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docs/de/docs/advanced/settings.md
``` Und dann verwenden Sie diese in einer Datei `main.py`: ```Python hl_lines="3 11-13" {!../../../docs_src/settings/app01/main.py!} ``` !!! tip "Tipp" Sie benötigen außerdem eine Datei `__init__.py`, wie in [Größere Anwendungen – mehrere Dateien](../tutorial/bigger-applications.md){.internal-link target=_blank} gesehen. ## Einstellungen in einer Abhängigkeit
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api/go1.3.txt
pkg syscall (openbsd-386), const SYS_UTRACE = 209 pkg syscall (openbsd-386), const SYS_UTRACE ideal-int pkg syscall (openbsd-386), const SYS_WAIT4 = 11 pkg syscall (openbsd-386), const SYS___THRSLEEP = 94 pkg syscall (openbsd-386), const SizeofIfData = 212 pkg syscall (openbsd-386), const SizeofIfMsghdr = 236 pkg syscall (openbsd-386), const SizeofRtMetrics = 56
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docs/em/docs/tutorial/dependencies/classes-as-dependencies.md
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docs/em/docs/how-to/sql-databases-peewee.md
⚫️ ✔️ 🌐 ⚛ ⚒ 🏒 ⚙️ `contextvars` ↩️ `threading.local`. `contextvars` 👷 🍖 🎏 🌘 `threading.local`. ✋️ 🎂 🏒 🔗 📟 🤔 👈 👉 🎓 👷 ⏮️ `threading.local`. , 👥 💪 ➕ 🎱 ⚒ ⚫️ 👷 🚥 ⚫️ ⚙️ `threading.local`. `__init__`, `__setattr__`, & `__getattr__` 🛠️ 🌐 ✔ 🎱 👉 ⚙️ 🏒 🍵 🤔 👈 ⚫️ 🔜 🔗 ⏮️ FastAPI. !!! tip 👉 🔜 ⚒ 🏒 🎭 ☑ 🕐❔ ⚙️ ⏮️ FastAPI. 🚫 🎲 📂 ⚖️ 📪 🔗 👈 ➖ ⚙️, 🏗 ❌, ♒️.
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docs/zh/docs/deployment/docker.md
Successfully installed fastapi pydantic uvicorn ``` </div> !!! info 还有其他文件格式和工具来定义和安装依赖项。 我将在下面的部分中向你展示一个使用 Poetry 的示例。 👇 ### 创建 **FastAPI** 代码 * 创建`app`目录并进入。 * 创建一个空文件`__init__.py`。 * 创建一个 `main.py` 文件: ```Python from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root():
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docs/zh/docs/tutorial/sql-databases.md
在文档中也有一篇使用 Peewee 的等效的文章。 ## 文件结构 对于这些示例,假设您有一个名为的目录`my_super_project`,其中包含一个名为的子目录`sql_app`,其结构如下: ``` . └── sql_app ├── __init__.py ├── crud.py ├── database.py ├── main.py ├── models.py └── schemas.py ``` 该文件`__init__.py`只是一个空文件,但它告诉 Python 其中`sql_app`的所有模块(Python 文件)都是一个包。 现在让我们看看每个文件/模块的作用。 ## 安装 SQLAlchemy 先下载`SQLAlchemy`所需要的依赖: <div class="termy">
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docs/em/docs/tutorial/sql-databases.md
## 📁 📊 👫 🖼, ➡️ 💬 👆 ✔️ 📁 📛 `my_super_project` 👈 🔌 🎧-📁 🤙 `sql_app` ⏮️ 📊 💖 👉: ``` . └── sql_app ├── __init__.py ├── crud.py ├── database.py ├── main.py ├── models.py └── schemas.py ``` 📁 `__init__.py` 🛁 📁, ✋️ ⚫️ 💬 🐍 👈 `sql_app` ⏮️ 🌐 🚮 🕹 (🐍 📁) 📦. 🔜 ➡️ 👀 ⚫️❔ 🔠 📁/🕹 🔨. ## ❎ `SQLAlchemy` 🥇 👆 💪 ❎ `SQLAlchemy`:
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
``` then it is a "callable". ## Classes as dependencies You might notice that to create an instance of a Python class, you use that same syntax. For example: ```Python class Cat: def __init__(self, name: str): self.name = name fluffy = Cat(name="Mr Fluffy") ``` In this case, `fluffy` is an instance of the class `Cat`. And to create `fluffy`, you are "calling" `Cat`.
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docs/bucket/versioning/README.md
<Status>Enabled</Status> <ExcludedPrefixes> <Prefix>*/_temporary</Prefix> </ExcludedPrefixes> <ExcludedPrefixes> <Prefix>*/__magic</Prefix> </ExcludedPrefixes> <ExcludedPrefixes> <Prefix>*/_staging</Prefix> </ExcludedPrefixes> <!-- .. up to 10 prefixes in all --> </VersioningConfiguration>
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tensorflow/c/experimental/gradients/BUILD
filegroup( name = "pywrap_required_hdrs", srcs = [ "array_grad.h", "math_grad.h", "nn_grad.h", "not_differentiable.h", ], visibility = ["//tensorflow/python:__pkg__"], ) cc_library( name = "grad_test_helper", testonly = True, srcs = ["grad_test_helper.cc"], hdrs = ["grad_test_helper.h"], visibility = ["//visibility:private"], deps = [
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