Function update_stats has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def update_stats(history, stats, callbacks):
  """Normalizes and updates dictionary of stats.

  Args:
    history: Results of the training step.

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Avoid deeply nested control flow statements.

Open

          if not feature.token_is_max_context.get(start_index, False):
            continue
          if end_index < start_index:

Avoid deeply nested control flow statements.

Open

          if not is_impossible:
            answer = qa["answers"][0]
            orig_answer_text = answer["text"]
            start_position = answer["answer_start"]
          else:

Avoid deeply nested control flow statements.

Open

          if train_metric:
            tf.summary.scalar(
                train_metric.name,
                _float_metric_value(train_metric),
                step=current_step)

Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self, hidden_size, start_n_top, end_n_top, initializer,

Avoid deeply nested control flow statements.

Open

          if correct_strip:
            line = native_to_unicode(line)
          line = line.strip()

Avoid deeply nested control flow statements.

Open

          for token in _split_string_to_tokens(
              native_to_unicode(line), master_char_set):
            token_counts[token] += 1
  return token_counts

Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self, xlnet_config, run_config, n_class, summary_type,

Avoid deeply nested control flow statements.

Open

            if "model/transformer/layer_{}/".format(l) in tvars[i].name:
              abs_rate = input_meta_data["lr_layer_decay_rate"]**(
                  n_layer - 1 - l)
              clipped[i] *= abs_rate
              logging.info("Apply mult {:.4f} to layer-{} grad of {}".format(

Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self, xlnet_config, run_config, start_n_top, end_n_top,

Avoid deeply nested control flow statements.

Open

            for metric_obj in train_metrics:
              tf.summary.scalar(metric_obj.name, metric_obj.result(),
                                current_step)
              summary_writer.flush()

Function call has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def call(self,

Function run_evaluation has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def run_evaluation(strategy,

Function format_filename has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def format_filename(prefix,

Function get_dataset has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def get_dataset(params, num_hosts, num_core_per_host, split, file_names,
                num_batch, seq_len, reuse_len, perm_size, mask_alpha,
                mask_beta, use_bfloat16=False, num_predict=None):
  """Gets the dataset."""

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Function file_based_convert_examples_to_features has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def file_based_convert_examples_to_features(examples,
                                            label_list,
                                            max_seq_length,
                                            tokenize_fn,
                                            output_file,

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Function _convert_example has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def _convert_example(example, use_bfloat16):
  """Cast int64 into int32 and float32 to bfloat16 if use_bfloat16."""
  for key in list(example.keys()):
    val = example[key]
    if tf_keras.backend.is_sparse(val):

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Function _split_string_to_tokens has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def _split_string_to_tokens(text, master_char_set):
  """Splits text to a list of string tokens."""
  if not text:
    return []
  ret = []

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Function evaluate_and_log_bleu has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def evaluate_and_log_bleu(model,

Function get_synth_input_fn has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def get_synth_input_fn(height,