






import argparse

import torch

from transformers import YosoConfig, YosoForMaskedLM







def 		_UpperCamelCase				(      UpperCamelCase_    :   List[Any]						)					->				str:

						"""simple docstring"""



						if "model" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('model.'      ,    ''						)
						if "norm1" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('norm1'      ,    'attention.output.LayerNorm'						)
						if "norm2" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('norm2'      ,    'output.LayerNorm'						)
						if "norm" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('norm'      ,    'LayerNorm'						)
						if "transformer" in orig_key:
												lowerCAmelCase__        =  orig_key.split('.'						)[0].split('_'						)[-1]
												lowerCAmelCase__        =  orig_key.replace(F"transformer_{layer_num}"      ,    F"encoder.layer.{layer_num}"						)
						if "mha.attn" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('mha.attn'      ,    'attention.self'						)
						if "mha" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('mha'      ,    'attention'						)
						if "W_q" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('W_q'      ,    'self.query'						)
						if "W_k" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('W_k'      ,    'self.key'						)
						if "W_v" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('W_v'      ,    'self.value'						)
						if "ff1" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('ff1'      ,    'intermediate.dense'						)
						if "ff2" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('ff2'      ,    'output.dense'						)
						if "ff" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('ff'      ,    'output.dense'						)
						if "mlm_class" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('mlm.mlm_class'      ,    'cls.predictions.decoder'						)
						if "mlm" in orig_key:
												lowerCAmelCase__        =  orig_key.replace('mlm'      ,    'cls.predictions.transform'						)
						if "cls" not in orig_key:
												lowerCAmelCase__        =  'yoso.' + orig_key

						return orig_key







def 		_UpperCamelCase				(      UpperCamelCase_    :   Dict      ,    UpperCamelCase_    :   Dict						)					->				Dict:

						"""simple docstring"""



						for key in orig_state_dict.copy().keys():
												lowerCAmelCase__        =  orig_state_dict.pop(UpperCamelCase_						)

												if ("pooler" in key) or ("sen_class" in key):
																		continue
												else:
																		lowerCAmelCase__        =  val

						lowerCAmelCase__        =  orig_state_dict['cls.predictions.decoder.bias']
						lowerCAmelCase__        =  torch.arange(UpperCamelCase_						).expand((1, -1)						) + 2

						return orig_state_dict







def 		_UpperCamelCase				(      UpperCamelCase_    :   List[str]      ,    UpperCamelCase_    :   Any      ,    UpperCamelCase_    :   int						)					->				int:

						"""simple docstring"""



						lowerCAmelCase__        =  torch.load(UpperCamelCase_      ,    map_location='cpu'						)['model_state_dict']
						lowerCAmelCase__        =  YosoConfig.from_json_file(UpperCamelCase_						)
						lowerCAmelCase__        =  YosoForMaskedLM(UpperCamelCase_						)

						lowerCAmelCase__        =  convert_checkpoint_helper(config.max_position_embeddings      ,    UpperCamelCase_						)

						print(model.load_state_dict(UpperCamelCase_						)						)
						model.eval()
						model.save_pretrained(UpperCamelCase_						)

						print(F"Checkpoint successfuly converted. Model saved at {pytorch_dump_path}"						)


if __name__ == "__main__":
					__snake_case      :      Tuple             =       argparse.ArgumentParser()
					# Required parameters
					parser.add_argument(
					    """--pytorch_model_path""", default=None, type=str, required=True, help="""Path to YOSO pytorch checkpoint."""
					)
					parser.add_argument(
					    """--config_file""",
					    default=None,
					    type=str,
					    required=True,
					    help="""The json file for YOSO model config.""",
					)
					parser.add_argument(
					    """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
					)
					__snake_case      :      Dict             =       parser.parse_args()
					convert_yoso_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)













from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__snake_case      :      Optional[Any]             =       TypeVar("""KEY""")
__snake_case      :      str             =       TypeVar("""VAL""")


@dataclass(frozen=__lowercase						,   slots=__lowercase)
class       __SCREAMING_SNAKE_CASE   (				Generic[KEY, VAL]):
						_SCREAMING_SNAKE_CASE		:    KEY
						_SCREAMING_SNAKE_CASE		:    VAL




class       __SCREAMING_SNAKE_CASE   (				_Item):






						def __init__(		self				):






												"""simple docstring"""
												super().__init__(_UpperCamelCase       ,  _UpperCamelCase				)







						def __bool__(		self				):






												"""simple docstring"""
												return False




__snake_case      :      int             =       _DeletedItem()


class       __SCREAMING_SNAKE_CASE   (				MutableMapping[KEY, VAL]):






						def __init__(		self       ,  _UpperCamelCase = 8       ,  _UpperCamelCase = 0.75				):






												"""simple docstring"""
												lowerCAmelCase__        =  initial_block_size
												lowerCAmelCase__        =  [None] * initial_block_size
												assert 0.0 < capacity_factor < 1.0
												lowerCAmelCase__        =  capacity_factor
												lowerCAmelCase__        =  0






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return hash(_UpperCamelCase				) % len(self._buckets				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return (ind + 1) % len(self._buckets				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self._buckets[ind]
												if not stored:
																		lowerCAmelCase__        =  _Item(_UpperCamelCase       ,  _UpperCamelCase				)
																		self._len += 1
																		return True
												elif stored.key == key:
																		lowerCAmelCase__        =  _Item(_UpperCamelCase       ,  _UpperCamelCase				)
																		return True
												else:
																		return False






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  len(self._buckets				) * self._capacity_factor
												return len(self				) >= int(_UpperCamelCase				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												if len(self._buckets				) <= self._initial_block_size:
																		return False
												lowerCAmelCase__        =  len(self._buckets				) * self._capacity_factor / 2
												return len(self				) < limit






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self._buckets
												lowerCAmelCase__        =  [None] * new_size
												lowerCAmelCase__        =  0
												for item in old_buckets:
																		if item:
																								self._add_item(item.key       ,  item.val				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self._resize(len(self._buckets				) * 2				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self._resize(len(self._buckets				) // 2				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  self._get_bucket_index(_UpperCamelCase				)
												for _ in range(len(self._buckets				)				):
																		yield ind
																		lowerCAmelCase__        =  self._get_next_ind(_UpperCamelCase				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase				):






												"""simple docstring"""
												for ind in self._iterate_buckets(_UpperCamelCase				):
																		if self._try_set(_UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase				):
																								break






						def __setitem__(		self       ,  _UpperCamelCase       ,  _UpperCamelCase				):






												"""simple docstring"""
												if self._is_full():
																		self._size_up()

												self._add_item(_UpperCamelCase       ,  _UpperCamelCase				)






						def __delitem__(		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												for ind in self._iterate_buckets(_UpperCamelCase				):
																		lowerCAmelCase__        =  self._buckets[ind]
																		if item is None:
																								raise KeyError(_UpperCamelCase				)
																		if item is _deleted:
																								continue
																		if item.key == key:
																								lowerCAmelCase__        =  _deleted
																								self._len -= 1
																								break
												if self._is_sparse():
																		self._size_down()






						def __getitem__(		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												for ind in self._iterate_buckets(_UpperCamelCase				):
																		lowerCAmelCase__        =  self._buckets[ind]
																		if item is None:
																								break
																		if item is _deleted:
																								continue
																		if item.key == key:
																								return item.val
												raise KeyError(_UpperCamelCase				)






						def __len__(		self				):






												"""simple docstring"""
												return self._len






						def __iter__(		self				):






												"""simple docstring"""
												yield from (item.key for item in self._buckets if item)







						def __repr__(		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  ' ,'.join(
												    F"{item.key}: {item.val}" for item in self._buckets if item				)
												return F"HashMap({val_string})"





