)

bazel_dep(name = "nlohmann_json", version = "3.12.0.bcr.1", repo_name = "nlohmann_json_lib")
bazel_dep(name = "abseil-py", version = "2.1.0", repo_name = "absl_py")
bazel_dep(name = "rules_python", version = "1.6.1")
bazel_dep(name = "rules_shell", version = "0.6.1")
bazel_dep(name = "bazel_skylib", version = "1.8.1")
bazel_dep(name = "platforms", version = "1.0.0")
bazel_dep(name = "rules_license", version = "1.0.0")

# buildifier: disable=load-on-top

workspace(name = "org_tensorflow")

# buildifier: disable=load-on-top

load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")

tf_http_archive(
    name = "rules_shell",
    sha256 = "bc61ef94facc78e20a645726f64756e5e285a045037c7a61f65af2941f4c25e1",
    strip_prefix = "rules_shell-0.4.1",
    urls = tf_mirror_urls(

      - id: trailing-whitespace

  - repo: local
    hooks:
      - id: local-ruff-check
        name: ruff check
        entry: uv run ruff check --force-exclude --fix --exit-non-zero-on-fix
        require_serial: true
        language: unsupported
        types: [python]

      - id: local-ruff-format
        name: ruff format
        entry: uv run ruff format --force-exclude --exit-non-zero-on-format

 *
 * <p>If not all classes on the classpath should be covered, {@link #ignoreClasses} can be used to
 * exclude certain classes. As a special case, classes with an underscore in the name (like {@code
 * AutoValue_Foo}) can be excluded using <code>ignoreClasses({@link #UNDERSCORE_IN_NAME})</code>.
 *
 * <p>{@link #setDefault} allows subclasses to specify default values for types.
 *

 *
 * <p>If not all classes on the classpath should be covered, {@link #ignoreClasses} can be used to
 * exclude certain classes. As a special case, classes with an underscore in the name (like {@code
 * AutoValue_Foo}) can be excluded using <code>ignoreClasses({@link #UNDERSCORE_IN_NAME})</code>.
 *
 * <p>{@link #setDefault} allows subclasses to specify default values for types.
 *

      factory.setAccessible(true);
    }
    // Sorts methods/constructors with the least number of parameters first since it's likely easier
    // to fill dummy parameter values for them. Ties are broken by name then by the string form of
    // the parameter list.
    return BY_NUMBER_OF_PARAMETERS
        .compound(BY_METHOD_NAME)
        .compound(BY_PARAMETERS)
        .immutableSortedCopy(factories);
  }

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


@app.get("/items/")
async def read_items() -> list[Item]:
    return [
        Item(name="Portal Gun", price=42.0),
        Item(name="Plumbus", price=32.0),
    ]
```

FastAPI will use the return type annotation to perform: