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RELEASE.md
matrices or batches of matrices (CPU only). * Added gradients for eigenvalues and eigenvectors computed using `self_adjoint_eig` or `self_adjoint_eigvals`. * Eliminated `batch_*` methods for most linear algebra and FFT ops and promoted the non-batch version of the ops to handle batches of matrices.
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docs/fr/docs/history-design-future.md
Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives. L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs. Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} : <blockquote markdown="1">
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docs/fr/docs/async.md
* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.
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docs/fr/docs/tutorial/body.md
```JSON { "name": "Foo", "description": "An optional description", "price": 45.2, "tax": 3.5 } ``` ...`description` et `tax` étant des attributs optionnels (avec `None` comme valeur par défaut), cet "objet" JSON serait aussi valide : ```JSON { "name": "Foo", "price": 45.2 } ``` ## Déclarez-le comme paramètre
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.typos.toml
[files] extend-exclude = [ ".git/", "docs/", ] ignore-hidden = false [default] extend-ignore-re = [ "Patrick Collison", "Copyright 2014 Unknwon", "[0-9A-Za-z/+=]{64}", "ZXJuZXQxDjAMBgNVBA-some-junk-Q4wDAYDVQQLEwVNaW5pbzEOMAwGA1UEAxMF", "eyJmb28iOiJiYXIifQ", "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.*", "MIIDBTCCAe2gAwIBAgIQWHw7h.*", 'http\.Header\{"X-Amz-Server-Side-Encryptio":',
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docs/it/docs/index.md
```Python return {"item_name": item.name, "item_id": item_id} ``` ...da: ```Python ... "item_name": item.name ... ``` ...a: ```Python ... "item_price": item.price ... ``` ...e osserva come il tuo editor di testo autocompleterà gli attributi e sarà in grado di riconoscere i loro tipi: ![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)
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tests/test_tutorial/test_dataclasses/test_tutorial001.py
response = client.post("/items/", json={"name": "Foo", "price": 3}) assert response.status_code == 200 assert response.json() == { "name": "Foo", "price": 3, "description": None, "tax": None, } def test_post_invalid_item(): response = client.post("/items/", json={"name": "Foo", "price": "invalid price"}) assert response.status_code == 422
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tests/test_tutorial/test_body_fields/test_tutorial001_an_py310.py
} @needs_py310 def test_invalid_price(client: TestClient): response = client.put("/items/5", json={"item": {"name": "Foo", "price": -3.0}}) assert response.status_code == 422 assert response.json() == IsDict( { "detail": [ { "type": "greater_than", "loc": ["body", "item", "price"], "msg": "Input should be greater than 0",
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tests/test_tutorial/test_body_fields/test_tutorial001.py
} def test_invalid_price(client: TestClient): response = client.put("/items/5", json={"item": {"name": "Foo", "price": -3.0}}) assert response.status_code == 422 assert response.json() == IsDict( { "detail": [ { "type": "greater_than", "loc": ["body", "item", "price"], "msg": "Input should be greater than 0",
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tests/test_tutorial/test_body_fields/test_tutorial001_py310.py
} @needs_py310 def test_invalid_price(client: TestClient): response = client.put("/items/5", json={"item": {"name": "Foo", "price": -3.0}}) assert response.status_code == 422 assert response.json() == IsDict( { "detail": [ { "type": "greater_than", "loc": ["body", "item", "price"], "msg": "Input should be greater than 0",
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