FilesExpand file tree

 main

/

plot_fig12.py

Copy path

Blame

More file actions

Blame

More file actions

Latest commit

 

History

History

History

46 lines (35 loc) · 1.48 KB

 main

/

plot_fig12.py

Top

File metadata and controls

• Code
• Blame

46 lines (35 loc) · 1.48 KB

Raw

Copy raw file

Download raw file

Open symbols panel

Edit and raw actions

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

import matplotlib.pyplot as plt

import matplotlib.ticker as mticker

import sys, os

# Report the percentage of bit-flips triggered as recorded in the file.

def average_from_file(filename) -> float:

if not os.path.exists(filename):

return 0.0

with open(filename, 'r') as file:

numbers = [int(line.strip()) for line in file]

return sum(numbers) / len(numbers) if numbers else 0

def plot_histogram(x, y):

plt.bar(x, y, edgecolor='black')

plt.xlabel('n-Sided Aggressor Pattern', fontsize=14)

plt.ylabel('% of hammers\ntriggering bit-flips', fontsize=14)

plt.xticks(ticks=x, labels=[str(i) for i in x])

plt.grid(axis='y', linestyle='-', alpha=0.7)

plt.tight_layout()

if __name__ == "__main__":

# Generate input and output directories

HAMMER_ROOT = os.environ['HAMMER_ROOT']

INPUT_DIR = os.path.join(HAMMER_ROOT, "results", "fig12", "raw_data")

OUTPUT_DIR = os.path.join(HAMMER_ROOT, "results", "fig12")

bank_id = 'A'

reps = 50

# Read the data from the files

x = list(range(8, 25)) # Test 8 to 24 sided patterns

y = [0] * 17

for num_agg in range(8, 25):

filename = os.path.join(INPUT_DIR, f"{num_agg}agg_b{bank_id}_count.txt")

y[num_agg - 8] = average_from_file(filename) / reps

# Plot

plt.figure(figsize=(6, 2.5))

plt.gca().yaxis.set_major_formatter(mticker.PercentFormatter(xmax=1, decimals=0))

plot_histogram(x, y)

plt.savefig(os.path.join(OUTPUT_DIR, "fig12.pdf"))