
"""simple docstring"""




# Function to print upper half of diamond (pyramid)




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  for i in range(0 ,				_UpperCamelCase						):
    for _ in range(0 ,				n - i - 1						):  # printing spaces
      print(''' ''' ,				end=''''''						)
    for _ in range(0 ,				i + 1						):  # printing stars
      print('''* ''' ,				end=''''''						)
    print()




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  for i in range(_UpperCamelCase ,				0 ,				-1						):
    for _ in range(_UpperCamelCase ,				0 ,				-1						):  # printing stars
      print('''* ''' ,				end=''''''						)
    print()
    for _ in range(n - i + 1 ,				0 ,				-1						):  # printing spaces
      print(''' ''' ,				end=''''''						)




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  if n <= 0:
    print('''       ...       ....        nothing printing :('''						)
    return
  floyd(_UpperCamelCase						)  # upper half
  reverse_floyd(_UpperCamelCase						)  # lower half


if __name__ == "__main__":
  print(r'| /\ | |- |  |-  |--| |\  /| |-')
  print(r'|/  \| |- |_ |_  |__| | \/ | |_')
  A__   :					List[str]							=   1
  while K:
    A__   :					str							=   int(input('enter the number and , and see the magic : '))
    print()
    pretty_print(user_number)
    A__   :					Tuple							=   int(input('press 0 to exit... and 1 to continue...'))

  print('Good Bye...')


"""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__   :					Optional[Any]							=   '<<<<<<< This should probably be modified because it mentions: '

A__   :					Any							=   '=======\n>>>>>>>\n'

A__   :					int							=   [
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

A__   :					Union[str, 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		(		_UpperCamelCase						):






  """simple docstring"""



  return ConvertCommand(args.tfds_path ,				args.datasets_directory						)







class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       @staticmethod
       def 							lowercase_							(     A_       )     ->	Union[str, Any]:





         """simple docstring"""




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





         """simple docstring"""




         _lowercase:			Optional[Any]       =     get_logger('''datasets-cli/converting'''       )

         _lowercase:			Optional[Any]       =     tfds_path
         _lowercase:			Dict       =     datasets_directory



       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




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

         _lowercase:			Dict       =     os.path.abspath(self._datasets_directory       )

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

         _lowercase:			Tuple       =     []
         _lowercase:			List[str]       =     []
         _lowercase:			int       =     {}

         if os.path.isdir(self._tfds_path       ):
           _lowercase:			str       =     os.listdir(A_       )
         else:
           _lowercase:			Tuple       =     [os.path.basename(self._tfds_path       )]

         for f_name in file_names:
           self._logger.info(f'''Looking at file {f_name}'''       )
           _lowercase:			Optional[int]       =     os.path.join(A_ ,				A_       )
           _lowercase:			Optional[Any]       =     os.path.join(A_ ,				A_       )

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

           with open(A_ ,				encoding='''utf-8'''       ) as f:
             _lowercase:			Any       =     f.readlines()

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

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

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

           if needs_manual_update:
             with_manual_update.append(A_       )

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

         for utils_file in utils_files:
           try:
             _lowercase:			Optional[int]       =     os.path.basename(A_       )
             _lowercase:			List[Any]       =     imports_to_builder_map[f_name.replace('''.py''' ,				''''''       )]
             self._logger.info(f'''Moving {dest_folder} to {utils_file}'''       )
             shutil.copy(A_ ,				A_       )
           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\'.'''       )
