public void max_5_7_6_1()
{
max target = new max(); // TODO: Initialize to an appropriate value
object[] args = new string[4]; // TODO: Initialize to an appropriate value
args[0] = "5";
args[1] = "7";
args[2] = "6";
args[3] = "1";
object expected = "7"; // TODO: Initialize to an appropriate value
object actual = target.run(args);
actual = target.run(args);
Assert.AreEqual(expected, actual);
}
// TODO! create an overload because np.power also allows to pass an array of exponents for every entry in the array
public override NDArray ClipNDArray(in NDArray lhs, in NDArray min, in NDArray max, Type dtype, NDArray @out = null) => ClipNDArray(lhs, min, max, dtype?.GetTypeCode(), @out);
=> EnsureSize(ref array, min, max, keepOld, out bool _);
// TODO! create an overload because np.power also allows to pass an array of exponents for every entry in the array
public override NDArray Clip(in NDArray lhs, in ValueType min, in ValueType max, Type dtype) => Clip(lhs, min, max, dtype?.GetTypeCode());
public ToggleMaxRegenAttribute(T value = default, T max = default, T regen = default, bool enabled = true) => InitValues(enabled, value, max, regen);
// TODO! create an overload because np.power also allows to pass an array of exponents for every entry in the array
public override NDArray ClipNDArray(in NDArray lhs, in NDArray min, in NDArray max, Type dtype) => ClipNDArray(lhs, min, max, dtype?.GetTypeCode());
@FeeData varchar(max) output
pow((pow(max, exp + 1) - pow(min, exp + 1)) * pow(random.NextFloat(), randexp) + pow(min, exp + 1), 1 / (exp + 1));
var(max, min) = valueTuple;
