def relay(semaphore: mp.Semaphore, queue: mp.Queue, output_lock: mp.Lock,
bmsg: bytes, addr: tuple, relay_dict, recv_time: datetime):
semaphore.acquire()
bmsg = bytearray(bmsg)
header = DNSHeader(bmsg[:12])
header.aa = 1
bmsg = header.bmsg + bmsg[12:]
assert header.qdcount == 1
question = DNSQuestion(bmsg, offset=12)
with output_lock:
cprint(f'[{recv_time}][recv query {bytes_to_int(bmsg[:2])}]: {bmsg} from {addr}', fore='green', style='reverse')
cprint_header(header, fore='green')
cprint_question(question, fore='green')
if question.qname in relay_dict:
if relay_dict[question.qname] == '0.0.0.0':
header.rcode = 3
answer = header.bmsg + bmsg[12:]
mode = 'intercept '
elif question.qtype == 1:
answer = fake_bmsg(bmsg, relay_dict[question.qname])
mode = 'local resolve '
else:
answer = forward(bmsg)
if answer is None:
return
mode = 'relay msg '
else:
answer = forward(bmsg)
mode = 'relay msg '
queue.put((answer, addr, recv_time, mode))
semaphore.release()
def receiver(queue, socket_lock, output_lock, sock):
config_path = osp.join(osp.dirname(__file__), 'etc', 'config')
last_read_config_time = -1
semaphore = mp.Semaphore(7)
while True:
with socket_lock:
if osp.getmtime(config_path) > last_read_config_time:
last_read_config_time = osp.getmtime(config_path)
config_file = open(config_path)
relay_dict = {}
for line in config_file:
if len(line) == 1 and line[0] == '\n':
continue
addr, name = line.strip('\n').split(' ')
relay_dict[name] = addr
print(relay_dict)
config_file.close()
sock.settimeout(0.1)
try:
bmsg, addr = sock.recvfrom(1024)
mp.Process(target=relay, args=(semaphore, queue, output_lock,
bmsg, addr, relay_dict, datetime.now())).start()
except socket.timeout:
...
except ConnectionResetError:
cprint("ConnectionResetError", fore='red')
...
except Exception:
...
def bind(self):
try:
self.s.bind(self.addr)
print("INFO: Server %s:%s will run on - IP : %s, PORT : %s."%(cprint(self.name,'yellow',False),\
cprint(self.role,'sky',False),cprint(self.addr[0],'Green',False),cprint(self.addr[1],'Green',False)))
except Exception as e:
print("Bind Error.\n", e)
sys.exit()
def __init__(self):
# Credentials are now being stored in the ~/.aws folder where boto knows to look for them
# still need to find a better way to set them without having them in the repo
self.client = boto3.client('s3',
config=Config(signature_version='s3v4'))
self.BUCKET = BUCKET
cprint('Using bucket: %s' % self.BUCKET, 'info')
def create_mem(self, name, size):
if os.path.exists(self.mem_dir + name):
utils.cprint("mem_handlers", "create_mem",
"memory file " + name + " exists. Will replace!")
os.remove(self.mem_dir + name)
buf_fd = open(self.mem_dir + name, 'w+b')
buf_fd.seek(size - 1)
buf_fd.write(b'\0')
buf_fd.close()
def print_actions (to_process, ACTION):
print()
cprint(('<White>Here are the modifications that will be done</White> '
'(action will be <Magenta>{}</Magenta>):').format(ACTION),
end='\n\n')
for i in range(len(to_process)):
print(os.path.basename(to_process[i].source))
cprint('<Magenta>--></Magenta> <White>{}</White>'.format(to_process[i].new_name))
if len(to_process) == 0:
print('Nothing to do :-(')
def print_title ():
"""
Prints the title.
"""
cprint('''<White>################################################################################
## </White><Magenta>___</Magenta><White> ##
## </White><Magenta>_ _ __ _ __| _ \\</Magenta><White> ##
## </White><Magenta>| || / _` (_-< /</Magenta><White> ##
## </White><Magenta>\_, \__,_/__/_|_\\</Magenta><White> ##
## yet an-</White><Magenta>|__/</Magenta><White>-other series renamer ##
## v1.0-alpha ##
################################################################################
</White>''')
def render(self, mode='human'):
if mode is not 'human':
print(self.pos)
return
for x in range(self.shape[0]):
for y in range(self.shape[1]):
end = " " if y < self.shape[0] - 1 else ""
bg_color = self.altitude_colors[self.altitudes[x][y]]
color = "white" if bg_color == "black" else "black"
if self.pos == (x, y):
cprint(" P ", "red", bg_color)
else:
cprint(f" {self.altitudes[x][y]} ", color, bg_color)
print()
def store(self, filename_keyword):
"""Store collected data in (hard) disk:
Dump data to \data\proxy\%filename_keyword%_%time%.pkl
Save data as txt to \data\proxy\%filename_keyword%_%time%.pxy
"""
if not os.path.exists('data'):
os.mkdir('data')
if not os.path.exists('data\proxy'):
os.mkdir('data\proxy')
tag = time.strftime('%Y%m%d%H%M%S')
filename_pkl = '%s_%s.pkl' % (filename_keyword, tag)
try:
output_pkl = open('data\proxy\%s' % filename_pkl, 'wb')
except IOError as errinfo:
cprint(self, 'Proxy data dump failed: %s' % errinfo)
return
with output_pkl:
cPickle.dump(self.proxyinfo, output_pkl , cPickle.HIGHEST_PROTOCOL)
cprint(self, 'Proxy data save to data\proxy\%s' % filename_pkl)
filename_pxy = '%s_%s.pxy' % (filename_keyword, tag)
try:
output_pxy = open('data\proxy\%s' % filename_pxy, 'w')
except IOError as errinfo:
cprint(self, 'Proxy data save failed: %s' % errinfo)
return
with output_pxy:
for i in range(len(self.proxyinfo.values())):
output_pxy.write("%s:%s\n" %
(self.proxyinfo.values()[i]['ip'],
self.proxyinfo.values()[i]['port']))
cprint(self, 'Proxy data save to data\proxy\%s' % filename_pxy)
def visualize(self, step, ax=None):
scores = np.array([each.fitness_score() for each in self.population])
best_individual = self.population[scores.argmin()]
best_fit = best_individual.fitness_score(0)
feasibility = best_individual.total_violation()
if ax is None and len(plt.get_fignums()) == 0:
fig, (ax0, ax1) = plt.subplots(1, 2)
else:
ax0, ax1 = plt.gcf().get_axes()
best_individual.visualize(ax=ax0, title=f'best fit ({best_fit:6.2f})')
utils.cprint(
f'step [y]{step}[w], best score: [y]{best_individual.fitness_score(0):.5} ({feasibility})[w] mean score: [y]{scores.mean():.5}. [w]Penalty multiplier is[y] {float(self.penalty_multiplier):.3}'
) # noqa
plt.pause(0.05)
def backsender(queue: mp.Queue, socket_lock: mp.Lock, output_lock: mp.Lock, sock: socket.socket):
while True:
with socket_lock:
sock.settimeout(5)
for answer_count in range(queue.qsize()):
if queue.qsize() <= 0:
break
answer, addr, recv_time, mode = queue.get()
if answer is None:
continue
with output_lock:
cprint(f'[{datetime.now()}][{mode}{bytes_to_int(answer[:2])}]: {answer}', fore='cyan', style='reverse')
answer = parse_msg(answer, fore='cyan')
sock.sendto(answer, addr)
send_time = datetime.now()
time_cost = send_time - recv_time
with output_lock:
cprint(f'[{send_time}][time cost {bytes_to_int(answer[:2])}]: {time_cost}', fore='blue', style='reverse')
def find_target_portfolio(self, exchange):
'''
populates `self.target_portfolio` of weights that the agent will
try to reach.
'''
self.target_portfolio = {}
for sector, g in itertools.groupby(exchange.portfolio.get_stocks(),
lambda x: x.company.sector):
g = np.array(list(g)) # make a array, so it can be reused
pe_values = [tu.get_historical_pe(stock,
orderbook=exchange.orderbooks[stock],
periods=self.theta,
decay=1) for stock in g]
pe_values = np.array(pe_values)
mean_pe = np.mean(pe_values)
long_indices = np.argwhere(pe_values < mean_pe).flatten()
weights = np.random.uniform(0, np.maximum(0, pe_values - mean_pe))
# weights = np.random.uniform(size=long_indices.size)
# print(pe_values)
import utils
utils.cprint(f'mean: {mean_pe:.2f} ' + ' '.join(['{}{:.2f}'.format('[g]' if e < mean_pe else '[r]', e) for e in pe_values]))
short_stocks = np.array(g)[~long_indices]
long_stocks = np.array(g)[long_indices] # get those we will go long
for stock, weight in zip(long_stocks, weights):
self.target_portfolio[stock] = weight
for stock in short_stocks:
self.target_portfolio[stock] = 0.0
# import ipdb; ipdb.set_trace()
V = sum(self.target_portfolio.values())
if V == 0: return # in this special case, all are above mean.
self.target_portfolio = {k: v / V for (k, v) in self.target_portfolio.items()}
X = np.array(list(self.target_portfolio.values()))
def start(player_turn=1):
state = State()
screen = Screen()
agent = Agent()
agent_turn = 3 - player_turn
while not state.winner():
screen.render(state)
if state.turn == agent_turn:
choice = agent.choice(state, agent_turn)
try:
state.move(choice)
except ValueError:
cprint('Invalid position, AI is broken!', RED)
input()
continue
elif state.turn == player_turn:
inp = input()
if inp == '':
continue
inp = int(inp)
if inp < 1 or inp > 9:
cprint('Invalid position', RED)
input()
continue
pos = map_move[inp]
try:
state.move(pos)
except ValueError:
cprint('Invalid position', RED)
input()
continue
screen.render(state)
winner = state.winner()
if winner == -1:
cprint(f'Tie!\n', YELLOW)
else:
cprint(f'Player {winner} wins!\n', GREEN)
async def paywalls(self, ctx, *args):
if args[0] == "add":
# Add new domains to list of paywalled domains
# Format: `!paywalls add DOMAIN_1 DOMAIN_2 ... DOMAIN_n` will add DOMAIN_1 thru DOMAIN_n to list
# of paywalled sites and respond with a confirmation message.
self.paywalled_sites = list(set(self.paywalled_sites).union(set(args[1:])))
with open("paywalled", "w") as file:
sites = "\n".join(self.paywalled_sites)
file.write(sites)
await ctx.send(
"**Added the following domains:**" + "\n" + cprint(args[1:])
)
elif args[0] == "list":
# List all paywalled sites currently tracking
# Format: `!paywalls list` will list all paywalled sites
await ctx.send(
"**Paywalled sites:**" + "\n" + cprint(sorted(self.paywalled_sites))
)
elif args[0] == "delete":
# Delete domains to list of paywalled domains
# Format: `!paywalls delete DOMAIN_1 DOMAIN_2 ... DOMAIN_n` will add DOMAIN_1 thru DOMAIN_n to list
# of paywalled sites and respond with a confirmation message.
self.paywalled_sites = list(
set(self.paywalled_sites).difference(set(args[1:]))
)
with open("paywalled", "w") as file:
sites = "\n".join(self.paywalled_sites)
file.write(sites)
await ctx.send(
"**Deleted the following domains:**" + "\n" + cprint(args[1:])
)
elif args[0] == "link":
# Manually link to archive.is
# Format: `!paywalls link URL` will link to archive.is/URL
if url_validator([args[1]]):
await ctx.send(f"https://www.archive.is/{args[1]}")
else:
await ctx.send(f"**{args[1]}** is an invalid url.")
def __init__(
self,
*,
density_fn: Callable,
num_samples: int,
init_weights: List[float] = None,
):
self.density_fn = density_fn
if init_weights is None:
cprint("Initializing samples weights...")
self.weights = [density_fn(1, 0.5) for _ in range(num_samples)]
else:
cprint("Using obtained weights...")
self.weights = init_weights
if len(self.weights) < num_samples:
diff = num_samples - len(self.weights)
cprint(f"Extending weights by {diff} samples...")
self.weights += [density_fn(1, 0.5) for _ in range(diff)]
if len(self.weights) > num_samples:
diff = len(self.weights) - num_samples
cprint(f"Shrinking weights by {diff} samples...")
self.weights = self.weights[:num_samples]
cprint("Samples weights initialized!")
def choice(self, state: State, turn: int):
# Minimax decision
choices = state.choices()
random.shuffle(choices)
best_move, best_value = 0, -2
percent = 0
for i, choice in enumerate(choices):
new_state = state.clone()
new_state.move(choice)
child_value = self.min_value(new_state, turn)
percent += 100 / len(choices)
cprint(f'Thinking... {percent}%\n', CYAN)
if child_value > best_value:
best_value = child_value
best_move = choice
if best_value > 1000:
cprint('mmmm... I\'m about to win :)\n', YELLOW)
input()
return best_move
def check_action (self):
available_actions = [a[:-6] for a in dir(action) if re.match('[^_].*Action', a)]
print()
cprint('Actions available: ', 'white', attrs=['bold'])
for act in available_actions:
print(' - ' + act)
print()
if 'action' in PARAMS:
ACTION = PARAMS['action']
log.ok('Found action in parameters: %s.' % ACTION)
else:
log.info('No action found in parameters. Asking user.')
ACTION = cinput('Enter action')
while ACTION not in available_actions:
log.warn('Action not available: %s.' % ACTION)
ACTION = cinput('Enter action')
log.ok('Action available.')
PARAMS['action'] = ACTION
save_params()
def frPath(start_thread,goal_thread,T,s_t = None):
global matlab
matlab = Wormhole()
# generate a sequence of fantasy states Sf
# minimize energy to get Sr
# calculate jacobians
# solve linear prob for changes in u
#s_start = calcFeats(start_thread.getXYZ().flatten())
s_start = start_thread.getConstraints()
#s_goal = calcFeats(goal_thread.getXYZ().flatten())
s_goal = goal_thread.getConstraints()
#s_t = ndinterp(linspace(0,1,T),np.r_[s_start,s_goal],[0,1])
if s_t is None: s_t = ndinterp(np.linspace(0,1,T),[0,1],np.array([s_start,s_goal]))
#import mayavi.mlab as mlab
for i in xrange(10):
#fwd_states1,_ = calcStatesJacs(start_thread,s_t)
#fwd_states2 = calcStates(start_thread,s_t)
#print np.linalg.norm(fwd_states1-fwd_states2)
#rev_states1,_ = calcStatesJacs(goal_thread,s_t[::-1])
#rev_states2 = calcStates(goal_thread,s_t[::-1])
#print np.linalg.norm(rev_states1-rev_states2)
print "forwards"
fwd_states,fwd_jacs = calcStatesJacs(start_thread,s_t)
print "backwards"
rev_states,rev_jacs = [li[::-1] for li in calcStatesJacs(goal_thread,s_t[::-1])]
#fwd_jacs = [jacobian(state) for state in fwd_states]
#rev_jacs = [jacobian(state) for state in rev_states]
#mlab.clf()
#for s in fwd_states:
#x,y,z = s.reshape(3,-1)
#mlab.plot3d(x,y,z,tube_radius=.1,color=(1,0,0))
#mlab.points3d(x[[0,-1]],y[[0,-1]],z[[0,-1]],.5*np.ones(2),scale_factor=1,color=(1,1,1))
#mlab.show()
diff_states = fwd_states - rev_states
#print "diff", evalDiff(start_thread,goal_thread,s_t)
cprint("states diff: %.2f"%np.linalg.norm(diff_states),"blue")
cprint("jac diff: %.2f"%np.linalg.norm((fwd_jacs - rev_jacs).flatten()),"blue")
cprint("end error: %.2ef"%np.linalg.norm(diff_states[-1]),"blue")
#ds_t = frLinear(diff_states,fwd_jacs,rev_jacs)
ds_t = frLinear2(diff_states,fwd_jacs - rev_jacs,s_t)
step_sizes = np.array([-.5,-.1,.01,.1,.5,1])
dists = [evalDiff(start_thread,goal_thread,s_t+step*ds_t) for step in step_sizes]
print "dists",dists
best_step = step_sizes[np.argmin(dists)]
s_t += best_step*ds_t
print "best step",best_step
if i in [0,9]: fb(fwd_states.reshape(T,3,-1),goal_thread.getXYZ()).start()
def crawl(self, save = True):
"""Crawl necessary info from nntime.com
Regular expression pattern and decrypt encrypted-port code
maybe change depend on url source
- if param save set to False, collected info will not be saved in memory
Here's a simply explanation for decrypt encrypted-port:
Ports at nntime are encrypted as fake random-string,
as it random - String is really random
as it fake - same number at per page is same random string
So we can find regular pattern at those string
Key:
1.Per ip:port slot has specific string, and that string has
port value at bottom.
2.Each single number at port itself is encrypted as '+alpha'
3.So that we can get len of encrypted port and capture the
real port by Key.1
"""
ProxySpider.crawl(self)
p_port1 = re.compile(r'value="([0-9.]{0,36})" onclick', re.DOTALL)
p_port2 = re.compile(r'\(":"([a-zA-Z+]{0,8})\)', re.DOTALL)
p_ip = re.compile(r'</td><td>([0-9.]{0,16})<script', re.DOTALL)
for link in self.links:
self.view(link)
#get decrypt port
encrypt_ports1 = [
port1.group(1) for port1 in re.finditer(p_port1, self.cont)]
encrypt_ports2 = [
port2.group(1) for port2 in re.finditer(p_port2, self.cont)]
ports = []
for i in range(len(encrypt_ports1)):
if len(encrypt_ports2) != len(encrypt_ports1):
cprint(self, 'Port crawled odd,')
cprint(self, 'may occur some issues')
pause()
ports.append(encrypt_ports1[i][-len(encrypt_ports2[i])/2:])
#get ip
ips = [ip.group(1) for ip in re.finditer(p_ip, self.cont)]
#exception tick
if len(ips) != len(ports):
cprint(self, 'Port&IP collected amount is different,')
cprint(self, 'may occur some issues')
pause()
if not save is False:
self.save_collected(ips, ports)
def list_all_styles(all_models, base_url, years):
'''
- all_styles {make: models}
- models [model1, model2, ...]
- model {name: 'name', year: styles}
- styles [style1, style2, ...]
- style {'name', 'id', 'attr1', 'attr2', ...}
'''
all_styles = {}
for make in all_models:
models = []
for m in all_models[make]:
model_name = m.get('name')
model = {}
model['name'] = model_name
for year in years:
url = '{}{}/{}/{}/styles/?intent=buy-used'.format(base_url, make, model_name, year)
try:
page = urllib.urlopen(url)
except:
cprint("Failed to open url: {}".format(url), 'err')
continue
soup = BeautifulSoup(page, 'lxml')
if page_not_found(soup):
cprint("Model {} {} {} does not exist".format(year, make, model_name), 'r')
continue
cprint("Retrive style for {} {} {}".format(year, make, model_name), 'g')
styles = []
style_containers = soup.find_all('div', {'class': 'vehicle-styles-container'})
for sc in style_containers:
style = {}
for t in sc.contents:
if div_class_vehicle_style_head(t):
link = t.a['href']
style['url'] = link
style['name'] = t.div.text.strip(' \r\n\t')
style['id'] = parse_qs(urlparse(link).query)['vehicleid'][0]
if div_class_vehicle_style_body(t):
for tr in t.table.find_all('tr'):
tds = tr.find_all('td')
style[tds[0].text] = tds[1].text
if not style.get('name') is None:
styles.append(style)
model[year] = styles
models.append(model)
all_styles[make] = models
return all_styles
def save_files(files, basedir, verbose=True):
saved = 0
for f in files:
filename = basedir + "/" + f['name']
mode = f.get('mode', '644')
try:
if os.path.exists(filename):
os.chmod(filename, 0o644)
verbose and cprint(LGREEN, "W %s" % filename)
save_file(filename, f['content'], mode)
saved += 1
except IOError as e:
cprint(LRED, e)
cprint(LRED, "Failed saving file: '%s'" % f['name'])
except OSError as e:
cprint(YELLOW, e)
cprint(LRED, "Failed setting file mode: '%s'" % f['name'])
return saved
def read_specification(filename=None, verbose=False):
# deal with a custom specification file name
if filename:
_assert(os.path.exists(filename), "File %s not found" % filename)
cprint(LCYAN, "Reading specification file: %s" % filename)
return JsonFile(filename, array2map="tests")
# deal with default specification file names
tstyaml_exists = os.path.exists('tst.yaml')
tstjson_exists = os.path.exists('tst.json')
if verbose and tstyaml_exists and tstjson_exists:
cprint(YELLOW, "Found both tst.yaml and tst.json: using tst.yaml")
if tstyaml_exists:
try:
specification = JsonFile('tst.yaml', array2map="tests")
except CorruptedJsonFile:
_assert(False, "Corrupted specification file")
return specification
elif tstjson_exists:
try:
specification = JsonFile('tst.json', array2map="tests")
except CorruptedJsonFile:
_assert(False, "Corrupted specification file")
return specification
# neither tst.yaml, nor tst.json exist
candidates = glob.glob("*.yaml")
if len(candidates) == 0:
candidates = glob.glob("*.json")
if len(candidates) == 1:
cprint(YELLOW, "Using %s as specification file" % candidates[0])
try:
specification = JsonFile(candidates[0], array2map="tests")
except:
_assert(False, "Invalid specification file")
return specification
cprint(LRED, "No tst tests found")
sys.exit(1)
def save_assignment(activity, dir_name, etag, url, repo):
# move into directory
os.chdir(dir_name)
# save the original activity data
dirname = './.tst'
if not os.path.exists(dirname):
os.makedirs(dirname)
with codecs.open('./.tst/activity.json', mode='w', encoding='utf-8') as f:
f.write(data2json({
"url": url,
"name": activity.get('name'),
"activity": activity,
"etag": etag,
"repo": repo,
"updated_at": dt.datetime.utcnow().isoformat().split(".").pop(0) + "Z"
}))
# save activity files
files = activity['files']
for file in files:
if os.path.exists(file['name']):
contents = open(file['name']).read().decode('utf-8')
if contents != file['data']:
cprint(LRED, "skipping modified file: '%s' (use --overwrite)" % file['name'])
else:
cprint(RESET, "skipping unmodified file: '%s'" % file['name'])
continue
try:
with codecs.open(file['name'], mode='w', encoding='utf-8') as f:
f.write(file['data'])
cprint(LCYAN, "Adding file '%s'" % file['name'])
except:
print("tst: fatal: Can't save file '%s'" % file['name'], file=sys.stderr)
sys.exit(1)
def solve_tsp(X,
start_index=None,
circular_indices=False,
run_2_opt=False,
plot=False,
verbose=False):
'''
X: np.array of shape (N, 2) where each row corresponds to a xy-coordinate.
start_index: Boolean, if True then start with `start_index` in the return value
run_2_opt: Boolean, run additional tweaking to tsp. Takes some more time
plot: Boolean, if True then shows a plot of the TSP
verbose: Boolean, if True then adds a tqdm progress bar. Nice for large problems
returns: np.array of shape (N,) with unique elements, each being an index to
one of the rows.
Example:
X = array([[85, 7],
[19, 69],
[99, 50],
[ 4, 2],
[66, 6],
[42, 86],
[70, 82],
[76, 67],
[57, 7],
[55, 39]])
returns array([8, 4, 1, 2, 3, 6, 7, 9, 8]) (for example)
'''
'''
pt. 1: Insertion heuristic (convex hull)
'''
if X.shape[0] <= 3:
# utils.cprint('[y]Warning: cannot solve TSP; too few points. Aborting')
return np.hstack((np.arange(X.shape[0]), 0))
# return np.arange(X.shape[0])
try:
hull = ConvexHull(X)
except:
utils.cprint('[y]Warning: cannot solve TSP; too few points. Aborting')
return np.arange(X.shape[0])
D = utils.all_euclidean_dist(X)
all_vertices = np.arange(X.shape[0])
unvisited = np.setdiff1d(all_vertices, hull.vertices)
vertices = np.hstack((hull.vertices, hull.vertices[0]))
def cheapest_insertion(i, seq):
'''
returns (cost, j, k)
where cost, int -- the cost of the insertion (positive is bad)
j, int -- the index of the element that will go to j
k, int -- the index of the element that i will go to
(so we end up with something like this: ... -> j -> i -> k -> ...
'''
L = []
for j, k in zip(seq, seq[1:]):
old_edge = utils.euclidean_dist(X[[j, k]])
new_edge = D[j, i] + D[i, k]
cost = -old_edge + new_edge
L.append((cost, j, k))
return min(L, key=lambda x: x[0])
if verbose:
pbar = tqdm(total=len(unvisited))
while len(unvisited) > 0:
if verbose:
pbar.update(1)
data = []
for i in unvisited:
distances = D[i, np.setdiff1d(all_vertices, unvisited)]
min_distance = distances.min()
idx = D[i, :] == min_distance
cost, j, k = cheapest_insertion(i, vertices)
data.append((cost, j, i, k))
cost, j, i, k = min(data, key=lambda x: x[0])
idx = np.argwhere(vertices == j)[0][0]
vertices = np.hstack((vertices[:idx + 1], i, vertices[idx + 1:]))
unvisited = utils.delete_by_value(unvisited, i)
if verbose:
pbar.close()
'''
pt. 2 -- tour improvement
'''
if plot:
if not plt.fignum_exists(1):
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.plot(X[:, 0], X[:, 1], '.')
else:
ax1, ax2 = plt.gcf().get_axes()
ax1.cla()
ax2.cla()
ax1.plot(X[vertices, 0], X[vertices, 1], 'r--', alpha=0.3, label='pt1')
ax1.plot(X[vertices[0], 0], X[vertices[0], 1], 'ro')
ax1.set_title('at step 1')
if run_2_opt:
def two_opt(i, k, seq):
new_seq = seq[:i + 1], seq[k:i:-1], seq[k + 1:]
return np.hstack(new_seq)
best_cost = D[vertices[:-1], vertices[1:]].sum()
for i, j in itertools.combinations(np.arange(1, len(vertices) - 1), 2):
# iterate for every combinations, except start and ending point
new_path = two_opt(i, k, np.array(vertices, copy=True))
cost = D[new_path[:-1], new_path[1:]].sum()
if cost < best_cost:
if verbose:
print('hey found shorter')
vertices = np.array(new_path, copy=True)
best_cost = cost
if plot:
ax1.plot(X[:, 0], X[:, 1], '.')
ax1.plot(X[vertices, 0], X[vertices, 1], 'g--', alpha=0.3, label='pt2')
ax1.plot(X[vertices[0], 0], X[vertices[0], 1], 'ro')
# get rid of the 'end' of the path, because we know it's the same as the first
n_points = X.shape[0]
# import ipdb; ipdb.set_trace()
# vertices = utils.delete_by_value(vertices, n_points-1)
if start_index is not None:
if start_index == vertices[0]:
pass
else:
'''
example:
vertices = [6, 7, 0, 5, 2, 4, 8, 3, 9, 1, 6]
start_index = 3
--> vertices = [3, 9, 1, 6, 7, 0, 5, 2, 4, 8, 3]
'''
idx = np.argwhere(vertices == start_index)[0][0]
vertices = np.concatenate((vertices[idx:-1], vertices[:idx + 1]))
pass
if circular_indices:
return np.hstack((vertices, vertices[0]))
else:
return vertices
daemon_msg = "Not Running."
out, err = utils.check_pidfile(DAEMON_PIDFILE)
if not err:
daemon_msg = "Running. PID(s): %s" % str(out)
# logging
import logging
log = logging.getLogger(__name__)
out_hdlr = logging.StreamHandler(sys.stdout)
out_hdlr.setFormatter(logging.Formatter('%(asctime)s %(message)s'))
out_hdlr.setLevel(logging.INFO)
log.addHandler(out_hdlr)
log.setLevel(logging.INFO)
print("\n".join([
r"##############################################################",
r"# _ _ #",
r"# _ __ ___ ___ __ _ __ _ ___ ___| |__ ___ __| | #",
r"# | '_ ` _ \ / _ \/ _` |/ _` | / __|/ __| '_ \ / _ \/ _` | #",
r"# | | | | | | __/ (_| | (_| | \__ \ (__| | | | __/ (_| | #",
r"# |_| |_| |_|\___|\__, |\__,_| |___/\___|_| |_|\___|\__,_| #",
r"# |___/ #",
r"#------------------------------------------------------------#",
]))
print("#", utils.cprint("MegaTools: ", megatools_status()), megatools_msg)
print("#", utils.cprint("Scheduler: ", daemon_status()), daemon_msg)
print("##############################################################\n")
# do cli stuff
cli()
def __init__(self):
utils.cprint("mem_handlers", "__init__", "inputs=self:" + str(self))
self.mem_dir = 'memories/'
parser.add_argument("--length", type=int)
parser.add_argument("--on_cuda",
type=bool,
default=False,
const=True,
nargs="?")
parser.add_argument("--gripper", type=str)
parser.add_argument("--aux_gripper", type=str)
parser.add_argument("--forces", type=str)
parser.add_argument("--thrower", type=str)
parser.add_argument("--workdir_path", type=str)
parser.add_argument("--output_path", type=str)
args = parser.parse_args()
if args.forces is not None:
args.forces = json.loads(args.forces)
cprint(args)
os.makedirs(args.output_path, exist_ok=False)
gripper = get_gripper_by_name(args.gripper)
thrower = get_thrower_by_name(args.thrower)
gripper.load(os.path.join(args.workdir_path, "gripper"))
thrower.load(os.path.join(args.workdir_path, "thrower"))
image_transformer = load_obj(
os.path.join(args.workdir_path, "image_transformer"))
aux_grippers: List[AuxGripperModule] = []
if not args.forces:
aux_gripper = get_aux_gripper_by_name(args.aux_gripper)
aux_gripper.load(os.path.join(args.workdir_path, "aux-gripper"))
aux_grippers.append(aux_gripper)
def _na(self, desc_rows=10):
cprint("\n1. 统计缺失率...")
self.s_na = self.df.isnull().sum()[lambda x: x > 0].sort_values(0, False) \
/ self.df.__len__() * 100
print(self.s_na.head(desc_rows))
def request(self, method, path, headers={}, payload=None, exit_on_fail=False):
curl_command = [
'curl',
'-q', # don't use ~/.curlrc (must be first arg)
'-X', method.upper(), # http verb
'-v', # be verbose: print report to stderr
'-s', # don't print progress meter
'-L' # follow redirects
]
headers['TST-CLI-Release'] = self.config.get('release', 'unknown')
if 'Authorization' not in headers:
headers['Authorization'] = 'Bearer %s' % self.token
for hname, hvalue in headers.items():
curl_command.append('-H')
curl_command.append('%s: %s' % (hname, hvalue))
url = self.config['url'] + path
curl_command.append(url)
if payload is not None:
curl_command.append('-d')
data = "%s" % json.dumps(payload)
curl_command.append(data)
signal.alarm(20000) # timeout in seconds
process = Popen(curl_command, stdout=PIPE, stderr=PIPE)
try:
stdout, stderr = map(to_unicode, process.communicate())
signal.alarm(0) # reset alarm for future use...
process.wait()
except: # timeout!!!
process.terminate()
raise
# raw data
response = self.Response()
response.stderr = stderr
response.stdout = stdout
response.exit_status = process.returncode
# curl messages
lines = [l[2:] for l in stderr.splitlines() if l and l[0] == '*']
response.curl_messages = "\n".join(lines)
# request headers
lines = [l[2:] for l in stderr.splitlines() if l and l[0] == '>']
response.request_headers = "\n".join(lines)
# response headers
lines = [l[2:] for l in stderr.splitlines() if l and l[0] == '<']
response.headers = "\n".join(lines)
if not response.headers:
if exit_on_fail:
msg = "tst: can't connect to server"
_assert(False, msg)
raise ConnectionFail("can't connect to tst online")
# body
response_lines = response.headers.splitlines()
response.status_code = None
for i in xrange(len(response_lines)-1, -1, -1):
if response_lines[i].startswith("HTTP"):
status_line = response_lines[i]
response.status_code = int(status_line.split()[1])
break
# exit_on_fail
if exit_on_fail and not (200 <= response.status_code < 300):
msg = 'Request to server failed'
try:
data = json.loads(response.stdout)
if 'messages' in data and type(data['messages'] == list):
msg += "\nServer message: " + str(data['messages'][0])
except:
data = {}
msg += ('\n' + "Couldn't parse server response")
cprint(LRED, msg)
if 'messages' in data and data['messages'][0] == 'invalid token':
print("---")
print("Use `tst login` to log in to the server")
sys.exit(1)
response.body = stdout if response.status_code else None
return response
def test(self, ss):
cprint(ss, 'red')
def retrieve_prices_by_compare(all_styles, compare_url, years, out_dir):
'''
- all_styles {make: models}
- models [model1, model2, ...]
- model {name: 'name', year: styles}
- styles [style1, style2, ...]
- style {'name', 'id', 'attr1', 'attr2', ...}
(this function adds 'price' attr to it)
'''
if not os.path.exists(out_dir):
os.makedirs(out_dir)
for make in all_styles:
models = all_styles[make]
for model in models:
model_name = model.get('name')
if model_name is None:
cprint("Empty model name in list for make {}".format(make),
'err')
continue
for year in years:
styles = model.get(year)
if styles is None:
continue
for style in styles:
vehicle_id = style.get('id')
if vehicle_id is None:
if style.get('name') is None:
cprint(
"Empty vehicle id for {} {} {} UNKNOWN TYPE".
format(year, make, model_name), 'r')
else:
cprint(
"Empty vehicle id for {} {} {} style {}".
format(year, make, model_name,
style['name']), 'r')
continue
url = '{}{}-{}-{}-{}/'.format(compare_url, year, make,
model_name, vehicle_id)
try:
page = urllib.urlopen(url)
except:
cprint("Failed to open url: {}".format(url), 'err')
continue
soup = BeautifulSoup(page, 'lxml')
if page_not_found(soup):
cprint(
"Compare page for {} {} {} {} does not exist".
format(year, make, model_name, vehicle_id), 'r')
continue
for td in soup.find_all('td', {'class': ''}):
spans = td.find_all('span')
if len(spans) == 2 and spans[
0].text == 'KBB Suggested Retail':
style['price'] = spans[1].text
cprint(
"Suggested price {} for {} {} {} style {}".
format(style['price'], year, make, model_name,
style['name']), 'g')
cprint("Saving data for make {}".format(make), 'hi')
out_file = out_dir + make + '.json'
dump_to_json(all_styles[make], out_file)
)
throw_loss = run_offline(
sampler=construct_sampler(sampling_name="shuf",
dataset=tra_dataset,
batch_size=2,
num_workers=0),
gripper=heur_gripper,
aux_gripper=aux_gripper,
thrower=thrower,
train=True,
lr=(0.1 if epoch_idx < 100 else 0.001),
)
cprint(
"epoch_idx=",
epoch_idx,
"| grip_loss=",
grip_loss,
"| throw_loss=",
throw_loss,
)
gripper.save("/tmp/grip-and-throw/example_gripper")
thrower.save("/tmp/grip-and-throw/example_thrower")
gripper.load("/tmp/grip-and-throw/example_gripper")
thrower.load("/tmp/grip-and-throw/example_thrower")
eval_dataset = generate_data(
gripper=gripper,
aux_gripper=aux_gripper,
thrower=thrower,
image_transformer=image_transformer,
async def on_message(message: Message):
global paywalled_sites # include list of paywalled site inside this function
global last_check_in
#rate limiter
if message:
try:
#TODO: Put some random fuzz on the checkin timedelta
#TODO: Lower the checkin time delta based on the subsequent frequency
if not last_check_in or last_check_in < (message.created_at -
timedelta(seconds=60)):
#grab the non-bot members
memb_ls = [
m async for m in message.guild.fetch_members(limit=None)
if not m.bot
]
#grab the last ten minutes of messages, up to 600 messages
last_check_in = message.created_at
ten_min_ago = message.created_at - timedelta(seconds=600)
messages = await message.channel.history(
limit=600, after=ten_min_ago).flatten()
#get the history of message authors who aren't bots
human_authors_history = [
m.author for m in messages if m.author in memb_ls
]
#get the unique authors
human_author_set = set(human_authors_history)
#if two users are talking
prefix = None
if len(human_author_set) == 2:
prefix = f"{list(human_author_set)[0].mention} and {list(human_author_set)[1].mention} are "
#if one user is talking to themself
elif len(human_author_set) == 1:
prefix = f"{list(human_author_set)[0].mention} is "
if prefix:
if len(messages) > 100:
await message.channel.send(prefix +
"going at it. Wow!")
if len(messages) > 200:
await message.channel.send(
prefix + "getting into some serious behavior.")
if len(messages) > 300:
await message.channel.send(prefix +
"setting a record!")
if len(messages) > 400:
await message.channel.send(prefix +
"very serious about this!")
if len(messages) > 500:
await message.channel.send(prefix +
", shut up. Please.")
except:
pass
if message.content.startswith('!paywall'):
# Manually link to archive.is
# Format: `!paywall URL` will link to archive.is/URL
words = message.content.split(" ")
await message.channel.send(f"https://www.archive.is/{words[1]}")
if and_includes(message.content, 'thank', 'soros'):
# Responds to Sal when he says 'Thanks Soros'
# (note: not antisemitic joke, used to mock the antisemitic globalist Soros stories)
await message.channel.send(
'No problemo buckaroo, anything for a fellow reptile.')
if and_includes(message.content, 'who', 'horrible'):
# You know what this does
await message.channel.send(f"Why, {message.author.mention} of course!")
if or_includes(message.content, 'socialis', 'communis'):
# You know what this does
await message.channel.send(f"AJ is the real commie here!")
if or_includes(message.content, 'shane', 'metricity',
'the best') and (message.author != client.user):
await message.channel.send(f"Shane really is the best.")
if or_includes(message.content, "suck",
"sux") and (message.author != client.user):
# ya know what this does too
await message.channel.send("You know what else sucks? Salex Bexman.")
if url_validator(message.content):
# Checks if message is a valid URL and a paywalled domain. If it is, returns the archive.is link.
raw_url = message.content
url = tldextract.extract(message.content)
if url.domain in paywalled_sites:
await message.channel.send(f"https://www.archive.is/{raw_url}")
if message.content.startswith('!add'):
# Add new domains to list of paywalled domains
# Format: `!add DOMAIN_1 DOMAIN_2 ... DOMAIN_n` will add DOMAIN_1 thru DOMAIN_n to list
# of paywalled sites and respond with a confirmation message.
new_paywalls = message.content.split(" ")[1:]
paywalled_sites += new_paywalls
paywalled_sites = list(set(paywalled_sites))
paywalled_sites = [i for i in paywalled_sites if i != ""]
with open('paywalled', 'w') as file:
sites = "\n".join(paywalled_sites)
file.write(sites)
await message.channel.send('**Added the following domains:**' +
"\n" + cprint(new_paywalls))
if message.content.startswith('!delete'):
# Delete domains to list of paywalled domains
# Format: `!add DOMAIN_1 DOMAIN_2 ... DOMAIN_n` will add DOMAIN_1 thru DOMAIN_n to list
# of paywalled sites and respond with a confirmation message.
new_paywalls = message.content.split(" ")[1:]
paywalled_sites = [i for i in paywalled_sites if i not in new_paywalls]
with open('paywalled', 'w') as file:
sites = "\n".join(paywalled_sites)
file.write(sites)
await message.channel.send('**Deleted the following domains:**' +
"\n" + cprint(new_paywalls))
if message.content.startswith("!list paywalls"):
# Displays list of all sites on the current paywall list
await message.channel.send("**Paywalled sites:**" + "\n" +
cprint(sorted(paywalled_sites)))
if message.content.startswith("!test"):
await message.channel.send(
"Stop spamming the f*****g chat with your damn tests u chode.")
if message.content.startswith("!gif"):
async with message.channel.typing(
): #makes the channel say the bot is typing
scope = 1
melee = False
num_gifs = 1
parsed = message.content.split(" ")
if parsed[1] == 'melee':
melee = True
stripped = [strip(word) for word in parsed[2:]]
else:
stripped = [strip(word) for word in parsed[1:]]
search = "+".join(stripped)
try:
scope_str = parsed[0][4:]
scope = int(scope_str)
if melee:
num_gifs = scope
except:
pass
choice = random.randint(1, scope)
response = requests.get(
f"https://api.giphy.com/v1/gifs/search?q={search}&api_key=WiLstLIo2SInusTmGDDkhhY0tU6xKNEl&limit={num_gifs}&offset={choice}"
)
if response.status_code != 200:
await message.channel.send("U stupid bruh, bad request.")
else:
gifs = response.json()['data']
gif_urls = [gif['url'] for gif in gifs]
for url in gif_urls:
await message.channel.send(url)
if message.content.startswith("!calc"):
async with message.channel.typing(
): #makes the channel say the bot is typing
terms = " ".join(message.content.split(" ")[1:])
await message.channel.send(eval(terms))
def get_directory(self, key):
s = requests.session()
s = CacheControl(s, cache=FileCache(os.path.expanduser('~/.tst/cache')))
url = "%s/%s/tst.yaml" % (self.url, key)
headers = {}
tokens = JsonFile(os.path.expanduser('~/.tst/tokens.json'))
token = tokens.get(self.name)
if token:
headers['Authorization'] = 'Bearer %s' % token
try:
response = s.get(url, headers=headers, allow_redirects=True)
except requests.ConnectionError:
_assert(False, "Connection failed... check your internet connection (1)")
# TODO: Split method in two. The first part performs a fetch,
# while the second part (below) processes the response and
# possibly fetches further files. We could have a simple
# fetch method/funcion and a more high level get_directory
# that uses such method. In fact, the get() method above can
# also be improved with such a refactoring.
# process response
if not response.ok:
self.last_error = response.status_code
self.last_response = response
return None
response.encoding = 'utf-8'
try:
import yaml
resource = yaml.load(response.text, Loader=yaml.FullLoader)
resource['_response'] = response
except Exception as e:
cprint(YELLOW, "Failed parsing yaml: %s" % url)
cprint(YELLOW, e.message)
raise e
# gather files
files = resource.get('files') or []
files.append({
"name": "tst.yaml",
"content": response.text,
"mode": "ro"
})
## add text file if required
if 'text' in resource and is_single_line_string(resource['text']):
files.append({
"name": resource['text'],
"content": '%s/%s/%s' % (self.url, key, resource['text']),
"mode": "ro"
})
## add included files
files_filenames = [f['name'] for f in files]
for fspec in resource['include']:
filename, category, mode = parse_file_spec(fspec)
if filename not in files_filenames:
files.append({
'name': filename,
'content': '%s/%s/%s' % (self.url, key, filename),
'mode': mode
})
else:
entry = next(e for e in files if e['name'] == filename)
entry['mode'] = mode
## fetch missing files
for f in files:
if f['content'].startswith('http://') or f['content'].startswith('https://'):
f['content'] = fetch_file('%s/%s/%s' % (self.url, key, f['name']), encoding='utf-8')
return {
'kind': 'activity',
'files': files,
}
def crawl(self, save = True):
"""Crawl necessary info from spysru.com
Regular expression pattern and decrypt encrypted-port code
maybe change depend on url source
- if param save set to False, collected info will not be saved in memory
Here's a simply explanation for decrypt encrypted-port:
Ports at spysru are encrypted as fake random-string,
as it random - String is really random
as it fake - same number at per page is same random string
So we can find regular pattern at those string
eg. 8080 has same number with position 1&3, 2&4
"""
ProxySpider.crawl(self)
p_port = re.compile(r'font>"\+(.*?)\)</script>', re.DOTALL)
p_ip = re.compile((r'class=spy14>([0-9.]{0,20})<script'), re.DOTALL)
for link in self.links:
self.view(link)
x_ports = re.finditer(p_port, self.cont)
encrypt_ports = [x_port.group(1) for x_port in x_ports]
#decrypt number
cout_3128 = 0
realnum = {3128: None, 8080: None, 80: None, 8909: None}
for encrypt_port in encrypt_ports:
num = encrypt_port.split('+')
num_cout = encrypt_port.count('+') + 1
if num_cout == 4:
#Detect 8080
if num[0] == num[2] and num[1] == num[3] and \
num[0] != num[1]:
realnum[num[0]], realnum[8] = 8, num[0]
realnum[num[1]], realnum[0] = 0, num[1]
#Detect 8909
elif num[1] == num[3] and num[0] != num[1] and \
num[0] != num[2] and num[1] != num[2]:
realnum[num[0]], realnum[8] = 8, num[0]
realnum[num[1]], realnum[9] = 9, num[1]
realnum[num[2]], realnum[0] = 0, num[2]
#Detect 3128
elif num[0] != num[1] and num[0] != num[2] and \
num[0] != num[3] and num[1] != num[2] and \
num[1] != num[3] and num[2] != num[3]:
if realnum[3128] is None:
realnum[3128] = num
else:
if num == realnum[3128]:
cout_3128 += 1
#Recognize as 3128 if True
if cout_3128 >= 3:
realnum[num[0]], realnum[3] = 3, num[0]
realnum[num[1]], realnum[1] = 1, num[1]
realnum[num[2]], realnum[2] = 2, num[2]
realnum[num[3]], realnum[8] = 8, num[3]
elif num_cout == 2:
#Detect as 80 - only detect as 80 after 8080 found
if realnum.has_key(8) is True and realnum[8] == num[0] and \
realnum.has_key(0) is True and realnum[0] == num[1]:
realnum[num[0]], realnum[8] = 8, num[0]
realnum[num[1]], realnum[0] = 0, num[1]
#decrypt port
try:
for i in range(len(encrypt_ports)):
encrypt_ports[i] = encrypt_ports[i].replace('+', '')
for n in range(0, 10):
if realnum.has_key(n):
encrypt_ports[i] = encrypt_ports[i].replace(
realnum[n], str(n))
except KeyError:
cprint(self, 'Cannot detect some number, may bugged.')
pause()
ports = encrypt_ports
ips = [x_ip.group(1) for x_ip in re.finditer(p_ip, self.cont)]
if not save is False:
self.save_collected(ips, ports)
def request(self,
method,
path,
headers={},
payload=None,
exit_on_fail=False):
curl_command = [
'curl',
'-q', # don't use ~/.curlrc (must be first arg)
'-X',
method.upper(), # http verb
'-v', # be verbose: print report to stderr
'-s', # don't print progress meter
'-L' # follow redirects
]
headers['TST-CLI-Release'] = self.config.get('release', 'unknown')
if 'Authorization' not in headers:
headers['Authorization'] = 'Bearer %s' % self.token
for hname, hvalue in headers.items():
curl_command.append('-H')
curl_command.append('%s: %s' % (hname, hvalue))
url = self.config['url'] + path
curl_command.append(url)
if payload is not None:
curl_command.append('-d')
data = "%s" % json.dumps(payload)
curl_command.append(data)
signal.alarm(20000) # timeout in seconds
process = Popen(curl_command, stdout=PIPE, stderr=PIPE)
try:
stdout, stderr = map(to_unicode, process.communicate())
signal.alarm(0) # reset alarm for future use...
process.wait()
except: # timeout!!!
process.terminate()
raise
# raw data
response = self.Response()
response.stderr = stderr
response.stdout = stdout
response.exit_status = process.returncode
# curl messages
lines = [l[2:] for l in stderr.splitlines() if l and l[0] == '*']
response.curl_messages = "\n".join(lines)
# request headers
lines = [l[2:] for l in stderr.splitlines() if l and l[0] == '>']
response.request_headers = "\n".join(lines)
# response headers
lines = [l[2:] for l in stderr.splitlines() if l and l[0] == '<']
response.headers = "\n".join(lines)
if not response.headers:
if exit_on_fail:
msg = "tst: can't connect to server"
_assert(False, msg)
raise ConnectionFail("can't connect to tst online")
# body
response_lines = response.headers.splitlines()
response.status_code = None
for i in range(len(response_lines) - 1, -1, -1):
if response_lines[i].startswith("HTTP"):
status_line = response_lines[i]
response.status_code = int(status_line.split()[1])
break
# exit_on_fail
if exit_on_fail and not (200 <= response.status_code < 300):
msg = 'Request to server failed'
try:
data = json.loads(response.stdout)
if 'messages' in data and type(data['messages'] == list):
msg += "\nServer message: " + str(data['messages'][0])
except:
data = {}
msg += ('\n' + "Couldn't parse server response")
cprint(LRED, msg)
if 'messages' in data and data['messages'][0] == 'invalid token':
print("---")
print("Use `tst login` to log in to the server")
sys.exit(1)
response.body = stdout if response.status_code else None
return response
continue
pos = map_move[inp]
try:
state.move(pos)
except ValueError:
cprint('Invalid position', RED)
input()
continue
screen.render(state)
winner = state.winner()
if winner == -1:
cprint(f'Tie!\n', YELLOW)
else:
cprint(f'Player {winner} wins!\n', GREEN)
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('--turn',
default='1',
type=int,
help='Your turn (1 or 2)')
args = parser.parse_args()
if args.turn not in [1, 2]:
cprint('Invalid turn\n', RED)
else:
start(player_turn=int(args.turn))
def _unique(self, desc_rows=10):
cprint("\n2. 统计类别数...")
self.s_unique = self.df.nunique(dropna=False)[lambda x: x < 1024].sort_values()
print(self.s_unique.head(desc_rows))
def view(self, link):
"""Get link content
"""
self.link = link
cprint(self, 'Start viewing at %r' % link)
self.cont = openurlex(link).read()
def __init__(self):
self.cont = ''
self.link = ''
cprint(self, 'Web spider initial:%r' % self)
def generate_data(
*,
gripper: "GripperModule",
aux_gripper: Union["AuxGripperModule", None] = None,
thrower: "ThrowerModule",
image_transformer: "ImageTransformer",
seeds: List[int],
length: int,
on_cuda: bool,
workdir_path: str,
forces: Union[None, List[float]] = None,
) -> DataPoints:
"""
Generuje zbiór przykładów o zadanych parametrach:
(seeds, length) z użyciem zadanych modułów.
Parametr on_cuda kontroluje użycie akceleracji
przy pomocy karty graficznej.
Zwracany jest obiekt typu Dataset
zawierający wygenerowane przykłady.
Jeśli podano parametr forces, to jest on
użyty jako lista sił chwytu do przetestowania.
"""
if (forces is None
and aux_gripper is None) or (forces is not None
and aux_gripper is not None):
raise Exception(
"Pass exactly one of the parameters: aux_gripper, forces")
cprint("Generating data...")
gripper.save(os.path.join(workdir_path, "gripper"))
if aux_gripper is not None:
aux_gripper.save(os.path.join(workdir_path, "aux-gripper"))
thrower.save(os.path.join(workdir_path, "thrower"))
save_obj(os.path.join(workdir_path, "image_transformer"),
image_transformer)
# Dla każdego ziarna tworzymy nowy proces Python'owy.
# Nie jest to optymalne rozwiązanie, ale za to
# omijamy problem z tworzeniem procesów
# potomnych po zainicjalizowaniu internalowych
# struktur PyTorcha.
for seed_idx, seed in enumerate(seeds):
src_dir = os.path.dirname(__file__)
os.system(f"""
cd {src_dir} ;
python3 ./data.py \
--seed {seed} \
--length {length} \
{"--on_cuda" if on_cuda else ""} \
--gripper {gripper.name()} \
{"--aux_gripper " + aux_gripper.name() if aux_gripper is not None else ""} \
{"--forces '" + json.dumps(forces) + "'" if forces is not None else ""} \
--thrower {thrower.name()} \
--workdir_path {workdir_path} \
--output_path {os.path.join(workdir_path, str(seed_idx))} &
""")
while True:
time.sleep(5)
if all([
os.path.isfile(
os.path.join(workdir_path, str(seed_idx), "metadata"))
for seed_idx in range(len(seeds))
]):
break
metadata = {
"dataset_type": "composed",
"part_dirpaths": [str(seed_idx) for seed_idx in range(len(seeds))],
"seeds": seeds,
"length": length,
"thrower": thrower.name(),
"gripper": gripper.name(),
"image_transformer": image_transformer.name(),
}
if forces:
metadata["forces"] = forces
else:
metadata["aux_gripper"] = aux_gripper.name()
with open(os.path.join(workdir_path, "metadata"), "w") as f:
json.dump(metadata, f)
cprint("Data generated!")
return construct_dataset(workdir_path)
def crawl(self):
"""Collect specific info from viewing
different spider has different crawl way
"""
cprint(self, 'Start crawling at %r' % self.link)
def __call__(self, *args, **kwargs):
utils.cprint("Error: obsolete function '{}' was called!\n".format(self.func.__name__), "y")
raise utils.ObsoleteError("'{}' is obsolete!".format(self.func.__name__))
def render(self, state: State):
clear_screen()
m = state.matrix
dmap = lambda c: 'X' if c == 1 else 'O' if c == 2 else ' '
for i in [0, 3, 6]:
line = [dmap(m[i]), dmap(m[i + 1]), dmap(m[i + 2])]
cprint(' | '.join(line) + '\n')
if i < 6:
cprint('--+---+--\n')
print('\n\n')
cprint('moves:\n\n', BLACK)
cprint(' 7 | 8 | 9\n', BLACK)
cprint('---|---|---\n', BLACK)
cprint(' 4 | 5 | 6\n', BLACK)
cprint('---|---|---\n', BLACK)
cprint(' 1 | 2 | 3\n\n', BLACK)
def __call__(self, *args, **kwargs):
utils.cprint("Warning: incomplete function '{}' was called.".format(self.func.__name__), "y")
print() # needed because cprint doesn't print newline char
return self.func(*args, **kwargs)