

"""simple docstring"""


from typing import List

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


UpperCAmelCase													=logging.get_logger(__name__)

UpperCAmelCase													={
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}





class lowerCamelCase__   (				SCREAMING_SNAKE_CASE    ):



    '''simple docstring'''




    _lowerCamelCase					=   '''efficientformer'''




    def __init__( self ,lowerCamelCase_ = [3, 2, 6, 4] ,lowerCamelCase_ = [4_8, 9_6, 2_2_4, 4_4_8] ,lowerCamelCase_ = [True, True, True, True] ,lowerCamelCase_ = 4_4_8 ,lowerCamelCase_ = 3_2 ,lowerCamelCase_ = 4 ,lowerCamelCase_ = 7 ,lowerCamelCase_ = 5 ,lowerCamelCase_ = 8 ,lowerCamelCase_ = 4 ,lowerCamelCase_ = 0.0 ,lowerCamelCase_ = 1_6 ,lowerCamelCase_ = 3 ,lowerCamelCase_ = 3 ,lowerCamelCase_ = 3 ,lowerCamelCase_ = 2 ,lowerCamelCase_ = 1 ,lowerCamelCase_ = 0.0 ,lowerCamelCase_ = 1 ,lowerCamelCase_ = True ,lowerCamelCase_ = True ,lowerCamelCase_ = 1E-5 ,lowerCamelCase_ = "gelu" ,lowerCamelCase_ = 0.02 ,lowerCamelCase_ = 1E-12 ,lowerCamelCase_ = 2_2_4 ,lowerCamelCase_ = 1E-05 ,**lowerCamelCase_ ,)    ->      None:
          super().__init__(**lowerCamelCase_    )

          A				  =		hidden_act
          A				  =		hidden_dropout_prob
          A				  =		hidden_sizes
          A				  =		num_hidden_layers
          A				  =		num_attention_heads
          A				  =		initializer_range
          A				  =		layer_norm_eps
          A				  =		patch_size
          A				  =		num_channels
          A				  =		depths
          A				  =		mlp_expansion_ratio
          A				  =		downsamples
          A				  =		dim
          A				  =		key_dim
          A				  =		attention_ratio
          A				  =		resolution
          A				  =		pool_size
          A				  =		downsample_patch_size
          A				  =		downsample_stride
          A				  =		downsample_pad
          A				  =		drop_path_rate
          A				  =		num_metaad_blocks
          A				  =		distillation
          A				  =		use_layer_scale
          A				  =		layer_scale_init_value
          A				  =		image_size
          A				  =		batch_norm_eps







"""simple docstring"""


from __future__ import annotations

from collections.abc import Sequence
from typing import Literal



def   _A					(	_a	:						str     ,   _a	:						str				):



      """simple docstring"""






      A				  =		list(_a				)
      A				  =		list(_a				)
      A				  =		0
      for i in range(len(_a				)				):
            if lista[i] != lista[i]:
                  count += 1
                  A				  =		"""_"""
      if count > 1:
            return False
      else:
            return "".join(_a				)



def   _A					(	_a	:						list[str]				):



      """simple docstring"""






      A				  =		[]
      while True:
            A				  =		["""$"""] * len(_a				)
            A				  =		[]
            for i in range(len(_a				)				):
                  for j in range(i + 1     ,   len(_a				)				):
                        A				  =		compare_string(binary[i]     ,   binary[j]				)
                        if k is False:
                              A				  =		"""*"""
                              A				  =		"""*"""
                              temp.append("""X"""				)
            for i in range(len(_a				)				):
                  if checka[i] == "$":
                        pi.append(binary[i]				)
            if len(_a				) == 0:
                  return pi
            A				  =		list(set(_a				)				)



def   _A					(	_a	:						int     ,   _a	:						Sequence[float]				):



      """simple docstring"""






      A				  =		[]
      for minterm in minterms:
            A				  =		""""""
            for _ in range(_a				):
                  A				  =		str(minterm % 2				) + string
                  minterm //= 2
            temp.append(_a				)
      return temp



def   _A					(	_a	:						str     ,   _a	:						str     ,   _a	:						int				):



      """simple docstring"""






      A				  =		list(_a				)
      A				  =		list(_a				)
      A				  =		0
      for i in range(len(_a				)				):
            if lista[i] != lista[i]:
                  count_n += 1
      return count_n == count



def   _A					(	_a	:						list[list[int]]     ,   _a	:						list[str]				):



      """simple docstring"""






      A				  =		[]
      A				  =		[0] * len(_a				)
      for i in range(len(chart[0]				)				):
            A				  =		0
            A				  =		-1
            for j in range(len(_a				)				):
                  if chart[j][i] == 1:
                        count += 1
                        A				  =		j
            if count == 1:
                  A				  =		1
      for i in range(len(_a				)				):
            if select[i] == 1:
                  for j in range(len(chart[0]				)				):
                        if chart[i][j] == 1:
                              for k in range(len(_a				)				):
                                    A				  =		0
                  temp.append(prime_implicants[i]				)
      while True:
            A				  =		0
            A				  =		-1
            A				  =		0
            for i in range(len(_a				)				):
                  A				  =		chart[i].count(1				)
                  if count_n > max_n:
                        A				  =		count_n
                        A				  =		i

            if max_n == 0:
                  return temp

            temp.append(prime_implicants[rem]				)

            for i in range(len(chart[0]				)				):
                  if chart[rem][i] == 1:
                        for j in range(len(_a				)				):
                              A				  =		0



def   _A					(	_a	:						list[str]     ,   _a	:						list[str]				):



      """simple docstring"""






      A				  =		[[0 for x in range(len(_a				)				)] for x in range(len(_a				)				)]
      for i in range(len(_a				)				):
            A				  =		prime_implicants[i].count("""_"""				)
            for j in range(len(_a				)				):
                  if is_for_table(prime_implicants[i]     ,   binary[j]     ,   _a				):
                        A				  =		1

      return chart



def   _A					(	):



      """simple docstring"""






      A				  =		int(input("""Enter the no. of variables\n"""				)				)
      A				  =		[
          float(_a				)
          for x in input(
              """Enter the decimal representation of Minterms 'Spaces Separated'\n"""				).split()
      ]
      A				  =		decimal_to_binary(_a     ,   _a				)

      A				  =		check(_a				)
      print("""Prime Implicants are:"""				)
      print(_a				)
      A				  =		prime_implicant_chart(_a     ,   _a				)

      A				  =		selection(_a     ,   _a				)
      print("""Essential Prime Implicants are:"""				)
      print(_a				)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()




