Source code for pyleecan.Classes.VarParamSweep

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Simulation/VarParamSweep.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/VarParamSweep
"""

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 .VarParam import VarParam

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

try:
    from ..Methods.Simulation.VarParamSweep.generate_simulation_list import (
        generate_simulation_list,
    )
except ImportError as error:
    generate_simulation_list = error

try:
    from ..Methods.Simulation.VarParamSweep.get_simu_number import get_simu_number
except ImportError as error:
    get_simu_number = error


from numpy import isnan
from ._check import InitUnKnowClassError


[docs]class VarParamSweep(VarParam): """Handle multisimulation by varying parameters""" VERSION = 1 NAME = "Parameter Sweep" # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Simulation.VarParamSweep.check_param if isinstance(check_param, ImportError): check_param = property( fget=lambda x: raise_( ImportError( "Can't use VarParamSweep method check_param: " + str(check_param) ) ) ) else: check_param = check_param # cf Methods.Simulation.VarParamSweep.generate_simulation_list if isinstance(generate_simulation_list, ImportError): generate_simulation_list = property( fget=lambda x: raise_( ImportError( "Can't use VarParamSweep method generate_simulation_list: " + str(generate_simulation_list) ) ) ) else: generate_simulation_list = generate_simulation_list # cf Methods.Simulation.VarParamSweep.get_simu_number if isinstance(get_simu_number, ImportError): get_simu_number = property( fget=lambda x: raise_( ImportError( "Can't use VarParamSweep method get_simu_number: " + str(get_simu_number) ) ) ) else: get_simu_number = get_simu_number # 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, paramexplorer_list=-1, name="", desc="", datakeeper_list=-1, is_keep_all_output=False, stop_if_error=False, var_simu=None, nb_simu=0, is_reuse_femm_file=True, postproc_list=-1, pre_keeper_postproc_list=None, post_keeper_postproc_list=None, is_reuse_LUT=True, 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 "paramexplorer_list" in list(init_dict.keys()): paramexplorer_list = init_dict["paramexplorer_list"] if "name" in list(init_dict.keys()): name = init_dict["name"] if "desc" in list(init_dict.keys()): desc = init_dict["desc"] if "datakeeper_list" in list(init_dict.keys()): datakeeper_list = init_dict["datakeeper_list"] if "is_keep_all_output" in list(init_dict.keys()): is_keep_all_output = init_dict["is_keep_all_output"] if "stop_if_error" in list(init_dict.keys()): stop_if_error = init_dict["stop_if_error"] if "var_simu" in list(init_dict.keys()): var_simu = init_dict["var_simu"] if "nb_simu" in list(init_dict.keys()): nb_simu = init_dict["nb_simu"] if "is_reuse_femm_file" in list(init_dict.keys()): is_reuse_femm_file = init_dict["is_reuse_femm_file"] if "postproc_list" in list(init_dict.keys()): postproc_list = init_dict["postproc_list"] if "pre_keeper_postproc_list" in list(init_dict.keys()): pre_keeper_postproc_list = init_dict["pre_keeper_postproc_list"] if "post_keeper_postproc_list" in list(init_dict.keys()): post_keeper_postproc_list = init_dict["post_keeper_postproc_list"] if "is_reuse_LUT" in list(init_dict.keys()): is_reuse_LUT = init_dict["is_reuse_LUT"] # Set the properties (value check and convertion are done in setter) # Call VarParam init super(VarParamSweep, self).__init__( paramexplorer_list=paramexplorer_list, name=name, desc=desc, datakeeper_list=datakeeper_list, is_keep_all_output=is_keep_all_output, stop_if_error=stop_if_error, var_simu=var_simu, nb_simu=nb_simu, is_reuse_femm_file=is_reuse_femm_file, postproc_list=postproc_list, pre_keeper_postproc_list=pre_keeper_postproc_list, post_keeper_postproc_list=post_keeper_postproc_list, is_reuse_LUT=is_reuse_LUT, ) # The class is frozen (in VarParam init), for now it's impossible to # add new properties def __str__(self): """Convert this object in a readeable string (for print)""" VarParamSweep_str = "" # Get the properties inherited from VarParam VarParamSweep_str += super(VarParamSweep, self).__str__() return VarParamSweep_str def __eq__(self, other): """Compare two objects (skip parent)""" if type(other) != type(self): return False # Check the properties inherited from VarParam if not super(VarParamSweep, 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 VarParam diff_list.extend( super(VarParamSweep, 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 VarParam S += super(VarParamSweep, 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 VarParam VarParamSweep_dict = super(VarParamSweep, 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 VarParamSweep_dict["__class__"] = "VarParamSweep" return VarParamSweep_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties if self.paramexplorer_list is None: paramexplorer_list_val = None else: paramexplorer_list_val = list() for obj in self.paramexplorer_list: paramexplorer_list_val.append(obj.copy()) name_val = self.name desc_val = self.desc if self.datakeeper_list is None: datakeeper_list_val = None else: datakeeper_list_val = list() for obj in self.datakeeper_list: datakeeper_list_val.append(obj.copy()) is_keep_all_output_val = self.is_keep_all_output stop_if_error_val = self.stop_if_error if self.var_simu is None: var_simu_val = None else: var_simu_val = self.var_simu.copy() nb_simu_val = self.nb_simu is_reuse_femm_file_val = self.is_reuse_femm_file if self.postproc_list is None: postproc_list_val = None else: postproc_list_val = list() for obj in self.postproc_list: postproc_list_val.append(obj.copy()) if self.pre_keeper_postproc_list is None: pre_keeper_postproc_list_val = None else: pre_keeper_postproc_list_val = list() for obj in self.pre_keeper_postproc_list: pre_keeper_postproc_list_val.append(obj.copy()) if self.post_keeper_postproc_list is None: post_keeper_postproc_list_val = None else: post_keeper_postproc_list_val = list() for obj in self.post_keeper_postproc_list: post_keeper_postproc_list_val.append(obj.copy()) is_reuse_LUT_val = self.is_reuse_LUT # Creates new object of the same type with the copied properties obj_copy = type(self)( paramexplorer_list=paramexplorer_list_val, name=name_val, desc=desc_val, datakeeper_list=datakeeper_list_val, is_keep_all_output=is_keep_all_output_val, stop_if_error=stop_if_error_val, var_simu=var_simu_val, nb_simu=nb_simu_val, is_reuse_femm_file=is_reuse_femm_file_val, postproc_list=postproc_list_val, pre_keeper_postproc_list=pre_keeper_postproc_list_val, post_keeper_postproc_list=post_keeper_postproc_list_val, is_reuse_LUT=is_reuse_LUT_val, ) return obj_copy
def _set_None(self): """Set all the properties to None (except pyleecan object)""" # Set to None the properties inherited from VarParam super(VarParamSweep, self)._set_None()