C2_w2 assignment Unit test outdated?

Course Q&A Natural Language Processing NLP with Probabilistic Models
1

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  • Week 2 assignment

  • Link to the classroom item you are referring to: Part of Speech Tagging | Coursera

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The test case for UNQ C1 seem to be outdated, the function itself is pretty straightforward, the next cell output correctly but the 4 tests keep failing in

w2_unittest.test_create_dictionaries(create_dictionaries, training_corpus, vocab)

error

Wrong output length for transition_counts dictionary.
	 Expected: 1421 
	Got: 136781.
Wrong output values for transition_counts dictionary.
	 Expected: {('VBN', 'TO'): 2142, ('CC', 'IN'): 1227, ('VBN', 'JJR'): 66}.
Wrong output length for transition_counts dictionary.
	 Expected: 272 
	Got: 683.
Wrong output values for transition_counts dictionary.
	 Expected: {('VBN', 'TO'): 3, ('CC', 'IN'): 2, ('VBN', 'JJR'): 1}.
 14  Tests passed
 4  Tests failed

I’m pretty confident that the code is correct. Anyone seeing the same issue?

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Hi @psyquy

Highly unlikely. The probability that your code is incorrect is way higher.
The test indicates that the issue lies intransition_counts. So that would be the best place to look at first.

Cheers

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Hi @psyquy

If the assignment deadline has passed, make sure to push the end dates to get the latest version of files. Also, ensure that you double-check your code for any issues. If you can’t find any, you can send your code via Private Message (Click on Profile → Message) so we can find the problem together and faster!

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5

shared in private msg

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6

yes, i should have trusted the test :), it’s typos in my code.

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