refine code of test cases from f_427_ming to f_525_ming

data/raw/f_427_ming.py

@@ -4,6 +4,7 @@
 
 KEYS = ['470FC614', '4A0FC614', '4B9FC614', '4C8FC614', '4D7FC614']
 
+
 def f_427(hex_keys=KEYS, seed=42):
  """
  Given a list of hexadecimal string keys, this function selects one at random,
@@ -21,15 +22,15 @@ def f_427(hex_keys=KEYS, seed=42):
  ValueError: If contains invalid hexadecimal strings.
 
  Requirements:
- - struct: To unpack the hexadecimal string to a floating-point number.
- - hashlib: To compute the MD5 hash of the floating-point number.
- - random: To randomly select a hexadecimal string from the list.
+ - struct
+ - hashlib
+ - random
 
  Example:
  >>> f_427(['1a2b3c4d', '5e6f7g8h'])
  '426614caa490f2c185aebf58f1d4adac'
  """
- 
+
  random.seed(seed)
  hex_key = random.choice(hex_keys)
 
@@ -44,13 +45,15 @@ def f_427(hex_keys=KEYS, seed=42):
 
 import unittest
 
+
 def run_tests():
  suite = unittest.TestSuite()
- suite.addTest(unittest.makeSuite(TestF427))
+ suite.addTest(unittest.makeSuite(TestCases))
  runner = unittest.TextTestRunner()
  runner.run(suite)
 
-class TestF427(unittest.TestCase):
+
+class TestCases(unittest.TestCase):
  def test_case_1(self):
  result = f_427(['1a2b3c4d', '5e6f7g8h'])
  self.assertEqual(result, '426614caa490f2c185aebf58f1d4adac')
@@ -71,8 +74,9 @@ def test_case_5(self):
  # test error message
  with self.assertRaises(ValueError):
  f_427(['1a2b3c4d', '5e6f7g8h', 'invalid_hex'])
-
+
+
 if __name__ == "__main__":
  import doctest
- doctest.testmod()
+ doctest.testmod(verbose=True)
  run_tests()

data/raw/f_428_ming.py

@@ -1,3 +1,4 @@
+import binascii
 import os
 import base64
 

data/raw/f_431_ming.py

@@ -3,7 +3,7 @@
 import os
 
 def f_431(password: str, salt_length: int = 8) -> str:
- '''
+ """
  Encrypt a password using Salt and SHA-256, then encode the result in base64.
 
  Parameters:
@@ -19,8 +19,9 @@ def f_431(password: str, salt_length: int = 8) -> str:
  - os
 
  Example:
- >>> f_431('my_password')
- '''
+ >>> isinstance(f_431('my_password'), str)
+ True
+ """
  # Generate a random salt
  salt = os.urandom(salt_length)
  # Use the salt and the password to create a SHA-256 hash
@@ -73,5 +74,13 @@ def test_empty_password(self):
  encrypted = f_431("")
  self.assertTrue(isinstance(encrypted, str) and len(encrypted) > 0)
 
+def run_tests():
+ suite = unittest.TestSuite()
+ suite.addTest(unittest.makeSuite(TestCases))
+ runner = unittest.TextTestRunner()
+ runner.run(suite)
+
 if __name__ == "__main__":
+ import doctest
+ doctest.testmod()
  run_tests()

data/raw/f_432_ming.py

@@ -52,7 +52,7 @@ class TestCases(unittest.TestCase):
  def test_case_1(self):
  random.seed(1)
  result = f_432()
- self.assertEqual(result, 'eJxzNTH0CgqMMHJxMgkwdAyM8rQwc3IMMffzCHDyCAjy9PQI9HY0CY1wtzRx9YmKMg8wjgQAWN0NxA==')
+ self.assertEqual(result, 'eJwFwUEOhCAMAMAvLVBXONJooGqkUCDa/z/EmR3M0epjNwQ2sSr5P8a+3pkxcyPK9YwwnhRgv1RXdu85F5CJZEvq+t4sVkpD1DBLkmA6kPhRj+6jdcvPyeAPdLQbtg==')
 
  def test_case_2(self):
  random.seed(0)

data/raw/f_433_ming.py

@@ -35,7 +35,7 @@ def f_433(df):
 import unittest
 from io import StringIO
 
-class TestF433(unittest.TestCase):
+class TestCases(unittest.TestCase):
  def test_encode_basic_dataframe(self):
  df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
  encoded_df = f_433(df)
@@ -52,7 +52,7 @@ def test_encode_empty_dataframe(self):
  df = pd.DataFrame({'X': [], 'Y': []})
  encoded_df = f_433(df)
  decoded_csv = pd.read_csv(StringIO(base64.b64decode(encoded_df.encode('utf-8')).decode('utf-8')))
- pd.testing.assert_frame_equal(df, decoded_csv, check_dtype=False)
+ pd.testing.assert_frame_equal(df, decoded_csv, check_dtype=False, check_index_type=False)
 
  def test_encode_with_specific_values(self):
  df = pd.DataFrame({'ID': [101, 102, 103], 'Score': [85, 90, 88]})
@@ -67,5 +67,14 @@ def test_encode_with_string_values(self):
  pd.testing.assert_frame_equal(df, decoded_csv)
 
 
+def run_tests():
+ suite = unittest.TestSuite()
+ suite.addTest(unittest.makeSuite(TestCases))
+ runner = unittest.TextTestRunner()
+ runner.run(suite)
+
+
 if __name__ == "__main__":
- unittest.main()
+ import doctest
+ doctest.testmod()
+ run_tests()

data/raw/f_434_ming.py

@@ -20,11 +20,11 @@ def f_434(list_of_menuitems):
  - pandas
 
  Example:
- >>> f_434([['Pizza', 'Burger'], ['Pizza', 'Coke'], ['Pasta', 'Coke']])
-  Count
- Pizza 2
- Burger 1
- Coke 2
+ >>> result = f_434([['Pizza', 'Burger'], ['Pizza', 'Coke'], ['Pasta', 'Coke']])
+ >>> result.loc['Pizza', 'Count']
+ 2
+ >>> result.loc['Coke', 'Count']
+ 2
  """
  # Flattening the list using list comprehension
  flat_list = [item for sublist in list_of_menuitems for item in sublist]
@@ -76,4 +76,6 @@ def test_case_5(self):
 
 
 if __name__ == "__main__":
+ import doctest
+ doctest.testmod()
  run_tests()

data/raw/f_435_ming.py

@@ -1,6 +1,7 @@
 from collections import Counter
-
 import matplotlib
+# Force matplotlib to use a non-GUI backend to prevent issues in environments without display capabilities
+matplotlib.use('Agg')
 import seaborn as sns
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -15,7 +16,7 @@ def f_435(list_of_menuitems):
  list_of_menuitems (list): A nested list of menu items.
 
  Returns:
- matplotlib.axes.Axes: An Axes object representing the visualization.
+ matplotlib.axes.Axes: An Axes object representing the visualization, or None if there are no items to plot.
 
  Requirements:
  - collections
@@ -28,14 +29,27 @@ def f_435(list_of_menuitems):
  >>> isinstance(ax, matplotlib.axes.Axes)
  True
  """
+ if not list_of_menuitems or not any(list_of_menuitems):
+ print("No items to plot.")
+ return None
+
  # Flatten the nested list into a single list of items
  flat_list = [item for sublist in list_of_menuitems for item in sublist]
+ if not flat_list:
+ print("No items to plot.")
+ return None
+
  # Count the occurrence of each item
  counter = Counter(flat_list)
 
  # Convert the counter to a DataFrame
  df = pd.DataFrame(counter.items(), columns=['Item', 'Count'])
 
+ # Ensure there is data to plot
+ if df.empty:
+ print("No items to plot.")
+ return None
+
  # Create a seaborn barplot
  sns.set(style="whitegrid")
  ax = sns.barplot(x="Count", y="Item", data=df, palette="viridis")
@@ -46,7 +60,7 @@ def f_435(list_of_menuitems):
 
 import unittest
 
-class TestF435(unittest.TestCase):
+class TestCases(unittest.TestCase):
  def setUp(self):
  # Set up any repeated data here
  self.menu_items = [['Pizza', 'Burger'], ['Pizza', 'Coke'], ['Pasta', 'Coke']]
@@ -57,10 +71,9 @@ def test_return_type(self):
  self.assertTrue(isinstance(ax, matplotlib.axes.Axes))
 
  def test_empty_list(self):
- """Test the function with an empty list."""
+ """Test the function with an empty list, expecting None as there's nothing to plot."""
  ax = f_435([])
- self.assertTrue(isinstance(ax, matplotlib.axes.Axes))
- # Additional checks can be added for the properties of `ax` to ensure it's handling empty data gracefully
+ self.assertIsNone(ax)
 
  def test_single_item_list(self):
  """Test the function with a list containing a single menu item."""
@@ -80,7 +93,17 @@ def test_multiple_items_same_count(self):
  self.assertTrue(isinstance(ax, matplotlib.axes.Axes))
  # Verifying that 'Soda' and 'Water' both appear and have the same count could be done here
 
-if __name__ == '__main__':
- unittest.main()
+
+def run_tests():
+ suite = unittest.TestSuite()
+ suite.addTest(unittest.makeSuite(TestCases))
+ runner = unittest.TextTestRunner()
+ runner.run(suite)
+
+
+if __name__ == "__main__":
+ import doctest
+ doctest.testmod()
+ run_tests()