![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)


### 現代 Python

這一切都基於標準的 **Python 型別**宣告（感謝 Pydantic）。無需學習新的語法，只需使用標準的現代 Python。

如果你需要 2 分鐘來學習如何使用 Python 型別（即使你不使用 FastAPI），可以看看這個簡短的教學：[Python 型別](python-types.md){.internal-link target=_blank}。

如果你寫帶有 Python 型別的程式碼：

```python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):

pkg debug/pe, const IMAGE_FILE_MACHINE_ARMNT ideal-int
pkg expvar, method (*Map) Delete(string)
pkg go/doc, const PreserveAST = 4
pkg go/doc, const PreserveAST Mode
pkg go/importer, func ForCompiler(*token.FileSet, string, Lookup) types.Importer
pkg go/token, method (*File) LineStart(int) Pos
pkg io, type StringWriter interface { WriteString }
pkg io, type StringWriter interface, WriteString(string) (int, error)
pkg log, method (*Logger) Writer() io.Writer

        assertArrayEquals(expectedStats, parsedStats);
    }

    @Test
    void readRDataWireFormat_shouldHandleOwnerNodeTypes() throws Exception {
        // Test different owner node types (B-node, P-node, M-node, H-node)
        byte[] src = new byte[200];
        int srcIndex = 0;

        Field rDataLengthField = NameServicePacket.class.getDeclaredField("rDataLength");

import jcifs.dcerpc.ndr.NdrBuffer;
import jcifs.dcerpc.ndr.NdrException;

/**
 * Comprehensive test suite for RPC data structures
 * Tests encoding/decoding of UUID, Policy Handle, Unicode String, and SID types
 */
@ExtendWith(MockitoExtension.class)
@DisplayName("RPC Data Structures Test Suite")
class rpcTest {

    @Mock
    private NdrBuffer mockNdrBuffer;

    @Mock
    private NdrBuffer mockDeferredBuffer;

#### "*Schema*" de dados { #data-schema }

O termo "*schema*" também pode se referir à forma de alguns dados, como um conteúdo JSON.

Nesse caso, significaria os atributos JSON e os tipos de dados que eles possuem, etc.

#### OpenAPI e JSON Schema { #openapi-and-json-schema }

#### Esquema de Datos { #data-schema }

El término "esquema" también podría referirse a la forma de algunos datos, como el contenido JSON.

En ese caso, significaría los atributos del JSON, los tipos de datos que tienen, etc.

#### OpenAPI y JSON Schema { #openapi-and-json-schema }

    assertFalse(set.contains(""));
    assertFalse(set.contains("california"));
    assertFalse(set.contains(null));
  }

  @SuppressWarnings("CollectionIncompatibleType") // testing incompatible types
  public void testExplicit_containsMismatchedTypes() {
    SortedSet<String> set =
        ImmutableSortedSet.orderedBy(STRING_LENGTH)
            .add("in", "the", "quick", "jumped", "over", "a")
            .build();

            verify(transportPool).getChallenge(context, address);
            verify(transportPool).logon(context, address);
        }

        @Test
        @DisplayName("Should manage multiple transport types")
        void testMultipleTransportTypes() throws Exception {
            // Given
            SmbTransport sharedTransport = mock(SmbTransport.class);
            SmbTransport exclusiveTransport = mock(SmbTransport.class);

        byte[] b = new byte[10];
        spyHandle.send(b, 2, 4);
        verify(mockOut).writeDirect(eq(b), eq(2), eq(4), eq(1));
    }

    @Test
    @DisplayName("unwrap returns this for compatible types and throws otherwise")
    void unwrap_success_and_failure() {
        SmbPipeHandleImpl handle = newHandleWithBasicStubs(0, "\\\\pipe\\\\z");

        // Happy path: unwrap to interface and concrete type

from functools import lru_cache
from typing import (
    Annotated,
    Any,
    Union,
    cast,
)

from fastapi._compat import shared
from fastapi.openapi.constants import REF_TEMPLATE
from fastapi.types import IncEx, ModelNameMap, UnionType
from pydantic import BaseModel, ConfigDict, Field, TypeAdapter, create_model
from pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError