def parametrize(param_name, params):
    """Decorator for benchmarking over a set of parameters.

    Parameters
    ----------
    param_name : str
        Parameter name. Must be one of the arguments of the decorated function.
    params : list[any]
        List of values to benchmark for the given parameter name. Recommend
        to use Python's native object type (e.g., int, str, list[int]) because
        ASV will display them on the plot.

    Examples
    --------

    Benchmark function `foo` when argument `x` is equal to 10 or 20.

    .. code::
        @benchmark('time')
        @parametrize('x', [10, 20]):
        def foo(x):
            pass

    Benchmark function with multiple parametrizations. It will run the function
    with all possible combinations. The example below generates 6 benchmarks.

    .. code::
        @benchmark('time')
        @parametrize('x', [10, 20]):
        @parametrize('y', [-1, -2, -3]):
        def foo(x, y):
            pass

    When using multiple parametrizations, it can have arbitrary order. The example
    below is the same as the above one.

    .. code::
        @benchmark('time')
        @parametrize('y', [-1, -2, -3]):
        @parametrize('x', [10, 20]):
        def foo(x, y):
            pass
    """

    def _wrapper(func):
        sig_params = inspect.signature(func).parameters.keys()
        num_params = len(sig_params)
        if getattr(func, "params", None) is None:
            func.params = [None] * num_params
        if getattr(func, "param_names", None) is None:
            func.param_names = [None] * num_params
        found_param = False
        for i, sig_param in enumerate(sig_params):
            if sig_param == param_name:
                func.params[i] = params
                func.param_names[i] = param_name
                found_param = True
                break
        if not found_param:
            raise ValueError("Invalid parameter name:", param_name)
        return func

    return _wrapper
Decorator for benchmarking over a set of parameters.

    Parameters
    ----------
    param_name : str
        Parameter name. Must be one of the arguments of the decorated function.
    params : list[any]
        List of values to benchmark for the given parameter name. Recommend
        to use Python's native object type (e.g., int, str, list[int]) because
        ASV will display them on the plot.

    Examples
    --------

    Benchmark function `foo` when argument `x` is equal to 10 or 20.

    .. code::
        @benchmark('time')
        @parametrize('x', [10, 20]):
        def foo(x):
            pass

    Benchmark function with multiple parametrizations. It will run the function
    with all possible combinations. The example below generates 6 benchmarks.

    .. code::
        @benchmark('time')
        @parametrize('x', [10, 20]):
        @parametrize('y', [-1, -2, -3]):
        def foo(x, y):
            pass

    When using multiple parametrizations, it can have arbitrary order. The example
    below is the same as the above one.

    .. code::
        @benchmark('time')
        @parametrize('y', [-1, -2, -3]):
        @parametrize('x', [10, 20]):
        def foo(x, y):
            pass
    
benchmarks/benchmarks/utils.py