






import argparse
import collections
import os
import re

from transformers.utils import direct_transformers_import


# 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      :       Union[str, Any]    =						'''src/transformers'''
lowerCamelCase      :       int    =						'''docs/source/en'''
lowerCamelCase      :       Tuple    =						'''.'''





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

     __lowerCAmelCase             =       start_index
     while not lines[end_index].startswith(__snake_case							):
          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      :       Tuple    =						'''Model|Encoder|Decoder|ForConditionalGeneration'''
# Regexes that match TF/Flax/PT model names.
lowerCamelCase      :       Dict    =						re.compile(R'''TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')
lowerCamelCase      :       Any    =						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      :       str    =						re.compile(R'''(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')


# This is to make sure the transformers module imported is the one in the repo.
lowerCamelCase      :       Optional[Any]    =						direct_transformers_import(TRANSFORMERS_PATH)





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





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





def    __lowerCAmelCase   (    ):
     __lowerCAmelCase             =       transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
     __lowerCAmelCase             =       {
         name: config_maping_names[code]
         for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
         if code in config_maping_names
     }
     __lowerCAmelCase             =       {name: config.replace("Config"       ,			""							) 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(__snake_case							)
     __lowerCAmelCase             =       collections.defaultdict(__snake_case							)
     __lowerCAmelCase             =       collections.defaultdict(__snake_case							)
     __lowerCAmelCase             =       collections.defaultdict(__snake_case							)
     __lowerCAmelCase             =       collections.defaultdict(__snake_case							)

     # Let's lookup through all transformers object (once).
     for attr_name in dir(__snake_case							):
          __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[:-13]
          elif _re_tf_models.match(__snake_case							) is not None:
               __lowerCAmelCase             =       tf_models
               __lowerCAmelCase             =       _re_tf_models.match(__snake_case							).groups()[0]
          elif _re_flax_models.match(__snake_case							) is not None:
               __lowerCAmelCase             =       flax_models
               __lowerCAmelCase             =       _re_flax_models.match(__snake_case							).groups()[0]
          elif _re_pt_models.match(__snake_case							) is not None:
               __lowerCAmelCase             =       pt_models
               __lowerCAmelCase             =       _re_pt_models.match(__snake_case							).groups()[0]

          if lookup_dict is not None:
               while len(__snake_case							) > 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(__snake_case							)[:-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(__snake_case							) + 2 for c in columns]
     __lowerCAmelCase             =       max([len(__snake_case							) for name in model_names]							) + 2

     # Build the table per se
     __lowerCAmelCase             =       "|" + "|".join([_center_text(__snake_case       ,			__snake_case							) for c, w in zip(__snake_case       ,			__snake_case							)]							) + "|\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(__snake_case       ,			__snake_case							) for l, w in zip(__snake_case       ,			__snake_case							)]							) + "|\n"
     return table





def    __lowerCAmelCase   (    __snake_case=False							):
     __lowerCAmelCase      ,			__lowerCAmelCase      ,			__lowerCAmelCase      ,			__lowerCAmelCase             =       _find_text_in_file(
         filename=os.path.join(__snake_case       ,			"index.md"							)       ,			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(__snake_case       ,			"index.md"							)       ,			"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.md` has not been updated. Run `make fix-copies` to fix this."							)


if __name__ == "__main__":
 lowerCamelCase      :       Tuple    =						argparse.ArgumentParser()
 parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
 lowerCamelCase      :       Optional[int]    =						parser.parse_args()

 check_model_table(args.fix_and_overwrite)














import itertools
import string
from collections.abc import Generator, Iterable





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     __lowerCAmelCase             =       iter(__snake_case							)
     while True:
          __lowerCAmelCase             =       tuple(itertools.islice(__snake_case       ,			__snake_case							)							)
          if not chunk:
               return
          yield chunk





def    __lowerCAmelCase   (    __snake_case							):
     __lowerCAmelCase             =       "".join([c.upper() for c in dirty if c in string.ascii_letters]							)
     __lowerCAmelCase             =       ""

     if len(__snake_case							) < 2:
          return dirty

     for i in range(len(__snake_case							) - 1							):
          clean += dirty[i]

          if dirty[i] == dirty[i + 1]:
               clean += "X"

     clean += dirty[-1]

     if len(__snake_case							) & 1:
          clean += "X"

     return clean





def    __lowerCAmelCase   (    __snake_case							):
     # I and J are used interchangeably to allow
     # us to use a 5x5 table (25 letters)
     __lowerCAmelCase             =       "ABCDEFGHIKLMNOPQRSTUVWXYZ"
     # we're using a list instead of a '2d' array because it makes the math
     # for setting up the table and doing the actual encoding/decoding simpler
     __lowerCAmelCase             =       []

     # copy key chars into the table if they are in `alphabet` ignoring duplicates
     for char in key.upper():
          if char not in table and char in alphabet:
               table.append(__snake_case							)

    # fill the rest of the table in with the remaining alphabet chars
     for char in alphabet:
          if char not in table:
               table.append(__snake_case							)

     return table





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     __lowerCAmelCase             =       generate_table(__snake_case							)
     __lowerCAmelCase             =       prepare_input(__snake_case							)
     __lowerCAmelCase             =       ""

     # https://en.wikipedia.org/wiki/Playfair_cipher#Description
     for chara, chara in chunker(__snake_case       ,			2							):
          __lowerCAmelCase      ,			__lowerCAmelCase             =       divmod(table.index(__snake_case							)       ,			5							)
          __lowerCAmelCase      ,			__lowerCAmelCase             =       divmod(table.index(__snake_case							)       ,			5							)

          if rowa == rowa:
               ciphertext += table[rowa * 5 + (cola + 1) % 5]
               ciphertext += table[rowa * 5 + (cola + 1) % 5]
          elif cola == cola:
               ciphertext += table[((rowa + 1) % 5) * 5 + cola]
               ciphertext += table[((rowa + 1) % 5) * 5 + cola]
          else:  # rectangle
               ciphertext += table[rowa * 5 + cola]
               ciphertext += table[rowa * 5 + cola]

     return ciphertext





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     __lowerCAmelCase             =       generate_table(__snake_case							)
     __lowerCAmelCase             =       ""

     # https://en.wikipedia.org/wiki/Playfair_cipher#Description
     for chara, chara in chunker(__snake_case       ,			2							):
          __lowerCAmelCase      ,			__lowerCAmelCase             =       divmod(table.index(__snake_case							)       ,			5							)
          __lowerCAmelCase      ,			__lowerCAmelCase             =       divmod(table.index(__snake_case							)       ,			5							)

          if rowa == rowa:
               plaintext += table[rowa * 5 + (cola - 1) % 5]
               plaintext += table[rowa * 5 + (cola - 1) % 5]
          elif cola == cola:
               plaintext += table[((rowa - 1) % 5) * 5 + cola]
               plaintext += table[((rowa - 1) % 5) * 5 + cola]
          else:  # rectangle
               plaintext += table[rowa * 5 + cola]
               plaintext += table[rowa * 5 + cola]

     return plaintext






