README: Algorithm to mine for functional dependencies, equivalences and candidate keys
Description:
FDTool is a Python command-line application that mines functional dependencies, equivalences and candidate keys from datasets read in from .csv, .txt, and .pkl files.
Dependencies:
Run Application:
$ fdtool /path/to/file
Notes:
Module REPO/fdtool/modules/dbschema released under C-FSL license
and copyright held by Elmar Stellnberger.
Metadata
Release files for fdtool 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fdtool-0.1.7.tar.gz | 1.0 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fdtool-0.1.7-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 2.0 MB
Release files / fdtool-0.1.7.tar.gz
| Download URL | fdtool-0.1.7.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / fdtool-0.1.7-py2-none-any.whl
| Download URL | fdtool-0.1.7-py2-none-any.whl |
|---|---|
| Size | 1.0 MB |
| Tags | Python 2 |
|
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 |
Security for fdtool 0.1.7
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