@@ -1,735 +1,757 | |||
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1 | 1 | ''' |
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2 | 2 | |
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3 | 3 | $Author: murco $ |
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4 | 4 | $Id: JROHeaderIO.py 151 2012-10-31 19:00:51Z murco $ |
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5 | 5 | ''' |
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6 | 6 | import numpy |
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7 | 7 | import copy |
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8 | 8 | import datetime |
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9 | 9 | |
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10 | 10 | SPEED_OF_LIGHT = 299792458 |
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11 | 11 | SPEED_OF_LIGHT = 3e8 |
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12 | 12 | |
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13 | 13 | BASIC_STRUCTURE = numpy.dtype([ |
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14 | 14 | ('nSize','<u4'), |
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15 | 15 | ('nVersion','<u2'), |
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16 | 16 | ('nDataBlockId','<u4'), |
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17 | 17 | ('nUtime','<u4'), |
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18 | 18 | ('nMilsec','<u2'), |
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19 | 19 | ('nTimezone','<i2'), |
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20 | 20 | ('nDstflag','<i2'), |
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21 | 21 | ('nErrorCount','<u4') |
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22 | 22 | ]) |
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23 | 23 | |
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24 | 24 | SYSTEM_STRUCTURE = numpy.dtype([ |
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25 | 25 | ('nSize','<u4'), |
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26 | 26 | ('nNumSamples','<u4'), |
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27 | 27 | ('nNumProfiles','<u4'), |
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28 | 28 | ('nNumChannels','<u4'), |
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29 | 29 | ('nADCResolution','<u4'), |
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30 | 30 | ('nPCDIOBusWidth','<u4'), |
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31 | 31 | ]) |
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32 | 32 | |
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33 | 33 | RADAR_STRUCTURE = numpy.dtype([ |
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34 | 34 | ('nSize','<u4'), |
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35 | 35 | ('nExpType','<u4'), |
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36 | 36 | ('nNTx','<u4'), |
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37 | 37 | ('fIpp','<f4'), |
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38 | 38 | ('fTxA','<f4'), |
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39 | 39 | ('fTxB','<f4'), |
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40 | 40 | ('nNumWindows','<u4'), |
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41 | 41 | ('nNumTaus','<u4'), |
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42 | 42 | ('nCodeType','<u4'), |
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43 | 43 | ('nLine6Function','<u4'), |
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44 | 44 | ('nLine5Function','<u4'), |
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45 | 45 | ('fClock','<f4'), |
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46 | 46 | ('nPrePulseBefore','<u4'), |
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47 | 47 | ('nPrePulseAfter','<u4'), |
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48 | 48 | ('sRangeIPP','<a20'), |
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49 | 49 | ('sRangeTxA','<a20'), |
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50 | 50 | ('sRangeTxB','<a20'), |
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51 | 51 | ]) |
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52 | 52 | |
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53 | 53 | SAMPLING_STRUCTURE = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')]) |
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54 | 54 | |
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55 | 55 | |
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56 | 56 | PROCESSING_STRUCTURE = numpy.dtype([ |
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57 | 57 | ('nSize','<u4'), |
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58 | 58 | ('nDataType','<u4'), |
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59 | 59 | ('nSizeOfDataBlock','<u4'), |
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60 | 60 | ('nProfilesperBlock','<u4'), |
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61 | 61 | ('nDataBlocksperFile','<u4'), |
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62 | 62 | ('nNumWindows','<u4'), |
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63 | 63 | ('nProcessFlags','<u4'), |
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64 | 64 | ('nCoherentIntegrations','<u4'), |
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65 | 65 | ('nIncoherentIntegrations','<u4'), |
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66 | 66 | ('nTotalSpectra','<u4') |
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67 | 67 | ]) |
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68 | 68 | |
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69 | 69 | class Header(object): |
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70 | 70 | |
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71 | 71 | def __init__(self): |
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72 | 72 | raise NotImplementedError |
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73 | 73 | |
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74 | 74 | def copy(self): |
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75 | 75 | return copy.deepcopy(self) |
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76 | 76 | |
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77 | 77 | def read(self): |
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78 | 78 | |
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79 | 79 | raise NotImplementedError |
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80 | 80 | |
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81 | 81 | def write(self): |
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82 | 82 | |
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83 | 83 | raise NotImplementedError |
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84 | 84 | |
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85 | 85 | def printInfo(self): |
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86 | 86 | |
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87 | 87 | message = "#"*50 + "\n" |
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88 | 88 | message += self.__class__.__name__.upper() + "\n" |
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89 | 89 | message += "#"*50 + "\n" |
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90 | 90 | |
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91 |
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91 | keyList = self.__dict__.keys() | |
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92 | keyList.sort() | |
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93 | ||
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94 | for key in keyList: | |
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92 | 95 | message += "%s = %s" %(key, self.__dict__[key]) + "\n" |
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93 | 96 |
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97 | if "size" not in keyList: | |
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98 | attr = getattr(self, "size") | |
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99 | ||
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100 | if attr: | |
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101 | message += "%s = %s" %("size", attr) + "\n" | |
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102 | ||
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94 | 103 | print message |
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95 | 104 | |
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96 | 105 | class BasicHeader(Header): |
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97 | 106 | |
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98 | 107 | size = None |
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99 | 108 | version = None |
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100 | 109 | dataBlock = None |
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101 | 110 | utc = None |
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102 | 111 | ltc = None |
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103 | 112 | miliSecond = None |
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104 | 113 | timeZone = None |
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105 | 114 | dstFlag = None |
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106 | 115 | errorCount = None |
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107 | 116 | datatime = None |
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108 | 117 | |
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109 | 118 | __LOCALTIME = None |
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110 | 119 | |
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111 | 120 | def __init__(self, useLocalTime=True): |
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112 | 121 | |
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113 | 122 | self.size = 24 |
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114 | 123 | self.version = 0 |
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115 | 124 | self.dataBlock = 0 |
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116 | 125 | self.utc = 0 |
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117 | 126 | self.miliSecond = 0 |
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118 | 127 | self.timeZone = 0 |
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119 | 128 | self.dstFlag = 0 |
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120 | 129 | self.errorCount = 0 |
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121 | 130 | |
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122 | 131 | self.useLocalTime = useLocalTime |
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123 | 132 | |
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124 | 133 | def read(self, fp): |
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125 | 134 | |
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126 | 135 | try: |
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127 | 136 | header = numpy.fromfile(fp, BASIC_STRUCTURE,1) |
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128 | 137 | |
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129 | 138 | except Exception, e: |
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130 | 139 | print "BasicHeader: " |
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131 | 140 | print e |
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132 | 141 | return 0 |
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133 | 142 | |
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134 | 143 | self.size = int(header['nSize'][0]) |
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135 | 144 | self.version = int(header['nVersion'][0]) |
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136 | 145 | self.dataBlock = int(header['nDataBlockId'][0]) |
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137 | 146 | self.utc = int(header['nUtime'][0]) |
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138 | 147 | self.miliSecond = int(header['nMilsec'][0]) |
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139 | 148 | self.timeZone = int(header['nTimezone'][0]) |
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140 | 149 | self.dstFlag = int(header['nDstflag'][0]) |
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141 | 150 | self.errorCount = int(header['nErrorCount'][0]) |
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142 | 151 | |
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143 | 152 | return 1 |
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144 | 153 | |
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145 | 154 | def write(self, fp): |
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146 | 155 | |
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147 | 156 | headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount) |
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148 | 157 | header = numpy.array(headerTuple, BASIC_STRUCTURE) |
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149 | 158 | header.tofile(fp) |
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150 | 159 | |
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151 | 160 | return 1 |
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152 | 161 | |
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153 | 162 | def get_ltc(self): |
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154 | 163 | |
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155 | 164 | return self.utc - self.timeZone*60 |
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156 | 165 | |
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157 | 166 | def set_ltc(self, value): |
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158 | 167 | |
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159 | 168 | self.utc = value + self.timeZone*60 |
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160 | 169 | |
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161 | 170 | def get_datatime(self): |
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162 | 171 | |
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163 | 172 | return datetime.datetime.utcfromtimestamp(self.ltc) |
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164 | 173 | |
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165 | 174 | ltc = property(get_ltc, set_ltc) |
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166 | 175 | datatime = property(get_datatime) |
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167 | 176 | |
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168 | 177 | class SystemHeader(Header): |
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169 | 178 | |
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170 | 179 | size = None |
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171 | 180 | nSamples = None |
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172 | 181 | nProfiles = None |
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173 | 182 | nChannels = None |
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174 | 183 | adcResolution = None |
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175 | 184 | pciDioBusWidth = None |
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176 | 185 | |
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177 | 186 | def __init__(self, nSamples=0, nProfiles=0, nChannels=0, adcResolution=14, pciDioBusWith=0): |
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178 | 187 | |
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179 | 188 | self.size = 24 |
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180 | 189 | self.nSamples = nSamples |
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181 | 190 | self.nProfiles = nProfiles |
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182 | 191 | self.nChannels = nChannels |
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183 | 192 | self.adcResolution = adcResolution |
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184 | 193 | self.pciDioBusWidth = pciDioBusWith |
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185 | 194 | |
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186 | 195 | def read(self, fp): |
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187 | 196 | |
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188 | 197 | startFp = fp.tell() |
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189 | 198 | |
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190 | 199 | try: |
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191 | 200 | header = numpy.fromfile(fp,SYSTEM_STRUCTURE,1) |
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192 | 201 | except Exception, e: |
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193 | 202 | print "SystemHeader: " + e |
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194 | 203 | return 0 |
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195 | 204 | |
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196 | 205 | self.size = header['nSize'][0] |
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197 | 206 | self.nSamples = header['nNumSamples'][0] |
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198 | 207 | self.nProfiles = header['nNumProfiles'][0] |
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199 | 208 | self.nChannels = header['nNumChannels'][0] |
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200 | 209 | self.adcResolution = header['nADCResolution'][0] |
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201 | 210 | self.pciDioBusWidth = header['nPCDIOBusWidth'][0] |
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202 | 211 | |
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203 | 212 | endFp = self.size + startFp |
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204 | 213 | |
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205 |
if fp.tell() |
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206 | print "System Header is not consistent" | |
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214 | if fp.tell() > endFp: | |
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215 | sys.stderr.write("Warning: System header size is lower than it has to be") | |
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207 | 216 | return 0 |
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208 | 217 | |
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218 | if fp.tell() < endFp: | |
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219 | sys.stderr.write("Warning: System header size is greater than it is considered") | |
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220 | ||
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209 | 221 | return 1 |
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210 | 222 | |
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211 | 223 | def write(self, fp): |
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212 | 224 | |
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213 | 225 | headerTuple = (self.size,self.nSamples,self.nProfiles,self.nChannels,self.adcResolution,self.pciDioBusWidth) |
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214 | 226 | header = numpy.array(headerTuple,SYSTEM_STRUCTURE) |
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215 | 227 | header.tofile(fp) |
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216 | 228 | |
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217 | 229 | return 1 |
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218 | 230 | |
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219 | 231 | class RadarControllerHeader(Header): |
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220 | 232 | |
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221 | size = None | |
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222 | 233 | expType = None |
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223 | 234 | nTx = None |
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224 | 235 | ipp = None |
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225 | 236 | txA = None |
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226 | 237 | txB = None |
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227 | 238 | nWindows = None |
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228 | 239 | numTaus = None |
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229 | 240 | codeType = None |
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230 | 241 | line6Function = None |
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231 | 242 | line5Function = None |
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232 | 243 | fClock = None |
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233 | 244 | prePulseBefore = None |
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234 | 245 | prePulserAfter = None |
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235 | 246 | rangeIpp = None |
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236 | 247 | rangeTxA = None |
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237 | 248 | rangeTxB = None |
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238 | 249 | |
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239 | 250 | __size = None |
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240 | 251 | |
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241 | 252 | def __init__(self, expType=2, nTx=1, |
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242 | 253 | ippKm=None, txA=0, txB=0, |
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243 | 254 | nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None, |
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244 | 255 | numTaus=0, line6Function=0, line5Function=0, fClock=None, |
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245 | 256 | prePulseBefore=0, prePulseAfter=0, |
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246 | 257 | codeType=0, nCode=0, nBaud=0, code=None, |
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247 | 258 | flip1=0, flip2=0): |
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248 | 259 | |
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249 | self.size = 116 | |
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260 | # self.size = 116 | |
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250 | 261 | self.expType = expType |
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251 | 262 | self.nTx = nTx |
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252 | 263 | self.ipp = ippKm |
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253 | 264 | self.txA = txA |
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254 | 265 | self.txB = txB |
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255 | 266 | self.rangeIpp = ippKm |
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256 | 267 | self.rangeTxA = txA |
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257 | 268 | self.rangeTxB = txB |
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258 | 269 | |
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259 | 270 | self.nWindows = nWindows |
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260 | 271 | self.numTaus = numTaus |
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261 | 272 | self.codeType = codeType |
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262 | 273 | self.line6Function = line6Function |
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263 | 274 | self.line5Function = line5Function |
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264 | 275 | self.fClock = fClock |
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265 | 276 | self.prePulseBefore = prePulseBefore |
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266 | 277 | self.prePulserAfter = prePulseAfter |
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267 | 278 | |
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268 | 279 | self.nHeights = nHeights |
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269 | 280 | self.firstHeight = firstHeight |
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270 | 281 | self.deltaHeight = deltaHeight |
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271 | 282 | self.samplesWin = nHeights |
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272 | 283 | |
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273 | 284 | self.nCode = nCode |
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274 | 285 | self.nBaud = nBaud |
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275 | 286 | self.code = code |
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276 | 287 | self.flip1 = flip1 |
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277 | 288 | self.flip2 = flip2 |
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278 | 289 | |
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279 | 290 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
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280 | 291 | # self.dynamic = numpy.array([],numpy.dtype('byte')) |
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281 | 292 | |
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282 | 293 | if self.fClock is None and self.deltaHeight is not None: |
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283 | 294 | self.fClock = 0.15/(deltaHeight*1e-6) #0.15Km / (height * 1u) |
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284 | 295 | |
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285 | 296 | def read(self, fp): |
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286 | 297 | |
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287 | 298 | |
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288 | 299 | startFp = fp.tell() |
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289 | 300 | try: |
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290 | 301 | header = numpy.fromfile(fp,RADAR_STRUCTURE,1) |
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291 | 302 | except Exception, e: |
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292 | 303 | print "RadarControllerHeader: " + e |
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293 | 304 | return 0 |
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294 | 305 | |
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295 | 306 | size = int(header['nSize'][0]) |
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296 | 307 | self.expType = int(header['nExpType'][0]) |
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297 | 308 | self.nTx = int(header['nNTx'][0]) |
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298 | 309 | self.ipp = float(header['fIpp'][0]) |
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299 | 310 | self.txA = float(header['fTxA'][0]) |
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300 | 311 | self.txB = float(header['fTxB'][0]) |
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301 | 312 | self.nWindows = int(header['nNumWindows'][0]) |
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302 | 313 | self.numTaus = int(header['nNumTaus'][0]) |
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303 | 314 | self.codeType = int(header['nCodeType'][0]) |
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304 | 315 | self.line6Function = int(header['nLine6Function'][0]) |
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305 | 316 | self.line5Function = int(header['nLine5Function'][0]) |
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306 | 317 | self.fClock = float(header['fClock'][0]) |
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307 | 318 | self.prePulseBefore = int(header['nPrePulseBefore'][0]) |
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308 | 319 | self.prePulserAfter = int(header['nPrePulseAfter'][0]) |
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309 | 320 | self.rangeIpp = header['sRangeIPP'][0] |
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310 | 321 | self.rangeTxA = header['sRangeTxA'][0] |
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311 | 322 | self.rangeTxB = header['sRangeTxB'][0] |
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312 | 323 | |
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313 | 324 | samplingWindow = numpy.fromfile(fp,SAMPLING_STRUCTURE,self.nWindows) |
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314 | 325 | |
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315 | 326 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
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316 | 327 | self.firstHeight = samplingWindow['h0'] |
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317 | 328 | self.deltaHeight = samplingWindow['dh'] |
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318 | 329 | self.samplesWin = samplingWindow['nsa'] |
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319 | 330 | |
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320 | 331 | self.Taus = numpy.fromfile(fp,'<f4',self.numTaus) |
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321 | 332 | |
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322 | 333 | self.code_size = 0 |
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323 | 334 | if self.codeType != 0: |
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324 | 335 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
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325 | 336 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
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326 | 337 | |
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327 | 338 | code = numpy.empty([self.nCode,self.nBaud],dtype='i1') |
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328 | 339 | for ic in range(self.nCode): |
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329 | 340 | temp = numpy.fromfile(fp,'u4',int(numpy.ceil(self.nBaud/32.))) |
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330 | 341 | for ib in range(self.nBaud-1,-1,-1): |
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331 | 342 | code[ic,ib] = temp[ib/32]%2 |
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332 | 343 | temp[ib/32] = temp[ib/32]/2 |
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333 | 344 | |
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334 | 345 | self.code = 2.0*code - 1.0 |
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335 | 346 | self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4 |
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336 | 347 | |
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337 | 348 | # if self.line5Function == RCfunction.FLIP: |
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338 | 349 | # self.flip1 = numpy.fromfile(fp,'<u4',1) |
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339 | 350 | # |
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340 | 351 | # if self.line6Function == RCfunction.FLIP: |
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341 | 352 | # self.flip2 = numpy.fromfile(fp,'<u4',1) |
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342 | 353 | |
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343 | 354 | endFp = size + startFp |
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344 | 355 | |
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345 | 356 | if fp.tell() != endFp: |
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346 | 357 | # fp.seek(endFp) |
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347 | 358 | print "Radar Controller Header is not consistent read[%d] != header[%d]" %(fp.tell()-startFp,endFp) |
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348 | 359 | # return 0 |
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349 | 360 | |
|
361 | if fp.tell() > endFp: | |
|
362 | sys.stderr.write("Warning: Radar Controller header size is lower than it has to be") | |
|
363 | # return 0 | |
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364 | ||
|
365 | if fp.tell() < endFp: | |
|
366 | sys.stderr.write("Warning: Radar Controller header size is greater than it is considered") | |
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367 | ||
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368 | ||
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350 | 369 | return 1 |
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351 | 370 | |
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352 | 371 | def write(self, fp): |
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353 | 372 | |
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354 | 373 | headerTuple = (self.size, |
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355 | 374 | self.expType, |
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356 | 375 | self.nTx, |
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357 | 376 | self.ipp, |
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358 | 377 | self.txA, |
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359 | 378 | self.txB, |
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360 | 379 | self.nWindows, |
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361 | 380 | self.numTaus, |
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362 | 381 | self.codeType, |
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363 | 382 | self.line6Function, |
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364 | 383 | self.line5Function, |
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365 | 384 | self.fClock, |
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366 | 385 | self.prePulseBefore, |
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367 | 386 | self.prePulserAfter, |
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368 | 387 | self.rangeIpp, |
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369 | 388 | self.rangeTxA, |
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370 | 389 | self.rangeTxB) |
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371 | 390 | |
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372 | 391 | header = numpy.array(headerTuple,RADAR_STRUCTURE) |
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373 | 392 | header.tofile(fp) |
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374 | 393 | |
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375 | 394 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
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376 | 395 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) |
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377 | 396 | samplingWindow.tofile(fp) |
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378 | 397 | |
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379 | 398 | if self.numTaus > 0: |
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380 | 399 | self.Taus.tofile(fp) |
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381 | 400 | |
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382 | 401 | if self.codeType !=0: |
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383 | 402 | nCode = numpy.array(self.nCode, '<u4') |
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384 | 403 | nCode.tofile(fp) |
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385 | 404 | nBaud = numpy.array(self.nBaud, '<u4') |
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386 | 405 | nBaud.tofile(fp) |
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387 | 406 | code1 = (self.code + 1.0)/2. |
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388 | 407 | |
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389 | 408 | for ic in range(self.nCode): |
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390 | 409 | tempx = numpy.zeros(numpy.ceil(self.nBaud/32.)) |
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391 | 410 | start = 0 |
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392 | 411 | end = 32 |
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393 | 412 | for i in range(len(tempx)): |
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394 | 413 | code_selected = code1[ic,start:end] |
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395 | 414 | for j in range(len(code_selected)-1,-1,-1): |
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396 | 415 | if code_selected[j] == 1: |
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397 | 416 | tempx[i] = tempx[i] + 2**(len(code_selected)-1-j) |
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398 | 417 | start = start + 32 |
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399 | 418 | end = end + 32 |
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400 | 419 | |
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401 | 420 | tempx = tempx.astype('u4') |
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402 | 421 | tempx.tofile(fp) |
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403 | 422 | |
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404 | 423 | # if self.line5Function == RCfunction.FLIP: |
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405 | 424 | # self.flip1.tofile(fp) |
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406 | 425 | # |
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407 | 426 | # if self.line6Function == RCfunction.FLIP: |
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408 | 427 | # self.flip2.tofile(fp) |
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409 | 428 | |
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410 | 429 | return 1 |
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411 | 430 | |
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412 | 431 | def get_ippSeconds(self): |
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413 | 432 | ''' |
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414 | 433 | ''' |
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415 | 434 | ippSeconds = 2.0 * 1000 * self.ipp / SPEED_OF_LIGHT |
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416 | 435 | |
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417 | 436 | return ippSeconds |
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418 | 437 | |
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419 | 438 | def set_ippSeconds(self, ippSeconds): |
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420 | 439 | ''' |
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421 | 440 | ''' |
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422 | 441 | |
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423 | 442 | self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0*1000) |
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424 | 443 | |
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425 | 444 | return |
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426 | 445 | |
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427 | 446 | def get_size(self): |
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428 | 447 | |
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429 | 448 | self.__size = 116 + 12*self.nWindows + 4*self.numTaus |
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430 | 449 | |
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431 | 450 | if self.codeType != 0: |
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432 | 451 | self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) |
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433 | 452 | |
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434 | 453 | return self.__size |
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435 | 454 | |
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436 | 455 | def set_size(self, value): |
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437 | 456 | |
|
438 | self.__size = value | |
|
457 | raise IOError, "size is a property and it cannot be set, just read" | |
|
439 | 458 | |
|
440 | 459 | return |
|
441 | 460 | |
|
442 | 461 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
443 | 462 | size = property(get_size, set_size) |
|
444 | 463 | |
|
445 | 464 | class ProcessingHeader(Header): |
|
446 | 465 | |
|
447 | 466 | # size = None |
|
448 | 467 | dtype = None |
|
449 | 468 | blockSize = None |
|
450 | 469 | profilesPerBlock = None |
|
451 | 470 | dataBlocksPerFile = None |
|
452 | 471 | nWindows = None |
|
453 | 472 | processFlags = None |
|
454 | 473 | nCohInt = None |
|
455 | 474 | nIncohInt = None |
|
456 | 475 | totalSpectra = None |
|
457 | 476 | |
|
458 | 477 | flag_dc = None |
|
459 | 478 | flag_cspc = None |
|
460 | 479 | |
|
461 | 480 | def __init__(self): |
|
462 | 481 | |
|
463 | 482 | # self.size = 0 |
|
464 | 483 | self.dtype = 0 |
|
465 | 484 | self.blockSize = 0 |
|
466 | 485 | self.profilesPerBlock = 0 |
|
467 | 486 | self.dataBlocksPerFile = 0 |
|
468 | 487 | self.nWindows = 0 |
|
469 | 488 | self.processFlags = 0 |
|
470 | 489 | self.nCohInt = 0 |
|
471 | 490 | self.nIncohInt = 0 |
|
472 | 491 | self.totalSpectra = 0 |
|
473 | 492 | |
|
474 | 493 | self.nHeights = 0 |
|
475 | 494 | self.firstHeight = 0 |
|
476 | 495 | self.deltaHeight = 0 |
|
477 | 496 | self.samplesWin = 0 |
|
478 | 497 | self.spectraComb = 0 |
|
479 | 498 | self.nCode = None |
|
480 | 499 | self.code = None |
|
481 | 500 | self.nBaud = None |
|
482 | 501 | |
|
483 | 502 | self.shif_fft = False |
|
484 | 503 | self.flag_dc = False |
|
485 | 504 | self.flag_cspc = False |
|
486 | 505 | self.flag_decode = False |
|
487 | 506 | self.flag_deflip = False |
|
488 | 507 | |
|
489 | 508 | def read(self, fp): |
|
490 | 509 | |
|
491 | 510 | startFp = fp.tell() |
|
492 | 511 | |
|
493 | 512 | try: |
|
494 | 513 | header = numpy.fromfile(fp,PROCESSING_STRUCTURE,1) |
|
495 | 514 | except Exception, e: |
|
496 | 515 | print "ProcessingHeader: " + e |
|
497 | 516 | return 0 |
|
498 | 517 | |
|
499 | 518 | size = int(header['nSize'][0]) |
|
500 | 519 | self.dtype = int(header['nDataType'][0]) |
|
501 | 520 | self.blockSize = int(header['nSizeOfDataBlock'][0]) |
|
502 | 521 | self.profilesPerBlock = int(header['nProfilesperBlock'][0]) |
|
503 | 522 | self.dataBlocksPerFile = int(header['nDataBlocksperFile'][0]) |
|
504 | 523 | self.nWindows = int(header['nNumWindows'][0]) |
|
505 | 524 | self.processFlags = header['nProcessFlags'] |
|
506 | 525 | self.nCohInt = int(header['nCoherentIntegrations'][0]) |
|
507 | 526 | self.nIncohInt = int(header['nIncoherentIntegrations'][0]) |
|
508 | 527 | self.totalSpectra = int(header['nTotalSpectra'][0]) |
|
509 | 528 | |
|
510 | 529 | samplingWindow = numpy.fromfile(fp,SAMPLING_STRUCTURE,self.nWindows) |
|
511 | 530 | |
|
512 | 531 | self.nHeights = int(numpy.sum(samplingWindow['nsa'])) |
|
513 | 532 | self.firstHeight = float(samplingWindow['h0'][0]) |
|
514 | 533 | self.deltaHeight = float(samplingWindow['dh'][0]) |
|
515 | 534 | self.samplesWin = samplingWindow['nsa'][0] |
|
516 | 535 | |
|
517 | 536 | self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra) |
|
518 | 537 | |
|
519 | 538 | if ((self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE) == PROCFLAG.DEFINE_PROCESS_CODE): |
|
520 | 539 | self.nCode = int(numpy.fromfile(fp,'<u4',1)) |
|
521 | 540 | self.nBaud = int(numpy.fromfile(fp,'<u4',1)) |
|
522 | 541 | self.code = numpy.fromfile(fp,'<f4',self.nCode*self.nBaud).reshape(self.nCode,self.nBaud) |
|
523 | 542 | |
|
524 | 543 | if ((self.processFlags & PROCFLAG.EXP_NAME_ESP) == PROCFLAG.EXP_NAME_ESP): |
|
525 | 544 | exp_name_len = int(numpy.fromfile(fp,'<u4',1)) |
|
526 | 545 | exp_name = numpy.fromfile(fp,'u1',exp_name_len+1) |
|
527 | 546 | |
|
528 | 547 | if ((self.processFlags & PROCFLAG.SHIFT_FFT_DATA) == PROCFLAG.SHIFT_FFT_DATA): |
|
529 | 548 | self.shif_fft = True |
|
530 | 549 | else: |
|
531 | 550 | self.shif_fft = False |
|
532 | 551 | |
|
533 | 552 | if ((self.processFlags & PROCFLAG.SAVE_CHANNELS_DC) == PROCFLAG.SAVE_CHANNELS_DC): |
|
534 | 553 | self.flag_dc = True |
|
535 | 554 | else: |
|
536 | 555 | self.flag_dc = False |
|
537 | 556 | |
|
538 | 557 | if ((self.processFlags & PROCFLAG.DECODE_DATA) == PROCFLAG.DECODE_DATA): |
|
539 | 558 | self.flag_decode = True |
|
540 | 559 | else: |
|
541 | 560 | self.flag_decode = False |
|
542 | 561 | |
|
543 | 562 | if ((self.processFlags & PROCFLAG.DEFLIP_DATA) == PROCFLAG.DEFLIP_DATA): |
|
544 | 563 | self.flag_deflip = True |
|
545 | 564 | else: |
|
546 | 565 | self.flag_deflip = False |
|
547 | 566 | |
|
548 | 567 | nChannels = 0 |
|
549 | 568 | nPairs = 0 |
|
550 | 569 | pairList = [] |
|
551 | 570 | |
|
552 | 571 | for i in range( 0, self.totalSpectra*2, 2 ): |
|
553 | 572 | if self.spectraComb[i] == self.spectraComb[i+1]: |
|
554 | 573 | nChannels = nChannels + 1 #par de canales iguales |
|
555 | 574 | else: |
|
556 | 575 | nPairs = nPairs + 1 #par de canales diferentes |
|
557 | 576 | pairList.append( (self.spectraComb[i], self.spectraComb[i+1]) ) |
|
558 | 577 | |
|
559 | 578 | self.flag_cspc = False |
|
560 | 579 | if nPairs > 0: |
|
561 | 580 | self.flag_cspc = True |
|
562 | 581 | |
|
563 | 582 | endFp = size + startFp |
|
564 | 583 | |
|
565 |
if fp.tell() |
|
|
566 | print "Processing Header is not consistent" | |
|
584 | if fp.tell() > endFp: | |
|
585 | sys.stderr.write("Warning: Processing header size is lower than it has to be") | |
|
567 | 586 | return 0 |
|
568 | 587 | |
|
588 | if fp.tell() < endFp: | |
|
589 | sys.stderr.write("Warning: Processing header size is greater than it is considered") | |
|
590 | ||
|
569 | 591 | return 1 |
|
570 | 592 | |
|
571 | 593 | def write(self, fp): |
|
572 | 594 | #Clear DEFINE_PROCESS_CODE |
|
573 | 595 | self.processFlags = self.processFlags & (~PROCFLAG.DEFINE_PROCESS_CODE) |
|
574 | 596 | |
|
575 | 597 | headerTuple = (self.size, |
|
576 | 598 | self.dtype, |
|
577 | 599 | self.blockSize, |
|
578 | 600 | self.profilesPerBlock, |
|
579 | 601 | self.dataBlocksPerFile, |
|
580 | 602 | self.nWindows, |
|
581 | 603 | self.processFlags, |
|
582 | 604 | self.nCohInt, |
|
583 | 605 | self.nIncohInt, |
|
584 | 606 | self.totalSpectra) |
|
585 | 607 | |
|
586 | 608 | header = numpy.array(headerTuple,PROCESSING_STRUCTURE) |
|
587 | 609 | header.tofile(fp) |
|
588 | 610 | |
|
589 | 611 | if self.nWindows != 0: |
|
590 | 612 | sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin) |
|
591 | 613 | samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE) |
|
592 | 614 | samplingWindow.tofile(fp) |
|
593 | 615 | |
|
594 | 616 | if self.totalSpectra != 0: |
|
595 | 617 | # spectraComb = numpy.array([],numpy.dtype('u1')) |
|
596 | 618 | spectraComb = self.spectraComb |
|
597 | 619 | spectraComb.tofile(fp) |
|
598 | 620 | |
|
599 | 621 | if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
600 | 622 | nCode = numpy.array([self.nCode], numpy.dtype('u4')) #Probar con un dato que almacene codigo, hasta el momento no se hizo la prueba |
|
601 | 623 | nCode.tofile(fp) |
|
602 | 624 | |
|
603 | 625 | nBaud = numpy.array([self.nBaud], numpy.dtype('u4')) |
|
604 | 626 | nBaud.tofile(fp) |
|
605 | 627 | |
|
606 | 628 | code = self.code.reshape(self.nCode*self.nBaud) |
|
607 | 629 | code = code.astype(numpy.dtype('<f4')) |
|
608 | 630 | code.tofile(fp) |
|
609 | 631 | |
|
610 | 632 | return 1 |
|
611 | 633 | |
|
612 | 634 | def get_size(self): |
|
613 | 635 | |
|
614 | 636 | self.__size = 40 + 12*self.nWindows + 2*self.totalSpectra |
|
615 | 637 | |
|
616 | 638 | if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE: |
|
617 | 639 | # self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.) |
|
618 | 640 | self.__size += 4 + 4 + 4 * self.nCode * self.nBaud |
|
619 | 641 | |
|
620 | 642 | return self.__size |
|
621 | 643 | |
|
622 | 644 | def set_size(self, value): |
|
623 | 645 | |
|
624 | self.__size = value | |
|
646 | raise IOError, "size is a property and it cannot be set, just read" | |
|
625 | 647 | |
|
626 | 648 | return |
|
627 | 649 | |
|
628 | 650 | size = property(get_size, set_size) |
|
629 | 651 | |
|
630 | 652 | class RCfunction: |
|
631 | 653 | NONE=0 |
|
632 | 654 | FLIP=1 |
|
633 | 655 | CODE=2 |
|
634 | 656 | SAMPLING=3 |
|
635 | 657 | LIN6DIV256=4 |
|
636 | 658 | SYNCHRO=5 |
|
637 | 659 | |
|
638 | 660 | class nCodeType: |
|
639 | 661 | NONE=0 |
|
640 | 662 | USERDEFINE=1 |
|
641 | 663 | BARKER2=2 |
|
642 | 664 | BARKER3=3 |
|
643 | 665 | BARKER4=4 |
|
644 | 666 | BARKER5=5 |
|
645 | 667 | BARKER7=6 |
|
646 | 668 | BARKER11=7 |
|
647 | 669 | BARKER13=8 |
|
648 | 670 | AC128=9 |
|
649 | 671 | COMPLEMENTARYCODE2=10 |
|
650 | 672 | COMPLEMENTARYCODE4=11 |
|
651 | 673 | COMPLEMENTARYCODE8=12 |
|
652 | 674 | COMPLEMENTARYCODE16=13 |
|
653 | 675 | COMPLEMENTARYCODE32=14 |
|
654 | 676 | COMPLEMENTARYCODE64=15 |
|
655 | 677 | COMPLEMENTARYCODE128=16 |
|
656 | 678 | CODE_BINARY28=17 |
|
657 | 679 | |
|
658 | 680 | class PROCFLAG: |
|
659 | 681 | |
|
660 | 682 | COHERENT_INTEGRATION = numpy.uint32(0x00000001) |
|
661 | 683 | DECODE_DATA = numpy.uint32(0x00000002) |
|
662 | 684 | SPECTRA_CALC = numpy.uint32(0x00000004) |
|
663 | 685 | INCOHERENT_INTEGRATION = numpy.uint32(0x00000008) |
|
664 | 686 | POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010) |
|
665 | 687 | SHIFT_FFT_DATA = numpy.uint32(0x00000020) |
|
666 | 688 | |
|
667 | 689 | DATATYPE_CHAR = numpy.uint32(0x00000040) |
|
668 | 690 | DATATYPE_SHORT = numpy.uint32(0x00000080) |
|
669 | 691 | DATATYPE_LONG = numpy.uint32(0x00000100) |
|
670 | 692 | DATATYPE_INT64 = numpy.uint32(0x00000200) |
|
671 | 693 | DATATYPE_FLOAT = numpy.uint32(0x00000400) |
|
672 | 694 | DATATYPE_DOUBLE = numpy.uint32(0x00000800) |
|
673 | 695 | |
|
674 | 696 | DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000) |
|
675 | 697 | DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000) |
|
676 | 698 | DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000) |
|
677 | 699 | |
|
678 | 700 | SAVE_CHANNELS_DC = numpy.uint32(0x00008000) |
|
679 | 701 | DEFLIP_DATA = numpy.uint32(0x00010000) |
|
680 | 702 | DEFINE_PROCESS_CODE = numpy.uint32(0x00020000) |
|
681 | 703 | |
|
682 | 704 | ACQ_SYS_NATALIA = numpy.uint32(0x00040000) |
|
683 | 705 | ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000) |
|
684 | 706 | ACQ_SYS_ADRXD = numpy.uint32(0x000C0000) |
|
685 | 707 | ACQ_SYS_JULIA = numpy.uint32(0x00100000) |
|
686 | 708 | ACQ_SYS_XXXXXX = numpy.uint32(0x00140000) |
|
687 | 709 | |
|
688 | 710 | EXP_NAME_ESP = numpy.uint32(0x00200000) |
|
689 | 711 | CHANNEL_NAMES_ESP = numpy.uint32(0x00400000) |
|
690 | 712 | |
|
691 | 713 | OPERATION_MASK = numpy.uint32(0x0000003F) |
|
692 | 714 | DATATYPE_MASK = numpy.uint32(0x00000FC0) |
|
693 | 715 | DATAARRANGE_MASK = numpy.uint32(0x00007000) |
|
694 | 716 | ACQ_SYS_MASK = numpy.uint32(0x001C0000) |
|
695 | 717 | |
|
696 | 718 | dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
697 | 719 | dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
698 | 720 | dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
699 | 721 | dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
700 | 722 | dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
701 | 723 | dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
702 | 724 | |
|
703 | 725 | NUMPY_DTYPE_LIST = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5] |
|
704 | 726 | |
|
705 | 727 | PROCFLAG_DTYPE_LIST = [PROCFLAG.DATATYPE_CHAR, |
|
706 | 728 | PROCFLAG.DATATYPE_SHORT, |
|
707 | 729 | PROCFLAG.DATATYPE_LONG, |
|
708 | 730 | PROCFLAG.DATATYPE_INT64, |
|
709 | 731 | PROCFLAG.DATATYPE_FLOAT, |
|
710 | 732 | PROCFLAG.DATATYPE_DOUBLE] |
|
711 | 733 | |
|
712 | 734 | DTYPE_WIDTH = [1, 2, 4, 8, 4, 8] |
|
713 | 735 | |
|
714 | 736 | def get_dtype_index(numpy_dtype): |
|
715 | 737 | |
|
716 | 738 | index = None |
|
717 | 739 | |
|
718 | 740 | for i in range(len(NUMPY_DTYPE_LIST)): |
|
719 | 741 | if numpy_dtype == NUMPY_DTYPE_LIST[i]: |
|
720 | 742 | index = i |
|
721 | 743 | break |
|
722 | 744 | |
|
723 | 745 | return index |
|
724 | 746 | |
|
725 | 747 | def get_numpy_dtype(index): |
|
726 | 748 | |
|
727 | 749 | return NUMPY_DTYPE_LIST[index] |
|
728 | 750 | |
|
729 | 751 | def get_procflag_dtype(index): |
|
730 | 752 | |
|
731 | 753 | return PROCFLAG_DTYPE_LIST[index] |
|
732 | 754 | |
|
733 | 755 | def get_dtype_width(index): |
|
734 | 756 | |
|
735 | 757 | return DTYPE_WIDTH[index] No newline at end of file |
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