# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Simulation/OPMatrix.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/OPMatrix
"""
from os import linesep
from sys import getsizeof
from logging import getLogger
from ._check import set_array, 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 ._frozen import FrozenClass
# Import all class method
# Try/catch to remove unnecessary dependencies in unused method
try:
from ..Methods.Simulation.OPMatrix.get_N_OP import get_N_OP
except ImportError as error:
get_N_OP = error
try:
from ..Methods.Simulation.OPMatrix.get_OP import get_OP
except ImportError as error:
get_OP = error
try:
from ..Methods.Simulation.OPMatrix.get_OP_list import get_OP_list
except ImportError as error:
get_OP_list = error
try:
from ..Methods.Simulation.OPMatrix.get_OP_array import get_OP_array
except ImportError as error:
get_OP_array = error
try:
from ..Methods.Simulation.OPMatrix.set_OP_array import set_OP_array
except ImportError as error:
set_OP_array = error
try:
from ..Methods.Simulation.OPMatrix.has_Pem import has_Pem
except ImportError as error:
has_Pem = error
try:
from ..Methods.Simulation.OPMatrix.has_Tem import has_Tem
except ImportError as error:
has_Tem = error
try:
from ..Methods.Simulation.OPMatrix.has_slip import has_slip
except ImportError as error:
has_slip = error
from numpy import array, array_equal
from numpy import isnan
from ._check import InitUnKnowClassError
[docs]class OPMatrix(FrozenClass):
"""Define the Operating Point of a variable speed simulation"""
VERSION = 1
# Check ImportError to remove unnecessary dependencies in unused method
# cf Methods.Simulation.OPMatrix.get_N_OP
if isinstance(get_N_OP, ImportError):
get_N_OP = property(
fget=lambda x: raise_(
ImportError("Can't use OPMatrix method get_N_OP: " + str(get_N_OP))
)
)
else:
get_N_OP = get_N_OP
# cf Methods.Simulation.OPMatrix.get_OP
if isinstance(get_OP, ImportError):
get_OP = property(
fget=lambda x: raise_(
ImportError("Can't use OPMatrix method get_OP: " + str(get_OP))
)
)
else:
get_OP = get_OP
# cf Methods.Simulation.OPMatrix.get_OP_list
if isinstance(get_OP_list, ImportError):
get_OP_list = property(
fget=lambda x: raise_(
ImportError(
"Can't use OPMatrix method get_OP_list: " + str(get_OP_list)
)
)
)
else:
get_OP_list = get_OP_list
# cf Methods.Simulation.OPMatrix.get_OP_array
if isinstance(get_OP_array, ImportError):
get_OP_array = property(
fget=lambda x: raise_(
ImportError(
"Can't use OPMatrix method get_OP_array: " + str(get_OP_array)
)
)
)
else:
get_OP_array = get_OP_array
# cf Methods.Simulation.OPMatrix.set_OP_array
if isinstance(set_OP_array, ImportError):
set_OP_array = property(
fget=lambda x: raise_(
ImportError(
"Can't use OPMatrix method set_OP_array: " + str(set_OP_array)
)
)
)
else:
set_OP_array = set_OP_array
# cf Methods.Simulation.OPMatrix.has_Pem
if isinstance(has_Pem, ImportError):
has_Pem = property(
fget=lambda x: raise_(
ImportError("Can't use OPMatrix method has_Pem: " + str(has_Pem))
)
)
else:
has_Pem = has_Pem
# cf Methods.Simulation.OPMatrix.has_Tem
if isinstance(has_Tem, ImportError):
has_Tem = property(
fget=lambda x: raise_(
ImportError("Can't use OPMatrix method has_Tem: " + str(has_Tem))
)
)
else:
has_Tem = has_Tem
# cf Methods.Simulation.OPMatrix.has_slip
if isinstance(has_slip, ImportError):
has_slip = property(
fget=lambda x: raise_(
ImportError("Can't use OPMatrix method has_slip: " + str(has_slip))
)
)
else:
has_slip = has_slip
# 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,
N0=None,
Id_ref=None,
Iq_ref=None,
Ud_ref=None,
Uq_ref=None,
Tem_av_ref=None,
Pem_av_ref=None,
slip_ref=None,
is_output_power=True,
If_ref=None,
col_names=None,
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 "N0" in list(init_dict.keys()):
N0 = init_dict["N0"]
if "Id_ref" in list(init_dict.keys()):
Id_ref = init_dict["Id_ref"]
if "Iq_ref" in list(init_dict.keys()):
Iq_ref = init_dict["Iq_ref"]
if "Ud_ref" in list(init_dict.keys()):
Ud_ref = init_dict["Ud_ref"]
if "Uq_ref" in list(init_dict.keys()):
Uq_ref = init_dict["Uq_ref"]
if "Tem_av_ref" in list(init_dict.keys()):
Tem_av_ref = init_dict["Tem_av_ref"]
if "Pem_av_ref" in list(init_dict.keys()):
Pem_av_ref = init_dict["Pem_av_ref"]
if "slip_ref" in list(init_dict.keys()):
slip_ref = init_dict["slip_ref"]
if "is_output_power" in list(init_dict.keys()):
is_output_power = init_dict["is_output_power"]
if "If_ref" in list(init_dict.keys()):
If_ref = init_dict["If_ref"]
if "col_names" in list(init_dict.keys()):
col_names = init_dict["col_names"]
# Set the properties (value check and convertion are done in setter)
self.parent = None
self.N0 = N0
self.Id_ref = Id_ref
self.Iq_ref = Iq_ref
self.Ud_ref = Ud_ref
self.Uq_ref = Uq_ref
self.Tem_av_ref = Tem_av_ref
self.Pem_av_ref = Pem_av_ref
self.slip_ref = slip_ref
self.is_output_power = is_output_power
self.If_ref = If_ref
self.col_names = col_names
# The class is frozen, for now it's impossible to add new properties
self._freeze()
def __str__(self):
"""Convert this object in a readeable string (for print)"""
OPMatrix_str = ""
if self.parent is None:
OPMatrix_str += "parent = None " + linesep
else:
OPMatrix_str += "parent = " + str(type(self.parent)) + " object" + linesep
OPMatrix_str += (
"N0 = "
+ linesep
+ str(self.N0).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"Id_ref = "
+ linesep
+ str(self.Id_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"Iq_ref = "
+ linesep
+ str(self.Iq_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"Ud_ref = "
+ linesep
+ str(self.Ud_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"Uq_ref = "
+ linesep
+ str(self.Uq_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"Tem_av_ref = "
+ linesep
+ str(self.Tem_av_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"Pem_av_ref = "
+ linesep
+ str(self.Pem_av_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"slip_ref = "
+ linesep
+ str(self.slip_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += "is_output_power = " + str(self.is_output_power) + linesep
OPMatrix_str += (
"If_ref = "
+ linesep
+ str(self.If_ref).replace(linesep, linesep + "\t")
+ linesep
+ linesep
)
OPMatrix_str += (
"col_names = "
+ linesep
+ str(self.col_names).replace(linesep, linesep + "\t")
+ linesep
)
return OPMatrix_str
def __eq__(self, other):
"""Compare two objects (skip parent)"""
if type(other) != type(self):
return False
if not array_equal(other.N0, self.N0):
return False
if not array_equal(other.Id_ref, self.Id_ref):
return False
if not array_equal(other.Iq_ref, self.Iq_ref):
return False
if not array_equal(other.Ud_ref, self.Ud_ref):
return False
if not array_equal(other.Uq_ref, self.Uq_ref):
return False
if not array_equal(other.Tem_av_ref, self.Tem_av_ref):
return False
if not array_equal(other.Pem_av_ref, self.Pem_av_ref):
return False
if not array_equal(other.slip_ref, self.slip_ref):
return False
if other.is_output_power != self.is_output_power:
return False
if not array_equal(other.If_ref, self.If_ref):
return False
if other.col_names != self.col_names:
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()
if not array_equal(other.N0, self.N0):
diff_list.append(name + ".N0")
if not array_equal(other.Id_ref, self.Id_ref):
diff_list.append(name + ".Id_ref")
if not array_equal(other.Iq_ref, self.Iq_ref):
diff_list.append(name + ".Iq_ref")
if not array_equal(other.Ud_ref, self.Ud_ref):
diff_list.append(name + ".Ud_ref")
if not array_equal(other.Uq_ref, self.Uq_ref):
diff_list.append(name + ".Uq_ref")
if not array_equal(other.Tem_av_ref, self.Tem_av_ref):
diff_list.append(name + ".Tem_av_ref")
if not array_equal(other.Pem_av_ref, self.Pem_av_ref):
diff_list.append(name + ".Pem_av_ref")
if not array_equal(other.slip_ref, self.slip_ref):
diff_list.append(name + ".slip_ref")
if other._is_output_power != self._is_output_power:
if is_add_value:
val_str = (
" (self="
+ str(self._is_output_power)
+ ", other="
+ str(other._is_output_power)
+ ")"
)
diff_list.append(name + ".is_output_power" + val_str)
else:
diff_list.append(name + ".is_output_power")
if not array_equal(other.If_ref, self.If_ref):
diff_list.append(name + ".If_ref")
if other._col_names != self._col_names:
if is_add_value:
val_str = (
" (self="
+ str(self._col_names)
+ ", other="
+ str(other._col_names)
+ ")"
)
diff_list.append(name + ".col_names" + val_str)
else:
diff_list.append(name + ".col_names")
# 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
S += getsizeof(self.N0)
S += getsizeof(self.Id_ref)
S += getsizeof(self.Iq_ref)
S += getsizeof(self.Ud_ref)
S += getsizeof(self.Uq_ref)
S += getsizeof(self.Tem_av_ref)
S += getsizeof(self.Pem_av_ref)
S += getsizeof(self.slip_ref)
S += getsizeof(self.is_output_power)
S += getsizeof(self.If_ref)
if self.col_names is not None:
for value in self.col_names:
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.
"""
OPMatrix_dict = dict()
if self.N0 is None:
OPMatrix_dict["N0"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["N0"] = self.N0.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["N0"] = self.N0.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["N0"] = self.N0
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Id_ref is None:
OPMatrix_dict["Id_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["Id_ref"] = self.Id_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["Id_ref"] = self.Id_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["Id_ref"] = self.Id_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Iq_ref is None:
OPMatrix_dict["Iq_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["Iq_ref"] = self.Iq_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["Iq_ref"] = self.Iq_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["Iq_ref"] = self.Iq_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Ud_ref is None:
OPMatrix_dict["Ud_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["Ud_ref"] = self.Ud_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["Ud_ref"] = self.Ud_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["Ud_ref"] = self.Ud_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Uq_ref is None:
OPMatrix_dict["Uq_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["Uq_ref"] = self.Uq_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["Uq_ref"] = self.Uq_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["Uq_ref"] = self.Uq_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Tem_av_ref is None:
OPMatrix_dict["Tem_av_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["Tem_av_ref"] = self.Tem_av_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["Tem_av_ref"] = self.Tem_av_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["Tem_av_ref"] = self.Tem_av_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.Pem_av_ref is None:
OPMatrix_dict["Pem_av_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["Pem_av_ref"] = self.Pem_av_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["Pem_av_ref"] = self.Pem_av_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["Pem_av_ref"] = self.Pem_av_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
if self.slip_ref is None:
OPMatrix_dict["slip_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["slip_ref"] = self.slip_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["slip_ref"] = self.slip_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["slip_ref"] = self.slip_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
OPMatrix_dict["is_output_power"] = self.is_output_power
if self.If_ref is None:
OPMatrix_dict["If_ref"] = None
else:
if type_handle_ndarray == 0:
OPMatrix_dict["If_ref"] = self.If_ref.tolist()
elif type_handle_ndarray == 1:
OPMatrix_dict["If_ref"] = self.If_ref.copy()
elif type_handle_ndarray == 2:
OPMatrix_dict["If_ref"] = self.If_ref
else:
raise Exception(
"Unknown type_handle_ndarray: " + str(type_handle_ndarray)
)
OPMatrix_dict["col_names"] = (
self.col_names.copy() if self.col_names is not None else None
)
# The class name is added to the dict for deserialisation purpose
OPMatrix_dict["__class__"] = "OPMatrix"
return OPMatrix_dict
[docs] def copy(self):
"""Creates a deepcopy of the object"""
# Handle deepcopy of all the properties
if self.N0 is None:
N0_val = None
else:
N0_val = self.N0.copy()
if self.Id_ref is None:
Id_ref_val = None
else:
Id_ref_val = self.Id_ref.copy()
if self.Iq_ref is None:
Iq_ref_val = None
else:
Iq_ref_val = self.Iq_ref.copy()
if self.Ud_ref is None:
Ud_ref_val = None
else:
Ud_ref_val = self.Ud_ref.copy()
if self.Uq_ref is None:
Uq_ref_val = None
else:
Uq_ref_val = self.Uq_ref.copy()
if self.Tem_av_ref is None:
Tem_av_ref_val = None
else:
Tem_av_ref_val = self.Tem_av_ref.copy()
if self.Pem_av_ref is None:
Pem_av_ref_val = None
else:
Pem_av_ref_val = self.Pem_av_ref.copy()
if self.slip_ref is None:
slip_ref_val = None
else:
slip_ref_val = self.slip_ref.copy()
is_output_power_val = self.is_output_power
if self.If_ref is None:
If_ref_val = None
else:
If_ref_val = self.If_ref.copy()
if self.col_names is None:
col_names_val = None
else:
col_names_val = self.col_names.copy()
# Creates new object of the same type with the copied properties
obj_copy = type(self)(
N0=N0_val,
Id_ref=Id_ref_val,
Iq_ref=Iq_ref_val,
Ud_ref=Ud_ref_val,
Uq_ref=Uq_ref_val,
Tem_av_ref=Tem_av_ref_val,
Pem_av_ref=Pem_av_ref_val,
slip_ref=slip_ref_val,
is_output_power=is_output_power_val,
If_ref=If_ref_val,
col_names=col_names_val,
)
return obj_copy
def _set_None(self):
"""Set all the properties to None (except pyleecan object)"""
self.N0 = None
self.Id_ref = None
self.Iq_ref = None
self.Ud_ref = None
self.Uq_ref = None
self.Tem_av_ref = None
self.Pem_av_ref = None
self.slip_ref = None
self.is_output_power = None
self.If_ref = None
self.col_names = None
def _get_N0(self):
"""getter of N0"""
return self._N0
def _set_N0(self, value):
"""setter of N0"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("N0", value, "ndarray")
self._N0 = value
N0 = property(
fget=_get_N0,
fset=_set_N0,
doc=u"""Rotor speed
:Type: ndarray
""",
)
def _get_Id_ref(self):
"""getter of Id_ref"""
return self._Id_ref
def _set_Id_ref(self, value):
"""setter of Id_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Id_ref", value, "ndarray")
self._Id_ref = value
Id_ref = property(
fget=_get_Id_ref,
fset=_set_Id_ref,
doc=u"""d-axis current rms value
:Type: ndarray
""",
)
def _get_Iq_ref(self):
"""getter of Iq_ref"""
return self._Iq_ref
def _set_Iq_ref(self, value):
"""setter of Iq_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Iq_ref", value, "ndarray")
self._Iq_ref = value
Iq_ref = property(
fget=_get_Iq_ref,
fset=_set_Iq_ref,
doc=u"""q-axis current rms value
:Type: ndarray
""",
)
def _get_Ud_ref(self):
"""getter of Ud_ref"""
return self._Ud_ref
def _set_Ud_ref(self, value):
"""setter of Ud_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Ud_ref", value, "ndarray")
self._Ud_ref = value
Ud_ref = property(
fget=_get_Ud_ref,
fset=_set_Ud_ref,
doc=u"""d-axis voltage rms value
:Type: ndarray
""",
)
def _get_Uq_ref(self):
"""getter of Uq_ref"""
return self._Uq_ref
def _set_Uq_ref(self, value):
"""setter of Uq_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Uq_ref", value, "ndarray")
self._Uq_ref = value
Uq_ref = property(
fget=_get_Uq_ref,
fset=_set_Uq_ref,
doc=u"""q-axis voltage rms value
:Type: ndarray
""",
)
def _get_Tem_av_ref(self):
"""getter of Tem_av_ref"""
return self._Tem_av_ref
def _set_Tem_av_ref(self, value):
"""setter of Tem_av_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Tem_av_ref", value, "ndarray")
self._Tem_av_ref = value
Tem_av_ref = property(
fget=_get_Tem_av_ref,
fset=_set_Tem_av_ref,
doc=u"""Output average electromagnetic torque
:Type: ndarray
""",
)
def _get_Pem_av_ref(self):
"""getter of Pem_av_ref"""
return self._Pem_av_ref
def _set_Pem_av_ref(self, value):
"""setter of Pem_av_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("Pem_av_ref", value, "ndarray")
self._Pem_av_ref = value
Pem_av_ref = property(
fget=_get_Pem_av_ref,
fset=_set_Pem_av_ref,
doc=u"""Output/Input average Electromagnetic Power
:Type: ndarray
""",
)
def _get_slip_ref(self):
"""getter of slip_ref"""
return self._slip_ref
def _set_slip_ref(self, value):
"""setter of slip_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("slip_ref", value, "ndarray")
self._slip_ref = value
slip_ref = property(
fget=_get_slip_ref,
fset=_set_slip_ref,
doc=u"""Rotor mechanical slip
:Type: ndarray
""",
)
def _get_is_output_power(self):
"""getter of is_output_power"""
return self._is_output_power
def _set_is_output_power(self, value):
"""setter of is_output_power"""
check_var("is_output_power", value, "bool")
self._is_output_power = value
is_output_power = property(
fget=_get_is_output_power,
fset=_set_is_output_power,
doc=u"""True if power given in OP_matrix is the output power, False if it is the input power
:Type: bool
""",
)
def _get_If_ref(self):
"""getter of If_ref"""
return self._If_ref
def _set_If_ref(self, value):
"""setter of If_ref"""
if type(value) is int and value == -1:
value = array([])
elif type(value) is list:
try:
value = array(value)
except:
pass
check_var("If_ref", value, "ndarray")
self._If_ref = value
If_ref = property(
fget=_get_If_ref,
fset=_set_If_ref,
doc=u"""DC rotor current
:Type: ndarray
""",
)
def _get_col_names(self):
"""getter of col_names"""
return self._col_names
def _set_col_names(self, value):
"""setter of col_names"""
if type(value) is int and value == -1:
value = list()
check_var("col_names", value, "list")
self._col_names = value
col_names = property(
fget=_get_col_names,
fset=_set_col_names,
doc=u"""Name of the columns from set_OP_matrix
:Type: list
""",
)
