Some environments for reinforcement learning.
Release files for jqsB2 10.5.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jqsB2-10.5.7.tar.gz | 7.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jqsB2-10.5.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.9 kB
Release files / jqsB2-10.5.7.tar.gz
| Download URL | jqsB2-10.5.7.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ead6c62d38cd65b7969c6a70af966992593d01e1591cfbfed279a354406d0de3
|
|
BLAKE2b-256 checksum How to use checksums |
489776fc5faaf6a9f4e8c76dec3b21dd2f8fb13711887a4cfa748dbf7c07beb6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / jqsB2-10.5.7-py3-none-any.whl
| Download URL | jqsB2-10.5.7-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
527ad6c1071a6118f6269820055eb895bb1409d2fe38bd13cf3f7de6eaeb8f12
|
|
BLAKE2b-256 checksum How to use checksums |
57532382b07f9e2a4618624f75097504c9743a37cd29c6849ce9a2234631aef6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|