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  1. .github/ISSUE_TEMPLATE/feature_request.md

    [ ] Extensions and Telemetry
    [ ] Security
    [ ] Test and Release
    [ ] User Experience
    [ ] Developer Infrastructure
    
    **Affected features (please put an X in all that apply)**
    
    [ ] Multi Cluster
    [ ] Virtual Machine
    [ ] Multi Control Plane
    
    Plain Text
    - Registered: Wed May 08 22:53:08 GMT 2024
    - Last Modified: Mon Feb 12 19:42:48 GMT 2024
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  2. docs/en/docs/advanced/events.md

    ## Use Case
    
    Let's start with an example **use case** and then see how to solve it with this.
    
    Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖
    
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  3. src/cmd/cgo/internal/test/callstub_linux_ppc64le.go

    // extern int notoc_func(void);
    // int TestPPC64Stubs(void) {
    //	return notoc_func();
    // }
    import "C"
    import "testing"
    
    func testPPC64CallStubs(t *testing.T) {
    	// Verify the trampolines run on the testing machine. If they
    	// do not, or are missing, a crash is expected.
    	if C.TestPPC64Stubs() != 0 {
    		t.Skipf("This test requires binutils 2.35 or newer.")
    	}
    Go
    - Registered: Tue Apr 23 11:13:09 GMT 2024
    - Last Modified: Fri Sep 22 15:06:17 GMT 2023
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  4. docs/pt/docs/advanced/events.md

    ## Caso de uso
    
    Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.
    
    Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖
    
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  5. .github/pull_request_template.md

    - [ ] Security
    - [ ] Test and Release
    - [ ] User Experience
    - [ ] Developer Infrastructure
    
    **Please check any characteristics that apply to this pull request.**
    
    Plain Text
    - Registered: Wed May 08 22:53:08 GMT 2024
    - Last Modified: Fri Aug 25 14:29:43 GMT 2023
    - 718 bytes
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  6. docs/pt/docs/async.md

    * **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.
    
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  7. common-protos/k8s.io/api/events/v1beta1/generated.proto

      // This field cannot be empty for new Events and it can have at most 128 characters.
      // +optional
      optional string reportingInstance = 5;
    
      // action is what action was taken/failed regarding to the regarding object. It is machine-readable.
      // This field can have at most 128 characters.
      // +optional
      optional string action = 6;
    
      // reason is why the action was taken. It is human-readable.
      // This field can have at most 128 characters.
    Plain Text
    - Registered: Wed May 08 22:53:08 GMT 2024
    - Last Modified: Mon Mar 11 18:43:24 GMT 2024
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  8. apache-maven/src/assembly/maven/conf/settings.xml

     |
     |                 -s /path/to/user/settings.xml
     |
     |  2. Global Level. This settings.xml file provides configuration for all Maven
     |                 users on a machine (assuming they're all using the same Maven
     |                 installation). It's normally provided in
     |                 ${maven.conf}/settings.xml.
     |
    XML
    - Registered: Sun May 05 03:35:11 GMT 2024
    - Last Modified: Mon Jun 19 15:06:01 GMT 2023
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  9. docs/en/docs/deployment/index.md

    ## What Does Deployment Mean
    
    To **deploy** an application means to perform the necessary steps to make it **available to the users**.
    
    For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.
    
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Jan 11 16:31:18 GMT 2024
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  10. docs/fr/docs/async.md

    * L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Sun Mar 31 23:52:53 GMT 2024
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