chore: import upstream snapshot with attribution

fun_text_processing/inverse_text_normalization/ko/utils.py

@@ -0,0 +1,64 @@
+import csv
+import os
+from typing import Union
+
+import inflect
+
+_inflect = inflect.engine()
+
+
+def num_to_word(x: Union[str, int]):
+    """
+    converts integer to spoken representation
+    Args
+        x: integer
+    Returns: spoken representation
+    """
+    if isinstance(x, int):
+        x = str(x)
+        x = _inflect.number_to_words(str(x)).replace("-", " ").replace(",", "")
+    return x
+
+
+def get_abs_path(rel_path):
+    """
+    Get absolute path
+
+    Args:
+        rel_path: relative path to this file
+
+    Returns absolute path
+    """
+    return os.path.dirname(os.path.abspath(__file__)) + "/" + rel_path
+
+
+def load_labels(abs_path):
+    """
+    loads relative path file as dictionary
+
+    Args:
+        abs_path: absolute path
+
+    Returns dictionary of mappings
+    """
+    label_tsv = open(abs_path, encoding="utf-8")
+    labels = list(csv.reader(label_tsv, delimiter="\t"))
+    return labels
+
+
+def augment_labels_with_punct_at_end(labels):
+    """
+    augments labels: if key ends on a punctuation that value does not have, add a new label
+    where the value maintains the punctuation
+
+    Args:
+        labels : input labels
+    Returns:
+        additional labels
+    """
+    res = []
+    for label in labels:
+        if len(label) > 1:
+            if label[0][-1] == "." and label[1][-1] != ".":
+                res.append([label[0], label[1] + "."] + label[2:])
+    return res