1 | |
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2 | from sans.models.BaseComponent import BaseComponent |
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3 | from sans.models.RPAModel import RPAModel |
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4 | from copy import deepcopy |
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5 | max_case_n = 10 |
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6 | class RPA10Model(BaseComponent): |
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7 | """ |
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8 | This multi-model is based on Parratt formalism and provides the capability |
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9 | of changing the number of layers between 0 and 10. |
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10 | """ |
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11 | def __init__(self, multfactor=1): |
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12 | BaseComponent.__init__(self) |
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13 | """ |
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14 | :param multfactor: number of cases in the model, assumes 0<= case# <=10. |
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15 | """ |
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16 | |
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17 | ## Setting model name model description |
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18 | self.description="" |
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19 | model = RPAModel() |
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20 | self.model = model |
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21 | self.name = "RPA10Model" |
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22 | self.description=model.description |
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23 | self.case_num = multfactor |
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24 | ## Define parameters |
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25 | self.params = {} |
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26 | |
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27 | ## Parameter details [units, min, max] |
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28 | self.details = {} |
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29 | |
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30 | # non-fittable parameters |
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31 | self.non_fittable = model.non_fittable |
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32 | |
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33 | # list of function in order of the function number |
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34 | self.fun_list = self._get_func_list() |
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35 | ## dispersion |
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36 | self._set_dispersion() |
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37 | ## Define parameters |
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38 | self._set_params() |
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39 | |
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40 | ## Parameter details [units, min, max] |
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41 | self._set_details() |
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42 | |
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43 | #list of parameter that can be fitted |
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44 | self._set_fixed_params() |
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45 | self.model.params['lcase_n'] = self.case_num |
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46 | |
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47 | ## functional multiplicity of the model |
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48 | self.multiplicity = max_case_n |
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49 | |
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50 | def _clone(self, obj): |
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51 | """ |
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52 | Internal utility function to copy the internal |
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53 | data members to a fresh copy. |
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54 | """ |
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55 | obj.params = deepcopy(self.params) |
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56 | obj.non_fittable = deepcopy(self.non_fittable) |
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57 | obj.description = deepcopy(self.description) |
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58 | obj.details = deepcopy(self.details) |
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59 | obj.dispersion = deepcopy(self.dispersion) |
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60 | obj.model = self.model.clone() |
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61 | |
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62 | return obj |
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63 | |
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64 | |
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65 | def _set_dispersion(self): |
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66 | """ |
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67 | model dispersions |
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68 | """ |
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69 | ##set dispersion from model |
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70 | self.dispersion = {} |
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71 | |
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72 | |
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73 | def _set_params(self): |
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74 | """ |
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75 | Concatenate the parameters of the model to create |
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76 | this model parameters |
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77 | """ |
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78 | # set the case number first |
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79 | self.model.params['lcase_n'] = self.case_num |
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80 | # rearrange the parameters for the given # of shells |
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81 | for name , value in self.model.params.iteritems(): |
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82 | if name == 'lcase_n': |
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83 | continue |
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84 | elif name.lower() == 'scale' or \ |
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85 | name.lower() == 'background': |
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86 | self.params[name] = value |
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87 | elif self.case_num <= 1: |
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88 | if name.lower() == 'nc' or \ |
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89 | name.lower() == 'phic' or \ |
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90 | name.lower() == 'vc' or \ |
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91 | name.lower() == 'lc' or \ |
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92 | name.lower() == 'bc' or \ |
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93 | name.lower() == 'nd' or \ |
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94 | name.lower() == 'phid' or \ |
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95 | name.lower() == 'vd' or \ |
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96 | name.lower() == 'ld' or \ |
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97 | name.lower() == 'bd' or \ |
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98 | name.lower() == 'kcd': |
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99 | self.params[name] = value |
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100 | elif self.case_num > 1 and self.case_num <= 4: |
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101 | if name.lower() == 'nb' or \ |
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102 | name.lower() == 'phib' or \ |
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103 | name.lower() == 'vb' or \ |
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104 | name.lower() == 'lb' or \ |
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105 | name.lower() == 'bb' or \ |
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106 | name.lower() == 'nc' or \ |
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107 | name.lower() == 'phic' or \ |
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108 | name.lower() == 'vc' or \ |
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109 | name.lower() == 'lc' or \ |
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110 | name.lower() == 'bc' or \ |
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111 | name.lower() == 'nd' or \ |
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112 | name.lower() == 'phid' or \ |
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113 | name.lower() == 'vd' or \ |
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114 | name.lower() == 'ld' or \ |
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115 | name.lower() == 'bd' or \ |
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116 | name.lower() == 'kbc' or \ |
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117 | name.lower() == 'kbd' or \ |
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118 | name.lower() == 'kcd' : |
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119 | self.params[name] = value |
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120 | else: |
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121 | if name.lower() == 'na' or \ |
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122 | name.lower() == 'phia' or \ |
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123 | name.lower() == 'va' or \ |
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124 | name.lower() == 'la' or \ |
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125 | name.lower() == 'ba' or \ |
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126 | name.lower() == 'nb' or \ |
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127 | name.lower() == 'phib' or \ |
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128 | name.lower() == 'vb' or \ |
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129 | name.lower() == 'lb' or \ |
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130 | name.lower() == 'bb' or \ |
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131 | name.lower() == 'nc' or \ |
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132 | name.lower() == 'phic' or \ |
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133 | name.lower() == 'vc' or \ |
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134 | name.lower() == 'lc' or \ |
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135 | name.lower() == 'bc' or \ |
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136 | name.lower() == 'nd' or \ |
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137 | name.lower() == 'phid' or \ |
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138 | name.lower() == 'vd' or \ |
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139 | name.lower() == 'ld' or \ |
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140 | name.lower() == 'bd' or \ |
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141 | name.lower() == 'kab' or \ |
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142 | name.lower() == 'kac' or \ |
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143 | name.lower() == 'kad' or \ |
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144 | name.lower() == 'kbc' or \ |
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145 | name.lower() == 'kbd' or \ |
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146 | name.lower() == 'kcd' : |
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147 | self.params[name] = value |
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148 | |
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149 | |
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150 | |
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151 | def _set_details(self): |
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152 | """ |
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153 | Concatenate details of the original model to create |
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154 | this model details |
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155 | """ |
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156 | for name ,detail in self.model.details.iteritems(): |
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157 | if name in self.params.iterkeys(): |
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158 | self.details[name]= detail |
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159 | |
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160 | def _get_func_list(self): |
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161 | """ |
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162 | Get the list of functions in each cases |
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163 | """ |
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164 | func_list = {} |
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165 | return func_list |
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166 | |
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167 | def getProfile(self): |
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168 | """ |
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169 | Get SLD profile |
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170 | |
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171 | : return: None, No SLD profile supporting for this model |
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172 | """ |
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173 | return None |
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174 | |
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175 | def setParam(self, name, value): |
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176 | """ |
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177 | Set the value of a model parameter |
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178 | |
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179 | : param name: name of the parameter |
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180 | : param value: value of the parameter |
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181 | """ |
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182 | # set param to new model |
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183 | self._setParamHelper( name, value) |
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184 | |
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185 | self.model.setParam( name, value) |
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186 | |
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187 | def _setParamHelper(self, name, value): |
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188 | """ |
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189 | Helper function to setParam |
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190 | """ |
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191 | |
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192 | # Look for standard parameter |
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193 | for item in self.params.keys(): |
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194 | if item.lower()==name.lower(): |
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195 | self.params[item] = value |
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196 | return |
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197 | |
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198 | raise ValueError, "Model does not contain parameter %s" % name |
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199 | |
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200 | |
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201 | def _set_fixed_params(self): |
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202 | """ |
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203 | Fill the self.fixed list with the model fixed list |
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204 | """ |
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205 | pass |
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206 | |
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207 | def run(self, x = 0.0): |
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208 | """ |
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209 | Evaluate the model |
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210 | |
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211 | :param x: input q, or [q,phi] |
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212 | |
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213 | :return: scattering function P(q) |
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214 | |
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215 | """ |
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216 | |
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217 | return self.model.run(x) |
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218 | |
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219 | def runXY(self, x = 0.0): |
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220 | """ |
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221 | Evaluate the model |
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222 | |
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223 | : param x: input q-value (float or [float, float] as [qx, qy]) |
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224 | : return: scattering function value |
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225 | """ |
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226 | |
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227 | return self.model.runXY(x) |
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228 | |
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229 | ## Now (May27,10) directly uses the model eval function |
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230 | ## instead of the for-loop in Base Component. |
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231 | def evalDistribution(self, x = []): |
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232 | """ |
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233 | Evaluate the model in cartesian coordinates |
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234 | |
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235 | : param x: input q[], or [qx[], qy[]] |
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236 | : return: scattering function P(q[]) |
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237 | """ |
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238 | # set effective radius and scaling factor before run |
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239 | return self.model.evalDistribution(x) |
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240 | def calculate_ER(self): |
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241 | """ |
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242 | """ |
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243 | return self.model.calculate_ER() |
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244 | def set_dispersion(self, parameter, dispersion): |
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245 | """ |
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246 | Set the dispersion object for a model parameter |
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247 | |
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248 | : param parameter: name of the parameter [string] |
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249 | :dispersion: dispersion object of type DispersionModel |
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250 | """ |
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251 | pass |
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