# Copyright NeMo (https://github.com/NVIDIA/NeMo). All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import pynini
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from fun_text_processing.text_normalization.zh.graph_utils import GraphFst, delete_space, generator_main
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from fun_text_processing.text_normalization.zh.verbalizers.postprocessor import PostProcessor
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from fun_text_processing.text_normalization.zh.verbalizers.verbalize import VerbalizeFst
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from pynini.lib import pynutil
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# import logging
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class VerbalizeFinalFst(GraphFst):
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"""
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"""
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def __init__(self, deterministic: bool = True, cache_dir: str = None, overwrite_cache: bool = False):
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super().__init__(name="verbalize_final", kind="verbalize", deterministic=deterministic)
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far_file = None
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if cache_dir is not None and cache_dir != "None":
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os.makedirs(cache_dir, exist_ok=True)
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far_file = os.path.join(cache_dir, f"zh_tn_{deterministic}_deterministic_verbalizer.far")
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if not overwrite_cache and far_file and os.path.exists(far_file):
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self.fst = pynini.Far(far_file, mode="r")["verbalize"]
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else:
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token_graph = VerbalizeFst(deterministic=deterministic)
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token_verbalizer = (
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pynutil.delete("tokens {") + delete_space + token_graph.fst + delete_space + pynutil.delete(" }")
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)
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verbalizer = pynini.closure(delete_space + token_verbalizer + delete_space)
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postprocessor = PostProcessor(remove_puncts=False, to_upper=False, to_lower=False, tag_oov=False,)
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self.fst = (verbalizer @ postprocessor.fst).optimize()
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if far_file:
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generator_main(far_file, {"verbalize": self.fst})
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