"Invalid strides array from DLPack");
    return nullptr;
  }

  TFE_TensorHandle* handle = TFE_NewTensorHandleFromDeviceMemory(
      ctx, device_name.value().c_str(), dtype, dims, num_dims, data,
      total_bytes, &DeallocatorWrapperFunc, dlmt, status);

  return handle;
}

  static bool FullMatch(const ::std::string& str, const RE& re) {
    return FullMatch(str.c_str(), re);
  }
  static bool PartialMatch(const ::std::string& str, const RE& re) {
    return PartialMatch(str.c_str(), re);
  }

#if GTEST_HAS_GLOBAL_STRING

  static bool FullMatch(const ::string& str, const RE& re) {
    return FullMatch(str.c_str(), re);
  }
  static bool PartialMatch(const ::string& str, const RE& re) {

      inputs, noutputs, outputs, output_names, 0, nullptr, nullptr, opts,
      description, status);
}

const char* TF_FunctionName(TF_Function* func) {
  return func->record->fdef().signature().name().c_str();
}

void TF_GraphCopyFunction(TF_Graph* g, const TF_Function* func,
                          const TF_Function* grad, TF_Status* status) {
  if (func == nullptr) {
    status->status = InvalidArgument(

func (sys *IAMSys) GetRolePolicy(arnStr string) (arn.ARN, string, error) {
	roleArn, err := arn.Parse(arnStr)
	if err != nil {
		return arn.ARN{}, "", fmt.Errorf("RoleARN parse err: %v", err)
	}
	rolePolicy, ok := sys.rolesMap[roleArn]
	if !ok {
		return arn.ARN{}, "", fmt.Errorf("RoleARN %s is not defined.", arnStr)
	}
	return roleArn, rolePolicy, nil
}

        stderr, \
        "\n%s: Caught std::exception-derived exception escaping the " \
        "death test statement. Exception message: %s\n", \
        ::testing::internal::FormatFileLocation(__FILE__, __LINE__).c_str(), \
        gtest_exception.what()); \
    fflush(stderr); \
    death_test->Abort(::testing::internal::DeathTest::TEST_THREW_EXCEPTION); \
  } catch (...) { \

    llvm::SourceMgr* source_mgr,
    std::unique_ptr<tensorflow::SavedModelBundle>* saved_model_bundle) {
  if (absl::EndsWith(input_path, ".mlir")) {
    auto file_or_err = llvm::MemoryBuffer::getFileOrSTDIN(input_path.c_str());
    if (std::error_code error = file_or_err.getError()) {
      return tensorflow::errors::InvalidArgument(
          absl::StrCat("Could not open input file: ", input_path,

		s.writeErrorResponse(w, errInvalidArgument)
		return
	}
	var verifier *BitrotVerifier
	if r.Form.Get(storageRESTBitrotAlgo) != "" {
		hashStr := r.Form.Get(storageRESTBitrotHash)
		var hash []byte
		hash, err = hex.DecodeString(hashStr)
		if err != nil {
			s.writeErrorResponse(w, err)
			return
		}
		verifier = NewBitrotVerifier(BitrotAlgorithmFromString(r.Form.Get(storageRESTBitrotAlgo)), hash)

		arns = append(arns, rCfg.RoleArn)
	} else {
		for _, rule := range rCfg.Rules {
			arns = append(arns, rule.Destination.String())
		}
	}
	var sameTarget bool
	for _, arnStr := range arns {
		arn, err := madmin.ParseARN(arnStr)
		if err != nil {
			return sameTarget, errorCodes.ToAPIErrWithErr(ErrBucketRemoteArnInvalid, err)
		}
		if arn.Type != madmin.ReplicationService {

      *error.mutable_source_task() = result.error_payload().source_task();
      TF_SetPayload(&s, tensorflow::CoordinationErrorPayloadKey().data(),
                    error.SerializeAsString().c_str());
    }
    *state_iter = std::move(s);
    ++state_iter;
  }
  status->status = absl::OkStatus();
}

void TFE_WaitAtBarrier(TFE_Context* ctx, const char* barrier_id,

		// #cgo (nocallback|noescape) <function name>
		if fields := strings.Fields(line); len(fields) == 3 && (fields[1] == "nocallback" || fields[1] == "noescape") {
			continue
		}

		// Split at colon.
		line, argstr, ok := strings.Cut(strings.TrimSpace(line[4:]), ":")
		if !ok {
			return fmt.Errorf("%s: invalid #cgo line: %s", filename, orig)
		}

		// Parse GOOS/GOARCH stuff.
		f := strings.Fields(line)