Arithmetic Expression

for metric, value in metrics.items(): print(f"{metric.capitalize()}: {value / len(documents)}") ``` ->-> 7,20 [Turn 1177] Assistant: Certainly! Designing a proof of concept (PoC) to evaluate the performance of different retriev…

Ensure that you are using efficient data structures and algorithms to minimize overhead. ### Example Using `concurrent.futures` for Parallel Processing Here's an optimized version of your code using `concurrent.futures` to process user re…

sprint_effort = total_effort * (completion_percentage / 100) return sprint_effort tasks = ["task1", "task2", "task3"] # Replace with actual tasks completion_percentage = 80 print(estimate_effort(tasks, completion_percentage)) ``` …

for meta, gt in zip(metadata, ground_truth): if all(meta[key] == gt[key] for key in gt.keys()): correct += 1 return (correct / total) * 100 # Example ground truth data ground_truth = [...] # list of dictionarie…

# Test the batch inference function texts = ["This is a sample text"] * 5000 # Create a list of 5000 texts start_time = time.time() outputs = perform_batch_inference(texts) end_time = time.time() print(f"Inference time: {end_time - start_t…