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Change Log

0.3.1

Update readthedocs config for current installation

0.3

  • Updated to use numpy datetime64 to support a greater range of years beyond the 4-digit years supported by python's builtin datetime.date
    • Custom Date and Timedelta objects as shims to make numpy datetime64 and timedelta64 act more like python datetime objects
  • Renamed formatters to converters for more flexibility / scope
  • Support using different converters with new format and parse methods on Undate
  • Improved EDTF support:
    • Support 5+ digit years with leading Y (thanks to numpy.datetime64)
    • Jupyter notebook demonstrating / validating EDTF support
      • Full support for Level 0 Date and Time Interval (no Date and Time support)
      • Level 1:
        • Letter-prefixed calendar year
        • Unspecified digit from the right
        • Partial support for extended interval
      • Level 2: unspecified digit anywhere in the date
  • Improved readme with example usage and disclaimers about current functionality
  • Improved documentation for adding new converters
  • Improved documentation for branching guidelines in contributing
  • Restructured sphinx documentation and added more code documentation
  • Added a project logo
  • Switch from black to ruff for pre-commit formatting

numpy impact

Performance differences seem to be negligible, but it does increase payload size. The virtualenv for installing version 0.2 was 14MB; when installing the newer version with numpy, the virtualenv is 46MB (the numpy folder in site packages is 31MB on its own).

0.2

  • Undate and UndateInterval now include an optional label for named dates or time periods
  • Support partially known dates with missing digits (e.g. 1991-1?-10)
  • Rich comparison checks for Undate
    • improved equality check; now supports comparing Undate object with day precision to datetime.date
    • implementations and tests for comparison, sorting and contains (>, <, >=, <=, and in)
  • static method to initialize an Undate object from a datetime.date (used for comparisons)
  • Example Jupyter notebook comparing Undate duration calculation against dates and durations in the Shakespeare and Company Project events dataset
  • Preliminary support for parsing Extended Date Time Format (EDTF) level 0 and some of level 1 and transforming into Undate objects
  • Dropped support for python 3.8; added python 3.12
  • Python type improvements and preliminary type checking with mypy

0.1

Pre-alpha version with preliminary Undate and UndateInterval classes with support for ISO8601 date format