From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
fun_text_processing/text_normalization/ru/verbalizers/decimal.py | 23 +++++++++++++++--------
1 files changed, 15 insertions(+), 8 deletions(-)
diff --git a/fun_text_processing/text_normalization/ru/verbalizers/decimal.py b/fun_text_processing/text_normalization/ru/verbalizers/decimal.py
index 4fd5dbd..ee1f2b4 100644
--- a/fun_text_processing/text_normalization/ru/verbalizers/decimal.py
+++ b/fun_text_processing/text_normalization/ru/verbalizers/decimal.py
@@ -1,7 +1,9 @@
-
-
import pynini
-from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_space
+from fun_text_processing.text_normalization.en.graph_utils import (
+ DAMO_NOT_QUOTE,
+ GraphFst,
+ delete_space,
+)
from pynini.lib import pynutil
@@ -19,21 +21,26 @@
def __init__(self, deterministic: bool = True):
super().__init__(name="decimal", kind="verbalize", deterministic=deterministic)
- optional_sign = pynini.closure(pynini.cross("negative: \"true\" ", "屑懈薪褍褋 "), 0, 1)
- integer = pynutil.delete(" \"") + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete("\"")
+ optional_sign = pynini.closure(pynini.cross('negative: "true" ', "屑懈薪褍褋 "), 0, 1)
+ integer = pynutil.delete(' "') + pynini.closure(DAMO_NOT_QUOTE, 1) + pynutil.delete('"')
integer_part = pynutil.delete("integer_part:") + integer
fractional_part = pynutil.delete("fractional_part:") + integer
optional_quantity_part = pynini.closure(
pynini.accep(" ")
- + pynutil.delete("quantity: \"")
+ + pynutil.delete('quantity: "')
+ pynini.closure(DAMO_NOT_QUOTE, 1)
- + pynutil.delete("\""),
+ + pynutil.delete('"'),
0,
1,
)
self.graph = (
- optional_sign + integer_part + pynini.accep(" ") + fractional_part + optional_quantity_part + delete_space
+ optional_sign
+ + integer_part
+ + pynini.accep(" ")
+ + fractional_part
+ + optional_quantity_part
+ + delete_space
)
delete_tokens = self.delete_tokens(self.graph)
self.fst = delete_tokens.optimize()
--
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