PyPi release v1.2.1

• Updates recommended RKorAPClient version to 1.2.1
• fetchAnnotations() method added to KorAPQuery class, to fetch annotations for all collected matches

PyPi release v1.1.0

• Updates recommended RKorAPClient version to 1.1.0
• fixed bug with fetching result pages with an offset >= 10,000 (=1e+05 ...) issue #25
• timed out corpus queries are no longer cached (see issue #7)
• improved stability of ci function
• improved error handling
• improved logging
• added ETAs to logging in verbose mode

PyPi release v1.0.1

• Fixed error with fetching empty context tokens in fetch… methods

already in v1.0.0

• Simplified authorization process for accessing restricted data via the new auth() function
• Fixed issues with tokenized matches in corpusQuery results
• Fixed smoothing constant in mergeDuplicateCollocates function
• Fixed chainability of fetch methods in corpusQuery

PyPi release v0.8.0

• Updates recommended RKorAPClient version to 0.8.0
• Added textMetadata KorAPConnection method to retrieve all metadata for a text based on its sigle
• Added webUiRequestUrl column also to corpusStats results, so that also virtual corpus definitions can be linked to / tested directly in the KorAP UI
• Uses server side tokenized matches in collocation analysis, if supported by KorAP server
• Unless metadataOnly is set, also tokenized snippets are now retrieved in corpus queries
  (stored in res.slots['collectedMatches']['tokens.left'], res.slots['collectedMatches']['tokens.match'],
  res.slots['collectedMatches']['tokens.right']). Because Pandas data frames cannot store lists, tokens are stored as strings, tab separated.
• Python 3.11 and 3.12 are now supported
• Python 3.7 support has been dropped (by rpy2 dependency)

PyPi release v0.7.5

0.7.5

• Updates recommended RKorAPClient version to 0.7.5
  • fixes collocation scores for lemmatized node or collocate queries
• Automatically converts again between rpy and py objects, most importantly between Pandas and R data frames, also with newer versions of rpy2
  • Fixes "Hello world" example in Readme.md
• Updates references / citation information
• Changes corpusStats to return a pandas.DataFrame by default
• Advertises Python 3.10 as supported
• Adds interactive plot examples using Vega-Altair