

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

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


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

lowerCAmelCase_			      =      '''=======
>>>>>>>
'''

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

lowerCAmelCase_			      =      [
    # (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     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						return ConvertCommand(args.tfds_path    ,						args.datasets_directory			)





class       snake_case_  (						__A   ):







			'''simple docstring'''

			@staticmethod
			def 							snake_case__(	_UpperCamelCase					:							int				) ->Union[str, Any]:
									snake_case_  =      parser.add_parser(
									    '''convert'''				,  help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''				,  )
									train_parser.add_argument(
									    '''--tfds_path'''				,  type=__A				,  required=__A				,  help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''				,  )
									train_parser.add_argument(
									    '''--datasets_directory'''				,  type=__A				,  required=__A				,  help='''Path to the HuggingFace Datasets folder.'''				)
									train_parser.set_defaults(func=__A				)







			def __init__(	self					:							Union[str, Any]				,  _UpperCamelCase					:							Dict				,  _UpperCamelCase					:							Optional[int]				,  *_UpperCamelCase					:							Dict				) ->str:
									snake_case_  =      get_logger('''datasets-cli/converting'''				)

									snake_case_  =      tfds_path
									snake_case_  =      datasets_directory







			def 							snake_case__(	self					:							int				) ->str:
									if os.path.isdir(self._tfds_path				):
															snake_case_  =      os.path.abspath(self._tfds_path				)
									elif os.path.isfile(self._tfds_path				):
															snake_case_  =      os.path.dirname(self._tfds_path				)
									else:
															raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.'''				)

									snake_case_  =      os.path.abspath(self._datasets_directory				)

									self._logger.info(f'''Converting datasets from {abs_tfds_path} to {abs_datasets_path}'''				)

									snake_case_  =      []
									snake_case_  =      []
									snake_case_  =      {}

									if os.path.isdir(self._tfds_path				):
															snake_case_  =      os.listdir(__A				)
									else:
															snake_case_  =      [os.path.basename(self._tfds_path				)]

									for f_name in file_names:
															self._logger.info(f'''Looking at file {f_name}'''				)
															snake_case_  =      os.path.join(__A				,  __A				)
															snake_case_  =      os.path.join(__A				,  __A				)

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

															with open(__A				,  encoding='''utf-8'''				) as f:
																					snake_case_  =      f.readlines()

															snake_case_  =      []
															snake_case_  =      False
															snake_case_  =      False
															snake_case_  =      []
															for line in lines:
																					snake_case_  =      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:
																											snake_case_  =      '''import datasets\n'''
																					elif "import tensorflow" in out_line:
																											# order is important here
																											snake_case_  =      ''''''
																											continue
																					elif "from absl import logging" in out_line:
																											snake_case_  =      '''from datasets import logging\n'''
																					elif "getLogger" in out_line:
																											snake_case_  =      out_line.replace('''getLogger'''				,  '''get_logger'''				)
																					elif any(expression in out_line for expression in TO_HIGHLIGHT				):
																											snake_case_  =      True
																											snake_case_  =      list(filter(lambda _UpperCamelCase				: e in out_line				,  __A				)				)
																											out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(__A				) + '''\n'''				)
																											out_lines.append(__A				)
																											out_lines.append(__A				)
																											continue
																					else:
																											for pattern, replacement in TO_CONVERT:
																																	snake_case_  =      re.sub(__A				,  __A				,  __A				)

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

															if is_builder or "wmt" in f_name:
																					# We create a new directory for each dataset
																					snake_case_  =      f_name.replace('''.py'''				,  ''''''				)
																					snake_case_  =      os.path.join(__A				,  __A				)
																					snake_case_  =      os.path.join(__A				,  __A				)
																					os.makedirs(__A				,  exist_ok=__A				)
																					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(__A				)

															if needs_manual_update:
																					with_manual_update.append(__A				)

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

									for utils_file in utils_files:
															try:
																					snake_case_  =      os.path.basename(__A				)
																					snake_case_  =      imports_to_builder_map[f_name.replace('''.py'''				,  ''''''				)]
																					self._logger.info(f'''Moving {dest_folder} to {utils_file}'''				)
																					shutil.copy(__A				,  __A				)
															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\'.'''				)

from math import isqrt, loga
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int				)			->						list[int]:
       SCREAMING_SNAKE_CASE_							:				int		=[True] * max_number
       for i in range(2			,							isqrt(max_number - 1				) + 1				):
              if is_prime[i]:
                     for j in range(i**2			,							UpperCAmelCase_			,							UpperCAmelCase_				):
                            SCREAMING_SNAKE_CASE_							:				Dict		=False

       return [i for i in range(2			,							UpperCAmelCase_				) if is_prime[i]]
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int = 8_0_0_8_0_0			,							UpperCAmelCase_	:     int = 8_0_0_8_0_0				)			->						int:
       SCREAMING_SNAKE_CASE_							:				str		=degree * loga(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				List[Any]		=int(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				int		=calculate_prime_numbers(UpperCAmelCase_				)

       SCREAMING_SNAKE_CASE_							:				int		=0
       SCREAMING_SNAKE_CASE_							:				List[Any]		=0
       SCREAMING_SNAKE_CASE_							:				Any		=len(UpperCAmelCase_				) - 1
       while left < right:
              while (
                  prime_numbers[right] * loga(prime_numbers[left]				)
                  + prime_numbers[left] * loga(prime_numbers[right]				)
                  > upper_bound
              ):
                     right -= 1
              hybrid_integers_count += right - left
              left += 1

       return hybrid_integers_count


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