explosion/spaCy: v3.4.0: Updated types, speed improvements and pipelines for Croatian

✨ New features and improvements Support for mypy 0.950+ and pydantic v1.9 (#10786). Prebuilt linux aarch64 wheels are now available for all spaCy dependencies distributed by @explosion. Min/max {n,m} operator for Matcher patterns (#10981). Language updates: Improve tokenization for Cyrillic combining diacritics (#10837). Improve English tokenizer exceptions for contractions with this/that/these/those (#10873). Improved speed of vector lookups (#10992). For the parser, use C saxpy/sgemm provided by the Ops implementation in order to use Accelerate through thinc-apple-ops (#10773). Improved speed of Example.get_aligned_parse and Example.get_aligned (#10952). Improved speed of StringStore lookups (#10938). Updated spacy project clone to try both main and master branches by default (#10843). Added confidence threshold for named entity linker (#11016). Improved handling of Typer optional default values for init_config_cli (#10788). Added cycle detection in parser projectivization methods (#10877). Added counts for NER labels in debug data (#10960). Support for adding NVTX ranges to TrainablePipe components (#10965). Support env variable SPACY_NUM_BUILD_JOBS to specify the number of build jobs to run in parallel with pip (#11073). Trained pipelines updates We have added new pipelines for Croatian that use the trainable lemmatizer and floret vectors. Package UPOS Parser LAS NER F hr_core_news_sm 96.6 77.5 76.1 hr_core_news_md 97.3 80.1 81.8 hr_core_news_lg 97.5 80.4 83.0 Special thanks to @gtoffoli for help with the new pipelines! The English pipelines have new word vectors: Package Model Version TAG Parser LAS NER F en_core_news_md v3.3.0 97.3 90.1 84.6 en_core_news_md v3.4.0 97.2 90.3 85.5 en_core_news_lg v3.3.0 97.4 90.1 85.3 en_core_news_lg v3.4.0 97.3 90.2 85.6 All CNN pipelines have been extended to add whitespace augmentation. Bug fixes Fix issue #10960: Support hyphens in NER labels. Fix issue #10994: Fix horizontal spacing for spans in displaCy. Fix issue #11013: Check for any token with a vector in Doc.has_vector, distinguish 0-vectors and missing vectors in similarity warnings. Fix issue #11056: Don't use get_array_module in textcat. Fix issue #11092: Fix vertical alignment for spans in displaCy. Notes about upgrading from v3.3 Doc.has_vector now matches Token.has_vector and Span.has_vector: it returns True if at least one token in the doc has a vector rather than checking only whether the vocab contains vectors. Documentation and examples spaCy universe additions: Aim-spacy: An Aim-based spaCy experiment tracker. Asent: Fast, flexible and transparent sentiment analysis. spaCy fishing: Named entity disambiguation and linking on Wikidata in spaCy with Entity-Fishing. spacy-report: Generates interactive reports for spaCy models. Contributors @adrianeboyd, @danieldk, @ericholscher, @gorarakelyan, @honnibal, @ines, @jademlc, @kadarakos, @KennethEnevoldsen, @koaning, @Lucaterre, @maxTarlov, @philipvollet, @pmbaumgartner, @polm, @richardpaulhudson, @rmitsch, @sadovnychyi, @shadeMe, @shen-qin, @single-fingal, @svlandeg, @victorialslocum, @Zacker