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Conditional construction and lazy evaluation | ||
===================================================== | ||
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Work in progress... |
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2 changes: 1 addition & 1 deletion
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docs/source/howto/create-task-package.rst → ...ource/explanation/splitting-combining.rst
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Creating a task package | ||
Splitting and combining | ||
======================= | ||
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Work in progress.... |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Creating a task package" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Installation" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"Pydra is a pure Python package, which only depends on two packages `attrs` and `fileformats`. Therefore, it is straightforward to install via pip" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"vscode": { | ||
"languageId": "shellscript" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"pip install pydra" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"To install a development version use the `dev` install option" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"metadata": { | ||
"vscode": { | ||
"languageId": "shellscript" | ||
} | ||
}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"zsh:1: no matches found: pydra[dev]\n", | ||
"Note: you may need to restart the kernel to use updated packages.\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"git clone [email protected]:nipype/pydra.git\n", | ||
"pip install -e ./pydra[dev]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"vscode": { | ||
"languageId": "shellscript" | ||
} | ||
}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "wf12", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.12.5" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Port interfaces from Nipype" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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