CONTENTS
All test cases are available for downloading as Unix compressed tar files containing grid, input, and auxiliary files. Note that the files for the 3D cases can be quite large.
Subsonic flow past a semi-infinite flat plate is modeled at Reynolds number 6 million per unit length. Inflow is set by specifying total pressure, total temperature, and Mach number. Results using using SA, SST, and EASM-ko turbulence models (#5, #7, and #14) are compared with theoretical data found one of the standard fluid mechanics references (White, "Viscous Fluid Flow," 1974). The following figures illustrate the case:
Then type:
This will create a subdirectory "Flatplate".
| Case | Plots | Theory |
|---|---|---|
| SST, SA and EASM-ko |
Cf vs x u+ vs y+ |
Theoretical data contained within postprocessing programs |
|
FORTRAN program 1 (cf vs x) FORTRAN program 2 (u+ vs y+) |
The FORTRAN programs will extract the computed results from the printout (cfl3d.prout) and plot3d (plot3dg.bin and plot3dq.bin) files generated by CFL3D. The output files are formatted TECPLOT files, which should be easily adapted to other plotting packages as well.
FLAT PLATE WITH GRID SKEW EFFECT
Subsonic flow past a semi-infinite flat plate is modeled at Reynolds number 6 million per unit length. This is essentially the same as the previous flat plate case, except here the effect of grid skewness on the solution is demonstrated. The SA turbulence model is employed on 4 different grids with varying amounts of skewness. The following figure illustrates the case:
Then type:
This will create a subdirectory "Flatplateskew".
(Note: each run should be done independently, i.e., finish one before starting another if running in the same directory, and remember to save results between each run as needed.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| Normal grid | 1 | 13 min | 13.9 MB |
cfl3d.res plot |
July 21 04 | Linux Workstation6 |
| 15-deg skew grid | 1 | 13 min | 13.9 MB |
cfl3d.res plot |
July 21 04 | Linux Workstation6 |
| 30-deg skew grid | 1 | 13 min | 13.9 MB |
cfl3d.res plot |
July 21 04 | Linux Workstation6 |
| 45-deg skew grid | 1 | 13 min | 13.9 MB |
cfl3d.res plot |
July 21 04 | Linux Workstation6 |
Comparative results are shown in terms of skin friction coefficient, velocity profile, and drag coefficient. It is shown that there is some impact from skewed grids, but the influence is very small (up to 45-deg skew). The drag coefficient plot also shows the effect of grid density for this case: this integrated quantity is converging to a solution of approximately 0.003175 on an infinite grid. The spatial convergence rate is approximately 2nd order (the variation is nearly linear plotted against 1/gridpoints, which is proportional to Delta(h)2. The error from an extrapolated infinite grid is approximately 0.4% on the 65 x 97 grid, 1.8% on the 33 x 49 grid, and 6.8% on the 17 x 25 grid.
Subsonic flow past a semi-infinite flat plate is modeled at Reynolds number 6 million per unit length. This is similar to the previous two flat plate cases, except here the effect of changing the grid minimum spacing at the wall is demonstrated. The SA and SST turbulence models are employed on 6 different grids with varying minimum wall spacings (all grids are 65 x 97 in size). Unlike the previous flat plate cases, this case is also slightly different in that it (a) uses Riemann farfield-type BC at the inflow rather than setting total conditions, (b) solves using the new feature of FULL NAVIER-STOKES rather than thin-layer, and (c) uses constant temperature wall (set at the freestream total temperature), rather than using adiabatic wall.
Then type:
This will create a subdirectory "Flatplateyplus".
(Note: each run should be done independently, i.e., finish one before starting another if running in the same directory, and remember to save results between each run as needed.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| SA, y+=0.02 | 1 | 6 min | 13.9 MB |
cfl3d.res plot |
Feb 28 07 | Linux Workstation7 |
| SA, y+=0.23 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SA, y+=0.51 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SA, y+=1.15 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SA, y+=2.3 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SA, y+=4.6 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SST, y+=0.02 | 1 | 6 min | 13.9 MB |
cfl3d.res plot |
Feb 28 07 | Linux Workstation7 |
| SST, y+=0.23 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SST, y+=0.51 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SST, y+=1.15 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SST, y+=2.3 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
| SST, y+=4.6 | 1 | 6 min | 13.9 MB | cfl3d.res | Feb 28 07 | Linux Workstation7 |
Comparative results are shown in terms of drag coefficient and skin friction coefficient. (Recall that for the flat plate, all the drag is due to skin friction.) It is shown that the SST model is more sensitive to minimum wall grid spacing on a given grid size than the SA model (this is a well-known result; see, e.g., Bardina et al, NASA TM-110446, 1997). This greater sensitivity is likely related to the particular implementation of the wall boundary condition on omega. Currently, CFL3D uses the same approximate omega boundary condition as Bardina et al., as recommended by Menter (NASA TM 103975, 1992). Generally, when running turbulent computations, it is preferable to have a grid with minimum y+ spacing of no more than approximately 1 at walls. For the SA model for this case, the drag on the grid with y+ of about 1.15 is different from the result on the y+=0.02 grid by less than 1%. For the SST model, the difference is about 3.8%.
Further insight can be obtained by looking at the results not only on the finest grids (65 x 97), but also from the coarser grid levels. These results were obtained during the mesh sequencing operation during the run. Figures are shown in terms of 3-grid drag coefficient for SA and 3-grid drag coefficient for SST.
For SA, the drag coefficient generally decreases as the grid is refined (as 1/grdpts approaches 0). The lowest slope for this decrease occurs for the family of grids derived from the fine grid with y+=0.02, but there is not much difference between the three families of grids: y+=0.02, 0.23, and 0.51. For the family of grids with larger y+, the variation is greater (although all grid families tend toward the same answer on an infinitely refined grid). This SA result is a demonstration that supports the commonly held truism that one should use grids with y+ levels less than 1 (unless employing wall functions). Such a use will yield greater accuracy (in skin friction) on a given grid level. Note, however, that when these grids were created, the farfield extent of the grids was kept approximately the same. As a result, the grid stretching in the wall normal direction for each of the grids is different (approximately 1.2295, 1.18, 1.17, 1.151, 1.1377, and 1.128 for y+=0.02 through 4.6, respectively). Thus, the grid with the finest wall normal spacing also has the largest stretching factor. It is possible that very large stretching factors may negatively influence the code's accuracy, so use of y+ values that are "too small" may end up having negative consequences.
For SST, the picture is not as clear. Here, the greater sensitivity of the model to minimum y+ can be seen. (Recall that this greater sensitivity is likely due to the approximate wall boundary condition on omega.) On the 3 grids with the smallest fine-grid y+ (0.02, 0.2, and 0.51), the results generally tend toward a similar infinitely-refined result, although it appears that a finer grid level than 65 x 97 would be needed to better demonstrate asymptotic convergence. For the grids whose fine level has a y+ greater than 1, the results appear less consistent. Here it is unclear whether additional finer grid levels would yield consistent results or not. In any case, this study clearly demonstrates the need to use grids with y+ less than 1 for the SST model.
Subsonic flow past a backward-facing step is modeled. A velocity profile is specified at the inflow plane via a BC data file. This case employs patched grids that must be pre-processed with the "ronnie" grid patching code provided as part of the cfl3d package. The experimental data is taken from Driver, AIAA J., Vol 23 No 2, 1985, pp. 163-171. The following figures illustrate the case:
Then type:
This will create a subdirectory "Backstep".
| Case | Plots | Exp. data |
|---|---|---|
| SST |
Cf vs x Cp vs x |
cflower.exp.dat cplower.exp.dat |
|
FORTRAN program |
The FORTRAN programs will extract the computed results from the printout (cfl3d.prout) file generated by CFL3D. The output files are formatted TECPLOT files, which should be easily adapted to other plotting packages as well.
Transonic flow through a converging diverging diffuser is modeled. Varying the exit pressure leads to different shock positions and strengths. Two exit-static-pressure to inlet-total-pressure ratios are considered, giving a weak shock and a strong shock condition, the latter of which results in separated flow on the top wall of the diffuser. Results using the "workhorse" Spalart-Allmaras turbulence model and a non-linear k-w EASM model are plotted with the experimental data. A complete description of this case can be found in the NPARC Alliance Validation Archive. The following figures illustrate the case:
Then type:
This will create a subdirectory "Transdiff".
(Note: each run should be done independently, i.e., finish one before
starting another if running in the same directory, and remember to save
results between each run as needed.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| Weak Shock, SA | 1 | 5 min | 6.8 MB |
cfl3d.res plot |
March 21 03 | Octane25 |
| Weak Shock, EASM-ko | 1 | 5 min | 7.2 MB | cfl3d.res | March 21 03 | Octane25 |
| Strong Shock, SA | 1 | 2.3 min | 6.8 MB |
cfl3d.res plot |
September 9 03 | Linux Workstation6 |
| Strong Shock, EASM-ko | 1 | 2.5 min | 7.2 MB | cfl3d.res | September 9 03 | Linux Workstation6 |
| Case | Plots | Exp. Data |
|---|---|---|
| Weak Shock |
P vs x Velocity Profiles |
sajwpres.data sajwvel.data |
| Strong Shock |
P vs x Velocity Profiles |
sajspres.data sajsvel.data |
| FORTRAN program |
The FORTRAN program will extract the computed results from the plot3d files generated by CFL3D (with nplot3d = -1) and the experimental data files. The output is a formatted TECPLOT file, which should be easily adapted to other plotting packages as well.
Flow around an NACA airfoil section is computed using a "standard" body fitted C-grid as well as with "chimera" overset grids, using the SA turbulence model. For the overset case, the standard grid is used near the airfoil, with two nesting "box" grids providing connection to the far field. In both cases, the outer boundary is located at nominally the same distance away from the airfoil. However, the shapes of the outer boundaries differ between the two cases. Input files are provided for generating the overset connectivity data using either MAGGIE (provided as part of the CFL3D release package) of the widely-used PEGSUS code. The experimental data is taken from Coles and Wadcock, AIAA J., Vol 17 No 4, 1979, pp. 321-329. The following figures illustrate the case:
Then type:
This will create a subdirectory "NACA_4412".
file defaults: input grid files are plot3d type input grid files are unformatted output INGRID/plot3d file is unformatted do you wish to use these defaults (y/n)? (alternate options include formatted files and cfl3d-type input grid files) y choose the type of output file to create enter 0 to create an INGRID file (for PEGSUS 4.x) enter 1 to create a plot3d file (for PEGSUS 5.x) 0 enter the name of the output file to create (up to 80 char.) INGRID enter 0 to create an output file with grid points enter 1 to create an output file with augmented cell centers 1 enter 0 to preserve input-grid i,j,k index definitions in the output grid you may want this option if you have an existing PEGSUS input file that was generated for OVERFLOW Note: this will require the following translation of indicies between CFL3D and PEGSUS input files: PEGSUS CFL3D J = I K = J L = K enter 1 to swap input-grid i,j,k index definitions in the output grid Note: this will require NO translation of indicies between CFL3D and PEGSUS input files: PEGSUS CFL3D L = I J = J K = K 1 enter number of separate grid files to convert into one output file 1 enter 0 to specify a name for each mesh enter 1 to use default names (grid.n) 0 beginning processing of grid file number 1 input name of unformatted plot3d grid file to read (up to 80 characters) 4412_xmera.unf enter 0 if a single-grid plot3d file enter 1 if a multiple-grid plot3d file 1 required array sizes: maxbl = 3 lmax = 4 jmax = 226 kmax = 114 input name (up to 40 char.) for zone 1 wing reading zone 1 input dimensions 2 225 57 writing zone 1 with name wing output dimensions 226 58 4 input name (up to 40 char.) for zone 2 box1 reading zone 2 input dimensions 2 113 73 writing zone 2 with name box1 output dimensions 114 74 4 input name (up to 40 char.) for zone 3 box2 reading zone 3 input dimensions 2 49 113 writing zone 3 with name box2 output dimensions 50 114 4 conversion of grid file 1 complete conversion of all grid files completed the INGRID output file: INGRID contains (augmented) cell centers of the input grid(s) note: the mesh names in the INGRID file contain 40 characters make sure the PEGSUS parameter ICHAR is set to 40pegsus41 < peg41.inp > peg41.out XINTOUT_to_ovrlp
enter 4 if pegsus version 4.X was used enter 5 if pegsus version 5.X was used 4 enter the name of the COMPOUT file created by PEGSUS (unless you have renamed it, enter COMPOUT) COMPOUT enter 0 to leave overset data as 3d enter 1 to convert overset data to 2d (2 i-planes) 1 enter 0 to use the maggie/CFL3D-ijk index definition enter 1 to use the pegsus/OVERFLOW-jkl index definition 0 (additional output from XINTOUT_to_ovrlp is omitted... no further user input is needed)cfl3d_seq < cfl3d.inp_xmera &
| Case | Plots | Exp. Data |
|---|---|---|
| both Standard and Chimera (Pegsus) |
Cp vs x/c Velocity Profiles |
4412.cpexp 4412.velexp |
| FORTRAN program |
The FORTRAN program will extract the computed results for either the standard or chimera cases from the plot3d files generated by CFL3D (with nplot3d = -1) and the experimental data files. The output is a formatted TECPLOT file, which should be easily adapted to other plotting packages as well.
Transonic viscous flow around an RAE 2822 airfoil is modeled with Menter's SST model. This case also appears in the Version 5 Users Manual; the difference here is that sensitivity (i.e. derivatives) of the solution with respect to angle of attack are calculated along with the standard solution. Input files are provided to calculate the sensitivity in two ways: 1) via complex variables, and 2) via finite differences. See the New Features page for additional information and results. The experimental data is taken from Cook, McDonald, and Firmin, AGARD-AR-138, 1979, p. A6. The following figures illustrate the case:
Then type:
This will create a subdirectory "RAE_Sensitivity".
NOTE: As of March, 2007, the Intel Version 9 compiler has major problems with complex cases in CFL3D (the resulting executable does not work for this case). If you use Intel, consider compiling with a different version.
enter first restart file to extract history data from this should be the "+" step file restart.bin_+a enter second restart file to extract history data from this should be the "-" step file restart.bin_-a enter step size 1.e-6 finite diffs to be calculated with central diffs enter file name for output finite differences Finite_Diff_1.e-6 enter 0 to output convergence of dcy/ddv,dcmy/ddv enter 1 to output convergence of dcz/ddv,dcmz/ddv 0
| Case | No. Processors | Run Time | Memory | Convergence History | Derivative History | Test Date | Test Machine |
|---|---|---|---|---|---|---|---|
| Complex | 1 | 2 hr, 22 min | 75.2 MB |
cfl3d.res plot |
cfl3d.sd_res plot |
July 29 02 | Octane 25 |
| FD +alpha -alpha |
1 | 39 min (+a) 38 min (-a) |
37.7 MB both |
cfl3d.res_+a cfl3d.res_-a plot_+a plot_-a |
Finite_Diff_1.e-6 plot |
July 29 02 | Octane25 |
| Case | Plots | Exp. Data |
|---|---|---|
| Complex | Cp vs x/c |
2822.cpexp |
| FORTRAN program |
The FORTRAN program will extract the computed results for any of the cases from the plot3d files generated by CFL3D and the experimental data file. The output is a formatted TECPLOT file, which should be easily adapted to other plotting packages as well.
Supersonic flow over an inviscid ramp (Euler flow) is modeled. This case demonstrates the use of embedded meshes. The following figure illustrates the case:
Then type:
This will create a subdirectory "Ramp".
(Note: finish one cfl3d_seq run before starting the next.)
No comparison is made with experiment. This case is included primarily as a simple example to demonstrate the use of embedded grids.
Subsonic flow past a circular cylinder is modeled at a Reynolds number of 10,000, with the Spalart-Allmaras turbulence model employed (at this low a Re, the turbulence is primarily confined to the wake region). This case is given to demonstrate the temporal order property of the code. Using ITA = 2 or -2, CFL3D employs a 2nd order backward difference scheme. (Prior to Version 6.1, turbulence models were advanced in time with a 1st order accurate backward difference scheme regardless of the temporal order of accuracy of the mean flow equations. This lower order accuracy in the turbulence models made the code overall less than 2nd order in time. Starting in Version 6.1, the turbulence models are advanced with the same temporal accuracy as the mean flow equations so that 2nd order temporal accuracy can now be achieved for time-accurate turbulent flows.) The following figures illustrates the case:
Then type:
This will create a subdirectory "Timeaccstudy".
(Note: each cfl3d_seq run should be done sequentially, i.e., finish one before starting the next.)
The following commands run various time steps, always starting from the same restart file:
(Note: each run should be done independently, i.e., finish one before starting another if running in the same directory, and remember to save results between each run.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| initial run | 1 | 6 min | 17.5 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
| perturbation run | 1 | 3 min | 17.5 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
| run to achieve periodicity | 1 | 6 hr, 16 min | 17.8 MB |
cfl3d.res plot |
Aug 6 02 | Octane25 |
| dt=0.2 | 1 | 3 min | 17.8 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
| dt=0.1 | 1 | 6 min | 17.8 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
| dt=0.05 | 1 | 13 min | 17.8 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
| dt=0.025 | 1 | 26 min | 17.8 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
| dt=0.0125 | 1 | 49 min | 17.8 MB |
cfl3d.res |
Aug 6 02 | Octane25 |
Using lift and drag coefficients, the 2nd order temporal order
convergence rate
is shown in clerrorplot and
cderrorplot. These results
can be post-processed using the FORTRAN postprocessing program
FORTRAN program
(hardwired for use with this particular case).
Using a time step of dt=0.4 on this 129 x 81 grid (2-D), the Strouhal number St = n*d/u_inf comes out to be 0.236. (In CFL3D's nondimensional units, St = d/(M_inf*T), where d = nondimensional cylinder diameter = 1.0, M_inf = 0.2, and T = the nondimensional time for one period.) The computed average drag coefficient on the cylinder is about 1.76. (These levels for St and Cd are not necessarily spatially or temporally converged enough. 129 x 81 is a rather coarse grid, and dt=0.4 yields only 53 steps per period.)
In experiments at Re = 10,000, St is roughly 0.2 and average drag coefficient is near 1.0-1.2 (see Cox et al, Theoret. Comput. Fluid Dynamics (1998) 12: 233-253). Thus, 2-D CFD yields too-high levels for St and Cd (overall conclusions are similar even if one were to use finer grids and lower time steps). However, experiments for Re > 200 or so always have inherent three-dimensionality (spanwise structures), so 3-D computations would be necessary to reproduce the physics, including St and Cd.
Subsonic flow past a NACA 0012 airfoil is modeled at a Reynolds number of 10,000,000 and Mach number of 0.3, with the Spalart-Allmaras turbulence model employed and transition specified at x/c=2.5 percent chord. This case is given to demonstrate the global 2nd order spatial order property of the code. Using RKAP0 = 1/3, CFL3D employs a 3rd order upwind-biased difference scheme on the Euler fluxes. However, the viscous terms are treated 2nd order, so the resulting global order of accuracy of CFL3D ends up being approximately 2nd order. This case also demonstrates the use of mesh sequencing in CFL3D (starting on a coarse level grid, and running successively finer and finer grids). An extra-fine 1025x513 C-grid was used; its minimum spacing at the wall was such that the y+ at the first point off the wall was approximately 0.1 on the finest (1025x513) level and 2.3 on the coarsest (65x33) level. The following figures illustrates the case:
Then type:
This will create a subdirectory "Spaceaccstudy".
(Note: each run should be done sequentially, i.e., finish one before starting the next.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| 65x33 grid | 1 | 26 min | 655.0 MB |
cfl3d.res |
Nov 9 02 | Octane25 |
| 129x65 grid | 1 | 1 hr, 22 min | 657.0 MB |
cfl3d.res |
Nov 9 02 | Octane25 |
| 257x129 grid | 1 | 7hr, 19 min | 659.0 MB |
cfl3d.res |
Nov 9 02 | Octane25 |
| 513x257 grid | 1 | 37 hr, 11 min | 661.0 MB |
cfl3d.res |
Nov 11 02 | Octane25 |
| 1025x513 grid | 1 | 179 hr, 13 min | 785.5 MB |
cfl3d.res plot |
Nov 18 02 | Octane25 |
Using drag coefficients, the 2nd order spatial order
convergence rate
is shown in cderrorplot.
These results can be post-processed using the FORTRAN postprocessing program
FORTRAN program
(hardwired for use with this particular case).
A plot of the CFD predicted drag coefficients in comparison with experiment is given in cd_vs_exp. The experiment is taken from McCroskey, W. J., "A Critical Assessment of Wind Tunnel Results for the NACA 0012 Airfoil", AGARD CP-429, July 1988, pp. 1.1-1.21. It is given as a range of drag values measured over several different wind tunnel experiments, as a function of Reynolds number. The converged CFD result lies within the data band. This plot also shows how the CFD results converge with grid refinement. To summarize, the result on the 65x33 grid is 18.6% in error from the extrapolated solution on an infinitely-refined grid, 129x65 is 3.4% in error, 257x129 is 0.74% in error, 513x257 is 0.20% in error, and 1025x513 is 0.05% in error. This grid-sensitivity analysis indicates that a grid of size 257x129 for this 2-D case is sufficient to capture the drag to within less than 1% of its "exact" (no discretization error) value.
A subsonic 2-D jet flow entrains and mixes with a secondary outer flow. Inflow is set by specifying total pressure and total temperature. Results using using SA, SST, and EASM-ko turbulence models (#5, #7, and #14) are compared with experimental data from Gilbert and Hill, NASA CR-2251, 1973. See also Georgiadis et al, AIAA 99-0748, 1999. The following figure shows the grid:
Then type:
This will create a subdirectory "Ejectornozzle".
| Case | Plots | Exp. Data |
|---|---|---|
| SST, SA and EASM-ko |
u vs y |
u_vs_yexp.dat |
|
FORTRAN program |
The FORTRAN program will extract the computed results from the printout (cfl3d.prout) file generated by CFL3D at the approximate locations (nearest gridpoints) corresponding with the experimental data. The output files are formatted TECPLOT files.
Turbulent flow past a NACA 0012 airfoil sinusoidally oscillating in pitch is modeled. The unsteady motion is accomplished by moving the grid itself (unsteady time metric terms are included in CFL3D's formulation). Mach number is 0.6 and Reynolds number is 4.8 million. The Spalart-Allmaras turbulence model is employed. The frequency of pitching oscillation is 50.32 Hz. The experimental data is AGARD Case 3 taken from Landon, AGARD-R-702, 1982. The following figures illustrate the case:
Then type:
This will create a subdirectory "Pitch0012".
(Note: each run should be done sequentially, i.e., finish one before starting the next.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| steady | 1 | 27 min | 49.4 MB |
cfl3d_ss.res |
January 21 03 | Octane25 |
| pitching | 1 | 4hr, 47 min | 60.3 MB |
cfl3d.res |
January 21 03 | Octane25 |
| pitching (continuation) |
1 | 25 min | 60.3 MB |
cfl3d2.res plot |
January 21 03 | Octane25 |
| Case | Plots | Exp. data |
|---|---|---|
| SA |
Cl vs alpha Cm vs alpha Cp vs x/c at 5.95 deg Cp vs x/c at 2.43 deg |
alphaclcm_exp.dat cp_exp_5.95.dat cp_exp_2.43.dat |
|
FORTRAN program |
The FORTRAN program (hardwired for this case) will compute the alphas from the iteration numbers in the residual file (cfl3d.res) generated by CFL3D.
For this case we did not perform a time step study, in which the time step and/or number of subiterations is varied to determine their effect on the solution. The time step used (dt=0.4) corresponds to between 161-162 time steps per cycle. Six subiterations were used per time step. The convergence history with subiterations is output by CFL3D to the files cfl3d.subit_res for density residual and forces/moments, and to cfl3d.subit_turres for turbulence model residual. These files do not maintain a running history; they are reset for each successive restart. The files given here correspond to the final run using n0012_pitch2.inp.
Sample plots showing typical subiteration convergence for this case are given here:
This case simulates, in two dimensions, the unsteady flow through a single stage turbine in which the ratio of stator to rotor blades is 3:4. The case exercises a number of capabilities of CFL3D including unsteady flow, moving (translating) zones, dynamic patching between zones in relative motion, and grid overlapping. The Spalart-Allmaras turbulence model is employed.
This grid models a generic rotor-stator configuration in 2-d (which does not correspond to any experimental configuration), with the moving rotor row downstream of the stationary stator row. The grid consists of fourteen zones with a total of 18374 points in one plane. The grid zones communicate with one another through both patching and overlapping. At a time step of 1.0, it takes 270 time steps for the eight rotor zones (containing four blades) to completely traverse the six stator zones (containing three blades). The rotor zones are reset after each complete traverse. The input file is set for 1500 time steps (using five multigrid sub-iterations per time step), which is sufficient to establish a time-periodic solution.
The 2-d simulation assumes a nominal axial velocity of 75 feet/second. The inlet Mach number is 0.07, and the Reynolds number/inch is 100,000. The following figures illustrate the case:
Then type:
This will create a subdirectory "Rotorstator".
No comparison is made with experiment. This case is included primarily as a simple example to demonstrate the use of moving grids with sliding patched interfaces.
HUMP-MODEL FLOW CONTROL SIMULATION
This is the oscillatory (synthetic jet) control case from the CFDVAL Workshop Case 3 (see the CFDVAL website). The conditions are as follows: M=0.1, Re=936,000 per chord length of hump, zero-net-mass-flux oscillatory suction/blowing, frequency = 138.5 Hz. The Spalart-Allmaras turbulence model is employed. Currently, although the fine grid is of size: 793x217, 161x121, 65x121, 49x217 (for the 4 zones, respectively), it is currently only run for this test 1-level-down (using every other gridpoint in each coordinate direction): 397x109, 81x61, 33x61, 25x109.
The experiment is nominally 2-d. (Note that tunnel blockage due to side-plates needs to be taken into account in the 2-d simulation. This is currently done by shaping the top tunnel wall to account for a tunnel area decrease.) The following figures illustrate the case:
Then type:
This will create a subdirectory "Humpcase".
(Note: each run should be done sequentially, i.e., finish one before starting the next.)
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| hump (steady, no control) | 1 | 13 min | 251 MB |
cfl3d.res |
February 8 07 | Linux Workstation7 |
| hump (unsteady, 7 cycles) | 1 | 4 hrs, 30 min | 292 MB |
cfl3d.res |
February 8 07 | Linux Workstation7 |
| hump (unsteady, 1 cycle) | 1 | 41 min | 303 MB |
cfl3d.res plot |
February 8 07 | Linux Workstation7 |
| Case | Plots | Exp. data |
|---|---|---|
| Hump with SA |
Long-time-average Cp vs x Instantaneous Cp vs x near 140 deg in cycle |
osc_cp_avg.dat osc_cp_instant.dat |
The instantaneous data is extracted at the end of the run from the final data files output by CFL3D. For example, instantaneous Cp can be obtained from the cfl3d.prout file. More detailed instantaneous flowfield information can be obtained from the usual PLOT3D-output files. Long-time-average flowfield data are stored in the files cfl3d_avgg.p3d and cfl3d_avgq.p3d, when the keyword iteravg is activated.
The long-time-average Mach contours are shown in Long-time-average Mach contours, and the instantaneous vorticity contours at the end of the final run are shown in Instantaneous vorticity contours.
2-D subsonic flow through a curved duct (based on the So-Mellor experiment from J Fluid Mech 60 (part 1), 1973, pp. 43-62) is modeled at Reynolds number 36417 per inch and a nominal Mach number of 0.063 in the channel. In this case, the inflow is specified as a "turbulent boundary layer" by specifying crude inflow boundary conditions using BC2008, including turbulence. This is done to insure that the flow is fully turbulent well before it reaches the curved region of the duct. Both the Spalart-Allmaras (SA) and SA with rotation and curvature correction (SARC) models are employed, to demonstrate the influence of curvature for this flow. It should be noted that the outer wall shape was not given in the experimental reference, but was derived by using an optimization method in order to achieve the desired inner wall pressure distribution from experiment (see Int J Heat and Fluid Flow 22, 2001, pp. 573-582). As a consequence, the wall shape is not perfectly smooth, and solution results end up being somewhat "wavy." This case is being simulated with viscous inner wall and inviscid outer wall boundary conditions. The following figures illustrate the case:
Then type:
This will create a subdirectory "SoMellor".
(Note: each run should be done independently, i.e., finish one before starting another if running in the same directory, and remember to save results between each run as needed.)
| Case | Plots | Exp. data |
|---|---|---|
| So Mellor experiment |
Cp vs s Cf vs s |
cp_exp.dat cfu24_exp.data.dat |
|
FORTRAN program 1 (cp vs s) FORTRAN program 2 (cf vs s) Inflow profile specification |
The FORTRAN programs will extract the computed results from the printout files (named cfl3d.prout) generated by CFL3D. The output files are formatted TECPLOT files, which should be easily adapted to other plotting packages as well. The Inflow profile specifications are given as a more readable version of bc2008.data (the file used by CFL3D in conjunction with SA and SARC). A plot of the admittedly crude u velocity and nu_wiggle (Spalart-Allmaras turbulence variable) inflow profiles can be seen by clicking here.
Transonic flow past a "bump" is modeled in 3-D using 2 computational planes (separated by an angle of 1 degree), with periodic boundary conditions. Menter's SST turbulence model is employed. The experimental data is from Bachalo, W., Johnson, D., "An Investigation of Transonic Turbulent Boundary Layer Separation Generated on an Axisymmetric Flow Model," AIAA 79-1479, 1979.
Then type:
This will create a subdirectory "Axibump".
| Case | Plots | Exp. Data |
|---|---|---|
| 1 Block |
Cp vs x |
bumpcp_exp.dat |
| FORTRAN program |
The FORTRAN program will extract the computed results for the 1 block case from the printout (cfl3d.prout) file generated by CFL3D. The output is a formatted TECPLOT file, as is the experimental data file; these should be easily adapted to other plotting packages as well.
This widely-used test case consists of an isolated wing in a transonic free stream of Mach 0.84 at an angle of attack of 3.06 degrees with a Reynolds number of 11.7 million based on mean aerodynamic chord (MAC). In the experiment, MAC=0.64607 m. The current grid is nondimensionalized to make the semispan 1 unit (in the experiment it is 1.1963 m), so the MAC of the current grid is 0.54 units. The Spalart-Allmaras turbulence model is employed. The experimental data is taken from Schmitt and Charpin, AGARD-AR-138, 1979, p. B1. The following figures illustrate the case:
Then type:
This will create a subdirectory "ONERA_M6".
| Case | Plots | Exp. Data |
|---|---|---|
| 1 Block | Cp vs x/c | exp.dat |
| FORTRAN program |
The FORTRAN program will extract the computed results for the 1 block case from the plot3d files generated by CFL3D (with nplot3d = -1) and the experimental data files. The output is a formatted TECPLOT file, which should be easily adapted to other plotting packages as well.
ARA M100 WING-BODY (point-match grid)
This case is from M. P. Carr and K. C. Pallister, "Pressure distributions measured on Research Wing M100 mounted on an axisymmetric body," AGARD AR-138-ADDENDUM, Addendum to AGARD AR 138, Experimental Data Base for Computer Program Assessment, July 1984. The case considered here is the one corresponding to an angle of attack of 2.873 degrees, Mach 0.8027, and a chord Reynolds number of 13.1 million. The Spalart-Allmaras turbulence model is employed. This test case utilizes point-matched grids; the following case uses the same geometry, but employing overset (chimera) grids. The following figures illustrate the case:
Then type:
This will create a subdirectory "ARA_M100".
| Case | No. Processors | Run Time | Memory | Convergence History | Test Date | Test Machine |
|---|---|---|---|---|---|---|
| 1 Block | 1 | 6 hr, 34 min | 357.0 MB |
cfl3d.res plot |
Sep 10 03 | Linux Workstation6 |
| 1 Block FVS | 1 | 73 hr, 55 min | 357.0 MB |
cfl3d.res plot |
Aug 01 02 | Origin 20004 |
| 16 Block | 8 (+ host) | 2 hr, 20 min | 46.1 MB (per proc) |
cfl3d.res plot |
Jul 23 02 | Origin 20004 |
| Case | Plots | Exp. Data |
|---|---|---|
| 1 Block | Cp vs x/c | exp.dat |
| 1 BlockFVS | Cp vs x/c | exp.dat |
| FORTRAN program |
The FORTRAN program will extract the computed results for the 1 block case from the plot3d files generated by CFL3D (with nplot3d = -1) and the experimental data files. The output is a formatted TECPLOT file, which should be easily adapted to other plotting packages as well.
ARA M100 WING-BODY (overset grid)
This case is from M. P. Carr and K. C. Pallister, "Pressure distributions measured on Research Wing M100 mounted on an axisymmetric body," AGARD AR-138-ADDENDUM, Addendum to AGARD AR 138, Experimental Data Base for Computer Program Assessment, July 1984. The case considered here is the one corresponding to an angle of attack of 2.873 degrees, Mach 0.8027, and a chord Reynolds number of 13.1 million. The Spalart-Allmaras turbulence model is employed. This test case utilizes overset (chimera) grids; the preceding case uses the same geometry, but employing point-matched grids. The off-body grids differ between the two cases, although the wing surface grids are identical. The following figures illustrate the case:
Then type:
This will create a subdirectory "ARA_M100_XMERA".
file defaults: input grid files are plot3d type input grid files are unformatted output INGRID/plot3d file is unformatted do you wish to use these defaults (y/n)? (alternate options include formatted files and cfl3d-type input grid files) y choose the type of output file to create enter 0 to create an INGRID file (for PEGSUS 4.x) enter 1 to create a plot3d file (for PEGSUS 5.x) 0 enter the name of the output file to create (up to 80 char.) INGRID enter 0 to create an output file with grid points enter 1 to create an output file with augmented cell centers 1 enter 0 to preserve input-grid i,j,k index definitions in the output grid you may want this option if you have an existing PEGSUS input file that was generated for OVERFLOW Note: this will require the following translation of indicies between CFL3D and PEGSUS input files: PEGSUS CFL3D J = I K = J L = K enter 1 to swap input-grid i,j,k index definitions in the output grid Note: this will require NO translation of indicies between CFL3D and PEGSUS input files: PEGSUS CFL3D L = I J = J K = K 1 enter number of separate grid files to convert into one output file 1 enter 0 to specify a name for each mesh enter 1 to use default names (grid.n) 0 beginning processing of grid file number 1 input name of unformatted plot3d grid file to read (up to 80 characters) m100_xmera_6blk.unf enter 0 if a single-grid plot3d file enter 1 if a multiple-grid plot3d file 1 required array sizes: maxbl = 6 lmax = 218 jmax = 74 kmax = 50 input name (up to 40 char.) for zone 1 FUSE reading zone 1 input dimensions 161 25 49 writing zone 1 with name FUSE output dimensions 26 50 162 done writing grid 2*1 input name (up to 40 char.) for zone 2 WING_IN reading zone 2 input dimensions 217 21 49 writing zone 2 with name WING_IN output dimensions 22 50 218 done writing grid 2*2 input name (up to 40 char.) for zone 3 WING_OUT reading zone 3 input dimensions 217 21 49 writing zone 3 with name WING_OUT output dimensions 22 50 218 done writing grid 2*3 input name (up to 40 char.) for zone 4 BOX1 reading zone 4 input dimensions 145 21 49 writing zone 4 with name BOX1 output dimensions 22 50 146 done writing grid 2*4 input name (up to 40 char.) for zone 5 BOX2 reading zone 5 input dimensions 73 73 41 writing zone 5 with name BOX2 output dimensions 74 42 74 done writing grid 2*5 input name (up to 40 char.) for zone 6 BOX3 reading zone 6 input dimensions 73 41 41 writing zone 6 with name BOX3 output dimensions 42 42 74 done writing grid 2*6 conversion of grid file 1 complete conversion of all grid files completed the INGRID output file: INGRID contains (augmented) cell centers of the input grid(s) note: the mesh names in the INGRID file contain 40 characters make sure the PEGSUS parameter ICHAR is set to 40pegsus41 < peg41.inp > peg41.out XINTOUT_to_ovrlp
enter 4 if pegsus version 4.X was used enter 5 if pegsus version 5.X was used 4 enter the name of the COMPOUT file created by PEGSUS (unless you have renamed it, enter COMPOUT) COMPOUT enter 0 to leave overset data as 3d enter 1 to convert overset data to 2d (2 i-planes) 0 enter 0 to use the maggie/CFL3D-ijk index definition enter 1 to use the pegsus/OVERFLOW-jkl index definition 0 (additional output from XINTOUT_to_ovrlp is omitted... no further user input is needed)
| Case | Plots | Exp. Data |
|---|---|---|
| 6 Block | Cp vs x/c | exp.dat |
| FORTRAN program |
The FORTRAN program will extract the computed results for the 6 block case from the plot3d files generated by CFL3D (with nplot3d = -1) and the experimental data files. The output is a formatted TECPLOT file, which should be easily adapted to other plotting packages as well.
Subsonic laminar flow past a delta wing at 20.5 degrees angle of attack is modeled at a Reynolds number of 0.5 million and and Mach number of 0.3. This case is given to demonstrate the CGNS capability in CFL3D. CGNS stands for CFD General Notation System. It is a method for standardizing CFD input and output, including grid, flow solution, connectivity, BC's, and auxiliary information. The method is in the process of becoming an international ISO standard. It is machine-independent, and will eventually eliminate most of the translator programs now necessary when working between machines and between CFD codes. Also, it eventually may allow for the results from one code to be easily restarted using another code. See the CGNS link on the Index bar of the CFL3D web page for more information. For this particular case, a grid size of 37x65x65 was used. The following figures illustrates the case:
Then type:
This will create a subdirectory "Delta_cgns".
Step 1:
Go to www.cgns.org and download CGNS (under "Download the Software"), and follow the instructions to compile it for your machine. The CGNS library is freely available open software. Be sure to download the latest version of the CGNS library. Ultimately, you should end up with a directory called something like: cgnslib_x.x/. In here you should have a file called cgnslib_f.h, and the compiled library libcgns.a should be in a subdirectory appropriately named for whatever system you are running on. See the Install file (in the build directory) under "CGNS_LLIBDIR=" for the subdirectory names currently expected by CFL3D for each machine. It is not guaranteed that this default name is correct... you may need to change this default name, depending on what name is created by the CGNS software for your machine.
When you install CFL3D, use the command "Install -cgnsdir=...", where "..." specifies the location of the cgnslib_x.x/ directory (for example: Install -cgnsdir=../../bin/cgnslib_x.x). If you have already installed CFL3D without CGNS, you must re-install it.
Step 2:
Be sure to make cfl3d_tools in the build directory, so that the tool "plot3dg_to_cgns" is created. Then type:
plot3dg_to_cgns < plot3dg_to_cgns.inp(translates formatted grid file in PLOT3D format to CGNS grid file named delta.cgns). Note that a small change was made to the plot3dg_to_cgns.F code prior to the general release of CFL3D Version 6.4; this change requires an additional line of input. Therefore, if the above command yields an error, be sure that you have the latest version of plot3dg_to_cgns.F.
Step 3:
Next, type:
cfl3d_seq < delta_cgns.inp &Running with CGNS means that one file (the CGNS file) contains the grid, solution, and all necessary restart information. Thus, the "restart.bin" file is not needed, although it is still kept in the input file. Note that you can make use of links in CGNS in order to have the grid as a separate file from the solution file, if desired. But in this case everything is still accessed through a single file name. If your post-processing software supports CGNS, then you can plot results directly from the CGNS file also! However, note that CFL3D currently still outputs standard PLOT3D-type files for postprocessing, if desired.
After running CFL3D, the file delta.cgns will contain the grid and flow solution. (If desired, the final resulting CGNS file for this case can be obtained from the following link: delta.cgns.gz (8.07 MB).)
The delta.cgns CGNS file can be viewed using special CGNS
viewing software, "adfviewer," available from www.cgns.org.
The adfviewer software displays the CGNS file, and allows the user to
query and even manipulate it. A sample screen is shown in the
adfviewer screen.
Additional details can be found by clicking on the CGNS link on the Index bar to the left.
However, it is not necessary to be able to view the CGNS file; it
can be treated simply as a restart file (like the usual restart.bin file).
But it is better than the usual restart file because it contains more
archival information (including date-stamping, comments on how the solution was
obtained, BC information, and a record of the input file(s) employed).
| Test Platform No. | Type | Vita | Notes |
|---|---|---|---|
| 1 | SGI Origin 2000 | 32 procs @250 MHz 4MB Lev2 cache 24.5GB RAM total |
timings vary with system load |
| 2 | SGI Origin 2000 | 4 procs @250 MHz 4MB Lev2 cache 4.6GB RAM total |
timings vary with system load |
| 3 | SGI Origin 2000 | 8 procs @250 MHz 4MB Lev2 cache 9.2GB RAM total |
timings vary with system load |
| 4 | SGI Origin 2000 | 16 procs @250 MHz 4MB Lev2 cache 16.3GB RAM total |
timings vary with system load |
| 5 | SGI Octane2 | 2 procs @360 MHz 2MB Lev2 cache 2.3GB RAM total |
timings vary with system load |
| 6 | Linux Workstation | 2 procs @2.4 GHz 2GB DDR RAM total |
various compilers used |
| 7 | Linux Workstation | 2 dual-core procs @3.0 GHz 4GB FB-dims RAM total |
various compilers used |
Responsible NASA Official:
Christopher Rumsey
Page Curator:
Christopher Rumsey
Last Updated: 01/19/2022


11 Apr 2016
There are different ways developers, managers, people involved in the project divide the work between themselves in order to be more efficient, usually assigning tasks to what the person is most comfortable with.
Continue reading...
08 Jul 2015
Basically I have couple of ways to build a form with a lot of inputs, maybe that won’t be the best practical solution but let’s just see where I am going with this.
In one tr I have at least 20 inputs, it maybe be more and I want to multiply that by 1000. Solutions based on JavaScript are done using jQuery. These are the scenarios I have tried:
Continue reading...
01 May 2015
This is an abstract from the book PHP Design Patterns by Aaron Saray. I found it very useful, explanations are clear and simple and it has code examples which is always nice. I consider knowing this of a great importance, because as the business logic grows no matter of your framework you have to code your own framework. There are many frameworks out there today, but they can be nothing more than a good basic to start of your application, otherwise we’re stuck with large and unmaintainable code. Below is copy/paste of the main headers from the book so I can read it from time to time.
Continue reading...
01 May 2015
This is a list of books I’ve recently read or I am still reading. The “problem” I’m having is that I start reading more books at once instead of one by one, since I perform very badly in multitasking, but if something interests me I start it immediately.
Continue reading...
04 Apr 2014
Using php-fpm seems to be a good idea so I wanted to check how thing stand regarding web server performance. Apache is standard and I’ve being using it for lots of years, but read that nignx should be faster and more stable. Version of apache is 2.4.7 and nignx’s is 1.4.7.
Continue reading...


Sam Narisi
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How Much Does Your Electric Vehicle Cost in Electricity?
What is Your Car's Range in Miles
How Many Miles Do You Drive a Week
What is Your Car's kWh Per 100 Miles
Select your state
Need Help Finding Your Car's kWh Per 100 Miles?
Below are a few popular Electric Cars. If yours is not listed, do a Google search
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2017 Nissan Leaf
30
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27
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36
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34
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31
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2017 BMW i3
27
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2017 Chevy Bolt
28
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2018 Hyundai Ioniq Electric
25
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2018 Volkswagen e-Golf
28
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2018 Handa Clarity EV
30
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2018 Fiat 500e
30


Take the stress away from planning
Whatever it is that you're planning for, it doesn't have to be boring or difficult. Have fun doing it with ease.
Whatever it is that you're planning for, it doesn't have to be boring or difficult. Have fun doing it with ease.
Easily include everyone in your plans by sharing your ideas. Get inspired by others and share the excitement.
Plan that trip for an exotic adventure
Set long term or short term goals with ease
Share your plans with confidence


exercises you like to your workout board
Workitout is the pinterest for workouts. Discover all kinds of exercises targeting different muscle groups and “pin” them on your board to create your very own workout!
After creating your workout, your workout turns into a playlist that comes with timer and visual cues to guide you through your workout anytime, anywhere.
In the play mode, the app acts as an interval timer for your workout, showing you how many sets you have done, duration left and the upcoming exercises to do
One of the key screen for the app is the workout play mode as it will have the high frequency of use. For this feature, users will be working out along with the app hence colors and information architecture plays an important role in this screen.
Design 1 to Design 2
When the user is working out along with the app, the most important information is the current exercise that they are doing. Initially I used a dark background to highlight the current exercise but with the full background being just one color, it is hard for the user to find the information needed at one glance while they are exercising at the same time. In Design 2, I separated the screen to 2 components, namely the current and the upcoming sections.
Design 2 to Design 3
As users tend to focus more on white colors, I inverted each section’s background color to give the current focus a neutral background.
Design 3 to Design 4
Finally, since the 2 separate sections represents current and upcoming elements, I moved the progress bar from the bottom section to the current section as it is indeed a representation of the current progress, to harmonize the information hierachy.
Create a workout schedule by adding workouts you have saved or created into the in-app calendar. This is basically your workout diary and your one-stop app to refer for all your work out information! Plan away and start losing that weight!


Bill Russell accepts Hall of Fame ring 44 years after induction
SPRINGFIELD, Mass. -- Bill Russell finally accepted his Basketball Hall of Fame ring.
The 11-time NBA champion, five-time MVP, Olympic gold medalist and two-time NCAA champ said on Twitter on Friday that he was presented with his Hall of Fame ring in a private ceremony.
The 85-year-old Boston Celtics great didn't attend the induction ceremony in 1975. He said he didn't deserve to be the first black player inducted, tweeting: "I felt others before me should have that honor."
His tweet mentions Chuck Cooper, who in 1950 was the first African-American player drafted by the NBA and who was inducted this year.
Russell said the ceremony was attended by his wife, along with close friends and Hall of Famers Bill Walton, Ann Meyers and Alonzo Mourning.


Expression object for dense matrix-dense matrix Schur products.The DMatDMatSchurExpr class represents the compile time expression for Schur products between dense matrices with identical storage order.
More...
#include <DMatDMatSchurExpr.h>
Inherits blaze::SchurExpr< DenseMatrix< DMatDMatSchurExpr< MT1, MT2, SO >, SO > >, and blaze::Computation.
|
| enum | : bool { simdEnabled
} |
| | Compilation switch for the expression template evaluation strategy.
|
| |
| enum | : bool { smpAssignable = MT1::smpAssignable && MT2::smpAssignable
} |
| | Compilation switch for the expression template assignment strategy.
|
| |
| enum | : size_t { SIMDSIZE = SIMDTrait<ElementType>::size
} |
| | The number of elements packed within a single SIMD element.
|
| |
|
using | This = DMatDMatSchurExpr< MT1, MT2, SO > |
| | Type of this DMatDMatSchurExpr instance.
|
| |
|
using | ResultType = SchurTrait_< RT1, RT2 > |
| | Result type for expression template evaluations.
|
| |
|
using | OppositeType = OppositeType_< ResultType > |
| | Result type with opposite storage order for expression template evaluations.
|
| |
|
using | TransposeType = TransposeType_< ResultType > |
| | Transpose type for expression template evaluations.
|
| |
|
using | ElementType = ElementType_< ResultType > |
| | Resulting element type.
|
| |
|
using | ReturnType = const IfTrue_< returnExpr, ExprReturnType, ElementType > |
| | Return type for expression template evaluations.
|
| |
|
using | CompositeType = IfTrue_< useAssign, const ResultType, const DMatDMatSchurExpr &> |
| | Data type for composite expression templates.
|
| |
|
using | LeftOperand = If_< IsExpression< MT1 >, const MT1, const MT1 &> |
| | Composite type of the left-hand side dense matrix expression.
|
| |
|
using | RightOperand = If_< IsExpression< MT2 >, const MT2, const MT2 &> |
| | Composite type of the right-hand side dense matrix expression.
|
| |
|
using | MatrixType = MT |
| | Type of the matrix.
|
| |
|
| enum | : bool { returnExpr = !IsTemporary<RN1>::value && !IsTemporary<RN2>::value
} |
| | Compilation switch for the selection of the subscript operator return type. More...
|
| |
| enum | : bool { useAssign = RequiresEvaluation<MT1>::value || RequiresEvaluation<MT2>::value || !returnExpr
} |
| | Compilation switch for the serial evaluation strategy of the Schur product expression. More...
|
| |
|
using | RT1 = ResultType_< MT1 > |
| | Result type of the left-hand side dense matrix expression.
|
| |
|
using | RT2 = ResultType_< MT2 > |
| | Result type of the right-hand side dense matrix expression.
|
| |
|
using | RN1 = ReturnType_< MT1 > |
| | Return type of the left-hand side dense matrix expression.
|
| |
|
using | RN2 = ReturnType_< MT2 > |
| | Return type of the right-hand side dense matrix expression.
|
| |
|
using | CT1 = CompositeType_< MT1 > |
| | Composite type of the left-hand side dense matrix expression.
|
| |
|
using | CT2 = CompositeType_< MT2 > |
| | Composite type of the right-hand side dense matrix expression.
|
| |
|
using | ET1 = ElementType_< MT1 > |
| | Element type of the left-hand side dense matrix expression.
|
| |
|
using | ET2 = ElementType_< MT2 > |
| | Element type of the right-hand side dense matrix expression.
|
| |
|
using | ExprReturnType = MultExprTrait_< RN1, RN2 > |
| | Expression return type for the subscript operator.
|
| |
|
|
LeftOperand | lhs_ |
| | Left-hand side dense matrix of the Schur product expression.
|
| |
|
RightOperand | rhs_ |
| | Right-hand side dense matrix of the Schur product expression.
|
| |
template<typename MT1, typename MT2, bool SO>
class blaze::DMatDMatSchurExpr< MT1, MT2, SO >
Expression object for dense matrix-dense matrix Schur products.
The DMatDMatSchurExpr class represents the compile time expression for Schur products between dense matrices with identical storage order.
◆ anonymous enum
template<typename MT1, typename MT2, bool SO>
Compilation switch for the selection of the subscript operator return type.
The returnExpr compile time constant expression is a compilation switch for the selection of the ReturnType. If either matrix operand returns a temporary vector or matrix, returnExpr will be set to false and the subscript operator will return it's result by value. Otherwise returnExpr will be set to true and the subscript operator may return it's result as an expression.
◆ anonymous enum
template<typename MT1, typename MT2, bool SO>
Compilation switch for the serial evaluation strategy of the Schur product expression.
The useAssign compile time constant expression represents a compilation switch for the serial evaluation strategy of the Schur product expression. In case either of the two dense matrix operands requires an intermediate evaluation or the subscript operator can only return by value, useAssign will be set to 1 and the Schur product expression will be evaluated via the assign function family. Otherwise useAssign will be set to 0 and the expression will be evaluated via the function call operator.
◆ DMatDMatSchurExpr()
template<typename MT1, typename MT2, bool SO>
Constructor for the DMatDMatSchurExpr class.
- Parameters
-
| lhs | The left-hand side operand of the Schur product expression. |
| rhs | The right-hand side operand of the Schur product expression. |
◆ at()
template<typename MT1, typename MT2, bool SO>
Checked access to the matrix elements.
- Parameters
-
| i | Access index for the row. The index has to be in the range . |
| j | Access index for the column. The index has to be in the range . |
- Returns
- The resulting value.
- Exceptions
-
| std::out_of_range | Invalid matrix access index. |
◆ begin()
template<typename MT1, typename MT2, bool SO>
Returns an iterator to the first non-zero element of row i.
- Parameters
-
- Returns
- Iterator to the first non-zero element of row i.
◆ canAlias()
template<typename MT1, typename MT2, bool SO>
template<typename T >
Returns whether the expression can alias with the given address alias.
- Parameters
-
| alias | The alias to be checked. |
- Returns
- true in case the expression can alias, false otherwise.
◆ canSMPAssign()
template<typename MT1, typename MT2, bool SO>
Returns whether the expression can be used in SMP assignments.
- Returns
- true in case the expression can be used in SMP assignments, false if not.
◆ columns()
template<typename MT1, typename MT2, bool SO>
Returns the current number of columns of the matrix.
- Returns
- The number of columns of the matrix.
◆ end()
template<typename MT1, typename MT2, bool SO>
Returns an iterator just past the last non-zero element of row i.
- Parameters
-
- Returns
- Iterator just past the last non-zero element of row i.
◆ isAliased()
template<typename MT1, typename MT2, bool SO>
template<typename T >
Returns whether the expression is aliased with the given address alias.
- Parameters
-
| alias | The alias to be checked. |
- Returns
- true in case an alias effect is detected, false otherwise.
◆ isAligned()
template<typename MT1, typename MT2, bool SO>
Returns whether the operands of the expression are properly aligned in memory.
- Returns
- true in case the operands are aligned, false if not.
◆ leftOperand()
template<typename MT1, typename MT2, bool SO>
Returns the left-hand side dense matrix operand.
- Returns
- The left-hand side dense matrix operand.
◆ load()
template<typename MT1, typename MT2, bool SO>
Access to the SIMD elements of the matrix.
- Parameters
-
| i | Access index for the row. The index has to be in the range . |
| j | Access index for the column. The index has to be in the range . |
- Returns
- Reference to the accessed values.
◆ operator()()
template<typename MT1, typename MT2, bool SO>
2D-access to the matrix elements.
- Parameters
-
| i | Access index for the row. The index has to be in the range . |
| j | Access index for the column. The index has to be in the range . |
- Returns
- The resulting value.
◆ operator~() [1/2]
template<typename MT, bool SO>
Conversion operator for non-constant matrices.
- Returns
- Reference of the actual type of the matrix.
◆ operator~() [2/2]
template<typename MT, bool SO>
Conversion operator for constant matrices.
- Returns
- Constant reference of the actual type of the matrix.
◆ rightOperand()
template<typename MT1, typename MT2, bool SO>
Returns the right-hand side dense matrix operand.
- Returns
- The right-hand side dense matrix operand.
◆ rows()
template<typename MT1, typename MT2, bool SO>
Returns the current number of rows of the matrix.
- Returns
- The number of rows of the matrix.
The documentation for this class was generated from the following file:


Filter Conditions
Filter rules are not case-insensitive, meaning that the rules ignore capitalization.
Conditions
Comparison text boxes include the following:
From. Use this to specify a name in the From header of an email message.
To. Same as From, but looks for specified names in the To header.
Cc. Same as From, but looks in the Cc header.
To or Cc. Same as From, but looks in both To and Cc header.
Subject. Looks in the message's Subject header.
Header Named. When this option is selected, an additional text box appears before the comparison operator (the "contains" portion). This option allows you to specify any email header. You can specify not only the standard text boxes of To or From, but also Date, Reply-To, or other custom text boxes that may be included in the message header. You can use this option to filter out email messages that have "malformed" headers, meaning they do not contain certain information that is normally considered standard for an email message. Sometimes spam, which is automatically generated, omits information such as the Sender or Reply-to fields. Use the second text box (the text box immediately to the right of the comparison operator) to specify the header to test for.
Size. Use this to select email messages that are larger or smaller than a specified size. The size of the email includes any file attachments. You can use this to discard email messages that are too large.
Date. Use this option to specify email messages sent before or after a specified date.
Body. The options for Body are Contains/Does not contain, and this allows you to specify matching words in the body of the email. You cannot filter for words in file attachments.
Attachment. You can filter for email messages that have, or don't have, file attachments.
Address In. Tests for the presence of an address in your contacts. The next text box allows you to specify which address.
Comparison operators include the following:
Matches exactly/does not match exactly. Specifies an exact match. For example, specifying Subject matches exactly - Banana would only match "Banana" and not "Bananas" or "A truck full of banana leaves".
Contains/does not contain. Specifies that the subject line must contain the specified substring. For example, specifying Subject contains Banana would match "I'm going bananas".
Matches wildcard/does not match wildcard condition. The wildcard * is a character used in the mail filter comparison text box to represent one or more characters in the filter. For example, specifying Subject matches " banana*" would match "bananas" or "banana-leaf casserole" but not "my banana-leaf casserole."
Actions
Keep in Inbox. Saves mail to Inbox. If none of the filter rules match an email message, this action takes place by default.
Discard. Deletes the mail message without delivering it. The message is not in any of your folders, not even Trash.
File into folder. Moves the mail to a specified folder.
Tag with. You can tag matching messages with a selected tag.
Mark. Select as Read or as Flagged.
Forward to address. Forwards mail to the address you specify.
Multiple Actions
You can create a filter rule made up of multiple actions. The combinations of actions in your rule are interpreted as follows:
Keep in Inbox. Multiple "keep" actions can be specified, but only one copy of the message is saved to the Inbox.
Discard. If combined with other actions, discard is ignored and the other actions take place.
File into folder. Multiple "file into" actions results in multiple copies of the message being stored in different folders. If a specified folder does not exist, the message is saved to the Inbox.
Tag with/Mark. These actions apply to the message returned from the nearest preceding action. In the case of multiple "File into" actions, this could result in some copies of the message stored without a tag, and others stored with a tag.
Forward to address. Mail is forwarded to the address specified.


Data Fields | |
| unsigned long long | Address |
| unsigned long long | Value |
| unsigned int | BlockId |
| unsigned int | InjectErrorType |
| unsigned int | SubBlockIndex |
| unsigned int | padding [9] |
This structure is used to store RAS Error Injection input information
| unsigned long long _ADLRASErrorInjectonInput::Address |
| unsigned long long _ADLRASErrorInjectonInput::Value |
| unsigned int _ADLRASErrorInjectonInput::BlockId |
| unsigned int _ADLRASErrorInjectonInput::InjectErrorType |
| unsigned int _ADLRASErrorInjectonInput::SubBlockIndex |
| unsigned int _ADLRASErrorInjectonInput::padding[9] |


API Swimlane Procedures¶
getDefaultSwimlane¶
- Purpose: Get the default swimlane for a project
- Parameters:
- project_id (integer, required)
- Result on success: true
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "getDefaultSwimlane",
"id": 898774713,
"params": [
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 898774713,
"result": {
"id": "1",
"default_swimlane": "Default swimlane",
"show_default_swimlane": "1"
}
}
getActiveSwimlanes¶
- Purpose: Get the list of enabled swimlanes of a project (include default swimlane if enabled)
- Parameters:
- project_id (integer, required)
- Result on success: List of swimlanes
- Result on failure: null
Request example:
{
"jsonrpc": "2.0",
"method": "getActiveSwimlanes",
"id": 934789422,
"params": [
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 934789422,
"result": [
{
"id": 0,
"name": "Default swimlane"
},
{
"id": "2",
"name": "Swimlane A"
}
]
}
getAllSwimlanes¶
- Purpose: Get the list of all swimlanes of a project (enabled or disabled) and sorted by position
- Parameters:
- project_id (integer, required)
- Result on success: List of swimlanes
- Result on failure: null
Request example:
{
"jsonrpc": "2.0",
"method": "getAllSwimlanes",
"id": 509791576,
"params": [
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 509791576,
"result": [
{
"id": "1",
"name": "Another swimlane",
"position": "1",
"is_active": "1",
"project_id": "1"
},
{
"id": "2",
"name": "Swimlane A",
"position": "2",
"is_active": "1",
"project_id": "1"
}
]
}
getSwimlane¶
- Purpose: Get the a swimlane by id
- Parameters:
- swimlane_id (integer, required)
- Result on success: swimlane properties
- Result on failure: null
Request example:
{
"jsonrpc": "2.0",
"method": "getSwimlane",
"id": 131071870,
"params": [
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 131071870,
"result": {
"id": "1",
"name": "Swimlane 1",
"position": "1",
"is_active": "1",
"project_id": "1"
}
}
getSwimlaneById¶
- Purpose: Get the a swimlane by id
- Parameters:
- swimlane_id (integer, required)
- Result on success: swimlane properties
- Result on failure: null
Request example:
{
"jsonrpc": "2.0",
"method": "getSwimlaneById",
"id": 131071870,
"params": [
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 131071870,
"result": {
"id": "1",
"name": "Swimlane 1",
"position": "1",
"is_active": "1",
"project_id": "1"
}
}
getSwimlaneByName¶
- Purpose: Get the a swimlane by name
- Parameters:
- project_id (integer, required)
- name (string, required)
- Result on success: swimlane properties
- Result on failure: null
Request example:
{
"jsonrpc": "2.0",
"method": "getSwimlaneByName",
"id": 824623567,
"params": [
1,
"Swimlane 1"
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 824623567,
"result": {
"id": "1",
"name": "Swimlane 1",
"position": "1",
"is_active": "1",
"project_id": "1"
}
}
changeSwimlanePosition¶
- Purpose: Move up the swimlane position (only for active swimlanes)
- Parameters:
- project_id (integer, required)
- swimlane_id (integer, required)
- position (integer, required, must be >= 1)
- Result on success: true
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "changeSwimlanePosition",
"id": 99275573,
"params": [
1,
2,
3
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 99275573,
"result": true
}
updateSwimlane¶
- Purpose: Update swimlane properties
- Parameters:
- swimlane_id (integer, required)
- name (string, required)
- description (string, optional)
- Result on success: true
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "updateSwimlane",
"id": 87102426,
"params": [
"1",
"Another swimlane"
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 87102426,
"result": true
}
addSwimlane¶
- Purpose: Add a new swimlane
- Parameters:
- project_id (integer, required)
- name (string, required)
- description (string, optional)
- Result on success: swimlane_id
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "addSwimlane",
"id": 849940086,
"params": [
1,
"Swimlane 1"
]
}
Response example:
{
"jsonrpc": "2.0",
"id": 849940086,
"result": 1
}
removeSwimlane¶
- Purpose: Remove a swimlane
- Parameters:
- project_id (integer, required)
- swimlane_id (integer, required)
- Result on success: true
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "removeSwimlane",
"id":<PHONE_NUMBER>,
"params": [
2,
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id":<PHONE_NUMBER>,
"result": true
}
disableSwimlane¶
- Purpose: Enable a swimlane
- Parameters:
- project_id (integer, required)
- swimlane_id (integer, required)
- Result on success: true
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "disableSwimlane",
"id":<PHONE_NUMBER>,
"params": [
2,
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id":<PHONE_NUMBER>,
"result": true
}
enableSwimlane¶
- Purpose: Enable a swimlane
- Parameters:
- project_id (integer, required)
- swimlane_id (integer, required)
- Result on success: true
- Result on failure: false
Request example:
{
"jsonrpc": "2.0",
"method": "enableSwimlane",
"id":<PHONE_NUMBER>,
"params": [
2,
1
]
}
Response example:
{
"jsonrpc": "2.0",
"id":<PHONE_NUMBER>,
"result": true
}


{% extends "template.html" %} {% block content %}
Searching workflows and their tools on public Galaxy instances (from 19.01 onwards)
Through the navigation above you can get a list of workflows and tools available in the Galaxy instances:


Polyline
Encode and decode the Google Maps API polyline
format. Implements the
algorithm described in Google Maps API Documentation
Summary↑
| e5(coord) | Multiply a floating number coordinate in degrees with a factor of 10,000 and round it to the nearest signed integer. If the input is already in the desired format, do nothing |
| make_polyline(offset_list) | Encode a list of a start point concatenated with a list of offsets
into an ASCII string (formatted as a Google Maps API |
| to_offset_list(polyline) | Converts a (GoogleMapsAPI-flavored) base64-encoded |
| to_point_list(polyline) | Converts a (GoogleMapsAPI-flavored) base64-encoded |
Functions
Specs:
- e5(number) :: integer
Multiply a floating number coordinate in degrees with a factor of 10,000 and round it to the nearest signed integer. If the input is already in the desired format, do nothing.
Examples
iex> Polyline.e5 38.5
3850000
iex> Polyline.e5 -2
-2
Specs:
- make_polyline([{number, number}]) :: {:ok, char_list}
Encode a list of a start point concatenated with a list of offsets
into an ASCII string (formatted as a Google Maps API polyline
).
Examples
iex> Polyline.make_polyline [{38.5, -120.2}, {220000, -75000}, {255200, -550300}]
{:ok, '_p~iF~ps|U_ulLnnqC_mqNvxq`@'}
Specs:
- to_offset_list(char_list) :: {:ok, [{integer, integer}]}
Converts a (GoogleMapsAPI-flavored) base64-encoded polyline
into a
list of a start point concatenated with a list of offsets, in e5
notation:
offset_list = [{start_lat, start_lng}, {offset1, offset2}, ...]
.
Examples
iex> Polyline.to_offset_list '_p~iF~ps|U_ulLnnqC_mqNvxq`@'
{:ok, [{3850000, -12020000}, {220000, -75000}, {255200, -550300}]}
Specs:
- to_point_list(char_list) :: {:ok, [{integer, integer}]}
Converts a (GoogleMapsAPI-flavored) base64-encoded polyline
to a
list of points.
Points are tuples of the form {latitude, longitude}
.
Examples
iex> Polyline.to_point_list '_p~iF~ps|U_ulLnnqC_mqNvxq`@'
{:ok, [{38.5, -120.2}, {40.7, -120.95}, {43.252, -126.453}]}


Adriva Core Framework
Adriva Core Framework is a set of common libraries that can be reused in .NET projects.
This project targets netstandard2.1.
Documentation
Projects in Solution
| Project | Description |
|---|---|
| Adriva.Common.Core | Provides shared utility methods, global enums and common classes that can be used in any project type targeting netstandard2.1 and higher. Also consumed by other framework libraries within this repository. |
| Adriva.Extensions.Caching.Abstractions | Caching abstractions for memory, distributed or any other custom cache. |
| Adriva.Extensions.Caching.Memory | In memory cache storage. |
| Adriva.Extensions.Optimization.Abstractions | Optimization abstractions for file optimization modules. |
| Adriva.Extensions.Optimization.Transforms | Shared transforms that can be used with Adriva.Extensions.Optimization.Abstractions. |
| Adriva.Extensions.Optimization.Web | Customizable transforms and tag helpers to create and consume optimized resources in asp.net Core applications. |
| Adriva.Extensions.Analytics.AppInsights | Microsoft AppInsights client wrapper library that can use custom server implementations. |
| Adriva.Extensions.Analytics.Server | Base analytics server that can be used with virtually any analytics client and store incoming analytics data in virtually any repository. |
| Adriva.Extensions.Analytics.Server.AppInsights | Analytics server services that is used to parse and store incoming Microsoft AppInsights data in virtually any data storage including on-premise systems. |
| Adriva.Extensions.Analytics.Repository.EntityFramework | Base implementation of an analytics data repository using Entity Framework Core which other EF Core repositories can derive from. Also provides an in-memory repository for development and testing purposes. |
| Adriva.Extensions.Analytics.Repository.EntityFramework.Sqlite | Entity Framework Core based Sqlite analytics data repository. |
Projects Running On Adriva Core Framework
- adriva.com
- jarrt.com
- zargan.com
- Tayf
- Petrol Ofisi - Url not disclosed
- Protel - Url not disclosed


{% load i18n %}
| Domain | Owner | Trust Status |
|---|---|---|
| {{ org.domain }} | {{ org.owner.first_name }} {{ org.owner.last_name }} [{{ org.owner }}] | {% if org.trusted %} Trust Established: {{ org.trusted_since }} {% else %} No Trust Relationship {% endif %} |
Your organization has to go through a process of Trust Verification before OAUTH application keys and secrets can be created.
Use the "Establish Trust" link to start the Trust process.
Establish Trust {% endif %} {% else %}|
Create an Organization Profile and link it to your account. |


{% extends 'base.html' %} {% block content %}
A bigram (pronounced "BY-gram") is a linguistic term for a phrase of two words.
The Bigram Search feature looks for a specific two-word phrase within a certain decade. If the phrase is not found, it will also look for the hyphenated and single-word versions of that phrase. (Think "tea cup" vs. "tea-cup" vs. "teacup".) This is because English from 1800-1923 tended to use more hyphenated phrases than 2010s English does. For instance, the hyphenated word "dinner-parties" appears in the 1810s corpus, but the bigram "dinner parties" does not.
The Google Books Ngram Viewer is a Google feature that graphs word and phrase frequencies over time, based on the Google Books corpus. The Ngram charts can be embedded in other websites using iframes. Wordsworth's Google Ngram charts default to pulling from Google's "English Fiction" corpus.
This feature allows you to tell the system to ignore certain words in your passage before analyzing it. It is most useful in situations when you already know that certain words are not found in the comparison corpus and you don't need the system to tell you that again. For instance, Mary Robinette Kowal's fantasy novel Shades of Milk and Honey is heavily influenced by the works of Jane Austen, but it features a hero named "Mr. Vincent" and a magic system known as "glamour". The words "vincent" and "glamour" do not appear in our 1810s corpus, so Kowal might find it useful to tell the system to discount those words.
Most of Wordsworth's features are free to use without registering, but if you are frequently using the Discount Words feature, you may wish to create an account. With a free user account, you can maintain a list of words to ignore that Wordsworth will automatically leave out of search results. You will no longer need to input these Discount Words manually every time that you want to analyze a passage of your text.
You can view a list of all books in the corpus here.
All texts come from Project Gutenberg.
All of the books in our corpus are works of fiction written in English between the years of 1800 and 1923. Additionally, the corpus focuses on stories that had a realistic, contemporary setting at the time they were published -- although we've waived that rule in order to include some influential works of genre fiction.
Although Dracula is a fantasy/horror novel and the Sherlock Holmes stories are mystery fiction, they are recognizably set in late-Victorian England and offer much valuable information about language use in that era. They have also proved extremely influential in modern pop culture. Some of our users may be writing mystery or fantasy fiction themselves, and it therefore makes sense for our corpus to include some of the foundational works of the genre.
Ben-Hur is itself a work of historical fiction, taking place in Biblical times. Therefore, its language would likely skew our corpus results in a way that wouldn't be helpful to someone who's using Wordsworth to help them write a story that is set in the 1800s. This is also why we have avoided adding other popular historical novels like Walter Scott's Ivanhoe (written 1820, set in the 1100s), Edith Wharton's The Age of Innocence (written 1920, set in the 1870s), or Charles Dickens' A Tale of Two Cities (written 1859, set in the late 1700s).
As of 2019, the public domain in the United States ends in 1923. Therefore, to avoid potential legal liability, we have avoided analyzing and storing word-frequency data from novels published in 1924 and beyond. As more 1920s novels enter the public domain in the years to come, we will try to add some of them to our corpus. If you feel that the current 95-year U.S. copyright term is ridiculously long, lobby your Congressional representatives.
We chose 1800 as our start date because that's when the Google Ngram data starts. (Google may have made this choice because English spelling was much less standardized prior to the publication of Samuel Johnson's dictionary in the UK in 1755 and Noah Webster's dictionary in the USA in 1806.) Additionally, realistic contemporary prose fiction—the mainstay of Wordsworth's corpus—wasn't really a thing in the 1500s and 1600s. However, since several users have requested a corpus for earlier centuries and there wouldn't be copyright issues with that, we will continue to think about whether and how to implement this.
Email us at marissa.wordsworth @ gmail.com and suggest it! If it fits the corpus parameters, we'll look into adding it in a subsequent release. However, we do not plan to develop a feature to allow users to update the corpus themselves.
Wordsworth is inspired by the work of Ben Schmidt, a digital-humanities professor who, in the early 2010s, wrote about trying to identify linguistic anachronisms in historical fiction screenplays by comparing them to texts written in the period they were set. Schmidt's program and corpus is not publicly available, so we decided to try to create an approximation of it.
We can't resist a literary pun and we told ourselves that no one else would overthink this.
Email the app's creator at marissa.wordsworth @ gmail.com, or submit an Issue on Wordsworth's GitHub page.


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{% import "_includes/forms" as forms %} {{ forms.lightswitchField({ label: 'Enable spam checks' | t, instructions: 'Whether to enable spam checks for comments. Enabled by default, but you may have cases where you wish to turn this off.' | t, name: 'enableSpamChecks', on: settings.enableSpamChecks, }) }}


A multi-tenant git server using NodeJS.
Read the Documented Source Code Here
Made to be able to support many git repo's and users with Read/Write customizable permissions.
To install the git server run:
npm install git-server
The GitServer is a very easy to get up and running git server. It uses the Pushover module for listening to git events, and its own layer to do the security for each repo & user.
var GitServer = require('git-server');
var newUser = {
username:'demo',
password:'demo'
}
var newRepo = {
name:'myrepo',
anonRead:false,
users: [
{ user:newUser, permissions:['R','W'] }
]
}
_g = new GitServer([ newRepo ]);
If you want onSuccessful triggers, you can add them to each repo like so:
var newRepo = {
name:'myrepo',
anonRead:false,
users: [
{ user:newUser, permissions:['R','W'] }
],
onSuccessful : {
fetch : function( repo, method ){
console.log('Successful fetch/pull/clone on repo:',repo.name);
}
push : function( repo, method ){
console.log('PUSHed:', repo.name);
// Possibly do some deploy scripts etc.
}
}
}
When we start the git server, it will default to port 7000. We can test this using git on this (or another ) machine.
git clone http://localhost:7000/myrepo.git
Since this repo does NOT allow anonymous reading, it will prompt us for a user/pass
To make this faster, we can use the basic auth structure:
git clone http://demo:demo@localhost:7000/myrepo.git
This should not prompt you for any user/pass. Also in the future when you push changes, or pull, it will not ask you for this info again.
The ability to use HTTPS is now implemented for the module (not the cli yet). This is important so that your username & password is encrypted when being sent over the wire. If you are not using username/password then you may want to disregard this section.
To enable HTTPS, send the module the 'cert' param:
var fs = require('fs');
var certs = {
key : fs.readFileSync('../certs/privatekey.pem')
cert : fs.readFileSync('../certs/certificate.pem')
};
_g = new GitServer([ newRepo ], undefined, undefined, undefined, certs);
To create these certs you can run:
openssl genrsa -out privatekey.pem 1024
openssl req -new -key privatekey.pem -out certrequest.csr
openssl x509 -req -in certrequest.csr -signkey privatekey.pem -out certificate.pem
Also, be aware that when using HTTPS for the git server, when you try to clone,etc. It will give you an SSL error because git (which uses CURL) cannot verify the SSL Cert. To correct this, install a actual, verified SSL Cert ( Free ones here: StartCom )
If you want to keep using the self signed cert like we created above ^ just tell git to not verify the cert. ( Other ways to do it here )
export GIT_SSL_NO_VERIFY=true
And you are good to go!
When you install this package globally using
sudo npm install -g git-server
You will now have a CLI interface you can run and interact with.
Get started by typing git-server
or gitserver
into your terminal.
You should see something similar to this:
With this interface you can type the following to see the available commands:
git-server> help
You will see a list of possible commands, just enter a command and the prompt will ask you for any additional details needed.
please contribute
(The MIT License)
Copyright (c) 2010 Quinton Pike
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


All Classes
ADX
ADXCalculator
CrossoverCal
CrossOverDirection
DMACalc
EMACalculator
MACD
MACDCalculator
OBVCalculator
PSARCalculator
RSICalculator
SMACalculator


Former cop Brian O'Conner (Paul Walker) is called upon to bust a dangerous criminal and he recruits the help of a former childhood friend and street racer Roman Pearce (Tyrese Gibson) who has a chance to redeem himself.
The movie received two Razzie Award nominations including Worst Remake or Sequel and Worst Excuse for an Actual Movie (All Concept/No Content).
So much neon lighting was used in the cars that a technical specialist whose expertise was in shooting neon on film was kept on set at all times.
The rear wing on Brian O'Conner's Nissan Skyline was made entirely of carbon fiber and cost 2,000 dollars.
Suki says the line "Move bitch" in the opening race. Ludacris has a famous single titled Move Bitch.


This is an example client to demo the sandboxed compiling.
Result:
Output appears here
Error:
Error appears here
Output of all tests appear here


Please Contact Us About Information About Let's Go Places!
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Dubai Airports prepares to cut single-use plastics
UAE – Mubasher: As the clock is ticking towards the self-imposed deadline to ban single-use plastics, Dubai International Airport (DXB) is actively laying the groundwork to eliminate plastic cutlery and drinking straws.
In June 2019, Dubai Airports vowed that Dubai’s two airports DXB and Dubai World Central (DWC) will be free of single-use plastics as from 1 January 2020.
The operator of the world’s busiest airports has been working with over 250 of its hospitality and concession partners to implement the pledge by the beginning of the new year.
"Among the challenges faced, the biggest is sourcing alternatives for plastic bottles, one of the most frequently used and discarded pieces of single-use plastics,” Dubai Airports’ executive vice president commercial Eugene Barry said.
In the first phase of the pledge, cafés, restaurants and shops will no longer use plastic cutlery, take-away food packaging and polythene bags, while in the next 12 months, additional products will be replaced.
“Along with our partners, including global brands such as McDonalds, Costa Coffee and Starbucks, we are committed to not only removing single-use plastics but in their place providing appropriate and importantly sustainable alternatives,” Barry said.
Fast food giant McDonald’s said it will replace more than 5.6 million items with recyclable materials at the two airports, while Costa Coffee pledged to replace its plastic-lined cups with a fully renewable, plant-based “smart” cups.
Source: Mubasher Source: {{details.article.source}}


June's Plant Shop
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You will never forget your friends' birthday!


The biggest barrier to long term refugee success in their new country is meaningful employment. Askari connects refugees with senior workers in their industry directly to provider mentorship opportunities.
Networking is the most critical part of employment success. 70% of jobs are not advertised. Askari will connect refugees with mentors that have or can refer openings.
Inudstry culture and knowledge is often not acquired through formal education. Askari will enable refugees to learn from the best in their industry.
Get relevant search result for your industry and location
A rating system to keep mentors and mentees accountable.
Aksari comes with 10 of the most common languages that current refugee use.
The Askari Platform is a Web API provided by the Askari refugee relationship management system that allows third-party developers to create their own applications and services that access, stores and manipulates data in the Askari Platform.
The platform offers a set of REST Endpoints which enable your matching platform to integrate your applications with the refugee relationship management system to help assist vulnerable people by forming personal and professional connections. External websites and devices are all allowed to access the API.


Elitists Could Ruin Tech Communities
Online tech groups are filled with people who have similar interests and knowledge to share. They should be good places to find inspiration, learn, make friends, and even start a career, but there’s a disturbing undercurrent of disdain for members with less experience. Elitist jerks with bad attitudes leaving rude comments could ruin it for everyone.
Unfortunately, I see a disappointing number of unfriendly responses that I tend to think of as “The Asshole Response“. These responses are usually very short and often make use of acronyms like RTFM and reference URLs like LMGTFY. Sometimes they aren’t responses at all, but just links to some third-party site without any explanation. At its worst, this is tantamount to bullying and could stop good people from taking part in the community.
For some groups, the policy clearly states that questions must be well-researched, but this is a mistake. By their very nature, public forums and groups, especially on sites like Facebook, are a waste of time for most of the participants. Anyone who participates has already decided to waste their time. So, the complaint that an unresearched question wastes the time of the community is invalid. Besides, asking and answering questions that have been answered before is the fundamental basis of all education.
There’s more to a community than just questions and answers. It would be better to encourage people to ask first when they’re having a problem. When that fails, use a search engine or reference some documentation. Anyone who dismisses a question or disrespects the asker because it wasn’t well researched is degrading the community.


| io.github.nathanpb.bb.BootManager |
Class responsible for starting the execution process and define the phase list. Can be extended to override event methods. |
| io.github.nathanpb.bb.phases.Phase |
POJO for a single phase on boot process. Usually the developers will not directly interact with this, but with PhaseWrapper instead. |
| io.github.nathanpb.bb.phases.RootPhase |
Just a dummy class to represent empty phases. |


You pull w isps of shadow material from the Shadowfell to create a nonliving object of vegetable matter within range: soft goods, rope, wood, or something similar. You can also use this spell to create mineral objects such as stone, crystal, or metal. The object created must be no larger than a 5-foot cube, and the object must be of a form and material that you have seen before.
The duration depends on the object's material. If the object is composed of multiple materials, use the shortest duration.
Using any material created by this spell as another spell's material component causes that spell tofail.
At Higher Levels. When you cast this spell using a spell slot of 6th level or higher, the cube increases by 5 feet for each slot level above 5th.


In the early 1990’s, Mike Hudgins, the founder of The Mercy Warehouse, was on a humanitarian trip to the impoverished nation of Calcutta, now named Kolkata. While there, he decided that he would visit Mother Teresa. He wound up speaking with her in her compound while seated on a bench outside her bedroom door. She told him that he needed to “look, see, and do something about it” - even in his own hometown. This became the driving vision behind The Mercy Warehouse. We began doing just that in 2008 during the recession, and have been helping those in need ever since.


|
Parallel PopGen Package
|
functor: models logistic growth of population size (individuals) over time More...
Public Member Functions | |
| demography_logistic_growth () | |
| default constructor More... | |
| demography_logistic_growth (float rate, int initial_population_size, int carrying_capacity, int generation_shift=0) | |
| constructor More... | |
| __host__ __device__ __forceinline__ int | operator() (const int population, const int generation) const |
Demographic operator, returns population size (individuals), N , for a given population, generation More... | |
Public Attributes | |
| float | rate |
| logistic growth rate More... | |
| int | initial_population_size |
| initial population size More... | |
| int | carrying_capacity |
| carrying capacity More... | |
| int | generation_shift |
| number of generations to shift function backwards More... | |
functor: models logistic growth of population size (individuals) over time
Definition at line 189 of file go_fish.cuh.
|
inline |
default constructor
all parameters set to 0
Definition at line 303 of file template_inline_simulation_functors.cuh.
|
inline |
constructor
| generation_shift | (optional input) default 0 |
Definition at line 304 of file template_inline_simulation_functors.cuh.
| __host__ __device__ __forceinline__ int Sim_Model::demography_logistic_growth::operator() | ( | const int | population, |
| const int | generation | ||
| ) | const |
Demographic operator, returns population size (individuals), N
, for a given population, generation
exp_term =
\(e^{\textrm{rate*(generation-generation_shift)}} \)
N = round((carrying_capacity*initial_population_size*exp_term)
\(\div\)(carrying_capacity + initial_population_size*(exp_term-1)))
Definition at line 307 of file template_inline_simulation_functors.cuh.
| float Sim_Model::demography_logistic_growth::rate |
logistic growth rate
Definition at line 191 of file go_fish.cuh.
| int Sim_Model::demography_logistic_growth::initial_population_size |
initial population size
Definition at line 192 of file go_fish.cuh.
| int Sim_Model::demography_logistic_growth::carrying_capacity |
carrying capacity
Definition at line 193 of file go_fish.cuh.
| int Sim_Model::demography_logistic_growth::generation_shift |
number of generations to shift function backwards
useful if you are starting the simulation from a previous simulation state and this function is expecting to start at 0 or any scenario where you want to shift the generation of the function relative to the simulation generation
Definition at line 194 of file go_fish.cuh.


Make sure your browser version supports running in headless mode
For running Chrome and Firefox in a virtual display when the headless mode is not supported. Make sure Xvfb is running under this port. E.g. Xvfb :51 -screen 0 1280x720x16 & export DISPLAY=:51. Only works with Linux.
Timeouts


This means that the SAST Scanner has detected several problems by analyzing the Abstract Syntax Tree (AST) of a JavaScript source code. All warnings are accurately documented here.


Education
Master of Industrial and Systems Engineering
Master of Science: Pure Mathematics
Bachelor of Science: Mathematics
Currently working on Associate of Science in Computer Technology
Current Job: Adjunct Instructor in Mathematics at various places
When I had hobbies they included: gardening, sewing, and baking. I
went vegetarian and I am trying to go vegan so I don't bake much anymore
and I drive from campus to campus teaching and I also am working on
my Associates degree.


Matsue Women's Half Marathon
Matsue JPN
Race Winners
(39 runnings)
18 Mar
2007
19
Mar
2006
20
Mar
2005
21 Mar
2004
16
Mar
2003
17
Mar
2002
18
Mar
2001
19
Mar
2000
14
Mar
1999
15
Mar
1998
09
Mar
1997
10
Mar
1996
12
Mar
1995
13
Mar
1994
14
Mar
1993
08
Mar
1992
17
Mar
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
17
Mar 2019
1:11:27
Yuka Suzuki (JPN)
18
Mar 2018
1:11:39
Tomomi Tanaka (JPN)
19
Mar 2017
1:10:09
Grace Mbuthi Kimanzi (KEN)
20 Mar
2016
1:11:48
Miharu Shimokado (JPN)
15 Mar
2015
1:10:36
Asami Kato (JPN)
16 Mar
2014
1:10:17
Ayumi Hagiwara (JPN)
17 Mar
2013
1:11:11
Dorika Obare Kerubo-2
18 Mar
2012
1:11:10
Ayame Takaki (JPN)
2011
---
cancelled
21 Mar
2010
1:10:53
Dorika Obare Kerubo (KEN)
15 Mar
2009
1:10:09
Mara Yamauchi-2
16 Mar
2008
1:09:59
Mara Yamauchi (JPN)
1:09:25
Chisato Osaki (JPN)
1:11:18
Fyles Ongori (KEN)
1:11:06
Miki Ohira-2
1:10:13
Miki Ohira (JPN)
1:11:12
Nozmi Iijima (JPN)
1:11:39
Haruko Yamamoto (JPN)
1:11:41
Kiyomi Ogawa (JPN)
1:09:31
Yoko Shibui (JPN)
1:10:54
Fatuma Roba (ETH)
1:12:54
Nuta Olaru (ROM)
1:10:35
Naoko Takahashi (JPN)
1:12:37
Mari Harada (JPN)
1:13:28
Fumiyo Shinoko (JPN)
1:12:21
Yukari Komatsu (JPN)
1:13:12
Natsue Koikawa (JPN)
1:12:09
Rosa Mota (POR)
1:13:50
Mari Tanigawa (JPN)
1:20:52
Hong Wang (CHN)
1:19:46
Kiyomi Matsuura (JPN)
---
not recorded
---
not recorded
1:23:39
Atsuko Shigefuji (JPN)
1:21:57
Sachiko Ishikawa (JPN)
---
not recorded
---
not recorded
---
not recorded
---
not recorded
---
not recorded
Notes: The race distance for 1980-1986 was 20 km and for 1987-88 was 10 km. Winners were not recorded for 1980-84 and
1987-88.
Most Wins (1980-date)
Women
2
Miki Ohira (JPN)
2004-05
Mara Yamauchi
(JPN)
2008-09
Prize Money
(ADR qualified runners)
No information on prize money has been received for this race.
Race Time Bias (sec/km)
Year Women 2017 -4.4 2016 -3.1 2015 -4.3 2014 -1.2 2013 -3.2 2012 -1.2 .... 2009 -2.5 2008 +0.2 2007 +0.8 2006 -0.1 2005 -1.7 .... 2003 -0.8 2002 -0.5 .... 1999 -0.1 Avgs -1.6
Competitive Level (1990-date)
Year Women 2017 448 2016 380 2015 535 2014 618 2013 437 2012 391 .... 2010 504 2009 620 2008 570 2007 591 2006 458 2005 667 .... 2003 562 2002 596 .... 1999 686
Quality Performances
Women <1:10:00 5 <1:11:00 19 <1:12:00 74 <1:13:00 154 <1:14:00 249 <1:15:00 336
Matsue Women's 10 km
Race Winners
(20 runnings)
18 Mar
2007
19
Mar
2006
20
Mar
2005
21 Mar
2004
16
Mar
2003
17
Mar
2002
18
Mar
2001
19
Mar
2000
14
Mar
1999
Most Wins
(1999-date) Women
Quality Performances
Notes: 1999 is believed to have been the inaugural year.
17
Mar 2019
33:13
Ayari Harada (JPN)
18
Mar 2018
32:29
Yuka Takashima (JPN)
19
Mar 2017
33:14
Dorika Obare Kerubo-3
20 Mar
2016
32:33
Dorika Obare Kerubo-2
15 Mar
2015
32:37
Dorika Obare Kerubo (KEN)
16 Mar
2014
33:02
Miho Shimizu (JPN)
17 Mar
2013
33:19
Ayumi Hagiwara (JPN)
18 Mar
2012
33:46
Maki Arai (JPN)
2011
---
cancelled
21 Mar
2010
34:12
Chinami Hiruta (JPN)
15 Mar
2009
33:29
Miho Nomiyama (JPN)
16 Mar
2008
33:05
Chiaki Takagi (JPN)
34:27
Maki Arai (JPN)
34:42
Yumiko Kinoshita (JPN)
33:06
Everline Kimwei (KEN)
33:16
Ayumi Hashimoto (JPN)
---
n/a
---
n/a
---
n/a
33:53
Yoshiko Nagai (JPN)
34:36
Chikae Kurihara (JPN)
No woman has won more than once, according to available information.
Prize Money
(ADR qualified runners)
No information on prize money has been received for this race.
Race Time Bias (sec/km)
Insufficient data to calculate the race time bias.
Competitive Level (1990-date)
Year Women
2015 252
2014 366
Women
<33:00 2
<33:30 15
<34:00 24
<34:30 36
<35:00 55
Last Updated on 10 May 2019 mp
Contributors: Brett Larner (50), Shigenobu Ota (6)