
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        snake_case_					(						unittest.TestCase		,       __UpperCamelCase			):

						"""simple docstring"""



						def 					UpperCAmelCase__				(self:				Union[str, Any]      )						->    Tuple:




											'''simple docstring'''



											__a				:	Any			=				load_tool("image-segmentation"      )
											self.tool.setup()
											__a				:	int			=				load_tool("image-segmentation"   ,				remote=__UpperCAmelCase      )



						def 					UpperCAmelCase__				(self:				List[str]      )						->    Any:




											'''simple docstring'''



											__a				:	Union[str, Any]			=				Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"      )      ) / "000000039769.png"      )
											__a				:	int			=				self.tool(__UpperCAmelCase   ,				"cat"      )
											self.assertTrue(isinstance(__UpperCAmelCase   ,				Image.Image      )      )



						def 					UpperCAmelCase__				(self:				str      )						->    Any:




											'''simple docstring'''



											__a				:	Optional[int]			=				Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"      )      ) / "000000039769.png"      )
											__a				:	Optional[int]			=				self.remote_tool(__UpperCAmelCase   ,				"cat"      )
											self.assertTrue(isinstance(__UpperCAmelCase   ,				Image.Image      )      )



						def 					UpperCAmelCase__				(self:				int      )						->    Optional[Any]:




											'''simple docstring'''



											__a				:	Optional[Any]			=				Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"      )      ) / "000000039769.png"      )
											__a				:	Union[str, Any]			=				self.tool(image=__UpperCAmelCase   ,				label="cat"      )
											self.assertTrue(isinstance(__UpperCAmelCase   ,				Image.Image      )      )



						def 					UpperCAmelCase__				(self:				Tuple      )						->    Optional[Any]:




											'''simple docstring'''



											__a				:	Optional[Any]			=				Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"      )      ) / "000000039769.png"      )
											__a				:	Union[str, Any]			=				self.remote_tool(image=__UpperCAmelCase   ,				label="cat"      )
											self.assertTrue(isinstance(__UpperCAmelCase   ,				Image.Image      )      )













from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase__			 =	{'''configuration_pegasus''': ['''PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PegasusConfig''']}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__			 =	['''PegasusTokenizer''']

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__			 =	['''PegasusTokenizerFast''']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__			 =	[
			    '''PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''PegasusForCausalLM''',
			    '''PegasusForConditionalGeneration''',
			    '''PegasusModel''',
			    '''PegasusPreTrainedModel''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__			 =	[
			    '''TFPegasusForConditionalGeneration''',
			    '''TFPegasusModel''',
			    '''TFPegasusPreTrainedModel''',
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__			 =	[
			    '''FlaxPegasusForConditionalGeneration''',
			    '''FlaxPegasusModel''',
			    '''FlaxPegasusPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_pegasus import PegasusTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_pegasus_fast import PegasusTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_pegasus import (
						    PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
						    PegasusForCausalLM,
						    PegasusForConditionalGeneration,
						    PegasusModel,
						    PegasusPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_pegasus import (
						    FlaxPegasusForConditionalGeneration,
						    FlaxPegasusModel,
						    FlaxPegasusPreTrainedModel,
						)

else:
			import sys

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





