chore: import upstream snapshot with attribution

2026-07-13 13:25:10 +08:00
commit c397331b1e
3684 changed files with 990993 additions and 0 deletions
@@ -0,0 +1,56 @@
+import pynini
+from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst
+from fun_text_processing.text_normalization.en.verbalizers.ordinal import OrdinalFst
+from pynini.lib import pynutil
+
+
+class RomanFst(GraphFst):
+    """
+    Finite state transducer for verbalizing roman numerals
+        e.g. tokens { roman { integer: "one" } } -> one
+
+    Args:
+        deterministic: if True will provide a single transduction option,
+            for False multiple transduction are generated (used for audio-based normalization)
+    """
+
+    def __init__(self, deterministic: bool = True):
+        super().__init__(name="roman", kind="verbalize", deterministic=deterministic)
+        suffix = OrdinalFst().suffix
+
+        cardinal = pynini.closure(DAMO_NOT_QUOTE)
+        ordinal = pynini.compose(cardinal, suffix)
+
+        graph = (
+            pynutil.delete('key_cardinal: "')
+            + pynini.closure(DAMO_NOT_QUOTE, 1)
+            + pynutil.delete('"')
+            + pynini.accep(" ")
+            + pynutil.delete('integer: "')
+            + cardinal
+            + pynutil.delete('"')
+        ).optimize()
+
+        graph |= (
+            pynutil.delete('default_cardinal: "default" integer: "')
+            + cardinal
+            + pynutil.delete('"')
+        ).optimize()
+
+        graph |= (
+            pynutil.delete('default_ordinal: "default" integer: "') + ordinal + pynutil.delete('"')
+        ).optimize()
+
+        graph |= (
+            pynutil.delete('key_the_ordinal: "')
+            + pynini.closure(DAMO_NOT_QUOTE, 1)
+            + pynutil.delete('"')
+            + pynini.accep(" ")
+            + pynutil.delete('integer: "')
+            + pynini.closure(pynutil.insert("the "), 0, 1)
+            + ordinal
+            + pynutil.delete('"')
+        ).optimize()
+
+        delete_tokens = self.delete_tokens(graph)
+        self.fst = delete_tokens.optimize()