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docs/sphinx/install-details.rst

@@ -25,7 +25,7 @@ The histogram package can be installed by using pip install in editable mode cur
 
  First, $ git clone git@github.com:neutrons/histogram-dev.git. Navigate to the root directory
  of histogram-dev. Create appropriate conda environment:
- $ conda env create 
+ $ conda env create
  This will create an environment using the environment.yml file.
 
 To install the package, in the correct environment(histogram-dev)::

docs/sphinx/install.rst

@@ -8,7 +8,7 @@ The histogram package can be installed by using pip install::
  Download the package at https://github.com/neutrons/histogram-dev.
 
  To install:
- 
+
  $ pip install -e . --no-deps
 
  To test, in the root directory type:

pyproject.toml

@@ -57,4 +57,4 @@ python_files = ["*_TestCase.py","histogramTest_*.py"] #manually run python allte
 filterwarnings =[
     "ignore: Matplotlib is currently using ps, which is a non-GUI backend, so cannot show the figure.",
     "ignore: FigureCanvasPS is non-interactive, and thus cannot be shown"
-]
+]

src/histogram/ndarray/AbstractNdArray.py

@@ -47,6 +47,7 @@
 import tempfile
 import os
 
+
 class NdArray(object):
     def as_(self, NdArrayTypeName):
         return converters.convert(self, NdArrayTypeName)
@@ -260,7 +261,6 @@ def _nie(self, method):
     pass  # end of NdArray
 
 
-
 # Tests have been moved into tests/histogram/ndarray/NdArray_TestCase.py
 
 # test of interface