maint: remove stray spaces (pydata#4504)

* remove stray spaces

* black

* whats new

* Apply suggestions from code review

conftest.py

@@ -19,7 +19,7 @@ def pytest_runtest_setup(item):
         pytest.skip("set --run-flaky option to run flaky tests")
     if "network" in item.keywords and not item.config.getoption("--run-network-tests"):
         pytest.skip(
-            "set --run-network-tests to run test requiring an " "internet connection"
+            "set --run-network-tests to run test requiring an internet connection"
         )
 
 

doc/examples/apply_ufunc_vectorize_1d.ipynb

@@ -333,7 +333,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now  our function currently only works on one vector of data which is not so useful given our 3D dataset.\n",
+    "Now our function currently only works on one vector of data which is not so useful given our 3D dataset.\n",
     "Let's try passing the whole dataset. We add a `print` statement so we can see what our function receives."
    ]
   },

doc/plotting.rst

@@ -106,7 +106,7 @@ The simplest way to make a plot is to call the :py:func:`DataArray.plot()` metho
     @savefig plotting_1d_simple.png width=4in
     air1d.plot()
 
-xarray uses the coordinate name along with  metadata ``attrs.long_name``, ``attrs.standard_name``, ``DataArray.name`` and ``attrs.units`` (if available) to label the axes. The names ``long_name``, ``standard_name`` and ``units`` are copied from the `CF-conventions spec <http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/build/ch03s03.html>`_. When choosing names, the order of precedence is ``long_name``, ``standard_name`` and finally ``DataArray.name``. The y-axis label in the above plot was constructed from the ``long_name`` and ``units`` attributes of ``air1d``.
+xarray uses the coordinate name along with metadata ``attrs.long_name``, ``attrs.standard_name``, ``DataArray.name`` and ``attrs.units`` (if available) to label the axes. The names ``long_name``, ``standard_name`` and ``units`` are copied from the `CF-conventions spec <http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/build/ch03s03.html>`_. When choosing names, the order of precedence is ``long_name``, ``standard_name`` and finally ``DataArray.name``. The y-axis label in the above plot was constructed from the ``long_name`` and ``units`` attributes of ``air1d``.
 
 .. ipython:: python
 

doc/reshaping.rst

@@ -237,7 +237,7 @@ of multi-index levels:
     mda.reorder_levels(x=["wavenumber", "band"])
 
 As of xarray v0.9 coordinate labels for each dimension are optional.
-You can also  use ``.set_index`` / ``.reset_index`` to add / remove
+You can also use ``.set_index`` / ``.reset_index`` to add / remove
 labels for one or several dimensions:
 
 .. ipython:: python

doc/whats-new.rst

@@ -52,7 +52,8 @@ Documentation
 
 Internal Changes
 ~~~~~~~~~~~~~~~~
-
+- Removed stray spaces that stem from black removing new lines (:pull:`4504`).
+  By `Mathias Hauser <https://github.com/mathause>`_.
 
 .. _whats-new.0.16.1:
 
@@ -178,7 +179,7 @@ Internal Changes
     older than 2.9)
   - all versions of other packages released in the last 12 months
 
-  All are  up from 6 months (:issue:`4295`)
+  All are up from 6 months (:issue:`4295`)
   `Guido Imperiale <https://github.com/crusaderky>`_.
 - Use :py:func:`dask.array.apply_gufunc` instead of :py:func:`dask.array.blockwise` in
   :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:pull:`4060`, :pull:`4391`, :pull:`4392`)
@@ -2516,7 +2517,7 @@ Breaking changes
 - A new resampling interface to match pandas' groupby-like API was added to
   :py:meth:`Dataset.resample` and :py:meth:`DataArray.resample`
   (:issue:`1272`). :ref:`Timeseries resampling <resampling>` is
-  fully supported for data  with arbitrary dimensions as is both downsampling
+  fully supported for data with arbitrary dimensions as is both downsampling
   and upsampling (including linear, quadratic, cubic, and spline interpolation).
 
   Old syntax:
@@ -3647,7 +3648,7 @@ Bug fixes
 - Restore checks for shape consistency between data and coordinates in the
   DataArray constructor (:issue:`758`).
 - Single dimension variables no longer transpose as part of a broader
-  ``.transpose``. This  behavior was causing ``pandas.PeriodIndex`` dimensions
+  ``.transpose``. This behavior was causing ``pandas.PeriodIndex`` dimensions
   to lose their type (:issue:`749`)
 - :py:class:`~xarray.Dataset` labels remain as their native type on ``.to_dataset``.
   Previously they were coerced to strings (:issue:`745`)

doc/why-xarray.rst

@@ -49,7 +49,7 @@ Core data structures
 --------------------
 
 xarray has two core data structures, which build upon and extend the core
-strengths of  NumPy_ and pandas_. Both data structures are fundamentally N-dimensional:
+strengths of NumPy_ and pandas_. Both data structures are fundamentally N-dimensional:
 
 - :py:class:`~xarray.DataArray` is our implementation of a labeled, N-dimensional
   array. It is an N-D generalization of a :py:class:`pandas.Series`. The name

xarray/backends/api.py

@@ -87,7 +87,7 @@ def _get_default_engine_grib():
     if msgs:
         raise ValueError(" or\n".join(msgs))
     else:
-        raise ValueError("PyNIO or cfgrib is required for accessing " "GRIB files")
+        raise ValueError("PyNIO or cfgrib is required for accessing GRIB files")
 
 
 def _get_default_engine_gz():
@@ -1228,7 +1228,7 @@ def save_mfdataset(
     """
     if mode == "w" and len(set(paths)) < len(paths):
         raise ValueError(
-            "cannot use mode='w' when writing multiple " "datasets to the same path"
+            "cannot use mode='w' when writing multiple datasets to the same path"
         )
 
     for obj in datasets:

xarray/backends/h5netcdf_.py

@@ -280,7 +280,7 @@ def prepare_variable(
             and "compression_opts" in encoding
             and encoding["complevel"] != encoding["compression_opts"]
         ):
-            raise ValueError("'complevel' and 'compression_opts' encodings " "mismatch")
+            raise ValueError("'complevel' and 'compression_opts' encodings mismatch")
         complevel = encoding.pop("complevel", 0)
         if complevel != 0:
             encoding.setdefault("compression_opts", complevel)

xarray/backends/netcdf3.py

@@ -20,7 +20,8 @@
     "uint",
     "int64",
     "uint64",
-    "float" "real",
+    "float",
+    "real",
     "double",
     "bool",
     "string",

xarray/backends/scipy_.py

@@ -70,9 +70,7 @@ def _open_scipy_netcdf(filename, mode, mmap, version):
         except TypeError as e:
             # TODO: gzipped loading only works with NetCDF3 files.
             if "is not a valid NetCDF 3 file" in e.message:
-                raise ValueError(
-                    "gzipped file loading only supports " "NetCDF 3 files."
-                )
+                raise ValueError("gzipped file loading only supports NetCDF 3 files.")
             else:
                 raise
 
@@ -110,9 +108,7 @@ def __init__(
         self, filename_or_obj, mode="r", format=None, group=None, mmap=None, lock=None
     ):
         if group is not None:
-            raise ValueError(
-                "cannot save to a group with the " "scipy.io.netcdf backend"
-            )
+            raise ValueError("cannot save to a group with the scipy.io.netcdf backend")
 
         if format is None or format == "NETCDF3_64BIT":
             version = 2

xarray/backends/zarr.py

@@ -207,7 +207,7 @@ def extract_zarr_variable_encoding(variable, raise_on_invalid=False, name=None):
         invalid = [k for k in encoding if k not in valid_encodings]
         if invalid:
             raise ValueError(
-                "unexpected encoding parameters for zarr " "backend:  %r" % invalid
+                "unexpected encoding parameters for zarr backend:  %r" % invalid
             )
     else:
         for k in list(encoding):

xarray/coding/cftime_offsets.py

@@ -102,7 +102,7 @@ def __sub__(self, other):
         import cftime
 
         if isinstance(other, cftime.datetime):
-            raise TypeError("Cannot subtract a cftime.datetime " "from a time offset.")
+            raise TypeError("Cannot subtract a cftime.datetime from a time offset.")
         elif type(other) == type(self):
             return type(self)(self.n - other.n)
         else:
@@ -122,7 +122,7 @@ def __radd__(self, other):
 
     def __rsub__(self, other):
         if isinstance(other, BaseCFTimeOffset) and type(self) != type(other):
-            raise TypeError("Cannot subtract cftime offsets of differing " "types")
+            raise TypeError("Cannot subtract cftime offsets of differing types")
         return -self + other
 
     def __apply__(self):

xarray/core/accessor_str.py

@@ -496,7 +496,7 @@ def zfill(self, width):
 
         Strings in the array are padded with '0' characters on the
         left of the string to reach a total string length  `width`. Strings
-        in the array  with length greater or equal to `width` are unchanged.
+        in the array with length greater or equal to `width` are unchanged.
 
         Parameters
         ----------
@@ -879,7 +879,7 @@ def replace(self, pat, repl, n=-1, case=None, flags=0, regex=True):
             if is_compiled_re:
                 if (case is not None) or (flags != 0):
                     raise ValueError(
-                        "case and flags cannot be set" " when pat is a compiled regex"
+                        "case and flags cannot be set when pat is a compiled regex"
                     )
             else:
                 # not a compiled regex
@@ -903,9 +903,7 @@ def replace(self, pat, repl, n=-1, case=None, flags=0, regex=True):
                     "pattern with regex=False"
                 )
             if callable(repl):
-                raise ValueError(
-                    "Cannot use a callable replacement when " "regex=False"
-                )
+                raise ValueError("Cannot use a callable replacement when regex=False")
             f = lambda x: x.replace(pat, repl, n)
         return self._apply(f)
 

xarray/core/common.py

@@ -626,7 +626,7 @@ def pipe(
             func, target = func
             if target in kwargs:
                 raise ValueError(
-                    "%s is both the pipe target and a keyword " "argument" % target
+                    "%s is both the pipe target and a keyword argument" % target
                 )
             kwargs[target] = self
             return func(*args, **kwargs)

xarray/core/dataarray.py

@@ -2565,7 +2565,7 @@ def from_dict(cls, d: dict) -> "DataArray":
             }
 
         where "t" is the name of the dimesion, "a" is the name of the array,
-        and  x and t are lists, numpy.arrays, or pandas objects.
+        and x and t are lists, numpy.arrays, or pandas objects.
 
         Parameters
         ----------
@@ -2949,7 +2949,7 @@ def roll(
             Positive offsets roll to the right; negative offsets roll to the
             left.
         roll_coords : bool
-            Indicates whether to  roll the coordinates by the offset
+            Indicates whether to roll the coordinates by the offset
             The current default of roll_coords (None, equivalent to True) is
             deprecated and will change to False in a future version.
             Explicitly pass roll_coords to silence the warning.

xarray/core/dataset.py

@@ -197,7 +197,7 @@ def calculate_dimensions(variables: Mapping[Hashable, Variable]) -> Dict[Hashabl
         for dim, size in zip(var.dims, var.shape):
             if dim in scalar_vars:
                 raise ValueError(
-                    "dimension %r already exists as a scalar " "variable" % dim
+                    "dimension %r already exists as a scalar variable" % dim
                 )
             if dim not in dims:
                 dims[dim] = size
@@ -286,7 +286,7 @@ def merge_indexes(
     new_variables = {k: v for k, v in variables.items() if k not in vars_to_remove}
     new_variables.update(vars_to_replace)
 
-    # update dimensions if necessary  GH: 3512
+    # update dimensions if necessary, GH: 3512
     for k, v in new_variables.items():
         if any(d in dims_to_replace for d in v.dims):
             new_dims = [dims_to_replace.get(d, d) for d in v.dims]
@@ -1314,7 +1314,7 @@ def __setitem__(self, key: Hashable, value) -> None:
         """
         if utils.is_dict_like(key):
             raise NotImplementedError(
-                "cannot yet use a dictionary as a key " "to set Dataset values"
+                "cannot yet use a dictionary as a key to set Dataset values"
             )
 
         self.update({key: value})
@@ -1673,7 +1673,7 @@ def to_zarr(
         if mode not in ["w", "w-", "a"]:
             # TODO: figure out how to handle 'r+'
             raise ValueError(
-                "The only supported options for mode are 'w'," "'w-' and 'a'."
+                "The only supported options for mode are 'w', 'w-' and 'a'."
             )
         from ..backends.api import to_zarr
 
@@ -5107,9 +5107,7 @@ def diff(self, dim, n=1, label="upper"):
         elif label == "lower":
             kwargs_new = kwargs_start
         else:
-            raise ValueError(
-                "The 'label' argument has to be either " "'upper' or 'lower'"
-            )
+            raise ValueError("The 'label' argument has to be either 'upper' or 'lower'")
 
         variables = {}
 

xarray/core/indexes.py

@@ -100,7 +100,7 @@ def isel_variable_and_index(
 
     if len(variable.dims) > 1:
         raise NotImplementedError(
-            "indexing multi-dimensional variable with indexes is not " "supported yet"
+            "indexing multi-dimensional variable with indexes is not supported yet"
         )
 
     new_variable = variable.isel(indexers)

xarray/core/indexing.py

@@ -121,7 +121,7 @@ def convert_label_indexer(index, label, index_name="", method=None, tolerance=No
     if isinstance(label, slice):
         if method is not None or tolerance is not None:
             raise NotImplementedError(
-                "cannot use ``method`` argument if any indexers are " "slice objects"
+                "cannot use ``method`` argument if any indexers are slice objects"
             )
         indexer = index.slice_indexer(
             _sanitize_slice_element(label.start),

xarray/core/options.py

@@ -71,7 +71,7 @@ def _get_keep_attrs(default):
         return global_choice
     else:
         raise ValueError(
-            "The global option keep_attrs must be one of" " True, False or 'default'."
+            "The global option keep_attrs must be one of True, False or 'default'."
         )
 
 

xarray/core/resample.py

@@ -270,7 +270,7 @@ def __init__(self, *args, dim=None, resample_dim=None, **kwargs):
 
     def map(self, func, args=(), shortcut=None, **kwargs):
         """Apply a function over each Dataset in the groups generated for
-        resampling  and concatenate them together into a new Dataset.
+        resampling and concatenate them together into a new Dataset.
 
         `func` is called like `func(ds, *args, **kwargs)` for each dataset `ds`
         in this group.

xarray/core/rolling_exp.py

@@ -31,7 +31,7 @@ def _get_center_of_mass(comass, span, halflife, alpha):
     """
     valid_count = count_not_none(comass, span, halflife, alpha)
     if valid_count > 1:
-        raise ValueError("comass, span, halflife, and alpha " "are mutually exclusive")
+        raise ValueError("comass, span, halflife, and alpha are mutually exclusive")
 
     # Convert to center of mass; domain checks ensure 0 < alpha <= 1
     if comass is not None:

xarray/core/variable.py

@@ -1060,7 +1060,7 @@ def _as_sparse(self, sparse_format=_default, fill_value=dtypes.NA):
         """
         import sparse
 
-        # TODO  what to do if dask-backended?
+        # TODO: what to do if dask-backended?
         if fill_value is dtypes.NA:
             dtype, fill_value = dtypes.maybe_promote(self.dtype)
         else:
@@ -1286,7 +1286,7 @@ def pad(
         if isinstance(end_values, dict):
             end_values = self._pad_options_dim_to_index(end_values)
 
-        # workaround for bug in Dask's default value of stat_length  https://github.com/dask/dask/issues/5303
+        # workaround for bug in Dask's default value of stat_length https://github.com/dask/dask/issues/5303
         if stat_length is None and mode in ["maximum", "mean", "median", "minimum"]:
             stat_length = [(n, n) for n in self.data.shape]  # type: ignore
 
@@ -2135,7 +2135,7 @@ def func(self, other):
                 raise TypeError("cannot add a Dataset to a Variable in-place")
             self_data, other_data, dims = _broadcast_compat_data(self, other)
             if dims != self.dims:
-                raise ValueError("dimensions cannot change for in-place " "operations")
+                raise ValueError("dimensions cannot change for in-place operations")
             with np.errstate(all="ignore"):
                 self.values = f(self_data, other_data)
             return self

xarray/plot/dataset_plot.py

@@ -38,7 +38,7 @@ def _infer_meta_data(ds, x, y, hue, hue_style, add_guide):
 
         if not hue_is_numeric and (hue_style == "continuous"):
             raise ValueError(
-                "Cannot create a colorbar for a non numeric" " coordinate: " + hue
+                f"Cannot create a colorbar for a non numeric coordinate: {hue}"
             )
 
         if add_guide is None or add_guide is True:
@@ -54,9 +54,7 @@ def _infer_meta_data(ds, x, y, hue, hue_style, add_guide):
         add_colorbar = False
 
     if hue_style is not None and hue_style not in ["discrete", "continuous"]:
-        raise ValueError(
-            "hue_style must be either None, 'discrete' " "or 'continuous'."
-        )
+        raise ValueError("hue_style must be either None, 'discrete' or 'continuous'.")
 
     if hue:
         hue_label = label_from_attrs(ds[hue])
@@ -131,7 +129,7 @@ def _parse_size(data, norm):
     elif isinstance(norm, tuple):
         norm = mpl.colors.Normalize(*norm)
     elif not isinstance(norm, mpl.colors.Normalize):
-        err = "``size_norm`` must be None, tuple, " "or Normalize object."
+        err = "``size_norm`` must be None, tuple, or Normalize object."
         raise ValueError(err)
 
     norm.clip = True

xarray/plot/facetgrid.py

@@ -131,7 +131,7 @@ def __init__(
             ncol = len(data[col])
             nfacet = nrow * ncol
             if col_wrap is not None:
-                warnings.warn("Ignoring col_wrap since both col and row " "were passed")
+                warnings.warn("Ignoring col_wrap since both col and row were passed")
         elif row and not col:
             single_group = row
         elif not row and col:

xarray/plot/plot.py

@@ -357,7 +357,7 @@ def step(darray, *args, where="pre", drawstyle=None, ds=None, **kwargs):
         Additional arguments following :py:func:`xarray.plot.line`
     """
     if where not in {"pre", "post", "mid"}:
-        raise ValueError("'where' argument to step must be " "'pre', 'post' or 'mid'")
+        raise ValueError("'where' argument to step must be 'pre', 'post' or 'mid'")
 
     if ds is not None:
         if drawstyle is None:
@@ -876,7 +876,7 @@ def imshow(x, y, z, ax, **kwargs):
 
     if x.ndim != 1 or y.ndim != 1:
         raise ValueError(
-            "imshow requires 1D coordinates, try using " "pcolormesh or contour(f)"
+            "imshow requires 1D coordinates, try using pcolormesh or contour(f)"
         )
 
     # Centering the pixels- Assumes uniform spacing