matrx-assignment
Typed, payload-agnostic assignment planning and durable coordination.
The library turns a strict plan into immutable work items, then drives those
items through an injected store and executor. Hosts can begin with coordinated
rows (for example, 50 paired topic + research inputs) and later add policies
without changing the agent or workflow execution systems.
Supported plans:
coordinated_rows: preserve paired values and run every row once.independent_random: choose every variable independently with unbiased system randomness, optionally without repeating a full combination.cartesian: enumerate combinations, optionally in unbiased random order.
Random plans are materialized once and persisted by the host. Recovery therefore resumes the same items instead of producing a new draw.
1 maintainer
Metadata
1 maintainer
Release files for matrx-assignment 0.1.36
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matrx_assignment-0.1.36.tar.gz | 17.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matrx_assignment-0.1.36-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.0 kB
Release files / matrx_assignment-0.1.36.tar.gz
| Download URL | matrx_assignment-0.1.36.tar.gz |
|---|---|
| Size | 17.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
113af93df759fc54208500b82ef164a65be57d828b9c499fd5e5e71f7a370eb0
|
|
BLAKE2b-256 checksum How to use checksums |
69687da7a41f01609368465c6b5718ab2a24fe305f051b13768d8b4d9955c0d1
|
| 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 3, 2026.
Transparency logRelease files / matrx_assignment-0.1.36-py3-none-any.whl
| Download URL | matrx_assignment-0.1.36-py3-none-any.whl |
|---|---|
| Size | 13.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
57d7270157339a6386bc7250c1820c379c566d02dd94f43fad0b2fad0230227b
|
|
BLAKE2b-256 checksum How to use checksums |
8fddbbdda759a79d642682c0b21c22421ff1bc6f4b47622d01eb450eb396bfa1
|
| 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 3, 2026.
Transparency log
