From 801f18f86719eab6121bf1eb8027aadfaea90f00 Mon Sep 17 00:00:00 2001
From: Anthony Romaniello <aromaniello@ntia.gov>
Date: Tue, 23 Aug 2022 11:00:22 -0600
Subject: [PATCH 1/4] Add --py3-plus flag for pyupgrade

---
 .pre-commit-config.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index f6d622b9..cf545d16 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -21,6 +21,7 @@ repos:
     rev: v2.34.0
     hooks:
       - id: pyupgrade
+        args: ["--py3-plus"]
   - repo: https://github.com/pycqa/isort
     rev: 5.10.1
     hooks:

From cbb42325d1557f7ef5922cda35bedbf7db32c21c Mon Sep 17 00:00:00 2001
From: Anthony Romaniello <aromaniello@ntia.gov>
Date: Tue, 23 Aug 2022 11:00:50 -0600
Subject: [PATCH 2/4] pre-commit run --all-files

---
 .markdownlint.yaml                            |   2 +-
 scos_actions/actions/__init__.py              |   9 +-
 .../actions/acquire_single_freq_fft.py        |  54 +++++----
 .../actions/acquire_single_freq_tdomain_iq.py |  31 ++---
 .../acquire_stepped_freq_tdomain_iq.py        |  26 +++--
 scos_actions/actions/interfaces/action.py     |  14 +--
 .../actions/interfaces/measurement_action.py  |  32 +++--
 scos_actions/actions/logger.py                |   1 -
 scos_actions/actions/monitor_sigan.py         |   4 +-
 .../preselector_control/enable_antenna.py     |   4 +-
 .../enable_noise_diode_off.py                 |   4 +-
 .../enable_noise_diode_on.py                  |   5 +-
 scos_actions/actions/sync_gps.py              |   4 +-
 .../tests/test_acquire_single_freq_fft.py     |   5 +-
 .../actions/tests/test_preselector.py         |   2 +-
 scos_actions/actions/tests/utils.py           |   1 +
 scos_actions/calibration.py                   |  65 ++++++-----
 scos_actions/capabilities/__init__.py         |   7 +-
 .../configs/sensor_calibration_example.json   |   2 +-
 .../configs/sigan_calibration_example.json    |   2 +-
 scos_actions/discover/__init__.py             |  13 ++-
 scos_actions/discover/tests/test_yaml.py      |   5 +-
 scos_actions/discover/yaml.py                 |   6 +-
 scos_actions/hardware/__init__.py             |  11 +-
 scos_actions/hardware/mocks/mock_sigan.py     |   6 +-
 scos_actions/hardware/sigan_iface.py          |  30 ++---
 .../annotations/calibration_annotation.py     |  28 ++---
 .../metadata/annotations/fft_annotation.py    |  23 ++--
 .../metadata/annotations/sensor_annotation.py |  20 ++--
 .../annotations/time_domain_annotation.py     |   4 +-
 scos_actions/metadata/measurement_global.py   |  29 +++--
 scos_actions/metadata/metadata.py             |   2 +-
 scos_actions/metadata/sigmf_builder.py        |  24 ++--
 scos_actions/settings.py                      |  35 +++---
 scos_actions/signal_processing/apd.py         |   4 +-
 scos_actions/signal_processing/calibration.py |  12 +-
 .../signal_processing/power_analysis.py       |  11 +-
 scos_actions/tests/test_calibration.py        | 109 ++++++++++++------
 scos_actions/tests/test_utils.py              |  36 ++++--
 scos_actions/utils.py                         |  27 +++--
 40 files changed, 400 insertions(+), 309 deletions(-)

diff --git a/.markdownlint.yaml b/.markdownlint.yaml
index d7265749..035730ee 100644
--- a/.markdownlint.yaml
+++ b/.markdownlint.yaml
@@ -1,3 +1,3 @@
 default: true
 MD013:
-  line_length: 88
\ No newline at end of file
+  line_length: 88
diff --git a/scos_actions/actions/__init__.py b/scos_actions/actions/__init__.py
index 9b55316e..89c5a01d 100644
--- a/scos_actions/actions/__init__.py
+++ b/scos_actions/actions/__init__.py
@@ -3,18 +3,11 @@
 from .acquire_stepped_freq_tdomain_iq import SteppedFrequencyTimeDomainIqAcquisition
 from .calibrate_y_factor import YFactorCalibration
 
-
-
-
-
 # Map a class name to an action class
 # The YAML loader can key an object with parameters on these class names
 action_classes = {
     "single_frequency_fft": SingleFrequencyFftAcquisition,
     "stepped_frequency_time_domain_iq": SteppedFrequencyTimeDomainIqAcquisition,
     "single_frequency_time_domain_iq": SingleFrequencyTimeDomainIqAcquisition,
-    "y_factor_cal": YFactorCalibration
+    "y_factor_cal": YFactorCalibration,
 }
-
-
-
diff --git a/scos_actions/actions/acquire_single_freq_fft.py b/scos_actions/actions/acquire_single_freq_fft.py
index d6299c56..5d7d4ffd 100644
--- a/scos_actions/actions/acquire_single_freq_fft.py
+++ b/scos_actions/actions/acquire_single_freq_fft.py
@@ -87,8 +87,16 @@
 """
 
 import logging
+
+from numpy import float32, ndarray
+
 from scos_actions import utils
 from scos_actions.actions.interfaces.measurement_action import MeasurementAction
+from scos_actions.hardware import gps as mock_gps
+from scos_actions.metadata.annotations.fft_annotation import (
+    FrequencyDomainDetectionAnnotation,
+)
+from scos_actions.metadata.sigmf_builder import Domain, MeasurementType, SigMFBuilder
 from scos_actions.signal_processing.fft import (
     get_fft,
     get_fft_enbw,
@@ -96,18 +104,16 @@
     get_fft_window,
     get_fft_window_correction,
 )
-from scos_actions.metadata.sigmf_builder import Domain, MeasurementType, SigMFBuilder
-from scos_actions.metadata.annotations.fft_annotation import FrequencyDomainDetectionAnnotation
-from scos_actions.hardware import gps as mock_gps
-
-from scos_actions.utils import get_parameter
 from scos_actions.signal_processing.power_analysis import (
     apply_power_detector,
     calculate_power_watts,
     create_power_detector,
 )
-from scos_actions.signal_processing.unit_conversion import convert_watts_to_dBm, convert_linear_to_dB
-from numpy import float32, ndarray
+from scos_actions.signal_processing.unit_conversion import (
+    convert_linear_to_dB,
+    convert_watts_to_dBm,
+)
+from scos_actions.utils import get_parameter
 
 logger = logging.getLogger(__name__)
 
@@ -164,25 +170,27 @@ def execute(self, schedule_entry, task_id) -> dict:
         m4s_result = self.apply_m4s(measurement_result)
 
         # Save measurement results
-        measurement_result['data'] = m4s_result
-        measurement_result['start_time'] = start_time
-        measurement_result['end_time'] = utils.get_datetime_str_now()
-        measurement_result['enbw'] = get_fft_enbw(self.fft_window, sample_rate_Hz)
+        measurement_result["data"] = m4s_result
+        measurement_result["start_time"] = start_time
+        measurement_result["end_time"] = utils.get_datetime_str_now()
+        measurement_result["enbw"] = get_fft_enbw(self.fft_window, sample_rate_Hz)
         frequencies = get_fft_frequencies(
             self.fft_size, sample_rate_Hz, self.frequency_Hz
         )
         measurement_result.update(self.parameters)
-        measurement_result['description'] = self.description
-        measurement_result['domain'] = Domain.FREQUENCY.value
-        measurement_result['frequency_start'] = frequencies[0]
-        measurement_result['frequency_stop'] = frequencies[-1]
-        measurement_result['frequency_step'] = frequencies[1] - frequencies[0]
-        measurement_result['window'] = self.fft_window_type
-        measurement_result['calibration_datetime'] = self.sigan.sensor_calibration_data['calibration_datetime']
-        measurement_result['task_id'] = task_id
-        measurement_result['measurement_type'] = MeasurementType.SINGLE_FREQUENCY.value
-        measurement_result['sigan_cal'] = self.sigan.sigan_calibration_data
-        measurement_result['sensor_cal'] = self.sigan.sensor_calibration_data
+        measurement_result["description"] = self.description
+        measurement_result["domain"] = Domain.FREQUENCY.value
+        measurement_result["frequency_start"] = frequencies[0]
+        measurement_result["frequency_stop"] = frequencies[-1]
+        measurement_result["frequency_step"] = frequencies[1] - frequencies[0]
+        measurement_result["window"] = self.fft_window_type
+        measurement_result["calibration_datetime"] = self.sigan.sensor_calibration_data[
+            "calibration_datetime"
+        ]
+        measurement_result["task_id"] = task_id
+        measurement_result["measurement_type"] = MeasurementType.SINGLE_FREQUENCY.value
+        measurement_result["sigan_cal"] = self.sigan.sigan_calibration_data
+        measurement_result["sensor_cal"] = self.sigan.sensor_calibration_data
         return measurement_result
 
     def apply_m4s(self, measurement_result: dict) -> ndarray:
@@ -202,7 +210,7 @@ def apply_m4s(self, measurement_result: dict) -> ndarray:
         #   RF/Baseband power conversion (-3 dB)
         #   FFT window amplitude correction
         m4s_result -= 3
-        m4s_result += 2. * convert_linear_to_dB(self.fft_window_acf)
+        m4s_result += 2.0 * convert_linear_to_dB(self.fft_window_acf)
         return m4s_result
 
     @property
diff --git a/scos_actions/actions/acquire_single_freq_tdomain_iq.py b/scos_actions/actions/acquire_single_freq_tdomain_iq.py
index 3e3b89ee..2ed3ec2b 100644
--- a/scos_actions/actions/acquire_single_freq_tdomain_iq.py
+++ b/scos_actions/actions/acquire_single_freq_tdomain_iq.py
@@ -33,13 +33,16 @@
 
 import logging
 
+from numpy import complex64
+
 from scos_actions import utils
-from scos_actions.utils import get_parameter
 from scos_actions.actions.interfaces.measurement_action import MeasurementAction
-from scos_actions.metadata.sigmf_builder import Domain, MeasurementType, SigMFBuilder
 from scos_actions.hardware import gps as mock_gps
-from scos_actions.metadata.annotations.time_domain_annotation import TimeDomainAnnotation
-from numpy import complex64
+from scos_actions.metadata.annotations.time_domain_annotation import (
+    TimeDomainAnnotation,
+)
+from scos_actions.metadata.sigmf_builder import Domain, MeasurementType, SigMFBuilder
+from scos_actions.utils import get_parameter
 
 logger = logging.getLogger(__name__)
 
@@ -83,17 +86,19 @@ def execute(self, schedule_entry, task_id) -> dict:
         sample_rate = self.sigan.sample_rate
         num_samples = int(sample_rate * self.duration_ms * 1e-3)
         measurement_result = self.acquire_data(num_samples, self.nskip)
-        measurement_result['start_time'] = start_time
+        measurement_result["start_time"] = start_time
         end_time = utils.get_datetime_str_now()
         measurement_result.update(self.parameters)
-        measurement_result['end_time'] = end_time
-        measurement_result['domain'] = Domain.TIME.value
-        measurement_result['measurement_type'] = MeasurementType.SINGLE_FREQUENCY.value
-        measurement_result['task_id'] = task_id
-        measurement_result['calibration_datetime'] = self.sigan.sensor_calibration_data['calibration_datetime']
-        measurement_result['description'] = self.description
-        measurement_result['sigan_cal'] = self.sigan.sigan_calibration_data
-        measurement_result['sensor_cal'] = self.sigan.sensor_calibration_data
+        measurement_result["end_time"] = end_time
+        measurement_result["domain"] = Domain.TIME.value
+        measurement_result["measurement_type"] = MeasurementType.SINGLE_FREQUENCY.value
+        measurement_result["task_id"] = task_id
+        measurement_result["calibration_datetime"] = self.sigan.sensor_calibration_data[
+            "calibration_datetime"
+        ]
+        measurement_result["description"] = self.description
+        measurement_result["sigan_cal"] = self.sigan.sigan_calibration_data
+        measurement_result["sensor_cal"] = self.sigan.sensor_calibration_data
         return measurement_result
 
     def get_sigmf_builder(self, measurement_result: dict) -> SigMFBuilder:
diff --git a/scos_actions/actions/acquire_stepped_freq_tdomain_iq.py b/scos_actions/actions/acquire_stepped_freq_tdomain_iq.py
index b7fd0fac..733f8802 100644
--- a/scos_actions/actions/acquire_stepped_freq_tdomain_iq.py
+++ b/scos_actions/actions/acquire_stepped_freq_tdomain_iq.py
@@ -43,10 +43,10 @@
 from scos_actions.actions.acquire_single_freq_tdomain_iq import (
     SingleFrequencyTimeDomainIqAcquisition,
 )
-from scos_actions.utils import get_parameter
 from scos_actions.actions.interfaces.signals import measurement_action_completed
-from scos_actions.metadata.sigmf_builder import Domain, MeasurementType
 from scos_actions.hardware import gps as mock_gps
+from scos_actions.metadata.sigmf_builder import Domain, MeasurementType
+from scos_actions.utils import get_parameter
 
 logger = logging.getLogger(__name__)
 
@@ -84,7 +84,7 @@ def __init__(self, parameters, sigan, gps=mock_gps):
 
         # Create iterable parameter set
         self.iterable_params = utils.get_iterable_parameters(parameters)
-        
+
         self.sigan = sigan  # make instance variable to allow mocking
         self.num_center_frequencies = num_center_frequencies
 
@@ -104,15 +104,17 @@ def __call__(self, schedule_entry_json, task_id):
             measurement_result = super().acquire_data(num_samples, nskip)
             measurement_result.update(measurement_params)
             end_time = utils.get_datetime_str_now()
-            measurement_result['start_time'] = start_time
-            measurement_result['end_time'] = end_time
-            measurement_result['domain'] = Domain.TIME.value
-            measurement_result['measurement_type'] = MeasurementType.SINGLE_FREQUENCY.value
-            measurement_result['task_id'] = task_id
-            measurement_result['description'] = self.description
-            measurement_result['name'] = self.name
-            measurement_result['sigan_cal'] = self.sigan.sigan_calibration_data
-            measurement_result['sensor_cal'] = self.sigan.sensor_calibration_data
+            measurement_result["start_time"] = start_time
+            measurement_result["end_time"] = end_time
+            measurement_result["domain"] = Domain.TIME.value
+            measurement_result[
+                "measurement_type"
+            ] = MeasurementType.SINGLE_FREQUENCY.value
+            measurement_result["task_id"] = task_id
+            measurement_result["description"] = self.description
+            measurement_result["name"] = self.name
+            measurement_result["sigan_cal"] = self.sigan.sigan_calibration_data
+            measurement_result["sensor_cal"] = self.sigan.sensor_calibration_data
             sigmf_builder = self.get_sigmf_builder(measurement_result)
             self.create_metadata(
                 sigmf_builder, schedule_entry_json, measurement_result, recording_id
diff --git a/scos_actions/actions/interfaces/action.py b/scos_actions/actions/interfaces/action.py
index 6abb7cba..d34cd67c 100644
--- a/scos_actions/actions/interfaces/action.py
+++ b/scos_actions/actions/interfaces/action.py
@@ -2,11 +2,11 @@
 from abc import ABC, abstractmethod
 from copy import deepcopy
 
-from scos_actions.utils import get_parameter
-from scos_actions.hardware import gps as mock_gps
-from scos_actions.hardware import sigan as mock_sigan
 from scos_actions.capabilities import capabilities
+from scos_actions.hardware import gps as mock_gps
 from scos_actions.hardware import preselector
+from scos_actions.hardware import sigan as mock_sigan
+from scos_actions.utils import get_parameter
 
 logger = logging.getLogger(__name__)
 
@@ -29,13 +29,14 @@ class Action(ABC):
         added to the task result's detail field.
 
     """
-    PRESELECTOR_PATH_KEY='rf_path'
+
+    PRESELECTOR_PATH_KEY = "rf_path"
 
     def __init__(self, parameters, sigan=mock_sigan, gps=mock_gps):
         self.parameters = deepcopy(parameters)
         self.sigan = sigan
         self.gps = gps
-        self.sensor_definition = capabilities['sensor']
+        self.sensor_definition = capabilities["sensor"]
 
     def configure(self, measurement_params: dict):
         self.configure_sigan(measurement_params)
@@ -72,6 +73,3 @@ def name(self):
     @abstractmethod
     def __call__(self, schedule_entry, task_id):
         pass
-
-
-
diff --git a/scos_actions/actions/interfaces/measurement_action.py b/scos_actions/actions/interfaces/measurement_action.py
index 359842de..4e9fd620 100644
--- a/scos_actions/actions/interfaces/measurement_action.py
+++ b/scos_actions/actions/interfaces/measurement_action.py
@@ -1,13 +1,15 @@
 import logging
-
 from abc import abstractmethod
+
 from scos_actions.actions.interfaces.action import Action
+from scos_actions.actions.interfaces.signals import measurement_action_completed
 from scos_actions.hardware import gps as mock_gps
 from scos_actions.hardware import sigan as mock_sigan
-from scos_actions.actions.interfaces.signals import measurement_action_completed
-from scos_actions.metadata.annotations.calibration_annotation import CalibrationAnnotation
-from scos_actions.metadata.measurement_global import MeasurementMetadata
+from scos_actions.metadata.annotations.calibration_annotation import (
+    CalibrationAnnotation,
+)
 from scos_actions.metadata.annotations.sensor_annotation import SensorAnnotation
+from scos_actions.metadata.measurement_global import MeasurementMetadata
 from scos_actions.metadata.sigmf_builder import SigMFBuilder
 
 logger = logging.getLogger(__name__)
@@ -38,18 +40,28 @@ def get_sigmf_builder(self, measurement_result) -> SigMFBuilder:
         sigmf_builder = SigMFBuilder()
         self.received_samples = len(measurement_result["data"].flatten())
         calibration_annotation = CalibrationAnnotation(0, self.received_samples)
-        sigmf_builder.add_metadata_generator(type(calibration_annotation).__name__, calibration_annotation)
+        sigmf_builder.add_metadata_generator(
+            type(calibration_annotation).__name__, calibration_annotation
+        )
         measurement_metadata = MeasurementMetadata()
-        sigmf_builder.add_metadata_generator(type(measurement_metadata).__name__, measurement_metadata)
+        sigmf_builder.add_metadata_generator(
+            type(measurement_metadata).__name__, measurement_metadata
+        )
         sensor_annotation = SensorAnnotation(0, self.received_samples)
-        sigmf_builder.add_metadata_generator(type(sensor_annotation).__name__, sensor_annotation)
+        sigmf_builder.add_metadata_generator(
+            type(sensor_annotation).__name__, sensor_annotation
+        )
         return sigmf_builder
 
-    def create_metadata(self, sigmf_builder, schedule_entry, measurement_result, recording=None):
+    def create_metadata(
+        self, sigmf_builder, schedule_entry, measurement_result, recording=None
+    ):
         sigmf_builder.set_base_sigmf_global(
             schedule_entry,
             self.sensor_definition,
-            measurement_result, recording, self.is_complex()
+            measurement_result,
+            recording,
+            self.is_complex(),
         )
         sigmf_builder.add_sigmf_capture(sigmf_builder, measurement_result)
         sigmf_builder.build(measurement_result)
@@ -87,4 +99,4 @@ def is_complex(self) -> bool:
 
     @abstractmethod
     def execute(self, schedule_entry, task_id):
-        pass
\ No newline at end of file
+        pass
diff --git a/scos_actions/actions/logger.py b/scos_actions/actions/logger.py
index f76afe97..cd687402 100644
--- a/scos_actions/actions/logger.py
+++ b/scos_actions/actions/logger.py
@@ -30,4 +30,3 @@ def __call__(self, schedule_entry, task_id):
         logger.log(
             level=self.loglvl, msg=msg.format(name=schedule_entry_name, tid=task_id)
         )
-
diff --git a/scos_actions/actions/monitor_sigan.py b/scos_actions/actions/monitor_sigan.py
index 31cdd44f..5e182ed9 100644
--- a/scos_actions/actions/monitor_sigan.py
+++ b/scos_actions/actions/monitor_sigan.py
@@ -13,7 +13,7 @@ class MonitorSignalAnalyzer(Action):
     """Monitor signal analyzer connection and restart container if unreachable."""
 
     def __init__(self, sigan, parameters={}, gps=mock_gps):
-        super().__init__(parameters=parameters,sigan=sigan, gps=gps)
+        super().__init__(parameters=parameters, sigan=sigan, gps=gps)
 
     def __call__(self, schedule_entry_json, task_id):
         logger.debug("Performing signal analyzer health check")
@@ -30,4 +30,4 @@ def __call__(self, schedule_entry_json, task_id):
             logger.info("signal analyzer healthy")
         else:
             logger.warning("signal analyzer unhealthy")
-            monitor_action_completed.send(sender=self.__class__, sigan_healthy=False)
\ No newline at end of file
+            monitor_action_completed.send(sender=self.__class__, sigan_healthy=False)
diff --git a/scos_actions/actions/preselector_control/enable_antenna.py b/scos_actions/actions/preselector_control/enable_antenna.py
index 2bbd0c7f..6ad7ac39 100644
--- a/scos_actions/actions/preselector_control/enable_antenna.py
+++ b/scos_actions/actions/preselector_control/enable_antenna.py
@@ -12,8 +12,8 @@ class EnableAntenna(Action):
     """Set the preselector to the antenna"""
 
     def __init__(self, sigan):
-        super().__init__(parameters={'name':'enable_antenna'}, sigan=sigan)
+        super().__init__(parameters={"name": "enable_antenna"}, sigan=sigan)
 
     def __call__(self, schedule_entry_json, task_id):
         logger.debug("Enabling antenna")
-        preselector.set_state('antenna')
+        preselector.set_state("antenna")
diff --git a/scos_actions/actions/preselector_control/enable_noise_diode_off.py b/scos_actions/actions/preselector_control/enable_noise_diode_off.py
index a90ec964..8adf5520 100644
--- a/scos_actions/actions/preselector_control/enable_noise_diode_off.py
+++ b/scos_actions/actions/preselector_control/enable_noise_diode_off.py
@@ -12,8 +12,8 @@ class EnableNoiseDiodeOff(Action):
     """Set the preselector to noise diode off"""
 
     def __init__(self, sigan):
-        super().__init__(parameters={'name': 'enable_noise_diode_off'}, sigan=sigan)
+        super().__init__(parameters={"name": "enable_noise_diode_off"}, sigan=sigan)
 
     def __call__(self, schedule_entry_json, task_id):
         logger.debug("Setting noise diode OFF")
-        preselector.set_state('noise_diode_off')
+        preselector.set_state("noise_diode_off")
diff --git a/scos_actions/actions/preselector_control/enable_noise_diode_on.py b/scos_actions/actions/preselector_control/enable_noise_diode_on.py
index 628175b0..744613d9 100644
--- a/scos_actions/actions/preselector_control/enable_noise_diode_on.py
+++ b/scos_actions/actions/preselector_control/enable_noise_diode_on.py
@@ -12,9 +12,8 @@ class EnableNoiseDiodeOn(Action):
     """Set the preselector to noise diode on"""
 
     def __init__(self, sigan):
-        super().__init__(parameters={'name': 'enable_noise_diode_on'}, sigan=sigan)
+        super().__init__(parameters={"name": "enable_noise_diode_on"}, sigan=sigan)
 
     def __call__(self, schedule_entry_json, task_id):
         logger.debug("Setting noise diode ON")
-        preselector.set_state('noise_diode_on')
-
+        preselector.set_state("noise_diode_on")
diff --git a/scos_actions/actions/sync_gps.py b/scos_actions/actions/sync_gps.py
index 220969ae..7f5318cf 100644
--- a/scos_actions/actions/sync_gps.py
+++ b/scos_actions/actions/sync_gps.py
@@ -13,7 +13,7 @@
 class SyncGps(Action):
     """Query the GPS and synchronize time and location."""
 
-    def __init__(self,gps, parameters={}, sigan=mock_sigan):
+    def __init__(self, gps, parameters={}, sigan=mock_sigan):
         super().__init__(parameters=parameters, sigan=sigan, gps=gps)
 
     def __call__(self, schedule_entry_json, task_id):
@@ -35,4 +35,4 @@ def __call__(self, schedule_entry_json, task_id):
             longitude=longitude,
             height=height,
             gps=True,
-        )
\ No newline at end of file
+        )
diff --git a/scos_actions/actions/tests/test_acquire_single_freq_fft.py b/scos_actions/actions/tests/test_acquire_single_freq_fft.py
index de733369..040c32ac 100644
--- a/scos_actions/actions/tests/test_acquire_single_freq_fft.py
+++ b/scos_actions/actions/tests/test_acquire_single_freq_fft.py
@@ -1,7 +1,7 @@
 from scos_actions.actions.interfaces.signals import measurement_action_completed
 from scos_actions.actions.tests.utils import SENSOR_DEFINITION, check_metadata_fields
-from scos_actions.discover import test_actions as actions
 from scos_actions.capabilities import capabilities
+from scos_actions.discover import test_actions as actions
 
 SINGLE_FREQUENCY_FFT_ACQUISITION = {
     "name": "test_acq",
@@ -10,7 +10,8 @@
     "interval": None,
     "action": "test_single_frequency_m4s_action",
 }
-capabilities['sensor'] = SENSOR_DEFINITION
+capabilities["sensor"] = SENSOR_DEFINITION
+
 
 def test_detector():
     _data = None
diff --git a/scos_actions/actions/tests/test_preselector.py b/scos_actions/actions/tests/test_preselector.py
index 28f48887..fe80ac4d 100644
--- a/scos_actions/actions/tests/test_preselector.py
+++ b/scos_actions/actions/tests/test_preselector.py
@@ -2,4 +2,4 @@
 
 
 def test_preselector():
-    assert preselector
\ No newline at end of file
+    assert preselector
diff --git a/scos_actions/actions/tests/utils.py b/scos_actions/actions/tests/utils.py
index 08978def..7200690a 100644
--- a/scos_actions/actions/tests/utils.py
+++ b/scos_actions/actions/tests/utils.py
@@ -1,4 +1,5 @@
 from sigmf.validate import validate as sigmf_validate
+
 from scos_actions.capabilities import capabilities
 
 SENSOR_DEFINITION = {
diff --git a/scos_actions/calibration.py b/scos_actions/calibration.py
index 98db5a4c..d56af7f7 100644
--- a/scos_actions/calibration.py
+++ b/scos_actions/calibration.py
@@ -5,13 +5,13 @@
 logger = logging.getLogger(__name__)
 
 
-class Calibration(object):
+class Calibration:
     def __init__(
-            self,
-            calibration_datetime,
-            calibration_params,
-            calibration_data,
-            clock_rate_lookup_by_sample_rate
+        self,
+        calibration_datetime,
+        calibration_params,
+        calibration_data,
+        clock_rate_lookup_by_sample_rate,
     ):
         self.calibration_datetime = calibration_datetime
         self.calibration_parameters = calibration_params
@@ -35,10 +35,12 @@ def get_calibration_dict(self, args):
         for i in range(len(args)):
             setting_value = args[i]
             setting = self.calibration_parameters[i]
-            logger.debug('looking up calibration for {} at {}'.format(setting, setting_value))
+            logger.debug(
+                "looking up calibration for {} at {}".format(setting, setting_value)
+            )
             cal_data = filter_by_parameter(cal_data, setting, setting_value)
-            if 'calibration_datetime' not in cal_data:
-                cal_data['calibration_datetime'] = self.calibration_datetime
+            if "calibration_datetime" not in cal_data:
+                cal_data["calibration_datetime"] = self.calibration_datetime
         logger.info("Cal Data: " + str(cal_data))
         return cal_data
 
@@ -47,23 +49,27 @@ def update(self, params, calibration_datetime, gain, noise_figure, temp, file_pa
         for parameter in self.calibration_parameters:
             if parameter in params:
                 value = params[parameter]
-                logger.debug('Updating calibration at {} = {}'.format(parameter, value))
+                logger.debug("Updating calibration at {} = {}".format(parameter, value))
                 cal_data = cal_data[value]
-        cal_data['calibration_datetime'] = calibration_datetime
-        if 'gain_sensor' in cal_data:
-            cal_data['gain_sensor'] = gain
+        cal_data["calibration_datetime"] = calibration_datetime
+        if "gain_sensor" in cal_data:
+            cal_data["gain_sensor"] = gain
         else:
-            raise Exception('Not enough parameters specified to update sensor gain')
-        if 'noise_figure_sensor' in cal_data:
-            cal_data['noise_figure_sensor'] = noise_figure
+            raise Exception("Not enough parameters specified to update sensor gain")
+        if "noise_figure_sensor" in cal_data:
+            cal_data["noise_figure_sensor"] = noise_figure
         else:
-            raise Exception('Not enough parameters specified to update sensor noise figure')
-        cal_data['temperature'] = temp
-        dict = {'calibration_datetime': str(self.calibration_datetime),
-                'calibration_parameters': self.calibration_parameters,
-                'clock_rate_lookup_by_sample_rate': self.clock_rate_lookup_by_sample_rate,
-                'calibration_data': self.calibration_data}
-        with open(file_path, 'w') as outfile:
+            raise Exception(
+                "Not enough parameters specified to update sensor noise figure"
+            )
+        cal_data["temperature"] = temp
+        dict = {
+            "calibration_datetime": str(self.calibration_datetime),
+            "calibration_parameters": self.calibration_parameters,
+            "clock_rate_lookup_by_sample_rate": self.clock_rate_lookup_by_sample_rate,
+            "calibration_data": self.calibration_data,
+        }
+        with open(file_path, "w") as outfile:
             outfile.write(json.dumps(dict))
 
 
@@ -80,11 +86,11 @@ def load_from_json(fname):
     assert "calibration_datetime" in calibration
     assert "calibration_data" in calibration
     assert "clock_rate_lookup_by_sample_rate" in calibration
-    calibration_data = convert_keys(calibration['calibration_data'])
+    calibration_data = convert_keys(calibration["calibration_data"])
     # Create and return the Calibration object
     return Calibration(
         calibration["calibration_datetime"],
-        calibration['calibration_parameters'],
+        calibration["calibration_parameters"],
         calibration_data,
         calibration["clock_rate_lookup_by_sample_rate"],
     )
@@ -116,12 +122,17 @@ def filter_by_parameter(calibrations, parameter, value):
         if filtered_data is None:
             filtered_data = check_ceiling_of_parameter(calibrations, parameter, value)
             if filtered_data is None:
-                raise Exception('No calibration was performed with {} at {}'.format(parameter, value))
+                raise Exception(
+                    "No calibration was performed with {} at {}".format(
+                        parameter, value
+                    )
+                )
     else:
         filtered_data = calibrations[value]
 
     return filtered_data
 
+
 def check_floor_of_parameter(calibrations, parameter, value):
     value = math.floor(value)
     logger.debug("Checking floor value of: " + str(value))
@@ -133,7 +144,7 @@ def check_floor_of_parameter(calibrations, parameter, value):
 
 def check_ceiling_of_parameter(calibrations, parameter, value):
     value = math.ceil(value)
-    logger.debug('Checking ceiling at: ' + str(value))
+    logger.debug("Checking ceiling at: " + str(value))
     if value in calibrations:
         return calibrations[value]
     else:
diff --git a/scos_actions/capabilities/__init__.py b/scos_actions/capabilities/__init__.py
index b93fc7bc..c1d4577d 100644
--- a/scos_actions/capabilities/__init__.py
+++ b/scos_actions/capabilities/__init__.py
@@ -1,18 +1,17 @@
 import logging
 
-from scos_actions.settings import SENSOR_DEFINITION_FILE
-from scos_actions.settings import FQDN
 from scos_actions import utils
+from scos_actions.settings import FQDN, SENSOR_DEFINITION_FILE
 
 logger = logging.getLogger(__name__)
 capabilities = {}
 
 if SENSOR_DEFINITION_FILE:
-    logger.info('Loading ' + SENSOR_DEFINITION_FILE)
+    logger.info("Loading " + SENSOR_DEFINITION_FILE)
     capabilities["sensor"] = utils.load_from_json(SENSOR_DEFINITION_FILE)
 else:
     capabilities["sensor"] = {}
 if FQDN:
     capabilities["sensor"]["id"] = FQDN
 else:
-    capabilities["sensor"]["id"] = "unknown"
\ No newline at end of file
+    capabilities["sensor"]["id"] = "unknown"
diff --git a/scos_actions/configs/sensor_calibration_example.json b/scos_actions/configs/sensor_calibration_example.json
index 4e8afa3c..40d9b23a 100644
--- a/scos_actions/configs/sensor_calibration_example.json
+++ b/scos_actions/configs/sensor_calibration_example.json
@@ -1 +1 @@
-{"calibration_parameters": ["sample_rate", "frequency", "gain"], "calibration_datetime": "2019-09-20T02:03:38.967055Z", "calibration_data": {"10000000.0": {"650000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 63.41318984193854, "gain_sensor": -11.4609954908858, "noise_figure_preselector": 53.84375778724545, "1db_compression_preselector": 100.0, "gain_preselector": -53.52288239232973, "1db_compression_sensor": 22.88826982982973}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 43.936313078858596, "gain_sensor": 24.21453104658883, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -37.668526285791565, "1db_compression_sensor": -12.01558627670844}}, "660000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 55.60600295988542, "gain_sensor": -3.2419118232375297, "noise_figure_preselector": 43.896824420057754, "1db_compression_preselector": 100.0, "gain_preselector": -45.45918238856349, "1db_compression_sensor": 14.815411445163491}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 32.2556068936354, "gain_sensor": 36.7974615682031, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -25.297182873727742, "1db_compression_sensor": -24.395188069672265}}, "670000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 62.13136963661786, "gain_sensor": -10.243856291137682, "noise_figure_preselector": 50.134820134145635, "1db_compression_preselector": 100.0, "gain_preselector": -52.42376151808989, "1db_compression_sensor": 21.770832193789886}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 41.16137774510788, "gain_sensor": 26.85647212536859, "noise_figure_preselector": 29.26633587609605, "1db_compression_preselector": 100.0, "gain_preselector": -35.15173909017145, "1db_compression_sensor": -14.54889023412855}}, "680000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 54.65809352003993, "gain_sensor": -2.5396624540789503, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -44.71340619028524, "1db_compression_sensor": 14.051318485085243}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 30.424748066654033, "gain_sensor": 37.98341976128384, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -24.02902989408556, "1db_compression_sensor": -25.679857811114438}}, "690000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 48.487776762705096, "gain_sensor": 3.588699580618382, "noise_figure_preselector": 37.98051311806256, "1db_compression_preselector": 100.0, "gain_preselector": -38.49833619371652, "1db_compression_sensor": 7.827090107616524}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 36.81994153372932, "gain_sensor": 31.489208643269137, "noise_figure_preselector": 19.273595066016366, "1db_compression_preselector": 100.0, "gain_preselector": -30.402822229663556, "1db_compression_sensor": -19.314323856436438}}, "700000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 16.65510221579288, "gain_sensor": 37.87321022363967, "noise_figure_preselector": 5.504085300792432, "1db_compression_preselector": 100.0, "gain_preselector": -4.288414660130897, "1db_compression_sensor": -26.39198980686911}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 14.955561968825492, "gain_sensor": 57.73066849030627, "noise_figure_preselector": 0.751947637231813, "1db_compression_preselector": 100.0, "gain_preselector": -4.392361498856886, "1db_compression_sensor": -45.33304296814311}}, "710000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 14.650424323580921, "gain_sensor": 38.286429982262234, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.924382900331466, "1db_compression_sensor": -26.66670789966853}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 11.656843711283472, "gain_sensor": 58.16795842413686, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.84301195157213, "1db_compression_sensor": -45.89667884842786}}, "720000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 17.868691767780277, "gain_sensor": 38.26760950979334, "noise_figure_preselector": 11.84747325907587, "1db_compression_preselector": 100.0, "gain_preselector": -3.850539917527769, "1db_compression_sensor": -26.65123721547223}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 16.802228993016968, "gain_sensor": 58.138006358629085, "noise_figure_preselector": 11.641246367449627, "1db_compression_preselector": 100.0, "gain_preselector": -3.873217868653626, "1db_compression_sensor": -45.880759264346366}}, "730000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 14.003796981414723, "gain_sensor": 38.60610908990602, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.613638667795179, "1db_compression_sensor": -26.79882479820482}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 11.099155745183495, "gain_sensor": 58.51413734041175, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.5421638732903844, "1db_compression_sensor": -46.22609959270961}}, "740000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 16.26759196612838, "gain_sensor": 38.54648817820651, "noise_figure_preselector": 4.031488844131793, "1db_compression_preselector": 100.0, "gain_preselector": -3.562165664958549, "1db_compression_sensor": -26.76098413404145}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 14.737431804231207, "gain_sensor": 58.47058342346831, "noise_figure_preselector": 4.460247694246128, "1db_compression_preselector": 100.0, "gain_preselector": -3.557012916479259, "1db_compression_sensor": -46.225536882520736}}, "750000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 13.628508417180683, "gain_sensor": 38.64098525523293, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.6340649316599354, "1db_compression_sensor": -26.599771200340065}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 10.17879054031593, "gain_sensor": 58.54656374550917, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.622585913588246, "1db_compression_sensor": -46.17425021841175}}, "760000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 15.10447270740697, "gain_sensor": 38.40533445897441, "noise_figure_preselector": 2.611233302248348, "1db_compression_preselector": 100.0, "gain_preselector": -3.7368827799721345, "1db_compression_sensor": -26.40763968502787}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 12.833504459885248, "gain_sensor": 58.156059384765655, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.834980318859593, "1db_compression_sensor": -45.976142146140404}}, "770000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 13.532699369255454, "gain_sensor": 38.46738255585788, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.804867690985354, "1db_compression_sensor": -26.25034110701465}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 10.049845581562352, "gain_sensor": 58.38443616139549, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.8541100333056164, "1db_compression_sensor": -45.971298764694374}}, "780000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 14.864129491745757, "gain_sensor": 38.49236979673021, "noise_figure_preselector": 6.851088742189164, "1db_compression_preselector": 100.0, "gain_preselector": -3.6832023898938573, "1db_compression_sensor": -26.282692741106132}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 12.541677288693393, "gain_sensor": 58.42674539715172, "noise_figure_preselector": 6.62063998330391, "1db_compression_preselector": 100.0, "gain_preselector": -3.6642793982474586, "1db_compression_sensor": -46.17541573275253}}, "790000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 13.93134401530638, "gain_sensor": 38.264994177686376, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.928078313206555, "1db_compression_sensor": -25.948503150793442}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 10.601883714680454, "gain_sensor": 58.24757646150437, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.7858521033328785, "1db_compression_sensor": -46.06812936066712}}, "800000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 15.320759016275943, "gain_sensor": 38.290025440419335, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.8880752157407628, "1db_compression_sensor": -25.899192581259236}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 13.11497852228743, "gain_sensor": 58.25572326724243, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.9212266464455467, "1db_compression_sensor": -45.94704115055445}}, "810000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 14.393487262165323, "gain_sensor": 37.771344667377825, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -4.4737912396019865, "1db_compression_sensor": -25.325522581298014}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 11.059657236004554, "gain_sensor": 57.619147742387874, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -4.551587010821933, "1db_compression_sensor": -45.32702681007807}}, "820000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 28.070552033896263, "gain_sensor": 25.27682423720705, "noise_figure_preselector": 22.105607969985787, "1db_compression_preselector": 100.0, "gain_preselector": -16.859427593669388, "1db_compression_sensor": -12.951932251130607}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 25.487085159839168, "gain_sensor": 45.58614303791775, "noise_figure_preselector": 22.012433773802975, "1db_compression_preselector": 100.0, "gain_preselector": -16.427725334179428, "1db_compression_sensor": -33.46123451062057}}, "830000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 57.105726226149066, "gain_sensor": -5.151582968984279, "noise_figure_preselector": 44.58010009559673, "1db_compression_preselector": 100.0, "gain_preselector": -47.339507310838556, "1db_compression_sensor": 17.51610144213856}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 33.92895738262315, "gain_sensor": 34.06296771497823, "noise_figure_preselector": 20.336285048969238, "1db_compression_preselector": 100.0, "gain_preselector": -28.02095241266636, "1db_compression_sensor": -21.87835345603363}}, "840000000.0": {"40.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 52.465347256268394, "gain_sensor": -0.2709611582237841, "noise_figure_preselector": 44.23570053566581, "1db_compression_preselector": 100.0, "gain_preselector": -42.38313811173865, "1db_compression_sensor": 12.547686219138654}, "60.0": {"enbw_sensor": 8647759.416132875, "noise_figure_sensor": 29.279390250843733, "gain_sensor": 39.216425385646666, "noise_figure_preselector": 24.009643714625636, "1db_compression_preselector": 100.0, 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\ No newline at end of file
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"gain_preselector": -3.726717119223032, "1db_compression_sensor": -26.282692741106132}, "60.0": {"enbw_sensor": 35507044.81753448, "noise_figure_sensor": 10.836299472199201, "gain_sensor": 58.41315830226909, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.698293857269441, "1db_compression_sensor": -46.17541573275253}}, "790000000.0": {"40.0": {"enbw_sensor": 35507044.81753448, "noise_figure_sensor": 14.670480179163718, "gain_sensor": 38.25929161722755, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.962616634967695, "1db_compression_sensor": -25.948503150793442}, "60.0": {"enbw_sensor": 35507044.81753448, "noise_figure_sensor": 11.558161718664962, "gain_sensor": 58.24980510652376, "noise_figure_preselector": 0.0, "1db_compression_preselector": 100.0, "gain_preselector": -3.8838180379307587, "1db_compression_sensor": -46.06812936066712}}, "800000000.0": {"40.0": {"enbw_sensor": 35507044.81753448, 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"gain_sensor": -0.7955440982391195, "noise_figure_preselector": 45.7943110905218, "1db_compression_preselector": 100.0, "gain_preselector": -42.94614067978631, "1db_compression_sensor": 16.65660073976543}, "60.0": {"enbw_sensor": 35507044.81753448, "noise_figure_sensor": 30.021560857094386, "gain_sensor": 38.69688926799172, "noise_figure_preselector": 26.232226802556667, "1db_compression_preselector": 100.0, "gain_preselector": -23.355658831098886, "1db_compression_sensor": -21.766963534011452}}}}, "clock_rate_lookup_by_sample_rate": [{"sample_rate": 10000000.0, "clock_frequency": 40000000.0}, {"sample_rate": 15360000.0, "clock_frequency": 30720000.0}, {"sample_rate": 40000000.0, "clock_frequency": 40000000.0}], "calibration_frequency_divisions": [], "sensor_uid": "DEFAULT"}
diff --git a/scos_actions/configs/sigan_calibration_example.json b/scos_actions/configs/sigan_calibration_example.json
index 6c083efb..042e96f7 100644
--- a/scos_actions/configs/sigan_calibration_example.json
+++ b/scos_actions/configs/sigan_calibration_example.json
@@ -1 +1 @@
-{"calibration_parameters": ["sample_rate", "frequency", "gain"], "calibration_datetime": "2019-09-20T02:03:38.967055Z", "calibration_data": {"10000000.0": {"400000000.0": {"40.0": {"1db_compression_sigan": -30.24344985, "gain_sigan": 42.352148198698444, "noise_figure_sigan": 9.85601791688, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.268449849999996, "gain_sigan": 61.58304756372051, "noise_figure_sigan": 7.27119611771, "enbw_sigan": 9410000.0}}, "410000000.0": {"40.0": {"1db_compression_sigan": -30.2593858047, "gain_sigan": 42.415283869891965, "noise_figure_sigan": 10.2718617038, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.287685804700004, "gain_sigan": 61.72249900141699, "noise_figure_sigan": 7.91389551979, "enbw_sigan": 9410000.0}}, "420000000.0": {"40.0": {"1db_compression_sigan": -30.2753217594, "gain_sigan": 41.98991476335045, "noise_figure_sigan": 9.89385800826, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.3069217594, 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"enbw_sigan": 9410000.0}}, "460000000.0": {"40.0": {"1db_compression_sigan": -30.3390655782, "gain_sigan": 42.085008200667176, "noise_figure_sigan": 11.4153209057, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.3838655782, "gain_sigan": 61.46964705900003, "noise_figure_sigan": 9.52524083759, "enbw_sigan": 9410000.0}}, "470000000.0": {"40.0": {"1db_compression_sigan": -30.3550015329, "gain_sigan": 42.18942240236611, "noise_figure_sigan": 12.9926647648, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.4031015329, "gain_sigan": 61.72422548690873, "noise_figure_sigan": 11.6577040659, "enbw_sigan": 9410000.0}}, "480000000.0": {"40.0": {"1db_compression_sigan": -30.370937487599996, "gain_sigan": 42.08259019253751, "noise_figure_sigan": 12.1397989562, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.4223374876, "gain_sigan": 61.51794374026156, "noise_figure_sigan": 10.4949828282, "enbw_sigan": 9410000.0}}, "490000000.0": {"40.0": {"1db_compression_sigan": -30.3868734423, "gain_sigan": 42.08933065028425, "noise_figure_sigan": 12.6787614357, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.441573442300005, "gain_sigan": 61.64398047360162, "noise_figure_sigan": 11.1032296623, "enbw_sigan": 9410000.0}}, "500000000.0": {"40.0": {"1db_compression_sigan": -30.402809397, "gain_sigan": 42.217131188924704, "noise_figure_sigan": 12.0904622855, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.460809397000006, "gain_sigan": 61.78102826480078, "noise_figure_sigan": 10.3432636076, "enbw_sigan": 9410000.0}}, "510000000.0": {"40.0": {"1db_compression_sigan": -30.4214105231, "gain_sigan": 42.1708205417583, "noise_figure_sigan": 11.4393665322, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.4790105231, "gain_sigan": 61.7198471419264, "noise_figure_sigan": 9.53268391804, "enbw_sigan": 9410000.0}}, "520000000.0": {"40.0": {"1db_compression_sigan": -30.440011649199995, "gain_sigan": 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{"1db_compression_sigan": -49.60641840580001, "gain_sigan": 61.84116746632297, "noise_figure_sigan": 6.74604345067, "enbw_sigan": 9410000.0}}, "590000000.0": {"40.0": {"1db_compression_sigan": -30.570219531899998, "gain_sigan": 41.81140850523728, "noise_figure_sigan": 9.84936905607, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.62461953190001, "gain_sigan": 61.58329665217085, "noise_figure_sigan": 6.21482196879, "enbw_sigan": 9410000.0}}, "600000000.0": {"40.0": {"1db_compression_sigan": -30.588820658, "gain_sigan": 42.29071214169621, "noise_figure_sigan": 9.47551543304, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.642820658000005, "gain_sigan": 62.04968523916892, "noise_figure_sigan": 6.02378453442, "enbw_sigan": 9410000.0}}, "610000000.0": {"40.0": {"1db_compression_sigan": -30.597979038899997, "gain_sigan": 42.06755311825039, "noise_figure_sigan": 9.46882693567, "enbw_sigan": 9410000.0}, "60.0": {"1db_compression_sigan": -49.65107903890001, 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\ No newline at end of file
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"noise_figure_sigan": 17.083442572, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.5483708157, "gain_sigan": 52.262147287223726, "noise_figure_sigan": 11.6623807106, "enbw_sigan": 35437000.0}}, "4640000000.0": {"40.0": {"1db_compression_sigan": -19.5285623776, "gain_sigan": 31.211656213684947, "noise_figure_sigan": 17.1018028322, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.5547623776, "gain_sigan": 52.128129520676985, "noise_figure_sigan": 11.7761297454, "enbw_sigan": 35437000.0}}, "4650000000.0": {"40.0": {"1db_compression_sigan": -19.5376539395, "gain_sigan": 30.663868944789797, "noise_figure_sigan": 17.5822738234, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.5611539395, "gain_sigan": 51.717238236482025, "noise_figure_sigan": 12.2196221298, "enbw_sigan": 35437000.0}}, "4660000000.0": {"40.0": {"1db_compression_sigan": -19.5467455014, "gain_sigan": 31.326723792751316, "noise_figure_sigan": 17.0274878345, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.5675455014, "gain_sigan": 52.35052410923221, "noise_figure_sigan": 11.5666666871, "enbw_sigan": 35437000.0}}, "4670000000.0": {"40.0": {"1db_compression_sigan": -19.5558370633, "gain_sigan": 31.471068927104938, "noise_figure_sigan": 16.8421412988, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.5739370633, "gain_sigan": 52.48044883584063, "noise_figure_sigan": 11.4660663672, "enbw_sigan": 35437000.0}}, "4680000000.0": {"40.0": {"1db_compression_sigan": -19.5649286252, "gain_sigan": 31.602630861474196, "noise_figure_sigan": 16.6694578869, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.5803286252, "gain_sigan": 52.60889906392283, "noise_figure_sigan": 11.358329263, "enbw_sigan": 35437000.0}}, "4690000000.0": {"40.0": {"1db_compression_sigan": -19.5740201871, "gain_sigan": 31.397946328208832, "noise_figure_sigan": 16.8775150045, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.586720187100006, "gain_sigan": 52.4102381687076, "noise_figure_sigan": 11.5466484301, "enbw_sigan": 35437000.0}}, "4700000000.0": {"40.0": {"1db_compression_sigan": -19.583111749, "gain_sigan": 31.771680288478095, "noise_figure_sigan": 16.4787211223, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.593111749, "gain_sigan": 52.75504593228018, "noise_figure_sigan": 11.1747750396, "enbw_sigan": 35437000.0}}, "4710000000.0": {"40.0": {"1db_compression_sigan": -19.598335551399998, "gain_sigan": 31.647600509480526, "noise_figure_sigan": 16.6310608331, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.617135551400004, "gain_sigan": 52.52926860413788, "noise_figure_sigan": 11.4417749632, "enbw_sigan": 35437000.0}}, "4720000000.0": {"40.0": {"1db_compression_sigan": -19.6135593538, "gain_sigan": 31.683410364149594, "noise_figure_sigan": 16.6141404167, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.641159353800006, "gain_sigan": 52.73291352478967, "noise_figure_sigan": 11.1942226408, "enbw_sigan": 35437000.0}}, "4730000000.0": {"40.0": {"1db_compression_sigan": -19.6287831562, "gain_sigan": 31.999156291787564, "noise_figure_sigan": 16.376438775, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.6651831562, "gain_sigan": 52.88922547496276, "noise_figure_sigan": 11.0626980483, "enbw_sigan": 35437000.0}}, "4740000000.0": {"40.0": {"1db_compression_sigan": -19.644006958600002, "gain_sigan": 31.932840003114826, "noise_figure_sigan": 16.3570545504, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.689206958599996, "gain_sigan": 52.87553835873166, "noise_figure_sigan": 11.0161117658, "enbw_sigan": 35437000.0}}, "4750000000.0": {"40.0": {"1db_compression_sigan": -19.659230761, "gain_sigan": 31.50069530579092, "noise_figure_sigan": 16.8274645461, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.713230761, "gain_sigan": 52.40964150208465, "noise_figure_sigan": 11.4959222151, "enbw_sigan": 35437000.0}}, "4760000000.0": {"40.0": {"1db_compression_sigan": -19.6744545634, "gain_sigan": 31.440953001752902, "noise_figure_sigan": 16.8070916959, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.7372545634, "gain_sigan": 52.438669863381605, "noise_figure_sigan": 11.4462624228, "enbw_sigan": 35437000.0}}, "4770000000.0": {"40.0": {"1db_compression_sigan": -19.6896783658, "gain_sigan": 31.75666001246178, "noise_figure_sigan": 16.5466137406, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.761278365799996, "gain_sigan": 52.65549519352097, "noise_figure_sigan": 11.2899084041, "enbw_sigan": 35437000.0}}, "4780000000.0": {"40.0": {"1db_compression_sigan": -19.7049021682, "gain_sigan": 31.7822033214237, "noise_figure_sigan": 16.4936027225, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.7853021682, "gain_sigan": 52.85423377555078, "noise_figure_sigan": 11.1035832126, "enbw_sigan": 35437000.0}}, "4790000000.0": {"40.0": {"1db_compression_sigan": -19.720125970599998, "gain_sigan": 31.997393583266785, "noise_figure_sigan": 16.2865138573, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.8093259706, "gain_sigan": 52.93416231311346, "noise_figure_sigan": 10.9741606064, "enbw_sigan": 35437000.0}}, "4800000000.0": {"40.0": {"1db_compression_sigan": -19.735349773, "gain_sigan": 31.973240593792283, "noise_figure_sigan": 16.2979933881, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.833349772999995, "gain_sigan": 52.94713980310946, "noise_figure_sigan": 10.9525132604, "enbw_sigan": 35437000.0}}, "4810000000.0": {"40.0": {"1db_compression_sigan": -19.735702927699997, "gain_sigan": 31.755744108869976, "noise_figure_sigan": 16.4947109713, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.72040292769999, "gain_sigan": 52.69973790093046, "noise_figure_sigan": 11.215953303, "enbw_sigan": 35437000.0}}, "4820000000.0": {"40.0": {"1db_compression_sigan": -19.7360560824, "gain_sigan": 31.24322026541553, "noise_figure_sigan": 17.0182934254, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.6074560824, "gain_sigan": 52.2734586999984, "noise_figure_sigan": 11.6187625796, "enbw_sigan": 35437000.0}}, "4830000000.0": {"40.0": {"1db_compression_sigan": -19.7364092371, "gain_sigan": 31.303756731192657, "noise_figure_sigan": 16.9475713135, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.4945092371, "gain_sigan": 52.254684116298094, "noise_figure_sigan": 11.6650025783, "enbw_sigan": 35437000.0}}, "4840000000.0": {"40.0": {"1db_compression_sigan": -19.7367623918, "gain_sigan": 31.758162950013038, "noise_figure_sigan": 16.6726666156, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.381562391799996, "gain_sigan": 52.47246189010812, "noise_figure_sigan": 11.3970547947, "enbw_sigan": 35437000.0}}, "4850000000.0": {"40.0": {"1db_compression_sigan": -19.7371155465, "gain_sigan": 31.71839775273483, "noise_figure_sigan": 16.6413065648, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.2686155465, "gain_sigan": 52.57607711968578, "noise_figure_sigan": 11.2842950642, "enbw_sigan": 35437000.0}}, "4860000000.0": {"40.0": {"1db_compression_sigan": -19.7374687012, "gain_sigan": 31.60029057343894, "noise_figure_sigan": 16.6787299762, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.1556687012, "gain_sigan": 52.502768602203986, "noise_figure_sigan": 11.3730310409, "enbw_sigan": 35437000.0}}, "4870000000.0": {"40.0": {"1db_compression_sigan": -19.737821855900002, "gain_sigan": 31.54979047870983, "noise_figure_sigan": 16.7359443968, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -40.0427218559, "gain_sigan": 52.34301506808146, "noise_figure_sigan": 11.5157973702, "enbw_sigan": 35437000.0}}, "4880000000.0": {"40.0": {"1db_compression_sigan": -19.738175010600003, "gain_sigan": 31.522797617198606, "noise_figure_sigan": 16.7206470959, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.9297750106, "gain_sigan": 52.42175687299624, "noise_figure_sigan": 11.4146764112, "enbw_sigan": 35437000.0}}, "4890000000.0": {"40.0": {"1db_compression_sigan": -19.738528165300004, "gain_sigan": 31.29790447179684, "noise_figure_sigan": 16.9862032092, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.8168281653, "gain_sigan": 52.18742776840223, "noise_figure_sigan": 11.6710611352, "enbw_sigan": 35437000.0}}, "4900000000.0": {"40.0": {"1db_compression_sigan": -19.73888132, "gain_sigan": 31.430144864883445, "noise_figure_sigan": 16.8551351248, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.70388132, "gain_sigan": 52.24127865966012, "noise_figure_sigan": 11.5727479008, "enbw_sigan": 35437000.0}}, "4910000000.0": {"40.0": {"1db_compression_sigan": -19.6862134737, "gain_sigan": 31.52898926522242, "noise_figure_sigan": 16.722873143, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.66051347370001, "gain_sigan": 52.35125302273848, "noise_figure_sigan": 11.4783437353, "enbw_sigan": 35437000.0}}, "4920000000.0": {"40.0": {"1db_compression_sigan": -19.6335456274, "gain_sigan": 31.423675400898382, "noise_figure_sigan": 16.8027501739, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.6171456274, "gain_sigan": 52.218901083843335, "noise_figure_sigan": 11.5563334702, "enbw_sigan": 35437000.0}}, "4930000000.0": {"40.0": {"1db_compression_sigan": -19.5808777811, "gain_sigan": 31.09382557796308, "noise_figure_sigan": 17.1758324151, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.5737777811, "gain_sigan": 51.86535045433121, "noise_figure_sigan": 11.9092090303, "enbw_sigan": 35437000.0}}, "4940000000.0": {"40.0": {"1db_compression_sigan": -19.528209934800003, "gain_sigan": 31.15656421854787, "noise_figure_sigan": 17.0824846331, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.5304099348, "gain_sigan": 51.964504104187036, "noise_figure_sigan": 11.767854809, "enbw_sigan": 35437000.0}}, "4950000000.0": {"40.0": {"1db_compression_sigan": -19.4755420885, "gain_sigan": 31.402722953214194, "noise_figure_sigan": 16.8932516092, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.487042088500004, "gain_sigan": 52.12749746817521, "noise_figure_sigan": 11.5936094505, "enbw_sigan": 35437000.0}}, "4960000000.0": {"40.0": {"1db_compression_sigan": -19.422874242200002, "gain_sigan": 31.454846889879306, "noise_figure_sigan": 16.9076823579, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.443674242200004, "gain_sigan": 52.155428340454044, "noise_figure_sigan": 11.6421209357, "enbw_sigan": 35437000.0}}, "4970000000.0": {"40.0": {"1db_compression_sigan": -19.3702063959, "gain_sigan": 31.548616081367967, "noise_figure_sigan": 16.8781419099, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.4003063959, "gain_sigan": 52.17626092303389, "noise_figure_sigan": 12.0151270049, "enbw_sigan": 35437000.0}}, "4980000000.0": {"40.0": {"1db_compression_sigan": -19.317538549600002, "gain_sigan": 31.46383530728371, "noise_figure_sigan": 17.0818202062, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.3569385496, "gain_sigan": 52.13889334460342, "noise_figure_sigan": 12.4131436391, "enbw_sigan": 35437000.0}}, "4990000000.0": {"40.0": {"1db_compression_sigan": -19.2648707033, "gain_sigan": 31.042333166444507, "noise_figure_sigan": 17.5038107957, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.3135707033, "gain_sigan": 51.645827388196466, "noise_figure_sigan": 12.9886128324, "enbw_sigan": 35437000.0}}, "5000000000.0": {"40.0": {"1db_compression_sigan": -19.212202857, "gain_sigan": 30.858949943080496, "noise_figure_sigan": 17.6217065519, "enbw_sigan": 35437000.0}, "60.0": {"1db_compression_sigan": -39.270202857, "gain_sigan": 51.49276212914914, "noise_figure_sigan": 12.9205209256, "enbw_sigan": 35437000.0}}}}, "clock_rate_lookup_by_sample_rate": [{"sample_rate": 10000000.0, "clock_frequency": 40000000.0}, {"sample_rate": 15360000.0, "clock_frequency": 30720000.0}, {"sample_rate": 40000000.0, "clock_frequency": 40000000.0}], "calibration_frequency_divisions": [{"lower_bound": 1299999999, "upper_bound": 1300000000}, {"lower_bound": 2199999998, "upper_bound": 2200000000}, {"lower_bound": 3999999995, "upper_bound": 4000000000}], "sensor_uid": "DEFAULT"}
diff --git a/scos_actions/discover/__init__.py b/scos_actions/discover/__init__.py
index b68e7e66..701dcb4c 100644
--- a/scos_actions/discover/__init__.py
+++ b/scos_actions/discover/__init__.py
@@ -1,8 +1,8 @@
 # from scos_actions.actions import action_classes
 from scos_actions.actions import action_classes
+from scos_actions.actions.logger import Logger
 from scos_actions.actions.monitor_sigan import MonitorSignalAnalyzer
 from scos_actions.actions.sync_gps import SyncGps
-from scos_actions.actions.logger import Logger
 from scos_actions.discover.yaml import load_from_yaml
 from scos_actions.hardware import gps as mock_gps
 from scos_actions.hardware import sigan as mock_sigan
@@ -12,15 +12,20 @@
 test_actions = {
     "test_sync_gps": SyncGps(gps=mock_gps),
     "test_monitor_sigan": MonitorSignalAnalyzer(sigan=mock_sigan),
-    "logger": Logger()
+    "logger": Logger(),
 }
 
 
-def init(action_classes=action_classes, sigan=mock_sigan, gps=mock_gps, yaml_dir=ACTION_DEFINITIONS_DIR):
+def init(
+    action_classes=action_classes,
+    sigan=mock_sigan,
+    gps=mock_gps,
+    yaml_dir=ACTION_DEFINITIONS_DIR,
+):
     yaml_actions = {}
     yaml_test_actions = {}
     for key, value in load_from_yaml(
-            action_classes, sigan=sigan, gps=gps, yaml_dir=yaml_dir
+        action_classes, sigan=sigan, gps=gps, yaml_dir=yaml_dir
     ).items():
         if key.startswith("test_"):
             yaml_test_actions[key] = value
diff --git a/scos_actions/discover/tests/test_yaml.py b/scos_actions/discover/tests/test_yaml.py
index 8ecae4db..cbc40b9c 100644
--- a/scos_actions/discover/tests/test_yaml.py
+++ b/scos_actions/discover/tests/test_yaml.py
@@ -5,8 +5,7 @@
 
 from scos_actions import actions
 from scos_actions.discover.yaml import load_from_yaml
-from scos_actions.hardware import gps
-from scos_actions.hardware import sigan
+from scos_actions.hardware import gps, sigan
 
 INVALID_YAML = b"""\
 single_frequency_fft:
@@ -38,7 +37,7 @@ def _test_load_from_yaml_check_error(yaml_to_write, expected_error):
             tmpfile.seek(0)
             # Now try to load the invalid yaml file, expecting an error
             with pytest.raises(expected_error):
-                load_from_yaml(actions.action_classes, sigan,gps=gps, yaml_dir=tmpdir)
+                load_from_yaml(actions.action_classes, sigan, gps=gps, yaml_dir=tmpdir)
 
 
 def test_load_from_yaml_parse_error():
diff --git a/scos_actions/discover/yaml.py b/scos_actions/discover/yaml.py
index 55a0c620..517ef27b 100644
--- a/scos_actions/discover/yaml.py
+++ b/scos_actions/discover/yaml.py
@@ -17,8 +17,10 @@ def load_from_yaml(action_classes, sigan, gps, yaml_dir=ACTION_DEFINITIONS_DIR):
         definition = yaml.load(yaml_file)
         for class_name, parameters in definition.items():
             try:
-                logger.debug('Attempting to configure: ' + class_name)
-                action = action_classes[class_name](parameters=parameters, sigan=sigan, gps=gps)
+                logger.debug("Attempting to configure: " + class_name)
+                action = action_classes[class_name](
+                    parameters=parameters, sigan=sigan, gps=gps
+                )
                 parsed_actions[action.name] = action
             except KeyError as exc:
                 err = "Nonexistent action class name {!r} referenced in {!r}"
diff --git a/scos_actions/hardware/__init__.py b/scos_actions/hardware/__init__.py
index bc4c7efe..609e7278 100644
--- a/scos_actions/hardware/__init__.py
+++ b/scos_actions/hardware/__init__.py
@@ -4,9 +4,11 @@
 from scos_actions.capabilities import capabilities
 from scos_actions.hardware.mocks.mock_gps import MockGPS
 from scos_actions.hardware.mocks.mock_sigan import MockSignalAnalyzer
-from scos_actions.settings import PRESELECTOR_CLASS
-from scos_actions.settings import PRESELECTOR_CONFIG_FILE
-from scos_actions.settings import PRESELECTOR_MODULE
+from scos_actions.settings import (
+    PRESELECTOR_CLASS,
+    PRESELECTOR_CONFIG_FILE,
+    PRESELECTOR_MODULE,
+)
 
 
 def load_preselector(preselector_config_file):
@@ -17,7 +19,7 @@ def load_preselector(preselector_config_file):
 
     preselector_module = importlib.import_module(PRESELECTOR_MODULE)
     preselector_class = getattr(preselector_module, PRESELECTOR_CLASS)
-    preselector = preselector_class(capabilities['sensor'], preselector_config)
+    preselector = preselector_class(capabilities["sensor"], preselector_config)
 
     return preselector
 
@@ -25,4 +27,3 @@ def load_preselector(preselector_config_file):
 sigan = MockSignalAnalyzer(randomize_values=True)
 gps = MockGPS()
 preselector = load_preselector(PRESELECTOR_CONFIG_FILE)
-
diff --git a/scos_actions/hardware/mocks/mock_sigan.py b/scos_actions/hardware/mocks/mock_sigan.py
index 73d866df..09f51d89 100644
--- a/scos_actions/hardware/mocks/mock_sigan.py
+++ b/scos_actions/hardware/mocks/mock_sigan.py
@@ -12,6 +12,7 @@
 tune_result_params = ["actual_dsp_freq", "actual_rf_freq"]
 MockTuneResult = namedtuple("MockTuneResult", tune_result_params)
 
+
 class MockSignalAnalyzer(SignalAnalyzerInterface):
     """
     MockSignalAnalyzer is mock signal analyzer object for testing.
@@ -39,7 +40,6 @@ def __init__(self, randomize_values=False):
         self.times_to_fail_recv = 0
         self.times_failed_recv = 0
 
-
         self.randomize_values = randomize_values
         self.sensor_calibration_data = self.DEFAULT_SENSOR_CALIBRATION
         self.sigan_calibration_data = self.DEFAULT_SIGAN_CALIBRATION
@@ -75,7 +75,9 @@ def gain(self):
     def gain(self, gain):
         self._gain = gain
 
-    def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5, gain_adjust=True):
+    def acquire_time_domain_samples(
+        self, num_samples, num_samples_skip=0, retries=5, gain_adjust=True
+    ):
         self.sigan_overload = False
         self._capture_time = None
         self._num_samples_skip = num_samples_skip
diff --git a/scos_actions/hardware/sigan_iface.py b/scos_actions/hardware/sigan_iface.py
index 8b41ced7..c5697d87 100644
--- a/scos_actions/hardware/sigan_iface.py
+++ b/scos_actions/hardware/sigan_iface.py
@@ -1,14 +1,15 @@
 import copy
 from abc import ABC, abstractmethod
+
 from scos_actions.calibration import Calibration
-from scos_actions.settings import sensor_calibration
-from scos_actions.settings import sigan_calibration
-from scos_actions.utils import convert_string_to_millisecond_iso_format
-from scos_actions.utils import get_datetime_str_now
+from scos_actions.settings import sensor_calibration, sigan_calibration
+from scos_actions.utils import (
+    convert_string_to_millisecond_iso_format,
+    get_datetime_str_now,
+)
 
 
 class SignalAnalyzerInterface(ABC):
-
     def __init__(self):
         # Define the default calibration dicts
         self.DEFAULT_SIGAN_CALIBRATION = {
@@ -16,7 +17,7 @@ def __init__(self):
             "enbw_sigan": None,  # Defaults to sample rate
             "noise_figure_sigan": 0,
             "1db_compression_sigan": 100,
-            'calibration_datetime': get_datetime_str_now()
+            "calibration_datetime": get_datetime_str_now(),
         }
 
         self.DEFAULT_SENSOR_CALIBRATION = {
@@ -27,7 +28,7 @@ def __init__(self):
             "gain_preselector": 0,
             "noise_figure_preselector": 0,
             "1db_compression_preselector": 100,
-            'calibration_datetime': get_datetime_str_now()
+            "calibration_datetime": get_datetime_str_now(),
         }
         self.sensor_calibration_data = copy.deepcopy(self.DEFAULT_SENSOR_CALIBRATION)
         self.sigan_calibration_data = copy.deepcopy(self.DEFAULT_SIGAN_CALIBRATION)
@@ -36,7 +37,7 @@ def __init__(self):
     def last_calibration_time(self) -> str:
         """Returns the last calibration time from calibration data."""
         return convert_string_to_millisecond_iso_format(
-                sensor_calibration.calibration_datetime
+            sensor_calibration.calibration_datetime
         )
 
     @property
@@ -47,7 +48,11 @@ def is_available(self) -> bool:
 
     @abstractmethod
     def acquire_time_domain_samples(
-            self, num_samples: int, num_samples_skip: int = 0, retries: int = 5, gain_adjust: bool = True
+        self,
+        num_samples: int,
+        num_samples_skip: int = 0,
+        retries: int = 5,
+        gain_adjust: bool = True,
     ) -> dict:
         """
         Acquire time domain IQ samples
@@ -73,15 +78,12 @@ def recompute_calibration_data(self, cal_args: Calibration) -> None:
         self.sensor_calibration_data = self.DEFAULT_SENSOR_CALIBRATION.copy()
         if sensor_calibration is not None:
             self.sensor_calibration_data.update(
-                    sensor_calibration.get_calibration_dict(cal_args)
+                sensor_calibration.get_calibration_dict(cal_args)
             )
 
         # Try and get the sigan calibration data
         self.sigan_calibration_data = self.DEFAULT_SIGAN_CALIBRATION.copy()
         if sigan_calibration is not None:
             self.sigan_calibration_data.update(
-                    sigan_calibration.get_calibration_dict(cal_args)
+                sigan_calibration.get_calibration_dict(cal_args)
             )
-
-
-    
\ No newline at end of file
diff --git a/scos_actions/metadata/annotations/calibration_annotation.py b/scos_actions/metadata/annotations/calibration_annotation.py
index 147f8f69..aa34a2c3 100644
--- a/scos_actions/metadata/annotations/calibration_annotation.py
+++ b/scos_actions/metadata/annotations/calibration_annotation.py
@@ -3,13 +3,12 @@
 
 
 class CalibrationAnnotation(Metadata):
-
     def __init__(self, start, count):
         super().__init__(start, count)
 
-    def create_metadata(self, sigmf_builder:SigMFBuilder, measurement_result: dict):
-        sigan_cal = measurement_result['sigan_cal']
-        sensor_cal = measurement_result['sensor_cal']
+    def create_metadata(self, sigmf_builder: SigMFBuilder, measurement_result: dict):
+        sigan_cal = measurement_result["sigan_cal"]
+        sensor_cal = measurement_result["sensor_cal"]
         annotation = self.create_calibration_annotation(sigan_cal, sensor_cal)
         sigmf_builder.add_annotation(self.start, self.count, annotation)
 
@@ -18,27 +17,20 @@ def create_calibration_annotation(self, sigan_cal, sensor_cal):
         annotation_md = {
             "ntia-core:annotation_type": "CalibrationAnnotation",
             "ntia-sensor:gain_sigan": sigan_cal["gain_sigan"],
-            "ntia-sensor:gain_sensor": sensor_cal['gain_sensor'],
-            "ntia-sensor:noise_figure_sigan": sigan_cal[
-                "noise_figure_sigan"
-            ],
+            "ntia-sensor:gain_sensor": sensor_cal["gain_sensor"],
+            "ntia-sensor:noise_figure_sigan": sigan_cal["noise_figure_sigan"],
             "ntia-sensor:1db_compression_point_sigan": sigan_cal[
                 "1db_compression_sigan"
             ],
             "ntia-sensor:enbw_sigan": sigan_cal["enbw_sigan"],
-            "ntia-sensor:gain_preselector": sensor_cal[
-                "gain_preselector"
-            ],
-            "ntia-sensor:noise_figure_sensor": sensor_cal[
-                "noise_figure_sensor"
-            ],
+            "ntia-sensor:gain_preselector": sensor_cal["gain_preselector"],
+            "ntia-sensor:noise_figure_sensor": sensor_cal["noise_figure_sensor"],
             "ntia-sensor:1db_compression_point_sensor": sensor_cal[
                 "1db_compression_sensor"
             ],
-            "ntia-sensor:enbw_sensor": sensor_cal["enbw_sensor"]
-
+            "ntia-sensor:enbw_sensor": sensor_cal["enbw_sensor"],
         }
-        if 'temperature' in sensor_cal:
-            annotation_md["ntia-sensor:temperature"] =  sensor_cal["temperature"]
+        if "temperature" in sensor_cal:
+            annotation_md["ntia-sensor:temperature"] = sensor_cal["temperature"]
 
         return annotation_md
diff --git a/scos_actions/metadata/annotations/fft_annotation.py b/scos_actions/metadata/annotations/fft_annotation.py
index 85a3ba7a..dbd86cc1 100644
--- a/scos_actions/metadata/annotations/fft_annotation.py
+++ b/scos_actions/metadata/annotations/fft_annotation.py
@@ -3,7 +3,6 @@
 
 
 class FrequencyDomainDetectionAnnotation(Metadata):
-
     def __init__(self, detector, start, count):
         super().__init__(start, count)
         self.detector = detector
@@ -11,15 +10,17 @@ def __init__(self, detector, start, count):
     def create_metadata(self, sigmf_builder: SigMFBuilder, measurement_result):
         metadata = {
             "ntia-core:annotation_type": "FrequencyDomainDetection",
-            "ntia-algorithm:number_of_samples_in_fft": measurement_result['fft_size'],
-            "ntia-algorithm:window": measurement_result['window'],
-            "ntia-algorithm:equivalent_noise_bandwidth": measurement_result['enbw'],
-            "ntia-algorithm:detector": 'fft_' + self.detector,
-            "ntia-algorithm:number_of_ffts": measurement_result['nffts'],
-            "ntia-algorithm:units": 'dBm',
+            "ntia-algorithm:number_of_samples_in_fft": measurement_result["fft_size"],
+            "ntia-algorithm:window": measurement_result["window"],
+            "ntia-algorithm:equivalent_noise_bandwidth": measurement_result["enbw"],
+            "ntia-algorithm:detector": "fft_" + self.detector,
+            "ntia-algorithm:number_of_ffts": measurement_result["nffts"],
+            "ntia-algorithm:units": "dBm",
             "ntia-algorithm:reference": '"preselector input"',
-            "ntia-algorithm:frequency_start": measurement_result['frequency_start'],
-            "ntia-algorithm:frequency_stop": measurement_result['frequency_stop'],
-            "ntia-algorithm:frequency_step": measurement_result['frequency_step'],
+            "ntia-algorithm:frequency_start": measurement_result["frequency_start"],
+            "ntia-algorithm:frequency_stop": measurement_result["frequency_stop"],
+            "ntia-algorithm:frequency_step": measurement_result["frequency_step"],
         }
-        sigmf_builder.add_annotation(self.start, measurement_result['fft_size'], metadata)
+        sigmf_builder.add_annotation(
+            self.start, measurement_result["fft_size"], metadata
+        )
diff --git a/scos_actions/metadata/annotations/sensor_annotation.py b/scos_actions/metadata/annotations/sensor_annotation.py
index b3a8aa8c..de38a8db 100644
--- a/scos_actions/metadata/annotations/sensor_annotation.py
+++ b/scos_actions/metadata/annotations/sensor_annotation.py
@@ -1,19 +1,19 @@
 from scos_actions.metadata.metadata import Metadata
 from scos_actions.metadata.sigmf_builder import SigMFBuilder
 
-class SensorAnnotation(Metadata):
 
+class SensorAnnotation(Metadata):
     def __init__(self, start, count):
-        super().__init__(start,count)
+        super().__init__(start, count)
 
     def create_metadata(self, sigmf_builder: SigMFBuilder, measurement_result):
         metadata = {"ntia-core:annotation_type": "SensorAnnotation"}
-        if 'overload' in measurement_result:
-            metadata["ntia-sensor:overload"] = measurement_result['overload']
-        if 'gain' in measurement_result:
-            metadata["ntia-sensor:gain_setting_sigan"] = measurement_result['gain']
-        if 'attenuation' in measurement_result:
-            metadata["ntia-sensor:attenuation_setting_sigan"] = measurement_result['attenuation']
+        if "overload" in measurement_result:
+            metadata["ntia-sensor:overload"] = measurement_result["overload"]
+        if "gain" in measurement_result:
+            metadata["ntia-sensor:gain_setting_sigan"] = measurement_result["gain"]
+        if "attenuation" in measurement_result:
+            metadata["ntia-sensor:attenuation_setting_sigan"] = measurement_result[
+                "attenuation"
+            ]
         sigmf_builder.add_annotation(self.start, self.count, metadata)
-
-
diff --git a/scos_actions/metadata/annotations/time_domain_annotation.py b/scos_actions/metadata/annotations/time_domain_annotation.py
index 3f2f57c1..0bbd7ad0 100644
--- a/scos_actions/metadata/annotations/time_domain_annotation.py
+++ b/scos_actions/metadata/annotations/time_domain_annotation.py
@@ -1,10 +1,10 @@
 from scos_actions.metadata.metadata import Metadata
 from scos_actions.metadata.sigmf_builder import SigMFBuilder
 
-class TimeDomainAnnotation(Metadata):
 
+class TimeDomainAnnotation(Metadata):
     def __init__(self, start, count):
-        super().__init__(start,count)
+        super().__init__(start, count)
 
     def create_metadata(self, sigmf_builder: SigMFBuilder, measurement_result):
         time_domain_detection_md = {
diff --git a/scos_actions/metadata/measurement_global.py b/scos_actions/metadata/measurement_global.py
index 1c7eb198..86950b91 100644
--- a/scos_actions/metadata/measurement_global.py
+++ b/scos_actions/metadata/measurement_global.py
@@ -3,7 +3,6 @@
 
 
 class MeasurementMetadata(Metadata):
-
     def __init__(self):
         super().__init__()
 
@@ -11,27 +10,27 @@ def create_metadata(self, sigmf_builder: SigMFBuilder, measurement_result: dict)
         freq_low = None
         freq_high = None
 
-        if 'frequency_low' in measurement_result:
-            freq_low = measurement_result['frequency_low']
-        elif 'frequency' in measurement_result:
-            freq_low = measurement_result['frequency']
-            freq_high = measurement_result['frequency']
-        if 'frequency_high' in measurement_result:
-            freq_high = measurement_result['frequency_high']
+        if "frequency_low" in measurement_result:
+            freq_low = measurement_result["frequency_low"]
+        elif "frequency" in measurement_result:
+            freq_low = measurement_result["frequency"]
+            freq_high = measurement_result["frequency"]
+        if "frequency_high" in measurement_result:
+            freq_high = measurement_result["frequency_high"]
 
         if freq_high is None:
-            raise Exception('frequency_high is a required measurement metadata value.')
+            raise Exception("frequency_high is a required measurement metadata value.")
         if freq_low is None:
-            raise Exception('frequency_low is a required measurement metadata value.')
+            raise Exception("frequency_low is a required measurement metadata value.")
 
         sigmf_builder.add_to_global(
             "ntia-core:measurement",
             {
-                "time_start": measurement_result['start_time'],
-                "time_stop": measurement_result['end_time'],
-                "domain": measurement_result['domain'],
-                "measurement_type": measurement_result['measurement_type'],
+                "time_start": measurement_result["start_time"],
+                "time_stop": measurement_result["end_time"],
+                "domain": measurement_result["domain"],
+                "measurement_type": measurement_result["measurement_type"],
                 "frequency_tuned_low": freq_low,
-                "frequency_tuned_high": freq_high
+                "frequency_tuned_high": freq_high,
             },
         )
diff --git a/scos_actions/metadata/metadata.py b/scos_actions/metadata/metadata.py
index 7e73c92e..36139334 100644
--- a/scos_actions/metadata/metadata.py
+++ b/scos_actions/metadata/metadata.py
@@ -1,9 +1,9 @@
 from abc import ABC, abstractmethod
+
 from scos_actions.metadata.sigmf_builder import SigMFBuilder
 
 
 class Metadata(ABC):
-
     def __init__(self, start=None, count=None, recording=None):
         self.start = start
         self.count = count
diff --git a/scos_actions/metadata/sigmf_builder.py b/scos_actions/metadata/sigmf_builder.py
index 63233b9e..a36b69a4 100644
--- a/scos_actions/metadata/sigmf_builder.py
+++ b/scos_actions/metadata/sigmf_builder.py
@@ -65,7 +65,7 @@ def set_recording(self, recording_id):
         self.sigmf_md.set_global_field("ntia-scos:recording", recording_id)
 
     def set_measurement(
-            self, start_time, end_time, domain, measurement_type, frequency
+        self, start_time, end_time, domain, measurement_type, frequency
     ):
         self.sigmf_md.set_global_field(
             "ntia-core:measurement",
@@ -125,18 +125,18 @@ def add_to_global(self, key, value):
         self.sigmf_md.set_global_field(key, value)
 
     def set_base_sigmf_global(
-            self,
-            schedule_entry_json,
-            sensor_def,
-            measurement_result,
-            recording_id=None,
-            is_complex=True,
+        self,
+        schedule_entry_json,
+        sensor_def,
+        measurement_result,
+        recording_id=None,
+        is_complex=True,
     ):
         sample_rate = measurement_result["sample_rate"]
-        if 'calibration_datetime' in measurement_result:
-            self.set_last_calibration_time(measurement_result['calibration_datetime'])
+        if "calibration_datetime" in measurement_result:
+            self.set_last_calibration_time(measurement_result["calibration_datetime"])
 
-        description = measurement_result['description']
+        description = measurement_result["description"]
         self.set_action(
             measurement_result["name"], description, description.splitlines()[0]
         )
@@ -145,7 +145,7 @@ def set_base_sigmf_global(
         self.set_sample_rate(sample_rate)
         self.set_schedule(schedule_entry_json)
         self.set_sensor(sensor_def)
-        self.set_task(measurement_result['task_id'])
+        self.set_task(measurement_result["task_id"])
         if recording_id:
             self.set_recording(recording_id)
 
@@ -158,7 +158,7 @@ def add_metadata_generator(self, key, generator):
         self.metadata_generators[key] = generator
 
     def remove_metadata_generator(self, key):
-        self.metadata_generators.pop(key, '')
+        self.metadata_generators.pop(key, "")
 
     def build(self, measurement_result):
         for metadata_creator in self.metadata_generators.values():
diff --git a/scos_actions/settings.py b/scos_actions/settings.py
index 74b345c5..8a93b96d 100644
--- a/scos_actions/settings.py
+++ b/scos_actions/settings.py
@@ -1,8 +1,9 @@
+import logging
 from os import path
+
 from django.conf import settings
-from scos_actions import calibration
 
-import logging
+from scos_actions import calibration
 
 logger = logging.getLogger(__name__)
 
@@ -23,18 +24,14 @@ def get_sensor_calibration(sensor_cal_file):
     try:
         sensor_cal = calibration.load_from_json(sensor_cal_file)
     except Exception as err:
-        logger.error(
-            "Unable to load sensor calibration data, reverting to none"
-        )
+        logger.error("Unable to load sensor calibration data, reverting to none")
         logger.exception(err)
         sensor_cal = None
     return sensor_cal
 
 
-logger.info('Initializing scos-actions settings')
-CONFIG_DIR = path.join(
-    path.dirname(path.abspath(__file__)), "configs"
-)
+logger.info("Initializing scos-actions settings")
+CONFIG_DIR = path.join(path.dirname(path.abspath(__file__)), "configs")
 
 ACTION_DEFINITIONS_DIR = path.join(
     path.dirname(path.abspath(__file__)), "configs/actions"
@@ -43,24 +40,24 @@ def get_sensor_calibration(sensor_cal_file):
 # set sigan_calibration file and sensor_calibration_file
 if not settings.configured or not hasattr(settings, "SIGAN_CALIBRATION_FILE"):
     logger.warning("Using default sigan cal file.")
-    SIGAN_CALIBRATION_FILE = path.join(CONFIG_DIR, 'sigan_calibration_example.json')
+    SIGAN_CALIBRATION_FILE = path.join(CONFIG_DIR, "sigan_calibration_example.json")
     sigan_calibration = None
 else:
     SIGAN_CALIBRATION_FILE = settings.SIGAN_CALIBRATION_FILE
 if not settings.configured or not hasattr(settings, "SENSOR_CALIBRATION_FILE"):
-    logger.warning('Using default sensor cal file.')
-    SENSOR_CALIBRATION_FILE = path.join(CONFIG_DIR, 'sensor_calibration_example.json')
+    logger.warning("Using default sensor cal file.")
+    SENSOR_CALIBRATION_FILE = path.join(CONFIG_DIR, "sensor_calibration_example.json")
     sensor_calibration = None
 else:
     SENSOR_CALIBRATION_FILE = settings.SENSOR_CALIBRATION_FILE
-    logger.debug('SCOS_ACTIONS: SENSOR_CALIBRATION_FILE: ' + SENSOR_CALIBRATION_FILE)
+    logger.debug("SCOS_ACTIONS: SENSOR_CALIBRATION_FILE: " + SENSOR_CALIBRATION_FILE)
 
 if not settings.configured:
     PRESELECTOR_CONFIG_FILE = None
     SENSOR_DEFINITION_FILE = None
     FQDN = None
-    PRESELECTOR_MODULE = 'its_preselector.web_relay_preselector'
-    PRESELECTOR_CLASS = 'WebRelayPreselector'
+    PRESELECTOR_MODULE = "its_preselector.web_relay_preselector"
+    PRESELECTOR_CLASS = "WebRelayPreselector"
 else:
     MOCK_SIGAN = settings.MOCK_SIGAN
     RUNNING_TESTS = settings.RUNNING_TESTS
@@ -75,13 +72,13 @@ def get_sensor_calibration(sensor_cal_file):
         PRESELECTOR_MODULE = settings.PRESELECTOR_MODULE
         PRESELECTOR_CLASS = settings.PRESELECTOR_CLASS
     else:
-        PRESELECTOR_MODULE = 'its_preselector.web_relay_preselector'
-        PRESELECTOR_CLASS = 'WebRelayPreselector'
+        PRESELECTOR_MODULE = "its_preselector.web_relay_preselector"
+        PRESELECTOR_CLASS = "WebRelayPreselector"
 
 
-logger.info('Loading sensor cal file: ' + SENSOR_CALIBRATION_FILE)
+logger.info("Loading sensor cal file: " + SENSOR_CALIBRATION_FILE)
 sensor_calibration = get_sensor_calibration(SENSOR_CALIBRATION_FILE)
-logger.info('Loading sigan cal file: ' + SIGAN_CALIBRATION_FILE)
+logger.info("Loading sigan cal file: " + SIGAN_CALIBRATION_FILE)
 sigan_calibration = get_sigan_calibration(SIGAN_CALIBRATION_FILE)
 if sensor_calibration:
     logger.info("last sensor cal: " + sensor_calibration.calibration_datetime)
diff --git a/scos_actions/signal_processing/apd.py b/scos_actions/signal_processing/apd.py
index 4600bf8d..8e216f33 100644
--- a/scos_actions/signal_processing/apd.py
+++ b/scos_actions/signal_processing/apd.py
@@ -80,6 +80,8 @@ def sample_ccdf(a: np.ndarray, edges: np.ndarray, density: bool = True) -> np.nd
 
     if density:
         ccdf = ccdf.astype("float64")
-        ne.evaluate("ccdf/a_size", local_dict={'ccdf': ccdf, 'a_size': a.size}, out=ccdf)
+        ne.evaluate(
+            "ccdf/a_size", local_dict={"ccdf": ccdf, "a_size": a.size}, out=ccdf
+        )
 
     return ccdf
diff --git a/scos_actions/signal_processing/calibration.py b/scos_actions/signal_processing/calibration.py
index 96d87dc1..f22f3f35 100644
--- a/scos_actions/signal_processing/calibration.py
+++ b/scos_actions/signal_processing/calibration.py
@@ -1,14 +1,16 @@
-import numpy as np
-from scipy.constants import Boltzmann
 import logging
 from typing import Tuple
+
+import numpy as np
+from scipy.constants import Boltzmann
+
 from scos_actions.hardware import preselector
 from scos_actions.signal_processing.unit_conversion import (
     convert_celsius_to_kelvins,
     convert_dB_to_linear,
     convert_fahrenheit_to_celsius,
     convert_linear_to_dB,
-    convert_watts_to_dBm
+    convert_watts_to_dBm,
 )
 
 logger = logging.getLogger(__name__)
@@ -56,7 +58,9 @@ def y_factor(
         logger.debug(f"Mean power off: {mean_off_dBm:.2f} dBm")
     y = convert_dB_to_linear(mean_on_dBm - mean_off_dBm)
     noise_factor = enr_linear / (y - 1.0)
-    gain_dB = convert_watts_to_dBm(np.mean(pwr_noise_on_watts)) - convert_watts_to_dBm(Boltzmann * temp_kelvins * enbw_hz * (enr_linear + noise_factor))
+    gain_dB = convert_watts_to_dBm(np.mean(pwr_noise_on_watts)) - convert_watts_to_dBm(
+        Boltzmann * temp_kelvins * enbw_hz * (enr_linear + noise_factor)
+    )
     noise_figure_dB = convert_linear_to_dB(noise_factor)
     return noise_figure_dB, gain_dB
 
diff --git a/scos_actions/signal_processing/power_analysis.py b/scos_actions/signal_processing/power_analysis.py
index 78f68577..cff8d215 100644
--- a/scos_actions/signal_processing/power_analysis.py
+++ b/scos_actions/signal_processing/power_analysis.py
@@ -26,7 +26,7 @@ def calculate_power_watts(val_volts, impedance_ohms: float = 50.0):
         returned quantity is always real.
     """
     if np.isscalar(val_volts):
-        power = (np.abs(val_volts) ** 2.) / impedance_ohms
+        power = (np.abs(val_volts) ** 2.0) / impedance_ohms
     else:
         power = ne.evaluate("(abs(val_volts).real**2)/impedance_ohms")
     return power
@@ -52,7 +52,7 @@ def calculate_pseudo_power(val):
         squared). The returned quantity is always real.
     """
     if np.isscalar(val):
-        ps_pwr = np.abs(val) ** 2.
+        ps_pwr = np.abs(val) ** 2.0
     else:
         ps_pwr = ne.evaluate("abs(val).real**2")
     return ps_pwr
@@ -91,7 +91,10 @@ def create_power_detector(name: str, detectors: list) -> EnumMeta:
 
 
 def apply_power_detector(
-    data: np.ndarray, detector: EnumMeta, dtype: type = None, ignore_nan: bool = False,
+    data: np.ndarray,
+    detector: EnumMeta,
+    dtype: type = None,
+    ignore_nan: bool = False,
 ) -> np.ndarray:
     """
     Apply statistical detectors to a 1- or 2-D array of samples.
@@ -138,7 +141,7 @@ def apply_power_detector(
         detector_functions = [np.nanmin, np.nanmax, np.nanmean, np.nanmedian]
     else:
         detector_functions = [np.min, np.max, np.mean, np.median]
-        
+
     # Get functions based on specified detector
     logger.debug(f"Applying power detectors: {detectors}")
     applied_detectors = []
diff --git a/scos_actions/tests/test_calibration.py b/scos_actions/tests/test_calibration.py
index 5af08bbe..032075d0 100644
--- a/scos_actions/tests/test_calibration.py
+++ b/scos_actions/tests/test_calibration.py
@@ -138,8 +138,6 @@ def setup_calibration_file(self, tmpdir):
         )
         cal_data["sensor_uid"] = "SAMPLE_CALIBRATION"
 
-
-
         # Add SR/CF lookup table
         cal_data["clock_rate_lookup_by_sample_rate"] = []
         for sr in self.sample_rates:
@@ -153,7 +151,7 @@ def setup_calibration_file(self, tmpdir):
 
         # Create the JSON architecture for the calibration data
         cal_data["calibration_data"] = {}
-        cal_data['calibration_parameters']=['sample_rate', 'frequency', 'gain']
+        cal_data["calibration_parameters"] = ["sample_rate", "frequency", "gain"]
         for k in range(len(self.sample_rates)):
             cal_data_f = {}
             for i in range(len(frequencies)):
@@ -172,11 +170,10 @@ def setup_calibration_file(self, tmpdir):
                     }
 
                     # Add the generated dicts to the parent lists
-                    cal_data_g[ gains[j]] = deepcopy(cal_data_point)
+                    cal_data_g[gains[j]] = deepcopy(cal_data_point)
                 cal_data_f[frequencies[i]] = deepcopy(cal_data_g)
 
-
-            cal_data["calibration_data"][ self.sample_rates[k]] = deepcopy(cal_data_f)
+            cal_data["calibration_data"][self.sample_rates[k]] = deepcopy(cal_data_f)
 
         # Write the new json file
         with open(self.calibration_file, "w+") as file:
@@ -197,44 +194,71 @@ def setup_calibration_file(self, tmpdir):
         self.g_s = self.gi_s + [self.gain_max]
         self.f_s = self.fi_s + [self.frequency_max]
 
-
         # Don't repeat test setup
         self.setup_complete = True
 
     def test_filter_by_parameter_out_of_range(self):
-        calibrations = {200.0:{'some_cal_data'}, 300.0: {'more cal data'}}
+        calibrations = {200.0: {"some_cal_data"}, 300.0: {"more cal data"}}
         with pytest.raises(Exception) as e_info:
-            cal = calibration.filter_by_parameter(calibrations, 'frequency', 400.0)
-        assert e_info.value.args[0] == 'No calibration was performed with frequency at 400.0'
+            cal = calibration.filter_by_parameter(calibrations, "frequency", 400.0)
+        assert (
+            e_info.value.args[0]
+            == "No calibration was performed with frequency at 400.0"
+        )
 
     def test_filter_by_parameter_in_range_requires_match(self):
-        calibrations = {200.0: {'Gain': 'Gain at 200.0'}, 300.0: {'Gain': 'Gain at 300.0'}}
+        calibrations = {
+            200.0: {"Gain": "Gain at 200.0"},
+            300.0: {"Gain": "Gain at 300.0"},
+        }
         with pytest.raises(Exception) as e_info:
-            cal = calibration.filter_by_parameter(calibrations, 'frequency', 150.0)
-        assert e_info.value.args[0] == 'No calibration was performed with frequency at 150.0'
+            cal = calibration.filter_by_parameter(calibrations, "frequency", 150.0)
+        assert (
+            e_info.value.args[0]
+            == "No calibration was performed with frequency at 150.0"
+        )
 
     def test_get_calibration_dict_exact_match_lookup(self):
         calibration_datetime = datetime.datetime.now()
-        calibration_params = ['sample_rate', 'frequency']
-        calibration_data = {100.0 : {200.0: {'NF': 'NF at 100, 200'}, 'Gain': {'Gain at 100,200' }}, 200.0: {100.0: {'NF': 'NF at 200, 100'}, 'Gain': {'Gain at 200,100' }}}
+        calibration_params = ["sample_rate", "frequency"]
+        calibration_data = {
+            100.0: {200.0: {"NF": "NF at 100, 200"}, "Gain": {"Gain at 100,200"}},
+            200.0: {100.0: {"NF": "NF at 200, 100"}, "Gain": {"Gain at 200,100"}},
+        }
         clock_rate_lookup_by_sample_rate = {}
-        cal = Calibration(calibration_datetime, calibration_params, calibration_data, clock_rate_lookup_by_sample_rate)
+        cal = Calibration(
+            calibration_datetime,
+            calibration_params,
+            calibration_data,
+            clock_rate_lookup_by_sample_rate,
+        )
         cal_data = cal.get_calibration_dict([100.0, 200.0])
-        assert cal_data['NF'] == 'NF at 100, 200'
+        assert cal_data["NF"] == "NF at 100, 200"
 
     def test_get_calibration_dict_within_range(self):
         calibration_datetime = datetime.datetime.now()
-        calibration_params = calibration_params = ['sample_rate', 'frequency']
-        calibration_data = {100.0 : {200: {'NF': 'NF at 100, 200'}, 300.0: 'Cal data at 100,300'}, 200.0: {100.0: {'NF': 'NF at 200, 100'}}}
+        calibration_params = calibration_params = ["sample_rate", "frequency"]
+        calibration_data = {
+            100.0: {200: {"NF": "NF at 100, 200"}, 300.0: "Cal data at 100,300"},
+            200.0: {100.0: {"NF": "NF at 200, 100"}},
+        }
         clock_rate_lookup_by_sample_rate = {}
         calibration_frequency_divisions = []
-        cal = Calibration(calibration_datetime, calibration_params, calibration_data, clock_rate_lookup_by_sample_rate)
+        cal = Calibration(
+            calibration_datetime,
+            calibration_params,
+            calibration_data,
+            clock_rate_lookup_by_sample_rate,
+        )
         with pytest.raises(Exception) as e_info:
             cal_data = cal.get_calibration_dict([100.0, 250.0])
-        assert 'No calibration was performed with frequency at 250.0'
+        assert "No calibration was performed with frequency at 250.0"
 
     def test_convert_keys(self):
-        test_cal = {'100': {'2000':{'40':{'cal_data':5}}}, '200': {'2000':{'40':{'cal_data':6}}}}
+        test_cal = {
+            "100": {"2000": {"40": {"cal_data": 5}}},
+            "200": {"2000": {"40": {"cal_data": 6}}},
+        }
         converted_cal = calibration.convert_keys(test_cal)
         keys = list(test_cal.keys())
         assert keys[0] == 100.0
@@ -265,16 +289,23 @@ def test_sf_no_interpolation_points(self):
 
     def test_update(self):
         calibration_datetime = datetime.datetime.now()
-        calibration_params = ['sample_rate', 'frequency']
-        calibration_data = {100.0: {200.0: {'noise_figure_sensor': 0, 'gain_sensor': 0}}}
+        calibration_params = ["sample_rate", "frequency"]
+        calibration_data = {
+            100.0: {200.0: {"noise_figure_sensor": 0, "gain_sensor": 0}}
+        }
         clock_rate_lookup_by_sample_rate = {}
-        cal = Calibration(calibration_datetime, calibration_params, calibration_data, clock_rate_lookup_by_sample_rate)
-        action_params = {'sample_rate': 100.0, 'frequency': 200.0}
+        cal = Calibration(
+            calibration_datetime,
+            calibration_params,
+            calibration_data,
+            clock_rate_lookup_by_sample_rate,
+        )
+        action_params = {"sample_rate": 100.0, "frequency": 200.0}
         update_time = utils.get_datetime_str_now()
-        cal.update(action_params, update_time  , 30.0, 5.0,21, 'test_calibration.json')
-        cal_from_file = calibration.load_from_json('test_calibration.json')
-        os.remove('test_calibration.json')
-        local = timezone('US/Mountain')
+        cal.update(action_params, update_time, 30.0, 5.0, 21, "test_calibration.json")
+        cal_from_file = calibration.load_from_json("test_calibration.json")
+        os.remove("test_calibration.json")
+        local = timezone("US/Mountain")
         local_cal_time = local.localize(cal.calibration_datetime)
         file_utc_time = local_cal_time.astimezone(pytz.UTC)
         file_utc_time.isoformat(timespec="milliseconds")
@@ -285,10 +316,12 @@ def test_update(self):
         assert file_utc_time.day == cal_time_utc.day
         assert file_utc_time.hour == cal_time_utc.hour
         assert file_utc_time.minute == cal_time_utc.minute
-        assert cal.calibration_data[100.0][200.0]['gain_sensor'] == 30.0
-        assert cal.calibration_data[100.0][200.0]['noise_figure_sensor'] == 5.0
-        assert cal_from_file.calibration_data[100.0][200.0]['gain_sensor'] == 30.0
-        assert cal_from_file.calibration_data[100.0][200.0]['noise_figure_sensor'] == 5.0
+        assert cal.calibration_data[100.0][200.0]["gain_sensor"] == 30.0
+        assert cal.calibration_data[100.0][200.0]["noise_figure_sensor"] == 5.0
+        assert cal_from_file.calibration_data[100.0][200.0]["gain_sensor"] == 30.0
+        assert (
+            cal_from_file.calibration_data[100.0][200.0]["noise_figure_sensor"] == 5.0
+        )
 
     def test_default_sensor_cal(self):
         assert sensor_calibration is not None
@@ -297,11 +330,11 @@ def test_default_sigan_cal_location(self):
         assert sigan_calibration is not None
 
     def test_filter_by_paramter_floor(self):
-        calibrations = {200.0: {'some_cal_data'}, 300.0: {'more cal data'}}
-        filtered_data = calibration.filter_by_parameter(calibrations, '', 200.1234567)
+        calibrations = {200.0: {"some_cal_data"}, 300.0: {"more cal data"}}
+        filtered_data = calibration.filter_by_parameter(calibrations, "", 200.1234567)
         assert filtered_data is not None
 
     def test_filter_by_parameter_ceil(self):
-        calibrations = {700.5e6: {'some_cal_data'}, 300.0: {'more cal data'}}
-        filtered_data = calibration.filter_by_parameter(calibrations, '', 700499999.999)
+        calibrations = {700.5e6: {"some_cal_data"}, 300.0: {"more cal data"}}
+        filtered_data = calibration.filter_by_parameter(calibrations, "", 700499999.999)
         assert filtered_data is not None
diff --git a/scos_actions/tests/test_utils.py b/scos_actions/tests/test_utils.py
index 6f8a1043..232a3559 100644
--- a/scos_actions/tests/test_utils.py
+++ b/scos_actions/tests/test_utils.py
@@ -1,14 +1,17 @@
-import pytest
-from scos_actions import utils
 import datetime
-from dateutil import tz
+
 import numpy as np
+import pytest
+from dateutil import tz
+
+from scos_actions import utils
 
 
 @pytest.fixture
 def valid_params_no_lists():
     return {"name": "valid_params_no_list", "sample_rate": 14e6, "frequency": 770e6}
 
+
 def test_get_datetime_str_now():
     datetime_str = utils.get_datetime_str_now()
     assert len(datetime_str) == 24
@@ -18,6 +21,7 @@ def test_get_datetime_str_now():
     assert datetime_str[19] == "."
     assert datetime_str[-1] == "Z"
 
+
 def test_parse_datetime_iso_format_str():
     tstamp = utils.get_datetime_str_now()
     parsed = utils.parse_datetime_iso_format_str(tstamp)
@@ -39,6 +43,7 @@ def test_parse_datetime_iso_format_str():
     assert parsed.microsecond == int(tstamp[20:23] + "000")
     assert type(parsed.tzinfo) is tz.tz.tzutc
 
+
 def test_get_iterable_parameters_no_lists(valid_params_no_lists):
     i_params = utils.get_iterable_parameters(valid_params_no_lists)
     assert type(i_params) is list
@@ -47,13 +52,16 @@ def test_get_iterable_parameters_no_lists(valid_params_no_lists):
         _ = utils.get_iterable_parameters(valid_params_no_lists, "gain")
     assert not any("name" in x.keys() for x in i_params)
     valid_params_no_lists.pop("name")
-    assert all(i_params[0][k] == valid_params_no_lists[k] for k in valid_params_no_lists.keys())
+    assert all(
+        i_params[0][k] == valid_params_no_lists[k] for k in valid_params_no_lists.keys()
+    )
+
 
 def test_get_iterable_parameters_all_lists():
     all_lists = {
         "name": "params_all_lists",
         "sample_rate": [14e6, 28e6, 56e6],
-        "frequency": [720e6, 710e6, 700e6]
+        "frequency": [720e6, 710e6, 700e6],
     }
     i_params = utils.get_iterable_parameters(all_lists)
     assert type(i_params) is list
@@ -62,16 +70,23 @@ def test_get_iterable_parameters_all_lists():
     minf = min(all_lists["frequency"])
     maxf = max(all_lists["frequency"])
     assert i_params[0]["frequency"] == minf
-    assert i_params[0]["sample_rate"] == all_lists["sample_rate"][all_lists["frequency"].index(minf)]
+    assert (
+        i_params[0]["sample_rate"]
+        == all_lists["sample_rate"][all_lists["frequency"].index(minf)]
+    )
     assert i_params[-1]["frequency"] == maxf
-    assert i_params[-1]["sample_rate"] == all_lists["sample_rate"][all_lists["frequency"].index(maxf)]
+    assert (
+        i_params[-1]["sample_rate"]
+        == all_lists["sample_rate"][all_lists["frequency"].index(maxf)]
+    )
+
 
 def test_get_iterable_parameters_some_lists():
     some_lists = {
         "name": "some_lists",
         "sample_rate": 14e6,
         "frequency": [720e6, 705e6, 1000e6, 10],
-        "gain": [1, 2, 3, 4]
+        "gain": [1, 2, 3, 4],
     }
     i_params = utils.get_iterable_parameters(some_lists)
     assert type(i_params) is list
@@ -88,22 +103,25 @@ def test_get_iterable_parameters_some_lists():
     assert i_params[-1]["sample_rate"] == some_lists["sample_rate"]
     assert i_params[-1]["gain"] == some_lists["gain"][amaxf]
 
+
 def test_get_iterable_parameters_incompatible_lists():
     incompat_lists = {
         "name": "incompatible_lists",
         "sample_rate": [14e6, 28e6, 56e6],
         "frequency": 700e6,
-        "gain": [1, 2]
+        "gain": [1, 2],
     }
     with pytest.raises(utils.ParameterException):
         _ = utils.get_iterable_parameters(incompat_lists)
 
+
 def test_list_to_string():
     ex_list = [1, 2.0, "testing"]
     test_str = utils.list_to_string(ex_list)
     assert type(test_str) is str
     assert test_str == "1,2.0,testing"
 
+
 def test_get_parameter(valid_params_no_lists):
     valid_key = "sample_rate"
     invalid_key = "attenuation"
diff --git a/scos_actions/utils.py b/scos_actions/utils.py
index c02e8683..aa39708d 100644
--- a/scos_actions/utils.py
+++ b/scos_actions/utils.py
@@ -1,13 +1,15 @@
+import json
 import logging
 from datetime import datetime
+
 from dateutil import parser
-import json
 
 logger = logging.getLogger(__name__)
 
 
 class ParameterException(Exception):
     """Basic exception handling for parameter-related problems."""
+
     def __init__(self, msg):
         super().__init__(msg)
 
@@ -44,7 +46,7 @@ def load_from_json(fname):
 def get_iterable_parameters(parameters: dict, sortby: str = "frequency"):
     """
     Convert parameter dictionary into iterable list.
-    
+
     The input parameters, as read from the YAML file, will be
     converted into an iterable list, in which each element is
     an individual set of corresponding parameters. This is useful
@@ -72,23 +74,23 @@ def get_iterable_parameters(parameters: dict, sortby: str = "frequency"):
         for any parameter.
     """
     # Create copy of parameters with all values as lists
-    params = {k:(v if isinstance(v, list) else [v]) for k, v in parameters.items()}
+    params = {k: (v if isinstance(v, list) else [v]) for k, v in parameters.items()}
     del params["name"]
     # Find longest set of parameters
-    max_param_length = max([len(p) for p in params.values()])
+    max_param_length = max(len(p) for p in params.values())
     if max_param_length > 1:
         for p_key, p_val in params.items():
             if len(p_val) == 1:
                 # Repeat parameter to max length
-                msg = f'Parameter {p_key} has only one value specified.\n'
-                msg += 'It will be used for all iterations in the action.'
+                msg = f"Parameter {p_key} has only one value specified.\n"
+                msg += "It will be used for all iterations in the action."
                 logger.warning(msg)
                 params[p_key] = p_val * max_param_length
             elif len(p_val) < max_param_length:
                 # Don't make assumptions otherwise. Raise an error.
-                msg = f'Parameter {p_key} has {len(p_val)} specified values.\n'
-                msg += 'YAML parameters must have either 1 value or a number of values equal to '
-                msg += f'that of the parameter with the most values provided ({max_param_length}).'
+                msg = f"Parameter {p_key} has {len(p_val)} specified values.\n"
+                msg += "YAML parameters must have either 1 value or a number of values equal to "
+                msg += f"that of the parameter with the most values provided ({max_param_length})."
                 raise ParameterException(msg)
     # Construct iterable parameter mapping
     result = [dict(zip(params, v)) for v in zip(*params.values())]
@@ -97,8 +99,8 @@ def get_iterable_parameters(parameters: dict, sortby: str = "frequency"):
 
 
 def list_to_string(a_list):
-    string_list = [str(i) for i in a_list ]
-    return ','.join(string_list)
+    string_list = [str(i) for i in a_list]
+    return ",".join(string_list)
 
 
 def get_parameter(p: str, params: dict):
@@ -113,5 +115,6 @@ def get_parameter(p: str, params: dict):
     if p not in params:
         raise ParameterException(
             f"{p} missing from measurement parameters."
-            + f"Available parameters: {params}")
+            + f"Available parameters: {params}"
+        )
     return params[p]

From 1d6df7c992f0d294ef22d536ffcf7695539110b4 Mon Sep 17 00:00:00 2001
From: Anthony Romaniello <aromaniello@ntia.gov>
Date: Tue, 23 Aug 2022 12:36:44 -0600
Subject: [PATCH 3/4] Move division to after power conversion

---
 scos_actions/actions/calibrate_y_factor.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scos_actions/actions/calibrate_y_factor.py b/scos_actions/actions/calibrate_y_factor.py
index 4e13abd1..dffff696 100644
--- a/scos_actions/actions/calibrate_y_factor.py
+++ b/scos_actions/actions/calibrate_y_factor.py
@@ -285,8 +285,8 @@ def calibrate(self, params):
             noise_off_data = noise_off_measurement_result["data"]
 
         # Get power values in time domain (division by 2 for RF/baseband conversion)
-        pwr_on_watts = calculate_power_watts(noise_on_data / 2.0)
-        pwr_off_watts = calculate_power_watts(noise_off_data / 2.0)
+        pwr_on_watts = calculate_power_watts(noise_on_data) / 2.0
+        pwr_off_watts = calculate_power_watts(noise_off_data) / 2.0
 
         # Y-Factor
         enr_linear = get_linear_enr(cal_source_idx)

From 1d93aa54646d283ddcca03442817c8255459bcc4 Mon Sep 17 00:00:00 2001
From: Anthony Romaniello <aromaniello@ntia.gov>
Date: Tue, 23 Aug 2022 12:37:54 -0600
Subject: [PATCH 4/4] Increment version number

---
 scos_actions/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scos_actions/__init__.py b/scos_actions/__init__.py
index 528787cf..05527687 100644
--- a/scos_actions/__init__.py
+++ b/scos_actions/__init__.py
@@ -1 +1 @@
-__version__ = "3.0.0"
+__version__ = "3.0.1"