def __init__(self, image_size):
self.generator_g = Generator().cuda()
self.generator_f = Generator().cuda()
self.discriminator_c = Discriminator(image_size,
num_input_channels=3).cuda()
self.discriminator_t = Discriminator(image_size,
num_input_channels=1).cuda()
self.content_criterion = ContentLoss().cuda()
self.tv_criterion = TVLoss().cuda()
self.color_criterion = nn.BCEWithLogitsLoss().cuda()
self.texture_criterion = nn.BCEWithLogitsLoss().cuda()
betas = (0.5, 0.999)
self.g_optimizer = optim.Adam(lr=1e-4,
params=self.generator_g.parameters(),
betas=betas)
self.f_optimizer = optim.Adam(lr=1e-4,
params=self.generator_f.parameters(),
betas=betas)
self.c_optimizer = optim.Adam(lr=4e-4,
params=self.discriminator_c.parameters(),
betas=betas)
self.t_optimizer = optim.Adam(lr=4e-4,
params=self.discriminator_t.parameters(),
betas=betas)
self.blur = GaussianBlur().cuda()
self.gray = Grayscale().cuda()
def draw(self, ax, time=None, cycles=1, **kwargs):
"""Draws the signals wave shape"""
#if time is not provided draw the wave shape 'cycles' times
if time is None:
time = cycles / np.float64(self.freq)
try:
kwargs['density'] *= cycles
except KeyError:
kwargs['density'] = 100 * cycles
Generator.draw(self, ax, time, **kwargs)
def wikenheiser2015_lookahead(goal_no,
start,
alpha,
tau,
goal_weight=20.,
goal_absorb=True,
backmove=False,
opt_policy_weight=0.9,
sigma=0.5,
n_samp=n_samp,
n_step=n_step):
ENVlh = CircularTrack(n_state=n_state_circ,
start=start,
goal_no=goal_no,
goal_weight=goal_weight,
goal_absorb=goal_absorb,
backmove=backmove,
opt_policy_weight=opt_policy_weight)
GENlh = Generator(ENV=ENVlh, symmetrize=symmetrize, jump_rate=jump_rate)
PROPlh = Propagator(GEN=GENlh, sigma=sigma, tau=tau, alpha=alpha)
EXPlh = Explorer(PROP=PROPlh, rho_init=start, no_dwell=no_dwell)
EXPlh.sample_sequences(n_samp=n_samp, n_step=n_step)
EXPlh.traj_width = 0
EXPlh.start_pos = True
EXPlh.state_msize = state_msize
return EXPlh, PROPlh, GENlh, ENVlh
def main():
import numpy as np
options = parse_options()
os.makedirs(options.dir, exist_ok=True)
config_logger(options.dir)
with open(options.config, 'r') as stream:
try:
opt = yaml.safe_load(stream)
except yaml.YAMLError as exc:
print(exc)
logging.exception(exc)
exit(1)
gt_dir = f"{options.dir}/original"
data_dir = f"{options.dir}/spoiled"
export_dir = f"{options.dir}/export"
os.makedirs(data_dir, exist_ok=True)
os.makedirs(gt_dir, exist_ok=True)
os.makedirs(export_dir, exist_ok=True)
seed = opt.get('seed', None)
if not seed:
seed = random.randint(0, 2**32 - 1)
opt['seed'] = seed
opt['n_workers'] = options.workers
logging.info(f"Starting generation with seed {seed} ")
n_workers = opt.get('n_workers', None)
n_workers = n_workers or options.workers # ensure determinism
filler = [None for _ in range(n_workers - (options.size % n_workers))]
vals = np.concatenate([np.arange(options.size),
filler]).reshape(-1, n_workers).transpose()
vals = [[
f'{options.out_name}_{val:04}' for val in values if val is not None
] for values in vals]
processes = []
random.seed(seed)
pbar = ProgressBar(options.size)
def update_pbar(item):
pbar.update(f"Generated {item}")
for i in range(n_workers):
seed = random.randint(0, 2**32 - 1)
generator = Generator(opt)
spoiler = Spoiler()
exporters = from_options(opt, export_dir)
visitors = [spoiler] + exporters
p = Process(target=gen_image_pool,
args=(generator, visitors, vals[i], options, seed,
update_pbar))
p.start()
processes.append(p)
for p in processes:
p.join()
with open(f"{options.dir}/config.yml", 'w') as f:
yaml.dump(opt, f)
def photos_generator():
images_info_loader = l.CSVLoader('data/images_train.csv',
'data/images_test.csv')
preprocessor = l.Preprocessor()
preprocessor.with_pipeline('photo_stats').set_loader(
images_info_loader.select_loader(['width', 'height', 'sharpness']))
preprocessor.add_operation(l.LogTransform(['sharpness'
])).add_operation(l.ToNdarray())
preprocessor.add_operation(preprocessing.StandardScaler())
preprocessor.with_pipeline('images_origin').set_loader(
images_info_loader.select_loader(['listing_id']), only_train=True)
merger = l.PandasColumnMerger(['images_origin', 'interest_level'],
on='listing_id',
how='left')
preprocessor.set_consumer(merger)
preprocessor.with_pipeline('interest_level').set_loader(
l.JSONLoader().select_loader(['listing_id', 'interest_level']),
only_train=True)
preprocessor.set_consumer(merger)
preprocessor.with_pipeline('response').set_loader(
merger, only_train=True).add_operation(l.Selector('interest_level'))
preprocessor.add_operation(
l.Dummifier(output_cols=['high', 'medium', 'low'])).add_operation(
l.ToNdarray())
preprocessor.with_pipeline('photo').set_loader(
images_info_loader.select_loader(['listing_id', 'photo_name']))
generator = Generator(preprocessor, {'photo': l.PhotoLoaderGenerator()},
l.SeparateKey('response'))
return generator
def __init__(self, src_vocab_size, trg_vocab_size, embed_size, hidden_size,
dropout_p, src_emb_vectors, trg_emb_vectors):
super(Seq2Seq, self).__init__()
self.encoder = Encoder(src_vocab_size, embed_size, hidden_size,
dropout_p, src_emb_vectors)
self.decoder = Decoder(trg_vocab_size, embed_size, hidden_size,
dropout_p, trg_emb_vectors)
self.generator = Generator(trg_vocab_size, hidden_size, dropout_p)
def draw(self, ax, time=1.0, **kwargs): """ Draws the shape of the output signal along with its input The shape will be drawn for 'cycles' cycles of the input """ #draw the amplifiers output Generator.draw(self, ax, time, **kwargs) try: kwargs['alpha'] *= 0.5 except KeyError: kwargs['alpha'] = 0.5 #draw the amplifiers input self.input.draw(ax, time, **kwargs)
class GeneratorTest(unittest.TestCase):
generator = Generator(TestSiteParser())
def test_write_xml(self):
out = StringIO.StringIO()
self.generator.write_xml(out)
self.assertIsNotNone(out.getvalue())
def test_rfc2822time_generator(self):
dt = datetime.fromtimestamp(1505237983)
self.assertEqual("Tue, 12 Sep 2017 17:39:43 -0000", rfc2822time(dt))
def draw(self, ax, time=1.0, **kwargs):
"""
Draws the shape of the output signal along with its
inputs
"""
#draw the output signal
Generator.draw(self, ax, time, **kwargs)
#draw inputs' output signals
for i in range(len(self.inputs)):
try:
kwargs['alpha'] *= 0.5
except KeyError:
kwargs['alpha'] = 0.5
try:
kwargs['scale'] *= self.levels[i]
except KeyError:
kwargs['scale'] = self.levels[i]
self.inputs[i].draw(ax, time, **kwargs)
def circulartrack_lookahead(start,
alpha,
tau,
sigma=1,
n_samp=n_samp,
n_step=n_step):
ENVlh = CircularTrack(n_state=n_state_circ, start=start, goal_no=None)
GENlh = Generator(ENV=ENVlh, symmetrize=symmetrize, jump_rate=jump_rate)
PROPlh = Propagator(GEN=GENlh, sigma=sigma, tau=tau, alpha=alpha)
EXPlh = Explorer(PROP=PROPlh, rho_init=start, no_dwell=no_dwell)
EXPlh.sample_sequences(n_samp=n_samp, n_step=n_step)
EXPlh.traj_width = 0
EXPlh.start_pos = True
EXPlh.state_msize = state_msize
return EXPlh, PROPlh, GENlh, ENVlh
def generate(self, original_name, input_path, output_dir, options):
options = {**self.defaults, **options}
overlay_file = options["overlay"]
if overlay_file not in OverlayGenerator.ALLOWED_OVERLAYS:
raise ValueError("Unknown overlay " + overlay_file)
overlay_name = OverlayGenerator.ALLOWED_OVERLAYS[overlay_file]
overlay = Image.open(f"resources/{overlay_file}")
emoji = self.load_image(input_path)
emoji = emoji[0]
emoji_name = Generator.get_emoji_name_from_file(original_name)
frames = []
emoji_w, emoji_h = emoji.size
palette = None
for i, overlay_frame in enumerate(ImageSequence.Iterator(overlay)):
canvas = Image.new("RGBA", emoji.size, (255, 255, 255))
if palette is None:
palette = overlay_frame.getpalette()
else:
overlay_frame.putpalette(palette)
# overlay_frame.save(f'../output/{overlay_name}.{i:02}.gif', 'GIF')
# cropped_frame = fire_frame.crop((0, 0, emoji_w, emoji_h))
overlay_frame.thumbnail(canvas.size)
overlay_frame = overlay_frame.convert('RGBA')
canvas.paste(emoji, (0, 0), mask=emoji)
offset = ((canvas.width - overlay_frame.width) // 2,
(canvas.height - overlay_frame.height) // 2)
if overlay_name == 'burning':
offset = (0, emoji_h - overlay_frame.height + 5)
canvas.paste(overlay_frame, offset, mask=overlay_frame)
frames.append(canvas)
return self.write_gif(frames, output_dir, emoji_name + ".gif",
options), f'{overlay_name}_{original_name}'
# SETTINGS - SIMULATOR/LEARNER/EXPLORER
no_dwell = False
n_samp = 1
# VISUALIZATION
state_msize = 5
# %% eigenvectors panels
ENV = RoomWorld(start=0, scale=scale_highres)
kernels = [
3, 8, 23, 35, 9 * 8, 9 * 12 + 1, 16 * 12, 16 * 12 + 1, 17 * 12 + 1,
19 * 12 - 4
]
ncols = len(kernels)
GEN = Generator(ENV=ENV,
forward=forward,
symmetrize=symmetrize,
jump_rate=jump_rate)
GEN.plot_real_eigenvectors(kernels=kernels,
wrap_col=ncols,
title=False,
norm_scale=norm_scale)
if save_output:
GEN.fig.savefig(
os.path.join(figdir, fname_base + "_evecs.png"),
dpi=300,
bbox_inches="tight",
pad_inches=0.1,
)
# %% tau x t and sample panels
labelpad = 10
env_lw = 2.
jitter_state = False
vmax_prop = 0.05
# SAMPLING
ENV = OpenBox(scale=scale)
ENV.env_lw = env_lw
state_away_default = 26
states_away = [26, 48, 598, 576]
n_states_away = len(states_away) # corners
state_home = 335 # slightly off center as in Pfeiffer2013
states_home = [state_home]
states_home = [310, 311, 336, 335]
GEN = Generator(ENV=ENV, symmetrize=symmetrize, jump_rate=jump_rate)
GENh = Generator(ENV=ENV, symmetrize=symmetrize, jump_rate=jump_rate)
GENh.highlight_states(states=states_home, weight=goal_weight)
PROPd = Propagator(GEN=GENh, tau=tau_diff, alpha=alpha_diff)
PROPs = Propagator(GEN=GENh, tau=tau_sdiff, alpha=alpha_sdiff)
# multi-start away explorers
EXPds = []
EXPss = []
PROPds = []
PROPss = []
for start in states_away:
EXPd = Explorer(PROP=PROPd,
rho_init=start,
no_dwell=no_dwell,
jitter_std = 0.03
traj_width = 0.
# %% SIMULATIONS
n_x = 100
alphas = [alpha_shift, alpha_base]
taus = [tau_shift, tau_base]
# alpha_tau_combos = list(product(alphas,taus))
alpha_tau_combos = [(alpha_base, tau_base), (alpha_base, tau_shift),
(alpha_shift, tau_shift)]
n_alpha = len(alphas)
n_tau = len(taus)
ENV = LinearTrack(scale=n_state, goal=goal)
GEN = Generator(ENV=LinearTrack(scale=n_state, goal=goal),
forward=forward,
symmetrize=symmetrize,
jump_rate=jump_rate)
evals = GEN.evals
x_state = np.linspace(0, 1, n_state)
x = np.linspace(0, 1, n_x)
comps = range(1, n_state + 1)
comps_rev = [c for c in reversed(comps)]
# generate pandas dataaset
iterables_prop = [alphas, taus, x]
iterables_eval = [alphas, taus, comps]
iterables_comp = [comps, x]
ix_prop = pd.MultiIndex.from_product(iterables_prop,
names=['alpha', 'tau', 'x'])
ix_eval = pd.MultiIndex.from_product(iterables_eval,
names=['alpha', 'tau', 'comp'])
help='number of samples to generate (default: 10000)')
parser.add_argument('--no-cuda',
action='store_true',
default=False,
help='Disables GPU use')
parser.add_argument('--out-path',
type=str,
default='./',
metavar='Path',
help='Path to output samples')
args = parser.parse_args()
args.cuda = True if not args.no_cuda and torch.cuda.is_available(
) else False
if args.cp_path is None:
raise ValueError(
'There is no checkpoint/model path. Use arg --cp-path to indicate the path!'
)
model = Generator(100, [1024, 512, 256, 128], 3)
ckpt = torch.load(args.cp_path, map_location=lambda storage, loc: storage)
model.load_state_dict(ckpt['model_state'])
if args.cuda:
model = model.cuda()
print('Cuda Mode is: {}'.format(args.cuda))
save_samples_no_grid(model, args.nsamples, args.cuda, args.out_path)
secondWord = df1['question_text'].str.split().str[1]
#secondWordFalse2 = dfFalse['question_text'].str.split().str[1]
TrueCount2 = secondWord.value_counts().index.tolist()[:10]
#FalseCount2 = secondWordFalse2.value_counts().index.tolist()[:10]
TrueCountNGram = []
for x in itertools.product(TrueCount, TrueCount2):
k = ' '.join(x)
TrueCountNGram.append(k)
numOfWords = 2000
tokenizerPos = Tokenizer(num_words=numOfWords)
gen = Generator(df1, TrueCount, TrueCountNGram, stop)
#genT = Generator(dfV)
X_input = gen.generate(6).__next__()
epochs = 5
model = lstm_model()
model.fit_generator(gen.generate(200),
epochs=epochs,
verbose=1,
steps_per_epoch=500)
model_yaml = model.to_yaml()
with open("model.yaml", "w") as yaml_file:
yaml_file.write(model_yaml)
# serialize weights to HDF5
def data_preparation(jzdbtest_session, apply_prefix, apply_suffix, apply_code,
user_id, organ_id, net_id):
# Create apply id and register the id
apply_sn = SerialNumber(insert_time=datetime.now(),
update_time=datetime.now(),
operator_id=0,
delete_flag=0,
type=2,
prefix=apply_prefix,
suffix=apply_suffix,
number=apply_code)
register_prefix, register_suffix, register_code = DataPreparation.create_serial_number(
'RE', jzdbtest_session)
reg_sn = SerialNumber(insert_time=datetime.now(),
update_time=datetime.now(),
operator_id=0,
delete_flag=0,
type=1,
prefix=register_prefix,
suffix=register_suffix,
number=register_code)
# Create apply
product_code = ['1006', '1007'][random.randint(0, 1)]
customer = Generator.generate_customer()
cr = DataPreparation.customer_register(register_code, customer,
product_code, user_id, organ_id,
net_id)
apply = DataPreparation.customer_apply(apply_code, register_code, customer,
product_code, user_id, organ_id,
net_id)
# Create user id information
id_card = DataPreparation.customer_id_card(apply_code, customer)
# Check files
check_file_1 = DataPreparation.customer_check_file(apply_code, 1)
check_file_2 = DataPreparation.customer_check_file(apply_code, 2)
check_file_3 = DataPreparation.customer_check_file(apply_code, 3)
# Customer basic information
basic_info = DataPreparation.customer_application_info_pre(
apply_code, customer)
# Customer policy information, if product id is 1007
if product_code == '1007':
policy = DataPreparation.customer_policy(apply_code)
with jzdbtest_session.begin():
jzdbtest_session.add(policy)
jzdbtest_session.add(
DataPreparation.customer_policy_photo(apply_code, policy.id))
with jzdbtest_session.begin():
jzdbtest_session.add_all([
apply_sn, reg_sn, cr, apply, id_card, check_file_1, check_file_2,
check_file_3, basic_info
])
# Create credits
pboc1, pboc2 = DataPreparation.api_pboc(apply_code, jzdbtest_session)
file_result = DataPreparation.customer_check_file_result(apply_code)
# Customer information review
apply_confirm_result = DataPreparation.customer_applyconfirm_result(
apply_code)
# Entire customer information
application_info = DataPreparation.customer_application_info(apply_code)
# Intermedia agreements
agreement2, agreement3, agreement4 = DataPreparation.customer_intermediary_agreement_file(
apply_code)
with jzdbtest_session.begin():
jzdbtest_session.add_all([
pboc1, pboc2, file_result, apply_confirm_result, application_info,
agreement2, agreement3, agreement4
])
# Intermedia agreements review
media_file_result = DataPreparation.customer_intermediary_agreement_result(
apply_code)
with jzdbtest_session.begin():
jzdbtest_session.add(media_file_result)
return product_code, customer
for i in range(int(record_size)):
logger.info('To create data #{}'.format(str(i + 1)))
apply_prefix, apply_suffix, apply_code = DataPreparation.create_serial_number(
'AP', jzdbtest_session)
product_code, customer = data_preparation(jzdbtest_session,
apply_prefix,
apply_suffix, apply_code,
user_id, organ_id,
net_id)
telephone_verification_preparation(product_code, apply_code,
jzdbtest_session)
logger.info('To create workflow #{}'.format(str(i + 1)))
workflow = WorkflowTrigger(apply_code, user_id=user_id)
branch_workflow(workflow)
if xarg == 'interview':
file_audit_workflow(workflow, file_auditor)
solution_confirm_workflow(workflow)
intermedia_file_audit(workflow, agreement_auditor)
launch_phone_verification_workflow(workflow, product_code)
launch_branch_registration_workflow(workflow, customer.name,
customer.id_number)
print('{} data have been imported.'.format(str(record_size)))
sso_session.close()
jzdbtest_session.close()
else:
# for export simulated data
with open(xarg + '.csv', 'w') as csv:
for _ in range(int(record_size)):
customer = Generator.generate_customer()
csv.write(str(customer) + '\n')
total_epoch = 100
batch_size = 100
learning_rate = 0.0002
n_input = 28 * 28
n_noise = 128
def get_noise(batch_size, n_noise):
return np.random.normal(size=(batch_size, n_noise))
X = tf.placeholder(tf.float32, [None, n_input])
Z = tf.placeholder(tf.float32, [None, n_noise])
G = Generator(n_input, n_noise)
G_out = G.net(Z)
D = Discriminator(n_input, n_noise)
D_gene = D.net(G_out, reuse=False)
D_real = D.net(X, reuse=True)
loss_D = tf.reduce_mean(tf.log(D_real) + tf.log(1 - D_gene))
loss_G = tf.reduce_mean(tf.log(D_gene))
D_var_list = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES,
scope='discriminator')
G_var_list = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES,
scope='generator')
#print('G_var_list:', len(G_var_list))
#print('D_var_list:', len(D_var_list))
ti = ti.reshape((ti.shape[0], ti.shape[1], 1)) ti = ti.transpose((2, 0, 1)) ti = ti / 128. - 1.0 #%% Check generated models for a given epoch DoFiltering = False DoThreshold = True TriCat = True epoch = 299 gpath = work_dir + '/netG_epoch_' + str(epoch) + '.pth' cuda = False from generators import G as Generator netG = Generator(nc=1, nz=3, ngf=64, gfs=3, ngpu=1, cuda=cuda, gpath=gpath) netG.eval() #rn_seed=2043 #np.random.seed(rn_seed) nz = 3 zx = 5 zy = 3 znp = np.random.uniform(0, 1, (1, nz, zx, zy)) * 2 - 1 z = torch.from_numpy(znp).float() t0 = time.time() if cuda:
class InternalCommands:
project = 'synergy'
setup_version = 5 # increment to force setup/config
website_url = 'http://synergy-foss.org/'
this_cmd = 'hm'
cmake_cmd = 'cmake'
qmake_cmd = 'qmake'
make_cmd = 'make'
xcodebuild_cmd = 'xcodebuild'
w32_make_cmd = 'mingw32-make'
w32_qt_version = '4.6.2'
defaultTarget = 'release'
cmake_dir = 'res'
gui_dir = 'src/gui'
doc_dir = 'doc'
sln_filename = '%s.sln' % project
xcodeproj_filename = '%s.xcodeproj' % project
configDir = 'build'
configFilename = '%s/%s.cfg' % (configDir, this_cmd)
qtpro_filename = 'gui.pro'
doxygen_filename = 'doxygen.cfg'
cmake_url = 'http://www.cmake.org/cmake/resources/software.html'
# try_chdir(...) and restore_chdir() will use this
prevdir = ''
# by default, no index specified as arg
generator_id = None
# by default, prompt user for input
no_prompts = False
# by default, don't compile the gui
enable_make_gui = False
win32_generators = {
1 : Generator('Visual Studio 10'),
2 : Generator('Visual Studio 10 Win64'),
3 : Generator('Visual Studio 9 2008'),
4 : Generator('Visual Studio 9 2008 Win64'),
5 : Generator('Visual Studio 8 2005'),
6 : Generator('Visual Studio 8 2005 Win64')
}
unix_generators = {
1 : MakefilesGenerator(),
2 : EclipseGenerator(),
}
darwin_generators = {
1 : MakefilesGenerator(),
2 : Generator('Xcode'),
3 : EclipseGenerator(),
}
def getBuildDir(self, target=''):
return self.getGenerator().getBuildDir(target)
def getBinDir(self, target=''):
return self.getGenerator().getBinDir(target)
def sln_filepath(self):
return '%s\%s' % (self.getBuildDir(), self.sln_filename)
def xcodeproj_filepath(self, target=''):
return '%s/%s' % (self.getBuildDir(target), self.xcodeproj_filename)
def usage(self):
app = sys.argv[0]
print ('Usage: %s <command> [-g <index>|-v|--no-prompts|<command-options>]\n'
'\n'
'Replace [command] with one of:\n'
' about Show information about this script\n'
' setup Runs the initial setup for this script\n'
' conf Runs cmake (generates project files)\n'
' open Attempts to open the generated project file\n'
' build Builds using the platform build chain\n'
' clean Cleans using the platform build chain\n'
' kill Kills all synergy processes (run as admin)\n'
' update Updates the source code from repository\n'
' revision Display the current source code revision\n'
' package Create a distribution package (e.g. tar.gz)\n'
' install Installs the program\n'
' doxygen Builds doxygen documentation\n'
' reformat Reformat .cpp and .h files using AStyle\n'
' usage Shows the help screen\n'
'\n'
'Example: %s build -g 3'
) % (app, app)
def configureAll(self, targets):
# if no mode specified, use default
if len(targets) == 0:
targets += [self.defaultTarget,]
for target in targets:
self.configure(target)
def configure(self, target='', extraArgs=''):
cmake_args = ''
# ensure latest setup and do not ask config for generator (only fall
# back to prompt if not specified as arg)
self.ensure_setup_latest()
# ensure that we have access to cmake
_cmake_cmd = self.persist_cmake()
# now that we know we've got the latest setup, we can ask the config
# file for the generator (but again, we only fall back to this if not
# specified as arg).
generator = self.getGenerator()
if generator != self.findGeneratorFromConfig():
print('Generator changed, running setup.')
self.setup(target)
if generator.cmakeName != '':
cmake_args += ' -G "' + generator.cmakeName + '"'
# default is release
if target == '':
print 'Defaulting target to: ' + self.defaultTarget
target = self.defaultTarget
# for makefiles always specify a build type (debug, release, etc)
if generator.cmakeName.find('Unix Makefiles') != -1:
cmake_args += ' -DCMAKE_BUILD_TYPE=' + target.capitalize()
# if not visual studio, use parent dir
sourceDir = generator.getSourceDir()
if extraArgs != '':
cmake_args += ' ' + extraArgs
cmake_cmd_string = _cmake_cmd + cmake_args + ' ' + sourceDir
# Run from build dir so we have an out-of-source build.
self.try_chdir(self.getBuildDir(target))
print "CMake command: " + cmake_cmd_string
err = os.system(cmake_cmd_string)
self.restore_chdir()
if generator.cmakeName.find('Eclipse') != -1:
self.fixCmakeEclipseBug()
if err != 0:
raise Exception('CMake encountered error: ' + str(err))
# allow user to skip qui compile
if self.enable_make_gui:
# make sure we have qmake
self.persist_qmake()
qmake_cmd_string = self.qmake_cmd + " " + self.qtpro_filename + " -r"
if sys.platform == "darwin":
# create makefiles on mac (not xcode).
qmake_cmd_string += " -spec macx-g++"
(major, minor) = self.getMacVersion()
if major == 10 and minor <= 4:
# 10.4: universal (intel and power pc)
qmake_cmd_string += ' CONFIG+="ppc i386"'
print "QMake command: " + qmake_cmd_string
# run qmake from the gui dir
self.try_chdir(self.gui_dir)
err = os.system(qmake_cmd_string)
self.restore_chdir()
if err != 0:
raise Exception('QMake encountered error: ' + str(err))
self.setConfRun(target)
# http://tinyurl.com/cs2rxxb
def fixCmakeEclipseBug(self):
print "Fixing CMake Eclipse bugs..."
file = open('.project', 'r+')
content = file.read()
pattern = re.compile('\s+<linkedResources>.+</linkedResources>', re.S)
content = pattern.sub('', content)
file.seek(0)
file.write(content)
file.truncate()
file.close()
def persist_cmake(self):
# even though we're running `cmake --version`, we're only doing this for the 0 return
# code; we don't care about the version, since CMakeLists worrys about this for us.
err = os.system('%s --version' % self.cmake_cmd)
if err != 0:
# if return code from cmake is not 0, then either something has
# gone terribly wrong with --version, or it genuinely doesn't exist.
print ('Could not find `%s` in system path.\n'
'Download the latest version from:\n %s') % (
self.cmake_cmd, self.cmake_url)
raise Exception('Cannot continue without CMake.')
else:
return self.cmake_cmd
def persist_qt(self):
self.persist_qmake()
def persist_qmake(self):
# cannot use subprocess on < python 2.4
if sys.version_info < (2, 4):
return
try:
p = subprocess.Popen(
[self.qmake_cmd, '--version'],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
except:
print >> sys.stderr, 'Error: Could not find qmake.'
if sys.platform == 'win32': # windows devs usually need hints ;)
print (
'Suggestions:\n'
'1. Ensure that qmake.exe exists in your system path.\n'
'2. Try to download Qt (check our dev FAQ for links):\n'
' qt-sdk-win-opensource-2010.02.exe')
raise Exception('Cannot continue without qmake.')
stdout, stderr = p.communicate()
if p.returncode != 0:
raise Exception('Could not test for cmake: %s' % stderr)
else:
m = re.search('.*Using Qt version (\d+\.\d+\.\d+).*', stdout)
if m:
if sys.platform == 'win32':
ver = m.group(1)
if ver != self.w32_qt_version: # TODO: test properly
print >> sys.stderr, (
'Warning: Not using supported Qt version %s'
' (your version is %s).'
) % (self.w32_qt_version, ver)
else:
pass # any version should be ok for other platforms
else:
raise Exception('Could not find qmake version.')
def ensureConfHasRun(self, target, skipConfig):
if self.hasConfRun(target):
print 'Skipping config for target: ' + target
skipConfig = True
if not skipConfig:
self.configure(target)
def build(self, targets=[], skipConfig=False):
# if no mode specified, use default
if len(targets) == 0:
targets += [self.defaultTarget,]
self.ensure_setup_latest()
generator = self.getGeneratorFromConfig().cmakeName
if generator.find('Unix Makefiles') != -1:
for target in targets:
self.ensureConfHasRun(target, skipConfig)
self.runBuildCommand(self.make_cmd, target)
else:
self.ensureConfHasRun('all', skipConfig)
for target in targets:
if generator.startswith('Visual Studio'):
self.run_vcbuild(generator, target)
elif generator == 'Xcode':
cmd = self.xcodebuild_cmd + ' -configuration ' + target.capitalize()
self.runBuildCommand(cmd, target)
else:
raise Exception('Build command not supported with generator: ' + generator)
# allow user to skip qui compile
if self.enable_make_gui:
self.make_gui(targets)
def runBuildCommand(self, cmd, target):
self.try_chdir(self.getBuildDir(target))
err = os.system(cmd)
self.restore_chdir()
if err != 0:
raise Exception(cmd + ' failed: ' + str(err))
def clean(self, targets=[]):
# if no mode specified, use default
if len(targets) == 0:
targets += [self.defaultTarget,]
generator = self.getGeneratorFromConfig().cmakeName
if generator.startswith('Visual Studio'):
# special case for version 10, use new /target:clean
if generator.startswith('Visual Studio 10'):
for target in targets:
self.run_vcbuild(generator, target, '/target:clean')
# any other version of visual studio, use /clean
elif generator.startswith('Visual Studio'):
for target in targets:
self.run_vcbuild(generator, target, '/clean')
else:
cmd = ''
if generator == "Unix Makefiles":
print 'Cleaning with GNU Make...'
cmd = self.make_cmd
elif generator == 'Xcode':
print 'Cleaning with Xcode...'
cmd = self.xcodebuild_cmd
else:
raise Exception('Not supported with generator: ' + generator)
for target in targets:
self.try_chdir(self.getBuildDir(target))
err = os.system(cmd + ' clean')
self.restore_chdir()
if err != 0:
raise Exception('Clean failed: ' + str(err))
# allow user to skip qui compile
clean_targets = []
if self.enable_make_gui:
for target in targets:
clean_targets.append(target + '-clean')
self.make_gui(clean_targets)
def make_gui(self, targets):
if sys.platform == 'win32':
gui_make_cmd = self.w32_make_cmd
elif sys.platform in ['linux2', 'sunos5', 'freebsd7', 'darwin']:
gui_make_cmd = self.make_cmd + " -w"
else:
raise Exception('Unsupported platform: ' + sys.platform)
print 'Make GUI command: ' + gui_make_cmd
if sys.platform == 'win32':
for target in targets:
self.try_chdir(self.gui_dir)
err = os.system(gui_make_cmd + ' ' + target)
self.restore_chdir()
if err != 0:
raise Exception(gui_make_cmd + ' failed with error: ' + str(err))
else:
self.try_chdir(self.gui_dir)
err = os.system(gui_make_cmd)
self.restore_chdir()
if err != 0:
raise Exception(gui_make_cmd + ' failed with error: ' + str(err))
if sys.platform == 'darwin':
self.macPostMakeGui()
def macPostMakeGui(self):
dir = self.getGenerator().binDir
# copy synergy[cs] binaries into the bundle, since the gui
# now looks for the binaries in the current app dir.
shutil.copy(dir + "/synergyc",
dir + "/Synergy.app/Contents/MacOS/")
shutil.copy(dir + "/synergys",
dir + "/Synergy.app/Contents/MacOS/")
def open(self):
generator = self.getGeneratorFromConfig().cmakeName
if generator.startswith('Visual Studio'):
print 'Opening with %s...' % generator
self.open_internal(self.sln_filepath())
elif generator.startswith('Xcode'):
print 'Opening with %s...' % generator
self.open_internal(self.xcodeproj_filepath(), 'open')
else:
raise Exception('Not supported with generator: ' + generator)
def update(self):
print "Running Subversion update..."
err = os.system('svn update')
if err != 0:
raise Exception('Could not update from repository with error code code: ' + str(err))
def revision(self):
print self.find_revision()
def find_revision(self):
if sys.version_info < (2, 4):
import commands
stdout = commands.getoutput('svn info')
else:
p = subprocess.Popen(['svn', 'info'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = p.communicate()
if p.returncode != 0:
raise Exception('Could not get revision - svn info failed with code: ' + str(p.returncode))
m = re.search('.*Revision: (\d+).*', stdout)
if not m:
raise Exception('Could not find revision number in svn info output.')
return m.group(1)
def kill(self):
if sys.platform == 'win32':
return os.system('taskkill /F /FI "IMAGENAME eq synergy*"')
else:
raise Exception('Not implemented for platform: ' + sys.platform)
def doxygen(self):
# The conf generates doc/doxygen.cfg from cmake/doxygen.cfg.in
self.configure(self.defaultTarget, '-DCONF_DOXYGEN:BOOL=TRUE')
err = os.system('doxygen %s/%s' % (self.doc_dir, self.doxygen_filename))
if err != 0:
raise Exception('doxygen failed with error code: ' + str(err))
def dist(self, type, vcRedistDir, qtDir):
# Package is supported by default.
package_unsupported = False
unixTarget = self.defaultTarget
if type == '' or type == None:
raise Exception('No type specified.')
if type != 'win' and type != 'mac':
self.configure(unixTarget, '-DCONF_CPACK:BOOL=TRUE')
# make sure we have a release build to package
self.build([self.defaultTarget], skipConfig=True)
moveExt = ''
if type == None:
self.dist_usage()
return
elif type == 'src':
if sys.platform in ['linux2', 'darwin']:
self.distSrc()
else:
package_unsupported = True
elif type == 'rpm':
if sys.platform == 'linux2':
self.dist_run('cpack -G RPM', unixTarget)
moveExt = 'rpm'
else:
package_unsupported = True
elif type == 'deb':
if sys.platform == 'linux2':
self.dist_run('cpack -G DEB', unixTarget)
moveExt = 'deb'
else:
package_unsupported = True
elif type == 'win':
if sys.platform == 'win32':
self.distNsis(vcRedistDir, qtDir)
else:
package_unsupported = True
elif type == 'mac':
if sys.platform == 'darwin':
self.distMac(unixTarget)
else:
package_unsupported = True
else:
raise Exception('Package type not supported: ' + type)
if moveExt != '':
self.unixMove(
self.getGenerator().buildDir + '/release/*.' + moveExt,
self.getGenerator().binDir)
if package_unsupported:
raise Exception(
("Package type, '%s' is not supported for platform, '%s'")
% (type, sys.platform))
def distSrc(self):
version = self.getVersionFromCmake()
name = (self.project + '-' + version + '-Source')
exportPath = self.getGenerator().buildDir + '/' + name
if os.path.exists(exportPath):
print "Removing existing export..."
shutil.rmtree(exportPath)
print 'Exporting repository to: ' + exportPath
err = os.system('svn export . ' + exportPath)
if err != 0:
raise Exception('Repository export failed: ' + str(err))
packagePath = '../' + self.getGenerator().binDir + '/' + name + '.tar.gz'
try:
self.try_chdir(self.getGenerator().buildDir)
print 'Packaging to: ' + packagePath
err = os.system('tar cfvz ' + packagePath + ' ' + name)
if err != 0:
raise Exception('Package failed: ' + str(err))
finally:
self.restore_chdir()
def unixMove(self, source, dest):
print 'Moving ' + source + ' to ' + dest
err = os.system('mv ' + source + ' ' + dest)
if err != 0:
raise Exception('Package failed: ' + str(err))
def distMac(self, unixTarget):
dir = self.getGenerator().binDir
# use qt to copy libs to bundle so no dependencies are needed,
# and create dmg for easy download.
bin = "macdeployqt Synergy.app -dmg -verbose=2"
self.try_chdir(dir)
err = os.system(bin)
self.restore_chdir()
if err != 0:
raise Exception(bin + " failed with error: " + str(err))
fileName = "%s-%s-%s.dmg" % (
self.project,
self.getVersionFromCmake(),
self.getMacPackageName())
shutil.move(dir + "/Synergy.dmg", dir + "/" + fileName)
def distNsis(self, vcRedistDir, qtDir):
if vcRedistDir == '':
raise Exception(
'VC++ redist dir path not specified (--vcredist-dir).')
if qtDir == '':
raise Exception(
'QT SDK dir path not specified (--qt-dir).')
generator = self.getGeneratorFromConfig().cmakeName
arch = 'x86'
installDirVar = '$PROGRAMFILES32'
if generator.endswith('Win64'):
arch = 'x64'
installDirVar = '$PROGRAMFILES64'
templateFile = open(self.cmake_dir + '\Installer.nsi.in')
template = templateFile.read()
template = template.replace('${in:version}', self.getVersionFromCmake())
template = template.replace('${in:arch}', arch)
template = template.replace('${in:vcRedistDir}', vcRedistDir)
template = template.replace('${in:qtDir}', qtDir)
template = template.replace('${in:installDirVar}', installDirVar)
nsiPath = self.getGenerator().buildDir + '\Installer.nsi'
nsiFile = open(nsiPath, 'w')
nsiFile.write(template)
nsiFile.close()
command = 'makensis ' + nsiPath
print 'NSIS command: ' + command
err = os.system(command)
if err != 0:
raise Exception('Package failed: ' + str(err))
def getVersionFromCmake(self):
cmakeFile = open('CMakeLists.txt')
cmake = cmakeFile.read()
majorRe = re.search('VERSION_MAJOR (\d+)', cmake)
major = majorRe.group(1)
minorRe = re.search('VERSION_MINOR (\d+)', cmake)
minor = minorRe.group(1)
revRe = re.search('VERSION_REV (\d+)', cmake)
rev = revRe.group(1)
return major + '.' + minor + '.' + rev
def distftp(self, type, ftp):
if not type:
raise Exception('Type not specified.')
if not ftp:
raise Exception('FTP info not defined.')
src = self.dist_name(type)
dest = self.dist_name_rev(type)
print 'Uploading %s to FTP server %s...' % (dest, ftp.host)
srcDir = 'bin/'
generator = self.getGeneratorFromConfig().cmakeName
#if not generator.startswith('Visual Studio'):
# srcDir += 'release/'
ftp.run(srcDir + src, dest)
print 'Done'
def dist_name(self, type):
ext = None
platform = None
if type == 'src':
ext = 'tar.gz'
platform = 'Source'
elif type == 'rpm' or type == 'deb':
# os_bits should be loaded with '32bit' or '64bit'
import platform
(os_bits, other) = platform.architecture()
# get platform based on current platform
ext = type
if os_bits == '32bit':
platform = 'Linux-i686'
elif os_bits == '64bit':
platform = 'Linux-x86_64'
elif type == 'win':
# get platform based on last generator used
ext = 'exe'
generator = self.getGeneratorFromConfig().cmakeName
if generator.find('Win64') != -1:
platform = 'Windows-x64'
else:
platform = 'Windows-x86'
elif type == 'mac':
ext = "dmg"
platform = self.getMacPackageName()
if not platform:
raise Exception('Unable to detect package platform.')
pattern = re.escape(self.project + '-') + '\d\.\d\.\d' + re.escape('-' + platform + '.' + ext)
# only use release dir if not windows
target = ''
for filename in os.listdir(self.getBinDir(target)):
if re.search(pattern, filename):
return filename
# still here? package probably not created yet.
raise Exception('Could not find package name with pattern: ' + pattern)
def dist_name_rev(self, type):
# find the version number (we're puting the rev in after this)
pattern = '(.*\d+\.\d+\.\d+)(.*)'
replace = '\g<1>-r' + self.find_revision() + '\g<2>'
return re.sub(pattern, replace, self.dist_name(type))
def dist_run(self, command, target=''):
self.try_chdir(self.getBuildDir(target))
print 'CPack command: ' + command
err = os.system(command)
self.restore_chdir()
if err != 0:
raise Exception('Package failed: ' + str(err))
def dist_usage(self):
print ('Usage: %s package [package-type]\n'
'\n'
'Replace [package-type] with one of:\n'
' src .tar.gz source (Posix only)\n'
' rpm .rpm package (Red Hat)\n'
' deb .deb paclage (Debian)\n'
' win .exe installer (Windows)\n'
' mac .dmg package (Mac OS X)\n'
'\n'
'Example: %s package src-tgz') % (self.this_cmd, self.this_cmd)
def about(self):
print ('Help Me script, from the Synergy project.\n'
'%s\n'
'\n'
'For help, run: %s help') % (self.website_url, self.this_cmd)
def try_chdir(self, dir):
global prevdir
if dir == '':
prevdir = ''
return
# Ensure temp build dir exists.
if not os.path.exists(dir):
print 'Creating dir: ' + dir
os.makedirs(dir)
prevdir = os.path.abspath(os.curdir)
# It will exist by this point, so it's safe to chdir.
print 'Entering dir: ' + dir
os.chdir(dir)
def restore_chdir(self):
global prevdir
if prevdir == '':
return
print 'Going back to: ' + prevdir
os.chdir(prevdir)
def open_internal(self, project_filename, application = ''):
if not os.path.exists(project_filename):
raise Exception('Project file (%s) not found, run hm conf first.' % project_filename)
else:
path = project_filename
if application != '':
path = application + ' ' + path
err = os.system(path)
if err != 0:
raise Exception('Could not open project with error code code: ' + str(err))
def setup(self, target=''):
print "Running setup..."
oldGenerator = self.findGeneratorFromConfig()
if not oldGenerator == None:
for target in ['debug', 'release']:
buildDir = oldGenerator.getBuildDir(target)
cmakeCacheFilename = 'CMakeCache.txt'
if buildDir != '':
cmakeCacheFilename = buildDir + '/' + cmakeCacheFilename
if os.path.exists(cmakeCacheFilename):
print "Removing %s, since generator changed." % cmakeCacheFilename
os.remove(cmakeCacheFilename)
# always either get generator from args, or prompt user when
# running setup
generator = self.get_generator_from_prompt()
if os.path.exists(self.configFilename):
config = ConfigParser.ConfigParser()
config.read(self.configFilename)
else:
config = ConfigParser.ConfigParser()
if not config.has_section('hm'):
config.add_section('hm')
if not config.has_section('cmake'):
config.add_section('cmake')
config.set('hm', 'setup_version', self.setup_version)
# store the generator so we don't need to ask again
config.set('cmake', 'generator', generator)
self.write_config(config)
# for all targets, set conf not run
self.setConfRun('all', False)
self.setConfRun('debug', False)
self.setConfRun('release', False)
print "Setup complete."
def write_config(self, config, target=''):
if not os.path.isdir(self.configDir):
os.mkdir(self.configDir)
configfile = open(self.configFilename, 'wb')
config.write(configfile)
def getGeneratorFromConfig(self):
generator = self.findGeneratorFromConfig()
if generator:
return generator
raise Exception("Could not find generator: " + name)
def findGeneratorFromConfig(self):
config = ConfigParser.RawConfigParser()
config.read(self.configFilename)
if not config.has_section('cmake'):
return None
name = config.get('cmake', 'generator')
generators = self.get_generators()
keys = generators.keys()
keys.sort()
for k in keys:
if generators[k].cmakeName == name:
return generators[k]
return None
def min_setup_version(self, version):
if os.path.exists(self.configFilename):
config = ConfigParser.RawConfigParser()
config.read(self.configFilename)
try:
return config.getint('hm', 'setup_version') >= version
except:
return False
else:
return False
def hasConfRun(self, target):
if self.min_setup_version(2):
config = ConfigParser.RawConfigParser()
config.read(self.configFilename)
try:
return config.getboolean('hm', 'conf_done_' + target)
except:
return False
else:
return False
def setConfRun(self, target, hasRun=True):
if self.min_setup_version(3):
config = ConfigParser.RawConfigParser()
config.read(self.configFilename)
config.set('hm', 'conf_done_' + target, hasRun)
self.write_config(config)
else:
raise Exception("User does not have correct setup version.")
def get_generators(self):
if sys.platform == 'win32':
return self.win32_generators
elif sys.platform in ['linux2', 'sunos5', 'freebsd7']:
return self.unix_generators
elif sys.platform == 'darwin':
return self.darwin_generators
else:
raise Exception('Unsupported platform: ' + sys.platform)
def get_generator_from_prompt(self):
return self.getGenerator().cmakeName
def getGenerator(self):
generators = self.get_generators()
if len(generators.keys()) == 1:
return generators[generators.keys()[0]]
# if user has specified a generator as an argument
if self.generator_id:
return generators[int(self.generator_id)]
conf = self.findGeneratorFromConfig()
if conf:
return conf
raise Exception(
'Generator not specified, use -g arg ' +
'(use `hm genlist` for a list of generators).')
def setup_generator_prompt(self, generators):
if self.no_prompts:
raise Exception('User prompting is disabled.')
prompt = 'Enter a number:'
print prompt,
generator_id = raw_input()
if generator_id in generators:
print 'Selected generator:', generators[generator_id]
else:
print 'Invalid number, try again.'
self.setup_generator_prompt(generators)
return generators[generator_id]
def get_vcvarsall(self, generator):
import platform, _winreg
# os_bits should be loaded with '32bit' or '64bit'
(os_bits, other) = platform.architecture()
# visual studio is a 32-bit app, so when we're on 64-bit, we need to check the WoW dungeon
if os_bits == '64bit':
key_name = r'SOFTWARE\Wow6432Node\Microsoft\VisualStudio\SxS\VS7'
else:
key_name = r'SOFTWARE\Microsoft\VisualStudio\SxS\VC7'
try:
key = _winreg.OpenKey(_winreg.HKEY_LOCAL_MACHINE, key_name)
except:
raise Exception('Unable to open Visual Studio registry key. Application may not be installed.')
if generator.startswith('Visual Studio 8'):
value,type = _winreg.QueryValueEx(key, '8.0')
elif generator.startswith('Visual Studio 9'):
value,type = _winreg.QueryValueEx(key, '9.0')
elif generator.startswith('Visual Studio 10'):
value,type = _winreg.QueryValueEx(key, '10.0')
else:
raise Exception('Cannot determin vcvarsall.bat location for: ' + generator)
# not sure why, but the value on 64-bit differs slightly to the original
if os_bits == '64bit':
path = value + r'vc\vcvarsall.bat'
else:
path = value + r'vcvarsall.bat'
if not os.path.exists(path):
raise Exception("'%s' not found." % path)
return path
def run_vcbuild(self, generator, mode, args=''):
import platform
# os_bits should be loaded with '32bit' or '64bit'
(os_bits, other) = platform.architecture()
# Now we choose the parameters bases on OS 32/64 and our target 32/64
# http://msdn.microsoft.com/en-us/library/x4d2c09s%28VS.80%29.aspx
# valid options are only: ia64 amd64 x86_amd64 x86_ia64
# but calling vcvarsall.bat does not garantee that it will work
# ret code from vcvarsall.bat is always 0 so the only way of knowing that I worked is by analysing the text output
# ms bugg: install VS9, FeaturePack, VS9SP1 and you'll obtain a vcvarsall.bat that fails.
if generator.find('Win64') != -1:
# target = 64bit
if os_bits == '32bit':
vcvars_platform = 'x86_amd64' # 32bit OS building 64bit app
else:
vcvars_platform = 'amd64' # 64bit OS building 64bit app
config_platform = 'x64'
else: # target = 32bit
vcvars_platform = 'x86' # 32/64bit OS building 32bit app
config_platform = 'Win32'
if mode == 'release':
config = 'Release'
else:
config = 'Debug'
if generator.startswith('Visual Studio 10'):
cmd = ('@echo off\n'
'call "%s" %s \n'
'msbuild /nologo %s /p:Configuration="%s" /p:Platform="%s" "%s"'
) % (self.get_vcvarsall(generator), vcvars_platform, args, config, config_platform, self.sln_filepath())
else:
config = config + '|' + config_platform
cmd = ('@echo off\n'
'call "%s" %s \n'
'vcbuild /nologo %s "%s" "%s"'
) % (self.get_vcvarsall(generator), vcvars_platform, args, self.sln_filepath(), config)
# Generate a batch file, since we can't use environment variables directly.
temp_bat = self.getBuildDir() + r'\vcbuild.bat'
file = open(temp_bat, 'w')
file.write(cmd)
file.close()
err = os.system(temp_bat)
if err != 0:
raise Exception('Microsoft compiler failed with error code: ' + str(err))
def ensure_setup_latest(self):
if not self.min_setup_version(self.setup_version):
self.setup()
def reformat(self):
err = os.system(
r'tool\astyle\AStyle.exe '
'--quiet --suffix=none --style=java --indent=force-tab=4 --recursive '
'lib/*.cpp lib/*.h cmd/*.cpp cmd/*.h')
if err != 0:
raise Exception('Reformat failed with error code: ' + str(err))
def printGeneratorList(self):
generators = self.get_generators()
keys = generators.keys()
keys.sort()
for k in keys:
print str(k) + ': ' + generators[k].cmakeName
def getMacVersion(self):
import commands
versions = commands.getoutput('/usr/bin/sw_vers')
result = re.search('ProductVersion:\t(\d+)\.(\d+)', versions)
if not result:
print versions
raise Exception(
'Could not find Mac OS X version in sw_vers output.')
major = int(result.group(1))
minor = int(result.group(2))
return (major, minor)
def getMacPackageName(self):
(major, minor) = self.getMacVersion()
if major == 10:
if minor <= 4:
# 10.4: intel and power pc
arch = "Universal"
elif minor <= 6:
# 10.5: 32-bit intel
arch = "i386"
else:
# 10.7: 64-bit intel (gui only)
arch = "x86_64"
else:
raise Exception("Mac OS major version unknown: " +
str(major))
# version is major and minor with no dots (e.g. 106)
version = str(major) + str(minor)
return "MacOSX%s-%s" % (version, arch)
def reset(self):
if os.path.exists('build'):
shutil.rmtree('build')
if os.path.exists('bin'):
shutil.rmtree('bin')
if os.path.exists('lib'):
shutil.rmtree('lib')
if os.path.exists('src/gui/tmp'):
shutil.rmtree('src/gui/tmp')
NUM_CLASSES = 21
input_shape = (300, 300, 3)
batch_size = 16
# SSD config
priors = pickle.load(open('prior_boxes_ssd300.pkl', 'rb'))
bbox_util = BBoxUtility(NUM_CLASSES, priors)
# Dataload
gt, train_keys, val_keys = load_data()
# Data generator
gen = Generator(gt,
bbox_util,
batch_size,
path_prefix,
train_keys,
val_keys, (input_shape[0], input_shape[1]),
do_crop=False)
# make model
model = SSD300(input_shape, num_classes=NUM_CLASSES)
weights_file_path = 'weights_SSD300.hdf5'
if os.path.exists(weights_file_path):
model.load_weights(weights_file_path, by_name=True)
## Not Trainable layer settings
freeze = [
'input_1', 'conv1_1', 'conv1_2', 'pool1', 'conv2_1', 'conv2_2', 'pool2',
'conv3_1', 'conv3_2', 'conv3_3', 'pool3'
import sys
from generators import Generator
from plugins import load_plugins
def find_parser(url, args):
plugins = load_plugins()
for plugin in plugins:
if plugin.can_handle(url):
return plugin.get_parser(url, args)
raise Exception("No plugin for URL: %s" % url)
def parse_args():
args_len = len(sys.argv)
if args_len > 1:
url = sys.argv[1]
else:
raise Exception("First argument: URL")
args = args_len > 2 and sys.argv[2:]
return url, args
if __name__ == '__main__':
url, args = parse_args()
parser = find_parser(url, args)
generator = Generator(parser)
generator.write_xml(sys.stdout)
def generator_cover_features_sentiment_manager_sharpness_preprocessor():
'''
Returns pipelines main (83 fields), managers (1 field), photo_cover_stats (3 fields), photo_cover (3*100*300), ids (1 field), response (3 fields)
'''
json_loader = l.JSONLoader()
preprocessor = l.Preprocessor()
preprocessor.with_pipeline('origin').set_loader(json_loader)
preprocessor.add_operation(l.DateTimeExtractor()).add_operation(
l.NewSimplePredictors())
preprocessor.add_operation(
l.LogTransform(['price_per_bedroom', 'price', 'price_per_bathroom']))
preprocessor.add_operation(
l.Selector([
'listing_id', 'bathrooms', u'bedrooms', 'latitude', 'longitude',
'price', 'month', 'day_of_month', 'hour', 'day_of_week',
'price_per_bathroom', 'price_per_bedroom', 'num_features',
'features_len', 'num_photos'
]))
merger = l.PandasColumnMerger(
['origin', 'features', 'sentiment', 'photo_stats'],
on='listing_id',
how='left')
preprocessor.set_consumer(merger)
preprocessor.with_pipeline('features').set_loader(
l.CSVLoader('data/features_train.csv', 'data/features_test.csv'))
preprocessor.set_consumer(merger)
preprocessor.with_pipeline('sentiment').set_loader(
l.CSVLoader('data/sentiment_train.csv', 'data/sentiment_test.csv'))
preprocessor.set_consumer(merger)
photo_url_merger = l.GetTopPhotoMerger('photo_stats_sharpness',
'photo_stats_photo_url')
preprocessor.with_pipeline('photo_stats_sharpness').set_loader(
l.CSVLoader('data/images_train.csv', 'data/images_test.csv'))
preprocessor.set_consumer(photo_url_merger)
preprocessor.with_pipeline('photo_stats_photo_url').set_loader(
json_loader.select_loader(['listing_id', 'photos']))
preprocessor.set_consumer(photo_url_merger)
preprocessor.with_pipeline('photo_stats').set_loader(photo_url_merger)
preprocessor.add_operation(
l.Selector(['listing_id', 'avg_width', 'avg_height', 'avg_sharpness']))
preprocessor.add_operation(l.LogTransform(['avg_sharpness'
])).set_consumer(merger)
preprocessor.with_pipeline('main').set_loader(merger).add_operation(
l.ColumnDrop('listing_id'))
preprocessor.add_operation(l.ToNdarray()).add_operation(
preprocessing.StandardScaler())
preprocessor.with_pipeline('response').set_loader(
json_loader.select_loader('interest_level'), only_train=True)
preprocessor.add_operation(
l.Dummifier(output_cols=['high', 'medium', 'low'])).add_operation(
l.ToNdarray())
preprocessor.with_pipeline('managers').set_loader(
json_loader.select_loader('manager_id'))
preprocessor.add_operation(l.CategoricalFilter(999)).add_operation(
l.ToNdarray(dtype=np.int64, outshape=(-1, 1)))
preprocessor.with_pipeline('photo_cover_stats').set_loader(
photo_url_merger)
preprocessor.add_operation(
l.Selector(['cover_width', 'cover_height', 'cover_sharpness']))
preprocessor.add_operation(l.LogTransform(['cover_sharpness']))
preprocessor.add_operation(l.ToNdarray()).add_operation(
preprocessing.StandardScaler())
preprocessor.with_pipeline('photo_cover').set_loader(photo_url_merger)
preprocessor.add_operation(l.Selector(['listing_id', 'photo_name']))
preprocessor.with_pipeline('ids').set_loader(
json_loader.select_loader('listing_id'))
preprocessor.add_operation(l.ToNdarray(dtype=np.int64))
generator = Generator(preprocessor,
{'photo_cover': l.PhotoLoaderGenerator()},
l.SeparateKey('response'))
return generator
state_bneck_out = states_bneck[c][1]
state_bneck_in = states_bneck[c + 1][0]
states_clique = [s for s in states_cliques[c] if s != state_bneck_out]
ENV.T[states_clique, state_bneck_out] = 1.
ENV.T[state_bneck_out, state_bneck_in] = 1.
state_bneck_out = states_bneck[-1][1]
state_bneck_in = states_bneck[0][0]
states_clique = [s for s in states_cliques[-1] if s != state_bneck_out]
ENV.T[states_clique, state_bneck_out] = 1.
ENV.T[state_bneck_out, state_bneck_in] = 1.
ENV.T[(ENV.T < 1) & (ENV.T > 0)] = eps
ENV.T = row_norm(ENV.T)
ENV.__name__ += '-anticlockwise'
# %%
GEN = Generator(ENV=ENV, jump_rate=jump_rate)
PROPd = Propagator(GEN=GEN, tau=tau_diff, alpha=alpha_diff)
PROPs = Propagator(GEN=GEN, tau=tau_supdiff, alpha=alpha_supdiff)
PROPo = Propagator(GEN=GEN, tau=tau_diff, alpha=alpha_diff)
PROPo.min_zero_cf(lags=lags_opt, rho_init=rho_init)
print('DIFF: average autotransition prob = %0.3f' % np.diag(PROPd.etO).mean())
print('SUPDIFF: average autotransition prob = %0.3f' %
np.diag(PROPs.etO).mean())
# %% SIMS
if run_explorer:
exp_eff_s = []
exp_eff_d = []
exp_eff_o = []
cov_visits_s = []
def getGenerator(self, options):
return Generator.Generator(self.processSignal, self.processShortSignal,
self.signalPipeline)
'state_lw': 0.5,
'traj_width': 0.5,
'traj_format': '-o',
'color_time': True,
'cmap_samp': 'husl',
'cmap_traj': plt.cm.cool
}
# SAMPLE CROSS-CORRELOGRAMS
ENV = LinearTrack(scale=scale_track)
if start == 'default':
ENV.start = ENV.start_center
else:
ENV.start = start
GEN = Generator(ENV=ENV, symmetrize=symmetrize, jump_rate=jump_rate)
# generate trajectories under diffusion (alpha) and turbulence (+ spectral noise)
PROPt = Propagator(GEN=GEN,
sigma=sigma,
tau=tau,
alpha=alpha_turb,
spec_noise=spec_noise)
PROPd = Propagator(GEN=GEN,
sigma=sigma,
tau=tau,
alpha=alpha_diff,
spec_noise=0.)
PROPd.plot_prop_kernels(n=6)
EXPt = Explorer(PROP=PROPt, rho_init=ENV.start, mass=mass, no_dwell=no_dwell)
EXPd = Explorer(PROP=PROPd, rho_init=ENV.start, mass=mass, no_dwell=no_dwell)
EXPt.set_viz_scheme(**kwargs)
def getGenerator(self, options):
return Generator.SumGenerator(self.processSignal,
self.processShortSignal,
self.innerPipeline, self.signalPipeline,
self.processSumSignals)
elif args.dec_type == 'gridrnn_dcnn':
from decoders import gridrnn_Decoder as Decoder
elif args.dec_type == 'hidden':
from decoders import Hidden_Decoder as Decoder
else:
from decoders import gridrnn_Decoder as Decoder
if args.d_type == 'dcgan':
from discriminators import DCGAN_discriminator as Discriminator
#elif args.d_type == 'hidden':
else:
from discriminators import Hidden_discriminator as Discriminator
#else:
#from discriminators import DCGAN_discriminator as Discriminator
generator = Generator(args)
decoder = Decoder(args)
discriminator = Discriminator(args)
if cuda:
generator.cuda()
discriminator.cuda()
decoder.cuda()
BCELoss.cuda()
MSELoss.cuda()
else:
print('models', generator, discriminator, decoder)
# Initialize weights
generator.apply(weights_init_normal)
discriminator.apply(weights_init_normal)
img_path = args.img
is_targeted = False
if target in range(0, 10):
is_targeted = True
# load target_model
f = getattr(target_models, model_name)(1, 10)
checkpoint_path_f = os.path.join('saved', 'target_models',
'best_%s_mnist.pth.tar' % (model_name))
checkpoint_f = torch.load(checkpoint_path_f, map_location='cpu')
f.load_state_dict(checkpoint_f["state_dict"])
f.eval()
# load corresponding generator
G = Generator()
checkpoint_name_G = '%s_target_%d.pth.tar' % (
model_name,
target) if is_targeted else '%s_untargeted.pth.tar' % (model_name)
checkpoint_path_G = os.path.join('saved', 'generators',
'bound_%.1f' % (thres), checkpoint_name_G)
checkpoint_G = torch.load(checkpoint_path_G, map_location='cpu')
G.load_state_dict(checkpoint_G['state_dict'])
G.eval()
# load img and preprocess as required by f and G
orig = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
img = orig.copy().astype(np.float32)
img = img[None, None, :, :] / 255.0
x = torch.from_numpy(img)