v0.3.0

• Renamed various variables. The main user-facing API change is database_date_dict -> database_dates. Others are mainly internal, see 991943c and 554a67c.
• Added a function to disaggregate the background LCI. This means that the aggregated biosphere flows of the upstream supply chains of temporal markets are distributed back to the original producers from the background database.
• Various speed improvements

v0.2.8

• version bump

v0.2.7.1

• Pin versions of bw

v0.2.7

• pinned specific versions of bw2data and bw2calc

v0.2.6

• Fixed rounding in dynamic_lcia to avoid duplicate entries in dynamic inventory

v0.2.5

• Added rounding to 3 decimal places for interpolation weights

v0.2.4

• Added support for passing Node objects to bw_timex.utils.get_exchange and bw_timex.utils.add_temporal_distribution_to_exchange.

v0.2.3

• Modified the date rounding behavior: Instead of always rounding off the dates in the timeline (using the resolution specified in temporal_grouping), we now round to the nearest year/month/day/hour (depending on temporal_grouping).
• Fixed interface to dynamic_characterization (see https://github.com/brightway-lca/dynamic_characterization/releases/tag/v1.0.0) and pinned version to >=1.0.0.

v0.2.2

• Added optional starting_datetime argument to TimexLCA.build_timeline explicitly. Before, it was buried in *args, which were passed to the underlying graph traversal (#93)
• Allow multiple calls of build_timeline using the same TimexLCA object, e.g., using different starting_datetime (#94)
• Fixed unintuitive rounding down of timestamps in dynamic characterization. 2024-12-31 would have been rounded to 2024, whereas 2025 makes more sense here. Now we round to the nearest year (21fa55b)

v0.2.1

• Added labels and units to the yaxis in TimexLCA.plot_dynamic_characterized_inventory()
• Fixed functions for creating labelled matrix representations