compute-constrained-bayes/src/jit_bayes.nim

58 lines
1.5 KiB
Nim

import print
import strutils
import sequtils
import std/sugar
## Get sequences
let file_path = "../data/stripped"
proc getOEIS(): seq[seq[string]] =
let f = open(file_path)
var i = 0
var line : string
var seqs: seq[seq[string]]
while f.read_line(line):
if i > 3:
let seq = split(line, ",")
let l = seq.len
let nums = seq[1..(l-2)]
seqs.add(nums)
i = i + 1
f.close()
return seqs
var seqs = getOEIS()
## Sequence helpers
proc startsWithSubsequence(xs: seq[string], ys: seq[string]): bool =
if xs.len == 0:
return true
elif ys.len == 0:
return false
elif xs[0] == ys[0]:
return startsWithSubsequence(xs[1..<xs.len], ys[1..<ys.len])
else:
return false
proc getSequencesWithStart(seqs: seq[seq[string]], start: seq[string]): seq[seq[string]] =
var continuations: seq[seq[string]]
for seq in seqs:
if startsWithSubsequence(start, seq):
continuations.add(seq)
return continuations
## Pretty print sequences
# var start = @["1", "2", "3", "4", "5"]
# var continuations = getSequencesWithStart(seqs, start)
# print continuations
## Do simple predictions
proc predictContinuation(seqs: seq[seq[string]], start: seq[string]): seq[string] =
let continuations = getSequencesWithStart(seqs, start)
let l = start.len
let next_items = continuations.map(c => c[l])
return next_items
var start = @["1", "2", "3", "4", "5"]
let sample_continuations = predictContinuation(seqs, start)
print(sample_continuations)