# Copyright Amazon.com Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from braket.ir.ahs.driving_field import DrivingField
from pydantic.v1 import root_validator
from braket.analog_hamiltonian_simulator.rydberg.validators.capabilities_constants import (
CapabilitiesConstants,
)
from braket.analog_hamiltonian_simulator.rydberg.validators.field_validator_util import (
validate_value_range_with_warning,
)
[docs]
class DrivingFieldValidator(DrivingField):
capabilities: CapabilitiesConstants
# The last time point given in each of these `times` arrays must be equal.
[docs]
@root_validator(pre=True, skip_on_failure=True)
def sequences_have_the_same_end_time(cls, values):
fields = {"amplitude", "phase", "detuning"}
end_times = []
for field in fields:
times = values[field]["time_series"]["times"]
if times:
end_times.append(values[field]["time_series"]["times"][-1])
if end_times:
if len(set(end_times)) != 1:
raise ValueError(
f"The last timepoints for all the sequences are not equal. They are {end_times}"
)
return values
[docs]
@root_validator(pre=True, skip_on_failure=True)
def amplitude_values_within_range(cls, values):
amplitude = values["amplitude"]
capabilities = values["capabilities"]
validate_value_range_with_warning(
amplitude["time_series"]["values"],
capabilities.GLOBAL_AMPLITUDE_VALUE_MIN,
capabilities.GLOBAL_AMPLITUDE_VALUE_MAX,
"amplitude",
)
return values
# Validators for phase
# Validators for detuning
[docs]
@root_validator(pre=True, skip_on_failure=True)
def detuning_values_within_range(cls, values):
detuning = values["detuning"]
capabilities = values["capabilities"]
validate_value_range_with_warning(
detuning["time_series"]["values"],
capabilities.GLOBAL_DETUNING_VALUE_MIN,
capabilities.GLOBAL_DETUNING_VALUE_MAX,
"detuning",
)
return values