1 | #include "aubio-types.h" |
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2 | |
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3 | PyObject * |
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4 | new_py_fvec(uint_t length) { |
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5 | npy_intp dims[] = { length, 1 }; |
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6 | return PyArray_ZEROS(1, dims, AUBIO_NPY_SMPL, 0); |
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7 | } |
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8 | |
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9 | PyObject * |
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10 | new_py_fmat(uint_t height, uint_t length) { |
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11 | npy_intp dims[] = { height, length, 1 }; |
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12 | return PyArray_ZEROS(2, dims, AUBIO_NPY_SMPL, 0); |
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13 | } |
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14 | |
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15 | PyObject * |
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16 | PyAubio_CFvecToArray (fvec_t * self) |
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17 | { |
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18 | npy_intp dims[] = { self->length, 1 }; |
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19 | return PyArray_SimpleNewFromData (1, dims, AUBIO_NPY_SMPL, self->data); |
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20 | } |
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21 | |
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22 | int |
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23 | PyAubio_ArrayToCFvec (PyObject *input, fvec_t *out) { |
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24 | if (input == NULL) { |
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25 | PyErr_SetString (PyExc_ValueError, "input array is not a python object"); |
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26 | return 0; |
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27 | } |
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28 | // parsing input object into a Py_fvec |
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29 | if (PyArray_Check(input)) { |
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30 | |
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31 | // we got an array, convert it to an fvec |
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32 | if (PyArray_NDIM ((PyArrayObject *)input) == 0) { |
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33 | PyErr_SetString (PyExc_ValueError, "input array is a scalar"); |
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34 | return 0; |
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35 | } else if (PyArray_NDIM ((PyArrayObject *)input) > 1) { |
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36 | PyErr_SetString (PyExc_ValueError, |
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37 | "input array has more than one dimensions"); |
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38 | return 0; |
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39 | } |
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40 | |
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41 | if (!PyArray_ISFLOAT ((PyArrayObject *)input)) { |
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42 | PyErr_SetString (PyExc_ValueError, "input array should be float"); |
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43 | return 0; |
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44 | } else if (PyArray_TYPE ((PyArrayObject *)input) != AUBIO_NPY_SMPL) { |
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45 | PyErr_SetString (PyExc_ValueError, "input array should be " AUBIO_NPY_SMPL_STR); |
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46 | return 0; |
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47 | } |
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48 | |
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49 | // vec = new_fvec (vec->length); |
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50 | // no need to really allocate fvec, just its struct member |
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51 | long length = PyArray_SIZE ((PyArrayObject *)input); |
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52 | if (length <= 0) { |
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53 | PyErr_SetString (PyExc_ValueError, "input array size should be greater than 0"); |
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54 | return 0; |
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55 | } |
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56 | |
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57 | } else if (PyObject_TypeCheck (input, &PyList_Type)) { |
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58 | PyErr_SetString (PyExc_ValueError, "does not convert from list yet"); |
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59 | return 0; |
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60 | } else { |
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61 | PyErr_SetString (PyExc_ValueError, "can only accept vector of float as input"); |
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62 | return 0; |
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63 | } |
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64 | |
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65 | out->length = (uint_t) PyArray_SIZE ((PyArrayObject *)input); |
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66 | out->data = (smpl_t *) PyArray_GETPTR1 ((PyArrayObject *)input, 0); |
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67 | return 1; |
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68 | } |
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69 | |
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70 | PyObject * |
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71 | PyAubio_CFmatToArray (fmat_t * input) |
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72 | { |
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73 | PyObject *array = NULL; |
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74 | uint_t i; |
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75 | npy_intp dims[] = { input->length, 1 }; |
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76 | PyObject *concat = PyList_New (0), *tmp = NULL; |
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77 | for (i = 0; i < input->height; i++) { |
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78 | tmp = PyArray_SimpleNewFromData (1, dims, AUBIO_NPY_SMPL, input->data[i]); |
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79 | PyList_Append (concat, tmp); |
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80 | Py_DECREF (tmp); |
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81 | } |
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82 | array = PyArray_FromObject (concat, AUBIO_NPY_SMPL, 2, 2); |
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83 | Py_DECREF (concat); |
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84 | return array; |
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85 | } |
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86 | |
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87 | int |
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88 | PyAubio_ArrayToCFmat (PyObject *input, fmat_t *mat) { |
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89 | uint_t i; |
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90 | if (input == NULL) { |
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91 | PyErr_SetString (PyExc_ValueError, "input array is not a python object"); |
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92 | return 0; |
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93 | } |
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94 | // parsing input object into a Py_fvec |
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95 | if (PyArray_Check(input)) { |
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96 | |
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97 | // we got an array, convert it to an fvec |
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98 | if (PyArray_NDIM ((PyArrayObject *)input) == 0) { |
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99 | PyErr_SetString (PyExc_ValueError, "input array is a scalar"); |
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100 | return 0; |
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101 | } else if (PyArray_NDIM ((PyArrayObject *)input) > 2) { |
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102 | PyErr_SetString (PyExc_ValueError, |
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103 | "input array has more than two dimensions"); |
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104 | return 0; |
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105 | } |
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106 | |
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107 | if (!PyArray_ISFLOAT ((PyArrayObject *)input)) { |
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108 | PyErr_SetString (PyExc_ValueError, "input array should be float"); |
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109 | return 0; |
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110 | } else if (PyArray_TYPE ((PyArrayObject *)input) != AUBIO_NPY_SMPL) { |
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111 | PyErr_SetString (PyExc_ValueError, "input array should be " AUBIO_NPY_SMPL_STR); |
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112 | return 0; |
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113 | } |
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114 | |
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115 | // no need to really allocate fvec, just its struct member |
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116 | long length = PyArray_DIM ((PyArrayObject *)input, 1); |
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117 | if (length <= 0) { |
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118 | PyErr_SetString (PyExc_ValueError, "input array dimension 1 should be greater than 0"); |
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119 | return 0; |
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120 | } |
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121 | long height = PyArray_DIM ((PyArrayObject *)input, 0); |
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122 | if (height <= 0) { |
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123 | PyErr_SetString (PyExc_ValueError, "input array dimension 0 should be greater than 0"); |
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124 | return 0; |
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125 | } |
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126 | |
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127 | } else if (PyObject_TypeCheck (input, &PyList_Type)) { |
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128 | PyErr_SetString (PyExc_ValueError, "can not convert list to fmat"); |
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129 | return 0; |
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130 | } else { |
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131 | PyErr_SetString (PyExc_ValueError, "can only accept matrix of float as input"); |
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132 | return 0; |
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133 | } |
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134 | |
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135 | uint_t new_height = (uint_t)PyArray_DIM ((PyArrayObject *)input, 0); |
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136 | if (mat->height != new_height) { |
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137 | if (mat->data) { |
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138 | free(mat->data); |
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139 | } |
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140 | mat->data = (smpl_t **)malloc(sizeof(smpl_t*) * new_height); |
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141 | } |
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142 | |
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143 | mat->height = new_height; |
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144 | mat->length = (uint_t)PyArray_DIM ((PyArrayObject *)input, 1); |
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145 | for (i=0; i< mat->height; i++) { |
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146 | mat->data[i] = (smpl_t*)PyArray_GETPTR1 ((PyArrayObject *)input, i); |
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147 | } |
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148 | return 1; |
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149 | } |
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