colassigner
fitting somewhat complex, nested data structures into tables, and removing the need to remember the name and construction logic of any column, if you can rely on static analysis
things to think about:
- draw a reliance dag based on calls
- pivot table: data content based columns
- enum type support
- changing record entity type
- partial inheritance / composite types
1 maintainer
Metadata
1 maintainer
Release files for colassigner 0.4.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| colassigner-0.4.2.tar.gz | 20.4 kB | Without provenance | Details for colassigner-0.4.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| colassigner-0.4.2-py3-none-any.whl | Python 3 | none | any | Details for colassigner-0.4.2-py3-none-any.whl |
Total release size: 33.5 kB
Release files / colassigner-0.4.2.tar.gz
| Download URL | colassigner-0.4.2.tar.gz |
|---|---|
| Size | 20.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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python-requests/2.31.0
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Release files / colassigner-0.4.2-py3-none-any.whl
| Download URL | colassigner-0.4.2-py3-none-any.whl |
|---|---|
| Size | 13.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
43968562faeb7801aebf70abfeb14be597391d2073a065512455bd56ccc8cff8
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.31.0
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Security for colassigner 0.4.2
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