



'''simple docstring'''

import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						str							,		_SCREAMING_SNAKE_CASE					:						str							,		**_SCREAMING_SNAKE_CASE					:						Dict							)      ->						List[str]:







	"""simple docstring"""
	lowerCAmelCase   =     AutoConfig.from_pretrained(_SCREAMING_SNAKE_CASE							,		**_SCREAMING_SNAKE_CASE							)
	lowerCAmelCase   =     AutoModelForSeqaSeqLM.from_config(_SCREAMING_SNAKE_CASE							)
	model.save_pretrained(_SCREAMING_SNAKE_CASE							)
	AutoTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE							).save_pretrained(_SCREAMING_SNAKE_CASE							)
	return model


if __name__ == "__main__":
				fire.Fire(save_randomly_initialized_version)




'''simple docstring'''

import cmath
import math






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						float							,		_SCREAMING_SNAKE_CASE					:						float							,		_SCREAMING_SNAKE_CASE					:						float							,		_SCREAMING_SNAKE_CASE					:						float							)      ->						complex:







	"""simple docstring"""
	lowerCAmelCase   =     math.radians(_SCREAMING_SNAKE_CASE							)
	lowerCAmelCase   =     math.radians(_SCREAMING_SNAKE_CASE							)

	# Convert voltage and current to rectangular form
	lowerCAmelCase   =     cmath.rect(_SCREAMING_SNAKE_CASE							,		_SCREAMING_SNAKE_CASE							)
	lowerCAmelCase   =     cmath.rect(_SCREAMING_SNAKE_CASE							,		_SCREAMING_SNAKE_CASE							)

	# Calculate apparent power
	return voltage_rect * current_rect


if __name__ == "__main__":
				import doctest

				doctest.testmod()