import random import sys from pathlib import Path import numpy as np import subprocess import importlib import codewars_test import pandas as pd # Update paths and filename path_answer = "/content/" # changed filename = "answer_chapter3_experiments4.py" # changed # Import the answer module pc = importlib.import_module(filename[:-3], ".") cmd = subprocess.run([sys.executable, f"{path_answer}{filename}"], capture_output=True) # changed @codewars_test.describe("Chapter 3 | Experiments 4") def fixed_tests(): @codewars_test.it("1. Test Loading Data") def test_load_data(): print("========================================================================") # Assuming expected columns are "Customer ID", "Age" and "Total Spent (USD)" expected_columns = ["Customer ID", "Age", "Total Spent (USD)"] try: codewars_test.assert_equals(list(pc.data_load().columns), expected_columns, "====> The provided dataset URL is incorrect; columns in the dataset differ") # Error message translated except Exception as e: codewars_test.fail(f"====> Error loading data; There's a typo in the code: {str(e)}") # Error message translated expected_rows = 50 try: codewars_test.assert_equals(len(pc.data_load()), expected_rows, "====> The provided dataset URL is incorrect; columns in the dataset differ") # Error message translated except Exception as e: codewars_test.fail(f"====> Error checking row count; There's a typo in the code: {str(e)}") # Error message translated print("") @codewars_test.it("2. Test Show First Five Rows") def test_show_first_five_rows(): # Call the function and capture the output print("========================================================================") try: actual_output = pc.head_rows().shape[0] # Get the number of rows expected_rows = 5 # Assert that the expected output matches the actual output codewars_test.assert_equals(actual_output, expected_rows, "Output from head_rows() is incorrect; It should display 5 rows of data; Your output") # Validation message translated except Exception as e: codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}") # Error message translated print("") @codewars_test.it("3. Test Calculate Descriptive Statistics for Customer Age") def test_age_descriptive_stats(): print("========================================================================") # Assert few basic statistics on age expected_mean = 34.54 expected_std = 13.069999921927455 expected_median = 33.5 expected_skew = 0.2325824223215271 try: codewars_test.assert_equals(pc.data_load()["Age"].mean(), expected_mean, "Age mean should be positive") # Validation message translated codewars_test.assert_equals(pc.data_load()["Age"].std(), expected_std, "Age standard deviation should be positive") # Validation message translated codewars_test.assert_equals(pc.data_load()["Age"].median(), expected_median, "Age mean should be positive") # Validation message translated codewars_test.assert_equals(pc.data_load()["Age"].skew(), expected_skew, "Age standard deviation should be positive") # Validation message translated quartile = pc.data_load()["Age"].quantile([0.25, 0.5, 0.75]) codewars_test.assert_equals(type(quartile), pd.Series, "Quartiles should be a pandas Series") # Validation message translated except Exception as e: codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}") # Error message translated print("") @codewars_test.it("4. Test Quartiles' Value (Age)") def test_quartile_values(): print("========================================================================") # Assuming quartiles are for "Age" (adjust expected values as needed) try: expected_quartiles = np.array([22.25, 33.50, 45.00]) # Adjust these based on your data tolerance = 5 # Adjust tolerance for approximate value comparison calculated_quartiles = pc.data_load()["Age"].quantile([0.25, 0.5, 0.75]) codewars_test.assert_equals(np.allclose(calculated_quartiles, expected_quartiles, atol=tolerance), True, "Quartiles should be close to expected values") except Exception as e: codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}") # Error message translated print("") @codewars_test.it("5. Test Descriptive Statistics for Total Spent (USD)") def test_total_spent_descriptive_stats(): print("========================================================================") # Assert few basic statistics on total spent expected_mean = 114.0 expected_std = 52.45989721993868 expected_median = 110.0 expected_skew = 0.19622312582543433 try: codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].mean(), expected_mean, "Total Spent mean should be positive") codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].std(), expected_std, "Total Spent standard deviation should be positive") codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].median(), expected_median, "Total Spent median should be positive") codewars_test.assert_equals(pc.data_load()["Total Spent (USD)"].skew(), expected_skew, "Total Spent skewness should be positive") quartile = pc.data_load()["Total Spent (USD)"].quantile([0.25, 0.5, 0.75]) codewars_test.assert_equals(type(quartile), pd.Series, "Quartiles should be a pandas Series") except Exception as e: codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}") # Error message translated print("") @codewars_test.it("6. Test Quartiles' Value (Total Spent (USD))") def test_quartile_values(): print("========================================================================") # Assuming quartiles are for "Age" (adjust expected values as needed) expected_quartiles = np.array([71.25, 110.00, 153.75]) # Adjust these based on your data tolerance = 5 # Adjust tolerance for approximate value comparison try: calculated_quartiles = pc.data_load()["Total Spent (USD)"].quantile([0.25, 0.5, 0.75]) codewars_test.assert_equals(np.allclose(calculated_quartiles, expected_quartiles, atol=tolerance), True, "Quartiles should be close to expected values") except Exception as e: codewars_test.fail(f"====> Error in head_rows(); There's a typo in the function code: {str(e)}") # Error message translated print("") @codewars_test.it("7. calculates correlation coefficient") def test_correlation(): print("========================================================================") # Assert correlation coefficient is a number try: corr_ = pc.correlation() codewars_test.assert_equals(isinstance(corr_, float), True, ">>>> Error in function correlation(); Variable 'correlation' is not defined; Check variable name") # Error message translated except Exception as e: codewars_test.fail(f"====> Error in correlation(); There's a typo in the function code: {str(e)}") # Error message translated except NameError as e: codewars_test.fail(f"====> Error in correlation(); There's a typo in the function code: {str(e)}") # Error message translated print("")