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docs/ko/docs/tutorial/first-steps.md
{!../../../docs_src/first_steps/tutorial001.py!} ``` 위 코드를 `main.py`에 복사합니다. 라이브 서버를 실행합니다: <div class="termy"> ```console $ uvicorn main:app --reload <span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) <span style="color: green;">INFO</span>: Started reloader process [28720] <span style="color: green;">INFO</span>: Started server process [28722]
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apache-maven/src/main/appended-resources/licenses/unrecognized-javax.annotation-api-1.3.2.txt
Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does.
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cni/README.md
1. By installing a separate, very basic "CNI plugin" binary onto the node to forward low-level pod lifecycle events (CmdAdd/CmdDel/etc) from whatever node-level CNI subsystem is in use to this node agent for processing via socket. 1. By running as a node-level daemonset that: - listens for these UDS events from the CNI plugin (which fire when new pods are spawned in an ambient-enabled namespace), and adds those pods to the ambient mesh.
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docs/de/docs/tutorial/bigger-applications.md
Führen Sie nun `uvicorn` aus, indem Sie das Modul `app.main` und die Variable `app` verwenden: <div class="termy"> ```console $ uvicorn app.main:app --reload <span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` </div> und öffnen Sie die Dokumentation unter <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.
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docs/en/docs/async.md
With **FastAPI** you can take the advantage of concurrency that is very common for web development (the same main attraction of NodeJS). But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.
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docs/tr/docs/index.md
</details> ### Kodu Çalıştıralım Sunucuyu aşağıdaki komutla çalıştıralım: <div class="termy"> ```console $ uvicorn main:app --reload INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) INFO: Started reloader process [28720] INFO: Started server process [28722] INFO: Waiting for application startup. INFO: Application startup complete. ```
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docs/uk/docs/index.md
</details> ### Запустіть Запустіть server з: <div class="termy"> ```console $ uvicorn main:app --reload INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) INFO: Started reloader process [28720] INFO: Started server process [28722] INFO: Waiting for application startup. INFO: Application startup complete. ```
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docs/fr/docs/index.md
</details> ### Lancez Lancez le serveur avec : <div class="termy"> ```console $ uvicorn main:app --reload INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) INFO: Started reloader process [28720] INFO: Started server process [28722] INFO: Waiting for application startup. INFO: Application startup complete. ```
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docs/em/docs/index.md
</details> ### 🏃 ⚫️ 🏃 💽 ⏮️: <div class="termy"> ```console $ uvicorn main:app --reload INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) INFO: Started reloader process [28720] INFO: Started server process [28722] INFO: Waiting for application startup. INFO: Application startup complete. ```
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okhttp/src/main/kotlin/okhttp3/internal/http/RetryAndFollowUpInterceptor.kt
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