update blis (#6198)

* allow higher blis version

* fix typo

* bump to 3.0.0a34

* fix pins in other files

pyproject.toml

@@ -7,7 +7,7 @@ requires = [
     "preshed>=3.0.2,<3.1.0",
     "murmurhash>=0.28.0,<1.1.0",
     "thinc>=8.0.0a43,<8.0.0a50",
-    "blis>=0.4.0,<0.5.0",
+    "blis>=0.4.0,<0.8.0",
     "pytokenizations",
     "pathy"
 ]

requirements.txt

@@ -2,7 +2,7 @@
 cymem>=2.0.2,<2.1.0
 preshed>=3.0.2,<3.1.0
 thinc>=8.0.0a43,<8.0.0a50
-blis>=0.4.0,<0.5.0
+blis>=0.4.0,<0.8.0
 ml_datasets==0.2.0a0
 murmurhash>=0.28.0,<1.1.0
 wasabi>=0.8.0,<1.1.0

setup.cfg

@@ -41,7 +41,7 @@ install_requires =
     cymem>=2.0.2,<2.1.0
     preshed>=3.0.2,<3.1.0
     thinc>=8.0.0a43,<8.0.0a50
-    blis>=0.4.0,<0.5.0
+    blis>=0.4.0,<0.8.0
     wasabi>=0.8.0,<1.1.0
     srsly>=2.3.0,<3.0.0
     catalogue>=2.0.1,<2.1.0

spacy/about.py

@@ -1,6 +1,6 @@
 # fmt: off
 __title__ = "spacy-nightly"
-__version__ = "3.0.0a33"
+__version__ = "3.0.0a34"
 __release__ = True
 __download_url__ = "https://github.com/explosion/spacy-models/releases/download"
 __compatibility__ = "https://raw.githubusercontent.com/explosion/spacy-models/master/compatibility.json"

spacy/pipeline/morphologizer.pyx

@@ -210,7 +210,7 @@ class Morphologizer(Tagger):
 
         examples (Iterable[Examples]): The batch of examples.
         scores: Scores representing the model's predictions.
-        RETUTNRS (Tuple[float, float]): The loss and the gradient.
+        RETURNS (Tuple[float, float]): The loss and the gradient.
 
         DOCS: https://nightly.spacy.io/api/morphologizer#get_loss
         """

spacy/pipeline/pipe.pyx

@@ -162,7 +162,7 @@ cdef class Pipe:
 
         examples (Iterable[Examples]): The batch of examples.
         scores: Scores representing the model's predictions.
-        RETUTNRS (Tuple[float, float]): The loss and the gradient.
+        RETURNS (Tuple[float, float]): The loss and the gradient.
 
         DOCS: https://nightly.spacy.io/api/pipe#get_loss
         """

spacy/pipeline/senter.pyx

@@ -104,7 +104,7 @@ class SentenceRecognizer(Tagger):
 
         examples (Iterable[Examples]): The batch of examples.
         scores: Scores representing the model's predictions.
-        RETUTNRS (Tuple[float, float]): The loss and the gradient.
+        RETURNS (Tuple[float, float]): The loss and the gradient.
 
         DOCS: https://nightly.spacy.io/api/sentencerecognizer#get_loss
         """

spacy/pipeline/tagger.pyx

@@ -249,7 +249,7 @@ class Tagger(Pipe):
 
         examples (Iterable[Examples]): The batch of examples.
         scores: Scores representing the model's predictions.
-        RETUTNRS (Tuple[float, float]): The loss and the gradient.
+        RETURNS (Tuple[float, float]): The loss and the gradient.
 
         DOCS: https://nightly.spacy.io/api/tagger#get_loss
         """

spacy/pipeline/textcat.py

@@ -281,7 +281,7 @@ class TextCategorizer(Pipe):
 
         examples (Iterable[Examples]): The batch of examples.
         scores: Scores representing the model's predictions.
-        RETUTNRS (Tuple[float, float]): The loss and the gradient.
+        RETURNS (Tuple[float, float]): The loss and the gradient.
 
         DOCS: https://nightly.spacy.io/api/textcategorizer#get_loss
         """