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Initial commit: WayyDB columnar time-series database
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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",
]