Handle missing gap parameter for infeasible SCIP solutions

Author: suhas-r

README.md

@@ -1,6 +1,6 @@
 #  CoRAL - Complete Reconstruction of Amplifications with Long reads
 ## Reference
-CoRAL is a tool which utilizes aligned, single-molecule long-read data (.bam) as input, and identifies candidate ecDNA structures. The original Genome Research '24 paper is available here: https://genome.cshlp.org/content/34/9/1344.
+CoRAL is a tool which utilizes aligned, single-molecule long-read data (.bam) as input, and identifies candidate ecDNA structures. The original Genome Research '24 paper is available here: https://genome.cshlp.org/content/34/9/1344, and used CoRAL v1.0.0.
 
 - **CoRAL only works on long-read
 whole-genome sequencing data (PacBio, Oxford Nanopore, etc.) - not targeted 

coral/models/cycle_utils.py

@@ -288,6 +288,10 @@ def solve(
                 # keepfiles=True,
                 # load_solutions=True,
             )
+            # Infeasible SCIP solutions sometimes don't populate gap attribute
+            if not hasattr(results.solver, "gap"):
+                results.solver.gap = None
+
             # We potentially need to load because the Pyomo flag will delete the
             # solver results object, which we need to extract MIP Gap
             # information for certain solvers where the Pyomo log-parsing fails.

pyproject.toml

@@ -21,7 +21,7 @@ license = "MIT"
 name = "CoRAL"
 readme = 'README.md'
 repository = "https://github.com/AmpliconSuite/CoRAL"
-version = "2.2.0"
+version = "2.2.1"
 
 packages = [{ include = "coral" }]