Fix _lerp

- some changes were unrelated to the PR and have been reverted, including, renaming and moving the logic around.
- Also renamed _quantile_ureduce_func to its original name

1 files changed, 7 insertions, 7 deletions

diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index 4f0db7bdb..d59f3a85d 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -3486,8 +3486,8 @@ class TestLerp:
                       b = st.floats(allow_nan=False, allow_infinity=False,
                                     min_value=-1e300, max_value=1e300))
     def test_linear_interpolation_formula_monotonic(self, t0, t1, a, b):
-        l0 = nfb._linear_interpolation_formula(a, b, t0)
-        l1 = nfb._linear_interpolation_formula(a, b, t1)
+        l0 = nfb._lerp(a, b, t0)
+        l1 = nfb._lerp(a, b, t1)
         if t0 == t1 or a == b:
             assert l0 == l1  # uninteresting
         elif (t0 < t1) == (a < b):
@@ -3503,9 +3503,9 @@ class TestLerp:
                                   min_value=-1e300, max_value=1e300))
     def test_linear_interpolation_formula_bounded(self, t, a, b):
         if a <= b:
-            assert a <= nfb._linear_interpolation_formula(a, b, t) <= b
+            assert a <= nfb._lerp(a, b, t) <= b
         else:
-            assert b <= nfb._linear_interpolation_formula(a, b, t) <= a
+            assert b <= nfb._lerp(a, b, t) <= a
 
     @hypothesis.given(t=st.floats(allow_nan=False, allow_infinity=False,
                                   min_value=0, max_value=1),
@@ -3515,15 +3515,15 @@ class TestLerp:
                                   min_value=-1e300, max_value=1e300))
     def test_linear_interpolation_formula_symmetric(self, t, a, b):
         # double subtraction is needed to remove the extra precision of t < 0.5
-        left = nfb._linear_interpolation_formula(a, b, 1 - (1 - t))
-        right = nfb._linear_interpolation_formula(b, a, 1 - t)
+        left = nfb._lerp(a, b, 1 - (1 - t))
+        right = nfb._lerp(b, a, 1 - t)
         assert left == right
 
     def test_linear_interpolation_formula_0d_inputs(self):
         a = np.array(2)
         b = np.array(5)
         t = np.array(0.2)
-        assert nfb._linear_interpolation_formula(a, b, t) == 2.6
+        assert nfb._lerp(a, b, t) == 2.6
 
 
 class TestMedian: