



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   snake_case_ (lowercase__ , unittest.TestCase  ):




       """simple docstring"""






       _lowerCamelCase			    =				BioGptTokenizer
       _lowerCamelCase			    =				False



       def  A_   (     self):

             """simple docstring"""





             super().setUp()

             # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
             UpperCAmelCase_  :	int				      =		[
                 "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>",
             ]
             UpperCAmelCase_  :	str				      =		dict(zip(lowercase     ,range(len(lowercase))))
             UpperCAmelCase_  :	Tuple				      =		["l o 123", "lo w 1456", "e r</w> 1789", ""]

             UpperCAmelCase_  :	Dict				      =		os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES["vocab_file"])
             UpperCAmelCase_  :	int				      =		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  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Any				      =		"lower newer"
             UpperCAmelCase_  :	Any				      =		"lower newer"
             return input_text, output_text



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	str				      =		BioGptTokenizer(self.vocab_file     ,self.merges_file)

             UpperCAmelCase_  :	Dict				      =		"lower"
             UpperCAmelCase_  :	List[str]				      =		["low", "er</w>"]
             UpperCAmelCase_  :	List[str]				      =		tokenizer.tokenize(lowercase)
             self.assertListEqual(lowercase     ,lowercase)

             UpperCAmelCase_  :	Tuple				      =		tokens + ["<unk>"]
             UpperCAmelCase_  :	List[Any]				      =		[14, 15, 20]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase)     ,lowercase)



       @slow
       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	List[str]				      =		BioGptTokenizer.from_pretrained("microsoft/biogpt")

             UpperCAmelCase_  :	Tuple				      =		tokenizer.encode("sequence builders"     ,add_special_tokens=lowercase)
             UpperCAmelCase_  :	List[Any]				      =		tokenizer.encode("multi-sequence build"     ,add_special_tokens=lowercase)

             UpperCAmelCase_  :	Any				      =		tokenizer.build_inputs_with_special_tokens(lowercase)
             UpperCAmelCase_  :	Optional[Any]				      =		tokenizer.build_inputs_with_special_tokens(lowercase     ,lowercase)

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





import logging

from transformers import PretrainedConfig


__lowerCamelCase         =			logging.getLogger(__name__)


__lowerCamelCase         =			{
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				"""bertabs"""



       def __init__(     self     ,lowercase=30522     ,lowercase=512     ,lowercase=6     ,lowercase=512     ,lowercase=8     ,lowercase=512     ,lowercase=0.2     ,lowercase=6     ,lowercase=768     ,lowercase=8     ,lowercase=2048     ,lowercase=0.2     ,**lowercase     ,):

             """simple docstring"""





             super().__init__(**lowercase)

             UpperCAmelCase_  :	Any				      =		vocab_size
             UpperCAmelCase_  :	int				      =		max_pos

             UpperCAmelCase_  :	List[str]				      =		enc_layers
             UpperCAmelCase_  :	List[str]				      =		enc_hidden_size
             UpperCAmelCase_  :	Any				      =		enc_heads
             UpperCAmelCase_  :	Any				      =		enc_ff_size
             UpperCAmelCase_  :	Optional[int]				      =		enc_dropout

             UpperCAmelCase_  :	List[str]				      =		dec_layers
             UpperCAmelCase_  :	List[Any]				      =		dec_hidden_size
             UpperCAmelCase_  :	List[str]				      =		dec_heads
             UpperCAmelCase_  :	List[Any]				      =		dec_ff_size
             UpperCAmelCase_  :	List[str]				      =		dec_dropout
