v0.9.6

0.9.6 (2023-11-30)

Features

• package: fewer dependencies with fewer version pins (#95) (699d40e)

v0.9.5

0.9.5 (2022-10-10)

Features

• swarm: increase solver state size to support longer problems (#82) (22a990b)

v0.9.4

0.9.4 (2022-10-10)

Bug Fixes

• python3.7: update mathy_envs for typing fix (#80) (070fc8c)

v0.9.3

0.9.3 (2022-10-10)

Bug Fixes

• windows: relax numpy range to support windows (#79) (1d591ad)

v0.9.2

0.9.2 (2022-10-10)

Bug Fixes

• pypi: stricter requirements for dependencies (#76) (20df3be)

v0.9.1

0.9.1 (2021-04-08)

Features

• requirements: update to latest mathy_core/mathy_envs versions (#57) (7983d88)

v0.9.0

0.9.0 (2020-10-18)

Features

• solver: replace ML model with Swarm solver (2e192ff)

BREAKING CHANGES

• solver: This removes mathy.agent and all training utilities

v0.8.1

0.8.1 (2020-07-24)

Bug Fixes

• cli: simplify command without fragile installed (c4dfcec)

v0.8.0

0.8.0 (2020-07-24)

Features

• mathy: cleanup and remove dead code (ec686d9)

BREAKING CHANGES

• mathy: This removes the MCTS powered agent. It was a nice agent but the pieces required for it to work effectively have been lost. It's not a primary use-case of mine now, so it's better to drop it and remove any confusion.

• refactor(agents): move to singular agent with generic names

• PolicyValueModel -> AgentModel
• Remove embeddings model and make it part of AgentModel

• refactor(model): replace custom keras model with functional

• allows graphing model architecture for website
• adds extra validation
• allows full-model saving (without explicit optimizer save/loading)

• refactor(model): move action masking out of the model

• Soooo masking doesn't play well with full-model saving and loading, or functional models, or keras strict data validation. Drop it out of the model, and let the action selector do its own masking.
• TODO: add a loss term for the mask in addition to the policy loss?

• chore: misc cleanup and fix tests

• chore: update tf_siren dep

• chore: fix some tests and remove dead ones

• refactor(core): use mathy_core for CAS needs

This moves a lot of complexity out to another package, which is desirable for a number of reasons:

• when you only need to do CAS things, the mathy_core package can be installed without the need for larger things like TensorFlow or PyTorch which can make the install time much quicker
• the build time for the Mathy repo goes down by however much time it took to compile and test the core mathy code.
• it's easier to browse the code if you're unfamiliar with Mathy because it's not buried in a monorepo under a mountain of other folders

• chore: fix website build

• perf(ci): refactor virtual envs to reduce build time

• share a root virtualenv to avoid double or triple installing hefty packages like TensorFlow and PyTorch

• chore: remove ci specific setup script

• chore: remove disk space cleanup step

• it takes about a minute, and it's unclear if it's needed now that we share a root virtual env

• chore: drop keras-self-attention dep

• chore: fix requirements for tf agent

• chore: fix requirements for mkdocs plugin

• chore: install graphviz on ci build machine

• chore: try tensorflow 2.2.0

• I think this caused optimizer loading problems last time I tried to upgrade, but let's see

• chore: fix import errors

• chore: try to confirm siren fix

• chore: remove kwargs from Sine layer

• chore: remove second pytest invocation for zero

• TensorFlow didn't mix too well with multiprocessing so I had to run the MP tests separately for the Zero agent.
• Zero agent is gone, cya extra test invocation

• chore: fix venv path in test scripts

• chore: drop example apps from main package

• will add them later as mathy org repositories
• update API docs
• drop some unused queues

• chore: drop reformer test

• chore: bump tf_siren to 0.0.5 for tf2.2

• chore: drop misc cleanup

• test(cli): better coverage for generating problems

• chore: cleanup from review

• chore: cleanup from review

BREAKING CHANGES: This removes the "zero" agent entirely, and invalidates existing pretrained mathy models.

v0.7.14

0.7.14 (2020-04-19)

Features

• fragile: add HistoryTree support
• fragile: add support for lists of problems to swarm_solve
• fragile: install as a non-optional dependency