black format

est/app/canvas_launcher/launcher.py

 from silx.gui import qt
 from Orange.canvas import __main__ as main
+
 try:
     from orangecanvas import config
 except ImportError:
     from Orange.canvas import config
+
     old_config = True
 else:
     old_config = False
@@ -18,6 +20,7 @@ def version():
 
 
 if old_config:
+
     class EstConfig(config.Config):
         ApplicationName = "est"
         ApplicationVersion = version()
@@ -33,7 +36,10 @@ if old_config:
         @staticmethod
         def application_icon(self):
             return getIcon()
+
+
 else:
+
     class EstConfig(config.Config):
         ApplicationName = "est"
         ApplicationVersion = version()

est/app/process.py

@@ -5,6 +5,7 @@ from pypushflow.representation.scheme.ows_parser import OwsParser
 
 try:
     from est.io.utils.pymca import read_spectrum
+
     has_read_spectrum = True
 except ImportError:
     has_read_spectrum = False
@@ -13,6 +14,7 @@ from est.core.io import read_xas
 import logging
 import signal
 from pypushflow.representation.scheme.scheme import Scheme
+
 try:
     import h5py
 
@@ -25,10 +27,12 @@ logging.basicConfig(level=logging.DEBUG)
 _logger = logging.getLogger(__name__)
 
 
-def exec_(scheme: Scheme,
-          input_: Union[str, None, dict] = None,
-          output_: Union[str, None, dict] = None,
-          timeout: Union[int, None] = None):
+def exec_(
+    scheme: Scheme,
+    input_: Union[str, None, dict] = None,
+    output_: Union[str, None, dict] = None,
+    timeout: Union[int, None] = None,
+):
     def manage_input():
         if input_:
             # monkey patch the input file for start nodes if an input is given

est/app/reprocessing.py

@@ -4,6 +4,7 @@ import logging
 from est.core.types import XASObject
 from est.core.reprocessing import get_process_instance_frm_h5_desc
 from typing import Union
+
 try:
     import h5py
 

est/core/types.py

@@ -402,8 +402,9 @@ class XASObject(object):
         )
 
     @staticmethod
-    def _spectra_volume(spectra: list, key: str, dim_1: int, dim_2: int,
-                        relative_to: str = "energy"):
+    def _spectra_volume(
+        spectra: list, key: str, dim_1: int, dim_2: int, relative_to: str = "energy"
+    ):
         """Convert a list of spectra (mu) to a numpy array.
         ..note: only convert raw data for now"""
 
@@ -611,8 +612,7 @@ class XASObject(object):
             return len(self.__spectra)
 
     def spectra_keys(self) -> tuple:
-        """keys contained by the spectrum object (energy, mu, normalizedmu...)
-        """
+        """keys contained by the spectrum object (energy, mu, normalizedmu...)"""
         if len(self.spectra) > 0:
             assert isinstance(self.spectra[0], Spectrum)
             return tuple(self.spectra[0].keys())
@@ -803,11 +803,13 @@ class Spectrum(_Spectrum_Base):
 
     _Y_POS_KEY = "YPos"
 
-    def __init__(self,
-                 energy: Union[None, numpy.ndarray] = None,
-                 mu: Union[None, numpy.ndarray] = None,
-                 x: Union[None, int] = None,
-                 y: Union[None, int] = None):
+    def __init__(
+        self,
+        energy: Union[None, numpy.ndarray] = None,
+        mu: Union[None, numpy.ndarray] = None,
+        x: Union[None, int] = None,
+        y: Union[None, int] = None,
+    ):
         super().__init__()
         if energy is not None:
             assert isinstance(energy, (numpy.ndarray, pint.Quantity))
@@ -1233,8 +1235,6 @@ class _FT(object):
 class Sample(object):
     """Description of the sample. Needed for writing valid nx file"""
 
-    def __init__(self,
-                 name: str = "undefined sample",
-                 description: dict = None):
+    def __init__(self, name: str = "undefined sample", description: dict = None):
         self.name = name
         self.description = description