# Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES.  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
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import pynini
from pynini.lib import pynutil

from nemo_text_processing.text_normalization.en.graph_utils import NEMO_NOT_QUOTE, NEMO_SPACE, GraphFst, delete_space


class DecimalFst(GraphFst):
    """
    Finite state transducer for verbalizing decimal, e.g.
        decimal { negative: "true" integer_part: "3," fractional_part: "2" } -> -3,2

    Args:
        deterministic: if True will provide a single transduction option,
            for False multiple transduction are generated (used for audio-based normalization)
    """

    def __init__(self, deterministic: bool = True):
        super().__init__(name="decimal", kind="verbalize", deterministic=deterministic)

        optional_sign = pynini.closure(pynini.cross("negative: \"true\" ", "-"), 0, 1)

        integer = pynutil.delete(" \"") + pynini.closure(NEMO_NOT_QUOTE, 1) + pynutil.delete("\"")
        integer_part = pynutil.delete("integer_part:") + integer
        fractional_part = pynutil.delete("fractional_part:") + integer
        optional_quantity = pynini.closure(pynini.accep(NEMO_SPACE) + pynutil.delete("quantity:") + integer, 0, 1)

        graph = optional_sign + integer_part + delete_space + fractional_part + optional_quantity
        delete_tokens = self.delete_tokens(graph)
        self.fst = delete_tokens.optimize()