mirror of
https://github.com/iperov/DeepFaceLab.git
synced 2025-07-06 04:52:13 -07:00
Removed the wait at first launch for most graphics cards. Increased speed of training by 10-20%, but you have to retrain all models from scratch. SAEHD: added option 'use float16' Experimental option. Reduces the model size by half. Increases the speed of training. Decreases the accuracy of the model. The model may collapse or not train. Model may not learn the mask in large resolutions. true_face_training option is replaced by "True face power". 0.0000 .. 1.0 Experimental option. Discriminates the result face to be more like the src face. Higher value - stronger discrimination. Comparison - https://i.imgur.com/czScS9q.png
305 lines
11 KiB
Python
305 lines
11 KiB
Python
import traceback
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import multiprocessing
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import time
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import sys
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from core.interact import interact as io
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class Subprocessor(object):
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class SilenceException(Exception):
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pass
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class Cli(object):
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def __init__ ( self, client_dict ):
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s2c = multiprocessing.Queue()
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c2s = multiprocessing.Queue()
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self.p = multiprocessing.Process(target=self._subprocess_run, args=(client_dict,s2c,c2s) )
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self.s2c = s2c
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self.c2s = c2s
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self.p.daemon = True
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self.p.start()
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self.state = None
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self.sent_time = None
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self.sent_data = None
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self.name = None
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self.host_dict = None
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def kill(self):
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self.p.terminate()
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self.p.join()
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#overridable optional
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def on_initialize(self, client_dict):
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#initialize your subprocess here using client_dict
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pass
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#overridable optional
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def on_finalize(self):
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#finalize your subprocess here
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pass
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#overridable
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def process_data(self, data):
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#process 'data' given from host and return result
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raise NotImplementedError
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#overridable optional
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def get_data_name (self, data):
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#return string identificator of your 'data'
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return "undefined"
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def log_info(self, msg): self.c2s.put ( {'op': 'log_info', 'msg':msg } )
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def log_err(self, msg): self.c2s.put ( {'op': 'log_err' , 'msg':msg } )
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def progress_bar_inc(self, c): self.c2s.put ( {'op': 'progress_bar_inc' , 'c':c } )
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def _subprocess_run(self, client_dict, s2c, c2s):
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self.s2c = s2c
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self.c2s = c2s
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data = None
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try:
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self.on_initialize(client_dict)
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c2s.put ( {'op': 'init_ok'} )
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while True:
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msg = s2c.get()
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op = msg.get('op','')
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if op == 'data':
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data = msg['data']
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result = self.process_data (data)
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c2s.put ( {'op': 'success', 'data' : data, 'result' : result} )
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data = None
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elif op == 'close':
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break
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time.sleep(0.001)
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self.on_finalize()
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c2s.put ( {'op': 'finalized'} )
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return
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except Subprocessor.SilenceException as e:
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pass
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except Exception as e:
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if data is not None:
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print ('Exception while process data [%s]: %s' % (self.get_data_name(data), traceback.format_exc()) )
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else:
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print ('Exception: %s' % (traceback.format_exc()) )
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c2s.put ( {'op': 'error', 'data' : data} )
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# disable pickling
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def __getstate__(self):
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return dict()
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def __setstate__(self, d):
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self.__dict__.update(d)
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#overridable
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def __init__(self, name, SubprocessorCli_class, no_response_time_sec = 0, io_loop_sleep_time=0.005, initialize_subprocesses_in_serial=False):
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if not issubclass(SubprocessorCli_class, Subprocessor.Cli):
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raise ValueError("SubprocessorCli_class must be subclass of Subprocessor.Cli")
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self.name = name
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self.SubprocessorCli_class = SubprocessorCli_class
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self.no_response_time_sec = no_response_time_sec
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self.io_loop_sleep_time = io_loop_sleep_time
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self.initialize_subprocesses_in_serial = initialize_subprocesses_in_serial
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#overridable
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def process_info_generator(self):
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#yield per process (name, host_dict, client_dict)
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raise NotImplementedError
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#overridable optional
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def on_clients_initialized(self):
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#logic when all subprocesses initialized and ready
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pass
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#overridable optional
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def on_clients_finalized(self):
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#logic when all subprocess finalized
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pass
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#overridable
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def get_data(self, host_dict):
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#return data for processing here
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raise NotImplementedError
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#overridable
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def on_data_return (self, host_dict, data):
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#you have to place returned 'data' back to your queue
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raise NotImplementedError
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#overridable
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def on_result (self, host_dict, data, result):
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#your logic what to do with 'result' of 'data'
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raise NotImplementedError
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#overridable
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def get_result(self):
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#return result that will be returned in func run()
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return None
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#overridable
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def on_tick(self):
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#tick in main loop
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#return True if system can be finalized when no data in get_data, orelse False
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return True
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#overridable
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def on_check_run(self):
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return True
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def run(self):
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if not self.on_check_run():
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return self.get_result()
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self.clis = []
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#getting info about name of subprocesses, host and client dicts, and spawning them
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for name, host_dict, client_dict in self.process_info_generator():
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try:
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cli = self.SubprocessorCli_class(client_dict)
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cli.state = 1
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cli.sent_time = 0
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cli.sent_data = None
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cli.name = name
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cli.host_dict = host_dict
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self.clis.append (cli)
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if self.initialize_subprocesses_in_serial:
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while True:
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while not cli.c2s.empty():
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obj = cli.c2s.get()
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op = obj.get('op','')
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if op == 'init_ok':
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cli.state = 0
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elif op == 'log_info':
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io.log_info(obj['msg'])
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elif op == 'log_err':
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io.log_err(obj['msg'])
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elif op == 'error':
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cli.kill()
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self.clis.remove(cli)
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break
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if cli.state == 0:
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break
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io.process_messages(0.005)
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except:
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raise Exception (f"Unable to start subprocess {name}. Error: {traceback.format_exc()}")
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if len(self.clis) == 0:
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raise Exception ("Unable to start Subprocessor '%s' " % (self.name))
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#waiting subprocesses their success(or not) initialization
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while True:
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for cli in self.clis[:]:
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while not cli.c2s.empty():
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obj = cli.c2s.get()
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op = obj.get('op','')
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if op == 'init_ok':
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cli.state = 0
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elif op == 'log_info':
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io.log_info(obj['msg'])
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elif op == 'log_err':
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io.log_err(obj['msg'])
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elif op == 'error':
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cli.kill()
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self.clis.remove(cli)
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break
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if all ([cli.state == 0 for cli in self.clis]):
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break
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io.process_messages(0.005)
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if len(self.clis) == 0:
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raise Exception ( "Unable to start subprocesses." )
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#ok some processes survived, initialize host logic
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self.on_clients_initialized()
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#main loop of data processing
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while True:
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for cli in self.clis[:]:
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while not cli.c2s.empty():
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obj = cli.c2s.get()
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op = obj.get('op','')
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if op == 'success':
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#success processed data, return data and result to on_result
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self.on_result (cli.host_dict, obj['data'], obj['result'])
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self.sent_data = None
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cli.state = 0
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elif op == 'error':
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#some error occured while process data, returning chunk to on_data_return
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if 'data' in obj.keys():
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self.on_data_return (cli.host_dict, obj['data'] )
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#and killing process
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cli.kill()
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self.clis.remove(cli)
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elif op == 'log_info':
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io.log_info(obj['msg'])
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elif op == 'log_err':
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io.log_err(obj['msg'])
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elif op == 'progress_bar_inc':
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io.progress_bar_inc(obj['c'])
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for cli in self.clis[:]:
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if cli.state == 1:
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if cli.sent_time != 0 and self.no_response_time_sec != 0 and (time.time() - cli.sent_time) > self.no_response_time_sec:
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#subprocess busy too long
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print ( '%s doesnt response, terminating it.' % (cli.name) )
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self.on_data_return (cli.host_dict, cli.sent_data )
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cli.kill()
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self.clis.remove(cli)
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for cli in self.clis[:]:
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if cli.state == 0:
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#free state of subprocess, get some data from get_data
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data = self.get_data(cli.host_dict)
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if data is not None:
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#and send it to subprocess
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cli.s2c.put ( {'op': 'data', 'data' : data} )
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cli.sent_time = time.time()
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cli.sent_data = data
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cli.state = 1
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if self.io_loop_sleep_time != 0:
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io.process_messages(self.io_loop_sleep_time)
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if self.on_tick() and all ([cli.state == 0 for cli in self.clis]):
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#all subprocesses free and no more data available to process, ending loop
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break
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#gracefully terminating subprocesses
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for cli in self.clis[:]:
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cli.s2c.put ( {'op': 'close'} )
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cli.sent_time = time.time()
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while True:
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for cli in self.clis[:]:
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terminate_it = False
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while not cli.c2s.empty():
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obj = cli.c2s.get()
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obj_op = obj['op']
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if obj_op == 'finalized':
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terminate_it = True
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break
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if self.no_response_time_sec != 0 and (time.time() - cli.sent_time) > self.no_response_time_sec:
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terminate_it = True
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if terminate_it:
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cli.state = 2
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cli.kill()
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if all ([cli.state == 2 for cli in self.clis]):
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break
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#finalizing host logic and return result
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self.on_clients_finalized()
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return self.get_result()
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