


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_snake_case					=					logging.get_logger(__name__)

_snake_case					=					{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}
class      UpperCAmelCase_ ( UpperCamelCase   ):

   '''simple docstring'''




   __A			:				Optional[int]							=		"swiftformer"






   def __init__(		self						,    __A=3						,    __A=[3, 3, 6, 4]						,    __A=[48, 56, 112, 220]						,    __A=4						,    __A=[True, True, True, True]						,    __A="gelu"						,    __A=3						,    __A=2						,    __A=1						,    __A=0.0						,    __A=True						,    __A=1e-5						,    __A=1e-5						,    **__A						,    ):






     """simple docstring"""





     super().__init__(**__A			)
     lowerCamelCase			: Any   =    num_channels
     lowerCamelCase			: Any   =    depths
     lowerCamelCase			: List[str]   =    embed_dims
     lowerCamelCase			: int   =    mlp_ratio
     lowerCamelCase			: Any   =    downsamples
     lowerCamelCase			: Union[str, Any]   =    hidden_act
     lowerCamelCase			: Dict   =    down_patch_size
     lowerCamelCase			: str   =    down_stride
     lowerCamelCase			: Dict   =    down_pad
     lowerCamelCase			: List[str]   =    drop_path_rate
     lowerCamelCase			: Tuple   =    use_layer_scale
     lowerCamelCase			: Optional[int]   =    layer_scale_init_value
     lowerCamelCase			: Dict   =    batch_norm_eps



class      UpperCAmelCase_ ( UpperCamelCase   ):

   '''simple docstring'''




   __A			:				List[str]							=		version.parse("1.11"   )






   @property
   def _snake_case   (		self			):






     """simple docstring"""





     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]			)






   @property
   def _snake_case   (		self			):






     """simple docstring"""





     return 1e-4







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      UpperCAmelCase_ ( unittest.TestCase		,			UpperCamelCase   ):

   '''simple docstring'''




   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: List[Any]   =    load_tool("image-segmentation"			)
     self.tool.setup()
     lowerCamelCase			: Optional[Any]   =    load_tool("image-segmentation"						,    remote=__A			)






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: List[str]   =    Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
     lowerCamelCase			: Dict   =    self.tool(__A						,    "cat"			)
     self.assertTrue(isinstance(__A						,    Image.Image			)			)






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: int   =    Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
     lowerCamelCase			: int   =    self.remote_tool(__A						,    "cat"			)
     self.assertTrue(isinstance(__A						,    Image.Image			)			)






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Optional[int]   =    Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
     lowerCamelCase			: Optional[Any]   =    self.tool(image=__A						,    label="cat"			)
     self.assertTrue(isinstance(__A						,    Image.Image			)			)






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: str   =    Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"			)
     lowerCamelCase			: Dict   =    self.remote_tool(image=__A						,    label="cat"			)
     self.assertTrue(isinstance(__A						,    Image.Image			)			)



