.addEqualityGroup(
            MediaType.create("text", "plain"),
            MediaType.create("TEXT", "PLAIN"),
            MediaType.parse("text/plain"),
            MediaType.parse("TEXT/PLAIN"),
            MediaType.parse("text /plain"),
            MediaType.parse("TEXT/ plain"),
            MediaType.parse("text / plain"),
            MediaType.create("text", "plain").withParameter("a", "1").withoutParameters())

        .addEqualityGroup(
            MediaType.create("text", "plain"),
            MediaType.create("TEXT", "PLAIN"),
            MediaType.parse("text/plain"),
            MediaType.parse("TEXT/PLAIN"),
            MediaType.parse("text /plain"),
            MediaType.parse("TEXT/ plain"),
            MediaType.parse("text / plain"),
            MediaType.create("text", "plain").withParameter("a", "1").withoutParameters())

            .header("Content-Type", "text/plain-ish")
            .build(),
        )
      }
    server.enqueue(MockResponse())
    client.newCall(
      request()
        .post("Hi?".toRequestBody(PLAIN))
        .build(),
    ).execute()
    applicationLogs
      .assertLogEqual("--> POST $url")
      .assertLogEqual("Content-Type: text/plain; charset=utf-8")
      .assertLogEqual("Content-Length: 3")

       *
       * Example:
       * ```
       * --> POST /greeting http/1.1
       * Host: example.com
       * Content-Type: plain/text
       * Content-Length: 3
       * --> END POST
       *
       * <-- 200 OK (22ms)
       * Content-Type: plain/text
       * Content-Length: 6
       * <-- END HTTP
       * ```
       */
      HEADERS,

      /**

    try:
        from pydantic_core.core_schema import (
            with_info_plain_validator_function as with_info_plain_validator_function,
        )
    except ImportError:  # pragma: no cover
        from pydantic_core.core_schema import (
            general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401
        )

    Required = PydanticUndefined

            data={"token": "foo"},
            files={"file": filea, "fileb": ("testb.txt", fileb, "text/plain")},
        )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "file_size": 14,
        "token": "foo",
        "fileb_content_type": "text/plain",
    }


@needs_py39
def test_openapi_schema(client: TestClient):

            data={"token": "foo"},
            files={"file": filea, "fileb": ("testb.txt", fileb, "text/plain")},
        )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "file_size": 14,
        "token": "foo",
        "fileb_content_type": "text/plain",
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

            data={"token": "foo"},
            files={"file": filea, "fileb": ("testb.txt", fileb, "text/plain")},
        )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "file_size": 14,
        "token": "foo",
        "fileb_content_type": "text/plain",
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

		},
		config.HelpKV{
			Key:         target.KafkaSASLUsername,
			Description: "username for SASL/PLAIN or SASL/SCRAM authentication",
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         target.KafkaSASLPassword,
			Description: "password for SASL/PLAIN or SASL/SCRAM authentication",
			Optional:    true,
			Type:        "string",
			Sensitive:   true,

from fastapi._compat import (
    PYDANTIC_V2,
    CoreSchema,
    GetJsonSchemaHandler,
    JsonSchemaValue,
    _model_rebuild,
    with_info_plain_validator_function,
)
from fastapi.logger import logger
from pydantic import AnyUrl, BaseModel, Field
from typing_extensions import Annotated, Literal, TypedDict
from typing_extensions import deprecated as typing_deprecated