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6
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1 from commons.core.stat.Stat import Stat
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2 import unittest
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3
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4 class Test_Stat(unittest.TestCase):
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5
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6 def test__eq__true(self):
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7 iStat1 = Stat([1, 2, 3, 46])
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8 iStat2 = Stat([1, 2, 3, 46])
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9 self.assertTrue(iStat1 == iStat2)
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10
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11 def test__eq__false(self):
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12 iStat1 = Stat([1, 2, 3, 4])
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13 iStat2 = Stat([1, 2, 3, 46])
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14 self.assertFalse(iStat1 == iStat2)
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15
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16 def test__eq__disordered_list(self):
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17 iStat1 = Stat([3, 2, 1, 46])
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18 iStat2 = Stat([1, 2, 3, 46])
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19 self.assertTrue(iStat1 == iStat2)
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20
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21 def test_reset(self):
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22 lValues = [1, 2, 5, 9, 12, 46]
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23 iStat = Stat(lValues)
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24 iStat.reset()
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25 expValuesList = []
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26 expSum = 0
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27 expSum2 = 0
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28 expN = 0
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29 expMin = 0
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30 expMax = 0
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31 obsValuesList = iStat.getValuesList()
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32 obsSum = iStat.getSum()
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33 obsSum2 = iStat.getSumOfSquares()
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34 obsN = iStat.getValuesNumber()
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35 obsMin = iStat.getMin()
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36 obsMax = iStat.getMax()
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37 self.assertEquals(expValuesList, obsValuesList)
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38 self.assertEquals(expSum, obsSum)
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39 self.assertEquals(expSum2, obsSum2)
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40 self.assertEquals(expN, obsN)
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41 self.assertEquals(expMin, obsMin)
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42 self.assertEquals(expMax, obsMax)
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43
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44 def test_add_EmptyList(self):
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45 lValues = []
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46 iStat = Stat(lValues)
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47 iStat.add(5)
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48 expValuesList = [5]
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49 expSum = 5
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50 expSum2 = 25
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51 expN = 1
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52 expMin = 5
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53 expMax = 5
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54 obsValuesList = iStat.getValuesList()
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55 obsSum = iStat.getSum()
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56 obsSum2 = iStat.getSumOfSquares()
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57 obsN = iStat.getValuesNumber()
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58 obsMin = iStat.getMin()
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59 obsMax = iStat.getMax()
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60 self.assertEquals(expValuesList, obsValuesList)
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61 self.assertEquals(expSum, obsSum)
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62 self.assertEquals(expSum2, obsSum2)
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63 self.assertEquals(expN, obsN)
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64 self.assertEquals(expMin, obsMin)
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65 self.assertEquals(expMax, obsMax)
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66
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67 def test_add_Max(self):
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68 lValues = [0,1,1]
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69 iStat = Stat(lValues)
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70 iStat.add(2)
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71 expValuesList = [0,1,1,2]
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72 expSum = 4
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73 expSum2 = 6
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74 expN = 4
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75 expMin = 0
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76 expMax = 2
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77 obsValuesList = iStat.getValuesList()
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78 obsSum = iStat.getSum()
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79 obsSum2 = iStat.getSumOfSquares()
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80 obsN = iStat.getValuesNumber()
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81 obsMin = iStat.getMin()
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82 obsMax = iStat.getMax()
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83 self.assertEquals(expValuesList, obsValuesList)
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84 self.assertEquals(expSum, obsSum)
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85 self.assertEquals(expSum2, obsSum2)
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86 self.assertEquals(expN, obsN)
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87 self.assertEquals(expMin, obsMin)
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88 self.assertEquals(expMax, obsMax)
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89
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90 def test_add_Min(self):
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91 lValues = [2,1,1]
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92 iStat = Stat(lValues)
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93 iStat.add(0)
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94 expValuesList = [2,1,1,0]
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95 expSum = 4
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96 expSum2 = 6
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97 expN = 4
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98 expMin = 0
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99 expMax = 2
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100 obsValuesList = iStat.getValuesList()
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101 obsSum = iStat.getSum()
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102 obsSum2 = iStat.getSumOfSquares()
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103 obsN = iStat.getValuesNumber()
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104 obsMin = iStat.getMin()
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105 obsMax = iStat.getMax()
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106 self.assertEquals(expValuesList, obsValuesList)
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107 self.assertEquals(expSum, obsSum)
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108 self.assertEquals(expSum2, obsSum2)
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109 self.assertEquals(expN, obsN)
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110 self.assertEquals(expMin, obsMin)
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111 self.assertEquals(expMax, obsMax)
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112
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113 def test_fill_emptyList(self):
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114 lValues = [2,1,1]
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115 iStat = Stat(lValues)
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116 iStat.fill([])
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117 expValuesList = [2,1,1]
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118 expSum = 4
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119 expSum2 = 6
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120 expN = 3
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121 expMin = 1
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122 expMax = 2
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123 obsValuesList = iStat.getValuesList()
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124 obsSum = iStat.getSum()
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125 obsSum2 = iStat.getSumOfSquares()
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126 obsN = iStat.getValuesNumber()
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127 obsMin = iStat.getMin()
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128 obsMax = iStat.getMax()
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129 self.assertEquals(expValuesList, obsValuesList)
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130 self.assertEquals(expSum, obsSum)
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131 self.assertEquals(expSum2, obsSum2)
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132 self.assertEquals(expN, obsN)
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133 self.assertEquals(expMin, obsMin)
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134 self.assertEquals(expMax, obsMax)
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135
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136 def test_fill(self):
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137 lValues = [2, 1, 1]
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138 iStat = Stat(lValues)
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139 iStat.fill([4, 0])
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140 expValuesList = [2, 1, 1, 4, 0]
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141 expSum = 8
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142 expSum2 = 22
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143 expN = 5
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144 expMin = 0
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145 expMax = 4
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146 obsValuesList = iStat.getValuesList()
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147 obsSum = iStat.getSum()
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148 obsSum2 = iStat.getSumOfSquares()
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149 obsN = iStat.getValuesNumber()
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150 obsMin = iStat.getMin()
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151 obsMax = iStat.getMax()
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152 self.assertEquals(expValuesList, obsValuesList)
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153 self.assertEquals(expSum, obsSum)
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154 self.assertEquals(expSum2, obsSum2)
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155 self.assertEquals(expN, obsN)
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156 self.assertEquals(expMin, obsMin)
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157 self.assertEquals(expMax, obsMax)
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158
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159 def test_mean_emptyList(self):
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160 lValues = []
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161 iStat = Stat(lValues)
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162 expMean = 0
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163 obsMean = iStat.mean()
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164 self.assertEquals(expMean, obsMean)
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165
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166 def test_mean(self):
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167 lValues = [0, 1]
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168 iStat = Stat(lValues)
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169 expMean = 0.5
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170 obsMean = iStat.mean()
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171 self.assertEquals(expMean, obsMean)
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172
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173 def test_var_emptyList(self):
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174 lValues = []
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175 iStat = Stat(lValues)
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176 expVar = 0
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177 obsVar = iStat.var()
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178 self.assertEquals(expVar, obsVar)
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179
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180 def test_var(self):
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181 lValues = [1, 1, 2]
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182 iStat = Stat(lValues)
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183 expVar = round(1/float(3), 5)
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184 obsVar = round(iStat.var(), 5)
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185 self.assertEquals(expVar, obsVar)
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186
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187 def test_var2(self):
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188 lValues = [1,6,3,4,9,6]
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189 iStat = Stat(lValues)
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190 expVar = 7.76667
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191 obsVar = round(iStat.var(), 5)
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192 self.assertEquals(expVar, obsVar)
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193
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194 def test_var_null(self):
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195 lValues = [87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003]
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196 iStat = Stat(lValues)
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197 expVar = 0
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198 obsVar = round(iStat.var(),5)
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199 self.assertEquals(expVar, obsVar)
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200
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201 def test_sd(self):
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202 lValues = [1, 1, 2]
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203 iStat = Stat(lValues)
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204 expSd = round(0.577350269, 5)
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205 obsSd = round(iStat.sd(), 5)
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206 self.assertEquals(expSd, obsSd)
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207
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208 def test_sd_null(self):
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209 lValues = [87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003, 87.340000000000003]
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210 iStat = Stat(lValues)
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211 expSd = 0
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212 obsSd = round(iStat.sd(), 5)
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213 self.assertEquals(expSd, obsSd)
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214
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215 def test_cv(self):
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216 lValues = [1, 1, 2]
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217 iStat = Stat(lValues)
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218 expSd = round(0.433012702, 5)
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219 obsSd = round(iStat.cv(), 5)
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220 self.assertEquals(expSd, obsSd)
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221
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222 def test_cv_mean_is_nul(self):
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223 lValues = [1, -1]
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224 iStat = Stat(lValues)
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225 expSd = 0
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226 obsSd = iStat.cv()
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227 self.assertEquals(expSd, obsSd)
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228
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229 def test_median_emptyList(self):
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230 lValues = []
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231 iStat = Stat(lValues)
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232 expMedian = "NA"
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233 obsMedian = iStat.median()
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234 self.assertEquals(expMedian, obsMedian)
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235
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236 def test_median_even(self):
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237 lValues = [1, 2, 3, 4, 1, 2, 54, 6, 7]
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238 iStat = Stat(lValues)
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239 expMedian = 3
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240 obsMedian = iStat.median()
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241 self.assertEquals(expMedian, obsMedian)
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242
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243 def test_median_odd(self):
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244 lValues = [1, 2, 3, 4, 2, 54, 6, 7]
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245 iStat = Stat(lValues)
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246 expMedian = 3.5
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247 obsMedian = iStat.median()
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248 self.assertEquals(expMedian, obsMedian)
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249
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250 def test_kurtosis_flat(self):
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251 lValues = [1, 1, 1]
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252 iStat = Stat(lValues)
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253 expKurtosis = 0
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254 obsKurtosis = iStat.kurtosis()
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255 self.assertEquals(expKurtosis, obsKurtosis)
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256
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257 def test_kurtosis_peak(self):
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258 lValues = [1, 100, -5]
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259 iStat = Stat(lValues)
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260 expKurtosis = round(712872278.6609683, 2)
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261 obsKurtosis = round(iStat.kurtosis(), 2)
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262 self.assertEquals(expKurtosis, obsKurtosis)
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263
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264 def test_kurtosis_normal(self):
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265 lValues = [-1, 0, 1.64, 1.64, 0, -1]
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266 iStat = Stat(lValues)
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267 expKurtosis = 3.0
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268 obsKurtosis = round(iStat.kurtosis(), 1)
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269 self.assertEquals(expKurtosis, obsKurtosis)
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270
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271 def test_sort(self):
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272 lValues = [-1, 0, 1.64, 1.64, 0, -1]
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273 iStat = Stat(lValues)
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274 expSort = [-1, -1, 0, 0, 1.64, 1.64]
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275 obsSort = iStat.sort()
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276 self.assertEquals(expSort, obsSort)
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277
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278 def test_sort_reverse(self):
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279 lValues = [-1, 0, 1.64, 1.64, 0, -1]
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280 iStat = Stat(lValues)
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281 expSort = [1.64, 1.64, 0, 0, -1, -1]
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282 obsSort = iStat.sort(True)
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283 self.assertEquals(expSort, obsSort)
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284
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285 def test_sort_emptyList(self):
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286 lValues = []
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287 iStat = Stat(lValues)
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288 expSort = []
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289 obsSort = iStat.sort()
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290 self.assertEquals(expSort, obsSort)
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291
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292 def test_quantile_emptyList(self):
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293 lValues = []
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294 iStat = Stat(lValues)
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295 expQuantile = 0
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296 obsQuantile = iStat.quantile(0.25)
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297 self.assertEquals(expQuantile, obsQuantile)
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298
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299 def test_quantile_0perc(self):
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300 lValues = [0, 2.64, 1.64, -1, 5]
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301 iStat = Stat(lValues)
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302 expQuantile = -1
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303 obsQuantile = iStat.quantile(0)
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304 self.assertEquals(expQuantile, obsQuantile)
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305
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306 def test_quantile_25perc(self):
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307 lValues = [0, 2.64, 1.64, -1, 5]
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308 iStat = Stat(lValues)
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309 expQuantile = 0
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310 obsQuantile = iStat.quantile(0.25)
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311 self.assertEquals(expQuantile, obsQuantile)
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312
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313 def test_quantile_41perc(self):
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314 lValues = [0, 2.64, 1.64, -1, 5]
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315 iStat = Stat(lValues)
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316 expQuantile = 1.64
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317 obsQuantile = iStat.quantile(0.41)
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318 self.assertEquals(expQuantile, obsQuantile)
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319
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320 def test_quantile_75perc(self):
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321 lValues = [0, 2.64, 1.64, -1, 5]
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322 iStat = Stat(lValues)
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323 expQuantile = 2.64
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324 obsQuantile = iStat.quantile(0.75)
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325 self.assertEquals(expQuantile, obsQuantile)
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326
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327 def test_quantile_81perc(self):
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328 lValues = [0, 2.64, 1.64, -1, 5]
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329 iStat = Stat(lValues)
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330 expQuantile = 5
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331 obsQuantile = iStat.quantile(0.81)
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332 self.assertEquals(expQuantile, obsQuantile)
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333
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334 def test_quantile_100perc(self):
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335 lValues = [0, 2.64, 1.64, -1, 5]
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336 iStat = Stat(lValues)
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337 expQuantile = 5
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338 obsQuantile = iStat.quantile(1)
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339 self.assertEquals(expQuantile, obsQuantile)
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340
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341 def test_N50(self):
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342 lValues = [10, 10, 2, 16, 3, 4, 5]
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343 iStat = Stat(lValues)
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344 expN50 = 10
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345 obsN50 = iStat.N50()
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346 self.assertEquals(expN50, obsN50)
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347
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348 def test_N50SpecialValues(self):
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349 lValues = [1, 100, 2, 3]
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350 iStat = Stat(lValues)
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351 expN50 = 100
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352 obsN50 = iStat.N50()
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353 self.assertEquals(expN50, obsN50)
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354
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355 if __name__ == "__main__":
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356 unittest.main() |
