


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

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


SCREAMING_SNAKE_CASE       :      Union[str, Any]												= "<<<<<<< This should probably be modified because it mentions: "

SCREAMING_SNAKE_CASE       :      Optional[int]												= "=======\n>>>>>>>\n"

SCREAMING_SNAKE_CASE       :      str												= [
    "TextEncoderConfig",
    "ByteTextEncoder",
    "SubwordTextEncoder",
    "encoder_config",
    "maybe_build_from_corpus",
    "manual_dir",
]

SCREAMING_SNAKE_CASE       :      List[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 				UpperCamelCase_(      lowerCamelCase_ )    ->						Optional[Any]:
    return ConvertCommand(args.tfds_path							, args.datasets_directory )






class _lowerCamelCase(						_a   ):
       @staticmethod
       def 			UpperCamelCase     (					lowerCamelCase)       ->   Dict:




           """simple docstring"""

           _lowercase       :							Union[str, Any]      		=		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)       ->   Optional[int]:




           """simple docstring"""

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

           _lowercase       :							Union[str, Any]      		=		tfds_path
           _lowercase       :							Tuple      		=		datasets_directory




       def 			UpperCamelCase     (					self)       ->   List[str]:




           """simple docstring"""

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

           _lowercase       :							List[str]      		=		os.path.abspath(self._datasets_directory)

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

           _lowercase       :							Any      		=		[]
           _lowercase       :							Union[str, Any]      		=		[]
           _lowercase       :							Optional[Any]      		=		{}

           if os.path.isdir(self._tfds_path):
               _lowercase       :							int      		=		os.listdir(lowerCamelCase)
           else:
               _lowercase       :							List[Any]      		=		[os.path.basename(self._tfds_path)]

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

               _lowercase       :							Any      		=		[]
               _lowercase       :							Tuple      		=		False
               _lowercase       :							Union[str, Any]      		=		False
               _lowercase       :							Optional[int]      		=		[]
               for line in lines:
                   _lowercase       :							Dict      		=		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       :							Tuple      		=		'import datasets\n'
                   elif "import tensorflow" in out_line:
                       # order is important here
                       _lowercase       :							List[Any]      		=		''
                       continue
                   elif "from absl import logging" in out_line:
                       _lowercase       :							List[str]      		=		'from datasets import logging\n'
                   elif "getLogger" in out_line:
                       _lowercase       :							Tuple      		=		out_line.replace('getLogger',      'get_logger')
                   elif any(expression in out_line for expression in TO_HIGHLIGHT):
                       _lowercase       :							Tuple      		=		True
                       _lowercase       :							List[str]      		=		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:
                           _lowercase       :							Union[str, Any]      		=		re.sub(lowerCamelCase,      lowerCamelCase,      lowerCamelCase)

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

               if is_builder or "wmt" in f_name:
                   # We create a new directory for each dataset
                   _lowercase       :							Optional[Any]      		=		f_name.replace('.py',      '')
                   _lowercase       :							Tuple      		=		os.path.join(lowerCamelCase,      lowerCamelCase)
                   _lowercase       :							str      		=		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:
                   _lowercase       :							int      		=		os.path.basename(lowerCamelCase)
                   _lowercase       :							int      		=		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 Iterable, Iterator
from dataclasses import dataclass

SCREAMING_SNAKE_CASE       :      Tuple												= (3, 9, -11, 0, 7, 5, 1, -1)
SCREAMING_SNAKE_CASE       :      Union[str, Any]												= (4, 6, 2, 0, 8, 10, 3, -2)






@dataclass
class _lowerCamelCase:
       lowercase_ :	int
       lowercase_ :	Node | None






class _lowerCamelCase:
       def __init__(					self,      lowerCamelCase)       ->   None:




           """simple docstring"""

           _lowercase       :							Node | None      		=		None
           for i in sorted(lowerCamelCase,      reverse=lowerCamelCase):
               _lowercase       :							Tuple      		=		Node(lowerCamelCase,      self.head)
       def __iter__(					self)       ->   Iterator[int]:




           """simple docstring"""

           _lowercase       :							Union[str, Any]      		=		self.head
           while node:
               yield node.data
               _lowercase       :							int      		=		node.next_node
       def __len__(					self)       ->   int:




           """simple docstring"""

           return sum(1 for _ in self)




       def __str__(					self)       ->   str:




           """simple docstring"""

           return " -> ".join([str(lowerCamelCase) for node in self])



def 				UpperCamelCase_(      lowerCamelCase_							, lowerCamelCase_ )    ->						SortedLinkedList:
    return SortedLinkedList(list(lowerCamelCase_ ) + list(lowerCamelCase_ ) )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 SCREAMING_SNAKE_CASE       :      int												= SortedLinkedList
 print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))


