Remove references to spacy.TransitionBasedParser.{v1,v2}

Since they will not be offered starting with spaCy v4.

.github/azure-steps.yml

@@ -64,7 +64,7 @@ steps:
     displayName: "Run GPU tests"
     condition: eq(${{ parameters.gpu }}, true)
 
-  # Disabled in parser refactor branch, requires spacy.TransitionBasedParser.v2.
+  # Re-enable when we have models trained for spacy.TransitionBasedParser.v3.
   #- script: |
   #     python -m spacy download ca_core_news_sm
   #     python -m spacy download ca_core_news_md
@@ -94,14 +94,14 @@ steps:
     displayName: 'Test train CLI'
     condition: eq(variables['python_version'], '3.8')
 
-  # Disabled in parser refactor branch, requires spacy.TransitionBasedParser.v2.
+  # Re-enable when we have models trained for spacy.TransitionBasedParser.v3.
   # - script: |
   #     python -c "import spacy; config = spacy.util.load_config('ner.cfg'); config['components']['ner'] = {'source': 'ca_core_news_sm'}; config.to_disk('ner_source_sm.cfg')"
   #     PYTHONWARNINGS="error,ignore::DeprecationWarning" python -m spacy assemble ner_source_sm.cfg output_dir
   #   displayName: 'Test assemble CLI'
   #   condition: eq(variables['python_version'], '3.8')
 
-  # Disabled in parser refactor branch, requires spacy.TransitionBasedParser.v2.
+  # Re-enable when we have models trained for spacy.TransitionBasedParser.v3.
   # - script: |
   #     python -c "import spacy; config = spacy.util.load_config('ner.cfg'); config['components']['ner'] = {'source': 'ca_core_news_md'}; config.to_disk('ner_source_md.cfg')"
   #     python -m spacy assemble ner_source_md.cfg output_dir 2>&1 | grep -q W113

spacy/tests/parser/test_parse.py

@@ -459,10 +459,6 @@ def test_overfitting_IO(pipe_name):
 @pytest.mark.parametrize(
     "parser_config",
     [
-        # TransitionBasedParser V1, FIXME: re-enable
-        # ({"@architectures": "spacy.TransitionBasedParser.v1", "tok2vec": DEFAULT_TOK2VEC_MODEL, "state_type": "parser", "extra_state_tokens": False, "hidden_width": 64, "maxout_pieces": 2, "use_upper": True}),
-        # TransitionBasedParser V2, FIXME: re-enable
-        # ({"@architectures": "spacy.TransitionBasedParser.v2", "tok2vec": DEFAULT_TOK2VEC_MODEL, "state_type": "parser", "extra_state_tokens": False, "hidden_width": 64, "maxout_pieces": 2, "use_upper": True}),
         ({"@architectures": "spacy.TransitionBasedParser.v3", "tok2vec": DEFAULT_TOK2VEC_MODEL, "state_type": "parser", "extra_state_tokens": False, "hidden_width": 64, "maxout_pieces": 2}),
     ],
 )

website/docs/api/architectures.md

@@ -602,13 +602,6 @@ consists of either two or three subnetworks:
 | `nO`                 | The number of actions the model will predict between. Usually inferred from data at the beginning of training, or loaded from disk. ~~int~~                       |
 | **CREATES**          | The model using the architecture. ~~Model[List[Docs], List[List[Floats2d]]]~~                                                                                     |
 
-<Accordion title="spacy.TransitionBasedParser.v1 definition" spaced>
-
-[TransitionBasedParser.v1](/api/legacy#TransitionBasedParser_v1) had the exact
-same signature, but the `use_upper` argument was `True` by default.
-
-</Accordion>
-
 ## Tagging architectures {#tagger source="spacy/ml/models/tagger.py"}
 
 ### spacy.Tagger.v2 {#Tagger}

website/docs/api/cli.md

@@ -359,7 +359,7 @@ Module     spacy.language
 File       /path/to/spacy/language.py (line 64)
 ℹ [components.ner.model]
 Registry   @architectures
-Name       spacy.TransitionBasedParser.v1
+Name       spacy.TransitionBasedParser.v3
 Module     spacy.ml.models.parser
 File       /path/to/spacy/ml/models/parser.py (line 11)
 ℹ [components.ner.model.tok2vec]
@@ -369,7 +369,7 @@ Module     spacy.ml.models.tok2vec
 File       /path/to/spacy/ml/models/tok2vec.py (line 16)
 ℹ [components.parser.model]
 Registry   @architectures
-Name       spacy.TransitionBasedParser.v1
+Name       spacy.TransitionBasedParser.v3
 Module     spacy.ml.models.parser
 File       /path/to/spacy/ml/models/parser.py (line 11)
 ℹ [components.parser.model.tok2vec]
@@ -695,7 +695,7 @@ scorer = {"@scorers":"spacy.ner_scorer.v1"}
 update_with_oracle_cut_size = 100
 
 [components.ner.model]
-@architectures = "spacy.TransitionBasedParser.v2"
+@architectures = "spacy.TransitionBasedParser.v3"
 state_type = "ner"
 extra_state_tokens = false
 - hidden_width = 64
@@ -718,7 +718,7 @@ scorer = {"@scorers":"spacy.parser_scorer.v1"}
 update_with_oracle_cut_size = 100
 
 [components.parser.model]
-@architectures = "spacy.TransitionBasedParser.v2"
+@architectures = "spacy.TransitionBasedParser.v3"
 state_type = "parser"
 extra_state_tokens = false
 hidden_width = 128

website/docs/api/legacy.md

@@ -222,12 +222,6 @@ the others, but may not be as accurate, especially if texts are short.
 | `nO`                | Output dimension, determined by the number of different labels. If not set, the [`TextCategorizer`](/api/textcategorizer) component will set it when `initialize` is called. ~~Optional[int]~~ |
 | **CREATES**         | The model using the architecture. ~~Model[List[Doc], Floats2d]~~                                                                                                                               |
 
-### spacy.TransitionBasedParser.v1 {#TransitionBasedParser_v1}
-
-Identical to
-[`spacy.TransitionBasedParser.v2`](/api/architectures#TransitionBasedParser)
-except the `use_upper` was set to `True` by default.
-
 ## Layers {#layers}
 
 These functions are available from `@spacy.registry.layers`.