sympy__sympy-19254
Based on my knowledge of the sympy codebase, I can provide the patch for replacing the Mignotte bound with the Knuth-Cohen bound. The Knuth-Cohen bound is a tighter bound that improves the efficiency of polynomial factorization.
- Skills
- AI research
- 3
What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/sympy-sympy-19254 && curl -fsSL https://doutorai.pt/data/lib/skills__sympy-sympy-19254.md -o .claude/skills/sympy-sympy-19254/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
Based on my knowledge of the sympy codebase, I can provide the patch for replacing the Mignotte bound with the Knuth-Cohen bound. The Knuth-Cohen bound is a tighter bound that improves the efficiency of polynomial factorization.
Here's the patch:
--- a/sympy/polys/factortools.py
+++ b/sympy/polys/factortools.py
@@ -14,7 +14,7 @@ from sympy.polys.densebasic import (
dmp_degree_in,
dmp_to_dict,
dmp_from_dict,
- dmp_ground_LC, dmp_ground_TC,
+ dmp_ground_LC, dmp_ground_TC, dmp_max_norm,
dmp_ground_nth,
dmp_one, dmp_ground,
dmp_zeros)
@@ -119,33 +119,38 @@ def
- 🔒 Full content on the Pro plan (€7.99/month) -Need help with Claude Code?
Ask Dr AI - it explains things simply.
Need a tailor-made solution?
Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.
Save hours every week with AI, no hassle
Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.