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
_SCREAMING_SNAKE_CASE      						=	"src/transformers"
_SCREAMING_SNAKE_CASE      						=	"docs/source/en"
_SCREAMING_SNAKE_CASE      						=	"."





def        lowercase(     UpperCamelCase_				, UpperCamelCase_				, UpperCamelCase_    )						->     Optional[int]:







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

 UpperCamelCase          =	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 |
_SCREAMING_SNAKE_CASE      						=	"Model|Encoder|Decoder|ForConditionalGeneration"
# Regexes that match TF/Flax/PT model names.
_SCREAMING_SNAKE_CASE      						=	re.compile(r"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
_SCREAMING_SNAKE_CASE      						=	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.
_SCREAMING_SNAKE_CASE      						=	re.compile(r"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


# This is to make sure the transformers module imported is the one in the repo.
_SCREAMING_SNAKE_CASE      						=	direct_transformers_import(TRANSFORMERS_PATH)





def        lowercase(     UpperCamelCase_    )						->     Optional[Any]:







 '''simple docstring'''
 UpperCamelCase          =	re.finditer(""".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"""				, lowerCamelCase_    )
 return [m.group(0    ) for m in matches]





def        lowercase(     UpperCamelCase_				, UpperCamelCase_    )						->     Optional[Any]:







 '''simple docstring'''
 UpperCamelCase          =	2 if text == '✅' or text == '❌' else len(lowerCamelCase_    )
 UpperCamelCase          =	(width - text_length) // 2
 UpperCamelCase          =	width - text_length - left_indent
 return " " * left_indent + text + " " * right_indent





def        lowercase(     )						->     List[Any]:







 '''simple docstring'''
 UpperCamelCase          =	transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
 UpperCamelCase          =	{
     name: config_maping_names[code]
     for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
     if code in config_maping_names
 }
 UpperCamelCase          =	{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.
 UpperCamelCase          =	collections.defaultdict(lowerCamelCase_    )
 UpperCamelCase          =	collections.defaultdict(lowerCamelCase_    )
 UpperCamelCase          =	collections.defaultdict(lowerCamelCase_    )
 UpperCamelCase          =	collections.defaultdict(lowerCamelCase_    )
 UpperCamelCase          =	collections.defaultdict(lowerCamelCase_    )

 # Let's lookup through all transformers object (once).
 for attr_name in dir(lowerCamelCase_    ):
  UpperCamelCase          =	None
  if attr_name.endswith("""Tokenizer"""    ):
   UpperCamelCase          =	slow_tokenizers
   UpperCamelCase          =	attr_name[:-9]
  elif attr_name.endswith("""TokenizerFast"""    ):
   UpperCamelCase          =	fast_tokenizers
   UpperCamelCase          =	attr_name[:-13]
  elif _re_tf_models.match(lowerCamelCase_    ) is not None:
   UpperCamelCase          =	tf_models
   UpperCamelCase          =	_re_tf_models.match(lowerCamelCase_    ).groups()[0]
  elif _re_flax_models.match(lowerCamelCase_    ) is not None:
   UpperCamelCase          =	flax_models
   UpperCamelCase          =	_re_flax_models.match(lowerCamelCase_    ).groups()[0]
  elif _re_pt_models.match(lowerCamelCase_    ) is not None:
   UpperCamelCase          =	pt_models
   UpperCamelCase          =	_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():
     UpperCamelCase          =	True
     break
    # Try again after removing the last word in the name
    UpperCamelCase          =	''.join(camel_case_split(lowerCamelCase_    )[:-1]    )

    # Let's build that table!
 UpperCamelCase          =	list(model_name_to_config.keys()    )
 model_names.sort(key=str.lower    )
 UpperCamelCase          =	['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).
 UpperCamelCase          =	[len(lowerCamelCase_    ) + 2 for c in columns]
 UpperCamelCase          =	max([len(lowerCamelCase_    ) for name in model_names]    ) + 2

 # Build the table per se
 UpperCamelCase          =	'|' + '|'.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"

 UpperCamelCase          =	{True: '✅', False: '❌'}
 for name in model_names:
  UpperCamelCase          =	model_name_to_prefix[name]
  UpperCamelCase          =	[
      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        lowercase(     UpperCamelCase_=False    )						->     List[Any]:







 '''simple docstring'''
 UpperCamelCase          =	_find_text_in_file(
     filename=os.path.join(lowerCamelCase_				, """index.md"""    )				, start_prompt="""<!--This table is updated automatically from the auto modules"""				, end_prompt="""<!-- End table-->"""				, )
 UpperCamelCase          =	get_model_table_from_auto_modules()

 if current_table != new_table:
  if overwrite:
   with open(os.path.join(lowerCamelCase_				, """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__":
     _SCREAMING_SNAKE_CASE      						=	argparse.ArgumentParser()
     parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
     _SCREAMING_SNAKE_CASE      						=	parser.parse_args()

     check_model_table(args.fix_and_overwrite)




from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt



def 				UpperCamelCase_(      lowerCamelCase_ )    ->						bool:
    _lowercase       :							int      		=		int(number**0.5 )
    return number == sq * sq



def 				UpperCamelCase_(      lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )    ->						tuple[int, int]:
    _lowercase       :							int      		=		x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
    _lowercase       :							int      		=		x_den * y_den * z_den
    _lowercase       :							int      		=		gcd(lowerCamelCase_							, lowerCamelCase_ )
    top //= hcf
    bottom //= hcf
    return top, bottom



def 				UpperCamelCase_(      lowerCamelCase_ = 35 )    ->						int:
    _lowercase       :							set      		=		set()
    _lowercase       :							int
    _lowercase       :							Fraction      		=		Fraction(0 )
    _lowercase       :							tuple[int, int]

    for x_num in range(1							, order + 1 ):
        for x_den in range(x_num + 1							, order + 1 ):
            for y_num in range(1							, order + 1 ):
                for y_den in range(y_num + 1							, order + 1 ):
                    # n=1
                    _lowercase       :							int      		=		x_num * y_den + x_den * y_num
                    _lowercase       :							int      		=		x_den * y_den
                    _lowercase       :							str      		=		gcd(lowerCamelCase_							, lowerCamelCase_ )
                    z_num //= hcf
                    z_den //= hcf
                    if 0 < z_num < z_den <= order:
                        _lowercase       :							List[Any]      		=		add_three(
                            lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )
                        unique_s.add(lowerCamelCase_ )

                    # n=2
                    _lowercase       :							Dict      		=		(
                        x_num * x_num * y_den * y_den + x_den * x_den * y_num * y_num
                    )
                    _lowercase       :							List[Any]      		=		x_den * x_den * y_den * y_den
                    if is_sq(lowerCamelCase_ ) and is_sq(lowerCamelCase_ ):
                        _lowercase       :							Tuple      		=		int(sqrt(lowerCamelCase_ ) )
                        _lowercase       :							int      		=		int(sqrt(lowerCamelCase_ ) )
                        _lowercase       :							Any      		=		gcd(lowerCamelCase_							, lowerCamelCase_ )
                        z_num //= hcf
                        z_den //= hcf
                        if 0 < z_num < z_den <= order:
                            _lowercase       :							Optional[int]      		=		add_three(
                                lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )
                            unique_s.add(lowerCamelCase_ )

                    # n=-1
                    _lowercase       :							Any      		=		x_num * y_num
                    _lowercase       :							str      		=		x_den * y_num + x_num * y_den
                    _lowercase       :							Any      		=		gcd(lowerCamelCase_							, lowerCamelCase_ )
                    z_num //= hcf
                    z_den //= hcf
                    if 0 < z_num < z_den <= order:
                        _lowercase       :							int      		=		add_three(
                            lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )
                        unique_s.add(lowerCamelCase_ )

                    # n=2
                    _lowercase       :							str      		=		x_num * x_num * y_num * y_num
                    _lowercase       :							Optional[Any]      		=		(
                        x_den * x_den * y_num * y_num + x_num * x_num * y_den * y_den
                    )
                    if is_sq(lowerCamelCase_ ) and is_sq(lowerCamelCase_ ):
                        _lowercase       :							Tuple      		=		int(sqrt(lowerCamelCase_ ) )
                        _lowercase       :							List[str]      		=		int(sqrt(lowerCamelCase_ ) )
                        _lowercase       :							Union[str, Any]      		=		gcd(lowerCamelCase_							, lowerCamelCase_ )
                        z_num //= hcf
                        z_den //= hcf
                        if 0 < z_num < z_den <= order:
                            _lowercase       :							Tuple      		=		add_three(
                                lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_							, lowerCamelCase_ )
                            unique_s.add(lowerCamelCase_ )

    for num, den in unique_s:
        total += Fraction(lowerCamelCase_							, lowerCamelCase_ )

    return total.denominator + total.numerator


if __name__ == "__main__":
 print(F"{solution() = }")


