
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__magic_name__  :  Optional[int]     			=   logging.get_logger(__name__)

__magic_name__  :  Dict     			=   {
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}


class 							lowerCamelCase       (		__snake_case					):



  """simple docstring"""





  lowerCAmelCase_								=		"""regnet"""
  lowerCAmelCase_								=		["""x""", """y"""]

  def __init__(					self						,    __UpperCamelCase=3						,    __UpperCamelCase=32						,    __UpperCamelCase=[128, 192, 512, 1088]						,    __UpperCamelCase=[2, 6, 12, 2]						,    __UpperCamelCase=64						,    __UpperCamelCase="y"						,    __UpperCamelCase="relu"						,    **__UpperCamelCase						,    ):
      super().__init__(**__UpperCamelCase					)
      if layer_type not in self.layer_types:
          raise ValueError(f'layer_type={layer_type} is not one of {",".join(self.layer_types					)}'					)
      A_								=					num_channels
      A_								=					embedding_size
      A_								=					hidden_sizes
      A_								=					depths
      A_								=					groups_width
      A_								=					layer_type
      A_								=					hidden_act
      # always downsample in the first stage
      A_								=					True








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 							lowerCamelCase       (		unittest.TestCase			,  __snake_case					):



  """simple docstring"""





  def 					lowercase_						(					self					):
      A_								=					load_tool("image-question-answering"					)
      self.tool.setup()
      A_								=					load_tool("image-question-answering"						,    remote=__UpperCamelCase					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.tool(__UpperCamelCase						,    "How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.remote_tool(__UpperCamelCase						,    "How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.tool(image=__UpperCamelCase						,    question="How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)

  def 					lowercase_						(					self					):
      A_								=					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"					)					) / "000000039769.png"					)
      A_								=					self.remote_tool(image=__UpperCamelCase						,    question="How many cats are sleeping on the couch?"					)
      self.assertEqual(__UpperCamelCase						,    "2"					)






