"}.sr-only{border:0;clip:rect(0,0,0,0);height:1px;margin:-1px;overflow:hidden;padding:0;position:absolute;width:1px}.sr-only-focusable:active,.sr-only-focusable:focus{clip:auto;height:auto;margin:0;overflow:visible;position:static;width:auto}@font-face{font-family:"Font Awesome 5 Brands";font-style:normal;font-weight:normal;font-display:auto;src:url(./fonts/fa-brands-400.eot);src:url(./fonts/fa-brands-400.eot?#iefix) format("embedded-opentype"),url(./fonts/fa-brands-400.woff2) format("woff2"),ur...

"}.sr-only{border:0;clip:rect(0,0,0,0);height:1px;margin:-1px;overflow:hidden;padding:0;position:absolute;width:1px}.sr-only-focusable:active,.sr-only-focusable:focus{clip:auto;height:auto;margin:0;overflow:visible;position:static;width:auto}@font-face{font-family:"Font Awesome 5 Brands";font-style:normal;font-weight:normal;font-display:auto;src:url(./fonts/fa-brands-400.eot);src:url(./fonts/fa-brands-400.eot?#iefix) format("embedded-opentype"),url(./fonts/fa-brands-400.woff2) format("woff2"),ur...

            split(values[1], "\t").of(subStream -> subStream.map(String::trim).filter(StringUtil::isNotEmpty).forEach(v -> {
                final String[] facet = StringUtils.split(v, "=", 2);
                if (facet.length == 2) {
                    facetQueryView.addQuery(facet[0], facet[1]);
                }
            }));
            facetQueryView.init();
            facetQueryViewList.add(facetQueryView);

query.fuzzy.transpositions=true

# facet

# Fields for facet queries.
query.facet.fields=label
# Size of facet fields.
query.facet.fields.size=100
# Minimum document count for facet fields.
query.facet.fields.min_doc_count=1
# Sort order for facet fields.
query.facet.fields.sort=count.desc
# Value for missing facet fields.
query.facet.fields.missing=
# Facet queries definition.
query.facet.queries=\

	{abcd, "", -1, []string{"a", "b", "c", "d"}},
	{commas, ",", -1, []string{"1", "2", "3", "4"}},
	{dots, "...", -1, []string{"1", ".2", ".3", ".4"}},
	{faces, "☹", -1, []string{"☺☻", ""}},
	{faces, "~", -1, []string{faces}},
	{faces, "", -1, []string{"☺", "☻", "☹"}},
	{"1 2 3 4", " ", 3, []string{"1", "2", "3 4"}},
	{"1 2", " ", 3, []string{"1", "2"}},
	{"123", "", 2, []string{"1", "23"}},

  opts = TF_NewImportGraphDefOptions();
  TF_ImportGraphDefOptionsSetPrefix(opts, "imported");
  TF_ImportGraphDefOptionsAddInputMapping(opts, "scalar", 0, {scalar, 0});
  TF_ImportGraphDefOptionsAddInputMapping(opts, "fake", 0, {scalar, 0});

  tensorflow::GraphDef graph_def_proto;
  ASSERT_TRUE(tensorflow::ParseProtoUnlimited(&graph_def_proto, graph_def->data,
                                              graph_def->length));

				t.Fatalf("wrong panic: %v", err)
			}
		default:
			t.Fatalf("unexpected panic value: %T(%v)", err, err)
		}
	}()
	b.Read(make([]byte, 100))
}

var errFake = errors.New("fake error")

type errorThenGoodReader struct {
	didErr bool
	nread  int
}

func (r *errorThenGoodReader) Read(p []byte) (int, error) {
	r.nread++
	if !r.didErr {
		r.didErr = true

    peer.acceptFrame() // ACK
    peer.sendFrame().ping(false, 2, 0)
    peer.acceptFrame()
    peer.play()

    // Play it back.
    val connection = connect(peer)

    // fake a settings frame with clear flag set.
    val settings2 = Settings()
    settings2[Settings.MAX_CONCURRENT_STREAMS] = 60000
    connection.readerRunnable.applyAndAckSettings(true, settings2)
    connection.withLock {