Project: s41467-025-59839-3 | Function: FindOpenContours (python)

system: You are an expert Python programmer implementing algorithms from scientific papers.
Complete the masked function based on the algorithm description.
Follow Python best practices and maintain consistent code style.
Return **only** the complete Python function code.

user: Complete this Python function:

**DESCRIPTION:** Implements geometric algorithm to connect separate contour components by finding optimal connection points based on minimum Euclidean distance. Creates continuous contour paths for complex shapes with holes for accurate ROI definition.

**KEY TERMS:** {
  "contours_outer_shape": "outer region boundaries",
  "contours_holes": "inner hole boundaries",
  "min_dist": "minimum connection distance",
  "new_contours": "connected contour paths"
}

**CONTEXT CODE:** """
This functions helps to recognize counts with holes.

"""

import numpy as np
from skimage.measure import euler_number, label
from skimage import measure
from scipy.ndimage.morphology import binary_fill_holes
import skimage.exposure as exposure

# define function
def FindContours(image, loop = 5, level = 0.5):
    # MASKED: Implements recursive contour detection algorithm for complex shapes with multiple nested holes using Euler number calculation and iterative binary hole filling implementation
    raise NotImplementedError("This function is masked for testing purposes.")

def FindOpenContours(contours_outer_shape, contours_holes):
    # MASKED: Implements geometric algorithm to connect separate contour components by finding optimal connection points based on minimum Euclidean distance implementation
    raise NotImplementedError("This function is masked for testing purposes.")


Complete the function implementation replacing "raise NotImplementedError".