Source code for pyleecan.Classes.MachineUD

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Machine/MachineUD.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 .Machine import Machine

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

    from ..Methods.Machine.MachineUD.is_synchronous import is_synchronous
except ImportError as error:
    is_synchronous = error

from numpy import isnan
from ._check import InitUnKnowClassError

[docs]class MachineUD(Machine): """User defined Machine with multiple Laminations""" VERSION = 1 # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Machine.MachineUD.build_geometry if isinstance(build_geometry, ImportError): build_geometry = property( fget=lambda x: raise_( ImportError( "Can't use MachineUD method build_geometry: " + str(build_geometry) ) ) ) else: build_geometry = build_geometry # cf Methods.Machine.MachineUD.is_synchronous if isinstance(is_synchronous, ImportError): is_synchronous = property( fget=lambda x: raise_( ImportError( "Can't use MachineUD method is_synchronous: " + str(is_synchronous) ) ) ) else: is_synchronous = is_synchronous # 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, lam_list=-1, is_sync=True, frame=-1, shaft=-1, name="default_machine", desc="", type_machine=1, logger_name="Pyleecan.Machine", 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 "lam_list" in list(init_dict.keys()): lam_list = init_dict["lam_list"] if "is_sync" in list(init_dict.keys()): is_sync = init_dict["is_sync"] if "frame" in list(init_dict.keys()): frame = init_dict["frame"] if "shaft" in list(init_dict.keys()): shaft = init_dict["shaft"] if "name" in list(init_dict.keys()): name = init_dict["name"] if "desc" in list(init_dict.keys()): desc = init_dict["desc"] if "type_machine" in list(init_dict.keys()): type_machine = init_dict["type_machine"] 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.lam_list = lam_list self.is_sync = is_sync # Call Machine init super(MachineUD, self).__init__( frame=frame, shaft=shaft, name=name, desc=desc, type_machine=type_machine, logger_name=logger_name, ) # The class is frozen (in Machine init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" MachineUD_str = "" # Get the properties inherited from Machine MachineUD_str += super(MachineUD, self).__str__() if len(self.lam_list) == 0: MachineUD_str += "lam_list = []" + linesep for ii in range(len(self.lam_list)): tmp = self.lam_list[ii].__str__().replace(linesep, linesep + "\t") + linesep MachineUD_str += "lam_list[" + str(ii) + "] =" + tmp + linesep + linesep MachineUD_str += "is_sync = " + str(self.is_sync) + linesep return MachineUD_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from Machine if not super(MachineUD, self).__eq__(other): return False if other.lam_list != self.lam_list: return False if other.is_sync != self.is_sync: 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 Machine diff_list.extend( super(MachineUD, self).compare( other, name=name, ignore_list=ignore_list, is_add_value=is_add_value ) ) if (other.lam_list is None and self.lam_list is not None) or ( other.lam_list is not None and self.lam_list is None ): diff_list.append(name + ".lam_list None mismatch") elif self.lam_list is None: pass elif len(other.lam_list) != len(self.lam_list): diff_list.append("len(" + name + ".lam_list)") else: for ii in range(len(other.lam_list)): diff_list.extend( self.lam_list[ii].compare( other.lam_list[ii], name=name + ".lam_list[" + str(ii) + "]", ignore_list=ignore_list, is_add_value=is_add_value, ) ) if other._is_sync != self._is_sync: if is_add_value: val_str = ( " (self=" + str(self._is_sync) + ", other=" + str(other._is_sync) + ")" ) diff_list.append(name + ".is_sync" + val_str) else: diff_list.append(name + ".is_sync") # 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 Machine S += super(MachineUD, self).__sizeof__() if self.lam_list is not None: for value in self.lam_list: S += getsizeof(value) S += getsizeof(self.is_sync) 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 Machine MachineUD_dict = super(MachineUD, self).as_dict( type_handle_ndarray=type_handle_ndarray, keep_function=keep_function, **kwargs ) if self.lam_list is None: MachineUD_dict["lam_list"] = None else: MachineUD_dict["lam_list"] = list() for obj in self.lam_list: if obj is not None: MachineUD_dict["lam_list"].append( obj.as_dict( type_handle_ndarray=type_handle_ndarray, keep_function=keep_function, **kwargs ) ) else: MachineUD_dict["lam_list"].append(None) MachineUD_dict["is_sync"] = self.is_sync # The class name is added to the dict for deserialisation purpose # Overwrite the mother class name MachineUD_dict["__class__"] = "MachineUD" return MachineUD_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties if self.lam_list is None: lam_list_val = None else: lam_list_val = list() for obj in self.lam_list: lam_list_val.append(obj.copy()) is_sync_val = self.is_sync if self.frame is None: frame_val = None else: frame_val = self.frame.copy() if self.shaft is None: shaft_val = None else: shaft_val = self.shaft.copy() name_val = desc_val = self.desc type_machine_val = self.type_machine logger_name_val = self.logger_name # Creates new object of the same type with the copied properties obj_copy = type(self)( lam_list=lam_list_val, is_sync=is_sync_val, frame=frame_val, shaft=shaft_val, name=name_val, desc=desc_val, type_machine=type_machine_val, logger_name=logger_name_val, ) return obj_copy
def _set_None(self): """Set all the properties to None (except pyleecan object)""" self.lam_list = None self.is_sync = None # Set to None the properties inherited from Machine super(MachineUD, self)._set_None() def _get_lam_list(self): """getter of lam_list""" if self._lam_list is not None: for obj in self._lam_list: if obj is not None: obj.parent = self return self._lam_list def _set_lam_list(self, value): """setter of lam_list""" if type(value) is list: for ii, obj in enumerate(value): if isinstance(obj, str): # Load from file try: obj = load_init_dict(obj)[1] except Exception as e: self.get_logger().error( "Error while loading " + obj + ", setting None instead" ) obj = None value[ii] = None if type(obj) is dict: class_obj = import_class( "pyleecan.Classes", obj.get("__class__"), "lam_list" ) value[ii] = class_obj(init_dict=obj) if value[ii] is not None: value[ii].parent = self if value == -1: value = list() check_var("lam_list", value, "[Lamination]") self._lam_list = value lam_list = property( fget=_get_lam_list, fset=_set_lam_list, doc=u"""List of Lamination :Type: [Lamination] """, ) def _get_is_sync(self): """getter of is_sync""" return self._is_sync def _set_is_sync(self, value): """setter of is_sync""" check_var("is_sync", value, "bool") self._is_sync = value is_sync = property( fget=_get_is_sync, fset=_set_is_sync, doc=u"""True if the machine should be handled as a Synchronous machine :Type: bool """, )