Added do_clamp to vector lerping

buildconfig/stubs/pygame/math.pyi

@@ -82,7 +82,11 @@ class _GenericVector(Collection[float]):
         self: _TVec, other: Union[SequenceLike[float], _TVec], /
     ) -> float: ...
     def lerp(
-        self: _TVec, other: Union[SequenceLike[float], _TVec], value: float, /
+        self: _TVec,
+        other: Union[SequenceLike[float], _TVec],
+        value: float,
+        do_clamp: bool = True,
+        /,
     ) -> _TVec: ...
     def slerp(
         self: _TVec, other: Union[SequenceLike[float], _TVec], value: float, /

docs/reST/ref/math.rst

@@ -386,12 +386,18 @@ Conversion can be combined with swizzling or slicing to create a new order
 
       | :sl:`returns a linear interpolation to the given vector.`
       | :sg:`lerp(Vector2, float, /) -> Vector2`
+      | :sg:`lerp(Vector2, float, bool, /) -> Vector2`
 
       Returns a Vector which is a linear interpolation between self and the
       given Vector. The second parameter determines how far between self and
       other the result is going to be. It must be a value between ``0`` and ``1``
       where ``0`` means self and ``1`` means other will be returned.
 
+      .. versionchanged:: 2.5.7 The ``do_clamp`` parameter is added with a default
+         value of ``True``. When it's ``True``, the second parameter is limited
+         to the closed interval ``[0, 1]``. When it's ``False``, the second parameter
+         is not limited and the lerp will extend beyond the original two vectors.
+
       .. ## Vector2.lerp ##
 
    .. method:: slerp

src_c/doc/math_doc.h

@@ -22,7 +22,7 @@
 #define DOC_MATH_VECTOR2_DISTANCESQUAREDTO "distance_squared_to(Vector2, /) -> float\ncalculates the squared Euclidean distance to a given vector."
 #define DOC_MATH_VECTOR2_MOVETOWARDS "move_towards(Vector2, float, /) -> Vector2\nreturns a vector moved toward the target by a given distance."
 #define DOC_MATH_VECTOR2_MOVETOWARDSIP "move_towards_ip(Vector2, float, /) -> None\nmoves the vector toward its target at a given distance."
-#define DOC_MATH_VECTOR2_LERP "lerp(Vector2, float, /) -> Vector2\nreturns a linear interpolation to the given vector."
+#define DOC_MATH_VECTOR2_LERP "lerp(Vector2, float, /) -> Vector2\nlerp(Vector2, float, bool, /) -> Vector2\nreturns a linear interpolation to the given vector."
 #define DOC_MATH_VECTOR2_SLERP "slerp(Vector2, float, /) -> Vector2\nreturns a spherical interpolation to the given vector."
 #define DOC_MATH_VECTOR2_SMOOTHSTEP "smoothstep(Vector2, float, /) -> Vector2\nreturns a smooth interpolation to the given vector."
 #define DOC_MATH_VECTOR2_ELEMENTWISE "elementwise() -> VectorElementwiseProxy\nThe next operation will be performed elementwise."

src_c/math.c

@@ -1708,16 +1708,19 @@ vector_lerp(pgVector *self, PyObject *args)
     pgVector *ret;
     double t;
     double other_coords[VECTOR_MAX_SIZE];
+    int do_clamp = 1;
 
-    if (!PyArg_ParseTuple(args, "Od:Vector.lerp", &other, &t)) {
+    if (!PyArg_ParseTuple(args, "Od|p:Vector.lerp", &other, &t, &do_clamp)) {
         return NULL;
     }
     if (!pg_VectorCoordsFromObjOldDontUseInNewCode(other, other_coords,
                                                    self->dim)) {
         return RAISE(PyExc_TypeError, "Expected Vector as argument 1");
     }
-    if (t < 0 || t > 1) {
-        return RAISE(PyExc_ValueError, "Argument 2 must be in range [0, 1]");
+    if ((t < 0 || t > 1) && do_clamp > 0) {
+        return RAISE(PyExc_ValueError,
+                     "Argument 2 must be in range [0, 1] when do_clamp is set "
+                     "to True (the default value)");
     }
 
     ret = _vector_subtype_new(self);

test/math_test.py

@@ -1139,14 +1139,18 @@ def test_lerp(self):
         v2 = Vector2(10, 10)
         self.assertEqual(v1.lerp(v2, 0.5), (5, 5))
         self.assertRaises(ValueError, lambda: v1.lerp(v2, 2.5))
+        self.assertEqual(v1.lerp(v2, 2.5, False), (25, 25))
+        self.assertEqual(v1.lerp(v2, -1, False), (-10, -10))
 
         v1 = Vector2(0, 0)
         v2 = Vector2(10, 10)
         self.assertEqual(v1.lerp(v2, 0.1), (1, 1))
+        self.assertEqual(v1.lerp(v2, 10, False), (100, 100))
 
         v1 = Vector2(-10, -5)
         v2 = Vector2(10, 10)
         self.assertEqual(v1.lerp(v2, 0.5), (0, 2.5))
+        self.assertEqual(v1.lerp(v2, -10, False), (-210, -155))
 
     def test_smoothstep(self):
         v1 = Vector2(0, 0)
@@ -2892,14 +2896,18 @@ def test_lerp(self):
         v2 = Vector3(10, 10, 10)
         self.assertEqual(v1.lerp(v2, 0.5), (5, 5, 5))
         self.assertRaises(ValueError, lambda: v1.lerp(v2, 2.5))
+        self.assertEqual(v1.lerp(v2, 2.5, False), (25, 25, 25))
+        self.assertEqual(v1.lerp(v2, -1, False), (-10, -10, -10))
 
         v1 = Vector3(0, 0, 0)
         v2 = Vector3(10, 10, 10)
         self.assertEqual(v1.lerp(v2, 0.1), (1, 1, 1))
+        self.assertEqual(v1.lerp(v2, 10, False), (100, 100, 100))
 
         v1 = Vector3(-10, -5, -20)
         v2 = Vector3(10, 10, -20)
         self.assertEqual(v1.lerp(v2, 0.5), (0, 2.5, -20))
+        self.assertEqual(v1.lerp(v2, -10, False), (-210, -155, -20))
 
     def test_smoothstep(self):
         v1 = Vector3(0, 0, 0)