
"""simple docstring"""




from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case    =		logging.get_logger(__name__)

snake_case    =		{
    'google/reformer-crime-and-punishment': (
        'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json'
    ),
    'google/reformer-enwik8': 'https://huggingface.co/google/reformer-enwik8/resolve/main/config.json',
}




class      UpperCamelCase	(       __magic_name__      ):

				"""simple docstring"""



				UpperCAmelCase_				:      Any						  =				"reformer"
				UpperCAmelCase_				:      Union[str, Any]						  =				["past_buckets_states"]
				UpperCAmelCase_				:      List[Any]						  =				{}


				def __init__(				self		,	lowercase__=64		,	lowercase__=["local", "lsh", "local", "lsh", "local", "lsh"]		,	lowercase__=1.0		,	lowercase__=True		,	lowercase__=[64, 64]		,	lowercase__=[64, 192]		,	lowercase__=0		,	lowercase__=2		,	lowercase__=512		,	lowercase__=None		,	lowercase__="relu"		,	lowercase__=0.05		,	lowercase__=256		,	lowercase__=0.02		,	lowercase__=False		,	lowercase__=1E-12		,	lowercase__=1		,	lowercase__=0		,	lowercase__=0.05		,	lowercase__=64		,	lowercase__=64		,	lowercase__=0.0		,	lowercase__=1		,	lowercase__=0		,	lowercase__=4096		,	lowercase__=12		,	lowercase__=None		,	lowercase__=1		,	lowercase__=0		,	lowercase__=320		,	lowercase__=False		,	lowercase__=True		,	lowercase__=None		,	**lowercase__		,	)    ->    Optional[Any]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	hash_seed
									SCREAMING_SNAKE_CASE				=	vocab_size
									SCREAMING_SNAKE_CASE				=	attention_head_size
									SCREAMING_SNAKE_CASE				=	hidden_size
									SCREAMING_SNAKE_CASE				=	num_attention_heads
									SCREAMING_SNAKE_CASE				=	num_hashes
									SCREAMING_SNAKE_CASE				=	len(lowercase__			)
									SCREAMING_SNAKE_CASE				=	tuple(lowercase__			) if isinstance(lowercase__		,	lowercase__			) else num_buckets
									SCREAMING_SNAKE_CASE				=	lsh_attn_chunk_length
									SCREAMING_SNAKE_CASE				=	local_attn_chunk_length
									SCREAMING_SNAKE_CASE				=	lsh_num_chunks_after
									SCREAMING_SNAKE_CASE				=	lsh_num_chunks_before
									SCREAMING_SNAKE_CASE				=	local_num_chunks_after
									SCREAMING_SNAKE_CASE				=	local_num_chunks_before
									SCREAMING_SNAKE_CASE				=	hidden_act
									SCREAMING_SNAKE_CASE				=	feed_forward_size
									SCREAMING_SNAKE_CASE				=	hidden_dropout_prob
									SCREAMING_SNAKE_CASE				=	lsh_attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE				=	local_attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE				=	max_position_embeddings
									SCREAMING_SNAKE_CASE				=	initializer_range
									SCREAMING_SNAKE_CASE				=	layer_norm_eps
									SCREAMING_SNAKE_CASE				=	axial_pos_embds
									SCREAMING_SNAKE_CASE				=	tuple(lowercase__			)
									SCREAMING_SNAKE_CASE				=	tuple(lowercase__			)
									SCREAMING_SNAKE_CASE				=	axial_norm_std
									SCREAMING_SNAKE_CASE				=	chunk_size_lm_head
									SCREAMING_SNAKE_CASE				=	attn_layers
									SCREAMING_SNAKE_CASE				=	use_cache
									SCREAMING_SNAKE_CASE				=	classifier_dropout
									super().__init__(
									    pad_token_id=lowercase__		,	eos_token_id=lowercase__		,	is_decoder=lowercase__		,	tie_word_embeddings=lowercase__		,	**lowercase__		,	)


"""simple docstring"""




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


snake_case    =		logging.get_logger(__name__)

snake_case    =		{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

snake_case    =		{
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json',
    },
}




class      UpperCamelCase	(       __magic_name__      ):

				"""simple docstring"""



				def __init__(				self		,	lowercase__=None		,	lowercase__=None		,	lowercase__=False		,	lowercase__=True		,	lowercase__=False		,	lowercase__="<s>"		,	lowercase__="</s>"		,	lowercase__="<unk>"		,	lowercase__="<sep>"		,	lowercase__="<pad>"		,	lowercase__="<cls>"		,	lowercase__="<mask>"		,	lowercase__=["<eop>", "<eod>"]		,	**lowercase__		,	)    ->    int:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	AddedToken(lowercase__		,	lstrip=lowercase__		,	rstrip=lowercase__			) if isinstance(lowercase__		,	lowercase__			) else mask_token

									super().__init__(
									    vocab_file=lowercase__		,	tokenizer_file=lowercase__		,	do_lower_case=lowercase__		,	remove_space=lowercase__		,	keep_accents=lowercase__		,	bos_token=lowercase__		,	eos_token=lowercase__		,	unk_token=lowercase__		,	sep_token=lowercase__		,	pad_token=lowercase__		,	cls_token=lowercase__		,	mask_token=lowercase__		,	additional_special_tokens=lowercase__		,	**lowercase__		,	)

									SCREAMING_SNAKE_CASE				=	3
									SCREAMING_SNAKE_CASE				=	do_lower_case
									SCREAMING_SNAKE_CASE				=	remove_space
									SCREAMING_SNAKE_CASE				=	keep_accents
									SCREAMING_SNAKE_CASE				=	vocab_file
									SCREAMING_SNAKE_CASE				=	False if not self.vocab_file else True

									try:
														import jieba
									except ModuleNotFoundError as error:
														raise error.__class__(
														    'You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '
														    'See https://pypi.org/project/jieba/ for installation.'			)
									SCREAMING_SNAKE_CASE				=	jieba
									SCREAMING_SNAKE_CASE				=	str.maketrans(' \n'		,	'\u2582\u2583'			)


				def 							A					(				self		,	lowercase__		,	lowercase__ = None			)    ->    List[int]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	[self.sep_token_id]
									SCREAMING_SNAKE_CASE				=	[self.cls_token_id]
									if token_ids_a is None:
														return token_ids_a + sep + cls
									return token_ids_a + sep + token_ids_a + sep + cls


				def 							A					(				self		,	lowercase__		,	lowercase__ = None			)    ->    List[int]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	[self.sep_token_id]
									SCREAMING_SNAKE_CASE				=	[2]

									if token_ids_a is None:
														return len(token_ids_a + sep			) * [0] + cls_segment_id
									return len(token_ids_a + sep			) * [0] + len(token_ids_a + sep			) * [1] + cls_segment_id


				def 							A					(				self		,	lowercase__		,	lowercase__ = None			)    ->    Tuple[str]:
									"""simple docstring"""







									if not self.can_save_slow_tokenizer:
														raise ValueError(
														    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
														    'tokenizer.'			)

									if not os.path.isdir(lowercase__			):
														logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
														return
									SCREAMING_SNAKE_CASE				=	os.path.join(
									    lowercase__		,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

									if os.path.abspath(self.vocab_file			) != os.path.abspath(lowercase__			):
														copyfile(self.vocab_file		,	lowercase__			)

									return (out_vocab_file,)


				def 							A					(				self		,	lowercase__		,	*lowercase__		,	**lowercase__			)    ->    Any:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	[
									    ' '.join([x.translate(self.translator			) for x in self.jieba.cut(lowercase__		,	cut_all=lowercase__			)]			)
									    for text in batch_text_or_text_pairs
									]
									return super()._batch_encode_plus(lowercase__		,	*lowercase__		,	**lowercase__			)




				def 							A					(				self		,	*lowercase__		,	**lowercase__			)    ->    Optional[int]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	super()._decode(*lowercase__		,	**lowercase__			)
									SCREAMING_SNAKE_CASE				=	text.replace(' '		,	''			).replace('\u2582'		,	' '			).replace('\u2583'		,	'\n'			)
									return text
