Hello Drew,
I think this should solve all our issues. In short:
* No migration
* Trixie version needs to be (<< 5.1.1-50)
* Forky starts with python-qutip version 5.1.1-50
* Forky starts with a new source package `python-qutip` for binary
packages `python3-qutip` and `python-qutip-doc`.
The source-binary package mapping looks like:
----------------------------------------------------------------------
-- Trixie
source package version binary package
qutip 5.1.1-2+really4.7.5 python3-qutip
python-qutip-doc
----------------------------------------------------------------------
-- Forky
source package version binary package
python-qutip 5.1.1-50 python3-qutip
python-qutip-doc
python-qutip-qip 0.4.0 python3-qutip-qip
python-qutip-qip-doc
python-qutip-qtrl 0.1.5 python3-qutip-qtrl
python-qutip-qtrl-doc
python-qutip-qoc 0.1.1 python3-qutip-qoc
python-qutip-qoc-doc
----------------------------------------------------------------------
The setup of the new source package `python-qutip` is not really
required, but it is my first package and I like to build it up from
scratch. Additionally I'm not happy with the branch structure of the
Git-repository `qutip`.
Instead, for the Git-repository `python-qutip` I plan to use a clone
of the upstream Git-repository configured with 2 Git-remotes: origin
and upstream. Instead of importing new tarballs into the branch
`upstream` it is just needed to pull the master branch from the
Git-remote `upstream`. Then the Git-tag `vX.Y.Z` can be duplicated as
Git-tag `upstream/X.Y.Z`. Followed by a merge into the Git-branch
`debian` which is the default branch of the Git-repository. After
adapting `debian/changelog`, etc Git-tag `debian/x.y.z-revision` can
be set.
Currently I need to find out, which tools are the best for this
workflow, as normally the tarball `python-qutip_5.1.1.origin.tar.gz`
is just a copy of `python-qutip-5.1.1.tar.gz`. Maybe
`git-buildpackage` is the tool I´m searching for.
I will close ITP Bug#1101766 for `python3-qutip-core` as 'Not needed
to package.'
Greets,
Dirk =)
On 3/31/25 6:11 PM, Dirk Lehmann wrote:
Hey Debian Science Team =D in the next hour/s I will report 8 ITPs for the new QuTiP packages to WNPP. As the Debian Science Policy directs, I will * X-Debbugs-Cc: <debian-science@lists.debian.org> Please DO NOT consider it as spam. To <debian-devel@lists.debian.org> I will just send a summary subsequently. You can review the ITPs at the end of this email in advance. Greets, Dirk =) ********************************************************************** * Package name : python3-qutip-core Version : 5.1.1 Upstream Contact: https://github.com/qutip/qutip/discussions * URL : https://qutip.org/ * License : BSD-3-Clause Programming Lang: Python Description : QuTiP: Quantum Toolbox in Python (core) QuTiP is open-source software for simulating the dynamics of open quantum systems. The QuTiP library depends on the excellent Numpy, Scipy, and Cython numerical packages. In addition, graphical output is provided by Matplotlib. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators. . This package installs the library `qutip` for Python 3. * Package name : python-qutip-core-doc Version : 5.1.1 Upstream Contact: https://github.com/qutip/qutip/discussions * URL : https://qutip.org/documentation.html * License : BSD-3-Clause Programming Lang: Python Description : QuTiP: Quantum Toolbox in Python (documentation) QuTiP is open-source software for simulating the dynamics of open quantum systems. The QuTiP library depends on the excellent Numpy, Scipy, and Cython numerical packages. In addition, graphical output is provided by Matplotlib. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators. . This package contains the documentation for `python-qutip-core`. ********************************************************************** * Package name : python3-qutip-qip Version : 0.4.0 Upstream Contact: https://github.com/qutip/qutip-qip/discussions * URL : https://qutip.org/ * License : BSD-3-Clause Programming Lang: Python Description : QuTiP package - Quantum Information Processing The qutip-qip package, QuTiP quantum information processing, aims at providing basic tools for quantum computing simulation both for simple quantum algorithm design and for experimental realization. Compared to other libraries for quantum information processing, qutip-qip puts additional emphasis on the physics layer and the interaction with the QuTiP core package `python3-qutip-core`. The package offers two different approaches for simulating quantum circuits, one with QubitCircuit calculating unitary evolution under quantum gates by matrix product, another called Processor using open system solvers in QuTiP to simulate noisy quantum device. . This package installs the library `qutip_qip` for Python 3. * Package name : python-qutip-qip-doc Version : 0.4.0 Upstream Contact: https://github.com/qutip/qutip-qip/discussions * URL : https://qutip-qip.readthedocs.io/ * License : BSD-3-Clause Programming Lang: PythonDescription : QuTiP package - Quantum Information Processing (documentation)The qutip-qip package, QuTiP quantum information processing, aims at providing basic tools for quantum computing simulation both for simple quantum algorithm design and for experimental realization. Compared to other libraries for quantum information processing, qutip-qip puts additional emphasis on the physics layer and the interaction with the QuTiP core package `python3-qutip-core`. The package offers two different approaches for simulating quantum circuits, one with QubitCircuit calculating unitary evolution under quantum gates by matrix product, another called Processor using open system solvers in QuTiP to simulate noisy quantum device. . This package contains the documentation for `python3-qutip-qip`. ********************************************************************** * Package name : python3-qutip-qtrl Version : 0.1.5 Upstream Contact: https://github.com/qutip/qutip-qtrl/issues * URL : https://qutip.org/ * License : BSD-3-Clause Programming Lang: Python Description : QuTiP package - Quantum Optimal Control The qutip-qtrl package, QuTiP quantum optimal control, aims at providing advanced tools for the optimal control of quantum devices. Compared to other libraries for quantum optimal control, qutip-qtrl puts additional emphasis on the physics layer and the interaction with the QuTiP core package `python3-qutip-core`. The package offers support for both the CRAB and GRAPE methods. . This package installs the library `qutip_qtrl` for Python 3. * Package name : python-qutip-qtrl-doc Version : 0.1.5 Upstream Contact: https://github.com/qutip/qutip-qtrl/issues * URL : https://qutip-qtrl.readthedocs.io/ * License : BSD-3-Clause Programming Lang: PythonDescription : QuTiP package - Quantum Optimal Control (documentation)The qutip-qtrl package, QuTiP quantum optimal control, aims at providing advanced tools for the optimal control of quantum devices. Compared to other libraries for quantum optimal control, qutip-qtrl puts additional emphasis on the physics layer and the interaction with the QuTiP core package `python3-qutip-core`. The package offers support for both the CRAB and GRAPE methods. . This package contains the documentation for `python3-qutip-qtrl`. ********************************************************************** * Package name : python3-qutip-qoc Version : 0.1.1 Upstream Contact: https://github.com/qutip/qutip-qoc/issues * URL : https://qutip.org/ * License : BSD-3-Clause Programming Lang: Python Description : QuTiP package - Advanced Quantum Optimal Control The qutip-qoc package builds up on the `python3-qutip-qtrl` package. . It enhances it by providing two additional algorithms to optimize analytically defined control functions. The first one is an extension of Gradient Optimization of Analytic conTrols (GOAT). The second one (JOPT) leverages QuTiPs version 5 new diffrax abilities to directly calculate gradients of JAX defined control functions using automatic differentiation. . The package also aims for a more general way of defining control problems with QuTiP and makes switching between the four control algorithms (GOAT, JOPT, and GRAPE and CRAB implemented in qutip-qtrl) very easy. . This package installs the library `qutip_qoc` for Python 3. * Package name : python-qutip-qoc-doc Version : 0.1.1 Upstream Contact: https://github.com/qutip/qutip-qoc/issues * URL : https://qutip-qoc.readthedocs.io/ * License : BSD-3-Clause Programming Lang: PythonDescription : QuTiP package - Advanced Quantum Optimal Control (documentation)The qutip-qoc package builds up on the `python3-qutip-qtrl` package. . It enhances it by providing two additional algorithms to optimize analytically defined control functions. The first one is an extension of Gradient Optimization of Analytic conTrols (GOAT). The second one (JOPT) leverages QuTiPs version 5 new diffrax abilities to directly calculate gradients of JAX defined control functions using automatic differentiation. . The package also aims for a more general way of defining control problems with QuTiP and makes switching between the four control algorithms (GOAT, JOPT, and GRAPE and CRAB implemented in qutip-qtrl) very easy. . This package contains the documentation for `python3-qutip-qoc`. **********************************************************************
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