Text (a pattern, or a list of them, any of which may match), or ids and text. ids and text are any-of, and either may match; all needs every one and none refuses each. when_unmapped decides an analysis whose record states the feature but maps none of it: exclude (the default), include, or text, matching it by its wording alone, so a criterion without text excludes it.
| Name | Type | Description | Notes |
|---|---|---|---|
| ids | AnalysisQueryStrings | [optional] | |
| text | AnalysisQueryStrings | [optional] | |
| all | AnalysisQueryTerms | [optional] | |
| var_none | AnalysisQueryTerms | [optional] | |
| descendants | bool | Whether an id also matches the terms below it in its vocabulary. | [optional] [default to True] |
| when_unmapped | str | [optional] [default to 'exclude'] | |
| when_silent | AnalysisQueryWhenSilent | [optional] [default to AnalysisQueryWhenSilent.EXCLUDE] |
from neurostore_sdk.models.analysis_query_normalized import AnalysisQueryNormalized
# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisQueryNormalized from a JSON string
analysis_query_normalized_instance = AnalysisQueryNormalized.from_json(json)
# print the JSON string representation of the object
print(AnalysisQueryNormalized.to_json())
# convert the object into a dict
analysis_query_normalized_dict = analysis_query_normalized_instance.to_dict()
# create an instance of AnalysisQueryNormalized from a dict
analysis_query_normalized_from_dict = AnalysisQueryNormalized.from_dict(analysis_query_normalized_dict)