# -*- coding: utf-8 -*-
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# Copyright (C) Laboratory of Imaging technologies,
# Faculty of Electrical Engineering,
# University of Ljubljana.
#
# This file is part of PyXOpto.
#
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from typing import Tuple
import numpy as np
from xopto.mccyl.mcdetector.base import Detector
from xopto.mccyl import cltypes, mctypes, mcobject
from xopto.mccyl.mcutil import axis
from xopto.mccyl.mcutil.lut import CollectionLut
[docs]class Total(Detector):
[docs] @staticmethod
def cl_type(mc: mcobject.McObject) -> cltypes.Structure:
T = mc.types
class ClTotal(cltypes.Structure):
'''
Structure that that represents a detector in the Monte Carlo
simulator core.
Fields
------
cos_min: mc_fp_t
Cosine of the maximum acceptance angle relative to the
sample surface normal.
offset: mc_int_t
The offset of the first accumulator in the Monte Carlo
detector buffer.
'''
_fields_ = [
('cos_min', T.mc_fp_t),
('offset', T.mc_size_t),
]
return ClTotal
[docs] def cl_declaration(self, mc: mcobject.McObject) -> str:
'''
Structure that defines the detector in the Monte Carlo simulator.
'''
loc = self.location
Loc = loc.capitalize()
return '\n'.join((
'struct MC_STRUCT_ATTRIBUTES Mc{}Detector{{'.format(Loc),
' mc_fp_t cos_min;',
' mc_size_t offset;',
'};'
))
[docs] def cl_implementation(self, mc: mcobject.McObject) -> str:
'''
Implementation of the detector accumulator in the Monte Carlo simulator.
'''
loc = self.location
Loc = loc.capitalize()
return '\n'.join((
'void dbg_print_{}_detector(__mc_detector_mem const Mc{}Detector *detector){{'.format(loc, Loc),
' dbg_print("Mc{}Detector - Total detector:");'.format(Loc),
' dbg_print_float(INDENT "cos_min:", detector->cos_min);',
' dbg_print_size_t(INDENT "offset:", detector->offset);',
'};',
'',
'inline void mcsim_{}_detector_deposit('.format(loc),
' McSim *mcsim, ',
' mc_point3f_t const *pos, mc_point3f_t const *dir, ',
' mc_fp_t weight){',
'',
' __global mc_accu_t *address;',
'',
' dbg_print_status(mcsim, "{} Total detector hit");'.format(Loc),
'',
' __mc_detector_mem const struct Mc{}Detector *detector = '.format(Loc),
' mcsim_{}_detector(mcsim);'.format(loc),
'',
' address = mcsim_accumulator_buffer_ex(mcsim, detector->offset);',
'',
' mc_fp_t r = mc_sqrt(pos->x*pos->x + pos->y*pos->y);',
' mc_fp_t k = (r > FP_0) ? mc_fdiv(FP_1, r) : FP_0;',
' mc_point3f_t normal = {pos->x*k, pos->y*k, FP_0};',
'',
' uint32_t ui32w = weight_to_int(weight)*',
' (detector->cos_min <= mc_fabs(mc_dot_point3f(dir, &normal)));',
'',
' if (ui32w > 0){',
' dbg_print_uint("{} Total detector depositing int:", ui32w);'.format(Loc),
' accumulator_deposit(address, ui32w);',
' };',
'};'
))
def __init__(self, cosmin: float = 0.0):
'''
Total reflectance-transmittance detector.
Parameters
----------
cosmin: float
Cosine of the maximum acceptance angle
(relative to the surface normal) of the detector.
'''
if isinstance(cosmin, Total):
total = cosmin
cosmin = total.cosmin
nphotons = total.nphotons
raw_data = np.copy(total.raw)
else:
raw_data = np.zeros((1,))
nphotons = 0
super().__init__(raw_data, nphotons)
self._cosmin = 0.0
self._set_cosmin(cosmin)
def _get_cosmin(self) -> Tuple[float, float]:
return self._cosmin
def _set_cosmin(self, value: float or Tuple[float, float]):
self._cosmin = min(max(float(value), 0.0), 1.0)
cosmin = property(_get_cosmin, _set_cosmin, None,
'Cosine of the maximum acceptance angle.')
def _get_normalized(self) -> np.ndarray:
return self.raw*(1.0/max(self.nphotons, 1.0))
normalized = property(_get_normalized, None, None, 'Normalized.')
reflectance = property(_get_normalized, None, None, 'Reflectance.')
transmittance = property(_get_normalized, None, None, 'Transmittance.')
[docs] def cl_pack(self, mc: mcobject.McObject, target: cltypes.Structure = None) \
-> cltypes.Structure:
'''
Fills the structure (target) with the data required by the
Monte Carlo simulator.
See the :py:meth:`Total.cl_type` method for a detailed list of fields.
Parameters
----------
mc: mcobject.McObject
Monte Carlo simulator instance.
target: cltypes.Structure
Ctypes structure that is filled with the source data.
Returns
-------
target: cltypes.Structure
Filled structure received as an input argument or a new
instance if the input argument target is None.
'''
if target is None:
target_type = self.cl_type(mc)
target = target_type()
allocation = mc.cl_allocate_rw_accumulator_buffer(self, self.shape)
target.offset = allocation.offset
target.cos_min = self._cosmin
return target
[docs] def todict(self) -> dict:
'''
Save the accumulator configuration without the accumulator data to
a dictionary. Use the :meth:`Total.fromdict` method to create a new
accumulator instance from the returned data.
Returns
-------
data: dict
Accumulator configuration as a dictionary.
'''
return {
'type':'Total',
'cosmin':self._cosmin,
}
[docs] @staticmethod
def fromdict(data: dict):
'''
Create an accumulator instance from a dictionary.
Parameters
----------
data: dict
Dictionary created by the :py:meth:`Total.todict` method.
'''
data_ = dict(data)
detector_type = data_.pop('type')
if detector_type != 'Total':
raise TypeError(
'Expected "Total" type bot got "{}"!'.format(detector_type))
return Total(**data_)
def __str__(self):
return 'Total(cosmin={})'.format(self._cosmin)
def __repr__(self):
return '{} #{}'.format(self.__str__(), id(self))
[docs]class TotalLut(Detector):
[docs] @staticmethod
def cl_type(mc: mcobject.McObject) -> cltypes.Structure:
T = mc.types
class ClTotal(cltypes.Structure):
'''
Structure that that represents a detector in the Monte Carlo
simulator core.
Fields
------
lut: mc_fp_lut_t
Detector angular sensitivity lookup table. The lookup table
is sampled with the absolute value of the incidence angle
cosine compute relative to the sample surface normal.
offset: mc_int_t
The offset of the first accumulator in the Monte Carlo
detector buffer.
'''
_fields_ = [
('lut', CollectionLut.cl_type(mc)),
('offset', T.mc_size_t),
]
return ClTotal
[docs] def cl_declaration(self, mc: mcobject.McObject) -> str:
'''
Structure that defines the detector in the Monte Carlo simulator.
'''
loc = self.location
Loc = loc.capitalize()
return '\n'.join((
'struct MC_STRUCT_ATTRIBUTES Mc{}Detector{{'.format(Loc),
' mc_fp_lut_t lut;',
' mc_size_t offset;',
'};'
))
[docs] def cl_implementation(self, mc: mcobject.McObject) -> str:
'''
Implementation of the detector accumulator in the Monte Carlo simulator.
'''
loc = self.location
Loc = loc.capitalize()
return '\n'.join((
'void dbg_print_{}_detector(__mc_detector_mem const Mc{}Detector *detector){{'.format(loc, Loc),
' dbg_print("Mc{}Detector - TotalLut detector:");'.format(Loc),
' dbg_print_fp_lut(INDENT "lut:", &detector->lut);',
' dbg_print_size_t(INDENT "offset:", detector->offset);',
'};',
'',
'inline void mcsim_{}_detector_deposit('.format(loc),
' McSim *mcsim, ',
' mc_point3f_t const *pos, mc_point3f_t const *dir, ',
' mc_fp_t weight){',
'',
' __global mc_accu_t *address;',
'',
' dbg_print_status(mcsim, "{} TotalLut detector hit");'.format(Loc),
'',
' __mc_detector_mem const struct Mc{}Detector *detector = '.format(Loc),
' mcsim_{}_detector(mcsim);'.format(loc),
'',
' address = mcsim_accumulator_buffer_ex(mcsim, detector->offset);',
'',
' mc_fp_t r = mc_sqrt(pos->x*pos->x + pos->y*pos->y);',
' mc_fp_t k = (r > FP_0) ? mc_fdiv(FP_1, r) : FP_0;',
' mc_point3f_t normal = {pos->x*k, pos->y*k, FP_0};',
'',
' mc_fp_t sensitivity = FP_0;',
' fp_linear_lut_sample(mcsim_fp_lut_array(mcsim),',
' &detector->lut, mc_fabs(mc_dot_point3f(dir, &normal)),',
' &sensitivity)',
' dbg_print_float("{} TotalLut sensitivity:", sensitivity);'.format(Loc),
'',
' uint32_t ui32w = weight_to_int(weight*sensitivity);'
'',
' if (ui32w > 0){',
' dbg_print_uint("{} TotalLut detector depositing int:", ui32w);'.format(Loc),
' accumulator_deposit(address, ui32w);',
' };',
'};'
))
def __init__(self, lut: CollectionLut):
'''
Total reflectance-transmittance detector.
Parameters
----------
lut: CollectionLut
Lookup table of the detector angular sensitivity. The lookup table
is sampled with the absolute value of the incidence angle
cosine compute relative to the sample surface normal.
Note
----
The detector sensitivity must be valid for packets inside the detector,
since the photon packets are handeled by the detector after entering
(refracting into) the detector itself.
'''
if isinstance(lut, TotalLut):
total = lut
lut = total.lut
nphotons = total.nphotons
raw_data = np.copy(total.raw)
else:
raw_data = np.zeros((1,))
nphotons = 0
super().__init__(raw_data, nphotons)
self._lut = None
self._set_lut(lut)
def _get_lut(self) -> CollectionLut:
return self._lut
def _set_lut(self, lut: CollectionLut):
if not isinstance(lut, CollectionLut):
raise TypeError(
'Expected a CollectionLut but got {}!'.format(type(lut)))
self._lut = lut
lut = property(_get_lut, _set_lut, None,
'Lookup table of the detector angular sensitivity.')
def _get_normalized(self) -> np.ndarray:
return self.raw*(1.0/max(self.nphotons, 1.0))
normalized = property(_get_normalized, None, None, 'Normalized.')
reflectance = property(_get_normalized, None, None, 'Reflectance.')
transmittance = property(_get_normalized, None, None, 'Transmittance.')
[docs] def cl_pack(self, mc: mcobject.McObject, target: cltypes.Structure = None) \
-> cltypes.Structure:
'''
Fills the structure (target) with the data required by the
Monte Carlo simulator.
See the :py:meth:`TotalLut.cl_type` method for a detailed list of fields.
Parameters
----------
mc: mcobject.McObject
Monte Carlo simulator instance.
target: cltypes.Structure
Ctypes structure that is filled with the source data.
Returns
-------
target: cltypes.Structure
Filled structure received as an input argument or a new
instance if the input argument target is None.
'''
if target is None:
target_type = self.cl_type(mc)
target = target_type()
allocation = mc.cl_allocate_rw_accumulator_buffer(self, self.shape)
target.offset = allocation.offset
target.lut = self._lut.cl_pack(mc, target.lut)
return target
[docs] def todict(self) -> dict:
'''
Save the accumulator configuration without the accumulator data to
a dictionary. Use the :meth:`Total.fromdict` method to create a new
accumulator instance from the returned data.
Returns
-------
data: dict
Accumulator configuration as a dictionary.
'''
return {
'type':'TotalLut',
'lut':self._lut.todict()
}
[docs] @staticmethod
def fromdict(data: dict):
'''
Create an accumulator instance from a dictionary.
Parameters
----------
data: dict
Dictionary created by the :py:meth:`Total.todict` method.
'''
data_ = dict(data)
detector_type = data_.pop('type')
if detector_type != 'TotalLut':
raise TypeError(
'Expected "TotalLut" type bot got "{}"!'.format(detector_type))
lut = CollectionLut(data_.pop('lut'))
return TotalLut(lut, **data_)
def __str__(self):
return 'TotalLut(lut={})'.format(self._lut)
def __repr__(self):
return '{} #{}'.format(self.__str__(), id(self))