




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase   :	Optional[int]       =    {
    """configuration_clap""": [
        """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ClapAudioConfig""",
        """ClapConfig""",
        """ClapTextConfig""",
    ],
    """processing_clap""": ["""ClapProcessor"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase   :	Any       =    [
	    """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """ClapModel""",
	    """ClapPreTrainedModel""",
	    """ClapTextModel""",
	    """ClapTextModelWithProjection""",
	    """ClapAudioModel""",
	    """ClapAudioModelWithProjection""",
	]
	_lowerCamelCase   :	Dict       =    ["""ClapFeatureExtractor"""]

if TYPE_CHECKING:
	from .configuration_clap import (
	    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
	    ClapAudioConfig,
	    ClapConfig,
	    ClapTextConfig,
	)
	from .processing_clap import ClapProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_clap import ClapFeatureExtractor
		from .modeling_clap import (
		    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    ClapAudioModel,
		    ClapAudioModelWithProjection,
		    ClapModel,
		    ClapPreTrainedModel,
		    ClapTextModel,
		    ClapTextModelWithProjection,
		)


else:
	import sys

	_lowerCamelCase   :	Dict       =    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




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						:  Dict									=			"""sshleifer/bart-tiny-random"""
_UpperCAmelCase						:  Optional[Any]									=			"""patrickvonplaten/t5-tiny-random"""







@require_torch
class 					lowercase							(			unittest.TestCase     ):




				@cached_property
				def        a				(   self			):
											return AutoConfig.from_pretrained(snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=1			)
											self.assertEqual(student.config.num_hidden_layers ,  1			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)
											self.assertEqual(student.config.encoder_layers ,  1			)
											self.assertEqual(student.config.decoder_layers ,  self.teacher_config.encoder_layers			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  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(snake_case			):
																		create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=snake_case ,  d=snake_case			)




