def main():
parser = argparse.ArgumentParser(description='Formatter for C language')
parser.add_argument('--train', dest='train', type=str, help='Train classifier on that folder')
parser.add_argument('--classifier_filename', dest='classifier_filename', type=str, default='linux_classificators.data',
help='In which file save classifier')
parser.add_argument('--clftab', dest='clftab', type=str,
choices=['solving_tree', 'kneighbors', 'svm', 'random_forest'], default='random_forest',
help='Type of classifier for tabs')
parser.add_argument('--clfspace', dest='clfspace', type=str,
choices=['solving_tree', 'kneighbors', 'svm', 'random_forest'], default='random_forest',
help='Type of classifier for spaces')
parser.add_argument('--clfnl', dest='clfnewline', type=str,
choices=['solving_tree', 'kneighbors', 'svm', 'random_forest'], default='random_forest',
help='Type of classifier for newlines')
parser.add_argument('--load_clfs', dest='clfs', type=str, help='Load previously saved classifiers')
parser.add_argument('file', help='File to process', nargs='?')
args = parser.parse_args()
clfs = None
if args.train is not None:
clfs = learning.generate_classifiers(args)
dumper.dump(clfs, learning.vectorizer, args.classifier_filename)
elif args.clfs is not None:
data = dumper.load(args.clfs)
clfs = data['classifiers']
learning.vectorizer = data['vectorizer']
if args.file is not None:
print("Processing file...")
data = learning.format_file(args.file, clfs['newline'], clfs['space'], clfs['tab'])
print(data)
def DeleteURL(self):
#response.text type is unicode; json.dumps type is str
try:
response = requests.delete(self.vURL, headers=self.vHeaders, verify=False, timeout=15)
response.raise_for_status()
except requests.exceptions.RequestException as e: # This is the correct syntax
print e
#full = json.loads(unicode(response.text))
#t1 = pyjq.all('. | { message }', full)
#t2 = pyjq.all('.error_code | { code }', full)
#print 'error(%s): %s' % (t2[0]['code'], t1[0]['message'])
#sys.exit(9)
#print json.dumps(response.json(), indent=2)
if self.vIsDebug:
dumper.dump(response)
if response.text:
return {
'status_code': response.status_code,
'text': response.json()
}
else:
return {
'status_code': response.status_code,
'text': 'NULL'
}
def contextMenuEvent(self, event):
dumper.dump(event)
contextMenu = QtWidgets.QMenu(self)
newAct = contextMenu.addAction("New")
openAct = contextMenu.addAction("Open")
quitAct = contextMenu.addAction("Quit")
action = contextMenu.exec_(self.mapToGlobal(event.pos()))
if action == quitAct:
self.close()
def main():
Great_Room = LogiHub()
current = Great_Room.hub.currentactivity()
print(current)
#try turning volume down
#Great_Room.hub.sendkey(device = '60692019',key = 'VolumeDown')
# Great_Room.get_hub()
# print out configuration
config = Great_Room.hub.getconfig()
#volume up
dumper.dump(config['activity'][4]["controlGroup"][1]['function'][1])
def jsonpath_value(obj, path):
if '.' in path:
try:
elem = parse(path).find(obj)[0].value
except IndexError as e:
print(f'{e}: {path}')
dump(obj)
elem = None
else:
elem = obj.get(path)
return elem
def run2(opts):
try:
api = finding(debug=opts.debug, appid=opts.appid, config_file=opts.yaml)
response = api.execute('findItemsByProduct',
'<productId type="ReferenceID">53039031</productId><paginationInput><entriesPerPage>1</entriesPerPage></paginationInput>')
dump(api)
except ConnectionError as e:
print(e)
print(e.response.dict())
def categoryInfo(opts):
try:
api = Shopping(debug=opts.debug, appid=opts.appid, config_file=opts.yaml,
warnings=True)
response = api.execute('GetCategoryInfo', {'CategoryID': '63863'})
dump(api, full=False)
except ConnectionError as e:
print(e)
print(e.response.dict())
def main():
options = parse_command_line()
OAUTH = utils.AUTH(options.server)
if options.debug:
dumper.dump (OAUTH)
return
ok_to_proceed = ( hasattr(OAUTH,'user') and
hasattr(OAUTH,'password') and
hasattr(OAUTH,'url') and hasattr(OAUTH,'wsdl'))
if ok_to_proceed:
url = urljoin(getattr(OAUTH,'url'), getattr(OAUTH,'wsdl'), allow_fragments=True)
server = SOAPpy.WSDL.Proxy(url)
if server is not None:
token = authentication( server = server,
user = getattr(OAUTH,'user'),
password = getattr(OAUTH,'password'))
if token is not None:
try:
objects = DISPATCH[options.action]( server = server,
token = token,
id = options.id,
debug = options.debug )
if objects is not None:
print objects
except InsufficientArguments as e:
raise SystemExit(e)
except AuthenticationException as e:
raise SystemExit(e)
except Exception as e:
raise SystemExit(e)
else:
SystemExit('Failed to get token')
else:
SystemExit('Failed to create server')
return
def __init__(self, thisyear):
self.thisyear = thisyear
try:
self.jourlist = self.getJourlist(
) # get the day numbers + dates as dict
self.etudes = self.getEtudelist(
) # get the schedule of study periods
self.datelist = self.makeDatelist(
) # produce datelist for ical input
ical.ICAL.__init__(
self, self.datelist.split('\n')) # prime ical class with data
except:
import dumper
dumper.dump(self) # do a big data dump!
def match(self):
matcher = audfprint_match.Matcher()
matcher.find_time_range = True
matcher.verbose = 1
matcher.max_returns = 100
analyzer = audfprint_analyze.Analyzer()
analyzer.n_fft = 512
analyzer.n_hop = analyzer.n_fft / 2
analyzer.shifts = 1
# analyzer.exact_count = True
analyzer.density = 20.0
analyzer.target_sr = 11025
hash_tab = hash_table.HashTable("./samples.pklz")
hash_tab.params['samplerate'] = analyzer.target_sr
qry = "./Samples/viral.afpt"
rslts, dur, nhash = matcher.match_file(analyzer, hash_tab,
"./Samples/viral.afpt", 0)
t_hop = analyzer.n_hop / float(analyzer.target_sr)
qrymsg = qry + (' %.1f ' % dur) + "sec " + str(nhash) + " raw hashes"
msgrslt = []
if len(rslts) == 0:
nhashaligned = 0
msgrslt.append("NOMATCH " + qrymsg)
else:
for (tophitid, nhashaligned, aligntime, nhashraw, rank, min_time,
max_time) in rslts:
# msg = ("Matched {:6.1f} s starting at {:6.1f} s in {:s}"
# " to time {:6.1f} s in {:s}").format(
# (max_time - min_time) * t_hop, min_time * t_hop, qry,
# (min_time + aligntime) * t_hop, hash_tab.names[tophitid])
msg = (
"Matched {:6.1f} s starting at {:6.1f} s in {:s}"
" to time {:6.1f} s in {:n}; max {:6.1f} min {:6.1f} align {:6.1f} hop {:6.1f}"
).format(
(max_time - min_time) * t_hop,
min_time * t_hop,
qry,
(min_time + aligntime) * t_hop,
tophitid, #),
max_time * t_hop,
min_time * t_hop,
aligntime * t_hop,
t_hop)
msgrslt.append(msg)
dumper.dump(msgrslt)
def do_dump_scalars():
dump(1)
dump('a')
dump("foo")
dump('''string
with a newline''')
return "1'a''foo''string\\nwith a newline'"
def store(self):
now = datetime.datetime.now()
total = 0
for site in self.sites:
v = getattr(self, site)
m = v()
num = m.replace("$", "")
total += Decimal(num)
site_list = dumper.load(site, silent=True, path=BASE_DIR) or []
site_list.append({'site': site, 'datetime': now, 'total': num})
dumper.dump(site_list, site, path=BASE_DIR)
total_list = dumper.load('total', silent=True, path=BASE_DIR) or []
total_list.append({'site': total, 'datetime': now, 'total': total})
dumper.dump(total_list, "total", path=BASE_DIR)
print "store file {}".format(now)
def newlistbox(self,choice):
if choice == 1:
dumper.dump(self.nimilista)
self.nimilista = {}
a = tkinter.simpledialog.askstring('Anna etsittävän tiedoston nimi', 'Tiedoston nimi:')
self.nimilista = dumper.specificload(a)
if self.nimilista == {}:
tkinter.messagebox.showinfo('File not found','Specific file not found')
self.nimilista = dumper.load()
self.listbox.delete(0,'end')
for i in self.nimilista:
self.listbox.insert('end',i)
if choice == 2:
a = tkinter.simpledialog.askstring('Anna tallennettavan tiedoston nimi','Tiedoston nimi: ')
dumper.specificdump(self.nimilista,a)
def main():
parser = argparse.ArgumentParser(
description='run solver',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input_file_paths',
nargs='+',
type=str,
help='input file paths e.g. a_example.in')
parser.add_argument('--out',
dest="output_file_path",
default='out',
type=str,
help='output file path e.g. a_example.out')
parser.add_argument('--solver',
type=str,
default='dummy',
help='solver name e.g. <solver>.py')
parser.add_argument('--debug',
action='store_true',
help='for debug purpose')
args = parser.parse_args()
set_log_level(args)
for input_file_path in args.input_file_paths:
start = timer()
images = parse(input_file_path)
end = timer()
logging.debug('parsing input took %s s', end - start)
start = timer()
solver = get_solver(args.solver)
slides = solver.solve(images)
end = timer()
logging.debug('solving took %s s', end - start)
start = timer()
file_name, _ = os.path.splitext(input_file_path)
dump(slides, file_name + '.out')
end = timer()
logging.debug('dumping took %s s', end - start)
def run_unicode(opts):
try:
api = finding(debug=opts.debug, appid=opts.appid,
config_file=opts.yaml, warnings=True)
api_request = {
'keywords': u'Kościół',
}
response = api.execute('findItemsAdvanced', api_request)
for i in response.reply.searchResult.item:
if i.title.find(u'ś') >= 0:
print("Matched: %s" % i.title)
break
dump(api)
except ConnectionError as e:
print(e)
print(e.response.dict())
def handle_item(ctx, drive_file, path):
file_attr = FileAttr(drive_file, ctx.user)
file_attr.compare_metadata_to_local_file(drive_file)
file_attr.compare_YAML_metadata_MD5(drive_file)
if FLAGS.revisions:
verify_revisions(ctx, drive_file)
if drive_file['status'] == 'INVALID':
print(22 * '_', ' drive_file ', dirent.name)
dump(drive_file)
print(11 * '_', ' file attr ', dirent.name)
dump(file_attr)
data = jsonpath_list(drive_file, metadata_names)
if writer:
writer.writerow(data)
if output_format:
print(
output_format.format(
*[str(i) for i in data]).rstrip())
if (FLAGS.diffs and drive_file.get('yamlMD5Match')
== 'MISMATCH'):
print_obj_diffs(drive_file,
file_attr.metadata_file)
def enumerate(base, pos, arch):
version = int(arch.split("_")[1])
for i in range(1 << len(pos)):
bits = 0x0
enc = base
# Expresss i in binary
for j in range(len(pos)):
bits = (((i >> j) & 0x1) << pos[j]) | bits
enc = enc & (~(1 << pos[j]))
dump_file = dump("0x{:016x}".format(enc | bits), arch)
if dump_file and dump_file.find("?") == -1 and dump_file.find("error") == -1 and dump_file.find("INVALID") == -1:
line = dump_file.split("\n")
if version < 40:
line_inst = line[1].split();
else:
line_inst = line[5].split();
line_inst.pop(0)
logging.info("0b{:064b}".format(bits) + ": " + " ".join(line_inst))
def pull(package, dest):
try:
# Directory pull to be implemented in ppadb, using standalone binary
# output = self.device.pull("/data/data/%s %s" % (package, dest))
try:
cmd = ['adb', 'pull', "/data/data/%s" % package, dest]
adb = subprocess.Popen(cmd)
adb.wait()
except:
print("[-] Error while dumping app data.")
filelist = dumper.fast_scandir(dest)
dumper.dump(filelist,'xml',dest)
dumper.dump(filelist,'sqlite',dest)
dumper.dump(filelist,'json',dest)
except FileNotFoundError as e:
print(e)
def annotate(self, conllinput=None, language=None):
""" Run the semantic role labelling
:var conllinput: string -- text to annotate formated in the CoNLL
format. If None, annotate
Return the same string than conllinput but with new colums
corresponding to the frames and roles found
"""
self.logger.info("annotate: {} {}".format(language, conllinput))
model = probabilitymodel.ProbabilityModel(self.verbnet_classes, 0)
if language is not None:
options.Options.language = language
tmpfile = None
if conllinput is not None:
if options.Options.debug:
tmpfile = tempfile.NamedTemporaryFile(delete=False)
self.logger.error('Debug mode: will not delete temporary file {}'.format(tmpfile.name))
else:
tmpfile = tempfile.NamedTemporaryFile(delete=True)
tmpfile.write(bytes(conllinput, 'UTF-8'))
tmpfile.seek(0)
options.Options.conll_input = tmpfile.name
options.Options.argument_identification = True
# self.logger.debug("Annotating {}...".format(conllinput[0:50]))
all_annotated_frames = []
all_vn_frames = []
self.logger.info("Loading gold annotations "
"and performing frame matching...")
# annotated_frames: list of FrameInstance
# vn_frames: list of VerbnetFrameOccurrence
for annotated_frames, vn_frames in corpuswrapper.get_frames(
options.Options.corpus,
self.verbnet_classes,
self.frameNet,
options.Options.argument_identification):
all_matcher = []
#
# Frame matching
#
data_restr = NoHashDefaultDict(lambda: Counter())
assert len(annotated_frames) == len(vn_frames)
# gold_frame: FrameInstance
# frame_occurrence: VerbnetFrameOccurrence
for gold_frame, frame_occurrence in zip(annotated_frames,
vn_frames):
if gold_frame.predicate.lemma not in self.frames_for_verb:
errorslog.log_vn_missing(gold_frame)
continue
stats.stats_data["frames_with_predicate_in_verbnet"] += 1
stats.stats_data["args"] += len(gold_frame.args)
stats.stats_data["args_instanciated"] += len(
[x for x in gold_frame.args if x.instanciated])
num_instanciated = len(
[x for x in gold_frame.args if x.instanciated])
predicate = gold_frame.predicate.lemma
if gold_frame.arg_annotated:
stats.stats_data["args_kept"] += num_instanciated
stats.stats_data["frames"] += 1
# Check that FrameNet frame slots have been mapped to
# VerbNet-style slots
if frame_occurrence.num_slots == 0:
errorslog.log_frame_without_slot(gold_frame,
frame_occurrence)
frame_occurrence.matcher = None
continue
errorslog.log_frame_with_slot(gold_frame, frame_occurrence)
stats.stats_data["frames_mapped"] += 1
matcher = framematcher.FrameMatcher(frame_occurrence,
options.Options.
matching_algorithm)
frame_occurrence.matcher = matcher
all_matcher.append(matcher)
frames_to_be_matched = []
for verbnet_frame in sorted(self.frames_for_verb[predicate]):
if options.Options.passivize and gold_frame.passive:
for passivized_frame in verbnet_frame.passivize():
frames_to_be_matched.append(passivized_frame)
else:
frames_to_be_matched.append(verbnet_frame)
# Actual frame matching
matcher.perform_frame_matching(frames_to_be_matched)
if options.Options.wordnetrestr:
matcher.restrict_headwords_with_wordnet()
# Update semantic restrictions data (but take no decision)
for i, restr in matcher.get_matched_restrictions():
word = frame_occurrence.headwords[i]['top_headword']
if restr.logical_rel == "AND":
for subrestr in restr.children:
data_restr[subrestr].update([word])
else:
data_restr[restr].update([word])
# Update probability model data (but take no decision)
vnclass = model.add_data_vnclass(matcher)
if not options.Options.bootstrap:
for roles, slot_type, prep in zip(
frame_occurrence.roles, frame_occurrence.slot_types,
frame_occurrence.slot_preps
):
if len(roles) == 1:
model.add_data(slot_type, next(iter(roles)),
prep, predicate, vnclass)
if options.Options.debug and set() in frame_occurrence.roles:
log_debug_data(gold_frame, frame_occurrence, matcher,
frame_occurrence.roles,
self.verbnet_classes)
if options.Options.semrestr:
for matcher in all_matcher:
matcher.handle_semantic_restrictions(data_restr)
all_vn_frames.extend(vn_frames)
all_annotated_frames.extend(annotated_frames)
#
# Probability models
#
self.logger.info("Probability models...")
if options.Options.bootstrap:
self.logger.info("Applying bootstrap...")
bootstrap_algorithm(all_vn_frames, model,
self.verbnet_classes)
elif options.Options.probability_model is not None:
self.logger.info("Applying probability model...")
for frame_occurrence in all_vn_frames:
# Commented out a version that only allowed possible role
# combinations after each restriction
# for i in range(frame_occurrence.num_slots):
# roles_for_slot = frame_occurrence.roles[i]
for i, roles_for_slot in enumerate(frame_occurrence.roles):
if len(roles_for_slot) > 1:
new_role = model.best_role(
roles_for_slot,
frame_occurrence.slot_types[i],
frame_occurrence.slot_preps[i],
frame_occurrence.predicate,
options.Options.probability_model)
if new_role is not None:
frame_occurrence.restrict_slot_to_role(i, new_role)
frame_occurrence.select_likeliest_matches()
if options.Options.debug:
display_debug(options.Options.n_debug)
else:
self.logger.info("No probability model")
if options.Options.conll_input is not None:
self.logger.info("\n## Dumping semantic CoNLL...")
semantic_appender = ConllSemanticAppender(options.Options.
conll_input)
# vn_frame: VerbnetFrameOccurrence
for vn_frame in all_vn_frames:
if vn_frame.best_classes():
if options.Options.framelexicon == FrameLexicon.VerbNet:
semantic_appender.add_verbnet_frame_annotation(vn_frame) # noqa
elif options.Options.framelexicon == FrameLexicon.FrameNet:
semantic_appender.add_framenet_frame_annotation(
self.role_matcher.possible_framenet_mappings(vn_frame)) # noqa
else:
self.logger.error("Error: unknown frame lexicon for "
"output {}".format(options.Options.
framelexicon))
if options.Options.conll_output is None:
self.logger.debug('\n{}'.format(str(semantic_appender)))
return str(semantic_appender)
else:
semantic_appender.dump_semantic_file(options.Options.
conll_output)
else:
self.logger.info("\n## Evaluation")
stats.stats_quality(
all_annotated_frames, all_vn_frames,
self.frames_for_verb, self.verbnet_classes,
options.Options.argument_identification)
stats.display_stats(options.Options.argument_identification)
if options.Options.dump:
dumper.dump(options.Options.dump_file,
stats.annotated_frames_stats)
return ""
parser.add_argument('--url', action="store", dest='vURL', default='')
parser.add_argument('--urltype', action="store", dest='vURLType', default='tasks')
param = parser.parse_args()
if param.vTaskUUID == '':
print "Usage: " + sys.argv[0] + " --taskuuid="
sys.exit(1)
data = GetURL(
debug=param.vIsDebug,
hostname=param.vHostname, port=param.vPort,
username=param.vUsername, password=param.vPassword,
snapshotuuid=param.vSnapshotUUID,
taskuuid=param.vTaskUUID,
imageuuid=param.vImageUUID,
url=param.vURL, urltype=param.vURLType
)
d = json.loads(str(data))
if 'myerror' in d:
print json.dumps(d, indent=4)
else:
if param.vIsDebug:
print d['uuid'], d['operation_type'], d['progress_status']
print json.dumps(d)
dumper.dump(d)
table = PrettyTable(['UUID', 'Operation_Type', 'Progress_Status'])
table.add_row([d['uuid'], d['operation_type'], d['progress_status']])
print table
def annotate(self, conllinput=None, language=None):
""" Run the semantic role labelling
:var conllinput: string -- text to annotate formated in the CoNLL
format. If None, annotate
Return the same string than conllinput but with new colums
corresponding to the frames and roles found
"""
self.logger.info("annotate: {} {}".format(language, conllinput))
model = probabilitymodel.ProbabilityModel(self.verbnet_classes, 0)
if language is not None:
options.Options.language = language
tmpfile = None
if conllinput is not None:
if options.Options.debug:
tmpfile = tempfile.NamedTemporaryFile(delete=False)
self.logger.error(
'Debug mode: will not delete temporary file {}'.format(
tmpfile.name))
else:
tmpfile = tempfile.NamedTemporaryFile(delete=True)
tmpfile.write(bytes(conllinput, 'UTF-8'))
tmpfile.seek(0)
options.Options.conll_input = tmpfile.name
options.Options.argument_identification = True
# self.logger.debug("Annotating {}...".format(conllinput[0:50]))
all_annotated_frames = []
all_vn_frames = []
self.logger.info("Loading gold annotations "
"and performing frame matching...")
# annotated_frames: list of FrameInstance
# vn_frames: list of VerbnetFrameOccurrence
for annotated_frames, vn_frames in corpuswrapper.get_frames(
options.Options.corpus, self.verbnet_classes, self.frameNet,
options.Options.argument_identification):
all_matcher = []
#
# Frame matching
#
data_restr = NoHashDefaultDict(lambda: Counter())
assert len(annotated_frames) == len(vn_frames)
# gold_frame: FrameInstance
# frame_occurrence: VerbnetFrameOccurrence
for gold_frame, frame_occurrence in zip(annotated_frames,
vn_frames):
if gold_frame.predicate.lemma not in self.frames_for_verb:
errorslog.log_vn_missing(gold_frame)
continue
stats.stats_data["frames_with_predicate_in_verbnet"] += 1
stats.stats_data["args"] += len(gold_frame.args)
stats.stats_data["args_instanciated"] += len(
[x for x in gold_frame.args if x.instanciated])
num_instanciated = len(
[x for x in gold_frame.args if x.instanciated])
predicate = gold_frame.predicate.lemma
if gold_frame.arg_annotated:
stats.stats_data["args_kept"] += num_instanciated
stats.stats_data["frames"] += 1
# Check that FrameNet frame slots have been mapped to
# VerbNet-style slots
if frame_occurrence.num_slots == 0:
errorslog.log_frame_without_slot(gold_frame,
frame_occurrence)
frame_occurrence.matcher = None
continue
errorslog.log_frame_with_slot(gold_frame, frame_occurrence)
stats.stats_data["frames_mapped"] += 1
matcher = framematcher.FrameMatcher(
frame_occurrence, options.Options.matching_algorithm)
frame_occurrence.matcher = matcher
all_matcher.append(matcher)
frames_to_be_matched = []
for verbnet_frame in sorted(self.frames_for_verb[predicate]):
if options.Options.passivize and gold_frame.passive:
for passivized_frame in verbnet_frame.passivize():
frames_to_be_matched.append(passivized_frame)
else:
frames_to_be_matched.append(verbnet_frame)
# Actual frame matching
matcher.perform_frame_matching(frames_to_be_matched)
if options.Options.wordnetrestr:
matcher.restrict_headwords_with_wordnet()
# Update semantic restrictions data (but take no decision)
for i, restr in matcher.get_matched_restrictions():
word = frame_occurrence.headwords[i]['top_headword']
if restr.logical_rel == "AND":
for subrestr in restr.children:
data_restr[subrestr].update([word])
else:
data_restr[restr].update([word])
# Update probability model data (but take no decision)
vnclass = model.add_data_vnclass(matcher)
if not options.Options.bootstrap:
for roles, slot_type, prep in zip(
frame_occurrence.roles,
frame_occurrence.slot_types,
frame_occurrence.slot_preps):
if len(roles) == 1:
model.add_data(slot_type, next(iter(roles)), prep,
predicate, vnclass)
if options.Options.debug and set() in frame_occurrence.roles:
log_debug_data(gold_frame, frame_occurrence, matcher,
frame_occurrence.roles,
self.verbnet_classes)
if options.Options.semrestr:
for matcher in all_matcher:
matcher.handle_semantic_restrictions(data_restr)
all_vn_frames.extend(vn_frames)
all_annotated_frames.extend(annotated_frames)
#
# Probability models
#
self.logger.info("Probability models...")
if options.Options.bootstrap:
self.logger.info("Applying bootstrap...")
bootstrap_algorithm(all_vn_frames, model, self.verbnet_classes)
elif options.Options.probability_model is not None:
self.logger.info("Applying probability model...")
for frame_occurrence in all_vn_frames:
# Commented out a version that only allowed possible role
# combinations after each restriction
# for i in range(frame_occurrence.num_slots):
# roles_for_slot = frame_occurrence.roles[i]
for i, roles_for_slot in enumerate(frame_occurrence.roles):
if len(roles_for_slot) > 1:
new_role = model.best_role(
roles_for_slot, frame_occurrence.slot_types[i],
frame_occurrence.slot_preps[i],
frame_occurrence.predicate,
options.Options.probability_model)
if new_role is not None:
frame_occurrence.restrict_slot_to_role(i, new_role)
frame_occurrence.select_likeliest_matches()
if options.Options.debug:
display_debug(options.Options.n_debug)
else:
self.logger.info("No probability model")
if options.Options.conll_input is not None:
self.logger.info("\n## Dumping semantic CoNLL...")
semantic_appender = ConllSemanticAppender(
options.Options.conll_input)
# vn_frame: VerbnetFrameOccurrence
for vn_frame in all_vn_frames:
if vn_frame.best_classes():
if options.Options.framelexicon == FrameLexicon.VerbNet:
semantic_appender.add_verbnet_frame_annotation(
vn_frame) # noqa
elif options.Options.framelexicon == FrameLexicon.FrameNet:
semantic_appender.add_framenet_frame_annotation(
self.role_matcher.possible_framenet_mappings(
vn_frame)) # noqa
else:
self.logger.error("Error: unknown frame lexicon for "
"output {}".format(
options.Options.framelexicon))
if options.Options.conll_output is None:
self.logger.debug('\n{}'.format(str(semantic_appender)))
return str(semantic_appender)
else:
semantic_appender.dump_semantic_file(
options.Options.conll_output)
else:
self.logger.info("\n## Evaluation")
stats.stats_quality(all_annotated_frames, all_vn_frames,
self.frames_for_verb, self.verbnet_classes,
options.Options.argument_identification)
stats.display_stats(options.Options.argument_identification)
if options.Options.dump:
dumper.dump(options.Options.dump_file,
stats.annotated_frames_stats)
return ""
def eventhandler(self):
if tkinter.messagebox.askokcancel('Lopeta?', 'Haluatko lopettaa ja tallentaa muutokset?'):
dumper.dump(self.nimilista)
self.mainframe.quit() #Quit pysäyttää suoraan KAIKKI widgetit
"\033[1;34;40m[\033[1;31;40m+\033[1;34;40m] \033[1;31;40mGithub : https://github.com/b3tar00t"
)
print(" ")
faker = Faker()
print('\033[1;36;40m ================================================= ')
print(' ')
print(" \033[1;32;40mMale Profile : ")
maleprofile = faker.simple_profile('M')
dumper.dump(maleprofile)
print(' ')
print(' \033[1;36;40m================================================= ')
print(' ')
print(" \033[1;32;40mFemale Profile : ")
femaleprofile = faker.simple_profile('F')
dumper.dump(femaleprofile)
print(' ')
print(" \033[1;32;40mPhone Number : ")
def do_dump_json():
obj = {"httpCode": 200, "extensionData": [{"extensionValue": "egg"}]}
dump(obj)
return '''
1,
2,
3,
4,
5,
6,
7,
])))
# swapping example
num_to_alpha = dict(a=1, b=2, c=3)
print(num_to_alpha)
alpha_to_num = {num: alpha for alpha, num in num_to_alpha.items()}
print(alpha_to_num)
#swaping
for word in ("followed by a newlin at the end of the".split()):
print(f"Word {word}")
#sets context
print({factorial(x) for x in range(10)})
# dict context
# Double each value in the dictionary
dict1 = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}
double_dict1 = {k: v * 2 for (k, v) in dict1.items()}
print(dump(double_dict1))
print(dumps(double_dict1))
print([x for x in range(10) if x % 2])
finally:
# reset the buffer for the next test
buff.truncate(0)
buff.seek(0)
if __name__ == "__main__":
l1 = [3, 5, 'hello']
t1 = ('uh', 'oh')
l2 = ['foo', t1]
d1 = {'k1': 'val1', 'k2': l1, 'k2': l2}
print("a list: ", dumps(l1), "; a tuple: ", dumps(t1))
print("a complex list: ")
dump(l2)
dump(d1)
print("same dict, printed from dumps(): ")
print(dumps(d1))
dump(19)
dump("\nMy birth year!\n")
dumper = Dumper(max_depth=1)
l = ['foo', ['bar', 'baz', (1, 2, 3)]]
dumper.dump(l)
dumper.max_depth = 2
dumper.dump(l)
l[1][2] = tuple(range(11))
dumper.dump(l)
dumper.max_depth = None
print(dumper.max_depth)
def test_dump_invalid_data(self):
with self.assertRaises(TypeError):
dump('', self.invalid_data, 0)
line_split = line.split()
# Construct instruction structure
origin = Inst(line_split)
# Find the 64-bit encodings
base = int(origin.enc(), 16)
origin_operand_types = check_operand_types(origin)
if len(origin.operands()) and origin_operand_types.find('X') == -1:
pp = [[] for i in range(len(origin_operand_types))]
logging.info(origin.op() + " " + origin.modifier())
logging.info("0b{:064b}".format(base) + ": " +
origin.operands())
for i in range(0, 64):
mask = 2**i
newcode = base ^ mask
# Disassemble the new code
dump_file = dump("0x{:016x}".format(newcode), arch)
if dump_file and dump_file.find(
"?") == -1 and dump_file.find("error") == -1:
line = dump_file.split("\n")
if version < 40:
line_inst = line[1].split()
else:
line_inst = line[5].split()
# [0]: header info, [1] instruction part
line_inst.pop(0)
inst = Inst(line_inst, raw=version > 40)
pos = change(inst, origin)
if pos >= 0:
pp[pos].append(i)
logging.info("0b{:064b}".format(newcode) + ": " +
inst.operands())
print("Se ha encontrado un pepinillo de Coordenadas guardado ¿Desea cargar pepinillo? S/N")
load = input()
if load == 'S' or load == 's':
placesAcc = pickle.load(f)
f.close()
print(highlight, "Pepinillo cargadon con exito!!!! :3", reset)
except:
print(highlight, "Pepinillo no encontrado ejecucion normal 2", reset)
if len(placesAcc) == 0:
for place in globalPlacesList:
try:
points = functions.placePoints(place, bingKey)
place = Place(place, points[0], points[1][0], points[1][1])
placesAcc.append(place)
dumper.dump(place)
except:
print(error, "Something went wrong", reset)
continue
print('---------------------------------Hciendo el pepinillo Places------------------------')
f = open(r"Places.pckl", 'wb')
pickle.dump(placesAcc, f)
f.close()
# dumper.dump(placesAcc)
# ----------------------------Third Step --------------------------------------
for place in placesAcc: # Lugares donde se cito
# print(ok, "-", place.place, reset)
# print(ok, "-", place.longitude, reset)
d['color'] = 'R'
elif d['open'] < d['close']:
d['color'] = 'G'
return d
#
util.logToConsole(logging.INFO)
ib = IB()
ib.connect("localhost", 4002, clientId=2)
contract = Future('ES', '202006', 'GLOBEX')
ib.qualifyContracts(contract)
ticker = ib.reqMktData(contract, '', False, False)
ib.sleep(1)
de = collections.deque()
for i in range(0, 6):
d = collector(ticker, ib)
de.append(d)
# run analysis function. if it passes, place an order as needed
# if not, re-run collection process and re-analyze
ib.cancelMktData(contract)
ib.disconnect()
for i in de:
dumper.dump(i)
print("\n")
def do_dumps_multi_values():
s = dumps(1, " is less than ", 10) # returns unicode string in py2
if sys.version < (3, 0):
s = s.encode('ascii', 'replace') # convert back to regular string
dump(s)
return "\"1' is less than '10\""
def run(bot, command, to, who, args, authed):
if not command:
return
public = to and to[0] == "#"
noncommand = False
# in public, cmdchar is necessary
if public:
if command[0] == '%':
command = command[1:]
else:
noncommand = True
else:
# in private, cmdchar is optional
if command[0] == '%':
command = command[1:]
state = bot.get('maf')
if command == "reset":
state = None
if state == None:
state = game.Game(rng)
if noncommand:
# chatting, active player, reset modkill timer
state.activity(who)
return
if command == "help":
bot.reply(to, who, "normal commands: %s" % ", ".join(["join","start","go",
"wait","done","role","testsetup","living","votes","phase","replace",
"dccchat", "changesetup"]))
bot.reply(to, who, "mod commands: %s" % ", ".join(["reset",
"force","forcep","forcenextphase","showsetup","setrole","starttest"]))
elif public and (command == "join" or command == "start"):
state.join(to, who, args)
elif command == "done":
state.done(who)
elif command == "role":
state.fullrolepm(who)
elif command == "rolepower":
state.rolepower(who, args)
# mod commands
elif public and command == "force":
if len(args) >= 2:
run(bot, args[1], to, args[0], args[2:], authed)
state.makefake(who, args)
elif public and command == "forcep":
if len(args) >= 2:
run(bot, args[1], "bot", args[0], args[2:], authed)
state.makefake(who, args)
elif public and command == "forcenextphase":
state.nextphase()
elif public and command == "replace":
if len(args) == 2:
state.replace(args[0], args[1])
elif public and command == "showsetup" and state.channel:
state.showsetup(who)
bot.notice(state.channel, "%s used showsetup"%who)
elif command == "setrole" and state.channel:
if state.setrole(who, args):
bot.notice(state.channel, "%s used setrole"%who)
elif command == "dump":
dumper.max_depth = 9
print(dumper.dump(state))
# informational commands
elif command == "testsetup":
bot.reply(to, who, state.testsetup(args))
# public informational commands
elif public and command == "living":
state.livingmsg()
elif public and command == "dead":
state.deadmsg()
elif public and command == "votes":
state.votecount()
elif public and command == "phase":
state.phasemsg()
# game start cmds
elif command == "changesetup":
state.changesetup(args)
elif public and command == "wait":
state.wait()
elif public and command == "go":
state.go(args[0] if args else None)
elif public and command == "starttest":
state.gotest(to, who, args)
# role commands
elif command:
print("game command %s args %s"%(command,args))
state.tryability(who, public, command, args)
rungame(bot, public, to, who, state)
bot.store('maf', state)
def work(input_file_name, output_file, section_start):
global sass_content, ops_bits
arch = "sm_75"
# for debug
# input_file_name = 'gaussian.cubin'
init_sass_cubin_files(input_file_name, arch)
logging.basicConfig(format="%(message)s",
filename="./log/%s" % output_file,
filemode="a",
level=logging.INFO)
logging.info("Time:\t%s" %
time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
com_lib.kernel_section_start_offset = int(section_start, 16)
with open("%s.sass" % os.path.splitext(input_file_name)[0], 'r') as fin:
sass_content = fin.read()
tmp_result = code_line_reg.findall(sass_content)
if not tmp_result:
logging.error("Not found pairs")
return
# @todo: check is there any irregular code
# how many lines will be checked.
for j, line in enumerate(tmp_result[:1]):
logging.info("================================")
logging.info("raw line:\t\t%s" % line[0])
a_origin_inst = Inst(line)
instructions.append(a_origin_inst)
base = a_origin_inst.enc
bits = 0x0
origin_operand_types = check_operand_types(a_origin_inst)
if FLAG_CHECK_OPERAND:
if len(a_origin_inst.operands) and origin_operand_types:
logging.info(
"Original op and modifier:%s:\t%s" %
(a_origin_inst.op, "".join(a_origin_inst.modifier)))
logging.info("0b{:0128b}".format(base) + ": " +
"".join(a_origin_inst.operands))
logging.info("newcode operand:")
# if you just want to check operand, uncomment the following else branch
else:
continue
# In volta and turing, len of the instruction code is 128bitk
for i in range(0, 128):
# i from right to left
mask = 2**i
newcode = base ^ mask
dump_file_content = dump("0x{:032x}".format(newcode), arch, j)
# print(dump_file_content)
# Compare the disassemble to check which field changes: opcode, operand or modifer
if dump_file_content and dump_file_content.find(
"?") == -1 and dump_file_content.find("error") == -1:
tmp_pp, tmp_inst = filter_change(a_origin_inst,
dump_file_content, base,
newcode, j, i)
if tmp_pp is not None:
# the ith bit affects tmp_ppth operand
a_origin_inst.operand_positions[tmp_pp].append(i)
# @todo print the reverse bit
logging.info("%s: %d\t%s" %
("0b{:0128b}".format(newcode), i, " ".join(
tmp_inst.operands)))
# if len(positions) > 0:
# logging.info("0b{:0128b}".format(bits) + ": %s opcode bits %s: ", origin_inst.op, positions)
if len(a_origin_inst.opcode_positions) > 0:
ops_bits[a_origin_inst.op] = list(
set(
ops_bits.get(a_origin_inst.op, []) +
a_origin_inst.opcode_positions))
logging.info("Operand combination types: %s", origin_operand_types)
for i in range(0, len(a_origin_inst.operand_positions)):
if len(origin_operand_types) > i:
tmp_type = origin_operand_types[i]
else:
tmp_type = 'None'
logging.info("Operand type: %s", tmp_type)
logging.info("Encoding: %s", a_origin_inst.operand_positions[i])
for node in ops_bits:
logging.info("%s:\t[%s]", node,
",".join(str(x) for x in ops_bits[node]))
import gffutils
import warnings
import dumper
# provisioning on ubuntu/xenial64 virtual box:
# apt-get install -y git python3 python-setuptools python3-biopython python3-pip
# pip3 install dumper gffutils
data_dir = os.path.dirname(os.path.realpath(__file__))
test_gff_file = os.path.join(data_dir, 'SAMPLE.gff3.gz')
test_gff_db_file = os.path.join(data_dir, 'gffutils_test.db')
with warnings.catch_warnings():
warnings.filterwarnings("ignore", "unclosed file <_io\.TextIOWrapper",
ResourceWarning, "gffutils", 133)
warnings.filterwarnings("ignore", "generator '_FileIterator\.",
PendingDeprecationWarning, "gffutils", 186)
warnings.filterwarnings("ignore", "unclosed file <_io\.TextIOWrapper",
ResourceWarning, "gffutils", 668)
test_gff_db = gffutils.create_db(
test_gff_file,
dbfn=test_gff_db_file,
force=True, # overwrite previous testing db file
merge_strategy='error',
keep_order=
False, # True doesn't appear to maintain attribute order :-/ (and turning this off may be faster)
sort_attribute_values=False)
for this_feature in test_gff_db.all_features():
print(dumper.dump(this_feature))
import dumper import dbimporter import tempfile import os import ez_aws os.environ['TMPDIR'] = '/tmp/' queue = ez_aws.Queue( 'frontend-logs' ) raw_bucket = ez_aws.Bucket( 'localch-frontend-logs' ) processed_bucket = ez_aws.Bucket( 'localch-frontend-logs-processed' ) for message in queue: tmp = tempfile.mkstemp()[1] logfile = message.get_body() raw_bucket.download_item_to_localfile( logfile, tmp ) dumper.dump( tmp, logfile ) dbimporter.load_and_dump( tmp ) processed_bucket.upload_localfile_to_item( tmp + '.dump', 'dump_' + logfile ) processed_bucket.upload_localfile_to_item( tmp + '.paths', 'paths_' + logfile ) processed_bucket.upload_localfile_to_item( tmp + '.queries', 'queries_' + logfile ) processed_bucket.upload_localfile_to_item( tmp + '.referers', 'referers_' + logfile ) processed_bucket.upload_localfile_to_item( tmp + '.uas', 'uas_' + logfile ) # os.unlink( tmp ) # os.unlink( tmp + '.processed' ) queue.delete( message )
def test_dump_valid_data(self):
dumped_data = dump('', self.valid_data, 0)
self.assertEqual(dumped_data.strip(), self.valid_data_dumped)