# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

            min_length=min_length,
            max_length=max_length,
            discriminator=discriminator,
            multiple_of=multiple_of,
            allow_nan=allow_inf_nan,
            max_digits=max_digits,
            decimal_places=decimal_places,
            **extra,
        )
        if examples is not None:
            kwargs["examples"] = examples
        if regex is not None:
            warnings.warn(

        Doc(
            """
            Allow `inf`, `-inf`, `nan`. Only applicable to numbers.
            """
        ),
    ] = _Unset,
    max_digits: Annotated[
        Union[int, None],
        Doc(
            """
            Maximum number of allow digits for strings.
            """
        ),
    ] = _Unset,
    decimal_places: Annotated[
        Union[int, None],
        Doc(
            """

    assert "email" in data[0]
    assert "id" in data[0]


# TODO: pv2 add Pydantic v2 version
@needs_pydanticv1
def test_create_item(client):
    item = {"title": "Foo", "description": "Something that fights"}
    response = client.post("/users/1/items/", json=item)
    assert response.status_code == 200, response.text
    item_data = response.json()
    assert item["title"] == item_data["title"]

    assert "email" in data[0]
    assert "id" in data[0]


@needs_py310
# TODO: pv2 add Pydantic v2 version
@needs_pydanticv1
def test_create_item(client):
    item = {"title": "Foo", "description": "Something that fights"}
    response = client.post("/users/1/items/", json=item)
    assert response.status_code == 200, response.text
    item_data = response.json()
    assert item["title"] == item_data["title"]

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

    assert "id" in data[0]


@needs_py39
# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_item(client):
    item = {"title": "Foo", "description": "Something that fights"}
    response = client.post("/users/1/items/", json=item)
    assert response.status_code == 200, response.text
    item_data = response.json()
    assert item["title"] == item_data["title"]

    assert "email" in data[0]
    assert "id" in data[0]


@needs_py310
# TODO: pv2 add Pydantic v2 version
@needs_pydanticv1
def test_create_item(client):
    item = {"title": "Foo", "description": "Something that fights"}
    response = client.post("/users/1/items/", json=item)
    assert response.status_code == 200, response.text
    item_data = response.json()
    assert item["title"] == item_data["title"]

    assert "email" in data[0]
    assert "id" in data[0]


@needs_py39
# TODO: pv2 add Pydantic v2 version
@needs_pydanticv1
def test_create_item(client):
    item = {"title": "Foo", "description": "Something that fights"}
    response = client.post("/users/1/items/", json=item)
    assert response.status_code == 200, response.text
    item_data = response.json()
    assert item["title"] == item_data["title"]

    elif field_info is None and depends is None:
        default_value = value if value is not inspect.Signature.empty else Required
        if is_path_param:
            # We might check here that `default_value is Required`, but the fact is that the same
            # parameter might sometimes be a path parameter and sometimes not. See
            # `tests/test_infer_param_optionality.py` for an example.