

import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
					import jieba

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


_UpperCAmelCase						:  List[Any]									=			logging.get_logger(__name__)

_UpperCAmelCase						:  Optional[int]									=			{"""vocab_file""": """vocab.txt"""}

_UpperCAmelCase						:  Dict									=			{
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

_UpperCAmelCase						:  Optional[Any]									=			{
    """openbmb/cpm-ant-10b""": 1024,
}





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       collections.OrderedDict()
							with open(UpperCamelCase__  ,				'r'  ,				encoding='utf-8' ) as reader:
														snake_case_     							=       reader.readlines()
							for index, token in enumerate(UpperCamelCase__ ):
														snake_case_     							=       token.rstrip('\n' )
														snake_case_     							=       index
							return vocab







class 					lowercase							(			lowercase_     ):




				def __init__(   self ,  snake_case ,  snake_case="<unk>" ,  snake_case=200			):
											snake_case_     							=       vocab
											snake_case_     							=       unk_token
											snake_case_     							=       max_input_chars_per_word




				def        a				(   self ,  snake_case			):
											snake_case_     							=       list(snake_case			)
											if len(snake_case			) > self.max_input_chars_per_word:
																		return [self.unk_token]

											snake_case_     							=       0
											snake_case_     							=       []
											while start < len(snake_case			):
																		snake_case_     							=       len(snake_case			)
																		snake_case_     							=       None
																		while start < end:
																									snake_case_     							=       ''.join(chars[start:end]			)
																									if substr in self.vocab:
																																snake_case_     							=       substr
																																break
																									end -= 1
																		if cur_substr is None:
																									sub_tokens.append(self.unk_token			)
																									start += 1
																		else:
																									sub_tokens.append(snake_case			)
																									snake_case_     							=       end

											return sub_tokens







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Union[str, Any]			     =     VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE   :					Dict			     =     PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE   :					Optional[Any]			     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__SCREAMING_SNAKE_CASE   :					Optional[int]			     =     ['''input_ids''', '''attention_mask''']
				__SCREAMING_SNAKE_CASE   :					Any			     =     False




				def __init__(   self ,  snake_case ,  snake_case="<d>" ,  snake_case="</d>" ,  snake_case="<s>" ,  snake_case="</s>" ,  snake_case="<pad>" ,  snake_case="<unk>" ,  snake_case="</n>" ,  snake_case="</_>" ,  snake_case="left" ,  **snake_case ,  ):
											requires_backends(self ,  ['jieba']			)
											super().__init__(
											    bod_token=snake_case ,  eod_token=snake_case ,  bos_token=snake_case ,  eos_token=snake_case ,  pad_token=snake_case ,  unk_token=snake_case ,  line_token=snake_case ,  space_token=snake_case ,  padding_side=snake_case ,  **snake_case ,  )
											snake_case_     							=       bod_token
											snake_case_     							=       eod_token
											snake_case_     							=       load_vocab(snake_case			)
											snake_case_     							=       self.encoder[space_token]
											snake_case_     							=       self.encoder[line_token]

											del self.encoder[space_token]
											del self.encoder[line_token]

											snake_case_     							=       collections.OrderedDict(sorted(self.encoder.items() ,  key=lambda snake_case			: x[1]			)			)
											snake_case_     							=       {v: k for k, v in self.encoder.items()}

											snake_case_     							=       WordpieceTokenizer(vocab=self.encoder ,  unk_token=self.unk_token			)




				@property
				def        a				(   self			):
											return self.encoder[self.bod_token]




				@property
				def        a				(   self			):
											return self.encoder[self.eod_token]




				@property
				def        a				(   self			):
											return self.encoder["\n"]




				@property
				def        a				(   self			):
											return len(self.encoder			)




				def        a				(   self			):
											return dict(self.encoder ,  **self.added_tokens_encoder			)




				def        a				(   self ,  snake_case			):
											snake_case_     							=       []
											for x in jieba.cut(snake_case ,  cut_all=snake_case			):
																		output_tokens.extend(self.wordpiece_tokenizer.tokenize(snake_case			)			)
											return output_tokens




				def        a				(   self ,  snake_case ,  **snake_case			):
											snake_case_     							=       [i for i in token_ids if i >= 0]
											snake_case_     							=       [
											    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
											]
											return super()._decode(snake_case ,  **snake_case			)




				def        a				(   self ,  snake_case			):
											return token in self.encoder




				def        a				(   self ,  snake_case			):
											return "".join(snake_case			)




				def        a				(   self ,  snake_case			):
											return self.encoder.get(snake_case ,  self.encoder.get(self.unk_token			)			)




				def        a				(   self ,  snake_case			):
											return self.decoder.get(snake_case ,  self.unk_token			)




				def        a				(   self ,  snake_case ,  snake_case = None			):
											if os.path.isdir(snake_case			):
																		snake_case_     							=       os.path.join(
																		    snake_case ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
											else:
																		snake_case_     							=       (filename_prefix + '-' if filename_prefix else '') + save_directory
											snake_case_     							=       0
											if " " in self.encoder:
																		snake_case_     							=       self.encoder[' ']
																		del self.encoder[" "]
											if "\n" in self.encoder:
																		snake_case_     							=       self.encoder['\n']
																		del self.encoder["\n"]
											snake_case_     							=       collections.OrderedDict(sorted(self.encoder.items() ,  key=lambda snake_case			: x[1]			)			)
											with open(snake_case ,  'w' ,  encoding='utf-8'			) as writer:
																		for token, token_index in self.encoder.items():
																									if index != token_index:
																																logger.warning(
																																    F'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
																																    ' Please check that the vocabulary is not corrupted!'			)
																																snake_case_     							=       token_index
																									writer.write(token + '\n'			)
																									index += 1
											return (vocab_file,)




				def        a				(   self ,  snake_case ,  snake_case = None			):
											if token_ids_a is None:
																		return [self.bos_token_id] + token_ids_a
											return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a




				def        a				(   self ,  snake_case ,  snake_case = None ,  snake_case = False			):

											if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=snake_case ,  token_ids_a=snake_case ,  already_has_special_tokens=snake_case			)

											if token_ids_a is not None:
																		return [1] + ([0] * len(snake_case			)) + [1] + ([0] * len(snake_case			))
											return [1] + ([0] * len(snake_case			))







import argparse


_UpperCAmelCase						:  Union[str, Any]									=			"""docs/source/_static/js/custom.js"""





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							with open(UpperCamelCase__  ,				encoding='utf-8'  ,				newline='\n' ) as f:
														snake_case_     							=       f.readlines()
							snake_case_     							=       0

							# First let's put the right version
							while not lines[index].startswith('const stableVersion =' ):
														index += 1
							snake_case_     							=       F'''const stableVersion = "v{version}"\n'''

							# Then update the dictionary
							while not lines[index].startswith('const versionMapping = {' ):
														index += 1

							# We go until the end
							while not lines[index].startswith('}' ):
														index += 1
							# We add the new version at the end
							lines[index - 1] += F'''    "v{version}": "v{version}",\n'''

							with open(UpperCamelCase__  ,				'w'  ,				encoding='utf-8'  ,				newline='\n' ) as f:
														f.writelines(UpperCamelCase__ )


if __name__ == "__main__":
					_UpperCAmelCase						:  int									=			argparse.ArgumentParser()
					parser.add_argument("""--version""", help="""Release version.""")
					_UpperCAmelCase						:  str									=			parser.parse_args()
					update_custom_js(args.version)




