Approximated nearest neighbor search indexer for sparse vector
Metadata
Release files for fastcosine 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastcosine-0.1.0.tar.gz | 3.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastcosine-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.0 kB
Release files / fastcosine-0.1.0.tar.gz
| Download URL | fastcosine-0.1.0.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9c3bcf0b357bfc27b96982233e01050174b46a1eb6900e3e27ac987e8dfe0800
|
|
BLAKE2b-256 checksum How to use checksums |
deef8fbac972861e6fd36cb43618a156c8e9324f6ae6878a0266bf10e3db7d11
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / fastcosine-0.1.0-py3-none-any.whl
| Download URL | fastcosine-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
68b8c0870ee0ad623c12d1bc176fe8c7264b0ed60c9b9c0f071920d5839d78dd
|
|
BLAKE2b-256 checksum How to use checksums |
5dda41dbe1f5646095b16081d0163dfc9e9ecc9e1b152c2afbd4454c5858072b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |