'''simple docstring'''


import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin





class       _a    (		__a ,				unittest.TestCase      ):


  """simple docstring"""

  A_    							=						BioGptTokenizer
  A_    							=						False




  def 		lowerCamelCase__  (		self      :       int      ):







    '''simple docstring'''


    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    lowercase_     =       [
        """l""",
        """o""",
        """w""",
        """e""",
        """r""",
        """s""",
        """t""",
        """i""",
        """d""",
        """n""",
        """w</w>""",
        """r</w>""",
        """t</w>""",
        """lo""",
        """low""",
        """er</w>""",
        """low</w>""",
        """lowest</w>""",
        """newer</w>""",
        """wider</w>""",
        """<unk>""",
    ]
    lowercase_     =       dict(zip(lowercase_   ,				range(len(lowercase_      )      )      )      )
    lowercase_     =       ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

    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"""      ) as fp:
      fp.write(json.dumps(lowercase_      )      )
    with open(self.merges_file   ,				"""w"""      ) as fp:
      fp.write("""\n""".join(lowercase_      )      )




  def 		lowerCamelCase__  (		self      :       str   ,				lowercase_      :       Union[str, Any]      ):







    '''simple docstring'''


    lowercase_     =       """lower newer"""
    lowercase_     =       """lower newer"""
    return input_text, output_text




  def 		lowerCamelCase__  (		self      :       str      ):







    '''simple docstring'''


    lowercase_     =       BioGptTokenizer(self.vocab_file   ,				self.merges_file      )

    lowercase_     =       """lower"""
    lowercase_     =       ["""low""", """er</w>"""]
    lowercase_     =       tokenizer.tokenize(lowercase_      )
    self.assertListEqual(lowercase_   ,				lowercase_      )

    lowercase_     =       tokens + ["""<unk>"""]
    lowercase_     =       [14, 15, 20]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_      )   ,				lowercase_      )





  @slow
  def 		lowerCamelCase__  (		self      :       Union[str, Any]      ):







    '''simple docstring'''


    lowercase_     =       BioGptTokenizer.from_pretrained("""microsoft/biogpt"""      )

    lowercase_     =       tokenizer.encode("""sequence builders"""   ,				add_special_tokens=lowercase_      )
    lowercase_     =       tokenizer.encode("""multi-sequence build"""   ,				add_special_tokens=lowercase_      )

    lowercase_     =       tokenizer.build_inputs_with_special_tokens(lowercase_      )
    lowercase_     =       tokenizer.build_inputs_with_special_tokens(lowercase_   ,				lowercase_      )

    self.assertTrue(encoded_sentence == [2] + text      )
    self.assertTrue(encoded_pair == [2] + text + [2] + text_a      )


'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


__snake_case						  =		logging.get_logger(__name__)

__snake_case						  =		{
    """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/config.json""",
    """umberto-commoncrawl-cased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"""
    ),
    """umberto-wikipedia-uncased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"""
    ),
}





class       _a    (		__a      ):


  """simple docstring"""

  A_    							=						'''camembert'''




  def __init__(		self      :       Union[str, Any]   ,				lowercase_      :       Union[str, Any]=30_522   ,				lowercase_      :       Optional[Any]=768   ,				lowercase_      :       Tuple=12   ,				lowercase_      :       Dict=12   ,				lowercase_      :       Tuple=3_072   ,				lowercase_      :       Optional[Any]="gelu"   ,				lowercase_      :       Optional[int]=0.1   ,				lowercase_      :       Optional[int]=0.1   ,				lowercase_      :       List[Any]=512   ,				lowercase_      :       Optional[int]=2   ,				lowercase_      :       str=0.0_2   ,				lowercase_      :       int=1e-12   ,				lowercase_      :       str=1   ,				lowercase_      :       List[str]=0   ,				lowercase_      :       int=2   ,				lowercase_      :       Union[str, Any]="absolute"   ,				lowercase_      :       Optional[Any]=True   ,				lowercase_      :       List[Any]=None   ,				**lowercase_      :       int   ,				):







    '''simple docstring'''


    super().__init__(pad_token_id=lowercase_   ,				bos_token_id=lowercase_   ,				eos_token_id=lowercase_   ,				**lowercase_      )

    lowercase_     =       vocab_size
    lowercase_     =       hidden_size
    lowercase_     =       num_hidden_layers
    lowercase_     =       num_attention_heads
    lowercase_     =       hidden_act
    lowercase_     =       intermediate_size
    lowercase_     =       hidden_dropout_prob
    lowercase_     =       attention_probs_dropout_prob
    lowercase_     =       max_position_embeddings
    lowercase_     =       type_vocab_size
    lowercase_     =       initializer_range
    lowercase_     =       layer_norm_eps
    lowercase_     =       position_embedding_type
    lowercase_     =       use_cache
    lowercase_     =       classifier_dropout






class       _a    (		__a      ):


  """simple docstring"""

  @property
  def 		lowerCamelCase__  (		self      :       Dict      ):







    '''simple docstring'''


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

