Source code for pyleecan.Classes.ImportGenVectLin

# -*- coding: utf-8 -*-
# File generated according to Generator/ClassesRef/Import/ImportGenVectLin.csv
# WARNING! All changes made in this file will be lost!
"""Method code available at

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 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
    from ..Methods.Import.ImportGenVectLin.check import check
except ImportError as error:
    check = error

    from ..Methods.Import.ImportGenVectLin.comp_step import comp_step
except ImportError as error:
    comp_step = error

    from ..Methods.Import.ImportGenVectLin.get_data import get_data
except ImportError as error:
    get_data = error

from numpy import isnan
from ._check import InitUnKnowClassError

[docs]class ImportGenVectLin(ImportMatrix): """To generate a Linspace vector""" VERSION = 1 # Check ImportError to remove unnecessary dependencies in unused method # cf Methods.Import.ImportGenVectLin.check if isinstance(check, ImportError): check = property( fget=lambda x: raise_( ImportError("Can't use ImportGenVectLin method check: " + str(check)) ) ) else: check = check # cf Methods.Import.ImportGenVectLin.comp_step if isinstance(comp_step, ImportError): comp_step = property( fget=lambda x: raise_( ImportError( "Can't use ImportGenVectLin method comp_step: " + str(comp_step) ) ) ) else: comp_step = comp_step # cf Methods.Import.ImportGenVectLin.get_data if isinstance(get_data, ImportError): get_data = property( fget=lambda x: raise_( ImportError( "Can't use ImportGenVectLin method get_data: " + str(get_data) ) ) ) else: get_data = get_data # 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, start=0, stop=1, num=100, endpoint=True, 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 "start" in list(init_dict.keys()): start = init_dict["start"] if "stop" in list(init_dict.keys()): stop = init_dict["stop"] if "num" in list(init_dict.keys()): num = init_dict["num"] if "endpoint" in list(init_dict.keys()): endpoint = init_dict["endpoint"] 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.start = start self.stop = stop self.num = num self.endpoint = endpoint # Call ImportMatrix init super(ImportGenVectLin, 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)""" ImportGenVectLin_str = "" # Get the properties inherited from ImportMatrix ImportGenVectLin_str += super(ImportGenVectLin, self).__str__() ImportGenVectLin_str += "start = " + str(self.start) + linesep ImportGenVectLin_str += "stop = " + str(self.stop) + linesep ImportGenVectLin_str += "num = " + str(self.num) + linesep ImportGenVectLin_str += "endpoint = " + str(self.endpoint) + linesep return ImportGenVectLin_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(ImportGenVectLin, self).__eq__(other): return False if other.start != self.start: return False if other.stop != self.stop: return False if other.num != self.num: return False if other.endpoint != self.endpoint: 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(ImportGenVectLin, self).compare( other, name=name, ignore_list=ignore_list, is_add_value=is_add_value ) ) if ( other._start is not None and self._start is not None and isnan(other._start) and isnan(self._start) ): pass elif other._start != self._start: if is_add_value: val_str = ( " (self=" + str(self._start) + ", other=" + str(other._start) + ")" ) diff_list.append(name + ".start" + val_str) else: diff_list.append(name + ".start") if ( other._stop is not None and self._stop is not None and isnan(other._stop) and isnan(self._stop) ): pass elif other._stop != self._stop: if is_add_value: val_str = ( " (self=" + str(self._stop) + ", other=" + str(other._stop) + ")" ) diff_list.append(name + ".stop" + val_str) else: diff_list.append(name + ".stop") if ( other._num is not None and self._num is not None and isnan(other._num) and isnan(self._num) ): pass elif other._num != self._num: if is_add_value: val_str = ( " (self=" + str(self._num) + ", other=" + str(other._num) + ")" ) diff_list.append(name + ".num" + val_str) else: diff_list.append(name + ".num") if other._endpoint != self._endpoint: if is_add_value: val_str = ( " (self=" + str(self._endpoint) + ", other=" + str(other._endpoint) + ")" ) diff_list.append(name + ".endpoint" + val_str) else: diff_list.append(name + ".endpoint") # 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(ImportGenVectLin, self).__sizeof__() S += getsizeof(self.start) S += getsizeof(self.stop) S += getsizeof(self.num) S += getsizeof(self.endpoint) 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 ImportGenVectLin_dict = super(ImportGenVectLin, self).as_dict( type_handle_ndarray=type_handle_ndarray, keep_function=keep_function, **kwargs ) ImportGenVectLin_dict["start"] = self.start ImportGenVectLin_dict["stop"] = self.stop ImportGenVectLin_dict["num"] = self.num ImportGenVectLin_dict["endpoint"] = self.endpoint # The class name is added to the dict for deserialisation purpose # Overwrite the mother class name ImportGenVectLin_dict["__class__"] = "ImportGenVectLin" return ImportGenVectLin_dict
[docs] def copy(self): """Creates a deepcopy of the object""" # Handle deepcopy of all the properties start_val = self.start stop_val = self.stop num_val = self.num endpoint_val = self.endpoint is_transpose_val = self.is_transpose # Creates new object of the same type with the copied properties obj_copy = type(self)( start=start_val, stop=stop_val, num=num_val, endpoint=endpoint_val, is_transpose=is_transpose_val, ) return obj_copy
def _set_None(self): """Set all the properties to None (except pyleecan object)""" self.start = None self.stop = None self.num = None self.endpoint = None # Set to None the properties inherited from ImportMatrix super(ImportGenVectLin, self)._set_None() def _get_start(self): """getter of start""" return self._start def _set_start(self, value): """setter of start""" check_var("start", value, "float") self._start = value start = property( fget=_get_start, fset=_set_start, doc=u"""Begin point of the linspace :Type: float """, ) def _get_stop(self): """getter of stop""" return self._stop def _set_stop(self, value): """setter of stop""" check_var("stop", value, "float") self._stop = value stop = property( fget=_get_stop, fset=_set_stop, doc=u"""End point of the linspace :Type: float """, ) def _get_num(self): """getter of num""" return self._num def _set_num(self, value): """setter of num""" check_var("num", value, "float") self._num = value num = property( fget=_get_num, fset=_set_num, doc=u"""Number of value in the linspace :Type: float """, ) def _get_endpoint(self): """getter of endpoint""" return self._endpoint def _set_endpoint(self, value): """setter of endpoint""" check_var("endpoint", value, "bool") self._endpoint = value endpoint = property( fget=_get_endpoint, fset=_set_endpoint, doc=u"""If True, stop is the last sample. Otherwise, it is not included :Type: bool """, )