json={
            "username": "johndoe",
            "password": "secret",
            "email": "johndoe@example.com",
            "full_name": "John Doe",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "johndoe",
        "email": "johndoe@example.com",
        "full_name": "John Doe",
    }


def test_openapi_schema(client: TestClient):

def test_post_user_form():
    response = client.post(
        "/form-union/", data={"name": "John Doe", "email": "john@example.com"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "received": {"name": "John Doe", "email": "john@example.com"}
    }


def test_post_company_form():
    response = client.post(

        "full_name": "John Doe",
        "email": "johndoe@example.com",
        "hashed_password": "$argon2id$v=19$m=65536,t=3,p=4$wagCPXjifgvUFBzq4hqe3w$CYaIb8sB+wtD+Vu/P4uod1+Qof8h+1g7bbDlBID48Rc",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Chains",
        "email": "alicechains@example.com",

policy grants access to buckets with name starting with example. ## In addition, grants objects read permissions on buckets starting with example. # - name: readonlyexamplepolic # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:GetObject" # - resources: # - 'arn:aws:s3:::example*' # actions: # - "s3:GetBucketLocation" # - "s3:ListBucket" # - "s3:ListBucketMultipartU" ## conditionsexample policy creates all access to example bucket with aws:username="johndoe" and source ip range...

# o isCheckProcedureDiff: (NotRequired - Default false)
# o loadDataReverseMap: (NotRequired - Default map:{})
# o schemaSyncCheckMap: (NotRequired - Default map:{})
# o propertiesHtmlMap: (NotRequired - Default map:{})
#
# Example:
# map:{
#     ; documentOutputDirectory = ./output/doc
#     ; aliasDelimiterInDbComment = :
#     ; isDbCommentOnAliasBasis = true
#     ; isEntityJavaDocDbCommentValid = true
#     ; isEntityDBMetaDbCommentValid = true

The result will be a JSON document. To invoke the API you need to extract the value of the access_token property. You can then invoke the API by including the value in the Authorization header of requests to the API.

The following example shows how to get the details of the user with `{userid}` from `{realm}` realm:

```
curl \
  -H "Authorization: Bearer eyJhbGciOiJSUz..." \
  "http://localhost:8080/auth/admin/realms/{realm}/users/{userid}"
```

 * This class provides a simple way to construct RequestData objects with method chaining.
 *
 * <p>Usage example:</p>
 * <pre>
 * RequestData request = RequestDataBuilder.newRequestData()
 *     .method("GET")
 *     .url("https://example.com")
 *     .weight(1.0f)
 *     .build();
 * </pre>
 *
 * <p>The builder is implemented using an inner class {@link RequestDataContext} that handles

     * certificate is issued to `example.com` and the request is to `localhost`, the connection will
     * fail. Use a custom [HostnameVerifier] to ignore such problems.
     *
     * Other TLS features are still used but provide no security benefits in absence of the above
     * gaps. For example, an insecure TLS connection is capable of negotiating HTTP/2 with ALPN and

    "tax": 3.2,
    "tags": [
        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info | Información

```

就能以如下方式调用：

```Python
user_dict = user_in.dict()
```

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': 'john.doe@example.com',
    'full_name': None,
}
```