baseScope.processAllCallables { callable ->
                if (isTargetCallable(callable)) {
                    add(callable.name)
                }
            }
        }
    }

    override fun getCallableNames(): Set<Name> = cachedCallableNames

    override fun processFunctionsByName(name: Name, processor: (FirNamedFunctionSymbol) -> Unit) {
        if (!cachedCallableNames.contains(name)) return

import org.jetbrains.kotlin.name.Name
import org.jetbrains.kotlin.platform.jvm.isJvm

/**
 * Provides top-level names for classifiers and callables in given packages. Apart from names found in sources and binaries,
 * [DeclarationsInPackageProvider] also collects names for classifiers and callables generated by
 * [FirDeclarationGenerationExtension][org.jetbrains.kotlin.fir.extensions.FirDeclarationGenerationExtension]s.
 *

 * non-static scopes.
 */
internal class FirNonStaticMembersScope(
    private val delegate: FirContainingNamesAwareScope,
) : FirCallableFilteringScope(delegate) {
    override fun isTargetCallable(callable: FirCallableSymbol<*>): Boolean = !callable.fir.isStatic

    override fun processDeclaredConstructors(processor: (FirConstructorSymbol) -> Unit) {
        delegate.processDeclaredConstructors(processor)
    }

                ?: MemberScope.Empty
        } else {
            analysisContext.resolveSession.moduleDescriptor.getPackage(callableId.packageName).memberScope
        }

        @Suppress("UNCHECKED_CAST")
        return memberScope
            .getContributedDescriptors(DescriptorKindFilter.CALLABLES) { it == callableId.callableName }
            .filterIsInstance<CallableMemberDescriptor>()

    }

    private fun KtAnalysisSession.collectSymbolsByFqNameInterpretationAsCallableId(
        callableId: CallableId,
        consumer: MutableCollection<KtSymbol>,
    ) {
        when (val classId = callableId.classId) {
            null -> {
                consumer.addAll(getTopLevelCallableSymbols(callableId.packageName, callableId.callableName))
            }

            else -> {

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.

            DeclaredMemberScopeKind.COMBINED -> combinedScope
        }
    }

    /**
     * Returns a declared member scope which contains both static and non-static callables, as well as all classifiers. Java classes need to
     * be handled specially, because [declaredMemberScope] doesn't handle Java enhancement properly.
     */

    return ClassLiteralResolutionResult(type.toKtType(analysisContext), classId)
}

internal val CallableMemberDescriptor.callableIdIfNotLocal: CallableId?
    get() = calculateCallableId(allowLocal = false)

internal fun CallableMemberDescriptor.calculateCallableId(allowLocal: Boolean): CallableId? {
    if (this is SyntheticJavaPropertyDescriptor) {
        return getMethod.calculateCallableId(allowLocal)?.copy(callableName = name)
    }

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.

        else ->
            return true
    }
    val resolution = reference.resolve()
    return resolution != null && resolution !is KtClass
}

/**
 * Invocations of _statically named_ callables is not considered a use. E.g.
 * consider
 *
 *   1)   fun f() { 54 }; f()
 *   2)   val f = { 54 }; f()
 *
 * in which the `f` in 2) is regarded as used and `f` in 1) is not.
 */