Given the following code containing errors, provide Common Weakness Enumeration (CWE) identifiers and corresponding messages in JSON format. Each identified weakness should have a unique entry in the JSON array.
    Code: TfLiteStatus ResizeOutputandTemporaryTensors(TfLiteContext* context,
                                             TfLiteNode* node) {
  const TfLiteTensor* input = GetInput(context, node, kInputTensor);
  const int num_dims = NumDimensions(input);
  TF_LITE_ENSURE(context, num_dims >= 2);
  const TfLiteTensor* fft_length = GetInput(context, node, kFftLengthTensor);
  const int32_t* fft_length_data = GetTensorData<int32_t>(fft_length);
  // The lib, fft2d, can only handle fft_lengths of power of 2.
  TF_LITE_ENSURE(context, IsPowerOfTwo(fft_length_data[0]));
  TF_LITE_ENSURE(context, IsPowerOfTwo(fft_length_data[1]));

  int fft_height, fft_width;
  fft_height = fft_length_data[0];
  fft_width = fft_length_data[1];
  int fft_working_length = std::max(fft_height, fft_width / 2);
  int half_fft_working_length = fft_working_length / 2;

  // Resize output tensor.
  TfLiteTensor* output = GetOutput(context, node, kOutputTensor);
  TfLiteIntArray* output_shape = TfLiteIntArrayCopy(input->dims);
  output_shape->data[num_dims - 2] = fft_length_data[0];
  output_shape->data[num_dims - 1] = fft_length_data[1] / 2 + 1;
  TF_LITE_ENSURE_STATUS(context->ResizeTensor(context, output, output_shape));

  // Resize temporary tensors, fft_integer_working_area.
  TfLiteTensor* fft_integer_working_area =
      GetTemporary(context, node, kFftIntegerWorkingAreaTensor);
  TfLiteIntArray* fft_integer_working_area_shape = TfLiteIntArrayCreate(1);
  fft_integer_working_area_shape->data[0] =
      2 + static_cast<int>(sqrt(fft_working_length));
  TF_LITE_ENSURE_STATUS(context->ResizeTensor(context, fft_integer_working_area,
                                              fft_integer_working_area_shape));

  // Resize temporary tensors, fft_double_working_area.
  TfLiteTensor* fft_double_working_area =
      GetTemporary(context, node, kFftDoubleWorkingAreaTensor);
  TfLiteIntArray* fft_double_working_area_shape = TfLiteIntArrayCreate(1);
  fft_double_working_area_shape->data[0] =
      half_fft_working_length + fft_width / 4;
  TF_LITE_ENSURE_STATUS(context->ResizeTensor(context, fft_double_working_area,
                                              fft_double_working_area_shape));

  return kTfLiteOk;
} ; Sample JSON Format Confermily Expected output: "examples" => "cwe": "xxx"; "message": "xxx"
    
 'cwe': ['CWE-125', 'CWE-787'], 'message': '[tflite]: Insert `nullptr` checks when obtaining tensors.

As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages.

We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`).

PiperOrigin-RevId: 332521299
Change-Id: I29af455bcb48d0b92e58132d951a3badbd772d56'