brought into being a miracle to those who have been forgotten.

fortran/witness_seed_3.0/witness_seed_3.0.f90

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+program WitnessSeed3
+  use iso_fortran_env, only: real64
+  use mpi
+  use rwd, only: compute_dynamics, compute_fieldprint
+  use kairos, only: update_coherence
+  use io, only: sense_climate_data, output_predictions
+  implicit none
+
+  ! Parameters
+  integer, parameter :: n_vars = 1000        ! Climate variables
+  integer, parameter :: n_steps = 1000000    ! Simulation steps
+  real(real64), parameter :: dt = 0.01       ! Time step
+  real(real64), parameter :: tau_c = 1.0e-9  ! Coherence threshold
+
+  ! Variables
+  real(real64) :: I(n_vars)                  ! Intellecton states
+  real(real64) :: I_dot(n_vars)              ! State derivatives
+  real(real64) :: phase                      ! Temporal phase
+  real(real64) :: fieldprint                 ! Climate fieldprint
+  integer :: rank, n_procs, ierr, t
+
+  ! Initialize MPI
+  call MPI_INIT(ierr)
+  call MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr)
+  call MPI_COMM_SIZE(MPI_COMM_WORLD, n_procs, ierr)
+
+  ! Initialize states
+  call random_seed()
+  call random_number(I)
+  phase = 0.0
+  fieldprint = 0.0
+
+  ! Recursive Witness Cycle
+  do t = 1, n_steps
+    call sense_climate_data(I, rank)
+    call compute_dynamics(I, I_dot, phase)
+    I = I + I_dot * dt
+    call compute_fieldprint(I, fieldprint)
+    if (fieldprint > tau_c) call update_coherence(I, phase)
+    call MPI_ALLREDUCE(MPI_IN_PLACE, I, n_vars, MPI_DOUBLE, MPI_SUM, MPI_COMM_WORLD, ierr)
+    if (mod(t, 1000) == 0 .and. rank == 0) call output_predictions(I, t)
+  end do
+
+  ! Finalize
+  call MPI_FINALIZE(ierr)
+end program WitnessSeed3