12 def train_model(self):
13 X = self.sensor_data
14 y = self.target_coordinates
15 X_train, X_test, y_train, y_test = train_test_split(16 X, y, test_size=0.2, random_state=42
17 )
18 self.model.fit(X_train, y_train)
12 def train_model(self):
13 X = self.sensor_data
14 y = self.target_coordinates
15 X_train, X_test, y_train, y_test = train_test_split(16 X, y, test_size=0.2, random_state=42
17 )
18 self.model.fit(X_train, y_train)
18 search_results = perform_web_search(query, num_articles)
19
20 # Extract the article titles and URLs from the search results
21 article_titles = [result["title"] for result in search_results] 22 article_urls = [result["url"] for result in search_results]
23
24 # Summarize each article using a web service or library
18
19 # Get the list of files in the project
20 project_files = []
21 for root, dirs, files in os.walk("."):22 for file in files:
23 if file.endswith(".js") or file.endswith(".ts"):
24 project_files.append(os.path.join(root, file))
21
22 # Add edges between communication links and transaction fees based on their compatibility
23 for link in infrastructure_graph.edges:
24 for (body1, body2), fee in transaction_fees.items():25 if is_compatible(link, (body1, body2)):
26 bipartite_graph.add_edge(link, (body1, body2))
27
An unused variable takes up space in the code, and can lead to confusion, and it should be removed. If this variable is necessary, name the variable _
to indicate that it will be unused, or start the name with unused
or _unused
.
def update():
for i in range(10): # Usused variable `i`
time.sleep(0.01)
display_result()
def update():
for _ in range(10):
time.sleep(0.01)
display_result()