
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


_UpperCAmelCase      :				Tuple          = "sshleifer/bart-tiny-random"
_UpperCAmelCase      :				List[str]          = "patrickvonplaten/t5-tiny-random"


@require_torch
class        lowercase      (	unittest.TestCase     ):



		@cached_property
		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				return AutoConfig.from_pretrained(A_ )



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				UpperCamelCase			,						*UpperCamelCase						=  create_student_by_copying_alternating_layers(A_       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1 )
				self.assertEqual(student.config.num_hidden_layers       ,   1 )



		def __UpperCamelCase				(				self )						->      Any:
				"""simple docstring"""
				UpperCamelCase			,						*UpperCamelCase						=  create_student_by_copying_alternating_layers(A_       ,   tempfile.mkdtemp()       ,   e=1       ,   d=A_ )



		def __UpperCamelCase				(				self )						->      Any:
				"""simple docstring"""
				UpperCamelCase			,						*UpperCamelCase						=  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 __UpperCamelCase				(				self )						->      Tuple:
				"""simple docstring"""
				UpperCamelCase			,						*UpperCamelCase						=  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 __UpperCamelCase				(				self )						->      List[str]:
				"""simple docstring"""
				with self.assertRaises(A_ ):
						create_student_by_copying_alternating_layers(A_       ,   tempfile.mkdtemp()       ,   e=A_       ,   d=A_ )




import re


def    A (      lowercase				)     ->						str:
		'''simple docstring'''

		if len(re.findall('[ATCG]'					, lowercase				)				) != len(lowercase				):
				raise ValueError('Invalid Strand'				)

		return dna.translate(dna.maketrans('ATCG'					, 'TAGC'				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
