## 評價 { #opinions }

"_[...] 近期大量使用 **FastAPI**。[...] 我實際上打算在我在**微軟**團隊的所有**機器學習**服務上使用它。其中一些正在整合到核心的 **Windows** 產品，以及一些 **Office** 產品。_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26"><small>(ref)</small></a></div>

---

"_我們採用了 **FastAPI** 函式庫來啟動一個 **REST** 伺服器，供查詢以取得**預測**。[for Ludwig]_"

		return ps.Participating && ps.Info.Status == rebalStarted
	}
	return false
}

func (z *erasureServerPools) rebalanceBuckets(ctx context.Context, poolIdx int) (err error) {
	doneCh := make(chan error, 1)
	defer xioutil.SafeClose(doneCh)

	// Save rebalance.bin periodically.
	go func() {
		// Update rebalance.bin periodically once every 5-10s, chosen randomly

## 評価 { #opinions }

"_[...] 最近 **FastAPI** を使っています。 [...] 実際に私のチームの全ての **Microsoft の機械学習サービス** で使用する予定です。 そのうちのいくつかのコアな **Windows** 製品と **Office** 製品に統合されつつあります。_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26"><small>(ref)</small></a></div>

---

"_FastAPIライブラリを採用し、クエリで **予測値** を取得できる **REST** サーバを構築しました。 [for Ludwig]_"

          "legendFormat": "",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Time Since Last Scan",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

			testHeader{Header{
				Typeflag: TypeReg,
				Name:     strings.Repeat("longname/", 15) + "file.txt",
				Size:     6,
				Mode:     0644,
				Uid:      501,
				Gid:      20,
				Uname:    "shane",
				Gname:    "staff",
				ModTime:  time.Unix(1360135598, 0),
			}, nil},
			testWrite{"hello\n", 6, nil},
			testClose{nil},
		},
	}, {
		// This file was produced using GNU tar v1.26:

    return (floorEntry != null && floorEntry.getValue().encloses(range))
        ? floorEntry.getValue()
        : null;
  }

  @Override
  public Range<C> span() {
    Entry<Cut<C>, Range<C>> firstEntry = rangesByLowerBound.firstEntry();
    Entry<Cut<C>, Range<C>> lastEntry = rangesByLowerBound.lastEntry();
    if (firstEntry == null || lastEntry == null) {
      /*

              unwrapped_handle);
      tensorflow::ImmediateExecutionTensorHandle* result;
      status->status = custom_device_handle->device()->Pack(
          absl::Span<tensorflow::ImmediateExecutionTensorHandle*>(
              tensorflow::unwrap(handles), *num_handles),
          &result);
      return tensorflow::wrap(result);
    }
    tensor_handles.push_back(

	for i := range errs {
		errs[i] = errDiskOngoingReq
	}

	done := make(chan bool, er.setDriveCount)
	disks := er.getDisks()

	ropts := ReadOptions{
		ReadData:         readData,
		InclFreeVersions: opts.InclFreeVersions,
		Healing:          false,
	}

	mrfCheck := make(chan FileInfo)
	defer xioutil.SafeClose(mrfCheck)

	var rw sync.Mutex

	// Ask for all disks first;

     * Calculates the length of a null-terminated string in the buffer.
     *
     * @param src the source buffer
     * @param srcIndex the starting offset in the buffer
     * @param max the maximum number of bytes to scan
     * @return the length of the string in bytes
     */
    protected int readStringLength(final byte[] src, final int srcIndex, final int max) {
        int len = 0;

package cmd

import (
	"archive/zip"
	"bufio"
	"bytes"
	"context"
	"crypto/ecdsa"
	"crypto/hmac"
	crand "crypto/rand"
	"crypto/rsa"
	"crypto/sha1"
	"crypto/tls"
	"crypto/x509"
	"crypto/x509/pkix"
	"encoding/base64"
	"encoding/hex"
	"encoding/pem"
	"encoding/xml"
	"errors"
	"flag"
	"fmt"
	"io"
	"math/big"
	"math/rand"
	"net"