// Some double precision SIMD architectures use single precision in the first
// step, so although the double precision criterion would allow smaller rsq,
// we need to stay in single precision with some margin for the N-R iterations.
-#define NBNXN_MIN_RSQ 1.0e-36
+# define NBNXN_MIN_RSQ 1.0e-36
#else
// The worst intermediate value we might evaluate is r^-12, which
// means we should ensure r^2 stays above pow(GMX_FLOAT_MAX,-1.0/6.0)*1.01 (some margin)
-#define NBNXN_MIN_RSQ 3.82e-07f // r > 6.2e-4
+# define NBNXN_MIN_RSQ 3.82e-07f // r > 6.2e-4
#endif
/* The number of clusters in a super-cluster, used for GPU */
-#define c_nbnxnGpuNumClusterPerSupercluster 8
+#define c_nbnxnGpuNumClusterPerSupercluster 8
/* With GPU kernels we group cluster pairs in 4 to optimize memory usage
* of integers containing 32 bits.
*/
-#define c_nbnxnGpuJgroupSize (32/c_nbnxnGpuNumClusterPerSupercluster)
+#define c_nbnxnGpuJgroupSize (32 / c_nbnxnGpuNumClusterPerSupercluster)
#endif