@@ -1,559 +1,566 | |||
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1 | 1 | ''' |
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2 | 2 | File: SpectraIO.py |
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3 | 3 | Created on 20/02/2012 |
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4 | 4 | |
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5 | 5 | @author $Author$ |
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6 | 6 | @version $Id$ |
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7 | 7 | ''' |
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8 | 8 | |
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9 | 9 | import os, sys |
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10 | 10 | import numpy |
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11 | 11 | import glob |
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12 | 12 | import fnmatch |
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13 | 13 | import time, datetime |
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14 | 14 | |
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15 | 15 | path = os.path.split(os.getcwd())[0] |
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16 | 16 | sys.path.append(path) |
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17 | 17 | |
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18 | 18 | from Model.JROHeader import * |
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19 | 19 | from Model.Spectra import Spectra |
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20 | 20 | |
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21 | 21 | from DataIO import JRODataReader |
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22 | 22 | from DataIO import JRODataWriter |
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23 | 23 | from DataIO import isNumber |
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24 | 24 | |
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25 | 25 | |
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26 | 26 | class SpectraReader( JRODataReader ): |
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27 | 27 | """ |
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28 | 28 | Esta clase permite leer datos de espectros desde archivos procesados (.pdata). La lectura |
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29 | 29 | de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones) |
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30 | 30 | son almacenados en tres buffer's para el Self Spectra, el Cross Spectra y el DC Channel. |
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31 | 31 | |
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32 | 32 | paresCanalesIguales * alturas * perfiles (Self Spectra) |
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33 | 33 | paresCanalesDiferentes * alturas * perfiles (Cross Spectra) |
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34 | 34 | canales * alturas (DC Channels) |
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35 | 35 | |
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36 | 36 | Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader, |
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37 | 37 | RadarControllerHeader y Spectra. Los tres primeros se usan para almacenar informacion de la |
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38 | 38 | cabecera de datos (metadata), y el cuarto (Spectra) para obtener y almacenar un bloque de |
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39 | 39 | datos desde el "buffer" cada vez que se ejecute el metodo "getData". |
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40 | 40 | |
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41 | 41 | Example: |
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42 | 42 | dpath = "/home/myuser/data" |
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43 | 43 | |
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44 | 44 | startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0) |
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45 | 45 | |
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46 | 46 | endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0) |
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47 | 47 | |
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48 | 48 | readerObj = SpectraReader() |
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49 | 49 | |
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50 | 50 | readerObj.setup(dpath, startTime, endTime) |
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51 | 51 | |
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52 | 52 | while(True): |
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53 | 53 | |
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54 | 54 | readerObj.getData() |
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55 | 55 | |
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56 | 56 | print readerObj.m_Spectra.data |
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57 | 57 | |
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58 | 58 | if readerObj.flagNoMoreFiles: |
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59 | 59 | break |
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60 | 60 | |
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61 | 61 | """ |
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62 | 62 | m_DataObj = None |
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63 | 63 | |
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64 | 64 | data_spc = None |
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65 | 65 | data_cspc = None |
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66 | 66 | data_dc = None |
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67 | 67 | |
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68 | 68 | pts2read_SelfSpectra = 0 |
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69 | 69 | pts2read_CrossSpectra = 0 |
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70 | 70 | pts2read_DCchannels = 0 |
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71 | 71 | |
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72 | 72 | nChannels = 0 |
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73 | 73 | |
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74 | 74 | nPairs = 0 |
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75 | 75 | |
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76 | pairList = None | |
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76 | #pairList = None | |
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77 | 77 | |
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78 | channelList = None | |
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78 | 79 | |
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79 | 80 | def __init__(self, m_Spectra=None): |
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80 | 81 | """ |
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81 | 82 | Inicializador de la clase SpectraReader para la lectura de datos de espectros. |
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82 | 83 | |
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83 | 84 | Inputs: |
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84 | 85 | m_Spectra : Objeto de la clase Spectra. Este objeto sera utilizado para |
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85 | 86 | almacenar un perfil de datos cada vez que se haga un requerimiento |
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86 | 87 | (getData). El perfil sera obtenido a partir del buffer de datos, |
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87 | 88 | si el buffer esta vacio se hara un nuevo proceso de lectura de un |
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88 | 89 | bloque de datos. |
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89 | 90 | Si este parametro no es pasado se creara uno internamente. |
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90 | 91 | |
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91 | 92 | Affected: |
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92 | 93 | self.m_DataObj |
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93 | 94 | |
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94 | 95 | Return : None |
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95 | 96 | """ |
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96 | 97 | if m_Spectra == None: |
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97 | 98 | m_Spectra = Spectra() |
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98 | 99 | |
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99 | 100 | if not( isinstance(m_Spectra, Spectra) ): |
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100 | 101 | raise ValueError, "in SpectraReader, m_Spectra must be an Spectra class object" |
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101 | 102 | |
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102 | 103 | self.m_DataObj = m_Spectra |
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103 | 104 | |
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104 | 105 | self.data_spc = None |
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105 | 106 | self.data_cspc = None |
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106 | 107 | self.data_dc = None |
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107 | 108 | |
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108 | 109 | self.pts2read_SelfSpectra = 0 |
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109 | 110 | self.pts2read_CrossSpectra = 0 |
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110 |
self.pts2read_DC |
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111 | self.pts2read_DCs = 0 | |
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111 | 112 | |
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112 | 113 | self.nChannels = 0 |
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113 | 114 | |
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114 | 115 | self.nPairs = 0 |
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115 | 116 | |
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116 | 117 | self.ext = ".pdata" |
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117 | 118 | |
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118 | 119 | self.optchar = "P" |
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119 | 120 | |
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120 | 121 | ###################### |
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121 | 122 | |
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122 | 123 | self.m_BasicHeader = BasicHeader() |
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123 | 124 | |
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124 | 125 | self.m_SystemHeader = SystemHeader() |
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125 | 126 | |
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126 | 127 | self.m_RadarControllerHeader = RadarControllerHeader() |
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127 | 128 | |
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128 | 129 | self.m_ProcessingHeader = ProcessingHeader() |
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129 | 130 | |
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130 | 131 | self.online = 0 |
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131 | 132 | |
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132 | 133 | self.fp = None |
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133 | 134 | |
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134 | 135 | self.fileSizeByHeader = None |
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135 | 136 | |
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136 | 137 | self.filenameList = [] |
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137 | 138 | |
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138 | 139 | self.filename = None |
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139 | 140 | |
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140 | 141 | self.fileSize = None |
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141 | 142 | |
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142 | 143 | self.firstHeaderSize = 0 |
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143 | 144 | |
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144 | 145 | self.basicHeaderSize = 24 |
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145 | 146 | |
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146 | 147 | self.dataType = None |
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147 | 148 | |
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148 | 149 | self.maxTimeStep = 30 |
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149 | 150 | |
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150 | 151 | self.flagNoMoreFiles = 0 |
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151 | 152 | |
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152 | 153 | self.set = 0 |
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153 | 154 | |
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154 | 155 | self.path = None |
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155 | 156 | |
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156 | 157 | self.delay = 3 #seconds |
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157 | 158 | |
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158 | 159 | self.nTries = 3 #quantity tries |
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159 | 160 | |
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160 | 161 | self.nFiles = 3 #number of files for searching |
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161 | 162 | |
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162 | 163 | self.nBlocks = 0 |
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163 | 164 | |
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164 | 165 | self.flagIsNewFile = 1 |
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165 | 166 | |
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166 | 167 | self.ippSeconds = 0 |
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167 | 168 | |
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168 | 169 | self.flagResetProcessing = 0 |
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169 | 170 | |
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170 | 171 | self.flagIsNewBlock = 0 |
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171 | 172 | |
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172 | 173 | self.nReadBlocks = 0 |
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173 | 174 | |
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174 | 175 | self.blocksize = 0 |
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175 | 176 | |
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176 | pairList = None | |
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177 | #pairList = None | |
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178 | ||
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179 | channelList = None | |
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177 | 180 | |
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178 | 181 | |
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179 | 182 | def __hasNotDataInBuffer(self): |
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180 | 183 | return 1 |
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181 | 184 | |
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182 | 185 | |
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183 | 186 | def getBlockDimension(self): |
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184 | 187 | """ |
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185 | 188 | Obtiene la cantidad de puntos a leer por cada bloque de datos |
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186 | 189 | |
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187 | 190 | Affected: |
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188 | 191 | self.nChannels |
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189 | 192 | self.nPairs |
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190 | 193 | self.pts2read_SelfSpectra |
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191 | 194 | self.pts2read_CrossSpectra |
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192 | 195 | self.pts2read_DCchannels |
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193 | 196 | self.blocksize |
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194 | 197 | self.m_DataObj.nChannels |
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195 | 198 | self.m_DataObj.nPairs |
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196 | 199 | |
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197 | 200 | Return: |
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198 | 201 | None |
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199 | 202 | """ |
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200 | 203 | self.nChannels = 0 |
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201 | 204 | self.nPairs = 0 |
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205 | #self.pairList = [] | |
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202 | 206 | |
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203 | 207 | for i in range( 0, self.m_ProcessingHeader.totalSpectra*2, 2 ): |
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204 | 208 | if self.m_ProcessingHeader.spectraComb[i] == self.m_ProcessingHeader.spectraComb[i+1]: |
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205 | 209 | self.nChannels = self.nChannels + 1 #par de canales iguales |
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206 | 210 | else: |
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207 | 211 | self.nPairs = self.nPairs + 1 #par de canales diferentes |
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208 | ||
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212 | #self.pairList.append( (self.m_ProcessingHeader.spectraComb[i], self.m_ProcessingHeader.spectraComb[i+1]) ) | |
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213 | ||
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209 | 214 | pts2read = self.m_ProcessingHeader.numHeights * self.m_ProcessingHeader.profilesPerBlock |
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210 | 215 | |
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211 | 216 | self.pts2read_SelfSpectra = int( self.nChannels * pts2read ) |
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212 | 217 | self.pts2read_CrossSpectra = int( self.nPairs * pts2read ) |
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213 | 218 | self.pts2read_DCchannels = int( self.m_SystemHeader.numChannels * self.m_ProcessingHeader.numHeights ) |
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214 | 219 | |
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215 | 220 | self.blocksize = self.pts2read_SelfSpectra + self.pts2read_CrossSpectra + self.pts2read_DCchannels |
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216 | 221 | |
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217 | 222 | self.m_DataObj.nPoints = self.m_ProcessingHeader.profilesPerBlock |
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218 | 223 | self.m_DataObj.nChannels = self.nChannels |
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219 | 224 | self.m_DataObj.nPairs = self.nPairs |
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220 | 225 | |
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221 |
self.pairList = |
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226 | #self.pairList = tuple( self.pairList ) | |
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227 | self.channelList = numpy.arange( self.nChannels ) | |
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222 | 228 | |
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223 | 229 | |
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224 | 230 | def readBlock(self): |
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225 | 231 | """ |
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226 | 232 | Lee el bloque de datos desde la posicion actual del puntero del archivo |
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227 | 233 | (self.fp) y actualiza todos los parametros relacionados al bloque de datos |
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228 | 234 | (metadata + data). La data leida es almacenada en el buffer y el contador del buffer |
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229 | 235 | es seteado a 0 |
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230 | 236 | |
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231 | 237 | Return: None |
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232 | 238 | |
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233 | 239 | Variables afectadas: |
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234 | 240 | self.datablockIndex |
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235 | 241 | self.flagIsNewFile |
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236 | 242 | self.flagIsNewBlock |
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237 | 243 | self.nReadBlocks |
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238 | 244 | self.data_spc |
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239 | 245 | self.data_cspc |
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240 | 246 | self.data_dc |
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241 | 247 | |
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242 | 248 | Exceptions: |
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243 | 249 | Si un bloque leido no es un bloque valido |
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244 | 250 | """ |
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245 | 251 | blockOk_flag = False |
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246 | 252 | fpointer = self.fp.tell() |
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247 | 253 | |
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248 | 254 | spc = numpy.fromfile( self.fp, self.dataType[0], self.pts2read_SelfSpectra ) |
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249 | 255 | cspc = numpy.fromfile( self.fp, self.dataType, self.pts2read_CrossSpectra ) |
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250 | 256 | dc = numpy.fromfile( self.fp, self.dataType, self.pts2read_DCchannels ) #int(self.m_ProcessingHeader.numHeights*self.m_SystemHeader.numChannels) ) |
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251 | 257 | |
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252 | 258 | if self.online: |
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253 | 259 | if (spc.size + cspc.size + dc.size) != self.blocksize: |
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254 | 260 | for nTries in range( self.nTries ): |
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255 | 261 | print "\tWaiting %0.2f sec for the next block, try %03d ..." % (self.delay, nTries+1) |
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256 | 262 | time.sleep( self.delay ) |
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257 | 263 | self.fp.seek( fpointer ) |
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258 | 264 | fpointer = self.fp.tell() |
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259 | 265 | |
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260 | 266 | spc = numpy.fromfile( self.fp, self.dataType[0], self.pts2read_SelfSpectra ) |
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261 | 267 | cspc = numpy.fromfile( self.fp, self.dataType, self.pts2read_CrossSpectra ) |
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262 | 268 | dc = numpy.fromfile( self.fp, self.dataType, self.pts2read_DCchannels ) #int(self.m_ProcessingHeader.numHeights*self.m_SystemHeader.numChannels) ) |
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263 | 269 | |
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264 | 270 | if (spc.size + cspc.size + dc.size) == self.blocksize: |
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265 | 271 | blockOk_flag = True |
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266 | 272 | break |
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267 | 273 | |
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268 | 274 | if not( blockOk_flag ): |
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269 | 275 | return 0 |
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270 | 276 | |
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271 | 277 | try: |
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272 | 278 | spc = spc.reshape( (self.nChannels, self.m_ProcessingHeader.numHeights, self.m_ProcessingHeader.profilesPerBlock) ) #transforma a un arreglo 3D |
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273 | 279 | if self.nPairs != 0: |
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274 | 280 | cspc = cspc.reshape( (self.nPairs, self.m_ProcessingHeader.numHeights, self.m_ProcessingHeader.profilesPerBlock) ) #transforma a un arreglo 3D |
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275 | 281 | else: |
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276 | 282 | cspc = None |
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277 | 283 | dc = dc.reshape( (self.m_SystemHeader.numChannels, self.m_ProcessingHeader.numHeights) ) #transforma a un arreglo 2D |
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278 | 284 | except: |
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279 | 285 | print "Data file %s is invalid" % self.filename |
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280 | 286 | return 0 |
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281 | 287 | |
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282 | 288 | if not( self.m_ProcessingHeader.shif_fft ): |
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283 | 289 | spc = numpy.roll( spc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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284 | 290 | if cspc != None: |
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285 | 291 | cspc = numpy.roll( cspc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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286 | 292 | |
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287 | 293 | spc = numpy.transpose( spc, (0,2,1) ) |
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288 | 294 | if cspc != None: cspc = numpy.transpose( cspc, (0,2,1) ) |
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289 | 295 | |
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290 | 296 | self.data_spc = spc |
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291 | 297 | if cspc != None: |
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292 | 298 | self.data_cspc = cspc['real'] + cspc['imag']*1j |
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293 | 299 | else: |
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294 | 300 | self.data_cspc = None |
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295 | 301 | self.data_dc = dc['real'] + dc['imag']*1j |
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296 | 302 | |
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297 | 303 | self.datablockIndex = 0 |
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298 | 304 | self.flagIsNewFile = 0 |
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299 | 305 | self.flagIsNewBlock = 1 |
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300 | 306 | |
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301 | 307 | self.nReadBlocks += 1 |
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302 | 308 | self.nBlocks += 1 |
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303 | 309 | |
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304 | 310 | return 1 |
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305 | 311 | |
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306 | 312 | |
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307 | 313 | def getData(self): |
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308 | 314 | """ |
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309 | 315 | Copia el buffer de lectura a la clase "Spectra", |
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310 | 316 | con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de |
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311 | 317 | lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock" |
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312 | 318 | |
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313 | 319 | Return: |
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314 | 320 | 0 : Si no hay mas archivos disponibles |
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315 | 321 | 1 : Si hizo una buena copia del buffer |
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316 | 322 | |
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317 | 323 | Affected: |
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318 | 324 | self.m_DataObj |
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319 | 325 | self.datablockIndex |
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320 | 326 | self.flagResetProcessing |
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321 | 327 | self.flagIsNewBlock |
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322 | 328 | """ |
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323 | 329 | |
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324 | 330 | if self.flagNoMoreFiles: return 0 |
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325 | 331 | |
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326 | 332 | self.flagResetProcessing = 0 |
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327 | 333 | self.flagIsNewBlock = 0 |
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328 | 334 | |
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329 | 335 | if self.__hasNotDataInBuffer(): |
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330 | 336 | |
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331 | 337 | if not( self.readNextBlock() ): |
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332 | 338 | self.setNextFile() |
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333 | 339 | return 0 |
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334 | 340 | |
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335 | 341 | self.m_DataObj.m_BasicHeader = self.m_BasicHeader.copy() |
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336 | 342 | self.m_DataObj.m_ProcessingHeader = self.m_ProcessingHeader.copy() |
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337 | 343 | self.m_DataObj.m_RadarControllerHeader = self.m_RadarControllerHeader.copy() |
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338 | 344 | self.m_DataObj.m_SystemHeader = self.m_SystemHeader.copy() |
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339 | 345 | self.m_DataObj.heightList = self.heightList |
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340 | 346 | self.m_DataObj.dataType = self.dataType |
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341 | 347 | |
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342 | 348 | if self.flagNoMoreFiles == 1: |
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343 | 349 | print 'Process finished' |
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344 | 350 | return 0 |
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345 | 351 | |
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346 | 352 | #data es un numpy array de 3 dmensiones (perfiles, alturas y canales) |
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347 | 353 | |
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348 | 354 | if self.data_dc == None: |
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349 | 355 | self.m_DataObj.flagNoData = True |
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350 | 356 | return 0 |
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351 | 357 | |
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352 | 358 | self.m_DataObj.flagNoData = False |
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353 | 359 | self.m_DataObj.flagResetProcessing = self.flagResetProcessing |
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354 | 360 | |
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355 | 361 | self.m_DataObj.data_spc = self.data_spc |
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356 | 362 | self.m_DataObj.data_cspc = self.data_cspc |
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357 | 363 | self.m_DataObj.data_dc = self.data_dc |
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358 | 364 | |
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359 | 365 | return 1 |
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360 | 366 | |
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361 | 367 | |
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362 | 368 | class SpectraWriter(JRODataWriter): |
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363 | 369 | |
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364 | 370 | """ |
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365 | 371 | Esta clase permite escribir datos de espectros a archivos procesados (.pdata). La escritura |
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366 | 372 | de los datos siempre se realiza por bloques. |
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367 | 373 | """ |
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368 | 374 | |
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369 | 375 | m_DataObj = None |
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370 | 376 | |
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371 | 377 | shape_spc_Buffer = None |
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372 | 378 | shape_cspc_Buffer = None |
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373 | 379 | shape_dc_Buffer = None |
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374 | 380 | |
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375 | 381 | data_spc = None |
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376 | 382 | data_cspc = None |
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377 | 383 | data_dc = None |
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378 | 384 | |
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379 | 385 | |
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380 | 386 | def __init__(self, m_Spectra=None): |
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381 | 387 | """ |
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382 | 388 | Inicializador de la clase SpectraWriter para la escritura de datos de espectros. |
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383 | 389 | |
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384 | 390 | Affected: |
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385 | 391 | self.m_DataObj |
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386 | 392 | self.m_BasicHeader |
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387 | 393 | self.m_SystemHeader |
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388 | 394 | self.m_RadarControllerHeader |
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389 | 395 | self.m_ProcessingHeader |
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390 | 396 | |
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391 | 397 | Return: None |
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392 | 398 | """ |
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393 | 399 | if m_Spectra == None: |
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394 | 400 | m_Spectra = Spectra() |
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395 | 401 | |
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396 | 402 | if not( isinstance(m_Spectra, Spectra) ): |
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397 | 403 | raise ValueError, "in SpectraReader, m_Spectra must be an Spectra class object" |
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398 | 404 | |
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399 | 405 | self.m_DataObj = m_Spectra |
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400 | 406 | |
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401 | 407 | self.ext = ".pdata" |
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402 | 408 | |
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403 | 409 | self.optchar = "P" |
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404 | 410 | |
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405 | 411 | self.shape_spc_Buffer = None |
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406 | 412 | self.shape_cspc_Buffer = None |
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407 | 413 | self.shape_dc_Buffer = None |
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408 | 414 | |
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409 | 415 | self.data_spc = None |
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410 | 416 | self.data_cspc = None |
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411 | 417 | self.data_dc = None |
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412 | 418 | |
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413 | 419 | #################################### |
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414 | 420 | |
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415 | 421 | self.fp = None |
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416 | 422 | |
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417 | 423 | self.blocksCounter = 0 |
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418 | 424 | |
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419 | 425 | self.flagIsNewFile = 1 |
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420 | 426 | |
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421 | 427 | self.nWriteBlocks = 0 |
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422 | 428 | |
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423 | 429 | self.flagIsNewBlock = 0 |
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424 | 430 | |
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425 | 431 | self.flagNoMoreFiles = 0 |
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426 | 432 | |
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427 | 433 | self.setFile = None |
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428 | 434 | |
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429 | 435 | self.dataType = None |
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430 | 436 | |
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431 | 437 | self.path = None |
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432 | 438 | |
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433 | 439 | self.noMoreFiles = 0 |
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434 | 440 | |
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435 | 441 | self.filename = None |
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436 | 442 | |
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437 | 443 | self.m_BasicHeader= BasicHeader() |
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438 | 444 | |
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439 | 445 | self.m_SystemHeader = SystemHeader() |
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440 | 446 | |
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441 | 447 | self.m_RadarControllerHeader = RadarControllerHeader() |
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442 | 448 | |
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443 | 449 | self.m_ProcessingHeader = ProcessingHeader() |
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444 | 450 | |
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445 | 451 | |
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446 | 452 | def hasAllDataInBuffer(self): |
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447 | 453 | return 1 |
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448 | 454 | |
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449 | 455 | |
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450 | 456 | def setBlockDimension(self): |
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451 | 457 | """ |
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452 | 458 | Obtiene las formas dimensionales del los subbloques de datos que componen un bloque |
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453 | 459 | |
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454 | 460 | Affected: |
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455 | 461 | self.shape_spc_Buffer |
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456 | 462 | self.shape_cspc_Buffer |
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457 | 463 | self.shape_dc_Buffer |
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458 | 464 | |
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459 | 465 | Return: None |
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460 | 466 | """ |
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461 | 467 | self.shape_spc_Buffer = (self.m_DataObj.nChannels, |
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462 | 468 | self.m_ProcessingHeader.numHeights, |
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463 | 469 | self.m_ProcessingHeader.profilesPerBlock) |
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464 | 470 | |
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465 | 471 | self.shape_cspc_Buffer = (self.m_DataObj.nPairs, |
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466 | 472 | self.m_ProcessingHeader.numHeights, |
|
467 | 473 | self.m_ProcessingHeader.profilesPerBlock) |
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468 | 474 | |
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469 | 475 | self.shape_dc_Buffer = (self.m_SystemHeader.numChannels, |
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470 | 476 | self.m_ProcessingHeader.numHeights) |
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471 | 477 | |
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472 | 478 | |
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473 | 479 | def writeBlock(self): |
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474 | 480 | """ |
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475 | 481 | Escribe el buffer en el file designado |
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476 | 482 | |
|
477 | 483 | Affected: |
|
478 | 484 | self.data_spc |
|
479 | 485 | self.data_cspc |
|
480 | 486 | self.data_dc |
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481 | 487 | self.flagIsNewFile |
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482 | 488 | self.flagIsNewBlock |
|
483 | 489 | self.nWriteBlocks |
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484 | 490 | self.blocksCounter |
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485 | 491 | |
|
486 | 492 | Return: None |
|
487 | 493 | """ |
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488 | 494 | |
|
489 | 495 | spc = numpy.transpose( self.data_spc, (0,2,1) ) |
|
490 | 496 | if not( self.m_ProcessingHeader.shif_fft ): |
|
491 | 497 | spc = numpy.roll( spc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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492 | 498 | data = spc.reshape((-1)) |
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493 | 499 | data.tofile(self.fp) |
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494 | 500 | |
|
495 | 501 | if self.data_cspc != None: |
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496 | 502 | data = numpy.zeros( self.shape_cspc_Buffer, self.dataType ) |
|
497 | 503 | cspc = numpy.transpose( self.data_cspc, (0,2,1) ) |
|
498 | 504 | if not( self.m_ProcessingHeader.shif_fft ): |
|
499 | 505 | cspc = numpy.roll( cspc, self.m_ProcessingHeader.profilesPerBlock/2, axis=2 ) #desplaza a la derecha en el eje 2 determinadas posiciones |
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500 | 506 | data['real'] = cspc.real |
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501 | 507 | data['imag'] = cspc.imag |
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502 | 508 | data = data.reshape((-1)) |
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503 | 509 | data.tofile(self.fp) |
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504 | 510 | |
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505 | 511 | data = numpy.zeros( self.shape_dc_Buffer, self.dataType ) |
|
506 | 512 | dc = self.data_dc |
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507 | 513 | data['real'] = dc.real |
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508 | 514 | data['imag'] = dc.imag |
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509 | 515 | data = data.reshape((-1)) |
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510 | 516 | data.tofile(self.fp) |
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511 | 517 | |
|
512 | 518 | self.data_spc.fill(0) |
|
513 | self.data_cspc.fill(0) | |
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514 | 519 | self.data_dc.fill(0) |
|
520 | if self.data_cspc != None: | |
|
521 | self.data_cspc.fill(0) | |
|
515 | 522 | |
|
516 | 523 | self.flagIsNewFile = 0 |
|
517 | 524 | self.flagIsNewBlock = 1 |
|
518 | 525 | self.nWriteBlocks += 1 |
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519 | 526 | self.blocksCounter += 1 |
|
520 | 527 | |
|
521 | 528 | |
|
522 | 529 | def putData(self): |
|
523 | 530 | """ |
|
524 | 531 | Setea un bloque de datos y luego los escribe en un file |
|
525 | 532 | |
|
526 | 533 | Affected: |
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527 | 534 | self.data_spc |
|
528 | 535 | self.data_cspc |
|
529 | 536 | self.data_dc |
|
530 | 537 | |
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531 | 538 | Return: |
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532 | 539 | 0 : Si no hay data o no hay mas files que puedan escribirse |
|
533 | 540 | 1 : Si se escribio la data de un bloque en un file |
|
534 | 541 | """ |
|
535 | 542 | self.flagIsNewBlock = 0 |
|
536 | 543 | |
|
537 | 544 | if self.m_DataObj.flagNoData: |
|
538 | 545 | return 0 |
|
539 | 546 | |
|
540 | 547 | if self.m_DataObj.flagResetProcessing: |
|
541 | 548 | self.data_spc.fill(0) |
|
542 | 549 | self.data_cspc.fill(0) |
|
543 | 550 | self.data_dc.fill(0) |
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544 | 551 | self.setNextFile() |
|
545 | 552 | |
|
546 | 553 | self.data_spc = self.m_DataObj.data_spc |
|
547 | 554 | self.data_cspc = self.m_DataObj.data_cspc |
|
548 | 555 | self.data_dc = self.m_DataObj.data_dc |
|
549 | 556 | |
|
550 | 557 | # #self.m_ProcessingHeader.dataBlocksPerFile) |
|
551 | 558 | if self.hasAllDataInBuffer(): |
|
552 | 559 | self.getHeader() |
|
553 | 560 | self.writeNextBlock() |
|
554 | 561 | |
|
555 | 562 | if self.flagNoMoreFiles: |
|
556 | 563 | #print 'Process finished' |
|
557 | 564 | return 0 |
|
558 | 565 | |
|
559 | 566 | return 1 No newline at end of file |
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