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cache-magic-1.0.4
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مشاهده بیشترتوضیحات
Versatile cache line magic for jupyter notebooks, based on https://pypi.org/project/ipython-cache/
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cache-magic-1.0.4 |
| نام | cache-magic |
| نسخه کتابخانه | 1.0.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Chris Piatt |
| ایمیل نویسنده | chris@pyython.com |
| آدرس صفحه اصلی | https://github.com/pyython/cache-magic |
| آدرس اینترنتی | https://pypi.org/project/cache-magic/ |
| مجوز | BSD-3-Clause |
cache-magic
===========
This package adds ``%cache`` line-magic to Jupyter notebooks.
Warning!!!
----------
The author of this Python package makes no commitment to maintain it. It
was forked from `this
project <https://github.com/SmartDataInnovationLab/ipython-cache>`__ 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 <https://github.com/pyython/cache-magic/blob/master/LICENSE>`__
for your convenience).
Quickstart
----------
- 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:
.. code:: python
!pip install cache-magic
import cache_magic
%cache a = 1+1
%cache
installation
============
install directly from notebook
------------------------------
1. open jupyter notebook
2. create new cell
3. enter ``!pip install cache-magic``
4. execute
install into conda-environment
------------------------------
.. code:: bash
conda create -n test
source activate test
conda install -c pyython cache-magic
jupyter notebook
usage
=====
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``
example
-------
::
%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):
.. code:: python
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)))
general form
------------
::
%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.
full form
---------
::
%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
show cache
----------
.. code:: python
%cache
shows all variables in cache as html-table
full reset
----------
.. code:: python
%cache -r
%cache --reset
deletes all cached values for all variables
where is the cache stored?
--------------------------
In the directory where the kernel was started (usually where the
notebook is located) in a subfolder called ``.cache``
developer Notes
===============
push to pypi
------------
prepare environment:
.. code:: bash
gedit ~/.pypirc
chmod 600 ~/.pypirc
sudo apt install pandoc
upload changes to test and production:
.. code:: bash
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
.. code:: bash
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple cache-magic --no-cache-dir --user
test installation
.. code:: bash
sudo pip install cache-magic --no-cache-dir --user
editable import
---------------
Install into environment with ``-e``:
.. code:: python
!pip install -e .
reload after each change:
.. code:: bash
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:
.. code:: bash
cd cache-magic
docker-compose up
create Conda Packet
-------------------
requires the bash with latest anaconda on path
.. code:: bash
bash
mkdir test && cd test
conda skeleton pypi cache-magic
conda config --set anaconda_upload yes
conda-build cache-magic -c conda-forge
running tests
-------------
.. code:: bash
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”.
نحوه نصب
نصب پکیج whl cache-magic-1.0.4:
pip install cache-magic-1.0.4.whl
نصب پکیج tar.gz cache-magic-1.0.4:
pip install cache-magic-1.0.4.tar.gz