{
                    "loc": ["body", "grant_type"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_strict_login_incorrect_grant_type():
    response = client.post(
        "/login",
        data={"username": "johndoe", "password": "secret", "grant_type": "incorrect"},
    )

                sending the `client_id` and `client_secret` (if any) using HTTP Basic
                auth.
                """
            ),
        ] = None,
    ):
        self.grant_type = grant_type
        self.username = username
        self.password = password
        self.scopes = scope.split()
        self.client_id = client_id
        self.client_secret = client_secret

pkg math/rand/v2, method (*Rand) Int32() int32 #61716
pkg math/rand/v2, method (*Rand) Int32N(int32) int32 #61716
pkg math/rand/v2, method (*Rand) Int64() int64 #61716
pkg math/rand/v2, method (*Rand) Int64N(int64) int64 #61716
pkg math/rand/v2, method (*Rand) IntN(int) int #61716
pkg math/rand/v2, method (*Rand) NormFloat64() float64 #61716
pkg math/rand/v2, method (*Rand) Perm(int) []int #61716

## Outils précédents

### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a>

C'est le framework Python le plus populaire et il bénéficie d'une grande confiance. Il est utilisé pour construire
des systèmes tel qu'Instagram.

Il est relativement fortement couplé aux bases de données relationnelles (comme MySQL ou PostgreSQL), de sorte qu'il

Como parte disso, eu precisava investigar, testar e usar muitas alternativas.

A história do **FastAPI** é, em grande parte, a história de seus predecessores.

Como dito na seção [Alternativas](alternatives.md){.internal-link target=_blank}:

<blockquote markdown="1">

**FastAPI** não existiria se não pelo trabalho anterior de outros.

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable

O resultado de chamar a função é algo que pode ser codificado com o padrão do Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

A função não retorna um grande `str` contendo os dados no formato JSON (como uma string). Mas sim, retorna uma estrutura de dados padrão do Python (por exemplo, um `dict`) com valores e subvalores compatíveis com JSON.

!!! note "Nota"

    a separate file or files, that is not Covered Software.

1.8. "License"
    means this document.

1.9. "Licensable"
    means having the right to grant, to the maximum extent possible,
    whether at the time of the initial grant or subsequently, any and
    all of the rights conveyed by this License.

1.10. "Modifications"
    means any of the following:

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable

* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.