import os
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import string
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from pathlib import Path
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from typing import Dict
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import pynini
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from pynini import Far
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from pynini.export import export
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from pynini.lib import byte, pynutil, utf8
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DAMO_CHAR = utf8.VALID_UTF8_CHAR
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DAMO_DIGIT = byte.DIGIT
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DAMO_LOWER = pynini.union(*string.ascii_lowercase).optimize()
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DAMO_UPPER = pynini.union(*string.ascii_uppercase).optimize()
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DAMO_ALPHA = pynini.union(DAMO_LOWER, DAMO_UPPER).optimize()
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DAMO_ALNUM = pynini.union(DAMO_DIGIT, DAMO_ALPHA).optimize()
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DAMO_HEX = pynini.union(*string.hexdigits).optimize()
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DAMO_NON_BREAKING_SPACE = "\u00A0"
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DAMO_SPACE = " "
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DAMO_WHITE_SPACE = pynini.union(" ", "\t", "\n", "\r", "\u00A0").optimize()
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DAMO_NOT_SPACE = pynini.difference(DAMO_CHAR, DAMO_WHITE_SPACE).optimize()
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DAMO_NOT_QUOTE = pynini.difference(DAMO_CHAR, r'"').optimize()
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DAMO_PUNCT = pynini.union(*map(pynini.escape, string.punctuation)).optimize()
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DAMO_GRAPH = pynini.union(DAMO_ALNUM, DAMO_PUNCT).optimize()
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DAMO_SIGMA = pynini.closure(DAMO_CHAR)
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delete_space = pynutil.delete(pynini.closure(DAMO_WHITE_SPACE))
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insert_space = pynutil.insert(" ")
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delete_extra_space = pynini.cross(pynini.closure(DAMO_WHITE_SPACE, 1), " ")
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# French frequently compounds numbers with hyphen.
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delete_hyphen = pynutil.delete(pynini.closure("-", 0, 1))
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insert_hyphen = pynutil.insert("-")
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TO_LOWER = pynini.union(
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*[pynini.cross(x, y) for x, y in zip(string.ascii_uppercase, string.ascii_lowercase)]
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)
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TO_UPPER = pynini.invert(TO_LOWER)
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def generator_main(file_name: str, graphs: Dict[str, pynini.FstLike]):
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"""
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Exports graph as OpenFst finite state archive (FAR) file with given file name and rule name.
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Args:
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file_name: exported file name
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graphs: Mapping of a rule name and Pynini WFST graph to be exported
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"""
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exporter = export.Exporter(file_name)
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for rule, graph in graphs.items():
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exporter[rule] = graph.optimize()
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exporter.close()
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print(f"Created {file_name}")
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def convert_space(fst) -> "pynini.FstLike":
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"""
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Converts space to nonbreaking space.
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Used only in tagger grammars for transducing token values within quotes, e.g. name: "hello kitty"
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This is making transducer significantly slower, so only use when there could be potential spaces within quotes, otherwise leave it.
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Args:
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fst: input fst
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Returns output fst where breaking spaces are converted to non breaking spaces
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"""
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return fst @ pynini.cdrewrite(
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pynini.cross(DAMO_SPACE, DAMO_NON_BREAKING_SPACE), "", "", DAMO_SIGMA
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)
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class GraphFst:
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"""
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Base class for all grammar fsts.
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Args:
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name: name of grammar class
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kind: either 'classify' or 'verbalize'
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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, name: str, kind: str, deterministic: bool = True):
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self.name = name
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self.kind = kind
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self._fst = None
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self.deterministic = deterministic
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self.far_path = Path(os.path.dirname(__file__) + "/grammars/" + kind + "/" + name + ".far")
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if self.far_exist():
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self._fst = Far(
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self.far_path, mode="r", arc_type="standard", far_type="default"
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).get_fst()
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def far_exist(self) -> bool:
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"""
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Returns true if FAR can be loaded
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"""
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return self.far_path.exists()
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@property
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def fst(self) -> "pynini.FstLike":
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return self._fst
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@fst.setter
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def fst(self, fst):
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self._fst = fst
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def add_tokens(self, fst) -> "pynini.FstLike":
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"""
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Wraps class name around to given fst
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Args:
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fst: input fst
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Returns:
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Fst: fst
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"""
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return pynutil.insert(f"{self.name} {{ ") + fst + pynutil.insert(" }")
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def delete_tokens(self, fst) -> "pynini.FstLike":
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"""
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Deletes class name wrap around output of given fst
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Args:
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fst: input fst
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Returns:
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Fst: fst
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"""
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res = (
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pynutil.delete(f"{self.name}")
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+ delete_space
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+ pynutil.delete("{")
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+ delete_space
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+ fst
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+ delete_space
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+ pynutil.delete("}")
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)
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return res @ pynini.cdrewrite(pynini.cross("\u00A0", " "), "", "", DAMO_SIGMA)
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