'''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 				lowercase    (    unittest.TestCase			,					__lowerCamelCase			):


   def __UpperCAmelCase							( self					:						Optional[Any])   ->       Union[str, Any]:
         lowercase_     			=   load_tool("image-captioning")
         self.tool.setup()
         lowercase_     			=   load_tool("image-captioning" ,		remote=__lowerCAmelCase)


   def __UpperCAmelCase							( self					:						Any)   ->       Optional[int]:
         lowercase_     			=   Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
         lowercase_     			=   self.tool(__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase ,		"two cats sleeping on a couch")


   def __UpperCAmelCase							( self					:						Dict)   ->       List[str]:
         lowercase_     			=   Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
         lowercase_     			=   self.remote_tool(__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase ,		"two cats sleeping on a couch")


   def __UpperCAmelCase							( self					:						Any)   ->       Tuple:
         lowercase_     			=   Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
         lowercase_     			=   self.tool(image=__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase ,		"two cats sleeping on a couch")


   def __UpperCAmelCase							( self					:						Tuple)   ->       Tuple:
         lowercase_     			=   Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO")) / "000000039769.png")
         lowercase_     			=   self.remote_tool(image=__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase ,		"two cats sleeping on a couch")







'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase_			:			Tuple    	=   {"configuration_vilt": ["VILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViltConfig"]}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_			:			Optional[int]    	=   ["ViltFeatureExtractor"]
       lowerCAmelCase_			:			str    	=   ["ViltImageProcessor"]
       lowerCAmelCase_			:			Any    	=   ["ViltProcessor"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_			:			Any    	=   [
           "VILT_PRETRAINED_MODEL_ARCHIVE_LIST",
           "ViltForImageAndTextRetrieval",
           "ViltForImagesAndTextClassification",
           "ViltForTokenClassification",
           "ViltForMaskedLM",
           "ViltForQuestionAnswering",
           "ViltLayer",
           "ViltModel",
           "ViltPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_vilt import ViltFeatureExtractor
              from .image_processing_vilt import ViltImageProcessor
              from .processing_vilt import ViltProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vilt import (
                  VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  ViltForImageAndTextRetrieval,
                  ViltForImagesAndTextClassification,
                  ViltForMaskedLM,
                  ViltForQuestionAnswering,
                  ViltForTokenClassification,
                  ViltLayer,
                  ViltModel,
                  ViltPreTrainedModel,
              )


else:
       import sys

       lowerCAmelCase_			:			str    	=   _LazyModule(__name__, globals()["__file__"], _import_structure)






