def create_squash_atts(attr_stretch, samples):
"""
Create attributes resolving a curve using the following formula.
s^(e^(x^2)))
see: http://www.wolframalpha.com/input/?i=%28x%5E2-1%29*-1
:param attr_stretch: # The stretch attribute.
:param samples: Number of samples to resolve.
"""
import libFormula
if not isinstance(attr_stretch, pymel.Attribute):
raise IOError("Expected pymel Attribute, got {0} ({1})".format(attr_stretch, type(attr_stretch)))
attr_stretch_inv = create_utility_node('multiplyDivide', operation=2, input1X=1.0, input2X=attr_stretch).outputX
return_vals = []
for i in range(samples):
pos = float(i) / (samples - 1) * 2.0 - 1.0
# Blend between no squash and full squash using a bell curve.
# 0 = Maximum Squash
# 1 = No Squash
# see see: http://www.wolframalpha.com/input/?i=%28x%5E2-1%29*-1
blend = libFormula.parse("x^2", x=pos)
attr_squash = libFormula.parse("((max-min)*blend)+min",
min=attr_stretch_inv,
max=1,
blend=blend
)
return_vals.append(attr_squash)
return return_vals
def create_squash_atts(attStretch, numSegments):
import libFormula
if not isinstance(attStretch, pymel.Attribute):
raise IOError("Expected pymel Attribute, got {0} ({1})".format(attStretch, type(attStretch)))
return_vals = []
for i in range(numSegments):
pos = float(i)/(numSegments-1) * 2.0 - 1.0
attSquash = libFormula.parse("s^(e^(x^2)))", s=attStretch, x=pos)
return_vals.append(attSquash)
return return_vals
