Update to allow accumulators in CIC projection
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3 changed files with 167 additions and 148 deletions
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@ -31,7 +31,7 @@ cdef extern from "loadSimu.hpp" namespace "CosmoTool":
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bool noAuto
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cdef const int NEED_GADGET_ID
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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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@ -57,36 +57,36 @@ 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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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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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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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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@ -94,10 +94,10 @@ class PySimulationBase(object):
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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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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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@ -105,27 +105,27 @@ class PySimulationBase(object):
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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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"""
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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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"""
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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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@ -135,7 +135,7 @@ class PySimulationBase(object):
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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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@ -144,7 +144,7 @@ class PySimulationBase(object):
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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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@ -155,7 +155,7 @@ class PySimulationBase(object):
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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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@ -165,7 +165,7 @@ class PySimulationBase(object):
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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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@ -180,7 +180,7 @@ cdef class Simulation:
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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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@ -192,15 +192,15 @@ cdef class Simulation:
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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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@ -216,7 +216,7 @@ cdef class Simulation:
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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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@ -228,7 +228,7 @@ cdef class Simulation:
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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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@ -237,40 +237,43 @@ cdef class Simulation:
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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 getNumParticles(self):
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return self.simu.numParticles
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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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@ -281,7 +284,7 @@ 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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@ -294,22 +297,22 @@ cdef class ArrayWrapper:
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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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@ -319,7 +322,7 @@ cdef object wrap_array(void *p, np.uint64_t s, int typ):
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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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@ -368,7 +371,7 @@ def loadGadget(str filename, int snapshot_id, int gadgetFormat = 1, bool loadPos
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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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an PySimulationAdaptor instance.
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"""
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cdef int flags
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@ -419,13 +422,13 @@ def loadParallelGadget(object filename_list, int gadgetFormat = 1, bool loadPosi
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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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@ -453,16 +456,16 @@ def loadParallelGadget(object filename_list, int gadgetFormat = 1, bool loadPosi
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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.encode('utf-8')
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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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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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@ -473,10 +476,10 @@ def loadParallelGadget(object filename_list, int gadgetFormat = 1, bool loadPosi
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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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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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@ -486,23 +489,23 @@ def writeGadget(str filename, object simulation):
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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 = <int64_t *>ids.data
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simdata.BoxSize = simulation.getBoxsize()
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@ -519,21 +522,21 @@ def writeGadget(str filename, object simulation):
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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, bool loadMass = 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 (bool): Whether to load identifiers
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loadMass (bool): Whether to load mass value
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loadMass (bool): Whether to load mass value
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Returns:
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An object derived from PySimulationBase_.
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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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if loadMass:
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flags |= NEED_MASS
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encpath = basepath.encode('utf-8')
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encpath = basepath.encode('utf-8')
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try:
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data = loadRamsesSimu(encpath, snapshot_id, cpu_id, doublePrecision, flags)
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if data == <SimuData*>0:
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raise RuntimeError(str(e) + ' (check the float precision in snapshot)')
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return PySimulationAdaptor(wrap_simudata(data, flags))
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