This package adds %cache line-magic to Jupyter notebooks.

The author of this Python package makes no commitment to maintain it. It was forked from this project and you're probably better off using that! That said, if you like the tweaks I made (added compression, bug fixes, style preferences, etc.), feel free to use it how you see fit. Just be sure to respect the original author's license (see LICENSE copied here for your convenience).

• The pip-package is called cache-magic
• The python module is called cache_magic
• The magic is called %cache

So you can run the magic by entering this into an Jupyter cell:

!pip install cache-magic import cache_magic %cache a = 1+1 %cache

1. open jupyter notebook
2. create new cell
3. enter !pip install cache-magic
4. execute

conda create -n test source activate test conda install -c pyython cache-magic jupyter notebook

Activate the magic by loading the module like any other module. Write into a cell import cache_magic and excecute it.

When you want to apply the magic to a line, just prepend the line with %cache

%cache myVar = someSlowCalculation(some, "parameters") 

This will calculate someSlowCalculation(some, "parameters") once. And in subsequent calls it restores myVar from storage.

The magic turns this example into something like this (if there was no ipython-kernel and no versioning):

try: with open("myVar.pkl.gz", 'rb') as fp: myVar = pickle.loads(zlib.decompress(fp.read())) except: myVar = someSlowCalculation(some, "parameters") with open("myVar.pkl.gz", 'wb') as fp: fp.write(zlib.compress(pickle.dumps(myVar)))

%cache <variable> = <expression> 

Variable: This Variable's value will be fetched from cache.

Expression: This will only be excecuted once and the result will be stored to disk.

%cache [--version <version>] [--reset] [--debug] variable [= <expression>] 

-v or --version: either a variable name or an integer. Whenever this changes, a new value is calculated (instead of returning an old value from the cache).

if version is '*' or omitted, the hashed expression is used as version, so whenever the expression changes, a new value is cached.

-r or --reset: delete the cached value for this variable. Forces recalculation, if <expression> is present

-d or --debug: additional logging

%cache

shows all variables in cache as html-table

%cache -r %cache --reset

deletes all cached values for all variables

In the directory where the kernel was started (usually where the notebook is located) in a subfolder called .cache

prepare environment:

gedit ~/.pypirc chmod 600 ~/.pypirc sudo apt install pandoc

upload changes to test and production:

pandoc -o README.rst README.md restview --pypi-strict README.rst # update version in setup.py rm -r dist python setup.py sdist twine upload dist/* -r testpypi firefox https://testpypi.python.org/pypi/cache-magic twine upload dist/*

test install from testpypi

pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple cache-magic --no-cache-dir --user

test installation

sudo pip install cache-magic --no-cache-dir --user

Install into environment with -e:

!pip install -e .

reload after each change:

import cache_magic from imp import reload reload(cache_magic)

Alternatively (if you don't want to install python, jupyter & co), you can use the docker-compose.yml for development:

cd cache-magic docker-compose up

requires the bash with latest anaconda on path

bash mkdir test && cd test conda skeleton pypi cache-magic conda config --set anaconda_upload yes conda-build cache-magic -c conda-forge

bash conda remove --name test --all conda env create -f test/environment.yml source activate test conda remove cache-magic pip uninstall cache-magic pip install -e . ./test/run_example.py

If there is any error, it will be printed to stderr and the script fails.

the output can be found in "test/temp".