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Add support for reference-only data

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linarphy 2024-06-18 17:53:16 +02:00
parent c4e25bcc3c
commit 8c0694bf5e
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1 changed files with 22 additions and 25 deletions
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47
display.py
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@ -1,16 +1,16 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
from gettext import install from gettext import install
from backscattering_analyzer.display import show_projection # type: ignore[reportMissingTypeStubs] from backscattering_analyzer.display import show_projection # type: ignore[reportMissingTypeStubs]
from backscattering_analyzer.experiment import Experiment # type: ignore[reportMissingTypeStubs] from backscattering_analyzer.experiment import Experiment # type: ignore[reportMissingTypeStubs]
from logging import basicConfig, getLogger from logging import basicConfig, getLogger
from rich.console import Console from rich.console import Console
from rich.theme import Theme from rich.theme import Theme
from rich.logging import RichHandler from rich.logging import RichHandler
from warnings import filterwarnings from warnings import filterwarnings
from command_parser.flag import Flag # type: ignore[reportMissingTypeStubs] from command_parser.flag import Flag # type: ignore[reportMissingTypeStubs]
from command_parser.value import Value # type: ignore[reportMissingTypeStubs] from command_parser.value import Value # type: ignore[reportMissingTypeStubs]
from command_parser.parser import parse # type: ignore[reportMissingTypeStubs] from command_parser.parser import parse # type: ignore[reportMissingTypeStubs]
from sys import argv from sys import argv
from importlib.metadata import version from importlib.metadata import version
@ -127,15 +127,12 @@ if flags[3].value:
float(values[3].value), float(values[3].value),
) )
experiment.factors = experiment.fit_factors( experiment.factors = experiment.fit_factors(
start_frequency = 15, start_frequency=15,
end_frequency = 100, end_frequency=100,
)
results["{bench}-{date}".format(bench=bench, date=date)] = (
experiment.factors["true"]
) )
results[
"{bench}-{date}".format(
bench=bench,
date=date
)
] = experiment.factors["true"]
else: # bench == SWEB else: # bench == SWEB
for date in ["2023_03_24", "2023_12_20"]: for date in ["2023_03_24", "2023_12_20"]:
experiment = Experiment( experiment = Experiment(
@ -145,15 +142,12 @@ if flags[3].value:
float(values[3].value), float(values[3].value),
) )
experiment.factors = experiment.fit_factors( experiment.factors = experiment.fit_factors(
start_frequency = 15, start_frequency=15,
end_frequency = 100, end_frequency=100,
)
results["{bench}-{date}".format(bench=bench, date=date)] = (
experiment.factors["true"]
) )
results[
"{bench}-{date}".format(
bench=bench,
date=date
)
] = experiment.factors["true"]
console = Console() console = Console()
console.print(results) console.print(results)
@ -169,10 +163,13 @@ else:
else: else:
start_frequency, end_frequency = 15, 100 start_frequency, end_frequency = 15, 100
experiment.factors = experiment.fit_factors( try:
start_frequency=start_frequency, experiment.factors = experiment.fit_factors(
end_frequency=end_frequency, start_frequency=start_frequency,
) end_frequency=end_frequency,
)
except AttributeError:
pass
show_projection(experiment, start_frequency, end_frequency) show_projection(experiment, start_frequency, end_frequency)