def __init__(self, alpha=0, notch_shape=-1, init_dict=None):
"""Constructor of the class. Can be use in two ways :
- __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values
for Matrix, None will initialise the property with an empty Matrix
for pyleecan type, None will call the default constructor
- __init__ (init_dict = d) d must be a dictionnary wiht every properties as keys
ndarray or list can be given for Vector and Matrix
object or dict can be given for pyleecan Object"""
if notch_shape == -1:
notch_shape = Slot()
if init_dict is not None: # Initialisation by dict
check_init_dict(init_dict, ["alpha", "notch_shape"])
# Overwrite default value with init_dict content
if "alpha" in list(init_dict.keys()):
alpha = init_dict["alpha"]
if "notch_shape" in list(init_dict.keys()):
notch_shape = init_dict["notch_shape"]
# Initialisation by argument
self.alpha = alpha
# notch_shape can be None, a Slot object or a dict
if isinstance(notch_shape, dict):
# Check that the type is correct (including daughter)
class_name = notch_shape.get("__class__")
if class_name not in [
"Slot",
"Slot19",
"SlotMFlat",
"SlotMPolar",
"SlotMag",
"SlotUD",
"SlotW10",
"SlotW11",
"SlotW12",
"SlotW13",
"SlotW14",
"SlotW15",
"SlotW16",
"SlotW21",
"SlotW22",
"SlotW23",
"SlotW24",
"SlotW25",
"SlotW26",
"SlotW27",
"SlotW28",
"SlotW29",
"SlotW60",
"SlotW61",
"SlotWind",
]:
raise InitUnKnowClassError("Unknow class name " + class_name +
" in init_dict for notch_shape")
# Dynamic import to call the correct constructor
module = __import__("pyleecan.Classes." + class_name,
fromlist=[class_name])
class_obj = getattr(module, class_name)
self.notch_shape = class_obj(init_dict=notch_shape)
else:
self.notch_shape = notch_shape
# Call Notch init
super(NotchEvenDist, self).__init__()
def __init__(
self,
slot=-1,
L1=0.35,
mat_type=-1,
Nrvd=0,
Wrvd=0,
Kf1=0.95,
is_internal=True,
Rint=0,
Rext=1,
is_stator=True,
axial_vent=list(),
notch=list(),
init_dict=None,
):
"""Constructor of the class. Can be use in two ways :
- __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values
for Matrix, None will initialise the property with an empty Matrix
for pyleecan type, None will call the default constructor
- __init__ (init_dict = d) d must be a dictionnary wiht every properties as keys
ndarray or list can be given for Vector and Matrix
object or dict can be given for pyleecan Object"""
if slot == -1:
slot = Slot()
if mat_type == -1:
mat_type = Material()
if init_dict is not None: # Initialisation by dict
check_init_dict(
init_dict,
[
"slot",
"L1",
"mat_type",
"Nrvd",
"Wrvd",
"Kf1",
"is_internal",
"Rint",
"Rext",
"is_stator",
"axial_vent",
"notch",
],
)
# Overwrite default value with init_dict content
if "slot" in list(init_dict.keys()):
slot = init_dict["slot"]
if "L1" in list(init_dict.keys()):
L1 = init_dict["L1"]
if "mat_type" in list(init_dict.keys()):
mat_type = init_dict["mat_type"]
if "Nrvd" in list(init_dict.keys()):
Nrvd = init_dict["Nrvd"]
if "Wrvd" in list(init_dict.keys()):
Wrvd = init_dict["Wrvd"]
if "Kf1" in list(init_dict.keys()):
Kf1 = init_dict["Kf1"]
if "is_internal" in list(init_dict.keys()):
is_internal = init_dict["is_internal"]
if "Rint" in list(init_dict.keys()):
Rint = init_dict["Rint"]
if "Rext" in list(init_dict.keys()):
Rext = init_dict["Rext"]
if "is_stator" in list(init_dict.keys()):
is_stator = init_dict["is_stator"]
if "axial_vent" in list(init_dict.keys()):
axial_vent = init_dict["axial_vent"]
if "notch" in list(init_dict.keys()):
notch = init_dict["notch"]
# Initialisation by argument
# slot can be None, a Slot object or a dict
if isinstance(slot, dict):
# Check that the type is correct (including daughter)
class_name = slot.get("__class__")
if class_name not in [
"Slot",
"Slot19",
"SlotMFlat",
"SlotMPolar",
"SlotW10",
"SlotW11",
"SlotW12",
"SlotW13",
"SlotW14",
"SlotW15",
"SlotW16",
"SlotW21",
"SlotW22",
"SlotW23",
"SlotW24",
"SlotW25",
"SlotW26",
"SlotW27",
"SlotW28",
"SlotW29",
"SlotW60",
"SlotW61",
]:
raise InitUnKnowClassError("Unknow class name " + class_name +
" in init_dict for slot")
# Dynamic import to call the correct constructor
module = __import__("pyleecan.Classes." + class_name,
fromlist=[class_name])
class_obj = getattr(module, class_name)
self.slot = class_obj(init_dict=slot)
else:
self.slot = slot
# Call Lamination init
super(LamSlot, self).__init__(
L1=L1,
mat_type=mat_type,
Nrvd=Nrvd,
Wrvd=Wrvd,
Kf1=Kf1,
is_internal=is_internal,
Rint=Rint,
Rext=Rext,
is_stator=is_stator,
axial_vent=axial_vent,
notch=notch,
)
def __init__(
self,
slot=-1,
L1=0.35,
mat_type=-1,
Nrvd=0,
Wrvd=0,
Kf1=0.95,
is_internal=True,
Rint=0,
Rext=1,
is_stator=True,
axial_vent=list(),
init_dict=None,
):
"""Constructor of the class. Can be use in two ways :
- __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values
for Matrix, None will initialise the property with an empty Matrix
for pyleecan type, None will call the default constructor
- __init__ (init_dict = d) d must be a dictionnary wiht every properties as keys
ndarray or list can be given for Vector and Matrix
object or dict can be given for pyleecan Object"""
if slot == -1:
slot = Slot()
if mat_type == -1:
mat_type = Material()
if init_dict is not None: # Initialisation by dict
check_init_dict(
init_dict,
[
"slot",
"L1",
"mat_type",
"Nrvd",
"Wrvd",
"Kf1",
"is_internal",
"Rint",
"Rext",
"is_stator",
"axial_vent",
],
)
# Overwrite default value with init_dict content
if "slot" in list(init_dict.keys()):
slot = init_dict["slot"]
if "L1" in list(init_dict.keys()):
L1 = init_dict["L1"]
if "mat_type" in list(init_dict.keys()):
mat_type = init_dict["mat_type"]
if "Nrvd" in list(init_dict.keys()):
Nrvd = init_dict["Nrvd"]
if "Wrvd" in list(init_dict.keys()):
Wrvd = init_dict["Wrvd"]
if "Kf1" in list(init_dict.keys()):
Kf1 = init_dict["Kf1"]
if "is_internal" in list(init_dict.keys()):
is_internal = init_dict["is_internal"]
if "Rint" in list(init_dict.keys()):
Rint = init_dict["Rint"]
if "Rext" in list(init_dict.keys()):
Rext = init_dict["Rext"]
if "is_stator" in list(init_dict.keys()):
is_stator = init_dict["is_stator"]
if "axial_vent" in list(init_dict.keys()):
axial_vent = init_dict["axial_vent"]
# Initialisation by argument
# slot can be None, a Slot object or a dict
if isinstance(slot, dict):
# Call the correct constructor according to the dict
load_dict = {
"SlotMFlat": SlotMFlat,
"SlotMPolar": SlotMPolar,
"SlotW10": SlotW10,
"SlotW11": SlotW11,
"SlotW12": SlotW12,
"SlotW13": SlotW13,
"SlotW14": SlotW14,
"SlotW15": SlotW15,
"SlotW16": SlotW16,
"SlotW21": SlotW21,
"SlotW22": SlotW22,
"SlotW23": SlotW23,
"SlotW24": SlotW24,
"SlotW25": SlotW25,
"SlotW26": SlotW26,
"SlotW27": SlotW27,
"SlotW28": SlotW28,
"SlotW29": SlotW29,
"SlotW60": SlotW60,
"SlotW61": SlotW61,
"Slot": Slot,
}
obj_class = slot.get("__class__")
if obj_class is None:
self.slot = Slot(init_dict=slot)
elif obj_class in list(load_dict.keys()):
self.slot = load_dict[obj_class](init_dict=slot)
else: # Avoid generation error or wrong modification in json
raise InitUnKnowClassError("Unknow class name in init_dict for slot")
else:
self.slot = slot
# Call Lamination init
super(LamSlot, self).__init__(
L1=L1,
mat_type=mat_type,
Nrvd=Nrvd,
Wrvd=Wrvd,
Kf1=Kf1,
is_internal=is_internal,
Rint=Rint,
Rext=Rext,
is_stator=is_stator,
axial_vent=axial_vent,
)