Barrie Treloar

fix: docker build failures

2

#### Short description of what this resolves: Docker builds fail as per arquillian/arquillian.github.io#446 #### Changes proposed in this pull request: Remove workaround for rvm/issues/4068 as this issue was fixed in...

Running docker build -t arquillian/blog . fails

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##### Issue Overview Building the website via docker on windows fails. ##### Current Behaviour ##### Steps To Reproduce Forked repo, cloned locally, ran the docker command as per README ```...

First alpha of the evaluation classes. Need to run this against more of my test data to see if it is complete, and probably need to write the Comparison classes...

[DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues

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Node is issues the warnings listed below. These are cause by https://github.com/mscdex/node-ftp/blob/master/lib/connection.js#L53 See https://medium.com/@jasnell/node-js-buffer-api-changes-3c21f1048f97 for more information. ``` (node:19124) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues....

doc(README): document special character handling

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fixes #5

Use melpa stable first and auto-install dash

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For people forking your files it doesn't work "out of the box" because you have stuff already installed. So first-timers run into more problems than needed.

fix(app-router): include error stack trace in logger

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closes aurelia/framework#926

Fix inline views when template uses unescaped variables

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I'm trying to see if its possible to write a test for the case where the template literal variable is unescaped. The decorator should get the exception and be able...

Remove $(npm bin) as ./node_modules/.bin is on the path.

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It also fixes running this on windows as $() inside npm scripts spawns a command shell and not a bash shell so it fails the expansion.

https://nem-reader.readthedocs.io/en/latest/quickstart.html hourly = df.groupby([(df.index.hour)]).sum() TypeError: datetime64 type does not support sum operations Workaround: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sum.html hourly = df.groupby([(df.index.hour)]).sum(numeric_only=True) I'm clueless about dataframes and pandas, so hopefully that is the right answer.