Source code for pyleecan.Classes.ScalarProduct
# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Mesh/Interpolation/ScalarProduct.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Mesh/ScalarProduct
"""
from os import linesep
from sys import getsizeof
from logging import getLogger
from ._check import check_var, raise_
from ..Functions.get_logger import get_logger
from ..Functions.save import save
from ..Functions.load import load_init_dict
from ..Functions.Load.import_class import import_class
from copy import deepcopy
from ._frozen import FrozenClass
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class ScalarProduct(FrozenClass):
"""Store shape functions definition in the reference element"""
VERSION = 1
# generic save method is available in all object
save = save
# get_logger method is available in all object
get_logger = get_logger
def __init__(self, init_dict=None, init_str=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 dictionary 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 init_dict is not None: # Initialisation by dict
assert "__class__" in init_dict
assert init_dict["__class__"] == "ScalarProduct"
if init_str is not None: # Initialisation by str
assert type(init_str) is str
# The class is frozen, for now it's impossible to add new properties
self.parent = None
self._freeze()
def __str__(self):
"""Convert this object in a readeable string (for print)"""
ScalarProduct_str = ""
if self.parent is None:
ScalarProduct_str += "parent = None " + linesep
else:
ScalarProduct_str += (
"parent = " + str(type(self.parent)) + " object" + linesep
)
return ScalarProduct_str
def __eq__(self, other):
"""Compare two objects (skip parent)"""
if type(other) != type(self):
return False
return True
[docs] def compare(self, other, name="self", ignore_list=None, is_add_value=False):
"""Compare two objects and return list of differences"""
if ignore_list is None:
ignore_list = list()
if type(other) != type(self):
return ["type(" + name + ")"]
diff_list = list()
# Filter ignore differences
diff_list = list(filter(lambda x: x not in ignore_list, diff_list))
return diff_list
def __sizeof__(self):
"""Return the size in memory of the object (including all subobject)"""
S = 0 # Full size of the object
return S
[docs] def as_dict(self, type_handle_ndarray=0, keep_function=False, **kwargs):
"""
Convert this object in a json serializable dict (can be use in __init__).
type_handle_ndarray: int
How to handle ndarray (0: tolist, 1: copy, 2: nothing)
keep_function : bool
True to keep the function object, else return str
Optional keyword input parameter is for internal use only
and may prevent json serializability.
"""
ScalarProduct_dict = dict()
# The class name is added to the dict for deserialisation purpose
ScalarProduct_dict["__class__"] = "ScalarProduct"
return ScalarProduct_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
# Creates new object of the same type with the copied properties
obj_copy = type(self)()
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
pass