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@@ -8,8 +8,6 @@ exclude_lines = | |
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pragma: no cover | ||
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def update_geometry | ||
async def update_geometry_async | ||
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[run] | ||
omit = | ||
|
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import ctypes | ||
from collections.abc import Iterable | ||
from typing import Generic, TypeVar | ||
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import numpy as np | ||
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from pyautd3.driver.datagram.modulation.modulation import ModulationBase | ||
from pyautd3.driver.datagram.modulation.radiation_pressure import IntoModulationRadiationPressure | ||
from pyautd3.native_methods.autd3capi import NativeMethods as Base | ||
from pyautd3.native_methods.autd3capi_driver import ModulationPtr | ||
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from .cache import IntoModulationCache | ||
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M = TypeVar("M", bound=ModulationBase) | ||
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class Fir( | ||
IntoModulationCache["Fir[M]"], | ||
IntoModulationRadiationPressure["Fir[M]"], | ||
ModulationBase["Fir[M]"], | ||
Generic[M], | ||
): | ||
_m: M | ||
_coef: np.ndarray | ||
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def __init__(self: "Fir[M]", m: M, iterable: Iterable[float]) -> None: | ||
self._m = m | ||
self._loop_behavior = m._loop_behavior | ||
self._coef = np.fromiter(iterable, dtype=ctypes.c_float) | ||
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def _modulation_ptr(self: "Fir[M]") -> ModulationPtr: | ||
return Base().modulation_with_fir( | ||
self._m._modulation_ptr(), | ||
self._loop_behavior, | ||
self._coef.ctypes.data_as(ctypes.POINTER(ctypes.c_float)), # type: ignore[arg-type] | ||
len(self._coef), | ||
) | ||
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class IntoModulationFir(ModulationBase[M], Generic[M]): | ||
def with_fir(self: M, iterable: Iterable[float]) -> "Fir[M]": | ||
return Fir(self, iterable) |
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import ctypes | ||
import threading | ||
from collections.abc import Callable | ||
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from pyautd3.driver.datagram.with_parallel_threshold import IntoDatagramWithParallelThreshold | ||
from pyautd3.driver.datagram.with_timeout import IntoDatagramWithTimeout | ||
from pyautd3.driver.firmware.fpga.phase import Phase | ||
from pyautd3.driver.geometry import Geometry | ||
from pyautd3.driver.geometry.device import Device | ||
from pyautd3.driver.geometry.transducer import Transducer | ||
from pyautd3.native_methods.autd3capi import NativeMethods as Base | ||
from pyautd3.native_methods.autd3capi_driver import DatagramPtr, GeometryPtr | ||
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from .datagram import Datagram | ||
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class PhaseCorrection( | ||
IntoDatagramWithTimeout["PhaseCorrection"], | ||
IntoDatagramWithParallelThreshold["PhaseCorrection"], | ||
Datagram, | ||
): | ||
_cache: dict[int, Callable[[Transducer], Phase]] | ||
_lock: threading.Lock | ||
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def __init__(self: "PhaseCorrection", f: Callable[[Device], Callable[[Transducer], Phase]]) -> None: | ||
super().__init__() | ||
self._cache = {} | ||
self._lock = threading.Lock() | ||
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def f_native(_context: ctypes.c_void_p, geometry_ptr: GeometryPtr, dev_idx: int, tr_idx: int) -> int: | ||
if dev_idx not in self._cache: | ||
with self._lock: | ||
self._cache[dev_idx] = f(Device(dev_idx, geometry_ptr)) | ||
return self._cache[dev_idx](Transducer(tr_idx, Base().device(geometry_ptr, dev_idx))).value | ||
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self._f_native = ctypes.CFUNCTYPE(ctypes.c_uint8, ctypes.c_void_p, GeometryPtr, ctypes.c_uint16, ctypes.c_uint8)(f_native) | ||
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def _datagram_ptr(self: "PhaseCorrection", geometry: Geometry) -> DatagramPtr: | ||
return Base().datagram_phase_corr(self._f_native, None, geometry._ptr) # type: ignore[arg-type] |
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