made it so that we can calculate truthiness
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b1626060cf
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560fd9a0a5
@ -5,6 +5,8 @@ indexes = {
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2: {
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'order' : 0,
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'ep' : 1,
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'qlin' : 4,
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'err' : 5,
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'final' : 6,
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'exact' : 7,
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'time' : 8,
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@ -12,6 +14,8 @@ indexes = {
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3: {
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'order' : 0,
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'ep' : 1,
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'qlin' : 5,
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'err' : 6,
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'final' : 7,
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'exact' : 8,
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'time' : 9,
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@ -33,10 +37,12 @@ if __name__ == '__main__':
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resolution = int(cur_filename.split('.')[1])
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lines = np.loadtxt(cur_filename)
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for line in lines:
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print "%d %d %d %e %e %e" % (
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print "%d %d %d %e %e %e %e %e" % (
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resolution,
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line[indexes[dim]['order']],
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line[indexes[dim]['ep' ]],
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line[indexes[dim]['qlin' ]],
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line[indexes[dim]['err' ]],
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line[indexes[dim]['final']],
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line[indexes[dim]['exact']],
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line[indexes[dim]['time' ]],
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@ -19,8 +19,8 @@ if __name__ == '__main__':
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con = sqlite3.connect(sql_file_name)
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cur = con.cursor()
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cur.execute('DROP TABLE IF EXISTS results')
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cur.execute('CREATE TABLE results (res INTEGER, ord INTEGER, ep INTEGER, final FLOAT, exact FLOAT, time FLOAT)')
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cur.executemany("insert into results values(?,?,?,?,?,?)", data)
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cur.execute('CREATE TABLE results (res INTEGER, ord INTEGER, ep INTEGER, qlin FLOAT, err FLOAT, final FLOAT, exact FLOAT, time FLOAT)')
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cur.executemany("insert into results values(?,?,?,?,?,?,?,?)", data)
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con.commit()
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cur.close()
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con.close()
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@ -2,7 +2,7 @@ import sys
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import os
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import sqlite3
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from interp.tools import rms
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from interp.tools import rms, improved
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import numpy as np
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@ -19,9 +19,9 @@ if __name__ == '__main__':
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action="store_true", dest="time", default=False,
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help="write out timing results (default: %default)")
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parser.add_option("-T", "--time-by-res",
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action="store_true", dest="time", default=False,
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help="write out timing (default: %default)")
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parser.add_option("-T", "--truthy",
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action="store_true", dest="truthy", default=False,
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help="calculate truthiness plots (default: %default)")
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parser.add_option("-r", "--rms",
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action="store_true", dest="rms", default=False,
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@ -67,3 +67,18 @@ if __name__ == '__main__':
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print "%e " % (cur_time,),
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print
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if options.truthy:
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for ep in extrapoints:
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print "%d " % (ep,),
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for order in orders:
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for res in resolutions:
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cur_results = cur.execute('select qlin, err, final, exact from results where res = ? and ep = ? and ord = ?',
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(int(res), int(ep),int(order)))
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cur_array = np.array(cur.fetchall())
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tf = [improved(*i) for i in cur_array]
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win_percent = float(tf.count(True)) / len(tf)
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print "%e " % (win_percent,),
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print
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