



"""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


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

lowercase  							=					'''=======
>>>>>>>
'''

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

lowercase  							=					[
    # (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 	UpperCAmelCase     (		A	:						Namespace       ):

		'''simple docstring'''


		return ConvertCommand(args.tfds_path     ,				args.datasets_directory       )






class 			lowercase__			(      A    ):
							'''simple docstring'''







							@staticmethod
							def        lowerCamelCase_   (  snake_case						)			->							str:
									_UpperCAmelCase							 =		parser.add_parser(
									    'convert'	,       help='Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'	,       )
									train_parser.add_argument(
									    '--tfds_path'	,       type=snake_case	,       required=snake_case	,       help='Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'	,       )
									train_parser.add_argument(
									    '--datasets_directory'	,       type=snake_case	,       required=snake_case	,       help='Path to the HuggingFace Datasets folder.'						)
									train_parser.set_defaults(func=snake_case						)






							def __init__(  self	,       snake_case	,       snake_case	,       *snake_case						)			->							Any:
									_UpperCAmelCase							 =		get_logger('datasets-cli/converting'						)

									_UpperCAmelCase							 =		tfds_path
									_UpperCAmelCase							 =		datasets_directory






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

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

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

									_UpperCAmelCase							 =		[]
									_UpperCAmelCase							 =		[]
									_UpperCAmelCase							 =		{}

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

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

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

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

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

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

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

											if needs_manual_update:
													with_manual_update.append(snake_case						)

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

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

from cmath import sqrt




def 	UpperCAmelCase     (		A	:						int     ,				A	:						int     ,				A	:						int       ):

		'''simple docstring'''


		if a == 0:
				raise ValueError('Coefficient \'a\' must not be zero.'       )
		_UpperCAmelCase							 =		b * b - 4 * a * c

		_UpperCAmelCase							 =		(-b + sqrt(A       )) / (2 * a)
		_UpperCAmelCase							 =		(-b - sqrt(A       )) / (2 * a)

		return (
		    root_a.real if not root_a.imag else root_a,
		    root_a.real if not root_a.imag else root_a,
		)




def 	UpperCAmelCase     (		):

		'''simple docstring'''


		_UpperCAmelCase ,					_UpperCAmelCase							 =		quadratic_roots(a=5     ,				b=6     ,				c=1       )
		print(f'The solutions are: {solutiona} and {solutiona}'       )


if __name__ == "__main__":
					main()


