numpy.lib.tests.test_function_base.TestLerp

def test_linear_interpolation_formula_0d_inputs(self): (source) ¶

@hypothesis.given(t=st.floats(allow_nan=False, allow_infinity=False, min_value=0, max_value=1), a=st.floats(allow_nan=False, allow_infinity=False, min_value=-1e+300, max_value=1e+300), b=st.floats(allow_nan=False, allow_infinity=False, min_value=-1e+300, max_value=1e+300))
def test_linear_interpolation_formula_bounded(self, t, a, b): (source) ¶

@hypothesis.given(t0=st.floats(allow_nan=False, allow_infinity=False, min_value=0, max_value=1), t1=st.floats(allow_nan=False, allow_infinity=False, min_value=0, max_value=1), a=st.floats(allow_nan=False, allow_infinity=False, min_value=-1e+300, max_value=1e+300), b=st.floats(allow_nan=False, allow_infinity=False, min_value=-1e+300, max_value=1e+300))
def test_linear_interpolation_formula_monotonic(self, t0, t1, a, b): (source) ¶

@hypothesis.given(t=st.floats(allow_nan=False, allow_infinity=False, min_value=0, max_value=1), a=st.floats(allow_nan=False, allow_infinity=False, min_value=-1e+300, max_value=1e+300), b=st.floats(allow_nan=False, allow_infinity=False, min_value=-1e+300, max_value=1e+300))
def test_linear_interpolation_formula_symmetric(self, t, a, b): (source) ¶