550 lines
15 KiB
Cython
550 lines
15 KiB
Cython
from libcpp cimport bool
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from libcpp cimport string as cppstring
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from libcpp.vector cimport vector as cppvector
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from cython.parallel cimport prange
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import numpy as np
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cimport numpy as np
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from cpython cimport PyObject, Py_INCREF
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cimport cython
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np.import_array()
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cdef extern from "loadSimu.hpp" namespace "CosmoTool":
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cdef cppclass SimuData:
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np.float_t BoxSize
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np.float_t time
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np.float_t Hubble
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np.float_t Omega_M
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np.float_t Omega_Lambda
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np.int64_t TotalNumPart
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np.int64_t NumPart
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np.int64_t *Id
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float *Pos[3]
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float *Vel[3]
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int *type
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float *Mass
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bool noAuto
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cdef const int NEED_GADGET_ID
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cdef const int NEED_POSITION
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cdef const int NEED_VELOCITY
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cdef const int NEED_TYPE
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cdef const int NEED_MASS
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cdef extern from "loadGadget.hpp" namespace "CosmoTool":
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SimuData *loadGadgetMulti(const char *fname, int id, int flags, int gformat) nogil except +
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void cxx_writeGadget "CosmoTool::writeGadget" (const char * s, SimuData *data) except +
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cdef extern from "safe_gadget.hpp":
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SimuData *loadGadgetMulti_safe(cppstring.string s, int flags, int gformat) nogil
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SimuData **alloc_simudata(int num) nogil
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void del_simudata(SimuData **d) nogil
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cdef extern from "cppHelper.hpp":
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int customCosmotoolHandler() nogil
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cdef extern from "loadRamses.hpp" namespace "CosmoTool":
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SimuData *loadRamsesSimu(const char *basename, int id, int cpuid, bool dp, int flags) except +customCosmotoolHandler
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class PySimulationBase(object):
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"""
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This is the base class to representation Simulation in CosmoTool/python.
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"""
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def getPositions(self):
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"""
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getPositions(self)
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Returns:
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A list of three arrays holding the positions of the particles.
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The i-th element is the i-th coordinate of each particle.
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It may be None if the positions were not requested.
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"""
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raise NotImplementedError("getPositions is not implemented")
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def getVelocities(self):
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"""
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getVelocities(self)
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Returns:
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A list of three arrays holding the velocities of the particles.
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The i-th element is the i-th coordinate of each particle.
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It may be None if the velocities were not requested.
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"""
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raise NotImplementedError("getVelocities is not implemented")
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def getIdentifiers(self):
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"""
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getIdentifiers(self)
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Returns:
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Returns an integer array that hold the unique identifiers of
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each particle.
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It may be None if the identifiers were not requested.
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"""
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raise NotImplementedError("getIdentifiers is not implemented")
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def getTypes(self):
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"""
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getTypes(self)
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Returns:
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Returns an integer array that hold the type of
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each particle.
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It may be None if the types were not requested.
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"""
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raise NotImplementedError("getTypes is not implemented")
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def getOmega_M(self):
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"""
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getOmega_M(self)
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Returns:
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the mean matter density in the simulation, with respect
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to the critical density.
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"""
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raise NotImplementedError("getOmega_M is not implemented")
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def getOmega_Lambda(self):
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"""
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getOmega_Lambda(self)
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Returns:
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the mean dark energy density in the simulation, with respect
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to the critical density.
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"""
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raise NotImplementedError("getOmega_Lambda is not implemented")
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def getTime(self):
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"""
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getTime(self)
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Returns:
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the time the snapshot was taken in the simulation. It can
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have various units depending on the file format.
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"""
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raise NotImplementedError("getTime is not implemented")
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def getHubble(self):
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"""
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getHubble(self)
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Returns:
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the hubble constant in unit of 100 km/s/Mpc
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"""
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raise NotImplementedError("getHubble is not implemented")
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def getBoxsize(self):
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"""
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getBoxsize(self)
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Returns:
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the size of the simulation box. The length unit is not fixed,
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though it is customary to have it in Mpc/h if the loader has
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access to the unit normalization.
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"""
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raise NotImplementedError("getBoxsize is not implemented")
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def getMasses(self):
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"""
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getMasses(self)
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Returns:
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an array with the masses of each particles, in unspecified unit that
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depend on the loader.
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"""
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raise NotImplementedError("getMasses is not implemented")
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cdef class Simulation:
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"""
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Simulation()
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Class that directly manages internal loaded data obtained from a loader
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"""
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cdef list positions
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cdef list velocities
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cdef object identifiers
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cdef object types
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cdef object masses
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cdef SimuData *data
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property BoxSize:
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def __get__(Simulation self):
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return self.data.BoxSize
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property time:
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def __get__(Simulation self):
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return self.data.time
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property Hubble:
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def __get__(Simulation self):
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return self.data.Hubble
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property Omega_M:
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def __get__(Simulation self):
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return self.data.Omega_M
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property Omega_Lambda:
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def __get__(Simulation self):
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return self.data.Omega_Lambda
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property positions:
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def __get__(Simulation self):
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return self.positions
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property velocities:
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def __get__(Simulation self):
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return self.velocities
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property identifiers:
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def __get__(Simulation self):
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return self.identifiers
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property types:
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def __get__(Simulation self):
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return self.types
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property masses:
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def __get__(Simulation self):
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return self.masses
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property numParticles:
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def __get__(Simulation self):
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return self.data.NumPart
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property totalNumParticles:
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def __get__(Simulation self):
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return self.data.TotalNumPart
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def __cinit__(Simulation self):
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self.data = <SimuData *>0
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def __dealloc__(Simulation self):
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if self.data != <SimuData *>0:
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del self.data
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class PySimulationAdaptor(PySimulationBase):
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"""
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PySimulationAdaptor(PySimulationBase_)
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This class is an adaptor for an internal type to the loader. It defines
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all the methods of PySimulationBase.
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Attributes:
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simu: a Simulation_ object
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"""
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def __init__(self,sim):
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self.simu = sim
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def getBoxsize(self):
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return self.simu.BoxSize
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def getPositions(self):
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return self.simu.positions
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def getTypes(self):
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return self.simu.types
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def getVelocities(self):
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return self.simu.velocities
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def getIdentifiers(self):
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return self.simu.identifiers
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def getTime(self):
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return self.simu.time
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def getHubble(self):
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return self.simu.Hubble
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def getOmega_M(self):
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return self.simu.Omega_M
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def getOmega_Lambda(self):
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return self.simu.Omega_Lambda
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def getMasses(self):
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return self.simu.masses
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cdef class ArrayWrapper:
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cdef void* data_ptr
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cdef np.uint64_t size
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cdef int type_array
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cdef set_data(self, np.uint64_t size, int type_array, void* data_ptr):
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""" Set the data of the array
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This cannot be done in the constructor as it must recieve C-level
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arguments.
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Args:
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size (int): Length of the array.
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data_ptr (void*): Pointer to the data
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"""
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self.data_ptr = data_ptr
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self.size = size
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self.type_array = type_array
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def __array__(self):
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""" Here we use the __array__ method, that is called when numpy
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tries to get an array from the object."""
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cdef np.npy_intp shape[1]
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shape[0] = <np.npy_intp> self.size
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# Create a 1D array, of length 'size'
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ndarray = np.PyArray_SimpleNewFromData(1, shape, self.type_array, self.data_ptr)
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return ndarray
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def __dealloc__(self):
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""" Frees the array. This is called by Python when all the
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references to the object are gone. """
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pass
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cdef object wrap_array(void *p, np.uint64_t s, int typ):
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cdef np.ndarray ndarray
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cdef ArrayWrapper wrapper
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wrapper = ArrayWrapper()
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wrapper.set_data(s, typ, p)
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ndarray = np.array(wrapper, copy=False)
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ndarray.base = <PyObject*> wrapper
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Py_INCREF(wrapper)
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return ndarray
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cdef object wrap_float_array(float *p, np.uint64_t s):
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return wrap_array(<void *>p, s, np.NPY_FLOAT32)
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cdef object wrap_int64_array(np.int64_t* p, np.uint64_t s):
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return wrap_array(<void *>p, s, np.NPY_INT64)
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cdef object wrap_int_array(int* p, np.uint64_t s):
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return wrap_array(<void *>p, s, np.NPY_INT)
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cdef object wrap_simudata(SimuData *data, int flags):
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cdef Simulation simu
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simu = Simulation()
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simu.data = data
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if flags & NEED_POSITION:
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simu.positions = [wrap_float_array(data.Pos[i], data.NumPart) for i in xrange(3)]
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else:
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simu.positions = None
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if flags & NEED_VELOCITY:
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simu.velocities = [wrap_float_array(data.Vel[i], data.NumPart) for i in xrange(3)]
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else:
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simu.velocities = None
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if flags & NEED_GADGET_ID:
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simu.identifiers = wrap_int64_array(data.Id, data.NumPart)
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else:
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simu.identifiers = None
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if flags & NEED_TYPE:
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simu.types = wrap_int_array(data.type, data.NumPart)
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else:
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simu.types = None
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if flags & NEED_MASS:
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simu.masses = wrap_float_array(data.Mass, data.NumPart)
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else:
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simu.masses = None
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return simu
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def loadGadget(str filename, int snapshot_id, int gadgetFormat = 1, bool loadPosition = True, bool loadVelocity = False, bool loadId = False, bool loadType = False, bool loadMass=False):
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"""loadGadget(filename, snapshot_id, gadgetFormat = 1, loadPosition=True, loadVelocity=False, loadId=False, loadType=False)
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This function loads Gadget-1 snapshot format.
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If snapshot_id is negative then the snapshot is considered not to be part of
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a set of snapshots written by different cpu. Otherwise the filename is modified
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to reflect the indicated snapshot_id.
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Arguments:
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filename (str): input filename
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snapshot_id (int): identifier of the gadget file if it is a multi-file snapshot
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Keyword arguments:
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loadPosition (bool): whether to load positions
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loadVelocity (bool): whether to load velocities
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loadId (bool): whether to load unique identifiers
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loadType (bool): whether to set types to particles
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loadMass (bool): whether to set the mass of particles
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Returns:
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an PySimulationAdaptor instance.
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"""
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cdef int flags
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cdef SimuData *data
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cdef Simulation simu
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flags = 0
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if loadPosition:
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flags |= NEED_POSITION
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if loadVelocity:
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flags |= NEED_VELOCITY
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if loadId:
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flags |= NEED_GADGET_ID
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if loadType:
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flags |= NEED_TYPE
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if loadMass:
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flags |= NEED_MASS
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data = loadGadgetMulti(filename, snapshot_id, flags, gadgetFormat)
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if data == <SimuData*>0:
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return None
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return PySimulationAdaptor(wrap_simudata(data, flags))
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def loadParallelGadget(object filename_list, int gadgetFormat = 1, bool loadPosition = True, bool loadVelocity = False, bool loadId = False, bool loadType = False, bool loadMass=False):
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"""loadParallelGadget(filename list, gadgetFormat=1, loadPosition=True, loadVelocity=False, loadId=False, loadType=False)
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Arguments:
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filename (list): a list or tuple of filenames to load in parallel
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Keyword arguments:
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loadPosition (bool): indicate to load positions
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loadVelocity (bool): indicate to load velocities
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loadId (bool): indicate to load id
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loadType (bool): indicate to load particle types
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Returns:
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It loads a gadget-1 snapshot and return a cosmotool.PySimulationBase_ object.
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"""
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cdef int flags, i, num_files
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cdef list out_arrays
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cdef SimuData ** data
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cdef SimuData * local_data
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cdef Simulation simu
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cdef cppvector[cppstring.string] filenames
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flags = 0
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if loadPosition:
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flags |= NEED_POSITION
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if loadVelocity:
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flags |= NEED_VELOCITY
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if loadId:
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flags |= NEED_GADGET_ID
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if loadType:
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flags |= NEED_TYPE
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if loadMass:
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flags |= NEED_MASS
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num_files = len(filename_list)
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filenames.resize(num_files)
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data = alloc_simudata(num_files)
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for i,l in enumerate(filename_list):
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filenames[i] = l
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with nogil:
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for i in prange(num_files):
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local_data = loadGadgetMulti_safe(filenames[i], flags, gadgetFormat)
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data[i] = local_data
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# data[i] = loadGadgetMulti(filenames[i].c_str(), -1, flags)
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out_arrays = []
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for i in xrange(num_files):
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if data[i] == <SimuData*>0:
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out_arrays.append(None)
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else:
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out_arrays.append(PySimulationAdaptor(wrap_simudata(data[i], flags)))
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del_simudata(data)
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return out_arrays
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def writeGadget(str filename, object simulation):
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"""writeGadget(filename, simulation)
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This function attempts to write the content of the simulation object into
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a file named `filename` using a Gadget-1 file format.
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Arguments:
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filename (str): output filename
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simulation (PySimulationBase): a simulation object
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"""
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cdef SimuData simdata
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cdef np.ndarray[np.float32_t, ndim=1] pos, vel
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cdef np.ndarray[np.int64_t, ndim=1] ids
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cdef np.int64_t NumPart
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cdef int j
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if not isinstance(simulation,PySimulationBase):
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raise TypeError("Second argument must be of type SimulationBase")
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NumPart = simulation.positions[0].size
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simdata.noAuto = True
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for j in xrange(3):
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pos = simulation.getPositions()[j]
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vel = simulation.getVelocities()[j]
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if pos.size != NumPart or vel.size != NumPart:
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raise ValueError("Invalid number of particles")
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simdata.Pos[j] = <float *>pos.data
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simdata.Vel[j] = <float *>vel.data
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ids = simulation.getIdentifiers()
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simdata.Id = <np.int64_t *>ids.data
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simdata.BoxSize = simulation.getBoxsize()
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simdata.time = simulation.getTime()
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simdata.Hubble = simulation.getHubble()
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simdata.Omega_M = simulation.getOmega_M()
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simdata.Omega_Lambda = simulation.getOmega_Lambda()
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simdata.TotalNumPart = NumPart
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simdata.NumPart = NumPart
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cxx_writeGadget(filename, &simdata)
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def loadRamses(str basepath, int snapshot_id, int cpu_id, bool doublePrecision = False, bool loadPosition = True, bool loadVelocity = False, bool loadId = False):
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""" loadRamses(basepath, snapshot_id, cpu_id, doublePrecision = False, loadPosition = True, loadVelocity = False)
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Loads the indicated snapshot based on the cpu id, snapshot id and basepath. It is important to specify the correct precision in doublePrecision otherwise the loading will fail. There is no way of auto-detecting properly the precision of the snapshot file.
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Args:
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basepath (str): the base directory of the snapshot
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snapshot_id (int): the snapshot id
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cpu_id (int): the cpu id of the file to load
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Keyword args:
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doublePrecision (bool): By default it is False, thus singlePrecision
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loadPosition (bool): Whether to load positions
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loadVelocity (bool): Whether to load velocities
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loadId (bol): Whether to load identifiers
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Returns:
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An object derived from PySimulationBase_.
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"""
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cdef int flags
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cdef SimuData *data
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cdef Simulation simu
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flags = 0
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if loadPosition:
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flags |= NEED_POSITION
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if loadVelocity:
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flags |= NEED_VELOCITY
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if loadId:
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flags |= NEED_GADGET_ID
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try:
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data = loadRamsesSimu(basepath, snapshot_id, cpu_id, doublePrecision, flags)
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if data == <SimuData*>0:
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return None
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except RuntimeError as e:
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raise RuntimeError(e.message + ' (check the float precision in snapshot)')
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return PySimulationAdaptor(wrap_simudata(data, flags))
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