// Or, a valid rule could also be either a pre-existing or a new rule that is created using PutBucketLifecycleConfiguration.
	// Prefix validation below may check that either Rule.Prefix or Rule.Filter.Prefix exist but not both.
	// Here, we assume the pre-existing rule created using PutBucketLifecycle API is already valid and won't fail the validation if Rule.Prefix is empty.

TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

    echo "   --prop=val"
    echo "   --prop val     set fess property (i.e. -Des.<prop>=<val>)"
}

# Parse any long getopt options and put them into properties before calling getopt below
# Be dash compatible to make sure running under ubuntu works
ARGV=""
while [ $# -gt 0 ]
do
    case $1 in
      --help) ARGV="$ARGV -h"; shift;;
      --*=*) properties="$properties -Dfess.${1#--}"

}

type wrapperConnPool struct {
	db     *sql.DB
	got    []string
	expect []string
}

func (c *wrapperConnPool) Ping() error {
	return c.db.Ping()
}

// If you use BeginTx returned *sql.Tx as shown below then you can't record queries in a transaction.
//
//	func (c *wrapperConnPool) BeginTx(ctx context.Context, opts *sql.TxOptions) (*sql.Tx, error) {
//		 return c.db.BeginTx(ctx, opts)
//	}
//

Gradle is arranged into coarse-grained components called "architecture modules" and "platforms".
See [ADR4](standards/0004-use-a-platform-architecture.md) for a definition of these terms.

The diagram below shows the current set of architecture modules and platforms:

<!-- This diagram is generated. Use `./gradlew :architectureDoc` to update it -->
```mermaid
    graph TD

    subgraph core["core platform"]

# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is

package jcifs.spnego;

import jcifs.CIFSException;

/**
 * Exception thrown during SPNEGO authentication processing.
 *
 * This exception indicates an error in SPNEGO token processing,
 * negotiation, or authentication flow.
 *
 * @author mbechler
 */
public class SpnegoException extends CIFSException {

    /**
     *
     */
    private static final long serialVersionUID = -4591854684249021395L;

    /**

                    this.session.release();
                }
            }
        } else if (usage < 0) {
            log.error("Usage count dropped below zero " + this);
            dumpResource();
            throw new RuntimeCIFSException("Usage count dropped below zero");
        }
    }

    /**
     * @param stackTrace
     * @return
     */

                    + " has no explicit version, may inherit from parent");
            return false;
        }

        if (isProperty) {
            // Update property value if it's below minimum version
            return upgradePropertyVersion(pomDocument, propertyName, upgrade, sectionName, context);
        } else {
            // Direct version comparison and upgrade

        #  The settings are objectTypeTargetList, tableExceptList,
        #  tableTargetList, and columnExceptMap.
        #  They have the same specification as ones of the main schema.
        #  Elements of this map are as below: 
        #    o objectTypeTargetList: (NotRequired - Default 'map:{TABLE;VIEW}')
        #    o tableExceptList: (NotRequired - Default list:{})
        #    o tableTargetList: (NotRequired - Default list:{})