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docs/security/README.md
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tensorflow/c/eager/parallel_device/BUILD
srcs = [ ":device_headers", ":lib_headers", ], visibility = ["//tensorflow/python:__pkg__"], ) filegroup( name = "sources", srcs = [ ":device_sources", ":lib_sources", ], visibility = ["//tensorflow/python:__pkg__"], ) cc_library( name = "parallel_device", srcs = [":device_sources"], hdrs = [":device_headers"],
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.gitignore
.DS_Store .ipynb_checkpoints node_modules /.bazelrc.user /.tf_configure.bazelrc /xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
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docs/de/docs/advanced/async-tests.md
``` . ├── app │ ├── __init__.py │ ├── main.py │ └── test_main.py ``` Die Datei `main.py` hätte als Inhalt: ```Python {!../../../docs_src/async_tests/main.py!} ```
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docs/em/docs/tutorial/dependencies/dependencies-with-yield.md
🚥 👆 ▶️ ⏮️ **FastAPI** 👆 💪 💚 🚶 ⚫️ 🔜. 🐍, 👆 💪 ✍ 🔑 👨💼 <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">🏗 🎓 ⏮️ 2️⃣ 👩🔬: `__enter__()` & `__exit__()`</a>. 👆 💪 ⚙️ 👫 🔘 **FastAPI** 🔗 ⏮️ `yield` ⚙️ `with` ⚖️ `async with` 📄 🔘 🔗 🔢: ```Python hl_lines="1-9 13" {!../../../docs_src/dependencies/tutorial010.py!} ``` !!! tip
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docs/em/docs/advanced/async-tests.md
## 🖼 🙅 🖼, ➡️ 🤔 📁 📊 🎏 1️⃣ 🔬 [🦏 🈸](../tutorial/bigger-applications.md){.internal-link target=_blank} & [🔬](../tutorial/testing.md){.internal-link target=_blank}: ``` . ├── app │ ├── __init__.py │ ├── main.py │ └── test_main.py ``` 📁 `main.py` 🔜 ✔️: ```Python {!../../../docs_src/async_tests/main.py!} ``` 📁 `test_main.py` 🔜 ✔️ 💯 `main.py`, ⚫️ 💪 👀 💖 👉 🔜: ```Python
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docs/ru/docs/tutorial/dependencies/classes-as-dependencies.md
в таком случае он является "вызываемым". ## Классы как зависимости Вы можете заметить, что для создания экземпляра класса в Python используется тот же синтаксис. Например: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy") ``` В данном случае `fluffy` является экземпляром класса `Cat`. А чтобы создать `fluffy`, вы "вызываете" `Cat`.
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docs/ru/docs/tutorial/dependencies/dependencies-with-yield.md
В Python для создания менеджеров контекста можно <a href="https://docs.python.org/3/reference/datamodel.html#context-managers" class="external-link" target="_blank">создать класс с двумя методами: `__enter__()` и `__exit__()`</a>. Вы также можете использовать их внутри зависимостей **FastAPI** с `yield`, используя операторы `with` или `async with` внутри функции зависимости: ```Python hl_lines="1-9 13"
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docs/zh/docs/tutorial/dependencies/classes-as-dependencies.md
或者 ```Python something(some_argument, some_keyword_argument="foo") ``` 这就是 "可调用对象"。 ## 类作为依赖项 您可能会注意到,要创建一个 Python 类的实例,您可以使用相同的语法。 举个例子: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy") ``` 在这个例子中, `fluffy` 是一个 `Cat` 类的实例。 为了创建 `fluffy`,你调用了 `Cat` 。 所以,Python 类也是 **可调用对象**。
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