run: python ./scripts/deploy_docs_status.py
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          COMMIT_SHA: ${{ github.event.workflow_run.head_sha }}
          RUN_ID: ${{ github.run_id }}
      - name: Clean site
        run: |
          rm -rf ./site
          mkdir ./site
      - uses: actions/download-artifact@v4
        with:
          path: ./site/
          pattern: docs-site-*

from pydantic import SecretStr
from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    github_repository: str
    github_token: SecretStr
    deploy_url: str | None = None
    commit_sha: str
    run_id: int
    is_done: bool = False


def main():
    logging.basicConfig(level=logging.INFO)
    settings = Settings()

    logging.info(f"Using config: {settings.model_dump_json()}")

        for (int i = endOfStartRun + 1; i + testBlockSize <= startOfEndRun; i += testBlockSize) {
          boolean runGood = false;
          for (int j = 0; j < testBlockSize; j++) {
            if (hashTable[i + j] == null) {
              runGood = true;
              break;
            }
          }
          if (!runGood) {
            return true;
          }
        }
        return false;
      }
    },

# Kıyaslamalar

Bağımsız TechEmpower kıyaslamaları gösteriyor ki <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">en hızlı Python frameworklerinden birisi</a> olan Uvicorn ile çalıştırılan **FastAPI** uygulamaları, sadece Starlette ve Uvicorn'dan daha düşük sıralamada (FastAPI bu frameworklerin üzerine kurulu) yer alıyor. (*)

# 📇

🔬 🇸🇲 📇 🎦 **FastAPI** 🈸 🏃‍♂ 🔽 Uvicorn <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">1️⃣ ⏩ 🐍 🛠️ 💪</a>, 🕴 🔛 💃 &amp; Uvicorn 👫 (⚙️ 🔘 FastAPI). (*)

✋️ 🕐❔ ✅ 📇 &amp; 🔺 👆 🔜 ✔️ 📄 🤯.

## 📇 &amp; 🚅

🕐❔ 👆 ✅ 📇, ⚫️ ⚠ 👀 📚 🧰 🎏 🆎 🔬 🌓.

🎯, 👀 Uvicorn, 💃 &amp; FastAPI 🔬 👯‍♂️ (👪 📚 🎏 🧰).

# Benchmarks

Unabhängige TechEmpower-Benchmarks zeigen, **FastAPI**-Anwendungen, die unter Uvicorn ausgeführt werden, gehören zu <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">den schnellsten existierenden Python-Frameworks</a>, nur Starlette und Uvicorn selbst (intern von FastAPI verwendet) sind schneller.

# Замеры производительности

Независимые тесты производительности приложений от TechEmpower показывают, что **FastAPI** под управлением Uvicorn <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">один из самых быстрых Python-фреймворков</a> и уступает только Starlette и Uvicorn (которые используются в FastAPI). (*)

# Benchmarks

Los benchmarks independientes de TechEmpower muestran aplicaciones de **FastAPI** que se ejecutan en Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l= zijzen-7" class="external-link" target="_blank">uno de los frameworks de Python más rápidos disponibles</a>, solo por debajo de Starlette y Uvicorn (utilizados internamente por FastAPI). (*)

# Test de performance

Les tests de performance de TechEmpower montrent que les applications **FastAPI** tournant sous Uvicorn comme <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">étant l'un des frameworks Python les plus rapides disponibles</a>, seulement inférieur à Starlette et Uvicorn (tous deux utilisés au cœur de FastAPI). (*)

# 벤치마크

독립적인 TechEmpower 벤치마크에 따르면 **FastAPI** 애플리케이션이 Uvicorn을 사용하여 <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">가장 빠른 Python 프레임워크 중 하나</a>로 실행되며, Starlette와 Uvicorn 자체(내부적으로 FastAPI가 사용하는 도구)보다 조금 아래에 위치합니다.

그러나 벤치마크와 비교를 확인할 때 다음 사항을 염두에 두어야 합니다.

## 벤치마크와 속도

벤치마크를 확인할 때, 일반적으로 여러 가지 유형의 도구가 동등한 것으로 비교되는 것을 볼 수 있습니다.