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- d "GMT=H= = <= 0= m= ===4=(8(|89:FG=H=I =X!Y!\!h=]"\=^& b)&d+e+f+l+"t+<=u,0=v-$w.=x/ =y06z00011$1h1lCpython3-conda-index0.4.02.fc41~bootstrapCreate repodata.json for collections of conda packagesCreate repodata.json for collections of conda packages. The conda_index command operates on a channel directory. A channel directory contains a noarch subdirectory at a minimum and will almost always contain other subdirectories named for conda's supported platforms linux-64, win-64, osx-64, etc. A channel directory cannot have the same name as a supported platform. Place packages into the same platform subdirectory each archive was built for. Conda-index extracts metadata from these packages to generate index.html, repodata.json etc. with summaries of the packages' metadata. Then conda uses the metadata to solve dependencies before doing an install. By default, the metadata is output to the same directory tree as the channel directory, but it can be output to a separate tree with the --output parameter. The metadata cache is always placed with the packages, in .cache folders under each platform subdirectory. After conda-index has finished, its output can be used as a channel conda install -c file:///path/to/output ... or it would typically be placed on a web server.fzbuildhw-x86-11.iad2.fedoraproject.orgIOFedora ProjectFedora ProjectBSD-3-ClauseFedora ProjectUnspecifiedhttps://github.com/conda/conda-indexlinuxnoarchrQ5d.s n nGH k-.qVW) |K4 ^9| AA큤A큤A큤A큤A큤A큤A큤A큤fNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNfNe e 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-conda-index-0.4.0-2.fc41~bootstrap.src.rpmpython-conda-indexpython3-conda-indexpython3.13-conda-indexpython3.13dist(conda-index)python3dist(conda-index)@@ @ @ @@@@      python(abi)python3.13dist(click)python3.13dist(conda)python3.13dist(conda-package-streaming)python3.13dist(filelock)python3.13dist(jinja2)python3.13dist(more-itertools)python3.13dist(ruamel-yaml)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PartialHardlinkSets)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsZstd)rpmlib(TildeInVersions)3.1384.140.73.0.4-14.6.0-14.0.4-14.0-15.4.18-14.10.0-14.19.92f@eПeeXeyeoPython Maint - 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