use common var for ambient namespace label

Please provide a description of this PR:
add constant for istio.io/dataplane-mode namespace label
To help us figure out who should review this PR, please put an X in all the areas that this PR affects.

[ X ] Ambient
[ ] Configuration Infrastructure
[ ] Docs
[ ] Installation
[ ] Networking
[ ] Performance and Scalability
[ ] Policies and Telemetry
[ ] Security
[ ] Test and Release
[ ] User Experience
[ ] Developer Infrastructure

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@howardjohn for the lint failure, those imports in go.mod and .sum haven't changed recently - assuming there was an update to the linter tools/image?

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https://github.com/istio/tools/pull/2337#issuecomment-1403895757

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Documentation about shared library build only

Currently I'm using the make all to generate the libmdbx shared library.
I was wondering what would be the make configuration:

to build only the shared library without the other programs
containing the "most appropriate" LIBMDBX build settings (it seems that there are many options available)

Thanks for this great project.

to build only the shared library without the other programs

Ok, I'ill add lib-static and lib-shared targets.
However the make lib and make help are available now.

containing the "most appropriate" LIBMDBX build settings (it seems that there are many options available)

This is just by default.
Nonetheless, build by CMake is recommended for complex and/or non-default cases.

Ok thanks, then I'll switch to make lib  for now.


Invalid size returned for Measure Exception

This might be a different manifestation of #510
This commit will repro, please take a look at #510 the instructions to trigger the problem are the same.
https://github.com/VitalElement/AvalonStudio/commit/9de00d3be291869766188b75be3d5ebe0ff58a87

Is this still happening?

I have to pop out will see if it still happens.

@danwalmsley I'm going to close this. We can re-open if you find a repro for this.

This issue is still present https://github.com/AvaloniaUI/Avalonia/issues/8624


multivariate quad giving zero on circle area integral

I am trying to integrate the following function:

import numpy as np
import mpmath as mp
fn = lambda x, y: np.select([x**2 + y**2 <= 1, x**2 + y**2 > 1], [1, 0])

# returns zero
mp.quad(fn, [[-2.0, 2.0], [-2.0, 2.0]])

# returns zero too, breaking intervals doesn't seem to work
mp.quad(fn, [np.linspace(-2, 2, 1000).tolist(), np.linspace(-2, 2, 1000).tolist()])

#scipy gives correct result
import scipy as sc
sc.integrate.nquad(fn, [[-2.0, 2.0], [-2.0, 2.0]])
python3.9/site-packages/scipy/integrate/_quadpack_py.py:1272: IntegrationWarning: The maximum number of subdivisions (50) has been achieved.
  If increasing the limit yields no improvement it is advised to analyze
  the integrand in order to determine the difficulties.  If the position of a
  local difficulty can be determined (singularity, discontinuity) one will
  probably gain from splitting up the interval and calling the integrator
  on the subranges.  Perhaps a special-purpose integrator should be used.
  quad_r = quad(f, low, high, args=args, full_output=self.full_output,
(3.1417456236269836, 1.1812818213829956e-05)

mp.__version__
>>>1.3.0

Is this a bug or am I misusing quad?

I misusing quad?

I'm afraid, it's so.  You should pass integral limits as it documented in the quad (it has a different interface wrt the scipy's nquad()):
>>> import mpmath as mp
>>> import numpy as np
>>> fn = lambda x, y: np.select([x**2 + y**2 <= 1, x**2 + y**2 > 1], [1, 0])
>>> mp.quad(fn, [-2.0, 2.0], [-2.0, 2.0])  # though, it's inaccurate
mpf('3.1094038915109938')
>>> mp.__version__
'1.4.0a3.dev9+g0aa5006'
>>> # that's already better:
>>> mp.quad(fn, np.linspace(-2, 2, 3).tolist(), np.linspace(-2, 2, 3).tolist())
mpf('3.1339329613235982')


Handle hscan reply as an object

Pull Request check-list

[x] Does npm test pass with this change (including linting)?
[x] Is the new or changed code fully tested?
[x] Is a documentation update included (if this change modifies existing APIs, or introduces new ones)?

Description of change
Handle the results of HSCAN as an object, as node_redis does for HGETALL

I totally understand that this would be convenient for you, but this is a BC and I would like to have a more general way of handling something like this.

I wish this had gone through. It's really not cool to receive keys and values alternated in a list.


[Question] CoffeeScript integration

I don't know If I'm doing something bad, but coffeescript hook isn't working on my project.
Basically I run my test with:
nyc --require coffee-script/register mocha

and everything looks well
----------|----------|----------|----------|----------|----------------|
File      |  % Stmts | % Branch |  % Funcs |  % Lines |Uncovered Lines |
----------|----------|----------|----------|----------|----------------|
----------|----------|----------|----------|----------|----------------|
All files |      100 |      100 |      100 |      100 |                |
----------|----------|----------|----------|----------|----------------|

but nothing is written at nyc folder. any idea?

@Kikobeats by default nyc looks for the extension .js, do you need to set --extension coffee?
Let me know if this works, would be happy to add a blurb to the docs about coffeescript.

yay, now is working! https://coveralls.io/github/bumped/bumped
Effectively is necessary provide extension:
nyc --extension .coffee mocha

I don't need register the transpiler because I register it in mocha options.
Thanks!

Cannot read property 'text' of undefined
TypeError: Cannot read property 'text' of undefined
    at /root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-reports/lib/html/annotator.js:96:45
    at Array.forEach (native)
    at annotateFunctions (/root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-reports/lib/html/annotator.js:79:26)
    at Object.annotateSourceCode (/root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-reports/lib/html/annotator.js:192:9)
    at HtmlReport.onDetail (/root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-reports/lib/html/index.js:217:39)
    at LcovReport.(anonymous function) [as onDetail] (/root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-reports/lib/lcov/index.js:24:24)
    at Visitor.(anonymous function) [as onDetail] (/root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-lib-report/lib/tree.js:34:30)
    at ReportNode.Node.visit (/root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-lib-report/lib/tree.js:123:17)
    at /root/.nvm/versions/node/v6.2.2/lib/node_modules/nyc/node_modules/istanbul-lib-report/lib/tree.js:116:23
    at Array.forEach (native)

locv report error.


Exception during finetune request

Rasa Core version:
0.11.3
Python version:
3.6
Operating system (windows, osx, ...):
Ubuntu 18.04
Issue:
When sending events for model finetune I get this error:
2018-09-11 08:54:19 ERROR    rasa_core.server  - Caught an exception during prediction.
Traceback (most recent call last):
  File "/home/tymoteusz/bot/venv/lib/python3.6/site-packages/rasa_core/server.py", line 387, in continue_training
    batch_size=batch_size)
  File "/home/tymoteusz/bot/venv/lib/python3.6/site-packages/rasa_core/agent.py", line 425, in continue_training
    **kwargs)
  File "/home/tymoteusz/bot/venv/lib/python3.6/site-packages/rasa_core/policies/ensemble.py", line 192, in continue_training
    self.training_trackers.extend(trackers)
AttributeError: 'NoneType' object has no attribute 'extend'

It seems like this variable is set here https://github.com/RasaHQ/rasa_core/blob/master/rasa_core/policies/ensemble.py#L64, but this line is never executed in my setup (runing server with rasa_core.run).
Content of domain file (if used & relevant):

Thanks for raising this issue, @Ghostvv will get back to you about it soon.

Could you please give an exact command that you use, so I could reproduce the error

@Ghostvv, sure:
python -m rasa_core.run --enable_api -d models/default/dialogue -p 3010 --endpoints endpoints.yml --cors '*' -c 'rest'

but this command doesn't call continue_training

Yes, this command starts a server and I'm making POST request to /finetune endpoint with array of events.

I see, so the problem is that in this case continue_training is called without train, so ensemble doesn't have original training trackers. @tmbo could you please look into it?

Same issue when call /finetune with events array,  so what the solution is ?

Same issue when call /finetune with events array, so what the solution is ?

Don't call /finetune. :) That is what I did. It is not essential to make interactive learning useful. In the next Rasa release will be an option to disable finetune during interactive learning.

As said, there is no clear path forward yet on how to fix this. As @Ghostvv said, the model needs some information from the training that is not persisted. So it can not be finetuned without that information.
One next step should be though to fix the exception and reject the finetuning request if the model is not ready for finetuning.
The only way to get around this exception right now is to start the server with a model that has just been trained, as it is done during the online learning cli


Accept read stream for upload

At the moment Post and Put methods accept Buffer as data parameter. In order to handle upload of large files these methods should not rely on Buffer but rather passing stream to Axios. Axios will then handle the upload

closed with https://github.com/Informatiqal/qlik-rest-api/commit/e14c34509762b40b6d4c09a14f6f27b66cffe40e


Installed Auroraplus sucessfully via HACS but will not install as an integration

I have an Aurora+ account and was stoked when I found your integration however I Installed Auroraplus sucessfully via HACS but will not install as an integration in my Home assistant - error logs are below:
Logger: homeassistant.components.sensor
Source: custom_components/auroraplus/sensor.py:122
Integration: Sensor (documentation, issues)
First occurred: August 20, 2021, 11:36:23 PM (2 occurrences)
Last logged: August 20, 2021, 11:36:23 PM
auroraplus: Error on device update!
Traceback (most recent call last):
File "/usr/src/homeassistant/homeassistant/helpers/entity_platform.py", line 431, in _async_add_entity
await entity.async_device_update(warning=False)
File "/usr/src/homeassistant/homeassistant/helpers/entity.py", line 646, in async_device_update
await task
File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 52, in run
result = self.fn(*self.args, **self.kwargs)
File "/config/custom_components/auroraplus/sensor.py", line 122, in update
self._session.getsummary()
File "/usr/local/lib/python3.9/site-packages/auroraplus/init.py", line 78, in getsummary
summarydata = self.request("day")
File "/usr/local/lib/python3.9/site-packages/auroraplus/init.py", line 69, in request
request = self.session.get(self.url + '/usage/' + timespan +'?serviceAgreementID=' + self.serviceAgreementID + '&customerId=' + self.customerId + '&index=-1', headers={'Authorization': self.token})
AttributeError: 'api' object has no attribute 'serviceAgreementID'

Hi @Katabatic1970,
I had the same issue and was able to resolve it with the following install process:

install the Aurora+ integration via HACS - but don't add your Aurora+ config to configuration.yaml at this stage.

restart Home Assistant - this will allow the integration to load the new sensors and beginning pulling down the PYPi library dependency. This only takes a minute or two the first time the new integration is loaded.

Now add your Aurora+ config into configuration.yaml and restart again.

Give this a shot and see you you go...

Hi @david-holbrook,
Many thanks for the guidance, your solution has resolved all the issues identified previously in the logs, which is great.
I'm still a little stumped though. Normally after integration or custom_component is installed with HACS I'd head over to Configuration > Integrations, type the name of the new Custom Component, and follow the configuration wizard. however in this instance, this doesn't seem to be occurring. Am I missing something or is this another trick?
TIA,
Eddie

Hey mate,
It doesn't have front end configuration yet (Not all Home Assistant integration support it). You can configure Aurora+ via your configuration.yaml file (https://www.home-assistant.io/docs/configuration/) with the following:
sensor:
  - platform: auroraplus
    username<EMAIL_ADDRESS>    password: _Password_

If you already have a sensor section just add the platform, username and password under it for example:
sensor:
  - platform: time_date
    display_options:
      - 'time'
      - 'date'
      - 'time_date'

  - platform: auroraplus
    username<EMAIL_ADDRESS>    password: _Password_

Let us know how you go,
Cheers Leigh.

Hi @LeighCurran,
Well, I've added the relevant lines including my username and password to my configuration.yaml,I restarted the server, the logs indicated the auroraplus integration was starting and then......the integration fails....logs are below
Logger: homeassistant.components.sensor
Source: custom_components/auroraplus/sensor.py:120
Integration: Sensor (documentation, issues)
First occurred: 10:25:00 PM (3 occurrences)
Last logged: 10:25:02 PM
auroraplus: Error on device update!
Traceback (most recent call last):
File "/usr/src/homeassistant/homeassistant/helpers/entity_platform.py", line 431, in _async_add_entity
await entity.async_device_update(warning=False)
File "/usr/src/homeassistant/homeassistant/helpers/entity.py", line 646, in async_device_update
await task
File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 52, in run
result = self.fn(*self.args, **self.kwargs)
File "/config/custom_components/auroraplus/sensor.py", line 120, in update
self._session.getcurrent()
File "/usr/local/lib/python3.9/site-packages/auroraplus/init.py", line 111, in getcurrent
self.AmountOwed = "{:.2f}".format(premise['AmountOwed'])
TypeError: unsupported format string passed to NoneType.format
Any guidance you may have would be much appreciated
Cheers,
Eddie


Adding chart for cluster-autoscaler overprovisioning

What this PR does / why we need it:
This chart creates an easy way to overprovision a cluster.
Special notes for your reviewer:
This approach is the current recommended method to achieve overprovisioning.
Checklist
[Place an '[x]' (no spaces) in all applicable fields. Please remove unrelated fields.]

[ ] DCO signed
[ ] Chart Version bumped
[ ] Variables are documented in the README.md

/assign @foxish


when run ./compile.sh ,error :there is no setup.py

there have not setup.py  in mmdet/ops/roi_align     thx

Sorry for the inconvenience, we have replaced the compile process with precompiled files.
Git pull and have another try?


[5.3] [CS] Avoid checking RHS of one-way constraint for reactivation

5.3 cherry-pick of https://github.com/apple/swift/pull/32673.

Explanation: Fixes a compiler crash that can potentially occur when using a function builder.

Scope: Fixes a 5.3 regression with function builders.

Radar: rdar://64890308

Risk: Medium-low: The fix modifies constraint re-activation, but is isolated to one-way constraints that haven't split the constraint system, and will cause us to re-activate strictly more constraints.

Testing: Added unit test.

Reviewer: @xedin

@swift-ci please test

@swift-ci please test source compatibility

Build failed
Swift Test OS X Platform
Git Sha - 0c4303fefbeb847ac10553e926bbceff9e32111c

@swift-ci please test macOS

@swift-ci please test source compatibility Debug


Cant get depth supervision to work

Hi @ashawkey,
I'm trying to get the depth supervision to work, but so far its only making perfomance worse for me. I'm wondering why the depth is not normalized with the weights_sum? Because depth is calculated as weighted sum timestep_i * weight_i, shouldn't it be divided with weights_sum, since we can't be sure that weights_sum is 1?

did you manage to make it work ?


internal: util package to parse and verify AZTEC ignition ceremony

To discuss, added it in gnark/internal for convenience, but maybe we should put that in a separate independent repo.
Advantage of putting it here; the next step, having an API to pull a trusted setup from a web location would be more "discoverable" by gnark users. Such a "trusted setup" would be usable for example for PlonK circuits using bn254.
// Package ignition is a package that provides helper functions to download, parse
 // and validate the AZTEC Ignition Ceremony data.
 // The specs are described here:
 //
 //	https://github.com/AztecProtocol/ignition-verification/blob/c333ec4775045139f86732abfbbd65728404ab7f/Transcript_spec.md
 //
 // The verification logic follows
 //
 //	https://github.com/AztecProtocol/ignition-verification

mmhh maybe a separate repo + pointing to this in gnark-crypto kzg package to be able to build kzg.ProvingKey & kzg.VerifyingKey from this package if needed would make more sense.
wdyt @ThomasPiellard / @Tabaie ?

I'd personally rather stay away from network calls in gnark-crypto.


Build failed when merging #33

Build failed when merging

https://github.com/DZRJL/katasterjam-mobile/pull/33

Did you forget to commit package.json?
See job:

https://github.com/DZRJL/katasterjam-mobile/actions/runs/4686364667/jobs/8304369632

It can't find dexie lib

I did :( installed it, then did undo because of some testing ... then forgot to add it again. but it stayed in modules locally ofc ...


alsa: Add asound.state

Commit adds separate asound.state for KF and 'other' boards.
This product supports KF only for now, but I decided to
keep the general structure of files to keep following
maintenance easier.
Signed-off-by: Ruslan Shymkevych<EMAIL_ADDRESS>

@iusyk could you please review it?

Reworked and tested by build for h3ulcb-4x2g-kf.

Postponed. Will be reopen in case of need.


Integrate the Abi-Wan library

First some typechain (type generating tool) needs to be implemented, then we'd see how it can be integrated into plugin.

https://github.com/keep-starknet-strange/abi-wan-kanabi will be the way to go!

will be exposed through starknet.js


Update javascript.md

Update docs for V2 of SDK
https://github.com/microsoft/applicationinsights-JS

@markwolff : Thanks for your contribution! The author, @mrbullwinkle, has been notified to review your proposed change.

#sign-off

@mrbullwinkle - Would you confirm one change:
-- Line 94: Confirm the use of a semi-colon after "boolean". Similar statements end with a comma.
Thank you

@markwolff : Thanks for your contribution! The author, @mrbullwinkle, has been notified to review your proposed change.

Thanks for pointing this out @GitHubber17. I've corrected it

@markwolff - Thank you!

@GitHubber17 thank you as always for the thorough review, and for catching that!


React: create NavBar to handle Login/SignUp and various features

[x] create a NavBar
[x] show login / logout and or Sign Up
[ ] (optional) show profile picture
[x] (optional) show Time
[ ] (optional) Greet / Welcome you User when login

Require more attention to login/ signin --> logout

[ ]Consider a new issue later for better protection to route

Additional:

[ ] Warn user if the login credential or login service has failed
[ ]  those tester who hasn't got username and address should give them some username and address
[ ] (optional) give a strength password test in the Sign Up page

[ ] Connect Database and add new user
[ ] Connect Database and update user (optional)