update: add data pack

Author: terryyz

data/clean/f_243_indraneil.py

@@ -57,7 +57,7 @@ class TestCases(unittest.TestCase):
 
     def setUp(self):
         # Set up the test file path
-        self.temp_dir = tempfile.gettempdir()
+        self.temp_dir = tempfile.mkdtemp()
         self.test_file_path = f"{self.temp_dir}/test_log.json"
 
     def tearDown(self):

data/clean/f_245_indraneil.py

@@ -61,6 +61,7 @@ def f_1238(obj_list, attr, num_bins=30, seed=0):
 class TestCases(unittest.TestCase):
     def test_case_1(self):
         # Input 1: Simple list of objects with integer values from 0 to 9
+        random.seed(1)
         obj_list = [Object(value=i) for i in range(10)]
         ax = f_1238(obj_list, 'value')
 
@@ -73,6 +74,7 @@ def test_case_1(self):
 
     def test_case_2(self):
         # Input 2: List of objects with random Gaussian values
+        random.seed(2)
         obj_list = [Object() for _ in range(100)]
         ax = f_1238(obj_list, 'value', seed=77)
 
@@ -83,10 +85,11 @@ def test_case_2(self):
         self.assertEqual(ax.get_ylabel(), 'Count', "Y-axis label is incorrect.")
         self.assertEqual(sum([p.get_height() for p in ax.patches]), len(obj_list), "Histogram data points do not match input list size.")
         # Check axis data
-        self.assertAlmostEqual(ax.get_xlim()[0], -2.57, delta=0.1, msg="X-axis lower limit is incorrect.")
+        self.assertAlmostEqual(ax.get_xlim()[0], -3.933336166652307, delta=0.1, msg="X-axis lower limit is incorrect.")
 
     def test_case_3(self):
         # Input 3: List of objects with fixed value
+        random.seed(3)
         obj_list = [Object(value=5) for _ in range(50)]
         ax = f_1238(obj_list, 'value', seed=4)
 
@@ -116,6 +119,7 @@ def test_case_4(self):
 
     def test_case_5(self):
         # Input 5: Large list of objects
+        random.seed(5)
         obj_list = [Object(value=random.gauss(0, 5)) for _ in range(1000)]
         ax = f_1238(obj_list, 'value')
 

data/clean/f_247_indraneil.py

@@ -28,7 +28,7 @@ def f_247(data, save_plot=False, plot_path=None):
 
     Example:
     >>> import tempfile
-    >>> temp_dir = tempfile.gettempdir()
+    >>> temp_dir = tempfile.mkdtemp()
     >>> f_247([('A', 1, 1, 1), ('B', 2, 2, 2)], save_plot=True, plot_path=f"{temp_dir}/temp_plot.png")[0]
     array([[ 8.66025404e-01,  4.09680598e-17],
            [-8.66025404e-01,  4.09680598e-17]])

data/clean/f_2695_junda_james.py

@@ -66,13 +66,14 @@ class TestCases(unittest.TestCase):
     def setUp(self):
         # Create a dummy image for testing
         np.random.seed(42)
-        self.dummy_img_path = os.path.join(tempfile.gettempdir(), 'test_image.jpg')
+        self.dummy_img_path = os.path.join(tempfile.mkdtemp(), 'test_image.jpg')
         dummy_img = np.random.randint(0, 255, (20, 20, 3), dtype=np.uint8)
         cv2.imwrite(self.dummy_img_path, dummy_img)
 
     def tearDown(self):
         # Cleanup the dummy image
-        os.remove(self.dummy_img_path)
+        if os.path.exists(self.dummy_img_path):
+            os.remove(self.dummy_img_path)
 
     def test_valid_input(self):
         def dummy_onpick(event):

data/clean/f_271_indraneil.py

@@ -76,11 +76,10 @@ def setup_test_directory():
 class TestCases(unittest.TestCase):
     def setUp(self):
         setup_test_directory()
-        super().setUp()
 
     def tearDown(self):
-        shutil.rmtree(TEST_DIR_PATH)
-        super().tearDown()
+        if os.path.exists(TEST_DIR_PATH):
+            shutil.rmtree(TEST_DIR_PATH)
 
     def test_case_1(self):
         # Test with 5 JSON files containing various keys

data/clean/f_2724_hanhu.py

@@ -5,15 +5,15 @@
 def f_2726(X, y, n_splits, batch_size, epochs):
     """
     Trains a simple neural network on provided data using k-fold cross-validation.
-    The network has one hidden layer with 50 neurons and ReLU activation, and
+    The network has one hidden layer with 20 neurons and ReLU activation, and
     an output layer with sigmoid activation for binary classification.
 
     Parameters:
         X (numpy.array): The input data.
         y (numpy.array): The target data.
         n_splits (int): The number of splits for k-fold cross-validation. Default is 5.
         batch_size (int): The size of the batch used during training. Default is 32.
-        epochs (int): The number of epochs for training the model. Default is 10.
+        epochs (int): The number of epochs for training the model. Default is 1.
 
     Returns:
         list: A list containing the training history of the model for each fold. Each history
@@ -47,7 +47,7 @@ def f_2726(X, y, n_splits, batch_size, epochs):
         y_train, y_test = y[train_index], y[test_index]
 
         model = tf.keras.models.Sequential([
-            tf.keras.layers.Dense(50, activation='relu'),
+            tf.keras.layers.Dense(20, activation='relu'),
             tf.keras.layers.Dense(1, activation='sigmoid')
         ])
 
@@ -70,7 +70,7 @@ def setUp(self):
         self.y = np.random.randint(0, 2, 100)
         self.n_splits = 5
         self.batch_size = 32
-        self.epochs = 10
+        self.epochs = 1
 
     def test_return_type(self):
         """Test that the function returns a list."""
@@ -101,9 +101,9 @@ def test_effect_of_different_batch_sizes(self):
 
     def test_effect_of_different_epochs(self):
         """Test function behavior with different epochs."""
-        for epochs in [5, 20]:
-            result = f_2726(self.X, self.y, self.n_splits, self.batch_size, epochs)
-            self.assertEqual(len(result), self.n_splits)  # Validating function execution
+        epochs=5
+        result = f_2726(self.X, self.y, self.n_splits, self.batch_size, epochs)
+        self.assertEqual(len(result), self.n_splits)  # Validating function execution
 
 
 def run_tests():

data/clean/f_288_indraneil.py

@@ -52,12 +52,11 @@ def setUp(self) -> None:
         self.temp_dir = f"{self.base_tmp_dir}/test"
         if not os.path.exists(self.temp_dir):
             os.mkdir(self.temp_dir)
-        return super().setUp()
-    
+
     def tearDown(self) -> None:
-        shutil.rmtree(self.base_tmp_dir)
-        return super().tearDown()
-    
+        if os.path.exists(self.base_tmp_dir):
+            shutil.rmtree(self.base_tmp_dir)
+
     def test_case_1(self):
         # Test with the first sample directory
         input_text = {

data/clean/f_289_indraneil.py

@@ -23,7 +23,7 @@ def f_289(file_path, regex_pattern=r'\(.+?\)|\w+|[\W_]+'):
     
     Example:
     >>> import tempfile
-    >>> temp_dir = tempfile.gettempdir()
+    >>> temp_dir = tempfile.mkdtemp()
     >>> file_path = os.path.join(temp_dir, 'data.csv')
     >>> with open(file_path, 'w', newline='') as file:
     ...     writer = csv.writer(file)
@@ -52,7 +52,7 @@ def f_289(file_path, regex_pattern=r'\(.+?\)|\w+|[\W_]+'):
 
 
 class TestCases(unittest.TestCase):
-    base_tmp_dir = tempfile.gettempdir()
+    base_tmp_dir = tempfile.mkdtemp()
     test_data_dir = f"{base_tmp_dir}/test"
 
     def setUp(self):

data/clean/f_290_indraneil.py

@@ -22,7 +22,7 @@ def f_290(file_path: str, regex_pattern=r'\(.+?\)|\w') -> dict:
     
     Example:
     >>> import tempfile
-    >>> temp_dir = tempfile.gettempdir()
+    >>> temp_dir = tempfile.mkdtemp()
     >>> file_path = os.path.join(temp_dir, 'sample_data.json')
     >>> with open(file_path, 'w') as file:
     ...     json.dump({'content': 'This is a (sample) text with some (matches) and characters.'}, file)

data/clean/f_294_indraneil.py

@@ -54,7 +54,7 @@ class TestCases(unittest.TestCase):
 
     def setUp(self):
         self.extensions = ['*.txt', '*.md', '*.csv']
-        self.base_tmp_dir = tempfile.gettempdir()
+        self.base_tmp_dir = tempfile.mkdtemp()
         self.test_directory = f"{self.base_tmp_dir}/test/"
         os.makedirs(self.test_directory, exist_ok=True)
 
@@ -70,17 +70,15 @@ def setUp(self):
         # Write the sample data to files
         for filename, content in sample_files_data.items():
             with (
-                open(os.path.join(self.test_directory, filename), 'w')
-                if os.path.exists(os.path.join(self.test_directory, filename))
-                else open(os.path.join(self.test_directory, filename), 'x')
+                    open(os.path.join(self.test_directory, filename), 'w')
+                    if os.path.exists(os.path.join(self.test_directory, filename))
+                    else open(os.path.join(self.test_directory, filename), 'x')
             ) as file:
                 file.write(content)
-        return super().setUp()
 
     def tearDown(self):
         if os.path.exists(self.test_directory):
             shutil.rmtree(self.test_directory)
-        return super().tearDown()
 
     def test_case_1(self):
         matched_files = f_294('.*hello.*', self.test_directory, self.extensions)