fun create(packageParts: List<Name>, classParts: List<Name>, callable: Name?): FqNameInterpretation {
            val packageName = FqName.fromSegments(packageParts.map { it.asString() })
            val relativeClassName = FqName.fromSegments(classParts.map { it.asString() })

            return when {
                classParts.isEmpty() && callable == null -> FqNameInterpretationAsPackage(packageName)

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"

    return new WrappingExecutorService(service) {
      @Override
      protected <T extends @Nullable Object> Callable<T> wrapTask(Callable<T> callable) {
        return Callables.threadRenaming(callable, nameSupplier);
      }

      @Override
      protected Runnable wrapTask(Runnable command) {
        return Callables.threadRenaming(command, nameSupplier);
      }
    };
  }

  /**

def is_coroutine_callable(call: Callable[..., Any]) -> bool:
    if inspect.isroutine(call):
        return inspect.iscoroutinefunction(call)
    if inspect.isclass(call):
        return False
    dunder_call = getattr(call, "__call__", None)  # noqa: B004
    return inspect.iscoroutinefunction(dunder_call)


def is_async_gen_callable(call: Callable[..., Any]) -> bool:

    set: list,
    UUID: str,
    Url: str,
    AnyUrl: str,
}


def generate_encoders_by_class_tuples(
    type_encoder_map: Dict[Any, Callable[[Any], Any]],
) -> Dict[Callable[[Any], Any], Tuple[Any, ...]]:
    encoders_by_class_tuples: Dict[Callable[[Any], Any], Tuple[Any, ...]] = defaultdict(
        tuple
    )
    for type_, encoder in type_encoder_map.items():
        encoders_by_class_tuples[encoder] += (type_,)

Eine Python-Klasse ist also auch ein **Callable**.

Darum können Sie in **FastAPI** auch eine Python-Klasse als Abhängigkeit verwenden.

Was FastAPI tatsächlich prüft, ist, ob es sich um ein „Callable“ (Funktion, Klasse oder irgendetwas anderes) handelt und ob die Parameter definiert sind.

So, a Python class is also a **callable**.

Then, in **FastAPI**, you could use a Python class as a dependency.

What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined.

                    ?: qualifiedCall.referencedCallableSymbol?.computeImportableName(firSession)
            }

            /**
             * Returns correct importable name for implicitly dispatched callable - that is, a callable
             * which has a dispatch receiver, but whose dispatch receiver is present implicitly. The most
             * important case for that is the following:
             *
             * ```kt

            Errors.NAMED_PARAMETER_NOT_FOUND,
            Errors.NAMED_ARGUMENTS_NOT_ALLOWED,
            Errors.VARARG_OUTSIDE_PARENTHESES,
            Errors.SPREAD_OF_NULLABLE,
            Errors.SPREAD_OF_LAMBDA_OR_CALLABLE_REFERENCE,
            Errors.MANY_LAMBDA_EXPRESSION_ARGUMENTS,
            Errors.UNEXPECTED_TRAILING_LAMBDA_ON_A_NEW_LINE,
            Errors.TOO_MANY_ARGUMENTS,

from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union

from fastapi._compat import (
    PYDANTIC_V2,
    CoreSchema,
    GetJsonSchemaHandler,
    JsonSchemaValue,
    _model_rebuild,
    with_info_plain_validator_function,
)
from fastapi.logger import logger
from pydantic import AnyUrl, BaseModel, Field
from typing_extensions import Annotated, Literal, TypedDict