


"""simple docstring"""


import numpy as np






def      a__ (				__lowercase     ,			__lowercase   )	->	np.ndarray:
				return np.where(vector > 0     ,			__lowercase     ,			(alpha * (np.exp(__lowercase   ) - 1))   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



"""simple docstring"""


import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin
class snake_case      (  unittest.TestCase     ,				_UpperCamelCase):







		def  a_ (					self      :       Optional[Any]		)       ->						List[str]:





						'''simple docstring'''







						_A					  =			load_tool("text-classification"		)
						self.tool.setup()
						_A					  =			load_tool("text-classification"    ,   remote=a__		)







		def  a_ (					self      :       Optional[int]		)       ->						Dict:





						'''simple docstring'''







						_A					  =			self.tool("That's quite cool"    ,   ["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)







		def  a_ (					self      :       Optional[Any]		)       ->						Dict:





						'''simple docstring'''







						_A					  =			self.remote_tool("That's quite cool"    ,   ["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)







		def  a_ (					self      :       Dict		)       ->						Optional[int]:





						'''simple docstring'''







						_A					  =			self.tool(text="That's quite cool"    ,   labels=["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)







		def  a_ (					self      :       Dict		)       ->						Any:





						'''simple docstring'''







						_A					  =			self.remote_tool(text="That's quite cool"    ,   labels=["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)