Fix: Relax torch and scipy version constraints for Windows compatibility #387
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📝 WalkthroughWalkthroughRelaxed dependency pins in Changes
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@requirements.txt`:
- Line 1: Update the torch requirement to a patched minimum version to avoid the
RCE vulnerability: change the requirement in requirements.txt from torch>=2.5.1
to at least torch>=2.6.0 (or preferably torch>=2.8.0,<3 to cover all advisories
and prevent accidental major upgrades); ensure the new constraint replaces the
existing "torch>=2.5.1" entry so dependency installs pull the fixed release.
Thanks for the catch! I have updated the constraint to torch>=2.8.0,<3. This resolves the RCE vulnerability (CVE-2025-32434) and covers the other advisories while maintaining Windows Python 3.11 compatibility. |
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Actionable comments posted: 2
🤖 Fix all issues with AI agents
In `@requirements.txt`:
- Line 8: You relaxed scipy to ">=1.14.1" but scipy 1.15.0 introduces breaking
changes; either pin an upper bound (e.g., "<1.15.0") in requirements.txt until
compatibility is verified, or run the test suite against scipy 1.15+ and update
code to handle the changes: adapt any uses of BSpline.integrate to accept a
numpy.ndarray (coerce to float when a scalar is expected), revise wilcoxon calls
to pass and handle the stricter method argument behavior, and remove or replace
references to AccuracyWarning; search for BSpline.integrate, wilcoxon, and
AccuracyWarning to locate affected code paths and add conversions/guards or
adjust logic accordingly.
- Line 1: The requirements.txt currently pins the torch dependency as
"torch>=2.2.0,<3" which is too permissive and contradicts your stated update;
change the constraint to "torch>=2.8.0,<3" to ensure fixes for CVE-2025-32434
and the mkldnn/ctc_loss DoS issues are included, and update any related comments
or documentation that claim "torch>=2.8.0,<3" so they match the actual
requirement; look for the "torch" line in requirements.txt and any nearby notes
referencing torch versions to keep them consistent.
| networkx==3.1 | ||
| numpy | ||
| scipy==1.14.1 | ||
| scipy>=1.14.1 |
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🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
# Check scipy versions and security information from PyPI
# Get scipy package info
echo "=== Fetching scipy package information from PyPI ==="
curl -s https://pypi.org/pypi/scipy/json 2>/dev/null | jq -r '
.info |
"\(.name) - Latest: \(.version)\nHome Page: \(.home_page)\n"
'
# Get recent scipy releases (1.14.x and 1.15.x)
echo -e "\n=== Recent scipy releases ==="
curl -s https://pypi.org/pypi/scipy/json 2>/dev/null | jq -r '
.releases | keys[] |
select(test("^1\\.(14|15|16)\\.")) | sort -V
' | tail -20
# Check if there are any security advisories on PyPI
echo -e "\n=== Checking for known security issues ==="
curl -s https://pypi.org/pypi/scipy/json 2>/dev/null | jq -r '
if .vulnerabilities then
.vulnerabilities[] | "\(.id): \(.description)"
else
"No vulnerabilities field found in PyPI API response"
end
'Repository: AOSSIE-Org/EduAid
Length of output: 411
🌐 Web query:
scipy 1.14.1 1.15 breaking changes release notes
💡 Result:
SciPy 1.14.1 (vs 1.14.0)
- No breaking changes called out: it’s a bug-fix release with no new features.
- Adds Python 3.13 support (including PyPI wheels). [1]
SciPy 1.15.0 (vs 1.14.x) — breaking/backwards-incompatible changes & notable upgrade notes
- Version requirements changed: requires Python 3.10–3.13 and NumPy ≥ 1.23.5. [2]
- Backwards incompatible changes: [2]
interpolate.BSpline.integratenow always returns a NumPy array (previously could return a Python float for 1D splines).scipy.stats.wilcoxonnow respects the user-providedmethodargument (previously could fall back to'approx'even if'exact'was specified in some cases).scipy.integrate.AccuracyWarningremoved because the functions that emitted it (scipy.integrate.quadrature,scipy.integrate.romberg) have been removed.
- Deprecations announced in 1.15.0 notes (scheduled removals/errors in 1.17.0): [3]
scipy.linalg.interpolative.rand/seeddeprecated.- Complex inputs to
scipy.spatial.distance.cosineandcorrelationdeprecated (will error). scipy.spatial.distance.kulczynski1andsokalmichenerdeprecated.scipy.stats.find_repeatsdeprecated (prefernumpy.unique/ counts).
SciPy 1.15.1 (vs 1.15.0)
- No new features; bug-fix-only release.
- Fixes a reported issue where importing
scipy.optimizecould break other packages. [4]
Sources (release notes): SciPy 1.14.1 [1], SciPy 1.15.0 [2][3], SciPy 1.15.1 [4].
🌐 Web query:
scipy Windows installation compatibility Python 3.11 3.12
💡 Result:
- Python 3.11 on Windows: Supported by SciPy 1.9+ (SciPy 1.9–1.11 support Python
<3.12, so 3.11 is OK), and Windows cp311 wheels are available (e.g., SciPy 1.10.x hascp311win_amd64wheels). [1], [2] - Python 3.12 on Windows: Use SciPy 1.12+ for straightforward
pipinstalls, because SciPy 1.12.0 is where Windowscp312wheels are present on PyPI. [1], [3] - Practical recommendation (Windows): For Python 3.11/3.12, install a recent SciPy (today, PyPI shows SciPy 1.17.0 with Windows wheels including
cp312 win_amd64). [4]
Install (pip):
py -3.11 -m pip install -U pip scipy
py -3.12 -m pip install -U pip scipyCommon gotcha: If you pin an older SciPy that doesn’t provide a wheel for your Python version, pip may fall back to a source build (often failing without a full compiler/Fortran toolchain). [1]
Sources: SciPy toolchain/version support table [1]; PyPI wheel listings for cp311 (SciPy 1.10.1) [2] and cp312 (SciPy 1.12.0) [3]; PyPI current SciPy files showing cp312 Windows wheels (SciPy 1.17.0) [4].
Verify compatibility with scipy 1.15.0+ before deploying.
The constraint relaxation from ==1.14.1 to >=1.14.1 does improve Windows compatibility by allowing newer scipy versions with precompiled wheels. However, scipy 1.15.0 introduces backwards-incompatible changes: BSpline.integrate now always returns a numpy array (previously could return a float), wilcoxon respects the method argument more strictly, and AccuracyWarning has been removed. Test the application against scipy 1.15.0+ to ensure these changes don't break existing functionality.
🤖 Prompt for AI Agents
In `@requirements.txt` at line 8, You relaxed scipy to ">=1.14.1" but scipy 1.15.0
introduces breaking changes; either pin an upper bound (e.g., "<1.15.0") in
requirements.txt until compatibility is verified, or run the test suite against
scipy 1.15+ and update code to handle the changes: adapt any uses of
BSpline.integrate to accept a numpy.ndarray (coerce to float when a scalar is
expected), revise wilcoxon calls to pass and handle the stricter method argument
behavior, and remove or replace references to AccuracyWarning; search for
BSpline.integrate, wilcoxon, and AccuracyWarning to locate affected code paths
and add conversions/guards or adjust logic accordingly.
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@requirements.txt`:
- Line 2: Replace the vulnerable pinned dependency "transformers==4.46.1" in
requirements.txt with a safe minimum version; update the line to
"transformers>=4.48.0" to immediately mitigate the RCE (CVE-2024-11394) or
preferably "transformers>=4.53.0" (or "transformers>=5.0.0") to also cover ReDoS
fixes—after changing the requirement, regenerate your lockfile or dependency
freeze (pip-compile / pip freeze) and run the test suite/CI to ensure
compatibility and no regressions.
1 participant
Description
Relaxed
scipyandtorchversion constraints inrequirements.txtto fix installation failures on Windows environments (specifically for Python 3.11+).Type of Change
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