
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase    :	Dict						=     logging.get_logger(__name__)

__UpperCamelCase    :	List[str]						=     {
    '''ZinengTang/tvlt-base''': '''https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json''',
}







class 			a       (      lowerCAmelCase__     ):
 snake_case__								=					'''tvlt'''



 def __init__(    self							,					_snake_case=2_24							,					_snake_case=20_48							,					_snake_case=1_28							,					_snake_case=[16, 16]							,					_snake_case=[16, 16]							,					_snake_case=3							,					_snake_case=1							,					_snake_case=8							,					_snake_case=7_68							,					_snake_case=12							,					_snake_case=12							,					_snake_case=30_72							,					_snake_case="gelu"							,					_snake_case=0.0							,					_snake_case=0.0							,					_snake_case=0.02							,					_snake_case=1E-6							,					_snake_case=True							,					_snake_case=False							,					_snake_case=16							,					_snake_case=5_12							,					_snake_case=8							,					_snake_case=20_48							,					_snake_case=0.75							,					_snake_case=0.15							,					_snake_case="frame-level"							,					_snake_case=True							,					_snake_case=True							,					_snake_case="classification"							,					**_snake_case							,					):







  """simple docstring"""






  super().__init__(**_lowerCamelCase    )

  if audio_mask_type not in ("frame-level", "patch_level"):
   raise ValueError(
       'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
       F'got {audio_mask_type}'    )

  lowerCAmelCase													=   image_size
  lowerCAmelCase													=   spectrogram_length
  lowerCAmelCase													=   frequency_length
  lowerCAmelCase													=   image_patch_size
  lowerCAmelCase													=   audio_patch_size
  lowerCAmelCase													=   num_image_channels
  lowerCAmelCase													=   num_audio_channels
  lowerCAmelCase													=   num_frames

  lowerCAmelCase													=   hidden_size
  lowerCAmelCase													=   num_hidden_layers
  lowerCAmelCase													=   num_attention_heads
  lowerCAmelCase													=   intermediate_size
  lowerCAmelCase													=   hidden_act
  lowerCAmelCase													=   hidden_dropout_prob
  lowerCAmelCase													=   attention_probs_dropout_prob
  lowerCAmelCase													=   initializer_range
  lowerCAmelCase													=   layer_norm_eps
  lowerCAmelCase													=   qkv_bias
  lowerCAmelCase													=   use_mean_pooling

  lowerCAmelCase													=   decoder_num_attention_heads
  lowerCAmelCase													=   decoder_hidden_size
  lowerCAmelCase													=   decoder_num_hidden_layers
  lowerCAmelCase													=   decoder_intermediate_size
  lowerCAmelCase													=   pixel_mask_ratio
  lowerCAmelCase													=   audio_mask_ratio
  lowerCAmelCase													=   audio_mask_type

  lowerCAmelCase													=   task_matching
  lowerCAmelCase													=   task_mae
  lowerCAmelCase													=   loss_type












"""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 			a       (      unittest.TestCase      ,   a__     ):



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   load_tool('image-question-answering'    )
  self.tool.setup()
  lowerCAmelCase													=   load_tool('image-question-answering'							,					remote=_snake_case    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.tool(_snake_case							,					'How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.remote_tool(_snake_case							,					'How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.tool(image=_snake_case							,					question='How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.remote_tool(image=_snake_case							,					question='How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )





