Reduce python interactions in cython part of code #58
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Actionable comments posted: 1
🔭 Outside diff range comments (1)
src/PartSegCore_compiled_backend/triangulate.pyx (1)
Line range hint
439-511: Reset or reinitialize 'polygon_vector' before each loop iteration
Inside the loop over "polygon_li", you use "polygon_vector.reserve(polygon.shape[0])" but never call "polygon_vector.clear()". As a result, points from a previous iteration will accumulate, causing incorrect results. Invoke "polygon_vector.clear()" at the start of each loop iteration to ensure each polygon is processed independently.Example fix:
for i in range(len(polygon_li)): + polygon_vector.clear() polygon = polygon_li[i] polygon_vector.reserve(polygon.shape[0]) ...
| def triangulate_path_edge_numpy(cnp.ndarray[cnp.float32_t, ndim=2] path, bool closed=False, float limit=3.0, bool bevel=False) -> tuple[np.ndarray, np.ndarray, np.ndarray]: | ||
| """ Triangulate path""" | ||
| cdef vector[Point] path_vector | ||
| cdef PathTriangulation result | ||
| cdef Point p1, p2 | ||
| cdef cnp.ndarray[cnp.uint32_t, ndim=2] triangles | ||
| cdef cnp.ndarray[cnp.float32_t, ndim=2] offsets, centers | ||
| cdef size_t i, len_path | ||
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| len_path = path.shape[0] | ||
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| path_vector.reserve(len_path) | ||
| for i in range(len_path): | ||
| path_vector.push_back(Point(path[i, 0], path[i, 1])) | ||
| with cython.nogil: | ||
| result = triangulate_path_edge(path_vector, closed, limit, bevel) | ||
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| triangles = np.empty((result.triangles.size(), 3), dtype=np.uint32) | ||
| centers = np.empty((result.centers.size(), 2), dtype=np.float32) | ||
| offsets = np.empty((result.offsets.size(), 2), dtype=np.float32) | ||
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| for i in range(result.triangles.size()): | ||
| triangles[i, 0] = result.triangles[i].x | ||
| triangles[i, 1] = result.triangles[i].y | ||
| triangles[i, 2] = result.triangles[i].z | ||
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| for i in range(result.centers.size()): | ||
| centers[i, 0] = result.centers[i].x | ||
| centers[i, 1] = result.centers[i].y | ||
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| for i in range(result.offsets.size()): | ||
| offsets[i, 0] = result.offsets[i].x | ||
| offsets[i, 1] = result.offsets[i].y | ||
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| return ( | ||
| centers, | ||
| offsets, | ||
| triangles, | ||
| ) | ||
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💡 Codebase verification
Based on the code analysis, I can now provide the final response:
Add input validation for path length and shape
The C++ implementation already handles empty or single-point paths by returning a default triangulation, but this should be documented and handled explicitly in the Python wrapper. Add validation at the start of the function:
def triangulate_path_edge_numpy(path, closed=False, limit=3.0, bevel=False):
"""Triangulate path
Args:
path: numpy array of shape (N, 2) containing path points
closed: whether the path forms a closed loop
limit: angle limit for miter joins
bevel: whether to use bevel joins
Returns:
Tuple of (centers, offsets, triangles) arrays
Raises:
ValueError: if path has less than 2 points or wrong shape
"""
if path.shape[0] < 2:
raise ValueError("Path must have at least 2 points")
if path.shape[1] != 2:
raise ValueError("Path must be a Nx2 array of points")🔗 Analysis chain
Ensure robust handling of empty or invalid paths
If "path" is empty or has fewer than 2 points, this could cause unexpected behavior or an empty triangulation. Consider performing an early return or raising a ValueError when "path.shape[0]" is insufficient to produce meaningful triangles. Also, it may help to document the expected shape of "path" (N×2) in the docstring for clarity.
You can verify potential issues with empty "path" by searching for all calls to "triangulate_path_edge_numpy" to confirm that no zero-length arrays are used:
Let me search for more context about how this function is used.
Let me check the test file to understand how this function is tested and if there are any edge cases covered.
Let me check the C++ implementation to see if there's any validation in the underlying function.
Let me check the C++ header file for the implementation details.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Searching for all calls to triangulate_path_edge_numpy
rg -A 2 'triangulate_path_edge_numpy'
Length of output: 420
Script:
#!/bin/bash
# Search for imports or references of triangulate_path_edge_numpy
rg -l "triangulate_path_edge_numpy"
# Search for test files related to triangulation
fd "test.*triangulat.*"
# Look for any validation of path arguments
rg "path\.shape|len\(path\)" src/PartSegCore_compiled_backend/triangulate.pyx
Length of output: 284
Script:
#!/bin/bash
# Check the test file content
cat src/tests/test_triangulate.py
# Also check if there's any validation in the C++ implementation
rg -A 5 "triangulate_path_edge" src/PartSegCore_compiled_backend/triangulate.pyx
Length of output: 24047
Script:
#!/bin/bash
# Look for the C++ implementation of triangulate_path_edge
fd -e cpp -e hpp "triangulate"
Length of output: 93
Script:
#!/bin/bash
# Check the C++ header implementation
cat src/PartSegCore_compiled_backend/triangulation/triangulate.hpp
Length of output: 48891
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Actionable comments posted: 0
🧹 Nitpick comments (2)
src/tests/test_triangulate.py (2)
563-639: Consider adding type hints and documentation for PATH_DATA.The test data is comprehensive, but would benefit from documentation explaining the structure and purpose of each field in the test cases.
PATH_DATA = [ + # List[Tuple[List[List[float]], bool, bool, int, List[List[int]]]] + # Each tuple contains: + # - path: List of 2D points [[x, y], ...] + # - closed: Whether the path forms a closed loop + # - bevel: Whether to apply beveling to corners + # - expected: Expected number of points in output + # - exp_triangles: Expected triangulation result ( [[0, 0], [0, 10], [10, 10], [10, 0]], True,
646-648: Rename test function to match its broader scope.The function name
test_triangulate_path_edge_pyis misleading as it now tests both Python and NumPy implementations.-def test_triangulate_path_edge_py(path, closed, bevel, expected, exp_triangles, triangulate_fun): +def test_triangulate_path_edge(path, closed, bevel, expected, exp_triangles, triangulate_fun):
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📒 Files selected for processing (1)
src/tests/test_triangulate.py(3 hunks)
🔇 Additional comments (1)
src/tests/test_triangulate.py (1)
657-662: LGTM!
The test function correctly specifies the dtype and verifies both triangulation results and output shapes.
Using
cythonize -ato get information when cython contains obsolete python calls.Summary by CodeRabbit
New Features
Bug Fixes