def __init__(self, file):
[self.data, self.title] = helper.parse(file)
if not self.data:
raise Exception("Data cannot be empty")
self.yPoints = [x.ele for x in self.data]
self.xPoints = []
last = 0
for d in [x for x in self.data if x.dis != None]:
last += d.dis
self.xPoints.append(last)
self.xMarkedPoints = []
self.yMarkedPoints = []
self.xMin = min(self.xPoints)
self.xMax = max(self.xPoints)
self.yMin = min(self.yPoints)
self.yMax = max(self.yPoints)
def parse_initial(message): split_msg = helper.parse(message) # TODO: More effective manner of reordering. This is unacceptable. # Only for presentation purposes tmp = [split_msg[2], split_msg[3], split_msg[0], split_msg[1]] return tuple(tmp)
for wave_index, wave_map in enumerate(wave_maps):
wave_map["i"] = wave_map.index
df = pd.merge(merged_map, wave_map, on="SNP", how="left").dropna()
df["previ"] = df.i.shift()
df2 = df[~(df.previ + 1 == df.i)]
if not pd.Index(df.i).is_monotonic:
return False
return True
s = h.parse()
s.wavepaths = h.replace(s)
wave_maps = h.read_wave_maps(s.wavepaths)
wave_fams = h.read_wave_fams(s.wavepaths)
merged_map = h.read_map(s.mergepath)
merged_fam = h.read_fam(s.mergepath)
include_inds = h.read_include_inds(s.indlist)
if include_inds:
merged_fam = merged_fam[merged_fam["indID"].isin(include_inds)]
wave_inds, wave_snps = h.read_wave_dosages(s.wavepaths.filepaths)
merged_inds, merged_snps = h.read_dosage(s.mergepath)
merged_info = h.read_info(s.mergepath)
def eval(self, vm, code):
proc = self.compiler.compile(helper.parse(code), vm.env)
return vm.run(proc)
maxlen=self.size)
def output(self):
for f in sorted(r.deque, key=lambda x: x.size, reverse=True):
if self.human_read:
f.size = sizeof_fmt(f.size)
print("{0:<10} {1}".format(f.size, f.name))
class File(object):
def __init__(self, name, size):
self.name = name
self.size = size
def sizeof_fmt(num, suffix='B'):
for unit in ['', 'K', 'M', 'G', 'T', 'P', 'E', 'Z']:
if abs(num) < 1024.0:
return "%3.1f%s%s" % (num, unit, suffix)
num /= 1024.0
return "%.1f%s%s" % (num, 'Y', suffix)
if __name__ == "__main__":
# In case of using it as a module these are the most likely commands
from helper import parse
args = parse()
r = FileQueue(args.number, fullpath=args.fullpath, human_read=args.human)
r.find(args.path)
r.output()
def parse_initial(message):
split_msg = helper.parse(message)
# TODO: More effective manner of reordering. This is unacceptable.
# Only for presentation purposes
tmp = [split_msg[2], split_msg[3], split_msg[0], split_msg[1]]
return tuple(tmp)
else:
a[k] = "_"
already_lambdad.append(key)
return
def remove_epsilon(cfg):
new_cfg = copy.deepcopy(cfg)
already_lambdad = []
while True:
new_cfg, nullable_key = find_last_epsilon_keys(new_cfg)
if not nullable_key:
return new_cfg
new_cfg = compensate_removal(new_cfg, nullable_key, already_lambdad)
eddie_all(new_cfg)
# print(0)
# print(to_mentor(remove_epsilon(arr)))
# with open("a.cfg", "w") as fp:
# fp.write(to_mentor(arr))
# with open("b.cfg", "w") as fp:
# fp.write()
#
# import os
# os.system("./mentor a.cfg generate 100 > a.txt")
# os.system("./mentor b.cfg generate 100 > b.txt")
if __name__ == "__main__":
spit(remove_epsilon(parse()))
def eval(self, vm, code):
proc = self.compiler.compile(helper.parse(code), vm.env)
return vm.run(proc)
def parse_first_challenge(message): split_msg = helper.parse(message) print(split_msg) return tuple(split_msg)
# Only process if input is as expected to contain location, year, url
if len(inputs) == 3:
location = inputs[0]
year = inputs[1]
url = inputs[2]
# Retrieve data from URL
data = helper.retrieveSourceFromURL(url)
# Remove all newline carriages
data = data.split('\r\n')
data = "".join(data)
# Parse data into proper format of list of n-tuples
data = helper.parse(data, HEADERS_AND_PATTERNS[this_type][PATTERN])
# Generate CSV file for result
helper.writeCSV(
this_type,
location,
year,
HEADERS_AND_PATTERNS[this_type][HEADER],
data)
# Notify of invalid input parameters
else:
print "INVALID INPUT"
def runProxy(ipAddr):
conf = config.config(configFile)
conf.load_config()
lport = conf.get_config('lport')
#ipAddr = conf.get_config('ipAddr')
nnIPAddr = conf.get_config('nnIPAddr')
nnPort = conf.get_config('nnPort')
HDFSDataDir = conf.get_config('HDFSDataDir')
metaDataHandle = metadata.MetaData(nnIPAddr, nnPort, ipAddr)
metaDataHandle.loadMetaData(HDFSDataDir)
print "Ready"
servSock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
servSock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
servSock.setblocking(0)
servSock.bind((ipAddr, lport))
servSock.listen(10)
connList = {}
reqMsgList = {}
epoll = select.epoll()
epoll.register(servSock.fileno(), select.EPOLLIN)
try:
while True:
events = epoll.poll(1)
for sockDesc, event in events:
if sockDesc == servSock.fileno():
print "Received new connection"
conn, addr = servSock.accept()
conn.setblocking(0)
epoll.register(conn.fileno(), select.EPOLLIN)
connList[conn.fileno()] = conn
elif event & select.EPOLLHUP:
epoll.unregister(sockDesc)
connList[sockDesc].close()
del connList[sockDesc]
elif event & select.EPOLLIN:
cSock = connList[sockDesc]
data = cSock.recv(1024)
if len(data) == 0:
print "Connection closed"
epoll.unregister(sockDesc)
connList[sockDesc].close()
del connList[sockDesc]
continue
if sockDesc in reqMsgList.keys():
reqMsgList[sockDesc] += data
else:
reqMsgList[sockDesc] = data
if len(reqMsgList[sockDesc]) == HDRLEN:
epoll.unregister(sockDesc)
msgHdr = reqMsgList[sockDesc]
msg = helper.parse(msgHdr)
if msg['reqType'] == REQUEST_GET:
del connList[sockDesc]
del reqMsgList[sockDesc]
blocksInfo = {}
filePath = helper.getObjPath(
msg['objectID'], HDFSDataDir)
print "Received new request for file %s" % filePath
if (metaDataHandle.fileExist(filePath)):
fileMeta = metaDataHandle.getFileMeta(filePath)
responseMsg = helper.createResponse(
REQUEST_ACCEPT, msg['priority'],
msg['objectID'], 0, fileMeta['numBytes'])
cSock.send(responseMsg)
newWorker = worker.worker(
filePath, fileMeta, cSock)
newWorker.start()
else:
print "File %s not found" % filePath
responseMsg = helper.createResponse(
REQUEST_NOTFOUND, msg['priority'],
msg['objectID'], 0, 0)
cSock.send(responseMsg)
except socket.error, msg:
print "Some issue in running proxy. %s\n" % msg
backend = os.environ.get('CK_IBM_BACKEND', 'ibmq_qasm_simulator')
timeout = int(os.environ.get('CK_IBM_TIMEOUT', 120))
shots = int(os.environ.get('CK_IBM_REPETITION', 10))
verbose = int(os.environ.get('CK_IBM_VERBOSE', 0)) != 0
api = IBMQuantumExperience(Qconfig.API_TOKEN, Qconfig.config, verify=True)
if verbose: print(api.backend_status(backend))
if verbose: print(api.get_my_credits())
# get qasm code to manage via ck too
#api.run_experiment(qasm, backend, shots, name=None, timeout)
valid = helper.parse(qasm_example_abs_path)
if not valid:
print("Qsam Error")
exit(1)
qasm_file = open(qasm_example_abs_path, 'r')
quantum_program = qasm_file.read()
qasm_file.close()
q = [{'qasm': quantum_program}]
## select q1 if you use api.run_experiment(qasm, backend, shots, name=None, timeout=60) . QSAM object for job
q1 = quantum_program
max_credits = 3
status = api.run_job(q, backend, shots, max_credits)
lc = api.get_last_codes()
#if verbose: lc qasms
