Source code for pyleecan.Classes.RefSegmentP1
# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Mesh/Interpolation/RefSegmentP1.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Mesh/RefSegmentP1
"""
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 .RefCell import RefCell
# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
from ..Methods.Mesh.RefSegmentP1.shape_function import shape_function
except ImportError as error:
shape_function = error
try:
from ..Methods.Mesh.RefSegmentP1.jacobian import jacobian
except ImportError as error:
jacobian = error
try:
from ..Methods.Mesh.RefSegmentP1.grad_shape_function import grad_shape_function
except ImportError as error:
grad_shape_function = error
try:
from ..Methods.Mesh.RefSegmentP1.get_real_point import get_real_point
except ImportError as error:
get_real_point = error
try:
from ..Methods.Mesh.RefSegmentP1.is_inside import is_inside
except ImportError as error:
is_inside = error
try:
from ..Methods.Mesh.RefSegmentP1.get_ref_point import get_ref_point
except ImportError as error:
get_ref_point = error
try:
from ..Methods.Mesh.RefSegmentP1.get_normal import get_normal
except ImportError as error:
get_normal = error
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class RefSegmentP1(RefCell):
"""Store segment elements for 2D mesh"""
VERSION = 1
# Check ImportError to remove unnecessary dependencies in unused method
# cf Methods.Mesh.RefSegmentP1.shape_function
if isinstance(shape_function, ImportError):
shape_function = property(
fget=lambda x: raise_(
ImportError(
"Can't use RefSegmentP1 method shape_function: "
+ str(shape_function)
)
)
)
else:
shape_function = shape_function
# cf Methods.Mesh.RefSegmentP1.jacobian
if isinstance(jacobian, ImportError):
jacobian = property(
fget=lambda x: raise_(
ImportError("Can't use RefSegmentP1 method jacobian: " + str(jacobian))
)
)
else:
jacobian = jacobian
# cf Methods.Mesh.RefSegmentP1.grad_shape_function
if isinstance(grad_shape_function, ImportError):
grad_shape_function = property(
fget=lambda x: raise_(
ImportError(
"Can't use RefSegmentP1 method grad_shape_function: "
+ str(grad_shape_function)
)
)
)
else:
grad_shape_function = grad_shape_function
# cf Methods.Mesh.RefSegmentP1.get_real_point
if isinstance(get_real_point, ImportError):
get_real_point = property(
fget=lambda x: raise_(
ImportError(
"Can't use RefSegmentP1 method get_real_point: "
+ str(get_real_point)
)
)
)
else:
get_real_point = get_real_point
# cf Methods.Mesh.RefSegmentP1.is_inside
if isinstance(is_inside, ImportError):
is_inside = property(
fget=lambda x: raise_(
ImportError(
"Can't use RefSegmentP1 method is_inside: " + str(is_inside)
)
)
)
else:
is_inside = is_inside
# cf Methods.Mesh.RefSegmentP1.get_ref_point
if isinstance(get_ref_point, ImportError):
get_ref_point = property(
fget=lambda x: raise_(
ImportError(
"Can't use RefSegmentP1 method get_ref_point: " + str(get_ref_point)
)
)
)
else:
get_ref_point = get_ref_point
# cf Methods.Mesh.RefSegmentP1.get_normal
if isinstance(get_normal, ImportError):
get_normal = property(
fget=lambda x: raise_(
ImportError(
"Can't use RefSegmentP1 method get_normal: " + str(get_normal)
)
)
)
else:
get_normal = get_normal
# 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, epsilon=0.05, 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 "epsilon" in list(init_dict.keys()):
epsilon = init_dict["epsilon"]
# Set the properties (value check and convertion are done in setter)
# Call RefCell init
super(RefSegmentP1, self).__init__(epsilon=epsilon)
# The class is frozen (in RefCell init), for now it's impossible to
# add new properties
def __str__(self):
"""Convert this object in a readeable string (for print)"""
RefSegmentP1_str = ""
# Get the properties inherited from RefCell
RefSegmentP1_str += super(RefSegmentP1, self).__str__()
return RefSegmentP1_str
def __eq__(self, other):
"""Compare two objects (skip parent)"""
if type(other) != type(self):
return False
# Check the properties inherited from RefCell
if not super(RefSegmentP1, 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 RefCell
diff_list.extend(
super(RefSegmentP1, 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 RefCell
S += super(RefSegmentP1, 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 RefCell
RefSegmentP1_dict = super(RefSegmentP1, 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
RefSegmentP1_dict["__class__"] = "RefSegmentP1"
return RefSegmentP1_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
epsilon_val = self.epsilon
# Creates new object of the same type with the copied properties
obj_copy = type(self)(epsilon=epsilon_val)
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
# Set to None the properties inherited from RefCell
super(RefSegmentP1, self)._set_None()
