Format

spacy/lang/bn/__init__.py

@@ -27,7 +27,7 @@ class Bengali(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return Lemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/el/__init__.py

@@ -32,7 +32,7 @@ class Greek(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return GreekLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/en/__init__.py

@@ -30,7 +30,7 @@ class English(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return EnglishLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/fa/__init__.py

@@ -30,7 +30,7 @@ class Persian(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return Lemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/fr/__init__.py

@@ -35,7 +35,7 @@ class French(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return FrenchLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/mk/__init__.py

@@ -42,7 +42,7 @@ class Macedonian(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return MacedonianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/nb/__init__.py

@@ -30,7 +30,7 @@ class Norwegian(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return Lemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/nl/__init__.py

@@ -31,7 +31,7 @@ class Dutch(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return DutchLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/pl/__init__.py

@@ -37,7 +37,7 @@ class Polish(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return PolishLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/ru/__init__.py

@@ -30,7 +30,7 @@ def make_lemmatizer(
     model: Optional[Model],
     name: str,
     mode: str,
-    overwrite: bool,
+    overwrite: bool = False,
 ):
     return RussianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/sv/__init__.py

@@ -33,7 +33,7 @@ class Swedish(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return Lemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
 

spacy/lang/uk/__init__.py

@@ -27,7 +27,7 @@ class Ukrainian(Language):
     default_score_weights={"lemma_acc": 1.0},
 )
 def make_lemmatizer(
-    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
+    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
 ):
     return UkrainianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)