'''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


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

A_     :						Tuple    							='''=======
>>>>>>>
'''

A_     :						List[str]    							=[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

A_     :						List[str]    							=[
    # (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 snake_case_      (					__snake_case  :							Namespace)			->					str:
   return ConvertCommand(args.tfds_path	,   args.datasets_directory)






class     __UpperCAmelCase       ( __a		):





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





  def __init__(	self    ,     _lowerCamelCase    ,     _lowerCamelCase    ,     *_lowerCamelCase ):
     lowerCAmelCase_			=      get_logger('''datasets-cli/converting''' )

     lowerCAmelCase_			=      tfds_path
     lowerCAmelCase_			=      datasets_directory







  def 						UpperCAmelCase_	(	self ):
     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(_lowerCamelCase )
     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(_lowerCamelCase    ,     _lowerCamelCase )
        lowerCAmelCase_			=      os.path.join(_lowerCamelCase    ,     _lowerCamelCase )

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

        with open(_lowerCamelCase    ,     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 _lowerCamelCase : e in out_line    ,     _lowerCamelCase ) )
              out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(_lowerCamelCase ) + '''\n''' )
              out_lines.append(_lowerCamelCase )
              out_lines.append(_lowerCamelCase )
              continue
           else:
              for pattern, replacement in TO_CONVERT:
                 lowerCAmelCase_			=      re.sub(_lowerCamelCase    ,     _lowerCamelCase    ,     _lowerCamelCase )

                # 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]+)'''    ,     _lowerCamelCase )
              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(_lowerCamelCase )

        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(_lowerCamelCase    ,     _lowerCamelCase )
           lowerCAmelCase_			=      os.path.join(_lowerCamelCase    ,     _lowerCamelCase )
           os.makedirs(_lowerCamelCase    ,     exist_ok=_lowerCamelCase )
           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(_lowerCamelCase )

        if needs_manual_update:
           with_manual_update.append(_lowerCamelCase )

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

     for utils_file in utils_files:
        try:
           lowerCAmelCase_			=      os.path.basename(_lowerCamelCase )
           lowerCAmelCase_			=      imports_to_builder_map[f_name.replace('''.py'''    ,     '''''' )]
           self._logger.info(F'''Moving {dest_folder} to {utils_file}''' )
           shutil.copy(_lowerCamelCase    ,     _lowerCamelCase )
        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 snake_case_      (					__snake_case  :							int = 200)			->					int:
   lowerCAmelCase_			=      [1, 2, 5, 10, 20, 50, 100, 200]
   lowerCAmelCase_			=      [0] * (pence + 1)
   lowerCAmelCase_			=      1  # base case: 1 way to make 0 pence

   for coin in coins:
      for i in range(__snake_case	,   pence + 1	,   1):
         number_of_ways[i] += number_of_ways[i - coin]
   return number_of_ways[pence]


if __name__ == "__main__":
 assert solution(2_00) == 7_36_82





