Some NumPy random number generation functions take a dtype parameter whereas
others don't. Some of them take an out parameter whereas others don't. Just
glancing at it, there seems to be no rhyme or reason why this would be the case
but is there some hidden consistency underneath the hood to explain why some
have these params and others don't? Is there any reason that things like
random.randn and numpy.random.Generator.normal don't take a dtype and out
parameters? If I need to create a huge array of random numbers whose dtype is
float16 or float32 then what is the BKM to do this when the routine I would
like to use generates an array of float64 and with the 64-bit data type the
array won't fit in memory?
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