err.addf(arg, "type %s of %s does not match %s (cannot infer %s)", targ, arg.expr, tpar, typeParamsString(tparams))
				return
			}
		}
		smap := makeSubstMap(tparams, targs)
		// TODO(gri): pass a poser here, rather than arg.Pos().
		inferred := check.subst(arg.Pos(), tpar, smap, nil, check.context())
		// CannotInferTypeArgs indicates a failure of inference, though the actual

				err.addf(arg, "type %s of %s does not match %s (cannot infer %s)", targ, arg.expr, tpar, typeParamsString(tparams))
				return
			}
		}
		smap := makeSubstMap(tparams, targs)
		// TODO(gri): pass a poser here, rather than arg.Pos().
		inferred := check.subst(arg.Pos(), tpar, smap, nil, check.context())
		// CannotInferTypeArgs indicates a failure of inference, though the actual

          ? "set_static_data_profile_counters_size(data, "
            "get_static_data_hlo_profile_printer_data(data)->"
            "profile_counters_size());"
          : "";

  // Use a poor-man's text templating mechanism; first populate the full header
  // with placeholder tokens, and then rewrite the tokens with real values.
  *header =

    // and reduces the false-positive probability.
    static final int MAX_RUN_MULTIPLIER = 13;

    /**
     * Checks the whole hash table for poor hash distribution. Takes O(n) in the worst case, O(n /
     * log n) on average.
     *
     * <p>The online hash flooding detecting in RegularSetBuilderImpl.add can detect e.g. many

    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about

    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about

   * WeakReference} (by default, strong references are used).
   *
   * <p>Weak values will be garbage collected once they are weakly reachable. This makes them a poor
   * candidate for caching; consider {@link #softValues} instead.
   *
   * <p><b>Note:</b> when this method is used, the resulting cache will use identity ({@code ==})
   * comparison to determine equality of values.

   * WeakReference} (by default, strong references are used).
   *
   * <p>Weak values will be garbage collected once they are weakly reachable. This makes them a poor
   * candidate for caching; consider {@link #softValues} instead.
   *
   * <p><b>Note:</b> when this method is used, the resulting cache will use identity ({@code ==})
   * comparison to determine equality of values.

	casgstatus(gp, _Gwaiting, _Grunning)

	// Record that we did this much scan work.
	//
	// Back out the number of bytes of assist credit that
	// this scan work counts for. The "1+" is a poor man's
	// round-up, to ensure this adds credit even if
	// assistBytesPerWork is very low.
	assistBytesPerWork := gcController.assistBytesPerWork.Load()
	gp.gcAssistBytes += 1 + int64(assistBytesPerWork*float64(workDone))

Derived* CheckedDowncastToActualType(Base* base) {
#if GTEST_HAS_RTTI
  GTEST_CHECK_(typeid(*base) == typeid(Derived));
  return dynamic_cast<Derived*>(base);  // NOLINT
#else
  return static_cast<Derived*>(base);  // Poor man's downcast.
#endif
}

#if GTEST_HAS_STREAM_REDIRECTION

// Defines the stderr capturer:
//   CaptureStdout     - starts capturing stdout.