code: def make_markdown_table(lines):
      """
      Create a nice Markdown table from the results in `lines`.
      """
      if lines is None or len(lines) == 0:
          return ""
      col_widths = {key: len(str(key)) for key in lines[0].keys()}
      for line in lines:
          for key, value in line.items():
              if col_widths[key] < len(_maybe_round(value)):
                  col_widths[key] = len(_maybe_round(value))
  
      table = _regular_table_line(
          list(lines[0].keys()), list(col_widths.values())
      )
      table += _second_table_line(list(col_widths.values()))
      for line in lines:
          table += _regular_table_line(
              [_maybe_round(v) for v in line.values()],
              list(col_widths.values()),
          )
      return table
  
imports: import copy
  import json
  import os
  import warnings
  from dataclasses import dataclass
  from pathlib import Path
  from typing import Any, Dict, List, Optional, Union
  import requests
  import yaml
  from huggingface_hub import model_info
  from huggingface_hub.utils import HFValidationError
  from .None import __version__
  from .models.auto.modeling_auto import MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_CAUSAL_LM_MAPPING_NAMES, MODEL_FOR_CTC_MAPPING_NAMES, MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING_NAMES
  from .training_args import ParallelMode
  from .utils import MODEL_CARD_NAME, cached_file, is_datasets_available, is_offline_mode, is_tf_available, is_tokenizers_available, is_torch_available, logging
label_desc: Use image node_id 13 for calling a global function with example usage: make_markdown_table(lines) and returns: table, str