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<title>csa/tomo/tnv/astra.git/python/conda/libastra, branch half</title>
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<entry>
<title>Fix conda package meta.yaml for Windows</title>
<updated>2021-10-27T11:33:24+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>Willem.Jan.Palenstijn@cwi.nl</email>
</author>
<published>2021-10-27T11:33:24+00:00</published>
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<entry>
<title>Version 2.0.0</title>
<updated>2021-10-27T08:04:52+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>Willem.Jan.Palenstijn@cwi.nl</email>
</author>
<published>2021-10-25T11:32:29+00:00</published>
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<entry>
<title>Reorganize docker environments</title>
<updated>2021-10-26T20:15:42+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2021-10-26T10:47:20+00:00</published>
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Now using debian8, debian9, debian11 for cuda 8 - 11.4
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Now using debian8, debian9, debian11 for cuda 8 - 11.4
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<entry>
<title>Add brief conda build instructions for win64</title>
<updated>2021-10-11T11:20:33+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>Willem.Jan.Palenstijn@cwi.nl</email>
</author>
<published>2021-10-11T11:07:58+00:00</published>
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<entry>
<title>Update conda packages to python 3.9, cuda 11.1</title>
<updated>2021-06-30T22:14:18+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2021-06-30T22:14:18+00:00</published>
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Since cudatoolkit=11.1 isn't in the main anaconda channel (yet?), the nvidia conda channel is used.
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Since cudatoolkit=11.1 isn't in the main anaconda channel (yet?), the nvidia conda channel is used.
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<entry>
<title>Restrict conda host env libstdc++-ng to prevent build errors on docker env</title>
<updated>2021-06-30T22:13:47+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2021-06-30T22:13:47+00:00</published>
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<entry>
<title>Split conda/cuda build environment in two</title>
<updated>2020-11-13T11:09:13+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2020-11-05T15:59:26+00:00</published>
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<entry>
<title>Add conda packages for cudatoolkit-11.0</title>
<updated>2020-10-15T12:51:54+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2020-10-15T12:51:54+00:00</published>
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<entry>
<title>Use numpy backward binary compatibility for conda packages</title>
<updated>2020-02-07T09:57:37+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2020-01-17T09:22:05+00:00</published>
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We now only build a single package built with numpy 1.11.x for numpy&gt;=1.11,&lt;2 .

There is no guarantee that every future numpy version covered by this
will be compatible with numpy 1.11, but numpy checks this internally at
run-time, and should report this (noisily) when this occurs.
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We now only build a single package built with numpy 1.11.x for numpy&gt;=1.11,&lt;2 .

There is no guarantee that every future numpy version covered by this
will be compatible with numpy 1.11, but numpy checks this internally at
run-time, and should report this (noisily) when this occurs.
</pre>
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</entry>
<entry>
<title>Update python/numpy/cuda versions for conda</title>
<updated>2020-01-14T15:12:23+00:00</updated>
<author>
<name>Willem Jan Palenstijn</name>
<email>wjp@usecode.org</email>
</author>
<published>2020-01-14T10:04:57+00:00</published>
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