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import numpy as np


def your_function(x):
    return x * np.random.rand()

# Repeatedly calling this,
#    pytest --caprng-global-np
# from the command line will fail with the same values
# over and over again until it passes.

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def portray_neighborhood_offsets(C, origin, dist_func=None):
    C = C.copy()
    C[origin] = 2
    
    fig, ax = plt.subplots(1, 1)
    ax.imshow(C, 
              interpolation='nearest',  # Not 'none'!
              aspect='equal', 
              cmap=plt.cm.Purples)
    

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import sys, locale


exprs = """
locale.getpreferredencoding()
type(fp)
fp.encoding
sys.stdout.isatty()
sys.stdout.encoding
sys.stdin.isatty()

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import matplotlib.pyplot as plt
from ipykernel.pylab.backend_inline import flush_figures
from IPython.display import display, clear_output, SVG


def replot_as_svg(fig=None, **adjustments):
    """
    Take a given matplotlib figure and write it as an embeddable SVG.

    :param fig: the matplotlib figure or None for implicit use of plt.gcf()

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from lxml.etree import fromstring, tostring


def hatch_safe_svg(data):
    # rsvg-convert doesn't resolve <pattern> fills from #fragment
    # URIs if they occur downfile from the usage. This makes sure 
    # definitions come first.
    doc = fromstring(data)
    defs = [el for el in doc.getchildren() 
            if el.tag == "{http://www.w3.org/2000/svg}defs"]

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geo $congress {
  # See: @congressedits
}

server {
  if ($congress) {
    rewrite ^ http://www.example.com/meta_random_refresh_original.html;
  }
}

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#!/bin/bash

###############################################################################
# setUp
###############################################################################

# Fail on first non-zero return value.
set -ev  

# Ensure a pristine environment.

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language: python
python:
  - "2.7"
  - "3.3"
  - "3.4"
  - "3.5"
install:
  - "pip install -r requirements.txt"
  - "pip install coveralls nose"
script: 

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [