From ee8dcb95192669bac45fb39efe16926b0f1857a8 Mon Sep 17 00:00:00 2001
From: brian <bjuradotorres2@huskers.unl.edu>
Date: Sun, 16 Mar 2025 20:50:06 -0500
Subject: [PATCH] Coverage report and related files finalized
---
test_main.py | 14 +++++++++-----
1 file changed, 9 insertions(+), 5 deletions(-)
diff --git a/test_main.py b/test_main.py
index e57595a..0772244 100644
--- a/test_main.py
+++ b/test_main.py
@@ -3,6 +3,7 @@ import sentiment
from sentiment import get_tokens, score_compute, save_stop_words
import os
+
class TestGetTokens(unittest.TestCase):
# creates file path to sentiment.txt file
@@ -47,8 +48,10 @@ class TestGetTokens(unittest.TestCase):
manual_count = sum(1 for token in self.review_tokens_list if token == target_token)
- self.assertEqual(manual_count, expected_count, f"Expected {expected_count} occurrences of '{target_token}', but got {manual_count}.")
- print(f"""\nTest 2 - Word Frequencies: \nThe training data contains {manual_count} appearances of the token "too".""")
+ self.assertEqual(manual_count, expected_count,
+ f"Expected {expected_count} occurrences of '{target_token}', but got {manual_count}.")
+ print(
+ f"""\nTest 2 - Word Frequencies: \nThe training data contains {manual_count} appearances of the token "too".""")
def test_03_token_statistics(self):
target_token = "too"
@@ -162,7 +165,8 @@ class TestGetTokens(unittest.TestCase):
avg_score = total_score / valid_tokens if valid_tokens > 0 else 0
self.assertAlmostEqual(avg_score, expected_score, places=10, msg="Incorrect average tf-idf score for sentence.")
- print(f'\nTest 7 - Sentence Statistics Score: \nThe sentence "{target_sentence}" has an average tf-idf score of {avg_score}.')
+ print(
+ f'\nTest 7 - Sentence Statistics Score: \nThe sentence "{target_sentence}" has an average tf-idf score of {avg_score}.')
def test_08_save_stop_words(self):
save_stop_words(self.negative_reviews_list, self.neutral_reviews_list, self.positive_reviews_list)
@@ -263,8 +267,8 @@ class TestGetTokens(unittest.TestCase):
self.assertAlmostEqual(avg_score, expected_avg_tfidf, places=5, msg="Incorrect adjusted average tf-idf score.")
- print(f'\nTest 10 - Non-Stop-Words Statistics Score: \nThe sentence "{target_sentence}" has an adjusted average tf-idf score of {avg_score}.')
-
+ print(
+ f'\nTest 10 - Non-Stop-Words Statistics Score: \nThe sentence "{target_sentence}" has an adjusted average tf-idf score of {avg_score}.')
if __name__ == '__main__':
--
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