@@ -0,0 +1,276 | |||
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1 | ''' | |
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2 | Created on June 5, 2012 | |
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3 | ||
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4 | $Author$ | |
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5 | $Id$ | |
|
6 | ''' | |
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7 | ||
|
8 | import os | |
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9 | import sys | |
|
10 | import datetime | |
|
11 | import ConfigParser | |
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12 | ||
|
13 | path = os.path.split(os.getcwd())[0] | |
|
14 | sys.path.append(path) | |
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15 | ||
|
16 | from Model.Voltage import Voltage | |
|
17 | from IO.VoltageIO import * | |
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18 | ||
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19 | from Model.Spectra import Spectra | |
|
20 | from IO.SpectraIO import * | |
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21 | ||
|
22 | from Processing.VoltageProcessor import * | |
|
23 | from Processing.SpectraProcessor import * | |
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24 | ||
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25 | class Operation: | |
|
26 | def __init__(self,name,parameters): | |
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27 | self.name = name | |
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28 | self.parameters = [] | |
|
29 | parametersList = parameters.split(',') | |
|
30 | nparms = len(parametersList)/2 | |
|
31 | for id in range(nparms): | |
|
32 | parmtype = parametersList[id*2] | |
|
33 | value = parametersList[id*2+1] | |
|
34 | if value == 'None': | |
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35 | value = None | |
|
36 | else: | |
|
37 | if parmtype == 'int': | |
|
38 | value = int(value) | |
|
39 | elif parmtype == 'float': | |
|
40 | value = float(value) | |
|
41 | elif parmtype == 'str': | |
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42 | value = str(value) | |
|
43 | elif parmtype == 'datetime': | |
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44 | value = value.split('-'); value = numpy.asarray(value,dtype=numpy.int32) | |
|
45 | value = datetime.datetime(value[0],value[1],value[2],value[3],value[4],value[5]) | |
|
46 | else: | |
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47 | value = None | |
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48 | ||
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49 | self.parameters.append(value) | |
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50 | ||
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51 | ||
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52 | class ExecUnit: | |
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53 | def __init__(self,): | |
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54 | self.id = None | |
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55 | self.type = None | |
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56 | self.execObjIn = None | |
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57 | self.execObjOut = None | |
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58 | self.execProcObj = None | |
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59 | self.input = None | |
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60 | self.operationList = [] | |
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61 | self.flagSetIO = False | |
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62 | ||
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63 | def setIO(self): | |
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64 | self.execProcObj.setIO(self.execObjIn,self.execObjOut) | |
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65 | self.flagSetIO = True | |
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66 | ||
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67 | ||
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68 | def Pfunction(self,name): | |
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69 | ||
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70 | def setup(*args): | |
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71 | inputs = args[0] | |
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72 | if self.type == 'VoltageReader': | |
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73 | path = inputs[0] | |
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74 | startDateTime = inputs[1] | |
|
75 | endDateTime = inputs[2] | |
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76 | set = inputs[3] | |
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77 | expLabel = inputs[4] | |
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78 | ext = inputs[5] | |
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79 | online = inputs[6] | |
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80 | ||
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81 | return self.execProcObj.setup(path,startDateTime,endDateTime,set,expLabel,ext,online) | |
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82 | ||
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83 | if self.type == 'Voltage': | |
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84 | return self.execProcObj.setup() | |
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85 | ||
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86 | if self.type == 'Spectra': | |
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87 | nFFTPoints = inputs[0] | |
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88 | pairList = inputs[1] | |
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89 | return self.execProcObj.setup(nFFTPoints,pairList) | |
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90 | ||
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91 | def getData(*args): | |
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92 | ||
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93 | return self.execProcObj.getData() | |
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94 | ||
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95 | def init(*args): | |
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96 | inputs = args[0] | |
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97 | ||
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98 | parm1 = inputs[0] | |
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99 | ||
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100 | if self.type == 'Voltage': | |
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101 | return self.execProcObj.init() | |
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102 | ||
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103 | if self.type == 'Spectra': | |
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104 | return self.execProcObj.init() | |
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105 | ||
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106 | ||
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107 | def plotData(*args): | |
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108 | inputs = args[0] | |
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109 | ||
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110 | if self.type == 'Voltage': | |
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111 | xmin = inputs[0] | |
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112 | xmax = inputs[1] | |
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113 | ymin = inputs[2] | |
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114 | ymax = inputs[3] | |
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115 | type = inputs[4] | |
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116 | winTitle = inputs[5] | |
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117 | index = inputs[6] | |
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118 | ||
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119 | return self.execProcObj.plotData(xmin,xmax,ymin,ymax,type,winTitle,index) | |
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120 | ||
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121 | if self.type == 'Spectra': | |
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122 | xmin = inputs[0] | |
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123 | xmax = inputs[1] | |
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124 | ymin = inputs[2] | |
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125 | ymax = inputs[3] | |
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126 | winTitle = inputs[4] | |
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127 | index = inputs[5] | |
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128 | ||
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129 | return self.execProcObj.plotData(xmin,xmax,ymin,ymax,winTitle,index) | |
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130 | ||
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131 | def integrator(*args): | |
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132 | inputs = args[0] | |
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133 | N = inputs[0] | |
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134 | self.execProcObj.integrator(N) | |
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135 | ||
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136 | pfuncDict = { "setup": setup, | |
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137 | "getdata": getData, | |
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138 | "init": init, | |
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139 | "plotdata": plotData, | |
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140 | "integrator": integrator} | |
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141 | ||
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142 | return pfuncDict[name] | |
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143 | ||
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144 | ||
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145 | def run(self): | |
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146 | nopers = len(self.operationList) | |
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147 | for idOper in range(nopers): | |
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148 | operObj = self.operationList[idOper] | |
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149 | self.Pfunction(operObj.name)(operObj.parameters) | |
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150 | ||
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151 | ||
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152 | class Controller: | |
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153 | ||
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154 | def __init__(self): | |
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155 | self.sectionList = None | |
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156 | self.execUnitList = None | |
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157 | self.execObjList = None | |
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158 | self.readConfigFile() | |
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159 | self.createObjects() | |
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160 | self.setupOjects() | |
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161 | self.start() | |
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162 | ||
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163 | def readConfigFile(self, filename='experiment.cfg'): | |
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164 | ||
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165 | parser = ConfigParser.SafeConfigParser() | |
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166 | parser.read(filename) | |
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167 | self.sectionList = parser.sections() | |
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168 | self.execUnitList = [] | |
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169 | ||
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170 | for section_name in self.sectionList: | |
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171 | itemList = parser.items(section_name) | |
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172 | self.execUnitList.append(itemList) | |
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173 | ||
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174 | ||
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175 | ||
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176 | def createObjects(self): | |
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177 | self.execObjList = [] | |
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178 | ||
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179 | for itemList in self.execUnitList: | |
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180 | execObj = ExecUnit() | |
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181 | for item in itemList: | |
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182 | name, value = item[0], item[1] | |
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183 | ||
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184 | if name == 'id': | |
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185 | execObj.id = int(value) | |
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186 | continue | |
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187 | ||
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188 | if name == 'type': | |
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189 | execObj.type = value | |
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190 | ||
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191 | if value == 'VoltageReader': | |
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192 | execObj.execObjOut = Voltage() | |
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193 | execObj.execProcObj = VoltageReader(execObj.execObjOut) | |
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194 | ||
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195 | ||
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196 | if value == 'SpectraReader': | |
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197 | execObj.execObjOut = Spectra() | |
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198 | execObj.execProcObj = SpectraReader(execObj.execObjOut) | |
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199 | ||
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200 | ||
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201 | if value == 'CorrelationReader': | |
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202 | execObj.execObjOut = Correlation() | |
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203 | execObj.execProcObj = CorrelationReader(execObj.execObjOut) | |
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204 | ||
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205 | ||
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206 | if value == 'Voltage': | |
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207 | execObj.execProcObj = VoltageProcessor() | |
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208 | execObj.execObjOut = Voltage() | |
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209 | ||
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210 | if value == 'Spectra': | |
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211 | execObj.execProcObj = SpectraProcessor() | |
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212 | execObj.execObjOut = Spectra() | |
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213 | ||
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214 | if value == 'Correlation': | |
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215 | execObj.execProcObj = CorrelationProcessor() | |
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216 | execObj.execObjOut = Correlation() | |
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217 | ||
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218 | elif name == 'input': | |
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219 | execObj.input = int(value) | |
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220 | ||
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221 | else: | |
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222 | operObj = Operation(name,value) | |
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223 | ||
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224 | if name != 'setup': | |
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225 | execObj.operationList.append(operObj) | |
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226 | else: | |
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227 | execObj.Pfunction(name)(operObj.parameters) | |
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228 | ||
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229 | del(operObj) | |
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230 | ||
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231 | self.execObjList.append(execObj) | |
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232 | del(execObj) | |
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233 | ||
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234 | ||
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235 | ||
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236 | def setupOjects(self): | |
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237 | for objIndex in range(len(self.execObjList)): | |
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238 | currExecObj = self.execObjList[objIndex] | |
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239 | ||
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240 | if not(currExecObj.type in ['VoltageReader','SpectraReader','CorrelationReader']): | |
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241 | ||
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242 | idSearch = currExecObj.input | |
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243 | ||
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244 | for objIndex2 in range(len(self.execObjList)): | |
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245 | ||
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246 | lastExecObj = self.execObjList[objIndex2] # este objeto si puede ser un readerl | |
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247 | ||
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248 | if lastExecObj.id == idSearch and currExecObj.flagSetIO == False: | |
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249 | currExecObj.execObjIn = lastExecObj.execObjOut | |
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250 | currExecObj.setIO() | |
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251 | ||
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252 | ||
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253 | ||
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254 | ||
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255 | ||
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256 | ||
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257 | def start(self): | |
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258 | ||
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259 | while(True): | |
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260 | for indexObj in range(len(self.execObjList)): | |
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261 | ExecObj = self.execObjList[indexObj] | |
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262 | ExecObj.run() | |
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263 | ||
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264 | readExecObj = self.execObjList[0] # se asume que el primer elemento es un Reader | |
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265 | if readExecObj.execProcObj.flagNoMoreFiles: | |
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266 | break | |
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267 | if readExecObj.execProcObj.flagIsNewBlock: | |
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268 | print 'Block No %04d, Time: %s' %(readExecObj.execProcObj.nTotalBlocks, | |
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269 | datetime.datetime.fromtimestamp(readExecObj.execProcObj.m_BasicHeader.utc),) | |
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270 | ||
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271 | ||
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272 | ||
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273 | ||
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274 | if __name__ == '__main__': | |
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275 | Controller() | |
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276 | No newline at end of file |
@@ -0,0 +1,23 | |||
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1 | [Read0] | |
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2 | id = 0 | |
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3 | type = VoltageReader | |
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4 | setup = str,/Users/jro/Documents/RadarData/EW_Drifts,datetime,2011-11-20-0-0-1,datetime,2011-12-31-0-0-1,int,0,str,,str,None,int,0 | |
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5 | getData = None,None | |
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6 | ||
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7 | [Processing0] | |
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8 | id = 1 | |
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9 | type = Voltage | |
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10 | input = 0 | |
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11 | setup = None,None | |
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12 | init = None,None | |
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13 | integrator = int,10 | |
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14 | ||
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15 | ||
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16 | [Processing1] | |
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17 | id = 2 | |
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18 | type = Spectra | |
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19 | input = 1 | |
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20 | setup = int,1024,None,None | |
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21 | init = None,None | |
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22 | integrator = int,2 | |
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23 | plotData = float,None,float,None,float,None,float,None,str,Test Spectra Data,int,1 |
@@ -1,548 +1,569 | |||
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1 | 1 | ''' |
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2 | 2 | Created on Feb 7, 2012 |
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3 | 3 | |
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4 | 4 | @author $Author$ |
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5 | 5 | @version $Id$ |
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6 | 6 | ''' |
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7 | 7 | import os, sys |
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8 | 8 | import numpy |
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9 | 9 | |
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10 | 10 | path = os.path.split(os.getcwd())[0] |
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11 | 11 | sys.path.append(path) |
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12 | 12 | |
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13 | 13 | from Model.Spectra import Spectra |
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14 | 14 | from IO.SpectraIO import SpectraWriter |
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15 | 15 | from Graphics.SpectraPlot import Spectrum |
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16 | 16 | |
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17 | 17 | |
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18 | 18 | class SpectraProcessor: |
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19 | 19 | ''' |
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20 | 20 | classdocs |
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21 | 21 | ''' |
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22 | 22 | |
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23 | 23 | dataInObj = None |
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24 | 24 | |
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25 | 25 | dataOutObj = None |
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26 | 26 | |
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27 | 27 | integratorObjIndex = None |
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28 | 28 | |
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29 | 29 | decoderObjIndex = None |
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30 | 30 | |
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31 | 31 | writerObjIndex = None |
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32 | 32 | |
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33 | 33 | plotterObjIndex = None |
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34 | 34 | |
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35 | 35 | integratorObjList = [] |
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36 | 36 | |
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37 | 37 | decoderObjList = [] |
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38 | 38 | |
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39 | 39 | writerObjList = [] |
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40 | 40 | |
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41 | 41 | plotterObjList = [] |
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42 | 42 | |
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43 | 43 | buffer = None |
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44 | 44 | |
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45 | 45 | ptsId = 0 |
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46 | 46 | |
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47 | 47 | nFFTPoints = None |
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48 | 48 | |
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49 | 49 | pairList = None |
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50 | 50 | |
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51 | 51 | |
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52 | def __init__(self, dataInObj, dataOutObj=None): | |
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52 | def __init__(self, dataInObj=None, dataOutObj=None): | |
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53 | 53 | ''' |
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54 | 54 | Constructor |
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55 | 55 | ''' |
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56 | 56 | self.dataInObj = dataInObj |
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57 | 57 | |
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58 | 58 | if dataOutObj == None: |
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59 | 59 | self.dataOutObj = Spectra() |
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60 | 60 | else: |
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61 | 61 | self.dataOutObj = dataOutObj |
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62 | 62 | |
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63 | 63 | self.integratorObjIndex = None |
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64 | 64 | self.decoderObjIndex = None |
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65 | 65 | self.writerObjIndex = None |
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66 | 66 | self.plotterObjIndex = None |
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67 | 67 | |
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68 | 68 | self.integratorObjList = [] |
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69 | 69 | self.decoderObjList = [] |
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70 | 70 | self.writerObjList = [] |
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71 | 71 | self.plotterObjList = [] |
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72 | 72 | |
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73 | 73 | self.buffer = None |
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74 | 74 | self.ptsId = 0 |
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75 | 75 | |
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76 | def init(self, nFFTPoints, pairList=None): | |
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76 | def setIO(self,inputObject, outputObject): | |
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77 | 77 | |
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78 | self.integratorObjIndex = 0 | |
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79 | self.decoderObjIndex = 0 | |
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80 | self.writerObjIndex = 0 | |
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81 | self.plotterObjIndex = 0 | |
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78 | # if not( isinstance(inputObject, Voltage) ): | |
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79 | # print 'InputObject must be an instance from Voltage()' | |
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80 | # sys.exit(0) | |
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82 | 81 | |
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82 | if not( isinstance(outputObject, Spectra) ): | |
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83 | print 'OutputObject must be an instance from Spectra()' | |
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84 | sys.exit(0) | |
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85 | ||
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86 | self.dataInObj = inputObject | |
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87 | self.dataOutObj = outputObject | |
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88 | ||
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89 | def setup(self,nFFTPoints=None, pairList=None): | |
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83 | 90 | if nFFTPoints == None: |
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84 | 91 | nFFTPoints = self.dataOutObj.nFFTPoints |
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85 | 92 | |
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86 | 93 | self.nFFTPoints = nFFTPoints |
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87 | 94 | self.pairList = pairList |
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88 | ||
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95 | ||
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96 | # def init(self, nFFTPoints, pairList=None): | |
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97 | def init(self): | |
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98 | ||
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99 | self.integratorObjIndex = 0 | |
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100 | self.decoderObjIndex = 0 | |
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101 | self.writerObjIndex = 0 | |
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102 | self.plotterObjIndex = 0 | |
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103 | ||
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104 | # if nFFTPoints == None: | |
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105 | # nFFTPoints = self.dataOutObj.nFFTPoints | |
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106 | # | |
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107 | # self.nFFTPoints = nFFTPoints | |
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108 | # self.pairList = pairList | |
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109 | # | |
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89 | 110 | if not( isinstance(self.dataInObj, Spectra) ): |
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90 | 111 | self.__getFft() |
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91 | 112 | else: |
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92 | 113 | self.dataOutObj.copy(self.dataInObj) |
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93 | 114 | |
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94 | 115 | |
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95 | 116 | def __getFft(self): |
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96 | 117 | """ |
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97 | 118 | Convierte valores de Voltaje a Spectra |
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98 | 119 | |
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99 | 120 | Affected: |
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100 | 121 | self.dataOutObj.data_spc |
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101 | 122 | self.dataOutObj.data_cspc |
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102 | 123 | self.dataOutObj.data_dc |
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103 | 124 | self.dataOutObj.heightList |
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104 | 125 | self.dataOutObj.m_BasicHeader |
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105 | 126 | self.dataOutObj.m_ProcessingHeader |
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106 | 127 | self.dataOutObj.m_RadarControllerHeader |
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107 | 128 | self.dataOutObj.m_SystemHeader |
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108 | 129 | self.ptsId |
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109 | 130 | self.buffer |
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110 | 131 | self.dataOutObj.flagNoData |
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111 | 132 | self.dataOutObj.dataType |
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112 | 133 | self.dataOutObj.nPairs |
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113 | 134 | self.dataOutObj.nChannels |
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114 | 135 | self.dataOutObj.nProfiles |
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115 | 136 | self.dataOutObj.m_SystemHeader.numChannels |
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116 | 137 | self.dataOutObj.m_ProcessingHeader.totalSpectra |
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117 | 138 | self.dataOutObj.m_ProcessingHeader.profilesPerBlock |
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118 | 139 | self.dataOutObj.m_ProcessingHeader.numHeights |
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119 | 140 | self.dataOutObj.m_ProcessingHeader.spectraComb |
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120 | 141 | self.dataOutObj.m_ProcessingHeader.shif_fft |
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121 | 142 | """ |
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122 | 143 | blocksize = 0 |
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123 | 144 | nFFTPoints = self.nFFTPoints |
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124 | 145 | nChannels, nheis = self.dataInObj.data.shape |
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125 | 146 | |
|
126 | 147 | if self.buffer == None: |
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127 | 148 | self.buffer = numpy.zeros((nChannels, nFFTPoints, nheis), dtype='complex') |
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128 | 149 | |
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129 | 150 | self.buffer[:,self.ptsId,:] = self.dataInObj.data |
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130 | 151 | self.ptsId += 1 |
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131 | 152 | |
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132 | 153 | if self.ptsId < self.dataOutObj.nFFTPoints: |
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133 | 154 | self.dataOutObj.flagNoData = True |
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134 | 155 | return |
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135 | 156 | |
|
136 | 157 | fft_volt = numpy.fft.fft(self.buffer,axis=1) |
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137 | 158 | dc = fft_volt[:,0,:] |
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138 | 159 | |
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139 | 160 | #calculo de self-spectra |
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140 | 161 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
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141 | 162 | spc = numpy.abs(fft_volt * numpy.conjugate(fft_volt)) |
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142 | 163 | |
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143 | 164 | blocksize += dc.size |
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144 | 165 | blocksize += spc.size |
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145 | 166 | |
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146 | 167 | cspc = None |
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147 | 168 | nPair = 0 |
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148 | 169 | if self.pairList != None: |
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149 | 170 | #calculo de cross-spectra |
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150 | 171 | nPairs = len(self.pairList) |
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151 | 172 | cspc = numpy.zeros((nPairs, nFFTPoints, nheis), dtype='complex') |
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152 | 173 | for pair in self.pairList: |
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153 | 174 | cspc[nPair,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:])) |
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154 | 175 | nPair += 1 |
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155 | 176 | blocksize += cspc.size |
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156 | 177 | |
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157 | 178 | self.dataOutObj.data_spc = spc |
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158 | 179 | self.dataOutObj.data_cspc = cspc |
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159 | 180 | self.dataOutObj.data_dc = dc |
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160 | 181 | |
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161 | 182 | self.ptsId = 0 |
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162 | 183 | self.buffer = None |
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163 | 184 | self.dataOutObj.flagNoData = False |
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164 | 185 | |
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165 | 186 | self.dataOutObj.heightList = self.dataInObj.heightList |
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166 | 187 | self.dataOutObj.channelList = self.dataInObj.channelList |
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167 | 188 | self.dataOutObj.m_BasicHeader = self.dataInObj.m_BasicHeader.copy() |
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168 | 189 | self.dataOutObj.m_ProcessingHeader = self.dataInObj.m_ProcessingHeader.copy() |
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169 | 190 | self.dataOutObj.m_RadarControllerHeader = self.dataInObj.m_RadarControllerHeader.copy() |
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170 | 191 | self.dataOutObj.m_SystemHeader = self.dataInObj.m_SystemHeader.copy() |
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171 | 192 | |
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172 | 193 | self.dataOutObj.dataType = self.dataInObj.dataType |
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173 | 194 | self.dataOutObj.nPairs = nPair |
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174 | 195 | self.dataOutObj.nChannels = nChannels |
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175 | 196 | self.dataOutObj.nProfiles = nFFTPoints |
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176 | 197 | self.dataOutObj.nHeights = nheis |
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177 | 198 | self.dataOutObj.nFFTPoints = nFFTPoints |
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178 | 199 | #self.dataOutObj.data = None |
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179 | 200 | |
|
180 | 201 | self.dataOutObj.m_SystemHeader.numChannels = nChannels |
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181 | 202 | self.dataOutObj.m_SystemHeader.nProfiles = nFFTPoints |
|
182 | 203 | |
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183 | 204 | self.dataOutObj.m_ProcessingHeader.blockSize = blocksize |
|
184 | 205 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPair |
|
185 | 206 | self.dataOutObj.m_ProcessingHeader.profilesPerBlock = nFFTPoints |
|
186 | 207 | self.dataOutObj.m_ProcessingHeader.numHeights = nheis |
|
187 | 208 | self.dataOutObj.m_ProcessingHeader.shif_fft = True |
|
188 | 209 | |
|
189 | 210 | spectraComb = numpy.zeros( (nChannels+nPair)*2,numpy.dtype('u1')) |
|
190 | 211 | k = 0 |
|
191 | 212 | for i in range( 0,nChannels*2,2 ): |
|
192 | 213 | spectraComb[i] = k |
|
193 | 214 | spectraComb[i+1] = k |
|
194 | 215 | k += 1 |
|
195 | 216 | |
|
196 | 217 | k *= 2 |
|
197 | 218 | |
|
198 | 219 | if self.pairList != None: |
|
199 | 220 | |
|
200 | 221 | for pair in self.pairList: |
|
201 | 222 | spectraComb[k] = pair[0] |
|
202 | 223 | spectraComb[k+1] = pair[1] |
|
203 | 224 | k += 2 |
|
204 | 225 | |
|
205 | 226 | self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb |
|
206 | 227 | |
|
207 | 228 | |
|
208 | 229 | def addWriter(self,wrpath): |
|
209 | 230 | objWriter = SpectraWriter(self.dataOutObj) |
|
210 | 231 | objWriter.setup(wrpath) |
|
211 | 232 | self.writerObjList.append(objWriter) |
|
212 | 233 | |
|
213 | 234 | |
|
214 | 235 | def addPlotter(self, index=None): |
|
215 | 236 | |
|
216 | 237 | if index==None: |
|
217 | 238 | index = self.plotterObjIndex |
|
218 | 239 | |
|
219 | 240 | plotObj = Spectrum(self.dataOutObj, index) |
|
220 | 241 | self.plotterObjList.append(plotObj) |
|
221 | 242 | |
|
222 | 243 | |
|
223 | 244 | def addIntegrator(self,N): |
|
224 | 245 | |
|
225 | 246 | objIncohInt = IncoherentIntegration(N) |
|
226 | 247 | self.integratorObjList.append(objIncohInt) |
|
227 | 248 | |
|
228 | 249 | |
|
229 | 250 | def writeData(self, wrpath): |
|
230 | 251 | if self.dataOutObj.flagNoData: |
|
231 | 252 | return 0 |
|
232 | 253 | |
|
233 | 254 | if len(self.writerObjList) <= self.writerObjIndex: |
|
234 | 255 | self.addWriter(wrpath) |
|
235 | 256 | |
|
236 | 257 | self.writerObjList[self.writerObjIndex].putData() |
|
237 | 258 | |
|
238 | 259 | self.writerObjIndex += 1 |
|
239 | 260 | |
|
240 | 261 | def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, winTitle='', index=None): |
|
241 | 262 | if self.dataOutObj.flagNoData: |
|
242 | 263 | return 0 |
|
243 | 264 | |
|
244 | 265 | if len(self.plotterObjList) <= self.plotterObjIndex: |
|
245 | 266 | self.addPlotter(index) |
|
246 | 267 | |
|
247 | 268 | self.plotterObjList[self.plotterObjIndex].plotData(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,winTitle=winTitle) |
|
248 | 269 | |
|
249 | 270 | self.plotterObjIndex += 1 |
|
250 | 271 | |
|
251 | 272 | def integrator(self, N): |
|
252 | 273 | if self.dataOutObj.flagNoData: |
|
253 | 274 | return 0 |
|
254 | 275 | |
|
255 | 276 | if len(self.integratorObjList) <= self.integratorObjIndex: |
|
256 | 277 | self.addIntegrator(N) |
|
257 | 278 | |
|
258 | 279 | myCohIntObj = self.integratorObjList[self.integratorObjIndex] |
|
259 | 280 | myCohIntObj.exe(self.dataOutObj.data_spc) |
|
260 | 281 | |
|
261 | 282 | if myCohIntObj.flag: |
|
262 | 283 | self.dataOutObj.data_spc = myCohIntObj.data |
|
263 | 284 | self.dataOutObj.m_ProcessingHeader.incoherentInt *= N |
|
264 | 285 | self.dataOutObj.flagNoData = False |
|
265 | 286 | |
|
266 | 287 | else: |
|
267 | 288 | self.dataOutObj.flagNoData = True |
|
268 | 289 | |
|
269 | 290 | self.integratorObjIndex += 1 |
|
270 | 291 | |
|
271 | 292 | def removeDC(self, type): |
|
272 | 293 | |
|
273 | 294 | if self.dataOutObj.flagNoData: |
|
274 | 295 | return 0 |
|
275 | 296 | pass |
|
276 | 297 | |
|
277 | 298 | def removeInterference(self): |
|
278 | 299 | |
|
279 | 300 | if self.dataOutObj.flagNoData: |
|
280 | 301 | return 0 |
|
281 | 302 | pass |
|
282 | 303 | |
|
283 | 304 | def removeSatellites(self): |
|
284 | 305 | |
|
285 | 306 | if self.dataOutObj.flagNoData: |
|
286 | 307 | return 0 |
|
287 | 308 | pass |
|
288 | 309 | |
|
289 | 310 | def selectChannels(self, channelList, pairList=None): |
|
290 | 311 | """ |
|
291 | 312 | Selecciona un bloque de datos en base a canales y pares segun el channelList y el pairList |
|
292 | 313 | |
|
293 | 314 | Input: |
|
294 | 315 | channelList : lista sencilla de canales a seleccionar por ej. (2,3,7) |
|
295 | 316 | pairList : tupla de pares que se desea selecionar por ej. ( (0,1), (0,2) ) |
|
296 | 317 | |
|
297 | 318 | Affected: |
|
298 | 319 | self.dataOutObj.data_spc |
|
299 | 320 | self.dataOutObj.data_cspc |
|
300 | 321 | self.dataOutObj.data_dc |
|
301 | 322 | self.dataOutObj.nChannels |
|
302 | 323 | self.dataOutObj.nPairs |
|
303 | 324 | self.dataOutObj.m_ProcessingHeader.spectraComb |
|
304 | 325 | self.dataOutObj.m_SystemHeader.numChannels |
|
305 | 326 | |
|
306 | 327 | Return: |
|
307 | 328 | None |
|
308 | 329 | """ |
|
309 | 330 | |
|
310 | 331 | if self.dataOutObj.flagNoData: |
|
311 | 332 | return 0 |
|
312 | 333 | |
|
313 | 334 | channelIndexList = [] |
|
314 | 335 | for channel in channelList: |
|
315 | 336 | if channel in self.dataOutObj.channelList: |
|
316 | 337 | index = self.dataOutObj.channelList.index(channel) |
|
317 | 338 | channelIndexList.append(index) |
|
318 | 339 | continue |
|
319 | 340 | |
|
320 | 341 | raise ValueError, "The value %d in channelList is not valid" %channel |
|
321 | 342 | |
|
322 | 343 | nProfiles = self.dataOutObj.nProfiles |
|
323 | 344 | #dataType = self.dataOutObj.dataType |
|
324 | 345 | nHeights = self.dataOutObj.nHeights #m_ProcessingHeader.numHeights |
|
325 | 346 | blocksize = 0 |
|
326 | 347 | |
|
327 | 348 | #self spectra |
|
328 | 349 | nChannels = len(channelIndexList) |
|
329 | 350 | spc = numpy.zeros( (nChannels,nProfiles,nHeights), dtype='float' ) #dataType[0] ) |
|
330 | 351 | |
|
331 | 352 | for index, channel in enumerate(channelIndexList): |
|
332 | 353 | spc[index,:,:] = self.dataOutObj.data_spc[index,:,:] |
|
333 | 354 | |
|
334 | 355 | #DC channel |
|
335 | 356 | dc = numpy.zeros( (nChannels,nHeights), dtype='complex' ) |
|
336 | 357 | for index, channel in enumerate(channelIndexList): |
|
337 | 358 | dc[index,:] = self.dataOutObj.data_dc[channel,:] |
|
338 | 359 | |
|
339 | 360 | blocksize += dc.size |
|
340 | 361 | blocksize += spc.size |
|
341 | 362 | |
|
342 | 363 | nPairs = 0 |
|
343 | 364 | cspc = None |
|
344 | 365 | |
|
345 | 366 | if pairList == None: |
|
346 | 367 | pairList = self.pairList |
|
347 | 368 | |
|
348 | 369 | if (pairList != None) and (self.dataOutObj.data_cspc != None): |
|
349 | 370 | #cross spectra |
|
350 | 371 | nPairs = len(pairList) |
|
351 | 372 | cspc = numpy.zeros( (nPairs,nProfiles,nHeights), dtype='complex' ) |
|
352 | 373 | |
|
353 | 374 | spectraComb = self.dataOutObj.m_ProcessingHeader.spectraComb |
|
354 | 375 | totalSpectra = len(spectraComb) |
|
355 | 376 | nchan = self.dataOutObj.nChannels |
|
356 | 377 | pairIndexList = [] |
|
357 | 378 | |
|
358 | 379 | for pair in pairList: #busco el par en la lista de pares del Spectra Combinations |
|
359 | 380 | for index in range(0,totalSpectra,2): |
|
360 | 381 | if pair[0] == spectraComb[index] and pair[1] == spectraComb[index+1]: |
|
361 | 382 | pairIndexList.append( index/2 - nchan ) |
|
362 | 383 | |
|
363 | 384 | for index, pair in enumerate(pairIndexList): |
|
364 | 385 | cspc[index,:,:] = self.dataOutObj.data_cspc[pair,:,:] |
|
365 | 386 | blocksize += cspc.size |
|
366 | 387 | |
|
367 | 388 | else: |
|
368 | 389 | pairList = self.pairList |
|
369 | 390 | cspc = self.dataOutObj.data_cspc |
|
370 | 391 | if cspc != None: |
|
371 | 392 | blocksize += cspc.size |
|
372 | 393 | |
|
373 | 394 | spectraComb = numpy.zeros( (nChannels+nPairs)*2,numpy.dtype('u1')) |
|
374 | 395 | i = 0 |
|
375 | 396 | for val in channelList: |
|
376 | 397 | spectraComb[i] = val |
|
377 | 398 | spectraComb[i+1] = val |
|
378 | 399 | i += 2 |
|
379 | 400 | |
|
380 | 401 | if pairList != None: |
|
381 | 402 | for pair in pairList: |
|
382 | 403 | spectraComb[i] = pair[0] |
|
383 | 404 | spectraComb[i+1] = pair[1] |
|
384 | 405 | i += 2 |
|
385 | 406 | |
|
386 | 407 | self.dataOutObj.data_spc = spc |
|
387 | 408 | self.dataOutObj.data_cspc = cspc |
|
388 | 409 | self.dataOutObj.data_dc = dc |
|
389 | 410 | self.dataOutObj.nChannels = nChannels |
|
390 | 411 | self.dataOutObj.nPairs = nPairs |
|
391 | 412 | |
|
392 | 413 | self.dataOutObj.channelList = channelList |
|
393 | 414 | |
|
394 | 415 | self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb |
|
395 | 416 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPairs |
|
396 | 417 | self.dataOutObj.m_SystemHeader.numChannels = nChannels |
|
397 | 418 | self.dataOutObj.nChannels = nChannels |
|
398 | 419 | self.dataOutObj.m_ProcessingHeader.blockSize = blocksize |
|
399 | 420 | |
|
400 | 421 | |
|
401 | 422 | def selectHeightsByValue(self, minHei, maxHei): |
|
402 | 423 | """ |
|
403 | 424 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
404 | 425 | minHei <= height <= maxHei |
|
405 | 426 | |
|
406 | 427 | Input: |
|
407 | 428 | minHei : valor minimo de altura a considerar |
|
408 | 429 | maxHei : valor maximo de altura a considerar |
|
409 | 430 | |
|
410 | 431 | Affected: |
|
411 | 432 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
412 | 433 | |
|
413 | 434 | Return: |
|
414 | 435 | None |
|
415 | 436 | """ |
|
416 | 437 | |
|
417 | 438 | if self.dataOutObj.flagNoData: |
|
418 | 439 | return 0 |
|
419 | 440 | |
|
420 | 441 | if (minHei < self.dataOutObj.heightList[0]) or (minHei > maxHei): |
|
421 | 442 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
422 | 443 | |
|
423 | 444 | if (maxHei > self.dataOutObj.heightList[-1]): |
|
424 | 445 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
425 | 446 | |
|
426 | 447 | minIndex = 0 |
|
427 | 448 | maxIndex = 0 |
|
428 | 449 | data = self.dataOutObj.heightList |
|
429 | 450 | |
|
430 | 451 | for i,val in enumerate(data): |
|
431 | 452 | if val < minHei: |
|
432 | 453 | continue |
|
433 | 454 | else: |
|
434 | 455 | minIndex = i; |
|
435 | 456 | break |
|
436 | 457 | |
|
437 | 458 | for i,val in enumerate(data): |
|
438 | 459 | if val <= maxHei: |
|
439 | 460 | maxIndex = i; |
|
440 | 461 | else: |
|
441 | 462 | break |
|
442 | 463 | |
|
443 | 464 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
444 | 465 | |
|
445 | 466 | |
|
446 | 467 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
447 | 468 | """ |
|
448 | 469 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
449 | 470 | minIndex <= index <= maxIndex |
|
450 | 471 | |
|
451 | 472 | Input: |
|
452 | 473 | minIndex : valor minimo de altura a considerar |
|
453 | 474 | maxIndex : valor maximo de altura a considerar |
|
454 | 475 | |
|
455 | 476 | Affected: |
|
456 | 477 | self.dataOutObj.data_spc |
|
457 | 478 | self.dataOutObj.data_cspc |
|
458 | 479 | self.dataOutObj.data_dc |
|
459 | 480 | self.dataOutObj.heightList |
|
460 | 481 | self.dataOutObj.nHeights |
|
461 | 482 | self.dataOutObj.m_ProcessingHeader.numHeights |
|
462 | 483 | self.dataOutObj.m_ProcessingHeader.blockSize |
|
463 | 484 | self.dataOutObj.m_ProcessingHeader.firstHeight |
|
464 | 485 | self.dataOutObj.m_RadarControllerHeader.numHeights |
|
465 | 486 | |
|
466 | 487 | Return: |
|
467 | 488 | None |
|
468 | 489 | """ |
|
469 | 490 | |
|
470 | 491 | if self.dataOutObj.flagNoData: |
|
471 | 492 | return 0 |
|
472 | 493 | |
|
473 | 494 | if (minIndex < 0) or (minIndex > maxIndex): |
|
474 | 495 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
475 | 496 | |
|
476 | 497 | if (maxIndex >= self.dataOutObj.nHeights): |
|
477 | 498 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
478 | 499 | |
|
479 | 500 | nChannels = self.dataOutObj.nChannels |
|
480 | 501 | nPairs = self.dataOutObj.nPairs |
|
481 | 502 | nProfiles = self.dataOutObj.nProfiles |
|
482 | 503 | dataType = self.dataOutObj.dataType |
|
483 | 504 | nHeights = maxIndex - minIndex + 1 |
|
484 | 505 | blockSize = 0 |
|
485 | 506 | |
|
486 | 507 | #self spectra |
|
487 | 508 | spc = self.dataOutObj.data_spc[:,:,minIndex:maxIndex+1] |
|
488 | 509 | blockSize += spc.size |
|
489 | 510 | |
|
490 | 511 | #cross spectra |
|
491 | 512 | cspc = None |
|
492 | 513 | if self.dataOutObj.data_cspc != None: |
|
493 | 514 | cspc = self.dataOutObj.data_cspc[:,:,minIndex:maxIndex+1] |
|
494 | 515 | blockSize += cspc.size |
|
495 | 516 | |
|
496 | 517 | #DC channel |
|
497 | 518 | dc = self.dataOutObj.data_dc[:,minIndex:maxIndex+1] |
|
498 | 519 | blockSize += dc.size |
|
499 | 520 | |
|
500 | 521 | self.dataOutObj.data_spc = spc |
|
501 | 522 | if cspc != None: |
|
502 | 523 | self.dataOutObj.data_cspc = cspc |
|
503 | 524 | self.dataOutObj.data_dc = dc |
|
504 | 525 | |
|
505 | 526 | firstHeight = self.dataOutObj.heightList[minIndex] |
|
506 | 527 | |
|
507 | 528 | self.dataOutObj.nHeights = nHeights |
|
508 | 529 | self.dataOutObj.m_ProcessingHeader.blockSize = blockSize |
|
509 | 530 | self.dataOutObj.m_ProcessingHeader.numHeights = nHeights |
|
510 | 531 | self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight |
|
511 | 532 | self.dataOutObj.m_RadarControllerHeader.numHeights = nHeights |
|
512 | 533 | |
|
513 | 534 | self.dataOutObj.heightList = self.dataOutObj.heightList[minIndex:maxIndex+1] |
|
514 | 535 | |
|
515 | 536 | |
|
516 | 537 | class IncoherentIntegration: |
|
517 | 538 | |
|
518 | 539 | profCounter = 1 |
|
519 | 540 | data = None |
|
520 | 541 | buffer = None |
|
521 | 542 | flag = False |
|
522 | 543 | nIncohInt = None |
|
523 | 544 | |
|
524 | 545 | def __init__(self, N): |
|
525 | 546 | |
|
526 | 547 | self.profCounter = 1 |
|
527 | 548 | self.data = None |
|
528 | 549 | self.buffer = None |
|
529 | 550 | self.flag = False |
|
530 | 551 | self.nIncohInt = N |
|
531 | 552 | |
|
532 | 553 | def exe(self,data): |
|
533 | 554 | |
|
534 | 555 | if self.buffer == None: |
|
535 | 556 | self.buffer = data |
|
536 | 557 | else: |
|
537 | 558 | self.buffer = self.buffer + data |
|
538 | 559 | |
|
539 | 560 | if self.profCounter == self.nIncohInt: |
|
540 | 561 | self.data = self.buffer |
|
541 | 562 | self.buffer = None |
|
542 | 563 | self.profCounter = 0 |
|
543 | 564 | self.flag = True |
|
544 | 565 | else: |
|
545 | 566 | self.flag = False |
|
546 | 567 | |
|
547 | 568 | self.profCounter += 1 |
|
548 | 569 |
@@ -1,531 +1,549 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on Feb 7, 2012 |
|
3 | 3 | |
|
4 | 4 | @author $Author$ |
|
5 | 5 | @version $Id$ |
|
6 | 6 | ''' |
|
7 | 7 | |
|
8 | 8 | import os, sys |
|
9 | 9 | import numpy |
|
10 | 10 | |
|
11 | 11 | path = os.path.split(os.getcwd())[0] |
|
12 | 12 | sys.path.append(path) |
|
13 | 13 | |
|
14 | 14 | from Model.Voltage import Voltage |
|
15 | 15 | from IO.VoltageIO import VoltageWriter |
|
16 | 16 | from Graphics.VoltagePlot import Osciloscope |
|
17 | 17 | |
|
18 | 18 | class VoltageProcessor: |
|
19 | 19 | ''' |
|
20 | 20 | classdocs |
|
21 | 21 | ''' |
|
22 | 22 | |
|
23 | 23 | dataInObj = None |
|
24 | 24 | dataOutObj = None |
|
25 | 25 | |
|
26 | 26 | integratorObjIndex = None |
|
27 | 27 | decoderObjIndex = None |
|
28 | 28 | profSelectorObjIndex = None |
|
29 | 29 | writerObjIndex = None |
|
30 | 30 | plotterObjIndex = None |
|
31 | 31 | flipIndex = None |
|
32 | 32 | |
|
33 | 33 | integratorObjList = [] |
|
34 | 34 | decoderObjList = [] |
|
35 | 35 | profileSelectorObjList = [] |
|
36 | 36 | writerObjList = [] |
|
37 | 37 | plotterObjList = [] |
|
38 | 38 | m_Voltage= Voltage() |
|
39 | 39 | |
|
40 | def __init__(self, dataInObj, dataOutObj=None): | |
|
40 | def __init__(self, dataInObj=None, dataOutObj=None): | |
|
41 | 41 | ''' |
|
42 | 42 | Constructor |
|
43 | 43 | ''' |
|
44 | 44 | |
|
45 | 45 | self.dataInObj = dataInObj |
|
46 | 46 | |
|
47 | 47 | if dataOutObj == None: |
|
48 | 48 | self.dataOutObj = Voltage() |
|
49 | 49 | else: |
|
50 | 50 | self.dataOutObj = dataOutObj |
|
51 | 51 | |
|
52 | 52 | self.integratorObjIndex = None |
|
53 | 53 | self.decoderObjIndex = None |
|
54 | 54 | self.profSelectorObjIndex = None |
|
55 | 55 | self.writerObjIndex = None |
|
56 | 56 | self.plotterObjIndex = None |
|
57 | 57 | self.flipIndex = 1 |
|
58 | 58 | self.integratorObjList = [] |
|
59 | 59 | self.decoderObjList = [] |
|
60 | 60 | self.profileSelectorObjList = [] |
|
61 | 61 | self.writerObjList = [] |
|
62 | 62 | self.plotterObjList = [] |
|
63 | 63 | |
|
64 | def setIO(self,inputObject, outputObject): | |
|
65 | ||
|
66 | if not( isinstance(inputObject, Voltage) ): | |
|
67 | print 'InputObject must be an instance from Voltage()' | |
|
68 | sys.exit(0) | |
|
69 | ||
|
70 | if not( isinstance(outputObject, Voltage) ): | |
|
71 | print 'OutputObject must be an instance from Voltage()' | |
|
72 | sys.exit(0) | |
|
73 | ||
|
74 | self.dataInObj = inputObject | |
|
75 | self.dataOutObj = outputObject | |
|
76 | ||
|
77 | def setup(self): | |
|
78 | pass | |
|
79 | ||
|
64 | 80 | def init(self): |
|
65 | 81 | |
|
66 | 82 | self.integratorObjIndex = 0 |
|
67 | 83 | self.decoderObjIndex = 0 |
|
68 | 84 | self.profSelectorObjIndex = 0 |
|
69 | 85 | self.writerObjIndex = 0 |
|
70 | 86 | self.plotterObjIndex = 0 |
|
71 | 87 | self.dataOutObj.copy(self.dataInObj) |
|
72 | 88 | |
|
73 | 89 | if self.profSelectorObjIndex != None: |
|
74 | 90 | for profSelObj in self.profileSelectorObjList: |
|
75 | 91 | profSelObj.incIndex() |
|
76 | 92 | |
|
77 | 93 | def addWriter(self, wrpath): |
|
78 | 94 | objWriter = VoltageWriter(self.dataOutObj) |
|
79 | 95 | objWriter.setup(wrpath) |
|
80 | 96 | self.writerObjList.append(objWriter) |
|
81 | 97 | |
|
82 | def addPlotter(self): | |
|
98 | def addPlotter(self, index=None): | |
|
99 | if index==None: | |
|
100 | index = self.plotterObjIndex | |
|
83 | 101 | |
|
84 |
plotObj = Osciloscope(self.dataOutObj, |
|
|
102 | plotObj = Osciloscope(self.dataOutObj, index) | |
|
85 | 103 | self.plotterObjList.append(plotObj) |
|
86 | ||
|
104 | ||
|
87 | 105 | def addIntegrator(self, nCohInt): |
|
88 | 106 | |
|
89 | 107 | objCohInt = CoherentIntegrator(nCohInt) |
|
90 | 108 | self.integratorObjList.append(objCohInt) |
|
91 | 109 | |
|
92 | 110 | def addDecoder(self, code, ncode, nbaud): |
|
93 | 111 | |
|
94 | 112 | objDecoder = Decoder(code,ncode,nbaud) |
|
95 | 113 | self.decoderObjList.append(objDecoder) |
|
96 | 114 | |
|
97 | 115 | def addProfileSelector(self, nProfiles): |
|
98 | 116 | |
|
99 | 117 | objProfSelector = ProfileSelector(nProfiles) |
|
100 | 118 | self.profileSelectorObjList.append(objProfSelector) |
|
101 | 119 | |
|
102 | 120 | def writeData(self,wrpath): |
|
103 | 121 | |
|
104 | 122 | if self.dataOutObj.flagNoData: |
|
105 | 123 | return 0 |
|
106 | 124 | |
|
107 | 125 | if len(self.writerObjList) <= self.writerObjIndex: |
|
108 | 126 | self.addWriter(wrpath) |
|
109 | 127 | |
|
110 | 128 | self.writerObjList[self.writerObjIndex].putData() |
|
111 | 129 | |
|
112 | 130 | # myWrObj = self.writerObjList[self.writerObjIndex] |
|
113 | 131 | # myWrObj.putData() |
|
114 | 132 | |
|
115 | 133 | self.writerObjIndex += 1 |
|
116 | 134 | |
|
117 |
def plotData(self, |
|
|
135 | def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, type='iq', winTitle='', index=None): | |
|
118 | 136 | if self.dataOutObj.flagNoData: |
|
119 | 137 | return 0 |
|
120 |
|
|
|
138 | ||
|
121 | 139 | if len(self.plotterObjList) <= self.plotterObjIndex: |
|
122 | self.addPlotter() | |
|
140 | self.addPlotter(index) | |
|
123 | 141 | |
|
124 |
self.plotterObjList[self.plotterObjIndex].plotData( |
|
|
142 | self.plotterObjList[self.plotterObjIndex].plotData(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,type=type, winTitle=winTitle) | |
|
125 | 143 | |
|
126 | 144 | self.plotterObjIndex += 1 |
|
127 | 145 | |
|
128 | 146 | def integrator(self, N): |
|
129 | 147 | |
|
130 | 148 | if self.dataOutObj.flagNoData: |
|
131 | 149 | return 0 |
|
132 | 150 | |
|
133 | 151 | if len(self.integratorObjList) <= self.integratorObjIndex: |
|
134 | 152 | self.addIntegrator(N) |
|
135 | 153 | |
|
136 | 154 | myCohIntObj = self.integratorObjList[self.integratorObjIndex] |
|
137 | 155 | myCohIntObj.exe(self.dataOutObj.data) |
|
138 | 156 | |
|
139 | 157 | if myCohIntObj.flag: |
|
140 | 158 | self.dataOutObj.data = myCohIntObj.data |
|
141 | 159 | self.dataOutObj.m_ProcessingHeader.coherentInt *= N |
|
142 | 160 | self.dataOutObj.flagNoData = False |
|
143 | 161 | |
|
144 | 162 | else: |
|
145 | 163 | self.dataOutObj.flagNoData = True |
|
146 | 164 | |
|
147 | 165 | self.integratorObjIndex += 1 |
|
148 | 166 | |
|
149 | 167 | def decoder(self,code=None,type = 0): |
|
150 | 168 | |
|
151 | 169 | if self.dataOutObj.flagNoData: |
|
152 | 170 | return 0 |
|
153 | 171 | |
|
154 | 172 | if code == None: |
|
155 | 173 | code = self.dataOutObj.m_RadarControllerHeader.code |
|
156 | 174 | ncode, nbaud = code.shape |
|
157 | 175 | |
|
158 | 176 | if len(self.decoderObjList) <= self.decoderObjIndex: |
|
159 | 177 | self.addDecoder(code,ncode,nbaud) |
|
160 | 178 | |
|
161 | 179 | myDecodObj = self.decoderObjList[self.decoderObjIndex] |
|
162 | 180 | myDecodObj.exe(data=self.dataOutObj.data,type=type) |
|
163 | 181 | |
|
164 | 182 | if myDecodObj.flag: |
|
165 | 183 | self.dataOutObj.data = myDecodObj.data |
|
166 | 184 | self.dataOutObj.flagNoData = False |
|
167 | 185 | else: |
|
168 | 186 | self.dataOutObj.flagNoData = True |
|
169 | 187 | |
|
170 | 188 | self.decoderObjIndex += 1 |
|
171 | 189 | |
|
172 | 190 | |
|
173 | 191 | def filterByHei(self, window): |
|
174 | 192 | if window == None: |
|
175 | 193 | window = self.dataOutObj.m_RadarControllerHeader.txA / self.dataOutObj.m_ProcessingHeader.deltaHeight[0] |
|
176 | 194 | |
|
177 | 195 | newdelta = self.dataOutObj.m_ProcessingHeader.deltaHeight[0] * window |
|
178 | 196 | dim1 = self.dataOutObj.data.shape[0] |
|
179 | 197 | dim2 = self.dataOutObj.data.shape[1] |
|
180 | 198 | r = dim2 % window |
|
181 | 199 | |
|
182 | 200 | buffer = self.dataOutObj.data[:,0:dim2-r] |
|
183 | 201 | buffer = buffer.reshape(dim1,dim2/window,window) |
|
184 | 202 | buffer = numpy.sum(buffer,2) |
|
185 | 203 | self.dataOutObj.data = buffer |
|
186 | 204 | |
|
187 | 205 | self.dataOutObj.m_ProcessingHeader.deltaHeight = newdelta |
|
188 | 206 | self.dataOutObj.m_ProcessingHeader.numHeights = buffer.shape[1] |
|
189 | 207 | |
|
190 | 208 | self.dataOutObj.nHeights = self.dataOutObj.m_ProcessingHeader.numHeights |
|
191 | 209 | |
|
192 | 210 | #self.dataOutObj.heightList es un numpy.array |
|
193 | 211 | self.dataOutObj.heightList = numpy.arange(self.dataOutObj.m_ProcessingHeader.firstHeight[0],newdelta*self.dataOutObj.nHeights,newdelta) |
|
194 | 212 | |
|
195 | 213 | def deFlip(self): |
|
196 | 214 | self.dataOutObj.data *= self.flipIndex |
|
197 | 215 | self.flipIndex *= -1. |
|
198 | 216 | |
|
199 | 217 | def selectChannels(self, channelList): |
|
200 | 218 | """ |
|
201 | 219 | Selecciona un bloque de datos en base a canales segun el channelList |
|
202 | 220 | |
|
203 | 221 | Input: |
|
204 | 222 | channelList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
205 | 223 | |
|
206 | 224 | Affected: |
|
207 | 225 | self.dataOutObj.data |
|
208 | 226 | self.dataOutObj.channelList |
|
209 | 227 | self.dataOutObj.nChannels |
|
210 | 228 | self.dataOutObj.m_ProcessingHeader.totalSpectra |
|
211 | 229 | self.dataOutObj.m_SystemHeader.numChannels |
|
212 | 230 | self.dataOutObj.m_ProcessingHeader.blockSize |
|
213 | 231 | |
|
214 | 232 | Return: |
|
215 | 233 | None |
|
216 | 234 | """ |
|
217 | 235 | if self.dataOutObj.flagNoData: |
|
218 | 236 | return 0 |
|
219 | 237 | |
|
220 | 238 | for channel in channelList: |
|
221 | 239 | if channel not in self.dataOutObj.channelList: |
|
222 | 240 | raise ValueError, "The value %d in channelList is not valid" %channel |
|
223 | 241 | |
|
224 | 242 | nChannels = len(channelList) |
|
225 | 243 | |
|
226 | 244 | data = self.dataOutObj.data[channelList,:] |
|
227 | 245 | |
|
228 | 246 | self.dataOutObj.data = data |
|
229 | 247 | self.dataOutObj.channelList = channelList |
|
230 | 248 | self.dataOutObj.nChannels = nChannels |
|
231 | 249 | |
|
232 | 250 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels |
|
233 | 251 | self.dataOutObj.m_SystemHeader.numChannels = nChannels |
|
234 | 252 | self.dataOutObj.m_ProcessingHeader.blockSize = data.size |
|
235 | 253 | return 1 |
|
236 | 254 | |
|
237 | 255 | |
|
238 | 256 | def selectHeightsByValue(self, minHei, maxHei): |
|
239 | 257 | """ |
|
240 | 258 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
241 | 259 | minHei <= height <= maxHei |
|
242 | 260 | |
|
243 | 261 | Input: |
|
244 | 262 | minHei : valor minimo de altura a considerar |
|
245 | 263 | maxHei : valor maximo de altura a considerar |
|
246 | 264 | |
|
247 | 265 | Affected: |
|
248 | 266 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
249 | 267 | |
|
250 | 268 | Return: |
|
251 | 269 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
252 | 270 | """ |
|
253 | 271 | if self.dataOutObj.flagNoData: |
|
254 | 272 | return 0 |
|
255 | 273 | |
|
256 | 274 | if (minHei < self.dataOutObj.heightList[0]) or (minHei > maxHei): |
|
257 | 275 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
258 | 276 | |
|
259 | 277 | if (maxHei > self.dataOutObj.heightList[-1]): |
|
260 | 278 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
261 | 279 | |
|
262 | 280 | minIndex = 0 |
|
263 | 281 | maxIndex = 0 |
|
264 | 282 | data = self.dataOutObj.heightList |
|
265 | 283 | |
|
266 | 284 | for i,val in enumerate(data): |
|
267 | 285 | if val < minHei: |
|
268 | 286 | continue |
|
269 | 287 | else: |
|
270 | 288 | minIndex = i; |
|
271 | 289 | break |
|
272 | 290 | |
|
273 | 291 | for i,val in enumerate(data): |
|
274 | 292 | if val <= maxHei: |
|
275 | 293 | maxIndex = i; |
|
276 | 294 | else: |
|
277 | 295 | break |
|
278 | 296 | |
|
279 | 297 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
280 | 298 | return 1 |
|
281 | 299 | |
|
282 | 300 | |
|
283 | 301 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
284 | 302 | """ |
|
285 | 303 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
286 | 304 | minIndex <= index <= maxIndex |
|
287 | 305 | |
|
288 | 306 | Input: |
|
289 | 307 | minIndex : valor de indice minimo de altura a considerar |
|
290 | 308 | maxIndex : valor de indice maximo de altura a considerar |
|
291 | 309 | |
|
292 | 310 | Affected: |
|
293 | 311 | self.dataOutObj.data |
|
294 | 312 | self.dataOutObj.heightList |
|
295 | 313 | self.dataOutObj.nHeights |
|
296 | 314 | self.dataOutObj.m_ProcessingHeader.blockSize |
|
297 | 315 | self.dataOutObj.m_ProcessingHeader.numHeights |
|
298 | 316 | self.dataOutObj.m_ProcessingHeader.firstHeight |
|
299 | 317 | self.dataOutObj.m_RadarControllerHeader |
|
300 | 318 | |
|
301 | 319 | Return: |
|
302 | 320 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
303 | 321 | """ |
|
304 | 322 | if self.dataOutObj.flagNoData: |
|
305 | 323 | return 0 |
|
306 | 324 | |
|
307 | 325 | if (minIndex < 0) or (minIndex > maxIndex): |
|
308 | 326 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
309 | 327 | |
|
310 | 328 | if (maxIndex >= self.dataOutObj.nHeights): |
|
311 | 329 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
312 | 330 | |
|
313 | 331 | nHeights = maxIndex - minIndex + 1 |
|
314 | 332 | |
|
315 | 333 | #voltage |
|
316 | 334 | data = self.dataOutObj.data[:,minIndex:maxIndex+1] |
|
317 | 335 | |
|
318 | 336 | firstHeight = self.dataOutObj.heightList[minIndex] |
|
319 | 337 | |
|
320 | 338 | self.dataOutObj.data = data |
|
321 | 339 | self.dataOutObj.heightList = self.dataOutObj.heightList[minIndex:maxIndex+1] |
|
322 | 340 | self.dataOutObj.nHeights = nHeights |
|
323 | 341 | self.dataOutObj.m_ProcessingHeader.blockSize = data.size |
|
324 | 342 | self.dataOutObj.m_ProcessingHeader.numHeights = nHeights |
|
325 | 343 | self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight |
|
326 | 344 | self.dataOutObj.m_RadarControllerHeader.numHeights = nHeights |
|
327 | 345 | return 1 |
|
328 | 346 | |
|
329 | 347 | def selectProfilesByValue(self,indexList, nProfiles): |
|
330 | 348 | if self.dataOutObj.flagNoData: |
|
331 | 349 | return 0 |
|
332 | 350 | |
|
333 | 351 | if self.profSelectorObjIndex >= len(self.profileSelectorObjList): |
|
334 | 352 | self.addProfileSelector(nProfiles) |
|
335 | 353 | |
|
336 | 354 | profileSelectorObj = self.profileSelectorObjList[self.profSelectorObjIndex] |
|
337 | 355 | |
|
338 | 356 | if not(profileSelectorObj.isProfileInList(indexList)): |
|
339 | 357 | self.dataOutObj.flagNoData = True |
|
340 | 358 | self.profSelectorObjIndex += 1 |
|
341 | 359 | return 0 |
|
342 | 360 | |
|
343 | 361 | self.dataOutObj.flagNoData = False |
|
344 | 362 | self.profSelectorObjIndex += 1 |
|
345 | 363 | |
|
346 | 364 | return 1 |
|
347 | 365 | |
|
348 | 366 | |
|
349 | 367 | def selectProfilesByIndex(self, minIndex, maxIndex, nProfiles): |
|
350 | 368 | """ |
|
351 | 369 | Selecciona un bloque de datos en base a un grupo indices de perfiles segun el rango |
|
352 | 370 | minIndex <= index <= maxIndex |
|
353 | 371 | |
|
354 | 372 | Input: |
|
355 | 373 | minIndex : valor de indice minimo de perfil a considerar |
|
356 | 374 | maxIndex : valor de indice maximo de perfil a considerar |
|
357 | 375 | nProfiles : numero de profiles |
|
358 | 376 | |
|
359 | 377 | Affected: |
|
360 | 378 | self.dataOutObj.flagNoData |
|
361 | 379 | self.profSelectorObjIndex |
|
362 | 380 | |
|
363 | 381 | Return: |
|
364 | 382 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
365 | 383 | """ |
|
366 | 384 | |
|
367 | 385 | if self.dataOutObj.flagNoData: |
|
368 | 386 | return 0 |
|
369 | 387 | |
|
370 | 388 | if self.profSelectorObjIndex >= len(self.profileSelectorObjList): |
|
371 | 389 | self.addProfileSelector(nProfiles) |
|
372 | 390 | |
|
373 | 391 | profileSelectorObj = self.profileSelectorObjList[self.profSelectorObjIndex] |
|
374 | 392 | |
|
375 | 393 | if not(profileSelectorObj.isProfileInRange(minIndex, maxIndex)): |
|
376 | 394 | self.dataOutObj.flagNoData = True |
|
377 | 395 | self.profSelectorObjIndex += 1 |
|
378 | 396 | return 0 |
|
379 | 397 | |
|
380 | 398 | self.dataOutObj.flagNoData = False |
|
381 | 399 | self.profSelectorObjIndex += 1 |
|
382 | 400 | |
|
383 | 401 | return 1 |
|
384 | 402 | |
|
385 | 403 | def selectNtxs(self, ntx): |
|
386 | 404 | pass |
|
387 | 405 | |
|
388 | 406 | |
|
389 | 407 | class Decoder: |
|
390 | 408 | |
|
391 | 409 | data = None |
|
392 | 410 | profCounter = 1 |
|
393 | 411 | nCode = None |
|
394 | 412 | nBaud = None |
|
395 | 413 | codeIndex = 0 |
|
396 | 414 | code = None |
|
397 | 415 | flag = False |
|
398 | 416 | |
|
399 | 417 | def __init__(self,code, ncode, nbaud): |
|
400 | 418 | |
|
401 | 419 | self.data = None |
|
402 | 420 | self.profCounter = 1 |
|
403 | 421 | self.nCode = ncode |
|
404 | 422 | self.nBaud = nbaud |
|
405 | 423 | self.codeIndex = 0 |
|
406 | 424 | self.code = code #this is a List |
|
407 | 425 | self.flag = False |
|
408 | 426 | |
|
409 | 427 | def exe(self, data, ndata=None, type = 0): |
|
410 | 428 | |
|
411 | 429 | if ndata == None: ndata = data.shape[1] |
|
412 | 430 | |
|
413 | 431 | if type == 0: |
|
414 | 432 | self.convolutionInFreq(data,ndata) |
|
415 | 433 | |
|
416 | 434 | if type == 1: |
|
417 | 435 | self.convolutionInTime(data, ndata) |
|
418 | 436 | |
|
419 | 437 | def convolutionInFreq(self,data, ndata): |
|
420 | 438 | |
|
421 | 439 | newcode = numpy.zeros(ndata) |
|
422 | 440 | newcode[0:self.nBaud] = self.code[self.codeIndex] |
|
423 | 441 | |
|
424 | 442 | self.codeIndex += 1 |
|
425 | 443 | |
|
426 | 444 | fft_data = numpy.fft.fft(data, axis=1) |
|
427 | 445 | fft_code = numpy.conj(numpy.fft.fft(newcode)) |
|
428 | 446 | fft_code = fft_code.reshape(1,len(fft_code)) |
|
429 | 447 | |
|
430 | 448 | conv = fft_data.copy() |
|
431 | 449 | conv.fill(0) |
|
432 | 450 | |
|
433 | 451 | conv = fft_data*fft_code |
|
434 | 452 | |
|
435 | 453 | self.data = numpy.fft.ifft(conv,axis=1) |
|
436 | 454 | self.flag = True |
|
437 | 455 | |
|
438 | 456 | if self.profCounter == self.nCode: |
|
439 | 457 | self.profCounter = 0 |
|
440 | 458 | self.codeIndex = 0 |
|
441 | 459 | |
|
442 | 460 | self.profCounter += 1 |
|
443 | 461 | |
|
444 | 462 | def convolutionInTime(self, data, ndata): |
|
445 | 463 | |
|
446 | 464 | nchannel = data.shape[1] |
|
447 | 465 | newcode = self.code[self.codeIndex] |
|
448 | 466 | self.codeIndex += 1 |
|
449 | 467 | conv = data.copy() |
|
450 | 468 | for i in range(nchannel): |
|
451 | 469 | conv[i,:] = numpy.correlate(data[i,:], newcode, 'same') |
|
452 | 470 | |
|
453 | 471 | self.data = conv |
|
454 | 472 | self.flag = True |
|
455 | 473 | |
|
456 | 474 | if self.profCounter == self.nCode: |
|
457 | 475 | self.profCounter = 0 |
|
458 | 476 | self.codeIndex = 0 |
|
459 | 477 | |
|
460 | 478 | self.profCounter += 1 |
|
461 | 479 | |
|
462 | 480 | |
|
463 | 481 | class CoherentIntegrator: |
|
464 | 482 | |
|
465 | 483 | profCounter = 1 |
|
466 | 484 | data = None |
|
467 | 485 | buffer = None |
|
468 | 486 | flag = False |
|
469 | 487 | nCohInt = None |
|
470 | 488 | |
|
471 | 489 | def __init__(self, N): |
|
472 | 490 | |
|
473 | 491 | self.profCounter = 1 |
|
474 | 492 | self.data = None |
|
475 | 493 | self.buffer = None |
|
476 | 494 | self.flag = False |
|
477 | 495 | self.nCohInt = N |
|
478 | 496 | |
|
479 | 497 | def exe(self, data): |
|
480 | 498 | |
|
481 | 499 | if self.buffer == None: |
|
482 | 500 | self.buffer = data |
|
483 | 501 | else: |
|
484 | 502 | self.buffer = self.buffer + data |
|
485 | 503 | |
|
486 | 504 | if self.profCounter == self.nCohInt: |
|
487 | 505 | self.data = self.buffer |
|
488 | 506 | self.buffer = None |
|
489 | 507 | self.profCounter = 0 |
|
490 | 508 | self.flag = True |
|
491 | 509 | else: |
|
492 | 510 | self.flag = False |
|
493 | 511 | |
|
494 | 512 | self.profCounter += 1 |
|
495 | 513 | |
|
496 | 514 | class ProfileSelector: |
|
497 | 515 | |
|
498 | 516 | profileIndex = None |
|
499 | 517 | # Tamanho total de los perfiles |
|
500 | 518 | nProfiles = None |
|
501 | 519 | |
|
502 | 520 | def __init__(self, nProfiles): |
|
503 | 521 | |
|
504 | 522 | self.profileIndex = 0 |
|
505 | 523 | self.nProfiles = nProfiles |
|
506 | 524 | |
|
507 | 525 | def incIndex(self): |
|
508 | 526 | self.profileIndex += 1 |
|
509 | 527 | |
|
510 | 528 | if self.profileIndex >= self.nProfiles: |
|
511 | 529 | self.profileIndex = 0 |
|
512 | 530 | |
|
513 | 531 | def isProfileInRange(self, minIndex, maxIndex): |
|
514 | 532 | |
|
515 | 533 | if self.profileIndex < minIndex: |
|
516 | 534 | return False |
|
517 | 535 | |
|
518 | 536 | if self.profileIndex > maxIndex: |
|
519 | 537 | return False |
|
520 | 538 | |
|
521 | 539 | return True |
|
522 | 540 | |
|
523 | 541 | def isProfileInList(self, profileList): |
|
524 | 542 | |
|
525 | 543 | if self.profileIndex not in profileList: |
|
526 | 544 | return False |
|
527 | 545 | |
|
528 | 546 | return True |
|
529 | 547 | |
|
530 | 548 | |
|
531 | 549 | No newline at end of file |
@@ -1,102 +1,102 | |||
|
1 | 1 | ''' |
|
2 | 2 | Created on 27/03/2012 |
|
3 | 3 | |
|
4 | 4 | @author $Author$ |
|
5 | 5 | @version $Id$ |
|
6 | 6 | ''' |
|
7 | 7 | import os, sys |
|
8 | 8 | import time, datetime |
|
9 | 9 | |
|
10 | 10 | from Model.Voltage import Voltage |
|
11 | 11 | from IO.VoltageIO import * |
|
12 | 12 | #from Graphics.VoltagePlot import Osciloscope |
|
13 | 13 | |
|
14 | 14 | from Model.Spectra import Spectra |
|
15 | 15 | from IO.SpectraIO import * |
|
16 | 16 | |
|
17 | 17 | from Processing.VoltageProcessor import * |
|
18 | 18 | from Processing.SpectraProcessor import * |
|
19 | 19 | |
|
20 | 20 | class TestSChain(): |
|
21 | 21 | |
|
22 | 22 | def __init__(self): |
|
23 | 23 | self.setValues() |
|
24 | 24 | self.createObjects() |
|
25 | 25 | self.testSChain() |
|
26 | 26 | |
|
27 | 27 | |
|
28 | 28 | def setValues( self ): |
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29 | 29 | |
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30 | 30 | self.path = "/home/dsuarez/Projects" #1 |
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31 | self.path = "/home/roj-idl71/Data/RAWDATA/IMAGING" | |
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31 | self.path = "/Users/jro/Documents/RadarData/EW_Drifts" | |
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32 | 32 | # self.startDateTime = datetime.datetime(2007,5,1,15,49,0) |
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33 | 33 | # self.endDateTime = datetime.datetime(2007,5,1,23,0,0) |
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34 | 34 | |
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35 |
self.startDateTime = datetime.datetime(2011,1 |
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36 |
self.endDateTime = datetime.datetime(2011,1 |
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35 | self.startDateTime = datetime.datetime(2011,11,20,0,0,0) | |
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36 | self.endDateTime = datetime.datetime(2011,12,31,0,20,0) | |
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37 | 37 | self.N = 10 |
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38 | 38 | self.npts = 1024 |
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39 | 39 | |
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40 | 40 | def createObjects( self ): |
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41 | 41 | |
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42 | 42 | self.voltObj1 = Voltage() |
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43 | 43 | self.voltObj2 = Voltage() |
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44 | 44 | self.specObj1 = Spectra() |
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45 | 45 | |
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46 | 46 | self.readerObj = VoltageReader(self.voltObj1) |
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47 | 47 | self.voltProcObj = VoltageProcessor(self.voltObj1, self.voltObj2) |
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48 | 48 | self.specProcObj = SpectraProcessor(self.voltObj2, self.specObj1) |
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49 | 49 | |
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50 | 50 | |
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51 | 51 | #self.plotObj = Osciloscope(self.voltObj1) |
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52 | 52 | |
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53 | 53 | if not(self.readerObj.setup( self.path, self.startDateTime, self.endDateTime, expLabel='', online =0) ): |
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54 | 54 | sys.exit(0) |
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55 | 55 | |
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56 | 56 | # if not(self.readerObj.setup(self.path, self.startDateTime, self.endDateTime)): |
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57 | 57 | # sys.exit(0) |
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58 | 58 | |
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59 | 59 | def testSChain( self ): |
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60 | 60 | |
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61 | 61 | ini = time.time() |
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62 | 62 | while(True): |
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63 | 63 | self.readerObj.getData() |
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64 | 64 | |
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65 | 65 | self.voltProcObj.init() |
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66 | 66 | |
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67 | 67 | # self.voltProcObj.plotData(idProfile = 1, type='iq', ymin=-25000, ymax=25000, winTitle='sin decodificar') |
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68 | 68 | |
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69 | self.voltProcObj.decoder(type=0) | |
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69 | # self.voltProcObj.decoder(type=0) | |
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70 | 70 | |
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71 | 71 | # self.voltProcObj.plotData(idProfile = 1, type='iq', ymin=-70000, ymax=70000,winTitle='Decodificado') |
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72 | 72 | # |
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73 | 73 | self.voltProcObj.integrator(self.N) |
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74 | 74 | |
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75 | 75 | # self.voltProcObj.plotData(idProfile = 1, type='iq', ymin=-700000, ymax=700000,winTitle='figura 3') |
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76 | 76 | |
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77 | 77 | self.specProcObj.init(self.npts) |
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78 | 78 | |
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79 | 79 | self.specProcObj.integrator(2) |
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80 | 80 | |
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81 | 81 | self.specProcObj.plotData(winTitle='Spectra 1', index=0) |
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82 | 82 | |
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83 | 83 | # if self.readerObj.getData(): |
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84 | 84 | # self.plotObj.plotData(idProfile=0, type='power' ) |
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85 | 85 | # |
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86 | 86 | # |
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87 | 87 | if self.readerObj.flagNoMoreFiles: |
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88 | 88 | break |
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89 | 89 | # |
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90 | 90 | if self.readerObj.flagIsNewBlock: |
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91 | 91 | print 'Block No %04d, Time: %s' %(self.readerObj.nTotalBlocks, |
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92 | 92 | datetime.datetime.fromtimestamp(self.readerObj.m_BasicHeader.utc),) |
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93 | 93 | |
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94 | 94 | # fin = time.time() |
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95 | 95 | # print 'Tiempo de un bloque leido y escrito: [%6.5f]' %(fin - ini) |
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96 | 96 | # ini = time.time() |
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97 | 97 | |
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98 | 98 | #time.sleep(0.5) |
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99 | 99 | # self.plotObj.end() |
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100 | 100 | |
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101 | 101 | if __name__ == '__main__': |
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102 | 102 | TestSChain() No newline at end of file |
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