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Fix typos
Correct various typos in the comments and tests. Reviewed-by: Ryan Moeller <ryan@iXsystems.com> Reviewed-by: Matthew Ahrens <mahrens@delphix.com> Reviewed-by: Brian Behlendorf <behlendorf1@llnl.gov> Signed-off-by: Andrea Gelmini <andrea.gelmini@gelma.net> Closes #10423
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@@ -982,7 +982,7 @@ vdev_raidz_reconstruct_pq(raidz_map_t *rm, int *tgts, int ntgts)
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/* BEGIN CSTYLED */
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/*
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* In the general case of reconstruction, we must solve the system of linear
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* equations defined by the coeffecients used to generate parity as well as
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* equations defined by the coefficients used to generate parity as well as
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* the contents of the data and parity disks. This can be expressed with
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* vectors for the original data (D) and the actual data (d) and parity (p)
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* and a matrix composed of the identity matrix (I) and a dispersal matrix (V):
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@@ -996,7 +996,7 @@ vdev_raidz_reconstruct_pq(raidz_map_t *rm, int *tgts, int ntgts)
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* ~~ ~~ ~~ ~~
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*
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* I is simply a square identity matrix of size n, and V is a vandermonde
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* matrix defined by the coeffecients we chose for the various parity columns
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* matrix defined by the coefficients we chose for the various parity columns
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* (1, 2, 4). Note that these values were chosen both for simplicity, speedy
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* computation as well as linear separability.
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*
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