1 | #!/usr/bin/env python |
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2 | """ |
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3 | Provide base functionality for all model components |
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4 | """ |
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5 | |
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6 | # imports |
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7 | import copy |
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8 | #TO DO: that about a way to make the parameter |
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9 | #is self return if it is fittable or not |
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10 | |
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11 | class BaseComponent: |
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12 | """ |
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13 | Basic model component |
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14 | |
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15 | Since version 0.5.0, basic operations are no longer supported. |
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16 | """ |
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17 | |
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18 | def __init__(self): |
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19 | """ Initialization""" |
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20 | |
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21 | ## Name of the model |
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22 | self.name = "BaseComponent" |
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23 | |
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24 | ## Parameters to be accessed by client |
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25 | self.params = {} |
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26 | self.details = {} |
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27 | ## Dictionary used to store the dispersity/averaging |
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28 | # parameters of dispersed/averaged parameters. |
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29 | self.dispersion = {} |
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30 | # string containing information about the model such as the equation |
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31 | #of the given model, exception or possible use |
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32 | self.description='' |
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33 | #list of parameter that cannot be fitted |
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34 | self.fixed= [] |
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35 | |
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36 | def __str__(self): |
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37 | """ |
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38 | @return: string representation |
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39 | """ |
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40 | return self.name |
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41 | |
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42 | def is_fittable(self, par_name): |
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43 | return par_name.lower() not in self.fixed |
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44 | #For the future |
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45 | #return self.params[str(par_name)].is_fittable() |
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46 | |
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47 | def run(self, x): return NotImplemented |
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48 | def runXY(self, x): return NotImplemented |
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49 | |
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50 | def clone(self): |
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51 | """ Returns a new object identical to the current object """ |
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52 | obj = copy.deepcopy(self) |
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53 | return self._clone(obj) |
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54 | |
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55 | def _clone(self, obj): |
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56 | """ |
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57 | Internal utility function to copy the internal |
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58 | data members to a fresh copy. |
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59 | """ |
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60 | obj.params = copy.deepcopy(self.params) |
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61 | obj.details = copy.deepcopy(self.details) |
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62 | obj.dispersion = copy.deepcopy(self.dispersion) |
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63 | return obj |
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64 | |
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65 | def setParam(self, name, value): |
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66 | """ |
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67 | Set the value of a model parameter |
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68 | |
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69 | @param name: name of the parameter |
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70 | @param value: value of the parameter |
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71 | """ |
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72 | # Look for dispersion parameters |
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73 | toks = name.split('.') |
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74 | #print "dispersion",self.dispersion |
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75 | if len(toks)==2: |
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76 | for item in self.dispersion.keys(): |
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77 | if item.lower()==toks[0].lower(): |
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78 | for par in self.dispersion[item]: |
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79 | if par.lower() == toks[1].lower(): |
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80 | self.dispersion[item][par] = value |
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81 | return |
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82 | else: |
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83 | # Look for standard parameter |
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84 | for item in self.params.keys(): |
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85 | if item.lower()==name.lower(): |
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86 | self.params[item] = value |
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87 | #self.params[item] = Parameter(name= item,value=value, is_fixed=False) |
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88 | #print "setparam,self.param",self.params.values() |
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89 | return |
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90 | |
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91 | raise ValueError, "Model does not contain parameter %s" % name |
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92 | |
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93 | def getParam(self, name): |
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94 | """ |
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95 | Set the value of a model parameter |
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96 | |
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97 | @param name: name of the parameter |
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98 | """ |
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99 | # Look for dispersion parameters |
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100 | toks = name.split('.') |
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101 | if len(toks)==2: |
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102 | for item in self.dispersion.keys(): |
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103 | if item.lower()==toks[0].lower(): |
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104 | for par in self.dispersion[item]: |
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105 | if par.lower() == toks[1].lower(): |
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106 | return self.dispersion[item][par] |
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107 | else: |
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108 | # Look for standard parameter |
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109 | for item in self.params.keys(): |
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110 | if item.lower()==name.lower(): |
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111 | #print "getparam", self.params |
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112 | #return self.params[item].value |
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113 | return self.params[item] |
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114 | |
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115 | raise ValueError, "Model does not contain parameter %s" % name |
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116 | |
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117 | def getParamList(self): |
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118 | """ |
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119 | Return a list of all available parameters for the model |
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120 | """ |
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121 | list = self.params.keys() |
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122 | # WARNING: Extending the list with the dispersion parameters |
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123 | list.extend(self.getDispParamList()) |
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124 | return list |
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125 | |
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126 | def getDispParamList(self): |
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127 | """ |
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128 | Return a list of all available parameters for the model |
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129 | """ |
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130 | list = [] |
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131 | |
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132 | for item in self.dispersion.keys(): |
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133 | for p in self.dispersion[item].keys(): |
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134 | if p not in ['type']: |
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135 | list.append('%s.%s' % (item.lower(), p.lower())) |
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136 | |
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137 | return list |
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138 | |
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139 | # Old-style methods that are no longer used |
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140 | def setParamWithToken(self, name, value, token, member): return NotImplemented |
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141 | def getParamWithToken(self, name, token, member): return NotImplemented |
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142 | def getParamListWithToken(self, token, member): return NotImplemented |
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143 | def __add__(self, other): raise ValueError, "Model operation are no longer supported" |
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144 | def __sub__(self, other): raise ValueError, "Model operation are no longer supported" |
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145 | def __mul__(self, other): raise ValueError, "Model operation are no longer supported" |
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146 | def __div__(self, other): raise ValueError, "Model operation are no longer supported" |
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147 | |
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