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Add anon=True option for IPAC
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tutorials/parquet-catalog-demos/euclid-hats-parquet.md

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@@ -53,7 +53,7 @@ This notebook demonstrates the basics.
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## Installs and imports
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```{code-cell}
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# !pip uninstall -y numpy pyerfa
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# !pip uninstall -y numpy pyerfa # Helps resolve numpy>=2.0 dependency issues.
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# !pip install 'hats>=0.5' 'lsdb>=0.5' matplotlib numpy s3fs
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```
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@@ -82,6 +82,9 @@ from upath import UPath
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s3_bucket = "irsa-fornax-testdata"
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s3_key = "EUCLID/q1/mer_catalogue/hats"
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euclid_s3_path = UPath(f"s3://{s3_bucket}/{s3_key}")
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# Note: If running from IPAC, you need an anonymous connection. Uncomment the next line.
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# euclid_s3_path = UPath(f"s3://{s3_bucket}/{s3_key}", anon=True)
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```
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We will use [`hats`](https://hats.readthedocs.io/) to visualize the catalog and access the schema.

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