Remove compton-convgen.py

We have better blur configuration built into the compositor by now.

Signed-off-by: Yuxuan Shui <yshuiv7@gmail.com>

bin/compton-convgen.py

@@ -1,161 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-# vim:fileencoding=utf-8
-
-import math
-import argparse
-
-
-class CGError(Exception):
-    '''An error in the convolution kernel generator.'''
-    def __init__(self, desc):
-        super().__init__(desc)
-
-
-class CGBadArg(CGError):
-    '''An exception indicating an invalid argument has been passed to the
-    convolution kernel generator.'''
-    pass
-
-
-def mbuild(width, height):
-    """Build a NxN matrix filled with 0."""
-    result = list()
-    for i in range(height):
-        result.append(list())
-        for j in range(width):
-            result[i].append(0.0)
-    return result
-
-
-def mdump(matrix):
-    """Dump a matrix in natural format."""
-    for col in matrix:
-        print("[ ", end='')
-        for ele in col:
-            print(format(ele, "13.6g") + ", ", end=" ")
-        print("],")
-
-
-def mdumpcompton(matrix):
-    """Dump a matrix in compton's format."""
-    width = len(matrix[0])
-    height = len(matrix)
-    print("{},{},".format(width, height), end='')
-    for i in range(height):
-        for j in range(width):
-            if int(height / 2) == i and int(width / 2) == j:
-                continue
-            print(format(matrix[i][j], ".6f"), end=",")
-    print()
-
-
-def mnormalize(matrix):
-    """Scale a matrix according to the value in the center."""
-    width = len(matrix[0])
-    height = len(matrix)
-    factor = 1.0 / matrix[int(height / 2)][int(width / 2)]
-    if 1.0 == factor:
-        return matrix
-    for i in range(height):
-        for j in range(width):
-            matrix[i][j] *= factor
-    return matrix
-
-
-def mmirror4(matrix):
-    """Do a 4-way mirroring on a matrix from top-left corner."""
-    width = len(matrix[0])
-    height = len(matrix)
-    for i in range(height):
-        for j in range(width):
-            x = min(i, height - 1 - i)
-            y = min(j, width - 1 - j)
-            matrix[i][j] = matrix[x][y]
-    return matrix
-
-
-def gen_gaussian(width, height, factors):
-    """Build a Gaussian blur kernel."""
-
-    if width != height:
-        raise CGBadArg("Cannot build an uneven Gaussian blur kernel.")
-
-    size = width
-    sigma = float(factors.get('sigma', 0.84089642))
-
-    result = mbuild(size, size)
-    for i in range(int(size / 2) + 1):
-        for j in range(int(size / 2) + 1):
-            diffx = i - int(size / 2)
-            diffy = j - int(size / 2)
-            result[i][j] = 1.0 / (2 * math.pi * sigma) \
-                * pow(math.e, - (diffx * diffx + diffy * diffy) \
-                / (2 * sigma * sigma))
-    mnormalize(result)
-    mmirror4(result)
-
-    return result
-
-
-def gen_box(width, height, factors):
-    """Build a box blur kernel."""
-    result = mbuild(width, height)
-    for i in range(height):
-        for j in range(width):
-            result[i][j] = 1.0
-    return result
-
-
-def _gen_invalid(width, height, factors):
-    '''Handle a convolution kernel generation request of an unrecognized type.'''
-    raise CGBadArg("Unknown kernel type.")
-
-
-def _args_readfactors(lst):
-    """Parse the factor arguments."""
-    factors = dict()
-    if lst:
-        for s in lst:
-            res = s.partition('=')
-            if not res[0]:
-                raise CGBadArg("Factor has no key.")
-            if not res[2]:
-                raise CGBadArg("Factor has no value.")
-            factors[res[0]] = float(res[2])
-    return factors
-
-
-def _parse_args():
-    '''Parse the command-line arguments.'''
-
-    parser = argparse.ArgumentParser(description='Build a convolution kernel.')
-    parser.add_argument('type', help='Type of convolution kernel. May be "gaussian" (factor sigma = 0.84089642) or "box".')
-    parser.add_argument('width', type=int, help='Width of convolution kernel. Must be an odd number.')
-    parser.add_argument('height', nargs='?', type=int, help='Height of convolution kernel. Must be an odd number. Equals to width if omitted.')
-    parser.add_argument('-f', '--factor', nargs='+', help='Factors of the convolution kernel, in name=value format.')
-    parser.add_argument('--dump-compton', action='store_true', help='Dump in compton format.')
-    return parser.parse_args()
-
-
-def _main():
-    args = _parse_args()
-
-    width = args.width
-    height = args.height
-    if not height:
-        height = width
-    if not (width > 0 and height > 0):
-        raise CGBadArg("Invalid width/height.")
-    factors = _args_readfactors(args.factor)
-
-    funcs = dict(gaussian=gen_gaussian, box=gen_box)
-    matrix = (funcs.get(args.type, _gen_invalid))(width, height, factors)
-    if args.dump_compton:
-        mdumpcompton(matrix)
-    else:
-        mdump(matrix)
-
-
-if __name__ == '__main__':
-    _main()

man/compton.1.asciidoc

@@ -200,7 +200,7 @@ A 7x7 Gaussian blur kernel (sigma = 0.84089642) looks like:
 --blur-kern '7,7,0.000003,0.000102,0.000849,0.001723,0.000849,0.000102,0.000003,0.000102,0.003494,0.029143,0.059106,0.029143,0.003494,0.000102,0.000849,0.029143,0.243117,0.493069,0.243117,0.029143,0.000849,0.001723,0.059106,0.493069,0.493069,0.059106,0.001723,0.000849,0.029143,0.243117,0.493069,0.243117,0.029143,0.000849,0.000102,0.003494,0.029143,0.059106,0.029143,0.003494,0.000102,0.000003,0.000102,0.000849,0.001723,0.000849,0.000102,0.000003'
 ----
 +
-May also be one of the predefined kernels: `3x3box` (default), `5x5box`, `7x7box`, `3x3gaussian`, `5x5gaussian`, `7x7gaussian`, `9x9gaussian`, `11x11gaussian`. All Gaussian kernels are generated with sigma = 0.84089642 . You may use the accompanied `compton-convgen.py` to generate blur kernels.
+May also be one of the predefined kernels: `3x3box` (default), `5x5box`, `7x7box`, `3x3gaussian`, `5x5gaussian`, `7x7gaussian`, `9x9gaussian`, `11x11gaussian`. All Gaussian kernels are generated with sigma = 0.84089642 . If you find yourself needing to generate custom blur kernels, you might want to try the new blur configuration supported by the experimental backends (See *BLUR* and *--experimental-backends*).
 
 *--blur-background-exclude* 'CONDITION'::
 	Exclude conditions for background blur.

meson.build

@@ -69,8 +69,7 @@ test_h_dep = subproject('test.h').get_variable('test_h_dep')
 subdir('src')
 subdir('man')
 
-install_data(['bin/compton-convgen.py', 'bin/compton-trans'],
+install_data('bin/compton-trans', install_dir: get_option('bindir'))
-             install_dir: get_option('bindir'))
 install_data('compton.desktop', install_dir: 'share/applications')
 install_data('media/icons/48x48/compton.png',
              install_dir: 'share/icons/hicolor/48x48/apps')