}

void TFE_ContextGetFunctionDef(TFE_Context* ctx, const char* function_name,
                               TF_Buffer* buf, TF_Status* status) {
  auto* function_def = tensorflow::unwrap(ctx)->FindFunctionDef(function_name);
  if (function_def == nullptr) {
    status->status = tensorflow::errors::NotFound(
        "Unable to find FunctionDef with name: ", function_name);
    return;
  }

    val couldBeExtensionFunction = paramCount > 0
    val paramCountWithReceiver = paramCount - 1
    val functionFqName = "$qualifiedBaseName.${method.name}"

    return collectDescendantsOfType { ktFunction ->
        // Name check
        if (ktFunction.fqName?.asString() != functionFqName) {
            return@collectDescendantsOfType false
        }

        // Preliminary extension function check

	// Used during evaluation for aggregation funcs
	aggregate *aggVal
}

// SimpleArgFunc represents functions with simple expression
// arguments.
type SimpleArgFunc struct {
	FunctionName string `parser:" @(\"AVG\" | \"MAX\" | \"MIN\" | \"SUM\" |  \"COALESCE\" | \"NULLIF\" | \"TO_STRING\" | \"TO_TIMESTAMP\" | \"UTCNOW\" | \"CHAR_LENGTH\" | \"CHARACTER_LENGTH\" | \"LOWER\" | \"UPPER\") "`

      override val badValue: Cache =
        Cache(
          object : ForwardingFileSystem(FakeFileSystem()) {
            override fun onPathParameter(
              path: Path,
              functionName: String,
              parameterName: String,
            ): Path = TODO()
          },
          "/cash".toPath(),
          1,
        )

          path: Path,
          functionName: String,
          parameterName: String,
        ): Path {
          events.add("$functionName:$path")
          return path
        }

        override fun onPathResult(
          path: Path,
          functionName: String,
        ): Path {
          events.add("$functionName:$path")
          return path
        }
      }