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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.
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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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.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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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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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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