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55- Updated to use numpy ` datetime64 ` to support a greater range of years beyond the 4-digit years supported by python's builtin ``datetime.date`
6+ - Custom ` Date ` and ` Timedelta ` objects as shims to make numpy datetime64 and timedelta64 act more like python ` datetime ` objects
67- Renamed formatters to converters for more flexibility / scope
7- - Support using different converters for input and output (new ` format ` and ` parse ` methods)
8- - Improve readme with example usage and disclaimers about current functionality
9- - Improve documentation for adding new converters
10- - Improve documentation for branching guidelines in contributing
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8+ - Support using different converters with new ` format ` and ` parse ` methods on ` Undate `
9+ - Improved EDTF support:
10+ - Support 5+ digit years with leading Y (thanks to numpy.datetime64)
11+ - Jupyter notebook demonstrating / validating EDTF support
12+ - Improved readme with example usage and disclaimers about current functionality
13+ - Improved documentation for adding new converters
14+ - Improved documentation for branching guidelines in contributing
15+ - Restructured sphinx documentation and added more code documentation
16+ - Added a project logo
17+ - Switch from black to ruff for pre-commit formatting
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1419### numpy impact
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