def test_solver_modernization(self):
"""Solver's data is "modernized", i.e. missing props are added."""
# get real solver
with BrickedClient() as client:
solver = client.get_solver(qpu=True)
# cripple it
del solver.properties['topology']
# mock minimal data adapter response
inspector_data = {
'rel': {
'solver': solver
},
'details': {
'id': 'mock-id'
}
}
# store it
push_inspector_data(inspector_data)
# get solver data
solver_data = get_solver_data(solver.id)
# verify missing data is recreated
self.assertIn('topology', solver_data['properties'])
self.assertEqual(solver_data['properties']['topology']['type'],
'chimera')
# verify the original solver data is intact
self.assertNotIn('topology', solver.properties)
def show_bqm_response(bqm, embedding_context, response, warnings=None, params=None):
"""
Visualize a quantum machine instruction (QMI) response and binary quadratic model.
"""
data = from_bqm_response(bqm=bqm, embedding_context=embedding_context,
response=response, warnings=warnings, params=params)
id_ = push_inspector_data(data)
return open_problem(id_)
def show_qmi(problem, response, embedding_context=None, warnings=None, params=None):
"""
Visualize a quantum machine instruction (QMI).
"""
data = from_qmi_response(problem=problem, response=response,
embedding_context=embedding_context,
warnings=warnings, params=params)
id_ = push_inspector_data(data)
return open_problem(id_)
def show_bqm_sampleset(bqm, sampleset, sampler, embedding_context=None,
warnings=None, params=None):
"""
Visualize a returned sampleset and binary quadratic model.
"""
data = from_bqm_sampleset(bqm=bqm, sampleset=sampleset, sampler=sampler,
embedding_context=embedding_context,
warnings=warnings, params=params)
id_ = push_inspector_data(data)
return open_problem(id_)
def show(*args, **kwargs):
"""Auto-detect and forward to the ``show_*`` optimal for the specified
arguments.
For description of accepted arguments, see of :func:`.show_qmi`,
:func:`.show_bqm_response`, or :func:`.show_bqm_sampleset`.
Note:
Low-level data capture is enabled on `dwave.inspector` import. Data
captured includes the full quantum machine instruction (QMI), QPU
response, embedding context, warnings, and sampling parameters.
If data capture is enabled prior to embedding/sampling, you need
provide to :func:`~dwave.inspector.show` only a response or problem ID
for QMI inspection or a :class:`~dimod.SampleSet` for logical problem
and QMI inspection.
If data capture is not enabled prior to embedding/sampling, provide
all relevant data explicitly to :func:`~dwave.inspector.show`.
Examples:
This example shows ways to visualize just a QMI (not a logical problem)::
show(response)
show((h, J), response)
show(Q, response)
show('69ace80c-d3b1-448a-a028-b51b94f4a49d')
This example visualizes a QMI and explicit embedding::
show((h, J), response, dict(embedding=embedding, chain_strength=5))
This example shows embedding and warnings read from the sampleset::
show(bqm, sampleset)
This example shows embedding and warnings read from a :class:`~dimod.SampleSet`,
from which the logical problem is reconstructed::
show(sampleset)
"""
block = kwargs.pop('block', Block.ONCE)
timeout = kwargs.pop('timeout', None)
data = from_objects(*args, **kwargs)
id_ = push_inspector_data(data)
return open_problem(id_, block=block, timeout=timeout)
