from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class MyModel(BaseModel):
    """
    A model with a form feed character in the title.
    \f
    Text after form feed character.
    """


@app.get("/foo")
def foo(v: MyModel):  # pragma: no cover
    pass


client = TestClient(app)


def test_openapi():

                                                           TF_DeleteStatus);

  TF_Operation* feed = Placeholder(func_graph.get(), s.get());
  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,

  EXPECT_EQ(1, TF_OperationOutputListLength(feed, "output", s));
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  EXPECT_EQ(0, TF_OperationNumInputs(feed));
  EXPECT_EQ(0, TF_OperationOutputNumConsumers(TF_Output{feed, 0}));
  EXPECT_EQ(0, TF_OperationNumControlInputs(feed));
  EXPECT_EQ(0, TF_OperationNumControlOutputs(feed));

  tensorflow::AttrValue attr_value;

   */
  // Define
  TF_Operation* feed = Placeholder(func_graph_, s_);
  Define(-1, {}, {feed}, {feed}, {});

  // Use, run, and verify
  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({func_feed});
  Run({{func_feed, Int32Tensor(3)}}, func_op, 3);
  VerifyFDef(empty_, {{"feed_0", DT_INT32}}, {{"feed", DT_INT32}},
             {{"feed_0", "feed"}}, {});
}

		 -->
		<property name="convertUrlMap">
			{"feed:" : "http:"}
		</property>
		<!-- segment -->
		<postConstruct name="addFieldRule">
			<arg>"title"</arg>
			<arg>"//TITLE"</arg>
			<arg>true</arg>
		</postConstruct>
		<postConstruct name="addFieldRule">

    this.readable = checkNotNull(readable);
    this.reader = (readable instanceof Reader) ? (Reader) readable : null;
  }

  /**
   * Reads a line of text. A line is considered to be terminated by any one of a line feed ({@code
   * '\n'}), a carriage return ({@code '\r'}), or a carriage return followed immediately by a
   * linefeed ({@code "\r\n"}).
   *
   * @return a {@code String} containing the contents of the line, not including any

TF_Tensor* Int32Tensor(int32_t v);

TF_Tensor* DoubleTensor(double v);

TF_Tensor* FloatTensor(float v);

TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s,
                          const char* name = "feed",
                          TF_DataType dtype = TF_INT32,
                          const std::vector<int64_t>& dims = {});

TF_Operation* Const(TF_Tensor* t, TF_Graph* graph, TF_Status* s,

     * Default constructor.
     */
    public NotificationHelper() {
        // Default constructor
    }

    private static final Logger logger = LogManager.getLogger(NotificationHelper.class);

    /** Line feed character for message formatting. */
    protected static final char LF = '\n';

    /**
     * Sends notifications to configured platforms.
     *
     * @param cardView the card view for the notification

# Path Operation Advanced Configuration { #path-operation-advanced-configuration }

## OpenAPI operationId { #openapi-operationid }

/// warning

If you are not an "expert" in OpenAPI, you probably don't need this.

///

You can set the OpenAPI `operationId` to be used in your *path operation* with the parameter `operation_id`.

You would have to make sure that it is unique for each operation.

{* ../../docs_src/path_operation_advanced_configuration/tutorial003_py310.py hl[6] *}

## docstring에서 고급 설명 가져오기 { #advanced-description-from-docstring }

OpenAPI에 사용할 *경로 처리 함수*의 docstring 줄 수를 제한할 수 있습니다.

`\f`(이스케이프된 "form feed" 문자)를 추가하면 **FastAPI**는 이 지점에서 OpenAPI에 사용할 출력 내용을 잘라냅니다.

문서에는 표시되지 않지만, Sphinx 같은 다른 도구는 나머지 부분을 사용할 수 있습니다.

{* ../../docs_src/path_operation_advanced_configuration/tutorial004_py310.py hl[17:27] *}