def main():
# Setup the root UI
root = tkinter.Tk()
root.title("JSON editor")
root.columnconfigure(0, weight=1)
root.rowconfigure(0, weight=1)
fname = None
if len(sys.argv) > 1:
fname = sys.argv[1]
Data = treewalk.loadfile(sys.argv[1])
# Setup the Frames
TreeFrame = ttk.Frame(root, padding="3")
TreeFrame.grid(row=0, column=0, sticky=tkinter.NSEW)
# Setup the Tree
tree = ttk.Treeview(TreeFrame, columns=('Values'))
tree.column('Values', width=100, anchor='w')
tree.heading('Values', text='Values')
tree.bind('<Double-1>', edit_cell)
tree.bind('<Return>', edit_cell)
JSONTree(tree, '', Data)
tree.pack(fill=tkinter.BOTH, expand=1)
# Limit windows minimum dimensions
root.update_idletasks()
root.minsize(root.winfo_reqwidth(), root.winfo_reqheight())
root.mainloop()
def main():
initialize()
fname = None
if len(sys.argv) > 1:
fname = sys.argv[1]
tree = tw.loadfile(fname)
tree = populate_stats(tree)
print_tree(tree)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--input', '-i', help="Input file, default: stdin.",
default=None, type=str, dest='fname')
args = parser.parse_args()
fname = args.fname
tw = TreeWalker(action, Ctx)
tree = loadfile(fname)
tw.walktree(tree)
def main():
initialize()
p = parser()
args = p.parse_args()
fname = args.fname
global ROOT_ID
ROOT_ID = args.name
tree = treewalk.loadfile(fname)
tree = populate_stats(tree)
print_tree(tree)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--input', '-i', help="Input file, default: stdin.",
default=None, type=str, dest='fname')
args = parser.parse_args()
if args.fname:
args.title = 'Tree analysis for ' + args.fname
else:
args.title = 'Tree analysis process ' + str(os.getpid())
legend = '(\\$: problem size <= possible scores, \\+: optimal split, \\*: root code not a solution.)'
title = args.title
fname = args.fname
global PFXGEN
PFXGEN = PrefixGen()
PFXGEN.skip_non_reducing = True
tw = TreeWalker(action, Ctx)
tree = loadfile(fname)
tw.walktree(tree)
summary = Summary(tree)
global PRINTED_PFX_LEN
PRINTED_PFX_LEN = (len(str(CODETABLE.CODES[0]))+2) * MAX_PFX_LEN + 2
columns = (
('prefix', PRINTED_PFX_LEN, 'r'),
('flags', max(len('flags'), 6), 'l'),
('#children', max(len('#children'), 6), 'l'),
('problem size', max(len('problem size'), 6), 'l'),
('max subproblem', max(len('max subproblem'), 6), 'l'),
('#preserving', max(len('#preserving'), 6), 'l'),
('#distinct/in', max(len('#distinct/in'), 4), 'l'),
('#distinct/all', max(len('#distinct/all'), 4), 'l'))
separator = ' '.join(map(lambda c: '=' * c[1], columns))
header = ' '.join(map(lambda c: pad(c[0], c), columns))
formats = ("%s", "%s", "%5d", "%5d", "%5d", "%6d", "%4d", "%4d")
locale.setlocale(locale.LC_ALL, 'en_US')
print title
print '=' * len(title)
print "\nAverage game: {:.4f} moves, Longest game: {} moves\n\n".format(
summary.mean_game(),
locale.format("%d", summary.longest_game(), grouping=True))
print """.. table:: Prefix properties of a game tree %s
:widths: %s
:column-wrapping: %s
:column-alignment: %s
:column-dividers: %s
""" % (legend,
('1 ' * len(columns)),
('false' + ' true' * len(columns[1:])),
('left' + ' right' * len(columns[1:])),
'single' + ' single' * len(columns))
print ' ' + separator
print ' ' + header
print ' ' + separator
for r in sorted(RECORDS, lambda a, b: cmp(len(a[0]), len(b[0])) or cmp(a[0], b[0]) or cmp(b[4], a[4])):
(pfx, insoln, optimal, nchildren, psize, maxprob, ninv, nd_in, nd_all) = r
fields = (format_prefix(pfx),
''.join((('\\$' if psize <= CODETABLE.NSCORES else ''),
('' if insoln else '\\*'), ('\\+' if optimal else ''))),
nchildren,
psize,
maxprob,
ninv,
nd_in,
nd_all)
printable = map(lambda i: locale.format(i[0], i[1], grouping=True), zip(formats, fields))
printable = map(lambda i: pad(i[0], i[1]), zip(printable, columns))
print ' ' + (' '.join(printable))
print ' ' + separator
