spacyr v1.2

Added an option for using conda package manager instead of pip in spacy_install() and spacy_upgrade().
(1.21) All character inputs to spacy_parse() and spacy_tokenize() are now coerced to character, which allows them to work directly with quanteda v2 corpus objects (which are based on the character class but with special attributed), without special methods.

spacyr v1.1

Fixed a bug in spacy_parse(x, nounphrase = TRUE) that occurred when no noun phrases were found in the text. (#153)
Fixed a bug in spacy_initialize() (#157). spacy_initialize() ignored Python options supplied by users when a conda environment created through spacy_install() exists.
General stability enhancements to ensure compatibility with spaCy >= 2.1

Added new commands spacy_tokenize(), spacy_extract_entity(), spacy_extract_nounphrases(), nounphrase_extract(), and nounphrase_consolidate() for direct extraction of entities, noun phrases, and tokens, and extraction of noun phrases from spacyr parsed tests.
Added a new argument additional_attributes to spacy_parse() allowing the return of any tokens-level attribute available from https://spacy.io/api/token#attributes.
Added a vignette and significantly improved the documentation site https://spacyr.quanteda.io.

Added spacy_install(), spacy_install_virtualenv(), and spacy_upgrade() to make installing or upgrading spaCy (and Python itself) easy and automatic.
Added support for multithreading in spacy_parse() via the multithreading argument. This uses the “pipes” functionality in spaCy for improved performance.

Updated for the newer spaCy 2.0 release and new language models.
Add ask = FALSE to spacy_initialize(), to find spaCy installations automatically.

Fixed a bug caused by zero-token “sentences” in spacy_parse(), by changing 1:length() to seq_along().

Fixed a bug causing non-ASCII characters to be dropped when using Python 2.7.x (#58).
Fixed issue with automatic detection of python3 when both python and python3 exist, but only python3 has spaCy installed (#62).