def main():
swarm = Swarm(config.ALPHA, config.ABSORPTION)
update_brightness(swarm.fireflies)
swarm.update_attractiveness()
utils.description(swarm.fireflies)
swarm.__str__()
t = 0
while t < config.MAX_GENERATION:
for i, firefly in enumerate(swarm.fireflies):
other_firefly = swarm.most_attractive[i]
if other_firefly is not firefly and other_firefly.attractiveness > firefly.attractiveness:
swarm.move(firefly, other_firefly)
elif other_firefly.attractiveness == firefly.attractiveness:
swarm.move_randomly(other_firefly)
update_brightness(swarm.fireflies)
swarm.update_attractiveness()
t += 1
print()
swarm.__str__()
def main():
setup(
name = 'veusz_plugins',
version = get_version('veusz_plugins/__init__.py'),
description = 'A collection of miscellaneous plugins for the veusz graphing application',
long_description = description('README.rst'),
author = 'Dave Hughes',
author_email = '*****@*****.**',
url = 'https://github.com/waveform80/veusz_plugins',
packages = find_packages(exclude=['distribute_setup', 'utils']),
install_requires = ['xlrd'],
platforms = 'ALL',
zip_safe = False,
classifiers = classifiers
)
def main():
setup(
name='samplesdb',
version=get_version(os.path.join(HERE, 'samplesdb/__init__.py')),
description='samplesdb',
long_description=description(os.path.join(HERE, 'README.rst')),
classifiers=CLASSIFIERS,
author='Dave Hughes',
author_email='*****@*****.**',
url='https://github.com/waveform80/samplesdb',
keywords='science samples database',
packages=find_packages(exclude=['distribute_setup', 'utils']),
include_package_data=True,
platforms='ALL',
install_requires=REQUIRES,
extras_require={},
zip_safe=False,
test_suite='nose.collector',
entry_points=ENTRY_POINTS,
)
def main():
setup(
name = NAME,
version = get_version(os.path.join(HERE, NAME, '__init__.py')),
description = DESCRIPTION,
long_description = description(os.path.join(HERE, 'README.rst')),
classifiers = CLASSIFIERS,
author = AUTHOR,
author_email = AUTHOR_EMAIL,
url = URL,
keywords = ' '.join(KEYWORDS),
packages = PACKAGES,
package_data = PACKAGE_DATA,
platforms = 'ALL',
install_requires = REQUIRES,
extras_require = EXTRA_REQUIRES,
zip_safe = True,
test_suite = NAME,
entry_points = ENTRY_POINTS,
)
def main():
setup(
name = 'samplesdb',
version = get_version(os.path.join(HERE, 'samplesdb/__init__.py')),
description = 'samplesdb',
long_description = description(os.path.join(HERE, 'README.rst')),
classifiers = CLASSIFIERS,
author = 'Dave Hughes',
author_email = '*****@*****.**',
url = 'https://github.com/waveform80/samplesdb',
keywords = 'science samples database',
packages = find_packages(exclude=['distribute_setup', 'utils']),
include_package_data = True,
platforms = 'ALL',
install_requires = REQUIRES,
extras_require = {},
zip_safe = False,
test_suite = 'nose.collector',
entry_points = ENTRY_POINTS,
)
def main():
setup(
name = 'dbsuite',
version = get_version(os.path.join(HERE, 'dbsuite/__init__.py')),
description = 'A suite of tools for maintenance of information warehouses',
long_description = description(os.path.join(HERE, 'README.rst')),
classifiers = CLASSIFIERS,
author = 'Dave Hughes',
author_email = '*****@*****.**',
url = 'http://www.waveform.org.uk/trac/dbsuite/',
keywords = 'database documentation',
packages = find_packages(exclude=['distribute_setup', 'utils']),
include_package_data = True,
platforms = 'ALL',
install_requires = REQUIRES,
extras_require = EXTRA_REQUIRES,
zip_safe = False,
test_suite = 'dbsuite',
entry_points = ENTRY_POINTS,
)
def main():
setup(
name='dbsuite',
version=get_version(os.path.join(HERE, 'dbsuite/__init__.py')),
description=
'A suite of tools for maintenance of information warehouses',
long_description=description(os.path.join(HERE, 'README.rst')),
classifiers=CLASSIFIERS,
author='Dave Hughes',
author_email='*****@*****.**',
url='http://www.waveform.org.uk/trac/dbsuite/',
keywords='database documentation',
packages=find_packages(exclude=['distribute_setup', 'utils']),
include_package_data=True,
platforms='ALL',
install_requires=REQUIRES,
extras_require=EXTRA_REQUIRES,
zip_safe=False,
test_suite='dbsuite',
entry_points=ENTRY_POINTS,
)
'Topic :: Education',
'Topic :: Scientific/Engineering :: Atmospheric Science',
]
ENTRY_POINTS = """\
[paste.app_factory]
main = weather:main
"""
HERE = os.path.abspath(os.path.dirname(__file__))
setup(
name = 'weather',
version = get_version(os.path.join(HERE, 'weather', '__init__.py')),
description = 'A web-based weather related education suite',
long_description = description(os.path.join(HERE, 'README.rst')),
classifiers = CLASSIFIERS,
author = 'Dave Hughes',
author_email = '*****@*****.**',
url = 'http://www.waveform.org.uk/trac/weather/',
keywords = 'weather climate web pyramid pylons',
packages = find_packages(exclude=['distribute_setup', 'utils']),
include_package_data = True,
zip_safe = False,
install_requires = REQUIRES,
tests_require = REQUIRES,
test_suite = 'weather',
entry_points = ENTRY_POINTS,
)
"Programming Language :: Python :: 2.7",
"Topic :: Education",
"Topic :: Scientific/Engineering :: Atmospheric Science",
]
ENTRY_POINTS = """\
[paste.app_factory]
main = weather:main
"""
HERE = os.path.abspath(os.path.dirname(__file__))
setup(
name="weather",
version=get_version(os.path.join(HERE, "weather", "__init__.py")),
description="A web-based weather related education suite",
long_description=description(os.path.join(HERE, "README.rst")),
classifiers=CLASSIFIERS,
author="Dave Hughes",
author_email="*****@*****.**",
url="http://www.waveform.org.uk/trac/weather/",
keywords="weather climate web pyramid pylons",
packages=find_packages(exclude=["distribute_setup", "utils"]),
include_package_data=True,
zip_safe=False,
install_requires=REQUIRES,
tests_require=REQUIRES,
test_suite="weather",
entry_points=ENTRY_POINTS,
)
save_path = args.save_path
batch_size = 64
num_steps = 15000
epsilon = 0.5
M = 0.1
num_test_steps = 5000
valid_steps = 100
datasets = dataloader.load_datasets(data_path, {
args.source: 1,
args.target: 1
})
# datasets = dataloader.normalize_dataset(datasets)
sources = {args.source: 1}
targets = {args.target: 1}
description = utils.description(sources, targets)
source_train, source_valid, source_test, target_train, target_valid, target_test = dataloader.source_target(
datasets, sources, targets, unify_source=True)
options = {}
options['sample_shape'] = (28, 28, 3)
options['num_domains'] = 2
options['num_targets'] = 1
options['num_labels'] = 10
options['batch_size'] = batch_size
options['G_iter'] = 1
options['D_iter'] = 1
options['ef_dim'] = 32
options['latent_dim'] = 128
options['t_idx'] = np.argmax(target_test['domains'][0])
options['source_num'] = batch_size
