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figsize(10,5)
x = np.linspace(-10,10,10000)
y1 = x.astype(np.float32)
y2 = x.astype(np.float16)
# plt.semilogy(np.abs(x - x))
plt.semilogy(np.abs(x - y1))
plt.semilogy(np.abs(x - y2))
plt.legend(['32','16'])
label('Original value','Error','Error when reducing precision of 64-bit floats')

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# Matplotlib depends on a few libraries that seem to be missing. Run the following commands to get them. 
sudo apt-get install libsm6
sudo apt-get install libxrender1

# Zappa depends on these. 
sudo apt-get install libffi-dev
sudo apt-get install libssl-dev

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import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

x = np.arange(256).astype(np.uint8)
y = np.array(map(lambda x: np.unpackbits([x]).sum(), x))

figsize(10,5)
plt.step(x,y,'k', linewidth = 1)
plt.axis([-2,257,0,8.2])

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import Time exposing (Time)
import Graphics.Element exposing (show, image)
import Graphics.Collage exposing (collage, path, solid, traced, defaultLine, toForm, move)
import Signal
import Window
import Color exposing (..)
import String

duration = 60 * 5
multiplier = 0.95

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import numpy as np
import hashlib

def create_block(parent_block, value, hashfunc):
    """ ------------------------------------------------
        String -> Block -> (Block -> String) -> Block
        ------------------------------------------------
        Produce a new block from a string value and a hash 
        of its parent block. In this case, a block is also a string. 
    """ 

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import Html exposing (Html, Attribute, text, toElement, fromElement, div, span, input, textarea)
import Html.Attributes exposing (placeholder, value, style)
import Html.Events exposing (on, targetValue, onClick, onDoubleClick, onMouseDown)
import Signal exposing (Address)
import String
import Array exposing (Array)
import Json.Decode as Json

import StartApp as StartApp
import Dict exposing (Dict)

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execfile('/home/bioage/utils/utils.py')
import xmltodict #https://github.com/martinblech/xmltodict

drugbank_xml_file = "path/to/xml/file"
drugbank_json_file = "path/to/json/file" # save json here
drugbank_csv_file = "path/to/csv/file" # save csv here

# Convert XML to JSON and save
drugbank_dict = xmltodict.parse(read_file(drugbank_xml_file)) # takes around 6 minutes
write_file(drugbank_json_file, json.dumps(drugbank_dict))

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execfile('viridis.py')

from matplotlib.colors import ListedColormap
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
from PIL import Image

def image2array(filename):
    im = Image.open('logo.jpg')

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from matplotlib.colors import ListedColormap
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

# Manuall add Viridis colormap
viridis = ListedColormap(_viridis_data, name='viridis')
viridis_r = ListedColormap(viridis.colors[::-1]) #reversed

def updatePosition(position, direction):