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4 changes: 2 additions & 2 deletions glue/sample/src/sinter/_decoding/_stim_then_decode_sampler.py
Original file line number Diff line number Diff line change
Expand Up @@ -197,8 +197,8 @@ def sample(self, max_shots: int) -> AnonTaskStats:
raise ValueError("predictions.dtype != np.uint8")
if len(predictions.shape) != 2:
raise ValueError("len(predictions.shape) != 2")
if predictions.shape[0] != num_shots:
raise ValueError("predictions.shape[0] != num_shots")
if predictions.shape[0] != num_shots - num_discards_1:
raise ValueError("predictions.shape[0] != num_shots - num_discards_1")
if predictions.shape[1] < actual_obs.shape[1]:
raise ValueError("predictions.shape[1] < actual_obs.shape[1]")
if predictions.shape[1] > actual_obs.shape[1] + 1:
Expand Down
Original file line number Diff line number Diff line change
@@ -1,9 +1,12 @@
import collections

import numpy as np
import stim

from sinter._data import Task
from sinter._decoding._decoding_vacuous import VacuousDecoder
from sinter._decoding._stim_then_decode_sampler import \
classify_discards_and_errors
classify_discards_and_errors, _CompiledStimThenDecodeSampler


def test_classify_discards_and_errors():
Expand Down Expand Up @@ -190,3 +193,23 @@ def test_classify_discards_and_errors():
num_obs=13,
) == (0, 1)
assert counter == collections.Counter(["obs_mistake_mask=_________E___"])

def test_detector_post_selection():
circuit = stim.Circuit("""
X_ERROR(1) 0
M 0
DETECTOR rec[-1]
""")
sampler = _CompiledStimThenDecodeSampler(
decoder=VacuousDecoder(),
task = Task(
circuit=circuit,
detector_error_model=circuit.detector_error_model(),
postselection_mask=np.array([1], dtype=np.uint8),
),
count_observable_error_combos=False,
count_detection_events=False,
tmp_dir=None
)
result = sampler.sample(max_shots=1)
assert result.discards == 1