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Copy pathRunTime.py
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159 lines (132 loc) · 4.7 KB
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import sys
import time
import os
from os.path import exists
from Matrix import Matrix
from BasicTest import testHeading
if __name__ == "__main__":
mode = "add"
algs = {
"BMM": False,
"SAM": False,
"SAMk": False
}
size = 5
steps = 4
stepSize = 5
trials = 3
k = 0
if(len(sys.argv) > 1):
for i in range(1, len(sys.argv)):
if sys.argv[i] == "size" and len(sys.argv) > i + 1:
size = int(sys.argv[i + 1])
elif sys.argv[i] == "steps" and len(sys.argv) > i + 1:
steps = int(sys.argv[i + 1])
elif sys.argv[i] == "stepSize" and len(sys.argv) > i + 1:
stepSize = int(sys.argv[i + 1])
elif sys.argv[i] == "trials" and len(sys.argv) > i + 1:
trials = int(sys.argv[i + 1])
elif sys.argv[i] == "mode" and len(sys.argv) > i + 1:
mode = sys.argv[i + 1]
elif algs.__contains__(sys.argv[i]):
algs[sys.argv[i]] = True
elif sys.argv[i] == "k" and len(sys.argv) > i + 1:
k = int(sys.argv[i + 1])
if not algs["BMM"] and not algs["SAM"] and not algs["SAMk"]:
algs["BMM"] = algs["SAM"] = True
maxSize = 0
if mode == "mul":
maxSize = size * stepSize ** (steps - 1)
elif mode == "add":
maxSize = (steps-1)*stepSize + size
if not exists("RunTimeResults/"):
os.mkdir("RunTimeResults")
if not k == 0:
print(f"Testing matrices from n={size} to n={maxSize} (k={k})")
else:
print(f"Testing matrices from n={size} to n={maxSize}")
fileName = f"{size}_to_{maxSize}"
active_algs = []
for key, value in algs.items():
if value:
active_algs.append(key)
alg_str = "_".join(active_algs)
fileName = f"{alg_str}_{fileName}"
if not k == 0:
fileName = f"{fileName}_k={k}"
else:
k=8
numString = ""
num = 0
while(exists("RunTimeResults/" + fileName + numString + ".csv")):
num = num + 1
numString = f"({num})"
fileName = fileName + numString
fileName = fileName + ".csv"
file = open("RunTimeResults/" + fileName, 'w')
file.write("Matrix Size, Elements")
if algs["BMM"]:
for trial in range(trials):
file.write(f", BMM{trial}")
if algs["SAM"]:
for trial in range(trials):
file.write(f", SAM{trial}")
if algs["SAMk"]:
for trial in range(trials):
file.write(f", SAMk{trial}")
file.write("\n")
file.close()
loadingBarSize = 20
loadingBar = " " * loadingBarSize
print(f"Multiplying matrices... [{loadingBar}] (0/{steps}) ", end="\r")
matrix = Matrix()
data = []
for i in range(size):
column = []
for j in range(size):
column.append(i + j)
data.append(column)
matrix.importData(data)
for step in range(steps):
file = open("RunTimeResults/" + fileName, "a")
file.write(f"{size}, {size ** 2}")
progress = int(step / steps * loadingBarSize)
loadingBar = "█" * progress + " " * (loadingBarSize - progress)
print(f"Multiplying matrices... [{loadingBar}] ({step}/{steps}) ", end="\r")
# Analysis of Basic Multiplication
if algs["BMM"]:
for _ in range(trials):
startTime = time.time()
result = matrix.BMM(matrix)
endTime = time.time()
basicTime = endTime - startTime
file.write(f", {basicTime}")
# Analysis of Straussen's
if algs["SAM"]:
for _ in range(trials):
startTime = time.time()
result = matrix.SAM(matrix)
endTime = time.time()
SAMTime = endTime - startTime
file.write(f", {SAMTime}")
# Analysis of SAMk
if algs["SAMk"]:
for _ in range(trials):
startTime = time.time()
result = matrix.SAMk(matrix, k)
endTime = time.time()
SAMkTime = endTime - startTime
file.write(f", {SAMkTime}")
file.write("\n")
if step < steps-1:
# Expand the old matrix (rather than make a new one)
# Much faster so that tests can run longer
if mode == "mul":
newSize = size * stepSize
elif mode == "add":
newSize = size + stepSize
matrix.expandMatrix(newSize, newSize, fill=(lambda i, j: i + j))
size = newSize
loadingBar = "█" * loadingBarSize
print(f"Multiplying matrices... [{loadingBar}] ({steps}/{steps})\a ")
file.close()