spaCy/spacy/lang/ar/lex_attrs.py
Ines Montani eddeb36c96
💫 Tidy up and auto-format .py files (#2983)
<!--- 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.
2018-11-30 17:03:03 +01:00

100 lines
1.3 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from ...attrs import LIKE_NUM
_num_words = set(
"""
صفر
واحد
إثنان
اثنان
ثلاثة
ثلاثه
أربعة
أربعه
خمسة
خمسه
ستة
سته
سبعة
سبعه
ثمانية
ثمانيه
تسعة
تسعه
ﻋﺸﺮﺓ
ﻋﺸﺮه
عشرون
عشرين
ثلاثون
ثلاثين
اربعون
اربعين
أربعون
أربعين
خمسون
خمسين
ستون
ستين
سبعون
سبعين
ثمانون
ثمانين
تسعون
تسعين
مائتين
مائتان
ثلاثمائة
خمسمائة
سبعمائة
الف
آلاف
ملايين
مليون
مليار
مليارات
""".split()
)
_ordinal_words = set(
"""
اول
أول
حاد
واحد
ثان
ثاني
ثالث
رابع
خامس
سادس
سابع
ثامن
تاسع
عاشر
""".split()
)
def like_num(text):
"""
Check if text resembles a number
"""
if text.startswith(("+", "-", "±", "~")):
text = text[1:]
text = text.replace(",", "").replace(".", "")
if text.isdigit():
return True
if text.count("/") == 1:
num, denom = text.split("/")
if num.isdigit() and denom.isdigit():
return True
if text in _num_words:
return True
if text in _ordinal_words:
return True
return False
LEX_ATTRS = {LIKE_NUM: like_num}