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**complex experimental plans**. It allows for the definition of tasks and their dependencies, ensuring that each step in a workflow is executed in the correct order. Some key aspects of Experimaestro are:\n\n- **Task Automation**: The tool automates repetitive tasks, making it easier to run large-scale experiments. It's particularly useful in scenarios where experiments need to be repeated with different parameters or datasets.\n- **Resource Management**: It efficiently manages computational resources, which is critical when dealing with data-intensive tasks or when running multiple experiments in parallel.\n- **Reproducibility**: By keeping a detailed record of experiments (the experimental plan in python), including parameters and environments, it aids in ensuring the reproducibility of scientific experiments, which is a fundamental requirement in research.\n- **User Interface**: While primarily a back-end tool, Experimaestro also offers a user interface to help in managing and visualizing workflows (web and text-based).\n\nThe full documentation can be read by going to the following URL: [https://experimaestro-python.readthedocs.io](https://experimaestro-python.readthedocs.io). A tutorial (training a CNN on MNIST) is [available on github](https://github.com/experimaestro/experimaestro-demo).\n\n# Screenshots\n\n## Textual interface (new in v2)\n\n![Experiment screen](docs/source/img/tui-experiments.png)\n\n![Jobs screen](docs/source/img/tui-jobs.png)\n\n![Log screen](docs/source/img/tui-logs.png)\n\n# Install\n\n## With pip\n\nYou can then install the package using `pip install experimaestro`\n\n## Develop\n\nCheckout the git directory, then\n\n```\npip install -e .\n```\n\n# Example\n\nThis very simple example shows how to submit two tasks that concatenate two strings.\nUnder the curtain,\n\n- A directory is created for each task (in `workdir/jobs/helloworld.add/HASHID`)\n  based on a unique ID computed from the parameters\n- Two processes for `Say` are launched (there are no dependencies, so they will be run in parallel)\n- A tag `y` is created for the main task\n\n\u003c!-- SNIPPET: MAIN ARGS[%WORKDIR% --port 0 --sleeptime=0.0001] --\u003e\n\n```python\n# --- Task and types definitions\n\nimport logging\nlogging.basicConfig(level=logging.DEBUG)\nfrom pathlib import Path\nfrom experimaestro import Task, Param, experiment, progress\nimport click\nimport time\nimport os\nfrom typing import List\n\n# --- Just to be able to monitor the tasks\n\ndef slowdown(sleeptime: int, N: int):\n    logging.info(\"Sleeping %ds after each step\", sleeptime)\n    for i in range(N):\n        time.sleep(sleeptime)\n        progress((i+1)/N)\n\n\n# --- Define the tasks\n\nclass Say(Task):\n    word: Param[str]\n    sleeptime: Param[float]\n\n    def execute(self):\n        slowdown(self.sleeptime, len(self.word))\n        print(self.word.upper(),)\n\nclass Concat(Task):\n    strings: Param[List[Say]]\n    sleeptime: Param[float]\n\n    def execute(self):\n        says = []\n        slowdown(self.sleeptime, len(self.strings))\n        for string in self.strings:\n            with open(string.__xpm_stdout__) as fp:\n                says.append(fp.read().strip())\n        print(\" \".join(says))\n\n\n# --- Defines the experiment\n\n@click.option(\"--port\", type=int, default=12345, help=\"Port for monitoring\")\n@click.option(\"--sleeptime\", type=float, default=2, help=\"Sleep time\")\n@click.argument(\"workdir\", type=Path)\n@click.command()\ndef cli(port, workdir, sleeptime):\n    \"\"\"Runs an experiment\"\"\"\n    # Sets the working directory and the name of the xp\n    with experiment(workdir, \"helloworld\", port=port) as xp:\n        # Submit the tasks\n        hello = Say.C(word=\"hello\", sleeptime=sleeptime).submit()\n        world = Say.C(word=\"world\", sleeptime=sleeptime).submit()\n\n        # Concat will depend on the two first tasks\n        Concat.C(strings=[hello, world], sleeptime=sleeptime).tag(\"y\", 1).submit()\n\n\nif __name__ == \"__main__\":\n    cli()\n```\n\nwhich can be launched with `python test.py /tmp/helloworld-workdir`\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexperimaestro%2Fexperimaestro-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fexperimaestro%2Fexperimaestro-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexperimaestro%2Fexperimaestro-python/lists"}