import argparse
import collections
import importlib.util
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_table.py
lowerCAmelCase__					=				'src/diffusers'
lowerCAmelCase__					=				'docs/source/en'
lowerCAmelCase__					=				'.'






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__			):
       with open(lowerCAmelCase__			,						'r'			,						encoding='utf-8'			,						newline='\n'			) as f:
              lowerCAmelCase__  			=      f.readlines()
       # Find the start prompt.
       lowerCAmelCase__  			=      0
       while not lines[start_index].startswith(lowerCAmelCase__			):
              start_index += 1
       start_index += 1

       lowerCAmelCase__  			=      start_index
       while not lines[end_index].startswith(lowerCAmelCase__			):
              end_index += 1
       end_index -= 1

       while len(lines[start_index]			) <= 1:
              start_index += 1
       while len(lines[end_index]			) <= 1:
              end_index -= 1
       end_index += 1
       return "".join(lines[start_index:end_index]			), start_index, end_index, lines


# Add here suffixes that are used to identify models, separated by |
lowerCAmelCase__					=				'Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
lowerCAmelCase__					=				re.compile(r'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
lowerCAmelCase__					=				re.compile(r'Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
# Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
lowerCAmelCase__					=				re.compile(r'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


# This is to make sure the diffusers module imported is the one in the repo.
lowerCAmelCase__					=				importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(TRANSFORMERS_PATH, '__init__.py'),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
lowerCAmelCase__					=				spec.loader.load_module()






def    __lowerCamelCase	(		lowerCAmelCase__			):
       lowerCAmelCase__  			=      re.finditer('.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'			,						lowerCAmelCase__			)
       return [m.group(0			) for m in matches]






def    __lowerCamelCase	(		lowerCAmelCase__			,						lowerCAmelCase__			):
       lowerCAmelCase__  			=      2 if text == '✅' or text == '❌' else len(lowerCAmelCase__			)
       lowerCAmelCase__  			=      (width - text_length) // 2
       lowerCAmelCase__  			=      width - text_length - left_indent
       return " " * left_indent + text + " " * right_indent






def    __lowerCamelCase	(		):
       lowerCAmelCase__  			=      diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
       lowerCAmelCase__  			=      {
           name: config_mapping_names[code]
           for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
           if code in config_mapping_names
       }
       lowerCAmelCase__  			=      {name: config.replace('ConfigMixin'			,						''			) for name, config in model_name_to_config.items()}

       # Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
       lowerCAmelCase__  			=      collections.defaultdict(lowerCAmelCase__			)
       lowerCAmelCase__  			=      collections.defaultdict(lowerCAmelCase__			)
       lowerCAmelCase__  			=      collections.defaultdict(lowerCAmelCase__			)
       lowerCAmelCase__  			=      collections.defaultdict(lowerCAmelCase__			)
       lowerCAmelCase__  			=      collections.defaultdict(lowerCAmelCase__			)

       # Let's lookup through all diffusers object (once).
       for attr_name in dir(lowerCAmelCase__			):
              lowerCAmelCase__  			=      None
              if attr_name.endswith('Tokenizer'			):
                     lowerCAmelCase__  			=      slow_tokenizers
                     lowerCAmelCase__  			=      attr_name[:-9]
              elif attr_name.endswith('TokenizerFast'			):
                     lowerCAmelCase__  			=      fast_tokenizers
                     lowerCAmelCase__  			=      attr_name[:-1_3]
              elif _re_tf_models.match(lowerCAmelCase__			) is not None:
                     lowerCAmelCase__  			=      tf_models
                     lowerCAmelCase__  			=      _re_tf_models.match(lowerCAmelCase__			).groups()[0]
              elif _re_flax_models.match(lowerCAmelCase__			) is not None:
                     lowerCAmelCase__  			=      flax_models
                     lowerCAmelCase__  			=      _re_flax_models.match(lowerCAmelCase__			).groups()[0]
              elif _re_pt_models.match(lowerCAmelCase__			) is not None:
                     lowerCAmelCase__  			=      pt_models
                     lowerCAmelCase__  			=      _re_pt_models.match(lowerCAmelCase__			).groups()[0]

              if lookup_dict is not None:
                     while len(lowerCAmelCase__			) > 0:
                            if attr_name in model_name_to_prefix.values():
                                   lowerCAmelCase__  			=      True
                                   break
                            # Try again after removing the last word in the name
                            lowerCAmelCase__  			=      ''.join(camel_case_split(lowerCAmelCase__			)[:-1]			)

    # Let's build that table!
       lowerCAmelCase__  			=      list(model_name_to_config.keys()			)
       model_names.sort(key=str.lower			)
       lowerCAmelCase__  			=      ['Model', 'Tokenizer slow', 'Tokenizer fast', 'PyTorch support', 'TensorFlow support', 'Flax Support']
       # We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
       lowerCAmelCase__  			=      [len(lowerCAmelCase__			) + 2 for c in columns]
       lowerCAmelCase__  			=      max([len(lowerCAmelCase__			) for name in model_names]			) + 2

       # Build the table per se
       lowerCAmelCase__  			=      '|' + '|'.join([_center_text(lowerCAmelCase__			,						lowerCAmelCase__			) for c, w in zip(lowerCAmelCase__			,						lowerCAmelCase__			)]			) + '|\n'
       # Use ":-----:" format to center-aligned table cell texts
       table += "|" + "|".join([':' + '-' * (w - 2) + ':' for w in widths]			) + "|\n"

       lowerCAmelCase__  			=      {True: '✅', False: '❌'}
       for name in model_names:
              lowerCAmelCase__  			=      model_name_to_prefix[name]
              lowerCAmelCase__  			=      [
                  name,
                  check[slow_tokenizers[prefix]],
                  check[fast_tokenizers[prefix]],
                  check[pt_models[prefix]],
                  check[tf_models[prefix]],
                  check[flax_models[prefix]],
              ]
              table += "|" + "|".join([_center_text(lowerCAmelCase__			,						lowerCAmelCase__			) for l, w in zip(lowerCAmelCase__			,						lowerCAmelCase__			)]			) + "|\n"
       return table






def    __lowerCamelCase	(		lowerCAmelCase__=False			):
       lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__  			=      _find_text_in_file(
           filename=os.path.join(lowerCAmelCase__			,						'index.mdx'			)			,						start_prompt='<!--This table is updated automatically from the auto modules'			,						end_prompt='<!-- End table-->'			,						)
       lowerCAmelCase__  			=      get_model_table_from_auto_modules()

       if current_table != new_table:
              if overwrite:
                     with open(os.path.join(lowerCAmelCase__			,						'index.mdx'			)			,						'w'			,						encoding='utf-8'			,						newline='\n'			) as f:
                            f.writelines(lines[:start_index] + [new_table] + lines[end_index:]			)
              else:
                     raise ValueError(
                         'The model table in the `index.mdx` has not been updated. Run `make fix-copies` to fix this.'			)


if __name__ == "__main__":
    lowerCAmelCase__					=				argparse.ArgumentParser()
    parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
    lowerCAmelCase__					=				parser.parse_args()

    check_model_table(args.fix_and_overwrite)

def    __lowerCamelCase	(		lowerCAmelCase__			):
       return " ".join([word[::-1] for word in input_str.split()]			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
