import nltk
from spacy.en import download as spacy_en_download
import sys

"""
Downloads the necessary data & corpora for nalaf.

Usage: ::

    $ python -m nalaf.download_data

"""
if __name__ == '__main__':

    # Download NLTK models
    NLTK_CORPORA = ['punkt']

    for corpus in NLTK_CORPORA:
        nltk.download(corpus)

    # Download Spacy models
    try:
        spacy_en_download.main(data_size='parser', force=False)
    except Exception:
        import traceback
        traceback.print_exc()

        import os
        import spacy

        model = "en-1.1.0"
        # python -c "import os; import spacy; print(os.path.join(os.path.dirname(spacy.__file__), 'data'))"
        spacy_data_path = os.path.join(os.path.dirname(spacy.__file__), 'data')

        print("ERROR Could not save spacy English parser model. Download model: {} --> and extract it in: {}".format(model, spacy_data_path), file=sys.stderr)

    # TODO download non-packaged [biolemmatizer-core-1.2-jar-with-dependencies.jar](https://github.com/Rostlab/nalaf/blob/develop/nalaf/data/biolemmatizer-core-1.2-jar-with-dependencies.jar)

    # TODO download non-packaged [example_entity_model](https://github.com/Rostlab/nalaf/blob/develop/nalaf/data/example_entity_model)

@@ -226,24 +226,252 @@
 NLTK models%0A
+    try:%0A        _create_unverified_https_context = ssl._create_unverified_context%0A    except AttributeError:%0A        pass%0A    else:%0A        ssl._create_default_https_context = _create_unverified_https_context%0A        %0A        %0A
     NLTK_COR

Update download_data.py