cbcunc

import os.path
from genquery import Query, AS_DICT

def testFunc(rule_args, callback, rei):
    callback.writeLine("serverLog", "Entering testFunc")
    x = rule_args[0]
    y = rule_args[1]
    callback.writeLine("serverLog", "x = [{}]".format(x))
    callback.writeLine("serverLog", "y = [{}]".format(y))
    rule_args[1] = "This is new!"

cbcunc

class Outer(object):
    """
    >>> Outer.class_attr
    'ca0'
    >>> outer = Outer("ia0", "ia1", "ia2")
    >>> outer.inst_attr
    'ia0'
    >>> outer.inner
    <__main__.Outer.Inner object at 0x...>
    >>> outer.inner.class_attr

cbcunc

metadata:
spec:
  restartPolicy: Never
  volumes:
    - flexVolume:
        driver: informaticslab/pysssix-flex-volume
        options:
          readonly: "true"
      name: s3
  containers:

cbcunc

I found that that MATLAB has JDBC drivers just for SQLite. These drivers do not expect a client/server database. They work fine with the flat database file SQLite produces.

There are also MEX clients for SQLite. These client would be more difficult to include in a standalone compiled MATLAB program than a JAR file. So I will concentrate on how to use the JDBC drivers.

First things to do is to get that special JDBC driver for SQLite for your platform. There are many different drivers for this purpose.

cbcunc

cbcunc

cbcunc

conda create -c conda-forge -n rsmbund jupyter
source activate rsmbund
conda install -y -c conda-forge/label/rc -c conda-forge h5py
conda install -y -c conda-forge/label/rc -c conda-forge libpng
conda install -y -c conda-forge/label/rc -c conda-forge matplotlib
conda install -c conda-forge/label/rc -c conda-forge ipywidgets
conda install -y -c conda-forge/label/rc -c conda-forge basemap
conda install -y -c conda-forge/label/rc -c conda-forge basemap-data-hires
conda install -y -c conda-forge/label/rc -c conda-forge owslib
pip install ipympl

cbcunc

conda create -c conda-forge -n rsmbund jupyter
source activate rsmbund
conda install -y -c conda-forge/label/rc -c conda-forge h5py
conda install -y -c conda-forge/label/rc -c conda-forge libpng
conda install -y -c conda-forge/label/rc -c conda-forge matplotlib
conda install -c conda-forge/label/rc -c conda-forge ipywidgets
conda install -y -c conda-forge/label/rc -c conda-forge basemap
conda install -y -c conda-forge/label/rc -c conda-forge basemap-data-hires
conda install -y -c conda-forge/label/rc -c conda-forge owslib
pip install ipympl

cbcunc

> jupyter kernelgateway

edit kernel name in index.ipynb of bundle with the output of :

> jupyter kernelspec list

run server and gateway in same env and same dir as unzipped bundle

> jupyter —help # for commands

cbcunc

name: rsmdash
channels: !!python/tuple
- defaults
dependencies:
- conda-forge/label/rc::matplotlib=2.0.0rc1=np111py35_1
- conda-forge::backports.shutil_get_terminal_size=1.0.0=py35_0
- conda-forge::basemap=1.0.8.dev0=np111py35_3
- conda-forge::basemap-data-hires=1.0.8.dev0=2
- conda-forge::ca-certificates=2016.9.26=0
- conda-forge::cairo=1.14.6=0