With a config like this

{
    "METAFLOW_DATASTORE_SYSROOT_S3": "s3://mf-test/metaflow/",
}

(note a slash after METAFLOW_DATASTORE_SYSROOT_S3)

metaflow.S3(run=self).put* produces double-slashes like here:

s3://mf-test/metaflow//data/DataLoader/1630978962283843/month=01/data.parquet

The trailing slash in the config shouldn't make a difference

Currently you can only do training when you've committed and pushed all new changes in your branch. This introduces a blocker when a Data Scientist is trying out lots of different changes in their code.

Allow for training even with uncommitted changes. This can be done by taking a git diff of the current branch, storing it and then doing an git apply to the current branch during training

Hi,

I am new to use MONAI and try the tutorial "01 simple_app" by jupyter notebook.

MAP is built successfully and I tried to run but got a error message as following.

the command i used.

Copy a test input file to 'input' folder

!mkdir -p testinput && rm -rf input/*
!cp {test_input_path} testinput/
!ls testinput

Launch the app

!monai-deploy run simple_app:latest testinput output