
'''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					:    Tuple           = 'patrickvonplaten/t5-tiny-random'


@require_torch
class 			SCREAMING_SNAKE_CASE__      (     unittest.TestCase):







				@cached_property
				def 						UpperCAmelCase_    (       self     )->		Any:







											'''simple docstring'''






											return AutoConfig.from_pretrained(A_     )







				def 						UpperCAmelCase_    (       self     )->		Any:







											'''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     )->		str:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self     )->		Optional[int]:







											'''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     )->		Optional[int]:







											'''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     )->		int:







											'''simple docstring'''






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






'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase					:    Union[str, Any]           = {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    List[Any]           = [
						    'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'GitForCausalLM',
						    'GitModel',
						    'GitPreTrainedModel',
						    'GitVisionModel',
						]

if TYPE_CHECKING:
						from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
						from .processing_git import GitProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_git import (
												    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GitForCausalLM,
												    GitModel,
												    GitPreTrainedModel,
												    GitVisionModel,
												)

else:
						import sys

						lowerCAmelCase					:    Optional[Any]           = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




