


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						=		'''src/transformers'''
lowerCamelCase						=		'''docs/source/en'''
lowerCamelCase						=		'''.'''






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a	):




		"""simple docstring"""






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

		lowerCAmelCase__       :      Tuple   					= start_index
		while not lines[end_index].startswith(_a	):
				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 transformers module imported is the one in the repo.
lowerCamelCase						=		direct_transformers_import(TRANSFORMERS_PATH)






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






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






def 					lowerCamelCase_   (	_a     ,       _a	):




		"""simple docstring"""






		lowerCAmelCase__       :      List[str]   					= 2 if text == '''✅''' or text == '''❌''' else len(_a	)
		lowerCAmelCase__       :      Union[str, Any]   					= (width - text_length) // 2
		lowerCAmelCase__       :      Tuple   					= width - text_length - left_indent
		return " " * left_indent + text + " " * right_indent






def 					lowerCamelCase_   (	):




		"""simple docstring"""






		lowerCAmelCase__       :      Any   					= transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
		lowerCAmelCase__       :      str   					= {
		    name: config_maping_names[code]
		    for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
		    if code in config_maping_names
		}
		lowerCAmelCase__       :      Dict   					= {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__       :      int   					= collections.defaultdict(_a	)
		lowerCAmelCase__       :      Optional[int]   					= collections.defaultdict(_a	)
		lowerCAmelCase__       :      Union[str, Any]   					= collections.defaultdict(_a	)
		lowerCAmelCase__       :      Union[str, Any]   					= collections.defaultdict(_a	)
		lowerCAmelCase__       :      int   					= collections.defaultdict(_a	)

		# Let's lookup through all transformers object (once).
		for attr_name in dir(_a	):
				lowerCAmelCase__       :      int   					= None
				if attr_name.endswith('''Tokenizer'''	):
						lowerCAmelCase__       :      List[str]   					= slow_tokenizers
						lowerCAmelCase__       :      str   					= attr_name[:-9]
				elif attr_name.endswith('''TokenizerFast'''	):
						lowerCAmelCase__       :      Optional[int]   					= fast_tokenizers
						lowerCAmelCase__       :      int   					= attr_name[:-13]
				elif _re_tf_models.match(_a	) is not None:
						lowerCAmelCase__       :      List[str]   					= tf_models
						lowerCAmelCase__       :      int   					= _re_tf_models.match(_a	).groups()[0]
				elif _re_flax_models.match(_a	) is not None:
						lowerCAmelCase__       :      int   					= flax_models
						lowerCAmelCase__       :      Dict   					= _re_flax_models.match(_a	).groups()[0]
				elif _re_pt_models.match(_a	) is not None:
						lowerCAmelCase__       :      List[Any]   					= pt_models
						lowerCAmelCase__       :      List[str]   					= _re_pt_models.match(_a	).groups()[0]

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

    # Let's build that table!
		lowerCAmelCase__       :      str   					= list(model_name_to_config.keys()	)
		model_names.sort(key=str.lower	)
		lowerCAmelCase__       :      str   					= ['''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__       :      Union[str, Any]   					= [len(_a	) + 2 for c in columns]
		lowerCAmelCase__       :      Dict   					= max([len(_a	) for name in model_names]	) + 2

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

		lowerCAmelCase__       :      Optional[Any]   					= {True: '''✅''', False: '''❌'''}
		for name in model_names:
				lowerCAmelCase__       :      Optional[int]   					= model_name_to_prefix[name]
				lowerCAmelCase__       :      Union[str, Any]   					= [
				    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(_a     ,       _a	) for l, w in zip(_a     ,       _a	)]	) + "|\n"
		return table






def 					lowerCamelCase_   (	_a=False	):




		"""simple docstring"""






		lowerCAmelCase__					,     lowerCAmelCase__					,     lowerCAmelCase__					,     lowerCAmelCase__       :      Tuple   					= _find_text_in_file(
		    filename=os.path.join(_a     ,       '''index.md'''	)     ,       start_prompt='''<!--This table is updated automatically from the auto modules'''     ,       end_prompt='''<!-- End table-->'''     ,       )
		lowerCAmelCase__       :      Dict   					= get_model_table_from_auto_modules()

		if current_table != new_table:
				if overwrite:
						with open(os.path.join(_a     ,       '''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						=		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)








from math import isqrt






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		lowerCAmelCase__       :      Dict   					= [True] * max_number
		for i in range(2     ,       isqrt(max_number - 1	) + 1	):
				if is_prime[i]:
						for j in range(i**2     ,       _a     ,       _a	):
								lowerCAmelCase__       :      int   					= False

		return [i for i in range(2     ,       _a	) if is_prime[i]]






def 					lowerCamelCase_   (	_a = 10**8	):




		"""simple docstring"""






		lowerCAmelCase__       :      Any   					= calculate_prime_numbers(max_number // 2	)

		lowerCAmelCase__       :      Tuple   					= 0
		lowerCAmelCase__       :      List[Any]   					= 0
		lowerCAmelCase__       :      Optional[int]   					= len(_a	) - 1
		while left <= right:
				while prime_numbers[left] * prime_numbers[right] >= max_number:
						right -= 1
				semiprimes_count += right - left + 1
				left += 1

		return semiprimes_count


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




