making c lint happier

Author: realead

pandas/_libs/src/klib/khash_python.h

@@ -18,14 +18,16 @@
 // thus murmur2-hash is used
 
 
-// specializations of https://github.com/aappleby/smhasher/blob/master/src/MurmurHash2.cpp
-// it is possible to have a special x64-version, which would need less operations, but 
-// using 32bit version always has also some benifits:
-//    - one code for 32bit and 64bit builds
-//    - the same case for 32bit and 64bit builds
-//    - no performance difference could be measured compared to a possible x64-version
-
-khint32_t PANDAS_INLINE murmur2_32_32to32(khint32_t k1, khint32_t k2){
+// specializations of
+//     https://github.com/aappleby/smhasher/blob/master/src/MurmurHash2.cpp
+// it is possible to have a special x64-version, which would need less
+// operations,but using 32bit version always has also some benifits:
+//   - one code for 32bit and 64bit builds
+//   - the same case for 32bit and 64bit builds
+//   - no performance difference could be measured compared
+//     to a possible x64-version
+
+khint32_t PANDAS_INLINE murmur2_32_32to32(khint32_t k1, khint32_t k2) {
     const khint32_t SEED = 0xc70f6907UL;
     // 'm' and 'r' are mixing constants generated offline.
     // They're not really 'magic', they just happen to work well.
@@ -35,15 +37,15 @@ khint32_t PANDAS_INLINE murmur2_32_32to32(khint32_t k1, khint32_t k2){
     // Initialize the hash to a 'random' value
     khint32_t h = SEED ^ 4;
 
-    //handle first 4 bytes:
+    // handle first 4 bytes:
     k1 *= M_32;
     k1 ^= k1 >> R_32;
     k1 *= M_32;
 
     h *= M_32;
     h ^= k1;
 
-    //handle second 4 bytes:
+    // handle second 4 bytes:
     k2 *= M_32;
     k2 ^= k2 >> R_32;
     k2 *= M_32;
@@ -59,7 +61,7 @@ khint32_t PANDAS_INLINE murmur2_32_32to32(khint32_t k1, khint32_t k2){
     return h;
 }
 
-khint32_t PANDAS_INLINE murmur2_64to32(khint64_t k){
+khint32_t PANDAS_INLINE murmur2_64to32(khint64_t k) {
     khint32_t k1 = (khint32_t)k;
     khint32_t k2 = (khint32_t)(k >> 32);
 
@@ -76,13 +78,13 @@ khint64_t PANDAS_INLINE asint64(double key) {
 #define ZERO_HASH 0
 #define NAN_HASH  0
 
-khint32_t PANDAS_INLINE kh_float64_hash_func(double val){
+khint32_t PANDAS_INLINE kh_float64_hash_func(double val) {
     // 0.0 and -0.0 should have the same hash:
-    if (val == 0.0){
+    if (val == 0.0) {
         return ZERO_HASH;
     }
     // all nans should have the same hash:
-    if ( val!=val ){
+    if ( val != val ) {
         return NAN_HASH;
     }
     khint64_t as_int = asint64(val);