onlybetheone
2022-12-22 ff477cf1487a074d9febcf7472ecb397a83a8964
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# 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.inverse_text_normalization.ja.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_space, DAMO_SIGMA, delete_extra_space
from pynini.lib import pynutil
 
 
class FractionFst(GraphFst):
    """
    Finite state transducer for verbalizing fraction,
        e.g. fraction { numerator: "2" denominator: "3" } } -> 2/3
        e.g. fraction { numerator: "20" denominator: "3" negative: "true"} } -> 2/3
    """
 
    def __init__(self):
        super().__init__(name="fraction", kind="verbalize")
        optional_sign = pynini.closure(pynini.cross('negative: "true"', "-") + delete_space, 0, 1)
        numerator = pynutil.delete('numerator: "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
 
        denominator = (
            pynutil.insert("/")
            + pynutil.delete('denominator: "')
            + pynini.closure(DAMO_NOT_QUOTE, 1)
            + pynutil.delete('"')
        )
 
        graph = (numerator + delete_space + denominator).optimize()
 
        # numerator = pynutil.delete('numerator: "') + DAMO_NOT_QUOTE + pynutil.delete('"')
        #
        # denominator = (
        #     pynutil.delete('denominator: "')
        #     + DAMO_NOT_QUOTE
        #     + pynutil.delete('"')
        # )
        #
        # graph = (numerator + pynutil.insert("/") + denominator).optimize()
 
        self.numbers = graph
        delete_tokens = self.delete_tokens(optional_sign + graph)
        self.fst = delete_tokens.optimize()