python multiprocessing for mandelbrot set
0
please help speed this up. (I am a multiprocessing noob):
from multiprocessing import Pool
from numpy import real, imag, abs
from PIL import Image
from threading import Thread
import os
resolution = 15000 # not direct resolution, but proportional to it
resolution100=int(resolution*0.01)
size = tuple([100, resolution*2])
color = tuple([1])
start_r = 0
stop_r= 0
"""r is real and i is imaginary where practical"""
def process_job(r):
"""creates a slice of the set"""
img = Image.new('1', size, color) # B&W image
print(int(r + 2*resolution100+1), 'of', int(resolution100 *3))
r = r * 100
for rval in range(100):
for i in range(-resolution, resolution, 1):
if abrot(((r + rval) / resolution), (i / resolution * 1j)):
try:
img.putpixel((rval, i + resolution,), 0)
except:
print(r, rval, i + resolution)
img.save(('z_images/' + str(resolution) + '/' + str(int(r/100)+int(resolution*.02)) + '.png'))
def abrot(x, y):
"""tests a point"""
c = (x + y)
z = 0 + 0j
for _ in range(5):
z = z * z + c
if abs(real(z*z+c))>=2and abs(imag(z*z+c))>=2:
return False
for _ in range(int(resolution / 10)):
if real(z + 0.0001) > float(real(z*z+c)) > real(z - 0.0001):
return True
z = z * z + c
if abs(real(z)) >= 2:
return False
return True
def doItAll(resolution):
with Pool(4, maxtasksperchild=10) as p:
p.map(process_job, range((-2 * resolution100+start_r), resolution100-stop_r, 1))
if __name__ == '__main__':
try:
os.mkdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/') # I know I misspelled it
except:pass
doItAll(resolution)
# image names must be sorted, but are strings like '1.png', so dict is used
beta_dirs=(os.listdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'))
dic={}
for dir in beta_dirs:
key=''
for character in dir:
if character in '1234567890-':
key+=(character)
dic[int(key)]=dir
img = Image.new('1', (resolution*3, resolution*2))
r_offset = 0
for dir in sorted(dic.items()):
im=Image.open('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'+dir[1])
img.paste(im, (r_offset, 0))
r_offset += 100
img.save(('z_images/brot' + str(resolution) + '.png'))
print('saved as brot' + str(resolution) + '.png')
this is being run on a mac fyi, also it runs fine, just slow. mostly looking to speed it up, and allow for restarts more easily. I am running pool with more cores than I think I have, but activity monitor is showing best cpu utilization with 4 processes, so I don't know what I should do
python-3.x
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
0
please help speed this up. (I am a multiprocessing noob):
from multiprocessing import Pool
from numpy import real, imag, abs
from PIL import Image
from threading import Thread
import os
resolution = 15000 # not direct resolution, but proportional to it
resolution100=int(resolution*0.01)
size = tuple([100, resolution*2])
color = tuple([1])
start_r = 0
stop_r= 0
"""r is real and i is imaginary where practical"""
def process_job(r):
"""creates a slice of the set"""
img = Image.new('1', size, color) # B&W image
print(int(r + 2*resolution100+1), 'of', int(resolution100 *3))
r = r * 100
for rval in range(100):
for i in range(-resolution, resolution, 1):
if abrot(((r + rval) / resolution), (i / resolution * 1j)):
try:
img.putpixel((rval, i + resolution,), 0)
except:
print(r, rval, i + resolution)
img.save(('z_images/' + str(resolution) + '/' + str(int(r/100)+int(resolution*.02)) + '.png'))
def abrot(x, y):
"""tests a point"""
c = (x + y)
z = 0 + 0j
for _ in range(5):
z = z * z + c
if abs(real(z*z+c))>=2and abs(imag(z*z+c))>=2:
return False
for _ in range(int(resolution / 10)):
if real(z + 0.0001) > float(real(z*z+c)) > real(z - 0.0001):
return True
z = z * z + c
if abs(real(z)) >= 2:
return False
return True
def doItAll(resolution):
with Pool(4, maxtasksperchild=10) as p:
p.map(process_job, range((-2 * resolution100+start_r), resolution100-stop_r, 1))
if __name__ == '__main__':
try:
os.mkdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/') # I know I misspelled it
except:pass
doItAll(resolution)
# image names must be sorted, but are strings like '1.png', so dict is used
beta_dirs=(os.listdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'))
dic={}
for dir in beta_dirs:
key=''
for character in dir:
if character in '1234567890-':
key+=(character)
dic[int(key)]=dir
img = Image.new('1', (resolution*3, resolution*2))
r_offset = 0
for dir in sorted(dic.items()):
im=Image.open('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'+dir[1])
img.paste(im, (r_offset, 0))
r_offset += 100
img.save(('z_images/brot' + str(resolution) + '.png'))
print('saved as brot' + str(resolution) + '.png')
this is being run on a mac fyi, also it runs fine, just slow. mostly looking to speed it up, and allow for restarts more easily. I am running pool with more cores than I think I have, but activity monitor is showing best cpu utilization with 4 processes, so I don't know what I should do
python-3.x
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
0
0
0
please help speed this up. (I am a multiprocessing noob):
from multiprocessing import Pool
from numpy import real, imag, abs
from PIL import Image
from threading import Thread
import os
resolution = 15000 # not direct resolution, but proportional to it
resolution100=int(resolution*0.01)
size = tuple([100, resolution*2])
color = tuple([1])
start_r = 0
stop_r= 0
"""r is real and i is imaginary where practical"""
def process_job(r):
"""creates a slice of the set"""
img = Image.new('1', size, color) # B&W image
print(int(r + 2*resolution100+1), 'of', int(resolution100 *3))
r = r * 100
for rval in range(100):
for i in range(-resolution, resolution, 1):
if abrot(((r + rval) / resolution), (i / resolution * 1j)):
try:
img.putpixel((rval, i + resolution,), 0)
except:
print(r, rval, i + resolution)
img.save(('z_images/' + str(resolution) + '/' + str(int(r/100)+int(resolution*.02)) + '.png'))
def abrot(x, y):
"""tests a point"""
c = (x + y)
z = 0 + 0j
for _ in range(5):
z = z * z + c
if abs(real(z*z+c))>=2and abs(imag(z*z+c))>=2:
return False
for _ in range(int(resolution / 10)):
if real(z + 0.0001) > float(real(z*z+c)) > real(z - 0.0001):
return True
z = z * z + c
if abs(real(z)) >= 2:
return False
return True
def doItAll(resolution):
with Pool(4, maxtasksperchild=10) as p:
p.map(process_job, range((-2 * resolution100+start_r), resolution100-stop_r, 1))
if __name__ == '__main__':
try:
os.mkdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/') # I know I misspelled it
except:pass
doItAll(resolution)
# image names must be sorted, but are strings like '1.png', so dict is used
beta_dirs=(os.listdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'))
dic={}
for dir in beta_dirs:
key=''
for character in dir:
if character in '1234567890-':
key+=(character)
dic[int(key)]=dir
img = Image.new('1', (resolution*3, resolution*2))
r_offset = 0
for dir in sorted(dic.items()):
im=Image.open('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'+dir[1])
img.paste(im, (r_offset, 0))
r_offset += 100
img.save(('z_images/brot' + str(resolution) + '.png'))
print('saved as brot' + str(resolution) + '.png')
this is being run on a mac fyi, also it runs fine, just slow. mostly looking to speed it up, and allow for restarts more easily. I am running pool with more cores than I think I have, but activity monitor is showing best cpu utilization with 4 processes, so I don't know what I should do
python-3.x
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
please help speed this up. (I am a multiprocessing noob):
from multiprocessing import Pool
from numpy import real, imag, abs
from PIL import Image
from threading import Thread
import os
resolution = 15000 # not direct resolution, but proportional to it
resolution100=int(resolution*0.01)
size = tuple([100, resolution*2])
color = tuple([1])
start_r = 0
stop_r= 0
"""r is real and i is imaginary where practical"""
def process_job(r):
"""creates a slice of the set"""
img = Image.new('1', size, color) # B&W image
print(int(r + 2*resolution100+1), 'of', int(resolution100 *3))
r = r * 100
for rval in range(100):
for i in range(-resolution, resolution, 1):
if abrot(((r + rval) / resolution), (i / resolution * 1j)):
try:
img.putpixel((rval, i + resolution,), 0)
except:
print(r, rval, i + resolution)
img.save(('z_images/' + str(resolution) + '/' + str(int(r/100)+int(resolution*.02)) + '.png'))
def abrot(x, y):
"""tests a point"""
c = (x + y)
z = 0 + 0j
for _ in range(5):
z = z * z + c
if abs(real(z*z+c))>=2and abs(imag(z*z+c))>=2:
return False
for _ in range(int(resolution / 10)):
if real(z + 0.0001) > float(real(z*z+c)) > real(z - 0.0001):
return True
z = z * z + c
if abs(real(z)) >= 2:
return False
return True
def doItAll(resolution):
with Pool(4, maxtasksperchild=10) as p:
p.map(process_job, range((-2 * resolution100+start_r), resolution100-stop_r, 1))
if __name__ == '__main__':
try:
os.mkdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/') # I know I misspelled it
except:pass
doItAll(resolution)
# image names must be sorted, but are strings like '1.png', so dict is used
beta_dirs=(os.listdir('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'))
dic={}
for dir in beta_dirs:
key=''
for character in dir:
if character in '1234567890-':
key+=(character)
dic[int(key)]=dir
img = Image.new('1', (resolution*3, resolution*2))
r_offset = 0
for dir in sorted(dic.items()):
im=Image.open('/Users/milo/PycharmProjects/mandlebrot/venv/z_images/'+str(resolution)+'/'+dir[1])
img.paste(im, (r_offset, 0))
r_offset += 100
img.save(('z_images/brot' + str(resolution) + '.png'))
print('saved as brot' + str(resolution) + '.png')
this is being run on a mac fyi, also it runs fine, just slow. mostly looking to speed it up, and allow for restarts more easily. I am running pool with more cores than I think I have, but activity monitor is showing best cpu utilization with 4 processes, so I don't know what I should do
python-3.x
python-3.x
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
asked 7 mins ago
miloLovesCamelCasemiloLovesCamelCase
1
1
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
miloLovesCamelCase is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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