211 lines
4.8 KiB
Python
211 lines
4.8 KiB
Python
from datetime import timedelta
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from cadCAD.configuration import append_configs
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from cadCAD.configuration.utils import ep_time_step, config_sim
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# ToDo: Create member for past value
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class MyClassA:
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def __init__(self):
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self.class_id = None
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self.x = 0
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print(f"Instance of MyClass (mem_id {hex(id(self))}) created with value {self.x}")
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def update(self):
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# self.past = copy(self)
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self.x += 1
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print(f"Instance of MyClass (mem_id {hex(id(self))}) has been updated, has now value {self.x}")
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return self.x #self #old_self #self.x
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def getMemID(self):
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return str(hex(id(self)))
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# can be accessed after an update within the same substep and timestep
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# ToDo: id sensitive to lineage, rerepresent
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def __str__(self):
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# return str(self.x)
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return f"{hex(id(self))} - {self.x}"
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class MyClassB:
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def __init__(self):
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self.class_id = None
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self.x = 5
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print(f"Instance of MyClass (mem_id {hex(id(self))}) created with value {self.x}")
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def update(self):
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# self.past = copy(self)
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self.x += 1
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print(f"Instance of MyClass (mem_id {hex(id(self))}) has been updated, has now value {self.x}")
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return self.x #self #old_self #self.x
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def getMemID(self):
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return str(hex(id(self)))
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# can be accessed after an update within the same substep and timestep
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# ToDo: id sensitive to lineage, rerepresent
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def __str__(self):
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# return str(self.x)
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return f"{hex(id(self))} - {self.x}"
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# a is Correct, and classX's value is Incorrect
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# Expected: a == classX's value
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# b should be tracking classX's value and a:
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# b should be the same value as the previous classX value and the previous a value
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# https://pymotw.com/2/multiprocessing/communication.html
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udcA = MyClassA()
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udcB = MyClassB()
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# z = MyClass()
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# pointer(z)
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# separate thread/process for UCD with async calls to this thread/process
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# genesis state
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# udc_json = {'udc': udc, 'udc-1': udc}
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state_dict = {
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'ca': 0,
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'cb': udcA.x,
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'cblassX': udcA,
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'cc': udcA.x,
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'cz': udcA.x,
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'da': 5,
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'db': udcB.x,
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'dblassX': udcB,
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'dc': udcB.x,
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'dz': udcB.x,
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'timestamp': '2019-01-01 00:00:00'
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}
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timestep_duration = timedelta(minutes=1) # In this example, a timestep has a duration of 1 minute.
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ts_format = '%Y-%m-%d %H:%M:%S'
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def time_model(_g, step, sL, s, _input):
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y = 'timestamp'
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x = ep_time_step(s, dt_str=s['timestamp'], fromat_str=ts_format, _timedelta=timestep_duration)
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return (y, x)
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def CBlassX(_g, step, sL, s, _input):
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y = 'cblassX'
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# x = s['cblassX']
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x = _g['cblassX']
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return (y, x)
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def DBlassX(_g, step, sL, s, _input):
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y = 'dblassX'
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# x = s['dblassX']
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x = _g['dblassX']
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return (y, x)
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def CA(_g, step, sL, s, _input):
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y = 'ca'
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x = s['ca'] + 1
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return (y, x)
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def DA(_g, step, sL, s, _input):
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y = 'da'
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x = s['da'] + 1
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return (y, x)
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def CB(_g, step, sL, s, _input):
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y = 'cb'
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x = _g['cblassX'].x
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# x = s['cblassX'].x
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return (y, x)
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def DB(_g, step, sL, s, _input):
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y = 'db'
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x = _g['dblassX'].x
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# x = s['dblassX'].x
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return (y, x)
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def CC(_g, step, sL, s, _input):
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y = 'cc'
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# x = s['cblassX'].update()
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x = _g['cblassX'].update()
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return (y, x)
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def DC(_g, step, sL, s, _input):
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# s['dblassX'] = _g['dblassX'].update()
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y = 'dc'
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# x = s['dblassX'].update()
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x = _g['dblassX'].update()
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return (y, x)
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def CZ(_g, step, sL, s, _input):
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y = 'cz'
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x = _g['cblassX'].x
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# x = s['cblassX'].x
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return (y, x)
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def DZ(_g, step, sL, s, _input):
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y = 'dz'
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x = _g['dblassX'].x
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# x = s['dblassX'].x
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return (y, x)
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partial_state_update_blocks = {
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'PSUB1': {
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'behaviors': {
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},
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'states': {
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'ca': CA,
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'cb': CB,
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'cblassX': CBlassX,
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'cc': CC,
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'cz': CZ,
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'da': DA,
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'db': DB,
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'dblassX': DBlassX,
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'dc': DC,
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'dz': DZ,
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'timestamp': time_model,
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}
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},
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'PSUB2': {
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'behaviors': {
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},
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'states': {
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'ca': CA,
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'cb': CB,
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'cblassX': CBlassX,
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'cc': CC,
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'cz': CZ,
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'da': DA,
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'db': DB,
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'dblassX': DBlassX,
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'dc': DC,
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'dz': DZ,
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}
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},
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'PSUB3': {
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'behaviors': {
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},
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'states': {
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'ca': CA,
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'cb': CB,
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'cblassX': CBlassX,
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'cc': CC,
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'cz': CZ,
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'da': DA,
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'db': DB,
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'dblassX': DBlassX,
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'dc': DC,
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'dz': DZ,
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}
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}
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}
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sim_config = config_sim({
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"N": 2,
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"T": range(4)
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})
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append_configs(sim_config, state_dict, {}, {}, {}, partial_state_update_blocks)
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