import math
def 					snake_case						(__lowercase						)       ->       str:

						'''simple docstring'''



						if number == 0:
												_snake_case						:     Dict				=    "Zero"
												return words
						else:
												_snake_case						:     List[str]				=    math.logaa(__lowercase						)
												_snake_case						:     Any				=    digits + 1
												_snake_case						:     List[str]				=    {}
												_snake_case						:     str				=    ""
												_snake_case						:     List[str]				=    "One"
												_snake_case						:     Optional[int]				=    "Two"
												_snake_case						:     List[str]				=    "Three"
												_snake_case						:     Union[str, Any]				=    "Four"
												_snake_case						:     Any				=    "Five"
												_snake_case						:     Optional[Any]				=    "Six"
												_snake_case						:     Any				=    "Seven"
												_snake_case						:     Union[str, Any]				=    "Eight"
												_snake_case						:     Any				=    "Nine"

												_snake_case						:     Union[str, Any]				=    {}
												_snake_case						:     Tuple				=    ""
												_snake_case						:     str				=    "Twenty"
												_snake_case						:     List[str]				=    "Thirty"
												_snake_case						:     Any				=    "Forty"
												_snake_case						:     Tuple				=    "Fifty"
												_snake_case						:     Dict				=    "Sixty"
												_snake_case						:     Dict				=    "Seventy"
												_snake_case						:     str				=    "Eighty"
												_snake_case						:     str				=    "Ninety"

												_snake_case						:     Optional[Any]				=    {}
												_snake_case						:     Any				=    "Ten"
												_snake_case						:     int				=    "Eleven"
												_snake_case						:     Optional[int]				=    "Twelve"
												_snake_case						:     int				=    "Thirteen"
												_snake_case						:     Optional[int]				=    "Fourteen"
												_snake_case						:     Union[str, Any]				=    "Fifteen"
												_snake_case						:     Union[str, Any]				=    "Sixteen"
												_snake_case						:     Tuple				=    "Seventeen"
												_snake_case						:     str				=    "Eighteen"
												_snake_case						:     List[Any]				=    "Nineteen"

												_snake_case						:     str				=    {}
												_snake_case						:     Any				=    "Hundred,"
												_snake_case						:     Union[str, Any]				=    "Thousand,"
												_snake_case						:     str				=    "Lakh,"
												_snake_case						:     List[Any]				=    "Crore,"

												_snake_case						:     Union[str, Any]				=    number
												_snake_case						:     Dict				=    ""
												_snake_case						:     Dict				=    0
												_snake_case						:     str				=    int(__lowercase						)
												while counter < digits:
																		_snake_case						:     Any				=    temp_num % 10
																		if counter % 2 == 0:
																								_snake_case						:     Union[str, Any]				=    ""
																								if counter in placevalue and current != 0:
																														_snake_case						:     Union[str, Any]				=    placevalue[counter]
																								if counter == 2:
																														_snake_case						:     Optional[Any]				=    singles[current] + addition + words
																								elif counter == 0:
																														if ((temp_num % 100) // 10) == 1:
																																				_snake_case						:     List[str]				=    teens[current] + addition + words
																																				_snake_case						:     Union[str, Any]				=    temp_num // 10
																																				counter += 1
																														else:
																																				_snake_case						:     Optional[int]				=    singles[current] + addition + words

																								else:
																														_snake_case						:     Union[str, Any]				=    doubles[current] + addition + words

																		else:
																								if counter == 1:
																														if current == 1:
																																				_snake_case						:     Any				=    teens[number % 10] + words
																														else:
																																				_snake_case						:     Union[str, Any]				=    ""
																																				if counter in placevalue:
																																										_snake_case						:     Any				=    placevalue[counter]
																																				_snake_case						:     Any				=    doubles[current] + addition + words
																								else:
																														_snake_case						:     Dict				=    ""
																														if counter in placevalue:
																																				if current == 0 and ((temp_num % 100) // 10) == 0:
																																										_snake_case						:     Any				=    ""
																																				else:
																																										_snake_case						:     int				=    placevalue[counter]
																														if ((temp_num % 100) // 10) == 1:
																																				_snake_case						:     Tuple				=    teens[current] + addition + words
																																				_snake_case						:     Dict				=    temp_num // 10
																																				counter += 1
																														else:
																																				_snake_case						:     Tuple				=    singles[current] + addition + words
																		counter += 1
																		_snake_case						:     Tuple				=    temp_num // 10
						return words


if __name__ == "__main__":
				import doctest

				doctest.testmod()
import argparse
import os

import torch
from emmental.modules import ThresholdBinarizer, TopKBinarizer
def 					snake_case						(__lowercase						)       ->       Optional[Any]:

						'''simple docstring'''



						_snake_case						:     List[str]				=    args.serialization_dir
						_snake_case						:     Union[str, Any]				=    args.pruning_method
						_snake_case						:     Any				=    args.threshold

						_snake_case						:     Union[str, Any]				=    torch.load(os.path.join(__lowercase					,			"pytorch_model.bin"						)					,			map_location="cpu"						)

						_snake_case						:     Dict				=    0  # Number of remaining (not pruned) params in the encoder
						_snake_case						:     int				=    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":
																								_snake_case						:     Union[str, Any]				=    TopKBinarizer.apply(__lowercase					,			__lowercase						).sum().item()
																		elif pruning_method == "sigmoied_threshold":
																								_snake_case						:     str				=    ThresholdBinarizer.apply(__lowercase					,			__lowercase					,			__lowercase						).sum().item()
																		elif pruning_method == "l0":
																								_snake_case				,_snake_case						:     List[str]				=    -0.1, 1.1
																								_snake_case						:     Any				=    torch.sigmoid(__lowercase						)
																								_snake_case						:     str				=    s * (r - l) + l
																								_snake_case						:     Dict				=    s_bar.clamp(min=0.0					,			max=1.0						)
																								_snake_case						:     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(__lowercase						)						)
												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__":
				__SCREAMING_SNAKE_CASE						:    str     = 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',
				)

				__SCREAMING_SNAKE_CASE						:    Any     = parser.parse_args()

				main(args)