






"""simple docstring"""



import logging

from transformers.configuration_utils import PretrainedConfig


__A		:       Any  				=		logging.getLogger(__name__)





class 					_UpperCAmelCase       ( _A							):
					SCREAMING_SNAKE_CASE_		:				Tuple							    =   "masked_bert"




					def __init__(				self     :						Optional[int]    ,						A     :						int=3_05_22    ,						A     :						int=7_68    ,						A     :						List[Any]=12    ,						A     :						Union[str, Any]=12    ,						A     :						List[str]=30_72    ,						A     :						Dict="gelu"    ,						A     :						Any=0.1    ,						A     :						int=0.1    ,						A     :						Optional[Any]=5_12    ,						A     :						Union[str, Any]=2    ,						A     :						Any=0.02    ,						A     :						str=1e-12    ,						A     :						Optional[int]=0    ,						A     :						Union[str, Any]="topK"    ,						A     :						Union[str, Any]="constant"    ,						A     :						Optional[int]=0.0    ,						**A     :						List[str]    ,						)  ->  int:
							super().__init__(pad_token_id=A    ,						**A   )

							lowercase_ : str							       =   vocab_size
							lowercase_ : List[str]							       =   hidden_size
							lowercase_ : List[Any]							       =   num_hidden_layers
							lowercase_ : int							       =   num_attention_heads
							lowercase_ : Union[str, Any]							       =   hidden_act
							lowercase_ : Any							       =   intermediate_size
							lowercase_ : Tuple							       =   hidden_dropout_prob
							lowercase_ : Optional[Any]							       =   attention_probs_dropout_prob
							lowercase_ : Tuple							       =   max_position_embeddings
							lowercase_ : Union[str, Any]							       =   type_vocab_size
							lowercase_ : Optional[int]							       =   initializer_range
							lowercase_ : List[Any]							       =   layer_norm_eps
							lowercase_ : Any							       =   pruning_method
							lowercase_ : Dict							       =   mask_init
							lowercase_ : Optional[Any]							       =   mask_scale











import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class       _UpperCAmelCase					(       A__		,unittest.TestCase	):

				"""simple docstring"""




				lowercase__											=       CTRLTokenizer
				lowercase__											=       False
				lowercase__											=       False




				def 				lowercase__   (     self						:    Union[str, Any]  ):

								'''simple docstring'''
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								lowercase__    =			['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
								lowercase__    =			dict(zip(lowerCamelCase,  range(len(lowerCamelCase  )  )  )  )
								lowercase__    =			['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
								lowercase__    =			{'''unk_token''': '''<unk>'''}

								lowercase__    =			os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES['''vocab_file''']  )
								lowercase__    =			os.path.join(self.tmpdirname,  VOCAB_FILES_NAMES['''merges_file''']  )
								with open(self.vocab_file,  '''w''',  encoding='''utf-8'''  ) as fp:
												fp.write(json.dumps(lowerCamelCase  ) + '''\n'''  )
								with open(self.merges_file,  '''w''',  encoding='''utf-8'''  ) as fp:
												fp.write('''\n'''.join(lowerCamelCase  )  )




				def 				lowercase__   (     self						:    Union[str, Any],  **lowerCamelCase						:    Dict  ):

								'''simple docstring'''
								kwargs.update(self.special_tokens_map  )
								return CTRLTokenizer.from_pretrained(self.tmpdirname,  **lowerCamelCase  )




				def 				lowercase__   (     self						:    Dict,  lowerCamelCase						:    Optional[int]  ):

								'''simple docstring'''
								lowercase__    =			'''adapt react readapt apt'''
								lowercase__    =			'''adapt react readapt apt'''
								return input_text, output_text




				def 				lowercase__   (     self						:    Tuple  ):

								'''simple docstring'''
								lowercase__    =			CTRLTokenizer(self.vocab_file,  self.merges_file,  **self.special_tokens_map  )
								lowercase__    =			'''adapt react readapt apt'''
								lowercase__    =			'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
								lowercase__    =			tokenizer.tokenize(lowerCamelCase  )
								self.assertListEqual(lowerCamelCase,  lowerCamelCase  )

								lowercase__    =			tokens + [tokenizer.unk_token]

								lowercase__    =			[0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase  ),  lowerCamelCase  )




