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#!/usr/bin/env python

import base64
import os

# Get a number that is random enough for cryptographic purposes.
print base64.b64encode(os.urandom(50)).decode('ascii')

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        <div id="main-container">
            <div id="main">
                <h1>
                    <img alt="scubabook logo" src="{{ static_url("img/logo.png") }}">
                </h1>
                <div id="login-form">
                    <form action="/auth/login/" method="post" id="login_form">
                        <fieldset>
                            <label for="username">Username</label>
                            <input autocapitalize="off" autocorrect="off" class="text-input" id="username" name="username" tabindex="1" type="text" value="">

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import os
import random
from scrapy.conf import settings
class RandomUserAgentMiddleware(object):
    def process_request(self, request, spider):
        ua  = random.choice(settings.get('USER_AGENT_LIST'))
        if ua:
            request.headers.setdefault('User-Agent', ua)

class ProxyMiddleware(object):

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# Mathieu Blondel, September 2010

import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

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def NewTorIP():
    s = socket.socket()
    s.connect(('localhost', 9051))	
    s.send("AUTHENTICATE\r\n")
    r = s.recv(1024)
    if r.startswith('250'):
        s.send("signal NEWNYM\r\n")
        r = s.recv(1024)
        if r.startswith('250'):
            return True

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# -*- coding: utf-8 -*-
"""
example use of pandas with oracle mysql postgresql sqlite
    - updated 9/18/2012 with better column name handling; couple of bug fixes.
    - used ~20 times for various ETL jobs.  Mostly MySQL, but some Oracle. 

    to do:  
            save/restore index (how to check table existence? just do select count(*)?), 
            finish odbc, 
            add booleans?, 

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# -*- coding: utf-8 -*-
"""
example use of pandas with oracle mysql postgresql sqlite
    - updated 9/18/2012 with better column name handling; couple of bug fixes.
    - used ~20 times for various ETL jobs.  Mostly MySQL, but some Oracle. 

    to do:  
            save/restore index (how to check table existence? just do select count(*)?), 
            finish odbc, 
            add booleans?, 

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import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4,4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)

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import pyodbc
import numpy as np
import datetime
import pandas

def processCursor(cur, dataframe=False):
    datatypes = []
    colinfo = cur.description
    for col in colinfo:
        if col[1] == unicode: