mirror of
https://github.com/searxng/searxng
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52 lines
1.1 KiB
Python
52 lines
1.1 KiB
Python
from functools import reduce
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from operator import mul
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from flask_babel import gettext
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keywords = ('min',
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'max',
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'avg',
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'sum',
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'prod')
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# required answerer function
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# can return a list of results (any result type) for a given query
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def answer(query):
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parts = query.query.split()
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if len(parts) < 2:
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return []
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try:
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args = map(float, parts[1:])
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except:
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return []
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func = parts[0]
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answer = None
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if func == 'min':
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answer = min(args)
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elif func == 'max':
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answer = max(args)
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elif func == 'avg':
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answer = sum(args) / len(args)
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elif func == 'sum':
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answer = sum(args)
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elif func == 'prod':
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answer = reduce(mul, args, 1)
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if answer is None:
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return []
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return [{'answer': unicode(answer)}]
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# required answerer function
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# returns information about the answerer
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def self_info():
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return {'name': gettext('Statistics functions'),
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'description': gettext('Compute {functions} of the arguments').format(functions='/'.join(keywords)),
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'examples': ['avg 123 548 2.04 24.2']}
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