





'''simple docstring'''


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					:						str					     =							{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

_lowerCamelCase					:						Dict					     =							{
    '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					:						Dict					     =							{
    'microsoft/biogpt': 1024,
}




def  __a			(  UpperCAmelCase     )   ->List[Any]:



	"""simple docstring"""







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



class 				__UpperCAmelCase	(							A__    ):







		'''simple docstring'''







		__lowerCAmelCase								=     VOCAB_FILES_NAMES
		__lowerCAmelCase								=     PRETRAINED_VOCAB_FILES_MAP
		__lowerCAmelCase								=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowerCAmelCase								=     ['''input_ids''', '''attention_mask''']







		def __init__(self    :   List[Any]   ,   _lowerCAmelCase    :   Union[str, Any]   ,   _lowerCAmelCase    :   Any   ,   _lowerCAmelCase    :   Dict="<unk>"   ,   _lowerCAmelCase    :   Any="<s>"   ,   _lowerCAmelCase    :   Tuple="</s>"   ,   _lowerCAmelCase    :   List[Any]="</s>"   ,   _lowerCAmelCase    :   Optional[int]="<pad>"   ,   **_lowerCAmelCase    :   Tuple   ,   ):
			super().__init__(
			    bos_token=_lowerCAmelCase   ,   eos_token=_lowerCAmelCase   ,   sep_token=_lowerCAmelCase   ,   unk_token=_lowerCAmelCase   ,   pad_token=_lowerCAmelCase   ,   **_lowerCAmelCase   ,   )

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

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







		@property
		def 							A  (self    :   List[str]   ):
			return len(self.encoder   )







		def 							A  (self    :   Optional[Any]   ):
			return dict(self.encoder   ,   **self.added_tokens_encoder   )







		def 							A  (self    :   Dict   ,   _lowerCAmelCase    :   Tuple   ,   _lowerCAmelCase    :   List[Any]   ):
			if lang not in self.cache_moses_tokenizer:
				A					=   self.sm.MosesTokenizer(lang=_lowerCAmelCase   )
				A					=   moses_tokenizer
			return self.cache_moses_tokenizer[lang].tokenize(
			    _lowerCAmelCase   ,   aggressive_dash_splits=_lowerCAmelCase   ,   return_str=_lowerCAmelCase   ,   escape=_lowerCAmelCase   )







		def 							A  (self    :   str   ,   _lowerCAmelCase    :   Dict   ,   _lowerCAmelCase    :   str   ):
			if lang not in self.cache_moses_detokenizer:
				A					=   self.sm.MosesDetokenizer(lang=_lowerCAmelCase   )
				A					=   moses_detokenizer
			return self.cache_moses_detokenizer[lang].detokenize(_lowerCAmelCase   )







		def 							A  (self    :   Union[str, Any]   ,   _lowerCAmelCase    :   Optional[Any]   ):
			A					=   tuple(token[:-1]   ) + (token[-1] + """</w>""",)
			if token in self.cache:
				return self.cache[token]
			A					=   get_pairs(_lowerCAmelCase   )

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

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

					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
				A					=   tuple(_lowerCAmelCase   )
				A					=   new_word
				if len(_lowerCAmelCase   ) == 1:
					break
				else:
					A					=   get_pairs(_lowerCAmelCase   )
			A					=   """ """.join(_lowerCAmelCase   )
			if word == "\n  </w>":
				A					=   """\n</w>"""
			A					=   word
			return word







		def 							A  (self    :   Tuple   ,   _lowerCAmelCase    :   Tuple   ,   _lowerCAmelCase    :   Union[str, Any]=False   ):
			if bypass_tokenizer:
				A					=   text.split()
			else:
				A					=   self.moses_tokenize(_lowerCAmelCase   ,   self.lang   )

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

			return split_tokens







		def 							A  (self    :   List[str]   ,   _lowerCAmelCase    :   int   ):
			return self.encoder.get(_lowerCAmelCase   ,   self.encoder.get(self.unk_token   )   )







		def 							A  (self    :   Dict   ,   _lowerCAmelCase    :   Tuple   ):
			return self.decoder.get(_lowerCAmelCase   ,   self.unk_token   )







		def 							A  (self    :   int   ,   _lowerCAmelCase    :   Dict   ):
			A					=   [t.replace(""" """   ,   """"""   ).replace("""</w>"""   ,   """ """   ) for t in tokens]
			A					=   """""".join(_lowerCAmelCase   ).split()
			# detokenize
			A					=   self.moses_detokenize(_lowerCAmelCase   ,   self.lang   )
			return text







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







		def 							A  (self    :   Optional[Any]   ,   _lowerCAmelCase    :   List[int]   ,   _lowerCAmelCase    :   Optional[List[int]] = None   ,   _lowerCAmelCase    :   bool = False   ):
			if already_has_special_tokens:
				return super().get_special_tokens_mask(
				    token_ids_a=_lowerCAmelCase   ,   token_ids_a=_lowerCAmelCase   ,   already_has_special_tokens=_lowerCAmelCase   )
			# no bos used in fairseq
			if token_ids_a is not None:
				return [1] + ([0] * len(_lowerCAmelCase   )) + [1] + ([0] * len(_lowerCAmelCase   ))
			return [1] + ([0] * len(_lowerCAmelCase   ))







		def 							A  (self    :   List[Any]   ,   _lowerCAmelCase    :   List[int]   ,   _lowerCAmelCase    :   Optional[List[int]] = None   ):
			A					=   [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 							A  (self    :   Optional[int]   ,   _lowerCAmelCase    :   str   ,   _lowerCAmelCase    :   Optional[str] = None   ):
			if not os.path.isdir(_lowerCAmelCase   ):
				logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
				return
			A					=   os.path.join(
			    _lowerCAmelCase   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
			A					=   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"""   )

			A					=   0
			with open(_lowerCAmelCase   ,   """w"""   ,   encoding="""utf-8"""   ) as writer:
				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!"""   )
						A					=   token_index
					writer.write(""" """.join(_lowerCAmelCase   ) + """\n"""   )
					index += 1

			return vocab_file, merge_file







		def __getstate__(self    :   Optional[Any]   ):
			A					=   self.__dict__.copy()
			A					=   None
			return state







		def __setstate__(self    :   Optional[Any]   ,   _lowerCAmelCase    :   Optional[int]   ):
			A					=   d

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

			A					=   sacremoses








'''simple docstring'''


from math import pi




def  __a			(  UpperCAmelCase     )   ->float:



	"""simple docstring"""







	return degree / (180 / pi)


if __name__ == "__main__":
				from doctest import testmod

				testmod()

