def prop_soild(self, sol=TopoDS_Solid()):
self.sol_builder = TopoDS_Builder()
sol_exp = TopExp_Explorer(sol, TopAbs_FACE)
sol_top = TopologyExplorer(sol)
#print(self.cal_vol(sol), self.base_vol)
print(sol_top.number_of_faces())
self.face_lst = TopTools_ListOfShape()
self.face_cnt = []
self.face_num = 0
self.face_init(sol_exp.Current())
#self.sol_builder.Add(sol, sol_exp.Current())
sol_exp.Next()
while sol_exp.More():
face = sol_exp.Current()
self.face_expand(face)
sol_exp.Next()
if self.file == True:
stp_file = "./shp/shp_{:04d}.stp".format(self.sol_num)
write_step_file(sol, stp_file)
stp_file = "./shp/shp_{:04d}_exp.stp".format(self.sol_num)
new_shpe = TopoDS_Compound()
self.sol_builder.Add(gp_Pnt())
# self.sol_builder.MakeCompSolid(new_shpe)
#write_step_file(new_shpe, stp_file)
# if self.show == True:
# self.display.DisplayShape(self.face_cnt)
"""self.face_init(face)
def test_default_constructor_DEFINE_STANDARD_ALLOC(self):
''' OCE classes the defines standard alllocator can be instanciated
if they're not abstract nor define any protected or private
constructor '''
BRep_Builder()
TopoDS_Builder()
ShapeAnalysis_Curve()
def solid_comp(solidList):
aRes = TopoDS_CompSolid()
builder = TopoDS_Builder()
builder.MakeCompSolid(aRes)
# transfer shapes and write file
for shp in solidList:
builder.Add(aRes, shp)
return aRes
def test_default_constructor_DEFINE_STANDARD_ALLOC(self) -> None:
''' OCE classes the defines standard alllocator can be instantiated
if they're not abstract nor define any protected or private
constructor '''
b = BRep_Builder()
self.assertIsInstance(b, BRep_Builder)
t = TopoDS_Builder()
self.assertIsInstance(t, TopoDS_Builder)
s = ShapeAnalysis_Curve()
self.assertIsInstance(s, ShapeAnalysis_Curve)
def testTopoDS_byref_arguments(self):
'''
Test byref pass arguments to TopoDS
'''
cyl1 = BRepPrimAPI_MakeCylinder(10., 10.).Shape()
cyl2 = BRepPrimAPI_MakeCylinder(100., 50.).Shape()
c = TopoDS_Compound()
bb = TopoDS_Builder()
bb.MakeCompound(c)
for child in [cyl1, cyl2]:
bb.Add(c, child)
def compound(topo):
'''
accumulate a bunch of TopoDS_* in list `topo` to a TopoDS_Compound
@param topo: list of TopoDS_* instances
'''
bd = TopoDS_Builder()
comp = TopoDS_Compound()
bd.MakeCompound(comp)
for i in topo:
bd.Add(comp, i)
return comp
def test_TopoDS_byref_arguments(self) -> None:
'''
Test byref pass arguments to TopoDS
'''
cyl1 = BRepPrimAPI_MakeCylinder(10., 10.).Shape()
cyl2 = BRepPrimAPI_MakeCylinder(100., 50.).Shape()
c = TopoDS_Compound()
self.assertTrue(c.IsNull())
bb = TopoDS_Builder()
bb.MakeCompound(c)
for child in [cyl1, cyl2]:
bb.Add(c, child)
self.assertFalse(c.IsNull())
def voxel_to_TopoDS(model, voxel_length, voxel_width, voxel_height):
(position_x, position_y, position_z) = np.where(model.data)
voxel = TopoDS_Compound()
counter = TopoDS_Builder()
counter.MakeCompound(voxel)
for i in range(position_x.size):
voxel1 = TopoDS_Shape(
BRepPrimAPI_MakeBox(voxel_length, voxel_width,
voxel_height).Shape())
transmat = gp_Trsf()
x, y, z = position_x[i] * voxel_length, position_y[
i] * voxel_width, position_z[i] * voxel_height
transmat.SetTranslation(gp_Vec(float(x), float(y), float(z)))
location = TopLoc_Location(transmat)
voxel1.Location(location)
counter.Add(voxel, voxel1)
return voxel
def test_protected_constructor(self):
""" Test: protected constructor """
# 1st, class with no subclass
tds_builder = TopoDS_Builder()
self.assertTrue(hasattr(tds_builder, "MakeCompound"))
def testProtectedConstructor(self):
""" Test: protected constructor """
# 1st, class with no subclass
from OCC.Core.TopoDS import TopoDS_Builder
tds_builder = TopoDS_Builder()
self.assertTrue(hasattr(tds_builder, "MakeCompound"))
def __init__(self): #初始化参数
pass
#螺母参数初始化---------------------------
self.SFU01204_4_dict = {
"d": 12,
"I": 4,
"Da": 2.500,
"D": 24,
"A": 40,
"B": 10,
"L": 40,
"W": 32,
"H": 30,
"X": 4.5,
"Q": "-",
"N": "1x4",
"Ca": 902,
"Coa": 1884,
"kgf/um": 26
} #
self.SFU01604_4_dict = {
"d": 16,
"I": 4,
"Da": 2.381,
"D": 28,
"A": 48,
"B": 10,
"L": 40,
"W": 38,
"H": 40,
"X": 5.5,
"Q": "M6",
"N": "1x4",
"Ca": 973,
"Coa": 2406,
"kgf/um": 32
} #
self.SFU01605_4_dict = {
"d": 16,
"I": 5,
"Da": 3.175,
"D": 28,
"A": 48,
"B": 10,
"L": 50,
"W": 38,
"H": 40,
"X": 5.5,
"Q": "M6",
"N": "1x4",
"Ca": 1380,
"Coa": 3052,
"kgf/um": 32
} #
self.SFU01610_4_dict = {
"d": 16,
"I": 10,
"Da": 3.175,
"D": 28,
"A": 48,
"B": 10,
"L": 57,
"W": 38,
"H": 40,
"X": 5.5,
"Q": "M6",
"N": "1x3",
"Ca": 1103,
"Coa": 2401,
"kgf/um": 26
} #
self.SFU02004_4_dict = {
"d": 20,
"I": 4,
"Da": 2.381,
"D": 36,
"A": 58,
"B": 10,
"L": 42,
"W": 47,
"H": 44,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 1066,
"Coa": 2987,
"kgf/um": 38
}
self.SFU02005_4_dict = {
"d": 20,
"I": 5,
"Da": 3.175,
"D": 36,
"A": 58,
"B": 10,
"L": 51,
"W": 47,
"H": 44,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 1551,
"Coa": 3875,
"kgf/um": 39
}
self.SFU02504_4_dict = {
"d": 25,
"I": 4,
"Da": 2.381,
"D": 40,
"A": 62,
"B": 10,
"L": 42,
"W": 51,
"H": 48,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 1180,
"Coa": 3795,
"kgf/um": 43
}
self.SFU02505_4_dict = {
"d": 25,
"I": 5,
"Da": 3.175,
"D": 40,
"A": 62,
"B": 10,
"L": 51,
"W": 51,
"H": 48,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 1724,
"Coa": 4904,
"kgf/um": 45
}
self.SFU02506_4_dict = {
"d": 25,
"I": 6,
"Da": 3.969,
"D": 40,
"A": 62,
"B": 10,
"L": 54,
"W": 51,
"H": 48,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 2318,
"Coa": 6057,
"kgf/um": 47
}
self.SFU02508_4_dict = {
"d": 25,
"I": 8,
"Da": 4.762,
"D": 40,
"A": 62,
"B": 10,
"L": 63,
"W": 51,
"H": 48,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 2963,
"Coa": 7313,
"kgf/um": 49
}
self.SFU02510_4_dict = {
"d": 25,
"I": 10,
"Da": 4.762,
"D": 40,
"A": 62,
"B": 12,
"L": 85,
"W": 51,
"H": 48,
"X": 6.6,
"Q": "M6",
"N": "1x4",
"Ca": 2954,
"Coa": 7295,
"kgf/um": 50
}
self.SFU03204_4_dict = {
"d": 32,
"I": 4,
"Da": 2.381,
"D": 50,
"A": 80,
"B": 12,
"L": 44,
"W": 65,
"H": 62,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 1296,
"Coa": 4838,
"kgf/um": 51
}
self.SFU03205_4_dict = {
"d": 32,
"I": 5,
"Da": 2.381,
"D": 50,
"A": 80,
"B": 12,
"L": 52,
"W": 65,
"H": 62,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 1922,
"Coa": 6343,
"kgf/um": 54
}
self.SFU03206_4_dict = {
"d": 32,
"I": 6,
"Da": 3.969,
"D": 50,
"A": 80,
"B": 12,
"L": 57,
"W": 65,
"H": 62,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 2632,
"Coa": 7979,
"kgf/um": 57
}
self.SFU03208_4_dict = {
"d": 32,
"I": 8,
"Da": 3.969,
"D": 50,
"A": 80,
"B": 12,
"L": 65,
"W": 65,
"H": 62,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 3387,
"Coa": 9622,
"kgf/um": 60
}
self.SFU03210_4_dict = {
"d": 32,
"I": 10,
"Da": 3.969,
"D": 50,
"A": 80,
"B": 12,
"L": 90,
"W": 65,
"H": 62,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 4805,
"Coa": 12208,
"kgf/um": 61
}
self.SFU04005_4_dict = {
"d": 40,
"I": 5,
"Da": 3.175,
"D": 63,
"A": 93,
"B": 14,
"L": 55,
"W": 78,
"H": 70,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 2110,
"Coa": 7988,
"kgf/um": 63
}
self.SFU04006_4_dict = {
"d": 40,
"I": 6,
"Da": 3.969,
"D": 63,
"A": 93,
"B": 14,
"L": 60,
"W": 78,
"H": 70,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 2873,
"Coa": 9913,
"kgf/um": 66
}
self.SFU04008_4_dict = {
"d": 40,
"I": 8,
"Da": 4.762,
"D": 63,
"A": 93,
"B": 14,
"L": 67,
"W": 78,
"H": 70,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 3712,
"Coa": 11947,
"kgf/um": 70
}
self.SFU04010_4_dict = {
"d": 40,
"I": 10,
"Da": 6.325,
"D": 63,
"A": 93,
"B": 14,
"L": 93,
"W": 78,
"H": 70,
"X": 9.0,
"Q": "M6",
"N": "1x4",
"Ca": 5399,
"Coa": 15500,
"kgf/um": 73
}
self.SFU05010_4_dict = {
"d": 50,
"I": 10,
"Da": 6.325,
"D": 75,
"A": 110,
"B": 16,
"L": 93,
"W": 93,
"H": 85,
"X": 11,
"Q": "M6",
"N": "1x4",
"Ca": 6004,
"Coa": 19614,
"kgf/um": 85
}
self.SFU05020_4_dict = {
"d": 50,
"I": 20,
"Da": 7.144,
"D": 75,
"A": 110,
"B": 16,
"L": 138,
"W": 93,
"H": 85,
"X": 11,
"Q": "M6",
"N": "1x4",
"Ca": 7142,
"Coa": 22588,
"kgf/um": 94
}
self.SFU06310_4_dict = {
"d": 63,
"I": 10,
"Da": 6.325,
"D": 90,
"A": 125,
"B": 18,
"L": 98,
"W": 108,
"H": 95,
"X": 11,
"Q": "M6",
"N": "1x4",
"Ca": 6719,
"Coa": 25358,
"kgf/um": 99
}
self.SFU06320_4_dict = {
"d": 63,
"I": 10,
"Da": 9.525,
"D": 95,
"A": 135,
"B": 20,
"L": 149,
"W": 115,
"H": 100,
"X": 13.5,
"Q": "M6",
"N": "1x4",
"Ca": 11444,
"Coa": 36653,
"kgf/um": 112
}
self.SFU08010_4_dict = {
"d": 80,
"I": 10,
"Da": 6.325,
"D": 95,
"A": 105,
"B": 20,
"L": 98,
"W": 125,
"H": 110,
"X": 13.5,
"Q": "M6",
"N": "1x4",
"Ca": 7346,
"Coa": 31953,
"kgf/um": 109
}
self.SFU08020_4_dict = {
"d": 80,
"I": 20,
"Da": 9.525,
"D": 125,
"A": 165,
"B": 25,
"L": 154,
"W": 145,
"H": 130,
"X": 13.5,
"Q": "M6",
"N": "1x4",
"Ca": 12911,
"Coa": 47747,
"kgf/um": 138
}
self.SFU10020_4_dict = {
"d": 100,
"I": 20,
"Da": 9.525,
"D": 125,
"A": 150,
"B": 30,
"L": 180,
"W": 170,
"H": 155,
"X": 13.5,
"Q": "M6",
"N": "1x4",
"Ca": 14303,
"Coa": 60698,
"kgf/um": 162
}
self.SFU_serise_dict = {
"SFU01204_4": self.SFU01204_4_dict,
"SFU01604_4": self.SFU01604_4_dict,
"SFU01605_4": self.SFU01605_4_dict,
"SFU01610_4": self.SFU01610_4_dict,
"SFU02004_4": self.SFU02004_4_dict,
"SFU02005_4": self.SFU02005_4_dict,
"SFU02505_4": self.SFU02505_4_dict,
"SFU02506_4": self.SFU02506_4_dict,
"SFU02508_4": self.SFU02508_4_dict,
"SFU02510_4": self.SFU02510_4_dict,
"SFU03204_4": self.SFU03204_4_dict,
"SFU03205_4": self.SFU03205_4_dict,
"SFU03206_4": self.SFU03206_4_dict,
"SFU03208_4": self.SFU03208_4_dict,
"SFU03210_4": self.SFU03210_4_dict,
"SFU04005_4": self.SFU04005_4_dict,
"SFU04006_4": self.SFU04006_4_dict,
"SFU04008_4": self.SFU04008_4_dict,
"SFU04010_4": self.SFU04010_4_dict,
"SFU05010_4": self.SFU05010_4_dict,
"SFU05020_4": self.SFU05020_4_dict,
"SFU06310_4": self.SFU06310_4_dict,
"SFU06320_4": self.SFU06320_4_dict,
"SFU08010_4": self.SFU08010_4_dict,
"SFU08020_4": self.SFU08020_4_dict,
"SFU10020_4": self.SFU10020_4_dict
}
#丝杆参数初始化----------------------------------
#-------------BKBF系列--------------------------
self.BK_10_dict = {
"D1": 8.,
"D2": 10.,
"D3": 12,
"D4": 8,
"D5": 7.0,
"L1": 15,
"L2": 16,
"L3": 39,
"L4": 10,
"L5": 7.9,
"L6": 0.9,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.BK_12_dict = {
"D1": 10.,
"D2": 12.,
"D3": 16,
"D4": 10,
"D5": 9.6,
"L1": 15,
"L2": 14,
"L3": 39,
"L4": 11,
"L5": 9.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} #ok
self.BK_15_dict = {
"D1": 12.,
"D2": 15.,
"D3": 20,
"D4": 15,
"D5": 14.3,
"L1": 20,
"L2": 12,
"L3": 40,
"L4": 13,
"L5": 10.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} #ok
self.BK_17_dict = {
"D1": 15.,
"D2": 17.,
"D3": 20,
"D4": 17,
"D5": 16.2,
"L1": 23,
"L2": 17,
"L3": 53,
"L4": 16,
"L5": 13.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} #ok
self.BK_20_dict = {
"D1": 17.,
"D2": 20.,
"D3": 25,
"D4": 20,
"D5": 16.2,
"L1": 25,
"L2": 15,
"L3": 53,
"L4": 16,
"L5": 13.35,
"L6": 1.35,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} #ok
self.BK_25_dict = {
"D1": 20.,
"D2": 25.,
"D3": 30,
"D4": 25,
"D5": 23.9,
"L1": 30,
"L2": 18,
"L3": 65,
"L4": 20,
"L5": 16.35,
"L6": 1.35,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.BK_30_dict = {
"D1": 25.,
"D2": 30.,
"D3": 35,
"D4": 30,
"D5": 28.6,
"L1": 38,
"L2": 25,
"L3": 72,
"L4": 21,
"L5": 17.75,
"L6": 1.75,
"C1": 0.5,
"C2": 0.7,
"C3": 1.0
} #ok
self.BK_35_dict = {
"D1": 30.,
"D2": 35.,
"D3": 40,
"D4": 35,
"D5": 33,
"L1": 45,
"L2": 28,
"L3": 83,
"L4": 22,
"L5": 18.75,
"L6": 1.75,
"C1": 0.5,
"C2": 1.0,
"C3": 1.0
} # ok
self.BK_40_dict = {
"D1": 35.,
"D2": 40.,
"D3": 50,
"D4": 40,
"D5": 38,
"L1": 50,
"L2": 35,
"L3": 98,
"L4": 23,
"L5": 19.95,
"L6": 1.95,
"C1": 0.5,
"C2": 1.0,
"C3": 1.0
} #ok
self.BK_serise_dict = {
"BKBF10": self.BK_10_dict,
"BKBF12": self.BK_12_dict,
"BKBF15": self.BK_15_dict,
"BKBF17": self.BK_17_dict,
"BKBF20": self.BK_20_dict,
"BKBF25": self.BK_25_dict,
"BKBF30": self.BK_30_dict,
"BKBF35": self.BK_35_dict,
"BKBF40": self.BK_40_dict
}
# -------------EKEF系列--------------------------
self.EK_06_dict = {
"D1": 8.,
"D2": 6.,
"D3": 6,
"D4": 6,
"D5": 5.7,
"L1": 8,
"L2": 10,
"L3": 30,
"L4": 9,
"L5": 6.8,
"L6": 0.8,
"C1": 0.3,
"C2": 0.3,
"C3": 0.3
} # ok
self.EK_08_dict = {
"D1": 6.,
"D2": 8.,
"D3": 10,
"D4": 6,
"D5": 5.7,
"L1": 9,
"L2": 10,
"L3": 35,
"L4": 9,
"L5": 6.8,
"L6": 0.8,
"C1": 0.3,
"C2": 0.3,
"C3": 0.3
} # ok
self.EK_10_dict = {
"D1": 8.,
"D2": 10.,
"D3": 12,
"D4": 8,
"D5": 7.6,
"L1": 15,
"L2": 11,
"L3": 36,
"L4": 10,
"L5": 7.9,
"L6": 0.9,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.EK_12_dict = {
"D1": 10.,
"D2": 12.,
"D3": 15,
"D4": 10,
"D5": 9.6,
"L1": 15,
"L2": 11,
"L3": 36,
"L4": 11,
"L5": 9.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.EK_15_dict = {
"D1": 12.,
"D2": 15.,
"D3": 18,
"D4": 15,
"D5": 14.3,
"L1": 20,
"L2": 11,
"L3": 49,
"L4": 13,
"L5": 10.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.EK_20_dict = {
"D1": 17.,
"D2": 20.,
"D3": 25,
"D4": 20,
"D5": 19,
"L1": 25,
"L2": 17,
"L3": 64,
"L4": 19,
"L5": 15.35,
"L6": 1.35,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.EK_25_dict = {
"D1": 20.,
"D2": 25.,
"D3": 32,
"D4": 25,
"D5": 23.9,
"L1": 30,
"L2": 18,
"L3": 65,
"L4": 20,
"L5": 16.35,
"L6": 1.35,
"C1": 0.5,
"C2": 0.7,
"C3": 0.1
} # ok
self.EK_serise_dict = {
"EKEF06": self.EK_06_dict,
"EKEF08": self.EK_08_dict,
"EKEF10": self.EK_10_dict,
"EKEF12": self.EK_12_dict,
"EKEF15": self.EK_15_dict,
"EKEF20": self.EK_20_dict,
"EKEF25": self.EK_25_dict
}
# -------------FKFF系列--------------------------
self.FK_08_dict = {
"D1": 6.,
"D2": 8.,
"D3": 10,
"D4": 6,
"D5": 5.7,
"L1": 9,
"L2": 15,
"L3": 25,
"L4": 9,
"L5": 6.8,
"L6": 0.8,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_10_dict = {
"D1": 8.,
"D2": 10.,
"D3": 12,
"D4": 8,
"D5": 5.6,
"L1": 15,
"L2": 11,
"L3": 36,
"L4": 10,
"L5": 7.9,
"L6": 0.9,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_12_dict = {
"D1": 10.,
"D2": 12.,
"D3": 15,
"D4": 10,
"D5": 9.6,
"L1": 15,
"L2": 11,
"L3": 36,
"L4": 11,
"L5": 9.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_15_dict = {
"D1": 12.,
"D2": 15.,
"D3": 18,
"D4": 15,
"D5": 14.3,
"L1": 20,
"L2": 13,
"L3": 36,
"L4": 13,
"L5": 10.15,
"L6": 1.15,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_20_dict = {
"D1": 17.,
"D2": 20.,
"D3": 25,
"D4": 20,
"D5": 19,
"L1": 25,
"L2": 17,
"L3": 64,
"L4": 19,
"L5": 15.75,
"L6": 1.35,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_25_dict = {
"D1": 20.,
"D2": 25.,
"D3": 32,
"D4": 25,
"D5": 23.9,
"L1": 30,
"L2": 20,
"L3": 76,
"L4": 20,
"L5": 16.35,
"L6": 1.35,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_30_dict = {
"D1": 25.,
"D2": 30.,
"D3": 40,
"D4": 30,
"D5": 28.6,
"L1": 38,
"L2": 25,
"L3": 72,
"L4": 21,
"L5": 17.75,
"L6": 1.75,
"C1": 0.5,
"C2": 0.5,
"C3": 0.5
} # ok
self.FK_serise_dict = {
"FKFF08": self.FK_08_dict,
"FKFF10": self.FK_10_dict,
"FKFF15": self.FK_15_dict,
"FKFF20": self.FK_20_dict,
"FKFF25": self.FK_25_dict,
"FKFF30": self.FK_30_dict
}
#复合体初始化---------------------------------
self.shape = TopoDS_Shape()
self.new_build = TopoDS_Builder() # 建立一个TopoDS_Builder()
self.aCompound = TopoDS_Compound() # 定义一个复合体
self.new_build.MakeCompound(self.aCompound) # 生成一个复合体DopoDS_shape
