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

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


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

UpperCAmelCase_			    =							'''=======
>>>>>>>
'''

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

UpperCAmelCase_			    =							[
    # (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_     (		lowercase:							Namespace		)    ->				Optional[int]:







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





class  __magic_name__  (		__a    ):





   """simple docstring"""




   @staticmethod
   def   lowerCAmelCase						(	_lowercase					:  ArgumentParser							):



    """simple docstring"""



    _UpperCamelCase:     int							= parser.add_parser(
        '''convert'''		,  help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''		,  )
    train_parser.add_argument(
        '''--tfds_path'''		,  type=_lowercase		,  required=_lowercase		,  help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''		,  )
    train_parser.add_argument(
        '''--datasets_directory'''		,  type=_lowercase		,  required=_lowercase		,  help='''Path to the HuggingFace Datasets folder.'''							)
    train_parser.set_defaults(func=_lowercase							)



   def __init__(	self					:  List[str]		,  _lowercase					:  str		,  _lowercase					:  str		,  *_lowercase					:  List[str]							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= get_logger('''datasets-cli/converting'''							)

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



   def   lowerCAmelCase						(	self					:  List[str]							):



    """simple docstring"""



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

    _UpperCamelCase:     List[Any]							= os.path.abspath(self._datasets_directory							)

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

    _UpperCamelCase:     List[str]							= []
    _UpperCamelCase:     int							= []
    _UpperCamelCase:     Optional[int]							= {}

    if os.path.isdir(self._tfds_path							):
     _UpperCamelCase:     Dict							= os.listdir(_lowercase							)
    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:     Tuple							= os.path.join(_lowercase		,  _lowercase							)
     _UpperCamelCase:     List[Any]							= os.path.join(_lowercase		,  _lowercase							)

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

     with open(_lowercase		,  encoding='''utf-8'''							) as f:
      _UpperCamelCase:     Optional[int]							= f.readlines()

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

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

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

     if needs_manual_update:
      with_manual_update.append(_lowercase							)

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

    for utils_file in utils_files:
     try:
      _UpperCamelCase:     Union[str, Any]							= os.path.basename(_lowercase							)
      _UpperCamelCase:     Optional[Any]							= imports_to_builder_map[f_name.replace('''.py'''		,  ''''''							)]
      self._logger.info(f"""Moving {dest_folder} to {utils_file}"""							)
      shutil.copy(_lowercase		,  _lowercase							)
     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'."""							)
from __future__ import annotations




def       lowerCAmelCase_     (		lowercase:							int = 4		)    ->				list[list[int]]:







 '''simple docstring'''
 _UpperCamelCase:     Dict							= abs(lowercase		) or 4
 return [[1 + x + y * row_size for x in range(lowercase		)] for y in range(lowercase		)]




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				list[list[int]]:







 '''simple docstring'''
 return reverse_row(transpose(lowercase		)		)
 # OR.. transpose(reverse_column(matrix))




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				list[list[int]]:







 '''simple docstring'''
 return reverse_row(reverse_column(lowercase		)		)
 # OR.. reverse_column(reverse_row(matrix))




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				list[list[int]]:







 '''simple docstring'''
 return reverse_column(transpose(lowercase		)		)
 # OR.. transpose(reverse_row(matrix))




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				list[list[int]]:







 '''simple docstring'''
 _UpperCamelCase:     int							= [list(lowercase		) for x in zip(*lowercase		)]
 return matrix




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				list[list[int]]:







 '''simple docstring'''
 _UpperCamelCase:     str							= matrix[::-1]
 return matrix




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				list[list[int]]:







 '''simple docstring'''
 _UpperCamelCase:     str							= [x[::-1] for x in matrix]
 return matrix




def       lowerCAmelCase_     (		lowercase:							list[list[int]]		)    ->				None:







 '''simple docstring'''
 for i in matrix:
  print(*lowercase		)


if __name__ == "__main__":
  UpperCAmelCase_			    =							make_matrix()
  print('''\norigin:\n''')
  print_matrix(matrix)
  print('''\nrotate 90 counterclockwise:\n''')
  print_matrix(rotate_aa(matrix))

  UpperCAmelCase_			    =							make_matrix()
  print('''\norigin:\n''')
  print_matrix(matrix)
  print('''\nrotate 180:\n''')
  print_matrix(rotate_aaa(matrix))

  UpperCAmelCase_			    =							make_matrix()
  print('''\norigin:\n''')
  print_matrix(matrix)
  print('''\nrotate 270 counterclockwise:\n''')
  print_matrix(rotate_aaa(matrix))