rsnape

Keybase proof

I hereby claim:

• I am rsnape on github.
• I am snapey (https://keybase.io/snapey) on keybase.
• I have a public key whose fingerprint is 64BC F1D9 9DBE FFA0 2B10 9C22 19F0 B086 51E8 132F

To claim this, I am signing this object:

rsnape

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rsnape

import timeit

def to_base_7(n):
    """
    Express an int as a base 7 string
    If libraries are allowed - numpy.base_repr()
    would almost certainly be faster
    """
    s, n = [], int(n)
    while n > 7:

rsnape

import wx
#from wx.lib.pubsub.core import Publisher #If you want to manage your own publisher use this
from wx.lib.pubsub import pub
import threading

class ParcelData(object):
    def __init__(self,count,current,message):
        self.parcel_count = count
        self.current_parcel = current
        self.message = message

rsnape

import numpy as np
from sklearn.utils import check_array

ut = np.memmap('D:\\my_array2.mmap', dtype=np.float16, mode='w+', shape=(140000,3504))
print repr(ut), ut.shape
res = check_array(ut)
print 'Memory check passed',repr(res),res.shape #This will print the same contents and shape as above

res = check_array(ut, dtype=np.float) # This is the actual line used in IncrementalPCA
                                      # https://github.com/scikit-learn/scikit-learn/blob/0.16.X/sklearn/decomposition/incremental_pca.py#L165

rsnape

from math import radians, sin, cos, sqrt, asin, factorial
from itertools import combinations, permutations

# by average circumference instead of authalic radius (assume planes)
# shouldn't actually matter for our purposes as we're using this to generate weights
# been nodes/vertices.
EARTH_RADIUS_KM = 6372.8


def haversine(lat1, long1, lat2, long2, planet_radius=EARTH_RADIUS_KM):

rsnape

import pandas, pdb, os, csv, datetime, numpy, brewer2mpl
import matplotlib.pyplot as plt
import matplotlib.colorbar as cbar
from matplotlib import rcParams
import palettable
from dateutil import rrule
import matplotlib
import calendar

def set_matplotlib_params():

rsnape

# Natural Language Toolkit: Clusterer Utilities
#
# Copyright (C) 2001-2014 NLTK Project
# Author: Trevor Cohn <tacohn@cs.mu.oz.au>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
from __future__ import print_function, unicode_literals

import copy
from sys import stdout