assertSame(valueOne, listener.getLastEvictedValue());
    assertTrue(map.removalNotificationQueue.isEmpty());
    assertFalse(segment.accessQueue.contains(entryOne));
    assertFalse(segment.writeQueue.contains(entryOne));
    assertEquals(0, segment.count);
    assertNull(table.get(0));
  }

  public void testRemoveEntryFromChain() {

    assertSame(valueOne, listener.getLastEvictedValue());
    assertTrue(map.removalNotificationQueue.isEmpty());
    assertFalse(segment.accessQueue.contains(entryOne));
    assertFalse(segment.writeQueue.contains(entryOne));
    assertEquals(0, segment.count);
    assertNull(table.get(0));
  }

  public void testRemoveEntryFromChain() {

        } catch (final FileUploadByteCountLimitException e) { // special handling
            handleSizeLimitExceededException(request, e);
        } catch (final FileUploadException e) { // contains fileCount exceeded
            handleFileUploadException(e);
        }
    }

    protected void prepareElementsHash() { // traditional name

                setVersioning( v );
                changed = true;
            }

            for ( String version : versioning.getVersions() )
            {
                if ( !v.getVersions().contains( version ) )
                {
                    changed = true;
                    v.getVersions().add( version );
                }
            }

                if (readings != null && readings.length > i && readings[i].length > 0) {
                    for (final String reading : readings[i]) {
                        if (!l.contains(reading)) {
                            l.add(reading);
                        }
                    }
                }

                wordsList.add(word);

    `tensorflow-gpu` will still be available, and CPU-only packages can be
    downloaded at `tensorflow-cpu` for users who are concerned about package
    size.
*   TensorFlow 1.15 contains a complete implementation of the 2.0 API in its
    `compat.v2` module. It contains a copy of the 1.15 main module (without
    `contrib`) in the `compat.v1` module. TensorFlow 1.15 is able to emulate 2.0

- Write and Read quorum are required to be satisfied only across the erasure set for an object. Healing is also done per object within the erasure set which contains the object.

        length = 0,
        type = TYPE_SETTINGS,
        flags = FLAG_ACK,
      )
      sink.flush()
    }
  }

  /**
   * HTTP/2 only. Send a push promise header block.
   *
   * A push promise contains all the headers that pertain to a server-initiated request, and a
   * `promisedStreamId` to which response frames will be delivered. Push promise frames are sent as

		if err != nil {
			t.Errorf("for length %d: got error = %v; want nil", l, err)
		}
		if b.String() != s {
			t.Errorf("got string %q; want %q", b.String(), s)
		}
		if r.Len() != 0 {
			t.Errorf("reader contains %v bytes; want 0", r.Len())
		}
	}
}

func TestReaderLen(t *testing.T) {
	const data = "hello world"
	r := NewReader([]byte(data))
	if got, want := r.Len(), 11; got != want {

        configuration.groups
            .filter { group ->
                performanceTestTypes.any { type ->
                    group.performanceTestTypes[type]?.contains(performanceTestSpec.os) == true
                }
            }
            .map { PerformanceScenario(Scenario.fromTestId(configuration.testId), it.testProject) }
    }
}