The previous nbformat-based conversion dumped raw cell.source for every
code cell. The gpt-oss-20B notebook's first cell uses Jupyter !shell
magic to install dependencies:
!pip install --upgrade -qqq uv
!uv pip install -qqq ... \
git+https://github.com/triton-lang/triton.git@0add68... ...
Dumped verbatim, the `@0add68...` token tripped the Python parser with
"SyntaxError: invalid decimal literal" before training could even start.
The container already has unsloth, triton, transformers, etc. baked in,
so we don't need the notebook's install cell. Skip any cell whose source
contains pip/install markers, and comment out stray !cmd / %magic lines
in any other cells. Then assert nb.py parses with ast.parse() before
trying to run it -- catches conversion failures up front instead of at
training time.
Reproduces on RTX PRO 6000 Blackwell (sm_120, fresh Docker 29.2.1
host) where the previous conversion produced an invalid nb.py.
391532c031