from ....Internal.Core import Core
from ....Internal.CommandsGroup import CommandsGroup
from ....Internal.StructBase import StructBase
from ....Internal.ArgStruct import ArgStruct
# noinspection PyPep8Naming,PyAttributeOutsideInit,SpellCheckingInspection
[docs]
class AverageCls:
"""Average commands group definition. 3 total commands, 0 Subgroups, 3 group commands"""
def __init__(self, core: Core, parent):
self._core = core
self._cmd_group = CommandsGroup("average", core, parent)
# noinspection PyTypeChecker
[docs]
class ResultData(StructBase):
"""Response structure. Fields: \n
- Reliability: int: decimal 'Reliability indicator'
- Out_Of_Tolerance: int: decimal Out of tolerance result, i.e. percentage of measurement intervals of the statistic count for power dynamics measurements exceeding the specified power dynamics limits. Unit: %
- Off_Power_Before: float: float OFF power mean value for subframe before preamble without transient period Unit: dBm
- On_Power_Rms: float: float ON power mean value over preamble Unit: dBm
- On_Power_Peak: float: float ON power peak value within preamble Unit: dBm
- Off_Power_After: float: float OFF power mean value for subframe after preamble without transient period Unit: dBm"""
__meta_args_list = [
ArgStruct.scalar_int('Reliability', 'Reliability'),
ArgStruct.scalar_int('Out_Of_Tolerance'),
ArgStruct.scalar_float('Off_Power_Before'),
ArgStruct.scalar_float('On_Power_Rms'),
ArgStruct.scalar_float('On_Power_Peak'),
ArgStruct.scalar_float('Off_Power_After')]
def __init__(self):
StructBase.__init__(self, self)
self.Reliability: int = None
self.Out_Of_Tolerance: int = None
self.Off_Power_Before: float = None
self.On_Power_Rms: float = None
self.On_Power_Peak: float = None
self.Off_Power_After: float = None
[docs]
def read(self) -> ResultData:
"""SCPI: READ:LTE:MEASurement<Instance>:PRACh:PDYNamics:AVERage \n
Snippet: value: ResultData = driver.prach.pdynamics.average.read() \n
Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics
measurement. The values described below are returned by FETCh and READ commands. CALCulate commands return limit check
results instead, one value for each result listed below. \n
:return: structure: for return value, see the help for ResultData structure arguments."""
return self._core.io.query_struct(f'READ:LTE:MEASurement<Instance>:PRACh:PDYNamics:AVERage?', self.__class__.ResultData())
[docs]
def fetch(self) -> ResultData:
"""SCPI: FETCh:LTE:MEASurement<Instance>:PRACh:PDYNamics:AVERage \n
Snippet: value: ResultData = driver.prach.pdynamics.average.fetch() \n
Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics
measurement. The values described below are returned by FETCh and READ commands. CALCulate commands return limit check
results instead, one value for each result listed below. \n
:return: structure: for return value, see the help for ResultData structure arguments."""
return self._core.io.query_struct(f'FETCh:LTE:MEASurement<Instance>:PRACh:PDYNamics:AVERage?', self.__class__.ResultData())
# noinspection PyTypeChecker
[docs]
class CalculateStruct(StructBase):
"""Response structure. Fields: \n
- Reliability: int: decimal 'Reliability indicator'
- Out_Of_Tolerance: int: decimal Out of tolerance result, i.e. percentage of measurement intervals of the statistic count for power dynamics measurements exceeding the specified power dynamics limits. Unit: %
- Off_Power_Before: float or bool: float OFF power mean value for subframe before preamble without transient period Unit: dBm
- On_Power_Rms: float or bool: float ON power mean value over preamble Unit: dBm
- On_Power_Peak: float or bool: float ON power peak value within preamble Unit: dBm
- Off_Power_After: float or bool: float OFF power mean value for subframe after preamble without transient period Unit: dBm"""
__meta_args_list = [
ArgStruct.scalar_int('Reliability', 'Reliability'),
ArgStruct.scalar_int('Out_Of_Tolerance'),
ArgStruct.scalar_float_ext('Off_Power_Before'),
ArgStruct.scalar_float_ext('On_Power_Rms'),
ArgStruct.scalar_float_ext('On_Power_Peak'),
ArgStruct.scalar_float_ext('Off_Power_After')]
def __init__(self):
StructBase.__init__(self, self)
self.Reliability: int = None
self.Out_Of_Tolerance: int = None
self.Off_Power_Before: float or bool = None
self.On_Power_Rms: float or bool = None
self.On_Power_Peak: float or bool = None
self.Off_Power_After: float or bool = None
[docs]
def calculate(self) -> CalculateStruct:
"""SCPI: CALCulate:LTE:MEASurement<Instance>:PRACh:PDYNamics:AVERage \n
Snippet: value: CalculateStruct = driver.prach.pdynamics.average.calculate() \n
Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics
measurement. The values described below are returned by FETCh and READ commands. CALCulate commands return limit check
results instead, one value for each result listed below. \n
:return: structure: for return value, see the help for CalculateStruct structure arguments."""
return self._core.io.query_struct(f'CALCulate:LTE:MEASurement<Instance>:PRACh:PDYNamics:AVERage?', self.__class__.CalculateStruct())