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19
CHANGELOG.md
19
CHANGELOG.md
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@ -2,30 +2,39 @@
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All notable changes to this project will be documented in this file.
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All notable changes to this project will be documented in this file.
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## [2.0.0] - 2021-??-??
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## [2.0.0] - 2022-??-??
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### Added
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### Added
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- The possibility to work with Monte Carlo histories which are evenly or unevenly spaced was added.
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- `cov_Obs` added as a possibility to propagate the error of non Monte Carlo data together with Monte Carlo data.
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- `CObs` class added which can handle complex valued Markov chain Monte Carlo data and the corresponding error propagation.
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- `CObs` class added which can handle complex valued Markov chain Monte Carlo data and the corresponding error propagation.
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- 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`.
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- 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`.
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- The possibility to work with Monte Carlo histories which are evenly or unevenly spaced was added.
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- Support for a new `json.gz` file format was added
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- The Corr class now has additional methods like `reverse`, `T_symmetry`, `correlate` and `reweight`.
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- The Corr class now has additional methods like `reverse`, `T_symmetry`, `correlate` and `reweight`.
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- `linalg` module now has explicit functions `inv` and `cholesky`.
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- `Corr.m_eff` can now cope with periodic and anti-periodic correlation functions
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- Forward, backward and improved variants of the first and second derivative were added to the `Corr` class
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- The `linalg` module now has explicit functions `inv` and `cholesky`.
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- `Obs` objects now have methods `is_zero` and `is_zero_within_error` as well as overloaded comparison operations.
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- `Obs` objects now have methods `is_zero` and `is_zero_within_error` as well as overloaded comparison operations.
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- Functions to convert Obs data to or from jackknife was added.
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- Functions to convert Obs data to or from jackknife was added.
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- 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.
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- 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.
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- Additional input routines for npr data added to `input.hadrons`.
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- Additional input routines for npr data added to `input.hadrons`.
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- The `sfcf` and `openQCD` input modules can now handle all recent file type versions.
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- `extract_t0` can now visualize the extraction on the fly
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- Module added which provides the Dirac gamma matrices in the Grid convention.
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- Version number added.
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- Version number added.
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### Changed
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### Changed
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- The internal bookkeeping system for ensembles/replica was changed. The separator for replica is now `|`.
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- The internal bookkeeping system for ensembles/replica was changed. The separator for replica is now `|`.
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- The fit functions were renamed to `least_squares` and `total_least_squares`.
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- The fit functions were renamed to `least_squares` and `total_least_squares`.
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- The output of the fit functions is now a dedicated results class which keeps track of all relevant information
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- The fit functions can now deal with provided covariance matrices.
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- The fit functions can now deal with provided covariance matrices.
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- The convention for the fit range in the Corr class has been changed.
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- The convention for the fit range in the Corr class has been changed.
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- Obs.print was renamed to Obs.details and the output was improved.
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- Various method of the `Corr` class were renamed
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- `Obs.print` was renamed to `Obs.details` and the output was improved.
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- The default value for `Corr.prange` is now `None`.
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- The default value for `Corr.prange` is now `None`.
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- The `input` module was restructured to contain one submodule per data source.
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- The `input` module was restructured to contain one submodule per data source.
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- Performance of Obs.__init__ improved.
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- Performance of Obs.__init__ improved.
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### Deprecated
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### Removed
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- The function `plot_corrs` was deprecated as all its functionality is now contained within `Corr.show`
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- The function `plot_corrs` was deprecated as all its functionality is now contained within `Corr.show`
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- The kwarg `bias_correction` in `derived_observable` was removed
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- The kwarg `bias_correction` in `derived_observable` was removed
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- Obs no longer have an attribute `e_Q`
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- Obs no longer have an attribute `e_Q`
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@ -376,6 +376,24 @@ class Corr:
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"""Reverse the time ordering of the Corr"""
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"""Reverse the time ordering of the Corr"""
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return Corr(self.content[:: -1])
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return Corr(self.content[:: -1])
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def thin(self, spacing=2, offset=0):
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"""Thin out a correlator to suppress correlations
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Parameters
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----------
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spacing : int
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Keep only every 'spacing'th entry of the correlator
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offset : int
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Offset the equal spacing
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"""
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new_content = []
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for t in range(self.T):
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if (offset + t) % spacing != 0:
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new_content.append(None)
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else:
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new_content.append(self.content[t])
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return Corr(new_content)
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def correlate(self, partner):
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def correlate(self, partner):
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"""Correlate the correlator with another correlator or Obs
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"""Correlate the correlator with another correlator or Obs
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@ -283,3 +283,11 @@ def test_hankel():
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corr.Hankel(2)
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corr.Hankel(2)
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corr.Hankel(6, periodic=True)
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corr.Hankel(6, periodic=True)
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def test_thin():
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c = pe.Corr([pe.pseudo_Obs(i, .1, 'test') for i in range(10)])
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c *= pe.cov_Obs(1., .1, '#ren')
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thin = c.thin()
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thin.fit(lambda a, x: a[0] * x)
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c.thin(offset=1)
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c.thin(3, offset=1)
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