

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

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


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

__lowercase     : Tuple       =						'''=======
>>>>>>>
'''

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

__lowercase     : List[Any]       =						[
    # (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					(	__A :					Namespace		)				->			int:





    '''simple docstring'''




    return ConvertCommand(args.tfds_path ,    args.datasets_directory		)



class 						_A     (				snake_case				):





  '''simple docstring'''



  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      snake_case							:		List[str]        =		parser.add_parser(
          """convert"""   ,help="""Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."""   ,)
      train_parser.add_argument(
          """--tfds_path"""   ,type=SCREAMING_SNAKE_CASE_   ,required=SCREAMING_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=SCREAMING_SNAKE_CASE_   ,required=SCREAMING_SNAKE_CASE_   ,help="""Path to the HuggingFace Datasets folder."""    )
      train_parser.set_defaults(func=SCREAMING_SNAKE_CASE_    )





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

      '''simple docstring'''
      snake_case							:		int        =		get_logger("""datasets-cli/converting"""    )

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





  def    snake_case_       (  self    ):

      '''simple docstring'''
      if os.path.isdir(self._tfds_path    ):
          snake_case							:		Tuple        =		os.path.abspath(self._tfds_path    )
      elif os.path.isfile(self._tfds_path    ):
          snake_case							:		Dict        =		os.path.dirname(self._tfds_path    )
      else:
          raise ValueError("""--tfds_path is neither a directory nor a file. Please check path."""    )

      snake_case							:		Tuple        =		os.path.abspath(self._datasets_directory    )

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

      snake_case							:		Union[str, Any]        =		[]
      snake_case							:		Optional[int]        =		[]
      snake_case							:		List[str]        =		{}

      if os.path.isdir(self._tfds_path    ):
          snake_case							:		int        =		os.listdir(SCREAMING_SNAKE_CASE_    )
      else:
          snake_case							:		List[Any]        =		[os.path.basename(self._tfds_path    )]

      for f_name in file_names:
          self._logger.info(F"""Looking at file {f_name}"""    )
          snake_case							:		List[str]        =		os.path.join(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
          snake_case							:		Optional[int]        =		os.path.join(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )

          if not os.path.isfile(SCREAMING_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(SCREAMING_SNAKE_CASE_   ,encoding="""utf-8"""    ) as f:
              snake_case							:		str        =		f.readlines()

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

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

          if is_builder or "wmt" in f_name:
              # We create a new directory for each dataset
              snake_case							:		List[Any]        =		f_name.replace(""".py"""   ,""""""    )
              snake_case							:		Optional[int]        =		os.path.join(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
              snake_case							:		str        =		os.path.join(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
              os.makedirs(SCREAMING_SNAKE_CASE_   ,exist_ok=SCREAMING_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(SCREAMING_SNAKE_CASE_    )

          if needs_manual_update:
              with_manual_update.append(SCREAMING_SNAKE_CASE_    )

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

      for utils_file in utils_files:
          try:
              snake_case							:		int        =		os.path.basename(SCREAMING_SNAKE_CASE_    )
              snake_case							:		List[Any]        =		imports_to_builder_map[f_name.replace(""".py"""   ,""""""    )]
              self._logger.info(F"""Moving {dest_folder} to {utils_file}"""    )
              shutil.copy(SCREAMING_SNAKE_CASE_   ,SCREAMING_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'."""    )









import argparse
import hashlib  # hashlib is only used inside the Test class
import struct


class    SCREAMING_SNAKE_CASE_				:



	"""simple docstring"""


	def __init__(					self		:						Tuple					,     lowerCAmelCase		:						Tuple	)	->       Dict:







						"""simple docstring"""







						__UpperCamelCase					:	Any             =      data
						__UpperCamelCase					:	List[str]             =      [0x6_7_4_5_2_3_0_1, 0xe_f_c_d_a_b_8_9, 0x9_8_b_a_d_c_f_e, 0x1_0_3_2_5_4_7_6, 0xc_3_d_2_e_1_f_0]






	@staticmethod
	def 					lowerCamelCase__     (					lowerCAmelCase		:						str					,     lowerCAmelCase		:						Union[str, Any]	)	->       str:







						"""simple docstring"""







						return ((n << b) | (n >> (32 - b))) & 0xf_f_f_f_f_f_f_f






	def 					lowerCamelCase__     (					self		:						Optional[int]	)	->       Dict:







						"""simple docstring"""







						__UpperCamelCase					:	int             =      b"""\x80""" + b"""\x00""" * (63 - (len(self.data	) + 8) % 64)
						__UpperCamelCase					:	int             =      self.data + padding + struct.pack(""">Q"""					,     8 * len(self.data	)	)
						return padded_data






	def 					lowerCamelCase__     (					self		:						str	)	->       str:







						"""simple docstring"""







						return [
						    self.padded_data[i : i + 64] for i in range(0					,     len(self.padded_data	)					,     64	)
						]






	def 					lowerCamelCase__     (					self		:						Union[str, Any]					,     lowerCAmelCase		:						Tuple	)	->       List[Any]:







						"""simple docstring"""







						__UpperCamelCase					:	Tuple             =      list(struct.unpack(""">16L"""					,     lowerCAmelCase	)	) + [0] * 64
						for i in range(16					,     80	):
											__UpperCamelCase					:	Dict             =      self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])					,     1	)
						return w






	def 					lowerCamelCase__     (					self		:						Union[str, Any]	)	->       Dict:







						"""simple docstring"""







						__UpperCamelCase					:	Dict             =      self.padding()
						__UpperCamelCase					:	int             =      self.split_blocks()
						for block in self.blocks:
											__UpperCamelCase					:	Union[str, Any]             =      self.expand_block(lowerCAmelCase	)
											__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase					:	str             =      self.h
											for i in range(0					,     80	):
																if 0 <= i < 20:
																					__UpperCamelCase					:	List[Any]             =      (b & c) | ((~b) & d)
																					__UpperCamelCase					:	str             =      0x5_a_8_2_7_9_9_9
																elif 20 <= i < 40:
																					__UpperCamelCase					:	Tuple             =      b ^ c ^ d
																					__UpperCamelCase					:	List[Any]             =      0x6_e_d_9_e_b_a_1
																elif 40 <= i < 60:
																					__UpperCamelCase					:	Tuple             =      (b & c) | (b & d) | (c & d)
																					__UpperCamelCase					:	List[str]             =      0x8_f_1_b_b_c_d_c
																elif 60 <= i < 80:
																					__UpperCamelCase					:	Optional[int]             =      b ^ c ^ d
																					__UpperCamelCase					:	Tuple             =      0xc_a_6_2_c_1_d_6
																__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase      ,			__UpperCamelCase					:	Tuple             =      (
																    self.rotate(lowerCAmelCase					,     5	) + f + e + k + expanded_block[i] & 0xf_f_f_f_f_f_f_f,
																    a,
																    self.rotate(lowerCAmelCase					,     30	),
																    c,
																    d,
																)
											__UpperCamelCase					:	List[Any]             =      (
											    self.h[0] + a & 0xf_f_f_f_f_f_f_f,
											    self.h[1] + b & 0xf_f_f_f_f_f_f_f,
											    self.h[2] + c & 0xf_f_f_f_f_f_f_f,
											    self.h[3] + d & 0xf_f_f_f_f_f_f_f,
											    self.h[4] + e & 0xf_f_f_f_f_f_f_f,
											)
						return ("{:08x}" * 5).format(*self.h	)






def 				A__ ()     ->						int:
					__UpperCamelCase					:	Optional[int]             =      b"""Test String"""
					assert SHAaHash(snake_case				).final_hash() == hashlib.shaa(snake_case				).hexdigest()  # noqa: S324





def 				A__ ()     ->						Tuple:
					__UpperCamelCase					:	Optional[Any]             =      argparse.ArgumentParser(description="""Process some strings or files"""				)
					parser.add_argument(
					    """--string"""		,	dest="""input_string"""		,	default="""Hello World!! Welcome to Cryptography"""		,	help="""Hash the string"""		,	)
					parser.add_argument("""--file"""		,	dest="""input_file"""		,	help="""Hash contents of a file"""				)
					__UpperCamelCase					:	List[Any]             =      parser.parse_args()
					__UpperCamelCase					:	List[str]             =      args.input_string
					# In any case hash input should be a bytestring
					if args.input_file:
										with open(args.input_file		,	"""rb"""				) as f:
															__UpperCamelCase					:	Tuple             =      f.read()
					else:
										__UpperCamelCase					:	Any             =      bytes(snake_case		,	"""utf-8"""				)
					print(SHAaHash(snake_case				).final_hash()				)


if __name__ == "__main__":
	main()
	import doctest

	doctest.testmod()






