linting

src/nomad_unisyscat/schema_packages/mypackage.py

@@ -1,9 +1,8 @@
+import os
 from typing import (
     TYPE_CHECKING,
 )
 
-import os
-
 if TYPE_CHECKING:
     from nomad.datamodel.datamodel import (
         EntryArchive,
@@ -23,14 +22,15 @@
 
 m_package = SchemaPackage()
 
+
 class NVRSpectroscopy(Measurement, PlotSection, EntryData):
     measurements_data_file = Quantity(
         type=str,
         description="""
             experimental tab data file
             """,
         a_eln=dict(component='FileEditQuantity'),
-        a_browser=dict(adaptor='RawFileAdaptor')
+        a_browser=dict(adaptor='RawFileAdaptor'),
     )
 
     # simulation_data_file = Quantity(
@@ -47,33 +47,34 @@ class NVRSpectroscopy(Measurement, PlotSection, EntryData):
         description="""
             name of the method
             """,
-		a_eln=dict(component='StringEditQuantity',
-             default= 'Nuclear resonance vibrational spectroscopy'
-        )
+        a_eln=dict(
+            component='StringEditQuantity',
+            default='Nuclear resonance vibrational spectroscopy',
+        ),
     )
 
-	def normalize(self, archive, logger):
+    def normalize(self, archive, logger):
         super(NVRSpectroscopy, self).normalize(archive, logger)
         if self.measurements_data_file is None:
             return
 
-        if (self.measurements_data_file is not None) and (os.path.splitext(
-                self.measurement_data_file)[-1] != ".dat"):
-            raise ValueError("Unsupported file format. Only .dat file")
+        if (self.measurements_data_file is not None) and (
+            os.path.splitext(self.measurement_data_file)[-1] != '.dat'
+        ):
+            raise ValueError('Unsupported file format. Only .dat file')
 
-        if self.measurement_data_file.endswith(".dat"):
+        if self.measurement_data_file.endswith('.dat'):
             with archive.m_context.raw_file(self.measurement_data_file) as f:
                 import pandas as pd
-                col_names=['wavenumber, cm-1','57Fe PVDOS']
-                data = pd.read_csv(f.name, header=None, names=col_names)
 
+                col_names = ['wavenumber, cm-1', '57Fe PVDOS']
+                data = pd.read_csv(f.name, header=None, names=col_names)
 
         self.figures = []
         fig = px.line(x=data['wavenumber, cm-1'], y=data['57Fe PVDOS'])
         fig.update_xaxes(title_text=col_names[0])
         fig.update_yaxes(title_text=col_names[1])
-        self.figures.append(PlotlyFigure(
-            label='NVPS', figure=fig.to_plotly_json()))
+        self.figures.append(PlotlyFigure(label='NVPS', figure=fig.to_plotly_json()))
 
 
 class MySchema(Schema):