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Advent of code

2020

Day 1

1st problem

import numpy as np

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import numpy as np
import tensorflow as tf
import keras.backend as K
from keras.layers import Dense, Input, Dropout
from keras.models import Model
from keras.engine import Layer

# Reverse gradient layer from https://github.com/michetonu/gradient_reversal_keras_tf/blob/master/flipGradientTF.py
# - Added compute_output_shape for Keras 2 compatibility
# - Fixed bug where RegisterGradient was raising a KeyError

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class Map(dict):
    """
    Example:
    m = Map({'first_name': 'Eduardo'}, last_name='Pool', age=24, sports=['Soccer'])
    """
    def __init__(self, *args, **kwargs):
        super(Map, self).__init__(*args, **kwargs)
        for arg in args:
            if isinstance(arg, dict):
                for k, v in arg.items():

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Install Jupyter extensions

• SSH to the server where jupyterhub is installed.
• Copy the notebook extensions to your local nbextensions folder.

# code folding: https://github.com/ipython-contrib/IPython-notebook-extensions/wiki
jupyter nbextension install https://github.com/ipython-contrib/IPython-notebook-extensions/archive/master.zip --user

# cells vertical split, table of contents: https://github.com/Calysto/notebook-extensions

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import json
import re
import string
from IPython.display import display_markdown

class TOC:
    def __init__(self, notebook_path):
        """
        Class that builds a table of content for a given notebook. For now, it
        only accepts markdown headers using the '#' format (e.g.: ## This is a