def write2grid(prof, prof_name, grid_path, overwrite=False): '''Write profile to a specified grid file. Parameters: prof -- 1D or 2D array, an equilibrium quantity to be written to the grid file. An easy way to generate an appropriate profile is to use the interpolate2grid(...) routine above prof_name -- str, name assigned to profile in grid file grid_path -- str, path to the grid file to interpolate onto overwrite -- bool, if False, this will prevent overwiting a preexisting grid variable with the same name as prof_name Returns: True if the write is successful, False otherwise. ''' grid_file = DataFile(grid_path, write=True) if not overwrite and (prof_name in grid_file.list()): raise ValueError(prof_name + ' is already in use in ' + grid_path + '. Specify overwrite=True to overwrite existing profile') grid_file.write(prof_name, prof) return 0
def file_import(name): f = DataFile(name) # Open file varlist = f.list() # Get list of all variables in file data = {} # Create empty dictionary for v in varlist: data[v] = f.read(v) f.close() return data
def run(self): # self.display.string += 'File' + '\n' f = DataFile() DataFile.open(f,self.path+self.filename) varlist = f.list() self.display.string += 'Variables in file :' + '\t' + 'No. of Dims.' + '\n' for i in varlist: self.display.string += str(i)+ '\t' + str(f.ndims(i))+ '\n' f.close()
def split(nxpe, nype, path="data", output="./", informat="nc", outformat=None): """Split restart files across NXPE x NYPE processors. Returns True on success """ if outformat == None: outformat = informat mxg = 2 myg = 2 npes = nxpe * nype if npes <= 0: print "ERROR: Negative or zero number of processors" return False if path == output: print "ERROR: Can't overwrite restart files" return False file_list = glob.glob(os.path.join(path, "BOUT.restart.*."+informat)) nfiles = len(file_list) if nfiles == 0: print "ERROR: No restart files found" return False # Read old processor layout f = DataFile(os.path.join(path, file_list[0])) # Get list of variables var_list = f.list() if len(var_list) == 0: print "ERROR: No data found" return False old_npes = f.read('NPES') old_nxpe = f.read('NXPE') if nfiles != old_npes: print "WARNING: Number of restart files inconsistent with NPES" print "Setting nfiles = " + str(old_npes) nfiles = old_npes if old_npes % old_nxpe != 0: print "ERROR: Old NPES is not a multiple of old NXPE" return False old_nype = old_npes / old_nxpe if nype % old_nype != 0: print "SORRY: New nype must be a multiple of old nype" return False if nxpe % old_nxpe != 0: print "SORRY: New nxpe must be a multiple of old nxpe" return False # Get dimension sizes old_mxsub = 0 old_mysub = 0 mz = 0 for v in var_list: if f.ndims(v) == 3: s = f.size(v) old_mxsub = s[0] - 2*mxg old_mysub = s[1] - 2*myg mz = s[2] break f.close() # Calculate total size of the grid nx = old_mxsub * old_nxpe ny = old_mysub * old_nype print "Grid sizes: ", nx, ny, mz # Create the new restart files for mype in range(npes): # Calculate X and Y processor numbers pex = mype % nxpe pey = int(mype / nxpe) old_pex = int(pex / xs) old_pey = int(pey / ys) old_x = pex % xs old_y = pey % ys # Old restart file number old_mype = old_nxpe * old_pey + old_pex # Calculate indices in old restart file xmin = old_x*mxsub xmax = xmin + mxsub - 1 + 2*mxg ymin = old_y*mysub ymax = ymin + mysub - 1 + 2*myg print "New: "+str(mype)+" ("+str(pex)+", "+str(pey)+")" print " => "+str(old_mype)+" ("+str(old_pex)+", "+str(old_pey)+") : ("+str(old_x)+", "+str(old_y)+")"
def resizeY(newy, path="data", output=".", informat="nc", outformat=None,myg=2): """ Resize all the restart files in Y """ if outformat == None: outformat = informat file_list = glob.glob(os.path.join(path, "BOUT.restart.*."+informat)) nfiles = len(file_list) if nfiles == 0: print("ERROR: No restart files found") return False for i in range(nfiles): # Open each data file infname = os.path.join(path, "BOUT.restart."+str(i)+"."+informat) outfname = os.path.join(output, "BOUT.restart."+str(i)+"."+outformat) print("Processing %s -> %s", infname, outfname) infile = DataFile(infname) outfile = DataFile(outfname, create=True) # Copy basic information for var in ["hist_hi", "NPES", "NXPE", "tt"]: data = infile.read(var) try: # Convert to scalar if necessary data = data[0] except: pass outfile.write(var, data) # Get a list of variables varnames = infile.list() for var in varnames: if infile.ndims(var) == 3: # Could be an evolving variable [x,y,z] print(" -> " + var) # Read variable from input indata = infile.read(var) nx,ny,nz = indata.shape # y coordinate in input and output data iny = (arange(ny) - myg + 0.5) / (ny - 2*myg) outy = (arange(newy) - myg + 0.5) / (newy - 2*myg) outdata = zeros([nx, newy, nz]) for x in range(nx): for z in range(nz): f = interp1d(iny, indata[x,:,z], bounds_error=False, fill_value=0.0) outdata[x,:,z] = f(outy) outfile.write(var, outdata) infile.close() outfile.close()
def redistribute(npes, path="data", nxpe=None, output=".", informat=None, outformat=None, mxg=2, myg=2): """Resize restart files across NPES processors. Does not check if new processor arrangement is compatible with the branch cuts. In this respect restart.split is safer. However, BOUT++ checks the topology during initialisation anyway so this is not too serious. Parameters ---------- npes : int number of processors for the new restart files path : string, optional location of old restart files nxpe : int, optional number of processors to use in the x-direction (determines split: npes = nxpe * nype). Default is None which uses the same algorithm as BoutMesh (but without topology information) to determine a suitable value for nxpe. output : string, optional location to save new restart files informat : string, optional specify file format of old restart files (must be a suffix understood by DataFile, e.g. 'nc'). Default uses the format of the first 'BOUT.restart.*' file listed by glob.glob. outformat : string, optional specify file format of new restart files (must be a suffix understood by DataFile, e.g. 'nc'). Default is to use the same as informat. Returns ------- True on success """ if npes <= 0: print("ERROR: Negative or zero number of processors") return False if path == output: print("ERROR: Can't overwrite restart files") return False if informat == None: file_list = glob.glob(os.path.join(path, "BOUT.restart.*")) else: file_list = glob.glob(os.path.join(path, "BOUT.restart.*."+informat)) nfiles = len(file_list) # Read old processor layout f = DataFile(file_list[0]) # Get list of variables var_list = f.list() if len(var_list) == 0: print("ERROR: No data found") return False old_npes = f.read('NPES') old_nxpe = f.read('NXPE') old_nype = int(old_npes/old_nxpe) if nfiles != old_npes: print("WARNING: Number of restart files inconsistent with NPES") print("Setting nfiles = " + str(old_npes)) nfiles = old_npes if nfiles == 0: print("ERROR: No restart files found") return False informat = file_list[0].split(".")[-1] if outformat == None: outformat = informat old_mxsub = 0 old_mysub = 0 mz = 0 for v in var_list: if f.ndims(v) == 3: s = f.size(v) old_mxsub = s[0] - 2*mxg if old_mxsub < 0: if s[0] == 1: old_mxsub = 1 mxg = 0 elif s[0] == 3: old_mxsub = 1 mxg = 1 else: print("Number of x points is wrong?") return False old_mysub = s[1] - 2*myg if old_mysub < 0: if s[1] == 1: old_mysub = 1 myg = 0 elif s[1] == 3: old_mysub = 1 myg = 1 else: print("Number of y points is wrong?") return False mz = s[2] break # Calculate total size of the grid nx = old_mxsub * old_nxpe ny = old_mysub * old_nype print("Grid sizes: ", nx, ny, mz) if nxpe == None: # Copy algorithm from BoutMesh for selecting nxpe ideal = sqrt(float(nx) * float(npes) / float(ny)) # Results in square domain for i in range(1,npes+1): if npes%i == 0 and nx%i == 0 and int(nx/i) >= mxg and ny%(npes/i) == 0: # Found an acceptable value # Warning: does not check branch cuts! if nxpe==None or abs(ideal - i) < abs(ideal - nxpe): nxpe = i # Keep value nearest to the ideal if nxpe == None: print("ERROR: could not find a valid value for nxpe") return False nype = int(npes/nxpe) outfile_list = [] for i in range(npes): outpath = os.path.join(output, "BOUT.restart."+str(i)+"."+outformat) outfile_list.append(DataFile(outpath, write=True, create=True)) infile_list = [] for i in range(old_npes): inpath = os.path.join(path, "BOUT.restart."+str(i)+"."+outformat) infile_list.append(DataFile(inpath)) old_mxsub = int(nx/old_nxpe) old_mysub = int(ny/old_nype) mxsub = int(nx/nxpe) mysub = int(ny/nype) for v in var_list: ndims = f.ndims(v) #collect data if ndims == 0: #scalar data = f.read(v) elif ndims == 2: data = numpy.zeros( (nx+2*mxg,ny+2*nyg) ) for i in range(old_npes): ix = i%old_nxpe iy = int(i/old_nxpe) ixstart = mxg if ix == 0: ixstart = 0 ixend = -mxg if ix == old_nxpe-1: ixend = 0 iystart = myg if iy == 0: iystart = 0 iyend = -myg if iy == old_nype-1: iyend = 0 data[ix*old_mxsub+ixstart:(ix+1)*old_mxsub+2*mxg+ixend, iy*old_mysub+iystart:(iy+1)*old_mysub+2*myg+iyend] = infile_list[i].read(v)[ixstart:old_mxsub+2*mxg+ixend, iystart:old_mysub+2*myg+iyend] elif ndims == 3: data = numpy.zeros( (nx+2*mxg,ny+2*myg,mz) ) for i in range(old_npes): ix = i%old_nxpe iy = int(i/old_nxpe) ixstart = mxg if ix == 0: ixstart = 0 ixend = -mxg if ix == old_nxpe-1: ixend = 0 iystart = myg if iy == 0: iystart = 0 iyend = -myg if iy == old_nype-1: iyend = 0 data[ix*old_mxsub+ixstart:(ix+1)*old_mxsub+2*mxg+ixend, iy*old_mysub+iystart:(iy+1)*old_mysub+2*myg+iyend, :] = infile_list[i].read(v)[ixstart:old_mxsub+2*mxg+ixend, iystart:old_mysub+2*myg+iyend, :] else: print("ERROR: variable found with unexpected number of dimensions,",ndims,v) return False # write data for i in range(npes): ix = i%nxpe iy = int(i/nxpe) outfile = outfile_list[i] if v == "NPES": outfile.write(v,npes) elif v == "NXPE": outfile.write(v,nxpe) elif ndims == 0: # scalar outfile.write(v,data) elif ndims == 2: # Field2D outfile.write(v,data[ix*mxsub:(ix+1)*mxsub+2*mxg, iy*mysub:(iy+1)*mysub+2*myg]) elif ndims == 3: # Field3D outfile.write(v,data[ix*mxsub:(ix+1)*mxsub+2*mxg, iy*mysub:(iy+1)*mysub+2*myg, :]) else: print("ERROR: variable found with unexpected number of dimensions,",f.ndims(v)) f.close() for infile in infile_list: infile.close() for outfile in outfile_list: outfile.close() return True
def create(averagelast=1, final=-1, path="data", output="./", informat="nc", outformat=None): """ Create restart files from data (dmp) files. Inputs ====== averagelast Number of time points to average over. Default is 1 i.e. just take last time-point final The last time point to use. Default is last (-1) path Path to the input data files output Path where the output restart files should go informat Format of the input data files outformat Format of the output restart files """ if outformat == None: outformat = informat file_list = glob.glob(os.path.join(path, "BOUT.dmp.*."+informat)) nfiles = len(file_list) print(("Number of data files: ", nfiles)) for i in range(nfiles): # Open each data file infname = os.path.join(path, "BOUT.dmp."+str(i)+"."+informat) outfname = os.path.join(output, "BOUT.restart."+str(i)+"."+outformat) print((infname, " -> ", outfname)) infile = DataFile(infname) outfile = DataFile(outfname, create=True) # Get the data always needed in restart files hist_hi = infile.read("iteration") print(("hist_hi = ", hist_hi)) outfile.write("hist_hi", hist_hi) t_array = infile.read("t_array") tt = t_array[final] print(("tt = ", tt)) outfile.write("tt", tt) NXPE = infile.read("NXPE") NYPE = infile.read("NYPE") NPES = NXPE * NYPE print(("NPES = ", NPES, " NXPE = ", NXPE)) outfile.write("NPES", NPES) outfile.write("NXPE", NXPE) # Get a list of variables varnames = infile.list() for var in varnames: if infile.ndims(var) == 4: # Could be an evolving variable print((" -> ", var)) data = infile.read(var) if averagelast == 1: slice = data[final,:,:,:] else: slice = mean(data[(final - averagelast):final,:,:,:], axis=0) print(slice.shape) outfile.write(var, slice) infile.close() outfile.close()
def create(averagelast=1, final=-1, path="data", output="./", informat="nc", outformat=None): """ Create restart files from data (dmp) files. Inputs ====== averagelast Number of time points to average over. Default is 1 i.e. just take last time-point final The last time point to use. Default is last (-1) path Path to the input data files output Path where the output restart files should go informat Format of the input data files outformat Format of the output restart files """ if outformat == None: outformat = informat file_list = glob.glob(os.path.join(path, "BOUT.dmp.*." + informat)) nfiles = len(file_list) print "Number of data files: ", nfiles for i in range(nfiles): # Open each data file infname = os.path.join(path, "BOUT.dmp." + str(i) + "." + informat) outfname = os.path.join(output, "BOUT.restart." + str(i) + "." + outformat) print infname, " -> ", outfname infile = DataFile(infname) outfile = DataFile(outfname, create=True) # Get the data always needed in restart files hist_hi = infile.read("iteration") print "hist_hi = ", hist_hi outfile.write("hist_hi", hist_hi) t_array = infile.read("t_array") tt = t_array[final] print "tt = ", tt outfile.write("tt", tt) NXPE = infile.read("NXPE") NYPE = infile.read("NYPE") NPES = NXPE * NYPE print "NPES = ", NPES, " NXPE = ", NXPE outfile.write("NPES", NPES) outfile.write("NXPE", NXPE) # Get a list of variables varnames = infile.list() for var in varnames: if infile.ndims(var) == 4: # Could be an evolving variable print " -> ", var data = infile.read(var) if averagelast == 1: slice = data[final, :, :, :] else: slice = mean(data[(final - averagelast):final, :, :, :], axis=0) print slice.shape outfile.write(var, slice) infile.close() outfile.close()