slow-learner — python type inference tool
See also: post
A library and CLI to consume a stream of values (for CLI — JSON documents) and generate Python types describing it. Features:
- recursion into mappings and collections with generic types generation
- "structured dicts" are turned into
TypedDicts by default - values with a small set of observed values are turned into
Literals
Installation
pip install slow-learner
Usage
As CLI:
slow-learner learn 1.json 2.json 3.json
# to learn the type of list item
slow-learner learn --spread list.json
In Python:
from slow_learner import TypeLearner
tl = TypeLearner(
max_literal_type_size=5,
learn_typed_dicts=True,
max_typed_dict_size=50,
max_recursive_type_depth=5,
no_literal_patterns=[r"\.password", r".*secret"],
)
for value in my_values:
tl.observe(value)
tl.save_type_definition("result.py", "MyType")
1 maintainer
Metadata
1 maintainer
Release files for slow-learner 0.1.3
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 | |
|---|---|---|---|---|
| slow_learner-0.1.3.tar.gz | 26.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| slow_learner-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.1 kB
Release files / slow_learner-0.1.3.tar.gz
| Download URL | slow_learner-0.1.3.tar.gz |
|---|---|
| Size | 26.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
263b402b878a150c973a0861a85e59bd9eda33be5e519c12cf2512b61817a430
|
|
BLAKE2b-256 checksum How to use checksums |
74e015721cca2cdfa1aa5af3de5c75f6f1865dc33b243761cb077cbc1a072964
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.8
|
Release files / slow_learner-0.1.3-py3-none-any.whl
| Download URL | slow_learner-0.1.3-py3-none-any.whl |
|---|---|
| Size | 24.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a2ea0b07a5712aefe14dd4d411fd82dc2a12ee9489195e0cb028a17df052e31a
|
|
BLAKE2b-256 checksum How to use checksums |
6f51b48dfb0eb6dd7fef3a1fcbd1319cd16321201929184362117bddd9ddd701
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.2 CPython/3.11.8
|
Security for slow-learner 0.1.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
