igym

This is the official repository for the inno-gym package.

A great gym for benchmark agent innovation.

PLACEHOLDER.

Installation

pip install inno-gym

import igym

igym.hello()

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

Source distribution for py-igym 0.0.1
File	Size	Uploaded
py_igym-0.0.1.tar.gz	5.6 kB	Jul 10, 2025	Details

Table of built distributions (wheels) for py-igym 0.0.1
File	Interpreter	ABI	Platform	Reset
py_igym-0.0.1-py3-none-any.whl 5.9 kB Jul 10, 2025	Python 3	none	any	Details

Total release size: 11.5 kB

Download URL	py_igym-0.0.1.tar.gz
Size	5.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`b847739cdac30e6fc715bdeaa8f6417d0e3408adbfcfc3791ccfe14dd582a1fc`
BLAKE2b-256 checksum How to use checksums	`f0322d9cde3b7a47186dad3ab6ba12887c100e702193842f2f61c94aa25f5a83`
Upload date	Jul 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.2`

Download URL	py_igym-0.0.1-py3-none-any.whl
Size	5.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e4be5cd5862f496b5c76f85d39984a448b3c37d381fe983651ac2e79677e09c9`
BLAKE2b-256 checksum How to use checksums	`8acc0c40abd020d99dd596a859bec479deaadab148b4f330e68905be0a6b16f6`
Upload date	Jul 10, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.2`

This release

0.0.1 This release