


lowerCAmelCase							=						"""
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

lowerCAmelCase							=						[{"""type""": """code""", """content""": INSTALL_CONTENT}]
lowerCAmelCase							=						{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}





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							=						"""sshleifer/bart-tiny-random"""
lowerCAmelCase							=						"""patrickvonplaten/t5-tiny-random"""




@require_torch
class        lowerCamelCase      (     unittest.TestCase   ):


	@cached_property
	def    A(						self):
							return AutoConfig.from_pretrained(lowercase__)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Dict  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=1)
							self.assertEqual(student.config.num_hidden_layers							,    1)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Union[str, Any]  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=lowercase__)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Tuple  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=lowercase__)
							self.assertEqual(student.config.encoder_layers							,    1)
							self.assertEqual(student.config.decoder_layers							,    self.teacher_config.encoder_layers)


	def    A(						self):
							__UpperCAmelCase						,			*__UpperCAmelCase :       Dict  						=  create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=1							,    d=1)
							self.assertEqual(student.config.encoder_layers							,    1)
							self.assertEqual(student.config.decoder_layers							,    1)


	def    A(						self):
							with self.assertRaises(lowercase__):
													create_student_by_copying_alternating_layers(lowercase__							,    tempfile.mkdtemp()							,    e=lowercase__							,    d=lowercase__)

