Source code for pyleecan.Classes.ImportMatrixVal

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Import/ImportMatrixVal.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 set_array, check_var, raise_
from ..Functions.get_logger import get_logger
from import save
from ..Functions.copy import copy
from ..Functions.load import load_init_dict
from ..Functions.Load.import_class import import_class
from .ImportMatrix import ImportMatrix

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

from numpy import array, array_equal
from ._check import InitUnKnowClassError

[docs]class ImportMatrixVal(ImportMatrix): """Import directly the value from the object""" VERSION = 1 # cf Methods.Import.ImportMatrixVal.get_data if isinstance(get_data, ImportError): get_data = property( fget=lambda x: raise_( ImportError( "Can't use ImportMatrixVal method get_data: " + str(get_data) ) ) ) else: get_data = get_data # save and copy methods are available in all object save = save copy = copy # get_logger method is available in all object get_logger = get_logger def __init__(self, value=None, is_transpose=False, 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 dictionnary 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 "value" in list(init_dict.keys()): value = init_dict["value"] if "is_transpose" in list(init_dict.keys()): is_transpose = init_dict["is_transpose"] # Set the properties (value check and convertion are done in setter) self.value = value # Call ImportMatrix init super(ImportMatrixVal, self).__init__(is_transpose=is_transpose) # The class is frozen (in ImportMatrix init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" ImportMatrixVal_str = "" # Get the properties inherited from ImportMatrix ImportMatrixVal_str += super(ImportMatrixVal, self).__str__() ImportMatrixVal_str += ( "value = " + linesep + str(self.value).replace(linesep, linesep + "\t") + linesep + linesep ) return ImportMatrixVal_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from ImportMatrix if not super(ImportMatrixVal, self).__eq__(other): return False if not array_equal(other.value, self.value): return False return True
[docs] def compare(self, other, name="self"): """Compare two objects and return list of differences""" if type(other) != type(self): return ["type(" + name + ")"] diff_list = list() # Check the properties inherited from ImportMatrix diff_list.extend(super(ImportMatrixVal, self).compare(other, name=name)) if not array_equal(other.value, self.value): diff_list.append(name + ".value") 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 ImportMatrix S += super(ImportMatrixVal, self).__sizeof__() S += getsizeof(self.value) return S
[docs] def as_dict(self, **kwargs): """ Convert this object in a json serializable dict (can be use in __init__). Optional keyword input parameter is for internal use only and may prevent json serializability. """ # Get the properties inherited from ImportMatrix ImportMatrixVal_dict = super(ImportMatrixVal, self).as_dict(**kwargs) if self.value is None: ImportMatrixVal_dict["value"] = None else: ImportMatrixVal_dict["value"] = self.value.tolist() # The class name is added to the dict for deserialisation purpose # Overwrite the mother class name ImportMatrixVal_dict["__class__"] = "ImportMatrixVal" return ImportMatrixVal_dict
def _set_None(self): """Set all the properties to None (except pyleecan object)""" self.value = None # Set to None the properties inherited from ImportMatrix super(ImportMatrixVal, self)._set_None() def _get_value(self): """getter of value""" return self._value def _set_value(self, value): """setter of value""" if type(value) is int and value == -1: value = array([]) elif type(value) is list: try: value = array(value) except: pass check_var("value", value, "ndarray") self._value = value value = property( fget=_get_value, fset=_set_value, doc=u"""The matrix to return :Type: ndarray """, )