65c6252f8b
* Breaking Changes
+ renamed MatrixProductState.partial_trace and MatrixProductState.ptr to
MatrixProductState.partial_trace_to_mpo to avoid confusion with other
partial_trace methods that usually produce a dense matrix.
* Enhancements:
+ tensor network fitting: add method="tree" for when ansatz is a tree -
tensor_network_fit_tree
+ tensor network fitting: fix method="als" for complex networks
+ tensor network fitting: allow method="als" to use a iterative solver
suited to much larger tensors, by default a custom conjugate gradient
implementation.
+ tensor_network_distance and fitting: support hyper indices explicitly
via output_inds kwarg
+ add tn.make_overlap and tn.overlap for computing the overlap between
two tensor networks, ⟨ O | T ⟩ , with explicit handling of outer
indices to address hyper networks. Add output_inds to tn.norm and
tn.make_norm also, as well as the squared kwarg.
+ replace all numba based paralellism (prange and parallel vectorize)
with explicit thread pool based parallelism. Should be more reliable
and no need to set NUMBA_NUM_THREADS anymore. Remove env var
QUIMB_NUMBA_PAR.
+ Circuit: add dtype and convert_eager options. dtype specifies what the
computation should be performed in. convert_eager specifies whether to
apply this (and any to_backend calls) as soon as gates are applied
(the default for MPS circuit simulation) or just prior to contraction
(the default for exact contraction simulation).
+ tn.full_simplify: add check_zero (by default set of "auto") option
which explicitly checks for zero tensor norms when equalizing norms to
avoid log10(norm) resulting in -inf or nan. Since it creates a data
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-quimb?expand=0&rev=23
111 lines
3.4 KiB
RPMSpec
111 lines
3.4 KiB
RPMSpec
#
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# spec file for package python-quimb
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#
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# Copyright (c) 2025 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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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == ""
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%define psuffix %{nil}
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%bcond_with test
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BuildArch: noarch
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%else
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%bcond_without test
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%define psuffix -%{flavor}
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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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%endif
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Name: python-quimb%{psuffix}
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Version: 1.10.0
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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 hatch_vcs}
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BuildRequires: %{python_module hatchling}
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BuildRequires: %{python_module pip}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-autoray >= 0.6.12
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Requires: python-cotengra >= 0.6.1
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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 >= 2.3
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Suggests: python-mpi4py
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Suggests: python-petsc4py
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Suggests: python-slepc4py
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%if %{with test}
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BuildRequires: %{python_module quimb = %{version}}
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##
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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 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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%endif
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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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%if !%{with test}
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export SETUPTOOLS_SCM_PRETEND_VERSION=%{version}
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%pyproject_wheel
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%endif
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%install
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%if !%{with test}
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%endif
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%if %{with test}
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%check
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mv quimb quimb.movedsrc
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# precision comparison slightly out of tolerance: this one is permament, others are flaky (rerun them)
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donttest="(test_subtract_update and float32) or test_contract_double_loopy_approx"
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donttest+=" or test_cyclic_solve_big_with_segmenting"
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%pytest -n auto --reruns 3 -k "not ($donttest)"
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%endif
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%if !%{with test}
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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_sitelib}/quimb
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%{python_sitelib}/quimb-%{version}.dist-info
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%endif
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%changelog
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