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 +1,92 @@
+import os
+from time import perf_counter
+from argparse import ArgumentParser
+from fun_text_processing.text_normalization.en.graph_utils import generator_main
+
+
+def parse_args():
+    parser = ArgumentParser()
+
+    parser.add_argument(
+        "--language",
+        help="language",
+        choices=["de", "en", "es", "ru", "zh"],
+        default="en",
+        type=str,
+    )
+    parser.add_argument(
+        "--input_case",
+        help="input capitalization",
+        choices=["lower_cased", "cased"],
+        default="cased",
+        type=str,
+    )
+    parser.add_argument(
+        "--export_dir",
+        help="path to export directory. Default to current directory.",
+        default="./",
+        type=str,
+    )
+    return parser.parse_args()
+
+
+def get_grammars(lang: str = "en", input_case: str = "cased"):
+    if lang == "de":
+        from fun_text_processing.text_normalization.de.taggers.tokenize_and_classify import (
+            ClassifyFst,
+        )
+        from fun_text_processing.text_normalization.de.verbalizers.verbalize_final import (
+            VerbalizeFinalFst,
+        )
+    elif lang == "en":
+        from fun_text_processing.text_normalization.en.taggers.tokenize_and_classify import (
+            ClassifyFst,
+        )
+        from fun_text_processing.text_normalization.en.verbalizers.verbalize_final import (
+            VerbalizeFinalFst,
+        )
+    elif lang == "es":
+        from fun_text_processing.text_normalization.es.taggers.tokenize_and_classify import (
+            ClassifyFst,
+        )
+        from fun_text_processing.text_normalization.es.verbalizers.verbalize_final import (
+            VerbalizeFinalFst,
+        )
+    elif lang == "ru":
+        from fun_text_processing.text_normalization.ru.taggers.tokenize_and_classify import (
+            ClassifyFst,
+        )
+        from fun_text_processing.text_normalization.ru.verbalizers.verbalize_final import (
+            VerbalizeFinalFst,
+        )
+    elif lang == "zh":
+        from fun_text_processing.text_normalization.zh.taggers.tokenize_and_classify import (
+            ClassifyFst,
+        )
+        from fun_text_processing.text_normalization.zh.verbalizers.verbalize_final import (
+            VerbalizeFinalFst,
+        )
+    else:
+        from fun_text_processing.text_normalization.en.taggers.tokenize_and_classify import (
+            ClassifyFst,
+        )
+        from fun_text_processing.text_normalization.en.verbalizers.verbalize_final import (
+            VerbalizeFinalFst,
+        )
+
+    return ClassifyFst(input_case=input_case).fst, VerbalizeFinalFst().fst
+
+
+if __name__ == "__main__":
+    args = parse_args()
+
+    export_dir = args.export_dir
+    os.makedirs(export_dir, exist_ok=True)
+    tagger_far_file = os.path.join(export_dir, args.language + "_tn_tagger.far")
+    verbalizer_far_file = os.path.join(export_dir, args.language + "_tn_verbalizer.far")
+
+    start_time = perf_counter()
+    tagger_fst, verbalizer_fst = get_grammars(args.language, args.input_case)
+    generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst})
+    generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst})
+    print(f"Time to generate graph: {round(perf_counter() - start_time, 2)} sec")