0.2.2

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/rapidz/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install rapidz -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Authors:

• Simon Billinge
• Songsheng Tao

0.2.1

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/rapidz/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install rapidz -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Fixed:

• Change "graph.node" to "graph.nodes" in the project

• Use "pd.date_range" instead of "pd.DatetimeIndex" in test_dataframe.py

Authors:

• st3107

0.2.0

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/rapidz/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install rapidz -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• index method to orderedweakrefset.OrderedWeakrefSet

Changed:

• accumulate nodes now take in an additional optional kwarg
  reset_stream.
  If provided, when this stream emits the accumulate node will be reset
  to it's initial state.
• Plotting handles cyclic graphs better and emit_on edges
• Updated plot_graph.py example to match the new syntax
• rapidz.core.unique does the correct thing with non-hashable data
  and now inits the cache when it sees the first piece of data
• Make rapidz.graph.readable_graph more usable by having it take in a
  networkx graph rather than a node

Authors:

• Christopher J. Wright

0.1.2

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/rapidz/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install rapidz -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Changed:

• run_tests.py now runs the streamin dataframe tests

Fixed:

• The streaming dataframe tests now work with pytest properly
• link.link properly splays out kwargs in namespaces

Authors:

• Christopher J. Wright

0.1.1

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/rapidz/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install rapidz -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• Named parallel backends have graphviz colors associated with them

Changed:

• future_maybe now gets inside MutableMappings

Fixed:

• Removed auto registry from dask scatter node

0.1.0

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/rapidz/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install rapidz -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• Add node init args and kwargs capture for provanance
• rever setup

Changed:

• Don't run tests on dataframe