



import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin

class  __snake_case      (   UpperCAmelCase__			,unittest.TestCase):







       '''simple docstring'''






       UpperCamelCase__				:      Optional[int]         =					CTRLTokenizer
       UpperCamelCase__				:      int         =					False
       UpperCamelCase__				:      List[str]         =					False


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

           # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
           a__				      =		["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
           a__				      =		dict(zip(lowerCamelCase__  ,  range(len(lowerCamelCase__		)		)		)		)
           a__				      =		["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
           a__				      =		{"unk_token": "<unk>"}

           a__				      =		os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES["""vocab_file"""]		)
           a__				      =		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 _a      (							self  ,  **a_		):
           kwargs.update(self.special_tokens_map		)
           return CTRLTokenizer.from_pretrained(self.tmpdirname  ,  **lowerCamelCase__		)


       def _a      (							self  ,  a_		):
           a__				      =		"adapt react readapt apt"
           a__				      =		"adapt react readapt apt"
           return input_text, output_text







       def _a      (							self		):
           a__				      =		CTRLTokenizer(self.vocab_file  ,  self.merges_file  ,  **self.special_tokens_map		)
           a__				      =		"adapt react readapt apt"
           a__				      =		"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
           a__				      =		tokenizer.tokenize(lowerCamelCase__		)
           self.assertListEqual(lowerCamelCase__  ,  lowerCamelCase__		)

           a__				      =		tokens + [tokenizer.unk_token]

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






from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *

