JudoWill

import numpy as np
from keras import backend as K
from keras.legacy import interfaces
import keras
from keras.layers import Layer, InputLayer, Input
import tensorflow as tf
from keras.engine.topology import Node
from keras.utils import conv_utils

JudoWill

#!/usr/bin/env python
"""
Guide users through installing the installation dependencies
"""

# Unfortunately, we can't rely on setuptools' install_requires
# keyword, because matplotlib doesn't properly install its dependencies
from subprocess import check_call, CalledProcessError
import sys
import os

JudoWill

{
 "metadata": {
  "name": "ExampleSeqFigure"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

JudoWill

nbowlers = 5
nscores = 3

team_score = 0
for bowlernum in range(nbowlers):
	bowler_scores = []
	for game_num in range(nscore):
		prompt_string = “Please enter Bowler %i’s game score in game %i: \n” % (bowlernum+1, game_num+1) #because counting starts at zero
		score = int(raw_input(prompt_string))
		bowler_scores.append(score) #keep track of this bowler

JudoWill

function dydt=FBmodel(t,y)
%global y2

% Model file to be initiated by FBstart.m
% extract variable from y-vector

X=y(1);
S=y(2);
V=y(3);

JudoWill

from math import log, exp
from mpmath import loggamma

def logchoose(ni, ki):
    try:
        lgn1 = loggamma(ni+1)
        lgk1 = loggamma(ki+1)
        lgnk1 = loggamma(ni-ki+1)
    except ValueError:
        #print ni,ki

JudoWill

"""
PWMSearch

Searches through a fasta sequence for the relevant Position Weight Matrices 
from the Jaspar Database.

"""
from __future__ import division

from optparse import OptionParser

JudoWill

from paver.easy import *
import os.path, os
import csv
import ruffus
from collections import defaultdict
from types import GeneratorType, DictType
from itertools import ifilter


options(

JudoWill

import time, re, logging
from optparse import OptionParser
import os.path
import subprocess
from mechanize import Browser
from mechanize._form import ControlNotFoundError

USER_NAME = ''
PASSWORD = ''