// doesn't wait to read the client's DATA frame and may send a DATA frame before the client
    // does. So we can't assume the client's empty DATA will be logged first.
    assertThat(countFrames(logs, "FINE: >> 0x00000003     0 DATA          END_STREAM"))
      .isEqualTo(1)
    assertThat(countFrames(logs, "FINE: >> 0x00000003     3 DATA          END_STREAM"))
      .isEqualTo(1)
  }

    `Cache.urls()` would prevent in-flight entries from being written.


## Version 3.14.3

_2019-09-10_

 *  Fix: Don't lose HTTP/2 flow control bytes when incoming data races with a stream close. If this
    happened enough then eventually the connection would stall.

 *  Fix: Acknowledge and apply inbound HTTP/2 settings atomically. Previously we had a race where we

  // code but does not override it.
  // +optional
  optional string reason = 4;

  // Extended data associated with the reason.  Each reason may define its
  // own extended details. This field is optional and the data returned
  // is not guaranteed to conform to any schema except that defined by
  // the reason type.
  // +optional
  optional StatusDetails details = 5;

                    )
                }
            }
        }
        return null
    }

    private data class CompoundArrayAccessPartiallyAppliedSymbols(
        val operationPartiallyAppliedSymbol: KtPartiallyAppliedFunctionSymbol<KtFunctionSymbol>,

the bucket and object name of an object that exists in MinIO. The value is JSON encoded event data about the operation that created/replaced the object in MinIO. When objects are updated or deleted, the corresponding row from this table is updated or deleted respectively.

When the _access_ format is used, MinIO appends events to a table. It creates rows with two columns: event_time and event_data. The event_time is the time at which the event occurred in the MinIO server. The event_data...

        "//tensorflow/core/config:flag_defs",
        "//tensorflow/core/config:flags",
        "//tensorflow/core/data/service:dispatcher_client",
        "//tensorflow/core/data/service:grpc_util",
        "//tensorflow/core/data/service:py_utils",
        "//tensorflow/core/data/service:server_lib",
        "//tensorflow/core/debug",
        "//tensorflow/core/distributed_runtime:server_lib",

   * This inserts a bunch of synthetic 250 ms delays into both client and server and confirms that
   * the same delays make it back into the events.
   *
   * We've had bugs where we report an event when we request data rather than when the data actually
   * arrives. https://github.com/square/okhttp/issues/5578
   */
  private fun timeToFirstByte() {
    val applicationInterceptorDelay = 250L
    val networkInterceptorDelay = 250L

    a.setString(1, "a2")
    a.commit()
    assertAbsent("a")
  }

  /**
   * Each read sees a snapshot of the file at the time read was called. This means that two reads of
   * the same key can see different data.
   */
  @ParameterizedTest
  @ArgumentsSource(FileSystemParamProvider::class)
  fun readAndWriteOverlapsMaintainConsistency(parameters: Pair<FileSystem, Boolean>) {
    setUp(parameters.first, parameters.second)

            }
        }

        return null
    }
}

private fun FqName.dropFakeRootPrefixIfPresent(): FqName =
    tail(FqName(ROOT_PREFIX_FOR_IDE_RESOLUTION_MODE))

private data class AdditionalImports(val simpleImports: Set<FqName>, val starImports: Set<FqName>)

private inline fun <reified T : KtElement> KtFile.findSmallestElementOfTypeContainingSelection(selection: TextRange): T? =

build:windows --host_copt=/d2ReducedOptimizeHugeFunctions

# Enable the runfiles symlink tree on Windows. This makes it possible to build
# the pip package on Windows without an intermediate data-file archive, as the
# build_pip_package script in its current form (as of Aug 2023) uses the
# runfiles symlink tree to decide what to put into the Python wheel.
startup --windows_enable_symlinks