Incrementing the version number to 0.16.0 (#275)

* update CI

* bump version

.circleci/config.yml

@@ -74,7 +74,7 @@ jobs:
     docker:
       - image: circleci/python:3.6.12-stretch
     environment:
-      CIBW_SKIP: "pp* cp27-* cp34-* cp35-* cp36-* cp310-* *i686"
+      CIBW_BUILD: 'cp37-* cp38-* cp39-*'
       CIBW_BEFORE_BUILD_LINUX: pip install numpy==1.19.5 scipy cython
       CIBW_TEST_REQUIRES: numpy scipy pytest pytest-cov pytest-randomly
       CIBW_TEST_COMMAND: python -m pytest --randomly-seed=137 {project}/thewalrus
@@ -107,7 +107,7 @@ jobs:
     macos:
       xcode: "12.3.0"
     environment:
-      CIBW_SKIP: "pp* cp27-* cp34-* cp35-* cp36-* cp310-* *i686"
+      CIBW_BUILD: 'cp37-* cp38-* cp39-*'
       CIBW_ENVIRONMENT: "MACOSX_DEPLOYMENT_TARGET=10.9"
 
       CIBW_BEFORE_BUILD_MACOS: brew install gmp gcc libomp; pip install numpy==1.19.5 scipy cython

.github/CHANGELOG.md

@@ -1,47 +1,53 @@
-# Version 0.16.0-dev
+# Version 0.16.0
 
 ### New features
 
-* Adds the function `hafnian_sparse` to compute sparse loop hafnians (pure python implementation). [#245](https://github.com/XanaduAI/thewalrus/pull/245)
+* Adds the function `hafnian_sparse` to compute sparse loop hafnians (pure Python implementation). [#245](https://github.com/XanaduAI/thewalrus/pull/245)
 
-* ``symplectic.squeezing`` function is now generalized to multiple modes of single mode squeezing [#249](https://github.com/XanaduAI/thewalrus/pull/249)
+* The ``symplectic.squeezing`` function is now generalized to multiple modes of single mode squeezing. [#249](https://github.com/XanaduAI/thewalrus/pull/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](https://github.com/XanaduAI/thewalrus/pull/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](https://github.com/XanaduAI/thewalrus/pull/249)
 
-* ``torontonian_sample_state`` now can sample displaced Gaussian states [#248](https://github.com/XanaduAI/thewalrus/pull/248)
+* The ``torontonian_sample_state`` function now can sample displaced Gaussian states. [#248](https://github.com/XanaduAI/thewalrus/pull/248)
 
-* Adds the function `hafnian_banded` to calculate the hafnian of a banded matrix [#246](https://github.com/XanaduAI/thewalrus/pull/246)
+* Adds the function `hafnian_banded` to calculate the hafnian of a banded matrix. [#246](https://github.com/XanaduAI/thewalrus/pull/246)
 
-* Adds the functions `hermite_multidimensional_numba` and `grad_hermite_multidimensional_numba` to calculate renormalized multidimensional Hermite polynomials and its gradients using numba [#251](https://github.com/XanaduAI/thewalrus/pull/251)
+* Adds the functions `hermite_multidimensional_numba` and `grad_hermite_multidimensional_numba` to calculate renormalized multidimensional Hermite polynomials and its gradients using numba. [#251](https://github.com/XanaduAI/thewalrus/pull/251)
 
-* Adds the functions `mzgate` and `grad_mzgate` to calculate the Fock representation of the Mach-Zehnder gate and its gradients [#257](https://github.com/XanaduAI/thewalrus/pull/257)
+* Adds the functions `mzgate` and `grad_mzgate` to calculate the Fock representation of the Mach-Zehnder gate and its gradients. [#257](https://github.com/XanaduAI/thewalrus/pull/257)
 
-* Adds the ability to calculate n-body photon number distributions using the function `n_body_marginals` [#253](https://github.com/XanaduAI/thewalrus/pull/253)
+* Adds the ability to calculate n-body photon number distributions using the function `n_body_marginals`. [#253](https://github.com/XanaduAI/thewalrus/pull/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](https://github.com/XanaduAI/thewalrus/pull/264)
+* 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](https://github.com/XanaduAI/thewalrus/pull/264)
 
-* Adds support for calculating the permanent using the BBFG algorithm [#267](https://github.com/XanaduAI/thewalrus/pull/267)
+* Adds support for calculating the permanent using the BBFG algorithm and changes this to the default method for calculating permanents. [#267](https://github.com/XanaduAI/thewalrus/pull/267)
 
-* Adds the ability to calculate click cumulants in threshold detection with the function `click_cumulant`  
-[#264](https://github.com/XanaduAI/thewalrus/pull/274)
+* Adds the ability to calculate click cumulants in threshold detection with the function `click_cumulant`. [#264](https://github.com/XanaduAI/thewalrus/pull/274)
 
 ### Improvements
 
-* Speeds up the calculation of photon number variances/covariances [#244](https://github.com/XanaduAI/thewalrus/pull/244)
+* Speeds up the calculation of photon number variances/covariances. [#244](https://github.com/XanaduAI/thewalrus/pull/244)
+
+* Updates documentation for the the `tor` function. [#265](https://github.com/XanaduAI/thewalrus/pull/265)
+
+* Numba methods for multidimensional hermite can now detect dtype automatically. [#271](https://github.com/XanaduAI/thewalrus/pull/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. 
+* Corrects bug in the function `photon_number_covar` that gave incorrect results when the covariance between two modes with finite displacements was calculated.
 [#264](https://github.com/XanaduAI/thewalrus/pull/264)
 
 * Fixes a bug in `setup.py` that would cause the build to fail when using miniforge for M1 macs.
 [#273](https://github.com/XanaduAI/thewalrus/pull/273)
 
+* Updates the `samples.generate_hafnian_sample` function to renormalizing probabilities. [#250](https://github.com/XanaduAI/thewalrus/pull/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](https://github.com/XanaduAI/thewalrus/pull/262) [#259](https://github.com/XanaduAI/thewalrus/pull/259). 
+* 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](https://github.com/XanaduAI/thewalrus/pull/262) [#259](https://github.com/XanaduAI/thewalrus/pull/259).
 
 ### Contributors
 

appveyor.yml

@@ -4,7 +4,7 @@ environment:
       APPVEYOR_SKIP_FINALIZE_ON_EXIT: true
       TEST_TIMEOUT: 1000
       CIBW_BEFORE_BUILD: pip install numpy==1.19.5 scipy cython
-      CIBW_SKIP: "cp27-* cp33-* cp34-* cp35-* cp36-* *win32"
+      CIBW_BUILD: 'cp37-* cp38-* cp39-*'
       CIBW_TEST_REQUIRES: "numpy scipy pytest pytest-cov pytest-randomly"
       CIBW_TEST_COMMAND: "python -m pytest --randomly-seed=137 {project}/thewalrus"
       CIBW_BUILD_VERBOSITY: 3

thewalrus/_version.py

@@ -1,4 +1,4 @@
-# Copyright 2019 Xanadu Quantum Technologies Inc.
+# Copyright 2019-2021 Xanadu Quantum Technologies Inc.
 
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -16,4 +16,4 @@
    Version number (major.minor.patch[-label])
 """
 
-__version__ = "0.16.0-dev"
+__version__ = "0.16.0"