Added paraview python toolkit
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106
python/cosmotool/ctpv.py
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106
python/cosmotool/ctpv.py
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import numpy as np
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from contextlib import contextmanager
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class ProgrammableDensityLoad(object):
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@staticmethod
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def main_script(source, density, extents=None, aname="default"):
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import vtk
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from vtk.util import numpy_support
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Nx, Ny, Nz = density.shape
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ido = source.GetOutput()
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ido.SetDimensions(Nx, Ny, Nz)
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if not extents is None:
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origin = extents[:6:2]
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spacing = (extents[1]-extents[0])/Nx, (extents[3]-extents[2])/Ny, (extents[5]-extents[4])/Nz
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else:
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origin = (-1, -1, -1)
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spacing = 2.0 / Nx, 2.0/Ny, 2.0/Nz
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ido.SetOrigin(*origin)
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ido.SetSpacing(*spacing)
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ido.SetExtent([0,Nx-1,0,Ny-1,0,Nz-1])
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arr = numpy_support.numpy_to_vtk(density.transpose().astype(np.float64).ravel(), deep=1)
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arr.SetName(aname)
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ido.GetPointData().AddArray(arr)
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@staticmethod
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def request_information(source, density=None, dims=None):
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import vtk
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Nx = Ny = Nz = None
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if not density is None:
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Nx, Ny, Nz = density.shape
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elif not dims is None:
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Nx, Ny, Nz = dims
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else:
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raise ValueError("Need at least a density or dims")
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source.GetExecutive().GetOutputInformation(0).Set(vtk.vtkStreamingDemandDrivenPipeline.WHOLE_EXTENT(), 0, Nx-1, 0, Ny-1, 0, Nz-1)
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@staticmethod
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def prepare_timesteps_info(algorithm, timesteps):
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def SetOutputTimesteps(algorithm, timesteps):
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executive = algorithm.GetExecutive()
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outInfo = executive.GetOutputInformation(0)
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outInfo.Remove(executive.TIME_STEPS())
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for timestep in timesteps:
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outInfo.Append(executive.TIME_STEPS(), timestep)
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outInfo.Remove(executive.TIME_RANGE())
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outInfo.Append(executive.TIME_RANGE(), timesteps[0])
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outInfo.Append(executive.TIME_RANGE(), timesteps[-1])
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SetOutputTimesteps(algorithm, timesteps)
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@staticmethod
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@contextmanager
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def get_timestep(algorithm):
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def GetUpdateTimestep(algorithm):
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"""Returns the requested time value, or None if not present"""
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executive = algorithm.GetExecutive()
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outInfo = executive.GetOutputInformation(0)
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if not outInfo.Has(executive.UPDATE_TIME_STEP()):
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return None
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return outInfo.Get(executive.UPDATE_TIME_STEP())
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# This is the requested time-step. This may not be exactly equal to the
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# timesteps published in RequestInformation(). Your code must handle that
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# correctly
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req_time = GetUpdateTimestep(algorithm)
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output = algorithm.GetOutput()
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yield req_time
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# Now mark the timestep produced.
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output.GetInformation().Set(output.DATA_TIME_STEP(), req_time)
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def load_borg(pdo, restart_name, mcmc_name, info=False, aname="BORG"):
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import h5py as h5
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with h5.File(restart_name) as f:
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N0 = f["/info/scalars/N0"][:]
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N1 = f["/info/scalars/N1"][:]
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N2 = f["/info/scalars/N2"][:]
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L0 = f["/info/scalars/L0"][:]
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L1 = f["/info/scalars/L1"][:]
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L2 = f["/info/scalars/L2"][:]
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c0 = f["/info/scalars/corner0"][:]
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c1 = f["/info/scalars/corner1"][:]
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c2 = f["/info/scalars/corner2"][:]
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if not info:
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with h5.File(mcmc_name) as f:
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d = f["/scalars/BORG_final_density"][:]+1
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ProgrammableDensityLoad.main_script(pdo, d, extents=[c0,c0+L0,c1,c1+L1,c2,c2+L2], aname=aname)
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else:
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ProgrammableDensityLoad.request_information(pdo, dims=[N0,N1,N2])
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@ -395,7 +395,7 @@ SimuData *CosmoTool::loadGadgetMulti(const char *fname, int id,
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} else {
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} else {
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for(int n = 0; n < h.npart[k]; n++)
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for(int n = 0; n < h.npart[k]; n++)
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{
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{
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if ((n%1000000)==0) cout << n << endl;
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// if ((n%1000000)==0) cout << n << endl;
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data->Mass[l++] = h.mass[k];
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data->Mass[l++] = h.mass[k];
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}
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}
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}
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}
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