feat: removed the generated output and the python scripts to plot the results

1 files changed, 0 insertions, 133 deletions

diff --git a/results/src/experiment2/__main__.py b/results/src/experiment2/__main__.py
deleted file mode 100644
index a2ac22a7..00000000
--- a/results/src/experiment2/__main__.py
+++ /dev/null
@@ -1,133 +0,0 @@
-import pandas as pd
-import time
-import csv
-import os
-from time import gmtime, strftime
-import numpy as np
-import matplotlib.pyplot as plt
-
-CONSTANT = 3_6000_000 / 24
-
-
-def get_name() -> str:
-
-    curr = time.time()
-    s = strftime("%d_%b_%Y_%H%M%S", gmtime(curr))
-    return s
-
-
-def main():
-    dictionary_alert = {
-        "3600000": 11,
-        "180000000": 11,
-        "212400000": 103,
-        "216000000": 103,
-        "219600000": 103,
-        "223200000": 103,
-        "374400000": 57,
-        "712800000": 103,
-        "795600000": 57,
-        "838800000": 11,
-        "882000000": 103,
-        "975600000": 57,
-        "979200000": 11,
-        "982800000": 11,
-        "1087200000": 11,
-        "1234800000": 11,
-        "1404000000": 11,
-        "1854000000": 103,
-        "1857600000": 103,
-        "1861200000": 103,
-        "1926000000": 36,
-        "2034000000": 103,
-        "2037600000": 103,
-        "2041200000": 34,
-        "2080800000": 11,
-        "2102400000": 11,
-        "2163600000": 11,
-        "2185200000": 57,
-        "2383200000": 57,
-    }
-
-    dictionary_red = {
-        212400000: 70,
-        216000000: 70,
-        219600000: 70,
-        223200000: 70,
-        374400000: 24,
-        712800000: 70,
-        795600000: 24,
-        882000000: 70,
-        975600000: 24,
-        1854000000: 70,
-        1857600000: 70,
-        1861200000: 70,
-        1926000000: 7,
-        2034000000: 70,
-        2037600000: 70,
-        2041200000: 1,
-        2185200000: 24,
-        2383200000: 23,
-    }
-
-    dictionary_yellow = {
-        3600000: 11,
-        180000000: 11,
-        212400000: 33,
-        216000000: 33,
-        219600000: 33,
-        223200000: 33,
-        374400000: 33,
-        712800000: 33,
-        795600000: 33,
-        838800000: 11,
-        882000000: 33,
-        975600000: 33,
-        979200000: 11,
-        982800000: 11,
-        1087200000: 11,
-        1234800000: 11,
-        1404000000: 11,
-        1854000000: 33,
-        1857600000: 33,
-        1861200000: 33,
-        1926000000: 33,
-        2034000000: 33,
-        2037600000: 33,
-        2041200000: 33,
-        2080800000: 11,
-        2102400000: 11,
-        2163600000: 11,
-        2185200000: 33,
-        2383200000: 33,
-    }
-
-    df = pd.DataFrame(list(dictionary_red.items()), columns=["timestamp", "count"])
-    df2 = pd.DataFrame(list(dictionary_yellow.items()), columns=["timestamp", "count"])
-
-    plt.plot(
-        df["timestamp"] / CONSTANT,
-        df["count"],
-        label="Red alerts",
-        linewidth=1,
-        zorder=2,
-    )
-    plt.plot(
-        df2["timestamp"] / CONSTANT,
-        df2["count"],
-        label="Yellow alerts",
-        linewidth=3,
-        zorder=1,
-    )
-    plt.xlabel("Time [days]")
-    plt.ylabel("Alerts issued")
-    plt.title("Failure detection results")
-    plt.legend()
-
-    path = os.getcwd() + "/src/experiment2/"
-    location: str = path + "figures/%s.pdf" % get_name()
-    plt.savefig(location, dpi=300)
-
-
-if __name__ == "__main__":
-    main()