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| """ | |
| WayyDB Operations | |
| High-performance operations for time-series analysis: | |
| - Temporal joins (aj, wj) | |
| - SIMD aggregations (sum, avg, min, max, std) | |
| - Window functions (mavg, msum, mstd, ema, etc.) | |
| """ | |
| from wayy_db._core import ops as _ops | |
| # Re-export all operations from C++ module | |
| from wayy_db._core.ops import ( | |
| # Aggregations | |
| sum, | |
| avg, | |
| min, | |
| max, | |
| std, | |
| # Joins | |
| aj, | |
| wj, | |
| # Window functions | |
| mavg, | |
| msum, | |
| mstd, | |
| mmin, | |
| mmax, | |
| ema, | |
| diff, | |
| pct_change, | |
| shift, | |
| ) | |
| __all__ = [ | |
| # Aggregations | |
| "sum", | |
| "avg", | |
| "min", | |
| "max", | |
| "std", | |
| # Joins | |
| "aj", | |
| "wj", | |
| # Window functions | |
| "mavg", | |
| "msum", | |
| "mstd", | |
| "mmin", | |
| "mmax", | |
| "ema", | |
| "diff", | |
| "pct_change", | |
| "shift", | |
| ] | |