kongdeqiang
2026-03-13 28ccfbfc51068a663a80764e14074df5edf2b5ba
fun_text_processing/inverse_text_normalization/de/verbalizers/decimal.py
@@ -1,19 +1,9 @@
# Copyright NeMo (https://github.com/NVIDIA/NeMo). All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pynini
from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_preserve_order
from fun_text_processing.text_normalization.en.graph_utils import (
    DAMO_NOT_QUOTE,
    GraphFst,
    delete_preserve_order,
)
from pynini.lib import pynutil
@@ -30,13 +20,17 @@
        super().__init__(name="decimal", kind="verbalize", deterministic=deterministic)
        delete_space = pynutil.delete(" ")
        optional_sign = pynini.closure(
            pynutil.delete("negative: \"") + DAMO_NOT_QUOTE + pynutil.delete("\"") + delete_space, 0, 1
            pynutil.delete('negative: "') + DAMO_NOT_QUOTE + pynutil.delete('"') + delete_space,
            0,
            1,
        )
        optional_integer = pynini.closure(tn_decimal_verbalizer.integer, 0, 1)
        optional_fractional = pynini.closure(
            delete_space + pynutil.insert(",") + tn_decimal_verbalizer.fractional_default, 0, 1
        )
        graph = (optional_integer + optional_fractional + tn_decimal_verbalizer.optional_quantity).optimize()
        graph = (
            optional_integer + optional_fractional + tn_decimal_verbalizer.optional_quantity
        ).optimize()
        self.numbers = optional_sign + graph
        graph = self.numbers + delete_preserve_order
        delete_tokens = self.delete_tokens(graph)