Base classes in Python 3 don't need to subclass object (#2950)

* Base classes in Python 3 don't need to subclass object

* What's new

Author: crusaderky

asv_bench/benchmarks/dataset_io.py

@@ -19,7 +19,7 @@
 os.environ['HDF5_USE_FILE_LOCKING'] = 'FALSE'
 
 
-class IOSingleNetCDF(object):
+class IOSingleNetCDF:
     """
     A few examples that benchmark reading/writing a single netCDF file with
     xarray
@@ -214,7 +214,7 @@ def time_load_dataset_scipy_with_time_chunks(self):
                             chunks=self.time_chunks).load()
 
 
-class IOMultipleNetCDF(object):
+class IOMultipleNetCDF:
     """
     A few examples that benchmark reading/writing multiple netCDF files with
     xarray
@@ -419,7 +419,7 @@ def create_delayed_write():
     return ds.to_netcdf('file.nc', engine='netcdf4', compute=False)
 
 
-class IOWriteNetCDFDask(object):
+class IOWriteNetCDFDask:
     timeout = 60
     repeat = 1
     number = 5
@@ -432,7 +432,7 @@ def time_write(self):
         self.write.compute()
 
 
-class IOWriteNetCDFDaskDistributed(object):
+class IOWriteNetCDFDaskDistributed:
     def setup(self):
         try:
             import distributed

asv_bench/benchmarks/indexing.py

@@ -58,7 +58,7 @@
 }
 
 
-class Base(object):
+class Base:
     def setup(self, key):
         self.ds = xr.Dataset(
             {'var1': (('x', 'y'), randn((nx, ny), frac_nan=0.1)),

asv_bench/benchmarks/interp.py

@@ -24,7 +24,7 @@
 new_y_long = np.linspace(0.1, 0.9, 1000)
 
 
-class Interpolation(object):
+class Interpolation:
     def setup(self, *args, **kwargs):
         self.ds = xr.Dataset(
             {'var1': (('x', 'y'), randn_xy),

asv_bench/benchmarks/reindexing.py

@@ -7,7 +7,7 @@
 from . import requires_dask
 
 
-class Reindex(object):
+class Reindex:
     def setup(self):
         data = np.random.RandomState(0).randn(1000, 100, 100)
         self.ds = xr.Dataset({'temperature': (('time', 'x', 'y'), data)},

asv_bench/benchmarks/rolling.py

@@ -19,7 +19,7 @@
 randn_long = randn((long_nx, ), frac_nan=0.1)
 
 
-class Rolling(object):
+class Rolling:
     def setup(self, *args, **kwargs):
         self.ds = xr.Dataset(
             {'var1': (('x', 'y'), randn_xy),

asv_bench/benchmarks/unstacking.py

@@ -7,7 +7,7 @@
 from . import requires_dask
 
 
-class Unstacking(object):
+class Unstacking:
     def setup(self):
         data = np.random.RandomState(0).randn(1, 1000, 500)
         self.ds = xr.DataArray(data).stack(flat_dim=['dim_1', 'dim_2'])

doc/contributing.rst

@@ -457,7 +457,7 @@ typically find tests wrapped in a class.
 
 .. code-block:: python
 
-    class TestReallyCoolFeature(object):
+    class TestReallyCoolFeature:
         ....
 
 Going forward, we are moving to a more *functional* style using the

doc/examples/_code/accessor_example.py

@@ -2,7 +2,7 @@
 
 
 @xr.register_dataset_accessor('geo')
-class GeoAccessor(object):
+class GeoAccessor:
     def __init__(self, xarray_obj):
         self._obj = xarray_obj
         self._center = None

doc/whats-new.rst

@@ -27,7 +27,9 @@ Enhancements
 - Character arrays' character dimension name decoding and encoding handled by
   ``var.encoding['char_dim_name']`` (:issue:`2895`)
   By `James McCreight <https://github.com/jmccreight>`_.
-   
+- Clean up Python 2 compatibility in code (:issue:`2950`)
+  By `Guido Imperiale <https://github.com/crusaderky>`_.
+
 Bug fixes
 ~~~~~~~~~
 

xarray/backends/api.py

@@ -529,7 +529,7 @@ def open_dataarray(filename_or_obj, group=None, decode_cf=True,
     return data_array
 
 
-class _MultiFileCloser(object):
+class _MultiFileCloser:
     def __init__(self, file_objs):
         self.file_objs = file_objs