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## Description Related issues: #2379 (should be fixed by separating model tests) * **total execution time down from > 300 seconds to under 60 seconds** 🎉 * removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure * changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version) * merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways) * tidied up and rewrote existing tests wherever possible ### Todo - [ ] move tests to `/tests` and adjust CI commands accordingly - [x] move model test suite from internal repo to `spacy-models` - [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~ - [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted - [ ] update documentation on how to run tests ### Types of change enhancement, tests ## 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. - [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
22 lines
1.0 KiB
Python
22 lines
1.0 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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def test_ur_tokenizer_handles_long_text(ur_tokenizer):
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text = """اصل میں رسوا ہونے کی ہمیں
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کچھ عادت سی ہو گئی ہے اس لئے جگ ہنسائی کا ذکر نہیں کرتا،ہوا کچھ یوں کہ عرصہ چھ سال بعد ہمیں بھی خیال آیا
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کہ ایک عدد ٹیلی ویژن ہی کیوں نہ خرید لیں ، سوچا ورلڈ کپ ہی دیکھیں گے۔اپنے پاکستان کے کھلاڑیوں کو دیکھ کر
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ورلڈ کپ دیکھنے کا حوصلہ ہی نہ رہا تو اب یوں ہی ادھر اُدھر کے چینل گھمانے لگ پڑتے ہیں۔"""
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tokens = ur_tokenizer(text)
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assert len(tokens) == 77
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@pytest.mark.parametrize('text,length', [
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("تحریر باسط حبیب", 3),
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("میرا پاکستان", 2)])
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def test_ur_tokenizer_handles_cnts(ur_tokenizer, text, length):
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tokens = ur_tokenizer(text)
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assert len(tokens) == length
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