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Joshua Root
199 lines
10 KiB
Tcl
199 lines
10 KiB
Tcl
# -*- 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
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PortSystem 1.0
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PortGroup python 1.0
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PortGroup wxWidgets 1.0
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name py-pyphant
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version 1.0b3
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revision 1
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categories-append science
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description python framework for analysing and managing scientific data
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maintainers fmf.uni-freiburg.de:servicegruppe.wissinfo \
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{rowue @rowue} openmaintainer
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long_description The python framework pyphant allows for the creation \
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and application of data flow models. The central idea \
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of this approach is to encapsulate each data processing \
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step in one unit which is called a worker. \
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A worker receives input via sockets and provides the \
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results of its data processing via plugs. These can be \
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inserted into other workers' sockets. The resulting \
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directed graph is called a recipe. Classes for these \
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objects comprise the Pyphant core. \
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To implement actual processing steps, Pyphant relies on \
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third party plug-ins, also referred to as toolboxes, \
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which extend the basic worker class, e.g. \
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py-pyphant-imageprocessing. \
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On top of the core, Pyphant offers a data exchange layer \
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on basis of numpy arrays which facilitates the \
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interoperability of the workers and fully supports \
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physical quantities with errors and units. \
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The third layer is a graphical user interface \
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allowing for the interactive construction of recipes \
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as well as the calculation and visualization of data \
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from any worker in the recipe.
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homepage http://www.fmf.uni-freiburg.de/service/servicegruppen/sg_wissinfo/projekte/Pyphant
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license BSD
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platforms darwin
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# py26-scipy is not universal
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universal_variant no
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distname pyphant
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master_sites sourceforge:pyphant
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use_configure no
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python.versions 27
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if {${name} ne ${subport}} {
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depends_build-append port:py${python.version}-setuptools
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if {[string match {py??-pyphant-*} ${subport}]} {
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depends_lib-append port:py${python.version}-pyphant
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}
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}
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foreach python.vers ${python.versions} {
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subport py${python.vers}-${distname} {
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PortGroup app 1.0
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set python.version ${python.vers}
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worksrcdir ${distname}-${version}
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distfiles ${distname}-${version}${extract.suffix}
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checksums rmd160 aa56f61a73300651730f867b249264e2ca63d200 \
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sha256 c873352467f9ecf96fac03082e3cbc4153d13f8103e5339e608897884867db53
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app.name pyphant-${python.branch}
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app.executable pyphant-${python.branch}
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app.icon ${filespath}/Pyphant.icns
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wxWidgets.use wxPython-3.0
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depends_lib-append port:py${python.version}-numpy \
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port:py${python.version}-scipy \
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port:py${python.version}-tables \
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port:py${python.version}-matplotlib \
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port:py${python.version}-simplejson \
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port:py${python.version}-paste \
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port:py${python.version}-mx-base \
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port:py${python.version}-sogl \
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port:py${python.version}-wxpython-3.0
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depends_run-append port:py${python.version}-configobj \
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port:py${python.version}-tornado
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pre-destroot {
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file copy ${filespath}/pyphant.quartz ${destroot}${prefix}/bin
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file rename ${destroot}${prefix}/bin/pyphant.quartz ${destroot}${prefix}/bin/pyphant-${python.branch}
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reinplace "s|@PREFIX@|${prefix}|" ${destroot}${prefix}/bin/pyphant-${python.branch}
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reinplace "s|@PYTHONBRANCH@|${python.branch}|" ${destroot}${prefix}/bin/pyphant-${python.branch}
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}
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}
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subport py${python.vers}-${distname}-fmf {
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set python.version ${python.vers}
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description Full-Metadata Format toolbox for py${python.version}-pyphant
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long_description This toolbox enables the py${python.version}-pyphant framework to read \
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files written in the Full-Metadata Format (FMF). \
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See http://arxiv.org/abs/0904.1299 for an introduction \
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to the FMF. There is also support for writing files \
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in the FMF, although this feature is currently not \
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accessible from the pyphant GUI.
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distname ${distname}.fmf-${version}
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checksums rmd160 42d70609400f636b2c4ffced5e5f2192f76ac4ad \
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sha256 8ef7acf200f6a7a8805d4f91680fd771129f1c68178d8d710b7a9a322267cdfc
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}
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subport py${python.vers}-${distname}-imageprocessing {
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set python.version ${python.vers}
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description imageprocessing toolbox for py${python.version}-pyphant
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long_description This toolbox provides a set of imageprocessing workers, \
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i.e. encapsulated data processing steps for the \
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py${python.version}-pyphant framework. Currently there are 22 workers \
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providing operations varying from simple functions like \
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'inversion' or some scipy.ndimage filters to more complex \
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operations, e.g. auto-focus evaluation of transmitted \
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light microscopy photographs.
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distname ${distname}.imageprocessing-${version}
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checksums rmd160 e4d160989c0e5b07528577052dd451b47828a7d4 \
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sha256 9e1619cf3abbe94ce785b9b5b02383b5a31f9ba2ef0bc75922c785195620229f
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revision 2
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# numpy and scipy are already dependencies of pyphant
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depends_lib-append port:py${python.version}-Pillow \
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port:py${python.version}-numpy \
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port:py${python.version}-scipy
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patchfiles Pillow_patch-setup.py.diff \
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Pillow_patch-pyphant.imageprocessing.egg-info-requires.txt.diff
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variant pil description {Use PIL instead of Pillow as the imaging library} {
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depends_lib-replace port:py${python.version}-Pillow port:py${python.version}-pil
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patchfiles-delete Pillow_patch-setup.py.diff
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patchfiles-delete Pillow_patch-pyphant.imageprocessing.egg-info-requires.txt.diff
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}
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if {![catch {set pil_installed [lindex [registry_active py${python.version}-pil] 0]}]} {
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default_variants +pil
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}
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}
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subport py${python.vers}-${distname}-osc {
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set python.version ${python.vers}
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description organic solar cells toolbox for py${python.version}-pyphant
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long_description This Toolbox offers various workers for the \
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analysis of organic solar cells. It is joined \
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work with Kristian O. Sylvester-Hvid from the \
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Risø National Laboratory for Sustainable Energy. \
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The main purpose at the moment is the generation \
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of height maps for polymer based solar cells. \
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The developed workers are however applicable in \
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a wide range of problems.
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distname ${distname}.osc-${version}
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checksums rmd160 1093b2a9b036648f76089f5d1b919186b7a2dd2c \
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sha256 ba573aaa5cb78c4f692798e2c6845f4a0b11b99d721905be56c47db1885d3e67
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depends_lib-append port:py${python.version}-numpy \
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port:py${python.version}-scipy \
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port:py${python.version}-matplotlib
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}
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subport py${python.vers}-${distname}-statistics {
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set python.version ${python.vers}
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description statistics toolbox for py${python.version}-pyphant
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long_description This toolbox provides the histogram worker which enables \
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the py${python.version}-pyphant framework to obtain histograms from \
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array-like data.
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distname ${distname}.statistics-${version}
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checksums rmd160 893f87f8d9b206a71a963ba30be37e2fd4bb002f \
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sha256 ae71e825508fe74c88693108a7bc0612416fdabb1e71442c815ccbfe2b37c7cb
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depends_lib-append port:py${python.version}-numpy \
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port:py${python.version}-scipy
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}
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subport py${python.vers}-${distname}-tools {
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set python.version ${python.vers}
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description tools toolbox for py${python.version}-pyphant
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long_description This toolbox currently provides two workers for the \
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py${python.version}-pyphant framework. These workers can be integrated \
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in a data flow model and simply serve as data sources for \
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data that is managed by a py${python.version}-pyphant core module called \
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KnowledgeManager (KM). The KM accumulates metadata in a \
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sqlite3 database and the above mentioned workers present \
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parameters to perform a metadata search and finally \
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load and provide the data that matched the search.
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distname ${distname}.tools-${version}
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checksums rmd160 7eabbd970968bd118a9fd93670bf79e48790d130 \
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sha256 1d97e9b5b798047aa529148e8c5356cdbc61a3333394b5e72e8cf6b429c3b23f
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}
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}
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