




'''simple docstring'''


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							(   lowercase							: str					,  lowercase							: Any					,  lowercase							: int    )			->Union[str, Any]:
   """simple docstring"""




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

   lowercase__       							=							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 transformers module imported is the one in the repo.
_lowerCAmelCase  		=      direct_transformers_import(TRANSFORMERS_PATH)






def 		_lowerCAmelCase							(   lowercase							: str    )			->List[str]:
   """simple docstring"""




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






def 		_lowerCAmelCase							(   lowercase							: Tuple					,  lowercase							: Optional[int]    )			->int:
   """simple docstring"""




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






def 		_lowerCAmelCase							(   )			->Optional[Any]:
   """simple docstring"""




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

   # Let's lookup through all transformers object (once).
   for attr_name in dir(lowerCamelCase_    ):
      lowercase__       							=							None
      if attr_name.endswith('''Tokenizer'''    ):
         lowercase__       							=							slow_tokenizers
         lowercase__       							=							attr_name[:-9]
      elif attr_name.endswith('''TokenizerFast'''    ):
         lowercase__       							=							fast_tokenizers
         lowercase__       							=							attr_name[:-1_3]
      elif _re_tf_models.match(lowerCamelCase_    ) is not None:
         lowercase__       							=							tf_models
         lowercase__       							=							_re_tf_models.match(lowerCamelCase_    ).groups()[0]
      elif _re_flax_models.match(lowerCamelCase_    ) is not None:
         lowercase__       							=							flax_models
         lowercase__       							=							_re_flax_models.match(lowerCamelCase_    ).groups()[0]
      elif _re_pt_models.match(lowerCamelCase_    ) is not None:
         lowercase__       							=							pt_models
         lowercase__       							=							_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():
               lowercase__       							=							True
               break
            # Try again after removing the last word in the name
            lowercase__       							=							"".join(camel_case_split(lowerCamelCase_    )[:-1]    )

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

   # Build the table per se
   lowercase__       							=							"|" + "|".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"

   lowercase__       							=							{True: "✅", False: "❌"}
   for name in model_names:
      lowercase__       							=							model_name_to_prefix[name]
      lowercase__       							=							[
          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							(   lowercase							: str=False    )			->Union[str, Any]:
   """simple docstring"""




   lowercase__       							=							_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-->'''					,  )
   lowercase__       							=							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__":
  _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)









"""simple docstring"""







import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


A		=						importlib.util.find_spec('s3fs') is not None

if _has_safs:
			from .safilesystem import SaFileSystem  # noqa: F401

A		=						[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
			if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
						warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
			fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str ):
						"""simple docstring"""






						if "://" in dataset_path:
												snake_case   :			List[str]						    = dataset_path.split("://" )[1]
						return dataset_path

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							fsspec.AbstractFileSystem ):
						"""simple docstring"""






						if fs is not None and fs.protocol != "file":
												return True
						else:
												return False

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							fsspec.AbstractFileSystem     ,		lowerCamelCase_:							str     ,		lowerCamelCase_:							str ):
						"""simple docstring"""






						snake_case   :			int						    = not is_remote_filesystem(lowerCamelCase_ )
						if is_local:
												# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
												shutil.move(fs._strip_protocol(lowerCamelCase_ )     ,		fs._strip_protocol(lowerCamelCase_ ) )
						else:
												fs.mv(lowerCamelCase_     ,		lowerCamelCase_     ,		recursive=lowerCamelCase_ )

def  __SCREAMING_SNAKE_CASE		(			):
						"""simple docstring"""






						if hasattr(fsspec.asyn     ,		"reset_lock" ):
												# for future fsspec>2022.05.0
												fsspec.asyn.reset_lock()
						else:
												snake_case   :			Union[str, Any]						    = None
												snake_case   :			Optional[int]						    = None
												snake_case   :			List[str]						    = threading.Lock()



