





"""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 			__lowercase     (     _UpperCamelCase				, unittest.TestCase							):







					'''simple docstring'''




					__lowerCAmelCase					=					CTRLTokenizer
					__lowerCAmelCase					=					False
					__lowerCAmelCase					=					False







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

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

									__a	:  str         =					os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''vocab_file''']       )
									__a	:  str         =					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(_UpperCAmelCase       ) + '''\n'''       )
									with open(self.merges_file		,     '''w'''		,     encoding='''utf-8'''       ) as fp:
													fp.write('''\n'''.join(_UpperCAmelCase       )       )







					def 	_lowerCamelCase						(  self		,     **_UpperCAmelCase       ):
									kwargs.update(self.special_tokens_map       )
									return CTRLTokenizer.from_pretrained(self.tmpdirname		,     **_UpperCAmelCase       )







					def 	_lowerCamelCase						(  self		,     _UpperCAmelCase       ):
									__a	:  Union[str, Any]         =					'''adapt react readapt apt'''
									__a	:  Tuple         =					'''adapt react readapt apt'''
									return input_text, output_text







					def 	_lowerCamelCase						(  self       ):
									__a	:  Tuple         =					CTRLTokenizer(self.vocab_file		,     self.merges_file		,     **self.special_tokens_map       )
									__a	:  Optional[Any]         =					'''adapt react readapt apt'''
									__a	:  List[str]         =					'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
									__a	:  List[str]         =					tokenizer.tokenize(_UpperCAmelCase       )
									self.assertListEqual(_UpperCAmelCase		,     _UpperCAmelCase       )

									__a	:  int         =					tokens + [tokenizer.unk_token]

									__a	:  Union[str, Any]         =					[0, 1, 2, 4, 5, 1, 0, 3, 6]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase       )		,     _UpperCAmelCase       )






"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A	     =					{
    '''configuration_instructblip''': [
        '''INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InstructBlipConfig''',
        '''InstructBlipQFormerConfig''',
        '''InstructBlipVisionConfig''',
    ],
    '''processing_instructblip''': ['''InstructBlipProcessor'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					[
		    '''INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''InstructBlipQFormerModel''',
		    '''InstructBlipPreTrainedModel''',
		    '''InstructBlipForConditionalGeneration''',
		    '''InstructBlipVisionModel''',
		]

if TYPE_CHECKING:
		from .configuration_instructblip import (
		    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    InstructBlipConfig,
		    InstructBlipQFormerConfig,
		    InstructBlipVisionConfig,
		)
		from .processing_instructblip import InstructBlipProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_instructblip import (
				    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    InstructBlipForConditionalGeneration,
				    InstructBlipPreTrainedModel,
				    InstructBlipQFormerModel,
				    InstructBlipVisionModel,
				)

else:
		import sys

		A	     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)