f strings

Author: sdpython

mlinsights/helpers/parameters.py

@@ -12,7 +12,7 @@ def format_value(v):
     @param      v           a string
     @return                 a string
     """
-    return (f'{v.replace("\'", "\\\'")}'
+    return (v.replace("'", "\\'")
             if isinstance(v, str) else f"{v}")
 
 

mlinsights/mlmodel/categories_to_integers.py

@@ -152,8 +152,8 @@ def transform(v, vec):
                         lv = lv[:20]
                         lv.append("...")
                     raise ValueError(  # pragma: no cover
-                        f"Unable to find category value {v!r} type(v)={type(v)} "
-                        f"among\n{'\n'.join(lv)}.")
+                        "Unable to find category value %r type(v)=%r "
+                        "among\n%s" % (v, type(v), '\n'.join(lv)))
                 return numpy.nan
 
             sch, pos, new_vector = self._schema
@@ -184,8 +184,9 @@ def transform(v, vec):
                                 lv = lv[:20]
                                 lv.append("...")
                             raise ValueError(  # pragma: no cover
-                                f"Unable to find category value {k!r}: {v!r} "
-                                f"type(v)={type(v)} among\n{'\n'.join(lv)}.")
+                                "Unable to find category value %r: %r "
+                                "type(v)=%r among\n%s" % (
+                                    k, v, type(v), '\n'.join(lv)))
                     else:
                         p = pos[k] + vec[k][v]
                     res[i, p] = 1.0

mlinsights/mlmodel/ml_featurizer.py

@@ -43,8 +43,8 @@ def model_featurizer(model, **params):
         return model_featurizer_torch(model, **params)
     tried.append("torch")
     raise FeaturizerTypeError(  # pragma no cover
-        f"Unable to process type {type(model)}, allowed:\n"
-        f"{'\n'.join(sorted(str(_) for _ in tried))}.")
+        "Unable to process type %r, allowed:\n%s" % (
+            type(model), '\n'.join(sorted(str(_) for _ in tried))))
 
 
 def is_vector(X):