,2.133-0.22s0.865-0.376,1.123-2.104c0.261-1.729-0.014-4.94-2.317-5.576c-2.306-0.633-3.528,0.563-3.528,0.563s-1.242,1.369-1.644,1.57c-0.404,0.2-1.024,0.562-1.024,0.562s-0.865,0.52-1.453,0.648c-0.39,0.087-1.788-1.771-1.931-3.2c-0.133-1.313-0.4-2.385-0.305-5.084c0-0.005,0-0.01,0-0.017l-0.486-0.629l0.537-0.526c0.102-3-0.418-5.119-1.188-6.463c-0.805-1.414-2.118-2.163-2.766-2.479c-0.647-0.317-2.146-0.461-3.169-0.086c-1.022,0.375-1.237,0.677-1.613,1.325c-0.376,0.65-0.835,0.606-0.835,0.606s-1.427,0.044-1.89-2.132c-0.644-3.049,0.36-4.036,0.36-4.036s0.318-0.475,1.369-0.619c1.053-0.144,1.73,0.115,2.536,0.317c0.807,0.2,1.41,0.114,2.42-0.374c1.009-0.49,1.442-1.298,1.24-2.738c-0.196-1.397-0.249-1.727-1.484-5.966l-0.874-0.458l0.582-0.579c-1.182-4.271-1.257-6.961-1.257-6.961c-0.105-0.975,0.049-1.29,0.598-1.537c0.576-0.261,1.117-0.177,1.934-0.125c0.819,0.052,1.425-0.079,1.847-0.316c0.423-0.236,1.583-0.87,1.503-2.163c-0.078-1.292-1.108-2.823-1.951-3.35c-0.844-0.528-1.952-0.317-2.56,0.132c-0.606,0.447-0.843,1.028-1.213,1.212c-0.368,0.185-0.896,0.607-1.45,0.474c-0.554-0.132-0.581-1.372-0.818-2.77c-0.155-0.915-0.276-1.614-0.342-1.989l-0.674-0.254c0.043,0.557,0.535,3.304,0.535,3.304l0.294,1.624c0,0,0,0.007,0,0.02c0.006,0.018,0.009,0.036,0.013,0.05c0.019,0.079,0.049,0.18,0.082,0.289c0.114,0.215,0.37,0.456,0.942,0.502c1.076,0.089,1.772-0.468,2.025-0.709c0.254-0.239,0.86-0.911,0.86-0.911s0.329-0.632,1.253-0.494c0.922,0.14,1.238,0.773,1.403,1.013c0.167,0.242,1.57,1.961,0.672,2.861c-0.039,0.039-0.093,0.089-0.152,0.146c-0.104,0.111-0.245,0.246-0.446,0.399c-0.675,0.517-1.226,0.48-1.678,0.442c-0.453-0.039-0.665-0.07-0.795-0.043l-0.72,0.038c-0.787,0.11-1.224,0.408-1.224,0.408c-1.8,1.065,0.735,9.287,0.735,9.287s0.671,2.029,0.973,2.979c0.301,0.949,0.496,1.625,0.791,3.264c0.295,1.639-0.231,2.092-0.525,2.251c-0.294,0.158-0.984,0.568-1.77,0.604c-0.783,0.034-1.027-0.368-2.371-0.432c-1.345-0.065-2.246,0.345-2.661,0.906c-0.417,0.561-0.913,1.862-0.675,3.4c0.237,1.541,0.504,2.064,1.092,2.748c0.59,0.681,1.165,0.97,1.978,0.696c0.792-0.266,0.764-0.756,1.173-1.164c0.517-0.519,0.855-0.792,2.063-0.821c1.208-0.029,1.979,0.288,2.594,0.784c0.619,0.496,1.934,1.646,2.294,3.356c0.359,1.713,0.424,2.268,0.424,3.676s-0.101,2.978-0.064,4.381c0.036,1.4,0.187,2.841,0.577,3.795c0.386,0.955,0.926,1.755,1.4,2.18c0.475,0.426,0.896,0.438,1.373,0.252c0.475-0.188,1.511-0.771,2.373-1.324c0.861-0.555,0.797-0.99,1.576-1.502c0.875-0.576,1.799-0.605,2.457-0.486c0.661,0.112,1.676,0.631,2.092,1.889C63.059,60.58,63,61.998,63,61.998s0.035,1.186-0.445,1.876c-0.48,0.688-1.272,0.616-1.625,0.545c-0.354-0.071-1.094-0.136-1.094-0.136s-1.451-0.165-2.563,0.094c-1.105,0.258-2.077,1.085-2.73,1.896c-0.652,0.813-0.941,1.57-0.984,2.158c-0.043,0.59,0.027,1.595,0.642,2.572c0.612,0.979,0.712,1.432,1.409,2.827c0.695,1.396,2.15,2.17,2.201,2.206c0.05,0.037,1.388,0.523,1.89,0.949c0.505,0.425,0.555,0.826,0.411,1.208c-0.145,0.381-0.438,1.094-1.604,1.604c-1.166,0.512-2.591,0.523-3.496,0.617c-0.906,0.094-2.651,0.332-3.697,0.834c-1.043,0.503-0.97,1.454-0.97,1.454s-0.028,1.556,1.337,1.983c1.365,0.434,2.64,0,3.201-0.237c0.562-0.238,1.487-0.583,1.487-0.583s1.791-0.631,2.752-0.848c0.965-0.217,1.533-0.323,2.188,0.832c0.652,1.158,1.014,1.886,1.078,2.625c0.064,0.74-0.209,1.148-0.461,1.432c-0.25,0.279-0.217,0.46-0.217,0.46c-0.105,0.873,1.182,0.763,1.182,0.763s0.041-0.004,0.11-0.018c-0.26,0.021-0.499-0.021-0.59-0.178c-0.116-0.202-0.217-0.531,0.146-0.906c0.359-0.374,0.402-0.693,0.402-0.693c0.305-1.439-1.038-3.371-1.354-3.875c-0.315-0.503-0.836-0.791-2.394-0.531c-1.556,0.26-3.386,1.037-3.386,1.037s-1.891,0.995-3.299,0.809c-1.413-0.188-1.701-1.614-1.687-2.063c0.016-0.444,0.304-0.836,1.038-1.122c0.733-0.289,2.464-0.679,4.984-0.809c2.522-0.128,3.458-1.771,3.458-1.771c0.331-0.478,0.923-1.543-0.489-2.338c-1.412-0.789-1.44-0.589-2.116-1.104c-0.68-0.521-1.412-1.153-1.701-2.034c-0.026-0.084-0.07-0.198-0.108-0.291L55.064,72.686L55.064,72.686z"/><linearGradient id="SVGID_11_" gradientUnits="userSpaceOnUse" x1="390.042" y1="485.6797" x2="390.042" y2="485.6797" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#FFF"/><stop offset=".7473" stop-color="#F9F9F9"/><stop offset="1" stop-color="#D5D7D8"/></linearGradient><path style="fill:url(#SVGID_11_);" d="M-16.122-14.641"/><linearGradient id="SVGID_12_" gradientUnits="userSpaceOnUse" x1="390.042" y1="485.6797" x2="390.042" y2="485.6797" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#FFF"/><stop offset=".7473" stop-color="#F9F9F9"/><stop offset="1" stop-color="#D5D7D8"/></linearGradient><path style="fill:url(#SVGID_12_);" d="M-16.122-14.641"/><path style="opacity:.1;fill:#232323;" d="M92.002,13.363c1.021,1.649,2.844,4.295,2.844,4.295s0.256,0.332,0.5,0.605l0.01-0.011c0.011-0.375-0.051-0.571-0.06-0.621l-0.091-0.274c-0.021-0.367,0.438,0.095,0.611,0.288c-0.498-0.754-0.659-0.811-0.659-0.811s-0.423-0.234-0.111,0.59c0.312,0.824-0.075,0.233-0.075,0.233c-0.924-1.177-2.838-4.293-2.838-4.293l-0.553-0.383L92.002,13.363L92.002,13.363z"/><path style="opacity:.1;fill:#232323;" d="M101.539,51.352c0.014-0.063,0.023-0.125,0.034-0.188c-0.004,0-0.009,0-0.009,0s0.005-0.03,0.013-0.089C101.563,51.17,101.551,51.262,101.539,51.352L101.539,51.352z"/><path style="opacity:.1;fill:#232323;" d="M100.822,35.679c0.088-0.033,0.188,0.1,0.188,0.1s0.135,0.189,0.289,0.033c0.107-0.104,0.155-0.353,0.025-1.257c-0.004,0.229-0.053,0.409-0.137,0.59c-0.139,0.296-0.314,0.02-0.441-0.081c-0.129-0.098-0.168,0.07-0.168,0.07l-0.004,0.162c0,0.7,0.087,2.346,0.217,3.617c0.063,0.605,0.173,1.071,0.287,1.408l0.041,0.076c0.089,0.148,0.188,0.343,0.307,0.255c0.116-0.089,0.274-0.582,0.274-0.582l0.128-0.591c0.191,0.113,0.291,0.529,0.341,0.962c-0.002-0.037-0.004-0.056-0.004-0.056s-0.144-1.324-0.3-1.313c-0.155,0.01-0.21,0.701-0.21,0.701s-0.066,0.468-0.157,0.456c-0.088-0.011-0.365,0.022-0.564-1.412c-0.201-1.436-0.158-2.949-0.158-2.949S100.732,35.713,100.822,35.679L100.822,35.679z"/><path style="opacity:.1;fill:#232323;" d="M99.696,28.566l0.298,0.341c0.479,1.494,0.996,3.843,1.092,4.264c-0.027-0.139-0.056-0.286-0.088-0.441c-0.288-1.454-0.711-2.896-1.006-3.832L99.696,28.566l-0.05-0.702c-0.004-0.01-0.006-0.016-0.006-0.016s-0.312-0.913-1.033-2.737c-0.725-1.824-0.848-2.458-0.848-2.458s-0.043-0.2,0.066-0.234c0.109-0.032,0.09-0.178,0.09-0.178s-0.013-0.245-0.277-0.99c-0.182-0.503-0.312-0.911-0.662-1.607c0.281,0.585,0.463,1.052,0.524,1.259l0.028,0.068c0,0,0.099,0.148,0.066,0.552c-0.027,0.403-0.146,0.452-0.146,0.452l0.022,0.14c0.141,0.538,0.418,1.187,0.418,1.187s1.065,2.709,1.748,4.54L99.696,28.566L99.696,28.566z"/><linearGradient id="SVGID_13_" gradientUnits="userSpaceOnUse" x1="274.5342" y1="-396.1577" x2="255.2091" y2="-490.1944" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_13_);" d="M42.958,91.536c0.938,0.177,1.723,0.358,1.889,0.396C44.514,91.822,43.895,91.653,42.958,91.536z"/><linearGradient id="SVGID_14_" gradientUnits="userSpaceOnUse" x1="422.5586" y1="518.7568" x2="427.2878" y2="578.1768" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset=".2198" stop-color="#989A9C"/><stop offset=".2527" stop-color="#FFF"/></linearGradient><path style="fill:url(#SVGID_14_);" d="M20.381,74.92l0.007-0.164l-0.052-0.08c0,0-1.874-3.375-1.676-4.615c0,0,0.069-0.827,1.241-1.187c0.817-0.25,0.71,0.538,3.112,0.976c0,0,2.07,0.557,2.611-0.946c0.539-1.507-0.566-3.394-0.566-3.394s-1.45-2.656-3.244-2.756c-0.95-0.055-0.692,0.583-2.125,0.924c0,0-1.913,0.185-2.519-0.963c-0.733-1.389-1.015-2.968-1.015-4.021c0-1.058,0.045-1.001,0.126-1.405c0.045-0.219,0.186-0.548,0.248-1.09l-0.134-0.675l0.204-0.499c0.002-0.26-0.004-0.535-0.021-0.83c-0.092-1.661-0.211-4.221-0.436-5.711c-0.223-1.491-0.633-3.799-1.991-3.865c0,0-0.671-0.052-1.636,0.885c-0.882,0.856-1.682-0.708-1.726-1.663c-0.052-1.121,0.131-2.255,0.409-2.795c0.277-0.541,1.042-0.566,1.186-0.554c0.146,0.012,0.555,0.17,1.042,0.474c0.489,0.304,1.161,0.304,1.558-0.092c0.395-0.395,0.948-0.856,1.173-2.598c0.225-1.741,0.225-3.547,0.013-5.71l-0.224-0.485l1.339-0.288c-0.001-0.016-0.021-0.125-0.032-0.195c0,0,0-0.001-0.001-0.002c-0.001-0.017-0.004-0.033-0.007-0.052c0-0.002,0-0.004,0-0.005c-0.003-0.019-0.007-0.038-0.009-0.057c-0.001-0.001-0.001-0.001-0.001-0.003c-0.003-0.022-0.006-0.042-0.009-0.062c0-0.001,0-0.001,0-0.001c-0.004-0.022-0.006-0.045-0.011-0.067c0-0.003-0.001-0.006-0.001-0.007c-0.002-0.022-0.006-0.045-0.008-0.068c-0.001-0.005-0.001-0.01-0.003-0.015c-0.002-0.023-0.005-0.047-0.009-0.069c-0.001-0.004-0.002-0.01-0.002-0.014c-0.003-0.026-0.007-0.05-0.012-0.076c0-0.002,0-0.005,0-0.005c-0.004-0.025-0.008-0.05-0.012-0.076c0-0.007-0.001-0.012-0.002-0.018c-0.002-0.024-0.006-0.052-0.009-0.079c-0.001-0.005-0.001-0.011-0.003-0.021c-0.004-0.027-0.006-0.053-0.01-0.081c-0.001-0.007-0.002-0.013-0.003-0.02c-0.003-0.028-0.005-0.057-0.009-0.087c-0.001-0.003-0.001-0.008-0.003-0.013c-0.003-0.028-0.005-0.056-0.009-0.082c-0.001-0.006-0.001-0.011-0.002-0.017c-0.003-0.031-0.006-0.06-0.01-0.091c-0.001-0.007-0.001-0.014-0.002-0.02c-0.004-0.03-0.006-0.062-0.011-0.09c0-0.007-0.001-0.015-0.002-0.022c-0.003-0.031-0.006-0.063-0.01-0.094c-0.001-0.006-0.002-0.011-0.002-0.018c-0.003-0.032-0.005-0.063-0.009-0.094c0-0.003,0-0.005-0.001-0.009c-0.003-0.033-0.004-0.068-0.009-0.1c0-0.005,0-0.013-0.001-0.02c-0.002-0.035-0.005-0.065-0.007-0.099c-0.001-0.008-0.001-0.015-0.002-0.021c-0.003-0.032-0.005-0.066-0.007-0.099c0-0.005-0.001-0.011-0.001-0.02c-0.002-0.033-0.006-0.068-0.007-0.101c0-0.003-0.001-0.008-0.001-0.009c-0.002-0.033-0.004-0.066-0.007-0.1c0-0.006,0-0.012,0-0.017c-0.001-0.032-0.003-0.068-0.005-0.1c0-0.008,0-0.014-0.001-0.022c-0.001-0.033-0.004-0.067-0.005-0.098c0-0.006,0-0.013,0-0.021c-0.002-0.033-0.003-0.066-0.004-0.101c0-0.005,0-0.008,0-0.013c-0.001-0.032-0.002-0.066-0.002-0.099c0-0.003,0-0.005,0-0.009c0-0.034-0.001-0.067-0.001-0.102c0-0.005,0-0.012,0-0.016c0-0.033,0-0.067,0-0.098c0-0.005,0-0.012,0-0.019c0.001-0.032,0.001-0.065,0.001-0.096c0-0.004,0.001-0.009,0.001-0.014c0-0.033,0.001-0.066,0.003-0.1c0.052-1.243,0.291-1.751,0.291-1.751l0.058-0.166c0,0,0.46-1.458,1.152-2.458l-0.011,0.024c0,0,0.446-0.738,1.231-0.816c0.785-0.077,1.003,0.158,1.371,0.202c0.04,0.004,0.078,0.008,0.115,0.013c0.013,0.001,0.025,0.002,0.037,0.004c0.025,0.002,0.051,0.003,0.074,0.006c0.014,0.001,0.028,0.002,0.042,0.003c0.021,0.001,0.043,0.002,0.064,0.004c0.014,0.001,0.028,0.001,0.041,0.002c0.02,0.001,0.04,0.002,0.058,0.002c0.013,0.002,0.026,0.002,0.04,0.002c0.021,0.001,0.037,0.002,0.055,0.002c0.014,0,0.026,0.001,0.039,0.001c0.016,0,0.034,0.001,0.051,0.001c0.011,0,0.023,0,0.034,0c0.017,0,0.032,0,0.05-0.001c0.01,0,0.02,0,0.032-0.001c0.016,0,0.031,0,0.046-0.001c0.011,0,0.02-0.001,0.03-0.001c0.015,0,0.03-0.002,0.045-0.002c0.009,0,0.017-0.001,0.026-0.001c0.015-0.001,0.03-0.003,0.044-0.004c0.006-0.001,0.016-0.002,0.022-0.002c0.016-0.001,0.03-0.002,0.044-0.004c0.007-0.001,0.014-0.001,0.019-0.002c0.016-0.002,0.03-0.004,0.045-0.007c0.006,0,0.009,0,0.014-0.001c0.019-0.002,0.036-0.006,0.052-0.008l0,0c0.035-0.008,0.068-0.014,0.098-0.021c0,0,0-0.002,0.002-0.002c0.012-0.002,0.025-0.005,0.039-0.01c0.002,0,0.004-0.001,0.007-0.001c0.01-0.003,0.02-0.006,0.029-0.009c0.003-0.001,0.007-0.002,0.01-0.004c0.009-0.002,0.018-0.006,0.026-0.008c0.002-0.002,0.005-0.003,0.008-0.003c0.008-0.003,0.015-0.006,0.021-0.009c0.003-0.001,0.006-0.003,0.009-0.004c0.006-0.003,0.014-0.004,0.02-0.009c0.003-0.001,0.006-0.002,0.008-0.003c0.005-0.002,0.012-0.005,0.019-0.007c0.001-0.002,0.003-0.003,0.005-0.004c0.005-0.004,0.01-0.005,0.015-0.008c0.003-0.001,0.004-0.003,0.008-0.003c0.004-0.002,0.008-0.005,0.012-0.008c0,0,0.004,0,0.005-0.002c0.004-0.003,0.008-0.006,0.012-0.008c0.001-0.002,0.002-0.002,0.004-0.003c0.003-0.003,0.007-0.004,0.01-0.008c0.002,0,0.002,0,0.002-0.002c0.003-0.001,0.007-0.005,0.011-0.008c0,0,0.001,0,0.001-0.001c0.004-0.002,0.005-0.004,0.009-0.007h0.001c0.002-0.002,0.004-0.004,0.006-0.007c0.001-0.001,0.002-0.001,0.003-0.002s0.002-0.002,0.002-0.002c0.001-0.003,0.001-0.003,0.003-0.005c0.002-0.002,0.004-0.004,0.004-0.004c0.328-0.241,0.591-0.516,0.797-0.775c0.014-0.017,0.026-0.034,0.04-0.05c0.002-0.004,0.005-0.009,0.008-0.012c0.013-0.016,0.026-0.032,0.038-0.05c0.002-0.003,0.006-0.006,0.007-0.01c0.012-0.018,0.025-0.032,0.038-0.05c0,0,0,0,0.001,0c0.039-0.055,0.075-0.109,0.109-0.159c0-0.003,0.002-0.006,0.003-0.008c0.01-0.015,0.021-0.028,0.03-0.044c0.001-0.003,0.004-0.007,0.007-0.01c0.008-0.016,0.017-0.029,0.024-0.042c0.002-0.004,0.005-0.009,0.009-0.013c0.008-0.014,0.017-0.028,0.023-0.042c0.001-0.001,0.001-0.002,0.002-0.002c0.017-0.028,0.032-0.055,0.046-0.079c0.002-0.003,0.004-0.008,0.006-0.013c0.006-0.01,0.01-0.021,0.017-0.029c0.003-0.007,0.007-0.014,0.012-0.02c0.004-0.008,0.009-0.017,0.014-0.024c0.002-0.008,0.006-0.017,0.01-0.023c0.004-0.007,0.009-0.016,0.012-0.023c0.004-0.006,0.006-0.014,0.011-0.021c0.002-0.006,0.007-0.013,0.01-0.021c0.066-0.128,0.097-0.205,0.097-0.205c0.593-1.459,0.052-2.936-0.21-3.225c-0.32-0.353-1.041-0.882-1.041-0.882s-0.288-0.241-0.751-0.144c0.349-0.049,0.791,0.091,0.966,0.558c0.277,0.734,0.376,1.335,0.212,2.33c0,0-0.26,1.387-1.384,2.233c-1.125,0.848-1.923,0.096-2.885,0.13c-0.962,0.032-1.516,0.701-1.809,1.157c-0.293,0.457-1.417,2.2-1.319,5.067c0.097,2.868,0.291,4.301,0.325,5.558c0.033,1.205,0.178,3.976-0.635,5.278c-0.815,1.303-1.628,0.65-2.2,0.309c-0.571-0.341-1.223-0.245-1.744,0.131c-0.521,0.375-0.833,1.124-0.848,3.324c-0.016,2.364,1.532,2.606,1.532,2.606s0.293,0.146,0.945-0.537c0,0,0.651-0.685,1.253-0.603c0.604,0.082,0.995,0.716,1.255,1.808c0.261,1.092,0.796,5.621,0.717,8.668c-0.034,1.271-0.62,1.286-0.36,3.617c0,0,0.409,3.13,1.401,4.089c0.995,0.962,2.378,0.781,2.706,0.75c0.324-0.032,0.7-0.26,0.7-0.26s0.309-0.197,0.537-0.374c0.23-0.182,0.522-0.428,1.011-0.277c0.489,0.146,1.645,0.896,2.557,2.571c0.915,1.678,0.496,3.317-0.26,3.521c-0.668,0.182-0.848,0.229-1.971-0.05c-1.124-0.274-1.451-0.567-1.957-0.766c-0.504-0.196-1.043-0.263-1.547,0.114c-0.505,0.373-1.345,1.057-0.343,3.32c0.961,2.174,1.692,3.797,3.518,5.623c-0.522-0.607-0.956-1.188-1.427-1.871L20.381,74.92L20.381,74.92z"/><linearGradient id="SVGID_15_" gradientUnits="userSpaceOnUse" x1="237.3721" y1="-388.3604" x2="218.8474" y2="-478.5023" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_15_);" d="M22.494,7.387l-0.05,0.025C22.45,7.41,22.469,7.401,22.494,7.387z"/><linearGradient id="SVGID_16_" gradientUnits="userSpaceOnUse" x1="259.9063" y1="-479.3379" x2="259.8987" y2="-479.3752" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_16_);" d="M46.028,92.85c0.13,0.014,0.26,0.026,0.391,0.041c-0.114-0.016-0.31-0.039-0.561-0.074C45.916,92.828,45.972,92.838,46.028,92.85L46.028,92.85z"/><path style="fill:#9FA2A3;" d="M24.089,5.489c-0.649,0.36-0.7-0.016-1.141,0.017c-0.439,0.033-1.026,0.212-1.596,1.043c-0.571,0.831-0.586,1.89,0.326,1.417c0,0,0.436-0.428,0.815-0.579c0.081-0.043,0.24-0.126,0.406-0.174l0.144-0.117c0,0,0.424-0.491,1.073-0.333c0.648,0.156,1.119-0.129,1.119-0.129c1.01-0.761,1.655-2.184,1.655-2.184l0.987-1.998l-0.826-1.336c0,0-0.698,1.489-1.383,2.53C24.986,4.692,25.033,4.972,24.089,5.489L24.089,5.489z"/><path style="fill:#9FA2A3;" d="M19.871,16.292c0,0-0.424,1.89,1.156,1.597c0,0,0.006-0.002,0.022-0.007c-0.062,0.003-0.089-0.006-0.089-0.006c-0.025-0.497,0.149-1.432,0.49-2.261c0.341-0.83,1.075-2.254,1.075-2.254s1.047-1.791,1.467-2.89c0.42-1.102,0.416-1.939,0.416-1.939s-0.8-1.019-0.915-1.176c-0.115-0.157-0.272-0.223-0.272-0.223c-0.054,0.019-0.103,0.036-0.146,0.051c0.115-0.007,0.221,0.021,0.283,0.114c0.213,0.31-0.39,2.036-0.39,2.036s-0.522,1.238-1.548,3.03C20.393,14.157,19.871,16.292,19.871,16.292L19.871,16.292z"/><linearGradient id="SVGID_17_" gradientUnits="userSpaceOnUse" x1="268.9033" y1="-394.6382" x2="249.4966" y2="-489.0725" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_17_);" d="M38.185,89.697l0.166,0.02c-0.134-0.119-0.305-0.236-0.497-0.347c0.184,0.113,0.489,0.358,0.312,0.665c-0.245,0.424-0.048,0.457,0.489,0.863c0,0,0.022,0.013,0.061,0.033c-0.156-0.107-0.253-0.234-0.156-0.362c0.125-0.166,0.136-0.334,0.065-0.499L38.185,89.697L38.185,89.697z"/><linearGradient id="SVGID_18_" gradientUnits="userSpaceOnUse" x1="254.4561" y1="-391.5991" x2="235.0337" y2="-486.1104" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_18_);" d="M24.437,82.749c-1.245-1.185,1.595-0.118,1.595-0.118s0.619,0.262,0.343-0.385c-0.246-0.57-1.373-1.963-2.543-3.219l0.144,0.156c0,0,2.346,2.721,2.183,2.966c-0.164,0.245-1.108-0.325-1.108-0.325s-1.401-0.539-1.206,0.13c0.143,0.491,1.059,1.271,1.536,1.649C25.109,83.372,24.798,83.09,24.437,82.749z"/><linearGradient id="SVGID_19_" gradientUnits="userSpaceOnUse" x1="262.6514" y1="-392.9692" x2="243.1559" y2="-487.8355" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_19_);" d="M26.977,84.73c0.424,0.256,0.903,0.513,1.365,0.676c0,0,0.831,0.293,1.337-0.114c0.503-0.403,0.503-0.601,1.238-0.243c0,0,1.388,0.696,2.382,1.444c0.98,0.735,3.557,2.336,4.396,2.791c-0.764-0.417-3.712-2.365-4.633-2.99c-0.936-0.633-2.574-1.698-3.297-1.476c-0.554,0.172-0.474,0.396-0.804,0.555c-0.331,0.158-0.688,0.055-1.504-0.383C27.291,84.9,27.134,84.818,26.977,84.73L26.977,84.73z"/><linearGradient id="SVGID_20_" gradientUnits="userSpaceOnUse" x1="271.5479" y1="-390.9575" x2="251.1904" y2="-490.0176" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_20_);" d="M39.903,91.448c0.37,0.104,0.672,0.06,0.787,0.035c-0.678,0.04-1.35-0.269-1.35-0.269s-0.067-0.021-0.165-0.061C39.413,91.268,39.689,91.385,39.903,91.448z"/><linearGradient id="SVGID_21_" gradientUnits="userSpaceOnUse" x1="274.6582" y1="-395.8442" x2="255.2559" y2="-490.2569" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset="1" stop-color="#E4E5E6"/></linearGradient><path style="fill:url(#SVGID_21_);" d="M44.293,92.169c0,0-1.344-0.163-1.939-0.163c0,0-0.037,0.064,0.226,0.158c-0.021-0.021-0.031-0.049,0.189,0c0.304,0.064,2.018,0.225,2.465,0.158c0.448-0.068-0.091-0.278-0.091-0.278s-0.088-0.041-0.267-0.102C44.553,92.201,44.293,92.169,44.293,92.169L44.293,92.169z"/><path style="opacity:.1;fill:#232323;" d="M4.662,62.045c0.085,0.143,0.198,0.432,0.462,0.725c0.146,0.16,0.266,0.072,0.162-0.525c-0.253-0.182-0.407-0.318-0.464-0.371c-0.113-0.013-0.263-0.297-0.263-0.297s-0.471-0.835-0.274-0.227c0.398,1.23,1.6,3.821,1.6,3.821l1.396,2.47c-0.999-1.803-2.299-4.633-2.44-5.013C4.691,62.223,4.577,61.904,4.662,62.045L4.662,62.045z"/><path style="opacity:.1;fill:#232323;" d="M1.547,32.696l0.032-0.643c0.027-0.122,0.057-0.241,0.087-0.36c0.712-2.789,1.069-3.858,1.425-4.649c0.356-0.792,0.398-0.245,0.398-0.245s0,0.209,0.136,0.234c0.135,0.023,0.324-0.32,0.494-0.826c0.17-0.504,0.604-1.745,0.693-2.212c0.135-0.704-0.051-0.358-0.115-0.354c-0.108,0.005-0.126-0.091-0.113-0.306c0,0,0.382-2.122,3.064-6.563c0.18-0.17,0.321-0.307,0.47-0.449c-0.055-0.052-0.033-0.265,0.001-0.32c0.136-0.214,0.275-0.435,0.422-0.661l-0.09,0.504c0,0-1.85,2.492-3.104,5.694c0,0-0.342,0.835-0.359,1.094c-0.025,0.154-0.104,0.739,0.152,0.582l0.065-0.048c-0.093,0.484-0.295,1.37-0.607,2.325c-0.288,0.878-0.573,1.633-0.841,2.078l-0.002-0.004c-0.08,0.067-0.098-0.016-0.146-0.21c-0.048-0.198-0.113-0.198-0.113-0.198c-0.179,0-0.324,0.202-0.41,0.359c-0.04,0.056-0.089,0.19-0.089,0.19s-0.461,0.934-1.281,4.26c-0.822,3.328-0.836,6.14-0.836,6.14s-0.084,1.309-0.21,1.379c-0.126,0.07-0.097-0.056-0.097-0.056s-0.045-0.052-0.114,0.045c0,0,0.02-0.76,0.044-0.875c0,0,0.041-0.206,0.119-0.206s0.006,0.125,0.048,0.16c0.039,0.032,0.084,0.03,0.075-0.178c-0.005-0.176,0.147-2.816,0.621-5.312L1.547,32.696L1.547,32.696z"/><path style="opacity:.1;fill:#232323;" d="M0.392,41.994c0-0.002,0-0.004,0-0.005c0,0,0.018,0.217,0.042,0.356l-0.003,0.01c0.078,0.357,0.187,0.357,0.187,0.357c0.008-0.096,0.087-0.273,0.183-0.458c0.007,0.106,0.007,0.231-0.004,0.375c-0.037,0.537-0.019,2.466,0.209,4.28c0.225,1.815,0.367,3.349,0.394,3.594c0.029,0.245,0.498,3.283,1.025,5.089c0.285,0.967,0.422,1.344,0.483,1.424l0.008,0.049c0,0,0.097,0.184,0.348,0.32c0,0,0.111-0.097,0.112-0.412c0.018,0.031,0.037,0.065,0.057,0.105c-0.083,0.262-0.105,0.426-0.105,0.426l0,0c-0.042-0.043-0.06-0.031-0.046,0.045c0.067,0.357,0.027,0.68-0.169,0.272c-0.198-0.403-0.8-1.832-1.307-4.251c0,0-0.531-2.659-0.795-5.084l0.042-0.105L0.989,48.29c-0.027-0.248-0.048-0.491-0.067-0.729c0,0-0.255-3.657-0.237-4.562c0.019-0.904-0.085-0.02-0.085-0.02s-0.021,0.219-0.028,0.329c-0.008,0.109-0.103,0.352-0.136-0.246C0.459,43.322,0.392,42.261,0.392,41.994L0.392,41.994z"/><path style="opacity:.1;fill:#232323;" d="M24.672,1.974l-0.53-0.753l-0.066-0.065c0,0-0.131-0.136-0.896,0.038l-0.11,0.022c0,0,0.38-0.094,0.168,0.191c-0.212,0.285-0.56,0.496-1.172,1.15c-0.612,0.655-0.411,0.803-0.01,0.668c0.401-0.138,1.188-0.499,2.606-1.243L24.672,1.974z"/><path style="opacity:.1;fill:#232323;" d="M23.106,1.21c-0.022,0.003-0.036,0.006-0.036,0.006L23.106,1.21z"/><path style="opacity:.1;fill:#232323;" d="M23.637,1.811c0.31-0.272,0.429-0.484,0.454-0.641l-0.015-0.014c0,0-0.131-0.136-0.896,0.038l-0.075,0.015c0.09-0.015,0.303-0.032,0.133,0.198c-0.212,0.285-0.56,0.496-1.172,1.151c-0.612,0.656-0.411,0.803-0.01,0.667c0.106-0.038,0.239-0.088,0.4-0.157C22.599,2.755,23.046,2.325,23.637,1.811z"/><path style="opacity:.1;fill:#232323;" d="M83.482,4.115l-0.2,0.235c0,0,0.136,0.081,0.208,0.141c0.008,0.005,0.014,0.01,0.021,0.012c-0.043-0.034-0.07-0.056-0.07-0.056c-0.023-0.109,0.004-0.223,0.014-0.297L83.482,4.115c0,0,0.055,0.002,0.143,0.011L83.482,4.115L83.482,4.115z"/><path style="opacity:.53;fill:#FFF;" d="M62.559,90.319c0,0,1.686-0.187,3.239-0.691c1.558-0.504,1.935-0.981,1.874-1.341c-0.037-0.238-0.396-0.305-0.906-0.238c0.271-0.021,0.514,0.032,0.354,0.332c-0.313,0.582-0.861,0.782-0.861,0.782s-0.267,0.19-0.89,0.371c-0.806,0.245-1.794,0.375-2.335,0.438c-0.691,0.082-0.521-0.033-1.465,0.291c-0.023,0.016-0.047,0.025-0.065,0.043c-0.289,0.237,1.071,0.514,1.071,0.514s1.302,0.361,3.257,0.23l0.067-0.021c0.267-0.078,0.533-0.161,0.8-0.245c-2.021,0.457-3.324,0.149-3.737,0.095c-0.434-0.058-0.777-0.144-0.88-0.359C61.98,90.305,62.559,90.319,62.559,90.319L62.559,90.319z"/><path style="opacity:.1;fill:#232323;" d="M63.301,4.417l0.717,0.076c1.429-0.405,2.651-0.776,2.651-0.776s1.265-0.41,1.901-0.636c0.635-0.227,1.09-0.313,1.656-0.41c0.563-0.096,1.309-0.14,1.709-0.131c0.398,0.007,0.528,0.122,0.528,0.122s0.166,0.131,0.245,0.27c0.077,0.138,0.74,1.891,2.975,2.005c2.231,0.112,2.261-1.096,2.063-1.464c-0.226-0.427-0.896-0.863-0.896-0.863s-0.898-0.575-1.09-0.846c-0.192-0.271,0.033-0.358,0.104-0.376c0.066-0.018,2.433-0.497,2.729-0.608l0.021-0.02l-0.563-0.174c0,0-0.119,0.134-0.789,0.312c-0.67,0.179-1.233,0.246-1.742,0.313c-0.504,0.067-0.504,0.239-0.504,0.239l-0.879,1.406c0,0-0.029,0.104,0.043,0.305c0.073,0.202,0.41,0.448,0.41,0.448s0.573,0.424,0.99,0.699c0.418,0.275,0.395,0.373,0.395,0.373c-1.123,0.095-1.418-0.048-1.875-0.276c-0.445-0.223-0.76-0.729-0.922-1.086c-0.162-0.357-0.521-0.663-0.521-0.663c-0.589-0.336-1.696-0.343-2.813-0.15c-1.115,0.194-2.656,0.707-2.923,0.812c-0.271,0.104-1.616,0.551-2.309,0.729c-0.694,0.179-1.224,0.357-1.646,0.47c-0.426,0.11-3.431,1.005-4.557,1.339c-1.124,0.333-1.848,0.461-1.848,0.461c-1.688,0.171-2.193-0.134-2.193-0.134c-0.297-0.125-0.262-0.527-0.262-0.527l0.009-1.147c0,0-0.029-0.433-0.356-0.611c-0.328-0.179-0.779-0.252-1.593-0.29c-0.811-0.038-1.683,0.044-2.093,0.134c-0.408,0.09-1.19,0.313-1.764,0.952c-0.573,0.641-0.481,1.141-0.481,1.141s0.035,0.683,0.088,1.19c0.052,0.504,0.484,0.662,0.484,0.662s-0.744,0.532-3.045,1.206c-2.209,0.648-3.682,0.774-3.682,0.774l0.678,0.254c0,0,5.468-1.015,7.148-2.616c0,0,0.624-0.293,0.02-0.88c-0.606-0.585-0.897-0.761-0.897-0.761s-0.41-0.224,0.019-0.771c0.43-0.547,0.923-0.795,1.352-0.933c0.429-0.138,1.753-0.25,2.925-0.093c0,0,0.491,0.041,0.459,0.408c-0.034,0.366-0.088,0.872-0.077,1.028c0.008,0.158,0.023,0.515,0.398,0.845c0.378,0.332,1.099,0.453,1.099,0.453s1.257,0.228,2.843-0.217c1.584-0.445,3.642-1.14,5.431-1.629L63.301,4.417L63.301,4.417z"/><path style="fill:#232323;" d="M-16.122-14.641"/><path style="fill:#616161;" d="M48.462,6.628c0.31,0.207,0.476,0.221,0.5,0.421c0.055,0.339-0.56,0.64-0.56,0.64l-0.006-0.011c0,0-0.431-0.157-0.484-0.664c-0.052-0.505-0.088-1.19-0.088-1.19s0.001,0.2,0.046,0.26C48.004,6.256,48.087,6.378,48.462,6.628z"/><path style="opacity:.17;fill:#FFF;" d="M82.447,79.307l0.451,0.17c1.104-0.617,1.496-0.809,1.759-0.963c1.183-0.703,2.592-1.563,2.963-1.855c0,0,0.761-0.518,0.116,0.195s-0.969,1.007-0.969,1.007s-0.625,0.626-0.471,0.782c0,0,0.166,0.246,1.193-0.687c1.023-0.929,2.15-2.258,2.275-2.44c0.127-0.188,0.146-0.293,0.146-0.293s0.107-0.215,0.273-0.393c0.145-0.15,1.377-1.496,1.994-2.121c0,0,0.002,0.001,0.006,0.003c0.273-0.362,0.541-0.729,0.806-1.102c-0.358,0.379-1.724,1.829-2.483,2.684c0,0-0.713,0.763-0.938,1.056s-0.225,0.47-0.225,0.47s-0.117,0.196-0.392,0.519s-1.24,1.186-1.24,1.186s-0.577,0.47-0.754,0.478c-0.179,0.011,0.431-0.538,0.431-0.538s0.588-0.625,0.967-1.123c0.382-0.498,0.137-0.47,0.137-0.47s-0.186-0.049-0.986,0.459c-0.8,0.508-1.367,0.858-1.367,0.858s-1.722,0.986-2.814,1.623c-1.096,0.636-3.6,1.908-5.021,2.492c-1.43,0.588-2.162,0.715-2.035,0.527c0.127-0.186,0.461-0.459,0.461-0.459s0.399-0.4,0.399-0.803c0,0,0.128-0.586-1.604-0.223c-1.729,0.36-3.293,1.213-3.293,1.213s-2.571,1.182-1.965,1.887c0,0,0.117,0.186,0.635,0.352c0.52,0.166-0.92,0.606-0.92,0.606c-1.365,0.448-2.413,0.651-3.74,0.926c-1.963,0.403-3.564,0.761-4.165,0.894c-0.165,0.035-0.253,0.059-0.253,0.059s-1.212,0.292-3.229,1.072c-2.015,0.783-5.972,1.43-5.972,1.43s-2.542,0.293-2.777,0.627c-0.234,0.331,0.177,0.499,0.177,0.499s0.362,0.224,1.671,0.283c0,0,0.451,0,0.471,0.036c0.018,0.039,0.046,0.068-0.235,0.156c-0.286,0.088-0.854,0.314-2.778,0.558c-1.936,0.245-1.896-0.067-1.896-0.067s-0.01-0.076,0.078-0.216c0.087-0.134,0.009-0.369-0.293-0.535c0,0-0.419-0.272-1.829-0.262c-1.408,0.009-4.212,0.017-6.833-0.14c-2.374-0.143-5.59-0.551-6.099-0.664c0,0-0.117-0.029-0.206-0.117c-0.088-0.09-0.646-0.422-1.164-0.733c-0.517-0.313-2.073-0.907-2.073-0.907s-2.011-0.783-1.945-0.521c0.015,0.063,0.13,0.153,0.268,0.246c0.351,0.188,0.704,0.375,1.06,0.56l0.002-0.002c0,0-0.743-0.402-0.538-0.402s0.438,0.109,0.438,0.109s1.213,0.332,1.966,0.686c0.753,0.353,1.407,0.83,1.407,0.83s0.929,0.549,2.319,0.732c1.346,0.182,3.174,0.389,3.777,0.448l0.594-0.272l0.433,0.354c1.106,0.068,2.575,0.146,2.575,0.146s2.976,0.111,4.605-0.019c0.733-0.063,0.507,0.317,0.507,0.317s-0.214,0.354,0.206,0.529c0,0,0.771,0.439,3.343,0.157c2.573-0.286,3.138-0.862,3.138-0.862s0.299-0.275-0.351-0.398c-0.513-0.1-0.513-0.051-1.175-0.117c-0.665-0.067-0.998-0.205-0.557-0.323c0.441-0.114,1.174-0.175,1.174-0.175s2.249-0.313,4.066-0.783c0,0,1.938-0.458,3.861-1.134c0.756-0.265,1.395-0.459,1.887-0.599l0.438-0.644l0.644,0.372c0.065-0.014,0.103-0.021,0.103-0.021s2.306-0.539,3.274-0.703c0.966-0.168,3.154-0.637,4.087-1.086c0.928-0.448,1.396-0.805,1.505-1.075c0.107-0.272-0.393-0.431-0.393-0.431s-0.588-0.138-0.508-0.34c0.075-0.205,0.293-0.382,1.213-0.793c0.918-0.41,2.07-0.859,3.227-1.144c1.154-0.282,0.732,0.194,0.732,0.194s-0.692,0.705-0.783,0.979c-0.086,0.273,0.029,0.285,0.119,0.333c0.088,0.05,0.646,0.028,1.022-0.067c0.383-0.099,3.464-1.271,5.341-2.347c0.049-0.026,0.094-0.054,0.139-0.08L82.447,79.307z"/><linearGradient id="SVGID_22_" gradientUnits="userSpaceOnUse" x1="221.1826" y1="-454.5649" x2="221.373" y2="-454.5649" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#808080"/><stop offset=".0868" stop-color="#7A7A7A"/><stop offset=".36" stop-color="#6B6B6B"/><stop offset=".5192" stop-color="#686868"/><stop offset=".6377" stop-color="#5F5F5F"/><stop offset=".7431" stop-color="#4E4E4E"/><stop offset=".8408" stop-color="#383838"/><stop offset=".9324" stop-color="#1B1B1B"/><stop offset="1" stop-color="#000"/></linearGradient><path style="opacity:.68;fill:url(#SVGID_22_);" d="M7.432,68.01l0.178,0.131c-0.105-0.099-0.167-0.155-0.167-0.155s-0.008,0.003-0.024,0.003C7.423,67.993,7.429,68.002,7.432,68.01L7.432,68.01z"/><linearGradient id="SVGID_23_" gradientUnits="userSpaceOnUse" x1="221.4043" y1="-449.8027" x2="316.0254" y2="-449.8027" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#808080"/><stop offset=".0868" stop-color="#7A7A7A"/><stop offset=".3817" stop-color="#828282"/><stop offset=".5185" stop-color="#808080"/><stop offset=".5677" stop-color="#797979"/><stop offset=".6027" stop-color="#6E6E6E"/><stop offset=".608" stop-color="#6B6B6B"/><stop offset="1" stop-color="#4E4E4E"/></linearGradient><path style="opacity:.43;fill:url(#SVGID_23_);" d="M90.412,59.954l-0.371-0.021c-1.807,1.463-2.342,1.938-3.781,2.955c0,0-1.644,1.228-3.44,2.196c-1.804,0.97-3.919,0.853-3.919,0.853s-0.573-0.062-0.295-0.477c0.275-0.415,0.634-1.425,0.771-1.938c0.141-0.516,0.415-1.82-0.633-2.235s-3.018,0.196-3.018,0.196s-4.525,1.205-6.371,3.23c-1.793,1.969-0.286,2.846-0.286,2.846s0.702,0.49,1.386,0.73c0.645,0.229,0.516,0.436,0.354,0.555c0,0-2.021,1.287-4.408,1.974c0,0-3.268,1.001-6.441,1.206c-3.154,0.203-4.495,0.283-4.495,0.283l-0.399,0.379l-0.758-0.252c-1.283,0.154-3.455,0.463-5.596,0.979c-2.622,0.64-5.123,1.147-6.903,2.296c0,0-1.333,0.887-0.566,1.746c0.765,0.862,1.565,1.23,1.565,1.23s0.472,0.207,0.464,0.336c-0.009,0.164-0.015,0.309-0.367,0.512c0,0-1.394,0.814-4.108,0.859c-2.714,0.045-3.911,0.021-4.707-0.695c-0.658-0.591,0.165-1.844,0.165-1.844s0.33-0.612,0-1.453c-0.33-0.84-2.218-0.854-2.218-0.854l-2.615-0.134c-3.095-0.081-7.182-0.427-9.001-0.653c0,0-0.012-0.002-0.033-0.006l-0.006,0.166l-0.721-0.303c-1.139-0.221-3.243-0.668-4.075-1.084c-0.759-0.38-1.167-0.313-1.066-1.102c0.101-0.769-0.753-1.836-0.753-1.836s-1.188-1.287-2.257-2.086c-1.069-0.804-1.523-0.564-1.523-0.564s-0.484,0.258-0.049,1.296c0.436,1.04,0.86,1.403,0.86,1.403s0.208,0.22,0.089,0.279c-0.118,0.06-0.484-0.219-0.789-0.478c-0.253-0.21-1.885-1.742-2.456-2.276l0.105,0.356c0.019,0.028,0.035,0.062,0.052,0.086c0.184,0.291,0.855,1.269,2.155,2.28c1.549,1.213,1.559,0.729,1.559,0.729s0.061-0.399-0.297-0.84c-0.359-0.44-0.934-1.373-0.791-1.715c0.144-0.339,0.309-0.31,0.309-0.31s0.133-0.051,0.596,0.299c0.462,0.351,1.498,1.076,2.011,1.703c0.513,0.623,0.48,1.181,0.48,1.181s-0.102,0.563,0.453,1.17c0.553,0.604,1.733,1.714,5.859,2.351c0.025,0.004,0.034,0.006,0.059,0.01l0.193-0.551l0.573,0.663c3.598,0.521,5.555,0.563,5.555,0.563s4.709,0.162,5.982,0.162c1.272,0,1.035,0.666,1.035,0.666s-0.072,0.359-0.225,0.646c-0.155,0.287-0.524,1.365-0.144,1.939c0,0,0.585,1.427,4.381,1.527c0,0,3.324,0.268,5.643-0.688c2.319-0.954,0.226-2.275,0.226-2.275s-0.794-0.481-1.13-0.739c-0.308-0.234-0.184-0.481-0.121-0.646c0.06-0.162,0.297-0.359,0.563-0.492c0.266-0.134,1.239-0.654,5.365-1.722c4.124-1.069,6.587-1.183,6.587-1.183s0.02-0.002,0.055-0.004l0.338-0.656l0.854,0.556c0.732-0.06,1.681-0.129,2.526-0.171c1.691-0.082,4.341-0.471,5.879-0.807c1.54-0.343,3.869-1.062,5.592-1.951c1.725-0.895,1.809-1.519,1.809-1.519s0.328-0.475-0.392-0.995c-0.719-0.523-1.036-0.382-1.673-1.027c-0.637-0.646,0.557-1.62,0.557-1.62s0.612-0.861,4.021-2.175c3.403-1.313,3.979-0.873,4.153-0.729s0.195,0.615,0.123,0.935c-0.069,0.317-0.494,1.455-0.721,2.053c-0.227,0.594-0.316,1.406,0.605,1.601c0.923,0.194,2.215-0.008,3.428-0.442c2.893-1.033,3.756-2.295,8.534-5.764c0.012-0.008,0.021-0.017,0.03-0.021L90.412,59.954l0.689,0.108c1.978-1.573,3.869-3.571,3.869-3.571s1.258-1.261,1.889-2.356c0.595-1.026,0.027,0.89,0.027,0.89s-0.32,1.516,0.19,2.077c0.405,0.445,1.563-0.795,1.563-0.795s0.688-0.789,0.965-2.061c0.408-1.875,0.185-2.248,0.185-2.248s-0.246-0.389-0.093-0.852c0.154-0.459,1.158-3.047,1.98-4.01l0.502-0.563c0-0.008,0.002-0.02,0.002-0.027l-0.224-0.557l0.304-0.512c0,0-0.279,0.322-1.404,2.177c-1.266,2.087-1.467,3.771-1.467,3.771s-0.119,0.653-0.054,1.034c0.063,0.355,0.188,0.519,0.192,0.622c0.009,0.104-0.073,0.959-0.508,1.773c-0.438,0.814-0.815,1.031-0.815,1.031s-0.756,0.545-0.86,0.157c-0.104-0.39-0.074-0.72-0.035-0.966c0.035-0.248,0.289-1.579,0.252-2.072c-0.035-0.494-0.479-0.098-0.479-0.098s-0.104,0.119-0.298,0.366s-1.288,1.637-1.705,2.125c-0.988,1.157-1.886,1.989-4.292,3.93c-0.007,0.003-0.015,0.011-0.019,0.015L90.412,59.954L90.412,59.954z"/><linearGradient id="SVGID_24_" gradientUnits="userSpaceOnUse" x1="214.5928" y1="-431.356" x2="314.4043" y2="-431.356" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#555555"/><stop offset="1" stop-color="#231F20"/></linearGradient><path style="opacity:.31;fill:url(#SVGID_24_);" d="M1.193,48.543l0.104,0.975c0.235,0.285,0.577,0.677,1.071,1.187c1.084,1.121,1.427,0.416,1.427,0.416s0.253-0.705-0.054-1.985C3.434,47.85,3.488,47.09,4.066,47.11c0.578,0.019,2.258,0.361,2.782,1.752c0,0,0.217,0.649,0.018,1.479c-0.2,0.834-0.162,1.57-0.018,2.295c0.145,0.725,0.759,1.407,1.464,1.971c0.706,0.562,2.746,1.535,4.734,1.66c1.987,0.127,2.601,0.021,2.601,0.021l0.746-0.767l0.134,0.668c0.812-0.09,2.116-0.229,3.62-0.393c2.528-0.271,4.227-0.544,5.798-0.308c1.573,0.235,2.079,1.462,2.079,1.462s0.108,0.314-0.253,0.544c-0.349,0.224-0.749,0.547-0.948,0.89c-0.199,0.346-0.411,1.068,0.16,2.035c0.572,0.963,2.142,1.592,3.478,1.432c1.335-0.155,3.335-0.67,4.52-0.979c1.287-0.337,2.424-0.971,2.572-1.98c0.147-1.008-1.534-2.295-1.534-2.295s-0.812-0.609-0.91-0.75c-0.1-0.139,0.099-0.197,0.099-0.197s0.949-0.229,1.357-0.414c0.404-0.189,1.522-0.646,3.353-1.219s5.608-1.248,5.608-1.248s2.084-0.332,4.685-0.543l0.622-0.702l0.485,0.625c0.409-0.024,0.825-0.046,1.243-0.063c3.572-0.129,5.344-0.554,7.242-0.979c1.897-0.427,4.568-1.978,4.965-2.276c0.396-0.295,1.229-0.66,1.396-1.957c0.168-1.295-1.364-2.157-1.364-2.157s-1.218-0.644-1.475-0.93c-0.258-0.287-0.02-0.562-0.02-0.562s0.689-1.485,2.896-2.354c2.205-0.872,3.689-1.107,4.618-1.208c0.932-0.099,1.245,0.237,1.374,0.396c0.128,0.157,0.128,0.485,0.021,0.821c-0.102,0.308-0.444,1.038-0.645,1.395c-0.197,0.356-0.523,1.216-0.316,1.622c0.208,0.405,0.843,0.593,1.662,0.445c0.821-0.149,2.988-0.761,4.888-1.553c1.9-0.792,5.073-2.345,5.073-2.345s0.009-0.004,0.022-0.012l0.086-0.729l0.729,0.295c1.02-0.562,2.764-1.58,4.01-2.631c1.871-1.573,3.699-3.225,4.166-3.639c0.465-0.417,0.892-0.752,1.307-0.732c0.414,0.021,0.732,0.317,0.988,1.434c0.258,1.118,0.308,2.038,0.426,2.582c0.117,0.543,0.285,1.175,0.931,1.304c0.646,0.129,1.513-0.434,1.838-0.713c0.33-0.276,0.92-1.176,0.882-2.382c0,0,0.068-1.604-0.761-3.127c0,0-0.351-0.614-0.479-0.782c-0.088-0.118-0.155-0.238-0.01-0.525c0.148-0.286,0.467-0.821,1.062-1.156c0.448-0.256,0.88-0.316,1.128-0.396c0,0,0.275-0.067,0.626-0.261l-0.126-0.412l0.289,0.316c0.404-0.239,0.652,0.045,0.652,0.045l-0.392-0.501l0.119-0.484c0,0-0.304-0.163-0.685-0.088c-0.383,0.078-0.42,0.362-1.014,0.458c-0.593,0.096-1.275,0.306-1.945,1.319c-0.67,1.011,0,2.271,0,2.271s0.359,0.592,0.533,0.896c0.172,0.306,1.066,2.215,0.037,3.608c0,0-0.552,0.643-1.525,0.86c-0.86,0.19-0.642-0.816-0.729-1.355c0,0-0.129-2.281-1.237-3.588c-0.976-1.146-2.746,0.888-3.629,1.566c-0.822,0.629-3.228,3.112-6.684,4.925l-0.51,0.892l-0.324-0.472c-1.658,0.827-5.418,2.656-7.87,3.514c0,0-1.875,0.762-2.64,0.782c0,0-0.17,0.006-0.034-0.179c0.133-0.185,0.276-0.322,0.507-0.737c0.23-0.418,0.646-1.357,0.646-2.327c0-0.969-1.119-1.917-2.68-1.748c-1.561,0.167-3.052,0.6-4.849,1.292c-1.796,0.692-3.343,2.159-3.55,3.375c-0.209,1.216,1.105,1.92,1.105,1.92s1.484,0.751,1.674,1.157c0.188,0.406,0.049,0.783,0.049,0.783s-0.129,0.406-0.783,0.782c-0.649,0.377-2.42,1.287-2.42,1.287s-2.207,1.217-5.562,1.512c0,0-3.058,0.26-4.817,0.348c-0.022,0.002-0.046,0.002-0.069,0.003l-0.541,0.53l-0.587-0.449c-1.64,0.136-3.54,0.359-3.54,0.359s-4.29,0.609-8.219,1.822c-3.336,1.027-3.971,1.594-3.971,1.594s-0.711,0.596-0.118,1.453c0,0,0.341,0.539,1.03,1.08c0.685,0.541,1.237,1.057,1.159,1.317c-0.08,0.265-0.29,0.382-0.29,0.382s-0.961,0.856-4.894,1.518c0,0-2.531,0.488-3.31-0.275c-0.778-0.766-0.435-1.279-0.435-1.279s0.052-0.173,0.62-0.527c0,0,0.951-0.596,0.647-1.727c-0.303-1.135-2.129-2.545-4.101-2.533c0,0-2.303,0.006-8.196,0.762c0,0-0.008,0-0.027,0.005l-0.204,0.501l-0.605-0.393c-0.324,0.039-0.713,0.076-1.114,0.107c-1.012,0.07-2.477-0.057-4.3-0.596c-1.824-0.543-2.963-1.535-3.126-2.133c-0.114-0.412,0.035-0.996,0.035-0.996S7.62,50.2,7.405,49.115c-0.22-1.083-0.582-1.934-1.631-2.567c-1.048-0.632-1.643-0.522-1.643-0.522s-0.939-0.144-0.904,1.446c0.037,1.59,0.235,2.256,0.235,2.256s0.181,0.562-0.108,0.635c-0.288,0.072-0.74-0.361-0.74-0.361s-1.021-0.924-1.619-1.688l0.048,0.066l-0.214,0.525c0,0,0.067,0.115,0.266,0.375L1.193,48.543L1.193,48.543z"/><linearGradient id="SVGID_25_" gradientUnits="userSpaceOnUse" x1="214.8965" y1="-410.8818" x2="306.501" y2="-410.8818" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#A0A0A0"/><stop offset=".0769" stop-color="#656767"/><stop offset="1" stop-color="#717375"/></linearGradient><path style="opacity:.34;fill:url(#SVGID_25_);" d="M91.075,11.742l0.183,0.846c0,0-0.563,0.313-1.678,0.613c-1.113,0.3-2.188,0.801-2.188,0.801s-0.89,0.289-0.551,1.013c0.338,0.726,0.838,1.076,0.838,1.076s0.711,0.69,0.736,1.213c0.021,0.526-0.199,0.765-0.764,1.076c-0.563,0.313-1.075,0.375-1.075,0.375s-1.338,0.24-2.001-0.387c-0.663-0.626-0.787-1.663-0.787-1.663s-0.05-0.876-1.148-1.251c-1.102-0.375-2.453,0.425-2.453,0.425s-1.063,0.563-2.2,1.3c-1.14,0.738-3.291,1.64-4.642,2.114l-0.152,0.699l-0.758-0.382c-1.422,0.489-3.271,1.109-3.271,1.109S66.652,21.645,65,21.871c-1.648,0.224-2.016-0.014-2.238-0.238c-0.228-0.224,0.039-1.012,0.039-1.012s0.674-1.376,0.348-2.09c-0.324-0.714-2.451-0.9-2.486-0.9c-0.04,0-2.318-0.265-4.451,0.932c-1.895,1.062-2.143,1.642-2.143,1.642s-0.604,0.938,0.113,1.867c0.807,1.051,1.879,1.146,1.879,1.146s1.021,0.079,1.258,0.38c0.24,0.299,0.076,0.626,0.076,0.626s-0.336,0.925-2.228,1.312c0,0-3.181,0.933-9.113,1.776l-0.582,0.579c-3.743,0.47-8.143,1.363-10.555,1.989c-2.412,0.627-2.553,1.317-2.553,1.317c-0.519,0.813,0.141,1.236,0.141,1.236s0.829,0.283,1.017,1.19c0.19,0.91-0.783,1.629-0.783,1.629s-1.159,0.972-2.898,1.269c-1.739,0.297-2.396,0.35-3.429-0.47c-0.91-0.721-0.298-1.863,0.312-2.301c0.612-0.438,0.909-0.91,0.988-1.112c0.079-0.204,0.032-0.377,0.032-0.377l-0.58-0.534c-2.005-1.33-9.883,0.063-9.883,0.063s0,0.002,0,0l-1.341,0.289l-0.673-0.435c0,0-2.291,0.604-4.876,0.589c-2.712-0.014-1.27-2.128-1.27-2.128s0.638-1.118,0.75-1.764c0,0,0.224-1.745-1.42-1.631c-1.645,0.112-1.968,1.546-1.968,1.546s-0.112,0.801-0.089,1.392c0.021,0.594-0.002,1.847-0.742,2.56c-0.737,0.713-1.529,0.495-1.529,0.495s-1.331-0.582-1.595-0.718c-0.274-0.142-0.517-0.151-0.751-0.066c-0.02,0.007-0.039,0.018-0.057,0.029l-0.175,0.75l0.025-0.623c-0.156,0.176-0.271,0.42-0.271,0.42l0.088,0.327l-0.248,0.565c-0.002,0.012-0.005,0.023-0.006,0.035l0.008,0.003c0,0,0.087-0.196,0.222-0.357l0.182-0.369L1.493,32.94c0.055-0.044,0.112-0.07,0.172-0.074c0.281-0.017,0.629,0.158,0.629,0.158s1.135,0.611,1.642,0.716s0.875-0.065,1.205-0.292c0.527-0.365,1.143-1.121,1.4-1.839c0.229-0.646,0.279-2.394,0.279-2.394l0.004,0.014c0,0,0-0.421-0.011-0.518c-0.012-0.098-0.075-0.553,0.204-0.783c0.278-0.234,0.459-0.347,1.144-0.364c0.68-0.017,0.886,0.38,0.886,0.38S9.28,28.269,9.28,28.48c0,0.21-0.068,0.34-0.068,0.34s-0.371,0.626-0.5,0.934c-0.13,0.307-0.636,1.323-0.489,2.177c0.148,0.852,1.479,1.251,1.479,1.251s1.062,0.25,2.575,0.027l3.12-0.503l0.543-0.624l0.218,0.474c0.805-0.147,2.14-0.369,3.583-0.511c2.326-0.228,4.787-0.262,5.821-0.132c0,0,0.484,0.061,0.405,0.234c-0.062,0.136-0.421,0.415-0.421,0.415s-0.135,0.081-0.654,0.667s-0.671,1.155-0.693,1.661c-0.024,0.505,0.516,1.995,2.415,2.394c1.901,0.397,4.077-0.341,4.077-0.341s1.427-0.314,2.786-1.674c1.41-1.411,0.012-3.108,0.012-3.108s-0.22-0.304-0.647-0.442c0,0-0.187-0.05-0.079-0.17c0.108-0.12,0.37-0.647,1.37-0.905c1-0.257,3.977-1.198,11.065-2.135l0.274-0.617l0.874,0.459c2.708-0.373,4.551-0.694,7.827-1.454c0,0,3.04-0.539,3.675-1.651c0.368-0.65,1.032-1.539-0.045-2.434c0,0-0.125-0.161-0.791-0.312c-0.666-0.151-1.179-0.252-1.738-0.653c-0.563-0.403-0.551-0.869-0.551-0.869s-0.047-0.445,0.862-0.958c0,0,0.851-0.623,2.54-1.158c1.691-0.533,3.648-0.296,3.648-0.296s0.82,0.089,0.685,0.643c-0.14,0.555-0.604,1.482-0.622,1.959c-0.021,0.474,0.012,1.027,0.938,1.414c0.931,0.386,2.267,0.266,2.267,0.266s1.386-0.069,3.647-0.801c2.265-0.731,4.594-1.573,4.594-1.573l-0.094-0.483l0.971,0.173c0.591-0.22,1.406-0.539,2.285-0.936c1.801-0.81,2.656-1.488,3.48-1.958c0,0,1.815-1.118,2.887-1.088c0,0,0.25-0.009,0.272,0.32c0.022,0.329,0.104,0.814,0.218,1.096c0.111,0.281,0.734,1.822,2.729,2.048c1.993,0.228,2.846-1.118,2.846-1.118s0.683-1.049-0.493-2.296c0,0-0.961-1.028-0.99-1.107c0,0-0.104-0.155,0.168-0.233c0.269-0.078,3.152-0.884,4.268-1.398c0,0,0.012-0.005,0.036-0.015l-0.271-0.485l0.535,0.365c0.202-0.101,0.449-0.246,0.544-0.395c0.171-0.271-0.054-0.797-0.054-0.797l0.006-0.007c-0.133-0.184-0.266-0.366-0.4-0.546l-0.606-0.256l-0.06,0.033L91.075,11.742"/><path style="opacity:.1;fill:#232323;" d="M8.12,16.324l-0.291,0.435c0.134-0.023,0.244-0.056,0.244-0.056s0.404-0.066,1.112,0.12c0.917,0.244,2.067-0.496,2.067-0.496s0.872-0.523,1.274-1.381l0.361-1.005c0,0,0.291-0.972,1.105-1.281c0,0,0.317-0.171,0.831-0.177c0.513-0.005,0.392,0.354,0.392,0.354s-0.056,0.233-0.586,0.912c-0.529,0.677-0.671,1.196-0.671,1.196s-0.318,0.722,0.193,0.957c0,0,0.24,0.141,0.939-0.091c0.7-0.233,3.02-0.843,4.438-1.06l0.993-0.506c-0.313-0.23-0.602-0.444-0.602-0.444c-2.388,0.442-4.168,0.995-4.775,1.226c-0.609,0.23-0.62,0.082-0.62,0.082c-0.211-0.248,0.435-1.022,0.435-1.022s0.655-0.894,0.913-1.715c0.259-0.82-0.892-0.707-0.892-0.707c-0.758,0.121-1.303,0.48-1.93,1.236c-0.486,0.586-0.782,1.389-0.893,1.814c-0.071,0.267-0.193,0.515-0.193,0.515s-0.091,0.165-0.45,0.322c-0.416,0.182-1.228,0.396-1.228,0.396s-0.54,0.045-0.931-0.15c-0.24-0.118-0.901,0.05-0.901,0.05l0.091-0.504l-0.082-0.032l-0.683,0.383c-0.115,0.189-0.228,0.379-0.341,0.569c-0.063,0.146-0.179,0.475,0.044,0.51c0.05,0.008,0.113,0.008,0.164,0.008L8.12,16.324L8.12,16.324z"/><path style="opacity:.1;fill:#232323;" d="M13.295,9.19c0,0,0.342-0.271,0.342-0.026c0,0.248-0.333,0.69-0.333,0.69s-0.107,0.134-0.172,0.134C13.068,9.987,13.15,9.516,13.295,9.19L13.295,9.19z"/><path style="fill:#232323;" d="M-16.122-14.641"/><path style="opacity:.1;fill:#232323;" d="M10.595,12.501c0,0-0.388,0.46,0,0.52l0.838-0.828c-0.037-0.037-0.054-0.055-0.157-0.112C11.277,12.081,10.752,12.343,10.595,12.501L10.595,12.501z"/><path style="opacity:.3;fill:#FFF;" d="M77.807,85.745c0,0-1.75,0.806-3.396,1.603c-1.647,0.803-2.25,1.14-2.25,1.14s-0.088,0.049-0.031,0.082c0.056,0.028-0.008,0.063-0.008,0.063c-0.847,0.409-2.703,1.07-2.703,1.07s-0.167,0.057-0.157,0.02c0.006-0.041,0.199-0.105,0.199-0.105s0.381-0.146,0.283-0.217c-0.098-0.072-1.21,0.305-1.21,0.305s-1.949,0.621-2.894,0.887c-0.941,0.269-2.75,0.735-2.75,0.735c-1.201,0.298-3.75,0.798-4.315,0.901c-0.562,0.104-0.417,0.064-0.417,0.064s0.492-0.189-0.411-0.226c-1.146-0.05-2.362,0.112-3.612,0.288c-1.25,0.18-1.178,0.324-1.178,0.324s-0.04,0.154,0.708,0.14c0.752-0.019,0.534,0.046,0.534,0.046c-1.396,0.202-4.2,0.238-4.2,0.238l0.005,0.01c0.456,0.014,0.916,0.018,1.376,0.018c0.608,0,1.218-0.01,1.822-0.031c0.241-0.021,1.483-0.15,1.925-0.244c0.486-0.105-0.093-0.105-0.093-0.105l-0.74-0.023c0,0-0.776-0.026-0.052-0.158c0.729-0.133,1.834-0.192,2.388-0.252c0.83-0.094,0.541,0.105,0.541,0.105l-0.04,0.023c0,0,0.014,0.094,0.528,0.066c0.515-0.024,4.721-0.804,7.069-1.487c2.347-0.688,4.102-1.255,4.102-1.255s0.157-0.055,0.066,0.025c-0.094,0.078-0.463,0.2-0.463,0.2s-0.595,0.3,0.844-0.108c0.066-0.02,0.134-0.039,0.197-0.06c1.234-0.469,2.446-0.983,3.635-1.543c0.029-0.028,0.131-0.146-0.021-0.101c-0.172,0.056,0-0.065,0.187-0.131c0.184-0.066,2.267-1.162,3.363-1.608l0.002,0.003c0.394-0.227,0.781-0.455,1.17-0.691L77.807,85.745L77.807,85.745z"/><linearGradient id="SVGID_26_" gradientUnits="userSpaceOnUse" x1="217.6563" y1="-436.751" x2="217.6563" y2="-436.751" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset=".078" stop-color="#F4F4F4"/><stop offset=".3807" stop-color="#CECECE"/><stop offset=".5396" stop-color="#BFBFBF"/><stop offset=".8357" stop-color="#7C7C7C"/><stop offset=".8996" stop-color="#A8A8A8"/><stop offset=".9093" stop-color="#9A9A9A"/><stop offset=".9327" stop-color="#7D7D7D"/><stop offset=".9558" stop-color="#686868"/><stop offset=".9785" stop-color="#5B5B5B"/><stop offset="1" stop-color="#575757"/></linearGradient><path style="fill:url(#SVGID_26_);" d="M3.893,50.249L3.893,50.249L3.893,50.249z"/><linearGradient id="SVGID_27_" gradientUnits="userSpaceOnUse" x1="214.3262" y1="-436.5107" x2="322.8717" y2="-424.4851" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset=".078" stop-color="#F4F4F4"/><stop offset=".3807" stop-color="#CECECE"/><stop offset=".5396" stop-color="#BFBFBF"/><stop offset=".8357" stop-color="#7C7C7C"/><stop offset=".8996" stop-color="#A8A8A8"/><stop offset=".9093" stop-color="#9A9A9A"/><stop offset=".9327" stop-color="#7D7D7D"/><stop offset=".9558" stop-color="#686868"/><stop offset=".9785" stop-color="#5B5B5B"/><stop offset="1" stop-color="#575757"/></linearGradient><path style="fill:url(#SVGID_27_);" d="M1.193,48.543l0.107,0.98c0.236,0.285,0.579,0.675,1.067,1.181c1.084,1.121,1.428,0.416,1.428,0.416s0.072-0.201,0.092-0.586c-0.042,0.216-0.209,0.403-0.788-0.056c-0.298-0.237-0.688-0.627-1.076-1.049c-0.326-0.326-0.723-0.742-1.021-1.117l0.048,0.065l-0.213,0.526c0,0,0.069,0.115,0.268,0.376L1.193,48.543L1.193,48.543z"/><linearGradient id="SVGID_28_" gradientUnits="userSpaceOnUse" x1="213.8887" y1="-436.4771" x2="336.8819" y2="-422.851" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#FFF"/><stop offset=".078" stop-color="#F4F4F4"/><stop offset=".3807" stop-color="#CECECE"/><stop offset=".5396" stop-color="#BFBFBF"/><stop offset=".8357" stop-color="#7C7C7C"/><stop offset=".8996" stop-color="#A8A8A8"/><stop offset=".9093" stop-color="#9A9A9A"/><stop offset=".9327" stop-color="#7D7D7D"/><stop offset=".9558" stop-color="#686868"/><stop offset=".9785" stop-color="#5B5B5B"/><stop offset="1" stop-color="#575757"/></linearGradient><path style="fill:url(#SVGID_28_);" d="M3.741,49.133c-0.006-0.027-0.013-0.054-0.02-0.078c0.012,0.088,0.028,0.179,0.043,0.272c0,0,0.094,0.394,0.12,0.753C3.87,49.813,3.83,49.498,3.741,49.133z"/><linearGradient id="SVGID_29_" gradientUnits="userSpaceOnUse" x1="411.2539" y1="557.002" x2="507.2363" y2="537.6277" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset="1" stop-color="#BFC0C2"/></linearGradient><path style="fill:url(#SVGID_29_);" d="M99.696,28.566l0.29,0.316c0.406-0.238,0.654,0.045,0.654,0.045l-0.386-0.494c-0.383,0.082-1.093,0.256-2.233,0.61c0,0-1.353,0.594-1.59,1.532c-0.016,0.332,0.049,0.641,0.116,0.876c0.753,1.429,0.913,1.666,0.913,1.666c0.499,1.091,0.422,1.993,0.25,2.824c-0.188,0.921-1.188,1.668-1.794,1.842c-0.608,0.171-0.953,0-1.14-0.483c-0.188-0.485-0.157-0.845-0.438-2.34c-0.28-1.499-0.653-2.2-1.216-2.372c-0.563-0.173-1.313,0.468-1.749,0.811c-0.438,0.344-2.417,2.152-2.417,2.152s-2.324,2.091-5.743,4.026c-3.417,1.935-7.69,3.418-7.69,3.418s-2.842,1.092-3.525,0.998c-0.688-0.093-0.516-0.718-0.297-1.076c0.219-0.36,0.516-0.937,0.766-1.545c0.313-0.756,0.201-1.654-0.359-1.967c-0.562-0.311-1.248-0.468-3.523,0.094s-3.197,1.076-3.838,1.451c-0.643,0.376-1.576,1.233-1.842,1.716c-0.266,0.484-0.563,0.983,0.126,1.576c0.688,0.594,0.763,0.485,1.56,1.046c0.797,0.562,0.922,0.64,0.969,1.466c0.045,0.827-0.766,1.341-0.766,1.341s-3.123,2.082-6.602,2.777c-2.34,0.469-6.833,0.639-6.833,0.639s-1.327-0.045-5.384,0.547c-4.056,0.594-6.787,1.514-7.738,1.856c-0.952,0.343-2.34,0.81-3.136,1.17c-0.795,0.358-0.375,0.89-0.203,1.015c0.172,0.123,1.185,1.074,1.498,1.354c0.312,0.282,1.466,1.279,0.108,2.108c-1.356,0.826-3.603,1.264-3.603,1.264s-3.121,0.654-4.119,0.234c-1.001-0.422-1.2-0.778-1.452-1.358c-0.313-0.718-0.016-1.263,0.794-1.78c0.77-0.486,0.469-1.199,0.469-1.199c-0.983-1.9-3.058-2.058-4.774-1.936c-2.72,0.198-5.358,0.471-7.425,0.734c-3.059,0.39-4.541-0.063-5.992-0.516c-1.452-0.453-2.997-1.529-3.154-2.498c-0.027-0.097-0.039-0.199-0.042-0.307c-0.078-0.758,0.074-1.146,0.184-1.784c0.108-0.625-0.043-1.532-0.084-1.758c-0.008-0.026-0.016-0.058-0.023-0.085c-0.507-1.304-1.725-1.903-2.668-2.058c-0.953-0.157-0.983,0.857-0.983,0.857s-0.002,0.012-0.006,0.04c0.078-0.208,0.222-0.315,0.444-0.31c0.577,0.02,2.259,0.361,2.781,1.754c0,0,0.218,0.648,0.019,1.479c-0.199,0.832-0.162,1.571-0.019,2.295c0.145,0.725,0.759,1.408,1.465,1.969c0.704,0.562,2.745,1.535,4.734,1.66c1.814,0.117,2.483,0.037,2.587,0.023l0.759-0.768l0.135,0.666c0.81-0.088,2.115-0.229,3.619-0.394c2.529-0.271,4.227-0.541,5.8-0.306c1.572,0.232,2.078,1.463,2.078,1.463s0.107,0.313-0.253,0.542c-0.349,0.226-0.75,0.548-0.947,0.891c-0.2,0.345-0.411,1.066,0.159,2.033c0.572,0.965,2.142,1.595,3.478,1.435c1.336-0.158,3.336-0.672,4.521-0.98c1.286-0.336,2.424-0.969,2.572-1.979c0.148-1.009-1.534-2.297-1.534-2.297s-0.81-0.611-0.909-0.75c-0.1-0.14,0.099-0.197,0.099-0.197s0.95-0.229,1.356-0.416c0.403-0.19,1.523-0.644,3.353-1.217c1.831-0.572,5.609-1.248,5.609-1.248s2.09-0.332,4.694-0.543l0.612-0.705l0.493,0.627c0.406-0.023,0.819-0.045,1.235-0.061c3.572-0.129,5.343-0.555,7.24-0.979c1.897-0.426,4.569-1.979,4.965-2.276c0.396-0.296,1.229-0.662,1.395-1.958c0.17-1.294-1.363-2.157-1.363-2.157s-1.218-0.643-1.476-0.929c-0.256-0.288-0.019-0.562-0.019-0.562s0.689-1.485,2.896-2.355c2.207-0.872,3.69-1.106,4.619-1.207c0.931-0.099,1.247,0.237,1.375,0.395c0.128,0.158,0.128,0.485,0.021,0.821c-0.101,0.308-0.443,1.039-0.644,1.396c-0.199,0.356-0.522,1.216-0.317,1.622c0.211,0.405,0.842,0.592,1.662,0.444c0.822-0.147,2.987-0.761,4.889-1.553c1.897-0.793,5.074-2.344,5.074-2.344s0.01-0.005,0.021-0.013l0.086-0.729l0.729,0.296c1.021-0.562,2.764-1.582,4.01-2.63c1.871-1.574,3.699-3.225,4.166-3.641c0.465-0.415,0.89-0.751,1.305-0.732c0.416,0.021,0.734,0.318,0.99,1.434c0.258,1.119,0.306,2.038,0.426,2.583c0.117,0.542,0.285,1.176,0.929,1.305c0.644,0.128,1.513-0.436,1.841-0.713c0.326-0.277,0.918-1.176,0.879-2.383c0,0,0.068-1.605-0.762-3.127c0,0-0.348-0.614-0.477-0.782c-0.088-0.119-0.155-0.238-0.008-0.523c0.146-0.288,0.465-0.821,1.059-1.157c0.449-0.256,0.881-0.316,1.128-0.396c0,0,0.28-0.069,0.636-0.266L99.696,28.566L99.696,28.566z"/><path style="fill:#FFF;" d="M1.547,32.696l-0.05,0.239c0.053-0.041,0.111-0.068,0.17-0.072c0.281-0.018,0.629,0.158,0.629,0.158s1.135,0.61,1.642,0.716c0.507,0.105,0.875-0.065,1.205-0.292c0.25-0.174,0.521-0.434,0.763-0.737c-0.29,0.29-0.725,0.548-1.365,0.595c0,0-0.571-0.049-1.419-0.587c-0.846-0.537-1.327-0.231-1.729,0.105l0,0l-0.249,0.564c-0.001,0.013-0.003,0.023-0.006,0.036l0.009,0.001c0,0,0.087-0.192,0.217-0.352L1.547,32.696L1.547,32.696z"/><path style="opacity:.73;fill:#FFF;" d="M6.387,31.961c0.059-0.12,0.112-0.238,0.155-0.354c0.05-0.14,0.09-0.334,0.125-0.55c-0.096,0.44-0.223,0.73-0.223,0.73S6.428,31.853,6.387,31.961L6.387,31.961z"/><path style="opacity:.73;fill:#FFF;" d="M6.807,28.654c-0.038,0.439-0.038,0.987-0.038,1.493l0,0c0.04-0.509,0.052-0.935,0.052-0.935l0.004,0.014c0,0,0-0.421-0.011-0.518C6.811,28.695,6.809,28.677,6.807,28.654z"/><linearGradient id="SVGID_30_" gradientUnits="userSpaceOnUse" x1="413.5137" y1="516.4121" x2="417.999" y2="516.4121" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#E2E3E4"/><stop offset=".5055" stop-color="#FFF"/></linearGradient><path style="fill:url(#SVGID_30_);" d="M8.12,16.324l-0.291,0.435c0.087-0.014,0.089-0.007,0.244-0.056c0,0,0.404-0.066,1.112,0.12c0.917,0.244,2.067-0.496,2.067-0.496s0.272-0.164,0.583-0.458c-0.4,0.24-1.385,0.762-2.132,0.585c-0.961-0.229-0.994-0.017-1.336-0.049c-0.292-0.028-0.292-0.11-0.275-0.314c0.002-0.032,0.023-0.054,0.03-0.092c0.05-0.261,0.339-0.689,0.339-0.689l-0.684,0.383c-0.115,0.189-0.227,0.378-0.34,0.569c-0.063,0.146-0.179,0.475,0.044,0.509c0.055,0.009,0.11,0.011,0.163,0.009L8.12,16.324L8.12,16.324z"/><path style="fill:#FFF;" d="M17.019,15.036c-1.027,0.278-1.972,0.734-2.494,0.604c-0.438-0.109-0.084-0.76,0.042-0.965c0.069-0.146,0.167-0.292,0.249-0.406c0.31-0.506,0.833-1.351,0.833-1.351s0,0,0-0.002c0.017-0.032,0.033-0.067,0.049-0.102c0.067-0.18,0.12-0.537-0.472-0.597c-0.799-0.082-1.613,0.619-1.613,0.619s-0.547,0.301-0.838,1.417l0.112-0.313c0,0,0.291-0.973,1.105-1.281c0,0,0.317-0.171,0.831-0.177c0.513-0.005,0.392,0.354,0.392,0.354s-0.056,0.233-0.586,0.912c-0.529,0.677-0.671,1.195-0.671,1.195s-0.319,0.723,0.193,0.957c0,0,0.238,0.141,0.939-0.091c0.7-0.233,3.02-0.843,4.438-1.06l0.993-0.506C19.849,14.299,18.012,14.769,17.019,15.036L17.019,15.036z"/><path style="fill:#FFF;" d="M-16.122-14.641"/><path style="fill:#FFF;" d="M-16.122-14.641"/><path style="opacity:.1;fill:#231F20;" d="M90.578,74.217c0.006-0.004,0.009-0.008,0.014-0.013C90.587,74.21,90.582,74.213,90.578,74.217z"/><path style="opacity:.1;fill:#231F20;" d="M90.821,73.951c0.001-0.002,0.002-0.004,0.003-0.004C90.823,73.947,90.822,73.949,90.821,73.951z"/><path style="opacity:.1;fill:#231F20;" d="M90.738,74.042c0.003-0.004,0.008-0.009,0.011-0.013C90.746,74.033,90.741,74.038,90.738,74.042z"/><path style="opacity:.25;fill:#231F20;" d="M87.9,76.68l-0.164,0.174c-0.646,0.716-0.969,1.007-0.969,1.007l-0.242,0.269l0,0c-0.002,0.006-0.006,0.012-0.012,0.014c0.008,0.002,0.018,0.004,0.041,0.004c0,0,0.229-0.002,0.588-0.219c-0.072,0.041-0.139,0.068-0.181,0.07c-0.177,0.012,0.431-0.538,0.431-0.538s0.588-0.626,0.967-1.125c0.382-0.497,0.138-0.468,0.138-0.468s-0.087-0.021-0.397,0.125C88.125,76.018,88.268,76.223,87.9,76.68L87.9,76.68z"/><path style="opacity:.1;fill:#231F20;" d="M90.657,74.133c0.003-0.006,0.007-0.013,0.013-0.017C90.664,74.121,90.662,74.128,90.657,74.133z"/><path style="opacity:.22;fill:#231F20;" d="M72.945,81.21c0,0,2.215-0.931,3.402-0.79c0,0,0.611,0.059-0.062,0.711c-0.672,0.652-0.892,1.168,0.396,0.752c0,0,0.094-0.033,0.244-0.086c-0.504,0.143-0.734,0.143-0.658,0.033c0.127-0.188,0.461-0.461,0.461-0.461s0.399-0.4,0.399-0.801c0,0,0.128-0.588-1.604-0.225c-1.01,0.209-1.969,0.59-2.588,0.867C72.941,81.211,72.943,81.211,72.945,81.21L72.945,81.21z"/><path style="opacity:.1;fill:#231F20;" d="M72.234,81.555l-0.004,0.002C72.232,81.557,72.234,81.555,72.234,81.555z"/><path style="opacity:.1;fill:#231F20;" d="M88.057,76.014c-0.014,0.008-0.026,0.015-0.043,0.021C88.028,76.027,88.043,76.021,88.057,76.014z"/><path style="opacity:.28;fill:#231F20;" d="M78.305,81.299c1.448-0.521,3.93-1.854,5.023-2.492C82.232,79.442,79.73,80.717,78.305,81.299z"/><path style="opacity:.1;fill:#231F20;" d="M87.512,76.325c0.026-0.017,0.055-0.032,0.08-0.049C87.566,76.293,87.538,76.309,87.512,76.325z"/><path style="opacity:.1;fill:#231F20;" d="M91.618,73.084c0.008-0.011,0.019-0.023,0.026-0.029C91.637,73.061,91.626,73.073,91.618,73.084z"/><path style="opacity:.1;fill:#231F20;" d="M91.434,73.281c0.01-0.012,0.019-0.02,0.023-0.027C91.451,73.264,91.441,73.27,91.434,73.281z"/><path style="opacity:.1;fill:#231F20;" d="M91.521,73.188c0.01-0.012,0.02-0.022,0.029-0.032C91.539,73.165,91.53,73.178,91.521,73.188z"/><path style="opacity:.1;fill:#231F20;" d="M90.9,73.863c0.003-0.006,0.007-0.01,0.012-0.016C90.907,73.854,90.903,73.857,90.9,73.863z"/><path style="opacity:.1;fill:#231F20;" d="M71.246,82.088c-0.014,0.008-0.023,0.018-0.036,0.022C71.221,82.105,71.232,82.096,71.246,82.088z"/><path style="opacity:.1;fill:#231F20;" d="M91.346,73.375c0.008-0.008,0.014-0.015,0.021-0.021C91.359,73.36,91.354,73.367,91.346,73.375z"/><path style="opacity:.1;fill:#231F20;" d="M91.077,73.669c0.006-0.006,0.01-0.011,0.013-0.015C91.087,73.659,91.083,73.663,91.077,73.669z"/><path style="opacity:.1;fill:#231F20;" d="M91.251,73.479c0.007-0.006,0.015-0.012,0.021-0.021C91.266,73.463,91.255,73.473,91.251,73.479z"/><path style="opacity:.1;fill:#231F20;" d="M90.987,73.768c0.004-0.006,0.01-0.012,0.016-0.021C90.997,73.756,90.991,73.762,90.987,73.768z"/><path style="opacity:.1;fill:#231F20;" d="M91.161,73.578c0.006-0.006,0.011-0.014,0.017-0.02C91.172,73.564,91.165,73.572,91.161,73.578z"/><path style="opacity:.1;fill:#231F20;" d="M71.816,81.764c-0.008,0.006-0.02,0.012-0.026,0.017C71.799,81.774,71.809,81.77,71.816,81.764z"/><path style="opacity:.1;fill:#231F20;" d="M72.044,81.646c-0.006,0.004-0.012,0.006-0.019,0.009C72.032,81.652,72.038,81.649,72.044,81.646z"/><path style="opacity:.1;fill:#231F20;" d="M71.305,82.055c-0.011,0.008-0.021,0.014-0.031,0.021C71.283,82.067,71.294,82.063,71.305,82.055z"/><path style="opacity:.1;fill:#231F20;" d="M71.969,81.684c-0.008,0.004-0.015,0.009-0.021,0.014C71.953,81.692,71.961,81.688,71.969,81.684z"/><path style="opacity:.1;fill:#231F20;" d="M72.109,81.613c-0.004,0.005-0.01,0.006-0.016,0.01C72.102,81.619,72.105,81.617,72.109,81.613z"/><path style="opacity:.1;fill:#231F20;" d="M72.008,81.665c-0.007,0.004-0.013,0.007-0.021,0.011C71.994,81.672,72.001,81.669,72.008,81.665z"/><path style="opacity:.1;fill:#231F20;" d="M72.206,81.566c-0.003,0.002-0.005,0.003-0.007,0.004C72.201,81.569,72.203,81.568,72.206,81.566z"/><path style="opacity:.1;fill:#231F20;" d="M72.148,81.594c-0.008,0.004-0.016,0.01-0.024,0.015C72.135,81.604,72.141,81.598,72.148,81.594z"/><path style="opacity:.1;fill:#231F20;" d="M71.928,81.707c-0.01,0.003-0.02,0.01-0.027,0.016C71.908,81.715,71.918,81.711,71.928,81.707z"/><path style="opacity:.1;fill:#231F20;" d="M72.193,81.575c-0.006,0.001-0.01,0.003-0.014,0.004C72.184,81.578,72.189,81.575,72.193,81.575z"/><path style="opacity:.1;fill:#231F20;" d="M72.172,81.585c-0.004,0.003-0.008,0.005-0.015,0.007C72.164,81.59,72.168,81.585,72.172,81.585z"/><path style="opacity:.1;fill:#231F20;" d="M72.079,81.631c-0.008,0.002-0.013,0.004-0.019,0.006C72.066,81.635,72.071,81.633,72.079,81.631z"/><path style="opacity:.1;fill:#231F20;" d="M71.866,81.739c-0.011,0.002-0.021,0.008-0.027,0.013C71.848,81.747,71.857,81.741,71.866,81.739z"/><path style="opacity:.1;fill:#231F20;" d="M71.555,81.906c-0.018,0.012-0.033,0.02-0.052,0.029C71.521,81.924,71.539,81.918,71.555,81.906z"/><path style="opacity:.1;fill:#231F20;" d="M72.219,81.561c0,0.002-0.002,0.002-0.002,0.004C72.217,81.563,72.219,81.563,72.219,81.561z"/><path style="opacity:.1;fill:#231F20;" d="M71.421,81.986c-0.011,0.006-0.022,0.01-0.03,0.02C71.398,81.996,71.41,81.992,71.421,81.986z"/><path style="opacity:.1;fill:#231F20;" d="M71.363,82.02c-0.012,0.005-0.021,0.013-0.032,0.021C71.342,82.032,71.354,82.024,71.363,82.02z"/><path style="opacity:.1;fill:#231F20;" d="M71.482,81.948c-0.014,0.006-0.023,0.015-0.036,0.021C71.458,81.963,71.471,81.956,71.482,81.948z"/><path style="opacity:.1;fill:#231F20;" d="M71.768,81.79c-0.01,0.004-0.018,0.009-0.024,0.017C71.751,81.799,71.758,81.794,71.768,81.79z"/><path style="opacity:.1;fill:#231F20;" d="M91.708,72.984c0.013-0.014,0.024-0.028,0.04-0.042C91.734,72.956,91.723,72.971,91.708,72.984z"/><path style="opacity:.1;fill:#231F20;" d="M71.717,81.818c-0.01,0.004-0.019,0.009-0.027,0.015C71.698,81.827,71.707,81.822,71.717,81.818z"/><path style="opacity:.1;fill:#231F20;" d="M71.665,81.846c-0.011,0.006-0.021,0.014-0.028,0.018C71.645,81.858,71.654,81.852,71.665,81.846z"/><path style="opacity:.1;fill:#231F20;" d="M71.609,81.875c-0.01,0.008-0.021,0.014-0.03,0.02C71.589,81.889,71.602,81.881,71.609,81.875z"/><path style="opacity:.1;fill:#231F20;" d="M92.443,72.197c-0.021,0.021-0.037,0.039-0.055,0.061C92.406,72.238,92.423,72.217,92.443,72.197z"/><path style="opacity:.1;fill:#231F20;" d="M92.359,72.287c-0.021,0.021-0.041,0.044-0.061,0.066C92.318,72.331,92.339,72.309,92.359,72.287z"/><path style="opacity:.1;fill:#231F20;" d="M92.501,72.135c-0.011,0.015-0.021,0.023-0.028,0.033C92.48,72.157,92.49,72.148,92.501,72.135z"/><path style="opacity:.1;fill:#231F20;" d="M91.786,72.899c0.022-0.021,0.042-0.042,0.062-0.063C91.828,72.857,91.807,72.878,91.786,72.899z"/><path style="opacity:.1;fill:#231F20;" d="M92.273,72.379c-0.014,0.016-0.025,0.029-0.041,0.045C92.245,72.409,92.26,72.395,92.273,72.379z"/><path style="opacity:.1;fill:#231F20;" d="M92.579,72.053c-0.013,0.012-0.021,0.021-0.03,0.032C92.559,72.074,92.569,72.063,92.579,72.053z"/><path style="opacity:.1;fill:#231F20;" d="M92.762,71.858c-0.002,0-0.002,0-0.002,0.001C92.76,71.858,92.76,71.858,92.762,71.858z"/><path style="opacity:.1;fill:#231F20;" d="M92.703,71.919c-0.004,0.005-0.01,0.013-0.014,0.017C92.693,71.928,92.699,71.924,92.703,71.919z"/><path style="opacity:.1;fill:#231F20;" d="M87.938,76.074c-0.017,0.008-0.027,0.016-0.043,0.023C87.907,76.09,87.922,76.082,87.938,76.074z"/><path style="opacity:.1;fill:#231F20;" d="M92.648,71.98c-0.012,0.011-0.021,0.021-0.029,0.029C92.629,72,92.637,71.991,92.648,71.98z"/><path style="opacity:.1;fill:#231F20;" d="M87.666,76.229c-0.018,0.013-0.031,0.021-0.051,0.031C87.633,76.25,87.648,76.241,87.666,76.229z"/><path style="opacity:.1;fill:#231F20;" d="M48.204,91.026c0,0-0.001,0-0.003,0.002C48.203,91.026,48.203,91.026,48.204,91.026z"/><path style="opacity:.1;fill:#231F20;" d="M48.073,91.03c-0.007,0-0.013,0-0.021,0C48.06,91.03,48.066,91.03,48.073,91.03z"/><path style="opacity:.1;fill:#231F20;" d="M48.136,91.028c-0.007,0.002-0.013,0.002-0.02,0.002C48.123,91.03,48.129,91.03,48.136,91.028z"/><path style="opacity:.1;fill:#231F20;" d="M48.005,91.032c-0.003,0-0.007,0-0.012,0C47.998,91.032,48.002,91.032,48.005,91.032z"/><path style="opacity:.1;fill:#231F20;" d="M47.94,91.035c-0.004,0-0.009,0-0.015,0C47.93,91.035,47.935,91.035,47.94,91.035z"/><path style="opacity:.1;fill:#231F20;" d="M87.869,76.111c-0.014,0.006-0.021,0.015-0.039,0.021C87.848,76.126,87.857,76.117,87.869,76.111z"/><path style="opacity:.1;fill:#231F20;" d="M87.807,76.146c-0.014,0.009-0.025,0.018-0.041,0.021C87.779,76.164,87.793,76.155,87.807,76.146z"/><path style="opacity:.1;fill:#231F20;" d="M87.738,76.186c-0.016,0.011-0.028,0.018-0.044,0.024C87.71,76.203,87.723,76.196,87.738,76.186z"/><path style="opacity:.1;fill:#231F20;" d="M87.951,76.067c0.02-0.011,0.035-0.021,0.054-0.027C87.986,76.047,87.971,76.057,87.951,76.067z"/><path style="opacity:.1;fill:#231F20;" d="M87.719,77.52c0,0-0.082,0.064-0.193,0.147C87.592,77.621,87.664,77.566,87.719,77.52z"/><path style="opacity:.1;fill:#231F20;" d="M92.205,72.452c-0.021,0.022-0.042,0.046-0.064,0.067C92.163,72.498,92.186,72.475,92.205,72.452z"/><path style="opacity:.1;fill:#231F20;" d="M28.05,87.006c-0.019-0.007-0.037-0.016-0.056-0.021C28.013,86.991,28.031,86.999,28.05,87.006z"/><path style="opacity:.1;fill:#231F20;" d="M71.051,82.217c-0.013,0.008-0.021,0.017-0.037,0.021C71.027,82.23,71.038,82.223,71.051,82.217z"/><path style="opacity:.1;fill:#231F20;" d="M45.854,89.871c-0.024,0-0.049-0.004-0.074-0.004C45.806,89.867,45.831,89.871,45.854,89.871z"/><path style="opacity:.1;fill:#231F20;" d="M27.678,86.883c0.02,0.004,0.039,0.01,0.058,0.019C27.717,86.893,27.696,86.887,27.678,86.883z"/><path style="opacity:.1;fill:#231F20;" d="M27.555,86.844c0.038,0.012,0.078,0.022,0.119,0.037C27.633,86.869,27.593,86.854,27.555,86.844z"/><path style="opacity:.1;fill:#231F20;" d="M27.862,86.941c-0.041-0.014-0.082-0.026-0.123-0.04C27.78,86.913,27.82,86.928,27.862,86.941z"/><path style="opacity:.1;fill:#231F20;" d="M91.88,72.799c0.015-0.016,0.026-0.027,0.04-0.043C91.907,72.771,91.895,72.784,91.88,72.799z"/><path style="opacity:.1;fill:#231F20;" d="M28.058,87.006c0.04,0.016,0.079,0.026,0.116,0.041C28.137,87.033,28.098,87.021,28.058,87.006z"/><path style="opacity:.1;fill:#231F20;" d="M91.977,72.695c0.014-0.016,0.026-0.027,0.041-0.044C92.002,72.668,91.989,72.68,91.977,72.695z"/><path style="opacity:.1;fill:#231F20;" d="M92.057,72.612c0.021-0.022,0.039-0.041,0.061-0.062C92.096,72.571,92.076,72.59,92.057,72.612z"/><path style="opacity:.1;fill:#231F20;" d="M27.991,86.985c-0.021-0.009-0.041-0.017-0.062-0.022C27.95,86.969,27.97,86.977,27.991,86.985z"/><path style="opacity:.1;fill:#231F20;" d="M71.133,82.162c0.021-0.013,0.037-0.021,0.055-0.036C71.17,82.139,71.152,82.149,71.133,82.162z"/><path style="opacity:.1;fill:#231F20;" d="M46.361,89.926c-0.016-0.002-0.035-0.004-0.053-0.008C46.325,89.922,46.345,89.924,46.361,89.926z"/><path style="opacity:.1;fill:#231F20;" d="M71.122,82.17c-0.019,0.012-0.034,0.021-0.049,0.032C71.088,82.191,71.105,82.18,71.122,82.17z"/><path style="opacity:.1;fill:#231F20;" d="M46.439,89.939c-0.017-0.002-0.032-0.006-0.049-0.008C46.407,89.934,46.422,89.938,46.439,89.939z"/><path style="opacity:.1;fill:#231F20;" d="M46.513,89.953c-0.016-0.005-0.031-0.007-0.047-0.011C46.481,89.946,46.497,89.948,46.513,89.953z"/><path style="opacity:.1;fill:#231F20;" d="M46.096,89.891c-0.031-0.002-0.065-0.006-0.1-0.01C46.031,89.885,46.065,89.889,46.096,89.891z"/><path style="opacity:.1;fill:#231F20;" d="M46.278,89.913c-0.02-0.002-0.041-0.004-0.061-0.006C46.237,89.909,46.259,89.911,46.278,89.913z"/><path style="opacity:.1;fill:#231F20;" d="M46.19,89.904c-0.028-0.005-0.054-0.008-0.084-0.012C46.136,89.896,46.163,89.899,46.19,89.904z"/><path style="opacity:.1;fill:#231F20;" d="M45.971,89.881c-0.025-0.005-0.051-0.006-0.079-0.009C45.92,89.875,45.945,89.877,45.971,89.881z"/><path style="opacity:.1;fill:#231F20;" d="M27.926,86.961c-0.02-0.004-0.039-0.011-0.058-0.019C27.888,86.953,27.908,86.957,27.926,86.961z"/><path style="opacity:.1;fill:#231F20;" d="M47.395,90.975c0.001,0.004,0.003,0.004,0.004,0.004C47.398,90.979,47.396,90.979,47.395,90.975z"/><path style="opacity:.1;fill:#231F20;" d="M47.375,90.969c0.001,0,0.002,0,0.003,0C47.378,90.969,47.376,90.969,47.375,90.969z"/><path style="opacity:.1;fill:#231F20;" d="M47.418,90.982L47.418,90.982L47.418,90.982z"/><path style="opacity:.1;fill:#231F20;" d="M47.465,90.996c0.003,0,0.004,0.001,0.006,0.001C47.47,90.997,47.468,90.996,47.465,90.996z"/><path style="opacity:.1;fill:#231F20;" d="M47.442,90.988c0.001,0,0.002,0.002,0.002,0.002L47.442,90.988z"/><path style="opacity:.1;fill:#231F20;" d="M47.342,90.955L47.342,90.955L47.342,90.955z"/><path style="opacity:.1;fill:#231F20;" d="M46.589,89.967c-0.02-0.002-0.036-0.009-0.054-0.013C46.553,89.959,46.57,89.965,46.589,89.967z"/><path style="opacity:.1;fill:#231F20;" d="M46.764,90.012c-0.011-0.004-0.021-0.008-0.033-0.012C46.742,90.006,46.753,90.008,46.764,90.012z"/><path style="opacity:.1;fill:#231F20;" d="M49.049,90.953c-0.01,0.001-0.021,0.002-0.032,0.004C49.028,90.955,49.038,90.954,49.049,90.953z"/><path style="opacity:.1;fill:#231F20;" d="M46.659,89.984c-0.021-0.006-0.039-0.01-0.061-0.014C46.619,89.975,46.639,89.979,46.659,89.984z"/><path style="opacity:.1;fill:#231F20;" d="M47.767,91.028c0.003,0,0.003,0,0.006,0C47.773,91.028,47.77,91.028,47.767,91.028z"/><path style="opacity:.1;fill:#231F20;" d="M47.821,91.03c0.003,0,0.007,0,0.013,0C47.828,91.03,47.824,91.03,47.821,91.03z"/><path style="opacity:.1;fill:#231F20;" d="M45.214,89.855c0.047,0,0.092,0,0.139,0C45.308,89.855,45.261,89.855,45.214,89.855z"/><path style="opacity:.1;fill:#231F20;" d="M47.716,91.026c0.005,0,0.009,0,0.013,0.002C47.727,91.026,47.722,91.026,47.716,91.026z"/><path style="opacity:.36;fill:#231F20;" d="M46.772,90.014c0,0,0.158,0.021,0.059,0.338c-0.1,0.313,0.06,0.451,0.475,0.594l0.023,0.006c0,0,0.001,0,0.002,0c-0.079-0.04-0.074-0.08-0.074-0.08s-0.01-0.078,0.078-0.216c0.087-0.136,0.009-0.369-0.293-0.536C47.044,90.118,46.967,90.07,46.772,90.014L46.772,90.014L46.772,90.014z"/><path style="opacity:.1;fill:#231F20;" d="M47.869,91.032c0.006,0,0.012,0,0.018,0C47.881,91.032,47.875,91.032,47.869,91.032z"/><path style="opacity:.1;fill:#231F20;" d="M47.495,91.002c0.001,0,0.004,0,0.004,0C47.497,91.002,47.496,91.002,47.495,91.002z"/><path style="opacity:.1;fill:#231F20;" d="M47.677,91.024c0.004,0,0.007,0,0.01,0C47.684,91.024,47.681,91.024,47.677,91.024z"/><path style="opacity:.1;fill:#231F20;" d="M47.529,91.006c0.001,0,0.002,0,0.002,0S47.53,91.006,47.529,91.006z"/><path style="opacity:.1;fill:#231F20;" d="M47.559,91.01c0.002,0.002,0.005,0.002,0.008,0.002C47.566,91.012,47.561,91.01,47.559,91.01z"/><path style="opacity:.1;fill:#231F20;" d="M47.594,91.016c0.002,0,0.004,0,0.008,0C47.599,91.016,47.596,91.016,47.594,91.016z"/><path style="opacity:.1;fill:#231F20;" d="M46.711,89.997c-0.011-0.002-0.026-0.007-0.043-0.011C46.685,89.99,46.701,89.995,46.711,89.997z"/><path style="opacity:.1;fill:#231F20;" d="M28.748,87.256c-0.008-0.003-0.018-0.007-0.025-0.01C28.731,87.25,28.739,87.254,28.748,87.256z"/><path style="opacity:.1;fill:#231F20;" d="M28.776,87.27c-0.007-0.002-0.016-0.008-0.024-0.012C28.761,87.262,28.769,87.268,28.776,87.27z"/><path style="opacity:.1;fill:#231F20;" d="M28.681,87.23c-0.008-0.004-0.021-0.006-0.03-0.01C28.66,87.225,28.672,87.227,28.681,87.23z"/><path style="opacity:.1;fill:#231F20;" d="M45.66,89.862c0.026,0,0.052,0.005,0.074,0.005C45.711,89.865,45.686,89.865,45.66,89.862z"/><path style="opacity:.1;fill:#231F20;" d="M28.797,87.275c-0.005-0.002-0.013-0.006-0.021-0.008C28.784,87.271,28.792,87.273,28.797,87.275z"/><path style="opacity:.1;fill:#231F20;" d="M27.38,86.794c0.038,0.011,0.074,0.022,0.112,0.031C27.453,86.816,27.417,86.803,27.38,86.794z"/><path style="opacity:.1;fill:#231F20;" d="M27.492,86.825c0.021,0.004,0.039,0.011,0.058,0.019C27.53,86.836,27.512,86.829,27.492,86.825z"/><path style="opacity:.1;fill:#231F20;" d="M28.814,87.284c-0.003-0.002-0.006-0.005-0.012-0.007C28.808,87.279,28.811,87.282,28.814,87.284z"/><path style="opacity:.1;fill:#231F20;" d="M28.64,87.219c-0.011-0.006-0.021-0.01-0.03-0.014C28.621,87.21,28.629,87.213,28.64,87.219z"/><path style="opacity:.38;fill:#231F20;" d="M27.687,87.239c-0.014-0.013-0.023-0.022-0.03-0.032c-0.263-0.197-0.343-0.418-0.343-0.418l0.009-0.011c0.017,0.007,0.034,0.011,0.052,0.014c-0.291-0.075-0.5-0.104-0.479-0.018c0.015,0.061,0.131,0.153,0.269,0.245c0.174,0.094,0.346,0.187,0.522,0.279V87.239L27.687,87.239z"/><path style="opacity:.1;fill:#231F20;" d="M28.716,87.245c-0.009-0.003-0.018-0.006-0.027-0.01C28.699,87.239,28.708,87.242,28.716,87.245z"/><path style="opacity:.1;fill:#231F20;" d="M28.602,87.202c-0.013-0.004-0.027-0.01-0.042-0.015C28.574,87.192,28.59,87.198,28.602,87.202z"/><path style="opacity:.1;fill:#231F20;" d="M28.841,87.293c0,0-0.006-0.004-0.022-0.009C28.835,87.29,28.841,87.293,28.841,87.293z"/><path style="opacity:.1;fill:#231F20;" d="M28.232,87.068c-0.018-0.006-0.031-0.014-0.047-0.018C28.201,87.055,28.215,87.063,28.232,87.068z"/><path style="opacity:.1;fill:#231F20;" d="M45.534,89.858c0.028,0,0.054,0.002,0.081,0.002C45.587,89.858,45.562,89.858,45.534,89.858z"/><path style="opacity:.1;fill:#231F20;" d="M45.397,89.855c0.029,0,0.06,0,0.089,0C45.457,89.855,45.427,89.855,45.397,89.855z"/><path style="opacity:.1;fill:#231F20;" d="M28.348,87.11c-0.034-0.013-0.07-0.025-0.106-0.039C28.278,87.085,28.314,87.098,28.348,87.11z"/><path style="opacity:.1;fill:#231F20;" d="M28.506,87.168c-0.013-0.005-0.025-0.01-0.037-0.015C28.481,87.158,28.494,87.162,28.506,87.168z"/><path style="opacity:.1;fill:#231F20;" d="M28.401,87.129c-0.013-0.006-0.028-0.011-0.043-0.015C28.373,87.118,28.388,87.123,28.401,87.129z"/><path style="opacity:.1;fill:#231F20;" d="M28.557,87.186c-0.013-0.004-0.025-0.012-0.04-0.017C28.531,87.176,28.544,87.182,28.557,87.186z"/><path style="opacity:.1;fill:#231F20;" d="M28.458,87.15c-0.016-0.008-0.031-0.014-0.047-0.018C28.427,87.137,28.442,87.143,28.458,87.15z"/><path style="opacity:.1;fill:#231F20;" d="M70.02,84.389c0.004,0,0.006,0,0.006,0C70.023,84.389,70.023,84.389,70.02,84.389z"/><path style="opacity:.1;fill:#231F20;" d="M70.789,84.087c-0.001,0.003-0.003,0.005-0.004,0.005C70.786,84.09,70.788,84.088,70.789,84.087z"/><path style="opacity:.1;fill:#231F20;" d="M70.762,84.102c-0.002,0.002-0.004,0.002-0.006,0.004C70.758,84.104,70.76,84.104,70.762,84.102z"/><path style="opacity:.1;fill:#231F20;" d="M70.732,84.116c-0.002,0.002-0.004,0.003-0.006,0.004C70.729,84.119,70.73,84.118,70.732,84.116z"/><path style="opacity:.1;fill:#231F20;" d="M70.697,84.133c-0.001,0-0.002,0-0.002,0.002C70.695,84.133,70.696,84.133,70.697,84.133z"/><path style="opacity:.1;fill:#231F20;" d="M70.417,84.249c0.006-0.001,0.009-0.002,0.011-0.002C70.426,84.247,70.423,84.248,70.417,84.249z"/><path style="opacity:.1;fill:#231F20;" d="M70.389,84.262h0.002H70.389z"/><path style="opacity:.1;fill:#231F20;" d="M70.662,84.146L70.662,84.146L70.662,84.146z"/><path style="opacity:.1;fill:#231F20;" d="M70.316,84.289c0.002-0.002,0.007-0.003,0.009-0.003C70.321,84.286,70.318,84.287,70.316,84.289z"/><path style="opacity:.1;fill:#231F20;" d="M70.285,84.299c0.003,0,0.005-0.002,0.009-0.004C70.29,84.297,70.288,84.299,70.285,84.299z"/><path style="opacity:.1;fill:#231F20;" d="M70.354,84.275c0.002-0.002,0.002-0.002,0.002-0.002S70.354,84.273,70.354,84.275z"/><path style="opacity:.1;fill:#231F20;" d="M48.946,90.965c-0.011,0-0.022,0.004-0.033,0.004C48.924,90.969,48.935,90.965,48.946,90.965z"/><path style="opacity:.1;fill:#231F20;" d="M70.256,84.311c0.002,0,0.004,0,0.006-0.002C70.26,84.311,70.258,84.311,70.256,84.311z"/><path style="opacity:.1;fill:#231F20;" d="M70.78,82.41c0.013-0.009,0.026-0.021,0.042-0.032C70.809,82.389,70.793,82.401,70.78,82.41z"/><path style="opacity:.1;fill:#231F20;" d="M70.956,82.279c0.013-0.008,0.022-0.016,0.033-0.023C70.98,82.264,70.969,82.271,70.956,82.279z"/><path style="opacity:.1;fill:#231F20;" d="M70.898,82.321c0.012-0.009,0.022-0.017,0.033-0.022C70.923,82.305,70.91,82.313,70.898,82.321z"/><path style="opacity:.19;fill:#231F20;" d="M70.903,83.794c0.2,0.064,0.106,0.171-0.087,0.278l0.089-0.033c0,0,0.793-0.436,0.458-0.633c-0.338-0.198-1.129-0.275-0.613-0.969l0.02-0.02c-0.442,0.344-0.756,0.727-0.498,1.021C70.27,83.443,70.387,83.629,70.903,83.794z"/><path style="opacity:.1;fill:#231F20;" d="M70.566,84.191c-0.002,0-0.006,0.002-0.008,0.003C70.561,84.193,70.564,84.191,70.566,84.191z"/><path style="opacity:.1;fill:#231F20;" d="M70.631,84.163c-0.002,0.001-0.004,0.002-0.006,0.003C70.627,84.165,70.629,84.164,70.631,84.163z"/><path style="opacity:.1;fill:#231F20;" d="M70.598,84.176c0,0.002-0.004,0.004-0.006,0.004C70.594,84.18,70.598,84.178,70.598,84.176z"/><path style="opacity:.1;fill:#231F20;" d="M70.493,84.223c-0.003,0-0.003,0-0.007,0.002C70.49,84.223,70.49,84.223,70.493,84.223z"/><path style="opacity:.1;fill:#231F20;" d="M70.459,84.233c-0.002,0-0.004,0.002-0.008,0.004C70.455,84.235,70.457,84.233,70.459,84.233z"/><path style="opacity:.1;fill:#231F20;" d="M70.842,82.363c0.012-0.01,0.024-0.018,0.034-0.025C70.866,82.346,70.854,82.354,70.842,82.363z"/><path style="opacity:.1;fill:#231F20;" d="M48.293,91.024c-0.007,0-0.016,0-0.023,0C48.277,91.024,48.286,91.024,48.293,91.024z"/><path style="opacity:.1;fill:#231F20;" d="M48.444,91.014c-0.004,0-0.011,0-0.017,0C48.434,91.014,48.44,91.014,48.444,91.014z"/><path style="opacity:.1;fill:#231F20;" d="M48.369,91.02c-0.009,0-0.017,0-0.027,0C48.352,91.02,48.359,91.02,48.369,91.02z"/><path style="opacity:.25;fill:#231F20;" d="M50.023,89.904c0,0,0.362,0.225,1.673,0.285c0,0,0.45,0,0.468,0.035c0.016,0.028,0.036,0.056-0.068,0.102l0,0c0.06-0.021,0.793-0.254,0.476-0.391c-0.04-0.019-0.063-0.024-0.074-0.028c-0.006,0-0.013,0-0.019-0.003l0,0c-0.008-0.002-0.016-0.002-0.021-0.004c-0.007,0-0.009-0.001-0.013-0.001c-0.006-0.003-0.014-0.003-0.021-0.005c-0.004,0-0.009,0-0.015-0.002c-0.005,0-0.011-0.002-0.017-0.002c-0.004,0-0.011-0.002-0.017-0.004c-0.005,0-0.012,0-0.015,0c-0.008-0.002-0.014-0.002-0.018-0.004c-0.004,0-0.012,0-0.016-0.002c-0.005,0-0.012,0-0.018,0c-0.002-0.004-0.008-0.004-0.01-0.004c-0.011-0.002-0.015-0.003-0.021-0.003c-0.004,0-0.006-0.001-0.008-0.001c-0.01-0.001-0.021-0.001-0.028-0.002c0,0-0.002,0-0.004-0.002c-0.007,0-0.015,0-0.021,0c-0.005-0.002-0.007-0.002-0.012-0.002s-0.011,0-0.02,0c-0.004,0-0.006,0-0.008,0c-0.008-0.002-0.013-0.002-0.019-0.002c-0.003,0-0.007,0-0.009,0c-0.008,0-0.014-0.002-0.018-0.002c-0.005,0-0.009-0.003-0.012-0.003c-0.006,0-0.014,0-0.021,0c-0.004,0-0.004,0-0.006,0c-0.039-0.004-0.08-0.004-0.128-0.009c-0.002,0-0.004,0-0.004,0c-0.009,0-0.015-0.002-0.022-0.002c-0.002,0-0.007,0-0.011,0c-0.007,0-0.013,0-0.021,0c-0.004-0.002-0.01-0.002-0.014-0.002c-0.006,0-0.013-0.002-0.02-0.002c-0.005,0-0.011,0-0.016-0.002c-0.005,0-0.011,0-0.019,0c-0.01,0-0.02-0.002-0.028-0.004c-0.006,0-0.012,0-0.019,0c-0.008,0-0.018-0.002-0.028-0.002c-0.005,0-0.011-0.002-0.016-0.002c-0.008,0-0.019,0-0.024-0.001c-0.006-0.001-0.013-0.001-0.021-0.001c-0.007-0.002-0.018-0.002-0.026-0.004c-0.005,0-0.013-0.001-0.02-0.001c-0.008-0.001-0.018-0.003-0.026-0.003c-0.007-0.001-0.016-0.001-0.023-0.003c-0.01,0-0.019-0.002-0.027-0.002c-0.007-0.002-0.014-0.002-0.021-0.002c-0.012,0-0.024-0.003-0.035-0.005c-0.007,0-0.014,0-0.02,0c-0.02-0.004-0.037-0.006-0.057-0.006c-0.142-0.019-0.271-0.033-0.378-0.055l-0.187-0.025c0,0-0.47-0.014-0.653-0.316c-0.118-0.197,0.457-0.318,0.457-0.318s0.956-0.193,1.917-0.321c0,0-2.542,0.294-2.777,0.626C49.613,89.737,50.023,89.904,50.023,89.904L50.023,89.904z"/><path style="opacity:.1;fill:#231F20;" d="M69.986,84.401L69.986,84.401L69.986,84.401z"/><path style="opacity:.1;fill:#231F20;" d="M69.989,84.399c0.001,0,0.001,0,0.004,0C69.991,84.399,69.99,84.399,69.989,84.399z"/><path style="opacity:.1;fill:#231F20;" d="M48.839,90.979c-0.007,0-0.015,0.002-0.021,0.002C48.824,90.98,48.831,90.979,48.839,90.979z"/><path style="opacity:.1;fill:#231F20;" d="M48.727,90.988c-0.009,0-0.017,0.002-0.026,0.002C48.71,90.99,48.718,90.988,48.727,90.988z"/><path style="opacity:.1;fill:#231F20;" d="M48.637,90.998c-0.009,0-0.019,0.001-0.029,0.003C48.619,90.999,48.628,90.998,48.637,90.998z"/><path style="opacity:.1;fill:#231F20;" d="M48.55,91.004c-0.009,0-0.018,0.002-0.025,0.004C48.532,91.006,48.54,91.004,48.55,91.004z"/><path style="opacity:.1;fill:#231F20;" d="M70.139,84.35c0.004,0,0.006-0.002,0.01-0.004C70.145,84.348,70.143,84.35,70.139,84.35z"/><path style="opacity:.1;fill:#231F20;" d="M70.116,84.359c0.002-0.002,0.004-0.002,0.007-0.002C70.12,84.357,70.118,84.357,70.116,84.359z"/><path style="opacity:.1;fill:#231F20;" d="M70.193,84.332c0.002,0,0.002-0.002,0.004-0.002C70.195,84.33,70.195,84.332,70.193,84.332z"/><path style="opacity:.1;fill:#231F20;" d="M70.068,84.374c0.003,0,0.004,0,0.007-0.002C70.072,84.374,70.07,84.374,70.068,84.374z"/><path style="opacity:.1;fill:#231F20;" d="M70.163,84.342c0.005,0,0.007-0.002,0.011-0.005C70.17,84.34,70.167,84.342,70.163,84.342z"/><path style="opacity:.1;fill:#231F20;" d="M69.996,84.395c0.002,0,0.002,0,0.004,0C69.998,84.395,69.998,84.395,69.996,84.395z"/><path style="opacity:.1;fill:#231F20;" d="M70.004,84.395c0.002,0,0.006-0.002,0.008-0.002C70.006,84.395,70.006,84.395,70.004,84.395z"/><path style="opacity:.1;fill:#231F20;" d="M72.23,81.559c-0.002,0-0.004,0-0.004,0S72.229,81.559,72.23,81.559z"/><path style="opacity:.1;fill:#231F20;" d="M70.053,84.379c0.002,0,0.002,0,0.004,0C70.053,84.379,70.053,84.379,70.053,84.379z"/><path style="opacity:.1;fill:#231F20;" d="M70.036,84.385c0.001,0,0.003,0,0.004-0.002C70.039,84.385,70.037,84.385,70.036,84.385z"/><linearGradient id="SVGID_31_" gradientUnits="userSpaceOnUse" x1="414.2451" y1="568.2656" x2="509.0055" y2="545.7273" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset=".9505" stop-color="#B2B4B6"/></linearGradient><path style="fill:url(#SVGID_31_);" d="M7.61,68.141c-0.065-0.062-0.112-0.105-0.139-0.131L7.45,68.021L7.61,68.141L7.61,68.141z"/><linearGradient id="SVGID_32_" gradientUnits="userSpaceOnUse" x1="416.6992" y1="578.5645" x2="511.8228" y2="555.9398" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset=".9505" stop-color="#B2B4B6"/></linearGradient><path style="opacity:.83;fill:url(#SVGID_32_);" d="M90.412,59.954l0.689,0.108c1.976-1.573,3.869-3.571,3.869-3.571s1.258-1.261,1.889-2.356c0.22-0.381,0.281-0.356,0.271-0.177c0.023-0.09,0.103-0.456-0.038-0.714c-0.094-0.176-0.381,0.288-0.83,0.861c0,0-2.013,2.926-5.798,5.816c-3.786,2.891-4.776,3.771-8.083,5.655c0,0-2.309,1.021-3.914,0.669c-1.246-0.271,0-1.547,0.271-2.699c0.271-1.146,0.063-1.58-0.225-1.807c-0.287-0.225-0.91-0.385-2.142-0.109c0,0-4.709,1.264-6.819,3.307c-1.918,1.854,0.478,2.619,1.021,2.875c0,0,0.78,0.338,0.719,0.672c-0.063,0.336-0.496,0.623-0.733,0.783c-0.239,0.16-3.338,1.977-8.324,2.764c-4.039,0.641-3.26,0.255-7.143,0.654c-3.881,0.399-4.952,0.72-8.068,1.453c-3.116,0.734-4.945,1.537-5.352,2.349c-0.336,0.671,0.479,1.103,0.991,1.407c0.511,0.304,1.423,0.781,1.119,1.293c-0.305,0.512-1.631,1.277-4.874,1.391c-3.243,0.114-4.569-0.336-5.16-1.04c-0.548-0.649-0.08-1.323,0.096-1.946c0,0,0.382-0.814,0.16-1.215c-0.224-0.398-0.737-0.494-1.278-0.559c-0.544-0.064-3.245-0.158-5.337-0.271c-2.372-0.127-5.208-0.211-8.611-0.928c0,0-2.237-0.441-3.69-1.262c-0.096-0.055-0.18-0.107-0.25-0.156c-0.11-0.059-0.194-0.122-0.25-0.209c-0.41-0.432-0.047-0.748-0.186-1.168c-0.121-0.359-0.352-0.878-0.896-1.501c-0.176-0.183-0.428-0.437-0.72-0.713c-0.08-0.069-0.165-0.144-0.254-0.214c-1.276-1.037-1.422-1.149-1.964-1.166c-0.542-0.019-0.235,0.895-0.129,1.246c0.041,0.136,0.139,0.328,0.242,0.508c-0.2-0.364-0.336-0.729-0.257-0.915c0.144-0.337,0.309-0.308,0.309-0.308s0.133-0.053,0.595,0.297c0.463,0.35,1.499,1.078,2.012,1.705c0.512,0.625,0.481,1.18,0.481,1.18s-0.103,0.563,0.451,1.17c0.555,0.604,1.733,1.714,5.859,2.349c0.021,0.005,0.041,0.005,0.06,0.009l0.193-0.549l0.568,0.663c0.006,0,0.01,0.001,0.016,0.002c3.592,0.519,5.544,0.563,5.544,0.563s4.709,0.164,5.982,0.164c1.271,0,1.035,0.664,1.035,0.664s-0.072,0.361-0.225,0.647c-0.153,0.288-0.524,1.365-0.144,1.94c0,0,0.585,1.426,4.382,1.527c0,0,3.324,0.267,5.643-0.688c2.317-0.954,0.224-2.277,0.224-2.277s-0.794-0.483-1.129-0.737c-0.308-0.233-0.184-0.48-0.122-0.646c0.061-0.163,0.297-0.355,0.564-0.492c0.265-0.134,1.241-0.652,5.365-1.722c4.124-1.067,6.587-1.183,6.587-1.183s0.021-0.004,0.062-0.006l0.334-0.656l0.845,0.559c0.732-0.061,1.686-0.129,2.537-0.17c1.691-0.083,4.341-0.475,5.879-0.811c1.539-0.342,3.869-1.059,5.591-1.951c1.724-0.891,1.808-1.519,1.808-1.519s0.328-0.472-0.391-0.995c-0.719-0.521-1.037-0.38-1.672-1.024c-0.638-0.646,0.553-1.619,0.553-1.619s0.615-0.865,4.021-2.177c3.408-1.313,3.98-0.873,4.156-0.728c0.175,0.142,0.195,0.613,0.123,0.933c-0.072,0.316-0.494,1.455-0.721,2.055c-0.227,0.592-0.316,1.402,0.604,1.6c0.924,0.193,2.215-0.009,3.427-0.443c2.893-1.033,3.757-2.295,8.535-5.764c0.011-0.01,0.021-0.016,0.029-0.023L90.412,59.954L90.412,59.954z"/><linearGradient id="SVGID_33_" gradientUnits="userSpaceOnUse" x1="415.4736" y1="573.4199" x2="510.5869" y2="550.7977" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset=".9505" stop-color="#B2B4B6"/></linearGradient><path style="fill:url(#SVGID_33_);" d="M100.895,47.596c-0.635,1.186-1.164,2.608-1.443,3.5c-0.045,0.213-0.061,0.33-0.061,0.33s-0.119,0.654-0.054,1.036c0.028,0.161,0.069,0.279,0.106,0.375c0.021,0.052,0.039,0.095,0.055,0.134c0.02,0.045,0.031,0.082,0.033,0.111c0.007,0.082-0.044,0.614-0.27,1.23l0,0c0,0,0,0,0,0.002c-0.063,0.176-0.143,0.359-0.24,0.539c-0.024,0.05-0.053,0.095-0.074,0.139c-0.458,0.814-1.098,1.457-1.604,1.532c-0.324,0.049-0.484-0.117-0.557-0.386c0.014,0.369,0.086,0.738,0.289,0.963c0.406,0.441,1.563-0.795,1.563-0.795s0.688-0.789,0.965-2.062c0.406-1.875,0.187-2.248,0.187-2.248s-0.247-0.389-0.093-0.853c0.152-0.461,1.156-3.047,1.979-4.01l0.502-0.562c0-0.009,0.002-0.02,0.002-0.029l-0.211-0.521c-0.129,0.13-0.259,0.284-0.385,0.454C101.405,46.763,101.178,47.129,100.895,47.596L100.895,47.596z"/><linearGradient id="SVGID_34_" gradientUnits="userSpaceOnUse" x1="414.7754" y1="570.4785" x2="509.8697" y2="547.861" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset=".9505" stop-color="#B2B4B6"/></linearGradient><path style="fill:url(#SVGID_34_);" d="M10.564,70.807L10.564,70.807c-0.146-0.092-0.315-0.229-0.469-0.356c-0.133-0.112-0.641-0.585-1.18-1.086c-0.212-0.194-0.411-0.382-0.589-0.55c-0.277-0.262-0.524-0.493-0.688-0.646l0.107,0.358c0.017,0.028,0.034,0.06,0.052,0.089c0.183,0.29,0.854,1.264,2.153,2.277c1.549,1.213,1.559,0.729,1.559,0.729s0.062-0.4-0.296-0.84c-0.063-0.076-0.131-0.167-0.202-0.27v0.002C11.011,70.516,12.023,71.998,10.564,70.807z"/><linearGradient id="SVGID_35_" gradientUnits="userSpaceOnUse" x1="414.915" y1="571.0664" x2="510.04" y2="548.4415" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset=".9505" stop-color="#B2B4B6"/></linearGradient><path style="fill:url(#SVGID_35_);" d="M10.678,69.98c0.103,0.186,0.219,0.371,0.333,0.533C11,70.501,10.833,70.253,10.678,69.98z"/><linearGradient id="SVGID_36_" gradientUnits="userSpaceOnUse" x1="416.1035" y1="576.0654" x2="511.2286" y2="553.4405" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#EDEDEE"/><stop offset=".4176" stop-color="#FFF"/><stop offset=".6264" stop-color="#F8F9F9"/><stop offset=".9505" stop-color="#B2B4B6"/></linearGradient><path style="fill:url(#SVGID_36_);" d="M96.887,55.023c0,0,0.227-0.76,0.243-1.066c-0.003,0.014-0.005,0.021-0.005,0.021s-0.513,1.443-0.333,2.16C96.771,55.579,96.887,55.023,96.887,55.023z"/><path style="opacity:.1;fill:#232323;" d="M63.301,4.417l0.728,0.072c1.426-0.402,2.643-0.772,2.643-0.772s1.265-0.41,1.901-0.637c0.635-0.226,1.09-0.313,1.654-0.409c0.565-0.096,1.311-0.14,1.709-0.131c0.4,0.007,0.531,0.122,0.531,0.122s0.166,0.131,0.244,0.27c0.077,0.138,0.74,1.891,2.973,2.005c2.233,0.112,2.263-1.096,2.065-1.464c-0.226-0.427-0.896-0.863-0.896-0.863s-0.899-0.575-1.092-0.847c-0.191-0.27,0.034-0.357,0.104-0.375c0.065-0.017,2.435-0.497,2.729-0.609l0.021-0.021l-0.562-0.171c0,0-0.119,0.134-0.789,0.313c-0.67,0.179-1.235,0.246-1.742,0.313c-0.506,0.066-0.506,0.239-0.506,0.239l-0.086,0.136c-0.025,0.075-0.067,0.321,0.375,0.642c0.528,0.387,1.172,0.75,1.438,1.04s0.586,0.783,0.012,1.137C76.48,4.576,76.27,4.64,75.977,4.671c0.002,0.008,0,0.012,0,0.012c-0.248,0.021-0.457,0.03-0.638,0.03c-0.049,0.002-0.102,0.006-0.155,0.009l-0.017-0.013c-0.506-0.024-0.746-0.142-1.067-0.302c-0.442-0.223-0.758-0.73-0.92-1.087s-0.521-0.662-0.521-0.662c-0.588-0.336-1.695-0.343-2.813-0.15c-1.115,0.193-2.656,0.707-2.925,0.812c-0.268,0.104-1.616,0.551-2.307,0.73c-0.693,0.178-1.222,0.357-1.646,0.47c-0.427,0.111-3.432,1.005-4.556,1.339c-1.126,0.334-1.849,0.46-1.849,0.46c-1.688,0.172-2.193-0.134-2.193-0.134c-0.296-0.124-0.261-0.526-0.261-0.526l0.009-1.147c0,0-0.027-0.433-0.357-0.611c-0.328-0.179-0.779-0.252-1.593-0.29c-0.811-0.038-1.683,0.044-2.093,0.134c-0.408,0.09-1.189,0.313-1.764,0.952c-0.572,0.641-0.481,1.139-0.481,1.139s0.004,0.079,0.01,0.201c0.154,0.245,0.416,0.524,0.862,0.739c1.015,0.485-1.137,1.342-1.137,1.342l0,0c-0.479,0.208-1.191,0.478-2.208,0.777c-2.21,0.647-3.684,0.774-3.684,0.774l0.679,0.254c0,0,5.468-1.016,7.148-2.616c0,0,0.625-0.293,0.021-0.88c-0.606-0.585-0.898-0.761-0.898-0.761s-0.41-0.223,0.02-0.772c0.428-0.546,0.922-0.794,1.352-0.933c0.428-0.135,1.754-0.249,2.925-0.093c0,0,0.491,0.042,0.457,0.407c-0.032,0.365-0.087,0.873-0.077,1.028c0.01,0.157,0.025,0.515,0.399,0.845c0.379,0.332,1.098,0.453,1.098,0.453s1.257,0.228,2.845-0.218c1.586-0.444,3.65-1.141,5.438-1.629L63.301,4.417L63.301,4.417z"/><linearGradient id="SVGID_37_" gradientUnits="userSpaceOnUse" x1="412.6152" y1="535.3994" x2="501.5865" y2="514.8846" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#FFF"/><stop offset=".6538" stop-color="#FFF"/><stop offset="1" stop-color="#CBCCCE"/></linearGradient><path style="fill:url(#SVGID_37_);" d="M91.596,12.992l0.271,0.486c-0.021,0.01-0.034,0.014-0.034,0.014c-1.114,0.515-3.999,1.32-4.271,1.398c-0.271,0.08-0.166,0.234-0.166,0.234c0.029,0.078,0.988,1.106,0.988,1.106c1.178,1.249,0.494,2.296,0.494,2.296s-0.852,1.347-2.844,1.12c-1.993-0.227-2.618-1.767-2.729-2.049c-0.111-0.282-0.197-0.768-0.22-1.095c-0.022-0.33-0.272-0.32-0.272-0.32c-1.069-0.03-2.887,1.089-2.887,1.089c-0.824,0.47-1.682,1.147-3.479,1.958c-0.879,0.396-1.694,0.716-2.287,0.936l-0.967-0.173l0.091,0.482c-0.042,0.013-0.063,0.021-0.063,0.021s-2.268,0.822-4.529,1.553c-2.268,0.732-3.65,0.8-3.65,0.8s-1.336,0.12-2.266-0.266c-0.93-0.386-0.959-0.94-0.939-1.415c0.021-0.476,0.483-1.404,0.623-1.958c0.139-0.555-0.683-0.644-0.683-0.644s-1.958-0.236-3.65,0.296c-1.69,0.535-2.54,1.159-2.54,1.159c-0.91,0.512-0.863,0.957-0.863,0.957s-0.012,0.467,0.551,0.869s1.072,0.505,1.736,0.654c0.668,0.149,0.791,0.311,0.791,0.311c1.08,0.894,0.416,1.785,0.047,2.434c-0.631,1.113-3.674,1.653-3.674,1.653c-3.276,0.758-5.12,1.08-7.827,1.452l-0.876-0.46l-0.276,0.615c-7.089,0.936-10.065,1.877-11.065,2.135c-1,0.257-1.261,0.784-1.369,0.904c-0.108,0.12,0.079,0.171,0.079,0.171c0.427,0.137,0.647,0.442,0.647,0.442s1.399,1.697-0.012,3.108c-1.359,1.36-2.785,1.674-2.785,1.674s-2.177,0.737-4.077,0.341c-1.899-0.399-2.439-1.889-2.416-2.395c0.024-0.505,0.176-1.075,0.694-1.661c0.517-0.585,0.654-0.667,0.654-0.667s0.358-0.279,0.421-0.415c0.079-0.172-0.404-0.233-0.404-0.233c-1.034-0.13-3.496-0.097-5.822,0.131c-1.439,0.14-2.769,0.374-3.578,0.518l-0.223-0.48l-0.543,0.625l-3.12,0.504c-1.514,0.222-2.576-0.028-2.576-0.028s-1.331-0.397-1.479-1.252c-0.147-0.852,0.359-1.87,0.49-2.177c0.13-0.307,0.5-0.934,0.5-0.934s0.068-0.13,0.068-0.34c0-0.211-0.233-0.536-0.233-0.536s-0.205-0.396-0.886-0.38c-0.682,0.018-0.866,0.131-1.144,0.364c-0.044,0.038-0.079,0.081-0.108,0.127c0.021-0.064,0.045-0.117,0.073-0.158c0.21-0.309,0.65-0.668,1.401-0.7c0.748-0.034,1.041,0.228,1.041,0.228c0.719,0.82,0.115,1.845-0.351,2.76c-0.057,0.095-0.155,0.271-0.229,0.483c-0.032,0.076-0.062,0.153-0.087,0.227c-0.358,1.06,0.292,1.565,0.668,1.661c0.376,0.097,1.141,0.57,4.269-0.031c3.13-0.603,3.587-0.731,3.587-0.731s6.145-1.087,8.96-0.425l0.023,0.004c0,0,1.297,0.367,0.331,1.334c-0.966,0.966-1.729,1.617-1.504,2.377c0.223,0.762,1.267,1.903,3.646,1.603c0,0,0.842-0.113,1.105-0.165c1.733-0.336,2.899-1.268,2.899-1.268s0.972-0.721,0.782-1.631c-0.187-0.908-1.017-1.189-1.017-1.189s-0.659-0.424-0.141-1.237c0,0,0.141-0.69,2.553-1.317c2.412-0.626,6.813-1.518,10.555-1.989c3.49-0.408,9.652-1.575,10.89-2.08c1.235-0.508,1.497-1.4,1.521-1.708c0.024-0.31,0.072-0.83-1.14-1.09c-1.213-0.259-1.758-0.655-1.931-0.79c-0.172-0.138-0.545-0.483-0.545-1.275c0-0.791,1.607-1.745,3.392-2.35c1.78-0.606,3.927-0.34,3.927-0.34c1.948,0.167,0.936,1.963,0.936,1.963c-0.074,0.322-0.946,1.785,0.5,2.169c1.541,0.409,4.175-0.347,5.188-0.669c0.829-0.261,3.141-1.074,4.688-1.62c0.352-0.122,0.66-0.231,0.908-0.318c1.656-0.577,3.019-1.219,3.785-1.681c0.771-0.462,2.144-1.297,2.144-1.297s1.351-0.744,1.799-0.808c0.451-0.064,1.619-0.346,1.771,0.771c0.155,1.115,0.631,1.899,1.4,2.271c0.771,0.371,2.064,0.538,3.246-0.231c1.182-0.771,0.359-1.901,0.359-1.901c-0.021-0.028-0.039-0.057-0.062-0.085c-0.151-0.27-0.369-0.518-0.487-0.646c-0.388-0.47-0.736-0.822-0.736-0.822c-0.295-0.436,0.053-0.692,0.425-0.834c0.373-0.141,2.351-0.758,2.351-0.758c1.155-0.383,1.592-0.551,2.053-0.988c0.445-0.419-0.189-1.34-0.239-1.412l0.004-0.002l0.608,0.256c0.136,0.182,0.27,0.362,0.4,0.547l-0.007,0.005c0,0,0.226,0.527,0.054,0.799c-0.095,0.149-0.343,0.293-0.545,0.395L91.596,12.992L91.596,12.992z"/><linearGradient id="SVGID_38_" gradientUnits="userSpaceOnUse" x1="390.042" y1="485.6797" x2="390.042" y2="485.6797" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#FFF"/><stop offset=".6538" stop-color="#FFF"/><stop offset="1" stop-color="#CBCCCE"/></linearGradient><path style="fill:url(#SVGID_38_);" d="M-16.122-14.641"/><path style="opacity:.1;fill:#232323;" d="M57.455,92.28c-0.034-0.042-0.042-0.034-0.012-0.063c0.021-0.021,0.086-0.082,0.115-0.137c0,0-1.17-0.063-2.141,0.077c-0.962,0.137-1.933,0.335-1.933,0.335l0.301,0.146c0,0,0.127-0.055,1.047-0.183c0.921-0.128,1.267-0.128,1.267-0.128s0.808-0.063,0.969-0.063c0.162,0,0.061,0.104,0.061,0.104s-0.078,0.136,0.366,0.124c0,0,0.663-0.027,1.313-0.188C58.809,92.309,57.678,92.544,57.455,92.28z"/><path style="opacity:.1;fill:#232323;" d="M54.469,92.691c0,0,0.146,0.266-2.923,0.394c0,0,1.788,0.052,3.31-0.198C55.963,92.707,54.469,92.691,54.469,92.691L54.469,92.691z"/><path style="opacity:.1;fill:#232323;" d="M13.114,9.856c0,0-0.005,0.096,0.019,0.131c0.024,0.034,0.107,0.112,0.107,0.112s0.328-0.5,0.194-0.438c0,0-0.119,0.187-0.164,0.23c0,0-0.029,0.04-0.088,0.077C13.123,10.006,13.117,9.991,13.114,9.856L13.114,9.856z"/><path style="opacity:.1;fill:#232323;" d="M10.595,12.501c0,0-0.388,0.46,0,0.52l0.528-0.527c0,0,0.139-0.234,0.139-0.398C11.263,12.095,10.752,12.343,10.595,12.501L10.595,12.501z"/><path style="fill:#232323;" d="M-16.122-14.641"/><path style="fill:#6B6B6B;" d="M21.093,23.707c1.227,0.146,1.499-0.132,1.527-0.172c0.294-0.003,1.475-0.034,2.865-0.207c1.685-0.21,3.564-0.891,3.564-0.891s1.554-0.568,2.096-1.18l0.016-0.002c0,0-0.693-0.6-1.057-1.122c0,0-0.286-0.557,0.027-1.035c0.316-0.479,0.836-1.008,2.344-1.643c1.506-0.636,2.356-0.514,2.356-0.514s0.594-0.006,1.007,0.45c0.415,0.458,0.649,1.006,0.649,1.006s0.029,0.38-0.115,0.63c-0.141,0.251-0.155,0.277-0.155,0.277s0.049,0.017,0.378-0.007c0.329-0.021,1.165-0.142,2.67-0.506c1.508-0.363,3.407-0.972,3.407-0.972s4.9-1.578,5.407-1.714c0.507-0.135,1.357-0.436,1.357-0.436l0.027,0.059c0,0,0.405,0.663,0.392,1.269V16.94c0,0-0.021,0.301-0.698,0.818c-0.674,0.517-1.226,0.479-1.678,0.442c-0.452-0.039-0.665-0.071-0.794-0.045l-0.72,0.04c-0.787,0.111-1.224,0.407-1.224,0.407c-1.804,1.065,0.731,9.287,0.731,9.287c-3.742,0.47-8.143,1.363-10.555,1.989c-2.412,0.627-2.553,1.317-2.553,1.317c-0.519,0.813,0.141,1.236,0.141,1.236s0.829,0.283,1.017,1.19c0.19,0.91-0.783,1.629-0.783,1.629s-1.159,0.97-2.898,1.268c-1.738,0.298-2.396,0.35-3.429-0.47c-0.91-0.721-0.297-1.864,0.312-2.301c0.612-0.438,0.909-0.91,0.988-1.113c0.079-0.203,0.032-0.376,0.032-0.376l-0.58-0.534c-2.005-1.33-9.884,0.063-9.884,0.063c-0.213-1.169-0.362-1.171-0.282-3.117c0.051-1.244,0.291-1.752,0.291-1.752l0.058-0.164c0,0,0.448-1.443,1.141-2.44c0,0,0.602-0.172,1.364-0.349C20.616,23.793,21.093,23.707,21.093,23.707L21.093,23.707z"/><linearGradient id="SVGID_39_" gradientUnits="userSpaceOnUse" x1="231.2324" y1="-407.8711" x2="263.6191" y2="-407.8711" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#696969"/><stop offset=".3702" stop-color="#2E2E2E"/><stop offset=".4554" stop-color="#424242"/><stop offset=".6014" stop-color="#303030"/><stop offset=".6947" stop-color="#4A4A4A"/><stop offset="1" stop-color="#666666"/></linearGradient><path style="opacity:.45;fill:url(#SVGID_39_);" d="M49.855,16.94c0,0-4.085,1.326-3.891,1.254c0,0-0.39,0.075-0.686,0.161c-0.294,0.086-0.539,0.247-0.539,0.247s-3.288,1.222-6.438,1.848c-3.148,0.627-2.977-0.361-2.708-0.83c0.232-0.409,0.829-1.112-0.188-1.254c-1.019-0.14-1.788,0.251-2.21,0.439c-0.422,0.189-3.162,1.362-1.251,2.254c0,0,1.423,0.642-0.377,1.755c0,0-1.816,1.16-5.355,1.77c0,0-0.565,0.063-1.88,0.111c-1.316,0.046-2.558,0.213-4.12,0.658c-1.378,0.391-1.992,0.579-2.744,1.065l0.194-0.501l0.2-0.462c1.069-0.533,3.719-1.288,5.717-1.378c1.997-0.089,2.908-0.16,4.721-0.624c2.134-0.546,2.702-1.019,2.93-1.163c0.194-0.123,0.771-0.479,0.493-0.633c-0.359-0.199-0.895-0.729-0.895-0.729c-0.217-0.256-0.39-0.373-0.158-1.046c0.356-1.029,2.196-1.644,2.196-1.644s1.028-0.534,2.334-0.514c1.305,0.021,1.287,0.752,1.287,0.752s0.062,0.34-0.268,0.827c0,0-0.503,0.579-0.049,0.656c0.454,0.081,1.622,0.179,5.48-1.028c3.859-1.207,8.085-2.611,8.085-2.611S49.855,16.66,49.855,16.94L49.855,16.94z"/><linearGradient id="SVGID_40_" gradientUnits="userSpaceOnUse" x1="231.623" y1="-407.063" x2="263.4941" y2="-407.063" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#525252"/><stop offset=".1856" stop-color="#333333"/><stop offset=".354" stop-color="#AEAEAE"/><stop offset=".4199" stop-color="#ADADAD"/><stop offset=".4276" stop-color="#9D9D9D"/><stop offset=".4433" stop-color="#818181"/><stop offset=".4611" stop-color="#6A6A6A"/><stop offset=".4814" stop-color="#585858"/><stop offset=".506" stop-color="#4C4C4C"/><stop offset=".539" stop-color="#444444"/><stop offset=".6166" stop-color="#424242"/><stop offset=".6684" stop-color="#454545"/><stop offset="1" stop-color="#BDBDBD"/></linearGradient><path style="fill:url(#SVGID_40_);" d="M31.145,21.257c-0.541,0.612-2.096,1.18-2.096,1.18s-1.88,0.68-3.564,0.891c-1.608,0.201-2.777,0.209-2.777,0.209l-0.082-0.002c-0.175,0.145-0.483,0.188-0.728,0.21c-0.244,0.023-0.806-0.039-0.806-0.039s-2.156,0.432-2.603,0.616c0,0-0.253,0.392-0.331,0.539c-0.08,0.146-0.299,0.594-0.299,0.594c1.069-0.534,3.718-1.289,5.717-1.379c1.997-0.089,2.908-0.159,4.721-0.624c2.134-0.546,2.702-1.019,2.929-1.163c0.195-0.123,0.771-0.479,0.493-0.633c-0.358-0.199-0.894-0.729-0.894-0.729c-0.217-0.256-0.391-0.373-0.158-1.046c0.356-1.029,2.196-1.644,2.196-1.644s1.028-0.533,2.333-0.514c1.306,0.021,1.287,0.753,1.287,0.753s0.062,0.34-0.269,0.826c0,0-0.503,0.579-0.049,0.657c0.455,0.08,1.622,0.178,5.48-1.028c3.858-1.208,8.085-2.612,8.085-2.612c-0.098-0.29-0.296-0.652-0.296-0.652s-0.85,0.301-1.358,0.436c-0.506,0.136-5.407,1.714-5.407,1.714s-1.9,0.608-3.407,0.972c-1.506,0.364-2.342,0.485-2.671,0.508c-0.329,0.021-0.378,0.006-0.378,0.006s0.013-0.027,0.156-0.279c0.144-0.248,0.115-0.629,0.115-0.629s-0.235-0.548-0.649-1.006c-0.414-0.457-1.007-0.45-1.007-0.45s-0.849-0.121-2.355,0.514c-1.508,0.636-2.029,1.164-2.346,1.643c-0.312,0.478-0.026,1.035-0.026,1.035c0.365,0.521,1.057,1.122,1.057,1.122"/><linearGradient id="SVGID_41_" gradientUnits="userSpaceOnUse" x1="236.917" y1="-417.333" x2="235.8882" y2="-410.5272" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)"><stop offset="0" stop-color="#969696"/><stop offset="1" stop-color="#000"/></linearGradient><path style="opacity:.2;fill:url(#SVGID_41_);" d="M21.606,31.241c0,0-0.064-0.328,0.172-0.939c0.234-0.611,0.908-0.595,1.362-0.503c0.455,0.095,0.846,0.298,1.472-0.124c0.627-0.423,0.47-1.583,0.046-2.852c-0.423-1.267-0.328-2.128-0.328-2.128l-0.608-0.649l-0.237,0.696c0.047,1.316,0.657,3.226,0.829,3.759c0.173,0.533,0.297,0.8-0.735,0.517c-1.034-0.282-1.519,0.125-1.519,0.125c-1.332,0.862-1.082,2.161-1.082,2.161L21.606,31.241z"/><path style="opacity:.5;fill:#141414;" d="M27.498,36.633c-0.264-1.763-0.917-2.749-0.917-2.749c-0.25,0.188-0.513,0.693-0.513,0.693s0.179,0.208,0.471,1.568c0,0,0.141,0.106,0.438,0.279C27.273,36.597,27.498,36.633,27.498,36.633z"/><path style="opacity:.5;fill:#141414;" d="M33.152,32.881c0,0-0.78,0.907-0.378,2.336c0,0,0.454-0.379,0.585-0.68c0,0-0.145-0.458,0.138-1.017C33.5,33.52,33.37,33.1,33.152,32.881L33.152,32.881z"/><linearGradient id="SVGID_42_" gradientUnits="userSpaceOnUse" x1="428.7803" y1="532.0527" x2="429.5303" y2="524.4692" gradientTransform="matrix(1 0 0 1 -406.1641 -500.3203)"><stop offset="0" stop-color="#333333"/><stop offset=".431" stop-color="#000"/><stop offset="1" stop-color="#2E2E2E"/></linearGradient><path style="opacity:.18;fill:url(#SVGID_42_);" d="M21.2,31.253c0.017-1.299,0.471-1.492,0.905-1.818c0.436-0.328,1.326-0.024,1.326-0.024s0.678,0.218,1.046-0.1c0.369-0.319-0.017-1.467-0.217-2.123c-0.202-0.653-0.41-1.599-0.445-2.262c-0.025-0.489-0.091-0.707-0.125-0.789l-0.205,0.604c0.047,1.316,0.657,3.226,0.829,3.759c0.173,0.533,0.297,0.8-0.735,0.517c-1.035-0.282-1.519,0.125-1.519,0.125c-1.332,0.862-1.082,2.162-1.082,2.162l0.259-0.027L21.2,31.253L21.2,31.253z"/><path style="opacity:.3;fill:#505050;" d="M26.239,34.29c0.045,0.06,0.421,0.597,0.736,2.113l0.005,0.025c0.294,0.17,0.519,0.205,0.519,0.205c-0.264-1.763-0.917-2.749-0.917-2.749C26.46,33.977,26.336,34.143,26.239,34.29L26.239,34.29z"/><path style="opacity:.3;fill:#505050;" d="M33.152,32.881c0,0-0.78,0.907-0.378,2.336c0,0,0.125-0.104,0.262-0.248l0.021-0.051c-0.304-1.033,0.283-1.763,0.283-1.763l0.004-0.003C33.291,33.053,33.225,32.957,33.152,32.881z"/><path style="opacity:.88;fill:#231F20;" d="M17.159,8.189h0.117c-0.16,0.481-0.789,1.141-1.068,1.583c-0.156,0.248-0.252,0.572-0.474,0.751c0.038,0.043-0.003,0.003,0.04,0.04c0.088,0.052,0.813-0.139,0.95-0.236c0.082,0.015,0.076,0.011,0.12,0.039c0.042,0.07-0.481,0.991-0.595,1.109v0.04c0.196-0.023,0.502-0.056,0.634-0.16c0.383-0.299,0.47-0.937,0.75-1.346c-0.013-0.066-0.026-0.132-0.04-0.196c-0.222-0.04-0.681,0.02-0.87,0.157h-0.039c0.091-0.473,0.868-1.346,1.146-1.741c0.454-0.647,0.881-1.269,1.345-1.9c0.243-0.331,0.585-0.622,0.831-0.949c0.276-0.367,0.569-0.85,0.949-1.107V4.194h-0.158c-0.186,0.135-0.675,0.218-0.908,0.354c0.032,0.135,0.019,0.101,0.118,0.158c-0.139,0.386-0.598,0.673-0.832,0.991c-0.371,0.5-0.784,0.968-1.147,1.464c-0.123,0.164-0.205,0.421-0.356,0.553c-0.237,0.208-0.913,0.185-1.185,0.396h-0.08c0.056-0.332,0.907-1.392,1.147-1.622v-0.04c-0.408,0.057-0.724,0.273-0.989,0.473c0.044,0.091,0.037,0.073,0.12,0.12c-0.145,0.238-0.361,0.415-0.515,0.633c-0.197,0.275-0.305,0.602-0.514,0.871c0.014,0.04,0.028,0.077,0.04,0.118C15.948,8.641,17.001,8.307,17.159,8.189L17.159,8.189z M51.936,13.534c0.199,0.066,0.396,0.131,0.596,0.197c0.159,0.002,0.327-0.002,0.432-0.04c-0.009-0.654-0.364-0.913-0.593-1.345c-0.113-0.22-0.175-0.523-0.355-0.673c0.069-0.242,0.727-0.308,0.988-0.396c0.643-0.211,1.371-0.422,2.02-0.633c0.305-0.099,0.664-0.077,0.91-0.236c0.146,0.015,0.22,0.029,0.277,0.118c0.143,0.212,0.26,1.667,0.156,2.097c-0.398,1.663-0.896,2.963-1.938,3.958v0.039c0.385-0.062,0.568-0.436,0.83-0.632c1.051-0.794,1.762-1.972,2.137-3.444c0.221-0.865-0.14-1.713,0.199-2.452h-0.039c-0.074-0.188-1.082-0.553-1.388-0.555c-0.164,0.177-0.399,0.416-0.634,0.515c-0.357,0.152-0.838,0.109-1.146,0.315c-0.287-0.024-0.506-0.57-0.315-0.791c-0.011-0.09-0.009-0.112-0.04-0.158c-0.239-0.191-0.85-0.171-1.268-0.158c-0.133,0.125-0.252,0.15-0.314,0.358h-0.039c-0.021,0.076,0.02,0.05,0.039,0.078c0.025,0.016,0.163-0.007,0.236,0.04c0.449,0.047,0.438,0.566,0.675,0.831c-0.027,0.069-0.011,0.04-0.042,0.08c-0.155,0.123-1.301,0.453-1.543,0.515c-0.185,0.046-0.414-0.068-0.553-0.081c-0.336-0.028-0.633,0.16-0.831,0.277c0.107,0.157,0.434,0.118,0.554,0.276C51.368,12.193,51.556,12.913,51.936,13.534L51.936,13.534z M59.807,12.977c0.187,0.093,0.187,0.332,0.278,0.514c0.185,0.371,0.437,0.82,0.554,1.228v0.316c0.092,0.252,0.396,0.284,0.596,0.435c0.156-0.021,0.214-0.061,0.314-0.118c-0.066-0.753-0.525-1.378-0.791-1.979c-0.08-0.188-0.207-0.452-0.236-0.633c-0.021-0.109,0.063-0.169,0-0.276c-0.051-0.123-0.072-0.085-0.156-0.159c-0.059-0.04-0.031-0.016,0-0.078c0.068-0.144,0.213-0.287,0.275-0.436c0.133-0.313,0.127-0.576,0.396-0.751c-0.04-0.41-0.639-0.457-1.107-0.435c-0.057,0.042-0.156,0.064-0.24,0.077c0.05,0.103,0.082,0.124,0.199,0.157c0.113,1.161-0.699,2.225-1.229,2.928c-0.208,0.279-0.556,0.456-0.75,0.754h-0.04v0.038C58.395,14.473,59.54,13.383,59.807,12.977L59.807,12.977z M12.407,22.83c-0.081,0.017-0.076,0.009-0.117,0.039c-0.288,0.148-0.773,1.426-1.346,1.069c-0.292,0.002-0.319-0.055-0.476-0.16c0.02-0.376,0.659-1.063,0.913-1.226c0.031-0.604,0.187-1.252,0.118-1.819c-0.041-0.014-0.08-0.028-0.118-0.039c-0.14-0.046-0.25,0.168-0.357,0.276c-0.29,0.291-0.648,0.597-0.871,0.949c-0.337-0.003-1.414-0.013-1.623,0.119H8.411c0.099-0.256,0.86-1.096,0.633-1.464c-0.013-0.041-0.025-0.08-0.04-0.12c-0.722,0.002-1.592,1.287-1.82,1.82c-0.115,0.266-0.115,0.573-0.276,0.791v0.04c0.54-0.066,1.082-0.133,1.622-0.199c0.205-0.044,0.487,0.052,0.633-0.039h0.554c0.092-0.118,0.184-0.238,0.277-0.356c0.33-0.349,0.768-0.702,1.028-1.106h0.119v0.551c-0.303,0.273-0.773,0.695-0.91,1.108v0.316c-0.203,0.88,0.223,1.329,0.99,1.267c0.5-0.466,1.324-0.848,1.226-1.779C12.405,22.833,12.444,22.873,12.407,22.83L12.407,22.83z M7.819,22.118H7.58c0.109-0.436,0.537-0.935,1.069-0.95v0.197c-0.185,0.239-0.369,0.475-0.554,0.713C7.982,22.076,7.88,22.076,7.819,22.118z M93.044,22.315c-0.164-0.405-0.294-0.722-0.475-1.068c-0.3-0.574-0.613-1.414-1.464-1.425c-0.211,0.179-0.435,0.322-0.555,0.593c-0.777,1.762,0.819,3.747,1.543,4.71c0.256,0.339,0.557,0.712,0.948,0.908c-0.091,1.376-1.269,1.813-2.53,1.267c-0.899-0.386-1.617-1.237-2.179-1.979c-0.188-0.249-0.481-0.457-0.672-0.713c-0.177-0.239-0.304-0.507-0.515-0.713v-0.039h-0.078c0.107,0.426,0.354,0.815,0.514,1.188c0.669,1.538,1.52,2.614,2.811,3.521c0.608,0.428,1.621,1.104,2.494,0.475C94.412,27.942,93.669,23.851,93.044,22.315L93.044,22.315z M92.928,24.216c-0.104,0.1-0.539-0.419-0.635-0.515c-0.441-0.443-1.329-1.221-0.83-1.979h0.197c0.388,0.403,0.746,0.788,0.99,1.344c0.129,0.299,0.152,0.805,0.313,1.069C92.941,24.205,92.958,24.175,92.928,24.216L92.928,24.216z M66.693,32.128v-0.395c0.179-0.801,0.137-1.765,0.314-2.572c0.241-1.088-0.101-2.148,0.99-2.414c0.021-0.106,0.057-0.148,0-0.238c-0.025-0.067-0.009-0.039-0.04-0.079c-0.043-0.031-0.038-0.024-0.116-0.039c-0.305,0.222-1.131,0.373-1.543,0.474c-0.313,0.076-0.639,0.01-0.871,0.158c-0.039,0.013-0.078,0.027-0.119,0.04c0.014,0.079,0.025,0.159,0.041,0.237c0.451,0.147,0.867-0.031,1.067,0.356c0.13,0.252,0.112,1.157,0.039,1.504c-0.251,1.163-0.146,2.491-0.396,3.64c-0.086,0.397,0.022,1.171-0.157,1.463v0.08c-0.241-0.115-0.397-0.426-0.554-0.633c-0.354-0.467-0.875-0.84-1.229-1.305c-0.213-0.281-0.437-0.617-0.712-0.833c0.037-0.761,0.259-1.56,0.438-2.254c0.131-0.522,0.135-1.005,0.395-1.386c0.148-0.217,0.505-0.355,0.751-0.475c-0.002-0.1-0.004-0.146-0.04-0.198c-0.014-0.04-0.023-0.079-0.037-0.119c-0.543,0.081-1.003,0.341-1.505,0.475c-0.454,0.123-0.911,0.092-1.269,0.276c0.012,0.091,0.01,0.112,0.041,0.158c0.014,0.039,0.024,0.08,0.039,0.118c1.391-0.078,1.18,0.678,0.912,1.742c-0.084,0.326-0.029,0.775-0.199,1.028v0.079h-0.039c-0.285-0.433-0.713-0.852-1.067-1.227c-0.146-0.132-0.291-0.264-0.435-0.395c-0.104-0.137-0.16-0.312-0.278-0.436c0.024-0.437,0.38-0.549,0.713-0.672c-0.015-0.183-0.052-0.206-0.118-0.317c-1.031,0.151-1.927,0.73-3.086,0.791v0.041h-0.04c0.004,0.1,0.004,0.146,0.04,0.197v0.079c0.227,0.039,0.564-0.054,0.831,0.04c0.427,0.15,0.81,0.648,1.067,0.99c0.388,0.513,0.996,0.949,1.384,1.463c0.204,0.274,0.434,0.634,0.713,0.832c-0.038,0.696-0.229,1.428-0.396,2.058c-0.086,0.323-0.035,0.735-0.197,0.988c-0.025,0.069-0.01,0.039-0.041,0.08c-0.377-0.718-1.104-1.265-1.582-1.9c-0.918-1.22-1.938-2.319-2.889-3.521c0-0.167,0.01-0.268,0.08-0.356c0.073-0.229,0.359-0.443,0.633-0.476c0.015-0.12,0.033-0.135-0.039-0.238c-0.016-0.038-0.026-0.077-0.041-0.118c-0.803,0.123-1.521,0.497-2.293,0.714c-0.401,0.112-0.928,0.057-1.229,0.276c-0.04,0.013-0.08,0.026-0.117,0.04c0.021,0.152,0.061,0.176,0.117,0.277c0.314-0.005,0.646-0.092,0.949,0c0.793,0.241,1.361,1.137,1.818,1.742c0.201,0.266,0.513,0.483,0.713,0.751c0.849,1.129,1.808,2.146,2.65,3.285c0.328,0.442,0.771,0.825,1.066,1.304c0.179-0.004,0.216-0.025,0.316-0.079c0.213-0.929,0.332-1.866,0.596-2.81c0.119-0.432,0.269-0.942,0.314-1.424c0.327,0.117,0.592,0.607,0.793,0.871c0.618,0.821,1.491,1.502,2.057,2.373c0.164-0.007,0.182-0.026,0.277-0.078C66.352,34.819,66.521,33.473,66.693,32.128L66.693,32.128z M4.297,38.894c-0.013,2.467-0.142,6.269,1.781,6.806c0.7,0.193,1.087-0.271,1.306-0.595c0.786-1.17,0.565-3.446-0.199-4.43c-0.339,0.034-0.825,0.84-0.988,1.106c-0.082-0.016-0.075-0.011-0.119-0.04c-0.091-0.041-0.085-0.066-0.159-0.118c-0.06-0.933,0.127-1.802,0.159-2.691c1.044,0.102,1.941,0.696,3.007,0.751c-0.001-0.185,0-0.434,0.077-0.552c-0.009-0.092-0.007-0.112-0.04-0.16c-0.145-0.115-0.949-0.306-1.186-0.315v-0.04h-0.04c0.146-1.174-0.186-2.082-0.99-2.414c-0.449-0.08-0.897-0.16-1.346-0.239c-0.229-0.083-0.341-0.266-0.514-0.395c-0.058-0.38-0.133-0.806,0.159-1.029c-0.021-0.142-0.032-0.168-0.119-0.238v-0.039h-0.04c-0.133,0.228-0.245,0.493-0.315,0.792c-0.234,0.983,0.309,1.818,0.909,2.018c0.397,0.065,0.792,0.132,1.188,0.197c0.314,0.122,0.453,0.379,0.671,0.595c-0.009,0.512-0.5,0.568-0.91,0.435c-0.64-0.208-1.321-0.353-1.977-0.592c-0.172-0.064-0.333-0.17-0.555-0.199c-0.027,0.25-0.054,0.501-0.08,0.751c0.554,0.171,1.109,0.343,1.662,0.515c-0.023,1.398-0.574,3.074,0.119,4.153c0.084,0.021,0.143,0.037,0.198,0.08c0.78-0.054,0.943-0.68,1.345-1.108c0.342,0.82,0.086,2.253-0.671,2.453c-0.326,0.224-0.803-0.066-0.989-0.237c-0.648-0.599-0.785-1.511-1.027-2.532c-0.083-0.344,0.033-1.042-0.118-1.307c0.006-0.404,0.092-1.134-0.12-1.344v-0.039L4.297,38.894L4.297,38.894z M99.336,45.543c-0.143-0.666,0.055-1.478-0.08-2.097v-0.633c-0.097-0.453-0.059-1.056-0.156-1.502c-0.189-0.882-0.022-1.926-0.355-2.652c-0.197-0.047-0.393-0.084-0.671-0.08c-0.103,0.104-0.179,0.158-0.159,0.278c0.083,0.359,0.547,0.432,0.673,0.792c0.015,0.172,0.026,0.343,0.04,0.514c0.133,0.561,0.111,1.286,0.236,1.86v0.475c0.063,0.289,0.16,1.036,0.078,1.267c-0.139,0.41-0.584,0.78-0.868,1.068c-0.754,0.755-1.64,1.715-2.97,1.859c-0.025,0.068-0.01,0.039-0.041,0.08c0.022,0.494,0.476,0.396,0.793,0.594c0.08-0.014,0.158-0.028,0.236-0.042c0.122-0.074,0.191-0.242,0.276-0.356c0.2-0.261,0.563-0.399,0.751-0.671h0.04c0.002,1.205,0.028,2.561,0.04,3.718h0.117c0.272-1.172,0.252-2.61,0.238-4.039c0.521-0.486,0.853-1.19,1.385-1.66v-0.078h0.041c0.007,1.251,0.037,2.529,0.037,3.797c0,0.407-0.102,1.378,0,1.544v0.237h0.08c0.106-0.425,0.133-1.023,0.236-1.501v-0.674C99.451,47.107,99.45,46.078,99.336,45.543L99.336,45.543z M28.313,48.073c-0.347-0.144-0.776-0.461-0.989-0.751c-0.637-0.875-1.337-2.948-0.87-4.51c0.379-1.266,1.202-2.127,2.532-2.454c0.673-0.163,1.397,0.062,1.821,0.278c1.208,0.622,1.725,1.506,2.096,2.967c0.48,1.887-0.132,3.619-1.385,4.194c0.078,0.764,0.158,1.529,0.237,2.295c0.444-0.013,0.852-0.105,1.227-0.199c0.629-0.155,1.271-0.176,1.86-0.315c0.431-0.104,1.052-0.015,1.384-0.237c0.079-0.17-0.247-1.35-0.315-1.623c-0.057-0.229-0.009-0.461-0.119-0.633v-0.079c-0.091,0.012-0.185,0.025-0.277,0.039c0.018,1.195-0.834,1.032-1.781,1.267c-0.473,0.119-1.049,0.27-1.581,0.276c0-0.17,0-0.343-0.001-0.514c0.045-0.083,0.739-0.386,0.868-0.476c0.461-0.318,0.931-0.826,1.229-1.304c0.202-0.327,0.366-0.764,0.473-1.149c0.138-0.489,0.154-1.17,0.041-1.662c-0.079-0.338-0.048-0.603-0.158-0.91c-0.427-1.187-1.322-2.054-2.453-2.532c-0.513-0.216-1.093-0.224-1.7-0.356c-0.539-0.116-1.509,0.124-1.901,0.238c-1.905,0.562-3.198,1.48-3.799,3.323c-0.236,0.728-0.163,1.736,0.04,2.414c0.467,1.561,1.773,3.02,3.72,3.047v0.039c0.062,0.088,0.06,0.264,0.118,0.355c-0.024,0.067-0.009,0.039-0.04,0.08c-0.164,0.111-0.404,0.061-0.633,0.117c-0.47,0.118-1.986,0.486-2.334,0.158c-0.222-0.072-0.37-0.363-0.396-0.632c-0.099,0.004-0.146,0.004-0.197,0.039h-0.082c0.146,0.767,0.291,1.53,0.435,2.296h0.041v0.04c1.385-0.239,2.77-0.478,4.154-0.713c-0.198-0.728-0.395-1.451-0.593-2.179C28.873,48.139,28.517,48.159,28.313,48.073L28.313,48.073z M96.014,43.682c0.086,0.218,0.254,0.58,0.435,0.712c0.086,0.063,0.132,0.04,0.198,0.119c1.31,0.113,1.842-2.143,1.308-3.442c-0.095-0.225-0.517-0.885-0.911-0.633h-0.08c0.026-0.069,0.01-0.038,0.04-0.08c-0.001-0.188-0.021-0.25-0.077-0.356c-0.08-0.013-0.156-0.026-0.238-0.038c-0.039,0.031-0.01,0.014-0.078,0.038c0.027,0.24,0.111,0.247,0.119,0.514C96.09,41.099,95.545,42.497,96.014,43.682z M96.446,41.585c0.088-0.213,0.265-0.35,0.396-0.515c0.082-0.015,0.075-0.01,0.117-0.04c0.301-0.001,0.385,0.057,0.555,0.159c0.301,0.711,0.346,1.954-0.156,2.494c-0.077,0.085-0.229,0.116-0.315,0.197C96.214,43.817,96.146,42.305,96.446,41.585L96.446,41.585z M78.092,57.168c-0.445-0.273-0.507-1.675-0.673-2.294c-0.327-1.215-0.483-2.489-0.831-3.72c-0.223-0.788-0.523-1.605-0.435-2.572c0.139-0.138,0.231-0.32,0.396-0.436c0.223-0.154,0.58-0.229,0.752-0.436c0.027-0.051-0.019-0.128-0.041-0.238c-0.459,0.074-0.879,0.35-1.267,0.515c-0.792,0.337-1.567,0.536-2.373,0.87c-0.252,0.104-0.515,0.282-0.833,0.315v0.238c0.027,0.014,0.055,0.025,0.08,0.04c0.042,0.045,1.033-0.392,1.346-0.118c0.356,0.125,0.311,0.59,0.514,0.872c-0.061,0.614-0.672,1.558-0.912,2.097c-0.58,1.326-1.17,2.592-1.816,3.836c-0.248,0.477-0.543,1.334-0.871,1.701v0.039c-0.216-0.296-0.199-1.051-0.314-1.462c-0.353-1.235-0.578-2.591-0.951-3.798c-0.068-0.23-0.305-1.279-0.156-1.503c0.051-0.546,0.822-0.785,1.266-0.95c-0.012-0.092-0.024-0.186-0.039-0.277c-0.701,0.105-1.429,0.479-2.058,0.713c-0.595,0.223-1.14,0.313-1.741,0.516c-0.298,0.102-0.636,0.275-0.986,0.314v0.041h-0.041c0.015,0.112,0.025,0.172,0.078,0.237c0.162,0.107,1.03-0.352,1.386-0.077c0.557,0.19,0.573,1.075,0.752,1.66c0.481,1.579,0.728,3.327,1.187,4.947c0.115,0.404,0.391,1.686,0.119,2.018c-0.148,0.439-0.885,0.615-1.306,0.791c0.014,0.08,0.024,0.159,0.036,0.237c0.609-0.09,1.162-0.373,1.707-0.56c1.063-0.354,2.066-0.65,3.089-1.029c-0.017-0.092-0.027-0.186-0.041-0.275c-0.437,0.116-0.773,0.248-1.386,0.236c-0.08-0.068-0.157-0.133-0.235-0.199c-0.067-0.21-0.134-0.422-0.199-0.632c0.043-0.499,0.683-1.421,0.91-1.86c0.673-1.293,1.262-2.6,1.856-3.955c0.229-0.519,0.754-1.275,0.832-1.857c0.184,0.111,0.133,0.438,0.197,0.672c0.135,0.475,0.211,0.98,0.355,1.503c0.281,1,0.391,2.075,0.673,3.126c0.104,0.387,0.261,1.048,0.08,1.464c-0.179,0.404-0.841,0.673-1.267,0.83c0.017,0.084,0.037,0.183,0.08,0.238c0.004,0.007,0.906-0.288,1.064-0.354c1.104-0.471,2.236-0.959,3.361-1.386c-0.015-0.093-0.024-0.187-0.039-0.274C79.117,57.043,78.477,57.407,78.092,57.168L78.092,57.168z M96.803,60.498c-0.143,0.13-0.354,0.163-0.514,0.277c-0.501,0.359-1.025,0.962-1.385,1.463c-0.288,0.402-0.534,0.843-0.791,1.268c-0.112,0.188-0.137,0.402-0.277,0.553v0.08c0.346-0.059,0.549-0.283,0.792-0.436c0.659-0.408,1.249-0.781,1.858-1.225c0.295-0.217,0.515-0.551,0.83-0.754c0.029-0.473,0.125-0.844-0.077-1.188C97.115,60.512,96.975,60.496,96.803,60.498z M96.329,61.921c-0.239,0.177-0.47,0.423-0.712,0.595c-0.208,0.146-0.458,0.224-0.633,0.396h-0.04c0.13-0.408,0.817-1.107,1.146-1.344c0.17-0.124,0.383-0.157,0.557-0.279h0.156c0.036,0.046,0.034,0.044,0.08,0.08C96.846,61.667,96.523,61.774,96.329,61.921L96.329,61.921z M10.825,63.465c-0.166-0.502-0.278-0.99-0.435-1.465c-0.079-0.246-0.062-0.525-0.199-0.713v-0.118c0.269,0.097,0.679,0.087,0.911,0.238h0.201c-0.045-0.206-0.086-0.552-0.201-0.713c-0.12-0.195-0.886-0.197-1.106-0.354c-0.312-0.244-0.607-0.947-0.832-1.307c-0.56-0.887-1.302-1.832-2.137-2.453c-0.443-0.329-0.751-0.671-1.544-0.673c-0.092,0.065-0.185,0.132-0.276,0.198c-0.178,0.789,0.139,2.248,0.592,2.611v0.078c-0.189-0.051-0.393-0.152-0.514-0.275h-0.04c0.007,0.227,0.051,0.522,0.158,0.672c0.046,0.195,0.362,0.354,0.554,0.396c0.248,1.037,0.592,2.101,0.95,3.05c0.289,0.758,0.436,1.48,0.75,2.213c0.155,0.356,0.522,0.617,0.634,0.99h0.117c-0.089-0.334-0.271-0.646-0.394-0.949c-0.364-0.875-0.653-1.804-0.952-2.688C6.868,61.62,6.734,61.057,6.548,60.5c-0.069-0.21-0.049-0.427-0.158-0.595v-0.039c0.269,0.049,0.43,0.188,0.634,0.276c0.461,0.201,0.903,0.277,1.385,0.476c0.353,0.146,0.796,0.347,1.228,0.396c0.048,0.359,0.253,1.301,0.435,1.545v0.117c-0.602-0.412-0.589-1-1.663-0.91c-0.054,0.063-0.128,0.117-0.197,0.158c-0.098,0.244-0.104,0.646,0,0.909c0.257,0.646,1.072,1.991,1.741,2.179c0.257,0.184,0.634-0.043,0.75-0.24c0.242,0.127,0.293,0.682,0.395,0.951c0.212,0.558,0.522,1.289,1.031,1.543v0.041h0.083c-0.066-0.447-0.318-0.851-0.475-1.229C11.387,65.223,11.113,64.324,10.825,63.465L10.825,63.465z M9.678,60.26C9.26,60.23,8.905,60.067,8.57,59.945c-0.894-0.332-1.703-0.615-2.492-0.991c-0.095-0.358-0.76-1.644-0.396-2.095c0.026-0.04,0.053-0.081,0.079-0.12c0.081-0.019,0.077-0.011,0.119-0.039c1.219,0.146,2.442,1.629,3.046,2.452c0.236,0.32,0.43,0.799,0.752,1.029V60.26L9.678,60.26z M10.311,63.701c-0.12,0.146-0.237,0.291-0.356,0.436c-0.105,0.078-0.223,0.109-0.316,0.198c-0.68-0.021-0.704-0.686-0.989-1.108c0.005-0.389,0.152-0.39,0.315-0.594c0.092-0.007,0.112-0.007,0.158-0.037c0.614,0.004,0.753,0.278,1.109,0.515C10.29,63.344,10.327,63.445,10.311,63.701L10.311,63.701z M33.578,69.794c-0.165-0.271-0.49-0.342-0.713-0.554c-0.069-0.023-0.04-0.007-0.079-0.039c0.51-0.264,1.053-0.555,1.583-0.79c0.142,0.158,0.801,0.792,1.029,0.671c0.04-0.012,0.079-0.023,0.118-0.038c-0.013-0.224-0.025-0.448-0.04-0.673c-0.499-0.498-1.234-0.91-2.059-1.066v0.039h-0.039c0.093,0.273,0.398,0.534,0.636,0.672v0.119c-0.469,0.068-0.885,0.295-1.307,0.437c-0.289,0.093-0.638,0.08-0.873,0.235h-0.117c0.171-0.479,0.737-0.871,1.028-1.267c0.576-0.776,1.033-1.728,1.94-2.176c-0.024-0.365-1.076-1.12-1.464-0.871c-0.097,0.051-0.029-0.021-0.079,0.078c-0.059,0.144,0.137,0.321,0.079,0.554c-0.076,0.305-0.831,1.74-1.029,1.9v0.041c-0.408-0.139-0.718-0.523-1.107-0.713c0.069-0.364,0.375-0.644,0.554-0.91c0.453-0.684,0.816-1.335,1.503-1.782c-0.006-0.526-0.855-1.075-1.425-1.065c0.002,0.242,0.125,0.379,0.08,0.592c-0.14,0.646-0.435,1.297-0.672,1.861c-0.156,0.364-0.226,0.799-0.476,1.065c-0.054,0.03-0.492-0.006-0.594-0.077c-0.149-0.002-0.298,0.005-0.394,0.038v0.079c0.666,0.645,1.387,0.865,2.295,1.268c-0.126,0.655-0.786,1.092-1.108,1.584c-0.166,0-0.3-0.011-0.395-0.08c-0.091,0.017-0.098,0.021-0.158,0.041c0.016,0.582,0.5,1.077,0.987,1.188c0.327-0.366,0.737-0.543,1.228-0.751c0.449,0.468,0.578,1.137,0.751,1.897c0.075,0.332-0.047,0.697,0.04,0.988c0.152,0.514,0.426,0.667,0.672,1.027h0.277c0.174-0.93-0.253-1.832-0.475-2.571C33.71,70.43,33.644,70.111,33.578,69.794L33.578,69.794z M96.09,63.108c-0.238,0.202-0.57,0.296-0.83,0.475c-0.4,0.282-0.758,0.659-1.146,0.95c-0.177,0.134-0.435,0.253-0.556,0.436c-0.199,0.299-0.16,0.806-0.396,1.067v0.157c0.314-0.114,0.464-0.483,0.713-0.672c0.307-0.23,0.563-0.536,0.87-0.754c0.192-0.133,0.411-0.207,0.594-0.355c0.125,0.023,0.115,0.037,0.199,0.081c-0.021,1.005-0.549,1.714-0.871,2.454c-0.093,0.215-0.121,0.551-0.276,0.71c-0.074,0.076-0.229,0.094-0.314,0.157c-0.264,0.291-0.528,0.58-0.794,0.873c-0.25,0.344-0.365,0.803-0.632,1.146c-0.002,0.114-0.002,0.216,0.037,0.276c0.041,0.031,0.11,0.059,0.16,0.08c0.51-0.483,1.004-0.887,1.424-1.465c0.658-0.904,0.986-2.047,1.465-3.125c0.3-0.683,0.734-1.354,0.711-2.334c-0.047-0.045-0.084-0.102-0.117-0.158L96.09,63.108L96.09,63.108z M93.32,69.361V69.4h-0.04c0.069-0.475,0.43-0.606,0.596-0.952h0.079C93.904,68.842,93.605,69.194,93.32,69.361L93.32,69.361z M34.171,69.993c-0.08,0.342,0.76,1.106,1.027,1.308c0.133,0.1,0.312,0.328,0.515,0.235c0.104-0.008,0.136-0.019,0.199-0.04c0.046-0.105,0.115-0.24,0.039-0.354C35.93,70.645,34.64,70.088,34.171,69.993z M37.97,73.037c0.067,0.034,0.122,0.021,0.198-0.039c0.139-0.113,0.063-0.313,0.159-0.475c0.222-0.159,0.615-0.118,0.911-0.199c0.809-0.213,1.753-0.198,2.65-0.396c0.425-0.093,1.128,0.16,1.464-0.037c0.04-0.016,0.081-0.026,0.118-0.043c-0.019-0.517-1.009-0.737-1.545-0.588c-0.237,0.066-0.513,0.213-0.751,0.275c-0.185,0.014-0.37,0.027-0.555,0.038c-0.062-0.644-0.38-1.144-0.395-1.817c0.595-0.013,1.341-0.091,1.739-0.316c-0.008-0.2-0.045-0.2-0.118-0.314c-0.453-0.107-1.23-0.126-1.583,0.116c-0.1-0.004-0.147-0.004-0.197-0.039c-0.221-0.28-0.116-0.851-0.316-1.146v-0.158c0.426-0.092,1.122-0.168,1.345-0.475c0.031-0.041,0.014-0.011,0.039-0.078c-0.036-0.035-0.051-0.068-0.079-0.119c-0.619-0.156-0.887-0.049-1.423,0.158c-0.167-0.535,0.034-0.959-0.514-1.108c0.117-0.203,0.506-0.194,0.751-0.276c0.382-0.126,0.817-0.296,1.148-0.474c0.026-0.068,0.007-0.04,0.04-0.08c-0.022-0.2-0.078-0.193-0.159-0.316c-0.571-0.044-1.027,0.011-1.346,0.316h-0.076c0.047-0.295,0.231-0.718,0.394-0.949c0.112-0.162,0.318-0.14,0.396-0.356h0.04V64.1c-0.081-0.104-0.159-0.211-0.238-0.314c-0.186-0.13-0.454-0.143-0.632-0.279c-0.263-0.004-0.515-0.003-0.672,0.079c0.021,0.152,0.089,0.248,0.119,0.356c0.109,0.408-0.284,1.669-0.436,1.859c-0.123,0.154-1.551,0.672-1.939,0.555c-0.092-0.029-0.36-0.164-0.435-0.239c-0.032-0.039-0.015-0.008-0.04-0.077c0.561-0.527,0.965-1.702,1.741-1.939c0.014-0.064,0.027-0.131,0.041-0.196c-0.194-0.2-1.135-1.188-1.622-0.871c-0.04,0.014-0.079,0.022-0.117,0.038c0,0.338,0.168,0.593,0.078,0.949c-0.182,0.711-0.587,1.556-0.95,2.139c-0.218,0.35-0.693,0.729-0.712,1.229c0.646-0.064,0.802-0.731,1.304-0.912c0.146,0.135,0.29,0.267,0.436,0.396c0.207,0.311,0.168,0.778,0.276,1.186c0.185,0.856,0.371,1.715,0.554,2.571c0.025,0.425,0.052,0.845,0.08,1.269C37.246,72.28,37.561,72.945,37.97,73.037L37.97,73.037z M39.233,70.032c0.031,0.368,0.258,1.407,0.436,1.662c0.001,0.024,0.001,0.054,0.001,0.08c-0.477,0.102-0.973,0.239-1.504,0.237c-0.082-0.564-0.352-1.061-0.355-1.662C38.418,70.338,38.731,70.094,39.233,70.032z M36.939,66.75c0.063-0.107,1.113-0.273,1.228-0.199c0.42,0.195,0.27,0.813,0.514,1.188c-0.083,0.194-1.047,0.487-1.345,0.514C37.283,67.834,37.213,66.977,36.939,66.75L36.939,66.75z M38.76,68.253h0.04c0.076,0.36,0.119,0.978,0.317,1.267c-0.142,0.348-1.016,0.317-1.346,0.516c-0.138-0.083-0.32-1.076-0.316-1.346C37.757,68.662,38.541,68.402,38.76,68.253L38.76,68.253z M31.914,70.506c-0.06,0.135-0.053,0.354-0.117,0.514c-0.342,0.84-0.454,1.015,0.079,1.82c0.237,0,0.269-0.037,0.396-0.119C32.429,72.064,32.454,70.814,31.914,70.506L31.914,70.506z M77.023,70.744c-1.154-0.285-2.125,0.285-3.325,0.199c-0.114-0.121-0.2-0.19-0.275-0.356c-0.835,0.024-1.757,1.886-0.909,2.453c0.453,0.308,1.744,0.129,2.295,0c0.306-0.071,0.783-0.139,1.027,0.038c0.332,0.247,0.273,1.182,0.157,1.703c-0.132,0.975-0.265,1.951-0.396,2.929c-0.117,0.593-0.236,1.185-0.356,1.779c0.606-0.003,1.178-0.623,1.349-1.069c0.1-0.258,0.047-0.502,0.119-0.791c0.209-0.83,0.237-1.82,0.436-2.689c0.127-0.563,0.041-1.1,0.156-1.621c0.086-0.393,0.143-1.696,0.041-2.059C77.281,71.059,77.126,70.901,77.023,70.744z M22.857,82.695c-0.135-0.102-0.229-0.283-0.356-0.395c-0.473-0.42-1.029-0.826-1.543-1.188c-0.426-0.298-1.008-0.476-1.387-0.829c-0.01-0.086,0.123-0.296,0.041-0.516c-0.335-0.896-1.589-1.933-2.374-2.412c-0.363-0.225-0.972-0.328-1.305-0.555c-0.246-0.017-0.374-0.025-0.435,0.155c-0.097,0.218,0.209,0.521,0.315,0.675c0.271,0.381,0.581,0.826,0.95,1.104c0.276,0.209,0.591,0.392,0.83,0.635h0.119c-0.154-0.426-0.609-0.657-0.949-0.909c-0.311-0.229-0.449-0.632-0.712-0.909c0.021-0.125,0.035-0.115,0.08-0.199c1.093,0.009,1.802,1.012,2.294,1.662c0.22,0.291,0.571,0.461,0.594,0.951c-0.116,0-0.216,0-0.276-0.041h-0.119c0.188,0.522,0.824,0.479,1.267,0.754c0.888,0.549,1.603,1.409,2.373,2.094c0.262,0.234,0.719,0.466,0.791,0.873c-0.537-0.028-0.917-0.327-1.261-0.555c-0.614-0.4-1.597-1.1-2.019-1.662c-0.08-0.104-0.106-0.263-0.199-0.355c-0.109-0.111-0.261-0.145-0.355-0.275h-0.158c-0.039,0.41,0.407,0.705,0.671,0.948c0.819,0.75,1.696,1.442,2.73,1.979c0.373,0.191,1.053,0.521,1.465,0.275C23.874,83.434,23.227,82.975,22.857,82.695L22.857,82.695z M47.226,85.307c-2.014-1.379-4.985-2.775-8.427-2.689c-0.167,0.104-0.503,0.021-0.711,0.078c-0.288,0.076-0.464,0.223-0.672,0.355c-0.008,0.971,1.446,1.496,2.255,1.698c0.483,0.123,0.909-0.104,1.188-0.198c0.215-0.82-0.776-0.94-1.227-1.347h-0.081v-0.038c3.036-0.119,5.308,0.729,7.043,2.02c0.433,0.322,0.93,0.783,1.148,1.306c0.081,0.194,0.116,0.515,0,0.674c-0.159,0.44-0.685,0.401-1.188,0.515c-1.162,0.267-2.755-0.391-3.285-0.91c-0.108,0.189,0.049,0.48-0.118,0.674c-0.176,0.478-0.788,0.354-1.346,0.474c-0.917,0.199-2.353-0.271-2.888-0.632c-0.149-0.104-0.257-0.286-0.396-0.396c-0.007-0.103-0.018-0.136-0.041-0.199c0.081-0.073,0.177-0.187,0.237-0.275c1.139-0.085,1.718-0.027,2.376,0.596c-0.017,0.078-0.01,0.073-0.041,0.114c-0.074,0.152-0.245,0.17-0.474,0.161v0.074c0.417,0.004,0.593-0.059,0.83-0.197c0.013-0.079,0.027-0.159,0.04-0.236c-0.136-0.141-0.231-0.328-0.396-0.438c-0.65-0.426-1.991-0.641-2.729-0.156c-0.116,0.561,0.232,0.864,0.554,1.105c0.646,0.488,1.191,0.771,2.098,1.029c0.291,0.082,0.55,0.008,0.871,0.076c0.28,0.064,0.765,0.079,1.068,0c0.504-0.128,1.205-0.658,0.632-1.268v-0.037c0.299,0.109,0.544,0.402,0.831,0.556c0.761,0.397,2.021,0.726,3.167,0.476c0.562-0.125,1.143-0.125,1.303-0.635c0.179-0.277-0.068-0.668-0.156-0.826C48.322,86.151,47.836,85.721,47.226,85.307L47.226,85.307z M39.906,83.485c0.14,0.094,0.22,0.291,0.356,0.396c-0.003,0.1-0.004,0.148-0.04,0.199c-0.257,0.697-1.706,0.182-2.058-0.081c-0.11-0.08-0.153-0.248-0.236-0.354c0.015-0.082,0.01-0.076,0.041-0.116c0.108-0.306,0.417-0.203,0.671-0.354C39.142,83.174,39.596,83.274,39.906,83.485z M76.625,83.881h-0.396c-0.262,0.209-0.692,0.236-0.991,0.396c-0.263,0.141-0.581,0.332-0.829,0.515c-0.207,0.148-0.326,0.418-0.516,0.592c0.004,0.197,0.008,0.229,0.16,0.277c0.039,0.029,0.01,0.018,0.075,0.04c0.042-0.047,0.08-0.063,0.12-0.12c0.033-0.023-0.027-0.104-0.04-0.232c0.384-0.386,0.667-0.598,1.228-0.832c0.144-0.059,0.447-0.233,0.634-0.119h0.079c-0.026,0.391-0.916,1.591-1.188,1.781v0.115c0.729-0.188,1.215-1.643,1.702-2.174c-0.013-0.09-0.01-0.111-0.04-0.157L76.625,83.881L76.625,83.881z M73.459,86.809c-0.234,0.209-0.807,0.229-1.066,0.435h-0.041c0.104-0.149,0.291-0.213,0.396-0.354c0.076-0.104,0.107-0.226,0.197-0.315c-0.018-0.081-0.01-0.075-0.039-0.117v-0.08c-1.155-0.212-3.084,0.784-3.68,1.308c-0.155,0.135-0.248,0.336-0.396,0.477c0.003,0.111,0.016,0.168,0.039,0.236c0.701,0.047,2.016-0.383,2.174-0.949c0.031-0.025,0.012-0.002,0-0.04v-0.079c-0.479-0.027-1.124,0.075-1.422,0.355h-0.039c0.26-0.396,1.223-0.746,1.739-0.91c0.172-0.053,0.55-0.149,0.714-0.039c0.037,0.015,0.077,0.025,0.117,0.039c-0.094,0.396-0.657,0.838-1.029,0.949v0.08c0.607-0.141,1.163-0.416,1.7-0.634c0.368-0.149,0.786-0.188,1.108-0.396c0.229-0.149,1.008-1.207,1.068-1.504C74.086,85.409,74.012,86.313,73.459,86.809L73.459,86.809z M70.333,87.6v0.119c-0.075,0.049-0.129,0.156-0.198,0.196c-0.205,0.12-0.479,0.106-0.674,0.238c-0.09-0.011-0.109-0.009-0.156-0.041h-0.039C69.373,87.775,70.025,87.621,70.333,87.6L70.333,87.6z M53.835,91.317c0.015-0.037,0.025-0.078,0.039-0.117c-0.976-0.04-1.953-0.079-2.927-0.119c-0.123,0.082-0.312,0.035-0.475,0.079c-0.202,0.059-0.426,0.15-0.593,0.239c0.026,0.067,0.008,0.038,0.04,0.077c0.238,0.188,1.624,0.199,1.9,0h0.078v-0.077c-0.419-0.134-1.183,0.2-1.503,0h-0.041v-0.041c1.052-0.073,2.23-0.044,3.325-0.04c-0.105,0.072-0.328,0.051-0.436,0.119c-0.039,0.014-0.078,0.027-0.117,0.039v0.08c0.238,0.037,0.475,0.078,0.711,0.117c0.037,0.041-0.004,0.004,0.039,0.037c-0.35,0.233-1.254,0.139-1.581-0.037v-0.08c-0.178-0.082-0.991,0.084-1.148,0.117c-0.133,0.03-0.27-0.014-0.357,0.039c-0.165,0.01-0.181,0.029-0.276,0.079c0.022,0.128,0.035,0.115,0.08,0.198c0.255,0.06,0.696,0.064,0.987,0.156v-0.039h0.04v-0.039c-0.148-0.057-0.559-0.025-0.713-0.115h-0.079c0.132-0.104,1.425-0.278,1.663-0.119c0.067,0.023,0.039,0.007,0.079,0.039c-0.211,0.038-0.424,0.08-0.634,0.117c0.025,0.066,0.009,0.039,0.04,0.078c0.065,0.045,0.193,0.045,0.316,0.039c-0.04,0.074-0.054,0.109-0.119,0.158c0.013,0.023,0.027,0.051,0.04,0.078c0.561,0,1.031-0.057,1.502-0.156c0.28-0.062,0.624,0.052,0.831-0.08h0.317v-0.078c-0.539-0.002-1.885-0.055-2.215,0.158h-0.117c0.033-0.043-0.004-0.004,0.038-0.041c0.155-0.18,0.471-0.09,0.75-0.156c0.44-0.104,1.168-0.284,1.544,0c0.105,0.064,0.04-0.008,0.039,0.117c0.107-0.002,0.181-0.002,0.236-0.036h0.277v-0.081c-0.359-0.088-0.889-0.251-1.188-0.434C54.057,91.488,54.135,91.344,53.835,91.317L53.835,91.317z M13.635,18.359c-0.088,0.32-0.274,0.593-0.395,0.87c-0.268,0.613-0.507,1.225-0.751,1.822c-0.207,0.496-0.335,1.295-0.633,1.699v0.079c0.416-0.074,0.698-0.493,0.949-0.751c0.617-0.634,1.92-2.22,1.9-3.402c-0.062-0.061-0.119-0.162-0.159-0.237C14.3,18.38,13.982,18.353,13.635,18.359z M13.794,20.022c-0.181,0.298-0.281,0.592-0.476,0.871c-0.178,0.255-0.46,0.452-0.633,0.713h-0.041c0.051-0.302,0.214-0.546,0.319-0.792c0.235-0.561,0.396-1.118,0.671-1.621c0.152,0.003,0.268,0.015,0.356,0.078c0.095,0.052,0.028-0.018,0.079,0.08C14.15,19.548,13.89,19.862,13.794,20.022L13.794,20.022z M84.023,7.875c-0.414-0.416-0.729-0.938-1.147-1.346V6.49c-0.205,0.073-0.899,0.688-1.028,0.871c-0.25-0.095-0.391-0.365-0.594-0.514c-0.676-0.508-1.313-1.167-2.49-1.147c-0.148,0.115-0.367,0.118-0.556,0.197c-0.53,0.23-1.083,0.688-1.305,1.227c-0.249,0.602,0.004,1.491,0.196,1.939c0.392,0.904,1.03,1.667,1.582,2.414c0.457,0.615,0.973,1.252,1.819,1.464c0.956,0.238,1.422-0.884,1.781-1.308c0.37-0.435,1.182-0.539,1.464-1.107c0.104-0.207,0.034-0.615-0.039-0.791c-0.18-0.426-1.066-1.622-1.425-1.859c0.024-0.239,0.135-0.247,0.235-0.396c0.248,0.121,0.338,0.471,0.516,0.673c0.227,0.258,0.546,0.396,0.791,0.632c0.378,0.003,0.604-0.094,0.79-0.277h0.041C84.561,8.243,84.212,8.06,84.023,7.875L84.023,7.875z M81.77,12.148c-0.699,0.165-1.047-0.293-1.424-0.673c-0.938-0.935-1.57-2.093-2.298-3.244c-0.247-0.396-0.885-1.134-0.554-1.702h0.156c0.199,0.299,0.539,0.507,0.754,0.792c0.591,0.784,1.313,1.469,1.898,2.255c0.359,0.485,0.758,0.94,1.106,1.424c0.178,0.249,0.315,0.565,0.556,0.751C81.924,11.931,81.848,12.015,81.77,12.148L81.77,12.148z M82.361,9.339c0.32,0.439,0.755,0.688,0.751,1.463c-0.122,0.116-0.157,0.224-0.356,0.276c-0.039,0.032-0.011,0.015-0.078,0.041c-0.56-0.932-1.367-1.711-2.017-2.573c-0.212-0.282-0.541-0.511-0.752-0.791c-0.362-0.48-0.793-0.864-1.188-1.305c-0.113-0.131-0.168-0.257-0.313-0.357c0.033-0.086,0.031-0.057,0.076-0.118c0.672,0.006,0.994,0.458,1.386,0.753C80.837,7.453,81.648,8.354,82.361,9.339L82.361,9.339z"/><radialGradient id="SVGID_43_" cx="251.8086" cy="-408.3613" r="72.7509" gradientTransform="matrix(1 0 0 -1 -213.7637 -386.502)" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#000" stop-opacity="0"/><stop offset=".8022" stop-color="#000" stop-opacity=".08"/><stop offset="1" stop-color="#000" stop-opacity=".3882"/></radialGradient><path style="opacity:.38;fill:url(#SVGID_43_);" d="M49.885,17.037c0.014-0.606-0.392-1.27-0.392-1.27l-0.025-0.058c0,0-0.487-0.949-1.302-1.228c-0.815-0.278-1.478,0.342-1.478,0.342s-0.114,0.131-0.429,0.494c-0.313,0.364-0.507,0.666-1.198,0.938c-0.692,0.271-1.379,0.204-1.743,0.033c-0.364-0.172-0.457-0.537-0.457-0.537s-0.229-0.722-0.313-1.049c-0.086-0.331-0.309-1.694-0.309-1.694s-0.491-2.747-0.534-3.304c0,0,1.475-0.126,3.687-0.775c2.299-0.673,3.043-1.206,3.043-1.206s-0.432-0.156-0.484-0.662c-0.051-0.507-0.089-1.19-0.089-1.19s-0.089-0.5,0.483-1.139c0.571-0.64,1.354-0.863,1.762-0.953c0.41-0.089,1.281-0.17,2.093-0.134c0.812,0.038,1.267,0.112,1.593,0.291c0.328,0.178,0.357,0.61,0.357,0.61l-0.008,1.146c0,0-0.037,0.402,0.261,0.529c0,0,0.505,0.305,2.196,0.133c0,0,0.72-0.126,1.846-0.46c1.125-0.335,4.129-1.229,4.554-1.341c0.425-0.111,0.953-0.291,1.646-0.469c0.691-0.179,2.039-0.626,2.308-0.73c0.271-0.104,1.812-0.618,2.927-0.81c1.115-0.195,2.227-0.186,2.813,0.149c0,0,0.357,0.304,0.521,0.662c0.163,0.358,0.478,0.863,0.923,1.088c0.454,0.227,0.752,0.371,1.875,0.273c0,0,0.022-0.096-0.395-0.37c-0.417-0.277-0.991-0.701-0.991-0.701S74.29,3.4,74.215,3.198c-0.072-0.202-0.043-0.306-0.043-0.306l0.877-1.406c0,0,0-0.172,0.508-0.238c0.506-0.067,1.071-0.134,1.74-0.313c0.67-0.178,0.788-0.312,0.788-0.312l0.58,0.178c0,0,3.546,2.853,4.655,3.583l0.199-0.239c0,0,0.436,0.018,0.826,0.172c0.394,0.154,0.979,0.562,0.979,0.562s1.612,1.31,2.071,2.2l0.223,0.679l-0.102,0.161c0,0,0.918,1.307,2.096,2.602c0,0,1.227,1.664,1.689,2.09c0,0-0.108-0.399-0.201-0.849l0.336-0.226l0.203-0.144l0.617,0.259c3.573,4.811,6.432,10.424,8.141,16.328l-0.12,0.484l0.395,0.501c1.128,4.212,1.728,8.643,1.728,13.211c0,1.122-0.036,2.236-0.107,3.339l-0.304,0.511l0.225,0.555c-2.231,26.1-24.124,46.584-50.801,46.584c-18.502,0-34.702-9.854-43.637-24.6L7.674,68.2l-0.205-0.153c-3.387-5.742-5.682-12.205-6.595-19.103l0.212-0.525L0.75,47.936c-0.213-1.892-0.322-3.812-0.322-5.756c0-2.985,0.255-5.909,0.748-8.755l0.25-0.562l-0.087-0.328c1.157-6.048,3.383-11.716,6.474-16.799l0.684-0.384l0.081,0.032c0,0,0.233-0.169,0.354-0.217l0.076-0.023c0,0,1.179-1.971,1.625-2.601c0,0,0.542-0.348,0.745-0.407c0,0,0.124-0.016,0.189,0.076c0,0,0.496-0.432,1.699-2.054c0.004-0.005,0.007-0.011,0.012-0.017c0,0-0.114-0.076-0.131-0.174c-0.018-0.097,0.108-0.591,0.173-0.717c0.065-0.126,0.108-0.156,0.108-0.156s1.722-2.032,3.151-3.238c0,0,0.26-0.202,0.678-0.25c0,0,1.472-0.613,3.264-2.184c0,0,0.051-0.289,0.478-0.858c0.428-0.57,1.456-1.163,2.222-1.337c0.764-0.174,0.896-0.038,0.896-0.038l0.064,0.065l0.515,0.766c0,0,0.565-0.316,1.413-0.604c0.847-0.289,0.979-0.262,0.979-0.262l0.825,1.336l-0.987,2c0,0-0.644,1.421-1.655,2.185c0,0-0.472,0.284-1.12,0.127c-0.648-0.157-1.072,0.333-1.072,0.333l-0.17,0.14c0,0,0.14-0.024,0.346-0.103c0,0,0.158,0.065,0.274,0.223c0.114,0.158,0.913,1.175,0.913,1.175s0.005,0.837-0.415,1.938c-0.419,1.1-1.467,2.891-1.467,2.891s-0.733,1.424-1.075,2.253c-0.342,0.829-0.515,1.765-0.488,2.262c0,0,0.187,0.062,0.707-0.202c0.655-0.332,1.083,0.027,1.083,0.027s0.719,0.53,1.041,0.881c0.262,0.289,0.802,1.765,0.209,3.224c0,0-0.402,1.008-1.377,1.724c0,0-0.216,0.332-1.529,0.174c-0.368-0.043-0.585-0.276-1.372-0.2c-0.785,0.077-1.231,0.815-1.231,0.815l0.013-0.024c-0.692,0.999-1.154,2.458-1.154,2.458l-0.057,0.165c0,0-0.241,0.509-0.292,1.752c-0.053,1.284,0.284,3.109,0.284,3.109s7.876-1.387,9.88-0.055l0.58,0.532c0,0,0.046,0.174-0.031,0.376c-0.08,0.204-0.375,0.673-0.987,1.113c-0.611,0.438-1.222,1.583-0.313,2.304c1.034,0.818,1.691,0.766,3.43,0.468c1.74-0.297,2.898-1.269,2.898-1.269s0.972-0.72,0.783-1.628c-0.188-0.908-1.017-1.189-1.017-1.189s-0.658-0.423-0.141-1.238c0,0,0.141-0.689,2.553-1.316c2.414-0.626,6.812-1.52,10.556-1.989c0,0-2.539-8.223-0.737-9.289c0,0,0.438-0.296,1.224-0.408l0.721-0.037c0.131-0.027,0.344,0.005,0.796,0.045c0.452,0.038,1.001,0.076,1.678-0.441c0.676-0.519,0.697-0.819,0.697-0.819"/></svg>"></image></symbol>
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="606.1778768483474" height="537.4177491506939" fill="#ffffff"></rect><g transform="translate(12.7872206485074 310.01498476282444) rotate(0 23 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">User</text></g><g stroke-linecap="round"><g transform="translate(10 300.3620587528457) rotate(0 25.819645202628976 -21.795699329337083)" fill-rule="evenodd"><path d="M13.47 -38.64 C13.47 -38.64, 13.47 -38.64, 13.47 -38.64 M13.47 -38.64 C13.47 -38.64, 13.47 -38.64, 13.47 -38.64 M7.04 -19.05 C14.46 -27.58, 21.87 -36.11, 26.72 -41.69 M7.04 -19.05 C14.33 -27.44, 21.63 -35.83, 26.72 -41.69 M0.61 0.53 C8.82 -8.9, 17.02 -18.34, 35.39 -39.47 M0.61 0.53 C8.46 -8.49, 16.31 -17.52, 35.39 -39.47 M11.24 0.5 C19.7 -9.23, 28.16 -18.95, 40.77 -33.46 M11.24 0.5 C17.6 -6.81, 23.95 -14.12, 40.77 -33.46 M21.87 0.47 C28.5 -7.15, 35.12 -14.77, 46.81 -28.21 M21.87 0.47 C31.83 -10.99, 41.79 -22.44, 46.81 -28.21 M29.22 4.2 C35.37 -2.87, 41.52 -9.94, 50.87 -20.7 M29.22 4.2 C37.7 -5.55, 46.18 -15.3, 50.87 -20.7 M41.82 1.91 C45.06 -1.82, 48.3 -5.55, 54.94 -13.19 M41.82 1.91 C46.9 -3.94, 51.98 -9.78, 54.94 -13.19 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M12.04 -0.13 C9.58 -2.27, 7.13 -4.4, 1.47 -9.32 M12.04 -0.13 C8.37 -3.33, 4.69 -6.52, 1.47 -9.32 M24.84 0.39 C19.65 -4.12, 14.47 -8.62, 2.95 -18.64 M24.84 0.39 C19.03 -4.66, 13.22 -9.71, 2.95 -18.64 M30.08 -5.65 C23.25 -11.59, 16.41 -17.54, 6.69 -25.99 M30.08 -5.65 C24.29 -10.68, 18.5 -15.72, 6.69 -25.99 M45.9 -2.5 C34.79 -12.16, 23.68 -21.82, 9.67 -33.99 M45.9 -2.5 C34.28 -12.6, 22.66 -22.7, 9.67 -33.99 M52.66 -7.23 C44.6 -14.23, 36.55 -21.23, 14.92 -40.03 M52.66 -7.23 C39.04 -19.07, 25.42 -30.91, 14.92 -40.03 M51.11 -19.17 C42.23 -26.89, 33.35 -34.61, 20.92 -45.41 M51.11 -19.17 C44.37 -25.03, 37.63 -30.89, 20.92 -45.41" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M0 0 C0.92 -4.85, 1.58 -21.76, 5.52 -29.07 C9.46 -36.38, 17.61 -43.34, 23.65 -43.87 C29.69 -44.4, 37.51 -39.05, 41.78 -32.24 C46.05 -25.43, 56.23 -8.39, 49.27 -3.02 C42.31 2.36, 8.21 -0.5, 0 0 M0 0 C0.92 -4.85, 1.58 -21.76, 5.52 -29.07 C9.46 -36.38, 17.61 -43.34, 23.65 -43.87 C29.69 -44.4, 37.51 -39.05, 41.78 -32.24 C46.05 -25.43, 56.23 -8.39, 49.27 -3.02 C42.31 2.36, 8.21 -0.5, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(22.453870836315673 233.6710109669893) rotate(0 12.6129717038432 11.036350240862816)"><path d="M2.98 3.91 C2.98 3.91, 2.98 3.91, 2.98 3.91 M2.98 3.91 C2.98 3.91, 2.98 3.91, 2.98 3.91 M2.45 16.71 C5.96 12.67, 9.47 8.64, 16.23 0.86 M2.45 16.71 C7.62 10.77, 12.78 4.82, 16.23 0.86 M8.49 21.96 C13.66 16.02, 18.82 10.07, 23.58 4.6 M8.49 21.96 C11.77 18.18, 15.05 14.41, 23.58 4.6 M4.36 19.37 C4.36 19.37, 4.36 19.37, 4.36 19.37 M4.36 19.37 C4.36 19.37, 4.36 19.37, 4.36 19.37 M17.91 20.55 C12.37 15.72, 6.82 10.9, 1.31 6.11 M17.91 20.55 C13.34 16.57, 8.77 12.6, 1.31 6.11 M24.67 15.82 C20.32 12.03, 15.96 8.25, 7.31 0.73 M24.67 15.82 C18.54 10.49, 12.41 5.16, 7.31 0.73" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M25.23 11.04 C25.23 11.68, 25.16 12.32, 25.03 12.95 C24.91 13.58, 24.71 14.21, 24.47 14.81 C24.22 15.41, 23.9 16, 23.54 16.55 C23.17 17.11, 22.74 17.64, 22.28 18.13 C21.81 18.62, 21.28 19.08, 20.72 19.49 C20.16 19.9, 19.55 20.27, 18.92 20.59 C18.29 20.91, 17.61 21.19, 16.93 21.41 C16.24 21.63, 15.52 21.79, 14.8 21.91 C14.08 22.02, 13.34 22.07, 12.61 22.07 C11.88 22.07, 11.14 22.02, 10.42 21.91 C9.7 21.79, 8.99 21.63, 8.3 21.41 C7.61 21.19, 6.94 20.91, 6.31 20.59 C5.67 20.27, 5.06 19.9, 4.51 19.49 C3.95 19.08, 3.42 18.62, 2.95 18.13 C2.48 17.64, 2.05 17.11, 1.69 16.55 C1.32 16, 1.01 15.41, 0.76 14.81 C0.51 14.21, 0.32 13.58, 0.19 12.95 C0.06 12.32, 0 11.68, 0 11.04 C0 10.4, 0.06 9.75, 0.19 9.12 C0.32 8.49, 0.51 7.86, 0.76 7.26 C1.01 6.66, 1.32 6.07, 1.69 5.52 C2.05 4.96, 2.48 4.43, 2.95 3.94 C3.42 3.45, 3.95 2.99, 4.51 2.58 C5.06 2.17, 5.67 1.8, 6.31 1.48 C6.94 1.16, 7.61 0.88, 8.3 0.67 C8.99 0.45, 9.7 0.28, 10.42 0.17 C11.14 0.06, 11.88 0, 12.61 0 C13.34 0, 14.08 0.06, 14.8 0.17 C15.52 0.28, 16.24 0.45, 16.93 0.67 C17.61 0.88, 18.29 1.16, 18.92 1.48 C19.55 1.8, 20.16 2.17, 20.72 2.58 C21.28 2.99, 21.81 3.45, 22.28 3.94 C22.74 4.43, 23.17 4.96, 23.54 5.52 C23.9 6.07, 24.22 6.66, 24.47 7.26 C24.71 7.86, 24.91 8.49, 25.03 9.12 C25.16 9.75, 25.19 10.72, 25.23 11.04 C25.26 11.36, 25.26 10.72, 25.23 11.04" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round" transform="translate(324.82106788272387 224.99215078512685) rotate(0 26.171847409191486 48.85411516382396)"><path d="M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M0.13 12.04 C4 7.6, 7.86 3.15, 10.63 -0.03 M0.13 12.04 C3.66 7.98, 7.19 3.92, 10.63 -0.03 M0.27 24.08 C7.97 15.22, 15.67 6.36, 21.26 -0.07 M0.27 24.08 C8.66 14.42, 17.06 4.76, 21.26 -0.07 M-0.26 36.88 C11.99 22.79, 24.23 8.71, 31.89 -0.1 M-0.26 36.88 C8.07 27.29, 16.41 17.71, 31.89 -0.1 M-0.12 48.92 C11.16 35.94, 22.44 22.97, 42.52 -0.14 M-0.12 48.92 C13.79 32.91, 27.7 16.91, 42.52 -0.14 M0.01 60.96 C14.84 43.9, 29.67 26.84, 52.49 0.58 M0.01 60.96 C13.26 45.71, 26.52 30.47, 52.49 0.58 M0.14 73 C17.86 52.62, 35.58 32.23, 52.63 12.62 M0.14 73 C13.24 57.94, 26.33 42.88, 52.63 12.62 M0.28 85.04 C15.93 67.03, 31.59 49.02, 52.76 24.66 M0.28 85.04 C16.6 66.26, 32.93 47.47, 52.76 24.66 M-0.25 97.84 C11.85 83.92, 23.95 70, 52.89 36.7 M-0.25 97.84 C17.58 77.32, 35.42 56.81, 52.89 36.7 M5.79 103.08 C20.48 86.19, 35.16 69.3, 53.03 48.75 M5.79 103.08 C22.18 84.23, 38.57 65.37, 53.03 48.75 M16.42 103.05 C26.66 91.27, 36.91 79.48, 52.5 61.54 M16.42 103.05 C24.28 94.01, 32.13 84.98, 52.5 61.54 M27.05 103.02 C36.29 92.39, 45.52 81.76, 52.64 73.58 M27.05 103.02 C34.46 94.49, 41.87 85.97, 52.64 73.58 M37.68 102.98 C41.66 98.41, 45.63 93.84, 52.77 85.62 M37.68 102.98 C42.15 97.84, 46.62 92.7, 52.77 85.62 M-0.08 97.64 C-0.08 97.64, -0.08 97.64, -0.08 97.64 M-0.08 97.64 C-0.08 97.64, -0.08 97.64, -0.08 97.64 M11.96 97.51 C9.17 95.08, 6.39 92.66, -0.11 87.01 M11.96 97.51 C9.08 95, 6.2 92.5, -0.11 87.01 M24.76 98.03 C16.66 90.99, 8.56 83.95, -0.15 76.38 M24.76 98.03 C17.35 91.59, 9.95 85.16, -0.15 76.38 M36.8 97.9 C27.21 89.56, 17.62 81.22, -0.18 65.75 M36.8 97.9 C26.44 88.9, 16.09 79.89, -0.18 65.75 M48.84 97.76 C38.54 88.81, 28.25 79.86, -0.22 55.12 M48.84 97.76 C38.68 88.93, 28.52 80.1, -0.22 55.12 M56.35 93.7 C37.73 77.5, 19.1 61.31, -0.25 44.49 M56.35 93.7 C38.13 77.86, 19.91 62.02, -0.25 44.49 M56.32 83.06 C40.88 69.65, 25.45 56.23, -0.28 33.86 M56.32 83.06 C38.63 67.69, 20.94 52.31, -0.28 33.86 M56.28 72.43 C43.36 61.2, 30.44 49.96, -0.32 23.23 M56.28 72.43 C43.06 60.94, 29.84 49.45, -0.32 23.23 M56.25 61.8 C42.47 49.83, 28.69 37.85, -0.35 12.6 M56.25 61.8 C37.65 45.64, 19.05 29.47, -0.35 12.6 M56.22 51.17 C42.07 38.88, 27.92 26.58, 0.37 2.63 M56.22 51.17 C36.59 34.12, 16.97 17.06, 0.37 2.63 M56.18 40.54 C45.27 31.06, 34.35 21.57, 4.11 -4.72 M56.18 40.54 C35.98 22.99, 15.78 5.43, 4.11 -4.72 M56.15 29.91 C43.83 19.21, 31.51 8.5, 16.15 -4.86 M56.15 29.91 C41 16.75, 25.86 3.59, 16.15 -4.86 M56.11 19.28 C47.27 11.6, 38.43 3.92, 28.19 -4.99 M56.11 19.28 C46.62 11.03, 37.13 2.78, 28.19 -4.99 M56.08 8.65 C53 5.98, 49.92 3.3, 40.98 -4.47 M56.08 8.65 C51.76 4.9, 47.44 1.15, 40.98 -4.47" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M0 0 C12.05 0, 24.1 0, 52.34 0 M0 0 C13.1 0, 26.2 0, 52.34 0 M52.34 0 C52.34 38.93, 52.34 77.87, 52.34 97.71 M52.34 0 C52.34 30.04, 52.34 60.08, 52.34 97.71 M52.34 97.71 C38.12 97.71, 23.9 97.71, 0 97.71 M52.34 97.71 C41.35 97.71, 30.36 97.71, 0 97.71 M0 97.71 C0 60.86, 0 24.02, 0 0 M0 97.71 C0 67.83, 0 37.96, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(331.11966273530396 235.80117197707187) rotate(0 20.065083013713377 1.7053025658242404e-13)"><path d="M0 0 C6.69 0, 33.44 0, 40.13 0 M0 0 C6.69 0, 33.44 0, 40.13 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(330.9278322782012 244.79535461824963) rotate(0 20.065083013713377 1.7053025658242404e-13)"><path d="M0 0 C6.69 0, 33.44 0, 40.13 0 M0 0 C6.69 0, 33.44 0, 40.13 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(330.8844535922665 253.78953725942876) rotate(0 20.065083013713377 1.7053025658242404e-13)"><path d="M0 0 C6.69 0, 33.44 0, 40.13 0 M0 0 C6.69 0, 33.44 0, 40.13 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(330.8844535922665 262.7837199006072) rotate(0 20.065083013713377 1.7053025658242404e-13)"><path d="M0 0 C6.69 0, 33.44 0, 40.13 0 M0 0 C6.69 0, 33.44 0, 40.13 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(104.25279456556635 290.5136711584557) rotate(0 91.11621656197839 0.04380435589348508)"><path d="M0.48 -0.9 C30.97 -1.05, 152.67 -1.03, 182.95 -1.16 M-0.72 1.25 C29.7 1.27, 152.14 0.41, 182.52 0.04" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(104.25279456556635 290.5136711584557) rotate(0 91.11621656197839 0.04380435589348508)"><path d="M152.93 12.19 C161.86 7.65, 169.46 2.24, 180.93 -0.38 M155.3 11 C163.86 7.16, 173.42 3.7, 183 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(104.25279456556635 290.5136711584557) rotate(0 91.11621656197839 0.04380435589348508)"><path d="M152.74 -8.33 C161.69 -6.68, 169.34 -5.9, 180.93 -0.38 M155.11 -9.52 C163.66 -6.64, 173.28 -3.37, 183 0" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(120.18377331542206 242.54221661490686) rotate(0 76.79993438720703 12.5)"><text x="76.79993438720703" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Query + Prompt</text></g><g transform="translate(391.1115001064154 147.66180609472076) rotate(0 55.86994934082031 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Information</text></g><g transform="translate(310.2364705983474 10) rotate(0 51.5 47)"><use href="#image-10daff1cbdab32e7c8ca33a9a88cd81086247172" width="103" height="94" opacity="1"></use></g><g stroke-linecap="round"><g transform="translate(333.5483982465353 223.69005207156323) rotate(0 0.5972485488939441 -53.7201324047964)"><path d="M0.84 -0.99 C0.66 -18.71, -0.46 -89.23, -0.57 -106.77 M-0.18 1.1 C-0.02 -16.92, 1.82 -90.36, 1.76 -108.54" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(333.5483982465353 223.69005207156323) rotate(0 0.5972485488939441 -53.7201324047964)"><path d="M10.01 -81.46 C9.49 -89.86, 6.92 -98.03, 2.3 -106.95 M12.35 -81.14 C10.02 -86.94, 7.32 -92.57, 1.49 -107.77" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(333.5483982465353 223.69005207156323) rotate(0 0.5972485488939441 -53.7201324047964)"><path d="M-10.51 -81.72 C-3.97 -90.18, 0.52 -98.25, 2.3 -106.95 M-8.17 -81.4 C-5.95 -87.33, -4.11 -92.9, 1.49 -107.77" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(369.2634597379029 120.87890625000006) rotate(0 0.7935305156384018 50.30309895085756)"><path d="M-0.49 1.16 C-0.01 17.76, 1.49 83.37, 2.08 99.88 M1.45 0.73 C1.79 16.95, 0.68 81.85, 0.85 98.14" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(369.2634597379029 120.87890625000006) rotate(0 0.7935305156384018 50.30309895085756)"><path d="M-7.34 69.01 C-5.6 77.31, -2.63 82.04, 0.31 99.57 M-8.57 69.67 C-6.05 79.27, -2.83 88.46, 0.7 97.76" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(369.2634597379029 120.87890625000006) rotate(0 0.7935305156384018 50.30309895085756)"><path d="M13.18 69.11 C10.08 77.3, 8.22 82.01, 0.31 99.57 M11.95 69.77 C7.74 79.17, 4.23 88.33, 0.7 97.76" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(268.8692830983474 147.23046875) rotate(0 27.189971923828125 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Query</text></g><g transform="translate(422.89443721211694 31.82421875) rotate(0 46.69995880126953 25)"><text x="46.69995880126953" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Knowledge</text><text x="46.69995880126953" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">source</text></g><g stroke-linecap="round" transform="translate(74.01772059834741 224.65624999999994) rotate(0 21 24.5)"><path d="M4.31 9.04 C4.31 9.04, 4.31 9.04, 4.31 9.04 M4.31 9.04 C4.31 9.04, 4.31 9.04, 4.31 9.04 M2.96 16.6 C6.33 14.66, 8.75 9.58, 14.7 1.44 M2.69 18.51 C5.84 12.49, 11.6 7.62, 16.16 0.47 M-0.94 26.59 C7.9 17.22, 15.63 8.74, 22.3 -0.48 M-0.49 25.86 C7.72 17.16, 14.8 9.08, 20.95 1.33 M0.34 31.84 C10.03 24.21, 13.08 16.94, 27.12 1.41 M1.56 30.33 C9.59 23, 15.85 13.62, 27.29 1.96 M2.8 35.12 C14.59 22.34, 25.58 8.59, 28.91 2.31 M3.03 33.67 C11.91 25.99, 18.96 16.07, 31.31 3.12 M6.84 40.68 C16.83 28.95, 26.78 15.63, 34.93 5.33 M4.33 39.37 C11.67 32.4, 16.69 25.19, 33.34 5.4 M6.52 42.37 C16.22 28.84, 26.22 17.95, 35.82 10.42 M7.98 42.76 C17.99 30.09, 28.54 17.39, 35.48 8.97 M11.46 42.89 C18.41 32.66, 29.03 24.57, 37.52 11.51 M10.23 44.99 C19.34 33.58, 28.4 24.09, 40.15 10.63 M13.46 44.48 C22.35 39.61, 25.7 30.92, 40.55 14.8 M14.25 45.63 C20.39 39.17, 25.74 31.31, 41.04 14.86 M20.35 47.57 C25.65 41.34, 31.31 34.31, 43.18 20.1 M17.67 48.14 C24.82 39.47, 32.72 32.03, 42.94 21.07 M22.51 49.51 C28.34 43.34, 32.59 35.63, 42.62 28.31 M21.81 50.42 C27.52 43.07, 32.15 38.06, 42.58 27.9 M30.1 47.41 C32.46 43.43, 38 36.09, 40.98 32.84 M28.49 48.57 C31.78 42.95, 35.33 38.68, 41.24 32.46" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M30.79 2.27 C34.86 4.2, 39.12 9.13, 40.8 14.09 C42.48 19.06, 42.1 27.02, 40.84 32.05 C39.59 37.07, 36.85 41.55, 33.28 44.23 C29.72 46.92, 23.98 48.72, 19.46 48.17 C14.93 47.61, 9.41 44.59, 6.13 40.91 C2.85 37.22, 0.11 31.32, -0.22 26.04 C-0.55 20.76, 1.39 13.41, 4.14 9.24 C6.89 5.06, 11.74 1.99, 16.27 1 C20.81 0.01, 28.42 2.61, 31.34 3.31 C34.26 4.01, 33.76 4.64, 33.81 5.19 M20.49 1.18 C24.6 0.42, 30.04 0.69, 33.6 3.65 C37.17 6.61, 40.86 13.85, 41.89 18.97 C42.91 24.09, 41.66 29.99, 39.76 34.38 C37.85 38.77, 34.24 43.11, 30.45 45.3 C26.65 47.48, 21.28 48.6, 17 47.49 C12.72 46.38, 7.35 42.86, 4.76 38.65 C2.17 34.45, 1.02 27.46, 1.46 22.26 C1.9 17.07, 4.67 11.17, 7.41 7.47 C10.15 3.77, 16.06 1.27, 17.9 0.07 C19.74 -1.12, 18.08 -0.12, 18.46 0.3" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(92.45847910895725 236.83213386092956) rotate(0 2.7099990844726562 12.5)"><text x="2.7099990844726562" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">1</text></g><g stroke-linecap="round" transform="translate(215.5685018483474 136.59765624999994) rotate(0 21 24.5)"><path d="M2.96 10.52 C2.96 10.52, 2.96 10.52, 2.96 10.52 M2.96 10.52 C2.96 10.52, 2.96 10.52, 2.96 10.52 M0.65 16.87 C6.9 12.67, 12.48 7.98, 17.82 2.44 M2.95 17 C6.38 11.27, 11.75 7.22, 15.66 0.36 M2.39 26.54 C5.7 19.87, 11.33 14.89, 19.14 0.78 M0.15 25.47 C9.42 15.93, 16.11 8.01, 20.51 2.16 M2.87 27.56 C10.23 21.83, 15.75 11.87, 26.8 1.25 M3.39 28.55 C8.63 22.23, 15.79 14.84, 25.19 2.69 M3.13 31.82 C13.91 22.82, 22.92 13.42, 32.04 5.03 M3.96 33.79 C13.06 23.73, 22.33 12.44, 29.2 3 M6.24 38.24 C12.29 29.83, 21.47 17.91, 31.25 6.45 M7.06 37.46 C15.04 27.75, 24.73 17.36, 32.97 5.65 M7.89 43.68 C16.99 31.76, 22.4 25.31, 35.75 8 M6.11 42.38 C15.02 32.47, 22.92 23.74, 36.37 9.53 M12.18 43.13 C21.42 32.92, 29.44 24.1, 39.14 10.52 M11.14 43.88 C18.27 35.18, 27.23 25.81, 39.68 10.86 M12.41 47.96 C22.47 37.47, 33.63 25.72, 43.17 16.1 M13.27 46.98 C20.55 38.68, 27.58 31.19, 42.07 14 M18.15 50.29 C26.62 38.46, 32.26 28.45, 41.64 21.58 M16.41 48.51 C28.18 38.24, 38.11 25.34, 43.23 19.75 M21.13 50.18 C27.12 41.65, 34.74 33.25, 44.87 25.89 M20.81 51.25 C25.31 45.64, 31.8 38.97, 42.47 24.56 M29.12 46.58 C33.2 41.92, 40.84 34.67, 43.03 28.82 M29.63 46.61 C34.52 40.42, 39.32 35.63, 43.67 30.1" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M28.83 2.86 C32.98 4.51, 38.41 8.3, 40.55 12.63 C42.7 16.96, 42.95 23.71, 41.68 28.84 C40.41 33.96, 36.71 39.9, 32.95 43.41 C29.2 46.91, 23.52 50.01, 19.13 49.88 C14.74 49.75, 9.67 46.42, 6.63 42.63 C3.58 38.84, 1.52 32.45, 0.88 27.14 C0.23 21.83, 0.32 15.19, 2.76 10.76 C5.19 6.33, 10.7 1.76, 15.49 0.58 C20.27 -0.6, 28.45 2.68, 31.45 3.7 C34.46 4.71, 33.71 6.29, 33.51 6.68 M18.22 -0.68 C22.25 -1.51, 27.82 1.52, 31.74 4.12 C35.66 6.72, 40.33 10.02, 41.74 14.93 C43.14 19.83, 41.62 28.22, 40.15 33.55 C38.69 38.89, 36.68 44.55, 32.96 46.94 C29.25 49.33, 22.78 48.81, 17.89 47.87 C13 46.94, 6.69 44.95, 3.63 41.3 C0.57 37.66, -0.55 31.51, -0.49 26 C-0.44 20.5, 1.01 12.53, 3.95 8.28 C6.9 4.04, 15.11 1.76, 17.19 0.54 C19.26 -0.67, 16.5 0.84, 16.41 0.98" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(229.5992643262424 148.7735401109295) rotate(0 7.1199951171875 12.5)"><text x="7.1199951171875" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">2</text></g><g stroke-linecap="round" transform="translate(515.5685018483474 130.59765624999994) rotate(0 21 24.5)"><path d="M6.15 8 C6.15 8, 6.15 8, 6.15 8 M6.15 8 C6.15 8, 6.15 8, 6.15 8 M1.07 17.01 C6.88 14.49, 9.64 6.69, 16.62 -0.15 M2.13 18.85 C7.51 13.14, 10.56 7.09, 19.1 -0.92 M4.45 22.57 C7.39 18.85, 10.75 14.3, 23.13 0.57 M2.97 24.52 C8.26 16.76, 15.97 8.97, 22.52 2.05 M3.12 30.15 C10.86 22.86, 15.81 14, 27.48 3.6 M4.23 28.91 C12.97 19.7, 22.4 9.74, 26.76 3.31 M4.92 35.08 C15.05 22.19, 21.02 11.84, 30.45 3.97 M4.24 34.29 C11.59 25.04, 17.41 18.3, 31.04 3.86 M4.93 40.61 C12.8 32.7, 18.32 22.44, 33.38 6.71 M6.49 38.57 C14.82 28.53, 25.11 15.64, 33.62 7.35 M8.49 41.26 C17.73 31.69, 29.94 19.26, 36.48 10.7 M9.5 41.22 C16.05 33.77, 23.12 24.42, 36.05 9.47 M9.82 44.62 C16.01 39.3, 23.69 30.24, 38.7 12.16 M11.26 44.85 C18.18 37.54, 23.28 32.61, 37.77 14.2 M14.95 46.18 C22.99 38.27, 28.38 30.75, 41.45 16.04 M15.05 46.58 C20.75 37.92, 28.53 31.04, 41.76 16.79 M20.23 50.1 C26.53 40.28, 32.75 34.02, 43.75 19.78 M17.75 48.54 C26.75 38.4, 36.98 28.76, 42.48 20.22 M22.76 49.81 C32.57 40.05, 37.18 30.23, 44.67 26.17 M23.12 49.08 C31.85 39.91, 38.27 30.79, 44.16 25.68" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M18.38 -0.41 C22.5 -1.19, 28.56 2.11, 32.27 5.1 C35.99 8.08, 39.33 12.71, 40.67 17.52 C42 22.33, 41.96 29.22, 40.31 33.98 C38.65 38.74, 34.75 43.75, 30.73 46.07 C26.72 48.39, 20.55 49.23, 16.21 47.88 C11.86 46.52, 7.24 42.26, 4.65 37.93 C2.06 33.6, 0.43 26.91, 0.69 21.92 C0.94 16.92, 2.56 11.72, 6.2 7.95 C9.84 4.18, 19.51 0.38, 22.52 -0.72 C25.52 -1.82, 24.19 0.7, 24.22 1.37 M25.2 -0.21 C29.83 0.32, 35.51 3.44, 38.22 7.46 C40.93 11.47, 41.58 18.66, 41.46 23.9 C41.34 29.14, 40.23 34.98, 37.52 38.91 C34.81 42.84, 29.87 46.54, 25.18 47.48 C20.5 48.41, 13.25 46.69, 9.43 44.54 C5.6 42.4, 3.72 39.29, 2.24 34.6 C0.76 29.92, -1.02 21.69, 0.54 16.41 C2.1 11.12, 7.53 5.67, 11.62 2.9 C15.7 0.14, 23.06 0.31, 25.07 -0.18 C27.08 -0.67, 23.75 -0.46, 23.66 -0.03" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(529.9092618848362 142.7735401109295) rotate(0 6.80999755859375 12.5)"><text x="6.80999755859375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">3</text></g><g stroke-linecap="round"><g transform="translate(338.00655284083416 453.20116552620635) rotate(0 14.16491213902242 -15.447694886675492)" fill-rule="evenodd"><path d="M0.45 0.14 L4.01 -6.44 L8.22 -9.5 L13.81 -13.14 L16.79 -12.31 L22.15 -13.35 L32.45 -14.23 L37.08 -9.59 L42.44 -6.38 L61.27 -25.58 L54.17 -29.47 L49.83 -32.76 L40.35 -34.8 L33.63 -37.72 L23.95 -39.21 L13.39 -36.86 L2.97 -35.25 L-5.42 -28.97 L-15.39 -23.52 L-17.93 -18.07 L-23.37 -9.61 L-27.08 -4.09 L-29.26 6.09 L1.3 0.29" stroke="none" stroke-width="0" fill="#ea4335" fill-rule="evenodd"></path><path d="M-0.24 0.48 C0.68 -1.72, 1.97 -4.12, 3.7 -5.34 M0.31 0.28 C0.87 -1.5, 1.22 -2.42, 3.2 -5.49 M3.36 -6.14 C4.34 -7, 4.77 -7.95, 7.72 -8.78 M3.19 -5.65 C4.31 -6.83, 5.32 -7.52, 7.37 -9.19 M7.66 -9.78 C9.37 -10.54, 10.76 -10.59, 12.46 -11 M7.51 -9.1 C8.85 -9.56, 10.1 -10.19, 12.71 -11.52 M12.2 -11.38 C15.3 -12.43, 16.86 -12.94, 18.47 -12.78 M12.75 -11.22 C14.8 -12.19, 16.73 -12.18, 18.24 -13 M18.18 -12.7 C19.6 -13.04, 20.76 -12.86, 23.9 -13.18 M18.73 -13 C20.2 -12.75, 21.7 -13.1, 24.32 -13.29 M24.59 -13.13 C27.19 -13.42, 29.27 -12.32, 31.44 -11.94 M24.15 -13.22 C25.98 -12.77, 27.6 -12.81, 31.33 -12.4 M31.7 -12.25 C32.36 -12.72, 33.73 -11.8, 37.18 -11.11 M31.45 -12.6 C32.79 -12.29, 34.87 -11.38, 37.14 -11.05 M37.67 -10.59 C39.68 -9.71, 40.93 -8.46, 42.57 -7.26 M37.03 -11.01 C39.48 -9.79, 40.99 -8.58, 42.77 -7.36 M41.99 -8.99 C48.67 -11.19, 52.53 -15.2, 60.61 -24.41 M41.96 -7.24 C49.86 -14.17, 55.96 -20.55, 59.38 -24.7 M60.12 -24.19 C58.2 -25.12, 54.94 -27, 53.46 -28.74 M60.21 -23.5 C58.54 -24.59, 57.71 -25.95, 54.21 -28.17 M53.63 -27.57 C52.31 -29.05, 51.11 -29.65, 47.65 -32.29 M53.78 -28.38 C51.58 -29.64, 49.99 -30.58, 47.92 -32.27 M48.31 -31.65 C46.18 -32.19, 45.18 -32.9, 42.03 -33.87 M47.84 -32.24 C45.99 -32.55, 44.32 -33.72, 42.17 -34.03 M42.78 -33.5 C39.28 -35.81, 35.74 -35.82, 33.35 -36.8 M42.43 -33.99 C39.65 -35.45, 36.9 -35.83, 33.11 -37.57 M32.65 -38.31 C30.68 -38.04, 26.49 -37.88, 23.32 -37.17 M32.88 -37.65 C29.84 -38.02, 25.76 -37.59, 22.19 -37.49 M21.92 -38.56 C19.59 -37.35, 17.55 -37.68, 14.02 -36.01 M22.29 -37.62 C19.87 -37.24, 18.13 -36.88, 13.42 -35.94 M13.81 -35.62 C10.79 -35.51, 8.42 -34.8, 4.31 -33.07 M12.83 -35.82 C10.89 -35.71, 9.07 -35.01, 3.78 -33.6 M2.74 -34.13 C1.13 -32.9, -0.96 -30.96, -4.63 -29.97 M3.52 -33.5 C1.31 -32.72, -1.19 -31.43, -5.04 -30.01 M-5.55 -29.35 C-8.72 -26.21, -11.54 -23.53, -14.66 -23.24 M-5.4 -30.14 C-6.44 -28.62, -9.24 -26.1, -13.69 -22.96 M-13.42 -22.08 C-15.07 -21.08, -17 -19, -19.72 -16.13 M-13.3 -22.79 C-15.6 -20.32, -17.19 -18.96, -19.17 -16.71 M-19.34 -16.64 C-19.95 -15.06, -22.87 -12.81, -23.11 -9.77 M-19.39 -16.67 C-21.02 -14.35, -21.86 -12.14, -23.6 -9.71 M-23.32 -10.15 C-24.6 -7.78, -26.4 -5.35, -27.52 -3.86 M-23.55 -9.59 C-25.13 -7.7, -25.85 -5.4, -27.09 -3.06 M-27.09 -3.46 C-27.09 0.18, -29.91 3.75, -30.67 7.23 M-26.61 -3.21 C-27.8 -1.11, -28.47 1.73, -30.51 7.66 M-32.28 6.71 C-19.33 3.76, -9.86 1.9, 0.62 -1.9 M-31.11 7.67 C-23.09 5.16, -14.41 3.31, -1 -0.63 M-0.3 -0.39 C-0.24 -0.3, -0.2 -0.19, -0.04 0.01 M-0.28 -0.4 C-0.19 -0.25, -0.11 -0.18, 0.02 -0.02" stroke="#b42d21" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(361.8264686830074 502.69527841215967) rotate(0 -26.647154234256742 10.839245874059827)" fill-rule="evenodd"><path d="M-1.72 0.14 L-1.02 25.37 L-33 22.63 L-42.11 20.8 L-51.53 17.36 L-52.82 15.62 L-36.35 0.13 L-32 1.17 L1.56 -1.19" stroke="none" stroke-width="0" fill="#34a853" fill-rule="evenodd"></path><path d="M-1.68 1.25 C-1.52 8.71, 1.06 17.96, -1.52 23.42 M0.31 -0.51 C-0.68 9.15, -0.13 17.92, -0.65 23.87 M0.1 22.81 C-11.96 22.04, -18.92 25.53, -34.77 23.73 M-0.35 23.9 C-14.14 24.77, -27.39 24.39, -33.64 24.6 M-33.76 23.15 C-36.76 23.61, -39.25 23.6, -42.96 21.84 M-33.73 24.27 C-36.25 23.6, -39.16 22.89, -41.98 21.9 M-42 21.53 C-44.76 20.68, -46.13 20.47, -49.12 19.62 M-42.43 21.85 C-44.95 21.51, -47.37 19.81, -50.01 19.19 M-49.67 18.78 C-51.31 18.04, -53.15 16.98, -54.16 15.81 M-49.63 19.07 C-51.16 18.04, -52.1 17.25, -54.02 16.08 M-52.57 14.98 C-49.69 12.76, -45.1 8.84, -38.5 -2.92 M-53.42 17.15 C-48.1 10.9, -43.1 5.29, -37.67 -0.95 M-37.43 -2.22 C-35.76 -1.21, -33.68 -0.86, -31.15 0.52 M-37.34 -1.94 C-35.78 -1.13, -34.63 -1.04, -30.89 0.27 M-29.88 -0.15 C-24.07 -0.28, -14.51 1.14, 0.86 0.95 M-30.23 -0.01 C-19.33 0.24, -6.02 1.09, -0.92 -0.35 M-0.35 0.15 C-0.24 0.11, -0.14 0.05, 0.04 -0.03 M-0.38 0.14 C-0.24 0.09, -0.09 0.01, 0.02 -0.02" stroke="#216f36" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(397.6824824565134 428.90961154541304) rotate(0 -1.752658681440451 48.827789261089094)" fill-rule="evenodd"><path d="M-0.54 -0.16 L-17.54 16.17 L-12.06 19.29 L-8.94 23.69 L-5.26 32.35 L-5.83 36.36 L-7.13 45.04 L-1.17 44.29 L4.82 47.76 L9.37 52.02 L10.64 58.92 L6.58 66.49 L5.11 71.49 L-0.02 72.05 L-5.64 72.41 L-33.79 73.29 L-36.54 96.46 L-1.01 96.99 L9.78 97.64 L15.57 91.83 L21.02 87.42 L28.7 78.82 L32.4 70.48 L33.62 58.16 L32.81 46.4 L29.21 39.76 L21.48 31.68 L15.35 28.04 L10.71 13.85 L8.57 9.92 L0.09 0.27" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-1.42 0.41 C-5.24 7.68, -14.16 11.71, -15.85 18.54 M-0.89 0.66 C-6.76 7.27, -13.52 12.38, -16.92 16.77 M-17.38 16.16 C-15.72 18.12, -15.38 18.57, -12.77 20.54 M-17 16.79 C-15.66 18.19, -14.24 19.77, -13.35 20.88 M-13.55 20.92 C-12.93 22.21, -12.35 22.46, -10.05 25.49 M-13.12 20.85 C-12.21 22.3, -10.77 23.73, -10.19 25.08 M-10.54 24.76 C-9.21 27.26, -7.81 29.84, -7.12 31.43 M-10.3 25.59 C-9.3 27.44, -8.2 30.36, -6.99 31.27 M-7.26 31.61 C-7.1 33.36, -6.58 34.62, -6.2 37.71 M-7.43 31.43 C-6.76 32.63, -6.64 33.71, -6.31 37.5 M-6.09 37.63 C-5.8 39.74, -6.24 40.77, -5.59 43.46 M-5.97 37.41 C-5.9 39.31, -6 41.28, -5.72 43.56 M-6.06 43.27 C-3.85 43.48, -1.89 44.3, -0.72 44.64 M-5.67 43.43 C-4.23 43.48, -2.36 43.97, -0.32 44.44 M-0.57 44.16 C1.23 45.59, 3.04 46.55, 4.57 46.94 M-0.36 44.22 C1.02 45.23, 1.81 45.66, 4.05 47.21 M4.47 47.43 C5.21 48.34, 6.6 49.25, 8.76 52.31 M3.88 47.28 C5.19 48.83, 7.07 50.67, 7.81 52.76 M7.62 52.83 C7.98 53.8, 8.23 56.67, 9.2 59.91 M8.44 52.51 C8.8 55.29, 8.82 58.23, 9.46 59.48 M9.29 59.86 C8.52 61.82, 8.62 64.61, 8.17 65.66 M9.69 59.96 C9 60.82, 8.52 62.02, 8.18 66.18 M7.82 66.18 C6.08 68.14, 4.8 69.24, 3.38 70.34 M7.92 65.79 C6.71 67.46, 5.66 68.53, 3.51 70.81 M3.2 70.91 C1.94 71.92, -0.05 72.33, -1.5 73.32 M3.48 70.78 C1.94 71.42, 0.35 72.21, -1.18 72.9 M-1.24 72.96 C-2.02 73.53, -3.64 73.34, -6.89 73.29 M-1.17 73.07 C-2.99 73.34, -4.7 73.46, -7.5 73.52 M-8.08 72.45 C-11.66 74.24, -20.71 72.8, -34.77 72.59 M-7.08 73.99 C-16.25 74.39, -26.25 74.1, -35.88 74.08 M-33.86 73.46 C-33.53 83.36, -37.25 90.73, -36.84 96.18 M-35.46 73.88 C-34.76 82.86, -35.77 92, -36.53 97.02 M-34.43 98.51 C-26.53 96.88, -19.71 98.58, -1.82 98.31 M-36.5 98.1 C-24.56 96.68, -12.21 97.36, -0.43 96.85 M-1.3 97.95 C0.88 96.14, 4.09 96.62, 7.37 94.85 M-1.62 97.73 C0.57 96.73, 2.69 97.02, 8.47 95.77 M8.52 95.28 C10.47 94.78, 13.76 92.93, 16.51 91.82 M8.12 95.54 C10.11 94.59, 11.76 93.24, 16.49 91.22 M15.39 90.48 C18.67 89.44, 20.35 87.8, 22.37 85.77 M16.43 91.16 C18.21 89.48, 20.35 87.74, 22.65 86.1 M22.27 85.65 C23.15 83.36, 25.47 81.67, 28.6 78.25 M22.95 85.68 C24.19 83.88, 26.12 81.12, 28.52 77.88 M27.55 77.83 C28.81 75.39, 29.4 72.44, 32.76 69.46 M28.13 78.18 C29.14 75.56, 30.79 72.54, 32.05 68.46 M31.04 69.1 C32.78 65.22, 32.17 63.27, 32.54 57.37 M32.22 68.81 C32.03 65.21, 32.34 61.47, 33.25 57.74 M32.27 58.9 C31.88 55.38, 32.3 52.4, 31.75 47.12 M33.36 57.98 C33.4 55.65, 32.77 53.98, 32.1 47.51 M31.08 46.8 C30.64 43.63, 28.88 42.12, 26.63 38.46 M32.22 47.23 C30.36 44.03, 29.18 40.91, 27.02 38.4 M26.85 38.63 C25.64 36.1, 23.61 33.7, 22.79 30.45 M27.55 38.53 C26.17 36.52, 25.23 34.64, 22.87 31.4 M22.65 30.63 C20.08 28.82, 17.84 27.04, 15.91 26.92 M22.26 31.43 C20.61 30.02, 19.05 28.46, 16.47 26.45 M16.88 26.94 C14.87 24.31, 13.13 19.48, 11.86 14.01 M16.4 27.03 C14.98 23.79, 14.46 20.8, 11.73 15.19 M12.53 15.21 C10.81 12.73, 9.97 10.83, 8.26 8.32 M12.27 15.07 C10.78 13.75, 9.92 12.63, 7.76 8.18 M7.63 8.8 C4.42 4.62, 1.96 3.18, 0.22 -0.85 M7.93 7.89 C6.16 6.36, 4.7 4.78, 0.63 0.02 M0.61 0.16 C0.32 0.14, 0.22 0.09, -0.02 0.03 M0.57 0.21 C0.35 0.12, 0.1 0.05, 0.01 0.03" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(344.8882475593092 480.62161823369564) rotate(0 -16.861444202925938 3.0957603853706814)" fill-rule="evenodd"><path d="M-0.68 -1.73 L18.11 -16.45 L8.56 -25.43 L1.94 -30.71 L-11.08 -32.06 L-19.89 -32.88 L-30.03 -29.5 L-42.67 -21.98 L-49.6 -14.08 L-51.17 -5.48 L-53.16 5.7 L-51.57 14.37 L-47.07 21.89 L-43.88 30.67 L-36.59 38.14 L-21.34 17.85 L-26.01 16.21 L-27.91 5.81 L-24.31 -2.75 L-20.86 -6.62 L-12.31 -9.25 L-3.94 -5.51" stroke="none" stroke-width="0" fill="#fbbc05" fill-rule="evenodd"></path><path d="M1.18 1.37 C5.1 -7.12, 14.04 -10.74, 19.5 -16.71 M-0.33 0.94 C3.98 -4.79, 8.95 -8.64, 17.17 -17.26 M18.38 -16.45 C15.69 -19.2, 15.39 -21.18, 10.69 -24.91 M17.69 -17.24 C15.97 -18.91, 13.64 -20.97, 9.58 -24.44 M9.56 -23.77 C7.74 -25.96, 6.75 -26.31, 2.18 -28.93 M9.99 -24.63 C7.42 -26.7, 3.7 -28.66, 1.81 -29.31 M1.6 -29.64 C0.03 -29.33, -2.96 -31.13, -8.5 -32.94 M1.15 -30.09 C-1.27 -29.78, -2.72 -31.22, -9.52 -32.81 M-9.84 -32.6 C-12.08 -33.24, -14.66 -31.76, -19.84 -32.19 M-9.14 -32.79 C-12.58 -32.76, -16.34 -32.02, -18.83 -31.79 M-18.58 -31.11 C-22.67 -32.14, -24.46 -30.34, -30.77 -28.12 M-18.76 -31.9 C-24.02 -30.45, -28.47 -29.18, -30.63 -29.38 M-31.05 -29.56 C-33.11 -26.84, -36.34 -25.02, -41.39 -22.51 M-31.12 -29.43 C-32.51 -27.3, -35.32 -25.46, -40.93 -21.08 M-41.23 -20.89 C-42.44 -18.68, -43.92 -17.45, -48.32 -12.09 M-40.89 -21.06 C-43.36 -19.4, -44.93 -16.95, -48.16 -12.62 M-47.53 -13.36 C-47.99 -10.89, -49.12 -7.75, -51.11 -3.54 M-48.14 -13.5 C-48.53 -10.74, -50.46 -7.51, -51.72 -3.52 M-52.2 -4.82 C-52.85 0.59, -52.77 3.95, -51.86 6.26 M-51.12 -4 C-52.22 0.05, -52.19 3.27, -52.46 6.51 M-53.22 6.52 C-51.86 9.9, -51.53 11.59, -52.25 15.48 M-52.86 6.54 C-52.64 8.72, -51.51 11.69, -50.98 15.76 M-51.57 16.56 C-50.11 18.49, -49.62 21.3, -48.71 23.43 M-51.39 16.35 C-50.13 19.19, -49.25 22.41, -48.1 23.72 M-48.32 24.42 C-47.64 25.4, -47.02 27.79, -43.75 30.94 M-48.53 23.74 C-47.4 25.43, -46.5 27.16, -44.48 31.36 M-43.38 31.67 C-41.84 33.06, -39.71 34.27, -37.09 38.99 M-44.47 31.36 C-42.91 32.81, -41.44 33.9, -37.3 38.11 M-35.14 39 C-32.81 31.87, -25.62 25.99, -19.62 18.12 M-36.41 39.13 C-31.6 32.75, -26.34 26.77, -19.65 20.2 M-19.51 20.23 C-22.82 18.11, -24.43 16.09, -25.56 14.28 M-19.92 19.82 C-22.17 18.16, -24.37 16.35, -26.45 14.71 M-25.99 14.27 C-27.33 12.93, -27.78 10.85, -28.39 6.67 M-26.36 14.23 C-26.53 12.27, -27.21 9.83, -28.54 6.42 M-29.43 6.05 C-28.38 4.15, -27.58 0.35, -26.99 -0.62 M-28.72 6.25 C-27.96 5.21, -27.33 3.53, -26 -0.98 M-26.55 -0.68 C-25 -2.21, -23.62 -3.26, -21.92 -7.24 M-26.05 -1.21 C-24.28 -3.61, -22.21 -5.36, -21.3 -6.4 M-20.75 -7 C-19.31 -7.36, -18.22 -7.61, -13.04 -9.17 M-21.25 -6.93 C-18.58 -7.64, -16.44 -7.68, -13.37 -8.47 M-13.78 -9.42 C-10.68 -8.56, -8.57 -6.69, -4.84 -6.02 M-13.24 -8.41 C-11.09 -8.11, -9.11 -7.22, -4.83 -4.82 M-4.93 -5.3 C-3.97 -4.12, -1.52 -1.88, 0.01 -0.1 M-4.83 -5.03 C-3.28 -3.94, -2.28 -2.95, -0.11 -0.02" stroke="#c7970f" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(373.0372518483474 333.31249999999994) rotate(0 0.8502078224950154 40.81246541077269)"><path d="M1 -0.39 C1.15 13.11, 1.5 68.38, 1.64 82.01 M0.06 -1.64 C0.06 11.94, 0.82 69.31, 1.07 83.26" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(373.0372518483474 333.31249999999994) rotate(0 0.8502078224950154 40.81246541077269)"><path d="M-10.26 56.44 C-6.42 66.76, -3.65 75.85, 1.77 81.88 M-8.75 56.15 C-5.27 66.58, -0.78 77.76, 1.85 83.16" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(373.0372518483474 333.31249999999994) rotate(0 0.8502078224950154 40.81246541077269)"><path d="M10.26 56.13 C6.72 66.74, 2.13 75.93, 1.77 81.88 M11.77 55.84 C7.37 66.23, 3.98 77.52, 1.85 83.16" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(390.710126299031 356.53515624999994) rotate(0 76.2099380493164 12.5)"><text x="76.2099380493164" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Prompt + Chunk</text></g><g stroke-linecap="round" transform="translate(554.1778768483474 343.67187499999994) rotate(0 21 24.5)"><path d="M9.53 4.31 C9.53 4.31, 9.53 4.31, 9.53 4.31 M9.53 4.31 C9.53 4.31, 9.53 4.31, 9.53 4.31 M1.04 17.13 C7.18 10.56, 13.65 3.67, 19.1 2.5 M1.59 19.57 C7.33 15.01, 11.63 8.71, 17.67 1.66 M0.62 26.09 C8.97 14.83, 19.68 7.36, 24.77 -1 M0.83 25.12 C7.57 18.66, 11.97 13.9, 22.87 1 M1.04 32.35 C8.46 26.75, 10.79 19.77, 26.19 2.27 M1.3 31.37 C8.3 24.07, 15.69 15, 27.2 2.67 M3.87 36.41 C13.48 23, 25.39 12.16, 31.26 3.94 M3.72 36.49 C14.19 23.86, 24.64 12.34, 31.02 4.13 M5.43 39.88 C14.94 27.72, 25.82 20.01, 31.96 7.09 M6.61 38.84 C13.74 28.85, 22.75 19.25, 33.47 7.24 M8.03 42.09 C18.15 31.69, 29.84 17.23, 36.1 8.81 M9.4 41.2 C17.48 32.87, 25.96 22.9, 37.02 9.47 M10.22 43.64 C17.99 36.3, 25.74 27.13, 37.8 13.54 M11.55 44.88 C19.67 33.84, 28.73 24.97, 39.83 12.88 M12.73 48.42 C21.6 39.19, 27.36 35.23, 39.85 16.59 M14.27 47.59 C18.9 41.45, 26 34.4, 40.91 18.28 M20.05 47.96 C26.78 38.79, 35.42 29.04, 41.51 23.94 M19.03 48.26 C25.3 40.35, 33.69 31.63, 41.8 22.77 M22.44 48.02 C29.43 42.89, 31.48 41.29, 38.37 31.89 M23.34 49.39 C28.84 42.47, 32.85 38.72, 39.23 29.94" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M23.24 -0.26 C27.6 -0.15, 33.24 3.94, 36.22 7.72 C39.19 11.5, 40.81 17.34, 41.09 22.42 C41.37 27.5, 40.27 33.92, 37.91 38.2 C35.55 42.47, 31.09 46.67, 26.95 48.06 C22.81 49.46, 17.35 48.86, 13.08 46.56 C8.82 44.25, 3.37 38.88, 1.36 34.23 C-0.65 29.59, -0.32 23.67, 1.04 18.69 C2.4 13.7, 5.39 7.36, 9.51 4.34 C13.62 1.32, 22.79 1.03, 25.73 0.56 C28.67 0.1, 27.25 1.3, 27.14 1.56 M20.81 -0.58 C24.9 -0.79, 31.41 2.79, 35.04 6.54 C38.68 10.3, 41.91 16.78, 42.61 21.94 C43.31 27.11, 41.99 33.04, 39.25 37.51 C36.52 41.98, 30.58 46.99, 26.19 48.78 C21.81 50.57, 17.01 50.24, 12.93 48.24 C8.84 46.23, 3.87 41.62, 1.7 36.76 C-0.47 31.89, -1.11 24.44, -0.09 19.07 C0.93 13.7, 4.18 7.84, 7.8 4.51 C11.43 1.18, 19.4 -0.07, 21.66 -0.91 C23.92 -1.75, 21.1 -1.09, 21.35 -0.54" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(569.1486417676487 355.84775886092956) rotate(0 6.17999267578125 12.5)"><text x="6.17999267578125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">5</text></g><g stroke-linecap="round"><g transform="translate(332.98723135416355 416.34414594332856) rotate(0 -0.06182841694040064 -41.35995824101656)"><path d="M-0.96 -0.05 C-0.8 -13.57, 0.49 -67.26, 0.84 -80.96 M0.73 -1.12 C0.7 -15, -0.3 -69.33, -0.37 -82.67" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(332.98723135416355 416.34414594332856) rotate(0 -0.06182841694040064 -41.35995824101656)"><path d="M10.17 -55.44 C8.45 -63.1, 3.25 -69.04, 1.13 -84.52 M10.28 -54.27 C7.23 -64.12, 3.44 -72.11, -0.66 -83.02" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(332.98723135416355 416.34414594332856) rotate(0 -0.06182841694040064 -41.35995824101656)"><path d="M-10.35 -55.18 C-6.14 -62.75, -5.42 -68.77, 1.13 -84.52 M-10.24 -54.01 C-6.91 -63.94, -4.32 -72, -0.66 -83.02" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(214.84917201436303 356.37499999999994) rotate(0 44.359954833984375 25)"><text x="44.359954833984375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Synthetic</text><text x="44.359954833984375" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Data</text></g><g stroke-linecap="round"><g transform="translate(384.5567830983474 247.79687499999994) rotate(0 26.526963875377675 28.718861545380207)"><path d="M-0.11 -0.76 C8.8 2.68, 52.53 10.65, 52.42 20.35 C52.31 30.05, 7.77 51.2, -0.77 57.43 M-1.63 1.45 C7.74 5.06, 54.15 12.08, 54.68 21.54 C55.21 31, 10.34 52.06, 1.55 58.2" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(384.5567830983474 247.79687499999994) rotate(0 26.526963875377675 28.718861545380207)"><path d="M19.65 33.86 C15.62 38.35, 10.84 46.55, 0.27 57.42 M20.36 35.01 C15.09 42.33, 9.94 49.92, 0.79 58.78" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(384.5567830983474 247.79687499999994) rotate(0 26.526963875377675 28.718861545380207)"><path d="M29.84 51.68 C23.67 52.34, 16.7 56.72, 0.27 57.42 M30.55 52.82 C22.06 54.69, 13.77 56.79, 0.79 58.78" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(452.75088252461694 243.73828124999994) rotate(0 38.46996307373047 25)"><text x="38.46996307373047" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Text</text><text x="38.46996307373047" y="25" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Chunking</text></g><g stroke-linecap="round" transform="translate(539.8145955983474 239.73437499999994) rotate(0 21 24.5)"><path d="M8.22 5.82 C8.22 5.82, 8.22 5.82, 8.22 5.82 M8.22 5.82 C8.22 5.82, 8.22 5.82, 8.22 5.82 M0.38 21.31 C9.31 13.24, 12.34 6.07, 17.51 1.92 M2.36 19.32 C4.88 15.43, 9.86 10.91, 17.65 0.37 M0.14 24.4 C6.13 21.67, 11.71 15.83, 22.64 2.84 M2.27 25.47 C8.33 17.97, 16.09 8.58, 23.15 2.01 M1.99 29.61 C10.98 19.38, 21.82 10.94, 27.42 2.26 M3.78 30.27 C12.34 20.22, 22.08 10.23, 26.73 2.72 M4.56 37.39 C12.92 24.49, 23.39 11.11, 31.79 3.54 M4.19 36.7 C10.04 25.66, 19.88 17.93, 29.8 4.36 M7.08 37.32 C14.21 29.07, 25.22 17.14, 34.81 6.42 M4.83 39.6 C15.4 28.5, 23.29 16.86, 35.22 5.49 M10.11 41.69 C19.95 28, 32.32 17.66, 39.87 7.01 M8.46 41.04 C18.02 30.78, 28.07 19.59, 38.18 8.16 M10.06 43.37 C23.72 31.3, 32.14 18.34, 41.28 11.92 M11.44 45.06 C18.23 35.59, 26.5 27.96, 39.43 11.93 M14.32 49.21 C24.77 38, 36.27 26.31, 42.04 16.95 M13.51 48.94 C23.45 37.25, 32.44 26.37, 40.76 15.37 M15.27 51.81 C28.55 37.48, 38.28 25.62, 45.22 21.57 M17.47 49.76 C24.04 40.88, 32.29 32.22, 42.98 20.37 M24.08 51.88 C26.42 43.79, 35.02 35.87, 43.18 28.86 M23.63 50.64 C30.09 41.95, 36.39 34.64, 40.79 28.95" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M20.59 -0.4 C24.86 -0.51, 31.98 2.5, 35.59 5.92 C39.2 9.34, 41.61 15.07, 42.28 20.13 C42.95 25.2, 42.03 31.76, 39.61 36.31 C37.2 40.86, 32.06 45.46, 27.78 47.46 C23.5 49.46, 18.05 50.26, 13.93 48.29 C9.81 46.33, 5.17 40.43, 3.04 35.67 C0.92 30.91, 0.29 24.75, 1.18 19.73 C2.08 14.72, 4.82 8.7, 8.43 5.58 C12.03 2.47, 19.96 1.67, 22.82 1.04 C25.67 0.41, 25.46 1.66, 25.56 1.81 M25.57 -0.54 C29.94 -0.51, 33.49 3.06, 36.17 7.05 C38.85 11.04, 41.53 17.97, 41.66 23.42 C41.79 28.86, 39.6 35.65, 36.96 39.69 C34.32 43.73, 30.15 46.49, 25.82 47.67 C21.48 48.84, 14.9 49.22, 10.96 46.76 C7.02 44.31, 3.77 37.96, 2.18 32.94 C0.59 27.92, -0.12 21.46, 1.43 16.63 C2.98 11.8, 7.7 6.79, 11.51 3.95 C15.31 1.1, 22.23 0.03, 24.26 -0.44 C26.29 -0.9, 23.52 0.87, 23.7 1.17" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(554.5653592969455 251.91025886092956) rotate(0 6.399993896484375 12.5)"><text x="6.399993896484375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">4</text></g><g stroke-linecap="round" transform="translate(160.3341268483474 359.55468749999994) rotate(0 21 24.5)"><path d="M10.26 3.61 C10.26 3.61, 10.26 3.61, 10.26 3.61 M10.26 3.61 C10.26 3.61, 10.26 3.61, 10.26 3.61 M1.19 16.55 C8.43 12.16, 9.52 7.49, 17.8 3.58 M3.76 18.91 C5.79 15.17, 9.08 11.83, 15.74 1.7 M2.6 23.92 C7.73 17.72, 14.37 14.48, 24.56 -0.46 M3.92 24.24 C9.31 16.68, 14.61 11.41, 23.31 2.23 M1.77 30.91 C6.38 25.56, 13.57 19.06, 27.9 4.26 M3.48 28.8 C11.09 19.49, 19.47 9.4, 27.24 3.23 M4.19 34.53 C14.35 27.15, 18.68 16.9, 29.33 5.59 M5.34 34.98 C11.4 28.27, 16.92 21.81, 30.79 5.54 M8.61 39.59 C18.01 24.64, 28.19 13.73, 32.83 8.73 M6.52 38.73 C14.09 29.56, 20.73 20.99, 33.22 6 M7.53 41.56 C17.37 31.98, 23.13 23.64, 37.47 7.37 M9.47 41.06 C16.9 32.09, 26.68 22.9, 38.09 8.26 M10.25 46.12 C23.01 29.91, 35.26 17.47, 42.34 13.19 M11.01 45.26 C23.03 33.09, 33.56 18.94, 41.19 10.93 M17.25 45.14 C26.36 36.54, 37.47 24.22, 42.44 15.21 M15.51 45.52 C22.37 39.11, 27.47 32.73, 42.17 16.57 M20.16 45.66 C23.43 42.14, 30.11 36.53, 43 19.81 M20.72 47.58 C26.38 39.58, 31.21 33.15, 41.73 20.42 M24.65 48.03 C32.5 38.4, 41.34 31.03, 42 28.09 M25.54 47.55 C31.23 41.07, 36.76 34.47, 44.02 27.33 M34.61 43.88 C35.2 41.39, 37.5 38.77, 42.12 34.41 M34.27 42.54 C35.93 41.44, 38.16 38.67, 41.7 34.76" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M24.88 0.64 C29.29 1.19, 35.36 4.76, 38.08 8.8 C40.81 12.84, 41.28 19.62, 41.22 24.87 C41.17 30.12, 40.66 36.48, 37.76 40.29 C34.85 44.11, 28.23 46.98, 23.8 47.77 C19.37 48.56, 14.83 47.66, 11.18 45.05 C7.53 42.44, 3.56 36.81, 1.89 32.1 C0.21 27.38, -0.3 21.56, 1.12 16.78 C2.55 12, 6.1 5.8, 10.44 3.4 C14.79 0.99, 23.76 2.21, 27.21 2.37 C30.66 2.52, 31.2 4.06, 31.13 4.32 M29.16 2.94 C33.15 5.13, 37.93 11.15, 39.77 15.95 C41.62 20.74, 41.38 26.61, 40.21 31.7 C39.03 36.79, 36.5 43.76, 32.72 46.49 C28.94 49.22, 22.17 49.19, 17.54 48.07 C12.91 46.94, 7.75 43.59, 4.96 39.76 C2.18 35.92, 1.21 30.15, 0.84 25.06 C0.47 19.96, 0 13.29, 2.75 9.19 C5.5 5.1, 12.76 1.34, 17.33 0.48 C21.9 -0.37, 28.23 3.51, 30.17 4.06 C32.11 4.61, 29.14 3.76, 28.97 3.79" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(175.08489054694553 371.73057136092956) rotate(0 6.399993896484375 12.5)"><text x="6.399993896484375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">6</text></g><g transform="translate(334.17976893819116 284.57812499999994) rotate(0 16.41998291015625 12.5)"><text x="16.41998291015625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">App</text></g><g transform="translate(334.0721105519607 477.91796874999994) rotate(0 26.92998504638672 12.5)"><text x="26.92998504638672" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">PaLM</text></g></svg>
\ No newline at end of file
diff --git a/assets/2023/10/20231001-gcp-serverless-rag.svg b/assets/2023/10/20231001-gcp-serverless-rag.svg
new file mode 100644
index 0000000..b5444e2
--- /dev/null
+++ b/assets/2023/10/20231001-gcp-serverless-rag.svg
@@ -0,0 +1,17 @@
+<svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 759.8055875603204 531.5362024795759" width="1519.6111751206408" height="1063.0724049591518">
+  <!-- svg-source:excalidraw -->
+  
+  <defs>
+    <style class="style-fonts">
+      @font-face {
+        font-family: "Virgil";
+        src: url("https://excalidraw.com/Virgil.woff2");
+      }
+      @font-face {
+        font-family: "Cascadia";
+        src: url("https://excalidraw.com/Cascadia.woff2");
+      }
+    </style>
+    
+  </defs>
+  <rect x="0" y="0" width="759.8055875603204" height="531.5362024795759" fill="#ffffff"></rect><g stroke-linecap="round" transform="translate(12.916165802471824 73.4956446182477) rotate(0 6.27274001943556 23.751122763583197)"><path d="M-0.03 0.37 L14.53 0.63 L14.27 48.91 L0.98 47.31" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M1.21 -0.83 C2.32 0.19, 4.66 0.83, 13.59 -1.12 M-0.17 -0.4 C4.01 0.37, 7.71 -0.09, 12.16 0.59 M10.65 0.76 C11.67 19.31, 11.09 35.99, 14.33 48.27 M13.52 0.13 C11.48 19.79, 11.82 37.49, 12.08 47.89 M12.84 46.85 C9.41 47.69, 4.95 46.62, 1.1 47.68 M12.07 47.98 C8.3 47.67, 5.02 47.9, -0.13 47.33 M1.53 47.35 C-0.79 35.04, -0.85 20.74, 1.43 0.36 M-0.52 46.59 C-0.5 31.79, 0.5 14.51, 0.05 -0.13" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(130.22058997908698 73.4956446182477) rotate(0 6.272740019435616 23.751122763583197)"><path d="M1.98 0.63 L14.27 1.41 L13.53 47.31 L1.44 45.96" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.35 0.26 C3.79 0.99, 9.97 -1.04, 12.59 -1.15 M0.2 0.3 C3.18 -0.07, 5.79 0.67, 13.15 0.15 M11.56 0.52 C10.53 9.45, 13.87 22.87, 14.54 47.05 M11.59 0.8 C12.39 11.02, 12.54 23.41, 12.6 47.74 M13.24 47.65 C8.42 46.51, 5.28 47.62, 0.25 46.33 M12.32 47.57 C8.28 47.89, 2.86 47.43, -0.09 47.31 M-0.93 48.59 C-1.35 36.29, 1.07 24.76, 0.81 0.62 M-0.36 47.96 C0.9 29.46, 0.3 12.57, -0.01 0.18" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(27.329046454828585 73.4956446182477) rotate(0 49.636256042456864 23.751122763583197)"><path d="M1.72 1.41 L100.25 -0.19 L100.71 45.96 L0.33 48.33" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M-1.08 1.44 C24.85 -1.99, 46.44 -2.03, 98.19 -0.53 M0.14 -0.24 C22.77 0.46, 47.71 -0.23, 98.6 -0.95 M97.7 -1.6 C100.82 16.82, 101.03 31.67, 98.12 49.45 M98.66 -0.48 C98.35 15.25, 98.87 29.95, 99.61 47.74 M99.36 46.03 C76.41 47.91, 50.44 45.75, 1.61 45.98 M100.09 47.97 C61.65 47.34, 24.31 47.31, -0.57 48.26 M-0.99 47.84 C1.65 33.98, 1.03 20.35, 1.33 -1.05 M0.65 46.86 C0.22 37.43, 0.16 27.81, 0.99 0.31" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(39.626825477636885 92.04019761226567) rotate(0 18.175183264431894 3.6999733220387157)"><path d="M0.98 -0.19 L37.79 -1.54 L36.68 8.22 L0.17 7.9" stroke="none" stroke-width="0" fill="white"></path><path d="M1.67 -1.79 C11.72 -2.09, 22.21 -0.79, 35.06 0.64 M-0.61 0.93 C13.6 0.33, 24.61 -0.86, 36.73 -0.49 M37.01 0.28 C37.03 2.24, 35.87 5.54, 36.44 6.69 M36.18 0.14 C36.32 2.9, 36.43 5.71, 36.16 7.6 M38.1 7.69 C25.42 5.26, 15.28 5.61, 1.54 6.67 M36.14 7.13 C24.9 7.27, 13.17 8.33, -0.08 6.93 M0.53 7.53 C0.34 5.01, 0.53 1.77, -0.67 -0.26 M0.02 7.35 C-0.05 4.91, 0.32 2.39, 0.32 0.26" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(97.39947808589613 88.50733358814517) rotate(0 9.588717507960268 8.858139576394649)"><path d="M1.44 -1.54 L19.51 0.82 L19.35 18.22 L0.41 18.28" stroke="none" stroke-width="0" fill="white"></path><path d="M0.07 -1.75 C6.1 -0.33, 13.03 0.79, 20.09 0.28 M0.92 0.23 C4.64 -1.09, 10.93 -0.65, 19.43 -0.75 M20.94 -0.4 C18.31 5.62, 19.56 6.1, 20.59 16.63 M19.22 0.21 C19.39 4.66, 18.63 9.4, 19.28 17.76 M19.57 15.92 C16.39 16.29, 11.97 17.04, 0.21 19.27 M19.04 17.43 C11.98 18.39, 5.81 17.22, 0.52 17.24 M0.72 18.26 C1.05 11.18, -1.74 5.86, 0.82 1.15 M-0.01 17.88 C0.87 13.81, 0.75 9.97, 0.43 -0.08" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(14.461926808214912 131.6760773137375) rotate(0 6.27274001943556 23.751122763583197)"><path d="M0.33 0.82 L12.72 0.5 L12.96 48.07 L-0.86 46.35" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.68 -0.33 C1.83 0.52, 5.88 0.3, 12.24 -0.77 M-0.42 -0.6 C5.17 -0.34, 10.03 -0.52, 12.04 0.56 M11.39 1.95 C13.27 14.16, 14.62 30.9, 11.58 46.57 M12.88 0.23 C12.05 16.66, 12.69 32.25, 11.81 48.38 M13.56 46.55 C9.56 46.92, 4.79 48.4, 0.58 47.24 M12.19 47.98 C9.08 47.17, 6.05 47.15, 0.1 47.95 M1.33 46.45 C-2.01 31.69, 0.73 18.6, -1.28 0.1 M0.99 47.82 C0.87 34.59, 0.5 20.17, 0.72 -0.77" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(131.76635098482893 131.6760773137375) rotate(0 6.272740019435616 23.751122763583197)"><path d="M0.17 0.5 L12.96 0.57 L11.68 46.35 L0.76 46.78" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M-0.81 0.4 C3.22 0.21, 4.93 -0.74, 13.72 1.2 M0.24 -0.31 C4.23 -0.37, 7.64 0.68, 12.79 0.63 M12.8 -1.91 C13.87 11.95, 11.3 25.43, 13.33 47.6 M12.03 0.55 C12.82 15.44, 11.97 31.66, 12.69 47.71 M13.51 47.04 C10.09 48.43, 7.95 47.14, -0.34 47.32 M12.5 47.21 C9.5 47.29, 5.88 48.05, 0.11 47.76 M-1.82 46.79 C0.61 33.09, -1.59 16.18, -0.27 -0.03 M0.86 48.21 C0.02 32.28, 0.25 16.48, 0.17 0.41" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(28.8748074605719 131.6760773137375) rotate(0 49.636256042456864 23.751122763583197)"><path d="M0.41 0.57 L98.41 -1.15 L100.03 46.78 L1.7 48.66" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M0.96 0.29 C26.68 -1.54, 56.2 1.59, 99.76 -1.35 M0.26 -0.78 C19.55 1.38, 41.09 1.49, 99.05 -0.58 M100.87 -1.23 C98.36 17.94, 100.11 37.84, 99.75 48.17 M99.39 0.04 C98.29 16.24, 99.17 30.93, 98.34 48.31 M99.49 49.13 C77.97 46.71, 54.26 46.84, -0.61 46.36 M99.81 47.01 C62.09 47.75, 24.75 47.44, 0.31 48.17 M0.92 48.8 C-0.85 35.84, 0.17 23.95, 0.37 1.98 M0.49 47.41 C0.31 30.99, -0.24 16.43, 0.09 0.25" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(41.17258648338043 150.22063030775638) rotate(0 18.175183264431894 3.6999733220387157)"><path d="M-0.86 -1.15 L37.11 -0.72 L38.05 8.56 L-1.94 5.93" stroke="none" stroke-width="0" fill="white"></path><path d="M-0.49 -1.23 C13.94 1.86, 24.64 -1.4, 34.45 0.76 M-0.8 0.89 C9.49 1.28, 17.99 -0.29, 37.32 0.13 M35.99 -0.34 C36.7 1.55, 36.59 3.28, 36.52 7.02 M36.08 0.32 C36.41 2.7, 36.01 5.56, 36.07 7.68 M37.28 6.98 C26.23 7.4, 16.6 6.56, 1.53 7.24 M36.52 8.12 C27.32 7.63, 18.24 7.88, -0.52 6.49 M-0.47 7.44 C-0.13 5.43, 0.1 4.22, 0.23 0.64 M0.27 7.12 C0.02 4.81, 0 2.01, 0.08 0.11" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(98.94523909163809 146.68776628363588) rotate(0 9.588717507960268 8.858139576394649)"><path d="M0.76 -0.72 L20.87 1.16 L17.24 16.25 L-0.63 19.15" stroke="none" stroke-width="0" fill="white"></path><path d="M1.79 1.84 C6.5 -1.17, 10.24 0.85, 18.23 0.5 M0.37 0.96 C4.03 -0.72, 9.43 -0.05, 18.26 0.77 M19.87 0.09 C19.52 4.82, 19.51 7.53, 20.16 17.93 M19.31 0.18 C18.22 6.11, 18.37 11.47, 18.85 17.81 M18.65 17.43 C11.28 16.58, 6.02 17.53, -0.9 18.76 M19.35 18.11 C14.67 18.49, 9.07 16.98, -0.34 18.16 M-0.24 17.69 C0.44 13.01, 0.67 6.31, 1.25 0.87 M0.15 18.08 C-0.05 12.79, 0.05 7.68, -0.38 -0.51" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(10 112.65338997957582) rotate(0 69.69993591308594 12.5)"><text x="69.69993591308594" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Storage</text></g><g stroke-linecap="round" transform="translate(504.80316490922235 123.0836673668619) rotate(0 5.0445556640625 5.0445556640625)"><path d="M4.29 0.13 C5.35 0.11, 7.81 -0.36, 8.72 0.48 C9.62 1.31, 9.54 4.02, 9.73 5.14 C9.92 6.26, 10.51 6.31, 9.87 7.21 C9.22 8.11, 6.98 10.02, 5.86 10.53 C4.75 11.03, 3.98 10.64, 3.18 10.26 C2.38 9.89, 1.51 9.16, 1.06 8.27 C0.6 7.37, 0.45 6.04, 0.45 4.89 C0.46 3.74, 0.01 2.02, 1.09 1.37 C2.17 0.71, 6.1 1.19, 6.93 0.97 C7.76 0.76, 6.13 0.13, 6.06 0.08 M6.94 -0.2 C7.97 0.03, 7.24 1.31, 7.97 2.27 C8.71 3.24, 11.32 4.45, 11.36 5.59 C11.4 6.72, 8.92 8.19, 8.22 9.09 C7.52 9.98, 8.14 10.81, 7.16 10.95 C6.18 11.08, 3.59 10.37, 2.32 9.9 C1.05 9.44, 0.12 9.25, -0.46 8.15 C-1.04 7.04, -1.68 4.26, -1.15 3.28 C-0.62 2.29, 1.65 2.69, 2.72 2.23 C3.79 1.78, 5 0.78, 5.25 0.55 C5.5 0.32, 4.24 0.73, 4.22 0.86" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M3.75 -0.92 C4.85 -1.25, 6.96 0.09, 8.02 0.78 C9.09 1.47, 9.81 2.06, 10.15 3.22 C10.49 4.37, 10.51 6.81, 10.08 7.72 C9.65 8.63, 8.8 8.27, 7.58 8.66 C6.36 9.05, 3.82 10.35, 2.77 10.06 C1.72 9.78, 1.73 7.75, 1.3 6.94 C0.86 6.14, 0.25 6.03, 0.19 5.24 C0.12 4.45, 0.17 3.16, 0.92 2.21 C1.66 1.26, 3.72 -0.22, 4.66 -0.46 C5.6 -0.7, 6.44 0.5, 6.55 0.77 M6.7 1.12 C7.69 1.69, 10.27 1.6, 10.96 2.69 C11.65 3.77, 11.22 6.49, 10.83 7.62 C10.44 8.76, 9.83 9.18, 8.62 9.51 C7.42 9.84, 4.73 9.62, 3.61 9.61 C2.49 9.61, 2.43 10.32, 1.9 9.48 C1.37 8.65, 0.81 5.68, 0.42 4.61 C0.03 3.54, -0.81 3.79, -0.46 3.08 C-0.11 2.37, 1.11 0.78, 2.51 0.36 C3.91 -0.07, 7.07 0.43, 7.95 0.55 C8.84 0.67, 7.86 1.13, 7.82 1.08" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(527.8698816889643 122.61128738125336) rotate(0 5.0445556640625 5.0445556640625)"><path d="M3.23 -0.16 C4.2 -0.54, 4.89 0.81, 5.94 1.12 C6.99 1.43, 9.01 0.87, 9.54 1.7 C10.08 2.53, 9.33 4.88, 9.16 6.1 C9 7.31, 9.08 8.22, 8.55 8.99 C8.02 9.77, 6.98 10.59, 5.99 10.75 C5.01 10.91, 3.72 10.65, 2.64 9.96 C1.56 9.28, -0.28 7.66, -0.5 6.66 C-0.71 5.65, 0.82 5.05, 1.37 3.92 C1.91 2.79, 2.17 0.47, 2.78 -0.14 C3.4 -0.76, 4.87 0.16, 5.05 0.23 M3.68 0.88 C4.65 0.87, 8.1 1.14, 8.96 1.76 C9.82 2.38, 8.58 3.58, 8.84 4.61 C9.1 5.64, 10.85 7.07, 10.51 7.92 C10.18 8.78, 8.07 9.24, 6.84 9.74 C5.6 10.24, 4.27 11.27, 3.1 10.92 C1.93 10.58, 0.21 8.48, -0.21 7.69 C-0.63 6.91, 0.39 7.13, 0.6 6.22 C0.82 5.32, 0.66 3.15, 1.07 2.24 C1.48 1.34, 2.57 1.01, 3.07 0.8 C3.56 0.58, 3.58 0.93, 4.01 0.95" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M7.33 0.36 C8.46 0.82, 9.38 1.34, 9.89 2.44 C10.39 3.54, 10.64 5.99, 10.37 6.96 C10.11 7.93, 9.42 7.73, 8.29 8.27 C7.16 8.81, 4.65 10.33, 3.57 10.22 C2.49 10.1, 2.37 8.27, 1.81 7.58 C1.24 6.88, 0.41 6.85, 0.17 6.06 C-0.07 5.27, -0.1 3.89, 0.38 2.83 C0.86 1.76, 1.79 -0.08, 3.07 -0.34 C4.34 -0.6, 7.23 0.94, 8.04 1.28 C8.84 1.62, 7.85 1.61, 7.9 1.72 M4.12 0.19 C5.27 -0.22, 6.24 0.96, 7.2 1.31 C8.16 1.67, 9.56 1.73, 9.89 2.34 C10.23 2.94, 9.31 3.74, 9.19 4.94 C9.07 6.13, 9.71 8.76, 9.18 9.49 C8.65 10.22, 7.39 9.17, 5.99 9.3 C4.59 9.42, 1.98 10.69, 0.8 10.25 C-0.39 9.81, -1.19 7.86, -1.14 6.66 C-1.09 5.45, 0.35 3.98, 1.11 3.03 C1.87 2.09, 3.01 1.51, 3.41 0.99 C3.82 0.47, 3.56 -0.18, 3.54 -0.09" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(550.9163283720787 122.73068071321592) rotate(0 5.0445556640625 5.0445556640625)"><path d="M5.1 1 C6.13 1.06, 8.31 0.35, 8.98 1.06 C9.66 1.77, 9.13 4.04, 9.14 5.25 C9.16 6.46, 9.47 7.44, 9.08 8.33 C8.7 9.22, 7.77 10.24, 6.82 10.58 C5.88 10.92, 4.55 10.89, 3.39 10.37 C2.22 9.85, 0.19 8.39, -0.19 7.45 C-0.57 6.51, 0.85 5.86, 1.1 4.72 C1.34 3.58, 0.42 1.38, 1.28 0.61 C2.14 -0.16, 5.48 0.26, 6.27 0.12 C7.06 -0.02, 6.19 -0.49, 6.02 -0.25 M5.97 1.04 C6.92 0.96, 6.23 1.5, 7.02 2.14 C7.81 2.77, 10.38 3.96, 10.71 4.85 C11.03 5.75, 9.72 6.56, 8.96 7.51 C8.2 8.47, 7.26 10.27, 6.16 10.58 C5.06 10.89, 3.13 9.63, 2.35 9.4 C1.57 9.16, 1.89 9.9, 1.47 9.18 C1.05 8.45, 0.03 6.23, -0.17 5.06 C-0.36 3.9, -0.45 2.88, 0.31 2.17 C1.07 1.46, 3.44 1.09, 4.39 0.81 C5.34 0.53, 5.93 0.38, 5.98 0.49" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M2.98 -0.04 C3.95 -0.45, 5.59 0.44, 6.68 0.62 C7.78 0.8, 9.12 0.23, 9.54 1.04 C9.95 1.85, 9.24 4.4, 9.17 5.48 C9.11 6.57, 9.7 6.67, 9.14 7.55 C8.58 8.43, 7.05 10.34, 5.81 10.75 C4.56 11.17, 2.75 10.83, 1.68 10.05 C0.62 9.26, -0.42 7.1, -0.58 6.03 C-0.73 4.95, 0.18 4.42, 0.76 3.59 C1.33 2.77, 2.32 1.48, 2.89 1.07 C3.45 0.67, 4.26 1.26, 4.16 1.17 M6.99 1.27 C7.92 1.51, 9.4 1.59, 9.76 2.17 C10.13 2.75, 9.28 3.53, 9.2 4.72 C9.13 5.92, 9.82 8.58, 9.32 9.33 C8.82 10.09, 7.59 9.1, 6.2 9.27 C4.81 9.44, 2.19 10.77, 0.97 10.37 C-0.24 9.96, -1.08 8.05, -1.07 6.86 C-1.07 5.67, 0.31 4.19, 1.03 3.23 C1.74 2.27, 2.27 1.72, 3.22 1.09 C4.17 0.45, 6.21 -0.54, 6.72 -0.6 C7.23 -0.66, 6.41 0.46, 6.28 0.73" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(509.44422843981795 82.30456801184101) rotate(0 -16.512606841156696 11.839726939642162)" fill-rule="evenodd"><path d="M-0.02 1.29 L-35.58 33.73 L-34.51 12.19 L-12.75 -12.51 L1.4 -1.25" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.08 -0.34 C-13.18 12.1, -25.93 27.82, -32.99 32.67 M-0.94 0.16 C-6.33 6.77, -13.33 13.81, -34.38 34.97 M-32.07 36.08 C-35.6 25.7, -32.87 20.05, -34.04 12.79 M-34.49 34.32 C-33.58 26.53, -33.53 16.67, -34.57 12.21 M-33.57 12.32 C-28.35 7.48, -25.24 2.07, -10.78 -11.49 M-33.47 11.97 C-26.86 3.9, -17.95 -2.89, -11.83 -12.4 M-10.87 -10.36 C-6.58 -6.08, -4.04 -2.65, 1.54 1.44 M-11.41 -11.35 C-9.33 -9.26, -5.64 -6.6, -0.33 0.45 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(475.2826729798886 151.23087382133514) rotate(180 16.940955952376385 10.961993604743213)" fill-rule="evenodd"><path d="M-1.68 -0.9 L33 35.27 L32.34 10.5 L12.88 -12.73 L-1.27 -0.38" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.43 -1.16 C7.99 8.18, 14.91 12.38, 32.08 34.95 M0.7 -0.61 C12.04 10.98, 22.36 23.96, 34.43 34.52 M32.08 33.86 C34.38 27.96, 33.05 19.1, 35.16 12.57 M34.23 35.25 C34.22 26.77, 32.89 20.62, 32.72 11.67 M34.24 12.43 C25.03 4.02, 19.03 -4.27, 12.01 -13.33 M32.92 11.25 C29.57 6.88, 23.24 0.32, 12.22 -11.63 M12.09 -10.32 C6.39 -7.12, 5.09 -1.98, -1.28 -0.59 M11.14 -11.72 C8.12 -7.4, 2.8 -2.66, 0.7 0.55 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(492.6318627975271 99.3277988467176) rotate(0 -8.441307970180105 29.120747538950468)" fill-rule="evenodd"><path d="M-0.9 0.65 L-1.55 56.28 L-15.51 40.75 L-17.95 16.87 L-0.52 1.51" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.98 0.98 C0.95 14.27, -1.86 32.77, 0.55 55.41 M0.78 -0.79 C-0.17 18.46, 0.75 36.12, 0.35 58.22 M0.52 59.03 C-6.77 52.8, -10.99 46.86, -16.56 40.82 M-0.01 56.79 C-5.78 53.95, -10.21 49.28, -16.46 42.02 M-17.85 42.34 C-16.21 33.59, -16.3 23.36, -18.16 17.52 M-15.93 42.44 C-17.01 32.57, -15.83 24.82, -16.2 17.63 M-18.09 17.61 C-8.69 12.53, -6.01 3.67, 1.28 0.17 M-15.68 17.11 C-11.74 12.4, -5.21 7.09, -0.65 0.79 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(555.8149084578951 81.89699402322782) rotate(0 17.074893184650932 11.57639393148321)" fill-rule="evenodd"><path d="M-1.27 -1.03 L35.3 33.37 L32.34 11.15 L10.96 -9.97 L1.22 -0.09" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.91 -1.96 C6.55 8.53, 17.4 14.69, 34.22 36.02 M-0.48 0.35 C8.92 8.46, 17.14 17.77, 34.63 33.71 M33.47 35.88 C35.29 29.61, 34.01 21.36, 33.01 12.2 M32.94 35.3 C32.84 26.37, 34.08 17.86, 34 11.85 M34.31 11.52 C26.62 1.79, 16.97 -4.03, 12.36 -12.87 M33.26 10.62 C28.11 5.22, 21.83 -0.5, 12.17 -11.1 M13.02 -10.04 C5.85 -7.79, 3.91 -2.79, 0.26 -0.68 M11.15 -11.03 C9.19 -7.85, 4.87 -4.66, 0.42 0.56 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(590.7051657242506 150.14023726647162) rotate(180 -17.290272033021097 11.997312977754802)" fill-rule="evenodd"><path d="M1.4 -1.25 L-35.17 34.24 L-34.13 13.04 L-10.26 -11.57 L0.06 -0.78" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-1.82 0.32 C-10.84 9.86, -23.18 25.22, -35.11 36.18 M0.53 -0.1 C-7.01 8.67, -14.4 14.49, -34.28 35.02 M-32.34 35.65 C-33.38 24.52, -34.22 17.43, -32.34 12.08 M-34.79 34.76 C-33.16 28.89, -33.14 23.43, -33.16 11.07 M-33.08 9.68 C-28.15 4.5, -18.77 -4.45, -12.04 -9.51 M-32.86 11.38 C-25.43 4.18, -17.59 -3.74, -10.77 -12.18 M-12.76 -12.07 C-6.68 -7.79, -3.82 -4.97, -0.49 1.61 M-10.78 -10.93 C-8.78 -7.63, -4.56 -4.43, -0.34 0.15 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(572.8727217361662 99.28802537440339) rotate(0 8.304225720097065 27.717230143692518)" fill-rule="evenodd"><path d="M-1.27 -0.38 L-0.24 58.81 L18.14 41.91 L16.74 16.48 L-1.72 0.05" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.83 -1.89 C-0.14 12.98, -1.62 24.73, -1.3 56.35 M0.63 0.92 C1.13 18.28, 0.11 38.79, 1.15 57.09 M0.64 56.13 C5.6 52.32, 13.51 46.65, 15.9 40.08 M0.73 57.32 C6.93 51.97, 13.1 45.55, 17.09 42.35 M15.43 42.27 C17.66 33.2, 16.14 29.14, 17.57 16.56 M17.39 42.38 C17.37 37.23, 17.34 30.99, 16.86 18.2 M17.96 17.43 C10.65 9.65, 3.25 5.78, -0.29 -0.81 M16.02 18.04 C11.12 11.94, 4.27 5.3, -0.64 0.62 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(462.6885986328126 109.12213997957582) rotate(0 75.56993103027344 12.5)"><text x="75.56993103027344" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Functions</text></g><g stroke-linecap="round" transform="translate(307.7786102294923 72.85105233309145) rotate(0 3.92926025390625 22.525543212890625)"><path d="M1.09 -1.08 L6.11 -1.05 L7.09 46.34 L-1.8 46.87" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.26 0.49 C2.57 -0.8, 4.83 -0.72, 7.3 -0.02 M0.23 0.03 C2.18 0.27, 4.18 -0.2, 7.99 -0.06 M6.63 1.8 C6.15 18.04, 8.48 33.52, 8.19 43.56 M8.76 -0.65 C7.15 10.49, 7.46 22.48, 8.16 45.62 M8.5 45.77 C5.59 45.61, 4.51 45.32, 0.15 45.14 M8.15 44.67 C6.57 44.7, 4.57 44.9, -0.02 45.43 M-0.87 46.59 C-1.04 28.38, -0.14 15.56, -1.79 1.91 M-0.6 44.95 C-0.74 32.31, 0.17 18.34, 0.86 0.13" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(331.65489196777355 113.43604378816957) rotate(119.99999999999997 3.92926025390625 22.525543212890625)"><path d="M-1.75 -1.05 L7.09 1.29 L6.06 46.87 L0.78 46.13" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.43 -0.77 C3.24 -0.74, 4.82 -0.07, 7.73 -0.17 M-0.05 0.24 C1.87 -0.23, 4.41 -0.06, 8.18 0.15 M5.98 0.83 C8.03 16.02, 7.91 32.37, 6.83 44.87 M7.19 -0.72 C7.9 13.4, 8.56 27.22, 7.29 46.05 M7.5 45.65 C6.37 45.43, 4.09 45.22, -0.71 45.72 M8.22 44.74 C5.87 44.86, 3.85 45.35, 0.18 45.07 M-1.03 43.96 C0.08 29.17, -1.6 11.86, 0.07 1.39 M-0.43 45.98 C0.75 29.85, 1.13 13.5, 0.55 -0.54" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(283.24827575683605 114.99292855379502) rotate(239.99999999999994 3.92926025390625 22.525543212890625)"><path d="M-0.77 1.29 L6.06 1.82 L8.64 46.13 L1.38 44.95" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M0.55 -0.69 C2.3 0.06, 5.57 -0.09, 7.64 0.46 M-0.27 -0.23 C2.56 -0.1, 5.17 0.1, 8.16 -0.24 M8.31 -0.91 C7.77 16.08, 6.41 34.96, 7.77 46.85 M7.5 0.07 C7.85 11.15, 6.99 22.17, 7.35 45.87 M8.33 45.36 C4.93 45.2, 0.99 45.78, -0.37 45.64 M7.87 44.94 C6.24 45.36, 4.85 45, 0.35 44.88 M-0.12 46.72 C-1.56 29.97, 0.3 12.46, 1.03 -1.19 M0.48 45.69 C1.06 32.14, 0.74 18.43, -0.87 -0.52" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(298.1951141357423 58.696511317466445) rotate(0 13.193115234375 13.193115234375)"><path d="M15.76 1.12 C18.32 1.32, 21.48 2.46, 23.23 4.73 C24.99 7, 26.53 11.67, 26.31 14.75 C26.09 17.82, 23.84 21.13, 21.93 23.17 C20.01 25.21, 17.38 26.91, 14.81 26.99 C12.24 27.07, 8.89 25.38, 6.5 23.65 C4.11 21.91, 1.21 19.12, 0.46 16.6 C-0.29 14.07, 0.76 10.88, 1.99 8.5 C3.22 6.11, 5 3.38, 7.87 2.29 C10.74 1.19, 17.03 1.91, 19.21 1.93 C21.39 1.95, 21.15 2.35, 20.94 2.39 M17.95 1.48 C20.95 1.93, 24.27 3.79, 25.47 6.21 C26.66 8.63, 25.69 13.01, 25.1 15.99 C24.51 18.97, 24.04 22.3, 21.91 24.1 C19.79 25.9, 15.12 26.68, 12.35 26.78 C9.58 26.89, 7.07 26.52, 5.31 24.75 C3.54 22.97, 2.16 18.98, 1.74 16.15 C1.32 13.32, 1.71 10.53, 2.81 7.76 C3.9 4.98, 5.78 0.74, 8.3 -0.5 C10.82 -1.73, 16.63 -0.04, 17.93 0.33 C19.24 0.71, 16.37 1.28, 16.13 1.76" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M12.76 0.59 C15.49 0.4, 19.31 1.29, 21.64 2.87 C23.98 4.45, 26.36 7.22, 26.78 10.07 C27.19 12.93, 25.63 17.28, 24.12 20 C22.61 22.71, 20.19 25.29, 17.71 26.36 C15.22 27.43, 11.95 27.32, 9.2 26.4 C6.46 25.48, 2.89 23.31, 1.23 20.82 C-0.43 18.33, -1.36 14.48, -0.76 11.47 C-0.16 8.45, 2.38 4.76, 4.82 2.73 C7.27 0.7, 12.39 -0.32, 13.89 -0.73 C15.4 -1.15, 13.92 -0.26, 13.88 0.23 M8.44 0.8 C11.17 0.11, 15.87 0.5, 18.45 1.76 C21.03 3.02, 22.77 5.82, 23.92 8.37 C25.08 10.91, 25.56 14.61, 25.37 17.02 C25.18 19.42, 24.7 21.1, 22.81 22.81 C20.91 24.52, 16.98 27.19, 14.02 27.29 C11.07 27.39, 7.35 25.63, 5.07 23.39 C2.78 21.14, 0.64 16.78, 0.33 13.82 C0.02 10.86, 1.57 8.06, 3.2 5.63 C4.83 3.2, 8.89 0.21, 10.1 -0.77 C11.31 -1.75, 10.55 -0.62, 10.44 -0.24" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(343.2478485107423 133.1731348526227) rotate(0 13.193115234375 13.193115234375)"><path d="M18.4 0.76 C20.95 1.78, 24.05 5.77, 25.15 8.59 C26.26 11.42, 25.75 15.01, 25 17.71 C24.25 20.41, 22.77 23.45, 20.67 24.78 C18.57 26.12, 15.24 26.19, 12.41 25.73 C9.57 25.26, 5.56 23.83, 3.65 21.99 C1.74 20.14, 1.06 17.28, 0.97 14.67 C0.88 12.07, 1.6 8.65, 3.11 6.36 C4.63 4.08, 7.19 1.76, 10.06 0.96 C12.92 0.16, 18.32 1.11, 20.28 1.56 C22.24 2.01, 21.74 3.49, 21.81 3.67 M20.02 1.27 C22.22 2.3, 23.14 5.93, 24.11 8.7 C25.07 11.47, 26.63 15.24, 25.83 17.88 C25.04 20.52, 21.64 22.93, 19.35 24.54 C17.07 26.15, 14.48 27.84, 12.11 27.53 C9.75 27.22, 6.98 24.76, 5.17 22.66 C3.35 20.56, 1.69 18.05, 1.25 14.94 C0.8 11.83, 0.93 6.49, 2.49 4.01 C4.04 1.53, 8.03 0.35, 10.58 0.04 C13.14 -0.26, 16.53 1.71, 17.84 2.17 C19.14 2.64, 18.18 2.66, 18.39 2.85" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M11.88 -0.04 C14.69 -0.71, 18.94 -0.09, 21.18 1.57 C23.41 3.22, 24.64 6.91, 25.29 9.88 C25.95 12.85, 26.1 16.71, 25.11 19.37 C24.12 22.02, 21.99 24.55, 19.37 25.8 C16.75 27.06, 12.36 27.64, 9.4 26.9 C6.44 26.16, 3.11 23.89, 1.59 21.38 C0.07 18.86, -0.12 14.84, 0.26 11.83 C0.63 8.82, 1.75 5.28, 3.86 3.3 C5.96 1.31, 11.04 0.25, 12.88 -0.09 C14.72 -0.42, 14.93 1.16, 14.91 1.29 M9.02 1.69 C11.42 0.82, 14.28 1.25, 16.74 2.25 C19.21 3.26, 21.99 5.65, 23.8 7.72 C25.61 9.79, 27.73 11.94, 27.58 14.68 C27.43 17.41, 25.19 22.13, 22.91 24.13 C20.63 26.13, 16.89 27.03, 13.91 26.68 C10.92 26.33, 7.05 23.98, 4.98 22.02 C2.91 20.06, 1.85 17.7, 1.49 14.91 C1.13 12.11, 1.42 7.78, 2.83 5.24 C4.24 2.7, 8.97 0.42, 9.95 -0.35 C10.93 -1.11, 8.86 0.01, 8.69 0.65" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(254.5548553466798 136.0289698135602) rotate(0 13.193115234375 13.193115234375)"><path d="M18.09 1.8 C20.58 2.91, 22.62 5.5, 23.96 7.97 C25.29 10.45, 26.49 14.14, 26.13 16.65 C25.77 19.16, 24.07 21.46, 21.82 23.01 C19.56 24.56, 15.36 25.87, 12.61 25.95 C9.85 26.03, 7.25 25.15, 5.28 23.47 C3.31 21.79, 1.29 18.66, 0.76 15.87 C0.24 13.08, 0.84 9.42, 2.14 6.73 C3.45 4.05, 5.78 0.68, 8.6 -0.23 C11.42 -1.14, 16.93 0.93, 19.07 1.27 C21.21 1.62, 21.29 1.5, 21.43 1.83 M15.55 1.34 C18 2.07, 22.42 4.49, 24.01 6.74 C25.61 8.99, 25.33 11.99, 25.12 14.84 C24.92 17.68, 24.34 21.83, 22.77 23.8 C21.2 25.77, 18.39 26.49, 15.73 26.65 C13.06 26.82, 9.33 26.72, 6.77 24.79 C4.21 22.87, 1.21 18.03, 0.39 15.1 C-0.43 12.17, 0.82 9.37, 1.84 7.19 C2.87 5.01, 4.15 2.94, 6.55 2.03 C8.94 1.12, 14.42 1.83, 16.22 1.75 C18.02 1.66, 17.16 1.59, 17.35 1.53" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M17.63 -0.11 C20.14 0.58, 22.24 3.7, 23.66 6.31 C25.08 8.93, 26.33 12.71, 26.15 15.58 C25.97 18.46, 24.74 21.62, 22.6 23.57 C20.46 25.52, 16.35 27.17, 13.31 27.27 C10.27 27.37, 6.47 26.09, 4.35 24.17 C2.22 22.25, 1.03 18.69, 0.57 15.74 C0.11 12.8, 0.43 8.96, 1.59 6.5 C2.74 4.03, 4.71 1.74, 7.49 0.97 C10.26 0.21, 16.37 1.89, 18.24 1.92 C20.11 1.95, 18.92 1.17, 18.72 1.16 M12.83 1.51 C15.32 1.5, 18.82 3.1, 21.28 4.63 C23.75 6.16, 26.93 7.95, 27.64 10.69 C28.34 13.44, 27.15 18.56, 25.51 21.11 C23.88 23.67, 20.69 25.55, 17.84 26.04 C14.99 26.53, 10.91 25.29, 8.4 24.06 C5.9 22.83, 3.97 21.18, 2.8 18.67 C1.64 16.15, 0.81 11.81, 1.42 8.96 C2.03 6.12, 4.42 3.16, 6.47 1.6 C8.52 0.03, 12.52 -0.45, 13.71 -0.43 C14.89 -0.41, 13.48 1.4, 13.58 1.7" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(294.9083709716798 106.1113672744977) rotate(0 16.6341552734375 16.6341552734375)"><path d="M11.27 1.57 C14.49 0.43, 20.06 0.97, 23.54 2.18 C27.02 3.4, 30.64 5.83, 32.15 8.85 C33.67 11.88, 33.46 16.72, 32.64 20.35 C31.82 23.98, 30.02 28.36, 27.25 30.64 C24.47 32.93, 19.68 34.35, 15.99 34.08 C12.31 33.82, 7.87 31.85, 5.12 29.06 C2.38 26.28, 0 21.08, -0.46 17.38 C-0.92 13.68, -0.11 9.86, 2.39 6.85 C4.88 3.84, 12.16 0.35, 14.52 -0.67 C16.88 -1.69, 16.52 0.21, 16.55 0.75 M16.18 1.04 C19.55 0.67, 22.95 1.78, 25.8 4.03 C28.64 6.28, 32.1 11.07, 33.25 14.55 C34.4 18.03, 34.27 21.83, 32.72 24.9 C31.16 27.96, 27.5 31.94, 23.93 32.96 C20.36 33.97, 14.79 32.32, 11.3 30.98 C7.82 29.65, 5.06 27.63, 3.01 24.97 C0.97 22.3, -1.32 18.25, -0.97 14.99 C-0.61 11.74, 2.16 7.8, 5.15 5.44 C8.13 3.08, 14.93 1.71, 16.94 0.81 C18.95 -0.09, 17.54 -0.1, 17.21 0.02" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M15.09 0.37 C18.33 0.21, 23.4 1.91, 26.42 4.11 C29.44 6.31, 32.45 10.07, 33.2 13.55 C33.94 17.03, 32.7 21.87, 30.88 25 C29.07 28.12, 25.42 31.14, 22.29 32.32 C19.16 33.51, 15.32 33.33, 12.09 32.11 C8.86 30.9, 4.99 27.95, 2.9 25.03 C0.82 22.12, -0.78 17.88, -0.4 14.62 C-0.02 11.35, 2.1 7.97, 5.17 5.44 C8.25 2.91, 15.43 0.24, 18.03 -0.55 C20.64 -1.33, 20.74 0.29, 20.82 0.73 M20.55 1.89 C24.23 2.27, 29.55 3.8, 31.85 6.72 C34.14 9.63, 34.83 15.66, 34.31 19.37 C33.79 23.07, 31.46 26.87, 28.72 28.95 C25.98 31.04, 21.33 31.81, 17.89 31.88 C14.44 31.94, 10.77 31.47, 8.06 29.34 C5.34 27.22, 2.42 22.66, 1.6 19.11 C0.77 15.57, 1.71 11.11, 3.1 8.08 C4.5 5.06, 6.96 1.96, 9.98 0.97 C13 -0.03, 19.23 2.08, 21.21 2.1 C23.2 2.11, 21.74 1.13, 21.9 1.05" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(344.5131072998048 87.3613672744977) rotate(0 10.654296875 10.654296875)"><path d="M15 1.61 C17.28 2.1, 19.76 3.51, 20.74 5.37 C21.72 7.23, 21.37 10.39, 20.89 12.79 C20.41 15.18, 19.58 18.19, 17.86 19.75 C16.14 21.31, 12.98 22.29, 10.57 22.15 C8.16 22, 5.24 20.75, 3.4 18.88 C1.56 17.01, -0.13 13.34, -0.48 10.92 C-0.83 8.49, -0.18 6.23, 1.28 4.33 C2.75 2.43, 5.74 -0.06, 8.34 -0.48 C10.94 -0.9, 15.39 1.25, 16.89 1.82 C18.39 2.38, 17.59 2.95, 17.34 2.91 M12.47 0.84 C14.65 1.36, 18.14 4.1, 19.85 5.99 C21.56 7.88, 22.82 9.96, 22.71 12.17 C22.6 14.37, 21.11 17.94, 19.21 19.22 C17.3 20.51, 13.65 19.93, 11.27 19.87 C8.88 19.81, 6.91 19.86, 4.89 18.88 C2.87 17.89, -0.15 15.93, -0.86 13.98 C-1.56 12.03, -0.69 9.22, 0.64 7.18 C1.97 5.13, 4.79 2.87, 7.13 1.69 C9.47 0.51, 13.8 0.32, 14.66 0.12 C15.52 -0.08, 12.67 0.48, 12.31 0.49" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M6.97 1.43 C9.12 0.65, 12.71 0.62, 14.77 1.44 C16.83 2.25, 18.41 4.39, 19.32 6.32 C20.22 8.25, 20.47 11, 20.19 13.02 C19.91 15.04, 19.23 17.17, 17.65 18.43 C16.07 19.68, 13.12 20.53, 10.72 20.56 C8.31 20.6, 4.98 19.87, 3.21 18.66 C1.44 17.45, 0.5 15.65, 0.1 13.3 C-0.3 10.95, -0.55 6.82, 0.83 4.57 C2.21 2.31, 6.66 0.42, 8.4 -0.25 C10.14 -0.92, 11.01 0.38, 11.25 0.52 M17.13 0.61 C19.42 1.48, 21.02 5.39, 21.72 7.68 C22.42 9.97, 22.23 12.56, 21.34 14.35 C20.45 16.13, 18.22 17.37, 16.38 18.39 C14.55 19.42, 12.43 20.85, 10.33 20.49 C8.23 20.13, 5.28 18.03, 3.79 16.24 C2.3 14.44, 1.62 11.84, 1.38 9.73 C1.15 7.62, 1.18 4.92, 2.36 3.57 C3.54 2.22, 6.11 2.01, 8.46 1.64 C10.81 1.27, 15.02 1.49, 16.44 1.36 C17.87 1.23, 17 0.82, 17 0.84" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(257.4748992919923 86.04514412996645) rotate(0 10.654296875 10.654296875)"><path d="M16.07 0.6 C18.03 1.29, 19.44 3.84, 20.38 6.13 C21.33 8.42, 22.31 11.93, 21.75 14.32 C21.19 16.71, 19.09 19.25, 17.04 20.49 C14.98 21.73, 11.88 22.35, 9.42 21.77 C6.96 21.18, 3.93 18.83, 2.28 17 C0.62 15.16, -0.61 13.04, -0.51 10.76 C-0.42 8.47, 1.21 4.97, 2.83 3.29 C4.46 1.6, 6.95 0.84, 9.24 0.65 C11.52 0.46, 15.38 2.06, 16.56 2.14 C17.74 2.22, 16.4 1.11, 16.31 1.15 M14.58 1.85 C17.11 2.44, 20.04 3.7, 21.34 5.61 C22.63 7.52, 23.01 11.35, 22.37 13.32 C21.73 15.28, 19.34 16.1, 17.49 17.38 C15.64 18.65, 13.72 20.58, 11.26 20.96 C8.79 21.35, 4.61 20.86, 2.68 19.67 C0.75 18.48, -0.22 16.06, -0.31 13.81 C-0.4 11.56, 0.76 8.41, 2.14 6.16 C3.52 3.91, 6.16 1.28, 7.96 0.33 C9.77 -0.62, 12.07 0.61, 12.96 0.48 C13.85 0.35, 13.34 -0.55, 13.31 -0.45" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M12.83 0.91 C14.91 1.16, 16.91 2.98, 18.16 4.66 C19.42 6.35, 20.22 8.96, 20.37 11.02 C20.52 13.07, 20.35 15.44, 19.08 17 C17.8 18.57, 15.09 19.93, 12.72 20.39 C10.35 20.86, 6.88 20.68, 4.86 19.82 C2.84 18.96, 1.43 17.49, 0.62 15.25 C-0.2 13.01, -0.68 8.75, -0.03 6.39 C0.63 4.03, 2.36 2.06, 4.56 1.09 C6.77 0.13, 11.57 0.75, 13.19 0.59 C14.81 0.42, 14.17 0.07, 14.29 0.11 M16.03 1.78 C17.94 2.68, 19.91 4.51, 20.77 6.17 C21.63 7.84, 21.61 9.71, 21.2 11.76 C20.78 13.82, 19.95 17.16, 18.28 18.51 C16.61 19.85, 13.41 20.04, 11.15 19.83 C8.89 19.61, 6.56 18.61, 4.72 17.22 C2.88 15.82, 0.61 13.28, 0.1 11.45 C-0.41 9.61, 0.3 8.05, 1.67 6.22 C3.03 4.4, 5.87 1.5, 8.29 0.5 C10.72 -0.5, 14.95 0.26, 16.23 0.23 C17.5 0.19, 16.38 0.04, 15.95 0.3" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(301.0149383544923 161.7938623916852) rotate(0 10.654296875 10.654296875)"><path d="M14.18 0.21 C16.33 1, 19.53 3.61, 20.8 5.8 C22.07 7.99, 22.31 11.09, 21.79 13.35 C21.26 15.61, 19.59 18.17, 17.64 19.35 C15.7 20.53, 12.52 20.59, 10.13 20.44 C7.74 20.28, 4.85 19.91, 3.29 18.44 C1.74 16.97, 0.97 13.74, 0.81 11.62 C0.65 9.5, 1.21 7.45, 2.33 5.73 C3.45 4.02, 5.23 2.16, 7.53 1.34 C9.83 0.51, 14.32 0.51, 16.11 0.77 C17.89 1.03, 18.22 2.76, 18.25 2.9 M13.55 0.41 C15.87 0.5, 18.47 2.93, 19.75 4.33 C21.04 5.73, 21.28 6.72, 21.26 8.81 C21.25 10.89, 21.24 14.65, 19.65 16.83 C18.07 19.01, 14.18 21.14, 11.77 21.9 C9.37 22.65, 6.93 22.43, 5.22 21.36 C3.51 20.3, 2.14 17.88, 1.52 15.5 C0.9 13.12, 1.13 9.43, 1.49 7.09 C1.84 4.76, 2.03 2.87, 3.65 1.49 C5.27 0.11, 9.99 -0.9, 11.2 -1.19 C12.41 -1.48, 10.98 -0.43, 10.91 -0.27" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M14.29 1.79 C16.11 2.47, 18.09 4.5, 19.25 6.32 C20.41 8.14, 21.59 10.66, 21.24 12.69 C20.89 14.72, 19.11 17.06, 17.15 18.48 C15.2 19.9, 11.8 21.06, 9.49 21.2 C7.17 21.33, 4.95 20.95, 3.27 19.28 C1.6 17.61, -0.21 13.66, -0.58 11.18 C-0.95 8.71, -0.33 6.15, 1.06 4.41 C2.44 2.67, 5.08 1.3, 7.71 0.74 C10.33 0.17, 15.03 0.78, 16.8 1.01 C18.56 1.23, 18.35 1.7, 18.3 2.1 M8.82 0.57 C10.74 -0.43, 13.49 -1.07, 15.64 -0.21 C17.79 0.66, 20.66 3.69, 21.72 5.77 C22.78 7.85, 22.62 10.18, 21.98 12.28 C21.33 14.38, 19.96 16.97, 17.86 18.39 C15.77 19.81, 11.92 20.63, 9.41 20.8 C6.9 20.96, 4.24 20.95, 2.79 19.37 C1.34 17.79, 0.59 13.92, 0.7 11.3 C0.82 8.67, 2.03 5.58, 3.47 3.62 C4.92 1.65, 8.72 0.05, 9.39 -0.49 C10.05 -1.03, 7.41 0.32, 7.46 0.4" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g transform="translate(282.38450622558605 111.01667122957582) rotate(0 34.2099609375 12.5)"><text x="34.2099609375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">PubSub</text></g><g stroke-linecap="round" transform="translate(337.9085649748523 281.2289553592056) rotate(0 4.314891930782551 4.314891930782551)"><path d="M2.74 0.93 C3.57 0.62, 5.42 0.19, 6.3 0.52 C7.17 0.84, 7.58 2.14, 8 2.86 C8.42 3.59, 8.91 3.9, 8.81 4.86 C8.72 5.83, 8.24 7.95, 7.45 8.65 C6.65 9.36, 5.2 9.17, 4.05 9.08 C2.91 8.98, 1.29 8.64, 0.57 8.08 C-0.15 7.53, -0.36 6.78, -0.26 5.75 C-0.17 4.72, 0.47 2.83, 1.16 1.9 C1.84 0.96, 3.28 0.46, 3.84 0.14 C4.4 -0.19, 4.37 -0.01, 4.52 -0.05 M1.57 1.55 C2.05 0.85, 3.46 -0.53, 4.51 -0.63 C5.56 -0.74, 7.05 0.14, 7.88 0.91 C8.71 1.68, 9.82 2.89, 9.47 3.99 C9.12 5.1, 6.7 6.76, 5.8 7.54 C4.9 8.32, 4.68 8.71, 4.05 8.68 C3.42 8.64, 2.8 7.79, 2 7.34 C1.19 6.88, -0.57 6.97, -0.8 5.95 C-1.02 4.93, -0.18 2.03, 0.65 1.23 C1.48 0.43, 3.97 1.11, 4.18 1.13 C4.39 1.16, 2.28 1.52, 1.91 1.37" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M4.49 0.26 C5.34 0.33, 5.5 0.88, 6.08 1.37 C6.65 1.86, 7.45 2.35, 7.94 3.2 C8.43 4.05, 9.39 5.7, 9 6.45 C8.61 7.2, 6.59 7.29, 5.6 7.68 C4.62 8.08, 4.03 8.87, 3.1 8.81 C2.16 8.75, 0.35 8.27, -0.01 7.34 C-0.37 6.41, 0.78 4.39, 0.95 3.23 C1.11 2.07, 0.15 0.76, 0.98 0.36 C1.81 -0.05, 5.16 0.66, 5.94 0.79 C6.72 0.92, 5.79 1.03, 5.65 1.13 M4.88 -0.7 C5.66 -1.07, 5.98 -0.49, 6.54 0.25 C7.11 0.99, 7.77 2.98, 8.28 3.74 C8.79 4.5, 9.91 4.05, 9.61 4.83 C9.3 5.62, 7.58 7.84, 6.48 8.45 C5.37 9.06, 4.03 8.69, 2.95 8.47 C1.87 8.26, 0.39 8.14, -0.01 7.19 C-0.41 6.24, 0.33 3.65, 0.57 2.76 C0.81 1.88, 0.75 2.24, 1.44 1.87 C2.14 1.49, 4.19 1.05, 4.75 0.52 C5.31 -0.02, 4.91 -1.34, 4.8 -1.34" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(358.2339101009179 266.1261689193679) rotate(0 4.314891930782551 4.314891930782551)"><path d="M4.96 0.19 C5.87 0.17, 6.53 1.21, 7.18 1.76 C7.84 2.31, 8.7 2.51, 8.9 3.49 C9.1 4.48, 8.97 6.75, 8.39 7.66 C7.81 8.57, 6.53 8.73, 5.42 8.93 C4.31 9.12, 2.6 9.15, 1.71 8.84 C0.83 8.54, 0.31 8.02, 0.12 7.07 C-0.06 6.12, 0.38 4.18, 0.6 3.16 C0.82 2.13, 0.81 1.49, 1.44 0.94 C2.06 0.38, 3.56 0.02, 4.35 -0.18 C5.15 -0.37, 6.19 -0.42, 6.19 -0.22 M4.72 -0.56 C5.74 -0.69, 7.21 0.31, 8 1.11 C8.78 1.9, 9.83 3.12, 9.43 4.22 C9.04 5.31, 6.56 6.94, 5.63 7.68 C4.69 8.43, 4.46 8.76, 3.82 8.68 C3.19 8.6, 2.6 7.69, 1.82 7.19 C1.04 6.7, -0.66 6.75, -0.84 5.73 C-1.01 4.7, -0.11 1.81, 0.77 1.03 C1.64 0.25, 3.68 1.02, 4.4 1.05 C5.11 1.09, 4.96 1.45, 5.05 1.26 C5.14 1.06, 4.8 -0.04, 4.94 -0.14" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M2.42 0.51 C3.12 0.17, 4.56 -0.18, 5.7 0.19 C6.83 0.55, 8.8 1.91, 9.21 2.7 C9.63 3.49, 8.58 4.01, 8.18 4.95 C7.78 5.9, 7.67 7.63, 6.83 8.37 C5.98 9.11, 3.93 9.66, 3.13 9.4 C2.33 9.14, 2.63 7.76, 2.03 6.83 C1.42 5.89, -0.43 4.55, -0.51 3.81 C-0.58 3.07, 0.98 2.9, 1.58 2.38 C2.19 1.86, 2.74 0.9, 3.12 0.67 C3.49 0.45, 3.76 1.02, 3.84 1 M5.32 -0.41 C6.01 0, 6.98 1.8, 7.77 2.45 C8.55 3.1, 10.06 2.64, 10.04 3.52 C10.02 4.4, 8.61 6.86, 7.66 7.72 C6.7 8.58, 5.45 8.59, 4.32 8.68 C3.2 8.76, 1.53 8.98, 0.91 8.22 C0.29 7.47, 0.66 5.03, 0.61 4.15 C0.56 3.27, 0.12 3.51, 0.58 2.95 C1.05 2.4, 2.43 1.49, 3.39 0.8 C4.36 0.11, 6.02 -1.12, 6.39 -1.19 C6.77 -1.25, 5.63 -0.08, 5.64 0.43" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(378.53756925101266 251.1782799959537) rotate(0 4.314891930782551 4.314891930782551)"><path d="M5.71 0.81 C6.54 0.97, 7.82 0.94, 8.38 1.82 C8.94 2.69, 9.31 4.99, 9.07 6.04 C8.84 7.09, 7.92 7.59, 6.98 8.12 C6.04 8.65, 4.39 9.17, 3.43 9.23 C2.46 9.29, 1.67 9.19, 1.18 8.47 C0.7 7.75, 0.68 5.95, 0.52 4.91 C0.36 3.87, -0.01 3.05, 0.25 2.23 C0.5 1.4, 0.98 0.35, 2.07 -0.03 C3.16 -0.41, 6.17 -0.27, 6.81 -0.05 C7.45 0.18, 5.91 1.28, 5.91 1.31 M5.95 -0.75 C7.12 -0.46, 8.87 0.46, 9.06 1.48 C9.25 2.5, 7.54 4.29, 7.1 5.35 C6.67 6.41, 6.91 7.36, 6.45 7.84 C6 8.32, 5.38 8.19, 4.38 8.24 C3.38 8.3, 1.15 8.92, 0.45 8.17 C-0.25 7.42, -0.12 4.64, 0.18 3.73 C0.47 2.83, 1.86 3.17, 2.21 2.74 C2.56 2.31, 1.8 1.63, 2.29 1.15 C2.78 0.67, 4.5 -0.02, 5.16 -0.14 C5.81 -0.26, 6.05 0.28, 6.21 0.42" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M4.26 -0.26 C5.45 -0.27, 7.72 0.81, 8.41 1.43 C9.09 2.05, 8.45 2.47, 8.37 3.46 C8.3 4.45, 8.56 6.38, 7.94 7.36 C7.31 8.33, 5.41 9.27, 4.63 9.33 C3.84 9.4, 4.02 8.42, 3.22 7.74 C2.42 7.07, 0.21 5.95, -0.18 5.28 C-0.57 4.6, 0.61 4.38, 0.89 3.71 C1.17 3.05, 0.72 1.74, 1.47 1.3 C2.23 0.85, 4.66 1.18, 5.39 1.05 C6.13 0.92, 5.79 0.54, 5.89 0.54 M3.06 0.46 C4.22 0.07, 6.76 -1.41, 7.71 -1.03 C8.67 -0.65, 8.68 1.64, 8.79 2.74 C8.91 3.85, 8.86 4.64, 8.39 5.59 C7.93 6.55, 6.69 8.14, 6.01 8.48 C5.34 8.82, 5.15 7.7, 4.35 7.62 C3.55 7.55, 1.84 8.45, 1.22 8.02 C0.59 7.6, 0.57 6.37, 0.62 5.09 C0.67 3.8, 1.07 1.13, 1.51 0.32 C1.95 -0.49, 2.81 0.04, 3.24 0.22 C3.68 0.4, 4.27 1.29, 4.15 1.41" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(378.44061583008465 293.1292710774232) rotate(0 4.314891930782551 4.314891930782551)"><path d="M4.99 -0.39 C5.99 -0.3, 7.3 1.38, 7.9 2.17 C8.49 2.97, 8.71 3.53, 8.57 4.4 C8.42 5.28, 7.6 6.57, 7.03 7.4 C6.46 8.23, 5.8 9.26, 5.12 9.38 C4.44 9.51, 3.8 8.66, 2.95 8.14 C2.1 7.62, 0.64 7.13, 0.03 6.26 C-0.58 5.39, -1.08 3.92, -0.69 2.92 C-0.31 1.91, 1.42 0.61, 2.35 0.24 C3.27 -0.13, 4.06 0.76, 4.87 0.7 C5.68 0.65, 6.96 0.07, 7.2 -0.07 M4 -0.75 C4.61 -0.85, 4.03 -0.15, 4.66 0.39 C5.29 0.92, 7.07 1.7, 7.77 2.47 C8.46 3.23, 9.14 3.96, 8.84 4.97 C8.54 5.98, 6.74 8.1, 5.97 8.53 C5.19 8.96, 4.7 7.61, 4.17 7.56 C3.65 7.51, 3.64 8.54, 2.81 8.24 C1.99 7.94, -0.29 6.89, -0.79 5.75 C-1.28 4.61, -0.84 2.34, -0.16 1.41 C0.53 0.47, 2.73 0.35, 3.32 0.15 C3.9 -0.05, 3.37 -0.01, 3.37 0.22" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M6.09 0.12 C7.03 0.19, 6.99 0.18, 7.44 0.97 C7.9 1.76, 8.91 3.69, 8.82 4.85 C8.73 6.02, 7.41 7.43, 6.92 7.98 C6.42 8.54, 6.74 8.3, 5.84 8.18 C4.94 8.07, 2.36 7.6, 1.54 7.29 C0.72 6.99, 1.21 7.03, 0.91 6.37 C0.62 5.71, -0.43 4.17, -0.21 3.35 C0 2.52, 1.29 1.93, 2.21 1.42 C3.12 0.9, 4.61 0.35, 5.27 0.24 C5.93 0.13, 6.24 0.74, 6.16 0.75 M4.86 -1.39 C5.83 -1.66, 6.27 -0.05, 6.84 0.64 C7.4 1.32, 8.1 1.8, 8.25 2.72 C8.4 3.65, 7.93 5.48, 7.75 6.19 C7.57 6.9, 7.82 6.46, 7.16 6.98 C6.49 7.51, 4.68 9.21, 3.77 9.33 C2.87 9.46, 2.26 8.78, 1.74 7.74 C1.22 6.69, 0.82 4.06, 0.66 3.07 C0.51 2.07, 0.24 2.08, 0.83 1.78 C1.42 1.49, 3.93 1.51, 4.21 1.31 C4.49 1.1, 2.59 0.78, 2.51 0.57" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(378.25613244644364 308.41086740569557) rotate(0 4.314891930782551 4.314891930782551)"><path d="M5.95 1.05 C6.75 1.36, 7.49 1.58, 7.8 2.29 C8.11 2.99, 7.92 4.29, 7.8 5.29 C7.68 6.28, 7.51 7.72, 7.07 8.26 C6.63 8.8, 6.1 8.58, 5.17 8.53 C4.23 8.49, 2.45 8.55, 1.48 7.99 C0.5 7.43, -0.6 6.18, -0.69 5.17 C-0.79 4.17, 0.5 2.67, 0.9 1.96 C1.3 1.25, 0.75 1.3, 1.71 0.9 C2.68 0.51, 5.77 -0.26, 6.69 -0.42 C7.61 -0.59, 7.49 -0.29, 7.25 -0.11 M1.34 0.31 C1.93 0.1, 4.11 0.05, 5.28 0.28 C6.44 0.51, 7.94 0.79, 8.34 1.7 C8.74 2.6, 7.86 4.9, 7.69 5.7 C7.52 6.5, 7.61 5.87, 7.31 6.5 C7.02 7.12, 6.99 9.09, 5.9 9.45 C4.82 9.81, 1.92 9.45, 0.8 8.65 C-0.31 7.85, -0.79 5.73, -0.8 4.66 C-0.82 3.58, 0.1 2.95, 0.73 2.22 C1.36 1.49, 2.62 0.41, 2.98 0.27 C3.33 0.12, 2.78 1.46, 2.84 1.36" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M3.42 -0.61 C4.16 -0.73, 6.03 0.32, 6.76 1.05 C7.48 1.78, 7.37 3, 7.78 3.74 C8.19 4.48, 9.54 4.88, 9.23 5.49 C8.91 6.1, 6.72 6.78, 5.87 7.41 C5.03 8.03, 5.06 9.2, 4.16 9.24 C3.25 9.27, 1.13 8.32, 0.43 7.63 C-0.28 6.94, -0.15 6.12, -0.06 5.11 C0.04 4.1, 0.2 2.34, 1 1.58 C1.79 0.81, 4.21 0.8, 4.7 0.5 C5.18 0.21, 4.1 -0.15, 3.92 -0.19 M5.33 0.17 C5.96 0.47, 6.96 0.66, 7.4 1.4 C7.83 2.14, 7.79 3.87, 7.94 4.62 C8.1 5.38, 8.74 5.14, 8.31 5.91 C7.88 6.68, 6.23 8.79, 5.35 9.26 C4.46 9.72, 3.72 9.46, 3 8.69 C2.27 7.91, 1.5 5.52, 1.01 4.6 C0.53 3.68, -0.18 3.63, 0.11 3.19 C0.4 2.74, 2.12 2.38, 2.76 1.92 C3.39 1.46, 3.53 0.79, 3.91 0.42 C4.29 0.04, 4.71 -0.42, 5.04 -0.34" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(358.1699803986214 323.04653838551343) rotate(0 4.314891930782551 4.314891930782551)"><path d="M3.39 0.54 C4.02 0.26, 4.78 0.61, 5.55 1.12 C6.32 1.63, 7.47 2.87, 8.03 3.62 C8.58 4.37, 9.18 4.84, 8.88 5.59 C8.57 6.34, 7.21 7.67, 6.21 8.12 C5.2 8.58, 3.62 8.56, 2.85 8.32 C2.08 8.07, 2.19 7.21, 1.59 6.65 C0.98 6.08, -0.78 5.89, -0.77 4.93 C-0.76 3.97, 0.68 1.84, 1.66 0.89 C2.65 -0.06, 4.66 -0.63, 5.15 -0.76 C5.64 -0.88, 4.88 -0.18, 4.62 0.12 M2.6 0.25 C3.71 -0.13, 5.53 -0.52, 6.3 -0.05 C7.08 0.42, 6.85 2.35, 7.25 3.06 C7.65 3.76, 8.48 3.27, 8.68 4.19 C8.88 5.1, 9.33 7.65, 8.43 8.56 C7.54 9.46, 4.63 9.86, 3.31 9.6 C1.99 9.34, 1.02 7.78, 0.51 6.99 C0 6.2, 0.17 5.69, 0.24 4.86 C0.3 4.02, 0.43 2.58, 0.9 1.97 C1.38 1.36, 2.65 1.64, 3.08 1.18 C3.52 0.73, 3.44 -0.71, 3.5 -0.77" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M4.58 0.42 C5.4 0.62, 5.71 1.39, 6.52 1.86 C7.34 2.33, 9.31 2.57, 9.47 3.24 C9.63 3.9, 8.01 4.87, 7.5 5.84 C6.99 6.82, 7.29 8.57, 6.41 9.09 C5.54 9.61, 3.24 9.26, 2.25 8.96 C1.26 8.67, 0.86 8.2, 0.48 7.3 C0.11 6.41, -0.3 4.58, 0 3.61 C0.29 2.63, 1.47 2.08, 2.27 1.45 C3.07 0.83, 4.24 0.03, 4.8 -0.17 C5.36 -0.36, 5.54 0.02, 5.64 0.3 M2.21 0.57 C2.76 0.17, 3.5 0.64, 4.51 0.65 C5.51 0.67, 7.54 -0.1, 8.23 0.66 C8.92 1.41, 8.68 4.01, 8.66 5.18 C8.65 6.35, 8.66 7.37, 8.15 7.69 C7.64 8.02, 6.63 7.09, 5.6 7.16 C4.57 7.22, 2.74 8.14, 1.98 8.09 C1.22 8.05, 1.47 7.71, 1.04 6.88 C0.61 6.05, -0.84 4.25, -0.6 3.11 C-0.35 1.98, 1.83 0.41, 2.5 0.07 C3.17 -0.28, 3.37 0.96, 3.41 1.06" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(358.07952814660916 308.3348370212852) rotate(0 4.314891930782551 4.314891930782551)"><path d="M5.38 1.03 C6.16 1.44, 7.36 2.72, 7.95 3.45 C8.54 4.18, 9.2 4.65, 8.93 5.41 C8.67 6.18, 7.35 7.53, 6.37 8.02 C5.38 8.51, 3.81 8.55, 3.03 8.34 C2.26 8.13, 2.35 7.32, 1.72 6.78 C1.08 6.25, -0.73 6.08, -0.76 5.12 C-0.79 4.16, 0.74 1.99, 1.55 1.04 C2.36 0.08, 3.3 -0.57, 4.09 -0.63 C4.87 -0.68, 5.83 0.31, 6.24 0.73 C6.64 1.14, 6.58 1.97, 6.53 1.88 M4.68 -0.38 C5.48 -0.32, 5.54 1.27, 6.22 1.76 C6.89 2.24, 8.17 1.6, 8.72 2.53 C9.27 3.45, 10.16 6.18, 9.53 7.31 C8.9 8.45, 6.22 9.26, 4.95 9.35 C3.69 9.44, 2.62 8.34, 1.93 7.86 C1.23 7.37, 1.04 7.15, 0.77 6.43 C0.49 5.71, 0.15 4.25, 0.3 3.51 C0.44 2.77, 0.88 2.73, 1.63 1.97 C2.38 1.21, 4.3 -0.77, 4.8 -1.05 C5.29 -1.32, 4.81 0.07, 4.61 0.34" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M2.29 1.04 C3.22 0.56, 5.88 -0.2, 6.76 -0.11 C7.64 -0.03, 7.17 0.54, 7.58 1.53 C7.99 2.52, 9.42 4.71, 9.24 5.83 C9.06 6.96, 7.35 7.68, 6.51 8.29 C5.67 8.91, 5.03 9.63, 4.18 9.53 C3.33 9.43, 1.97 8.36, 1.4 7.68 C0.82 7.01, 0.93 6.46, 0.72 5.48 C0.51 4.5, -0.22 2.74, 0.15 1.82 C0.52 0.89, 2.3 0.05, 2.96 -0.07 C3.62 -0.19, 4.2 0.93, 4.12 1.09 M3.84 0.57 C4.82 0.38, 6.98 -0.49, 7.78 0.17 C8.57 0.83, 8.5 3.35, 8.63 4.51 C8.76 5.68, 8.95 6.75, 8.56 7.16 C8.16 7.58, 7.25 6.8, 6.26 7.01 C5.26 7.22, 3.41 8.32, 2.58 8.4 C1.75 8.48, 1.86 8.27, 1.29 7.5 C0.73 6.72, -0.9 4.93, -0.79 3.75 C-0.69 2.57, 0.87 0.98, 1.94 0.43 C3.01 -0.12, 5.15 0.56, 5.62 0.47 C6.1 0.37, 4.84 -0.21, 4.79 -0.14" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(337.4046365302505 338.10190467043316) rotate(0 4.314891930782551 4.314891930782551)"><path d="M4.99 1.01 C6.07 1.04, 7.68 1.03, 8.23 1.64 C8.77 2.25, 8.52 3.79, 8.25 4.68 C7.99 5.57, 7.11 6.43, 6.63 6.99 C6.14 7.55, 6.24 7.82, 5.34 8.06 C4.43 8.3, 1.93 8.97, 1.19 8.43 C0.46 7.89, 0.92 5.92, 0.92 4.83 C0.92 3.73, 1.02 2.61, 1.17 1.87 C1.31 1.14, 1.11 0.57, 1.79 0.41 C2.48 0.26, 4.57 1.03, 5.28 0.94 C5.99 0.85, 5.94 -0.07, 6.04 -0.15 M3.5 0.73 C4.34 0.58, 6.2 -0.63, 7.3 -0.01 C8.39 0.61, 10.08 3.2, 10.07 4.45 C10.05 5.71, 8.07 6.93, 7.2 7.51 C6.33 8.08, 5.54 7.75, 4.83 7.89 C4.13 8.03, 3.65 8.58, 2.97 8.32 C2.29 8.07, 1.24 7.02, 0.77 6.38 C0.3 5.74, -0.07 5.55, 0.14 4.48 C0.36 3.4, 1.3 0.62, 2.05 -0.08 C2.81 -0.79, 4.39 0.2, 4.66 0.25 C4.93 0.31, 3.81 0.41, 3.67 0.24" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M6.11 -0.31 C7 -0.43, 6.67 0.05, 7.2 0.96 C7.74 1.87, 9.35 4.01, 9.32 5.16 C9.29 6.3, 7.75 7.1, 7 7.82 C6.26 8.54, 5.7 9.44, 4.86 9.49 C4.02 9.53, 2.61 8.65, 1.95 8.09 C1.28 7.53, 1.23 7.09, 0.88 6.14 C0.53 5.2, -0.32 3.39, -0.15 2.43 C0.01 1.46, 0.84 0.54, 1.86 0.34 C2.87 0.13, 5.39 1.12, 5.94 1.21 C6.48 1.29, 5.2 0.95, 5.15 0.85 M4.92 -0.98 C5.92 -0.99, 6.46 0.94, 7.18 1.8 C7.89 2.65, 8.94 3.6, 9.19 4.15 C9.44 4.7, 9.27 4.38, 8.68 5.11 C8.09 5.83, 6.5 7.76, 5.66 8.5 C4.81 9.24, 4.59 9.84, 3.59 9.55 C2.59 9.27, 0.19 7.88, -0.36 6.8 C-0.9 5.72, -0.2 3.94, 0.31 3.05 C0.82 2.15, 1.97 1.98, 2.69 1.43 C3.42 0.88, 4.24 -0.08, 4.65 -0.23 C5.07 -0.38, 5.31 0.28, 5.16 0.52" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(317.2857659395778 322.94770767114363) rotate(0 4.314891930782551 4.314891930782551)"><path d="M6.06 0.11 C6.91 0.2, 7.29 1.37, 7.57 2.12 C7.86 2.86, 7.73 3.79, 7.75 4.59 C7.78 5.4, 8.41 6.19, 7.74 6.95 C7.07 7.7, 4.63 9.11, 3.75 9.12 C2.87 9.13, 2.9 7.77, 2.43 7 C1.96 6.23, 1.35 5.3, 0.93 4.51 C0.51 3.72, -0.25 2.88, -0.08 2.28 C0.08 1.68, 1.02 1.41, 1.9 0.92 C2.79 0.43, 4.54 -0.53, 5.23 -0.66 C5.92 -0.78, 5.97 -0.09, 6.05 0.17 M3.92 -1.03 C5.18 -1.18, 7.52 0.66, 8.14 1.5 C8.76 2.34, 7.75 3.34, 7.62 4.01 C7.5 4.67, 7.59 4.79, 7.41 5.48 C7.22 6.17, 7.13 7.63, 6.49 8.13 C5.85 8.63, 4.51 8.53, 3.59 8.5 C2.66 8.46, 1.47 8.81, 0.94 7.91 C0.42 7, 0.38 4.1, 0.46 3.06 C0.54 2.01, 0.99 2.12, 1.42 1.64 C1.85 1.16, 2.76 0.64, 3.06 0.19 C3.36 -0.26, 3.33 -1.24, 3.22 -1.06" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M5.5 -0.35 C6.29 0.13, 8.44 2.01, 8.85 3.05 C9.27 4.1, 8.33 4.98, 8 5.91 C7.67 6.85, 7.52 8.19, 6.85 8.66 C6.18 9.13, 4.8 8.86, 4 8.74 C3.2 8.62, 2.78 8.66, 2.04 7.96 C1.3 7.26, -0.14 5.59, -0.44 4.56 C-0.73 3.54, -0.35 2.36, 0.27 1.79 C0.89 1.23, 2.44 1.32, 3.29 1.17 C4.13 1.01, 4.77 0.92, 5.34 0.84 C5.9 0.77, 6.55 0.78, 6.68 0.71 M5.16 0.82 C6.04 1.18, 7.58 1.74, 8.27 2.1 C8.96 2.45, 9.42 2.09, 9.29 2.95 C9.16 3.8, 8.09 6.1, 7.51 7.24 C6.94 8.38, 6.87 9.59, 5.82 9.78 C4.77 9.98, 2.1 9.16, 1.21 8.41 C0.32 7.66, 0.45 6.15, 0.48 5.29 C0.5 4.43, 1.05 4.08, 1.38 3.25 C1.71 2.42, 1.72 0.77, 2.48 0.32 C3.23 -0.14, 5.56 0.41, 5.9 0.51 C6.24 0.62, 4.41 0.96, 4.49 0.95" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(317.5570579613583 280.73807780312694) rotate(0 4.314891930782551 4.314891930782551)"><path d="M5.82 0.56 C6.41 0.86, 6.88 1.54, 7.4 2.27 C7.93 3, 9.2 3.93, 8.97 4.95 C8.73 5.96, 6.7 7.89, 5.98 8.37 C5.25 8.86, 5.27 8.16, 4.62 7.86 C3.96 7.56, 2.91 7.12, 2.05 6.57 C1.19 6.03, -0.22 5.28, -0.55 4.58 C-0.88 3.88, -0.46 3.28, 0.07 2.39 C0.6 1.49, 1.53 -0.48, 2.64 -0.8 C3.74 -1.13, 5.94 0.07, 6.69 0.42 C7.43 0.78, 7.19 1.32, 7.1 1.33 M6.85 0.95 C7.55 1.44, 6.85 2.22, 6.99 2.75 C7.14 3.28, 7.63 3.36, 7.73 4.11 C7.84 4.87, 8.08 6.55, 7.62 7.29 C7.16 8.04, 5.93 8.31, 4.99 8.58 C4.05 8.84, 2.7 9.56, 1.97 8.87 C1.24 8.19, 0.84 5.47, 0.62 4.46 C0.4 3.45, 0.47 3.46, 0.65 2.81 C0.83 2.17, 1.02 1.23, 1.71 0.59 C2.4 -0.05, 4.43 -1.12, 4.79 -1.05 C5.16 -0.98, 3.71 0.58, 3.92 1.01" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M4.14 0.78 C4.99 0.77, 5.17 0.67, 5.85 1.14 C6.54 1.62, 7.86 2.85, 8.27 3.63 C8.68 4.4, 8.5 4.99, 8.33 5.8 C8.15 6.61, 8.09 8.07, 7.24 8.49 C6.39 8.9, 4.31 8.56, 3.21 8.31 C2.11 8.06, 1.15 7.49, 0.65 7.01 C0.16 6.52, 0.35 6.25, 0.23 5.41 C0.11 4.57, -0.83 2.88, -0.05 1.98 C0.72 1.07, 3.87 0.32, 4.89 -0.01 C5.92 -0.34, 6.05 -0.13, 6.09 0.01 M3.55 0.74 C4.47 0.05, 5.8 -1.4, 6.54 -1.13 C7.29 -0.86, 7.56 1.1, 8.03 2.35 C8.5 3.6, 9.68 5.42, 9.36 6.37 C9.04 7.32, 6.93 7.77, 6.11 8.07 C5.29 8.37, 5.04 8.19, 4.45 8.18 C3.86 8.17, 3.25 8.59, 2.57 8.02 C1.88 7.44, 0.51 5.65, 0.32 4.73 C0.13 3.81, 1.07 3.13, 1.41 2.51 C1.74 1.89, 1.84 1.39, 2.32 1.01 C2.81 0.63, 4.08 0.5, 4.32 0.24" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(317.499388986453 266.0009266282927) rotate(0 4.314891930782551 4.314891930782551)"><path d="M3.3 -0.26 C4.32 -0.47, 6.71 -0.33, 7.45 0.37 C8.19 1.06, 7.52 3.02, 7.76 3.89 C8 4.76, 9.03 4.96, 8.87 5.57 C8.7 6.18, 7.85 7.08, 6.78 7.55 C5.7 8.02, 3.58 8.42, 2.44 8.37 C1.3 8.31, 0.43 8.14, -0.08 7.21 C-0.58 6.28, -0.82 3.86, -0.57 2.8 C-0.32 1.74, 0.45 1.25, 1.42 0.84 C2.4 0.43, 4.52 0.47, 5.28 0.32 C6.04 0.18, 5.94 -0.09, 6 -0.04 M2.01 1.24 C2.42 0.66, 3.84 -0.4, 4.88 -0.25 C5.92 -0.1, 7.59 1.24, 8.24 2.12 C8.89 3, 8.97 3.94, 8.79 5.02 C8.62 6.09, 7.84 8.16, 7.17 8.59 C6.5 9.02, 5.68 7.7, 4.79 7.58 C3.9 7.47, 2.74 8.28, 1.83 7.89 C0.93 7.5, -0.34 6.39, -0.64 5.24 C-0.95 4.09, -0.34 1.69, 0 1 C0.34 0.3, 0.79 1.01, 1.4 1.07 C2 1.13, 3.19 1.55, 3.63 1.34" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M2.33 0.88 C3.01 0.56, 4.8 0.93, 5.74 1.16 C6.68 1.39, 7.39 1.54, 7.97 2.28 C8.55 3.01, 9.46 4.72, 9.23 5.56 C9.01 6.41, 7.51 6.87, 6.62 7.35 C5.72 7.84, 4.69 8.25, 3.88 8.46 C3.07 8.67, 2.57 9.1, 1.77 8.6 C0.97 8.09, -0.74 6.49, -0.93 5.41 C-1.11 4.33, -0.01 3.07, 0.68 2.12 C1.36 1.17, 2.66 -0.03, 3.19 -0.29 C3.72 -0.56, 3.96 0.37, 3.87 0.52 M6.03 -1.29 C6.78 -1.2, 7.18 0.71, 7.75 1.9 C8.31 3.08, 9.64 4.87, 9.43 5.84 C9.23 6.81, 7.25 7.32, 6.51 7.71 C5.77 8.1, 5.57 8.05, 4.99 8.16 C4.4 8.26, 3.75 8.83, 2.99 8.35 C2.23 7.86, 0.74 6.15, 0.43 5.26 C0.13 4.36, 0.93 3.66, 1.16 2.98 C1.39 2.31, 0.9 1.7, 1.83 1.21 C2.75 0.73, 6.03 0.43, 6.73 0.06 C7.43 -0.31, 6.13 -1.01, 6.03 -1" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(296.98074737009426 278.7568951267544) rotate(0 4.314891930782551 4.314891930782551)"><path d="M5.11 -0.53 C6 -0.39, 5.83 1.1, 6.54 1.7 C7.24 2.31, 8.97 2.4, 9.34 3.11 C9.7 3.82, 9.45 5.08, 8.72 5.97 C7.99 6.85, 6.1 7.92, 4.95 8.4 C3.8 8.88, 2.68 9.37, 1.82 8.85 C0.97 8.33, 0.11 6.25, -0.17 5.28 C-0.45 4.3, -0.19 3.7, 0.14 3 C0.47 2.29, 1.03 1.64, 1.81 1.05 C2.58 0.46, 4.09 -0.42, 4.78 -0.53 C5.46 -0.65, 6 0, 5.91 0.33 M4.59 -0.34 C5.62 -0.33, 7.37 1.02, 8.08 1.86 C8.78 2.7, 8.95 3.62, 8.84 4.71 C8.72 5.8, 8.02 7.9, 7.4 8.38 C6.78 8.86, 5.99 7.62, 5.1 7.57 C4.21 7.52, 3.02 8.41, 2.08 8.07 C1.13 7.74, -0.21 6.67, -0.58 5.54 C-0.95 4.41, -0.42 2, -0.14 1.27 C0.14 0.55, 0.05 1.21, 1.11 1.19 C2.18 1.17, 5.36 1.45, 6.25 1.15 C7.15 0.84, 6.88 -0.67, 6.5 -0.63" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M5.72 1.15 C6.64 1.31, 7.38 1.53, 7.96 2.26 C8.55 2.99, 9.46 4.7, 9.24 5.54 C9.01 6.39, 7.52 6.85, 6.63 7.34 C5.74 7.83, 4.71 8.25, 3.9 8.46 C3.09 8.67, 2.59 9.11, 1.78 8.61 C0.98 8.1, -0.74 6.51, -0.92 5.43 C-1.11 4.35, 0.04 3.07, 0.67 2.13 C1.3 1.2, 1.84 0.02, 2.86 -0.19 C3.87 -0.4, 6.19 0.68, 6.74 0.88 C7.3 1.07, 6.22 0.89, 6.21 0.96 M4.98 0.17 C5.88 0.7, 7.97 1.98, 8.43 2.74 C8.88 3.49, 7.82 4.04, 7.73 4.69 C7.64 5.34, 8.12 5.9, 7.86 6.63 C7.61 7.35, 7.08 8.83, 6.18 9.03 C5.27 9.23, 3.3 8.29, 2.44 7.83 C1.58 7.36, 1.51 6.94, 1.04 6.24 C0.58 5.54, -0.76 4.59, -0.35 3.64 C0.05 2.68, 2.48 1.31, 3.5 0.51 C4.51 -0.29, 5.32 -1.02, 5.73 -1.15 C6.14 -1.29, 5.84 -0.69, 5.94 -0.3" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(297.4457566548359 293.57159794102967) rotate(0 4.314891930782551 4.314891930782551)"><path d="M2.97 0.53 C3.87 0.33, 6.31 -0.37, 7.35 -0.08 C8.4 0.2, 9.19 1.25, 9.25 2.25 C9.32 3.25, 8.36 4.82, 7.74 5.9 C7.13 6.97, 6.4 8.44, 5.58 8.72 C4.75 9.01, 3.56 7.94, 2.78 7.59 C2 7.25, 1.37 7.21, 0.91 6.67 C0.45 6.13, 0.04 5.34, 0.04 4.36 C0.03 3.39, 0.14 1.52, 0.87 0.81 C1.61 0.11, 4.02 0.07, 4.45 0.12 C4.89 0.16, 3.47 1.12, 3.49 1.08 M5.89 0.2 C6.92 0.51, 7.76 1.08, 8.22 2.04 C8.68 2.99, 8.75 5.19, 8.65 5.94 C8.55 6.68, 8.29 6.01, 7.63 6.5 C6.97 6.99, 5.82 8.66, 4.7 8.88 C3.58 9.1, 1.78 8.66, 0.91 7.84 C0.05 7.03, -0.18 4.79, -0.48 4 C-0.78 3.2, -1.56 3.51, -0.9 3.05 C-0.23 2.6, 2.24 1.9, 3.51 1.29 C4.79 0.67, 6.61 -0.62, 6.74 -0.65 C6.87 -0.68, 4.54 1.07, 4.3 1.1" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M5.55 0.32 C6.52 0.47, 8.21 1.79, 8.63 2.51 C9.06 3.22, 8.43 3.82, 8.12 4.63 C7.81 5.43, 7.35 6.51, 6.78 7.34 C6.22 8.17, 5.73 9.48, 4.71 9.61 C3.7 9.73, 1.44 8.81, 0.68 8.07 C-0.07 7.34, 0.22 6.23, 0.19 5.19 C0.17 4.16, 0.05 2.6, 0.53 1.85 C1.01 1.1, 2.25 0.92, 3.06 0.68 C3.87 0.43, 4.76 0.32, 5.39 0.39 C6.03 0.45, 6.76 0.91, 6.9 1.05 M3.16 1.69 C3.77 1.28, 3.56 0.57, 4.37 0.5 C5.17 0.42, 7.09 0.5, 7.99 1.25 C8.88 2, 9.76 4.03, 9.72 4.99 C9.69 5.95, 8.43 6.34, 7.75 7.01 C7.07 7.69, 6.7 8.75, 5.64 9.03 C4.57 9.32, 2.05 9.31, 1.37 8.73 C0.69 8.14, 1.61 6.74, 1.55 5.52 C1.49 4.3, 0.73 2.34, 1.02 1.43 C1.3 0.51, 2.79 0.06, 3.24 0.03 C3.7 0, 3.86 1.21, 3.73 1.26" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(297.3785856158328 307.96799723672115) rotate(0 4.314891930782551 4.314891930782551)"><path d="M3.9 -0.6 C5 -1.09, 6.31 -0.86, 6.94 -0.36 C7.56 0.14, 7.52 1.35, 7.65 2.41 C7.79 3.47, 7.99 5.24, 7.75 5.99 C7.51 6.74, 6.83 6.51, 6.2 6.9 C5.57 7.29, 4.79 8.22, 3.98 8.33 C3.16 8.45, 2.02 8.31, 1.32 7.61 C0.61 6.91, -0.22 5.06, -0.23 4.12 C-0.24 3.18, 0.68 2.48, 1.25 1.96 C1.82 1.45, 2.53 1.42, 3.19 1.01 C3.84 0.61, 4.94 -0.25, 5.17 -0.44 M3.82 0.03 C4.66 0, 5.73 1.28, 6.56 1.57 C7.4 1.87, 8.49 1.07, 8.84 1.82 C9.18 2.57, 9.15 5, 8.63 6.07 C8.12 7.14, 6.68 8, 5.74 8.22 C4.79 8.44, 4 7.44, 2.97 7.38 C1.94 7.32, -0.06 8.22, -0.43 7.87 C-0.8 7.52, 0.36 6.48, 0.78 5.27 C1.2 4.07, 1.84 1.38, 2.08 0.65 C2.32 -0.09, 2.02 1.13, 2.24 0.85 C2.46 0.58, 3 -0.68, 3.4 -0.98" stroke="none" stroke-width="0" fill="#aecbfa"></path><path d="M6.86 0.92 C7.61 1.19, 7.58 1.54, 7.78 2.27 C7.98 3, 8.17 4.22, 8.04 5.32 C7.9 6.41, 7.83 8.25, 6.98 8.86 C6.12 9.47, 3.84 9.22, 2.9 8.95 C1.95 8.69, 1.8 8.09, 1.32 7.29 C0.85 6.5, 0.07 5.04, 0.04 4.18 C0.02 3.33, 0.76 2.82, 1.19 2.15 C1.61 1.48, 1.58 0.32, 2.6 0.16 C3.62 0, 6.46 0.93, 7.29 1.19 C8.13 1.46, 7.91 1.76, 7.62 1.74 M3.57 0.39 C4.35 0.09, 6.42 0.03, 7.44 0.66 C8.46 1.29, 9.55 3.23, 9.69 4.18 C9.82 5.13, 8.79 5.59, 8.24 6.37 C7.7 7.15, 7.45 8.4, 6.43 8.86 C5.4 9.31, 2.85 9.53, 2.09 9.1 C1.33 8.67, 2.08 7.42, 1.86 6.27 C1.64 5.12, 0.66 3.17, 0.78 2.2 C0.89 1.23, 1.72 0.72, 2.56 0.47 C3.4 0.22, 5.51 0.86, 5.81 0.7 C6.11 0.55, 4.54 -0.21, 4.34 -0.47" stroke="#669df6" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(326.85730145464083 300.423471627849) rotate(0 -5.209964457883757 5.749153683779809)" fill-rule="evenodd"><path d="M-0.87 -1.98 L-1.19 13.46 L-0.18 16.43 L-4.86 16.58 L-6.08 16.18 L-11.42 13.3 L-9.27 14.41 L-8.69 -0.95 L-9.18 -1.11 L-7.49 -5.09 L-3.98 -3.72 L-4.71 -6.14 L-0.2 -1.06" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.11 0.15 C0.83 5.27, -0.64 8.93, -0.6 12.6 M0.22 0.06 C0.09 4.16, -0.2 8.52, 0.18 12.39 M0.06 12.95 C-0.75 13.66, -0.84 14.71, -1.16 15.46 M0.07 12.86 C-0.46 13.71, -0.85 14.7, -1.48 15.73 M-1.67 15.84 C-2.59 16.48, -3.44 16.72, -4.31 17.08 M-1.5 15.53 C-1.94 16.08, -2.73 16.39, -4.31 16.95 M-4.34 16.81 C-4.89 16.96, -5.59 17.06, -6.64 16.83 M-4.08 17.1 C-5.09 17.07, -5.93 16.93, -6.57 16.97 M-6.35 17.08 C-7.74 16.36, -8.34 15.45, -9.43 14.69 M-6.49 17.09 C-7.08 16.41, -8 16.13, -9.49 14.69 M-9.66 14.97 C-9.81 14.04, -9.94 13.03, -10.25 12.34 M-9.38 14.87 C-9.54 14.21, -9.84 13.83, -10.09 12.59 M-9.65 13.61 C-11.32 8.94, -10.75 5.91, -8.93 -0.46 M-10.34 12.42 C-10.41 9.72, -10.6 7.92, -10.13 -0.2 M-9.8 0.21 C-10.11 -0.27, -9.73 -1.16, -9.46 -2.93 M-10.06 0.09 C-10.07 -0.69, -9.84 -1.31, -9.7 -2.74 M-9.71 -2.95 C-8.99 -3.64, -8.63 -4.2, -7.84 -4.53 M-9.69 -2.68 C-8.97 -3.58, -8.48 -4.26, -8.03 -4.68 M-8.09 -4.53 C-7.17 -4.81, -6.78 -5.31, -5.56 -5.6 M-8 -4.78 C-7.2 -5.08, -6.47 -5.28, -5.71 -5.58 M-5.83 -5.35 C-4.91 -5.16, -4.35 -5.14, -2.98 -5.21 M-5.57 -5.53 C-4.63 -5.22, -3.86 -5.1, -3.13 -5.06 M-3.05 -4.95 C-2.13 -4.1, -1.75 -3.45, -0.84 -2.83 M-3.1 -5.16 C-2.17 -4.2, -1.39 -3.69, -0.86 -2.83 M-1.04 -3.1 C-0.51 -2.14, -0.22 -1.18, -0.23 -0.22 M-0.83 -3.06 C-0.51 -1.93, -0.4 -0.78, 0.12 -0.03" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(346.8381868167975 315.2253708123773) rotate(0 -5.228237965660355 5.725070593661087)" fill-rule="evenodd"><path d="M-1.14 0.65 L1.18 13.6 L-2.08 15.2 L-3.69 16.24 L-8.54 15.44 L-8.58 16.67 L-8.86 11.47 L-9.47 1.76 L-9.17 -3.05 L-6.35 -2.99 L-7.3 -6.53 L-2.31 -3.18 L-2.45 -2.69" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.86 0.63 C-0.63 4.65, -0.6 9.77, 0.25 14.07 M-0.02 0.02 C-0.26 2.82, 0.25 4.73, -0.03 13.13 M-0.35 12.8 C-0.48 13.96, -0.72 14.56, -1.33 15.7 M-0.02 12.79 C-0.31 13.63, -0.83 14.43, -1.27 15.64 M-1.51 15.93 C-2.24 16.12, -3.46 16.67, -4.46 16.95 M-1.34 15.76 C-2.51 16.24, -3.48 16.51, -4.2 16.92 M-4.19 16.97 C-5.04 17.04, -5.97 16.82, -6.47 17 M-4.26 17.11 C-4.81 16.99, -5.27 17.02, -6.57 16.97 M-6.84 17.04 C-7.42 16.16, -8.32 15.54, -9.75 14.48 M-6.46 16.87 C-7.78 16.33, -8.66 15.34, -9.35 14.65 M-9.58 14.87 C-9.68 13.89, -10.03 13.01, -10.3 12.46 M-9.38 14.76 C-9.73 14.26, -9.83 13.52, -10.22 12.61 M-11.31 12.05 C-10.79 8.5, -9.05 4.71, -11.19 0.8 M-10.38 12.25 C-10.52 8.92, -10.15 4.13, -10.38 -0.02 M-10.18 0.4 C-9.83 -0.44, -9.64 -1.33, -9.84 -2.54 M-10.12 0.04 C-9.87 -0.7, -9.8 -1.53, -9.64 -2.68 M-9.56 -2.95 C-9.24 -3.43, -8.46 -3.77, -7.84 -5.01 M-9.6 -2.83 C-9.1 -3.52, -8.47 -4.17, -8.01 -4.8 M-7.9 -4.59 C-7.5 -5.11, -6.47 -5.34, -5.6 -5.66 M-7.96 -4.83 C-7.09 -5.07, -6.3 -5.39, -5.67 -5.6 M-5.6 -5.27 C-5.06 -5.27, -4.18 -5.41, -2.91 -5.11 M-5.54 -5.36 C-4.94 -5.26, -4.22 -5.22, -2.97 -5 M-2.9 -4.86 C-2.68 -4.39, -1.76 -3.77, -0.74 -2.85 M-2.95 -4.96 C-2.2 -4.46, -1.46 -3.41, -0.86 -2.84 M-0.86 -3.18 C-0.69 -2.58, -0.75 -1.86, 0.18 -0.09 M-0.83 -3 C-0.79 -2.12, -0.3 -1.4, -0.07 -0.15" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(367.9441386313674 285.6751529638197) rotate(0 -5.288483619131341 5.812020717100324)" fill-rule="evenodd"><path d="M1.23 0.78 L-0.72 12.36 L-0.91 14.86 L-6.15 15.51 L-5.69 18.82 L-8.17 13.73 L-9.64 14.18 L-9.46 -0.18 L-8.04 -0.95 L-9.68 -5.8 L-4.9 -3.58 L-4.57 -4.82 L-2.6 -3" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-0.6 -0.35 C-0.48 3.78, 0.35 9.24, -1.32 13.26 M-0.29 0.24 C0.21 3.55, -0.02 8.25, 0.21 13.03 M-0.03 12.98 C-0.29 13.6, -0.93 14.81, -1.51 15.88 M0.03 12.86 C-0.56 13.83, -0.8 14.68, -1.34 15.52 M-1.27 15.63 C-2.53 16.22, -3.68 16.59, -4.04 16.87 M-1.53 15.78 C-2.14 15.89, -2.66 16.17, -4.1 16.94 M-4.19 17.09 C-4.75 16.87, -5.06 17.03, -6.75 17.21 M-4.26 16.99 C-5.02 17.03, -5.87 17, -6.58 17.05 M-6.52 16.8 C-7.49 16.13, -8.76 15.22, -9.28 15.01 M-6.75 17.07 C-7.68 16.03, -8.59 15.21, -9.38 14.68 M-9.45 14.68 C-9.8 13.78, -10.09 13.09, -10.17 12.74 M-9.51 14.93 C-9.65 14.07, -10.01 13.32, -10.17 12.61 M-10.79 12.13 C-8.92 7.19, -11.12 3.68, -9.67 -0.21 M-10.61 12.96 C-10.21 8.77, -10.41 5.51, -10.47 0.56 M-9.88 0.2 C-9.64 -0.99, -9.92 -1.53, -9.73 -2.87 M-9.97 0.13 C-9.88 -0.62, -9.75 -1.31, -9.68 -2.73 M-9.77 -2.8 C-9.17 -2.93, -8.81 -3.84, -7.83 -4.74 M-9.72 -2.76 C-9.16 -3.32, -8.57 -4.13, -8 -4.81 M-8.24 -4.86 C-7.01 -5.17, -6.11 -5.52, -5.45 -5.47 M-7.98 -4.8 C-7.42 -5.04, -6.71 -5.27, -5.68 -5.58 M-5.75 -5.36 C-4.65 -5.49, -3.66 -5.25, -3.08 -4.96 M-5.69 -5.38 C-5.01 -5.38, -4.15 -5.21, -3.07 -5.1 M-3.28 -4.98 C-2.2 -4.23, -1.36 -3.51, -0.75 -3.08 M-2.95 -5.23 C-2.41 -4.42, -1.86 -3.88, -1.05 -3.02 M-0.89 -3.25 C-0.91 -2.42, -0.26 -1.51, -0.1 0.21 M-1.06 -2.92 C-0.57 -2.27, -0.52 -1.66, -0.09 0.05" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(387.57163637776125 270.7027387677728) rotate(0 -5.070558631017207 5.788627417459281)" fill-rule="evenodd"><path d="M-0.67 -0.45 L0.45 12.02 L-3.37 14.12 L-3.3 18.88 L-5.29 15.88 L-8.95 16.44 L-9.63 12.24 L-8.33 1.92 L-11.36 -3.77 L-7.28 -2.85 L-7.16 -5.22 L-4.72 -5.13 L-1.07 -4.48" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-0.55 -0.22 C0.22 5.73, -1.36 9.4, 0.07 12.76 M0.23 -0.42 C-0.06 4.2, 0.17 7.99, 0.23 12.2 M0.2 12.62 C-0.37 13.71, -0.95 14.73, -1.32 15.71 M-0.11 12.89 C-0.28 13.62, -0.74 14.3, -1.32 15.6 M-1.53 15.69 C-2.75 16.1, -3.42 16.56, -4.43 17.19 M-1.53 15.56 C-2.47 16.07, -3.41 16.61, -4.34 17.04 M-4.25 16.89 C-4.73 17.05, -5.66 17.24, -6.45 16.84 M-4.18 17.03 C-5.05 17, -5.93 17.06, -6.55 16.89 M-6.55 16.84 C-7.79 15.93, -8.23 15.78, -9.23 15.08 M-6.61 16.84 C-7.14 16.29, -7.87 15.8, -9.36 14.74 M-9.56 14.6 C-9.83 13.99, -9.92 13.55, -10.06 12.73 M-9.4 14.85 C-9.69 14.32, -9.81 13.77, -10.06 12.45 M-9.1 11.96 C-11.26 10.01, -9.69 5.79, -10.27 -0.29 M-10.3 12.22 C-10.42 9.3, -10.47 6.79, -9.85 -0.28 M-9.75 -0.06 C-10.03 -0.79, -9.81 -2.24, -9.81 -3 M-9.98 0.13 C-9.87 -0.45, -9.84 -1.16, -9.82 -2.65 M-9.52 -2.5 C-9.16 -3.41, -8.77 -3.59, -7.91 -4.56 M-9.72 -2.65 C-9.31 -3.22, -8.92 -3.69, -7.89 -4.7 M-7.94 -4.87 C-7.09 -5.19, -6.06 -5.27, -5.68 -5.38 M-8.09 -4.85 C-7.47 -5.04, -6.88 -5.21, -5.57 -5.48 M-5.57 -5.61 C-4.5 -5.37, -3.67 -5.07, -3.12 -4.9 M-5.72 -5.46 C-4.53 -5.26, -3.59 -5.2, -2.98 -5.03 M-2.95 -4.96 C-2.06 -4.18, -1.28 -3.6, -1.05 -2.77 M-2.97 -4.95 C-2.14 -4.12, -1.5 -3.47, -1 -2.94 M-1.16 -3.19 C-0.53 -2.36, -0.6 -1.36, -0.17 0.2 M-0.82 -3 C-0.76 -2.29, -0.52 -1.24, 0.1 0.06" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(306.3388383801321 255.41099072089781) rotate(0 -5.534519073500064 5.778489495765996)" fill-rule="evenodd"><path d="M0.5 -0.8 L-2 11.29 L-0.52 17.5 L-2.9 15.94 L-6.06 18.59 L-8.94 14.5 L-8.5 14.34 L-11.65 -0.9 L-8.96 -0.81 L-9.53 -4.48 L-7.31 -5.52 L-3.18 -6.61 L0.25 -4.74" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.3 1.25 C-1.34 3.94, 0.04 6.94, -0.01 12.23 M0.01 0.32 C0.29 4.54, 0.29 8.04, -0.08 12.86 M0.03 12.86 C-0.6 14.04, -0.9 14.87, -1.46 15.81 M0.09 12.8 C-0.44 13.63, -0.86 14.64, -1.27 15.72 M-1.67 15.57 C-2.08 15.89, -3.28 16.62, -3.97 16.8 M-1.42 15.54 C-2.4 16.07, -3.7 16.7, -4.24 17.04 M-4.08 17.06 C-5.13 17.24, -5.6 16.85, -6.43 16.83 M-4.18 17.03 C-4.83 17.1, -5.43 16.92, -6.56 16.99 M-6.87 16.63 C-7.12 16.6, -7.81 16.13, -9.68 14.5 M-6.46 16.8 C-7.51 16.05, -8.51 15.35, -9.43 14.84 M-9.61 14.72 C-9.64 14.45, -9.69 13.91, -10.29 12.47 M-9.53 14.87 C-9.76 14, -9.92 12.96, -10.21 12.5 M-11.37 13.22 C-9.9 8.92, -10.46 5.55, -10.62 -0.75 M-10.55 12.4 C-10.55 8.45, -9.86 3.09, -9.43 0.39 M-10.13 0.33 C-9.95 -0.91, -9.94 -1.95, -9.91 -2.69 M-9.93 0.2 C-9.88 -0.7, -9.94 -1.46, -9.82 -2.77 M-9.53 -2.97 C-9.07 -3.27, -8.69 -3.65, -8.21 -4.81 M-9.69 -2.77 C-9.22 -3.34, -8.65 -3.8, -7.92 -4.88 M-7.97 -4.93 C-7.21 -4.92, -6.83 -5.02, -5.77 -5.43 M-8.05 -4.87 C-7.4 -5.04, -6.65 -5.13, -5.53 -5.55 M-5.5 -5.51 C-4.75 -5.21, -3.89 -5.01, -2.79 -5.21 M-5.56 -5.4 C-4.67 -5.35, -3.58 -5.13, -2.94 -5.2 M-2.85 -4.98 C-2.14 -4.49, -1.72 -3.46, -0.66 -2.77 M-2.98 -4.97 C-2.71 -4.72, -2.21 -4.18, -1.04 -2.95 M-0.75 -3.06 C-0.86 -2.12, -0.73 -1.5, -0.05 -0.25 M-1 -3.13 C-0.69 -1.93, -0.19 -0.92, -0.05 -0.04" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(338.1993654611789 295.86290531187746) rotate(0 4.314891930782551 4.314891930782551)"><path d="M2.4 0.69 C3.12 0.19, 4.07 -0.67, 5.05 -0.48 C6.02 -0.29, 7.78 0.83, 8.26 1.83 C8.74 2.83, 7.96 4.73, 7.92 5.55 C7.87 6.36, 8.41 6.32, 8.01 6.73 C7.6 7.14, 6.54 7.78, 5.48 8.01 C4.41 8.23, 2.5 8.44, 1.62 8.06 C0.73 7.68, 0.39 6.62, 0.17 5.72 C-0.04 4.82, -0.2 3.51, 0.33 2.66 C0.86 1.81, 3.02 0.98, 3.37 0.61 C3.71 0.24, 2.45 0.51, 2.4 0.45 M3.12 0.81 C4.22 1.16, 6.94 1.79, 8.03 2.14 C9.12 2.49, 9.89 2.03, 9.65 2.91 C9.41 3.8, 7.29 6.72, 6.58 7.45 C5.87 8.19, 5.87 7.42, 5.38 7.31 C4.88 7.21, 4.32 7.21, 3.63 6.83 C2.94 6.46, 1.67 5.76, 1.24 5.06 C0.8 4.36, 0.89 3.34, 1.02 2.66 C1.15 1.98, 1.57 1.53, 2.01 0.99 C2.44 0.45, 3.44 -0.29, 3.62 -0.58 C3.8 -0.88, 3.05 -0.93, 3.09 -0.77" stroke="none" stroke-width="0" fill="#669df6"></path><path d="M5.09 -0.39 C6.01 -0.23, 7.51 1.11, 7.99 1.89 C8.47 2.68, 7.96 3.4, 7.98 4.33 C8 5.27, 8.55 6.71, 8.12 7.49 C7.69 8.27, 6.56 8.92, 5.41 9 C4.26 9.09, 2.06 8.45, 1.21 8.01 C0.36 7.56, 0.36 7.3, 0.33 6.34 C0.31 5.38, 0.72 3.18, 1.06 2.24 C1.41 1.31, 1.77 0.97, 2.41 0.74 C3.05 0.5, 4.37 0.89, 4.91 0.83 C5.45 0.77, 5.65 0.36, 5.65 0.39 M6.3 -0.03 C7.39 -0.29, 7.68 -0.4, 8.22 0.23 C8.76 0.86, 9.39 2.5, 9.53 3.74 C9.67 4.99, 9.79 6.99, 9.04 7.69 C8.3 8.4, 6.16 8.13, 5.07 7.99 C3.97 7.85, 3.33 7.07, 2.47 6.85 C1.61 6.63, 0.41 7.49, -0.1 6.65 C-0.61 5.81, -1.07 2.62, -0.58 1.8 C-0.1 0.98, 2.06 1.82, 2.8 1.74 C3.53 1.65, 3.65 1.69, 3.82 1.28 C3.98 0.87, 3.63 -0.39, 3.8 -0.71" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(380.4458720612615 318.8386565420603) rotate(44.99999999999995 -9.160623709567972 24.432875927701105)" fill-rule="evenodd"><path d="M0.89 1.85 L-6.9 48.93 L-9.04 54.48 L-11.81 53.92 L-13.07 55.96 L-19.28 51 L-17.57 51.69 L-11.51 0.42 L-11.37 -2.76 L-8.15 -6.28 L-4.45 -7.27 L-4.48 -3.3 L-0.74 -1.65" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.19 -0.07 C-3.69 19.03, -6.27 40.54, -9.5 50.07 M0.44 -0.95 C-2.71 17.58, -4.98 35.8, -8.8 50.28 M-8.1 50.08 C-8.68 51.09, -8.97 51.7, -9.4 53.15 M-8.1 49.98 C-8.44 50.92, -9 51.63, -9.54 52.73 M-9.8 53.01 C-10.09 52.99, -10.82 53.37, -12.52 54.23 M-9.71 52.86 C-10.22 53.16, -10.77 53.43, -12.43 54.32 M-12.21 54.11 C-12.93 54.11, -13.9 54.26, -14.73 54.22 M-12.3 54.16 C-13.03 54.26, -13.82 54.23, -14.78 54.09 M-14.49 54.43 C-15.54 53.43, -15.74 53.26, -17.89 52.27 M-14.62 54.1 C-15.29 53.73, -16.02 53.21, -17.79 51.93 M-17.52 52.2 C-17.92 51.37, -17.76 51.02, -18.26 49.66 M-17.52 51.92 C-17.9 51.21, -18.12 50.61, -18.36 49.66 M-18.76 49.08 C-16.52 30.84, -11.27 14.31, -11.1 -1.12 M-18.08 49.1 C-14.74 36.52, -13.18 23.37, -10.67 -0.34 M-10.1 -0.13 C-10.09 -0.86, -9.8 -1.94, -9.72 -2.61 M-10.11 0.22 C-10.01 -0.87, -9.84 -1.7, -9.58 -2.64 M-9.6 -2.53 C-9.56 -3.2, -9.08 -3.61, -7.85 -4.75 M-9.58 -2.67 C-9.15 -3.4, -8.84 -3.79, -8.07 -4.74 M-8.06 -4.65 C-7.6 -4.87, -6.98 -5.25, -5.81 -5.57 M-7.95 -4.75 C-7.39 -4.96, -6.92 -5.03, -5.69 -5.43 M-5.71 -5.3 C-4.61 -5.5, -3.89 -5.45, -2.98 -4.95 M-5.57 -5.43 C-4.56 -5.44, -3.64 -5.15, -2.99 -5.01 M-3.17 -4.9 C-2.05 -4.17, -1.87 -3.5, -0.65 -2.83 M-3.11 -5.06 C-2.35 -4.25, -1.56 -3.56, -1.04 -2.88 M-1.1 -2.77 C-0.74 -2.42, -0.33 -1.13, -0.06 -0.14 M-0.84 -2.91 C-0.82 -2.41, -0.54 -1.84, -0.15 -0.12" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(304.0392196181094 319.1412658320964) rotate(135.00000000000006 9.452692306464428 24.409602642770835)" fill-rule="evenodd"><path d="M1.3 -1.09 L8.72 51.64 L10.09 52.54 L14 56.02 L13.07 53.14 L18.35 53.95 L16.79 50.05 L8.32 0.11 L9.57 -4.24 L9.2 -6.54 L4.21 -3.7 L3.24 -3.78 L2.74 -1.22" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.06 -0.91 C3.54 17.45, 4.23 33.53, 9.19 50.84 M-0.05 0.07 C3.5 17.6, 5.1 33.77, 8.35 49.72 M8.15 50.19 C8.81 50.95, 9.39 52.42, 9.54 53 M8.34 50.1 C8.5 50.59, 8.83 51.14, 9.52 52.94 M9.79 52.63 C10.49 52.95, 10.75 53.51, 12.11 54.43 M9.52 52.87 C10.25 53.15, 10.78 53.6, 12.36 54.13 M12.5 54.1 C13.22 54.26, 14.25 54.24, 14.73 54.19 M12.36 54.26 C13.16 54.25, 14.04 54.12, 14.62 54.24 M14.52 53.86 C15.92 53.36, 16.48 52.89, 17.27 52.22 M14.77 54.19 C15.24 53.65, 15.81 53.15, 17.54 52.02 M17.49 51.94 C18.07 51.32, 18.17 50.21, 18.4 49.75 M17.57 51.97 C17.79 51.37, 18.01 50.38, 18.37 49.8 M17.29 48.33 C17.45 35.8, 12.79 21.5, 9.47 -1.42 M19.21 50.17 C15.33 32.34, 11.4 12.82, 10.63 0.03 M9.78 0.18 C9.91 -0.57, 9.83 -1.18, 9.81 -2.68 M9.87 0.1 C9.89 -0.61, 9.97 -1.47, 9.57 -2.63 M9.51 -2.78 C9.1 -3.38, 8.81 -3.96, 7.94 -4.74 M9.79 -2.85 C9.18 -3.23, 8.72 -3.79, 7.93 -4.66 M7.88 -4.69 C7.21 -5.12, 6.37 -5.28, 5.43 -5.57 M8.12 -4.82 C7.54 -4.89, 6.88 -5.02, 5.63 -5.51 M5.9 -5.61 C4.95 -5.51, 3.88 -5.05, 3.25 -5.15 M5.74 -5.59 C4.92 -5.32, 4.15 -5.16, 3.1 -5.02 M3.32 -4.9 C2.22 -4.37, 2.21 -3.82, 1.19 -3.2 M2.95 -5.08 C2.34 -4.63, 1.8 -3.87, 0.89 -3.02 M0.88 -3.22 C0.68 -1.63, 0.17 -0.91, -0.31 -0.18 M0.88 -3.01 C0.68 -2.04, 0.18 -1.11, 0.07 0.14" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(332.99149860910063 355.6289881363263) rotate(0 8.978605359801577 9.494896604303449)"><path d="M5.64 1.41 C7.36 0.62, 11.03 -0.32, 13.03 0.21 C15.02 0.74, 16.9 2.66, 17.62 4.59 C18.35 6.51, 17.93 9.65, 17.39 11.76 C16.85 13.87, 15.86 16.02, 14.37 17.23 C12.89 18.44, 10.3 19.1, 8.49 19.02 C6.69 18.94, 5.03 18.11, 3.51 16.75 C1.99 15.38, -0.31 12.99, -0.63 10.84 C-0.95 8.69, 0.26 5.7, 1.61 3.85 C2.97 2.01, 6.5 0.54, 7.51 -0.23 C8.53 -1, 7.63 -1.05, 7.72 -0.74 M10.53 1.3 C12.08 1.77, 15.07 2.09, 16.46 3.46 C17.85 4.82, 18.98 7.51, 18.85 9.51 C18.71 11.5, 17.11 13.96, 15.65 15.43 C14.19 16.89, 12.07 18.04, 10.07 18.3 C8.06 18.56, 5.44 18.26, 3.63 17 C1.83 15.74, -0.09 12.9, -0.75 10.74 C-1.41 8.58, -1.29 5.74, -0.32 4.04 C0.65 2.35, 2.85 1.05, 5.07 0.56 C7.3 0.07, 11.71 1.23, 13.01 1.12 C14.32 1.01, 13.23 -0.39, 12.9 -0.12" stroke="none" stroke-width="0" fill="#4285f4"></path><path d="M11.06 0.56 C13.05 0.85, 15.23 2.37, 16.22 3.86 C17.21 5.34, 17.06 7.43, 17.01 9.48 C16.96 11.53, 16.86 14.7, 15.91 16.17 C14.96 17.63, 13.18 17.97, 11.31 18.25 C9.45 18.53, 6.57 18.66, 4.72 17.86 C2.88 17.06, 0.87 15.36, 0.23 13.45 C-0.41 11.54, 0.17 8.34, 0.86 6.4 C1.55 4.45, 2.48 2.83, 4.36 1.78 C6.24 0.72, 10.61 0.03, 12.13 0.09 C13.65 0.14, 13.59 1.81, 13.49 2.1 M6.78 1.47 C8.24 0.58, 9.79 -0.41, 11.45 -0.15 C13.1 0.11, 15.68 1.11, 16.69 3.02 C17.7 4.94, 17.89 9.32, 17.49 11.36 C17.1 13.39, 15.54 13.8, 14.33 15.25 C13.12 16.71, 12.21 19.56, 10.23 20.07 C8.26 20.59, 4.33 19.88, 2.48 18.34 C0.63 16.8, -0.63 13.2, -0.9 10.83 C-1.16 8.46, -0.33 5.94, 0.87 4.11 C2.07 2.28, 5.78 0.38, 6.32 -0.14 C6.85 -0.67, 4.26 0.66, 4.1 0.96" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round" transform="translate(338.2795294725021 361.221093399484) rotate(0 3.6905744964001315 3.9027913411457575)"><path d="M4.42 -0.54 C5.4 -0.81, 6.42 -0.23, 6.85 0.45 C7.28 1.13, 7.03 2.6, 7.02 3.55 C7.01 4.51, 7.15 5.49, 6.78 6.17 C6.4 6.86, 5.4 7.4, 4.76 7.68 C4.11 7.95, 3.75 8.1, 2.91 7.8 C2.07 7.5, 0.15 6.74, -0.29 5.86 C-0.73 4.99, -0.05 3.47, 0.26 2.56 C0.57 1.65, 1.01 0.99, 1.57 0.41 C2.13 -0.16, 2.98 -0.94, 3.62 -0.87 C4.27 -0.81, 5.2 0.48, 5.43 0.81 M2.43 -0.96 C3.52 -1.61, 5.26 -1.45, 6.15 -1.13 C7.04 -0.82, 7.41 0.06, 7.75 0.93 C8.1 1.81, 8.45 3.08, 8.19 4.11 C7.93 5.15, 7.12 6.63, 6.18 7.15 C5.25 7.66, 3.64 7.42, 2.56 7.21 C1.48 7, 0.25 6.36, -0.28 5.87 C-0.82 5.39, -0.98 4.86, -0.64 4.28 C-0.31 3.69, 1.01 3.19, 1.74 2.37 C2.46 1.55, 3.65 -0.51, 3.71 -0.65 C3.77 -0.78, 2.1 1.31, 2.09 1.56" stroke="none" stroke-width="0" fill="white"></path><path d="M4.08 0.44 C4.59 0.32, 4.59 0.33, 5.14 0.9 C5.7 1.46, 6.98 3.08, 7.4 3.81 C7.82 4.55, 8.04 4.64, 7.67 5.29 C7.3 5.95, 6.1 7.24, 5.17 7.74 C4.24 8.24, 2.82 8.58, 2.09 8.29 C1.36 8, 1.15 6.76, 0.78 6 C0.42 5.23, -0.23 4.62, -0.09 3.7 C0.05 2.78, 0.87 0.94, 1.64 0.48 C2.42 0.01, 4.11 0.9, 4.54 0.92 C4.98 0.94, 4.47 0.57, 4.24 0.59 M3.02 -0.51 C3.57 -1.01, 5.19 -1.34, 5.82 -0.69 C6.45 -0.04, 6.7 2.59, 6.79 3.41 C6.87 4.22, 6.42 3.34, 6.32 4.17 C6.22 5.01, 6.95 7.63, 6.2 8.43 C5.45 9.23, 2.92 9.45, 1.83 8.97 C0.74 8.48, -0.01 6.54, -0.33 5.49 C-0.65 4.45, -0.44 3.54, -0.09 2.69 C0.27 1.84, 1.5 0.84, 1.81 0.4 C2.11 -0.03, 1.58 0.1, 1.74 0.06 C1.89 0.02, 2.43 0.17, 2.73 0.17" stroke="#1864ab" stroke-width="1" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(670.4913527829814 237.84652958963937) rotate(0 23.67584090865995 18.256447627274724)" fill-rule="evenodd"><path d="M-0.96 -0.49 L-0.62 20.73 L33.93 37.73 L48.75 26.42 L-0.45 -1.12" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-1.83 1.04 C0.12 7.38, 0.5 11.34, -0.08 20.76 M0.8 -0.07 C0.56 5.94, -0.39 12.01, 0.85 19.18 M2.38 18.42 C12.67 24.24, 23.28 32.12, 35.22 38.33 M-0.46 19.38 C8.43 24.15, 18.5 30.05, 33.46 37.45 M34.38 37.24 C38.66 34.88, 42.12 29.41, 48.82 26.23 M33.91 37.82 C37.51 34.54, 41.27 32.66, 47.69 27.62 M49.18 25.82 C31.62 18.77, 16.1 11.77, 0.38 -1.82 M47.09 27.21 C31.5 18.43, 17.06 9.11, -0.29 -0.04 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(671.1565602800189 316.5405488791202) rotate(0 -23.534335755077763 -2.3901035630290153)" fill-rule="evenodd"><path d="M-1.1 0.98 L0.29 18.23 L-46.05 -6.09 L-47.46 -25.42 L1.26 -1.42" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.07 1.08 C0.1 3.43, -0.73 9.82, 0.18 19.46 M0.27 -0.26 C-0.62 4.49, 0.45 9.24, 0.28 17.7 M0.97 16.43 C-10.72 12.32, -20.23 7.5, -47.94 -5.54 M-1.03 18.21 C-18.38 9.5, -37.51 -1.39, -47.15 -5.66 M-46.55 -5.07 C-47.51 -14.36, -45.79 -20.78, -48.03 -24.24 M-46.74 -6.27 C-46.35 -12.21, -46.96 -18.48, -46.89 -23.52 M-47.77 -23.73 C-35.72 -15.68, -21.51 -13.02, 0.63 -1.3 M-47.43 -23.85 C-31.18 -16.74, -17.32 -9.01, 0.69 -0.09 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(670.8153192365786 345.81363017757343) rotate(0 -23.99410972926711 -2.2340078102110397)" fill-rule="evenodd"><path d="M0.38 -0.11 L1.16 18.01 L-47.75 -6.87 L-45.75 -25.73 L-1.99 -0.44" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.29 -1.02 C-0.54 7.41, 0.22 14.06, -0.71 19.83 M-0.75 -0.4 C0.37 4.84, 0.38 10.11, -0.75 19.22 M0.3 18.14 C-9.57 12.75, -22.9 6.86, -45.35 -7.63 M0.17 19.26 C-12.36 11.56, -24.52 5.72, -46.4 -5.29 M-47.53 -7.12 C-45.93 -11.23, -48.25 -15.56, -45.76 -23.57 M-46.38 -5.39 C-47.13 -10.37, -47.12 -16, -47.34 -23.53 M-48.39 -22.34 C-34.81 -20.1, -22.64 -13.42, 0.4 -0.83 M-46.12 -24.3 C-31.16 -16.17, -13.93 -7.81, -0.17 0.85 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(669.9385541002558 316.4617888034408) rotate(0 24.062819897133608 -3.6173875949903618)" fill-rule="evenodd"><path d="M1.25 -0.33 L-0.36 17.23 L48.57 -7.18 L45.02 -24.75 L-1.27 1.71" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.51 0.94 C0.33 7.7, -0.52 14.66, -0.04 18.89 M0.35 -0.53 C0.25 4.35, -0.76 10.86, -0.52 18.83 M1.77 18.83 C9.05 13.69, 21.28 6.68, 46.56 -7.64 M0 17.95 C13.73 11.1, 28.02 4.55, 46.96 -5.35 M48.68 -6.3 C46.21 -11.95, 48.38 -17.52, 46.96 -23.17 M47.51 -4.85 C47.17 -9.51, 46.65 -14.05, 46.58 -24.66 M47.4 -26.13 C32.02 -17.15, 16.32 -8.68, 0.91 -0.84 M46.72 -24.35 C31.66 -15.98, 14.53 -6.64, 0.26 0.79 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(670.155743987909 346.2217959296153) rotate(0 23.41967072054686 -3.5223489075464727)" fill-rule="evenodd"><path d="M-0.45 -1.12 L1.36 16.93 L45.31 -6.2 L45.74 -22.59 L-0.63 1.33" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M0.27 1.12 C-0.65 5.98, -0.14 9.52, -0.42 16.85 M0.37 -0.64 C-0.56 5.59, -0.49 9.91, -0.79 18.52 M-0.54 18.57 C15.53 9.37, 26.52 2.37, 47.04 -5.24 M0.24 18.44 C19.49 9.56, 36.73 0.07, 47.67 -5.88 M46.28 -5.69 C48.35 -9.22, 46.98 -13.03, 45.99 -22.46 M47.43 -4.97 C46.84 -11.27, 46.64 -18.7, 47.28 -24.94 M47.65 -25.61 C28.74 -15.88, 10.53 -6.21, 0.92 1.78 M47.71 -24.4 C32.65 -16.18, 18.95 -8.93, -0.87 -0.54 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(670.6667672100176 237.4698273637336) rotate(0 -23.095460222826546 19.00351926145504)" fill-rule="evenodd"><path d="M1.26 -1.42 L-2.46 19.31 L-34.82 39.56 L-48.13 28.08 L-1.42 -1.6" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.67 1.6 C-0.28 7.53, -0.85 12.26, -1.33 20.49 M-0.71 0.94 C-0.69 5.3, -1.09 9.75, -0.57 20.58 M1.48 17.88 C-12.01 23.77, -22.26 32.04, -31.72 37.66 M0.43 20.21 C-9.42 24.91, -17.34 29.1, -34.28 38.59 M-32.35 38.55 C-37.32 35.93, -42.04 33.61, -46.8 27.14 M-33.86 38.59 C-39.52 33.22, -44.39 28.54, -46.63 26.92 M-47.1 25.92 C-36.74 20.63, -26.81 17.66, 0.01 -0.59 M-47.67 27.6 C-33.38 19.68, -20.47 10.44, -0.56 -0.06 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(670.6780786527294 287.38476821284024) rotate(0 -23.604361039621665 -3.0258210236347054)" fill-rule="evenodd"><path d="M-1.99 -0.44 L-1.36 20.06 L-47.94 -4.43 L-48.43 -25.91 L-0.6 1.94" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.13 0.55 C-0.61 5.12, -0.92 13.93, -1.16 19.09 M-0.61 0.48 C-1.03 4.4, -0.27 9.2, 0.13 18.05 M-0.84 16.46 C-15.27 10.92, -27.87 2.72, -48.08 -5.45 M-0.43 18.75 C-14.56 10.97, -30.29 4.37, -47.59 -6.31 M-47.36 -4.62 C-48.37 -9.54, -46.52 -16.62, -45.21 -24.05 M-47.74 -6.11 C-46.86 -13.53, -46.11 -19.84, -47.86 -24.01 M-46.1 -25.14 C-35.01 -16.62, -24.88 -13.28, -0.09 1.39 M-46.75 -23.52 C-34.24 -18.17, -20.25 -10.62, 0.88 -0.7 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(669.9778154971974 287.3096994061677) rotate(0 23.725142187713203 -2.8570663215112404)" fill-rule="evenodd"><path d="M-1.27 1.71 L-0.54 19.67 L45.89 -7.36 L46.42 -22.36 L0.93 1.31" stroke="none" stroke-width="0" fill="#669df6" fill-rule="evenodd"></path><path d="M-0.51 -1.5 C-0.77 7.68, -1.01 14.73, -1.2 17.03 M-0.88 0.18 C-0.18 8.02, 0.17 14.22, 0.19 19.24 M-0.17 18.86 C11.76 13.63, 18.9 9.14, 47.5 -3.95 M0.46 18.22 C15.8 10.54, 32.61 0.9, 47.34 -5.08 M46.27 -3.91 C47.94 -11.66, 48.92 -18.11, 48.58 -24.95 M47.57 -6.39 C48.19 -12.71, 46.32 -19.72, 46.41 -24.12 M47.93 -22.52 C34.97 -18.8, 22.72 -10.54, -0.18 -0.34 M46.15 -24.84 C28.43 -14.65, 11.78 -5.93, -0.34 0.31 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(620.8773193359376 297.8135462295758) rotate(0 50.09996032714844 12.5)"><text x="50.09996032714844" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud SQL</text></g><g transform="translate(291.90450286865246 292.3135462295758) rotate(0 48.689964294433594 12.5)"><text x="48.689964294433594" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Vertex AI</text></g><g stroke-linecap="round"><g transform="translate(508.852949188195 457.5078490765231) rotate(0 1.611906143408305 -26.891907218117353)" fill-rule="evenodd"><path d="M1.6 0.08 L19.59 0.59 L4.7 -45.42 L-11.98 -53.08 L-0.18 -0.93" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M0.26 -1.55 C5.71 1.56, 11.67 1.41, 18.02 0.23 M-0.29 -0.22 C6.66 -0.82, 12.79 -0.63, 17.59 -0.53 M17.38 0.24 C13.02 -10.38, 12.75 -21.73, 5.93 -47.02 M17.29 -0.73 C13.36 -17.49, 7.92 -37.32, 5.03 -46.07 M3.67 -47.7 C-2.38 -47.03, -7.51 -51.2, -13.94 -55.46 M5.3 -46.04 C0.57 -48.39, -5.62 -50.08, -13.07 -53.69 M-14.79 -52.71 C-10.3 -42.48, -7.18 -30.7, 0.37 1.67 M-12.71 -54.6 C-11.03 -40.87, -7.09 -24.8, -0.67 0.15 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(544.7862299699451 457.3292627112318) rotate(0 18.371775411603323 -26.454961940906287)" fill-rule="evenodd"><path d="M-0.28 0.43 L55.85 -2.13 L-17.53 -51.75 L-1.46 0.11" stroke="none" stroke-width="0" fill="#aecbfa" fill-rule="evenodd"></path><path d="M-0.74 1.75 C13.7 2.04, 30.27 0.72, 55.5 0.9 M0.28 -0.99 C13.54 -0.66, 27.16 -0.47, 53.41 -0.83 M52.21 -0.56 C27.46 -21.71, 0.82 -41.3, -16.28 -54.7 M54.75 0.56 C35.58 -15.49, 16.73 -28.76, -17.71 -52.1 M-18.76 -51.07 C-13.2 -38.94, -9.74 -27.62, -0.7 -0.28 M-17.43 -53.17 C-14.26 -40.47, -8.97 -28.04, -0.9 -0.61 M0.03 -1.04 C0.03 -0.66, 0.02 -0.28, -0.04 -0.06 M-0.02 -1.13 C0 -0.79, -0.02 -0.55, -0.03 -0.03" stroke="#669df6" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(579.8326976656535 511.25594141274536) rotate(180 -18.14742575266706 -25.974598108229486)" fill-rule="evenodd"><path d="M1.64 -1.92 L-53.52 1.01 L16.74 -51.77 L1.9 -2.49" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M-1.2 1.62 C-10.99 0.79, -21.66 1.49, -55.2 -0.86 M-0.05 -0.74 C-14.92 -1.1, -30.63 -1.27, -53.43 -0.31 M-53.62 -1.87 C-29.44 -18.05, -5.96 -35.16, 17.48 -53.57 M-53.96 -1.15 C-36.99 -13.53, -19.87 -24.74, 17.74 -53.42 M18.91 -52.14 C13.97 -43.22, 10 -31.06, -1.4 0.34 M17.6 -52.53 C14.16 -38.16, 7.89 -24.6, 0.28 -1.73 M0 -1.02 C0.01 -0.57, -0.04 -0.29, -0.06 0.09 M-0.05 -1.05 C-0.06 -0.76, -0.05 -0.47, -0.01 0.01" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(511.79824357937287 512.6284232964774) rotate(180 -1.7994813505864613 -26.98091937820601)" fill-rule="evenodd"><path d="M1.53 1.49 L-17.78 -1.01 L-6.23 -44.18 L15.45 -56.18 L-1.45 1.31" stroke="none" stroke-width="0" fill="#4285f4" fill-rule="evenodd"></path><path d="M0.42 0.31 C-5.69 1.08, -14.51 -0.5, -18.04 0.4 M-0.01 -0.44 C-4.24 -0.69, -6.38 -0.26, -17.46 -0.96 M-16.25 -1.38 C-12.12 -14.6, -11.13 -26.34, -5.88 -44.66 M-17.15 -0.43 C-12.3 -16.29, -8.4 -34.8, -5.57 -46 M-5.02 -46.62 C1.8 -48.48, 8.29 -51.36, 12.89 -52.98 M-4.14 -44.86 C-0.39 -47.81, 5.89 -51.39, 14.44 -54.49 M13.88 -52.89 C8.36 -37.08, 3.31 -15.79, -0.06 -1.62 M12.84 -54.42 C9.84 -43.63, 7.45 -31.37, 0.82 -0.96 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0" stroke="#1864ab" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(498.22278594970714 440.8955774795758) rotate(0 48.109962463378906 12.5)"><text x="48.109962463378906" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Cloud Run</text></g><g stroke-linecap="round"><g transform="translate(158.16868591308605 124.30806050971745) rotate(0 43.709237629547715 0.2449568493619836)"><path d="M-0.69 1 C13.83 1.29, 73.27 1.29, 88.11 0.95 M1.15 0.48 C15.47 0.51, 72.99 -0.59, 87.47 -0.72" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(158.16868591308605 124.30806050971745) rotate(0 43.709237629547715 0.2449568493619836)"><path d="M61.09 10.91 C71.62 7.42, 78.98 3.9, 86.93 -2.48 M59.1 9.9 C68.87 7.09, 78.69 3.22, 87.57 -1.17" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(158.16868591308605 124.30806050971745) rotate(0 43.709237629547715 0.2449568493619836)"><path d="M60.79 -9.61 C71.3 -5.27, 78.77 -0.96, 86.93 -2.48 M58.8 -10.62 C68.57 -6.57, 78.49 -3.59, 87.57 -1.17" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(377.36179203353834 121.80803669079188) rotate(0 41.29795266559347 -0.6863319688425804)"><path d="M0.07 -0.9 C13.88 -1.05, 69.79 -0.61, 83.95 -0.88 M-1.36 1.24 C12.17 0.76, 68.47 -2.12, 82.81 -2.62" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(377.36179203353834 121.80803669079188) rotate(0 41.29795266559347 -0.6863319688425804)"><path d="M53.59 8.24 C67.12 5.57, 75.11 0.53, 84.13 -2.75 M54.27 8.88 C62.96 6.24, 69.49 3.56, 81.9 -2.15" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(377.36179203353834 121.80803669079188) rotate(0 41.29795266559347 -0.6863319688425804)"><path d="M52.7 -12.26 C66.57 -6.95, 74.91 -4.01, 84.13 -2.75 M53.38 -11.62 C62.3 -8.76, 69.07 -5.95, 81.9 -2.15" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(476.2646052971297 181.20450382530038) rotate(0 -36.97989850917833 36.627891578767446)"><path d="M-1.02 -0.48 C-13.36 11.93, -61.63 61.33, -74.19 73.97 M0.64 -1.77 C-11.75 10.81, -62.15 62.53, -74.6 75.03" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(476.2646052971297 181.20450382530038) rotate(0 -36.97989850917833 36.627891578767446)"><path d="M-62.94 49.44 C-67.33 53.5, -68.62 63.57, -75.58 74.68 M-62.97 46.81 C-66.08 54.33, -67.67 61.22, -74.69 75.39" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(476.2646052971297 181.20450382530038) rotate(0 -36.97989850917833 36.627891578767446)"><path d="M-48.31 63.83 C-56.82 63.65, -62.28 69.62, -75.58 74.68 M-48.34 61.2 C-55.31 65.11, -60.72 68.24, -74.69 75.39" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(586.9869554534004 181.02549840080832) rotate(0 26.648184225372972 30.259389971774056)"><path d="M0.91 0.57 C9.48 10.83, 42.62 50.94, 51.1 60.69 M-0.07 -0.17 C8.9 9.86, 44.86 49.1, 53.37 59.16" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(586.9869554534004 181.02549840080832) rotate(0 26.648184225372972 30.259389971774056)"><path d="M27.95 43.46 C36 48.35, 40.56 50.87, 52.27 60.9 M26.23 44.37 C35.21 50.32, 43.3 55, 53.99 59.03" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(586.9869554534004 181.02549840080832) rotate(0 26.648184225372972 30.259389971774056)"><path d="M43.31 29.85 C47.05 38.59, 47.39 44.84, 52.27 60.9 M41.59 30.76 C45.6 41.03, 48.79 50.05, 53.99 59.03" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(578.738998413086 424.6924524795758) rotate(0 29.533993580034007 -31.292002378841858)"><path d="M0.19 -0.14 C10.26 -10.27, 50.14 -50.31, 60.23 -60.68 M-1.16 -1.26 C8.78 -11.74, 49.19 -52.4, 59.45 -62.44" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(578.738998413086 424.6924524795758) rotate(0 29.533993580034007 -31.292002378841858)"><path d="M46.47 -34.75 C51.5 -41.78, 52.42 -49.3, 58.26 -60.88 M46.83 -35.36 C50.5 -44.7, 54.22 -52.6, 58.95 -63.22" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(578.738998413086 424.6924524795758) rotate(0 29.533993580034007 -31.292002378841858)"><path d="M32 -49.3 C41.21 -52.15, 46.3 -55.47, 58.26 -60.88 M32.35 -49.9 C40.8 -54.47, 49.32 -57.54, 58.95 -63.22" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(483.78977966308605 412.6612024795758) rotate(0 -43.4621631307993 -39.59424593022095)"><path d="M0.48 -0.66 C-13.78 -13.81, -72.22 -66.1, -86.65 -79.19 M-0.73 1.61 C-15.02 -11.83, -73.14 -67.03, -87.4 -80.8" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(483.78977966308605 412.6612024795758) rotate(0 -43.4621631307993 -39.59424593022095)"><path d="M-61.03 -68.12 C-63.99 -69.53, -69.7 -72.22, -88.18 -80.02 M-58.96 -68.49 C-69.27 -73.37, -79.25 -77.26, -87.24 -80.73" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(483.78977966308605 412.6612024795758) rotate(0 -43.4621631307993 -39.59424593022095)"><path d="M-75.21 -53.29 C-75.19 -57.84, -77.96 -63.6, -88.18 -80.02 M-73.14 -53.66 C-78.48 -63.7, -83.57 -72.7, -87.24 -80.73" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(58.27688635896425 463.1730331274934) rotate(0 22.339981079101562 12.5)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">User</text></g><g stroke-linecap="round"><g transform="translate(55.48966571045685 453.52010711751467) rotate(0 25.819645202628976 -21.795699329337083)" fill-rule="evenodd"><path d="M13.47 -38.64 C13.47 -38.64, 13.47 -38.64, 13.47 -38.64 M13.47 -38.64 C13.47 -38.64, 13.47 -38.64, 13.47 -38.64 M7.04 -19.05 C12.44 -25.26, 17.83 -31.47, 26.72 -41.69 M7.04 -19.05 C13.65 -26.66, 20.26 -34.26, 26.72 -41.69 M0.61 0.53 C9.72 -9.94, 18.83 -20.42, 35.39 -39.47 M0.61 0.53 C7.72 -7.64, 14.83 -15.82, 35.39 -39.47 M11.24 0.5 C19.23 -8.69, 27.21 -17.87, 40.77 -33.46 M11.24 0.5 C19.76 -9.29, 28.27 -19.09, 40.77 -33.46 M21.87 0.47 C26.89 -5.31, 31.91 -11.08, 46.81 -28.21 M21.87 0.47 C30.94 -9.96, 40 -20.38, 46.81 -28.21 M29.22 4.2 C34.27 -1.6, 39.31 -7.4, 50.87 -20.7 M29.22 4.2 C33.6 -0.83, 37.98 -5.86, 50.87 -20.7 M41.82 1.91 C47.06 -4.12, 52.3 -10.15, 54.94 -13.19 M41.82 1.91 C46.35 -3.3, 50.87 -8.51, 54.94 -13.19 M0 0 C0 0, 0 0, 0 0 M0 0 C0 0, 0 0, 0 0 M12.04 -0.13 C8.7 -3.03, 5.37 -5.94, 1.47 -9.32 M12.04 -0.13 C9.11 -2.68, 6.18 -5.23, 1.47 -9.32 M24.84 0.39 C20.18 -3.66, 15.53 -7.7, 2.95 -18.64 M24.84 0.39 C17.47 -6.02, 10.1 -12.42, 2.95 -18.64 M30.08 -5.65 C20.88 -13.65, 11.67 -21.66, 6.69 -25.99 M30.08 -5.65 C23.48 -11.39, 16.87 -17.14, 6.69 -25.99 M45.9 -2.5 C33.58 -13.21, 21.25 -23.93, 9.67 -33.99 M45.9 -2.5 C32.33 -14.3, 18.75 -26.1, 9.67 -33.99 M52.66 -7.23 C39.15 -18.97, 25.65 -30.71, 14.92 -40.03 M52.66 -7.23 C38.58 -19.46, 24.51 -31.69, 14.92 -40.03 M51.11 -19.17 C43.44 -25.84, 35.76 -32.51, 20.92 -45.41 M51.11 -19.17 C44.83 -24.63, 38.55 -30.09, 20.92 -45.41" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M0 0 C0.92 -4.85, 1.58 -21.76, 5.52 -29.07 C9.46 -36.38, 17.61 -43.34, 23.65 -43.87 C29.69 -44.4, 37.51 -39.05, 41.78 -32.24 C46.05 -25.43, 56.23 -8.39, 49.27 -3.02 C42.31 2.36, 8.21 -0.5, 0 0 M0 0 C0.92 -4.85, 1.58 -21.76, 5.52 -29.07 C9.46 -36.38, 17.61 -43.34, 23.65 -43.87 C29.69 -44.4, 37.51 -39.05, 41.78 -32.24 C46.05 -25.43, 56.23 -8.39, 49.27 -3.02 C42.31 2.36, 8.21 -0.5, 0 0" stroke="#000000" stroke-width="2" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(67.94353654677252 386.82905933165824) rotate(0 12.612971703843186 11.036350240862816)"><path d="M2.98 3.91 C2.98 3.91, 2.98 3.91, 2.98 3.91 M2.98 3.91 C2.98 3.91, 2.98 3.91, 2.98 3.91 M2.45 16.71 C7.04 11.44, 11.62 6.17, 16.23 0.86 M2.45 16.71 C6.58 11.96, 10.71 7.2, 16.23 0.86 M8.49 21.96 C14.03 15.58, 19.57 9.21, 23.58 4.6 M8.49 21.96 C13.1 16.66, 17.7 11.36, 23.58 4.6 M4.36 19.37 C4.36 19.37, 4.36 19.37, 4.36 19.37 M4.36 19.37 C4.36 19.37, 4.36 19.37, 4.36 19.37 M17.91 20.55 C13.98 17.12, 10.04 13.7, 1.31 6.11 M17.91 20.55 C12.76 16.07, 7.6 11.58, 1.31 6.11 M24.67 15.82 C19.68 11.48, 14.68 7.14, 7.31 0.73 M24.67 15.82 C18.24 10.23, 11.81 4.64, 7.31 0.73" stroke="#ced4da" stroke-width="1" fill="none"></path><path d="M25.23 11.04 C25.23 11.68, 25.16 12.32, 25.03 12.95 C24.91 13.58, 24.71 14.21, 24.47 14.81 C24.22 15.41, 23.9 16, 23.54 16.55 C23.17 17.11, 22.74 17.64, 22.28 18.13 C21.81 18.62, 21.28 19.08, 20.72 19.49 C20.16 19.9, 19.55 20.27, 18.92 20.59 C18.29 20.91, 17.61 21.19, 16.93 21.41 C16.24 21.63, 15.52 21.79, 14.8 21.91 C14.08 22.02, 13.34 22.07, 12.61 22.07 C11.88 22.07, 11.14 22.02, 10.42 21.91 C9.7 21.79, 8.99 21.63, 8.3 21.41 C7.61 21.19, 6.94 20.91, 6.31 20.59 C5.67 20.27, 5.06 19.9, 4.51 19.49 C3.95 19.08, 3.42 18.62, 2.95 18.13 C2.48 17.64, 2.05 17.11, 1.69 16.55 C1.32 16, 1.01 15.41, 0.76 14.81 C0.51 14.21, 0.32 13.58, 0.19 12.95 C0.06 12.32, 0 11.68, 0 11.04 C0 10.4, 0.06 9.75, 0.19 9.12 C0.32 8.49, 0.51 7.86, 0.76 7.26 C1.01 6.66, 1.32 6.07, 1.69 5.52 C2.05 4.96, 2.48 4.43, 2.95 3.94 C3.42 3.45, 3.95 2.99, 4.51 2.58 C5.06 2.17, 5.67 1.8, 6.31 1.48 C6.94 1.16, 7.61 0.88, 8.3 0.67 C8.99 0.45, 9.7 0.28, 10.42 0.17 C11.14 0.06, 11.88 0, 12.61 0 C13.34 0, 14.08 0.06, 14.8 0.17 C15.52 0.28, 16.24 0.45, 16.93 0.67 C17.61 0.88, 18.29 1.16, 18.92 1.48 C19.55 1.8, 20.16 2.17, 20.72 2.58 C21.28 2.99, 21.81 3.45, 22.28 3.94 C22.74 4.43, 23.17 4.96, 23.54 5.52 C23.9 6.07, 24.22 6.66, 24.47 7.26 C24.71 7.86, 24.91 8.49, 25.03 9.12 C25.16 9.75, 25.19 10.72, 25.23 11.04 C25.26 11.36, 25.26 10.72, 25.23 11.04" stroke="#000000" stroke-width="2" fill="none"></path></g><g stroke-linecap="round"><g transform="translate(80.12962341308594 362.3213587295758) rotate(0 0.6441780905447558 -78.03073704661801)"><path d="M-0.36 -0.9 C-0.12 -26.98, 1.15 -131.2, 1.52 -157.3 M1.65 1.24 C1.69 -24.56, 0.48 -129.49, 0.38 -155.73" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(80.12962341308594 362.3213587295758) rotate(0 0.6441780905447558 -78.03073704661801)"><path d="M9.36 -128.21 C7.93 -136.34, 4.42 -143.21, -0.17 -155.63 M11.46 -127.88 C7.31 -136.49, 5.27 -143.63, -0.45 -155.8" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(80.12962341308594 362.3213587295758) rotate(0 0.6441780905447558 -78.03073704661801)"><path d="M-11.16 -128.04 C-6.27 -136.17, -3.47 -143.08, -0.17 -155.63 M-9.06 -127.72 C-7.48 -136.26, -3.79 -143.45, -0.45 -155.8" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round"><g transform="translate(149.29368591308594 441.1494837295758) rotate(0 157.53237374277785 2.0124790694192143)"><path d="M0.02 0.78 C52.81 1.25, 263.78 2.5, 316.49 2.97 M-1.43 0.14 C51.24 0.7, 262.76 3.15, 315.57 3.89" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(149.29368591308594 441.1494837295758) rotate(0 157.53237374277785 2.0124790694192143)"><path d="M288.55 13.88 C293.16 10.79, 302.05 7.3, 314.92 3.4 M286.72 14.18 C298.42 10.79, 310.03 7.06, 315.56 4.25" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(149.29368591308594 441.1494837295758) rotate(0 157.53237374277785 2.0124790694192143)"><path d="M288.8 -6.64 C293.37 -4.02, 302.18 -1.8, 314.92 3.4 M286.97 -6.34 C298.6 -1.79, 310.11 2.41, 315.56 4.25" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g stroke-linecap="round" transform="translate(92.81712341308594 256.8721399795758) rotate(0 21 24.5)"><path d="M10.45 3.78 C10.45 3.78, 10.45 3.78, 10.45 3.78 M10.45 3.78 C10.45 3.78, 10.45 3.78, 10.45 3.78 M2.74 18.36 C5.17 15.14, 10.04 8.94, 16.55 -0.14 M2.12 18.79 C8.07 13.07, 12.21 9.76, 17.28 2.07 M2.1 26.1 C7.57 16.94, 14.79 11.08, 25.13 0.15 M2.38 24.2 C9.56 18.16, 14.91 9.39, 24.99 -0.17 M1.88 31.01 C9.31 23.09, 15.02 15.55, 26.84 1.61 M2.47 31.29 C9.35 23.71, 14.67 16.21, 26.7 3.52 M1.55 38.59 C11.73 25.87, 20.63 13.97, 32 4.58 M2.37 36.55 C13.21 24.72, 22.89 13.61, 30.96 5.2 M5.69 40.93 C15.56 27.58, 27.86 13.51, 35.53 6.46 M6.18 39.93 C12.99 31.26, 20.97 20.86, 34.42 6.97 M9.65 40.99 C15.42 34.18, 21.65 25.18, 38.39 8.14 M7.98 41.39 C15.47 33.66, 22.22 26.55, 38.35 8.65 M11.65 44.41 C18.66 38, 25.5 29.51, 40.57 14.96 M11.08 46.16 C19.15 37.29, 26.24 27.4, 39.83 13.18 M12.37 49.03 C21.93 39.84, 27.99 32.43, 39.22 18.35 M13.77 48.48 C23.17 37.5, 31.89 28.13, 41.02 17.51 M17.85 47.3 C21.71 42.62, 28.96 37.66, 41.6 20.78 M19.39 49.46 C28.33 37.74, 36.46 27.1, 42.26 22 M22.44 48.47 C27.8 44.27, 30.93 40.66, 45.3 24.25 M23.39 49.56 C28.33 42.26, 36.03 36.66, 45.49 24.13" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M23.61 -0.46 C27.93 -0.1, 33.52 4.85, 36.75 8.68 C39.98 12.51, 42.98 17.53, 42.98 22.53 C42.97 27.52, 39.55 34.31, 36.7 38.66 C33.85 43.02, 30 47.4, 25.88 48.65 C21.76 49.91, 16.11 48.51, 11.97 46.2 C7.84 43.9, 2.79 39.52, 1.07 34.81 C-0.64 30.09, 0.12 23.06, 1.68 17.9 C3.23 12.74, 5.68 6.41, 10.38 3.86 C15.08 1.3, 26.06 2.3, 29.88 2.58 C33.7 2.87, 33.6 5.44, 33.3 5.57 M13.66 3.21 C17.38 0.91, 23.12 0.61, 27.24 1.63 C31.36 2.66, 35.73 5.16, 38.37 9.37 C41.02 13.59, 43.44 21.41, 43.12 26.92 C42.81 32.43, 40.06 38.83, 36.49 42.44 C32.91 46.06, 26.14 48.08, 21.66 48.62 C17.19 49.17, 13.12 48.93, 9.66 45.7 C6.19 42.47, 2.3 34.71, 0.88 29.25 C-0.54 23.79, -0.94 17.35, 1.13 12.92 C3.2 8.5, 11.39 4.25, 13.29 2.68 C15.19 1.11, 12.29 3.35, 12.52 3.51" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(111.25788192369578 269.04802384050544) rotate(0 2.7099990844726562 12.5)"><text x="2.7099990844726562" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">1</text></g><g transform="translate(138.35839080810547 263.7783899795758) rotate(0 35.23998260498047 20)"><text x="35.23998260498047" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">upload</text><text x="35.23998260498047" y="20" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">document</text></g><g transform="translate(155.8634796142578 85.20026497957582) rotate(0 43.871978759765625 10)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">notification</text></g><g stroke-linecap="round" transform="translate(176.1525421142577 30.04401497957582) rotate(0 21 24.5)"><path d="M11.34 3.23 C11.34 3.23, 11.34 3.23, 11.34 3.23 M11.34 3.23 C11.34 3.23, 11.34 3.23, 11.34 3.23 M2.56 17.36 C6.38 14.82, 11.92 9.32, 17.69 0.13 M3.58 18.19 C6.47 14.84, 9.88 10.21, 17.26 1.29 M3.17 25.33 C8.15 17.39, 12.6 13.25, 23.33 0.23 M3.57 24.24 C7.84 19.99, 12.04 14.94, 22.98 0.44 M2.85 28.45 C12.36 19.01, 21.09 11.02, 28.26 2.7 M5.35 29.95 C10.16 24.34, 14.15 16.9, 26.87 4.01 M4.88 34.77 C14.54 28.21, 19.91 15.04, 32.25 3.74 M3.61 35.17 C14.63 24.66, 24.18 13.38, 30.38 5.96 M5.39 38.49 C13.53 31.79, 19.9 26.6, 32.35 5.56 M7.01 39.62 C13.52 30.94, 21.13 22.74, 34.45 6.41 M10.98 42.82 C19.82 27.97, 29.86 15.92, 37.56 7.93 M9.14 41.94 C17.7 31.48, 27.82 20.24, 38.55 8.3 M12.01 48.5 C21.79 35.2, 29.44 21.04, 41.66 14.71 M10.17 47.34 C16.68 39.11, 23.06 31.38, 38.82 14.14 M16.67 46.34 C23.36 40.17, 28.7 31.84, 41.88 17.41 M16.28 46.3 C23.71 38.24, 29.84 31.28, 41.11 18.71 M19.98 49.13 C28.04 40.31, 33.7 32.93, 43.08 22.52 M20.93 47.62 C27.48 40.66, 32.92 33.88, 42.48 22.52 M24.29 48.09 C30.09 41.93, 36.28 33.46, 45.84 26.59 M24.79 49.1 C30.89 40.81, 37.91 33.38, 45.66 26.06 M36.45 40.37 C37.7 40.01, 39.26 36.97, 41.69 35.89 M36.75 41.06 C38.88 39.1, 40.46 37, 41.65 34.99" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M24.08 1.06 C28.49 1.45, 34.25 4.57, 37.29 8.38 C40.32 12.19, 42.17 18.67, 42.28 23.91 C42.38 29.16, 40.83 35.86, 37.92 39.85 C35.01 43.84, 29.5 46.94, 24.82 47.85 C20.14 48.77, 13.64 47.8, 9.85 45.34 C6.06 42.88, 3.5 38.08, 2.1 33.11 C0.7 28.14, -0.08 20.45, 1.43 15.52 C2.93 10.58, 6.76 6.03, 11.11 3.49 C15.46 0.95, 24.67 0.37, 27.54 0.28 C30.41 0.19, 28.55 2.59, 28.34 2.96 M28.61 0.17 C32.92 1.09, 36.77 5.37, 38.79 10.24 C40.81 15.11, 41.25 23.85, 40.73 29.41 C40.21 34.96, 38.97 40.08, 35.69 43.58 C32.42 47.08, 25.91 50.34, 21.07 50.42 C16.23 50.5, 10 47.56, 6.65 44.06 C3.29 40.57, 1.71 34.85, 0.94 29.45 C0.16 24.06, 0.15 16.12, 1.99 11.7 C3.83 7.27, 7.57 4.85, 11.97 2.91 C16.38 0.96, 25.84 0.44, 28.41 0.05 C30.97 -0.33, 27.67 0.11, 27.37 0.61" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(190.1833045921527 42.21989884050538) rotate(0 7.1199951171875 12.5)"><text x="7.1199951171875" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">2</text></g><g transform="translate(390.65502879212 83.02222732429658) rotate(0 25.543975830078125 10)"><text x="0" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">trigger</text></g><g stroke-linecap="round" transform="translate(396.713593034052 25.95807747957582) rotate(0 21 24.5)"><path d="M10.22 3.59 C10.22 3.59, 10.22 3.59, 10.22 3.59 M10.22 3.59 C10.22 3.59, 10.22 3.59, 10.22 3.59 M3.54 18.66 C5.01 15.24, 8.06 11.84, 15.67 3.56 M1.98 19.71 C7.1 13.75, 13.12 6.95, 17.79 2.28 M3.01 23.66 C5.96 20.11, 12.64 14.49, 23.94 0.96 M3.15 24.89 C9.87 15.42, 17.24 7.58, 22.74 1.05 M4.74 30.81 C12.48 21.64, 17.29 12.78, 26.57 2.55 M3.8 29.35 C11.28 21.47, 16.05 13.49, 27.04 2.56 M5.75 33.24 C11.92 24.27, 20.14 14.35, 31.83 3.35 M4.22 35.64 C9.24 29.18, 15.81 23.11, 29.47 4.25 M7.29 39.2 C17.5 25.3, 25.52 16.36, 33.83 7.39 M7.03 38.21 C14 29.95, 21.11 22.44, 33.91 7.69 M9.05 41.72 C20.41 30.26, 28.66 15.86, 36.04 6.97 M8.76 41.15 C18.18 30.66, 26.36 19.69, 37.09 9.04 M12.5 45.34 C18.93 33.2, 28.73 23.06, 40.65 12.54 M11.54 46.15 C21.48 33.64, 30.17 23, 39.46 13.06 M14.32 47.98 C21.8 37.91, 30.03 27.68, 40.01 15.4 M13.85 48.43 C21.88 38.19, 31.78 28.26, 40.78 16.96 M18.52 47.42 C26.26 37.31, 35.2 27.98, 42.08 22.14 M19.03 48.47 C25.08 40.17, 32.91 32.54, 43.09 20.99 M23.96 49.98 C27.78 42.94, 31.61 40.03, 45.89 25.84 M24.08 48.8 C27.09 44.07, 32.19 38.59, 44.41 24.86 M29.7 51.01 C32.61 46.65, 37.54 39.2, 41.03 34.24 M27.39 49.64 C34.35 44.62, 38.62 38.35, 41.58 33.99" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M22.29 0.47 C26.69 0.73, 32.48 3.73, 35.8 7.56 C39.13 11.39, 41.9 18.17, 42.24 23.44 C42.58 28.71, 40.61 35.11, 37.83 39.17 C35.04 43.23, 29.86 46.53, 25.52 47.79 C21.19 49.05, 15.6 49.08, 11.81 46.73 C8.01 44.39, 4.63 38.64, 2.76 33.72 C0.88 28.81, -0.64 22.24, 0.56 17.26 C1.77 12.28, 5.78 6.8, 9.99 3.85 C14.21 0.9, 23.17 -0.01, 25.88 -0.45 C28.59 -0.9, 26.33 0.57, 26.25 1.19 M11.02 2.25 C14.91 0.15, 21.78 0.55, 26.44 1.84 C31.09 3.14, 36.36 6.18, 38.96 10.01 C41.56 13.84, 42.72 19.55, 42.05 24.82 C41.37 30.1, 38.06 37.42, 34.92 41.66 C31.79 45.9, 27.39 49.7, 23.25 50.27 C19.12 50.83, 13.66 48.06, 10.1 45.04 C6.55 42.02, 3.48 37.22, 1.9 32.16 C0.32 27.1, -0.86 19.86, 0.62 14.67 C2.09 9.49, 8.9 3.21, 10.73 1.03 C12.55 -1.15, 11.1 0.75, 11.56 1.59" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(411.05435307054074 38.13396134050538) rotate(0 6.80999755859375 12.5)"><text x="6.80999755859375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">3</text></g><g stroke-linecap="round"><g transform="translate(505.1087566025742 8.331798204884933) rotate(270.5101715834023 27.23700893009385 29.280787068232883)"><path d="M1.17 -0.8 C10.08 2.81, 54.19 12, 54.15 22.03 C54.1 32.06, 9.86 53.13, 0.9 59.37 M0.33 1.39 C9.09 4.65, 53.63 11.09, 53.65 20.44 C53.67 29.79, 9.26 51.34, 0.44 57.49" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(505.1087566025742 8.331798204884933) rotate(270.5101715834023 27.23700893009385 29.280787068232883)"><path d="M18.31 35.89 C14.53 43.84, 7.44 51.3, 2.02 55.84 M20.19 33.97 C12.3 41.55, 6.67 49.9, -0.16 56.72" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(505.1087566025742 8.331798204884933) rotate(270.5101715834023 27.23700893009385 29.280787068232883)"><path d="M28.62 53.63 C21.1 55.33, 10.32 56.43, 2.02 55.84 M30.51 51.71 C18.85 53.08, 9.62 55.24, -0.16 56.72" stroke="#000000" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(619.7792888291367 17.281016954884933) rotate(0 38.3919677734375 30)"><text x="38.3919677734375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Document</text><text x="38.3919677734375" y="20" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">processing</text><text x="38.3919677734375" y="40" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">chunking</text></g><g stroke-linecap="round" transform="translate(569.7194671630859 15.61432747957582) rotate(0 21 24.5)"><path d="M4.01 8.78 C4.01 8.78, 4.01 8.78, 4.01 8.78 M4.01 8.78 C4.01 8.78, 4.01 8.78, 4.01 8.78 M0.51 17.82 C8.32 10.48, 12.42 7.27, 14.16 2.53 M1.57 16.89 C4.13 13.63, 7.82 9.55, 15.99 1.66 M1.85 24.41 C6.44 21.23, 8.43 14.73, 21.24 1.56 M-0.01 26.13 C7.54 18.31, 14.88 9.24, 19.57 2.14 M0 30.91 C6.53 20.8, 15.35 13.42, 22.31 1.87 M2.43 30.36 C6.65 22.61, 12.91 16.81, 23.57 4.22 M1.68 33.48 C9.11 26.16, 15.37 17.96, 30.05 5.32 M3.06 33.3 C10.73 25.91, 16.25 19.12, 28.19 4.75 M6.15 37.25 C14.63 24.52, 24.68 12.68, 33.77 3.93 M5.42 37.71 C13.05 28.8, 23.75 17.9, 33.54 4.9 M8.76 41.76 C15.61 32.36, 24.25 19.63, 36.39 8.65 M6.19 41.08 C13.98 33.71, 19.47 25.66, 35.73 8.19 M9.96 45.69 C17.52 36.84, 23.42 29.47, 39.17 12.16 M11.29 43.8 C21.39 32.89, 31.12 20.6, 37.84 13.71 M14.79 48.27 C21.74 37.64, 31.44 27.62, 41.4 15.15 M13.6 46.86 C22.83 36.28, 33.11 25.14, 40.67 15.72 M15.79 46.7 C24.91 36.64, 35.76 27.76, 42.62 21.25 M16.94 48.61 C27.04 38.46, 34.92 26.94, 43.18 18.91 M18.56 52.39 C29.57 41.86, 38.98 30.55, 40.83 23.73 M19.86 51.39 C26.23 43.19, 31.84 37.95, 41.86 24.44 M27.26 49.32 C29.55 45.51, 35.43 39.97, 41.36 32.85 M26.26 49.16 C33.16 42.94, 38.51 37.28, 43.68 31.66" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M17.12 0.67 C21.17 -0.3, 27.77 1.05, 31.58 3.83 C35.4 6.62, 38.45 12.34, 40 17.37 C41.55 22.39, 42.2 29.25, 40.88 33.99 C39.55 38.72, 35.95 43.35, 32.07 45.8 C28.2 48.25, 22.05 49.53, 17.64 48.66 C13.22 47.79, 8.58 44.53, 5.58 40.58 C2.58 36.63, -0.17 30.33, -0.38 24.97 C-0.59 19.61, 1.09 12.65, 4.31 8.43 C7.53 4.22, 15.97 1.06, 18.95 -0.34 C21.93 -1.73, 22.15 -0.45, 22.19 0.06 M26.97 0.98 C30.84 1.39, 34.15 4.53, 36.71 8.65 C39.27 12.78, 42.18 20.21, 42.34 25.72 C42.49 31.24, 40.77 37.8, 37.64 41.72 C34.51 45.64, 28.27 48.6, 23.56 49.25 C18.85 49.9, 12.98 48.62, 9.39 45.63 C5.79 42.65, 3.19 36.71, 1.99 31.33 C0.79 25.95, 0.38 18.22, 2.2 13.34 C4.03 8.46, 8.83 4.31, 12.93 2.06 C17.04 -0.2, 24.6 -0.05, 26.85 -0.17 C29.09 -0.28, 26.81 0.79, 26.39 1.38" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(584.4702308616841 27.79021134050538) rotate(0 6.399993896484375 12.5)"><text x="6.399993896484375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">4</text></g><g stroke-linecap="round" transform="translate(352.14915466308594 188.53229622957582) rotate(0 21 24.5)"><path d="M3.62 12.42 C3.62 12.42, 3.62 12.42, 3.62 12.42 M3.62 12.42 C3.62 12.42, 3.62 12.42, 3.62 12.42 M2.25 20.68 C7.55 14.01, 11.3 9.22, 16.74 3.13 M2.72 21.25 C7.13 15.66, 12.66 9.81, 15.87 5.2 M-0.3 27.96 C7.04 23.3, 11.61 15.41, 21.63 4.74 M0.18 28.7 C4.45 22.56, 9.1 16.73, 20.7 3.84 M2.07 30.69 C11.02 25.57, 17.36 18.58, 30.36 2.85 M2.78 32.49 C8.35 23.51, 16.81 15.62, 27.76 2.27 M2.52 38.14 C8.95 28.09, 17.21 20.78, 29.58 2.91 M3.42 37.25 C11.22 28.43, 18.14 20.89, 32.42 4.55 M6.62 38.23 C15.33 28.68, 23.54 19.98, 32.46 9.07 M7.24 39.25 C15.7 29.32, 24.17 18.95, 33.57 6.77 M10.49 43.12 C14.25 33.68, 23.61 24.3, 38.41 9.54 M9.16 44.13 C19.45 31.43, 30.7 19.97, 37.63 11.66 M13.49 46.98 C16.42 39.77, 24.13 30.5, 39.02 12.62 M12.93 45.86 C21.34 35.22, 29.98 23.94, 39.86 12.73 M17.12 46.86 C23.11 37.49, 32.65 27.97, 41.64 19.04 M15.3 47.73 C24.9 36.78, 33.27 28.37, 40.29 17.81 M18.37 47.74 C28.19 40.62, 37.34 28.13, 41.98 23 M19.79 48.55 C28.03 39.53, 36.32 28.3, 41.62 22.17 M23.84 51.53 C26.98 46.37, 33.42 40.11, 43.72 29 M24.11 49.88 C28.76 43.11, 35.06 36.77, 43.23 28.6" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M13.11 2.07 C17.09 -0.01, 24.12 -0.2, 28.3 1.46 C32.48 3.12, 35.82 7.66, 38.2 12.03 C40.58 16.39, 43.27 22.47, 42.59 27.65 C41.9 32.83, 37.79 39.63, 34.1 43.12 C30.4 46.61, 24.86 48.67, 20.43 48.6 C15.99 48.53, 10.88 46.04, 7.48 42.69 C4.09 39.35, 0.72 33.57, 0.07 28.53 C-0.57 23.48, 1.01 17.02, 3.6 12.43 C6.2 7.85, 13.52 2.77, 15.63 1.03 C17.75 -0.71, 16.21 1.53, 16.29 2.01 M17.31 -0.46 C21.45 -1.44, 29.48 0.52, 33.19 3.52 C36.9 6.52, 38.15 12.7, 39.57 17.54 C40.99 22.38, 42.94 27.9, 41.71 32.56 C40.49 37.22, 36.23 43.03, 32.21 45.51 C28.2 47.99, 22.06 48.49, 17.63 47.45 C13.19 46.41, 8.79 43.4, 5.61 39.27 C2.44 35.14, -1.19 27.86, -1.4 22.68 C-1.61 17.5, 1.33 12.11, 4.38 8.19 C7.43 4.27, 14.84 0.32, 16.92 -0.85 C19 -2.02, 16.61 0.53, 16.85 1.19" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(367.1199195823872 200.70818009050544) rotate(0 6.17999267578125 12.5)"><text x="6.17999267578125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">5</text></g><g transform="translate(399.06927490234375 198.37213997957582) rotate(0 46.57597351074219 10)"><text x="46.57597351074219" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">embed chunk</text></g><g stroke-linecap="round" transform="translate(543.1608734130859 195.00495247957582) rotate(0 21 24.5)"><path d="M3.42 10.92 C3.42 10.92, 3.42 10.92, 3.42 10.92 M3.42 10.92 C3.42 10.92, 3.42 10.92, 3.42 10.92 M1.65 20.1 C5.24 14.33, 8.11 10.2, 16.21 1.55 M2.11 19.15 C4.97 15.62, 9.95 9.98, 16.1 1.85 M-0.46 27.52 C8.3 16.36, 17.95 8.56, 19.96 1.76 M-1.22 27.94 C7.34 18.93, 14.79 9.73, 20.65 2.99 M1.79 32.98 C5.05 26.02, 10.54 21.16, 24.11 4.65 M0.77 31.4 C9.17 23, 17.25 14.15, 25.59 4.12 M4.27 35.24 C10.69 25.34, 21.64 15.86, 29.1 6.06 M3.73 35.06 C10.93 26.34, 19.02 16.11, 30.83 4.92 M4.63 39.36 C12.54 30.25, 22.94 19.59, 32.87 8.51 M5.39 39.89 C13.02 30.46, 21.71 22.01, 34.15 6.25 M9.09 41.36 C16.64 31.54, 29.61 15.92, 34.81 10.99 M6.69 43.97 C17.13 33.09, 26.2 23.51, 36.51 10.08 M11.24 44.44 C21.8 34.34, 31.79 19.35, 38.63 10.03 M9.88 45.04 C16.3 38.04, 23.54 29.95, 39.27 11.7 M15.52 46.89 C22.62 38.26, 28.51 29.5, 41.81 13.02 M14.39 47.41 C24.94 32.94, 36.52 21.3, 42.93 15.23 M19.89 49.83 C25.98 42.76, 33.4 32.45, 42.36 18.78 M18.82 47.95 C23.9 41.8, 31.22 34.71, 42.29 19.33 M20.03 52.3 C31.85 41.93, 40.16 31.17, 42.16 24.07 M21.47 50.31 C25.95 44.7, 31.58 40.63, 43.11 25.86 M29.29 45.52 C34.23 40.9, 38.03 36.49, 43.87 30.97 M29.69 47.36 C34.47 41.82, 38.02 37.21, 43.37 32.42" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M14.88 0.66 C18.73 -1.08, 24.1 0.55, 28.18 2.49 C32.25 4.43, 37.19 7.7, 39.33 12.29 C41.46 16.89, 41.83 24.79, 41 30.08 C40.17 35.36, 37.83 40.7, 34.36 44.01 C30.88 47.31, 24.77 50.04, 20.14 49.88 C15.52 49.73, 10.1 46.82, 6.61 43.1 C3.12 39.37, -0.24 32.88, -0.79 27.54 C-1.35 22.2, 0.17 15.43, 3.29 11.07 C6.4 6.71, 15.07 2.97, 17.89 1.37 C20.71 -0.23, 20.18 1.29, 20.22 1.47 M20.73 0.63 C25.06 0.4, 32.09 3.08, 35.4 6.58 C38.71 10.08, 40.17 16.43, 40.58 21.63 C40.99 26.83, 39.91 33.56, 37.85 37.78 C35.79 42.01, 32.39 45.16, 28.23 46.99 C24.07 48.82, 17.17 50.42, 12.87 48.76 C8.57 47.09, 4.55 41.96, 2.45 37 C0.35 32.05, -0.75 24.09, 0.29 19.05 C1.33 14, 5.3 10.11, 8.7 6.76 C12.1 3.4, 18.84 0.15, 20.68 -1.08 C22.52 -2.31, 19.53 -1.46, 19.74 -0.64" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(557.9116371116841 207.18083634050544) rotate(0 6.399993896484375 12.5)"><text x="6.399993896484375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">6</text></g><g transform="translate(488.7721710205078 248.81745247957582) rotate(0 59.919952392578125 20)"><text x="59.919952392578125" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Save document</text><text x="59.919952392578125" y="20" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">with embeddings</text></g><g transform="translate(237.7770040337091 405.21851695488493) rotate(0 21.751991271972656 10)"><text x="21.751991271972656" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Query</text></g><g stroke-linecap="round" transform="translate(185.12408086619325 387.9697962295758) rotate(0 21 24.5)"><path d="M1.33 13.08 C1.33 13.08, 1.33 13.08, 1.33 13.08 M1.33 13.08 C1.33 13.08, 1.33 13.08, 1.33 13.08 M0.13 18.68 C6.81 12.76, 11.65 9.88, 15.33 4.56 M0.77 19.51 C3.68 15.46, 7.7 12.13, 12.71 5.07 M0.84 26.82 C6.15 17.82, 13.91 10.36, 19.01 3.16 M0.3 27.59 C4.73 21.46, 9.43 17.62, 20.07 5.32 M1.74 32.93 C9.27 20.21, 20.11 8.86, 25.34 3.1 M0.71 32.72 C10.06 22.64, 19.2 12.25, 26.33 1.75 M4.64 36.09 C11.2 26.93, 16.54 20.07, 29.88 4.18 M3.01 34.41 C10.49 25.87, 19.11 17.36, 29.48 5.25 M6.99 39.39 C17.09 27.74, 24.37 16.22, 31.53 9.06 M6.75 38.66 C17.17 25.83, 26.71 12.75, 33.26 7.09 M8.02 43.5 C14.49 35.77, 21.37 26.27, 36.46 10.68 M9.25 40.9 C18.44 31.01, 27.59 20.2, 35.15 10.83 M11.61 45.41 C16.83 38.32, 22.16 29.18, 40.26 14.51 M10.76 45.03 C17.82 37.6, 22.61 30.06, 39.65 11.77 M13.91 47.57 C22.87 36.07, 30.75 26.68, 41.51 18.19 M15.08 45.99 C20.03 38.81, 27.77 31.9, 40.04 17.06 M19.55 47.15 C24.66 40.46, 30.03 36.87, 41.29 24.21 M18.07 47.25 C25.98 40.25, 32.21 32.58, 40.98 21.63 M20.55 49.91 C26.75 45.41, 31.6 37.36, 40.81 28.11 M21.62 50.16 C28.47 40.65, 36.82 34.04, 42.37 26.79 M26.47 52.57 C30.61 49.25, 33.43 45.22, 39.51 37.78 M26.04 52.55 C29.29 47.64, 33.08 42.73, 38.65 38.74" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M26.96 1.7 C30.95 2.86, 35.43 7.3, 37.84 11.45 C40.24 15.61, 41.87 21.43, 41.4 26.61 C40.94 31.8, 38.04 38.8, 35.05 42.55 C32.06 46.3, 27.79 48.94, 23.45 49.13 C19.12 49.32, 12.95 46.67, 9.06 43.69 C5.16 40.7, 1.37 36.32, 0.08 31.22 C-1.21 26.12, -0.54 17.85, 1.31 13.09 C3.16 8.34, 6.87 4.56, 11.18 2.68 C15.49 0.81, 24.19 1.88, 27.16 1.85 C30.12 1.82, 29.09 2.08, 28.98 2.5 M12.36 2.08 C15.87 -0.62, 21.82 -1.94, 26.21 -0.59 C30.59 0.76, 36.1 5.45, 38.67 10.19 C41.25 14.93, 42.08 22.56, 41.65 27.86 C41.22 33.15, 39.4 38.69, 36.1 41.98 C32.8 45.28, 26.57 47.31, 21.85 47.63 C17.13 47.94, 11.26 46.45, 7.79 43.9 C4.31 41.34, 1.77 37.27, 1 32.3 C0.23 27.33, 1.21 19.13, 3.18 14.07 C5.16 9.01, 11.56 4, 12.85 1.95 C14.15 -0.1, 11.02 1.12, 10.94 1.77" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(200.89484120785778 400.14568009050544) rotate(0 5.379997253417969 12.5)"><text x="5.379997253417969" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">7</text></g><g stroke-linecap="round" transform="translate(383.65696716308594 354.0987024795758) rotate(0 21 24.5)"><path d="M8.31 4.57 C8.31 4.57, 8.31 4.57, 8.31 4.57 M8.31 4.57 C8.31 4.57, 8.31 4.57, 8.31 4.57 M-0.76 21.3 C2.81 14.32, 7.84 9.81, 15.45 0.89 M-0.58 19.98 C6.11 12.65, 11.38 7.73, 15.07 1.34 M-0.14 26.45 C7 18.44, 9.98 12.8, 22.24 2.14 M2.09 24.79 C7.17 16.51, 14.29 9.85, 21.68 1.04 M0.82 28.7 C8.37 21.94, 16.9 12.23, 24.7 1.14 M1.53 29.14 C10.26 20.94, 18.99 10.96, 25.73 2.08 M3.84 36.06 C7.98 27.97, 14.56 19.88, 30.79 5.51 M1.69 36.16 C12.52 24.12, 22.39 13.82, 28.57 4.74 M4.05 39.13 C14.53 27.41, 23.63 15.23, 34.3 5.05 M5.71 37.14 C12.54 30.07, 18.64 23.44, 33.27 6.47 M8.97 40.7 C17.8 30.46, 24.79 21.76, 36.86 8.28 M7.23 42.32 C14.91 32.56, 22.72 23.16, 35.95 8.61 M12.41 43.29 C17.23 33.43, 26.45 25.64, 39.44 14.27 M9.64 44.53 C21.48 32.76, 30.07 22.12, 37.64 13.32 M11.33 47.93 C23.72 36.66, 34.68 24.79, 40.35 16.68 M13.32 49.18 C24.13 35.12, 34.18 23.69, 41.61 15.83 M16.54 50.02 C25.84 36.95, 34.52 30.03, 44.15 19.1 M17.65 48.25 C25.81 38.91, 32.73 30.68, 42.6 20.87 M22.3 49.89 C29.97 39.83, 36.76 32.82, 42.96 23.84 M22.94 48 C31.88 39.93, 39.29 28.95, 43.57 23.69 M29.61 47.33 C32.72 44.4, 37.3 36.84, 44.68 31.52 M27.07 49.68 C32.83 43.08, 37.84 37.89, 44.14 30.77" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M21.48 -0.41 C25.52 -0.45, 31.19 2.61, 34.63 6.26 C38.08 9.9, 41.42 16.1, 42.14 21.45 C42.86 26.8, 41.22 33.83, 38.94 38.34 C36.65 42.84, 32.84 47, 28.43 48.49 C24.03 49.99, 16.8 49.54, 12.5 47.31 C8.21 45.08, 4.81 39.86, 2.66 35.11 C0.5 30.37, -1.38 23.95, -0.43 18.85 C0.53 13.74, 4.65 7.74, 8.39 4.48 C12.13 1.21, 19.43 -0.24, 22.01 -0.74 C24.6 -1.23, 23.67 0.8, 23.9 1.5 M21.87 -0.01 C26.23 0.6, 33.61 4.85, 36.92 8.66 C40.23 12.48, 41.63 17.75, 41.71 22.89 C41.8 28.02, 40.13 35.12, 37.41 39.47 C34.69 43.82, 29.84 47.85, 25.38 48.97 C20.93 50.1, 14.55 48.57, 10.68 46.23 C6.8 43.88, 3.65 39.42, 2.12 34.9 C0.59 30.38, 0.17 24.37, 1.51 19.09 C2.85 13.81, 6.42 6.18, 10.15 3.21 C13.88 0.24, 21.95 1.86, 23.89 1.27 C25.83 0.67, 22.06 -0.81, 21.77 -0.37" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(397.15773086168406 366.27458634050544) rotate(0 7.649993896484375 12.5)"><text x="7.649993896484375" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">8</text></g><g transform="translate(431.2293701171875 368.9697962295758) rotate(0 46.91197204589844 10)"><text x="46.91197204589844" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">embed query</text></g><g stroke-linecap="round"><g transform="translate(463.45384216308594 468.9697962295758) rotate(0 -159.12163081229664 -1.7110966212954395)"><path d="M1.02 1.01 C-51.9 0.38, -265.16 -1.99, -318.74 -2.57 M0.1 0.49 C-52.8 0.01, -266.24 -3.59, -319.27 -4.43" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(463.45384216308594 468.9697962295758) rotate(0 -159.12163081229664 -1.7110966212954395)"><path d="M-289.23 -12.88 C-295.64 -13.58, -301.23 -11.39, -320.95 -5.27 M-290.62 -14.29 C-297.11 -12.85, -301.88 -9.34, -319.06 -4.15" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g><g transform="translate(463.45384216308594 468.9697962295758) rotate(0 -159.12163081229664 -1.7110966212954395)"><path d="M-289.57 7.64 C-296.11 2.83, -301.64 0.91, -320.95 -5.27 M-290.96 6.23 C-297.56 3.53, -302.27 2.89, -319.06 -4.15" stroke="#1e1e1e" stroke-width="1" fill="none"></path></g></g><mask></mask><g transform="translate(364.206603795672 489.78492320488493) rotate(0 25.311981201171875 10)"><text x="25.311981201171875" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Result</text></g><g stroke-linecap="round" transform="translate(315.10976430735536 472.5362024795758) rotate(0 21 24.5)"><path d="M3.5 12.32 C3.5 12.32, 3.5 12.32, 3.5 12.32 M3.5 12.32 C3.5 12.32, 3.5 12.32, 3.5 12.32 M2.26 21.07 C4.68 16.71, 11.28 11.12, 17.68 3.05 M1.29 21.12 C7.18 15.01, 12.15 8.68, 17.31 4.07 M-0.93 27.82 C6.56 21.93, 11.07 17.85, 23.05 4.38 M-0.33 28.66 C5.31 22.14, 9.79 17.56, 21.9 4.6 M3.6 31.76 C9.31 21.49, 16.31 12.48, 24.53 5.4 M2.49 31.46 C8.43 24.91, 15.84 17.1, 26.6 3.9 M3.1 35.27 C16.44 22.66, 26.48 11.44, 29.4 6.31 M5.26 34.74 C11.63 27.24, 18.69 19.29, 30.96 5.51 M8.41 40.83 C13.61 33.09, 19.81 26.56, 35.29 6.15 M6.39 38.4 C14.15 29.49, 23.04 20.24, 34.65 6.46 M8.24 41.97 C14.45 35.91, 19.79 28.06, 37.73 11.39 M7.61 42.34 C14.49 34.98, 20.54 28.42, 38.03 9.29 M13.97 46.95 C23.36 32.27, 33.26 20.39, 39.73 12.23 M11.94 45.45 C18.42 38.14, 25.68 29.19, 39.98 12.59 M15.4 45.23 C25.43 37.5, 32.74 25.72, 40.72 18.73 M15.57 46.46 C22.41 40.06, 28.35 33.64, 40 18.56 M20.8 47.36 C25.87 43.15, 29.95 36.09, 39.97 25.21 M19.12 49.17 C26.27 41.2, 31.22 34.5, 41.74 23.73 M21.93 49.46 C28.67 45.22, 34.47 35.96, 42.33 30.77 M22.71 51.23 C27.99 44.04, 34.32 38.14, 41.89 28.77 M30.78 48.14 C32.74 45.54, 33.95 44.72, 35.98 40.52 M30.42 48.28 C33.15 45.1, 35.47 43.09, 36.96 41.26" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M28.42 2.33 C32.45 3.58, 37.39 7.5, 39.5 11.94 C41.62 16.38, 41.89 23.6, 41.12 28.97 C40.35 34.33, 38.21 40.6, 34.89 44.11 C31.57 47.61, 25.6 50.17, 21.18 49.98 C16.76 49.8, 11.95 46.62, 8.37 42.98 C4.8 39.34, 0.57 33.21, -0.27 28.14 C-1.11 23.06, 0.89 16.93, 3.31 12.53 C5.73 8.14, 9.96 3.62, 14.24 1.76 C18.52 -0.09, 26.41 1.25, 29.01 1.41 C31.62 1.57, 30.16 2.25, 29.88 2.75 M22.31 -0.86 C26.58 -1.26, 30.19 1.62, 33.41 5.13 C36.64 8.64, 40.86 15.13, 41.65 20.21 C42.44 25.3, 40.62 31.29, 38.15 35.62 C35.68 39.95, 30.8 44.42, 26.84 46.18 C22.88 47.95, 18.39 47.64, 14.37 46.23 C10.36 44.81, 5.04 42.16, 2.74 37.69 C0.44 33.22, -0.09 24.77, 0.58 19.41 C1.26 14.05, 3.32 8.9, 6.78 5.53 C10.25 2.16, 19.24 -0.2, 21.38 -0.81 C23.52 -1.42, 19.47 1.13, 19.6 1.88" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(326.67052556454723 484.71208634050544) rotate(0 9.589996337890625 12.5)"><text x="9.589996337890625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">10</text></g><g transform="translate(659.6456449333673 398.02711070488493) rotate(0 45.07997131347656 20)"><text x="45.07997131347656" y="0" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">Search with</text><text x="45.07997131347656" y="20" font-family="Virgil, Segoe UI Emoji" font-size="16px" fill="#2f9e44" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">embeddings</text></g><g stroke-linecap="round" transform="translate(610.1761705573554 393.5440149795758) rotate(0 21 24.5)"><path d="M3.94 10.05 C3.94 10.05, 3.94 10.05, 3.94 10.05 M3.94 10.05 C3.94 10.05, 3.94 10.05, 3.94 10.05 M-0.18 18.11 C4.61 16.67, 10.82 11.62, 16.85 2.97 M0.2 20.02 C7.46 13.98, 12.62 6.92, 16.44 2.03 M0.02 26.08 C6.64 21.95, 9.74 17.56, 23.05 0.98 M-0.45 26.42 C4.33 21.11, 9.9 14.74, 22.12 0.91 M1.18 29.02 C7.75 23.54, 16.84 15.22, 25.64 2.61 M2.11 31.09 C7.93 23.26, 16.45 14.78, 26.63 2.98 M2.45 33.69 C13.02 23.72, 23.97 9.29, 29.35 3 M5.15 34.05 C9.52 26.34, 15.22 20.54, 30.01 4.17 M5.12 37.23 C10.98 32.02, 18.26 21.31, 33.4 6.69 M5.83 39.23 C12.9 29.76, 21.48 20.99, 32.63 6.81 M8.06 42.39 C17.22 29.32, 28.56 15.73, 35.5 9.96 M9.01 40.97 C15.37 34.15, 21.36 25.97, 36.54 10.11 M11.16 45.69 C18.39 35.92, 26.7 25.47, 40.68 11.62 M12.06 44.23 C21.03 33.18, 28.3 23.86, 38.71 12.09 M13.49 46.19 C22.21 37.75, 30.77 29.74, 40.68 16.07 M13.32 46.56 C20.07 39.59, 26.67 32.88, 41.73 14.86 M18.63 46.77 C24.38 42.08, 27.14 35.32, 40.84 22.43 M18.83 49.56 C27.18 38.76, 36.59 27.07, 43.01 20.8 M20.91 51.52 C27.45 43.21, 31.79 37.23, 41.99 28 M20.83 51.37 C26.32 45.08, 30.28 40.09, 42.06 26.27 M28.67 48.21 C32.38 45.86, 37.18 41.2, 41.44 31.61 M28.43 49.34 C32.27 42.87, 37.2 38.39, 43.79 32.1" stroke="#b2f2bb" stroke-width="0.5" fill="none"></path><path d="M16.66 0.83 C20.62 -0.66, 26.39 1.02, 30.23 3.13 C34.08 5.25, 37.84 8.82, 39.74 13.53 C41.65 18.25, 42.87 26.16, 41.68 31.42 C40.49 36.68, 36.54 42.13, 32.63 45.1 C28.71 48.07, 22.49 49.96, 18.18 49.25 C13.87 48.54, 9.92 44.74, 6.76 40.82 C3.61 36.9, -0.25 30.84, -0.74 25.74 C-1.23 20.63, 0.19 14.42, 3.81 10.2 C7.44 5.98, 17.25 1.94, 21.03 0.41 C24.8 -1.13, 26.35 0.57, 26.45 1 M24.52 -1.19 C28.82 -0.64, 31.99 4.73, 35.08 8.69 C38.16 12.65, 42.4 17.53, 43.03 22.57 C43.66 27.61, 41.81 34.86, 38.84 38.94 C35.87 43.03, 29.77 45.81, 25.21 47.06 C20.64 48.31, 15.37 48.72, 11.46 46.45 C7.56 44.18, 3.31 38.38, 1.77 33.44 C0.23 28.51, 0.95 21.46, 2.23 16.84 C3.51 12.22, 5.89 8.4, 9.45 5.73 C13.02 3.06, 21.52 1.91, 23.63 0.82 C25.73 -0.27, 22.44 -1.04, 22.08 -0.83" stroke="#000000" stroke-width="1" fill="none"></path></g><g transform="translate(625.2369318145472 405.71989884050544) rotate(0 6.089996337890625 12.5)"><text x="6.089996337890625" y="0" font-family="Virgil, Segoe UI Emoji" font-size="20px" fill="#000000" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="text-before-edge">9</text></g></svg>
\ No newline at end of file
diff --git a/assets/logos/elastic-beats-logo-vector.svg b/assets/logos/elastic-beats-logo-vector.svg
new file mode 100644
index 0000000..6ff823d
--- /dev/null
+++ b/assets/logos/elastic-beats-logo-vector.svg
@@ -0,0 +1 @@
+<svg id="Layer_1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 80 80" width="2500" height="2500"><style>.st0{fill:#07a5de}.st1{fill:#3ebeb0}.st2{opacity:.26;enable-background:new}.st2,.st3{fill:#353535}.st4{fill:none}</style><path class="st0" d="M38.8 45.1H17.4V10.5h21.4c9.6 0 17.3 7.7 17.3 17.3 0 9.6-7.7 17.3-17.3 17.3z"/><path class="st1" d="M45.3 69.5H17.4V34.9h27.9c9.6 0 17.3 7.7 17.3 17.3 0 9.6-7.7 17.3-17.3 17.3z"/><path class="st2" d="M58.4 40.9c-3.2-3.7-7.9-6-13.1-6H17.4v16h25.9c9.2 0 15.6-9.5 15.1-10z"/><path class="st3" d="M38.8 45.1c6.2 0 11.6-3.3 14.7-8.2-.4-.2-.8-.4-1.3-.6-.1 0-.2-.1-.3-.1-.4-.2-.8-.3-1.3-.5h-.1c-.1 0-.1 0-.2-.1l-1.2-.3h-.2c-.1 0-.2 0-.2-.1-.4-.1-.8-.1-1.2-.2h-.6c-.5 0-.9-.1-1.4-.1H17.4v10.2h21.4z"/><path class="st4" d="M0 0h80v80H0z"/></svg>
diff --git a/assets/logos/scala-full-color.svg b/assets/logos/scala-full-color.svg
new file mode 100644
index 0000000..da21d14
--- /dev/null
+++ b/assets/logos/scala-full-color.svg
@@ -0,0 +1 @@
+<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 590 270"><title>scala-full-color</title><path d="M200.7,142.39c6,11.79,15.6,17.6,29.05,17.6,14.44,0,19.59-7.64,19.59-15.11,0-5.15-1.83-8.63-6.64-11.79-4.82-3.32-8.3-4.81-16.93-8-10.63-4-16.77-7-23.41-12.29-6.64-5.48-9.79-13-9.79-22.74a28.28,28.28,0,0,1,10.29-22.58c7-5.81,15.44-8.63,25.56-8.63,15.77,0,27.72,6.31,35.69,18.76L249.34,87.78c-4.48-6.81-11.29-10.3-20.59-10.3-9.13,0-15.77,5.15-15.77,12.29,0,4.81,2,7.14,4.82,10,1.82,1.33,6.47,3.32,8.63,4.48l6,2.32,6.8,2.66c11,4.48,18.76,9.3,23.57,14.44s7.31,12.12,7.31,20.75c0,20.42-14.11,34.2-40.51,34.2-21.41,0-37.18-10-44.48-26.4Z" style="fill:#380d09"/><path d="M354.25,104.71,342,117.49a28.14,28.14,0,0,0-21.24-9.13,25,25,0,0,0-18.43,7.47,27.76,27.76,0,0,0,0,37.52,25,25,0,0,0,18.43,7.47A28.14,28.14,0,0,0,342,151.69l12.29,12.78c-9,9.63-20.09,14.44-33.53,14.44-12.79,0-23.58-4.15-32.37-12.62s-13.12-19.09-13.12-31.7,4.32-23.08,13.12-31.54,19.58-12.78,32.37-12.78C334.16,90.27,345.28,95.08,354.25,104.71Z" style="fill:#380d09"/><path d="M393.88,125.62C408,124.3,413,122.47,413,116c0-5.15-4.64-9.13-13.94-9.13q-13.44,0-22.41,10.95l-12.28-10.46c8.13-11.45,19.58-17.09,34.36-17.09,20.75,0,33.7,10,33.7,27.05v37c0,5.81,2.15,6.48,7,6.48h.5v15.43c-2,1.17-5.15,1.83-9.3,1.83-4.48,0-8-1.33-10.62-4a14.06,14.06,0,0,1-3-5.48c-5.81,6.8-15.27,10.29-28.39,10.29-18.42,0-30.87-10.13-30.87-25.4C357.7,136.41,369.15,127.78,393.88,125.62ZM391.56,162c13.28,0,21.41-6,21.41-16.6v-9.3a9.75,9.75,0,0,1-4.14,2.49c-3.82,1.33-6.31,1.66-14.28,2.49-11.62,1.33-17.43,5-17.43,10.79C377.12,158.33,382.43,162,391.56,162Z" style="fill:#380d09"/><path d="M444.84,60.88h19.92V149.2c0,8.13,2.66,11.62,10,11.62a21.15,21.15,0,0,0,6-.67v17.76a35.56,35.56,0,0,1-9.47,1c-17.59,0-26.39-9-26.39-27.06Z" style="fill:#380d09"/><path d="M521.71,125.62c14.11-1.32,19.09-3.15,19.09-9.62,0-5.15-4.64-9.13-13.94-9.13q-13.44,0-22.41,10.95l-12.28-10.46c8.13-11.45,19.58-17.09,34.36-17.09,20.75,0,33.7,10,33.7,27.05v37c0,5.81,2.15,6.48,7,6.48h.5v15.43c-2,1.17-5.15,1.83-9.3,1.83-4.48,0-8-1.33-10.62-4a13.94,13.94,0,0,1-3-5.48c-5.81,6.8-15.27,10.29-28.39,10.29-18.42,0-30.87-10.13-30.87-25.4C485.53,136.41,497,127.78,521.71,125.62ZM519.39,162c13.28,0,21.41-6,21.41-16.6v-9.3a9.73,9.73,0,0,1-4.15,2.49c-3.81,1.33-6.3,1.66-14.27,2.49-11.62,1.33-17.43,5-17.43,10.79C505,158.33,510.26,162,519.39,162Z" style="fill:#380d09"/><path d="M30.55,94.83C32.4,97.38,48,102.19,71.27,107.2c23.27,4.46,47.47,22.07,66.29,16.64,12.73-3.68,26.54-36.47,26.54-41.34V82c0-3.4-2.55-6.13-6.88-8.4-17.75-9.07-21.11-12.41-27.69-10.6C95.37,72.43,35.06,67.61,30.55,94.83Z" style="fill:#380d09;fill-rule:evenodd"/><path d="M30.55,161.41C32.4,164,48,168.77,71.27,173.79c26,4.74,48.61,20.19,67.44,14.75,12.73-3.68,25.39-34.58,25.39-39.46v-.48c0-3.39-2.55-6.13-6.88-8.39-13.54-7.2-31.43-15.13-38-13.32C85,136.3,39.26,138.37,30.55,161.41Z" style="fill:#380d09;fill-rule:evenodd"/><path d="M30.36,109.14v.48h0A3.73,3.73,0,0,1,30.36,109.14Z" style="fill:#555;fill-rule:evenodd"/><path d="M138.66,28.78C107.2,37.87,57.29,43,30.4,43h0V94.35a.8.8,0,0,0,.19.48c18.35,0,75-6,109.18-15.4a129,129,0,0,0,17.49-5.81c4.18-1.88,6.88-3.86,6.88-5.92V15.91C164.1,20.79,151.39,25.11,138.66,28.78Z" style="fill:#de3423;fill-rule:evenodd"/><path d="M138.66,95.37c-18.83,5.43-44.24,9.47-67.39,11.83-15.54,1.59-30.06,2.42-40.87,2.42h0v51.31a.8.8,0,0,0,.19.48c18.35,0,75-6,109.18-15.39a130.38,130.38,0,0,0,17.49-5.81c4.18-1.89,6.88-3.86,6.88-5.92V82.5C164.1,87.37,151.39,91.69,138.66,95.37Z" style="fill:#de3423;fill-rule:evenodd"/><path d="M138.66,162c-18.83,5.43-44.24,9.46-67.39,11.83-15.56,1.59-30.1,2.42-40.91,2.42V228c18.16,0,75.1-5.95,109.37-15.39,12.63-3.48,24.37-7.44,24.37-11.74V149.08C164.1,154,151.39,158.28,138.66,162Z" style="fill:#de3423;fill-rule:evenodd"/></svg>
\ No newline at end of file