v2.0.0

Second major version of pyerrors which comes with various new features and non-backward compatible changes. The most important novelties include:

• The ensemble/replica distinction was reworked, replica are now indicated by the vertical bar |.
• We now support error propagation and estimation for gapped or irregular data via the parameter idl.
• The inclusion of constants with errors is now possible via cov_Obs. We do not recommend using pseudo_Obs for this purpose anymore.
• pyerrors now supports error propagation for complex valued observables, so called CObs.
• Most workflows are now centered around the Corr class for correlation functions which provides methods for effective masses, derivatives of correlators, fits, the GEVP, ...
• The default data format for exchange and long term storage is now our new json.gz format. Julia I/O routines for compatibility with the ADerrors.jl implementation are also available at https://github.com/fjosw/ADjson.jl

All details can be found in the new documentation at https://fjosw.github.io/pyerrors/pyerrors.html or in the reworked examples.

Full Changelog: v1.1.0...v2.0.0