Skip to main content
Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.5.12 instead.
Reason given by maintainers: Windows CUDA start-up crash; use 0.5.8

The author of this package has not provided a project description

Metadata

Release files for royalelearn 0.5.5

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

Source distribution (sdist)

Source distribution for royalelearn 0.5.5
File Size Uploaded
royalelearn-0.5.5.tar.gz 698.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for royalelearn 0.5.5
File Interpreter ABI Platform
royalelearn-0.5.5-py3-none-any.whl Python 3 none any Details

Total release size: 1.1 MB

Release files / royalelearn-0.5.5.tar.gz

Download URL royalelearn-0.5.5.tar.gz
Size 698.1 kB
Tags Source
SHA-256 checksum
How to use checksums
3a7ec7c716b819326fc52baf6c60d8278d020e4339bae589e095b877e09e86c6
BLAKE2b-256 checksum
How to use checksums
a596a37bf32002b320c26cbad65205929aeb9ccc778fcb0d1890a7afa33d776b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.

Transparency log

Release files / royalelearn-0.5.5-py3-none-any.whl

Download URL royalelearn-0.5.5-py3-none-any.whl
Size 439.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cccb09ec959bc867d5abc0daf93912e35af922a22761654cc149ec5ea8e423a4
BLAKE2b-256 checksum
How to use checksums
597ca3eb70986dc886bc84d857075aa5b4807b02c819f3992408751d77db1f6a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.

Transparency log

Release history Release notifications | RSS feed

0.5.9

2 release files

0.5.8

2 release files

0.5.7

2 release files

0.5.6

2 release files

This release

0.5.5 This release

2 release files

0.5.4

2 release files

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