⚡️ Speed up function calculate by 36,697%

[codeflash-ai]

📄 36,697% (366.97x) speedup for calculate in CoverageArea.py

⏱️ Runtime : 56.6 milliseconds → 154 microseconds (best of 22 runs)

📝 Explanation and details

To optimize the given Python code, we will focus on several areas including reducing the range of nested loops, minimizing redundant calculations, and more efficiently handling data structures. I'll introduce checks to avoid re-marking already covered points and avoiding recomputation of bounds.

Here's the optimized version of the code.

Key Optimizations.

1. Using numpy arrays.

   • We switched from Python list of lists to numpy arrays for the points matrix to take advantage of numpy's efficient array operations.

2. Re-evaluating bounds.

   • Instead of recalculating the bounds in each loop, we precompute the bounds (left, right, down, up) considering the limits of the matrix dimensions only once.

3. Avoiding Re-Marking.

   • Check if a point is already marked (not points[i, j]) before performing the distance calculation to reduce unnecessary computations.

These optimizations make the operations more efficient, especially for large datasets, by minimizing redundant calculations and leveraging efficient data structures.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 2 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	85.7%

🌀 Generated Regression Tests Details

from collections import namedtuple

# imports
import pytest  # used for our unit tests
from CoverageArea import calculate

# Mocking SENSOR and conversion function for testing purposes
SENSOR = namedtuple('SENSOR', ['x', 'y'])

def convert_from_binlist_to_int(binlist):
    return int(''.join(binlist), 2)
from CoverageArea import calculate

# unit tests



def test_no_sensors():
    # No sensors
    codeflash_output = calculate([], 16, 10)
















import pytest  # used for our unit tests
from CoverageArea import calculate


# Mock classes and functions
class SENSOR:
    def __init__(self, coordinates):
        self.x, self.y = coordinates

def convert_from_binlist_to_int(binlist):
    return int(''.join(binlist), 2)
from CoverageArea import calculate

# unit tests





def test_empty_sensor_list():
    # No sensors provided
    sensors_locations = []
    n_bits = 10
    CRPS = 50
    codeflash_output = calculate(sensors_locations, n_bits, CRPS)

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