






"""simple docstring"""

from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder


# @@protoc_insertion_point(imports)

lowercase    			=       _symbol_database.Default()


lowercase    			=       _descriptor_pool.Default().AddSerializedFile(
    b'''\n\x19sentencepiece_model.proto\x12\rsentencepiece"\x80\x0c\n\x0bTrainerSpec\x12\r\n\x05input\x18\x01 \x03(\t\x12\x14\n\x0cinput_format\x18\x07 \x01(\t\x12\x14\n\x0cmodel_prefix\x18\x02 \x01(\t\x12\x41\n\nmodel_type\x18\x03 \x01(\x0e\x32$.sentencepiece.TrainerSpec.ModelType:\x07UNIGRAM\x12\x18\n\nvocab_size\x18\x04 \x01(\x05:\x04\x38\x30\x30\x30\x12\x17\n\x0f\x61\x63\x63\x65pt_language\x18\x05 \x03(\t\x12 \n\x15self_test_sample_size\x18\x06 \x01(\x05:\x01\x30\x12*\n\x1b\x65nable_differential_privacy\x18\x32 \x01(\x08:\x05\x66\x61lse\x12+\n differential_privacy_noise_level\x18\x33 \x01(\x02:\x01\x30\x12\x32\n\'differential_privacy_clipping_threshold\x18\x34 \x01(\x04:\x01\x30\x12"\n\x12\x63haracter_coverage\x18\n \x01(\x02:\x06\x30.9995\x12\x1e\n\x13input_sentence_size\x18\x0b \x01(\x04:\x01\x30\x12$\n\x16shuffle_input_sentence\x18\x13 \x01(\x08:\x04true\x12 \n\x14mining_sentence_size\x18\x0c \x01(\x05\x42\x02\x18\x01\x12"\n\x16training_sentence_size\x18\r \x01(\x05\x42\x02\x18\x01\x12(\n\x17seed_sentencepiece_size\x18\x0e \x01(\x05:\x07\x31\x30\x30\x30\x30\x30\x30\x12\x1e\n\x10shrinking_factor\x18\x0f \x01(\x02:\x04\x30.75\x12!\n\x13max_sentence_length\x18\x12 \x01(\x05:\x04\x34\x31\x39\x32\x12\x17\n\x0bnum_threads\x18\x10 \x01(\x05:\x02\x31\x36\x12\x1d\n\x12num_sub_iterations\x18\x11 \x01(\x05:\x01\x32\x12$\n\x18max_sentencepiece_length\x18\x14 \x01(\x05:\x02\x31\x36\x12%\n\x17split_by_unicode_script\x18\x15 \x01(\x08:\x04true\x12\x1d\n\x0fsplit_by_number\x18\x17 \x01(\x08:\x04true\x12!\n\x13split_by_whitespace\x18\x16 \x01(\x08:\x04true\x12)\n\x1atreat_whitespace_as_suffix\x18\x18 \x01(\x08:\x05\x66\x61lse\x12+\n\x1c\x61llow_whitespace_only_pieces\x18\x1a \x01(\x08:\x05\x66\x61lse\x12\x1b\n\x0csplit_digits\x18\x19 \x01(\x08:\x05\x66\x61lse\x12#\n\x19pretokenization_delimiter\x18\x35 \x01(\t:\x00\x12\x17\n\x0f\x63ontrol_symbols\x18\x1e \x03(\t\x12\x1c\n\x14user_defined_symbols\x18\x1f \x03(\t\x12\x16\n\x0erequired_chars\x18$ \x01(\t\x12\x1c\n\rbyte_fallback\x18# \x01(\x08:\x05\x66\x61lse\x12+\n\x1dvocabulary_output_piece_score\x18  \x01(\x08:\x04true\x12\x1e\n\x10hard_vocab_limit\x18! \x01(\x08:\x04true\x12\x1c\n\ruse_all_vocab\x18" \x01(\x08:\x05\x66\x61lse\x12\x11\n\x06unk_id\x18( \x01(\x05:\x01\x30\x12\x11\n\x06\x62os_id\x18) \x01(\x05:\x01\x31\x12\x11\n\x06\x65os_id\x18* \x01(\x05:\x01\x32\x12\x12\n\x06pad_id\x18+ \x01(\x05:\x02-1\x12\x18\n\tunk_piece\x18- \x01(\t:\x05<unk>\x12\x16\n\tbos_piece\x18. \x01(\t:\x03<s>\x12\x17\n\teos_piece\x18/ \x01(\t:\x04</s>\x12\x18\n\tpad_piece\x18\x30 \x01(\t:\x05<pad>\x12\x1a\n\x0bunk_surface\x18, \x01(\t:\x05 \xe2\x81\x87 \x12+\n\x1ctrain_extremely_large_corpus\x18\x31 \x01(\x08:\x05\x66\x61lse"5\n\tModelType\x12\x0b\n\x07UNIGRAM\x10\x01\x12\x07\n\x03\x42PE\x10\x02\x12\x08\n\x04WORD\x10\x03\x12\x08\n\x04\x43HAR\x10\x04*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02"\xd1\x01\n\x0eNormalizerSpec\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1c\n\x14precompiled_charsmap\x18\x02 \x01(\x0c\x12\x1e\n\x10\x61\x64\x64_dummy_prefix\x18\x03 \x01(\x08:\x04true\x12&\n\x18remove_extra_whitespaces\x18\x04 \x01(\x08:\x04true\x12 \n\x12\x65scape_whitespaces\x18\x05 \x01(\x08:\x04true\x12\x1e\n\x16normalization_rule_tsv\x18\x06 \x01(\t*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02"y\n\x0cSelfTestData\x12\x33\n\x07samples\x18\x01 \x03(\x0b\x32".sentencepiece.SelfTestData.Sample\x1a)\n\x06Sample\x12\r\n\x05input\x18\x01 \x01(\t\x12\x10\n\x08\x65xpected\x18\x02 \x01(\t*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02"\xfe\x03\n\nModelProto\x12\x37\n\x06pieces\x18\x01 \x03(\x0b\x32\'.sentencepiece.ModelProto.SentencePiece\x12\x30\n\x0ctrainer_spec\x18\x02 \x01(\x0b\x32\x1a.sentencepiece.TrainerSpec\x12\x36\n\x0fnormalizer_spec\x18\x03 \x01(\x0b\x32\x1d.sentencepiece.NormalizerSpec\x12\x33\n\x0eself_test_data\x18\x04 \x01(\x0b\x32\x1b.sentencepiece.SelfTestData\x12\x38\n\x11\x64\x65normalizer_spec\x18\x05 \x01(\x0b\x32\x1d.sentencepiece.NormalizerSpec\x1a\xd2\x01\n\rSentencePiece\x12\r\n\x05piece\x18\x01 \x01(\t\x12\r\n\x05score\x18\x02 \x01(\x02\x12\x42\n\x04type\x18\x03 \x01(\x0e\x32,.sentencepiece.ModelProto.SentencePiece.Type:\x06NORMAL"T\n\x04Type\x12\n\n\x06NORMAL\x10\x01\x12\x0b\n\x07UNKNOWN\x10\x02\x12\x0b\n\x07\x43ONTROL\x10\x03\x12\x10\n\x0cUSER_DEFINED\x10\x04\x12\x08\n\x04\x42YTE\x10\x06\x12\n\n\x06UNUSED\x10\x05*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02*\t\x08\xc8\x01\x10\x80\x80\x80\x80\x02\x42\x02H\x03'''
)

lowercase    			=       globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, '''sentencepiece_model_pb2''', _globals)
if _descriptor._USE_C_DESCRIPTORS is False:
			lowercase    			=       None
			lowercase    			=       b'''H\003'''
			# (generated by protobuf compiler, but `_TRAINERSPEC` is not defined)
			# _TRAINERSPEC.fields_by_name["mining_sentence_size"]._options = None
			# _TRAINERSPEC.fields_by_name["mining_sentence_size"]._serialized_options = b"\030\001"
			# _TRAINERSPEC.fields_by_name["training_sentence_size"]._options = None
			# _TRAINERSPEC.fields_by_name["training_sentence_size"]._serialized_options = b"\030\001"
			lowercase    			=       45
			lowercase    			=       1581
			lowercase    			=       1517
			lowercase    			=       1570
			lowercase    			=       1584
			lowercase    			=       1793
			lowercase    			=       1795
			lowercase    			=       1916
			lowercase    			=       1864
			lowercase    			=       1905
			lowercase    			=       1919
			lowercase    			=       2429
			lowercase    			=       2208
			lowercase    			=       2418
			lowercase    			=       2323
			lowercase    			=       2407
# @@protoc_insertion_point(module_scope)











"""simple docstring"""

from copy import deepcopy

class 						A_							:







				def __init__(							self							:						List[str]						,    __lowerCamelCase							:						list[int] | None = None						,    __lowerCamelCase							:						int | None = None	)				->					None:

										if arr is None and size is not None:
																__magic_name__            =     size
																__magic_name__            =     [0] * size
										elif arr is not None:
																self.init(__lowerCamelCase	)
										else:
																raise ValueError("Either arr or size must be specified"	)







				def     _snake_case					(							self							:						Optional[int]						,    __lowerCamelCase							:						list[int]	)				->					None:
										__magic_name__            =     len(__lowerCamelCase	)
										__magic_name__            =     deepcopy(__lowerCamelCase	)
										for i in range(1						,    self.size	):
																__magic_name__            =     self.next_(__lowerCamelCase	)
																if j < self.size:
																						self.tree[j] += self.tree[i]







				def     _snake_case					(							self							:						Any	)				->					list[int]:
										__magic_name__            =     self.tree[:]
										for i in range(self.size - 1						,    0						,    -1	):
																__magic_name__            =     self.next_(__lowerCamelCase	)
																if j < self.size:
																						arr[j] -= arr[i]
										return arr







				@staticmethod
				def     _snake_case					(							__lowerCamelCase							:						int	)				->					int:
										return index + (index & (-index))







				@staticmethod
				def     _snake_case					(							__lowerCamelCase							:						int	)				->					int:
										return index - (index & (-index))







				def     _snake_case					(							self							:						Union[str, Any]						,    __lowerCamelCase							:						int						,    __lowerCamelCase							:						int	)				->					None:
										if index == 0:
																self.tree[0] += value
																return
										while index < self.size:
																self.tree[index] += value
																__magic_name__            =     self.next_(__lowerCamelCase	)







				def     _snake_case					(							self							:						Any						,    __lowerCamelCase							:						int						,    __lowerCamelCase							:						int	)				->					None:
										self.add(__lowerCamelCase						,    value - self.get(__lowerCamelCase	)	)







				def     _snake_case					(							self							:						List[Any]						,    __lowerCamelCase							:						int	)				->					int:
										if right == 0:
																return 0
										__magic_name__            =     self.tree[0]
										right -= 1  # make right inclusive
										while right > 0:
																result += self.tree[right]
																__magic_name__            =     self.prev(__lowerCamelCase	)
										return result







				def     _snake_case					(							self							:						Any						,    __lowerCamelCase							:						int						,    __lowerCamelCase							:						int	)				->					int:
										return self.prefix(__lowerCamelCase	) - self.prefix(__lowerCamelCase	)







				def     _snake_case					(							self							:						Tuple						,    __lowerCamelCase							:						int	)				->					int:
										return self.query(__lowerCamelCase						,    index + 1	)







				def     _snake_case					(							self							:						Tuple						,    __lowerCamelCase							:						int	)				->					int:
										value -= self.tree[0]
										if value < 0:
																return -1

										__magic_name__            =     1  # Largest power of 2 <= size
										while j * 2 < self.size:
																j *= 2

										__magic_name__            =     0

										while j > 0:
																if i + j < self.size and self.tree[i + j] <= value:
																						value -= self.tree[i + j]
																						i += j
																j //= 2
										return i


if __name__ == "__main__":
			import doctest

			doctest.testmod()



