From b317e0efd2398d75d70e027bb1e2cf442e683981 Mon Sep 17 00:00:00 2001 From: Chris Dyer Date: Fri, 27 Jul 2012 17:31:00 -0400 Subject: remove old suffix array extractor (use the one in python/ instead) --- sa-extract/lcp.pyx | 113 ----------------------------------------------------- 1 file changed, 113 deletions(-) delete mode 100644 sa-extract/lcp.pyx (limited to 'sa-extract/lcp.pyx') diff --git a/sa-extract/lcp.pyx b/sa-extract/lcp.pyx deleted file mode 100644 index a992d3ee..00000000 --- a/sa-extract/lcp.pyx +++ /dev/null @@ -1,113 +0,0 @@ -#!/usr/bin/env python2.4 - -'''Compute LCP array for a suffix array using the Kasai et al. algorithm''' -'''Can also be used to compute statistics such -as k most frequent n-grams''' - -import sys - -cimport cintlist -cimport csuf -cimport cdat -cimport cveb - -cdef class LCP: - - cdef csuf.SuffixArray sa - cdef cintlist.CIntList lcp - - def __init__(self, sa): - self._construct(sa) - - cdef _construct(self, csuf.SuffixArray sa): - cdef int i, k, j, h, n - cdef cintlist.CIntList rank - - sys.stderr.write("Constructing LCP array\n") - self.sa = sa - n = self.sa.sa.len - self.lcp = cintlist.CIntList(initial_len=n) - - rank = cintlist.CIntList(initial_len=n) - for i from 0 <= i < n: - rank.arr[sa.sa.arr[i]] = i - - h = 0 - for i from 0 <= i < n: - k = rank.arr[i] - if k == 0: - self.lcp.arr[k] = -1 - else: - j = sa.sa.arr[k-1] - while i+h < n and j+h < n and sa.darray.data.arr[i+h] == sa.darray.data.arr[j+h]: - h = h+1 - self.lcp.arr[k] = h - if h > 0: - h = h-1 - sys.stderr.write("LCP array completed\n") - - - def compute_stats(self, max_n): - self._compute_stats(max_n) - - cdef _compute_stats(self, int max_n): - '''Note: the output of this function is not exact. In - particular, the frequency associated with each word is - not guaranteed to be correct. This is due to a bit of - laxness in the design; the function is intended only to - obtain a list of the most frequent words; for this - purpose it is perfectly fine''' - cdef int i, ii, iii, j, k, h, n, N, rs, freq, valid - cdef cintlist.CIntList run_start - cdef cintlist.CIntList ngram_start - cdef cveb.VEB veb - - N = self.sa.sa.len - - ngram_starts = [] - for n from 0 <= n < max_n: - ngram_starts.append(cintlist.CIntList(initial_len=N)) - - run_start = cintlist.CIntList(initial_len=max_n) - veb = cveb.VEB(N) - - for i from 0 <= i < N: - h = self.lcp.arr[i] - if h < 0: - h = 0 - for n from h <= n < max_n: - rs = run_start.arr[n] - run_start.arr[n] = i - freq = i - rs - if freq > 1000: # arbitrary, but see note below - veb._insert(freq) - ngram_start = ngram_starts[n] - while ngram_start.arr[freq] > 0: - freq = freq + 1 # cheating a bit, should be ok for sparse histogram - ngram_start.arr[freq] = rs - i = veb.veb.min_val - while i != -1: - ii = veb._findsucc(i) - for n from 0 <= n < max_n: - ngram_start = ngram_starts[n] - iii = i - rs = ngram_start.arr[iii] - while (ii==-1 or iii < ii) and rs != 0: - j = self.sa.sa.arr[rs] - valid = 1 - for k from 0 <= k < n+1: - if self.sa.darray.data.arr[j+k] < 2: - valid = 0 - if valid: - ngram = "" - for k from 0 <= k < n+1: - ngram= ngram+ self.sa.darray.id2word[self.sa.darray.data.arr[j+k]] + " " - print i, n+1, ngram - iii = iii + 1 - rs = ngram_start.arr[iii] - i = ii - - - - - -- cgit v1.2.3