bbndb.auspex module¶

class bbndb.auspex.Average(**kwargs)[source]¶

Bases: bbndb.auspex.FilterProxy, bbndb.auspex.NodeMixin

Takes data and collapses along the specified axis. Threshold is used for state identification.

axis¶

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

node_type¶

qubit_name¶

threshold¶

class bbndb.auspex.Buffer(**kwargs)[source]¶

Bases: bbndb.auspex.OutputProxy, bbndb.auspex.NodeMixin

Saves data in a buffer

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

max_size¶

node_type¶

qubit_name¶

class bbndb.auspex.Connection(**kwargs)[source]¶

Bases: sqlalchemy.ext.declarative.api.Base

id¶

node1_id¶

node1_name¶

node2_id¶

node2_name¶

pipeline_name¶

time¶

class bbndb.auspex.Demodulate(**kwargs)[source]¶

Bases: bbndb.auspex.FilterProxy, bbndb.auspex.NodeMixin

Digital demodulation and filtering to select a signal at a particular frequency component. This filter does the following:

First stage decimating filter on data

Take product of result with with reference signal at demodulation frequency

Second stage decimating filter on result to boost n_bandwidth

Final channel selecting filter at n_bandwidth/2

If an axis name is supplied to follow_axis then the filter will demodulate at the freqency axis_frequency_value - follow_freq_offset otherwise it will demodulate at frequency. Note that the filter coefficients are still calculated with respect to the frequency paramter, so it should be chosen accordingly when follow_axis is defined.

bandwidth¶

connection_from¶

connection_to¶

decimation_factor¶

follow_axis¶

follow_freq_offset¶

frequency¶

hash_val¶

id¶

label¶

node_type¶

qubit_name¶

validate_bandwidth(key, value)[source]¶

validate_decimation_factor(key, value)[source]¶

validate_frequency(key, value)[source]¶

class bbndb.auspex.Display(**kwargs)[source]¶

Bases: bbndb.auspex.OutputProxy, bbndb.auspex.NodeMixin

Create a plot tab within the plotting interface.

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

node_type¶

plot_dims¶

plot_mode¶

qubit_name¶

validate_plot_dims(key, value)[source]¶

class bbndb.auspex.FidelityKernel(**kwargs)[source]¶

Bases: bbndb.auspex.FilterProxy, bbndb.auspex.NodeMixin

Calculates the single shot fidelity from given input

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

logistic_regression¶

node_type¶

optimal_integration_time¶

qubit_name¶

save_kernel¶

set_threshold¶

tolerance¶

zero_mean¶

class bbndb.auspex.FilterProxy(**kwargs)[source]¶

Bases: bbndb.auspex.NodeMixin, bbndb.auspex.NodeProxy

docstring for FilterProxy

add(filter_obj, connector_out='source', connector_in='sink')[source]¶

connection_from¶

connection_to¶

drop()[source]¶

hash_val¶

id¶

label¶

node_label()[source]¶

node_type¶

qubit_name¶

class bbndb.auspex.Framer(**kwargs)[source]¶

Bases: bbndb.auspex.FilterProxy, bbndb.auspex.NodeMixin

Emit out data in increments defined by the specified axis.

axis¶

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

node_type¶

qubit_name¶

class bbndb.auspex.Integrate(**kwargs)[source]¶

Bases: bbndb.auspex.FilterProxy, bbndb.auspex.NodeMixin

bias¶

box_car_start¶

box_car_stop¶

connection_from¶

connection_to¶

demod_frequency¶

hash_val¶

id¶: Integrate with a given kernel or using a simple boxcar. Kernel will be padded/truncated to match record length

kernel¶

label¶

node_type¶

qubit_name¶

simple_kernel¶

validate_box_car_start(key, value)[source]¶

validate_box_car_stop(key, value)[source]¶

class bbndb.auspex.NodeMixin[source]¶

Bases: object

id = Column(None, Integer(), ForeignKey('nodeproxy.id'), table=None, primary_key=True, nullable=False)¶

class bbndb.auspex.NodeProxy(**kwargs)[source]¶

Bases: sqlalchemy.ext.declarative.api.Base

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

node_type¶

print(show=True)[source]¶

qubit_name¶

class bbndb.auspex.OutputProxy(**kwargs)[source]¶

Bases: bbndb.auspex.FilterProxy, bbndb.auspex.NodeMixin

connection_from¶

connection_to¶

hash_val¶

id¶

label¶

node_type¶

qubit_name¶

class bbndb.auspex.StreamSelect(pipelineMgr=None, **kwargs)[source]¶

Bases: bbndb.auspex.NodeMixin, bbndb.auspex.NodeProxy

docstring for FilterProxy

add(filter_obj, connector_out='source', connector_in='sink')[source]¶

clear_pipeline()[source]¶: Remove all nodes coresponding to the qubit

connection_from¶

connection_to¶

create_default_pipeline(average=True, buffers=False)[source]¶

dsp_channel¶

hash_val¶

id¶

if_freq¶

kernel¶: The kernel as represented by a numpy complex128 array, or the name of a kernel file.

kernel_bias¶

kernel_data¶

label¶

node_label()[source]¶

node_type¶

qubit_name¶

show_connectivity()[source]¶

show_pipeline()[source]¶

stream_type¶

threshold¶

threshold_invert¶

validate_stream_type(key, value)[source]¶

class bbndb.auspex.Write(**kwargs)[source]¶

Bases: bbndb.auspex.OutputProxy, bbndb.auspex.NodeMixin

Writes data to file.

add_date¶

connection_from¶

connection_to¶

filename¶

groupname¶

hash_val¶

id¶

label¶

node_type¶

qubit_name¶