


'''simple docstring'''






from __future__ import annotations

from collections.abc import Sequence
from typing import Literal







def     UpperCamelCase_      (   A__ :       str							,   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       list(A__ )
  lowerCAmelCase_      :				List[str]      =       list(A__ )
  lowerCAmelCase_      :				Dict      =       0
  for i in range(len(A__ ) ):
    if lista[i] != lista[i]:
      count += 1
      lowerCAmelCase_      :				Tuple      =       """_"""
  if count > 1:
    return False
  else:
    return "".join(A__ )







def     UpperCamelCase_      (   A__ :       list[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[Any]      =       []
  while True:
    lowerCAmelCase_      :				Dict      =       ["""$"""] * len(A__ )
    lowerCAmelCase_      :				Tuple      =       []
    for i in range(len(A__ ) ):
      for j in range(i + 1							,   len(A__ ) ):
        lowerCAmelCase_      :				Optional[int]      =       compare_string(binary[i]							,   binary[j] )
        if k is False:
          lowerCAmelCase_      :				Optional[Any]      =       """*"""
          lowerCAmelCase_      :				int      =       """*"""
          temp.append("""X""" )
    for i in range(len(A__ ) ):
      if checka[i] == "$":
        pi.append(binary[i] )
    if len(A__ ) == 0:
      return pi
    lowerCAmelCase_      :				List[Any]      =       list(set(A__ ) )







def     UpperCamelCase_      (   A__ :       int							,   A__ :       Sequence[float] ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       []
  for minterm in minterms:
    lowerCAmelCase_      :				Optional[Any]      =       """"""
    for _ in range(A__ ):
      lowerCAmelCase_      :				Any      =       str(minterm % 2 ) + string
      minterm //= 2
    temp.append(A__ )
  return temp







def     UpperCamelCase_      (   A__ :       str							,   A__ :       str							,   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       list(A__ )
  lowerCAmelCase_      :				Dict      =       list(A__ )
  lowerCAmelCase_      :				Any      =       0
  for i in range(len(A__ ) ):
    if lista[i] != lista[i]:
      count_n += 1
  return count_n == count







def     UpperCamelCase_      (   A__ :       list[list[int]]							,   A__ :       list[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       []
  lowerCAmelCase_      :				List[Any]      =       [0] * len(A__ )
  for i in range(len(chart[0] ) ):
    lowerCAmelCase_      :				Any      =       0
    lowerCAmelCase_      :				List[str]      =       -1
    for j in range(len(A__ ) ):
      if chart[j][i] == 1:
        count += 1
        lowerCAmelCase_      :				Union[str, Any]      =       j
    if count == 1:
      lowerCAmelCase_      :				Optional[Any]      =       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__ ) ):
            lowerCAmelCase_      :				Dict      =       0
      temp.append(prime_implicants[i] )
  while True:
    lowerCAmelCase_      :				int      =       0
    lowerCAmelCase_      :				Tuple      =       -1
    lowerCAmelCase_      :				List[str]      =       0
    for i in range(len(A__ ) ):
      lowerCAmelCase_      :				List[Any]      =       chart[i].count(1 )
      if count_n > max_n:
        lowerCAmelCase_      :				Optional[Any]      =       count_n
        lowerCAmelCase_      :				List[str]      =       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__ ) ):
          lowerCAmelCase_      :				Any      =       0







def     UpperCamelCase_      (   A__ :       list[str]							,   A__ :       list[str] ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[Any]      =       [[0 for x in range(len(A__ ) )] for x in range(len(A__ ) )]
  for i in range(len(A__ ) ):
    lowerCAmelCase_      :				str      =       prime_implicants[i].count("""_""" )
    for j in range(len(A__ ) ):
      if is_for_table(prime_implicants[i]							,   binary[j]							,   A__ ):
        lowerCAmelCase_      :				List[Any]      =       1

  return chart







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				str      =       int(input("""Enter the no. of variables\n""" ) )
  lowerCAmelCase_      :				Optional[int]      =       [
      float(A__ )
      for x in input(
          """Enter the decimal representation of Minterms 'Spaces Separated'\n""" ).split()
  ]
  lowerCAmelCase_      :				List[str]      =       decimal_to_binary(A__							,   A__ )

  lowerCAmelCase_      :				List[Any]      =       check(A__ )
  print("""Prime Implicants are:""" )
  print(A__ )
  lowerCAmelCase_      :				List[str]      =       prime_implicant_chart(A__							,   A__ )

  lowerCAmelCase_      :				Any      =       selection(A__							,   A__ )
  print("""Essential Prime Implicants are:""" )
  print(A__ )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()







'''simple docstring'''






from typing import List

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


__A :  Dict    							=				logging.get_logger(__name__)

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






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= 'efficientformer'

    def __init__(       self   :  Any   ,						lowerCamelCase   :  List[int] = [3, 2, 6, 4]   ,						lowerCamelCase   :  List[int] = [48, 96, 2_24, 4_48]   ,						lowerCamelCase   :  List[bool] = [True, True, True, True]   ,						lowerCamelCase   :  int = 4_48   ,						lowerCamelCase   :  int = 32   ,						lowerCamelCase   :  int = 4   ,						lowerCamelCase   :  int = 7   ,						lowerCamelCase   :  int = 5   ,						lowerCamelCase   :  int = 8   ,						lowerCamelCase   :  int = 4   ,						lowerCamelCase   :  float = 0.0   ,						lowerCamelCase   :  int = 16   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 2   ,						lowerCamelCase   :  int = 1   ,						lowerCamelCase   :  float = 0.0   ,						lowerCamelCase   :  int = 1   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  float = 1E-5   ,						lowerCamelCase   :  str = "gelu"   ,						lowerCamelCase   :  float = 0.02   ,						lowerCamelCase   :  float = 1E-12   ,						lowerCamelCase   :  int = 2_24   ,						lowerCamelCase   :  float = 1E-05   ,						**lowerCamelCase   :  int   ,						)       ->  None:
      super().__init__(**lowerCamelCase		)

      lowerCAmelCase_      :				List[str]      =       hidden_act
      lowerCAmelCase_      :				List[Any]      =       hidden_dropout_prob
      lowerCAmelCase_      :				Any      =       hidden_sizes
      lowerCAmelCase_      :				List[Any]      =       num_hidden_layers
      lowerCAmelCase_      :				Union[str, Any]      =       num_attention_heads
      lowerCAmelCase_      :				Tuple      =       initializer_range
      lowerCAmelCase_      :				Union[str, Any]      =       layer_norm_eps
      lowerCAmelCase_      :				int      =       patch_size
      lowerCAmelCase_      :				List[str]      =       num_channels
      lowerCAmelCase_      :				Dict      =       depths
      lowerCAmelCase_      :				int      =       mlp_expansion_ratio
      lowerCAmelCase_      :				Optional[Any]      =       downsamples
      lowerCAmelCase_      :				Union[str, Any]      =       dim
      lowerCAmelCase_      :				Union[str, Any]      =       key_dim
      lowerCAmelCase_      :				str      =       attention_ratio
      lowerCAmelCase_      :				Tuple      =       resolution
      lowerCAmelCase_      :				Optional[Any]      =       pool_size
      lowerCAmelCase_      :				str      =       downsample_patch_size
      lowerCAmelCase_      :				Dict      =       downsample_stride
      lowerCAmelCase_      :				str      =       downsample_pad
      lowerCAmelCase_      :				str      =       drop_path_rate
      lowerCAmelCase_      :				List[Any]      =       num_metaad_blocks
      lowerCAmelCase_      :				Tuple      =       distillation
      lowerCAmelCase_      :				Optional[Any]      =       use_layer_scale
      lowerCAmelCase_      :				Dict      =       layer_scale_init_value
      lowerCAmelCase_      :				Optional[Any]      =       image_size
      lowerCAmelCase_      :				Optional[Any]      =       batch_norm_eps



