

"""simple docstring"""





def   __SCREAMING_SNAKE_CASE  (      A_ ):
	lowerCAmelCase__	:						Dict  				=	current_set.copy()
	for row_index, row in enumerate(__a ):
		lowerCAmelCase__	:						int  				=	row[0]
		for column_index, column in enumerate(__a ):
			if magnitude == 0:
				lowerCAmelCase__	:						str  				=	column
				continue
			lowerCAmelCase__	:						Union[str, Any]  				=	column / magnitude
    # Subtract to cancel term
	lowerCAmelCase__	:						Optional[Any]  				=	current_set[0]
	lowerCAmelCase__	:						Optional[int]  				=	[first_row]
	lowerCAmelCase__	:						Union[str, Any]  				=	current_set[1::]
	for row in current_set:
		lowerCAmelCase__	:						Optional[Any]  				=	[]
		# If first term is 0, it is already in form we want, so we preserve it
		if row[0] == 0:
			final_set.append(__a )
			continue
		for column_index in range(len(__a ) ):
			temp_row.append(first_row[column_index] - row[column_index] )
		final_set.append(__a )
	# Create next recursion iteration set
	if len(final_set[0] ) != 3:
		lowerCAmelCase__	:						str  				=	final_set[0]
		lowerCAmelCase__	:						Optional[int]  				=	[]
		lowerCAmelCase__	:						int  				=	[]
		for row in final_set[1::]:
			current_first_column.append(row[0] )
			next_iteration.append(row[1::] )
		lowerCAmelCase__	:						Union[str, Any]  				=	simplify(__a )
		for i in range(len(__a ) ):
			resultant[i].insert(0						,     current_first_column[i] )
		resultant.insert(0						,     __a )
		lowerCAmelCase__	:						Tuple  				=	resultant
	return final_set

def   __SCREAMING_SNAKE_CASE  (      A_ ):






	if len(__a ) == 0:
		raise IndexError('''solve_simultaneous() requires n lists of length n+1''' )
	lowerCAmelCase__	:						int  				=	len(__a ) + 1
	if any(len(__a ) != _length for item in equations ):
		raise IndexError('''solve_simultaneous() requires n lists of length n+1''' )
	for row in equations:
		if any(not isinstance(__a						,     (int, float) ) for column in row ):
			raise ValueError('''solve_simultaneous() requires lists of integers''' )
	if len(__a ) == 1:
		return [equations[0][-1] / equations[0][0]]
	lowerCAmelCase__	:						List[Any]  				=	equations.copy()
	if any(0 in row for row in data_set ):
		lowerCAmelCase__	:						Optional[Any]  				=	data_set.copy()
		lowerCAmelCase__	:						Optional[Any]  				=	[]
		for row_index, row in enumerate(__a ):
			if 0 not in row:
				lowerCAmelCase__	:						Any  				=	data_set.pop(__a )
				break
		if not full_row:
			raise ValueError('''solve_simultaneous() requires at least 1 full equation''' )
		data_set.insert(0						,     __a )
	lowerCAmelCase__	:						Optional[int]  				=	data_set.copy()
	lowerCAmelCase__	:						int  				=	simplify(__a )
	lowerCAmelCase__	:						Optional[int]  				=	simplified[::-1]
	lowerCAmelCase__	:						list  				=	[]
	for row in simplified:
		lowerCAmelCase__	:						Dict  				=	row[-1]
		if not solutions:
			if row[-2] == 0:
				solutions.append(0 )
				continue
			solutions.append(current_solution / row[-2] )
			continue
		lowerCAmelCase__	:						List[str]  				=	row.copy()[: len(__a ) - 1 :]
		while temp_row[0] == 0:
			temp_row.pop(0 )
		if len(__a ) == 0:
			solutions.append(0 )
			continue
		lowerCAmelCase__	:						Any  				=	temp_row[1::]
		lowerCAmelCase__	:						Dict  				=	temp_row[::-1]
		for column_index, column in enumerate(__a ):
			current_solution -= column * solutions[column_index]
		solutions.append(__a )
	lowerCAmelCase__	:						Any  				=	[]
	for item in solutions:
		final.append(float(round(__a						,     5 ) ) )
	return final[::-1]


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							__UpperCamelCase  :      List[Any]							      =		[
							    [2, 1, 1, 1, 1, 4],
							    [1, 2, 1, 1, 1, 5],
							    [1, 1, 2, 1, 1, 6],
							    [1, 1, 1, 2, 1, 7],
							    [1, 1, 1, 1, 2, 8],
							]
							print(solve_simultaneous(eq))
							print(solve_simultaneous([[4, 2]]))












"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


UpperCAmelCase_   : Any   			= logging.get_logger(__name__)




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      def __init__(						self     :  Union[str, Any]						,	*lowercase_     :  List[str]						,	**lowercase_     :  List[str]):




          '''simple docstring'''


          warnings.warn(
              '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
              ''' Please use SegformerImageProcessor instead.'''						,	lowercase_						,	)
          super().__init__(*lowercase_						,	**lowercase_)


