Update doc for split==100
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@ -218,7 +218,7 @@ A dictionary ID is a locally unique ID that a decoder can use to verify it is us
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.TP
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\fB\-\-train\-cover[=k#,d=#,steps=#,split=#]\fR
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Select parameters for the default dictionary builder algorithm named cover\. If \fId\fR is not specified, then it tries \fId\fR = 6 and \fId\fR = 8\. If \fIk\fR is not specified, then it tries \fIsteps\fR values in the range [50, 2000]\. If \fIsteps\fR is not specified, then the default value of 40 is used\. If \fIsplit\fR is not specified, then the default value of 80 is used\. Requires that \fId\fR <= \fIk\fR\.
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Select parameters for the default dictionary builder algorithm named cover\. If \fId\fR is not specified, then it tries \fId\fR = 6 and \fId\fR = 8\. If \fIk\fR is not specified, then it tries \fIsteps\fR values in the range [50, 2000]\. If \fIsteps\fR is not specified, then the default value of 40 is used\. If \fIsplit\fR is not specified or \fIsplit\fR <= 0 or \fIsplit\fR > 100, then the default value of 80 is used\. Requires that \fId\fR <= \fIk\fR\.
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.IP
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Selects segments of size \fIk\fR with highest score to put in the dictionary\. The score of a segment is computed by the sum of the frequencies of all the subsegments of size \fId\fR\. Generally \fId\fR should be in the range [6, 8], occasionally up to 16, but the algorithm will run faster with d <= \fI8\fR\. Good values for \fIk\fR vary widely based on the input data, but a safe range is [2 * \fId\fR, 2000]\. Supports multithreading if \fBzstd\fR is compiled with threading support\.
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@ -228,7 +228,7 @@ Compression of small files similar to the sample set will be greatly improved.
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If _d_ is not specified, then it tries _d_ = 6 and _d_ = 8.
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If _k_ is not specified, then it tries _steps_ values in the range [50, 2000].
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If _steps_ is not specified, then the default value of 40 is used.
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If _split_ is not specified, then the default value of 80 is used.
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If _split_ is not specified or split <= 0 or split > 100, then the default value of 80 is used.
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Requires that _d_ <= _k_.
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Selects segments of size _k_ with highest score to put in the dictionary.
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