Comments (3)
Thanks for the report @kellrott . This is a known issue and this is the issue:
.Basically this was added because there was an issue that the owner of the S3 bucket actually didn't have access to the S3 objects uploaded into the buckets.
That being said, this particular canned ACL is not supported on the IBM buckets. Currently unsure of the resolution other than pointing people to use older verisons of the synapseclient (2.3.1). (unfortunately...)
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I had been using older versions of synapseclient (2.3.1) but recently an attempt to install the older version is failing. I'm not sure which dependency(ies) have a new releases that causes conda and pip to fail to install. Do you have record of the version of python, pandas, boto, etc that are compatible with 2.3.1?
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@JenniferShelton Apologies, I must have missed this message!
Python==3.8,3.9
pandas>=0.25.0,<1.5
boto3>=1.7.0,<2.0
We just onboarded an engineer to help with the client, I'll be sure to re-visit this issue again as we will eventually reach a point where Python 3.9 EOL. For more transparency, here is the Jira ticket internally to track this work: https://sagebionetworks.jira.com/browse/SYNPY-1198
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Related Issues (20)
- `FutureWarning` received when reading in a Synapse table as a data frame HOT 1
- synapseclient.core.exceptions.SynapseHTTPError: 403 Client Error: insufficient_scope. Request lacks scope(s) required by this service: modify HOT 1
- Progress stops during the download HOT 3
- Synapse login not the same with `authToken` and `apiKey` HOT 11
- 2.4.0 release doesn't generate easy_path file HOT 7
- Let the user specify the number of allowed threads HOT 1
- Passing a pandas dataframe with a column called "read" breaks the type parsing in as_table_columns() HOT 2
- Synapse Python Client -> Sign Up error -> Timestamp in request is out of date HOT 2
- login error HOT 2
- Feature Request: Filter capability for syncFromSynapse HOT 1
- Update Entity class to be compatible with the new Dataset entity
- as_table_columns function is mishandling mixed data types HOT 1
- build_table error HOT 1
- utils' `is_synapse_id` does not work as intended HOT 3
- [Feature request] Add `is_synapse_id` to the client
- Caching is not working for function `_queryTableCsv` function HOT 2
- Upgrade to Pandas 2.0
- ImportError: urllib3 v2.0 only supports OpenSSL 1.1.1+ HOT 5
- [Bug] unexpected keyword argument 'line_terminator' HOT 2
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