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#!/usr/bin/env python

import subprocess

# find the names of packages conda says are managed by pip
conda_raw = subprocess.run(['conda', 'list'], stdout=subprocess.PIPE).stdout.decode('utf-8')
pip_only_pkgs = {ln.split(' ')[0] for ln in conda_raw.split('\n') if '<pip>' in ln}

# find the names of packages pip says are outdated (assumes column pip output)
pip_raw = subprocess.run(['pip', 'list', '--outdated'], stdout=subprocess.PIPE).stdout.decode('utf-8')

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from numpy import tensordot, stack


def einsum_to_axes(lhix, rhix):
    """Take two einsum inputs (strs) and produce
    the tuples of ints required for tensordot.
    """
    ix_rm = set(lhix) & set(rhix)
    lh_ax, rh_ax = [], []
    for ix in ix_rm:

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import networkx as nx

reg = 3
n = 100
seed = 0

gamma0 = -0.743043
beta0 = 0.754082

# create the random graph

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import functools 
import numpy as np 
 
 
transpose = np.transpose 
einsum = np.einsum 
 
 
@functools.lru_cache(1) 
def get_hasher(): 

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\.ipynb_checkpoints/

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#!/usr/bin/env python

import subprocess

print("Finding packages conda says are installed by pip...")
conda_raw = subprocess.run(
    ['conda', 'list'],
    stdout=subprocess.PIPE,
    stderr=subprocess.PIPE,
).stdout.decode('utf-8')

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def oinsum(eq, *arrays):
    """A ``einsum`` implementation for ``numpy`` object arrays.
    """
    import numpy as np
    import functools
    import operator

    lhs, output = eq.split('->')
    inputs = lhs.split(',')