1 | class CalibData
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2 | {
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3 | protected:
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4 | uint64_t fNumEntries;
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5 |
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6 | size_t fNumSamples;
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7 | size_t fNumChannels;
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8 |
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9 | vector<int64_t> fSum;
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10 | vector<int64_t> fSum2;
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11 |
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12 | /*
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13 | vector<map<int16_t, uint8_t> > fMedian;
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14 | vector<int16_t> fResult;
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15 | */
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16 | public:
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17 | CalibData() : fNumEntries(0), fNumSamples(0), fNumChannels(0) { }
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18 | void Reset()
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19 | {
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20 | fNumEntries = 0;
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21 | fNumSamples = 0;
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22 | fNumChannels = 0;
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23 |
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24 | fSum.clear();
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25 | fSum2.clear();
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26 | }
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27 |
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28 | void InitSize(uint16_t channels, uint16_t samples)
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29 | {
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30 | fNumChannels = channels;
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31 | fNumSamples = samples;
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32 |
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33 | fSum.resize(samples*channels);
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34 | fSum2.resize(samples*channels);
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35 |
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36 | //fMedian.resize(40*9*1024);
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37 | }
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38 | /*
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39 | continue;
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40 |
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41 | if (ch<40*9)
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42 | {
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43 | fMedian[abs][val[rel]]++;
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44 |
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45 | int n= 8;
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46 | if (fNumEntries>0 && fNumEntries%(n*100)==0)
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47 | {
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48 | fResult.resize(40*9*1024);
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49 |
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50 | uint16_t sum = 0;
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51 | for (map<int16_t, uint8_t>::const_iterator it=fMedian[abs].begin();
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52 | it!=fMedian[abs].end(); it++)
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53 | {
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54 | map<int16_t, uint8_t>::const_iterator is = it;
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55 | is++;
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56 | if (is==fMedian[abs].end())
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57 | break;
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58 |
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59 | sum += it->second;
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60 |
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61 | double med = 0;
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62 |
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63 | med += int64_t(it->second)*int64_t(it->first);
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64 | med += int64_t(is->second)*int64_t(is->first);
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65 | med /= int64_t(it->second)+int64_t(is->second);
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66 |
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67 | if (sum==n*50)
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68 | {
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69 | fResult[abs] = it->first;
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70 | cout << ch << " MED+(50): " << it->first << endl;
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71 | }
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72 | if (sum<n*50 && sum+is->second>n*50)
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73 | {
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74 | fResult[abs] = med;
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75 | cout << ch << " MED-(50): " << med << endl;
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76 | }
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77 | }
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78 | cout << ch << " AVG=" << float(fSum[abs])/fNumEntries << endl;
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79 | fMedian[abs].clear();
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80 | }
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81 | } // -2029 -2012 -2003 -1996 -1990 // -1955
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82 | */
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83 |
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84 | void AddRel(const int16_t *val, const int16_t *start)
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85 | {
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86 | for (size_t ch=0; ch<fNumChannels; ch++)
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87 | {
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88 | const int16_t spos = start[ch];
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89 | if (spos<0)
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90 | continue;
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91 |
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92 | const size_t pos = ch*fNumSamples;
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93 |
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94 | for (size_t i=0; i<fNumSamples; i++)
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95 | {
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96 | // Value is relative to trigger
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97 | // Abs is corresponding index relative to DRS pipeline
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98 | const size_t rel = pos + i;
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99 | const size_t abs = pos + (spos+i)%fNumSamples;
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100 |
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101 | const int64_t v = val[rel];
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102 |
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103 | fSum[abs] += v;
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104 | fSum2[abs] += v*v;
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105 | }
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106 | }
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107 |
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108 | fNumEntries++;
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109 | }
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110 |
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111 | void AddRel(const int16_t *val, const int16_t *start,
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112 | const int32_t *offset, const uint32_t scale)
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113 | {
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114 | for (size_t ch=0; ch<fNumChannels; ch++)
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115 | {
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116 | const int16_t spos = start[ch];
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117 | if (spos<0)
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118 | continue;
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119 |
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120 | const size_t pos = ch*fNumSamples;
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121 |
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122 | for (size_t i=0; i<fNumSamples; i++)
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123 | {
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124 | // Value is relative to trigger
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125 | // Offset is relative to DRS pipeline
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126 | // Abs is corresponding index relative to DRS pipeline
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127 | const size_t rel = pos + i;
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128 | const size_t abs = pos + (spos+i)%fNumSamples;
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129 |
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130 | const int64_t v = int64_t(val[rel])*scale-offset[abs];
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131 |
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132 | fSum[abs] += v;
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133 | fSum2[abs] += v*v;
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134 | }
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135 | }
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136 |
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137 | fNumEntries++;
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138 | }
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139 |
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140 | void AddAbs(const int16_t *val, const int16_t *start,
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141 | const int32_t *offset, const uint32_t scale)
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142 | {
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143 | for (size_t ch=0; ch<fNumChannels; ch++)
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144 | {
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145 | const int16_t spos = start[ch];
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146 | if (spos<0)
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147 | continue;
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148 |
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149 | const size_t pos = ch*fNumSamples;
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150 |
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151 | for (size_t i=0; i<fNumSamples; i++)
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152 | {
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153 | // Value is relative to trigger
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154 | // Offset is relative to DRS pipeline
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155 | // Abs is corresponding index relative to DRS pipeline
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156 | const size_t rel = pos + i;
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157 | const size_t abs = pos + (spos+i)%fNumSamples;
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158 |
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159 | const int64_t v = int64_t(val[rel])*scale-offset[abs];
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160 |
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161 | fSum[rel] += v;
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162 | fSum2[rel] += v*v;
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163 | }
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164 | }
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165 |
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166 | fNumEntries++;
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167 | }
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168 |
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169 | static void Apply(int16_t *val, const int16_t *start, uint32_t roi,
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170 | const int32_t *offset, const uint32_t scaleabs,
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171 | const int64_t *gain, const uint32_t scalegain,
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172 | const int64_t *trgoff, const uint32_t scalerel)
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173 | {
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174 | return ;// "FIXME: scalegain exceeds valid range..."
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175 | for (size_t ch=0; ch<1440; ch++)
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176 | {
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177 | const int16_t spos = start[ch];
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178 | if (spos<0)
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179 | continue;
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180 |
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181 | const size_t pos = ch*roi;
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182 |
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183 | for (size_t i=0; i<roi; i++)
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184 | {
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185 | // Value is relative to trigger
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186 | // Offset is relative to DRS pipeline
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187 | // Abs is corresponding index relative to DRS pipeline
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188 | const size_t rel = pos + i;
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189 | const size_t abs = pos + (spos+i)%1024;
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190 |
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191 | const int64_t v =
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192 | + int64_t(val[rel]) *scaleabs*scalerel
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193 | - int64_t(trgoff[rel])*scaleabs
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194 | - int64_t(offset[abs])*scalerel
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195 | ;
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196 |
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197 | // The gain value is multiplied by fNumOffset and fNumGain
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198 | const int64_t div = int64_t(gain[abs])*scaleabs*scalerel;
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199 | val[rel] = (v*scalegain)/div;
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200 | }
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201 | }
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202 | }
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203 |
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204 | static void Apply(float *vec, const int16_t *val, const int16_t *start, uint32_t roi,
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205 | const int32_t *offset, const uint32_t scaleabs,
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206 | const int64_t *gain, /*const*/ uint64_t scalegain,
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207 | const int64_t *trgoff, /*const*/ uint64_t scalerel)
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208 | {
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209 |
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210 | /*
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211 | scalegain *= scaleabs;
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212 | scalerel *= scaleabs;
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213 |
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214 | for (size_t ch=0; ch<1440; ch++)
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215 | {
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216 | const size_t pos = ch*roi;
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217 | const int16_t spos = start[ch];
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218 | if (spos<0)
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219 | {
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220 | memset(vec+pos, 0, roi);
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221 | continue;
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222 | }
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223 |
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224 | for (size_t i=0; i<roi; i++)
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225 | {
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226 | // Value is relative to trigger
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227 | // Offset is relative to DRS pipeline
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228 | // Abs is corresponding index relative to DRS pipeline
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229 | const size_t rel = pos + i;
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230 | const size_t abs = pos + (spos+i)%1024;
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231 |
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232 | const int64_t v =
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233 | + int64_t(val[rel]) *scaleabs*scalerel
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234 | - int64_t(trgoff[rel])*scaleabs
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235 | - int64_t(offset[abs])*scalerel
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236 | ;
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237 |
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238 | const int64_t div = int64_t(gain[abs])*scaleabs*scalerel;
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239 |
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240 | vec[rel] = double(v)*scalegain/div;
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241 | }
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242 | }*/
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243 |
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244 | for (size_t ch=0; ch<1440; ch++)
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245 | {
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246 | const size_t pos = ch*roi;
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247 |
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248 | const int16_t spos = start[ch];
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249 | if (spos<0)
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250 | {
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251 | memset(vec+pos, 0, roi);
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252 | continue;
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253 | }
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254 |
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255 | for (size_t i=0; i<roi; i++)
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256 | {
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257 | // Value is relative to trigger
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258 | // Offset is relative to DRS pipeline
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259 | // Abs is corresponding index relative to DRS pipeline
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260 | const size_t rel = pos + i;
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261 | const size_t abs = pos + (spos+i)%1024;
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262 |
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263 | const int64_t v =
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264 | + (int64_t(val[rel])*scaleabs-offset[abs])*scalerel
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265 | - trgoff[rel]
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266 | ;
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267 |
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268 | const int64_t div = gain[abs]*scalerel;
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269 | vec[rel] = double(v)*scalegain/div;
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270 | }
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271 | }
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272 | }
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273 |
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274 | /*
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275 | static void Apply(float *vec, const int16_t *val, const int16_t *start, uint32_t roi)
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276 | {
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277 | for (size_t ch=0; ch<1440; ch++)
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278 | {
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279 | const size_t pos = ch*roi;
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280 |
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281 | const int16_t spos = start[ch];
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282 | if (spos<0)
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283 | {
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284 | memset(vec+pos, 0, roi);
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285 | continue;
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286 | }
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287 |
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288 | for (size_t i=0; i<roi; i++)
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289 | vec[pos+i] = float(val[pos+i])/2;
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290 | }
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291 | }*/
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292 |
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293 | pair<vector<double>,vector<double> > GetSampleStats() const
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294 | {
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295 | if (fNumEntries==0)
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296 | return make_pair(vector<double>(),vector<double>());
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297 |
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298 | vector<double> mean(fSum.size());
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299 | vector<double> error(fSum.size());
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300 |
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301 | vector<int64_t>::const_iterator it = fSum.begin();
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302 | vector<int64_t>::const_iterator i2 = fSum2.begin();
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303 | vector<double>::iterator im = mean.begin();
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304 | vector<double>::iterator ie = error.begin();
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305 |
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306 | while (it!=fSum.end())
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307 | {
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308 | *im = /*cnt<fResult.size() ? fResult[cnt] :*/ double(*it)/fNumEntries;
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309 | *ie = sqrt(double(*i2*int64_t(fNumEntries) - *it * *it))/fNumEntries;
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310 |
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311 | im++;
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312 | ie++;
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313 | it++;
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314 | i2++;
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315 | }
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316 |
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317 |
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318 | /*
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319 | valarray<double> ...
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320 |
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321 | mean /= fNumEntries;
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322 | error = sqrt(error/fNumEntries - mean*mean);
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323 | */
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324 |
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325 | return make_pair(mean, error);
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326 | }
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327 |
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328 | void GetSampleStats(float *ptr, float scale) const
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329 | {
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330 | if (fNumEntries==0)
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331 | {
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332 | memset(ptr, 0, sizeof(float)*1024*1440*2);
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333 | return;
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334 | }
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335 |
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336 | vector<int64_t>::const_iterator it = fSum.begin();
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337 | vector<int64_t>::const_iterator i2 = fSum2.begin();
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338 |
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339 | while (it!=fSum.end())
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340 | {
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341 | *ptr = scale*double(*it)/fNumEntries;
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342 | *(ptr+1024*1440) = scale*sqrt(double(*i2*int64_t(fNumEntries) - *it * *it))/fNumEntries;
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343 |
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344 | ptr++;
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345 | it++;
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346 | i2++;
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347 | }
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348 | }
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349 |
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350 | static void GetPixelStats(float *ptr, const float *data, uint16_t roi)
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351 | {
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352 | if (roi==0)
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353 | return;
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354 |
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355 | for (int i=0; i<1440; i++)
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356 | {
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357 | const float *vec = data+i*roi;
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358 |
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359 | int pos = 0;
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360 | double sum = vec[0];
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361 | double sum2 = vec[0]*vec[0];
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362 | for (int j=1; j<roi; j++)
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363 | {
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364 | sum += vec[j];
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365 | sum2 += vec[j]*vec[j];
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366 |
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367 | if (vec[j]>vec[pos])
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368 | pos = j;
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369 | }
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370 | sum /= roi;
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371 | sum2 /= roi;
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372 |
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373 | *(ptr+0*1440+i) = sum;
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374 | *(ptr+1*1440+i) = sqrt(sum2 - sum * sum);
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375 | *(ptr+2*1440+i) = vec[pos];
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376 | *(ptr+3*1440+i) = pos;
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377 | }
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378 | }
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379 |
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380 | const vector<int64_t> &GetSum() const { return fSum; }
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381 |
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382 | uint64_t GetNumEntries() const { return fNumEntries; }
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383 | };
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384 |
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385 |
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386 | /*
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387 | Int_t TH1::MyFill(Int_t x, Double_t w)
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388 | {
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389 | fEntries++;
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390 |
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391 | fArrayBin[x] += w;
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392 |
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393 | fSumw2.fArray[x] += w*w
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394 | fTsumw += w;
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395 | fTsumw2 += w*w;
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396 | fTsumwx += w*x;
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397 | fTsumwx2 += w*x*x;
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398 | return bin;
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399 | }
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400 | */
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