Source code for pyleecan.Classes.Notch

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Machine/Notch.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Machine/Notch
"""

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

# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
    from ..Methods.Machine.Notch.get_Rbo import get_Rbo
except ImportError as error:
    get_Rbo = error

try:
    from ..Methods.Machine.Notch.get_Ryoke import get_Ryoke
except ImportError as error:
    get_Ryoke = error

try:
    from ..Methods.Machine.Notch.is_outwards import is_outwards
except ImportError as error:
    is_outwards = error


from numpy import isnan
from ._check import InitUnKnowClassError


[docs]class Notch(FrozenClass): """Abstract class for notches""" VERSION = 1 # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Machine.Notch.get_Rbo if isinstance(get_Rbo, ImportError): get_Rbo = property( fget=lambda x: raise_( ImportError("Can't use Notch method get_Rbo: " + str(get_Rbo)) ) ) else: get_Rbo = get_Rbo # cf Methods.Machine.Notch.get_Ryoke if isinstance(get_Ryoke, ImportError): get_Ryoke = property( fget=lambda x: raise_( ImportError("Can't use Notch method get_Ryoke: " + str(get_Ryoke)) ) ) else: get_Ryoke = get_Ryoke # cf Methods.Machine.Notch.is_outwards if isinstance(is_outwards, ImportError): is_outwards = property( fget=lambda x: raise_( ImportError("Can't use Notch method is_outwards: " + str(is_outwards)) ) ) else: is_outwards = is_outwards # 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__"] == "Notch" 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)""" Notch_str = "" if self.parent is None: Notch_str += "parent = None " + linesep else: Notch_str += "parent = " + str(type(self.parent)) + " object" + linesep return Notch_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. """ Notch_dict = dict() # The class name is added to the dict for deserialisation purpose Notch_dict["__class__"] = "Notch" return Notch_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