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def as_scalar(value):
    """Like np.asscalar, but also works on scalar values (not just ndarrays)
    """
    return np.array(value).item()

def to_str(value):
    """Convert a (possibly bytes) string to unicode, which is comparable to
    strings on all Python versions

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class partial_by_order(object):
    """

    >>> f = partial_by_order(add, [(1, 10)])
    >>> f(5)
    15
    """
    def __init__(self, op, other):
        if (not isinstance(other, list) or
            not all(isinstance(o, tuple) and len(o) == 2 for o in other)):

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resampled_xray = xray.open_dataset(
    'COLA_data/resampled_tas_Amon_CCSM4_piControl_r3i1p1_000101-012012.nc')
climatology = resampled_xray.groupby('time.month').mean('time')
anomalies = resampled_xray.groupby('time.month') - climatology

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         4099953 function calls (4093947 primitive calls) in 14.571 seconds

   Ordered by: internal time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
    89302    4.795    0.000    5.585    0.000 linref.py:14(__call__)
      722    2.353    0.003    2.355    0.003 {cartopy.trace.project_linear}
    89302    1.491    0.000    1.781    0.000 point.py:188(geos_point_from_py)
      480    0.439    0.001    9.527    0.020 crs.py:329(_attach_lines_to_boundary)
   288301    0.439    0.000    0.439    0.000 base.py:209(empty)

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#!/usr/bin/env python
"""
simple example script for running and testing notebooks.

Usage: `ipnbdoctest.py foo.ipynb [bar.ipynb [...]]`

Each cell is submitted to the kernel, and the outputs are compared with those stored in the notebook.
"""

import os,sys,time