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	<!--- 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.
		
			
				
	
	
		
			63 lines
		
	
	
		
			1012 B
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			63 lines
		
	
	
		
			1012 B
		
	
	
	
		
			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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    "zero",
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    "un",
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    "dos",
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    "tres",
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    "quatre",
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    "cinc",
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    "sis",
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    "set",
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    "vuit",
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    "nou",
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    "deu",
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    "onze",
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    "dotze",
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    "tretze",
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    "catorze",
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    "quinze",
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    "setze",
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    "disset",
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    "divuit",
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    "dinou",
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    "vint",
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    "trenta",
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    "quaranta",
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    "cinquanta",
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    "seixanta",
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    "setanta",
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    "vuitanta",
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    "noranta",
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    "cent",
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    "mil",
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    "milió",
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    "bilió",
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    "trilió",
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    "quatrilió",
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    "gazilió",
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    "bazilió",
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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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