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def plot_data(*args, **kwargs):
    save = kwargs.pop('save', False)

    import matplotlib.pyplot as plt
    import iris.plot as iplt

    markers = ('+', 'x', 's')

    if save is True:
        plt.switch_backend('Agg')

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from netCDF4 import Dataset
import numpy as np
import os


def process_usage():
    fnme = os.path.join('/', 'proc', str(os.getpid()), 'status')
    usage = {}
    with open(fnme, 'r') as fh:
        for line in fh:

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import os
import biggus
import iris
import numpy as np


print iris.__file__, iris.__version__
print biggus.__file__, biggus.__version__

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from functools import wraps
import os


def proc_stat():
    pid = os.getpid()
    fnme = os.path.join('/', 'proc', str(pid), 'status')

    fields = ['VmSize', 'VmRSS', 'VmPeak', 'VmHWM']
    with open(fnme, 'r') as fh:

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def mosaic(iterable_shape, subdivided_shape):
    """
    Return a generator of slices that represent a subdivided indexing of an iterable of specified shape.
    
    """
    shape = subdivided_shape
    if len(iterable_shape) != len(shape):
        raise ValueError('Array shape and resulting shape mismatch, broadcasting not supported.')
    
    # iterate through this array with shape (shape)

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import shutil
import tempfile


class TemporaryDirectory(object):
    """
    Context manager for tempfile.mkdtemp().

    This class is available in python +v3.2.

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