* loader and prevent it from being garbage collected. This poses a problem for environments where
 * you want to throw away the class loader. For example, dynamically reloading a web application or
 * unloading an OSGi bundle.
 *
 * <p>{@code com.google.common.base.FinalizableReferenceQueue} loads this class in its own class

      --with-gcc-major-version-only \
      --with-linker-hash-style="gnu" \
      && \
      make -j$(nproc) && \
      make install


# Create the devtoolset libstdc++ linkerscript that links dynamically against
# the system libstdc++ 4.4 and provides all other symbols statically.
# Note that the installation path for libstdc++ here is ${TARGET}/usr/lib64/
mv "${TARGET}/usr/lib64/libstdc++.so.${LIBSTDCXX_VERSION}" \

    val jna = "net.java.dev.jna:jna"
    val agp = "com.android.tools.build:gradle"
    val xbeanReflect = "org.apache.xbean:xbean-reflect"
    val xmlApis = "xml-apis:xml-apis"

    // Compile only dependencies (dynamically downloaded if needed)
    val maven3Compat = "org.apache.maven:maven-compat"
    val maven3PluginApi = "org.apache.maven:maven-plugin-api"
    val zinc = "org.scala-sbt:zinc_2.13"

    // Test classpath only libraries

		}
		return
	}

	if result.Dynamic {
		applyDynamic(ctx, objectAPI, result.Cfg, result.SubSys, r, w)
		// If logger webhook config updated (proxy due to callhome), explicitly dynamically
		// apply the config
		if result.LoggerWebhookCfgUpdated {
			applyDynamic(ctx, objectAPI, result.Cfg, config.LoggerWebhookSubSys, r, w)
		}
	}

	writeSuccessResponseHeadersOnly(w)
}

					reqInfo := (&logger.ReqInfo{}).AppendTags("peerAddress", addr.String())
					ctx := logger.SetReqInfo(ctx, reqInfo)
					peersLogOnceIf(ctx, err, addr.String())
				}
				// Wait for a minimum of 100ms and dynamically increase this based on number of attempts.
				if i < g.retryCount-1 {
					time.Sleep(100*time.Millisecond + time.Duration(r.Float64()*float64(time.Second)))
				}
				continue
			}
			break
		}
	}()

This offered performance benefits that were too large to leave on the table, as well as opportunities to tune to our specific needs.

## Configuration protocol

Ztunnel, of course, needs to be dynamically configured in order to make decisions on how it should handle traffic.
For this purpose, we chose to use xDS transport protocol due to our expertise and existing infrastructure, and because the protocol is well suited to our needs.

This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {

This means that a CUDA target was probably included via an is_static condition,
used when targeting platforms like Windows where we build statically instead
of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {

	tx = db.getInstance()
	tx.Statement.AddClause(clause.Limit{Offset: offset})
	return
}

// Scopes pass current database connection to arguments `func(DB) DB`, which could be used to add conditions dynamically
//
//	func AmountGreaterThan1000(db *gorm.DB) *gorm.DB {
//	    return db.Where("amount > ?", 1000)
//	}
//
//	func OrderStatus(status []string) func (db *gorm.DB) *gorm.DB {

    public boolean isCancelled() {
      return delegate.isCancelled();
    }
  }

  /**
   * A {@link Scheduler} that provides a convenient way for the {@link AbstractScheduledService} to
   * use a dynamically changing schedule. After every execution of the task, assuming it hasn't been
   * cancelled, the {@link #getNextSchedule} method will be called.
   *
   * @author Luke Sandberg
   * @since 11.0
   */