def install_server(self):
self.mod_files.append(self.minecraft_server_jar())
for f in self.mod_files:
if not f['required_on_server']:
# pass - note that currently, there are some files (i.e. authlib-1.5.13.jar) which don't have an install path, so can't be handled.
continue
try:
f.validate_attributes()
except AssertionError:
print("INSTALLATION FAILED - MOD FILE DEFINITION INVALID.")
import pprint
pprint.pprint(f)
return 'FAILURE'
print('-')
mkdir(self['download_cache_folder'])
os.chdir(self['download_cache_folder'])
f.download("server")
mkdir(self['install_folder'])
os.chdir(self['install_folder'])
f.install(self, "server")
print('-\r\nWriting eula.txt')
os.chdir(self['install_folder'])
with open('eula.txt', 'w') as eula:
eula.write("eula=true")
def test():
user_agent = "NowKithMikeTyson 0.0 by /u/redleader6432"
r = praw.Reddit(user_agent=user_agent)
user_name = "redleader6432"
user = r.get_redditor(user_name)
thing_limit = 10
gen = user.get_submitted(limit=thing_limit)
com = user.get_comments(limit=thing_limit)
karma_by_subreddit = {}
comments = {}
for thing in gen:
subreddit = thing.subreddit.display_name
karma_by_subreddit[subreddit] = (karma_by_subreddit.get(subreddit, 0) + thing.score)
for thing in com:
subreddit = thing.subreddit.display_name
comments[subreddit] = (karma_by_subreddit.get(subreddit, 0) + thing.score)
print('Submitted:')
pprint.pprint(karma_by_subreddit)
print('Comments:')
pprint.pprint(comments)
def test_user_queues(self):
queues = self.user.get_queues(expand="@title", sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues)
dump_object(queues)
queues_instant = self.user.get_queues_instant(sort_order="alphabetical", start_index=0, max_results=2)
self.assertIsNotNone(queues_instant)
pprint.pprint(queues_instant)
for queue in queues_instant['queue']:
q = self.user.get_resource(queue['id'], data={})
print queue['id']
print(q.content)
try:
queues_disc = self.user.get_queues_disc(sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues_disc)
dump_object(queues_disc)
except NetflixError as e :
dump_object(e)
queues_ia = self.user.get_queues_instant_available(sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues_ia)
dump_object(queues_ia)
queues_is = self.user.get_queues_instant_saved(sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues_is)
dump_object(queues_is)
def runTest():
print("Test script:")
import pprint
print("Component tree of all installed components:")
pprint.pprint(getAllComponents_tree())
print("")
test_cfg = RHNOptions(sys.argv[1])
# test_cfg = RHNOptions('server.app')
# test_cfg = RHNOptions('proxy.broker')
# test_cfg = RHNOptions('proxy.redirect', _CONFIG_ROOT)
# test_cfg = RHNOptions('proxy.redirect', '/tmp')
# test_cfg.filename = 'empty.conf'
test_cfg.parse()
print("=============== the object's repr ================================")
print(test_cfg)
print("=============== the object's defaults ============================")
pprint.pprint(test_cfg.getDefaults())
print("=============== an erronous lookup example =======================")
print("testing __getattr__")
try:
print(test_cfg.lkasjdfxxxxxxxxxxxxxx)
except AttributeError:
e = sys.exc_info()[1]
print('Testing: "AttributeError: %s"' % e)
print("")
print(
"=============== the object's merged settings ======================")
test_cfg.show()
print(
"=============== dump of all relevant dictionaries =================")
test_cfg.showall()
print(
"===================================================================")
def RunDispatch(txn,
balances={},
commodities={},
raise_error=False,
check_not_empty=False):
"""Dispatch a transaction to its handler."""
key = (txn['type'], txn['description'])
try:
handler = _DISPATCH[key]
except KeyError:
if raise_error:
pprint.pprint(txn)
raise ValueError("Unknown message: {}".format(repr(key)))
logging.error("Ignoring message for: %s", repr(key))
else:
# Call the handler method.
signature = inspect.signature(handler)
kwargs = dict()
if 'balances' in signature.parameters:
kwargs['balances'] = balances
if 'commodities' in signature.parameters:
kwargs['commodities'] = commodities
result = handler(txn, **kwargs)
if result and not isinstance(result, list):
result = [result]
if check_not_empty:
empty_txn = PruneEmptyValues(txn)
assert not empty_txn, pformat(empty_txn)
return result
def printJSONCursor(self, fieldnames, datemap, time_format=None):
"""
Output plan json objects.
:param c: collection
:param fieldnames: fieldnames to include in output
:param datemap: fieldnames to map dates to date strings
:param time_format: field names to map to a specific time format
:return:
"""
count = 0
with self._smart_open(self._filename) as output:
for i in self._cursor:
# print( "processing: %s" % i )
# print( "fieldnames: %s" % fieldnames )
self._results.append(i)
d = CursorFormatter.fieldMapper(i, fieldnames)
# print( "processing fieldmapper: %s" % d )
d = CursorFormatter.dateMapper(d, datemap, time_format)
pprint.pprint(d, output)
count = count + 1
return count
def install_server(self):
self.mod_files.append(self.minecraft_server_jar())
for f in self.mod_files:
if not f['required_on_server']:
# pass - note that currently, there are some files (i.e. authlib-1.5.13.jar) which don't have an install path, so can't be handled.
continue
try:
f.validate_attributes()
except AssertionError:
print ("INSTALLATION FAILED - MOD FILE DEFINITION INVALID.")
import pprint
pprint.pprint(f)
return 'FAILURE'
print ('-')
mkdir(self['download_cache_folder'])
os.chdir(self['download_cache_folder'])
f.download("server")
mkdir(self['install_folder'])
os.chdir(self['install_folder'])
f.install(self, "server")
print ('-\r\nWriting eula.txt')
os.chdir(self['install_folder'])
with open('eula.txt', 'w') as eula:
eula.write("eula=true")
def evaluate(args):
opt = vars(args)
# make other options
opt['dataset_splitBy'] = opt['dataset'] + '_' + opt['splitBy']
if args.cfg_file is not None:
cfg_from_file(args.cfg_file)
if args.set_cfgs is not None:
cfg_from_list(args.set_cfgs)
print('Using config:')
pprint.pprint(cfg)
# set up loader
data_json = osp.join('cache/prepro', opt['dataset_splitBy'], 'data.json')
data_h5 = osp.join('cache/prepro', opt['dataset_splitBy'], 'data.h5')
loader = GtMRCNLoader(data_json, data_h5)
# set up model
opt['vocab_size']= loader.vocab_size
opt['C4_feat_dim'] = 512
net = vgg16(opt, batch_size=1)
net.create_architecture(81, tag='default',
anchor_scales=cfg.ANCHOR_SCALES,
anchor_ratios=cfg.ANCHOR_RATIOS)
sfile = osp.join(opt['dataset_splitBy'], 'output_{}'.format(opt['output_postfix']), 'vgg16_faster_rcnn_iter_{}.pth'.format(opt['model_iter']))
print('Restoring model snapshots from {:s}'.format(sfile))
saved_state_dict = torch.load(str(sfile))
count_1 = 0
new_params = net.state_dict().copy()
for name, param in new_params.items():
#print(name, param.size(), saved_state_dict[name].size())
if name in saved_state_dict and param.size() == saved_state_dict[name].size():
new_params[name].copy_(saved_state_dict[name])
#print('---- copy ----')
else:
print(name, '----')
count_1 += 1
print('size not match:', count_1)
net.load_state_dict(new_params)
net.eval()
net.cuda()
split = opt['split']
crit = None
acc, num_sent = eval_split(loader, net, crit, split, opt)
print('Comprehension on %s\'s %s (%s sents) is %.2f%%' % \
(opt['dataset_splitBy'], split, num_sent, acc*100.))
# write to results.txt
f = open('experiments/det_results.txt', 'a')
f.write('[%s][%s], id[%s]\'s acc is %.2f%%\n' % \
(opt['dataset_splitBy'], opt['split'], opt['id'], acc*100.0))
def print_cluster_data(args):
"""loading precomputed fits"""
from util import depickle_fits
res = depickle_fits(args.file, suffix="cfits")
"""retrieving weightmatrix from fits dic"""
W = res["map"]["W"]
dic_W = res["map"]
"""get fit and cluster data"""
cl = res["dic_cluster"]
num_dead = cl["num_dead_rf"]
alive = W.shape[0] - num_dead
import pprint as pp
print
print "*****+ Trained map data"
print "visible units", W.shape[1]
print "hidden units", W.shape[0]
print "alive hidden units", alive, "(", N.round(alive / float(W.shape[0]), 2), "% )"
print "*****+ Map Parameter"
print pp.pprint([(key, dic_W[key]) if key != "W" else () for key in dic_W.keys()])
print "*****+ Cluster data"
print "num cluster", cl["num_clusters"]
print "num rf in each cluster", cl["num_each_cluster"]
print "prototype weights each cluster", N.round(cl["prototype_cluster"], 2)
print "*****+ Cluster Parameters"
print pp.pprint(cl["args"])
def get_top_ten(self):
topten = [
'hotmail.com', 'gmail.com', 'yahoo.com', 'aol.com', 'comcast.com',
'mail.ru', 'web.de', 'qq.com', 'gmx.net', 'naver.com'
]
print "Domain\tTLS\tVerified\t"
results = []
for domain in topten:
self.cur.execute("select id from domains where domain = '%s';" %
domain)
dom_id = self.cur.fetchone()[0]
self.cur.execute(
"select mx_id from domains_mx where domain_id = %s;" % dom_id)
mx_id = self.cur.fetchone()[0]
self.cur.execute(
"select server_id from mx_servers where mx_id = %s;" % mx_id)
serv_id = self.cur.fetchone()[0]
self.cur.execute("select tls from servers where id = %s;" %
serv_id)
tls = self.cur.fetchone()[0]
self.cur.execute(
"select ssl_verified from servers where id = %s;" % serv_id)
verified = self.cur.fetchone()[0]
results.append([domain, tls, verified])
#num_servers_tls = int(self.cur.fetchone()[0])
#self.cur.execute("select count(*) from Servers where ssl_verified = 'True';")
pprint.pprint(results)
def suggestion(dict, sample):
# aus sample process extrahieren, schwerpunktsenergie
query = {
"energy": get_energy(sample, "2016"),
"process": get_process(sample).replace("/", "")
}
print "searching for previously known cross-sections with following query: "
pprint.pprint(query)
query_result = []
best_guess = 0
for sample, values in dict.iteritems():
matches = True
for name, attribute in values.iteritems():
if not name in query: continue
if not (re.match(str(query[name]), str(attribute)) !=
None): #query[name] != attribute:
matches = False
if matches and "xsec" in dict[sample]:
query_result.append("\t" + make_nickname(values) + " : " +
str(dict[sample]["xsec"]))
if best_guess == 0:
best_guess = dict[sample]["xsec"]
else:
if best_guess != dict[sample]["xsec"]:
best_guess = -1 # differences, no recommendation found
print "previously set: "
pprint.pprint(query_result)
return best_guess
def main():
parser = optparse.OptionParser(usage="usage: %prog [options]",
description="Script to extend datasets.json by another sample")
# sample
parser.add_option("-s", "--sample", help="official Sample Sting")
# crosssection
parser.add_option("-x", "--xsec", help="Sample cross section")
(options, args) = parser.parse_args()
sample = options.sample
xsec = float(options.xsec)
#xsec = eval_expr(xsec.replace('x', '*').replace(' ', ''))
dict = database
if "xsec" in dict[sample]:
print "sample already does have a cross-section of " + str(dict[sample]["xsec"]) + ". Stopping"
sys.exit()
best_guess = suggestion(dict, sample)
if best_guess > 0 and xsec < 0:
print "automatically fetching cross-section from previously known samples"
xsec = best_guess
if xsec <= 0.0:
print "no proper cross-section defined. Stopping"
sys.exit()
dict[sample]["xsec"] = float(xsec)
print "\n new datasets.json entry: "
pprint.pprint( dict[sample])
save_database(dict, dataset)
def upload_fastq(self, ctx, params):
"""
:param params: instance of type "UploadFastqParams" (testing
invocation of ReadsUtils) -> structure: parameter "fwd_id" of
String, parameter "wsid" of Long, parameter "wsname" of String,
parameter "objid" of Long, parameter "name" of String, parameter
"rev_id" of String, parameter "sequencing_tech" of String
:returns: instance of type "UploadFastqObjref"
"""
# ctx is the context object
# return variables are: objref
#BEGIN upload_fastq
print("hai this is upload_fastq here, params are")
pprint.pprint(params)
#ReadsUtils_instance = ReadsUtils(url=self.callbackURL, token=ctx['token'])
#method_retVal = ReadsUtils_instance.upload_reads( params )
objref = "Vooch"
#END upload_fastq
# At some point might do deeper type checking...
if not isinstance(objref, basestring):
raise ValueError('Method upload_fastq return value ' +
'objref is not type basestring as required.')
# return the results
return [objref]
async def start_service(send_channel):
async with oauth.authorizer(_watch_token) as authorize, \
client.factory("www.googleapis.com", 443) as make_request, \
send_channel:
seen = set()
while True:
data = await client.json_auth_request_factory(
partial(youtube.list_live_broadcasts_builder), authorize,
make_request)
import pprint
pprint.pprint(data)
async with trio.open_nursery() as chat_handlers:
# Make two concurrent calls to child()
for broadcast in data["items"]:
if broadcast["id"] in seen:
print("skipping", broadcast["id"], file=sys.stderr)
continue
print("starting chat handler for broadcast",
broadcast["id"],
file=sys.stderr)
seen.add(broadcast["id"])
chat_handlers.start_soon(
partial(
chat_handler,
live_chat_id=broadcast["snippet"]["liveChatId"],
authorize=authorize,
send_channel=send_channel,
))
await trio.sleep(60)
def test_get_default_msfragger_3():
up = uparma.UParma()
default_params = up.get_default_params("msfragger_style_3")
import pprint
pprint.pprint(default_params)
assert default_params["enzyme_specificity"]["translated_value"] == 2
def test_user_queues(self):
queues = self.user.get_queues(expand="@title", sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues)
dump_object(queues)
queues_instant = self.user.get_queues_instant(sort_order="alphabetical", start_index=0, max_results=2)
self.assertIsNotNone(queues_instant)
pprint.pprint(queues_instant)
for queue in queues_instant['queue']:
q = self.user.get_resource(queue['id'], data={})
print queue['id']
print(q.content)
try:
queues_disc = self.user.get_queues_disc(sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues_disc)
dump_object(queues_disc)
except NetflixError as e :
dump_object(e)
queues_ia = self.user.get_queues_instant_available(sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues_ia)
dump_object(queues_ia)
queues_is = self.user.get_queues_instant_saved(sort_order="alphabetical", start_index=0, max_results=10)
self.assertIsNotNone(queues_is)
dump_object(queues_is)
def _distributor(self, label, cv, param, eval_metric, early_stopping_rounds=50):
start = time()
if self.is_classifier:
label = 'XGBClassifier'
rs = XGBClassifier(param)
else:
label = 'XGBRegressor'
rs = XGBRegressor(param)
X_visible, X_blind, y_visible, y_blined = \
train_test_split(
self.X_train, self.y_train, random_state=1301, stratify=self.y_train, test_size=0.4)
rs.fit(self.X_visible, self.y_visible, eval_metric, early_stopping_rounds=50,
eval_set=[(X_visible, y_visible), (X_blind, y_blined)])
self.result[label] = {}
self.result[label]['clf'] = rs
# self.result[label]['score'] = rs.best_score_
self.result[label]['time'] = time() - start
# self.result[label]['set'] = ('n_iter: %s cv: %s' % (n_iter, cv))
pprint.pprint(self.result[label])
# pprint.pprint(rs.grid_scores_)
out_result = open(self.result_address, 'wb')
pickle.dump(self.result, out_result)
out_result.close()
def shops_in_sf():
output = cur.execute('SELECT value, COUNT(*) as num FROM nodes_tags\
WHERE key="shop" \
GROUP BY value \
ORDER BY num DESC' )
pprint.pprint(output.fetchall())
return output.fetchall()
def json_put(self, _req_url, _data, debug_=False, response_json_list_=None):
"""
Send a PUT request. This is presently used for data sent to /status-msg for
creating a new messaging session. It is not presently used for CLI scripting
so lacks suppress_x features.
:param _req_url: url to put
:param _data: data to place at URL
:param debug_: enable debug output
:param response_json_list_: array for json results in the response object, (alternative return method)
:return: http response object
"""
json_response = None
try:
lf_r = LFRequest.LFRequest(self.lfclient_url, _req_url, debug_=self.debug, die_on_error_=self.exit_on_error)
lf_r.addPostData(_data)
if debug_ or self.debug:
LANforge.LFUtils.debug_printer.pprint(_data)
json_response = lf_r.json_put(show_error=self.debug,
debug=(self.debug or debug_),
response_json_list_=response_json_list_,
die_on_error_=self.exit_on_error)
if debug_ and (response_json_list_ is not None):
pprint.pprint(response_json_list_)
except Exception as x:
if self.debug or self.halt_on_error or self.exit_on_error:
print("json_put submitted to %s" % _req_url)
pprint.pprint(_data)
print("Exception %s:" % x)
traceback.print_exception(Exception, x, x.__traceback__, chain=True)
if self.halt_on_error or self.exit_on_error:
exit(1)
return json_response
def register_new_sample(dict, options):
# split sample name
pd_name, details, filetype = options.sample.strip("/").split("/")
new_entry = {}
sample = options.sample
if(sample in dict):
new_entry = dict[sample]
else:
new_entry = {}
if options.dbs:
new_entry["inputDBS"]=options.dbs
new_entry["data"] = is_data(details,options.data)
new_entry["embedded"] = is_embedded(filetype)
new_entry["energy"] = get_energy(pd_name, details, data = new_entry["data"], isembedded=new_entry["embedded"])
new_entry["campaign"] = get_campaign(details, energy=new_entry["energy"])
new_entry["scenario"] = get_scenario(details, energy=new_entry["energy"], data=new_entry["data"])
new_entry["generator"] = get_generator(pd_name, data=new_entry["data"])
new_entry["process"] = get_process(pd_name)
new_entry["format"] = get_format(filetype, default=None)
new_entry["n_events_generated"] = get_n_generated_events(sample, options.dbs)
new_entry["n_files"] = get_n_files(sample, options.dbs)
new_entry["extension"] = get_extension(details)
if options.xsec != "":
new_entry["xsec"] = float(options.xsec)
pprint.pprint(new_entry)
print "The nickname will be: "
print make_nickname(new_entry)
check_nickname_unique(make_nickname(new_entry))
dict[sample] = new_entry
return dict
def main():
parser = optparse.OptionParser(
usage="usage: %prog [options]",
description="Script to extend datasets.json by another sample")
# sample
parser.add_option("-s", "--sample", help="official Sample Sting")
# crosssection
parser.add_option("-x", "--xsec", help="Sample cross section")
(options, args) = parser.parse_args()
sample = options.sample
xsec = float(options.xsec)
#xsec = eval_expr(xsec.replace('x', '*').replace(' ', ''))
dict = database
if "xsec" in dict[sample]:
print "sample already does have a cross-section of " + str(
dict[sample]["xsec"]) + ". Stopping"
sys.exit()
best_guess = suggestion(dict, sample)
if best_guess > 0 and xsec < 0:
print "automatically fetching cross-section from previously known samples"
xsec = best_guess
if xsec <= 0.0:
print "no proper cross-section defined. Stopping"
sys.exit()
dict[sample]["xsec"] = float(xsec)
print "\n new datasets.json entry: "
pprint.pprint(dict[sample])
save_database(dict, dataset)
def main_read_info (options):
"""
IBW -> ASCII conversion
"""
log.debug ("reading %s..." % options.info)
wav = wave_read (options.info)
pprint.pprint (wav.info)
def save_data(dataset):
new_dataset = []
for i, x in enumerate(dataset):
sentence = x['sentenceTokens']
verbs = []
etc = []
print('NEW SOURCE SENTENCE')
#print(sentence)
for vkey in x['verbEntries'].keys():
z = x['verbEntries'][vkey]['questionLabels']
verbs.append([sentence[int(vkey)]])
for qkey in z.keys():
verbs[-1].append([qkey])
for qa in z[qkey]['answerJudgments']:
if qa['isValid']:
verbs[-1][-1].append(qa['spans'][0])
pprint.pprint(verbs)
print(sentence)
print()
if i == 3:
break
def get_top_ten(self):
topten = ['hotmail.com', 'gmail.com', 'yahoo.com', 'aol.com',
'comcast.com', 'mail.ru', 'web.de', 'qq.com', 'gmx.net',
'naver.com']
print "Domain\tTLS\tVerified\t"
results = []
for domain in topten:
self.cur.execute("select id from domains where domain = '%s';" % domain)
dom_id = self.cur.fetchone()[0]
self.cur.execute("select mx_id from domains_mx where domain_id = %s;" % dom_id)
mx_id = self.cur.fetchone()[0]
self.cur.execute("select server_id from mx_servers where mx_id = %s;" % mx_id)
serv_id = self.cur.fetchone()[0]
self.cur.execute("select tls from servers where id = %s;" % serv_id)
tls = self.cur.fetchone()[0]
self.cur.execute("select ssl_verified from servers where id = %s;" % serv_id)
verified = self.cur.fetchone()[0]
results.append([domain, tls, verified])
#num_servers_tls = int(self.cur.fetchone()[0])
#self.cur.execute("select count(*) from Servers where ssl_verified = 'True';")
pprint.pprint(results)
def test_pytorch_linear_nn(self):
"""Test linear pytorch model training and UDF application"""
model = SimpleNetwork()
MachineLearningPytorchTestCase.train_pytorch_model(model=model)
dir = os.path.dirname(openeo_udf.functions.__file__)
file_name = os.path.join(dir, "datacube_pytorch_ml.py")
udf_code = UdfCodeModel(language="python",
source=open(file_name, "r").read())
temp = create_datacube(name="temp",
value=1,
dims=("x", "y"),
shape=(2, 2))
ml = MachineLearnModelConfig(
framework="pytorch",
name="linear_model",
description=
"A pytorch model that adds two numbers in range of [1,1]",
path="/tmp/simple_linear_nn_pytorch.pt")
udf_data = UdfData(proj={"EPSG": 4326},
datacube_list=[temp],
ml_model_list=[ml])
run_user_code(code=udf_code.source, data=udf_data)
pprint.pprint(udf_data.to_dict())
def runTest():
print("Test script:")
import pprint
print("Component tree of all installed components:")
pprint.pprint(getAllComponents_tree())
print("")
test_cfg = RHNOptions(sys.argv[1])
# test_cfg = RHNOptions('server.app')
# test_cfg = RHNOptions('proxy.broker')
# test_cfg = RHNOptions('proxy.redirect', _CONFIG_ROOT)
# test_cfg = RHNOptions('proxy.redirect', '/tmp')
# test_cfg.filename = 'empty.conf'
test_cfg.parse()
print("=============== the object's repr ================================")
print(test_cfg)
print("=============== the object's defaults ============================")
pprint.pprint(test_cfg.getDefaults())
print("=============== an erronous lookup example =======================")
print("testing __getattr__")
try:
print(test_cfg.lkasjdfxxxxxxxxxxxxxx)
except AttributeError:
e = sys.exc_info()[1]
print('Testing: "AttributeError: %s"' % e)
print("")
print("=============== the object's merged settings ======================")
test_cfg.show()
print("=============== dump of all relevant dictionaries =================")
test_cfg.showall()
print("===================================================================")
def handle( self, *args, **options ):
def enrich( obj ):
#s = unicode( obj ).lower()
s = obj.strip().lower()
# simple stop words
s = re.sub( r"\b(the|of|in|a)\b", "", s, re.IGNORECASE )
# type prefixes
s = re.sub( r"^(trailer|review|report|screenshots|video):\s*", "", s, re.IGNORECASE )
return s
trigrams = defaultdict(int)
for ln in sys.stdin:
n = NGram( warp=2.5, iconv=enrich, N=3 )
s = n.iconv( ln )
s = n.pad( s )
for gram in n.ngrams( s ):
trigrams[gram] += 1
max_idf = math.sqrt(math.log(float(len(trigrams))/1.0))
#print len(trigrams)
#return
# set weights to sqrt(log(N/n))
for word in trigrams.keys():
# 1.0 constant to account for missing words
#trigrams[word] = math.sqrt(math.log(float(len(trigrams))/(1.0+trigrams[word])))
# normalize
trigrams[word] = math.sqrt(math.log(float(len(trigrams))/(1.0+trigrams[word])))/max_idf
# (missing trigram) value
trigrams['$$$'] = 1.0
import pprint
pprint.pprint( sorted(trigrams.iteritems(), key=operator.itemgetter(1)) )
def describe_tweets(input_json_file):
## count things
data = []
k = j = 0
with open(input_json_file,'r') as jsonFile:
for tweet in jsonFile:
jObj = json.loads(tweet)
## filter tweets for those that are in English
if jObj[0]['lang']== 'en':
## pop'n the dictionary
twt_stats ={
'usr_ment_cnt': len(jObj.get('entities',{}).get('user_mentions', {})),
'url_cnt' : len(jObj.get('entities',{}).get('urls',{})),
'hstgs_cnt' : len(jObj.get('entities',{}).get('hashtags',{})),
'rt_cnt' : jObj.get('retweet_count'),
'fv_cnt' : jObj.get('favorite_count')
}
pprint.pprint(tw_stats)
data.append(twt_stats)
k +=1
else:
j +=1
#print np.size(data)
print k , 'tweets processed'
not_en = (j/(j+k)) * 100.0
print '%.2f percent of tweets are not English' % (not_en)
return data
def error(self, exception):
# print("lfcli_base error: %s" % exception)
pprint.pprint(exception)
traceback.print_exception(Exception, exception, exception.__traceback__, chain=True)
if self.halt_on_error:
print("halting on error")
sys.exit(1)
def Package_pay(self):
"""统计包支付上报请求 https://ssl08.haloapps.com/p/ggdirect """
event = Reqspon.Recode(
recode_file="doublewin.har",
read_file="doublewin.yml",
yaml_name="/p/ggdirect",
yaml_url="https://ssl08.haloapps.com/p/ggdirect")
"""
同样的地址抓捕的时候抓出很多会话，找出符合条件的请求
"""
Session = []
for id, data in enumerate(event[0:]):
session = event[id]
Session.append(session)
#if data["request"]["json"]["eventName"] == "af_purchase": # 相同地址多个会话的请求
# pprint(event[id])
#session = event[id]
#Session.append(session)
pprint.pprint(Session)
idn = 0 # 相同的数据 取数控制器
revent = Session[idn] # 取刷选后请求的第一个
url = revent["request"]["url"]
data = revent["request"]["data"]
headers = revent["request"]["headers"]
method = revent["request"]["method"]
res = requests.post(url=url, data=data, headers=headers)
##############
# 写入当前时间，下标从1开始
now = int(time.time()) # 显示为时间戳
timeArray = time.localtime(now)
currentTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
#########################
respon_status_code = res.status_code # 返回状态码
respon_headers = res.headers # 返回头
respon_body = json.loads(res.text) # 返回体
respon_cookies = res.cookies
respon_history = res.history
print(respon_body)
print(respon_status_code, respon_headers, respon_cookies, respon_body,
respon_history)
if respon_status_code == 200:
"""处理返回数据解析表格输出数据"""
idnum = idn + 1 ##序号
code = respon_status_code
message = respon_body["message"] # 返回信息
product_id = data["product_id"] ##产品ID
player_id = data["cp_player_id"] # 用户账户
userid = data["device_id"] # userID
game_version = data["product_version"] # 游戏版本
sdk_version = "None" # SDK版本
androidid = "None" #Android ID
event_list = [
idnum, code, message, product_id, player_id, userid,
game_version, sdk_version, androidid, currentTime
]
print(event_list)
return event_list
def Accountkit(self):
"""统计包登陆上报请求 https://accountkit.haloapps.com/v1.0/account/trace """
event = Reqspon.Recode(
recode_file="doublewin.har",
read_file="doublewin.yml",
yaml_name="/v1.0/account/trace",
yaml_url="https://accountkit.haloapps.com/v1.0/account/trace")
"""
同样的地址抓捕的时候抓出很多会话，找出符合条件的请求
"""
Session = []
for id, data in enumerate(event[0:]):
session = event[id]
Session.append(session)
#if data["request"]["json"]["eventName"] == "af_purchase": # 相同地址多个会话的请求
# pprint(event[id])
#session = event[id]
#Session.append(session)
print(id)
pprint.pprint(Session)
idn = 0 # 相同的数据 取数控制器
revent = Session[idn] # 取刷选后请求的第一个
url = revent["request"]["url"]
data = revent["request"]["data"]
headers = revent["request"]["headers"]
method = revent["request"]["method"]
res = requests.post(url=url, data=data, headers=headers)
##############
# 写入当前时间，下标从1开始
now = int(time.time()) # 显示为时间戳
timeArray = time.localtime(now)
currentTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
#########################
respon_status_code = res.status_code # 返回状态码
respon_headers = res.headers # 返回头
respon_body = json.loads(res.text) # 返回体
respon_cookies = res.cookies
respon_history = res.history
print(respon_body)
print(respon_status_code, respon_headers, respon_cookies, respon_body,
respon_history)
if respon_status_code == 200:
"""处理返回数据解析表格输出数据"""
idnum = idn + 1 ##序号
code = respon_status_code #请求状态返回code
message = respon_body["message"] # 返回信息
vid = respon_body["data"]["vid"] ##vid
player_id = data["gameAccountId"] # 玩家账号 也是用户信息
userid = data["staToken"] # userID
token = data["thirdPartyToken"] # 三方token
package_name = data["packageName"] # 包名
platform = data["platform"] #平台
event_list = [
idnum, code, message, vid, player_id, userid, token,
package_name, platform, currentTime
]
print(event_list)
return event_list
def main(files):
import pprint
if not files: raise Exception("usage: %s foo.html [bar.html ...]" % sys.argv[0])
for fname in files:
print "%s as person:" % fname
print pprint.pprint(scrape_person(fname))
print "%s as state:" % fname
print pprint.pprint(scrape_state(fname))
def write(self, obj):
"""Serialize."""
from io import StringIO
output = StringIO()
pprint.pprint(obj, stream=output, indent=4)
contents = output.getvalue()
output.close()
return contents
def write(self, obj):
"""Serialize."""
from io import StringIO
output = StringIO()
pprint.pprint(obj, stream=output, indent=4)
contents = output.getvalue()
output.close()
return contents
def main_pack_list (options):
'''
Lists contents of Igor Packed file
'''
log.debug ("Scanning %s...")
pack_tree = pack_scan_tree (options.list)
print "Pack Tree:"
pprint.pprint (pack_tree)
def printData(self):
vehicle_info = dict({
'vid':self.vid,
'VDI':self.VDI,
'VTI':self.VTI,
'RTI':self.RTI
})
pprint.pprint(test, width=20, indent=2)
def getDates(client):
startDATE = os.getenv('startDATE', "")
endDATE = os.getenv('endDATE', "")
if startDATE == "":
print '>>> Calculating StartDATE '
date_query = " select max(date) as date from " + DATASET_ID + "." + MASTER_TABLE_ID
print(">>> " + date_query)
date_query_job = client.query(date_query)
try:
results = date_query_job.result()
print '>>> Executed the max Date query '
print '>>> Fetching the date row,if any '
for row in results:
if row.date == None:
startDATE = ""
else:
startDATE = str(row.date)
startDATE = datetime.datetime.strptime(startDATE, '%Y%m%d').strftime("%Y-%m-%d")
if startDATE == "":
print '>>> No max Date row '
yesterDate = (datetime.datetime.now() - datetime.timedelta(2)).strftime('%Y-%m-%d')
startDATE = yesterDate
else:
print '>>> setting the startDATE to next day of last updated data'
tempDATE = str(datetime.datetime.strptime(startDATE, "%Y-%m-%d") - datetime.timedelta(2))
print tempDATE
startDATE = str(datetime.datetime.strptime(tempDATE, '%Y-%m-%d 00:00:00').strftime("%Y-%m-%d"))
print '>>> startDate is: ' + startDATE
except Exception as e:
pprint.pprint(">>> Failed to get Max Date from the Master Table %s " % e)
type_, value_, traceback_ = sys.exc_info()
pprint(traceback.format_tb(traceback_))
print(type_, value_)
sys.exit(1)
else:
print '>>> Settiing startDATE from Jenkins parm'
startDATE = os.environ['startDATE']
if endDATE == "":
print '>>> Going to calculate endDate'
yesterDate = (datetime.datetime.now() - datetime.timedelta(2)).strftime('%Y-%m-%d')
endDATE = yesterDate
else:
print '>>> Setting the endDATE from Jenkins parm'
endDATE = os.environ['endDATE']
startDATE = str(startDATE)
endDATE = str(endDATE)
if startDATE > endDATE:
print '>>> startDATE greater than endDATE ?? I am setting both as endDATE'
startDATE = endDATE
print '>>> startDate : ' + startDATE
print '>>> endDate: ' + endDATE
return [startDATE, endDATE]
def push(self, message: dict):
if message['type'] in self.messageTypes:
logging.debug("MESSAGE RECEIVED")
pprint.pprint(message)
messageType = self.messageTypes[message['type']]
message = messageType(message)
self.signal.emit(message)
else:
logging.debug("INVALID MESSAGE TYPE", message['type'])
def test_user_feeds(self):
feeds = self.user.get_feeds()
self.assertIsNotNone(feeds)
for item in feeds['resource']['link']:
print "%s => %s" % (item['title'], item['href'])
try:
#pass
dump_object(self.user.get_resource(item['href']))
except NetflixError as e:
pprint.pprint(e)
def test_relativize(self):
rel = relativize_datestamps(TASK_DEF)
import pprint
pprint.pprint(rel)
assert rel["created"] == {"relative-datestamp": "0 seconds"}
assert rel["deadline"] == {"relative-datestamp": "86400 seconds"}
assert rel["expires"] == {"relative-datestamp": "31536001 seconds"}
assert rel["payload"]["artifacts"]["public"]["expires"] == {
"relative-datestamp": "31536000 seconds"
}
def fit_all_models(self, pipe=True, cv=4, n_iter=10):
for label in self.dicts.keys():
print ('Check %s' % label)
# send label to distributer if not yet estimated
if label not in self.result.keys():
if pipe:
self._piped_distributer(label, cv, n_iter)
else:
self._distributer(label, cv, n_iter)
else:
pprint.pprint(('score: %0.2f') % self.result[label]['score'])
def index():
# Auth Step 1: Authorization
url_args = "&".join([
"{}={}".format(key, urllib.request.quote(val))
for key, val in auth_query_parameters.items()
])
auth_url = "{}/?{}".format(SPOTIFY_AUTH_URL, url_args)
return redirect(auth_url)
#@app.route("/callback/q")
#def callback():
# Auth Step 4: Requests refresh and access tokens
auth_token = request.args['code']
code_payload = {
"grant_type": "authorization_code",
"code": str(auth_token),
"redirect_uri": REDIRECT_URI
}
base64encoded = base64.b64encode("{}:{}".format(CLIENT_ID, CLIENT_SECRET))
headers = {"Authorization": "Basic {}".format(base64encoded)}
post_request = requests.post(SPOTIFY_TOKEN_URL,
data=code_payload,
headers=headers)
# Auth Step 5: Tokens are Returned to Application
response_data = json.loads(post_request.text)
access_token = response_data["access_token"]
refresh_token = response_data["refresh_token"]
token_type = response_data["token_type"]
expires_in = response_data["expires_in"]
# Auth Step 6: Use the access token to access Spotify API
authorization_header = {"Authorization": "Bearer {}".format(access_token)}
Requests = requests.get('https://api.spotify.com/v1/me/top/tracks',
headers=authorization_header)
r = Requests.json()
pprint.pprint(r)
# Get profile data
user_profile_api_endpoint = "{}/me".format(SPOTIFY_API_URL)
profile_response = requests.get(user_profile_api_endpoint,
headers=authorization_header)
profile_data = json.loads(profile_response.text)
# Get user playlist data
playlist_api_endpoint = "{}/playlists".format(profile_data["href"])
playlists_response = requests.get(playlist_api_endpoint,
headers=authorization_header)
playlist_data = json.loads(playlists_response.text)
# Combine profile and playlist data to display
display_arr = [profile_data] + playlist_data["items"]
def test():
tags = count_tags('example.osm')
pprint.pprint(tags)
assert tags == {'bounds': 1,
'member': 3,
'nd': 4,
'node': 20,
'osm': 1,
'relation': 1,
'tag': 7,
'way': 1}
def main():
updater = Updater(os.environ['BOT_TOKEN'])
updater.dispatcher.add_handler(
InteractiveHandler(
start_game,
entry_points=[
CommandHandler('start_game', None),
],
fallbacks=[
CommandHandler('cancel', cancel_game),
CallbackQueryHandler(info_button, pattern=r'^info$'),
],
per_chat=True,
per_user=False,
per_message=False,
))
updater.dispatcher.add_handler(CommandHandler('help', help))
webhook_port = os.environ.get('WEBHOOK_PORT')
if webhook_port:
sys.stdout.flush()
webhook_url = os.environ.get(
'URL_PREFIX', 'https://%s:%s/' % (
os.environ['WEBHOOK_FQDN'],
webhook_port,
)) + 'api/' + os.environ['BOT_TOKEN']
updater.start_webhook(
listen=os.environ.get('WEBHOOK_LISTEN', '0.0.0.0'),
port=int(webhook_port),
url_path='api/' + os.environ['BOT_TOKEN'],
key=os.environ.get('WEBHOOK_KEY'),
cert=os.environ.get('WEBHOOK_CERT'),
webhook_url=webhook_url,
clean=True,
)
info = updater.bot.get_webhook_info()
print('Webhook info:')
import pprint
pprint.pprint(str(info))
else:
updater.start_polling(clean=True, timeout=10)
print('Blood Bound Bot ready for serving!')
sys.stdout.flush()
updater.idle()
def optimise_smallest_distance_with_intensity(enders, starters, end, intense):
import itertools
import numpy as np
import pprint as pp
if len(starters) > 2 * len(enders):
# exit(f'Too many daugters: {len(starters)} daughters for {len(enders)} parents')
enders += ['blank']
if len(starters) != 2 * len(enders):
starters += ['blank'] * (2 * len(enders) - len(starters))
total_dis_dic = {}
# print(list(itertools.permutations(starters, 4)), enders)
loop = 0
for startCells in itertools.permutations(starters, 4):
tot_dis = 0
loop += 1
for endCell, stCellgroup in zip(
enders, np.array_split(startCells, len(enders))):
for stC in stCellgroup:
if stC == 'blank' or endCell == 'blank':
tot_dis += 10000
continue
stx, sty, stz = pos_dic[end + 1][stC]
endx, endy, endz = pos_dic[end][endCell]
dis = (stx - endx)**2 + (sty - endy)**2 + (stz - endz)**2
tot_dis += dis
total_dis_dic[tot_dis] = (enders, startCells)
pp.pprint(total_dis_dic)
min_dis = min(total_dis_dic)
linked = []
ender_Cells, start_Cells = total_dis_dic[min_dis]
for endCell, stCellgroup in zip(
ender_Cells, np.array_split(start_Cells, len(ender_Cells))):
for stC in stCellgroup:
linked.append((endCell, stC))
return linked
def process_message(data, config={}):
global ADMIN, database, slack
slack = config.get('slack_client', None)
ADMIN = config.get('ADMIN', '')
database = config.get('database', None)
channel_id = data['channel']
channelname = slack.get_channelname(channel_id)
user = {}
user['id'] = get_user_id(data)
if not user['id']:
return
conn = sqlite3.connect(database)
c = conn.cursor()
import pprint
pprint.pprint(data)
import sys
sys.stdout.flush()
if data['text'].startswith("!"):
freq_table = 'cmd_freq'
else:
freq_table = 'chat_freq'
c.execute(
'''create table if not exists {} (user TEXT PRIMARY KEY, count INT)'''.
format(freq_table))
c.execute(
'''create table if not exists friends (id INTEGER PRIMARY KEY AUTOINCREMENT, user_a TEXT, user_b TEXT, UNIQUE (user_a, user_b) ON CONFLICT IGNORE)'''
)
c.execute(
'''create table if not exists coins (user TEXT PRIMARY KEY, coins INTEGER DEFAULT 0)'''
)
c.execute(
'''create table if not exists pokemons (id INTEGER PRIMARY KEY AUTOINCREMENT, user TEXT, race INTEGER, level INTEGER, exp INTEGER, i_hp INTEGER, i_atk INTEGER, i_def INTEGER, i_satk INTEGER, i_sdef INTEGER, i_spd INTEGER)'''
)
conn.commit()
user['name'] = slack.get_username(user['id'])
print("[general] msg: {} from username: {}, channel: {} ({})".format(
data['text'].encode('utf8'), user['name'], channelname, channel_id))
if data['text'].startswith("!"):
msgs = data['text'].split(" ")
if len(msgs) == 2:
cmd = msgs[0]
target = msgs[1]
binary_command(cmd, target, channel_id, user, conn)
elif len(msgs) == 1:
cmd = msgs[0]
unary_command(cmd, channel_id, user, conn)
update_freq(data['text'], user['name'], conn)
conn.close()
def show_invoice(request):
invoice_data = {}
client = MongoClient('mongodb://localhost:27017/')
db = client['invoices']
collection = db['invoices']
print collection.find_one({"_id": ObjectId(request.matchdict['invoice_id'])})
invoice_data = collection.find_one({"_id": ObjectId(request.matchdict['invoice_id'])})
collection = db['core_data']
import pprint
invoice_data['core_data'] = collection.find_one({})
pprint.pprint(collection.find_one({}))
pprint.pprint(invoice_data['core_data']['company_name'])
return invoice_data
def _piped_distributer(self, label, cv, n_iter):
normal = Normalizer()
pca = PCA()
selection = SelectKBest(k='all')
features = FeatureUnion(['reduction', pca], ('selection', selection))
clf = self.dicts[label]['clf']
pipeline = Pipeline([('scale', normal),
('features', features),
('clf', clf)])
piped_param = {}
piped_param['features__reduction__n_components'] = [5]
for (name, value) in self.dicts[self.label]['param'].items():
piped_param['clf__' + name] = value
try:
print ('try RandomizedSearchCV...')
start = time()
rs = RandomizedSearchCV(estimator=pipeline,
param_distributions=piped_param,
scoring=self.scoring,
cv=self.cv,
n_jobs=-1,
n_iter=self.n_iter)
# else grid search cv
except ValueError:
print ('try GridSearchCV...')
start = time()
rs = GridSearchCV(estimator=pipeline,
param_grid=piped_param,
scoring=self.scoring,
cv=self.cv,
n_jobs=-1)
rs.fit(self.X_train, self.y_train)
self.result[label] = {}
self.result[label]['clf'] = rs.best_estimator_
self.result[label]['score'] = rs.best_score_
self.result[label]['time'] = time() - start
self.result[label]['set'] = ('n_iter: %s cv: %s' % (n_iter, cv))
pprint.pprint(self.result[label])
pprint.pprint(rs.grid_scores_)
out_result = open(self.result_address, 'wb')
pickle.dump(self.result, out_result)
out_result.close()
def test_get_about(self):
return
entry_id_1 = u'11EIs1ZxCykme0FnAdY8Xm_ktUCQ9y5lHC3EwAKFsiFk'
entry1 = EntryCache.get_instance().cache.get(entry_id_1)
# result = PathRelations.get_instance().register_entry(entry1)
entry_id_2 = u'0AJFt2OXeDBqSUk9PVA'
# entry2 = EntryCache.get_instance().cache.get(entry_id_2)
# result = PathRelations.get_instance().register_entry(entry2)
path_relations = PathRelations.get_instance()
#print(len(entry.parents))
# path_relations.dump_ll()
# print(AccountInfo().root_id)
# path_relations.dump_entry_clause('0AJFt2OXeDBqSUk9PVA')
# PathRelations.get_instance().dump_entry_clause('0B5Ft2OXeDBqSSmdIek1aajZtVDA')
# return
# entry_clause = path_relations.get_entry_clause_by_id(entry_id_1)
#result = path_relations.find_path_components_goandget('/')
result = path_relations.get_child_filenames_from_entry_id(entry_id_2)
from pprint import pprint
pprint(result)
# result = EntryCache.get_instance().cache.get(u'11EIs1ZxCykme0FnAdY8Xm_ktUCQ9y5lHC3EwAKFsiFk')
# result = EntryCache.get_instance().cache.get(u'11EIs1ZxCykme0FnAdY8Xm_ktUCQ9y5lHC3EwAKFsiFk')
# result = EntryCache.get_instance().cache.get(u'11EIs1ZxCykme0FnAdY8Xm_ktUCQ9y5lHC3EwAKFsiFk')
# result = EntryCache.get_instance().cache.get(u'11EIs1ZxCykme0FnAdY8Xm_ktUCQ9y5lHC3EwAKFsiFk')
# print(result)
return
# result = AccountInfo().root_id
#about = drive_proxy('get_about_info')
# entries = drive_proxy('get_children_under_parent_id', parent_id=about.root_id)
#entries = drive_proxy('get_parents_over_child_id', child_id=u'11EIs1ZxCykme0FnAdY8Xm_ktUCQ9y5lHC3EwAKFsiFk')
# print(response[u'rootFolderId'])
import pprint
# pprint.pprint(response[u'importFormats'])
pprint.pprint(result)
def write(self, output, resources, notebook_name='notebook', **kw):
"""
Consume and write Jinja output.
See base for more...
"""
if 'outputs' in resources:
print("outputs extracted from %s" % notebook_name)
print('-' * 80)
pprint.pprint(resources['outputs'], indent=2, width=70)
else:
print("No outputs extracted from %s" % notebook_name)
print('=' * 80)
def process_map(file_in, pretty = False):
# You do not need to change this file
file_out = "{0}.json".format(file_in)
data = []
with codecs.open(file_out, "w") as fo:
for _, element in ET.iterparse(file_in):
el = shape_element(element)
if el:
data.append(el)
if pretty:
fo.write(json.dumps(el, indent=2)+"\n")
else:
fo.write(json.dumps(el) + "\n")
return data
pprint.pprint(data)
def test_execution():
""" Method loads a sample corpus, executes the extraction
and prints the state of the etractor for inspection.
"""
#f = open('corpora/easy', 'r')
#text = f.read()
#f.close()
from corpus import get_wiki_text
text = get_wiki_text()
extractor = C_NC_TermExtractor(text)
extractor.compute_cnc()
import pprint
pprint.pprint(extractor.__dict__)
def remove_matching_entries(dict, query): remove_samples = [] for sample, values in dict.iteritems(): matches = True for name, attribute in values.iteritems(): if not name in query: continue if not (re.match(str(query[name]), str(attribute)) != None):#query[name] != attribute: matches = False if matches: remove_samples.append(sample) print "removing the following samples: " pprint.pprint( remove_samples) for sample in remove_samples: del dict[sample] return dict
def display_tree(tree):
if nltk_is_available:
count = 0
for t in tree:
cf = CanvasFrame()
tc = TreeWidget(cf.canvas(), t)
cf.add_widget(tc, 10, 10)
count += 1
fileName = "tree" + repr(count) + ".ps"
cf.print_to_file(fileName)
cf.destroy()
else:
count = 0
for t in tree:
count += 1
fileName = "tree" + repr(count) + ".txt"
pprint.pprint(t, fileName)
def test_update_facebook_share_settings(self):
# verify that the linked account was properly added
linkedAccounts = self.showLinkedAccounts(self.token)
self.assertEqual(len(linkedAccounts), 1)
self.assertEqual(linkedAccounts['facebook']['service_name'], 'facebook')
# update share settings: enable share stamps on facebook
path = "account/linked/facebook/settings/update.json"
data = {
"oauth_token" : self.token['access_token'],
'service_name' : 'facebook',
'on' : 'share_stamps,share_follows,share_todos,share_likes',
}
self.handlePOST(path, data)
# verify that share settings were updated
linkedAccounts = self.showLinkedAccounts(self.token)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_stamps'], True)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_follows'], True)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_todos'], True)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_likes'], True)
data = {
"oauth_token" : self.token['access_token'],
'service_name' : 'facebook',
'off' : 'share_stamps,share_follows',
}
self.handlePOST(path, data)
linkedAccounts = self.showLinkedAccounts(self.token)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_stamps'], False)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_follows'], False)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_todos'], True)
self.assertEqual(linkedAccounts['facebook']['share_settings']['share_likes'], True)
path = "account/linked/facebook/settings/show.json"
data = {
"oauth_token" : self.token['access_token'],
"service_name" : 'facebook',
}
result = self.handleGET(path, data)
import pprint
pprint.pprint(result)
def main(args):
"""
The main process docstring
This function is called when this module is invoked from
the commandline
"""
print "main"
if args.file:
test_image = os.path.abspath(args.file)
else:
raise Exception("No test image input!")
# test_image = ""
header = read_header(test_image)
pprint.pprint(header)
def main():
parser = optparse.OptionParser(usage="usage: %prog [options]",
description="Script to extend datasets.json by another sample")
# sample
parser.add_option("-s", "--sample", help="official Sample Sting")
# crosssection
parser.add_option("-x", "--xsec", help="Sample cross section")
(options, args) = parser.parse_args()
sample = options.sample
xsec = options.xsec
xsec = eval_expr(xsec.replace('x', '*').replace(' ', ''))
dict = load_database(dataset)
dict[sample]["xsec"] = float(xsec)
import pprint
pprint.pprint( dict[sample])
save_database(dict, dataset)
def test_basics():
"""Test the progress being made
"""
code = get_code()
insert_project(
"Test Proj", # Name of test project
"/home/wg", # location of the project on the local file system
"https://github.com/testus/test", # URL of project on web
code # collection to insert this data into
)
for x in code.find():
pprint.pprint(x)
code.remove({"name":"Test Proj"})
assert code.count() == 0
