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

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


lowerCamelCase_  :       Optional[Any]					      =     logging.get_logger(__name__)

lowerCamelCase_  :       Tuple					      =     {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

lowerCamelCase_  :       Optional[int]					      =     {
    """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"""},
}

lowerCamelCase_  :       Optional[Any]					      =     {
    """microsoft/biogpt""": 10_24,
}







def 				A__    (  lowerCamelCase  )     ->		str:
				UpperCamelCase_:							Optional[Any]		=  set()
				UpperCamelCase_:							Any		=  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)  )
								UpperCamelCase_:							Optional[int]		=  char
				return pairs





class 				_UpperCamelCase (    _A     ):






			'''simple docstring'''

			__UpperCamelCase					:  List[Any]    					=       VOCAB_FILES_NAMES
			__UpperCamelCase					:  Dict    					=       PRETRAINED_VOCAB_FILES_MAP
			__UpperCamelCase					:  Optional[int]    					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__UpperCamelCase					:  Tuple    					=       ["""input_ids""", """attention_mask"""]

			def __init__(				self       :				Tuple  ,		snake_case_       :				List[Any]  ,		snake_case_       :				Dict  ,		snake_case_       :				List[Any]="<unk>"  ,		snake_case_       :				List[str]="<s>"  ,		snake_case_       :				Dict="</s>"  ,		snake_case_       :				Optional[int]="</s>"  ,		snake_case_       :				Union[str, Any]="<pad>"  ,		**snake_case_       :				Tuple  ,		):
							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_:							Any		=  """en"""
							UpperCamelCase_:							int		=  sacremoses
							# cache of sm.MosesTokenizer instance
							UpperCamelCase_:							Union[str, Any]		=  {}
							UpperCamelCase_:							Union[str, Any]		=  {}
							with open(snake_case_  ,		encoding="""utf-8"""					) as vocab_handle:
											UpperCamelCase_:							List[str]		=  json.load(snake_case_					)
							UpperCamelCase_:							Union[str, Any]		=  {v: k for k, v in self.encoder.items()}
							with open(snake_case_  ,		encoding="""utf-8"""					) as merges_handle:
											UpperCamelCase_:							List[str]		=  merges_handle.read().split("""\n"""					)[:-1]
							UpperCamelCase_:							int		=  [tuple(merge.split()[:2]					) for merge in merges]
							UpperCamelCase_:							int		=  dict(zip(snake_case_  ,		range(len(snake_case_					)					)					)					)
							UpperCamelCase_:							Tuple		=  {}

			@property
			def 					lowerCAmelCase__		(				self       :				str					):
							return len(self.encoder					)

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

			def 					lowerCAmelCase__		(				self       :				List[str]  ,		snake_case_       :				Any  ,		snake_case_       :				int					):
							if lang not in self.cache_moses_tokenizer:
											UpperCamelCase_:							Any		=  self.sm.MosesTokenizer(lang=snake_case_					)
											UpperCamelCase_:							Tuple		=  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       :				Union[str, Any]  ,		snake_case_       :				Tuple  ,		snake_case_       :				List[Any]					):
							if lang not in self.cache_moses_detokenizer:
											UpperCamelCase_:							Union[str, Any]		=  self.sm.MosesDetokenizer(lang=snake_case_					)
											UpperCamelCase_:							Optional[Any]		=  moses_detokenizer
							return self.cache_moses_detokenizer[lang].detokenize(snake_case_					)

			def 					lowerCAmelCase__		(				self       :				int  ,		snake_case_       :				Optional[Any]					):
							UpperCamelCase_:							Optional[Any]		=  tuple(token[:-1]					) + (token[-1] + """</w>""",)
							if token in self.cache:
											return self.cache[token]
							UpperCamelCase_:							Any		=  get_pairs(snake_case_					)

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

							while True:
											UpperCamelCase_:							int		=  min(snake_case_  ,		key=lambda snake_case_					: self.bpe_ranks.get(snake_case_  ,		float("""inf"""					)					)					)
											if bigram not in self.bpe_ranks:
															break
											UpperCamelCase_,      UpperCamelCase_:							List[Any]		=  bigram
											UpperCamelCase_:							Dict		=  []
											UpperCamelCase_:							Optional[int]		=  0
											while i < len(snake_case_					):
															try:
																			UpperCamelCase_:							List[str]		=  word.index(snake_case_  ,		snake_case_					)
															except ValueError:
																			new_word.extend(word[i:]					)
																			break
															else:
																			new_word.extend(word[i:j]					)
																			UpperCamelCase_:							List[Any]		=  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		=  tuple(snake_case_					)
											UpperCamelCase_:							int		=  new_word
											if len(snake_case_					) == 1:
															break
											else:
															UpperCamelCase_:							Any		=  get_pairs(snake_case_					)
							UpperCamelCase_:							Union[str, Any]		=  """ """.join(snake_case_					)
							if word == "\n  </w>":
											UpperCamelCase_:							Dict		=  """\n</w>"""
							UpperCamelCase_:							List[Any]		=  word
							return word

			def 					lowerCAmelCase__		(				self       :				Any  ,		snake_case_       :				Tuple  ,		snake_case_       :				Dict=False					):
							if bypass_tokenizer:
											UpperCamelCase_:							str		=  text.split()
							else:
											UpperCamelCase_:							Dict		=  self.moses_tokenize(snake_case_  ,		self.lang					)

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

							return split_tokens

			def 					lowerCAmelCase__		(				self       :				Any  ,		snake_case_       :				Tuple					):
							return self.encoder.get(snake_case_  ,		self.encoder.get(self.unk_token					)					)

			def 					lowerCAmelCase__		(				self       :				str  ,		snake_case_       :				Dict					):
							return self.decoder.get(snake_case_  ,		self.unk_token					)

			def 					lowerCAmelCase__		(				self       :				Union[str, Any]  ,		snake_case_       :				Dict					):
							UpperCamelCase_:							List[str]		=  [t.replace(""" """  ,		""""""					).replace("""</w>"""  ,		""" """					) for t in tokens]
							UpperCamelCase_:							int		=  """""".join(snake_case_					).split()
							# detokenize
							UpperCamelCase_:							Union[str, Any]		=  self.moses_detokenize(snake_case_  ,		self.lang					)
							return text

			def 					lowerCAmelCase__		(				self       :				List[str]  ,		snake_case_       :				List[int]  ,		snake_case_       :				Optional[List[int]] = None					):
							if token_ids_a is None:
											return [self.sep_token_id] + token_ids_a
							UpperCamelCase_:							int		=  [self.sep_token_id]
							return sep + token_ids_a + sep + token_ids_a

			def 					lowerCAmelCase__		(				self       :				List[str]  ,		snake_case_       :				List[int]  ,		snake_case_       :				Optional[List[int]] = None  ,		snake_case_       :				bool = 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_					)
							# 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       :				List[str]  ,		snake_case_       :				List[int]  ,		snake_case_       :				Optional[List[int]] = None					):
							UpperCamelCase_:							List[str]		=  [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       :				str  ,		snake_case_       :				str  ,		snake_case_       :				Optional[str] = None					):
							if not os.path.isdir(snake_case_					):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
											return
							UpperCamelCase_:							Dict		=  os.path.join(
							    snake_case_  ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
							UpperCamelCase_:							Union[str, Any]		=  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_:							List[str]		=  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_:							str		=  token_index
															writer.write(""" """.join(snake_case_					) + """\n"""					)
															index += 1

							return vocab_file, merge_file

			def __getstate__(				self       :				Optional[Any]					):
							UpperCamelCase_:							Union[str, Any]		=  self.__dict__.copy()
							UpperCamelCase_:							Dict		=  None
							return state




			def __setstate__(				self       :				Tuple  ,		snake_case_       :				Optional[Any]					):
							UpperCamelCase_:							Any		=  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_:							Optional[int]		=  sacremoses













"""simple docstring"""





import numpy as np




def 		lowerCAmelCase_	(  lowercase_   :							str		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE :			Dict												=       np.exp(lowercase_		)

 # Add up the all the exponentials
 __SCREAMING_SNAKE_CASE :			Tuple												=       np.sum(lowercase_		)

 # Divide every exponent by the sum of all exponents
 __SCREAMING_SNAKE_CASE :			List[Any]												=       exponent_vector / sum_of_exponents

 return softmax_vector


if __name__ == "__main__":
    print(softmax((0,)))

