
from typing import List

from .keymap import KEYMAP, get_character







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    List[str]:

       def decorator(SCREAMING_SNAKE_CASE__				):
              lowercase							:     Union[str, Any]       	=      getattr(SCREAMING_SNAKE_CASE__					,	"""handle_key"""					,	[]				)
              handle += [key]
              setattr(SCREAMING_SNAKE_CASE__					,	"""handle_key"""					,	SCREAMING_SNAKE_CASE__				)
              return func

       return decorator







def 						_snake_case(  *SCREAMING_SNAKE_CASE__				) ->    Tuple:

       def decorator(SCREAMING_SNAKE_CASE__				):
              lowercase							:     Union[str, Any]       	=      getattr(SCREAMING_SNAKE_CASE__					,	"""handle_key"""					,	[]				)
              handle += keys
              setattr(SCREAMING_SNAKE_CASE__					,	"""handle_key"""					,	SCREAMING_SNAKE_CASE__				)
              return func

       return decorator

class __snake_case		(      lowerCAmelCase     ):
    def __new__(  cls		,snake_case		,snake_case		,snake_case      ):



           '''simple docstring'''







           lowercase							:     List[str]       	=      super().__new__(cls		,snake_case		,snake_case		,snake_case      )
           if not hasattr(snake_case		,"""key_handler"""      ):
                  setattr(snake_case		,"""key_handler"""		,{}      )
           setattr(snake_case		,"""handle_input"""		,KeyHandler.handle_input      )

           for value in attrs.values():
                  lowercase							:     Union[str, Any]       	=      getattr(snake_case		,"""handle_key"""		,[]      )
                  for key in handled_keys:
                         lowercase							:     Optional[Any]       	=      value
           return new_cls
    @staticmethod
    def       _SCREAMING_SNAKE_CASE       (  cls      ):



           '''simple docstring'''







           lowercase							:     Optional[Any]       	=      get_character()
           if char != KEYMAP["undefined"]:
                  lowercase							:     List[Any]       	=      ord(snake_case      )
           lowercase							:     Any       	=      cls.key_handler.get(snake_case      )
           if handler:
                  lowercase							:     List[str]       	=      char
                  return handler(cls      )
           else:
                  return None







def 						_snake_case(  cls				) ->    Dict:
       return KeyHandler(cls.__name__					,	cls.__bases__					,	cls.__dict__.copy()				)


import unittest

from huggingface_hub import hf_hub_download

from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
from transformers.pipelines import VideoClassificationPipeline, pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_decord,
    require_tf,
    require_torch,
    require_torch_or_tf,
    require_vision,
)

from .test_pipelines_common import ANY

@is_pipeline_test
@require_torch_or_tf
@require_vision
@require_decord
class __snake_case		(      unittest.TestCase     ):
    _a		:						Optional[int]=				MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case		,snake_case      ):



           '''simple docstring'''







           lowercase							:     Any       	=      hf_hub_download(
               repo_id="""nateraw/video-demo"""		,filename="""archery.mp4"""		,repo_type="""dataset"""      )
           lowercase							:     List[str]       	=      VideoClassificationPipeline(model=snake_case		,image_processor=snake_case		,top_k=2      )
           lowercase							:     Dict       	=      [
               example_video_filepath,
               """https://huggingface.co/datasets/nateraw/video-demo/resolve/main/archery.mp4""",
           ]
           return video_classifier, examples
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case      ):



           '''simple docstring'''







           for example in examples:
                  lowercase							:     int       	=      video_classifier(snake_case      )

                  self.assertEqual(
                      snake_case		,[
                          {"""score""": ANY(snake_case      ), """label""": ANY(snake_case      )},
                          {"""score""": ANY(snake_case      ), """label""": ANY(snake_case      )},
                      ]		,)
    @require_torch
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     Any       	=      """hf-internal-testing/tiny-random-VideoMAEForVideoClassification"""
           lowercase							:     str       	=      VideoMAEFeatureExtractor(
               size={"""shortest_edge""": 10}		,crop_size={"""height""": 10, """width""": 10}      )
           lowercase							:     List[Any]       	=      pipeline(
               """video-classification"""		,model=snake_case		,feature_extractor=snake_case		,frame_sampling_rate=4      )

           lowercase							:     Dict       	=      hf_hub_download(repo_id="""nateraw/video-demo"""		,filename="""archery.mp4"""		,repo_type="""dataset"""      )
           lowercase							:     Any       	=      video_classifier(snake_case		,top_k=2      )
           self.assertEqual(
               nested_simplify(snake_case		,decimals=4      )		,[{"""score""": 0.5_199, """label""": """LABEL_0"""}, {"""score""": 0.4_801, """label""": """LABEL_1"""}]		,)

           lowercase							:     str       	=      video_classifier(
               [
                   video_file_path,
                   video_file_path,
               ]		,top_k=2		,)
           self.assertEqual(
               nested_simplify(snake_case		,decimals=4      )		,[
                   [{"""score""": 0.5_199, """label""": """LABEL_0"""}, {"""score""": 0.4_801, """label""": """LABEL_1"""}],
                   [{"""score""": 0.5_199, """label""": """LABEL_0"""}, {"""score""": 0.4_801, """label""": """LABEL_1"""}],
               ]		,)
    @require_tf
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           pass
