partition code in python

Partition

""" Functions to drive algorithm execution in Apache Spark.

All coordinates are handled according to GeoJSON specifications.
http://geojson.org/geojson-spec.html"""

import geojson
import itertools
import math

def bbox(multipoint):
    """ Determines minimum geometry from points.

    Args:
        multipoint: A GeoJSON multipoint

    Returns:
        A four element list: [minx, miny, maxx, maxy]"""
    pass

def partition_size(item_count, partition_count):
    """ Given a count and desired number of partitions determine the partition
    size

    Args:
        item_count:      number of items to be partitioned
        partition_count: desired number of partitions

    Returns:
        Size of each partition """
    return math.ceil(item_count / partition_count)

def partition(iterable, size=1, fillvalue=None):
    """ Bins items in buckets of requested size """
    # partition('ABCDEFG', 3, 'x') --> ABC DEF Gxx"
    # partition([1, 2, 3, 4, 5], 3, None) --> [[1, 2, 3], [4, 5, None]]
    args = [iter(iterable)] * size
    return itertools.zip_longest(*args, fillvalue=fillvalue)

def tiles(multipoint, partitions=1):
    """ Given multiple polygons determine a set of   """
    pass

def pyccd(point, spectra):
    """ For a given x, y and spectra, execute and returns results from pyccd """
    pass

def train():
    pass

def classify():
    pass

def product_a():
    pass

def product_b():
    pass

def results(x, y, algorithm_fn, inputs):