spaCy/spacy/lang/te/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

58 lines
1.3 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from ...attrs import LIKE_NUM
_num_words = [
"సున్నా",
"శూన్యం",
"ఒకటి",
"రెండు",
"మూడు",
"నాలుగు",
"ఐదు",
"ఆరు",
"ఏడు",
"ఎనిమిది",
"తొమ్మిది",
"పది",
"పదకొండు",
"పన్నెండు",
"పదమూడు",
"పద్నాలుగు",
"పదిహేను",
"పదహారు",
"పదిహేడు",
"పద్దెనిమిది",
"పందొమ్మిది",
"ఇరవై",
"ముప్పై",
"నలభై",
"యాభై",
"అరవై",
"డెబ్బై",
"ఎనభై",
"తొంబై",
"వంద",
"నూరు",
"వెయ్యి",
"లక్ష",
"కోటి",
]
def like_num(text):
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.lower() in _num_words:
return True
return False
LEX_ATTRS = {LIKE_NUM: like_num}