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Add Kahan-Babuška Summation Algorithm and Enhance Variance Indicator Tests
- Introduced a new `Sum` class implementing the Kahan-Babuška algorithm for high-precision rolling summation. - Added comprehensive documentation for the `Sum` class, detailing its mathematical foundation, performance profile, and use cases. - Refactored `VarianceIndicator` tests to improve clarity and coverage, including checks for different source types and the ability to change properties. - Enhanced `UsfIndicator` tests to validate initialization, processing of updates, and property changes. - Updated `UsfIndicator` implementation to simplify source handling and improve short name generation. - Modified Qodana configuration to exclude unused auto property accessor warnings.
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| **Median (Statistical)** | [Median](../lib/statistics/median/Median.md) | ✔️ | - | - | - |
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| **Skewness** | [Skew](../lib/statistics/skew/Skew.md) | ✔️ | - | - | - |
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| **Standard Deviation** | [StdDev](../lib/statistics/stddev/StdDev.md) | ✔️ | ✔️ | ✔️ | ✔️ |
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| **Variance** | [Variance](../lib/statistics/variance/Variance.md) | ✔️ | ✔️ | ✔️ | ✔️ |
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| **Sum (Rolling)** | [Sum](../lib/statistics/sum/Sum.md) | - | ✔️ | ✔️ | - |
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| **Variance** | [Variance](../lib/statistics/variance/Variance.md) | ✔️ | ✔️ | ✔️ | ✔️ |
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