





"""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


a_				=    logging.get_logger(__name__)

a_				=    {
    """MBZUAI/swiftformer-xs""": """https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json""",
}






class 	__snake_case      (	SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 _lowerCamelCase				 =  """swiftformer"""

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



     '''simple docstring'''




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






class 	__snake_case      (	SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 _lowerCamelCase				 =  version.parse("""1.11"""  )

 @property
 def       UpperCamelCase__(					self						):



     '''simple docstring'''




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







 @property
 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     return 1e-4











"""simple docstring"""



import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


a_				=    """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""






class 	__snake_case      (	unittest.TestCase							,							SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		Optional[Any]						=  load_tool('''summarization'''						)
     self.tool.setup()
     __A					:		Tuple						=  load_tool('''summarization'''      ,		remote=__lowerCamelCase						)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		List[str]						=  self.tool(__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		int						=  self.remote_tool(__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		List[Any]						=  self.tool(text=__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)







 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		Optional[int]						=  self.remote_tool(text=__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)




