


"""simple docstring"""







from __future__ import annotations




def    UpperCAmelCase__       (lowerCAmelCase_ = 4   ):




					'''simple docstring'''


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




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


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




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


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




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


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




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				[list(lowerCAmelCase_   ) for x in zip(*lowerCAmelCase_   )]
					return matrix




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				matrix[::-1]
					return matrix




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


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




def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					for i in matrix:
										print(*lowerCAmelCase_   )


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

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

		a__				:							List[Any]						=     make_matrix()
		print('''\norigin:\n''')
		print_matrix(matrix)
		print('''\nrotate 270 counterclockwise:\n''')
		print_matrix(rotate_aaa(matrix))




"""simple docstring"""


import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A     :   Dict			    =			logging.getLogger(__name__)
@dataclass
class   _UpperCamelCase  (   lowerCAmelCase__		):
							'''simple docstring'''







							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=0.0       ,metadata={"""help""": """The label smoothing epsilon to apply (if not zero)."""}		)
							__UpperCAmelCase						:    bool				      =field(default=lowerCAmelCase__       ,metadata={"""help""": """Whether to SortishSamler or not."""}		)
							__UpperCAmelCase						:    bool				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Whether to use generate to calculate generative metrics (ROUGE, BLEU)."""}		)
							__UpperCAmelCase						:    bool				      =field(default=lowerCAmelCase__       ,metadata={"""help""": """whether to use adafactor"""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Encoder layer dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Decoder layer dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(default=lowerCAmelCase__       ,metadata={"""help""": """Dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[float]				      =field(
							    default=lowerCAmelCase__       ,metadata={"""help""": """Attention dropout probability. Goes into model.config."""}		)
							__UpperCAmelCase						:    Optional[str]				      =field(
							    default="""linear"""       ,metadata={"""help""": F'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()		)}'''}       ,)




