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()