


'''simple docstring'''
import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


__snake_case							      =     parse(importlib.metadata.version('''torch'''))


def 			a      (			__a ,					__a ,					__a   )  ->	Dict:



					'''simple docstring'''






					if operation not in STR_OPERATION_TO_FUNC.keys():
										raise ValueError(f'''`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()   )}, received {operation}'''   )
					UpperCamelCase__   :str												= STR_OPERATION_TO_FUNC[operation]
					if isinstance(__a ,					__a   ):
										UpperCamelCase__   :Dict												= parse(importlib.metadata.version(__a   )   )
					return operation(__a ,					parse(__a   )   )







def 			a      (			__a ,					__a   )  ->	str:



					'''simple docstring'''






					return compare_versions(__a ,					__a ,					__a   )



'''simple docstring'''
from datetime import datetime

import matplotlib.pyplot as plt
import torch


def 			a      (			__a   )  ->	int:



					'''simple docstring'''






					for param in module.parameters():
										UpperCamelCase__   :Dict												= False


def 			a      (			)  ->	Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__   :List[Any]												= '''cuda''' if torch.cuda.is_available() else '''cpu'''
					if torch.backends.mps.is_available() and torch.backends.mps.is_built():
										UpperCamelCase__   :Optional[int]												= '''mps'''
					if device == "mps":
										print(
										    '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
										    ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
										    ''' with generations.'''   )
					return device


def 			a      (			__a   )  ->	Any:



					'''simple docstring'''






					UpperCamelCase__   :Dict												= plt.imshow(__a   )
					fig.axes.get_xaxis().set_visible(__a   )
					fig.axes.get_yaxis().set_visible(__a   )
					plt.show()







def 			a      (			)  ->	str:



					'''simple docstring'''






					UpperCamelCase__   :int												= datetime.now()
					UpperCamelCase__   :str												= current_time.strftime('''%H:%M:%S'''   )
					return timestamp