






"""simple docstring"""
import unittest

from transformers.image_processing_utils import get_size_dict



class 		a_      (	unittest.TestCase ):







      '''simple docstring'''

      def 			a__							(self					):

       '''simple docstring'''



       lowerCamelCase__     :			Dict     				=						{'wrong_key': 2_2_4}
       with self.assertRaises(_lowerCamelCase					):
        get_size_dict(_lowerCamelCase					)

       lowerCamelCase__     :			Tuple     				=						{'height': 2_2_4}
       with self.assertRaises(_lowerCamelCase					):
        get_size_dict(_lowerCamelCase					)

       lowerCamelCase__     :			Optional[int]     				=						{'width': 2_2_4, 'shortest_edge': 2_2_4}
       with self.assertRaises(_lowerCamelCase					):
        get_size_dict(_lowerCamelCase					)

       # Test a dict with the correct keys is returned as is
       lowerCamelCase__     :			Tuple     				=						{'height': 2_2_4, 'width': 2_2_4}
       lowerCamelCase__     :			Tuple     				=						get_size_dict(_lowerCamelCase					)
       self.assertEqual(_lowerCamelCase,     _lowerCamelCase					)

       lowerCamelCase__     :			Dict     				=						{'shortest_edge': 2_2_4}
       lowerCamelCase__     :			Dict     				=						get_size_dict(_lowerCamelCase					)
       self.assertEqual(_lowerCamelCase,     {'shortest_edge': 2_2_4}					)

       lowerCamelCase__     :			List[str]     				=						{'longest_edge': 2_2_4, 'shortest_edge': 2_2_4}
       lowerCamelCase__     :			int     				=						get_size_dict(_lowerCamelCase					)
       self.assertEqual(_lowerCamelCase,     {'longest_edge': 2_2_4, 'shortest_edge': 2_2_4}					)

       # Test a single int value which  represents (size, size)
       lowerCamelCase__     :			Any     				=						get_size_dict(2_2_4					)
       self.assertEqual(_lowerCamelCase,     {'height': 2_2_4, 'width': 2_2_4}					)

       # Test a single int value which represents the shortest edge
       lowerCamelCase__     :			int     				=						get_size_dict(2_2_4,     default_to_square=_lowerCamelCase					)
       self.assertEqual(_lowerCamelCase,     {'shortest_edge': 2_2_4}					)

       # Test a tuple of ints which represents (height, width)
       lowerCamelCase__     :			Optional[Any]     				=						get_size_dict((1_5_0, 2_0_0)					)
       self.assertEqual(_lowerCamelCase,     {'height': 1_5_0, 'width': 2_0_0}					)

       # Test a tuple of ints which represents (width, height)
       lowerCamelCase__     :			Optional[int]     				=						get_size_dict((1_5_0, 2_0_0),     height_width_order=_lowerCamelCase					)
       self.assertEqual(_lowerCamelCase,     {'height': 2_0_0, 'width': 1_5_0}					)

       # Test an int representing the shortest edge and max_size which represents the longest edge
       lowerCamelCase__     :			List[str]     				=						get_size_dict(2_2_4,     max_size=2_5_6,     default_to_square=_lowerCamelCase					)
       self.assertEqual(_lowerCamelCase,     {'shortest_edge': 2_2_4, 'longest_edge': 2_5_6}					)

       # Test int with default_to_square=True and max_size fails
       with self.assertRaises(_lowerCamelCase					):
        get_size_dict(2_2_4,     max_size=2_5_6,     default_to_square=_lowerCamelCase					)


"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


a							=logging.get_logger(__name__)

a							={
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}






class    __UpperCAmelCase						(	__lowerCAmelCase	):
				A__      :   Optional[int]  							=       '''mpnet'''

				def __init__(      self	, _lowerCamelCase=30527	, _lowerCamelCase=768	, _lowerCamelCase=12	, _lowerCamelCase=12	, _lowerCamelCase=3072	, _lowerCamelCase="gelu"	, _lowerCamelCase=0.1	, _lowerCamelCase=0.1	, _lowerCamelCase=512	, _lowerCamelCase=0.0_2	, _lowerCamelCase=1E-12	, _lowerCamelCase=32	, _lowerCamelCase=1	, _lowerCamelCase=0	, _lowerCamelCase=2	, **_lowerCamelCase	, ):
										super().__init__(pad_token_id=_lowerCamelCase	, bos_token_id=_lowerCamelCase	, eos_token_id=_lowerCamelCase	, **_lowerCamelCase      )

										lowerCamelCase__					=vocab_size
										lowerCamelCase__					=hidden_size
										lowerCamelCase__					=num_hidden_layers
										lowerCamelCase__					=num_attention_heads
										lowerCamelCase__					=hidden_act
										lowerCamelCase__					=intermediate_size
										lowerCamelCase__					=hidden_dropout_prob
										lowerCamelCase__					=attention_probs_dropout_prob
										lowerCamelCase__					=max_position_embeddings
										lowerCamelCase__					=initializer_range
										lowerCamelCase__					=layer_norm_eps
										lowerCamelCase__					=relative_attention_num_buckets


