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here is the log from the commit of package python-thewalrus for
openSUSE:Factory checked in at 2021-10-27 22:22:52
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Comparing /work/SRC/openSUSE:Factory/python-thewalrus (Old)
and /work/SRC/openSUSE:Factory/.python-thewalrus.new.1890 (New)
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Package is "python-thewalrus"
Wed Oct 27 22:22:52 2021 rev:4 rq:927848 version:0.16.2
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-thewalrus/python-thewalrus.changes
2021-02-21 22:14:40.614122468 +0100
+++
/work/SRC/openSUSE:Factory/.python-thewalrus.new.1890/python-thewalrus.changes
2021-10-27 22:22:53.419250470 +0200
@@ -1,0 +2,95 @@
+Wed Oct 27 08:01:52 UTC 2021 - Guillaume GARDET <guillaume.gar...@opensuse.org>
+
+- Update to version 0.16.2:
+ * Bug fixes
+ * hermite_multidimensional_numba can now handle a cutoff of
+ type np.ndarray with shape=[]. #283
+- Version 0.16.1:
+ * Improvements
+ * Faster implementation of hermite_multidimensional_numba and
+ hermite_multidimensional_numba_grad. #280
+ * Bug fixes
+ * Updates the samples.generate_torontonian_sample function to
+ ensure probabilities are normalized. #250
+ * Pins Numba to version <0.54 to avoid binary imcompatibilities
+ with the 1.21 release of NumPy. #250
+- Version 0.16.0:
+ * New features
+ * Adds the function hafnian_sparse to compute sparse loop hafnians
+ (pure Python implementation). #245
+ * The symplectic.squeezing function is now generalized to multiple
+ modes of single mode squeezing. #249
+ * Adds a function symplectic.passive_transformation which allows for
+ Gaussian states to be transformed by arbitrary non-unitary, non-square
+ linear optical transformations. #249
+ * The torontonian_sample_state function now can sample displaced
+ Gaussian states. #248
+ * Adds the function hafnian_banded to calculate the hafnian of a
+ banded matrix. #246
+ * Adds the functions hermite_multidimensional_numba and
+ grad_hermite_multidimensional_numba to calculate renormalized
+ multidimensional Hermite polynomials and its gradients using numba. #251
+ * Adds the functions mzgate and grad_mzgate to calculate the Fock
+ representation of the Mach-Zehnder gate and its gradients. #257
+ * Adds the ability to calculate n-body photon number distributions
+ using the function n_body_marginals. #253
+ * Adds the ability to calculate cumulants and arbitrary expectation
+ values of products of powers of photon numbers with the functions
+ photon_number_cumulant and photon_number_moment respectively. #264
+ * Adds support for calculating the permanent using the BBFG
+ algorithm and changes this to the default method for calculating
+ permanents. #267
+ * Adds the ability to calculate click cumulants in threshold
+ detection with the function click_cumulant. #264
+ * Improvements
+ * Speeds up the calculation of photon number variances/covariances. #244
+ * Updates documentation for the the tor function. #265
+ * Numba methods for multidimensional hermite can now detect
+ dtype automatically. #271
+ * Bug fixes
+ * Corrects bug in the function photon_number_covar that gave
+ incorrect results when the covariance between two modes with
+ finite displacements was calculated. #264
+ * Fixes a bug in setup.py that would cause the build to fail when
+ using miniforge for M1 macs. #273
+ * Updates the samples.generate_hafnian_sample function to renormalizing
+ probabilities. #250
+ * Breaking changes
+ * Torontonians and approximations to the hafnian for non-negative
+ matrices are no longer calculated in C++ using the Eigen software
+ library. Instead, they are now calculated in pure Python using Numba.
+ These changes have the nice result of making The Walrus compilable
+ from source using only a C++ compiler. #262 #259.
+- Version 0.15.1
+ * Bug fixes
+ * Builds The Walrus binaries against an older version of NumPy, to avoid
+ a breaking ABI change in NumPy 1.20. #240
+- Version 0.15.0
+ * New features
+ * Adds the function random_banded_interferometer to generate unitary
+ matrices with a given bandwidth. #208
+ * Adds the function tvd_cutoff_bounds to calculate bounds in the total
+ variation distance between a Fock-truncated and an ideal GBS
+ distribution. #210
+ * Adds function for calculating threshold detection probabilities
+ for Gaussian states with displacement. #220
+ * Adds new functions total_photon_number_distribution and
+ characteristic_function to study properties of the total photon
+ number distribution of a k identical lossy squeezers. #230
+ * Adds new functions xxpp_to_xpxp and xpxp_to_xxpp in the symplectic
+ module to swap the ordering of the quadrature operators in vectors
+ and matrices. #237
+ * Improvements
+ * The hafnians and loop hafnians of diagonal matrices are now calculated
+ in polynomial time. #212
+ * Refactors setup.py to avoid issues with CFLAGS. #229
+ * The fidelity function in quantum/gaussian_checks.py is rewritten to
+ add clarity. #226
+ * Simplifies logic of normal_ordered_expectation by removing mutually
+ cancelling np.conj. #228
+ * Bug fixes
+ * Removes unnecessary np.real_if_close statements in
quantum/fock_tensors.py
+ causing the probabilities to not be normalized. #215
+ * Fixes the prefactor in pure_state_amplitude. #231
+
+-------------------------------------------------------------------
Old:
----
thewalrus-0.14.0.tar.gz
New:
----
thewalrus-0.16.2.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-thewalrus.spec ++++++
--- /var/tmp/diff_new_pack.LeDx3y/_old 2021-10-27 22:22:54.055250795 +0200
+++ /var/tmp/diff_new_pack.LeDx3y/_new 2021-10-27 22:22:54.055250795 +0200
@@ -21,7 +21,7 @@
%define skip_python36 1
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
Name: python-thewalrus
-Version: 0.14.0
+Version: 0.16.2
Release: 0
Summary: An open-source software architecture for photonic quantum
computing
License: Apache-2.0
++++++ thewalrus-0.14.0.tar.gz -> thewalrus-0.16.2.tar.gz ++++++
++++ 8550 lines of diff (skipped)
