



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   _lowerCAmelCase   (						A__	):
						return ConvertCommand(args.tfds_path						,  args.datasets_directory	)



class       UpperCAmelCase__(							lowerCamelCase	):

			'''simple docstring'''




			@staticmethod
			def 			UpperCAmelCase		(						lowerCAmelCase  :			ArgumentParser)	->				Optional[int]:




									"""simple docstring"""

									lowercase__     =  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  :			Optional[Any]			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			str			,				*lowerCAmelCase  :			str)	->				Optional[Any]:




									"""simple docstring"""

									lowercase__     =  get_logger('datasets-cli/converting')

									lowercase__     =  tfds_path
									lowercase__     =  datasets_directory



			def 			UpperCAmelCase		(						self  :			List[Any])	->				List[str]:




									"""simple docstring"""

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

									lowercase__     =  os.path.abspath(self._datasets_directory)

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

									lowercase__     =  []
									lowercase__     =  []
									lowercase__     =  {}

									if os.path.isdir(self._tfds_path):
															lowercase__     =  os.listdir(lowerCAmelCase)
									else:
															lowercase__     =  [os.path.basename(self._tfds_path)]

									for f_name in file_names:
															self._logger.info(f'''Looking at file {f_name}''')
															lowercase__     =  os.path.join(lowerCAmelCase			,				lowerCAmelCase)
															lowercase__     =  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__     =  f.readlines()

															lowercase__     =  []
															lowercase__     =  False
															lowercase__     =  False
															lowercase__     =  []
															for line in lines:
																					lowercase__     =  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__     =  'import datasets\n'
																					elif "import tensorflow" in out_line:
																											# order is important here
																											lowercase__     =  ''
																											continue
																					elif "from absl import logging" in out_line:
																											lowercase__     =  'from datasets import logging\n'
																					elif "getLogger" in out_line:
																											lowercase__     =  out_line.replace('getLogger'			,				'get_logger')
																					elif any(expression in out_line for expression in TO_HIGHLIGHT):
																											lowercase__     =  True
																											lowercase__     =  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__     =  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__     =  re.match(R'from\stensorflow_datasets.*import\s([^\.\r\n]+)'			,				lowerCAmelCase)
																											tfds_imports.extend(imp.strip() for imp in match.group(1).split(','))
																											lowercase__     =  '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__     =  True
																					out_lines.append(lowerCAmelCase)

															if is_builder or "wmt" in f_name:
																					# We create a new directory for each dataset
																					lowercase__     =  f_name.replace('.py'			,				'')
																					lowercase__     =  os.path.join(lowerCAmelCase			,				lowerCAmelCase)
																					lowercase__     =  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__     =  os.path.basename(lowerCAmelCase)
																					lowercase__     =  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\'.''')





import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a__      :				Optional[int]   	=			logging.get_logger(__name__)


a__      :				Dict   	=			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

a__      :				str   	=			{
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

a__      :				Any   	=			{"facebook/blenderbot_small-90M": 5_12}

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  set()
      lowercase__     =  word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            lowercase__     =  char

      lowercase__     =  set(A__	)
      return pairs



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  List[str]       				=    VOCAB_FILES_NAMES
   A    :  str       				=    PRETRAINED_VOCAB_FILES_MAP
   A    :  int       				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A    :  Tuple       				=    ["input_ids", "attention_mask"]


   def __init__(						self  :			Optional[int]			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			int="__start__"			,				lowerCAmelCase  :			Dict="__end__"			,				lowerCAmelCase  :			Any="__unk__"			,				lowerCAmelCase  :			str="__null__"			,				**lowerCAmelCase  :			Optional[Any]			,				)	->				List[str]:




         """simple docstring"""

         super().__init__(unk_token=lowerCAmelCase			,				bos_token=lowerCAmelCase			,				eos_token=lowerCAmelCase			,				pad_token=lowerCAmelCase			,				**lowerCAmelCase)

         with open(lowerCAmelCase			,				encoding='utf-8') as vocab_handle:
               lowercase__     =  json.load(lowerCAmelCase)
         lowercase__     =  {v: k for k, v in self.encoder.items()}
         with open(lowerCAmelCase			,				encoding='utf-8') as merges_handle:
               lowercase__     =  merges_handle.read().split('\n')[1:-1]
         lowercase__     =  [tuple(merge.split()) for merge in merges]
         lowercase__     =  dict(zip(lowerCAmelCase			,				range(len(lowerCAmelCase))))
         lowercase__     =  {}


   @property
   def 			UpperCAmelCase		(						self  :			int)	->				int:




         """simple docstring"""

         return len(self.encoder)


   def 			UpperCAmelCase		(						self  :			str)	->				Dict:




         """simple docstring"""

         return dict(self.encoder			,				**self.added_tokens_encoder)


   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			str)	->				str:




         """simple docstring"""

         if token in self.cache:
               return self.cache[token]
         lowercase__     =  re.sub('([.,!?()])'			,				R' \1'			,				lowerCAmelCase)
         lowercase__     =  re.sub('(\')'			,				R' \1 '			,				lowerCAmelCase)
         lowercase__     =  re.sub(R'\s{2,}'			,				' '			,				lowerCAmelCase)
         if "\n" in token:
               lowercase__     =  token.replace('\n'			,				' __newln__')

         lowercase__     =  token.split(' ')
         lowercase__     =  []
         for token in tokens:
               if not len(lowerCAmelCase):
                     continue

               lowercase__     =  token.lower()
               lowercase__     =  tuple(lowerCAmelCase)
               lowercase__     =  tuple(list(word[:-1]) + [word[-1] + '</w>'])
               lowercase__     =  get_pairs(lowerCAmelCase)

               if not pairs:
                     words.append(lowerCAmelCase)
                     continue

               while True:
                     lowercase__     =  min(lowerCAmelCase			,				key=lambda lowerCAmelCase: self.bpe_ranks.get(lowerCAmelCase			,				float('inf')))
                     if bigram not in self.bpe_ranks:
                           break
                     lowercase__,	lowercase__     =  bigram
                     lowercase__     =  []
                     lowercase__     =  0

                     while i < len(lowerCAmelCase):
                           try:
                                 lowercase__     =  word.index(lowerCAmelCase			,				lowerCAmelCase)
                                 new_word.extend(word[i:j])
                                 lowercase__     =  j
                           except ValueError:
                                 new_word.extend(word[i:])
                                 break

                           if word[i] == first and i < len(lowerCAmelCase) - 1 and word[i + 1] == second:
                                 new_word.append(first + second)
                                 i += 2
                           else:
                                 new_word.append(word[i])
                                 i += 1
                     lowercase__     =  tuple(lowerCAmelCase)
                     lowercase__     =  new_word
                     if len(lowerCAmelCase) == 1:
                           break
                     else:
                           lowercase__     =  get_pairs(lowerCAmelCase)
               lowercase__     =  '@@ '.join(lowerCAmelCase)
               lowercase__     =  word[:-4]

               lowercase__     =  word
               words.append(lowerCAmelCase)
         return " ".join(lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			List[str]			,				lowerCAmelCase  :			str)	->				List[str]:




         """simple docstring"""

         lowercase__     =  []

         lowercase__     =  re.findall(R'\S+\n?'			,				lowerCAmelCase)

         for token in words:
               split_tokens.extend(list(self.bpe(lowerCAmelCase).split(' ')))
         return split_tokens


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			str)	->				int:




         """simple docstring"""

         lowercase__     =  token.lower()
         return self.encoder.get(lowerCAmelCase			,				self.encoder.get(self.unk_token))


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			int)	->				str:




         """simple docstring"""

         return self.decoder.get(lowerCAmelCase			,				self.unk_token)


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			List[str])	->				str:




         """simple docstring"""

         lowercase__     =  ' '.join(lowerCAmelCase).replace('@@ '			,				'').strip()
         return out_string



   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			Optional[str] = None)	->				Tuple[str]:




         """simple docstring"""

         if not os.path.isdir(lowerCAmelCase):
               logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
               return
         lowercase__     =  os.path.join(
             lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
         lowercase__     =  os.path.join(
             lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

         with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as f:
               f.write(json.dumps(self.encoder			,				indent=2			,				sort_keys=lowerCAmelCase			,				ensure_ascii=lowerCAmelCase) + '\n')

         lowercase__     =  0
         with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as writer:
               writer.write('#version: 0.2\n')
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,				key=lambda lowerCAmelCase: kv[1]):
                     if index != token_index:
                           logger.warning(
                               f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                               ' Please check that the tokenizer is not corrupted!')
                           lowercase__     =  token_index
                     writer.write(' '.join(lowerCAmelCase) + '\n')
                     index += 1

         return vocab_file, merge_file
