from typing import Dict, List, Optional, Tuple

import pytest
from fastapi import FastAPI, Query
from pydantic import BaseModel


def test_invalid_sequence():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/")
        def read_items(q: List[Item] = Query(default=None)):
            pass  # pragma: no cover

from typing import Any, Callable, List, Optional, Sequence

from fastapi._compat import ModelField
from fastapi.security.base import SecurityBase


class SecurityRequirement:
    def __init__(
        self, security_scheme: SecurityBase, scopes: Optional[Sequence[str]] = None
    ):
        self.security_scheme = security_scheme
        self.scopes = scopes


class Dependant:
    def __init__(
        self,
        *,

    get_missing_field_error,
    is_bytes_field,
    is_bytes_sequence_field,
    is_scalar_field,
    is_scalar_sequence_field,
    is_sequence_field,
    is_uploadfile_or_nonable_uploadfile_annotation,
    is_uploadfile_sequence_annotation,
    lenient_issubclass,
    sequence_types,
    serialize_sequence_value,
    value_is_sequence,
)
from fastapi.background import BackgroundTasks

def test_is_bytes_sequence_annotation_union():
    # For coverage
    # TODO: in theory this would allow declaring types that could be lists of bytes
    # to be read from files and other types, but I'm not even sure it's a good idea
    # to support it as a first class "feature"
    assert is_bytes_sequence_annotation(Union[List[str], List[bytes]])


def test_is_uploadfile_sequence_annotation():
    # For coverage

def get_openapi(
    *,
    title: str,
    version: str,
    openapi_version: str = "3.1.0",
    summary: Optional[str] = None,
    description: Optional[str] = None,
    routes: Sequence[BaseRoute],
    webhooks: Optional[Sequence[BaseRoute]] = None,
    tags: Optional[List[Dict[str, Any]]] = None,
    servers: Optional[List[Dict[str, Union[str, Any]]]] = None,
    terms_of_service: Optional[str] = None,

        return is_pv1_scalar_field(field)

    def is_sequence_field(field: ModelField) -> bool:
        return field.shape in sequence_shapes or _annotation_is_sequence(field.type_)  # type: ignore[attr-defined]

    def is_scalar_sequence_field(field: ModelField) -> bool:
        return is_pv1_scalar_sequence_field(field)

    def is_bytes_field(field: ModelField) -> bool:

Also, Couchbase recommends not using a single `Bucket` object in multiple "<abbr title="A sequence of code being executed by the program, while at the same time, or at intervals, there can be others being executed too.">thread</abbr>s", so, we can just get the bucket directly and pass it to our utility functions:

    """


class ValidationException(Exception):
    def __init__(self, errors: Sequence[Any]) -> None:
        self._errors = errors

    def errors(self) -> Sequence[Any]:
        return self._errors


class RequestValidationError(ValidationException):
    def __init__(self, errors: Sequence[Any], *, body: Any = None) -> None:
        super().__init__(errors)
        self.body = body

## Password hashing

"Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

Whenever you pass exactly the same content (exactly the same password) you get exactly the same gibberish.

But you cannot convert from the gibberish back to the password.

, 🗄 👍 🚫 ⚙️ 👁 `Bucket` 🎚 💗 "<abbr title="A sequence of code being executed by the program, while at the same time, or at intervals, there can be others being executed too.">🧵</abbr>Ⓜ",, 👥 💪 🤚 🥡 🔗 &amp; 🚶‍♀️ ⚫️ 👆 🚙 🔢:

```Python hl_lines="49-53"