def init_settings(settings_):
global settings
updated_settings = update(settings, settings_,
UPDATE_RECURSION_EXCLUDED)
updated_settings = update(updated_settings, _get_local_config(),
UPDATE_RECURSION_EXCLUDED)
settings = updated_settings
def loop():
while True:
try:
inputline = input()
except (KeyboardInterrupt, EOFError):
break
inputline = inputline.split(" ")
update(inputline)
def update_wrapper(infoname, priorname, outname, outavgname):
G = update(infoname, priorname)
for e in G.edges():
print G[e[0]][e[1]]['params']
print e, stats.gamma(G[e[0]][e[1]]['params'][0], scale=G[e[0]][e[1]]['params'][1]).stats(moments='m')
nx.write_edgelist(G,outname)
A = G.copy()
for e in A.edges():
p = stats.gamma(G[e[0]][e[1]]['params'][0], scale=G[e[0]][e[1]]['params'][1]).stats(moments='m')
# if p == nan: A[e[0]][e[1]]['weight'] = 0
A[e[0]][e[1]]['weight'] = p
nx.write_weighted_edgelist(A,outavgname,delimiter=',')
def run_plot():
if model.get() == 'Chose model':
print('Chose model and run again.')
return
s, counter, r = update(int(e1.get()), int(e2.get()),
str(distribution.get()), str(model.get()),
float(e3.get()), float(e4.get()), float(e5.get()))
nr_clusters = len(np.unique(s[counter - 1, :]))
print("Number of clusters", nr_clusters)
if c.get() == 1:
# Plot radii at t = 0
start_position = start(int(e1.get()), int(e2.get()),
str(distribution.get()))
rad = radius(int(e1.get()), int(e2.get()), float(e4.get()),
float(e5.get()), str(model.get()), float(e3.get()),
start_position)
rad_fig = plt.figure('Radii at t = 0')
ax = rad_fig.add_subplot(111)
line, = ax.plot(start_position, rad, lw=2)
ax.set_xlabel("Agent position (continuous)")
ax.set_ylabel("Radii (continuous)")
if p.get() == 1:
# Plot opinion dynamics
for i in range(counter):
plt.figure('Opinion dynamics')
plt.plot(np.reshape(s[i, 0:int(e1.get())], (1, int(e1.get()))),
np.full((1, int(e1.get())), i),
'ro',
markersize=9)
plt.plot([0, int(e2.get())], [i, i], '-k')
plt.xlabel('Agent position (continuous)')
plt.ylabel('Time (discrete)')
plt.yticks(np.arange(0, counter, 1))
values, index, numbers = np.unique(s[i, :],
return_index=True,
return_counts=True)
if i == 0:
continue
for j in range(len(values)):
plt.text(values[j], i, numbers[j], fontsize=14)
plt.show
if p_horizontal.get() == 1:
plt.figure('Opinion dynamics vertical')
t = np.linspace(0, counter - 1, counter)
for agent in range(int(e1.get())):
plt.plot(t, s[:, agent])
plt.xlabel('Time (discrete)')
plt.ylabel('Agent position (continuous)')
plt.show
writecsv(file_name, sdata)
gpio.output(led1, 0)
time.sleep(0.1)
domain = "https://api.solardata2.tk"
url = domain + "/api/inverter/stats/add"
print(url)
while True:
try:
base_path = os.path.dirname(os.path.abspath(
inspect.getfile(inspect.currentframe()))) + "/"
print(base_path)
restart.reboot()
update(base_path)
print(slave_ids)
for slave_id in slave_ids:
for i in registers.keys():
initmodbusandread(i)
timesend = str(dt.readTime().strftime("%Y-%m-%d %H:%M:%S"))
# timesend = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
print(timesend)
# onoff()
print(uid + "{0:0=2d}".format(slave_id))
data = setData(uid, slave_id, registers, timesend, vers)
sdata = setCsvData(uid, slave_id, registers, timesend, vers)
headers = {'Content-type': 'application/json'}
senddata(file_name, url, sdata, headers, data, vers)
time.sleep(10*20)
def updateQuestions(self):
update()
def get_oreilly_rss_feed(publisher, url):
f = feedparser.parse(url)
return book.get_book(publisher, f.entries[0].title , f.entries[0].summary, f.entries[0].link)
try:
publisher = 'O''Reilly Media'
logging.info("BEGIN O'REILLY")
ebook = get_oreilly_rss_feed(publisher, OREILLY_FEED_RSS)
ebook.put()
logging.info("O'REILLY OK")
update(publisher, true)
except:
logging.exception("O'REILLY ERROR:", sys.exc_info()[0])
update(publisher, false)
try:
publisher = 'Microsoft Press'
logging.info("BEGIN MSPRESS")
ebook = get_oreilly_rss_feed(publisher, MS_FEED_RSS)
ebook.put()
logging.info("MSPRESS OK")
update(publisher, true)
except:
def main():
# Prompts users for a file name containing the graph structure.
graph_name = input('Graph Structure File: ')
node_list = read_graph(graph_name)
# Prompts users for a file name containing the possibles values of the nodes.
val_name = input('Node Value File: ')
node_list = read_val(val_name, node_list)
# Prompts users for a file name containing the probabilities.
prob_name = input('Probability File: ')
node_list = read_prob(prob_name, node_list)
# Initializes the graph structure.
evidence, node_list = initialize(node_list)
exit_flag = False
while not exit_flag:
# Resets the nodes and evidence to their initial values.
node_list = read_graph(graph_name)
node_list = read_val(val_name, node_list)
node_list = read_prob(prob_name, node_list)
evidence, node_list = initialize(node_list)
# Prompts the user for a node and value of interest.
int_node = input('Input the node of interest and its value (ex: A1): ')
# Prompts the user for all the evidence.
evi_nodes = input('Input all evidence nodes (ex: B1 C0 D1). If there is no evidence, type None: ')
if evi_nodes == 'None':
# Gets the name and value associated with the node of interest.
interest_name, interest_val = name_val(int_node)
# Since there is no evidence, we need only the marginal distribution given no evidence, which we
# initialized as 'Empty.'
cond_prob = node_list[interest_name].cond[interest_val]['Empty']
print('The conditional probability of', int_node, 'given no evidence is', '{0:0.4f}.'.format(cond_prob))
else:
# Gets the name and value associated with the node of interest.
interest_name, interest_val = name_val(int_node)
# Updates the network for every evidence given.
evidence_list = evi_nodes.split(' ')
for e in evidence_list:
evidence, node_list = update(e, node_list, evidence)
# Creates a list of the evidence.
evi_list = list()
for v in evidence:
evi_list.append(v + str(evidence[v]))
# Gets the conditional probability given the evidence.
try:
cond_prob = node_list[interest_name].cond[interest_val][tuple(sorted(evi_list))]
# If the exact conditional probability doesn't exist, then a message wasn't sent, so we have to
# use a different metric.
except KeyError:
# Gets a list of all the conditional probabilities.
cond_list = list(node_list[interest_name].cond[interest_val].keys())
# Scores each conditional probability by the number of shared indices with the evidence.
score_dict = score(evi_list, cond_list)
# The one with the most amount of similar indices is the one that we want.
condition = max(score_dict, key=score_dict.get)
cond_prob = node_list[interest_name].cond[interest_val][condition]
print('The conditional probability of', int_node, 'given', evi_nodes, 'is', '{0:0.4f}.'.format(cond_prob))
# Cycling exit prompt, for convenience.
exit_prompt = input('Would you like to make another query? (Y or N): ')
if exit_prompt == 'Y':
exit_flag = False
else:
exit_flag = True
def fire3(self):
update()
assert response["statusCode"] == 200
body = json.loads(response["body"])
logger.debug(body)
assert body["data"] == {
"createdAt": "2020-04-12T12:00:01+00:00",
"updatedAt": "2020-04-12T12:00:01+00:00",
"uuid": str(dynamo_document.uuid),
}
def test_update_{{cookiecutter.model_name_slug}}_document(dynamo_document):
event = {
"body": json.dumps({"updated_at": "2020-04-12T12:00:01+00:00"}),
"pathParameters": {"uuid": dynamo_document.uuid},
}
response = update(event, None)
assert response == {
"body": {% raw %}f'{{"uuid": "{dynamo_document.uuid}"}}',{% endraw %}
"statusCode": 200,
"headers": {"Access-Control-Allow-Origin": "*"},
}
def test_delete_{{cookiecutter.model_name_slug}}_document(dynamo_document):
event = {
"body": None,
"pathParameters": {"uuid": dynamo_document.uuid},
}
response = delete(event, None)
assert response == {
"body": None,
def updaterun(self): if getinfo(): update(getupdatefile(infodic)) else: print 'No update!'
import logging
import urllib
from xml.etree.ElementTree import parse
import feedparser
import sys
import book
import update
APRESS_FEED_RSS = 'http://www.apress.com/index.php/dailydeals/index/rss'
PUBLISHER = 'Apress'
def get_apress_rss_feed():
f = feedparser.parse(APRESS_FEED_RSS)
return book.get_book(publisher, f.entries[0].title, f.entries[0].description, f.entries[0].link)
try:
logging.info("BEGIN APRESS")
ebook = get_apress_rss_feed()
ebook.put()
logging.info("APRESS OK")
update(PUBLISHER, true)
except:
logging.exception("APRESS ERROR:", sys.exc_info()[0])
update(PUBLISHER, false)
def print_date_time():
with app.app_context():
update()
def __init__(self, arguments): ## manager config self.__author__ = 'Jonathan Argentiero <*****@*****.**>' # github self.__githubuser__ = 'jonathanargentiero' self.__githubrepo__ = 'puppa' self.__repositoryurl__ = 'https://github.com/'+self.__githubuser__+'/'+self.__githubrepo__ self.__repositorytags__ = 'https://api.github.com/repos/'+self.__githubuser__+'/'+self.__githubrepo__+'/git/refs/tags' self.__puppagitlocation__ = 'dist/' # filename self.__filename__ = arguments[0] # version : python puppa --version self.__version__ = '0.3' # doc : python puppa self.__doc__ = (Fore.MAGENTA + 'PUPPA!' + Style.RESET_ALL)+'\n' self.__doc__ += (Fore.BLUE + 'your updatable application package' + Style.RESET_ALL)+'\n' self.__doc__ += 'Run "python puppa --help" for a list of commands.' # help : python puppa --help self.__help__ = (Fore.RED + 'All the commands are listed below!' + Style.RESET_ALL)+'\n' self.__help__ += 'Usage:\n' self.__help__ += 'python puppa [options] [arguments]\n\n' self.__help__ += 'Options:\n' self.__help__ += ' -h, --help print this commands list\n' self.__help__ += ' -v, --version print version\n' self.__help__ += ' -p, --path print path location of the puppa\n' self.__help__ += ' -a, --author print author info\n' self.__help__ += ' update [version] updates the puppa from git repository\n' self.__help__ += ' purge purges the puppa\n' self.__help__ += '\n'+(Fore.YELLOW + 'WARNING: purging the puppa is permanent!' + Style.RESET_ALL)+'\n' ## manager logic # python puppa if len(arguments) < 2: print self.__doc__ return None command = arguments[1] # python puppa [options] [arguments] if command == 'update': # python puppa update update(self,arguments) elif command == 'purge': # python puppa purge print (Fore.YELLOW + 'WARNING!' + Style.RESET_ALL)+' This will delete permanently the puppa! Continue? [y/N]' choice = raw_input().lower() if choice in ['yes','y', 'ye']: purge(self) elif choice in ['no','n', '']: return None else: sys.stdout.write((Fore.RED + 'UNVALID!' + Style.RESET_ALL)+" please respond with 'yes' or 'no'\n") return None elif command == '-h' or command == '--help': # python puppa --help print self.__help__ return None elif command == '-v' or command == '--version': # python puppa --version print 'v'+self.__version__ return None elif command == '-p' or command == '--path': # python puppa --help print self.getCurrentEntryPath() return None elif command == '-a' or command == '--author': # python puppa --version print (Fore.GREEN + self.__author__ + Style.RESET_ALL) else: # python puppa something print (Fore.RED + 'COMMAND NOT VALID!' + Style.RESET_ALL) print self.__help__ return None
if(len(sys.argv)==1):
# Display help
sys.exit(1)
WORKDIR = settings.getWorkdir()
for ARGS in sys.argv[1:]:
if(os.access("packages.rules"+os.sep+ARGS+".json", os.R_OK) == True):
INSTDIR = packages.getInstdir(ARGS)
if( os.access(WORKDIR+INSTDIR, os.W_OK) == False):
if( os.access(WORKDIR+INSTDIR, os.F_OK) == False):
print( "Trying to update...")
MIRROR = settings.getMirror()
if( MIRROR == None):
sys.exit(1)
MIRROR=MIRROR[0]
from update import *
if ( os.access("packages.rules"+os.sep+ARGS+".json", os.R_OK) == True):
update(ARGS, MIRROR, WORKDIR)
elif( os.path.isdir("packages.rules"+os.sep+ARGS) == True):
LIST = os.listdir("packages.rules"+os.sep+ARGS)
for FILES in LIST:
update(FILES, MIRROR, WORKDIR)
elif( ARGS != sys.argv[0]):
print( "Package '"+ARGS+"' doesn't exist!")
sys.exit(1)
else:
print( "Cannot write to '"+INSTDIR+"' !")
sys.exit(1)
else:
CXX = check(ARGS, WORKDIR=WORKDIR)
compile(ARGS, CXX=CXX, WORKDIR=WORKDIR)
def updatecustomers():
print("update.....:")
nationalcode=input("NationalCode: ")
customername=input("CustomerName: ")
update(customername,nationalcode)
