Python PISM.setVerbosityLevel方法代码示例

# 需要导入模块: import PISM [as 别名]
# 或者: from PISM import setVerbosityLevel [as 别名]
def logging_test():
    "Test the PISM.logging module"
    grid = create_dummy_grid()
    pio = PISM.PIO(grid.com, "netcdf3")

    import PISM.logging as L

    pio.open("log.nc", PISM.PISM_READWRITE_MOVE)
    pio.close()
    c = L.CaptureLogger("log.nc")

    L.clear_loggers()

    L.add_logger(L.print_logger)
    L.add_logger(c)

    PISM.setVerbosityLevel(2)

    L.log("log message\n", L.kError)

    L.logError("error message\n")

    L.logWarning("warning message\n")

    L.logMessage("log message (again)\n")

    L.logDebug("debug message\n")

    L.logPrattle("prattle message\n")

    c.write()                   # default arguments
    c.readOldLog()

    pio.open("other_log.nc", PISM.PISM_READWRITE_MOVE)
    pio.close()
    c.write("other_log.nc", "other_log")  # non-default arguments

# 需要导入模块: import PISM [as 别名]
# 或者: from PISM import setVerbosityLevel [as 别名]
          vel_bc(i,j).v = v;
  
    for v in vars:
      v.beginGhostComm(); v.endGhostComm()

  def exactSolution(self,i,j,x,y):
    earth_grav = self.config.get("standard_gravity");
    f = self.ice.rho * earth_grav * H0* dhdx;
    ynd = y/L
  
    u = 0.5*(f**3)*(L**4)/((B0*H0)**3)*(1-ynd**4);
    return [u,0]

# The main code for a run follows:
if __name__ == '__main__':
  context = PISM.Context()

  PISM.set_abort_on_sigint(True)

  for o in PISM.OptionsGroup(context.com,"","Test J"):
    Mx = PISM.optionsInt("-Mx","Number of grid points in x-direction",default=61)
    My = PISM.optionsInt("-My","Number of grid points in y-direction",default=61)
    output_file = PISM.optionsString("-o","output file",default="test_plug.nc")
    verbosity = PISM.optionsInt("-verbose","verbosity level",default=3)

  PISM.setVerbosityLevel(verbosity)
  tc = test_plug(Mx,My)
  tc.solve()
  tc.report()
  tc.write(output_file)

# 需要导入模块: import PISM [as 别名]
# 或者: from PISM import setVerbosityLevel [as 别名]
def run():
    context = PISM.Context()
    config = context.config
    com = context.com
    PISM.set_abort_on_sigint(True)

    WIDE_STENCIL = int(config.get_double("grid_max_stencil_width"))

    usage = \
        """  pismi.py [-i IN.nc [-o OUT.nc]]/[-a INOUT.nc] [-inv_data inv_data.nc] [-inv_forward model] 
                [-inv_design design_var] [-inv_method meth] 
    where:
    -i            IN.nc       is input file in NetCDF format: contains PISM-written model state
    -o            OUT.nc      is output file in NetCDF format to be overwritten
    -a            INOUT.nc    is input/output file in NetCDF format to be appended to
    -inv_data     inv_data.nc is data file containing extra inversion data (e.g. observed surface velocities)
    -inv_forward  model       forward model: only 'ssa' supported
    -inv_design   design_var  design variable name; one of 'tauc'/'hardav' for SSA inversions
    -inv_method   meth        algorithm for inversion [sd,nlcg,ign,tikhonov_lmvm]

    notes:
      * only one of -i/-a is allowed; both specify the input file
      * only one of -o/-a is allowed; both specify the output file
      * if -o is used, only the variables involved in inversion are written to the output file.
      * if -a is used, the varaibles involved in inversion are appended to the given file. No
        original variables in the file are changed.
   """

    append_mode = False
    PISM.setVerbosityLevel(1)

    input_filename = PISM.optionsString("-i", "input file")
    append_filename = PISM.optionsString("-a", "append file", default=None)
    output_filename = PISM.optionsString("-o", "output file", default=None)

    if (input_filename is None) and (append_filename is None):
        PISM.verbPrintf(1, com, "\nError: No input file specified. Use one of -i [file.nc] or -a [file.nc].\n")
        sys.exit(0)

    if (input_filename is not None) and (append_filename is not None):
        PISM.verbPrintf(1, com, "\nError: Only one of -i/-a is allowed.\n")
        sys.exit(0)

    if (output_filename is not None) and (append_filename is not None):
        PISM.verbPrintf(1, com, "\nError: Only one of -a/-o is allowed.\n")
        sys.edit(0)

    if append_filename is not None:
        input_filename = append_filename
        output_filename = append_filename
        append_mode = True

    inv_data_filename = PISM.optionsString("-inv_data", "inverse data file", default=input_filename)
    verbosity = PISM.optionsInt("-verbose", "verbosity level", default=2)

    do_plotting = PISM.optionsFlag("-inv_plot", "perform visualization during the computation", default=False)
    do_final_plot = PISM.optionsFlag("-inv_final_plot", "perform visualization at the end of the computation", default=False)
    Vmax = PISM.optionsReal("-inv_plot_vmax", "maximum velocity for plotting residuals", default=30)

    design_var = PISM.optionsList("-inv_ssa",
                                  "design variable for inversion",
                                  "tauc,hardav", "tauc")
    do_pause = PISM.optionsFlag("-inv_pause", "pause each iteration", default=False)

    do_restart = PISM.optionsFlag("-inv_restart", "Restart a stopped computation.", default=False)
    use_design_prior = PISM.optionsFlag("-inv_use_design_prior", "Use prior from inverse data file as initial guess.", default=True)

    prep_module = PISM.optionsString("-inv_prep_module", "Python module used to do final setup of inverse solver", default=None)

    is_regional = PISM.optionsFlag("-regional", "Compute SIA/SSA using regional model semantics", default=False)

    using_zeta_fixed_mask = PISM.optionsFlag("-inv_use_zeta_fixed_mask",
                                             "Enforce locations where the parameterized design variable should be fixed. (Automatically determined if not provided)", default=True)

    inv_method = config.get_string("inv_ssa_method")

    if output_filename is None:
        output_filename = "pismi_" + os.path.basename(input_filename)

    saving_inv_data = (inv_data_filename != output_filename)

    PISM.setVerbosityLevel(verbosity)
    forward_run = SSAForwardRun(input_filename, inv_data_filename, design_var)
    forward_run.setup()
    design_param = forward_run.designVariableParameterization()
    solver = PISM.invert.ssa.createInvSSASolver(forward_run)

    modeldata = forward_run.modeldata
    vecs = modeldata.vecs
    grid = modeldata.grid

    # Determine the prior guess for tauc/hardav. This can be one of
    # a) tauc/hardav from the input file (default)
    # b) tauc/hardav_prior from the inv_datafile if -inv_use_design_prior is set
    design_prior = createDesignVec(grid, design_var, '%s_prior' % design_var)
    long_name = design_prior.metadata().get_string("long_name")
    units = design_prior.metadata().get_string("units")
    design_prior.set_attrs("", "best prior estimate for %s (used for inversion)" % long_name, units, "")
    if PISM.util.fileHasVariable(inv_data_filename, "%s_prior" % design_var) and use_design_prior:
        PISM.logging.logMessage("  Reading '%s_prior' from inverse data file %s.\n" % (design_var, inv_data_filename))
#.........这里部分代码省略.........

# 需要导入模块: import PISM [as 别名]
# 或者: from PISM import setVerbosityLevel [as 别名]
            view(TStarR, TStarR_viewer)
            view(TStarR_indirect, TStarR_indirect_viewer)
            view(d_TStarR, d_TStarR_viewer)

            PISM.logging.pause()


# Main code starts here
if __name__ == "__main__":
    context = PISM.Context()
    config = context.config
    com = context.com
    PISM.set_abort_on_sigint(True)

    append_mode = False
    PISM.setVerbosityLevel(1)

    input_filename = PISM.optionsString("-i", "input file")
    inv_data_filename = PISM.optionsString("-inv_data", "inverse data file", default=input_filename)
    verbosity = PISM.optionsInt("-verbose", "verbosity level", default=2)
    use_design_prior = PISM.optionsFlag("-inv_use_design_prior", "Use prior from inverse data file as initial guess.", default=True)
    design_var = PISM.optionsList("-inv_ssa", "design variable for inversion", ["tauc", "hardav"], "tauc")
    using_zeta_fixed_mask = PISM.optionsFlag("-inv_use_zeta_fixed_mask",
                                             "Enforce locations where the parameterized design variable should be fixed. (Automatically determined if not provided)", default=True)

    ssarun = PISM.invert.ssa.SSAForwardRunFromInputFile(input_filename, inv_data_filename, design_var)
    ssarun.setup()

    vecs = ssarun.modeldata.vecs
    grid = ssarun.grid