import pynini
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from fun_text_processing.text_normalization.en.graph_utils import GraphFst
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from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA
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from pynini.lib import pynutil
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class ElectronicFst(GraphFst):
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"""
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Finite state transducer for verbalizing electronic
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e.g. electronic { username: "эй би собака эн ди точка ру" } -> "эй би собака эн ди точка ру"
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Args:
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deterministic: if True will provide a single transduction option,
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for False multiple transduction are generated (used for audio-based normalization)
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"""
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def __init__(self, deterministic: bool = True):
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super().__init__(name="electronic", kind="verbalize", deterministic=deterministic)
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graph = pynutil.delete('username: "') + pynini.closure(RU_ALPHA | " ") + pynutil.delete('"')
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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