1 files changed, 19 insertions, 19 deletions
diff --git a/ext/bigdecimal/lib/bigdecimal/ludcmp.rb b/ext/bigdecimal/lib/bigdecimal/ludcmp.rb
index 176ed84caf..e18446d55b 100644
--- a/ext/bigdecimal/lib/bigdecimal/ludcmp.rb
+++ b/ext/bigdecimal/lib/bigdecimal/ludcmp.rb
@@ -12,24 +12,24 @@ module LUSolve
       nrmrow  = zero
       ixn = i*n
       for j in 0...n do
-         biggst = a[ixn+j].abs
-         nrmrow = biggst if biggst>nrmrow
+        biggst = a[ixn+j].abs
+        nrmrow = biggst if biggst>nrmrow
       end
       if nrmrow>zero then
-         scales <<= one.div(nrmrow,prec)
+        scales <<= one.div(nrmrow,prec)
       else
-         raise "Singular matrix"
+        raise "Singular matrix"
       end
     end
     n1          = n - 1
     for k in 0...n1 do # Gaussian elimination with partial pivoting.
       biggst  = zero;
       for i in k...n do
-         size = a[ps[i]*n+k].abs*scales[ps[i]]
-         if size>biggst then
-            biggst = size
-            pividx  = i
-         end
+        size = a[ps[i]*n+k].abs*scales[ps[i]]
+        if size>biggst then
+          biggst = size
+          pividx  = i
+        end
       end
       raise "Singular matrix" if biggst<=zero
       if pividx!=k then
@@ -42,10 +42,10 @@ module LUSolve
         psin = ps[i]*n
         a[psin+k] = mult = a[psin+k].div(pivot,prec)
         if mult!=zero then
-           pskn = ps[k]*n
-           for j in (k+1)...n do
-             a[psin+j] -= mult.mult(a[pskn+j],prec)
-           end
+          pskn = ps[k]*n
+          for j in (k+1)...n do
+            a[psin+j] -= mult.mult(a[pskn+j],prec)
+          end
         end
       end
     end
@@ -72,12 +72,12 @@ module LUSolve
       x <<= b[ps[i]] - dot
     end
     (n-1).downto(0) do |i|
-       dot = zero
-       psin = ps[i]*n
-       for j in (i+1)...n do
-         dot = a[psin+j].mult(x[j],prec) + dot
-       end
-       x[i]  = (x[i]-dot).div(a[psin+i],prec)
+      dot = zero
+      psin = ps[i]*n
+      for j in (i+1)...n do
+        dot = a[psin+j].mult(x[j],prec) + dot
+      end
+      x[i]  = (x[i]-dot).div(a[psin+i],prec)
     end
     x
   end