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Results 61 - 70 of 196 for grafos (0.09 sec)

  1. docs/sts/client_grants/__init__.py

    class ClientGrantsCredentialProvider(CredentialProvider):
        """
        ClientGrantsCredentialProvider implements CredentialProvider compatible
        implementation to be used with boto_session
        """
        METHOD = 'assume-role-client-grants'
        CANONICAL_NAME = 'AssumeRoleClientGrants'
    
        def __init__(self, cid, csec,
                     idp_ep='http://localhost:8080/auth/realms/minio/protocol/openid-connect/token',
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Fri Apr 23 18:58:53 UTC 2021
    - 4.6K bytes
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  2. tensorflow/c/c_api.h

    // --------------------------------------------------------------------------
    // The new graph construction API, still under development.
    
    // Represents a computation graph.  Graphs may be shared between sessions.
    // Graphs are thread-safe when used as directed below.
    typedef struct TF_Graph TF_Graph;
    
    // Return a new graph object.
    TF_CAPI_EXPORT extern TF_Graph* TF_NewGraph(void);
    
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Thu Oct 26 21:08:15 UTC 2023
    - 82.3K bytes
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  3. LICENSES/third_party/forked/shell2junit/LICENSE

    behalf of whom a Contribution has been received by Licensor and subsequently 
    incorporated within the Work. 
    
    2. Grant of Copyright License. Subject to the terms and conditions of this 
    License, each Contributor hereby grants to You a perpetual, worldwide, 
    non-exclusive, no-charge, royalty-free, irrevocable copyright license to 
    reproduce, prepare Derivative Works of, publicly display, publicly perform, 
    Registered: Fri Nov 01 09:05:11 UTC 2024
    - Last Modified: Thu Jul 08 11:48:19 UTC 2021
    - 9.2K bytes
    - Viewed (0)
  4. LICENSES/third_party/forked/gotestsum/LICENSE

          subsequently incorporated within the Work.
    
       2. Grant of Copyright License. Subject to the terms and conditions of
          this License, each Contributor hereby grants to You a perpetual,
          worldwide, non-exclusive, no-charge, royalty-free, irrevocable
          copyright license to reproduce, prepare Derivative Works of,
          publicly display, publicly perform, sublicense, and distribute the
    Registered: Fri Nov 01 09:05:11 UTC 2024
    - Last Modified: Fri Apr 01 18:49:15 UTC 2022
    - 11.1K bytes
    - Viewed (0)
  5. LICENSE

          subsequently incorporated within the Work.
    
       2. Grant of Copyright License. Subject to the terms and conditions of
          this License, each Contributor hereby grants to You a perpetual,
          worldwide, non-exclusive, no-charge, royalty-free, irrevocable
          copyright license to reproduce, prepare Derivative Works of,
          publicly display, publicly perform, sublicense, and distribute the
    Registered: Sun Nov 03 03:35:11 UTC 2024
    - Last Modified: Wed Sep 11 20:39:30 UTC 2013
    - 11.1K bytes
    - Viewed (0)
  6. docs/pt/docs/advanced/dataclasses.md

    ```Python hl_lines="1  7-12  19-20"
    {!../../docs_src/dataclasses/tutorial001.py!}
    ```
    
    Isso ainda é suportado graças ao **Pydantic**, pois ele tem <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">suporte interno para `dataclasses`</a>.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Oct 22 17:33:53 UTC 2024
    - 4.4K bytes
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  7. android/guava/src/com/google/common/graph/PredecessorsFunction.java

     *
     * <h3>Additional documentation</h3>
     *
     * <p>See the Guava User Guide for the {@code common.graph} package (<a
     * href="https://github.com/google/guava/wiki/GraphsExplained">"Graphs Explained"</a>) for
     * additional documentation, including <a
     * href="https://github.com/google/guava/wiki/GraphsExplained#notes-for-implementors">notes for
     * implementors</a>
     *
     * @author Joshua O'Madadhain
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Mon Apr 26 17:43:39 UTC 2021
    - 4.1K bytes
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  8. tensorflow/c/c_api_function_test.cc

      GraphDef gdef;
      GetGraphDef(host_graph_, &gdef);
      std::vector<std::pair<string, string>> grads = GetGradDefs(gdef);
      ASSERT_EQ(2, grads.size());
      ASSERT_EQ("FooFunc1", grads[0].first);
      ASSERT_EQ("MyGrad", grads[0].second);
      ASSERT_EQ("FooFunc2", grads[1].first);
      ASSERT_EQ("MyGrad", grads[1].second);
    
      TF_DeleteFunction(func1);
      TF_DeleteFunction(func2);
      TF_DeleteFunction(grad_func);
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Thu Jul 20 22:08:54 UTC 2023
    - 63.6K bytes
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  9. docs/en/docs/tutorial/dependencies/sub-dependencies.md

    Just functions that look the same as the *path operation functions*.
    
    But still, it is very powerful, and allows you to declare arbitrarily deeply nested dependency "graphs" (trees).
    
    /// tip
    
    All this might not seem as useful with these simple examples.
    
    But you will see how useful it is in the chapters about **security**.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 5.5K bytes
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  10. LICENSE

          subsequently incorporated within the Work.
    
       2. Grant of Copyright License. Subject to the terms and conditions of
          this License, each Contributor hereby grants to You a perpetual,
          worldwide, non-exclusive, no-charge, royalty-free, irrevocable
          copyright license to reproduce, prepare Derivative Works of,
          publicly display, publicly perform, sublicense, and distribute the
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Feb 22 18:59:39 UTC 2023
    - 11.1K bytes
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