1 | |
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2 | #include <Python.h> |
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3 | #include "structmember.h" |
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4 | #include <stdio.h> |
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5 | #include <stdlib.h> |
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6 | #include <math.h> |
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7 | #include <time.h> |
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8 | |
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9 | #include "invertor.h" |
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10 | |
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11 | |
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12 | /// Error object for raised exceptions |
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13 | static PyObject * CinvertorError = NULL; |
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14 | |
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15 | #define INVECTOR(obj,buf,len) \ |
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16 | do { \ |
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17 | int err = PyObject_AsReadBuffer(obj, (const void **)(&buf), &len); \ |
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18 | if (err < 0) return NULL; \ |
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19 | len /= sizeof(*buf); \ |
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20 | } while (0) |
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21 | |
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22 | #define OUTVECTOR(obj,buf,len) \ |
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23 | do { \ |
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24 | int err = PyObject_AsWriteBuffer(obj, (void **)(&buf), &len); \ |
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25 | if (err < 0) return NULL; \ |
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26 | len /= sizeof(*buf); \ |
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27 | } while (0) |
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28 | |
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29 | |
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30 | // Class definition |
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31 | typedef struct { |
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32 | PyObject_HEAD |
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33 | Invertor_params params; |
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34 | } Cinvertor; |
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35 | |
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36 | |
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37 | static void |
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38 | Cinvertor_dealloc(Cinvertor* self) |
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39 | { |
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40 | invertor_dealloc(&(self->params)); |
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41 | |
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42 | self->ob_type->tp_free((PyObject*)self); |
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43 | |
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44 | } |
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45 | |
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46 | static PyObject * |
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47 | Cinvertor_new(PyTypeObject *type, PyObject *args, PyObject *kwds) |
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48 | { |
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49 | Cinvertor *self; |
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50 | |
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51 | self = (Cinvertor *)type->tp_alloc(type, 0); |
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52 | |
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53 | return (PyObject *)self; |
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54 | } |
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55 | |
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56 | static int |
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57 | Cinvertor_init(Cinvertor *self, PyObject *args, PyObject *kwds) |
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58 | { |
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59 | if (self != NULL) { |
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60 | // Create parameters |
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61 | invertor_init(&(self->params)); |
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62 | } |
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63 | return 0; |
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64 | } |
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65 | |
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66 | static PyMemberDef Cinvertor_members[] = { |
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67 | //{"params", T_OBJECT, offsetof(Cinvertor, params), 0, |
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68 | // "Parameters"}, |
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69 | {NULL} /* Sentinel */ |
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70 | }; |
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71 | |
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72 | |
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73 | /** |
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74 | * Function to set the x data |
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75 | * Takes an array of doubles as input |
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76 | * Returns the number of entries found |
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77 | */ |
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78 | static PyObject * set_x(Cinvertor *self, PyObject *args) { |
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79 | PyObject *data_obj; |
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80 | Py_ssize_t ndata; |
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81 | double *data; |
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82 | int i; |
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83 | |
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84 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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85 | OUTVECTOR(data_obj,data,ndata); |
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86 | |
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87 | free(self->params.x); |
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88 | self->params.x = (double*) malloc(ndata*sizeof(double)); |
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89 | |
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90 | if(self->params.x==NULL) { |
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91 | PyErr_SetString(CinvertorError, |
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92 | "Cinvertor.set_x: problem allocating memory."); |
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93 | return NULL; |
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94 | } |
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95 | |
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96 | for (i=0; i<ndata; i++) { |
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97 | self->params.x[i] = data[i]; |
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98 | } |
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99 | |
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100 | //self->params.x = data; |
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101 | self->params.npoints = ndata; |
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102 | return Py_BuildValue("i", self->params.npoints); |
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103 | } |
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104 | |
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105 | static PyObject * get_x(Cinvertor *self, PyObject *args) { |
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106 | PyObject *data_obj; |
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107 | Py_ssize_t ndata; |
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108 | double *data; |
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109 | int i; |
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110 | |
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111 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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112 | OUTVECTOR(data_obj, data, ndata); |
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113 | |
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114 | // Check that the input array is large enough |
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115 | if (ndata < self->params.npoints) { |
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116 | PyErr_SetString(CinvertorError, |
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117 | "Cinvertor.get_x: input array too short for data."); |
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118 | return NULL; |
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119 | } |
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120 | |
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121 | for(i=0; i<self->params.npoints; i++){ |
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122 | data[i] = self->params.x[i]; |
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123 | } |
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124 | |
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125 | return Py_BuildValue("i", self->params.npoints); |
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126 | } |
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127 | |
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128 | /** |
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129 | * Function to set the y data |
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130 | * Takes an array of doubles as input |
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131 | * Returns the number of entries found |
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132 | */ |
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133 | static PyObject * set_y(Cinvertor *self, PyObject *args) { |
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134 | PyObject *data_obj; |
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135 | Py_ssize_t ndata; |
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136 | double *data; |
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137 | int i; |
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138 | |
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139 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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140 | OUTVECTOR(data_obj,data,ndata); |
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141 | |
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142 | free(self->params.y); |
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143 | self->params.y = (double*) malloc(ndata*sizeof(double)); |
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144 | |
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145 | if(self->params.y==NULL) { |
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146 | PyErr_SetString(CinvertorError, |
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147 | "Cinvertor.set_y: problem allocating memory."); |
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148 | return NULL; |
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149 | } |
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150 | |
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151 | for (i=0; i<ndata; i++) { |
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152 | self->params.y[i] = data[i]; |
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153 | } |
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154 | |
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155 | //self->params.y = data; |
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156 | self->params.ny = ndata; |
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157 | return Py_BuildValue("i", self->params.ny); |
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158 | } |
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159 | |
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160 | static PyObject * get_y(Cinvertor *self, PyObject *args) { |
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161 | PyObject *data_obj; |
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162 | Py_ssize_t ndata; |
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163 | double *data; |
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164 | int i; |
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165 | |
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166 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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167 | OUTVECTOR(data_obj, data, ndata); |
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168 | |
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169 | // Check that the input array is large enough |
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170 | if (ndata < self->params.ny) { |
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171 | PyErr_SetString(CinvertorError, |
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172 | "Cinvertor.get_y: input array too short for data."); |
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173 | return NULL; |
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174 | } |
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175 | |
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176 | for(i=0; i<self->params.ny; i++){ |
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177 | data[i] = self->params.y[i]; |
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178 | } |
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179 | |
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180 | return Py_BuildValue("i", self->params.npoints); |
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181 | } |
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182 | |
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183 | /** |
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184 | * Function to set the x data |
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185 | * Takes an array of doubles as input |
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186 | * Returns the number of entries found |
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187 | */ |
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188 | static PyObject * set_err(Cinvertor *self, PyObject *args) { |
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189 | PyObject *data_obj; |
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190 | Py_ssize_t ndata; |
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191 | double *data; |
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192 | int i; |
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193 | |
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194 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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195 | OUTVECTOR(data_obj,data,ndata); |
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196 | |
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197 | free(self->params.err); |
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198 | self->params.err = (double*) malloc(ndata*sizeof(double)); |
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199 | |
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200 | if(self->params.err==NULL) { |
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201 | PyErr_SetString(CinvertorError, |
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202 | "Cinvertor.set_err: problem allocating memory."); |
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203 | return NULL; |
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204 | } |
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205 | |
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206 | for (i=0; i<ndata; i++) { |
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207 | self->params.err[i] = data[i]; |
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208 | } |
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209 | |
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210 | //self->params.err = data; |
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211 | self->params.nerr = ndata; |
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212 | return Py_BuildValue("i", self->params.nerr); |
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213 | } |
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214 | |
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215 | static PyObject * get_err(Cinvertor *self, PyObject *args) { |
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216 | PyObject *data_obj; |
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217 | Py_ssize_t ndata; |
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218 | double *data; |
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219 | int i; |
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220 | |
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221 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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222 | OUTVECTOR(data_obj, data, ndata); |
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223 | |
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224 | // Check that the input array is large enough |
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225 | if (ndata < self->params.nerr) { |
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226 | PyErr_SetString(CinvertorError, |
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227 | "Cinvertor.get_err: input array too short for data."); |
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228 | return NULL; |
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229 | } |
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230 | |
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231 | for(i=0; i<self->params.nerr; i++){ |
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232 | data[i] = self->params.err[i]; |
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233 | } |
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234 | |
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235 | return Py_BuildValue("i", self->params.npoints); |
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236 | } |
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237 | |
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238 | /** |
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239 | * Check the validity of the stored data |
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240 | * Returns the number of points if it's all good, -1 otherwise |
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241 | */ |
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242 | static PyObject * is_valid(Cinvertor *self, PyObject *args) { |
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243 | if(self->params.npoints==self->params.ny && |
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244 | self->params.npoints==self->params.nerr) { |
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245 | return Py_BuildValue("i", self->params.npoints); |
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246 | } else { |
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247 | return Py_BuildValue("i", -1); |
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248 | } |
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249 | } |
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250 | |
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251 | /** |
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252 | * Sets the maximum distance |
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253 | */ |
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254 | static PyObject * set_dmax(Cinvertor *self, PyObject *args) { |
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255 | double d_max; |
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256 | |
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257 | if (!PyArg_ParseTuple(args, "d", &d_max)) return NULL; |
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258 | self->params.d_max = d_max; |
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259 | return Py_BuildValue("d", self->params.d_max); |
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260 | } |
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261 | |
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262 | /** |
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263 | * Gets the maximum distance |
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264 | */ |
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265 | static PyObject * get_dmax(Cinvertor *self, PyObject *args) { |
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266 | return Py_BuildValue("d", self->params.d_max); |
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267 | } |
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268 | |
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269 | static PyObject * set_alpha(Cinvertor *self, PyObject *args) { |
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270 | double alpha; |
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271 | |
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272 | if (!PyArg_ParseTuple(args, "d", &alpha)) return NULL; |
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273 | self->params.alpha = alpha; |
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274 | return Py_BuildValue("d", self->params.alpha); |
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275 | } |
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276 | |
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277 | /** |
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278 | * Gets the maximum distance |
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279 | */ |
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280 | static PyObject * get_alpha(Cinvertor *self, PyObject *args) { |
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281 | return Py_BuildValue("d", self->params.alpha); |
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282 | } |
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283 | |
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284 | /** |
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285 | * Gets the number of x points |
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286 | */ |
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287 | static PyObject * get_nx(Cinvertor *self, PyObject *args) { |
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288 | return Py_BuildValue("i", self->params.npoints); |
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289 | } |
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290 | |
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291 | /** |
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292 | * Gets the number of y points |
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293 | */ |
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294 | static PyObject * get_ny(Cinvertor *self, PyObject *args) { |
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295 | return Py_BuildValue("i", self->params.ny); |
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296 | } |
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297 | |
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298 | /** |
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299 | * Gets the number of error points |
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300 | */ |
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301 | static PyObject * get_nerr(Cinvertor *self, PyObject *args) { |
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302 | return Py_BuildValue("i", self->params.nerr); |
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303 | } |
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304 | |
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305 | |
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306 | /** |
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307 | * Function to call to evaluate the residuals |
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308 | * @param args: input parameters |
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309 | * @return: list of residuals |
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310 | */ |
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311 | static PyObject * residuals(Cinvertor *self, PyObject *args) { |
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312 | double *pars; |
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313 | PyObject* residuals; |
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314 | PyObject* temp; |
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315 | double *res; |
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316 | int i; |
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317 | double residual, diff; |
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318 | // Regularization factor |
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319 | double regterm = 0.0; |
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320 | double tmp = 0.0; |
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321 | |
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322 | PyObject *data_obj; |
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323 | Py_ssize_t npars; |
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324 | |
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325 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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326 | |
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327 | OUTVECTOR(data_obj,pars,npars); |
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328 | |
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329 | // PyList of residuals |
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330 | // Should create this list only once and refill it |
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331 | residuals = PyList_New(self->params.npoints); |
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332 | |
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333 | regterm = reg_term(pars, self->params.d_max, npars); |
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334 | |
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335 | for(i=0; i<self->params.npoints; i++) { |
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336 | diff = self->params.y[i] - iq(pars, self->params.d_max, npars, self->params.x[i]); |
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337 | residual = diff*diff / (self->params.err[i]*self->params.err[i]); |
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338 | tmp = residual; |
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339 | |
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340 | // regularization term |
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341 | residual += self->params.alpha * regterm; |
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342 | |
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343 | if (PyList_SetItem(residuals, i, Py_BuildValue("d",residual) ) < 0){ |
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344 | PyErr_SetString(CinvertorError, |
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345 | "Cinvertor.residuals: error setting residual."); |
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346 | return NULL; |
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347 | }; |
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348 | |
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349 | } |
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350 | |
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351 | return residuals; |
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352 | } |
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353 | /** |
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354 | * Function to call to evaluate the residuals |
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355 | * for P(r) minimization (for testing purposes) |
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356 | * @param args: input parameters |
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357 | * @return: list of residuals |
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358 | */ |
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359 | static PyObject * pr_residuals(Cinvertor *self, PyObject *args) { |
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360 | double *pars; |
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361 | PyObject* residuals; |
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362 | PyObject* temp; |
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363 | double *res; |
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364 | int i; |
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365 | double residual, diff; |
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366 | // Regularization factor |
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367 | double regterm = 0.0; |
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368 | double tmp = 0.0; |
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369 | |
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370 | PyObject *data_obj; |
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371 | Py_ssize_t npars; |
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372 | |
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373 | if (!PyArg_ParseTuple(args, "O", &data_obj)) return NULL; |
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374 | |
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375 | OUTVECTOR(data_obj,pars,npars); |
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376 | |
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377 | // Should create this list only once and refill it |
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378 | residuals = PyList_New(self->params.npoints); |
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379 | |
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380 | regterm = reg_term(pars, self->params.d_max, npars); |
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381 | |
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382 | |
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383 | for(i=0; i<self->params.npoints; i++) { |
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384 | diff = self->params.y[i] - pr(pars, self->params.d_max, npars, self->params.x[i]); |
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385 | residual = diff*diff / (self->params.err[i]*self->params.err[i]); |
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386 | tmp = residual; |
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387 | |
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388 | // regularization term |
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389 | residual += self->params.alpha * regterm; |
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390 | |
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391 | if (PyList_SetItem(residuals, i, Py_BuildValue("d",residual) ) < 0){ |
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392 | PyErr_SetString(CinvertorError, |
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393 | "Cinvertor.residuals: error setting residual."); |
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394 | return NULL; |
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395 | }; |
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396 | |
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397 | } |
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398 | |
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399 | return residuals; |
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400 | } |
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401 | |
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402 | /** |
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403 | * Function to call to evaluate the scattering intensity |
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404 | * @param args: c-parameters, and q |
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405 | * @return: I(q) |
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406 | */ |
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407 | static PyObject * get_iq(Cinvertor *self, PyObject *args) { |
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408 | double *pars; |
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409 | double q, iq_value; |
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410 | PyObject *data_obj; |
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411 | Py_ssize_t npars; |
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412 | |
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413 | if (!PyArg_ParseTuple(args, "Od", &data_obj, &q)) return NULL; |
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414 | OUTVECTOR(data_obj,pars,npars); |
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415 | |
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416 | iq_value = iq(pars, self->params.d_max, npars, q); |
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417 | return Py_BuildValue("f", iq_value); |
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418 | } |
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419 | |
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420 | /** |
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421 | * Function to call to evaluate P(r) |
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422 | * @param args: c-parameters and r |
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423 | * @return: P(r) |
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424 | */ |
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425 | static PyObject * get_pr(Cinvertor *self, PyObject *args) { |
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426 | double *pars; |
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427 | double r, pr_value; |
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428 | PyObject *data_obj; |
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429 | Py_ssize_t npars; |
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430 | |
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431 | if (!PyArg_ParseTuple(args, "Od", &data_obj, &r)) return NULL; |
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432 | OUTVECTOR(data_obj,pars,npars); |
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433 | |
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434 | pr_value = pr(pars, self->params.d_max, npars, r); |
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435 | return Py_BuildValue("f", pr_value); |
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436 | } |
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437 | |
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438 | /** |
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439 | * Function to call to evaluate P(r) with errors |
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440 | * @param args: c-parameters and r |
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441 | * @return: P(r) |
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442 | */ |
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443 | static PyObject * get_pr_err(Cinvertor *self, PyObject *args) { |
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444 | double *pars; |
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445 | double *pars_err; |
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446 | double pr_err_value; |
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447 | double r, pr_value; |
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448 | PyObject *data_obj; |
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449 | Py_ssize_t npars; |
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450 | PyObject *err_obj; |
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451 | Py_ssize_t npars2; |
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452 | |
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453 | if (!PyArg_ParseTuple(args, "OOd", &data_obj, &err_obj, &r)) return NULL; |
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454 | OUTVECTOR(data_obj,pars,npars); |
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455 | OUTVECTOR(err_obj,pars_err,npars2); |
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456 | |
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457 | pr_err(pars, pars_err, self->params.d_max, npars, r, &pr_value, &pr_err_value); |
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458 | return Py_BuildValue("ff", pr_value, pr_err_value); |
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459 | } |
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460 | |
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461 | static PyObject * basefunc_ft(Cinvertor *self, PyObject *args) { |
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462 | double d_max, q; |
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463 | int n; |
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464 | |
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465 | if (!PyArg_ParseTuple(args, "did", &d_max, &n, &q)) return NULL; |
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466 | return Py_BuildValue("f", ortho_transformed(d_max, n, q)); |
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467 | |
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468 | } |
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469 | |
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470 | static PyMethodDef Cinvertor_methods[] = { |
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471 | {"residuals", (PyCFunction)residuals, METH_VARARGS, "Get the list of residuals"}, |
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472 | {"pr_residuals", (PyCFunction)pr_residuals, METH_VARARGS, "Get the list of residuals"}, |
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473 | {"set_x", (PyCFunction)set_x, METH_VARARGS, ""}, |
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474 | {"get_x", (PyCFunction)get_x, METH_VARARGS, ""}, |
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475 | {"set_y", (PyCFunction)set_y, METH_VARARGS, ""}, |
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476 | {"get_y", (PyCFunction)get_y, METH_VARARGS, ""}, |
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477 | {"set_err", (PyCFunction)set_err, METH_VARARGS, ""}, |
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478 | {"get_err", (PyCFunction)get_err, METH_VARARGS, ""}, |
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479 | {"set_dmax", (PyCFunction)set_dmax, METH_VARARGS, ""}, |
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480 | {"get_dmax", (PyCFunction)get_dmax, METH_VARARGS, ""}, |
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481 | {"set_alpha", (PyCFunction)set_alpha, METH_VARARGS, ""}, |
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482 | {"get_alpha", (PyCFunction)get_alpha, METH_VARARGS, ""}, |
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483 | {"get_nx", (PyCFunction)get_nx, METH_VARARGS, ""}, |
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484 | {"get_ny", (PyCFunction)get_ny, METH_VARARGS, ""}, |
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485 | {"get_nerr", (PyCFunction)get_nerr, METH_VARARGS, ""}, |
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486 | {"iq", (PyCFunction)get_iq, METH_VARARGS, ""}, |
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487 | {"pr", (PyCFunction)get_pr, METH_VARARGS, ""}, |
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488 | {"get_pr_err", (PyCFunction)get_pr_err, METH_VARARGS, ""}, |
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489 | {"is_valid", (PyCFunction)is_valid, METH_VARARGS, ""}, |
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490 | {"basefunc_ft", (PyCFunction)basefunc_ft, METH_VARARGS, ""}, |
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491 | |
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492 | {NULL} |
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493 | }; |
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494 | |
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495 | static PyTypeObject CinvertorType = { |
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496 | PyObject_HEAD_INIT(NULL) |
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497 | 0, /*ob_size*/ |
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498 | "Cinvertor", /*tp_name*/ |
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499 | sizeof(Cinvertor), /*tp_basicsize*/ |
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500 | 0, /*tp_itemsize*/ |
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501 | (destructor)Cinvertor_dealloc, /*tp_dealloc*/ |
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502 | 0, /*tp_print*/ |
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503 | 0, /*tp_getattr*/ |
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504 | 0, /*tp_setattr*/ |
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505 | 0, /*tp_compare*/ |
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506 | 0, /*tp_repr*/ |
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507 | 0, /*tp_as_number*/ |
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508 | 0, /*tp_as_sequence*/ |
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509 | 0, /*tp_as_mapping*/ |
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510 | 0, /*tp_hash */ |
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511 | 0, /*tp_call*/ |
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512 | 0, /*tp_str*/ |
---|
513 | 0, /*tp_getattro*/ |
---|
514 | 0, /*tp_setattro*/ |
---|
515 | 0, /*tp_as_buffer*/ |
---|
516 | Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/ |
---|
517 | "Cinvertor objects", /* tp_doc */ |
---|
518 | 0, /* tp_traverse */ |
---|
519 | 0, /* tp_clear */ |
---|
520 | 0, /* tp_richcompare */ |
---|
521 | 0, /* tp_weaklistoffset */ |
---|
522 | 0, /* tp_iter */ |
---|
523 | 0, /* tp_iternext */ |
---|
524 | Cinvertor_methods, /* tp_methods */ |
---|
525 | Cinvertor_members, /* tp_members */ |
---|
526 | 0, /* tp_getset */ |
---|
527 | 0, /* tp_base */ |
---|
528 | 0, /* tp_dict */ |
---|
529 | 0, /* tp_descr_get */ |
---|
530 | 0, /* tp_descr_set */ |
---|
531 | 0, /* tp_dictoffset */ |
---|
532 | (initproc)Cinvertor_init, /* tp_init */ |
---|
533 | 0, /* tp_alloc */ |
---|
534 | Cinvertor_new, /* tp_new */ |
---|
535 | }; |
---|
536 | |
---|
537 | |
---|
538 | static PyMethodDef module_methods[] = { |
---|
539 | {NULL} |
---|
540 | }; |
---|
541 | |
---|
542 | /** |
---|
543 | * Function used to add the model class to a module |
---|
544 | * @param module: module to add the class to |
---|
545 | */ |
---|
546 | void addCinvertor(PyObject *module) { |
---|
547 | PyObject *d; |
---|
548 | |
---|
549 | if (PyType_Ready(&CinvertorType) < 0) |
---|
550 | return; |
---|
551 | |
---|
552 | Py_INCREF(&CinvertorType); |
---|
553 | PyModule_AddObject(module, "Cinvertor", (PyObject *)&CinvertorType); |
---|
554 | |
---|
555 | d = PyModule_GetDict(module); |
---|
556 | CinvertorError = PyErr_NewException("Cinvertor.error", NULL, NULL); |
---|
557 | PyDict_SetItemString(d, "CinvertorError", CinvertorError); |
---|
558 | } |
---|
559 | |
---|
560 | |
---|
561 | #ifndef PyMODINIT_FUNC /* declarations for DLL import/export */ |
---|
562 | #define PyMODINIT_FUNC void |
---|
563 | #endif |
---|
564 | PyMODINIT_FUNC |
---|
565 | initpr_inversion(void) |
---|
566 | { |
---|
567 | PyObject* m; |
---|
568 | |
---|
569 | m = Py_InitModule3("pr_inversion", module_methods, |
---|
570 | "C extension module for inversion to P(r)."); |
---|
571 | |
---|
572 | addCinvertor(m); |
---|
573 | } |
---|