def __call__(self, fixed=None, preset=None, fallback=None):
"""
Evaluate this ConfigScope.
This will evaluate the function body and fill the relevant local
variables into entries into keys in this dictionary.
:param fixed: Dictionary of entries that should stay fixed during the
evaluation. All of them will be part of the final config.
:type fixed: dict
:param preset: Dictionary of preset values that will be available
during the evaluation (if they are declared in the
function argument list). All of them will be part of the
final config.
:type preset: dict
:param fallback: Dictionary of fallback values that will be available
during the evaluation (if they are declared in the
function argument list). They will NOT be part of the
final config.
:type fallback: dict
:return: self
:rtype: ConfigScope
"""
cfg_locals = dogmatize(fixed or {})
fallback = fallback or {}
preset = preset or {}
fallback_view = {}
available_entries = set(preset.keys()) | set(fallback.keys())
for arg in self.arg_spec.args:
if arg not in available_entries:
raise KeyError("'{}' not in preset for ConfigScope. "
"Available options are: {}".format(
arg, available_entries))
if arg in preset:
cfg_locals[arg] = preset[arg]
else: # arg in fallback
fallback_view[arg] = fallback[arg]
cfg_locals.fallback = fallback_view
eval(self._body_code, copy(self._func.__globals__), cfg_locals)
added = cfg_locals.revelation()
config_summary = ConfigSummary(added,
cfg_locals.modified,
cfg_locals.typechanges,
cfg_locals.fallback_writes,
docs=self._var_docs)
# fill in the unused presets
recursive_fill_in(cfg_locals, preset)
for key, value in cfg_locals.items():
try:
config_summary[key] = normalize_or_die(value)
except ValueError:
pass
return config_summary
def __call__(self, fixed=None, preset=None, fallback=None):
"""
Evaluate this ConfigScope.
This will evaluate the function body and fill the relevant local
variables into entries into keys in this dictionary.
:param fixed: Dictionary of entries that should stay fixed during the
evaluation. All of them will be part of the final config.
:type fixed: dict
:param preset: Dictionary of preset values that will be available
during the evaluation (if they are declared in the
function argument list). All of them will be part of the
final config.
:type preset: dict
:param fallback: Dictionary of fallback values that will be available
during the evaluation (if they are declared in the
function argument list). They will NOT be part of the
final config.
:type fallback: dict
:return: self
:rtype: ConfigScope
"""
cfg_locals = dogmatize(fixed or {})
fallback = fallback or {}
preset = preset or {}
fallback_view = {}
available_entries = set(preset.keys()) | set(fallback.keys())
for arg in self.args:
if arg not in available_entries:
raise KeyError("'{}' not in preset for ConfigScope. "
"Available options are: {}"
.format(arg, available_entries))
if arg in preset:
cfg_locals[arg] = preset[arg]
else: # arg in fallback
fallback_view[arg] = fallback[arg]
cfg_locals.fallback = fallback_view
eval(self._body_code, copy(self._func.__globals__), cfg_locals)
added = cfg_locals.revelation()
config_summary = ConfigSummary(added, cfg_locals.modified,
cfg_locals.typechanges,
cfg_locals.fallback_writes,
docs=self._var_docs)
# fill in the unused presets
recursive_fill_in(cfg_locals, preset)
for key, value in cfg_locals.items():
try:
config_summary[key] = normalize_or_die(value)
except ValueError:
pass
return config_summary
def __init__(self, d):
self._conf = normalize_or_die(d)
def test_normalize_or_die_for_numpy_arrays(typename):
np = opt.np
dtype = getattr(np, typename)
a = np.array([0, 1, 2], dtype=dtype)
b = normalize_or_die(a)
assert len(b) == 3
def test_normalize_or_die_for_numpy_datatypes(typename):
dtype = getattr(opt.np, typename)
assert normalize_or_die(dtype(7.0))
def __init__(self, d):
super(ConfigDict, self).__init__()
self._conf = normalize_or_die(d)
def __init__(self, d):
super(ConfigDict, self).__init__()
self._conf = normalize_or_die(d)