
import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


__snake_case								=  get_logger(__name__)




class 						lowercase__  (						enum.Enum  ):
	A__    :   Any				       ="""all_checks"""
	A__    :   List[str]				       ="""basic_checks"""
	A__    :   int				       ="""no_checks"""





class 						lowercase__  (						_UpperCAmelCase  ):
	pass





class 						lowercase__  (						_UpperCAmelCase  ):
	pass





class 						lowercase__  (						_UpperCAmelCase  ):
	pass





class 						lowercase__  (						_UpperCAmelCase  ):
	pass






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_=None		)		->		List[Any]:
					'''simple docstring'''


					if expected_checksums is None:
										logger.info('Unable to verify checksums.'		)
										return
					if len(set(UpperCamelCase_		) - set(UpperCamelCase_		)		) > 0:
										raise ExpectedMoreDownloadedFiles(str(set(UpperCamelCase_		) - set(UpperCamelCase_		)		)		)
					if len(set(UpperCamelCase_		) - set(UpperCamelCase_		)		) > 0:
										raise UnexpectedDownloadedFile(str(set(UpperCamelCase_		) - set(UpperCamelCase_		)		)		)
					SCREAMING_SNAKE_CASE__													= [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
					SCREAMING_SNAKE_CASE__													= ' for ' + verification_name if verification_name is not None else ''
					if len(UpperCamelCase_		) > 0:
										raise NonMatchingChecksumError(
										    F'Checksums didn\'t match{for_verification_name}:\n'
										    F'{bad_urls}\n'
										    'Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error'		)
					logger.info('All the checksums matched successfully' + for_verification_name		)




class 						lowercase__  (						_UpperCAmelCase  ):
	pass





class 						lowercase__  (						_UpperCAmelCase  ):
	pass





class 						lowercase__  (						_UpperCAmelCase  ):
	pass





class 						lowercase__  (						_UpperCAmelCase  ):
	pass






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_		)		->		Union[str, Any]:
					'''simple docstring'''


					if expected_splits is None:
										logger.info('Unable to verify splits sizes.'		)
										return
					if len(set(UpperCamelCase_		) - set(UpperCamelCase_		)		) > 0:
										raise ExpectedMoreSplits(str(set(UpperCamelCase_		) - set(UpperCamelCase_		)		)		)
					if len(set(UpperCamelCase_		) - set(UpperCamelCase_		)		) > 0:
										raise UnexpectedSplits(str(set(UpperCamelCase_		) - set(UpperCamelCase_		)		)		)
					SCREAMING_SNAKE_CASE__													= [
					    {'expected': expected_splits[name], 'recorded': recorded_splits[name]}
					    for name in expected_splits
					    if expected_splits[name].num_examples != recorded_splits[name].num_examples
					]
					if len(UpperCamelCase_		) > 0:
										raise NonMatchingSplitsSizesError(str(UpperCamelCase_		)		)
					logger.info('All the splits matched successfully.'		)






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_ = True		)		->		dict:
					'''simple docstring'''


					if record_checksum:
										SCREAMING_SNAKE_CASE__													= shaaaa()
										with open(UpperCamelCase_	,	'rb'		) as f:
															for chunk in iter(lambda: f.read(1 << 20		)	,	b''		):
																				m.update(UpperCamelCase_		)
															SCREAMING_SNAKE_CASE__													= m.hexdigest()
					else:
										SCREAMING_SNAKE_CASE__													= None
					return {"num_bytes": os.path.getsize(UpperCamelCase_		), "checksum": checksum}






def 							_lowercase							(     UpperCamelCase_		)		->		Dict:
					'''simple docstring'''


					if dataset_size and config.IN_MEMORY_MAX_SIZE:
										return dataset_size < config.IN_MEMORY_MAX_SIZE
					else:
										return False







def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		)		->		int:
					'''simple docstring'''


					def update_area_of_max_square(UpperCamelCase_	,	UpperCamelCase_		) -> int:
										# BASE CASE
										if row >= rows or col >= cols:
															return 0

										SCREAMING_SNAKE_CASE__													= update_area_of_max_square(UpperCamelCase_	,	col + 1		)
										SCREAMING_SNAKE_CASE__													= update_area_of_max_square(row + 1	,	col + 1		)
										SCREAMING_SNAKE_CASE__													= update_area_of_max_square(row + 1	,	UpperCamelCase_		)

										if mat[row][col]:
															SCREAMING_SNAKE_CASE__													= 1 + min([right, diagonal, down]		)
															SCREAMING_SNAKE_CASE__													= max(largest_square_area[0]	,	UpperCamelCase_		)
															return sub_problem_sol
										else:
															return 0

					SCREAMING_SNAKE_CASE__													= [0]
					update_area_of_max_square(0	,	0		)
					return largest_square_area[0]






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		)		->		int:
					'''simple docstring'''


					def update_area_of_max_square_using_dp_array(
					    UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		) -> int:
										if row >= rows or col >= cols:
															return 0
										if dp_array[row][col] != -1:
															return dp_array[row][col]

										SCREAMING_SNAKE_CASE__													= update_area_of_max_square_using_dp_array(UpperCamelCase_	,	col + 1	,	UpperCamelCase_		)
										SCREAMING_SNAKE_CASE__													= update_area_of_max_square_using_dp_array(row + 1	,	col + 1	,	UpperCamelCase_		)
										SCREAMING_SNAKE_CASE__													= update_area_of_max_square_using_dp_array(row + 1	,	UpperCamelCase_	,	UpperCamelCase_		)

										if mat[row][col]:
															SCREAMING_SNAKE_CASE__													= 1 + min([right, diagonal, down]		)
															SCREAMING_SNAKE_CASE__													= max(largest_square_area[0]	,	UpperCamelCase_		)
															SCREAMING_SNAKE_CASE__													= sub_problem_sol
															return sub_problem_sol
										else:
															return 0

					SCREAMING_SNAKE_CASE__													= [0]
					SCREAMING_SNAKE_CASE__													= [[-1] * cols for _ in range(UpperCamelCase_		)]
					update_area_of_max_square_using_dp_array(0	,	0	,	UpperCamelCase_		)

					return largest_square_area[0]






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		)		->		int:
					'''simple docstring'''


					SCREAMING_SNAKE_CASE__													= [[0] * (cols + 1) for _ in range(rows + 1		)]
					SCREAMING_SNAKE_CASE__													= 0
					for row in range(rows - 1	,	-1	,	-1		):
										for col in range(cols - 1	,	-1	,	-1		):
															SCREAMING_SNAKE_CASE__													= dp_array[row][col + 1]
															SCREAMING_SNAKE_CASE__													= dp_array[row + 1][col + 1]
															SCREAMING_SNAKE_CASE__													= dp_array[row + 1][col]

															if mat[row][col] == 1:
																				SCREAMING_SNAKE_CASE__													= 1 + min(UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		)
																				SCREAMING_SNAKE_CASE__													= max(dp_array[row][col]	,	UpperCamelCase_		)
															else:
																				SCREAMING_SNAKE_CASE__													= 0

					return largest_square_area






def 							_lowercase							(     UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		)		->		int:
					'''simple docstring'''


					SCREAMING_SNAKE_CASE__													= [0] * (cols + 1)
					SCREAMING_SNAKE_CASE__													= [0] * (cols + 1)
					SCREAMING_SNAKE_CASE__													= 0
					for row in range(rows - 1	,	-1	,	-1		):
										for col in range(cols - 1	,	-1	,	-1		):
															SCREAMING_SNAKE_CASE__													= current_row[col + 1]
															SCREAMING_SNAKE_CASE__													= next_row[col + 1]
															SCREAMING_SNAKE_CASE__													= next_row[col]

															if mat[row][col] == 1:
																				SCREAMING_SNAKE_CASE__													= 1 + min(UpperCamelCase_	,	UpperCamelCase_	,	UpperCamelCase_		)
																				SCREAMING_SNAKE_CASE__													= max(current_row[col]	,	UpperCamelCase_		)
															else:
																				SCREAMING_SNAKE_CASE__													= 0
										SCREAMING_SNAKE_CASE__													= current_row

					return largest_square_area


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))





