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 						a__							(   unittest.TestCase      ,						__snake_case		):



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Optional[Any]:
								__a							=   load_tool('image-segmentation'    )
								self.tool.setup()
								__a							=   load_tool('image-segmentation'      ,						remote=UpperCAmelCase    )



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Optional[Any]:
								__a							=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
								__a							=   self.tool(UpperCAmelCase      ,						'cat'    )
								self.assertTrue(isinstance(UpperCAmelCase      ,						Image.Image    )    )



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Dict:
								__a							=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
								__a							=   self.remote_tool(UpperCAmelCase      ,						'cat'    )
								self.assertTrue(isinstance(UpperCAmelCase      ,						Image.Image    )    )



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Union[str, Any]:
								__a							=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
								__a							=   self.tool(image=UpperCAmelCase      ,						label='cat'    )
								self.assertTrue(isinstance(UpperCAmelCase      ,						Image.Image    )    )







			def __SCREAMING_SNAKE_CASE							(						self    ) ->    List[Any]:
								__a							=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
								__a							=   self.remote_tool(image=UpperCAmelCase      ,						label='cat'    )
								self.assertTrue(isinstance(UpperCAmelCase      ,						Image.Image    )    )





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_				:		int       						=       {
    """configuration_fsmt""": ["""FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FSMTConfig"""],
    """tokenization_fsmt""": ["""FSMTTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_				:		Dict       						=       ["""FSMTForConditionalGeneration""", """FSMTModel""", """PretrainedFSMTModel"""]


if TYPE_CHECKING:
	from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
	from .tokenization_fsmt import FSMTTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
	import sys

	lowerCamelCase_				:		Dict       						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




