本文整理汇总了Python中sfepy.solvers.solvers.make_get_conf函数的典型用法代码示例。如果您正苦于以下问题：Python make_get_conf函数的具体用法？Python make_get_conf怎么用？Python make_get_conf使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了make_get_conf函数的10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，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values.
Example configuration, all items::
solver_1 = {
'name' : 'ls',
'kind' : 'ls.petsc_parallel',
'log_dir' : '.', # Store logs here.
'n_proc' : 5, # Number of processes to run.
'method' : 'cg', # ksp_type
'precond' : 'bjacobi', # pc_type
'sub_precond' : 'icc', # sub_pc_type
'eps_a' : 1e-12, # abstol
'eps_r' : 1e-12, # rtol
'eps_d' : 1e5, # divtol
'i_max' : 1000, # maxits
}
"""
get = make_get_conf(conf, kwargs)
common = PETScKrylovSolver.process_conf(conf, kwargs)
return Struct(log_dir=get('log_dir', '.'),
n_proc=get('n_proc', 1),
sub_precond=get('sub_precond', 'icc')) + common
开发者ID:LeiDai，项目名称:sfepy，代码行数:28，代码来源:ls.py
示例2: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values.
Example configuration, all items::
solver_1100 = {
'name' : 'dls1100',
'kind' : 'ls.scipy_direct',
'method' : 'superlu',
'presolve' : False,
'warn' : True,
}
"""
get = make_get_conf(conf, kwargs)
common = LinearSolver.process_conf(conf)
return (
Struct(
method=get("method", "auto"),
presolve=get("presolve", False),
warn=get("warn", True),
i_max=None,
eps_a=None,
eps_r=None,
)
+ common
)
开发者ID:ZJLi2013，项目名称:sfepy，代码行数:29，代码来源:ls.py
示例3: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values.
Example configuration, all items::
solver_2 = {
'name' : 'eigen1',
'kind' : 'eig.pysparse',
'i_max' : 150,
'eps_a' : 1e-5,
'tau' : -10.0,
'method' : 'qmrs',
'verbosity' : 0,
'strategy' : 1,
}
"""
get = make_get_conf(conf, kwargs)
common = EigenvalueSolver.process_conf(conf)
return Struct(i_max=get('i_max', 100),
eps_a=get('eps_a', 1e-5),
tau=get('tau', 0.0),
method=get('method', 'qmrs'),
verbosity=get('verbosity', 0),
strategy=get('strategy', 1)) + common
开发者ID:renatocoutinho，项目名称:sfepy，代码行数:27，代码来源:eigen.py
示例4: process_conf
def process_conf(conf, kwargs):
"""
Missing items are left to scipy defaults. Unused options are ignored.
Example configuration, all items::
solver_1 = {
'name' : 'broyden',
'kind' : 'nls.scipy_broyden_like',
'method' : 'broyden3',
'i_max' : 10,
'alpha' : 0.9,
'M' : 5,
'w0' : 0.1,
'verbose' : True,
}
"""
get = make_get_conf(conf, kwargs)
common = NonlinearSolver.process_conf(conf)
return Struct(method=get('method', 'broyden3'),
i_max=get('i_max', 10),
alpha=get('alpha', 0.9),
M=get('M', 5),
w0=get('w0', 0.1),
verbose=get('verbose', False)) + common
开发者ID:mikegraham，项目名称:sfepy，代码行数:27，代码来源:nls.py
示例5: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values.
Example configuration, all items::
solver_1 = {
'name' : 'oseen',
'kind' : 'nls.oseen',
'needs_problem_instance' : True,
'stabil_mat' : 'stabil',
'adimensionalize' : False,
'check_navier_stokes_rezidual' : False,
'i_max' : 10,
'eps_a' : 1e-8,
'eps_r' : 1.0,
'macheps' : 1e-16,
'lin_red' : 1e-2, # Linear system error < (eps_a * lin_red).
'log' : {'text' : 'oseen_log.txt',
'plot' : 'oseen_log.png'},
}
"""
get = make_get_conf(conf, kwargs)
common = NonlinearSolver.process_conf(conf)
# Compulsory.
needs_problem_instance = get('needs_problem_instance', True)
if not needs_problem_instance:
msg = 'set solver option "needs_problem_instance" to True!'
raise ValueError(msg)
stabil_mat = get('stabil_mat', None, 'missing "stabil_mat" in options!')
# With defaults.
adimensionalize = get('adimensionalize', False)
if adimensionalize:
raise NotImplementedError
check = get('check_navier_stokes_rezidual', False)
log = get_logging_conf(conf)
log = Struct(name='log_conf', **log)
is_any_log = (log.text is not None) or (log.plot is not None)
return Struct(needs_problem_instance=needs_problem_instance,
stabil_mat=stabil_mat,
adimensionalize=adimensionalize,
check_navier_stokes_rezidual=check,
i_max=get('i_max', 1),
eps_a=get('eps_a', 1e-10),
eps_r=get('eps_r', 1.0),
macheps=get('macheps', nm.finfo(nm.float64).eps),
lin_red=get('lin_red', 1.0),
lin_precision=get('lin_precision', None),
log=log,
is_any_log=is_any_log) + common
开发者ID:andy-c-huang，项目名称:sfepy，代码行数:59，代码来源:oseen.py
示例6: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values for a linear problem.
Example configuration, all items::
solver_1 = {
'name' : 'newton',
'kind' : 'nls.newton',
'i_max' : 2,
'eps_a' : 1e-8,
'eps_r' : 1e-2,
'macheps' : 1e-16,
'lin_red' : 1e-2, # Linear system error < (eps_a * lin_red).
'lin_precision' : None,
'ls_red' : 0.1,
'ls_red_warp' : 0.001,
'ls_on' : 0.99999,
'ls_min' : 1e-5,
'give_up_warp' : False,
'check' : 0,
'delta' : 1e-6,
'is_plot' : False,
'log' : None, # 'nonlinear' or 'linear' (ignore i_max)
'problem' : 'nonlinear',
}
"""
get = make_get_conf(conf, kwargs)
common = NonlinearSolver.process_conf(conf)
log = get_logging_conf(conf)
log = Struct(name="log_conf", **log)
is_any_log = (log.text is not None) or (log.plot is not None)
return (
Struct(
i_max=get("i_max", 1),
eps_a=get("eps_a", 1e-10),
eps_r=get("eps_r", 1.0),
macheps=get("macheps", nm.finfo(nm.float64).eps),
lin_red=get("lin_red", 1.0),
lin_precision=get("lin_precision", None),
ls_red=get("ls_red", 0.1),
ls_red_warp=get("ls_red_warp", 0.001),
ls_on=get("ls_on", 0.99999),
ls_min=get("ls_min", 1e-5),
give_up_warp=get("give_up_warp", False),
check=get("check", 0),
delta=get("delta", 1e-6),
is_plot=get("is_plot", False),
problem=get("problem", "nonlinear"),
log=log,
is_any_log=is_any_log,
)
+ common
)
开发者ID:taldcroft，项目名称:sfepy，代码行数:57，代码来源:nls.py
示例7: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values.
Example configuration, all items::
solver_0 = {
'name' : 'fmin_sd',
'kind' : 'opt.fmin_sd',
'i_max' : 10,
'eps_rd' : 1e-5, # Relative delta of objective function
'eps_of' : 1e-4,
'eps_ofg' : 1e-8,
'norm' : nm.Inf,
'ls' : True, # Linesearch.
'ls_method' : 'backtracking', # 'backtracking' or 'full'
'ls0' : 0.25,
'ls_red' : 0.5,
'ls_red_warp' : 0.1,
'ls_on' : 0.99999,
'ls_min' : 1e-5,
'check' : 0,
'delta' : 1e-6,
'output' : None, # 'itc'
'log' : {'text' : 'output/log.txt',
'plot' : 'output/log.png'},
'yscales' : ['linear', 'log', 'log', 'linear'],
}
"""
get = make_get_conf(conf, kwargs)
common = OptimizationSolver.process_conf(conf)
log = get_logging_conf(conf)
log = Struct(name='log_conf', **log)
is_any_log = (log.text is not None) or (log.plot is not None)
return Struct(i_max=get('i_max', 10),
eps_rd=get('eps_rd', 1e-5),
eps_of=get('eps_of', 1e-4),
eps_ofg=get('eps_ofg', 1e-8),
norm=get('norm', nm.Inf),
ls=get('ls', True),
ls_method=get('ls_method', 'backtracking'),
ls0=get('ls0', 0.25),
ls_red=get('ls_red', 0.5),
ls_red_warp=get('ls_red_warp', 0.1),
ls_on=get('ls_on', 0.99999),
ls_min=get('ls_min', 1e-5),
check=get('check', 0),
delta=get('delta', 1e-6),
output=get('output', None),
yscales=get('yscales',
['linear', 'log', 'log', 'linear']),
log=log,
is_any_log=is_any_log) + common
开发者ID:taldcroft，项目名称:sfepy，代码行数:56，代码来源:optimize.py
示例8: process_conf
def process_conf(conf, kwargs):
"""
Process configuration options.
"""
get = make_get_conf(conf, kwargs)
common = SimpleTimeSteppingSolver.process_conf(conf, kwargs)
return Struct(mass=get('mass', None,
'missing "mass" in options!'),
lumped=get('lumped', False)) + common
开发者ID:AshitaPrasad，项目名称:sfepy，代码行数:10，代码来源:ts_solvers.py
示例9: process_conf
def process_conf(conf, kwargs):
"""
Missing items are set to default values.
Example configuration, all items::
solver_1 = {
'name' : 'semismooth_newton',
'kind' : 'nls.semismooth_newton',
'semismooth' : True,
'i_max' : 10,
'eps_a' : 1e-8,
'eps_r' : 1e-2,
'macheps' : 1e-16,
'lin_red' : 1e-2, # Linear system error < (eps_a * lin_red).
'ls_red_reg' : 0.1,
'ls_red_alt' : 0.01,
'ls_red_warp' : 0.001,
'ls_on' : 0.9,
'ls_min' : 1e-10,
'log' : {'plot' : 'convergence.png'},
}
"""
get = make_get_conf(conf, kwargs)
common = NonlinearSolver.process_conf(conf)
log = get_logging_conf(conf)
log = Struct(name='log_conf', **log)
is_any_log = (log.text is not None) or (log.plot is not None)
return Struct(semismooth=get('semismooth', True),
i_max=get('i_max', 1),
eps_a=get('eps_a', 1e-10),
eps_r=get('eps_r', 1.0),
macheps=get('macheps', nm.finfo(nm.float64).eps),
lin_red=get('lin_red', 1.0),
ls_red=get('ls_red', 0.1),
ls_red_warp=get('ls_red_warp', 0.001),
ls_on=get('ls_on', 0.99999),
ls_min=get('ls_min', 1e-5),
log=log,
is_any_log=is_any_log) + common
开发者ID:AshitaPrasad，项目名称:sfepy，代码行数:44，代码来源:semismooth_newton.py
示例10: process_conf
def process_conf(conf, kwargs):
"""
Missing items are left to SciPy defaults. Unused options are ignored.
Besides 'i_max', use option names according to scipy.optimize
function arguments. The 'i_max' translates either to 'maxiter'
or 'maxfun' as available.
Example configuration::
solver_1 = {
'name' : 'fmin',
'kind' : 'nls.scipy_fmin_like',
'method' : 'bfgs',
'i_max' : 10,
'verbose' : True,
'gtol' : 1e-7
}
"""
get = make_get_conf(conf, kwargs)
common = OptimizationSolver.process_conf(conf)
opts = Struct(method=get('method', 'fmin'),
i_max=get('i_max', 10),
verbose=get('verbose', False)) + common
other = {}
keys = opts.to_dict().keys()
for key, val in conf.to_dict().iteritems():
if key not in keys:
other[key] = val
return opts + Struct(**other)
开发者ID:renatocoutinho，项目名称:sfepy，代码行数:36，代码来源:optimize.py
注：本文中的sfepy.solvers.solvers.make_get_conf函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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