import math

import tensorflow as tf
from packaging import version






def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							tf.convert_to_tensor(snake_case  )
							_lowerCAmelCase							=							0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0  )     , x.dtype  )  ))

							return x * cdf






def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							tf.convert_to_tensor(snake_case  )
							_lowerCAmelCase							=							tf.cast(math.pi     , x.dtype  )
							_lowerCAmelCase							=							tf.cast(0.04_47_15     , x.dtype  )
							_lowerCAmelCase							=							0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi  ) * (x + coeff * tf.pow(snake_case     , 3  ))  ))

							return x * cdf






def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							tf.convert_to_tensor(snake_case  )

							return x * tf.tanh(tf.math.softplus(snake_case  )  )






def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							tf.convert_to_tensor(snake_case  )
							_lowerCAmelCase							=							tf.cast(0.04_47_15     , x.dtype  )
							_lowerCAmelCase							=							tf.cast(0.79_78_84_56_08     , x.dtype  )

							return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)  ))






def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							tf.convert_to_tensor(snake_case  )
							_lowerCAmelCase							=							tf.cast(1.7_02     , x.dtype  )
							return x * tf.math.sigmoid(coeff * x  )






def _lowerCamelCase  (		snake_case  ):
							return tf.clip_by_value(_gelu(snake_case  )     , -10     , 10  )






def _lowerCamelCase  (		snake_case     , snake_case=-1  ):
							_lowerCAmelCase			,		_lowerCAmelCase							=							tf.split(snake_case     , 2     , axis=snake_case  )
							return a * tf.math.sigmoid(snake_case  )


if version.parse(tf.version.VERSION) >= version.parse('''2.4'''):






				def _lowerCamelCase  (		snake_case  ):
											return tf.keras.activations.gelu(snake_case     , approximate=snake_case  )

				_lowercase:	Tuple       			=		tf.keras.activations.gelu



				_lowercase:	int       			=		approximate_gelu_wrap
else:
				_lowercase:	Union[str, Any]       			=		_gelu
				_lowercase:	Optional[int]       			=		_gelu_new


_lowercase:	Optional[Any]       			=		{
    '''gelu''': gelu,
    '''gelu_10''': gelu_aa,
    '''gelu_fast''': gelu_fast,
    '''gelu_new''': gelu_new,
    '''glu''': glu,
    '''mish''': mish,
    '''quick_gelu''': quick_gelu,
    '''relu''': tf.keras.activations.relu,
    '''sigmoid''': tf.keras.activations.sigmoid,
    '''silu''': tf.keras.activations.swish,
    '''swish''': tf.keras.activations.swish,
    '''tanh''': tf.keras.activations.tanh,
}






def _lowerCamelCase  (		snake_case  ):
							if activation_string in ACTaFN:
														return ACTaFN[activation_string]
							else:
														raise KeyError(F'function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()  )}'  )







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


_lowercase:	str       			=		'''sshleifer/bart-tiny-random'''
_lowercase:	Union[str, Any]       			=		'''patrickvonplaten/t5-tiny-random'''



@require_torch
class        lowerCamelCase__				(   unittest.TestCase				):





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





			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=1						)
										self.assertEqual(student.config.num_hidden_layers  ,  1						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							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   SCREAMING_SNAKE_CASE__     (       self	:	str						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							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   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										with self.assertRaises(lowercase__						):
																	create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=lowercase__  ,  d=lowercase__						)






