class PulseBackendConfigurationSchema(QasmBackendConfigurationSchema):
"""Schema for pulse backend"""
# Required properties.
open_pulse = Boolean(required=True, validate=OneOf([True]))
n_uchannels = Integer(required=True, validate=Range(min=0))
u_channel_lo = List(
Nested(UchannelLOSchema,
validate=Length(min=1),
required=True,
many=True))
meas_levels = List(Integer(), validate=Length(min=1), required=True)
qubit_lo_range = List(List(Float(validate=Range(min=0)),
validate=Length(equal=2)),
required=True)
meas_lo_range = List(List(Float(validate=Range(min=0)),
validate=Length(equal=2)),
required=True)
dt = Float(required=True, validate=Range(min=0)) # pylint: disable=invalid-name
dtm = Float(required=True, validate=Range(min=0))
rep_times = List(Float(validate=Range(min=0)), required=True)
meas_kernels = List(String(), required=True)
discriminators = List(String(), required=True)
# Optional properties.
meas_map = List(List(Integer(), validate=Length(min=1)))
channel_bandwidth = List(List(Float(), validate=Length(equal=2)))
acquisition_latency = List(List(Integer()))
conditional_latency = List(List(Integer()))
hamiltonian = PulseHamiltonianSchema()
class JobResponseSchema(BaseSchema):
"""Schema for IBMQJob.
Schema for an `IBMQJob`. The following conventions are in use in order to
provide enough flexibility in regards to attributes:
* the "Required properties" reflect attributes that will always be present
in the model.
* the "Optional properties with a default value" reflect attributes that
are always present in the model, but might contain uninitialized values
depending on the state of the job.
* some properties are prepended by underscore due to name clashes and extra
constraints in the IBMQJob class (for example, existing IBMQJob methods
that have the same name as a response field).
The schema is used for GET Jobs, GET Jobs/{id}, and POST Jobs responses.
"""
# pylint: disable=invalid-name
# Required properties.
_creation_date = DateTime(required=True)
kind = Enum(required=True, enum_cls=ApiJobKind)
_job_id = String(required=True)
_api_status = Enum(required=True, enum_cls=ApiJobStatus)
# Optional properties with a default value.
_name = String(missing=None)
shots = Integer(validate=Range(min=0), missing=None)
_time_per_step = Dict(keys=String, values=String, missing=None)
_result = Nested(ResultSchema, missing=None)
_qobj = Nested(QobjSchema, missing=None)
_error = Nested(JobResponseErrorSchema, missing=None)
# Optional properties
_backend_info = Nested(JobResponseBackendSchema)
allow_object_storage = Boolean()
error = String()
@pre_load
def preprocess_field_names(self, data, **_): # type: ignore
"""Pre-process the job response fields.
Rename selected fields of the job response due to name clashes, and
convert from camel-case the rest of the fields.
TODO: when updating to terra 0.10, check if changes related to
marshmallow 3 allow to use directly `data_key`, as in 0.9 terra
duplicates the unknown keys.
"""
rename_map = {}
for field_name in data:
if field_name in FIELDS_MAP:
rename_map[field_name] = FIELDS_MAP[field_name]
else:
rename_map[field_name] = to_python_identifier(field_name)
for old_name, new_name in rename_map.items():
data[new_name] = data.pop(old_name)
return data
class BackendConfigurationSchema(BaseSchema):
"""Schema for BackendConfiguration."""
# Required properties.
backend_name = String(required=True)
backend_version = String(required=True,
validate=Regexp("[0-9]+.[0-9]+.[0-9]+$"))
n_qubits = Integer(required=True, validate=Range(min=1))
basis_gates = List(String(), required=True, validate=Length(min=1))
gates = Nested(GateConfigSchema,
required=True,
many=True,
validate=Length(min=1))
local = Boolean(required=True)
simulator = Boolean(required=True)
conditional = Boolean(required=True)
memory = Boolean(required=True)
max_shots = Integer(required=True, validate=Range(min=1))
open_pulse = Boolean(required=True)
# Optional properties.
max_experiments = Integer(validate=Range(min=1))
sample_name = String()
coupling_map = List(List(Integer(), validate=Length(min=1)),
validate=Length(min=1),
allow_none=True)
n_registers = Integer(validate=Range(min=1))
register_map = List(List(Integer(validate=OneOf([0, 1])),
validate=Length(min=1)),
validate=Length(min=1))
configurable = Boolean()
credits_required = Boolean()
online_date = DateTime()
display_name = String()
description = String()
tags = List(String())
class BackendStatusSchema(BaseSchema):
"""Schema for BackendStatus."""
# Required properties.
backend_name = String(required=True)
backend_version = String(required=True,
validate=Regexp("[0-9]+.[0-9]+.[0-9]+$"))
operational = Boolean(required=True)
pending_jobs = Integer(required=True, validate=Range(min=0))
status_msg = String(required=True)
class RunConfigSchema(BaseSchema):
"""Schema for RunConfig."""
# Required properties.
# None
# Optional properties.
shots = Integer(validate=Range(min=1))
max_credits = Integer(validate=Range(
min=3, max=10)) # TODO: can we check the range
seed = Integer()
memory = Boolean() # set default to be False
class JobResponseSchema(BaseSchema):
"""Schema for ``IBMQJob``.
The following conventions are in use in order to provide enough
flexibility in regards to attributes:
* the "Required properties" reflect attributes that will always be present
in the model.
* the "Optional properties with a default value" reflect attributes that
are always present in the model, but might contain uninitialized values
depending on the state of the job.
* some properties are prepended by underscore due to name clashes and extra
constraints in the ``IBMQJob`` class (for example, existing ``IBMQJob``
methods that have the same name as a response field).
The schema is used for ``GET /Jobs``, ``GET /Jobs/{id}``, and ``POST /Jobs``
responses.
"""
# pylint: disable=invalid-name
# Required properties.
_creation_date = DateTime(required=True)
_job_id = String(required=True)
_api_status = Enum(required=True, enum_cls=ApiJobStatus)
# Optional properties with a default value.
kind = Enum(enum_cls=ApiJobKind, missing=None)
_name = String(missing=None)
_time_per_step = Dict(keys=String, values=String, missing=None)
_result = Nested(ResultSchema, missing=None)
_qobj = Raw(missing=None)
_error = Nested(JobResponseErrorSchema, missing=None)
_tags = List(String, missing=[])
_run_mode = String(missing=None)
# Optional properties
_backend_info = Nested(JobResponseBackendSchema)
allow_object_storage = Boolean()
@pre_load
def preprocess_field_names(self, data, **_): # type: ignore
"""Pre-process the job response fields.
Rename selected fields of the job response due to name clashes, and
convert the rest of the fields to Python convention.
TODO: when updating to terra 0.10, check if changes related to
marshmallow 3 allow to use directly `data_key`, as in 0.9 terra
duplicates the unknown keys.
"""
return map_field_names(FIELDS_MAP, data)
class ResultSchema(BaseSchema):
"""Schema for Result."""
# Required fields.
backend_name = String(required=True)
backend_version = String(required=True,
validate=Regexp('[0-9]+.[0-9]+.[0-9]+$'))
qobj_id = String(required=True)
job_id = String(required=True)
success = Boolean(required=True)
results = Nested(ExperimentResultSchema, required=True, many=True)
# Optional fields.
date = DateTime()
status = String()
header = Nested(ObjSchema)
class GateConfigSchema(BaseSchema):
"""Schema for GateConfig."""
# Required properties.
name = String(required=True)
parameters = List(String(), required=True)
qasm_def = String(required=True)
# Optional properties.
coupling_map = List(List(Integer(), validate=Length(min=1)),
validate=Length(min=1))
latency_map = List(List(Integer(validate=OneOf([0, 1])),
validate=Length(min=1)),
validate=Length(min=1))
conditional = Boolean()
description = String()
class ExperimentResultSchema(BaseSchema):
"""Schema for ExperimentResult."""
# Required fields.
shots = ByType([
Integer(),
List(Integer(validate=Range(min=1)), validate=Length(equal=2))
],
required=True)
success = Boolean(required=True)
data = Nested(ExperimentResultDataSchema, required=True)
# Optional fields.
status = String()
seed = Integer()
meas_return = String(validate=OneOf(['single', 'avg']))
header = Nested(ObjSchema)
class ExperimentResultSchema(BaseSchema):
"""Schema for ExperimentResult."""
# Required fields.
shots = ByType([Integer(), List(Integer(validate=Range(min=1)),
validate=Length(equal=2))],
required=True)
success = Boolean(required=True)
data = Nested(ExperimentResultDataSchema, required=True)
# Optional fields.
status = String()
seed = Integer()
meas_level = Integer(validate=Range(min=0, max=2))
meas_return = String(validate=OneOf(choices=(MeasReturnType.AVERAGE,
MeasReturnType.SINGLE)))
header = Nested(ObjSchema)
class ProjectResponseSchema(BaseSchema):
"""Nested schema for ProjectsResponseSchema"""
# Required properties.
isDefault = Boolean(required=True)
class QasmBackendConfigurationSchema(BackendConfigurationSchema):
"""Schema for Qasm backend."""
open_pulse = Boolean(required=True, validate=OneOf([False]))
