bumped version number to v1.3.4
also added a paragraph on using compression level with training mode as this is a recurrent question (see for example #1004)
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@@ -1,5 +1,5 @@
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.
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.TH "ZSTD" "1" "December 2017" "zstd 1.3.3" "User Commands"
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.TH "ZSTD" "1" "2018-01-27" "zstd 1.3.3" "User Commands"
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.
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.SH "NAME"
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\fBzstd\fR \- zstd, zstdmt, unzstd, zstdcat \- Compress or decompress \.zst files
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@@ -136,7 +136,7 @@ force write to standard output, even if it is the console
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.
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.TP
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\fB\-\-[no\-]sparse\fR
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enable / disable sparse FS support, to make files with many zeroes smaller on disk\. Creating sparse files may save disk space and speed up decompression by reducing the amount of disk I/O\. default : enabled when output is into a file, and disabled when output is stdout\. This setting overrides default and can force sparse mode over stdout\.
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enable / disable sparse FS support, to make files with many zeroes smaller on disk\. Creating sparse files may save disk space and speed up decompression by reducing the amount of disk I/O\. default: enabled when output is into a file, and disabled when output is stdout\. This setting overrides default and can force sparse mode over stdout\.
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.
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.TP
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\fB\-\-rm\fR
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@@ -179,7 +179,7 @@ add integrity check computed from uncompressed data (default: enabled)
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All arguments after \fB\-\-\fR are treated as files
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.
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.SH "DICTIONARY BUILDER"
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\fBzstd\fR offers \fIdictionary\fR compression, useful for very small files and messages\. It\'s possible to train \fBzstd\fR with some samples, the result of which is saved into a file called a \fBdictionary\fR\. Then during compression and decompression, reference the same dictionary\. It will improve compression ratio of small files\. Typical gains range from 10% (at 64KB) to x5 better (at <1KB)\.
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\fBzstd\fR offers \fIdictionary\fR compression, which greatly improves efficiency on small files and messages\. It\'s possible to train \fBzstd\fR with a set of samples, the result of which is saved into a file called a \fBdictionary\fR\. Then during compression and decompression, reference the same dictionary, using command \fB\-D dictionaryFileName\fR\. Compression of small files similar to the sample set will be greatly improved\.
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.
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.TP
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\fB\-\-train FILEs\fR
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@@ -197,6 +197,10 @@ Dictionary saved into \fBfile\fR (default name: dictionary)\.
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Limit dictionary to specified size (default: 112640)\.
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.
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.TP
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\fB\-#\fR
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Use \fB#\fR compression level during training (optional)\. Will generate statistics more tuned for selected compression level, resulting in a \fIsmall\fR compression ratio improvement for this level\.
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.
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.TP
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\fB\-B#\fR
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Split input files in blocks of size # (default: no split)
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.
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+9
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@@ -171,12 +171,12 @@ the last one takes effect.
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DICTIONARY BUILDER
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------------------
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`zstd` offers _dictionary_ compression,
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useful for very small files and messages.
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It's possible to train `zstd` with some samples,
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which greatly improves efficiency on small files and messages.
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It's possible to train `zstd` with a set of samples,
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the result of which is saved into a file called a `dictionary`.
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Then during compression and decompression, reference the same dictionary.
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It will improve compression ratio of small files.
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Typical gains range from 10% (at 64KB) to x5 better (at <1KB).
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Then during compression and decompression, reference the same dictionary,
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using command `-D dictionaryFileName`.
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Compression of small files similar to the sample set will be greatly improved.
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* `--train FILEs`:
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Use FILEs as training set to create a dictionary.
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@@ -192,6 +192,10 @@ Typical gains range from 10% (at 64KB) to x5 better (at <1KB).
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Dictionary saved into `file` (default name: dictionary).
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* `--maxdict=#`:
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Limit dictionary to specified size (default: 112640).
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* `-#`:
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Use `#` compression level during training (optional).
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Will generate statistics more tuned for selected compression level,
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resulting in a _small_ compression ratio improvement for this level.
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* `-B#`:
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Split input files in blocks of size # (default: no split)
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* `--dictID=#`:
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