From f89310d609b757c3b1df7271af9e4e6490f6d26b Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 22 Mar 2026 12:22:07 +0200 Subject: [PATCH 01/27] sweep post process initial implementation --- poetry.lock | 4368 ++++++++++++++++++++++++++++-------------------- pyproject.toml | 6 +- 2 files changed, 2528 insertions(+), 1846 deletions(-) diff --git a/poetry.lock b/poetry.lock index 86477da3..3a463132 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,43 +2,40 @@ [[package]] name = "anyio" -version = "4.8.0" -description = "High level compatibility layer for multiple asynchronous event loop implementations" +version = "4.12.1" +description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"}, - {file = "anyio-4.8.0.tar.gz", hash = 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"dash-dangerously-set-inner-html", "dash-html-components", "dash-table", "docutils", "pandas", "waitress"] datahandler = ["netCDF4", "xarray"] interplot = ["dill", "ipython", "pypiwin32"] +loops = ["xarray"] two-qubit-rb = ["cirq", "cirq", "tqdm", "xarray"] [metadata] lock-version = "2.1" python-versions = ">=3.9, <3.13" -content-hash = "64f99e318e6bdd4c392474ae72e82f6dbaaf11511a8e39db2b43fa1275425394" +content-hash = "dbfda82b68b1d66db7c2b3014746942520e460fccf829c64484402a6304e0bff" diff --git a/pyproject.toml b/pyproject.toml index 9d625e55..0e297beb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ homepage = "https://github.com/qua-platform/py-qua-tools" python = ">=3.9, <3.13" matplotlib = "^3.8.0" numpy = "<3" -qm-qua = ">=1.2.3" +qm-qua = {path = "../qm-qua-sdk/dist/qm_qua-1.2.3-py3-none-any.whl"} scipy = ">=1.11.0" scikit-learn = ">=1.5.0" grpclib = "0.4.5" @@ -50,12 +50,13 @@ cirq = [ ] tqdm = { version = "^4.67.1", optional = true } -[tool.poetry.dev-dependencies] +[tool.poetry.group.dev.dependencies] pytest = "^6.2.5" black = "^24.3" poethepoet = "^0.18.0" flake8 = "^5.0.4" setuptools = "^69.0.2" +qm-saas = "^1.1.7" [tool.poetry.extras] interplot = ["dill", "pypiwin32", "ipython"] @@ -72,6 +73,7 @@ configbuilder = [ "waitress", ] datahandler = ["xarray", "netcdf4"] +loops = ["xarray"] two-qubit-rb = ["xarray", "cirq", "tqdm"] [tool.black] From a4fc040a73629ba83679caae870fb357321a1bf4 Mon Sep 17 00:00:00 2001 From: natangqm Date: Tue, 24 Mar 2026 16:14:52 +0200 Subject: [PATCH 02/27] fetch xarray implementaiton --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 3a463132..24ab71d8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4259,7 +4259,7 @@ optional = false python-versions = ">=3.9,<3.14" groups = ["main"] files = [ - {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:e6351812f6c8a86a9eb0f1144c1b009763f1ee2b68f3aa864d7e49952fdbfe5d"}, + {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:7a6c57ab3b824426b2572035a7edad9481c5fca6f2f65d49a8a6fde187075f49"}, ] [package.dependencies] From 878e9b5124831de426d37074995d8cad24a26244 Mon Sep 17 00:00:00 2001 From: natangqm Date: Tue, 24 Mar 2026 16:14:56 +0200 Subject: [PATCH 03/27] fetch xarray implementaiton --- .../loops/qua_iterable_postprocess.py | 115 ++++++++++ tests/tests_qua_utilities/conftest.py | 213 ++++++++++++++++++ .../fetch_xarray_helpers.py | 24 ++ .../test_fetch_xarray_averaging.py | 64 ++++++ .../test_fetch_xarray_basic.py | 159 +++++++++++++ .../test_fetch_xarray_edge_cases.py | 69 ++++++ .../test_fetch_xarray_zip.py | 63 ++++++ 7 files changed, 707 insertions(+) create mode 100644 qualang_tools/loops/qua_iterable_postprocess.py create mode 100644 tests/tests_qua_utilities/conftest.py create mode 100644 tests/tests_qua_utilities/fetch_xarray_helpers.py create mode 100644 tests/tests_qua_utilities/test_fetch_xarray_averaging.py create mode 100644 tests/tests_qua_utilities/test_fetch_xarray_basic.py create mode 100644 tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py create mode 100644 tests/tests_qua_utilities/test_fetch_xarray_zip.py diff --git a/qualang_tools/loops/qua_iterable_postprocess.py b/qualang_tools/loops/qua_iterable_postprocess.py new file mode 100644 index 00000000..fa0a689c --- /dev/null +++ b/qualang_tools/loops/qua_iterable_postprocess.py @@ -0,0 +1,115 @@ +from typing import Sequence, Union +from itertools import product +import numpy as np +import pandas as pd +import xarray as xr + +from qm.api.v2.job_api.job_api import JobApiWithDeprecations +from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase +from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase +from qm.qua.extensions.qua_iterators import QuaProduct +from qm.qua.extensions.qua_iterators.qua_zip import QuaZip, NativeZipIterable +from qm.qua._dsl.stream_processing.direct_stream_processing import STREAM_NAME_SEPARATOR + + +def _is_native(itr: IterableBase) -> bool: + """Check if an iterable behaves as a native iterable for stream name purposes.""" + if isinstance(itr, NativeIterableBase): + return True + if isinstance(itr, QuaZip) and isinstance(itr.zip_iterable, NativeZipIterable): + return True + return False + + +def _native_column_indices(itr: IterableBase) -> list: + """Get the stream-suffix indices for a native iterable. + + Stream names use the index of the native iteration, not the value. + """ + return list(range(len(itr))) + + +def fetch_xarray_data( + job: JobApiWithDeprecations, sweep: Union[QuaProduct, Sequence[IterableBase]] +) -> xr.Dataset: + sweep_iterables = sweep.iterables if isinstance(sweep, QuaProduct) else sweep + native_itr = [itr for itr in sweep_iterables if _is_native(itr)] + native_columns = [_native_column_indices(itr) for itr in native_itr] + + stream_data = {} # {stream_name: {native_combo: value}} + stream_with_native_itr = {} + results = job.result_handles.fetch_results() + + for res_name, value in results.items(): + if isinstance(value, np.ndarray): + if isinstance(value[0], np.void): + clean_value = value[0]["value"] + else: + clean_value = value + else: + clean_value = np.array(value) + + if native_columns: + for native_names in product(*native_columns): + suffix = STREAM_NAME_SEPARATOR + STREAM_NAME_SEPARATOR.join(str(n) for n in native_names) + if res_name.endswith(suffix): + stream_name = res_name[: -len(suffix)] + d = stream_with_native_itr.setdefault(stream_name, {}) + d[native_names] = clean_value + break + else: + raise ValueError( + f"No native iterator match found in '{res_name}'" + ) + else: + stream_data[res_name] = clean_value + + # Assemble native iterator results into nd-arrays with correct axis ordering + native_shape = tuple(len(col) for col in native_columns) + + for stream_name, combos in stream_with_native_itr.items(): + sorted_keys = list(product(*native_columns)) + arrays = [combos[key] for key in sorted_keys] + stacked = np.array(arrays) + + # Reshape flat combo dimension into native grid: (*native_dims, *non_native_dims) + non_native_shape = arrays[0].shape + result = stacked.reshape(*native_shape, *non_native_shape) + + # Transpose so each dim sits at its original sweep position (among non-averaged only) + non_avg_itr = [itr for itr in sweep_iterables if not itr.is_stream_averaged(stream_name)] + + expected_non_native_shape = tuple([itr.buffer_size for itr in non_avg_itr if not _is_native(itr)]) + if tuple(non_native_shape) != tuple(expected_non_native_shape): + raise ValueError(f"Expected qua iterators shape {expected_non_native_shape} got {non_native_shape}") + + # Current order after reshape: all native first, then non-native non-averaged + current_order = native_itr + [itr for itr in non_avg_itr if not _is_native(itr)] + perm = [current_order.index(itr) for itr in non_avg_itr] + + stream_data[stream_name] = np.transpose(result, perm) + + # Build xarray Dataset — select only non-averaged dims per stream + all_coords = {} + for itr in sweep_iterables: + if isinstance(itr, QuaZip): + vals = list(itr.values()) + sub_names = [sub.name for sub in itr.zip_iterable._iterables] + all_coords[itr.name] = pd.MultiIndex.from_tuples(vals, names=sub_names) + else: + all_coords[itr.name] = list(itr.values()) + + data_vars = {} + used_dims = set() + for name, arr in stream_data.items(): + stream_dims = [itr.name for itr in sweep_iterables if not itr.is_stream_averaged(name)] + data_vars[name] = (stream_dims, arr) + used_dims.update(stream_dims) + + coords = {k: v for k, v in all_coords.items() if k in used_dims} + ds = xr.Dataset(data_vars, coords=coords) + for itr in sweep_iterables: + unit = itr.metadata.get("unit", None) + if unit is not None and itr.name in ds.coords: + ds.coords[itr.name].attrs["unit"] = unit + return ds diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py new file mode 100644 index 00000000..c0cb2275 --- /dev/null +++ b/tests/tests_qua_utilities/conftest.py @@ -0,0 +1,213 @@ +import pytest +from typing import Generator, Optional + +from qm_saas import QmSaas + +from qm.quantum_machines_manager import QuantumMachinesManager +from qm import FullQuaConfig + +CLOUD_SIM_HOST = "qm-saas.quantum-machines.co" +HOST_IP = "localhost" +READOUT_LEN = 100 +FEM_IDX = 6 +config: FullQuaConfig = { + "version": 1, + "controllers": { + "con1": { + "type": "opx1000", + "fems": { + 1: { + "type": "LF", + "analog_outputs": { + 1: {"offset": 0.0, "sampling_rate": 2e9}, + 2: {"offset": 0.0, "sampling_rate": 2e9}, + 3: {"offset": 0.0, "sampling_rate": 2e9}, + 4: {"offset": 0.0, "output_mode": "amplified", "upsampling_mode": "pulse"}, + 5: {"offset": 0.0, "sampling_rate": 2e9}, + 6: {"offset": 0.0}, + 7: {"offset": 0.0}, + 8: {"offset": 0.0}, + }, + "digital_outputs": { + 1: {}, + 2: {}, + 3: {}, + }, + "analog_inputs": { + 1: {"offset": +0.0}, + 2: {"offset": +0.0}, + }, + }, + FEM_IDX: { + "type": "MW", + "analog_outputs": { + 1: {"sampling_rate": 1e9, "band": 2, "upconverters": {1: {"frequency": 5e9}}}, + 2: { + "sampling_rate": 1e9, + "full_scale_power_dbm": 7, + "band": 1, + "upconverters": {2: {"frequency": 1e9}}, + }, + 3: { + "sampling_rate": 1e9, + "full_scale_power_dbm": 1, + "band": 1, + "upconverters": {1: {"frequency": 2e9}, 2: {"frequency": 1e9}}, + }, + 4: {"sampling_rate": 1e9, "band": 1, "upconverter_frequency": 1.234e9}, + 7: {"sampling_rate": 1e9, "band": 2, "upconverter_frequency": 5e9}, + 8: {"sampling_rate": 1e9, "band": 2, "upconverter_frequency": 5e9}, + }, + "digital_outputs": { + 1: {"level": "LVTTL", "shareable": False, "inverted": False}, + 2: {}, + 3: {}, + }, + "analog_inputs": { + 1: {"sampling_rate": 1e9, "band": 2, "downconverter_frequency": 5e9}, + 2: {"sampling_rate": 1e9, "band": 2, "downconverter_frequency": 5e9}, + }, + }, + }, + }, + }, + "elements": { + "q1": { + "MWInput": { + "port": ("con1", FEM_IDX, 3), + "upconverter": 1, + }, + "intermediate_frequency": 100e6, + "operations": {"pi": "const_pulse"}, + }, + "q2": { + "MWInput": { + "port": ("con1", FEM_IDX, 3), + "upconverter": 1, + }, + "intermediate_frequency": 100e6, + "operations": {"pi": "const_pulse"}, + }, + "q3": { + "MWInput": { + "port": ("con1", FEM_IDX, 3), + "upconverter": 1, + }, + "intermediate_frequency": 100e6, + "operations": {"pi": "const_pulse"}, + }, + "resonator": { + "MWInput": { + "port": ("con1", FEM_IDX, 8), + }, + "intermediate_frequency": 200e6, + "MWOutput": { + "port": ("con1", FEM_IDX, 1), + }, + "time_of_flight": 484, + "smearing": 0, + "operations": {"readout": "readout_pulse"}, + }, + }, + "pulses": { + "readout_pulse": { + "operation": "measurement", + "length": READOUT_LEN, + "waveforms": { + "I": "const_wf", + "Q": "zero_wf", + }, + "integration_weights": {"cos": "cos", "sin": "sin"}, + "digital_marker": "ON", + }, + "const_pulse": { + "operation": "control", + "length": READOUT_LEN, + "waveforms": { + "I": "const_wf", + "Q": "zero_wf", + }, + }, + }, + "waveforms": { + "const_wf": {"type": "constant", "sample": 0.5}, + "zero_wf": {"type": "constant", "sample": 0.0}, + }, + "digital_waveforms": { + "ON": {"samples": [(1, 0)]}, + }, + "integration_weights": { + "cos": { + "cosine": [(1.0, READOUT_LEN)], + "sine": [(0.0, READOUT_LEN)], + }, + "sin": { + "cosine": [(0.0, READOUT_LEN)], + "sine": [(1.0, READOUT_LEN)], + }, + }, + "mixers": { + "octave_oct1_1": [ + { + "intermediate_frequency": 50e6, + "lo_frequency": 1e9, + "correction": (1, 0, 0, 1), + }, + ], + }, +} + +def pytest_addoption(parser): + """Add custom command-line options""" + parser.addoption( + "--qop-version", + action="store", + default="v3_6_0", + help="Cloud simulator QOP version to use for the tests - e.g., v3_5_0, v3_6_0, default: local for local simulator" + ) + parser.addoption( + "--cloudsim-pwd", + action="store", + default="jG4yUA9YTqcYHBVsVenf", + help="Cloud simulator password" + ) + parser.addoption( + "--cloudsim-email", + action="store", + default="qm_devops@quantum-machines.co", + help="Cloud simulator user email" + ) + +@pytest.fixture(scope="session") +def qop_cloud_sim_version(request: pytest.FixtureRequest) -> Optional[str]: + """Fixture that returns the version passed with --qop-version (string or None).""" + return request.config.getoption("--qop-version") + +@pytest.fixture(scope="session") +def cloud_sim_pwd(request: pytest.FixtureRequest) -> Optional[str] : + """Fixture that returns the version passed with --qop-version (string or None).""" + return request.config.getoption("--cloudsim-pwd") + +@pytest.fixture(scope="session") +def cloud_sim_email(request: pytest.FixtureRequest) -> Optional[str] : + """Fixture that returns the version passed with --qop-version (string or None).""" + return request.config.getoption("--cloudsim-email") + +def get_local_qmm() -> QuantumMachinesManager: + return QuantumMachinesManager(host=HOST_IP, port=9510) + +@pytest.fixture(scope="session") +def qmm( + qop_cloud_sim_version: str, cloud_sim_pwd: str, cloud_sim_email: str +) -> Generator[QuantumMachinesManager, None, None]: + if qop_cloud_sim_version != "local": + client = QmSaas(email=cloud_sim_email, password=cloud_sim_pwd, host=CLOUD_SIM_HOST) + with client.simulator(qop_cloud_sim_version) as sim_instance: + qmm = QuantumMachinesManager( + host=sim_instance.host, + port=sim_instance.port, + connection_headers=sim_instance.default_connection_headers, + ) + yield qmm + else: + yield get_local_qmm() diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py new file mode 100644 index 00000000..bc9e7247 --- /dev/null +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -0,0 +1,24 @@ +import numpy as np + +from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange +from qm import SimulationConfig, LoopbackInterface + + +simulation_config = SimulationConfig(50000, simulation_interface=LoopbackInterface([("con1", 2, 8, "con1", 2, 1)])) + +shots = 100 +frequencies = np.linspace(1, 2, 5) +amp_start = 1.1 +amp_stop = 4 +amp_step = 2 +amp_values = np.arange(amp_start, amp_stop, amp_step) +qubits = ["q1", "q2", "q3"] + + +def make_product(): + return QuaProduct([ + QuaIterableRange("shot", shots), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), + NativeIterableRange("amp", amp_start, amp_stop, amp_step) + ]) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py new file mode 100644 index 00000000..f7ef2c1c --- /dev/null +++ b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py @@ -0,0 +1,64 @@ +import numpy as np + +from qm.qua import program, declare_with_stream, assign +from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase + +from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data +from tests.tests_qua_utilities.conftest import config +from tests.tests_qua_utilities.fetch_xarray_helpers import ( + simulation_config, shots, frequencies, amp_values, qubits, make_product, +) + + +def test_full_average(qmm): + prod = make_product() + with program() as prog: + for args in prod: + full_avg = declare_with_stream(float, "full_avg_st", average_axes=[itr.name for itr in prod.iterables if not isinstance(itr, NativeIterableBase)]) + assign(full_avg, args.frequency * args.amp) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["full_avg_st"].dims == ("qubit", "amp"), f"full_avg_st dims: expected ('qubit', 'amp'), got {xarray_data['full_avg_st'].dims}" + assert xarray_data["full_avg_st"].shape == (len(qubits), len(amp_values)), f"full_avg_st shape: expected {(len(qubits), len(amp_values))}, got {xarray_data['full_avg_st'].shape}" + + expected_per_amp = amp_values * np.mean(frequencies) + for i, a in enumerate(amp_values): + assert np.allclose(xarray_data["full_avg_st"].sel(amp=a), expected_per_amp[i]), f"full_avg_st(amp={a}): expected {expected_per_amp[i]}, got {xarray_data['full_avg_st'].sel(amp=a).values}" + + # Averaged-out coords (shot, frequency) should not appear in the dataset coords + assert "shot" not in xarray_data.coords, f"'shot' should not be in coords after full averaging, got {list(xarray_data.coords)}" + assert "frequency" not in xarray_data.coords, f"'frequency' should not be in coords after full averaging, got {list(xarray_data.coords)}" + + +def test_multiple_streams_different_averages(qmm): + """Two streams: one averages shot only, the other averages both shot and frequency.""" + prod = make_product() + with program() as prog: + for args in prod: + avg_shot = declare_with_stream(float, "avg_shot_st", average_axes=["shot"]) + avg_both = declare_with_stream(float, "avg_both_st", average_axes=["shot", "frequency"]) + assign(avg_shot, args.frequency * args.amp) + assign(avg_both, args.frequency * args.amp) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + # avg_shot_st: shot averaged out → (qubit, frequency, amp) + assert xarray_data["avg_shot_st"].dims == ("qubit", "frequency", "amp"), f"avg_shot_st dims: expected ('qubit', 'frequency', 'amp'), got {xarray_data['avg_shot_st'].dims}" + assert xarray_data["avg_shot_st"].shape == (len(qubits), len(frequencies), len(amp_values)), f"avg_shot_st shape: expected {(len(qubits), len(frequencies), len(amp_values))}, got {xarray_data['avg_shot_st'].shape}" + + for f in frequencies: + for a in amp_values: + assert np.allclose(xarray_data["avg_shot_st"].sel(frequency=f, amp=a), a * f), f"avg_shot_st(frequency={f}, amp={a}): expected {a * f}, got {xarray_data['avg_shot_st'].sel(frequency=f, amp=a).values}" + + # avg_both_st: shot and frequency averaged out → (qubit, amp) + assert xarray_data["avg_both_st"].dims == ("qubit", "amp"), f"avg_both_st dims: expected ('qubit', 'amp'), got {xarray_data['avg_both_st'].dims}" + assert xarray_data["avg_both_st"].shape == (len(qubits), len(amp_values)), f"avg_both_st shape: expected {(len(qubits), len(amp_values))}, got {xarray_data['avg_both_st'].shape}" + + expected_per_amp = amp_values * np.mean(frequencies) + for i, a in enumerate(amp_values): + assert np.allclose(xarray_data["avg_both_st"].sel(amp=a), expected_per_amp[i]), f"avg_both_st(amp={a}): expected {expected_per_amp[i]}, got {xarray_data['avg_both_st'].sel(amp=a).values}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py new file mode 100644 index 00000000..ec6b38f1 --- /dev/null +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -0,0 +1,159 @@ +import numpy as np + +from qm.qua import program, declare_with_stream, assign, fixed +from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange + +from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data +from tests.tests_qua_utilities.conftest import config +from tests.tests_qua_utilities.fetch_xarray_helpers import ( + simulation_config, shots, frequencies, amp_start, amp_stop, amp_step, amp_values, qubits, make_product, +) + + +def test_single_save(qmm): + prod = make_product() + with program() as prog: + for args in prod: + single_save = declare_with_stream(int, "shot_st") + single_save_avg = declare_with_stream(float, "shot_avg_st", average_axes=["shot"]) + assign(single_save, args.shot) + assign(single_save_avg, args.frequency * args.amp) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["shot_st"].dims == ("shot", "qubit", "frequency", "amp"), f"shot_st dims: expected ('shot', 'qubit', 'frequency', 'amp'), got {xarray_data['shot_st'].dims}" + assert xarray_data["shot_st"].shape == (shots, len(qubits), len(frequencies), len(amp_values)), f"shot_st shape: expected {(shots, len(qubits), len(frequencies), len(amp_values))}, got {xarray_data['shot_st'].shape}" + + assert xarray_data["shot_avg_st"].dims == ("qubit", "frequency", "amp"), f"shot_avg_st dims: expected ('qubit', 'frequency', 'amp'), got {xarray_data['shot_avg_st'].dims}" + assert xarray_data["shot_avg_st"].shape == (len(qubits), len(frequencies), len(amp_values)), f"shot_avg_st shape: expected {(len(qubits), len(frequencies), len(amp_values))}, got {xarray_data['shot_avg_st'].shape}" + + for i in range(shots): + assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + + for f in frequencies: + for a in amp_values: + assert np.allclose(xarray_data["shot_avg_st"].sel(frequency=f, amp=a), a * f), f"shot_avg_st(frequency={f}, amp={a}): expected {a * f}, got {xarray_data['shot_avg_st'].sel(frequency=f, amp=a).values}" + + +def test_no_native_iterables(qmm): + """Only qua iterables — exercises the no-native-columns branch.""" + n_shots = 10 + prod = QuaProduct([ + QuaIterableRange("shot", n_shots), + QuaIterable("frequency", frequencies), + ]) + with program() as prog: + for args in prod: + s = declare_with_stream(int, "shot_st") + assign(s, args.shot) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["shot_st"].dims == ("shot", "frequency"), f"shot_st dims: expected ('shot', 'frequency'), got {xarray_data['shot_st'].dims}" + assert xarray_data["shot_st"].shape == (n_shots, len(frequencies)), f"shot_st shape: expected {(n_shots, len(frequencies))}, got {xarray_data['shot_st'].shape}" + + for i in range(n_shots): + assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + + +def test_no_qua_iterables(qmm): + """Only native iterables — non_native_shape is empty.""" + prod = QuaProduct([ + NativeIterable("qubit", qubits), + NativeIterableRange("amp", amp_start, amp_stop, amp_step), + ]) + with program() as prog: + for args in prod: + s = declare_with_stream(fixed, "amp_st") + assign(s, args.amp) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["amp_st"].dims == ("qubit", "amp"), f"amp_st dims: expected ('qubit', 'amp'), got {xarray_data['amp_st'].dims}" + assert xarray_data["amp_st"].shape == (len(qubits), len(amp_values)), f"amp_st shape: expected {(len(qubits), len(amp_values))}, got {xarray_data['amp_st'].shape}" + + for a in amp_values: + assert np.allclose(xarray_data["amp_st"].sel(amp=a), a), f"amp_st(amp={a}): expected {a}, got {xarray_data['amp_st'].sel(amp=a).values}" + + # Verify each native product combo maps to the correct value + for q_idx, q in enumerate(qubits): + for a_idx, a in enumerate(amp_values): + assert np.allclose(xarray_data["amp_st"].sel(qubit=q, amp=a), a), f"amp_st(qubit={q}, amp={a}): expected {a}, got {xarray_data['amp_st'].sel(qubit=q, amp=a).values}" + + +def test_pass_as_list(qmm): + """Pass sweep as a list of iterables instead of QuaProduct.""" + sweep_list = [ + QuaIterableRange("shot", 10), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), + ] + prod = QuaProduct(sweep_list) + with program() as prog: + for args in prod: + s = declare_with_stream(int, "shot_st") + assign(s, args.shot) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, sweep_list) + + assert xarray_data["shot_st"].dims == ("shot", "qubit", "frequency"), f"shot_st dims: expected ('shot', 'qubit', 'frequency'), got {xarray_data['shot_st'].dims}" + assert xarray_data["shot_st"].shape == (10, len(qubits), len(frequencies)), f"shot_st shape: expected {(10, len(qubits), len(frequencies))}, got {xarray_data['shot_st'].shape}" + + for i in range(10): + assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + + +def test_interleaved_dim_ordering(qmm): + """Interleaved native/qua iterables to verify transpose permutation correctness.""" + n_shots = 10 + prod = QuaProduct([ + QuaIterableRange("shot", n_shots), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), + NativeIterableRange("amp", amp_start, amp_stop, amp_step), + ]) + with program() as prog: + for args in prod: + s_shot = declare_with_stream(int, "shot_st") + s_freq = declare_with_stream(fixed, "freq_st") + assign(s_shot, args.shot) + assign(s_freq, args.frequency) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["shot_st"].dims == ("shot", "qubit", "frequency", "amp"), f"shot_st dims: expected ('shot', 'qubit', 'frequency', 'amp'), got {xarray_data['shot_st'].dims}" + assert xarray_data["freq_st"].dims == ("shot", "qubit", "frequency", "amp"), f"freq_st dims: expected ('shot', 'qubit', 'frequency', 'amp'), got {xarray_data['freq_st'].dims}" + + for i in range(n_shots): + assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + + for f in frequencies: + assert np.allclose(xarray_data["freq_st"].sel(frequency=f), f), f"freq_st(frequency={f}): expected all values to be {f}, got {xarray_data['freq_st'].sel(frequency=f).values}" + + +def test_coordinate_values(qmm): + """Verify that xarray coordinate values match the original iterable values.""" + prod = make_product() + with program() as prog: + for args in prod: + s = declare_with_stream(int, "shot_st") + assign(s, args.shot) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert np.array_equal(xarray_data.coords["shot"].values, np.arange(shots)), f"shot coords: expected {np.arange(shots)}, got {xarray_data.coords['shot'].values}" + assert np.array_equal(xarray_data.coords["qubit"].values, qubits), f"qubit coords: expected {qubits}, got {xarray_data.coords['qubit'].values}" + assert np.allclose(xarray_data.coords["frequency"].values, frequencies), f"frequency coords: expected {frequencies}, got {xarray_data.coords['frequency'].values}" + assert np.allclose(xarray_data.coords["amp"].values, amp_values), f"amp coords: expected {amp_values}, got {xarray_data.coords['amp'].values}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py new file mode 100644 index 00000000..e5d79970 --- /dev/null +++ b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py @@ -0,0 +1,69 @@ +import numpy as np +import pytest + +from qm.qua import program, declare_with_stream, measure, dual_demod, assign, fixed +from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange + +from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data +from tests.tests_qua_utilities.conftest import config +from tests.tests_qua_utilities.fetch_xarray_helpers import ( + simulation_config, frequencies, amp_start, amp_stop, amp_step, make_product, +) + + +def test_multi_save_raises(qmm): + prod = make_product() + with program() as prog: + for args in prod: + multi_save = declare_with_stream(int, "shot_st_multi_save") + assign(multi_save, args.shot) + assign(multi_save, args.shot + 1) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + + with pytest.raises(ValueError, match="Expected qua iterators shape"): + fetch_xarray_data(job, prod) + + +def test_demod_np_void(qmm): + """Test np.void value handling from dual_demod measurement results.""" + prod = QuaProduct([ + QuaIterableRange("shot", 10), + NativeIterable("qubit", ["q1"]), + ]) + with program() as prog: + for args in prod: + I = declare_with_stream(fixed, "I_st") + measure("readout", "resonator", None, dual_demod.full("cos", "sin", I)) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["I_st"].dims == ("shot", "qubit"), f"I_st dims: expected ('shot', 'qubit'), got {xarray_data['I_st'].dims}" + assert xarray_data["I_st"].shape == (10, 1), f"I_st shape: expected (10, 1), got {xarray_data['I_st'].shape}" + + +def test_units_metadata(qmm): + prod = QuaProduct([ + QuaIterableRange("shot", 10, metadata={"unit": "count"}), + NativeIterable("qubit", ["q1"], metadata={"unit": "qubit_id"}), + QuaIterable("frequency", frequencies, metadata={"unit": "Hz"}), + NativeIterableRange("amp", amp_start, amp_stop, amp_step, metadata={"unit": "V"}) + ]) + with program() as prog: + for args in prod: + s = declare_with_stream(float, "val_st", average_axes=["shot"]) + assign(s, args.frequency) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data.coords["frequency"].attrs["unit"] == "Hz", f"frequency unit: expected 'Hz', got {xarray_data.coords['frequency'].attrs.get('unit')}" + assert xarray_data.coords["amp"].attrs["unit"] == "V", f"amp unit: expected 'V', got {xarray_data.coords['amp'].attrs.get('unit')}" + assert xarray_data.coords["qubit"].attrs["unit"] == "qubit_id", f"qubit unit: expected 'qubit_id', got {xarray_data.coords['qubit'].attrs.get('unit')}" + + # shot is averaged out — its unit should not be set on any coord + assert "shot" not in xarray_data.coords, f"'shot' should not be in coords after averaging, got {list(xarray_data.coords)}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_zip.py b/tests/tests_qua_utilities/test_fetch_xarray_zip.py new file mode 100644 index 00000000..e9692cd4 --- /dev/null +++ b/tests/tests_qua_utilities/test_fetch_xarray_zip.py @@ -0,0 +1,63 @@ +import numpy as np +from qm import generate_qua_script + +from qm.qua import program, declare_with_stream, assign, fixed +from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange, QuaZip + +from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data +from tests.tests_qua_utilities.conftest import config +from tests.tests_qua_utilities.fetch_xarray_helpers import ( + simulation_config, frequencies, qubits, +) + + +def test_qua_zip_native(qmm): + native_zip_values = ["q1", "q2", "q3"] + prod = QuaProduct([ + QuaIterableRange("shot", 10), + QuaZip([ + NativeIterable("qubit", native_zip_values), + NativeIterableRange("amp", 0.1, 0.4, 0.1), + ], name="qb_amp"), + QuaIterable("frequency", frequencies), + ]) + with program() as prog: + for args in prod: + s = declare_with_stream(int, "val_st") + assign(s, args.shot) + + print(generate_qua_script(prog)) + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["val_st"].dims == ("shot", "qb_amp", "frequency"), f"val_st dims: expected ('shot', 'qb_amp', 'frequency'), got {xarray_data['val_st'].dims}" + assert xarray_data["val_st"].shape == (10, len(native_zip_values), len(frequencies)), f"val_st shape: expected {(10, len(native_zip_values), len(frequencies))}, got {xarray_data['val_st'].shape}" + + for i in range(10): + assert (xarray_data["val_st"][i] == i).all(), f"val_st[{i}]: expected all values to be {i}, got {xarray_data['val_st'][i].values}" + + +def test_qua_zip_qua(qmm): + tau_values = np.linspace(1, 7, 5) + prod = QuaProduct([ + QuaZip([ + QuaIterable("frequency", frequencies), + QuaIterable("tau", tau_values), + ], name="freq_tau"), + NativeIterable("qubit", qubits), + ]) + with program() as prog: + for args in prod: + s = declare_with_stream(fixed, "freq_st") + assign(s, args.freq_tau.frequency) + + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + xarray_data = fetch_xarray_data(job, prod) + + assert xarray_data["freq_st"].dims == ("freq_tau", "qubit"), f"freq_st dims: expected ('freq_tau', 'qubit'), got {xarray_data['freq_st'].dims}" + assert xarray_data["freq_st"].shape == (len(frequencies), len(qubits)), f"freq_st shape: expected {(len(frequencies), len(qubits))}, got {xarray_data['freq_st'].shape}" + + for i, f in enumerate(frequencies): + assert np.allclose(xarray_data["freq_st"][i], f), f"freq_st[{i}]: expected all values to be {f}, got {xarray_data['freq_st'][i].values}" From 896cc8510bb6ac9192ac7f2767c4c0b1dea22b98 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 29 Mar 2026 10:30:28 +0300 Subject: [PATCH 04/27] small fixes --- poetry.lock | 2 +- .../loops/qua_iterable_postprocess.py | 62 ++++++++++++++----- 2 files changed, 47 insertions(+), 17 deletions(-) diff --git a/poetry.lock b/poetry.lock index 24ab71d8..ce9cefae 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4259,7 +4259,7 @@ optional = false python-versions = ">=3.9,<3.14" groups = ["main"] files = [ - {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:7a6c57ab3b824426b2572035a7edad9481c5fca6f2f65d49a8a6fde187075f49"}, + {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:fb031fce915f44392b3c6a2f618b8b9c62c0b862b44d3c62b1f0111fb6053c9d"}, ] [package.dependencies] diff --git a/qualang_tools/loops/qua_iterable_postprocess.py b/qualang_tools/loops/qua_iterable_postprocess.py index fa0a689c..ea951ec3 100644 --- a/qualang_tools/loops/qua_iterable_postprocess.py +++ b/qualang_tools/loops/qua_iterable_postprocess.py @@ -1,10 +1,9 @@ from typing import Sequence, Union from itertools import product import numpy as np -import pandas as pd import xarray as xr -from qm.api.v2.job_api.job_api import JobApiWithDeprecations +from qm.api.v2.job_api.job_api import JobApi from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase from qm.qua.extensions.qua_iterators import QuaProduct @@ -30,20 +29,48 @@ def _native_column_indices(itr: IterableBase) -> list: def fetch_xarray_data( - job: JobApiWithDeprecations, sweep: Union[QuaProduct, Sequence[IterableBase]] + job: JobApi, + sweep: Union[QuaProduct, Sequence[IterableBase]], + wait_until_done: bool = False, ) -> xr.Dataset: + """Fetch job results and organize them into an xarray Dataset aligned with sweep dimensions. + + Retrieves all result streams from a completed QUA job and reshapes them according to + the sweep structure (product of iterables). Native iterables are reassembled from their + per-index streams into nd-arrays, and axes are transposed to match the original sweep + order. Each data variable in the returned Dataset is indexed only by the dimensions + that were not stream-averaged for that variable. Coordinate metadata (e.g. units) from + the iterables is attached to the corresponding Dataset coordinates. + + Args: + job: A completed QUA job from which to fetch results. + sweep: The sweep definition used in the QUA program — either a ``QuaProduct`` + or a sequence of ``IterableBase`` objects. + wait_until_done: If True, block until the job completes before fetching results. + Defaults to False. + + Returns: + An ``xr.Dataset`` where each data variable corresponds to a result stream, + dimensioned by the non-averaged sweep iterables, with coordinates and metadata + derived from the sweep definition. + + Raises: + ValueError: If a result stream name cannot be matched to the expected native + iterator suffixes, or if the non-native shape of a stream does not match + the expected shape from the sweep iterables. + """ sweep_iterables = sweep.iterables if isinstance(sweep, QuaProduct) else sweep native_itr = [itr for itr in sweep_iterables if _is_native(itr)] native_columns = [_native_column_indices(itr) for itr in native_itr] stream_data = {} # {stream_name: {native_combo: value}} stream_with_native_itr = {} - results = job.result_handles.fetch_results() + results = job.result_handles.fetch_results(wait_until_done=wait_until_done) for res_name, value in results.items(): if isinstance(value, np.ndarray): if isinstance(value[0], np.void): - clean_value = value[0]["value"] + clean_value = value["value"] else: clean_value = value else: @@ -73,15 +100,18 @@ def fetch_xarray_data( stacked = np.array(arrays) # Reshape flat combo dimension into native grid: (*native_dims, *non_native_dims) + non_avg_itr = [itr for itr in sweep_iterables if not itr.is_stream_averaged(stream_name)] non_native_shape = arrays[0].shape - result = stacked.reshape(*native_shape, *non_native_shape) + expected_non_native_shape = tuple([itr.buffer_size for itr in non_avg_itr if not _is_native(itr)]) - # Transpose so each dim sits at its original sweep position (among non-averaged only) - non_avg_itr = [itr for itr in sweep_iterables if not itr.is_stream_averaged(stream_name)] + if len(expected_non_native_shape) > 0: + if tuple(non_native_shape) != tuple(expected_non_native_shape): + raise ValueError(f"Expected qua iterators shape {expected_non_native_shape} got {non_native_shape}") + result = stacked.reshape(*native_shape, *non_native_shape) + else: + result = stacked.reshape(*native_shape) - expected_non_native_shape = tuple([itr.buffer_size for itr in non_avg_itr if not _is_native(itr)]) - if tuple(non_native_shape) != tuple(expected_non_native_shape): - raise ValueError(f"Expected qua iterators shape {expected_non_native_shape} got {non_native_shape}") + # Transpose so each dim sits at its original sweep position (among non-averaged only) # Current order after reshape: all native first, then non-native non-averaged current_order = native_itr + [itr for itr in non_avg_itr if not _is_native(itr)] @@ -92,12 +122,12 @@ def fetch_xarray_data( # Build xarray Dataset — select only non-averaged dims per stream all_coords = {} for itr in sweep_iterables: - if isinstance(itr, QuaZip): - vals = list(itr.values()) - sub_names = [sub.name for sub in itr.zip_iterable._iterables] - all_coords[itr.name] = pd.MultiIndex.from_tuples(vals, names=sub_names) + if isinstance(itr.values[0], tuple): + coord = np.empty(len(itr.values), dtype=object) + coord[:] = itr.values + all_coords[itr.name] = coord else: - all_coords[itr.name] = list(itr.values()) + all_coords[itr.name] = list(itr.values) data_vars = {} used_dims = set() From d63dd766d1f26f80de37507b973ffdb79bd4011a Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 29 Mar 2026 10:31:44 +0300 Subject: [PATCH 05/27] format --- qualang_tools/loops/qua_iterable_postprocess.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/qualang_tools/loops/qua_iterable_postprocess.py b/qualang_tools/loops/qua_iterable_postprocess.py index ea951ec3..016fcb4d 100644 --- a/qualang_tools/loops/qua_iterable_postprocess.py +++ b/qualang_tools/loops/qua_iterable_postprocess.py @@ -85,9 +85,7 @@ def fetch_xarray_data( d[native_names] = clean_value break else: - raise ValueError( - f"No native iterator match found in '{res_name}'" - ) + raise ValueError(f"No native iterator match found in '{res_name}'") else: stream_data[res_name] = clean_value From 7e73cff6ad4390cd935415feb74bd1ad38e186ca Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 29 Mar 2026 11:13:42 +0300 Subject: [PATCH 06/27] config reduction --- .../loops/qua_iterable_postprocess.py | 2 - tests/tests_qua_utilities/conftest.py | 86 +------------------ 2 files changed, 1 insertion(+), 87 deletions(-) diff --git a/qualang_tools/loops/qua_iterable_postprocess.py b/qualang_tools/loops/qua_iterable_postprocess.py index 016fcb4d..273e3685 100644 --- a/qualang_tools/loops/qua_iterable_postprocess.py +++ b/qualang_tools/loops/qua_iterable_postprocess.py @@ -110,11 +110,9 @@ def fetch_xarray_data( result = stacked.reshape(*native_shape) # Transpose so each dim sits at its original sweep position (among non-averaged only) - # Current order after reshape: all native first, then non-native non-averaged current_order = native_itr + [itr for itr in non_avg_itr if not _is_native(itr)] perm = [current_order.index(itr) for itr in non_avg_itr] - stream_data[stream_name] = np.transpose(result, perm) # Build xarray Dataset — select only non-averaged dims per stream diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py index c0cb2275..9edc5796 100644 --- a/tests/tests_qua_utilities/conftest.py +++ b/tests/tests_qua_utilities/conftest.py @@ -16,86 +16,19 @@ "con1": { "type": "opx1000", "fems": { - 1: { - "type": "LF", - "analog_outputs": { - 1: {"offset": 0.0, "sampling_rate": 2e9}, - 2: {"offset": 0.0, "sampling_rate": 2e9}, - 3: {"offset": 0.0, "sampling_rate": 2e9}, - 4: {"offset": 0.0, "output_mode": "amplified", "upsampling_mode": "pulse"}, - 5: {"offset": 0.0, "sampling_rate": 2e9}, - 6: {"offset": 0.0}, - 7: {"offset": 0.0}, - 8: {"offset": 0.0}, - }, - "digital_outputs": { - 1: {}, - 2: {}, - 3: {}, - }, - "analog_inputs": { - 1: {"offset": +0.0}, - 2: {"offset": +0.0}, - }, - }, FEM_IDX: { "type": "MW", "analog_outputs": { - 1: {"sampling_rate": 1e9, "band": 2, "upconverters": {1: {"frequency": 5e9}}}, - 2: { - "sampling_rate": 1e9, - "full_scale_power_dbm": 7, - "band": 1, - "upconverters": {2: {"frequency": 1e9}}, - }, - 3: { - "sampling_rate": 1e9, - "full_scale_power_dbm": 1, - "band": 1, - "upconverters": {1: {"frequency": 2e9}, 2: {"frequency": 1e9}}, - }, - 4: {"sampling_rate": 1e9, "band": 1, "upconverter_frequency": 1.234e9}, - 7: {"sampling_rate": 1e9, "band": 2, "upconverter_frequency": 5e9}, 8: {"sampling_rate": 1e9, "band": 2, "upconverter_frequency": 5e9}, }, - "digital_outputs": { - 1: {"level": "LVTTL", "shareable": False, "inverted": False}, - 2: {}, - 3: {}, - }, "analog_inputs": { 1: {"sampling_rate": 1e9, "band": 2, "downconverter_frequency": 5e9}, - 2: {"sampling_rate": 1e9, "band": 2, "downconverter_frequency": 5e9}, }, }, }, }, }, "elements": { - "q1": { - "MWInput": { - "port": ("con1", FEM_IDX, 3), - "upconverter": 1, - }, - "intermediate_frequency": 100e6, - "operations": {"pi": "const_pulse"}, - }, - "q2": { - "MWInput": { - "port": ("con1", FEM_IDX, 3), - "upconverter": 1, - }, - "intermediate_frequency": 100e6, - "operations": {"pi": "const_pulse"}, - }, - "q3": { - "MWInput": { - "port": ("con1", FEM_IDX, 3), - "upconverter": 1, - }, - "intermediate_frequency": 100e6, - "operations": {"pi": "const_pulse"}, - }, "resonator": { "MWInput": { "port": ("con1", FEM_IDX, 8), @@ -120,14 +53,6 @@ "integration_weights": {"cos": "cos", "sin": "sin"}, "digital_marker": "ON", }, - "const_pulse": { - "operation": "control", - "length": READOUT_LEN, - "waveforms": { - "I": "const_wf", - "Q": "zero_wf", - }, - }, }, "waveforms": { "const_wf": {"type": "constant", "sample": 0.5}, @@ -145,16 +70,7 @@ "cosine": [(0.0, READOUT_LEN)], "sine": [(1.0, READOUT_LEN)], }, - }, - "mixers": { - "octave_oct1_1": [ - { - "intermediate_frequency": 50e6, - "lo_frequency": 1e9, - "correction": (1, 0, 0, 1), - }, - ], - }, + } } def pytest_addoption(parser): From 7f7c0dbb1410f68663d30f20f395f16fb3d5ca4e Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 29 Mar 2026 11:15:36 +0300 Subject: [PATCH 07/27] magic numbers --- tests/tests_qua_utilities/conftest.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py index 9edc5796..8209e70a 100644 --- a/tests/tests_qua_utilities/conftest.py +++ b/tests/tests_qua_utilities/conftest.py @@ -10,6 +10,8 @@ HOST_IP = "localhost" READOUT_LEN = 100 FEM_IDX = 6 +ANALOG_OUTPUT_PORT = 8 +ANALOG_INPUT_PORT = 1 config: FullQuaConfig = { "version": 1, "controllers": { @@ -19,10 +21,10 @@ FEM_IDX: { "type": "MW", "analog_outputs": { - 8: {"sampling_rate": 1e9, "band": 2, "upconverter_frequency": 5e9}, + ANALOG_OUTPUT_PORT: {"sampling_rate": 1e9, "band": 2, "upconverter_frequency": 5e9}, }, "analog_inputs": { - 1: {"sampling_rate": 1e9, "band": 2, "downconverter_frequency": 5e9}, + ANALOG_INPUT_PORT: {"sampling_rate": 1e9, "band": 2, "downconverter_frequency": 5e9}, }, }, }, @@ -31,11 +33,11 @@ "elements": { "resonator": { "MWInput": { - "port": ("con1", FEM_IDX, 8), + "port": ("con1", FEM_IDX, ANALOG_OUTPUT_PORT), }, "intermediate_frequency": 200e6, "MWOutput": { - "port": ("con1", FEM_IDX, 1), + "port": ("con1", FEM_IDX, ANALOG_INPUT_PORT), }, "time_of_flight": 484, "smearing": 0, From 4c2cbe8e56140cbd00cd97f1968e835cdc651fc4 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 29 Mar 2026 11:19:31 +0300 Subject: [PATCH 08/27] lockfile --- poetry.lock | 5182 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 5182 insertions(+) create mode 100644 poetry.lock diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 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+loops = ["xarray"] +two-qubit-rb = ["cirq", "cirq", "tqdm", "xarray"] + +[metadata] +lock-version = "2.1" +python-versions = ">=3.9, <3.13" +content-hash = "1d1cc9794fa580234e465583efeef3cfb5399c53d680b0e7695793290fb17460" From d2e22a6b592578d0121b7eb27eec493d4a6d8c3f Mon Sep 17 00:00:00 2001 From: natangqm Date: Mon, 30 Mar 2026 13:27:53 +0300 Subject: [PATCH 09/27] pr comments --- poetry.lock | 4 +- .../loops/qua_iterable_postprocess.py | 139 ++++++++++-------- .../fetch_xarray_helpers.py | 36 +++++ .../test_fetch_xarray_averaging.py | 28 ++-- .../test_fetch_xarray_basic.py | 62 +++----- .../test_fetch_xarray_edge_cases.py | 21 +-- .../test_fetch_xarray_zip.py | 20 +-- 7 files changed, 153 insertions(+), 157 deletions(-) diff --git a/poetry.lock b/poetry.lock index 04bbb9ff..fb948a55 100644 --- a/poetry.lock +++ b/poetry.lock @@ -807,7 +807,7 @@ files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -markers = {main = "platform_system == \"Windows\" and sys_platform == \"win32\" and (extra == \"interplot\" or extra == \"configbuilder\" or extra == \"two-qubit-rb\") or platform_system == \"Windows\" and (extra == \"configbuilder\" or extra == \"two-qubit-rb\") or extra == \"interplot\" and sys_platform == \"win32\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""} +markers = {main = "sys_platform == \"win32\" and platform_system == \"Windows\" and (extra == \"interplot\" or extra == \"configbuilder\" or extra == \"two-qubit-rb\") or sys_platform == \"win32\" and extra == \"interplot\" or (extra == \"configbuilder\" or extra == \"two-qubit-rb\") and platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""} [[package]] name = "contourpy" @@ -4305,7 +4305,7 @@ optional = false python-versions = ">=3.9,<3.14" groups = ["main"] files = [ - {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:fb031fce915f44392b3c6a2f618b8b9c62c0b862b44d3c62b1f0111fb6053c9d"}, + {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:bac2e1eb68b143b51fbdaddaf433d52c149d2cea5e9685e306e500bb1f6ca884"}, ] [package.dependencies] diff --git a/qualang_tools/loops/qua_iterable_postprocess.py b/qualang_tools/loops/qua_iterable_postprocess.py index 273e3685..58f7006e 100644 --- a/qualang_tools/loops/qua_iterable_postprocess.py +++ b/qualang_tools/loops/qua_iterable_postprocess.py @@ -1,26 +1,15 @@ -from typing import Sequence, Union +from typing import Optional, Sequence, Union from itertools import product import numpy as np import xarray as xr from qm.api.v2.job_api.job_api import JobApi from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase -from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase from qm.qua.extensions.qua_iterators import QuaProduct -from qm.qua.extensions.qua_iterators.qua_zip import QuaZip, NativeZipIterable from qm.qua._dsl.stream_processing.direct_stream_processing import STREAM_NAME_SEPARATOR -def _is_native(itr: IterableBase) -> bool: - """Check if an iterable behaves as a native iterable for stream name purposes.""" - if isinstance(itr, NativeIterableBase): - return True - if isinstance(itr, QuaZip) and isinstance(itr.zip_iterable, NativeZipIterable): - return True - return False - - -def _native_column_indices(itr: IterableBase) -> list: +def _native_column_indices(itr: IterableBase) -> list[int]: """Get the stream-suffix indices for a native iterable. Stream names use the index of the native iteration, not the value. @@ -28,6 +17,71 @@ def _native_column_indices(itr: IterableBase) -> list: return list(range(len(itr))) +def _clean_result_value( + value: Union[np.ndarray, Optional[np.floating], Optional[np.integer]], +) -> np.ndarray: + """Extract a clean numpy array from a single fetch_results value. + + Handles structured arrays (e.g. from dual_demod) by extracting the "value" + field, and wraps numpy scalars into arrays. + """ + if isinstance(value, np.ndarray): + if isinstance(value[0], np.void): + return value["value"] + return value + return np.array(value) + + +def _find_stream_name_from_full_stream_name(result_name, native_columns): + for native_names in product(*native_columns): + suffix = STREAM_NAME_SEPARATOR + STREAM_NAME_SEPARATOR.join(str(n) for n in native_names) + if result_name.endswith(suffix): + stream_name = result_name[: -len(suffix)] + + return stream_name, native_names + + raise ValueError(f"No native iterator match found in '{result_name}'") + + +def _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterables, native_itr): + native_columns = [_native_column_indices(itr) for itr in native_itr] + stream_data = {} + stream_with_native_itr = {} + for res_name, value in results.items(): + clean_value = _clean_result_value(value) + stream_name, native_names = _find_stream_name_from_full_stream_name(res_name, native_columns) + d = stream_with_native_itr.setdefault(stream_name, {}) + d[native_names] = clean_value + + # Assemble native iterator results into nd-arrays with correct axis ordering + native_shape = tuple(len(col) for col in native_columns) + + for stream_name, combos in stream_with_native_itr.items(): + sorted_keys = list(product(*native_columns)) + arrays = [combos[key] for key in sorted_keys] + stacked = np.array(arrays) + + # Reshape flat combo dimension into native grid: (*native_dims, *non_native_dims) + non_avg_itr = [itr for itr in sweep_iterables if not itr.is_stream_averaged(stream_name)] + non_native_shape = arrays[0].shape + expected_non_native_shape = tuple([itr.buffer_size for itr in non_avg_itr if itr.is_qua_iterable]) + + if len(expected_non_native_shape) > 0: + if tuple(non_native_shape) != tuple(expected_non_native_shape): + raise ValueError(f"Expected qua iterators shape {expected_non_native_shape} got {non_native_shape}") + result = stacked.reshape(*native_shape, *non_native_shape) + else: + result = stacked.reshape(*native_shape) + + # Transpose so each dim sits at its original sweep position (among non-averaged only) + # Current order after reshape: all native first, then non-native non-averaged + current_order = native_itr + [itr for itr in non_avg_itr if itr.is_qua_iterable] + perm = [current_order.index(itr) for itr in non_avg_itr] + stream_data[stream_name] = np.transpose(result, perm) + + return stream_data + + def fetch_xarray_data( job: JobApi, sweep: Union[QuaProduct, Sequence[IterableBase]], @@ -60,60 +114,15 @@ def fetch_xarray_data( the expected shape from the sweep iterables. """ sweep_iterables = sweep.iterables if isinstance(sweep, QuaProduct) else sweep - native_itr = [itr for itr in sweep_iterables if _is_native(itr)] - native_columns = [_native_column_indices(itr) for itr in native_itr] + native_itr = [itr for itr in sweep_iterables if not itr.is_qua_iterable] - stream_data = {} # {stream_name: {native_combo: value}} - stream_with_native_itr = {} results = job.result_handles.fetch_results(wait_until_done=wait_until_done) - - for res_name, value in results.items(): - if isinstance(value, np.ndarray): - if isinstance(value[0], np.void): - clean_value = value["value"] - else: - clean_value = value - else: - clean_value = np.array(value) - - if native_columns: - for native_names in product(*native_columns): - suffix = STREAM_NAME_SEPARATOR + STREAM_NAME_SEPARATOR.join(str(n) for n in native_names) - if res_name.endswith(suffix): - stream_name = res_name[: -len(suffix)] - d = stream_with_native_itr.setdefault(stream_name, {}) - d[native_names] = clean_value - break - else: - raise ValueError(f"No native iterator match found in '{res_name}'") - else: - stream_data[res_name] = clean_value - - # Assemble native iterator results into nd-arrays with correct axis ordering - native_shape = tuple(len(col) for col in native_columns) - - for stream_name, combos in stream_with_native_itr.items(): - sorted_keys = list(product(*native_columns)) - arrays = [combos[key] for key in sorted_keys] - stacked = np.array(arrays) - - # Reshape flat combo dimension into native grid: (*native_dims, *non_native_dims) - non_avg_itr = [itr for itr in sweep_iterables if not itr.is_stream_averaged(stream_name)] - non_native_shape = arrays[0].shape - expected_non_native_shape = tuple([itr.buffer_size for itr in non_avg_itr if not _is_native(itr)]) - - if len(expected_non_native_shape) > 0: - if tuple(non_native_shape) != tuple(expected_non_native_shape): - raise ValueError(f"Expected qua iterators shape {expected_non_native_shape} got {non_native_shape}") - result = stacked.reshape(*native_shape, *non_native_shape) - else: - result = stacked.reshape(*native_shape) - - # Transpose so each dim sits at its original sweep position (among non-averaged only) - # Current order after reshape: all native first, then non-native non-averaged - current_order = native_itr + [itr for itr in non_avg_itr if not _is_native(itr)] - perm = [current_order.index(itr) for itr in non_avg_itr] - stream_data[stream_name] = np.transpose(result, perm) + if native_itr: + stream_data = _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterables, native_itr) + else: + stream_data = {} + for res_name, value in results.items(): + stream_data[res_name] = _clean_result_value(value) # Build xarray Dataset — select only non-averaged dims per stream all_coords = {} diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py index bc9e7247..e9221f14 100644 --- a/tests/tests_qua_utilities/fetch_xarray_helpers.py +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -1,8 +1,15 @@ +from typing import Sequence, Union + import numpy as np +import xarray as xr from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange +from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase from qm import SimulationConfig, LoopbackInterface +from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data +from tests.tests_qua_utilities.conftest import config + simulation_config = SimulationConfig(50000, simulation_interface=LoopbackInterface([("con1", 2, 8, "con1", 2, 1)])) @@ -22,3 +29,32 @@ def make_product(): QuaIterable("frequency", frequencies), NativeIterableRange("amp", amp_start, amp_stop, amp_step) ]) + + +def simulate_and_fetch( + qmm, prog, sweep: Union[QuaProduct, Sequence[IterableBase]], +) -> xr.Dataset: + job = qmm.simulate(config, prog, simulation_config) + job.result_handles.wait_for_all_values() + return fetch_xarray_data(job, sweep) + + +def assert_dims_and_shape( + ds: xr.Dataset, var_name: str, expected_dims: tuple[str, ...], expected_shape: tuple[int, ...], +): + assert ds[var_name].dims == expected_dims, ( + f"{var_name} dims: expected {expected_dims}, got {ds[var_name].dims}" + ) + assert ds[var_name].shape == expected_shape, ( + f"{var_name} shape: expected {expected_shape}, got {ds[var_name].shape}" + ) + + +def assert_allclose_sel( + ds: xr.Dataset, var_name: str, expected, **sel_kwargs, +): + actual = ds[var_name].sel(**sel_kwargs) + sel_str = ", ".join(f"{k}={v}" for k, v in sel_kwargs.items()) + assert np.allclose(actual, expected), ( + f"{var_name}({sel_str}): expected {expected}, got {actual.values}" + ) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py index f7ef2c1c..6fb3f709 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py @@ -3,10 +3,9 @@ from qm.qua import program, declare_with_stream, assign from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase -from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data -from tests.tests_qua_utilities.conftest import config from tests.tests_qua_utilities.fetch_xarray_helpers import ( - simulation_config, shots, frequencies, amp_values, qubits, make_product, + frequencies, amp_values, qubits, make_product, simulate_and_fetch, + assert_dims_and_shape, assert_allclose_sel, ) @@ -17,16 +16,13 @@ def test_full_average(qmm): full_avg = declare_with_stream(float, "full_avg_st", average_axes=[itr.name for itr in prod.iterables if not isinstance(itr, NativeIterableBase)]) assign(full_avg, args.frequency * args.amp) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["full_avg_st"].dims == ("qubit", "amp"), f"full_avg_st dims: expected ('qubit', 'amp'), got {xarray_data['full_avg_st'].dims}" - assert xarray_data["full_avg_st"].shape == (len(qubits), len(amp_values)), f"full_avg_st shape: expected {(len(qubits), len(amp_values))}, got {xarray_data['full_avg_st'].shape}" + assert_dims_and_shape(xarray_data, "full_avg_st", ("qubit", "amp"), (len(qubits), len(amp_values))) expected_per_amp = amp_values * np.mean(frequencies) for i, a in enumerate(amp_values): - assert np.allclose(xarray_data["full_avg_st"].sel(amp=a), expected_per_amp[i]), f"full_avg_st(amp={a}): expected {expected_per_amp[i]}, got {xarray_data['full_avg_st'].sel(amp=a).values}" + assert_allclose_sel(xarray_data, "full_avg_st", expected_per_amp[i], amp=a) # Averaged-out coords (shot, frequency) should not appear in the dataset coords assert "shot" not in xarray_data.coords, f"'shot' should not be in coords after full averaging, got {list(xarray_data.coords)}" @@ -43,22 +39,18 @@ def test_multiple_streams_different_averages(qmm): assign(avg_shot, args.frequency * args.amp) assign(avg_both, args.frequency * args.amp) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) # avg_shot_st: shot averaged out → (qubit, frequency, amp) - assert xarray_data["avg_shot_st"].dims == ("qubit", "frequency", "amp"), f"avg_shot_st dims: expected ('qubit', 'frequency', 'amp'), got {xarray_data['avg_shot_st'].dims}" - assert xarray_data["avg_shot_st"].shape == (len(qubits), len(frequencies), len(amp_values)), f"avg_shot_st shape: expected {(len(qubits), len(frequencies), len(amp_values))}, got {xarray_data['avg_shot_st'].shape}" + assert_dims_and_shape(xarray_data, "avg_shot_st", ("qubit", "frequency", "amp"), (len(qubits), len(frequencies), len(amp_values))) for f in frequencies: for a in amp_values: - assert np.allclose(xarray_data["avg_shot_st"].sel(frequency=f, amp=a), a * f), f"avg_shot_st(frequency={f}, amp={a}): expected {a * f}, got {xarray_data['avg_shot_st'].sel(frequency=f, amp=a).values}" + assert_allclose_sel(xarray_data, "avg_shot_st", a * f, frequency=f, amp=a) # avg_both_st: shot and frequency averaged out → (qubit, amp) - assert xarray_data["avg_both_st"].dims == ("qubit", "amp"), f"avg_both_st dims: expected ('qubit', 'amp'), got {xarray_data['avg_both_st'].dims}" - assert xarray_data["avg_both_st"].shape == (len(qubits), len(amp_values)), f"avg_both_st shape: expected {(len(qubits), len(amp_values))}, got {xarray_data['avg_both_st'].shape}" + assert_dims_and_shape(xarray_data, "avg_both_st", ("qubit", "amp"), (len(qubits), len(amp_values))) expected_per_amp = amp_values * np.mean(frequencies) for i, a in enumerate(amp_values): - assert np.allclose(xarray_data["avg_both_st"].sel(amp=a), expected_per_amp[i]), f"avg_both_st(amp={a}): expected {expected_per_amp[i]}, got {xarray_data['avg_both_st'].sel(amp=a).values}" + assert_allclose_sel(xarray_data, "avg_both_st", expected_per_amp[i], amp=a) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py index ec6b38f1..2fe3040e 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_basic.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -3,10 +3,9 @@ from qm.qua import program, declare_with_stream, assign, fixed from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange -from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data -from tests.tests_qua_utilities.conftest import config from tests.tests_qua_utilities.fetch_xarray_helpers import ( - simulation_config, shots, frequencies, amp_start, amp_stop, amp_step, amp_values, qubits, make_product, + shots, frequencies, amp_start, amp_stop, amp_step, amp_values, qubits, + make_product, simulate_and_fetch, assert_dims_and_shape, assert_allclose_sel, ) @@ -19,22 +18,17 @@ def test_single_save(qmm): assign(single_save, args.shot) assign(single_save_avg, args.frequency * args.amp) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["shot_st"].dims == ("shot", "qubit", "frequency", "amp"), f"shot_st dims: expected ('shot', 'qubit', 'frequency', 'amp'), got {xarray_data['shot_st'].dims}" - assert xarray_data["shot_st"].shape == (shots, len(qubits), len(frequencies), len(amp_values)), f"shot_st shape: expected {(shots, len(qubits), len(frequencies), len(amp_values))}, got {xarray_data['shot_st'].shape}" - - assert xarray_data["shot_avg_st"].dims == ("qubit", "frequency", "amp"), f"shot_avg_st dims: expected ('qubit', 'frequency', 'amp'), got {xarray_data['shot_avg_st'].dims}" - assert xarray_data["shot_avg_st"].shape == (len(qubits), len(frequencies), len(amp_values)), f"shot_avg_st shape: expected {(len(qubits), len(frequencies), len(amp_values))}, got {xarray_data['shot_avg_st'].shape}" + assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency", "amp"), (shots, len(qubits), len(frequencies), len(amp_values))) + assert_dims_and_shape(xarray_data, "shot_avg_st", ("qubit", "frequency", "amp"), (len(qubits), len(frequencies), len(amp_values))) for i in range(shots): assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" for f in frequencies: for a in amp_values: - assert np.allclose(xarray_data["shot_avg_st"].sel(frequency=f, amp=a), a * f), f"shot_avg_st(frequency={f}, amp={a}): expected {a * f}, got {xarray_data['shot_avg_st'].sel(frequency=f, amp=a).values}" + assert_allclose_sel(xarray_data, "shot_avg_st", a * f, frequency=f, amp=a) def test_no_native_iterables(qmm): @@ -49,12 +43,9 @@ def test_no_native_iterables(qmm): s = declare_with_stream(int, "shot_st") assign(s, args.shot) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["shot_st"].dims == ("shot", "frequency"), f"shot_st dims: expected ('shot', 'frequency'), got {xarray_data['shot_st'].dims}" - assert xarray_data["shot_st"].shape == (n_shots, len(frequencies)), f"shot_st shape: expected {(n_shots, len(frequencies))}, got {xarray_data['shot_st'].shape}" + assert_dims_and_shape(xarray_data, "shot_st", ("shot", "frequency"), (n_shots, len(frequencies))) for i in range(n_shots): assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" @@ -71,20 +62,16 @@ def test_no_qua_iterables(qmm): s = declare_with_stream(fixed, "amp_st") assign(s, args.amp) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["amp_st"].dims == ("qubit", "amp"), f"amp_st dims: expected ('qubit', 'amp'), got {xarray_data['amp_st'].dims}" - assert xarray_data["amp_st"].shape == (len(qubits), len(amp_values)), f"amp_st shape: expected {(len(qubits), len(amp_values))}, got {xarray_data['amp_st'].shape}" + assert_dims_and_shape(xarray_data, "amp_st", ("qubit", "amp"), (len(qubits), len(amp_values))) for a in amp_values: - assert np.allclose(xarray_data["amp_st"].sel(amp=a), a), f"amp_st(amp={a}): expected {a}, got {xarray_data['amp_st'].sel(amp=a).values}" + assert_allclose_sel(xarray_data, "amp_st", a, amp=a) - # Verify each native product combo maps to the correct value - for q_idx, q in enumerate(qubits): - for a_idx, a in enumerate(amp_values): - assert np.allclose(xarray_data["amp_st"].sel(qubit=q, amp=a), a), f"amp_st(qubit={q}, amp={a}): expected {a}, got {xarray_data['amp_st'].sel(qubit=q, amp=a).values}" + for q in qubits: + for a in amp_values: + assert_allclose_sel(xarray_data, "amp_st", a, qubit=q, amp=a) def test_pass_as_list(qmm): @@ -100,12 +87,9 @@ def test_pass_as_list(qmm): s = declare_with_stream(int, "shot_st") assign(s, args.shot) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, sweep_list) + xarray_data = simulate_and_fetch(qmm, prog, sweep_list) - assert xarray_data["shot_st"].dims == ("shot", "qubit", "frequency"), f"shot_st dims: expected ('shot', 'qubit', 'frequency'), got {xarray_data['shot_st'].dims}" - assert xarray_data["shot_st"].shape == (10, len(qubits), len(frequencies)), f"shot_st shape: expected {(10, len(qubits), len(frequencies))}, got {xarray_data['shot_st'].shape}" + assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency"), (10, len(qubits), len(frequencies))) for i in range(10): assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" @@ -127,18 +111,16 @@ def test_interleaved_dim_ordering(qmm): assign(s_shot, args.shot) assign(s_freq, args.frequency) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["shot_st"].dims == ("shot", "qubit", "frequency", "amp"), f"shot_st dims: expected ('shot', 'qubit', 'frequency', 'amp'), got {xarray_data['shot_st'].dims}" - assert xarray_data["freq_st"].dims == ("shot", "qubit", "frequency", "amp"), f"freq_st dims: expected ('shot', 'qubit', 'frequency', 'amp'), got {xarray_data['freq_st'].dims}" + assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency", "amp"), (n_shots, len(qubits), len(frequencies), len(amp_values))) + assert_dims_and_shape(xarray_data, "freq_st", ("shot", "qubit", "frequency", "amp"), (n_shots, len(qubits), len(frequencies), len(amp_values))) for i in range(n_shots): assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" for f in frequencies: - assert np.allclose(xarray_data["freq_st"].sel(frequency=f), f), f"freq_st(frequency={f}): expected all values to be {f}, got {xarray_data['freq_st'].sel(frequency=f).values}" + assert_allclose_sel(xarray_data, "freq_st", f, frequency=f) def test_coordinate_values(qmm): @@ -149,9 +131,7 @@ def test_coordinate_values(qmm): s = declare_with_stream(int, "shot_st") assign(s, args.shot) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) assert np.array_equal(xarray_data.coords["shot"].values, np.arange(shots)), f"shot coords: expected {np.arange(shots)}, got {xarray_data.coords['shot'].values}" assert np.array_equal(xarray_data.coords["qubit"].values, qubits), f"qubit coords: expected {qubits}, got {xarray_data.coords['qubit'].values}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py index e5d79970..e12abe0d 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py @@ -1,13 +1,10 @@ -import numpy as np import pytest from qm.qua import program, declare_with_stream, measure, dual_demod, assign, fixed from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange -from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data -from tests.tests_qua_utilities.conftest import config from tests.tests_qua_utilities.fetch_xarray_helpers import ( - simulation_config, frequencies, amp_start, amp_stop, amp_step, make_product, + frequencies, amp_start, amp_stop, amp_step, make_product, simulate_and_fetch, assert_dims_and_shape, ) @@ -19,11 +16,8 @@ def test_multi_save_raises(qmm): assign(multi_save, args.shot) assign(multi_save, args.shot + 1) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - with pytest.raises(ValueError, match="Expected qua iterators shape"): - fetch_xarray_data(job, prod) + simulate_and_fetch(qmm, prog, prod) def test_demod_np_void(qmm): @@ -37,12 +31,9 @@ def test_demod_np_void(qmm): I = declare_with_stream(fixed, "I_st") measure("readout", "resonator", None, dual_demod.full("cos", "sin", I)) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["I_st"].dims == ("shot", "qubit"), f"I_st dims: expected ('shot', 'qubit'), got {xarray_data['I_st'].dims}" - assert xarray_data["I_st"].shape == (10, 1), f"I_st shape: expected (10, 1), got {xarray_data['I_st'].shape}" + assert_dims_and_shape(xarray_data, "I_st", ("shot", "qubit"), (10, 1)) def test_units_metadata(qmm): @@ -57,9 +48,7 @@ def test_units_metadata(qmm): s = declare_with_stream(float, "val_st", average_axes=["shot"]) assign(s, args.frequency) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) assert xarray_data.coords["frequency"].attrs["unit"] == "Hz", f"frequency unit: expected 'Hz', got {xarray_data.coords['frequency'].attrs.get('unit')}" assert xarray_data.coords["amp"].attrs["unit"] == "V", f"amp unit: expected 'V', got {xarray_data.coords['amp'].attrs.get('unit')}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_zip.py b/tests/tests_qua_utilities/test_fetch_xarray_zip.py index e9692cd4..96b1a1f4 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_zip.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_zip.py @@ -1,13 +1,10 @@ import numpy as np -from qm import generate_qua_script from qm.qua import program, declare_with_stream, assign, fixed from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange, QuaZip -from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data -from tests.tests_qua_utilities.conftest import config from tests.tests_qua_utilities.fetch_xarray_helpers import ( - simulation_config, frequencies, qubits, + frequencies, qubits, simulate_and_fetch, assert_dims_and_shape, ) @@ -26,13 +23,9 @@ def test_qua_zip_native(qmm): s = declare_with_stream(int, "val_st") assign(s, args.shot) - print(generate_qua_script(prog)) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["val_st"].dims == ("shot", "qb_amp", "frequency"), f"val_st dims: expected ('shot', 'qb_amp', 'frequency'), got {xarray_data['val_st'].dims}" - assert xarray_data["val_st"].shape == (10, len(native_zip_values), len(frequencies)), f"val_st shape: expected {(10, len(native_zip_values), len(frequencies))}, got {xarray_data['val_st'].shape}" + assert_dims_and_shape(xarray_data, "val_st", ("shot", "qb_amp", "frequency"), (10, len(native_zip_values), len(frequencies))) for i in range(10): assert (xarray_data["val_st"][i] == i).all(), f"val_st[{i}]: expected all values to be {i}, got {xarray_data['val_st'][i].values}" @@ -52,12 +45,9 @@ def test_qua_zip_qua(qmm): s = declare_with_stream(fixed, "freq_st") assign(s, args.freq_tau.frequency) - job = qmm.simulate(config, prog, simulation_config) - job.result_handles.wait_for_all_values() - xarray_data = fetch_xarray_data(job, prod) + xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data["freq_st"].dims == ("freq_tau", "qubit"), f"freq_st dims: expected ('freq_tau', 'qubit'), got {xarray_data['freq_st'].dims}" - assert xarray_data["freq_st"].shape == (len(frequencies), len(qubits)), f"freq_st shape: expected {(len(frequencies), len(qubits))}, got {xarray_data['freq_st'].shape}" + assert_dims_and_shape(xarray_data, "freq_st", ("freq_tau", "qubit"), (len(frequencies), len(qubits))) for i, f in enumerate(frequencies): assert np.allclose(xarray_data["freq_st"][i], f), f"freq_st[{i}]: expected all values to be {f}, got {xarray_data['freq_st'][i].values}" From 86fd606f5eae5f51139b2dbe5c33a38b0846cac3 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 12 Apr 2026 09:52:39 +0300 Subject: [PATCH 10/27] qm qua 1.3.0 --- poetry.lock | 13 +++++-------- pyproject.toml | 2 +- 2 files changed, 6 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index fb948a55..a7334c76 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4299,13 +4299,14 @@ files = [ [[package]] name = "qm-qua" -version = "1.2.3" +version = "1.3.0a1" description = "QUA language SDK to control a Quantum Computer" optional = false -python-versions = ">=3.9,<3.14" +python-versions = "<3.14,>=3.9" groups = ["main"] files = [ - {file = "qm_qua-1.2.3-py3-none-any.whl", hash = "sha256:bac2e1eb68b143b51fbdaddaf433d52c149d2cea5e9685e306e500bb1f6ca884"}, + {file = "qm_qua-1.3.0a1-py3-none-any.whl", hash = "sha256:1fe6baf8d83f4eefc6f97cb2b5d82e6fd7f892f5ffdb9960ec07a75de00c0cd3"}, + {file = "qm_qua-1.3.0a1.tar.gz", hash = "sha256:33f77f8724ec983e3cb1335526f8378a04ed3b80de0763b065206cf6648b7cda"}, ] [package.dependencies] @@ -4324,10 +4325,6 @@ typing-extensions = ">=4.5,<5.0" [package.extras] simulation = ["certifi"] -[package.source] -type = "file" -url = "../qm-qua-sdk/dist/qm_qua-1.2.3-py3-none-any.whl" - [[package]] name = "qm-saas" version = "1.1.7" @@ -5179,4 +5176,4 @@ two-qubit-rb = ["cirq", "cirq", "tqdm", "xarray"] [metadata] lock-version = "2.1" python-versions = ">=3.9, <3.13" -content-hash = "1d1cc9794fa580234e465583efeef3cfb5399c53d680b0e7695793290fb17460" +content-hash = "350ef70847e54dd88532716e260beea39bf288b43c37e7cc0455f2065f5d265d" diff --git a/pyproject.toml b/pyproject.toml index a4e2b2bc..642e639a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ homepage = "https://github.com/qua-platform/py-qua-tools" python = ">=3.9, <3.13" matplotlib = "^3.8.0" numpy = "<3" -qm-qua = {path = "../qm-qua-sdk/dist/qm_qua-1.2.3-py3-none-any.whl"} +qm-qua = ">=1.3.0a1" scipy = ">=1.11.0" scikit-learn = ">=1.5.0" grpclib = "0.4.5" From 5e2f39187330d1865d429fc3da3dc231c0a325de Mon Sep 17 00:00:00 2001 From: natangqm Date: Thu, 16 Apr 2026 11:26:02 +0300 Subject: [PATCH 11/27] pr comments --- .github/workflows/on-pull-request.yml | 2 +- qualang_tools/results/README.md | 6 + qualang_tools/results/__init__.py | 3 +- .../sweep_program_processing/README.md | 128 ++++++++++++++++++ .../sweep_program_processing/__init__.py | 0 .../qua_iterable_postprocess.py | 0 tests/tests_qua_utilities/conftest.py | 38 ++++-- .../fetch_xarray_helpers.py | 2 +- 8 files changed, 165 insertions(+), 14 deletions(-) create mode 100644 qualang_tools/results/sweep_program_processing/README.md create mode 100644 qualang_tools/results/sweep_program_processing/__init__.py rename qualang_tools/{loops => results/sweep_program_processing}/qua_iterable_postprocess.py (100%) diff --git a/.github/workflows/on-pull-request.yml b/.github/workflows/on-pull-request.yml index 0e0bfbf3..f924fa49 100644 --- a/.github/workflows/on-pull-request.yml +++ b/.github/workflows/on-pull-request.yml @@ -48,7 +48,7 @@ jobs: run: poetry run poe lint - name: Run tests - run: poetry run poe test --junitxml=test-results-${{ matrix.python-version }}.xml + run: poetry run poe test --junitxml=test-results-${{ matrix.python-version }}.xml --cloudsim-host "${{ secrets.CI_CLOUD_SIMULATOR_HOST }}" --cloudsim-pwd "${{ secrets.CI_CLOUD_SIMULATOR_PASSWORD }}" --cloudsim-email "${{ secrets.CI_CLOUD_SIMULATOR_USER_EMAIL }}" - name: Build run: poetry build diff --git a/qualang_tools/results/README.md b/qualang_tools/results/README.md index 6d13ded6..7fac687b 100644 --- a/qualang_tools/results/README.md +++ b/qualang_tools/results/README.md @@ -162,6 +162,12 @@ for i in range(len(freqs_external)): # Loop over the LO frequencies ... ``` +## Sweep Program Processing + +Tools for fetching QUA program results as structured [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) objects, with axes automatically labelled according to the sweep dimensions. + +See [sweep_program_processing/README.md](sweep_program_processing/README.md) for full documentation. + ## Data handler The `DataHandler` is used to easily save data once a measurement has been performed. diff --git a/qualang_tools/results/__init__.py b/qualang_tools/results/__init__.py index 0b145c32..71e54d20 100644 --- a/qualang_tools/results/__init__.py +++ b/qualang_tools/results/__init__.py @@ -3,5 +3,6 @@ from qualang_tools.results.results import wait_until_job_is_paused from qualang_tools.results.data_handler import DataHandler, data_processors +from qualang_tools.results.sweep_program_processing.qua_iterable_postprocess import fetch_xarray_data -__all__ = ["fetching_tool", "progress_counter", "wait_until_job_is_paused", "DataHandler", "data_processors"] +__all__ = ["fetching_tool", "progress_counter", "wait_until_job_is_paused", "DataHandler", "data_processors", "fetch_xarray_data"] diff --git a/qualang_tools/results/sweep_program_processing/README.md b/qualang_tools/results/sweep_program_processing/README.md new file mode 100644 index 00000000..624b93bc --- /dev/null +++ b/qualang_tools/results/sweep_program_processing/README.md @@ -0,0 +1,128 @@ +## fetch_xarray_data + +`fetch_xarray_data` fetches results from a completed QUA job and returns them as an [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html), with each result stream automatically shaped and labelled according to the sweep dimensions. + +It accepts the sweep as either a plain list of iterables or a `QuaProduct` (both are created with qm-qua >= 1.3.0 iterables). The function handles reassembling per-index streams produced by native iterables, and transposes axes so that dimension ordering in the returned Dataset always matches the original sweep order. + +**Requirements:** `xarray >= 2024.1`, `qm-qua >= 1.3.0` + +### Basic usage + +The simplest way to use `fetch_xarray_data` is to pass your sweep as a plain list of iterables — the same list you passed to `QuaProduct` to drive the program: + +```python +import numpy as np +from qm.qua import program, declare_with_stream, assign, fixed +from qm.qua.extensions.qua_iterators import ( + QuaProduct, QuaIterableRange, NativeIterable, QuaIterable, +) +from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data + +frequencies = np.linspace(100e6, 200e6, 11) +qubits = ["q1", "q2", "q3"] +n_shots = 100 + +sweep = [ + QuaIterableRange("shot", n_shots), # QUA iterable: averaged over on-FPGA if desired + NativeIterable("qubit", qubits), # native iterable: loops in Python + QuaIterable("frequency", frequencies), # QUA iterable +] + +with program() as prog: + for args in QuaProduct(sweep): + I = declare_with_stream(fixed, "I") + assign(I, args.frequency) # store something per sweep point + +job = qm.execute(prog) +job.result_handles.wait_for_all_values() + +ds = fetch_xarray_data(job, sweep) +# ds is an xr.Dataset with a variable "I" of shape (100, 3, 11) +# and coordinates: shot=[0..99], qubit=["q1","q2","q3"], frequency=[100e6..200e6] +print(ds) +``` + +### Stream averaging + +When a stream is declared with `average_axes`, the averaged dimensions are dropped from the returned Dataset. Other streams in the same sweep retain their full dimensionality. + +```python +sweep = [ + QuaIterableRange("shot", 100), + NativeIterable("qubit", ["q1", "q2"]), + QuaIterable("frequency", np.linspace(100e6, 200e6, 11)), +] + +with program() as prog: + for args in QuaProduct(sweep): + raw = declare_with_stream(fixed, "I_raw") + avg = declare_with_stream(float, "I_avg", average_axes=["shot"]) + assign(raw, args.frequency) + assign(avg, args.frequency) + +ds = fetch_xarray_data(job, sweep) +# ds["I_raw"]: dims (shot, qubit, frequency), shape (100, 2, 11) +# ds["I_avg"]: dims (qubit, frequency), shape (2, 11) — shot averaged out +``` + +### Coordinate metadata (units) + +Pass a `metadata` dict with a `"unit"` key to any iterable to have that unit attached to the corresponding coordinate in the Dataset: + +```python +sweep = [ + QuaIterableRange("shot", 100), + QuaIterable("frequency", np.linspace(100e6, 200e6, 11), metadata={"unit": "Hz"}), + NativeIterable("qubit", ["q1", "q2"], metadata={"unit": "qubit_id"}), +] + +ds = fetch_xarray_data(job, sweep) +print(ds.coords["frequency"].attrs["unit"]) # "Hz" +``` + +### Blocking until the job finishes + +Pass `wait_until_done=True` to block inside `fetch_xarray_data` rather than waiting manually: + +```python +ds = fetch_xarray_data(job, sweep, wait_until_done=True) +``` + +### QuaZip support + +`QuaZip` groups multiple iterables that advance together (zipped, not a full product). The zip group is treated as a single dimension named by the `QuaZip`'s `name` argument: + +```python +from qm.qua.extensions.qua_iterators import QuaZip + +sweep = [ + QuaIterableRange("shot", 10), + QuaZip([ + NativeIterable("qubit", ["q1", "q2", "q3"]), + NativeIterable("flux", [0.1, 0.2, 0.3]), + ], name="qb_flux"), + QuaIterable("frequency", frequencies), +] + +ds = fetch_xarray_data(job, sweep) +# ds["my_stream"]: dims (shot, qb_flux, frequency), shape (10, 3, 11) +``` + +### Passing a QuaProduct directly + +If you already hold a `QuaProduct` object (e.g. because you constructed it before the program), you can pass it directly — `fetch_xarray_data` accepts either form: + +```python +sweep = QuaProduct([ + QuaIterableRange("shot", n_shots), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), +]) + +with program() as prog: + for args in sweep: + I = declare_with_stream(fixed, "I") + assign(I, args.frequency) + +ds = fetch_xarray_data(job, sweep) # QuaProduct passed directly +``` \ No newline at end of file diff --git a/qualang_tools/results/sweep_program_processing/__init__.py b/qualang_tools/results/sweep_program_processing/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/qualang_tools/loops/qua_iterable_postprocess.py b/qualang_tools/results/sweep_program_processing/qua_iterable_postprocess.py similarity index 100% rename from qualang_tools/loops/qua_iterable_postprocess.py rename to qualang_tools/results/sweep_program_processing/qua_iterable_postprocess.py diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py index 8209e70a..998fcbf9 100644 --- a/tests/tests_qua_utilities/conftest.py +++ b/tests/tests_qua_utilities/conftest.py @@ -6,7 +6,6 @@ from qm.quantum_machines_manager import QuantumMachinesManager from qm import FullQuaConfig -CLOUD_SIM_HOST = "qm-saas.quantum-machines.co" HOST_IP = "localhost" READOUT_LEN = 100 FEM_IDX = 6 @@ -83,16 +82,22 @@ def pytest_addoption(parser): default="v3_6_0", help="Cloud simulator QOP version to use for the tests - e.g., v3_5_0, v3_6_0, default: local for local simulator" ) + parser.addoption( + "--cloudsim-host", + action="store", + default=None, + help="Cloud simulator host" + ) parser.addoption( "--cloudsim-pwd", action="store", - default="jG4yUA9YTqcYHBVsVenf", + default=None, help="Cloud simulator password" ) parser.addoption( "--cloudsim-email", action="store", - default="qm_devops@quantum-machines.co", + default=None, help="Cloud simulator user email" ) @@ -102,24 +107,35 @@ def qop_cloud_sim_version(request: pytest.FixtureRequest) -> Optional[str]: return request.config.getoption("--qop-version") @pytest.fixture(scope="session") -def cloud_sim_pwd(request: pytest.FixtureRequest) -> Optional[str] : - """Fixture that returns the version passed with --qop-version (string or None).""" - return request.config.getoption("--cloudsim-pwd") +def cloud_sim_host(request: pytest.FixtureRequest) -> str: + host = request.config.getoption("--cloudsim-host") + if host is None: + raise ValueError("--cloudsim-host is required. Pass it directly or via the CI_CLOUD_SIMULATOR_HOST secret.") + return host @pytest.fixture(scope="session") -def cloud_sim_email(request: pytest.FixtureRequest) -> Optional[str] : - """Fixture that returns the version passed with --qop-version (string or None).""" - return request.config.getoption("--cloudsim-email") +def cloud_sim_pwd(request: pytest.FixtureRequest) -> str: + pwd = request.config.getoption("--cloudsim-pwd") + if pwd is None: + raise ValueError("--cloudsim-pwd is required. Pass it directly or via the CI_CLOUD_SIMULATOR_PASSWORD secret.") + return pwd + +@pytest.fixture(scope="session") +def cloud_sim_email(request: pytest.FixtureRequest) -> str: + email = request.config.getoption("--cloudsim-email") + if email is None: + raise ValueError("--cloudsim-email is required. Pass it directly or via the CI_CLOUD_SIMULATOR_USER_EMAIL secret.") + return email def get_local_qmm() -> QuantumMachinesManager: return QuantumMachinesManager(host=HOST_IP, port=9510) @pytest.fixture(scope="session") def qmm( - qop_cloud_sim_version: str, cloud_sim_pwd: str, cloud_sim_email: str + qop_cloud_sim_version: str, cloud_sim_pwd: str, cloud_sim_email: str, cloud_sim_host: str ) -> Generator[QuantumMachinesManager, None, None]: if qop_cloud_sim_version != "local": - client = QmSaas(email=cloud_sim_email, password=cloud_sim_pwd, host=CLOUD_SIM_HOST) + client = QmSaas(email=cloud_sim_email, password=cloud_sim_pwd, host=cloud_sim_host) with client.simulator(qop_cloud_sim_version) as sim_instance: qmm = QuantumMachinesManager( host=sim_instance.host, diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py index e9221f14..540a4639 100644 --- a/tests/tests_qua_utilities/fetch_xarray_helpers.py +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -7,7 +7,7 @@ from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase from qm import SimulationConfig, LoopbackInterface -from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data +from qualang_tools.results import fetch_xarray_data from tests.tests_qua_utilities.conftest import config From 127731ebcbb2351f6b8602b24e5dfb4b787f9f63 Mon Sep 17 00:00:00 2001 From: natangqm Date: Thu, 16 Apr 2026 11:28:33 +0300 Subject: [PATCH 12/27] format --- qualang_tools/results/__init__.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/qualang_tools/results/__init__.py b/qualang_tools/results/__init__.py index 71e54d20..3a08127a 100644 --- a/qualang_tools/results/__init__.py +++ b/qualang_tools/results/__init__.py @@ -5,4 +5,11 @@ from qualang_tools.results.data_handler import DataHandler, data_processors from qualang_tools.results.sweep_program_processing.qua_iterable_postprocess import fetch_xarray_data -__all__ = ["fetching_tool", "progress_counter", "wait_until_job_is_paused", "DataHandler", "data_processors", "fetch_xarray_data"] +__all__ = [ + "fetching_tool", + "progress_counter", + "wait_until_job_is_paused", + "DataHandler", + "data_processors", + "fetch_xarray_data", +] From 970a539a27aa809b52962db16dd6cdc0e5b58a70 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 10 May 2026 16:25:06 +0300 Subject: [PATCH 13/27] rename sweep --- qualang_tools/results/README.md | 6 +- qualang_tools/results/__init__.py | 2 +- .../README.md | 256 +++++++++--------- .../__init__.py | 0 .../qua_iterable_postprocess.py | 40 +-- .../fetch_xarray_helpers.py | 4 +- .../test_fetch_xarray_basic.py | 8 +- 7 files changed, 158 insertions(+), 158 deletions(-) rename qualang_tools/results/{sweep_program_processing => qua_iterables_processing}/README.md (72%) rename qualang_tools/results/{sweep_program_processing => qua_iterables_processing}/__init__.py (100%) rename qualang_tools/results/{sweep_program_processing => qua_iterables_processing}/qua_iterable_postprocess.py (77%) diff --git a/qualang_tools/results/README.md b/qualang_tools/results/README.md index 7fac687b..bae5d807 100644 --- a/qualang_tools/results/README.md +++ b/qualang_tools/results/README.md @@ -162,11 +162,11 @@ for i in range(len(freqs_external)): # Loop over the LO frequencies ... ``` -## Sweep Program Processing +## QUA Iterables Processing -Tools for fetching QUA program results as structured [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) objects, with axes automatically labelled according to the sweep dimensions. +Tools for fetching QUA program results as structured [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) objects, with axes automatically labelled according to the QUA iterables. -See [sweep_program_processing/README.md](sweep_program_processing/README.md) for full documentation. +See [qua_iterables_processing/README.md](qua_iterables_processing/README.md) for full documentation. ## Data handler diff --git a/qualang_tools/results/__init__.py b/qualang_tools/results/__init__.py index 3a08127a..71178f54 100644 --- a/qualang_tools/results/__init__.py +++ b/qualang_tools/results/__init__.py @@ -3,7 +3,7 @@ from qualang_tools.results.results import wait_until_job_is_paused from qualang_tools.results.data_handler import DataHandler, data_processors -from qualang_tools.results.sweep_program_processing.qua_iterable_postprocess import fetch_xarray_data +from qualang_tools.results.qua_iterables_processing.qua_iterable_postprocess import fetch_xarray_data __all__ = [ "fetching_tool", diff --git a/qualang_tools/results/sweep_program_processing/README.md b/qualang_tools/results/qua_iterables_processing/README.md similarity index 72% rename from qualang_tools/results/sweep_program_processing/README.md rename to qualang_tools/results/qua_iterables_processing/README.md index 624b93bc..2c0448ee 100644 --- a/qualang_tools/results/sweep_program_processing/README.md +++ b/qualang_tools/results/qua_iterables_processing/README.md @@ -1,128 +1,128 @@ -## fetch_xarray_data - -`fetch_xarray_data` fetches results from a completed QUA job and returns them as an [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html), with each result stream automatically shaped and labelled according to the sweep dimensions. - -It accepts the sweep as either a plain list of iterables or a `QuaProduct` (both are created with qm-qua >= 1.3.0 iterables). The function handles reassembling per-index streams produced by native iterables, and transposes axes so that dimension ordering in the returned Dataset always matches the original sweep order. - -**Requirements:** `xarray >= 2024.1`, `qm-qua >= 1.3.0` - -### Basic usage - -The simplest way to use `fetch_xarray_data` is to pass your sweep as a plain list of iterables — the same list you passed to `QuaProduct` to drive the program: - -```python -import numpy as np -from qm.qua import program, declare_with_stream, assign, fixed -from qm.qua.extensions.qua_iterators import ( - QuaProduct, QuaIterableRange, NativeIterable, QuaIterable, -) -from qualang_tools.loops.qua_iterable_postprocess import fetch_xarray_data - -frequencies = np.linspace(100e6, 200e6, 11) -qubits = ["q1", "q2", "q3"] -n_shots = 100 - -sweep = [ - QuaIterableRange("shot", n_shots), # QUA iterable: averaged over on-FPGA if desired - NativeIterable("qubit", qubits), # native iterable: loops in Python - QuaIterable("frequency", frequencies), # QUA iterable -] - -with program() as prog: - for args in QuaProduct(sweep): - I = declare_with_stream(fixed, "I") - assign(I, args.frequency) # store something per sweep point - -job = qm.execute(prog) -job.result_handles.wait_for_all_values() - -ds = fetch_xarray_data(job, sweep) -# ds is an xr.Dataset with a variable "I" of shape (100, 3, 11) -# and coordinates: shot=[0..99], qubit=["q1","q2","q3"], frequency=[100e6..200e6] -print(ds) -``` - -### Stream averaging - -When a stream is declared with `average_axes`, the averaged dimensions are dropped from the returned Dataset. Other streams in the same sweep retain their full dimensionality. - -```python -sweep = [ - QuaIterableRange("shot", 100), - NativeIterable("qubit", ["q1", "q2"]), - QuaIterable("frequency", np.linspace(100e6, 200e6, 11)), -] - -with program() as prog: - for args in QuaProduct(sweep): - raw = declare_with_stream(fixed, "I_raw") - avg = declare_with_stream(float, "I_avg", average_axes=["shot"]) - assign(raw, args.frequency) - assign(avg, args.frequency) - -ds = fetch_xarray_data(job, sweep) -# ds["I_raw"]: dims (shot, qubit, frequency), shape (100, 2, 11) -# ds["I_avg"]: dims (qubit, frequency), shape (2, 11) — shot averaged out -``` - -### Coordinate metadata (units) - -Pass a `metadata` dict with a `"unit"` key to any iterable to have that unit attached to the corresponding coordinate in the Dataset: - -```python -sweep = [ - QuaIterableRange("shot", 100), - QuaIterable("frequency", np.linspace(100e6, 200e6, 11), metadata={"unit": "Hz"}), - NativeIterable("qubit", ["q1", "q2"], metadata={"unit": "qubit_id"}), -] - -ds = fetch_xarray_data(job, sweep) -print(ds.coords["frequency"].attrs["unit"]) # "Hz" -``` - -### Blocking until the job finishes - -Pass `wait_until_done=True` to block inside `fetch_xarray_data` rather than waiting manually: - -```python -ds = fetch_xarray_data(job, sweep, wait_until_done=True) -``` - -### QuaZip support - -`QuaZip` groups multiple iterables that advance together (zipped, not a full product). The zip group is treated as a single dimension named by the `QuaZip`'s `name` argument: - -```python -from qm.qua.extensions.qua_iterators import QuaZip - -sweep = [ - QuaIterableRange("shot", 10), - QuaZip([ - NativeIterable("qubit", ["q1", "q2", "q3"]), - NativeIterable("flux", [0.1, 0.2, 0.3]), - ], name="qb_flux"), - QuaIterable("frequency", frequencies), -] - -ds = fetch_xarray_data(job, sweep) -# ds["my_stream"]: dims (shot, qb_flux, frequency), shape (10, 3, 11) -``` - -### Passing a QuaProduct directly - -If you already hold a `QuaProduct` object (e.g. because you constructed it before the program), you can pass it directly — `fetch_xarray_data` accepts either form: - -```python -sweep = QuaProduct([ - QuaIterableRange("shot", n_shots), - NativeIterable("qubit", qubits), - QuaIterable("frequency", frequencies), -]) - -with program() as prog: - for args in sweep: - I = declare_with_stream(fixed, "I") - assign(I, args.frequency) - -ds = fetch_xarray_data(job, sweep) # QuaProduct passed directly -``` \ No newline at end of file +## fetch_xarray_data + +`fetch_xarray_data` fetches results from a completed QUA job and returns them as an [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html), with each result stream automatically shaped and labelled according to the QUA iterables. + +It accepts the iterables as either a plain list of `IterableBase` objects or a `QuaProduct` (both are created with qm-qua >= 1.3.0 iterables). The function handles reassembling per-index streams produced by native iterables, and transposes axes so that dimension ordering in the returned Dataset always matches the original iteration order. + +**Requirements:** `xarray >= 2024.1`, `qm-qua >= 1.3.0` + +### Basic usage + +The simplest way to use `fetch_xarray_data` is to pass your iterables as a plain list — the same list you passed to `QuaProduct` to drive the program: + +```python +import numpy as np +from qm.qua import program, declare_with_stream, assign, fixed +from qm.qua.extensions.qua_iterators import ( + QuaProduct, QuaIterableRange, NativeIterable, QuaIterable, +) +from qualang_tools.results import fetch_xarray_data + +frequencies = np.linspace(100e6, 200e6, 11) +qubits = ["q1", "q2", "q3"] +n_shots = 100 + +iterables = [ + QuaIterableRange("shot", n_shots), # QUA iterable: averaged over on-FPGA if desired + NativeIterable("qubit", qubits), # native iterable: loops in Python + QuaIterable("frequency", frequencies), # QUA iterable +] + +with program() as prog: + for args in QuaProduct(iterables): + I = declare_with_stream(fixed, "I") + assign(I, args.frequency) # store something per iteration point + +job = qm.execute(prog) +job.result_handles.wait_for_all_values() + +ds = fetch_xarray_data(job, iterables) +# ds is an xr.Dataset with a variable "I" of shape (100, 3, 11) +# and coordinates: shot=[0..99], qubit=["q1","q2","q3"], frequency=[100e6..200e6] +print(ds) +``` + +### Stream averaging + +When a stream is declared with `average_axes`, the averaged dimensions are dropped from the returned Dataset. Other streams using the same iterables retain their full dimensionality. + +```python +iterables = [ + QuaIterableRange("shot", 100), + NativeIterable("qubit", ["q1", "q2"]), + QuaIterable("frequency", np.linspace(100e6, 200e6, 11)), +] + +with program() as prog: + for args in QuaProduct(iterables): + raw = declare_with_stream(fixed, "I_raw") + avg = declare_with_stream(float, "I_avg", average_axes=["shot"]) + assign(raw, args.frequency) + assign(avg, args.frequency) + +ds = fetch_xarray_data(job, iterables) +# ds["I_raw"]: dims (shot, qubit, frequency), shape (100, 2, 11) +# ds["I_avg"]: dims (qubit, frequency), shape (2, 11) — shot averaged out +``` + +### Coordinate metadata (units) + +Pass a `metadata` dict with a `"unit"` key to any iterable to have that unit attached to the corresponding coordinate in the Dataset: + +```python +iterables = [ + QuaIterableRange("shot", 100), + QuaIterable("frequency", np.linspace(100e6, 200e6, 11), metadata={"unit": "Hz"}), + NativeIterable("qubit", ["q1", "q2"], metadata={"unit": "qubit_id"}), +] + +ds = fetch_xarray_data(job, iterables) +print(ds.coords["frequency"].attrs["unit"]) # "Hz" +``` + +### Blocking until the job finishes + +Pass `wait_until_done=True` to block inside `fetch_xarray_data` rather than waiting manually: + +```python +ds = fetch_xarray_data(job, iterables, wait_until_done=True) +``` + +### QuaZip support + +`QuaZip` groups multiple iterables that advance together (zipped, not a full product). The zip group is treated as a single dimension named by the `QuaZip`'s `name` argument: + +```python +from qm.qua.extensions.qua_iterators import QuaZip + +iterables = [ + QuaIterableRange("shot", 10), + QuaZip([ + NativeIterable("qubit", ["q1", "q2", "q3"]), + NativeIterable("flux", [0.1, 0.2, 0.3]), + ], name="qb_flux"), + QuaIterable("frequency", frequencies), +] + +ds = fetch_xarray_data(job, iterables) +# ds["my_stream"]: dims (shot, qb_flux, frequency), shape (10, 3, 11) +``` + +### Passing a QuaProduct directly + +If you already hold a `QuaProduct` object (e.g. because you constructed it before the program), you can pass it directly — `fetch_xarray_data` accepts either form: + +```python +qua_product = QuaProduct([ + QuaIterableRange("shot", n_shots), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), +]) + +with program() as prog: + for args in qua_product: + I = declare_with_stream(fixed, "I") + assign(I, args.frequency) + +ds = fetch_xarray_data(job, qua_product) # QuaProduct passed directly +``` diff --git a/qualang_tools/results/sweep_program_processing/__init__.py b/qualang_tools/results/qua_iterables_processing/__init__.py similarity index 100% rename from qualang_tools/results/sweep_program_processing/__init__.py rename to qualang_tools/results/qua_iterables_processing/__init__.py diff --git a/qualang_tools/results/sweep_program_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py similarity index 77% rename from qualang_tools/results/sweep_program_processing/qua_iterable_postprocess.py rename to qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 58f7006e..6ae2cb3f 100644 --- a/qualang_tools/results/sweep_program_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -43,7 +43,7 @@ def _find_stream_name_from_full_stream_name(result_name, native_columns): raise ValueError(f"No native iterator match found in '{result_name}'") -def _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterables, native_itr): +def _extract_stream_data_with_native_iterables(results, qua_iterables, native_itr): native_columns = [_native_column_indices(itr) for itr in native_itr] stream_data = {} stream_with_native_itr = {} @@ -62,7 +62,7 @@ def _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterabl stacked = np.array(arrays) # Reshape flat combo dimension into native grid: (*native_dims, *non_native_dims) - non_avg_itr = [itr for itr in sweep_iterables if not itr.is_stream_averaged(stream_name)] + non_avg_itr = [itr for itr in qua_iterables if not itr.is_stream_averaged(stream_name)] non_native_shape = arrays[0].shape expected_non_native_shape = tuple([itr.buffer_size for itr in non_avg_itr if itr.is_qua_iterable]) @@ -73,7 +73,7 @@ def _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterabl else: result = stacked.reshape(*native_shape) - # Transpose so each dim sits at its original sweep position (among non-averaged only) + # Transpose so each dim sits at its original iteration position (among non-averaged only) # Current order after reshape: all native first, then non-native non-averaged current_order = native_itr + [itr for itr in non_avg_itr if itr.is_qua_iterable] perm = [current_order.index(itr) for itr in non_avg_itr] @@ -84,41 +84,41 @@ def _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterabl def fetch_xarray_data( job: JobApi, - sweep: Union[QuaProduct, Sequence[IterableBase]], + iterables: Union[QuaProduct, Sequence[IterableBase]], wait_until_done: bool = False, ) -> xr.Dataset: - """Fetch job results and organize them into an xarray Dataset aligned with sweep dimensions. + """Fetch job results and organize them into an xarray Dataset aligned with the QUA iterables. Retrieves all result streams from a completed QUA job and reshapes them according to - the sweep structure (product of iterables). Native iterables are reassembled from their - per-index streams into nd-arrays, and axes are transposed to match the original sweep - order. Each data variable in the returned Dataset is indexed only by the dimensions - that were not stream-averaged for that variable. Coordinate metadata (e.g. units) from - the iterables is attached to the corresponding Dataset coordinates. + the QUA iterables structure (product of iterables). Native iterables are reassembled + from their per-index streams into nd-arrays, and axes are transposed to match the + original iteration order. Each data variable in the returned Dataset is indexed only + by the dimensions that were not stream-averaged for that variable. Coordinate metadata + (e.g. units) from the iterables is attached to the corresponding Dataset coordinates. Args: job: A completed QUA job from which to fetch results. - sweep: The sweep definition used in the QUA program — either a ``QuaProduct`` + iterables: The QUA iterables used in the program — either a ``QuaProduct`` or a sequence of ``IterableBase`` objects. wait_until_done: If True, block until the job completes before fetching results. Defaults to False. Returns: An ``xr.Dataset`` where each data variable corresponds to a result stream, - dimensioned by the non-averaged sweep iterables, with coordinates and metadata - derived from the sweep definition. + dimensioned by the non-averaged QUA iterables, with coordinates and metadata + derived from the iterables. Raises: ValueError: If a result stream name cannot be matched to the expected native iterator suffixes, or if the non-native shape of a stream does not match - the expected shape from the sweep iterables. + the expected shape from the QUA iterables. """ - sweep_iterables = sweep.iterables if isinstance(sweep, QuaProduct) else sweep - native_itr = [itr for itr in sweep_iterables if not itr.is_qua_iterable] + qua_iterables = iterables.iterables if isinstance(iterables, QuaProduct) else iterables + native_itr = [itr for itr in qua_iterables if not itr.is_qua_iterable] results = job.result_handles.fetch_results(wait_until_done=wait_until_done) if native_itr: - stream_data = _extract_stream_data_from_sweep_with_native_iterables(results, sweep_iterables, native_itr) + stream_data = _extract_stream_data_with_native_iterables(results, qua_iterables, native_itr) else: stream_data = {} for res_name, value in results.items(): @@ -126,7 +126,7 @@ def fetch_xarray_data( # Build xarray Dataset — select only non-averaged dims per stream all_coords = {} - for itr in sweep_iterables: + for itr in qua_iterables: if isinstance(itr.values[0], tuple): coord = np.empty(len(itr.values), dtype=object) coord[:] = itr.values @@ -137,13 +137,13 @@ def fetch_xarray_data( data_vars = {} used_dims = set() for name, arr in stream_data.items(): - stream_dims = [itr.name for itr in sweep_iterables if not itr.is_stream_averaged(name)] + stream_dims = [itr.name for itr in qua_iterables if not itr.is_stream_averaged(name)] data_vars[name] = (stream_dims, arr) used_dims.update(stream_dims) coords = {k: v for k, v in all_coords.items() if k in used_dims} ds = xr.Dataset(data_vars, coords=coords) - for itr in sweep_iterables: + for itr in qua_iterables: unit = itr.metadata.get("unit", None) if unit is not None and itr.name in ds.coords: ds.coords[itr.name].attrs["unit"] = unit diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py index 540a4639..0588bd43 100644 --- a/tests/tests_qua_utilities/fetch_xarray_helpers.py +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -32,11 +32,11 @@ def make_product(): def simulate_and_fetch( - qmm, prog, sweep: Union[QuaProduct, Sequence[IterableBase]], + qmm, prog, iterables: Union[QuaProduct, Sequence[IterableBase]], ) -> xr.Dataset: job = qmm.simulate(config, prog, simulation_config) job.result_handles.wait_for_all_values() - return fetch_xarray_data(job, sweep) + return fetch_xarray_data(job, iterables) def assert_dims_and_shape( diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py index 2fe3040e..9efa25b2 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_basic.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -75,19 +75,19 @@ def test_no_qua_iterables(qmm): def test_pass_as_list(qmm): - """Pass sweep as a list of iterables instead of QuaProduct.""" - sweep_list = [ + """Pass iterables as a list instead of QuaProduct.""" + iterables = [ QuaIterableRange("shot", 10), NativeIterable("qubit", qubits), QuaIterable("frequency", frequencies), ] - prod = QuaProduct(sweep_list) + prod = QuaProduct(iterables) with program() as prog: for args in prod: s = declare_with_stream(int, "shot_st") assign(s, args.shot) - xarray_data = simulate_and_fetch(qmm, prog, sweep_list) + xarray_data = simulate_and_fetch(qmm, prog, iterables) assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency"), (10, len(qubits), len(frequencies))) From b6b52ffac961bd70dd029310a9817a67e452398e Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 10 May 2026 17:17:53 +0300 Subject: [PATCH 14/27] cleanup --- .../qua_iterables_processing/qua_iterable_postprocess.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 6ae2cb3f..8e124124 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -9,7 +9,7 @@ from qm.qua._dsl.stream_processing.direct_stream_processing import STREAM_NAME_SEPARATOR -def _native_column_indices(itr: IterableBase) -> list[int]: +def _itr_column_indices(itr: IterableBase) -> list[int]: """Get the stream-suffix indices for a native iterable. Stream names use the index of the native iteration, not the value. @@ -44,7 +44,7 @@ def _find_stream_name_from_full_stream_name(result_name, native_columns): def _extract_stream_data_with_native_iterables(results, qua_iterables, native_itr): - native_columns = [_native_column_indices(itr) for itr in native_itr] + native_columns = [_itr_column_indices(itr) for itr in native_itr] stream_data = {} stream_with_native_itr = {} for res_name, value in results.items(): From 370fbeb0eafa33caa36688499143ff915461c73a Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 24 May 2026 11:58:25 +0300 Subject: [PATCH 15/27] pr comments --- pyproject.toml | 7 ++--- .../qua_iterable_postprocess.py | 5 ++-- tests/tests_qua_utilities/conftest.py | 28 ++++++++----------- .../test_fetch_xarray_averaging.py | 5 ++++ .../test_fetch_xarray_basic.py | 13 +++++++++ .../test_fetch_xarray_edge_cases.py | 8 +++++- .../test_fetch_xarray_zip.py | 5 ++++ 7 files changed, 47 insertions(+), 24 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 53fbadc2..b8b4d2aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -46,7 +46,7 @@ docutils = { version = ">=0.14.0 <= 0.21", optional = true } waitress = { version = "^3.0.1", optional = true } # datahandler -xarray = { version = "^2023.0.0", optional = true } +xarray = "^2023.0.0" netCDF4 = { version = "^1.7.2", optional = true } # two-qubit-rb @@ -78,9 +78,8 @@ configbuilder = [ "docutils", "waitress", ] -datahandler = ["xarray", "netcdf4"] -loops = ["xarray"] -two-qubit-rb = ["xarray", "cirq", "tqdm"] +datahandler = ["netcdf4"] +two-qubit-rb = ["cirq", "tqdm"] [tool.black] line-length = 120 diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 8e124124..5629bcc6 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -71,6 +71,7 @@ def _extract_stream_data_with_native_iterables(results, qua_iterables, native_it raise ValueError(f"Expected qua iterators shape {expected_non_native_shape} got {non_native_shape}") result = stacked.reshape(*native_shape, *non_native_shape) else: + # Drop the trailing unit dimension added by np.array(arrays) when each element is a scalar result = stacked.reshape(*native_shape) # Transpose so each dim sits at its original iteration position (among non-averaged only) @@ -89,7 +90,7 @@ def fetch_xarray_data( ) -> xr.Dataset: """Fetch job results and organize them into an xarray Dataset aligned with the QUA iterables. - Retrieves all result streams from a completed QUA job and reshapes them according to + Retrieves all result streams from a QUA job and reshapes them according to the QUA iterables structure (product of iterables). Native iterables are reassembled from their per-index streams into nd-arrays, and axes are transposed to match the original iteration order. Each data variable in the returned Dataset is indexed only @@ -97,7 +98,7 @@ def fetch_xarray_data( (e.g. units) from the iterables is attached to the corresponding Dataset coordinates. Args: - job: A completed QUA job from which to fetch results. + job: A QUA job from which to fetch results. iterables: The QUA iterables used in the program — either a ``QuaProduct`` or a sequence of ``IterableBase`` objects. wait_until_done: If True, block until the job completes before fetching results. diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py index 998fcbf9..b41cc810 100644 --- a/tests/tests_qua_utilities/conftest.py +++ b/tests/tests_qua_utilities/conftest.py @@ -107,34 +107,28 @@ def qop_cloud_sim_version(request: pytest.FixtureRequest) -> Optional[str]: return request.config.getoption("--qop-version") @pytest.fixture(scope="session") -def cloud_sim_host(request: pytest.FixtureRequest) -> str: - host = request.config.getoption("--cloudsim-host") - if host is None: - raise ValueError("--cloudsim-host is required. Pass it directly or via the CI_CLOUD_SIMULATOR_HOST secret.") - return host +def cloud_sim_host(request: pytest.FixtureRequest) -> Optional[str]: + return request.config.getoption("--cloudsim-host") @pytest.fixture(scope="session") -def cloud_sim_pwd(request: pytest.FixtureRequest) -> str: - pwd = request.config.getoption("--cloudsim-pwd") - if pwd is None: - raise ValueError("--cloudsim-pwd is required. Pass it directly or via the CI_CLOUD_SIMULATOR_PASSWORD secret.") - return pwd +def cloud_sim_pwd(request: pytest.FixtureRequest) -> Optional[str]: + return request.config.getoption("--cloudsim-pwd") @pytest.fixture(scope="session") -def cloud_sim_email(request: pytest.FixtureRequest) -> str: - email = request.config.getoption("--cloudsim-email") - if email is None: - raise ValueError("--cloudsim-email is required. Pass it directly or via the CI_CLOUD_SIMULATOR_USER_EMAIL secret.") - return email +def cloud_sim_email(request: pytest.FixtureRequest) -> Optional[str]: + return request.config.getoption("--cloudsim-email") def get_local_qmm() -> QuantumMachinesManager: return QuantumMachinesManager(host=HOST_IP, port=9510) @pytest.fixture(scope="session") def qmm( - qop_cloud_sim_version: str, cloud_sim_pwd: str, cloud_sim_email: str, cloud_sim_host: str -) -> Generator[QuantumMachinesManager, None, None]: + qop_cloud_sim_version: str, cloud_sim_pwd: Optional[str], cloud_sim_email: Optional[str], cloud_sim_host: Optional[str] +) -> Generator[Optional[QuantumMachinesManager], None, None]: if qop_cloud_sim_version != "local": + if not all([cloud_sim_host, cloud_sim_pwd, cloud_sim_email]): + yield None + return client = QmSaas(email=cloud_sim_email, password=cloud_sim_pwd, host=cloud_sim_host) with client.simulator(qop_cloud_sim_version) as sim_instance: qmm = QuantumMachinesManager( diff --git a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py index 6fb3f709..4b45e046 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py @@ -1,3 +1,4 @@ +import pytest import numpy as np from qm.qua import program, declare_with_stream, assign @@ -10,6 +11,8 @@ def test_full_average(qmm): + if qmm is None: + pytest.skip("requires simulator available") prod = make_product() with program() as prog: for args in prod: @@ -31,6 +34,8 @@ def test_full_average(qmm): def test_multiple_streams_different_averages(qmm): """Two streams: one averages shot only, the other averages both shot and frequency.""" + if qmm is None: + pytest.skip("requires simulator available") prod = make_product() with program() as prog: for args in prod: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py index 9efa25b2..7484886c 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_basic.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -1,3 +1,4 @@ +import pytest import numpy as np from qm.qua import program, declare_with_stream, assign, fixed @@ -10,6 +11,8 @@ def test_single_save(qmm): + if qmm is None: + pytest.skip("requires simulator available") prod = make_product() with program() as prog: for args in prod: @@ -33,6 +36,8 @@ def test_single_save(qmm): def test_no_native_iterables(qmm): """Only qua iterables — exercises the no-native-columns branch.""" + if qmm is None: + pytest.skip("requires simulator available") n_shots = 10 prod = QuaProduct([ QuaIterableRange("shot", n_shots), @@ -53,6 +58,8 @@ def test_no_native_iterables(qmm): def test_no_qua_iterables(qmm): """Only native iterables — non_native_shape is empty.""" + if qmm is None: + pytest.skip("requires simulator available") prod = QuaProduct([ NativeIterable("qubit", qubits), NativeIterableRange("amp", amp_start, amp_stop, amp_step), @@ -76,6 +83,8 @@ def test_no_qua_iterables(qmm): def test_pass_as_list(qmm): """Pass iterables as a list instead of QuaProduct.""" + if qmm is None: + pytest.skip("requires simulator available") iterables = [ QuaIterableRange("shot", 10), NativeIterable("qubit", qubits), @@ -97,6 +106,8 @@ def test_pass_as_list(qmm): def test_interleaved_dim_ordering(qmm): """Interleaved native/qua iterables to verify transpose permutation correctness.""" + if qmm is None: + pytest.skip("requires simulator available") n_shots = 10 prod = QuaProduct([ QuaIterableRange("shot", n_shots), @@ -125,6 +136,8 @@ def test_interleaved_dim_ordering(qmm): def test_coordinate_values(qmm): """Verify that xarray coordinate values match the original iterable values.""" + if qmm is None: + pytest.skip("requires simulator available") prod = make_product() with program() as prog: for args in prod: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py index e12abe0d..9a64a86d 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py @@ -9,6 +9,8 @@ def test_multi_save_raises(qmm): + if qmm is None: + pytest.skip("requires simulator available") prod = make_product() with program() as prog: for args in prod: @@ -16,12 +18,14 @@ def test_multi_save_raises(qmm): assign(multi_save, args.shot) assign(multi_save, args.shot + 1) - with pytest.raises(ValueError, match="Expected qua iterators shape"): + with pytest.raises(ValueError): simulate_and_fetch(qmm, prog, prod) def test_demod_np_void(qmm): """Test np.void value handling from dual_demod measurement results.""" + if qmm is None: + pytest.skip("requires simulator available") prod = QuaProduct([ QuaIterableRange("shot", 10), NativeIterable("qubit", ["q1"]), @@ -37,6 +41,8 @@ def test_demod_np_void(qmm): def test_units_metadata(qmm): + if qmm is None: + pytest.skip("requires simulator available") prod = QuaProduct([ QuaIterableRange("shot", 10, metadata={"unit": "count"}), NativeIterable("qubit", ["q1"], metadata={"unit": "qubit_id"}), diff --git a/tests/tests_qua_utilities/test_fetch_xarray_zip.py b/tests/tests_qua_utilities/test_fetch_xarray_zip.py index 96b1a1f4..68d2afa4 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_zip.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_zip.py @@ -1,3 +1,4 @@ +import pytest import numpy as np from qm.qua import program, declare_with_stream, assign, fixed @@ -9,6 +10,8 @@ def test_qua_zip_native(qmm): + if qmm is None: + pytest.skip("requires simulator available") native_zip_values = ["q1", "q2", "q3"] prod = QuaProduct([ QuaIterableRange("shot", 10), @@ -32,6 +35,8 @@ def test_qua_zip_native(qmm): def test_qua_zip_qua(qmm): + if qmm is None: + pytest.skip("requires simulator available") tau_values = np.linspace(1, 7, 5) prod = QuaProduct([ QuaZip([ From b1c15598a862fcb93da31329467fb165a8ed94d8 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 31 May 2026 11:41:33 +0300 Subject: [PATCH 16/27] support latest for cloud sim --- tests/tests_qua_utilities/conftest.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py index b41cc810..a353459f 100644 --- a/tests/tests_qua_utilities/conftest.py +++ b/tests/tests_qua_utilities/conftest.py @@ -79,8 +79,8 @@ def pytest_addoption(parser): parser.addoption( "--qop-version", action="store", - default="v3_6_0", - help="Cloud simulator QOP version to use for the tests - e.g., v3_5_0, v3_6_0, default: local for local simulator" + default="latest", + help="Cloud simulator QOP version to use for the tests - e.g., v3_5_0, v3_6_0, latest, default: local for local simulator" ) parser.addoption( "--cloudsim-host", @@ -130,7 +130,8 @@ def qmm( yield None return client = QmSaas(email=cloud_sim_email, password=cloud_sim_pwd, host=cloud_sim_host) - with client.simulator(qop_cloud_sim_version) as sim_instance: + version = None if qop_cloud_sim_version == "latest" else qop_cloud_sim_version + with client.simulator(version) as sim_instance: qmm = QuantumMachinesManager( host=sim_instance.host, port=sim_instance.port, From 3751787753e6572638ff96d2753297e49ccb5777 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 09:17:39 +0300 Subject: [PATCH 17/27] support qm-qua<1.3 --- poetry.lock | 13 ++---- pyproject.toml | 2 +- .../qua_iterable_postprocess.py | 42 ++++++++++++++----- 3 files changed, 37 insertions(+), 20 deletions(-) diff --git a/poetry.lock b/poetry.lock index 2f76dff3..39865e7c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2265,7 +2265,6 @@ description = "Powerful data structures for data analysis, time series, and stat optional = false python-versions = ">=3.9" groups = ["main"] -markers = "(python_version >= \"3.10\" or extra == \"configbuilder\" or extra == \"datahandler\" or extra == \"loops\" or extra == \"two-qubit-rb\") and (extra == \"two-qubit-rb\" or extra == \"configbuilder\" or extra == \"datahandler\" or extra == \"loops\")" files = [ {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"}, {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"}, @@ -2804,7 +2803,6 @@ description = "World timezone definitions, modern and historical" optional = false python-versions = "*" groups = ["main"] -markers = "(python_version >= \"3.10\" or extra == \"configbuilder\" or extra == \"datahandler\" or extra == \"loops\" or extra == \"two-qubit-rb\") and (extra == \"two-qubit-rb\" or extra == \"configbuilder\" or extra == \"datahandler\" or extra == \"loops\")" files = [ {file = "pytz-2025.1-py2.py3-none-any.whl", hash = "sha256:89dd22dca55b46eac6eda23b2d72721bf1bdfef212645d81513ef5d03038de57"}, {file = "pytz-2025.1.tar.gz", hash = "sha256:c2db42be2a2518b28e65f9207c4d05e6ff547d1efa4086469ef855e4ab70178e"}, @@ -3434,7 +3432,6 @@ description = "Provider of IANA time zone data" optional = false python-versions = ">=2" groups = ["main"] -markers = "(python_version >= \"3.10\" or extra == \"configbuilder\" or extra == \"datahandler\" or extra == \"loops\" or extra == \"two-qubit-rb\") and (extra == \"two-qubit-rb\" or extra == \"configbuilder\" or extra == \"datahandler\" or extra == \"loops\")" files = [ {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"}, {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"}, @@ -3511,10 +3508,9 @@ watchdog = ["watchdog (>=2.3)"] name = "xarray" version = "2023.12.0" description = "N-D labeled arrays and datasets in Python" -optional = true +optional = false python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"datahandler\" or extra == \"loops\" or extra == \"two-qubit-rb\"" files = [ {file = "xarray-2023.12.0-py3-none-any.whl", hash = "sha256:3c22b6824681762b6c3fcad86dfd18960a617bccbc7f456ce21b43a20e455fb9"}, {file = "xarray-2023.12.0.tar.gz", hash = "sha256:4565dbc890de47e278346c44d6b33bb07d3427383e077a7ca8ab6606196fd433"}, @@ -3555,12 +3551,11 @@ type = ["pytest-mypy"] [extras] configbuilder = ["dash", "dash-bootstrap-components", "dash-core-components", "dash-cytoscape", "dash-dangerously-set-inner-html", "dash-html-components", "dash-table", "docutils", "pandas", "waitress"] -datahandler = ["netCDF4", "xarray"] +datahandler = ["netCDF4"] interplot = ["dill", "ipython", "pypiwin32"] -loops = ["xarray"] -two-qubit-rb = ["cirq", "cirq", "tqdm", "xarray"] +two-qubit-rb = ["cirq", "cirq", "tqdm"] [metadata] lock-version = "2.1" python-versions = ">=3.9, <=3.13" -content-hash = "22ed326daa2f6d756b99bb9aeacebef3052934fb5a44478687595ff77384d518" +content-hash = "7aaa2f6b0834f192880a1ebeb17e45ce91612dbb3e4a941bed3a0595406103ba" diff --git a/pyproject.toml b/pyproject.toml index b8b4d2aa..f7ba8280 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ homepage = "https://github.com/qua-platform/py-qua-tools" python = ">=3.9, <=3.13" matplotlib = "^3.8.0" numpy = "<3" -qm-qua = ">=1.3.0a1" +qm-qua = ">=1.2.3" scikit-learn = ">=1.5.0" grpclib = "0.4.5" attrs = ">=22.2.0" diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 5629bcc6..83c8c0b2 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -1,12 +1,28 @@ -from typing import Optional, Sequence, Union +from __future__ import annotations + +from typing import TYPE_CHECKING, Optional, Sequence, Union from itertools import product import numpy as np import xarray as xr -from qm.api.v2.job_api.job_api import JobApi -from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase -from qm.qua.extensions.qua_iterators import QuaProduct -from qm.qua._dsl.stream_processing.direct_stream_processing import STREAM_NAME_SEPARATOR +if TYPE_CHECKING: + from qm.api.v2.job_api.job_api import JobApi + from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase + from qm.qua.extensions.qua_iterators import QuaProduct + + +def _import_qua_iterables_api(): + """Import the qm-qua symbols required for QUA-iterable post-processing. + + These were introduced in qm-qua 1.3.1, so the imports are deferred to call + time to keep qualang_tools importable on older qm-qua versions. + """ + try: + from qm.qua.extensions.qua_iterators import QuaProduct + from qm.qua import STREAM_NAME_SEPARATOR + except ImportError as e: + raise ImportError("fetch_xarray_data requires qm-qua>=1.3.1. Please upgrade qm-qua to use this feature.") from e + return QuaProduct, STREAM_NAME_SEPARATOR def _itr_column_indices(itr: IterableBase) -> list[int]: @@ -32,9 +48,9 @@ def _clean_result_value( return np.array(value) -def _find_stream_name_from_full_stream_name(result_name, native_columns): +def _find_stream_name_from_full_stream_name(result_name, native_columns, stream_name_separator): for native_names in product(*native_columns): - suffix = STREAM_NAME_SEPARATOR + STREAM_NAME_SEPARATOR.join(str(n) for n in native_names) + suffix = stream_name_separator + stream_name_separator.join(str(n) for n in native_names) if result_name.endswith(suffix): stream_name = result_name[: -len(suffix)] @@ -43,13 +59,15 @@ def _find_stream_name_from_full_stream_name(result_name, native_columns): raise ValueError(f"No native iterator match found in '{result_name}'") -def _extract_stream_data_with_native_iterables(results, qua_iterables, native_itr): +def _extract_stream_data_with_native_iterables(results, qua_iterables, native_itr, stream_name_separator): native_columns = [_itr_column_indices(itr) for itr in native_itr] stream_data = {} stream_with_native_itr = {} for res_name, value in results.items(): clean_value = _clean_result_value(value) - stream_name, native_names = _find_stream_name_from_full_stream_name(res_name, native_columns) + stream_name, native_names = _find_stream_name_from_full_stream_name( + res_name, native_columns, stream_name_separator + ) d = stream_with_native_itr.setdefault(stream_name, {}) d[native_names] = clean_value @@ -114,12 +132,16 @@ def fetch_xarray_data( iterator suffixes, or if the non-native shape of a stream does not match the expected shape from the QUA iterables. """ + QuaProduct, stream_name_separator = _import_qua_iterables_api() + qua_iterables = iterables.iterables if isinstance(iterables, QuaProduct) else iterables native_itr = [itr for itr in qua_iterables if not itr.is_qua_iterable] results = job.result_handles.fetch_results(wait_until_done=wait_until_done) if native_itr: - stream_data = _extract_stream_data_with_native_iterables(results, qua_iterables, native_itr) + stream_data = _extract_stream_data_with_native_iterables( + results, qua_iterables, native_itr, stream_name_separator + ) else: stream_data = {} for res_name, value in results.items(): From 5fd9171e154e15a06eacf2cd2770c4cb7f79796f Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 09:22:32 +0300 Subject: [PATCH 18/27] test and changelog --- CHANGELOG.md | 5 +++ .../test_fetch_xarray_version_guard.py | 39 +++++++++++++++++++ 2 files changed, 44 insertions(+) create mode 100644 tests/tests_qua_utilities/test_fetch_xarray_version_guard.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 2c233930..0f89a21b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) ## [Unreleased] +### Added +- results - Add `fetch_xarray_data` to fetch QUA job results and organize them into an `xarray.Dataset` aligned with the QUA iterables (sweep) structure. Requires `qm-qua>=1.3.1`; raises a clear `ImportError` on older versions while keeping `qualang_tools` importable. + +### Changed +- requirements - `xarray` is now a core dependency instead of an optional extra (previously under the `datahandler` and `two-qubit-rb` extras). ## [0.22.0] - 2026-04-01 diff --git a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py new file mode 100644 index 00000000..76c285a3 --- /dev/null +++ b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py @@ -0,0 +1,39 @@ +import builtins + +import pytest + +from qualang_tools.results.qua_iterables_processing import qua_iterable_postprocess as pp + + +@pytest.fixture +def simulate_old_qm_qua(monkeypatch): + """Make the qm-qua 1.3.1 symbols look unavailable, as on qm-qua<1.3.1.""" + real_import = builtins.__import__ + + def fake_import(name, *args, **kwargs): + if name == "qm.qua.extensions.qua_iterators" or ( + name == "qm.qua" and "STREAM_NAME_SEPARATOR" in (args[2] or ()) + ): + raise ImportError(f"No module named {name!r}") + return real_import(name, *args, **kwargs) + + monkeypatch.setattr(builtins, "__import__", fake_import) + + +def test_import_helper_raises_clean_error(simulate_old_qm_qua): + with pytest.raises(ImportError, match="qm-qua>=1.3.1"): + pp._import_qua_iterables_api() + + +def test_fetch_xarray_data_raises_clean_error(simulate_old_qm_qua): + # The version guard runs before any job/iterables access, so dummy args are fine. + with pytest.raises(ImportError, match="qm-qua>=1.3.1"): + pp.fetch_xarray_data(job=None, iterables=None) + + +def test_module_imports_without_qua_iterators(simulate_old_qm_qua): + """Importing the package must not require the qm-qua 1.3.1 symbols.""" + import importlib + + importlib.reload(pp) + assert hasattr(pp, "fetch_xarray_data") From 694d8f60d6aed13f8d555573f2eeab77512ad17f Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 09:26:42 +0300 Subject: [PATCH 19/27] lock --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 39865e7c..6b888605 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3558,4 +3558,4 @@ two-qubit-rb = ["cirq", "cirq", "tqdm"] [metadata] lock-version = "2.1" python-versions = ">=3.9, <=3.13" -content-hash = "7aaa2f6b0834f192880a1ebeb17e45ce91612dbb3e4a941bed3a0595406103ba" +content-hash = "eb945864d05fee768854429d6db6165fca4ed62acc68c9743c1f27d279165c60" From 49e522719279ab526f08fdc8c5ea43e3dc5808fa Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 09:59:47 +0300 Subject: [PATCH 20/27] Gate fetch_xarray_data on qm-qua version, skip feature tests on old qm-qua Version-gate the QUA-iterable post-processing API (added in qm-qua 1.3.1) via MIN_QM_QUA_VERSION as the single source of truth, raising a clear ImportError on older qm-qua while keeping qualang_tools importable. Feature tests skip below the minimum; add packaging as an explicit dependency. Co-Authored-By: Claude Opus 4.8 (1M context) --- poetry.lock | 135 +++++++++++++++++- pyproject.toml | 1 + .../qua_iterable_postprocess.py | 34 ++++- .../fetch_xarray_helpers.py | 59 +++++--- .../test_fetch_xarray_averaging.py | 31 +++- .../test_fetch_xarray_basic.py | 116 +++++++++++---- .../test_fetch_xarray_edge_cases.py | 60 +++++--- .../test_fetch_xarray_version_guard.py | 42 +++--- .../test_fetch_xarray_zip.py | 70 ++++++--- 9 files changed, 424 insertions(+), 124 deletions(-) diff --git a/poetry.lock b/poetry.lock index 6b888605..31b23534 100644 --- a/poetry.lock +++ b/poetry.lock @@ -64,6 +64,28 @@ files = [ {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, ] +[[package]] +name = "betterproto" +version = "2.0.0b7" +description = "A better Protobuf / gRPC generator & library" +optional = false +python-versions = "<4.0,>=3.7" +groups = ["main"] +markers = "python_version < \"3.11\" and python_version != \"3.10\"" 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"python_version >= \"3.10\"" files = [ - {file = "qm_qua-1.3.0a1-py3-none-any.whl", hash = "sha256:1fe6baf8d83f4eefc6f97cb2b5d82e6fd7f892f5ffdb9960ec07a75de00c0cd3"}, - {file = "qm_qua-1.3.0a1.tar.gz", hash = "sha256:33f77f8724ec983e3cb1335526f8378a04ed3b80de0763b065206cf6648b7cda"}, + {file = "qm_qua-1.3.1-py3-none-any.whl", hash = "sha256:e102000a5aff2c93beb8f52a55d731b3bc50cfcdfa9f0b0e0f6e0e2bfb0500ef"}, + {file = "qm_qua-1.3.1.tar.gz", hash = "sha256:9b874087ef35a464904e7a59a8db9c87e1189c07853871191e39108fd5c60339"}, ] [package.dependencies] @@ -2856,9 +2977,9 @@ httpx = {version = ">=0.27.0,<1", extras = ["http2"]} marshmallow = ">=3,<4" marshmallow-polyfield = ">=5.7,<6.0" multidict = ">=6.7.0,<7.0.0" -numpy = "<3" +numpy = {version = "<3", markers = "python_version >= \"3.10\" and python_version < \"3.14\""} plotly = ">=5" -protobuf = ">=4.25,<7" +protobuf = ">=4.25,<8" tinydb = ">=4.6.1,<5.0.0" typing-extensions = ">=4.5,<5.0" @@ -3558,4 +3679,4 @@ two-qubit-rb = ["cirq", "cirq", "tqdm"] [metadata] lock-version = "2.1" python-versions = ">=3.9, <=3.13" -content-hash = "eb945864d05fee768854429d6db6165fca4ed62acc68c9743c1f27d279165c60" +content-hash = "27cf343446194774e1d5c8194fe8189b4f81072f3e0e07f1436b4f6f33936735" diff --git a/pyproject.toml b/pyproject.toml index f7ba8280..1a54e754 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ qm-qua = ">=1.2.3" scikit-learn = ">=1.5.0" grpclib = "0.4.5" attrs = ">=22.2.0" +packaging = ">=20.0" # Scipy scipy = [ diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 83c8c0b2..7702423a 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -10,18 +10,38 @@ from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase from qm.qua.extensions.qua_iterators import QuaProduct +# QUA-iterable post-processing relies on qm-qua APIs introduced in this version. +MIN_QM_QUA_VERSION = "1.3.1" + + +def _installed_qm_qua_version() -> str: + """Return the installed qm-qua distribution version.""" + from importlib.metadata import version + + return version("qm-qua") + + +def qua_iterables_supported() -> bool: + """Whether the installed qm-qua is recent enough for QUA-iterable post-processing.""" + from packaging.version import Version + + return Version(_installed_qm_qua_version()) >= Version(MIN_QM_QUA_VERSION) + def _import_qua_iterables_api(): """Import the qm-qua symbols required for QUA-iterable post-processing. - These were introduced in qm-qua 1.3.1, so the imports are deferred to call - time to keep qualang_tools importable on older qm-qua versions. + The imports are deferred to call time, and gated on the qm-qua version, so + qualang_tools stays importable on older, unsupported qm-qua versions. """ - try: - from qm.qua.extensions.qua_iterators import QuaProduct - from qm.qua import STREAM_NAME_SEPARATOR - except ImportError as e: - raise ImportError("fetch_xarray_data requires qm-qua>=1.3.1. Please upgrade qm-qua to use this feature.") from e + if not qua_iterables_supported(): + raise ImportError( + f"fetch_xarray_data requires qm-qua>={MIN_QM_QUA_VERSION} " + f"(found {_installed_qm_qua_version()}). Please upgrade qm-qua to use this feature." + ) + from qm.qua.extensions.qua_iterators import QuaProduct + from qm.qua import STREAM_NAME_SEPARATOR + return QuaProduct, STREAM_NAME_SEPARATOR diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py index 0588bd43..72fe2693 100644 --- a/tests/tests_qua_utilities/fetch_xarray_helpers.py +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -3,13 +3,28 @@ import numpy as np import xarray as xr -from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange +from qm.qua.extensions.qua_iterators import ( + QuaIterable, + NativeIterable, + QuaIterableRange, + QuaProduct, + NativeIterableRange, +) from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase from qm import SimulationConfig, LoopbackInterface from qualang_tools.results import fetch_xarray_data +from qualang_tools.results.qua_iterables_processing.qua_iterable_postprocess import ( + MIN_QM_QUA_VERSION, + qua_iterables_supported, +) from tests.tests_qua_utilities.conftest import config +# fetch_xarray_data requires a recent qm-qua; the feature tests are skipped on +# older qm-qua, where the API cannot run. +QUA_ITERABLES_AVAILABLE = qua_iterables_supported() +QUA_ITERABLES_SKIP_REASON = f"requires qm-qua>={MIN_QM_QUA_VERSION}" + simulation_config = SimulationConfig(50000, simulation_interface=LoopbackInterface([("con1", 2, 8, "con1", 2, 1)])) @@ -23,16 +38,20 @@ def make_product(): - return QuaProduct([ - QuaIterableRange("shot", shots), - NativeIterable("qubit", qubits), - QuaIterable("frequency", frequencies), - NativeIterableRange("amp", amp_start, amp_stop, amp_step) - ]) + return QuaProduct( + [ + QuaIterableRange("shot", shots), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), + NativeIterableRange("amp", amp_start, amp_stop, amp_step), + ] + ) def simulate_and_fetch( - qmm, prog, iterables: Union[QuaProduct, Sequence[IterableBase]], + qmm, + prog, + iterables: Union[QuaProduct, Sequence[IterableBase]], ) -> xr.Dataset: job = qmm.simulate(config, prog, simulation_config) job.result_handles.wait_for_all_values() @@ -40,21 +59,23 @@ def simulate_and_fetch( def assert_dims_and_shape( - ds: xr.Dataset, var_name: str, expected_dims: tuple[str, ...], expected_shape: tuple[int, ...], + ds: xr.Dataset, + var_name: str, + expected_dims: tuple[str, ...], + expected_shape: tuple[int, ...], ): - assert ds[var_name].dims == expected_dims, ( - f"{var_name} dims: expected {expected_dims}, got {ds[var_name].dims}" - ) - assert ds[var_name].shape == expected_shape, ( - f"{var_name} shape: expected {expected_shape}, got {ds[var_name].shape}" - ) + assert ds[var_name].dims == expected_dims, f"{var_name} dims: expected {expected_dims}, got {ds[var_name].dims}" + assert ( + ds[var_name].shape == expected_shape + ), f"{var_name} shape: expected {expected_shape}, got {ds[var_name].shape}" def assert_allclose_sel( - ds: xr.Dataset, var_name: str, expected, **sel_kwargs, + ds: xr.Dataset, + var_name: str, + expected, + **sel_kwargs, ): actual = ds[var_name].sel(**sel_kwargs) sel_str = ", ".join(f"{k}={v}" for k, v in sel_kwargs.items()) - assert np.allclose(actual, expected), ( - f"{var_name}({sel_str}): expected {expected}, got {actual.values}" - ) + assert np.allclose(actual, expected), f"{var_name}({sel_str}): expected {expected}, got {actual.values}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py index 4b45e046..053a7f9b 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py @@ -5,10 +5,19 @@ from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase from tests.tests_qua_utilities.fetch_xarray_helpers import ( - frequencies, amp_values, qubits, make_product, simulate_and_fetch, - assert_dims_and_shape, assert_allclose_sel, + frequencies, + amp_values, + qubits, + make_product, + simulate_and_fetch, + assert_dims_and_shape, + assert_allclose_sel, + QUA_ITERABLES_AVAILABLE, + QUA_ITERABLES_SKIP_REASON, ) +pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) + def test_full_average(qmm): if qmm is None: @@ -16,7 +25,11 @@ def test_full_average(qmm): prod = make_product() with program() as prog: for args in prod: - full_avg = declare_with_stream(float, "full_avg_st", average_axes=[itr.name for itr in prod.iterables if not isinstance(itr, NativeIterableBase)]) + full_avg = declare_with_stream( + float, + "full_avg_st", + average_axes=[itr.name for itr in prod.iterables if not isinstance(itr, NativeIterableBase)], + ) assign(full_avg, args.frequency * args.amp) xarray_data = simulate_and_fetch(qmm, prog, prod) @@ -28,8 +41,12 @@ def test_full_average(qmm): assert_allclose_sel(xarray_data, "full_avg_st", expected_per_amp[i], amp=a) # Averaged-out coords (shot, frequency) should not appear in the dataset coords - assert "shot" not in xarray_data.coords, f"'shot' should not be in coords after full averaging, got {list(xarray_data.coords)}" - assert "frequency" not in xarray_data.coords, f"'frequency' should not be in coords after full averaging, got {list(xarray_data.coords)}" + assert ( + "shot" not in xarray_data.coords + ), f"'shot' should not be in coords after full averaging, got {list(xarray_data.coords)}" + assert ( + "frequency" not in xarray_data.coords + ), f"'frequency' should not be in coords after full averaging, got {list(xarray_data.coords)}" def test_multiple_streams_different_averages(qmm): @@ -47,7 +64,9 @@ def test_multiple_streams_different_averages(qmm): xarray_data = simulate_and_fetch(qmm, prog, prod) # avg_shot_st: shot averaged out → (qubit, frequency, amp) - assert_dims_and_shape(xarray_data, "avg_shot_st", ("qubit", "frequency", "amp"), (len(qubits), len(frequencies), len(amp_values))) + assert_dims_and_shape( + xarray_data, "avg_shot_st", ("qubit", "frequency", "amp"), (len(qubits), len(frequencies), len(amp_values)) + ) for f in frequencies: for a in amp_values: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py index 7484886c..91d2c03a 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_basic.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -2,13 +2,32 @@ import numpy as np from qm.qua import program, declare_with_stream, assign, fixed -from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange +from qm.qua.extensions.qua_iterators import ( + QuaIterable, + NativeIterable, + QuaIterableRange, + QuaProduct, + NativeIterableRange, +) from tests.tests_qua_utilities.fetch_xarray_helpers import ( - shots, frequencies, amp_start, amp_stop, amp_step, amp_values, qubits, - make_product, simulate_and_fetch, assert_dims_and_shape, assert_allclose_sel, + shots, + frequencies, + amp_start, + amp_stop, + amp_step, + amp_values, + qubits, + make_product, + simulate_and_fetch, + assert_dims_and_shape, + assert_allclose_sel, + QUA_ITERABLES_AVAILABLE, + QUA_ITERABLES_SKIP_REASON, ) +pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) + def test_single_save(qmm): if qmm is None: @@ -23,11 +42,20 @@ def test_single_save(qmm): xarray_data = simulate_and_fetch(qmm, prog, prod) - assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency", "amp"), (shots, len(qubits), len(frequencies), len(amp_values))) - assert_dims_and_shape(xarray_data, "shot_avg_st", ("qubit", "frequency", "amp"), (len(qubits), len(frequencies), len(amp_values))) + assert_dims_and_shape( + xarray_data, + "shot_st", + ("shot", "qubit", "frequency", "amp"), + (shots, len(qubits), len(frequencies), len(amp_values)), + ) + assert_dims_and_shape( + xarray_data, "shot_avg_st", ("qubit", "frequency", "amp"), (len(qubits), len(frequencies), len(amp_values)) + ) for i in range(shots): - assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + assert ( + xarray_data["shot_st"][i] == i + ).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" for f in frequencies: for a in amp_values: @@ -39,10 +67,12 @@ def test_no_native_iterables(qmm): if qmm is None: pytest.skip("requires simulator available") n_shots = 10 - prod = QuaProduct([ - QuaIterableRange("shot", n_shots), - QuaIterable("frequency", frequencies), - ]) + prod = QuaProduct( + [ + QuaIterableRange("shot", n_shots), + QuaIterable("frequency", frequencies), + ] + ) with program() as prog: for args in prod: s = declare_with_stream(int, "shot_st") @@ -53,17 +83,21 @@ def test_no_native_iterables(qmm): assert_dims_and_shape(xarray_data, "shot_st", ("shot", "frequency"), (n_shots, len(frequencies))) for i in range(n_shots): - assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + assert ( + xarray_data["shot_st"][i] == i + ).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" def test_no_qua_iterables(qmm): """Only native iterables — non_native_shape is empty.""" if qmm is None: pytest.skip("requires simulator available") - prod = QuaProduct([ - NativeIterable("qubit", qubits), - NativeIterableRange("amp", amp_start, amp_stop, amp_step), - ]) + prod = QuaProduct( + [ + NativeIterable("qubit", qubits), + NativeIterableRange("amp", amp_start, amp_stop, amp_step), + ] + ) with program() as prog: for args in prod: s = declare_with_stream(fixed, "amp_st") @@ -101,7 +135,9 @@ def test_pass_as_list(qmm): assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency"), (10, len(qubits), len(frequencies))) for i in range(10): - assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + assert ( + xarray_data["shot_st"][i] == i + ).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" def test_interleaved_dim_ordering(qmm): @@ -109,12 +145,14 @@ def test_interleaved_dim_ordering(qmm): if qmm is None: pytest.skip("requires simulator available") n_shots = 10 - prod = QuaProduct([ - QuaIterableRange("shot", n_shots), - NativeIterable("qubit", qubits), - QuaIterable("frequency", frequencies), - NativeIterableRange("amp", amp_start, amp_stop, amp_step), - ]) + prod = QuaProduct( + [ + QuaIterableRange("shot", n_shots), + NativeIterable("qubit", qubits), + QuaIterable("frequency", frequencies), + NativeIterableRange("amp", amp_start, amp_stop, amp_step), + ] + ) with program() as prog: for args in prod: s_shot = declare_with_stream(int, "shot_st") @@ -124,11 +162,23 @@ def test_interleaved_dim_ordering(qmm): xarray_data = simulate_and_fetch(qmm, prog, prod) - assert_dims_and_shape(xarray_data, "shot_st", ("shot", "qubit", "frequency", "amp"), (n_shots, len(qubits), len(frequencies), len(amp_values))) - assert_dims_and_shape(xarray_data, "freq_st", ("shot", "qubit", "frequency", "amp"), (n_shots, len(qubits), len(frequencies), len(amp_values))) + assert_dims_and_shape( + xarray_data, + "shot_st", + ("shot", "qubit", "frequency", "amp"), + (n_shots, len(qubits), len(frequencies), len(amp_values)), + ) + assert_dims_and_shape( + xarray_data, + "freq_st", + ("shot", "qubit", "frequency", "amp"), + (n_shots, len(qubits), len(frequencies), len(amp_values)), + ) for i in range(n_shots): - assert (xarray_data["shot_st"][i] == i).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" + assert ( + xarray_data["shot_st"][i] == i + ).all(), f"shot_st[{i}]: expected all values to be {i}, got {xarray_data['shot_st'][i].values}" for f in frequencies: assert_allclose_sel(xarray_data, "freq_st", f, frequency=f) @@ -146,7 +196,15 @@ def test_coordinate_values(qmm): xarray_data = simulate_and_fetch(qmm, prog, prod) - assert np.array_equal(xarray_data.coords["shot"].values, np.arange(shots)), f"shot coords: expected {np.arange(shots)}, got {xarray_data.coords['shot'].values}" - assert np.array_equal(xarray_data.coords["qubit"].values, qubits), f"qubit coords: expected {qubits}, got {xarray_data.coords['qubit'].values}" - assert np.allclose(xarray_data.coords["frequency"].values, frequencies), f"frequency coords: expected {frequencies}, got {xarray_data.coords['frequency'].values}" - assert np.allclose(xarray_data.coords["amp"].values, amp_values), f"amp coords: expected {amp_values}, got {xarray_data.coords['amp'].values}" + assert np.array_equal( + xarray_data.coords["shot"].values, np.arange(shots) + ), f"shot coords: expected {np.arange(shots)}, got {xarray_data.coords['shot'].values}" + assert np.array_equal( + xarray_data.coords["qubit"].values, qubits + ), f"qubit coords: expected {qubits}, got {xarray_data.coords['qubit'].values}" + assert np.allclose( + xarray_data.coords["frequency"].values, frequencies + ), f"frequency coords: expected {frequencies}, got {xarray_data.coords['frequency'].values}" + assert np.allclose( + xarray_data.coords["amp"].values, amp_values + ), f"amp coords: expected {amp_values}, got {xarray_data.coords['amp'].values}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py index 9a64a86d..c48cb3ca 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py @@ -1,12 +1,28 @@ import pytest from qm.qua import program, declare_with_stream, measure, dual_demod, assign, fixed -from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange +from qm.qua.extensions.qua_iterators import ( + QuaIterable, + NativeIterable, + QuaIterableRange, + QuaProduct, + NativeIterableRange, +) from tests.tests_qua_utilities.fetch_xarray_helpers import ( - frequencies, amp_start, amp_stop, amp_step, make_product, simulate_and_fetch, assert_dims_and_shape, + frequencies, + amp_start, + amp_stop, + amp_step, + make_product, + simulate_and_fetch, + assert_dims_and_shape, + QUA_ITERABLES_AVAILABLE, + QUA_ITERABLES_SKIP_REASON, ) +pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) + def test_multi_save_raises(qmm): if qmm is None: @@ -26,10 +42,12 @@ def test_demod_np_void(qmm): """Test np.void value handling from dual_demod measurement results.""" if qmm is None: pytest.skip("requires simulator available") - prod = QuaProduct([ - QuaIterableRange("shot", 10), - NativeIterable("qubit", ["q1"]), - ]) + prod = QuaProduct( + [ + QuaIterableRange("shot", 10), + NativeIterable("qubit", ["q1"]), + ] + ) with program() as prog: for args in prod: I = declare_with_stream(fixed, "I_st") @@ -43,12 +61,14 @@ def test_demod_np_void(qmm): def test_units_metadata(qmm): if qmm is None: pytest.skip("requires simulator available") - prod = QuaProduct([ - QuaIterableRange("shot", 10, metadata={"unit": "count"}), - NativeIterable("qubit", ["q1"], metadata={"unit": "qubit_id"}), - QuaIterable("frequency", frequencies, metadata={"unit": "Hz"}), - NativeIterableRange("amp", amp_start, amp_stop, amp_step, metadata={"unit": "V"}) - ]) + prod = QuaProduct( + [ + QuaIterableRange("shot", 10, metadata={"unit": "count"}), + NativeIterable("qubit", ["q1"], metadata={"unit": "qubit_id"}), + QuaIterable("frequency", frequencies, metadata={"unit": "Hz"}), + NativeIterableRange("amp", amp_start, amp_stop, amp_step, metadata={"unit": "V"}), + ] + ) with program() as prog: for args in prod: s = declare_with_stream(float, "val_st", average_axes=["shot"]) @@ -56,9 +76,17 @@ def test_units_metadata(qmm): xarray_data = simulate_and_fetch(qmm, prog, prod) - assert xarray_data.coords["frequency"].attrs["unit"] == "Hz", f"frequency unit: expected 'Hz', got {xarray_data.coords['frequency'].attrs.get('unit')}" - assert xarray_data.coords["amp"].attrs["unit"] == "V", f"amp unit: expected 'V', got {xarray_data.coords['amp'].attrs.get('unit')}" - assert xarray_data.coords["qubit"].attrs["unit"] == "qubit_id", f"qubit unit: expected 'qubit_id', got {xarray_data.coords['qubit'].attrs.get('unit')}" + assert ( + xarray_data.coords["frequency"].attrs["unit"] == "Hz" + ), f"frequency unit: expected 'Hz', got {xarray_data.coords['frequency'].attrs.get('unit')}" + assert ( + xarray_data.coords["amp"].attrs["unit"] == "V" + ), f"amp unit: expected 'V', got {xarray_data.coords['amp'].attrs.get('unit')}" + assert ( + xarray_data.coords["qubit"].attrs["unit"] == "qubit_id" + ), f"qubit unit: expected 'qubit_id', got {xarray_data.coords['qubit'].attrs.get('unit')}" # shot is averaged out — its unit should not be set on any coord - assert "shot" not in xarray_data.coords, f"'shot' should not be in coords after averaging, got {list(xarray_data.coords)}" + assert ( + "shot" not in xarray_data.coords + ), f"'shot' should not be in coords after averaging, got {list(xarray_data.coords)}" diff --git a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py index 76c285a3..2ba3bdc7 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py @@ -1,39 +1,41 @@ -import builtins +import re import pytest +from packaging.version import Version from qualang_tools.results.qua_iterables_processing import qua_iterable_postprocess as pp +_REQUIRED_ERROR = re.escape(f"qm-qua>={pp.MIN_QM_QUA_VERSION}") +# A version guaranteed to be below the minimum, derived from the constant. +_TOO_OLD = f"{Version(pp.MIN_QM_QUA_VERSION).major}.0.0" + @pytest.fixture def simulate_old_qm_qua(monkeypatch): - """Make the qm-qua 1.3.1 symbols look unavailable, as on qm-qua<1.3.1.""" - real_import = builtins.__import__ + """Report an installed qm-qua older than the minimum required version.""" + monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: _TOO_OLD) + + +def test_qua_iterables_supported_version_gate(monkeypatch): + monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: _TOO_OLD) + assert pp.qua_iterables_supported() is False - def fake_import(name, *args, **kwargs): - if name == "qm.qua.extensions.qua_iterators" or ( - name == "qm.qua" and "STREAM_NAME_SEPARATOR" in (args[2] or ()) - ): - raise ImportError(f"No module named {name!r}") - return real_import(name, *args, **kwargs) + # Exactly the minimum is supported. + monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: pp.MIN_QM_QUA_VERSION) + assert pp.qua_iterables_supported() is True - monkeypatch.setattr(builtins, "__import__", fake_import) + # A clearly newer version is supported. + newer = f"{Version(pp.MIN_QM_QUA_VERSION).major + 1}.0.0" + monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: newer) + assert pp.qua_iterables_supported() is True def test_import_helper_raises_clean_error(simulate_old_qm_qua): - with pytest.raises(ImportError, match="qm-qua>=1.3.1"): + with pytest.raises(ImportError, match=_REQUIRED_ERROR): pp._import_qua_iterables_api() def test_fetch_xarray_data_raises_clean_error(simulate_old_qm_qua): # The version guard runs before any job/iterables access, so dummy args are fine. - with pytest.raises(ImportError, match="qm-qua>=1.3.1"): + with pytest.raises(ImportError, match=_REQUIRED_ERROR): pp.fetch_xarray_data(job=None, iterables=None) - - -def test_module_imports_without_qua_iterators(simulate_old_qm_qua): - """Importing the package must not require the qm-qua 1.3.1 symbols.""" - import importlib - - importlib.reload(pp) - assert hasattr(pp, "fetch_xarray_data") diff --git a/tests/tests_qua_utilities/test_fetch_xarray_zip.py b/tests/tests_qua_utilities/test_fetch_xarray_zip.py index 68d2afa4..38d6c4a4 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_zip.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_zip.py @@ -2,25 +2,44 @@ import numpy as np from qm.qua import program, declare_with_stream, assign, fixed -from qm.qua.extensions.qua_iterators import QuaIterable, NativeIterable, QuaIterableRange, QuaProduct, NativeIterableRange, QuaZip +from qm.qua.extensions.qua_iterators import ( + QuaIterable, + NativeIterable, + QuaIterableRange, + QuaProduct, + NativeIterableRange, + QuaZip, +) from tests.tests_qua_utilities.fetch_xarray_helpers import ( - frequencies, qubits, simulate_and_fetch, assert_dims_and_shape, + frequencies, + qubits, + simulate_and_fetch, + assert_dims_and_shape, + QUA_ITERABLES_AVAILABLE, + QUA_ITERABLES_SKIP_REASON, ) +pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) + def test_qua_zip_native(qmm): if qmm is None: pytest.skip("requires simulator available") native_zip_values = ["q1", "q2", "q3"] - prod = QuaProduct([ - QuaIterableRange("shot", 10), - QuaZip([ - NativeIterable("qubit", native_zip_values), - NativeIterableRange("amp", 0.1, 0.4, 0.1), - ], name="qb_amp"), - QuaIterable("frequency", frequencies), - ]) + prod = QuaProduct( + [ + QuaIterableRange("shot", 10), + QuaZip( + [ + NativeIterable("qubit", native_zip_values), + NativeIterableRange("amp", 0.1, 0.4, 0.1), + ], + name="qb_amp", + ), + QuaIterable("frequency", frequencies), + ] + ) with program() as prog: for args in prod: s = declare_with_stream(int, "val_st") @@ -28,23 +47,32 @@ def test_qua_zip_native(qmm): xarray_data = simulate_and_fetch(qmm, prog, prod) - assert_dims_and_shape(xarray_data, "val_st", ("shot", "qb_amp", "frequency"), (10, len(native_zip_values), len(frequencies))) + assert_dims_and_shape( + xarray_data, "val_st", ("shot", "qb_amp", "frequency"), (10, len(native_zip_values), len(frequencies)) + ) for i in range(10): - assert (xarray_data["val_st"][i] == i).all(), f"val_st[{i}]: expected all values to be {i}, got {xarray_data['val_st'][i].values}" + assert ( + xarray_data["val_st"][i] == i + ).all(), f"val_st[{i}]: expected all values to be {i}, got {xarray_data['val_st'][i].values}" def test_qua_zip_qua(qmm): if qmm is None: pytest.skip("requires simulator available") tau_values = np.linspace(1, 7, 5) - prod = QuaProduct([ - QuaZip([ - QuaIterable("frequency", frequencies), - QuaIterable("tau", tau_values), - ], name="freq_tau"), - NativeIterable("qubit", qubits), - ]) + prod = QuaProduct( + [ + QuaZip( + [ + QuaIterable("frequency", frequencies), + QuaIterable("tau", tau_values), + ], + name="freq_tau", + ), + NativeIterable("qubit", qubits), + ] + ) with program() as prog: for args in prod: s = declare_with_stream(fixed, "freq_st") @@ -55,4 +83,6 @@ def test_qua_zip_qua(qmm): assert_dims_and_shape(xarray_data, "freq_st", ("freq_tau", "qubit"), (len(frequencies), len(qubits))) for i, f in enumerate(frequencies): - assert np.allclose(xarray_data["freq_st"][i], f), f"freq_st[{i}]: expected all values to be {f}, got {xarray_data['freq_st'][i].values}" + assert np.allclose( + xarray_data["freq_st"][i], f + ), f"freq_st[{i}]: expected all values to be {f}, got {xarray_data['freq_st'][i].values}" From 9ff9e04c64cad0ef1d35f6a8a66a92137f9c85ba Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 11:05:30 +0300 Subject: [PATCH 21/27] Skip xarray feature tests via collect_ignore on old qm-qua pytestmark runs after module import, so it can't prevent the collection-time ImportError from the test modules' top-level qm-qua 1.3.1 imports (e.g. declare_with_stream) on qm-qua 1.2.6 (the Python 3.9 leg). Use collect_ignore in conftest, gated on qua_iterables_supported(), to avoid importing those modules entirely when qm-qua is too old. Co-Authored-By: Claude Opus 4.8 (1M context) --- tests/tests_qua_utilities/conftest.py | 13 +++++++++++++ tests/tests_qua_utilities/fetch_xarray_helpers.py | 9 --------- .../test_fetch_xarray_averaging.py | 4 ---- .../tests_qua_utilities/test_fetch_xarray_basic.py | 4 ---- .../test_fetch_xarray_edge_cases.py | 4 ---- tests/tests_qua_utilities/test_fetch_xarray_zip.py | 4 ---- 6 files changed, 13 insertions(+), 25 deletions(-) diff --git a/tests/tests_qua_utilities/conftest.py b/tests/tests_qua_utilities/conftest.py index a353459f..c46c80d3 100644 --- a/tests/tests_qua_utilities/conftest.py +++ b/tests/tests_qua_utilities/conftest.py @@ -6,6 +6,19 @@ from qm.quantum_machines_manager import QuantumMachinesManager from qm import FullQuaConfig +from qualang_tools.results.qua_iterables_processing.qua_iterable_postprocess import qua_iterables_supported + +# fetch_xarray_data and its tests rely on qm-qua APIs added in MIN_QM_QUA_VERSION. +# On older qm-qua these modules cannot even be imported, so skip collecting them. +collect_ignore = [] +if not qua_iterables_supported(): + collect_ignore += [ + "test_fetch_xarray_basic.py", + "test_fetch_xarray_averaging.py", + "test_fetch_xarray_edge_cases.py", + "test_fetch_xarray_zip.py", + ] + HOST_IP = "localhost" READOUT_LEN = 100 FEM_IDX = 6 diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py index 72fe2693..05f893b6 100644 --- a/tests/tests_qua_utilities/fetch_xarray_helpers.py +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -14,17 +14,8 @@ from qm import SimulationConfig, LoopbackInterface from qualang_tools.results import fetch_xarray_data -from qualang_tools.results.qua_iterables_processing.qua_iterable_postprocess import ( - MIN_QM_QUA_VERSION, - qua_iterables_supported, -) from tests.tests_qua_utilities.conftest import config -# fetch_xarray_data requires a recent qm-qua; the feature tests are skipped on -# older qm-qua, where the API cannot run. -QUA_ITERABLES_AVAILABLE = qua_iterables_supported() -QUA_ITERABLES_SKIP_REASON = f"requires qm-qua>={MIN_QM_QUA_VERSION}" - simulation_config = SimulationConfig(50000, simulation_interface=LoopbackInterface([("con1", 2, 8, "con1", 2, 1)])) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py index 053a7f9b..52e57379 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py @@ -12,12 +12,8 @@ simulate_and_fetch, assert_dims_and_shape, assert_allclose_sel, - QUA_ITERABLES_AVAILABLE, - QUA_ITERABLES_SKIP_REASON, ) -pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) - def test_full_average(qmm): if qmm is None: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py index 91d2c03a..f9aeb8d3 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_basic.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -22,12 +22,8 @@ simulate_and_fetch, assert_dims_and_shape, assert_allclose_sel, - QUA_ITERABLES_AVAILABLE, - QUA_ITERABLES_SKIP_REASON, ) -pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) - def test_single_save(qmm): if qmm is None: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py index c48cb3ca..21c50d09 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py @@ -17,12 +17,8 @@ make_product, simulate_and_fetch, assert_dims_and_shape, - QUA_ITERABLES_AVAILABLE, - QUA_ITERABLES_SKIP_REASON, ) -pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) - def test_multi_save_raises(qmm): if qmm is None: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_zip.py b/tests/tests_qua_utilities/test_fetch_xarray_zip.py index 38d6c4a4..45193376 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_zip.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_zip.py @@ -16,12 +16,8 @@ qubits, simulate_and_fetch, assert_dims_and_shape, - QUA_ITERABLES_AVAILABLE, - QUA_ITERABLES_SKIP_REASON, ) -pytestmark = pytest.mark.skipif(not QUA_ITERABLES_AVAILABLE, reason=QUA_ITERABLES_SKIP_REASON) - def test_qua_zip_native(qmm): if qmm is None: From eec4860f1cac4bb6647eca8cf805479854ee6192 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 11:17:52 +0300 Subject: [PATCH 22/27] Correct README minimum qm-qua to 1.3.1 The 1.3.0a1 pre-release lacks STREAM_NAME_SEPARATOR; the API requires 1.3.1. Co-Authored-By: Claude Opus 4.8 (1M context) --- qualang_tools/results/qua_iterables_processing/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/qualang_tools/results/qua_iterables_processing/README.md b/qualang_tools/results/qua_iterables_processing/README.md index 2c0448ee..8a492c13 100644 --- a/qualang_tools/results/qua_iterables_processing/README.md +++ b/qualang_tools/results/qua_iterables_processing/README.md @@ -2,9 +2,9 @@ `fetch_xarray_data` fetches results from a completed QUA job and returns them as an [`xarray.Dataset`](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html), with each result stream automatically shaped and labelled according to the QUA iterables. -It accepts the iterables as either a plain list of `IterableBase` objects or a `QuaProduct` (both are created with qm-qua >= 1.3.0 iterables). The function handles reassembling per-index streams produced by native iterables, and transposes axes so that dimension ordering in the returned Dataset always matches the original iteration order. +It accepts the iterables as either a plain list of `IterableBase` objects or a `QuaProduct` (both are created with qm-qua >= 1.3.1 iterables). The function handles reassembling per-index streams produced by native iterables, and transposes axes so that dimension ordering in the returned Dataset always matches the original iteration order. -**Requirements:** `xarray >= 2024.1`, `qm-qua >= 1.3.0` +**Requirements:** `xarray >= 2024.1`, `qm-qua >= 1.3.1`. On older qm-qua, `fetch_xarray_data` raises a clear `ImportError`; the rest of `qualang_tools` remains importable. ### Basic usage From c5d0713c7c0718de1aaeec9a4c1182cd4fecd5f4 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 12:17:13 +0300 Subject: [PATCH 23/27] Replace deprecated Native iterable classes with Python* equivalents NativeIterable/NativeIterableRange/NativeIterableBase are deprecated since qm-qua 1.3.0 (removed in 2.0.0). Use PythonIterable/PythonIterableRange/ PythonIterableBase across the fetch_xarray_data tests and README examples. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../results/qua_iterables_processing/README.md | 14 +++++++------- tests/tests_qua_utilities/fetch_xarray_helpers.py | 8 ++++---- .../test_fetch_xarray_averaging.py | 4 ++-- .../tests_qua_utilities/test_fetch_xarray_basic.py | 14 +++++++------- .../test_fetch_xarray_edge_cases.py | 10 +++++----- tests/tests_qua_utilities/test_fetch_xarray_zip.py | 10 +++++----- 6 files changed, 30 insertions(+), 30 deletions(-) diff --git a/qualang_tools/results/qua_iterables_processing/README.md b/qualang_tools/results/qua_iterables_processing/README.md index 8a492c13..cdb59e85 100644 --- a/qualang_tools/results/qua_iterables_processing/README.md +++ b/qualang_tools/results/qua_iterables_processing/README.md @@ -14,7 +14,7 @@ The simplest way to use `fetch_xarray_data` is to pass your iterables as a plain import numpy as np from qm.qua import program, declare_with_stream, assign, fixed from qm.qua.extensions.qua_iterators import ( - QuaProduct, QuaIterableRange, NativeIterable, QuaIterable, + QuaProduct, QuaIterableRange, PythonIterable, QuaIterable, ) from qualang_tools.results import fetch_xarray_data @@ -24,7 +24,7 @@ n_shots = 100 iterables = [ QuaIterableRange("shot", n_shots), # QUA iterable: averaged over on-FPGA if desired - NativeIterable("qubit", qubits), # native iterable: loops in Python + PythonIterable("qubit", qubits), # Python iterable: loops in Python QuaIterable("frequency", frequencies), # QUA iterable ] @@ -49,7 +49,7 @@ When a stream is declared with `average_axes`, the averaged dimensions are dropp ```python iterables = [ QuaIterableRange("shot", 100), - NativeIterable("qubit", ["q1", "q2"]), + PythonIterable("qubit", ["q1", "q2"]), QuaIterable("frequency", np.linspace(100e6, 200e6, 11)), ] @@ -73,7 +73,7 @@ Pass a `metadata` dict with a `"unit"` key to any iterable to have that unit att iterables = [ QuaIterableRange("shot", 100), QuaIterable("frequency", np.linspace(100e6, 200e6, 11), metadata={"unit": "Hz"}), - NativeIterable("qubit", ["q1", "q2"], metadata={"unit": "qubit_id"}), + PythonIterable("qubit", ["q1", "q2"], metadata={"unit": "qubit_id"}), ] ds = fetch_xarray_data(job, iterables) @@ -98,8 +98,8 @@ from qm.qua.extensions.qua_iterators import QuaZip iterables = [ QuaIterableRange("shot", 10), QuaZip([ - NativeIterable("qubit", ["q1", "q2", "q3"]), - NativeIterable("flux", [0.1, 0.2, 0.3]), + PythonIterable("qubit", ["q1", "q2", "q3"]), + PythonIterable("flux", [0.1, 0.2, 0.3]), ], name="qb_flux"), QuaIterable("frequency", frequencies), ] @@ -115,7 +115,7 @@ If you already hold a `QuaProduct` object (e.g. because you constructed it befor ```python qua_product = QuaProduct([ QuaIterableRange("shot", n_shots), - NativeIterable("qubit", qubits), + PythonIterable("qubit", qubits), QuaIterable("frequency", frequencies), ]) diff --git a/tests/tests_qua_utilities/fetch_xarray_helpers.py b/tests/tests_qua_utilities/fetch_xarray_helpers.py index 05f893b6..6e846b5d 100644 --- a/tests/tests_qua_utilities/fetch_xarray_helpers.py +++ b/tests/tests_qua_utilities/fetch_xarray_helpers.py @@ -5,10 +5,10 @@ from qm.qua.extensions.qua_iterators import ( QuaIterable, - NativeIterable, + PythonIterable, QuaIterableRange, QuaProduct, - NativeIterableRange, + PythonIterableRange, ) from qm.qua.extensions.qua_iterators.qua_iterators_base import IterableBase from qm import SimulationConfig, LoopbackInterface @@ -32,9 +32,9 @@ def make_product(): return QuaProduct( [ QuaIterableRange("shot", shots), - NativeIterable("qubit", qubits), + PythonIterable("qubit", qubits), QuaIterable("frequency", frequencies), - NativeIterableRange("amp", amp_start, amp_stop, amp_step), + PythonIterableRange("amp", amp_start, amp_stop, amp_step), ] ) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py index 52e57379..43f13569 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_averaging.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_averaging.py @@ -2,7 +2,7 @@ import numpy as np from qm.qua import program, declare_with_stream, assign -from qm.qua.extensions.qua_iterators.qua_native_iterators import NativeIterableBase +from qm.qua.extensions.qua_iterators.qua_native_iterators import PythonIterableBase from tests.tests_qua_utilities.fetch_xarray_helpers import ( frequencies, @@ -24,7 +24,7 @@ def test_full_average(qmm): full_avg = declare_with_stream( float, "full_avg_st", - average_axes=[itr.name for itr in prod.iterables if not isinstance(itr, NativeIterableBase)], + average_axes=[itr.name for itr in prod.iterables if not isinstance(itr, PythonIterableBase)], ) assign(full_avg, args.frequency * args.amp) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_basic.py b/tests/tests_qua_utilities/test_fetch_xarray_basic.py index f9aeb8d3..afcb427a 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_basic.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_basic.py @@ -4,10 +4,10 @@ from qm.qua import program, declare_with_stream, assign, fixed from qm.qua.extensions.qua_iterators import ( QuaIterable, - NativeIterable, + PythonIterable, QuaIterableRange, QuaProduct, - NativeIterableRange, + PythonIterableRange, ) from tests.tests_qua_utilities.fetch_xarray_helpers import ( @@ -90,8 +90,8 @@ def test_no_qua_iterables(qmm): pytest.skip("requires simulator available") prod = QuaProduct( [ - NativeIterable("qubit", qubits), - NativeIterableRange("amp", amp_start, amp_stop, amp_step), + PythonIterable("qubit", qubits), + PythonIterableRange("amp", amp_start, amp_stop, amp_step), ] ) with program() as prog: @@ -117,7 +117,7 @@ def test_pass_as_list(qmm): pytest.skip("requires simulator available") iterables = [ QuaIterableRange("shot", 10), - NativeIterable("qubit", qubits), + PythonIterable("qubit", qubits), QuaIterable("frequency", frequencies), ] prod = QuaProduct(iterables) @@ -144,9 +144,9 @@ def test_interleaved_dim_ordering(qmm): prod = QuaProduct( [ QuaIterableRange("shot", n_shots), - NativeIterable("qubit", qubits), + PythonIterable("qubit", qubits), QuaIterable("frequency", frequencies), - NativeIterableRange("amp", amp_start, amp_stop, amp_step), + PythonIterableRange("amp", amp_start, amp_stop, amp_step), ] ) with program() as prog: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py index 21c50d09..d725d0e2 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_edge_cases.py @@ -3,10 +3,10 @@ from qm.qua import program, declare_with_stream, measure, dual_demod, assign, fixed from qm.qua.extensions.qua_iterators import ( QuaIterable, - NativeIterable, + PythonIterable, QuaIterableRange, QuaProduct, - NativeIterableRange, + PythonIterableRange, ) from tests.tests_qua_utilities.fetch_xarray_helpers import ( @@ -41,7 +41,7 @@ def test_demod_np_void(qmm): prod = QuaProduct( [ QuaIterableRange("shot", 10), - NativeIterable("qubit", ["q1"]), + PythonIterable("qubit", ["q1"]), ] ) with program() as prog: @@ -60,9 +60,9 @@ def test_units_metadata(qmm): prod = QuaProduct( [ QuaIterableRange("shot", 10, metadata={"unit": "count"}), - NativeIterable("qubit", ["q1"], metadata={"unit": "qubit_id"}), + PythonIterable("qubit", ["q1"], metadata={"unit": "qubit_id"}), QuaIterable("frequency", frequencies, metadata={"unit": "Hz"}), - NativeIterableRange("amp", amp_start, amp_stop, amp_step, metadata={"unit": "V"}), + PythonIterableRange("amp", amp_start, amp_stop, amp_step, metadata={"unit": "V"}), ] ) with program() as prog: diff --git a/tests/tests_qua_utilities/test_fetch_xarray_zip.py b/tests/tests_qua_utilities/test_fetch_xarray_zip.py index 45193376..cc9d8e51 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_zip.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_zip.py @@ -4,10 +4,10 @@ from qm.qua import program, declare_with_stream, assign, fixed from qm.qua.extensions.qua_iterators import ( QuaIterable, - NativeIterable, + PythonIterable, QuaIterableRange, QuaProduct, - NativeIterableRange, + PythonIterableRange, QuaZip, ) @@ -28,8 +28,8 @@ def test_qua_zip_native(qmm): QuaIterableRange("shot", 10), QuaZip( [ - NativeIterable("qubit", native_zip_values), - NativeIterableRange("amp", 0.1, 0.4, 0.1), + PythonIterable("qubit", native_zip_values), + PythonIterableRange("amp", 0.1, 0.4, 0.1), ], name="qb_amp", ), @@ -66,7 +66,7 @@ def test_qua_zip_qua(qmm): ], name="freq_tau", ), - NativeIterable("qubit", qubits), + PythonIterable("qubit", qubits), ] ) with program() as prog: From 0b86a2be144592f396583f13bc029aa36a282d4c Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 12:22:30 +0300 Subject: [PATCH 24/27] pr comment --- .../qua_iterables_processing/qua_iterable_postprocess.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 7702423a..09bfd175 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -4,6 +4,7 @@ from itertools import product import numpy as np import xarray as xr +from packaging.version import Version if TYPE_CHECKING: from qm.api.v2.job_api.job_api import JobApi @@ -23,8 +24,6 @@ def _installed_qm_qua_version() -> str: def qua_iterables_supported() -> bool: """Whether the installed qm-qua is recent enough for QUA-iterable post-processing.""" - from packaging.version import Version - return Version(_installed_qm_qua_version()) >= Version(MIN_QM_QUA_VERSION) From 027ee3266b71b6e8474d511d0f97b707e7f0ada0 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 12:23:44 +0300 Subject: [PATCH 25/27] pr comment --- .../qua_iterables_processing/qua_iterable_postprocess.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index 09bfd175..ab139f93 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -12,7 +12,7 @@ from qm.qua.extensions.qua_iterators import QuaProduct # QUA-iterable post-processing relies on qm-qua APIs introduced in this version. -MIN_QM_QUA_VERSION = "1.3.1" +MIN_QM_QUA_VERSION = Version("1.3.1") def _installed_qm_qua_version() -> str: @@ -24,7 +24,7 @@ def _installed_qm_qua_version() -> str: def qua_iterables_supported() -> bool: """Whether the installed qm-qua is recent enough for QUA-iterable post-processing.""" - return Version(_installed_qm_qua_version()) >= Version(MIN_QM_QUA_VERSION) + return Version(_installed_qm_qua_version()) >= MIN_QM_QUA_VERSION def _import_qua_iterables_api(): From 8e92ebf03a1e260f2af100ed6ac0335646e19d22 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 12:29:16 +0300 Subject: [PATCH 26/27] tests fixes --- .../tests_qua_utilities/test_fetch_xarray_version_guard.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py index 2ba3bdc7..2ab09898 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py @@ -7,7 +7,7 @@ _REQUIRED_ERROR = re.escape(f"qm-qua>={pp.MIN_QM_QUA_VERSION}") # A version guaranteed to be below the minimum, derived from the constant. -_TOO_OLD = f"{Version(pp.MIN_QM_QUA_VERSION).major}.0.0" +_TOO_OLD = f"{pp.MIN_QM_QUA_VERSION.major}.0.0" @pytest.fixture @@ -21,11 +21,11 @@ def test_qua_iterables_supported_version_gate(monkeypatch): assert pp.qua_iterables_supported() is False # Exactly the minimum is supported. - monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: pp.MIN_QM_QUA_VERSION) + monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: str(pp.MIN_QM_QUA_VERSION)) assert pp.qua_iterables_supported() is True # A clearly newer version is supported. - newer = f"{Version(pp.MIN_QM_QUA_VERSION).major + 1}.0.0" + newer = f"{pp.MIN_QM_QUA_VERSION.major + 1}.0.0" monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: newer) assert pp.qua_iterables_supported() is True From 837eaa8b09fcb502ddcf3c84db03c64a3d969b44 Mon Sep 17 00:00:00 2001 From: natangqm Date: Sun, 21 Jun 2026 13:34:50 +0300 Subject: [PATCH 27/27] more comments --- .../qua_iterables_processing/qua_iterable_postprocess.py | 9 ++++----- .../test_fetch_xarray_version_guard.py | 6 +++--- 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py index ab139f93..45aace42 100644 --- a/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py +++ b/qualang_tools/results/qua_iterables_processing/qua_iterable_postprocess.py @@ -5,6 +5,7 @@ import numpy as np import xarray as xr from packaging.version import Version +from importlib.metadata import version if TYPE_CHECKING: from qm.api.v2.job_api.job_api import JobApi @@ -15,16 +16,14 @@ MIN_QM_QUA_VERSION = Version("1.3.1") -def _installed_qm_qua_version() -> str: +def _installed_qm_qua_version() -> Version: """Return the installed qm-qua distribution version.""" - from importlib.metadata import version - - return version("qm-qua") + return Version(version("qm-qua")) def qua_iterables_supported() -> bool: """Whether the installed qm-qua is recent enough for QUA-iterable post-processing.""" - return Version(_installed_qm_qua_version()) >= MIN_QM_QUA_VERSION + return _installed_qm_qua_version() >= MIN_QM_QUA_VERSION def _import_qua_iterables_api(): diff --git a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py index 2ab09898..be12f0eb 100644 --- a/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py +++ b/tests/tests_qua_utilities/test_fetch_xarray_version_guard.py @@ -7,7 +7,7 @@ _REQUIRED_ERROR = re.escape(f"qm-qua>={pp.MIN_QM_QUA_VERSION}") # A version guaranteed to be below the minimum, derived from the constant. -_TOO_OLD = f"{pp.MIN_QM_QUA_VERSION.major}.0.0" +_TOO_OLD = Version(f"{pp.MIN_QM_QUA_VERSION.major}.0.0") @pytest.fixture @@ -21,11 +21,11 @@ def test_qua_iterables_supported_version_gate(monkeypatch): assert pp.qua_iterables_supported() is False # Exactly the minimum is supported. - monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: str(pp.MIN_QM_QUA_VERSION)) + monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: pp.MIN_QM_QUA_VERSION) assert pp.qua_iterables_supported() is True # A clearly newer version is supported. - newer = f"{pp.MIN_QM_QUA_VERSION.major + 1}.0.0" + newer = Version(f"{pp.MIN_QM_QUA_VERSION.major + 1}.0.0") monkeypatch.setattr(pp, "_installed_qm_qua_version", lambda: newer) assert pp.qua_iterables_supported() is True