Unable to Read Parquet Files from S3 Bucket

escription:
I'm attempting to read Parquet files from an S3 bucket using DataFusion in Python. Below is the code snippet I'm using:

python
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import datafusion
from datafusion import SessionContext

s3 = object_store.object_store.AmazonS3("s3://test/", "us-east-2")
ctx = SessionContext()
ctx.register_object_store("s3", s3)
df = ctx.read_parquet("s3://test/00001.parquet")
Error Encountered:
I'm encountering the following error:

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dataFusion error: Internal("No suitable object store found for s3://test/00001.parquet")
Issue Investigation:
I've tried to find relevant documentation or support resources but haven't been successful in locating any.

Resources Reviewed:
While researching, I came across the following Rust documentation which appears relevant but unfortunately doesn't have a corresponding Python counterpart:

[DataFusion Rust Documentation](https://arrow.apache.org/datafusion-python/generated/datafusion.object_store.object_store.html)
[DataFusion ObjectStore S3 Rust Documentation](https://docs.rs/datafusion-objectstore-s3/latest/datafusion_objectstore_s3/)
Request for Assistance:
Could someone please guide me on how to resolve this issue in Python? Any assistance or pointers to relevant documentation would be greatly appreciated. Thank you!

Start with the mentioned SessionContext.register_object_store and read_parquet entry points, then compare the linked Python object-store documentation with the Rust S3 documentation. Reproduce the reported "No suitable object store found" error and determine whether the Python usage is supported or needs documentation or a tested correction.

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