def test_marginal_counts_result(self):
"""Test that a Result object containing counts marginalizes correctly."""
raw_counts_1 = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0xE": 8
}
data_1 = models.ExperimentResultData(counts=raw_counts_1)
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[["c0", 4]],
memory_slots=4)
exp_result_1 = models.ExperimentResult(shots=54,
success=True,
data=data_1,
header=exp_result_header_1)
raw_counts_2 = {"0x2": 5, "0x3": 8}
data_2 = models.ExperimentResultData(counts=raw_counts_2)
exp_result_header_2 = QobjExperimentHeader(creg_sizes=[["c0", 2]],
memory_slots=2)
exp_result_2 = models.ExperimentResult(shots=13,
success=True,
data=data_2,
header=exp_result_header_2)
result = Result(results=[exp_result_1, exp_result_2],
**self.base_result_args)
expected_marginal_counts_1 = {"00": 4, "01": 27, "10": 23}
expected_marginal_counts_2 = {"0": 5, "1": 8}
expected_marginal_counts_none = {
"0000": 4,
"0001": 7,
"0010": 10,
"0110": 5,
"1001": 11,
"1101": 9,
"1110": 8,
}
self.assertEqual(
marginal_counts(result, [0, 1]).get_counts(0),
expected_marginal_counts_1)
self.assertEqual(
marginal_counts(result, [0]).get_counts(1),
expected_marginal_counts_2)
self.assertEqual(
marginal_counts(result, None).get_counts(0),
expected_marginal_counts_none)
def test_marginal_counts(self):
"""Test that counts are marginalized correctly."""
raw_counts = {
'0x0': 4,
'0x1': 7,
'0x2': 10,
'0x6': 5,
'0x9': 11,
'0xD': 9,
'0xE': 8
}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(creg_sizes=[['c0', 4]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=54,
success=True,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
expected_marginal_counts = {'00': 4, '01': 27, '10': 23}
self.assertEqual(marginal_counts(result.get_counts(), [0, 1]),
expected_marginal_counts)
self.assertEqual(marginal_counts(result.get_counts(), [1, 0]),
expected_marginal_counts)
def test_marginal_counts_no_cregs(self):
"""Test that marginal_counts without cregs See qiskit-terra/6430."""
raw_counts_1 = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0x12": 8
}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(memory_slots=5)
exp_result_1 = models.ExperimentResult(shots=54,
success=True,
data=data_1,
header=exp_result_header_1)
result = Result(results=[exp_result_1], **self.base_result_args)
_ = marginal_counts(result, indices=[0])
marginal_counts_result = marginal_counts(result, indices=[0])
self.assertEqual(marginal_counts_result.get_counts(), {
"0": 27,
"1": 27
})
def test_marginal_counts(self):
"""Test that counts are marginalized correctly."""
raw_counts = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0xE": 8
}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(creg_sizes=[["c0", 4]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=54,
success=True,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
expected_marginal_counts = {"00": 4, "01": 27, "10": 23}
self.assertEqual(marginal_counts(result.get_counts(), [0, 1]),
expected_marginal_counts)
self.assertEqual(marginal_counts(result.get_counts(), [1, 0]),
expected_marginal_counts)
def test_marginal_counts_result_format(self):
"""Test that marginal_counts with format_marginal true properly formats output."""
raw_counts_1 = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0x12": 8
}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[["c0", 2],
["c1", 3]],
memory_slots=5)
exp_result_1 = models.ExperimentResult(shots=54,
success=True,
data=data_1,
header=exp_result_header_1)
result = Result(results=[exp_result_1], **self.base_result_args)
expected_marginal_counts_1 = {
"0_0 _0": 14,
"0_0 _1": 18,
"0_1 _0": 5,
"0_1 _1": 9,
"1_0 _0": 8,
}
marginal_counts_result = marginal_counts(result.get_counts(),
[0, 2, 4],
format_marginal=True)
self.assertEqual(marginal_counts_result, expected_marginal_counts_1)
def test_memory_counts_header(self):
"""Test that memory bitstrings are extracted properly with header."""
raw_memory = ["0x0", "0x0", "0x2", "0x2", "0x2", "0x2", "0x2"]
no_header_processed_memory = [
"0 0 00",
"0 0 00",
"0 0 10",
"0 0 10",
"0 0 10",
"0 0 10",
"0 0 10",
]
data = models.ExperimentResultData(memory=raw_memory)
exp_result_header = QobjExperimentHeader(creg_sizes=[["c0", 2],
["c0", 1],
["c1", 1]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=14,
success=True,
meas_level=2,
memory=True,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(result.get_memory(0), no_header_processed_memory)
def test_marginal_counts_result_creg_sizes(self):
"""Test that marginal_counts with Result input properly changes creg_sizes."""
raw_counts = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0xE": 8
}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(creg_sizes=[["c0", 1],
["c1", 3]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=54,
success=True,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
expected_marginal_counts = {"0 0": 14, "0 1": 18, "1 0": 13, "1 1": 9}
expected_creg_sizes = [["c0", 1], ["c1", 1]]
expected_memory_slots = 2
marginal_counts_result = marginal_counts(result, [0, 2])
self.assertEqual(marginal_counts_result.results[0].header.creg_sizes,
expected_creg_sizes)
self.assertEqual(marginal_counts_result.results[0].header.memory_slots,
expected_memory_slots)
self.assertEqual(marginal_counts_result.get_counts(0),
expected_marginal_counts)
def test_meas_level_0_single(self):
"""Test measurement level 0 single result."""
# 3 qubits
raw_memory = [
[[[0.0, 1.0], [0.0, 1.0], [0.0, 1.0]],
[[1.0, 0.0], [1.0, 0.0], [1.0, 0.0]]],
[[[0.0, 1.0], [0.0, 1.0], [0.0, 1.0]],
[[1.0, 0.0], [1.0, 0.0], [1.0, 0.0]]],
]
processed_memory = np.array(
[[[1.0j, 1.0j, 1.0j], [1.0, 1.0, 1.0]],
[[1.0j, 1.0j, 1.0j], [1.0, 1.0, 1.0]]],
dtype=np.complex_,
)
data = models.ExperimentResultData(memory=raw_memory)
exp_result = models.ExperimentResult(shots=2,
success=True,
meas_level=0,
meas_return="single",
data=data)
result = Result(results=[exp_result], **self.base_result_args)
memory = result.get_memory(0)
self.assertEqual(memory.shape, (2, 2, 3))
self.assertEqual(memory.dtype, np.complex_)
np.testing.assert_almost_equal(memory, processed_memory)
def test_circuit_statevector_repr_decimal(self):
"""Test postprocessing of statevector giving decimals arg."""
raw_statevector = np.array(
[
0.35355339 + 0.0j,
0.35355339 + 0.0j,
0.35355339 + 0.0j,
0.35355339 + 0.0j,
0.35355339 + 0.0j,
0.35355339 + 0.0j,
0.35355339 + 0.0j,
0.35355339 + 0.0j,
],
dtype=np.complex_,
)
processed_sv = np.array(
[
0.354 + 0.0j,
0.354 + 0.0j,
0.354 + 0.0j,
0.354 + 0.0j,
0.354 + 0.0j,
0.354 + 0.0j,
0.354 + 0.0j,
0.354 + 0.0j,
],
dtype=np.complex_,
)
data = models.ExperimentResultData(statevector=raw_statevector)
exp_result = models.ExperimentResult(shots=1, success=True, data=data)
result = Result(results=[exp_result], **self.base_result_args)
statevector = result.get_statevector(decimals=3)
self.assertEqual(statevector.shape, (8, ))
self.assertEqual(statevector.dtype, np.complex_)
np.testing.assert_almost_equal(statevector, processed_sv)
def test_additional_result_data(self):
"""Test construction of ExperimentResult with additional data"""
target_probs = {"0x0": 0.5, "0x1": 0.5}
data = models.ExperimentResultData(probabilities=target_probs)
exp_result = models.ExperimentResult(shots=1, success=True, data=data)
result = Result(results=[exp_result], **self.base_result_args)
result_probs = result.data(0)["probabilities"]
self.assertEqual(result_probs, target_probs)
def test_counts_duplicate_name(self):
"""Test results containing multiple entries of a single name will warn."""
data = models.ExperimentResultData(counts=dict())
exp_result_header = QobjExperimentHeader(name='foo')
exp_result = models.ExperimentResult(shots=14, success=True,
data=data, header=exp_result_header)
result = Result(results=[exp_result] * 2, **self.base_result_args)
with self.assertWarnsRegex(UserWarning, r'multiple.*foo'):
result.get_counts('foo')
def test_memory_counts_no_header(self):
"""Test that memory bitstrings are extracted properly without header."""
raw_memory = ['0x0', '0x0', '0x2', '0x2', '0x2', '0x2', '0x2']
no_header_processed_memory = [bin(int(bs[2:], 16))[2:] for bs in raw_memory]
data = models.ExperimentResultData(memory=raw_memory)
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2,
memory=True, data=data)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(result.get_memory(0), no_header_processed_memory)
def test_counts_no_header(self):
"""Test that counts are extracted properly without header."""
raw_counts = {'0x0': 4, '0x2': 10}
no_header_processed_counts = {bin(int(bs[2:], 16))[2:]: counts for
(bs, counts) in raw_counts.items()}
data = models.ExperimentResultData(counts=base.Obj(**raw_counts))
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2, data=data)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(result.get_counts(0), no_header_processed_counts)
def test_counts_int_out(self):
"""Test that fails when get_count is called with a nonexistent int."""
raw_counts = {'0x0': 4, '0x2': 10}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2, data=data)
result = Result(results=[exp_result], **self.base_result_args)
with self.assertRaises(Exception) as context:
result.get_counts(99)
self.assertEqual('Result for experiment "99" could not be found.',
context.exception.message)
def test_counts_header(self):
"""Test that counts are extracted properly with header."""
raw_counts = {'0x0': 4, '0x2': 10}
processed_counts = {'0 0 00': 4, '0 0 10': 10}
data = models.ExperimentResultData(counts=base.Obj(**raw_counts))
exp_result_header = base.Obj(creg_sizes=[['c0', 2], ['c0', 1], ['c1', 1]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2,
data=data, header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(result.get_counts(0), processed_counts)
def test_counts_by_name(self):
"""Test that counts are extracted properly by name."""
raw_counts = {'0x0': 4, '0x2': 10}
processed_counts = {'0 0 00': 4, '0 0 10': 10}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(
creg_sizes=[['c0', 2], ['c0', 1], ['c1', 1]], memory_slots=4, name='a_name')
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2,
data=data, header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(result.get_counts('a_name'), processed_counts)
def test_memory_int_out(self):
"""Test that memory bitstrings are extracted properly without header."""
raw_memory = ['0x0', '0x0', '0x2', '0x2', '0x2', '0x2', '0x2']
data = models.ExperimentResultData(memory=raw_memory)
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2,
memory=True, data=data)
result = Result(results=[exp_result], **self.base_result_args)
with self.assertRaises(Exception) as context:
result.get_memory(99)
self.assertEqual('Result for experiment "99" could not be found.',
context.exception.message)
def test_marginal_distribution(self):
"""Test that counts are marginalized correctly."""
raw_counts = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0xE": 8
}
data = models.ExperimentResultData(counts=raw_counts)
exp_result_header = QobjExperimentHeader(creg_sizes=[["c0", 4]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=54,
success=True,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
expected_marginal_counts = {"00": 4, "01": 27, "10": 23}
expected_reverse = {"00": 4, "10": 27, "01": 23}
self.assertEqual(marginal_distribution(result.get_counts(), [0, 1]),
expected_marginal_counts)
self.assertEqual(marginal_distribution(result.get_counts(), [1, 0]),
expected_reverse)
# test with register spacing, bitstrings are in form of "00 00" for register split
data = models.ExperimentResultData(counts=raw_counts)
exp_result_header = QobjExperimentHeader(creg_sizes=[["c0", 2],
["c1", 2]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=54,
success=True,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(marginal_distribution(result.get_counts(), [0, 1]),
expected_marginal_counts)
self.assertEqual(marginal_distribution(result.get_counts(), [1, 0]),
expected_reverse)
def test_marginal_counts_result(self):
"""Test that a Result object containing counts marginalizes correctly."""
raw_counts_1 = {
'0x0': 4,
'0x1': 7,
'0x2': 10,
'0x6': 5,
'0x9': 11,
'0xD': 9,
'0xE': 8
}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[['c0', 4]],
memory_slots=4)
exp_result_1 = models.ExperimentResult(shots=54,
success=True,
data=data_1,
header=exp_result_header_1)
raw_counts_2 = {'0x2': 5, '0x3': 8}
data_2 = models.ExperimentResultData(counts=dict(**raw_counts_2))
exp_result_header_2 = QobjExperimentHeader(creg_sizes=[['c0', 2]],
memory_slots=2)
exp_result_2 = models.ExperimentResult(shots=13,
success=True,
data=data_2,
header=exp_result_header_2)
result = Result(results=[exp_result_1, exp_result_2],
**self.base_result_args)
expected_marginal_counts_1 = {'00': 4, '01': 27, '10': 23}
expected_marginal_counts_2 = {'0': 5, '1': 8}
self.assertEqual(
marginal_counts(result, [0, 1]).get_counts(0),
expected_marginal_counts_1)
self.assertEqual(
marginal_counts(result, [0]).get_counts(1),
expected_marginal_counts_2)
def test_marginal_counts_inplace_false(self):
"""Test marginal_counts(Result, inplace=False) """
raw_counts_1 = {'0x0': 4, '0x1': 7, '0x2': 10, '0x6': 5, '0x9': 11, '0xD': 9, '0xE': 8}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[['c0', 4]], memory_slots=4)
exp_result_1 = models.ExperimentResult(shots=54, success=True, data=data_1,
header=exp_result_header_1)
raw_counts_2 = {'0x2': 5, '0x3': 8}
data_2 = models.ExperimentResultData(counts=dict(**raw_counts_2))
exp_result_header_2 = QobjExperimentHeader(creg_sizes=[['c0', 2]], memory_slots=2)
exp_result_2 = models.ExperimentResult(shots=13, success=True, data=data_2,
header=exp_result_header_2)
result = Result(results=[exp_result_1, exp_result_2], **self.base_result_args)
expected_marginal_counts = {'0': 27, '1': 27}
self.assertEqual(marginal_counts(result, [0], inplace=False).get_counts(0),
expected_marginal_counts)
self.assertNotEqual(result.get_counts(0),
expected_marginal_counts)
def test_circuit_unitary_repr_decimal(self):
"""Test postprocessing of unitary giving decimals arg."""
raw_unitary = np.array([[0.70710678 + 0.00000000e+00j, 0.70710678 - 8.65956056e-17j],
[0.70710678 + 0.00000000e+00j, -0.70710678 + 8.65956056e-17j]],
dtype=np.complex_)
processed_unitary = np.array([[0.707 + 0.j, 0.707 - 0.j],
[0.707 + 0.j, -0.707 + 0.j]], dtype=np.complex_)
data = models.ExperimentResultData(unitary=raw_unitary)
exp_result = models.ExperimentResult(shots=1, success=True, data=data)
result = Result(results=[exp_result], **self.base_result_args)
unitary = result.get_unitary(decimals=3)
self.assertEqual(unitary.shape, (2, 2))
self.assertEqual(unitary.dtype, np.complex_)
np.testing.assert_almost_equal(unitary, processed_unitary)
def test_meas_level_1_avg(self):
"""Test measurement level 1 average result."""
# 3 qubits
raw_memory = [[0., 1.], [1., 0.], [0.5, 0.5]]
processed_memory = np.array([1.j, 1., 0.5+0.5j], dtype=np.complex_)
data = models.ExperimentResultData(memory=raw_memory)
exp_result = models.ExperimentResult(shots=2, success=True, meas_level=1,
meas_return='avg', data=data)
result = Result(results=[exp_result], **self.base_result_args)
memory = result.get_memory(0)
self.assertEqual(memory.shape, (3,))
self.assertEqual(memory.dtype, np.complex_)
np.testing.assert_almost_equal(memory, processed_memory)
def test_counts_name_out(self):
"""Test that fails when get_count is called with a nonexistent name."""
raw_counts = {'0x0': 4, '0x2': 10}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(
creg_sizes=[['c0', 2], ['c0', 1], ['c1', 1]], memory_slots=4, name='a_name')
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2,
data=data, header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
with self.assertRaises(Exception) as context:
result.get_counts('another_name')
self.assertEqual('Data for experiment "another_name" could not be found.',
context.exception.message)
def generate_qiskit_result(self):
"""Generate standard Result for testing"""
memory = [hex(ii) for ii in range(8)]
counts = {m: 1 for m in memory}
data_1 = models.ExperimentResultData(counts=counts, memory=memory)
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[["c0", 4]],
memory_slots=4)
exp_result_1 = models.ExperimentResult(shots=8,
success=True,
data=data_1,
header=exp_result_header_1)
result = Result(results=[exp_result_1], **self.base_result_args)
return result
def test_multiple_circuits_counts(self):
""""
Test that counts are returned either as a list or a single item.
Counts are returned as a list when multiple experiments are executed
and get_counts() is called with no arguments. In all the other cases
get_counts() returns a single item containing the counts for a
single experiment.
"""
raw_counts_1 = {'0x0': 5, '0x3': 12, '0x5': 9, '0xD': 6, '0xE': 2}
processed_counts_1 = {'0000': 5, '0011': 12, '0101': 9, '1101': 6, '1110': 2}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[['c0', 4]], memory_slots=4)
exp_result_1 = models.ExperimentResult(shots=14, success=True, meas_level=2, data=data_1,
header=exp_result_header_1)
raw_counts_2 = {'0x1': 0, '0x4': 3, '0x6': 6, '0xA': 1, '0xB': 2}
processed_counts_2 = {'0001': 0, '0100': 3, '0110': 6, '1010': 1, '1011': 2}
data_2 = models.ExperimentResultData(counts=dict(**raw_counts_2))
exp_result_header_2 = QobjExperimentHeader(creg_sizes=[['c0', 4]], memory_slots=4)
exp_result_2 = models.ExperimentResult(shots=14, success=True, meas_level=2, data=data_2,
header=exp_result_header_2)
raw_counts_3 = {'0xC': 27, '0xF': 20}
processed_counts_3 = {'1100': 27, '1111': 20}
data_3 = models.ExperimentResultData(counts=dict(**raw_counts_3))
exp_result_header_3 = QobjExperimentHeader(creg_sizes=[['c0', 4]], memory_slots=4)
exp_result_3 = models.ExperimentResult(shots=14, success=True, meas_level=2, data=data_3,
header=exp_result_header_3)
mult_result = Result(results=[exp_result_1, exp_result_2, exp_result_3],
**self.base_result_args)
sing_result = Result(results=[exp_result_1], **self.base_result_args)
self.assertEqual(mult_result.get_counts(), [processed_counts_1, processed_counts_2,
processed_counts_3])
self.assertEqual(sing_result.get_counts(), processed_counts_1)
def test_marginal_counts_inplace_false(self):
"""Test marginal_counts(Result, inplace=False)"""
raw_counts_1 = {
"0x0": 4,
"0x1": 7,
"0x2": 10,
"0x6": 5,
"0x9": 11,
"0xD": 9,
"0xE": 8
}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[["c0", 4]],
memory_slots=4)
exp_result_1 = models.ExperimentResult(shots=54,
success=True,
data=data_1,
header=exp_result_header_1)
raw_counts_2 = {"0x2": 5, "0x3": 8}
data_2 = models.ExperimentResultData(counts=dict(**raw_counts_2))
exp_result_header_2 = QobjExperimentHeader(creg_sizes=[["c0", 2]],
memory_slots=2)
exp_result_2 = models.ExperimentResult(shots=13,
success=True,
data=data_2,
header=exp_result_header_2)
result = Result(results=[exp_result_1, exp_result_2],
**self.base_result_args)
expected_marginal_counts = {"0": 27, "1": 27}
self.assertEqual(
marginal_counts(result, [0], inplace=False).get_counts(0),
expected_marginal_counts)
self.assertNotEqual(result.get_counts(0), expected_marginal_counts)
def test_marginal_counts_result_format(self):
"""Test that marginal_counts with format_marginal true properly formats output."""
raw_counts_1 = {'0x0': 4, '0x1': 7, '0x2': 10, '0x6': 5, '0x9': 11, '0xD': 9, '0x12': 8}
data_1 = models.ExperimentResultData(counts=dict(**raw_counts_1))
exp_result_header_1 = QobjExperimentHeader(creg_sizes=[['c0', 2], ['c1', 3]],
memory_slots=5)
exp_result_1 = models.ExperimentResult(shots=54, success=True, data=data_1,
header=exp_result_header_1)
result = Result(results=[exp_result_1], **self.base_result_args)
expected_marginal_counts_1 = {'0_0 _0': 14, '0_0 _1': 18,
'0_1 _0': 5, '0_1 _1': 9, '1_0 _0': 8}
marginal_counts_result = marginal_counts(result.get_counts(), [0, 2, 4],
format_marginal=True)
self.assertEqual(marginal_counts_result, expected_marginal_counts_1)
def test_result_repr(self):
"""Test that repr is contstructed correctly for a results object."""
raw_counts = {'0x0': 4, '0x2': 10}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(
creg_sizes=[['c0', 2], ['c0', 1], ['c1', 1]], memory_slots=4)
exp_result = models.ExperimentResult(shots=14, success=True, meas_level=2,
data=data, header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
expected = ("Result(backend_name='test_backend', backend_version='1.0.0', "
"qobj_id='id-123', job_id='job-123', success=True, "
"results=[ExperimentResult(shots=14, success=True, "
"meas_level=2, data=ExperimentResultData(counts={'0x0': 4,"
" '0x2': 10}), header=QobjExperimentHeader(creg_sizes="
"[['c0', 2], ['c0', 1], ['c1', 1]], memory_slots=4))])")
self.assertEqual(expected, repr(result))
def test_counts_header(self):
"""Test that counts are extracted properly with header."""
raw_counts = {"0x0": 4, "0x2": 10}
processed_counts = {"0 0 00": 4, "0 0 10": 10}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(creg_sizes=[["c0", 2],
["c0", 1],
["c1", 1]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=14,
success=True,
meas_level=2,
data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
self.assertEqual(result.get_counts(0), processed_counts)
def test_marginal_counts_result_creg_sizes(self):
"""Test that marginal_counts with Result input properly changes creg_sizes."""
raw_counts = {'0x0': 4, '0x1': 7, '0x2': 10, '0x6': 5, '0x9': 11, '0xD': 9, '0xE': 8}
data = models.ExperimentResultData(counts=dict(**raw_counts))
exp_result_header = QobjExperimentHeader(creg_sizes=[['c0', 1], ['c1', 3]],
memory_slots=4)
exp_result = models.ExperimentResult(shots=54, success=True, data=data,
header=exp_result_header)
result = Result(results=[exp_result], **self.base_result_args)
expected_marginal_counts = {'0 0': 14, '0 1': 18, '1 0': 13, '1 1': 9}
expected_creg_sizes = [['c0', 1], ['c1', 1]]
expected_memory_slots = 2
marginal_counts_result = marginal_counts(result, [0, 2])
self.assertEqual(marginal_counts_result.results[0].header.creg_sizes,
expected_creg_sizes)
self.assertEqual(marginal_counts_result.results[0].header.memory_slots,
expected_memory_slots)
self.assertEqual(marginal_counts_result.get_counts(0),
expected_marginal_counts)