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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.
62 lines
1.1 KiB
Python
62 lines
1.1 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 = [
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"нуль",
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"ноль",
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"бер",
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"ике",
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"өч",
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"дүрт",
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"биш",
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"алты",
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"җиде",
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"сигез",
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"тугыз",
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"ун",
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"унбер",
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"унике",
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"унөч",
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"ундүрт",
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"унбиш",
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"уналты",
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"унҗиде",
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"унсигез",
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"унтугыз",
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"егерме",
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"утыз",
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"кырык",
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"илле",
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"алтмыш",
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"җитмеш",
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"сиксән",
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"туксан",
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"йөз",
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"мең",
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"төмән",
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"миллион",
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"миллиард",
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"триллион",
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"триллиард",
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]
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def like_num(text):
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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 in _num_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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