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docs/ru/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián Ramírez <******@****.***> 1728247014 +0200
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docs/de/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián Ramírez <******@****.***> 1728247014 +0200
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
Then, in **FastAPI**, you could use a Python class as a dependency. What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined. If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.
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docs/pt/docs/tutorial/dependencies/classes-as-dependencies.md
Se você passar algo "chamável" como uma dependência do **FastAPI**, o framework irá analisar os parâmetros desse "chamável" e processá-los da mesma forma que os parâmetros de uma *função de operação de rota*. Incluindo as sub-dependências. Isso também se aplica a objetos chamáveis que não recebem nenhum parâmetro. Da mesma forma que uma *função de operação de rota* sem parâmetros.
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docs/em/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián Ramírez <******@****.***> 1728247014 +0200
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docs/ja/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián Ramírez <******@****.***> 1728247014 +0200
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docs/ko/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián Ramírez <******@****.***> 1728247014 +0200
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docs/zh/docs/tutorial/dependencies/classes-as-dependencies.md
Sebastián Ramírez <******@****.***> 1728247014 +0200
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docs/en/docs/img/deployment/https/https01.drawio
<mxGeometry relative="1" as="geometry"> <mxPoint x="105" y="-280" as="sourcePoint"/> <mxPoint x="390" y="-260" as="targetPoint"/> <Array as="points"> <mxPoint x="390" y="-430"/> </Array> </mxGeometry>
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tensorflow/api_template.__init__.py
import sysconfig as _sysconfig import importlib import inspect as _inspect import os as _os import site as _site import sys as _sys _os.environ.setdefault("ENABLE_RUNTIME_UPTIME_TELEMETRY", "1") # Do not remove this line; See https://github.com/tensorflow/tensorflow/issues/42596 from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow # pylint: disable=unused-import
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