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from pathlib import Path
import numpy as np
import numpy.typing as npt
from typing_extensions import Any
from asammdf import MDF, Signal, SUPPORTED_VERSIONS
import asammdf.blocks.v2_v3_blocks as v3b
import asammdf.blocks.v2_v3_constants as v3c
import asammdf.blocks.v4_blocks as v4b
import asammdf.blocks.v4_constants as v4c
SUPPORTED_VERSIONS = SUPPORTED_VERSIONS[1:] # type: ignore[misc]
cycles = 500
channels_count = 20
array_channels_count = 20
def get_test_data(filename: str = "") -> Path:
"""
Utility functions needed by all test scripts.
"""
return Path(__file__).resolve().parent.joinpath("/data/", filename)
def generate_test_file(tmpdir: str, version: str = "4.10") -> Path | None:
mdf = MDF(version=version)
if version <= "3.30":
filename = Path(tmpdir) / f"big_test_{version}.mdf"
else:
filename = Path(tmpdir) / f"big_test_{version}.mf4"
if filename.exists():
return filename
t = np.arange(cycles, dtype=np.float64)
cls = v4b.ChannelConversion if version >= "4.00" else v3b.ChannelConversion
# no conversion
sigs = []
for i in range(channels_count):
sig = Signal(
np.ones(cycles, dtype=np.uint64) * i,
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=None,
comment=f"Unsigned int 16bit channel {i}",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# linear
sigs = []
for i in range(channels_count):
conversion: dict[str, Any] = {
"conversion_type": v4c.CONVERSION_TYPE_LIN if version >= "4.00" else v3c.CONVERSION_TYPE_LINEAR,
"a": float(i),
"b": -0.5,
}
sig = Signal(
np.ones(cycles, dtype=np.int64),
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=cls(**conversion),
comment=f"Signed 16bit channel {i} with linear conversion",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# algebraic
sigs = []
for i in range(channels_count):
conversion = {
"conversion_type": v4c.CONVERSION_TYPE_ALG if version >= "4.00" else v3c.CONVERSION_TYPE_FORMULA,
"formula": f"{i} * sin(X)",
}
sig = Signal(
np.arange(cycles, dtype=np.int32) / 100.0,
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=cls(**conversion),
comment=f"Sinus channel {i} with algebraic conversion",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# rational
sigs = []
for i in range(channels_count):
conversion = {
"conversion_type": v4c.CONVERSION_TYPE_RAT if version >= "4.00" else v3c.CONVERSION_TYPE_RAT,
"P1": 0,
"P2": i,
"P3": -0.5,
"P4": 0,
"P5": 0,
"P6": 1,
}
sig = Signal(
np.ones(cycles, dtype=np.int64),
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=cls(**conversion),
comment=f"Channel {i} with rational conversion",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# string
sigs = []
encoding = "latin-1" if version < "4.00" else "utf-8"
for i in range(channels_count):
strings = [f"Channel {i} sample {j}".encode(encoding) for j in range(cycles)]
sig = Signal(
np.array(strings),
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
comment=f"String channel {i}",
raw=True,
encoding=encoding,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# byte array
sigs = []
ones = np.ones(cycles, dtype=np.dtype("(8,)u1"))
for i in range(channels_count):
sig = Signal(
ones * i,
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
comment=f"Byte array channel {i}",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# value to text
sigs = []
ones = np.ones(cycles, dtype=np.uint64)
conversion = {
"raw": np.arange(255, dtype=np.float64),
"phys": np.array([f"Value {i}".encode("ascii") for i in range(255)]),
"conversion_type": v4c.CONVERSION_TYPE_TABX if version >= "4.00" else v3c.CONVERSION_TYPE_TABX,
"links_nr": 260,
"ref_param_nr": 255,
}
for i in range(255):
conversion[f"val_{i}"] = conversion[f"param_val_{i}"] = conversion["raw"][i]
conversion[f"text_{i}"] = conversion["phys"][i]
conversion[f"text_{255}"] = "Default"
for i in range(channels_count):
sig = Signal(
ones * i,
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
comment=f"Value to text channel {i}",
conversion=cls(**conversion),
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
name = mdf.save(filename, overwrite=True)
mdf.close()
return None
def generate_arrays_test_file(tmpdir: str) -> Path | None:
version = "4.10"
mdf = MDF(version=version)
filename = Path(tmpdir) / f"arrays_test_{version}.mf4"
if filename.exists():
return filename
t = np.arange(cycles, dtype=np.float64)
# lookup tabel with axis
sigs = []
for i in range(array_channels_count):
samples: list[npt.NDArray[Any]] = [
np.ones((cycles, 2, 3), dtype=np.uint64) * i,
np.ones((cycles, 2), dtype=np.uint64) * i,
np.ones((cycles, 3), dtype=np.uint64) * i,
]
types: list[npt.DTypeLike] = [
(f"Channel_{i}", "(2, 3)<u8"),
(f"channel_{i}_axis_1", "(2, )<u8"),
(f"channel_{i}_axis_2", "(3, )<u8"),
]
sig = Signal(
np.rec.fromarrays(samples, dtype=np.dtype(types)),
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=None,
comment=f"Array channel {i}",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# lookup tabel with default axis
sigs = []
for i in range(array_channels_count):
samples = [np.ones((cycles, 2, 3), dtype=np.uint64) * i]
types = [(f"Channel_{i}", "(2, 3)<u8")]
sig = Signal(
np.rec.fromarrays(samples, dtype=np.dtype(types)),
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=None,
comment=f"Array channel {i} with default axis",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
# structure channel composition
sigs = []
for i in range(array_channels_count):
samples = [
np.ones(cycles, dtype=np.uint8) * i,
np.ones(cycles, dtype=np.uint16) * i,
np.ones(cycles, dtype=np.uint32) * i,
np.ones(cycles, dtype=np.uint64) * i,
np.ones(cycles, dtype=np.int8) * i,
np.ones(cycles, dtype=np.int16) * i,
np.ones(cycles, dtype=np.int32) * i,
np.ones(cycles, dtype=np.int64) * i,
]
types = [
(f"struct_{i}_channel_0", np.uint8),
(f"struct_{i}_channel_1", np.uint16),
(f"struct_{i}_channel_2", np.uint32),
(f"struct_{i}_channel_3", np.uint64),
(f"struct_{i}_channel_4", np.int8),
(f"struct_{i}_channel_5", np.int16),
(f"struct_{i}_channel_6", np.int32),
(f"struct_{i}_channel_7", np.int64),
]
sig = Signal(
np.rec.fromarrays(samples, dtype=np.dtype(types)),
t,
name=f"Channel_{i}",
unit=f"unit_{i}",
conversion=None,
comment=f"Structure channel composition {i}",
raw=True,
)
sigs.append(sig)
mdf.append(sigs, common_timebase=True)
name = mdf.save(filename, overwrite=True)
mdf.close()
return None
if __name__ == "__main__":
# generate_test_file("3.30")
# generate_test_file("4.10")
generate_arrays_test_file(r"D:\TMP")
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