-   type: dropdown id: source attributes: label: Source description: Tensorflow

./mc version enable sitea/testbucket

./mc put --quiet README.md sitea/testbucket/file
etag1=$(./mc cat sitea/testbucket/file | md5sum --tag | awk {'print $4'})

./mc cp --quiet --storage-class "STANDARD" sitea/testbucket/file sitea/testbucket/file
etag2=$(./mc cat sitea/testbucket/file | md5sum --tag | awk {'print $4'})
if [ $etag1 != $etag2 ]; then
	echo "expected $etag1, got $etag2"
	exit 1
fi

echo "SUCCESS:"

 *
 * As another example, this code prints the human-readable query parameters of a Twitter search:
 *
 * ```java
 * HttpUrl url = HttpUrl.parse("https://twitter.com/search?q=cute%20%23puppies&f=images");
 * for (int i = 0, size = url.querySize(); i < size; i++) {
 *   System.out.println(url.queryParameterName(i) + ": " + url.queryParameterValue(i));
 * }
 * ```
 *
 * which prints:
 *
 * ```
 * q: cute #puppies
 * f: images

  fi
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.

        return $?
    fi
}

# Print command line usage / help
usage() {
    echo "Usage: $0 [-vdh] [-p pidfile] [-D prop] [-X prop]"
    echo "Start fess."
    echo "    -d            daemonize (run in background)"
    echo "    -p pidfile    write PID to <pidfile>"
    echo "    -h"
    echo "    --help        print command line options"
    echo "    -v            print fess version, then exit"

#
# That will prepare the files and create the commit.
#
# To review such a commit (as the reviewer), use:
#
#	git codereview change NNNNNN   # CL number
#	cd lib/time
#	./update.bash
#
# If it prints "No updates needed.", then the generated files
# in the CL match the update.bash in the CL.

# Versions to use.
CODE=2025b
DATA=2025b

set -e

cd $(dirname $0)
rm -rf work
mkdir work

	if err = newTestConfig(globalMinioDefaultRegion, obj); err != nil {
		t.Fatal(err)
	}

	apiEndpoints := []string{"http://127.0.0.1:9000"}
	printServerCommonMsg(apiEndpoints)
}

// Tests print cli access message.
func TestPrintCLIAccessMsg(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

	obj, fsDir, err := prepareFS(ctx)
	if err != nil {
		t.Fatal(err)
	}

 *    thread's [uncaught exception handler][Thread.UncaughtExceptionHandler]. By default this
 *    crashes the application on Android and prints a stacktrace on the JVM. (Crash reporting
 *    libraries may customize this behavior.)
 *
 * A good way to signal a failure is with a synthetic HTTP response:
 *
 * ```kotlin
 *   @Throws(IOException::class)

rfork n

if(! test -f make.rc){
	echo 'all.rc must be run from $GOROOT/src' >[1=2]
	exit wrongdir
}

. ./make.rc --no-banner $*
bind -b $GOROOT/bin /bin
./run.rc --no-rebuild

  - type: dropdown
    id: source
    attributes:
      label: Source
      description: TensorFlow installed from