sartorial
Tailoring custom types to fit Pydantic models, including JSON schema generation and on-the-fly model generation with custom types using JSON Schema's "format" key, allowing lossless serialization/deserialiation of arbitrary models. Contains simple JSON encoding/decoding for most types and the ability to specify them for new types with an interface mixin.
1 maintainer
Metadata
1 maintainer
Release files for sartorial 0.9.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sartorial-0.9.0.tar.gz | 8.9 kB | With provenance | Details for sartorial-0.9.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sartorial-0.9.0-py3-none-any.whl | Python 3 | none | any | Details for sartorial-0.9.0-py3-none-any.whl |
Total release size: 17.6 kB
Release files / sartorial-0.9.0.tar.gz
| Download URL | sartorial-0.9.0.tar.gz |
|---|---|
| Size | 8.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / sartorial-0.9.0-py3-none-any.whl
| Download URL | sartorial-0.9.0-py3-none-any.whl |
|---|---|
| Size | 8.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
3f029907da4555dd8efc6ddc787f34be048ff6ca5b4f62c8369c6ccebe8bf088
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BLAKE2b-256 checksum How to use checksums |
75729cc1ff25d6cf6ad32a81c1d6bb8bcb6baa586c33c0d95c97c418c54c604e
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Provenance
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Transparency logSecurity for sartorial 0.9.0
Provenance
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Attestation for sartorial-0.9.0.tar.gz
PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Mar 19, 2025.
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