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35 lines
1.2 KiB
35 lines
1.2 KiB
import re
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AVG_MICRO = 'MICRO'
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AVG_MACRO = 'MACRO'
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REGEX_CONSTANTS = {
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# Regex for matching Acronym Patterns -> COVID-19 / SEKA / SMY2 / EAP1 / SCP16 / ASC1 / DENV-2
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# 'ACRONYM': re.compile(r"[m0-9\W^]([A-Z]{2,})[s\.,:\-$]"),
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'ACRONYM': re.compile(r"^[A-Z]{2,}[\.,:;\b\s]|[\s\b]m?[A-Z]{2,}[\.,:;\b\s]"),
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# Regex for matching Years in the text - > 1995 / 2020 / 2019
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'CONTAINS_YEAR': re.compile(r"(?<=[^0-9])1[8-9][0-9]{2}(?=[^0-9$])|(?<=[^0-9])20[0-2][0-9](?=[^0-9$])"),
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# Regex for matching Number Sequences in the text -> (15) / (10, 11, 112, 113) / (1,7,8,10-14)
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'SEQUENCE': re.compile(r"\([\d.*]\)"),
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# Regex for matching References in the text -> [4] / [ 10-17, 19, 20] / [123, 500]
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'REFERENCE': re.compile(r"\[\d.*\]"),
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# Regex for matching percentages in the text -> 99% / 99.99% / 10 % / 23.98% / 10-20% / 25%-30%
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'PERCENTAGE': re.compile(r"\d[\d\.\-]+%"),
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# Regex for matching URLs -> http://www.phrap.org/, http://www. , http://carcfordjournals.
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'CONTAINS_URL': re.compile(r"https?://\S+"),
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'ENDS_WITH_RIDE': re.compile(r"ride\b"),
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'ENDS_WITH_RINE': re.compile(r"rine\b"),
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'ENDS_WITH_ETHYL': re.compile(r"ethyl\b")
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}
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