[show-gpus] pandas FutureWarning on running sky show-gpus

[romilbhardwaj]

Pandas 2.1.0 shows a long list of FutureWarning when running sky show-gpus. Is not an issue with pandas < 2.0.3.

Reproduce - run container from scratch

docker run -e SKYPILOT_DEV=1 -it --platform linux/amd64 --rm continuumio/miniconda3
apt update -y; apt install -y rsync build-essential
pip install skypilot-nightly

This installs pandas 2.1.0. Try running sky show-gpus:

(base) root@73c42b3fa8b9:/# sky show-gpus
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
/opt/conda/lib/python3.11/site-packages/sky/clouds/service_catalog/common.py:492: FutureWarning: The provided callable <built-in function min> is currently using DataFrameGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass 'min' instead.
  dropna=False).aggregate(min).reset_index()
COMMON_GPU  AVAILABLE_QUANTITIES
A10         1, 2, 4
A10G        1, 4, 8
A100        1, 2, 4, 8, 16
A100-80GB   1, 2, 4, 8
H100        1, 8
K80         1, 2, 4, 8, 16
L4          1, 2, 4, 8
M60         1, 2, 4
P100        1, 2, 4
T4          1, 2, 4, 8
V100        1, 2, 4, 8
V100-32GB   1, 2, 4, 8

GOOGLE_TPU   AVAILABLE_QUANTITIES
tpu-v2-8     1
tpu-v2-32    1
tpu-v2-128   1
tpu-v2-256   1
tpu-v2-512   1
tpu-v3-8     1
tpu-v3-32    1
tpu-v3-64    1
tpu-v3-128   1
tpu-v3-256   1
tpu-v3-512   1
tpu-v3-1024  1
tpu-v3-2048  1

Hint: use -a/--all to see all accelerators (including non-common ones) and pricing.