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import dask
import dask.array as da
import numpy as np


def _inner_axes(a_ndim, b_ndim, axes):
    """Given tensordot axes argument, return list of axes to sum over."""
    if isinstance(axes, (int, float)):
        if axes == 0:
            inner_axes_a = []

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def _tensordot_shape_output(a, b, axes):
    if isinstance(axes, (int, float)):
        if axes == 0:
            shape_out = a.shape + b.shape
            chunks_out = a.chunks + b.chunks
        elif axes > 0:
            shape_out = a.shape[:axes-1] + b.shape[axes-1:]
            chunks_out = a.chunks[:axes-1] + b.chunks[axes-1:]
    else:
        axes_a, axes_b = axes

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import numpy as np
import pandas as pd


def _find_slices(x):
    """An alternative to scipy.ndi.find_objects"""
    unique_vals = np.unique(x)
    unique_vals = unique_vals[unique_vals != 0]
    result = {}
    for val in unique_vals:

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import math

import numpy as np
import pytest


def combine_slices(slices):
    starts = [s.start for s in slices if s.start is not None]
    stops = [s.stop for s in slices if s.stop is not None]
    steps = [s.step for s in slices if s.step is not None]

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import matplotlib.pyplot as plt
%matplotlib inline

plt.errorbar(
    [1,2,3],
    [1,2,3],
    yerr=[.1, .2, .3],
    color='blue', marker='o', linestyle='dashed',
    )
plt.title("Example")

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from html import escape


class HighLevelGraphHTML():
    def __init__(self, highlevelgraph):
        self.highlevelgraph = highlevelgraph
        pass

    def _repr_html_(self):
        highlevelgraph = self.highlevelgraph

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GenevieveBuckley