chore: update david benchmark script to import from examples

#919

benchmark/david_benchmark.py

@@ -29,6 +29,7 @@
 """
 
 import os
+import sys
 import time
 from pathlib import Path
 from typing import Optional
@@ -38,20 +39,23 @@
 import matplotlib.pyplot as plt
 import numpy as np
 from jax import random
+from mnist_benchmark import get_solver_name, initialise_solvers
 
-from benchmark.mnist_benchmark import get_solver_name, initialise_solvers
 from coreax import Data
 from coreax.solvers import MapReduce
 from examples.david_map_reduce_weighted import downsample_opencv
 
+sys.path.append(str(Path(__file__).parent.parent))
+
+
 MAX_8BIT = 255
 
 
 # pylint: disable=too-many-locals
 def benchmark_coreset_algorithms(
     in_path: Path = Path("../examples/data/david_orig.png"),
     out_path: Optional[Path] = Path("david_benchmark_results.png"),
-    downsampling_factor: int = 1,
+    downsampling_factor: int = 6,
 ):
     """
     Benchmark the performance of coreset algorithms on a downsampled greyscale image.
@@ -66,7 +70,6 @@ def benchmark_coreset_algorithms(
     """
     # Base directory of the current script
     base_dir = os.path.dirname(os.path.abspath(__file__))
-
     # Convert to absolute paths using os.path.join
     if not in_path.is_absolute():
         in_path = Path(os.path.join(base_dir, in_path))