In the section Usage > CLI, the following command:

$ svgo *.svg

This command appears no longer works. I thought it was a Windows issue as I was getting a "no such file" error as it was the first command I tried with the module!

The function Realm.applyEffects has an appendGenerator argument, which seems to indicate whether it is safe to modify the current generator. It is clearly unsafe to do so when it is anticipated that the applied effects might later have to be undone. Of the 37 invocations of this function, one explicitly unsets the flag, and three explicitly set it. PR #2185 relies on this interpretation of the

  /Users/travis/build/ray-project/ray/python/ray/node.py:533: DeprecationWarning: Redis.hmset() is deprecated. Use Redis.hset() instead.
    redis_client.hmset("webui", {"url": self._webui_url})
  /Users/travis/build/ray-project/ray/python/ray/worker.py:358: DeprecationWarning: Redis.hmset() is deprecated. Use Redis.hset() instead.
    "run_on_other_drivers": str(run_on_other_drivers),
  

The following code:

let x = /\u{ffff}/u;

would yield:

WARNING - [JSC_MALFORMED_REGEXP] Malformed Regular Expression: {ffff}

from closure compiler, but it's a valid regular expression, see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions/Character_Classes

$ imagemin --plugin.webp.quality=95 --plugin.webp.preset=icon foo.png > foo-icon.webp

This example specified in the docs doesn't seem to work.

It produces the following error:

Unknown plugin: [object Object]

Did you forget to install the plugin?
You can install it with:

  $ npm install -g imagemin-[object Object]

Would be great to have a better documentation for the minify method.

Usually, we can find the method signature with parameters and return details.
Here, I don't find any API description of this method in the README.

I had an error when doing minify(path.resolve(__dirname, 'assets/css/blabla.css')); because until now i was using an array of paths. Looks like it is not working with a sing

Right now the process isn't documented and is done by calling different classes in the project. Make a gradle task and document it a bit to make it easier for people to update it themselves.

Related discussion: CalebFenton/simplify#57

Artemis Framework link in http://gameprogrammingpatterns.com/data-locality.html appears to point to a fake SEO heavy website instead of what I would imagine was the original. The website now contains no source links.

There are various clones of it, but I believe this might be the original source repo possibly,
https://code.google.com/archive/p/artemis-framework/

I tried running the .ipynb associated with the Entropy Maximization example at cvxpy website. The notebook uses CVXOPT as the solver. When I run the same notebook, I am getting the error that ends with the message:

SolverError: Either candidate conic solvers (['CVXOPT']) do not suppo

It would be nice to quickly switch builds with arrow keys or a similarly simple shortcut key. Maybe A/D (of WASD) instead or in addition?

https://developer.mozilla.org/en-US/docs/Web/CSS/Using_CSS_custom_properties#Custom_property_fallback_values

.three {
  background-color: var(--my-var, var(--my-background, pink));
--border-color: linear-gradient(to top, var(--secondary-color), var(--used-color, white));
}

Creating a feature request

Is your feature request related to a problem? Please describe:

I've issued a let's encrypt certificate with alternate names and would love to use it with lighttpd and dedicated domains.

Describe the solution you'd like:

For instance according to the nextcloud hardening guide https://docs.nextcloud.com/server/18/admin_manual/installation/harden_serve

The docstring in the gaussian_ei acquisition function mentions

Note that the value returned by this function should be maximized to
obtain the X with maximum improvement.

However, in the Optimizer class, we see that the next x is determined by the following code for the 'sampling' acquisition optimizer.
` values = _gaussian_acquisition(
X=X, model=est, y_op

Launch webdnn caffenet example fail, following this README

Env:
MacBook 10.13.2
Chrome 63.0.3239.132
WebDNN 1.1.0

Issues:

1. Miss graph_webgl_4096.json package.
2. Default Image URL ../../resources/imagenet/ILSVRC2012_val_00000003.JPEG not exist

Error page as below:

<img width="1201" alt="screen shot 20

When profiling openalpr, the profile.coz file (named profile.txt in the attachment to keep github editor happy) show that a lot of time is spent in locations in /usr/include/c++/4.9/bits/stl_vector.h and /usr/include/opencv2/core/mat.hpp (matrix operations). This is not really helpful without knowing from where the STL vector or the matrix operation is used. Perhaps Coz should be adjusted to col

Currently, EE_PROXY_TYPE is a constant, which is the container id of the global nginx-proxy container. It is computed every time during the initialization of an command as it is present in the runner.

The command executed for it is time consuming and also required by only a handful of commands, hence it should not be in the runner. Instead it can be replaced by a utility function which comp

When generating a call graph, SPARK has to handle many special cases for concurrency helper classes like java.lang.Thread or android.os.AsyncTask. These classes usually have control flow properties hidden to the call graph analysis, e.g., the Thread's Thread.run method will be invoked asynchronously after calling Thread.start or AsyncTask.onPostExecute will be executed after `AsyncT

In the examples like tensorflow_mnist or scikit_learn in advisor_client, the config file has the goal MINIMIZE. In the scripts the metric used is accuracy. Am I missing something? Shouldn't the goal be maximize?