Changelog¶
1.0.1 (2018-04-17)¶
- Fixed bug in characterize by flow and process
- Improved documentation and notebook
- Climate constants are now serialized
- Now also exchanges with 0 sum are correctly handled
- Temporalis accepted on JOSS with DOI:10.21105/joss.00612
1.0.0 (2018-03-06)¶
- Added
MultiDynamicLCA()
. - Added
create_climate_methods()
for dynamic climate metrics. - Added
time_dependent_LCA()
. - Dynamic climate methods take into account also forest regrowth.
DynamicLCA.calculate()
now traverses only once.TemporalDistribution
uses numpy datetimes.- Included Continuous Integration
- Several bugfixes
- Development moved to https://bitbucket.org/cardosan/brightway2-temporalis
0.6.1 (2014-XX-XX)¶
- Added
.flows()
and.processes()
methods to timeline. DynamicLCA.calculate()
now returns aTimeline
instance.Timeline
characterization now returns floating-point year values instead of datetimes.
0.6 (2014-12-09)¶
- FEATURE: Added
examples
directory. - Small bugfixes
0.5.1 (2014-12-05)¶
- Force conversion to correct numeric type in TemporalDistribution
0.5 (2014-12-05)¶
- Fix coproducts and substitution. Add tests.
0.4¶
- Use new TemporalDistribution instead of expanding each time element of temporal exchanges
0.3¶
- Improved DynamicLCA logging
0.2¶
- Rewrote dynamic IA format so that functions are stored as strings directly in the method data
- Allow for dynamic methods to split impact over time
0.1¶
Initial check-in.