Source code for braket.analog_hamiltonian_simulator.rydberg.validators.shifting_field

# 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.local_detuning import LocalDetuning
from pydantic.v1.class_validators 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 LocalDetuningValidator(LocalDetuning): capabilities: CapabilitiesConstants
[docs] @root_validator(pre=True, skip_on_failure=True) def magnitude_pattern_is_not_uniform(cls, values): magnitude = values["magnitude"] pattern = magnitude["pattern"] if isinstance(pattern, str): raise ValueError(f"Pattern of shifting field must be not be a string - {pattern}") return values
[docs] @root_validator(pre=True, skip_on_failure=True) def magnitude_pattern_within_bounds(cls, values): magnitude = values["magnitude"] capabilities = values["capabilities"] pattern = magnitude["pattern"] for index, pattern_value in enumerate(pattern): if (pattern_value < capabilities.MAGNITUDE_PATTERN_VALUE_MIN) or ( pattern_value > capabilities.MAGNITUDE_PATTERN_VALUE_MAX ): raise ValueError( f"magnitude pattern value {index} is {pattern_value}; it must be between " f"{capabilities.MAGNITUDE_PATTERN_VALUE_MIN} and " f"{capabilities.MAGNITUDE_PATTERN_VALUE_MAX} (inclusive)." ) return values
[docs] @root_validator(pre=True, skip_on_failure=True) def magnitude_values_within_range(cls, values): magnitude = values["magnitude"] capabilities = values["capabilities"] magnitude_values = magnitude["time_series"]["values"] validate_value_range_with_warning( magnitude_values, capabilities.LOCAL_MAGNITUDE_SEQUENCE_VALUE_MIN, capabilities.LOCAL_MAGNITUDE_SEQUENCE_VALUE_MAX, "magnitude", ) return values