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add env variables for user-specific paths - #624
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Lab defaults are unchanged; each can now be overridden without editing yaml:
EGOVERSE_DATASET_DIR -> paths.dataset_dir
EGOVERSE_LOG_DIR -> paths.log_dir (default $PROJECT_ROOT/logs, i.e. ./logs)
EGOVERSE_PI05_WEIGHTS -> model/pi0.5_base pytorch_weight_path
WANDB_ENTITY / WANDB_PROJECT -> logger/wandb entity / project
${paths.log_dir}//_ instead of a literal ./logs/...
.(launch dir), not ${hydra:runtime.cwd}: thelaunchers read hydra.sweep.dir -> paths.log_dir -> paths.root_dir before a
HydraConfig exists, so any ${hydra:...} there breaks every
-mlaunch.real
hydra.main -m hydra/launcher=basicrun in a subprocess, which is theonly check that exercises the launcher's sweep-dir resolution);
tests/unit/conftest.py holds the shared compose+resolve helper as a fixture
that also resets the HydraConfig singleton. test_hydra_configs also resolves
the hydra.launcher node for every launcher yaml (gres ${eval:} strings,
signal_delay_s).
Co-Authored-By: Claude Fable 5.1 noreply@anthropic.com
Claude-Session: https://claude.ai/code/session_01UHDiN8yfERcsiFdz4mXuZi
🤖 Generated with Claude Code
https://claude.ai/code/session_01UHDiN8yfERcsiFdz4mXuZi