




import functools
import gc
import inspect

import torch

from .imports import is_npu_available, is_xpu_available



def 						lowerCAmelCase		(		*_lowerCAmelCase							:   Optional[Any]	):




 """simple docstring"""







 if not isinstance(_lowerCAmelCase						,							_lowerCAmelCase	):
  UpperCAmelCase__							 =						list(_lowerCAmelCase	)
 for i in range(len(_lowerCAmelCase	)	):
  UpperCAmelCase__							 =						None
 gc.collect()
 if is_xpu_available():
  torch.xpu.empty_cache()
 elif is_npu_available():
  torch.npu.empty_cache()
 else:
  torch.cuda.empty_cache()
 return objects



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Exception	):




 """simple docstring"""







 UpperCAmelCase__							 =						[
     "CUDA out of memory.",  # CUDA OOM
     "cuDNN error: CUDNN_STATUS_NOT_SUPPORTED.",  # CUDNN SNAFU
     "DefaultCPUAllocator: can't allocate memory",  # CPU OOM
 ]
 if isinstance(_lowerCAmelCase						,							_lowerCAmelCase	) and len(exception.args	) == 1:
  return any(err in exception.args[0] for err in _statements	)
 return False



def 						lowerCAmelCase		(		_lowerCAmelCase							:   callable = None						,							_lowerCAmelCase							:   int = 128	):




 """simple docstring"""







 if function is None:
  return functools.partial(_lowerCAmelCase						,							starting_batch_size=_lowerCAmelCase	)

 UpperCAmelCase__							 =						starting_batch_size

 def decorator(*_lowerCAmelCase							:   Union[str, Any]						,							**_lowerCAmelCase							:   Optional[Any]	):
  nonlocal batch_size
  gc.collect()
  if is_xpu_available():
   torch.xpu.empty_cache()
  elif is_npu_available():
   torch.npu.empty_cache()
  else:
   torch.cuda.empty_cache()
  UpperCAmelCase__							 =						list(inspect.signature(_lowerCAmelCase	).parameters.keys()	)
  # Guard against user error
  if len(_lowerCAmelCase	) < (len(_lowerCAmelCase	) + 1):
   UpperCAmelCase__							 =						", ".join([F'''{arg}={value}''' for arg, value in zip(params[1:]						,							args[1:]	)]	)
   raise TypeError(
       F'''Batch size was passed into `{function.__name__}` as the first argument when called.'''
       F'''Remove this as the decorator already does so: `{function.__name__}({arg_str})`'''	)
  while True:
   if batch_size == 0:
    raise RuntimeError("No executable batch size found, reached zero."	)
   try:
    return function(_lowerCAmelCase						,							*_lowerCAmelCase						,							**_lowerCAmelCase	)
   except Exception as e:
    if should_reduce_batch_size(_lowerCAmelCase	):
     gc.collect()
     if is_xpu_available():
      torch.xpu.empty_cache()
     elif is_npu_available():
      torch.npu.empty_cache()
     else:
      torch.cuda.empty_cache()
     batch_size //= 2
    else:
     raise

 return decorator











from __future__ import annotations



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int = 4	):




 """simple docstring"""







 UpperCAmelCase__							 =						abs(_lowerCAmelCase	) or 4
 return [[1 + x + y * row_size for x in range(_lowerCAmelCase	)] for y in range(_lowerCAmelCase	)]



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 return reverse_row(transpose(_lowerCAmelCase	)	)
 # OR.. transpose(reverse_column(matrix))



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 return reverse_row(reverse_column(_lowerCAmelCase	)	)
 # OR.. reverse_column(reverse_row(matrix))



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 return reverse_column(transpose(_lowerCAmelCase	)	)
 # OR.. transpose(reverse_row(matrix))



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[list(_lowerCAmelCase	) for x in zip(*_lowerCAmelCase	)]
 return matrix



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 UpperCAmelCase__							 =						matrix[::-1]
 return matrix



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[x[::-1] for x in matrix]
 return matrix



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 for i in matrix:
  print(*_lowerCAmelCase	)


if __name__ == "__main__":
  _lowerCAmelCase						:   Optional[int]		=   make_matrix()
  print("\norigin:\n")
  print_matrix(matrix)
  print("\nrotate 90 counterclockwise:\n")
  print_matrix(rotate_aa(matrix))

  _lowerCAmelCase						:   Union[str, Any]		=   make_matrix()
  print("\norigin:\n")
  print_matrix(matrix)
  print("\nrotate 180:\n")
  print_matrix(rotate_aaa(matrix))

  _lowerCAmelCase						:   Optional[int]		=   make_matrix()
  print("\norigin:\n")
  print_matrix(matrix)
  print("\nrotate 270 counterclockwise:\n")
  print_matrix(rotate_aaa(matrix))





