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active return 0 } # checkUserExists ($username) # Check if the user exists, by using the exit code of `mc admin user info` checkUserExists() { USER=$1 CMD=$(${MC} admin user info myminio $USER > /dev/null 2>&1) return $? } # createUser ($username, $password, $policy) createUser() { USER=$1 PASS=$2 POLICY=$3 # Create the user if it does not exist if ! checkUserExists $USER ; then echo "Creating user '$USER'" ${MC} admin user add myminio $USER $PASS else echo "User '$USER' already exists." fi # set policy...

active return 0 } # checkUserExists ($username) # Check if the user exists, by using the exit code of `mc admin user info` checkUserExists() { USER=$1 CMD=$(${MC} admin user info myminio $USER > /dev/null 2>&1) return $? } # createUser ($username, $password, $policy) createUser() { USER=$1 PASS=$2 POLICY=$3 # Create the user if it does not exist if ! checkUserExists $USER ; then echo "Creating user '$USER'" ${MC} admin user add myminio $USER $PASS else echo "User '$USER' already exists." fi # set policy...

Network isolation between different models is also important not only to prevent
unauthorized access to data or models, but also to prevent malicious users or
tenants sending graphs to execute under another tenant’s identity.

The isolation mechanisms are the responsibility of the users to design and
implement, and therefore security issues deriving from their absence are not
considered a vulnerability in TensorFlow.