


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

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


__a     =			"""<<<<<<< This should probably be modified because it mentions: """

__a     =			"""=======
>>>>>>>
"""

__a     =			[
    """TextEncoderConfig""",
    """ByteTextEncoder""",
    """SubwordTextEncoder""",
    """encoder_config""",
    """maybe_build_from_corpus""",
    """manual_dir""",
]

__a     =			[
    # (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   _UpperCamelCase				(						lowerCAmelCase_   )						->List[Any]:
   return ConvertCommand(args.tfds_path  ,						args.datasets_directory   )







class   __lowercase				(  __snake_case  ):





      @staticmethod
      def        _lowercase				(		__lowerCamelCase						:					ArgumentParser       )    ->   Union[str, Any]:






         """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=__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						:					Tuple					,       __lowerCamelCase						:					str					,       __lowerCamelCase						:					str					,       *__lowerCamelCase						:					Dict       )    ->   List[Any]:






         """simple docstring"""







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

         UpperCAmelCase							=     tfds_path
         UpperCAmelCase							=     datasets_directory





      def        _lowercase				(		self						:					List[str]       )    ->   Optional[int]:






         """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(__lowerCamelCase       )
         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(__lowerCamelCase					,       __lowerCamelCase       )
            UpperCAmelCase							=     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:
               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 __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:
                     UpperCAmelCase							=     re.sub(__lowerCamelCase					,       __lowerCamelCase					,       __lowerCamelCase       )

                # 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]+)"""					,       __lowerCamelCase       )
                  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(__lowerCamelCase       )

            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(__lowerCamelCase					,       __lowerCamelCase       )
               UpperCAmelCase							=     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:
               UpperCAmelCase							=     os.path.basename(__lowerCamelCase       )
               UpperCAmelCase							=     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'."""       )







from __future__ import annotations

from collections.abc import Sequence
from typing import Literal
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->str | Literal[False]:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count += 1
         UpperCAmelCase							=     """_"""
   if count > 1:
      return False
   else:
      return "".join(lowerCAmelCase_   )
def   _UpperCamelCase				(						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   while True:
      UpperCAmelCase							=     ["""$"""] * len(lowerCAmelCase_   )
      UpperCAmelCase							=     []
      for i in range(len(lowerCAmelCase_   )   ):
         for j in range(i + 1  ,						len(lowerCAmelCase_   )   ):
            UpperCAmelCase							=     compare_string(binary[i]  ,						binary[j]   )
            if k is False:
               UpperCAmelCase							=     """*"""
               UpperCAmelCase							=     """*"""
               temp.append("""X"""   )
      for i in range(len(lowerCAmelCase_   )   ):
         if checka[i] == "$":
            pi.append(binary[i]   )
      if len(lowerCAmelCase_   ) == 0:
         return pi
      UpperCAmelCase							=     list(set(lowerCAmelCase_   )   )
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   for minterm in minterms:
      UpperCAmelCase							=     """"""
      for _ in range(lowerCAmelCase_   ):
         UpperCAmelCase							=     str(minterm % 2   ) + string
         minterm //= 2
      temp.append(lowerCAmelCase_   )
   return temp
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )						->bool:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count_n += 1
   return count_n == count
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   UpperCAmelCase							=     [0] * len(lowerCAmelCase_   )
   for i in range(len(chart[0]   )   ):
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      for j in range(len(lowerCAmelCase_   )   ):
         if chart[j][i] == 1:
            count += 1
            UpperCAmelCase							=     j
      if count == 1:
         UpperCAmelCase							=     1
   for i in range(len(lowerCAmelCase_   )   ):
      if select[i] == 1:
         for j in range(len(chart[0]   )   ):
            if chart[i][j] == 1:
               for k in range(len(lowerCAmelCase_   )   ):
                  UpperCAmelCase							=     0
         temp.append(prime_implicants[i]   )
   while True:
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      UpperCAmelCase							=     0
      for i in range(len(lowerCAmelCase_   )   ):
         UpperCAmelCase							=     chart[i].count(1   )
         if count_n > max_n:
            UpperCAmelCase							=     count_n
            UpperCAmelCase							=     i

      if max_n == 0:
         return temp

      temp.append(prime_implicants[rem]   )

      for i in range(len(chart[0]   )   ):
         if chart[rem][i] == 1:
            for j in range(len(lowerCAmelCase_   )   ):
               UpperCAmelCase							=     0
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[list[int]]:
   UpperCAmelCase							=     [[0 for x in range(len(lowerCAmelCase_   )   )] for x in range(len(lowerCAmelCase_   )   )]
   for i in range(len(lowerCAmelCase_   )   ):
      UpperCAmelCase							=     prime_implicants[i].count("""_"""   )
      for j in range(len(lowerCAmelCase_   )   ):
         if is_for_table(prime_implicants[i]  ,						binary[j]  ,						lowerCAmelCase_   ):
            UpperCAmelCase							=     1

   return chart
def   _UpperCamelCase				(						)						->None:
   UpperCAmelCase							=     int(input("""Enter the no. of variables\n"""   )   )
   UpperCAmelCase							=     [
       float(lowerCAmelCase_   )
       for x in input(
           """Enter the decimal representation of Minterms 'Spaces Separated'\n"""   ).split()
   ]
   UpperCAmelCase							=     decimal_to_binary(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     check(lowerCAmelCase_   )
   print("""Prime Implicants are:"""   )
   print(lowerCAmelCase_   )
   UpperCAmelCase							=     prime_implicant_chart(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     selection(lowerCAmelCase_  ,						lowerCAmelCase_   )
   print("""Essential Prime Implicants are:"""   )
   print(lowerCAmelCase_   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()



