Google has started using BERT in its search engine. I imagine it creates embeddings for the query on the search engine, and then find a kind of similarity measure with the potential candidate websites/pages, finally ranking them in search results.

I am curious how do they create embeddings for the documents (the potential candidate websites/pages) if any? Or am I interpreting it wrong?

I think that It would be a very valuable addition if each configuration option described in the docs were given examples, as it is done in RuboCop (Ruby), for example: https://www.rubydoc.info/gems/rubocop/RuboCop/Cop/Lint/UnusedMethodArgument

"scipy.misc.imsave" was removed in scipy version 1.3
--> pip install scipy==1.2.1

https://docs.scipy.org/doc/scipy/reference/release.1.3.0.html#scipy-interpolate-changes

and functions from scipy.misc (bytescale, fromimage, imfilter, imread, imresize, imrotate, imsave, imshow, toimage) have been removed.

The authentication section describes service-to-service auth:

Service <--> Service - In this model, your application talks directly to Google APIs using a Service Account. It's useful when you have a backend application that will talk directly to Google APIs from the backend.

The "Learn more" link goes to https://github.com/googleapis/google-api-nodejs-client#service-to-service-authenticat

I made up a guide to setup Firebase services into a real-world scenario with cutting-edge technologies. I think you could get some insights on DX of your services and how they are used out in the wild (or add it to this examples repository).
Tech used: Quasar (Vue), TypeScript, Jest (unit testing), Firebase Firestore, Cloud Functions, RxFire.

Inside the guide there are some helpers and code ma

I understand that these two python files show two different methods to construct a model. The original n_epoch is 500 which works perfect for both python files. But if I change n_epoch to 20, only tutorial_mnist_mlp_static.py can achieve a high test accuracy (~0.97). The other file tutorial_mnist_mlp_static_2.py only get 0.47.

The models built from these two files looks the same for me (the s

Describe the bug 🐛

• Setting the zoom level to floating point numbers doesn't work, the onChange is simply fired again parsing the float into an int.
• eg: setting zoom level to 11.2 will trigger an onChange with 11

To Reproduce 🔍

Steps to reproduce the behavior:

1. set zoom level to 11.2
2. notice how the onChange is fired, overriding the 11.2 with 11

**Expected behav

Some basic rewording might go a long way toward making it more obvious when developers should use which async class.
For example the current documentation makes it seem like Debouncer and Delay are the same thing.

Bug, feature or question?

Request for docs update

Version and provider

3.x

Reproduction

Previously I used \Hybrid_Endpoint::process() in the method that is calling when user authenticates. Now I haven't such method in v3 and any info about this in upgrade manuals.

The e2e test for minScale currently checks the target scale by checking spec.scale of the deployment. Which is while a required condition, but it's not enough — we also need to verify that before the revision is marked ready the number of ready endpoints is also at least N.

In what area(s)?

/area autoscale
/area test-and-release
/kind good-first-issue

/cc @markusthoemmes @tanzeeb

In the documentation for the Mobileclient.get_promoted_songs() method, the docs say that the method determining the songs returned is unknown. When I run this method my liked/thumbs up auto-playlist is returned. Not sure if that is the case for anyone else.

Hello,

The whole Citymapper app works pretty well. The only issue is when viewing the map. Some elements are obviously glitching, but most importantly, some elements are missing. Here, for example, is a map to view near bike stations, with the Google Play Services, the number of bikes is shown, where with microG, it isn't.

With Google Play Services :
![screenshot_20180905-220937](https://u

@alexeagle mentioned that the TS style guide has lots of documentation, but it doesn't seem like any of that is available here.
The most common issue we run into is type coercion. Apparently this is what the docs for that should say:
TypeScript code may use the String() and Boolean() (note: no new!) functions, string template literals, or !! to coerce types.

const bool = Boole

Google suggests enabling gzip compression before transferring files over the network:

In order to receive a gzip-encoded response you must do two things: Set an Accept-Encoding header, and modify your user agent to contain the string gzip. Here is an example of properly formed HTTP headers for enabling gzip compression:

Acc

Is your feature request related to a problem? Please describe.
I have a feeling that apart of OT Core developers, it is hard for OT users to know how and which switches to set in the building process. It is also confirmed by the number of support questions we receive.

Describe the solution you'd like
Creating the README.md file inside openthread/examples directory, that would desc

Describe the bug
Text cut in the last line in no tags available message.

Context
Galaxy Nexus API 24

How to reproduce
Steps to reproduce the behavior:

1. Have no Tags.
2. Click on the Tags icon

Expected behavior
Text should not cut at the end.

Screenshots
If applicable, add screenshots to help explain your problem.
<img src="https://user-images.githubusercon

Was partially working in: googlemaps/google-maps-services-js@e1c1392

• add typedoc
• export docs as part of ci