Data Processing
Линеаризатор воспроизводимого скрипта Jupyter Notebook
Преобразует .ipynb в Python со знаками # %% и выявляет нарушенное, скрытое и удалённое состояние
text· Текстовый результатОткрыть инструмент
Быстрый старт
Вызовите этот инструмент из своего кода на трёх языках.
cURL
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/jupyter-notebook-to-reproducible-script-linearizer' \
-H 'Content-Type: application/json' \
-d '{"filename":"notebookFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/ru/api/tools/jupyter-notebook-to-reproducible-script-linearizer' \
-F 'notebookInput={"nbformat":4,"cells":[{"cell_type":"code","execution_count":2,"source":["print(model)"]},{"cell_type":"code","execution_count":1,"source":["import numpy as np\nmodel = np.random.rand(3)"]}]}' \
-F 'notebookFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'cellOrder=execution' \
-F 'includeMarkdown=true'