Accepting request 1061175 from home:bnavigator:branches:devel:languages:python:numeric
- Update to v1.4.2
* no relevant code changes for openSUSE users
- Release v1.4.1
## Enhancements
* unify much functionality from 1D, 2D and 3D into general
arbitrary geometry class
quimb.tensor.tensor_arbgeom.TensorNetworkGen
* refactor contraction, allowing using cotengra directly
* add visualize() for visualizing the actual data entries of an
arbitrarily high dimensional tensor
* add Gate class for more robust tracking and manipulation of
gates in quantum Circuit simulation
* tweak TN drawing style and layout
* tweak default gauging options of compressed contraction
* add compute_hierarchical_grouping()
* add as_network()
* add inds_size()
* add get_hyperinds()
* add outer_size()
* improve group_inds()
* refactor tensor decompositiona and ‘isometrization’ methods
* begin supporting pytree specifications in TNOptimizer, e.g. for
constants
* add experimental submodule for new sharing features
* register tensor and tensor network objects with jax pytree
interface (PR150)
* update CI infrastructure
## Bug fixes:
* fix force atlas 2 and weight_attr bug (GH126)
* allow unpickling of PTensor objects (GH128, PR131)
OBS-URL: https://build.opensuse.org/request/show/1061175
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-quimb?expand=0&rev=9
This commit is contained in:
Git OBS Bridge
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@ -1,3 +1,50 @@
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-------------------------------------------------------------------
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Sat Jan 14 11:35:41 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to v1.4.2
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* no relevant code changes for openSUSE users
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- Release v1.4.1
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## Enhancements
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* unify much functionality from 1D, 2D and 3D into general
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arbitrary geometry class
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quimb.tensor.tensor_arbgeom.TensorNetworkGen
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* refactor contraction, allowing using cotengra directly
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* add visualize() for visualizing the actual data entries of an
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arbitrarily high dimensional tensor
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* add Gate class for more robust tracking and manipulation of
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gates in quantum Circuit simulation
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* tweak TN drawing style and layout
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* tweak default gauging options of compressed contraction
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* add compute_hierarchical_grouping()
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* add as_network()
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* add inds_size()
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* add get_hyperinds()
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* add outer_size()
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* improve group_inds()
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* refactor tensor decompositiona and ‘isometrization’ methods
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* begin supporting pytree specifications in TNOptimizer, e.g. for
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constants
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* add experimental submodule for new sharing features
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* register tensor and tensor network objects with jax pytree
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interface (PR150)
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* update CI infrastructure
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## Bug fixes:
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* fix force atlas 2 and weight_attr bug (GH126)
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* allow unpickling of PTensor objects (GH128, PR131)
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- Release v1.4.0
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## Enhancements
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* Add 2D tensor network support and algorithms
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* Add 3D tensor network infrastructure
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* Add arbitrary geometry quantum state infrastructure
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* Many changes to TNOptimizer
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* Many changes to TN drawing
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* Many changes to Circuit simulation
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* Many improvements to TN simplification
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* Make all tag and index operations deterministic
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* Add tensor_network_sum(), tensor_network_distance() and fit()
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* Various memory and performance improvements
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* Various graph generators and TN builders
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-------------------------------------------------------------------
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Fri Feb 5 20:13:46 UTC 2021 - Benjamin Greiner <code@bnavigator.de>
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@ -1,7 +1,7 @@
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#
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# spec file for package python-quimb
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#
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# Copyright (c) 2020 SUSE LLC
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# Copyright (c) 2023 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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@ -16,48 +16,51 @@
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#
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%define packagename quimb
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%define skip_python2 1
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%define skip_python36 1
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-quimb
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Version: 1.3.0
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Version: 1.4.2
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Release: 0
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Summary: Python library for quantum information and many-body calculations
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License: Apache-2.0
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URL: https://quimb.readthedocs.io/
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Source: https://github.com/jcmgray/quimb/archive/%{version}.tar.gz#/%{packagename}-%{version}.tar.gz
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BuildRequires: %{python_module autoray >= 0.1}
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BuildRequires: %{python_module cytoolz >= 0.8.0}
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BuildRequires: %{python_module matplotlib}
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BuildRequires: %{python_module networkx}
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BuildRequires: %{python_module numba >= 0.39}
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BuildRequires: %{python_module numpy >= 1.17}
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BuildRequires: %{python_module opt-einsum >= 2}
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BuildRequires: %{python_module psutil >= 4.3.1}
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BuildRequires: %{python_module pytest-cov}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy >= 1.0.0}
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Source: https://github.com/jcmgray/quimb/archive/%{version}.tar.gz#/quimb-%{version}.tar.gz
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module tqdm >= 4}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-autoray >= 0.1
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Requires: python-cytoolz >= 0.8.0
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Requires: python-matplotlib
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Requires: python-networkx
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Requires: python-numba >= 0.39
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Requires: python-numpy >= 1.17
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Requires: python-opt-einsum >= 2
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Requires: python-psutil >= 4.3.1
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Requires: python-scipy >= 1.0.0
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Requires: python-tqdm >= 4
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Requires(post): update-alternatives
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Requires(postun): update-alternatives
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Requires(postun):update-alternatives
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Recommends: python-autoray >= 0.5.1
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Recommends: python-diskcache >= 3.0
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Recommends: python-matplotlib >= 2
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Recommends: python-networkx
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Recommends: python-opt-einsum >= 3.2
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Suggests: python-mpi4py
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Suggests: python-petsc4py
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Suggests: python-randomgen >= 1.18
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Suggests: python-slepc4py
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# SECTION test
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BuildRequires: %{python_module pytest}
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# runtime
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BuildRequires: %{python_module cytoolz >= 0.8.0}
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BuildRequires: %{python_module numba >= 0.39}
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BuildRequires: %{python_module numpy >= 1.17}
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BuildRequires: %{python_module psutil >= 4.3.1}
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BuildRequires: %{python_module scipy >= 1.0.0}
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BuildRequires: %{python_module tqdm >= 4}
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# extra
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BuildRequires: %{python_module autoray >= 0.5.1}
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BuildRequires: %{python_module diskcache >= 3.0}
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BuildRequires: %{python_module matplotlib >= 2}
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BuildRequires: %{python_module networkx >= 2.3}
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BuildRequires: %{python_module opt-einsum >= 3.2}
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# /SECTION
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# This package does not support 32 bit arch, s390x fails too
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ExcludeArch: %ix86 %arm ppc s390x
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%python_subpackages
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@ -67,13 +70,14 @@ quimb is an easy but fast python library for quantum information and
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many-body calculations, including with tensor networks.
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%prep
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%setup -q -n %{packagename}-%{version}
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%setup -q -n quimb-%{version}
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sed -i '/addopts/d' setup.cfg
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%build
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%python_build
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%pyproject_wheel
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%install
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%python_install
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%pyproject_install
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%python_clone -a %{buildroot}%{_bindir}/quimb-mpi-python
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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@ -84,13 +88,14 @@ many-body calculations, including with tensor networks.
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%python_uninstall_alternative quimb-mpi-python
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%check
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%pytest
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# precision comparison slightly out of tolerance
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%pytest -k "not (test_subtract_update and float32)"
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%files %{python_files}
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%doc README.rst
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%license LICENSE.txt
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%python_alternative %{_bindir}/quimb-mpi-python
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%{python_sitelib}/*egg-info
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%{python_sitelib}/%{packagename}
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%{python_sitelib}/quimb-%{version}.dist-info
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%{python_sitelib}/quimb
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%changelog
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4efae89a67971dbbc5a2cf131bbe428767eb596f856fc494d96840f2b3d11a6d
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size 3744731
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3
quimb-1.4.2.tar.gz
Normal file
3
quimb-1.4.2.tar.gz
Normal file
@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:5dc5148228ab12cf8a466e569f59d63bcf098475bbe22605eb666eeb6f8b90b5
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size 6714052
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