Merge branch 'feature/vfd_swmr' into multi

1 files changed, 27 insertions, 25 deletions

diff --git a/test/vfd_swmr_bigset_writer.c b/test/vfd_swmr_bigset_writer.c
index 7105e21..001edd7 100644
--- a/test/vfd_swmr_bigset_writer.c
+++ b/test/vfd_swmr_bigset_writer.c
@@ -12,44 +12,46 @@
  */
 
 /* This program performs "bigset" tests for VFD SWMR.  In VFD SWMR mode,
- * he bigset tests exercise
+ * the bigset tests exercise
  *
- * 1 the two major indices for extensible, chunked datasets: the extensible
- *   array and the version-2 B-tree, with VFD SWMR active.
+ * 1 the two major indices for extensible, chunked datasets: the
+ *   extensible array and the version-2 B-tree, with VFD SWMR active.
  *
- * 2 reading and writing virtual datasets with source datasets residing in
- *   the same HDF5 file
+ * 2 reading and writing virtual datasets with source datasets residing
+ *   in the same HDF5 file
  *
  * 3 virtual datasets with source datasets spread over a small number of
  *   HDF5 files
  *
- * The program selects between two personalities, reader or writer, using
- * the name it is invoked with (the last component of argv[0]).  Reader and
- * writer should run simultaneously.
+ * The program selects between two personalities, reader or writer,
+ * using the name it is invoked with (the last component of argv[0]).
+ * Reader and writer should run simultaneously.
  *
- * The bigset tests use datasets extensible in one
- * dimension to exercise the extensible array, and tests extensible in two dimensions to exercise the v2 B-tree.
+ * The bigset tests use datasets extensible in one dimension to exercise
+ * the extensible array, and tests extensible in two dimensions to
+ * exercise the v2 B-tree.
  *
- * The writer opens an HDF5 file and creates `n` chunked datasets extensible in `1 <= d <= 2`
- * dimensions and runs for `i` iterations.  The chunk size, `w` x `h`, is
- * user-selectable, as are `d`, `i`, and `n`.  In each iteration, the writer extends
- * each dataset by the width (or the width and height) of a chunk, and
- * writes a test pattern to the dataset on chunk boundaries.
+ * The writer opens an HDF5 file and creates `n` chunked datasets
+ * extensible in `1 <= d <= 2` dimensions and runs for `i` iterations.
+ * The chunk size, `w` x `h`, is user-selectable, as are `d`, `i`, and
+ * `n`.  In each iteration, the writer extends each dataset by the width
+ * (or the width and height) of a chunk, and writes a test pattern to
+ * the dataset on chunk boundaries.
  *
  * The reader should be started with the same user-selectable parameters
- * as the writer: iterations, number of datasets, chunk width and height,
- * dimensions.
+ * as the writer: iterations, number of datasets, chunk width and
+ * height, dimensions.
  *
  * The reader opens the same HDF5 file, reads and re-reads it until all
  * `n` datasets appear, and then reads and re-reads the datasets until
- * all iteration 0 data is available and contains the expected test pattern.
- * The reader repeats for the iteration 1 data, iteration 2, and so on,
- * until `i` iterations are complete.
+ * all iteration 0 data is available and contains the expected test
+ * pattern.  The reader repeats for the iteration 1 data, iteration 2,
+ * and so on, until `i` iterations are complete.
  *
  * The reader reads datasets in chunk-sized units.  To challenge the
  * chunk index a bit, the reader reads on a chunk boundary on even
- * iterations and reads with a small offset from a chunk boundary on
- * odd iterations.
+ * iterations and reads with a small offset from a chunk boundary on odd
+ * iterations.
  *
  * The writer adds an attribute to every `a`th dataset, where `a` is
  * a user-selectable parameter.  The reader reads and verifies an
@@ -57,9 +59,9 @@
  *
  * To help ensure that the reader and the writer are simultaneously
  * reading and writing the HDF5 file, both reader and writer pause
- * between each dataset written/verified (if there are at least as many
- * iterations as datasets) or between each iteration (if there are
- * fewer iterations than datasets).  The duration of the pause is
+ * between each dataset written/verified (if there are at least as
+ * many iterations as datasets) or between each iteration (if there
+ * are fewer iterations than datasets).  The duration of the pause is
  * user-selectable.
  */