blob: 24ac060093343483cacb2fd4e18057676ae2ff64 [file] [log] [blame]
# Copyright 2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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 devlib.instrument import MeasurementType, MEASUREMENT_TYPES
class DerivedMetric(object):
__slots__ = ['name', 'value', 'measurement_type']
@property
def units(self):
return self.measurement_type.units
def __init__(self, name, value, measurement_type):
self.name = name
self.value = value
if isinstance(measurement_type, MeasurementType):
self.measurement_type = measurement_type
else:
try:
self.measurement_type = MEASUREMENT_TYPES[measurement_type]
except KeyError:
msg = 'Unknown measurement type: {}'
raise ValueError(msg.format(measurement_type))
def __cmp__(self, other):
if hasattr(other, 'value'):
return cmp(self.value, other.value)
else:
return cmp(self.value, other)
def __str__(self):
if self.units:
return '{}: {} {}'.format(self.name, self.value, self.units)
else:
return '{}: {}'.format(self.name, self.value)
__repr__ = __str__
class DerivedMeasurements(object):
def process(self, measurements_csv):
return []
def process_raw(self, *args):
return []