




"""simple docstring"""

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


_lowerCamelCase  :			Tuple        =       'sshleifer/bart-tiny-random'
_lowerCamelCase  :			Optional[Any]        =       'patrickvonplaten/t5-tiny-random'

@require_torch
class        lowercase      (    unittest.TestCase):







				@cached_property
				def 					a_  (							self   :					int       ):



					"""simple docstring"""

					return AutoConfig.from_pretrained(_lowerCamelCase       )







				def 					a_  (							self   :					Tuple       ):



					"""simple docstring"""

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







				def 					a_  (							self   :					int       ):



					"""simple docstring"""

					A_   , *A_  :				Dict	   =		create_student_by_copying_alternating_layers(_lowerCamelCase      ,     tempfile.mkdtemp()      ,     e=1      ,     d=_lowerCamelCase       )







				def 					a_  (							self   :					List[str]       ):



					"""simple docstring"""

					A_   , *A_  :				Optional[int]	   =		create_student_by_copying_alternating_layers(_lowerCamelCase      ,     tempfile.mkdtemp()      ,     e=1      ,     d=_lowerCamelCase       )
					self.assertEqual(student.config.encoder_layers      ,     1       )
					self.assertEqual(student.config.decoder_layers      ,     self.teacher_config.encoder_layers       )







				def 					a_  (							self   :					Optional[int]       ):



					"""simple docstring"""

					A_   , *A_  :				List[str]	   =		create_student_by_copying_alternating_layers(_lowerCamelCase      ,     tempfile.mkdtemp()      ,     e=1      ,     d=1       )
					self.assertEqual(student.config.encoder_layers      ,     1       )
					self.assertEqual(student.config.decoder_layers      ,     1       )







				def 					a_  (							self   :					Optional[int]       ):



					"""simple docstring"""

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











"""simple docstring"""

from typing import Any

import numpy as np

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	return np.array_equal(_UpperCAmelCase  ,      matrix.conjugate().T	)

def 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	A_  :				Tuple	   =		v.conjugate().T
	A_  :				Tuple	   =		v_star.dot(_UpperCAmelCase	)
	assert isinstance(_UpperCAmelCase  ,      np.ndarray	)
	return (v_star_dot.dot(_UpperCAmelCase	)) / (v_star.dot(_UpperCAmelCase	))

def 		lowercase_      (		):




	"""simple docstring"""






	A_  :				Optional[Any]	   =		np.array([[2, 2 + 1J, 4], [2 - 1J, 3, 1J], [4, -1J, 1]]	)
	A_  :				str	   =		np.array([[1], [2], [3]]	)
	assert is_hermitian(_UpperCAmelCase	), f"""{a} is not hermitian."""
	print(rayleigh_quotient(_UpperCAmelCase  ,      _UpperCAmelCase	)	)

	A_  :				int	   =		np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]	)
	assert is_hermitian(_UpperCAmelCase	), f"""{a} is not hermitian."""
	assert rayleigh_quotient(_UpperCAmelCase  ,      _UpperCAmelCase	) == float(3	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		tests()





