YuriHead
GitHub
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}
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{"<|endoftext|>": 50257}
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
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{"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "multilingual", "errors": "replace", "tokenizer_class": "GPT2Tokenizer"}
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from .basic import BasicTextNormalizer
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from .english import EnglishTextNormalizer
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import re
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import unicodedata
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import regex
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# non-ASCII letters that are not separated by "NFKD" normalization
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ADDITIONAL_DIACRITICS = {
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"œ": "oe",
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"Œ": "OE",
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"ø": "o",
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"Ø": "O",
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"æ": "ae",
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"Æ": "AE",
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"ß": "ss",
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"ẞ": "SS",
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"đ": "d",
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"Đ": "D",
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"ð": "d",
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"Ð": "D",
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"þ": "th",
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"Þ": "th",
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"ł": "l",
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"Ł": "L",
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}
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def remove_symbols_and_diacritics(s: str, keep=""):
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"""
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Replace any other markers, symbols, and punctuations with a space,
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and drop any diacritics (category 'Mn' and some manual mappings)
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"""
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return "".join(
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c
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if c in keep
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else ADDITIONAL_DIACRITICS[c]
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if c in ADDITIONAL_DIACRITICS
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else ""
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if unicodedata.category(c) == "Mn"
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else " "
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if unicodedata.category(c)[0] in "MSP"
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else c
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for c in unicodedata.normalize("NFKD", s)
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)
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def remove_symbols(s: str):
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"""
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Replace any other markers, symbols, punctuations with a space, keeping diacritics
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"""
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return "".join(
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" " if unicodedata.category(c)[0] in "MSP" else c for c in unicodedata.normalize("NFKC", s)
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)
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class BasicTextNormalizer:
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def __init__(self, remove_diacritics: bool = False, split_letters: bool = False):
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self.clean = remove_symbols_and_diacritics if remove_diacritics else remove_symbols
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self.split_letters = split_letters
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def __call__(self, s: str):
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s = s.lower()
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s = re.sub(r"[<\[][^>\]]*[>\]]", "", s) # remove words between brackets
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s = re.sub(r"\(([^)]+?)\)", "", s) # remove words between parenthesis
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s = self.clean(s).lower()
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if self.split_letters:
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s = " ".join(regex.findall(r"\X", s, regex.U))
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s = re.sub(r"\s+", " ", s) # replace any successive whitespace characters with a space
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return s
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import json
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import os
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import re
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from fractions import Fraction
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from typing import Iterator, List, Match, Optional, Union
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from more_itertools import windowed
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from .basic import remove_symbols_and_diacritics
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class EnglishNumberNormalizer:
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"""
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Convert any spelled-out numbers into arabic numbers, while handling:
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- remove any commas
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- keep the suffixes such as: `1960s`, `274th`, `32nd`, etc.
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- spell out currency symbols after the number. e.g. `$20 million` -> `20000000 dollars`
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- spell out `one` and `ones`
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- interpret successive single-digit numbers as nominal: `one oh one` -> `101`
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"""
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def __init__(self):
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super().__init__()
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self.zeros = {"o", "oh", "zero"}
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self.ones = {
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name: i
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for i, name in enumerate(
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[
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"one",
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"two",
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"three",
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"four",
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"five",
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"six",
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"seven",
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"eight",
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"nine",
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"ten",
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"eleven",
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"twelve",
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"thirteen",
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"fourteen",
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"fifteen",
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"sixteen",
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"seventeen",
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"eighteen",
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"nineteen",
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],
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start=1,
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)
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}
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self.ones_plural = {
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"sixes" if name == "six" else name + "s": (value, "s")
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for name, value in self.ones.items()
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}
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self.ones_ordinal = {
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"zeroth": (0, "th"),
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"first": (1, "st"),
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"second": (2, "nd"),
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"third": (3, "rd"),
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"fifth": (5, "th"),
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"twelfth": (12, "th"),
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**{
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name + ("h" if name.endswith("t") else "th"): (value, "th")
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for name, value in self.ones.items()
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if value > 3 and value != 5 and value != 12
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},
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}
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self.ones_suffixed = {**self.ones_plural, **self.ones_ordinal}
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self.tens = {
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"twenty": 20,
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"thirty": 30,
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"forty": 40,
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"fifty": 50,
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"sixty": 60,
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"seventy": 70,
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"eighty": 80,
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"ninety": 90,
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}
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self.tens_plural = {
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name.replace("y", "ies"): (value, "s") for name, value in self.tens.items()
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}
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self.tens_ordinal = {
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name.replace("y", "ieth"): (value, "th") for name, value in self.tens.items()
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}
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self.tens_suffixed = {**self.tens_plural, **self.tens_ordinal}
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self.multipliers = {
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"hundred": 100,
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"thousand": 1_000,
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"million": 1_000_000,
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"billion": 1_000_000_000,
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"trillion": 1_000_000_000_000,
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"quadrillion": 1_000_000_000_000_000,
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"quintillion": 1_000_000_000_000_000_000,
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"sextillion": 1_000_000_000_000_000_000_000,
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"septillion": 1_000_000_000_000_000_000_000_000,
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"octillion": 1_000_000_000_000_000_000_000_000_000,
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"nonillion": 1_000_000_000_000_000_000_000_000_000_000,
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"decillion": 1_000_000_000_000_000_000_000_000_000_000_000,
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}
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self.multipliers_plural = {
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name + "s": (value, "s") for name, value in self.multipliers.items()
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}
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self.multipliers_ordinal = {
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name + "th": (value, "th") for name, value in self.multipliers.items()
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}
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self.multipliers_suffixed = {**self.multipliers_plural, **self.multipliers_ordinal}
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self.decimals = {*self.ones, *self.tens, *self.zeros}
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self.preceding_prefixers = {
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"minus": "-",
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"negative": "-",
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"plus": "+",
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"positive": "+",
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}
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self.following_prefixers = {
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"pound": "£",
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"pounds": "£",
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"euro": "€",
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"euros": "€",
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"dollar": "$",
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"dollars": "$",
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"cent": "¢",
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"cents": "¢",
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}
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self.prefixes = set(
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list(self.preceding_prefixers.values()) + list(self.following_prefixers.values())
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)
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self.suffixers = {
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"per": {"cent": "%"},
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"percent": "%",
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}
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self.specials = {"and", "double", "triple", "point"}
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self.words = set(
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[
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key
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for mapping in [
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self.zeros,
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self.ones,
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self.ones_suffixed,
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self.tens,
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self.tens_suffixed,
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self.multipliers,
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self.multipliers_suffixed,
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self.preceding_prefixers,
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self.following_prefixers,
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self.suffixers,
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self.specials,
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]
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for key in mapping
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]
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)
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self.literal_words = {"one", "ones"}
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def process_words(self, words: List[str]) -> Iterator[str]:
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prefix: Optional[str] = None
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value: Optional[Union[str, int]] = None
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skip = False
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def to_fraction(s: str):
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try:
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return Fraction(s)
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except ValueError:
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return None
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def output(result: Union[str, int]):
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nonlocal prefix, value
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result = str(result)
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if prefix is not None:
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result = prefix + result
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value = None
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prefix = None
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return result
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if len(words) == 0:
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return
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for prev, current, next in windowed([None] + words + [None], 3):
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if skip:
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skip = False
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continue
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next_is_numeric = next is not None and re.match(r"^\d+(\.\d+)?$", next)
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has_prefix = current[0] in self.prefixes
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current_without_prefix = current[1:] if has_prefix else current
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if re.match(r"^\d+(\.\d+)?$", current_without_prefix):
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# arabic numbers (potentially with signs and fractions)
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f = to_fraction(current_without_prefix)
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assert f is not None
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if value is not None:
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if isinstance(value, str) and value.endswith("."):
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# concatenate decimals / ip address components
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value = str(value) + str(current)
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continue
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else:
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yield output(value)
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prefix = current[0] if has_prefix else prefix
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if f.denominator == 1:
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value = f.numerator # store integers as int
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else:
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value = current_without_prefix
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elif current not in self.words:
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# non-numeric words
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if value is not None:
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yield output(value)
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yield output(current)
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elif current in self.zeros:
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value = str(value or "") + "0"
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elif current in self.ones:
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ones = self.ones[current]
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if value is None:
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value = ones
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elif isinstance(value, str) or prev in self.ones:
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if prev in self.tens and ones < 10: # replace the last zero with the digit
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assert value[-1] == "0"
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value = value[:-1] + str(ones)
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else:
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value = str(value) + str(ones)
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elif ones < 10:
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if value % 10 == 0:
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value += ones
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else:
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value = str(value) + str(ones)
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else: # eleven to nineteen
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if value % 100 == 0:
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value += ones
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else:
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value = str(value) + str(ones)
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elif current in self.ones_suffixed:
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# ordinal or cardinal; yield the number right away
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ones, suffix = self.ones_suffixed[current]
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if value is None:
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yield output(str(ones) + suffix)
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elif isinstance(value, str) or prev in self.ones:
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if prev in self.tens and ones < 10:
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assert value[-1] == "0"
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yield output(value[:-1] + str(ones) + suffix)
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else:
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yield output(str(value) + str(ones) + suffix)
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elif ones < 10:
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if value % 10 == 0:
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yield output(str(value + ones) + suffix)
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else:
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yield output(str(value) + str(ones) + suffix)
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else: # eleven to nineteen
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if value % 100 == 0:
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yield output(str(value + ones) + suffix)
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else:
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yield output(str(value) + str(ones) + suffix)
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value = None
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elif current in self.tens:
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tens = self.tens[current]
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if value is None:
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value = tens
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elif isinstance(value, str):
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value = str(value) + str(tens)
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else:
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if value % 100 == 0:
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value += tens
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else:
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value = str(value) + str(tens)
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elif current in self.tens_suffixed:
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# ordinal or cardinal; yield the number right away
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tens, suffix = self.tens_suffixed[current]
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if value is None:
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yield output(str(tens) + suffix)
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elif isinstance(value, str):
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yield output(str(value) + str(tens) + suffix)
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else:
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if value % 100 == 0:
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yield output(str(value + tens) + suffix)
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else:
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yield output(str(value) + str(tens) + suffix)
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elif current in self.multipliers:
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multiplier = self.multipliers[current]
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if value is None:
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value = multiplier
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elif isinstance(value, str) or value == 0:
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f = to_fraction(value)
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p = f * multiplier if f is not None else None
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if f is not None and p.denominator == 1:
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value = p.numerator
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else:
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yield output(value)
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value = multiplier
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else:
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before = value // 1000 * 1000
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residual = value % 1000
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value = before + residual * multiplier
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elif current in self.multipliers_suffixed:
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multiplier, suffix = self.multipliers_suffixed[current]
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if value is None:
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yield output(str(multiplier) + suffix)
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elif isinstance(value, str):
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f = to_fraction(value)
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p = f * multiplier if f is not None else None
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if f is not None and p.denominator == 1:
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yield output(str(p.numerator) + suffix)
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else:
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yield output(value)
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yield output(str(multiplier) + suffix)
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else: # int
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before = value // 1000 * 1000
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residual = value % 1000
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value = before + residual * multiplier
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yield output(str(value) + suffix)
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value = None
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elif current in self.preceding_prefixers:
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# apply prefix (positive, minus, etc.) if it precedes a number
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if value is not None:
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yield output(value)
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if next in self.words or next_is_numeric:
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prefix = self.preceding_prefixers[current]
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else:
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yield output(current)
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elif current in self.following_prefixers:
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# apply prefix (dollars, cents, etc.) only after a number
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if value is not None:
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prefix = self.following_prefixers[current]
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yield output(value)
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else:
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yield output(current)
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elif current in self.suffixers:
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# apply suffix symbols (percent -> '%')
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if value is not None:
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suffix = self.suffixers[current]
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if isinstance(suffix, dict):
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if next in suffix:
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yield output(str(value) + suffix[next])
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skip = True
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else:
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yield output(value)
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yield output(current)
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else:
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yield output(str(value) + suffix)
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else:
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yield output(current)
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elif current in self.specials:
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if next not in self.words and not next_is_numeric:
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# apply special handling only if the next word can be numeric
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if value is not None:
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yield output(value)
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yield output(current)
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elif current == "and":
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||||
# ignore "and" after hundreds, thousands, etc.
|
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if prev not in self.multipliers:
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if value is not None:
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yield output(value)
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yield output(current)
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elif current == "double" or current == "triple":
|
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if next in self.ones or next in self.zeros:
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repeats = 2 if current == "double" else 3
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ones = self.ones.get(next, 0)
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value = str(value or "") + str(ones) * repeats
|
||||
skip = True
|
||||
else:
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||||
if value is not None:
|
||||
yield output(value)
|
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yield output(current)
|
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elif current == "point":
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if next in self.decimals or next_is_numeric:
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value = str(value or "") + "."
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else:
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# should all have been covered at this point
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raise ValueError(f"Unexpected token: {current}")
|
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else:
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# all should have been covered at this point
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||||
raise ValueError(f"Unexpected token: {current}")
|
||||
|
||||
if value is not None:
|
||||
yield output(value)
|
||||
|
||||
def preprocess(self, s: str):
|
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# replace "<number> and a half" with "<number> point five"
|
||||
results = []
|
||||
|
||||
segments = re.split(r"\band\s+a\s+half\b", s)
|
||||
for i, segment in enumerate(segments):
|
||||
if len(segment.strip()) == 0:
|
||||
continue
|
||||
if i == len(segments) - 1:
|
||||
results.append(segment)
|
||||
else:
|
||||
results.append(segment)
|
||||
last_word = segment.rsplit(maxsplit=2)[-1]
|
||||
if last_word in self.decimals or last_word in self.multipliers:
|
||||
results.append("point five")
|
||||
else:
|
||||
results.append("and a half")
|
||||
|
||||
s = " ".join(results)
|
||||
|
||||
# put a space at number/letter boundary
|
||||
s = re.sub(r"([a-z])([0-9])", r"\1 \2", s)
|
||||
s = re.sub(r"([0-9])([a-z])", r"\1 \2", s)
|
||||
|
||||
# but remove spaces which could be a suffix
|
||||
s = re.sub(r"([0-9])\s+(st|nd|rd|th|s)\b", r"\1\2", s)
|
||||
|
||||
return s
|
||||
|
||||
def postprocess(self, s: str):
|
||||
def combine_cents(m: Match):
|
||||
try:
|
||||
currency = m.group(1)
|
||||
integer = m.group(2)
|
||||
cents = int(m.group(3))
|
||||
return f"{currency}{integer}.{cents:02d}"
|
||||
except ValueError:
|
||||
return m.string
|
||||
|
||||
def extract_cents(m: Match):
|
||||
try:
|
||||
return f"¢{int(m.group(1))}"
|
||||
except ValueError:
|
||||
return m.string
|
||||
|
||||
# apply currency postprocessing; "$2 and ¢7" -> "$2.07"
|
||||
s = re.sub(r"([€£$])([0-9]+) (?:and )?¢([0-9]{1,2})\b", combine_cents, s)
|
||||
s = re.sub(r"[€£$]0.([0-9]{1,2})\b", extract_cents, s)
|
||||
|
||||
# write "one(s)" instead of "1(s)", just for the readability
|
||||
s = re.sub(r"\b1(s?)\b", r"one\1", s)
|
||||
|
||||
return s
|
||||
|
||||
def __call__(self, s: str):
|
||||
s = self.preprocess(s)
|
||||
s = " ".join(word for word in self.process_words(s.split()) if word is not None)
|
||||
s = self.postprocess(s)
|
||||
|
||||
return s
|
||||
|
||||
|
||||
class EnglishSpellingNormalizer:
|
||||
"""
|
||||
Applies British-American spelling mappings as listed in [1].
|
||||
|
||||
[1] https://www.tysto.com/uk-us-spelling-list.html
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
mapping_path = os.path.join(os.path.dirname(__file__), "english.json")
|
||||
self.mapping = json.load(open(mapping_path))
|
||||
|
||||
def __call__(self, s: str):
|
||||
return " ".join(self.mapping.get(word, word) for word in s.split())
|
||||
|
||||
|
||||
class EnglishTextNormalizer:
|
||||
def __init__(self):
|
||||
self.ignore_patterns = r"\b(hmm|mm|mhm|mmm|uh|um)\b"
|
||||
self.replacers = {
|
||||
# common contractions
|
||||
r"\bwon't\b": "will not",
|
||||
r"\bcan't\b": "can not",
|
||||
r"\blet's\b": "let us",
|
||||
r"\bain't\b": "aint",
|
||||
r"\by'all\b": "you all",
|
||||
r"\bwanna\b": "want to",
|
||||
r"\bgotta\b": "got to",
|
||||
r"\bgonna\b": "going to",
|
||||
r"\bi'ma\b": "i am going to",
|
||||
r"\bimma\b": "i am going to",
|
||||
r"\bwoulda\b": "would have",
|
||||
r"\bcoulda\b": "could have",
|
||||
r"\bshoulda\b": "should have",
|
||||
r"\bma'am\b": "madam",
|
||||
# contractions in titles/prefixes
|
||||
r"\bmr\b": "mister ",
|
||||
r"\bmrs\b": "missus ",
|
||||
r"\bst\b": "saint ",
|
||||
r"\bdr\b": "doctor ",
|
||||
r"\bprof\b": "professor ",
|
||||
r"\bcapt\b": "captain ",
|
||||
r"\bgov\b": "governor ",
|
||||
r"\bald\b": "alderman ",
|
||||
r"\bgen\b": "general ",
|
||||
r"\bsen\b": "senator ",
|
||||
r"\brep\b": "representative ",
|
||||
r"\bpres\b": "president ",
|
||||
r"\brev\b": "reverend ",
|
||||
r"\bhon\b": "honorable ",
|
||||
r"\basst\b": "assistant ",
|
||||
r"\bassoc\b": "associate ",
|
||||
r"\blt\b": "lieutenant ",
|
||||
r"\bcol\b": "colonel ",
|
||||
r"\bjr\b": "junior ",
|
||||
r"\bsr\b": "senior ",
|
||||
r"\besq\b": "esquire ",
|
||||
# prefect tenses, ideally it should be any past participles, but it's harder..
|
||||
r"'d been\b": " had been",
|
||||
r"'s been\b": " has been",
|
||||
r"'d gone\b": " had gone",
|
||||
r"'s gone\b": " has gone",
|
||||
r"'d done\b": " had done", # "'s done" is ambiguous
|
||||
r"'s got\b": " has got",
|
||||
# general contractions
|
||||
r"n't\b": " not",
|
||||
r"'re\b": " are",
|
||||
r"'s\b": " is",
|
||||
r"'d\b": " would",
|
||||
r"'ll\b": " will",
|
||||
r"'t\b": " not",
|
||||
r"'ve\b": " have",
|
||||
r"'m\b": " am",
|
||||
}
|
||||
self.standardize_numbers = EnglishNumberNormalizer()
|
||||
self.standardize_spellings = EnglishSpellingNormalizer()
|
||||
|
||||
def __call__(self, s: str):
|
||||
s = s.lower()
|
||||
|
||||
s = re.sub(r"[<\[][^>\]]*[>\]]", "", s) # remove words between brackets
|
||||
s = re.sub(r"\(([^)]+?)\)", "", s) # remove words between parenthesis
|
||||
s = re.sub(self.ignore_patterns, "", s)
|
||||
s = re.sub(r"\s+'", "'", s) # standardize when there's a space before an apostrophe
|
||||
|
||||
for pattern, replacement in self.replacers.items():
|
||||
s = re.sub(pattern, replacement, s)
|
||||
|
||||
s = re.sub(r"(\d),(\d)", r"\1\2", s) # remove commas between digits
|
||||
s = re.sub(r"\.([^0-9]|$)", r" \1", s) # remove periods not followed by numbers
|
||||
s = remove_symbols_and_diacritics(s, keep=".%$¢€£") # keep some symbols for numerics
|
||||
|
||||
s = self.standardize_numbers(s)
|
||||
s = self.standardize_spellings(s)
|
||||
|
||||
# now remove prefix/suffix symbols that are not preceded/followed by numbers
|
||||
s = re.sub(r"[.$¢€£]([^0-9])", r" \1", s)
|
||||
s = re.sub(r"([^0-9])%", r"\1 ", s)
|
||||
|
||||
s = re.sub(r"\s+", " ", s) # replace any successive whitespace characters with a space
|
||||
|
||||
return s
|
||||
Loading…
Reference in New Issue