ionelmc /
pytest-benchmark
| @@ 127-142 (lines=16) @@ | ||
| 124 | else: # Method 2 |
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| 125 | return statistics.median(data[:rounds // 2]) |
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| 126 | ||
| 127 | @cached_property |
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| 128 | def q3(self): |
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| 129 | rounds = self.rounds |
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| 130 | data = self.sorted_data |
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| 131 | ||
| 132 | # See: https://en.wikipedia.org/wiki/Quartile#Computing_methods |
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| 133 | if rounds == 1: |
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| 134 | return data[0] |
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| 135 | elif rounds % 2: # Method 3 |
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| 136 | n, q = rounds // 4, rounds % 4 |
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| 137 | if q == 1: |
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| 138 | return 0.75 * data[3 * n] + 0.25 * data[3 * n + 1] |
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| 139 | else: |
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| 140 | return 0.25 * data[3 * n + 1] + 0.75 * data[3 * n + 2] |
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| 141 | else: # Method 2 |
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| 142 | return statistics.median(data[rounds // 2:]) |
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| 143 | ||
| 144 | @cached_property |
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| 145 | def iqr(self): |
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| @@ 110-125 (lines=16) @@ | ||
| 107 | else: |
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| 108 | return self.sorted_data[pos] |
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| 109 | ||
| 110 | @cached_property |
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| 111 | def q1(self): |
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| 112 | rounds = self.rounds |
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| 113 | data = self.sorted_data |
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| 114 | ||
| 115 | # See: https://en.wikipedia.org/wiki/Quartile#Computing_methods |
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| 116 | if rounds == 1: |
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| 117 | return data[0] |
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| 118 | elif rounds % 2: # Method 3 |
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| 119 | n, q = rounds // 4, rounds % 4 |
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| 120 | if q == 1: |
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| 121 | return 0.25 * data[n - 1] + 0.75 * data[n] |
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| 122 | else: |
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| 123 | return 0.75 * data[n] + 0.25 * data[n + 1] |
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| 124 | else: # Method 2 |
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| 125 | return statistics.median(data[:rounds // 2]) |
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| 126 | ||
| 127 | @cached_property |
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| 128 | def q3(self): |
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