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:

import warnings
from enum import Enum
from typing import Any, Callable, Dict, List, Optional, Sequence, Union

from fastapi.openapi.models import Example
from pydantic.fields import FieldInfo
from typing_extensions import Annotated, deprecated

from ._compat import PYDANTIC_V2, PYDANTIC_VERSION, Undefined

_Unset: Any = Undefined


class ParamTypes(Enum):
    query = "query"
    header = "header"
    path = "path"

    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

    """


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

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:

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

from fastapi import params
from fastapi._compat import Undefined
from fastapi.openapi.models import Example
from typing_extensions import Annotated, Doc, deprecated

_Unset: Any = Undefined


def Path(  # noqa: N802
    default: Annotated[
        Any,
        Doc(
            """
            Default value if the parameter field is not set.

    ```Python hl_lines="7"
    {!> ../../../docs_src/query_params_str_validations/tutorial003_py310.py!}
    ```

## 🚮 🥔 🧬

👆 💪 🔬 <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">🥔 🧬</abbr> 👈 🔢 🔜 🏏:

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="11"
    {!> ../../../docs_src/query_params_str_validations/tutorial004.py!}

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,

## 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.

from enum import Enum
from typing import (
    Any,
    Awaitable,
    Callable,
    Coroutine,
    Dict,
    List,
    Optional,
    Sequence,
    Type,
    TypeVar,
    Union,
)

from fastapi import routing
from fastapi.datastructures import Default, DefaultPlaceholder
from fastapi.exception_handlers import (
    http_exception_handler,
    request_validation_exception_handler,