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  1. build-logic-commons/module-identity/src/main/kotlin/gradlebuild/identity/extension/ReleasedVersionsDetails.kt

        }
    
        private
        fun VersionNumber.format() =
            // reformat according to our versioning scheme, since toString() would typically convert 1.0 to 1.0.0
            GradleVersion.version("$major.${minor}${if (micro > 0) ".$micro" else ""}${if (qualifier != null) "-$qualifier" else ""}")
    Registered: Wed Nov 06 11:36:14 UTC 2024
    - Last Modified: Mon Jun 10 06:17:20 UTC 2024
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  2. docs/fr/docs/benchmarks.md

    La hiérarchie est la suivante :
    
    * **Uvicorn** : un serveur ASGI
        * **Starlette** : (utilise Uvicorn) un micro-framework web
            * **FastAPI**: (utilise Starlette) un micro-framework pour API disposant de fonctionnalités additionnelles pour la création d'API, avec la validation des données, etc.
    
    * **Uvicorn** :
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Thu Jul 27 18:49:56 UTC 2023
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  3. docs/fr/docs/alternatives.md

    Ce découplage des parties, et le fait d'être un "micro-framework" qui puisse être étendu pour couvrir exactement ce
    qui est nécessaire, était une caractéristique clé que je voulais conserver.
    
    Compte tenu de la simplicité de Flask, il semblait bien adapté à la création d'API. La prochaine chose à trouver était un "Django REST Framework" pour Flask.
    
    /// check | "A inspiré **FastAPI** à"
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 20 19:20:23 UTC 2024
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  4. docs/metrics/prometheus/grafana/node/minio-node.json

              "interval": "",
              "legendFormat": "[{{drive}}:{{api}}]",
              "refId": "B"
            }
          ],
          "title": "Drive Latency (micro sec)",
          "type": "timeseries"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "description": "",
          "fieldConfig": {
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Tue Jun 04 13:24:37 UTC 2024
    - 22.4K bytes
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  5. docs/tr/docs/alternatives.md

    Kullanıcılar için otomatik API dökümantasyonu sunan bir web arayüzüne sahip olmalı.
    
    ///
    
    ### <a href="https://flask.palletsprojects.com" class="external-link" target="_blank">Flask</a>
    
    Flask bir <abbr title="Mikro Framework: Micro Framework">mikro framework</abbr> olduğundan Django gibi framework'lerin aksine veritabanı entegrasyonu gibi Django ile gelen pek çok özelliği direkt barındırmaz.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 20 19:20:23 UTC 2024
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  6. cmd/prepare-storage.go

    		return nil, nil, errInvalidArgument
    	}
    
    	// prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks.
    	// All times are rounded to avoid showing milli, micro and nano seconds
    	formatStartTime := time.Now().Round(time.Second)
    	getElapsedTime := func() string {
    		return time.Now().Round(time.Second).Sub(formatStartTime).String()
    	}
    
    	var (
    		tries   int
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Fri Jul 12 20:51:54 UTC 2024
    - 11.1K bytes
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  7. docs/fa/docs/features.md

    با FastAPI شما تمام ویژگی های Pydantic را دراختیار دارید (زیرا FastAPI برای تمام بخش مدیریت دیتا بر اساس Pydantic عمل میکند):
    
    * **خبری از گیج شدن نیست**:
        * هیچ <abbr title="micro-language">زبان خردی</abbr> برای یادگیری تعریف طرحواره های جدید وجود ندارد.
        * اگر تایپ های پایتون را میشناسید، نحوه استفاده از Pydantic را نیز میدانید.
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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  8. docs/en/docs/features.md

    With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):
    
    * **No brainfuck**:
        * No new schema definition micro-language to learn.
        * If you know Python types you know how to use Pydantic.
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Thu Aug 15 23:30:12 UTC 2024
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  9. docs/es/docs/features.md

    Con **FastAPI** obtienes todas las características de **Pydantic** (dado que FastAPI está basado en Pydantic para todo el manejo de datos):
    
    * **Sin dificultades para entender**:
        * No necesitas aprender un nuevo micro-lenguaje de definición de schemas.
        * Si sabes tipos de Python, sabes cómo usar Pydantic.
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Mon Aug 19 18:15:21 UTC 2024
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  10. docs/pt/docs/features.md

    Com **FastAPI** você terá todos os recursos do **Pydantic** (já que FastAPI utiliza o Pydantic para todo o controle dos dados):
    
    * **Sem pegadinhas**:
        * Sem novas definições de esquema de micro-linguagem para aprender.
        * Se você conhece os tipos do Python, você sabe como usar o Pydantic.
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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