Version number bumped to 2.0.0, CHANGELOG updated.

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Fabian Joswig 2022-03-31 11:25:37 +01:00
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All notable changes to this project will be documented in this file.
## [2.0.0] - 2022-??-??
## [2.0.0] - 2022-03-31
### Added
- The possibility to work with Monte Carlo histories which are evenly or unevenly spaced was added.
- `cov_Obs` added as a possibility to propagate the error of non Monte Carlo data together with Monte Carlo data.
- `CObs` class added which can handle complex valued Markov chain Monte Carlo data and the corresponding error propagation.
- Matrix to matrix operations like the matrix inverse now also work for complex matrices and matrices containing entries that are not `Obs` but `float` or `int`.
- Support for a new `json.gz` file format was added
- Support for a new `json.gz` file format was added.
- The Corr class now has additional methods like `reverse`, `T_symmetry`, `correlate` and `reweight`.
- `Corr.m_eff` can now cope with periodic and anti-periodic correlation functions
- Forward, backward and improved variants of the first and second derivative were added to the `Corr` class
- The `linalg` module now has explicit functions `inv` and `cholesky`.
- `Corr.m_eff` can now cope with periodic and anti-periodic correlation functions.
- Forward, backward and improved variants of the first and second derivative were added to the `Corr` class.
- `GEVP` functionality of the `Corr` class was reworked and improved.
- The `linalg` module now has explicit functions `inv`, `cholesky` and `det`.
- `Obs` objects now have methods `is_zero` and `is_zero_within_error` as well as overloaded comparison operations.
- Functions to convert Obs data to or from jackknife was added.
- Alternative matrix multiplication routine `jack_matmul` was added to `linalg` module which makes use of the jackknife approximation and is much faster for large matrices.
- Functions to convert `Obs` data to or from jackknife was added.
- Alternative matrix multiplication routines `einsum` and `jack_matmul` were added to `linalg` module which make use of the jackknife approximation and are much faster for large matrices.
- Additional input routines for npr data added to `input.hadrons`.
- The `sfcf` and `openQCD` input modules can now handle all recent file type versions.
- `extract_t0` can now visualize the extraction on the fly
- `extract_t0` can now visualize the extraction on the fly.
- Module added which provides the Dirac gamma matrices in the Grid convention.
- Version number added.
### Changed
- The internal bookkeeping system for ensembles/replica was changed. The separator for replica is now `|`.
- The fit functions were renamed to `least_squares` and `total_least_squares`.
- The output of the fit functions is now a dedicated results class which keeps track of all relevant information
- The output of the fit functions is now a dedicated results class which keeps track of all relevant information.
- The fit functions can now deal with provided covariance matrices.
- `covariance` can now operate on a list or array of `Obs` and returns a matrix
- `covariance` can now operate on a list or array of `Obs` and returns a matrix. The covariance estimate by pyerrors is now always positive semi-definite (within machine precision. Various warnings and exceptions were added for cases in which estimated covariances are close to singular.
- The convention for the fit range in the Corr class has been changed.
- Various method of the `Corr` class were renamed
- Various method of the `Corr` class were renamed.
- `Obs.print` was renamed to `Obs.details` and the output was improved.
- The default value for `Corr.prange` is now `None`.
- The `input` module was restructured to contain one submodule per data source.
- Performance of Obs.__init__ improved.
### Removed
- The function `plot_corrs` was deprecated as all its functionality is now contained within `Corr.show`
- `fits.covariance_matrix` was removed as it is now redundant with the functionality of `covariance`
- The kwarg `bias_correction` in `derived_observable` was removed
- Obs no longer have an attribute `e_Q`
- Removed `fits.fit_exp`
- Removed jackknife module
- The function `plot_corrs` was deprecated as all its functionality is now contained within `Corr.show`.
- `fits.covariance_matrix` was removed as it is now redundant with the functionality of `covariance`.
- The kwarg `bias_correction` in `derived_observable` was removed.
- Obs no longer have an attribute `e_Q`.
- Removed `fits.fit_exp`.
- Removed jackknife module.
## [1.1.0] - 2021-10-11
### Added
- `Corr` class added
- `roots` module added which can find the roots of a function that depends on Monte Carlo data via pyerrors `Obs`
- `input/hadrons` module added which can read hdf5 files written by [Hadrons](https://github.com/aportelli/Hadrons)
- `read_rwms` can now read reweighting factors in the format used by openQCD-2.0
- `read_rwms` can now read reweighting factors in the format used by openQCD-2.0.
## [1.0.1] - 2020-11-03
### Fixed

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__version__ = "2.0.0-rc.3+dev"
__version__ = "2.0.0"

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from setuptools import setup, find_packages
setup(name='pyerrors',
version='2.0.0-rc.3+dev',
version='2.0.0',
description='Error analysis for lattice QCD',
author='Fabian Joswig',
author_email='fabian.joswig@ed.ac.uk',