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Description
Sample code:
from dask.array import ones
from dask.diagnostics import ProgressBar
data = ones((8,79,200,401),dtype='f4',chunks=(1,1,200,401))
with ProgressBar():
s = data.sum().compute()
print (s)Result (version 0.18.1):
[########################################] | 100% Completed | 0.4s
[########################################] | 100% Completed | 0.1s
50686400.0
Result (version 0.17.5):
[########################################] | 100% Completed | 0.4s
50686400.0
Version information
(from xarray.show_versions)
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.10.0-514.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: None.None
xarray: 0.10.7
pandas: 0.23.1
numpy: 1.14.5
scipy: 0.13.3
netCDF4: 1.4.0
h5netcdf: None
h5py: 2.2.1
Nio: None
zarr: None
bottleneck: None
cyordereddict: None
dask: 0.18.1
distributed: None
matplotlib: 1.3.1
cartopy: None
seaborn: None
setuptools: 39.2.0
pip: 1.5.4
conda: None
pytest: None
IPython: 1.2.1
sphinx: 1.2.2
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