def fsa(arg):
"""
Get a transducer (automaton in this case) that recognizes one or more paths.
Parameters
----------
* `arg` :
See example below
Possible inputs:
One unweighted identity path:
'foo' -> [f o o]
Weighted path: a tuple of string and number, e.g.
('foo',1.4)
('bar',-3)
('baz',0)
Several paths: a list or a tuple of paths and/or weighted paths, e.g.
['foo', 'bar']
('foo', ('bar',5.0))
('foo', ('bar',5.0), 'baz', 'Foo', ('Bar',2.4))
[('foo',-1), ('bar',0), ('baz',3.5)]
"""
deftok = HfstTokenizer()
retval = HfstBasicTransducer()
if isinstance(arg, str):
if len(arg) == 0:
retval.set_final_weight(0, 0) # epsilon transducer with zero weight
else:
retval.disjunct(deftok.tokenize(_check_word(arg)), 0)
elif _is_weighted_word(arg):
if len(arg) == 0:
retval.set_final_weight(0, arg[1]) # epsilon transducer with weight
else:
retval.disjunct(deftok.tokenize(_check_word(arg[0])), arg[1])
elif isinstance(arg, tuple) or isinstance(arg, list):
for word in arg:
if _is_weighted_word(word):
if len(word) == 0:
retval.set_final_weight(0, word[1]) # epsilon transducer with weight
else:
retval.disjunct(deftok.tokenize(_check_word(word[0])), word[1])
elif isinstance(word, str):
if len(word) == 0:
retval.set_final_weight(0, 0) # epsilon transducer with zero weight
else:
retval.disjunct(deftok.tokenize(_check_word(word)), 0)
else:
raise RuntimeError('Tuple/list element not a string or tuple of string and weight.')
else:
raise RuntimeError('Not a string or tuple/list of strings.')
return HfstTransducer(retval, get_default_fst_type())
def fsa(arg):
"""
Get a transducer (automaton in this case) that recognizes one or more paths.
Parameters
----------
* `arg` :
See example below
Possible inputs:
One unweighted identity path:
'foo' -> [f o o]
Weighted path: a tuple of string and number, e.g.
('foo',1.4)
('bar',-3)
('baz',0)
Several paths: a list or a tuple of paths and/or weighted paths, e.g.
['foo', 'bar']
('foo', ('bar',5.0))
('foo', ('bar',5.0), 'baz', 'Foo', ('Bar',2.4))
[('foo',-1), ('bar',0), ('baz',3.5)]
"""
deftok = HfstTokenizer()
retval = HfstBasicTransducer()
if isinstance(arg, str):
if len(arg) == 0:
retval.set_final_weight(0, 0) # epsilon transducer with zero weight
else:
retval.disjunct(deftok.tokenize(_check_word(arg)), 0)
elif _is_weighted_word(arg):
if len(arg) == 0:
retval.set_final_weight(0, arg[1]) # epsilon transducer with weight
else:
retval.disjunct(deftok.tokenize(_check_word(arg[0])), arg[1])
elif isinstance(arg, tuple) or isinstance(arg, list):
for word in arg:
if _is_weighted_word(word):
if len(word) == 0:
retval.set_final_weight(0, word[1]) # epsilon transducer with weight
else:
retval.disjunct(deftok.tokenize(_check_word(word[0])), word[1])
elif isinstance(word, str):
if len(word) == 0:
retval.set_final_weight(0, 0) # epsilon transducer with zero weight
else:
retval.disjunct(deftok.tokenize(_check_word(word)), 0)
else:
raise RuntimeError('Tuple/list element not a string or tuple of string and weight.')
else:
raise RuntimeError('Not a string or tuple/list of strings.')
return HfstTransducer(retval, get_default_fst_type())