
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


lowercase__		:List[str]			  =   logging.get_logger(__name__)

lowercase__		:Union[str, Any]			  =   {"vocab_file": "vocab.txt"}

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

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



def 	UpperCamelCase   (							lowerCAmelCase__		):
					'''simple docstring'''
					lowercase						     =						collections.OrderedDict()
					with open(SCREAMING_SNAKE_CASE_			,      '''r'''			,      encoding='''utf-8'''		) as reader:
										lowercase						     =						reader.readlines()
					for index, token in enumerate(SCREAMING_SNAKE_CASE_		):
										lowercase						     =						token.rstrip('''\n'''		)
										lowercase						     =						index
					return vocab







class     lowercase		( snake_case__		):




							def __init__(    self       ,A__       ,A__="<unk>"       ,A__=2_0_0):
												lowercase						     =						vocab
												lowercase						     =						unk_token
												lowercase						     =						max_input_chars_per_word





							def 			A__				(    self       ,A__):
												lowercase						     =						list(_A)
												if len(_A) > self.max_input_chars_per_word:
																	return [self.unk_token]

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

												return sub_tokens







class     lowercase		( snake_case__		):
							lowercase_	:	Union[str, Any]	 =VOCAB_FILES_NAMES
							lowercase_	:	Optional[Any]	 =PRETRAINED_VOCAB_FILES_MAP
							lowercase_	:	Any	 =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_	:	List[Any]	 =["""input_ids""", """attention_mask"""]
							lowercase_	:	Dict	 =False




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

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

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

												lowercase						     =						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       ,A__):
												lowercase						     =						[]
												for x in jieba.cut(_A       ,cut_all=_A):
																	output_tokens.extend(self.wordpiece_tokenizer.tokenize(_A))
												return output_tokens




							def 			A__				(    self       ,A__       ,**A__):
												lowercase						     =						[i for i in token_ids if i >= 0]
												lowercase						     =						[
												    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(_A       ,**_A)




							def 			A__				(    self       ,A__):
												return token in self.encoder




							def 			A__				(    self       ,A__):
												return "".join(_A)




							def 			A__				(    self       ,A__):
												return self.encoder.get(_A       ,self.encoder.get(self.unk_token))




							def 			A__				(    self       ,A__):
												return self.decoder.get(_A       ,self.unk_token)




							def 			A__				(    self       ,A__       ,A__ = None):



												if os.path.isdir(_A):
																	lowercase						     =						os.path.join(
																	    _A       ,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
												else:
																	lowercase						     =						(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
												lowercase						     =						0
												if " " in self.encoder:
																	lowercase						     =						self.encoder[''' ''']
																	del self.encoder[" "]
												if "\n" in self.encoder:
																	lowercase						     =						self.encoder['''\n''']
																	del self.encoder["\n"]
												lowercase						     =						collections.OrderedDict(sorted(self.encoder.items()       ,key=lambda A__: x[1]))
												with open(_A       ,'''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!''')
																											lowercase						     =						token_index
																						writer.write(token + '''\n''')
																						index += 1
												return (vocab_file,)




							def 			A__				(    self       ,A__       ,A__ = 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       ,A__       ,A__ = None       ,A__ = False):



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

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






lowercase__		:Any			  =   8.3_144_598



def 	UpperCamelCase   (							lowerCAmelCase__			,      lowerCAmelCase__		):
					'''simple docstring'''
					if temperature < 0:
										raise Exception('''Temperature cannot be less than 0 K'''		)
					if molar_mass <= 0:
										raise Exception('''Molar mass cannot be less than or equal to 0 kg/mol'''		)
					else:
										return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
							import doctest

							# run doctest
							doctest.testmod()

							# example
							lowercase__		:Optional[Any]			  =   300
							lowercase__		:List[Any]			  =   28
							lowercase__		:Dict			  =   rms_speed_of_molecule(temperature, molar_mass)
							print(F'Vrms of Nitrogen gas at 300 K is {vrms} m/s')




