python_lib
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Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
55 tagged machine learning, measured the same way as everything else here.
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Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
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This directory contains product and tech specs for Streamlit features.
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Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
rocketride-org/rocketride-server
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Before ANY Rocket Ride code, read ALL 6 files at docs/agents/.
rocketride-org/rocketride-server
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Use when working with RocketRide pipelines, SDK, components, or configuration.
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Project-wide commenting policy — explain WHY the code is the way it is; avoid change-log comments.
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How to understand, add or modify ZenML domain models.
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How to understand, add or update ZenML ORM schemas.
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New model classes should start in physicsnemo/experimental/nn or physicsnemo/experimental/models during development, where backward compatibility is not guaranteed.
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All forward and public methods must validate tensor shapes at the beginning, wrapped in torch.compiler.iscompiling() guard, with standardized error messages.
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Use checkminversion() to check optional dependencies without importing, and @requireversion decorator to protect version-specific features; pyproject.toml is the single source of truth for dependencies.
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Python code style — imports, third-party submodules, and docstrings.
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Tests and coverage when changing src/, scripts/, or tests/.
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Visible console, TensorBoard with train jobs, logs/tmp captures, no repo-root tmp.