tet-py
Python bindings for Tetration — mmap-friendly .tet tensors and the JSON/TOML query engine.
| Install | pip install tet-py → import tet |
| Docs | docs.tetration.sh/python |
| Rust core | tetration (linked at build time) |
| CLI | tet binary from the main repo |
Quick start
pip install tet-py
python -c "import tet; print(tet.__version__, tet.core_version())"
import tet
with tet.open("data.tet") as f:
print(f.mean("temperature"), f.quantile("temperature", 0.5))
arr = f.read_numpy("temperature") # ram (memmap for full-width raw slabs)
z = f.transform.to_numpy.zscore("temperature") # transform → ndarray
More examples: Python quick start · operations · NumPy
Convert
tet.convert writes one .tet from a foreign file. .npy, multi-member .npz, and .csv / .tsv are in the core wheel. Other formats are optional extras: tet-py[h5], [netcdf], [zarr], [parquet], or [convert] for all of them.
src may be s3://bucket/object.ext (full download, then the same importer) or an s3:// Zarr v2/v3 prefix (each chunk is fetched as the zarr library reads it). Credentials stay in TETRATION_S3_*.
| Extra | What it imports |
|---|---|
| (core) | .npy (one dataset), .npz (every member), .csv / .tsv (numeric + category text columns) |
h5 |
HDF5 datasets, groups as parent/child names |
netcdf |
NetCDF variables, including groups |
zarr |
Zarr v2 and v3 directory stores |
parquet |
Parquet numeric columns and UTF-8 category columns |
Compared with Rust tet convert: Python does not apply CF scale/offset, chunks the whole array unless you pass chunk_shape, and can read codecs the Rust importer skips when the extra library can decode them. Columns that are not layout-v1 numeric (or category text) are omitted.
Export
tet.export (and TetFile.export) writes a .tet to HDF5, NetCDF, or Zarr. Same optional extras as convert ([h5], [netcdf], [zarr], or [export] for those three). Dense numeric datasets only; carries dim_names and basic string attrs when present. Values are densified via read_numpy — prefer Rust tet export when you need native HDF5/NetCDF or chunk-preserving Zarr.
Packages
tet.open("pkg.tet.d") reads the generation named by CURRENT (packed.tet). tet.ingest copies a sealed .tet into staging, and tet.publish seals those parts and updates CURRENT. tet.pack(package, "out.tet") copies that sealed image to a standalone file; pass remove_package=True to delete the .tet.d after a verified copy.
For an S3-compatible backend:
from tet import S3Store
store = S3Store.connect(endpoint="http://127.0.0.1:9000", bucket="…",
access_key_id="…", secret_access_key="…", prefix="demo")
store.ingest("part.tet", session_id="s0")
store.publish(["part"])
f = store.open("current") # pin; later publish does not retarget f
# or, with TETRATION_S3_* set: tet.open("s3://bucket/demo")
Endpoint and credentials are arguments or TETRATION_S3_* (not in the URI). tet.open("s3://bucket/prefix") range-reads the pinned package. S3Store.open still downloads packed.tet. See docs/operations.md.
Documentation
| Topic | Where |
|---|---|
| Install, API, NumPy sinks | docs.tetration.sh/python |
| Query ops (local mirror) | docs/operations.md |
| Release notes | CHANGELOG.md |
| Format + query wire | docs.tetration.sh · tetration repo |
| Roadmap | docs.tetration.sh/roadmap |
Develop
uv sync --extra dev
mise run develop # or: uv run maturin develop
uv run pytest -q
uv run mypy python/tet
Requires Python 3.11+ and Rust 1.95+ (.mise.toml). Fixtures: tests/fixtures/.
License
MIT OR Apache-2.0, same as tetration.
1 maintainer
Metadata
1 maintainer
Release files for tet-py 0.5.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| tet_py-0.5.4.tar.gz | 75.8 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| tet_py-0.5.4-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details |
| tet_py-0.5.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| tet_py-0.5.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.11 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| tet_py-0.5.4-cp311-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl | CPython 3.11 | abi3 | macOS 11.0+ ARM64, macOS 10.12+ x86-64, macOS 10.12+ universal2 (ARM64, x86-64) | Details |
Total release size: 27.0 MB
Release files / tet_py-0.5.4.tar.gz
| Download URL | tet_py-0.5.4.tar.gz |
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| Size | 75.8 kB |
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| Download URL | tet_py-0.5.4-cp311-abi3-win_amd64.whl |
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| Tags | CPython 3.11 Windows x86-64 abi3 |
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| Download URL | tet_py-0.5.4-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 5.9 MB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 abi3 |
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| Download URL | tet_py-0.5.4-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 5.8 MB |
| Tags | CPython 3.11 Linux glibc 2.17+ ARM64 abi3 |
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| Size | 10.3 MB |
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