def __init__(self, dvName, lower, upper, scale, axis, coefListIn, mask,
config, sectionTransform, sectionLink):
"""
Create a set of geometric design variables which change the shape
of a surface.
See `addLocalSectionDV` for more information
"""
self.coefList = []
# create a new coefficent list that excludes any values that are masked
for i in range(len(coefListIn)):
if not mask[coefListIn[i]]:
self.coefList.append(coefListIn[i])
self.nVal = len(self.coefList)
self.value = np.zeros(self.nVal, "D")
self.name = dvName
self.lower = None
self.upper = None
self.config = config
if lower is not None:
self.lower = convertTo1D(lower, self.nVal)
if upper is not None:
self.upper = convertTo1D(upper, self.nVal)
if scale is not None:
self.scale = convertTo1D(scale, self.nVal)
self.sectionTransform = sectionTransform
self.sectionLink = sectionLink
self.axis = axis
def __init__(self, name, value, nVal, lower, upper, scale):
self.name = name
self.value = value
self.nVal = nVal
self.lower = self.upper = self.scale = None
if lower is not None:
self.lower = convertTo1D(lower, self.nVal)
if upper is not None:
self.upper = convertTo1D(upper, self.nVal)
if scale is not None:
self.scale = convertTo1D(scale, self.nVal)
def __init__(self, dvName, lower, upper, scale, axis, vol_dv_to_coefs,
mask, config):
"""Create a set of geometric design variables which change the shape
of a surface surface_id. Local design variables change the surface
in all three axis.
See addLocalDV for more information
"""
self.dv_to_coefs = []
# add all the coefs to a flat array, but check that it isn't masked first
for ivol in range(len(vol_dv_to_coefs)):
for loc_dv in range(len(vol_dv_to_coefs[ivol])):
coefs = vol_dv_to_coefs[ivol][loc_dv]
loc_dv_to_coefs = []
# loop through each of coefs to see if it is masked
for coef in coefs:
if not mask[coef]:
loc_dv_to_coefs.append(coef)
self.dv_to_coefs.append(loc_dv_to_coefs)
if "x" == axis.lower():
self.axis = 0
elif "y" == axis.lower():
self.axis = 1
elif "z" == axis.lower():
self.axis = 2
else:
raise NotImplementedError
self.nVal = len(self.dv_to_coefs)
self.value = np.zeros(self.nVal, "D")
self.name = dvName
self.lower = None
self.upper = None
self.config = config
if lower is not None:
self.lower = convertTo1D(lower, self.nVal)
if upper is not None:
self.upper = convertTo1D(upper, self.nVal)
if scale is not None:
self.scale = convertTo1D(scale, self.nVal)
def __init__(self, dv_name, value, lower, upper, scale, function, config):
"""Create a geometric design variable (or design variable group)
See addGlobalDV in DVGeometry class for more information
"""
self.name = dv_name
self.value = np.atleast_1d(np.array(value)).astype("D")
self.nVal = len(self.value)
self.lower = None
self.upper = None
self.config = config
self.function = function
if lower is not None:
self.lower = convertTo1D(lower, self.nVal)
if upper is not None:
self.upper = convertTo1D(upper, self.nVal)
if scale is not None:
self.scale = convertTo1D(scale, self.nVal)
def __init__(self, dvName, lower, upper, scale, axis, coefListIn, mask,
config):
"""Create a set of geometric design variables which change the shape
of a surface surface_id. Local design variables change the surface
in all three axis.
See addLocalDV for more information
"""
coefList = []
# create a new coefficent list that excludes any values that are masked
for i in range(len(coefListIn)):
if not mask[coefListIn[i]]:
coefList.append(coefListIn[i])
N = len(axis)
self.nVal = len(coefList) * N
self.value = np.zeros(self.nVal, "D")
self.name = dvName
self.lower = None
self.upper = None
self.config = config
if lower is not None:
self.lower = convertTo1D(lower, self.nVal)
if upper is not None:
self.upper = convertTo1D(upper, self.nVal)
if scale is not None:
self.scale = convertTo1D(scale, self.nVal)
self.coefList = np.zeros((self.nVal, 2), "intc")
j = 0
for i in range(len(coefList)):
if "x" in axis.lower():
self.coefList[j] = [coefList[i], 0]
j += 1
elif "y" in axis.lower():
self.coefList[j] = [coefList[i], 1]
j += 1
elif "z" in axis.lower():
self.coefList[j] = [coefList[i], 2]
j += 1
def __init__(self, name, value, nVal, u, scale=1.0, s=None):
"""
Create a set of design variables which are linear combinations of existing design variables.
"""
super().__init__(name=name,
value=value,
nVal=nVal,
lower=None,
upper=None,
scale=convertTo1D(scale, nVal))
self.u = u
self.s = s