



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

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


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

UpperCAmelCase				:							Dict								={
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

UpperCAmelCase				:							Union[str, Any]								={
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

UpperCAmelCase				:							List[Any]								={
    "microsoft/biogpt": 1024,
}



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






class  _lowercase				(A__ ):
				'''simple docstring'''







				lowercase__				  =  VOCAB_FILES_NAMES
				lowercase__				  =  PRETRAINED_VOCAB_FILES_MAP
				lowercase__				  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase__				  =  ["""input_ids""", """attention_mask"""]

				def __init__(	self       ,	snake_case__       ,	snake_case__       ,	snake_case__="<unk>"       ,	snake_case__="<s>"       ,	snake_case__="</s>"       ,	snake_case__="</s>"       ,	snake_case__="<pad>"       ,	**snake_case__       ,	):

									'''simple docstring'''


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

									try:
														import sacremoses
									except ImportError:
														raise ImportError(
														    "You need to install sacremoses to use BioGptTokenizer. "
														    "See https://pypi.org/project/sacremoses/ for installation."      )

									UpperCamelCase_											=				'''en'''
									UpperCamelCase_											=				sacremoses
									# cache of sm.MosesTokenizer instance
									UpperCamelCase_											=				{}
									UpperCamelCase_											=				{}
									with open(__snake_case       ,	encoding="utf-8"      ) as vocab_handle:
														UpperCamelCase_											=				json.load(__snake_case      )
									UpperCamelCase_											=				{v: k for k, v in self.encoder.items()}
									with open(__snake_case       ,	encoding="utf-8"      ) as merges_handle:
														UpperCamelCase_											=				merges_handle.read().split("\n"      )[:-1]
									UpperCamelCase_											=				[tuple(merge.split()[:2]      ) for merge in merges]
									UpperCamelCase_											=				dict(zip(__snake_case       ,	range(len(__snake_case      )      )      )      )
									UpperCamelCase_											=				{}

				@property
				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


									return len(self.encoder      )

				def  _lowerCamelCase   (	self      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__      ):

									'''simple docstring'''


									if lang not in self.cache_moses_tokenizer:
														UpperCamelCase_											=				self.sm.MosesTokenizer(lang=__snake_case      )
														UpperCamelCase_											=				moses_tokenizer
									return self.cache_moses_tokenizer[lang].tokenize(
									    __snake_case       ,	aggressive_dash_splits=__snake_case       ,	return_str=__snake_case       ,	escape=__snake_case      )

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__      ):

									'''simple docstring'''


									if lang not in self.cache_moses_detokenizer:
														UpperCamelCase_											=				self.sm.MosesDetokenizer(lang=__snake_case      )
														UpperCamelCase_											=				moses_detokenizer
									return self.cache_moses_detokenizer[lang].detokenize(__snake_case      )

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


									UpperCamelCase_											=				tuple(token[:-1]      ) + (token[-1] + '''</w>''',)
									if token in self.cache:
														return self.cache[token]
									UpperCamelCase_											=				get_pairs(__snake_case      )

									if not pairs:
														return token + "</w>"

									while True:
														UpperCamelCase_											=				min(__snake_case       ,	key=lambda snake_case__      : self.bpe_ranks.get(__snake_case       ,	float("inf"      )      )      )
														if bigram not in self.bpe_ranks:
																			break
														UpperCamelCase_											=				bigram
														UpperCamelCase_											=				[]
														UpperCamelCase_											=				0
														while i < len(__snake_case      ):
																			try:
																								UpperCamelCase_											=				word.index(__snake_case       ,	__snake_case      )
																			except ValueError:
																								new_word.extend(word[i:]      )
																								break
																			else:
																								new_word.extend(word[i:j]      )
																								UpperCamelCase_											=				j

																			if word[i] == first and i < len(__snake_case      ) - 1 and word[i + 1] == second:
																								new_word.append(first + second      )
																								i += 2
																			else:
																								new_word.append(word[i]      )
																								i += 1
														UpperCamelCase_											=				tuple(__snake_case      )
														UpperCamelCase_											=				new_word
														if len(__snake_case      ) == 1:
																			break
														else:
																			UpperCamelCase_											=				get_pairs(__snake_case      )
									UpperCamelCase_											=				''' '''.join(__snake_case      )
									if word == "\n  </w>":
														UpperCamelCase_											=				'''\n</w>'''
									UpperCamelCase_											=				word
									return word

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__=False      ):

									'''simple docstring'''


									if bypass_tokenizer:
														UpperCamelCase_											=				text.split()
									else:
														UpperCamelCase_											=				self.moses_tokenize(__snake_case       ,	self.lang      )

									UpperCamelCase_											=				[]
									for token in text:
														if token:
																			split_tokens.extend(list(self.bpe(__snake_case      ).split(" "      )      )      )

									return split_tokens

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


									return self.encoder.get(__snake_case       ,	self.encoder.get(self.unk_token      )      )

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


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

				def  _lowerCamelCase   (	self       ,	snake_case__      ):

									'''simple docstring'''


									UpperCamelCase_											=				[t.replace(" "       ,	""      ).replace("</w>"       ,	" "      ) for t in tokens]
									UpperCamelCase_											=				''''''.join(__snake_case      ).split()
									# detokenize
									UpperCamelCase_											=				self.moses_detokenize(__snake_case       ,	self.lang      )
									return text

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = None      ):

									'''simple docstring'''


									if token_ids_a is None:
														return [self.sep_token_id] + token_ids_a
									UpperCamelCase_											=				[self.sep_token_id]
									return sep + token_ids_a + sep + token_ids_a

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = None       ,	snake_case__ = False      ):

									'''simple docstring'''


									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      )
									# no bos used in fairseq
									if token_ids_a is not None:
														return [1] + ([0] * len(__snake_case      )) + [1] + ([0] * len(__snake_case      ))
									return [1] + ([0] * len(__snake_case      ))

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = None      ):

									'''simple docstring'''


									UpperCamelCase_											=				[self.sep_token_id]

									# no bos used in fairseq
									if token_ids_a is None:
														return len(token_ids_a + sep      ) * [0]
									return len(token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]

				def  _lowerCamelCase   (	self       ,	snake_case__       ,	snake_case__ = None      ):

									'''simple docstring'''


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

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

									UpperCamelCase_											=				0
									with open(__snake_case       ,	"w"       ,	encoding="utf-8"      ) as writer:
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,	key=lambda snake_case__      : 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!"      )
																								UpperCamelCase_											=				token_index
																			writer.write(" ".join(__snake_case      ) + "\n"      )
																			index += 1

									return vocab_file, merge_file

				def __getstate__(	self      ):

									'''simple docstring'''


									UpperCamelCase_											=				self.__dict__.copy()
									UpperCamelCase_											=				None
									return state

				def __setstate__(	self       ,	snake_case__      ):

									'''simple docstring'''


									UpperCamelCase_											=				d

									try:
														import sacremoses
									except ImportError:
														raise ImportError(
														    "You need to install sacremoses to use XLMTokenizer. "
														    "See https://pypi.org/project/sacremoses/ for installation."      )

									UpperCamelCase_											=				sacremoses





from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments



def 				_lowerCAmelCase      ():
					UpperCamelCase_											=				HfArgumentParser(_lowerCAmelCase)
					try:
										UpperCamelCase_											=				parser.parse_args_into_dataclasses()[0]
					except ValueError as e:
										UpperCamelCase_											=				"Arg --no_{0} is no longer used, please use --no-{0} instead."
										UpperCamelCase_											=				" ".join(str(_lowerCAmelCase).split(" ")[:-1])
										UpperCamelCase_											=				""
										UpperCamelCase_											=				eval(str(_lowerCAmelCase).split(" ")[-1])
										UpperCamelCase_											=				[]
										for arg in depreciated_args:
															# arg[2:] removes '--'
															if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
																				# arg[5:] removes '--no_'
																				full_error_msg += arg_error_msg.format(arg[5:])
															else:
																				wrong_args.append(_lowerCAmelCase)
										if len(_lowerCAmelCase) > 0:
															UpperCamelCase_											=				full_error_msg + begin_error_msg + str(_lowerCAmelCase)
										raise ValueError(_lowerCAmelCase)

					UpperCamelCase_											=				PyTorchBenchmark(args=_lowerCAmelCase)
					benchmark.run()


if __name__ == "__main__":
	main()
