# HG changeset patch
# User wenzelm
# Date 1699005315 -3600
# Node ID 88eb92a52f9bbfae5e87472722f907b58561cedf
# Parent  6996a20a1b7c808890e47b7ffa57aa124c698bd8# Parent  95bbf9a576b38611d32016fe07797ab55c646bfe
merged

diff -r 6996a20a1b7c -r 88eb92a52f9b src/Pure/General/time.scala
--- a/src/Pure/General/time.scala	Fri Nov 03 10:21:21 2023 +0100
+++ b/src/Pure/General/time.scala	Fri Nov 03 10:55:15 2023 +0100
@@ -47,6 +47,8 @@
   def min(t: Time): Time = if (this < t) this else t
   def max(t: Time): Time = if (this > t) this else t
 
+  def scale(s: Double): Time = new Time((s * ms).ceil.toLong)
+
   def is_zero: Boolean = ms == 0
   def is_relevant: Boolean = ms >= 1
 
diff -r 6996a20a1b7c -r 88eb92a52f9b src/Pure/Tools/build_schedule.scala
--- a/src/Pure/Tools/build_schedule.scala	Fri Nov 03 10:21:21 2023 +0100
+++ b/src/Pure/Tools/build_schedule.scala	Fri Nov 03 10:55:15 2023 +0100
@@ -29,9 +29,6 @@
   class Timing_Data private(data: List[Timing_Entry], val host_infos: Host_Infos) {
     require(data.nonEmpty)
 
-    def speedup(time: Time, factor: Double): Time =
-      Time.ms((time.ms * factor).toLong)
-
     def is_empty = data.isEmpty
     def size = data.length
 
@@ -64,7 +61,7 @@
 
           def unify_hosts(data: Timing_Data): List[Time] =
             data.by_hostname.toList.map((hostname, data) =>
-              speedup(data.mean_time, hostname_factor(hostname, ref_hostname)))
+              data.mean_time.scale(hostname_factor(hostname, ref_hostname)))
 
           val entries =
             data.by_threads.toList.map((threads, data) =>
@@ -102,7 +99,7 @@
                   val approximated =
                     data.by_hostname.toList.flatMap((hostname1, data) =>
                       data.approximate_threads(threads).map(time =>
-                        speedup(time, hostname_factor(hostname1, hostname))))
+                        time.scale(hostname_factor(hostname1, hostname))))
 
                   if (approximated.nonEmpty) Timing_Data.mean_time(approximated)
                   else {
@@ -110,7 +107,7 @@
                     data.approximate_threads(threads).getOrElse {
                       // only single data point, use global curve to approximate
                       val global_factor = threads_factor(data.by_threads.keys.head, threads)
-                      speedup(data.by_threads.values.head.mean_time, global_factor)
+                      data.by_threads.values.head.mean_time.scale(global_factor)
                     }
                   }
                 }
@@ -119,7 +116,7 @@
               data.by_hostname.get(hostname).map(_.mean_time).getOrElse {
                 Timing_Data.median_time(
                   data.by_hostname.toList.map((hostname1, data) =>
-                    speedup(data.mean_time, hostname_factor(hostname1, hostname))))
+                    data.mean_time.scale(hostname_factor(hostname1, hostname))))
               }
           }
       }