# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Import/ImportGenMatrixSin.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Import/ImportGenMatrixSin
"""
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 .ImportMatrix import ImportMatrix
# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
from ..Methods.Import.ImportGenMatrixSin.get_data import get_data
except ImportError as error:
get_data = error
try:
from ..Methods.Import.ImportGenMatrixSin.init_vector import init_vector
except ImportError as error:
init_vector = error
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class ImportGenMatrixSin(ImportMatrix):
"""To generate a Sinus matrix"""
VERSION = 1
# Check ImportError to remove unnecessary dependencies in unused method
# cf Methods.Import.ImportGenMatrixSin.get_data
if isinstance(get_data, ImportError):
get_data = property(
fget=lambda x: raise_(
ImportError(
"Can't use ImportGenMatrixSin method get_data: " + str(get_data)
)
)
)
else:
get_data = get_data
# cf Methods.Import.ImportGenMatrixSin.init_vector
if isinstance(init_vector, ImportError):
init_vector = property(
fget=lambda x: raise_(
ImportError(
"Can't use ImportGenMatrixSin method init_vector: "
+ str(init_vector)
)
)
)
else:
init_vector = init_vector
# 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, sin_list=-1, 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 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 "sin_list" in list(init_dict.keys()):
sin_list = init_dict["sin_list"]
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.sin_list = sin_list
# Call ImportMatrix init
super(ImportGenMatrixSin, 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)"""
ImportGenMatrixSin_str = ""
# Get the properties inherited from ImportMatrix
ImportGenMatrixSin_str += super(ImportGenMatrixSin, self).__str__()
if len(self.sin_list) == 0:
ImportGenMatrixSin_str += "sin_list = []" + linesep
for ii in range(len(self.sin_list)):
tmp = self.sin_list[ii].__str__().replace(linesep, linesep + "\t") + linesep
ImportGenMatrixSin_str += (
"sin_list[" + str(ii) + "] =" + tmp + linesep + linesep
)
return ImportGenMatrixSin_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(ImportGenMatrixSin, self).__eq__(other):
return False
if other.sin_list != self.sin_list:
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 ImportMatrix
diff_list.extend(
super(ImportGenMatrixSin, self).compare(
other, name=name, ignore_list=ignore_list, is_add_value=is_add_value
)
)
if (other.sin_list is None and self.sin_list is not None) or (
other.sin_list is not None and self.sin_list is None
):
diff_list.append(name + ".sin_list None mismatch")
elif self.sin_list is None:
pass
elif len(other.sin_list) != len(self.sin_list):
diff_list.append("len(" + name + ".sin_list)")
else:
for ii in range(len(other.sin_list)):
diff_list.extend(
self.sin_list[ii].compare(
other.sin_list[ii],
name=name + ".sin_list[" + str(ii) + "]",
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 ImportMatrix
S += super(ImportGenMatrixSin, self).__sizeof__()
if self.sin_list is not None:
for value in self.sin_list:
S += getsizeof(value)
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 ImportMatrix
ImportGenMatrixSin_dict = super(ImportGenMatrixSin, self).as_dict(
type_handle_ndarray=type_handle_ndarray,
keep_function=keep_function,
**kwargs
)
if self.sin_list is None:
ImportGenMatrixSin_dict["sin_list"] = None
else:
ImportGenMatrixSin_dict["sin_list"] = list()
for obj in self.sin_list:
if obj is not None:
ImportGenMatrixSin_dict["sin_list"].append(
obj.as_dict(
type_handle_ndarray=type_handle_ndarray,
keep_function=keep_function,
**kwargs
)
)
else:
ImportGenMatrixSin_dict["sin_list"].append(None)
# The class name is added to the dict for deserialisation purpose
# Overwrite the mother class name
ImportGenMatrixSin_dict["__class__"] = "ImportGenMatrixSin"
return ImportGenMatrixSin_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
if self.sin_list is None:
sin_list_val = None
else:
sin_list_val = list()
for obj in self.sin_list:
sin_list_val.append(obj.copy())
is_transpose_val = self.is_transpose
# Creates new object of the same type with the copied properties
obj_copy = type(self)(sin_list=sin_list_val, is_transpose=is_transpose_val)
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
self.sin_list = None
# Set to None the properties inherited from ImportMatrix
super(ImportGenMatrixSin, self)._set_None()
def _get_sin_list(self):
"""getter of sin_list"""
if self._sin_list is not None:
for obj in self._sin_list:
if obj is not None:
obj.parent = self
return self._sin_list
def _set_sin_list(self, value):
"""setter of sin_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__"), "sin_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("sin_list", value, "[ImportGenVectSin]")
self._sin_list = value
sin_list = property(
fget=_get_sin_list,
fset=_set_sin_list,
doc=u"""List of sinus vector to generate the matrix lines
:Type: [ImportGenVectSin]
""",
)
