rename valid to invalid

mmeval/metrics/one_minus_norm_edit_distance.py

@@ -27,7 +27,7 @@ class OneMinusNormEditDistance(BaseMetric):
 
             Usually, it only works for English characters. Defaults to
             'unchanged'.
-        valid_symbol (str): A regular expression to filter out invalid or
+        invalid_symbol (str): A regular expression to filter out invalid or
             not cared characters. Defaults to '[^A-Z^a-z^0-9^\u4e00-\u9fa5]'.
         **kwargs: Keyword parameters passed to :class:`BaseMetric`.
 
@@ -43,13 +43,13 @@ class OneMinusNormEditDistance(BaseMetric):
 
     def __init__(self,
                  letter_case: str = 'unchanged',
-                 valid_symbol: str = '[^A-Z^a-z^0-9^\u4e00-\u9fa5]',
+                 invalid_symbol: str = '[^A-Z^a-z^0-9^\u4e00-\u9fa5]',
                  **kwargs):
         super().__init__(**kwargs)
 
         assert letter_case in ['unchanged', 'upper', 'lower']
         self.letter_case = letter_case
-        self.valid_symbol = re.compile(valid_symbol)
+        self.invalid_symbol = re.compile(invalid_symbol)
 
     def add(self, predictions: Sequence[str], labels: Sequence[str]):  # type: ignore # yapf: disable # noqa: E501
         """Process one batch of data and predictions.
@@ -62,8 +62,8 @@ def add(self, predictions: Sequence[str], labels: Sequence[str]):  # type: ignor
             if self.letter_case in ['upper', 'lower']:
                 pred = getattr(pred, self.letter_case)()
                 label = getattr(label, self.letter_case)()
-            label = self.valid_symbol.sub('', label)
-            pred = self.valid_symbol.sub('', pred)
+            label = self.invalid_symbol.sub('', label)
+            pred = self.invalid_symbol.sub('', pred)
             norm_ed = Levenshtein.normalized_distance(pred, label)
             self._results.append(norm_ed)