Mercurial > touhou
annotate pytouhou/utils/matrix.pyx @ 415:236bc32597f1
Add a --verbosity option, to disable logging for machines with a very slow terminal.
author | Emmanuel Gil Peyrot <linkmauve@linkmauve.fr> |
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date | Tue, 16 Jul 2013 21:13:56 +0200 |
parents | 5fe6cd6ceb48 |
children | efae61ad6efe |
rev | line source |
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1 # -*- encoding: utf-8 -*- |
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2 ## |
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3 ## Copyright (C) 2011 Thibaut Girka <thib@sitedethib.com> |
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4 ## |
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5 ## This program is free software; you can redistribute it and/or modify |
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6 ## it under the terms of the GNU General Public License as published |
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7 ## by the Free Software Foundation; version 3 only. |
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8 ## |
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9 ## This program is distributed in the hope that it will be useful, |
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10 ## but WITHOUT ANY WARRANTY; without even the implied warranty of |
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11 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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12 ## GNU General Public License for more details. |
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13 ## |
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14 |
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15 from libc.math cimport sin, cos |
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16 from ctypes import c_float |
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17 |
4 | 18 |
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19 cdef class Matrix: |
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20 def __init__(Matrix self, data=None): |
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21 self.data = data or [[1, 0, 0, 0], |
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22 [0, 1, 0, 0], |
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23 [0, 0, 1, 0], |
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24 [0, 0, 0, 1]] |
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25 |
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26 |
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27 def __mul__(Matrix self, Matrix other): |
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28 out = Matrix() |
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29 d1 = self.data |
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30 d2 = other.data |
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31 d3 = out.data |
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32 for i in xrange(4): |
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33 for j in xrange(4): |
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34 d3[i][j] = sum(d1[i][k] * d2[k][j] for k in xrange(4)) |
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35 return out |
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36 |
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37 |
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38 def get_c_data(Matrix self): |
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39 data = sum(self.data, []) |
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40 return (c_float * 16)(*data) |
4 | 41 |
42 | |
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43 cpdef flip(Matrix self): |
123 | 44 data = self.data |
45 a, b, c, d = data[0] | |
46 data[0] = [-a, -b, -c, -d] | |
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47 |
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48 |
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49 cpdef scale(Matrix self, x, y, z): |
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50 d1 = self.data |
123 | 51 d1[0] = [a * x for a in d1[0]] |
52 d1[1] = [a * y for a in d1[1]] | |
53 d1[2] = [a * z for a in d1[2]] | |
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54 |
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55 |
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56 cpdef scale2d(Matrix self, x, y): |
123 | 57 data = self.data |
58 d1a, d1b, d1c, d1d = data[0] | |
59 d2a, d2b, d2c, d2d = data[1] | |
60 data[0] = [d1a * x, d1b * x, d1c * x, d1d * x] | |
61 data[1] = [d2a * y, d2b * y, d2c * y, d2d * y] | |
31 | 62 |
63 | |
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64 cpdef translate(Matrix self, x, y, z): |
123 | 65 data = self.data |
66 a, b, c = data[3][:3] | |
67 a, b, c = a * x, b * y, c * z | |
68 d1a, d1b, d1c, d1d = data[0] | |
69 d2a, d2b, d2c, d2d = data[1] | |
70 d3a, d3b, d3c, d3d = data[2] | |
71 data[0] = [d1a + a, d1b + a, d1c + a, d1d + a] | |
72 data[1] = [d2a + b, d2b + b, d2c + b, d2d + b] | |
73 data[2] = [d3a + c, d3b + c, d3c + c, d3d + c] | |
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74 |
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75 |
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76 cpdef rotate_x(Matrix self, angle): |
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77 d1 = self.data |
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78 cos_a = cos(angle) |
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79 sin_a = sin(angle) |
123 | 80 d1[1], d1[2] = ([cos_a * d1[1][i] - sin_a * d1[2][i] for i in range(4)], |
81 [sin_a * d1[1][i] + cos_a * d1[2][i] for i in range(4)]) | |
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82 |
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83 |
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84 cpdef rotate_y(Matrix self, angle): |
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85 d1 = self.data |
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86 cos_a = cos(angle) |
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87 sin_a = sin(angle) |
123 | 88 d1[0], d1[2] = ([cos_a * d1[0][i] + sin_a * d1[2][i] for i in range(4)], |
89 [- sin_a * d1[0][i] + cos_a * d1[2][i] for i in range(4)]) | |
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90 |
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91 |
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92 cpdef rotate_z(Matrix self, angle): |
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93 d1 = self.data |
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94 cos_a = cos(angle) |
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95 sin_a = sin(angle) |
123 | 96 d1[0], d1[1] = ([cos_a * d1[0][i] - sin_a * d1[1][i] for i in range(4)], |
97 [sin_a * d1[0][i] + cos_a * d1[1][i] for i in range(4)]) |