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.teamcity/src/main/kotlin/model/FunctionalTestBucketGenerator.kt

            LinkedList(subProjectTestClassTimes),
            SubprojectTestClassTime::totalTime,
            { largeElement, factor ->
                List(factor) { SmallSubprojectBucket(largeElement.subProject, parallelization(factor)) }
            },
            { list ->
                SmallSubprojectBucket(list.map { it.subProject }, parallelization(1))
            },

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github.com/tiangolo/fastapi

docs/es/docs/benchmarks.md

* **Starlette**:
    * Tendrá el siguiente mejor desempeño, después de Uvicorn. De hecho, Starlette usa Uvicorn para correr. Por lo tanto, probablemente sólo pueda volverse "más lento" que Uvicorn al tener que ejecutar más código.

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github.com/tiangolo/fastapi

docs/de/docs/deployment/cloud.md

In den meisten Fällen verfügen die Haupt-Cloud-Anbieter über Anleitungen zum Deployment von FastAPI.

## Cloud-Anbieter – Sponsoren

Einige Cloud-Anbieter ✨ [**sponsern FastAPI**](../help-fastapi.md#den-autor-sponsern){.internal-link target=_blank} ✨, dies gewährleistet die kontinuierliche und gesunde **Entwicklung** von FastAPI und seinem **Ökosystem**.

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github.com/codelibs/fess

src/main/resources/fess_indices/fess/es/stopwords.txt

donde
quien
desde
todo
nos
durante
todos
uno
les
ni
contra
otros
ese
eso
ante
ellos
e
esto
mí
antes
algunos
qué
unos
yo
otro
otras
otra
él
tanto
esa
estos
mucho
quienes
nada
muchos
cual
poco
ella
estar
estas
algunas
algo
nosotros
mi
mis
tú
te
ti
tu
tus
ellas
nosotras
vosotros
vosotras

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github.com/tensorflow/tensorflow

requirements_lock_3_12.txt

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \

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github.com/tensorflow/tensorflow

requirements_lock_3_9.txt

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \

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github.com/kubernetes/kubernetes

CHANGELOG/CHANGELOG-1.28.md

- cloud.google.com/go/workflows: v1.10.0
- github.com/alecthomas/kingpin/v2: [v2.3.2](https://github.com/alecthomas/kingpin/v2/tree/v2.3.2)
- github.com/antlr/antlr4/runtime/Go/antlr/v4: [8188dc5](https://github.com/antlr/antlr4/runtime/Go/antlr/v4/tree/8188dc5)
- github.com/google/gnostic-models: [v0.6.8](https://github.com/google/gnostic-models/tree/v0.6.8)

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github.com/tiangolo/fastapi

docs/pt/docs/async.md

---

Se você simplesmente não sabe, use apenas `def`.

---

**Note**: Você pode misturar `def` e `async def` nas suas *funções de operação de rota* tanto quanto necessário e definir cada função usando a melhor opção para você. FastAPI irá fazer a coisa certa com elas.

De qualquer forma, em ambos os casos acima, FastAPI irá trabalhar assincronamente e ser extremamente rápido.

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github.com/minio/minio

docs/config/README.md

max_wait  (duration)  maximum wait time between operations, defaults to '15s'
cycle     (duration)  time duration between scanner cycles
```

Example: the following setting will decrease the scanner speed by a factor of 3, reducing the system resource use, but increasing the latency of updates being reflected.

```sh
~ mc admin config set alias/ scanner delay=30.0
```

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github.com/tensorflow/tensorflow

requirements_lock_3_10.txt

absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \
    --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \
    --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e
    # via -r requirements.in
astunparse==1.6.3 \

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