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guava-testlib/README.md
# Guava Testlib: Google Testing Libraries for Java Guava testlib is a set of Java classes for more convenient unit testing. ## Adding Guava Testlib to your build Guava testlib's Maven group ID is `com.google.guava` and its artifact ID is `guava-testlib`. To add a dependency on Guava testlib using Maven, use the following: ```xml <dependency> <groupId>com.google.guava</groupId> <artifactId>guava-testlib</artifactId>
Plain Text - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Wed Mar 13 18:17:09 GMT 2024 - 1.7K bytes - Viewed (0) -
fastapi/utils.py
import re import warnings from dataclasses import is_dataclass from typing import ( TYPE_CHECKING, Any, Dict, MutableMapping, Optional, Set, Type, Union, cast, ) from weakref import WeakKeyDictionary import fastapi from fastapi._compat import ( PYDANTIC_V2, BaseConfig, ModelField, PydanticSchemaGenerationError, Undefined, UndefinedType,
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
docs_src/extra_data_types/tutorial001_an_py310.py
from datetime import datetime, time, timedelta from typing import Annotated from uuid import UUID from fastapi import Body, FastAPI app = FastAPI() @app.put("/items/{item_id}") async def read_items( item_id: UUID, start_datetime: Annotated[datetime, Body()], end_datetime: Annotated[datetime, Body()], process_after: Annotated[timedelta, Body()], repeat_at: Annotated[time | None, Body()] = None, ):
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Apr 19 00:11:40 GMT 2024 - 788 bytes - Viewed (0) -
docs_src/extra_data_types/tutorial001_an_py39.py
from datetime import datetime, time, timedelta from typing import Annotated, Union from uuid import UUID from fastapi import Body, FastAPI app = FastAPI() @app.put("/items/{item_id}") async def read_items( item_id: UUID, start_datetime: Annotated[datetime, Body()], end_datetime: Annotated[datetime, Body()], process_after: Annotated[timedelta, Body()], repeat_at: Annotated[Union[time, None], Body()] = None, ):
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Apr 19 00:11:40 GMT 2024 - 801 bytes - Viewed (0) -
docs_src/security/tutorial003_an_py39.py
from typing import Annotated, Union from fastapi import Depends, FastAPI, HTTPException, status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from pydantic import BaseModel fake_users_db = { "johndoe": { "username": "johndoe", "full_name": "John Doe", "email": "******@****.***", "hashed_password": "fakehashedsecret", "disabled": False, }, "alice": {
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 2.5K bytes - Viewed (0) -
docs/en/docs/tutorial/body-nested-models.md
But Python has a specific way to declare lists with internal types, or "type parameters": ### Import typing's `List` In Python 3.9 and above you can use the standard `list` to declare these type annotations as we'll see below. 💡 But in Python versions before 3.9 (3.6 and above), you first need to import `List` from standard Python's `typing` module: ```Python hl_lines="1" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ```
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docs_src/security/tutorial007_an_py39.py
import secrets from typing import Annotated from fastapi import Depends, FastAPI, HTTPException, status from fastapi.security import HTTPBasic, HTTPBasicCredentials app = FastAPI() security = HTTPBasic() def get_current_username( credentials: Annotated[HTTPBasicCredentials, Depends(security)], ): current_username_bytes = credentials.username.encode("utf8") correct_username_bytes = b"stanleyjobson"
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 16:56:53 GMT 2024 - 1.1K bytes - Viewed (0) -
docs/ja/docs/tutorial/body-nested-models.md
しかし、Pythonには型や「タイプパラメータ」を使ってリストを宣言する方法があります: ### typingの`List`をインポート まず、Pythonの標準の`typing`モジュールから`List`をインポートします: ```Python hl_lines="1" {!../../../docs_src/body_nested_models/tutorial002.py!} ``` ### タイプパラメータを持つ`List`の宣言 `list`や`dict`、`tuple`のようなタイプパラメータ(内部の型)を持つ型を宣言するには: * `typing`モジュールからそれらをインストールします。 * 角括弧(`[`と`]`)を使って「タイプパラメータ」として内部の型を渡します: ```Python from typing import List my_list: List[str] ```
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docs/zh/docs/tutorial/body-nested-models.md
## 具有子类型的 List 字段 但是 Python 有一种特定的方法来声明具有子类型的列表: ### 从 typing 导入 `List` 首先,从 Python 的标准库 `typing` 模块中导入 `List`: ```Python hl_lines="1" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ### 声明具有子类型的 List 要声明具有子类型的类型,例如 `list`、`dict`、`tuple`: * 从 `typing` 模块导入它们 * 使用方括号 `[` 和 `]` 将子类型作为「类型参数」传入 ```Python from typing import List my_list: List[str] ```
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android/guava/src/com/google/common/util/concurrent/ExecutionList.java
checkNotNull(runnable, "Runnable was null."); checkNotNull(executor, "Executor was null."); // Lock while we check state. We must maintain the lock while adding the new pair so that // another thread can't run the list out from under us. We only add to the list if we have not // yet started execution. synchronized (this) { if (!executed) {
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