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734,"def action(*args, **kwargs):
""""""Transforms functions or class methods into actions.
Optionnaly, you can define a function to be used as the view initializer:
@action()
def my_action():
pass
@my_action.init_view
def my_action_init_view(view, options):
pass
""""""
def decorator(f):
return ActionFunction(f, *args, **kwargs)
return decorator"
735,"def with_actions(actions_or_group_name, actions=None):
""""""Executes the list of actions before/after the function
Actions should be a list where items are action names as
strings or a dict. See frasco.actions.loaders.load_action().
""""""
group = None
if isinstance(actions_or_group_name, str):
group = actions_or_group_name
else:
actions = actions_or_group_name
def decorator(f):
if isinstance(f, WithActionsDecorator):
dec = f
else:
dec = WithActionsDecorator(f)
dec.actions.extend(load_actions(actions, group=group))
return dec
return decorator"
736,"def expose(rule, **options):
""""""Decorator to add an url rule to a function
""""""
def decorator(f):
if not hasattr(f, ""urls""):
f.urls = []
if isinstance(rule, (list, tuple)):
f.urls.extend(rule)
else:
f.urls.append((rule, options))
return f
return decorator"
737,"def plot_channel_sweep(proxy, start_channel):
'''
Parameters
----------
proxy : DMFControlBoard
start_channel : int
Channel number from which to start a channel sweep (should be a
multiple of 40, e.g., 0, 40, 80).
Returns
-------
pandas.DataFrame
See description of return of :func:`sweep_channels`.
'''
test_loads = TEST_LOADS.copy()
test_loads.index += start_channel
results = sweep_channels(proxy, test_loads)
normalized_measurements = (results['measured capacitance']
/ results['expected capacitance'])
fig, axis = plt.subplots(figsize=(10, 8))
axis.bar(normalized_measurements.index - 0.3, normalized_measurements,
width=0.6, edgecolor='none', facecolor='limegreen')
axis.set_xlim(left=test_loads.index.min() - 0.5,
right=test_loads.index.max() + 0.5)
axis.set_xlabel('channel')
axis.set_ylabel(r'$\frac{C_{\tt{measured}}}{C_{\tt{expected}}}$',
fontsize=28)
return results"
738,"def _create_unicode_map():
""""""
Create the inverse map from unicode to betacode.
Returns:
The hash map to convert unicode characters to the beta code representation.
""""""
unicode_map = {}
for beta, uni in _map.BETACODE_MAP.items():
# Include decomposed equivalent where necessary.
norm = unicodedata.normalize('NFC', uni)
unicode_map[norm] = beta
unicode_map[uni] = beta
# Add the final sigmas.
final_sigma_norm = unicodedata.normalize('NFC', _FINAL_LC_SIGMA)
unicode_map[final_sigma_norm] = 's'
unicode_map[_FINAL_LC_SIGMA] = 's'
return unicode_map"
739,"def _create_conversion_trie(strict):
""""""
Create the trie for betacode conversion.
Args: