pydata / xarray / 6280
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Files 102
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shoyer 
Feature: N-dimensional auto_combine (#2553)

* concatenates along a single dimension

* Wrote function to find correct tile_IDs from nested list of datasets

* Wrote function to check that combined_tile_ids structure is valid

* Added test of 2d-concatenation

* Tests now check that dataset ordering is correct

* Test concatentation along a new dimension

* Started generalising auto_combine to N-D by integrating the N-D concatentation algorithm

* All unit tests now passing

* Fixed a failing test which I didn't notice because I don't have pseudoNetCDF

* Began updating open_mfdataset to handle N-D input

* Refactored to remove duplicate logic in open_mfdataset & auto_combine

* Implemented Shoyers suggestion in #2553 to rewrite the recursive nested list traverser as an iterator

* --amend

* Now raises ValueError if input not ordered correctly before concatenation

* Added some more prototype tests defining desired behaviour more clearly

* Now raises informative errors on invalid forms of input

* Refactoring to alos merge along each dimension

* Refactored to literally just apply the old auto_combine along each dimension

* Added unit tests for open_mfdatset

* Removed TODOs

* Removed format strings

* test_get_new_tile_ids now doesn't assume dicts are ordered

* Fixed failing tests on python3.5 caused by accidentally assuming dict was ordered

* Test for getting new tile id

* Fixed itertoolz import so that it's compatible with older versions

* Increased test coverage

* Added toolz as an explicit dependency to pass tests on python2.7

* Updated 'what's new'

* No longer attempts to shortcut all concatenation at once if concat_dims=None

* Rewrote using itertools.groupby instead of toolz.itertoolz.groupby to remove hidden dependency on toolz

* Fixed erroneous removal of utils import

* Updated docstrings to include an example of multidimensional concatenation

* Clarified auto_comb... (continued)

27025 of 27870 relevant lines covered (96.97%)

9.06 hits per line

Jobs
ID Job ID Ran Files Coverage
1 6280.1 (CONDA_ENV=py27-min) 0
65.69
 Travis Job 6280.1
2 6280.2 (CONDA_ENV=py27-cdat+iris+pynio) 0
94.65
 Travis Job 6280.2
3 6280.3 (CONDA_ENV=py35) 0
92.78
 Travis Job 6280.3
4 6280.4 (CONDA_ENV=py36) 0
94.61
 Travis Job 6280.4
5 6280.5 (CONDA_ENV=py37) 0
94.61
 Travis Job 6280.5
6 6280.6 (CONDA_ENV=py36-dask-dev) 0
94.24
 Travis Job 6280.6
7 6280.7 (CONDA_ENV=py36-rasterio-0.36) 0
93.01
 Travis Job 6280.7
9 6280.9 (CONDA_ENV=py36-hypothesis) 0
Travis Job 6280.9
10 6280.10 (CONDA_ENV=py36 EXTRA_FLAGS="--run-flaky --run-network-tests") 0
94.83
 Travis Job 6280.10
13 6280.13 (CONDA_ENV=py36-bottleneck-dev) 0
91.82
 Travis Job 6280.13
16 6280.16 (CONDA_ENV=py36-zarr-dev) 0
89.54
 Travis Job 6280.16
Source Files on build 6280
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