remove warnings from get_lang_class

spacy/cli/convert.py

@@ -13,6 +13,8 @@ from ..tokens import Doc, DocBin
 from ..training.converters import iob_to_docs, conll_ner_to_docs, json_to_docs
 from ..training.converters import conllu_to_docs
 
+import warnings
+from ..errors import Warnings
 
 # Converters are matched by file extension except for ner/iob, which are
 # matched by file extension and content. To add a converter, add a new
@@ -110,6 +112,14 @@ def convert(
     input_path = Path(input_path)
     if not msg:
         msg = Printer(no_print=silent)
+
+    # Add warnings for renamed language code in v4
+    renamed_lang_codes = {"xx": "mul", "is": "isl"}
+    if lang in renamed_lang_codes:
+        warnings.warn(
+            Warnings.W124.format(lang=lang, renamed_lang=renamed_lang_codes[lang])
+        )
+
     ner_map = srsly.read_json(ner_map) if ner_map is not None else None
     doc_files = []
     for input_loc in walk_directory(input_path, converter):

spacy/errors.py

@@ -215,7 +215,7 @@ class Warnings(metaclass=ErrorsWithCodes):
     W123 = ("Argument {arg} with value {arg_value} is used instead of {config_value} as specified in the config. Be "
             "aware that this might affect other components in your pipeline.")
 # New warnings added in v4.x
-    W124 = ("Language code '{lang}' was not found and replaced with '{renamed_lang}'. Language codes like 'xx' and 'is' were renamed to 'mul' and 'isl' in v4.")
+    W124 = ("Language code '{lang}' was replaced with '{renamed_lang}' in v4.")
 
 
 class Errors(metaclass=ErrorsWithCodes):

spacy/tests/test_language.py

@@ -590,13 +590,8 @@ def test_blank_languages(lang, target):
     Test that we can get spacy.blank in various languages, including codes
     that are defined to be equivalent or that match by CLDR language matching.
     """
-    if lang == "en":
-        nlp = spacy.blank(lang)
-        assert nlp.lang == target
-    else:
-        with pytest.warns(UserWarning):
-            nlp = spacy.blank(lang)
-            assert nlp.lang == target
+    nlp = spacy.blank(lang)
+    assert nlp.lang == target
 
 
 @pytest.mark.parametrize("value", [False, None, ["x", "y"], Language, Vocab])

spacy/util.py

@@ -327,8 +327,6 @@ def get_lang_class(lang: str) -> Type["Language"]:
                 match = None
 
             if match:
-                if match != lang:
-                    warnings.warn(Warnings.W124.format(lang=lang, renamed_lang=match))
                 lang = match
                 module = importlib.import_module(f".lang.{lang}", "spacy")
             else: