# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Mesh/SolutionData.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/SolutionData
"""
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 .Solution import Solution
# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
from ..Methods.Mesh.SolutionData.get_field import get_field
except ImportError as error:
get_field = error
try:
from ..Methods.Mesh.SolutionData.get_axes_list import get_axes_list
except ImportError as error:
get_axes_list = error
try:
from ..Methods.Mesh.SolutionData.get_solution import get_solution
except ImportError as error:
get_solution = error
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class SolutionData(Solution):
"""Define a Solution with SciDataTool objects."""
VERSION = 1
# Check ImportError to remove unnecessary dependencies in unused method
# cf Methods.Mesh.SolutionData.get_field
if isinstance(get_field, ImportError):
get_field = property(
fget=lambda x: raise_(
ImportError(
"Can't use SolutionData method get_field: " + str(get_field)
)
)
)
else:
get_field = get_field
# cf Methods.Mesh.SolutionData.get_axes_list
if isinstance(get_axes_list, ImportError):
get_axes_list = property(
fget=lambda x: raise_(
ImportError(
"Can't use SolutionData method get_axes_list: " + str(get_axes_list)
)
)
)
else:
get_axes_list = get_axes_list
# cf Methods.Mesh.SolutionData.get_solution
if isinstance(get_solution, ImportError):
get_solution = property(
fget=lambda x: raise_(
ImportError(
"Can't use SolutionData method get_solution: " + str(get_solution)
)
)
)
else:
get_solution = get_solution
# 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,
field=None,
type_cell="triangle",
label=None,
dimension=2,
unit="",
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 "field" in list(init_dict.keys()):
field = init_dict["field"]
if "type_cell" in list(init_dict.keys()):
type_cell = init_dict["type_cell"]
if "label" in list(init_dict.keys()):
label = init_dict["label"]
if "dimension" in list(init_dict.keys()):
dimension = init_dict["dimension"]
if "unit" in list(init_dict.keys()):
unit = init_dict["unit"]
# Set the properties (value check and convertion are done in setter)
self.field = field
# Call Solution init
super(SolutionData, self).__init__(
type_cell=type_cell, label=label, dimension=dimension, unit=unit
)
# The class is frozen (in Solution init), for now it's impossible to
# add new properties
def __str__(self):
"""Convert this object in a readeable string (for print)"""
SolutionData_str = ""
# Get the properties inherited from Solution
SolutionData_str += super(SolutionData, self).__str__()
SolutionData_str += "field = " + str(self.field) + linesep + linesep
return SolutionData_str
def __eq__(self, other):
"""Compare two objects (skip parent)"""
if type(other) != type(self):
return False
# Check the properties inherited from Solution
if not super(SolutionData, self).__eq__(other):
return False
if other.field != self.field:
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 Solution
diff_list.extend(
super(SolutionData, self).compare(
other, name=name, ignore_list=ignore_list, is_add_value=is_add_value
)
)
if (other.field is None and self.field is not None) or (
other.field is not None and self.field is None
):
diff_list.append(name + ".field None mismatch")
elif self.field is not None:
diff_list.extend(
self.field.compare(
other.field,
name=name + ".field",
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 Solution
S += super(SolutionData, self).__sizeof__()
S += getsizeof(self.field)
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 Solution
SolutionData_dict = super(SolutionData, self).as_dict(
type_handle_ndarray=type_handle_ndarray,
keep_function=keep_function,
**kwargs
)
if self.field is None:
SolutionData_dict["field"] = None
else:
SolutionData_dict["field"] = self.field.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
SolutionData_dict["__class__"] = "SolutionData"
return SolutionData_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
if self.field is None:
field_val = None
else:
field_val = self.field.copy()
type_cell_val = self.type_cell
label_val = self.label
dimension_val = self.dimension
unit_val = self.unit
# Creates new object of the same type with the copied properties
obj_copy = type(self)(
field=field_val,
type_cell=type_cell_val,
label=label_val,
dimension=dimension_val,
unit=unit_val,
)
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
self.field = None
# Set to None the properties inherited from Solution
super(SolutionData, self)._set_None()
def _get_field(self):
"""getter of field"""
return self._field
def _set_field(self, value):
"""setter of field"""
if isinstance(value, str): # Load from file
try:
value = load_init_dict(value)[1]
except Exception as e:
self.get_logger().error(
"Error while loading " + value + ", setting None instead"
)
value = None
if isinstance(value, dict) and "__class__" in value:
class_obj = import_class(
"SciDataTool.Classes", value.get("__class__"), "field"
)
value = class_obj(init_dict=value)
elif type(value) is int and value == -1: # Default constructor
value = DataND()
check_var("field", value, "DataND")
self._field = value
field = property(
fget=_get_field,
fset=_set_field,
doc=u"""Data object containing the numerical values of a solution. One of the axis must be "Indices", a list of indices. If the solution is a vector, one of the axis must be "Direction", values ['x','y'] for example.
:Type: SciDataTool.Classes.DataND.DataND
""",
)
