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


lowercase__						:str					    =       logging.get_logger(__name__)

lowercase__						:Any					    =       {
    "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 							lowercase						(   SCREAMING_SNAKE_CASE__						):
							lowercase_			:			Union[str, Any]			   ='''reformer'''
							lowercase_			:			int			   =['''past_buckets_states''']
							lowercase_			:			Optional[Any]			   ={}




							def __init__(							self  ,A__=6_4  ,A__=["local", "lsh", "local", "lsh", "local", "lsh"]  ,A__=1.0  ,A__=True  ,A__=[6_4, 6_4]  ,A__=[6_4, 1_9_2]  ,A__=0  ,A__=2  ,A__=5_1_2  ,A__=None  ,A__="relu"  ,A__=0.05  ,A__=2_5_6  ,A__=0.02  ,A__=False  ,A__=1E-12  ,A__=1  ,A__=0  ,A__=0.05  ,A__=6_4  ,A__=6_4  ,A__=0.0  ,A__=1  ,A__=0  ,A__=4_0_9_6  ,A__=1_2  ,A__=None  ,A__=1  ,A__=0  ,A__=3_2_0  ,A__=False  ,A__=True  ,A__=None  ,**A__  ,):
												lowercase		      =		hash_seed
												lowercase		      =		vocab_size
												lowercase		      =		attention_head_size
												lowercase		      =		hidden_size
												lowercase		      =		num_attention_heads
												lowercase		      =		num_hashes
												lowercase		      =		len(A__)
												lowercase		      =		tuple(A__) if isinstance(A__  ,A__) else num_buckets
												lowercase		      =		lsh_attn_chunk_length
												lowercase		      =		local_attn_chunk_length
												lowercase		      =		lsh_num_chunks_after
												lowercase		      =		lsh_num_chunks_before
												lowercase		      =		local_num_chunks_after
												lowercase		      =		local_num_chunks_before
												lowercase		      =		hidden_act
												lowercase		      =		feed_forward_size
												lowercase		      =		hidden_dropout_prob
												lowercase		      =		lsh_attention_probs_dropout_prob
												lowercase		      =		local_attention_probs_dropout_prob
												lowercase		      =		max_position_embeddings
												lowercase		      =		initializer_range
												lowercase		      =		layer_norm_eps
												lowercase		      =		axial_pos_embds
												lowercase		      =		tuple(A__)
												lowercase		      =		tuple(A__)
												lowercase		      =		axial_norm_std
												lowercase		      =		chunk_size_lm_head
												lowercase		      =		attn_layers
												lowercase		      =		use_cache
												lowercase		      =		classifier_dropout
												super().__init__(
												    pad_token_id=A__  ,eos_token_id=A__  ,is_decoder=A__  ,tie_word_embeddings=A__  ,**A__  ,)






def 			UpperCamelCase       (				lowerCAmelCase__ = 30						):
					'''simple docstring'''
					lowercase		      =		exponent + 2
					lowercase		      =		(1 + 5**0.5) / 2
					lowercase		      =		(phi**fibonacci_index - (phi - 1) ** fibonacci_index) / 5**0.5

					return int(lowerCAmelCase__						)


if __name__ == "__main__":
							print(F'{solution() = }')




