Function max_per_block

Wrapping/Python/vtkmodules/numpy_interface/algorithms.py:421–452

Returns the max of all values along a particular axis (dimension) for each block of a VTKCompositeDataArray. Given an array of m tuples and n components: * Default is to return the max of all values in an array. * axis=0: Return the max values of all components and return a one

(array, axis=None, controller=None)

        return sum(array, axis, controller)

def max_per_block(array, axis=None, controller=None):
    """Returns the max of all values along a particular axis (dimension)
    for each block of a VTKCompositeDataArray.
    Given an array of m tuples and n components:
    * Default is to return the max of all values in an array.
    * axis=0: Return the max values of all components and return a one
      tuple, n-component array.
    * axis=1: Return the max values of all components of each tuple and return
      an m-tuple, 1-component array.

    When called in parallel, this function will compute the max across
    processes when a controller argument is passed or the global controller
    is defined. To disable parallel summing when running in parallel, pass a
    dummy controller as follows:

    max_per_block(array, controller=vtkmodules.vtkParallelCore.vtkDummyController()).
    """
    class MaxPerBlockImpl:
        def op(self):
            return max

        def op2(self):
            return algs.max

        def mpi_op(self):
            from mpi4py import MPI
            return MPI.MAX

        def default(self):
            return numpy.finfo(numpy.float64).min

    return _global_per_block(MaxPerBlockImpl(), array, axis, controller)

def min_per_block(array, axis=None, controller=None):
    """Returns the min of all values along a particular axis (dimension)