
'''simple docstring'''





import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
					from PIL import Image

class      lowerCAmelCase__  (			unittest.TestCase						,			_UpperCAmelCase    ):






		def 				__A (	self	:							Optional[int]						)  ->							List[str]:
						__lowerCamelCase					      =			load_tool('''image-captioning'''						)
						self.tool.setup()
						__lowerCamelCase					      =			load_tool('''image-captioning'''							,    remote=SCREAMING_SNAKE_CASE__						)






		def 				__A (	self	:							Optional[Any]						)  ->							Tuple:
						__lowerCamelCase					      =			Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''						)						) / '''000000039769.png'''						)
						__lowerCamelCase					      =			self.tool(SCREAMING_SNAKE_CASE__						)
						self.assertEqual(SCREAMING_SNAKE_CASE__							,    '''two cats sleeping on a couch'''						)






		def 				__A (	self	:							Any						)  ->							Optional[Any]:
						__lowerCamelCase					      =			Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''						)						) / '''000000039769.png'''						)
						__lowerCamelCase					      =			self.remote_tool(SCREAMING_SNAKE_CASE__						)
						self.assertEqual(SCREAMING_SNAKE_CASE__							,    '''two cats sleeping on a couch'''						)






		def 				__A (	self	:							Any						)  ->							Union[str, Any]:
						__lowerCamelCase					      =			Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''						)						) / '''000000039769.png'''						)
						__lowerCamelCase					      =			self.tool(image=SCREAMING_SNAKE_CASE__						)
						self.assertEqual(SCREAMING_SNAKE_CASE__							,    '''two cats sleeping on a couch'''						)







		def 				__A (	self	:							Optional[int]						)  ->							Any:
						__lowerCamelCase					      =			Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''						)						) / '''000000039769.png'''						)
						__lowerCamelCase					      =			self.remote_tool(image=SCREAMING_SNAKE_CASE__						)
						self.assertEqual(SCREAMING_SNAKE_CASE__							,    '''two cats sleeping on a couch'''						)





from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class      lowerCAmelCase__  (			__lowercase    ):
		a__ :		Any   						=	SqueezeBertTokenizer
		a__ :		Union[str, Any]   						=	SqueezeBertTokenizerFast
		a__ :		int   						=	True






		def 				__A (	self	:							Optional[int]							,    **SCREAMING_SNAKE_CASE__	:							Union[str, Any]						)  ->							int:
						return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname							,    **SCREAMING_SNAKE_CASE__						)







		@slow
		def 				__A (	self	:							int						)  ->							Optional[int]:
						__lowerCamelCase					      =			SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''						)

						__lowerCamelCase					      =			tokenizer.encode('''sequence builders'''							,    add_special_tokens=SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			tokenizer.encode('''multi-sequence build'''							,    add_special_tokens=SCREAMING_SNAKE_CASE__						)

						__lowerCamelCase					      =			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__						)
						__lowerCamelCase					      =			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							,    SCREAMING_SNAKE_CASE__						)

						assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
						assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
						    tokenizer.sep_token_id
						]



