pypulseqpp

pypulseqpp is a fast drop-in replacement for PyPulseq, written in Python with a C++ backend. You write MR pulse sequences exactly as you write them in PyPulseq, and get back a sequence that is fast to build, check and write, however long it is. Change one line of your script,

import pypulseqpp as pp  # in place of: import pypulseq as pp

and it runs: the event factories, Opts and the Sequence methods keep PyPulseq's names, arguments and units. Underneath, the sequence is stored by a C++ core, so a scan of a million blocks is built, deduplicated and written in seconds.

You write the sequence; pypulseqpp does the rest. It stores and deduplicates your events, writes Pulseq text and binary files that any Pulseq interpreter plays, and checks the result against your scanner: timing, gradient amplitude and slew rate, peripheral nerve stimulation, mechanical resonances, acoustic noise and SAR.

pypulseqpp architecture

How it works

A Pulseq sequence is a list of blocks played back to back, and each block holds at most one event per channel: an RF pulse, a gradient on each axis, an ADC window, a delay. You build it in five steps:

Describe your scanner: field strength, gradient amplitude and slew-rate limits, raster times and dead times. This is the system object, a pp.Opts.
Design the events with the factories (pp.make_sinc_pulse, pp.make_trapezoid, pp.make_adc...). Each one is solved against system, so a gradient you ask for by its area comes back as the shortest trapezoid your hardware plays.
Add the events to the sequence block by block, in a loop over the lines of k-space.
Check it. seq.check_timing() checks every block against the rasters and dead times; the gradient, PNS, mechanical-resonance and SAR checks look at the whole scan.
Write the .seq file, and play it on the scanner through your vendor's Pulseq interpreter.

Here is a 2D gradient echo, written the PyPulseq way:

import numpy as np

import pypulseqpp as pp

system = pp.Opts(max_grad=32, grad_unit="mT/m", max_slew=130, slew_unit="T/m/s")
fov, n = 256e-3, 64

rf, gz, gz_reph = pp.make_sinc_pulse(
    flip_angle=np.deg2rad(15),
    duration=2e-3,
    slice_thickness=5e-3,
    time_bw_product=4,
    system=system,
    return_gz=True,
)
gx = pp.make_trapezoid("x", flat_area=n / fov, flat_time=3.2e-3, system=system)
adc = pp.make_adc(n, duration=gx.flat_time, delay=gx.rise_time, system=system)
gx_pre = pp.make_trapezoid("x", area=-gx.area / 2, duration=1e-3, system=system)

seq = pp.Sequence(system)
for line in range(n):
    gy_pre = pp.make_trapezoid(
        "y", area=(line - n / 2) / fov, duration=1e-3, system=system
    )
    seq.add_block(rf, gz)
    seq.add_block(gx_pre, gy_pre, gz_reph)
    seq.add_block(gx, adc)
    seq.add_block(pp.make_delay(10e-3))

ok, errors = seq.check_timing()
seq.write("gre.seq")

Sequences as functions

A script designs one protocol. Put the same code in a function of system and keyword arguments, and it designs any protocol you ask for:

def gre(system, *, fov=256e-3, n=64, flip_angle_deg=15.0) -> pp.Sequence:
    ...
    return seq

The keyword arguments are your protocol. Document each in a NumPy-style Parameters section, with its unit, and pp.cli.run(gre) turns them into a command line.
Return the sequence, or a list of sequences when the scan has prescans; the main sequence goes last.
This is the shape pulserver expects, so the same function becomes a sequence the operator edits in the scanner UI.

pypulseqpp ships 28 sequences written this way (gradient echo, spin echo, FSE, MPRAGE, bSSFP, EPI, ZTE, with Cartesian, radial, spiral and PROPELLER readouts), each one a module you can call or run from the command line:

from pypulseqpp import sequences

seq = sequences.gre2D_sequence(n_x=64, n_y=64)

python -m pypulseqpp.sequences.sequence.gre2D_sequence --help

They are built from sequence modules, ready-made excitations, preparations and readouts that you can reuse in your own functions.

The checks compute estimates. Passing them does not establish scanner or patient safety.

Installation

pip install pypulseqpp

Wheels are published for Linux x86-64, macOS (Apple silicon and x86-64) and Windows AMD64, Python 3.10 to 3.14.

Learn more

Course: ten lessons from a pulse-acquire experiment to your own sequence module.
Sequence catalogue: every shipped sequence, with its protocol and diagram.
From a PyPulseq script: your script, and the same script as a sequence function.
Documentation, for every option and API detail.

How to cite

pypulseqpp has no publication of its own. If you use it, please cite Pulseq and PyPulseq:

@article{layton2017pulseq,
  title   = {Pulseq: a rapid and hardware-independent pulse sequence prototyping framework},
  author  = {Layton, Kelvin J and Kroboth, Stefan and Jia, Feng and Littin, Sebastian
             and Yu, Huijun and Leupold, Jochen and Nielsen, Jon-Fredrik
             and St{\"o}cker, Tony and Zaitsev, Maxim},
  journal = {Magnetic Resonance in Medicine},
  volume  = {77},
  number  = {4},
  pages   = {1544--1552},
  year    = {2017},
  doi     = {10.1002/mrm.26235}
}

@article{ravi2019pypulseq,
  title   = {PyPulseq: A Python Package for MRI Pulse Sequence Design},
  author  = {Ravi, Keerthi Sravan and Geethanath, Sairam and Vaughan, John Thomas},
  journal = {Journal of Open Source Software},
  volume  = {4},
  number  = {42},
  pages   = {1725},
  year    = {2019},
  doi     = {10.21105/joss.01725}
}

License

MIT, except bundled or vendored third-party components, which keep their own licences. See License and third-party notices.

Metadata

Release files for pypulseqpp 0.0.41

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Source distribution (sdist)

Source distribution for pypulseqpp 0.0.41
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pypulseqpp-0.0.41.tar.gz	1.7 MB	Oct 12, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for pypulseqpp 0.0.41
File	Interpreter	ABI	Platform	Reset
pypulseqpp-0.0.41-cp314-cp314-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
pypulseqpp-0.0.41-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
pypulseqpp-0.0.41-cp314-cp314-macosx_11_0_arm64.whl 1.2 MB Oct 12, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
pypulseqpp-0.0.41-cp314-cp314-macosx_10_15_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.14	CPython 3.14	macOS 10.15+ x86-64	Details
pypulseqpp-0.0.41-cp313-cp313-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
pypulseqpp-0.0.41-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
pypulseqpp-0.0.41-cp313-cp313-macosx_11_0_arm64.whl 1.2 MB Oct 12, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
pypulseqpp-0.0.41-cp313-cp313-macosx_10_13_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
pypulseqpp-0.0.41-cp312-cp312-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
pypulseqpp-0.0.41-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
pypulseqpp-0.0.41-cp312-cp312-macosx_11_0_arm64.whl 1.2 MB Oct 12, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
pypulseqpp-0.0.41-cp312-cp312-macosx_10_13_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
pypulseqpp-0.0.41-cp311-cp311-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
pypulseqpp-0.0.41-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
pypulseqpp-0.0.41-cp311-cp311-macosx_11_0_arm64.whl 1.2 MB Oct 12, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
pypulseqpp-0.0.41-cp311-cp311-macosx_10_9_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.11	CPython 3.11	macOS 10.9+ x86-64	Details
pypulseqpp-0.0.41-cp310-cp310-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
pypulseqpp-0.0.41-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
pypulseqpp-0.0.41-cp310-cp310-macosx_11_0_arm64.whl 1.2 MB Oct 12, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
pypulseqpp-0.0.41-cp310-cp310-macosx_10_9_x86_64.whl 1.3 MB Oct 12, 2026	CPython 3.10	CPython 3.10	macOS 10.9+ x86-64	Details

Total release size: 27.5 MB

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Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp313-cp313-macosx_10_13_x86_64.whl
SHA-256 checksum: fd3afa811b32b8e339f4d31aa4ed98b689628db5001d3ea6f6c1430249022f32 Verifying attestations

Release files / pypulseqpp-0.0.41-cp312-cp312-win_amd64.whl

Download URL	pypulseqpp-0.0.41-cp312-cp312-win_amd64.whl
Size	1.4 MB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`d810d58f3ef4298aebcde1551324a55e20dde396a9116c7c620a1cad5c015920`
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp312-cp312-win_amd64.whl
SHA-256 checksum: d810d58f3ef4298aebcde1551324a55e20dde396a9116c7c620a1cad5c015920 Verifying attestations

Release files / pypulseqpp-0.0.41-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	pypulseqpp-0.0.41-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	1.3 MB
Tags	CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: a7c86ed03a35c421efa2025bbf221d25fb4f7f10c423e2d49420ed115b94deae Verifying attestations

Release files / pypulseqpp-0.0.41-cp312-cp312-macosx_11_0_arm64.whl

Download URL	pypulseqpp-0.0.41-cp312-cp312-macosx_11_0_arm64.whl
Size	1.2 MB
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp312-cp312-macosx_11_0_arm64.whl
SHA-256 checksum: 2b61b87baf36a45d45542cd64757d574f54dcc37e30c11a20b0de9b22d460311 Verifying attestations

Release files / pypulseqpp-0.0.41-cp312-cp312-macosx_10_13_x86_64.whl

Download URL	pypulseqpp-0.0.41-cp312-cp312-macosx_10_13_x86_64.whl
Size	1.3 MB
Tags	CPython 3.12 macOS 10.13+ x86-64
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp312-cp312-macosx_10_13_x86_64.whl
SHA-256 checksum: 1586fa1259f22526a7c1f07a365fb58b40f1024d89369f42bc84f4798c56c935 Verifying attestations

Release files / pypulseqpp-0.0.41-cp311-cp311-win_amd64.whl

Download URL	pypulseqpp-0.0.41-cp311-cp311-win_amd64.whl
Size	1.4 MB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`4655a346fa9743b27239fc31d1c64e9c6e9325e003347b0279e2e651593d42c1`
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp311-cp311-win_amd64.whl
SHA-256 checksum: 4655a346fa9743b27239fc31d1c64e9c6e9325e003347b0279e2e651593d42c1 Verifying attestations

Release files / pypulseqpp-0.0.41-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	pypulseqpp-0.0.41-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	1.3 MB
Tags	CPython 3.11 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: f577a95ddf574a688a825d2527d26e63c255f7e89a2ae3ddca435df60872d7a5 Verifying attestations

Release files / pypulseqpp-0.0.41-cp311-cp311-macosx_11_0_arm64.whl

Download URL	pypulseqpp-0.0.41-cp311-cp311-macosx_11_0_arm64.whl
Size	1.2 MB
Tags	CPython 3.11 macOS 11.0+ ARM64
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: 57cba489eee4f893f402b17792132b8004258ddcc60c915f32040799c74db6bb Verifying attestations

Release files / pypulseqpp-0.0.41-cp311-cp311-macosx_10_9_x86_64.whl

Download URL	pypulseqpp-0.0.41-cp311-cp311-macosx_10_9_x86_64.whl
Size	1.3 MB
Tags	CPython 3.11 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`acdc759d0652153807496574451c1d4bf18960e8ee8cb84bc93368290abae6ca`
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp311-cp311-macosx_10_9_x86_64.whl
SHA-256 checksum: acdc759d0652153807496574451c1d4bf18960e8ee8cb84bc93368290abae6ca Verifying attestations

Release files / pypulseqpp-0.0.41-cp310-cp310-win_amd64.whl

Download URL	pypulseqpp-0.0.41-cp310-cp310-win_amd64.whl
Size	1.4 MB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`4d0e795133f04a9628318d591c266e6b6fbdd4464b512aec7a6e760468a1bf93`
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp310-cp310-win_amd64.whl
SHA-256 checksum: 4d0e795133f04a9628318d591c266e6b6fbdd4464b512aec7a6e760468a1bf93 Verifying attestations

Release files / pypulseqpp-0.0.41-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	pypulseqpp-0.0.41-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	1.3 MB
Tags	CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 3f900a93754d7fe5db2e2bea23c00dfdc763083e34f4e512943dd8f7c617edf5 Verifying attestations

Release files / pypulseqpp-0.0.41-cp310-cp310-macosx_11_0_arm64.whl

Download URL	pypulseqpp-0.0.41-cp310-cp310-macosx_11_0_arm64.whl
Size	1.2 MB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`b77ba1a750a9ec83ad90ee4cb1490db1acf550968e9e05e6783b67ce993b3e48`
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: b77ba1a750a9ec83ad90ee4cb1490db1acf550968e9e05e6783b67ce993b3e48 Verifying attestations

Release files / pypulseqpp-0.0.41-cp310-cp310-macosx_10_9_x86_64.whl

Download URL	pypulseqpp-0.0.41-cp310-cp310-macosx_10_9_x86_64.whl
Size	1.3 MB
Tags	CPython 3.10 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`2e3ae9d6a27aded78fd90b3265ef6bba25ccc05ec33a6e9337364ed6a9d3db11`
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Upload date	Oct 12, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/pulserver/pypulseqpp
Publishing commit: github.com/pulserver/pypulseqpp/tree/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/e0ed1a35268f041b8f9bc951f98ed6a3ee6bec32/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38283485611/attempts/1

Artifact

Subject: pypulseqpp-0.0.41-cp310-cp310-macosx_10_9_x86_64.whl
SHA-256 checksum: 2e3ae9d6a27aded78fd90b3265ef6bba25ccc05ec33a6e9337364ed6a9d3db11 Verifying attestations