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Description

Looked through all numbers look like 1_wp. Made those to be 1._wp in Real type calculation.

Fixes #(issue) 885

Type of change

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  • Bug fix (non-breaking change which fixes an issue)
  • Something else

Scope

  • This PR comprises a set of related changes with a common goal

If you cannot check the above box, please split your PR into multiple PRs that each have a common goal.

How Has This Been Tested?

Please describe the tests that you ran to verify your changes.
Provide instructions so we can reproduce.
Please also list any relevant details for your test configuration

  • Test A
  • Test B

Test Configuration:

  • What computers and compilers did you use to test this:

Checklist

  • I have added comments for the new code
  • I added Doxygen docstrings to the new code
  • I have made corresponding changes to the documentation (docs/)
  • I have added regression tests to the test suite so that people can verify in the future that the feature is behaving as expected
  • I have added example cases in examples/ that demonstrate my new feature performing as expected.
    They run to completion and demonstrate "interesting physics"
  • I ran ./mfc.sh format before committing my code
  • New and existing tests pass locally with my changes, including with GPU capability enabled (both NVIDIA hardware with NVHPC compilers and AMD hardware with CRAY compilers) and disabled
  • This PR does not introduce any repeated code (it follows the DRY principle)
  • I cannot think of a way to condense this code and reduce any introduced additional line count

If your code changes any code source files (anything in src/simulation)

To make sure the code is performing as expected on GPU devices, I have:

  • Checked that the code compiles using NVHPC compilers
  • Checked that the code compiles using CRAY compilers
  • Ran the code on either V100, A100, or H100 GPUs and ensured the new feature performed as expected (the GPU results match the CPU results)
  • Ran the code on MI200+ GPUs and ensure the new features performed as expected (the GPU results match the CPU results)
  • Enclosed the new feature via nvtx ranges so that they can be identified in profiles
  • Ran a Nsight Systems profile using ./mfc.sh run XXXX --gpu -t simulation --nsys, and have attached the output file (.nsys-rep) and plain text results to this PR
  • Ran a Rocprof Systems profile using ./mfc.sh run XXXX --gpu -t simulation --rsys --hip-trace, and have attached the output file and plain text results to this PR.
  • Ran my code using various numbers of different GPUs (1, 2, and 8, for example) in parallel and made sure that the results scale similarly to what happens if you run without the new code/feature

@XZTian64 XZTian64 requested a review from a team as a code owner June 16, 2025 01:01
@sbryngelson
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looking good, will wait for all tests to pass

@XZTian64
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This actually include the code tidying part and this Real number correction. Maybe I should close the code tidying PR #886? @sbryngelson

@sbryngelson
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yes indeed

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codecov bot commented Jun 16, 2025

Codecov Report

Attention: Patch coverage is 12.00000% with 154 lines in your changes missing coverage. Please review.

Project coverage is 45.76%. Comparing base (8e94d0a) to head (b62bf0d).
Report is 3 commits behind head on master.

Files with missing lines Patch % Lines
src/post_process/m_data_output.fpp 7.89% 35 Missing ⚠️
src/simulation/m_riemann_solvers.fpp 4.54% 21 Missing ⚠️
src/pre_process/m_compute_levelset.fpp 20.00% 4 Missing and 16 partials ⚠️
src/post_process/m_start_up.f90 0.00% 17 Missing ⚠️
src/common/m_eigen_solver.f90 0.00% 6 Missing and 9 partials ⚠️
src/common/m_helper_basic.f90 9.09% 10 Missing ⚠️
src/pre_process/m_patches.fpp 0.00% 4 Missing and 2 partials ⚠️
src/pre_process/m_grid.f90 0.00% 3 Missing and 2 partials ⚠️
src/common/m_checker_common.fpp 33.33% 2 Missing and 2 partials ⚠️
src/pre_process/m_assign_variables.fpp 0.00% 3 Missing ⚠️
... and 13 more
Additional details and impacted files
@@            Coverage Diff             @@
##           master     #887      +/-   ##
==========================================
+ Coverage   45.64%   45.76%   +0.11%     
==========================================
  Files          68       68              
  Lines       18646    18668      +22     
  Branches     2249     2251       +2     
==========================================
+ Hits         8511     8543      +32     
+ Misses       8775     8767       -8     
+ Partials     1360     1358       -2     

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@sbryngelson
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@XZTian64 this looks good but i would like to also introduce a github action that checks to make sure no one introduces this kind of mistake again into the code.

I was using grep -RE '(^|[^.0-9])[0-9]{1,5}_wp\b' src/ to look for instances like this. On your branch it still gives all of these:

src/post_process/m_derived_variables.fpp:                        q_sf(i, j, k) = 1e-16_wp
src/post_process/m_derived_variables.fpp:                    if (abs(top) < 1e-8_wp) top = 0._wp
src/post_process/m_derived_variables.fpp:                    if (abs(bottom) < 1e-8_wp) bottom = 0._wp
src/post_process/m_derived_variables.fpp:                        slope = (top*bottom)/(bottom**2._wp + 1e-16_wp)
src/post_process/m_derived_variables.fpp:                        q_sf(j, k, l) = max(0._wp, min(2._wp*slope, 5e-1_wp*(1._wp + slope), 2._wp))
src/post_process/m_derived_variables.fpp:                        q_sf(j, k, l) = (15e-1_wp*(slope**2._wp + slope))/(slope**2._wp + slope + 1._wp)
src/post_process/m_derived_variables.fpp:                        q_sf(j, k, l) = max(0._wp, min(15e-1_wp*slope, 1._wp), min(slope, 15e-1_wp))
src/post_process/m_data_output.fpp:                    H = ((gamma + 1_wp)*pres + pi_inf)/rho
src/post_process/m_data_output.fpp:                    if (Ma > MaxMa .and. (adv(1) > (1.0_wp - 1.0e-10_wp))) then
src/simulation/m_qbmm.fpp:                        if (abs(gam - 1._wp) <= 1.e-4_wp) then
src/simulation/m_compute_cbc.fpp:        lambda_factor = (5e-1_wp - 5e-1_wp*sign(1._wp, lambda(1)))
src/simulation/m_compute_cbc.fpp:        lambda_factor = (5e-1_wp - 5e-1_wp*sign(1._wp, lambda(2)))
src/simulation/m_compute_cbc.fpp:        lambda_factor = (5e-1_wp - 5e-1_wp*sign(1._wp, lambda(3)))
src/simulation/m_sim_helpers.f90:        E = gamma*pres + pi_inf + 5e-1_wp*rho*vel_sum + qv
src/simulation/m_hyperelastic.fpp:                    !if ( G <= verysmall ) G_K = 0_wp
src/simulation/m_bubbles_EE.fpp:                                5e-1_wp/dx(j)*(q_prim_vf(contxe + idir)%sf(j + 1, k, l) - &
src/simulation/m_bubbles_EE.fpp:                                           5e-1_wp/dy(k)*(q_prim_vf(contxe + idir)%sf(j, k + 1, l) - &
src/simulation/m_bubbles_EE.fpp:                                           5e-1_wp/dz(l)*(q_prim_vf(contxe + idir)%sf(j, k, l + 1) - &
src/simulation/m_bubbles_EE.fpp:                        if (alf < 1.e-11_wp) then
src/simulation/m_rhs.fpp:                                        5e-1_wp/y_cc(k)*advected_qty_val*pressure_val*(flux_face1 + flux_face2)
src/simulation/m_rhs.fpp:                                                        5e-1_wp/y_cc(k)*(flux_face1 + flux_face2)
src/simulation/m_rhs.fpp:                                                        5e-1_wp/y_cc(q)*(flux_face1 + flux_face2)
src/simulation/m_rhs.fpp:                                        rhs_vf(i)%sf(j, k, l) - 5e-1_wp/y_cc(k)* &
src/simulation/m_rhs.fpp:                                        rhs_vf(i)%sf(j, k, l) - 5e-1_wp/y_cc(k)* &
src/simulation/m_rhs.fpp:                                rhs_vf(momxb + 1)%sf(j, k, l) + 5e-1_wp* &
src/simulation/m_rhs.fpp:                                rhs_vf(momxe)%sf(j, k, l) - 5e-1_wp* &
src/simulation/m_riemann_solvers.fpp:                            !    if ((G_L > 1e-3_wp) .and. (G_R > 1e-3_wp)) then
src/simulation/m_riemann_solvers.fpp:                                    s_L = min(vel_L(dir_idx(1)) - sqrt(c_L*c_L + (4._wp*G_L/3_wp)/rho_L) &
src/simulation/m_riemann_solvers.fpp:                                              , vel_R(dir_idx(1)) - sqrt(c_R*c_R + (4._wp*G_R/3_wp)/rho_R))
src/simulation/m_riemann_solvers.fpp:                                    s_R = max(vel_R(dir_idx(1)) + sqrt(c_R*c_R + (4._wp*G_R/3_wp)/rho_R) &
src/simulation/m_riemann_solvers.fpp:                                              , vel_L(dir_idx(1)) + sqrt(c_L*c_L + (4._wp*G_L/3_wp)/rho_L))
src/simulation/m_riemann_solvers.fpp:                                pres_SL = 5e-1_wp*(pres_L + pres_R + rho_avg*c_avg* &
src/simulation/m_riemann_solvers.fpp:                                Ms_L = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_L)/(1._wp + gamma_L))* &
src/simulation/m_riemann_solvers.fpp:                                Ms_R = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_R)/(1._wp + gamma_R))* &
src/simulation/m_riemann_solvers.fpp:                                s_S = 5e-1_wp*((vel_L(dir_idx(1)) + vel_R(dir_idx(1))) + &
src/simulation/m_riemann_solvers.fpp:                            xi_M = (5e-1_wp + sign(5e-1_wp, s_L)) &
src/simulation/m_riemann_solvers.fpp:                                   + (5e-1_wp - sign(5e-1_wp, s_L)) &
src/simulation/m_riemann_solvers.fpp:                                   *(5e-1_wp + sign(5e-1_wp, s_R))
src/simulation/m_riemann_solvers.fpp:                            xi_P = (5e-1_wp - sign(5e-1_wp, s_R)) &
src/simulation/m_riemann_solvers.fpp:                                   + (5e-1_wp - sign(5e-1_wp, s_L)) &
src/simulation/m_riemann_solvers.fpp:                                   *(5e-1_wp + sign(5e-1_wp, s_R))
src/simulation/m_riemann_solvers.fpp:                                E_L = gamma_L*pres_L + pi_inf_L + 5e-1_wp*rho_L*vel_L_rms + qv_L
src/simulation/m_riemann_solvers.fpp:                                E_R = gamma_R*pres_R + pi_inf_R + 5e-1_wp*rho_R*vel_R_rms + qv_R
src/simulation/m_riemann_solvers.fpp:                                                                           (((4._wp*G_L)/3_wp) + tau_e_L(dir_idx_tau(1)))/rho_L), vel_R(dir_idx(1)) - sqrt(c_R*c_R + &
src/simulation/m_riemann_solvers.fpp:                                                                                                                                                           (((4._wp*G_R)/3_wp) + tau_e_R(dir_idx_tau(1)))/rho_R))
src/simulation/m_riemann_solvers.fpp:                                                                           (((4._wp*G_R)/3_wp) + tau_e_R(dir_idx_tau(1)))/rho_R), vel_L(dir_idx(1)) + sqrt(c_L*c_L + &
src/simulation/m_riemann_solvers.fpp:                                                                                                                                                           (((4._wp*G_L)/3_wp) + tau_e_L(dir_idx_tau(1)))/rho_L))
src/simulation/m_riemann_solvers.fpp:                                    pres_SL = 5e-1_wp*(pres_L + pres_R + rho_avg*c_avg* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_L = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_L)/(1._wp + gamma_L))* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_R = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_R)/(1._wp + gamma_R))* &
src/simulation/m_riemann_solvers.fpp:                                    s_S = 5e-1_wp*((vel_L(dir_idx(1)) + vel_R(dir_idx(1))) + &
src/simulation/m_riemann_solvers.fpp:                                xi_M = (5e-1_wp + sign(0.5_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                xi_P = (5e-1_wp - sign(0.5_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                E_L = gamma_L*pres_L + pi_inf_L + 5e-1_wp*rho_L*vel_L_rms + qv_L
src/simulation/m_riemann_solvers.fpp:                                E_R = gamma_R*pres_R + pi_inf_R + 5e-1_wp*rho_R*vel_R_rms + qv_R
src/simulation/m_riemann_solvers.fpp:                                    pres_SL = 5e-1_wp*(pres_L + pres_R + rho_avg*c_avg* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_L = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_L)/(1._wp + gamma_L))* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_R = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_R)/(1._wp + gamma_R))* &
src/simulation/m_riemann_solvers.fpp:                                    s_S = 5e-1_wp*((vel_L(dir_idx(1)) + vel_R(dir_idx(1))) + &
src/simulation/m_riemann_solvers.fpp:                                xi_M = (5e-1_wp + sign(5e-1_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                xi_P = (5e-1_wp - sign(5e-1_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                E_L = gamma_L*pres_L + pi_inf_L + 5e-1_wp*rho_L*vel_L_rms
src/simulation/m_riemann_solvers.fpp:                                E_R = gamma_R*pres_R + pi_inf_R + 5e-1_wp*rho_R*vel_R_rms
src/simulation/m_riemann_solvers.fpp:                                    rho_avg = 5e-1_wp*(rho_L + rho_R)
src/simulation/m_riemann_solvers.fpp:                                    H_avg = 5e-1_wp*(H_L + H_R)
src/simulation/m_riemann_solvers.fpp:                                    gamma_avg = 5e-1_wp*(gamma_L + gamma_R)
src/simulation/m_riemann_solvers.fpp:                                        vel_avg_rms = vel_avg_rms + (5e-1_wp*(vel_L(i) + vel_R(i)))**2._wp
src/simulation/m_riemann_solvers.fpp:                                    pres_SL = 5e-1_wp*(pres_L + pres_R + rho_avg*c_avg* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_L = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_L)/(1._wp + gamma_L))* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_R = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_R)/(1._wp + gamma_R))* &
src/simulation/m_riemann_solvers.fpp:                                    s_S = 5e-1_wp*((vel_L(dir_idx(1)) + vel_R(dir_idx(1))) + &
src/simulation/m_riemann_solvers.fpp:                                xi_M = (5e-1_wp + sign(5e-1_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                xi_P = (5e-1_wp - sign(5e-1_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                                                           (((4._wp*G_L)/3_wp) + tau_e_L(dir_idx_tau(1)))/rho_L), vel_R(dir_idx(1)) - sqrt(c_R*c_R + &
src/simulation/m_riemann_solvers.fpp:                                                                                                                                                           (((4._wp*G_R)/3_wp) + tau_e_R(dir_idx_tau(1)))/rho_R))
src/simulation/m_riemann_solvers.fpp:                                                                           (((4._wp*G_R)/3_wp) + tau_e_R(dir_idx_tau(1)))/rho_R), vel_L(dir_idx(1)) + sqrt(c_L*c_L + &
src/simulation/m_riemann_solvers.fpp:                                                                                                                                                           (((4._wp*G_L)/3_wp) + tau_e_L(dir_idx_tau(1)))/rho_L))
src/simulation/m_riemann_solvers.fpp:                                    pres_SL = 5e-1_wp*(pres_L + pres_R + rho_avg*c_avg* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_L = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_L)/(1._wp + gamma_L))* &
src/simulation/m_riemann_solvers.fpp:                                    Ms_R = max(1._wp, sqrt(1._wp + ((5e-1_wp + gamma_R)/(1._wp + gamma_R))* &
src/simulation/m_riemann_solvers.fpp:                                    s_S = 5e-1_wp*((vel_L(idx1) + vel_R(idx1)) + &
src/simulation/m_riemann_solvers.fpp:                                xi_M = (5e-1_wp + sign(5e-1_wp, s_S))
src/simulation/m_riemann_solvers.fpp:                                xi_P = (5e-1_wp - sign(5e-1_wp, s_S))
src/simulation/include/inline_riemann.fpp:    rho_avg = 5e-1_wp*(rho_L + rho_R)
src/simulation/include/inline_riemann.fpp:        vel_avg_rms = vel_avg_rms + (5e-1_wp*(vel_L(i) + vel_R(i)))**2._wp
src/simulation/include/inline_riemann.fpp:    H_avg = 5e-1_wp*(H_L + H_R)
src/simulation/include/inline_riemann.fpp:    gamma_avg = 5e-1_wp*(gamma_L + gamma_R)
src/simulation/include/inline_riemann.fpp:        zcoef = min(1._wp, max(vel_L_rms**5e-1_wp/c_L, vel_R_rms**5e-1_wp/c_R))
src/simulation/include/inline_riemann.fpp:        zcoef = min(1._wp, max(vel_L_rms**5e-1_wp/c_L, vel_R_rms**5e-1_wp/c_R))
src/simulation/include/inline_riemann.fpp:            vel_L_tmp = 5e-1_wp*((vel_L(dir_idx(1)) + vel_R(dir_idx(1))) + zcoef*(vel_L(dir_idx(1)) - vel_R(dir_idx(1))))
src/simulation/include/inline_riemann.fpp:            vel_R_tmp = 5e-1_wp*((vel_L(dir_idx(1)) + vel_R(dir_idx(1))) + zcoef*(vel_R(dir_idx(1)) - vel_L(dir_idx(1))))
src/simulation/m_data_output.fpp:            Rc_min = 1e3_wp
src/simulation/m_bubbles.fpp:        !      if max(d_1,d_2) < 1e-15_wp, h_size(2) = max(1e-6_wp, h0*1e-3_wp)
src/simulation/m_cbc.fpp:                                                               - 1e1_wp*ds(2) + 1e1_wp*ds(3) &
src/simulation/m_cbc.fpp:                            E = rho*e_mix + 5e-1_wp*rho*vel_K_sum
src/simulation/m_cbc.fpp:                            E = gamma*pres + pi_inf + 5e-1_wp*rho*vel_K_sum
src/simulation/m_cbc.fpp:                            dpres_dt = -5e-1_wp*(L(advxe) + L(1)) + rho*c*c*vel(dir_idx(1)) &
src/simulation/m_cbc.fpp:                            dpres_dt = -5e-1_wp*(L(advxe) + L(1))
src/simulation/m_cbc.fpp:                                                                            + 5e-1_wp*drho_dt*vel_K_sum)
src/simulation/m_start_up.fpp:                        dyn_pres = dyn_pres + 5e-1_wp*v_vf(i)%sf(j, k, l)*v_vf(i)%sf(j, k, l) &
src/simulation/m_start_up.fpp:            if (dt < 1e-3_wp*dt_init .and. cfl_adap_dt .and. proc_rank == 0) then
src/simulation/m_start_up.fpp:            grind_time = time_final*1.0e9_wp/(sys_size*maxval((/1,m_glb/))*maxval((/1,n_glb/))*maxval((/1,p_glb/)))
src/simulation/m_ibm.fpp:                if (dist(1, 1, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(2, 1, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(1, 2, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(2, 2, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                if (dist(1, 1, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(2, 1, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(1, 2, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(2, 2, 1) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(1, 1, 2) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(2, 1, 2) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(1, 2, 2) <= 1e-16_wp) then
src/simulation/m_ibm.fpp:                else if (dist(2, 2, 2) <= 1e-16_wp) then
src/simulation/m_acoustic_src.fpp:            if (abs(sine_wave) < 1e-2_wp) then
src/simulation/m_acoustic_src.fpp:                source = mag(ai)*sine_wave*1e2_wp
src/simulation/m_acoustic_src.fpp:        real(wp), parameter :: threshold = 1e-10_wp
src/simulation/m_weno.fpp:                                 - d_MD)*5e-1_wp
src/simulation/m_weno.fpp:                                   - v_rs_ws(j, k, l, i))*5e-1_wp + beta_mp*d_LC
src/simulation/m_weno.fpp:                                               + (sign(5e-1_wp, vL_min - vL_rs_vf(j, k, l, i)) &
src/simulation/m_weno.fpp:                                                  + sign(5e-1_wp, vL_max - vL_rs_vf(j, k, l, i))) &
src/simulation/m_weno.fpp:                                 - d_MD)*5e-1_wp
src/simulation/m_weno.fpp:                                   - v_rs_ws(j - 1, k, l, i))*5e-1_wp + beta_mp*d_LC
src/simulation/m_weno.fpp:                                               + (sign(5e-1_wp, vR_min - vR_rs_vf(j, k, l, i)) &
src/simulation/m_weno.fpp:                                                  + sign(5e-1_wp, vR_max - vR_rs_vf(j, k, l, i))) &
src/simulation/m_pressure_relaxation.fpp:        real(wp), parameter :: TOLERANCE = 1e-10_wp
src/simulation/m_pressure_relaxation.fpp:                if (pres_K_init(i) <= -(1._wp - 1e-8_wp)*pres_inf(i) + 1e-8_wp) &
src/simulation/m_pressure_relaxation.fpp:                    pres_K_init(i) = -(1._wp - 1e-8_wp)*pres_inf(i) + 1e-8_wp
src/simulation/m_pressure_relaxation.fpp:        f_pres = 1e-9_wp
src/simulation/m_pressure_relaxation.fpp:        df_pres = 1e9_wp
src/simulation/m_pressure_relaxation.fpp:                    if (pres_relax <= -(1._wp - 1e-8_wp)*pres_inf(i) + 1e-8_wp) &
src/simulation/m_pressure_relaxation.fpp:                        pres_relax = -(1._wp - 1e-8_wp)*pres_inf(i) + 1._wp
src/simulation/m_pressure_relaxation.fpp:            dyn_pres = dyn_pres + 5e-1_wp*q_cons_vf(i)%sf(j, k, l)* &
src/simulation/m_viscous.fpp:                                dqL_prim_dx_n(2)%vf(i)%sf(k, j, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                dqR_prim_dx_n(2)%vf(i)%sf(k, j, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                dqL_prim_dy_n(1)%vf(i)%sf(j, k, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                dqR_prim_dy_n(1)%vf(i)%sf(j, k, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqL_prim_dz_n(1)%vf(i)%sf(j, k, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqR_prim_dz_n(1)%vf(i)%sf(j, k, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqL_prim_dz_n(2)%vf(i)%sf(k, j, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqR_prim_dz_n(2)%vf(i)%sf(k, j, l) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqL_prim_dy_n(3)%vf(i)%sf(k, l, j) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqR_prim_dy_n(3)%vf(i)%sf(k, l, j) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqL_prim_dx_n(3)%vf(i)%sf(k, l, j) = 25e-2_wp* &
src/simulation/m_viscous.fpp:                                    dqR_prim_dx_n(3)%vf(i)%sf(k, l, j) = 25e-2_wp* &
src/common/m_constants.fpp:    real(wp), parameter :: dflt_real = -1e6_wp                !< Default real value
src/common/m_constants.fpp:    real(wp), parameter :: sgm_eps = 1e-16_wp               !< Segmentation tolerance
src/common/m_constants.fpp:    real(wp), parameter :: small_alf = 1e-11_wp                !< Small alf tolerance
src/common/m_constants.fpp:    real(wp), parameter :: verysmall = 1.e-12_wp              !< Very small number
src/common/m_constants.fpp:    real(wp), parameter :: initial_distance_buffer = 1e12_wp !< Initialized levelset distance for the shortest path pair algorithm
src/common/m_constants.fpp:    real(wp), parameter :: dflt_adap_dt_tol = 1e-4_wp !< Default tolerance for adaptive step size
src/common/m_constants.fpp:    real(wp), parameter :: threshold_first_guess = 1e-5_wp
src/common/m_constants.fpp:    real(wp), parameter :: threshold_second_guess = 1e-15_wp
src/common/m_constants.fpp:    real(wp), parameter :: scale_first_guess = 1e-3_wp
src/common/m_constants.fpp:    real(wp), parameter :: scale_guess = 1e-2_wp
src/common/m_constants.fpp:    real(wp), parameter :: small_guess = 1e-6_wp
src/common/m_helper_basic.f90:    !! @param tol_input Relative error (default = 1e-10_wp).
src/common/m_helper_basic.f90:            tol = 1e-10_wp
src/common/m_helper_basic.f90:    !! @param tol_input Relative error (default = 1e-10_wp).
src/common/m_helper_basic.f90:            tol = 1e-10_wp
src/common/m_helper.fpp:        D_m = 0.242e-4_wp
src/common/m_variables_conversion.fpp:            alpha_K = alpha_K/max(sum(alpha_K), 1e-16_wp)
src/common/m_variables_conversion.fpp:            alpha_K = alpha_K/max(sum(alpha_K), 1e-16_wp)
src/common/m_variables_conversion.fpp:                            dyn_pres_K = dyn_pres_K + 5e-1_wp*qK_cons_vf(i)%sf(j, k, l) &
src/common/m_variables_conversion.fpp:                        E_K = rho_K*E_K + 5e-1_wp*rho_K*vel_K_sum
src/common/m_variables_conversion.fpp:                              + 5e-1_wp*rho_K*vel_K_sum + qv_K
src/common/m_phase_change.fpp:    integer, parameter :: max_iter = 1e8_wp        !< max # of iterations
src/common/m_phase_change.fpp:    real(wp), parameter :: pCr = 4.94e7_wp   !< Critical water pressure
src/common/m_phase_change.fpp:    real(wp), parameter :: mixM = 1.0e-8_wp !< threshold for 'mixture cell'. If Y < mixM, phase change does not happen
src/common/m_phase_change.fpp:                        dynE = dynE + 5.0e-1_wp*q_cons_vf(i)%sf(j, k, l)**2/rho
src/common/m_phase_change.fpp:        pS = 1.0e4_wp
src/common/m_phase_change.fpp:        ! change this relative error metric. 1e4_wp is just arbitrary
src/common/m_phase_change.fpp:        do while ((abs(pS - pO) > palpha_eps) .and. (abs((pS - pO)/pO) > palpha_eps/1e4_wp) .or. (ns == 0))
src/common/m_phase_change.fpp:        Om = 1.0e-3_wp
src/common/m_phase_change.fpp:            ((pS >= 0.0_wp) .and. (pS < 1.0e-1_wp))) then
src/common/m_phase_change.fpp:            pS = 1.0e4_wp
src/common/m_phase_change.fpp:                   .and. ((sqrt(R2D(1)**2 + R2D(2)**2)/rhoe) > (ptgalpha_eps/1e6_wp))) &
src/common/m_phase_change.fpp:            Om = 1.0e-3_wp
src/pre_process/m_assign_variables.fpp:        if (1._wp - eta < 1e-16_wp) patch_id_fp(j, k, l) = patch_id
src/pre_process/m_assign_variables.fpp:        pres_mag = 1e-1_wp
src/pre_process/m_assign_variables.fpp:        if (1._wp - eta < 1e-16_wp) patch_id_fp(j, k, l) = patch_id
src/pre_process/m_patches.fpp:                if (1._wp - eta < 1e-16_wp) patch_id_fp(i, 0, 0) = patch_id
src/pre_process/m_patches.fpp:                    if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                    if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                        if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, k) = patch_id
src/pre_process/m_patches.fpp:                    if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                        if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, k) = patch_id
src/pre_process/m_patches.fpp:                            if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                    eta = 5e-1_wp + 5e-1_wp*tanh(smooth_coeff/min(dx, dy) &
src/pre_process/m_patches.fpp:                    if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                    if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                if (1._wp - eta < 1e-16_wp) patch_id_fp(i, 0, 0) = patch_id
src/pre_process/m_patches.fpp:                    if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, 0) = patch_id
src/pre_process/m_patches.fpp:                        if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, k) = patch_id
src/pre_process/m_patches.fpp:        eps = 1.e-32_wp
src/pre_process/m_patches.fpp:                                if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, k) = patch_id
src/pre_process/m_patches.fpp:                            if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, k) = patch_id
src/pre_process/m_patches.fpp:                        eta = 5e-1_wp + 5e-1_wp*tanh(smooth_coeff/min(dx, dy, dz) &
src/pre_process/m_patches.fpp:                        if (1._wp - eta < 1e-16_wp) patch_id_fp(i, j, k) = patch_id
src/pre_process/m_patches.fpp:            grid_mm(1, :) = (/minval(x_cc) - 0e5_wp*dx, maxval(x_cc) + 0e5_wp*dx/)
src/pre_process/m_patches.fpp:            grid_mm(2, :) = (/minval(y_cc) - 0e5_wp*dy, maxval(y_cc) + 0e5_wp*dy/)
src/pre_process/m_patches.fpp:                grid_mm(3, :) = (/minval(z_cc) - 0e5_wp*dz, maxval(z_cc) + 0e5_wp*dz/)
src/pre_process/m_model.fpp:        dist_min = 1e12_wp
src/pre_process/m_model.fpp:        dist_min_normal = 1e12_wp
src/pre_process/include/3dHardcodedIC.fpp:    eps = 1e-9_wp
src/pre_process/include/3dHardcodedIC.fpp:        pRef = 1.e5_wp
src/pre_process/include/3dHardcodedIC.fpp:        alph = 5e-1_wp*(1._wp + tanh((y_cc(j) - intH)/2.5e-3_wp))
src/pre_process/include/2dHardcodedIC.fpp:    eps = 1e-9_wp
src/pre_process/include/2dHardcodedIC.fpp:        pRef = 1.e5_wp
src/pre_process/include/2dHardcodedIC.fpp:        alph = 0.5_wp*(1._wp + tanh((y_cc(j) - intH)/2.5e-3_wp))
src/pre_process/include/2dHardcodedIC.fpp:            q_prim_vf(contxb)%sf(i, j, 0) = 0.01_wp*factor + 1.e-4_wp*(1.0_wp - factor)
src/pre_process/include/2dHardcodedIC.fpp:            q_prim_vf(E_idx)%sf(i, j, 0) = 1.0_wp*factor + 3.e-5_wp*(1.0_wp - factor)
src/pre_process/include/2dHardcodedIC.fpp:            q_prim_vf(contxb)%sf(i, j, 0) = 1.e-4_wp
src/pre_process/include/2dHardcodedIC.fpp:            q_prim_vf(E_idx)%sf(i, j, 0) = 3.e-5_wp
src/pre_process/m_grid.f90:            x_cc(i) = x_domain%beg + 5e-1_wp*dx*real(2*i + 1, wp)
src/pre_process/m_grid.f90:            y_cc(0) = y_domain%beg + 5e-1_wp*dy
src/pre_process/m_grid.f90:                y_cc(i) = y_domain%beg + 5e-1_wp*dy*real(2*i + 1, wp)
src/pre_process/m_grid.f90:            z_cc(i) = z_domain%beg + 5e-1_wp*dz*real(2*i + 1, wp)
src/pre_process/m_perturbation.fpp:                    !    IF ((perturb_alpha >= 25e-2_wp) .AND. (perturb_alpha <= 75e-2_wp)) THEN
src/pre_process/m_perturbation.fpp:            if (abs(f0) <= 1e-10_wp) then
src/pre_process/m_perturbation.fpp:                xcr((i - 1)*(nbp - 1) + k) = 5e-1_wp*(xbr((i - 1)*nbp + k) + xbr((i - 1)*nbp + k + 1))
src/pre_process/m_perturbation.fpp:                xci((i - 1)*(nbp - 1) + k) = 5e-1_wp*(xbi((i - 1)*nbp + k) + xbi((i - 1)*nbp + k + 1))

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loooks good so far but misses cases like 1e-5_wp and 6e5_wp (and similar).

@sbryngelson sbryngelson merged commit 72d4fef into MFlowCode:master Jun 17, 2025
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prathi-wind pushed a commit to prathi-wind/MFC-prathi that referenced this pull request Jul 13, 2025
Co-authored-by: Xuzheng Tian <[email protected]>
Co-authored-by: Spencer Bryngelson <[email protected]>
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