xl.meta-v1.2.zst xl.meta-v1.2.zst...

	VGATHERDPD 960(R15)(X10*2), K6, X20 // 6282fd0e92645778
	VGATHERDPD 1280(R15)(X0*2), K6, X10 // 6252fd0e92944700050000
	VGATHERDPD 360(R15)(X30*2), K6, Y20 // 6282fd269264772d
	VGATHERDPD 640(R15)(X20*2), K6, Y10 // 6252fd2692546750
	VGATHERDPD 960(R15)(X10*2), K6, Y20 // 6282fd2e92645778
	VGATHERDPD 1280(R15)(X0*2), K6, Y10 // 6252fd2e92944700050000
	VGATHERDPD 360(R15)(Y30*2), K6, Z20 // 6282fd469264772d

	VPCOMPRESSW X12, K5, X7                            // 6272fd0d63e7
	VPCOMPRESSW X20, K5, 17(SP)(BP*2)                  // 62e2fd0d63a46c11000000
	VPCOMPRESSW X16, K5, 17(SP)(BP*2)                  // 62e2fd0d63846c11000000
	VPCOMPRESSW X12, K5, 17(SP)(BP*2)                  // 6272fd0d63a46c11000000
	VPCOMPRESSW X20, K5, -7(DI)(R8*4)                  // 62a2fd0d63a487f9ffffff

		// Generating parts for different objects.
		{bucketNames[2], objectNames[0], uploadIDs[4], 1, "abcd", "e2fc714c4727ee9395f324cd2e7f331f", int64(len("abcd")), "e2fc714c4727ee9395f324cd2e7f331f"},
		{bucketNames[2], objectNames[1], uploadIDs[5], 1, "abcd", "e2fc714c4727ee9395f324cd2e7f331f", int64(len("abcd")), "e2fc714c4727ee9395f324cd2e7f331f"},

{"request":{"uri":"/2","header":null}}`,
		},

		{
			name:       "is-missing",
			query:      `select * from s3object[*] as s where s.request.header['User-Agent'] is missing`,
			wantResult: `{"request":{"uri":"/2","header":{}}}`,
			withJSON: `{"request":{"uri":"/1","header":{"User-Agent":"test"}}}
{"request":{"uri":"/2","header":{}}}`,
		},
		{
			name:       "is-missing-2",

  EXPECT_EQ(-1, num_dims);

  // Set the shape to be 2 x Unknown
  int64_t dims[] = {2, -1};
  TF_GraphSetTensorShape(graph, feed_out_0, dims, 2, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Fetch the shape and validate it is 2 by -1.
  num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  EXPECT_EQ(2, num_dims);

          },
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_received_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Received Data",
      "type": "timeseries"
    },
    {
      "datasource": {

    stats = cache.stats();
    assertEquals(2, stats.missCount());
    assertEquals(2, stats.loadSuccessCount());
    assertEquals(0, stats.loadExceptionCount());
    assertEquals(0, stats.hitCount());

    key = new Object();
    cache.refresh(key);
    checkNothingLogged();
    stats = cache.stats();
    assertEquals(2, stats.missCount());
    assertEquals(3, stats.loadSuccessCount());

    regression that was introduced in OkHttp 3.14.5.


## Version 3.14.5

_2020-01-03_

 *  Fix: Degrade HTTP/2 connections after a timeout. When an HTTP/2 stream times out it may impact
    the stream only or the entire connection. With this fix OkHttp will now send HTTP/2 pings after
    a stream timeout to determine whether the connection should remain eligible for pooling.


## Version 3.14.4

_2019-09-29_

  TF_Operation* split = Split3(feed, func_graph_, s_);
  TF_Operation* add = Add({split, 0}, {split, 2}, func_graph_, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  DefineT(1, {add}, {{split, 0}, {split, 2}}, {{add, 0}}, {});

  // Use, run, and verify
  TF_Operation* two = ScalarConst(2, host_graph_, s_, "two");
  TF_Operation* func_feed = Placeholder(host_graph_, s_);