"""simple docstring"""




import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class 						__A							( SCREAMING_SNAKE_CASE_    ,	unittest.TestCase		):
     _UpperCamelCase							:			str							=		TransfoXLTokenizer
     _UpperCamelCase							:			List[str]							=		False
     _UpperCamelCase							:			int							=		False






     def     __A  (		self  ):
       super().setUp()

       _lowerCAmelCase						:       int  			=     [
           """<unk>""",
           """[CLS]""",
           """[SEP]""",
           """want""",
           """unwanted""",
           """wa""",
           """un""",
           """running""",
           """,""",
           """low""",
           """l""",
       ]
       _lowerCAmelCase						:       Union[str, Any]  			=     os.path.join(self.tmpdirname				,     VOCAB_FILES_NAMES["""vocab_file"""]  )
       with open(self.vocab_file				,     """w"""				,     encoding="""utf-8"""  ) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]  )  )






     def     __A  (		self				,     **a__  ):
       _lowerCAmelCase						:       Dict  			=     True
       return TransfoXLTokenizer.from_pretrained(self.tmpdirname				,     **a__  )






     def     __A  (		self				,     a__  ):
       _lowerCAmelCase						:       Dict  			=     """<unk> UNwanted , running"""
       _lowerCAmelCase						:       List[str]  			=     """<unk> unwanted, running"""
       return input_text, output_text






     def     __A  (		self  ):
       _lowerCAmelCase						:       List[str]  			=     TransfoXLTokenizer(vocab_file=self.vocab_file				,     lower_case=a__  )

       _lowerCAmelCase						:       Union[str, Any]  			=     tokenizer.tokenize("""<unk> UNwanted , running"""  )
       self.assertListEqual(a__				,     ["""<unk>""", """unwanted""", """,""", """running"""]  )

       self.assertListEqual(tokenizer.convert_tokens_to_ids(a__  )				,     [0, 4, 8, 7]  )






     def     __A  (		self  ):
       _lowerCAmelCase						:       Dict  			=     TransfoXLTokenizer(lower_case=a__  )

       self.assertListEqual(
           tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """  )				,     ["""hello""", """!""", """how""", """are""", """you""", """?"""]  )






     def     __A  (		self  ):
       _lowerCAmelCase						:       Any  			=     TransfoXLTokenizer(lower_case=a__  )

       self.assertListEqual(
           tokenizer.tokenize(""" \tHeLLo ! how  \n Are yoU ?  """  )				,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )






     def     __A  (		self  ):
       _lowerCAmelCase						:       Optional[int]  			=     TransfoXLTokenizer(lower_case=a__  )
       _lowerCAmelCase						:       Dict  			=     """Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
       _lowerCAmelCase						:       Tuple  			=     [
           """Hello""",
           """(""",
           """bracket""",
           """)""",
           """and""",
           """side""",
           """@-@""",
           """scrolled""",
           """[""",
           """and""",
           """]""",
           """Henry""",
           """'s""",
           """$""",
           """5""",
           """@,@""",
           """000""",
           """with""",
           """3""",
           """@.@""",
           """34""",
           """m""",
           """.""",
           """What""",
           """'s""",
           """up""",
           """!""",
           """?""",
       ]

       self.assertListEqual(tokenizer.tokenize(a__  )				,     a__  )

       self.assertEqual(tokenizer.convert_tokens_to_string(a__  )				,     a__  )






     def     __A  (		self  ):
       _lowerCAmelCase						:       str  			=     self.get_tokenizer()
       _lowerCAmelCase						:       Optional[int]  			=     len(a__  )

       tokenizer.add_tokens(["""new1""", """new2"""]  )
       tokenizer.move_added_token("""new1"""				,     1  )

       # Check that moved token is not copied (duplicate)
       self.assertEqual(len(a__  )				,     original_len + 2  )
       # Check that token is moved to specified id
       self.assertEqual(tokenizer.encode("""new1"""  )				,     [1]  )
       self.assertEqual(tokenizer.decode([1]  )				,     """new1"""  )











"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


a_ =			logging.get_logger(__name__)

a_ =			{
    """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/config.json""",
    """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/config.json""",
    """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/config.json""",
    """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/config.json""",
    """bert-base-multilingual-uncased""": """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json""",
    """bert-base-multilingual-cased""": """https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json""",
    """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/config.json""",
    """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/config.json""",
    """bert-large-uncased-whole-word-masking""": (
        """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json"""
    ),
    """bert-large-cased-whole-word-masking""": (
        """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json"""
    ),
    """bert-large-uncased-whole-word-masking-finetuned-squad""": (
        """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json"""
    ),
    """bert-large-cased-whole-word-masking-finetuned-squad""": (
        """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json"""
    ),
    """bert-base-cased-finetuned-mrpc""": """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json""",
    """bert-base-german-dbmdz-cased""": """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json""",
    """bert-base-german-dbmdz-uncased""": """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json""",
    """cl-tohoku/bert-base-japanese""": """https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json""",
    """cl-tohoku/bert-base-japanese-whole-word-masking""": (
        """https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json"""
    ),
    """cl-tohoku/bert-base-japanese-char""": (
        """https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json"""
    ),
    """cl-tohoku/bert-base-japanese-char-whole-word-masking""": (
        """https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json"""
    ),
    """TurkuNLP/bert-base-finnish-cased-v1""": (
        """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json"""
    ),
    """TurkuNLP/bert-base-finnish-uncased-v1""": (
        """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json"""
    ),
    """wietsedv/bert-base-dutch-cased""": """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json""",
    # See all BERT models at https://huggingface.co/models?filter=bert
}






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 _lowerCamelCase        =     """bert"""

 def __init__(    self					,						__lowerCamelCase=3_0522					,						__lowerCamelCase=768					,						__lowerCamelCase=12					,						__lowerCamelCase=12					,						__lowerCamelCase=3072					,						__lowerCamelCase="gelu"					,						__lowerCamelCase=0.1					,						__lowerCamelCase=0.1					,						__lowerCamelCase=512					,						__lowerCamelCase=2					,						__lowerCamelCase=0.0_2					,						__lowerCamelCase=1e-1_2					,						__lowerCamelCase=0					,						__lowerCamelCase="absolute"					,						__lowerCamelCase=True					,						__lowerCamelCase=None					,						**__lowerCamelCase					,						):



     '''simple docstring'''




     super().__init__(pad_token_id=__lowerCamelCase					,						**__lowerCamelCase  )

     __A    :						Dict						 =     vocab_size
     __A    :						Any						 =     hidden_size
     __A    :						str						 =     num_hidden_layers
     __A    :						int						 =     num_attention_heads
     __A    :						Optional[int]						 =     hidden_act
     __A    :						List[Any]						 =     intermediate_size
     __A    :						Tuple						 =     hidden_dropout_prob
     __A    :						Optional[int]						 =     attention_probs_dropout_prob
     __A    :						Optional[int]						 =     max_position_embeddings
     __A    :						Optional[Any]						 =     type_vocab_size
     __A    :						Optional[Any]						 =     initializer_range
     __A    :						Dict						 =     layer_norm_eps
     __A    :						Any						 =     position_embedding_type
     __A    :						Optional[int]						 =     use_cache
     __A    :						str						 =     classifier_dropout






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 @property
 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     if self.task == "multiple-choice":
         __A    :						str						 =     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
     else:
         __A    :						Tuple						 =     {0: '''batch''', 1: '''sequence'''}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
             ('''token_type_ids''', dynamic_axis),
         ]  )




