aws / aws/amazon-sagemaker-examples
parquet_to_recordio_protobuf.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
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- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/parquet_to_recordio_protobuf/parquet_to_recordio_protobuf.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
----> 1 from fastparquet import write
2 from fastparquet import ParquetFile
3
4 def save_as_parquet_file(dataset, filename, label_col):
5 X = dataset[0]
/opt/conda/lib/python3.7/site-packages/fastparquet/__init__.py in
3
4 from .thrift_structures import parquet_thrift
----> 5 from .core import read_thrift
6 from .writer import write
7 from . import core, schema, converted_types, api
/opt/conda/lib/python3.7/site-packages/fastparquet/core.py in
7 from thrift.protocol.TCompactProtocol import TCompactProtocol
8
----> 9 from . import encoding
10 from .
[...]
ModuleNotFoundError: No module named 'numba.experimental'
Contributor guide
Research direction
Open advanced_functionality/parquet_to_recordio_protobuf/parquet_to_recordio_protobuf.ipynb and inspect the failing In [4] cell, beginning with its fastparquet and numba imports. Run the notebook or its CI check to reproduce the ModuleNotFoundError; done means the notebook completes without this import failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data-engineering, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100