int

1. **Generate Documents and Relevant Labels**: Create synthetic documents and labels indicating which documents are relevant. 2. **Implement Retrieval Tools**: Define how each retrieval tool works. For simplicity, let's assume each tool ret…

:param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define …

[Turn 1207] Assistant: Great! Let's go ahead and run through the script with the example you provided. We'll start by defining the factors and their weights, then input the scores for each option, and finally calculate the weighted scores. …

:return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define the factors and their weights factors = ['cost', 'scal…

while True: response = requests.get(url, headers=headers) if response.status_code == 200: return response.json() elif response.status_code == 429: # Rate limit exceeded reset_time = int(r…

[Turn 2439] Assistant: That's a great start! Creating a visual dashboard to track your progress can be very helpful. Let's enhance your script to include more details and make it more informative. We can add a label showing the percentage c…

# Check if the result is already cached cache_key = f"auth:{username}:{password}" cached_result = redis_client.get(cache_key) if cached_result: authenticated = bool(int(cached_result)) end_time = time.ti…

# Total deliverables and target coverage total_deliverables = 100 target_coverage = 95 # Function to update completion percentage def update_completion_percentage(sprint, percentage): df.loc[df['Sprint'] == sprint, 'Completion Percenta…

ss.search(f'search {i}') # get search speeds search_speeds = ss.get_search_speeds() # calculate 90th percentile search_speeds.sort() ninetieth_percentile = search_speeds[int(0.9 * len(search_speeds))] print(ninetieth_percentile) # s…

'user_id': decoded_token['user_id'], 'exp': int(datetime.datetime.utcnow().timestamp()) + token_expiration_time }, 'your_secret_key', algorithm='HS256') return new_token except jwt.exceptions.Inva…

logging.info('User logged in') logging.info('Sensitive operation performed') # Create a metric my_counter = Counter('my_metric', 'My metric') # Increment the metric my_counter.inc() # Start the HTTP server to expose metrics start_http_se…

print(f"Total latency for 10,000 queries: {total_latency:.2f} seconds") print(f"Average latency per query: {average_latency * 1000:.2f} ms") # Measure individual latencies individual_latencies = [] for query in queries: latency = measu…

- Add additional checks to ensure the query length does not exceed the window size. ### Example Adjusted Logic ```python def resize_window(query, complexity): # Resize context window based on complexity base_window_size = 768 …

completed_operations += sum(1 for op in operations if 'Completed' in content) self.assertGreaterEqual(completed_operations, int(self.completed_percentage * self.expected_operations), …

all_data = [{"id": i, "text": f"This is tokenized data {i}"} for i in range(1000)] # Filter data based on user roles if "full-access" in user_roles: return all_data elif "limited-access" in user_roles: # Ret…