timfuz leastsq: write output solution

Signed-off-by: John McMaster <johndmcmaster@gmail.com>

timfuz/solve_leastsq.py

@@ -111,6 +111,34 @@ def run_corner(Anp, b, names, verbose=False, opts={}, meta={}, outfn=None):
             print('')
             print(res.x)
         print('Done')
+        if outfn:
+            # ballpark minimum actual observed delay is around 7 (carry chain)
+            # anything less than one is probably a solver artifact
+            delta = 0.5
+
+            print('Writing resutls')
+            skips = 0
+            with open(outfn, 'w') as fout:
+                # write as one variable per line
+                # this natively forms a bound if fed into linprog solver
+                fout.write('ico,fast_max fast_min slow_max slow_min,rows...\n')
+                for xval, name in zip(res.x, names):
+                    row_ico = 1
+
+                    # FIXME: only report for the given corner?
+                    # also review ceil vs floor choice for min vs max
+                    # lets be more conservative for now
+                    if xval < delta:
+                        #print('Skipping %s: %0.6f' % (name, xval))
+                        skips += 1
+                        continue
+                    #xvali = round(xval)
+                    xvali = math.ceil(xval)
+                    corners = [xvali for _ in range(4)]
+                    items = [str(row_ico), ' '.join([str(x) for x in corners])]
+                    items.append('%u %s' % (1, name))
+                    fout.write(','.join(items) + '\n')
+            print('Wrote: skip %u => %u / %u valid delays' % (skips, len(names) - skips, len(names)))
 
 def main():
     import argparse
@@ -142,7 +170,7 @@ def main():
         sub_json = load_sub(args.sub_json)
 
     try:
-        timfuz_solve.run(run_corner=run_corner, sub_json=sub_json, 
+        timfuz_solve.run(run_corner=run_corner, sub_json=sub_json,
             fns_in=fns_in, corner=args.corner, massage=args.massage, outfn=args.out, verbose=args.verbose)
     finally:
         print('Exiting after %s' % bench)
@@ -164,7 +192,7 @@ def test1():
 
 # optimize.leastsq
 def test2():
-    
+
     # The function whose square is to be minimised.
     # params ... list of parameters tuned to minimise function.
     # Further arguments: