# This is a component of AXIS, a front-end for emc
# Copyright 2005, 2006 Chris Radek <ch...@timeguy.com>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
02111-1307 USA
from minigl import *
translate = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6,
'7': 7, '8': 8, '9': 9, '-': 10, '.': 11, 'X': 12, 'Y': 13, 'Z': 14,
'G': 15,'V':16,'U':17}
class Hershey:
def __init__(self):
self.lists = glGenLists(10)
self.hershey = (
# 0
[[(240.0, 20.0), (180.0, 40.0), (140.0, 100.0), (120.0, 200.0),
(120.0, 260.0), (140.0, 360.0), (180.0, 420.0), (240.0, 440.0),
(280.0, 440.0), (340.0, 420.0), (380.0, 360.0), (400.0, 260.0),
(400.0, 200.0), (380.0, 100.0), (340.0, 40.0), (280.0, 20.0),
(240.0, 20.0)]],
# 1
[[(120.0, 100.0), (160.0, 80.0), (220.0, 20.0), (220.0, 440.0)]],
# 2
[[(140.0, 120.0), (140.0, 100.0), (160.0, 60.0), (180.0, 40.0),
(220.0, 20.0), (300.0, 20.0), (340.0, 40.0), (360.0, 60.0),
(380.0, 100.0), (380.0, 140.0), (360.0, 180.0), (320.0, 240.0),
(120.0, 440.0), (400.0, 440.0)]],
# 3
[[(160.0, 20.0), (380.0, 20.0), (260.0, 180.0), (320.0, 180.0),
(360.0, 200.0), (380.0, 220.0), (400.0, 280.0), (400.0, 320.0),
(380.0, 380.0), (340.0, 420.0), (280.0, 440.0), (220.0, 440.0),
(160.0, 420.0), (140.0, 400.0), (120.0, 360.0)]],
# 4
[[(320.0, 20.0), (120.0, 300.0), (420.0, 300.0)], [(320.0, 20.0),
(320.0, 440.0)]],
# 5
[[(360.0, 20.0), (160.0, 20.0), (140.0, 200.0), (160.0, 180.0),
(220.0, 160.0), (280.0, 160.0), (340.0, 180.0), (380.0, 220.0),
(400.0, 280.0), (400.0, 320.0), (380.0, 380.0), (340.0, 420.0),
(280.0, 440.0), (220.0, 440.0), (160.0, 420.0), (140.0, 400.0),
(120.0, 360.0)]],
# 6
[[(380.0, 80.0), (360.0, 40.0), (300.0, 20.0), (260.0, 20.0),
(200.0, 40.0), (160.0, 100.0), (140.0, 200.0), (140.0, 300.0),
(160.0, 380.0), (200.0, 420.0), (260.0, 440.0), (280.0, 440.0),
(340.0, 420.0), (380.0, 380.0), (400.0, 320.0), (400.0, 300.0),
(380.0, 240.0), (340.0, 200.0), (280.0, 180.0), (260.0, 180.0),
(200.0, 200.0), (160.0, 240.0), (140.0, 300.0)]],
# 7
[[(400.0, 20.0), (200.0, 440.0)], [(120.0, 20.0), (400.0, 20.0)]],
# 8
[[(220.0, 20.0), (160.0, 40.0), (140.0, 80.0), (140.0, 120.0),
(160.0, 160.0), (200.0, 180.0), (280.0, 200.0), (340.0, 220.0),
(380.0, 260.0), (400.0, 300.0), (400.0, 360.0), (380.0, 400.0),
(360.0, 420.0), (300.0, 440.0), (220.0, 440.0), (160.0, 420.0),
(140.0, 400.0), (120.0, 360.0), (120.0, 300.0), (140.0, 260.0),
(180.0, 220.0), (240.0, 200.0), (320.0, 180.0), (360.0, 160.0),
(380.0, 120.0), (380.0, 80.0), (360.0, 40.0), (300.0, 20.0),
(220.0, 20.0)]],
# 9
[[(380.0, 160.0), (360.0, 220.0), (320.0, 260.0), (260.0, 280.0),
(240.0, 280.0), (180.0, 260.0), (140.0, 220.0), (120.0, 160.0),
(120.0, 140.0), (140.0, 80.0), (180.0, 40.0), (240.0, 20.0),
(260.0, 20.0), (320.0, 40.0), (360.0, 80.0), (380.0, 160.0),
(380.0, 260.0), (360.0, 360.0), (320.0, 420.0), (260.0, 440.0),
(220.0, 440.0), (160.0, 420.0), (140.0, 380.0)]],
# -
[[(80, 260), (440, 260)]],
# .
[[(120, 400), (100, 420), (120, 440), (140, 420), (120, 400)]],
# X
[[(60, 20), (340, 440)], [(340, 20), (60, 440)]],
# Y
[[(40, 20), (200, 220), (200, 440)], [(360, 20), (200, 220)]],
# Z
[[(340, 20), (60, 440)], [(60, 20), (340, 20)],
[(60, 440), (340, 440)]],
# G
[[(380.0, 80.0), (360.0, 40.0), (300.0, 20.0), (260.0, 20.0),
(200.0, 40.0), (160.0, 100.0), (140.0, 200.0), (140.0, 300.0),
(160.0, 380.0), (200.0, 420.0), (260.0, 440.0), (280.0, 440.0),
(340.0, 420.0), (380.0, 380.0), (400.0, 320.0),
(400.0, 280.0), (270.0, 280.0)
]],
# V
[[(60, 20), (200, 440)], [(340, 20), (200, 440)]],
# U
[[(60, 20), (60, 400),(95,410),(130,420),(165,430),(200,440)],
[(340, 20),(340, 400),(305, 410),(270, 420),(235, 430),(200, 440)]]
)
for i in range(len(self.hershey)):
digit = self.hershey[i]
glNewList(self.lists + i, GL_COMPILE)
for stroke in digit:
glBegin(GL_LINE_STRIP)
for point in stroke:
glVertex3f(point[0], 440-point[1], 0)
glEnd()
glEndList()
def plot_digit(self, n):
glPushMatrix()
glScalef(1/440.0, 1/440.0, 1/440.0)
glCallList(self.lists + n)
glPopMatrix()
def plot_string(self, s, frac=0, bbox=0):
glPushMatrix()
mat = glGetDoublev(GL_MODELVIEW_MATRIX)
if mat[10] < -.001:
glTranslatef(0, .5, 0)
glRotatef(180, 0, 1, 0)
glTranslatef(0, -.5, 0)
frac = 1 - frac
mat = glGetDoublev(GL_MODELVIEW_MATRIX)
if mat[5] < -.001:
glTranslatef(0, .5, 0)
glRotatef(180, 0, 0, 1)
glTranslatef(0, -.5, 0)
frac = 1 - frac
if frac:
len = self.string_len(s)
glTranslatef(-len*frac, 0, 0)
glScalef(1/440.0, 1/440.0, 1/440.0)
if bbox:
glBegin(GL_LINE_STRIP)
glVertex3f(-140, -140, 0)
glVertex3f(self.string_len(s)*440.0 + 140, -140, 0)
glVertex3f(self.string_len(s)*440.0 + 140, 580.0, 0)
glVertex3f(-140, 580.0, 0)
glVertex3f(-140, -140, 0)
glEnd()
for c in s:
glCallList(self.lists + translate[c])
if c == '1':
glTranslatef(260, 0, 0)
elif c == '.':
glTranslatef(180, 0, 0)
else:
glTranslatef(400, 0, 0)
glPopMatrix()
def string_len(self, s):
l = 0.0
for c in s:
if c == '1':
l += 260.0
elif c == '.':
l += 180.0
else:
l += 400.0
return l/440.0
def center_string(self, s):
len = self.string_len(s)
glTranslatef(-len/2, -.5, 0)
------------------------------------------------------------------------------
All the data continuously generated in your IT infrastructure
contains a definitive record of customers, application performance,
security threats, fraudulent activity, and more. Splunk takes this
data and makes sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-novd2d
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