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#!/usr/bin/env python3
'''
Run the script, then paste a "python-like" dictionary as input and press enter.
The script will output the json parseable version of the input.
'''
import json
import ast


def transform(obj):

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# Gist for discussion: https://github.com/fchollet/keras/pull/8592#discussion_r153287881


# OPTION 1 - replace list comprehension with for loop:

def func_load(code, defaults=None, closure=None, globs=None):
    """Deserializes a user defined function.

    # Arguments
        code: bytecode of the function.

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See Dockerfile and run-stuff.sh

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# Python version of: https://gist.github.com/davidbarber/16708b9135f13c9599f754f4010a0284
# as per blog post: https://davidbarber.github.io/blog/2017/04/03/variational-optimisation/
# also see https://www.reddit.com/r/MachineLearning/comments/63dhfc/r_evolutionary_optimization_as_a_variational/

from __future__ import print_function

import matplotlib
matplotlib.use('Agg')