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# generat3D - evaluate Daz DSON scenes and write .dbz files
# Copyright (C) 2026 Danilo M. <danix@danix.xyz>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
import unittest
from generat3d import Error
from generat3d.formula import Graph
def push(key):
return {"op": "push", "key": key}
def val(v):
return {"op": "push", "val": v}
class GraphTest(unittest.TestCase):
def setUp(self):
self.g = Graph()
self.g.add_prop("a", 0.5)
self.g.add_prop("b")
self.g.add_prop("c", 0.0, 0.0, 1.0, clamped=True)
def test_base_values(self):
self.assertEqual(self.g.evaluate(), {"a": 0.5, "b": 0.0, "c": 0.0})
def test_sum_stage(self):
self.g.add_formula("b", [push("a"), val(2), {"op": "mult"}])
self.g.add_formula("b", [push("a"), val(1), {"op": "add"}])
self.assertEqual(self.g.evaluate()["b"], 1.0 + 1.5)
def test_mult_stage(self):
self.g.set_value("b", 3.0)
self.g.add_formula("b", [push("a")], stage="mult")
self.assertEqual(self.g.evaluate()["b"], 1.5)
def test_chain_and_clamp(self):
self.g.add_formula("b", [push("a"), val(4), {"op": "mult"}])
self.g.add_formula("c", [push("b")])
out = self.g.evaluate()
self.assertEqual(out["b"], 2.0)
self.assertEqual(out["c"], 1.0)
def test_sub_div_neg(self):
self.g.add_formula("b", [val(1), push("a"), {"op": "sub"}, val(4), {"op": "div"},
{"op": "neg"}])
self.assertEqual(self.g.evaluate()["b"], -0.125)
def test_unknown_input_drops_formula(self):
self.g.add_formula("b", [push("missing")])
self.g.add_formula("b", [val(7)])
self.assertEqual(self.g.evaluate()["b"], 7)
def test_output_without_prop_is_ignored(self):
self.g.add_formula("nowhere", [val(1)])
self.assertNotIn("nowhere", self.g.evaluate())
def test_cycle_is_fatal(self):
self.g.add_formula("a", [push("b")])
self.g.add_formula("b", [push("a")])
with self.assertRaisesRegex(Error, "formula cycle: a -> b -> a"):
self.g.evaluate()
def test_unknown_op_is_fatal(self):
self.g.add_formula("b", [val(1), {"op": "pow"}], source="/data/x.dsf#m")
with self.assertRaisesRegex(Error, r"/data/x.dsf#m: unknown formula operation 'pow'"):
self.g.evaluate()
def test_unknown_stage_is_fatal(self):
with self.assertRaisesRegex(Error, "unknown formula stage 'avg'"):
self.g.add_formula("b", [val(1)], stage="avg")
def test_stack_errors_are_fatal(self):
self.g.add_formula("b", [{"op": "add"}], source="f")
with self.assertRaisesRegex(Error, "f: malformed formula for b"):
self.g.evaluate()
def test_leftover_stack_is_fatal(self):
self.g.add_formula("b", [val(1), val(2)], source="f")
with self.assertRaisesRegex(Error, "f: malformed formula for b"):
self.g.evaluate()
def test_non_numeric_result_is_fatal(self):
self.g.add_formula("b", [val("x")], source="f")
with self.assertRaisesRegex(Error, "f: malformed formula for b"):
self.g.evaluate()
def test_overflow_is_fatal(self):
self.g.add_formula("b", [val(10**400), val(0.5), {"op": "mult"}], source="f")
with self.assertRaisesRegex(Error, "f: malformed formula for b"):
self.g.evaluate()
def test_nan_result_is_fatal(self):
self.g.add_formula("b", [val(float("nan"))], source="f")
with self.assertRaisesRegex(Error, "f: malformed formula for b"):
self.g.evaluate()
def test_deep_chain_is_fatal(self):
g = Graph()
n = 2000
for i in range(n):
g.add_prop(f"p{i}")
for i in range(n - 1):
g.add_formula(f"p{i}", [push(f"p{i + 1}")])
with self.assertRaisesRegex(Error, "too deep"):
g.evaluate()
def test_diamond_dependency(self):
g = Graph()
g.add_prop("a", 1.0)
g.add_prop("b")
g.add_prop("c")
g.add_prop("d")
g.add_formula("b", [push("a")])
g.add_formula("c", [push("a"), push("a"), {"op": "add"}])
g.add_formula("d", [push("b"), push("c"), {"op": "add"}])
self.assertEqual(g.evaluate()["d"], 3)
from generat3d.formula import spline
def spline_ops(kind, knots):
return ([{"op": "push", "key": "a"}] + [val(k) for k in knots]
+ [val(len(knots)), {"op": kind}])
class SplineTest(unittest.TestCase):
LINE = [[0, 0], [1, 1], [2, 2], [3, 3]]
def test_outside_range_holds_ends(self):
for kind in ("spline_constant", "spline_linear", "spline_tcb"):
self.assertEqual(spline(kind, -1, self.LINE), 0)
self.assertEqual(spline(kind, 9, self.LINE), 3)
def test_constant(self):
self.assertEqual(spline("spline_constant", 1.7, [[0, 5], [1, 6], [2, 7]]), 6)
def test_linear(self):
self.assertAlmostEqual(spline("spline_linear", 0.25, [[0, 0], [1, 4]]), 1.0)
def test_tcb_hits_knots(self):
knots = [[0, 0, 0, 0, 0], [1, 3, 0, 0, 0], [2, 1, 0, 0, 0]]
self.assertEqual(spline("spline_tcb", 1, knots), 3)
def test_tcb_zero_params_is_catmull_rom(self):
knots = [k + [0, 0, 0] for k in self.LINE]
self.assertAlmostEqual(spline("spline_tcb", 1.5, knots), 1.5)
def test_spline_in_graph(self):
g = Graph()
g.add_prop("a", 0.5)
g.add_prop("b")
g.add_formula("b", spline_ops("spline_linear", [[0, 0], [1, 10]]))
self.assertAlmostEqual(g.evaluate()["b"], 5.0)
def test_fractional_count_is_fatal(self):
g = Graph()
g.add_prop("a", 0.5)
g.add_prop("b")
ops = [push("a"), val([0, 0]), val([1, 1]), val(2.5), {"op": "spline_linear"}]
g.add_formula("b", ops, source="f")
with self.assertRaisesRegex(Error, "malformed formula for b"):
g.evaluate()
def test_unsorted_knots_are_fatal(self):
g = Graph()
g.add_prop("a", 0.5)
g.add_prop("b")
g.add_formula("b", spline_ops("spline_linear", [[1, 1], [0, 0], [2, 5]]), source="f")
with self.assertRaisesRegex(Error, "malformed formula for b"):
g.evaluate()
def test_count_larger_than_stack_is_fatal(self):
g = Graph()
g.add_prop("a", 0.5)
g.add_prop("b")
ops = [push("a"), val(0), val(1), {"op": "spline_linear"}]
g.add_formula("b", ops, source="f")
with self.assertRaisesRegex(Error, "malformed formula for b"):
g.evaluate()
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