class_docstr: Scans Greek texts that already contain macronized
  (i.e., long and shorts) texts.
class_docstr_tok: ["Scans","Greek","texts","that","already","contain","macronized","(","i.e.",",","long","and","shorts",")","texts","."]
docstr: Setup class variables.
docstr_tok: ["Setup","class","variables","."]
code: def __init__(self) -> None:
      """Setup class variables."""
      self.vowels = [
          "ε",
          "ι",
          "ο",
          "α",
          "η",
          "ω",
          "υ",
          "ῖ",
          "ᾶ",
      ]  # type: List[str]
      self.sing_cons = [
          "ς",
          "ρ",
          "τ",
          "θ",
          "π",
          "σ",
          "δ",
          "φ",
          "γ",
          "ξ",
          "κ",
          "λ",
          "χ",
          "β",
          "ν",
          "μ",
      ]  # type: List[str]
      self.doub_cons = ["ξ", "ζ", "ψ"]  # type: List[str]
      self.long_vowels = ["η", "ω", "ῖ", "ᾶ", "ῦ"]  # type: List[str]
      self.diphthongs = [
          "αι",
          "αῖ",
          "ευ",
          "εῦ",
          "αυ",
          "αῦ",
          "οι",
          "οῖ",
          "ου",
          "οῦ",
          "ει",
          "εῖ",
          "υι",
          "υῖ",
          "ηῦ",
      ]  # type: List[str]
      self.stops = ["π", "τ", "κ", "β", "δ", "γ"]  # type: List[str]
      self.liquids = ["ρ", "λ"]  # type: List[str]
      self.punc = [
          "!",
          "@",
          "#",
          "$",
          "%",
          "^",
          "&",
          "*",
          "(",
          ")",
          "-",
          "_",
          "=",
          "+",
          "}",
          "{",
          "[",
          "]",
          "1",
          "2",
          "3",
          "4",
          "5",
          "6",
          "7",
          "8",
          "9",
          "0",
          ",",
          "'",
          "᾽",
          "（",
          "）",
      ]  # type: List[str]
      self.punc_stops = ["·", ":", ";"]
  
file_path: cltk/src/cltk/prosody/grc.py
imports: from typing import List
  from cltk.core.cltk_logger import logger
label_desc: Use image node_id 1 to create a new Scansion object  with example: obj = Scansion()