本文整理汇总了Python中pycap.PropertyTree.put_string方法的典型用法代码示例。如果您正苦于以下问题:Python PropertyTree.put_string方法的具体用法?Python PropertyTree.put_string怎么用?Python PropertyTree.put_string使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycap.PropertyTree
的用法示例。
在下文中一共展示了PropertyTree.put_string方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_builders
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_builders(self):
for AbstractClass in [Observer, Observable]:
# AbstractClass takes a PropertyTree as argument.
self.assertRaises(TypeError, AbstractClass)
# The PropertyTree must specify what concrete class derived from
# AbstractClass to instantiate.
ptree = PropertyTree()
self.assertRaises(RuntimeError, AbstractClass, ptree)
# The derived concrete class must be registerd in the dictionary
# that holds the builders.
ptree.put_string('type', 'Invalid')
self.assertRaises(KeyError, AbstractClass, ptree)
# Now declare a concrete class.
class ConcreteClass(AbstractClass):
def __new__(cls, *args, **kwargs):
return object.__new__(ConcreteClass)
def __init__(*args, **kwargs):
pass
# Here is how to register a derived concrete class to the base abstract class.
AbstractClass._builders['ConcreteClass'] = ConcreteClass
# Now instantiation works.
ptree.put_string('type', 'ConcreteClass')
o = AbstractClass(ptree)
# Also can build directly from derived class.
o = ConcreteClass()
# Remove from the dictionary.
del AbstractClass._builders['ConcreteClass']
self.assertRaises(KeyError, AbstractClass, ptree)
示例2: testParallelRC
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def testParallelRC(self):
# make parallel RC equivalent circuit
device_database = PropertyTree()
device_database.put_string('type', 'ParallelRC')
device_database.put_double('series_resistance', R)
device_database.put_double('parallel_resistance', R_L)
device_database.put_double('capacitance', C)
device = EnergyStorageDevice(device_database, MPI.COMM_WORLD)
# setup experiment and measure
eis_database = setup_expertiment()
spectrum_data = measure_impedance_spectrum(device, eis_database)
# extract data
f = spectrum_data['frequency']
Z_computed = spectrum_data['impedance']
M_computed = 20*log10(absolute(Z_computed))
P_computed = angle(Z_computed)*180/pi
# compute the exact solution
Z_exact = R+R_L/(1+1j*R_L*C*2*pi*f)
M_exact = 20*log10(absolute(Z_exact))
P_exact = angle(Z_exact)*180/pi
# ensure the error is small
max_phase_error_in_degree = linalg.norm(P_computed-P_exact, inf)
max_magniture_error_in_decibel = linalg.norm(M_computed-M_exact, inf)
print('max_phase_error_in_degree = {0}'.format(max_phase_error_in_degree))
print('max_magniture_error_in_decibel = {0}'.format(max_magniture_error_in_decibel))
self.assertLessEqual(max_phase_error_in_degree, 1)
self.assertLessEqual(max_magniture_error_in_decibel, 0.2)
示例3: test_evolve_constant_voltage
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_evolve_constant_voltage(self):
ptree = PropertyTree()
ptree.put_string('mode', 'constant_voltage')
ptree.put_double('voltage', 2.1)
evolve_one_time_step = TimeEvolution.factory(ptree)
evolve_one_time_step(device, 0.1)
self.assertEqual(device.get_voltage(), 2.1)
示例4: test_evolve_constant_load
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_evolve_constant_load(self):
ptree = PropertyTree()
ptree.put_string('mode', 'constant_load')
ptree.put_double('load', 120)
evolve_one_time_step = TimeEvolution.factory(ptree)
evolve_one_time_step(device, 0.1)
self.assertAlmostEqual(device.get_voltage()/device.get_current(), -120)
示例5: test_evolve_constant_current
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_evolve_constant_current(self):
ptree = PropertyTree()
ptree.put_string('mode', 'constant_current')
ptree.put_double('current', 100e-3)
evolve_one_time_step = TimeEvolution.factory(ptree)
evolve_one_time_step(device, 0.1)
self.assertEqual(device.get_current(), 100e-3)
示例6: test_retrieve_data
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_retrieve_data(self):
ptree = PropertyTree()
ptree.put_string('type', 'SeriesRC')
ptree.put_double('series_resistance', 100e-3)
ptree.put_double('capacitance', 2.5)
device = EnergyStorageDevice(ptree)
ptree = PropertyTree()
ptree.put_string('type', 'ElectrochemicalImpedanceSpectroscopy')
ptree.put_double('frequency_upper_limit', 1e+2)
ptree.put_double('frequency_lower_limit', 1e-1)
ptree.put_int('steps_per_decade', 1)
ptree.put_int('steps_per_cycle', 64)
ptree.put_int('cycles', 2)
ptree.put_int('ignore_cycles', 1)
ptree.put_double('dc_voltage', 0)
ptree.put_string('harmonics', '3')
ptree.put_string('amplitudes', '5e-3')
ptree.put_string('phases', '0')
eis = Experiment(ptree)
with File('trash.hdf5', 'w') as fout:
eis.run(device, fout)
spectrum_data = eis._data
with File('trash.hdf5', 'r') as fin:
retrieved_data = retrieve_impedance_spectrum(fin)
print(spectrum_data['impedance'] - retrieved_data['impedance'])
print(retrieved_data)
self.assertEqual(linalg.norm(spectrum_data['frequency'] -
retrieved_data['frequency'], inf), 0.0)
# not sure why we don't get equality for the impedance
self.assertLess(linalg.norm(spectrum_data['impedance'] -
retrieved_data['impedance'], inf), 1e-10)
示例7: test_hold
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_hold(self):
ptree = PropertyTree()
ptree.put_string('mode', 'hold')
evolve_one_time_step = TimeEvolution.factory(ptree)
device.evolve_one_time_step_constant_voltage(0.1, 1.4)
evolve_one_time_step(device, 0.1)
self.assertEqual(device.get_voltage(), 1.4)
示例8: test_abstract_class
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_abstract_class(self):
# Declare a concrete Experiment
class DummyExperiment(Experiment):
def __new__(cls, *args, **kwargs):
return object.__new__(DummyExperiment)
def __init__(self, ptree):
Experiment.__init__(self)
# Do not forget to register it to the builders dictionary.
Observable._builders['Dummy'] = DummyExperiment
# Construct directly via DummyExperiment with a PropertyTree as a
# positional arguemnt
ptree = PropertyTree()
dummy = DummyExperiment(ptree)
# ... or directly via Experiment by specifying the ``type`` of
# Experiment.
ptree.put_string('type', 'Dummy')
dummy = Experiment(ptree)
# The method run() must be overloaded.
self.assertRaises(RuntimeError, dummy.run, None)
# Override the method run().
def run(self, device):
pass
DummyExperiment.run = run
# Now calling it without raising an error.
dummy.run(None)
示例9: testRetrieveData
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def testRetrieveData(self):
try:
from h5py import File
except ImportError:
print('module h5py not found')
return
device_database = PropertyTree()
device_database.put_string('type', 'SeriesRC')
device_database.put_double('series_resistance', R)
device_database.put_double('capacitance', C)
device = EnergyStorageDevice(device_database, MPI.COMM_WORLD)
eis_database = setup_expertiment()
eis_database.put_int('steps_per_decade', 1)
eis_database.put_int('steps_per_cycle', 64)
eis_database.put_int('cycles', 2)
eis_database.put_int('ignore_cycles', 1)
fout = File('trash.hdf5', 'w')
spectrum_data = measure_impedance_spectrum(device, eis_database, fout)
fout.close()
fin = File('trash.hdf5', 'r')
retrieved_data = retrieve_impedance_spectrum(fin)
fin.close()
print(spectrum_data['impedance']-retrieved_data['impedance'])
print(retrieved_data)
self.assertEqual(linalg.norm(spectrum_data['frequency'] -
retrieved_data['frequency'], inf), 0.0)
# not sure why we don't get equality for the impedance
self.assertLess(linalg.norm(spectrum_data['impedance'] -
retrieved_data['impedance'], inf), 1e-10)
示例10: test_time_limit
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_time_limit(self):
ptree = PropertyTree()
ptree.put_string('end_criterion', 'time')
ptree.put_double('duration', 15)
time_limit = EndCriterion.factory(ptree)
time_limit.reset(0.0, device)
self.assertFalse(time_limit.check(2.0, device))
self.assertTrue(time_limit.check(15.0, device))
self.assertTrue(time_limit.check(60.0, device))
示例11: test_verification_with_equivalent_circuit
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_verification_with_equivalent_circuit(self):
R = 50e-3 # ohm
R_L = 500 # ohm
C = 3 # farad
# setup EIS experiment
ptree = PropertyTree()
ptree.put_string('type', 'ElectrochemicalImpedanceSpectroscopy')
ptree.put_double('frequency_upper_limit', 1e+4)
ptree.put_double('frequency_lower_limit', 1e-6)
ptree.put_int('steps_per_decade', 3)
ptree.put_int('steps_per_cycle', 1024)
ptree.put_int('cycles', 2)
ptree.put_int('ignore_cycles', 1)
ptree.put_double('dc_voltage', 0)
ptree.put_string('harmonics', '3')
ptree.put_string('amplitudes', '5e-3')
ptree.put_string('phases', '0')
eis = Experiment(ptree)
# setup equivalent circuit database
device_database = PropertyTree()
device_database.put_double('series_resistance', R)
device_database.put_double('parallel_resistance', R_L)
device_database.put_double('capacitance', C)
# analytical solutions
Z = {}
Z['SeriesRC'] = lambda f: R + 1 / (1j * C * 2 * pi * f)
Z['ParallelRC'] = lambda f: R + R_L / (1 + 1j * R_L * C * 2 * pi * f)
for device_type in ['SeriesRC', 'ParallelRC']:
# create a device
device_database.put_string('type', device_type)
device = EnergyStorageDevice(device_database)
# setup experiment and measure
eis.reset()
eis.run(device)
f = eis._data['frequency']
Z_computed = eis._data['impedance']
# compute the exact solution
Z_exact = Z[device_type](f)
# ensure the error is small
max_phase_error_in_degree = linalg.norm(
angle(Z_computed) * 180 / pi - angle(Z_exact) * 180 / pi,
inf)
max_magniture_error_in_decibel = linalg.norm(
20 * log10(absolute(Z_exact)) - 20 *
log10(absolute(Z_computed)),
inf)
print(device_type)
print(
'-- max_phase_error_in_degree = {0}'.format(max_phase_error_in_degree))
print(
'-- max_magniture_error_in_decibel = {0}'.format(max_magniture_error_in_decibel))
self.assertLessEqual(max_phase_error_in_degree, 1)
self.assertLessEqual(max_magniture_error_in_decibel, 0.2)
示例12: test_verification_with_equivalent_circuit
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_verification_with_equivalent_circuit(self):
R = 50e-3 # ohm
R_L = 500 # ohm
C = 3 # farad
U_i = 2.7 # volt
U_f = 1.2 # volt
# setup experiment
ptree = PropertyTree()
ptree.put_double('discharge_power_lower_limit', 1e-2)
ptree.put_double('discharge_power_upper_limit', 1e+2)
ptree.put_int('steps_per_decade', 5)
ptree.put_double('initial_voltage', U_i)
ptree.put_double('final_voltage', U_f)
ptree.put_double('time_step', 15)
ptree.put_int('min_steps_per_discharge', 2000)
ptree.put_int('max_steps_per_discharge', 3000)
ragone = RagoneAnalysis(ptree)
# setup equivalent circuit database
device_database = PropertyTree()
device_database.put_double('series_resistance', R)
device_database.put_double('parallel_resistance', R_L)
device_database.put_double('capacitance', C)
# analytical solutions
E = {}
def E_SeriesRC(P):
U_0 = U_i / 2 + sqrt(U_i**2 / 4 - R * P)
return C / 2 * (-R * P * log(U_0**2 / U_f**2) + U_0**2 - U_f**2)
E['SeriesRC'] = E_SeriesRC
def E_ParallelRC(P):
U_0 = U_i / 2 + sqrt(U_i**2 / 4 - R * P)
tmp = (U_f**2 / R_L + P * (1 + R / R_L)) / \
(U_0**2 / R_L + P * (1 + R / R_L))
return C / 2 * (-R_L * P * log(tmp) - R * R_L / (R + R_L) * P * log(tmp * U_0**2 / U_f**2))
E['ParallelRC'] = E_ParallelRC
for device_type in ['SeriesRC', 'ParallelRC']:
# create a device
device_database.put_string('type', device_type)
device = EnergyStorageDevice(device_database)
# setup experiment and measure
ragone.reset()
ragone.run(device)
P = ragone._data['power']
E_computed = ragone._data['energy']
# compute the exact solution
E_exact = E[device_type](P)
# ensure the error is small
max_percent_error = 100 * linalg.norm(
(E_computed - E_exact) / E_computed,
inf)
self.assertLess(max_percent_error, 0.1)
示例13: test_consistency_pycap_simulation
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_consistency_pycap_simulation(self):
#
# weak run test; simply ensures that Dualfoil object
# can be run with pycap.Charge
#
df1 = Dualfoil(path=path) # will use pycap
df2 = Dualfoil(path=path) # manual runs
im = df_manip.InputManager(path=path)
# testing a charge-to-hold-const-voltage
# manual
# use InputManager to set the input file
c = -12.0 # constant current
im.add_new_leg(c, 5.0, 1)
df1.run()
df1.outbot.update_output()
v = 4.54 # constant voltage
im.add_new_leg(v, 5.0, 0)
df1.run()
df1.outbot.update_output()
# pycap simulation
# build a ptree input
ptree = PropertyTree()
ptree.put_double('time_step', 300.0) # 5 minutes
ptree.put_string('charge_mode', 'constant_current')
ptree.put_double('charge_current', 12.0)
ptree.put_string('charge_stop_at_1', 'voltage_greater_than')
ptree.put_double('charge_voltage_limit', 4.54)
ptree.put_bool('charge_voltage_finish', True)
# hold end voltage after either 5 minutes have passed
# OR current falls under 1 ampere
ptree.put_double('charge_voltage_finish_max_time', 300.0)
ptree.put_double('charge_voltage_finish_current_limit', 1.0)
const_current_const_voltage = Charge(ptree)
const_current_const_voltage.run(df2)
# check the output lists of both devices
o1 = df1.outbot.output
o2 = df2.outbot.output
self.assertEqual(len(o1['time']), len(o2['time']))
for i in range(len(o1['time'])):
self.assertAlmostEqual(o1['time'][i], o2['time'][i])
# BELOW: relaxed delta for voltage
# REASON: dualfoil cuts off its voltages at 5
# decimal places, meaning that this end-digit
# is subject to roundoff errors
error = 1e-5
self.assertAlmostEqual(o1['voltage'][i], o2['voltage'][i],
delta=error)
self.assertAlmostEqual(o1['current'][i], o2['current'][i])
示例14: test_force_discharge
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_force_discharge(self):
ptree = PropertyTree()
ptree.put_string('mode', 'constant_voltage')
ptree.put_double('voltage', 0.0)
ptree.put_string('end_criterion', 'current_less_than')
ptree.put_double('current_limit', 1e-5)
ptree.put_double('time_step', 1.0)
stage = Stage(ptree)
data = initialize_data()
steps = stage.run(device, data)
self.assertGreaterEqual(steps, 1)
self.assertEqual(steps, len(data['time']))
self.assertAlmostEqual(data['voltage'][-1], 0.0)
self.assertLessEqual(data['current'][-1], 1e-5)
示例15: test_constant_current_charge_for_given_time
# 需要导入模块: from pycap import PropertyTree [as 别名]
# 或者: from pycap.PropertyTree import put_string [as 别名]
def test_constant_current_charge_for_given_time(self):
ptree = PropertyTree()
ptree.put_string('mode', 'constant_current')
ptree.put_double('current', 5e-3)
ptree.put_string('end_criterion', 'time')
ptree.put_double('duration', 15.0)
ptree.put_double('time_step', 0.1)
stage = Stage(ptree)
data = initialize_data()
steps = stage.run(device, data)
self.assertEqual(steps, 150)
self.assertEqual(steps, len(data['time']))
self.assertAlmostEqual(data['time'][-1], 15.0)
self.assertAlmostEqual(data['current'][-1], 5e-3)