smbinterp/gmsh/03_plotter.py

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import sys
import os
import sqlite3
from interp.tools import rms, improved
import numpy as np
from optparse import OptionParser
if __name__ == '__main__':
parser = OptionParser(usage = "usage: %s [options] <db file>")
parser.add_option("-R", "--resolution",
type="int", dest="res", default=1,
help="resolution (for constant resolution charts) (default: %default)")
parser.add_option("-t", "--time",
action="store_true", dest="time", default=False,
help="write out timing results (default: %default)")
parser.add_option("-T", "--truthy",
action="store_true", dest="truthy", default=False,
help="calculate truthiness plots (default: %default)")
parser.add_option("-r", "--rms",
action="store_true", dest="rms", default=False,
help="write out rms output (default: %default)")
(options, args) = parser.parse_args()
if len(args) != 1:
parser.print_usage()
sys.exit(1)
con = sqlite3.connect(args[0])
cur = con.cursor()
resolutions = np.array(cur.execute('select distinct res from results').fetchall())[:,0]
orders = np.array(cur.execute('select distinct ord from results').fetchall())[:,0]
extrapoints = np.array(cur.execute('select distinct ep from results').fetchall())[:,0]
print "# i found these resolutions %s, orders: %s, and extra points: %s" % (resolutions, orders, extrapoints)
if options.time:
for ep in extrapoints:
print "%d " % (ep,),
for order in orders:
for res in resolutions:
cur_results = cur.execute('select time from results where res = ? and ep = ? and ord = ?',
(int(res), int(ep),int(order)))
cur_time = np.array(cur_results.fetchall()).mean()
print "%e " % (cur_time,),
print
# print "%e" % np.array(cur.execute('select abs(exact - final) from results').fetchall()).mean()
if options.rms:
for ep in extrapoints:
print "%d " % (ep,),
for order in orders:
for res in resolutions:
cur_results = cur.execute('select abs(exact - final) from results where res = ? and ep = ? and ord = ?',
(int(res), int(ep),int(order)))
cur_time = rms(np.array(cur_results.fetchall()))
print "%e " % (cur_time,),
print
if options.truthy:
for ep in extrapoints:
print "%d " % (ep,),
for order in orders:
for res in resolutions:
cur_results = cur.execute('select qlin, err, final, exact from results where res = ? and ep = ? and ord = ?',
(int(res), int(ep),int(order)))
cur_array = np.array(cur.fetchall())
tf = [improved(*i) for i in cur_array]
win_percent = float(tf.count(True)) / len(tf)
print "%e " % (win_percent,),
print