Source code for pyleecan.Classes.Structural

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

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.Simulation.Structural.run import run
except ImportError as error:
    run = error

try:
    from ..Methods.Simulation.Structural.comp_axes import comp_axes
except ImportError as error:
    comp_axes = error


from numpy import isnan
from ._check import InitUnKnowClassError


[docs]class Structural(FrozenClass): """Structural module abstract object""" VERSION = 1 # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Simulation.Structural.run if isinstance(run, ImportError): run = property( fget=lambda x: raise_( ImportError("Can't use Structural method run: " + str(run)) ) ) else: run = run # cf Methods.Simulation.Structural.comp_axes if isinstance(comp_axes, ImportError): comp_axes = property( fget=lambda x: raise_( ImportError("Can't use Structural method comp_axes: " + str(comp_axes)) ) ) else: comp_axes = comp_axes # 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, logger_name="Pyleecan.Structural", 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 if "logger_name" in list(init_dict.keys()): logger_name = init_dict["logger_name"] # Set the properties (value check and convertion are done in setter) self.parent = None self.logger_name = logger_name # The class is frozen, for now it's impossible to add new properties self._freeze() def __str__(self): """Convert this object in a readeable string (for print)""" Structural_str = "" if self.parent is None: Structural_str += "parent = None " + linesep else: Structural_str += "parent = " + str(type(self.parent)) + " object" + linesep Structural_str += 'logger_name = "' + str(self.logger_name) + '"' + linesep return Structural_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False if other.logger_name != self.logger_name: 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() if other._logger_name != self._logger_name: if is_add_value: val_str = ( " (self=" + str(self._logger_name) + ", other=" + str(other._logger_name) + ")" ) diff_list.append(name + ".logger_name" + val_str) else: diff_list.append(name + ".logger_name") # 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 S += getsizeof(self.logger_name) 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. """ Structural_dict = dict() Structural_dict["logger_name"] = self.logger_name # The class name is added to the dict for deserialisation purpose Structural_dict["__class__"] = "Structural" return Structural_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties logger_name_val = self.logger_name # Creates new object of the same type with the copied properties obj_copy = type(self)(logger_name=logger_name_val) return obj_copy
def _set_None(self): """Set all the properties to None (except pyleecan object)""" self.logger_name = None def _get_logger_name(self): """getter of logger_name""" return self._logger_name def _set_logger_name(self, value): """setter of logger_name""" check_var("logger_name", value, "str") self._logger_name = value logger_name = property( fget=_get_logger_name, fset=_set_logger_name, doc=u"""Name of the logger to use :Type: str """, )