Merge pull request #982 from anandhkb/release/26.04

Add GitHub issue template for numerical instability reports

Author: anandhkb

.github/ISSUE_TEMPLATE/bug_report.md

@@ -11,7 +11,7 @@ assignees: ''
 A clear and concise description of what the bug is.
 
 **Steps/Code to reproduce bug**
-Follow this guide http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports to craft a minimal bug report. This helps us reproduce the issue you're having and resolve the issue more quickly.
+Follow the [RAPIDS issue guidelines](https://docs.rapids.ai/contributing/issues/) (search existing issues first, then describe the problem so it can be understood and reproduced). Use the cuOpt issue template that best fits; the RAPIDS page describes general practices. Provide clear steps (and code or data) so we can reproduce the issue and resolve it more quickly.
 
 **Expected behavior**
 A clear and concise description of what you expected to happen.

.github/ISSUE_TEMPLATE/numerical_instability.md

@@ -0,0 +1,25 @@
+---
+name: "Numerical issues"
+about: "Report numerical issues (e.g., NaNs/Infs, ill-conditioning, tolerance or scaling issues)"
+title: "[NUMERICAL_ISSUES]"
+labels: "? - Needs Triage, numerical issues"
+assignees: ''
+
+---
+
+**Describe the numerical issue**
+A clear description of the numerical problem (e.g., NaN/Inf values, unexpected divergence, extreme sensitivity to small input changes).
+
+**Steps / minimal reproduction**
+Follow the [RAPIDS issue guidelines](https://docs.rapids.ai/contributing/issues/) (search existing issues first, then describe the problem so it can be understood and reproduced). Use the cuOpt issue template that best fits; the RAPIDS page describes general practices. Include inputs, API calls, and solver settings (tolerances, scaling, precision) that reproduce the behavior.
+
+**Expected vs actual behavior**
+What you expected numerically, and what you observed (including any error messages or logs).
+
+**Environment details (please complete the following information):**
+ - Environment location: [Bare-metal, Docker, Cloud (specify cloud provider)]
+ - Method of cuOpt install: [conda, Docker, or from source]
+   - If method of install is [Docker], provide `docker pull` & `docker run` commands used
+
+**Additional context**
+Add any other context (hardware, CUDA/driver versions, data scaling, problem size) that may help diagnose the issue.