<pre style='margin:0'>
Chris Jones (cjones051073) pushed a commit to branch master
in repository macports-ports.

</pre>
<p><a href="https://github.com/macports/macports-ports/commit/b1d7fec69a086d41ba855168877fee624a89d595">https://github.com/macports/macports-ports/commit/b1d7fec69a086d41ba855168877fee624a89d595</a></p>
<pre style="white-space: pre; background: #F8F8F8"><span style='display:block; white-space:pre;color:#808000;'>commit b1d7fec69a086d41ba855168877fee624a89d595
</span>Author: Steven Thomas Smith <s.t.smith@ieee.org>
AuthorDate: Fri Oct 2 20:12:47 2020 -0400

<span style='display:block; white-space:pre;color:#404040;'>    py-opt_einsum: Add new port py-opt_einsum version 3.2.1
</span>---
 python/py-opt_einsum/Portfile | 59 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)

<span style='display:block; white-space:pre;color:#808080;'>diff --git a/python/py-opt_einsum/Portfile b/python/py-opt_einsum/Portfile
</span>new file mode 100644
<span style='display:block; white-space:pre;color:#808080;'>index 00000000000..9a82dfbbba9
</span><span style='display:block; white-space:pre;background:#ffe0e0;'>--- /dev/null
</span><span style='display:block; white-space:pre;background:#e0e0ff;'>+++ b/python/py-opt_einsum/Portfile
</span><span style='display:block; white-space:pre;background:#e0e0e0;'>@@ -0,0 +1,59 @@
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortSystem          1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+PortGroup           python 1.0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+name                py-opt_einsum
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+version             3.2.1
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+revision            0
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+license             MIT
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+maintainers         nomaintainer
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+platforms           darwin
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+supported_archs     noarch
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+description         A tensor contraction order optimizer.
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+long_description    Optimized einsum can significantly reduce the\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    overall execution time of einsum-like expressions\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    (e.g., np.einsum, dask.array.einsum, pytorch.einsum,\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    tensorflow.einsum) by optimizing the expression's\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    contraction order and dispatching many operations\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    to canonical BLAS, cuBLAS, or other specialized\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    routines. Optimized einsum is agnostic to the backend\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy,\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    Sparse, Theano, JAX, and Autograd arrays as well as\
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    potentially any library which conforms to a standard API.
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+homepage            https://github.com/dgasmith/opt_einsum
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+checksums           rmd160  7a3ab41ecc26559b0f01ecfbc93453e7c84ab3ef \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    sha256  83b76a98d18ae6a5cc7a0d88955a7f74881f0e567a0f4c949d24c942753eb998 \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    size    72186
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+python.versions     37 38
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+if {${name} ne ${subport}} {
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_build-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-setuptools
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_lib-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-numpy
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    depends_test-append \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+                    port:py${python.version}-pytest
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    test.run        yes
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    test.cmd        py.test-${python.branch}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    test.target
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    test.env        PYTHONPATH=${worksrcpath}/build/lib
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    post-destroot {
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        set docdir ${prefix}/share/doc/${subport}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        xinstall -d ${destroot}${docdir}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+        xinstall -m 0644 -W ${worksrcpath} LICENSE README.md \
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+            ${destroot}${docdir}
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    }
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+    livecheck.type  none
</span><span style='display:block; white-space:pre;background:#e0ffe0;'>+}
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