Generated by Cython 0.15.1+ on Fri Oct 14 00:10:55 2011
Raw output: xutils.c
1: #!/usr/bin/env python
/* "xutils.pyx":1 * #!/usr/bin/env python #<
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2: # -*- coding: utf8 -*-
3: #
4: # Project: Azimuthal integration
5: # https://forge.epn-campus.eu/projects/azimuthal
6: #
7: # File: "$Id$"
8: #
9: # Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
10: #
11: # Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
12: #
13: # This program is free software: you can redistribute it and/or modify
14: # it under the terms of the GNU General Public License as published by
15: # the Free Software Foundation, either version 3 of the License, or
16: # (at your option) any later version.
17: #
18: # This program is distributed in the hope that it will be useful,
19: # but WITHOUT ANY WARRANTY; without even the implied warranty of
20: # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
21: # GNU General Public License for more details.
22: #
23: # You should have received a copy of the GNU General Public License
24: # along with this program. If not, see <http://www.gnu.org/licenses/>.
25: #
26:
27: import cython
28: cimport numpy
29: import numpy
/* "xutils.pyx":29 * import cython * cimport numpy * import numpy #<
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30:
31: ctypedef numpy.int64_t DTYPE_int64_t
/* "xutils.pyx":31 * import numpy * * ctypedef numpy.int64_t DTYPE_int64_t #<
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* ctypedef numpy.float64_t DTYPE_float64_t * */ typedef __pyx_t_5numpy_int64_t __pyx_t_6xutils_DTYPE_int64_t;
32: ctypedef numpy.float64_t DTYPE_float64_t
33:
34: def boundingBox(data):
/* "xutils.pyx":34 * ctypedef numpy.float64_t DTYPE_float64_t * * def boundingBox(data): #<
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35: """
36: Calculate bounding box around
37:
38: @param img: 2D array like
39: @return: 4-typle (d0_min, d1_min, d0_max, d1_max)
40:
41:
42: NOTA: Does not work :(
43:
44: """
45: cdef numpy.ndarray[long, ndim = 1] shape = numpy.array(data.shape)
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46: cdef long ndims = data.ndim
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47:
48: # cdef numpy.ndarray[float, ndim = ndims] fdata = data.astype(float)
49: cdef numpy.ndarray[long, ndim = 1] mins = numpy.array(shape)
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50: cdef numpy.ndarray[long, ndim = 1] maxs = numpy.zeros(ndims, dtype=int)
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51:
52:
53: cdef long i = 0
/* "xutils.pyx":53 * * * cdef long i = 0 #<
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56: cdef long l = 0
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57: # cdef DTYPE_float64_t x = 0.0
58: # cdef DTYPE_float64_t zero64 = 0.0
59: if ndims == 1:
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60: # with nogil:
61: for i in range(shape[0]):
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65: if i > maxs[0]:
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70: for j in range(shape[1]):
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71: if data[i, j] > 0.0 :
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72: if i < mins[0]:
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<
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74: if i > maxs[0]:
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76: if j < mins[1]:
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78: if j > maxs[1]:
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83: for j in range(shape[1]):
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84: for k in range(shape[2]):
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86: if i < mins[0]:
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<
<
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<
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88: if i > maxs[0]:
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<
<
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<
<
<
<
<
<
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<
* maxs[0] = i * if j<
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89: maxs[0] = i
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<
<
<
<
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<
<
<
<
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* if j<
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90: if j < mins[1]:
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<
<
<
<
<
<
<
<
<
<
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<
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91: mins[1] = i
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92: if j > maxs[1]:
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<
<
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<
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<
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93: maxs[1] = i
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<
<
<
<
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94: if k < mins[2]:
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96: if k > maxs[2]:
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97: maxs[2] = i
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98: elif ndims == 4:
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101: for j in range(shape[1]):
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102: for k in range(shape[2]):
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103: for l in range(shape[3]):
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104: if data[i, j, k, l] > 0.0:
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<
<
<
<
<
<
<
<
<
<
<
<
* if i<
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105: if i < mins[0]:
/* "xutils.pyx":105 * for l in range(shape[3]): * if data[i, j, k, l] > 0.0: * if i<
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<
<
<
<
<
<
<
<
<
<
<
<
* mins[0] = i * if i > maxs[0]: */ __pyx_t_53 = 0; __pyx_t_9 = -1; if (__pyx_t_53<
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106: mins[0] = i
/* "xutils.pyx":106 * if data[i, j, k, l] > 0.0: * if i<
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<
<
<
<
<
<
<
<
<
<
<
<
* if i > maxs[0]: * maxs[0] = i */ __pyx_t_54 = 0; __pyx_t_9 = -1; if (__pyx_t_54<
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107: if i > maxs[0]:
/* "xutils.pyx":107 * if i<
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<
<
<
<
<
<
<
<
<
<
<
<
* maxs[0] = i * if j<
mins[1]: */ __pyx_t_55 = 0; __pyx_t_9 = -1; if (__pyx_t_55<
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108: maxs[0] = i
/* "xutils.pyx":108 * mins[0] = i * if i > maxs[0]: * maxs[0] = i #<
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<
<
<
<
<
<
<
<
<
<
<
<
* if j<
mins[1]: * mins[1] = i */ __pyx_t_56 = 0; __pyx_t_9 = -1; if (__pyx_t_56<
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109: if j < mins[1]:
/* "xutils.pyx":109 * if i > maxs[0]: * maxs[0] = i * if j<
mins[1]: #<
<
<
<
<
<
<
<
<
<
<
<
<
<
* mins[1] = i * if j > maxs[1]: */ __pyx_t_57 = 1; __pyx_t_9 = -1; if (__pyx_t_57<
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110: mins[1] = i
/* "xutils.pyx":110 * maxs[0] = i * if j<
mins[1]: * mins[1] = i #<
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<
<
<
<
<
<
<
<
<
<
<
<
* if j > maxs[1]: * maxs[1] = i */ __pyx_t_58 = 1; __pyx_t_9 = -1; if (__pyx_t_58<
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0)) __pyx_t_9 = 0; } else if (unlikely(__pyx_t_58 >= __pyx_bshape_0_mins)) __pyx_t_9 = 0; if (unlikely(__pyx_t_9 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_9); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 110; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } *__Pyx_BufPtrStrided1d(long *, __pyx_bstruct_mins.buf, __pyx_t_58, __pyx_bstride_0_mins) = __pyx_v_i; goto __pyx_L43; } __pyx_L43:;
111: if j > maxs[1]:
/* "xutils.pyx":111 * if j<
mins[1]: * mins[1] = i * if j > maxs[1]: #<
<
<
<
<
<
<
<
<
<
<
<
<
<
* maxs[1] = i * if k<
mins[2]: */ __pyx_t_59 = 1; __pyx_t_9 = -1; if (__pyx_t_59<
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0)) __pyx_t_9 = 0; } else if (unlikely(__pyx_t_59 >= __pyx_bshape_0_maxs)) __pyx_t_9 = 0; if (unlikely(__pyx_t_9 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_9); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_12 = (__pyx_v_j > (*__Pyx_BufPtrStrided1d(long *, __pyx_bstruct_maxs.buf, __pyx_t_59, __pyx_bstride_0_maxs))); if (__pyx_t_12) {
112: maxs[1] = i
/* "xutils.pyx":112 * mins[1] = i * if j > maxs[1]: * maxs[1] = i #<
<
<
<
<
<
<
<
<
<
<
<
<
<
* if k<
mins[2]: * mins[2] = i */ __pyx_t_60 = 1; __pyx_t_9 = -1; if (__pyx_t_60<
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0)) __pyx_t_9 = 0; } else if (unlikely(__pyx_t_60 >= __pyx_bshape_0_maxs)) __pyx_t_9 = 0; if (unlikely(__pyx_t_9 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_9); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } *__Pyx_BufPtrStrided1d(long *, __pyx_bstruct_maxs.buf, __pyx_t_60, __pyx_bstride_0_maxs) = __pyx_v_i; goto __pyx_L44; } __pyx_L44:;
113: if k < mins[2]:
/* "xutils.pyx":113 * if j > maxs[1]: * maxs[1] = i * if k<
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<
<
<
<
<
<
<
<
<
<
<
<
<
* mins[2] = i * if k > maxs[2]: */ __pyx_t_61 = 2; __pyx_t_9 = -1; if (__pyx_t_61<
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114: mins[2] = i
/* "xutils.pyx":114 * maxs[1] = i * if k<
mins[2]: * mins[2] = i #<
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<
<
<
<
<
<
<
<
<
<
<
<
* if k > maxs[2]: * maxs[2] = i */ __pyx_t_62 = 2; __pyx_t_9 = -1; if (__pyx_t_62<
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115: if k > maxs[2]:
/* "xutils.pyx":115 * if k<
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<
<
<
<
<
<
<
<
<
<
<
<
<
* maxs[2] = i * if l<
mins[3]: */ __pyx_t_63 = 2; __pyx_t_9 = -1; if (__pyx_t_63<
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116: maxs[2] = i
/* "xutils.pyx":116 * mins[2] = i * if k > maxs[2]: * maxs[2] = i #<
<
<
<
<
<
<
<
<
<
<
<
<
<
* if l<
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117: if l < mins[3]:
/* "xutils.pyx":117 * if k > maxs[2]: * maxs[2] = i * if l<
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<
<
<
<
<
<
<
<
<
<
<
<
<
* mins[3] = i * if l > maxs[3]: */ __pyx_t_65 = 3; __pyx_t_9 = -1; if (__pyx_t_65<
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118: mins[3] = i
/* "xutils.pyx":118 * maxs[2] = i * if l<
mins[3]: * mins[3] = i #<
<
<
<
<
<
<
<
<
<
<
<
<
<
* if l > maxs[3]: * maxs[3] = i */ __pyx_t_66 = 3; __pyx_t_9 = -1; if (__pyx_t_66<
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119: if l > maxs[3]:
/* "xutils.pyx":119 * if l<
mins[3]: * mins[3] = i * if l > maxs[3]: #<
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<
<
<
<
<
<
<
<
<
<
<
<
* maxs[3] = i * else: */ __pyx_t_67 = 3; __pyx_t_9 = -1; if (__pyx_t_67<
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120: maxs[3] = i
/* "xutils.pyx":120 * mins[3] = i * if l > maxs[3]: * maxs[3] = i #<
<
<
<
<
<
<
<
<
<
<
<
<
<
* else: * raise RuntimeError("Dimensions > 4 not implemented") */ __pyx_t_68 = 3; __pyx_t_9 = -1; if (__pyx_t_68<
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121: else:
122: raise RuntimeError("Dimensions > 4 not implemented")
/* "xutils.pyx":122 * maxs[3] = i * else: * raise RuntimeError("Dimensions > 4 not implemented") #<
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<
<
<
<
<
<
<
<
<
<
<
<
* return tuple(mins) + tuple(maxs) * */ __pyx_t_2 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_2), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 122; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[0]; __pyx_lineno = 122; __pyx_clineno = __LINE__; goto __pyx_L1_error;} break; } /* "xutils.pyx":122 * maxs[3] = i * else: * raise RuntimeError("Dimensions > 4 not implemented") #<
<
<
<
<
<
<
<
<
<
<
<
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