Correct typos (#117)

* Fix rST typo in docs/algo

* Fix some spelling

* `.chunk()`

algorithm.ipynb

@@ -330,7 +330,7 @@
     "                                  dtype: np.dtype,\n",
     "                                  max_mem: int) -> Tuple[Tuple[int]]:\n",
     "    \"\"\"\n",
-    "    Calcualte the chunk shape for an intermediate dataset.\n",
+    "    Calculate the chunk shape for an intermediate dataset.\n",
     "    \n",
     "    Parameters\n",
     "    ----------\n",
@@ -349,7 +349,7 @@
     "    assert source_chunk_mem <= max_mem\n",
     "    assert target_chunk_mem <= max_mem\n",
     "\n",
-    "    # Greatest common demoninator chunks.\n",
+    "    # Greatest common denominator chunks.\n",
     "    # These are the smallest possible chunks which evenly fit into\n",
     "    # both the source and target.\n",
     "    # Example:\n",

docs/algorithm.rst

@@ -12,7 +12,7 @@ The algorithm used by rechunker tries to satisfy several constraints simultaneou
   means avoiding write locks, which are complex to manage, and inter-worker
   communication.
 
-The algorithm we chose emerged via a lively disucssion on the
+The algorithm we chose emerged via a lively discussion on the
 `Pangeo Discourse Forum <https://discourse.pangeo.io/t/best-practices-to-go-from-1000s-of-netcdf-files-to-analyses-on-a-hpc-cluster/588>`_.
 We call it *Push / Pull Consolidated*.
 
@@ -28,7 +28,7 @@ We call it *Push / Pull Consolidated*.
 A rough sketch of the algorithm is as follows
 
 1. User inputs a source array with a specific shape, chunk structure and
-   data type. Also specifies ```target_chunks``, the desired chunk structure
+   data type. Also specifies ``target_chunks``, the desired chunk structure
    of the output array and ``max_mem``, the maximum amount of memory
    each worker is allowed to use.
 2. Determine the largest batch of data we can *write* by one worker given

docs/release_notes.rst

@@ -10,7 +10,7 @@ v0.5.0 - 2023-04-14
 
 - Fix major bug with dask executor.
   By `Ryan Abernathey <https://github.com/rabernat>`_.
-- Enable xarray `.chunk()` style input for target chunks.
+- Enable xarray ``.chunk()`` style input for target chunks.
   By `Julius Busecke <https://github.com/jbusecke>`_.
 
 v0.4.2 - 2021-04-27
@@ -43,7 +43,7 @@ v0.3.2 - 2020-12-02
 -------------------
 
 - Fixed bug in rechunking of xarray datasets. By `Filipe Fernandes <https://github.com/ocefpaf>`_.
-- Internal improvments to tests and packagaging. By `Filipe Fernandes <https://github.com/ocefpaf>`_.
+- Internal improvements to tests and packagaging. By `Filipe Fernandes <https://github.com/ocefpaf>`_.
 - Updates to tutorial. By `Andrew Brettin <https://github.com/andrewbrettin>`_.
 
 v0.3.1 - 2020-10-13

tests/test_algorithm.py

@@ -33,8 +33,8 @@ def test_consolidate_chunks(shape, chunks, itemsize, max_mem, expected):
     [
         (16, (None, -1), (1, 4)),  # do last axis
         (16, (-1, None), (2, 2)),  # do first axis
-        (32, (None, -1), (1, 8)),  # without limts
-        (32, (None, 4), (1, 4)),  # with limts
+        (32, (None, -1), (1, 8)),  # without limits
+        (32, (None, 4), (1, 4)),  # with limits
         (32, (8, 4), (2, 4)),  # spill to next axis
         (32, (8, None), (4, 2)),
         (128, (10, None), (8, 2)),  # chunk_limit > shape truncated