Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Eradiate logo

Eradiate Radiometric Kernel — Mitsuba 3

pypi docs

Introduction

This is the radiometric kernel of the Eradiate radiative transfer model, based on Mitsuba 3, the rendering system developed at EPFL in Switzerland. This modified version builds on Mitsuba 3's feature set to provide a modern technical foundation for the implementation of high-performance Monte Carlo ray tracing techniques to solve atmospheric radiative transfer problems.

How does this project relate to Mitsuba 3?

The Eradiate kernel is a fork of Mitsuba 3. It inherits many of its distinctive features, such as retargetability (the ability to apply compile-time transformations to the C++ codebase to change fundamental aspects of the simulation such as spectral representation or polarization), and is powered by the same just-in-time compiler Dr.Jit.

However, the Eradiate kernel is more specialized than upstream Mitsuba 3:

  • Monochromatic computation: Currently, Eradiate hands the management of the spectral dimension to pre- and post-processing components external to the radiometric engine. Consequently, all radiometric computations are monochromatic.

  • Double precision: Earth observation problems involve a wide range of length scales: objects of a size of ~1 cm, such as leaves, coexist with objects of a size of ~10.000 km, such as planets. In such conditions, performing ray tracing safely is challenging. For safety, Eradiate currently relies only on double-precision variants, which has two consequences: (1) the high-performance BVH supplied by Embree cannot be used (it supports only single-precision), and we must fall back to the built-in kd-tree; (2) using JIT-compiled variants targeting the GPU is not yet possible. Addressing these limitations is planned.

  • Scalar variants only: For now, only scalar variants are used. Supporting JIT compilation is planned.

About

The Eradiate kernel is maintained by Rayference.

Mitsuba was created by Wenzel Jakob, and the Eradiate team thanks all Mitsuba contributors, in particular EPFL's Realistic Graphics Lab, for their work and support.

Metadata

Release files for eradiate-mitsuba 0.6.0rc1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for eradiate-mitsuba 0.6.0rc1
File
eradiate_mitsuba-0.6.0rc1-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp314-cp314-manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.17+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp312-abi3-win_amd64.whl CPython 3.12 abi3 Windows x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp312-abi3-manylinux_2_28_x86_64.whl CPython 3.12 abi3 Linux glibc 2.28+ x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp312-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl CPython 3.12 abi3 Linux glibc 2.17+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp312-abi3-macosx_11_0_arm64.whl CPython 3.12 abi3 macOS 11.0+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64 Details
eradiate_mitsuba-0.6.0rc1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
eradiate_mitsuba-0.6.0rc1-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details

Total release size: 814.9 MB

Release files / eradiate_mitsuba-0.6.0rc1-cp314-cp314-win_amd64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp314-cp314-win_amd64.whl
Size 31.7 MB
Tags CPython 3.14 Windows x86-64
SHA-256 checksum
How to use checksums
18bd775eb6d5452b0831e85281df698dd68df312ba751525375da226ceff5653
BLAKE2b-256 checksum
How to use checksums
e2dd66f180ef0387a0510308a5277388f4421d0d7c894fe18f6e516150822ee8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp314-cp314-manylinux_2_28_x86_64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp314-cp314-manylinux_2_28_x86_64.whl
Size 36.0 MB
Tags CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
42ff8e067eb56993dfeec0cc277b956152cc797b5ae25493e8c7b68d3505fdab
BLAKE2b-256 checksum
How to use checksums
030e1fcb4e5cb5c8212347585ccf9fdba518a93184d2611e72213f571fc287b0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 36.4 MB
Tags CPython 3.14 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
db46c2c05c03896efec4838177c002b0d3bd49571818ae32b572ad19ac041221
BLAKE2b-256 checksum
How to use checksums
212ac2199959a7742aad2966012806fd0976c8f1c746e46092267bfab9b5a4c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp314-cp314-macosx_11_0_arm64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp314-cp314-macosx_11_0_arm64.whl
Size 32.3 MB
Tags CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b44c40721f1b8ab592e72d3e8f323b38f15e2490c043b46ccf3269a7a77f5b71
BLAKE2b-256 checksum
How to use checksums
b2affe0d1e8fa9283a4ed9a67ab854960b7c38098ccdd5375aee36d07eca4ba1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp313-cp313-win_amd64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp313-cp313-win_amd64.whl
Size 31.0 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
71923c3b32ed4083f43f9cc579d2ad3b0e49cd0654ce05ea70dd97c2f74f06ba
BLAKE2b-256 checksum
How to use checksums
09b0adf354e47f969e94c9391b7df2c27d910e131de6e330d3028abd5d1223c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl
Size 36.0 MB
Tags CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
545e626102d9517441105161b6fa9ca74e7baf97d88edf99ad683f6d6b23f0bb
BLAKE2b-256 checksum
How to use checksums
768771e84a5b8aa92e1a06bde562a80f995ab717f4a32b2b59a26da7c0a8e9c7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 36.4 MB
Tags CPython 3.13 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
3274fd4fe6ef423a1b6e28d213cb2b5ad01b8234ec292bd71bf3c5a441d02fd6
BLAKE2b-256 checksum
How to use checksums
93421fff13234b96573463fd05cecbcb231b973b1430be496b627586538d49d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp313-cp313-macosx_11_0_arm64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp313-cp313-macosx_11_0_arm64.whl
Size 32.3 MB
Tags CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c1b3e83ba0e053acef450b6b50e8ee290ef7185af9bf3738ae0db75a43efea05
BLAKE2b-256 checksum
How to use checksums
ff54e298e3c83176f3574d61527572a5f2004c12e205d78c8b9c60657c309318
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-cp312-win_amd64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-cp312-win_amd64.whl
Size 31.0 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
f4d303475c0e1c2b224d1ae65596c6a100978dfc5030093735a85eef4e1a0d60
BLAKE2b-256 checksum
How to use checksums
a97a0860cf66d1983df57204e03e629619b653147b123a1c5a63880f59a608bf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl
Size 36.0 MB
Tags CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
850d01554c089e785882d9361ec680c607c4067111c2f3d8a9970fa112505235
BLAKE2b-256 checksum
How to use checksums
d67453a2ed46a26bc38bb6f3db7e64db3b11f52ce581adcda987694009914163
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 36.4 MB
Tags CPython 3.12 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
9c502296d87db87824e32ff9d7be08d9a1b34bd4bcbfdd28d6af29359e4017d2
BLAKE2b-256 checksum
How to use checksums
a264278f20c25acfde0bd37206f3fa31faadb9e8ed75c09042b77f8b2b8b1b7c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-cp312-macosx_11_0_arm64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-cp312-macosx_11_0_arm64.whl
Size 32.3 MB
Tags CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
2468d3c933222150189300e669e4146c8c85193f4acf0862dc0a1abcb3dfecd1
BLAKE2b-256 checksum
How to use checksums
670db8d984d37a22dee323e6ebdaa1633f7e077e1e3c1eae4ea35a11cfed5a3c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-abi3-win_amd64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-abi3-win_amd64.whl
Size 31.0 MB
Tags CPython 3.12 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
97c936ad1c1cc3e6ec52ad2bf7cf78acf3b16b457cf6a36d8d128aa18497540d
BLAKE2b-256 checksum
How to use checksums
b4984be2b47096c40e89aa46f34216c6bd2f73584e1c7caa056b54a82dcee421
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-abi3-manylinux_2_28_x86_64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-abi3-manylinux_2_28_x86_64.whl
Size 36.0 MB
Tags CPython 3.12 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
42db7a8d42ce8d924ca5c9e57f31ea3049a16c3815d82a5750433c862e9312d2
BLAKE2b-256 checksum
How to use checksums
7c30377f43faf3cd524eef1ce4b77c8ca57c20e796e9bd898677dafa3989a7e1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 36.4 MB
Tags CPython 3.12 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
8c2e8b4799f2295b300eaa7f3d90de0a46dc8544e53b4faa0cfe0cf3ee24d684
BLAKE2b-256 checksum
How to use checksums
df5cb8a89f4cb42db3dedbbfc4ccb91a5458f01a7e13b1483899244663b01d98
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp312-abi3-macosx_11_0_arm64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp312-abi3-macosx_11_0_arm64.whl
Size 32.3 MB
Tags CPython 3.12 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
ef6dea8b0b603592d5e9f4dd1e08a5de699a3975891ff89c09c90322eb7e7aa5
BLAKE2b-256 checksum
How to use checksums
09c0dac394b4b0c1d786ac455a190ad0e0742ddefe5150c0dee4c0e0ae5756aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp311-cp311-win_amd64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp311-cp311-win_amd64.whl
Size 30.9 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
6896ee3250a46a957c36d8dc8a3eede2b5f85fed18ff8ba8e8ef5e218099173c
BLAKE2b-256 checksum
How to use checksums
2d48249d40b745793fe26b935bd62101cf2b7ad7221fdbabee8e6c8853d687bc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl
Size 36.0 MB
Tags CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
69549092bc1b2d1432479c13998ea3dd44dfc2804759b57e04c761e0a42e873d
BLAKE2b-256 checksum
How to use checksums
f4aefe240436a72e48ed7255c6030aa0cad306ff931237b7c1ccf9f792e13784
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 36.5 MB
Tags CPython 3.11 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
10a1122d010292ac1e671bc8df4614878b1e3531881145a374438b5c05c98d77
BLAKE2b-256 checksum
How to use checksums
8d986f78acb0613302e8012953de31e247ce2d893192127d2dece6164cd91777
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp311-cp311-macosx_11_0_arm64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp311-cp311-macosx_11_0_arm64.whl
Size 32.3 MB
Tags CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
2398b9c970756beaca8125f6b8f57228ad400a8cea27d66237bdc39012ae37f9
BLAKE2b-256 checksum
How to use checksums
6d604c5173933966e17da9c315cad015d8337294b38a25d3e0bc1d0262402e22
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp310-cp310-win_amd64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp310-cp310-win_amd64.whl
Size 30.9 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
5714ca6e70a1382ff85a7b58a47c90aa2a726d284b7664c021b41ffe3d6d8a3c
BLAKE2b-256 checksum
How to use checksums
0b17a3a85220d9c251e4563921655ea9773f23c72945a3508e90efcdc3b1956e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl
Size 36.0 MB
Tags CPython 3.10 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
f3d7e10ccb548a2837f58ed5ee48d5799e4989633595a098b24fe64799fc2812
BLAKE2b-256 checksum
How to use checksums
4c3812b0d70a2bb49db0e2a743d11ad2a3fa158dca123f7d505b887112db153b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Size 36.5 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
dd22ba89113e52893460742ee7eb50a9f0e32dc99d60e1e182f75957d1a12f80
BLAKE2b-256 checksum
How to use checksums
9923de4f596d6621cc24e518784d43668cb14e26af2dba916a60a8b236784ec2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / eradiate_mitsuba-0.6.0rc1-cp310-cp310-macosx_11_0_arm64.whl

Download URL eradiate_mitsuba-0.6.0rc1-cp310-cp310-macosx_11_0_arm64.whl
Size 32.3 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
006ca3a6b7c4578ef7638ed2ca4ed40c0b9464d6ff83ad30a694fdc5a92e4806
BLAKE2b-256 checksum
How to use checksums
3593a56b1c73b5de4c818661f058a78c8742f5cb276733850101733d49b68ff4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.14
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page