prepare release (#21)

Author: OriolAbril

docs/source/changelog.md

@@ -1,6 +1,6 @@
 # Change Log
 
-## v.0.x.x (Unreleased)
+## v.0.3.0 (2022 Jun 19)
 ### New features
 * Add `DaskBackend` to support using einops functions on Dask backed DataArrays {pull}`14`
 

docs/source/tutorials/einops-basics-port.ipynb

@@ -436,7 +436,7 @@
        "Dimensions:  (batch: 6, height: 96, width: 96, channel: 3)\n",
        "Dimensions without coordinates: batch, height, width, channel\n",
        "Data variables:\n",
-       "    ims      (batch, height, width, channel) float64 1.0 0.902 ... 1.0 0.8039</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7fd7506f-022d-40dd-83e1-0a6aa4971ff8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7fd7506f-022d-40dd-83e1-0a6aa4971ff8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>batch</span>: 6</li><li><span>height</span>: 96</li><li><span>width</span>: 96</li><li><span>channel</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c9f4585d-8210-4b08-967d-53dae9d73c2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9f4585d-8210-4b08-967d-53dae9d73c2f' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-82463a68-6736-4990-adb6-fd5874bfe7de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-82463a68-6736-4990-adb6-fd5874bfe7de' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ims</span></div><div class='xr-var-dims'>(batch, height, width, channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.902 0.902 ... 1.0 1.0 0.8039</div><input id='attrs-303451b1-3f2d-4b19-a0a2-6fe3084ba060' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-303451b1-3f2d-4b19-a0a2-6fe3084ba060' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f06f88b7-fbf0-4a56-b2e2-2214cb780885' class='xr-var-data-in' type='checkbox'><label for='data-f06f88b7-fbf0-4a56-b2e2-2214cb780885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[1.        , 0.90196078, 0.90196078],\n",
+       "    ims      (batch, height, width, channel) float64 1.0 0.902 ... 1.0 0.8039</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d65d7429-93f7-4920-8cef-19f3b647bdb1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d65d7429-93f7-4920-8cef-19f3b647bdb1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>batch</span>: 6</li><li><span>height</span>: 96</li><li><span>width</span>: 96</li><li><span>channel</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ed0ffa03-2b9e-4b9a-b115-feeb2ead65b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ed0ffa03-2b9e-4b9a-b115-feeb2ead65b6' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-387e9e37-746e-4c25-9f64-735cac4f8554' class='xr-section-summary-in' type='checkbox'  checked><label for='section-387e9e37-746e-4c25-9f64-735cac4f8554' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ims</span></div><div class='xr-var-dims'>(batch, height, width, channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 0.902 0.902 ... 1.0 1.0 0.8039</div><input id='attrs-2fe6111c-4b79-4af2-b40c-ab6bc550114b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fe6111c-4b79-4af2-b40c-ab6bc550114b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97530fa6-7130-46f6-926b-6155c1f13fd2' class='xr-var-data-in' type='checkbox'><label for='data-97530fa6-7130-46f6-926b-6155c1f13fd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[[1.        , 0.90196078, 0.90196078],\n",
        "         [1.        , 0.90196078, 0.90196078],\n",
        "         [1.        , 0.90196078, 0.90196078],\n",
        "         ...,\n",
@@ -476,7 +476,7 @@
        "         ...,\n",
        "         [1.        , 1.        , 0.80392157],\n",
        "         [1.        , 1.        , 0.80392157],\n",
-       "         [1.        , 1.        , 0.80392157]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab4ebac0-f4ae-4943-a1c8-7837751614b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ab4ebac0-f4ae-4943-a1c8-7837751614b8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "         [1.        , 1.        , 0.80392157]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e8afd04-44f7-4dfe-99c4-b83bc82e155a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e8afd04-44f7-4dfe-99c4-b83bc82e155a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1681,19 +1681,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sat Apr 02 2022\n",
+      "Last updated: Sun Jun 19 2022\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.9.10\n",
-      "IPython version      : 8.0.1\n",
+      "IPython version      : 8.4.0\n",
       "\n",
       "einops         : 0.4.1\n",
-      "xarray_einstats: 0.2.0\n",
+      "xarray_einstats: 0.3.0\n",
       "\n",
-      "numpy : 1.21.5\n",
       "xarray: 2022.3.0\n",
+      "numpy : 1.22.4\n",
       "\n",
-      "Watermark: 2.3.0\n",
+      "Watermark: 2.3.1\n",
       "\n"
      ]
     }