




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 				__SCREAMING_SNAKE_CASE							(		unittest.TestCase   ,     lowerCamelCase  ):

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Union[str, Any]							   =							load_tool('image-captioning'					)
						self.tool.setup()
						lowerCamelCase_							:		Union[str, Any]							   =							load_tool('image-captioning' ,       remote=__lowercase					)

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Any							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		List[Any]							   =							self.tool(__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Any							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		List[str]							   =							self.remote_tool(__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Union[str, Any]							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		List[str]							   =							self.tool(image=__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)





					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		str							   =							Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / '000000039769.png'					)
						lowerCamelCase_							:		Any							   =							self.remote_tool(image=__lowercase					)
						self.assertEqual(__lowercase ,       'two cats sleeping on a couch'					)

"""simple docstring"""


import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


a							=TypeVar('T', bound='TaskTemplate')






@dataclass(frozen=__lowerCAmelCase	)
class    __UpperCAmelCase						(	abc.ABC	):
				# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
				A__      :   str
				A__      :   ClassVar[Features]
				A__      :   ClassVar[Features]

				def 		_a	(      self	, _lowerCamelCase      ):
										return copy.deepcopy(self      )

				@property
				def 		_a	(      self      ):
										return Features(**self.input_schema	, **self.label_schema      )

				@property
				@abc.abstractmethod
				def 		_a	(      self      ):
										raise NotImplementedError






				@classmethod
				def 		_a	(      cls	, _lowerCamelCase      ):
										lowerCamelCase__					={f.name for f in dataclasses.fields(cls      )}
										return cls(**{k: v for k, v in template_dict.items() if k in field_names}      )


