cwt() incorrectly flattened
matrix/data.table input into a single row
because is.numeric() also returns TRUE for
numeric matrices, causing the result to be returned as a plain vector
instead of a data.table.cwt() with summed_wavelet = TRUE
collapsed the result to a plain vector whenever the input had a single
row or a single scale, even when the input was a genuine
matrix/data.table, due to apply()
silently dropping dimensions.cwt() accepted scales = 0 and
variance = 0, which silently produced
Inf/NaN values instead of raising the
documented error.resampling_FWHM() silently returned 0
for new bands whose FWHM window fell outside the range of
wavelengths, indistinguishable from a real zero reading.
These bands are now returned as NA.
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