2019-02-12 18:56:05 +01:00
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import json
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import pickle
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2019-02-13 12:53:17 +01:00
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from typing import List
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2019-02-12 18:56:05 +01:00
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2019-03-04 19:33:16 +01:00
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import numpy as np
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2019-02-12 18:56:05 +01:00
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from simulation import Simulation
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class SimulationList:
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2019-02-13 12:53:17 +01:00
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simlist: List[Simulation]
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2019-02-12 18:56:05 +01:00
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def __init__(self, simlist: list = None):
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if simlist is None:
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self.simlist = []
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else:
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self.simlist = simlist
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def append(self, value: Simulation):
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self.simlist.append(value)
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def pickle_save(self, filebasename="save"):
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with open(f'{filebasename}.pickle', 'wb') as file:
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pickle.dump(self.simlist, file)
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@classmethod
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def pickle_load(cls, filebasename="save"):
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with open(f'{filebasename}.pickle', 'rb') as file:
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return cls(pickle.load(file))
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def jsonlines_save(self, filebasename="save"):
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with open(f'{filebasename}.jsonl', 'w') as file:
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for sim in self.simlist:
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file.write(json.dumps(vars(sim)) + "\n")
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@classmethod
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def jsonlines_load(cls, filebasename="save"):
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simlist = cls()
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with open(f'{filebasename}.jsonl', 'r') as file:
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for line in file:
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sim = Simulation.from_dict(json.loads(line))
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simlist.append(sim)
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return simlist
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2019-03-04 19:33:16 +01:00
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@property
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def as_matrix(self):
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entrylist = []
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for sim in self.simlist:
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2019-08-01 13:06:46 +02:00
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if not sim.testcase:
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2019-07-06 15:50:16 +02:00
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entrylist.append(
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2019-08-01 13:06:46 +02:00
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[sim.alpha, sim.v, sim.projectile_mass, sim.gamma, sim.target_water_fraction,
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sim.projectile_water_fraction, sim.water_retention_both]
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2019-07-06 15:50:16 +02:00
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)
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2019-03-04 19:33:16 +01:00
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return np.asarray(entrylist)
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2019-05-02 15:30:17 +02:00
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@property
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def X(self):
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return np.array([
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2019-07-06 15:50:16 +02:00
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[s.alpha, s.v, s.projectile_mass, s.gamma, s.target_water_fraction, s.projectile_water_fraction]
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2019-07-29 14:23:22 +02:00
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for s in self.simlist if not s.testcase
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2019-05-02 15:30:17 +02:00
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])
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@property
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def Y(self):
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2019-07-29 14:23:22 +02:00
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return np.array([s.water_retention_both for s in self.simlist if not s.testcase])
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