Noise generators written in Common Lisp
License: The Unlicense
my system configuration files
bashSome configuration options depend on git submodules. Either use --recursive when cloning
or run git submodule init && git submodule update in the root of the repository after cloning.
$ stow package1 package2 ...This work is dual-licensed under the following licenses:
SBCL Output:
Unhandled FLOATING-POINT-OVERFLOW in thread #<SB-THREAD:THREAD "main thread" RUNNING
{10019B4103}>:
arithmetic error FLOATING-POINT-OVERFLOW signalled
Operation was (FLOAT 340282366920938463463374607431768211456 SINGLE-FLOAT).
Backtrace for: #<SB-THREAD:THREAD "main thread" RUNNING {10019B4103}>
0: (SB-DEBUG::DEBUGGER-DISABLED-HOOK #<FLOATING-POINT-OVERFLOW {1001B171C3}> #<unused argument> :QUIT T)
1: (SB-DEBUG::RUN-HOOK *INVOKE-DEBUGGER-HOOK* #<FLOATING-POINT-OVERFLOW {1001B171C3}>)
2: (INVOKE-DEBUGGER #<FLOATING-POINT-OVERFLOW {1001B171C3}>)
3: (UIOP/IMAGE:HANDLE-FATAL-CONDITION #<FLOATING-POINT-OVERFLOW {1001B171C3}>)
4: (SB-KERNEL::%SIGNAL #<FLOATING-POINT-OVERFLOW {1001B171C3}>)
5: (ERROR FLOATING-POINT-OVERFLOW :OPERATION FLOAT :OPERANDS (340282366920938463463374607431768211456 SINGLE-FLOAT))
6: ((LABELS SB-BIGNUM::CHECK-EXPONENT :IN SB-BIGNUM:BIGNUM-TO-FLOAT) #<unavailable argument> #<unavailable argument> #<unavailable argument>)
7: ((LABELS SB-BIGNUM::FLOAT-FROM-BITS :IN SB-BIGNUM:BIGNUM-TO-FLOAT) 154742504910672534362390528 #<unavailable argument>)
8: (SB-KERNEL:TWO-ARG-* 340282366920938463463374607431768211456 0.0)
9: (NOISE.GEN:PERLIN 0.0 0.0 0 :OCTAVES 150 :PERSISTENCE 0.5 :PERM #(9 186 181 93 102 161 222 158 162 242 146 112 ...))
10: ((LAMBDA NIL :IN NOISE.GEN:PERLIN-GENERATOR))
11: (NOISE.TEXT::PERLIN-TEXT #<SYNONYM-STREAM :SYMBOL SB-SYS:*STDOUT* {1000008BA3}> :SIZE 1 :OCTAVES 150 :PERSISTENCE NIL :PERM NIL :SCALE NIL)
12: (NOISE.TEXT::RUN ("-s" "1" "--octaves" "150"))
13: ((LAMBDA NIL :IN UIOP/IMAGE:RESTORE-IMAGE))
14: (UIOP/IMAGE:CALL-WITH-FATAL-CONDITION-HANDLER #<FUNCTION (LAMBDA NIL :IN UIOP/IMAGE:RESTORE-IMAGE) {1000908C3B}>)
15: ((FLET SB-UNIX::BODY :IN SB-IMPL::START-LISP))
16: ((FLET "WITHOUT-INTERRUPTS-BODY-3" :IN SB-IMPL::START-LISP))
17: (SB-IMPL::START-LISP)
Caused here:
(loop for frequency = 1 then (* 2 frequency)
for amplitude = 1 then (* amplitude persistence)
;; maximum possible total amplitude
for max-amp = 1 then (+ amplitude max-amp)
for octave below octaves
;; TODO: overflow when # of octaves is large
for noise = (perlin-point (* frequency x)
(* frequency y)
(* frequency z)
:perm perm)
sum (* noise amplitude) into total
finally (return (/ total max-amp)))))frequency is doubled each time, so eventually (* frequency x) overflows.
I'd like not to cap octaves if possible.
On perlin noise of sufficient size, as the sampled point approaches the boundary, the noise value is smaller than the precision limit of float.
This is a sample of one-dimensional noise taken from the first line of lperlin -s 512 (wrapped onto multiple lines):
0.0 2.4450885e-5 1.8796946e-4 6.0930516e-4 0.001386404 0.0025978687 0.0043043755 0.0065500517
0.0093638105 0.012760638 0.016742852 0.0213013 0.02641654 0.03205995 0.03819481 0.044777367
0.051757813 0.05908123 0.06668853 0.07451733 0.08250276 0.090578265 0.09867635 0.1067293
0.1146698 0.122431636 0.12995018 0.13716298 0.1440103 0.15043546 0.15638536 0.16181076
0.16666667 0.17091262 0.17451292 0.17743681 0.17965865 0.18115808 0.18192005 0.18193485
0.18119812 0.1797108 0.17747904 0.17451411 0.17083208 0.1664538 0.16140449 0.15571351
0.14941406 0.14254265 0.1351388 0.12724452 0.118903875 0.11016231 0.10106614 0.09166189
0.08199564 0.07211227 0.06205472 0.051863175 0.04157424 0.031220034 0.02082727 0.010416279
0.0 -0.01044073 -0.02101524 -0.03182934 -0.042960644 -0.054461043 -0.066359095 -0.07866233
-0.09135946 -0.10442253 -0.11780899 -0.1314636 -0.14532042 -0.15930447 -0.1733336 -0.18732001
-0.20117188 -0.21479475 -0.22809303 -0.24097113 -0.25333485 -0.26509237 -0.27615538 -0.2864401
-0.29586792 -0.3043665 -0.31187025 -0.31832108 -0.32366896 -0.32787228 -0.33089828 -0.33272338
-0.33333334 -0.33272338 -0.33089828 -0.32787228 -0.32366896 -0.31832108 -0.31187022 -0.30436647
-0.29586792 -0.2864401 -0.27615538 -0.26509234 -0.25333485 -0.24097113 -0.22809303 -0.21479475
-0.20117188 -0.18732 -0.1733336 -0.15930445 -0.14532042 -0.1314636 -0.117808975 -0.10442253
-0.09135946 -0.07866236 -0.06635908 -0.054461043 -0.042960644 -0.031829357 -0.021015247 -0.010440707
0.0 0.01044073 0.02101524 0.03182934 0.042960644 0.054461043 0.066359095 0.07866233
0.09135946 0.10442253 0.11780899 0.1314636 0.14532042 0.15930447 0.1733336 0.18732001
0.20117188 0.21479475 0.22809303 0.24097113 0.25333485 0.26509237 0.27615538 0.2864401
0.29586792 0.3043665 0.31187025 0.31832108 0.32366896 0.32787228 0.33089828 0.33272338
0.33333334 0.33272338 0.33089828 0.32787228 0.32366896 0.31832108 0.31187022 0.30436647
0.29586792 0.2864401 0.27615538 0.26509234 0.25333485 0.24097113 0.22809303 0.21479475
0.20117188 0.18732 0.1733336 0.15930445 0.14532042 0.1314636 0.117808975 0.10442253
0.09135946 0.07866236 0.06635908 0.054461043 0.042960644 0.031829357 0.021015247 0.010440707
0.0 -0.010416279 -0.02082727 -0.031220034 -0.04157424 -0.051863175 -0.06205472 -0.07211227
-0.08199564 -0.0916619 -0.10106614 -0.11016231 -0.118903875 -0.12724452 -0.1351388 -0.14254265
-0.14941406 -0.15571353 -0.16140449 -0.1664538 -0.17083208 -0.1745141 -0.17747904 -0.1797108
-0.18119812 -0.18193485 -0.18192005 -0.18115808 -0.17965865 -0.17743681 -0.17451292 -0.17091262
-0.16666667 -0.16181076 -0.15638536 -0.15043546 -0.1440103 -0.13716298 -0.12995017 -0.12243161
-0.1146698 -0.10672929 -0.09867636 -0.090578236 -0.08250276 -0.07451733 -0.06668854 -0.059081238
-0.051757813 -0.044777352 -0.038194817 -0.03205995 -0.02641654 -0.021301309 -0.016742865 -0.012760639
-0.0093638105 -0.0065500736 -0.0043043694 -0.0025978882 -0.001386404 -6.0931843e-4 -1.8795331e-4 -2.4437904e-5
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 -2.4450885e-5 -1.8796946e-4 -6.0930516e-4 -0.001386404 -0.0025978687 -0.0043043755 -0.0065500517
-0.0093638105 -0.012760638 -0.016742852 -0.0213013 -0.02641654 -0.03205995 -0.03819481 -0.044777367
-0.051757813 -0.05908123 -0.06668853 -0.07451733 -0.08250276 -0.090578265 -0.09867635 -0.1067293
-0.1146698 -0.122431636 -0.12995018 -0.13716298 -0.1440103 -0.15043546 -0.15638536 -0.16181076
-0.16666667 -0.17091262 -0.17451292 -0.17743681 -0.17965865 -0.18115808 -0.18192005 -0.18193485
-0.18119812 -0.1797108 -0.17747904 -0.17451411 -0.17083208 -0.1664538 -0.16140449 -0.15571351
-0.14941406 -0.14254265 -0.1351388 -0.12724452 -0.118903875 -0.11016231 -0.10106614 -0.09166189
-0.08199564 -0.07211227 -0.06205472 -0.051863175 -0.04157424 -0.031220034 -0.02082727 -0.010416279
0.0 0.010416279 0.02082727 0.031220034 0.04157424 0.051863175 0.06205472 0.07211227
0.08199564 0.0916619 0.10106614 0.11016231 0.118903875 0.12724452 0.1351388 0.14254265
0.14941406 0.15571353 0.16140449 0.1664538 0.17083208 0.1745141 0.17747904 0.1797108
0.18119812 0.18193485 0.18192005 0.18115808 0.17965865 0.17743681 0.17451292 0.17091262
0.16666667 0.16181076 0.15638536 0.15043546 0.1440103 0.13716298 0.12995017 0.12243161
0.1146698 0.10672929 0.09867636 0.090578236 0.08250276 0.07451733 0.06668854 0.059081238
0.051757813 0.044777352 0.038194817 0.03205995 0.02641654 0.021301309 0.016742865 0.012760639
0.0093638105 0.0065500736 0.0043043694 0.0025978882 0.001386404 6.0931843e-4 1.8795331e-4 2.4437904e-5
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
It can be seen that as the noise value approaches 0.0, the surrounding values may become sufficiently small so as to round down to 0.0 as well.
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