147 lines
5.9 KiB
Python
147 lines
5.9 KiB
Python
from base import BaseTestCase, Card, Conversation
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from parameterized import parameterized
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card = [
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['PyTorch/status/1123379369672450051',
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'PyTorch',
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'An open source deep learning platform that provides a seamless path from research prototyping to production deployment.',
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'pytorch.org', False],
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['Thom_Wolf/status/1122466524860702729',
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'pytorch/fairseq',
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'Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - pytorch/fairseq',
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'github.com', False],
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['TheTwoffice/status/558685306090946561',
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'Eternity: a moment standing still forever…',
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'- 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...',
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'flickr.com', True],
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['nim_lang/status/1136652293510717440',
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'Version 0.20.0 released',
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'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!',
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'nim-lang.org', True],
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# ['Tesla/status/1141041022035623936',
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# 'Experience the Tesla Arcade',
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# '',
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# 'www.tesla.com', True],
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['voidtarget/status/1094632512926605312',
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'Basic OBS Studio plugin, written in nim, supporting C++ (C fine too)',
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'Basic OBS Studio plugin, written in nim, supporting C++ (C fine too) - obsplugin.nim',
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'gist.github.com', True],
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# ['AdsAPI/status/1110272721005367296',
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# 'Conversation Targeting',
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# '',
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# 'view.highspot.com', True],
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['FluentAI/status/1116417904831029248',
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'Amazon’s Alexa isn’t just AI — thousands of humans are listening',
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'One of the only ways to improve Alexa is to have human beings check it for errors',
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'theverge.com', True]
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]
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no_thumb = [
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['Bountysource/status/1141879700639215617',
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'Post a bounty on kivy/plyer!',
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'Automation and Screen Reader Support',
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'bountysource.com'],
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['brent_p/status/1088857328680488961',
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'Hts Nim Sugar',
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'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...',
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'brentp.github.io'],
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['voidtarget/status/1133028231672582145',
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'sinkingsugar/nimqt-example',
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'A sample of a Qt app written using mostly nim. Contribute to sinkingsugar/nimqt-example development by creating an account on GitHub.',
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'github.com'],
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['mobile_test/status/490378953744318464',
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'Nantasket Beach',
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'Explore this photo titled Nantasket Beach by Ben Sandofsky (@sandofsky) on 500px',
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'500px.com'],
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['nim_lang/status/1082989146040340480',
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'Nim in 2018: A short recap',
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'Posted in r/programming by u/miran1',
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'reddit.com'],
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['lorenlugosch/status/1115440394148487168',
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'Fluent Speech Commands: A dataset for spoken language understanding research',
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'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...',
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'fluent.ai'],
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]
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playable = [
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['nim_lang/status/1118234460904919042',
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'Nim development blog 2019-03',
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'Arne (aka Krux02) * debugging: * improved nim-gdb, $ works, framefilter * alias for --debugger:native: -g * bugs: * forwarding of .pure. * sizeof union * fea...',
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'youtube.com'],
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['nim_lang/status/1121090879823986688',
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'Nim - First natively compiled language w/ hot code-reloading at...',
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'#nim #c++ #ACCUConfNim is a statically typed systems and applications programming language which offers perhaps some of the most powerful metaprogramming capabi...',
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'youtube.com']
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]
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# promo = [
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# ['BangOlufsen/status/1145698701517754368',
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# 'Upgrade your journey', '',
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# 'www.bang-olufsen.com'],
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# ['BangOlufsen/status/1154934429900406784',
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# 'Learn more about Beosound Shape', '',
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# 'www.bang-olufsen.com']
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# ]
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class CardTest(BaseTestCase):
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@parameterized.expand(card)
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def test_card(self, tweet, title, description, destination, large):
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self.open_nitter(tweet)
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c = Card(Conversation.main + " ")
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self.assert_text(title, c.title)
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self.assert_text(destination, c.destination)
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self.assertIn('_img', self.get_image_url(c.image + ' img'))
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if len(description) > 0:
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self.assert_text(description, c.description)
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if large:
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self.assert_element_visible('.card.large')
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else:
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self.assert_element_not_visible('.card.large')
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@parameterized.expand(no_thumb)
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def test_card_no_thumb(self, tweet, title, description, destination):
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self.open_nitter(tweet)
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c = Card(Conversation.main + " ")
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self.assert_text(title, c.title)
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self.assert_text(destination, c.destination)
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if len(description) > 0:
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self.assert_text(description, c.description)
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@parameterized.expand(playable)
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def test_card_playable(self, tweet, title, description, destination):
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self.open_nitter(tweet)
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c = Card(Conversation.main + " ")
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self.assert_text(title, c.title)
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self.assert_text(destination, c.destination)
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self.assertIn('_img', self.get_image_url(c.image + ' img'))
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self.assert_element_visible('.card-overlay')
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if len(description) > 0:
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self.assert_text(description, c.description)
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# @parameterized.expand(promo)
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# def test_card_promo(self, tweet, title, description, destination):
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# self.open_nitter(tweet)
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# c = Card(Conversation.main + " ")
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# self.assert_text(title, c.title)
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# self.assert_text(destination, c.destination)
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# self.assert_element_visible('.video-overlay')
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# if len(description) > 0:
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# self.assert_text(description, c.description)
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