Home-page: https://github.com/RishabhBhatnagar/fst Author: Rishabh Bhatnagar Author-email: bhatnagarrishabh4@gmail.com License: UNKNOWN Description: FST in Python3 - NLP
Platform: UNKNOWN Classifier: Programming Language :: Python :: 3 Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Requires-Python: >=3.5 Description-Content-Type: text/markdown
1 maintainer
Metadata
1 maintainer
Release files for fst 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fst-0.0.2.tar.gz | 2.7 kB | Without provenance | Details for fst-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fst-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for fst-0.0.2-py3-none-any.whl |
Total release size: 5.9 kB
Release files / fst-0.0.2.tar.gz
| Download URL | fst-0.0.2.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.6.9
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Release files / fst-0.0.2-py3-none-any.whl
| Download URL | fst-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.6.9
|
Security for fst 0.0.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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