dora-cli 1.0.0-rc.2

`dora` goal is to be a low latency, composable, and distributed data flow.
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[project]
name = "___name___"
version = "0.0.0"
requires-python = ">=3.11"
# Depend on the workspace members so `uv run` (which syncs the
# workspace-root `.venv` before executing) installs each node package
# AND its transitive deps (`dora-rs` → `pyarrow`, `numpy`, `pyyaml`)
# into the env. Without this, `uv run pytest` fails with
# `ModuleNotFoundError: No module named 'pyarrow'` because the test
# stubs do `import pyarrow as pa` but uv only installs the root
# project's own deps, not member deps.
dependencies = ["talker-1", "talker-2", "listener-1"]

[tool.uv.workspace]
members = ["talker-1", "talker-2", "listener-1"]

# Tell uv to resolve the named workspace members from the local
# directories (not from PyPI) when satisfying `dependencies` above.
[tool.uv.sources]
talker-1 = { workspace = true }
talker-2 = { workspace = true }
listener-1 = { workspace = true }
___DORA_RS_PATH_SOURCE___

# Dev tools must live in the workspace-root pyproject (not just the
# per-node ones) because `uv run` resolves against the workspace root.
# Without this, `uv run ruff` / `uv run pytest` from the project
# directory fail with "Failed to spawn: ruff / No such file or
# directory" — `uv` creates a fresh `.venv` for the workspace and
# doesn't install per-node `[dependency-groups] dev` into it.
# Matches the versions pinned in the per-node template.
[dependency-groups]
dev = ["pytest >=8.1.1", "ruff >=0.9.1"]