


import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


_snake_case             =     '''<<<<<<< This should probably be modified because it mentions: '''

_snake_case             =     '''=======
>>>>>>>
'''

_snake_case             =     [
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

_snake_case             =     [
    # (pattern, replacement)
    # Order is important here for some replacements
    (R'''tfds\.core''', R'''datasets'''),
    (R'''tf\.io\.gfile\.GFile''', R'''open'''),
    (R'''tf\.([\w\d]+)''', R'''datasets.Value(\'\1\')'''),
    (R'''tfds\.features\.Text\(\)''', R'''datasets.Value(\'string\')'''),
    (R'''tfds\.features\.Text\(''', R'''datasets.Value(\'string\'),'''),
    (R'''features\s*=\s*tfds.features.FeaturesDict\(''', R'''features=datasets.Features('''),
    (R'''tfds\.features\.FeaturesDict\(''', R'''dict('''),
    (R'''The TensorFlow Datasets Authors''', R'''The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'''),
    (R'''tfds\.''', R'''datasets.'''),
    (R'''dl_manager\.manual_dir''', R'''self.config.data_dir'''),
    (R'''self\.builder_config''', R'''self.config'''),
]






def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  return ConvertCommand(args.tfds_path      ,						args.datasets_directory	)







class 	UpperCAmelCase_					(					a__    ):

   '''simple docstring'''




   @staticmethod
   def _snake_case    (		__A ):






     """simple docstring"""





     lowerCamelCase :					Any    =				parser.add_parser(
         "convert"						,				help="Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."						,				)
     train_parser.add_argument(
         "--tfds_path"						,				type=lowerCAmelCase__						,				required=lowerCAmelCase__						,				help="Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."						,				)
     train_parser.add_argument(
         "--datasets_directory"						,				type=lowerCAmelCase__						,				required=lowerCAmelCase__						,				help="Path to the HuggingFace Datasets folder." )
     train_parser.set_defaults(func=lowerCAmelCase__ )






   def __init__(		self						,				__A						,				__A						,				*__A ):






     """simple docstring"""





     lowerCamelCase :					List[str]    =				get_logger("datasets-cli/converting" )

     lowerCamelCase :					Optional[int]    =				tfds_path
     lowerCamelCase :					str    =				datasets_directory






   def _snake_case    (		self ):






     """simple docstring"""





     if os.path.isdir(self._tfds_path ):
       lowerCamelCase :					int    =				os.path.abspath(self._tfds_path )
     elif os.path.isfile(self._tfds_path ):
       lowerCamelCase :					Optional[Any]    =				os.path.dirname(self._tfds_path )
     else:
       raise ValueError("--tfds_path is neither a directory nor a file. Please check path." )

     lowerCamelCase :					str    =				os.path.abspath(self._datasets_directory )

     self._logger.info(F"""Converting datasets from {abs_tfds_path} to {abs_datasets_path}""" )

     lowerCamelCase :					str    =				[]
     lowerCamelCase :					Union[str, Any]    =				[]
     lowerCamelCase :					str    =				{}

     if os.path.isdir(self._tfds_path ):
       lowerCamelCase :					Dict    =				os.listdir(lowerCAmelCase__ )
     else:
       lowerCamelCase :					Dict    =				[os.path.basename(self._tfds_path )]

     for f_name in file_names:
       self._logger.info(F"""Looking at file {f_name}""" )
       lowerCamelCase :					Any    =				os.path.join(lowerCAmelCase__						,				lowerCAmelCase__ )
       lowerCamelCase :					Dict    =				os.path.join(lowerCAmelCase__						,				lowerCAmelCase__ )

       if not os.path.isfile(lowerCAmelCase__ ) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
         self._logger.info("Skipping file" )
         continue

       with open(lowerCAmelCase__						,				encoding="utf-8" ) as f:
         lowerCamelCase :					Any    =				f.readlines()

       lowerCamelCase :					Tuple    =				[]
       lowerCamelCase :					Any    =				False
       lowerCamelCase :					Dict    =				False
       lowerCamelCase :					Dict    =				[]
       for line in lines:
         lowerCamelCase :					Tuple    =				line

         # Convert imports
         if "import tensorflow.compat.v2 as tf" in out_line:
           continue
         elif "@tfds.core" in out_line:
           continue
         elif "builder=self" in out_line:
           continue
         elif "import tensorflow_datasets.public_api as tfds" in out_line:
           lowerCamelCase :					Optional[int]    =				"import datasets\n"
         elif "import tensorflow" in out_line:
           # order is important here
           lowerCamelCase :					Optional[Any]    =				""
           continue
         elif "from absl import logging" in out_line:
           lowerCamelCase :					Any    =				"from datasets import logging\n"
         elif "getLogger" in out_line:
           lowerCamelCase :					int    =				out_line.replace("getLogger"						,				"get_logger" )
         elif any(expression in out_line for expression in TO_HIGHLIGHT ):
           lowerCamelCase :					Optional[Any]    =				True
           lowerCamelCase :					Optional[Any]    =				list(filter(lambda __A : e in out_line						,				lowerCAmelCase__ ) )
           out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(lowerCAmelCase__ ) + "\n" )
           out_lines.append(lowerCAmelCase__ )
           out_lines.append(lowerCAmelCase__ )
           continue
         else:
           for pattern, replacement in TO_CONVERT:
             lowerCamelCase :					int    =				re.sub(lowerCAmelCase__						,				lowerCAmelCase__						,				lowerCAmelCase__ )

                # Take care of saving utilities (to later move them together with main script)
         if "tensorflow_datasets" in out_line:
           lowerCamelCase :					int    =				re.match(R"from\stensorflow_datasets.*import\s([^\.\r\n]+)"						,				lowerCAmelCase__ )
           tfds_imports.extend(imp.strip() for imp in match.group(1 ).split("," ) )
           lowerCamelCase :					List[str]    =				"from . import " + match.group(1 )

         # Check we have not forget anything
         if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
           raise ValueError(F"""Error converting {out_line.strip()}""" )

         if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
           lowerCamelCase :					str    =				True
         out_lines.append(lowerCAmelCase__ )

       if is_builder or "wmt" in f_name:
         # We create a new directory for each dataset
         lowerCamelCase :					Tuple    =				f_name.replace(".py"						,				"" )
         lowerCamelCase :					Optional[Any]    =				os.path.join(lowerCAmelCase__						,				lowerCAmelCase__ )
         lowerCamelCase :					Dict    =				os.path.join(lowerCAmelCase__						,				lowerCAmelCase__ )
         os.makedirs(lowerCAmelCase__						,				exist_ok=lowerCAmelCase__ )
         self._logger.info(F"""Adding directory {output_dir}""" )
         imports_to_builder_map.update({imp: output_dir for imp in tfds_imports} )
       else:
         # Utilities will be moved at the end
         utils_files.append(lowerCAmelCase__ )

       if needs_manual_update:
         with_manual_update.append(lowerCAmelCase__ )

       with open(lowerCAmelCase__						,				"w"						,				encoding="utf-8" ) as f:
         f.writelines(lowerCAmelCase__ )
       self._logger.info(F"""Converted in {output_file}""" )

     for utils_file in utils_files:
       try:
         lowerCamelCase :					int    =				os.path.basename(lowerCAmelCase__ )
         lowerCamelCase :					int    =				imports_to_builder_map[f_name.replace(".py"						,				"" )]
         self._logger.info(F"""Moving {dest_folder} to {utils_file}""" )
         shutil.copy(lowerCAmelCase__						,				lowerCAmelCase__ )
       except KeyError:
         self._logger.error(F"""Cannot find destination folder for {utils_file}. Please copy manually.""" )

     if with_manual_update:
       for file_path in with_manual_update:
         self._logger.warning(
             F"""You need to manually update file {file_path} to remove configurations using 'TextEncoderConfig'.""" )










"""simple docstring"""




from decimal import Decimal, getcontext
from math import ceil, factorial






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int					) ->str:






	'''simple docstring'''






	if not isinstance(_lowercase    ,       _lowercase					):
		raise TypeError("Undefined for non-integers"					)
	elif precision < 1:
		raise ValueError("Undefined for non-natural numbers"					)

	a      :		Tuple	=				precision
	a      :		str	=				ceil(precision / 14					)
	a      :		List[Any]	=				42_6880 * Decimal(1_0005					).sqrt()
	a      :		Union[str, Any]	=				1
	a      :		Dict	=				1359_1409
	a      :		Optional[int]	=				Decimal(_lowercase					)
	for k in range(1    ,       _lowercase					):
		a      :		int	=				factorial(6 * k					) // (factorial(3 * k					) * factorial(_lowercase					) ** 3)
		linear_term += 5_4514_0134
		exponential_term *= -26_2537_4126_4076_8000
		partial_sum += Decimal(multinomial_term * linear_term					) / exponential_term
	return str(constant_term / partial_sum					)[:-1]


if __name__ == "__main__":
		a						: Optional[Any]     	=			50
		print(F'''The first {n} digits of pi is: {pi(n)}''')


