
'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


A							     = logging.get_logger(__name__)

A							     = {
    "uclanlp/plbart-base": "https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}



class 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  _UpperCamelCase							=			'plbart'
  _UpperCamelCase							=			['past_key_values']
  _UpperCamelCase							=			{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}

  def __init__(self	:			List[str]						,			lowerCAmelCase_	:			str=5_00_05						,			lowerCAmelCase_	:			Any=10_24						,			lowerCAmelCase_	:			Dict=6						,			lowerCAmelCase_	:			int=30_72						,			lowerCAmelCase_	:			Union[str, Any]=12						,			lowerCAmelCase_	:			Union[str, Any]=6						,			lowerCAmelCase_	:			Any=30_72						,			lowerCAmelCase_	:			List[Any]=12						,			lowerCAmelCase_	:			str=0.0						,			lowerCAmelCase_	:			Any=0.0						,			lowerCAmelCase_	:			Optional[int]=True						,			lowerCAmelCase_	:			Optional[Any]=True						,			lowerCAmelCase_	:			Optional[int]="gelu"						,			lowerCAmelCase_	:			Tuple=7_68						,			lowerCAmelCase_	:			str=0.1						,			lowerCAmelCase_	:			Union[str, Any]=0.1						,			lowerCAmelCase_	:			str=0.0						,			lowerCAmelCase_	:			int=0.02						,			lowerCAmelCase_	:			List[Any]=0.0						,			lowerCAmelCase_	:			Optional[Any]=True						,			lowerCAmelCase_	:			List[str]=1						,			lowerCAmelCase_	:			Union[str, Any]=0						,			lowerCAmelCase_	:			List[str]=2						,			lowerCAmelCase_	:			Union[str, Any]=2						,			**lowerCAmelCase_	:			List[str]						,			) ->							Dict:
        snake_case_    							=				vocab_size
        snake_case_    							=				max_position_embeddings
        snake_case_    							=				d_model
        snake_case_    							=				encoder_ffn_dim
        snake_case_    							=				encoder_layers
        snake_case_    							=				encoder_attention_heads
        snake_case_    							=				decoder_ffn_dim
        snake_case_    							=				decoder_layers
        snake_case_    							=				decoder_attention_heads
        snake_case_    							=				dropout
        snake_case_    							=				attention_dropout
        snake_case_    							=				activation_dropout
        snake_case_    							=				activation_function
        snake_case_    							=				init_std
        snake_case_    							=				encoder_layerdrop
        snake_case_    							=				decoder_layerdrop
        snake_case_    							=				classifier_dropout
        snake_case_    							=				use_cache
        snake_case_    							=				encoder_layers
        snake_case_    							=				scale_embedding  # scale factor will be sqrt(d_model) if True
        super().__init__(
            pad_token_id=lowerCAmelCase_						,			bos_token_id=lowerCAmelCase_						,			eos_token_id=lowerCAmelCase_						,			is_encoder_decoder=lowerCAmelCase_						,			forced_eos_token_id=lowerCAmelCase_						,			**lowerCAmelCase_						,			)



class 			lowerCAmelCase__ (							UpperCamelCase							):



  '''simple docstring'''






  @property
  def 		_lowerCamelCase						(self	:			Any     ) ->							Mapping[str, Mapping[int, str]]:
        return OrderedDict(
            [
                ("input_ids", {0: "batch", 1: "sequence"}),
                ("attention_mask", {0: "batch", 1: "sequence"}),
            ]     )


  @property
  def 		_lowerCamelCase						(self	:			Dict     ) ->							Mapping[str, Mapping[int, str]]:
        if self.use_past:
              return OrderedDict(
                  [
                      ("last_hidden_state", {0: "batch", 1: "sequence"}),
                      ("past_keys", {0: "batch", 2: "sequence"}),
                      ("encoder_last_hidden_state", {0: "batch", 1: "sequence"}),
                  ]     )
        else:
              return OrderedDict(
                  [
                      ("last_hidden_state", {0: "batch", 1: "sequence"}),
                      ("encoder_last_hidden_state", {0: "batch", 1: "sequence"}),
                  ]     )





import unittest

from cer import CER


__lowerCAmelCase									=				CER()





class     __a     (       unittest.TestCase ):
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[Any]:




        '''simple docstring'''
        lowercase__:  Optional[Any]         =  ['White House']
        lowercase__:  Optional[int]         =  ['white house']
        # S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
        lowercase__:  str         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.1_8_1_8_1_8_1_8_1_8					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							List[str]:




        '''simple docstring'''
        lowercase__:  Union[str, Any]         =  ['were wolf']
        lowercase__:  Union[str, Any]         =  ['werewolf']
        # S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
        lowercase__:  Tuple         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.1_1_1_1_1_1_1					) < 1E-6					)

        lowercase__:  Dict         =  ['werewolf']
        lowercase__:  Optional[Any]         =  ['weae     wolf']
        # S = 1, D = 1, I = 0, N = 8, CER = 0.25
        lowercase__:  Optional[int]         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.2_5					) < 1E-6					)

        # consecutive whitespaces case 1
        lowercase__:  Union[str, Any]         =  ['were wolf']
        lowercase__:  int         =  ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        lowercase__:  int         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.0					) < 1E-6					)

        # consecutive whitespaces case 2
        lowercase__:  List[str]         =  ['were   wolf']
        lowercase__:  Tuple         =  ['were               wolf']
        # S = 0, D = 0, I = 0, N = 9, CER = 0
        lowercase__:  Dict         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.0					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							List[str]:




        '''simple docstring'''
        lowercase__:  Optional[int]         =  ['werewolf']
        lowercase__:  Dict         =  ['weaewolf']
        # S = 1, D = 0, I = 0, N = 8, CER = 0.125
        lowercase__:  int         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.1_2_5					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[Any]:




        '''simple docstring'''
        lowercase__:  int         =  ['werewolf']
        lowercase__:  Optional[int]         =  ['wereawolf']
        # S = 0, D = 1, I = 0, N = 8, CER = 0.125
        lowercase__:  Dict         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.1_2_5					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[Any]:




        '''simple docstring'''
        lowercase__:  Optional[Any]         =  ['werewolf']
        lowercase__:  List[str]         =  ['wereolf']
        # S = 0, D = 0, I = 1, N = 8, CER = 0.125
        lowercase__:  Optional[Any]         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.1_2_5					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[int]:




        '''simple docstring'''
        lowercase__:  List[str]         =  ['werewolf']
        lowercase__:  List[Any]         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertEqual(lowerCAmelCase__							,					0.0					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							List[Any]:




        '''simple docstring'''
        lowercase__:  int         =  ['werewolf', 'I am your father']
        lowercase__:  Union[str, Any]         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertEqual(lowerCAmelCase__							,					0.0					)

        lowercase__:  List[str]         =  ['werewolf', 'I am your father', 'doge']
        lowercase__:  Any         =  ['werxwolf', 'I       am your father', 'doge']
        # S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
        lowercase__:  int         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.0_3_5_7_1_4_2_8					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Optional[int]:




        '''simple docstring'''
        lowercase__:  List[Any]         =  ['My hovercraft', 'is full of eels']
        lowercase__:  Union[str, Any]         =  ['My hovercraft is full', ' of eels']
        # S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
        # whitespace at the front of " of eels" will be strip during preporcessing
        # so need to insert 2 whitespaces
        lowercase__:  Optional[int]         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__							,					concatenate_texts=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.0_7_1_4_2_8					) < 1E-6					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							Dict:




        '''simple docstring'''
        lowercase__:  Dict         =  ['我能吞下玻璃而不伤身体']
        lowercase__:  Tuple         =  [' 能吞虾玻璃而 不霜身体啦']
        # S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
        lowercase__:  str         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5					) < 1E-6					)

        lowercase__:  Any         =  ['我能吞下玻璃', '而不伤身体']
        lowercase__:  Union[str, Any]         =  ['我    能 吞 下 玻 璃', '而不伤身体']
        # S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
        lowercase__:  Optional[Any]         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5_4_5					) < 1E-6					)

        lowercase__:  int         =  ['我能吞下玻璃而不伤身体']
        lowercase__:  Any         =  cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)
        self.assertFalse(lowerCAmelCase__							,					0.0					)
 def 						SCREAMING_SNAKE_CASE__  (  self					)   ->							List[str]:




        '''simple docstring'''
        lowercase__:  Dict         =  ['']
        lowercase__:  int         =  ['Hypothesis']
        with self.assertRaises(lowerCAmelCase__					):
               cer.compute(predictions=lowerCAmelCase__							,					references=lowerCAmelCase__					)


if __name__ == "__main__":
 unittest.main()


