





from __future__ import annotations





def lowerCAmelCase__(__snake_case							)    ->				list[int]:







	'''simple docstring'''







	assert (
	    isinstance(__snake_case	,__snake_case							) and mask > 0
	), F'mask needs to be positive integer, your input {mask}'
	lowerCamelCase__        =		[]
	lowerCamelCase__        =		mask

	while submask:
		all_submasks.append(__snake_case							)
		lowerCamelCase__        =		(submask - 1) & mask

	return all_submasks


if __name__ == "__main__":
			import doctest

			doctest.testmod()










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


_a									=				logging.get_logger(__name__)

_a									=				{
    "google/pegasus-x-base": "https://huggingface.co/google/pegasus-x-base/resolve/main/config.json",
    "google/pegasus-x-large": "https://huggingface.co/google/pegasus-x-large/resolve/main/config.json",
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}






class  __A   (   lowerCAmelCase			):

			'''simple docstring'''







			lowerCAmelCase_												=						"""pegasus_x"""
			lowerCAmelCase_												=						["""past_key_values"""]
			lowerCAmelCase_												=						{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}





			def __init__(   self	,  __lowerCAmelCase=9_6_1_0_3	,  __lowerCAmelCase=1_6_3_8_4	,  __lowerCAmelCase=1_6	,  __lowerCAmelCase=4_0_9_6	,  __lowerCAmelCase=1_6	,  __lowerCAmelCase=1_6	,  __lowerCAmelCase=4_0_9_6	,  __lowerCAmelCase=1_6	,  __lowerCAmelCase=0.0	,  __lowerCAmelCase=0.0	,  __lowerCAmelCase=True	,  __lowerCAmelCase=True	,  __lowerCAmelCase="gelu"	,  __lowerCAmelCase=1_0_2_4	,  __lowerCAmelCase=0.1	,  __lowerCAmelCase=0.0	,  __lowerCAmelCase=0.0	,  __lowerCAmelCase=0.02	,  __lowerCAmelCase=0	,  __lowerCAmelCase=True	,  __lowerCAmelCase=0	,  __lowerCAmelCase=1	,  __lowerCAmelCase=1	,  __lowerCAmelCase=3_2	,  __lowerCAmelCase=5_1_2	,  __lowerCAmelCase=True	,  **__lowerCAmelCase	,  ):



				'''simple docstring'''







				lowerCamelCase__        =		vocab_size
				lowerCamelCase__        =		max_position_embeddings
				lowerCamelCase__        =		d_model
				lowerCamelCase__        =		encoder_ffn_dim
				lowerCamelCase__        =		encoder_layers
				lowerCamelCase__        =		encoder_attention_heads
				lowerCamelCase__        =		decoder_ffn_dim
				lowerCamelCase__        =		decoder_layers
				lowerCamelCase__        =		decoder_attention_heads
				lowerCamelCase__        =		dropout
				lowerCamelCase__        =		attention_dropout
				lowerCamelCase__        =		activation_dropout
				lowerCamelCase__        =		activation_function
				lowerCamelCase__        =		init_std
				lowerCamelCase__        =		encoder_layerdrop
				lowerCamelCase__        =		decoder_layerdrop
				lowerCamelCase__        =		use_cache
				lowerCamelCase__        =		encoder_layers
				lowerCamelCase__        =		scale_embedding  # scale factor will be sqrt(d_model) if True

				lowerCamelCase__        =		num_global_tokens
				lowerCamelCase__        =		block_size
				lowerCamelCase__        =		stagger_local_blocks

				super().__init__(
				    pad_token_id=__lowerCAmelCase	,  eos_token_id=__lowerCAmelCase	,  is_encoder_decoder=__lowerCAmelCase	,  decoder_start_token_id=__lowerCAmelCase	,  forced_eos_token_id=__lowerCAmelCase	,  **__lowerCAmelCase	,  )





			@property
			def 		__lowerCamelCase    (   self							):



				'''simple docstring'''







				return self.encoder_attention_heads





			@property
			def 		__lowerCamelCase    (   self							):



				'''simple docstring'''







				return self.d_model



