researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)

- Kubectl/drain: add disable-eviction option.Force drain to use delete, even if eviction is supported. This will bypass checking PodDisruptionBudgets, and should be used with caution. ([#85571](https://github.com/kubernetes/kubernetes/pull/85571), [@michaelgugino](https://github.com/michaelgugino)) [SIG CLI]

* **更简单**：
    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:
    * 因为 pydantic 数据结构仅仅是你定义的类的实例；自动补全，linting，mypy 以及你的直觉应该可以和你验证的数据一起正常工作。
* 验证**复杂结构**:
    * 使用分层的 Pydantic 模型, Python `typing`的 `List` 和 `Dict` 等等。
    * 验证器使我们能够简单清楚的将复杂的数据模式定义、检查并记录为 JSON Schema。

    ],
)

tf_cuda_library(
    name = "c_api_test_util",
    testonly = 1,
    srcs = ["c_api_test_util.cc"],
    hdrs = ["c_api_test_util.h"],
    visibility = [
        "//learning/brain:__subpackages__",
        "//tensorflow:__subpackages__",
    ],
    deps = [
        ":c_api",
        ":c_api_experimental",
        ":c_api_internal",
        "//tensorflow/c:c_test_util",

				quitFlag = true
			}
		}
	}
	close(writer.doneCh)

	recordStagingTicker.Stop()
	keepAliveTicker.Stop()
	if progressTicker != nil {
		progressTicker.Stop()
	}

	// Whatever drain the payloadCh to prevent from memory leaking.
	for len(writer.payloadCh) > 0 {
		payload := <-writer.payloadCh
		bufPool.Put(payload)
	}
}

// Sends a single whole record.

			err := m.send(msg)
			PutByteBuffer(req)
			if err != nil {
				m.addErrorNonBlockingClose(errResp, err)
				errState = true
				continue
			}
			msg.Seq++
		}
	}

	if errState {
		// Drain requests.
		for {
			select {
			case r, ok := <-requests:
				if !ok {
					return
				}
				PutByteBuffer(r)
			default:
				return
			}
		}
	}

	for !errState {

* Make etcd cache size configurable ([#23914](https://github.com/kubernetes/kubernetes/pull/23914), [@jsravn](https://github.com/jsravn))
* Drain pods created from ReplicaSets in 'kubectl drain' ([#23689](https://github.com/kubernetes/kubernetes/pull/23689), [@maclof](https://github.com/maclof))

	// for this instance of unlocker, we should let the
	// caller know that lock is not successfully released
	// yet.
	if len(locks)-tolerance == tolerance {
		// In case of split brain scenarios where
		// tolerance is exactly half of the len(*locks)
		// then we need to make sure we have unlocked
		// upto tolerance+1 - especially for RUnlock
		// to ensure that we don't end up with active

		}
		h.mutex.Unlock()
	case <-h.ctx.Done():
		h.mutex.Lock()
		h.endTime = UTCNow()
		h.currentStatus.Summary = healFinishedStatus
		h.mutex.Unlock()

		// drain traverse channel so the traversal
		// go-routine does not leak.
		go func() {
			// Eventually the traversal go-routine closes
			// the channel and returns, so this go-routine
			// itself will not leak.

     * crossed or a write occurs on the segment.
     */
    final Queue<ReferenceEntry<K, V>> recencyQueue;

    /**
     * A counter of the number of reads since the last write, used to drain queues on a small
     * fraction of read operations.
     */
    final AtomicInteger readCount = new AtomicInteger();

    /**