From 99468e022ed1b0854b7dcc70eb00bba6940e5bb8 Mon Sep 17 00:00:00 2001
From: "trevor.cohn" <trevor.cohn@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Mon, 12 Jul 2010 16:38:52 +0000
Subject: Code for evaluating clusterings

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@222 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 gi/evaluation/evaluate_entropy.py   |  46 ++++
 gi/evaluation/extract_ccg_labels.py | 100 ++++++++
 gi/evaluation/tree.py               | 485 ++++++++++++++++++++++++++++++++++++
 3 files changed, 631 insertions(+)
 create mode 100644 gi/evaluation/evaluate_entropy.py
 create mode 100644 gi/evaluation/extract_ccg_labels.py
 create mode 100644 gi/evaluation/tree.py

diff --git a/gi/evaluation/evaluate_entropy.py b/gi/evaluation/evaluate_entropy.py
new file mode 100644
index 00000000..88533544
--- /dev/null
+++ b/gi/evaluation/evaluate_entropy.py
@@ -0,0 +1,46 @@
+#!/usr/bin/env python
+
+import sys, math, itertools
+
+ginfile = open(sys.argv[1])
+pinfile = open(sys.argv[2])
+
+# evaluating: H(G | P) = sum_{g,p} p(g,p) log { p(p) / p(g,p) }
+#                      = sum_{g,p} c(g,p)/N { log c(p) - log N - log c(g,p) + log N }
+#                      = 1/N sum_{g,p} c(g,p) { log c(p) - log c(g,p) }
+# where G = gold, P = predicted, N = number of events
+
+N = 0
+gold_frequencies = {}
+predict_frequencies = {}
+joint_frequencies = {}
+
+for gline, pline in itertools.izip(ginfile, pinfile):
+    gparts = gline.split('||| ')[1].split()
+    pparts = pline.split('||| ')[1].split()
+    assert len(gparts) == len(pparts)
+
+    for gpart, ppart in zip(gparts, pparts):
+        gtag = gpart.split(':',1)[1]
+        ptag = ppart.split(':',1)[1]
+
+        joint_frequencies.setdefault((gtag, ptag), 0)
+        joint_frequencies[gtag,ptag] += 1
+
+        predict_frequencies.setdefault(ptag, 0)
+        predict_frequencies[ptag] += 1
+
+        gold_frequencies.setdefault(gtag, 0)
+        gold_frequencies[gtag] += 1
+
+        N += 1
+
+hg2p = 0
+hp2g = 0
+for (gtag, ptag), cgp in joint_frequencies.items():
+    hp2g += cgp * (math.log(predict_frequencies[ptag], 2) - math.log(cgp, 2))
+    hg2p += cgp * (math.log(gold_frequencies[gtag], 2) - math.log(cgp, 2))
+hg2p /= N
+hp2g /= N
+
+print 'H(P|G)', hg2p, 'H(G|P)', hp2g, 'VI', hg2p + hp2g
diff --git a/gi/evaluation/extract_ccg_labels.py b/gi/evaluation/extract_ccg_labels.py
new file mode 100644
index 00000000..014e0399
--- /dev/null
+++ b/gi/evaluation/extract_ccg_labels.py
@@ -0,0 +1,100 @@
+#!/usr/bin/env python
+
+#
+# Takes spans input along with treebank and spits out CG style categories for each span.
+#   spans = output from CDEC's extools/extractor with --base_phrase_spans option
+#   treebank = PTB format, one tree per line
+# 
+# Output is in CDEC labelled-span format
+#
+
+import sys, itertools, tree
+
+tinfile = open(sys.argv[1])
+einfile = open(sys.argv[2])
+
+def number_leaves(node, next=0):
+    left, right = None, None
+    for child in node.children:
+        l, r = number_leaves(child, next)
+        next = max(next, r+1)
+        if left == None or l < left:
+            left = l
+        if right == None or r > right:
+            right = r
+
+    #print node, left, right, next
+    if left == None or right == None:
+        assert not node.children
+        left = right = next
+
+    node.left = left
+    node.right = right
+
+    return left, right
+
+def ancestor(node, indices):
+    #print node, node.left, node.right, indices
+    # returns the deepest node covering all the indices
+    if min(indices) >= node.left and max(indices) <= node.right:
+        # try the children
+        for child in node.children:
+            x = ancestor(child, indices)
+            if x: return x
+        return node
+    else:
+        return None
+
+def frontier(node, indices):
+    #print 'frontier for node', node, 'indices', indices
+    if node.left > max(indices) or node.right < min(indices):
+        #print '\toutside'
+        return [node]
+    elif node.children:
+        #print '\tcovering at least part'
+        ns = []
+        for child in node.children:
+            n = frontier(child, indices)
+            ns.extend(n)
+        return ns
+    else:
+        return [node]
+
+for tline, eline in itertools.izip(tinfile, einfile):
+    if tline.strip() != '(())':
+        if tline.startswith('( '):
+            tline = tline[2:-1].strip()
+        tr = tree.parse_PST(tline)
+        number_leaves(tr)
+    else:
+        tr = None
+    
+    zh, en, spans = eline.strip().split(" ||| ")
+    print '|||',
+    for span in spans.split():
+        i, j, x, y = map(int, span.split("-"))
+
+        if tr:
+            a = ancestor(tr, range(x,y))
+            fs = frontier(a, range(x,y))
+
+            #print x, y
+            #print 'ancestor', a
+            #print 'frontier', fs
+
+            cat = a.data.tag
+            for f in fs:
+                if f.right < x:
+                    cat += '\\' + f.data.tag
+                else:
+                    break
+            for f in reversed(fs):
+                if f.left >= y:
+                    cat += '/' + f.data.tag
+                else:
+                    break
+        else:
+            cat = 'FAIL'
+            
+        print '%d-%d:%s' % (x, y, cat),
+    print
diff --git a/gi/evaluation/tree.py b/gi/evaluation/tree.py
new file mode 100644
index 00000000..702d80b6
--- /dev/null
+++ b/gi/evaluation/tree.py
@@ -0,0 +1,485 @@
+import re, sys
+
+class Symbol:
+    def __init__(self, nonterm, term=None, var=None):
+        assert not (term != None and var != None)
+        self.tag = nonterm
+        self.token = term
+        self.variable = var
+
+    def is_variable(self):
+        return self.variable != None
+
+    def __eq__(self, other):
+        return self.tag == other.tag and self.token == other.token and self.variable == other.variable
+
+    def __ne__(self, other):
+        return not (self == other)
+
+    def __hash__(self):
+        return hash((self.tag, self.token, self.variable))
+
+    def __repr__(self):
+        return str(self)
+
+    def __cmp__(self, other):
+        return cmp((self.tag, self.token, self.variable),
+                   (other.tag, other.token, other.variable))
+
+    def __str__(self):
+        parts = []
+	if False: # DEPENDENCY
+	    if self.token:
+		parts.append(str(self.token))
+	    elif self.variable != None:
+		parts.append('#%d' % self.variable)
+	    if self.tag:
+		parts.append(str(self.tag))
+	    return '/'.join(parts)
+	else:
+	    if self.tag:
+		parts.append(str(self.tag))
+	    if self.token:
+		parts.append(str(self.token))
+	    elif self.variable != None:
+		parts.append('#%d' % self.variable)
+	    return ' '.join(parts)
+
+class TreeNode:
+    def __init__(self, data, children=None, order=-1):
+        self.data = data
+        self.children = []
+        self.order = order
+        self.parent = None
+        if children: self.children = children
+
+    def insert(self, child):
+        self.children.append(child)
+        child.parent = self
+
+    def leaves(self):
+        ls = []
+        for node in self.xtraversal():
+            if not node.children:
+                ls.append(node.data)
+        return ls
+
+    def leaf_nodes(self):
+        ls = []
+        for node in self.xtraversal():
+            if not node.children:
+                ls.append(node)
+        return ls
+
+    def max_depth(self):
+        d = 1
+        for child in self.children:
+            d = max(d, 1 + child.max_depth())
+        if not self.children and self.data.token:
+            d = 2
+        return d
+
+    def max_width(self):
+        w = 0
+        for child in self.children:
+           w += child.max_width()
+        return max(1, w)
+
+    def num_internal_nodes(self):
+        if self.children:
+            n = 1
+            for child in self.children:
+                n += child.num_internal_nodes()
+            return n
+        elif self.data.token:
+            return 1
+        else:
+            return 0
+
+    def postorder_traversal(self, visit):
+        """
+	Postorder traversal; no guarantee that terminals will be read in the
+	correct order for dep. trees.
+        """
+        for child in self.children:
+            child.traversal(visit)
+	visit(self)
+
+    def traversal(self, visit):
+        """
+        Preorder for phrase structure trees, and inorder for dependency trees.
+        In both cases the terminals will be read off in the correct order.
+        """
+        visited_self = False
+        if self.order <= 0:
+            visited_self = True
+            visit(self)
+
+        for i, child in enumerate(self.children):
+            child.traversal(visit)
+            if i + 1 == self.order:
+                visited_self = True
+                visit(self)
+
+        assert visited_self
+
+    def xpostorder_traversal(self):
+        for child in self.children:
+            for node in child.xpostorder_traversal():
+                yield node
+        yield self
+
+    def xtraversal(self):
+        visited_self = False
+        if self.order <= 0:
+            visited_self = True
+            yield self
+
+        for i, child in enumerate(self.children):
+            for d in child.xtraversal():
+                yield d
+
+            if i + 1 == self.order:
+                visited_self = True
+                yield self
+
+        assert visited_self
+
+    def xpostorder_traversal(self):
+        for i, child in enumerate(self.children):
+            for d in child.xpostorder_traversal():
+                yield d
+        yield self
+
+    def edges(self):
+        es = []
+        self.traverse_edges(lambda h,c: es.append((h,c)))
+        return es
+
+    def traverse_edges(self, visit):
+        for child in self.children:
+            visit(self.data, child.data)
+            child.traverse_edges(visit)
+
+    def subtrees(self, include_self=False):
+        st = []
+        if include_self:
+            stack = [self]
+        else:
+            stack = self.children[:]
+
+        while stack:
+            node = stack.pop()
+            st.append(node)
+            stack.extend(node.children)
+        return st
+
+    def find_parent(self, node):
+        try:
+            index = self.children.index(node)
+            return self, index
+        except ValueError:
+            for child in self.children:
+                if isinstance(child, TreeNode):
+                    r = child.find_parent(node)
+                    if r: return r
+        return None
+
+    def is_ancestor_of(self, node):
+        if self == node:
+            return True
+        for child in self.children:
+            if child.is_ancestor_of(child):
+                return True
+        return False
+
+    def find(self, node):
+        if self == node:
+            return self
+        for child in self.children:
+            if isinstance(child, TreeNode):
+                r = child.find(node)
+                if r: return r
+            else:
+                if child == node:
+                   return r
+        return None
+
+    def equals_ignorecase(self, other):
+        if not isinstance(other, TreeNode):
+            return False
+        if self.data != other.data:
+            return False
+        if len(self.children) != len(other.children):
+            return False
+        for mc, oc in zip(self.children, other.children):
+            if isinstance(mc, TreeNode):
+                if not mc.equals_ignorecase(oc):
+                    return False
+            else:
+                if mc.lower() != oc.lower():
+                    return False
+        return True
+
+    def node_number(self, numbering, next=0):
+        if self.order <= 0:
+            numbering[id(self)] = next
+            next += 1
+
+        for i, child in enumerate(self.children):
+            next = child.node_number(numbering, next)
+            if i + 1 == self.order:
+                numbering[id(self)] = next
+                next += 1
+
+        return next
+
+    def display_conll(self, out):
+        numbering = {}
+        self.node_number(numbering)
+        next = 0
+        self.children[0].traversal(lambda x: \
+            out.write('%d\t%s\t%s\t%s\t%s\t_\t%d\tLAB\n' \
+             % (numbering[id(x)], x.data.token, x.data.token, 
+                x.data.tag, x.data.tag, numbering[id(x.parent)])))
+        out.write('\n')
+
+    def size(self):
+        sz = 1 
+        for child in self.children:
+            sz += child.size()
+        return sz
+
+    def __eq__(self, other):
+        if isinstance(other, TreeNode) and self.data == other.data \
+                and self.children == other.children:
+            return True
+        return False
+
+    def __cmp__(self, other):
+        if not isinstance(other, TreeNode): return 1
+        n = cmp(self.data, other.data)
+        if n != 0: return n
+        n = len(self.children) - len(other.children)
+        if n != 0: return n
+        for sc, oc in zip(self.children, other.children):
+            n = cmp(sc, oc)
+            if n != 0: return n
+        return 0
+
+    def __ne__(self, other):
+        return not self.__eq__(other)
+
+    def __hash__(self):
+        return hash((self.data, tuple(self.children)))
+
+    def __repr__(self):
+        return str(self)
+
+    def __str__(self):
+        s = '('
+        space = False
+        if self.order <= 0:
+            s += str(self.data)
+            space = True
+        for i, child in enumerate(self.children):
+            if space: s += ' '
+            s += str(child)
+            space = True
+            if i+1 == self.order:
+                s += ' ' + str(self.data)
+        return s + ')'
+
+def read_PSTs(fname):
+    infile = open(fname)
+    trees = []
+    for line in infile:
+        trees.append(parse_PST(line.strip()))
+    infile.close()
+    return trees
+
+def parse_PST_multiline(infile, hash_is_var=True):
+    buf = ''
+    num_open = 0
+    while True:
+        line = infile.readline()
+        if not line:
+            return None
+        buf += ' ' + line.rstrip()
+        num_open += line.count('(') - line.count(')')
+        if num_open == 0:
+            break
+
+    return parse_PST(buf, hash_is_var)
+
+def parse_PST(line, hash_is_var=True):
+    line = line.rstrip()
+    if not line or line.lower() == 'null':
+        return None
+
+    # allow either (a/DT) or (DT a)
+    #parts_re = re.compile(r'(\(*)([^/)]*)(?:/([^)]*))?(\)*)$')
+
+    # only allow (DT a)
+    parts_re = re.compile(r'(\(*)([^)]*)(\)*)$')
+
+    root = TreeNode(Symbol('TOP'))
+    stack = [root]
+    for part in line.rstrip().split():
+        m = parts_re.match(part)
+        #opening, tok_or_tag, tag, closing = m.groups()
+        opening, tok_or_tag, closing = m.groups()
+	tag = None
+        #print 'token', part, 'bits', m.groups()
+        for i in opening:
+            node = TreeNode(Symbol(None))
+            stack[-1].insert(node)
+            stack.append(node)
+
+        if tag:
+            stack[-1].data.tag = tag
+            if hash_is_var and tok_or_tag.startswith('#'):
+                stack[-1].data.variable = int(tok_or_tag[1:])
+            else:
+                stack[-1].data.token = tok_or_tag
+        else:
+            if stack[-1].data.tag == None:
+                stack[-1].data.tag = tok_or_tag
+            else:
+                if hash_is_var and tok_or_tag.startswith('#'):
+                    try:
+                        stack[-1].data.variable = int(tok_or_tag[1:])
+                    except ValueError: # it's really a token!
+                        #print >>sys.stderr, 'Warning: # used for token:', tok_or_tag
+                        stack[-1].data.token = tok_or_tag
+                else:
+                    stack[-1].data.token = tok_or_tag
+        
+        for i in closing:
+            stack.pop()
+
+    #assert str(root.children[0]) == line
+    return root.children[0]
+
+def read_DTs(fname):
+    infile = open(fname)
+    trees = []
+    while True:
+        t = parse_DT(infile)
+        if t: trees.append(t)
+        else: break
+    infile.close()
+    return trees
+
+def read_bracketed_DTs(fname):
+    infile = open(fname)
+    trees = []
+    for line in infile:
+        trees.append(parse_bracketed_DT(line))
+    infile.close()
+    return trees
+
+def parse_DT(infile):
+    tokens = [Symbol('ROOT')]
+    children = {}
+
+    for line in infile:
+        parts = line.rstrip().split()
+        #print parts
+        if not parts: break
+        index = len(tokens)
+        token = parts[1]
+        tag = parts[3]
+        parent = int(parts[6])
+        if token.startswith('#'):
+            tokens.append(Symbol(tag, var=int(token[1:])))
+        else:
+            tokens.append(Symbol(tag, token))
+        children.setdefault(parent, set()).add(index)
+
+    if len(tokens) == 1: return None
+
+    root = TreeNode(Symbol('ROOT'), [], 0)
+    schedule = []
+    for child in sorted(children[0]):
+        schedule.append((root, child))
+
+    while schedule:
+        parent, index = schedule[0]
+        del schedule[0]
+    
+        node = TreeNode(tokens[index])
+        node.order = 0
+        parent.insert(node)
+
+        for child in sorted(children.get(index, [])):
+            schedule.append((node, child))
+            if child < index:
+                node.order += 1
+
+    return root
+
+_bracket_split_re = re.compile(r'([(]*)([^)/]*)(?:/([^)]*))?([)]*)')
+
+def parse_bracketed_DT(line, insert_root=True):
+    line = line.rstrip()
+    if not line or line == 'NULL': return None
+    #print line
+
+    root = TreeNode(Symbol('ROOT'))
+    stack = [root]
+    for part in line.rstrip().split():
+        m = _bracket_split_re.match(part)
+
+        for c in m.group(1):
+            node = TreeNode(Symbol(None))
+            stack[-1].insert(node)
+            stack.append(node)
+
+        if m.group(3) != None:
+            if m.group(2).startswith('#'):
+                stack[-1].data.variable = int(m.group(2)[1:])
+            else:
+                stack[-1].data.token = m.group(2)
+            stack[-1].data.tag = m.group(3)
+        else:
+            stack[-1].data.tag = m.group(2)
+        stack[-1].order = len(stack[-1].children)
+        # FIXME: also check for vars
+
+        for c in m.group(4):
+            stack.pop()
+
+    assert len(stack) == 1
+    if not insert_root or root.children[0].data.tag == 'ROOT':
+        return root.children[0]
+    else:
+        return root
+
+_bracket_split_notag_re = re.compile(r'([(]*)([^)/]*)([)]*)')
+
+def parse_bracketed_untagged_DT(line):
+    line = line.rstrip()
+    if not line or line == 'NULL': return None
+
+    root = TreeNode(Symbol('TOP'))
+    stack = [root]
+    for part in line.rstrip().split():
+        m = _bracket_split_notag_re.match(part)
+
+        for c in m.group(1):
+            node = TreeNode(Symbol(None))
+            stack[-1].insert(node)
+            stack.append(node)
+
+        if stack[-1].data.token == None:
+            stack[-1].data.token = m.group(2)
+            stack[-1].order = len(stack[-1].children)
+        else:
+            child = TreeNode(Symbol(nonterm=None, term=m.group(2)))
+            stack[-1].insert(child)
+
+        for c in m.group(3):
+            stack.pop()
+
+    return root.children[0]
-- 
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