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- from base import BaseTestCase, Card, Conversation
- from parameterized import parameterized
- card = [
- ['PyTorch/status/1123379369672450051',
- 'PyTorch',
- 'An open source deep learning platform that provides a seamless path from research prototyping to production deployment.',
- 'pytorch.org', False],
- ['Thom_Wolf/status/1122466524860702729',
- 'pytorch/fairseq',
- 'Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - pytorch/fairseq',
- 'github.com', False],
- ['TheTwoffice/status/558685306090946561',
- 'Eternity: a moment standing still forever…',
- '- James Montgomery. | facebook | 500px | ferpectshotz | I dusted off this one from my old archives, it was taken while I was living in mighty new York city working at Wall St. I think this was the 11...',
- 'flickr.com', False],
- ['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],
- # ['Tesla/status/1141041022035623936',
- # 'Experience the Tesla Arcade',
- # '',
- # 'www.tesla.com', 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],
- # ['AdsAPI/status/1110272721005367296',
- # 'Conversation Targeting',
- # '',
- # 'view.highspot.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 * fea...',
- '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 capabi...',
- '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)
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