
"""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    __lowerCamelCase     (   unittest.TestCase	,  lowerCAmelCase ):




				def 					UpperCAmelCase__	(							self      ):
							lowerCamelCase_ 		=     load_tool('''summarization'''      )
							self.tool.setup()
							lowerCamelCase_ 		=     load_tool('''summarization'''       ,	remote=UpperCAmelCase      )




				def 					UpperCAmelCase__	(							self      ):
							lowerCamelCase_ 		=     self.tool(UpperCAmelCase      )
							self.assertEqual(
							    UpperCAmelCase       ,	'''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      ):
							lowerCamelCase_ 		=     self.remote_tool(UpperCAmelCase      )
							self.assertEqual(
							    UpperCAmelCase       ,	'''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      ):
							lowerCamelCase_ 		=     self.tool(text=UpperCAmelCase      )
							self.assertEqual(
							    UpperCAmelCase       ,	'''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      ):
							lowerCamelCase_ 		=     self.remote_tool(text=UpperCAmelCase      )
							self.assertEqual(
							    UpperCAmelCase       ,	'''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.'''       ,	)





"""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    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			Any									=						'swiftformer'




				def __init__(							self       ,	UpperCAmelCase=3       ,	UpperCAmelCase=[3, 3, 6, 4]       ,	UpperCAmelCase=[48, 56, 112, 220]       ,	UpperCAmelCase=4       ,	UpperCAmelCase=[True, True, True, True]       ,	UpperCAmelCase="gelu"       ,	UpperCAmelCase=3       ,	UpperCAmelCase=2       ,	UpperCAmelCase=1       ,	UpperCAmelCase=0.0       ,	UpperCAmelCase=True       ,	UpperCAmelCase=1e-5       ,	UpperCAmelCase=1e-5       ,	**UpperCAmelCase       ,	):
							super().__init__(**UpperCAmelCase      )
							lowerCamelCase_ 		=     num_channels
							lowerCamelCase_ 		=     depths
							lowerCamelCase_ 		=     embed_dims
							lowerCamelCase_ 		=     mlp_ratio
							lowerCamelCase_ 		=     downsamples
							lowerCamelCase_ 		=     hidden_act
							lowerCamelCase_ 		=     down_patch_size
							lowerCamelCase_ 		=     down_stride
							lowerCamelCase_ 		=     down_pad
							lowerCamelCase_ 		=     drop_path_rate
							lowerCamelCase_ 		=     use_layer_scale
							lowerCamelCase_ 		=     layer_scale_init_value
							lowerCamelCase_ 		=     batch_norm_eps




class    __lowerCamelCase     (   lowerCAmelCase ):
				a__:			str									=						version.parse('1.11' )




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





				@property
				def 					UpperCAmelCase__	(							self      ):
							return 1e-4



