




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
UpperCAmelCase_		:					List[str]          =  "src/transformers"
UpperCAmelCase_		:					List[str]          =  "docs/source/en"
UpperCAmelCase_		:					str          =  "."




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

				__magic_name__						:						Union[str, Any]										=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 |
UpperCAmelCase_		:					Any          =  "Model|Encoder|Decoder|ForConditionalGeneration"
# Regexes that match TF/Flax/PT model names.
UpperCAmelCase_		:					Any          =  re.compile(R"TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)")
UpperCAmelCase_		:					Tuple          =  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.
UpperCAmelCase_		:					Optional[int]          =  re.compile(R"(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)")


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




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						int										=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 ):
				__magic_name__						:						Any										=2 if text == """✅""" or text == """❌""" else len(lowerCamelCase )
				__magic_name__						:						Optional[Any]										=(width - text_length) // 2
				__magic_name__						:						str										=width - text_length - left_indent
				return " " * left_indent + text + " " * right_indent




def 		lowerCAmelCase_ (						):
				__magic_name__						:						Union[str, Any]										=transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
				__magic_name__						:						Optional[int]										={
				    name: config_maping_names[code]
				    for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
				    if code in config_maping_names
				}
				__magic_name__						:						Union[str, Any]										={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.
				__magic_name__						:						Any										=collections.defaultdict(lowerCamelCase )
				__magic_name__						:						Union[str, Any]										=collections.defaultdict(lowerCamelCase )
				__magic_name__						:						List[Any]										=collections.defaultdict(lowerCamelCase )
				__magic_name__						:						int										=collections.defaultdict(lowerCamelCase )
				__magic_name__						:						Dict										=collections.defaultdict(lowerCamelCase )

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

    # Let's build that table!
				__magic_name__						:						List[str]										=list(model_name_to_config.keys() )
				model_names.sort(key=str.lower )
				__magic_name__						:						Union[str, Any]										=["""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).
				__magic_name__						:						Optional[int]										=[len(lowerCamelCase ) + 2 for c in columns]
				__magic_name__						:						int										=max([len(lowerCamelCase ) for name in model_names] ) + 2

				# Build the table per se
				__magic_name__						:						List[Any]										="""|""" + """|""".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"

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




def 		lowerCAmelCase_ (						lowerCamelCase=False ):
				__magic_name__					,			__magic_name__					,			__magic_name__					,			__magic_name__						:						List[Any]										=_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-->"""						,  )
				__magic_name__						:						Any										=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__":
							UpperCAmelCase_		:					List[str]          =  argparse.ArgumentParser()
							parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
							UpperCAmelCase_		:					Dict          =  parser.parse_args()

							check_model_table(args.fix_and_overwrite)










UpperCAmelCase_		:					int          =  range(2, 20 + 1)
UpperCAmelCase_		:					Tuple          =  [10**k for k in range(ks[-1] + 1)]
UpperCAmelCase_		:					dict[int, dict[int, list[list[int]]]]          =  {}




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
				__magic_name__						:						Union[str, Any]										=sum(a_i[j] for j in range(lowerCamelCase						,  len(lowerCamelCase ) ) )
				__magic_name__						:						Any										=sum(a_i[j] * base[j] for j in range(min(len(lowerCamelCase )						,  lowerCamelCase ) ) )

				__magic_name__					,			__magic_name__						:						Tuple										=0, 0
				__magic_name__						:						Optional[Any]										=n - i

				__magic_name__						:						Union[str, Any]										=memo.get(lowerCamelCase )

				if sub_memo is not None:
								__magic_name__						:						int										=sub_memo.get(lowerCamelCase )

								if jumps is not None and len(lowerCamelCase ) > 0:
												# find and make the largest jump without going over
												__magic_name__						:						Dict										=-1
												for _k in range(len(lowerCamelCase ) - 1						,  -1						,  -1 ):
																if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
																				__magic_name__						:						Optional[Any]										=_k
																				break

												if max_jump >= 0:
																__magic_name__					,			__magic_name__					,			__magic_name__						:						Optional[int]										=jumps[max_jump]
																# since the difference between jumps is cached, add c
																__magic_name__						:						Tuple										=diff + c
																for j in range(min(lowerCamelCase						,  len(lowerCamelCase ) ) ):
																				__magic_name__					,			__magic_name__						:						Tuple										=divmod(lowerCamelCase						,  10 )
																if new_c > 0:
																				add(lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase )

								else:
												__magic_name__						:						str										=[]
				else:
								__magic_name__						:						List[str]										={c: []}
								__magic_name__						:						List[str]										=sub_memo

				if dn >= max_dn or c + diff >= base[k]:
								return diff, dn

				if k > ks[0]:
								while True:
												# keep doing smaller jumps
												__magic_name__					,			__magic_name__						:						Union[str, Any]										=next_term(lowerCamelCase						,  k - 1						,  i + dn						,  lowerCamelCase )
												diff += _diff
												dn += terms_jumped

												if dn >= max_dn or c + diff >= base[k]:
																break
				else:
								# would be too small a jump, just compute sequential terms instead
								__magic_name__					,			__magic_name__						:						Optional[int]										=compute(lowerCamelCase						,  lowerCamelCase						,  i + dn						,  lowerCamelCase )
								diff += _diff
								dn += terms_jumped

				__magic_name__						:						Tuple										=sub_memo[c]

				# keep jumps sorted by # of terms skipped
				__magic_name__						:						List[Any]										=0
				while j < len(lowerCamelCase ):
								if jumps[j][1] > dn:
												break
								j += 1

				# cache the jump for this value digitsum(b) and c
				sub_memo[c].insert(lowerCamelCase						,  (diff, dn, k) )
				return (diff, dn)




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
				if i >= n:
								return 0, i
				if k > len(lowerCamelCase ):
								a_i.extend([0 for _ in range(k - len(lowerCamelCase ) )] )

				# note: a_i -> b * 10^k + c
				# ds_b -> digitsum(b)
				# ds_c -> digitsum(c)
				__magic_name__						:						Tuple										=i
				__magic_name__					,			__magic_name__					,			__magic_name__						:						Tuple										=0, 0, 0
				for j in range(len(lowerCamelCase ) ):
								if j >= k:
												ds_b += a_i[j]
								else:
												ds_c += a_i[j]

				while i < n:
								i += 1
								__magic_name__						:						Optional[Any]										=ds_c + ds_b
								diff += addend
								__magic_name__						:						str										=0
								for j in range(lowerCamelCase ):
												__magic_name__						:						int										=a_i[j] + addend
												__magic_name__					,			__magic_name__						:						Any										=divmod(lowerCamelCase						,  10 )

												ds_c += a_i[j]

								if addend > 0:
												break

				if addend > 0:
								add(lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase )
				return diff, i - start_i




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
				for j in range(lowerCamelCase						,  len(lowerCamelCase ) ):
								__magic_name__						:						Tuple										=digits[j] + addend
								if s >= 10:
												__magic_name__					,			__magic_name__						:						int										=divmod(lowerCamelCase						,  10 )
												__magic_name__						:						int										=addend // 10 + quotient
								else:
												__magic_name__						:						Dict										=s
												__magic_name__						:						Any										=addend // 10

								if addend == 0:
												break

				while addend > 0:
								__magic_name__					,			__magic_name__						:						Union[str, Any]										=divmod(lowerCamelCase						,  10 )
								digits.append(lowerCamelCase )




def 		lowerCAmelCase_ (						lowerCamelCase = 10**15 ):
				__magic_name__						:						List[str]										=[1]
				__magic_name__						:						str										=1
				__magic_name__						:						str										=0
				while True:
								__magic_name__					,			__magic_name__						:						List[str]										=next_term(lowerCamelCase						,  20						,  i + dn						,  lowerCamelCase )
								dn += terms_jumped
								if dn == n - i:
												break

				__magic_name__						:						int										=0
				for j in range(len(lowerCamelCase ) ):
								a_n += digits[j] * 10**j
				return a_n


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




