cpython/Tools/pynche/ColorDB.py

237 lines
6.6 KiB
Python
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""Color Database.
This file contains one class, called ColorDB, and several utility functions.
The class must be instantiated by the get_colordb() function in this file,
passing it a filename to read a database out of.
The get_colordb() function will try to examine the file to figure out what the
format of the file is. If it can't figure out the file format, or it has
trouble reading the file, None is returned. You can pass get_colordb() an
optional filetype argument.
Supporte file types are:
X_RGB_TXT -- X Consortium rgb.txt format files. Three columns of numbers
from 0 .. 255 separated by whitespace. Arbitrary trailing
columns used as the color name.
The utility functions are useful for converting between the various expected
color formats, and for calculating other color values.
"""
import sys
import string
import re
from types import *
import operator
class BadColor(Exception):
pass
DEFAULT_DB = None
# generic class
class ColorDB:
def __init__(self, fp, lineno):
# Maintain several dictionaries for indexing into the color database.
# Note that while Tk supports RGB intensities of 4, 8, 12, or 16 bits,
# for now we only support 8 bit intensities. At least on OpenWindows,
# all intensities in the /usr/openwin/lib/rgb.txt file are 8-bit
#
# key is (red, green, blue) tuple, value is (name, [aliases])
self.__byrgb = {}
#
# key is name, value is (red, green, blue)
self.__byname = {}
#
# all unique names (non-aliases). built-on demand
self.__allnames = None
while 1:
line = fp.readline()
if not line:
break
# get this compiled regular expression from derived class
mo = self._re.match(line)
if not mo:
sys.stderr.write('Error in %s, line %d\n' % (fp.name, lineno))
lineno = lineno + 1
continue
#
# extract the red, green, blue, and name
#
red, green, blue = map(int, mo.group('red', 'green', 'blue'))
name = mo.group('name')
keyname = string.lower(name)
#
# TBD: for now the `name' is just the first named color with the
# rgb values we find. Later, we might want to make the two word
# version the `name', or the CapitalizedVersion, etc.
#
key = (red, green, blue)
foundname, aliases = self.__byrgb.get(key, (name, []))
if foundname <> name and foundname not in aliases:
aliases.append(name)
self.__byrgb[key] = (foundname, aliases)
#
# add to byname lookup
#
self.__byname[keyname] = key
lineno = lineno + 1
def find_byrgb(self, rgbtuple):
try:
return self.__byrgb[rgbtuple]
except KeyError:
raise BadColor(rgbtuple)
def find_byname(self, name):
name = string.lower(name)
try:
return self.__byname[name]
except KeyError:
raise BadColor(name)
def nearest(self, red, green, blue):
# TBD: use Voronoi diagrams, Delaunay triangulation, or octree for
# speeding up the locating of nearest point. Exhaustive search is
# inefficient, but may be fast enough.
nearest = -1
nearest_name = ''
for name, aliases in self.__byrgb.values():
r, g, b = self.__byname[string.lower(name)]
rdelta = red - r
gdelta = green - g
bdelta = blue - b
distance = rdelta * rdelta + gdelta * gdelta + bdelta * bdelta
if nearest == -1 or distance < nearest:
nearest = distance
nearest_name = name
return nearest_name
def unique_names(self):
# sorted
if not self.__allnames:
self.__allnames = []
for name, aliases in self.__byrgb.values():
self.__allnames.append(name)
# sort irregardless of case
def nocase_cmp(n1, n2):
return cmp(string.lower(n1), string.lower(n2))
self.__allnames.sort(nocase_cmp)
return self.__allnames
def aliases_of(self, red, green, blue):
try:
name, aliases = self.__byrgb[(red, green, blue)]
except KeyError:
raise BadColor((red, green, blue))
return [name] + aliases
class RGBColorDB(ColorDB):
_re = re.compile(
'\s*(?P<red>\d+)\s+(?P<green>\d+)\s+(?P<blue>\d+)\s+(?P<name>.*)')
# format is a tuple (RE, SCANLINES, CLASS) where RE is a compiled regular
# expression, SCANLINES is the number of header lines to scan, and CLASS is
# the class to instantiate if a match is found
X_RGB_TXT = re.compile('XConsortium'), 1, RGBColorDB
def get_colordb(file, filetype=X_RGB_TXT):
colordb = None
fp = None
typere, scanlines, class_ = filetype
try:
try:
lineno = 0
fp = open(file)
while lineno < scanlines:
line = fp.readline()
if not line:
break
mo = typere.search(line)
if mo:
colordb = class_(fp, lineno)
break
lineno = lineno + 1
except IOError:
pass
finally:
if fp:
fp.close()
# save a global copy
global DEFAULT_DB
DEFAULT_DB = colordb
return colordb
_namedict = {}
def rrggbb_to_triplet(color, atoi=string.atoi):
"""Converts a #rrggbb color to the tuple (red, green, blue)."""
rgbtuple = _namedict.get(color)
if rgbtuple is None:
assert color[0] == '#'
red = color[1:3]
green = color[3:5]
blue = color[5:7]
rgbtuple = (atoi(red, 16), atoi(green, 16), atoi(blue, 16))
_namedict[color] = rgbtuple
return rgbtuple
_tripdict = {}
def triplet_to_rrggbb(rgbtuple):
"""Converts a (red, green, blue) tuple to #rrggbb."""
hexname = _tripdict.get(rgbtuple)
if hexname is None:
hexname = '#%02x%02x%02x' % rgbtuple
_tripdict[rgbtuple] = hexname
return hexname
_maxtuple = (256.0,) * 3
def triplet_to_fractional_rgb(rgbtuple):
return map(operator.__div__, rgbtuple, _maxtuple)
def triplet_to_brightness(rgbtuple):
# return the brightness (grey level) along the scale 0.0==black to
# 1.0==white
r = 0.299
g = 0.587
b = 0.114
return r*rgbtuple[0] + g*rgbtuple[1] + b*rgbtuple[2]
if __name__ == '__main__':
import string
colordb = get_colordb('/usr/openwin/lib/rgb.txt')
if not colordb:
print 'No parseable color database found'
sys.exit(1)
# on my system, this color matches exactly
target = 'navy'
red, green, blue = rgbtuple = colordb.find_byname(target)
print target, ':', red, green, blue, triplet_to_rrggbb(rgbtuple)
name, aliases = colordb.find_byrgb(rgbtuple)
print 'name:', name, 'aliases:', string.join(aliases, ", ")
target = (1, 1, 128) # nearest to navy
target = (145, 238, 144) # nearest to lightgreen
target = (255, 251, 250) # snow
print 'finding nearest to', target, '...'
import time
t0 = time.time()
nearest = colordb.nearest(target)
t1 = time.time()
print 'found nearest color', nearest, 'in', t1-t0, 'seconds'