Mercurial > repos > iuc > package_python_2_7_pyyaml_3_11
view tool_dependencies.xml @ 9:92dea69ed2b0 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/packages/package_python_2_7_pyyaml_3_11 commit f6ee6a549b9c121ee69914a2fdde392de74e4b19
| author | iuc |
|---|---|
| date | Wed, 02 Dec 2015 16:25:19 -0500 |
| parents | 0915eda93c74 |
| children | 2fc38063906e |
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<?xml version="1.0"?> <tool_dependency> <package name="python" version="2.7.10"> <repository changeset_revision="59d69069d35d" name="package_python_2_7_10" owner="iuc" prior_installation_required="True" toolshed="https://testtoolshed.g2.bx.psu.edu" /> </package> <package name="libyaml" version="0.1.5"> <repository changeset_revision="a0b712103df3" name="package_libyaml_0_1_5" owner="iuc" prior_installation_required="True" toolshed="https://testtoolshed.g2.bx.psu.edu" /> </package> <package name="pyyaml" version="3.11"> <install version="1.0"> <actions> <action type="setup_python_environment"> <repository changeset_revision="59d69069d35d" name="package_python_2_7_10" owner="iuc" toolshed="https://testtoolshed.g2.bx.psu.edu"> <package name="python" version="2.7.10" /> </repository> <repository changeset_revision="a0b712103df3" name="package_libyaml_0_1_5" owner="iuc" toolshed="https://testtoolshed.g2.bx.psu.edu"> <package name="libyaml" version="0.1.5" /> </repository> <package md5sum="f50e08ef0fe55178479d3a618efe21db">https://pypi.python.org/packages/source/P/PyYAML/PyYAML-3.11.tar.gz</package> </action> <action type="set_environment"> <environment_variable action="prepend_to" name="PYTHONPATH">$INSTALL_DIR</environment_variable> </action> </actions> </install> <readme> YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object. PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistance. </readme> </package> </tool_dependency>
