def main():
parser = create_parser()
args = parser.parse_args()
try:
files = get_files(args)
except Exception as e:
print("Ошибка: " + str(e), file=sys.stderr)
exit(-1)
if args.count or args.count_total:
check_files(files, args.recursive)
tags = count_tags(files)
if args.json_output:
result = {}
else:
result = ''
if args.count_total:
if args.json_output:
result['total'] = len(tags)
else:
result += 'Различных тегов: %i\n' % len(tags)
if args.count:
if args.json_output:
result['tags'] = tags
else:
sorted_tags = [ (tag, count) for tag, count in tags.items() ]
sorted_tags.sort(key=lambda x: x[1], reverse=True)
for tag, count in sorted_tags:
result += '%s: %i\n' % (tag, count)
if args.json_output:
print(re.sub(r"'", r'"', str(result)))
else:
print(result)
elif args.map:
try:
tagmap = read_tagmap(args.map)
except Exception as e:
print("Ошибка: " + str(e), file=sys.stderr)
exit(-1)
check_files(files, args.recursive)
replace_tags(files, tagmap)
else:
print('Укажите действие')
exit(-1)
def blame (filename, args):
repo, uri, out, opts = args
filename = filename.strip (' \n')
if filename[-1] == '/':
return
p = create_parser (repo.get_type (), filename)
p.set_output_device (out)
def feed (line, p):
p.feed (line)
wid = repo.add_watch (BLAME, feed, p)
try:
repo.blame (os.path.join (uri, filename),
rev = opts.revision,
mc = not opts.fast)
except RepositoryCommandError, e:
printerr ("Error getting blame information of path '%s': %s", (filename, e.error))
def blame(filename, args):
repo, uri, out, opts = args
filename = filename.strip(' \n')
if filename[-1] == '/':
return
p = create_parser(repo.get_type(), filename)
p.set_output_device(out)
def feed(line, p):
p.feed(line)
wid = repo.add_watch(BLAME, feed, p)
try:
repo.blame(os.path.join(uri, filename),
rev=opts.revision,
mc=not opts.fast,
ignore_whitespaces=True)
except RepositoryCommandError, e:
printerr("Error getting blame information of path '%s': %s",
(filename, e.error))
def main():
args = create_parser()
if args.seed is not None:
random.seed(args.seed)
torch.manual_seed(args.seed)
cudnn.deterministic = True
warnings.warn('You have chosen to seed training. '
'This will turn on the CUDNN deterministic setting, '
'which can slow down your training considerably! '
'You may see unexpected behavior when restarting '
'from checkpoints.')
if args.gpu is not None:
warnings.warn('You have chosen a specific GPU. This will completely '
'disable data parallelism.')
if args.dist_url == "env://" and args.world_size == -1:
args.world_size = int(os.environ["WORLD_SIZE"])
args.distributed = args.world_size > 1 or args.multiprocessing_distributed
args.num_cluster = args.num_cluster.split(',')
if not os.path.exists(args.exp_dir):
os.mkdir(args.exp_dir)
ngpus_per_node = torch.cuda.device_count()
if args.multiprocessing_distributed:
# Since we have ngpus_per_node processes per node, the total world_size
# needs to be adjusted accordingly
args.world_size = ngpus_per_node * args.world_size
# Use torch.multiprocessing.spawn to launch distributed processes: the
# main_worker process function
mp.spawn(main_worker, nprocs=ngpus_per_node, args=(ngpus_per_node, args))
else:
# Simply call main_worker function
main_worker(args.gpu, ngpus_per_node, args)
def main():
parser = create_parser()
args = parser.parse_args()
args.func(args)
printerr("Unknown error creating repository for path %s (%s)",
(path, str(e)))
return 1
uri = repo.get_uri_for_path(path)
else:
uri = uri.strip('/')
repo = create_repository('svn', uri)
# Check uri actually points to a valid svn repo
if repo.get_last_revision(uri) is None:
printerr("URI %s doesn't seem to point to a valid svn repository",
(uri, ))
return 1
# Check we have a parser for the given repo
try:
p = create_parser(repo.get_type(), 'foo')
except ParserUnknownError:
printerr("%s repositories are not supported by guilty (yet)",
(repo.get_type(), ))
return 1
except Exception, e:
printerr("Unknown error creating parser for repository %s (%s)",
(repo.get_uri(), str(e)))
return 1
del p
try:
out = create_output_device(config.output)
except OutputDeviceUnknownError:
printerr("Output type %s is not supported by guilty",
(config.output, ))
def main():
parser = create_parser()
db = Calendoola()
argcomplete.autocomplete(parser)
namespace = parser.parse_args()
try:
db.cfg.get_field('current_user')
except configparser.NoOptionError:
db.cfg.add_field('current_user')
#######################################
if namespace.target == 'user':
if namespace.command == 'add':
co.operation_user_add(db, namespace.nickname, namespace.force)
elif namespace.command == 'login':
co.operation_user_login(namespace.nickname, db)
elif namespace.command == 'logout':
co.operation_user_logout(db)
elif namespace.command == 'remove':
co.operation_user_remove(db, namespace.nickname)
elif namespace.command == 'info':
co.operation_user_info(db)
return
#######################################
try:
db.cfg.get_field('current_user')
except django_ex.ObjectDoesNotExist:
print('You did not sign in. Please login')
return
#######################################
if namespace.target == 'task':
if namespace.command == 'add':
co.operation_task_add(db, namespace.description,
namespace.priority, namespace.deadline,
namespace.tags, namespace.subtask)
elif namespace.command == 'remove':
co.operation_task_remove(db, namespace.id)
elif namespace.command == 'show':
co.operation_task_show(db, namespace.to_show, namespace.selected,
namespace.colored)
elif namespace.command == 'finish':
co.operation_task_finish(db, namespace.id)
elif namespace.command == 'move':
co.operation_task_move(db, namespace.id_from, namespace.id_to)
elif namespace.command == 'change':
co.operation_task_change(db, namespace.id, namespace.info,
namespace.deadline, namespace.priority,
namespace.status, namespace.append_tags,
namespace.remove_tags)
elif namespace.command == 'share':
co.operation_task_share(db, namespace.id_from,
namespace.nickname_to)
elif namespace.command == 'restore':
co.operation_task_restore(db, namespace.id)
elif namespace.command == 'unshare':
co.operation_task_unshare(db, namespace.id)
#######################################
elif namespace.target == 'calendar':
co.operation_calendar_show(
db.get_tasks(db.cfg.get_field('current_user')), namespace.date[0],
namespace.date[1])
#######################################
elif namespace.target == 'plan':
if namespace.command == 'add':
co.operation_plan_add(db, namespace.description,
namespace.period_type,
namespace.period_value, namespace.time)
elif namespace.command == 'show':
co.operation_plan_show(db, namespace.id, namespace.colored)
elif namespace.command == 'remove':
co.operation_plan_remove(db, namespace.id)
elif namespace.command == 'change':
co.operation_plan_change(db, namespace.id, namespace.info,
namespace.period_type,
namespace.period_value, namespace.time)
elif namespace.target == 'reminder':
if namespace.command == 'add':
co.operation_reminder_add(db, namespace.remind_type,
namespace.remind_value)
elif namespace.command == 'remove':
co.operation_reminder_remove(db, namespace.id)
elif namespace.command == 'apply':
co.operation_reminder_apply_task(db, namespace.reminder_id,
namespace.task_id)
elif namespace.command == 'detach':
co.operation_reminder_detach_task(db, namespace.reminder_id,
namespace.task_id)
elif namespace.command == 'show':
co.operation_reminder_show(db, namespace.id)
elif namespace.command == 'change':
co.operation_reminder_change(db, namespace.id,
namespace.remind_type,
namespace.remind_value)
co.check_instances(db)
import json, sys
from pathlib import Path
# I have to use `# type: ignore` so I don't get errors that these imports don't work.
from helpers import error_message, getDataFolder, check_if_use_saved_directory, check_for_duplicates, set_default_directory, default_directory_exists, str2bool, dir_exists # type: ignore
from parser import argc_allowed, create_parser, usage # type: ignore
__doc__ = "Usage:\n" + usage
argc_allowed()
args = create_parser().parse_args()
if args.command == 'add':
if args.directory == None and not default_directory_exists():
error_message(
'Cannot use default directory if default directory not set', 3)
target = args.target
directory = check_if_use_saved_directory(args.directory)
check_for_duplicates(target)
if not Path(directory).is_dir(): # Checks if directory not found
error_message("Directory not found (may be a file)", 1)
create_new = "not bool"
while create_new == "not bool":
create_new = str2bool(input(f"Create new directory {directory}: "))
if create_new:
np.random.seed(0)
torch.manual_seed(0)
torch.cuda.manual_seed_all(0)
torch.set_default_tensor_type(torch.FloatTensor)
TORCH_VERSION = torch.__version__
TORCH_CUDA_VERSION = torch.version.cuda
CUDNN_VERSION = str(cudnn.version())
DEVICE_NAME = torch.cuda.get_device_name()
# cudnn.benchmark = True
cudnn.deterministic = True
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
parser = create_parser()
dataset_name = 'Cityscapes'
ckpt_name = 'Semantic_Segmentation_Cityscapes_27.pth.tar'
def evaluation(model, dataloader):
# result dir
result_dir = parser.result_dir
# label dir
label_file = os.path.join(parser.list_dir, 'info.json')
# label mapping
with open(label_file, 'r') as fp:
info = json.load(fp)
label_map = {}
label = info["label"]
from typecheck import TypeChecker
from irgen import IRGen
from ast import ASTError
from main import all_phases
pkg_resources.require('ply')
pkg_resources.require('llvmlite==0.21.*')
pkg_resources.require('termcolor')
tests_dir = 'test'
fennec_ext = '.fc'
alignment = 60
root_path = os.path.dirname(os.path.abspath(__file__))
tests_path = root_path + '/' + tests_dir
parser = create_parser(debug=True)
class TestCase:
default_timeout = 3.0 # in seconds, overwriteable with envvar TIMEOUT
def __init__(self, path, phase, test_type, basename):
self.path = path
self.phase = phase
self.test_type = test_type
self.basename = basename
self.ferr = StringIO()
self.generated_files = []
def run(self):
showpath = self.path + ':'
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data as data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
from gumi.ops import *
from gumi import models
from gumi import model_utils
from gumi.pruning import mask_utils
import cifar_utils
from parser import create_parser
parser = create_parser(prog='Generate an optimised group configuration.')
args = parser.parse_args()
# CUDA
os.environ['CUDA_VISIBLE_DEVICES'] = args.gpu_id
use_cuda = torch.cuda.is_available()
cudnn.benchmark = True
def factors(n):
"""
Copied from - https://stackoverflow.com/questions/6800193/what-is-the-most-efficient-way-of-finding-all-the-factors-of-a-number-in-python
"""
return set(
functools.reduce(
list.__add__,
logging.getLogger().setLevel(logging.DEBUG)
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data as data
import torchvision.transforms as transforms
import torchvision.datasets as datasets
from parser import create_parser
from group_exporter import GroupExporter
parser = create_parser(prog="Export from a mask based model to a grouped one.")
args = parser.parse_args()
# CUDA
os.environ["CUDA_VISIBLE_DEVICES"] = args.gpu_id
use_cuda = torch.cuda.is_available()
cudnn.benchmark = True
def main():
exporter = GroupExporter(args)
exporter.export()
if __name__ == "__main__":
main()
return 1
except Exception, e:
printerr ("Unknown error creating repository for path %s (%s)", (path, str (e)))
return 1
uri = repo.get_uri_for_path (path)
else:
uri = uri.strip ('/')
repo = create_repository ('svn', uri)
# Check uri actually points to a valid svn repo
if repo.get_last_revision (uri) is None:
printerr ("URI %s doesn't seem to point to a valid svn repository", (uri,))
return 1
# Check we have a parser for the given repo
try:
p = create_parser (repo.get_type (), 'foo')
except ParserUnknownError:
printerr ("%s repositories are not supported by guilty (yet)", (repo.get_type (),))
return 1
except Exception, e:
printerr ("Unknown error creating parser for repository %s (%s)", (repo.get_uri (), str (e)))
return 1
del p
try:
out = create_output_device (config.output)
except OutputDeviceUnknownError:
printerr ("Output type %s is not supported by guilty", (config.output,))
return 1
except OutputDeviceError, e:
printerr (str(e))
def main():
parser = create_parser()
args = parser.parse_args()
trans_savnet_main(args)
def main():
parser = create_parser()
args = parser.parse_args()
savnet_main(args)
def main():
parser = create_parser()
args = parser.parse_args()
run(args)
