Add async methods to AbstractEngine and AbstractJob

cirq-core/cirq/work/sampler.py

@@ -13,13 +13,13 @@
 # limitations under the License.
 """Abstract base class for things sampling quantum circuits."""
 
-import abc
 import collections
 from typing import Dict, FrozenSet, List, Optional, Sequence, Tuple, TYPE_CHECKING, Union
 
+import duet
 import pandas as pd
 
-from cirq import ops, protocols, study
+from cirq import ops, protocols, study, value
 from cirq.work.observable_measurement import (
     measure_observables,
     RepetitionsStoppingCriteria,
@@ -31,7 +31,7 @@
     import cirq
 
 
-class Sampler(metaclass=abc.ABCMeta):
+class Sampler(metaclass=value.ABCMetaImplementAnyOneOf):
     """Something capable of sampling quantum circuits. Simulator or hardware."""
 
     def run(
@@ -177,7 +177,19 @@ def sample(
 
         return pd.concat(results)
 
-    @abc.abstractmethod
+    def _run_sweep_impl(
+        self, program: 'cirq.AbstractCircuit', params: 'cirq.Sweepable', repetitions: int = 1
+    ) -> Sequence['cirq.Result']:
+        """Implements run_sweep using run_sweep_async"""
+        return duet.run(self.run_sweep_async, program, params, repetitions)
+
+    async def _run_sweep_async_impl(
+        self, program: 'cirq.AbstractCircuit', params: 'cirq.Sweepable', repetitions: int = 1
+    ) -> Sequence['cirq.Result']:
+        """Implements run_sweep_async using run_sweep"""
+        return self.run_sweep(program, params=params, repetitions=repetitions)
+
+    @value.alternative(requires='run_sweep_async', implementation=_run_sweep_impl)
     def run_sweep(
         self, program: 'cirq.AbstractCircuit', params: 'cirq.Sweepable', repetitions: int = 1
     ) -> Sequence['cirq.Result']:
@@ -200,6 +212,7 @@ def run_sweep(
             Result list for this run; one for each possible parameter resolver.
         """
 
+    @value.alternative(requires='run_sweep', implementation=_run_sweep_async_impl)
     async def run_sweep_async(
         self, program: 'cirq.AbstractCircuit', params: 'cirq.Sweepable', repetitions: int = 1
     ) -> Sequence['cirq.Result']:
@@ -217,13 +230,12 @@ async def run_sweep_async(
         Returns:
             Result list for this run; one for each possible parameter resolver.
         """
-        return self.run_sweep(program, params=params, repetitions=repetitions)
 
     def run_batch(
         self,
         programs: Sequence['cirq.AbstractCircuit'],
-        params_list: Optional[List['cirq.Sweepable']] = None,
-        repetitions: Union[int, List[int]] = 1,
+        params_list: Optional[Sequence['cirq.Sweepable']] = None,
+        repetitions: Union[int, Sequence[int]] = 1,
     ) -> Sequence[Sequence['cirq.Result']]:
         """Runs the supplied circuits.
 
@@ -263,6 +275,34 @@ def run_batch(
             ValueError: If length of `programs` is not equal to the length
                 of `params_list` or the length of `repetitions`.
         """
+        params_list, repetitions = self._normalize_batch_args(programs, params_list, repetitions)
+        return [
+            self.run_sweep(circuit, params=params, repetitions=repetitions)
+            for circuit, params, repetitions in zip(programs, params_list, repetitions)
+        ]
+
+    async def run_batch_async(
+        self,
+        programs: Sequence['cirq.AbstractCircuit'],
+        params_list: Optional[Sequence['cirq.Sweepable']] = None,
+        repetitions: Union[int, Sequence[int]] = 1,
+    ) -> Sequence[Sequence['cirq.Result']]:
+        """Runs the supplied circuits.
+
+        This is an asynchronous version of `run_batch`.
+        """
+        params_list, repetitions = self._normalize_batch_args(programs, params_list, repetitions)
+        return [
+            await self.run_sweep_async(circuit, params=params, repetitions=repetitions)
+            for circuit, params, repetitions in zip(programs, params_list, repetitions)
+        ]
+
+    def _normalize_batch_args(
+        self,
+        programs: Sequence['cirq.AbstractCircuit'],
+        params_list: Optional[Sequence['cirq.Sweepable']] = None,
+        repetitions: Union[int, Sequence[int]] = 1,
+    ) -> Tuple[Sequence['cirq.Sweepable'], Sequence[int]]:
         if params_list is None:
             params_list = [None] * len(programs)
         if len(programs) != len(params_list):
@@ -277,10 +317,7 @@ def run_batch(
                 'len(programs) and len(repetitions) must match. '
                 f'Got {len(programs)} and {len(repetitions)}.'
             )
-        return [
-            self.run_sweep(circuit, params=params, repetitions=repetitions)
-            for circuit, params, repetitions in zip(programs, params_list, repetitions)
-        ]
+        return params_list, repetitions
 
     def sample_expectation_values(
         self,

cirq-core/cirq/work/sampler_test.py

@@ -59,6 +59,42 @@ def run_sweep(self, program, params, repetitions: int = 1):
         await FailingSampler().run_sweep_async(cirq.Circuit(), repetitions=1, params=None)
 
 
+def test_run_sweep_impl():
+    """Test run_sweep implemented in terms of run_sweep_async."""
+
+    class AsyncSampler(cirq.Sampler):
+        async def run_sweep_async(self, program, params, repetitions: int = 1):
+            await duet.sleep(0.001)
+            return cirq.Simulator().run_sweep(program, params, repetitions)
+
+    results = AsyncSampler().run_sweep(
+        cirq.Circuit(cirq.measure(cirq.GridQubit(0, 0), key='m')),
+        cirq.Linspace('foo', 0, 1, 10),
+        repetitions=10,
+    )
+    assert len(results) == 10
+    for result in results:
+        np.testing.assert_equal(result.records['m'], np.zeros((10, 1, 1)))
+
+
+@duet.sync
+async def test_run_sweep_async_impl():
+    """Test run_sweep_async implemented in terms of run_sweep."""
+
+    class SyncSampler(cirq.Sampler):
+        def run_sweep(self, program, params, repetitions: int = 1):
+            return cirq.Simulator().run_sweep(program, params, repetitions)
+
+    results = await SyncSampler().run_sweep_async(
+        cirq.Circuit(cirq.measure(cirq.GridQubit(0, 0), key='m')),
+        cirq.Linspace('foo', 0, 1, 10),
+        repetitions=10,
+    )
+    assert len(results) == 10
+    for result in results:
+        np.testing.assert_equal(result.records['m'], np.zeros((10, 1, 1)))
+
+
 def test_sampler_sample_multiple_params():
     a, b = cirq.LineQubit.range(2)
     s = sympy.Symbol('s')

cirq-core/requirements.txt

@@ -3,7 +3,7 @@
 # functools.cached_property was introduced in python 3.8
 backports.cached_property~=1.0.1; python_version < '3.8'
 
-duet~=0.2.6
+duet~=0.2.7
 matplotlib~=3.0
 networkx~=2.4
 numpy~=1.16

cirq-google/cirq_google/engine/abstract_job.py

@@ -16,6 +16,8 @@
 import abc
 from typing import Dict, Iterator, List, Optional, overload, Sequence, Tuple, TYPE_CHECKING
 
+import duet
+
 import cirq
 from cirq_google.cloud import quantum
 from cirq_google.engine.engine_result import EngineResult
@@ -162,25 +164,31 @@ def delete(self) -> Optional[bool]:
         """Deletes the job and result, if any."""
 
     @abc.abstractmethod
-    def batched_results(self) -> Sequence[Sequence[EngineResult]]:
+    async def batched_results_async(self) -> Sequence[Sequence[EngineResult]]:
         """Returns the job results, blocking until the job is complete.
 
         This method is intended for batched jobs.  Instead of flattening
         results into a single list, this will return a List[Result]
         for each circuit in the batch.
         """
 
+    batched_results = duet.sync(batched_results_async)
+
     @abc.abstractmethod
-    def results(self) -> Sequence[EngineResult]:
+    async def results_async(self) -> Sequence[EngineResult]:
         """Returns the job results, blocking until the job is complete."""
 
+    results = duet.sync(results_async)
+
     @abc.abstractmethod
-    def calibration_results(self) -> Sequence['calibration_result.CalibrationResult']:
+    async def calibration_results_async(self) -> Sequence['calibration_result.CalibrationResult']:
         """Returns the results of a run_calibration() call.
 
         This function will fail if any other type of results were returned.
         """
 
+    calibration_results = duet.sync(calibration_results_async)
+
     def __iter__(self) -> Iterator[cirq.Result]:
         yield from self.results()
 

cirq-google/cirq_google/engine/abstract_job_test.py

@@ -82,15 +82,13 @@ def cancel(self) -> None:
     def delete(self) -> None:
         pass
 
-    def batched_results(self):
+    async def batched_results_async(self):
         pass
 
-    def results(self):
-        return list(
-            cirq.ResultDict(params={}, measurements={'a': np.asarray([t])}) for t in range(5)
-        )
+    async def results_async(self):
+        return [cirq.ResultDict(params={}, measurements={'a': np.asarray([t])}) for t in range(5)]
 
-    def calibration_results(self):
+    async def calibration_results_async(self):
         pass
 
 

cirq-google/cirq_google/engine/abstract_local_engine_test.py

@@ -53,16 +53,13 @@ def health(self, *args, **kwargs):
     def list_calibrations(self, *args, **kwargs):
         pass
 
-    def run(self, *args, **kwargs):
+    async def run_batch_async(self, *args, **kwargs):
         pass
 
-    def run_batch(self, *args, **kwargs):
+    async def run_calibration_async(self, *args, **kwargs):
         pass
 
-    def run_calibration(self, *args, **kwargs):
-        pass
-
-    def run_sweep(self, *args, **kwargs):
+    async def run_sweep_async(self, *args, **kwargs):
         pass
 
     def get_sampler(self, *args, **kwargs):

cirq-google/cirq_google/engine/abstract_local_job_test.py

@@ -41,13 +41,13 @@ def cancel(self) -> None:
     def delete(self) -> None:
         pass
 
-    def batched_results(self) -> Sequence[Sequence[EngineResult]]:
+    async def batched_results_async(self) -> Sequence[Sequence[EngineResult]]:
         return []  # coverage: ignore
 
-    def results(self) -> Sequence[EngineResult]:
+    async def results_async(self) -> Sequence[EngineResult]:
         return []  # coverage: ignore
 
-    def calibration_results(self) -> Sequence[CalibrationResult]:
+    async def calibration_results_async(self) -> Sequence[CalibrationResult]:
         return []  # coverage: ignore
 
 

cirq-google/cirq_google/engine/abstract_local_processor_test.py

@@ -52,16 +52,13 @@ def health(self, *args, **kwargs):
     def list_calibrations(self, *args, **kwargs):
         pass
 
-    def run(self, *args, **kwargs):
+    async def run_batch_async(self, *args, **kwargs):
         pass
 
-    def run_batch(self, *args, **kwargs):
+    async def run_calibration_async(self, *args, **kwargs):
         pass
 
-    def run_calibration(self, *args, **kwargs):
-        pass
-
-    def run_sweep(self, *args, **kwargs):
+    async def run_sweep_async(self, *args, **kwargs):
         pass
 
     def get_sampler(self, *args, **kwargs):

cirq-google/cirq_google/engine/abstract_processor.py

@@ -20,11 +20,11 @@
 
 import abc
 import datetime
-
 from typing import Dict, Iterable, List, Optional, Sequence, TYPE_CHECKING, Union
 
-import cirq
+import duet
 
+import cirq
 from cirq_google.api import v2
 from cirq_google.cloud import quantum
 from cirq_google.engine import calibration, util
@@ -53,7 +53,7 @@ class AbstractProcessor(abc.ABC):
     This is an abstract class.  Inheritors should implement abstract methods.
     """
 
-    def run(
+    async def run_async(
         self,
         program: cirq.Circuit,
         program_id: Optional[str] = None,
@@ -88,9 +88,23 @@ def run(
         Returns:
             A single Result for this run.
         """
+        job = await self.run_sweep_async(
+            program=program,
+            program_id=program_id,
+            job_id=job_id,
+            params=[param_resolver or cirq.ParamResolver({})],
+            repetitions=repetitions,
+            program_description=program_description,
+            program_labels=program_labels,
+            job_description=job_description,
+            job_labels=job_labels,
+        )
+        return job.results()[0]
+
+    run = duet.sync(run_async)
 
     @abc.abstractmethod
-    def run_sweep(
+    async def run_sweep_async(
         self,
         program: cirq.AbstractCircuit,
         program_id: Optional[str] = None,
@@ -129,8 +143,10 @@ def run_sweep(
             `cirq.Result`, one for each parameter sweep.
         """
 
+    run_sweep = duet.sync(run_sweep_async)
+
     @abc.abstractmethod
-    def run_batch(
+    async def run_batch_async(
         self,
         programs: Sequence[cirq.AbstractCircuit],
         program_id: Optional[str] = None,
@@ -180,8 +196,10 @@ def run_batch(
             parameter sweep.
         """
 
+    run_batch = duet.sync(run_batch_async)
+
     @abc.abstractmethod
-    def run_calibration(
+    async def run_calibration_async(
         self,
         layers: List['cg.CalibrationLayer'],
         program_id: Optional[str] = None,
@@ -223,6 +241,8 @@ def run_calibration(
             calibration_results().
         """
 
+    run_calibration = duet.sync(run_calibration_async)
+
     @abc.abstractmethod
     def get_sampler(self) -> 'cg.ProcessorSampler':
         """Returns a sampler backed by the processor."""