fi

OBJ_NAME=$(./mc ls myminio1/test-bucket --json | jq '.key' | sed 's/"//g')
if [[ ${OBJ_NAME} != "hosts" ]]; then
	echo "BUG: Expected object: hosts, Found: ${BKT_NAME}"
	exit 1
fi

# Finally kill running processes
pkill minio

        /**
         * Run at the beginning of each build. Kill potentially leaked processes in previous builds.
         * Only kill local Gradle processes (classpath in checkout directory).
         * Not clean up global Gradle processes (i.e. classpath in ~/.gradle/...).
         */
        KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS,
        /**
         * Run at the end of each build. Kill potentially leaked processes in the current build.

+ [Contributor License Agreement][cla]
+ [General GitHub documentation](https://help.github.com/)
+ [GitHub pull request documentation](https://docs.github.com/en/github/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork)
+ [Apache Maven Twitter Account](https://twitter.com/ASFMavenProject)
+ #Maven IRC channel on freenode.org

./mc admin decom start myminio/ http://localhost:9000/tmp/xl/{1...10}/disk{0...1}

until $(./mc admin decom status myminio/ | grep -q Complete); do
	echo "waiting for decom to finish..."
	sleep 1
done

kill $pid_1
kill $pid_2

sleep 5

(minio server --address ":9001" http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/removed.log) &
pid=$!

export MC_HOST_myminio="http://minioadmin:minioadmin@localhost:9001/"

xt-align:center;width:2em;line-height:inherit}.fa-border{border:.08em solid #eee;border-radius:.1em;padding:.2em .25em .15em}.fa-pull-left{float:left}.fa-pull-right{float:right}.fa.fa-pull-left,.fab.fa-pull-left,.fal.fa-pull-left,.far.fa-pull-left,.fas.fa-pull-left{margin-right:.3em}.fa.fa-pull-right,.fab.fa-pull-right,.fal.fa-pull-right,.far.fa-pull-right,.fas.fa-pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s linear infinite;animation:fa-spin 2s linear infinite}.fa-pulse{-web...

#!/bin/bash

if [ -n "$TEST_DEBUG" ]; then
	set -x
fi

pkill minio
pkill kes
rm -rf /tmp/xl

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

if [ ! -f ./kes ]; then
	wget --quiet -O kes https://github.com/minio/kes/releases/latest/download/kes-linux-amd64 &&
		chmod +x kes
fi

if ! openssl version &>/dev/null; then

    // We consider elementData(index) a "hole", and we want to fill it
    // with the last element of the heap, toTrickle.
    // Since the last element of the heap is from the bottom level, we
    // optimistically fill index position with elements from lower levels,
    // moving the hole down. In most cases this reduces the number of
    // comparisons with toTrickle, but in some cases we will need to bubble it
    // all the way up again.

./mc admin decom start myminio/ http://localhost:9000/tmp/xl/{1...10}/disk{0...1}

until $(./mc admin decom status myminio/ | grep -q Complete); do
	echo "waiting for decom to finish..."
	sleep 1
done

kill $pid_1
kill $pid_2

sleep 5

(minio server --address ":9001" http://localhost:9001/tmp/xl/{11...30}/disk{0...3} 2>&1 >/tmp/removed.log) &
pid=$!

export MC_HOST_myminio="http://minioadmin:minioadmin@localhost:9001/"

EY}`\n\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ACTIVE_UL = '> li > .active'\nconst SELECTOR_DATA_TOGGLE = '[data-toggle=\"tab\"], [data-toggle=\"pill\"], [data-toggle=\"list\"]'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_ACTIVE_CHILD = '> .dropdown-menu .active'\n\n/**\n * Class definition\n */\n\nclass Tab {\n  constructor(element) {\n    this._element = element\n...

pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged
automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,