* Tensorflow will continue to support NumPy 1.26 until 2025, aligning with community standard deprecation timeline [here](https://scientific-python.org/specs/spec-0000/).

* Hermetic CUDA support is added.

			}
		} else {
			if errors[fileline] != "" {
				t.Errorf("unexpected error on %s: %v", fileline, errors[fileline])
			}
		}
		delete(errors, fileline)
	}
	var extra []string
	for key := range errors {
		extra = append(extra, key)
	}
	sort.Strings(extra)
	for _, fileline := range extra {
		t.Errorf("unexpected error on %s: %v", fileline, errors[fileline])
	}

				Modified: time.Date(2011, 12, 8, 10, 4, 24, 0, timeZone(0)),
				Mode:     0666,
			},
			{
				Name:     "dir/bar",
				Content:  []byte("foo \r\n"),
				Modified: time.Date(2011, 12, 8, 10, 4, 50, 0, timeZone(0)),
				Mode:     0666,
			},
			{
				Name:     "dir/empty/",
				Content:  []byte{},
				Modified: time.Date(2011, 12, 8, 10, 8, 6, 0, timeZone(0)),
				Mode:     fs.ModeDir | 0777,
			},
			{

	postgresDSN  = "user=gorm password=gorm dbname=gorm host=localhost port=9920 sslmode=disable TimeZone=Asia/Shanghai"
	gaussdbDSN   = "user=gaussdb password=Gaussdb@123 dbname=gorm host=localhost port=9950 sslmode=disable TimeZone=Asia/Shanghai"
	sqlserverDSN = "sqlserver://sa:LoremIpsum86@localhost:9930?database=master"

    - name: Tests
      run: GITHUB_ACTION=true GORM_DIALECT=postgres GORM_DSN="user=gorm password=gorm dbname=gorm host=localhost port=9920 sslmode=disable TimeZone=Asia/Shanghai" ./tests/tests_all.sh

  sqlserver:
    strategy:
      matrix:
        go: ['1.23', '1.24']
        platform: [ubuntu-latest] # can not run test in macOS and windows

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *TargetReplicationResyncStatus) Msgsize() (s int) {
	s = 1 + 3 + msgp.TimeSize + 4 + msgp.TimeSize + 3 + msgp.StringPrefixSize + len(z.ResyncID) + 4 + msgp.TimeSize + 4 + msgp.IntSize + 3 + msgp.Int64Size + 4 + msgp.Int64Size + 3 + msgp.Int64Size + 4 + msgp.Int64Size + 4 + msgp.StringPrefixSize + len(z.Bucket) + 4 + msgp.StringPrefixSize + len(z.Object)

    init {
        id("Promotion_AllBranchesStartReleaseCycleTest")
        name = "Start Release Cycle Test"
        description = "Test for Start Release Cycle pipeline"

        steps {
            gradleWrapper {
                name = "PromoteTest"
                tasks = "clean promoteStartReleaseCycle"
                useGradleWrapper = true
                gradleParams =

		atomic.AddUint64(&p.operations[s], 1)
		if s < scannerMetricLastRealtime {
			p.latency[s].add(duration)
		}
	}
}

// timeSize add time and size of a scanner action.
// Use for s < scannerMetricLastRealtime
func (p *scannerMetrics) timeSize(s scannerMetric) func(sz int) {
	startTime := time.Now()
	return func(sz int) {
		duration := time.Since(startTime)

		atomic.AddUint64(&p.operations[s], 1)

import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
import java.util.TimeZone;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.crawler.Constants;

 *
 * Usage: `mvn compile exec:java@update-test-buckets -DinputTestClassDataJson=/path/to/test-class-data.json`.
 * You can get the JSON file as an artifacts of the "autoUpdateTestSplitJsonOnGradleMaster" pipeline in TeamCity.
 */
fun main() {
    val model =
        CIBuildModel(
            projectId = "Check",
            branch = VersionedSettingsBranch("master"),
            buildScanTags = listOf("Check"),