'''simple docstring'''





def 						__A							(     UpperCAmelCase     ,UpperCAmelCase     ,UpperCAmelCase=False					)     ->			Optional[int]:




						'''simple docstring'''

						if isinstance(UpperCAmelCase     ,UpperCAmelCase					) and isinstance(UpperCAmelCase     ,UpperCAmelCase					):
												_UpperCamelCase			:			Any   			=						len(set_a.intersection(UpperCAmelCase					)					)

												if alternative_union:
																		_UpperCamelCase			:			List[str]   			=						len(UpperCAmelCase					) + len(UpperCAmelCase					)
												else:
																		_UpperCamelCase			:			List[str]   			=						len(set_a.union(UpperCAmelCase					)					)

												return intersection / union

						if isinstance(UpperCAmelCase     ,(list, tuple)					) and isinstance(UpperCAmelCase     ,(list, tuple)					):
												_UpperCamelCase			:			List[Any]   			=						[element for element in set_a if element in set_b]

												if alternative_union:
																		_UpperCamelCase			:			str   			=						len(UpperCAmelCase					) + len(UpperCAmelCase					)
																		return len(UpperCAmelCase					) / union
												else:
																		_UpperCamelCase			:			int   			=						set_a + [element for element in set_b if element not in set_a]
																		return len(UpperCAmelCase					) / len(UpperCAmelCase					)

												return len(UpperCAmelCase					) / len(UpperCAmelCase					)
						return None


if __name__ == "__main__":
			lowerCAmelCase_	:		List[str]			=     {"""a""", """b""", """c""", """d""", """e"""}
			lowerCAmelCase_	:		Dict			=     {"""c""", """d""", """e""", """f""", """h""", """i"""}
			print(jaccard_similarity(set_a, set_b))



'''simple docstring'''





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


lowerCAmelCase_	:		int			=     logging.get_logger(__name__)

lowerCAmelCase_	:		List[str]			=     {"""vocab_file""": """vocab.txt"""}

lowerCAmelCase_	:		Optional[Any]			=     {
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

lowerCAmelCase_	:		int			=     {
    """openbmb/cpm-ant-10b""": 1024,
}
def 						__A							(     UpperCAmelCase					)     ->			List[str]:




						'''simple docstring'''
						_UpperCamelCase			:			Optional[int]   			=						collections.OrderedDict()
						with open(UpperCAmelCase     ,"r"     ,encoding="utf-8"					) as reader:
												_UpperCamelCase			:			int   			=						reader.readlines()
						for index, token in enumerate(UpperCAmelCase					):
												_UpperCamelCase			:			Optional[int]   			=						token.rstrip("\n"					)
												_UpperCamelCase			:			List[str]   			=						index
						return vocab




class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''





				def __init__(						self					:						Dict       ,		lowercase__					:						List[str]       ,		lowercase__					:						Any="<unk>"       ,		lowercase__					:						str=200					)							->Optional[int]:


										'''simple docstring'''




										_UpperCamelCase			:			Any   			=						vocab
										_UpperCamelCase			:			str   			=						unk_token
										_UpperCamelCase			:			List[Any]   			=						max_input_chars_per_word







				def  snake_case__				(						self					:						Union[str, Any]       ,		lowercase__					:						Any					)							->Dict:


										'''simple docstring'''




										_UpperCamelCase			:			int   			=						list(lowercase__					)
										if len(lowercase__					) > self.max_input_chars_per_word:
																return [self.unk_token]

										_UpperCamelCase			:			int   			=						0
										_UpperCamelCase			:			List[str]   			=						[]
										while start < len(lowercase__					):
																_UpperCamelCase			:			Union[str, Any]   			=						len(lowercase__					)
																_UpperCamelCase			:			Union[str, Any]   			=						None
																while start < end:
																						_UpperCamelCase			:			Dict   			=						"".join(chars[start:end]					)
																						if substr in self.vocab:
																												_UpperCamelCase			:			int   			=						substr
																												break
																						end -= 1
																if cur_substr is None:
																						sub_tokens.append(self.unk_token					)
																						start += 1
																else:
																						sub_tokens.append(lowercase__					)
																						_UpperCamelCase			:			List[str]   			=						end

										return sub_tokens





class 		SCREAMING_SNAKE_CASE     (					SCREAMING_SNAKE_CASE	):







				'''simple docstring'''
				UpperCAmelCase__							=							VOCAB_FILES_NAMES
				UpperCAmelCase__							=							PRETRAINED_VOCAB_FILES_MAP
				UpperCAmelCase__							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCAmelCase__							=							['''input_ids''', '''attention_mask''']
				UpperCAmelCase__							=							False





				def __init__(						self					:						int       ,		lowercase__					:						str       ,		lowercase__					:						int="<d>"       ,		lowercase__					:						Tuple="</d>"       ,		lowercase__					:						Optional[int]="<s>"       ,		lowercase__					:						Optional[int]="</s>"       ,		lowercase__					:						List[str]="<pad>"       ,		lowercase__					:						Optional[int]="<unk>"       ,		lowercase__					:						int="</n>"       ,		lowercase__					:						Optional[Any]="</_>"       ,		lowercase__					:						int="left"       ,		**lowercase__					:						List[str]       ,		)							->Union[str, Any]:


										'''simple docstring'''




										requires_backends(self       ,		["jieba"]					)
										super().__init__(
										    bod_token=lowercase__       ,		eod_token=lowercase__       ,		bos_token=lowercase__       ,		eos_token=lowercase__       ,		pad_token=lowercase__       ,		unk_token=lowercase__       ,		line_token=lowercase__       ,		space_token=lowercase__       ,		padding_side=lowercase__       ,		**lowercase__       ,		)
										_UpperCamelCase			:			Union[str, Any]   			=						bod_token
										_UpperCamelCase			:			Union[str, Any]   			=						eod_token
										_UpperCamelCase			:			int   			=						load_vocab(lowercase__					)
										_UpperCamelCase			:			Any   			=						self.encoder[space_token]
										_UpperCamelCase			:			List[str]   			=						self.encoder[line_token]

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

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

										_UpperCamelCase			:			Any   			=						WordpieceTokenizer(vocab=self.encoder       ,		unk_token=self.unk_token					)





				@property
				def  snake_case__				(						self					:						Tuple					)							->List[str]:


										'''simple docstring'''




										return self.encoder[self.bod_token]





				@property
				def  snake_case__				(						self					:						Tuple					)							->List[Any]:


										'''simple docstring'''




										return self.encoder[self.eod_token]





				@property
				def  snake_case__				(						self					:						List[str]					)							->int:


										'''simple docstring'''




										return self.encoder["\n"]





				@property
				def  snake_case__				(						self					:						List[str]					)							->int:


										'''simple docstring'''




										return len(self.encoder					)





				def  snake_case__				(						self					:						Dict					)							->Tuple:


										'''simple docstring'''




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





				def  snake_case__				(						self					:						Optional[int]       ,		lowercase__					:						Tuple					)							->Tuple:


										'''simple docstring'''




										_UpperCamelCase			:			Tuple   			=						[]
										for x in jieba.cut(lowercase__       ,		cut_all=lowercase__					):
																output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowercase__					)					)
										return output_tokens





				def  snake_case__				(						self					:						Optional[Any]       ,		lowercase__					:						Any       ,		**lowercase__					:						Tuple					)							->Union[str, Any]:


										'''simple docstring'''




										_UpperCamelCase			:			Optional[int]   			=						[i for i in token_ids if i >= 0]
										_UpperCamelCase			:			Union[str, Any]   			=						[
										    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(lowercase__       ,		**lowercase__					)





				def  snake_case__				(						self					:						Optional[Any]       ,		lowercase__					:						Tuple					)							->Union[str, Any]:


										'''simple docstring'''




										return token in self.encoder





				def  snake_case__				(						self					:						str       ,		lowercase__					:						List[str]					)							->str:


										'''simple docstring'''




										return "".join(lowercase__					)





				def  snake_case__				(						self					:						List[Any]       ,		lowercase__					:						Optional[Any]					)							->int:


										'''simple docstring'''




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





				def  snake_case__				(						self					:						Any       ,		lowercase__					:						Dict					)							->Dict:


										'''simple docstring'''




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





				def  snake_case__				(						self					:						Tuple       ,		lowercase__					:						str       ,		lowercase__					:						Optional[str] = None					)							->Tuple[str]:


										'''simple docstring'''




										if os.path.isdir(lowercase__					):
																_UpperCamelCase			:			Tuple   			=						os.path.join(
																    lowercase__       ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)
										else:
																_UpperCamelCase			:			Optional[int]   			=						(filename_prefix + "-" if filename_prefix else "") + save_directory
										_UpperCamelCase			:			List[str]   			=						0
										if " " in self.encoder:
																_UpperCamelCase			:			Dict   			=						self.encoder[" "]
																del self.encoder[" "]
										if "\n" in self.encoder:
																_UpperCamelCase			:			int   			=						self.encoder["\n"]
																del self.encoder["\n"]
										_UpperCamelCase			:			List[str]   			=						collections.OrderedDict(sorted(self.encoder.items()       ,		key=lambda lowercase__					: x[1]					)					)
										with open(lowercase__       ,		"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!"					)
																												_UpperCamelCase			:			str   			=						token_index
																						writer.write(token + "\n"					)
																						index += 1
										return (vocab_file,)





				def  snake_case__				(						self					:						List[Any]       ,		lowercase__					:						List[int]       ,		lowercase__					:						List[int] = None					)							->List[int]:


										'''simple docstring'''




										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  snake_case__				(						self					:						Optional[int]       ,		lowercase__					:						List[int]       ,		lowercase__					:						Optional[List[int]] = None       ,		lowercase__					:						bool = False					)							->List[int]:


										'''simple docstring'''




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

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


