def __init__(self, args, desc, parent=None):
if isinstance(args, basestring):
command = '%s %s' % (self.program, args)
else:
command = (self.program,) + tuple(args)
Process.__init__(self, command, self.title, desc, parent)
def main():
p=Process()
print(p.proces('5+6-(2*6-3)/3'))
print(p.proces('12+2*6-(15/3*2)-7'))
print(p.proces('5/1-5+2*(7+2/2*7)-4/2'))
print(p.proces('(8/2*6)-4+(14*2)-50'))
return
def __init__(self,context,id):
Process.__init__(self,context,id)
if 'config' in context:
self.__config__ = context['config']
else:
raise Exception('WestGridStatusProcess','no config found in context.')
if 'process' in self.__config__:
if 'host' in self.__config__['process']:
self.__host__ = self.__config__['process']['host']
else:
raise Exception('WestGridProcess','required field [process]:host not found in workfile')
if 'user' in self.__config__['process']:
self.__user__ = self.__config__['process']['user']
else:
self.__user__ = environ['USER']
if 'key' in self.__config__['process']:
self.__key__ = self.__config__['process']['key']
else:
if 0 == system( 'touch ~/.ssh/id_rsa &> /dev/null' ):
self.__key__ = '~/.ssh/id_rsa'
else:
raise Exception('WestGridProcess','required field [process]:key="~/.ssh/id_rsa" not found in workfile')
else:
raise Exception('WestGridProcess','no process section found in workfile')
self.__last_time__ = 0
self.__jobs__ = {}
task = WG_DeployTask( self.id(), None, self.__config__ )
task.execute()
def mount(parent, device):
mountpoint, options = query_mount(parent, device)
if not mountpoint:
return None
command = ('mount', '-t', 'ocfs2', device, mountpoint)
if options:
command = list(command)
command[1:1] = ('-o', options)
p = Process(command, 'Mount', 'Mounting...', parent, spin_now=True)
success, output, killed = p.reap()
if not success:
if killed:
error_box(parent, 'mount died unexpectedly! Your system is '
'probably in an inconsistent state. You '
'should reboot at the earliest opportunity')
else:
error_box(parent, '%s: Could not mount %s' % (output, device))
return None
else:
return mountpoint
def __init__(self, *args, **kwargs):
Process.__init__(self)
if (len(args) > 1 and
not any(isinstance(arg, (TableExpression, list, tuple))
for arg in args)):
args = (args,)
self.args = args
suffix = kwargs.pop('suffix', '')
fname = kwargs.pop('fname', None)
mode = kwargs.pop('mode', 'w')
if kwargs:
kwarg, _ = kwargs.popitem()
raise TypeError("'%s' is an invalid keyword argument for csv()"
% kwarg)
if fname is not None and suffix:
raise ValueError("csv() can't have both 'suffix' and 'fname' "
"arguments")
if fname is None:
suffix = "_" + suffix if suffix else ""
fname = "{entity}_{period}" + suffix + ".csv"
self.fname = fname
if mode not in ('w', 'a'):
raise ValueError("csv() mode argument must be either "
"'w' (overwrite) or 'a' (append)")
self.mode = mode
def __init__(self,context,pid):
Process.__init__(self,context,pid)
if 'config' in context:
self._config = context['config']
#display( OUTPUT_DEBUG, str(self.__config__) )
else:
raise Exception('RandomTestProcess','no config found in context.')
self._start = time()
self._tasktime = 1
self._nextid = 0
if 'process' in self._config:
if 'tasktime' in self._config['process']:
self._tasktime = float(self._config['process']['tasktime'])
if 'period' in self._config['process']:
self._period = float(self._config['process']['period'])
if 'ctrltasktime' in self._config['process']:
self._ctrltasktime = float(self._config['process']['ctrltasktime'])
if 'maxtasks' in self._config['process']:
self._maxtasks = int(self._config['process']['maxtasks'])
self.__queueRandomTestTask__(10)
self.determineState()
class Skandal():
'''Change config, capture, process.'''
def __init__(self):
self.cf = load_config("./scan.ini")
self.cap = Capture(self.cf)
self.proc = Process(self.cf)
def change_config(self):
pass
def set_cam_position(self):
self.cap.set_cam_position()
def shot(self):
self.cap.shot()
def process_images(self):
self.proc.get_laser_line()
def process_PLY(self):
self.proc.get_PLY()
def scan(self):
self.shot()
self.process_images()
self.process_PLY()
def start(self):
Process.start(self)
msg = RegisterExecutorMessage()
msg.framework_id.MergeFrom(self.framework_id)
msg.executor_id.MergeFrom(self.executor_id)
print 'RegisterExecutorMessage', msg
return self.send(self.slave, msg)
def __init__(self,context,id):
Process.__init__(self,context,id)
if 'config' in context:
self.__config__ = context['config']
#display( OUTPUT_DEBUG, str(self.__config__) )
else:
raise Exception('ExperimentProcess','no config found in context.')
repeat = 0
runs = 0
if 'process' in self.__config__:
if 'repeat' in self.__config__['process']:
self.__repeat__ = int(self.__config__['process']['repeat'])
else:
raise Exception('ExperimentProcess','no repeats field found in process section of workfile')
if 'runs' in self.__config__['process']:
runs = int(self.__config__['process']['runs'])
else:
raise Exception('ExperimentProcess','no runs field found in process section of workfile')
else:
raise Exception('ExperimentProcess','no process section found in workfile')
self.__first__ = False
self.__parameters__ = int( runs / self.__repeat__ )
self.display( OUTPUT_MAJOR, '%s initialized for %d parameters totalling %d runs' % (self.__config__['process']['config'], self.__parameters__, runs) )
self.__queueAnalysis__()
def __init__(self, env, me): Process.__init__(self) self.ballot_number = None self.accepted = PValueSet() self.me = me self.env = env self.env.addProc(self)
def __init__(self, name , priority, message, numero):
Process.__init__(self, name, 4, priority)
self.message = message
self.numero = numero
self.timer = int(0.02* len(message))+1
# 0 no usa , 1 usa , 2 bloquea
self.external = {'Pantalla': 0, 'Audifono': 1, 'Microfono': 0, 'GPS': 0, 'Enviar Info': 1, 'Recibir Info': 1}
def run_simulation(req):
''' launch the ros node that calls gazebo using the appropriate world and urdf model
on the commandline, this command would look like this:
roslaunch atlas_utils atlas_cga.launch gzworld:=/home/ben/atlas_cga.world gzrobot:=/home/ben/Desktop/gz_walk_dynopt/gz_walking/models/atlas_cga/model2.urdf
we grab the output of this node from stdout and analyze it
'''
# req may contain a preset non-clashing gazebo simulation ID for parallel execution
trqTotal = 0
global world_loc, model_loc
cmd = "roslaunch atlas_utils atlas_cga.launch gzworld:=%s gzrobot:=%s" % (world_loc, model_loc)
proc = Process(cmd.split(), stdout=True)
while True:
try:
line = proc.readline('stdout', block=True)
except KeyboardInterrupt, rospy.ROSInterruptException:
proc.kill()
break
if line and line.startswith('~~~'):
trq = float(line.split()[4])
trqTotal += trq*trq
if line and line.startswith('=== END '):
print line
print 'Total Torque Squared', trqTotal
break
def __init__(self,config,pid): Process.__init__(self,config,pid) self._interval = 300 self._last = time() - self._interval self._data = None self.display( OUTPUT_VERBOSE, 'status process activated' )
def __init__(self, env, id, config):
Process.__init__(self, env, id)
self.ballot_number = BallotNumber(0, self.id)
self.active = False
self.proposals = {}
self.timeout = 1.0
self.config = config
self.env.addProc(self)
def __init__(self,name,priority,numero,duracion):
Process.__init__(self,name,2,priority)
self.numero = numero;
self.hist = Historial()
self.duracion = int(duracion)
self.timer = int(duracion)
# 0 no usa , 1 usa , 2 bloquea
self.external = {'Pantalla': 1, 'Audifono': 2, 'Microfono': 2, 'GPS': 0, 'Enviar Info': 1, 'Recibir Info': 1}
def __init__(self, env, me, leader, acceptors, ballot_number): Process.__init__(self) self.env = env self.me = me self.leader = leader self.acceptors = acceptors self.ballot_number = ballot_number self.env.addProc(self)
def clone(self): """ Clones opponent's source code from Github. """ print Colors.OKBLUE + Colors.BOLD + 'CLONING \t ' + self.name + Colors.ENDC ps = Process(['git', 'clone', self.repo_url, self.clone_path], TIMEOUT_GIT) ps.Run() return ps.output()
def __init__(self, outQueue, errQueue, proc_count=10, headers={}):
self.outQueue = outQueue
self.errQueue = errQueue
self.headers = {}
self.timeOut = 5
Process.__init__(self, proc_count)
def __init__(self):
Process.__init__(self)
self.block_render = True
self.ticks = 0
self.page = 0
self.dest_page = 0
self.state = 0 # 0 = zoom out, 1 = control, 2 = zoom in, 3 = change page
def produce(self, recipe, location):
process = Process(recipe)
# todo: move to process
batch = Batch(self, recipe.materials, location)
process.materials = batch
# TODO: round down duration to days or weeks
process.job = location.buy(self, recipe.professional, 1, 10)
self.processing.append(process)
def compile(self): """Run the compiler and return the stdout""" flags = [self.compiler] + self.flags + [self.main_file] process = Process(flags) stdout = process.read_stdout() return stdout
def __init__(self, env, id, config):
Process.__init__(self, env, id)
self.slot_in = self.slot_out = 1
self.proposals = {}
self.decisions = {}
self.requests = []
self.config = config
self.env.addProc(self)
def start(self):
Process.start(self)
self.zk.start()
try:
ChildrenWatch(self.zk, '', self.choose)
except ZookeeperError:
self.send(self.sched, NoMasterDetectedMessage())
self.stop()
def __init__(self, *args, **kwargs):
Process.__init__(self)
self.args = args
self.print_exprs = kwargs.pop('print_exprs', False)
if kwargs:
kwarg, _ = kwargs.popitem()
raise TypeError("'%s' is an invalid keyword argument for show()"
% kwarg)
def stop(self, failover=False):
if self.connected and not failover:
msg = DeactivateFrameworkMessage()
msg.framework_id.MergeFrom(self.framework_id)
self.send(self.master, msg)
if self.detector:
self.detector.stop()
Process.stop(self)
def start(self):
Process.start(self)
uri = self.master_uri
if uri.startswith('zk://') or uri.startswith('zoo://'):
from .detector import MasterDetector
self.detector = MasterDetector(uri[uri.index('://') + 3:], self)
self.detector.start()
else:
self.onNewMasterDetectedMessage('master@%s' % uri)
def __init__(self,driver,projId,userCount='*****@*****.**',userPass='******'):
'''
根据项目的projId初始化，默认完成工序0的用户是管理员
:param projId:
:param userCount:
:param userPass:
:return:
'''
Process.__init__(self,driver=driver,projId=projId,tpltId=0,userCount=userCount,userPass=userPass)
def __init__(self, env, me, config):
Process.__init__(self)
self.active = False
self.proposals = {}
self.env = env
self.me = me
self.ballot_number = BallotNumber(0, self.me)
self.config = config
self.env.addProc(self)
def run(self):
#wrong operation
if(RM.PI == 1):
print("wrong operation in ", RM.current_vm.PAGE)
Interrupt.kill_vm()
#division by zero
elif(RM.PI == 2):
print("division by zero in ", RM.current_vm.PAGE)
Interrupt.kill_vm()
#error while loading user's program
elif(RM.PI == 3):
print("error while trying to load ", Load.filename)
#success loading user's program
elif(RM.PI == 4):
Process.find_by_name("Main").state = State.READY
#test
elif(RM.PI == 5):
Process.find_by_name("Load").state = State.READY
#perhaps those two will be optional
if(RM.SI == 1):
pass
#read
elif(RM.SI == 2):
pass
#halt
elif(RM.SI == 3):
RM.current_vm.state = State.FINISHED
RM.current_vm = None
RM.TI = 0
#watchdog
elif(RM.SI == 4):
Interrupt.kill_vm()
#timer
if(RM.TI == 0):
#get all active vms
vms = VM.get_active()
#for vm in vms:
# print(vm, " ", vm.PAGE)
if vms != []:
#this vm already worked
vms[0].state = State.BLOCKED
#rotate vms list
VM.rotate()
#make first ready
vms[0].state = State.READY
#set timer for vm
RM.TI = TIMER_PERIOD
#turn on watchdog
Process.find_by_name("Watchdog").state = State.READY
else:
#no need to use watchdog if there is no user's programs
Process.find_by_name("Watchdog").state = State.BLOCKED
#clear
RM.PI = 0
RM.SI = 0
self.state = State.READY
def __init__(self, driver, projId, userCount="*****@*****.**", userPass="******"):
"""
根据projId初始化
:param driver:
:param projId:
:param userCount:
:param userPass:
:return:
"""
Process.__init__(self, driver=driver, projId=projId, tpltId=2, userCount=userCount, userPass=userPass)
main = hx8kboard.main() # Generate the SCLK signal (12 MHz/4 = 3 MHz) clk_counter = mantle.Counter(2) sclk = clk_counter.O[-1] # Initialize Modules # ArduCAM cam = ArduCAM() m.wire(main.CLKIN, cam.CLK) m.wire(sclk, cam.SCK) m.wire(main.J2_8, cam.MISO) # Pre-processing process = Process() m.wire(main.CLKIN, process.CLK) m.wire(sclk, process.SCK) m.wire(cam.DATA, process.DATA) m.wire(cam.VALID, process.VALID) # Rescaling image rescale = Rescale() m.wire(main.CLKIN, rescale.CLK) m.wire(process.PXV, rescale.DATA) m.wire(sclk, rescale.SCK) m.wire(process.LOAD, rescale.LOAD) # Feed image to BNN pipeline pipeline = Pipeline() m.wire(sclk, pipeline.CLK)
def main():
# Initialize some variables that will be used later on
table_size = 100
scheduling_quantum = 1
num_threads = 1
scheduler = None
# First read the input file
if (len(sys.argv) != 2) :
sys.exit("Usage: " + sys.argv[0] + " <input file>")
input = {}
with open(sys.argv[1]) as f:
input = json.load(f)
# Process the options section.
# The only current option is the table size
if 'options' in input:
options = input['options']
if 'table_size' in options:
table_size = options['table_size']
# Initialize the process table with the given size
table = ProcessTable(table_size)
# Figure out which scheduling algorithm we should use
if 'schedule' in input and 'scheduling_algorithm' in input['schedule'] :
algorithm = input['schedule']['scheduling_algorithm']
if algorithm == 'fcfs' :
scheduler = CpuSchedulerFcfs()
elif algorithm == 'priority_round_robin':
scheduler = CpuSchedulerPriorityRoundRobin()
else :
sys.exit("Error: schedule/scheduling_algorithm must be specified")
# Get the the scheduling quantum, if it's found
# (if not, we will just use the default of 1 from above)
if 'scheduling_quantum' in input['schedule'] :
scheduling_quantum = input['schedule']['scheduling_quantum']
# TODO: There is a new parameter called "num_threads" in the "schedule"
# section that indicates how many threads the program should create.
# Retrieve that value here and assign it to num_threads.
# Load the processes from the input into the process table and the scheduler
for process in input['processes']:
p = Process(process['process_name'], -1, process['priority'], process['cpu_needed'])
p.setProcessId(table.add(p))
scheduler.addProcess(p)
# Print the process table one time after all processes are loaded
print(table)
# Now we will start the threads that will perform the actual execution
# of the processes
threads = []
for threadNum in range(0, num_threads) :
# TODO: Add the appropriate parameters to the ScheduleThread constructor here
newThread = ScheduleThread()
threads.append(newThread)
newThread.start()
# Wait for all threads to complete
for t in threads:
t.join()
return 0
def format_partition(parent, device):
partitions = []
def add_partition(device, fstype):
partitions.append((device, fstype))
partition_list(add_partition, unmounted=True)
if not partitions:
error_box(parent, 'No unmounted partitions')
return False
def sort_partition(x, y):
return cmp(x[0], y[0])
partitions.sort(sort_partition)
dialog = Dialog(parent=parent,
title='Format',
buttons=(gtk.STOCK_CANCEL, gtk.RESPONSE_CANCEL,
gtk.STOCK_OK, gtk.RESPONSE_OK))
dialog.set_alternative_button_order((gtk.RESPONSE_OK, gtk.RESPONSE_CANCEL))
dialog.set_default_response(gtk.RESPONSE_OK)
table = gtk.Table(rows=5, columns=2)
set_props(table,
row_spacing=6,
column_spacing=6,
border_width=6,
parent=dialog.vbox)
widgets = []
for row, widget_type in enumerate(entries):
widget = widget_type()
label = gtk.Label()
label.set_text_with_mnemonic(widget_type.label + ':')
label.set_mnemonic_widget(widget)
set_props(label, xalign=0.0)
table.attach(label, 0, 1, row, row + 1)
if widget_type == Device:
widget.fill(partitions, device)
if isinstance(widget, gtk.Entry):
widget.set_activates_default(True)
if isinstance(widget, gtk.SpinButton):
attach_widget = gtk.HBox()
attach_widget.pack_start(widget, expand=False, fill=False)
else:
attach_widget = widget
table.attach(attach_widget, 1, 2, row, row + 1)
widgets.append(widget)
widgets[0].grab_focus()
dialog.show_all()
while 1:
if dialog.run() != gtk.RESPONSE_OK:
dialog.destroy()
return False
dev = widgets[0].get_device()
msg = 'Are you sure you want to format %s?' % dev
ask = gtk.MessageDialog(parent=dialog,
flags=gtk.DIALOG_DESTROY_WITH_PARENT,
type=gtk.MESSAGE_QUESTION,
buttons=gtk.BUTTONS_YES_NO,
message_format=msg)
if ask.run() == gtk.RESPONSE_YES:
break
else:
ask.destroy()
command = list(base_command)
for widget in widgets[1:]:
arg = widget.get_arg()
if arg:
command.extend(arg)
command.append(dev)
dialog.destroy()
mkfs = Process(command, 'Format', 'Formatting...', parent, spin_now=True)
success, output, k = mkfs.reap()
if not success:
error_box(parent, 'Format error: %s' % output)
return False
return True
while True:
num_burst = math.floor(generator.drand()*100)+1
if num_burst > upper_bound:
continue
else:
break
burst = []
io = []
for y in range(num_burst-1):
a = checkUpperBound(upper_bound)
b = checkUpperBound(upper_bound)
burst.append(a)
io.append(b)
c = checkUpperBound(upper_bound)
burst.append(c)
process = Process(pid,arr,burst,io)
processes.append(process)
processes1 = deepcopy(processes)
processes2 = deepcopy(processes)
processes3 = deepcopy(processes)
processes4 = deepcopy(processes)
FCFS(processes1, t_cs/2)
print()
SJF(processes2, t_cs/2)
print()
SRT(processes3,t_cs/2)
print()
RR(processes4,t_cs/2,t_slice,rradd)
FCFS_burst = 0
FCFS_total_burst = 0
def addProcess(self, isCoordiantor):
LogicalRing.activeProcesses.append(
Process(self.nextProcess(), isCoordiantor))
def renderScene(self,
outFileName,
renderDir,
mitsubaPath,
oiiotoolPath,
mtsDir,
keepTempFiles,
geometryFiles,
animation=False,
frame=1,
verbose=False,
renderSettings=None):
imageDir = os.path.join(os.path.split(renderDir)[0], 'images')
os.chdir(imageDir)
sceneName = self.getScenePrefix()
imagePrefix = cmds.getAttr("defaultRenderGlobals.imageFilePrefix")
if imagePrefix is None:
imagePrefix = sceneName
writePartialResults = False
writePartialResultsInterval = -1
blockSize = 32
threads = 0
if renderSettings:
extension = getImageExtension(renderSettings)
writePartialResults = cmds.getAttr(
"%s.%s" % (renderSettings, "writePartialResults"))
writePartialResultsInterval = cmds.getAttr(
"%s.%s" % (renderSettings, "writePartialResultsInterval"))
blockSize = cmds.getAttr("%s.%s" % (renderSettings, "blockSize"))
threads = cmds.getAttr("%s.%s" % (renderSettings, "threads"))
print("Render Settings - Partial Results : %s" %
writePartialResults)
print("Render Settings - Results Interval : %s" %
writePartialResultsInterval)
print("Render Settings - Block Size : %s" % blockSize)
if threads:
print("Render Settings - Threads : %s" % threads)
if animation:
extensionPadding = cmds.getAttr(
"defaultRenderGlobals.extensionPadding")
logName = os.path.join(
imageDir, imagePrefix + "." +
str(frame).zfill(extensionPadding) + ".log")
imageName = os.path.join(
imageDir, imagePrefix + "." +
str(frame).zfill(extensionPadding) + "." + extension)
else:
logName = os.path.join(imageDir, imagePrefix + ".log")
imageName = os.path.join(imageDir, imagePrefix + "." + extension)
args = []
if verbose:
args.append('-v')
if writePartialResults:
args.extend(['-r', str(writePartialResultsInterval)])
if threads:
args.extend(['-p', str(threads)])
args.extend(['-b', str(blockSize), '-o', imageName, outFileName])
if ' ' in mtsDir:
env = {"LD_LIBRARY_PATH": str("\"%s\"" % mtsDir)}
else:
env = {"LD_LIBRARY_PATH": str(mtsDir)}
mitsubaRender = Process(description='render an image',
cmd=mitsubaPath,
args=args,
env=env)
def renderLogCallback(line):
if "Writing image" in line:
imageName = line.split("\"")[-2]
# Display the render
if not cmds.about(batch=True):
MitsubaRendererUI.showRender(imageName)
mitsubaRender.log_callback = renderLogCallback
#mitsubaRender.echo = False
mitsubaRender.execute()
mitsubaRender.write_log_to_disk(logName, format='txt')
print("Render execution returned : %s" % mitsubaRender.status)
if oiiotoolPath != "":
self.resetImageDataWindow(imageName, oiiotoolPath)
if not keepTempFiles:
#Delete all of the temp file we just made
os.chdir(renderDir)
for geometryFile in geometryFiles:
try:
#print( "Removing geometry : %s" % geometryFile )
os.remove(geometryFile)
except:
print("Error removing temporary file : %s" % geometryFile)
#print( "Removing mitsuba scene description : %s" % outFileName )
os.remove(outFileName)
#os.remove(logName)
else:
print("Keeping temporary files")
return imageName
class MemWorker(object):
def __init__(self, process_name, end_offset=None, start_offset=None):
logger.info('opening process %s ...' % process_name)
self.process = Process()
self.process.open_debug_from_name(process_name)
si = self.process.GetSystemInfo()
if end_offset:
self.end_offset = end_offset
else:
self.end_offset = si.lpMaximumApplicationAddress
if start_offset:
self.start_offset = start_offset
else:
self.start_offset = si.lpMinimumApplicationAddress
def Address(self, value, default_type='uint'):
""" wrapper to instanciate an Address class for the memworker.process"""
return Address(value, process=self.process, default_type=default_type)
def get_process(self):
return self.process
def search_address(self, address):
address = int(address)
for m in self.process.list_modules():
for addr in self.mem_search(address,
ftype='ulong',
start_offset=m.modBaseAddr,
end_offset=m.modBaseSize):
logger.debug('found module %s => addr %s' % (m.szModule, addr))
def umem_replace(self, regex, replace):
""" like search_replace_mem but works with unicode strings """
regex = utils.re_to_unicode(regex)
replace = replace.encode('utf-16-le')
return self.mem_replace(re.compile(regex, re.UNICODE), replace)
def mem_replace(self, regex, replace):
""" search memory for a pattern and replace all found occurrences """
allWritesSucceed = True
for start_offset in self.mem_search(regex, ftype='re'):
if self.process.write_bytes(start_offset, replace) == 1:
logger.debug('Write at offset %s succeeded !' % start_offset)
else:
allWritesSucceed = False
logger.debug('Write at offset %s failed !' % start_offset)
return allWritesSucceed
def umem_search(self, regex):
""" like mem_search but works with unicode strings """
regex = utils.re_to_unicode(regex)
for i in self.mem_search(str(regex), ftype='re'):
yield i
def group_search(self, group, start_offset=None, end_offset=None):
regex = ''
for value, type in group:
if type == 'f' or type == 'float':
f = struct.pack('<f', float(value))
regex += '..' + f[2:4]
else:
raise NotImplementedError('unknown type %s' % type)
return self.mem_search(regex,
ftype='re',
start_offset=start_offset,
end_offset=end_offset)
def search_address(self, addr):
a = '%08X' % addr
logger.debug('searching address %s' % a)
regex = ''
for i in range(len(a) - 2, -1, -2):
regex += binascii.unhexlify(a[i:i + 2])
return self.mem_search(re.escape(regex), ftype='re')
def mem_search(self,
value,
ftype='match',
protec=PAGE_READWRITE | PAGE_READONLY,
start_offset=None,
end_offset=None):
"""
iterator returning all indexes where the pattern has been found
"""
ftype = ftype.lower().strip()
if type(value) is list:
ftype = 'group'
if ftype == 're':
if type(value) is str:
regex = re.compile(value)
else:
regex = value
if start_offset is None:
offset = self.start_offset
else:
offset = start_offset
if end_offset is None:
end_offset = self.end_offset
if ftype == 'float':
structtype, structlen = utils.type_unpack(ftype)
elif ftype != 'match' and ftype != 'group' and ftype != 're':
structtype, structlen = utils.type_unpack(ftype)
value = struct.pack(structtype, value)
while True:
if offset >= end_offset:
break
totalread = 0
mbi = self.process.VirtualQueryEx(offset)
offset = mbi.BaseAddress
chunk = mbi.RegionSize
protect = mbi.Protect
state = mbi.State
if state & MEM_FREE or state & MEM_RESERVE:
offset += chunk
continue
if protec:
if not protect & protec or protect & PAGE_NOCACHE or protect & PAGE_WRITECOMBINE or protect & PAGE_GUARD:
offset += chunk
continue
b = ''
#b = self.process.read_bytes(offset, chunk)
try:
b = self.process.read_bytes(offset, chunk)
totalread = len(b)
except Exception as e:
#print(e)
offset += chunk
continue
if b:
if ftype == 're':
duplicates_cache = set()
for res in regex.findall(b):
index = b.find(res)
while index != -1:
soffset = offset + index
if soffset not in duplicates_cache:
duplicates_cache.add(soffset)
yield self.Address(soffset, 'bytes')
index = b.find(res, index + len(res))
elif ftype == 'float':
for index in range(0, len(b)):
try:
tmpval = struct.unpack(structtype,
b[index:index + 4])[0]
if int(value) == int(tmpval):
soffset = offset + index
yield self.Address(soffset, 'float')
except Exception as e:
print(e)
else:
index = b.find(value)
while index != -1:
soffset = offset + index
yield self.Address(soffset, 'bytes')
index = b.find(value, index + 1)
offset += totalread
def train(model=None, re_train=False):
word_model = CustomEmbedding(
re_train=re_train
) # To prevent creating embeddings if re_train is True
train_set, valid_set, indexes = word_model.train_set, word_model.valid_set, word_model.indexes
w2idx, la2idx = indexes['w2idx'], indexes['la2idx']
idx2w, idx2la = indexes['idx2w'], indexes['idx2la']
n_classes = len(idx2la)
n_vocab = len(idx2w)
train_x, train_label = train_set
valid_x, valid_label = valid_set
log("Processing word indexes... ")
words_val = [list(map(lambda x: idx2w[x], w)) for w in valid_x]
groundtruth_val = [list(map(lambda x: idx2la[x], y)) for y in valid_label]
log("Done processing word indexes!")
if re_train == False:
'''
DEFINE MODEL
'''
model = Sequential()
model.add(word_model.EmbeddingLayer())
model.add(Conv1D(128, 5, padding="same", activation='relu'))
model.add(Dropout(Config.DROPOUT))
model.add(
Bidirectional(
LSTM(units=Config.EMBEDDING_SIZE,
dropout=Config.DROPOUT,
recurrent_dropout=Config.DROPOUT,
kernel_initializer=he_normal(),
return_sequences=True)))
model.add(SeqSelfAttention(attention_activation='sigmoid'))
# model.add(GRU(units=Config.EMBEDDING_SIZE,
# dropout=Config.DROPOUT,
# recurrent_dropout=Config.DROPOUT,
# kernel_initializer=he_normal(),
# return_sequences=True))
model.add(TimeDistributed(Dense(n_classes, activation='softmax')))
model.add(CRF(n_classes, sparse_target=False, learn_mode='join'))
model.compile(Config.OPTIMIZER,
Config.LOSS,
metrics=[crf_viterbi_accuracy])
process = Process(model)
max_f1 = 0
try:
for i in range(Config.N_EPOCHS):
log("Epoch " + str(i + 1), display=False)
highlight('violet', 'Epoch ' + str(i + 1))
partition(80)
log("Training ")
process.train(train_set)
log("Validating ")
predword_val = process.validate(valid_set)
# Accuracy tests here using (predword_val, groundtruth_val, words_val) and save best model
metrics = conlleval(predword_val, groundtruth_val, words_val,
'diff.txt')
log('Precision = {}, Recall = {}, F1 = {}'.format(
metrics['precision'], metrics['recall'], metrics['f1']))
if metrics['f1'] > max_f1:
max_f1 = metrics['f1']
process.save('trained_model_' + str(Config.FILE_PATTERN) +
'_' + str(max_f1))
log("New model saved!", display=False)
highlight('white', 'Best validation F1 score : ' + str(max_f1))
log('Best validation F1 score : ' + str(max_f1), display=False)
log('Cleaning /trained_model folder...')
clean()
log('Removed all other saved models, kept the best model only!')
except KeyboardInterrupt: # If in case ctrl + c pressed, needs to clean up and exit
log("\nTraining interrupted with ctrl + c ...")
log('Cleaning /trained_model folder...')
clean()
log('Removed all other saved models, kept the best model only!')
sys.exit()
def test(process=None, sentences=None, read_file=True):
start = time.time()
if read_file:
best_model_filename = getBestSavedModelToTest()
process = Process()
# Load trained model
process.load(best_model_filename)
f = open('tests/test_sentances.txt', 'r')
sentences = f.readlines()
f.close()
# Clean loaded sentances from file - removing '\n' from each sentance
sentences = process_sentances(sentences)
f = open('tests/slots_' + str(Config.FILE_PATTERN) + '.txt', 'w')
arr_slots = []
for sentence in sentences:
words, BIO = process.test(sentence) # Test on sentance
f.write(str(sentence) + "\n\n")
slots = {}
slot_type = None
value = ''
prev_slot_type = None
for idx, slot in enumerate(BIO):
if slot != 'O':
f.write(str(words[idx]) + " - " + str(slot) + "\n")
'''
Grouping the slots
san - B-toloc.city_name
francisco - I-toloc.city_name
------------------------------
Returns -> {'toloc.city_name': ['san francisco']}
'''
slot_type = slot.split("-")[1]
pos = slot.split("-")[0]
if pos == 'B':
if slot_type not in slots:
if prev_slot_type is not None:
slots[prev_slot_type].append(value.strip())
value = words[idx] + ' '
slots[slot_type] = []
prev_slot_type = slot_type
else:
slots[prev_slot_type].append(value.strip())
value = words[idx] + ' '
else: # pos == 'I'
value += words[idx] + ' '
slots[slot_type].append(value.strip())
log('Slots compiled into groups...')
f.write(partition(80) + "\n")
arr_slots.append(slots)
end = time.time()
f.close()
highlight('green', 'Output can be found in `slots.txt` file!')
response_time = end - start
if not read_file:
return (response_time, arr_slots[0]
) # As we're sending only one sentance in API URL
def __init__(self, options): self.options = options self.process = Process()
# output directory
summarize_out = config.summarize['out_dir']
if not path.exists(summarize_out):
os.mkdir(summarize_out)
# get args
arg_order = ["regressors", "mask", "tvals", "out_dir"]
args = [config.summarize[arg] for arg in arg_order]
arg3 = ""
for tval_info in eval(args[2]):
arg3 += "%s %s " % tuple(tval_info.split())
args[2] = arg3[0:-1]
# execute command
p = Process("./glm_summarize.R %s" % " ".join(args))
print p.stdout
if p.pid != 0:
print p.stderr
raise Exception("glm_summarize.R failed"
) # note will fail but seems like stuff is ok
## Combine GLM Summary with MDMR
from glob import glob
arg_order = ["mask", "mdmr_zstats", "glm_summary", "out_dir"]
args = [config.dataframe[arg] for arg in arg_order]
args[2] = " ".join(glob(args[2]))
p = Process("./glm_dataframe.R %s" % " ".join(args))
print p
if p.pid != 0:
print p.stderr
def __init__(self, filename):
self.process = Process() # Creats an object
self.reader = FileReader(filename, self.process) # Creates an object
self.reader.run() # call the run method
self.process.totalCost()
class AutoCraft:
def __init__(self, json_data=None, mode=None):
self.opt_help = 0
self.opt_foodbuff = 0
self.opt_potbuff = 0
self.opt_collectable = 0
self.opt_limit = 0
self.opt_notify = 0
self.opt_repair = 0
self.flask = 0
if mode == "Flask":
self.flask = 1
self.food_time = 0
self.craft_amount = 0
self.pot_time = 0
self.json_data = json_data
if self.json_data:
self.ffxiv = Process(self.json_data["process_name"])
self.macro_amount = self.json_data["macro_amount"]
self.timer_list = ["m1", "m2", "m3", "m4"]
self.button_list = ["k1", "k2", "k3", "k4"]
else:
print("ERROR: JSON file not found. Try running setup.py")
if self.flask == 0:
self.crafter()
def args_checker(self):
accepted_args = [
"repair", "foodbuff", "potbuff", "collectable", "limit", "notify",
"--help"
]
args = sys.argv[1:]
all_ok = 0
if "flask" in set(args):
self.flask = 1
try:
with open("automation_settings.json", "r") as f:
data = json.load(f)
self.food_time = data["temp_food_time"]
self.craft_amount = data["temp_craft_amount"]
self.pot_time = data["temp_pot_time"]
except FileNotFoundError:
print("ERROR: Requires automation_settings.json")
quit()
for arg in args:
if arg == "flask":
all_ok += 1
if arg == "--help":
self.opt_help = 1
all_ok += 1
if arg == "repair":
self.opt_repair = 1
all_ok += 1
if arg == "foodbuff":
self.opt_foodbuff = 1
all_ok += 1
if arg == "potbuff":
self.opt_potbuff = 1
all_ok += 1
if arg == "collectable":
self.opt_collectable = 1
all_ok += 1
if arg == "limit":
self.opt_limit = 1
all_ok += 1
if arg == "notify":
self.opt_notify = 1
all_ok += 1
if all_ok != len(args):
print("Incorrect argument(s). Choose from this list:\n{}\n".format(
accepted_args))
quit()
def notifier(self, title=None, message=None):
toaster = ToastNotifier()
toaster.show_toast(title, message, duration=7)
def int_validator(self, value=None):
if value != None:
try:
value = int(value)
except ValueError:
print(
"Error: Input needs to be a number. Restart ffxiv_jidoucraft.py."
)
quit()
return value
def time_estimater(self, json_data, craft_amount):
m_time = 0
for i in range(self.macro_amount):
m_time += self.json_data[self.timer_list[i]]
m_time += 8 # Numpad 0 presses estimated amount of time it takes
res = (craft_amount * m_time) / 60
print(" -> Estimated completion time: {:.2f} minutes.".format(res))
def auto_end(self, craft_count, craft_amount):
print("Crafted {} times, quitting program.".format(craft_amount))
if self.opt_notify == 1:
notify_message = "Crafted {} times.".format(craft_amount)
self.notifier("Crafting Batch Finished", notify_message)
quit()
def auto_foodbuff(self):
print(" -> Standing up by pressing ESC")
for esc_counter in range(12):
self.ffxiv.press_key("{VK_ESCAPE}")
sleep(2)
print(" -> Eating food")
for food_counter in range(2):
self.ffxiv.press_key(self.json_data["food_key"])
sleep(7)
def auto_potbuff(self):
print(" -> Standing up by pressing ESC")
for esc_counter in range(12):
self.ffxiv.press_key("{VK_ESCAPE}")
sleep(2)
print(" -> Eating pot")
for food_counter in range(2):
self.ffxiv.press_key(self.json_data["pot_key"])
sleep(7)
def auto_repair(self):
print(" -> Standing up by pressing ESC")
for esc_counter in range(12):
self.ffxiv.press_key("{VK_ESCAPE}")
sleep(2)
print(" -> Pressing repair menu")
self.ffxiv.press_key("q")
sleep(0.1)
self.ffxiv.press_key("{VK_NUMPAD0}")
sleep(0.1)
self.ffxiv.press_key("{VK_NUMPAD6}")
self.ffxiv.press_key("{VK_NUMPAD0}")
self.ffxiv.press_key("{VK_ESCAPE}")
sleep(8)
def crafter(self):
if self.flask == 0:
self.args_checker()
if self.opt_help == 1:
with open("help.txt", "r") as f:
helper = f.read()
print(helper)
quit()
just_buffed = 0
repair_limiter = 0
foodbuff = 0
food_time = None
food_limiter = 0
potbuff = 0
pot_time = None
pot_limiter = 0
collectable = 0
craft_counter = 0
craft_amount = None
notify = 0
if self.opt_notify == 1:
notify = 1
if self.opt_foodbuff == 1:
print("Adding foodbuffer to crafting automation...")
if self.flask == 1:
food_time = self.food_time
else:
food_time = input("What is your current food buff time?\n")
food_time = self.int_validator(food_time)
foodbuff = 1
if self.opt_potbuff == 1:
print("Adding potbuffer to crafting automation...")
if self.flask == 1:
pot_time = self.pot_time
else:
pot_time = input("What is your current pot buff time?\n")
pot_time = self.int_validator(pot_time)
potbuff = 1
if self.opt_collectable == 1:
print("Collectable mode activated...")
if self.opt_limit == 1:
print("How many crafts do you want to limit to?")
if self.flask == 1:
craft_amount = self.craft_amount
else:
craft_amount = input()
try:
craft_amount = int(craft_amount)
except ValueError:
print(
" -> ERROR: Enter a number. Run ffxiv_jidoucraft.py again."
)
quit()
self.time_estimater(self.json_data, craft_amount)
if self.opt_repair == 1:
print("Auto repair activated...")
# Regular auto-craft
print("Starting crafting automation...")
print("TO QUIT: PRESS CTRL+C")
while True:
if self.opt_collectable == 1:
if craft_counter != 0:
print(" -> Collectable mode selected, please wait.")
sleep(5)
self.ffxiv.press_key("{VK_ESCAPE}")
sleep(2)
food_limiter += 7
pot_limiter += 7
repair_limiter += 7
if self.opt_limit == 1:
if craft_counter >= craft_amount:
self.auto_end(craft_counter, craft_amount)
print("Craft #{}".format(craft_counter + 1))
if self.opt_repair == 1:
if repair_limiter >= 2280:
self.auto_repair()
repair_limiter = 0
if foodbuff == 1:
if food_limiter >= food_time:
self.auto_foodbuff()
food_limiter = 0
food_time = 1770 # Default 30 min pot buff minus 30 seconds
just_buffed += 1
if potbuff == 1:
if pot_limiter >= pot_time:
self.auto_potbuff()
pot_limiter = 0
pot_time = 870 # Default 15 min pot buff minus 30 seconds
just_buffed += 1
if just_buffed >= 1:
print(" -> Selecting Craft")
self.ffxiv.press_key(self.json_data["craft_key"])
just_buffed = 0
sleep(0.01)
print(" -> Pressing + Selecting 'Synthesis'")
for i in range(4):
self.ffxiv.press_key("{VK_NUMPAD0}")
sleep(0.5)
food_limiter += 2
pot_limiter += 2
repair_limiter += 2
for i in range(self.macro_amount):
self.ffxiv.press_key(self.json_data[self.button_list[i]])
print(" -> Pressing Macro {}".format(i + 1))
print(" -> Waiting {} seconds.".format(
self.json_data[self.timer_list[i]]))
sleep(self.json_data[self.timer_list[i]])
food_limiter += self.json_data[self.timer_list[i]]
pot_limiter += self.json_data[self.timer_list[i]]
repair_limiter += self.json_data[self.timer_list[i]]
sleep(3)
food_limiter += 3
pot_limiter += 3
repair_limiter += 3
craft_counter += 1
def __init__(self, process=None):
self.process = process or Process(env=self.get_env())
self.python = Python()
def main():
process_list = [Process(address, verbose=False) for address in ADDRESS_LIST]
driver = Driver(HOME)
driver.verbose=True
easy_least_squares(driver)
def main(run_load_from_file=False):
# load MNIST images
images, labels = dataset.load_train_images()
# config
opt = Operation()
opt.check_dir(config.ckpt_dir, is_restart=False)
opt.check_dir(config.log_dir, is_restart=True)
# setting
max_epoch = 510
num_trains_per_epoch = 500
batch_size_l = 100
batch_size_u = 100
# create semi-supervised split
num_validation_data = 10000
num_labeled_data = 100
num_types_of_label = 10
training_images_l, training_labels_l, training_images_u, validation_images, validation_labels = dataset.create_semisupervised(
images, labels, num_validation_data, num_labeled_data,
num_types_of_label)
# training
with tf.device(config.device):
h = build_graph()
sess_config = tf.ConfigProto(allow_soft_placement=True,
log_device_placement=True)
sess_config.gpu_options.allow_growth = True
sess_config.gpu_options.per_process_gpu_memory_fraction = 0.9
saver = tf.train.Saver(max_to_keep=2)
with tf.Session(config=sess_config) as sess:
'''
Load from checkpoint or start a new session
'''
if run_load_from_file:
saver.restore(sess, tf.train.latest_checkpoint(config.ckpt_dir))
training_epoch_loss, _ = pickle.load(
open(config.ckpt_dir + '/pickle.pkl', 'rb'))
else:
sess.run(tf.global_variables_initializer())
training_epoch_loss = []
# Recording loss per epoch
process = Process()
for epoch in range(max_epoch):
process.start_epoch(epoch, max_epoch)
'''
Learning rate generator
'''
learning_rate = opt.ladder_learning_rate(epoch +
len(training_epoch_loss))
# Recording loss per iteration
training_loss_set = []
sum_loss_reconstruction = 0
sum_loss_supervised = 0
sum_loss_discrminator = 0
sum_loss_generator = 0
process_iteration = Process()
for i in range(num_trains_per_epoch):
process_iteration.start_epoch(i, num_trains_per_epoch)
# sample from data distribution
images_l, label_onehot_l, label_id_l = dataset.sample_labeled_data(
training_images_l, training_labels_l, batch_size_l)
images_u = dataset.sample_unlabeled_data(
training_images_u, batch_size_u)
# reconstruction_phase
_, loss_reconstruction = sess.run([h.opt_r, h.loss_r],
feed_dict={
h.x: images_u,
h.lr: learning_rate
})
z_true_u = sampler.gaussian(batch_size_u,
config.ndim_z,
mean=0,
var=1)
y_true_u = sampler.onehot_categorical(batch_size_u,
config.ndim_y)
# adversarial phase for discriminator
_, loss_discriminator_y = sess.run([h.opt_dy, h.loss_dy],
feed_dict={
h.x: images_u,
h.y: y_true_u,
h.lr: learning_rate
})
_, loss_discriminator_z = sess.run([h.opt_dz, h.loss_dz],
feed_dict={
h.x: images_u,
h.z: z_true_u,
h.lr: learning_rate
})
loss_discriminator = loss_discriminator_y + loss_discriminator_z
# adversarial phase for generator
_, loss_generator_y, loss_generator_z = sess.run(
[h.opt_e, h.loss_gy, h.loss_gz],
feed_dict={
h.x: images_u,
h.lr: learning_rate
})
loss_generator = loss_generator_y + loss_generator_z
# supervised phase
_, loss_generator_supervised = sess.run([h.opt_ey, h.loss_ey],
feed_dict={
h.x: images_l,
h.y_s: label_id_l,
h.lr: learning_rate
})
training_loss_set.append([
loss_reconstruction, loss_discriminator,
loss_discriminator_y, loss_discriminator_z, loss_generator,
loss_generator_z, loss_generator_y,
loss_generator_supervised
])
sum_loss_reconstruction += loss_reconstruction / batch_size_u
sum_loss_discrminator += loss_discriminator
sum_loss_generator += loss_generator
sum_loss_supervised += loss_generator_supervised
if i % 1000 == 0:
process_iteration.show_table_2d(
i, num_trains_per_epoch, {
'reconstruction': sum_loss_reconstruction /
(i + 1),
'discriminator': sum_loss_discrminator / (i + 1),
'generator': sum_loss_generator / (i + 1),
'supervise': sum_loss_supervised / (i + 1)
})
# In end of epoch, summary the loss
average_training_loss_per_epoch = np.mean(
np.array(training_loss_set), axis=0)
# validation phase
images_v_segments = np.split(validation_images,
num_validation_data // 1000)
labels_v_segments = np.split(validation_labels,
num_validation_data // 1000)
sum_accuracy = 0
for images_v, labels_v in zip(images_v_segments,
labels_v_segments):
y_v = sess.run(h.y_r, feed_dict={h.x: images_v})
prediction = np.argmax(y_v, 1)
equality = np.equal(prediction, labels_v)
accuracy = np.mean(equality.astype(np.float32))
sum_accuracy += accuracy
validation_accuracy = sum_accuracy / len(images_v_segments)
# append validation accuracy to the training loss
average_loss_per_epoch = np.append(average_training_loss_per_epoch,
validation_accuracy)
training_epoch_loss.append(average_loss_per_epoch)
loss_name_per_epoch = [
'reconstruction', 'discriminator', 'discriminator_y',
'discriminator_z', 'generator', 'generator_z', 'generator_y',
'supervised', 'validation_accuracy'
]
if epoch % 1 == 0:
process.show_bar(
epoch, max_epoch, {
'loss_r': average_loss_per_epoch[0],
'loss_d': average_loss_per_epoch[1],
'loss_g': average_loss_per_epoch[4],
'loss_v': average_loss_per_epoch[8]
})
plt.tile_images(sess.run(h.x_, feed_dict={h.x: images_u}),
dir=config.log_dir,
filename='x_rec_epoch_{}'.format(
str(epoch).zfill(3)))
if epoch % 10 == 0:
saver.save(sess,
os.path.join(config.ckpt_dir, 'model_ckptpoint'),
global_step=epoch)
pickle.dump((training_epoch_loss, loss_name_per_epoch),
open(config.ckpt_dir + '/pickle.pkl', 'wb'))
plt.plot_double_scale_trend(config.ckpt_dir)
def start(self):
Process.start(self)
self.isolation.initialize(self)
self.register() # master detector TODO
class GUI(QMainWindow, QThread):
def __init__(self):
super(GUI, self).__init__()
self.initUI()
self.webcam = Webcam()
self.video = Video()
self.input = self.webcam
self.dirname = ""
print("Input: webcam")
self.statusBar.showMessage("Input: webcam", 5000)
self.btnOpen.setEnabled(False)
self.process = Process()
self.status = False
self.frame = np.zeros((10, 10, 3), np.uint8)
#self.plot = np.zeros((10,10,3),np.uint8)
self.bpm = 0
def initUI(self):
#set font
font = QFont()
font.setPointSize(16)
#widgets
self.btnStart = QPushButton("Start", self)
self.btnStart.move(440, 520)
self.btnStart.setFixedWidth(200)
self.btnStart.setFixedHeight(50)
self.btnStart.setFont(font)
self.btnStart.clicked.connect(self.run)
self.btnOpen = QPushButton("Open", self)
self.btnOpen.move(230, 520)
self.btnOpen.setFixedWidth(200)
self.btnOpen.setFixedHeight(50)
self.btnOpen.setFont(font)
self.btnOpen.clicked.connect(self.openFileDialog)
self.cbbInput = QComboBox(self)
self.cbbInput.addItem("Webcam")
self.cbbInput.addItem("Video")
self.cbbInput.setCurrentIndex(0)
self.cbbInput.setFixedWidth(200)
self.cbbInput.setFixedHeight(50)
self.cbbInput.move(20, 520)
self.cbbInput.setFont(font)
self.cbbInput.activated.connect(self.selectInput)
#-------------------
self.lblDisplay = QLabel(self) #label to show frame from camera
self.lblDisplay.setGeometry(10, 10, 640, 480)
self.lblDisplay.setStyleSheet("background-color: #000000")
self.lblROI = QLabel(self) #label to show face with ROIs
self.lblROI.setGeometry(660, 10, 200, 200)
self.lblROI.setStyleSheet("background-color: #000000")
self.lblHR = QLabel(self) #label to show HR change over time
self.lblHR.setGeometry(900, 20, 300, 40)
self.lblHR.setFont(font)
self.lblHR.setText("Frequency: ")
self.lblHR2 = QLabel(self) #label to show stable HR
self.lblHR2.setGeometry(900, 70, 300, 40)
self.lblHR2.setFont(font)
self.lblHR2.setText("Heart rate: ")
# self.lbl_Age = QLabel(self) #label to show stable HR
# self.lbl_Age.setGeometry(900,120,300,40)
# self.lbl_Age.setFont(font)
# self.lbl_Age.setText("Age: ")
# self.lbl_Gender = QLabel(self) #label to show stable HR
# self.lbl_Gender.setGeometry(900,170,300,40)
# self.lbl_Gender.setFont(font)
# self.lbl_Gender.setText("Gender: ")
#dynamic plot
self.signal_Plt = pg.PlotWidget(self)
self.signal_Plt.move(660, 220)
self.signal_Plt.resize(480, 192)
self.signal_Plt.setLabel('bottom', "Signal")
self.fft_Plt = pg.PlotWidget(self)
self.fft_Plt.move(660, 425)
self.fft_Plt.resize(480, 192)
self.fft_Plt.setLabel('bottom', "FFT")
self.timer = pg.QtCore.QTimer()
self.timer.timeout.connect(self.update)
self.timer.start(200)
self.statusBar = QStatusBar()
self.statusBar.setFont(font)
self.setStatusBar(self.statusBar)
#event close
self.c = Communicate()
self.c.closeApp.connect(self.close)
#event change combobox index
#config main window
self.setGeometry(100, 100, 1160, 640)
#self.center()
self.setWindowTitle("Heart rate monitor")
self.show()
def update(self):
#z = np.random.normal(size=1)
#u = np.random.normal(size=1)
self.signal_Plt.clear()
self.signal_Plt.plot(self.process.samples[20:], pen='g')
self.fft_Plt.clear()
self.fft_Plt.plot(np.column_stack(
(self.process.freqs, self.process.fft)),
pen='g')
def center(self):
qr = self.frameGeometry()
cp = QDesktopWidget().availableGeometry().center()
qr.moveCenter(cp)
self.move(qr.topLeft())
def closeEvent(self, event):
reply = QMessageBox.question(self, "Message",
"Are you sure want to quit",
QMessageBox.Yes | QMessageBox.No,
QMessageBox.Yes)
if reply == QMessageBox.Yes:
event.accept()
self.input.stop()
cv2.destroyAllWindows()
else:
event.ignore()
def selectInput(self):
self.reset()
if self.cbbInput.currentIndex() == 0:
self.input = self.webcam
print("Input: webcam")
self.btnOpen.setEnabled(False)
self.statusBar.showMessage("Input: webcam", 5000)
elif self.cbbInput.currentIndex() == 1:
self.input = self.video
print("Input: video")
self.btnOpen.setEnabled(True)
self.statusBar.showMessage("Input: video", 5000)
def mousePressEvent(self, event):
self.c.closeApp.emit()
# def make_bpm_plot(self):
# plotXY([[self.process.times[20:],
# self.process.samples[20:]],
# [self.process.freqs,
# self.process.fft]],
# labels=[False, True],
# showmax=[False, "bpm"],
# label_ndigits=[0, 0],
# showmax_digits=[0, 1],
# skip=[3, 3],
# name="Plot",
# bg=None)
# fplot = QImage(self.plot, 640, 280, QImage.Format_RGB888)
# self.lblPlot.setGeometry(10,520,640,280)
# self.lblPlot.setPixmap(QPixmap.fromImage(fplot))
def key_handler(self):
"""
cv2 window must be focused for keypresses to be detected.
"""
self.pressed = waitKey(1) & 255 # wait for keypress for 10 ms
if self.pressed == 27: # exit program on 'esc'
print("[INFO] Exiting")
self.webcam.stop()
sys.exit()
def openFileDialog(self):
self.dirname = QFileDialog.getOpenFileName(
self, 'OpenFile', r"C:\Users\uidh2238\Desktop\test videos")
self.statusBar.showMessage("File name: " + self.dirname, 5000)
def reset(self):
self.process.reset()
self.lblDisplay.clear()
self.lblDisplay.setStyleSheet("background-color: #000000")
def main_loop(self):
frame = self.input.get_frame()
self.process.frame_in = frame
self.process.run()
#cv2.imshow("Processed", frame)
self.frame = self.process.frame_out #get the frame to show in GUI
self.f_fr = self.process.frame_ROI #get the face to show in GUI
#print(self.f_fr.shape)
self.bpm = self.process.bpm #get the bpm change over the time
self.frame = cv2.cvtColor(self.frame, cv2.COLOR_RGB2BGR)
cv2.putText(self.frame,
"FPS " + str(float("{:.2f}".format(self.process.fps))),
(20, 460), cv2.FONT_HERSHEY_PLAIN, 1.5, (0, 255, 255), 2)
img = QImage(self.frame, self.frame.shape[1], self.frame.shape[0],
self.frame.strides[0], QImage.Format_RGB888)
self.lblDisplay.setPixmap(QPixmap.fromImage(img))
self.f_fr = cv2.cvtColor(self.f_fr, cv2.COLOR_RGB2BGR)
#self.lblROI.setGeometry(660,10,self.f_fr.shape[1],self.f_fr.shape[0])
self.f_fr = np.transpose(self.f_fr, (0, 1, 2)).copy()
f_img = QImage(self.f_fr, self.f_fr.shape[1], self.f_fr.shape[0],
self.f_fr.strides[0], QImage.Format_RGB888)
self.lblROI.setPixmap(QPixmap.fromImage(f_img))
self.lblHR.setText("Freq: " + str(float("{:.2f}".format(self.bpm))))
if self.process.bpms.__len__() > 50:
if (
max(self.process.bpms - np.mean(self.process.bpms)) < 5
): #show HR if it is stable -the change is not over 5 bpm- for 3s
self.lblHR2.setText(
"Heart rate: " +
str(float("{:.2f}".format(np.mean(self.process.bpms)))) +
" bpm")
#self.lbl_Age.setText("Age: "+str(self.process.age))
#self.lbl_Gender.setText("Gender: "+str(self.process.gender))
#self.make_bpm_plot()#need to open a cv2.imshow() window to handle a pause
#QtTest.QTest.qWait(10)#wait for the GUI to respond
self.key_handler() #if not the GUI cant show anything
def run(self, input):
self.reset()
input = self.input
self.input.dirname = self.dirname
if self.input.dirname == "" and self.input == self.video:
print("choose a video first")
self.statusBar.showMessage("choose a video first", 5000)
return
if self.status == False:
self.status = True
input.start()
self.btnStart.setText("Stop")
self.cbbInput.setEnabled(False)
self.btnOpen.setEnabled(False)
self.lblHR2.clear()
while self.status == True:
self.main_loop()
elif self.status == True:
self.status = False
input.stop()
self.btnStart.setText("Start")
self.cbbInput.setEnabled(True)
class Demonstrator():
''' Runs both files in one go process and filereader '''
def __init__(self, filename):
self.process = Process() # Creats an object
self.reader = FileReader(filename, self.process) # Creates an object
self.reader.run() # call the run method
self.process.totalCost()
def displayRow(self):
return self.process.getRowCount()
def displayTotalSum(self):
return '\u00A3%0.2f' % (self.process.getTotalSum())
def displayCostDate(self):
return self.process.dateList()
def displayStaff_Names(self):
return self.process.getListOfName()
def displayStaffCost(self):
return self.process.getStaffCost()
def displaySpendings(self, ID):
return self.process.spendingType(ID)
#Last Method Run
def total_Cost(self):
return self.process.totalCost() #Must be run after
def displayStaffSum(self):
return self.process.getStaffCost()
def staffName(self):
return self.process.getStaff()
import options
from process import Process
import art
import list
if __name__ == '__main__':
art.header()
option = options.get()
tests = option[0]
resources = option[2]
if tests:
process = Process(option[1])
process.run(tests, option[1])
elif resources:
list.simple(option[3], resources)
else:
print(
"execute_tests.py: error: invalid input - check specified resource exists and is spelled correctly"
)
import cv2
import numpy as np
from process import Process
import matplotlib.pyplot as plt
from skimage import morphology, filters
from skan import draw, skeleton_to_csgraph, Skeleton, summarize
kernel = np.ones((5, 5), np.uint8)
imgb = cv2.imread('./img/Coral before.png', cv2.IMREAD_UNCHANGED)
#h, w = imgb.shape[:2]
#imgb = cv2.resize(imgb,(h,h), interpolation=cv2.INTER_CUBIC)
pbef = Process(imgb)
pbef.lowp = np.array([150, 60, 100])
pbef.highp = np.array([170, 255, 255])
pbef.loww = np.array([90, 15, 150])
pbef.highw = np.array([115, 255, 255])
maskb = pbef.mask(kernel)
resb = pbef.res(maskb)
maskb = cv2.blur(maskb, (5, 5))
binaryb = maskb > filters.threshold_otsu(maskb)
skeletonb = morphology.skeletonize(binaryb)
fig, ax = plt.subplots()
draw.overlay_skeleton_2d(maskb, skeletonb, dilate=1, axes=ax)
#graphb = csgraph_from_masked(binaryb)
#plt.imshow(graphb)
gb, cb, db = skeleton_to_csgraph(skeletonb)
draw.overlay_skeleton_networkx(gb, cb, image=maskb)
branch_datab = summarize(Skeleton(skeletonb))
class MyGame(arcade.Window):
BUTTON_NAMES = [
"A",
"B",
"X",
"Y",
"LB",
"RB",
"VIEW",
"MENU",
"LSTICK",
"RSTICK",
None,
None,
None,
None,
None,
None,
]
# ----------------------------------
# PRIVATE METHODS FOR INPUT MANAGEMENT
# ----------------------------------
def __onButtonPressed(self, _gamepad, button):
idx = self.gamepads[_gamepad]
self.onButtonPressed(idx, MyGame.BUTTON_NAMES[button])
def __onButtonReleased(self, _gamepad, button):
idx = self.gamepads[_gamepad]
self.onButtonReleased(idx, MyGame.BUTTON_NAMES[button])
def __onCrossMove(self, _gamepad, x, y):
idx = self.gamepads[_gamepad]
self.onCrossMove(idx, x, -y)
def __onAxisMove(self, _gamepad, axis, value):
idx = self.gamepads[_gamepad]
self.onAxisMove(idx, axis, value)
# ----------------------------------
# CONSTRUCTOR
# ----------------------------------
def __init__(self, width, height, title):
#init application window
super().__init__(width, height, title)
# init process object
self.process = Process()
# set application window background color
arcade.set_background_color(arcade.color.BOTTLE_GREEN)
# Store gamepad list
self.gamepads = arcade.get_joysticks()
# check every connected gamepad
if self.gamepads:
for g in self.gamepads:
#link all gamepad callbacks to the current class methods
g.open()
g.on_joybutton_press = self.__onButtonPressed
g.on_joybutton_release = self.__onButtonReleased
g.on_joyhat_motion = self.__onCrossMove
g.on_joyaxis_motion = self.__onAxisMove
# transform list into a dictionary to get its index faster
self.gamepads = {
self.gamepads[idx]: idx
for idx in range(len(self.gamepads))
}
else:
print("There are no Gamepad connected !")
self.gamepads = None
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# SETUP your game here
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def setup(self):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
self.process.setup()
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# DRAW your game elements here
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def on_draw(self):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
arcade.start_render()
self.process.draw()
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# UPDATE your game model here
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def update(self, delta_time):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
self.process.update(delta_time)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# KEY PRESSED events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def on_key_press(self, key, modifiers):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# Close application if ESCAPE key is hit
if key == arcade.key.ESCAPE:
self.close()
self.process.onKeyEvent(key, True)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# KEY RELEASED events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def on_key_release(self, key, modifiers):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
self.process.onKeyEvent(key, False)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# GAMEPAD BUTTON PRESSED events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def onButtonPressed(self, gamepadNum, buttonNum):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
self.process.onButtonEvent(gamepadNum, buttonNum, True)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# GAMEPAD BUTTON RELEASED events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def onButtonReleased(self, gamepadNum, buttonNum):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
self.process.onButtonEvent(gamepadNum, buttonNum, False)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# GAMEPAD CROSSPAD events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def onCrossMove(self, gamepadNum, xValue, yValue):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
self.process.onAxisEvent(gamepadNum, "x", xValue)
self.process.onAxisEvent(gamepadNum, "y", yValue)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# GAMEPAD AXIS events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def onAxisMove(self, gamepadNum, axisName, analogValue):
#- - - - - - - - - - - - - - - - - - - - - - - - -#
if axisName == "z":
analogValue = -analogValue
self.process.onAxisEvent(gamepadNum, axisName.upper(), analogValue)
#- - - - - - - - - - - - - - - - - - - - - - - - -#
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# MOUSE MOTION events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def on_mouse_motion(self, x, y, dx, dy):
self.process.onMouseMotionEvent(x, y, dx, dy)
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# MOUSE BUTTON PRESSED events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def on_mouse_press(self, x, y, button, modifiers):
self.process.onMouseButtonEvent(x, y, button, True)
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
# MOUSE BUTTON RELEASED events
# @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
def on_mouse_release(self, x, y, button, modifiers):
self.process.onMouseButtonEvent(x, y, button, False)
def create_process(self, args, **kwargs):
self.trace(' running: {}'.format(' '.join(args)))
return Process(args, **kwargs)
def __init__(self, env, id, config, nreq):
Process.__init__(self, env, id)
self.config = config
self.nreq = nreq
self.env.addProc(self)
def __init__(self, env, id, verbose):
Process.__init__(self, env, id)
self.ballot_number = None
self.verbose = verbose
self.accepted = set()
self.env.addProc(self)
from process import Process
import random
no_of_process = 8
processes = []
head = None
# Create the processes
for i in range(no_of_process):
# Get a random sleep time before checking whether i have the token
sleep_time = round(random.uniform(0, 3), 2)
p = Process(i, f'process {i}', sleep_time)
processes.append(p)
# Assign neighbours to the processes
for idx, process in enumerate(processes):
if idx == 0:
head = process
if idx == (no_of_process - 1):
process.neighbour = head
else:
process.neighbour = processes[idx + 1]
# Confirm that the ring is correct
print('Process confirmation: ... \n')
for process in processes:
print(f"{process.name} -> neighbour: {process.neighbour.name}")
from process import Process
from save import Save
from extract import Extract
if __name__ == "__main__":
url = 'http://books.toscrape.com/index.html'
extractMainPage = Extract(url)
extractMainPage.get_soup()
mainPageProcess = Process(extractMainPage.soup)
for counter, category in enumerate(
mainPageProcess.soup_PagePrincipal_process()):
list_of_book = []
category_extract = Extract(category)
category_extract.get_soup()
category_process = Process(category_extract.soup)
for page in range(1, category_process.number_of_page() + 1):
if page == 1:
page_extract = Extract(f"{category_extract.url}index.html")
else:
page_extract = Extract(
f"{category_extract.url}page-{str(page)}.html")
page_extract.get_soup()
category_process = Process(page_extract.soup)
def add_process(self, process_name: str) -> None:
process = Process(process_name)
file_manager.append_binary_file(self.PROCESSES_FILE, process)
self.inactive_processes.append(process)
def main():
if len(sys.argv) < 3:
usage()
sys.exit(2)
diagram = ClassDiagram()
classes = []
messageAssociations = []
tasks = []
for i in range(2, len(sys.argv)):
process = Process(sys.argv[i])
classes += list(process.data_stores.values()) + list(
process.data_objects.values()) + list(
process.participants.values())
messageAssociations += list(process.messages.values())
tasks += list(process.tasks.values())
class_diagram_classes = {}
for obj in classes:
if obj.name not in class_diagram_classes:
if hasattr(obj, 'pool'):
new_class = Class_Diagram_Class(obj.name, {obj._id},
obj.properties, obj.pool)
else:
new_class = Class_Diagram_Class(obj.name, {obj._id},
obj.properties, None)
class_diagram_classes[obj.name] = new_class
else:
class_diagram_classes[obj.name].ids.add(obj._id)
class_diagram_classes[obj.name].properties |= obj.properties
if hasattr(
obj,
'pool') and class_diagram_classes[obj.name].parent is None:
class_diagram_classes[obj.name].parent = obj.pool
diagram.classes = class_diagram_classes
for obj in messageAssociations:
# avoid having multiple Associations between the same two classes
message = set(
(obj.source if isinstance(obj.source, Participant) else
obj.source.participant, obj.target if isinstance(
obj.target, Participant) else obj.target.participant))
message = tuple(message)
if (message not in diagram.messageAssociations):
diagram.messageAssociations[message] = [obj.name]
else:
if obj.name not in diagram.messageAssociations[message]:
diagram.messageAssociations[message].append(obj.name)
for task in tasks:
inputs = task.data_in
outputs = task.data_out
associatedData = inputs + outputs
if associatedData:
for do in inputs:
dataReadAssociation = set((task.participant.name, do.name))
if (dataReadAssociation in diagram.dataWriteAssociations):
diagram.dataReadWriteAssociations.append(
dataReadAssociation)
diagram.dataWriteAssociations.remove(dataReadAssociation)
elif (diagram.association_not_included(dataReadAssociation)):
diagram.dataReadAssociations.append(dataReadAssociation)
for do in outputs:
dataWriteAssociation = set((task.participant.name, do.name))
if (dataWriteAssociation in diagram.dataReadAssociations):
diagram.dataReadWriteAssociations.append(
dataWriteAssociation)
diagram.dataReadAssociations.remove(dataWriteAssociation)
elif (diagram.association_not_included(dataWriteAssociation)):
diagram.dataWriteAssociations.append(dataWriteAssociation)
if inputs and outputs:
for do_in in inputs:
for do_out in outputs:
if do_in.name != do_out.name:
data_association = set((do_in, do_out))
diagram.data_associations.append(data_association)
dot2png(diagram.as_dot(), replace_extension(sys.argv[1], "png"))
from process import Process
import random
processes = []
cid = 7 # Coordinator ID
coordinator = None # Variable to store the coordinator for convinience
# Create the 8 processes and store them into array
for i in range(8):
# Get a random wait time before checking whether the coordinator is still up
wait_time = round(random.uniform(0, 3), 2)
processes.append(Process(i, f'process{i}', wait_time))
# Start the process and link it to all other classes.
for idx, process in enumerate(processes):
# Link the processes here because the class attribute is shared across instances of the class
process.neighbours.append(process)
# Initialize original coordinator
if idx == cid:
process.coordinator['obj'] = process
coordinator = process
for idx, process in enumerate(processes):
# Start process once everything is setup
process.start()
print('\n')
# Stop the coordinator to trigger an election
