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/inverse_text_normalization/de/verbalizers/cardinal.py |   19 ++++---------------
 1 files changed, 4 insertions(+), 15 deletions(-)

diff --git a/fun_text_processing/inverse_text_normalization/de/verbalizers/cardinal.py b/fun_text_processing/inverse_text_normalization/de/verbalizers/cardinal.py
index ea8d65a..a9f8426 100644
--- a/fun_text_processing/inverse_text_normalization/de/verbalizers/cardinal.py
+++ b/fun_text_processing/inverse_text_normalization/de/verbalizers/cardinal.py
@@ -1,17 +1,4 @@
-
-# Copyright NeMo (https://github.com/NVIDIA/NeMo). All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
+import pynini
 from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst
 from pynini.lib import pynutil
 
@@ -28,7 +15,9 @@
     def __init__(self, tn_cardinal_verbalizer: GraphFst, deterministic: bool = True):
         super().__init__(name="cardinal", kind="verbalize", deterministic=deterministic)
         self.numbers = tn_cardinal_verbalizer.numbers
-        optional_sign = pynini.closure(pynutil.delete("negative: \"") + DAMO_NOT_QUOTE + pynutil.delete("\" "), 0, 1)
+        optional_sign = pynini.closure(
+            pynutil.delete('negative: "') + DAMO_NOT_QUOTE + pynutil.delete('" '), 0, 1
+        )
         graph = optional_sign + self.numbers
         delete_tokens = self.delete_tokens(graph)
         self.fst = delete_tokens.optimize()

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