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import numpy as np
from vcelldata.simdata_models import NamedFunction, VariableType
def test_namedfunction_eval_add():
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.array([7, 8, 9])
vcell_expression = "v0 + v1 + v2"
bindings = {"v0": a, "v1": b, "v2": c}
function = NamedFunction(name="func1", vcell_expression=vcell_expression, variable_type=VariableType.VOLUME)
d: np.ndarray = function.evaluate(variable_bindings=bindings)
assert np.array_equal(d, a + b + c)
assert np.array_equal(d, np.array([12, 15, 18]))
assert np.array_equal(d, np.array([12.0, 15.0, 18.0]))
def test_namedfunction_eval_power():
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.array([7, 8, 9])
vcell_expression = "v0 + v1^v2"
bindings = {"v0": a, "v1": b, "v2": c}
function = NamedFunction(name="func1", vcell_expression=vcell_expression, variable_type=VariableType.VOLUME)
d: np.ndarray = function.evaluate(variable_bindings=bindings)
assert np.array_equal(d, a + b**c)
assert np.array_equal(d, np.array([a[0] + b[0]**c[0],
a[1] + b[1]**c[1],
a[2] + b[2]**c[2]]))
assert np.array_equal(d, np.array([16385, 390627, 10077699]))
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