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Introduce TimeSeries, a pyarrow.Table-backed container supporting four bi-temporal data shapes (SIMPLE, VERSIONED, CORRECTED, AUDIT). Reuses shared enums and GeoLocation from the existing package rather than duplicating them. Adds a _TimeSeriesArrowReprMixin to _repr.py for terminal and HTML display, registers pyarrow as an optional dependency, exports TimeSeries and DataShape from the public API, and includes an example notebook (nb_11) covering all shapes, constructors, and pandas interop. Also fixes NameError in profiling call sites caused by an incomplete import alias refactor.
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Summary
TimeSeries, apyarrow.Table-backed time series container supporting four bi-temporal data shapes: SIMPLE, VERSIONED, CORRECTED, and AUDITDataType,TimeSeriesTypeenums andGeoLocationfrom the package instead of duplicating them_TimeSeriesArrowReprMixinto_repr.pyfor consistent terminal (Unicode box) and HTML (Jupyter) displayTimeSeriesandDataShapefrom the public API (__init__.py)pyarrow>=14.0as an optional dependency (pyarrow,all,devextras)nb_11_timeseries_arrow.ipynbcovering all shapes, both constructors, pandas interop, metadata, and insert validationNameErrorin profiling call sites caused by an incomplete import alias refactor (profiling→_profiling)