






import argparse
import os

import torch
from emmental.modules import ThresholdBinarizer, TopKBinarizer




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   lowercase_		:      Dict          =       args.serialization_dir
   lowercase_		:      Optional[Any]          =       args.pruning_method
   lowercase_		:      List[Any]          =       args.threshold

   lowercase_		:      str          =       torch.load(os.path.join(_UpperCamelCase  ,						"pytorch_model.bin"							)  ,						map_location="cpu"							)

   lowercase_		:      Dict          =       0  # Number of remaining (not pruned) params in the encoder
   lowercase_		:      Any          =       0  # Number of params in the encoder

   print("name".ljust(60  ,						" "							)  ,						"Remaining Weights %"  ,						"Remaining Weight"							)
   for name, param in st.items():
      if "encoder" not in name:
         continue

      if "mask_scores" in name:
         if pruning_method == "topK":
            lowercase_		:      str          =       TopKBinarizer.apply(_UpperCamelCase  ,						_UpperCamelCase							).sum().item()
         elif pruning_method == "sigmoied_threshold":
            lowercase_		:      List[Any]          =       ThresholdBinarizer.apply(_UpperCamelCase  ,						_UpperCamelCase  ,						_UpperCamelCase							).sum().item()
         elif pruning_method == "l0":
            lowercase_		:      int          =       -0.1, 1.1
            lowercase_		:      Any          =       torch.sigmoid(_UpperCamelCase							)
            lowercase_		:      Optional[int]          =       s * (r - l) + l
            lowercase_		:      Optional[int]          =       s_bar.clamp(min=0.0  ,						max=1.0							)
            lowercase_		:      Tuple          =       (mask > 0.0).sum().item()
         else:
            raise ValueError("Unknown pruning method"							)
         remaining_count += mask_ones
         print(name.ljust(60  ,						" "							)  ,						str(round(100 * mask_ones / param.numel()  ,						3							)							).ljust(20  ,						" "							)  ,						str(_UpperCamelCase							)							)
      else:
         encoder_count += param.numel()
         if "bias" in name or "LayerNorm" in name:
            remaining_count += param.numel()

   print(""							)
   print("Remaining Weights (global) %: "  ,						100 * remaining_count / encoder_count							)


if __name__ == "__main__":
 UpperCamelCase__	=     argparse.ArgumentParser()

 parser.add_argument(
     '--pruning_method',
     choices=['l0', 'topK', 'sigmoied_threshold'],
     type=str,
     required=True,
     help=(
         'Pruning Method (l0 = L0 regularization, topK = Movement pruning, sigmoied_threshold = Soft movement'
         ' pruning)'
     ),
 )
 parser.add_argument(
     '--threshold',
     type=float,
     required=False,
     help=(
         'For `topK`, it is the level of remaining weights (in %) in the fine-pruned model.'
         'For `sigmoied_threshold`, it is the threshold \tau against which the (sigmoied) scores are compared.'
         'Not needed for `l0`'
     ),
 )
 parser.add_argument(
     '--serialization_dir',
     type=str,
     required=True,
     help='Folder containing the model that was previously fine-pruned',
 )

 UpperCamelCase__	=     parser.parse_args()

 main(args)












'''simple docstring'''
UpperCamelCase__	=     (1, 153, 370, 371, 1634, 24678051, 115132219018763992565095597973971522401)
UpperCamelCase__	=     (-153, -1, 0, 1.2, 200, "A", [], {}, None)




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False

   # Initialization of sum and number of digits.
   lowercase_		:      Optional[int]          =       0
   lowercase_		:      Any          =       0
   lowercase_		:      Optional[Any]          =       n
   # Calculation of digits of the number
   while temp > 0:
      number_of_digits += 1
      temp //= 10
   # Dividing number into separate digits and find Armstrong number
   lowercase_		:      int          =       n
   while temp > 0:
      lowercase_		:      Any          =       temp % 10
      total += rem**number_of_digits
      temp //= 10
   return n == total




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False

   # Init a "histogram" of the digits
   lowercase_		:      Optional[Any]          =       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
   lowercase_		:      Tuple          =       0
   lowercase_		:      Any          =       0
   lowercase_		:      Tuple          =       n
   while temp > 0:
      lowercase_      ,						lowercase_		:      Optional[Any]          =       divmod(_UpperCamelCase  ,						10							)
      digit_histogram[rem] += 1
      digit_total += 1

   for cnt, i in zip(_UpperCamelCase  ,						range(len(_UpperCamelCase							)							)							):
      total += cnt * i**digit_total

   return n == total




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False
   lowercase_		:      List[str]          =       len(str(_UpperCamelCase							)							)  # the power that all digits will be raised to
   # check if sum of each digit multiplied expo times is equal to number
   return n == sum(int(_UpperCamelCase							) ** expo for i in str(_UpperCamelCase							)							)




def 						__SCREAMING_SNAKE_CASE   (					):


   """simple docstring"""




   lowercase_		:      Dict          =       int(input("Enter an integer to see if it is an Armstrong number: "							).strip()							)
   print(F"""{num} is {"" if armstrong_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)
   print(F"""{num} is {"" if narcissistic_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)
   print(F"""{num} is {"" if pluperfect_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()




