FunASR/fun_text_processing/inverse_text_normalization/vi/verbalizers/measure.py

import pynini
from fun_text_processing.inverse_text_normalization.vi.graph_utils import (
    DAMO_CHAR,
    DAMO_NOT_QUOTE,
    GraphFst,
    delete_space,
)
from pynini.lib import pynutil


class MeasureFst(GraphFst):
    """
    Finite state transducer for verbalizing measure, e.g.
        measure { negative: "true" cardinal { integer: "12" } units: "kg" } -> -12 kg

    Args:
        decimal: DecimalFst
        cardinal: CardinalFst
    """

    def __init__(self, decimal: GraphFst, cardinal: GraphFst):
        super().__init__(name="measure", kind="verbalize")
        optional_sign = pynini.closure(pynini.cross('negative: "true"', "-"), 0, 1)
        unit = (
            pynutil.delete("units:")
            + delete_space
            + pynutil.delete('"')
            + pynini.closure(DAMO_CHAR - " ", 1)
            + pynutil.delete('"')
            + delete_space
        )
        graph_decimal = (
            pynutil.delete("decimal {")
            + delete_space
            + optional_sign
            + delete_space
            + decimal.numbers
            + delete_space
            + pynutil.delete("}")
        )
        graph_cardinal = (
            pynutil.delete("cardinal {")
            + delete_space
            + optional_sign
            + delete_space
            + cardinal.numbers
            + delete_space
            + pynutil.delete("}")
        )
        fractional = (
            pynutil.insert(".")
            + pynutil.delete("fractional_part:")
            + delete_space
            + pynutil.delete('"')
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete('"')
        )
        optional_fractional = pynini.closure(fractional + delete_space, 0, 1)
        graph = (
            (graph_cardinal | graph_decimal)
            + delete_space
            + optional_fractional
            + pynutil.insert(" ")
            + unit
            + delete_space
        )
        delete_tokens = self.delete_tokens(graph)
        self.fst = delete_tokens.optimize()