Source code for pyleecan.Classes.ScalarProductL2

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Mesh/Interpolation/ScalarProductL2.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at

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 import save
from ..Functions.load import load_init_dict
from ..Functions.Load.import_class import import_class
from copy import deepcopy
from .ScalarProduct import ScalarProduct

# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
    from ..Methods.Mesh.ScalarProductL2.scalar_product import scalar_product
except ImportError as error:
    scalar_product = error

from numpy import isnan
from ._check import InitUnKnowClassError

[docs]class ScalarProductL2(ScalarProduct): """Store shape functions definition in the reference element""" VERSION = 1 # cf Methods.Mesh.ScalarProductL2.scalar_product if isinstance(scalar_product, ImportError): scalar_product = property( fget=lambda x: raise_( ImportError( "Can't use ScalarProductL2 method scalar_product: " + str(scalar_product) ) ) ) else: scalar_product = scalar_product # 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 three ways : - __init__ (arg1 = 1, arg3 = 5) every parameters have name and default values for pyleecan type, -1 will call the default constructor - __init__ (init_dict = d) d must be a dictionary with property names as keys - __init__ (init_str = s) s must be a string s is the file path to load ndarray or list can be given for Vector and Matrix object or dict can be given for pyleecan Object""" if init_str is not None: # Load from a file init_dict = load_init_dict(init_str)[1] if init_dict is not None: # Initialisation by dict assert type(init_dict) is dict # Overwrite default value with init_dict content # Set the properties (value check and convertion are done in setter) # Call ScalarProduct init super(ScalarProductL2, self).__init__() # The class is frozen (in ScalarProduct init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" ScalarProductL2_str = "" # Get the properties inherited from ScalarProduct ScalarProductL2_str += super(ScalarProductL2, self).__str__() return ScalarProductL2_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from ScalarProduct if not super(ScalarProductL2, self).__eq__(other): 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() # Check the properties inherited from ScalarProduct diff_list.extend( super(ScalarProductL2, self).compare( other, name=name, ignore_list=ignore_list, is_add_value=is_add_value ) ) # 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 # Get size of the properties inherited from ScalarProduct S += super(ScalarProductL2, self).__sizeof__() 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. """ # Get the properties inherited from ScalarProduct ScalarProductL2_dict = super(ScalarProductL2, self).as_dict( type_handle_ndarray=type_handle_ndarray, keep_function=keep_function, **kwargs ) # The class name is added to the dict for deserialisation purpose # Overwrite the mother class name ScalarProductL2_dict["__class__"] = "ScalarProductL2" return ScalarProductL2_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)""" # Set to None the properties inherited from ScalarProduct super(ScalarProductL2, self)._set_None()