Fix various whitespace and line ending issues

.git_archival.txt

@@ -1 +1 @@
-ref-names: $Format:%D$
+ref-names: $Format:%D$

.github/workflows/ci.yaml

@@ -162,4 +162,3 @@ jobs:
         uses: AndreMiras/coveralls-python-action@develop
         with:
           parallel-finished: true
-

.github/workflows/deploy-sdist.yaml

@@ -22,4 +22,4 @@ jobs:
         uses: pypa/gh-action-pypi-publish@v1.4.1
         with:
           user: __token__
-          password: ${{ secrets.pypi_password }}
+          password: ${{ secrets.pypi_password }}

AUTHORS.md

@@ -76,4 +76,4 @@ The following people have made contributions to this project:
 - [oananicola (oananicola)](https://github.com/oananicola)
 - [praerien (praerien)](https://github.com/praerien)
 - [Xin Zhang (zxdawn)](https://github.com/zxdawn)
-- [Yufei Zhu (yufeizhu600)](https://github.com/yufeizhu600)
+- [Yufei Zhu (yufeizhu600)](https://github.com/yufeizhu600)

MANIFEST.in

@@ -3,4 +3,4 @@ include doc/source/*
 include doc/examples/*.py
 include LICENSE.txt
 include README.rst
-include satpy/version.py
+include satpy/version.py

README.rst

@@ -9,7 +9,7 @@ Satpy
 
 .. image:: https://badge.fury.io/py/satpy.svg
     :target: https://badge.fury.io/py/satpy
-    
+
 .. image:: https://anaconda.org/conda-forge/satpy/badges/version.svg
    :target: https://anaconda.org/conda-forge/satpy/
 

changelog_pre0.9.0.rst

@@ -4374,6 +4374,3 @@ Other
 - Modified image inversion unit test to reflect new behaviour. [Martin
   Raspaud]
 - New rebase. [Martin Raspaud]
-
-
-

doc/Makefile

@@ -2,7 +2,7 @@
 #
 
 # You can set these variables from the command line.
-SPHINXOPTS    = 
+SPHINXOPTS    =
 SPHINXBUILD   = sphinx-build
 PAPER         =
 BUILDDIR      = build

doc/source/_static/theme_overrides.css

@@ -10,4 +10,4 @@
    .wy-table-responsive {
       overflow: visible !important;
    }
-}
+}

doc/source/data_download.rst

@@ -37,7 +37,7 @@ NOAA GOES on Amazon Web Services
 * Associated Readers: ``abi_l1b``
 
 In addition to the pages above, Brian Blaylock's `GOES-2-Go <https://github.com/blaylockbk/goes2go>`_
-python package is useful for downloading GOES data to your local machine. 
+python package is useful for downloading GOES data to your local machine.
 Brian also prepared some instructions
 for using the ``rclone`` tool for downloading AWS data to a local machine. The
 instructions can be found

doc/source/dev_guide/custom_reader.rst

@@ -579,4 +579,4 @@ Auxiliary File Download
 If your reader needs additional data files to do calibrations, corrections,
 or anything else see the :doc:`aux_data` document for more information on
 how to download and cache these files without including them in the Satpy
-python package.
+python package.

doc/source/dev_guide/xarray_migration.rst

@@ -316,4 +316,3 @@ Helpful functions
 - :doc:`delayed`
 - :func:`~dask.array.rechunk`
 - :attr:`~dask.array.Array.vindex`
-

doc/source/faq.rst

@@ -138,4 +138,4 @@ GeoTIFF image.
 See the
 `GDAL GeoTIFF documentation <https://gdal.org/drivers/raster/gtiff.html#creation-options>`_
 for more information on the creation options available including other
-compression choices.
+compression choices.

doc/source/install.rst

@@ -118,5 +118,3 @@ created.
     $ virtualenv /path/to/pytroll-env
     $ source /path/to/pytroll-env/bin/activate
     $ pip install satpy
-
-

doc/source/quickstart.rst

@@ -146,30 +146,30 @@ The 'area' attribute of the DataArray, if present, can be converted to latitude
     >>> vis006_lon, vis006_lat = vis006.attrs['area'].get_lonlats()
 
 
-Visualizing data                                                                                    
-================                                                                                    
+Visualizing data
+================
+
+To visualize loaded data in a pop-up window:
+
+    >>> global_scene.show(0.6)
 
-To visualize loaded data in a pop-up window:                                                        
-
-    >>> global_scene.show(0.6)                                                                      
-
 Alternatively if working in a Jupyter notebook the scene can be converted to
 a `geoviews <https://geoviews.org>`_ object using the
 :meth:`~satpy.scene.Scene.to_geoviews` method. The geoviews package is not a
 requirement of the base satpy install so in order to use this feature the user
 needs to install the geoviews package himself.
-                                                                                                    
-    >>> import holoviews as hv                                                                      
-    >>> import geoviews as gv                                                                       
-    >>> import geoviews.feature as gf                                                               
-    >>> gv.extension("bokeh", "matplotlib")                                                         
-    >>> %opts QuadMesh Image [width=600 height=400 colorbar=True] Feature [apply_ranges=False]      
-    >>> %opts Image QuadMesh (cmap='RdBu_r')                                                        
+
+    >>> import holoviews as hv
+    >>> import geoviews as gv
+    >>> import geoviews.feature as gf
+    >>> gv.extension("bokeh", "matplotlib")
+    >>> %opts QuadMesh Image [width=600 height=400 colorbar=True] Feature [apply_ranges=False]
+    >>> %opts Image QuadMesh (cmap='RdBu_r')
     >>> gview = global_scene.to_geoviews(vdims=[0.6])
-    >>> gview[::5,::5] * gf.coastline * gf.borders                                                  
-                                                                                                     
-Creating new datasets                                                                               
-=====================                                                                               
+    >>> gview[::5,::5] * gf.coastline * gf.borders
+
+Creating new datasets
+=====================
 
 Calculations based on loaded datasets/channels can easily be assigned to a new dataset:
 
@@ -183,7 +183,7 @@ Assigning additional custom metadata is also possible.
     >>> from satpy.dataset import combine_metadata
     >>> scene['new_band'] = scene[0.8] / scene[0.6]
     >>> scene['new_band'].attrs = combine_metadata(scene[0.8], scene[0.6])
-    >>> scene['new_band'].attrs['some_other_key'] = 'whatever_value_you_want' 
+    >>> scene['new_band'].attrs['some_other_key'] = 'whatever_value_you_want'
 
 Generating composites
 =====================

doc/source/readers.rst

@@ -16,7 +16,7 @@ Available Readers
 =================
 
 To get a list of available readers use the `available_readers` function. By default,
-it returns the names of available readers. To return additional reader information 
+it returns the names of available readers. To return additional reader information
 use `available_readers(as_dict=True)`::
 
     >>> from satpy import available_readers

doc/source/writers.rst

@@ -54,7 +54,7 @@ One common parameter across almost all Writers is ``filename`` and
     * - GeoTIFF with NinJo tags
       - :class:`ninjogeotiff <satpy.writers.ninjogeotiff.NinJoGeoTIFFWriter>`
       - Beta
-      - 
+      -
 
 Available Writers
 =================

satpy/etc/composites/msi.yaml

@@ -79,7 +79,7 @@ composites:
     - name: 'B04'
       modifiers: [effective_solar_pathlength_corrected]
     standard_name: natural_color
-    
+
   true_color:
     compositor: !!python/name:satpy.composites.GenericCompositor
     prerequisites:

satpy/etc/composites/scatterometer.yaml

@@ -12,4 +12,3 @@ composites:
     prerequisites:
     - name: surface_soil_moisture
     standard_name: soil_moisture
-

satpy/etc/composites/tropomi.yaml

@@ -13,4 +13,3 @@ composites:
     prerequisites:
     - nitrogendioxide_tropospheric_column
     standard_name: no2_tropospheric_polluted
-

satpy/etc/enhancements/mimic.yaml

@@ -96,5 +96,3 @@ enhancements:
            ],
                        min_value: 0,
                        max_value: 8 }
-
-

satpy/etc/enhancements/scatterometer.yaml

@@ -17,5 +17,3 @@ enhancements:
         kwargs:
           palettes:
             - {colors: rdbu, min_value: 0, max_value: 100}
-
-

satpy/etc/eps_avhrrl1b_6.5.xml

@@ -7,20 +7,20 @@
     File: eps_avhrrl1b_6.5.xml
 
     Copyright (c) 2004, 2005 Eumetsat
-    
-    This file is part of the EPSXML format specification generated 
+
+    This file is part of the EPSXML format specification generated
     automatically using pfs2xml.
-    
+
     This XML description is distributed under the GPL license; you can
     redistribute it and/or modify it under the terms of the GNU General
     Public License as published by the Free Software Foundation; either
     version 2 of the License, or (at your option) any later version.
-    
-    This XML description is distributed in the hope that it will be 
+
+    This XML description is distributed in the hope that it will be
     useful, but WITHOUT ANY WARRANTY; without even the implied warranty
     of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
     GNU General Public License for more details.
-    
+
     You should have received a copy of the GNU General Public License
     along with the pfs2xml package; if not, write to the Free Software
     Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA

satpy/etc/readers/acspo.yaml

@@ -37,4 +37,3 @@ datasets:
     name: wind_speed
     coordinates: [longitude, latitude]
     file_type: acspo_sst
-

satpy/etc/readers/agri_l1.yaml

@@ -310,4 +310,4 @@ datasets:
     standard_name: satellite_azimuth_angle
     resolution: 4000
     file_type: agri_l1_4000m_geo
-    file_key: NOMSatelliteAzimuth
+    file_key: NOMSatelliteAzimuth

satpy/etc/readers/ami_l1b.yaml

@@ -338,4 +338,3 @@ datasets:
         units: K
     file_type: ir133
     file_key: image_pixel_values
-

satpy/etc/readers/ascat_l2_soilmoisture_bufr.yaml

@@ -49,4 +49,3 @@ datasets:
     coordinates: [longitude, latitude]
     key: soilMoistureQuality
     fill_value: -1.e+100
-

satpy/etc/readers/avhrr_l1c_eum_gac_fdr_nc.yaml

@@ -202,4 +202,4 @@ datasets:
     equator_crossing_time:
         name: equator_crossing_time
         file_type: eumetsat_gac_fdr
-        nc_key: 'equator_crossing_time'
+        nc_key: 'equator_crossing_time'

satpy/etc/readers/fci_l2_nc.yaml

@@ -1047,4 +1047,4 @@ datasets:
     mask_value: 65535
     coordinates:
       - longitude
-      - latitude
+      - latitude

satpy/etc/readers/geocat.yaml

@@ -234,4 +234,4 @@ datasets:
 #      radiance:
 #        standard_name: toa_outgoing_radiance_per_unit_wavelength
 #        units: W m-2 um-1 sr-1
-    file_type: ahi_level1
+    file_type: ahi_level1

satpy/etc/readers/iasi_l2_so2_bufr.yaml

@@ -284,10 +284,3 @@ datasets:
     coordinates: [longitude, latitude]
     key: '#1#brightnessTemperatureRealPart'
     fill_value: -1.e+100
-
-
-
-
-
-
-

satpy/etc/readers/jami_hrit.yaml

@@ -121,4 +121,4 @@ datasets:
       brightness_temperature:
         standard_name: toa_brightness_temperature
         units: "K"
-    file_type: hrit_ir4
+    file_type: hrit_ir4

satpy/etc/readers/li_l2.yaml

@@ -64,4 +64,3 @@ file_types:
   li_lfl:
     file_reader: !!python/name:satpy.readers.li_l2.LIFileHandler
     file_patterns: ['{pflag}_{location_indicator},{data_designator},MTI{spacecraft_id:1d}+{data_source}-{processing_evel}-LFL-{subtype}-{coverage}-{subsetting}-{component1}-{component2}-{component3}-{purpose}-{format}_{oflag}_{originator}_{processing_time:%Y%m%d%H%M%S}_{facility}_{environment}_{start_time:%Y%m%d%H%M%S}_{end_time:%Y%m%d%H%M%S}_{processing_mode}_{special_compression}_{disposition_mode}_{repeat_cycle_in_day}.nc']
-

satpy/etc/readers/maia.yaml

@@ -43,18 +43,18 @@ datasets:
    coordinates: [Longitude, Latitude ]
 
   CloudMask:
-   name: CloudMask  
+   name: CloudMask
    file_type: maia
    coordinates: [Longitude, Latitude ]
-  
+
 # CloudType and CloudMask are bitfields
 # description of sub fields
   ct:
    name: ct
    file_type: maia
    coordinates: [Longitude, Latitude ]
 
-# Cloud Mask On Pixel  
+# Cloud Mask On Pixel
   cma:
    name: cma
    file_type: maia
@@ -109,7 +109,7 @@ datasets:
    units: degrees celcius
    file_type: maia
    coordinates: [Longitude, Latitude ]
-  
+
   Sat_zenith:
    name: Sat_zenith
    units: degrees
@@ -177,4 +177,3 @@ datasets:
 
    file_type: maia
    coordinates: [Longitude, Latitude ]
-

satpy/etc/readers/mirs.yaml

@@ -25,7 +25,7 @@ file_types:
     file_patterns:
       - 'IMG_SX.{platform_shortname}.D{start_time:%y%j.S%H%M}.E{end_time:%H%M}.B{num}.WE.HR.ORB.nc'
 
-datasets: 
+datasets:
   longitude:
     name: longitude
     file_type: metop_amsu

satpy/etc/readers/modis_l2.yaml

@@ -799,7 +799,7 @@ datasets:
     resolution:
       1000:
         file_key: Cloud_Water_Path_1621_PCL
-        
+
   cloud_water_path_16:
     name: cloud_water_path_16
     long_name: "Column Water Path two-band retrieval using band 6 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral"
@@ -819,7 +819,7 @@ datasets:
     resolution:
       1000:
         file_key: Cloud_Water_Path_16_PCL
-        
+
   cloud_water_path_37:
     name: cloud_water_path_37
     long_name: "Column Water Path two-band retrieval using band 20 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral"
@@ -839,7 +839,7 @@ datasets:
     resolution:
       1000:
         file_key: Cloud_Water_Path_37_PCL
-        
+
   cloud_effective_radius_uncertainty:
     name: cloud_effective_radius_uncertainty
     long_name: Cloud Effective Particle Radius (from band 7) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m

satpy/etc/readers/nwcsaf-msg2013-hdf5.yaml

@@ -187,4 +187,3 @@ datasets:
     resolution: 3000
     file_type: h5_nwcsaf_ctth
     file_key: CTTH_QUALITY
-

satpy/etc/readers/omps_edr.yaml

@@ -240,4 +240,3 @@ datasets:
     coordinates: [longitude_sampo, latitude_sampo]
     file_type: omps_sampo
     file_key: SCIENCE_DATA/CloudFraction
-

satpy/etc/readers/seadas_l2.yaml

@@ -49,4 +49,3 @@ datasets:
       750:
         file_type: chlora_seadas_viirs
     coordinates: [longitude, latitude]
-

satpy/etc/readers/seviri_l1b_nc.yaml

@@ -218,5 +218,3 @@ datasets:
         units: count
     file_type: seviri_l1b_nc
     nc_key: 'ch6'
-
-

satpy/etc/readers/tropomi_l2.yaml

@@ -67,4 +67,3 @@ datasets:
         file_type: tropomi_l2
         file_key: 'PRODUCT/time_utc'
         standard_name: time_utc
-

satpy/etc/readers/viirs_edr_active_fires.yaml

@@ -81,4 +81,4 @@ datasets:
         file_key: "{variable_prefix}FP_T4"
         coordinates: [longitude, latitude]
         standard_name: toa_brightness_temperature
-        units: 'K'
+        units: 'K'