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  1. common-protos/k8s.io/api/networking/v1alpha1/generated.proto

      // At least one of ipv4 and ipv6 must be specified.
      // This field is immutable.
      // +optional
      optional string ipv6 = 4;
    }
    
    // IPAddress represents a single IP of a single IP Family. The object is designed to be used by APIs
    // that operate on IP addresses. The object is used by the Service core API for allocation of IP addresses.
    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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  2. pyproject.toml

    disallow_untyped_defs = false
    disallow_untyped_calls = false
    
    [tool.pytest.ini_options]
    addopts = [
      "--strict-config",
      "--strict-markers",
      "--ignore=docs_src",
    ]
    xfail_strict = true
    junit_family = "xunit2"
    filterwarnings = [
        "error",
        # TODO: needed by asyncio in Python 3.9.7 https://bugs.python.org/issue45097, try to remove on 3.9.8
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    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu May 02 22:37:31 GMT 2024
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  3. .teamcity/README.md

    ## How the configuration works
    
    We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
    based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create
    and test another isolated pipeline from any branch. 
    
    We'll explain everything via an example. Let's say you make some changes on your branch `myTestBranch`
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    - Registered: Wed May 08 11:36:15 GMT 2024
    - Last Modified: Wed Mar 06 23:02:25 GMT 2024
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  4. docs/en/docs/advanced/openapi-callbacks.md

    ## Write the callback documentation code
    
    This code won't be executed in your app, we only need it to *document* how that *external API* should look like.
    
    But, you already know how to easily create automatic documentation for an API with **FastAPI**.
    
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  5. docs/en/docs/features.md

    * Validate **complex structures**:
        * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
        * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
        * You can have deeply **nested JSON** objects and have them all validated and annotated.
    * **Extensible**:
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    - Last Modified: Thu May 02 22:37:31 GMT 2024
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