





'''simple docstring'''


import argparse
import collections
import importlib.util
import os
import re


# 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      :  Dict      							='''src/diffusers'''
lowerCAmelCase      :  List[Any]      							='''docs/source/en'''
lowerCAmelCase      :  Tuple      							='''.'''
def 							UpperCAmelCase_						(		__lowerCamelCase      :      str			,__lowerCamelCase      :      Dict			,__lowerCamelCase      :      str				):
   with open(__lowerCamelCase			,"r"			,encoding="utf-8"			,newline="\n"				) as f:
      lowercase_    :int					    =				f.readlines()
   # Find the start prompt.
   lowercase_    :List[str]					    =				0
   while not lines[start_index].startswith(__lowerCamelCase				):
      start_index += 1
   start_index += 1

   lowercase_    :Dict					    =				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      :  Optional[int]      							='''Model|Encoder|Decoder|ForConditionalGeneration'''
# Regexes that match TF/Flax/PT model names.
lowerCAmelCase      :  Optional[int]      							=re.compile(r'''TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')
lowerCAmelCase      :  Optional[int]      							=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      :  List[Any]      							=re.compile(r'''(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')


# This is to make sure the diffusers module imported is the one in the repo.
lowerCAmelCase      :  Any      							=importlib.util.spec_from_file_location(
    '''diffusers''',
    os.path.join(TRANSFORMERS_PATH, '''__init__.py'''),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
lowerCAmelCase      :  List[str]      							=spec.loader.load_module()
def 							UpperCAmelCase_						(		__lowerCamelCase      :      Optional[Any]				):
   lowercase_    :List[str]					    =				re.finditer(".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"			,__lowerCamelCase				)
   return [m.group(0				) for m in matches]
def 							UpperCAmelCase_						(		__lowerCamelCase      :      Union[str, Any]			,__lowerCamelCase      :      str				):
   lowercase_    :List[str]					    =				2 if text == "✅" or text == "❌" else len(__lowerCamelCase				)
   lowercase_    :Optional[Any]					    =				(width - text_length) // 2
   lowercase_    :Dict					    =				width - text_length - left_indent
   return " " * left_indent + text + " " * right_indent
def 							UpperCAmelCase_						(		):
   lowercase_    :Any					    =				diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
   lowercase_    :List[str]					    =				{
       name: config_mapping_names[code]
       for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
       if code in config_mapping_names
   }
   lowercase_    :Dict					    =				{name: config.replace("ConfigMixin"			,""				) 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_    :Any					    =				collections.defaultdict(__lowerCamelCase				)
   lowercase_    :str					    =				collections.defaultdict(__lowerCamelCase				)
   lowercase_    :Any					    =				collections.defaultdict(__lowerCamelCase				)
   lowercase_    :List[Any]					    =				collections.defaultdict(__lowerCamelCase				)
   lowercase_    :Tuple					    =				collections.defaultdict(__lowerCamelCase				)

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

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

   # Build the table per se
   lowercase_    :Optional[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"

   lowercase_    :int					    =				{True: "✅", False: "❌"}
   for name in model_names:
      lowercase_    :Tuple					    =				model_name_to_prefix[name]
      lowercase_    :List[str]					    =				[
          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 							UpperCAmelCase_						(		__lowerCamelCase      :      Union[str, Any]=False				):
   lowercase_    :Optional[Any]					    =				_find_text_in_file(
       filename=os.path.join(__lowerCamelCase			,"index.mdx"				)			,start_prompt="<!--This table is updated automatically from the auto modules"			,end_prompt="<!-- End table-->"			,)
   lowercase_    :Optional[Any]					    =				get_model_table_from_auto_modules()

   if current_table != new_table:
      if overwrite:
         with open(os.path.join(__lowerCamelCase			,"index.mdx"				)			,"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.mdx` has not been updated. Run `make fix-copies` to fix this."				)


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

     check_model_table(args.fix_and_overwrite)









'''simple docstring'''


import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def 							UpperCAmelCase_						(		__lowerCamelCase      :      Optional[int]				):
   return EnvironmentCommand()


class    a_     (       _lowerCAmelCase							):





     @staticmethod
     def 							lowercase__   (				lowercase	:      ArgumentParser		):





        """simple docstring"""




        lowercase_    :Optional[int]					    =				parser.add_parser("env"			,   help="Print relevant system environment info."		)
        download_parser.set_defaults(func=lowercase		)





     def 							lowercase__   (				self	:      List[str]		):





        """simple docstring"""




        lowercase_    :Tuple					    =				{
            "`datasets` version": version,
            "Platform": platform.platform(),
            "Python version": platform.python_version(),
            "Huggingface_hub version": huggingface_hub.__version__,
            "PyArrow version": pyarrow.__version__,
            "Pandas version": pandas.__version__,
        }

        print("\nCopy-and-paste the text below in your GitHub issue.\n"		)
        print(self.format_dict(lowercase		)		)

        return info







     @staticmethod
     def 							lowercase__   (				lowercase	:      Dict		):





        """simple docstring"""




        return "\n".join([F'- {prop}: {val}' for prop, val in d.items()]		) + "\n"


