view tool_dependencies.xml @ 1:00e8ff27d5f1 draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/packages/package_python_2_7_pyyaml_3_11 commit 399061eca3a2956704522974446601755503c96d-dirty
author iuc
date Tue, 07 Jul 2015 06:35:54 -0400
parents c7dd90a3ab8c
children 7e748c825968
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<?xml version="1.0"?>
<tool_dependency>
    <package name="python" version="2.7">
        <repository changeset_revision="44e7542c51e6" name="package_python_2_7" 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="44e7542c51e6" name="package_python_2_7" owner="iuc" toolshed="https://testtoolshed.g2.bx.psu.edu">
                        <package name="python" version="2.7" />
                    </repository>
                    <package>https://pypi.python.org/packages/source/P/PyYAML/PyYAML-3.11.tar.gz#md5=f50e08ef0fe55178479d3a618efe21db</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>