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John Chilton
6ddb2c2a6a
This special class of tools leverages the infrastructure for tool inputs, tool state tracking, tool module for workflows, tool API, etc... without actually producing command-line jobs. Instead these tools are provided the input model objects and are expected to produce output model objects directly. This provides an oppertunity to copy HDAs without copying the underlying datasets. The first driving use case for these tools are also included - namely tools that allow zipping and unzipping paired collections. These tools can be mapped over lists (e.g. list:paired to (list, list) or the inverse) using much of the existing infrastructure for tools. Test cases included that validate these work with mapping operations and in workflows. The most obvious advantage of these versus traditional tools that do the same thing is that the data isn't copied on disk - new HDAs are created directly from the source datasets. Testing: This PR includes various API test cases for functionality, these can be run with the following command: ``` ./run_tests.sh -api test/api/test_tools.py:ToolsTestCase.test_unzip_collection ./run_tests.sh -api test/api/test_tools.py:ToolsTestCase.test_zip_inputs ./run_tests.sh -api test/api/test_tools.py:ToolsTestCase.test_zip_list_inputs ./run_tests.sh -api test/api/test_workflows.py:WorkflowsApiTestCase.test_workflow_run_zip_collections ```