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eddeb36c96
<!--- Provide a general summary of your changes in the title. --> ## Description - [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files. - [x] Update flake8 config to exclude very large files (lemmatization tables etc.) - [x] Update code to be compatible with flake8 rules - [x] Fix various small bugs, inconsistencies and messy stuff in the language data - [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means) Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results. At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information. ### Types of change enhancement, code style ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from ...attrs import LIKE_NUM
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_num_words = set(
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"""
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nul een één twee drie vier vijf zes zeven acht negen tien elf twaalf dertien
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veertien twintig dertig veertig vijftig zestig zeventig tachtig negentig honderd
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duizend miljoen miljard biljoen biljard triljoen triljard
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""".split()
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)
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_ordinal_words = set(
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"""
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eerste tweede derde vierde vijfde zesde zevende achtste negende tiende elfde
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twaalfde dertiende veertiende twintigste dertigste veertigste vijftigste
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zestigste zeventigste tachtigste negentigste honderdste duizendste miljoenste
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miljardste biljoenste biljardste triljoenste triljardste
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""".split()
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)
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def like_num(text):
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# This only does the most basic check for whether a token is a digit
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# or matches one of the number words. In order to handle numbers like
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# "drieëntwintig", more work is required.
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# See this discussion: https://github.com/explosion/spaCy/pull/1177
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if text.startswith(("+", "-", "±", "~")):
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text = text[1:]
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text = text.replace(",", "").replace(".", "")
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if text.isdigit():
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return True
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if text.count("/") == 1:
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num, denom = text.split("/")
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if num.isdigit() and denom.isdigit():
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return True
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if text.lower() in _num_words:
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return True
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if text.lower() in _ordinal_words:
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return True
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return False
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LEX_ATTRS = {LIKE_NUM: like_num}
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