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: 'Reliability indicator'
- Out_Of_Tolerance: int: Out of tolerance result, i.e. the percentage of measurement intervals of the statistic count for power measurements exceeding the specified power limits.
- Off_Power_Before: float: No parameter help available
- On_Power_Rms: float: No parameter help available
- On_Power_Peak: float: No parameter help available
- Off_Power_After: float: No parameter help available"""
__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>:MEValuation:PDYNamics:AVERage \n
Snippet: value: ResultData = driver.lteMeas.multiEval.pdynamics.average.read() \n
Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics
measurement. A single result table row is returned, from left to right. The meaning of the values depends on the selected
time mask, as follows:
Table Header: Time mask / <Power1> / <Power2> / <Power3> / <Power4> \n
- General on / off / OFF power (before) / ON power RMS / ON power peak / OFF power (after)
- PUCCH / PUSCH / SRS / SRS ON / ON power RMS / ON power peak / ON power (after)
- SRS blanking / SRS OFF / ON power RMS / ON power peak / ON power (after)
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>:MEValuation:PDYNamics:AVERage?', self.__class__.ResultData())
[docs]
def fetch(self) -> ResultData:
"""SCPI: FETCh:LTE:MEASurement<Instance>:MEValuation:PDYNamics:AVERage \n
Snippet: value: ResultData = driver.lteMeas.multiEval.pdynamics.average.fetch() \n
Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics
measurement. A single result table row is returned, from left to right. The meaning of the values depends on the selected
time mask, as follows:
Table Header: Time mask / <Power1> / <Power2> / <Power3> / <Power4> \n
- General on / off / OFF power (before) / ON power RMS / ON power peak / OFF power (after)
- PUCCH / PUSCH / SRS / SRS ON / ON power RMS / ON power peak / ON power (after)
- SRS blanking / SRS OFF / ON power RMS / ON power peak / ON power (after)
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>:MEValuation:PDYNamics:AVERage?', self.__class__.ResultData())
# noinspection PyTypeChecker
[docs]
class CalculateStruct(StructBase):
"""Response structure. Fields: \n
- Reliability: int: 'Reliability indicator'
- Out_Of_Tolerance: int: Out of tolerance result, i.e. the percentage of measurement intervals of the statistic count for power measurements exceeding the specified power limits.
- Off_Power_Before: float or bool: No parameter help available
- On_Power_Rms: float or bool: No parameter help available
- On_Power_Peak: float or bool: No parameter help available
- Off_Power_After: float or bool: No parameter help available"""
__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>:MEValuation:PDYNamics:AVERage \n
Snippet: value: CalculateStruct = driver.lteMeas.multiEval.pdynamics.average.calculate() \n
Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics
measurement. A single result table row is returned, from left to right. The meaning of the values depends on the selected
time mask, as follows:
Table Header: Time mask / <Power1> / <Power2> / <Power3> / <Power4> \n
- General on / off / OFF power (before) / ON power RMS / ON power peak / OFF power (after)
- PUCCH / PUSCH / SRS / SRS ON / ON power RMS / ON power peak / ON power (after)
- SRS blanking / SRS OFF / ON power RMS / ON power peak / ON power (after)
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>:MEValuation:PDYNamics:AVERage?', self.__class__.CalculateStruct())