Accepting request 1248539 from devel:languages:python:numeric

- Update to 1.10.0:
  * 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/request/show/1248539
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-quimb?expand=0&rev=11

python-quimb.changes

@@ -1,3 +1,79 @@
+-------------------------------------------------------------------
+Wed Feb 26 03:56:01 UTC 2025 - Steve Kowalik <steven.kowalik@suse.com>
+
+- Update to 1.10.0:
+  * 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
+      dependency that breaks e.g. jax tracing, it is optional.
+    + schematic.Drawing: add shorten kwarg to line drawing and curve drawing
+      and examples to {ref}schematic.
+    + TensorNetwork: add .backend and .dtype_name properties.
+    + add Circuit.sample_gate_by_gate and related methods
+      CircuitMPS.reordered_gates_dfs_clustered and
+      CircuitMPS.get_qubit_distances for sampling a circuit using the
+      'gate by gate' method introduced in https://arxiv.org/abs/2112.08499.
+    + add Circuit.draw for drawing a very simple circuit schematic.
+    + Circuit: by default turn on simplify_equalize_norms and use a
+      group_size=10 for sampling. This should result in faster and more
+      stable sampling.
+    + Circuit: use numpy.random.default_rng for random number generation.
+    + add qtn.circ_a2a_rand for generating random all-to-all circuits.
+    + expose qtn.edge_coloring as top level function and allow layers to be
+      returned grouped.
+    + add docstring for tn.contract_compressed and by default pick up
+      important settings from the supplied contraction path optimizer
+      (max_bond and compress_late)
+    + add Tensor.rand_reduce for randomly removing a tensor index by
+      contracting a random vector into it. One can also supply the value "r"
+      to isel selectors to use this.
+    + add fit-zipup and fit-projector shorthand methods to the general 1d
+      tensor network compression function
+    + add MatrixProductState.compute_local_expectation for computing many
+      local expectations for a MPS at once, to match the interface for this
+      method elsewhere. These can either be computed via canonicalization
+      (method="canonical"), or via explicit left and right environment
+      contraction (method="envs")
+    + specialize CircuitMPS.local_expectation to make use of the MPS form.
+    + add PEPS.product_state for constructing a PEPS representing a product
+      state.
+    + add PEPS.vacuum for constructing a PEPS representing the vacuum
+      state | 000 … 0 ⟩ .
+    + add PEPS.zeros for constructing a PEPS whose entries are all zero.
+    + tn.gauge_all_simple: improve scheduling and add damping and
+      touched_tids options.
+    + qtn.SimpleUpdateGen: add gauge difference update checking and tol and
+      equilibrate settings. Update .plot() method. Default to a small cutoff.
+    + add psi.sample_configuration_cluster for sampling a tensor network
+      using the simple update or cluster style environment approximation.
+    + add the new doc {ref}ex-circuit-sampling
+
 -------------------------------------------------------------------
 Mon Sep 23 19:48:30 UTC 2024 - Ben Greiner <code@bnavigator.de>
 

python-quimb.spec

@@ -1,7 +1,7 @@
 #
 # spec file for package python-quimb
 #
-# Copyright (c) 2024 SUSE LLC
+# Copyright (c) 2025 SUSE LLC
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -29,16 +29,15 @@ ExcludeArch:    %{ix86} %{arm} ppc s390x
 %endif
 
 Name:           python-quimb%{psuffix}
-Version:        1.8.4
+Version:        1.10.0
 Release:        0
 Summary:        Python library for quantum information and many-body calculations
 License:        Apache-2.0
 URL:            https://quimb.readthedocs.io/
 Source:         https://github.com/jcmgray/quimb/archive/refs/tags/v%{version}.tar.gz#/quimb-%{version}.tar.gz
+BuildRequires:  %{python_module hatch_vcs}
+BuildRequires:  %{python_module hatchling}
 BuildRequires:  %{python_module pip}
-BuildRequires:  %{python_module setuptools_scm}
-BuildRequires:  %{python_module setuptools}
-BuildRequires:  %{python_module wheel}
 BuildRequires:  fdupes
 BuildRequires:  python-rpm-macros
 Requires:       python-autoray >= 0.6.12
@@ -88,21 +87,15 @@ export SETUPTOOLS_SCM_PRETEND_VERSION=%{version}
 %install
 %if !%{with test}
 %pyproject_install
-%python_clone -a %{buildroot}%{_bindir}/quimb-mpi-python
 %python_expand %fdupes %{buildroot}%{$python_sitelib}
 %endif
 
-%post
-%python_install_alternative quimb-mpi-python
-
-%postun
-%python_uninstall_alternative quimb-mpi-python
-
 %if %{with test}
 %check
 mv quimb quimb.movedsrc
 # precision comparison slightly out of tolerance: this one is permament, others are flaky (rerun them)
-donttest="(test_subtract_update and float32)"
+donttest="(test_subtract_update and float32) or test_contract_double_loopy_approx"
+donttest+=" or test_cyclic_solve_big_with_segmenting"
 %pytest -n auto --reruns 3 -k "not ($donttest)"
 %endif
 
@@ -110,9 +103,8 @@ donttest="(test_subtract_update and float32)"
 %files %{python_files}
 %doc README.md
 %license LICENSE.txt
-%python_alternative %{_bindir}/quimb-mpi-python
-%{python_sitelib}/quimb-%{version}.dist-info
 %{python_sitelib}/quimb
+%{python_sitelib}/quimb-%{version}.dist-info
 %endif
 
 %changelog

quimb-1.10.0.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34d640ddefb0f69e053a4e86086b3a07ec078d8e304f72293598aa56eb9ec00a
+size 11575545

quimb-1.8.4.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b12e3c4741f21435a2c530f8ee963d2d6d935eb6138cf26a2c0db7867e3b3bde
-size 11566853