

"""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


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

lowerCAmelCase_	:    str            =      '''=======
>>>>>>>
'''

lowerCAmelCase_	:    Union[str, Any]            =      [
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

lowerCAmelCase_	:    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       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       return ConvertCommand(args.tfds_path	,      args.datasets_directory		)





class   UpperCamelCase_ (       a_  ):



  @staticmethod
  def 		UpperCamelCase_				(      snake_case__				)			->			Tuple:



         """simple docstring"""





         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:



         """simple docstring"""





         UpperCAmelCase	    =			get_logger("""datasets-cli/converting"""				)

         UpperCAmelCase	    =			tfds_path
         UpperCAmelCase	    =			datasets_directory



  def 		UpperCamelCase_				(      self				)			->			List[Any]:



         """simple docstring"""





         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"""







def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			0
       UpperCAmelCase	    =			len(lowerCAmelCase		)

       for i in range(n - 1		):
              for j in range(i + 1	,      lowerCAmelCase		):
                     if arr[i] > arr[j]:
                            num_inversions += 1

       return num_inversions






def       _lowerCAmelCase       (      lowerCAmelCase		):







       '''simple docstring'''
       if len(lowerCAmelCase		) <= 1:
              return arr, 0
       UpperCAmelCase	    =			len(lowerCAmelCase		) // 2
       UpperCAmelCase	    =			arr[0:mid]
       UpperCAmelCase	    =			arr[mid:]

       UpperCAmelCase    ,       UpperCAmelCase	    =			count_inversions_recursive(lowerCAmelCase		)
       UpperCAmelCase    ,       UpperCAmelCase	    =			count_inversions_recursive(lowerCAmelCase		)
       UpperCAmelCase    ,       UpperCAmelCase	    =			_count_cross_inversions(lowerCAmelCase	,      lowerCAmelCase		)

       UpperCAmelCase	    =			inversion_p + inversions_q + cross_inversions
       return c, num_inversions






def       _lowerCAmelCase       (      lowerCAmelCase	,      lowerCAmelCase		):







       '''simple docstring'''
       UpperCAmelCase	    =			[]
       UpperCAmelCase	    =			UpperCAmelCase	    =			UpperCAmelCase	    =			0
       while i < len(lowerCAmelCase		) and j < len(lowerCAmelCase		):
              if p[i] > q[j]:
                     # if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
                     # These are all inversions. The claim emerges from the
                     # property that P is sorted.
                     num_inversion += len(lowerCAmelCase		) - i
                     r.append(q[j]		)
                     j += 1
              else:
                     r.append(p[i]		)
                     i += 1

       if i < len(lowerCAmelCase		):
              r.extend(p[i:]		)
       else:
              r.extend(q[j:]		)

       return r, num_inversion






def       _lowerCAmelCase       (      ):







       '''simple docstring'''
       UpperCAmelCase	    =			[10, 2, 1, 5, 5, 2, 11]

       # this arr has 8 inversions:
       # (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

       UpperCAmelCase	    =			count_inversions_bf(lowerCAmelCase		)
       UpperCAmelCase    ,       UpperCAmelCase	    =			count_inversions_recursive(lowerCAmelCase		)

       assert num_inversions_bf == num_inversions_recursive == 8

       print("""number of inversions = """	,      lowerCAmelCase		)

       # testing an array with zero inversion (a sorted arr_1)

       arr_a.sort()
       UpperCAmelCase	    =			count_inversions_bf(lowerCAmelCase		)
       UpperCAmelCase    ,       UpperCAmelCase	    =			count_inversions_recursive(lowerCAmelCase		)

       assert num_inversions_bf == num_inversions_recursive == 0
       print("""number of inversions = """	,      lowerCAmelCase		)

       # an empty list should also have zero inversions
       UpperCAmelCase	    =			[]
       UpperCAmelCase	    =			count_inversions_bf(lowerCAmelCase		)
       UpperCAmelCase    ,       UpperCAmelCase	    =			count_inversions_recursive(lowerCAmelCase		)

       assert num_inversions_bf == num_inversions_recursive == 0
       print("""number of inversions = """	,      lowerCAmelCase		)


if __name__ == "__main__":
 main()
