def handle(self, *args, **options):
if options['profile']:
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
else:
self._handle(*args, **options)
def handle(self, **options):
"""Django entry point."""
def validate_options():
"""Validate command line options."""
if not options['destination']:
raise CommandError('Please specify the --destination option')
if not options['format']:
raise CommandError('Please specify the --format option')
if options['format'] in ['bed', 'all'] and not options['bedToBigBed']:
raise CommandError('Please specify the --bedToBigBed option')
if options['format'] not in self.formats:
raise CommandError('Please choose a valid output format (%s)' % '|'.join(self.formats))
validate_options()
if options['profile']:
profiler = Profile()
profiler.runcall(self.export, **options)
profiler.print_stats()
profiler.dump_stats('profile.txt')
elif options['format'] == 'all':
self.export_all(**options)
else:
self.export(**options)
def handle(self, *args, **options):
"""
Main function, called by django.
"""
if options['upis']:
options['upis'] = options['upis'].split(',')
elif options['upi_file']:
with open(options['upi_file'], 'rb') as raw:
options['upis'] = [line.strip() for line in raw]
else:
if not options['min'] and options['min'] != 0:
raise CommandError('Please specify --min')
if not options['max']:
raise CommandError('Please specify --max')
options['min'] = int(options['min'])
options['max'] = int(options['max'])
if not options['date']:
options['date'] = date.today()
else:
options['date'] = dt.strptime(options['date'], '%Y-%m-%d')
if options['profile']:
profiler = Profile()
profiler.runcall(self.run, options)
profiler.print_stats()
profiler.dump_stats('profile.txt')
else:
self.run(options)
def test_perf(self):
def test_union(ds: DisjointSet, random_seq):
for a, b in random_seq:
ds.union(a, b)
n = 64000
random_key = list(set(randint(0, n) for _ in range(n)))
n = len(random_key)
random_tup = [(choice(random_key), choice(random_key))
for _ in range(n << 1)]
ds = DisjointSet(random_key)
print("-" * 32)
p2 = Profile()
p2.runcall(test_union, ds=ds, random_seq=random_tup)
p2.print_stats()
print("-" * 32, "n = ", n)
levels = ds.get_levels()
for c, num in levels:
print("level = {}, num = {:8}, per = {}".format(
c, num, round(num / n, 4)))
print("Expected level: ",
round(sum(c * num / n for c, num in levels), 4))
def profile(sort):
if not sort:
yield
return
sort_columns = (
"calls",
"cumtime",
"file",
"ncalls",
"pcalls",
"line",
"name",
"nfl",
"stdname",
"time",
"tottime",
)
if sort not in sort_columns:
raise RuntimeError(
"{} not a valid sort column. Please use one of {}".format(
sort, ", ".join(sort_columns)))
try:
from cProfile import Profile # type: ignore
except ImportError:
from Profile import Profile # type: ignore
prof = Profile()
prof.enable()
yield
prof.create_stats()
prof.print_stats(sort=sort)
def handle(self, **options):
"""
Django entry point.
"""
def validate_options():
"""
Validate command line options.
"""
if not options['destination']:
raise CommandError('Please specify the --destination option')
if not options['format']:
raise CommandError('Please specify the --format option')
if options['format'] in ['bed', 'all'] and not options['bedToBigBed']:
raise CommandError('Please specify the --bedToBigBed option')
if options['format'] not in self.formats:
raise CommandError('Please choose a valid output format (%s)' % '|'.join(self.formats))
validate_options()
if options['profile']:
profiler = Profile()
profiler.runcall(self.export, **options)
profiler.print_stats()
profiler.dump_stats('profile.txt')
elif options['format'] == 'all':
self.export_all(**options)
else:
self.export(**options)
def wrap(*args, **kw):
pr = Profile()
pr.enable()
result = func(*args, **kw)
pr.disable()
pr.print_stats()
return result
def handle(self, *args, **options):
if options['profile']:
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
else:
self._handle(*args, **options)
def run(self):
haichi=[[0 for i in range(8)] for j in range(15)]
for i in range(15):
haichi[i][0]=20
haichi[i][7]=20
for i in range(1,7):
haichi[0][i]=20
fort=Fort()
ai=aiclass.AIField(haichi)
t1=time.time()
pr=Profile()
pr.enable()
for i in range(1000):
ai.haichi[1][1]=i%4
ai.haichi[1][2]=i%3
ai.haichi[1][3]=i%2
ai.haichi[1][4]=i%3
ai.haichi[1][5]=4
ai.haichi[1][6]=1
ai.haichi[2][1]=1
ai.haichi[2][2]=1
ai.haichi[2][3]=3
ai.haichi[2][4]=2
ai.haichi[2][5]=3
fort.call_fortran(ai.haichi)
pr.disable()
pr.print_stats()
t2=time.time()
print(t2-t1)
print(haichi)
def handle(self, *args, **options):
""" Handles the command line arguments - initiates profiling if set to true """
if options.get('profile', False):
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
else:
self._handle(*args, **options)
def handle(self, *args, **options):
""" Handles the command line arguments - initiates profiling if set to true """
if options.get('profile', False):
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
else:
self._handle(*args, **options)
def handle(self, *args, **options):
# run with profiling
if options['profile']:
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
# run without profiling
else:
self._handle(*args, **options)
def handle(self, *args, **options):
"""Command entrypoint"""
if options['profile']:
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
else:
self._handle(*args, **options)
def handle(self, *args, **options):
# run with profiling
if options['profile']:
profiler = Profile()
profiler.runcall(self._handle, *args, **options)
profiler.print_stats()
# run without profiling
else:
self._handle(*args, **options)
def profiled_func(*args, **kwargs):
p = Profile()
try:
# profile the input function
p.enable()
r = f(*args, **kwargs)
p.disable()
return r
finally:
p.print_stats()
def apply_some_filters_profile():
frames = tests.input_bulk(200)
profiler = Profile()
profiler.enable()
augmentation.apply_some_filters(frames, tests.config.framerate)
profiler.disable()
profiler.print_stats()
def wrapper(*args, **kwargs):
profiler = Profile()
result = profiler.runcall(func, *args, **kwargs)
if print_data:
profiler.print_stats()
filename = func.__name__
profiler.dump_stats(filename)
if visualized:
visualize(filename, host, port)
return result
def main():
prof = Profile()
prof.runcall(test_1)
prof.print_stats()
print("-" * 20)
prof2 = Profile()
prof2.runcall(test_2)
prof2.print_stats()
def profiled_funk(*args, **kwargs):
profile = Profile()
try:
profile.enable()
ret_val = funk(*args, **kwargs)
profile.disable()
finally:
print("__CPROFILE__")
profile.print_stats()
return ret_val
def profiled_funk(*args, **kwargs):
"""wrapper funk"""
profile = Profile()
try:
profile.enable()
ret_val = funk(*args, **kwargs)
profile.disable()
finally:
print("__CPROFILE__")
profile.print_stats("cumulative")
return ret_val
def handle(self, *args, **options):
"""
Main function, called by django.
"""
def _handle(self, *args, **options):
"""
Main program. Separated from `handle` to enable Python profiling.
"""
def set_command_line_options():
"""
Store the command line options in the corresponding `self` variables.
"""
cmd_options = ['bedToBigBed', 'destination', 'format', 'test']
for cmd_option in cmd_options:
if options[cmd_option]:
self.options[cmd_option] = options[cmd_option]
def validate_command_line_options():
"""
Validate the command line options.
"""
if not self.options['destination']:
raise CommandError(
'Please specify the --destination option')
if not os.path.exists(self.options['destination']):
os.makedirs(self.options['destination'])
if not self.options['bedToBigBed'] and (
options['format'] == 'bed'
or options['format'] == 'all'):
raise CommandError(
'Please specify the --bedToBigBed option')
if not self.options['format']:
raise CommandError('Please specify the --format option')
if self.options['format'] not in self.formats:
raise CommandError(
'Please specify correct output format. See --help for details.'
)
set_command_line_options()
validate_command_line_options()
self.export_factory(mode=self.options['format'])
if options['profile']:
profiler = Profile()
profiler.runcall(_handle, self, *args, **options)
profiler.print_stats()
else:
_handle(self, *args, **options)
def prof_main():
from cProfile import Profile
prof = Profile()
prof.enable()
fish = factory.run_silent_game(player_count=6)
prof.disable()
line_sep_char = '#'
win_string = '{1} Winners: {0}'.format(
', '.join(['Player ' + p.name for p in fish.winner]), line_sep_char)
sep = line_sep_char * len(win_string)
print('\n{0}\n{1}\n{0}'.format(sep, win_string))
prof.print_stats()
return fish
def prof_main():
from cProfile import Profile
prof = Profile()
prof.enable()
fish = BasicGoFish(build_players())
fish.do_full_round()
prof.disable()
line_sep_char = '#'
win_string = '{1} Winners: {0}'.format(
', '.join(['Player ' + p.name for p in fish.winner]), line_sep_char)
sep = line_sep_char * len(win_string)
print('\n{0}\n{1}\n{0}'.format(sep, win_string))
prof.print_stats()
return fish
def handle(self, *args, **options):
"""
Main function, called by django.
"""
def _handle(self, *args, **options):
"""
Main program. Separated from `handle` to enable Python profiling.
"""
def set_command_line_options():
"""
Store command line options in `self.options`.
"""
cmd_options = ["destination", "min", "max"]
for cmd_option in cmd_options:
if options[cmd_option]:
self.options[cmd_option] = str(options[cmd_option])
def validate_command_line_options():
"""
Validate the command line options.
"""
if not self.options["destination"]:
raise CommandError("Please specify --destination")
if not self.options["min"]:
raise CommandError("Please specify --min")
if not self.options["max"]:
raise CommandError("Please specify --max")
if not os.path.exists(self.options["destination"]):
os.makedirs(self.options["destination"])
set_command_line_options()
validate_command_line_options()
self.export_data()
if options["profile"]:
profiler = Profile()
profiler.runcall(_handle, self, *args, **options)
profiler.print_stats()
profiler.dump_stats("profile.txt")
else:
_handle(self, *args, **options)
def handle(self, *args, **options):
"""
Main function, called by django.
"""
def _handle(self, *args, **options):
"""
Main program. Separated from `handle` to enable Python profiling.
"""
def set_command_line_options():
"""
Store the command line options in the corresponding `self` variables.
"""
cmd_options = ['bedToBigBed', 'destination', 'format', 'test']
for cmd_option in cmd_options:
if options[cmd_option]:
self.options[cmd_option] = options[cmd_option]
def validate_command_line_options():
"""
Validate the command line options.
"""
if not self.options['destination']:
raise CommandError('Please specify the --destination option')
if not os.path.exists(self.options['destination']):
os.makedirs(self.options['destination'])
if not self.options['bedToBigBed'] and (options['format'] == 'bed' or options['format'] == 'all'):
raise CommandError('Please specify the --bedToBigBed option')
if not self.options['format']:
raise CommandError('Please specify the --format option')
if self.options['format'] not in self.formats:
raise CommandError('Please specify correct output format. See --help for details.')
set_command_line_options()
validate_command_line_options()
self.export_factory(mode=self.options['format'])
if options['profile']:
profiler = Profile()
profiler.runcall(_handle, self, *args, **options)
profiler.print_stats()
else:
_handle(self, *args, **options)
def handle(self, *args, **options):
"""
Main function, called by django.
"""
def _handle(self, *args, **options):
"""
Main program. Separated from `handle` to enable Python profiling.
"""
def set_command_line_options():
"""
Store command line options in `self.options`.
"""
cmd_options = ['destination', 'min', 'max']
for cmd_option in cmd_options:
if options[cmd_option]:
self.options[cmd_option] = str(options[cmd_option])
def validate_command_line_options():
"""
Validate the command line options.
"""
if not self.options['destination']:
raise CommandError('Please specify --destination')
if not self.options['min']:
raise CommandError('Please specify --minimum')
if not self.options['max']:
raise CommandError('Please specify --maximum')
if not os.path.exists(self.options['destination']):
os.makedirs(self.options['destination'])
set_command_line_options()
validate_command_line_options()
self.export_data()
if options['profile']:
profiler = Profile()
profiler.runcall(_handle, self, *args, **options)
profiler.print_stats()
profiler.dump_stats('profile.txt')
else:
_handle(self, *args, **options)
def handle(self, *args, **options):
global verbose
log = options['log']
year = options['year']
verbose = options['verbose']
if log:
with open('elo.tsv', 'w', encoding='utf-8') as file:
elo_leaders = TeamLeaderboard.highest_elo_scaled()
row_fmt = "%s\t%s\t%s\t%s"
file.writelines([
(row_fmt % (
rank, str(team).replace("\t", ""), team.elo_scaled, team.elo_sigma)).replace(
'"',
"''")
for rank, team in enumerate(elo_leaders, start=1)
])
# Replace double quotes so we can post it to Gist without Github freaking out
# Replace tab characters because Team 422 has a tab in their name (WHY?!)
# More teams have commas than tabs in their names so just uses .tsv file
elif options['event'] == '':
time_start = clock()
if year == 0:
for yr in SUPPORTED_YEARS[:-1]:
add_all_elo(yr)
soft_reset(yr)
add_all_elo(SUPPORTED_YEARS[-1])
else:
add_all_elo(year)
time_end = clock()
print("-------------")
print("Matches added:\t\t{0}".format(matches_added))
print("Ran in {0} seconds.".format(round(time_end - time_start, 3)))
print("-------------")
else:
# add_event_elo(Event.objects.get(key=options['event']))
from cProfile import Profile
profiler = Profile()
profiler.runcall(add_event_elo, Event.objects.get(key=options['event']))
profiler.print_stats(2)
def profiled_func(*args, **kwargs):
profile = Profile()
result = None
try:
profile.enable()
result = func(*args, **kwargs)
profile.disable()
except catch_exception as exc:
result = exc
finally:
write_dir = profile_dir.format(cwd=getcwd())
if write_profile and path.isdir(write_dir):
write_name = "{}.prof".format(
profile_name.format(
funcname=func.__name__, pid=getpid(),
timestamp=datetime.now().strftime("%Y%m%d_%H%M%S")
))
profile_path = path.join(write_dir, write_name)
profile.dump_stats(profile_path)
else:
profile.print_stats()
return result
def handle(self, *args, **options):
"""
Main function, called by django.
"""
def _handle(self, *args, **options):
"""
Main program. Separated from `handle` to enable Python profiling.
"""
def set_command_line_options():
"""
Store command line options in `self.options`.
"""
cmd_options = ['min', 'max']
for cmd_option in cmd_options:
if options[cmd_option]:
self.options[cmd_option] = str(options[cmd_option])
def validate_command_line_options():
"""
Validate the command line options.
"""
if not self.options['min']:
raise CommandError('Please specify --min')
if not self.options['max']:
raise CommandError('Please specify --max')
set_command_line_options()
validate_command_line_options()
self.run()
if options['profile']:
profiler = Profile()
profiler.runcall(_handle, self, *args, **options)
profiler.print_stats()
profiler.dump_stats('profile.txt')
else:
_handle(self, *args, **options)
return _
funcs = {}
funcs['sin'] = noisy_mapping(np.sin)
funcs['log'] = noisy_mapping(np.log)
funcs['pow1.5'] = noisy_mapping(lambda x: x**(3 / 2))
X = np.arange(0.1, 10, step=0.001)
import pennpaper as pp
from collections import defaultdict
metrics = defaultdict(list)
for i in range(90):
for name, f in funcs.items():
m = pp.Metric(name)
m.add_arrays(X, f(X))
metrics[m.name].append(m)
metrics = [sum(v) for v in metrics.values()]
pp.plot_group(metrics)
pp.plot_group(metrics, smoothen=True)
from cProfile import Profile
p = Profile()
p.runcall(measure)
p.print_stats('cumulative')
assert is_sorted(numbers)
def test_quick():
numbers = [randint(0, 10000) for i in range(max_num)]
quick_sort(numbers, 0, max_num-1)
i = 1
while i < max_num:
assert numbers[i] >= numbers[i-1]
i += 1
def test_all():
numbers = [randint(0, 10000) for i in range(max_num)]
numbers_m = DoubleLinkedList()
numbers_b = DoubleLinkedList()
for i in numbers:
numbers_m.shift(i)
numbers_b.shift(i)
quick_sort(numbers, 0, max_num-1)
merge_sort(numbers_m)
bubble_sort(numbers_b)
if __name__ == '__main__':
prof = Profile()
prof.enable()
test_all()
prof.create_stats()
prof.print_stats('sorting.py', sort="cumulative")
def test_profile():
s = Solution()
assert 0 == s.numberOfBoomerangs(points=[])
assert 2 == s.numberOfBoomerangs(points=[[0, 0], [1, 0], [2, 0]])
points = [[489, 238], [323, 460], [853, 965], [327, 426], [264, 871],
[580, 947], [362, 275], [241, 772], [967, 240], [68, 847],
[825, 703], [922, 898], [769, 217], [23, 160], [472, 802],
[755, 313], [40, 78], [125, 246], [396, 452], [672, 660],
[323, 253], [607, 37], [880, 201], [161, 847], [441, 229],
[46, 266], [284, 320], [516, 53], [889, 539], [565, 713],
[341, 320], [26, 381], [751, 504], [979, 147], [956, 652],
[807, 632], [257, 767], [669, 489], [968, 831], [336, 409],
[60, 734], [27, 697], [54, 543], [750, 944],
[82, 668], [657, 423], [988, 36], [156, 91], [540, 136],
[238, 496], [140, 398], [128, 397], [165, 150], [238, 133],
[981, 926], [894, 393], [660, 921], [90, 66], [464, 193],
[10, 898], [861, 20], [321, 201], [408, 829], [293, 948],
[965, 531], [796, 457], [929, 277], [206, 446], [427, 444],
[931, 760], [370, 825], [153, 30], [98, 244], [449, 914],
[789, 811], [812, 650], [831, 485], [203, 239], [315, 496],
[539, 632], [380, 336], [442, 661], [613, 648], [108, 392],
[93, 391], [152, 815], [217, 305], [198, 667], [901, 647],
[934, 690], [458, 746], [692, 642], [584, 896], [233, 251],
[744, 773], [235, 124], [109, 677], [786, 74], [326, 246],
[466, 771], [989, 618], [586, 558], [923, 136], [226, 177],
[783, 160], [867, 594], [258, 912], [236, 842], [808, 469],
[445, 552], [242, 681], [29, 703], [358, 167], [777, 36],
[765, 595], [807, 754], [213, 746], [313, 489], [882, 539],
[666, 18], [51, 885], [612, 309], [149, 200], [504, 957],
[669, 949], [862, 264], [630, 891], [319, 341], [410, 449],
[377, 175], [44, 537], [929, 610], [635, 242], [99, 869],
[133, 117], [887, 184], [354, 851], [846, 504], [51, 350],
[813, 73], [651, 675], [337, 634], [918, 656], [975, 328],
[105, 704], [503, 502], [241, 785], [112, 876], [27, 211],
[98, 513], [680, 985], [697, 386], [189, 895], [890, 240],
[245, 56], [313, 897], [83, 2], [531, 2], [659, 858], [682, 116],
[562, 538], [618, 804], [323, 730], [32, 702], [293, 482],
[215, 325], [468, 265], [64, 657], [160, 306], [249, 406],
[362, 915], [655, 446], [917, 538], [800, 576], [396, 482],
[45, 310], [20, 15],
[466, 343], [98, 851], [46, 743], [333, 261], [421, 801],
[878, 485], [810, 39], [791, 412], [797, 154], [327, 452],
[600, 244], [342, 400], [173, 90], [234, 570], [400, 255],
[585, 867], [950, 683], [718, 996], [779, 51], [610, 200],
[205, 488], [685, 367], [879, 476], [779, 676], [982, 458],
[128, 934], [703, 822], [686, 228], [912, 921], [798, 313],
[176, 735], [180, 478], [771, 898], [475, 550], [301, 437],
[750, 506], [277, 787], [226, 157], [615, 5], [833, 598],
[816, 314], [532, 519], [136, 219], [99, 49], [492, 249],
[362, 20], [984, 894], [498, 755], [144, 325], [657, 445],
[762, 407], [304, 392], [546, 530], [549, 162], [887, 734],
[760, 703], [48, 644], [574, 537], [215, 673], [938, 707],
[922, 652], [727, 259], [546, 226], [14, 42], [551, 24],
[487, 666], [783, 143], [58, 330], [673, 959], [492, 913],
[693, 604], [616, 94], [248, 191], [631, 816], [216, 569],
[523, 491], [573, 603], [750, 119], [181, 116], [513, 84],
[140, 0], [750, 924], [496, 160], [254, 521], [119, 98],
[434, 165], [702, 51], [259, 302], [594, 242], [118, 810],
[163, 994], [653, 736], [597, 403], [207, 778], [520, 720],
[862, 12], [72, 965], [936, 568], [125, 542], [442, 597],
[640, 876], [762, 694], [279, 373], [997, 225], [967, 467],
[388, 130], [461, 41], [218, 410], [445, 425], [540, 317],
[497, 403], [329, 569], [720, 266], [490, 197], [808, 932],
[146, 801], [160, 260], [495, 440], [633, 844], [17, 600],
[312, 405], [82, 125], [447, 300], [536, 244], [77, 76],
[561, 574], [831, 890], [144, 903], [508, 986], [101, 669],
[918, 599], [470, 78], [860, 965], [870, 845], [810, 888],
[446, 122], [645, 880], [599, 92], [181, 487], [688, 610],
[916, 249], [185, 747], [492, 681], [3, 352], [667, 456],
[21, 937], [55, 491], [15, 915], [457, 238], [761, 267],
[478, 559], [741, 123], [439, 692], [568, 972], [180, 256],
[935, 96], [858, 120], [195, 702], [801, 198], [54, 820],
[654, 76], [757, 62], [567, 772], [977, 376], [362, 90],
[995, 840], [1, 88], [316, 793], [781, 884], [765, 961],
[492, 700], [57, 702], [172, 604], [404, 325], [803, 459],
[145, 809], [887, 902], [871, 454], [27, 201], [183, 741],
[643, 178], [582, 645], [267, 250], [438, 48], [134, 555],
[361, 978], [608, 770], [681, 780], [374, 437], [106, 529],
[896, 603], [339, 135], [858, 562], [590, 885], [115, 125],
[626, 759], [303, 560], [404, 922], [810, 842], [970, 296],
[397, 683], [627, 5], [453, 308], [138, 828], [745, 596],
[709, 994], [199, 48], [129, 57], [963, 71], [294,
78], [196, 273],
[189, 852], [833, 593], [774, 996], [787, 97], [644, 537],
[780, 271], [894, 234], [579, 32], [414, 677], [628, 123],
[23, 180], [524, 504], [589, 487], [576, 884], [917, 124],
[157, 107], [976, 342], [52, 103], [690, 840], [200, 335],
[377, 980], [606, 271], [566, 538], [656, 980], [567, 636],
[456, 590], [168, 980], [94, 758], [819, 22], [994, 88],
[147, 503], [195, 475], [197, 600], [578, 888], [792, 130],
[223, 169], [463, 181], [792, 29], [719, 800], [10, 286],
[789, 466], [228, 957], [798, 323], [715, 617], [697, 61],
[705, 196], [564, 253], [672, 762], [205, 602], [650, 997],
[85, 225], [518, 548], [406, 662], [577, 478], [463, 939],
[116, 252], [757, 345], [561, 555], [20, 277], [524, 717],
[690, 582], [914, 255], [187, 938], [17, 392], [892, 19],
[741, 977], [596, 259], [525, 2], [273, 455], [832, 736],
[394, 949], [340, 504], [294, 902], [59, 314], [531, 936],
[383, 221], [870, 297], [828, 57], [587, 197], [801, 480],
[568, 894], [457, 164], [153, 335], [519, 426], [790, 351],
[515, 536], [652, 207], [40, 946], [461, 452], [612, 344],
[388, 996], [918, 610], [645, 746], [19, 233], [296, 820],
[65, 864], [66, 522], [29, 219], [209, 548], [997, 351],
[251, 864], [888, 904], [72, 928], [202, 885], [732, 815],
[230, 472], [163, 148], [82, 160], [246, 101], [745, 542],
[273, 810], [407, 339]]
profile = Profile()
profile.runcall(s.numberOfBoomerangs, points=points)
profile.print_stats()
print("-" * 32)
profile = Profile()
profile.runcall(s.numberOfBoomerangs2, points=points)
profile.print_stats()
from tic_tac_toe import TicTacToe
from random_ai import RandomAI
from minimax_ai import MinimaxAI
counters = {-1: 0, 0: 0, 1: 0}
n_games = int(1e2)
def run_trials():
for i in range(n_games):
ttt = TicTacToe()
x_ai = MinimaxAI(ttt)
o_ai = RandomAI(ttt)
ttt.o_ai = o_ai
ttt.x_ai = x_ai
result = ttt.loop()
counters[result] += 1
from cProfile import Profile
profiler = Profile()
profiler.runcall(run_trials)
profiler.print_stats('cumulative')
print(
f"stats: out of {n_games} games, x has won {counters[1]} times, o - {counters[-1]} times, and there were "
f"{counters[0]} draws.")
float(len(profiling_get_actions_each_number_returned))
total_planning_phases = len(profiling_get_actions_each_call)
most_frequent_chain = []
root_node = policy
while (not root_node is None):
children = root_node.get_frequently_accessed_children()
if (len(children) > 0):
most_frequent_chain.append(children[0])
root_node = children[0][0]
else:
root_node = None
stdout.write("\n---------------Profiling----------------\n")
stdout.write("Profiler information:\n")
stdout.write("State building profiler:\n")
build_state_profiler.print_stats()
stdout.write("Get actions profiler:\n")
get_actions_profiler.print_stats()
stdout.write("Action selection profiler:\n")
action_select_profiler.print_stats()
stdout.write("Average number of calls to get_action "
"per planning step: %.2f\n" % (average_calls))
stdout.write("Average number of regressions returned "
"per planning step: %.2f\n" % (average_len_reg))
stdout.write("Total number of planning phases: %d\n" %
(total_planning_phases))
stdout.write("Trace of most frequently traversed path:\n")
root_node = policy
for node_tuple in most_frequent_chain:
var_index = root_node.var_index
var_value = node_tuple[1]
def profile_while_timing(statement, setup=Environment, number=5000):
profile = Profile()
profile.enable()
timeit.timeit(statement, setup, number=number)
profile.disable()
profile.print_stats('cumtime')
'''
graph2 = [list(row) for row in nodes_map_raw.split()]
nr = len(graph2)
nc = len(graph2[0])
bdbfs = BiDirBFS(nodes_map_raw)
for i in bdbfs.step():
pass
if bdbfs.path:
for y in xrange(nr):
for x in xrange(nc):
if (x, y) == bdbfs.source:
print 'S',
elif (x, y) == bdbfs.target:
print 'T',
elif (x, y) in bdbfs.path:
print '.',
elif graph2[y][x] == BLOCKED:
print 'X',
else:
print ' ',
print
print 'Route length:', len(bdbfs.path)
else:
print 'Failed to find the path'
if __name__ == '__main__':
from cProfile import Profile
p = Profile()
p.runcall(_test)
p.print_stats(sort = 1)
def profile(call, *args, **kwargs):
profiler = Profile()
profiler.runcall(call, *args, **kwargs)
profiler.print_stats()
ret += i * i + math.sqrt(i)
return ret
def main():
for i in range(100000):
if i % 10000 == 0:
bar()
else:
foo()
if __name__ == '__main__':
prof = Profile()
prof.runcall(main)
prof.print_stats()
#prof.dump_stats('test.prof') # dump profile result to test.prof
'''
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
99990 0.015 0.000 0.062 0.000 python_profiler.py:11(foo)
99990 0.014 0.000 0.048 0.000 python_profiler.py:14(foo1)
99990 0.014 0.000 0.034 0.000 python_profiler.py:17(foo2)
99990 0.014 0.000 0.020 0.000 python_profiler.py:20(foo3)
99990 0.006 0.000 0.006 0.000 python_profiler.py:23(foo4)
10 0.019 0.002 0.027 0.003 python_profiler.py:26(bar)
1 0.017 0.017 0.107 0.107 python_profiler.py:32(main)
100000 0.009 0.000 0.009 0.000 {built-in method math.sqrt}
1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
a = AStar(nodes_map_raw)
for i in a.step():
pass
path = a.path
start = a.source
end = a.target
if path:
for y in xrange(nr):
for x in xrange(nc):
if (x, y) == start:
print 'S',
elif (x, y) == end:
print 'T',
elif (x, y) in path:
print '.',
elif graph2[y][x] == BLOCKED:
print 'X',
else:
print ' ',
print
print 'Route length:', len(path)
else:
print 'Failed to find the path'
if __name__ == '__main__':
from cProfile import Profile
p = Profile()
p.runcall(_test)
p.print_stats(sort=1)
def main():
with open("CTRL", mode="r") as fp:
site_t = None
class_t = None
plat_n = 0
for line in fp:
word = line.split()
if word[0] == "STRUC":
for w in word:
worde = w.split("=")
if worde[0] == "ALAT":
alat = float(worde[1])
plat_n = 4
if word[0] == "DIM":
for w in word:
worde = w.split("=")
if worde[0] == "NBAS":
nbas = int(worde[1])
if worde[0] == "NCLASS":
nclass = int(worde[1])
# print(alat,nbas)
if plat_n == 3:
Plat = np.zeros((3, 3))
if len(word) == 3:
worde = word[0].split("=")
Plat[0][0] = float(worde[1])
Plat[0][1] = float(word[1])
Plat[0][2] = float(word[2])
else:
Plat[0][0] = float(word[1])
Plat[0][1] = float(word[2])
Plat[0][2] = float(word[3])
elif plat_n == 2:
Plat[1][0] = float(word[0])
Plat[1][1] = float(word[1])
Plat[1][2] = float(word[2])
elif plat_n == 1:
Plat[2][0] = float(word[0])
Plat[2][1] = float(word[1])
Plat[2][2] = float(word[2])
plat_n -= 1
if word[0] == "CLASS":
class_t = True
class_n = nclass
allclass_ctrl = []
if class_t:
if len(word) < 5:
continue
if class_n == nclass:
if word[2] == "Z=":
class_ctrl = Class_ctrl(word[1].split("=")[1], word[3],
word[4].split("=")[1])
else:
class_ctrl = Class_ctrl(word[1].split("=")[1],
word[2].split("=")[1],
word[3].split("=")[1])
allclass_ctrl.append(class_ctrl)
else:
if word[1] == "Z=":
class_ctrl = Class_ctrl(word[0].split("=")[1], word[2],
word[3].split("=")[1])
else:
class_ctrl = Class_ctrl(word[0].split("=")[1],
word[1].split("=")[1],
word[2].split("=")[1])
allclass_ctrl.append(class_ctrl)
class_n -= 1
if class_n == 0:
class_t = False
if word[0] == "SITE":
site_t = True
site_n = nbas
allatom = []
if site_t:
if site_n == nbas:
atom = Atom()
for w in word:
worde = w.split("=")
if worde[0] == "ATOM":
atom.name = worde[1]
if len(word) == 5:
worde = word[2].split("=")
atom.pos = np.array(
[float(worde[1]),
float(word[3]),
float(word[4])])
elif len(word) == 6:
atom.pos = np.array(
[float(word[3]),
float(word[4]),
float(word[5])])
else:
print("error")
sys.exit()
allatom.append(atom)
else:
atom = Atom()
atom.name = (word[0].split("=")[1])
if len(word) == 4:
worde = word[1].split("=")
atom.pos = np.array(
[float(worde[1]),
float(word[2]),
float(word[3])])
elif len(word) == 5:
atom.pos = np.array(
[float(word[2]),
float(word[3]),
float(word[4])])
else:
print("error")
sys.exit()
allatom.append(atom)
site_n -= 1
if site_n == 0:
site_t = False
if site_t == False:
break
for i in allatom:
i.ctrltuika(allclass_ctrl)
for i in range(len(allatom)):
print(allatom[i].name, allatom[i].ze, allatom[i].rad, allatom[i].pos)
# print(Plat)
# sys.exit()
# Pos_np=np.array(Pos)
# print(Atom)
# print(Pos_np)
# Plat=Plat*alat*BOHR
# Pos_np=Pos_np*alat*BOHR
# print(Pos_np)
print("which is center ?(Atomname or Coordinate)")
centeratom = input().split()
c = 0
origincart = np.array([0., 0., 0.])
if len(centeratom) == 1:
for i in range(nbas):
if centeratom == allatom[i].name:
c = i
break
origincart = allatom[c].pos
elif len(centeratom) == 3:
for i in range(3):
origincart[i] = float(centeratom[i])
else:
print("error")
sys.exit()
print("How is clustersize ? (please input cluster radius)")
clradius = float(input())
with open("cluster.in", mode="w") as clin:
for i in range(3):
clin.write(str("{:>11}".format("{:.8f}".format(Plat[i][0]))))
clin.write(str("{:>11}".format("{:.8f}".format(Plat[i][1]))))
clin.write(str("{:>11}".format("{:.8f}".format(Plat[i][2]))))
clin.write("\n")
clin.write(" 0 0 0\n")
clin.write(str("{:>12}".format("{:.8f}".format(allatom[c].pos[0]))))
clin.write(str("{:>12}".format("{:.8f}".format(allatom[c].pos[1]))))
clin.write(str("{:>12}".format("{:.8f}".format(allatom[c].pos[2]))))
clin.write("\n")
clin.write(" " + str(nbas) + "\n")
for i in range(nbas):
clin.write(str("{:>3}".format(allatom[i].name)))
clin.write(str("{:>12}".format("{:.8f}".format(
allatom[i].pos[0]))))
clin.write(str("{:>12}".format("{:.8f}".format(
allatom[i].pos[1]))))
clin.write(str("{:>12}".format("{:.8f}".format(
allatom[i].pos[2]))))
clin.write("\n")
clin.write(str("{:.4f}".format(alat * BOHR)) + "\n")
for i in range(3):
clin.write(str(clradius) + "\n")
sys.exit()
cutoff = clradius
i0max = int(cutoff * FACTOR / np.sqrt(np.sum(Plat[0]**2)))
i1max = int(cutoff * FACTOR / np.sqrt(np.sum(Plat[1]**2)))
i2max = int(cutoff * FACTOR / np.sqrt(np.sum(Plat[2]**2)))
clusteratom = []
y = np.array([0., 0., 0.])
n = 0
pr = Profile()
pr.enable()
t1 = time.time()
for i0 in range(-i0max, i0max + 1):
for i1 in range(-i1max, i1max + 1):
for i2 in range(-i2max, i2max + 1):
for k in range(nbas):
y = i0 * Plat[0] + i1 * Plat[1] + i2 * Plat[2] + allatom[
k].pos - origincart
y *= alat * BOHR
if np.sqrt(sum(y**2)) < clradius:
atom = Atom()
atom.name = allatom[k].name
atom.ze = allatom[k].ze
atom.pos = copy.deepcopy(y)
clusteratom.append(atom)
n += 1
print(n)
t2 = time.time()
print(t2 - t1)
sys.exit()
pr.disable()
pr.print_stats()
sys.exit()
for i in range(len(clusteratom)):
print(clusteratom[i].name, clusteratom[i].ze, clusteratom[i].pos)