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added __main__ to reader study programs
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@Neywiny
Neywiny committed Aug 16, 2019
1 parent 5b415b1 commit dfdd80b
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Showing 2 changed files with 112 additions and 110 deletions.
87 changes: 44 additions & 43 deletions DylAFC.py
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Original file line number Diff line number Diff line change
Expand Up @@ -209,46 +209,47 @@ def __exit__(self, *args):
root.destroy()
except Exception: #root already destroyed
self.counter: int = 0 # to sate the linters
HEIGHT: int = 700
WIDTH: int = 1300
IMGWIDTH: int = 600
IMGHEIGHT: int = 600
root = Tk()
#canvas = Canvas(root, width=WIDTH, height=HEIGHT)
#canvas.pack()
#img = Image.open("repository-pic.png")
#img.thumbnail((IMGWIDTH, IMGHEIGHT))
#img = ImageTk.PhotoImage(img)
label: Label = Label(root, text="Choose Most Likely to have Signal", font=('Arial', 56))
label.grid(row=0, column=0)
frame: Frame = Frame(root)
img1: Label = Label(frame)#, image=img)
img2: Label = Label(frame)#, image=img)
img1.grid(row=0, column=0, sticky=E)
img2.grid(row=0, column=2, sticky=W)
if len(argv) < 9:
print(f"Usage: {__file__} [target present directory] [target absent directory] [answers directory] [merge ip] [merger port] [n0] [n1] [log file]")
else:
modes: list = [
("Answers", "answers"),
("AFC Training", "training"),
("Study", "study")
]
frame.grid_columnconfigure(1, weight=1)
with AFC(*argv[1:]) as afc:
afc.title: Label = label
afc.mode = StringVar()
afc.mode.set("none")
afc.img1: Label = img1
afc.img2: Label = img2
buttons: Frame = Frame(frame)
for i, (text, mode) in enumerate(modes):
b: Radiobutton = Radiobutton(buttons, text=text, value=mode, variable=afc.mode, indicatoron=0, command=afc.switchModes)
b.grid(row=i, column=0)
buttons.grid(row=0, column=1)
root.bind("<Key>", afc.pressed)
root.bind("<Button-1>", afc.clicked)
root.protocol("WM_DELETE_WINDOW", afc.exit)
root.after(1, afc.run)
frame.grid(row=1, column=0)
mainloop()
if __name__ == "__main__":
if len(argv) < 9:
print(f"Usage: {__file__} [target present directory] [target absent directory] [answers directory] [merge ip] [merger port] [n0] [n1] [log file]")
else:
HEIGHT: int = 700
WIDTH: int = 1300
IMGWIDTH: int = 600
IMGHEIGHT: int = 600
root = Tk()
#canvas = Canvas(root, width=WIDTH, height=HEIGHT)
#canvas.pack()
#img = Image.open("repository-pic.png")
#img.thumbnail((IMGWIDTH, IMGHEIGHT))
#img = ImageTk.PhotoImage(img)
label: Label = Label(root, text="Choose Most Likely to have Signal", font=('Arial', 56))
label.grid(row=0, column=0)
frame: Frame = Frame(root)
img1: Label = Label(frame)#, image=img)
img2: Label = Label(frame)#, image=img)
img1.grid(row=0, column=0, sticky=E)
img2.grid(row=0, column=2, sticky=W)
modes: list = [
("Answers", "answers"),
("AFC Training", "training"),
("Study", "study")
]
frame.grid_columnconfigure(1, weight=1)
with AFC(*argv[1:]) as afc:
afc.title: Label = label
afc.mode = StringVar()
afc.mode.set("none")
afc.img1: Label = img1
afc.img2: Label = img2
buttons: Frame = Frame(frame)
for i, (text, mode) in enumerate(modes):
b: Radiobutton = Radiobutton(buttons, text=text, value=mode, variable=afc.mode, indicatoron=0, command=afc.switchModes)
b.grid(row=i, column=0)
buttons.grid(row=0, column=1)
root.bind("<Key>", afc.pressed)
root.bind("<Button-1>", afc.clicked)
root.protocol("WM_DELETE_WINDOW", afc.exit)
root.after(1, afc.run)
frame.grid(row=1, column=0)
mainloop()
135 changes: 68 additions & 67 deletions DylScale.py
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Original file line number Diff line number Diff line change
Expand Up @@ -126,71 +126,72 @@ def __init__(self, master, from_color, to_color, width=None, height=None, orient
self._gradient_photoimage = ImageTk.PhotoImage(image)
self.create_image(0, 0, anchor=NW, image=self._gradient_photoimage)

if len(argv) == 2:
import ROC1
import matplotlib.pyplot as plt
import numpy as np
x0 = list()
x1 = list()
times = list()
with open(argv[1]) as f:
posDir, negDir = f.readline().strip().split()
for line in f:
line = line.strip().split()
score = int(line[1])
if negDir in line[0]:
x0.append(score)
else:
x1.append(score)
time = float(line[2])
if time < 30:
times.append(time)
x1, x0 = np.array(x1), np.transpose(x0)
print(len(x1), len(x0))
roc = ROC1.rocxy(x1, x0)
sm = ROC1.successmatrix(x1, x0)
AUC = np.mean(sm)
VAR = ROC1.unbiasedMeanMatrixVar(sm, 1)
fig, (ax1, ax2) = plt.subplots(ncols=2)
ax1.set_xlim(left=-0.01, right=1.01)
ax1.set_ylim(top=1.01, bottom=-0.01)
ax1.plot(roc['x'], roc['y'])
ax1.set_title(f"N:{len(x1) + len(x0)} AUC:{AUC} VAR:{VAR:0.05f}")
ax2.plot(times)
ax2.set_title(f"Avg time {np.mean(times):0.2f}s")
plt.show()
elif len(argv) != 5 and len(argv) != 6:
print(f"Usage: \n\tpython3 {__file__} [signal present directory] [signal absent directory] [n] [output file] [offset (optional)]\n\tpython3 {__file__} [results file]")
else:
IMGWIDTH: int = 600
IMGHEIGHT: int = 600
root = Tk()
#root.geometry("800x800")
title = Label(root, text="Choose the percent chance of there being a signal")
title.grid(row=0, column=0)
label = Label(root)
if len(argv) < 6:
argv.append("0")
try:
rating = Rating(*argv[1:], label)
label.configure(image=rating.images[0])
label.grid(row=1, column=0)
ticks = Frame(root)
ticks.grid(row=1, column=1)
for tickmark in range(0, 110, 10):
text = Label(ticks, text=str(tickmark))
row: int = 10-(tickmark//10)
text.grid(row=row, column=0, sticky=E, pady=18)
gradient = GradientFrame(root, from_color="#000000", to_color="#FFFFFF", height=IMGHEIGHT, width=100, orient=HORIZONTAL)
gradient.grid(row=1, column=2)
rating.canvas = gradient
gradient.bind("<Button-1>", rating.drawBar)
button = Button(text="next", command=rating.next)
button.grid(row=2, column=2)
root.bind("<Return>", rating.next)
rating.t1 = time()
root.mainloop()
if __name__ == "__main__":
if len(argv) == 2:
import ROC1
import matplotlib.pyplot as plt
import numpy as np
x0 = list()
x1 = list()
times = list()
with open(argv[1]) as f:
posDir, negDir = f.readline().strip().split()
for line in f:
line = line.strip().split()
score = int(line[1])
if negDir in line[0]:
x0.append(score)
else:
x1.append(score)
time = float(line[2])
if time < 30:
times.append(time)
x1, x0 = np.array(x1), np.transpose(x0)
print(len(x1), len(x0))
roc = ROC1.rocxy(x1, x0)
sm = ROC1.successmatrix(x1, x0)
AUC = np.mean(sm)
VAR = ROC1.unbiasedMeanMatrixVar(sm, 1)
fig, (ax1, ax2) = plt.subplots(ncols=2)
ax1.set_xlim(left=-0.01, right=1.01)
ax1.set_ylim(top=1.01, bottom=-0.01)
ax1.plot(roc['x'], roc['y'])
ax1.set_title(f"N:{len(x1) + len(x0)} AUC:{AUC} VAR:{VAR:0.05f}")
ax2.plot(times)
ax2.set_title(f"Avg time {np.mean(times):0.2f}s")
plt.show()
elif len(argv) != 5 and len(argv) != 6:
print(f"Usage: \n\tpython3 {__file__} [signal present directory] [signal absent directory] [n] [output file] [offset (optional)]\n\tpython3 {__file__} [results file]")
else:
IMGWIDTH: int = 600
IMGHEIGHT: int = 600
root = Tk()
#root.geometry("800x800")
title = Label(root, text="Choose the percent chance of there being a signal")
title.grid(row=0, column=0)
label = Label(root)
if len(argv) < 6:
argv.append("0")
try:
rating = Rating(*argv[1:], label)
label.configure(image=rating.images[0])
label.grid(row=1, column=0)
ticks = Frame(root)
ticks.grid(row=1, column=1)
for tickmark in range(0, 110, 10):
text = Label(ticks, text=str(tickmark))
row: int = 10-(tickmark//10)
text.grid(row=row, column=0, sticky=E, pady=18)
gradient = GradientFrame(root, from_color="#000000", to_color="#FFFFFF", height=IMGHEIGHT, width=100, orient=HORIZONTAL)
gradient.grid(row=1, column=2)
rating.canvas = gradient
gradient.bind("<Button-1>", rating.drawBar)
button = Button(text="next", command=rating.next)
button.grid(row=2, column=2)
root.bind("<Return>", rating.next)
rating.t1 = time()
root.mainloop()

except ValueError:
print("Invalid Arguments")
root.destroy()
except ValueError:
print("Invalid Arguments")
root.destroy()

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