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authorChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
committerChris Dyer <cdyer@cab.ark.cs.cmu.edu>2012-10-02 00:19:43 -0400
commite26434979adc33bd949566ba7bf02dff64e80a3e (patch)
treed1c72495e3af6301bd28e7e66c42de0c7a944d1f /gi/pyp-topics
parent0870d4a1f5e14cc7daf553b180d599f09f6614a2 (diff)
cdec cleanup, remove bayesian stuff, parsing stuff
Diffstat (limited to 'gi/pyp-topics')
-rwxr-xr-xgi/pyp-topics/scripts/contexts2documents.py37
-rwxr-xr-xgi/pyp-topics/scripts/extract_contexts.py144
-rwxr-xr-xgi/pyp-topics/scripts/extract_contexts_test.py72
-rwxr-xr-xgi/pyp-topics/scripts/extract_leaves.py49
-rwxr-xr-xgi/pyp-topics/scripts/map-documents.py20
-rwxr-xr-xgi/pyp-topics/scripts/map-terms.py20
-rw-r--r--gi/pyp-topics/scripts/run.sh13
-rwxr-xr-xgi/pyp-topics/scripts/score-mkcls.py61
-rwxr-xr-xgi/pyp-topics/scripts/score-topics.py64
-rwxr-xr-xgi/pyp-topics/scripts/spans2labels.py137
-rwxr-xr-xgi/pyp-topics/scripts/tokens2classes.py27
-rwxr-xr-xgi/pyp-topics/scripts/topics.py20
-rw-r--r--gi/pyp-topics/src/Makefile.am16
-rw-r--r--gi/pyp-topics/src/Makefile.mpi26
-rw-r--r--gi/pyp-topics/src/clock_gettime_stub.c141
-rw-r--r--gi/pyp-topics/src/contexts_corpus.cc164
-rw-r--r--gi/pyp-topics/src/contexts_corpus.hh90
-rw-r--r--gi/pyp-topics/src/contexts_lexer.h22
-rw-r--r--gi/pyp-topics/src/contexts_lexer.l113
-rw-r--r--gi/pyp-topics/src/corpus.cc104
-rw-r--r--gi/pyp-topics/src/corpus.hh133
-rw-r--r--gi/pyp-topics/src/gammadist.c247
-rw-r--r--gi/pyp-topics/src/gammadist.h72
-rw-r--r--gi/pyp-topics/src/gzstream.cc165
-rw-r--r--gi/pyp-topics/src/gzstream.hh121
-rw-r--r--gi/pyp-topics/src/log_add.h30
-rw-r--r--gi/pyp-topics/src/macros.Linux18
-rw-r--r--gi/pyp-topics/src/makefile.darwin15
-rw-r--r--gi/pyp-topics/src/makefile.depend4042
-rw-r--r--gi/pyp-topics/src/mpi-corpus.hh69
-rw-r--r--gi/pyp-topics/src/mpi-pyp-topics.cc466
-rw-r--r--gi/pyp-topics/src/mpi-pyp-topics.hh106
-rw-r--r--gi/pyp-topics/src/mpi-pyp.hh447
-rw-r--r--gi/pyp-topics/src/mpi-train-contexts.cc201
-rw-r--r--gi/pyp-topics/src/mt19937ar.c194
-rw-r--r--gi/pyp-topics/src/mt19937ar.h44
-rw-r--r--gi/pyp-topics/src/pyp-topics.cc499
-rw-r--r--gi/pyp-topics/src/pyp-topics.hh98
-rw-r--r--gi/pyp-topics/src/pyp.hh566
-rw-r--r--gi/pyp-topics/src/slice-sampler.h192
-rw-r--r--gi/pyp-topics/src/timing.h37
-rw-r--r--gi/pyp-topics/src/train-contexts.cc174
-rw-r--r--gi/pyp-topics/src/train.cc135
-rw-r--r--gi/pyp-topics/src/utility.h962
-rw-r--r--gi/pyp-topics/src/workers.hh275
45 files changed, 0 insertions, 10648 deletions
diff --git a/gi/pyp-topics/scripts/contexts2documents.py b/gi/pyp-topics/scripts/contexts2documents.py
deleted file mode 100755
index 9be4ebbb..00000000
--- a/gi/pyp-topics/scripts/contexts2documents.py
+++ /dev/null
@@ -1,37 +0,0 @@
-#!/usr/bin/python
-
-import sys
-from operator import itemgetter
-
-if len(sys.argv) > 3:
- print "Usage: contexts2documents.py [contexts_index_out] [phrases_index_out]"
- exit(1)
-
-context_index = {}
-phrase_index = {}
-for line in sys.stdin:
- phrase, line_tail = line.split('\t')
-
- raw_contexts = line_tail.split('|||')
- contexts = [c.strip() for x,c in enumerate(raw_contexts) if x%2 == 0]
- counts = [int(c.split('=')[1].strip()) for x,c in enumerate(raw_contexts) if x%2 != 0]
- phrase_index.setdefault(phrase, len(phrase_index))
- print len(contexts),
- for context,count in zip(contexts,counts):
- c = context_index.setdefault(context, len(context_index))
- print "%d:%d" % (c,count),
- print
-if 1 < len(sys.argv) < 4:
- contexts_out = open(sys.argv[1],'w')
- contexts = context_index.items()
- contexts.sort(key = itemgetter(1))
- for context in contexts:
- print >>contexts_out, context[0]
- contexts_out.close()
-if len(sys.argv) == 3:
- phrases_out = open(sys.argv[2],'w')
- phrases = phrase_index.items()
- phrases.sort(key = itemgetter(1))
- for phrase in phrases:
- print >>phrases_out, phrase[0]
- phrases_out.close()
diff --git a/gi/pyp-topics/scripts/extract_contexts.py b/gi/pyp-topics/scripts/extract_contexts.py
deleted file mode 100755
index b2723f2a..00000000
--- a/gi/pyp-topics/scripts/extract_contexts.py
+++ /dev/null
@@ -1,144 +0,0 @@
-#!/usr/bin/python
-
-import sys,collections
-
-def extract_backoff(context_list, order):
- assert len(context_list) == (2*order)
- backoffs = []
- for i in range(1,order+1):
- if i == order:
- backoffs.append(([context_list[i-1]+"|"], ["|"+context_list[i]]))
- else:
- right_limit = 2*order-i
- core = context_list[i:right_limit]
- left = [context_list[i-1]+"|"*(order-i+1)]
- right = ["|"*(order-i+1)+context_list[right_limit]]
- backoffs.append((core, left, right))
-# print context_list, backoffs
- return backoffs
-
-def tuple_to_str(t):
- s=""
- for i,x in enumerate(t):
- if i > 0: s += "|"
- s += str(x)
- return s
-
-if len(sys.argv) < 3:
- print "Usage: extract-contexts.py output_filename order cutoff lowercase"
- exit(1)
-
-output_filename = sys.argv[1]
-order = int(sys.argv[2])
-cutoff = 0
-if len(sys.argv) > 3:
- cutoff = int(sys.argv[3])
-lowercase = False
-if len(sys.argv) > 4:
- lowercase = bool(sys.argv[4])
-
-contexts_dict={}
-contexts_list=[]
-contexts_freq=collections.defaultdict(int)
-contexts_backoff={}
-
-token_dict={}
-token_list=[]
-documents_dict=collections.defaultdict(dict)
-
-contexts_at_order = [i for i in range(order+1)]
-
-prefix = ["<s%d>|<s>"%i for i in range(order)]
-suffix = ["</s%d>|</s>"%i for i in range(order)]
-
-for line in sys.stdin:
- tokens = list(prefix)
- tokens.extend(line.split())
- tokens.extend(suffix)
- if lowercase:
- tokens = map(lambda x: x.lower(), tokens)
-
- for i in range(order, len(tokens)-order):
- context_list = []
- term=""
- for j in range(i-order, i+order+1):
- token,tag = tokens[j].rsplit('|',2)
- if j != i:
- context_list.append(token)
- else:
- if token not in token_dict:
- token_dict[token] = len(token_dict)
- token_list.append(token)
- term = token_dict[token]
-
- context = tuple_to_str(tuple(context_list))
-
- if context not in contexts_dict:
- context_index = len(contexts_dict)
- contexts_dict[context] = context_index
- contexts_list.append(context)
- contexts_at_order[0] += 1
-
- # handle backoff
- backoff_contexts = extract_backoff(context_list, order)
- bo_indexes=[(context_index,)]
-# bo_indexes=[(context,)]
- for i,bo in enumerate(backoff_contexts):
- factor_indexes=[]
- for factor in bo:
- bo_tuple = tuple_to_str(tuple(factor))
- if bo_tuple not in contexts_dict:
- contexts_dict[bo_tuple] = len(contexts_dict)
- contexts_list.append(bo_tuple)
- contexts_at_order[i+1] += 1
-# factor_indexes.append(bo_tuple)
- factor_indexes.append(contexts_dict[bo_tuple])
- bo_indexes.append(tuple(factor_indexes))
-
- for i in range(len(bo_indexes)-1):
- contexts_backoff[bo_indexes[i][0]] = bo_indexes[i+1]
-
- context_index = contexts_dict[context]
- contexts_freq[context_index] += 1
-
- if context_index not in documents_dict[term]:
- documents_dict[term][context_index] = 1
- else:
- documents_dict[term][context_index] += 1
-
-term_file = open(output_filename+".terms",'w')
-for t in token_list: print >>term_file, t
-term_file.close()
-
-contexts_file = open(output_filename+".contexts",'w')
-for c in contexts_list:
- print >>contexts_file, c
-contexts_file.close()
-
-data_file = open(output_filename+".data",'w')
-for t in range(len(token_list)):
- line=""
- num_active=0
- for c in documents_dict[t]:
- count = documents_dict[t][c]
- if contexts_freq[c] >= cutoff:
- line += (' ' + str(c) + ':' + str(count))
- num_active += 1
- if num_active > 0:
- print >>data_file, "%d%s" % (num_active,line)
-data_file.close()
-
-contexts_backoff_file = open(output_filename+".contexts_backoff",'w')
-print >>contexts_backoff_file, len(contexts_list), order,
-#for x in contexts_at_order:
-# print >>contexts_backoff_file, x,
-#print >>contexts_backoff_file
-for x in range(order-1):
- print >>contexts_backoff_file, 3,
-print >>contexts_backoff_file, 2
-
-for x in contexts_backoff:
- print >>contexts_backoff_file, x,
- for y in contexts_backoff[x]: print >>contexts_backoff_file, y,
- print >>contexts_backoff_file
-contexts_backoff_file.close()
diff --git a/gi/pyp-topics/scripts/extract_contexts_test.py b/gi/pyp-topics/scripts/extract_contexts_test.py
deleted file mode 100755
index 693b6e0b..00000000
--- a/gi/pyp-topics/scripts/extract_contexts_test.py
+++ /dev/null
@@ -1,72 +0,0 @@
-#!/usr/bin/python
-
-import sys,collections
-
-def tuple_to_str(t):
- s=""
- for i,x in enumerate(t):
- if i > 0: s += "|"
- s += str(x)
- return s
-
-if len(sys.argv) < 5:
- print "Usage: extract-contexts_test.py output_filename vocab contexts order lowercase"
- exit(1)
-
-output_filename = sys.argv[1]
-output = open(output_filename+".test_data",'w')
-
-unk_term="-UNK-"
-vocab_dict={}
-for i,x in enumerate(file(sys.argv[2], 'r').readlines()):
- vocab_dict[x.strip()]=i
-
-contexts_dict={}
-contexts_list=[]
-for i,x in enumerate(file(sys.argv[3], 'r').readlines()):
- contexts_dict[x.strip()]=i
- contexts_list.append(x.strip())
-
-order = int(sys.argv[4])
-
-lowercase = False
-if len(sys.argv) > 5:
- lowercase = bool(sys.argv[5])
-if lowercase: unk_term = unk_term.lower()
-
-prefix = ["<s%d>|<s>"%i for i in range(order)]
-suffix = ["</s%d>|</s>"%i for i in range(order)]
-
-assert unk_term in vocab_dict
-for line in sys.stdin:
- tokens = list(prefix)
- tokens.extend(line.split())
- tokens.extend(suffix)
- if lowercase:
- tokens = map(lambda x: x.lower(), tokens)
-
- for i in range(order, len(tokens)-order):
- context_list=[]
- term=""
- for j in range(i-order, i+order+1):
- token,tag = tokens[j].rsplit('|',2)
- if j != i:
- context_list.append(token)
- else:
- if token not in vocab_dict:
- term = vocab_dict[unk_term]
- else:
- term = vocab_dict[token]
- context = tuple_to_str(context_list)
- if context not in contexts_dict:
- contexts_dict[context] = len(contexts_dict)
- contexts_list.append(context)
- context_index = contexts_dict[context]
- print >>output, "%d:%d" % (term,context_index),
- print >>output
-output.close()
-
-contexts_file = open(output_filename+".test_contexts",'w')
-for c in contexts_list:
- print >>contexts_file, c
-contexts_file.close()
diff --git a/gi/pyp-topics/scripts/extract_leaves.py b/gi/pyp-topics/scripts/extract_leaves.py
deleted file mode 100755
index 14783b36..00000000
--- a/gi/pyp-topics/scripts/extract_leaves.py
+++ /dev/null
@@ -1,49 +0,0 @@
-#!/usr/bin/python
-
-import nltk
-import nltk.probability
-import sys
-import getopt
-
-lexicalise=False
-rm_traces=False
-cutoff=100
-length_cutoff=10000
-try:
- opts, args = getopt.getopt(sys.argv[1:], "hs:c:l", ["help", "lexicalise", "cutoff","sentence-length","remove-traces"])
-except getopt.GetoptError:
- print "Usage: extract_leaves.py [-lsc]"
- sys.exit(2)
-for opt, arg in opts:
- if opt in ("-h", "--help"):
- print "Usage: extract_leaves.py [-lsc]"
- sys.exit()
- elif opt in ("-l", "--lexicalise"):
- lexicalise = True
- elif opt in ("-c", "--cutoff"):
- cutoff = int(arg)
- elif opt in ("-s", "--sentence-length"):
- length_cutoff = int(arg)
- elif opt in ("--remove-traces"):
- rm_traces = True
-
-token_freq = nltk.probability.FreqDist()
-lines = []
-for line in sys.stdin:
- t = nltk.Tree.parse(line)
- pos = t.pos()
- if len(pos) <= length_cutoff:
- lines.append(pos)
- for token, tag in pos:
- token_freq.inc(token)
-
-for line in lines:
- for token,tag in line:
- if not (rm_traces and tag == "-NONE-"):
- if lexicalise:
- if token_freq[token] < cutoff:
- token = '-UNK-'
- print '%s|%s' % (token,tag),
- else:
- print '%s' % tag,
- print
diff --git a/gi/pyp-topics/scripts/map-documents.py b/gi/pyp-topics/scripts/map-documents.py
deleted file mode 100755
index 703de312..00000000
--- a/gi/pyp-topics/scripts/map-documents.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#!/usr/bin/python
-
-import sys
-
-if len(sys.argv) != 2:
- print "Usage: map-documents.py vocab-file"
- exit(1)
-
-vocab = file(sys.argv[1], 'r').readlines()
-term_dict = map(lambda x: x.strip(), vocab)
-
-for line in sys.stdin:
- tokens = line.split()
- for token in tokens:
- elements = token.split(':')
- if len(elements) == 1:
- print "%s" % (term_dict[int(elements[0])]),
- else:
- print "%s:%s" % (term_dict[int(elements[0])], elements[1]),
- print
diff --git a/gi/pyp-topics/scripts/map-terms.py b/gi/pyp-topics/scripts/map-terms.py
deleted file mode 100755
index eb0298d7..00000000
--- a/gi/pyp-topics/scripts/map-terms.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#!/usr/bin/python
-
-import sys
-
-if len(sys.argv) != 2:
- print "Usage: map-terms.py vocab-file"
- exit(1)
-
-vocab = file(sys.argv[1], 'r').readlines()
-term_dict = map(lambda x: x.strip().replace(' ','_'), vocab)
-
-for line in sys.stdin:
- tokens = line.split()
- for token in tokens:
- elements = token.split(':')
- if len(elements) == 1:
- print "%s" % (term_dict[int(elements[0])]),
- else:
- print "%s:%s" % (term_dict[int(elements[0])], elements[1]),
- print
diff --git a/gi/pyp-topics/scripts/run.sh b/gi/pyp-topics/scripts/run.sh
deleted file mode 100644
index 19e625b1..00000000
--- a/gi/pyp-topics/scripts/run.sh
+++ /dev/null
@@ -1,13 +0,0 @@
-#!/bin/sh
-
-
-./simple-extract-context.sh ~/workspace/clsp2010/jhuws2010/data/btec/split.zh-en.al 1 | ~/workspace/pyp-topics/scripts/contexts2documents.py > split.zh-en.data
-
-~/workspace/pyp-topics/bin/pyp-topics-train -d split.zh-en.data -t 50 -s 100 -o split.zh-en.documents.gz -w split.zh-en.topics.gz
-gunzip split.zh-en.documents.gz
-
-~/workspace/cdec/extools/extractor -i ../jhuws2010/data/btec/split.zh-en.al -S 1 -c 500000 -L 12 --base_phrase_spans | ~/workspace/pyp-topics/scripts/spans2labels.py split.zh-en.phrases split.zh-en.contexts split.zh-en.documents > corpus.zh-en.labelled_spans
-
-paste -d " " ~/workspace/clsp2010/jhuws2010/data/btec/split.zh-en.al corpus.labelled_spans > split.zh-en.labelled_spans
-
-./simple-extract.sh ~/workspace/clsp2010/scratch/split.zh-en.labelled_spans
diff --git a/gi/pyp-topics/scripts/score-mkcls.py b/gi/pyp-topics/scripts/score-mkcls.py
deleted file mode 100755
index 6bd33fc5..00000000
--- a/gi/pyp-topics/scripts/score-mkcls.py
+++ /dev/null
@@ -1,61 +0,0 @@
-#!/usr/bin/python
-
-import sys
-from collections import defaultdict
-
-def dict_max(d):
- max_val=-1
- max_key=None
- for k in d:
- if d[k] > max_val:
- max_val = d[k]
- max_key = k
- assert max_key
- return max_key
-
-if len(sys.argv) != 3:
- print "Usage: score-mkcls.py gold classes"
- exit(1)
-
-gold_file=open(sys.argv[1],'r')
-
-term_to_topics = {}
-for line in open(sys.argv[2],'r'):
- term,cls = line.split()
- term_to_topics[term] = cls
-
-gold_to_topics = defaultdict(dict)
-topics_to_gold = defaultdict(dict)
-
-for gold_line in gold_file:
- gold_tokens = gold_line.split()
- for gold_token in gold_tokens:
- gold_term,gold_tag = gold_token.rsplit('|',1)
- pred_token = term_to_topics[gold_term]
- gold_to_topics[gold_tag][pred_token] \
- = gold_to_topics[gold_tag].get(pred_token, 0) + 1
- topics_to_gold[pred_token][gold_tag] \
- = topics_to_gold[pred_token].get(gold_tag, 0) + 1
-
-pred=0
-correct=0
-gold_file=open(sys.argv[1],'r')
-for gold_line in gold_file:
- gold_tokens = gold_line.split()
-
- for gold_token in gold_tokens:
- gold_term,gold_tag = gold_token.rsplit('|',1)
- pred_token = term_to_topics[gold_term]
- print "%s|%s|%s" % (gold_token, pred_token, dict_max(topics_to_gold[pred_token])),
- pred += 1
- if gold_tag == dict_max(topics_to_gold[pred_token]):
- correct += 1
- print
-print >>sys.stderr, "Many-to-One Accuracy = %f" % (float(correct) / pred)
-#for x in gold_to_topics:
-# print x,dict_max(gold_to_topics[x])
-#print "###################################################"
-#for x in range(len(topics_to_gold)):
-# print x,dict_max(topics_to_gold[str(x)])
-# print x,topics_to_gold[str(x)]
-#print term_to_topics
diff --git a/gi/pyp-topics/scripts/score-topics.py b/gi/pyp-topics/scripts/score-topics.py
deleted file mode 100755
index 1d8a1fcd..00000000
--- a/gi/pyp-topics/scripts/score-topics.py
+++ /dev/null
@@ -1,64 +0,0 @@
-#!/usr/bin/python
-
-import sys
-from collections import defaultdict
-
-def dict_max(d):
- max_val=-1
- max_key=None
- for k in d:
- if d[k] > max_val:
- max_val = d[k]
- max_key = k
- assert max_key
- return max_key
-
-if len(sys.argv) != 3:
- print "Usage: score-topics.py gold pred"
- exit(1)
-
-gold_file=open(sys.argv[1],'r')
-pred_file=open(sys.argv[2],'r')
-
-gold_to_topics = defaultdict(dict)
-topics_to_gold = defaultdict(dict)
-term_to_topics = defaultdict(dict)
-
-for gold_line,pred_line in zip(gold_file,pred_file):
- gold_tokens = gold_line.split()
- pred_tokens = pred_line.split()
- assert len(gold_tokens) == len(pred_tokens)
-
- for gold_token,pred_token in zip(gold_tokens,pred_tokens):
- gold_term,gold_tag = gold_token.rsplit('|',1)
- gold_to_topics[gold_tag][pred_token] \
- = gold_to_topics[gold_tag].get(pred_token, 0) + 1
- term_to_topics[gold_term][pred_token] \
- = term_to_topics[gold_term].get(pred_token, 0) + 1
- topics_to_gold[pred_token][gold_tag] \
- = topics_to_gold[pred_token].get(gold_tag, 0) + 1
-
-pred=0
-correct=0
-gold_file=open(sys.argv[1],'r')
-pred_file=open(sys.argv[2],'r')
-for gold_line,pred_line in zip(gold_file,pred_file):
- gold_tokens = gold_line.split()
- pred_tokens = pred_line.split()
-
- for gold_token,pred_token in zip(gold_tokens,pred_tokens):
- gold_term,gold_tag = gold_token.rsplit('|',1)
-# print "%s|%s" % (gold_token, dict_max(gold_to_topics[gold_tag])),
- print "%s|%s|%s" % (gold_token, pred_token, dict_max(topics_to_gold[pred_token])),
- pred += 1
- if gold_tag == dict_max(topics_to_gold[pred_token]):
- correct += 1
- print
-print >>sys.stderr, "Many-to-One Accuracy = %f" % (float(correct) / pred)
-#for x in gold_to_topics:
-# print x,dict_max(gold_to_topics[x])
-#print "###################################################"
-#for x in range(len(topics_to_gold)):
-# print x,dict_max(topics_to_gold[str(x)])
-# print x,topics_to_gold[str(x)]
-#print term_to_topics
diff --git a/gi/pyp-topics/scripts/spans2labels.py b/gi/pyp-topics/scripts/spans2labels.py
deleted file mode 100755
index 50fa8106..00000000
--- a/gi/pyp-topics/scripts/spans2labels.py
+++ /dev/null
@@ -1,137 +0,0 @@
-#!/usr/bin/python
-
-import sys
-from operator import itemgetter
-
-if len(sys.argv) <= 2:
- print "Usage: spans2labels.py phrase_context_index [order] [threshold] [languages={s,t,b}{s,t,b}] [type={tag,tok,both},{tag,tok,both}]"
- exit(1)
-
-order=1
-threshold = 0
-cutoff_cat = "<UNK>"
-if len(sys.argv) > 2:
- order = int(sys.argv[2])
-if len(sys.argv) > 3:
- threshold = float(sys.argv[3])
-phr=ctx='t'
-if len(sys.argv) > 4:
- phr, ctx = sys.argv[4]
- assert phr in 'stb'
- assert ctx in 'stb'
-phr_typ = ctx_typ = 'both'
-if len(sys.argv) > 5:
- phr_typ, ctx_typ = sys.argv[5].split(',')
- assert phr_typ in ('tag', 'tok', 'both')
- assert ctx_typ in ('tag', 'tok', 'both')
-
-#print >>sys.stderr, "Loading phrase index"
-phrase_context_index = {}
-for line in file(sys.argv[1], 'r'):
- phrase,tail= line.split('\t')
- contexts = tail.split(" ||| ")
- try: # remove Phil's bizarre integer pair
- x,y = contexts[0].split()
- x=int(x); y=int(y)
- contexts = contexts[1:]
- except:
- pass
- if len(contexts) == 1: continue
- assert len(contexts) % 2 == 0
- for i in range(0, len(contexts), 2):
- #parse contexts[i+1] = " C=1 P=0.8 ... "
- features=dict([ keyval.split('=') for keyval in contexts[i+1].split()])
- category = features['C']
- if features.has_key('P') and float(features['P']) < threshold:
- category = cutoff_cat
-
- phrase_context_index[(phrase,contexts[i])] = category
- #print (phrase,contexts[i]), category
-
-#print >>sys.stderr, "Labelling spans"
-for line in sys.stdin:
- #print >>sys.stderr, "line", line.strip()
- line_segments = line.split(' ||| ')
- assert len(line_segments) >= 3
- source = ['<s>' for x in range(order)] + line_segments[0].split() + ['</s>' for x in range(order)]
- target = ['<s>' for x in range(order)] + line_segments[1].split() + ['</s>' for x in range(order)]
- phrases = [ [int(i) for i in x.split('-')] for x in line_segments[2].split()]
-
- if phr_typ != 'both' or ctx_typ != 'both':
- if phr in 'tb' or ctx in 'tb':
- target_toks = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[0], line_segments[1].split()) + ['</s>' for x in range(order)]
- target_tags = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[-1], line_segments[1].split()) + ['</s>' for x in range(order)]
-
- if phr in 'tb':
- if phr_typ == 'tok':
- targetP = target_toks
- elif phr_typ == 'tag':
- targetP = target_tags
- if ctx in 'tb':
- if ctx_typ == 'tok':
- targetC = target_toks
- elif ctx_typ == 'tag':
- targetC = target_tags
-
- if phr in 'sb' or ctx in 'sb':
- source_toks = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[0], line_segments[0].split()) + ['</s>' for x in range(order)]
- source_tags = ['<s>' for x in range(order)] + map(lambda x: x.rsplit('_', 1)[-1], line_segments[0].split()) + ['</s>' for x in range(order)]
-
- if phr in 'sb':
- if phr_typ == 'tok':
- sourceP = source_toks
- elif phr_typ == 'tag':
- sourceP = source_tags
- if ctx in 'sb':
- if ctx_typ == 'tok':
- sourceC = source_toks
- elif ctx_typ == 'tag':
- sourceC = source_tags
- else:
- sourceP = sourceC = source
- targetP = targetC = target
-
- #print >>sys.stderr, "line", source, '---', target, 'phrases', phrases
-
- print "|||",
-
- for s1,s2,t1,t2 in phrases:
- s1 += order
- s2 += order
- t1 += order
- t2 += order
-
- phraset = phrases = contextt = contexts = ''
- if phr in 'tb':
- phraset = reduce(lambda x, y: x+y+" ", targetP[t1:t2], "").strip()
- if phr in 'sb':
- phrases = reduce(lambda x, y: x+y+" ", sourceP[s1:s2], "").strip()
-
- if ctx in 'tb':
- left_context = reduce(lambda x, y: x+y+" ", targetC[t1-order:t1], "")
- right_context = reduce(lambda x, y: x+y+" ", targetC[t2:t2+order], "").strip()
- contextt = "%s<PHRASE> %s" % (left_context, right_context)
- if ctx in 'sb':
- left_context = reduce(lambda x, y: x+y+" ", sourceC[s1-order:s1], "")
- right_context = reduce(lambda x, y: x+y+" ", sourceC[s2:s2+order], "").strip()
- contexts = "%s<PHRASE> %s" % (left_context, right_context)
-
- if phr == 'b':
- phrase = phraset + ' <SPLIT> ' + phrases
- elif phr == 's':
- phrase = phrases
- else:
- phrase = phraset
-
- if ctx == 'b':
- context = contextt + ' <SPLIT> ' + contexts
- elif ctx == 's':
- context = contexts
- else:
- context = contextt
-
- #print "%d-%d-%d-%d looking up" % (s1-order,s2-order,t1-order,t2-order), (phrase, context)
- label = phrase_context_index.get((phrase,context), cutoff_cat)
- if label != cutoff_cat: #cutoff'd spans are left unlabelled
- print "%d-%d-%d-%d:X%s" % (s1-order,s2-order,t1-order,t2-order,label),
- print
diff --git a/gi/pyp-topics/scripts/tokens2classes.py b/gi/pyp-topics/scripts/tokens2classes.py
deleted file mode 100755
index 33df255f..00000000
--- a/gi/pyp-topics/scripts/tokens2classes.py
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/usr/bin/python
-
-import sys
-
-if len(sys.argv) != 3:
- print "Usage: tokens2classes.py source_classes target_classes"
- exit(1)
-
-source_to_topics = {}
-for line in open(sys.argv[1],'r'):
- term,cls = line.split()
- source_to_topics[term] = cls
-
-target_to_topics = {}
-for line in open(sys.argv[2],'r'):
- term,cls = line.split()
- target_to_topics[term] = cls
-
-for line in sys.stdin:
- source, target, tail = line.split(" ||| ")
-
- for token in source.split():
- print source_to_topics[token],
- print "|||",
- for token in target.split():
- print target_to_topics[token],
- print "|||", tail,
diff --git a/gi/pyp-topics/scripts/topics.py b/gi/pyp-topics/scripts/topics.py
deleted file mode 100755
index 0db1af71..00000000
--- a/gi/pyp-topics/scripts/topics.py
+++ /dev/null
@@ -1,20 +0,0 @@
-#!/usr/bin/python
-
-import sys
-
-if len(sys.argv) != 2:
- print "Usage: topics.py words-per-topic"
- exit(1)
-
-for t,line in enumerate(sys.stdin):
- tokens = line.split()
- terms = []
- for token in tokens:
- elements = token.rsplit(':',1)
- terms.append((int(elements[1]),elements[0]))
- terms.sort()
- terms.reverse()
-
- print "Topic %d:" % t
- map(lambda (x,y) : sys.stdout.write(" %s:%s\n" % (y,x)), terms[:int(sys.argv[1])])
- print
diff --git a/gi/pyp-topics/src/Makefile.am b/gi/pyp-topics/src/Makefile.am
deleted file mode 100644
index d3f95d0b..00000000
--- a/gi/pyp-topics/src/Makefile.am
+++ /dev/null
@@ -1,16 +0,0 @@
-bin_PROGRAMS = pyp-topics-train pyp-contexts-train #mpi-pyp-contexts-train
-
-contexts_lexer.cc: contexts_lexer.l
- $(LEX) -s -CF -8 -o$@ $<
-
-pyp_topics_train_SOURCES = mt19937ar.c corpus.cc gzstream.cc pyp-topics.cc train.cc contexts_lexer.cc contexts_corpus.cc
-pyp_topics_train_LDADD = $(top_srcdir)/utils/libutils.a -lz
-
-pyp_contexts_train_SOURCES = mt19937ar.c corpus.cc gzstream.cc pyp-topics.cc contexts_lexer.cc contexts_corpus.cc train-contexts.cc
-pyp_contexts_train_LDADD = $(top_srcdir)/utils/libutils.a -lz
-
-#mpi_pyp_contexts_train_SOURCES = mt19937ar.c corpus.cc gzstream.cc mpi-pyp-topics.cc contexts_lexer.cc contexts_corpus.cc mpi-train-contexts.cc
-#mpi_pyp_contexts_train_LDADD = $(top_srcdir)/utils/libutils.a -lz
-
-AM_CPPFLAGS = -W -Wall -Wno-sign-compare -funroll-loops -I../../../utils
-
diff --git a/gi/pyp-topics/src/Makefile.mpi b/gi/pyp-topics/src/Makefile.mpi
deleted file mode 100644
index b7b8a290..00000000
--- a/gi/pyp-topics/src/Makefile.mpi
+++ /dev/null
@@ -1,26 +0,0 @@
-BLD_ARCH=$(shell uname -s)
--include macros.${BLD_ARCH}
-
-local_objs = mt19937ar.o corpus.o gzstream.o mpi-pyp-topics.o contexts_lexer.o contexts_corpus.o mpi-train-contexts.o
-
-all: mpi-pyp-contexts-train
-
--include makefile.depend
-
-#-----------------------#
-# Local stuff
-#-----------------------#
-
-mpi-pyp-contexts-train: mpi-train-contexts.o $(local_objs)
- $(CXX) -o $@ $^ $(LDFLAGS)
-
-.PHONY: depend echo
-depend:
-#$(CXX) -MM $(CXXFLAGS) *.cc *.c | sed 's/^\(.*\.o:\)/obj\/\1/' > makefile.depend
- $(CXX) -MM $(CXXFLAGS) *.cc *.c > makefile.depend
-
-clean:
- rm -f *.o
-
-#clobber: clean
-# rm makefile.depend ../bin/${ARCH}/*
diff --git a/gi/pyp-topics/src/clock_gettime_stub.c b/gi/pyp-topics/src/clock_gettime_stub.c
deleted file mode 100644
index 4883b7c1..00000000
--- a/gi/pyp-topics/src/clock_gettime_stub.c
+++ /dev/null
@@ -1,141 +0,0 @@
-/*
- * Copyright (c), MM Weiss
- * All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without modification,
- * are permitted provided that the following conditions are met:
- *
- * 1. Redistributions of source code must retain the above copyright notice,
- * this list of conditions and the following disclaimer.
- *
- * 2. Redistributions in binary form must reproduce the above copyright notice,
- * this list of conditions and the following disclaimer in the documentation
- * and/or other materials provided with the distribution.
- *
- * 3. Neither the name of the MM Weiss nor the names of its contributors
- * may be used to endorse or promote products derived from this software without
- * specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
- * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
- * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT
- * SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
- * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT
- * OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
- * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR
- * TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
- * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- */
-
-/*
- * clock_gettime_stub.c
- * gcc -Wall -c clock_gettime_stub.c
- * posix realtime functions; MacOS user space glue
- */
-
-/* @comment
- * other possible implementation using intel builtin rdtsc
- * rdtsc-workaround: http://www.mcs.anl.gov/~kazutomo/rdtsc.html
- *
- * we could get the ticks by doing this
- *
- * __asm __volatile("mov %%ebx, %%esi\n\t"
- * "cpuid\n\t"
- * "xchg %%esi, %%ebx\n\t"
- * "rdtsc"
- * : "=a" (a),
- * "=d" (d)
- * );
-
- * we could even replace our tricky sched_yield call by assembly code to get a better accurency,
- * anyway the following C stub will satisfy 99% of apps using posix clock_gettime call,
- * moreover, the setter version (clock_settime) could be easly written using mach primitives:
- * http://www.opensource.apple.com/source/xnu/xnu-${VERSION}/osfmk/man/ (clock_[set|get]_time)
- *
- * hackers don't be crackers, don't you use a flush toilet?
- *
- *
- * @see draft: ./posix-realtime-stub/posix-realtime-stub.c
- *
- */
-
-
-#ifdef __APPLE__
-
-#pragma weak clock_gettime
-
-#include <sys/time.h>
-#include <sys/resource.h>
-#include <mach/mach.h>
-#include <mach/clock.h>
-#include <mach/mach_time.h>
-#include <errno.h>
-#include <unistd.h>
-#include <sched.h>
-
-typedef enum {
- CLOCK_REALTIME,
- CLOCK_MONOTONIC,
- CLOCK_PROCESS_CPUTIME_ID,
- CLOCK_THREAD_CPUTIME_ID
-} clockid_t;
-
-static mach_timebase_info_data_t __clock_gettime_inf;
-
-static int clock_gettime(clockid_t clk_id, struct timespec *tp) {
- kern_return_t ret;
- clock_serv_t clk;
- clock_id_t clk_serv_id;
- mach_timespec_t tm;
-
- uint64_t start, end, delta, nano;
-
- //task_basic_info_data_t tinfo;
- //task_thread_times_info_data_t ttinfo;
- //mach_msg_type_number_t tflag;
-
- int retval = -1;
- switch (clk_id) {
- case CLOCK_REALTIME:
- case CLOCK_MONOTONIC:
- clk_serv_id = clk_id == CLOCK_REALTIME ? CALENDAR_CLOCK : SYSTEM_CLOCK;
- if (KERN_SUCCESS == (ret = host_get_clock_service(mach_host_self(), clk_serv_id, &clk))) {
- if (KERN_SUCCESS == (ret = clock_get_time(clk, &tm))) {
- tp->tv_sec = tm.tv_sec;
- tp->tv_nsec = tm.tv_nsec;
- retval = 0;
- }
- }
- if (KERN_SUCCESS != ret) {
- errno = EINVAL;
- retval = -1;
- }
- break;
- case CLOCK_PROCESS_CPUTIME_ID:
- case CLOCK_THREAD_CPUTIME_ID:
- start = mach_absolute_time();
- if (clk_id == CLOCK_PROCESS_CPUTIME_ID) {
- getpid();
- } else {
- sched_yield();
- }
- end = mach_absolute_time();
- delta = end - start;
- if (0 == __clock_gettime_inf.denom) {
- mach_timebase_info(&__clock_gettime_inf);
- }
- nano = delta * __clock_gettime_inf.numer / __clock_gettime_inf.denom;
- tp->tv_sec = nano * 1e-9;
- tp->tv_nsec = nano - (tp->tv_sec * 1e9);
- retval = 0;
- break;
- default:
- errno = EINVAL;
- retval = -1;
- }
- return retval;
-}
-
-#endif // __APPLE__
-
-/* EOF */
diff --git a/gi/pyp-topics/src/contexts_corpus.cc b/gi/pyp-topics/src/contexts_corpus.cc
deleted file mode 100644
index 92b1b34c..00000000
--- a/gi/pyp-topics/src/contexts_corpus.cc
+++ /dev/null
@@ -1,164 +0,0 @@
-#include <sstream>
-#include <iostream>
-#include <set>
-
-#include "contexts_corpus.hh"
-#include "gzstream.hh"
-#include "contexts_lexer.h"
-
-#include <boost/tuple/tuple.hpp>
-
-
-using namespace std;
-
-//////////////////////////////////////////////////
-// ContextsCorpus
-//////////////////////////////////////////////////
-
-bool read_callback_binary_contexts = false;
-
-void read_callback(const ContextsLexer::PhraseContextsType& new_contexts, void* extra) {
- assert(new_contexts.contexts.size() == new_contexts.counts.size());
-
- boost::tuple<ContextsCorpus*, BackoffGenerator*, map<string,int>* >* extra_pair
- = static_cast< boost::tuple<ContextsCorpus*, BackoffGenerator*, map<string,int>* >* >(extra);
-
- ContextsCorpus* corpus_ptr = extra_pair->get<0>();
- BackoffGenerator* backoff_gen = extra_pair->get<1>();
- //map<string,int>* counts = extra_pair->get<2>();
-
- Document* doc(new Document());
-
- //cout << "READ: " << new_contexts.phrase << "\t";
- for (int i=0; i < (int)new_contexts.counts.size(); ++i) {
- int cache_word_count = corpus_ptr->m_dict.max();
-
- //string context_str = corpus_ptr->m_dict.toString(new_contexts.contexts[i]);
- int context_index = new_contexts.counts.at(i).first;
- string context_str = corpus_ptr->m_dict.toString(new_contexts.contexts[context_index]);
-
- // filter out singleton contexts
- //if (!counts->empty()) {
- // map<string,int>::const_iterator find_it = counts->find(context_str);
- // if (find_it == counts->end() || find_it->second < 2)
- // continue;
- //}
-
- WordID id = corpus_ptr->m_dict.Convert(context_str);
- if (cache_word_count != corpus_ptr->m_dict.max()) {
- corpus_ptr->m_backoff->terms_at_level(0)++;
- corpus_ptr->m_num_types++;
- }
-
- //int count = new_contexts.counts[i];
- int count = new_contexts.counts.at(i).second;
- if (read_callback_binary_contexts) {
- doc->push_back(id);
- corpus_ptr->m_num_terms++;
- }
- else {
- for (int j=0; j<count; ++j)
- doc->push_back(id);
- corpus_ptr->m_num_terms += count;
- }
-
- // generate the backoff map
- if (backoff_gen) {
- int order = 1;
- WordID backoff_id = id;
- //ContextsLexer::Context backedoff_context = new_contexts.contexts[i];
- ContextsLexer::Context backedoff_context = new_contexts.contexts[context_index];
- while (true) {
- if (!corpus_ptr->m_backoff->has_backoff(backoff_id)) {
- //cerr << "Backing off from " << corpus_ptr->m_dict.Convert(backoff_id) << " to ";
- backedoff_context = (*backoff_gen)(backedoff_context);
-
- if (backedoff_context.empty()) {
- //cerr << "Nothing." << endl;
- (*corpus_ptr->m_backoff)[backoff_id] = -1;
- break;
- }
-
- if (++order > corpus_ptr->m_backoff->order())
- corpus_ptr->m_backoff->order(order);
-
- int cache_word_count = corpus_ptr->m_dict.max();
- int new_backoff_id = corpus_ptr->m_dict.Convert(backedoff_context);
- if (cache_word_count != corpus_ptr->m_dict.max())
- corpus_ptr->m_backoff->terms_at_level(order-1)++;
-
- //cerr << corpus_ptr->m_dict.Convert(new_backoff_id) << " ." << endl;
-
- backoff_id = ((*corpus_ptr->m_backoff)[backoff_id] = new_backoff_id);
- }
- else break;
- }
- }
- //cout << context_str << " (" << id << ") ||| C=" << count << " ||| ";
- }
- //cout << endl;
-
- //if (!doc->empty()) {
- corpus_ptr->m_documents.push_back(doc);
- corpus_ptr->m_keys.push_back(new_contexts.phrase);
- //}
-}
-
-void filter_callback(const ContextsLexer::PhraseContextsType& new_contexts, void* extra) {
- assert(new_contexts.contexts.size() == new_contexts.counts.size());
-
- map<string,int>* context_counts = (static_cast<map<string,int>*>(extra));
-
- for (int i=0; i < (int)new_contexts.counts.size(); ++i) {
- int context_index = new_contexts.counts.at(i).first;
- int count = new_contexts.counts.at(i).second;
- //if (read_callback_binary_contexts) count = 1;
- //int count = new_contexts.counts[i];
- pair<map<string,int>::iterator,bool> result
- = context_counts->insert(make_pair(Dict::toString(new_contexts.contexts[context_index]),count));
- //= context_counts->insert(make_pair(Dict::toString(new_contexts.contexts[i]),count));
- if (!result.second)
- result.first->second += count;
- }
-}
-
-
-unsigned ContextsCorpus::read_contexts(const string &filename,
- BackoffGenerator* backoff_gen_ptr,
- bool /*filter_singeltons*/,
- bool binary_contexts) {
- read_callback_binary_contexts = binary_contexts;
-
- map<string,int> counts;
- //if (filter_singeltons)
- {
- // cerr << "--- Filtering singleton contexts ---" << endl;
-
- igzstream in(filename.c_str());
- ContextsLexer::ReadContexts(&in, filter_callback, &counts);
- }
-
- m_num_terms = 0;
- m_num_types = 0;
-
- igzstream in(filename.c_str());
- boost::tuple<ContextsCorpus*, BackoffGenerator*, map<string,int>* > extra_pair(this,backoff_gen_ptr,&counts);
- ContextsLexer::ReadContexts(&in, read_callback, &extra_pair);
-
- //m_num_types = m_dict.max();
-
- cerr << "Read backoff with order " << m_backoff->order() << "\n";
- for (int o=0; o<m_backoff->order(); o++)
- cerr << " Terms at " << o << " = " << m_backoff->terms_at_level(o) << endl;
- //cerr << endl;
-
- int i=0; double av_freq=0;
- for (map<string,int>::const_iterator it=counts.begin(); it != counts.end(); ++it, ++i) {
- WordID id = m_dict.Convert(it->first);
- m_context_counts[id] = it->second;
- av_freq += it->second;
- }
- cerr << " Average term frequency = " << av_freq / (double) i << endl;
-
- return m_documents.size();
-}
diff --git a/gi/pyp-topics/src/contexts_corpus.hh b/gi/pyp-topics/src/contexts_corpus.hh
deleted file mode 100644
index 2527f655..00000000
--- a/gi/pyp-topics/src/contexts_corpus.hh
+++ /dev/null
@@ -1,90 +0,0 @@
-#ifndef _CONTEXTS_CORPUS_HH
-#define _CONTEXTS_CORPUS_HH
-
-#include <vector>
-#include <string>
-#include <map>
-#include <tr1/unordered_map>
-
-#include <boost/ptr_container/ptr_vector.hpp>
-
-#include "corpus.hh"
-#include "contexts_lexer.h"
-#include "dict.h"
-
-
-class BackoffGenerator {
-public:
- virtual ContextsLexer::Context
- operator()(const ContextsLexer::Context& c) = 0;
-
-protected:
- ContextsLexer::Context strip_edges(const ContextsLexer::Context& c) {
- if (c.size() <= 1) return ContextsLexer::Context();
- assert(c.size() % 2 == 1);
- return ContextsLexer::Context(c.begin() + 1, c.end() - 1);
- }
-};
-
-class NullBackoffGenerator : public BackoffGenerator {
- virtual ContextsLexer::Context
- operator()(const ContextsLexer::Context&)
- { return ContextsLexer::Context(); }
-};
-
-class SimpleBackoffGenerator : public BackoffGenerator {
- virtual ContextsLexer::Context
- operator()(const ContextsLexer::Context& c) {
- if (c.size() <= 3)
- return ContextsLexer::Context();
- return strip_edges(c);
- }
-};
-
-
-////////////////////////////////////////////////////////////////
-// ContextsCorpus
-////////////////////////////////////////////////////////////////
-
-class ContextsCorpus : public Corpus {
- friend void read_callback(const ContextsLexer::PhraseContextsType&, void*);
-
-public:
- ContextsCorpus() : m_backoff(new TermBackoff) {}
- virtual ~ContextsCorpus() {}
-
- virtual unsigned read_contexts(const std::string &filename,
- BackoffGenerator* backoff_gen=0,
- bool filter_singeltons=false,
- bool binary_contexts=false);
-
- TermBackoffPtr backoff_index() {
- return m_backoff;
- }
-
- std::vector<std::string> context2string(const WordID& id) const {
- std::vector<std::string> res;
- assert (id >= 0);
- m_dict.AsVector(id, &res);
- return res;
- }
-
- virtual int context_count(const WordID& id) const {
- return m_context_counts.find(id)->second;
- }
-
-
- const std::string& key(const int& i) const {
- return m_keys.at(i);
- }
-
- const Dict& dict() const { return m_dict; }
-
-protected:
- TermBackoffPtr m_backoff;
- Dict m_dict;
- std::vector<std::string> m_keys;
- std::tr1::unordered_map<int,int> m_context_counts;
-};
-
-#endif // _CONTEXTS_CORPUS_HH
diff --git a/gi/pyp-topics/src/contexts_lexer.h b/gi/pyp-topics/src/contexts_lexer.h
deleted file mode 100644
index 66004990..00000000
--- a/gi/pyp-topics/src/contexts_lexer.h
+++ /dev/null
@@ -1,22 +0,0 @@
-#ifndef _CONTEXTS_LEXER_H_
-#define _CONTEXTS_LEXER_H_
-
-#include <iostream>
-#include <vector>
-#include <string>
-
-#include "dict.h"
-
-struct ContextsLexer {
- typedef std::vector<std::string> Context;
- struct PhraseContextsType {
- std::string phrase;
- std::vector<Context> contexts;
- std::vector< std::pair<int,int> > counts;
- };
-
- typedef void (*ContextsCallback)(const PhraseContextsType& new_contexts, void* extra);
- static void ReadContexts(std::istream* in, ContextsCallback func, void* extra);
-};
-
-#endif
diff --git a/gi/pyp-topics/src/contexts_lexer.l b/gi/pyp-topics/src/contexts_lexer.l
deleted file mode 100644
index 64cd7ca3..00000000
--- a/gi/pyp-topics/src/contexts_lexer.l
+++ /dev/null
@@ -1,113 +0,0 @@
-%{
-#include "contexts_lexer.h"
-
-#include <string>
-#include <iostream>
-#include <sstream>
-#include <cstring>
-#include <cassert>
-#include <algorithm>
-
-int lex_line = 0;
-std::istream* contextslex_stream = NULL;
-ContextsLexer::ContextsCallback contexts_callback = NULL;
-void* contexts_callback_extra = NULL;
-
-#undef YY_INPUT
-#define YY_INPUT(buf, result, max_size) (result = contextslex_stream->read(buf, max_size).gcount())
-
-#define YY_SKIP_YYWRAP 1
-int num_phrases = 0;
-int yywrap() { return 1; }
-
-#define MAX_TOKEN_SIZE 255
-std::string contextslex_tmp_token(MAX_TOKEN_SIZE, '\0');
-ContextsLexer::PhraseContextsType current_contexts;
-
-#define MAX_CONTEXT_SIZE 255
-//std::string tmp_context[MAX_CONTEXT_SIZE];
-ContextsLexer::Context tmp_context;
-
-
-void contextslex_reset() {
- current_contexts.phrase.clear();
- current_contexts.contexts.clear();
- current_contexts.counts.clear();
- tmp_context.clear();
-}
-
-%}
-
-INT [\-+]?[0-9]+|inf|[\-+]inf
-
-%x CONTEXT COUNT COUNT_END
-%%
-
-<INITIAL>[^\t]+ {
- contextslex_reset();
- current_contexts.phrase.assign(yytext, yyleng);
- BEGIN(CONTEXT);
- }
-<INITIAL>\t {
- ;
- }
-
-<INITIAL,CONTEXT,COUNT>\n {
- std::cerr << "ERROR: contexts_lexer.l: unexpected newline while trying to read phrase|context|count." << std::endl;
- abort();
- }
-
-<CONTEXT>\|\|\| {
- current_contexts.contexts.push_back(tmp_context);
- tmp_context.clear();
- BEGIN(COUNT);
- }
-<CONTEXT>[^ \t]+ {
- contextslex_tmp_token.assign(yytext, yyleng);
- tmp_context.push_back(contextslex_tmp_token);
- }
-<CONTEXT>[ \t]+ { ; }
-
-<COUNT>[ \t]+ { ; }
-<COUNT>C={INT} {
- current_contexts.counts.push_back(std::make_pair(current_contexts.counts.size(), atoi(yytext+2)));
- BEGIN(COUNT_END);
- }
-<COUNT>. {
- std::cerr << "ERROR: contexts_lexer.l: unexpected content while reading count." << std::endl;
- abort();
- }
-
-<COUNT_END>[ \t]+ { ; }
-<COUNT_END>\|\|\| {
- BEGIN(CONTEXT);
- }
-<COUNT_END>\n {
- //std::cerr << "READ:" << current_contexts.phrase << " with " << current_contexts.contexts.size()
- // << " contexts, and " << current_contexts.counts.size() << " counts." << std::endl;
- std::sort(current_contexts.counts.rbegin(), current_contexts.counts.rend());
-
- contexts_callback(current_contexts, contexts_callback_extra);
- current_contexts.phrase.clear();
- current_contexts.contexts.clear();
- current_contexts.counts.clear();
- BEGIN(INITIAL);
- }
-<COUNT_END>. {
- contextslex_tmp_token.assign(yytext, yyleng);
- std::cerr << "ERROR: contexts_lexer.l: unexpected content while looking for ||| closing count." << std::endl;
- abort();
- }
-
-%%
-
-#include "filelib.h"
-
-void ContextsLexer::ReadContexts(std::istream* in, ContextsLexer::ContextsCallback func, void* extra) {
- lex_line = 1;
- contextslex_stream = in;
- contexts_callback_extra = extra,
- contexts_callback = func;
- yylex();
-}
-
diff --git a/gi/pyp-topics/src/corpus.cc b/gi/pyp-topics/src/corpus.cc
deleted file mode 100644
index f182381f..00000000
--- a/gi/pyp-topics/src/corpus.cc
+++ /dev/null
@@ -1,104 +0,0 @@
-#include <sstream>
-#include <iostream>
-#include <set>
-
-#include "corpus.hh"
-#include "gzstream.hh"
-
-using namespace std;
-
-//////////////////////////////////////////////////
-// Corpus
-//////////////////////////////////////////////////
-
-Corpus::Corpus() : m_num_terms(0), m_num_types(0) {}
-
-unsigned Corpus::read(const std::string &filename) {
- m_num_terms = 0;
- m_num_types = 0;
- std::set<int> seen_types;
-
- igzstream in(filename.c_str());
-
- string buf;
- int token;
- unsigned doc_count=0;
- while (getline(in, buf)) {
- Document* doc(new Document());
- istringstream ss(buf);
-
- ss >> token; // the number of unique terms
-
- char delimeter;
- int count;
- while(ss >> token >> delimeter >> count) {
- for (int i=0; i<count; ++i)
- doc->push_back(token);
- m_num_terms += count;
- seen_types.insert(token);
- }
-
- m_documents.push_back(doc);
- doc_count++;
- }
-
- m_num_types = seen_types.size();
-
- return doc_count;
-}
-
-
-//////////////////////////////////////////////////
-// TestCorpus
-//////////////////////////////////////////////////
-
-TestCorpus::TestCorpus() {}
-
-void TestCorpus::read(const std::string &filename) {
- igzstream in(filename.c_str());
-
- string buf;
- Term term;
- DocumentId doc;
- char delimeter;
- while (getline(in, buf)) {
- DocumentTerms* line(new DocumentTerms());
- istringstream ss(buf);
-
- while(ss >> doc >> delimeter >> term)
- line->push_back(DocumentTerm(doc, term));
-
- m_lines.push_back(line);
- }
-}
-
-//////////////////////////////////////////////////
-// TermBackoff
-//////////////////////////////////////////////////
-
-void TermBackoff::read(const std::string &filename) {
- igzstream in(filename.c_str());
-
- string buf;
- int num_terms;
- getline(in, buf);
- istringstream ss(buf);
- ss >> num_terms >> m_backoff_order;
-
- m_dict.resize(num_terms, -1);
- for (int i=0; i<m_backoff_order; ++i) {
- int count; ss >> count;
- m_terms_at_order.push_back(count);
- }
-
- Term term, backoff;
- while (getline(in, buf)) {
- istringstream ss(buf);
- ss >> term >> backoff;
-
- assert(term < num_terms);
- assert(term >= 0);
-
- m_dict[term] = backoff;
- }
-}
diff --git a/gi/pyp-topics/src/corpus.hh b/gi/pyp-topics/src/corpus.hh
deleted file mode 100644
index 2aa03527..00000000
--- a/gi/pyp-topics/src/corpus.hh
+++ /dev/null
@@ -1,133 +0,0 @@
-#ifndef _CORPUS_HH
-#define _CORPUS_HH
-
-#include <vector>
-#include <string>
-#include <map>
-#include <limits>
-
-#include <boost/shared_ptr.hpp>
-#include <boost/ptr_container/ptr_vector.hpp>
-
-////////////////////////////////////////////////////////////////
-// Corpus
-////////////////////////////////////////////////////////////////
-typedef int Term;
-
-typedef std::vector<Term> Document;
-typedef std::vector<Term> Terms;
-
-class Corpus {
-public:
- typedef boost::ptr_vector<Document>::const_iterator const_iterator;
-
-public:
- Corpus();
- virtual ~Corpus() {}
-
- virtual unsigned read(const std::string &filename);
-
- const_iterator begin() const { return m_documents.begin(); }
- const_iterator end() const { return m_documents.end(); }
-
- const Document& at(size_t i) const { return m_documents.at(i); }
-
- int num_documents() const { return m_documents.size(); }
- int num_terms() const { return m_num_terms; }
- int num_types() const { return m_num_types; }
-
- virtual int context_count(const int&) const {
- return std::numeric_limits<int>::max();
- }
-
-protected:
- int m_num_terms, m_num_types;
- boost::ptr_vector<Document> m_documents;
-};
-
-typedef int DocumentId;
-struct DocumentTerm {
- DocumentTerm(DocumentId d, Term t) : term(t), doc(d) {}
- Term term;
- DocumentId doc;
-};
-typedef std::vector<DocumentTerm> DocumentTerms;
-
-class TestCorpus {
-public:
- typedef boost::ptr_vector<DocumentTerms>::const_iterator const_iterator;
-
-public:
- TestCorpus();
- ~TestCorpus() {}
-
- void read(const std::string &filename);
-
- const_iterator begin() const { return m_lines.begin(); }
- const_iterator end() const { return m_lines.end(); }
-
- int num_instances() const { return m_lines.size(); }
-
-protected:
- boost::ptr_vector<DocumentTerms> m_lines;
-};
-
-class TermBackoff {
-public:
- typedef std::vector<Term> dictionary_type;
- typedef dictionary_type::const_iterator const_iterator;
- const static int NullBackoff=-1;
-
-public:
- TermBackoff() { order(1); }
- ~TermBackoff() {}
-
- void read(const std::string &filename);
-
- const_iterator begin() const { return m_dict.begin(); }
- const_iterator end() const { return m_dict.end(); }
-
- const Term& operator[](const Term& t) const {
- assert(t < static_cast<int>(m_dict.size()));
- return m_dict[t];
- }
-
- Term& operator[](const Term& t) {
- if (t >= static_cast<int>(m_dict.size()))
- m_dict.resize(t+1, -1);
- return m_dict[t];
- }
-
- bool has_backoff(const Term& t) {
- return t >= 0 && t < static_cast<int>(m_dict.size()) && m_dict[t] >= 0;
- }
-
- int order() const { return m_backoff_order; }
- void order(int o) {
- if (o >= (int)m_terms_at_order.size())
- m_terms_at_order.resize(o, 0);
- m_backoff_order = o;
- }
-
-// int levels() const { return m_terms_at_order.size(); }
- bool is_null(const Term& term) const { return term < 0; }
- int terms_at_level(int level) const {
- assert (level < (int)m_terms_at_order.size());
- return m_terms_at_order.at(level);
- }
-
- int& terms_at_level(int level) {
- assert (level < (int)m_terms_at_order.size());
- return m_terms_at_order.at(level);
- }
-
- int size() const { return m_dict.size(); }
-
-protected:
- dictionary_type m_dict;
- int m_backoff_order;
- std::vector<int> m_terms_at_order;
-};
-typedef boost::shared_ptr<TermBackoff> TermBackoffPtr;
-
-#endif // _CORPUS_HH
diff --git a/gi/pyp-topics/src/gammadist.c b/gi/pyp-topics/src/gammadist.c
deleted file mode 100644
index 4e260db8..00000000
--- a/gi/pyp-topics/src/gammadist.c
+++ /dev/null
@@ -1,247 +0,0 @@
-/* gammadist.c -- computes probability of samples under / produces samples from a Gamma distribution
- *
- * Mark Johnson, 22nd March 2008
- *
- * WARNING: you need to set the flag -std=c99 to compile
- *
- * gammavariate() was translated from random.py in Python library
- *
- * The Gamma distribution is:
- *
- * Gamma(x | alpha, beta) = pow(x/beta, alpha-1) * exp(-x/beta) / (gamma(alpha)*beta)
- *
- * shape parameter alpha > 0 (also called c), scale parameter beta > 0 (also called s);
- * mean is alpha*beta, variance is alpha*beta**2
- *
- * Note that many parameterizations of the Gamma function are in terms of an _inverse_
- * scale parameter beta, which is the inverse of the beta given here.
- *
- * To define a main() that tests the routines, uncomment the following #define:
- */
-/* #define GAMMATEST */
-
-#include <assert.h>
-#include <math.h>
-
-#include "gammadist.h"
-#include "mt19937ar.h"
-
-/* gammadist() returns the probability density of x under a Gamma(alpha,beta)
- * distribution
- */
-
-long double gammadist(long double x, long double alpha, long double beta) {
- assert(alpha > 0);
- assert(beta > 0);
- return pow(x/beta, alpha-1) * exp(-x/beta) / (tgamma(alpha)*beta);
-}
-
-/* lgammadist() returns the log probability density of x under a Gamma(alpha,beta)
- * distribution
- */
-
-long double lgammadist(long double x, long double alpha, long double beta) {
- assert(alpha > 0);
- assert(beta > 0);
- return (alpha-1)*log(x) - alpha*log(beta) - x/beta - lgamma(alpha);
-}
-
-/* This definition of gammavariate is from Python code in
- * the Python random module.
- */
-
-long double gammavariate(long double alpha, long double beta) {
-
- assert(alpha > 0);
- assert(beta > 0);
-
- if (alpha > 1.0) {
-
- /* Uses R.C.H. Cheng, "The generation of Gamma variables with
- non-integral shape parameters", Applied Statistics, (1977), 26,
- No. 1, p71-74 */
-
- long double ainv = sqrt(2.0 * alpha - 1.0);
- long double bbb = alpha - log(4.0);
- long double ccc = alpha + ainv;
-
- while (1) {
- long double u1 = mt_genrand_real3();
- if (u1 > 1e-7 || u1 < 0.9999999) {
- long double u2 = 1.0 - mt_genrand_real3();
- long double v = log(u1/(1.0-u1))/ainv;
- long double x = alpha*exp(v);
- long double z = u1*u1*u2;
- long double r = bbb+ccc*v-x;
- if (r + (1.0+log(4.5)) - 4.5*z >= 0.0 || r >= log(z))
- return x * beta;
- }
- }
- }
- else if (alpha == 1.0) {
- long double u = mt_genrand_real3();
- while (u <= 1e-7)
- u = mt_genrand_real3();
- return -log(u) * beta;
- }
- else {
- /* alpha is between 0 and 1 (exclusive)
- Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle */
-
- while (1) {
- long double u = mt_genrand_real3();
- long double b = (exp(1) + alpha)/exp(1);
- long double p = b*u;
- long double x = (p <= 1.0) ? pow(p, 1.0/alpha) : -log((b-p)/alpha);
- long double u1 = mt_genrand_real3();
- if (! (((p <= 1.0) && (u1 > exp(-x))) ||
- ((p > 1.0) && (u1 > pow(x, alpha - 1.0)))))
- return x * beta;
- }
- }
-}
-
-/* betadist() returns the probability density of x under a Beta(alpha,beta)
- * distribution.
- */
-
-long double betadist(long double x, long double alpha, long double beta) {
- assert(x >= 0);
- assert(x <= 1);
- assert(alpha > 0);
- assert(beta > 0);
- return pow(x,alpha-1)*pow(1-x,beta-1)*tgamma(alpha+beta)/(tgamma(alpha)*tgamma(beta));
-}
-
-/* lbetadist() returns the log probability density of x under a Beta(alpha,beta)
- * distribution.
- */
-
-long double lbetadist(long double x, long double alpha, long double beta) {
- assert(x > 0);
- assert(x < 1);
- assert(alpha > 0);
- assert(beta > 0);
- return (alpha-1)*log(x)+(beta-1)*log(1-x)+lgamma(alpha+beta)-lgamma(alpha)-lgamma(beta);
-}
-
-/* betavariate() generates a sample from a Beta distribution with
- * parameters alpha and beta.
- *
- * 0 < alpha < 1, 0 < beta < 1, mean is alpha/(alpha+beta)
- */
-
-long double betavariate(long double alpha, long double beta) {
- long double x = gammavariate(alpha, 1);
- long double y = gammavariate(beta, 1);
- return x/(x+y);
-}
-
-#ifdef GAMMATEST
-#include <stdio.h>
-
-int main(int argc, char **argv) {
- int iteration, niterations = 1000;
-
- for (iteration = 0; iteration < niterations; ++iteration) {
- long double alpha = 100*mt_genrand_real3();
- long double gv = gammavariate(alpha, 1);
- long double pgv = gammadist(gv, alpha, 1);
- long double pgvl = exp(lgammadist(gv, alpha, 1));
- fprintf(stderr, "iteration = %d, gammavariate(%lg,1) = %lg, gammadist(%lg,%lg,1) = %lg, exp(lgammadist(%lg,%lg,1) = %lg\n",
- iteration, alpha, gv, gv, alpha, pgv, gv, alpha, pgvl);
- }
- return 0;
-}
-
-#endif /* GAMMATEST */
-
-
-/* Other routines I tried, but which weren't as good as the ones above */
-
-#if 0
-
-/*! gammavariate() returns samples from a Gamma distribution
- *! where alpha is the shape parameter and beta is the scale
- *! parameter, using the algorithm described on p. 94 of
- *! Gentle (1998) Random Number Generation and Monte Carlo Methods,
- *! Springer.
- */
-
-long double gammavariate(long double alpha) {
-
- assert(alpha > 0);
-
- if (alpha > 1.0) {
- while (1) {
- long double u1 = mt_genrand_real3();
- long double u2 = mt_genrand_real3();
- long double v = (alpha - 1/(6*alpha))*u1/(alpha-1)*u2;
- if (2*(u2-1)/(alpha-1) + v + 1/v <= 2
- || 2*log(u2)/(alpha-1) - log(v) + v <= 1)
- return (alpha-1)*v;
- }
- } else if (alpha < 1.0) {
- while (1) {
- long double t = 0.07 + 0.75*sqrt(1-alpha);
- long double b = alpha + exp(-t)*alpha/t;
- long double u1 = mt_genrand_real3();
- long double u2 = mt_genrand_real3();
- long double v = b*u1;
- if (v <= 1) {
- long double x = t*pow(v, 1/alpha);
- if (u2 <= (2 - x)/(2 + x))
- return x;
- if (u2 <= exp(-x))
- return x;
- }
- else {
- long double x = log(t*(b-v)/alpha);
- long double y = x/t;
- if (u2*(alpha + y*(1-alpha)) <= 1)
- return x;
- if (u2 <= pow(y,alpha-1))
- return x;
- }
- }
- }
- else
- return -log(mt_genrand_real3());
-}
-
-
-/*! gammavariate() returns a deviate distributed as a gamma
- *! distribution of order alpha, beta, i.e., a waiting time to the alpha'th
- *! event in a Poisson process of unit mean.
- *!
- *! Code from Numerical Recipes
- */
-
-long double nr_gammavariate(long double ia) {
- int j;
- long double am,e,s,v1,v2,x,y;
- assert(ia > 0);
- if (ia < 10) {
- x=1.0;
- for (j=1;j<=ia;j++)
- x *= mt_genrand_real3();
- x = -log(x);
- } else {
- do {
- do {
- do {
- v1=mt_genrand_real3();
- v2=2.0*mt_genrand_real3()-1.0;
- } while (v1*v1+v2*v2 > 1.0);
- y=v2/v1;
- am=ia-1;
- s=sqrt(2.0*am+1.0);
- x=s*y+am;
- } while (x <= 0.0);
- e=(1.0+y*y)*exp(am*log(x/am)-s*y);
- } while (mt_genrand_real3() > e);
- }
- return x;
-}
-
-#endif
diff --git a/gi/pyp-topics/src/gammadist.h b/gi/pyp-topics/src/gammadist.h
deleted file mode 100644
index b6ad6c40..00000000
--- a/gi/pyp-topics/src/gammadist.h
+++ /dev/null
@@ -1,72 +0,0 @@
-/* gammadist.h -- computes probability of samples under / produces samples from a Gamma distribution
- *
- * Mark Johnson, 22nd March 2008
- *
- * gammavariate() was translated from random.py in Python library
- *
- * The Gamma distribution is:
- *
- * Gamma(x | alpha, beta) = pow(x/beta, alpha-1) * exp(-x/beta) / (gamma(alpha)*beta)
- *
- * shape parameter alpha > 0 (also called c), scale parameter beta > 0 (also called s);
- * mean is alpha*beta, variance is alpha*beta**2
- *
- * Note that many parameterizations of the Gamma function are in terms of an _inverse_
- * scale parameter beta, which is the inverse of the beta given here.
- */
-
-#ifndef GAMMADIST_H
-#define GAMMADIST_H
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
- /* gammadist() returns the probability density of x under a Gamma(alpha,beta)
- * distribution
- */
-
- long double gammadist(long double x, long double alpha, long double beta);
-
- /* lgammadist() returns the log probability density of x under a Gamma(alpha,beta)
- * distribution
- */
-
- long double lgammadist(long double x, long double alpha, long double beta);
-
- /* gammavariate() generates samples from a Gamma distribution
- * conditioned on the parameters alpha and beta.
- *
- * alpha > 0, beta > 0, mean is alpha*beta, variance is alpha*beta**2
- *
- * Warning: a few older sources define the gamma distribution in terms
- * of alpha > -1.0
- */
-
- long double gammavariate(long double alpha, long double beta);
-
- /* betadist() returns the probability density of x under a Beta(alpha,beta)
- * distribution.
- */
-
- long double betadist(long double x, long double alpha, long double beta);
-
- /* lbetadist() returns the log probability density of x under a Beta(alpha,beta)
- * distribution.
- */
-
- long double lbetadist(long double x, long double alpha, long double beta);
-
- /* betavariate() generates a sample from a Beta distribution with
- * parameters alpha and beta.
- *
- * 0 < alpha < 1, 0 < beta < 1, mean is alpha/(alpha+beta)
- */
-
- long double betavariate(long double alpha, long double beta);
-
-#ifdef __cplusplus
-};
-#endif
-
-#endif /* GAMMADIST_H */
diff --git a/gi/pyp-topics/src/gzstream.cc b/gi/pyp-topics/src/gzstream.cc
deleted file mode 100644
index 7c4d3a12..00000000
--- a/gi/pyp-topics/src/gzstream.cc
+++ /dev/null
@@ -1,165 +0,0 @@
-// ============================================================================
-// gzstream, C++ iostream classes wrapping the zlib compression library.
-// Copyright (C) 2001 Deepak Bandyopadhyay, Lutz Kettner
-//
-// This library is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 2.1 of the License, or (at your option) any later version.
-//
-// This library is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
-// Lesser General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License along with this library; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-// ============================================================================
-//
-// File : gzstream.C
-// Revision : $Revision: 1.1 $
-// Revision_date : $Date: 2006/03/30 04:05:52 $
-// Author(s) : Deepak Bandyopadhyay, Lutz Kettner
-//
-// Standard streambuf implementation following Nicolai Josuttis, "The
-// Standard C++ Library".
-// ============================================================================
-
-#include "gzstream.hh"
-#include <iostream>
-#include <string.h> // for memcpy
-
-#ifdef GZSTREAM_NAMESPACE
-namespace GZSTREAM_NAMESPACE {
-#endif
-
-// ----------------------------------------------------------------------------
-// Internal classes to implement gzstream. See header file for user classes.
-// ----------------------------------------------------------------------------
-
-// --------------------------------------
-// class gzstreambuf:
-// --------------------------------------
-
-gzstreambuf* gzstreambuf::open( const char* name, int open_mode) {
- if ( is_open())
- return (gzstreambuf*)0;
- mode = open_mode;
- // no append nor read/write mode
- if ((mode & std::ios::ate) || (mode & std::ios::app)
- || ((mode & std::ios::in) && (mode & std::ios::out)))
- return (gzstreambuf*)0;
- char fmode[10];
- char* fmodeptr = fmode;
- if ( mode & std::ios::in)
- *fmodeptr++ = 'r';
- else if ( mode & std::ios::out)
- *fmodeptr++ = 'w';
- *fmodeptr++ = 'b';
- *fmodeptr = '\0';
- file = gzopen( name, fmode);
- if (file == 0)
- return (gzstreambuf*)0;
- opened = 1;
- return this;
-}
-
-gzstreambuf * gzstreambuf::close() {
- if ( is_open()) {
- sync();
- opened = 0;
- if ( gzclose( file) == Z_OK)
- return this;
- }
- return (gzstreambuf*)0;
-}
-
-int gzstreambuf::underflow() { // used for input buffer only
- if ( gptr() && ( gptr() < egptr()))
- return * reinterpret_cast<unsigned char *>( gptr());
-
- if ( ! (mode & std::ios::in) || ! opened)
- return EOF;
- // Josuttis' implementation of inbuf
- int n_putback = gptr() - eback();
- if ( n_putback > 4)
- n_putback = 4;
- memcpy( buffer + (4 - n_putback), gptr() - n_putback, n_putback);
-
- int num = gzread( file, buffer+4, bufferSize-4);
- if (num <= 0) // ERROR or EOF
- return EOF;
-
- // reset buffer pointers
- setg( buffer + (4 - n_putback), // beginning of putback area
- buffer + 4, // read position
- buffer + 4 + num); // end of buffer
-
- // return next character
- return * reinterpret_cast<unsigned char *>( gptr());
-}
-
-int gzstreambuf::flush_buffer() {
- // Separate the writing of the buffer from overflow() and
- // sync() operation.
- int w = pptr() - pbase();
- if ( gzwrite( file, pbase(), w) != w)
- return EOF;
- pbump( -w);
- return w;
-}
-
-int gzstreambuf::overflow( int c) { // used for output buffer only
- if ( ! ( mode & std::ios::out) || ! opened)
- return EOF;
- if (c != EOF) {
- *pptr() = c;
- pbump(1);
- }
- if ( flush_buffer() == EOF)
- return EOF;
- return c;
-}
-
-int gzstreambuf::sync() {
- // Changed to use flush_buffer() instead of overflow( EOF)
- // which caused improper behavior with std::endl and flush(),
- // bug reported by Vincent Ricard.
- if ( pptr() && pptr() > pbase()) {
- if ( flush_buffer() == EOF)
- return -1;
- }
- return 0;
-}
-
-// --------------------------------------
-// class gzstreambase:
-// --------------------------------------
-
-gzstreambase::gzstreambase( const char* name, int mode) {
- init( &buf);
- open( name, mode);
-}
-
-gzstreambase::~gzstreambase() {
- buf.close();
-}
-
-void gzstreambase::open( const char* name, int open_mode) {
- if ( ! buf.open( name, open_mode))
- clear( rdstate() | std::ios::badbit);
-}
-
-void gzstreambase::close() {
- if ( buf.is_open())
- if ( ! buf.close())
- clear( rdstate() | std::ios::badbit);
-}
-
-#ifdef GZSTREAM_NAMESPACE
-} // namespace GZSTREAM_NAMESPACE
-#endif
-
-// ============================================================================
-// EOF //
diff --git a/gi/pyp-topics/src/gzstream.hh b/gi/pyp-topics/src/gzstream.hh
deleted file mode 100644
index ad9785fd..00000000
--- a/gi/pyp-topics/src/gzstream.hh
+++ /dev/null
@@ -1,121 +0,0 @@
-// ============================================================================
-// gzstream, C++ iostream classes wrapping the zlib compression library.
-// Copyright (C) 2001 Deepak Bandyopadhyay, Lutz Kettner
-//
-// This library is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 2.1 of the License, or (at your option) any later version.
-//
-// This library is distributed in the hope that it will be useful,
-// but WITHOUT ANY WARRANTY; without even the implied warranty of
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
-// Lesser General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License along with this library; if not, write to the Free Software
-// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-// ============================================================================
-//
-// File : gzstream.h
-// Revision : $Revision: 1.1 $
-// Revision_date : $Date: 2006/03/30 04:05:52 $
-// Author(s) : Deepak Bandyopadhyay, Lutz Kettner
-//
-// Standard streambuf implementation following Nicolai Josuttis, "The
-// Standard C++ Library".
-// ============================================================================
-
-#ifndef GZSTREAM_H
-#define GZSTREAM_H 1
-
-// standard C++ with new header file names and std:: namespace
-#include <iostream>
-#include <fstream>
-#include <zlib.h>
-
-#ifdef GZSTREAM_NAMESPACE
-namespace GZSTREAM_NAMESPACE {
-#endif
-
-// ----------------------------------------------------------------------------
-// Internal classes to implement gzstream. See below for user classes.
-// ----------------------------------------------------------------------------
-
-class gzstreambuf : public std::streambuf {
-private:
- static const int bufferSize = 47+256; // size of data buff
- // totals 512 bytes under g++ for igzstream at the end.
-
- gzFile file; // file handle for compressed file
- char buffer[bufferSize]; // data buffer
- char opened; // open/close state of stream
- int mode; // I/O mode
-
- int flush_buffer();
-public:
- gzstreambuf() : opened(0) {
- setp( buffer, buffer + (bufferSize-1));
- setg( buffer + 4, // beginning of putback area
- buffer + 4, // read position
- buffer + 4); // end position
- // ASSERT: both input & output capabilities will not be used together
- }
- int is_open() { return opened; }
- gzstreambuf* open( const char* name, int open_mode);
- gzstreambuf* close();
- ~gzstreambuf() { close(); }
-
- virtual int overflow( int c = EOF);
- virtual int underflow();
- virtual int sync();
-};
-
-class gzstreambase : virtual public std::ios {
-protected:
- gzstreambuf buf;
-public:
- gzstreambase() { init(&buf); }
- gzstreambase( const char* name, int open_mode);
- ~gzstreambase();
- void open( const char* name, int open_mode);
- void close();
- gzstreambuf* rdbuf() { return &buf; }
-};
-
-// ----------------------------------------------------------------------------
-// User classes. Use igzstream and ogzstream analogously to ifstream and
-// ofstream respectively. They read and write files based on the gz*
-// function interface of the zlib. Files are compatible with gzip compression.
-// ----------------------------------------------------------------------------
-
-class igzstream : public gzstreambase, public std::istream {
-public:
- igzstream() : std::istream( &buf) {}
- igzstream( const char* name, int open_mode = std::ios::in)
- : gzstreambase( name, open_mode), std::istream( &buf) {}
- gzstreambuf* rdbuf() { return gzstreambase::rdbuf(); }
- void open( const char* name, int open_mode = std::ios::in) {
- gzstreambase::open( name, open_mode);
- }
-};
-
-class ogzstream : public gzstreambase, public std::ostream {
-public:
- ogzstream() : std::ostream( &buf) {}
- ogzstream( const char* name, int mode = std::ios::out)
- : gzstreambase( name, mode), std::ostream( &buf) {}
- gzstreambuf* rdbuf() { return gzstreambase::rdbuf(); }
- void open( const char* name, int open_mode = std::ios::out) {
- gzstreambase::open( name, open_mode);
- }
-};
-
-#ifdef GZSTREAM_NAMESPACE
-} // namespace GZSTREAM_NAMESPACE
-#endif
-
-#endif // GZSTREAM_H
-// ============================================================================
-// EOF //
-
diff --git a/gi/pyp-topics/src/log_add.h b/gi/pyp-topics/src/log_add.h
deleted file mode 100644
index e0620c5a..00000000
--- a/gi/pyp-topics/src/log_add.h
+++ /dev/null
@@ -1,30 +0,0 @@
-#ifndef log_add_hh
-#define log_add_hh
-
-#include <limits>
-#include <iostream>
-#include <cassert>
-#include <cmath>
-
-template <typename T>
-struct Log
-{
- static T zero() { return -std::numeric_limits<T>::infinity(); }
-
- static T add(T l1, T l2)
- {
- if (l1 == zero()) return l2;
- if (l1 > l2)
- return l1 + std::log(1 + exp(l2 - l1));
- else
- return l2 + std::log(1 + exp(l1 - l2));
- }
-
- static T subtract(T l1, T l2)
- {
- //std::assert(l1 >= l2);
- return l1 + log(1 - exp(l2 - l1));
- }
-};
-
-#endif
diff --git a/gi/pyp-topics/src/macros.Linux b/gi/pyp-topics/src/macros.Linux
deleted file mode 100644
index 7c6e7fa7..00000000
--- a/gi/pyp-topics/src/macros.Linux
+++ /dev/null
@@ -1,18 +0,0 @@
-CC = /home/pblunsom/software/bin/mpicc
-CXX = /home/pblunsom/software/bin/mpicxx
-LD = /home/pblunsom/software/bin/mpicxx
-FC = /home/pblunsom/software/bin/mpif77
-
-SOFTWARE_DIR=/export/ws10smt/software
-
-CXXFLAGS = -Wall -I${SOFTWARE_DIR}/include
-CFLAGS = -Wall -I${SOFTWARE_DIR}/include
-FFLAGS = -Wall
-LDFLAGS = -lm -lz -L${SOFTWARE_DIR}/lib \
- -lboost_program_options -lboost_mpi -lboost_serialization \
- -lboost_regex -L../../../decoder -lcdec
-
-FFLAGS += -g -O6 -march=native
-CFLAGS += -g -O6 -march=native
-CXXFLAGS += -g -O6 -march=native
-LDFLAGS += -g -O6 -march=native
diff --git a/gi/pyp-topics/src/makefile.darwin b/gi/pyp-topics/src/makefile.darwin
deleted file mode 100644
index af608fd8..00000000
--- a/gi/pyp-topics/src/makefile.darwin
+++ /dev/null
@@ -1,15 +0,0 @@
-CC = /usr/bin/gcc
-CXX = /usr/bin/g++
-LD = /usr/bin/g++
-FC=/usr/bin/g77
-
-ARCH=i686-m64
-CXXFLAGS = -m64 -Wall -I/Users/pblunsom/packages/include
-CFLAGS = -m64 -Wall -I/Users/pblunsom/packages/include
-FFLAGS = -m64 -Wall
-LDFLAGS = -L/Users/pblunsom/packages/lib -lboost_program_options -lm -lz
-
-FFLAGS += -g -O3 -funroll-loops #-pg
-CFLAGS += -g -O3 -funroll-loops #-pg
-CXXFLAGS += -g -O3 -funroll-loops #-pg
-LDFLAGS += -g -O3 -funroll-loops #-pg
diff --git a/gi/pyp-topics/src/makefile.depend b/gi/pyp-topics/src/makefile.depend
deleted file mode 100644
index 9b8e306c..00000000
--- a/gi/pyp-topics/src/makefile.depend
+++ /dev/null
@@ -1,4042 +0,0 @@
-contexts_corpus.o: contexts_corpus.cc contexts_corpus.hh \
- /home/pblunsom/packages/include/boost/ptr_container/ptr_vector.hpp \
- /home/pblunsom/packages/include/boost/ptr_container/ptr_sequence_adapter.hpp \
- /home/pblunsom/packages/include/boost/ptr_container/detail/reversible_ptr_container.hpp \
- /home/pblunsom/packages/include/boost/ptr_container/detail/throw_exception.hpp \
- /home/pblunsom/packages/include/boost/assert.hpp \
- /home/pblunsom/packages/include/boost/config.hpp \
- /home/pblunsom/packages/include/boost/config/user.hpp \
- /home/pblunsom/packages/include/boost/config/select_compiler_config.hpp \
- /home/pblunsom/packages/include/boost/config/compiler/gcc.hpp \
- /home/pblunsom/packages/include/boost/config/select_stdlib_config.hpp \
- /home/pblunsom/packages/include/boost/config/no_tr1/utility.hpp \
- /home/pblunsom/packages/include/boost/config/stdlib/libstdcpp3.hpp \
- /home/pblunsom/packages/include/boost/config/select_platform_config.hpp \
- /home/pblunsom/packages/include/boost/config/platform/linux.hpp \
- /home/pblunsom/packages/include/boost/config/posix_features.hpp \
- /home/pblunsom/packages/include/boost/config/suffix.hpp \
- /home/pblunsom/packages/include/boost/ptr_container/detail/scoped_deleter.hpp \
- /home/pblunsom/packages/include/boost/scoped_array.hpp \
- /home/pblunsom/packages/include/boost/smart_ptr/scoped_array.hpp \
- /home/pblunsom/packages/include/boost/checked_delete.hpp \
- /home/pblunsom/packages/include/boost/detail/workaround.hpp \
- /home/pblunsom/packages/include/boost/smart_ptr/detail/operator_bool.hpp \
- /home/pblunsom/packages/include/boost/ptr_container/detail/static_move_ptr.hpp \
- /home/pblunsom/packages/include/boost/compressed_pair.hpp \
- /home/pblunsom/packages/include/boost/detail/compressed_pair.hpp \
- /home/pblunsom/packages/include/boost/type_traits/remove_cv.hpp \
- /home/pblunsom/packages/include/boost/type_traits/broken_compiler_spec.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/lambda_support.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/lambda.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/ttp.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/msvc.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/gcc.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/workaround.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/ctps.hpp \
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- /home/pblunsom/packages/include/boost/type_traits/detail/type_trait_def.hpp \
- /home/pblunsom/packages/include/boost/type_traits/detail/template_arity_spec.hpp \
- /home/pblunsom/packages/include/boost/mpl/int.hpp \
- /home/pblunsom/packages/include/boost/mpl/int_fwd.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/adl_barrier.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/adl.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/intel.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/nttp_decl.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/nttp.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/integral_wrapper.hpp \
- /home/pblunsom/packages/include/boost/mpl/integral_c_tag.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/static_constant.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/static_cast.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/cat.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/config/config.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/template_arity_fwd.hpp \
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- /home/pblunsom/packages/include/boost/mpl/aux_/config/preprocessor.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/comma_if.hpp \
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- /home/pblunsom/packages/include/boost/preprocessor/control/if.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/control/iif.hpp \
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- /home/pblunsom/packages/include/boost/preprocessor/facilities/empty.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/punctuation/comma.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/repeat.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/repetition/repeat.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/debug/error.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/detail/auto_rec.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/tuple/eat.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/inc.hpp \
- /home/pblunsom/packages/include/boost/preprocessor/arithmetic/inc.hpp \
- /home/pblunsom/packages/include/boost/mpl/aux_/config/overload_resolution.hpp \
- /home/pblunsom/packages/include/boost/type_traits/detail/type_trait_undef.hpp \
- /home/pblunsom/packages/include/boost/type_traits/is_empty.hpp \
- /home/pblunsom/packages/include/boost/type_traits/is_convertible.hpp \
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- /home/pblunsom/packages/include/boost/type_traits/is_volatile.hpp \
- /home/pblunsom/packages/include/boost/type_traits/detail/yes_no_type.hpp \
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- /home/pblunsom/packages/include/boost/functional/hash/hash_fwd.hpp \
- /home/pblunsom/packages/include/boost/functional/hash/detail/hash_float.hpp \
- /home/pblunsom/packages/include/boost/functional/hash/detail/float_functions.hpp \
- /home/pblunsom/packages/include/boost/functional/hash/detail/limits.hpp \
- /home/pblunsom/packages/include/boost/integer/static_log2.hpp \
- /home/pblunsom/packages/include/boost/functional/hash/detail/hash_float_generic.hpp \
- /home/pblunsom/packages/include/boost/functional/hash/extensions.hpp \
- /home/pblunsom/packages/include/boost/detail/container_fwd.hpp \
- ../../../decoder/wordid.h gzstream.hh
-clock_gettime_stub.o: clock_gettime_stub.c
-gammadist.o: gammadist.c gammadist.h mt19937ar.h
-mt19937ar.o: mt19937ar.c mt19937ar.h
diff --git a/gi/pyp-topics/src/mpi-corpus.hh b/gi/pyp-topics/src/mpi-corpus.hh
deleted file mode 100644
index f5c478a9..00000000
--- a/gi/pyp-topics/src/mpi-corpus.hh
+++ /dev/null
@@ -1,69 +0,0 @@
-#ifndef _MPI_CORPUS_HH
-#define _MPI_CORPUS_HH
-
-#include <vector>
-#include <string>
-#include <map>
-#include <tr1/unordered_map>
-
-#include <boost/ptr_container/ptr_vector.hpp>
-#include <boost/mpi/environment.hpp>
-#include <boost/mpi/communicator.hpp>
-
-#include "contexts_corpus.hh"
-
-
-////////////////////////////////////////////////////////////////
-// MPICorpus
-////////////////////////////////////////////////////////////////
-
-class MPICorpus : public ContextsCorpus {
-public:
- MPICorpus() : ContextsCorpus() {
- boost::mpi::communicator world;
- m_rank = world.rank();
- m_size = world.size();
- m_start = -1;
- m_end = -1;
- }
- virtual ~MPICorpus() {}
-
- virtual unsigned read_contexts(const std::string &filename,
- BackoffGenerator* backoff_gen=0,
- bool filter_singeltons=false,
- bool binary_contexts=false) {
- unsigned result = ContextsCorpus::read_contexts(filename, backoff_gen, filter_singeltons, binary_contexts);
-
- if (m_rank == 0) std::cerr << "\tLoad balancing terms per mpi segment:" << std::endl;
- float segment_size = num_terms() / m_size;
- float term_threshold = segment_size;
- int seen_terms = 0;
- std::vector<int> end_points;
- for (int i=0; i < num_documents(); ++i) {
- seen_terms += m_documents.at(i).size();
- if (seen_terms >= term_threshold) {
- end_points.push_back(i+1);
- term_threshold += segment_size;
- if (m_rank == 0) std::cerr << "\t\t" << i+1 << ": " << seen_terms << " terms, " << 100*seen_terms / (float)num_terms() << "%" << std::endl;
- }
- }
- m_start = (m_rank == 0 ? 0 : end_points.at(m_rank-1));
- m_end = (m_rank == m_size-1 ? num_documents() : end_points.at(m_rank));
-
- return result;
- }
-
- void
- bounds(int* start, int* end) const {
- *start = m_start;
- *end = m_end;
- }
-
-
-
-protected:
- int m_rank, m_size;
- int m_start, m_end;
-};
-
-#endif // _MPI_CORPUS_HH
diff --git a/gi/pyp-topics/src/mpi-pyp-topics.cc b/gi/pyp-topics/src/mpi-pyp-topics.cc
deleted file mode 100644
index d6e22af6..00000000
--- a/gi/pyp-topics/src/mpi-pyp-topics.cc
+++ /dev/null
@@ -1,466 +0,0 @@
-#include <boost/mpi/communicator.hpp>
-
-#include "timing.h"
-#include "mpi-pyp-topics.hh"
-
-//#include <boost/date_time/posix_time/posix_time_types.hpp>
-void MPIPYPTopics::sample_corpus(const MPICorpus& corpus, int samples,
- int freq_cutoff_start, int freq_cutoff_end,
- int freq_cutoff_interval,
- int max_contexts_per_document) {
- Timer timer;
-
- //int documents = corpus.num_documents();
- /*
- m_mpi_start = 0;
- m_mpi_end = documents;
- if (m_size != 1) {
- assert(documents < std::numeric_limits<int>::max());
- m_mpi_start = (documents / m_size) * m_rank;
- if (m_rank == m_size-1) m_mpi_end = documents;
- else m_mpi_end = (documents / m_size)*(m_rank+1);
- }
- */
- corpus.bounds(&m_mpi_start, &m_mpi_end);
- int local_documents = m_mpi_end - m_mpi_start;
-
- if (!m_backoff.get()) {
- m_word_pyps.clear();
- m_word_pyps.push_back(MPIPYPs());
- }
-
- if (m_am_root) std::cerr << "\n Training with " << m_word_pyps.size()-1 << " backoff level"
- << (m_word_pyps.size()>1 ? ":" : "s:") << std::endl;
-
- for (int i=0; i<(int)m_word_pyps.size(); ++i) {
- m_word_pyps.at(i).reserve(m_num_topics);
- for (int j=0; j<m_num_topics; ++j)
- m_word_pyps.at(i).push_back(new MPIPYP<int>(0.5, 1.0));
- }
- if (m_am_root) std::cerr << std::endl;
-
- m_document_pyps.reserve(local_documents);
- //m_document_pyps.reserve(corpus.num_documents());
- //for (int j=0; j<corpus.num_documents(); ++j)
- for (int j=0; j<local_documents; ++j)
- m_document_pyps.push_back(new PYP<int>(0.5, 1.0));
-
- m_topic_p0 = 1.0/m_num_topics;
- m_term_p0 = 1.0/corpus.num_types();
- m_backoff_p0 = 1.0/corpus.num_documents();
-
- if (m_am_root) std::cerr << " Documents: " << corpus.num_documents() << "("
- << local_documents << ")" << " Terms: " << corpus.num_types() << std::endl;
-
- int frequency_cutoff = freq_cutoff_start;
- if (m_am_root) std::cerr << " Context frequency cutoff set to " << frequency_cutoff << std::endl;
-
- timer.Reset();
- // Initialisation pass
- int document_id=0, topic_counter=0;
- for (int i=0; i<local_documents; ++i) {
- document_id = i+m_mpi_start;
-
- //for (Corpus::const_iterator corpusIt=corpus.begin();
- // corpusIt != corpus.end(); ++corpusIt, ++document_id) {
- m_corpus_topics.push_back(DocumentTopics(corpus.at(document_id).size(), 0));
-
- int term_index=0;
- for (Document::const_iterator docIt=corpus.at(document_id).begin();
- docIt != corpus.at(document_id).end(); ++docIt, ++term_index) {
- topic_counter++;
- Term term = *docIt;
-
- // sample a new_topic
- //int new_topic = (topic_counter % m_num_topics);
- int freq = corpus.context_count(term);
- int new_topic = -1;
- if (freq > frequency_cutoff
- && (!max_contexts_per_document || term_index < max_contexts_per_document)) {
- new_topic = sample(i, term);
- //new_topic = document_id % m_num_topics;
-
- // add the new topic to the PYPs
- increment(term, new_topic);
-
- if (m_use_topic_pyp) {
- F p0 = m_topic_pyp.prob(new_topic, m_topic_p0);
- int table_delta = m_document_pyps.at(i).increment(new_topic, p0);
- if (table_delta)
- m_topic_pyp.increment(new_topic, m_topic_p0, rnd);
- }
- else m_document_pyps.at(i).increment(new_topic, m_topic_p0);
- }
-
- m_corpus_topics.at(i).at(term_index) = new_topic;
- }
- }
-
- // Synchronise the topic->word counds across the processes.
- synchronise();
-
- if (m_am_root) std::cerr << " Initialized in " << timer.Elapsed() << " seconds\n";
-
- int* randomDocIndices = new int[local_documents];
- for (int i = 0; i < local_documents; ++i)
- randomDocIndices[i] = i;
-
- // Sampling phase
- for (int curr_sample=0; curr_sample < samples; ++curr_sample) {
- if (freq_cutoff_interval > 0 && curr_sample != 1
- && curr_sample % freq_cutoff_interval == 1
- && frequency_cutoff > freq_cutoff_end) {
- frequency_cutoff--;
- if (m_am_root) std::cerr << "\n Context frequency cutoff set to " << frequency_cutoff << std::endl;
- }
-
- if (m_am_root) std::cerr << "\n -- Sample " << curr_sample << " "; std::cerr.flush();
-
- // Randomize the corpus indexing array
- int tmp;
- int processed_terms=0;
- for (int i = (local_documents-1); i > 0; --i) {
- //i+1 since j \in [0,i] but rnd() \in [0,1)
- int j = (int)(rnd() * (i+1));
- assert(j >= 0 && j <= i);
- tmp = randomDocIndices[i];
- randomDocIndices[i] = randomDocIndices[j];
- randomDocIndices[j] = tmp;
- }
-
- // for each document in the corpus
- for (int rand_doc=0; rand_doc<local_documents; ++rand_doc) {
- int doc_index = randomDocIndices[rand_doc];
- int document_id = doc_index + m_mpi_start;
- const Document& doc = corpus.at(document_id);
-
- // for each term in the document
- int term_index=0;
- Document::const_iterator docEnd = doc.end();
- for (Document::const_iterator docIt=doc.begin();
- docIt != docEnd; ++docIt, ++term_index) {
-
- if (max_contexts_per_document && term_index > max_contexts_per_document)
- break;
-
- Term term = *docIt;
- int freq = corpus.context_count(term);
- if (freq < frequency_cutoff)
- continue;
-
- processed_terms++;
-
- // remove the prevous topic from the PYPs
- int current_topic = m_corpus_topics.at(doc_index).at(term_index);
- // a negative label mean that term hasn't been sampled yet
- if (current_topic >= 0) {
- decrement(term, current_topic);
-
- int table_delta = m_document_pyps.at(doc_index).decrement(current_topic);
- if (m_use_topic_pyp && table_delta < 0)
- m_topic_pyp.decrement(current_topic, rnd);
- }
-
- // sample a new_topic
- int new_topic = sample(doc_index, term);
-
- // add the new topic to the PYPs
- m_corpus_topics.at(doc_index).at(term_index) = new_topic;
- increment(term, new_topic);
-
- if (m_use_topic_pyp) {
- F p0 = m_topic_pyp.prob(new_topic, m_topic_p0);
- int table_delta = m_document_pyps.at(doc_index).increment(new_topic, p0);
- if (table_delta)
- m_topic_pyp.increment(new_topic, m_topic_p0, rnd);
- }
- else m_document_pyps.at(doc_index).increment(new_topic, m_topic_p0);
- }
- if (document_id && document_id % 10000 == 0) {
- if (m_am_root) std::cerr << "."; std::cerr.flush();
- }
- }
- std::cerr << "|"; std::cerr.flush();
-
- // Synchronise the topic->word counds across the processes.
- synchronise();
-
- if (m_am_root) std::cerr << " ||| sampled " << processed_terms << " terms.";
-
- if (curr_sample != 0 && curr_sample % 10 == 0) {
- if (m_am_root) std::cerr << " ||| time=" << (timer.Elapsed() / 10.0) << " sec/sample" << std::endl;
- timer.Reset();
- if (m_am_root) std::cerr << " ... Resampling hyperparameters"; std::cerr.flush();
-
- // resample the hyperparamters
- F log_p=0.0;
- for (std::vector<MPIPYPs>::iterator levelIt=m_word_pyps.begin();
- levelIt != m_word_pyps.end(); ++levelIt) {
- for (MPIPYPs::iterator pypIt=levelIt->begin();
- pypIt != levelIt->end(); ++pypIt) {
- pypIt->resample_prior(rnd);
- log_p += pypIt->log_restaurant_prob();
- }
- }
-
- for (PYPs::iterator pypIt=m_document_pyps.begin();
- pypIt != m_document_pyps.end(); ++pypIt) {
- pypIt->resample_prior(rnd);
- log_p += pypIt->log_restaurant_prob();
- }
-
- if (m_use_topic_pyp) {
- m_topic_pyp.resample_prior(rnd);
- log_p += m_topic_pyp.log_restaurant_prob();
- }
-
- std::cerr.precision(10);
- if (m_am_root) std::cerr << " ||| LLH=" << log_p << " ||| resampling time=" << timer.Elapsed() << " sec" << std::endl;
- timer.Reset();
-
- int k=0;
- if (m_am_root) std::cerr << "Topics distribution: ";
- std::cerr.precision(2);
- for (MPIPYPs::iterator pypIt=m_word_pyps.front().begin();
- pypIt != m_word_pyps.front().end(); ++pypIt, ++k) {
- if (m_am_root && k % 5 == 0) std::cerr << std::endl << '\t';
- if (m_am_root) std::cerr << "<" << k << ":" << pypIt->num_customers() << ","
- << pypIt->num_types() << "," << m_topic_pyp.prob(k, m_topic_p0) << "> ";
- }
- std::cerr.precision(4);
- if (m_am_root) std::cerr << std::endl;
- }
- }
- delete [] randomDocIndices;
-}
-
-void MPIPYPTopics::synchronise() {
- // Synchronise the topic->word counds across the processes.
- //for (std::vector<MPIPYPs>::iterator levelIt=m_word_pyps.begin();
- // levelIt != m_word_pyps.end(); ++levelIt) {
-// std::vector<MPIPYPs>::iterator levelIt=m_word_pyps.begin();
-// {
-// for (MPIPYPs::iterator pypIt=levelIt->begin(); pypIt != levelIt->end(); ++pypIt) {
- for (size_t label=0; label < m_word_pyps.at(0).size(); ++label) {
- MPIPYP<int>& pyp = m_word_pyps.at(0).at(label);
-
- //if (!m_am_root) boost::mpi::communicator().barrier();
- //std::cerr << "Before Sync Process " << m_rank << ":";
- //pyp.debug_info(std::cerr); std::cerr << std::endl;
- //if (m_am_root) boost::mpi::communicator().barrier();
-
- MPIPYP<int>::dish_delta_type delta;
- pyp.synchronise(&delta);
-
- for (MPIPYP<int>::dish_delta_type::const_iterator it=delta.begin(); it != delta.end(); ++it) {
- int count = it->second;
- if (count > 0)
- for (int i=0; i < count; ++i) increment(it->first, label);
- if (count < 0)
- for (int i=0; i > count; --i) decrement(it->first, label);
- }
- pyp.reset_deltas();
-
- //if (!m_am_root) boost::mpi::communicator().barrier();
- //std::cerr << "After Sync Process " << m_rank << ":";
- //pyp.debug_info(std::cerr); std::cerr << std::endl;
- //if (m_am_root) boost::mpi::communicator().barrier();
- }
-// }
- // Synchronise the hierarchical topic pyp
- MPIPYP<int>::dish_delta_type topic_delta;
- m_topic_pyp.synchronise(&topic_delta);
- for (MPIPYP<int>::dish_delta_type::const_iterator it=topic_delta.begin(); it != topic_delta.end(); ++it) {
- int count = it->second;
- if (count > 0)
- for (int i=0; i < count; ++i)
- m_topic_pyp.increment(it->first, m_topic_p0, rnd);
- if (count < 0)
- for (int i=0; i > count; --i)
- m_topic_pyp.decrement(it->first, rnd);
- }
- m_topic_pyp.reset_deltas();
-}
-
-void MPIPYPTopics::decrement(const Term& term, int topic, int level) {
- //std::cerr << "MPIPYPTopics::decrement(" << term << "," << topic << "," << level << ")" << std::endl;
- m_word_pyps.at(level).at(topic).decrement(term, rnd);
- if (m_backoff.get()) {
- Term backoff_term = (*m_backoff)[term];
- if (!m_backoff->is_null(backoff_term))
- decrement(backoff_term, topic, level+1);
- }
-}
-
-void MPIPYPTopics::increment(const Term& term, int topic, int level) {
- //std::cerr << "MPIPYPTopics::increment(" << term << "," << topic << "," << level << ")" << std::endl;
- m_word_pyps.at(level).at(topic).increment(term, word_pyps_p0(term, topic, level), rnd);
-
- if (m_backoff.get()) {
- Term backoff_term = (*m_backoff)[term];
- if (!m_backoff->is_null(backoff_term))
- increment(backoff_term, topic, level+1);
- }
-}
-
-int MPIPYPTopics::sample(const DocumentId& doc, const Term& term) {
- // First pass: collect probs
- F sum=0.0;
- std::vector<F> sums;
- for (int k=0; k<m_num_topics; ++k) {
- F p_w_k = prob(term, k);
-
- F topic_prob = m_topic_p0;
- if (m_use_topic_pyp) topic_prob = m_topic_pyp.prob(k, m_topic_p0);
-
- //F p_k_d = m_document_pyps[doc].prob(k, topic_prob);
- F p_k_d = m_document_pyps.at(doc).unnormalised_prob(k, topic_prob);
-
- sum += (p_w_k*p_k_d);
- sums.push_back(sum);
- }
- // Second pass: sample a topic
- F cutoff = rnd() * sum;
- for (int k=0; k<m_num_topics; ++k) {
- if (cutoff <= sums[k])
- return k;
- }
- std::cerr << cutoff << " " << sum << std::endl;
- assert(false);
-}
-
-MPIPYPTopics::F MPIPYPTopics::word_pyps_p0(const Term& term, int topic, int level) const {
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "MPIPYPTopics::word_pyps_p0(" << term << "," << topic << "," << level << ")" << std::endl;
-
- F p0 = m_term_p0;
- if (m_backoff.get()) {
- //static F fudge=m_backoff_p0; // TODO
-
- Term backoff_term = (*m_backoff)[term];
- if (!m_backoff->is_null(backoff_term)) {
- assert (level < m_backoff->order());
- //p0 = (1.0/(double)m_backoff->terms_at_level(level))*prob(backoff_term, topic, level+1);
- p0 = prob(backoff_term, topic, level+1);
- }
- else
- p0 = m_term_p0;
- }
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "MPIPYPTopics::word_pyps_p0(" << term << "," << topic << "," << level << ") = " << p0 << std::endl;
- return p0;
-}
-
-MPIPYPTopics::F MPIPYPTopics::prob(const Term& term, int topic, int level) const {
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "MPIPYPTopics::prob(" << term << "," << topic << "," << level << " " << factor << ")" << std::endl;
-
- F p0 = word_pyps_p0(term, topic, level);
- F p_w_k = m_word_pyps.at(level).at(topic).prob(term, p0);
-
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "MPIPYPTopics::prob(" << term << "," << topic << "," << level << ") = " << p_w_k << std::endl;
-
- return p_w_k;
-}
-
-int MPIPYPTopics::max_topic() const {
- if (!m_use_topic_pyp)
- return -1;
-
- F current_max=0.0;
- int current_topic=-1;
- for (int k=0; k<m_num_topics; ++k) {
- F prob = m_topic_pyp.prob(k, m_topic_p0);
- if (prob > current_max) {
- current_max = prob;
- current_topic = k;
- }
- }
- assert(current_topic >= 0);
- assert(current_max >= 0);
- return current_max;
-}
-
-std::pair<int,MPIPYPTopics::F> MPIPYPTopics::max(const DocumentId& true_doc) const {
- //std::cerr << "MPIPYPTopics::max(" << doc << "," << term << ")" << std::endl;
- // collect probs
- F current_max=0.0;
- DocumentId local_doc = true_doc - m_mpi_start;
- int current_topic=-1;
- for (int k=0; k<m_num_topics; ++k) {
- //F p_w_k = prob(term, k);
-
- F topic_prob = m_topic_p0;
- if (m_use_topic_pyp)
- topic_prob = m_topic_pyp.prob(k, m_topic_p0);
-
- F prob = 0;
- if (local_doc < 0) prob = topic_prob;
- else prob = m_document_pyps.at(local_doc).prob(k, topic_prob);
-
- if (prob > current_max) {
- current_max = prob;
- current_topic = k;
- }
- }
- assert(current_topic >= 0);
- assert(current_max >= 0);
- return std::make_pair(current_topic, current_max);
-}
-
-std::pair<int,MPIPYPTopics::F> MPIPYPTopics::max(const DocumentId& true_doc, const Term& term) const {
- //std::cerr << "MPIPYPTopics::max(" << doc << "," << term << ")" << std::endl;
- // collect probs
- F current_max=0.0;
- DocumentId local_doc = true_doc - m_mpi_start;
- int current_topic=-1;
- for (int k=0; k<m_num_topics; ++k) {
- F p_w_k = prob(term, k);
-
- F topic_prob = m_topic_p0;
- if (m_use_topic_pyp)
- topic_prob = m_topic_pyp.prob(k, m_topic_p0);
-
- F p_k_d = 0;
- if (local_doc < 0) p_k_d = topic_prob;
- else p_k_d = m_document_pyps.at(local_doc).prob(k, topic_prob);
-
- F prob = (p_w_k*p_k_d);
- if (prob > current_max) {
- current_max = prob;
- current_topic = k;
- }
- }
- assert(current_topic >= 0);
- assert(current_max >= 0);
- return std::make_pair(current_topic, current_max);
-}
-
-std::ostream& MPIPYPTopics::print_document_topics(std::ostream& out) const {
- for (CorpusTopics::const_iterator corpusIt=m_corpus_topics.begin();
- corpusIt != m_corpus_topics.end(); ++corpusIt) {
- int term_index=0;
- for (DocumentTopics::const_iterator docIt=corpusIt->begin();
- docIt != corpusIt->end(); ++docIt, ++term_index) {
- if (term_index) out << " ";
- out << *docIt;
- }
- out << std::endl;
- }
- return out;
-}
-
-std::ostream& MPIPYPTopics::print_topic_terms(std::ostream& out) const {
- for (PYPs::const_iterator pypsIt=m_word_pyps.front().begin();
- pypsIt != m_word_pyps.front().end(); ++pypsIt) {
- int term_index=0;
- for (PYP<int>::const_iterator termIt=pypsIt->begin();
- termIt != pypsIt->end(); ++termIt, ++term_index) {
- if (term_index) out << " ";
- out << termIt->first << ":" << termIt->second;
- }
- out << std::endl;
- }
- return out;
-}
diff --git a/gi/pyp-topics/src/mpi-pyp-topics.hh b/gi/pyp-topics/src/mpi-pyp-topics.hh
deleted file mode 100644
index d96bc4e5..00000000
--- a/gi/pyp-topics/src/mpi-pyp-topics.hh
+++ /dev/null
@@ -1,106 +0,0 @@
-#ifndef MPI_PYP_TOPICS_HH
-#define MPI_PYP_TOPICS_HH
-
-#include <vector>
-#include <iostream>
-
-#include <boost/ptr_container/ptr_vector.hpp>
-#include <boost/random/uniform_real.hpp>
-#include <boost/random/variate_generator.hpp>
-#include <boost/random/mersenne_twister.hpp>
-#include <boost/random/inversive_congruential.hpp>
-#include <boost/random/linear_congruential.hpp>
-#include <boost/random/lagged_fibonacci.hpp>
-#include <boost/mpi/environment.hpp>
-#include <boost/mpi/communicator.hpp>
-
-
-#include "mpi-pyp.hh"
-#include "mpi-corpus.hh"
-
-class MPIPYPTopics {
-public:
- typedef std::vector<int> DocumentTopics;
- typedef std::vector<DocumentTopics> CorpusTopics;
- typedef double F;
-
-public:
- MPIPYPTopics(int num_topics, bool use_topic_pyp=false, unsigned long seed = 0)
- : m_num_topics(num_topics), m_word_pyps(1),
- m_topic_pyp(0.5,1.0), m_use_topic_pyp(use_topic_pyp),
- m_seed(seed),
- uni_dist(0,1), rng(seed == 0 ? (unsigned long)this : seed),
- rnd(rng, uni_dist), m_mpi_start(-1), m_mpi_end(-1) {
- boost::mpi::communicator m_world;
- m_rank = m_world.rank();
- m_size = m_world.size();
- m_am_root = (m_rank == 0);
- }
-
- void sample_corpus(const MPICorpus& corpus, int samples,
- int freq_cutoff_start=0, int freq_cutoff_end=0,
- int freq_cutoff_interval=0,
- int max_contexts_per_document=0);
-
- int sample(const DocumentId& doc, const Term& term);
- std::pair<int,F> max(const DocumentId& doc, const Term& term) const;
- std::pair<int,F> max(const DocumentId& doc) const;
- int max_topic() const;
-
- void set_backoff(const std::string& filename) {
- m_backoff.reset(new TermBackoff);
- m_backoff->read(filename);
- m_word_pyps.clear();
- m_word_pyps.resize(m_backoff->order(), MPIPYPs());
- }
- void set_backoff(TermBackoffPtr backoff) {
- m_backoff = backoff;
- m_word_pyps.clear();
- m_word_pyps.resize(m_backoff->order(), MPIPYPs());
- }
-
- F prob(const Term& term, int topic, int level=0) const;
- void decrement(const Term& term, int topic, int level=0);
- void increment(const Term& term, int topic, int level=0);
-
- std::ostream& print_document_topics(std::ostream& out) const;
- std::ostream& print_topic_terms(std::ostream& out) const;
-
- void synchronise();
-
-private:
- F word_pyps_p0(const Term& term, int topic, int level) const;
-
- int m_num_topics;
- F m_term_p0, m_topic_p0, m_backoff_p0;
-
- CorpusTopics m_corpus_topics;
- typedef boost::ptr_vector< PYP<int> > PYPs;
- typedef boost::ptr_vector< MPIPYP<int> > MPIPYPs;
- PYPs m_document_pyps;
- std::vector<MPIPYPs> m_word_pyps;
- MPIPYP<int> m_topic_pyp;
- bool m_use_topic_pyp;
-
- unsigned long m_seed;
-
- //typedef boost::mt19937 base_generator_type;
- //typedef boost::hellekalek1995 base_generator_type;
- typedef boost::lagged_fibonacci607 base_generator_type;
- typedef boost::uniform_real<> uni_dist_type;
- typedef boost::variate_generator<base_generator_type&, uni_dist_type> gen_type;
-
- uni_dist_type uni_dist;
- base_generator_type rng; //this gets the seed
- gen_type rnd; //instantiate: rnd(rng, uni_dist)
- //call: rnd() generates uniform on [0,1)
-
- TermBackoffPtr m_backoff;
-
- boost::mpi::communicator m_world;
- bool m_am_root;
- int m_rank, m_size;
- int m_mpi_start, m_mpi_end;
-};
-
-#endif // PYP_TOPICS_HH
diff --git a/gi/pyp-topics/src/mpi-pyp.hh b/gi/pyp-topics/src/mpi-pyp.hh
deleted file mode 100644
index c2341b9e..00000000
--- a/gi/pyp-topics/src/mpi-pyp.hh
+++ /dev/null
@@ -1,447 +0,0 @@
-#ifndef _mpipyp_hh
-#define _mpipyp_hh
-
-#include <math.h>
-#include <map>
-#include <tr1/unordered_map>
-//#include <google/sparse_hash_map>
-
-#include <boost/random/uniform_real.hpp>
-#include <boost/random/variate_generator.hpp>
-#include <boost/random/mersenne_twister.hpp>
-#include <boost/tuple/tuple.hpp>
-#include <boost/serialization/map.hpp>
-#include <boost/mpi.hpp>
-#include <boost/mpi/environment.hpp>
-#include <boost/mpi/communicator.hpp>
-#include <boost/mpi/operations.hpp>
-
-
-#include "pyp.hh"
-
-//
-// Pitman-Yor process with customer and table tracking
-//
-
-template <typename Dish, typename Hash=std::tr1::hash<Dish> >
-class MPIPYP : public PYP<Dish, Hash> {
-public:
- typedef std::map<Dish, int> dish_delta_type;
-
- MPIPYP(double a, double b, Hash hash=Hash());
-
- template < typename Uniform01 >
- int increment(Dish d, double p0, Uniform01& rnd);
- template < typename Uniform01 >
- int decrement(Dish d, Uniform01& rnd);
-
- void clear();
- void reset_deltas();
-
- void synchronise(dish_delta_type* result);
-
-private:
- typedef std::map<Dish, typename PYP<Dish,Hash>::TableCounter> table_delta_type;
-
- dish_delta_type m_count_delta;
- table_delta_type m_table_delta;
-};
-
-template <typename Dish, typename Hash>
-MPIPYP<Dish,Hash>::MPIPYP(double a, double b, Hash h)
-: PYP<Dish,Hash>(a, b, 0, h) {}
-
-template <typename Dish, typename Hash>
- template <typename Uniform01>
-int
-MPIPYP<Dish,Hash>::increment(Dish dish, double p0, Uniform01& rnd) {
- //std::cerr << "-----INCREMENT DISH " << dish << std::endl;
- int delta = 0;
- int table_joined=-1;
- typename PYP<Dish,Hash>::TableCounter &tc = PYP<Dish,Hash>::_dish_tables[dish];
-
- // seated on a new or existing table?
- int c = PYP<Dish,Hash>::count(dish);
- int t = PYP<Dish,Hash>::num_tables(dish);
- int T = PYP<Dish,Hash>::num_tables();
- double& a = PYP<Dish,Hash>::_a;
- double& b = PYP<Dish,Hash>::_b;
- double pshare = (c > 0) ? (c - a*t) : 0.0;
- double pnew = (b + a*T) * p0;
- if (pshare < 0.0) {
- std::cerr << pshare << " " << c << " " << a << " " << t << std::endl;
- assert(false);
- }
-
- if (rnd() < pnew / (pshare + pnew)) {
- // assign to a new table
- tc.tables += 1;
- tc.table_histogram[1] += 1;
- PYP<Dish,Hash>::_total_tables += 1;
- delta = 1;
- table_joined = 1;
- }
- else {
- // randomly assign to an existing table
- // remove constant denominator from inner loop
- double r = rnd() * (c - a*t);
- for (std::map<int,int>::iterator
- hit = tc.table_histogram.begin();
- hit != tc.table_histogram.end(); ++hit) {
- r -= ((hit->first - a) * hit->second);
- if (r <= 0) {
- tc.table_histogram[hit->first+1] += 1;
- hit->second -= 1;
- table_joined = hit->first+1;
- if (hit->second == 0)
- tc.table_histogram.erase(hit);
- break;
- }
- }
- if (r > 0) {
- std::cerr << r << " " << c << " " << a << " " << t << std::endl;
- assert(false);
- }
- delta = 0;
- }
-
- std::tr1::unordered_map<Dish,int,Hash>::operator[](dish) += 1;
- //google::sparse_hash_map<Dish,int,Hash>::operator[](dish) += 1;
- PYP<Dish,Hash>::_total_customers += 1;
-
- // MPI Delta handling
- // track the customer entering
- typename dish_delta_type::iterator customer_it;
- bool customer_insert_result;
- boost::tie(customer_it, customer_insert_result)
- = m_count_delta.insert(std::make_pair(dish,0));
-
- customer_it->second += 1;
- if (customer_it->second == 0)
- m_count_delta.erase(customer_it);
-
- // increment the histogram bar for the table joined
- /*
- typename PYP<Dish,Hash>::TableCounter &delta_tc = m_table_delta[dish];
-
- std::map<int,int> &histogram = delta_tc.table_histogram;
- assert (table_joined > 0);
-
- typename std::map<int,int>::iterator table_it; bool table_insert_result;
- boost::tie(table_it, table_insert_result) = histogram.insert(std::make_pair(table_joined,0));
- table_it->second += 1;
- if (delta == 0) {
- // decrement the histogram bar for the table left
- typename std::map<int,int>::iterator left_table_it;
- boost::tie(left_table_it, table_insert_result)
- = histogram.insert(std::make_pair(table_joined-1,0));
- left_table_it->second -= 1;
- if (left_table_it->second == 0) histogram.erase(left_table_it);
- }
- else delta_tc.tables += 1;
-
- if (table_it->second == 0) histogram.erase(table_it);
-
- //std::cerr << "Added (" << delta << ") " << dish << " to table " << table_joined << "\n";
- //std::cerr << "Dish " << dish << " has " << count(dish) << " customers, and is sitting at " << PYP<Dish,Hash>::num_tables(dish) << " tables.\n";
- //for (std::map<int,int>::const_iterator
- // hit = delta_tc.table_histogram.begin();
- // hit != delta_tc.table_histogram.end(); ++hit) {
- // std::cerr << " " << hit->second << " tables with " << hit->first << " customers." << std::endl;
- //}
- //std::cerr << "Added (" << delta << ") " << dish << " to table " << table_joined << "\n";
- //std::cerr << "Dish " << dish << " has " << count(dish) << " customers, and is sitting at " << PYP<Dish,Hash>::num_tables(dish) << " tables.\n";
- int x_num_customers=0, x_num_table=0;
- for (std::map<int,int>::const_iterator
- hit = delta_tc.table_histogram.begin();
- hit != delta_tc.table_histogram.end(); ++hit) {
- x_num_table += hit->second;
- x_num_customers += (hit->second*hit->first);
- }
- int tmp_c = PYP<Dish,Hash>::count(dish);
- int tmp_t = PYP<Dish,Hash>::num_tables(dish);
- assert (x_num_customers <= tmp_c);
- assert (x_num_table <= tmp_t);
-
- if (delta_tc.table_histogram.empty()) {
- assert (delta_tc.tables == 0);
- m_table_delta.erase(dish);
- }
- */
-
- //PYP<Dish,Hash>::debug_info(std::cerr);
- //std::cerr << " Dish " << dish << " has count " << PYP<Dish,Hash>::count(dish) << " tables " << PYP<Dish,Hash>::num_tables(dish) << std::endl;
-
- return delta;
-}
-
-template <typename Dish, typename Hash>
- template <typename Uniform01>
-int
-MPIPYP<Dish,Hash>::decrement(Dish dish, Uniform01& rnd)
-{
- //std::cerr << "-----DECREMENT DISH " << dish << std::endl;
- typename std::tr1::unordered_map<Dish, int>::iterator dcit = find(dish);
- //typename google::sparse_hash_map<Dish, int>::iterator dcit = find(dish);
- if (dcit == PYP<Dish,Hash>::end()) {
- std::cerr << dish << std::endl;
- assert(false);
- }
-
- int delta = 0, table_left=-1;
-
- typename std::tr1::unordered_map<Dish, typename PYP<Dish,Hash>::TableCounter>::iterator dtit
- = PYP<Dish,Hash>::_dish_tables.find(dish);
- //typename google::sparse_hash_map<Dish, TableCounter>::iterator dtit = _dish_tables.find(dish);
- if (dtit == PYP<Dish,Hash>::_dish_tables.end()) {
- std::cerr << dish << std::endl;
- assert(false);
- }
- typename PYP<Dish,Hash>::TableCounter &tc = dtit->second;
-
- double r = rnd() * PYP<Dish,Hash>::count(dish);
- for (std::map<int,int>::iterator hit = tc.table_histogram.begin();
- hit != tc.table_histogram.end(); ++hit) {
- r -= (hit->first * hit->second);
- if (r <= 0) {
- table_left = hit->first;
- if (hit->first > 1) {
- tc.table_histogram[hit->first-1] += 1;
- }
- else {
- delta = -1;
- tc.tables -= 1;
- PYP<Dish,Hash>::_total_tables -= 1;
- }
-
- hit->second -= 1;
- if (hit->second == 0) tc.table_histogram.erase(hit);
- break;
- }
- }
- if (r > 0) {
- std::cerr << r << " " << PYP<Dish,Hash>::count(dish) << " " << PYP<Dish,Hash>::_a << " "
- << PYP<Dish,Hash>::num_tables(dish) << std::endl;
- assert(false);
- }
-
- // remove the customer
- dcit->second -= 1;
- PYP<Dish,Hash>::_total_customers -= 1;
- assert(dcit->second >= 0);
- if (dcit->second == 0) {
- PYP<Dish,Hash>::erase(dcit);
- PYP<Dish,Hash>::_dish_tables.erase(dtit);
- }
-
- // MPI Delta processing
- typename dish_delta_type::iterator it;
- bool insert_result;
- boost::tie(it, insert_result) = m_count_delta.insert(std::make_pair(dish,0));
- it->second -= 1;
- if (it->second == 0) m_count_delta.erase(it);
-
- assert (table_left > 0);
- typename PYP<Dish,Hash>::TableCounter& delta_tc = m_table_delta[dish];
- if (table_left > 1) {
- std::map<int,int>::iterator tit;
- boost::tie(tit, insert_result) = delta_tc.table_histogram.insert(std::make_pair(table_left-1,0));
- tit->second += 1;
- if (tit->second == 0) delta_tc.table_histogram.erase(tit);
- }
- else delta_tc.tables -= 1;
-
- std::map<int,int>::iterator tit;
- boost::tie(tit, insert_result) = delta_tc.table_histogram.insert(std::make_pair(table_left,0));
- tit->second -= 1;
- if (tit->second == 0) delta_tc.table_histogram.erase(tit);
-
- // std::cerr << "Dish " << dish << " has " << count(dish) << " customers, and is sitting at " << PYP<Dish,Hash>::num_tables(dish) << " tables.\n";
- // for (std::map<int,int>::const_iterator
- // hit = delta_tc.table_histogram.begin();
- // hit != delta_tc.table_histogram.end(); ++hit) {
- // std::cerr << " " << hit->second << " tables with " << hit->first << " customers." << std::endl;
- // }
- int x_num_customers=0, x_num_table=0;
- for (std::map<int,int>::const_iterator
- hit = delta_tc.table_histogram.begin();
- hit != delta_tc.table_histogram.end(); ++hit) {
- x_num_table += hit->second;
- x_num_customers += (hit->second*hit->first);
- }
- int tmp_c = PYP<Dish,Hash>::count(dish);
- int tmp_t = PYP<Dish,Hash>::num_tables(dish);
- assert (x_num_customers <= tmp_c);
- assert (x_num_table <= tmp_t);
-
- if (delta_tc.table_histogram.empty()) {
- // std::cerr << " DELETING " << dish << std::endl;
- assert (delta_tc.tables == 0);
- m_table_delta.erase(dish);
- }
-
- //PYP<Dish,Hash>::debug_info(std::cerr);
- //std::cerr << " Dish " << dish << " has count " << PYP<Dish,Hash>::count(dish) << " tables " << PYP<Dish,Hash>::num_tables(dish) << std::endl;
- return delta;
-}
-
-template <typename Dish, typename Hash>
-void
-MPIPYP<Dish,Hash>::clear() {
- PYP<Dish,Hash>::clear();
- reset_deltas();
-}
-
-template <typename Dish, typename Hash>
-void
-MPIPYP<Dish,Hash>::reset_deltas() {
- m_count_delta.clear();
- m_table_delta.clear();
-}
-
-template <typename Dish>
-struct sum_maps {
- typedef std::map<Dish,int> map_type;
- map_type& operator() (map_type& l, map_type const & r) const {
- for (typename map_type::const_iterator it=r.begin(); it != r.end(); it++)
- l[it->first] += it->second;
- return l;
- }
-};
-
-template <typename Dish>
-struct subtract_maps {
- typedef std::map<Dish,int> map_type;
- map_type& operator() (map_type& l, map_type const & r) const {
- for (typename map_type::const_iterator it=r.begin(); it != r.end(); it++)
- l[it->first] -= it->second;
- return l;
- }
-};
-
-// Needed Boost definitions
-namespace boost {
- namespace mpi {
- template <>
- struct is_commutative< sum_maps<int>, std::map<int,int> > : mpl::true_ {};
- }
-
- namespace serialization {
- template<class Archive>
- void serialize(Archive & ar, PYP<int>::TableCounter& t, const unsigned int version) {
- ar & t.table_histogram;
- ar & t.tables;
- }
-
- } // namespace serialization
-} // namespace boost
-
-template <typename A, typename B, typename C>
-struct triple {
- triple() {}
- triple(const A& a, const B& b, const C& c) : first(a), second(b), third(c) {}
- A first;
- B second;
- C third;
-
- template<class Archive>
- void serialize(Archive &ar, const unsigned int version){
- ar & first;
- ar & second;
- ar & third;
- }
-};
-
-BOOST_IS_BITWISE_SERIALIZABLE(MPIPYP<int>::dish_delta_type)
-BOOST_CLASS_TRACKING(MPIPYP<int>::dish_delta_type,track_never)
-
-template <typename Dish, typename Hash>
-void
-MPIPYP<Dish,Hash>::synchronise(dish_delta_type* result) {
- boost::mpi::communicator world;
- //int rank = world.rank(), size = world.size();
-
- boost::mpi::all_reduce(world, m_count_delta, *result, sum_maps<Dish>());
- subtract_maps<Dish>()(*result, m_count_delta);
-
-/*
- // communicate the customer count deltas
- dish_delta_type global_dish_delta;
- boost::mpi::all_reduce(world, m_count_delta, global_dish_delta, sum_maps<Dish>());
-
- // update this restaurant
- for (typename dish_delta_type::const_iterator it=global_dish_delta.begin();
- it != global_dish_delta.end(); ++it) {
- int global_delta = it->second - m_count_delta[it->first];
- if (global_delta == 0) continue;
- typename std::tr1::unordered_map<Dish,int,Hash>::iterator dit; bool inserted;
- boost::tie(dit, inserted)
- = std::tr1::unordered_map<Dish,int,Hash>::insert(std::make_pair(it->first, 0));
- dit->second += global_delta;
- assert(dit->second >= 0);
- if (dit->second == 0) {
- std::tr1::unordered_map<Dish,int,Hash>::erase(dit);
- }
-
- PYP<Dish,Hash>::_total_customers += (it->second - m_count_delta[it->first]);
- int tmp = PYP<Dish,Hash>::_total_customers;
- assert(tmp >= 0);
- //std::cerr << "Process " << rank << " adding " << (it->second - m_count_delta[it->first]) << " of customer " << it->first << std::endl;
- }
-*/
-/*
- // communicate the table count deltas
- for (int process = 0; process < size; ++process) {
- typename std::vector< triple<Dish, int, int> > message;
- if (rank == process) {
- // broadcast deltas
- for (typename table_delta_type::const_iterator dish_it=m_table_delta.begin();
- dish_it != m_table_delta.end(); ++dish_it) {
- //assert (dish_it->second.tables > 0);
- for (std::map<int,int>::const_iterator it=dish_it->second.table_histogram.begin();
- it != dish_it->second.table_histogram.end(); ++it) {
- triple<Dish, int, int> m(dish_it->first, it->first, it->second);
- message.push_back(m);
- }
- // append a special message with the total table delta for this dish
- triple<Dish, int, int> m(dish_it->first, -1, dish_it->second.tables);
- message.push_back(m);
- }
- boost::mpi::broadcast(world, message, process);
- }
- else {
- // receive deltas
- boost::mpi::broadcast(world, message, process);
- for (typename std::vector< triple<Dish, int, int> >::const_iterator it=message.begin(); it != message.end(); ++it) {
- typename PYP<Dish,Hash>::TableCounter& tc = PYP<Dish,Hash>::_dish_tables[it->first];
- if (it->second >= 0) {
- std::map<int,int>::iterator tit; bool inserted;
- boost::tie(tit, inserted) = tc.table_histogram.insert(std::make_pair(it->second, 0));
- tit->second += it->third;
- if (tit->second < 0) {
- std::cerr << tit->first << " " << tit->second << " " << it->first << " " << it->second << " " << it->third << std::endl;
- assert(tit->second >= 0);
- }
- if (tit->second == 0) {
- tc.table_histogram.erase(tit);
- }
- }
- else {
- tc.tables += it->third;
- PYP<Dish,Hash>::_total_tables += it->third;
- assert(tc.tables >= 0);
- if (tc.tables == 0) assert(tc.table_histogram.empty());
- if (tc.table_histogram.empty()) {
- assert (tc.tables == 0);
- PYP<Dish,Hash>::_dish_tables.erase(it->first);
- }
- }
- }
- }
- }
-*/
-
-// reset_deltas();
-}
-
-#endif
diff --git a/gi/pyp-topics/src/mpi-train-contexts.cc b/gi/pyp-topics/src/mpi-train-contexts.cc
deleted file mode 100644
index e05e0eac..00000000
--- a/gi/pyp-topics/src/mpi-train-contexts.cc
+++ /dev/null
@@ -1,201 +0,0 @@
-// STL
-#include <iostream>
-#include <fstream>
-#include <algorithm>
-#include <iterator>
-
-// Boost
-#include <boost/program_options/parsers.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include <boost/scoped_ptr.hpp>
-#include <boost/mpi/environment.hpp>
-#include <boost/mpi/communicator.hpp>
-#include <boost/lexical_cast.hpp>
-
-// Local
-#include "mpi-pyp-topics.hh"
-#include "corpus.hh"
-#include "mpi-corpus.hh"
-#include "gzstream.hh"
-
-static const char *REVISION = "$Rev: 170 $";
-
-// Namespaces
-using namespace boost;
-using namespace boost::program_options;
-using namespace std;
-
-int main(int argc, char **argv)
-{
- mpi::environment env(argc, argv);
- mpi::communicator world;
- int rank = world.rank();
- bool am_root = (rank==0);
- if (am_root) cout << "Pitman Yor topic models: Copyright 2010 Phil Blunsom\n";
- if (am_root) std::cout << "I am process " << world.rank() << " of " << world.size() << "." << std::endl;
- if (am_root) cout << REVISION << '\n' <<endl;
-
- ////////////////////////////////////////////////////////////////////////////////////////////
- // Command line processing
- variables_map vm;
-
- // Command line processing
- {
- options_description cmdline_specific("Command line specific options");
- cmdline_specific.add_options()
- ("help,h", "print help message")
- ("config,c", value<string>(), "config file specifying additional command line options")
- ;
- options_description config_options("Allowed options");
- config_options.add_options()
- ("help,h", "print help message")
- ("data,d", value<string>(), "file containing the documents and context terms")
- ("topics,t", value<int>()->default_value(50), "number of topics")
- ("document-topics-out,o", value<string>(), "file to write the document topics to")
- ("default-topics-out", value<string>(), "file to write default term topic assignments.")
- ("topic-words-out,w", value<string>(), "file to write the topic word distribution to")
- ("samples,s", value<int>()->default_value(10), "number of sampling passes through the data")
- ("backoff-type", value<string>(), "backoff type: none|simple")
-// ("filter-singleton-contexts", "filter singleton contexts")
- ("hierarchical-topics", "Use a backoff hierarchical PYP as the P0 for the document topics distribution.")
- ("binary-counts,b", "Use binary rather than integer counts for contexts.")
- ("freq-cutoff-start", value<int>()->default_value(0), "initial frequency cutoff.")
- ("freq-cutoff-end", value<int>()->default_value(0), "final frequency cutoff.")
- ("freq-cutoff-interval", value<int>()->default_value(0), "number of iterations between frequency decrement.")
- ("max-contexts-per-document", value<int>()->default_value(0), "Only sample the n most frequent contexts for a document.")
- ;
-
- cmdline_specific.add(config_options);
-
- store(parse_command_line(argc, argv, cmdline_specific), vm);
- notify(vm);
-
- if (vm.count("config") > 0) {
- ifstream config(vm["config"].as<string>().c_str());
- store(parse_config_file(config, config_options), vm);
- }
-
- if (vm.count("help")) {
- cout << cmdline_specific << "\n";
- return 1;
- }
- }
- ////////////////////////////////////////////////////////////////////////////////////////////
-
- if (!vm.count("data")) {
- cerr << "Please specify a file containing the data." << endl;
- return 1;
- }
-
- // seed the random number generator: 0 = automatic, specify value otherwise
- unsigned long seed = 0;
- MPIPYPTopics model(vm["topics"].as<int>(), vm.count("hierarchical-topics"), seed);
-
- // read the data
- BackoffGenerator* backoff_gen=0;
- if (vm.count("backoff-type")) {
- if (vm["backoff-type"].as<std::string>() == "none") {
- backoff_gen = 0;
- }
- else if (vm["backoff-type"].as<std::string>() == "simple") {
- backoff_gen = new SimpleBackoffGenerator();
- }
- else {
- cerr << "Backoff type (--backoff-type) must be one of none|simple." <<endl;
- return(1);
- }
- }
-
- //ContextsCorpus contexts_corpus;
- MPICorpus contexts_corpus;
- contexts_corpus.read_contexts(vm["data"].as<string>(), backoff_gen, /*vm.count("filter-singleton-contexts")*/ false, vm.count("binary-counts"));
- int mpi_start = 0, mpi_end = 0;
- contexts_corpus.bounds(&mpi_start, &mpi_end);
- std::cerr << "\tProcess " << rank << " has documents " << mpi_start << " -> " << mpi_end << "." << std::endl;
-
- model.set_backoff(contexts_corpus.backoff_index());
-
- if (backoff_gen)
- delete backoff_gen;
-
- // train the sampler
- model.sample_corpus(contexts_corpus, vm["samples"].as<int>(),
- vm["freq-cutoff-start"].as<int>(),
- vm["freq-cutoff-end"].as<int>(),
- vm["freq-cutoff-interval"].as<int>(),
- vm["max-contexts-per-document"].as<int>());
-
- if (vm.count("document-topics-out")) {
- std::ofstream documents_out((vm["document-topics-out"].as<string>() + ".pyp-process-" + boost::lexical_cast<std::string>(rank)).c_str());
- //int documents = contexts_corpus.num_documents();
- /*
- int mpi_start = 0, mpi_end = documents;
- if (world.size() != 1) {
- mpi_start = (documents / world.size()) * rank;
- if (rank == world.size()-1) mpi_end = documents;
- else mpi_end = (documents / world.size())*(rank+1);
- }
- */
-
- map<int,int> all_terms;
- for (int document_id=mpi_start; document_id<mpi_end; ++document_id) {
- assert (document_id < contexts_corpus.num_documents());
- const Document& doc = contexts_corpus.at(document_id);
- vector<int> unique_terms;
- for (Document::const_iterator docIt=doc.begin(); docIt != doc.end(); ++docIt) {
- if (unique_terms.empty() || *docIt != unique_terms.back())
- unique_terms.push_back(*docIt);
- // increment this terms frequency
- pair<map<int,int>::iterator,bool> insert_result = all_terms.insert(make_pair(*docIt,1));
- if (!insert_result.second)
- all_terms[*docIt] = all_terms[*docIt] + 1;
- }
- documents_out << contexts_corpus.key(document_id) << '\t';
- documents_out << model.max(document_id).first << " " << doc.size() << " ||| ";
- for (std::vector<int>::const_iterator termIt=unique_terms.begin(); termIt != unique_terms.end(); ++termIt) {
- if (termIt != unique_terms.begin())
- documents_out << " ||| ";
- vector<std::string> strings = contexts_corpus.context2string(*termIt);
- copy(strings.begin(), strings.end(),ostream_iterator<std::string>(documents_out, " "));
- std::pair<int,MPIPYPTopics::F> maxinfo = model.max(document_id, *termIt);
- documents_out << "||| C=" << maxinfo.first << " P=" << maxinfo.second;
- }
- documents_out <<endl;
- }
- documents_out.close();
- world.barrier();
-
- if (am_root) {
- ogzstream root_documents_out(vm["document-topics-out"].as<string>().c_str());
- for (int p=0; p < world.size(); ++p) {
- std::string rank_p_prefix((vm["document-topics-out"].as<string>() + ".pyp-process-" + boost::lexical_cast<std::string>(p)).c_str());
- std::ifstream rank_p_trees_istream(rank_p_prefix.c_str(), std::ios_base::binary);
- root_documents_out << rank_p_trees_istream.rdbuf();
- rank_p_trees_istream.close();
- remove((rank_p_prefix).c_str());
- }
- root_documents_out.close();
- }
-
- if (am_root && vm.count("default-topics-out")) {
- ofstream default_topics(vm["default-topics-out"].as<string>().c_str());
- default_topics << model.max_topic() <<endl;
- for (std::map<int,int>::const_iterator termIt=all_terms.begin(); termIt != all_terms.end(); ++termIt) {
- vector<std::string> strings = contexts_corpus.context2string(termIt->first);
- default_topics << model.max(-1, termIt->first).first << " ||| " << termIt->second << " ||| ";
- copy(strings.begin(), strings.end(),ostream_iterator<std::string>(default_topics, " "));
- default_topics <<endl;
- }
- }
- }
-
- if (am_root && vm.count("topic-words-out")) {
- ogzstream topics_out(vm["topic-words-out"].as<string>().c_str());
- model.print_topic_terms(topics_out);
- topics_out.close();
- }
-
- cout <<endl;
-
- return 0;
-}
diff --git a/gi/pyp-topics/src/mt19937ar.c b/gi/pyp-topics/src/mt19937ar.c
deleted file mode 100644
index 6551ea39..00000000
--- a/gi/pyp-topics/src/mt19937ar.c
+++ /dev/null
@@ -1,194 +0,0 @@
-/*
- A C-program for MT19937, with initialization improved 2002/1/26.
- Coded by Takuji Nishimura and Makoto Matsumoto.
-
- Before using, initialize the state by using mt_init_genrand(seed)
- or mt_init_by_array(init_key, key_length).
-
- Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
- All rights reserved.
-
- Redistribution and use in source and binary forms, with or without
- modification, are permitted provided that the following conditions
- are met:
-
- 1. Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
-
- 2. Redistributions in binary form must reproduce the above copyright
- notice, this list of conditions and the following disclaimer in the
- documentation and/or other materials provided with the distribution.
-
- 3. The names of its contributors may not be used to endorse or promote
- products derived from this software without specific prior written
- permission.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
- A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
- CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
- EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
- PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
- LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
- NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-
- Any feedback is very welcome.
- http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
- email: m-mat @ math.sci.hiroshima-u.ac.jp (remove space)
-*/
-
-#include "mt19937ar.h" /* XXX MJ 17th March 2006 */
-
-/* Period parameters */
-#define N 624
-#define M 397
-#define MATRIX_A 0x9908b0dfUL /* constant vector a */
-#define UPPER_MASK 0x80000000UL /* most significant w-r bits */
-#define LOWER_MASK 0x7fffffffUL /* least significant r bits */
-
-static unsigned long mt[N]; /* the array for the state vector */
-static int mti=N+1; /* mti==N+1 means mt[N] is not initialized */
-
-/* initializes mt[N] with a seed */
-void mt_init_genrand(unsigned long s)
-{
- mt[0]= s & 0xffffffffUL;
- for (mti=1; mti<N; mti++) {
- mt[mti] =
- (1812433253UL * (mt[mti-1] ^ (mt[mti-1] >> 30)) + mti);
- /* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
- /* In the previous versions, MSBs of the seed affect */
- /* only MSBs of the array mt[]. */
- /* 2002/01/09 modified by Makoto Matsumoto */
- mt[mti] &= 0xffffffffUL;
- /* for >32 bit machines */
- }
-}
-
-/* initialize by an array with array-length */
-/* init_key is the array for initializing keys */
-/* key_length is its length */
-/* slight change for C++, 2004/2/26 */
-void mt_init_by_array(unsigned long init_key[], int key_length)
-{
- int i, j, k;
- mt_init_genrand(19650218UL);
- i=1; j=0;
- k = (N>key_length ? N : key_length);
- for (; k; k--) {
- mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1664525UL))
- + init_key[j] + j; /* non linear */
- mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
- i++; j++;
- if (i>=N) { mt[0] = mt[N-1]; i=1; }
- if (j>=key_length) j=0;
- }
- for (k=N-1; k; k--) {
- mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1566083941UL))
- - i; /* non linear */
- mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
- i++;
- if (i>=N) { mt[0] = mt[N-1]; i=1; }
- }
-
- mt[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */
-}
-
-/* generates a random number on [0,0xffffffff]-interval */
-unsigned long mt_genrand_int32(void)
-{
- unsigned long y;
- static unsigned long mag01[2]={0x0UL, MATRIX_A};
- /* mag01[x] = x * MATRIX_A for x=0,1 */
-
- if (mti >= N) { /* generate N words at one time */
- int kk;
-
- if (mti == N+1) /* if mt_init_genrand() has not been called, */
- mt_init_genrand(5489UL); /* a default initial seed is used */
-
- for (kk=0;kk<N-M;kk++) {
- y = (mt[kk]&UPPER_MASK)|(mt[kk+1]&LOWER_MASK);
- mt[kk] = mt[kk+M] ^ (y >> 1) ^ mag01[y & 0x1UL];
- }
- for (;kk<N-1;kk++) {
- y = (mt[kk]&UPPER_MASK)|(mt[kk+1]&LOWER_MASK);
- mt[kk] = mt[kk+(M-N)] ^ (y >> 1) ^ mag01[y & 0x1UL];
- }
- y = (mt[N-1]&UPPER_MASK)|(mt[0]&LOWER_MASK);
- mt[N-1] = mt[M-1] ^ (y >> 1) ^ mag01[y & 0x1UL];
-
- mti = 0;
- }
-
- y = mt[mti++];
-
- /* Tempering */
- y ^= (y >> 11);
- y ^= (y << 7) & 0x9d2c5680UL;
- y ^= (y << 15) & 0xefc60000UL;
- y ^= (y >> 18);
-
- return y;
-}
-
-/* generates a random number on [0,0x7fffffff]-interval */
-long mt_genrand_int31(void)
-{
- return (long)( mt_genrand_int32()>>1);
-}
-
-/* generates a random number on [0,1]-real-interval */
-double mt_genrand_real1(void)
-{
- return mt_genrand_int32()*(1.0/4294967295.0);
- /* divided by 2^32-1 */
-}
-
-/* generates a random number on [0,1)-real-interval */
-double mt_genrand_real2(void)
-{
- return mt_genrand_int32()*(1.0/4294967296.0);
- /* divided by 2^32 */
-}
-
-/* generates a random number on (0,1)-real-interval */
-double mt_genrand_real3(void)
-{
- return (((double) mt_genrand_int32()) + 0.5)*(1.0/4294967296.0);
- /* divided by 2^32 */
-}
-
-/* generates a random number on [0,1) with 53-bit resolution*/
-double mt_genrand_res53(void)
-{
- unsigned long a=mt_genrand_int32()>>5, b=mt_genrand_int32()>>6;
- return(a*67108864.0+b)*(1.0/9007199254740992.0);
-}
-/* These real versions are due to Isaku Wada, 2002/01/09 added */
-
-/*
-#include <stdio.h>
-
-int main(void)
-{
- int i;
- unsigned long init[4]={0x123, 0x234, 0x345, 0x456}, length=4;
- mt_init_by_array(init, length);
- printf("1000 outputs of genrand_int32()\n");
- for (i=0; i<1000; i++) {
- printf("%10lu ", mt_genrand_int32());
- if (i%5==4) printf("\n");
- }
- printf("\n1000 outputs of genrand_real2()\n");
- for (i=0; i<1000; i++) {
- printf("%10.8f ", mt_genrand_real2());
- if (i%5==4) printf("\n");
- }
- return 0;
-}
-*/
diff --git a/gi/pyp-topics/src/mt19937ar.h b/gi/pyp-topics/src/mt19937ar.h
deleted file mode 100644
index caab4045..00000000
--- a/gi/pyp-topics/src/mt19937ar.h
+++ /dev/null
@@ -1,44 +0,0 @@
-/* mt19937ar.h
- *
- * Mark Johnson, 17th March 2006
- */
-
-#ifndef MT19937AR_H
-#define MT19937AR_H
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
- /* initializes mt[N] with a seed */
- void mt_init_genrand(unsigned long s);
-
- /* initialize by an array with array-length */
- /* init_key is the array for initializing keys */
- /* key_length is its length */
- /* slight change for C++, 2004/2/26 */
- void mt_init_by_array(unsigned long init_key[], int key_length);
-
- /* generates a random number on [0,0xffffffff]-interval */
- unsigned long mt_genrand_int32(void);
-
- /* generates a random number on [0,0x7fffffff]-interval */
- long mt_genrand_int31(void);
-
- /* generates a random number on [0,1]-real-interval */
- double mt_genrand_real1(void);
-
- /* generates a random number on [0,1)-real-interval */
- double mt_genrand_real2(void);
-
- /* generates a random number on (0,1)-real-interval */
- double mt_genrand_real3(void);
-
- /* generates a random number on [0,1) with 53-bit resolution*/
- double mt_genrand_res53(void);
-
-#ifdef __cplusplus
-};
-#endif
-
-#endif /* MT19937AR_H */
diff --git a/gi/pyp-topics/src/pyp-topics.cc b/gi/pyp-topics/src/pyp-topics.cc
deleted file mode 100644
index 4de52fd7..00000000
--- a/gi/pyp-topics/src/pyp-topics.cc
+++ /dev/null
@@ -1,499 +0,0 @@
-#include "timing.h"
-#include "pyp-topics.hh"
-#include "contexts_corpus.hh"
-
-//Dict const *dict;
-
-//#include <boost/date_time/posix_time/posix_time_types.hpp>
-void PYPTopics::sample_corpus(const Corpus& corpus, int samples,
- int freq_cutoff_start, int freq_cutoff_end,
- int freq_cutoff_interval,
- int max_contexts_per_document,
- F temp_start, F temp_end) {
- Timer timer;
- //dict = &((ContextsCorpus*) &corpus)->dict();
-
- if (!m_backoff.get()) {
- m_word_pyps.clear();
- m_word_pyps.push_back(PYPs());
- }
-
- std::cerr << "\n Training with " << m_word_pyps.size()-1 << " backoff level"
- << (m_word_pyps.size()==2 ? ":" : "s:") << std::endl;
-
-
- for (int i=0; i<(int)m_word_pyps.size(); ++i)
- {
- m_word_pyps.at(i).reserve(m_num_topics);
- for (int j=0; j<m_num_topics; ++j)
- m_word_pyps.at(i).push_back(new PYP<int>(0.01, 1.0, m_seed));
- }
- std::cerr << std::endl;
-
- m_document_pyps.reserve(corpus.num_documents());
- for (int j=0; j<corpus.num_documents(); ++j)
- m_document_pyps.push_back(new PYP<int>(0.01, 1.0, m_seed));
-
- m_topic_p0 = 1.0/m_num_topics;
- m_term_p0 = 1.0/(F)m_backoff->terms_at_level(m_word_pyps.size()-1);
- //m_term_p0 = 1.0/corpus.num_types();
- m_backoff_p0 = 1.0/corpus.num_documents();
-
- std::cerr << " Documents: " << corpus.num_documents() << " Terms: "
- << corpus.num_types() << std::endl;
-
- int frequency_cutoff = freq_cutoff_start;
- std::cerr << " Context frequency cutoff set to " << frequency_cutoff << std::endl;
-
- timer.Reset();
- // Initialisation pass
- int document_id=0, topic_counter=0;
- for (Corpus::const_iterator corpusIt=corpus.begin();
- corpusIt != corpus.end(); ++corpusIt, ++document_id) {
- m_corpus_topics.push_back(DocumentTopics(corpusIt->size(), 0));
-
- int term_index=0;
- for (Document::const_iterator docIt=corpusIt->begin();
- docIt != corpusIt->end(); ++docIt, ++term_index) {
- topic_counter++;
- Term term = *docIt;
-
- // sample a new_topic
- //int new_topic = (topic_counter % m_num_topics);
- int freq = corpus.context_count(term);
- int new_topic = -1;
- if (freq > frequency_cutoff
- && (!max_contexts_per_document || term_index < max_contexts_per_document)) {
- //new_topic = sample(document_id, term);
- //new_topic = document_id % m_num_topics;
- new_topic = (int) (rnd() * m_num_topics);
-
- // add the new topic to the PYPs
- increment(term, new_topic);
-
- if (m_use_topic_pyp) {
- F p0 = m_topic_pyp.prob(new_topic, m_topic_p0);
- int table_delta = m_document_pyps[document_id].increment(new_topic, p0);
- if (table_delta)
- m_topic_pyp.increment(new_topic, m_topic_p0);
- }
- else m_document_pyps[document_id].increment(new_topic, m_topic_p0);
- }
-
- m_corpus_topics[document_id][term_index] = new_topic;
- }
- }
- std::cerr << " Initialized in " << timer.Elapsed() << " seconds\n";
-
- int* randomDocIndices = new int[corpus.num_documents()];
- for (int i = 0; i < corpus.num_documents(); ++i)
- randomDocIndices[i] = i;
-
- if (num_jobs < max_threads)
- num_jobs = max_threads;
- int job_incr = (int) ( (float)m_document_pyps.size() / float(num_jobs) );
-
- // Sampling phase
- for (int curr_sample=0; curr_sample < samples; ++curr_sample) {
- if (freq_cutoff_interval > 0 && curr_sample != 1
- && curr_sample % freq_cutoff_interval == 1
- && frequency_cutoff > freq_cutoff_end) {
- frequency_cutoff--;
- std::cerr << "\n Context frequency cutoff set to " << frequency_cutoff << std::endl;
- }
-
- F temp = 1.0 / (temp_start - curr_sample*(temp_start-temp_end)/samples);
- std::cerr << "\n -- Sample " << curr_sample << " (T=" << temp << ") "; std::cerr.flush();
-
- // Randomize the corpus indexing array
- int tmp;
- int processed_terms=0;
- /*
- for (int i = corpus.num_documents()-1; i > 0; --i)
- {
- //i+1 since j \in [0,i] but rnd() \in [0,1)
- int j = (int)(rnd() * (i+1));
- assert(j >= 0 && j <= i);
- tmp = randomDocIndices[i];
- randomDocIndices[i] = randomDocIndices[j];
- randomDocIndices[j] = tmp;
- }
- */
-
- // for each document in the corpus
- int document_id;
- for (int i=0; i<corpus.num_documents(); ++i) {
- document_id = randomDocIndices[i];
-
- // for each term in the document
- int term_index=0;
- Document::const_iterator docEnd = corpus.at(document_id).end();
- for (Document::const_iterator docIt=corpus.at(document_id).begin();
- docIt != docEnd; ++docIt, ++term_index) {
- if (max_contexts_per_document && term_index > max_contexts_per_document)
- break;
-
- Term term = *docIt;
-
- int freq = corpus.context_count(term);
- if (freq < frequency_cutoff)
- continue;
-
- processed_terms++;
-
- // remove the prevous topic from the PYPs
- int current_topic = m_corpus_topics[document_id][term_index];
- // a negative label mean that term hasn't been sampled yet
- if (current_topic >= 0) {
- decrement(term, current_topic);
-
- int table_delta = m_document_pyps[document_id].decrement(current_topic);
- if (m_use_topic_pyp && table_delta < 0)
- m_topic_pyp.decrement(current_topic);
- }
-
- // sample a new_topic
- int new_topic = sample(document_id, term, temp);
- //std::cerr << "TERM: " << dict->Convert(term) << " (" << term << ") " << " Old Topic: "
- // << current_topic << " New Topic: " << new_topic << "\n" << std::endl;
-
- // add the new topic to the PYPs
- m_corpus_topics[document_id][term_index] = new_topic;
- increment(term, new_topic);
-
- if (m_use_topic_pyp) {
- F p0 = m_topic_pyp.prob(new_topic, m_topic_p0);
- int table_delta = m_document_pyps[document_id].increment(new_topic, p0);
- if (table_delta)
- m_topic_pyp.increment(new_topic, m_topic_p0);
- }
- else m_document_pyps[document_id].increment(new_topic, m_topic_p0);
- }
- if (document_id && document_id % 10000 == 0) {
- std::cerr << "."; std::cerr.flush();
- }
- }
- std::cerr << " ||| LLH= " << log_likelihood();
-
- if (curr_sample != 0 && curr_sample % 10 == 0) {
- //if (true) {
- std::cerr << " ||| time=" << (timer.Elapsed() / 10.0) << " sec/sample" << std::endl;
- timer.Reset();
- std::cerr << " ... Resampling hyperparameters (";
-
- // resample the hyperparamters
- F log_p=0.0;
- if (max_threads == 1)
- {
- std::cerr << "1 thread)" << std::endl; std::cerr.flush();
- log_p += hresample_topics();
- log_p += hresample_docs(0, m_document_pyps.size());
- }
- else
- { //parallelize
- std::cerr << max_threads << " threads, " << num_jobs << " jobs)" << std::endl; std::cerr.flush();
-
- WorkerPool<JobReturnsF, F> pool(max_threads);
- int i=0, sz = m_document_pyps.size();
- //documents...
- while (i <= sz - 2*job_incr)
- {
- JobReturnsF job = boost::bind(&PYPTopics::hresample_docs, this, i, i+job_incr);
- pool.addJob(job);
- i += job_incr;
- }
- // do all remaining documents
- JobReturnsF job = boost::bind(&PYPTopics::hresample_docs, this, i,sz);
- pool.addJob(job);
-
- //topics...
- JobReturnsF topics_job = boost::bind(&PYPTopics::hresample_topics, this);
- pool.addJob(topics_job);
-
- log_p += pool.get_result(); //blocks
-
- }
-
- if (m_use_topic_pyp) {
- m_topic_pyp.resample_prior(rnd);
- log_p += m_topic_pyp.log_restaurant_prob();
- }
-
- std::cerr.precision(10);
- std::cerr << " ||| LLH=" << log_likelihood() << " ||| resampling time=" << timer.Elapsed() << " sec" << std::endl;
- timer.Reset();
-
- int k=0;
- std::cerr << "Topics distribution: ";
- std::cerr.precision(2);
- for (PYPs::iterator pypIt=m_word_pyps.front().begin();
- pypIt != m_word_pyps.front().end(); ++pypIt, ++k) {
- if (k % 5 == 0) std::cerr << std::endl << '\t';
- std::cerr << "<" << k << ":" << pypIt->num_customers() << ","
- << pypIt->num_types() << "," << m_topic_pyp.prob(k, m_topic_p0) << "> ";
- }
- std::cerr.precision(10);
- std::cerr << std::endl;
- }
- }
- delete [] randomDocIndices;
-}
-
-PYPTopics::F PYPTopics::hresample_docs(int start, int end)
-{
- int resample_counter=0;
- F log_p = 0.0;
- assert(start >= 0);
- assert(end >= 0);
- assert(start <= end);
- for (int i=start; i < end; ++i)
- {
- m_document_pyps[i].resample_prior(rnd);
- log_p += m_document_pyps[i].log_restaurant_prob();
- if (resample_counter++ % 5000 == 0) {
- std::cerr << "."; std::cerr.flush();
- }
- }
- return log_p;
-}
-
-PYPTopics::F PYPTopics::hresample_topics()
-{
- F log_p = 0.0;
- for (std::vector<PYPs>::iterator levelIt=m_word_pyps.begin();
- levelIt != m_word_pyps.end(); ++levelIt) {
- for (PYPs::iterator pypIt=levelIt->begin();
- pypIt != levelIt->end(); ++pypIt) {
-
- pypIt->resample_prior(rnd);
- log_p += pypIt->log_restaurant_prob();
- }
- std::cerr << log_p << std::endl;
- }
- return log_p;
-}
-
-PYPTopics::F PYPTopics::log_likelihood() const
-{
- F log_p = 0.0;
-
- // LLH of topic term distribution
- size_t i=0;
- for (std::vector<PYPs>::const_iterator levelIt=m_word_pyps.begin();
- levelIt != m_word_pyps.end(); ++levelIt, ++i) {
- for (PYPs::const_iterator pypIt=levelIt->begin();
- pypIt != levelIt->end(); ++pypIt, ++i) {
- log_p += pypIt->log_restaurant_prob();
-
- if (i == m_word_pyps.size()-1)
- log_p += (pypIt->num_tables() * -log(m_backoff->terms_at_level(i)));
- else
- log_p += (pypIt->num_tables() * log(m_term_p0));
- }
- }
- std::cerr << " TERM LLH: " << log_p << " "; //std::endl;
-
- // LLH of document topic distribution
- for (size_t i=0; i < m_document_pyps.size(); ++i) {
- log_p += m_document_pyps[i].log_restaurant_prob();
- if (!m_use_topic_pyp) log_p += (m_document_pyps[i].num_tables() * m_topic_p0);
- }
- if (m_use_topic_pyp) {
- log_p += m_topic_pyp.log_restaurant_prob();
- log_p += (m_topic_pyp.num_tables() * log(m_topic_p0));
- }
-
- return log_p;
-}
-
-void PYPTopics::decrement(const Term& term, int topic, int level) {
- //std::cerr << "PYPTopics::decrement(" << term << "," << topic << "," << level << ")" << std::endl;
- int table_delta = m_word_pyps.at(level).at(topic).decrement(term);
- if (table_delta && m_backoff.get()) {
- Term backoff_term = (*m_backoff)[term];
- if (!m_backoff->is_null(backoff_term))
- decrement(backoff_term, topic, level+1);
- }
-}
-
-void PYPTopics::increment(const Term& term, int topic, int level) {
- //std::cerr << "PYPTopics::increment(" << term << "," << topic << "," << level << ")" << std::endl;
- int table_delta = m_word_pyps.at(level).at(topic).increment(term, word_pyps_p0(term, topic, level));
-
- if (table_delta && m_backoff.get()) {
- Term backoff_term = (*m_backoff)[term];
- if (!m_backoff->is_null(backoff_term))
- increment(backoff_term, topic, level+1);
- }
-}
-
-int PYPTopics::sample(const DocumentId& doc, const Term& term, F inv_temp) {
- // First pass: collect probs
- F sum=0.0;
- std::vector<F> sums;
- for (int k=0; k<m_num_topics; ++k) {
- F p_w_k = prob(term, k);
-
- F topic_prob = m_topic_p0;
- if (m_use_topic_pyp) topic_prob = m_topic_pyp.prob(k, m_topic_p0);
-
- //F p_k_d = m_document_pyps[doc].prob(k, topic_prob);
- F p_k_d = m_document_pyps[doc].unnormalised_prob(k, topic_prob);
-
- F prob = p_w_k*p_k_d;
- /*
- if (prob < 0.0) { std::cerr << "\n\n" << prob << " " << p_w_k << " " << p_k_d << std::endl; assert(false); }
- if (prob > 1.0) { std::cerr << "\n\n" << prob << " " << p_w_k << " " << p_k_d << std::endl; assert(false); }
- assert (pow(prob, inv_temp) >= 0.0);
- assert (pow(prob, inv_temp) <= 1.0);
- */
- sum += pow(prob, inv_temp);
- sums.push_back(sum);
- }
- // Second pass: sample a topic
- F cutoff = rnd() * sum;
- for (int k=0; k<m_num_topics; ++k) {
- if (cutoff <= sums[k])
- return k;
- }
- assert(false);
-}
-
-PYPTopics::F PYPTopics::word_pyps_p0(const Term& term, int topic, int level) const {
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "PYPTopics::word_pyps_p0(" << term << "," << topic << "," << level << ")" << std::endl;
-
- F p0 = m_term_p0;
- if (m_backoff.get()) {
- //static F fudge=m_backoff_p0; // TODO
-
- Term backoff_term = (*m_backoff)[term];
- //std::cerr << "T: " << term << " BO: " << backoff_term << std::endl;
- if (!m_backoff->is_null(backoff_term)) {
- assert (level < m_backoff->order());
- //p0 = (1.0/(F)m_backoff->terms_at_level(level))*prob(backoff_term, topic, level+1);
- p0 = m_term_p0*prob(backoff_term, topic, level+1);
- p0 = prob(backoff_term, topic, level+1);
- }
- else
- p0 = (1.0/(F) m_backoff->terms_at_level(level));
- //p0 = m_term_p0;
- }
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "PYPTopics::word_pyps_p0(" << term << "," << topic << "," << level << ") = " << p0 << std::endl;
- return p0;
-}
-
-PYPTopics::F PYPTopics::prob(const Term& term, int topic, int level) const {
- //for (int i=0; i<level+1; ++i) std::cerr << " ";
- //std::cerr << "PYPTopics::prob(" << dict->Convert(term) << "," << topic << "," << level << ")" << std::endl;
-
- F p0 = word_pyps_p0(term, topic, level);
- F p_w_k = m_word_pyps.at(level).at(topic).prob(term, p0);
-
- /*
- for (int i=0; i<level+1; ++i) std::cerr << " ";
- std::cerr << "PYPTopics::prob(" << dict->Convert(term) << "," << topic << "," << level << ") = " << p_w_k << std::endl;
- for (int i=0; i<level+1; ++i) std::cerr << " ";
- m_word_pyps.at(level).at(topic).debug_info(std::cerr);
- */
- return p_w_k;
-}
-
-int PYPTopics::max_topic() const {
- if (!m_use_topic_pyp)
- return -1;
-
- F current_max=0.0;
- int current_topic=-1;
- for (int k=0; k<m_num_topics; ++k) {
- F prob = m_topic_pyp.prob(k, m_topic_p0);
- if (prob > current_max) {
- current_max = prob;
- current_topic = k;
- }
- }
- assert(current_topic >= 0);
- return current_topic;
-}
-
-std::pair<int,PYPTopics::F> PYPTopics::max(const DocumentId& doc) const {
- //std::cerr << "PYPTopics::max(" << doc << "," << term << ")" << std::endl;
- // collect probs
- F current_max=0.0;
- int current_topic=-1;
- for (int k=0; k<m_num_topics; ++k) {
- //F p_w_k = prob(term, k);
-
- F topic_prob = m_topic_p0;
- if (m_use_topic_pyp)
- topic_prob = m_topic_pyp.prob(k, m_topic_p0);
-
- F prob = 0;
- if (doc < 0) prob = topic_prob;
- else prob = m_document_pyps[doc].prob(k, topic_prob);
-
- if (prob > current_max) {
- current_max = prob;
- current_topic = k;
- }
- }
- assert(current_topic >= 0);
- assert(current_max >= 0);
- return std::make_pair(current_topic, current_max);
-}
-
-std::pair<int,PYPTopics::F> PYPTopics::max(const DocumentId& doc, const Term& term) const {
- //std::cerr << "PYPTopics::max(" << doc << "," << term << ")" << std::endl;
- // collect probs
- F current_max=0.0;
- int current_topic=-1;
- for (int k=0; k<m_num_topics; ++k) {
- F p_w_k = prob(term, k);
-
- F topic_prob = m_topic_p0;
- if (m_use_topic_pyp)
- topic_prob = m_topic_pyp.prob(k, m_topic_p0);
-
- F p_k_d = 0;
- if (doc < 0) p_k_d = topic_prob;
- else p_k_d = m_document_pyps[doc].prob(k, topic_prob);
-
- F prob = (p_w_k*p_k_d);
- if (prob > current_max) {
- current_max = prob;
- current_topic = k;
- }
- }
- assert(current_topic >= 0);
- assert(current_max >= 0);
- return std::make_pair(current_topic,current_max);
-}
-
-std::ostream& PYPTopics::print_document_topics(std::ostream& out) const {
- for (CorpusTopics::const_iterator corpusIt=m_corpus_topics.begin();
- corpusIt != m_corpus_topics.end(); ++corpusIt) {
- int term_index=0;
- for (DocumentTopics::const_iterator docIt=corpusIt->begin();
- docIt != corpusIt->end(); ++docIt, ++term_index) {
- if (term_index) out << " ";
- out << *docIt;
- }
- out << std::endl;
- }
- return out;
-}
-
-std::ostream& PYPTopics::print_topic_terms(std::ostream& out) const {
- for (PYPs::const_iterator pypsIt=m_word_pyps.front().begin();
- pypsIt != m_word_pyps.front().end(); ++pypsIt) {
- int term_index=0;
- for (PYP<int>::const_iterator termIt=pypsIt->begin();
- termIt != pypsIt->end(); ++termIt, ++term_index) {
- if (term_index) out << " ";
- out << termIt->first << ":" << termIt->second;
- }
- out << std::endl;
- }
- return out;
-}
diff --git a/gi/pyp-topics/src/pyp-topics.hh b/gi/pyp-topics/src/pyp-topics.hh
deleted file mode 100644
index 3a910540..00000000
--- a/gi/pyp-topics/src/pyp-topics.hh
+++ /dev/null
@@ -1,98 +0,0 @@
-#ifndef PYP_TOPICS_HH
-#define PYP_TOPICS_HH
-
-#include <vector>
-#include <iostream>
-#include <boost/ptr_container/ptr_vector.hpp>
-
-#include <boost/random/uniform_real.hpp>
-#include <boost/random/variate_generator.hpp>
-#include <boost/random/mersenne_twister.hpp>
-
-#include "pyp.hh"
-#include "corpus.hh"
-#include "workers.hh"
-
-class PYPTopics {
-public:
- typedef std::vector<int> DocumentTopics;
- typedef std::vector<DocumentTopics> CorpusTopics;
- typedef long double F;
-
-public:
- PYPTopics(int num_topics, bool use_topic_pyp=false, unsigned long seed = 0,
- int max_threads = 1, int num_jobs = 1)
- : m_num_topics(num_topics), m_word_pyps(1),
- m_topic_pyp(0.5,1.0,seed), m_use_topic_pyp(use_topic_pyp),
- m_seed(seed),
- uni_dist(0,1), rng(seed == 0 ? (unsigned long)this : seed),
- rnd(rng, uni_dist), max_threads(max_threads), num_jobs(num_jobs) {}
-
- void sample_corpus(const Corpus& corpus, int samples,
- int freq_cutoff_start=0, int freq_cutoff_end=0,
- int freq_cutoff_interval=0,
- int max_contexts_per_document=0,
- F temp_start=1.0, F temp_end=1.0);
-
- int sample(const DocumentId& doc, const Term& term, F inv_temp=1.0);
- std::pair<int,F> max(const DocumentId& doc, const Term& term) const;
- std::pair<int,F> max(const DocumentId& doc) const;
- int max_topic() const;
-
- void set_backoff(const std::string& filename) {
- m_backoff.reset(new TermBackoff);
- m_backoff->read(filename);
- m_word_pyps.clear();
- m_word_pyps.resize(m_backoff->order(), PYPs());
- }
- void set_backoff(TermBackoffPtr backoff) {
- m_backoff = backoff;
- m_word_pyps.clear();
- m_word_pyps.resize(m_backoff->order(), PYPs());
- }
-
- F prob(const Term& term, int topic, int level=0) const;
- void decrement(const Term& term, int topic, int level=0);
- void increment(const Term& term, int topic, int level=0);
-
- F log_likelihood() const;
-
- std::ostream& print_document_topics(std::ostream& out) const;
- std::ostream& print_topic_terms(std::ostream& out) const;
-
-private:
- F word_pyps_p0(const Term& term, int topic, int level) const;
-
- int m_num_topics;
- F m_term_p0, m_topic_p0, m_backoff_p0;
-
- CorpusTopics m_corpus_topics;
- typedef boost::ptr_vector< PYP<int> > PYPs;
- PYPs m_document_pyps;
- std::vector<PYPs> m_word_pyps;
- PYP<int> m_topic_pyp;
- bool m_use_topic_pyp;
-
- unsigned long m_seed;
-
- typedef boost::mt19937 base_generator_type;
- typedef boost::uniform_real<> uni_dist_type;
- typedef boost::variate_generator<base_generator_type&, uni_dist_type> gen_type;
-
- uni_dist_type uni_dist;
- base_generator_type rng; //this gets the seed
- gen_type rnd; //instantiate: rnd(rng, uni_dist)
- //call: rnd() generates uniform on [0,1)
-
- typedef boost::function<F()> JobReturnsF;
-
- F hresample_docs(int start, int end); //does i in [start, end)
-
- F hresample_topics();
-
- int max_threads;
- int num_jobs;
- TermBackoffPtr m_backoff;
-};
-
-#endif // PYP_TOPICS_HH
diff --git a/gi/pyp-topics/src/pyp.hh b/gi/pyp-topics/src/pyp.hh
deleted file mode 100644
index b1cb62be..00000000
--- a/gi/pyp-topics/src/pyp.hh
+++ /dev/null
@@ -1,566 +0,0 @@
-#ifndef _pyp_hh
-#define _pyp_hh
-
-#include "slice-sampler.h"
-#include <math.h>
-#include <map>
-#include <tr1/unordered_map>
-//#include <google/sparse_hash_map>
-
-#include <boost/random/uniform_real.hpp>
-#include <boost/random/variate_generator.hpp>
-#include <boost/random/mersenne_twister.hpp>
-
-#include "log_add.h"
-#include "mt19937ar.h"
-
-//
-// Pitman-Yor process with customer and table tracking
-//
-
-template <typename Dish, typename Hash=std::tr1::hash<Dish> >
-class PYP : protected std::tr1::unordered_map<Dish, int, Hash>
-//class PYP : protected google::sparse_hash_map<Dish, int, Hash>
-{
-public:
- using std::tr1::unordered_map<Dish,int>::const_iterator;
- using std::tr1::unordered_map<Dish,int>::iterator;
- using std::tr1::unordered_map<Dish,int>::begin;
- using std::tr1::unordered_map<Dish,int>::end;
-// using google::sparse_hash_map<Dish,int>::const_iterator;
-// using google::sparse_hash_map<Dish,int>::iterator;
-// using google::sparse_hash_map<Dish,int>::begin;
-// using google::sparse_hash_map<Dish,int>::end;
-
- PYP(double a, double b, unsigned long seed = 0, Hash hash=Hash());
-
- virtual int increment(Dish d, double p0);
- virtual int decrement(Dish d);
-
- // lookup functions
- int count(Dish d) const;
- double prob(Dish dish, double p0) const;
- double prob(Dish dish, double dcd, double dca,
- double dtd, double dta, double p0) const;
- double unnormalised_prob(Dish dish, double p0) const;
-
- int num_customers() const { return _total_customers; }
- int num_types() const { return std::tr1::unordered_map<Dish,int>::size(); }
- //int num_types() const { return google::sparse_hash_map<Dish,int>::size(); }
- bool empty() const { return _total_customers == 0; }
-
- double log_prob(Dish dish, double log_p0) const;
- // nb. d* are NOT logs
- double log_prob(Dish dish, double dcd, double dca,
- double dtd, double dta, double log_p0) const;
-
- int num_tables(Dish dish) const;
- int num_tables() const;
-
- double a() const { return _a; }
- void set_a(double a) { _a = a; }
-
- double b() const { return _b; }
- void set_b(double b) { _b = b; }
-
- virtual void clear();
- std::ostream& debug_info(std::ostream& os) const;
-
- double log_restaurant_prob() const;
- double log_prior() const;
- static double log_prior_a(double a, double beta_a, double beta_b);
- static double log_prior_b(double b, double gamma_c, double gamma_s);
-
- template <typename Uniform01>
- void resample_prior(Uniform01& rnd);
- template <typename Uniform01>
- void resample_prior_a(Uniform01& rnd);
- template <typename Uniform01>
- void resample_prior_b(Uniform01& rnd);
-
-protected:
- double _a, _b; // parameters of the Pitman-Yor distribution
- double _a_beta_a, _a_beta_b; // parameters of Beta prior on a
- double _b_gamma_s, _b_gamma_c; // parameters of Gamma prior on b
-
- struct TableCounter {
- TableCounter() : tables(0) {};
- int tables;
- std::map<int, int> table_histogram; // num customers at table -> number tables
- };
- typedef std::tr1::unordered_map<Dish, TableCounter, Hash> DishTableType;
- //typedef google::sparse_hash_map<Dish, TableCounter, Hash> DishTableType;
- DishTableType _dish_tables;
- int _total_customers, _total_tables;
-
- typedef boost::mt19937 base_generator_type;
- typedef boost::uniform_real<> uni_dist_type;
- typedef boost::variate_generator<base_generator_type&, uni_dist_type> gen_type;
-
-// uni_dist_type uni_dist;
-// base_generator_type rng; //this gets the seed
-// gen_type rnd; //instantiate: rnd(rng, uni_dist)
- //call: rnd() generates uniform on [0,1)
-
- // Function objects for calculating the parts of the log_prob for
- // the parameters a and b
- struct resample_a_type {
- int n, m; double b, a_beta_a, a_beta_b;
- const DishTableType& dish_tables;
- resample_a_type(int n, int m, double b, double a_beta_a,
- double a_beta_b, const DishTableType& dish_tables)
- : n(n), m(m), b(b), a_beta_a(a_beta_a), a_beta_b(a_beta_b), dish_tables(dish_tables) {}
-
- double operator() (double proposed_a) const {
- double log_prior = log_prior_a(proposed_a, a_beta_a, a_beta_b);
- double log_prob = 0.0;
- double lgamma1a = lgamma(1.0 - proposed_a);
- for (typename DishTableType::const_iterator dish_it=dish_tables.begin(); dish_it != dish_tables.end(); ++dish_it)
- for (std::map<int, int>::const_iterator table_it=dish_it->second.table_histogram.begin();
- table_it !=dish_it->second.table_histogram.end(); ++table_it)
- log_prob += (table_it->second * (lgamma(table_it->first - proposed_a) - lgamma1a));
-
- log_prob += (proposed_a == 0.0 ? (m-1.0)*log(b)
- : ((m-1.0)*log(proposed_a) + lgamma((m-1.0) + b/proposed_a) - lgamma(b/proposed_a)));
- assert(std::isfinite(log_prob));
- return log_prob + log_prior;
- }
- };
-
- struct resample_b_type {
- int n, m; double a, b_gamma_c, b_gamma_s;
- resample_b_type(int n, int m, double a, double b_gamma_c, double b_gamma_s)
- : n(n), m(m), a(a), b_gamma_c(b_gamma_c), b_gamma_s(b_gamma_s) {}
-
- double operator() (double proposed_b) const {
- double log_prior = log_prior_b(proposed_b, b_gamma_c, b_gamma_s);
- double log_prob = 0.0;
- log_prob += (a == 0.0 ? (m-1.0)*log(proposed_b)
- : ((m-1.0)*log(a) + lgamma((m-1.0) + proposed_b/a) - lgamma(proposed_b/a)));
- log_prob += (lgamma(1.0+proposed_b) - lgamma(n+proposed_b));
- return log_prob + log_prior;
- }
- };
-
- /* lbetadist() returns the log probability density of x under a Beta(alpha,beta)
- * distribution. - copied from Mark Johnson's gammadist.c
- */
- static long double lbetadist(long double x, long double alpha, long double beta);
-
- /* lgammadist() returns the log probability density of x under a Gamma(alpha,beta)
- * distribution - copied from Mark Johnson's gammadist.c
- */
- static long double lgammadist(long double x, long double alpha, long double beta);
-
-};
-
-template <typename Dish, typename Hash>
-PYP<Dish,Hash>::PYP(double a, double b, unsigned long seed, Hash)
-: std::tr1::unordered_map<Dish, int, Hash>(10), _a(a), _b(b),
-//: google::sparse_hash_map<Dish, int, Hash>(10), _a(a), _b(b),
- _a_beta_a(1), _a_beta_b(1), _b_gamma_s(1), _b_gamma_c(1),
- //_a_beta_a(1), _a_beta_b(1), _b_gamma_s(10), _b_gamma_c(0.1),
- _total_customers(0), _total_tables(0)//,
- //uni_dist(0,1), rng(seed == 0 ? (unsigned long)this : seed), rnd(rng, uni_dist)
-{
-// std::cerr << "\t##PYP<Dish,Hash>::PYP(a=" << _a << ",b=" << _b << ")" << std::endl;
- //set_deleted_key(-std::numeric_limits<Dish>::max());
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::prob(Dish dish, double p0) const
-{
- int c = count(dish), t = num_tables(dish);
- double r = num_tables() * _a + _b;
- //std::cerr << "\t\t\t\tPYP<Dish,Hash>::prob(" << dish << "," << p0 << ") c=" << c << " r=" << r << std::endl;
- if (c > 0)
- return (c - _a * t + r * p0) / (num_customers() + _b);
- else
- return r * p0 / (num_customers() + _b);
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::unnormalised_prob(Dish dish, double p0) const
-{
- int c = count(dish), t = num_tables(dish);
- double r = num_tables() * _a + _b;
- if (c > 0) return (c - _a * t + r * p0);
- else return r * p0;
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::prob(Dish dish, double dcd, double dca,
- double dtd, double dta, double p0)
-const
-{
- int c = count(dish) + dcd, t = num_tables(dish) + dtd;
- double r = (num_tables() + dta) * _a + _b;
- if (c > 0)
- return (c - _a * t + r * p0) / (num_customers() + dca + _b);
- else
- return r * p0 / (num_customers() + dca + _b);
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::log_prob(Dish dish, double log_p0) const
-{
- using std::log;
- int c = count(dish), t = num_tables(dish);
- double r = log(num_tables() * _a + b);
- if (c > 0)
- return Log<double>::add(log(c - _a * t), r + log_p0)
- - log(num_customers() + _b);
- else
- return r + log_p0 - log(num_customers() + b);
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::log_prob(Dish dish, double dcd, double dca,
- double dtd, double dta, double log_p0)
-const
-{
- using std::log;
- int c = count(dish) + dcd, t = num_tables(dish) + dtd;
- double r = log((num_tables() + dta) * _a + b);
- if (c > 0)
- return Log<double>::add(log(c - _a * t), r + log_p0)
- - log(num_customers() + dca + _b);
- else
- return r + log_p0 - log(num_customers() + dca + b);
-}
-
-template <typename Dish, typename Hash>
-int
-PYP<Dish,Hash>::increment(Dish dish, double p0) {
- int delta = 0;
- TableCounter &tc = _dish_tables[dish];
-
- // seated on a new or existing table?
- int c = count(dish), t = num_tables(dish), T = num_tables();
- double pshare = (c > 0) ? (c - _a*t) : 0.0;
- double pnew = (_b + _a*T) * p0;
- assert (pshare >= 0.0);
- //assert (pnew > 0.0);
-
- //if (rnd() < pnew / (pshare + pnew)) {
- if (mt_genrand_res53() < pnew / (pshare + pnew)) {
- // assign to a new table
- tc.tables += 1;
- tc.table_histogram[1] += 1;
- _total_tables += 1;
- delta = 1;
- }
- else {
- // randomly assign to an existing table
- // remove constant denominator from inner loop
- //double r = rnd() * (c - _a*t);
- double r = mt_genrand_res53() * (c - _a*t);
- for (std::map<int,int>::iterator
- hit = tc.table_histogram.begin();
- hit != tc.table_histogram.end(); ++hit) {
- r -= ((hit->first - _a) * hit->second);
- if (r <= 0) {
- tc.table_histogram[hit->first+1] += 1;
- hit->second -= 1;
- if (hit->second == 0)
- tc.table_histogram.erase(hit);
- break;
- }
- }
- if (r > 0) {
- std::cerr << r << " " << c << " " << _a << " " << t << std::endl;
- assert(false);
- }
- delta = 0;
- }
-
- std::tr1::unordered_map<Dish,int,Hash>::operator[](dish) += 1;
- //google::sparse_hash_map<Dish,int,Hash>::operator[](dish) += 1;
- _total_customers += 1;
-
- return delta;
-}
-
-template <typename Dish, typename Hash>
-int
-PYP<Dish,Hash>::count(Dish dish) const
-{
- typename std::tr1::unordered_map<Dish, int>::const_iterator
- //typename google::sparse_hash_map<Dish, int>::const_iterator
- dcit = find(dish);
- if (dcit != end())
- return dcit->second;
- else
- return 0;
-}
-
-template <typename Dish, typename Hash>
-int
-PYP<Dish,Hash>::decrement(Dish dish)
-{
- typename std::tr1::unordered_map<Dish, int>::iterator dcit = find(dish);
- //typename google::sparse_hash_map<Dish, int>::iterator dcit = find(dish);
- if (dcit == end()) {
- std::cerr << dish << std::endl;
- assert(false);
- }
-
- int delta = 0;
-
- typename std::tr1::unordered_map<Dish, TableCounter>::iterator dtit = _dish_tables.find(dish);
- //typename google::sparse_hash_map<Dish, TableCounter>::iterator dtit = _dish_tables.find(dish);
- if (dtit == _dish_tables.end()) {
- std::cerr << dish << std::endl;
- assert(false);
- }
- TableCounter &tc = dtit->second;
-
- //std::cerr << "\tdecrement for " << dish << "\n";
- //std::cerr << "\tBEFORE histogram: " << tc.table_histogram << " ";
- //std::cerr << "count: " << count(dish) << " ";
- //std::cerr << "tables: " << tc.tables << "\n";
-
- //double r = rnd() * count(dish);
- double r = mt_genrand_res53() * count(dish);
- for (std::map<int,int>::iterator hit = tc.table_histogram.begin();
- hit != tc.table_histogram.end(); ++hit)
- {
- //r -= (hit->first - _a) * hit->second;
- r -= (hit->first) * hit->second;
- if (r <= 0)
- {
- if (hit->first > 1)
- tc.table_histogram[hit->first-1] += 1;
- else
- {
- delta = -1;
- tc.tables -= 1;
- _total_tables -= 1;
- }
-
- hit->second -= 1;
- if (hit->second == 0) tc.table_histogram.erase(hit);
- break;
- }
- }
- if (r > 0) {
- std::cerr << r << " " << count(dish) << " " << _a << " " << num_tables(dish) << std::endl;
- assert(false);
- }
-
- // remove the customer
- dcit->second -= 1;
- _total_customers -= 1;
- assert(dcit->second >= 0);
- if (dcit->second == 0) {
- erase(dcit);
- _dish_tables.erase(dtit);
- //std::cerr << "\tAFTER histogram: Empty\n";
- }
- else {
- //std::cerr << "\tAFTER histogram: " << _dish_tables[dish].table_histogram << " ";
- //std::cerr << "count: " << count(dish) << " ";
- //std::cerr << "tables: " << _dish_tables[dish].tables << "\n";
- }
-
- return delta;
-}
-
-template <typename Dish, typename Hash>
-int
-PYP<Dish,Hash>::num_tables(Dish dish) const
-{
- typename std::tr1::unordered_map<Dish, TableCounter, Hash>::const_iterator
- //typename google::sparse_hash_map<Dish, TableCounter, Hash>::const_iterator
- dtit = _dish_tables.find(dish);
-
- //assert(dtit != _dish_tables.end());
- if (dtit == _dish_tables.end())
- return 0;
-
- return dtit->second.tables;
-}
-
-template <typename Dish, typename Hash>
-int
-PYP<Dish,Hash>::num_tables() const
-{
- return _total_tables;
-}
-
-template <typename Dish, typename Hash>
-std::ostream&
-PYP<Dish,Hash>::debug_info(std::ostream& os) const
-{
- int hists = 0, tables = 0;
- for (typename std::tr1::unordered_map<Dish, TableCounter, Hash>::const_iterator
- //for (typename google::sparse_hash_map<Dish, TableCounter, Hash>::const_iterator
- dtit = _dish_tables.begin(); dtit != _dish_tables.end(); ++dtit)
- {
- hists += dtit->second.table_histogram.size();
- tables += dtit->second.tables;
-
-// if (dtit->second.tables <= 0)
-// std::cerr << dtit->first << " " << count(dtit->first) << std::endl;
- assert(dtit->second.tables > 0);
- assert(!dtit->second.table_histogram.empty());
-
-// os << "Dish " << dtit->first << " has " << count(dtit->first) << " customers, and is sitting at " << dtit->second.tables << " tables.\n";
- for (std::map<int,int>::const_iterator
- hit = dtit->second.table_histogram.begin();
- hit != dtit->second.table_histogram.end(); ++hit) {
-// os << " " << hit->second << " tables with " << hit->first << " customers." << std::endl;
- assert(hit->second > 0);
- }
- }
-
- os << "restaurant has "
- << _total_customers << " customers; "
- << _total_tables << " tables; "
- << tables << " tables'; "
- << num_types() << " dishes; "
- << _dish_tables.size() << " dishes'; and "
- << hists << " histogram entries\n";
-
- return os;
-}
-
-template <typename Dish, typename Hash>
-void
-PYP<Dish,Hash>::clear()
-{
- this->std::tr1::unordered_map<Dish,int,Hash>::clear();
- //this->google::sparse_hash_map<Dish,int,Hash>::clear();
- _dish_tables.clear();
- _total_tables = _total_customers = 0;
-}
-
-// log_restaurant_prob returns the log probability of the PYP table configuration.
-// Excludes Hierarchical P0 term which must be calculated separately.
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::log_restaurant_prob() const {
- if (_total_customers < 1)
- return (double)0.0;
-
- double log_prob = 0.0;
- double lgamma1a = lgamma(1.0-_a);
-
- //std::cerr << "-------------------\n" << std::endl;
- for (typename DishTableType::const_iterator dish_it=_dish_tables.begin();
- dish_it != _dish_tables.end(); ++dish_it) {
- for (std::map<int, int>::const_iterator table_it=dish_it->second.table_histogram.begin();
- table_it !=dish_it->second.table_histogram.end(); ++table_it) {
- log_prob += (table_it->second * (lgamma(table_it->first - _a) - lgamma1a));
- //std::cerr << "|" << dish_it->first->parent << " --> " << dish_it->first->rhs << " " << table_it->first << " " << table_it->second << " " << log_prob;
- }
- }
- //std::cerr << std::endl;
-
- log_prob += (_a == (double)0.0 ? (_total_tables-1.0)*log(_b) : (_total_tables-1.0)*log(_a) + lgamma((_total_tables-1.0) + _b/_a) - lgamma(_b/_a));
- //std::cerr << "\t\t" << log_prob << std::endl;
- log_prob += (lgamma(1.0 + _b) - lgamma(_total_customers + _b));
-
- //std::cerr << _total_customers << " " << _total_tables << " " << log_prob << " " << log_prior() << std::endl;
- //std::cerr << _a << " " << _b << std::endl;
- if (!std::isfinite(log_prob)) {
- assert(false);
- }
- //return log_prob;
- if (log_prob > 0.0)
- std::cerr << log_prob << std::endl;
- return log_prob;// + log_prior();
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::log_prior() const {
- double prior = 0.0;
- if (_a_beta_a > 0.0 && _a_beta_b > 0.0 && _a > 0.0)
- prior += log_prior_a(_a, _a_beta_a, _a_beta_b);
- if (_b_gamma_s > 0.0 && _b_gamma_c > 0.0)
- prior += log_prior_b(_b, _b_gamma_c, _b_gamma_s);
-
- return prior;
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::log_prior_a(double a, double beta_a, double beta_b) {
- return lbetadist(a, beta_a, beta_b);
-}
-
-template <typename Dish, typename Hash>
-double
-PYP<Dish,Hash>::log_prior_b(double b, double gamma_c, double gamma_s) {
- return lgammadist(b, gamma_c, gamma_s);
-}
-
-template <typename Dish, typename Hash>
-long double PYP<Dish,Hash>::lbetadist(long double x, long double alpha, long double beta) {
- assert(x > 0);
- assert(x < 1);
- assert(alpha > 0);
- assert(beta > 0);
- return (alpha-1)*log(x)+(beta-1)*log(1-x)+lgamma(alpha+beta)-lgamma(alpha)-lgamma(beta);
-//boost::math::lgamma
-}
-
-template <typename Dish, typename Hash>
-long double PYP<Dish,Hash>::lgammadist(long double x, long double alpha, long double beta) {
- assert(alpha > 0);
- assert(beta > 0);
- return (alpha-1)*log(x) - alpha*log(beta) - x/beta - lgamma(alpha);
-}
-
-
-template <typename Dish, typename Hash>
- template <typename Uniform01>
-void
-PYP<Dish,Hash>::resample_prior(Uniform01& rnd) {
- for (int num_its=5; num_its >= 0; --num_its) {
- resample_prior_b(rnd);
- resample_prior_a(rnd);
- }
- resample_prior_b(rnd);
-}
-
-template <typename Dish, typename Hash>
- template <typename Uniform01>
-void
-PYP<Dish,Hash>::resample_prior_b(Uniform01& rnd) {
- if (_total_tables == 0)
- return;
-
- //int niterations = 10; // number of resampling iterations
- int niterations = 5; // number of resampling iterations
- //std::cerr << "\n## resample_prior_b(), initial a = " << _a << ", b = " << _b << std::endl;
- resample_b_type b_log_prob(_total_customers, _total_tables, _a, _b_gamma_c, _b_gamma_s);
- _b = slice_sampler1d(b_log_prob, _b, rnd, (double) 0.0, std::numeric_limits<double>::infinity(),
- //_b = slice_sampler1d(b_log_prob, _b, mt_genrand_res53, (double) 0.0, std::numeric_limits<double>::infinity(),
- (double) 0.0, niterations, 100*niterations);
- //std::cerr << "\n## resample_prior_b(), final a = " << _a << ", b = " << _b << std::endl;
-}
-
-template <typename Dish, typename Hash>
- template <typename Uniform01>
-void
-PYP<Dish,Hash>::resample_prior_a(Uniform01& rnd) {
- if (_total_tables == 0)
- return;
-
- //int niterations = 10;
- int niterations = 5;
- //std::cerr << "\n## Initial a = " << _a << ", b = " << _b << std::endl;
- resample_a_type a_log_prob(_total_customers, _total_tables, _b, _a_beta_a, _a_beta_b, _dish_tables);
- _a = slice_sampler1d(a_log_prob, _a, rnd, std::numeric_limits<double>::min(),
- //_a = slice_sampler1d(a_log_prob, _a, mt_genrand_res53, std::numeric_limits<double>::min(),
- (double) 1.0, (double) 0.0, niterations, 100*niterations);
-}
-
-#endif
diff --git a/gi/pyp-topics/src/slice-sampler.h b/gi/pyp-topics/src/slice-sampler.h
deleted file mode 100644
index 3108a0f7..00000000
--- a/gi/pyp-topics/src/slice-sampler.h
+++ /dev/null
@@ -1,192 +0,0 @@
-//! slice-sampler.h is an MCMC slice sampler
-//!
-//! Mark Johnson, 1st August 2008
-
-#ifndef SLICE_SAMPLER_H
-#define SLICE_SAMPLER_H
-
-#include <algorithm>
-#include <cassert>
-#include <cmath>
-#include <iostream>
-#include <limits>
-
-//! slice_sampler_rfc_type{} returns the value of a user-specified
-//! function if the argument is within range, or - infinity otherwise
-//
-template <typename F, typename Fn, typename U>
-struct slice_sampler_rfc_type {
- F min_x, max_x;
- const Fn& f;
- U max_nfeval, nfeval;
- slice_sampler_rfc_type(F min_x, F max_x, const Fn& f, U max_nfeval)
- : min_x(min_x), max_x(max_x), f(f), max_nfeval(max_nfeval), nfeval(0) { }
-
- F operator() (F x) {
- if (min_x < x && x < max_x) {
- assert(++nfeval <= max_nfeval);
- F fx = f(x);
- assert(std::isfinite(fx));
- return fx;
- }
- else
- return -std::numeric_limits<F>::infinity();
- }
-}; // slice_sampler_rfc_type{}
-
-//! slice_sampler1d() implements the univariate "range doubling" slice sampler
-//! described in Neal (2003) "Slice Sampling", The Annals of Statistics 31(3), 705-767.
-//
-template <typename F, typename LogF, typename Uniform01>
-F slice_sampler1d(const LogF& logF0, //!< log of function to sample
- F x, //!< starting point
- Uniform01& u01, //!< uniform [0,1) random number generator
- F min_x = -std::numeric_limits<F>::infinity(), //!< minimum value of support
- F max_x = std::numeric_limits<F>::infinity(), //!< maximum value of support
- F w = 0.0, //!< guess at initial width
- unsigned nsamples=1, //!< number of samples to draw
- unsigned max_nfeval=200) //!< max number of function evaluations
-{
- typedef unsigned U;
- slice_sampler_rfc_type<F,LogF,U> logF(min_x, max_x, logF0, max_nfeval);
-
- assert(std::isfinite(x));
-
- if (w <= 0.0) { // set w to a default width
- if (min_x > -std::numeric_limits<F>::infinity() && max_x < std::numeric_limits<F>::infinity())
- w = (max_x - min_x)/4;
- else
- w = std::max(((x < 0.0) ? -x : x)/4, (F) 0.1);
- }
- assert(std::isfinite(w));
-
- F logFx = logF(x);
- for (U sample = 0; sample < nsamples; ++sample) {
- F logY = logFx + log(u01()+1e-100); //! slice logFx at this value
- assert(std::isfinite(logY));
-
- F xl = x - w*u01(); //! lower bound on slice interval
- F logFxl = logF(xl);
- F xr = xl + w; //! upper bound on slice interval
- F logFxr = logF(xr);
-
- while (logY < logFxl || logY < logFxr) // doubling procedure
- if (u01() < 0.5)
- logFxl = logF(xl -= xr - xl);
- else
- logFxr = logF(xr += xr - xl);
-
- F xl1 = xl;
- F xr1 = xr;
- while (true) { // shrinking procedure
- F x1 = xl1 + u01()*(xr1 - xl1);
- if (logY < logF(x1)) {
- F xl2 = xl; // acceptance procedure
- F xr2 = xr;
- bool d = false;
- while (xr2 - xl2 > 1.1*w) {
- F xm = (xl2 + xr2)/2;
- if ((x < xm && x1 >= xm) || (x >= xm && x1 < xm))
- d = true;
- if (x1 < xm)
- xr2 = xm;
- else
- xl2 = xm;
- if (d && logY >= logF(xl2) && logY >= logF(xr2))
- goto unacceptable;
- }
- x = x1;
- goto acceptable;
- }
- goto acceptable;
- unacceptable:
- if (x1 < x) // rest of shrinking procedure
- xl1 = x1;
- else
- xr1 = x1;
- }
- acceptable:
- w = (4*w + (xr1 - xl1))/5; // update width estimate
- }
- return x;
-}
-
-/*
-//! slice_sampler1d() implements a 1-d MCMC slice sampler.
-//! It should be correct for unimodal distributions, but
-//! not for multimodal ones.
-//
-template <typename F, typename LogP, typename Uniform01>
-F slice_sampler1d(const LogP& logP, //!< log of distribution to sample
- F x, //!< initial sample
- Uniform01& u01, //!< uniform random number generator
- F min_x = -std::numeric_limits<F>::infinity(), //!< minimum value of support
- F max_x = std::numeric_limits<F>::infinity(), //!< maximum value of support
- F w = 0.0, //!< guess at initial width
- unsigned nsamples=1, //!< number of samples to draw
- unsigned max_nfeval=200) //!< max number of function evaluations
-{
- typedef unsigned U;
- assert(std::isfinite(x));
- if (w <= 0.0) {
- if (min_x > -std::numeric_limits<F>::infinity() && max_x < std::numeric_limits<F>::infinity())
- w = (max_x - min_x)/4;
- else
- w = std::max(((x < 0.0) ? -x : x)/4, 0.1);
- }
- // TRACE4(x, min_x, max_x, w);
- F logPx = logP(x);
- assert(std::isfinite(logPx));
- U nfeval = 1;
- for (U sample = 0; sample < nsamples; ++sample) {
- F x0 = x;
- F logU = logPx + log(u01()+1e-100);
- assert(std::isfinite(logU));
- F r = u01();
- F xl = std::max(min_x, x - r*w);
- F xr = std::min(max_x, x + (1-r)*w);
- // TRACE3(x, logPx, logU);
- while (xl > min_x && logP(xl) > logU) {
- xl -= w;
- w *= 2;
- ++nfeval;
- if (nfeval >= max_nfeval)
- std::cerr << "## Error: nfeval = " << nfeval << ", max_nfeval = " << max_nfeval << ", sample = " << sample << ", nsamples = " << nsamples << ", r = " << r << ", w = " << w << ", xl = " << xl << std::endl;
- assert(nfeval < max_nfeval);
- }
- xl = std::max(xl, min_x);
- while (xr < max_x && logP(xr) > logU) {
- xr += w;
- w *= 2;
- ++nfeval;
- if (nfeval >= max_nfeval)
- std::cerr << "## Error: nfeval = " << nfeval << ", max_nfeval = " << max_nfeval << ", sample = " << sample << ", nsamples = " << nsamples << ", r = " << r << ", w = " << w << ", xr = " << xr << std::endl;
- assert(nfeval < max_nfeval);
- }
- xr = std::min(xr, max_x);
- while (true) {
- r = u01();
- x = r*xl + (1-r)*xr;
- assert(std::isfinite(x));
- logPx = logP(x);
- // TRACE4(logPx, x, xl, xr);
- assert(std::isfinite(logPx));
- ++nfeval;
- if (nfeval >= max_nfeval)
- std::cerr << "## Error: nfeval = " << nfeval << ", max_nfeval = " << max_nfeval << ", sample = " << sample << ", nsamples = " << nsamples << ", r = " << r << ", w = " << w << ", xl = " << xl << ", xr = " << xr << ", x = " << x << std::endl;
- assert(nfeval < max_nfeval);
- if (logPx > logU)
- break;
- else if (x > x0)
- xr = x;
- else
- xl = x;
- }
- // w = (4*w + (xr-xl))/5; // gradually adjust w
- }
- // TRACE2(logPx, x);
- return x;
-} // slice_sampler1d()
-*/
-
-#endif // SLICE_SAMPLER_H
diff --git a/gi/pyp-topics/src/timing.h b/gi/pyp-topics/src/timing.h
deleted file mode 100644
index 08360b0f..00000000
--- a/gi/pyp-topics/src/timing.h
+++ /dev/null
@@ -1,37 +0,0 @@
-#ifndef TIMING_H
-#define TIMING_H
-
-#ifdef __CYGWIN__
-# ifndef _POSIX_MONOTONIC_CLOCK
-# define _POSIX_MONOTONIC_CLOCK
-// this modifies <time.h>
-# endif
-// in case someone included <time.h> before we got here (this is lifted from time.h>)
-# ifndef CLOCK_MONOTONIC
-# define CLOCK_MONOTONIC (clockid_t)4
-# endif
-#endif
-
-
-#include <time.h>
-#include <sys/time.h>
-#include "clock_gettime_stub.c"
-
-struct Timer {
- Timer() { Reset(); }
- void Reset()
- {
- clock_gettime(CLOCK_MONOTONIC, &start_t);
- }
- double Elapsed() const {
- timespec end_t;
- clock_gettime(CLOCK_MONOTONIC, &end_t);
- const double elapsed = (end_t.tv_sec - start_t.tv_sec)
- + (end_t.tv_nsec - start_t.tv_nsec) / 1000000000.0;
- return elapsed;
- }
- private:
- timespec start_t;
-};
-
-#endif
diff --git a/gi/pyp-topics/src/train-contexts.cc b/gi/pyp-topics/src/train-contexts.cc
deleted file mode 100644
index 9463f9fc..00000000
--- a/gi/pyp-topics/src/train-contexts.cc
+++ /dev/null
@@ -1,174 +0,0 @@
-// STL
-#include <iostream>
-#include <fstream>
-#include <algorithm>
-#include <iterator>
-
-// Boost
-#include <boost/program_options/parsers.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include <boost/scoped_ptr.hpp>
-
-// Local
-#include "pyp-topics.hh"
-#include "corpus.hh"
-#include "contexts_corpus.hh"
-#include "gzstream.hh"
-
-static const char *REVISION = "$Rev$";
-
-// Namespaces
-using namespace boost;
-using namespace boost::program_options;
-using namespace std;
-
-int main(int argc, char **argv)
-{
- cout << "Pitman Yor topic models: Copyright 2010 Phil Blunsom\n";
- cout << REVISION << '\n' <<endl;
-
- ////////////////////////////////////////////////////////////////////////////////////////////
- // Command line processing
- variables_map vm;
-
- // Command line processing
- {
- options_description cmdline_specific("Command line specific options");
- cmdline_specific.add_options()
- ("help,h", "print help message")
- ("config,c", value<string>(), "config file specifying additional command line options")
- ;
- options_description config_options("Allowed options");
- config_options.add_options()
- ("data,d", value<string>(), "file containing the documents and context terms")
- ("topics,t", value<int>()->default_value(50), "number of topics")
- ("document-topics-out,o", value<string>(), "file to write the document topics to")
- ("default-topics-out", value<string>(), "file to write default term topic assignments.")
- ("topic-words-out,w", value<string>(), "file to write the topic word distribution to")
- ("samples,s", value<int>()->default_value(10), "number of sampling passes through the data")
- ("backoff-type", value<string>(), "backoff type: none|simple")
-// ("filter-singleton-contexts", "filter singleton contexts")
- ("hierarchical-topics", "Use a backoff hierarchical PYP as the P0 for the document topics distribution.")
- ("freq-cutoff-start", value<int>()->default_value(0), "initial frequency cutoff.")
- ("freq-cutoff-end", value<int>()->default_value(0), "final frequency cutoff.")
- ("freq-cutoff-interval", value<int>()->default_value(0), "number of iterations between frequency decrement.")
- ("max-threads", value<int>()->default_value(1), "maximum number of simultaneous threads allowed")
- ("max-contexts-per-document", value<int>()->default_value(0), "Only sample the n most frequent contexts for a document.")
- ("num-jobs", value<int>()->default_value(1), "allows finer control over parallelization")
- ("temp-start", value<double>()->default_value(1.0), "starting annealing temperature.")
- ("temp-end", value<double>()->default_value(1.0), "end annealing temperature.")
- ;
-
- cmdline_specific.add(config_options);
-
- store(parse_command_line(argc, argv, cmdline_specific), vm);
- notify(vm);
-
- if (vm.count("config") > 0) {
- ifstream config(vm["config"].as<string>().c_str());
- store(parse_config_file(config, config_options), vm);
- }
-
- if (vm.count("help")) {
- cout << cmdline_specific << "\n";
- return 1;
- }
- }
- ////////////////////////////////////////////////////////////////////////////////////////////
-
- if (!vm.count("data")) {
- cerr << "Please specify a file containing the data." << endl;
- return 1;
- }
- assert(vm["max-threads"].as<int>() > 0);
- assert(vm["num-jobs"].as<int>() > -1);
- // seed the random number generator: 0 = automatic, specify value otherwise
- unsigned long seed = 0;
- PYPTopics model(vm["topics"].as<int>(), vm.count("hierarchical-topics"), seed, vm["max-threads"].as<int>(), vm["num-jobs"].as<int>());
-
- // read the data
- BackoffGenerator* backoff_gen=0;
- if (vm.count("backoff-type")) {
- if (vm["backoff-type"].as<std::string>() == "none") {
- backoff_gen = 0;
- }
- else if (vm["backoff-type"].as<std::string>() == "simple") {
- backoff_gen = new SimpleBackoffGenerator();
- }
- else {
- cerr << "Backoff type (--backoff-type) must be one of none|simple." <<endl;
- return(1);
- }
- }
-
- ContextsCorpus contexts_corpus;
- contexts_corpus.read_contexts(vm["data"].as<string>(), backoff_gen, /*vm.count("filter-singleton-contexts")*/ false);
- model.set_backoff(contexts_corpus.backoff_index());
-
- if (backoff_gen)
- delete backoff_gen;
-
- // train the sampler
- model.sample_corpus(contexts_corpus, vm["samples"].as<int>(),
- vm["freq-cutoff-start"].as<int>(),
- vm["freq-cutoff-end"].as<int>(),
- vm["freq-cutoff-interval"].as<int>(),
- vm["max-contexts-per-document"].as<int>(),
- vm["temp-start"].as<double>(), vm["temp-end"].as<double>());
-
- if (vm.count("document-topics-out")) {
- ogzstream documents_out(vm["document-topics-out"].as<string>().c_str());
-
- int document_id=0;
- map<int,int> all_terms;
- for (Corpus::const_iterator corpusIt=contexts_corpus.begin();
- corpusIt != contexts_corpus.end(); ++corpusIt, ++document_id) {
- vector<int> unique_terms;
- for (Document::const_iterator docIt=corpusIt->begin();
- docIt != corpusIt->end(); ++docIt) {
- if (unique_terms.empty() || *docIt != unique_terms.back())
- unique_terms.push_back(*docIt);
- // increment this terms frequency
- pair<map<int,int>::iterator,bool> insert_result = all_terms.insert(make_pair(*docIt,1));
- if (!insert_result.second)
- all_terms[*docIt] = all_terms[*docIt] + 1;
- //insert_result.first++;
- }
- documents_out << contexts_corpus.key(document_id) << '\t';
- documents_out << model.max(document_id).first << " " << corpusIt->size() << " ||| ";
- for (std::vector<int>::const_iterator termIt=unique_terms.begin();
- termIt != unique_terms.end(); ++termIt) {
- if (termIt != unique_terms.begin())
- documents_out << " ||| ";
- vector<std::string> strings = contexts_corpus.context2string(*termIt);
- copy(strings.begin(), strings.end(),ostream_iterator<std::string>(documents_out, " "));
- std::pair<int,PYPTopics::F> maxinfo = model.max(document_id, *termIt);
- documents_out << "||| C=" << maxinfo.first << " P=" << maxinfo.second;
-
- }
- documents_out <<endl;
- }
- documents_out.close();
-
- if (vm.count("default-topics-out")) {
- ofstream default_topics(vm["default-topics-out"].as<string>().c_str());
- default_topics << model.max_topic() <<endl;
- for (std::map<int,int>::const_iterator termIt=all_terms.begin(); termIt != all_terms.end(); ++termIt) {
- vector<std::string> strings = contexts_corpus.context2string(termIt->first);
- default_topics << model.max(-1, termIt->first).first << " ||| " << termIt->second << " ||| ";
- copy(strings.begin(), strings.end(),ostream_iterator<std::string>(default_topics, " "));
- default_topics <<endl;
- }
- }
- }
-
- if (vm.count("topic-words-out")) {
- ogzstream topics_out(vm["topic-words-out"].as<string>().c_str());
- model.print_topic_terms(topics_out);
- topics_out.close();
- }
-
- cout <<endl;
-
- return 0;
-}
diff --git a/gi/pyp-topics/src/train.cc b/gi/pyp-topics/src/train.cc
deleted file mode 100644
index db7ca46e..00000000
--- a/gi/pyp-topics/src/train.cc
+++ /dev/null
@@ -1,135 +0,0 @@
-// STL
-#include <iostream>
-#include <fstream>
-
-// Boost
-#include <boost/program_options/parsers.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include <boost/scoped_ptr.hpp>
-
-// Local
-#include "pyp-topics.hh"
-#include "corpus.hh"
-#include "contexts_corpus.hh"
-#include "gzstream.hh"
-
-static const char *REVISION = "$Rev$";
-
-// Namespaces
-using namespace boost;
-using namespace boost::program_options;
-using namespace std;
-
-int main(int argc, char **argv)
-{
- std::cout << "Pitman Yor topic models: Copyright 2010 Phil Blunsom\n";
- std::cout << REVISION << '\n' << std::endl;
-
- ////////////////////////////////////////////////////////////////////////////////////////////
- // Command line processing
- variables_map vm;
-
- // Command line processing
- options_description cmdline_specific("Command line specific options");
- cmdline_specific.add_options()
- ("help,h", "print help message")
- ("config,c", value<string>(), "config file specifying additional command line options")
- ;
- options_description generic("Allowed options");
- generic.add_options()
- ("documents,d", value<string>(), "file containing the documents")
- ("topics,t", value<int>()->default_value(50), "number of topics")
- ("document-topics-out,o", value<string>(), "file to write the document topics to")
- ("topic-words-out,w", value<string>(), "file to write the topic word distribution to")
- ("samples,s", value<int>()->default_value(10), "number of sampling passes through the data")
- ("test-corpus", value<string>(), "file containing the test data")
- ("backoff-paths", value<string>(), "file containing the term backoff paths")
- ;
- options_description config_options, cmdline_options;
- config_options.add(generic);
- cmdline_options.add(generic).add(cmdline_specific);
-
- store(parse_command_line(argc, argv, cmdline_options), vm);
- if (vm.count("config") > 0) {
- ifstream config(vm["config"].as<string>().c_str());
- store(parse_config_file(config, cmdline_options), vm);
- }
- notify(vm);
- ////////////////////////////////////////////////////////////////////////////////////////////
-
- if (vm.count("documents") == 0) {
- cerr << "Please specify a file containing the documents." << endl;
- cout << cmdline_options << "\n";
- return 1;
- }
-
- if (vm.count("help")) {
- cout << cmdline_options << "\n";
- return 1;
- }
-
- // seed the random number generator: 0 = automatic, specify value otherwise
- unsigned long seed = 0;
- PYPTopics model(vm["topics"].as<int>(), false, seed);
-
- // read the data
- Corpus corpus;
- corpus.read(vm["documents"].as<string>());
-
- // read the backoff dictionary
- if (vm.count("backoff-paths"))
- model.set_backoff(vm["backoff-paths"].as<string>());
-
- // train the sampler
- model.sample_corpus(corpus, vm["samples"].as<int>());
-
- if (vm.count("document-topics-out")) {
- ogzstream documents_out(vm["document-topics-out"].as<string>().c_str());
- //model.print_document_topics(documents_out);
-
- int document_id=0;
- for (Corpus::const_iterator corpusIt=corpus.begin();
- corpusIt != corpus.end(); ++corpusIt, ++document_id) {
- std::vector<int> unique_terms;
- for (Document::const_iterator docIt=corpusIt->begin();
- docIt != corpusIt->end(); ++docIt) {
- if (unique_terms.empty() || *docIt != unique_terms.back())
- unique_terms.push_back(*docIt);
- }
- documents_out << unique_terms.size();
- for (std::vector<int>::const_iterator termIt=unique_terms.begin();
- termIt != unique_terms.end(); ++termIt)
- documents_out << " " << *termIt << ":" << model.max(document_id, *termIt).first;
- documents_out << std::endl;
- }
- documents_out.close();
- }
-
- if (vm.count("topic-words-out")) {
- ogzstream topics_out(vm["topic-words-out"].as<string>().c_str());
- model.print_topic_terms(topics_out);
- topics_out.close();
- }
-
- if (vm.count("test-corpus")) {
- TestCorpus test_corpus;
- test_corpus.read(vm["test-corpus"].as<string>());
- ogzstream topics_out((vm["test-corpus"].as<string>() + ".topics.gz").c_str());
-
- for (TestCorpus::const_iterator corpusIt=test_corpus.begin();
- corpusIt != test_corpus.end(); ++corpusIt) {
- int index=0;
- for (DocumentTerms::const_iterator instanceIt=corpusIt->begin();
- instanceIt != corpusIt->end(); ++instanceIt, ++index) {
- int topic = model.max(instanceIt->doc, instanceIt->term).first;
- if (index != 0) topics_out << " ";
- topics_out << topic;
- }
- topics_out << std::endl;
- }
- topics_out.close();
- }
- std::cout << std::endl;
-
- return 0;
-}
diff --git a/gi/pyp-topics/src/utility.h b/gi/pyp-topics/src/utility.h
deleted file mode 100644
index 405a5b0a..00000000
--- a/gi/pyp-topics/src/utility.h
+++ /dev/null
@@ -1,962 +0,0 @@
-// utility.h
-//
-// (c) Mark Johnson, 24th January 2005
-//
-// modified 6th May 2002 to ensure write/read consistency, fixed 18th July 2002
-// modified 14th July 2002 to include insert() (generic inserter)
-// modified 26th September 2003 to use mapped_type instead of data_type
-// 25th August 2004 added istream >> const char*
-// 24th January 2005 added insert_newkey()
-//
-// Defines:
-// loop macros foreach, cforeach
-// dfind (default find function)
-// afind (find function that asserts key exists)
-// insert_newkey (inserts a new key into a map)
-// insert (generic inserter into standard data structures)
-// disjoint (set operation)
-// first_lessthan and second_lessthan (compares elements of pairs)
-//
-// Simplified interfaces to STL routines:
-//
-// includes (simplified interface)
-// set_intersection (simplified interface)
-// inserter (simplified interface)
-// max_element (simplified interface)
-// min_element (simplified interface)
-// hash functions for pairs, vectors, lists, slists and maps
-// input and output for pairs and vectors
-// resource_usage (interface improved)
-
-
-#ifndef UTILITY_H
-#define UTILITY_H
-
-#include <algorithm>
-// #include <boost/smart_ptr.hpp> // Comment out this line if boost is not used
-#include <cassert>
-#include <cmath>
-#include <cctype>
-#include <cstdio>
-#include <unordered_map>
-#include <unordered_set>
-#include <ext/slist>
-#include <iostream>
-#include <iterator>
-#include <list>
-#include <map>
-#include <set>
-#include <string>
-#include <utility>
-#include <vector>
-#include <memory>
-
-#if (__GNUC__ > 3) || (__GNUC__ >= 3 && __GNUC_MINOR__ >= 1)
-#define EXT_NAMESPACE __gnu_cxx
-#else
-#define EXT_NAMESPACE std
-#endif
-
-namespace ext = EXT_NAMESPACE;
-
-inline float power(float x, float y) { return powf(x, y); }
-inline double power(double x, double y) { return pow(x, y); }
-inline long double power(long double x, long double y) { return powl(x, y); }
-
-typedef unsigned U;
-typedef long double F; // slower than double, but underflows less
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// Looping constructs //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-// foreach is a simple loop construct
-//
-// STORE should be an STL container
-// TYPE is the typename of STORE
-// VAR will be defined as a local variable of type TYPE::iterator
-//
-#define foreach(TYPE, VAR, STORE) \
- for (TYPE::iterator VAR = (STORE).begin(); VAR != (STORE).end(); ++VAR)
-
-// cforeach is just like foreach, except that VAR is a const_iterator
-//
-// STORE should be an STL container
-// TYPE is the typename of STORE
-// VAR will be defined as a local variable of type TYPE::const_iterator
-//
-#define cforeach(TYPE, VAR, STORE) \
- for (TYPE::const_iterator VAR = (STORE).begin(); VAR != (STORE).end(); ++VAR)
-
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// Map searching //
-// //
-// dfind(map, key) returns the key's value in map, or map's default //
-// value if no such key exists (the default value is not inserted) //
-// //
-// afind(map, key) returns a reference to the key's value in map, and //
-// asserts that this value exists //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-// dfind(Map, Key) returns the value Map associates with Key, or the
-// Map's default value if no such Key exists
-//
-template <class Map, class Key>
-inline typename Map::mapped_type dfind(Map& m, const Key& k)
-{
- typename Map::iterator i = m.find(k);
- if (i == m.end())
- return typename Map::mapped_type();
- else
- return i->second;
-}
-
-template <class Map, class Key>
-inline const typename Map::mapped_type dfind(const Map& m, const Key& k)
-{
- typename Map::const_iterator i = m.find(k);
- if (i == m.end())
- return typename Map::mapped_type();
- else
- return i->second;
-}
-
-
-// afind(map, key) returns a reference to the value associated
-// with key in map. It uses assert to check that the key's value
-// is defined.
-//
-template <class Map, class Key>
-inline typename Map::mapped_type& afind(Map& m, const Key& k)
-{
- typename Map::iterator i = m.find(k);
- assert(i != m.end());
- return i->second;
-}
-
-template <class Map, class Key>
-inline const typename Map::mapped_type& afind(const Map& m, const Key& k)
-{
- typename Map::const_iterator i = m.find(k);
- assert(i != m.end());
- return i->second;
-}
-
-//! insert_newkey(map, key, value) checks that map does not contain
-//! key, and binds key to value.
-//
-template <class Map, class Key, class Value>
-inline typename Map::value_type&
-insert_newkey(Map& m, const Key& k,const Value& v)
-{
- std::pair<typename Map::iterator, bool> itb
- = m.insert(Map::value_type(k, v));
- assert(itb.second);
- return *(itb.first);
-} // insert_newkey()
-
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// Insert operations //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-
-template <typename T>
-void insert(std::list<T>& xs, const T& x) {
- xs.push_back(x);
-}
-
-template <typename T>
-void insert(std::set<T>& xs, const T& x) {
- xs.insert(x);
-}
-
-template <typename T>
-void insert(std::vector<T>& xs, const T& x) {
- xs.push_back(x);
-}
-
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// Additional versions of standard algorithms //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-template <typename Set1, typename Set2>
-inline bool includes(const Set1& set1, const Set2& set2)
-{
- return std::includes(set1.begin(), set1.end(), set2.begin(), set2.end());
-}
-
-template <typename Set1, typename Set2, typename Compare>
-inline bool includes(const Set1& set1, const Set2& set2, Compare comp)
-{
- return std::includes(set1.begin(), set1.end(), set2.begin(), set2.end(), comp);
-}
-
-
-template <typename InputIter1, typename InputIter2>
-bool disjoint(InputIter1 first1, InputIter1 last1,
- InputIter2 first2, InputIter2 last2)
-{
- while (first1 != last1 && first2 != last2)
- if (*first1 < *first2)
- ++first1;
- else if (*first2 < *first1)
- ++first2;
- else // *first1 == *first2
- return false;
- return true;
-}
-
-template <typename InputIter1, typename InputIter2, typename Compare>
-bool disjoint(InputIter1 first1, InputIter1 last1,
- InputIter2 first2, InputIter2 last2, Compare comp)
-{
- while (first1 != last1 && first2 != last2)
- if (comp(*first1, *first2))
- ++first1;
- else if (comp(*first2, *first1))
- ++first2;
- else // *first1 == *first2
- return false;
- return true;
-}
-
-template <typename Set1, typename Set2>
-inline bool disjoint(const Set1& set1, const Set2& set2)
-{
- return disjoint(set1.begin(), set1.end(), set2.begin(), set2.end());
-}
-
-template <typename Set1, typename Set2, typename Compare>
-inline bool disjoint(const Set1& set1, const Set2& set2, Compare comp)
-{
- return disjoint(set1.begin(), set1.end(), set2.begin(), set2.end(), comp);
-}
-
-
-template <typename Set1, typename Set2, typename OutputIterator>
-inline OutputIterator set_intersection(const Set1& set1, const Set2& set2,
- OutputIterator result)
-{
- return set_intersection(set1.begin(), set1.end(), set2.begin(), set2.end(), result);
-}
-
-template <typename Set1, typename Set2, typename OutputIterator, typename Compare>
-inline OutputIterator set_intersection(const Set1& set1, const Set2& set2,
- OutputIterator result, Compare comp)
-{
- return set_intersection(set1.begin(), set1.end(), set2.begin(), set2.end(), result, comp);
-}
-
-
-template <typename Container>
-inline std::insert_iterator<Container> inserter(Container& container)
-{
- return std::inserter(container, container.begin());
-}
-
-// max_element
-//
-template <class Es> inline typename Es::iterator max_element(Es& es)
-{
- return std::max_element(es.begin(), es.end());
-}
-
-template <class Es> inline typename Es::const_iterator max_element(const Es& es)
-{
- return std::max_element(es.begin(), es.end());
-}
-
-template <class Es, class BinaryPredicate>
-inline typename Es::iterator max_element(Es& es, BinaryPredicate comp)
-{
- return std::max_element(es.begin(), es.end(), comp);
-}
-
-template <class Es, class BinaryPredicate>
-inline typename Es::const_iterator max_element(const Es& es, BinaryPredicate comp)
-{
- return std::max_element(es.begin(), es.end(), comp);
-}
-
-// min_element
-//
-template <class Es> inline typename Es::iterator min_element(Es& es)
-{
- return std::min_element(es.begin(), es.end());
-}
-
-template <class Es> inline typename Es::const_iterator min_element(const Es& es)
-{
- return std::min_element(es.begin(), es.end());
-}
-
-template <class Es, class BinaryPredicate>
-inline typename Es::iterator min_element(Es& es, BinaryPredicate comp)
-{
- return std::min_element(es.begin(), es.end(), comp);
-}
-
-template <class Es, class BinaryPredicate>
-inline typename Es::const_iterator min_element(const Es& es, BinaryPredicate comp)
-{
- return std::min_element(es.begin(), es.end(), comp);
-}
-
-// first_lessthan and second_lessthan
-//
-struct first_lessthan {
- template <typename T1, typename T2>
- bool operator() (const T1& e1, const T2& e2) {
- return e1.first < e2.first;
- }
-};
-
-struct second_lessthan {
- template <typename T1, typename T2>
- bool operator() (const T1& e1, const T2& e2) {
- return e1.second < e2.second;
- }
-};
-
-// first_greaterthan and second_greaterthan
-//
-struct first_greaterthan {
- template <typename T1, typename T2>
- bool operator() (const T1& e1, const T2& e2) {
- return e1.first > e2.first;
- }
-};
-
-struct second_greaterthan {
- template <typename T1, typename T2>
- bool operator() (const T1& e1, const T2& e2) {
- return e1.second > e2.second;
- }
-};
-
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// hash<> specializations //
-// //
-// These must be in namespace std. They permit the corresponding STL //
-// container to be used as a key in an STL hash table. //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-//namespace EXT_NAMESPACE {
-namespace std {
- /*
- // hash function for bool
- //
- template <> struct hash<bool>
- {
- size_t operator() (bool b) const
- {
- return b;
- } // operator()
- }; // hash<bool>{}
-
- // hash function for double
- //
- template <> struct hash<double>
- {
- size_t operator() (double d) const
- {
- int exponent;
- double fraction = frexp(d, &exponent);
- return size_t(exponent) ^ size_t(1000000.0*(fabs(fraction-0.5)));
- } // operator()
- }; // hash<double>{}
-
- // hash function for strings
- //
- template <> struct hash<std::string>
- {
- size_t operator()(const std::string& s) const
- {
- typedef std::string::const_iterator CI;
-
- unsigned long h = 0;
- unsigned long g;
- CI p = s.begin();
- CI end = s.end();
-
- while (p!=end) {
- h = (h << 4) + (*p++);
- if ((g = h&0xf0000000)) {
- h = h ^ (g >> 24);
- h = h ^ g;
- }}
- return size_t(h);
- } // operator()
- }; // hash<string>{}
-
-*/
- // hash function for arbitrary pairs
- //
- template<class T1, class T2> struct hash<std::pair<T1,T2> > {
- size_t operator()(const std::pair<T1,T2>& p) const
- {
- size_t h1 = hash<T1>()(p.first);
- size_t h2 = hash<T2>()(p.second);
- return h1 ^ (h1 >> 1) ^ h2 ^ (h2 << 1);
- }
- };
-
-
- // hash function for vectors
- //
- template<class T> struct hash<std::vector<T> >
- { // This is the fn hashpjw of Aho, Sethi and Ullman, p 436.
- size_t operator()(const std::vector<T>& s) const
- {
- typedef typename std::vector<T>::const_iterator CI;
-
- unsigned long h = 0;
- unsigned long g;
- CI p = s.begin();
- CI end = s.end();
-
- while (p!=end) {
- h = (h << 5) + hash<T>()(*p++);
- if ((g = h&0xff000000)) {
- h = h ^ (g >> 23);
- h = h ^ g;
- }}
- return size_t(h);
- }
- };
-
- // hash function for slists
- //
- template<class T> struct hash<ext::slist<T> >
- { // This is the fn hashpjw of Aho, Sethi and Ullman, p 436.
- size_t operator()(const ext::slist<T>& s) const
- {
- typedef typename ext::slist<T>::const_iterator CI;
-
- unsigned long h = 0;
- unsigned long g;
- CI p = s.begin();
- CI end = s.end();
-
- while (p!=end) {
- h = (h << 7) + hash<T>()(*p++);
- if ((g = h&0xff000000)) {
- h = h ^ (g >> 23);
- h = h ^ g;
- }}
- return size_t(h);
- }
- };
-
- // hash function for maps
- //
- template<typename T1, typename T2> struct hash<std::map<T1,T2> >
- {
- size_t operator()(const std::map<T1,T2>& m) const
- {
- typedef typename std::map<T1,T2> M;
- typedef typename M::const_iterator CI;
-
- unsigned long h = 0;
- unsigned long g;
- CI p = m.begin();
- CI end = m.end();
-
- while (p != end) {
- h = (h << 11) + hash<typename M::value_type>()(*p++);
- if ((g = h&0xff000000)) {
- h = h ^ (g >> 23);
- h = h ^ g;
- }}
- return size_t(h);
- }
- };
-
-} // namespace EXT_NAMESPACE
-
-
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// Write/Read code //
-// //
-// These routines should possess write/read invariance IF their elements //
-// also have write-read invariance. Whitespace, '(' and ')' are used as //
-// delimiters. //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-
-// Define istream >> const char* so that it consumes the characters from the
-// istream. Just as in scanf, a space consumes an arbitrary amount of whitespace.
-//
-inline std::istream& operator>> (std::istream& is, const char* cp)
-{
- if (*cp == '\0')
- return is;
- else if (*cp == ' ') {
- char c;
- if (is.get(c)) {
- if (isspace(c))
- return is >> cp;
- else {
- is.unget();
- return is >> (cp+1);
- }
- }
- else {
- is.clear(is.rdstate() & ~std::ios::failbit); // clear failbit
- return is >> (cp+1);
- }
- }
- else {
- char c;
- if (is.get(c)) {
- if (c == *cp)
- return is >> (cp+1);
- else {
- is.unget();
- is.setstate(std::ios::failbit);
- }
- }
- return is;
- }
-}
-
-
-// Write out an auto_ptr object just as you would write out the pointer object
-//
-template <typename T>
-inline std::ostream& operator<<(std::ostream& os, const std::auto_ptr<T>& sp)
-{
- return os << sp.get();
-}
-
-
-// Pairs
-//
-template <class T1, class T2>
-std::ostream& operator<< (std::ostream& os, const std::pair<T1,T2>& p)
-{
- return os << '(' << p.first << ' ' << p.second << ')';
-}
-
-template <class T1, class T2>
-std::istream& operator>> (std::istream& is, std::pair<T1,T2>& p)
-{
- char c;
- if (is >> c) {
- if (c == '(') {
- if (is >> p.first >> p.second >> c && c == ')')
- return is;
- else
- is.setstate(std::ios::badbit);
- }
- else
- is.putback(c);
- }
- is.setstate(std::ios::failbit);
- return is;
-}
-
-// Lists
-//
-template <class T>
-std::ostream& operator<< (std::ostream& os, const std::list<T>& xs)
-{
- os << '(';
- for (typename std::list<T>::const_iterator xi = xs.begin(); xi != xs.end(); ++xi) {
- if (xi != xs.begin())
- os << ' ';
- os << *xi;
- }
- return os << ')';
-}
-
-template <class T>
-std::istream& operator>> (std::istream& is, std::list<T>& xs)
-{
- char c; // This code avoids unnecessary copy
- if (is >> c) { // read the initial '('
- if (c == '(') {
- xs.clear(); // clear the list
- do {
- xs.push_back(T()); // create a new elt in list
- is >> xs.back(); // read element
- }
- while (is.good()); // read as long as possible
- xs.pop_back(); // last read failed; pop last elt
- is.clear(is.rdstate() & ~std::ios::failbit); // clear failbit
- if (is >> c && c == ')') // read terminating ')'
- return is; // successful return
- else
- is.setstate(std::ios::badbit); // something went wrong, set badbit
- }
- else // c is not '('
- is.putback(c); // put c back into input
- }
- is.setstate(std::ios::failbit); // read failed, set failbit
- return is;
-}
-
-// Vectors
-//
-template <class T>
-std::ostream& operator<< (std::ostream& os, const std::vector<T>& xs)
-{
- os << '(';
- for (typename std::vector<T>::const_iterator xi = xs.begin(); xi != xs.end(); ++xi) {
- if (xi != xs.begin())
- os << ' ';
- os << *xi;
- }
- return os << ')';
-}
-
-template <class T>
-std::istream& operator>> (std::istream& is, std::vector<T>& xs)
-{
- char c; // This code avoids unnecessary copy
- if (is >> c) { // read the initial '('
- if (c == '(') {
- xs.clear(); // clear the list
- do {
- xs.push_back(T()); // create a new elt in list
- is >> xs.back(); // read element
- }
- while (is.good()); // read as long as possible
- xs.pop_back(); // last read failed; pop last elt
- is.clear(is.rdstate() & ~std::ios::failbit); // clear failbit
- if (is >> c && c == ')') // read terminating ')'
- return is; // successful return
- else
- is.setstate(std::ios::badbit); // something went wrong, set badbit
- }
- else // c is not '('
- is.putback(c); // put c back into input
- }
- is.setstate(std::ios::failbit); // read failed, set failbit
- return is;
-}
-
-// Slists
-//
-template <class T>
-std::ostream& operator<< (std::ostream& os, const ext::slist<T>& xs)
-{
- os << '(';
- for (typename ext::slist<T>::const_iterator xi = xs.begin(); xi != xs.end(); ++xi) {
- if (xi != xs.begin())
- os << ' ';
- os << *xi;
- }
- return os << ')';
-}
-
-template <class T>
-std::istream& operator>> (std::istream& is, ext::slist<T>& xs)
-{
- char c;
- if (is >> c) {
- if (c == '(') {
- xs.clear();
- T e;
- if (is >> e) {
- xs.push_front(e);
- typename ext::slist<T>::iterator xi = xs.begin();
- while (is >> e)
- xi = xs.insert_after(xi, e);
- is.clear(is.rdstate() & ~std::ios::failbit);
- if (is >> c && c == ')')
- return is;
- else
- is.setstate(std::ios::badbit);
- }
- else { // empty list
- is.clear(is.rdstate() & ~std::ios::failbit);
- if (is >> c && c == ')')
- return is;
- else // didn't see closing ')'
- is.setstate(std::ios::badbit);
- }
- }
- else // didn't read '('
- is.putback(c);
- }
- is.setstate(std::ios::failbit);
- return is;
-}
-
-// Sets
-//
-template <class T>
-std::ostream& operator<< (std::ostream& os, const std::set<T>& s)
-{
- os << '(';
- for (typename std::set<T>::const_iterator i = s.begin(); i != s.end(); ++i) {
- if (i != s.begin())
- os << ' ';
- os << *i;
- }
- return os << ')';
-}
-
-template <class T>
-std::istream& operator>> (std::istream& is, std::set<T>& s)
-{
- char c;
- if (is >> c) {
- if (c == '(') {
- s.clear();
- T e;
- while (is >> e)
- s.insert(e);
- is.clear(is.rdstate() & ~std::ios::failbit);
- if (is >> c && c == ')')
- return is;
- else
- is.setstate(std::ios::badbit);
- }
- else
- is.putback(c);
- }
- is.setstate(std::ios::failbit);
- return is;
-}
-
-// Hash_sets
-//
-template <class T>
-std::ostream& operator<< (std::ostream& os, const std::unordered_set<T>& s)
-{
- os << '(';
- for (typename std::unordered_set<T>::const_iterator i = s.begin(); i != s.end(); ++i) {
- if (i != s.begin())
- os << ' ';
- os << *i;
- }
- return os << ')';
-}
-
-template <class T>
-std::istream& operator>> (std::istream& is, std::unordered_set<T>& s)
-{
- char c;
- if (is >> c) {
- if (c == '(') {
- s.clear();
- T e;
- while (is >> e)
- s.insert(e);
- is.clear(is.rdstate() & ~std::ios::failbit);
- if (is >> c && c == ')')
- return is;
- else
- is.setstate(std::ios::badbit);
- }
- else
- is.putback(c);
- }
- is.setstate(std::ios::failbit);
- return is;
-}
-
-
-// Maps
-//
-template <class Key, class Value>
-std::ostream& operator<< (std::ostream& os, const std::map<Key,Value>& m)
-{
- typedef std::map<Key,Value> M;
- os << '(';
- for (typename M::const_iterator it = m.begin(); it != m.end(); ++it) {
- if (it != m.begin())
- os << ' ';
- os << *it;
- }
- return os << ")";
-}
-
-template <class Key, class Value>
-std::istream& operator>> (std::istream& is, std::map<Key,Value>& m)
-{
- char c;
- if (is >> c) {
- if (c == '(') {
- m.clear();
- std::pair<Key,Value> e;
- while (is >> e)
- m.insert(e);
- is.clear(is.rdstate() & ~std::ios::failbit);
- if (is >> c && c == ')')
- return is;
- else
- is.setstate(std::ios::badbit);
- }
- else
- is.putback(c);
- }
- is.setstate(std::ios::failbit);
- return is;
-}
-
-// Hash_maps
-//
-template <class Key, class Value>
-std::ostream& operator<< (std::ostream& os, const std::unordered_map<Key,Value>& m)
-{
- typedef std::unordered_map<Key,Value> M;
- os << '(';
- for (typename M::const_iterator it = m.begin(); it != m.end(); ++it) {
- if (it != m.begin())
- os << ' ';
- os << *it;
- }
- return os << ")";
-}
-
-template <class Key, class Value>
-std::istream& operator>> (std::istream& is, std::unordered_map<Key,Value>& m)
-{
- char c;
- if (is >> c) {
- if (c == '(') {
- m.clear();
- std::pair<Key,Value> e;
- while (is >> e)
- m.insert(e);
- is.clear(is.rdstate() & ~std::ios::failbit);
- if (is >> c && c == ')')
- return is;
- else
- is.setstate(std::ios::badbit);
- }
- else
- is.putback(c);
- }
- is.setstate(std::ios::failbit);
- return is;
-}
-
-
-///////////////////////////////////////////////////////////////////////////
-// //
-// Boost library additions //
-// //
-///////////////////////////////////////////////////////////////////////////
-
-#ifdef BOOST_SHARED_PTR_HPP_INCLUDED
-
-// enhancements to boost::shared_ptr so it can be used with hash
-//
-namespace std {
- template <typename T> struct equal_to<boost::shared_ptr<T> >
- : public binary_function<boost::shared_ptr<T>, boost::shared_ptr<T>, bool> {
- bool operator() (const boost::shared_ptr<T>& p1, const boost::shared_ptr<T>& p2) const {
- return equal_to<T*>()(p1.get(), p2.get());
- }
- };
-} // namespace std
-
-//namespace EXT_NAMESPACE {
-namespace std {
- template <typename T> struct hash<boost::shared_ptr<T> > {
- size_t operator() (const boost::shared_ptr<T>& a) const {
- return hash<T*>()(a.get());
- }
- };
-} // namespace ext
-
-template <typename T>
-inline std::ostream& operator<< (std::ostream& os, const boost::shared_ptr<T>& sp)
-{
- return os << sp.get();
-}
-
-#endif // BOOST_SHARED_PTR_HPP_INCLUDED
-
-struct resource_usage { };
-
-#ifndef __i386
-inline std::ostream& operator<< (std::ostream& os, resource_usage r)
-{
- return os;
-}
-#else // Assume we are on a 586 linux
-inline std::ostream& operator<< (std::ostream& os, resource_usage r)
-{
- FILE* fp = fopen("/proc/self/stat", "r");
- assert(fp);
- int utime;
- int stime;
- unsigned int vsize;
- unsigned int rss;
- int result =
- fscanf(fp, "%*d %*s %*c %*d %*d %*d %*d %*d %*u %*u %*u %*u %*u %d %d %*d %*d %*d %*d"
- "%*u %*u %*d %u %u", &utime, &stime, &vsize, &rss);
- assert(result == 4);
- fclose(fp);
- // s << "utime = " << utime << ", stime = " << stime << ", vsize = " << vsize << ", rss = " << rss
- ;
- // return s << "utime = " << utime << ", vsize = " << vsize;
- return os << "utime " << float(utime)/1.0e2 << "s, vsize "
- << float(vsize)/1048576.0 << " Mb.";
-}
-#endif
-
-//! A default_value_type{} object is used to read an object from a stream,
-//! assigning a default value if the read fails. Users should not need to
-//! construct such objects, but should use default_value() instead.
-//
-template <typename object_type, typename default_type>
-struct default_value_type {
- object_type& object;
- const default_type defaultvalue;
- default_value_type(object_type& object, const default_type defaultvalue)
- : object(object), defaultvalue(defaultvalue) { }
-};
-
-//! default_value() is used to read an object from a stream, assigning a
-//! default value if the read fails. It returns a default_value_type{}
-//! object, which does the actual reading.
-//
-template <typename object_type, typename default_type>
-default_value_type<object_type,default_type>
-default_value(object_type& object, const default_type defaultvalue=default_type()) {
- return default_value_type<object_type,default_type>(object, defaultvalue);
-}
-
-//! This version of operator>>() reads default_value_type{} from an input stream.
-//
-template <typename object_type, typename default_type>
-std::istream& operator>> (std::istream& is,
- default_value_type<object_type, default_type> dv) {
- if (is) {
- if (is >> dv.object)
- ;
- else {
- is.clear(is.rdstate() & ~std::ios::failbit); // clear failbit
- dv.object = dv.defaultvalue;
- }
- }
- return is;
-}
-
-// inline F random1() { return rand()/(RAND_MAX+1.0); }
-inline F random1() { return mt_genrand_res53(); }
-
-#endif // UTILITY_H
diff --git a/gi/pyp-topics/src/workers.hh b/gi/pyp-topics/src/workers.hh
deleted file mode 100644
index 95b18947..00000000
--- a/gi/pyp-topics/src/workers.hh
+++ /dev/null
@@ -1,275 +0,0 @@
-/**
- Basic thread-pool tools using Boost.Thread.
- (Jan Botha, 7/2010)
-
- --Simple usage--
- Use SimpleWorker.
- Example, call a function that returns an int in a new thread:
- typedef boost::function<int()> JobType;
- JobType job = boost::bind(funcname);
- //or boost::bind(&class::funcname, this) for a member function
- SimpleWorker<JobType, int> worker(job);
- int result = worker.getResult(); //blocks until result is ready
-
- --Extended usage--
- Use WorkerPool, which uses Queuemt (a synchronized queue) and Worker.
- Example:
- (same context and typedef
- WorkerPool<JobType, int> pool(num_threads);
- JobType job = ...
- pool.addJob(job);
- ...
- pool.get_result(); //blocks until all workers are done, returns the some of their results.
-
- Jobs added to a WorkerPool need to be the same type. A WorkerPool instance should not be reused (e.g. adding jobs) after calling get_result().
-*/
-
-#ifndef WORKERS_HH
-#define WORKERS_HH
-
-#include <iostream>
-#include <boost/bind.hpp>
-#include <boost/function.hpp>
-#include <queue>
-#include <boost/ptr_container/ptr_vector.hpp>
-#include <boost/thread/thread.hpp>
-#include <boost/thread/mutex.hpp>
-#include <boost/thread/shared_mutex.hpp>
-#include <boost/thread/future.hpp>
-#include <boost/thread/condition.hpp>
-
-#include <boost/date_time/posix_time/posix_time_types.hpp>
-#include "timing.h"
-
-/** Implements a synchronized queue*/
-template<typename J>
-class Queuemt
-{
-
-public:
- boost::condition_variable_any cond;
- const bool& running;
-
- Queuemt() { }
- Queuemt(const bool& running) : running(running), maxsize(0), qsize(0)
- {
- }
-
- ~Queuemt() {
- }
-
- J pop()
- {
- J job;
- {
- boost::unique_lock<boost::shared_mutex> qlock(q_mutex);
- while (running && qsize == 0)
- cond.wait(qlock);
-
- if (qsize > 0)
- {
- job = q.front();
- q.pop();
- --qsize;
- }
- }
- if (job)
- cond.notify_one();
- return job;
-
- }
-
- void push(J job)
- {
- {
- boost::unique_lock<boost::shared_mutex> lock(q_mutex);
- q.push(job);
- ++qsize;
- }
- if (qsize > maxsize)
- maxsize = qsize;
-
- cond.notify_one();
- }
-
- int getMaxsize()
- {
- return maxsize;
- }
-
- int size()
- {
- return qsize;
- }
-
-private:
- boost::shared_mutex q_mutex;
- std::queue<J> q;
- int maxsize;
- volatile int qsize;
-};
-
-
-template<typename J, typename R>
-class Worker
-{
-typedef boost::packaged_task<R> PackagedTask;
-public:
- Worker(Queuemt<J>& queue, int id, int num_workers) :
- q(queue), tasktime(0.0), id(id), num_workers(num_workers)
- {
- PackagedTask task(boost::bind(&Worker<J, R>::run, this));
- future = task.get_future();
- boost::thread t(boost::move(task));
- }
-
- R run() //this is called upon thread creation
- {
- R wresult = 0;
- while (isRunning())
- {
- J job = q.pop();
-
- if (job)
- {
- timer.Reset();
- wresult += job();
- tasktime += timer.Elapsed();
- }
- }
- return wresult;
- }
-
- R getResult()
- {
- if (!future.is_ready())
- future.wait();
- assert(future.is_ready());
- return future.get();
- }
-
- double getTaskTime()
- {
- return tasktime;
- }
-
-private:
-
- Queuemt<J>& q;
-
- boost::unique_future<R> future;
-
- bool isRunning()
- {
- return q.running || q.size() > 0;
- }
-
- Timer timer;
- double tasktime;
- int id;
- int num_workers;
-};
-
-template<typename J, typename R>
-class WorkerPool
-{
-typedef boost::packaged_task<R> PackagedTask;
-typedef Worker<J,R> WJR;
-typedef boost::ptr_vector<WJR> WorkerVector;
-public:
-
- WorkerPool(int num_workers)
- {
- q.reset(new Queuemt<J>(running));
- running = true;
- for (int i = 0; i < num_workers; ++i)
- workers.push_back( new Worker<J, R>(*q, i, num_workers) );
- }
-
- ~WorkerPool()
- {
- }
-
- R get_result()
- {
- running = false;
- q->cond.notify_all();
- R tmp = 0;
- double tasktime = 0.0;
- for (typename WorkerVector::iterator it = workers.begin(); it != workers.end(); it++)
- {
- R res = it->getResult();
- tmp += res;
- //std::cerr << "tasktime: " << it->getTaskTime() << std::endl;
- tasktime += it->getTaskTime();
- }
-// std::cerr << " maxQ = " << q->getMaxsize() << std::endl;
- return tmp;
- }
-
- void addJob(J job)
- {
- q->push(job);
- }
-
-private:
-
- WorkerVector workers;
-
- boost::shared_ptr<Queuemt<J> > q;
-
- bool running;
-};
-
-///////////////////
-template <typename J, typename R>
-class SimpleWorker
-{
-typedef boost::packaged_task<R> PackagedTask;
-public:
- SimpleWorker(J& job) : job(job), tasktime(0.0)
- {
- PackagedTask task(boost::bind(&SimpleWorker<J, R>::run, this));
- future = task.get_future();
- boost::thread t(boost::move(task));
- }
-
- R run() //this is called upon thread creation
- {
- R wresult = 0;
-
- assert(job);
- timer.Reset();
- wresult = job();
- tasktime = timer.Elapsed();
- std::cerr << tasktime << " s" << std::endl;
- return wresult;
- }
-
- R getResult()
- {
- if (!future.is_ready())
- future.wait();
- assert(future.is_ready());
- return future.get();
- }
-
- double getTaskTime()
- {
- return tasktime;
- }
-
-private:
-
- J job;
-
- boost::unique_future<R> future;
-
- Timer timer;
- double tasktime;
-
-};
-
-
-
-#endif