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 0.0.38

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Source distribution (sdist)

Source distribution for pypulseqpp 0.0.38
File	Size	Uploaded
pypulseqpp-0.0.38.tar.gz	1.7 MB	Oct 12, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for pypulseqpp 0.0.38
File	Interpreter	ABI	Platform	Reset
pypulseqpp-0.0.38-cp314-cp314-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.14	CPython 3.14	Windows x86-64	Details
pypulseqpp-0.0.38-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-0.0.38-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-0.0.38-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-0.0.38-cp313-cp313-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
pypulseqpp-0.0.38-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-0.0.38-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-0.0.38-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-0.0.38-cp312-cp312-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
pypulseqpp-0.0.38-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-0.0.38-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-0.0.38-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-0.0.38-cp311-cp311-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
pypulseqpp-0.0.38-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 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
pypulseqpp-0.0.38-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-0.0.38-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-0.0.38-cp310-cp310-win_amd64.whl 1.4 MB Oct 12, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
pypulseqpp-0.0.38-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 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
pypulseqpp-0.0.38-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-0.0.38-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: 27.3 MB

Release files / pypulseqpp-0.0.38.tar.gz

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Publishing commit: github.com/pulserver/pypulseqpp/tree/33fce0266f82971fc4b65f4be08708038a7f8daf

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Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp313-cp313-macosx_10_13_x86_64.whl
SHA-256 checksum: b3e17df035e654614c7a075c40a9386ba21e6c768cfbb4c416d88ee2a8d69f6c Verifying attestations

Release files / pypulseqpp-0.0.38-cp312-cp312-win_amd64.whl

Download URL	pypulseqpp-0.0.38-cp312-cp312-win_amd64.whl
Size	1.4 MB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`4a7d87460cdc2d0ac854132dc023956ddba89c17df91dc6e5ab1b495ddce05dc`
BLAKE2b-256 checksum How to use checksums	`7a7d609d4bcf35d8d472d2c04bb5f1b7ae4194ff3c66d9f3e1874030503e294d`
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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp312-cp312-win_amd64.whl
SHA-256 checksum: 4a7d87460cdc2d0ac854132dc023956ddba89c17df91dc6e5ab1b495ddce05dc Verifying attestations

Release files / pypulseqpp-0.0.38-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	pypulseqpp-0.0.38-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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: ddf081f6e234cf64e6cfc1518eb60ec139c8f16661fc25d2208d3c65b289113b Verifying attestations

Release files / pypulseqpp-0.0.38-cp312-cp312-macosx_11_0_arm64.whl

Download URL	pypulseqpp-0.0.38-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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp312-cp312-macosx_11_0_arm64.whl
SHA-256 checksum: e983de6537fe5d0b95a9a7900de5b90b2663532362ce562e28dfb4dcb7b6fa15 Verifying attestations

Release files / pypulseqpp-0.0.38-cp312-cp312-macosx_10_13_x86_64.whl

Download URL	pypulseqpp-0.0.38-cp312-cp312-macosx_10_13_x86_64.whl
Size	1.3 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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp312-cp312-macosx_10_13_x86_64.whl
SHA-256 checksum: 3d473defb78187c15d888c9ccbb99af700aa6247e881e981b68cc41111daa701 Verifying attestations

Release files / pypulseqpp-0.0.38-cp311-cp311-win_amd64.whl

Download URL	pypulseqpp-0.0.38-cp311-cp311-win_amd64.whl
Size	1.4 MB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`96af1cf2f51b3ed3cdc355a59a2aeacde063b39c1f423516d3d39674a0e88242`
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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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp311-cp311-win_amd64.whl
SHA-256 checksum: 96af1cf2f51b3ed3cdc355a59a2aeacde063b39c1f423516d3d39674a0e88242 Verifying attestations

Release files / pypulseqpp-0.0.38-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	pypulseqpp-0.0.38-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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: d92340ccc04d92ee424edc14d2811e129f08a99ab98ef8257c06f2c0a35d6980 Verifying attestations

Release files / pypulseqpp-0.0.38-cp311-cp311-macosx_11_0_arm64.whl

Download URL	pypulseqpp-0.0.38-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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: 0472ddcfed29cabc62352b3867913eea9c95d75690dfb1ae359aa72e0103c114 Verifying attestations

Release files / pypulseqpp-0.0.38-cp311-cp311-macosx_10_9_x86_64.whl

Download URL	pypulseqpp-0.0.38-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	`64e9e28ef1453a611b2b8923c6b50947b2dfa2e3b2a1e3d299cb0d008040fe2b`
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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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp311-cp311-macosx_10_9_x86_64.whl
SHA-256 checksum: 64e9e28ef1453a611b2b8923c6b50947b2dfa2e3b2a1e3d299cb0d008040fe2b Verifying attestations

Release files / pypulseqpp-0.0.38-cp310-cp310-win_amd64.whl

Download URL	pypulseqpp-0.0.38-cp310-cp310-win_amd64.whl
Size	1.4 MB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`9105fed49a71081e61a9f5ac0740f9d5ec5cfa9822f070f17235102331626cf8`
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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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp310-cp310-win_amd64.whl
SHA-256 checksum: 9105fed49a71081e61a9f5ac0740f9d5ec5cfa9822f070f17235102331626cf8 Verifying attestations

Release files / pypulseqpp-0.0.38-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	pypulseqpp-0.0.38-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
SHA-256 checksum How to use checksums	`dce7958822bcdd7c12b6ea1d133c57bc7718e6b0261062027e212b399cbc9df2`
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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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: dce7958822bcdd7c12b6ea1d133c57bc7718e6b0261062027e212b399cbc9df2 Verifying attestations

Release files / pypulseqpp-0.0.38-cp310-cp310-macosx_11_0_arm64.whl

Download URL	pypulseqpp-0.0.38-cp310-cp310-macosx_11_0_arm64.whl
Size	1.2 MB
Tags	CPython 3.10 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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: 82955476b3c2d815c8fde5e14a3d71cbaa3c031394bdbf9b706b7546b5250e43 Verifying attestations

Release files / pypulseqpp-0.0.38-cp310-cp310-macosx_10_9_x86_64.whl

Download URL	pypulseqpp-0.0.38-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	`fad5010e6cb435d5ac36c25a5f9f322f81007d6476f5ea3ce1b58dfa5312e3d5`
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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/33fce0266f82971fc4b65f4be08708038a7f8daf

Workflow

Publishing configuration: github.com/pulserver/pypulseqpp/blob/33fce0266f82971fc4b65f4be08708038a7f8daf/.github/workflows/tags-release.yml
Publishing logs: github.com/pulserver/pypulseqpp/actions/runs/38236883512/attempts/1

Artifact

Subject: pypulseqpp-0.0.38-cp310-cp310-macosx_10_9_x86_64.whl
SHA-256 checksum: fad5010e6cb435d5ac36c25a5f9f322f81007d6476f5ea3ce1b58dfa5312e3d5 Verifying attestations