jaro (Python)
Pure-Python codec for JARO, a JSON-model data format with a text form and a binary form. The format is specified in ../SPEC.md. Python 3.10 or later, no runtime dependencies, fully typed.
Install
pip install . # from this directory
pip install -e '.[dev]' # tests, mypy and the YAML benchmark
API
import jaro
jaro.dumps({"a": [1, 2.5, None]}) # 'a:[1 2.5 ~]'
jaro.loads("a:[1 2.5 ~]") # {'a': [1, 2.5, None]}
jaro.dumps_binary(value, dedup=False) # bytes
jaro.loads_binary(data) # value
dumps(value, *, dedup=False) -> strandloads(text: str | bytes) -> Any.dumps_binary(value, *, dedup=False) -> bytesandloads_binary(data: bytes) -> Any.dedup=Truereplaces repeated sub-trees (24 bytes or more of text) with anchors and references.JaroErrorsubclassesValueError. Itsoffsetattribute is the byte offset in the input, orNonefor encoder errors.
Mapping: None, bool, int (int64), float (finite), str, list and dict with str keys. Encoders sort keys. Decoders reject duplicate keys. Integral floats below 2^53 decode as int, and zero is always 0. Tuples, sets and bytes are rejected.
Supported: text and binary forms, anchors, spreads, comments, tables (plain, sparse with ^, keyed {|k| ...}, nested columns key{sub}). Not supported: schema validation, the Parse/Doc arena, HTTP middleware and zstd.
Conformance
tests/test_conformance.py runs ../conformance/vectors.json: every text, binary, badText, badTextHex and badBinaryHex case, a round trip of every trees entry, and byte-exact parity with the Go reference for every vector that has a tree (text, binary and binary with dedup). The parity allowlists in that file are empty.
pytest -q
mypy --strict src
Limits
- Nesting depth 512, reference expansion 2^24 nodes, binary counts checked against the remaining input and a node budget of 4M plus 32 per input byte. Codecs use about one Python frame per nesting level, so depth 512 works under the default recursion limit. A
RecursionErrorfrom a very deep caller stack is reported asJaroError. - Invalid UTF-8 is rejected on decode. A lone surrogate in a
stris rejected on encode. - Binary floats that are NaN or infinite are rejected on decode.
Benchmark
python bench/bench.py # corpus: $JARO_CORPUS, default ../../corpus
It prints encode and decode milliseconds and output bytes against json and PyYAML (libyaml loader when available), and writes bench/results.json.
Optional native decoder
loads_binary uses the jaro_native Rust extension when it is installed (pip install jaro-native, built from native-py/). Without it, the pure Python decoder runs. Set JARO_PURE=1 to force the pure decoder. jaro.binary.NATIVE reports which one is active. jaro.binary.loads_binary_py always runs the pure decoder.
Metadata
Release files for jaro 0.1.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jaro-0.1.15.tar.gz | 39.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jaro-0.1.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 62.7 kB
Release files / jaro-0.1.15.tar.gz
| Download URL | jaro-0.1.15.tar.gz |
|---|---|
| Size | 39.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a15a5e16eccea3b58de171f825383d298b72ec3b8d5df232dfc664e9ec19546b
|
|
BLAKE2b-256 checksum How to use checksums |
7bfc989ae8c27ba28805dd23d2221e99d9a98050cde75b5d4d27f72d94753dda
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 11, 2026.
Transparency logRelease files / jaro-0.1.15-py3-none-any.whl
| Download URL | jaro-0.1.15-py3-none-any.whl |
|---|---|
| Size | 23.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
440078d503e7a2058e43b17104918237ead17a9231f8461c560cb2f478f300b2
|
|
BLAKE2b-256 checksum How to use checksums |
55abd5966a6797a28b92a24870d9037cf0dd8a90355f3aef6094cc4a5d97f654
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 11, 2026.
Transparency log