Matej Cepl
af919b099e
- Update to 1.7.3
## Enhancements:
* qu.randn: support dist="rademacher".
* support dist and other randn options in various TN builders.
## Bug fixes:
* restore fallback (to scipy.linalg.svd with driver='gesvd')
behavior for truncated SVD with numpy backend.
- Release 1.7.2
## Bug fixes:
* removed import of deprecated numba.generated_jit decorator.
## Enhancements:
* add normalized=True option to tensor_network_distance for
computing the normalized distance between tensor networks,
which is useful for convergence checks.
Tensor.distance_normalized and
TensorNetwork.distance_normalized added as aliases.
* add TensorNetwork.cut_bond for cutting a bond index
- Release v1.7.1
## Enhancements:
* add TensorNetwork.visualize_tensors for visualizing the actual
data entries of an entire tensor network.
* add ham.build_mpo_propagator_trotterized for building a
trotterized propagator from a local 1D hamiltonian. This also
includes updates for creating 'empty' tensor networks using
TensorNetwork.new, and building up gates from empty tensor
networks using TensorNetwork.gate_inds_with_tn.
* add more options to Tensor.expand_ind and Tensor.new_ind:
repeat tiling mode and random padding mode.
* tensor decomposition: make eigh_truncated backend agnostic.
* tensor_compress_bond: add reduced="left" and reduced="right"
OBS-URL: https://build.opensuse.org/request/show/1152767
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-quimb?expand=0&rev=17
107 lines
3.6 KiB
RPMSpec
107 lines
3.6 KiB
RPMSpec
#
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# spec file for package python-quimb
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#
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# Copyright (c) 2024 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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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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Name: python-quimb
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Version: 1.7.3
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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/refs/tags/v%{version}.tar.gz#/quimb-%{version}.tar.gz
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools_scm}
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BuildRequires: %{python_module setuptools}
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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 >= 0.6.7
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Requires: python-cotengra >= 0.5.6
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Requires: python-cytoolz >= 0.8.0
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Requires: python-numba >= 0.39
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Requires: python-numpy >= 1.17
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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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Recommends: python-diskcache >= 3.0
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Recommends: python-matplotlib >= 2
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Recommends: python-networkx
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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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# This package does not support 32 bit arch, s390x fails too
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ExcludeArch: %{ix86} %{arm} ppc s390x
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# SECTION test
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BuildRequires: %{python_module autoray >= 0.6.7}
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BuildRequires: %{python_module cotengra >= 0.5.6}
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BuildRequires: %{python_module cytoolz >= 0.8.0}
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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 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 pytest-rerunfailures}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy >= 1.0.0}
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BuildRequires: %{python_module tqdm >= 4}
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# /SECTION
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BuildArch: noarch
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%python_subpackages
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%description
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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 quimb-%{version}
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sed -i '/addopts/d' pyproject.toml
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%build
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export SETUPTOOLS_SCM_PRETEND_VERSION=%{version}
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%pyproject_wheel
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%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}%{$python_sitelib}
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%post
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%python_install_alternative quimb-mpi-python
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%postun
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%python_uninstall_alternative quimb-mpi-python
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%check
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# precision comparison slightly out of tolerance: this one is permament, others are flaky (rerun them)
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donttest="(test_subtract_update and float32)"
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%pytest -n auto --reruns 3 -k "not ($donttest)"
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%files %{python_files}
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%doc README.md
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%license LICENSE.txt
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%python_alternative %{_bindir}/quimb-mpi-python
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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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