



'''simple docstring'''
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_					:      Union[str, Any]    			=    '<<<<<<< This should probably be modified because it mentions: '

snake_case_					:      List[str]    			=    '=======\n>>>>>>>\n'

snake_case_					:      Optional[Any]    			=    [
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

snake_case_					:      List[str]    			=    [
    # (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 A__       (	UpperCAmelCase_				):
						return ConvertCommand(args.tfds_path    ,    args.datasets_directory				)






class 				lowercase__      (				lowercase  ):





	@staticmethod
	def       UpperCamelCase_    (					lowerCamelCase__   :							ArgumentParser					):







							'''simple docstring'''
							_UpperCamelCase   :						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   :							Optional[Any]					,lowerCamelCase__   :							str					,lowerCamelCase__   :							str					,*lowerCamelCase__   :							Dict					):







							'''simple docstring'''
							_UpperCamelCase   :						Tuple												=  get_logger('datasets-cli/converting'					)

							_UpperCamelCase   :						List[str]												=  tfds_path
							_UpperCamelCase   :						Any												=  datasets_directory





	def       UpperCamelCase_    (					self   :							Union[str, Any]					):







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

							_UpperCamelCase   :						Optional[int]												=  os.path.abspath(self._datasets_directory					)

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

							_UpperCamelCase   :						List[Any]												=  []
							_UpperCamelCase   :						List[str]												=  []
							_UpperCamelCase   :						Union[str, Any]												=  {}

							if os.path.isdir(self._tfds_path					):
													_UpperCamelCase   :						int												=  os.listdir(lowerCamelCase__					)
							else:
													_UpperCamelCase   :						Optional[Any]												=  [os.path.basename(self._tfds_path					)]

							for f_name in file_names:
													self._logger.info(F'Looking at file {f_name}'					)
													_UpperCamelCase   :						Optional[Any]												=  os.path.join(lowerCamelCase__					,lowerCamelCase__					)
													_UpperCamelCase   :						Optional[int]												=  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:
																			_UpperCamelCase   :						List[Any]												=  f.readlines()

													_UpperCamelCase   :						str												=  []
													_UpperCamelCase   :						Optional[Any]												=  False
													_UpperCamelCase   :						List[Any]												=  False
													_UpperCamelCase   :						Optional[int]												=  []
													for line in lines:
																			_UpperCamelCase   :						Dict												=  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:
																									_UpperCamelCase   :						int												=  'import datasets\n'
																			elif "import tensorflow" in out_line:
																									# order is important here
																									_UpperCamelCase   :						Optional[int]												=  ''
																									continue
																			elif "from absl import logging" in out_line:
																									_UpperCamelCase   :						Tuple												=  'from datasets import logging\n'
																			elif "getLogger" in out_line:
																									_UpperCamelCase   :						Dict												=  out_line.replace('getLogger'					,'get_logger'					)
																			elif any(expression in out_line for expression in TO_HIGHLIGHT					):
																									_UpperCamelCase   :						Any												=  True
																									_UpperCamelCase   :						Tuple												=  list(filter(lambda lowerCamelCase__					: 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:
																															_UpperCamelCase   :						Any												=  re.sub(lowerCamelCase__					,lowerCamelCase__					,lowerCamelCase__					)

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

													if is_builder or "wmt" in f_name:
																			# We create a new directory for each dataset
																			_UpperCamelCase   :						List[Any]												=  f_name.replace('.py'					,''					)
																			_UpperCamelCase   :						List[Any]												=  os.path.join(lowerCamelCase__					,lowerCamelCase__					)
																			_UpperCamelCase   :						Any												=  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:
																			_UpperCamelCase   :						List[Any]												=  os.path.basename(lowerCamelCase__					)
																			_UpperCamelCase   :						List[str]												=  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'''
def A__       (	UpperCAmelCase_ = 1_0_0_0				):
						_UpperCamelCase   :						List[str]												=  3
						_UpperCamelCase   :						Any												=  0
						while a < n:
												if a % 3 == 0 or a % 5 == 0:
																		result += a
												elif a % 1_5 == 0:
																		result -= a
												a += 1
						return result


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


