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.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.1.19)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for armanisadeghi from gravatar.com armanisadeghi

Requires

Python >=3.13

Provides Extra

dev

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

matrx_assignment-0.1.13.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

matrx_assignment-0.1.13-py3-none-any.whl (13.1 kB view details)

Uploaded Python 3

File details

Details for the file matrx_assignment-0.1.13.tar.gz.

File metadata

  • Download URL: matrx_assignment-0.1.13.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for matrx_assignment-0.1.13.tar.gz
Algorithm Hash digest
SHA256 f7f08e81b10e7f63657c32f41d79f43e5932872c43614fc20e240188e9154b57
MD5 6775f2dd40d5c57ed5b6f86d0e44a841
BLAKE2b-256 c456835a74b6bfcbff6e020ef94a3b46f8f6c41a4e292f635865bb7f2adf4817

See more details on using hashes here.

Provenance

The following attestation bundles were made for matrx_assignment-0.1.13.tar.gz:

Publisher: publish-package.yml on AI-Matrix-Engine/aidream

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file matrx_assignment-0.1.13-py3-none-any.whl.

File metadata

File hashes

Hashes for matrx_assignment-0.1.13-py3-none-any.whl
Algorithm Hash digest
SHA256 016adf1f6b99e82c8fd9d888fa563c50739ce724abeebce5bcff35d74fde97b2
MD5 b18f9c405f9f8a42c85e9952e26cc36c
BLAKE2b-256 7caf3e162823fabf52a49c0fcf0cfd2057efc2de29494a475e2bb8f7cf956974

See more details on using hashes here.

Provenance

The following attestation bundles were made for matrx_assignment-0.1.13-py3-none-any.whl:

Publisher: publish-package.yml on AI-Matrix-Engine/aidream

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

This release

0.1.13 This release

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page