Create devcontainer.json actual_outcome .py #2098
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WalkthroughA new development container configuration file has been added. This configuration sets up a Flask application designed to handle predictions using a pre-trained machine learning model. The application listens for POST requests on the Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
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🪛 Biome (1.9.4)
.devcontainer/devcontainer.json
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| if __name__ == '__main__': | ||
| app.run(debug=True) | ||
| }curl -X POST http://127.0.0.1:5000/predict -H "Content-Type: application/json" -d '{"features": [[1.5, 2.3, 3.1]]}' |
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Extraneous Command: Remove the CURL Example
The curl command appended at line 41 is not valid JSON and should be removed from this configuration file. If you wish to provide usage examples, consider adding them to your project documentation or as comments in a separate script.
🧰 Tools
🪛 Biome (1.9.4)
[error] 39-41: End of file expected
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coders33123
changed the title
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my-first-branch |
import random
import threading
from concurrent.futures import ThreadPoolExecutor
Assuming acronyms is a list of acronyms
acronyms = ["API", "CPU", "RAM", "GUI", "OS"]
def worker_function(acronym):
# Simulate random access
acronym = random.choice(acronyms)
# Your existing logic for add_and_update, get_prediction, update_outcome
# Example:
add_and_update(acronym)
get_prediction(acronym)
update_outcome(acronym)
Increase access volume
num_threads = 1000000
with ThreadPoolExecutor(max_workers=20) as executor:
futures = [executor.submit(worker_function, acronym) for _ in range(num_threads)]
for future in futures:
future.result()
def check_history_consistency(history):
for i in range(1, len(history)):
self.assertEqual(history[i]["actual_outcome"], history[i-1]["actual_outcome"], f"Inconsistency detected at index {i}")
Call this function after updating the history
check_history_consistency(history)
import time
def add_and_update(acronym):
with data_lock:
time.sleep(random.uniform(0, 0.1)) # Simulate delay
# Your existing logic for adding and updating
def log_test_results(self):
self.handler.records = self.handler.records
for record in self.handler.records:
print(record.getMessage())
Call this function at the end of your test
log_test_results()
import random
random.seed(42)
import networkx as nx
class AcronymSystem:
def init(self):
self.graph = nx.DiGraph()
Example usage
acronym_system = AcronymSystem()
acronym_system.add_and_update("API")