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annotate pytouhou/utils/matrix.pyx @ 370:74471afbac37

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Add a programmable pipeline renderer, and a --fixed-pipeline switch to use the old one.
author Emmanuel Gil Peyrot <linkmauve@linkmauve.fr>
date Fri, 27 Jul 2012 18:43:48 +0200
parents fab7ad2f0d8b
children 2428296cccab
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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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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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27 def __getitem__(Matrix self, key):
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28 return self.data[key]
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31 def __mul__(Matrix self, Matrix other):
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32 out = Matrix()
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33 for i in xrange(4):
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34 for j in xrange(4):
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35 out[i][j] = sum(self[i][k] * other[k][j] for k in xrange(4))
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36 return out
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39 def get_c_data(Matrix self):
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40 data = sum(self.data, [])
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41 return (c_float * 16)(*data)
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44 cpdef flip(Matrix self):
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45 data = self.data
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46 a, b, c, d = data[0]
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47 data[0] = [-a, -b, -c, -d]
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50 cpdef scale(Matrix self, x, y, z):
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51 d1 = self.data
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52 d1[0] = [a * x for a in d1[0]]
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53 d1[1] = [a * y for a in d1[1]]
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54 d1[2] = [a * z for a in d1[2]]
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57 cpdef scale2d(Matrix self, x, y):
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58 data = self.data
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59 d1a, d1b, d1c, d1d = data[0]
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60 d2a, d2b, d2c, d2d = data[1]
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61 data[0] = [d1a * x, d1b * x, d1c * x, d1d * x]
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62 data[1] = [d2a * y, d2b * y, d2c * y, d2d * y]
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65 cpdef translate(Matrix self, x, y, z):
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66 data = self.data
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67 a, b, c = data[3][:3]
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68 a, b, c = a * x, b * y, c * z
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69 d1a, d1b, d1c, d1d = data[0]
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70 d2a, d2b, d2c, d2d = data[1]
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71 d3a, d3b, d3c, d3d = data[2]
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72 data[0] = [d1a + a, d1b + a, d1c + a, d1d + a]
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73 data[1] = [d2a + b, d2b + b, d2c + b, d2d + b]
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74 data[2] = [d3a + c, d3b + c, d3c + c, d3d + c]
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77 cpdef rotate_x(Matrix self, angle):
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78 d1 = self.data
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79 cos_a = cos(angle)
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80 sin_a = sin(angle)
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81 d1[1], d1[2] = ([cos_a * d1[1][i] - sin_a * d1[2][i] for i in range(4)],
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82 [sin_a * d1[1][i] + cos_a * d1[2][i] for i in range(4)])
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85 cpdef rotate_y(Matrix self, angle):
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86 d1 = self.data
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87 cos_a = cos(angle)
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88 sin_a = sin(angle)
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89 d1[0], d1[2] = ([cos_a * d1[0][i] + sin_a * d1[2][i] for i in range(4)],
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90 [- sin_a * d1[0][i] + cos_a * d1[2][i] for i in range(4)])
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93 cpdef rotate_z(Matrix self, angle):
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94 d1 = self.data
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95 cos_a = cos(angle)
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96 sin_a = sin(angle)
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97 d1[0], d1[1] = ([cos_a * d1[0][i] - sin_a * d1[1][i] for i in range(4)],
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98 [sin_a * d1[0][i] + cos_a * d1[1][i] for i in range(4)])
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