chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:25:10 +08:00
commit c397331b1e
3684 changed files with 990993 additions and 0 deletions
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import pynini
from fun_text_processing.text_normalization.en.graph_utils import (
DAMO_NOT_QUOTE,
GraphFst,
delete_extra_space,
delete_preserve_order,
)
from pynini.lib import pynutil
class MeasureFst(GraphFst):
"""
Finite state transducer for verbalizing measure, e.g.
measure { cardinal { integer: "zwei" units: "unzen" } } -> "zwei unzen"
measure { cardinal { integer_part: "zwei" quantity: "millionen" units: "unzen" } } -> "zwei millionen unzen"
Args:
decimal: decimal GraphFst
cardinal: cardinal GraphFst
fraction: fraction GraphFst
deterministic: if True will provide a single transduction option,
for False multiple transduction are generated (used for audio-based normalization)
"""
def __init__(
self, decimal: GraphFst, cardinal: GraphFst, fraction: GraphFst, deterministic: bool
):
super().__init__(name="measure", kind="verbalize", deterministic=deterministic)
unit = pynutil.delete('units: "') + pynini.closure(DAMO_NOT_QUOTE) + pynutil.delete('"')
graph_decimal = decimal.fst
graph_cardinal = cardinal.fst
graph_fraction = fraction.fst
graph = (graph_cardinal | graph_decimal | graph_fraction) + pynini.accep(" ") + unit
graph |= unit + delete_extra_space + (graph_cardinal | graph_decimal)
graph += delete_preserve_order
delete_tokens = self.delete_tokens(graph)
self.fst = delete_tokens.optimize()