



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

lowerCamelCase            =		"""=======
>>>>>>>
"""

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

lowerCamelCase            =		[
    # (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      a__			(   lowerCAmelCase__   ):
      return ConvertCommand(args.tfds_path			,    args.datasets_directory   )


class    lowercase__     (					__lowerCamelCase   ):







       '''simple docstring'''


       @staticmethod
       def   lowercase__       (							_UpperCAmelCase    :						str					)				->		List[str]:


             '''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=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    :						int	,       _UpperCAmelCase    :						Tuple	,       _UpperCAmelCase    :						Tuple	,       *_UpperCAmelCase    :						Union[str, Any]					)				->		int:


             '''simple docstring'''




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

             UpperCAmelCase_    				=							tfds_path
             UpperCAmelCase_    				=							datasets_directory







       def   lowercase__       (							self    :						Tuple					)				->		List[str]:


             '''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(a_					)
             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(a_	,       a_					)
                   UpperCAmelCase_    				=							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:
                         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 _UpperCAmelCase					: 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:
                                     UpperCAmelCase_    				=							re.sub(a_	,       a_	,       a_					)

                # 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]+)"	,       a_					)
                               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(a_					)

                   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(a_	,       a_					)
                         UpperCAmelCase_    				=							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:
                         UpperCAmelCase_    				=							os.path.basename(a_					)
                         UpperCAmelCase_    				=							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'."""					)









"""simple docstring"""





def      a__			(   lowerCAmelCase__   ):
      if not head:
            return True
      # split the list to two parts
      UpperCAmelCase_				,					UpperCAmelCase_    				=							head.next, head
      while fast and fast.next:
            UpperCAmelCase_    				=							fast.next.next
            UpperCAmelCase_    				=							slow.next
      UpperCAmelCase_    				=							slow.next
      UpperCAmelCase_    				=							None  # Don't forget here! But forget still works!
      # reverse the second part
      UpperCAmelCase_    				=							None
      while second:
            UpperCAmelCase_    				=							second.next
            UpperCAmelCase_    				=							node
            UpperCAmelCase_    				=							second
            UpperCAmelCase_    				=							nxt
      # compare two parts
      # second part has the same or one less node
      while node:
            if node.val != head.val:
                  return False
            UpperCAmelCase_    				=							node.next
            UpperCAmelCase_    				=							head.next
      return True
def      a__			(   lowerCAmelCase__   ):
      if not head or not head.next:
            return True

      # 1. Get the midpoint (slow)
      UpperCAmelCase_    				=							UpperCAmelCase_    				=							UpperCAmelCase_    				=							head
      while fast and fast.next:
            UpperCAmelCase_				,					UpperCAmelCase_    				=							fast.next.next, slow.next

      # 2. Push the second half into the stack
      UpperCAmelCase_    				=							[slow.val]
      while slow.next:
            UpperCAmelCase_    				=							slow.next
            stack.append(slow.val   )

      # 3. Comparison
      while stack:
            if stack.pop() != cur.val:
                  return False
            UpperCAmelCase_    				=							cur.next

      return True


def      a__			(   lowerCAmelCase__   ):
      if not head or not head.next:
            return True
      UpperCAmelCase_    				=							{}
      UpperCAmelCase_    				=							0
      while head:
            if head.val in d:
                  d[head.val].append(lowerCAmelCase__   )
            else:
                  UpperCAmelCase_    				=							[pos]
            UpperCAmelCase_    				=							head.next
            pos += 1
      UpperCAmelCase_    				=							pos - 1
      UpperCAmelCase_    				=							0
      for v in d.values():
            if len(lowerCAmelCase__   ) % 2 != 0:
                  middle += 1
            else:
                  UpperCAmelCase_    				=							0
                  for i in range(0			,    len(lowerCAmelCase__   )   ):
                        if v[i] + v[len(lowerCAmelCase__   ) - 1 - step] != checksum:
                              return False
                        step += 1
            if middle > 1:
                  return False
      return True




