1 | #include "aubio-types.h" |
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2 | |
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3 | PyObject * |
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4 | PyAubio_CFvecToArray (fvec_t * self) |
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5 | { |
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6 | npy_intp dims[] = { self->length, 1 }; |
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7 | return PyArray_SimpleNewFromData (1, dims, AUBIO_NPY_SMPL, self->data); |
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8 | } |
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9 | |
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10 | int |
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11 | PyAubio_ArrayToCFvec (PyObject *input, fvec_t *out) { |
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12 | if (input == NULL) { |
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13 | PyErr_SetString (PyExc_ValueError, "input array is not a python object"); |
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14 | return 0; |
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15 | } |
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16 | // parsing input object into a Py_fvec |
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17 | if (PyArray_Check(input)) { |
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18 | |
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19 | // we got an array, convert it to an fvec |
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20 | if (PyArray_NDIM ((PyArrayObject *)input) == 0) { |
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21 | PyErr_SetString (PyExc_ValueError, "input array is a scalar"); |
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22 | return 0; |
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23 | } else if (PyArray_NDIM ((PyArrayObject *)input) > 1) { |
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24 | PyErr_SetString (PyExc_ValueError, |
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25 | "input array has more than one dimensions"); |
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26 | return 0; |
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27 | } |
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28 | |
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29 | if (!PyArray_ISFLOAT ((PyArrayObject *)input)) { |
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30 | PyErr_SetString (PyExc_ValueError, "input array should be float"); |
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31 | return 0; |
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32 | } else if (PyArray_TYPE ((PyArrayObject *)input) != AUBIO_NPY_SMPL) { |
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33 | PyErr_SetString (PyExc_ValueError, "input array should be float32"); |
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34 | return 0; |
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35 | } |
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36 | |
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37 | // vec = new_fvec (vec->length); |
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38 | // no need to really allocate fvec, just its struct member |
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39 | long length = PyArray_SIZE ((PyArrayObject *)input); |
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40 | if (length <= 0) { |
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41 | PyErr_SetString (PyExc_ValueError, "input array size should be greater than 0"); |
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42 | return 0; |
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43 | } |
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44 | |
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45 | } else if (PyObject_TypeCheck (input, &PyList_Type)) { |
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46 | PyErr_SetString (PyExc_ValueError, "does not convert from list yet"); |
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47 | return 0; |
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48 | } else { |
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49 | PyErr_SetString (PyExc_ValueError, "can only accept vector of float as input"); |
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50 | return 0; |
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51 | } |
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52 | |
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53 | out->length = (uint_t) PyArray_SIZE ((PyArrayObject *)input); |
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54 | out->data = (smpl_t *) PyArray_GETPTR1 ((PyArrayObject *)input, 0); |
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55 | return 1; |
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56 | } |
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57 | |
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58 | PyObject * |
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59 | PyAubio_CCvecToPyCvec (cvec_t * input, Py_cvec *vec) { |
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60 | vec->length = input->length; |
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61 | vec->o = input; |
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62 | // keep a reference to re-use after returning it |
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63 | Py_INCREF(vec); |
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64 | return (PyObject *)vec; |
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65 | } |
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66 | |
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67 | int |
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68 | PyAubio_ArrayToCCvec (PyObject *input, cvec_t *i) { |
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69 | if (PyObject_TypeCheck (input, &Py_cvecType)) { |
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70 | //*i = *(((Py_cvec*)input)->o); |
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71 | i->norm = ((Py_cvec*)input)->o->norm; |
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72 | i->phas = ((Py_cvec*)input)->o->phas; |
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73 | i->length = ((Py_cvec*)input)->o->length; |
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74 | return 1; |
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75 | } else { |
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76 | PyErr_SetString (PyExc_ValueError, "input array should be float32"); |
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77 | return 0; |
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78 | } |
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79 | } |
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80 | |
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81 | PyObject * |
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82 | PyAubio_CFmatToArray (fmat_t * input) |
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83 | { |
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84 | PyObject *array = NULL; |
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85 | uint_t i; |
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86 | npy_intp dims[] = { input->length, 1 }; |
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87 | PyObject *concat = PyList_New (0), *tmp = NULL; |
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88 | for (i = 0; i < input->height; i++) { |
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89 | tmp = PyArray_SimpleNewFromData (1, dims, AUBIO_NPY_SMPL, input->data[i]); |
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90 | PyList_Append (concat, tmp); |
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91 | Py_DECREF (tmp); |
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92 | } |
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93 | array = PyArray_FromObject (concat, AUBIO_NPY_SMPL, 2, 2); |
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94 | Py_DECREF (concat); |
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95 | return array; |
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96 | } |
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97 | |
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98 | int |
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99 | PyAubio_ArrayToCFmat (PyObject *input, fmat_t *mat) { |
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100 | uint_t i; |
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101 | if (input == NULL) { |
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102 | PyErr_SetString (PyExc_ValueError, "input array is not a python object"); |
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103 | return 0; |
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104 | } |
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105 | // parsing input object into a Py_fvec |
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106 | if (PyArray_Check(input)) { |
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107 | |
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108 | // we got an array, convert it to an fvec |
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109 | if (PyArray_NDIM ((PyArrayObject *)input) == 0) { |
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110 | PyErr_SetString (PyExc_ValueError, "input array is a scalar"); |
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111 | return 0; |
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112 | } else if (PyArray_NDIM ((PyArrayObject *)input) > 2) { |
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113 | PyErr_SetString (PyExc_ValueError, |
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114 | "input array has more than two dimensions"); |
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115 | return 0; |
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116 | } |
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117 | |
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118 | if (!PyArray_ISFLOAT ((PyArrayObject *)input)) { |
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119 | PyErr_SetString (PyExc_ValueError, "input array should be float"); |
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120 | return 0; |
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121 | } else if (PyArray_TYPE ((PyArrayObject *)input) != AUBIO_NPY_SMPL) { |
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122 | PyErr_SetString (PyExc_ValueError, "input array should be float32"); |
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123 | return 0; |
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124 | } |
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125 | |
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126 | // no need to really allocate fvec, just its struct member |
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127 | long length = PyArray_DIM ((PyArrayObject *)input, 1); |
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128 | if (length <= 0) { |
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129 | PyErr_SetString (PyExc_ValueError, "input array dimension 1 should be greater than 0"); |
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130 | return 0; |
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131 | } |
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132 | long height = PyArray_DIM ((PyArrayObject *)input, 0); |
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133 | if (height <= 0) { |
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134 | PyErr_SetString (PyExc_ValueError, "input array dimension 0 should be greater than 0"); |
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135 | return 0; |
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136 | } |
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137 | |
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138 | } else if (PyObject_TypeCheck (input, &PyList_Type)) { |
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139 | PyErr_SetString (PyExc_ValueError, "can not convert list to fmat"); |
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140 | return 0; |
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141 | } else { |
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142 | PyErr_SetString (PyExc_ValueError, "can only accept matrix of float as input"); |
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143 | return 0; |
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144 | } |
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145 | |
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146 | if (mat->height != (uint_t)PyArray_DIM ((PyArrayObject *)input, 0)) { |
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147 | /* |
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148 | free(mat->data); |
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149 | mat->height = (uint_t)PyArray_DIM ((PyArrayObject *)input, 0); |
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150 | mat->data = (smpl_t **)malloc(sizeof(smpl_t*) * mat->height); |
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151 | */ |
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152 | PyErr_Format(PyExc_ValueError, "too many rows, %d but %ld expected", |
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153 | mat->height, PyArray_DIM ((PyArrayObject *)input, 0) ); |
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154 | return 0; |
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155 | } |
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156 | |
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157 | mat->length = (uint_t)PyArray_DIM ((PyArrayObject *)input, 1); |
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158 | for (i=0; i< mat->height; i++) { |
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159 | mat->data[i] = (smpl_t*)PyArray_GETPTR1 ((PyArrayObject *)input, i); |
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160 | } |
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161 | return 1; |
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162 | } |
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