feat: Finished Gaussian Pulse node.

Also fixed several bugs along the way.
Full speed aheaad on the sources!
main
Sofus Albert Høgsbro Rose 2024-05-02 20:59:30 +02:00
parent 14b98d219e
commit 9df0d20c68
Signed by: so-rose
GPG Key ID: AD901CB0F3701434
17 changed files with 507 additions and 266 deletions

18
TODO.md
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@ -57,6 +57,11 @@
# VALIDATE
- [ ] Does the imaginary part of a complex phasor scale with the real part? Ex. when doing `V/m -> V/um` conversion, does the phase also scale by 1 million?
# Nodes
## Analysis
@ -144,8 +149,8 @@
## Sources
- [x] Temporal Shapes / Gaussian Pulse Temporal Shape
- [x] Temporal Shapes / Continuous Wave Temporal Shape
- [ ] Temporal Shapes / Symbolic Temporal Shape
- [ ] Specify a Sympy function to generate appropriate array based on
- [ ] Temporal Shapes / Expr Temporal Shape
- [ ] Specify a Sympy function / data to generate appropriate array based on
- [ ] Temporal Shapes / Data Temporal Shape
- [x] Point Dipole Source
@ -585,4 +590,11 @@ Unreported:
- [ ] Shader visualizations approximated from medium `nk` into a shader node graph, aka. a generic BSDF.
- [ ] Web importer that gets material data from refractiveindex.info.
- [ ] Easy conversion of lazyarrayrange to mu/sigma frequency for easy computation of pulse fits from data.
- [ ] IDEA: Hand-craft a faster `spu.convert_to`. <https://github.com/sympy/sympy/blob/a44299273eeb4838beaee9af3b688f2f44d7702f/sympy/physics/units/util.py#L51-L129>
- [ ] We should probably communicate with the `sympy` upstream about our deep usage of unit systems. They might be interested in the various workarounds :)

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@ -485,13 +485,13 @@ class LazyArrayRangeFlow:
if isinstance(self.start, spux.SympyType):
start_mathtype = spux.MathType.from_expr(self.start)
else:
start_mathtype = spux.MathType.from_pytype(self.start)
start_mathtype = spux.MathType.from_pytype(type(self.start))
# Get Stop Mathtype
if isinstance(self.stop, spux.SympyType):
stop_mathtype = spux.MathType.from_expr(self.stop)
else:
stop_mathtype = spux.MathType.from_pytype(self.stop)
stop_mathtype = spux.MathType.from_pytype(type(self.stop))
# Check Equal
if start_mathtype != stop_mathtype:
@ -739,6 +739,10 @@ class LazyArrayRangeFlow:
msg = f'Invalid kind: {kind}'
raise TypeError(msg)
@functools.cached_property
def realize_array(self) -> ArrayFlow:
return self.realize()
####################
# - Params
@ -748,21 +752,52 @@ class ParamsFlow:
func_args: list[spux.SympyExpr] = dataclasses.field(default_factory=list)
func_kwargs: dict[str, spux.SympyExpr] = dataclasses.field(default_factory=dict)
symbols: frozenset[spux.Symbol] = frozenset()
@functools.cached_property
def sorted_symbols(self) -> list[sp.Symbol]:
"""Retrieves all symbols by concatenating int, real, and complex symbols, and sorting them by name.
Returns:
All symbols valid for use in the expression.
"""
return sorted(self.symbols, key=lambda sym: sym.name)
####################
# - Scaled Func Args
####################
def scaled_func_args(self, unit_system: spux.UnitSystem):
def scaled_func_args(
self,
unit_system: spux.UnitSystem,
symbol_values: dict[spux.Symbol, spux.SympyExpr] = MappingProxyType({}),
):
"""Return the function arguments, scaled to the unit system, stripped of units, and cast to jax-compatible arguments."""
if not all(sym in self.symbols for sym in symbol_values):
msg = f"Symbols in {symbol_values} don't perfectly match the ParamsFlow symbols {self.symbols}"
raise ValueError(msg)
return [
spux.convert_to_unit_system(func_arg, unit_system, use_jax_array=True)
for func_arg in self.func_args
spux.convert_to_unit_system(arg, unit_system, use_jax_array=True)
if arg not in symbol_values
else symbol_values[arg]
for arg in self.func_args
]
def scaled_func_kwargs(self, unit_system: spux.UnitSystem):
def scaled_func_kwargs(
self,
unit_system: spux.UnitSystem,
symbol_values: dict[spux.Symbol, spux.SympyExpr] = MappingProxyType({}),
):
"""Return the function arguments, scaled to the unit system, stripped of units, and cast to jax-compatible arguments."""
if not all(sym in self.symbols for sym in symbol_values):
msg = f"Symbols in {symbol_values} don't perfectly match the ParamsFlow symbols {self.symbols}"
raise ValueError(msg)
return {
arg_name: spux.convert_to_unit_system(arg, unit_system, use_jax_array=True)
for arg_name, arg in self.func_args
if arg not in symbol_values
else symbol_values[arg]
for arg_name, arg in self.func_kwargs.items()
}
####################
@ -780,16 +815,19 @@ class ParamsFlow:
return ParamsFlow(
func_args=self.func_args + other.func_args,
func_kwargs=self.func_kwargs | other.func_kwargs,
symbols=self.symbols | other.symbols,
)
def compose_within(
self,
enclosing_func_args: list[spux.SympyExpr] = (),
enclosing_func_kwargs: dict[str, spux.SympyExpr] = MappingProxyType({}),
enclosing_symbols: frozenset[spux.Symbol] = frozenset(),
) -> typ.Self:
return ParamsFlow(
func_args=self.func_args + list(enclosing_func_args),
func_kwargs=self.func_kwargs | dict(enclosing_func_kwargs),
symbols=self.symbols | enclosing_symbols,
)
@ -804,8 +842,6 @@ class InfoFlow:
default_factory=dict
) ## TODO: Rename to dim_idxs
## TODO: Add PhysicalType
@functools.cached_property
def dim_lens(self) -> dict[str, int]:
return {dim_name: len(dim_idx) for dim_name, dim_idx in self.dim_idx.items()}
@ -820,6 +856,13 @@ class InfoFlow:
def dim_units(self) -> dict[str, spux.Unit]:
return {dim_name: dim_idx.unit for dim_name, dim_idx in self.dim_idx.items()}
@functools.cached_property
def dim_physical_types(self) -> dict[str, spux.PhysicalType]:
return {
dim_name: spux.PhysicalType.from_unit(dim_idx.unit)
for dim_name, dim_idx in self.dim_idx.items()
}
@functools.cached_property
def dim_idx_arrays(self) -> list[jax.Array]:
return [
@ -850,6 +893,21 @@ class InfoFlow:
####################
# - Methods
####################
def rescale_dim_idxs(self, new_dim_idxs: dict[str, LazyArrayRangeFlow]) -> typ.Self:
return InfoFlow(
# Dimensions
dim_names=self.dim_names,
dim_idx={
_dim_name: new_dim_idxs.get(_dim_name, dim_idx)
for _dim_name, dim_idx in self.dim_idx.items()
},
# Outputs
output_name=self.output_name,
output_shape=self.output_shape,
output_mathtype=self.output_mathtype,
output_unit=self.output_unit,
)
def delete_dimension(self, dim_name: str) -> typ.Self:
"""Delete a dimension."""
return InfoFlow(

View File

@ -43,10 +43,9 @@ class NodeType(blender_type_enum.BlenderTypeEnum):
# Sources
## Sources / Temporal Shapes
GaussianPulseTemporalShape = enum.auto()
ContinuousWaveTemporalShape = enum.auto()
SymbolicTemporalShape = enum.auto()
DataTemporalShape = enum.auto()
PulseTemporalShape = enum.auto()
WaveTemporalShape = enum.auto()
ExprTemporalShape = enum.auto()
## Sources /
PointDipoleSource = enum.auto()
PlaneWaveSource = enum.auto()

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@ -6,7 +6,7 @@ from . import (
monitors,
outputs,
# simulations,
# sources,
sources,
# structures,
# utilities,
)
@ -15,7 +15,7 @@ BL_REGISTER = [
*analysis.BL_REGISTER,
*inputs.BL_REGISTER,
*outputs.BL_REGISTER,
# *sources.BL_REGISTER,
*sources.BL_REGISTER,
*mediums.BL_REGISTER,
# *structures.BL_REGISTER,
*bounds.BL_REGISTER,
@ -27,7 +27,7 @@ BL_NODES = {
**analysis.BL_NODES,
**inputs.BL_NODES,
**outputs.BL_NODES,
# **sources.BL_NODES,
**sources.BL_NODES,
**mediums.BL_NODES,
# **structures.BL_NODES,
**bounds.BL_NODES,

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@ -4,7 +4,6 @@ import enum
import typing as typ
import bpy
import jax
import jax.numpy as jnp
import sympy as sp
@ -138,6 +137,9 @@ class MapOperation(enum.StrEnum):
@staticmethod
def by_element_shape(shape: tuple[int, ...] | None) -> list[typ.Self]:
MO = MapOperation
if shape == 'noshape':
return []
# By Number
if shape is None:
return [
@ -259,7 +261,7 @@ class MapOperation(enum.StrEnum):
),
## TODO: Matrix -> Vec
## TODO: Matrix -> Matrices
}.get(self, info)
}.get(self, info)()
class MapMathNode(base.MaxwellSimNode):
@ -346,10 +348,10 @@ class MapMathNode(base.MaxwellSimNode):
bl_label = 'Map Math'
input_sockets: typ.ClassVar = {
'Expr': sockets.ExprSocketDef(),
'Expr': sockets.ExprSocketDef(active_kind=ct.FlowKind.Array),
}
output_sockets: typ.ClassVar = {
'Expr': sockets.ExprSocketDef(),
'Expr': sockets.ExprSocketDef(active_kind=ct.FlowKind.Array),
}
####################
@ -366,12 +368,12 @@ class MapMathNode(base.MaxwellSimNode):
if has_info:
return info.output_shape
return None
return 'noshape'
output_shape: tuple[int, ...] | None = bl_cache.BLField(None)
def search_operations(self) -> list[ct.BLEnumElement]:
if self.expr_output_shape is not None:
if self.expr_output_shape != 'noshape':
return [
operation.bl_enum_element(i)
for i, operation in enumerate(
@ -401,7 +403,7 @@ class MapMathNode(base.MaxwellSimNode):
run_on_init=True,
)
def on_input_changed(self):
# if self.operation not in MapOperation.by_element_shape(self.expr_output_shape):
if self.operation not in MapOperation.by_element_shape(self.expr_output_shape):
self.operation = bl_cache.Signal.ResetEnumItems
@events.on_value_changed(
@ -449,7 +451,7 @@ class MapMathNode(base.MaxwellSimNode):
mapper = input_sockets['Mapper']
has_expr = not ct.FlowSignal.check(expr)
has_mapper = not ct.FlowSignal.check(expr)
has_mapper = not ct.FlowSignal.check(mapper)
if has_expr and operation is not None:
if not has_mapper:
@ -494,11 +496,11 @@ class MapMathNode(base.MaxwellSimNode):
# - Compute Auxiliary: Info / Params
####################
@events.computes_output_socket(
'Data',
'Expr',
kind=ct.FlowKind.Info,
props={'active_socket_set', 'operation'},
input_sockets={'Data'},
input_socket_kinds={'Data': ct.FlowKind.Info},
input_sockets={'Expr'},
input_socket_kinds={'Expr': ct.FlowKind.Info},
)
def compute_data_info(self, props: dict, input_sockets: dict) -> ct.InfoFlow:
operation = props['operation']
@ -512,13 +514,13 @@ class MapMathNode(base.MaxwellSimNode):
return ct.FlowSignal.FlowPending
@events.computes_output_socket(
'Data',
'Expr',
kind=ct.FlowKind.Params,
input_sockets={'Data'},
input_socket_kinds={'Data': ct.FlowKind.Params},
input_sockets={'Expr'},
input_socket_kinds={'Expr': ct.FlowKind.Params},
)
def compute_data_params(self, input_sockets: dict) -> ct.ParamsFlow | ct.FlowSignal:
return input_sockets['Data']
return input_sockets['Expr']
####################

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@ -2,8 +2,6 @@ import enum
import typing as typ
import bpy
import jax
import jax.numpy as jnp
import jaxtyping as jtyp
import matplotlib.axis as mpl_ax
import sympy as sp
@ -196,6 +194,7 @@ class VizNode(base.MaxwellSimNode):
####################
input_sockets: typ.ClassVar = {
'Expr': sockets.ExprSocketDef(
active_kind=ct.FlowKind.Array,
symbols={_x := sp.Symbol('x', real=True)},
default_value=2 * _x,
),
@ -284,16 +283,57 @@ class VizNode(base.MaxwellSimNode):
socket_name='Expr',
input_sockets={'Expr'},
run_on_init=True,
input_socket_kinds={'Expr': ct.FlowKind.Info},
input_socket_kinds={'Expr': {ct.FlowKind.Info, ct.FlowKind.Params}},
input_sockets_optional={'Expr': True},
)
def on_any_changed(self, input_sockets: dict):
if not ct.FlowSignal.check_single(
input_sockets['Expr'], ct.FlowSignal.FlowPending
):
info = input_sockets['Expr'][ct.FlowKind.Info]
params = input_sockets['Expr'][ct.FlowKind.Params]
has_info = not ct.FlowSignal.check(info)
has_params = not ct.FlowSignal.check(params)
# Reset Viz Mode/Target
has_nonpending_info = not ct.FlowSignal.check_single(
info, ct.FlowSignal.FlowPending
)
if has_nonpending_info:
self.viz_mode = bl_cache.Signal.ResetEnumItems
self.viz_target = bl_cache.Signal.ResetEnumItems
# Provide Sockets for Symbol Realization
## -> This happens if Params contains not-yet-realized symbols.
if has_info and has_params and params.symbols:
if set(self.loose_input_sockets) != {
sym.name for sym in params.symbols if sym.name in info.dim_names
}:
self.loose_input_sockets = {
sym.name: sockets.ExprSocketDef(
active_kind=ct.FlowKind.LazyArrayRange,
shape=None,
mathtype=info.dim_mathtypes[sym.name],
physical_type=info.dim_physical_types[sym.name],
default_min=(
info.dim_idx[sym.name].start
if not sp.S(info.dim_idx[sym.name].start).is_infinite
else sp.S(0)
),
default_max=(
info.dim_idx[sym.name].start
if not sp.S(info.dim_idx[sym.name].stop).is_infinite
else sp.S(1)
),
default_steps=50,
)
for sym in sorted(
params.symbols, key=lambda el: info.dim_names.index(el.name)
)
if sym.name in info.dim_names
}
elif self.loose_input_sockets:
self.loose_input_sockets = {}
@events.on_value_changed(
prop_name='viz_mode',
run_on_init=True,
@ -309,39 +349,62 @@ class VizNode(base.MaxwellSimNode):
props={'viz_mode', 'viz_target', 'colormap'},
input_sockets={'Expr'},
input_socket_kinds={
'Expr': {ct.FlowKind.Array, ct.FlowKind.LazyValueFunc, ct.FlowKind.Info}
'Expr': {ct.FlowKind.LazyValueFunc, ct.FlowKind.Info, ct.FlowKind.Params}
},
unit_systems={'BlenderUnits': ct.UNITS_BLENDER},
all_loose_input_sockets=True,
stop_propagation=True,
)
def on_show_plot(
self,
managed_objs: dict,
input_sockets: dict,
props: dict,
self, managed_objs, props, input_sockets, loose_input_sockets, unit_systems
):
# Retrieve Inputs
array_flow = input_sockets['Expr'][ct.FlowKind.Array]
info = input_sockets['Expr'][ct.FlowKind.Info]
params = input_sockets['Expr'][ct.FlowKind.Params]
has_info = not ct.FlowSignal.check(info)
has_params = not ct.FlowSignal.check(params)
# Check Flow
if (
any(ct.FlowSignal.check(inp) for inp in [array_flow, info])
not has_info
or not has_params
or props['viz_mode'] is None
or props['viz_target'] is None
):
return
# Viz Target
# Compute Data
lazy_value_func = input_sockets['Expr'][ct.FlowKind.LazyValueFunc]
symbol_values = (
loose_input_sockets
if not params.symbols
else {
sym: loose_input_sockets[sym.name]
.realize_array.rescale_to_unit(info.dim_units[sym.name])
.values
for sym in params.sorted_symbols
}
)
data = lazy_value_func.func_jax(
*params.scaled_func_args(
unit_systems['BlenderUnits'], symbol_values=symbol_values
),
**params.scaled_func_kwargs(
unit_systems['BlenderUnits'], symbol_values=symbol_values
),
)
if params.symbols:
info = info.rescale_dim_idxs(loose_input_sockets)
# Visualize by-Target
if props['viz_target'] == VizTarget.Plot2D:
managed_objs['plot'].mpl_plot_to_image(
lambda ax: VizMode.to_plotter(props['viz_mode'])(
array_flow.values, info, ax
),
lambda ax: VizMode.to_plotter(props['viz_mode'])(data, info, ax),
bl_select=True,
)
if props['viz_target'] == VizTarget.Pixels:
managed_objs['plot'].map_2d_to_image(
array_flow.values,
data,
colormap=props['colormap'],
bl_select=True,
)

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@ -66,6 +66,8 @@ class PhysicalConstantNode(base.MaxwellSimNode):
# - UI
####################
def draw_props(self, _, col: bpy.types.UILayout) -> None:
col.prop(self, self.blfields['physical_type'], text='')
row = col.row(align=True)
row.prop(self, self.blfields['mathtype'], text='')
row.prop(self, self.blfields['size'], text='')
@ -74,25 +76,34 @@ class PhysicalConstantNode(base.MaxwellSimNode):
# - Events
####################
@events.on_value_changed(
prop_name={'physical_type', 'mathtype', 'size'},
# Trigger
prop_name={'physical_type'},
run_on_init=True,
props={'physical_type', 'mathtype', 'size'},
# Loaded
props={'physical_type'},
)
def on_mathtype_or_size_changed(self, props) -> None:
def on_physical_type_changed(self, props) -> None:
"""Change the input/output expression sockets to match the mathtype and size declared in the node."""
shape = props['size'].shape
# Set Input Socket Physical Type
if self.inputs['Value'].physical_type != props['physical_type']:
self.inputs['Value'].physical_type = props['physical_type']
self.search_mathtypes = bl_cache.Signal.ResetEnumItems
self.search_sizes = bl_cache.Signal.ResetEnumItems
self.mathtype = bl_cache.Signal.ResetEnumItems
self.size = bl_cache.Signal.ResetEnumItems
@events.on_value_changed(
# Trigger
prop_name={'mathtype', 'size'},
run_on_init=True,
# Loaded
props={'physical_type', 'mathtype', 'size'},
)
def on_mathtype_or_size_changed(self, props) -> None:
# Set Input Socket Math Type
if self.inputs['Value'].mathtype != props['mathtype']:
self.inputs['Value'].mathtype = props['mathtype']
# Set Input Socket Shape
shape = props['size'].shape
if self.inputs['Value'].shape != shape:
self.inputs['Value'].shape = shape

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@ -147,7 +147,9 @@ class WaveConstantNode(base.MaxwellSimNode):
if has_freq:
return input_sockets['Freq']
return sci_constants.vac_speed_of_light / input_sockets['WL']
return spu.convert_to(
sci_constants.vac_speed_of_light / input_sockets['WL'], spux.THz
)
@events.computes_output_socket(
'WL',

View File

@ -1,24 +1,27 @@
# from . import uniform_current_source
from . import plane_wave_source, point_dipole_source, temporal_shapes
# from . import gaussian_beam_source
# from . import astigmatic_gaussian_beam_source
# from . import tfsf_source
from . import (
# astigmatic_gaussian_beam_source,
# gaussian_beam_source,
# plane_wave_source,
# point_dipole_source,
temporal_shapes,
# tfsf_source,
# uniform_current_source,
)
BL_REGISTER = [
*temporal_shapes.BL_REGISTER,
*point_dipole_source.BL_REGISTER,
#*point_dipole_source.BL_REGISTER,
# *uniform_current_source.BL_REGISTER,
*plane_wave_source.BL_REGISTER,
#*plane_wave_source.BL_REGISTER,
# *gaussian_beam_source.BL_REGISTER,
# *astigmatic_gaussian_beam_source.BL_REGISTER,
# *tfsf_source.BL_REGISTER,
]
BL_NODES = {
**temporal_shapes.BL_NODES,
**point_dipole_source.BL_NODES,
#**point_dipole_source.BL_NODES,
# **uniform_current_source.BL_NODES,
**plane_wave_source.BL_NODES,
#**plane_wave_source.BL_NODES,
# **gaussian_beam_source.BL_NODES,
# **astigmatic_gaussian_beam_source.BL_NODES,
# **tfsf_source.BL_NODES,

View File

@ -1,15 +1,13 @@
from . import gaussian_pulse_temporal_shape
# from . import continuous_wave_temporal_shape
# from . import array_temporal_shape
# from . import expr_temporal_shape, pulse_temporal_shape, wave_temporal_shape
from . import pulse_temporal_shape
BL_REGISTER = [
*gaussian_pulse_temporal_shape.BL_REGISTER,
# *continuous_wave_temporal_shape.BL_REGISTER,
# *array_temporal_shape.BL_REGISTER,
*pulse_temporal_shape.BL_REGISTER,
# *wave_temporal_shape.BL_REGISTER,
# *expr_temporal_shape.BL_REGISTER,
]
BL_NODES = {
**gaussian_pulse_temporal_shape.BL_NODES,
# **continuous_wave_temporal_shape.BL_NODES,
# **array_temporal_shape.BL_NODES,
**pulse_temporal_shape.BL_NODES,
# **wave_temporal_shape.BL_NODES,
# **expr_temporal_shape.BL_NODES,
}

View File

@ -1,149 +0,0 @@
import bpy
import numpy as np
import sympy.physics.units as spu
import tidy3d as td
from blender_maxwell.utils import extra_sympy_units as spuex
from .... import contracts as ct
from .... import managed_objs, sockets
from ... import base, events
class GaussianPulseTemporalShapeNode(base.MaxwellSimNode):
node_type = ct.NodeType.GaussianPulseTemporalShape
bl_label = 'Gaussian Pulse Temporal Shape'
# bl_icon = ...
####################
# - Sockets
####################
input_sockets = {
# "amplitude": sockets.RealNumberSocketDef(
# label="Temporal Shape",
# ), ## Should have a unit of some kind...
'Freq Center': sockets.PhysicalFreqSocketDef(
default_value=500 * spuex.terahertz,
),
'Freq Std.': sockets.PhysicalFreqSocketDef(
default_value=200 * spuex.terahertz,
),
'Phase': sockets.PhysicalAngleSocketDef(),
'Delay rel. AngFreq': sockets.RealNumberSocketDef(
default_value=5.0,
),
'Remove DC': sockets.BoolSocketDef(
default_value=True,
),
}
output_sockets = {
'Temporal Shape': sockets.MaxwellTemporalShapeSocketDef(),
}
managed_obj_types = {
'amp_time': managed_objs.ManagedBLImage,
}
####################
# - Properties
####################
plot_time_start: bpy.props.FloatProperty(
name='Plot Time Start (ps)',
description='The instance ID of a particular MaxwellSimNode instance, used to index caches',
default=0.0,
update=(lambda self, context: self.on_prop_changed('plot_time_start', context)),
)
plot_time_end: bpy.props.FloatProperty(
name='Plot Time End (ps)',
description='The instance ID of a particular MaxwellSimNode instance, used to index caches',
default=5,
update=(lambda self, context: self.on_prop_changed('plot_time_start', context)),
)
####################
# - UI
####################
def draw_props(self, _, layout):
layout.label(text='Plot Settings')
split = layout.split(factor=0.6)
col = split.column()
col.label(text='t-Range (ps)')
col = split.column()
col.prop(self, 'plot_time_start', text='')
col.prop(self, 'plot_time_end', text='')
####################
# - Output Socket Computation
####################
@events.computes_output_socket(
'Temporal Shape',
input_sockets={
'Freq Center',
'Freq Std.',
'Phase',
'Delay rel. AngFreq',
'Remove DC',
},
)
def compute_source(self, input_sockets: dict) -> td.GaussianPulse:
if (
(_freq_center := input_sockets['Freq Center']) is None
or (_freq_std := input_sockets['Freq Std.']) is None
or (_phase := input_sockets['Phase']) is None
or (time_delay_rel_ang_freq := input_sockets['Delay rel. AngFreq']) is None
or (remove_dc_component := input_sockets['Remove DC']) is None
):
raise ValueError('Inputs not defined')
cheating_amplitude = 1.0
freq_center = spu.convert_to(_freq_center, spu.hertz) / spu.hertz
freq_std = spu.convert_to(_freq_std, spu.hertz) / spu.hertz
phase = spu.convert_to(_phase, spu.radian) / spu.radian
return td.GaussianPulse(
amplitude=cheating_amplitude,
phase=phase,
freq0=freq_center,
fwidth=freq_std,
offset=time_delay_rel_ang_freq,
remove_dc_component=remove_dc_component,
)
@events.on_show_plot(
managed_objs={'amp_time'},
props={'plot_time_start', 'plot_time_end'},
output_sockets={'Temporal Shape'},
stop_propagation=True,
)
def on_show_plot(
self,
managed_objs: dict,
output_sockets: dict,
props: dict,
):
temporal_shape = output_sockets['Temporal Shape']
plot_time_start = props['plot_time_start'] * 1e-15
plot_time_end = props['plot_time_end'] * 1e-15
times = np.linspace(plot_time_start, plot_time_end)
managed_objs['amp_time'].mpl_plot_to_image(
lambda ax: temporal_shape.plot_spectrum(times, ax=ax),
bl_select=True,
)
####################
# - Blender Registration
####################
BL_REGISTER = [
GaussianPulseTemporalShapeNode,
]
BL_NODES = {
ct.NodeType.GaussianPulseTemporalShape: (
ct.NodeCategory.MAXWELLSIM_SOURCES_TEMPORALSHAPES
)
}

View File

@ -0,0 +1,194 @@
"""Implements the `PulseTemporalShapeNode`."""
import functools
import typing as typ
import bpy
import jax.numpy as jnp
import sympy as sp
import sympy.physics.units as spu
import tidy3d as td
from blender_maxwell.utils import extra_sympy_units as spux
from .... import contracts as ct
from .... import managed_objs, sockets
from ... import base, events
def _manual_amp_time(self, time: float) -> complex:
"""Copied implementation of `pulse.amp_time` for `tidy3d` temporal shapes, which replaces use of `numpy` with `jax.numpy` for `jit`-ability.
Since the function is detached from the method, `self` is not implicitly available. It should be pre-defined from a real source time object using `functools.partial`, before `jax.jit`ing.
## License
**This function is directly copied from `tidy3d`**.
As such, it should be considered available under the `tidy3d` license (as of writing, LGPL 2.1): <https://github.com/flexcompute/tidy3d/blob/develop/LICENSE>
## Reference
Permalink to GitHub source code: <https://github.com/flexcompute/tidy3d/blob/3ee34904eb6687a86a5fb3f4ed6d3295c228cd83/tidy3d/components/source.py#L143C1-L163C25>
"""
twidth = 1.0 / (2 * jnp.pi * self.fwidth)
omega0 = 2 * jnp.pi * self.freq0
time_shifted = time - self.offset * twidth
offset = jnp.exp(1j * self.phase)
oscillation = jnp.exp(-1j * omega0 * time)
amp = jnp.exp(-(time_shifted**2) / 2 / twidth**2) * self.amplitude
pulse_amp = offset * oscillation * amp
# subtract out DC component
if self.remove_dc_component:
pulse_amp = pulse_amp * (1j + time_shifted / twidth**2 / omega0)
else:
# 1j to make it agree in large omega0 limit
pulse_amp = pulse_amp * 1j
return pulse_amp
class PulseTemporalShapeNode(base.MaxwellSimNode):
node_type = ct.NodeType.PulseTemporalShape
bl_label = 'Gaussian Pulse Temporal Shape'
####################
# - Sockets
####################
input_sockets: typ.ClassVar = {
'max E': sockets.ExprSocketDef(
mathtype=spux.MathType.Complex,
physical_type=spux.PhysicalType.EField,
default_value=1 + 0j,
),
'μ Freq': sockets.ExprSocketDef(
physical_type=spux.PhysicalType.Freq,
default_unit=spux.THz,
default_value=500,
),
'σ Freq': sockets.ExprSocketDef(
physical_type=spux.PhysicalType.Freq,
default_unit=spux.THz,
default_value=200,
),
'Offset Time': sockets.ExprSocketDef(default_value=5, abs_min=2.5),
'Remove DC': sockets.BoolSocketDef(
default_value=True,
),
}
output_sockets: typ.ClassVar = {
'Temporal Shape': sockets.MaxwellTemporalShapeSocketDef(),
'E(t)': sockets.ExprSocketDef(active_kind=ct.FlowKind.Array),
}
managed_obj_types: typ.ClassVar = {
'plot': managed_objs.ManagedBLImage,
}
####################
# - UI
####################
def draw_info(self, _: bpy.types.Context, layout: bpy.types.UILayout) -> None:
box = layout.box()
row = box.row()
row.alignment = 'CENTER'
row.label(text='Parameter Scale')
# Split
split = box.split(factor=0.3, align=False)
## LHS: Parameter Names
col = split.column()
col.alignment = 'RIGHT'
col.label(text='Off t:')
## RHS: Parameter Units
col = split.column()
col.label(text='1 / 2π·σ(𝑓)')
####################
# - FlowKind: Value
####################
@events.computes_output_socket(
'Temporal Shape',
input_sockets={
'max E',
'μ Freq',
'σ Freq',
'Offset Time',
'Remove DC',
},
unit_systems={'Tidy3DUnits': ct.UNITS_TIDY3D},
scale_input_sockets={
'max E': 'Tidy3DUnits',
'μ Freq': 'Tidy3DUnits',
'σ Freq': 'Tidy3DUnits',
},
)
def compute_temporal_shape(self, input_sockets, unit_systems) -> td.GaussianPulse:
return td.GaussianPulse(
amplitude=sp.re(input_sockets['max E']),
phase=sp.im(input_sockets['max E']),
freq0=input_sockets['μ Freq'],
fwidth=input_sockets['σ Freq'],
offset=input_sockets['Offset Time'],
remove_dc_component=input_sockets['Remove DC'],
)
####################
# - FlowKind: LazyValueFunc / Info / Params
####################
@events.computes_output_socket(
'E(t)',
kind=ct.FlowKind.LazyValueFunc,
output_sockets={'Temporal Shape'},
)
def compute_time_to_efield_lazy(self, output_sockets) -> td.GaussianPulse:
temporal_shape = output_sockets['Temporal Shape']
jax_amp_time = functools.partial(_manual_amp_time, temporal_shape)
## TODO: Don't just partial() it up, do it property in the ParamsFlow!
## -> Right now it's recompiled every time.
return ct.LazyValueFuncFlow(
func=jax_amp_time,
func_args=[spux.PhysicalType.Time],
supports_jax=True,
)
@events.computes_output_socket(
'E(t)',
kind=ct.FlowKind.Info,
)
def compute_time_to_efield_info(self) -> td.GaussianPulse:
return ct.InfoFlow(
dim_names=['t'],
dim_idx={
't': ct.LazyArrayRangeFlow(
start=sp.S(0), stop=sp.oo, steps=0, unit=spu.second
)
},
output_name='E',
output_shape=None,
output_mathtype=spux.MathType.Complex,
output_unit=spu.volt / spu.um,
)
@events.computes_output_socket(
'E(t)',
kind=ct.FlowKind.Params,
)
def compute_time_to_efield_params(self) -> td.GaussianPulse:
sym_time = sp.Symbol('t', real=True, nonnegative=True)
return ct.ParamsFlow(func_args=[sym_time], symbols={sym_time})
####################
# - Blender Registration
####################
BL_REGISTER = [
PulseTemporalShapeNode,
]
BL_NODES = {
ct.NodeType.PulseTemporalShape: (ct.NodeCategory.MAXWELLSIM_SOURCES_TEMPORALSHAPES)
}

View File

@ -217,9 +217,14 @@ class MaxwellSimSocket(bpy.types.NodeSocket):
Called by `self.on_prop_changed()` when `self.active_kind` was changed.
"""
self.display_shape = (
'SQUARE' if self.active_kind == ct.FlowKind.LazyArrayRange else 'CIRCLE'
) # + ('_DOT' if self.use_units else '')
## TODO: Valid Active Kinds should be a subset/subenum(?) of FlowKind
'SQUARE'
if self.active_kind == ct.FlowKind.LazyArrayRange
else ('DIAMOND' if self.active_kind == ct.FlowKind.Array else 'CIRCLE')
) + (
'_DOT'
if hasattr(self, 'physical_type') and self.physical_type is not None
else ''
)
def on_socket_prop_changed(self, prop_name: str) -> None:
"""Called when a property has been updated.
@ -811,6 +816,7 @@ class MaxwellSimSocket(bpy.types.NodeSocket):
{
ct.FlowKind.Value: self.draw_value,
ct.FlowKind.LazyArrayRange: self.draw_lazy_array_range,
ct.FlowKind.Array: self.draw_array,
}[self.active_kind](col)
# Info Drawing
@ -930,6 +936,16 @@ class MaxwellSimSocket(bpy.types.NodeSocket):
col: Target for defining UI elements.
"""
def draw_array(self, col: bpy.types.UILayout) -> None:
"""Draws the socket array UI on its own line.
Notes:
Should be overriden by individual socket classes, if they have an editable `FlowKind.Array`.
Parameters:
col: Target for defining UI elements.
"""
####################
# - UI Methods: Auxilliary
####################

View File

@ -194,10 +194,19 @@ class ExprBLSocket(base.MaxwellSimSocket):
current_value = self.value
current_lazy_array_range = self.lazy_array_range
# Old Unit Not in Physical Type
## -> This happens when dynamically altering self.physical_type
if self.unit in self.physical_type.valid_units:
self.unit = bl_cache.Signal.InvalidateCache
self.value = current_value
self.lazy_array_range = current_lazy_array_range
else:
self.unit = bl_cache.Signal.InvalidateCache
# Workaround: Manually Jiggle FlowKind Invalidation
self.value = self.value
self.lazy_value_range = self.lazy_value_range
####################
# - Property Callback
@ -238,10 +247,25 @@ class ExprBLSocket(base.MaxwellSimSocket):
return mathtype, shape
def _to_raw_value(self, expr: spux.SympyExpr):
def _to_raw_value(self, expr: spux.SympyExpr, force_complex: bool = False):
if self.unit is not None:
return spux.sympy_to_python(spux.scale_to_unit(expr, self.unit))
return spux.sympy_to_python(expr)
pyvalue = spux.sympy_to_python(spux.scale_to_unit(expr, self.unit))
else:
pyvalue = spux.sympy_to_python(expr)
# Cast complex -> tuple[float, float]
if isinstance(pyvalue, complex) or (
isinstance(pyvalue, int | float) and force_complex
):
return (pyvalue.real, pyvalue.imag)
if isinstance(pyvalue, tuple) and all(
isinstance(v, complex)
or (isinstance(pyvalue, int | float) and force_complex)
for v in pyvalue
):
return tuple([(v.real, v.imag) for v in pyvalue])
return pyvalue
def _parse_expr_str(self, expr_spstr: str) -> None:
expr = sp.sympify(
@ -346,7 +370,9 @@ class ExprBLSocket(base.MaxwellSimSocket):
elif self.mathtype == MT_R:
self.raw_value_float = self._to_raw_value(expr)
elif self.mathtype == MT_C:
self.raw_value_complex = self._to_raw_value(expr)
self.raw_value_complex = self._to_raw_value(
expr, force_complex=True
)
elif self.shape == (2,):
if self.mathtype == MT_Z:
self.raw_value_int2 = self._to_raw_value(expr)
@ -355,9 +381,10 @@ class ExprBLSocket(base.MaxwellSimSocket):
elif self.mathtype == MT_R:
self.raw_value_float2 = self._to_raw_value(expr)
elif self.mathtype == MT_C:
self.raw_value_complex2 = self._to_raw_value(expr)
self.raw_value_complex2 = self._to_raw_value(
expr, force_complex=True
)
elif self.shape == (3,):
log.critical(expr)
if self.mathtype == MT_Z:
self.raw_value_int3 = self._to_raw_value(expr)
elif self.mathtype == MT_Q:
@ -365,7 +392,9 @@ class ExprBLSocket(base.MaxwellSimSocket):
elif self.mathtype == MT_R:
self.raw_value_float3 = self._to_raw_value(expr)
elif self.mathtype == MT_C:
self.raw_value_complex3 = self._to_raw_value(expr)
self.raw_value_complex3 = self._to_raw_value(
expr, force_complex=True
)
####################
# - FlowKind: LazyArrayRange
@ -451,7 +480,7 @@ class ExprBLSocket(base.MaxwellSimSocket):
]
elif value.mathtype == MT_C:
self.raw_range_complex = [
self._to_raw_value(bound * unit)
self._to_raw_value(bound * unit, force_complex=True)
for bound in [value.start, value.stop]
]
@ -674,7 +703,7 @@ class ExprBLSocket(base.MaxwellSimSocket):
_row.label(text=text)
def draw_info(self, info: ct.InfoFlow, col: bpy.types.UILayout) -> None:
if self.show_info_columns:
if self.active_kind == ct.FlowKind.Array and self.show_info_columns:
row = col.row()
box = row.box()
grid = box.grid_flow(
@ -725,9 +754,9 @@ class ExprBLSocket(base.MaxwellSimSocket):
####################
class ExprSocketDef(base.SocketDef):
socket_type: ct.SocketType = ct.SocketType.Expr
active_kind: typ.Literal[ct.FlowKind.Value, ct.FlowKind.LazyArrayRange] = (
ct.FlowKind.Value
)
active_kind: typ.Literal[
ct.FlowKind.Value, ct.FlowKind.LazyArrayRange, ct.FlowKind.Array
] = ct.FlowKind.Value
# Socket Interface
## TODO: __hash__ like socket method based on these?
@ -740,15 +769,15 @@ class ExprSocketDef(base.SocketDef):
default_unit: spux.Unit | None = None
# FlowKind: Value
default_value: spux.SympyExpr = sp.RealNumber(0)
default_value: spux.SympyExpr = sp.S(0)
abs_min: spux.SympyExpr | None = None ## TODO: Not used (yet)
abs_max: spux.SympyExpr | None = None ## TODO: Not used (yet)
## TODO: Idea is to use this scalar uniformly for all shape elements
## TODO: -> But we may want to **allow** using same-shape for diff. bounds.
# FlowKind: LazyArrayRange
default_min: spux.SympyExpr = sp.RealNumber(0)
default_max: spux.SympyExpr = sp.RealNumber(1)
default_min: spux.SympyExpr = sp.S(0)
default_max: spux.SympyExpr = sp.S(1)
default_steps: int = 2
## TODO: Configure lin/log/... scaling (w/enumprop in UI)

View File

@ -98,6 +98,12 @@ class MathType(enum.StrEnum):
if sp_obj.is_complex:
return MathType.Complex
# Infinities
if sp_obj in [sp.oo, -sp.oo]:
return MathType.Real ## TODO: Strictly, could be ex. integer...
if sp_obj in [sp.zoo, -sp.zoo]:
return MathType.Complex
msg = f"Can't determine MathType from sympy object: {sp_obj}"
raise ValueError(msg)
@ -755,13 +761,11 @@ def scaling_factor(unit_from: spu.Quantity, unit_to: spu.Quantity) -> Number:
raise ValueError(msg)
_UNIT_STR_MAP = {sym.name: unit for sym, unit in UNIT_BY_SYMBOL.items()}
@functools.cache
def unit_str_to_unit(unit_str: str) -> Unit | None:
if unit_str in _UNIT_STR_MAP:
return _UNIT_STR_MAP[unit_str]
expr = sp.sympify(unit_str).subs(UNIT_BY_SYMBOL)
if expr.has(spu.Quantity):
return expr
msg = f'No valid unit for unit string {unit_str}'
raise ValueError(msg)
@ -812,7 +816,6 @@ class PhysicalType(enum.StrEnum):
# Luminal
LumIntensity = enum.auto()
LumFlux = enum.auto()
Luminance = enum.auto()
Illuminance = enum.auto()
# Optics
OrdinaryWaveVector = enum.auto()
@ -866,7 +869,7 @@ class PhysicalType(enum.StrEnum):
PT.OrdinaryWaveVector: Dims.frequency,
PT.AngularWaveVector: Dims.angle * Dims.frequency,
PT.PoyntingVector: Dims.power / Dims.length**2,
}
}[self]
@property
def default_unit(self) -> list[Unit]:
@ -1072,7 +1075,7 @@ class PhysicalType(enum.StrEnum):
@staticmethod
def from_unit(unit: Unit) -> list[Unit]:
for physical_type in list[PhysicalType]:
for physical_type in list(PhysicalType):
if unit in physical_type.valid_units:
return physical_type
@ -1161,7 +1164,7 @@ class PhysicalType(enum.StrEnum):
@staticmethod
def to_name(value: typ.Self) -> str:
return sp_to_str(value.unit_dim)
return PhysicalType(value).name
@staticmethod
def to_icon(value: typ.Self) -> str:
@ -1208,6 +1211,7 @@ UNITS_SI: UnitSystem = {
# Electrodynamics
_PT.Current: spu.ampere,
_PT.CurrentDensity: spu.ampere / spu.meter**2,
_PT.Voltage: spu.volt,
_PT.Capacitance: spu.farad,
_PT.Impedance: spu.ohm,
_PT.Conductance: spu.siemens,
@ -1278,13 +1282,12 @@ def sympy_to_python(
####################
# - Convert to Unit System
####################
def _flat_unit_system_units(unit_system: UnitSystem) -> SympyExpr:
return list(unit_system.values())
def convert_to_unit_system(sp_obj: SympyExpr, unit_system: UnitSystem) -> SympyExpr:
"""Convert an expression to the units of a given unit system, with appropriate scaling."""
return spu.convert_to(sp_obj, _flat_unit_system_units(unit_system))
return spu.convert_to(
sp_obj,
{unit_system[PhysicalType.from_unit(unit)] for unit in get_units(sp_obj)},
)
def strip_unit_system(sp_obj: SympyExpr, unit_system: UnitSystem) -> SympyExpr: