


import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


a : Tuple		=				"sshleifer/bart-tiny-random"
a : List[str]		=				"patrickvonplaten/t5-tiny-random"
@require_torch
class 	lowerCamelCase_       (				unittest.TestCase				):



		'''simple docstring'''







		@cached_property
		def A      (				self						)   ->			int:







					'''simple docstring'''

					return AutoConfig.from_pretrained(A_						)






		def A      (				self						)   ->			Dict:







					'''simple docstring'''

					__lowercase					, *__lowercase 					=   create_student_by_copying_alternating_layers(A_ ,       tempfile.mkdtemp() ,       e=1 ,       d=1						)
					self.assertEqual(student.config.num_hidden_layers ,       1						)






		def A      (				self						)   ->			Any:







					'''simple docstring'''

					__lowercase					, *__lowercase 					=   create_student_by_copying_alternating_layers(A_ ,       tempfile.mkdtemp() ,       e=1 ,       d=A_						)






		def A      (				self						)   ->			Any:







					'''simple docstring'''

					__lowercase					, *__lowercase 					=   create_student_by_copying_alternating_layers(A_ ,       tempfile.mkdtemp() ,       e=1 ,       d=A_						)
					self.assertEqual(student.config.encoder_layers ,       1						)
					self.assertEqual(student.config.decoder_layers ,       self.teacher_config.encoder_layers						)






		def A      (				self						)   ->			Tuple:







					'''simple docstring'''

					__lowercase					, *__lowercase 					=   create_student_by_copying_alternating_layers(A_ ,       tempfile.mkdtemp() ,       e=1 ,       d=1						)
					self.assertEqual(student.config.encoder_layers ,       1						)
					self.assertEqual(student.config.decoder_layers ,       1						)






		def A      (				self						)   ->			List[str]:







					'''simple docstring'''

					with self.assertRaises(A_						):
								create_student_by_copying_alternating_layers(A_ ,       tempfile.mkdtemp() ,       e=A_ ,       d=A_						)






def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   len(_UpperCamelCase  )
			__lowercase 					=   len(matrix[0]  )
			__lowercase 					=   min(_UpperCamelCase       ,			_UpperCamelCase  )

			for row in range(_UpperCamelCase  ):
						# Check if diagonal element is not zero
						if matrix[row][row] != 0:
									# Eliminate all the elements below the diagonal
									for col in range(row + 1       ,			_UpperCamelCase  ):
												__lowercase 					=   matrix[col][row] / matrix[row][row]
												for i in range(_UpperCamelCase       ,			_UpperCamelCase  ):
															matrix[col][i] -= multiplier * matrix[row][i]
						else:
									# Find a non-zero diagonal element to swap rows
									__lowercase 					=   True
									for i in range(row + 1       ,			_UpperCamelCase  ):
												if matrix[i][row] != 0:
															__lowercase					, __lowercase 					=   matrix[i], matrix[row]
															__lowercase 					=   False
															break
									if reduce:
												rank -= 1
												for i in range(_UpperCamelCase  ):
															__lowercase 					=   matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
									row -= 1

			return rank


if __name__ == "__main__":
	import doctest

	doctest.testmod()


