def finAPO ( ss , sp ):
"""
handle final apostrophes
arguments:
ss - character stream
sp - last char of word in stream
"""
lss = len(ss)
# print 'finAPO lss=' , lss , ss[sp:]
if lss > sp + 1:
# print 'ending=' , ss[sp:]
if ellyChar.isApostrophe(ss[sp+1]):
if lss > sp + 2:
# print 'ss=' , ss[sp:]
if ss[sp+2].lower() == 's':
if terminate(ss,sp+3,lss):
sp += 1
# print 'sp=' , sp
ss[sp] = "'"
return
if ss[sp].lower() == 's' and terminate(ss,sp+2,lss):
sp += 1
ss[sp] = Ls
def getRules ( self , a ):
"""
get appropriate macros for text with specified starting char
arguments:
self -
a - first letter of current buffer contents (NOT space!)
returns:
a list of unpacked macro rules to try out
"""
# print 'getRules(a=' , a , ')'
if a == '': return [ ]
if ellyChar.isLetterOrDigit(a):
k = ellyChar.toIndex(a)
ls = self.index[k]
# print 'index a=' , a , 'k=' , k
ws = self.letWx if ellyChar.isLetter(a) else self.digWx
uniqueAdd(ls,ws)
uniqueAdd(ls,self.anyWx)
elif ellyChar.isApostrophe(a):
ls = self.apoWx
else:
ls = self.index[0]
uniqueAdd(ls,self.anyWx)
# print len(ls) , ' rules to check'
return [ r.unpack() for r in ls ]
def finAPO(ss, sp):
"""
handle final apostrophes
arguments:
ss - character stream
sp - last char of word in stream
"""
lss = len(ss)
# print 'finAPO lss=' , lss , ss[sp:]
if lss > sp + 1:
# print 'ending=' , ss[sp:]
if ellyChar.isApostrophe(ss[sp + 1]):
if lss > sp + 2:
# print 'ss=' , ss[sp:]
if ss[sp + 2].lower() == 's':
if terminate(ss, sp + 3, lss):
sp += 1
# print 'sp=' , sp
ss[sp] = "'"
return
if ss[sp].lower() == 's' and terminate(ss, sp + 2, lss):
sp += 1
ss[sp] = Ls
def delimitKey ( t ):
"""
get part of term for vocabulary table indexing that
ends in alphanumeric or is a single nonalphanumeric
with special stripping of 'S at the end
arguments:
t - text string to scan
returns:
count of chars to put into search key
"""
ln = len(t) # number of chars in input text
if ln == 0: return 0
n = t.find(' ') # find rough range of key for SQLite in text
if n < 0: n = ln # if undivided by spaces, take everything
n -= 1 # index of last char in range
while n > 0: # scan input text backwards
c = t[n] # check char for alphanumeric
if ellyChar.isLetterOrDigit(c):
# print 'n=' , n , 'c=' , c
if n > 1: # check for 'S as special case!
if ( c in [ 's' , 'S' ] and
ellyChar.isApostrophe(t[n-1]) ):
# print 'drop \'S from SQLite key'
n -= 1
else:
break
else:
break
n -= 1 # continue scanning backwards
return n + 1 # to get key length ending in alphanumeric
def getRules(self, a):
"""
get appropriate macros for text with specified starting char
arguments:
self -
a - first letter of current buffer contents (NOT space!)
returns:
a list of unpacked macro rules to try out
"""
# print ( 'getRules(a=' , a , ')' )
if a == '': return []
if ellyChar.isLetterOrDigit(a):
k = ellyChar.toIndex(a)
ls = self.index[k]
# print ( 'index a=' , a , 'k=' , k )
ws = self.letWx if ellyChar.isLetter(a) else self.digWx
uniqueAdd(ls, ws)
uniqueAdd(ls, self.anyWx)
elif ellyChar.isApostrophe(a):
ls = self.apoWx
else:
ls = self.index[0]
uniqueAdd(ls, self.anyWx)
# print ( len(ls) , ' rules to check' )
return [r.unpack() for r in ls]
def simplify(self, strg):
"""
apply inflectional stemming to string
arguments:
self -
strg - input Unicode string
returns:
stemmed Unicode string
"""
if len(strg) < 4: return strg
if strg[-1] == "s" and ellyChar.isApostrophe(strg[-2]):
return strg[:-2]
else:
t = ellyToken.EllyToken(strg)
self.apply(t)
return t.toUnicode()
def delimitKey ( t ):
"""
get bounds of vocabulary table key for looking up a term
starting at the front of a given text string
with special stripping of 'S at the end
arguments:
t - text string to scan
returns:
count of chars to take for search key
"""
ln = len(t) # number of chars in input text
if ln == 0: return 0
if not ellyChar.isLetterOrDigit(t[0]): return 1
# print 'delimitKey t=' , t
k = t.find('-') # find rough range of SQLite key in text
n = t.find(' ') # delimited by either a hyphen or a space
if n < 0: n = ln # if space, take everything
if k > 1 and n > k: n = k # hyphen delimits if it comes first
n -= 1 # index of last char of candidate key
# print 'k=' , k , 'n=' , n
while n > 0: # scan input text backwards
c = t[n] # check char for alphanumeric
if ellyChar.isLetterOrDigit(c):
# print 'n=' , n , 'c=' , c
if n > 1: # check for 'S as special case!
if ( c in [ 's' , 'S' ] and
ellyChar.isApostrophe(t[n-1]) ):
# print 'drop \'S from SQLite key'
n -= 1
else:
break
else:
break
n -= 1 # continue scanning backwards
# print 'key=' , t[:n+1]
return n + 1 # to get key length ending in alphanumeric
def delimitKey(t):
"""
get bounds of vocabulary table key for looking up a term
starting at the front of a given text string
with special stripping of 'S at the end
arguments:
t - text string to scan
returns:
count of chars to take for search key
"""
ln = len(t) # number of chars in input text
if ln == 0: return 0
if not ellyChar.isLetterOrDigit(t[0]): return 1
# print ( 'delimitKey t=' , t )
k = t.find('-') # find rough range of SQLite key in text
n = t.find(' ') # delimited by either a hyphen or a space
if n < 0: n = ln # if space, take everything
if k > 1 and n > k: n = k # hyphen delimits if it comes first
n -= 1 # index of last char of candidate key
# print ( 'k=' , k , 'n=' , n )
while n > 0: # scan input text backwards
c = t[n] # check char for alphanumeric
if ellyChar.isLetterOrDigit(c):
# print ( 'n=' , n , 'c=' , c )
if n > 1: # check for 'S as special case!
if (c in ['s', 'S'] and ellyChar.isApostrophe(t[n - 1])):
# print ( 'drop \'S from SQLite key' )
n -= 1
else:
break
else:
break
n -= 1 # continue scanning backwards
# print ( 'key=' , t[:n+1] )
return n + 1 # to get key length ending in alphanumeric
def simplify ( self , strg ):
"""
apply inflectional stemming to string
arguments:
self -
strg - input Unicode string
returns:
stemmed Unicode string
"""
if len(strg) < 4: return strg
if strg[-1] == "s" and ellyChar.isApostrophe(strg[-2]):
return strg[:-2]
else:
t = ellyToken.EllyToken(strg)
self.apply(t)
return t.toUnicode()
def _scanText(self, k):
"""
try to match in buffer regardless of word boundaries
using Elly vocabulary, pattern, amd template tables an
also running Elly entity extractors
arguments:
self -
k - length of first component in buffer
returns:
match parameters [ text span of match , vocabulary match , suffix removed ]
exceptions:
ParseOverflow
"""
# print ( '_scanText k=' , k )
sb = self.sbu.buffer # input buffer
tr = self.ptr # parse tree for results
# print ( '_scanText sb=' , sb )
# initialize match status
nspan = 0 # total span of match
vmchs = [] # chars of vocabulary entry matched
suffx = '' # any suffix removed in match
d = self.rul # grammar rule definitions
m = d.ptb.match(sb, tr) # try token by pattern match next
# print ( 'pattern m=' , m )
if nspan < m:
nspan = m # on longer match, update maximum
m = d.ctb.match(sb, tr) # try multi-word template match next
# print ( 'template m=' , m )
if nspan < m:
nspan = m # on longer match, update maximum
m = self.iex.run(sb) # try entity extractors next
# print ( 'extractor m=' , m )
if nspan < m:
nspan = m # on longer match, update maximum
# print ( 'nspan=' , nspan, sb[:nspan] )
lm = len(sb) # scan limit
# print ( 'lm=' , lm , 'm=' , m )
capd = ellyChar.isUpperCaseLetter(sb[0])
# print ( 'next component=' , sb[:k] , ', context=' , sb[k:lm] )
if self.vtb != None: # look in external dictionary, if it exists
ls = list(sb[:k])
# print ( 'vtb ls 0=' , ls )
ellyChar.toLowerCaseASCII(ls)
ss = ''.join(ls) # where to start for vocabulary indexing
# print ( 'vtb ls 1=' , ls )
n = vocabularyTable.delimitKey(ss) # get actual indexing
# print ( 'delimiting n=' , n , ':' , '<' + ss[:n] + '>' )
# print ( vocabularyTable.listDBKeys(self.vtb.cdb) )
rl = self.vtb.lookUp(sb, n) # get list of the maximum text matches
# print ( 'external matches=' , len(rl) )
# print ( 'input text=' , sb )
if len(rl) > 0: #
r0 = rl[0] # look at first record
# print ( 'r0=' , r0 )
vmln = r0.nspan # should be same for all matches
vchs = r0.vem.chs #
vsfx = r0.suffx #
# print ( 'nspan=' , vmln , vsfx )
if (vmln > nspan or vmln == nspan and vsfx == ''):
nspan = vmln # keep vocabulary matches
vmchs = vchs #
suffx = vsfx #
for r in rl:
ve = r.vem # get vocabulary entry
# print ( 've=' , ve )
# if ve.gen != None: print ( 've.gen=' , ve.gen )
if tr.addLiteralPhraseWithSemantics(
ve.cat, ve.syf, ve.smf, ve.bia, ve.gen,
len(suffx) > 0):
tr.lastph.lens = nspan # char length of leaf phrase node
# needed for later selection
tr.lastph.krnl.cncp = ve.con
if capd:
tr.lastph.krnl.semf.set(0)
# print ( 'vocab phr=' , tr.lastph , 'len=' , tr.lastph.lens )
if suffx != '':
if ellyChar.isApostrophe(suffx[1]):
tr.lastph.krnl.usen = 0
# print ( 'vocabulary m=' , vmln )
# print ( 'queue after table lookup:' , len(self.ptr.queue) )
# print ( 'vtb sb=' , sb )
# print ( 'maximum match=' , nspan )
# print ( 'next input=' , sb[:nspan] )
if nspan > 0: # any matches at all?
tr.requeue() # if so, keep only longest of them
# print ( 'queue after scan:' , len(self.ptr.queue) )
# print ( 'returns [' , nspan , ',' , vmchs , ',' , suffx , ']' )
return [nspan, vmchs, suffx]
def match ( patn , text , offs=0 , limt=None , nsps=0 ):
"""
compare a pattern with wildcards to input text
arguments:
patn - pattern to matched
text - what to match against
offs - start text offset for matching
limt - limit for any matching
nsps - number of spaces to match in pattern
returns:
bindings if match is successful, None otherwise
"""
class Unwinding(object):
"""
to hold unwinding information for macro pattern backup and rematch
attributes:
kind - 0=optional 1=* wildcard
count - how many backups allowed
pats - saved pattern index for backup
txts - saved input text index
bnds - saved binding index
nsps - saved count of spaces matched
"""
def __init__ ( self , kind ):
"""
initialize to defaults
arguments:
self -
kind - of winding
"""
self.kind = kind
self.count = 0
self.pats = 0
self.txts = 0
self.bnds = 1
self.nsps = 0
def __str__ ( self ):
"""
show unwinding contents for debugging
arguments:
self
returns:
attributes as array
"""
return ( '[kd=' + str(self.kind) +
',ct=' + str(self.count) +
',pa=' + str(self.pats) +
',tx=' + str(self.txts) +
',bd=' + str(self.bnds) +
',ns=' + str(self.nsps) + ']' )
#### local variables for match( ) ####
mbd = [ 0 ] # stack for pattern match bindings (first usable index = 1)
mbi = 1 # current binding index
unw = [ ] # stack for unwinding on match failure
unj = 0 # current unwinding index
##
# four private functions using local variables of match() defined just above
#
def _bind ( ns=None ):
"""
get next available wildcard binding frame
arguments:
ns - optional initial span of text for binding
returns:
binding frame
"""
# print ( "binding:",offs,ns )
os = offs - 1
if ns == None: ns = 1 # by default, binding is to 1 char
if mbi == len(mbd): # check if at end of available frames
mbd.append([ 0 , 0 ])
bf = mbd[mbi] # next available record
bf[0] = os # set binding to range of chars
bf[1] = os + ns #
return bf
def _modify ( ):
"""
set special tag for binding
arguments:
"""
mbd[mbi].append(None)
def _mark ( kind , nsp ):
"""
set up for backing up pattern match
arguments:
kind - 0=optional 1=* wildcard
nsp - number of spaces in pattern still unmatched
returns:
unwinding frame
"""
if unj == len(unw): # check if at end of available frames
unw.append(Unwinding(kind))
uf = unw[unj] # next available
uf.kind = kind
uf.count = 1
uf.pats = mp
uf.txts = offs
uf.bnds = mbi
uf.nsps = nsp
return uf
def _span ( typw , nsp=0 ):
"""
count chars available for wildcard match
arguments:
typw - wildcard
nsp - spaces to be matched in pattern
returns:
non-negative count if any match possible, otherwise -1
"""
# print ( "_span: typw=" , '{:04x}'.format(ord(typw)) , deconvert(typw) )
# print ( "_span: txt @",offs,"pat @",mp,"nsp=",nsp )
# print ( "text to span:",text[offs:] )
# print ( "pat rest=" , patn[mp:] )
k = minMatch(patn[mp:]) # calculate min char count to match rest of pattern
# print ( "exclude=",k,"chars from possible span for rest of pattern" )
# calculate maximum chars a wildcard can match
mx = ellyChar.findExtendedBreak(text,offs,nsp)
# print ( mx,"chars available to scan" )
mx -= k # max span reduced by exclusion
if mx < 0: return -1 # cannot match if max span < 0
tfn = Matching[typw] # matchup function for wildcard type
# print ( "text at",offs,"maximum wildcard match=",mx )
nm = 0
for i in range(mx):
c = text[offs+i] # next char in text from offset
# print ( 'span c=' , c )
if not tfn(c): break # stop when it fails to match
nm += 1
# print ( "maximum wildcard span=",nm )
return nm
#
# end of private functions
##
#############################
#### main matching loop ####
#############################
matched = False # successful pattern match yet?
if limt == None: limt = len(text)
# print ( 'starting match, limt=',limt,text[offs:limt],":",patn )
# print ( 'nsps=' , nsps )
mp = 0 # pattern index
ml = len(patn) # pattern match limit
last = ''
while True:
## literally match as many next chars as possible
# print ( '---- loop mp=' , mp , 'ml=' , ml )
while mp < ml:
if offs >= limt:
# print ( "offs=",offs,"limt=",limt )
last = ''
elif limt == 0:
break
else:
last = text[offs]
offs += 1
# print ( 'patn=' , patn )
mc = patn[mp]
# print ( 'matching last=' , last, '(' , '{:04x}'.format(ord(last)) if last != '' else '-', ') at' , offs )
# print ( 'against ' , mc , '(' , '{:04x}'.format(ord(mc)) , ')' )
if mc != last:
if mc != last.lower():
if mc == Hyphn and last == ' ' and limt - offs > 2:
# print ( 'hyphen special matching, limt=', limt , 'offs=' , offs )
# print ( 'text[offs:]=' , text[offs:] )
if text[offs] != Hyphn or text[offs+1] != ' ':
break
offs += 2
else:
# print ( 'no special matching of hyphen' )
break
# print ( 'matched @mp=' , mp )
mp += 1
## check whether mismatch is due to special pattern char
# print ( 'pat @',mp,"<",ml )
# print ( "txt @",offs,'<',limt,'last=',last )
# print ( '@',offs,text[offs:] )
if mp >= ml: # past end of pattern?
matched = True # if so, match is made
break
tc = patn[mp] # otherwise, get unmatched pattern element
mp += 1 #
# print ( "tc=",'{:04x}'.format(ord(tc)),deconvert(tc) )
if tc == cALL: # a * wildcard?
# print ( "ALL last=< " + last + " >" )
if last != '': offs -= 1
nm = _span(cALL,nsps)
## save info for restart of matching on subsequent failure
bf = _bind(nm); mbi += 1 # get new binding record
bf[0] = offs # bind from current offset
offs += nm # move offset past end of span
bf[1] = offs # bind to new offset
# print ( "offs=",offs,'nm=',nm )
uf = _mark(1,nsps); unj += 1 # get new unwinding record
uf.count = nm # can back up this many times on mismatch
continue
elif tc == cEND: # end specification
# print ( "END $:",last )
if last == '':
continue
elif last == '-':
offs -= 1
continue
elif last in [ '.' , ',' ]:
if offs == limt:
offs -= 1
continue
txc = text[offs]
if ellyChar.isWhiteSpace(txc) or txc in Trmls or txc in Grk:
offs -= 1
continue
elif last in ellyBuffer.separators:
offs -= 1
continue
elif last in [ '?' , '!' , ellyChar.HYPH ]:
offs -= 1
continue
elif not ellyChar.isText(last):
offs -= 1
continue
elif tc == cANY: # alphanumeric wildcard?
# print ( "ANY:",last,offs )
if last != '' and ellyChar.isLetterOrDigit(last):
_bind(); mbi += 1
continue
elif tc == cCAN: # nonalphanumeric wildcard?
# print ( 'at cCAN' )
if last != ellyChar.AMP:
if last == '' or not ellyChar.isLetterOrDigit(last):
_bind(); mbi += 1
continue
elif tc == cDIG: # digit wildcard?
if last != '' and ellyChar.isDigit(last):
_bind(); mbi += 1
continue
elif tc == cALF: # letter wildcard?
# print ( "ALF:",last,offs )
if last != '' and ellyChar.isLetter(last):
_bind(); mbi += 1
continue
elif tc == cUPR: # uppercase letter wildcard?
# print ( "UPR:",last,'@',offs )
if last != '' and ellyChar.isUpperCaseLetter(last):
_bind(); mbi += 1
continue
elif tc == cLWR: # lowercase letter wildcard?
# print ( "LWR:",last,'@',offs )
if last != '' and ellyChar.isLowerCaseLetter(last):
_bind(); mbi += 1
continue
elif tc == cSPC: # space wildcard?
# print ( "SPC:","["+last+"]" )
if last != '' and ellyChar.isWhiteSpace(last):
nsps -= 1
_bind(); _modify(); mbi += 1
continue
# print ( 'NO space' )
elif tc == cAPO: # apostrophe wildcard?
# print ( "APO: last=" , last )
if ellyChar.isApostrophe(last):
_bind(); _modify(); mbi += 1
continue
elif tc == cSOS:
# print ( "SOS" )
# print ( last,'@',offs )
mf = _bind(0); mbi += 1 # dummy record to block
mf[0] = -1 # later binding consolidation
if last != '':
offs -= 1 # try for rematch
m = mp # find corresponding EOS
while m < ml: #
if patn[m] == cEOS: break
m += 1
else: # no EOS?
m -= 1 # if so, pretend there is one anyway
uf = _mark(0,nsps); unj += 1 # for unwinding on any later match failure
uf.pats = m + 1 # i.e. one char past next EOS
uf.txts = offs # start of text before optional match
continue
elif tc == cEOS:
# print ( "EOS" )
if last != '':
offs -= 1 # back up for rematch
continue
elif tc == cSAN or tc == cSDG or tc == cSAL:
# print ( 'spanning wildcard, offs=' , offs , 'last=(' + last + ')' )
if last != '': # still more to match?
offs -= 1
# print ( 'nsps=' , nsps )
# print ( '@' , offs , text )
nm = _span(tc,nsps) # maximum match possible
# print ( 'spanning=' , nm )
if nm == 0: # compensate for findExtendedBreak peculiarity
if offs + 1 < limt and mp < ml: # with closing ] or ) to be matched in pattern
if patn[mp] in Enc: # from text input
nm += 1
# print ( 'spanning=' , nm )
if nm >= 1:
bf = _bind(nm); mbi += 1
bf[0] = offs # bind from current offset
offs += nm # move offset past end of span
bf[1] = offs # bind to new offset
uf = _mark(1,nsps); unj += 1
uf.count = nm - 1 # at least one char must be matched
# print ( 'offs=' , offs )
last = text[offs] if offs < limt else ''
continue
# print ( 'fail tc=' , deconvert(tc) )
elif tc == '':
if last == '' or not ellyChar.isPureCombining(last):
matched = True # successful match
break
## match failure: rewind to last match branch
##
# print ( "fail - unwinding" , unj )
while unj > 0: # try unwinding, if possible
# print ( "unw:",unj )
uf = unw[unj-1] # get most recent unwinding record
# print ( uf )
if uf.count <= 0: # if available count is used up,
unj -= 1 # go to next unwinding record
continue
uf.count -= 1 # decrement available count
uf.txts -= uf.kind # back up one char for scanning text input
mp = uf.pats # unwind pattern pointer
offs = uf.txts # unwind text input
mbi = uf.bnds # restore binding
mbd[mbi-1][1] -= uf.kind # reduce span of binding if for wildcard
nsps = uf.nsps #
break
else:
# print ( "no unwinding" )
break # quit if unwinding is exhausted
# print ( 'cnt=' , uf.count , 'off=' , offs )
##
## clean up on match mode or on no match possible
##
# print ( "matched=",matched )
if not matched: return None # no bindings
# print ( text,offs )
## consolidate contiguous bindings for subsequent substitutions
# print ( "BEFORE consolidating consecutive bindings" )
# print ( "bd:",len(mbd) )
# print ( mbd[0] )
# print ( '----' )
# for b in mbd[1:]:
# print ( b )
mbdo = mbd
lb = -1 # binding reference
lbd = [ 0 , -1 ] # sentinel value, not real binding
mbd = [ lbd ] # initialize with new offset after matching
mbdo.pop(0) # ignore empty binding
while len(mbdo) > 0: #
bd = mbdo.pop(0) # get next binding
if len(bd) > 2:
bd.pop()
mbd.append(bd)
lbd = bd
lb = -1
elif bd[0] < 0: # check for optional match indicator here
lb = -1 # if so, drop from new consolidated bindings
elif lb == bd[0]: # check for binding continuous with previous
lb = bd[1] #
lbd[1] = lb # if so, combine with previous binding
else: #
mbd.append(bd) # otherwise, add new binding
lbd = bd #
lb = bd[1] #
mbd[0] = offs # replace start of bindings with text length matched
# print ( "AFTER" )
# print ( "bd:",len(mbd) )
# print ( mbd[0] )
# print ( '----' )
# for b in mbd[1:]:
# print ( b )
return mbd # consolidated bindings plus new offset
def doMatchUp ( self , vcs , txs ):
"""
match current text with vocabulary entry, possibly removing final inflection
(this method assumes English; override for other languages)
arguments:
self -
vcs - vocabulary entry chars
txs - text chars to be matched
returns:
count of txs chars matched, 0 on mismatch
"""
# print 'match up vcs=' , vcs
self.endg = '' # default inflection
lvc = len(vcs)
ltx = len(txs)
if ltx < lvc: return 0
nr = icmpr(vcs,txs) # do match on lists of chars
# print 'nr=' , nr , 'nt='
# print 'txs=' , txs , 'ltx=' , ltx
if nr == 0: # vocabulary entry fully matched?
if ltx == lvc:
return ltx # if no more text, done
dnc = ltx - lvc # otherwise, check text past match
# print 'dnc=' , dnc
if ellyChar.isApostrophe(txs[lvc]): # apostrophe check
if dnc > 1 and txs[lvc+1] in [ 's' , 'S' ]: # 'S found?
if dnc == 2 or _terminate(txs[lvc+2]):
self.endg = '-\'s' #
return lvc + 2 # if so, remove ending
return 0
if txs[lvc-1] in [ 's' , 'S' ]: # S' found?
if dnc == 1 or _terminate(txs[lvc+1]):
self.endg = '-\'s' # put in implied S!
return lvc + 1 # if so, remove ending
return 0
return lvc # break at
if _terminate(txs[lvc]):
return lvc # successful match
# alphanumeric follows match either full or partial
# try inflectional stemming to align a match here
if self.stm == None:
return 0 # if no stemmer, no match possible
k = lvc - nr + 1 # get extent of text to match against
while k < ltx:
if _terminate(txs[k]):
break # find current end of text to match
k += 1
n = k - 1
while n > 0:
if _terminate(txs[n]):
n += 1
break # find start of stemming
n -= 1
# print 'k=' , k , 'n=' , n , 'nr=' , nr
if k - n < nr: # check if stemming could help match
return 0
tc = txs[k-1] # last char at end of text to match
# print 'tc=' , tc
if tc != 's' and tc != 'd' and tc != 'g':
return 0 # only -S, -ED, and -ING checked
tw = ''.join(txs[n:k]) # segment of text for stemming
sw = self.stm.simplify(tw) # inflectional stemming
# print 'sw=' , sw , 'tw=' , tw
if len(sw) + n != lvc: # stemmed result should now align
return 0 # with vocabulary entry
# print 'nr=' , nr
ns = 0 if nr == 0 else icmpr(vcs[-nr:],sw[-nr:]) # continue from previous match
# print 'ns=' , ns
if ns == 0: # mismatch gone?
self.endg = ( '-s' if tc == 's' else
'-ed' if tc == 'd' else
'-ing' ) # indicate ending removed
# print 'txs=' , txs
# print 'ltx=' , ltx , 'endg=' , self.endg
return k # successful match
return 0 # no match by default
def match ( patn , text , offs=0 , limt=None , nsps=0 ):
"""
compare a pattern with wildcards to input text
arguments:
patn - pattern to matched
text - what to match against
offs - start text offset for matching
limt - limit for any matching
nsps - number of spaces to match in pattern
returns:
bindings if match is successful, None otherwise
"""
class Unwinding(object):
"""
to hold unwinding information for macro pattern backup and rematch
attributes:
kind - 0=optional 1=* wildcard
count - how many backups allowed
pats - saved pattern index for backup
txts - saved input text index
bnds - saved binding index
nsps - saved count of spaces matched
"""
def __init__ ( self , kind ):
"""
initialize to defaults
arguments:
self -
kind - of winding
"""
self.kind = kind
self.count = 0
self.pats = 0
self.txts = 0
self.bnds = 1
self.nsps = 0
def __unicode__ ( self ):
"""
show unwinding contents for debugging
arguments:
self
returns:
attributes as array
"""
return ( '[kd=' + unicode(self.kind) +
',ct=' + unicode(self.count) +
',pa=' + unicode(self.pats) +
',tx=' + unicode(self.txts) +
',bd=' + unicode(self.bnds) +
',ns=' + unicode(self.nsps) + ']' )
#### local variables for match( ) ####
mbd = [ 0 ] # stack for pattern match bindings (first usable index = 1)
mbi = 1 # current binding index
unw = [ ] # stack for unwinding on match failure
unj = 0 # current unwinding index
##
# four private functions using local variables of match() defined just above
#
def _bind ( ns=None ):
"""
get next available wildcard binding frame
arguments:
ns - optional initial span of text for binding
returns:
binding frame
"""
# print "binding:",offs,ns
os = offs - 1
if ns == None: ns = 1 # by default, binding is to 1 char
if mbi == len(mbd): # check if at end of available frames
mbd.append([ 0 , 0 ])
bf = mbd[mbi] # next available record
bf[0] = os # set binding to range of chars
bf[1] = os + ns #
return bf
def _modify ( ):
"""
set special tag for binding
arguments:
"""
mbd[mbi].append(None)
def _mark ( kind , nsp ):
"""
set up for backing up pattern match
arguments:
kind - 0=optional 1=* wildcard
nsp - number of spaces in pattern still unmatched
returns:
unwinding frame
"""
if unj == len(unw): # check if at end of available frames
unw.append(Unwinding(kind))
uf = unw[unj] # next available
uf.kind = kind
uf.count = 1
uf.pats = mp
uf.txts = offs
uf.bnds = mbi
uf.nsps = nsp
return uf
def _span ( typw , nsp=0 ):
"""
count chars available for wildcard match
arguments:
typw - wildcard
nsp - spaces to be matched in pattern
returns:
non-negative count if any match possible, otherwise -1
"""
# print "_span: typw=" , '{:04x}'.format(ord(typw)) , deconvert(typw)
# print "_span: txt @",offs,"pat @",mp,"nsp=",nsp
# print "text to span:",text[offs:]
# print "pat rest=" , patn[mp:]
k = minMatch(patn[mp:]) # calculate min char count to match rest of pattern
# print "exclude=",k,"chars from possible span for rest of pattern"
# calculate maximum chars a wildcard can match
mx = ellyChar.findExtendedBreak(text,offs,nsp)
# print mx,"chars available to scan"
mx -= k # max span reduced by exclusion
if mx < 0: return -1 # cannot match if max span < 0
tfn = Matching[typw] # matchup function for wildcard type
# print "text at",offs,"maximum wildcard match=",mx
nm = 0
for i in range(mx):
c = text[offs+i] # next char in text from offset
# print 'span c=' , c
if not tfn(c): break # stop when it fails to match
nm += 1
# print "maximum wildcard span=",nm
return nm
#
# end of private functions
##
#############################
#### main matching loop ####
#############################
matched = False # successful pattern match yet?
if limt == None: limt = len(text)
# print 'starting match, limt=',limt,text[offs:limt],":",patn
# print 'nsps=' , nsps
mp = 0 # pattern index
ml = len(patn) # pattern match limit
last = ''
while True:
## literally match as many next chars as possible
# print '---- loop mp=' , mp , 'ml=' , ml
while mp < ml:
if offs >= limt:
# print "offs=",offs,"limt=",limt
last = ''
elif limt == 0:
break
else:
last = text[offs]
offs += 1
# print 'patn=' , patn
mc = patn[mp]
# print 'matching last=' , last, '(' , '{:04x}'.format(ord(last)) if last != '' else '-', ') at' , offs
# print 'against ' , mc , '(' , '{:04x}'.format(ord(mc)) , ')'
if mc != last:
if mc != last.lower():
if mc == Hyphn and last == ' ' and limt - offs > 2:
# print 'hyphen special matching, limt=', limt , 'offs=' , offs
# print 'text[offs:]=' , text[offs:]
if text[offs] != Hyphn or text[offs+1] != ' ':
break
offs += 2
else:
# print 'no special matching of hyphen'
break
# print 'matched @mp=' , mp
mp += 1
## check whether mismatch is due to special pattern char
# print 'pat @',mp,"<",ml
# print "txt @",offs,'<',limt,'last=',last
# print '@',offs,text[offs:]
if mp >= ml: # past end of pattern?
matched = True # if so, match is made
break
tc = patn[mp] # otherwise, get unmatched pattern element
mp += 1 #
# print "tc=",'{:04x}'.format(ord(tc)),deconvert(tc)
if tc == cALL: # a * wildcard?
# print "ALL last=< " + last + " >"
if last != '': offs -= 1
nm = _span(cALL,nsps)
## save info for restart of matching on subsequent failure
bf = _bind(nm); mbi += 1 # get new binding record
bf[0] = offs # bind from current offset
offs += nm # move offset past end of span
bf[1] = offs # bind to new offset
# print "offs=",offs,'nm=',nm
uf = _mark(1,nsps); unj += 1 # get new unwinding record
uf.count = nm # can back up this many times on mismatch
continue
elif tc == cEND: # end specification
# print "END $:",last
if last == '':
continue
elif last == '-':
offs -= 1
continue
elif last in [ '.' , ',' ]:
if offs == limt:
offs -= 1
continue
txc = text[offs]
if ellyChar.isWhiteSpace(txc) or txc in Trmls or txc in Grk:
offs -= 1
continue
elif last in ellyBuffer.separators:
offs -= 1
continue
elif last in [ '?' , '!' , ellyChar.HYPH ]:
offs -= 1
continue
elif tc == cANY: # alphanumeric wildcard?
# print "ANY:",last,offs
if last != '' and ellyChar.isLetterOrDigit(last):
_bind(); mbi += 1
continue
elif tc == cCAN: # nonalphanumeric wildcard?
# print 'at cCAN'
if last != ellyChar.AMP:
if last == '' or not ellyChar.isLetterOrDigit(last):
_bind(); mbi += 1
continue
elif tc == cDIG: # digit wildcard?
if last != '' and ellyChar.isDigit(last):
_bind(); mbi += 1
continue
elif tc == cALF: # letter wildcard?
# print "ALF:",last,offs
if last != '' and ellyChar.isLetter(last):
_bind(); mbi += 1
continue
elif tc == cUPR: # uppercase letter wildcard?
# print "UPR:",last,'@',offs
if last != '' and ellyChar.isUpperCaseLetter(last):
_bind(); mbi += 1
continue
elif tc == cLWR: # lowercase letter wildcard?
# print "LWR:",last,'@',offs
if last != '' and ellyChar.isLowerCaseLetter(last):
_bind(); mbi += 1
continue
elif tc == cSPC: # space wildcard?
# print "SPC:","["+last+"]"
if last != '' and ellyChar.isWhiteSpace(last):
nsps -= 1
_bind(); _modify(); mbi += 1
continue
# print 'NO space'
elif tc == cAPO: # apostrophe wildcard?
# print "APO: last=" , last
if ellyChar.isApostrophe(last):
_bind(); _modify(); mbi += 1
continue
elif tc == cSOS:
# print "SOS"
# print last,'@',offs
mf = _bind(0); mbi += 1 # dummy record to block
mf[0] = -1 # later binding consolidation
if last != '':
offs -= 1 # try for rematch
m = mp # find corresponding EOS
while m < ml: #
if patn[m] == cEOS: break
m += 1
else: # no EOS?
m -= 1 # if so, pretend there is one anyway
uf = _mark(0,nsps); unj += 1 # for unwinding on any later match failure
uf.pats = m + 1 # i.e. one char past next EOS
uf.txts = offs # start of text before optional match
continue
elif tc == cEOS:
# print "EOS"
if last != '':
offs -= 1 # back up for rematch
continue
elif tc == cSAN or tc == cSDG or tc == cSAL:
# print 'spanning wildcard, offs=' , offs , 'last=(' + last + ')'
if last != '': # still more to match?
offs -= 1
# print 'nsps=' , nsps
# print '@' , offs , text
nm = _span(tc,nsps) # maximum match possible
# print 'spanning=' , nm
if nm == 0: # compensate for findExtendedBreak peculiarity
if offs + 1 < limt and mp < ml: # with closing ] or ) to be matched in pattern
if patn[mp] in Enc: # from text input
nm += 1
# print 'spanning=' , nm
if nm >= 1:
bf = _bind(nm); mbi += 1
bf[0] = offs # bind from current offset
offs += nm # move offset past end of span
bf[1] = offs # bind to new offset
uf = _mark(1,nsps); unj += 1
uf.count = nm - 1 # at least one char must be matched
# print 'offs=' , offs
last = text[offs] if offs < limt else ''
continue
# print 'fail tc=' , deconvert(tc)
elif tc == '':
if last == '' or not ellyChar.isPureCombining(last):
matched = True # successful match
break
## match failure: rewind to last match branch
##
# print "fail - unwinding" , unj
while unj > 0: # try unwinding, if possible
# print "unw:",unj
uf = unw[unj-1] # get most recent unwinding record
# print uf
if uf.count <= 0: # if available count is used up,
unj -= 1 # go to next unwinding record
continue
uf.count -= 1 # decrement available count
uf.txts -= uf.kind # back up one char for scanning text input
mp = uf.pats # unwind pattern pointer
offs = uf.txts # unwind text input
mbi = uf.bnds # restore binding
mbd[mbi-1][1] -= uf.kind # reduce span of binding if for wildcard
nsps = uf.nsps #
break
else:
# print "no unwinding"
break # quit if unwinding is exhausted
# print 'cnt=' , uf.count , 'off=' , offs
##
## clean up on match mode or on no match possible
##
# print "matched=",matched
if not matched: return None # no bindings
# print text,offs
## consolidate contiguous bindings for subsequent substitutions
# print "BEFORE consolidating consecutive bindings"
# print "bd:",len(mbd)
# print mbd[0]
# print '----'
# for b in mbd[1:]:
# print b
mbdo = mbd
lb = -1 # binding reference
lbd = [ 0 , -1 ] # sentinel value, not real binding
mbd = [ lbd ] # initialize with new offset after matching
mbdo.pop(0) # ignore empty binding
while len(mbdo) > 0: #
bd = mbdo.pop(0) # get next binding
if len(bd) > 2:
bd.pop()
mbd.append(bd)
lbd = bd
lb = -1
elif bd[0] < 0: # check for optional match indicator here
lb = -1 # if so, drop from new consolidated bindings
elif lb == bd[0]: # check for binding continuous with previous
lb = bd[1] #
lbd[1] = lb # if so, combine with previous binding
else: #
mbd.append(bd) # otherwise, add new binding
lbd = bd #
lb = bd[1] #
mbd[0] = offs # replace start of bindings with text length matched
# print "AFTER"
# print "bd:",len(mbd)
# print mbd[0]
# print '----'
# for b in mbd[1:]:
# print b
return mbd # consolidated bindings plus new offset
def _lookUpNext(self):
"""
look up possible next segments in input buffer by various means,
keeping tokens only for the LONGEST segment
arguments:
self
returns:
True on successful lookup, False otherwise
exceptions:
ParseOverflow
"""
self.sbu.skipSpaces() # skip leading spaces
s = self.sbu.buffer
# print ( '_lookUp@0 buffer=' , s )
if len(s) == 0: # check for end of input
return False # if so, done
# print ( 'in =' , str(self.sbu) )
if self.trs != None: # preanalysis of number expressions
self.trs.rewriteNumber(s)
# print ( '_lookUp@1 buffer=' , self.sbu.buffer )
# print ( 'macro expansion s[0]=' , s[0] )
self.sbu.expand() # apply macro substitutions
# print ( 'macro expanded s[0]=' , s[0] )
# print ( '_lookUp@2 buffer=' , self.sbu.buffer )
s = self.sbu.buffer
# print ( 'expanded len=' , len(s) )
if len(s) == 0: return True # macros can empty out buffer
k = self.sbu.findBreak() # find extent of first component for lookup
if k == 0:
k = 1 # must have at least one char in token
# print ( 'break at k=' , k )
kl = len(s)
if k + 1 < kl and s[k] == '+' and s[k + 1] == ' ':
k += 1 # recognize possible prefix
# print ( 'len(s)=' , kl , 'k=' , k , 's=', s )
# print ( '_lookUp@3 buffer=' , self.sbu.buffer )
mr = self._scanText(k) # text matching in various ways
mx = mr[0] # overall maximum match length
chs = mr[1] # any vocabulary element matched
suf = mr[2] # any suffix removed in matching
# print ( '_lookUp@4 buffer=' , self.sbu.buffer )
s = self.sbu.buffer
# print ( 'k=' , k )
# print ( 'scan result mx=' , mx , 'chs=' , chs , 'suf=' , suf )
# print ( 'len(s)=' , len(s) , 's=' , s )
if (k < mx or k == mx and suf != ''
): # next word cannot produce token as long as already seen?
# print ( 'queue:' , len(self.ptr.queue) )
# print ( 'chs=' , chs )
if len(chs) > 0: # any vocabulary matches?
# print ( 'put back' , suf , mx , s )
self.sbu.skip(mx) # if so, they supersede
if suf != '': # handle any suffix removal
self.sbu.prepend(list(suf))
# print ( 'suf=' , suf )
else:
chs = self.sbu.extract(mx)
# print ( 'extract chs=' , chs )
to = ellyToken.EllyToken(chs)
# print ( 'token=' , str(to) )
self.ctx.addTokenToListing(to)
if suf != '':
if not ellyChar.isApostrophe(suf[1]):
to.dvdd = True # must note suffix removal for token!
# print ( 'only queue:' , len(self.ptr.queue) )
return True
# print ( 'mx=' , mx )
# print ( 'plus queue:' , len(self.ptr.queue) )
wsk = self.sbu.buffer[:k]
cap = ellyChar.isUpperCaseLetter(wsk[0])
# print ( 'wsk=' , wsk )
rws = ''.join(wsk)
found = self.ptr.createPhrasesFromDictionary(rws.lower(), False, cap)
if not found:
if k > mx and k > 1 and ellyChar.isEmbeddedCombining(rws[-1]):
k -= 1
rws = rws[:-1]
found = self.ptr.createPhrasesFromDictionary(
rws.lower(), False, cap)
# print ( rws , 'found in dictionary=' , found )
if found or mx > 0: # match found in dictionary or by text scan
if not found:
k = mx # if by text scan, must make token longer
rws = rws[:k] # if mx > k
self.sbu.skip(k)
# print ( 'next=' , self.sbu.buffer[self.sbu.index:] )
# print ( 'queue after =' , len(self.ptr.queue) )
to = ellyToken.EllyToken(rws[:k])
if len(suf) > 1: # change token to show suffix properly
# print ( 'suf=' , suf )
cs = suf[1] # first char in suffix after '-'
rt = to.root # this is a list!
lk = -1 # start at last char in token
while rt[lk] != cs:
lk -= 1
sn = len(rt) + lk # where to divide suffix from root
# print ( 'sn=' , sn , rt )
to.root = rt[:sn] # root without suffix
self.sbu.prepend(suf) # restore suffix to input for processing
else: # no suffix
chx = self.sbu.peek() # look at next char after match
if chx == '-': # if hyphen, need to separate it
self.sbu.skip()
if ellyChar.isLetter(self.sbu.peek()):
self.sbu.prepend(' ')
self.sbu.prepend('-')
# print ( 'add' , str(to) )
self.ctx.addTokenToListing(to) # add token to listing for sentence
return True
# print ( '[' + rws + ']' , 'still unrecognized' )
chx = rws[0] # special hyphen check
if chx == '-' and k > 1:
# print ( 'look in internal dictionary' )
if self.ptr.createPhrasesFromDictionary(chx, False, False):
# print ( 'found!' )
to = ellyToken.EllyToken(chx) # treat hyphen as token
self.ctx.addTokenToListing(to) # add it to token list
self.sbu.skip() # remove from input
return True
to = self._extractToken(
mx) # single-word matching with analysis and lookup
# print ( 'extracted to=' , str(to) )
if to == None: # if no match, we are done and will return
# print ( 'mx=' , mx )
return False if mx == 0 else True # still success if _scanText() found something
if self.ptr.lastph != None:
self.ptr.lastph.lens = to.getLength()
# print ( 'to=' , str(to) , 'len(s)=' , len(s) , s )
# posn = self.ctx.countTokensInListing()
# print ( 'at', posn , 'in token list' )
self.ctx.addTokenToListing(to) # add token to listing for sentence
# tol = self.ctx.getNthTokenInListing(-1)
# print ( 'last token root=' , tol.root )
return True # successful lookup
def _extractToken ( self , mnl ):
"""
extract next token from input buffer and look up in grammar table
arguments:
self -
mnl - minimum length for any previous match
returns:
ellyToken on success, otherwise None
exceptions:
ParseOverflow
"""
d = self.rul # grammar rule definitions
tree = self.ptr # parse tree
buff = self.sbu # input source
# print 'start extraction'
try:
w = buff.getNext() # extract next token
# print 'got token=' , w
ws = u''.join(w.root)
except ellyException.StemmingError as e:
print >> sys.stderr , 'FATAL error' , e
sys.exit(1)
# print 'extracted' , '['+ ws + ']'
wcapzn = w.isCapitalized()
wsplit = w.isSplit()
wl = len(ws)
if wl > mnl:
found = self._simpleTableLookUp(ws,tree,wsplit,wcapzn) > 0
# print 'found in external table=' , found
if wl >= mnl:
if ws in self.rul.gtb.dctn: # look up internally
# print '"' + ws + '" in dictionary'
if tree.createPhrasesFromDictionary(ws,wsplit,wcapzn):
found = True
# print 'found in internal dictionary=' , found
if found: # if any success, we are done
return w
if mnl > 0:
return None # defer to previous lookup
# print 'affix logic:'
# print d.man.pref
# print d.man.suff
dvdd = False
if d.man.analyze(w): # any analysis possible?
root = u''.join(w.root) # if so, get parts of analysis
tan = w.pres + [ root ] + w.sufs
if len(w.sufs) > 0:
sx = w.sufs[-1]
dvdd = not ellyChar.isApostrophe(sx[1])
# print 'token analysis=' , tan
while len(tan) > 0: # and put back into input
x = tan.pop()
buff.prepend(x)
buff.prepend(' ')
w = buff.getNext() # get token again with stemming and macros
# print 'analyzed w=' , w
ws = u''.join(w.root)
if ws[-1] == '+':
# print 'len(queue)=' , len(tree.queue)
m = d.ptb.match(w.root,tree)
# print 'root=' , w.root
# print 'match=' , m
# print 'len(queue)=' , len(tree.queue)
# print 'char span=' , tree.lastph.lens
if m > 0:
tree.lastph.bias = 2
found = True
# print 'after found=' , found
if len(ws) < mnl: return None # external lookup?
if self._simpleTableLookUp(ws,tree,False,wcapzn): # external lookup
found = True
if ws in self.rul.gtb.dctn: # internal lookup?
if tree.createPhrasesFromDictionary(ws,wsplit,wcapzn):
found = True
if found: # if any success, we are done
# print 'token recognized'
w.dvdd = dvdd
return w
# print 'still unrecognized token w=' , unicode(w)
lws = len(ws)
if lws > 1: # special handling of + or -
if ws[0] == '+' and ws[-1] != '+':
# print 'root=' , ws # marks root with prefixes removed
if self._simpleTableLookUp(ws[1:],tree) > 0:
return w
if ws[0] == '-':
w.shortenBy(lws-1) # -X not recognized as suffix
# print 'w=' , w # try processing - separately
cn = buff.peek()
if ellyChar.isLetterOrDigit(cn):
buff.prepend(' ')
buff.prepend(ws[1:]) # put back X for further analysis
if self.pnc.match(w.root): # check if next token is punctuation
# print 'catg=' , self.pnc.catg , self.pnc.synf.hexadecimal()
if tree.addLiteralPhrase(self.pnc.catg,self.pnc.synf):
tree.lastph.lens = w.getLength()
tree.lastph.krnl.semf.combine(self.pnc.semf)
# print 'semf=' , self.pnc.semf
# print 'lastph=' , tree.lastph
# print 'punc w=' , unicode(w)
else:
# print 'must create UNKN leaf node'
tree.createUnknownPhrase(w) # unknown type as last resort
tree.lastph.lens = len(ws)
return w
def _scanText ( self , k ):
"""
try to match in buffer regardless of word boundaries
using Elly vocabulary, pattern, amd template tables an
also running Elly entity extractors
arguments:
self -
k - length of first component in buffer
returns:
match parameters [ text span of match , vocabulary match , suffix removed ]
exceptions:
ParseOverflow
"""
# print '_scanText k=' , k
sb = self.sbu.buffer # input buffer
tr = self.ptr # parse tree for results
# print '_scanText sb=' , sb
# initialize match status
nspan = 0 # total span of match
vmchs = [ ] # chars of vocabulary entry matched
suffx = '' # any suffix removed in match
d = self.rul # grammar rule definitions
m = d.ptb.match(sb,tr) # try token by pattern match next
# print 'pattern m=' , m
if nspan < m:
nspan = m # on longer match, update maximum
m = d.ctb.match(sb,tr) # try multi-word template match next
# print 'template m=' , m
if nspan < m:
nspan = m # on longer match, update maximum
m = self.iex.run(sb) # try entity extractors next
# print 'extractor m=' , m
if nspan < m:
nspan = m # on longer match, update maximum
# lm = len(sb) # scan limit
# print 'lm=' , lm , 'm=' , m
capd = ellyChar.isUpperCaseLetter(sb[0])
# print 'next component=' , sb[:k] , ', context=' , sb[k:lm]
if self.vtb != None: # look in external dictionary, if it exists
ls = list(sb[:k])
# print 'ls 0=' , ls
ellyChar.toLowerCaseASCII(ls)
ss = u''.join(ls) # where to start for vocabulary indexing
# print 'ls 1=' , ls
n = vocabularyTable.delimitKey(ss) # get actual indexing
# print 'delimiting n=' , n , '=' , '<' + ss[:n] + '>'
# print vocabularyTable.listDBKeys(self.vtb.cdb)
rl = self.vtb.lookUp(sb,n) # get list of the maximum text matches
# print len(rl) , 'matches'
if len(rl) > 0: #
r0 = rl[0] # look at first record
# print 'r0=' , r0
vmln = r0.nspan # should be same for all matches
vchs = r0.vem.chs #
vsfx = r0.suffx #
# print 'nspan=' , vmln , vsfx
if ( vmln > nspan or
vmln == nspan and vsfx == '' ):
nspan = vmln # keep vocabulary matches
vmchs = vchs #
suffx = vsfx #
for r in rl:
ve = r.vem # get vocabulary entry
# print 've=' , ve
# if ve.gen != None: print 've.gen=' , ve.gen
if tr.addLiteralPhraseWithSemantics(
ve.cat,ve.syf,ve.smf,ve.bia,ve.gen,len(suffx) > 0):
tr.lastph.lens = nspan # char length of leaf phrase node
# needed for later selection
tr.lastph.krnl.cncp = ve.con
if capd:
tr.lastph.krnl.semf.set(0)
# print 'vocab phr=' , tr.lastph , 'len=' , tr.lastph.lens
if suffx != '':
if ellyChar.isApostrophe(suffx[1]):
tr.lastph.krnl.usen = 0
# print 'vocabulary m=' , vmln
# print 'queue after table lookup:' , len(self.ptr.queue)
# print 'sb=' , sb
# print 'maximum match=' , nspan
# print 'input=' , self.sbu.buffer[:nspan]
if nspan > 0: # any matches at all?
tr.requeue() # if so, keep only longest of them
# print 'queue after scan:' , len(self.ptr.queue)
# print 'returns [' , nspan , ',' , vmchs , ',' , suffx , ']'
return [ nspan , vmchs , suffx ]
def _lookUpNext ( self ):
"""
look up possible next segments in input buffer by various means,
keeping tokens only for the LONGEST segment
arguments:
self
returns:
True on successful lookup, False otherwise
exceptions:
ParseOverflow
"""
self.sbu.skipSpaces() # skip leading spaces
s = self.sbu.buffer
# print '_lookUp@0 buffer=' , s
if len(s) == 0: # check for end of input
return False # if so, done
# print 'in =' , unicode(self.sbu)
if self.trs != None: # preanalysis of number expressions
self.trs.rewriteNumber(s)
# print '_lookUp@1 buffer=' , self.sbu.buffer
# print 'macro expansion s[0]=' , s[0]
self.sbu.expand() # apply macro substitutions
# print 'macro expanded s[0]=' , s[0]
# print '_lookUp@2 buffer=' , self.sbu.buffer
s = self.sbu.buffer
# print 'expanded len=' , len(s)
if len(s) == 0: return True # macros can empty out buffer
k = self.sbu.findBreak() # find extent of first component for lookup
if k == 0:
k = 1 # must have at least one char in token
# print 'break at k=' , k
kl = len(s)
if k + 1 < kl and s[k] == '+' and s[k+1] == ' ':
k += 1 # recognize possible prefix
# print 'len(s)=' , kl , 'k=' , k , 's=', s
# print '_lookUp@3 buffer=' , self.sbu.buffer
mr = self._scanText(k) # text matching in various ways
mx = mr[0] # overall maximum match length
chs = mr[1] # any vocabulary element matched
suf = mr[2] # any suffix removed in matching
# print '_lookUp@4 buffer=' , self.sbu.buffer
s = self.sbu.buffer
# print 'k=' , k
# print 'scan result mx=' , mx , 'chs=' , chs , 'suf=' , suf
# print 'len(s)=' , len(s) , 's=' , s
if ( k < mx or
k == mx and suf != '' ): # next word cannot produce token as long as already seen?
# print 'queue:' , len(self.ptr.queue)
# print 'chs=' , chs
if len(chs) > 0: # any vocabulary matches?
# print 'put back' , suf , mx , s
self.sbu.skip(mx) # if so, they supersede
if suf != '': # handle any suffix removal
self.sbu.prepend(list(suf))
# print 'suf=' , suf
else:
chs = self.sbu.extract(mx)
# print 'extracted chs=' , chs
# print 'token chs=' , chs
to = ellyToken.EllyToken(chs)
# print 'long token=' , unicode(to)
self.ctx.addTokenToListing(to)
if suf != '':
if not ellyChar.isApostrophe(suf[1]):
to.dvdd = True # must note suffix removal for token!
# print 'only queue:' , len(self.ptr.queue)
return True
# print 'mx=' , mx
# print 'plus queue:' , len(self.ptr.queue)
wsk = self.sbu.buffer[:k]
cap = ellyChar.isUpperCaseLetter(wsk[0])
# print 'wsk=' , wsk
rws = u''.join(wsk)
found = self.ptr.createPhrasesFromDictionary(rws.lower(),False,cap)
if not found:
# print 'not found, k=' , k
if k > mx and k > 1 and ellyChar.isEmbeddedCombining(rws[-1]):
k -= 1
rws = rws[:-1]
found = self.ptr.createPhrasesFromDictionary(rws.lower(),False,cap)
# print 'found in dictionary=' , found
if found or mx > 0: # match found in dictionary or by text scan
if not found:
k = mx # if by text scan, must make token longer
rws = rws[:k] # if mx > k
self.sbu.skip(k)
# print 'next=' , self.sbu.buffer[self.sbu.index:]
# print 'queue after =' , len(self.ptr.queue)
to = ellyToken.EllyToken(rws[:k])
if len(suf) > 1: # change token to show suffix properly
# print 'suf=' , suf
cs = suf[1] # first char in suffix after '-'
rt = to.root # this is a list!
lk = -1 # start at last char in token
while rt[lk] != cs: lk -= 1
sn = len(rt) + lk # where to divide suffix from root
# print 'sn=' , sn , rt
to.root = rt[:sn] # root without suffix
self.sbu.prepend(suf) # restore suffix to input for processing
else: # no suffix
chx = self.sbu.peek() # look at next char after match
if chx == '-': # if hyphen, need to separate it
self.sbu.skip()
if ellyChar.isLetter(self.sbu.peek()):
self.sbu.prepend(' ')
self.sbu.prepend('-')
# print 'add' , unicode(to)
self.ctx.addTokenToListing(to) # add token to listing for sentence
return True
# print '[' + rws + ']' , 'still unrecognized'
chx = rws[0] # special hyphen check
if chx == '-' and k > 1:
# print 'look in internal dictionary'
if self.ptr.createPhrasesFromDictionary(chx,False,False):
# print 'found!'
to = ellyToken.EllyToken(chx) # treat hyphen as token
self.ctx.addTokenToListing(to) # add it to token list
self.sbu.skip() # remove from input
return True
to = self._extractToken(mx) # single-word matching with analysis and lookup
# print 'extracted to=' , unicode(to)
if to == None: # if no match, we are done and will return
# print 'mx=' , mx
return False if mx == 0 else True # still success if _scanText() found something
if self.ptr.lastph != None:
self.ptr.lastph.lens = to.getLength()
# print 'to=' , unicode(to) , 'len(s)=' , len(s) , s
# posn = self.ctx.countTokensInListing()
# print 'at', posn , 'in token list'
self.ctx.addTokenToListing(to) # add token to listing for sentence
# tol = self.ctx.getNthTokenInListing(-1)
# print 'last token root=' , tol.root
return True # successful lookup
def match ( patn , text , offs=0 , limt=None ):
"""
compare a pattern with wildcards to input text
arguments:
patn - pattern to matched
text - what to match against
offs - start text offset for matching
limt - limit of matching
returns:
bindings if match is successful, None otherwise
"""
class Unwinding(object):
"""
to hold unwinding information for macro pattern backup and rematch
attributes:
kind - 0=optional 1=* wildcard
count - how many backups allowed
pats - saved pattern index for backup
txts - saved input text index
bnds - saved binding index
"""
def __init__ ( self , kind ):
"""
initialize to defaults
arguments:
self -
kind - of winding
"""
self.kind = kind
self.count = 0
self.pats = 0
self.txts = 0
self.bnds = 1
def __unicode__ ( self ):
"""
show unwinding contents for debugging
arguments:
self
returns:
attributes as array
"""
return ( '[kd=' + unicode(self.kind) +
',ct=' + unicode(self.count) +
',pa=' + unicode(self.pats) +
',tx=' + unicode(self.txts) +
',bd=' + unicode(self.bnds) + ']' )
#### local variables for match( ) ####
mbd = [ 0 ] # stack for pattern match bindings (first usable index = 1)
mbi = 1 # current binding index
unw = [ ] # stack for unwinding on match failure
unj = 0 # current unwinding index
##
# three private functions using local variables of match()
#
def _bind ( ns=None ):
"""
get next available wildcard binding frame
arguments:
ns - optional initial span of text for binding
returns:
binding frame
"""
# print "binding:",offs,ns
os = offs - 1
if ns == None: ns = 1 # by default, binding is to 1 char
if mbi == len(mbd): # check if at end of available frames
mbd.append([ 0 , 0 ])
bf = mbd[mbi] # next available record
bf[0] = os # set binding to range of chars
bf[1] = os + ns #
return bf
def _modify ( ):
"""
set special tag for binding
arguments:
"""
mbd[mbi].append(None)
def _mark ( kind ):
"""
set up for backing up pattern match
arguments:
kind - 0=optional 1=* wildcard
returns:
unwinding frame
"""
if unj == len(unw): # check if at end of available frames
unw.append(Unwinding(kind))
uf = unw[unj] # next available
uf.kind = kind
uf.count = 1
uf.pats = mp
uf.txts = offs
uf.bnds = mbi
return uf
def _span ( typw ):
"""
count chars available for wildcard match
arguments:
typw - wildcard
returns:
non-negative count if any match possible, otherwise -1
"""
k = minMatch(patn[mp:]) # calculate min char count to match rest of pattern
# print "exclude=",k,"@",offs
# calculate maximum chars a wildcard can match
mx = ellyChar.findBreak(text,offs) - k # max span reduced by exclusion
if mx < 0: return -1 # cannot match if max span < 0
tfn = Matching[typw] # char type matching a wildcard
# print "text at",offs,"maximum wildcard match=",mx
nm = 0
for i in range(mx):
c = text[offs+i] # next char in text from offset
if not tfn(c): break # stop when it fails to match
nm += 1
# print "maximum wildcard span=",nm
return nm
#
# end of private functions
##
#############################
#### main matching loop ####
#############################
matched = False # successful pattern match?
if limt == None: limt = len(text)
mp = 0 # pattern index
ml = len(patn) # pattern match limit
# print text[offs:limt],":",list(patn)
while True:
## literally match as many next chars as possible
while mp < ml:
if offs >= limt:
last = ''
else:
last = text[offs].lower()
offs += 1
# print 'matching last=' , last , 'at' , offs
if patn[mp] != last: break
mp += 1
## check whether mismatch is due to special pattern char
# print 'pat',mp,"<",ml
# print "txt @",offs
if mp >= ml: # past end of pattern?
matched = True # if so, match is made
break
tc = patn[mp] # otherwise, get unmatched pattern element
mp += 1 #
# print "tc=",ord(tc)
if tc == cALL: # a * wildcard?
# print "ALL last=< " + last + " >"
if last != '': offs -= 1
nm = _span(cALL)
## save info for restart of matching on subsequent failure
bf = _bind(nm); mbi += 1 # get new binding record
bf[0] = offs # bind from current offset
offs += nm # move offset past end of span
bf[1] = offs # bind to new offset
# print "offs=",offs
uf = _mark(1); unj += 1 # get new unwinding record
uf.count = nm # can back up this many times on mismatch
continue
elif tc == cEND: # end specification
# print "END $:",last
if last == '':
continue
elif last in [ '.' , ',' , '-' ]:
if offs == limt:
offs -= 1
continue
txc = text[offs]
if ellyChar.isWhiteSpace(txc) or txc in Trmls:
offs -= 1
continue
elif last in ellyBuffer.separators:
offs -= 1
continue
elif last in [ '?' , '!' ]:
offs -= 1
continue
elif tc == cANY: # alphanumeric wildcard?
if last != '' and ellyChar.isLetterOrDigit(last):
_bind(); mbi += 1
continue
elif tc == cDIG: # digit wildcard?
if last != '' and ellyChar.isDigit(last):
_bind(); mbi += 1
continue
elif tc == cALF: # letter wildcard?
# print "ALF:",last,offs
if last != '' and ellyChar.isLetter(last):
_bind(); mbi += 1
continue
elif tc == cSPC: # space wildcard?
# print "SPC:"
if last != '' and ellyChar.isWhiteSpace(last):
_bind(); _modify(); mbi += 1
continue
elif tc == cAPO: # apostrophe wildcard?
# print "APO: last=" , last
if ellyChar.isApostrophe(last):
_bind(); _modify(); mbi += 1
continue
elif tc == cSOS:
# print "SOS"
# print last,'@',offs
mf = _bind(0); mbi += 1 # dummy record to block
mf[0] = -1 # later binding consolidation
if last != '':
offs -= 1 # try for rematch
m = mp # find corresponding EOS
while m < ml: #
if patn[m] == cEOS: break
m += 1
else: # no EOS?
m -= 1 # if so, pretend there is one anyway
uf = _mark(0); unj += 1 # for unwinding on any later match failure
uf.pats = m + 1 # i.e. one char past next EOS
uf.txts = offs # start of text before optional match
continue
elif tc == cEOS:
# print "EOS"
if last != '':
offs -= 1 # back up for rematch
continue
elif tc == cSAN or tc == cSDG or tc == cSAL:
if last != '': # still more to match?
offs -= 1
nm = _span(tc) # maximum match possible
# print 'spanning=' , nm
if nm >= 1:
bf = _bind(nm); mbi += 1
bf[0] = offs # bind from current offset
offs += nm # move offset past end of span
bf[1] = offs # bind to new offset
uf = _mark(1); unj += 1
uf.count = nm - 1 # at least one char must be matched
continue
elif tc == '':
if last == '' or not ellyChar.isPureCombining(last):
matched = True # successful match
break
## match failure: rewind to last match branch
# print "fail - unwinding",unj
while unj > 0: # try unwinding, if possible
# print "unw:",unj
uf = unw[unj-1] # get most recent unwinding record
# print uf
if uf.count <= 0: # if available count is used up,
unj -= 1 # go to next unwinding record
continue
uf.count -= 1 # decrement available count
uf.txts -= uf.kind # back up one char for scanning text input
mp = uf.pats # unwind pattern pointer
offs = uf.txts # unwind text input
mbi = uf.bnds # restore binding
mbd[mbi-1][1] -= uf.kind # reduce span of binding if for wildcard
break
else:
# print "no unwinding"
break # quit if unwinding is exhausted
##
## clean up on match mode or on no match possible
##
# print "matched=",matched
if not matched: return None # no bindings
# print text,offs
## consolidate contiguous bindings for subsequent substitutions
# print "BEFORE consolidating"
# print "bd:",len(mbd)
# for b in mbd:
# print b
mbdo = mbd
lb = -1 # binding reference
lbd = [ 0 , -1 ] # sentinel value, not real binding
mbd = [ lbd ] # initialize with new offset after matching
mbdo.pop(0) # ignore empty binding
while len(mbdo) > 0: #
bd = mbdo.pop(0) # get next binding
if len(bd) > 2:
bd.pop()
mbd.append(bd)
lbd = bd
lb = -1
elif bd[0] < 0: # check for optional match indicator here
lb = -1 # if so, drop from new consolidated bindings
elif lb == bd[0]: # check for binding continuous with previous
lb = bd[1] #
lbd[1] = lb # if so, combine with previous binding
else: #
mbd.append(bd) # otherwise, add new binding
lbd = bd #
lb = bd[1] #
mbd[0] = offs # replace start of bindings with text length matched
# print "AFTER"
# print "bd:",len(mbd)
# for b in mbd:
# print b
return mbd # consolidated bindings plus new offset
def _extractToken(self, mnl):
"""
extract next token from input buffer and look up in grammar table
arguments:
self -
mnl - minimum length for any previous match
returns:
ellyToken on success, otherwise None
exceptions:
ParseOverflow
"""
d = self.rul # grammar rule definitions
tree = self.ptr # parse tree
buff = self.sbu # input source
# print ( 'start extraction' )
try:
w = buff.getNext() # extract next token
# print ( 'got token=' , w )
ws = ''.join(w.root)
except ellyException.StemmingError as e:
# print ( 'FATAL error' , e , file=sys.stderr )
sys.exit(1)
# print ( 'extracted' , '['+ ws + ']' )
wcapzn = w.isCapitalized()
wsplit = w.isSplit()
wl = len(ws)
if wl > mnl:
found = self._simpleTableLookUp(ws, tree, wsplit, wcapzn) > 0
# print ( 'found in external table=' , found )
if wl >= mnl:
if ws in self.rul.gtb.dctn: # look up internally
# print ( v'"' + ws + '" in dictionary' )
if tree.createPhrasesFromDictionary(ws, wsplit, wcapzn):
found = True
# print ( 'found in internal dictionary=' , found )
if found: # if any success, we are done
return w
if mnl > 0:
return None # defer to previous lookup
# print ( 'affix logic:' )
# print ( d.man.pref )
# print ( d.man.suff )
dvdd = False
if d.man.analyze(w): # any analysis possible?
root = ''.join(w.root) # if so, get parts of analysis
tan = w.pres + [root] + w.sufs
if len(w.sufs) > 0:
sx = w.sufs[-1]
dvdd = not ellyChar.isApostrophe(sx[1])
# print ( 'token analysis=' , tan )
while len(tan) > 0: # and put back into input
x = tan.pop()
buff.prepend(x)
buff.prepend(' ')
w = buff.getNext() # get token again with stemming and macros
# print ( 'analyzed w=' , w )
ws = ''.join(w.root)
if ws[-1] == '+':
# print ( 'len(queue)=' , len(tree.queue) )
m = d.ptb.match(w.root, tree)
# print ( 'root=' , w.root )
# print ( 'match=' , m )
# print ( 'len(queue)=' , len(tree.queue) )
# print ( 'char span=' , tree.lastph.lens )
if m > 0:
tree.lastph.bias = 2
found = True
# print ( 'after found=' , found )
if len(ws) < mnl: return None # external lookup?
if self._simpleTableLookUp(ws, tree, False,
wcapzn): # external lookup
found = True
if ws in self.rul.gtb.dctn: # internal lookup?
if tree.createPhrasesFromDictionary(ws, wsplit, wcapzn):
found = True
if found: # if any success, we are done
# print ( 'token recognized' )
w.dvdd = dvdd
return w
# print ( 'still unrecognized token w=' , str(w) )
lws = len(ws)
if lws > 1: # special handling of + or -
if ws[0] == '+' and ws[-1] != '+':
# print ( 'root=' , ws ) # marks root with prefixes removed
if self._simpleTableLookUp(ws[1:], tree) > 0:
return w
if ws[0] == '-':
w.shortenBy(lws - 1) # -X not recognized as suffix
# print ( 'w=' , w ) # try processing - separately
cn = buff.peek()
if ellyChar.isLetterOrDigit(cn):
buff.prepend(' ')
buff.prepend(ws[1:]) # put back X for further analysis
if self.pnc.match(w.root): # check if next token is punctuation
# print ( 'catg=' , self.pnc.catg , self.pnc.synf.hexadecimal() )
if tree.addLiteralPhrase(self.pnc.catg, self.pnc.synf):
tree.lastph.lens = w.getLength()
tree.lastph.krnl.semf.combine(self.pnc.semf)
# print ( 'semf=' , self.pnc.semf )
# print ( 'lastph=' , tree.lastph )
# print ( 'punc w=' , str(w) )
else:
# print ( 'must create UNKN leaf node' )
tree.createUnknownPhrase(w) # unknown type as last resort
tree.lastph.lens = len(ws)
return w
