




'''simple docstring'''




import unittest

from transformers.image_processing_utils import get_size_dict






class      UpperCamelCase_  (unittest.TestCase  ):







						"""simple docstring"""


						def    _a     (  self   :							int     ):





											"""simple docstring"""







											A_			:  Dict			=				{'''wrong_key''': 224}
											with self.assertRaises(_lowerCamelCase     ):
																get_size_dict(_lowerCamelCase     )

											A_			:  str			=				{'''height''': 224}
											with self.assertRaises(_lowerCamelCase     ):
																get_size_dict(_lowerCamelCase     )

											A_			:  Any			=				{'''width''': 224, '''shortest_edge''': 224}
											with self.assertRaises(_lowerCamelCase     ):
																get_size_dict(_lowerCamelCase     )

											# Test a dict with the correct keys is returned as is
											A_			:  List[str]			=				{'''height''': 224, '''width''': 224}
											A_			:  Tuple			=				get_size_dict(_lowerCamelCase     )
											self.assertEqual(_lowerCamelCase				,			_lowerCamelCase     )

											A_			:  str			=				{'''shortest_edge''': 224}
											A_			:  int			=				get_size_dict(_lowerCamelCase     )
											self.assertEqual(_lowerCamelCase				,			{'''shortest_edge''': 224}     )

											A_			:  Any			=				{'''longest_edge''': 224, '''shortest_edge''': 224}
											A_			:  str			=				get_size_dict(_lowerCamelCase     )
											self.assertEqual(_lowerCamelCase				,			{'''longest_edge''': 224, '''shortest_edge''': 224}     )

											# Test a single int value which  represents (size, size)
											A_			:  int			=				get_size_dict(224     )
											self.assertEqual(_lowerCamelCase				,			{'''height''': 224, '''width''': 224}     )

											# Test a single int value which represents the shortest edge
											A_			:  Optional[int]			=				get_size_dict(224				,			default_to_square=_lowerCamelCase     )
											self.assertEqual(_lowerCamelCase				,			{'''shortest_edge''': 224}     )

											# Test a tuple of ints which represents (height, width)
											A_			:  List[Any]			=				get_size_dict((150, 200)     )
											self.assertEqual(_lowerCamelCase				,			{'''height''': 150, '''width''': 200}     )

											# Test a tuple of ints which represents (width, height)
											A_			:  Union[str, Any]			=				get_size_dict((150, 200)				,			height_width_order=_lowerCamelCase     )
											self.assertEqual(_lowerCamelCase				,			{'''height''': 200, '''width''': 150}     )

											# Test an int representing the shortest edge and max_size which represents the longest edge
											A_			:  Union[str, Any]			=				get_size_dict(224				,			max_size=256				,			default_to_square=_lowerCamelCase     )
											self.assertEqual(_lowerCamelCase				,			{'''shortest_edge''': 224, '''longest_edge''': 256}     )

											# Test int with default_to_square=True and max_size fails
											with self.assertRaises(_lowerCamelCase     ):
																get_size_dict(224				,			max_size=256				,			default_to_square=_lowerCamelCase     )









'''simple docstring'''




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


snake_case__ 							=    logging.get_logger(__name__)

snake_case__ 							=    {
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}






class      UpperCamelCase_  (a__  ):







						"""simple docstring"""


						_lowerCAmelCase         =       'nystromformer'







						def __init__(  self   :							Optional[Any]				,			_lowerCamelCase   :							str=30000				,			_lowerCamelCase   :							Optional[Any]=768				,			_lowerCamelCase   :							Optional[Any]=12				,			_lowerCamelCase   :							str=12				,			_lowerCamelCase   :							List[str]=3072				,			_lowerCamelCase   :							Any="gelu_new"				,			_lowerCamelCase   :							List[Any]=0.1				,			_lowerCamelCase   :							List[str]=0.1				,			_lowerCamelCase   :							List[str]=510				,			_lowerCamelCase   :							Optional[Any]=2				,			_lowerCamelCase   :							List[Any]=64				,			_lowerCamelCase   :							str=64				,			_lowerCamelCase   :							str=65				,			_lowerCamelCase   :							List[Any]=False				,			_lowerCamelCase   :							List[Any]=0.02				,			_lowerCamelCase   :							List[Any]=1E-5				,			_lowerCamelCase   :							Dict=1				,			_lowerCamelCase   :							Tuple=0				,			_lowerCamelCase   :							List[str]=2				,			**_lowerCamelCase   :							List[str]				,			):





											"""simple docstring"""







											A_			:  List[Any]			=				vocab_size
											A_			:  Tuple			=				max_position_embeddings
											A_			:  Dict			=				hidden_size
											A_			:  Optional[Any]			=				num_hidden_layers
											A_			:  Dict			=				num_attention_heads
											A_			:  Tuple			=				intermediate_size
											A_			:  Dict			=				hidden_act
											A_			:  List[Any]			=				hidden_dropout_prob
											A_			:  str			=				attention_probs_dropout_prob
											A_			:  Optional[Any]			=				initializer_range
											A_			:  List[str]			=				type_vocab_size
											A_			:  List[Any]			=				segment_means_seq_len
											A_			:  Dict			=				num_landmarks
											A_			:  int			=				conv_kernel_size
											A_			:  Optional[Any]			=				inv_coeff_init_option
											A_			:  str			=				layer_norm_eps
											super().__init__(pad_token_id=_lowerCamelCase				,			bos_token_id=_lowerCamelCase				,			eos_token_id=_lowerCamelCase				,			**_lowerCamelCase     )



