



'''simple docstring'''



import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin
class 						lowerCamelCase_				(       __UpperCAmelCase     ,					unittest.TestCase      ):
						_lowerCAmelCase  : List[Any]						  =					CTRLTokenizer
						_lowerCAmelCase  : Dict						  =					False
						_lowerCAmelCase  : Optional[int]						  =					False







						def        __lowercase     (	self :   int					):

													"""simple docstring"""
													super().setUp()

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

													SCREAMING_SNAKE_CASE       :   Tuple         =      os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['''vocab_file''']					)
													SCREAMING_SNAKE_CASE       :   Any         =      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 :   str					,     **lowerCAmelCase__ :   Any					):

													"""simple docstring"""
													kwargs.update(self.special_tokens_map					)
													return CTRLTokenizer.from_pretrained(self.tmpdirname					,     **lowerCAmelCase_					)







						def        __lowercase     (	self :   Tuple					,     lowerCAmelCase__ :   Dict					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   int         =      'adapt react readapt apt'
													SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      'adapt react readapt apt'
													return input_text, output_text







						def        __lowercase     (	self :   Any					):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      CTRLTokenizer(self.vocab_file					,     self.merges_file					,     **self.special_tokens_map					)
													SCREAMING_SNAKE_CASE       :   Any         =      'adapt react readapt apt'
													SCREAMING_SNAKE_CASE       :   Any         =      'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
													SCREAMING_SNAKE_CASE       :   List[Any]         =      tokenizer.tokenize(lowerCAmelCase_					)
													self.assertListEqual(lowerCAmelCase_					,     lowerCAmelCase_					)

													SCREAMING_SNAKE_CASE       :   int         =      tokens + [tokenizer.unk_token]

													SCREAMING_SNAKE_CASE       :   Any         =      [0, 1, 2, 4, 5, 1, 0, 3, 6]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_					)					,     lowerCAmelCase_					)












"""simple docstring"""
lowerCAmelCase__    						=			'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

lowerCAmelCase__    						=			[{'type': 'code', 'content': INSTALL_CONTENT}]
lowerCAmelCase__    						=			{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}

