for (const Node* n : fn_body->graph.nodes()) {
    stack_traces[n->name()] = n->GetStackTrace();
  }

  TF_Function* tf_function = new TF_Function();
  tf_function->record = new tensorflow::FunctionRecord(
      std::move(fdef), std::move(stack_traces), false);

  return tf_function;
}

TF_Function* TF_GraphToFunction(const TF_Graph* fn_body, const char* fn_name,

  private static final List<String> SOME_STRING_LIST = asList("1", "2", "3", "4");

  private static final Function<Number, String> SOME_FUNCTION = new SomeFunction();

  private static class SomeFunction implements Function<Number, String>, Serializable {
    @Override
    public String apply(Number n) {
      return String.valueOf(n);
    }

  private static final List<String> SOME_STRING_LIST = asList("1", "2", "3", "4");

  private static final Function<Number, String> SOME_FUNCTION = new SomeFunction();

  private static class SomeFunction implements Function<Number, String>, Serializable {
    @Override
    public String apply(Number n) {
      return String.valueOf(n);
    }

}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

// On success, returns a set of TF_Function instances from `text_proto` of
// GraphDef type. These functions must be deleted by calling TF_DeleteFunction.
//

            token,
        )
    }
    add(FirErrors.FUNCTION_EXPECTED) { firDiagnostic ->
        FunctionExpectedImpl(
            firDiagnostic.a,
            firSymbolBuilder.typeBuilder.buildKtType(firDiagnostic.b),
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.INTERFACE_AS_FUNCTION) { firDiagnostic ->
        InterfaceAsFunctionImpl(

  fi
}

# This function is designed for maximum compatibility with various platforms. This runs on
# any Mac or Linux platform with bash 4.2+. Please take care not to modify this function
# without testing properly.
#
# This function will properly handle any type of path including those with spaces using the
# loading pattern specified by *kubectl config*.

    override val descriptor: FunctionDescriptor? by cached {
        val bindingContext = analysisContext.analyze(psi)
        bindingContext[BindingContext.FUNCTION, psi]
    }

    override val valueParameters: List<KtValueParameterSymbol>
        get() = withValidityAssertion {
            return if (psi.valueParameters.isNotEmpty()) {

    override val descriptor: FunctionDescriptor? by cached {
        val bindingContext = analysisContext.analyze(psi, AnalysisMode.PARTIAL)
        bindingContext[BindingContext.FUNCTION, psi]
    }

    override val valueParameters: List<KtValueParameterSymbol>
        get() = withValidityAssertion { psi.valueParameters.map { KtFe10PsiValueParameterSymbol(it, analysisContext) } }

    // No dependency requirements for testing-support.
    if (project.name == "okhttp-testing-support") return@dependencies

    if (project.name == "mockwebserver3-junit5") {
      // JUnit 5's APIs need java.util.function.Function and java.util.Optional from API 24.
      signature(rootProject.libs.signature.android.apilevel24) { artifact { type = "signature" } }
    } else {
      // Everything else requires Android API 21+.

        resolveFragmentOfCall: Boolean
    ): List<KtCallCandidateInfo> {
        // If a function call is resolved to an implicit invoke call, the FirImplicitInvokeCall will have the `invoke()` function as the
        // callee and the variable as the explicit receiver. To correctly get all candidates, we need to get the original function
        // call's explicit receiver (if there is any) and callee (i.e., the variable).