stanza 1.6.0 failing IT on linux

[Richard Jackson]

...although passing on Mac.

kazu/utils/stanza_pipeline.py:19: in simple_stanza_init
    stanza_pipeline = stanza.Pipeline(
/tmp/kazu-env/lib/python3.9/site-packages/stanza/pipeline/core.py:235: in __init__
    self.load_list = maintain_processor_list(resources, lang, package, processors, maybe_add_mwt=(not kwargs.get("tokenize_pretokenized")))
/tmp/kazu-env/lib/python3.9/site-packages/stanza/resources/common.py:208: in maintain_processor_list
    add_mwt(processors, resources, lang)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

processors = {'tokenize': 'genia'}
resources = {'af': {'backward_charlm': {'oscar': {'md5': 'af65d719157609173ed04bd6208fc2ae'}}, 'default_dependencies': {'depparse'...b4d7ab922', 'default_processors': {'depparse': 'padt', 'lemma': 'padt', 'mwt': 'padt', 'ner': 'aqmar', ...}, ...}, ...}
lang = 'en'

    def add_mwt(processors, resources, lang):
        """Add mwt if tokenize is passed without mwt.
    
        If tokenize is in the list, but mwt is not, and there is a corresponding
        tokenize and mwt pair in the resources file, mwt is added so no missing
        mwt errors are raised.
    
        TODO: how does this handle EWT in English?
        """
        value = processors[TOKENIZE]
>       if value in resources[lang][PACKAGES] and MWT in resources[lang][PACKAGES][value]:
E       KeyError: 'packages'

/tmp/kazu-env/lib/python3.9/site-packages/stanza/resources/common.py:184: KeyError

The above exception was the direct cause of the following exception:

kazu_test_config = {'ray': {'init': {'_target_': 'ray.init', 'address': None, 'namespace': 'serve', 'num_cpus': None, 'object_store_memor.../github/runner/kazu/kazu/temp_model_pack_test_dir_16816/kazu_model_pack_public/ontologies/global_parser_actions.json'}}

    @requires_model_pack
    def test_equivalent_to_explosion_for_simple_sents(kazu_test_config):
>       st_step: Step = instantiate(kazu_test_config.StanzaStep)

kazu/tests/test_sentence_segmentation.py:53: