| 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])) | |