Resolve Issue #36: Fix Windows Compilation Error in heapq.pyx by Specifying dtype #46
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…dtype Addressing Issue malcolmw#36 The expected type was 'Py_ssize_t', but 'long' was provided instead. This led to runtime exception. The solution was to explicitly set the dtype parameter to np.intp in the np.full function call. This modification resolves the error on Windows by ensuring the type matches the expected 'Py_ssize_t', as np.intp is the numpy data type that maps to 'ssize_t' on the platform being compiled on, thus aligning with Python's indexing types and C's ssize_t on Windows.
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This worked for me on Windows! But took me a while to get here. @malcolmw, please merge the pull-request. |
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Background
This pull request addresses Issue #36 , which reports an exception on Windows within the
heapq.pyxmodule. The error was due to a type mismatch during the initialization ofself.cy_heap_indexusingnp.full, expecting 'Py_ssize_t' but receiving 'long'.Investigation and Solution
The root cause was identified as the lack of an explicit
dtypein thenp.fullfunction call. To fix this issue,dtype=np.intpwas added to the function call.np.intpis the numpy data type designed to be portable across platforms and matches 'ssize_t' in C, which is compatible with 'Py_ssize_t' in Python's C API. This change ensures the correct type is used, aligning with platform-specific requirements, especially on Windows.Changes Made
Modified the initialization of
self.cy_heap_indexinheapq.pyxto explicitly set thedtypetonp.intp:From:
To:
Conclusion
This fix not only resolves the reported issue but also enhances the codebase's portability and compatibility across different platforms. The explicit specification of dtype=np.intp ensures the heapq.pyx module can be compiled on Windows without encountering the previously reported type mismatch error.
I request a review for this pull request to merge the fix into the main branch, addressing Issue #36 and facilitating broader platform compatibility, Thanks!