-
Notifications
You must be signed in to change notification settings - Fork 115
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
1 changed file
with
86 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,86 @@ | ||
| """ | ||
| Unit tests for taggers/*.py | ||
| @kylel | ||
| """ | ||
|
|
||
| from unittest import TestCase | ||
|
|
||
| from dolma.core.data_types import DocResult, Document, Span | ||
| from dolma.taggers import GopherTagger | ||
|
|
||
|
|
||
| class TestGopherTagger(TestCase): | ||
| def test_predict_short(self): | ||
| tagger = GopherTagger() | ||
| doc = Document(source="", version="", id="", text="This is a test.") | ||
| doc_result = tagger.predict(doc=doc) | ||
| d = doc_result.to_json() | ||
| self.assertEqual(len(d["spans"]), 13) | ||
| self.assertEqual(d["spans"][0], {"start": 0, "end": 15, "type": "fraction_of_characters_in_most_common_2grams", "score": 0.5, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][1], {"start": 0, "end": 15, "type": "fraction_of_characters_in_most_common_3grams", "score": 0.5833333333333334, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][2], {"start": 0, "end": 15, "type": "fraction_of_characters_in_most_common_4grams", "score": 1.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][3], {"start": 0, "end": 15, "type": "character_count", "score": 15.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][4], {"start": 0, "end": 15, "type": "word_count", "score": 4.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][5], {"start": 0, "end": 15, "type": "median_word_length", "score": 3.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][6], {"start": 0, "end": 15, "type": "symbol_to_word_ratio", "score": 0.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][7], {"start": 0, "end": 15, "type": "fraction_of_words_with_alpha_character", "score": 1.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][8], {"start": 0, "end": 15, "type": "required_word_count", "score": 0.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][9], {"start": 0, "end": 15, "type": "fraction_of_lines_starting_with_bullet_point", "score": 0.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][10], {"start": 0, "end": 15, "type": "fraction_of_lines_ending_with_ellipsis", "score": 0.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][11], {"start": 0, "end": 15, "type": "fraction_of_duplicate_lines", "score": 0.0, "mention": "This is a test."}) | ||
| self.assertEqual(d["spans"][12], {"start": 0, "end": 15, "type": "fraction_of_characters_in_duplicate_lines", "score": 0.0, "mention": "This is a test."}) | ||
|
|
||
| def test_predict_multiline(self): | ||
| tagger = GopherTagger() | ||
| text = "This is a sentence. \n \n This is another sentence.\n\n This is a third sentence." | ||
| doc = Document(source="", version="", id="", text=text) | ||
| doc_result = tagger.predict(doc=doc) | ||
| d = doc_result.to_json() | ||
| self.assertEqual(len(d['spans']), 19) | ||
| self.assertEqual(d['spans'][0], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_most_common_2grams', 'score': 0.3050847457627119, 'mention': text}) | ||
| self.assertEqual(d['spans'][1], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_most_common_3grams', 'score': 0.23728813559322035, 'mention': text}) | ||
| self.assertEqual(d['spans'][2], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_most_common_4grams', 'score': 0.2711864406779661, 'mention': text}) | ||
| self.assertEqual(d['spans'][3], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_5grams', 'score': 0.0, 'mention': text}) | ||
| self.assertEqual(d['spans'][4], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_6grams', 'score': 0.0, 'mention': text}) | ||
| self.assertEqual(d['spans'][5], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_7grams', 'score': 0.0, 'mention': text}) | ||
| self.assertEqual(d['spans'][6], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_8grams', 'score': 0.0, 'mention': text}) | ||
| self.assertEqual(d['spans'][7], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_9grams', 'score': 0.0, 'mention': text}) | ||
| self.assertEqual(d['spans'][8], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_10grams', 'score': 0.0, 'mention': text}) | ||
| self.assertEqual(d["spans"][9], {"start": 0, "end": 15, "type": "character_count", "score": 79.0, "mention": text}) | ||
| self.assertEqual(d["spans"][10], {"start": 0, "end": 15, "type": "word_count", "score": 13.0, "mention": text}) | ||
| self.assertEqual(d["spans"][11], {"start": 0, "end": 15, "type": "median_word_length", "score": 4.0, "mention": text}) | ||
| self.assertEqual(d["spans"][12], {"start": 0, "end": 15, "type": "symbol_to_word_ratio", "score": 0.0, "mention": text}) | ||
| self.assertEqual(d["spans"][13], {"start": 0, "end": 15, "type": "fraction_of_words_with_alpha_character", "score": 1.0, "mention": text}) | ||
| self.assertEqual(d["spans"][14], {"start": 0, "end": 15, "type": "required_word_count", "score": 0.0, "mention": text}) | ||
| self.assertEqual(d["spans"][15], {"start": 0, "end": 15, "type": "fraction_of_lines_starting_with_bullet_point", "score": 0.0, "mention": text}) | ||
| self.assertEqual(d["spans"][16], {"start": 0, "end": 15, "type": "fraction_of_lines_ending_with_ellipsis", "score": 0.0, "mention": text}) | ||
| self.assertEqual(d["spans"][17], {"start": 0, "end": 15, "type": "fraction_of_duplicate_lines", "score": 0.0, "mention": text}) | ||
| self.assertEqual(d["spans"][18], {"start": 0, "end": 15, "type": "fraction_of_characters_in_duplicate_lines", "score": 0.0, "mention": text}) | ||
|
|
||
| def test_word_count_is_whitespace_sep(self): | ||
| tagger = GopherTagger() | ||
| text = "T h i s \n \n\n\n isoneword !!!" | ||
| doc = Document(source="", version="", id="", text=text) | ||
| doc_result = tagger.predict(doc=doc) | ||
| d = doc_result.to_json() | ||
| self.assertEqual(d['spans'][6]['type'], 'word_count') | ||
| self.assertEqual(d['spans'][6]['score'], 6.0) | ||
|
|
||
| def test_required_word_count(self): | ||
| tagger = GopherTagger() | ||
| text = "The.and.that" | ||
| doc = Document(source="", version="", id="", text=text) | ||
| doc_result = tagger.predict(doc=doc) | ||
| d = doc_result.to_json() | ||
| self.assertEqual(d['spans'][5]['type'], 'required_word_count') | ||
| self.assertEqual(d['spans'][5]['score'], 0.0) | ||
|
|
||
| text = "The and that" | ||
| doc = Document(source="", version="", id="", text=text) | ||
| doc_result = tagger.predict(doc=doc) | ||
| d = doc_result.to_json() | ||
| self.assertEqual(d['spans'][7]['type'], 'required_word_count') | ||
| self.assertEqual(d['spans'][7]['score'], 2.0) |