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In golang I have taken an array ARR1 which represents a time series ( could be audio or in my case an image ) where each element of this time domain array is a floating point value which represents the height of the raw audio curve as it wobbles ... I then fed this floating point array into a FFT call which returned a new array ARR2 by definition in the frequency domain where each element of this array is a single complex number where both the real and the imaginary parts are floating points ... when I then fed this array into an inverse FFT call ( IFFT ) it gave back a floating point array ARR3 in the time domain ... to a first approximation ARR3 matched ARR1 ... needless to say if I then took ARR3 and fed it into a FFT call its output ARR4 would match ARR2 ... essentially you have this time_domain_array --> FFT call -> frequency_domain_array --> InverseFFT call -> time_domain_array ... rinse N repeat

I know Web Audio API has a FFT call ... do not know whether it has an IFFT api call however if no IFFT ( inverse FFT ) you can write your own such function here is how ... iterate across ARR2 and for each element calculate the magnitude of this frequency ( each element of ARR2 represents one frequency and in the literature you will see ARR2 referred to as the frequency bins which simply means each element of the array holds one complex number and as you iterate across the array each successive element represents a distinct frequency starting from element 0 to store frequency 0 and each subsequent array element will represent a frequency defined by adding incr_freq to the frequency of the prior array element )

Each index of ARR2 represents a frequency where element 0 is the DC bias which is the zero offset bias of your input ARR1 curve if its centered about the zero crossing point this value is zero normally element 0 can be ignored ... the difference in frequency between each element of ARR2 is a constant frequency increment which can be calculated using

Your actual ls command piped to xargs is seen as a single argument where file names are separated by null bytes (shortly said... see for example this article for a better in-depth analyze). If your version of xargs supports it, you can use the -0 option to take this into account:

• DockerServer simply creates dockershim grpc server

Using a tree might be easier than a chain:

It is overplotted for each row in your data. Set check_overlap = TRUE inside geom_text(), or use annotate instead. Or create a separate data frame for this layer with one row per label.

Look at that

How about something like this:

You're missing a quote in case 1. It should be case '1'. In ASCII, Digit character '1' is 49 in decimal

--- UPDATE ----

Root cause is you have defined the data type of choice local variable is integer. Consequently, when assign input value to this variable. An implicit cast is executed. It means it will convert ASCII character to decimal.

Resolution

Approach 1: Convert input from command line to Integer

With this approach, you must use integer value in switch..case

It turned out the \r, \n and \t are two-letter combinations in your texts.

Since Julia uses PCRE you can use a SKIP-FAIL regex here to easily ingore these combinations from matches: