| ndigest {nat} | R Documentation |
Calculated normalised digest value for an object
Description
The normalised digest should exclude any fields or attributes irrelevant to the core contents of the object (e.g. timestamps, absolute location of the input files on disk etc). In theory then, this value should be constant for the same data regardless of the particular machine on which the digest is being computed.
Usage
ndigest(x, ...)
## S3 method for class 'neuronlistfh'
ndigest(x, ...)
## S3 method for class 'dotprops'
ndigest(x, absoluteVectors = TRUE, ...)
## S3 method for class 'neuron'
ndigest(
x,
fieldsToExclude = c("InputFileName", "CreatedAt", "NodeName", "InputFileStat",
"InputFileMD5"),
...
)
Arguments
x |
Object for which a normalised digest will be computed. |
... |
Additional arguments passed to methods and then on to
|
absoluteVectors |
Whether to check only the absolute value of eigenvectors for equality (default TRUE, see details) |
fieldsToExclude |
Character vector naming the neuron fields to exclude |
Details
ndigest.neuronlistfh only considers the keyfilemap and
df (metadata data.frame) when computing the hash value. See
neuronlistfh for the significance of these two fields.
ndigest.dotprops ignores any mtime or file
attributes. It also converts tangent vectors to absolute values (when
absoluteVectors=TRUE) because the direction vectors are computed
using an eigenvector decomposition where the sign of the eigenvector is
essentially random and subject to small numerical instabilities. Therefore
it does not usually make sense to rely on the value of vect exactly.
ndigest.neuron ignores the following fields:
InputFileName
CreatedAt
NodeName
InputFileStat
InputFileMD5
Value
A character string containing the digest of the supplied object
computed by digest.
See Also
Examples
stopifnot(all.equal(ndigest(kcs20[[1]]), "4c045b0343938259cd9986494fc1c2b0"))