part.typeArgumentList.typeArguments.map { builder.typeBuilder.buildTypeProjection(it.toConeTypeProjection()) },
                        builder.token
                    )
                }

            is ConeUnresolvedNameError -> listOf(
                KaClassTypeQualifier.KaUnresolvedClassTypeQualifier(coneDiagnostic.name, emptyList(), builder.token)
            )

    public String getPrompt() {
        StringBuilder builder = new StringBuilder();
        builder.append(question);
        builder.append(":");
        builder.append(TextUtil.getPlatformLineSeparator());
        for (int i = 0; i < options.size(); i++) {
            builder.append("  ");
            builder.append(i + 1);
            builder.append(": ");
            builder.append(options.get(i));

internal fun FirCallableSymbol<*>.createContextReceivers(
    builder: KaSymbolByFirBuilder
): List<KaContextReceiver> {
    return resolvedContextReceivers.map { createContextReceiver(builder, it) }
}

internal fun FirRegularClassSymbol.createContextReceivers(
    builder: KaSymbolByFirBuilder
): List<KaContextReceiver> {
    return resolvedContextReceivers.map { createContextReceiver(builder, it) }
}

private fun createContextReceiver(

internal fun FirClassSymbol<*>.superTypesList(builder: KaSymbolByFirBuilder): List<KaType> = resolvedSuperTypeRefs.mapToKtType(builder)

private fun List<FirTypeRef>.mapToKtType(
    builder: KaSymbolByFirBuilder,
): List<KaType> = map { typeRef ->
    builder.typeBuilder.buildKtType(typeRef)
}

internal fun FirCallableSymbol<*>.returnType(builder: KaSymbolByFirBuilder): KaType =
    builder.typeBuilder.buildKtType(resolvedReturnType)

    }

    public void format(StringBuilder builder, long size) {
        format(builder, size, null, false);
    }

    public void format(StringBuilder builder, long size, ScaleUnit unit) {
        format(builder, size, unit, false);
    }

    @SuppressWarnings("checkstyle:magicnumber")
    private void format(StringBuilder builder, long size, ScaleUnit unit, boolean omitSymbol) {
        if (size < 0L) {

    substitutor: ConeSubstitutor,
    builder: KaSymbolByFirBuilder,
) : AbstractKaFirSubstitutor<ConeSubstitutor>(substitutor, builder)

@OptIn(KaAnalysisApiInternals::class)
internal class KaFirMapBackedSubstitutor(
    substitutor: ConeSubstitutorByMap,
    builder: KaSymbolByFirBuilder,
) : AbstractKaFirSubstitutor<ConeSubstitutorByMap>(substitutor, builder,), KaMapBackedSubstitutor {

    /**
     * Creates a new factory for the given context. Returns a {@link Builder} for further configuration of the created instance. You must provide an Instantiator when creating the child factory from
     * the root one.
     */
    Builder forContext();

    /**
     * Builder to configure an instance of the new factory.
     */
    interface Builder {
        Builder withFileResolver(FileResolver fileResolver);

                getSymbolDescriptor(builder.symbol) as? ClassDescriptor
            }
        }

        if (descriptor == null) {
            val name = when (builder) {
                is KaClassTypeBuilder.ByClassId -> builder.classId.asString()
                is KaClassTypeBuilder.BySymbol ->
                    builder.symbol.classId?.asString()
                        ?: builder.symbol.name?.asString()

                   OpBuilder* builder) {
  llvm::SetVector<Value> live_ins;
  getUsedValuesDefinedAbove(launch_op.getBody(), launch_op.getBody(), live_ins);

  func::FuncOp outlined_func =
      BuildFunction(live_ins.getArrayRef(), launch_op, symbol_table, builder);
  launch_op->setAttr(
      builder->getStringAttr(kFuncAttr),
      mlir::SymbolRefAttr::get(builder->getContext(), outlined_func.getName()));

}

mlir::Type ConvertElementType(tflite::TensorType type, mlir::Builder builder) {
  switch (type) {
    case tflite::TensorType_FLOAT16:
      return builder.getF16Type();
    case tflite::TensorType_BFLOAT16:
      return builder.getBF16Type();
    case tflite::TensorType_FLOAT32:
      return builder.getF32Type();
    case tflite::TensorType_FLOAT64:
      return builder.getF64Type();
    case tflite::TensorType_INT32: