RosettaCodeData/Task/Modified-random-distribution/00-TASK.txt

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Given a random number generator, (rng), generating numbers in the range 0.0 .. 1.0 called rgen, for example; and a function modifier(x)
taking an number in the same range and generating the probability that the input should be generated, in the same range 0..1; then implement the following algorithm for generating random numbers to the probability given by function modifier:
<pre>while True:
random1 = rgen()
random2 = rgen()
if random2 < modifier(random1):
answer = random1
break
endif
endwhile</pre>
;Task:
* Create a modifier function that generates a 'V' shaped probability of number generation using something like, for example:
modifier(x) = 2*(0.5 - x) if x < 0.5 else 2*(x - 0.5)
* Create a generator of random numbers with probabilities modified by the above function.
* Generate >= 10,000 random numbers subject to the probability modification.
* Output a textual histogram with from 11 to 21 bins showing the distribution of the random numbers generated.
Show your output here, on this page.
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