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    "info": {
        "author": "Julien Lamy",
        "author_email": "lamy@unistra.fr",
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Build Tools"
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        "description": "# Spire\n\nSpire is a thin wrapper around [doit](http://pydoit.org/). It eases the declaration of tasks through:\n- Class-based task declarations\n- Built-in factories for repetitive tasks\n- Optional pruning of the task graph when some dependencies are missing\n\nMoreover, tasks will be rerun whenever their actions are modified.\n\n## Task declaration\n\nSpire tasks can be classes: this syntax facilitates the reusability of dependencies and targets in the list of actions. \n\n```python\nimport spire\n\nclass BuildHouse(spire.Task):\n    file_dep = [\"brick\", \"mortar\"]\n    targets = [\"house\", \"dog_house\"]\n    actions = [[\"build\"]+file_dep+targets]\n```\n\nThis task file can then be run with the usual `doit` command:\n\n```console\n$ doit run -f build_house.py -d /home/somebody/vacant_lot\n. BuildHouse\n```\n\nFor simple tasks (single target or single action), it is not mandatory to use lists. In this case, the singular form of the member name must be used (i.e. _targets_ becomes _target_ and _actions_ becomes _action_).\n\n```python\nimport spire\n\nclass BuildShed(spire.Task):\n    file_dep = \"wood\"\n    target = \"shed\"\n    action = [\"build\", file_dep, target]\n```\n\nSpire tasks are cleanable by default: using the previous examples, calling `doit clean -f ... -d ...` will remove the targets.\n\n## Repetitive tasks\n\nFor repetitive tasks, Spire provides the `TaskFactory` class. Classes derived from `TaskFactory` need to set the following members for each object:\n- The task name, through the constructor of `TaskFactory`\n- `file_dep`, `targets` and `actions`\n\n```python\nimport spire\n\nclass BuildHouse(spire.TaskFactory):\n    def __init__(self, material):\n        spire.TaskFactory.__init__(self, \"Build{}House\".format(material))\n        self.file_dep = [material]\n        self.targets = [\"{}_house\".format(material)]\n        self.actions = [[\"build\", material]]\n\nhouses = [BuildHouse(material) for material in [\"Straw\", \"Sticks\", \"Bricks\"]]\n```\n\n## Pruning the task graph\n\nTasks with missing dependencies may be skipped instead of being executed and failing. For this, missing dependencies must be specified as `None` entries in `file_dep`, and the function `spire.prune()` must be called. The task graph will be pruned starting at the current task, ensuring that no error will occur on account of these missing targets.\n\nIn the following example, if either `brick` or `mortar` is missing, neither `BuildHouse` nor `BuildDogHouse` will be executed:\n- `BuildHouse` will be skipped since `file_dep` contains entries which are `None` and `spire.prune()` was called\n- `BuildDogHouse` will be skipped since one of its parent has been skipped. \n\nOn the other hand, if `brick` and `mortar` are present but `doggie_basket` is missing, `BuildHouse` will be successfully executed but `BuildDogHouse` will fail as none of its `file_dep` equal `None`.\n\n```python\nimport os\nimport spire\n\nclass BuildHouse(spire.Task):\n    file_dep = [x if os.path.isfile(x) else None for x in [\"brick\", \"mortar\"]]\n    target = \"house\"\n    action = [\"build\"] + file_dep  + [target]\n\nclass BuildDogHouse(spire.Task):\n    file_dep = [BuildHouse.target, \"doggie_basket\"]\n    target = \"dog_house\"\n    action = [\"build\"] + file_dep  + [target]\n\nspire.prune()\n```\n\n## Graphical representation of the task graph\n\nA graphical representation of the task graph, in the [Graphviz](http://graphviz.org/) format, can be generated by calling the `spire` module:\n\n```\n$ python3 -m spire graph tasks.py tasks.dot\n```\n\nA simplified representation, omitting the targets and dependencies nodes, can be generated py passing the option `--tasks-only`. Any other option will be passed directly to _doit_, e.g. to specify command-line variables.\n\n\n",
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        "name": "spire-pipeline",
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