Merge pull request #10387 from adrianeboyd/chore/v3.0.8

Set version to v3.0.8

spacy/about.py

@@ -1,6 +1,6 @@
 # fmt: off
 __title__ = "spacy"
-__version__ = "3.0.7"
+__version__ = "3.0.8"
 __download_url__ = "https://github.com/explosion/spacy-models/releases/download"
 __compatibility__ = "https://raw.githubusercontent.com/explosion/spacy-models/master/compatibility.json"
 __projects__ = "https://github.com/explosion/projects"

spacy/tests/conftest.py

@@ -3,7 +3,13 @@ from spacy.util import get_lang_class
 
 
 def pytest_addoption(parser):
-    parser.addoption("--slow", action="store_true", help="include slow tests")
+    try:
+        parser.addoption("--slow", action="store_true", help="include slow tests")
+        parser.addoption("--issue", action="store", help="test specific issues")
+    # Options are already added, e.g. if conftest is copied in a build pipeline
+    # and runs twice
+    except ValueError:
+        pass
 
 
 def pytest_runtest_setup(item):

spacy/tests/training/test_readers.py

@@ -1,6 +1,6 @@
 from typing import Dict, Iterable, Callable
 import pytest
-from thinc.api import Config
+from thinc.api import Config, fix_random_seed
 from spacy import Language
 from spacy.util import load_model_from_config, registry, resolve_dot_names
 from spacy.schemas import ConfigSchemaTraining
@@ -64,8 +64,8 @@ def test_readers():
 @pytest.mark.parametrize(
     "reader,additional_config",
     [
-        ("ml_datasets.imdb_sentiment.v1", {"train_limit": 10, "dev_limit": 2}),
-        ("ml_datasets.dbpedia.v1", {"train_limit": 10, "dev_limit": 2}),
+        ("ml_datasets.imdb_sentiment.v1", {"train_limit": 10, "dev_limit": 10}),
+        ("ml_datasets.dbpedia.v1", {"train_limit": 10, "dev_limit": 10}),
         ("ml_datasets.cmu_movies.v1", {"limit": 10, "freq_cutoff": 200, "split": 0.8}),
     ],
 )
@@ -82,17 +82,18 @@ def test_cat_readers(reader, additional_config):
 
     [nlp]
     lang = "en"
-    pipeline = ["tok2vec", "textcat"]
+    pipeline = ["tok2vec", "textcat_multilabel"]
 
     [components]
 
     [components.tok2vec]
     factory = "tok2vec"
 
-    [components.textcat]
-    factory = "textcat"
+    [components.textcat_multilabel]
+    factory = "textcat_multilabel"
     """
     config = Config().from_str(nlp_config_string)
+    fix_random_seed(config["training"]["seed"])
     config["corpora"]["@readers"] = reader
     config["corpora"].update(additional_config)
     nlp = load_model_from_config(config, auto_fill=True)