def load(filename):
"""
Load an experiment from disk.
Parameters
----------
filename : str
Path to a file generated by |Experiment.save|.
Returns
-------
|Experiment|
"""
with open(filename, 'r') as f:
self = yaml.load(f)
self.filename = filename
return self
def load(filename):
"""
Load an experiment from disk.
Parameters
----------
filename : str
Path to a file generated by |Experiment.save|.
Returns
-------
|Experiment|
"""
with open(filename, 'r') as f:
self = yaml.load(f)
self.filename = filename
return self
def from_yaml_file(cls, filename):
"""
Construct an |Experiment| based on specification in a YAML file.
Requires `PyYAML`_.
Parameters
----------
filename : str
YAML file location.
The YAML should specify a dictionary matching the specification of |Experiment.from_dict|.
Returns
-------
|Experiment|
"""
if not yaml:
raise ImportError('PyYAML is not installed')
with open(filename, 'r') as f:
spec = yaml.load(f)
return cls.from_dict(spec)
def from_yaml_file(cls, filename):
"""
Construct an |Experiment| based on specification in a YAML file.
Requires `PyYAML`_.
Parameters
----------
filename : str
YAML file location.
The YAML should specify a dictionary matching the specification of |Experiment.from_dict|.
Returns
-------
|Experiment|
"""
if not yaml:
raise ImportError('PyYAML is not installed')
with open(filename, 'r') as f:
spec = yaml.load(f)
return cls.from_dict(spec)
def test_round_trip(data):
cmp = yaml.load(yaml.dump(data)) == data
if isinstance(cmp, np.ndarray):
assert np.all(cmp)
else:
assert cmp
def test_round_trip(data):
cmp = yaml.load(yaml.dump(data)) == data
if isinstance(cmp, np.ndarray):
assert np.all(cmp)
else:
assert cmp