def __str__(self) -> str:
'''Return a string representation of this object
For visualization and debug only.
'''
if hasattr(self, 'aux_labels'):
aux_labels = self.aux_labels.to(torch.int32)
else:
aux_labels = None
if self.arcs.num_axes() == 2:
ans = 'k2.Fsa: ' + _fsa_to_str(self.arcs, False, aux_labels)
else:
ans = 'k2.FsaVec: \n'
for i in range(self.shape[0]):
# get the i-th Fsa
ragged_arc, start = self.arcs.index(0, i)
end = start + ragged_arc.values().shape[0]
ans += 'FsaVec[' + str(i) + ']: ' + _fsa_to_str(
ragged_arc, False,
None if aux_labels is None else aux_labels[start:end])
ans += 'properties_str = ' + _k2.fsa_properties_as_str(
self._properties) + '.'
for name, value in self.named_tensor_attr(include_scores=False):
sep = '\n'
ans += f'{sep}{name}: {value}'
for name, value in self.named_non_tensor_attr():
if name == 'symbols':
continue
sep = '\n'
ans += f'{sep}{name}: {value}'
return ans
def __str__(self) -> str:
'''Return a string representation of this object (note: does not
contain all the information in it for now)'''
if hasattr(self, 'aux_labels'):
aux_labels = self.aux_labels.to(torch.int32)
else:
aux_labels = None
ans = "k2.Fsa: " + _fsa_to_str(self.arcs, False, aux_labels)
ans += "properties_str = " + _k2.fsa_properties_as_str(
self._properties) + "."
return ans
def __str__(self) -> str:
'''Return a string representation of this object (note: does not
contain all the information in it for now)'''
if hasattr(self, 'aux_labels'):
aux_labels = self.aux_labels.to(torch.int32)
else:
aux_labels = None
if self.arcs.num_axes() == 2:
ans = "k2.Fsa: " + _fsa_to_str(self.arcs, False, aux_labels)
else:
ans = "k2.FsaVec: \n"
for i in range(self.shape[0]):
# get the i-th Fsa
ragged_arc, start = self.arcs.index(0, i)
end = start + ragged_arc.values().shape[0]
ans += "FsaVec[" + str(i) + "]: " + _fsa_to_str(
ragged_arc, False,
None if aux_labels is None else aux_labels[start:end])
ans += "properties_str = " + _k2.fsa_properties_as_str(
self._properties) + "."
return ans
def to_str(self, negate_scores: bool = False) -> str:
'''Convert an Fsa to a string.
Note:
The returned string can be used to construct an Fsa.
Args:
negate_scores:
Optional. If true, we negate the score during the conversion,
Returns:
A string representation of the Fsa.
'''
return _fsa_to_str(self._fsa, negate_scores, self._aux_labels)
def to_str(fsa: Fsa, openfst: bool = False) -> str:
'''Convert an Fsa to a string.
Note:
The returned string can be used to construct an Fsa.
Args:
openfst:
Optional. If true, we negate the scores during the conversion,
Returns:
A string representation of the Fsa.
'''
if hasattr(fsa, 'aux_labels'):
aux_labels = fsa.aux_labels.to(torch.int32)
else:
aux_labels = None
return _fsa_to_str(fsa.arcs, openfst, aux_labels)
