126 lines
5.1 KiB
Python
126 lines
5.1 KiB
Python
from base import BaseTestCase, Card, Conversation
|
||
from parameterized import parameterized
|
||
|
||
|
||
card = [
|
||
['Thom_Wolf/status/1122466524860702729',
|
||
'pytorch/fairseq',
|
||
'Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - pytorch/fairseq',
|
||
'github.com', True],
|
||
|
||
['nim_lang/status/1136652293510717440',
|
||
'Version 0.20.0 released',
|
||
'We are very proud to announce Nim version 0.20. This is a massive release, both literally and figuratively. It contains more than 1,000 commits and it marks our release candidate for version 1.0!',
|
||
'nim-lang.org', True],
|
||
|
||
['voidtarget/status/1094632512926605312',
|
||
'Basic OBS Studio plugin, written in nim, supporting C++ (C fine too)',
|
||
'Basic OBS Studio plugin, written in nim, supporting C++ (C fine too) - obsplugin.nim',
|
||
'gist.github.com', True],
|
||
|
||
['FluentAI/status/1116417904831029248',
|
||
'Amazon’s Alexa isn’t just AI — thousands of humans are listening',
|
||
'One of the only ways to improve Alexa is to have human beings check it for errors',
|
||
'theverge.com', True]
|
||
]
|
||
|
||
no_thumb = [
|
||
['Bountysource/status/1141879700639215617',
|
||
'Post a bounty on kivy/plyer!',
|
||
'Automation and Screen Reader Support',
|
||
'bountysource.com'],
|
||
|
||
['brent_p/status/1088857328680488961',
|
||
'Hts Nim Sugar',
|
||
'hts-nim is a library that allows one to use htslib via the nim programming language. Nim is a garbage-collected language that compiles to C and often has similar performance. I have become very...',
|
||
'brentp.github.io'],
|
||
|
||
['voidtarget/status/1133028231672582145',
|
||
'sinkingsugar/nimqt-example',
|
||
'A sample of a Qt app written using mostly nim. Contribute to sinkingsugar/nimqt-example development by creating an account on GitHub.',
|
||
'github.com'],
|
||
|
||
['mobile_test/status/490378953744318464',
|
||
'Nantasket Beach',
|
||
'Explore this photo titled Nantasket Beach by Ben Sandofsky (@sandofsky) on 500px',
|
||
'500px.com'],
|
||
|
||
['nim_lang/status/1082989146040340480',
|
||
'Nim in 2018: A short recap',
|
||
'Posted in r/programming by u/miran1',
|
||
'reddit.com'],
|
||
|
||
['lorenlugosch/status/1115440394148487168',
|
||
'Fluent Speech Commands: A dataset for spoken language understanding research',
|
||
'In recent years, with the advent of deep neural networks, the accuracy of speech recognition models have been notably improved which have made possible the production of speech-to-text systems that...',
|
||
'fluent.ai']
|
||
]
|
||
|
||
playable = [
|
||
['nim_lang/status/1118234460904919042',
|
||
'Nim development blog 2019-03',
|
||
'Arne (aka Krux02)* debugging: * improved nim-gdb, $ works, framefilter * alias for --debugger:native: -g* bugs: * forwarding of .pure. * sizeof union* fe...',
|
||
'youtube.com'],
|
||
|
||
['nim_lang/status/1121090879823986688',
|
||
'Nim - First natively compiled language w/ hot code-reloading at...',
|
||
'#nim #c++ #ACCUConfNim is a statically typed systems and applications programming language which offers perhaps some of the most powerful metaprogramming cap...',
|
||
'youtube.com']
|
||
]
|
||
|
||
# promo = [
|
||
# ['BangOlufsen/status/1145698701517754368',
|
||
# 'Upgrade your journey', '',
|
||
# 'www.bang-olufsen.com'],
|
||
|
||
# ['BangOlufsen/status/1154934429900406784',
|
||
# 'Learn more about Beosound Shape', '',
|
||
# 'www.bang-olufsen.com']
|
||
# ]
|
||
|
||
|
||
class CardTest(BaseTestCase):
|
||
@parameterized.expand(card)
|
||
def test_card(self, tweet, title, description, destination, large):
|
||
self.open_nitter(tweet)
|
||
c = Card(Conversation.main + " ")
|
||
self.assert_text(title, c.title)
|
||
self.assert_text(destination, c.destination)
|
||
self.assertIn('_img', self.get_image_url(c.image + ' img'))
|
||
if len(description) > 0:
|
||
self.assert_text(description, c.description)
|
||
if large:
|
||
self.assert_element_visible('.card.large')
|
||
else:
|
||
self.assert_element_not_visible('.card.large')
|
||
|
||
@parameterized.expand(no_thumb)
|
||
def test_card_no_thumb(self, tweet, title, description, destination):
|
||
self.open_nitter(tweet)
|
||
c = Card(Conversation.main + " ")
|
||
self.assert_text(title, c.title)
|
||
self.assert_text(destination, c.destination)
|
||
if len(description) > 0:
|
||
self.assert_text(description, c.description)
|
||
|
||
@parameterized.expand(playable)
|
||
def test_card_playable(self, tweet, title, description, destination):
|
||
self.open_nitter(tweet)
|
||
c = Card(Conversation.main + " ")
|
||
self.assert_text(title, c.title)
|
||
self.assert_text(destination, c.destination)
|
||
self.assertIn('_img', self.get_image_url(c.image + ' img'))
|
||
self.assert_element_visible('.card-overlay')
|
||
if len(description) > 0:
|
||
self.assert_text(description, c.description)
|
||
|
||
# @parameterized.expand(promo)
|
||
# def test_card_promo(self, tweet, title, description, destination):
|
||
# self.open_nitter(tweet)
|
||
# c = Card(Conversation.main + " ")
|
||
# self.assert_text(title, c.title)
|
||
# self.assert_text(destination, c.destination)
|
||
# self.assert_element_visible('.video-overlay')
|
||
# if len(description) > 0:
|
||
# self.assert_text(description, c.description)
|