From 406e6e5917b35edfd076ff73535b408a3dcdd12c Mon Sep 17 00:00:00 2001
From: linarphy <linarphy@linarphy.net>
Date: Wed, 28 Aug 2024 19:01:33 +0200
Subject: [PATCH] Remove useless folder
---
.ipynb_checkpoints/display-checkpoint.py | 186 -----------------------
1 file changed, 186 deletions(-)
delete mode 100755 .ipynb_checkpoints/display-checkpoint.py
diff --git a/.ipynb_checkpoints/display-checkpoint.py b/.ipynb_checkpoints/display-checkpoint.py
deleted file mode 100755
index cc24d81..0000000
--- a/.ipynb_checkpoints/display-checkpoint.py
+++ /dev/null
@@ -1,186 +0,0 @@
-#!/usr/bin/env python3
-
-from gettext import install
-from backscattering_analyzer.display import show_projection # type: ignore[reportMissingTypeStubs]
-from backscattering_analyzer.experiment import AcquisitionType, Experiment # type: ignore[reportMissingTypeStubs]
-from logging import basicConfig, getLogger
-from rich.console import Console
-from rich.theme import Theme
-from rich.logging import RichHandler
-from warnings import filterwarnings
-from command_parser.flag import Flag # type: ignore[reportMissingTypeStubs]
-from command_parser.value import Value # type: ignore[reportMissingTypeStubs]
-from command_parser.parser import parse # type: ignore[reportMissingTypeStubs]
-from sys import argv
-from importlib.metadata import version
-
-install(__name__)
-
-filterwarnings("error")
-
-flags = [
- Flag("help"),
- Flag("version", single_char="V"),
- Flag("verbose"),
- Flag("full"),
-]
-values = [
- Value("date", "2023_03_24"),
- Value("bench", "SDB1"),
- Value("file", "values.toml", single_char="F"),
- Value("vibration-frequency", "0.2"),
-]
-parse(" ".join(argv[1:]), flags, values)
-
-if flags[0].value:
- theme = Theme(
- {
- "main": "white bold",
- "option": "grey50 italic",
- "argument": "red",
- "description": "green italic",
- }
- )
- console = Console(theme=theme)
- help = (
- "[main]display[/main] [option]\\[options][/option]"
- "\n [argument]-b --bench[/argument] [description]bench of the experiment[/description]"
- "\n [argument]-d --date[/argument] [description]date of the experiment[/description]"
- "\n [argument]-h --help[/argument] [description]print this help and exit[/description]"
- "\n [argument]-f --full[/argument] [description]run experiment with all benches with all dates[/description]"
- "\n [argument]-F --file[/argument] [description]file containing all the parameters values (toml file)[/description]"
- "\n [argument]-v --verbose[/argument] [description]be verbose[/description]"
- "\n [argument]-V --version[/argument] [description]print version number and exit[/description]"
- )
- console.print(help)
- exit(0)
-
-if flags[1].value:
- version = (
- "Versions\n"
- "numpy {numpy}\n"
- "scipy {scipy}\n"
- "matplotlib {matplotlib}\n"
- "science_signal {science_signal}\n"
- "backscattering_analyzer {backscattering_analyzer}\n"
- "command_parser {command_parser}\n"
- "script 0.1.0\n"
- ).format(
- numpy=version("numpy"),
- scipy=version("scipy"),
- matplotlib=version("matplotlib"),
- science_signal=version("science_signal"),
- backscattering_analyzer=version("backscattering_analyzer"),
- command_parser=version("command_parser"),
- )
- console = Console()
- console.print(version)
- exit(0)
-
-if flags[2].value:
- level = "DEBUG"
-else:
- level = "INFO"
-
-
-basicConfig(
- level=level,
- format="%(message)s",
- datefmt="[%X]",
- handlers=[RichHandler()],
-)
-
-logger = getLogger(__name__)
-
-if flags[3].value:
- logger.debug(_("loading every experiments"))
- experiments: list[Experiment] = []
- results: dict[str, float | None] = dict({})
- for bench in ["SDB1", "SDB2", "SNEB", "SWEB"]:
- if bench in ["SDB1", "SDB2"]:
- experiment = Experiment(
- bench,
- "2023_03_24",
- values[2].value,
- float(values[3].value),
- )
- if bench == "SDB1":
- start_frequency, end_frequency = 12.5, 30
- else:
- start_frequency, end_frequency = 40, 50
- experiment.factors = experiment.fit_factors(
- start_frequency=start_frequency,
- end_frequency=end_frequency,
- )
- results[
- "{bench}-{date}".format(
- bench=bench,
- date="2023_03_24",
- )
- ] = experiment.factors["true"]
- elif bench == "SNEB":
- for date in ["2023_03_24", "2024_01_21"]:
- experiment = Experiment(
- bench,
- date,
- values[2].value,
- float(values[3].value),
- )
- experiment.factors = experiment.fit_factors(
- start_frequency=15,
- end_frequency=100,
- )
- results["{bench}-{date}".format(bench=bench, date=date)] = (
- experiment.factors["true"]
- )
- else: # bench == SWEB
- for date in ["2023_03_24", "2023_12_20"]:
- experiment = Experiment(
- bench,
- date,
- values[2].value,
- float(values[3].value),
- )
- experiment.factors = experiment.fit_factors(
- start_frequency=15,
- end_frequency=100,
- )
- results["{bench}-{date}".format(bench=bench, date=date)] = (
- experiment.factors["true"]
- )
- console = Console()
- console.print(results)
-
-else:
- experiment = Experiment(
- values[1].value, values[0].value, values[2].value, float(values[3].value)
- )
-
- if experiment.bench == "SDB1":
- start_frequency, end_frequency = 12.5, 30
- elif experiment.bench == "SDB2":
- start_frequency, end_frequency = 40, 50
- else:
- start_frequency, end_frequency = 15, 100
-
- try:
- experiment.factors = experiment.fit_factors(
- start_frequency=start_frequency,
- end_frequency=end_frequency,
- )
- experiment.projection_reference = experiment.compute_projection(
- AcquisitionType.REFERENCE
- )
- experiment.projection_excited = experiment.compute_projection(
- AcquisitionType.EXCITED
- )
- except AttributeError:
- pass
-
- #show_projection(experiment, start_frequency, end_frequency)
- import matplotlib.pyplot as plt
- plt.loglog(experiment.coupling[0].x, experiment.coupling[0].y)
- plt.loglog(experiment.coupling[1].x, experiment.coupling[1].y)
- plt.show()
-
-exit(0)