"""simple docstring"""







import unittest

from transformers.image_processing_utils import get_size_dict






class      _SCREAMING_SNAKE_CASE							(			unittest.TestCase				):



   '''simple docstring'''



   def    _A				(	self	):


      '''simple docstring'''

      __lowerCamelCase    		=					{'wrong_key': 224}
      with self.assertRaises(_SCREAMING_SNAKE_CASE	):
         get_size_dict(_SCREAMING_SNAKE_CASE	)

      __lowerCamelCase    		=					{'height': 224}
      with self.assertRaises(_SCREAMING_SNAKE_CASE	):
         get_size_dict(_SCREAMING_SNAKE_CASE	)

      __lowerCamelCase    		=					{'width': 224, 'shortest_edge': 224}
      with self.assertRaises(_SCREAMING_SNAKE_CASE	):
         get_size_dict(_SCREAMING_SNAKE_CASE	)

      # Test a dict with the correct keys is returned as is
      __lowerCamelCase    		=					{'height': 224, 'width': 224}
      __lowerCamelCase    		=					get_size_dict(_SCREAMING_SNAKE_CASE	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				_SCREAMING_SNAKE_CASE	)

      __lowerCamelCase    		=					{'shortest_edge': 224}
      __lowerCamelCase    		=					get_size_dict(_SCREAMING_SNAKE_CASE	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				{'shortest_edge': 224}	)

      __lowerCamelCase    		=					{'longest_edge': 224, 'shortest_edge': 224}
      __lowerCamelCase    		=					get_size_dict(_SCREAMING_SNAKE_CASE	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				{'longest_edge': 224, 'shortest_edge': 224}	)

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

      # Test a single int value which represents the shortest edge
      __lowerCamelCase    		=					get_size_dict(224 ,				default_to_square=_SCREAMING_SNAKE_CASE	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				{'shortest_edge': 224}	)

      # Test a tuple of ints which represents (height, width)
      __lowerCamelCase    		=					get_size_dict((150, 200)	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				{'height': 150, 'width': 200}	)

      # Test a tuple of ints which represents (width, height)
      __lowerCamelCase    		=					get_size_dict((150, 200) ,				height_width_order=_SCREAMING_SNAKE_CASE	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				{'height': 200, 'width': 150}	)

      # Test an int representing the shortest edge and max_size which represents the longest edge
      __lowerCamelCase    		=					get_size_dict(224 ,				max_size=256 ,				default_to_square=_SCREAMING_SNAKE_CASE	)
      self.assertEqual(_SCREAMING_SNAKE_CASE ,				{'shortest_edge': 224, 'longest_edge': 256}	)

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







"""simple docstring"""







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


_SCREAMING_SNAKE_CASE	:		str   =   logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	:		Any   =   {
    '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
    '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
    '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
    '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
    '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
    '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
}






class      _SCREAMING_SNAKE_CASE							(			UpperCAmelCase				):



   '''simple docstring'''



   __UpperCAmelCase	:							Tuple    =    "opt"
   __UpperCAmelCase	:							Any    =    ["past_key_values"]







   def __init__(	self ,				_SCREAMING_SNAKE_CASE=50272 ,				_SCREAMING_SNAKE_CASE=768 ,				_SCREAMING_SNAKE_CASE=12 ,				_SCREAMING_SNAKE_CASE=3072 ,				_SCREAMING_SNAKE_CASE=2048 ,				_SCREAMING_SNAKE_CASE=True ,				_SCREAMING_SNAKE_CASE=False ,				_SCREAMING_SNAKE_CASE=None ,				_SCREAMING_SNAKE_CASE=0.1 ,				_SCREAMING_SNAKE_CASE=0.0 ,				_SCREAMING_SNAKE_CASE=12 ,				_SCREAMING_SNAKE_CASE="relu" ,				_SCREAMING_SNAKE_CASE=0.0 ,				_SCREAMING_SNAKE_CASE=0.02 ,				_SCREAMING_SNAKE_CASE=True ,				_SCREAMING_SNAKE_CASE=1 ,				_SCREAMING_SNAKE_CASE=2 ,				_SCREAMING_SNAKE_CASE=2 ,				_SCREAMING_SNAKE_CASE=True ,				_SCREAMING_SNAKE_CASE=True ,				**_SCREAMING_SNAKE_CASE ,				):


      '''simple docstring'''

      super().__init__(
          pad_token_id=_SCREAMING_SNAKE_CASE ,				bos_token_id=_SCREAMING_SNAKE_CASE ,				eos_token_id=_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE ,				)
      __lowerCamelCase    		=					vocab_size
      __lowerCamelCase    		=					max_position_embeddings
      __lowerCamelCase    		=					num_attention_heads
      __lowerCamelCase    		=					word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
      __lowerCamelCase    		=					ffn_dim
      __lowerCamelCase    		=					hidden_size
      __lowerCamelCase    		=					num_hidden_layers
      __lowerCamelCase    		=					dropout
      __lowerCamelCase    		=					attention_dropout
      __lowerCamelCase    		=					activation_function
      __lowerCamelCase    		=					init_std
      __lowerCamelCase    		=					layerdrop
      __lowerCamelCase    		=					use_cache
      __lowerCamelCase    		=					do_layer_norm_before
      # We keep these variables at `True` for backward compatibility.
      __lowerCamelCase    		=					enable_bias
      __lowerCamelCase    		=					layer_norm_elementwise_affine

      # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
      # with checkpoints that have been fine-tuned before transformers v4.20.1
      # see https://github.com/facebookresearch/metaseq/pull/164
      __lowerCamelCase    		=					_remove_final_layer_norm






