Jinzhu <******@****.***> 1710820228 +0800

Andi Bräu <******@****.***> 1711668050 +0100

        "nn_grad.h",
        "not_differentiable.h",
    ],
    visibility = ["//tensorflow/python:__pkg__"],
)

cc_library(
    name = "grad_test_helper",
    testonly = True,
    srcs = ["grad_test_helper.cc"],
    hdrs = ["grad_test_helper.h"],
    visibility = ["//visibility:private"],
    deps = [
        "//tensorflow/c/eager:gradient_checker",
        "//tensorflow/c/eager:gradients_internal",

        "@com_google_absl//absl/log",
    ],
    alwayslink = 1,
)

# Library implementing helper functionality, so that the above only contains
# the API implementation for modular filesystems.
cc_library(
    name = "posix_filesystem_helper",
    srcs = ["posix_filesystem_helper.cc"],
    hdrs = ["posix_filesystem_helper.h"],
    deps = [":copy_file"],
)

package notify

import (
	"fmt"
	"strconv"
	"strings"

	"github.com/minio/minio/internal/config"
	"github.com/minio/minio/internal/event/target"
)

// SetNotifyKafka - helper for config migration from older config.
func SetNotifyKafka(s config.Config, name string, cfg target.KafkaArgs) error {
	if !cfg.Enable {
		return nil
	}

	if err := cfg.Validate(); err != nil {
		return err
	}

        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/types:variant",
    ],
)

cc_library(
    name = "gcs_helper",
    srcs = ["gcs_helper.cc"],
    hdrs = ["gcs_helper.h"],
    linkstatic = 1,
    deps = [
        "//tensorflow/c:env",
    ],
)

cc_library(
    name = "cleanup",
    hdrs = ["cleanup.h"],
)

cc_library(

    static final class Helper<K, V>
        implements InternalEntryHelper<
            K, V, StrongKeyStrongValueEntry<K, V>, StrongKeyStrongValueSegment<K, V>> {
      private static final Helper<?, ?> INSTANCE = new Helper<>();

      @SuppressWarnings("unchecked")
      static <K, V> Helper<K, V> instance() {
        return (Helper<K, V>) INSTANCE;
      }

      @Override

	"strings"
	"testing"
	"time"

	"github.com/minio/minio/internal/logger/target/testlogger"
)

func TestSingleRoundtrip(t *testing.T) {
	defer testlogger.T.SetLogTB(t)()
	errFatal := func(err error) {
		t.Helper()
		if err != nil {
			t.Fatal(err)
		}
	}
	grid, err := SetupTestGrid(2)
	errFatal(err)
	remoteHost := grid.Hosts[1]
	local := grid.Managers[0]

	// 1: Echo

### Typannotationen und Tooling

Sehen wir uns zunächst an, wie Editor, mypy und andere Tools dies sehen würden.

`BaseUser` verfügt über die Basis-Felder. Dann erbt `UserIn` von `BaseUser` und fügt das Feld `Passwort` hinzu, sodass dass es nun alle Felder beider Modelle hat.

Wir annotieren den Funktionsrückgabetyp als `BaseUser`, geben aber tatsächlich eine `UserIn`-Instanz zurück.

filegroup(
    name = "checkpoint_reader_hdrs",
    srcs = [
        "checkpoint_reader.h",
        "tf_status_helper.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

tf_cuda_library(
    name = "tf_status_helper",
    srcs = ["tf_status_helper.cc"],
    hdrs = ["tf_status_helper.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tf_status_headers",