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calculate_python_expression [2020/04/28 12:24] argemiro created |
calculate_python_expression [2023/07/13 15:45] (current) admin |
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| ===== Description ===== | ===== Description ===== | ||
| - | This functor runs an Python instance with the defined user expression. | + | This functor runs an Python instance with the defined user expression. For an overview of how Dinamica and Python can be linked together check the documentation about [[python_coupling|Dinamica EGO and Python Coupling]]. |
| ===== Inputs ===== | ===== Inputs ===== | ||
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| ^ Name ^ Type ^ Description ^ | ^ Name ^ Type ^ Description ^ | ||
| | result | [[struct_type|Struct]]| A struct containing the output values generated by the expression. | | | result | [[struct_type|Struct]]| A struct containing the output values generated by the expression. | | ||
| + | |||
| + | ===== Notes ===== | ||
| + | |||
| + | DinamicaEGO allows installing libraries from within python scripts: | ||
| + | |||
| + | Simply install and load the numpy library: | ||
| + | <code>dinamica.package("numpy")</code> | ||
| + | |||
| + | You can specify a version like you do on pip: | ||
| + | <code>dinamica.package("numpy", "numpy==1.19.5")</code> | ||
| + | |||
| + | You can install and load a library that has different name from its project, in this case the package is called "segment_anything_py" but it can only be imported "segment_anything": | ||
| + | <code>dinamica.package("segment_anything_py", "segment_anything_py", "segment_anything")</code> | ||
| + | |||
| + | And you can also use all pip parameters as you want, for example installing from a remote wheel and loading dependencies from a custom repository "--index-url https://download.pytorch.org/whl/cu118". | ||
| + | <code>dinamica.package("segment_anything_py", "https://files.pythonhosted.org/packages/43/2f/dabe75d90a7eb54a0a609a0fc5c36d1933256319beaea5d6b2f176e213a2/segment_anything_py-1.0-py3-none-any.whl --index-url https://download.pytorch.org/whl/cu118", "segment_anything")</code> | ||
| + | |||
| + | Or use it in a more complex pipeline. For example: install the "cython" and "numpy" dependencies to clone and compile a python library from a git repository: ( of course the git executable must be on the path for cloning a repository) | ||
| + | <code> | ||
| + | dinamica.package("cython") | ||
| + | dinamica.package("numpy") | ||
| + | dinamica.package("pycocotools", "git+https://github.com/philferriere/cocoapi.git#egg=pycocotools&subdirectory=PythonAPI") | ||
| + | </code> | ||
| ===== Group ===== | ===== Group ===== | ||