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profmem() gained argument on_error to
control what should happen when there is a run-time error during
profiling. Known actions are "error",
"warning", and "ignore" (default).
print() for Rprofmem objects now report on any
run-time errors that occurred while profiling the R expression.
print() for Rprofmem objects gained logical argument
`calls’ to control whether calls (“traces”) are outputted.
expr and newpage
of print() for Rprofmem can now be set via options
profmem.print.expr and
profmem.print.newpage.Added documentation on what an ‘Rprofmem’ data.frame contains.
Added example for readRprofmem().
The bytes column returned by
readRprofmem() would be of type integer when zero
allocation events where read, whereas otherwise it would be of type
numeric.
print(x) for Rprofmem now uses an explicit
stringsAsFactors = FALSE when internally coercing
x to a data frame.
profmem() calls are now supported, such that
inner profmem() calls will not affect outer ones. This
allows, for instance, a package to use profmem internally without having
to worry about profmem already being active when its functions are
called.Added profmem_begin() and profmem_end()
as an alternative to profmem().
Added profmem_suspend() and
profmem_resume() for suspending and resuming an active
profmem session.
Added profmem_status() for checking whether profmem
is inactive, active, or suspended.
Added profmem_depth() to get the current depth of
nested profmem sessions.
print() for Rprofmem now reports on the threshold
used, if known.
print() for Rprofmem gained arguments
expr = TRUE and newpage = FALSE,
controlling whether the profiled R expression and ‘new page’ entries
should be displayed or not.
Added option profmem.threshold for controlling the
default threshold level for profmem() and
profmem_begin().
Vignette: Updated the example in Section ‘An example where memory profiling can make a difference’ due to improvements in R (>= 3.4.0), which made the previous example no longer valid.
help("profmem") how provide much more details
previously only available in the vignette.
readRprofmem() failed to “workaround” another buggy
Rprofmem() output.profmem() now returns a data.frame of class
Rprofmem.
profmem() gained argument threshold.
readRprofmem().Added total() to get the total number of bytes
allocated.
profmem() returns also when evaluating the
expression gives an error.
Added profmem().
Package created.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.