'''simple docstring'''




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


_UpperCamelCase				:		List[str]       			=		logging.get_logger(__name__)

_UpperCamelCase				:		Any       			=		{
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}

class   _lowercase(     lowerCAmelCase_				):



   """simple docstring"""





   __lowerCamelCase    =  'swiftformer'





   def __init__(							self:    Optional[Any]			,a:    Optional[int]=3			,a:    Optional[Any]=[3, 3, 6, 4]			,a:    int=[48, 56, 112, 220]			,a:    Optional[int]=4			,a:    int=[True, True, True, True]			,a:    Optional[Any]="gelu"			,a:    Dict=3			,a:    List[Any]=2			,a:    Union[str, Any]=1			,a:    Tuple=0.0			,a:    Tuple=True			,a:    Optional[Any]=1e-5			,a:    Optional[int]=1e-5			,**a:    List[str]			,):
    super().__init__(**lowerCamelCase_	)
    __UpperCAmelCase         =					num_channels
    __UpperCAmelCase         =					depths
    __UpperCAmelCase         =					embed_dims
    __UpperCAmelCase         =					mlp_ratio
    __UpperCAmelCase         =					downsamples
    __UpperCAmelCase         =					hidden_act
    __UpperCAmelCase         =					down_patch_size
    __UpperCAmelCase         =					down_stride
    __UpperCAmelCase         =					down_pad
    __UpperCAmelCase         =					drop_path_rate
    __UpperCAmelCase         =					use_layer_scale
    __UpperCAmelCase         =					layer_scale_init_value
    __UpperCAmelCase         =					batch_norm_eps




class   _lowercase(     lowerCAmelCase_				):



   """simple docstring"""





   __lowerCamelCase    =  version.parse('''1.11'''				)





   @property
   def 			snake_case	(							self:    Optional[int]	):
    return OrderedDict(
        [
            ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
        ]	)





   @property
   def 			snake_case	(							self:    Optional[int]	):
    return 1e-4




'''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   _lowercase(     unittest.TestCase   ,_lowerCamelCase				):



   """simple docstring"""





   def 			snake_case	(							self:    Optional[int]	):
    __UpperCAmelCase         =					load_tool('image-captioning'	)
    self.tool.setup()
    __UpperCAmelCase         =					load_tool('image-captioning'			,remote=a	)





   def 			snake_case	(							self:    List[Any]	):
    __UpperCAmelCase         =					Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
    __UpperCAmelCase         =					self.tool(a	)
    self.assertEqual(a			,'two cats sleeping on a couch'	)





   def 			snake_case	(							self:    List[Any]	):
    __UpperCAmelCase         =					Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
    __UpperCAmelCase         =					self.remote_tool(a	)
    self.assertEqual(a			,'two cats sleeping on a couch'	)





   def 			snake_case	(							self:    Optional[Any]	):
    __UpperCAmelCase         =					Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
    __UpperCAmelCase         =					self.tool(image=a	)
    self.assertEqual(a			,'two cats sleeping on a couch'	)





   def 			snake_case	(							self:    Tuple	):
    __UpperCAmelCase         =					Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'	)	) / '000000039769.png'	)
    __UpperCAmelCase         =					self.remote_tool(image=a	)
    self.assertEqual(a			,'two cats sleeping on a couch'	)



