# Path: brainforge/llatomic/_llutil.py
# def Xd(X, t=nbfloatX):
# 
# Path: brainforge/util/typing.py
# def scalX(scalar, dtype=floatX):
#     return np.asscalar(np.array([scalar], dtype=dtype))


import numpy as np
import numba as nb
from ._llutil import floatX, Xd, nbfloatX
from brainforge.util.typing import scalX


s0 = scalX(0., floatX)
s1 = scalX(1., floatX)
s2 = scalX(2., floatX)


# Path: brainforge/llatomic/_llutil.py
# def Xd(X, t=nbfloatX):
# 
# Path: brainforge/util/typing.py
# def scalX(scalar, dtype=floatX):
#     return np.asscalar(np.array([scalar], dtype=dtype))


# Path: brainforge/llatomic/_llactivation.py
import numpy as np
import numba as nb
from ._llutil import floatX, Xd, nbfloatX
from brainforge.util.typing import scalX



s0 = scalX(0., floatX)
s1 = scalX(1., floatX)
s2 = scalX(2., floatX)


finfout = "{t}({t})".format(t=nbfloatX)