




from ..utils import DummyObject, requires_backends

class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[Any]			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Tuple       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       Optional[Any]       ,				*snake_case    :       Tuple       ,				**snake_case    :       List[str] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       List[str]       ,				*snake_case    :       Any       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       Optional[int]       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       List[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[str]			=    ["tokenizers"]







      def __init__(   self    :       Optional[Any]       ,				*snake_case    :       Tuple       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       List[Any]       ,				**snake_case    :       List[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       int       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       List[Any]       ,				**snake_case    :       List[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       Tuple       ,				*snake_case    :       List[Any]       ,				**snake_case    :       List[str] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       int       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Optional[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[int]			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Optional[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       Dict       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Dict			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       Union[str, Any]       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       Optional[Any]       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       int ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       List[str]       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[int]			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       int       ,				**snake_case    :       Optional[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[Any]			=    ["tokenizers"]







      def __init__(   self    :       Dict       ,				*snake_case    :       str       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Dict			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       List[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       Tuple       ,				*snake_case    :       int       ,				**snake_case    :       List[str] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       Tuple       ,				*snake_case    :       Optional[int]       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       int			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Any       ,				**snake_case    :       int ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       str       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       Union[str, Any]       ,				*snake_case    :       int       ,				**snake_case    :       List[Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       Dict       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       List[Any]       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       Union[str, Any]       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    ["tokenizers"]







      def __init__(   self    :       int       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Dict			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       List[str]       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       List[str]       ,				*snake_case    :       Optional[int]       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[Any]			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Any       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Union[str, Any]			=    ["tokenizers"]







      def __init__(   self    :       int       ,				*snake_case    :       Any       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[str]			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Any       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[str]			=    ["tokenizers"]







      def __init__(   self    :       Tuple       ,				*snake_case    :       int       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Dict			=    ["tokenizers"]







      def __init__(   self    :       Optional[int]       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       List[str] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[int]			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       Tuple       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       Tuple       ,				*snake_case    :       Any       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       Optional[int]       ,				*snake_case    :       Dict       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Tuple			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       Optional[Any]       ,				*snake_case    :       List[Any]       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Dict			=    ["tokenizers"]







      def __init__(   self    :       Dict       ,				*snake_case    :       int       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Dict			=    ["tokenizers"]







      def __init__(   self    :       Optional[int]       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Union[str, Any] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       Any       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       Union[str, Any]       ,				*snake_case    :       Dict       ,				**snake_case    :       int ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[str]			=    ["tokenizers"]







      def __init__(   self    :       List[str]       ,				*snake_case    :       Optional[Any]       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[int]			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       int       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       int			=    ["tokenizers"]







      def __init__(   self    :       List[Any]       ,				*snake_case    :       List[Any]       ,				**snake_case    :       Dict ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       List[Any]			=    ["tokenizers"]







      def __init__(   self    :       List[str]       ,				*snake_case    :       Optional[int]       ,				**snake_case    :       Optional[int] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Any			=    ["tokenizers"]







      def __init__(   self    :       List[str]       ,				*snake_case    :       int       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       Dict       ,				*snake_case    :       int       ,				**snake_case    :       List[str] ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       int			=    ["tokenizers"]







      def __init__(   self    :       str       ,				*snake_case    :       Dict       ,				**snake_case    :       str ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    ["tokenizers"]







      def __init__(   self    :       List[str]       ,				*snake_case    :       str       ,				**snake_case    :       Tuple ):
          requires_backends(self       ,				['''tokenizers'''] )







class        _lowerCamelCase  (	metaclass=_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       Optional[Any]			=    ["tokenizers"]







      def __init__(   self    :       Optional[int]       ,				*snake_case    :       Union[str, Any]       ,				**snake_case    :       Any ):
          requires_backends(self       ,				['''tokenizers'''] )












import unittest

import numpy as np

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available

from ...test_image_processing_common import ImageProcessingSavingTestMixin


if is_torch_available():
 import torch

if is_vision_available():
 from PIL import Image

 from transformers import TvltImageProcessor




def     __SCREAMING_SNAKE_CASE      (     lowercase_    ,   lowercase_=10    ,   lowercase_=10    ,   lowercase_=False    ,   lowercase_=False					)				->		Dict:

    """simple docstring"""


    __UpperCamelCase     						=  []
    for i in range(image_processor_tester.num_frames					):
        video.append(np.random.randint(2_55    ,   size=(image_processor_tester.num_channels, width, height)    ,   dtype=np.uinta					)					)

    if not numpify and not torchify:
        # PIL expects the channel dimension as last dimension
        __UpperCamelCase     						=  [Image.fromarray(np.moveaxis(lowercase_    ,   0    ,   -1					)					) for frame in video]

    if torchify:
        __UpperCamelCase     						=  [torch.from_numpy(lowercase_					) for frame in video]

    return video




def     __SCREAMING_SNAKE_CASE      (     lowercase_    ,   lowercase_=False    ,   lowercase_=False    ,   lowercase_=False					)				->		Tuple:

    """simple docstring"""


    assert not (numpify and torchify), "You cannot specify both numpy and PyTorch tensors at the same time"

    __UpperCamelCase     						=  []
    for i in range(image_processor_tester.batch_size					):
        if equal_resolution:
            __UpperCamelCase     						=  __UpperCamelCase     						=  image_processor_tester.max_resolution
        else:
            __UpperCamelCase						,					__UpperCamelCase     						=  np.random.choice(
                np.arange(image_processor_tester.min_resolution    ,   image_processor_tester.max_resolution					)    ,   2					)
            __UpperCamelCase     						=  prepare_video(
                image_processor_tester=lowercase_    ,   width=lowercase_    ,   height=lowercase_    ,   numpify=lowercase_    ,   torchify=lowercase_    ,   )
        video_inputs.append(lowercase_					)

    return video_inputs

class        _lowerCamelCase  (	unittest.TestCase      ):

      """simple docstring"""

      def __init__(   self    :       List[str]       ,				snake_case    :       int       ,				snake_case    :       int=7       ,				snake_case    :       int=3       ,				snake_case    :       Any=4       ,				snake_case    :       Tuple=18       ,				snake_case    :       Optional[int]=30       ,				snake_case    :       List[Any]=400       ,				snake_case    :       str=True       ,				snake_case    :       str=None       ,				snake_case    :       Optional[Any]=True       ,				snake_case    :       str=[0.5, 0.5, 0.5]       ,				snake_case    :       Optional[int]=[0.5, 0.5, 0.5]       ,				snake_case    :       Any=True       ,				snake_case    :       str=None       ,				):
          __UpperCamelCase     						=  size if size is not None else {'''shortest_edge''': 18}
          __UpperCamelCase     						=  crop_size if crop_size is not None else {'''height''': 18, '''width''': 18}

          __UpperCamelCase     						=  parent
          __UpperCamelCase     						=  batch_size
          __UpperCamelCase     						=  num_channels
          __UpperCamelCase     						=  num_frames
          __UpperCamelCase     						=  image_size
          __UpperCamelCase     						=  min_resolution
          __UpperCamelCase     						=  max_resolution
          __UpperCamelCase     						=  do_resize
          __UpperCamelCase     						=  size
          __UpperCamelCase     						=  do_normalize
          __UpperCamelCase     						=  image_mean
          __UpperCamelCase     						=  image_std
          __UpperCamelCase     						=  do_center_crop
          __UpperCamelCase     						=  crop_size







      def 					snake_case		(   self    :       Any ):
          return {
              "image_mean": self.image_mean,
              "image_std": self.image_std,
              "do_normalize": self.do_normalize,
              "do_resize": self.do_resize,
              "size": self.size,
              "do_center_crop": self.do_center_crop,
              "crop_size": self.crop_size,
          }







@require_torch
@require_vision
class        _lowerCamelCase  (	_SCREAMING_SNAKE_CASE							,	unittest.TestCase      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    TvltImageProcessor if is_vision_available() else None







      def 					snake_case		(   self    :       Dict ):
          __UpperCamelCase     						=  TvltImageProcessorTester(self )







      @property
      def 					snake_case		(   self    :       Dict ):
          return self.image_processor_tester.prepare_image_processor_dict()







      def 					snake_case		(   self    :       int ):
          __UpperCamelCase     						=  self.image_processing_class(**self.image_processor_dict )
          self.assertTrue(hasattr(snake_case       ,				'''image_mean''' ) )
          self.assertTrue(hasattr(snake_case       ,				'''image_std''' ) )
          self.assertTrue(hasattr(snake_case       ,				'''do_normalize''' ) )
          self.assertTrue(hasattr(snake_case       ,				'''do_resize''' ) )
          self.assertTrue(hasattr(snake_case       ,				'''do_center_crop''' ) )
          self.assertTrue(hasattr(snake_case       ,				'''size''' ) )







      def 					snake_case		(   self    :       Union[str, Any] ):
          # Initialize image_processor
          __UpperCamelCase     						=  self.image_processing_class(**self.image_processor_dict )
          # create random PIL videos
          __UpperCamelCase     						=  prepare_video_inputs(self.image_processor_tester       ,				equal_resolution=snake_case )
          for video in video_inputs:
              self.assertIsInstance(snake_case       ,				snake_case )
              self.assertIsInstance(video[0]       ,				Image.Image )

          # Test not batched input
          __UpperCamelCase     						=  image_processor(video_inputs[0]       ,				return_tensors='''pt''' ).pixel_values
          self.assertEqual(
              encoded_videos.shape       ,				(
                  1,
                  self.image_processor_tester.num_frames,
                  self.image_processor_tester.num_channels,
                  self.image_processor_tester.crop_size['''height'''],
                  self.image_processor_tester.crop_size['''width'''],
              )       ,				)

          # Test batched
          __UpperCamelCase     						=  image_processor(snake_case       ,				return_tensors='''pt''' ).pixel_values
          self.assertEqual(
              encoded_videos.shape       ,				(
                  self.image_processor_tester.batch_size,
                  self.image_processor_tester.num_frames,
                  self.image_processor_tester.num_channels,
                  self.image_processor_tester.crop_size['''height'''],
                  self.image_processor_tester.crop_size['''width'''],
              )       ,				)







      def 					snake_case		(   self    :       List[Any] ):
          # Initialize image_processor
          __UpperCamelCase     						=  self.image_processing_class(**self.image_processor_dict )
          # create random numpy tensors
          __UpperCamelCase     						=  prepare_video_inputs(self.image_processor_tester       ,				equal_resolution=snake_case       ,				numpify=snake_case )
          for video in video_inputs:
              self.assertIsInstance(snake_case       ,				snake_case )
              self.assertIsInstance(video[0]       ,				np.ndarray )

          # Test not batched input
          __UpperCamelCase     						=  image_processor(video_inputs[0]       ,				return_tensors='''pt''' ).pixel_values
          self.assertEqual(
              encoded_videos.shape       ,				(
                  1,
                  self.image_processor_tester.num_frames,
                  self.image_processor_tester.num_channels,
                  self.image_processor_tester.crop_size['''height'''],
                  self.image_processor_tester.crop_size['''width'''],
              )       ,				)

          # Test batched
          __UpperCamelCase     						=  image_processor(snake_case       ,				return_tensors='''pt''' ).pixel_values
          self.assertEqual(
              encoded_videos.shape       ,				(
                  self.image_processor_tester.batch_size,
                  self.image_processor_tester.num_frames,
                  self.image_processor_tester.num_channels,
                  self.image_processor_tester.crop_size['''height'''],
                  self.image_processor_tester.crop_size['''width'''],
              )       ,				)







      def 					snake_case		(   self    :       Union[str, Any] ):
          # Initialize image_processor
          __UpperCamelCase     						=  self.image_processing_class(**self.image_processor_dict )
          # create random PyTorch tensors
          __UpperCamelCase     						=  prepare_video_inputs(self.image_processor_tester       ,				equal_resolution=snake_case       ,				torchify=snake_case )
          for video in video_inputs:
              self.assertIsInstance(snake_case       ,				snake_case )
              self.assertIsInstance(video[0]       ,				torch.Tensor )

          # Test not batched input
          __UpperCamelCase     						=  image_processor(video_inputs[0]       ,				return_tensors='''pt''' ).pixel_values
          self.assertEqual(
              encoded_videos.shape       ,				(
                  1,
                  self.image_processor_tester.num_frames,
                  self.image_processor_tester.num_channels,
                  self.image_processor_tester.crop_size['''height'''],
                  self.image_processor_tester.crop_size['''width'''],
              )       ,				)

          # Test batched
          __UpperCamelCase     						=  image_processor(snake_case       ,				return_tensors='''pt''' ).pixel_values
          self.assertEqual(
              encoded_videos.shape       ,				(
                  self.image_processor_tester.batch_size,
                  self.image_processor_tester.num_frames,
                  self.image_processor_tester.num_channels,
                  self.image_processor_tester.crop_size['''height'''],
                  self.image_processor_tester.crop_size['''width'''],
              )       ,				)






