Merge branch 'master' into pr/6444

azure-pipelines.yml

@@ -2,48 +2,47 @@ trigger:
   batch: true
   branches:
     include:
-    - '*'
+      - "*"
     exclude:
-    - 'spacy.io'
+      - "spacy.io"
   paths:
     exclude:
-    - 'website/*'
+      - "website/*"
-    - '*.md'
+      - "*.md"
 pr:
   paths:
     exclude:
-    - 'website/*'
+      - "website/*"
-    - '*.md'
+      - "*.md"
 
 jobs:
-
+  # Perform basic checks for most important errors (syntax etc.) Uses the config
-# Perform basic checks for most important errors (syntax etc.) Uses the config
+  # defined in .flake8 and overwrites the selected codes.
-# defined in .flake8 and overwrites the selected codes.
+  - job: "Validate"
-- job: 'Validate'
     pool:
-    vmImage: 'ubuntu-16.04'
+      vmImage: "ubuntu-16.04"
     steps:
       - task: UsePythonVersion@0
         inputs:
-      versionSpec: '3.7'
+          versionSpec: "3.7"
       - script: |
           pip install flake8==3.5.0
           python -m flake8 spacy --count --select=E901,E999,F821,F822,F823 --show-source --statistics
-    displayName: 'flake8'
+        displayName: "flake8"
 
-- job: 'Test'
+  - job: "Test"
-  dependsOn: 'Validate'
+    dependsOn: "Validate"
     strategy:
       matrix:
         Python36Linux:
-        imageName: 'ubuntu-16.04'
+          imageName: "ubuntu-16.04"
-        python.version: '3.6'
+          python.version: "3.6"
         Python36Windows:
-        imageName: 'vs2017-win2016'
+          imageName: "vs2017-win2016"
-        python.version: '3.6'
+          python.version: "3.6"
         Python36Mac:
-        imageName: 'macos-10.14'
+          imageName: "macos-10.14"
-        python.version: '3.6'
+          python.version: "3.6"
         # Don't test on 3.7 for now to speed up builds
         # Python37Linux:
         #   imageName: 'ubuntu-16.04'
@@ -55,23 +54,23 @@ jobs:
         #   imageName: 'macos-10.14'
         #   python.version: '3.7'
         Python38Linux:
-        imageName: 'ubuntu-16.04'
+          imageName: "ubuntu-16.04"
-        python.version: '3.8'
+          python.version: "3.8"
         Python38Windows:
-        imageName: 'vs2017-win2016'
+          imageName: "vs2017-win2016"
-        python.version: '3.8'
+          python.version: "3.8"
         Python38Mac:
-        imageName: 'macos-10.14'
+          imageName: "macos-10.14"
-        python.version: '3.8'
+          python.version: "3.8"
         Python39Linux:
-        imageName: 'ubuntu-16.04'
+          imageName: "ubuntu-16.04"
-        python.version: '3.9'
+          python.version: "3.9"
         Python39Windows:
-        imageName: 'vs2017-win2016'
+          imageName: "vs2017-win2016"
-        python.version: '3.9'
+          python.version: "3.9"
         Python39Mac:
-        imageName: 'macos-10.14'
+          imageName: "macos-10.14"
-        python.version: '3.9'
+          python.version: "3.9"
       maxParallel: 4
     pool:
       vmImage: $(imageName)
@@ -79,35 +78,37 @@ jobs:
     steps:
       - task: UsePythonVersion@0
         inputs:
-      versionSpec: '$(python.version)'
+          versionSpec: "$(python.version)"
-      architecture: 'x64'
+          architecture: "x64"
 
       - script: |
           python -m pip install -U pip setuptools
           pip install -r requirements.txt
-    displayName: 'Install dependencies'
+        displayName: "Install dependencies"
+        condition: not(eq(variables['python.version'], '3.5'))
 
       - script: |
           python setup.py build_ext --inplace -j 2
           python setup.py sdist --formats=gztar
-    displayName: 'Compile and build sdist'
+        displayName: "Compile and build sdist"
 
       - task: DeleteFiles@1
         inputs:
-      contents: 'spacy'
+          contents: "spacy"
-    displayName: 'Delete source directory'
+        displayName: "Delete source directory"
 
       - script: |
           pip freeze > installed.txt
           pip uninstall -y -r installed.txt
-    displayName: 'Uninstall all packages'
+        displayName: "Uninstall all packages"
 
       - bash: |
           SDIST=$(python -c "import os;print(os.listdir('./dist')[-1])" 2>&1)
           pip install dist/$SDIST
-    displayName: 'Install from sdist'
+        displayName: "Install from sdist"
+        condition: not(eq(variables['python.version'], '3.5'))
 
       - script: |
           pip install -r requirements.txt
           python -m pytest --pyargs spacy
-    displayName: 'Run tests'
+        displayName: "Run tests"

spacy/language.py

@@ -968,10 +968,6 @@ class Language:
 
         DOCS: https://nightly.spacy.io/api/language#call
         """
-        if len(text) > self.max_length:
-            raise ValueError(
-                Errors.E088.format(length=len(text), max_length=self.max_length)
-            )
         doc = self.make_doc(text)
         if component_cfg is None:
             component_cfg = {}
@@ -1045,6 +1041,11 @@ class Language:
         text (str): The text to process.
         RETURNS (Doc): The processed doc.
         """
+        if len(text) > self.max_length:
+            raise ValueError(
+                Errors.E088.format(length=len(text), max_length=self.max_length)
+            )
+        return self.tokenizer(text)
         return self.tokenizer(text)
 
     def update(

spacy/pipeline/entityruler.py

@@ -261,7 +261,11 @@ class EntityRuler(Pipe):
 
         # disable the nlp components after this one in case they hadn't been initialized / deserialised yet
         try:
-            current_index = self.nlp.pipe_names.index(self.name)
+            current_index = -1
+            for i, (name, pipe) in enumerate(self.nlp.pipeline):
+                if self == pipe:
+                    current_index = i
+                    break
             subsequent_pipes = [
                 pipe for pipe in self.nlp.pipe_names[current_index + 1 :]
             ]

spacy/tests/doc/test_retokenize_merge.py

@@ -416,6 +416,13 @@ def test_doc_retokenizer_merge_lex_attrs(en_vocab):
     assert doc[1].is_stop
     assert not doc[0].is_stop
     assert not doc[1].like_num
+    # Test that norm is only set on tokens
+    doc = Doc(en_vocab, words=["eins", "zwei", "!", "!"])
+    assert doc[0].norm_ == "eins"
+    with doc.retokenize() as retokenizer:
+        retokenizer.merge(doc[0:1], attrs={"norm": "1"})
+    assert doc[0].norm_ == "1"
+    assert en_vocab["eins"].norm_ == "eins"
 
 
 def test_retokenize_skip_duplicates(en_vocab):

spacy/tests/matcher/test_matcher_api.py

@@ -457,6 +457,7 @@ def test_attr_pipeline_checks(en_vocab):
         ([{"IS_LEFT_PUNCT": True}], "``"),
         ([{"IS_RIGHT_PUNCT": True}], "''"),
         ([{"IS_STOP": True}], "the"),
+        ([{"SPACY": True}], "the"),
         ([{"LIKE_NUM": True}], "1"),
         ([{"LIKE_URL": True}], "http://example.com"),
         ([{"LIKE_EMAIL": True}], "mail@example.com"),

spacy/tokens/_retokenize.pyx

@@ -372,8 +372,9 @@ def _split(Doc doc, int token_index, orths, heads, attrs):
                 # Set attributes on both token and lexeme to take care of token
                 # attribute vs. lexical attribute without having to enumerate
                 # them. If an attribute name is not valid, set_struct_attr will
-                # ignore it.
+                # ignore it. Exception: set NORM only on tokens.
                 Token.set_struct_attr(token, attr_name, get_string_id(attr_value))
+                if attr_name != NORM:
                     Lexeme.set_struct_attr(<LexemeC*>token.lex, attr_name, get_string_id(attr_value))
     # Assign correct dependencies to the inner token
     for i, head in enumerate(heads):

spacy/util.py

@@ -1295,6 +1295,13 @@ def combine_score_weights(
 
 
 class DummyTokenizer:
+    def __call__(self, text):
+        raise NotImplementedError
+
+    def pipe(self, texts, **kwargs):
+        for text in texts:
+            yield self(text)
+
     # add dummy methods for to_bytes, from_bytes, to_disk and from_disk to
     # allow serialization (see #1557)
     def to_bytes(self, **kwargs):

website/docs/usage/rule-based-matching.md

@@ -169,6 +169,7 @@ rule-based matching are:
 |  `IS_PUNCT`, `IS_SPACE`, `IS_STOP`              | Token is punctuation, whitespace, stop word. ~~bool~~                                                                                                                                                                                                                                                     |
 |  `IS_SENT_START`                                | Token is start of sentence. ~~bool~~                                                                                                                                                                                                                                                                      |
 |  `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL`           | Token text resembles a number, URL, email. ~~bool~~                                                                                                                                                                                                                                                       |
+| `SPACY`                                         | Token has a trailing space. ~~bool~~                                                                                                                                                                                                                                                                      |
 |  `POS`, `TAG`, `MORPH`, `DEP`, `LEMMA`, `SHAPE` | The token's simple and extended part-of-speech tag, morphological analysis, dependency label, lemma, shape. Note that the values of these attributes are case-sensitive. For a list of available part-of-speech tags and dependency labels, see the [Annotation Specifications](/api/annotation). ~~str~~ |
 | `ENT_TYPE`                                      | The token's entity label. ~~str~~                                                                                                                                                                                                                                                                         |
 | `_` <Tag variant="new">2.1</Tag>                | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). ~~Dict[str, Any]~~                                                                                                                                                                                 |