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[release] update winget mcxstudio package
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fangq committed Mar 26, 2024
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6 changes: 3 additions & 3 deletions winget/coti.mcxstudio.installer.yaml
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.installer.1.1.0.schema.json

PackageIdentifier: coti.mcxstudio
PackageVersion: v2023
PackageVersion: v2024.2
MinimumOSVersion: 10.0.0.0
InstallerType: inno
Scope: machine
Installers:
- Architecture: x64
InstallerUrl: https://mcx.space/nightly/release/v2023/MCXStudio-v2023-installer.exe
InstallerSha256: afc561cfc332b5fe0339e5058e127656e763a7c17b7f8d53e7fed43176326a7d
InstallerUrl: https://mcx.space/nightly/release/v2024.2/MCXStudio-v2024.2-installer.exe
InstallerSha256: ce5fa53bb753e8719fd4de3af0da9245c96c3c63a712b405ccde1540d5948551
ManifestType: installer
ManifestVersion: 1.1.0
24 changes: 9 additions & 15 deletions winget/coti.mcxstudio.locale.en-US.yaml
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.defaultLocale.1.1.0.schema.json

PackageIdentifier: coti.mcxstudio
PackageVersion: v2023
PackageVersion: v2024.2
PackageLocale: en-US
Publisher: COTILab
PublisherUrl: https://mcx.space
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PackageName: MCX Studio
PackageUrl: https://sourceforge.net/projects/mcx/
License: GNU General Public License v3.0 (GPL-3.0)
LicenseUrl: https://github.com/fangq/mcx/blob/v2023/LICENSE.txt
LicenseUrl: https://github.com/fangq/mcx/blob/v2024.2/LICENSE.txt
Copyright: Copyright (c) 2010-2023 Qianqian Fang <q.fang at neu.edu>
CopyrightUrl: https://github.com/fangq/mcx/blob/v2023/LICENSE.txt
CopyrightUrl: https://github.com/fangq/mcx/blob/v2024.2/LICENSE.txt
ShortDescription: Monte Carlo eXtreme (MCX) - Physically accurate and validated GPU ray-tracer
Description: Monte Carlo eXtreme, or MCX, is a Monte Carlo photon simulator for modeling light transport in 3D turbid media. It uses NVIDIA graphics processing units (GPUs) to simulate thousands of photons simultaneously, making it one of the fastest and most accurate photon modeling tools.
Moniker: mcxstudio
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# Agreements:
ReleaseNotes: |-
New Features
- Introduced Split voxel MC (SVMC) to accurately model curved boundaries
- GPU polarized light modeling (Stokes) with 900x speedup
- RF replay to build frequency-domain Jacobians for amplitude and phase
- Web-based MCX Cloud platform including web-client and server scripts
- pymcx - an mcxlab-like Python module for running MCX simulations in Python
- Added Debian/Ubuntu packages for easy installation
- Added a unified command line interface, photon, to call mcx/mcxcl/mmc
- Fine-tuned Windows installer
- Extensively developed Github Action for automated building and packaging of mcx
- Adopted standardized NeuroJSON JNIfTI and JData formats to ease data exchange
- New source types include hyperboloid and ring (annulus,annulus sector)
ReleaseNotesUrl: http://mcx.space/wiki/index.cgi?Doc/ReleaseNotes/v2023
- [Feature] User-defined photon launch angle distribution (fangq/mcx\#13)
- [Feature] Simulate multiple sources in a single session (fangq/mcx\#163)
- [Feature] Per-voxel mua/mus/g/n format support (fangq/mcx\#203)
- [Critical bug fix] Fix double-multiplication of pattern launched weight, (fangq/mcx\#212)
- [Bug fix] Apply (fangq/mcx\#41) like 2x-float-buffer for dref accumulation, fix (fangq/mcx\#195)
ReleaseNotesUrl: http://mcx.space/wiki/index.cgi?Doc/ReleaseNotes/v2024.2
ManifestType: defaultLocale
ManifestVersion: 1.1.0
2 changes: 1 addition & 1 deletion winget/coti.mcxstudio.yaml
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# yaml-language-server: $schema=https://aka.ms/winget-manifest.version.1.1.0.schema.json

PackageIdentifier: coti.mcxstudio
PackageVersion: v2023
PackageVersion: v2024.2
DefaultLocale: en-US
ManifestType: version
ManifestVersion: 1.1.0

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