



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 					__lowerCAmelCase		(  __lowerCamelCase	:    Namespace	)  ->						Optional[Any]:
					return ConvertCommand(args.tfds_path				,   args.datasets_directory	)






class 						__a (     SCREAMING_SNAKE_CASE				):



	@staticmethod
	def 		UpperCamelCase							(						snake_case_							:    ArgumentParser)->							Union[str, Any]:
						__lowerCAmelCase	   =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							:    List[Any]				,	snake_case_							:    str				,	snake_case_							:    str				,	*snake_case_							:    Dict)->							Optional[int]:
						__lowerCAmelCase	   =get_logger("""datasets-cli/converting""")

						__lowerCAmelCase	   =tfds_path
						__lowerCAmelCase	   =datasets_directory



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

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

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

						__lowerCAmelCase	   =[]
						__lowerCAmelCase	   =[]
						__lowerCAmelCase	   ={}

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

						for f_name in file_names:
											self._logger.info(F"""Looking at file {f_name}""")
											__lowerCAmelCase	   =os.path.join(snake_case_				,	snake_case_)
											__lowerCAmelCase	   =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:
																__lowerCAmelCase	   =f.readlines()

											__lowerCAmelCase	   =[]
											__lowerCAmelCase	   =False
											__lowerCAmelCase	   =False
											__lowerCAmelCase	   =[]
											for line in lines:
																__lowerCAmelCase	   =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	   ="""import datasets\n"""
																elif "import tensorflow" in out_line:
																					# order is important here
																					__lowerCAmelCase	   =""""""
																					continue
																elif "from absl import logging" in out_line:
																					__lowerCAmelCase	   ="""from datasets import logging\n"""
																elif "getLogger" in out_line:
																					__lowerCAmelCase	   =out_line.replace("""getLogger"""				,	"""get_logger""")
																elif any(expression in out_line for expression in TO_HIGHLIGHT):
																					__lowerCAmelCase	   =True
																					__lowerCAmelCase	   =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:
																										__lowerCAmelCase	   =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:
																					__lowerCAmelCase	   =re.match(R"""from\stensorflow_datasets.*import\s([^\.\r\n]+)"""				,	snake_case_)
																					tfds_imports.extend(imp.strip() for imp in match.group(1).split(""","""))
																					__lowerCAmelCase	   ="""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	   =True
																out_lines.append(snake_case_)

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









def 					__lowerCAmelCase		(  __lowerCamelCase	:    List[Any]	)  ->						Any:
					__lowerCAmelCase	   =[]
					__lowerCAmelCase	   =set({"""(""", """[""", """{"""}	)
					__lowerCAmelCase	   =set({""")""", """]""", """}"""}	)
					__lowerCAmelCase	   ={"""{""": """}""", """[""": """]""", """(""": """)"""}

					for i in range(len(__lowerCamelCase	)	):
										if s[i] in open_brackets:
															stack.append(s[i]	)

										elif s[i] in closed_brackets and (
										    len(__lowerCamelCase	) == 0 or (len(__lowerCamelCase	) > 0 and open_to_closed[stack.pop()] != s[i])
										):
															return False

					return len(__lowerCamelCase	) == 0






def 					__lowerCAmelCase		(  )  ->						List[str]:
					__lowerCAmelCase	   =input("""Enter sequence of brackets: """	)
					if is_balanced(__lowerCamelCase	):
										print(__lowerCamelCase				,   """is balanced"""	)
					else:
										print(__lowerCamelCase				,   """is not balanced"""	)


if __name__ == "__main__":
				main()




