


"""simple docstring"""




import doctest
from collections import deque

import numpy as np
class 					__lowerCAmelCase					:


		'''simple docstring'''



		def __init__(  self      ):
				__a           =			[2, 1, 2, -1]
				__a           =			[1, 2, 3, 4]





		def 			__UpperCAmelCase       (  self      ):
				__a           =			len(self.first_signal      )
				__a           =			len(self.second_signal      )

				__a           =			max(_a							, _a      )

				# create a zero matrix of max_length x max_length
				__a           =			[[0] * max_length for i in range(_a      )]

				# fills the smaller signal with zeros to make both signals of same length
				if length_first_signal < length_second_signal:
						self.first_signal += [0] * (max_length - length_first_signal)
				elif length_first_signal > length_second_signal:
						self.second_signal += [0] * (max_length - length_second_signal)
				for i in range(_a      ):
						__a           =			deque(self.second_signal      )
						rotated_signal.rotate(_a      )
						for j, item in enumerate(_a      ):
								matrix[i][j] += item

        # multiply the matrix with the first signal
				__a           =			np.matmul(np.transpose(_a      )							, np.transpose(self.first_signal      )      )

				# rounding-off to two decimal places
				return [round(_a							, 2      ) for i in final_signal]


if __name__ == "__main__":
				doctest.testmod()










"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_			     =  logging.get_logger(__name__)

lowercase_			     =  {
    "microsoft/beit-base-patch16-224-pt22k": (
        "https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}
class 					__lowerCAmelCase					(   __SCREAMING_SNAKE_CASE       ):


		'''simple docstring'''



		__UpperCAmelCase		:			List[str]										=				'beit'

		def __init__(  self							, _a=8_192							, _a=768							, _a=12							, _a=12							, _a=3_072							, _a="gelu"							, _a=0.0							, _a=0.0							, _a=0.02							, _a=1E-12							, _a=224							, _a=16							, _a=3							, _a=False							, _a=False							, _a=False							, _a=False							, _a=0.1							, _a=0.1							, _a=True							, _a=[3, 5, 7, 11]							, _a=[1, 2, 3, 6]							, _a=True							, _a=0.4							, _a=256							, _a=1							, _a=False							, _a=255							, **_a							, ):
				super().__init__(**_a      )

				__a           =			vocab_size
				__a           =			hidden_size
				__a           =			num_hidden_layers
				__a           =			num_attention_heads
				__a           =			intermediate_size
				__a           =			hidden_act
				__a           =			hidden_dropout_prob
				__a           =			attention_probs_dropout_prob
				__a           =			initializer_range
				__a           =			layer_norm_eps

				__a           =			image_size
				__a           =			patch_size
				__a           =			num_channels
				__a           =			use_mask_token
				__a           =			use_absolute_position_embeddings
				__a           =			use_relative_position_bias
				__a           =			use_shared_relative_position_bias
				__a           =			layer_scale_init_value
				__a           =			drop_path_rate
				__a           =			use_mean_pooling
				# decode head attributes (semantic segmentation)
				__a           =			out_indices
				__a           =			pool_scales
				# auxiliary head attributes (semantic segmentation)
				__a           =			use_auxiliary_head
				__a           =			auxiliary_loss_weight
				__a           =			auxiliary_channels
				__a           =			auxiliary_num_convs
				__a           =			auxiliary_concat_input
				__a           =			semantic_loss_ignore_index







class 					__lowerCAmelCase					(   __SCREAMING_SNAKE_CASE       ):


		'''simple docstring'''



		__UpperCAmelCase		:			List[Any]										=				version.parse('1.11'       )

		@property
		def 			__UpperCAmelCase       (  self      ):
				return OrderedDict(
				    [
				        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
				    ]      )





		@property
		def 			__UpperCAmelCase       (  self      ):
				return 1E-4






