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 inno-gym 0.0.1
File	Size	Uploaded
inno_gym-0.0.1.tar.gz	5.6 kB	Jul 10, 2025	Details

Table of built distributions (wheels) for inno-gym 0.0.1
File	Interpreter	ABI	Platform	Reset
inno_gym-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	inno_gym-0.0.1.tar.gz
Size	5.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`6d22e98bbfea2121cf06f077ec4e40d9cc81237230393fcef499c6a29f76c9fb`
BLAKE2b-256 checksum How to use checksums	`efb266fdc7523fa37f8ffbd984ebcff41d6a138de626ecc2a67c445f8fec0e7a`
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	inno_gym-0.0.1-py3-none-any.whl
Size	5.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b2b19712b532cc262b009ffb6b5f91ec493b1fa94b21e119fee0ab6a603b0b67`
BLAKE2b-256 checksum How to use checksums	`943c35cb822a3e50d994585fab0d902c4c6e0cff13448c8827fe3d0588fe35a5`
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