The page you’re looking for could not be found

Hello
Thank you for your efforts, a friend of mine is using your code smoothly buy I don't know why it's not working for me.
after setting up everything I get an error when I try to install it , it shows :
" The page you’re looking for could not be found
Please make sure the web address is correct."
I checked the param values and re-checked them for 3 days now and no success.
In the console it says :
[0] info: Checking for valid session: undefined
[0] info: Authenticating shop undefined
[0] GET /api/products 302 16.090 ms - 55
another thing is that react is listening to port 3001:
-------------------------- [0] ===> 😊  Starting Server . . . [0] ===>  Environment: development [0] ===>  Listening on port: 3001 [0] -------------------------- [0] Listening on port 3001
So I made Ngrok pointing to 3001 too
Any help please ?
Thank you!

Hey @protonhs,
How are you trying to install the app? Are you going through the Shopify App Store temp listing?
It seems that there's no shop in the request. Also, can you paste the entire log here and the exact steps you did?

Thank you @airmiha
I have followed the steps successfully till Step 4 where I had to run the project, and I saw that react is listening to 3001, so I came back and relaunched NGRok to point to 3001 and updated the adress in index.js and in the app settings.
Then I re-run the project.
Surprisingly today it's showing a bigger problem:
MACs-MacBook-Pro-2:create-shopify-app-master mac$ npm run start:dev

<EMAIL_ADDRESS>start:dev /Users/mac/Downloads/create-shopify-app-master
concurrently "npm run server:dev" "cd react-ui/ && npm start"

[0]
[0] ><EMAIL_ADDRESS>server:dev /Users/mac/Downloads/create-shopify-app-master
[0] > cross-env NODE_ENV=development nodemon
[0]
[1]
[1] ><EMAIL_ADDRESS>start /Users/mac/Downloads/create-shopify-app-master/react-ui
[1] > react-scripts start
[1]
[0] [nodemon] 1.11.0
[0] [nodemon] to restart at any time, enter rs
[0] [nodemon] watching: /Users/mac/Downloads/create-shopify-app-master/server/**/* webpack.config.js .env
[0] [nodemon] starting npm run build:dev && node compiled/server.dev.js
[0]
[0] ><EMAIL_ADDRESS>build:dev /Users/mac/Downloads/create-shopify-app-master
[0] > cross-env NODE_ENV=development npm run webpack
[0]
[0]
[0] ><EMAIL_ADDRESS>webpack /Users/mac/Downloads/create-shopify-app-master
[0] > webpack --colors --display-error-details --config ./webpack.config.js
[0]
[1] [HPM] Proxy created: function (pathname) {
[1]         return mayProxy(pathname) && pathname.match(context);
[1]       }  ->  http://localhost:3001
[1] Starting the development server...
[1]
[0] Hash: 43e424871a67a3cc3707
[0] Version: webpack 3.11.0
[0] Time: 1545ms
[0]             Asset     Size  Chunks             Chunk Names
[0]     server.dev.js  27.4 kB       0  [emitted]  server
[0] server.dev.js.map  39.5 kB       0  [emitted]  server
[0]    [0] ./server/config/index.js 1.09 kB {0} [built]
[0]    [4] ./server/db/index.js 621 bytes {0} [built]
[0]    [5] ./server/db/models/index.js 1.13 kB {0} [built]
[0]    [6] ./server/server.js 1.69 kB {0} [built]
[0]    [8] ./server/app.js 5.01 kB {0} [built]
[0]   [19] ./server/db/connect.js 572 bytes {0} [built]
[0]   [21] ./server/db/sequelize_config.json 463 bytes {0} [built]
[0]   [22] ./server/db/models/shop.js 462 bytes {0} [built]
[0]   [23] ./server/db/session.js 835 bytes {0} [built]
[0]   [25] ./server/routes/shopify.js 10 kB {0} [built]
[0]     + 21 hidden modules
[0] Fri, 20 Apr 2018 07:27:06 GMT sequelize deprecated String based operators are now deprecated. Please use Symbol based operators for better security, read more at http://docs.sequelizejs.com/manual/tutorial/querying.html#operators at node_modules/sequelize/lib/sequelize.js:242:13
[0] --------------------------
[0] ===> 😊  Starting Server . . .
[0] ===>  Environment: development
[0] ===>  Listening on port: 3001
[0] --------------------------
[0] Listening on port 3001
[0] Executing (default): SELECT 1+1 AS result
[0] info: Connection has been established successfully.
[1] Compiled successfully!
[1]
[1] You can now view client in the browser.
[1]
[1]   Local:            http://localhost:3000/
[1]   On Your Network:  http://<IP_ADDRESS>:3000/
[1]
[1] Note that the development build is not optimized.
[1] To create a production build, use npm run build.
[1]
[0] info: Checking for valid session: undefined
[0] error:  TypeError: Cannot read property 'shopify' of undefined
[0]     at authMiddleware (/Users/mac/Downloads/create-shopify-app-master/compiled/webpack:/server/routes/shopify.js:226:10)
[0]     at Layer.handle [as handle_request] (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/layer.js:95:5)
[0]     at trim_prefix (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:317:13)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:284:7
[0]     at Function.process_params (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:335:12)
[0]     at next (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:275:10)
[0]     at Function.handle (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:174:3)
[0]     at router (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:47:12)
[0]     at Layer.handle [as handle_request] (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/layer.js:95:5)
[0]     at trim_prefix (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:317:13)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:284:7
[0]     at Function.process_params (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:335:12)
[0]     at next (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:275:10)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express-flash/lib/express-flash.js:31:7
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/connect-flash/lib/flash.js:21:5
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express-flash/lib/express-flash.js:22:5
[0]     at Layer.handle [as handle_request] (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/layer.js:95:5)
[0]     at trim_prefix (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:317:13)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:284:7
[0]     at Function.process_params (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:335:12)
[0]     at next (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:275:10)
[0]     at session (/Users/mac/Downloads/create-shopify-app-master/node_modules/express-session/index.js:189:7)
[0] GET /api/products 500 14.113 ms - 2919
[0] Error: req.flash() requires sessions
[0]     at Error (native)
[0]     at IncomingMessage._flash [as flash] (/Users/mac/Downloads/create-shopify-app-master/node_modules/connect-flash/lib/flash.js:60:41)
[0]     at ServerResponse.res.render (/Users/mac/Downloads/create-shopify-app-master/node_modules/express-flash/lib/express-flash.js:28:35)
[0]     at /Users/mac/Downloads/create-shopify-app-master/compiled/webpack:/server/app.js:129:7
[0]     at Layer.handle_error (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/layer.js:71:5)
[0]     at trim_prefix (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:315:13)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:284:7
[0]     at Function.process_params (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:335:12)
[0]     at next (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:275:10)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:635:15
[0]     at next (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:260:14)
[0]     at Layer.handle [as handle_request] (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/layer.js:97:5)
[0]     at trim_prefix (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:317:13)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:284:7
[0]     at Function.process_params (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:335:12)
[0]     at next (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:275:10)
[0]     at Function.handle (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:174:3)
[0]     at router (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:47:12)
[0]     at Layer.handle [as handle_request] (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/layer.js:95:5)
[0]     at trim_prefix (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:317:13)
[0]     at /Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:284:7
[0]     at Function.process_params (/Users/mac/Downloads/create-shopify-app-master/node_modules/express/lib/router/index.js:335:12)

Before we go any further, can you make sure you have a Redis server running in the background?
Try redis-server

Thank you @airmiha for replying! It's nice of you!
redis-server did solve this morning's problem, but unfortunately, I  still find myself in front of : The page you’re looking for could not be found
I uninstalled the app and reinstalled it following the instructions, it gets installed successfully, but then the error comes.
Here are the logs of the installation :
Ngrok  -
HTTP Requests
GET /activate_charge           302 Found
GET /auth/callback             200 OK
GET /home                      200 OK
Npm :
[0] Executing (66f4d94c-c696-442b-ab83-9a25e88896b4): SELECT "id", "domain", "chargeId", "createdAt", "updatedAt" FROM "Shops" AS "Shop" WHERE "Shop"."domain" = 'apptestingstor.myshopify.com';
(long message here)
[0] Executing (66f4d94c-c696-442b-ab83-9a25e88896b4): COMMIT;
[0] GET /auth/callback?code=b1f87c382f2527051f4e936f3dc436cc&hmac=965d409e2ec37232ef98a0d59ee670bf0523d04604dc1e2b3a5fd0d559c8485d&shop=apptestingstor.myshopify.com&state=72596842cd6fb8844d451375f86d97eb&timestamp=1524232861 200 2958.643 ms - 930
[0] info: Checking for valid session: undefined
[0] GET /activate_charge?charge_id=1195081791 302 2120.009 ms - 152
Any chance I can make it work ?
Thank you!

I tried accessing http://8f8fbcb5.ngrok.io/?shop=apptestingstor.myshopify.com but it gave error : Error: ENOENT: no such file or directory, open 'react-ui/build/index.html'

We'll make it work :).

How are you trying to install the app? Are you going through the Shopify App Store temp listing?
Check out the first 6 comments in this thread:

https://github.com/airmiha/create-shopify-app/issues/6
Can you confirm that you have all of those things that we mentioned properly set up?

Thank you! it's working now!


Fixing issue #515 - rotate example text

Fixes #515
Changes:
fixed wrong text in the example where it said scale instead of rotate.
Screenshots of the change:

awesome, thanks @digitalcoleman !


[Event Hubs] created EventHubConnectionStringProperties and connection string parser

addressing: #14575
following the SB Connection String parser: #14574

/azp run python - eventhubs - tests

/azp run python - eventhubs - tests

/azp run python - eventhub - tests

/azp run python - eventhub - tests

/azp run python - eventhub - tests

/azp run python - eventhub - tests

@annatisch  nope! It's just supplementary, to "assist with transforming a connection string for use with credential-based client creation".

@annatisch  nope! It's just supplementary, to "assist with transforming a connection string for use with credential-based client creation".

/azp run python - eventhub - tests

/azp run python - eventhub - tests


EffectLayer: Fix material for rendering not applied after resizing

See https://forum.babylonjs.com/t/setmaterialforrendering-ignored-after-window-resize/27726

They are fine, I have just finished playing God Of War (PC - liked it very much) :)


Debugging with GDB on Windows Host

I'm attempting to debug a remote target with a gdb stub from Windows. I've been able to use Cygwin's gdb to accomplish this on its own (within a Cygwin terminal), and have no issues using it directly this way, but wanted to see if I could get Ghidra's interface up. I keep getting:
ghidra.dbg.error.DebuggerModelTerminatingException: Error while starting GDB: Could not detect GDB's interpreter mode.
Try C:\cygwin64\bin\bash.exe -i mi2

The GDB launch command is: C:\\cygwin64\\bin\\bash.exe --login -c '/usr/bin/gdb', which I've verified launches GDB as expected in a Windows cmd shell, and I'm able to connect to the GDB stub and debug as expected. I've tried adding the -i mi2 option, but it doesn't seem to change anything or present any useful information. The version of GDB that I'm using in Cygwin is 9.2-1, and I'm on using Ghidra 10.3.3 on Windows 10 Pro. Are there any other recommended troubleshooting steps I can take here?

@bdemick Hey, this is a bit of a guess, but try C:\\cygwin64\\bin\\bash.exe --login -i -c '/usr/bin/gdb'.  I'm not sure what actually happens if gdb is not run interactively.

Apologies - left off a bit.  Try C:\\cygwin64\\bin\\bash.exe --login -i -c '/usr/bin/gdb -i mi2'.

Looking at this a little more, I don't think you're going to be happy with the behavior mediated by the bash shell.  I can run a target, but basically only the Objects control pane and the Interpreter are working.  I believe this is because stdout/stderr are not being routed from gdb through the bash shell to Ghidra, although I'll need to do some more work to verify this.  The better approach, I think (haven't tried it yet) is to run gdbserver from a separate bash shell and connect to it from Ghidra using "gdb via SSH".

sigh - nope, that's not going to work either

My target is VMWare Workstation's GDB stub, so I don't have a lot of control over the target in this case, unfortunately.

Hmmm.  Yes, you're definitely operating in a tricky environment.  Even if we get you past the bash/gdb issues, the gdbstub in VMWare provides you with a very limited perspective on the target.  For example, assuming you're running a full OS in VMWare, the thread list provided by gdb will actually be a processor list, and module/memory info are basically right out.
We have nascent support for this using Volatility-over-gdb, but it hasn't been released, except in beta form as an extension using our basically-untested traceRMI features.  Is your target OS Windows by any chance?

Not Windows. Looks like this isn't a viable option for me at the moment, but it was really just a potential nice-to-have option if it worked. Appreciate all the troubleshooting!


java.util.concurrent.TimeoutException

We are seeing bursts of this exception in production for various memcache operations. Stack traces look similar to this:
java.util.concurrent.TimeoutException: Timed out(5000 milliseconds) waiting for operation while connected to <IP_ADDRESS>:11211
    at net.rubyeye.xmemcached.XMemcachedClient.latchWait(XMemcachedClient.java:2536)
    at net.rubyeye.xmemcached.XMemcachedClient.sendStoreCommand(XMemcachedClient.java:2498)
    at net.rubyeye.xmemcached.XMemcachedClient.set(XMemcachedClient.java:1338)
    at net.rubyeye.xmemcached.XMemcachedClient.set(XMemcachedClient.java:1408)

We could not 100% pin point what is causing it but one of the suspects is how XMemcached handles server responses.
One situation that can be reproduced in a standalone java project is how XMemcached client handles server responses for values greater than 1M (> default max size in memcache).
In the code below our expectation is to get MemcachedServerException with message "object too large for cache" for "set" operation but instead we are getting java.util.concurrent.TimeoutException
It is worth noting that spymemcached client used in the same code does handle server response properly and returns "SERVER_ERROR object too large for cache"
import net.rubyeye.xmemcached.MemcachedClient;
import net.rubyeye.xmemcached.XMemcachedClientBuilder;
import net.rubyeye.xmemcached.transcoders.SerializingTranscoder;
import net.rubyeye.xmemcached.utils.AddrUtil;

import java.io.IOException;
import java.util.Arrays;

public class LargeObjectsWithXMemcachedClient {

    private static final String KEY_LARGE_OBJECT = "largeObject";

    public static void main(String[] args) throws IOException {
        int megabyte_plus1 = 1048577; //1024 * 1024 + 1

        System.out.println("Building xmemcached client");

        XMemcachedClientBuilder builder = new XMemcachedClientBuilder(AddrUtil.getAddresses("localhost:11211"));
        MemcachedClient client = builder.build();

        // making sure that payload does not get compressed and client does not throw exception on max size limit
        // so that large value gets sent to memcached server. We expect xmemcached client to
        // throw MemcachedServerException with message "object too large for cache"
        SerializingTranscoder transcoder = new SerializingTranscoder(megabyte_plus1 * 2); // something bigger than memcached daemon max value size.
        transcoder.setCompressionThreshold(transcoder.getMaxSize()); // bumping up compression threshold so that xmemcached client does not compress.

        try {
            String largeObject = createString(megabyte_plus1);

            System.out.println("set " + KEY_LARGE_OBJECT);
            client.set(KEY_LARGE_OBJECT, 60, largeObject, transcoder);

            String readLargeObject = client.get(KEY_LARGE_OBJECT);
            System.out.println("get " + KEY_LARGE_OBJECT + ": " + (readLargeObject == null ? "does not exist in cache" : "size() = " + readLargeObject.length()));

            System.out.println("done");
        } catch (Exception exception) {
          exception.printStackTrace();
        } finally {
            System.out.println("shutting down memcached client");
            client.shutdown();
        }
    }

    private static String createString(int size) {
        char[] chars = new char[size];
        Arrays.fill(chars, 'f');
        return new String(chars);
    }
}

Hi, i am sorry so late to look into this issue.
But i can't reproduce by above code LargeObjectsWithXMemcachedClient with xmemcached 2.1.0(the latest version).It throws the correct exception info:
net.rubyeye.xmemcached.exception.MemcachedServerException: object too large for cache,key=largeObject
	at net.rubyeye.xmemcached.command.Command.decodeError(Command.java:262)
	at net.rubyeye.xmemcached.command.Command.decodeError(Command.java:279)
	at net.rubyeye.xmemcached.command.text.TextStoreCommand.decode(TextStoreCommand.java:120)
	at net.rubyeye.xmemcached.codec.MemcachedDecoder.decode0(MemcachedDecoder.java:61)
	at net.rubyeye.xmemcached.codec.MemcachedDecoder.decode(MemcachedDecoder.java:56)
	at com.google.code.yanf4j.nio.impl.NioTCPSession.decode(NioTCPSession.java:297)
	at com.google.code.yanf4j.nio.impl.NioTCPSession.decodeAndDispatch(NioTCPSession.java:237)
	at com.google.code.yanf4j.nio.impl.NioTCPSession.readFromBuffer(NioTCPSession.java:207)
	at com.google.code.yanf4j.nio.impl.AbstractNioSession.onRead(AbstractNioSession.java:196)
	at com.google.code.yanf4j.nio.impl.AbstractNioSession.onEvent(AbstractNioSession.java:341)
	at com.google.code.yanf4j.nio.impl.SocketChannelController.dispatchReadEvent(SocketChannelController.java:56)
	at com.google.code.yanf4j.nio.impl.NioController.onRead(NioController.java:157)
	at com.google.code.yanf4j.nio.impl.Reactor.dispatchEvent(Reactor.java:323)
	at com.google.code.yanf4j.nio.impl.Reactor.run(Reactor.java:180)

In 2.1.0, i tweaked the performance of  binary protocol implementation.The binary protocol in old xmemcached versions are not good enough, it's performance is less than text protocol command factory.But in 2.1.0, it catches up.
You may wan to  try it when you are free.And if you have more info for this issue ,please let me known, thanks.

Please ignore my last comment, i reproduced the issue at last, and i still look into why it happens.
If i find the bug, i will fixed ASAP.
Thanks for your reporting.

I fixed this  issue , and i will release a new version ASAP.
Thanks a lot for your report.

Thank you for fixing it.
Based on you assessment does the fix address only specific "object too large for cache" use case or is it broader and may also address other TimeoutException scenarios?

@ovonick
Hi, it fixed all TimeoutException scenarios both in binary and text protocol, thanks a lot for this issue, it's really an old bug in xmemcached.
I will release the new version ASAP after i fix #37 .

Hi - Do you have an estimated date for this release please? It is one that has been plaguing us for over a year now and we have a really critical release in November for which we desperately need this fix. Is there any way we can persuade you to release this immediately?

I released 2.2.0 .
It may take some time to be synchronized to maven central repository.Hope it helps.

I can release a minor version today.
2016-10-27 2:14 GMT+08:00 sudhakv<EMAIL_ADDRESS>
Hi - Do you have an estimated date for this release please? It is one that
has been plaguing us for over a year now and we have a really critical
release in November for which we desperately need this fix. Is there any
way we can persuade you to release this immediately?
—
You are receiving this because you modified the open/close state.
Reply to this email directly, view it on GitHub
https://github.com/killme2008/xmemcached/issues/30#issuecomment-256432459,
or mute the thread
https://github.com/notifications/unsubscribe-auth/AAA3PlNct747FNBB_kVdqXoZLr9WK42kks5q35h8gaJpZM4D7H-m
.

--
庄晓丹
Email<EMAIL_ADDRESS><EMAIL_ADDRESS>Site:           http://fnil.net
Twitter:      @killme2008

Much appreciated - we picked it up. Thank you very much!

Hi
We picked up  https://mvnrepository.com/artifact/com.googlecode.xmemcached/xmemcached/2.4.5 and we still see the exception. Here is the exception trace we continue to see in our labs where we upgraded the client jar xmemcached-2.4.5.jar.
site-2-pps06  site-2-pps06 2019-03-18 08:42:12,943 [pool-3-thread-1] WARN  c.b.memcache.impl.MemcacheClient - Memcached failure
java.util.concurrent.TimeoutException: Timed out(150 milliseconds) waiting for operation while connected to <IP_ADDRESS>:11211
at net.rubyeye.xmemcached.XMemcachedClient.latchWait(XMemcachedClient.java:2380) ~[xmemcached-1.3.8.jar:na]
at net.rubyeye.xmemcached.XMemcachedClient.sendStoreCommand(XMemcachedClient.java:2345) ~[xmemcached-1.3.8.jar:na]
at net.rubyeye.xmemcached.XMemcachedClient.add0(XMemcachedClient.java:1337) ~[xmemcached-1.3.8.jar:na]
at net.rubyeye.xmemcached.XMemcachedClient.add(XMemcachedClient.java:1331) ~[xmemcached-1.3.8.jar:na]
at net.rubyeye.xmemcached.XMemcachedClient.add(XMemcachedClient.java:1360) ~[xmemcached-1.3.8.jar:na]
at net.rubyeye.xmemcached.XMemcachedClient.add(XMemcachedClient.java:1349) ~[xmemcached-1.3.8.jar:na]
at com.broadhop.memcache.impl.MemcacheClient.add(MemcacheClient.java:281) ~[com.broadhop.common.service_14.0.1.r133471.jar:na]
at com.broadhop.memcache.impl.SemaphoreManager.getSemaphore(SemaphoreManager.java:73) [com.broadhop.common.service_14.0.1.r133471.jar:na]
at sun.reflect.GeneratedMethodAccessor_RN2F290B39.invoke(Unknown Source) ~[na:na]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[na:1.8.0-zing_<IP_ADDRESS>]
at java.lang.reflect.Method.invoke(Method.java:498) ~[na:1.8.0-zing_<IP_ADDRESS>]
at org.springframework.aop.support.AopUtils.invokeJoinpointUsingReflection(AopUtils.java:309) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.osgi.service.importer.support.internal.aop.ServiceInvoker.doInvoke(ServiceInvoker.java:58) [org.springframework.osgi.core_2.0.0.M1.jar:2.0.0.M1]
at org.springframework.osgi.service.importer.support.internal.aop.ServiceInvoker.invoke(ServiceInvoker.java:62) [org.springframework.osgi.core_2.0.0.M1.jar:2.0.0.M1]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:172) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.aop.support.DelegatingIntroductionInterceptor.doProceed(DelegatingIntroductionInterceptor.java:131) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.aop.support.DelegatingIntroductionInterceptor.invoke(DelegatingIntroductionInterceptor.java:119) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:172) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.osgi.service.util.internal.aop.ServiceTCCLInterceptor.invokeUnprivileged(ServiceTCCLInterceptor.java:71) [org.springframework.osgi.core_2.0.0.M1.jar:2.0.0.M1]
at org.springframework.osgi.service.util.internal.aop.ServiceTCCLInterceptor.invoke(ServiceTCCLInterceptor.java:54) [org.springframework.osgi.core_2.0.0.M1.jar:2.0.0.M1]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:172) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.osgi.service.importer.support.LocalBundleContextAdvice.invoke(LocalBundleContextAdvice.java:59) [org.springframework.osgi.core_2.0.0.M1.jar:2.0.0.M1]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:172) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]
at org.springframework.aop.support.DelegatingIntroductionInterceptor.doProceed(DelegatingIntroductionInterceptor.java:131) [org.springframework.aop_3.0.6.RELEASE.jar:3.0.6.RELEASE]

Since there is no response, probably because it's a closed one. Creating a new issue to track


Guide for use the app in interaction with meetings created with moodle (secure connection, password, etc.)

Hello,
It would be nice to have a kind of user guide to connect to a meeting within a moodle LMS.
For example: I have an URL, but the access to the meeting is protected by username and password. How can I get this parameters within the BBB app?
Thanks a lot! Good work!

Can you add more information on what you're trying to do?
You have a meeting URL from greenlight?


Remove private SurveyJS API information

If this code is going to be published, all details concerning collection credentials should be removed from the code. This includes URLs to the private SurveyJS repository where surveys are located as well as survey identifiers.

There are no hardcoded credentials.


What are the pre-computed features in 'features.pt'?

Thanks for the code.
In dataset_orig.py, looks like some pre-computed features are assumed to be stored in 'features.pt'. Can you please let me know what these features are? Are these Cepstral features computed from Librispeech data using a different code?
Thanks in advance!

Hi! Yes the features are cepstral features of the speech signal from the training dataset. They were exacted the same way as LPCNet does. LPCNet's repo (https://github.com/xiph/LPCNet) has provided the code. You can refer to the second step of Training a new model - generate training data ((https://github.com/xiph/LPCNet))

Thank you! Can you also confirm the input features: [0 to 17] - Cepstrum, [18] - pitch lag, [19] - pitch correlation. Is this correct?

Yes. That's correct. The same with LPCNet's original feature design.


New Swatch Internet Time widget (widswatchbeats)

Just got my Bangle a few weeks ago and I wanted to try contributing a small widget. This widget shows the current Swatch Internet Time in the top left. Please let me know then if there is anything I should change!

Looks great, thanks! Only thing I'd say is you don't need the widget-icon.js/widswatchbeats.img - because it's a widget it doesn't appear in the launcher, so an icon won't ever be displayed anywhere.
Please could you take that out? Just remove widget-icon.js and the associated line in metadata.json? And I'll merge

Thanks for having a look! That makes sense, since it's a widget. I just removed the image line.

Thanks! Merging now :)

Great! Thanks for deleting widget-icon.js file for me -- forgot that part.

No problem - thanks for contributing!
It's on the dev app loader now, but won't go live on banglejs.com/apps until next week


feature request

could u plz add a feature for customize highlight RegEx?

Hi
I'm really sorry, but it's not possible yet, due to VSCode limitations
Seems like this issue is dublicate of #7
Anyway, feel free make a PR, if you will find a way to solve this problem.
Any advices are welcome


[util] set Beyond Good and Evil allowDiscard to false

In some scenes there can be graphical glitches unless allowDiscard is set to false
Tested on R9 380

Example screenshot
This will correctly show her holding a blue orb when allowDiscard is set to false

This may be an AMD-only problem, I guess, just FYI... never seen in on the ol' Nvidia frog GPU.

On further inspection this might be a driver issue as it doesn't happen on windows with dxvk.
Also i got feedback from the devs that allowDiscard is in general a bad workaround.


Try to fix the rebuild PR

This should fix GCC7.

Hi! This is the friendly automated conda-forge-linting service.
I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

CI passed. @conda-forge/core Based on lack of activity in this feedstock you might need to merge this one.

Thanks for the ping @pkgw!


pytube

good morning guys please how can i get video size with pytube to make a progress bar in kivy?

It's a property of Streams, i.e. filesize

Give your issues descriptive names. We know that you a reporting a pytube issue, because this is the pytube github.


Fixed faulty Social Links in the footer

Hello Project Admin,
I have successfully resolved the issue of social icons which were not working earlier in the footer.jsx file by updating the react code.
Issue Ticket Number:
Fixes #27
Checklist:
[ ✅] I have followed the contributing guidelines of this project as mentioned.
[ ✅] I have checked to ensure there aren't other open Pull Requests for the same update/change.
[✅ ] I have performed a self-review of my own code.
[ ✅] I have commented my code, particularly in hard-to-understand areas

@Suvam3456  share a demo video

@Suvam3456 share a demo video

I guess you have checked them now direbtly in your Website👍🏼.

@HimanshuNarware Please add labels to this PR ,  I am not available in Leaderboard


How to enable allowScalar in evaluation Option

I see the allowScalar field in  evaluation Option in cue/types.go

Now, I want to enable allowScalar, but I don't know how to?

This doesn't seem to be used at the moment. What is your use case?

For example, I define  workflow by cuelang like as follow.
step1: {}
step2: {prefix: step1.value}
if step2.value > 100 {
   step3: {prefix: step2.value}
}

the workflow will fill value: number for every step during execution.

But the cue.Value compiled from the above script has an error: 'undefined field: value' . At this time when I use value.Fields() to list valid steps(to be executed), an error return.
Expected:

value.Fields() can iterate over all valid fields if I can set  option allowScalar true
cueflow(tools/flow) can execute the above cue.Value

Interesting. Note that it is illegal to have "regular" fields (not a definition or hidden field) alongside scalar values. So if I understand correctly what you want, this is not allowed.
It is normal that the above value has errors, btw, as at the start of flow the value fields do not exist. That should be fine though. CUE roughly has two kinds of errors: incomplete and final. Incomplete errors can be resolved by making a configuration more complete, which is what a flow execution would usually do.
In the above example, the value fields indeed do not exist, but from the sounds of it would be filled by your flow implementation.
So the first thing to solve here is why there is an issue for flow to accept the above value.

Yep, It is exactly what I needed  that the flow could accept the example value.
In our case, We need to determine whether to add a new step according to the execution results of the previous steps.

hi, @mpvl , Do we have any schedule on this issue? The KubeVela project is still blocking on this issue for upgrading to the new CUE version.
Supporting cueflow can also help if we can't allow setting the value allowScalar.  We're going to migrate our own workflow to the cueflow way.

You shod be able to work around this by adding value: _ to the tasks you expect it to be reference it from. Generally, if you have definitions for you task schemas, it could go there. New tasks should then be generated when the task finishes and the referenced field becomes concrete.
I've been doing this. It would be interesting to see how flow works to create dynamic tasks if undefined fields are acceptable. For example, when dynamically creating a task when a field does not exist.

@wonderflow @leejanee
I'm still not entirely sure what functionality you are looking for. I think part of my confusion is the name allowScalar, which I see in the code doesn't do anything like that.
But if I understand correctly, you want to be able to iterate over any fields known so far, even if there are "incomplete" errors. That is more or less what allowScalar seems to do.
Is that correct? I suggest then adding an IgnoreErrors() option.

ping @leejanee , please help check


Responsiveness

Improve the Login Page to be more responsive on all devices of all sizes.

I noticed some pixel overflows on different devices that I tested and so I would like to make the app more responsive.
My Virtual Device: Nexus X5 API 30

Fixed with responsive_framework


promscale in HA mode by default

What is missing?
Production-ready promscale should most likely run in HA mode.
Why do we need it?
To make tobs deploy production-grade software with optional support for slimed down version for testing and demo purposes.
Anything else we need to know?:
Slightly related to https://github.com/timescale/tobs/issues/351

Closing this as the focus for now will be only on single promscale instance and for production-ready setup we will be recommending running prometheus and alertmanager with multiple instances (partially tracked in #351)


Test test_wrapper_address_protocol_libm failing on mainline

Reporting a bug
PR https://github.com/numba/numba/pull/8503 had a test fail unrelated to the changes in the PR (they were entirely doc changes). The failed build was Windows py37_np118 the relevant part of the log is:
ERROR: test_wrapper_address_protocol_libm (numba.tests.test_function_type.TestFunctionTypeExtensions) [<object object at 0x0000017429A97C60>] (jit={'nopython': True})
Parallel: 491. Serial: 34
Call cos and sinf from standard math library.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "D:\a\1\s\numba\core\typeinfer.py", line 155, in propagate
    constraint(typeinfer)
  File "D:\a\1\s\numba\core\typeinfer.py", line 229, in __call__
    raise TypingError('non-precise type {}'.format(ty))
numba.core.errors.TypingError: non-precise type pyobject
During: typing of argument at D:\a\1\s\numba\tests\test_function_type.py (628)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "D:\a\1\s\numba\tests\test_function_type.py", line 636, in test_wrapper_address_protocol_libm
    self.assertEqual(jit_(myeval)(mycos, 0.0), 1.0)
  File "D:\a\1\s\numba\core\dispatcher.py", line 468, in _compile_for_args
    error_rewrite(e, 'typing')
  File "D:\a\1\s\numba\core\dispatcher.py", line 407, in error_rewrite
    raise e
  File "D:\a\1\s\numba\core\dispatcher.py", line 420, in _compile_for_args
    return_val = self.compile(tuple(argtypes))
  File "D:\a\1\s\numba\core\dispatcher.py", line 965, in compile
    cres = self._compiler.compile(args, return_type)
  File "D:\a\1\s\numba\core\dispatcher.py", line 129, in compile
    raise retval
  File "D:\a\1\s\numba\core\dispatcher.py", line 139, in _compile_cached
    retval = self._compile_core(args, return_type)
  File "D:\a\1\s\numba\core\dispatcher.py", line 157, in _compile_core
    pipeline_class=self.pipeline_class)
  File "D:\a\1\s\numba\core\compiler.py", line 715, in compile_extra
    return pipeline.compile_extra(func)
  File "D:\a\1\s\numba\core\compiler.py", line 452, in compile_extra
    return self._compile_bytecode()
  File "D:\a\1\s\numba\core\compiler.py", line 520, in _compile_bytecode
File "numba\tests\test_function_type.py", line 628:
        def myeval(f, x):
            return f(x)
            ^

Perhaps it is the same error: #8282

Thanks, looks like it, closing.


validate your blocks

docker-compose -f docker-compose-watcher.yml up

Coverage remained the same at 86.162% when pulling c91de9723d27dbf84f32e5ba579cdefb87fdc219 on inomurko/integration-watcher into dc971b2538a069c4e748f618b52982f3f0c5b065 on master.


Tint editor extension

Features
Add tint editor to the thang editor color tab. Can be accessed via /editor/thang and then clicking on the Color tab.
This tab now has two modes. The default mode is the original purpose which is to define color groups. But there is now a button that switches the page to a tint playground tab and mode.
The tint assignment tab allows testing out various color tint combinations, and saving them to the database.
This tab includes a second treema for editing the tints.
It also replaces the grid of colors with dynamically created tints from the treema. This allows designers to combine the various tints together on the thang instead of one at a time as per prior behavior.
Once tints have been defined in the treema, they can now also be saved to the database if the user is an admin.

Features in the image:

two hair tints defined by treema
generated tint color presets
ugly save button
preview of selected tints (only one per group)
buttons for switching between modes or tabs along top.

Thanks @jmif. I added your feedback.


feat: add datadog_trace 0.91.1 release

update datadog_trace with release 0.91.1

:tada: This PR is included in version 1.198.0 :tada:
The release is available on GitHub release
Your semantic-release bot :package::rocket:


Defining consumer group on the Azure Event Hub source

Hi all,
Not sure if I got something wrong or if it's just missing, but I want to define an Azure Event Hub source and direct it to use a specific consumer group and I can't find where that is defined in the CRD: https://github.com/triggermesh/triggermesh/blob/c86f3c47d57acc294e73fe6cb1c200914f742fe2/config/300-azureeventhubssource.yaml
I specifically need the Azure Event Hub and can't use Kafka.
Thanks!

Hey @NatanMish. I looked up the client code and it seems that we use the default consumer group in the source adapter and currently there is no way to overwrite it. Let me check what would it take to expose the consumer group parameter in the CRD and I get back to you with the update.

@NatanMish we updated our latest release, Custom Group support should be there. Please let us know if it works for you.
apiVersion: sources.triggermesh.io/v1alpha1
kind: AzureEventHubsSource
metadata:
  name: sample
spec:
  eventHubID: /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/MyGroup/providers/Microsoft.EventHub/namespaces/MyNamespace/eventhubs/MyEvents
  consumerGroup: consumer-group-name
  ...

Thank you very much all! I'll test it out and let you guys know

Ok I've encountered another issue. Here is what I have so far - I am trying to redirect messages from one eventhub to another:

Event hub source defined as:

apiVersion: sources.triggermesh.io/v1alpha1
kind: AzureEventHubsSource
metadata:
  name: sample
spec:
  eventHubID: /subscriptions/b9f079fb-0edc-4636-8216-91374b91b736/resourceGroups/mg-testeenv/providers/Microsoft.EventHub/namespaces/testehinstance/eventhubs/test-triggermesh

  auth:
    servicePrincipal:
      tenantID:
        valueFromSecret:
          name: azure
          key: tenantID
      clientID:
        valueFromSecret:
          name: azure
          key: clientID
      clientSecret:
        valueFromSecret:
          name: azure
          key: clientSecret

  sink:
    ref:
      apiVersion: eventing.knative.dev/v1
      kind: Broker
      name: knative-broker

Knative Broker defined as:

apiVersion: eventing.knative.dev/v1
kind: Broker
metadata:
  name: knative-broker
  namespace: default

Trigger defined as:

apiVersion: eventing.triggermesh.io/v1alpha1
kind: Trigger
metadata:
  name: mdemo
spec:
  broker:
    kind: Broker
    group: eventing.knative.dev/v1
    name: knative-broker
  target:
    ref:
      apiVersion: targets.triggermesh.io/v1alpha1
      kind: AzureEventHubsTarget
      name: sample-target

  delivery:
    retry: 3
    deadLetterSink:
      ref:
        kind: Service
        apiVersion: v1
        name: display-deadlettersink

Eventhub target:

apiVersion: targets.triggermesh.io/v1alpha1
kind: AzureEventHubsTarget
metadata:
  name: sample-target
spec:
  eventHubID: /subscriptions/b9f079fb-0edc-4636-8216-91374b91b736/resourceGroups/mg-testeenv/providers/Microsoft.EventHub/namespaces/testehinstance/eventhubs/triggermesh-target

  auth:
    sasToken:
      connectionString:
        valueFromSecret:
          name: azure
          key: connectionString

After applying all of these I get this message in the eventhub source events feed:
Warning  Unhealthy  6s (x10 over 34s)  kubelet            Startup probe failed: HTTP probe failed with statuscode: 503
Warning  Unhealthy  5s (x3 over 31s)   kubelet            Startup probe failed: Get "http://<IP_ADDRESS>:8080/health": dial tcp <IP_ADDRESS>:8080: connect: connection refused

Any help would be appreciated!

Any chance you can join Slack so that we can help you debug this: https://join.slack.com/t/triggermesh-community/shared_invite/zt-1kngevosm-MY7kqn9h6bT08hWh8PeltA
From your manifest it looks like you are using a Triggermesh Trigger object with a Knative Broker and that won't work.
You can either switch to a triggermesh broker (if you have installed it) or switch to a knative Trigger.
So either
apiVersion: eventing.triggermesh.io/v1alpha1
kind: MemoryBroker
metadata:
  name: demo

Or:
apiVersion: eventing.knative.dev/v1
kind: Trigger
metadata:
  name: mdemo
spec:
  broker: knative-broker
  subscriber:
    ref:
      apiVersion: targets.triggermesh.io/v1alpha1
      kind: AzureEventHubsTarget
      name: sample-target

I would start by trying a knative Trigger

this is fixed and merged so I am closing. @NatanMish if you want to re-open feel free.


How to setup batch_size?

There seems no where to set batch_size, as neither datablock nor singleblock class have an input entry for it.

Singleblock and datablock is a subclass of dataset so you can just put batch_size as argument to set batch_size
https://github.com/hycis/Mozi/blob/master/example/datablocks_example.py#L62 https://github.com/hycis/Mozi/blob/master/example/datablocks_example.py#L62

On 24 Jan 2017, at 11:44 AM, shakacs<EMAIL_ADDRESS>wrote:
There seems no where to set batch_size, as neither datablock nor singleblock class have an input entry for it.
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Thanks. The reason i post this issue is that when i tried to run the code in tourist, it throws "'Mnist' object has no attribute 'batch_size'", the same exception thrown once i tried to print the batch_size of a datablock object, and i traced into the source and found that only IterMatrix class has a member called batch_size. May be i got something wrong.

Yap, the dataset object itself contains the train, valid and test itermatrix, and dataset itself indeed does not have the attribute of batch_size. However you can call the batch_size by looking into the itermatrix, for example
dataset = Mnist(batch_size=32)
print(dataset.train.batch_size)

On 24 Jan 2017, at 12:13 PM, shakacs<EMAIL_ADDRESS>wrote:
Thanks. The reason i post this issue is that when i tried to run the code in tourist, it throws "'Mnist' object has no attribute 'batch_size'", the same exception thrown once i tried to print the batch_size of a datablock object, and i traced into the source and found that only IterMatrix class has a member called batch_size. May be i got something wrong.
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Functional test step fails with no failure

Hello,
I have a functional test step which fails since the Coded UI tests don't pass. But the tests don't fail either so am wondering if the tests run in the first place. See attached screenshots.

@mutee88 Did you look into the trx for the test run to see the outcome of the test cases ?

Yes I did. Somehow this issue has been solved.
The problem was  that I was running functional tests using vs2013 and the test agents where 2015.3

@mutee88 Thanks for confirming that you are unblocked.


How to open RawFile Version 26?

Hi everyone,
Anybody knows how Can I open a powercase in rawfile format with version26?
The following code will open Version33 but when I tried for Version 26 it comes with an error.
from esa import SAW
saw=SAW(CASE_PATH)

Thank you for prompt answer.
I have tried it but it doesn't work even with 'PTI26'.
Would you please take a look at the line of the code?
saw=SAW.OpenCaseType('CASE_PATH','PTI26','')
And this is the error I receive.
Note that I just want to load a powercase rawfile which has version26.
Regards,
Saeed
On Mon, Jul 10, 2023 at 3:49 PM Zeyu Mao @.***> wrote:

Check this out:
https://github.com/mzy2240/ESA/blob/77fd8990f4af4ad5de9672da0508462820ad6443/esa/saw.py#L2646
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@.***>

I received this error:
'str' object has no attribute 'pwb_file_path'

saw=SAW(fake_case) # load any case first, PTI v33 or PWB file
saw.OpenCaseType(real_case, "PTI26") # now load the case that is PTI26

Currently there is no good way to load a case with specified file type, which could be easily fixed in the init method by introducing a new optional argument file_type.

from esa import SAW
saw=SAW(CASE_PATH)  # load a case first with PTI v33
saw.OpenCaseType(myfilename,"PTI26") # Then load the real file with PTI v26
The second line get loaded but still the following error comes up for third line:
esa.saw.PowerWorldError: OpenCaseTypeSimAuto: Invalid Creation of Loads Transactions parameter.

The alternative way to load a version26 Rawfile is the following line:
simauto_obj.RunScriptCommand("OpenCase(" + myfilename + ", PTI26)")
It is working, However, I need to use ESA package.

Then try this
from esa import SAW
saw = SAW(CASE_PATH) # load a case first with PTI v33
saw.RunScriptCommand("OpenCase(" + myfilename + ", PTI26)")

The second line get loaded but still the following error comes up for third line:
esa.saw.PowerWorldError: OpenCaseTypeSimAuto: Invalid Creation of Loads Transactions parameter.

Do you mind to share the PTI26 case? OpenCaseType works fine in our test.

Sure.
Please find it attached.
It would be great if you check it with your code.
On Mon, Jul 10, 2023 at 6:13 PM Zeyu Mao @.***> wrote:

The second line get loaded but still the following error comes up for
third line:
esa.saw.PowerWorldError: OpenCaseTypeSimAuto: Invalid Creation of Loads
Transactions parameter.
Do you mind to share the PTI26 case? OpenCaseType works fine in our test.
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Original200_1_0.856147436030558.zip
It is in the zip file attached.

saw.OpenCaseType(r"C:\Users\\Downloads\Original200_1_0.856147436030558\Original200_1_0.856147436030558.raw", FileType="PTI26", Options="NO") you need to set LoadTransaction to NO

Zeyu,
Thanks for your support. It is working now.

Feel free to leave a comment if you found ESA useful: https://github.com/mzy2240/ESA/issues/110


[Bug] The search in the multi select is not showing

Steps to reproduce the behaviour:

Drag a dropdown
Convert to multi select
Enter text in the multi select to filter options
The options get filtered but the text is not visible

reopening the issue as it is not working as expected

@jsartisan the search should be cleared once the selection is made

@jsartisan the search should be cleared once the selection is made

@Nikhil-Nandagopal I can see the search being cleared on selection.

https://app.appsmith.com/applications/5ff584aa53b64c03e83001c4/pages/5ff584aa53b64c03e83001c6

@Nikhil-Nandagopal I can see the search being cleared on selection.

https://app.appsmith.com/applications/5ff584aa53b64c03e83001c4/pages/5ff584aa53b64c03e83001c6

@jsartisan strange it seems to be working now!

@jsartisan strange it seems to be working now!


ClampTransform

Adding a ClampTransform to be able to limit the range of a channel.  The inverse of a ClampTransform is a noop.  If min>max then the channel is pass through.  The ClampTransform will be used clamp the values before apply the power operator in a CDLTransform.

Refer Range Op in 556


[Bug]: output.copy type definition is limited to CopyRspackPluginOptions

Version
npmPackages:
  @modern-js/app-tools: 2.48.0 => 2.48.0
  @modern-js/eslint-config: 2.48.0 => 2.48.0
  @modern-js/runtime: 2.48.0 => 2.48.0
  @modern-js/tsconfig: 2.48.0 => 2.48.0

Edit: I've tried upgrading to Modern.js v2.48.4 and the issue still persists.

Details
Our configuration is using Webpack to produce a static SPA.

TypeScript v5.0.4

The documentation for output.copy outlines, correctly, that the Modern.js copy should accept the same configuration as the copy-webpack-plugin. However, the type definition for this property is limited to the CopyRspackPluginOptions type.
The property that's throwing the error is the transform property. We're using Webpack to bundled our application, so the feature does work correctly. Only the type checking is incorrect.
Below is the type error thrown:
TS2322: Type '{ from: string; to: string; transform(content: any): any; }' is not assignable to type 'string | ({ from: string; } & Partial<RawCopyPattern>)'.
  Object literal may only specify known properties, and 'transform' does not exist in type '{ from: string; } & Partial<RawCopyPattern>'.
    20 |                 from: './env/fileToCopy.js',
    21 |                 to: '',
  > 22 |                 transform(content) {
       |                 ^^^^^^^^^
    23 |                     return content;
    24 |                 },
    25 |             },

Relevant portion of the modern.config.ts:
// modern.config.ts
export default defineConfig({
    output: {
        cleanDistPath: true,
        disableSourceMap: false,
        polyfill: 'off',
        distPath: {
            html: '',
        },
        copy: [
            {
                from: './env/fileToCopy.js',
                to: '',
                transform(content) { // <--- Throws type error
                    // ...
                    return content;
                },
            },
        ],
    },
    // ...
};

Reproduce link
https://gitpod.io#snapshot/7df64c15-a5f8-4d0c-ac1a-9702097a7ebe
Reproduce Steps
In the shared Gitpod snapshot: https://gitpod.io#snapshot/7df64c15-a5f8-4d0c-ac1a-9702097a7ebe
Code is on GitHub if you don't want to use Gitpod: https://github.com/AllenAttuned/modern_ts_bug
You'll find the modern.config.js file. In it, I've added the output.copy property with the transform property. Running npm run build as is will fail with the type error. Removing the whitespace between the @ and ts-expect-error in the TypeScript exception will allow the build to succeed.
// modern.config.ts

// ...
copy: [
  {
    from: './env/fileToCopy.txt',
    to: '',
    // Remove the " " between `@` and `ts-...` to correct the TS exception to fix the type error
    // @ ts-expect-error
    transform(content) {
      return content;
    },
  },
],
// ...

We can try to implement the transform option in the CopyRspackPlugin, so Modern.js can provide consistent type definitions for output.copy, @9aoy can you take this?


Maybe just my mistake...

When inputing "smtp.gmail.com:PORT" as server and port necessary it gives the error:
" [!] Please use a valid smtp server "
may just be a format issue on my end, any help?

Hello,
First you need put server "smtp.gmail.com" and after he will ask the port and you put the port "587". So must be like this:
Put Server: smpt.xxx.com
Put Port:  XXX

hy
i am form indonesia
i am just new user
i this error
Bee > 3
You can see a list with servers and ports in SERVERS.txt on BeeLogger folder.
Type email server (ex: 'smtp.gmail.com'): smtp.gmail.com
[!] Please use a valid smtp server.
You can see a list with servers and ports in SERVERS.txt on BeeLogger folder.
Type email server (ex: 'smtp.gmail.com'):
can u help me ?

Hello
same problem , i type it correct and try to change everything but still
" [!] Please use a valid smtp server "

Try now guys, i fixed it, reclone please

@drshell60 @MrElMay @Anon-NM

im trying to install.sh it stock on this step , i cant press next or change anything

Hey @drshell60 What's your wine version?
Just type "wine --version"

Could you please explain more
it not worked with me when I type  my email !!
please help!!

@Bakr200 do you  have input smtp server and port?

I think yea but wrong
just tell me what must i do when he ask me my email !!

You need to run updater.py to take new update bakr200

still not working !!!

Reclone now please

all the tools?

Only BeeLogger

Thanx ...           worked
thanx

Can I put this beelogger file in mobile and spy ?

It just work for windows. Maybe in future can be released a mobile keylogger. Its a good idea. :D

thank you I got it working.
On Apr 18, 2017 2:14 PM, "Alisson Moretto"<EMAIL_ADDRESS>wrote:

Hello,
First you need put server "smtp.gmail.com" and after he will ask the port
and you put the port "587". So must be like this:
Put Server: smpt.xxx.com
Put Port: XXX
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub
https://github.com/4w4k3/BeeLogger/issues/21#issuecomment-294966592, or mute
the thread
https://github.com/notifications/unsubscribe-auth/AZlg1a2tbavB9y4a1VT0LTQPCeaIW_gWks5rxRmWgaJpZM4NA1Cy
.


[Bug]: Distributed inference fails on certain multimodal models

Your current environment

The output of `python collect_env.py`

PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04 LTS (x86_64)
GCC version: (Ubuntu 13.2.0-23ubuntu4) 13.2.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.39

Python version: 3.12.3 (main, Jul 31 2024, 17:43:48) [GCC 13.2.0] (64-bit runtime)
Python platform: Linux-6.8.0-1012-aws-x86_64-with-glibc2.39
Is CUDA available: True
CUDA runtime version: 12.4.99
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA A10G
GPU 1: NVIDIA A10G
GPU 2: NVIDIA A10G
GPU 3: NVIDIA A10G

Nvidia driver version: 550.54.14
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                         x86_64
CPU op-mode(s):                       32-bit, 64-bit
Address sizes:                        48 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               48
On-line CPU(s) list:                  0-47
Vendor ID:                            AuthenticAMD
Model name:                           AMD EPYC 7R32
CPU family:                           23
Model:                                49
Thread(s) per core:                   2
Core(s) per socket:                   24
Socket(s):                            1
Stepping:                             0
BogoMIPS:                             5599.33
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf tsc_known_freq pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch topoext ssbd ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 clzero xsaveerptr rdpru wbnoinvd arat npt nrip_save rdpid
Hypervisor vendor:                    KVM
Virtualization type:                  full
L1d cache:                            768 KiB (24 instances)
L1i cache:                            768 KiB (24 instances)
L2 cache:                             12 MiB (24 instances)
L3 cache:                             96 MiB (6 instances)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-47
Vulnerability Gather data sampling:   Not affected
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec rstack overflow:   Vulnerable: Safe RET, no microcode
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:             Mitigation; Retpolines; IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==<IP_ADDRESS>
[pip3] nvidia-cuda-cupti-cu12==12.1.105
[pip3] nvidia-cuda-nvrtc-cu12==12.1.105
[pip3] nvidia-cuda-runtime-cu12==12.1.105
[pip3] nvidia-cudnn-cu12==<IP_ADDRESS>
[pip3] nvidia-cufft-cu12==<IP_ADDRESS>
[pip3] nvidia-curand-cu12==<IP_ADDRESS>
[pip3] nvidia-cusolver-cu12==<IP_ADDRESS>
[pip3] nvidia-cusparse-cu12==<IP_ADDRESS>
[pip3] nvidia-ml-py==12.560.30
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] nvidia-nvjitlink-cu12==12.6.68
[pip3] nvidia-nvtx-cu12==12.1.105
[pip3] pyzmq==26.2.0
[pip3] torch==2.4.0
[pip3] torchvision==0.19.0
[pip3] transformers==4.45.1
[pip3] triton==3.0.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.6.1.dev238+ge2c6e0a82
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0	GPU1	GPU2	GPU3	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	PHB	PHB	PHB	0-47	0		N/A
GPU1	PHB	 X 	PHB	PHB	0-47	0		N/A
GPU2	PHB	PHB	 X 	PHB	0-47	0		N/A
GPU3	PHB	PHB	PHB	 X 	0-47	0		N/A

Legend:

  X    = Self
  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
  PHB  = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
  PXB  = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
  PIX  = Connection traversing at most a single PCIe bridge
  NV#  = Connection traversing a bonded set of # NVLinks

Model Input Dumps
err_execute_model_input_20240930-213352.pkl.zip
🐛 Describe the bug
Sampel code:
from vllm import LLM, SamplingParams
llm = LLM(model="adept/fuyu-8b", tensor_parallel_size=4, pipeline_parallel_size=1)
This sample code throws the following error on an instance with 4 A10G GPUs.
RuntimeError: Error in model execution (input dumped to /tmp/err_execute_model_input_20240930-231823.pkl): shape mismatch: value tensor of shape [16128, 1024] cannot be broadcast to indexing result of shape [16128, 4096]
Before submitting a new issue...

[X] Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

Can you provide the full error logs? So that I can figure out which part is going wrong.

@Isotr0py here you go.

RuntimeError                              Traceback (most recent call last)
File ~/vllm_venv/lib/python3.12/site-packages/vllm/worker/model_runner_base.py:116, in dump_input_when_exception.._inner.._wrapper(*args, **kwargs)
115 try:
--> 116     return func(*args, **kwargs)
117 except Exception as err:
File ~/vllm_venv/lib/python3.12/site-packages/vllm/worker/model_runner.py:1590, in ModelRunner.execute_model(self, model_input, kv_caches, intermediate_tensors, num_steps)
1588     model_forward_start.record()
-> 1590 hidden_or_intermediate_states = model_executable(
1591     input_ids=model_input.input_tokens,
1592     positions=model_input.input_positions,
1593     kv_caches=kv_caches,
1594     attn_metadata=model_input.attn_metadata,
1595     intermediate_tensors=intermediate_tensors,
1596     **MultiModalInputs.as_kwargs(multi_modal_kwargs,
1597                                  device=self.device),
1598     **seqlen_agnostic_kwargs)
1600 if (self.observability_config is not None
1601         and self.observability_config.collect_model_forward_time):
File ~/vllm_venv/lib/python3.12/site-packages/torch/nn/modules/module.py:1553, in Module._wrapped_call_impl(self, *args, **kwargs)
1552 else:
-> 1553     return self._call_impl(*args, **kwargs)
File ~/vllm_venv/lib/python3.12/site-packages/torch/nn/modules/module.py:1562, in Module._call_impl(self, *args, **kwargs)
1559 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
1560         or _global_backward_pre_hooks or _global_backward_hooks
1561         or _global_forward_hooks or _global_forward_pre_hooks):
-> 1562     return forward_call(*args, **kwargs)
1564 try:
File ~/vllm_venv/lib/python3.12/site-packages/vllm/model_executor/models/fuyu.py:285, in FuyuForCausalLM.forward(self, input_ids, positions, kv_caches, attn_metadata, intermediate_tensors, **kwargs)
284     inputs_embeds = self.language_model.model.embed_tokens(input_ids)
--> 285     inputs_embeds = merge_multimodal_embeddings(
286         input_ids, inputs_embeds, vision_embeddings,
287         self.image_token_id)
289 else:
File ~/vllm_venv/lib/python3.12/site-packages/vllm/model_executor/models/utils.py:180, in merge_multimodal_embeddings(input_ids, inputs_embeds, multimodal_embeddings, placeholder_token_id)
176     raise ValueError(
177         f"Attempted to assign {expr} = {flattened.shape[0]} "
178         f"multimodal tokens to {num_expected_tokens} placeholders")
--> 180 inputs_embeds[mask] = flattened
181 return inputs_embeds
RuntimeError: shape mismatch: value tensor of shape [16128, 1024] cannot be broadcast to indexing result of shape [16128, 4096]
The above exception was the direct cause of the following exception:
RuntimeError                              Traceback (most recent call last)
Cell In[2], line 1
----> 1 llm = LLM(model="adept/fuyu-8b", tensor_parallel_size=4, pipeline_parallel_size=1)
File ~/vllm_venv/lib/python3.12/site-packages/vllm/entrypoints/llm.py:214, in LLM.init(self, model, tokenizer, tokenizer_mode, skip_tokenizer_init, trust_remote_code, tensor_parallel_size, dtype, quantization, revision, tokenizer_revision, seed, gpu_memory_utilization, swap_space, cpu_offload_gb, enforce_eager, max_context_len_to_capture, max_seq_len_to_capture, disable_custom_all_reduce, disable_async_output_proc, mm_processor_kwargs, **kwargs)
189     raise TypeError(
190         "There is no need to pass vision-related arguments anymore.")
191 engine_args = EngineArgs(
192     model=model,
193     tokenizer=tokenizer,
(...)
212     **kwargs,
213 )
--> 214 self.llm_engine = LLMEngine.from_engine_args(
215     engine_args, usage_context=UsageContext.LLM_CLASS)
216 self.request_counter = Counter()
File ~/vllm_venv/lib/python3.12/site-packages/vllm/engine/llm_engine.py:564, in LLMEngine.from_engine_args(cls, engine_args, usage_context, stat_loggers)
562 executor_class = cls._get_executor_cls(engine_config)
563 # Create the LLM engine.
--> 564 engine = cls(
565     **engine_config.to_dict(),
566     executor_class=executor_class,
567     log_stats=not engine_args.disable_log_stats,
568     usage_context=usage_context,
569     stat_loggers=stat_loggers,
570 )
572 return engine
File ~/vllm_venv/lib/python3.12/site-packages/vllm/engine/llm_engine.py:339, in LLMEngine.init(self, model_config, cache_config, parallel_config, scheduler_config, device_config, load_config, lora_config, speculative_config, decoding_config, observability_config, prompt_adapter_config, executor_class, log_stats, usage_context, stat_loggers, input_registry, use_cached_outputs)
325 self.model_executor = executor_class(
326     model_config=model_config,
327     cache_config=cache_config,
(...)
335     observability_config=self.observability_config,
336 )
338 if not self.model_config.embedding_mode:
--> 339     self._initialize_kv_caches()
341 # If usage stat is enabled, collect relevant info.
342 if is_usage_stats_enabled():
File ~/vllm_venv/lib/python3.12/site-packages/vllm/engine/llm_engine.py:474, in LLMEngine._initialize_kv_caches(self)
467 def _initialize_kv_caches(self) -> None:
468     """Initialize the KV cache in the worker(s).
469
470     The workers will determine the number of blocks in both the GPU cache
471     and the swap CPU cache.
472     """
473     num_gpu_blocks, num_cpu_blocks = (
--> 474         self.model_executor.determine_num_available_blocks())
476     if self.cache_config.num_gpu_blocks_override is not None:
477         num_gpu_blocks_override = self.cache_config.num_gpu_blocks_override
File ~/vllm_venv/lib/python3.12/site-packages/vllm/executor/distributed_gpu_executor.py:39, in DistributedGPUExecutor.determine_num_available_blocks(self)
29 """Determine the number of available KV blocks.
30
31 This invokes determine_num_available_blocks on each worker and takes
(...)
36     - tuple[num_gpu_blocks, num_cpu_blocks]
37 """
38 # Get the maximum number of blocks that can be allocated on GPU and CPU.
---> 39 num_blocks = self._run_workers("determine_num_available_blocks", )
41 # Since we use a shared centralized controller, we take the minimum
42 # number of blocks across all workers to make sure all the memory
43 # operators can be applied to all workers.
44 num_gpu_blocks = min(b[0] for b in num_blocks)
File ~/vllm_venv/lib/python3.12/site-packages/vllm/executor/multiproc_gpu_executor.py:185, in MultiprocessingGPUExecutor._run_workers(self, method, async_run_tensor_parallel_workers_only, max_concurrent_workers, *args, **kwargs)
179 worker_outputs = [
180     worker.execute_method(method, *args, **kwargs)
181     for worker in self.workers
182 ]
184 driver_worker_method = getattr(self.driver_worker, method)
--> 185 driver_worker_output = driver_worker_method(*args, **kwargs)
187 # Get the results of the workers.
188 return [driver_worker_output
189         ] + [output.get() for output in worker_outputs]
File ~/vllm_venv/lib/python3.12/site-packages/torch/utils/_contextlib.py:116, in context_decorator..decorate_context(*args, **kwargs)
113 @functools.wraps(func)
114 def decorate_context(*args, **kwargs):
115     with ctx_factory():
--> 116         return func(*args, **kwargs)
File ~/vllm_venv/lib/python3.12/site-packages/vllm/worker/worker.py:223, in Worker.determine_num_available_blocks(self)
219 torch.cuda.empty_cache()
221 # Execute a forward pass with dummy inputs to profile the memory usage
222 # of the model.
--> 223 self.model_runner.profile_run()
225 # Calculate the number of blocks that can be allocated with the
226 # profiled peak memory.
227 torch.cuda.synchronize()
File ~/vllm_venv/lib/python3.12/site-packages/torch/utils/_contextlib.py:116, in context_decorator..decorate_context(*args, **kwargs)
113 @functools.wraps(func)
114 def decorate_context(*args, **kwargs):
115     with ctx_factory():
--> 116         return func(*args, **kwargs)
File ~/vllm_venv/lib/python3.12/site-packages/vllm/worker/model_runner.py:1236, in GPUModelRunnerBase.profile_run(self)
1231 if not get_pp_group().is_first_rank:
1232     intermediate_tensors = self.model.make_empty_intermediate_tensors(
1233         batch_size=batch_size,
1234         dtype=self.model_config.dtype,
1235         device=self.device)
-> 1236 self.execute_model(model_input, kv_caches, intermediate_tensors)
1237 torch.cuda.synchronize()
1238 return
File ~/vllm_venv/lib/python3.12/site-packages/torch/utils/_contextlib.py:116, in context_decorator..decorate_context(*args, **kwargs)
113 @functools.wraps(func)
114 def decorate_context(*args, **kwargs):
115     with ctx_factory():
--> 116         return func(*args, **kwargs)
File ~/vllm_venv/lib/python3.12/site-packages/vllm/worker/model_runner_base.py:152, in dump_input_when_exception.._inner.._wrapper(*args, **kwargs)
146         raise type(err)(f"Error in model execution: "
147                         f"{str(err)}") from err
149     logger.info(
150         "Completed writing input of failed execution to %s.",
151         filename)
--> 152 raise type(err)(
153     f"Error in model execution (input dumped to {filename}): "
154     f"{str(err)}") from err
RuntimeError: Error in model execution (input dumped to /tmp/err_execute_model_input_20240930-231823.pkl): shape mismatch: value tensor of shape [16128, 1024] cannot be broadcast to indexing result of shape [16128, 4096]

@suna-123 #8986 should fix this (tested with tp_size=2)


CNF-14992: Restructure ProvisioningRequest controller

Provisioningrequest_controller.go is getting too long. Move functions to dedicated files for better organization and maintainability.

No new packages are introduced. The functions remain within the controllers/utils packages.
No functionality changes are introduced in this PR; this is purely a structural reorganization.

E2E testing was done

/lgtm

/approve


Fix call to polyval in mackinnonp()

We are using the adftest() and noticed that the pvalues that we were getting we pretty far off from the pvalue that we get from statsmodels.  I compared the code in the mackinnonp() function (since that's what returning the pvalue based on the test statistic) with statsmodels mackinnonp() function and found that they're very similar.  The difference was with the usage of polyval in the last line of the function.  spark-ts uses the polyval from breeze, which is loops the coefficients array backwards, where as statsmodels uses polyval from numpy, which does not loop through the coefficients array backwards.  both spark-ts and statsmodels reverse the array when calling polyval, but that's not required when using breeze's polyval, since that is already looping the array backwards.  So, my pull request here is just removing the reversing of the array.
Note that there is also a slight difference between the ADF test stat value from spark-ts and statsmodels as well (but not as big of a difference than the pvalues that I saw before I made this change).  Since pvalues are calculated using the test stat, the pvalue still does not match statsmodels exactly, but it's a lot closer.

This looks good to me.  Thanks @dmsuehir!


[Help] How to perform test/validation correctly on pre-trained models?

Hi, I notice that the training dataset (8631 classes in total) and the validation dataset (500 classes in total) seem to be disjoint, and according to the following code
https://github.com/cydonia999/VGGFace2-pytorch/blob/c6e10f277b31b972c78fac68a40464a36a46a10d/utils.py#L33-L45
the training dataset is labeled in the range of 0-8630, and the validation dataset is labeled in the range of 8631-9130, but the classes of model is only 8631, which means directly using python demo.py test will raise the following assertion error
Assertion ``t >= 0 && t < n_classes`` failed.

So, how can the test/validation be done correctly on pre-trained models?

@wutongshenqiu  were you able to figure it out? I am getting the same error, even when trying to train, using python demo.py train


CTL: limbs (CPU) <-> bits (logic)

Uses the linear combination Column API to do CTL directly between limbs in the CPU table and bits in the logic table. Removes 32 columns from the logic table.

Those were both good points, @wborgeaud! I’ve made those changes. Would you mind having a look at them? They’re just big enough that I wouldn’t be comfortable merging without another review.


Make extension work with Jitsi as a Service

This PR is for the Chatbot functionality.
It ensures it can install when an LNBits manifest includes the extension.
It allows the administrator can configure Jitsi to use the hosted Jitsi as a Service. This is necessary due to a change Jitsi made whereby intergrating with Jitsi has limited features and conferences have limited duration unless jaas is used.

@dni Please check the permissions on this repo. I don't have access to push changes.

My nostr is: npub1f3plgr8hr7xqf22jwzgrvdghahqlp98jklzwrjrmvrzpnfvq25js4xzznz

@dni Please check the permissions on this repo. I don't have access to push changes.

we should do it via pull request anyway, easier to review. i gave you access to create new branches.
do you want this pr to be merged? i did not so much changes in it.

@dni Please check the permissions on this repo. I don't have access to push changes.

we should do it via pull request anyway, easier to review. i gave you access to create new branches.

Thanks. That makes sense. PRs also make it easier for me to keep track of what's in review.

do you want this pr to be merged? i did not so much changes in it.

Yes, it's ready to be merged. After which we can tag it and create a release so it's installable for those who want to test it.


Provide Leiningen template for simple swagger1st setup

lein new swagger1st foobar

https://clojars.org/swagger1st/lein-template


Extended Stable

Customers are told that they can opt for Extended Stable but nothing in the documentation tells them how to do that--what action they have to take to get on Extended Stable--and they are concerned about that.

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: 5d1bc306-56a5-f501-b3e0-a661d57b1db4
Version Independent ID: e4ef685b-8570-be80-9547-9956042b967e
Content: Microsoft Edge release schedule
Content Source: edgeenterprise/microsoft-edge-release-schedule.md
Product: microsoft-edge
GitHub Login: @AndreaLBarr
Microsoft Alias: aguta

@oswiz Please see the new blog post with more information about Extended Stable: https://blogs.windows.com/msedgedev/2021/07/15/opt-in-extended-stable-release-cycle/
Thanks!


Refactor(Mathlib/CategoryTheory/Core): Make functorToCore compute

Change functorToCore to use Groupoid.inv instead of IsIso.inv and as a consequence make it's computable.

This is the 2nd time I've seen a noncomputable marker on a declaration because inv unqualified means IsIso.inv and not Groupoid.inv. I don't know what could be changed to mitigate this, but it seems like an ongoing problem

Could you change the PR commit comment (what is before "---" above) so that it contains a description of the change?

Thanks!
bors merge


Pointing to authenticating proxies/ingress controllers

Hi, thanks for this fantastic operator!
In this comment, in response to a question about how to point a Cloudflare tunnel at an authenticating proxy/ingress controller, you referred to the cfargotunnel/target annotation (https://github.com/adyanth/cloudflare-operator/issues/28):

For ingress support, check this: https://github.com/adyanth/cloudflare-operator/issues/28. You can overwrite where cloudflared points to the ingress using cfargotunnel.com/target annotation. OAuth2 in front of the service and adding Traefik middlewares like redirection was the goal of this.
https://github.com/adyanth/cloudflare-operator/blob/main/docs/configuration.md#service-annotations

However, unless I'm mistaken, that feature was removed when you simplified the operator's design in https://github.com/adyanth/cloudflare-operator/pull/63. If that feature has been replaced by something equivalent in the new design, I must be missing it, and it's not clear to me how we're meant to point the Cloudflare tunnel at an ingress controller anymore.
In my particular case, I'm trying to use vmauth from the VictoriaMetrics Operator to add some bearer token-authentication to an exposed VictoriaMetrics service:
https://docs.victoriametrics.com/operator/auth.html
But I can only figure out how to connect the Cloudflare tunnel directly to the VMAuth service, and not its ingress.

Hey @dhess , that is correct, in the new version, you can point directly to the service rather than the ingress. In the traefik example, you can point it at the traefik's service and it will work the same. Does pointing to the service not work as expected? I am not sure how VM implements their auth, but at some level it would have to pass through a K8s service belonging to VMAuth to which you could point this operator to.
Regarding #28, you can still do that by using the subjects[].spec.target. Example would look like this for guacamole. The service should be a valid one, otherwise you will see warnings on the CRD, but even without it being valid or a dummy service like the k8s default, it should work.
subjects:
  - kind: Service
    name: guacamole
    spec:
      fqdn: guacamole.domain
      noTlsVerify: false
      target: https://guacamole.local # <- use this field here to point to VMAuth

If not, this would be a feature request to support Ingress, which is not that bad, but would not be of much use when you can point to a service/FQDN.

VMAuth is mostly working with the Cloudflare tunnel (pointing to the service, rather than the ingress), but it does expose the VMAuth proxy's /metrics endpoint to the tunnel, in addition to a few other sensitive endpoints. These can be protected behind a token, but I'd prefer not to expose them at all.
It's not clear to me whether the ingress would have the same behavior as the service, as I haven't been able to test it because I don't know how to point the tunnel at it. However, based on the documentation, I get the impression that it wouldn't, as you're supposed to be able to route /metrics to a running VMAgent instance, which doesn't work as expected when I try to access it through the Cloudflare tunnel — I always get the VMAuth /metrics instead:
https://docs.victoriametrics.com/operator/auth.html

Could you let me know which service do you point the operator to? What ingress controller do you use and how does it currently block access to /metrics?
Also, setting the target as shown in the example above to expose what you want in different domains, would that be an option?

I'm not using an ingress controller in the cluster, as I haven't needed one thanks to cloudflare-operator, but the VictoriaMetrics operator creates an ingress for the VMAuth service:
$ kubectl get -A ingress                                                                                ~/git/hackworth-gitops
NAMESPACE    NAME                 CLASS   HOSTS   ADDRESS   PORTS   AGE
monitoring   vmauth-main-router   nginx   *                 80      3d10h

apiVersion: operator.victoriametrics.com/v1beta1
kind: VMAuth
metadata:
  name: main-router
spec:
  podMetadata:
    labels:
      component: vmauth
  userSelector: {}
  userNamespaceSelector: {}
  replicaCount: 2
  resources:
    requests:
      cpu: "250m"
      memory: "350Mi"
    limits:
     cpu: "500m"
     memory: "850Mi"
  ingress:
    class_name: nginx

(Not that the VictoriaMetrics Operator automatically appends vmauth- to the VMAuth's metadata.name.)
Here's the TunnelBinding:
apiVersion: networking.cfargotunnel.com/v1alpha1
kind: TunnelBinding
metadata:
  name: vm-tunnelbinding
subjects:
  - kind: Service
    name: vmauth-main-router
    spec:
      fqdn: x.y.z
tunnelRef:
  kind: Tunnel
  name: monitoring-tunnel

I guess you're suggesting that I change the name of the ingress that the VM operator creates, and point the tunnel binding at that? I suppose that might be possible in one of the VMAuth's ingress settings.

Oh, looks like victoriaMetrics/your cluster has an nginx ingress controller. You could try pointing the operator to the nginx's service which should then go through Nginx, which should do everything you expect it to.
If you do not have an ingress controller at all, does the setup without the Cloudflare operator work as expected? Are you able to locally connect to the endpoints you need while not being able to connect to /metrics? If not, I am guessing VictoriaMetrics assumes that you have an ingress controller and generates an ingress with certain config which does what you need it to do. But without an actual ingress controller to enforce it, it would not work.

The ingress is set up by the VictoriaMetrics operator, and there is no other ingress controller in the cluster. The nginx class you see there comes from the class_name property in the VMAuth config shown above. I set that because it's what was in the example in the VM documentation.
I haven't tried without the Cloudflare operator, but I'll try to find some time to do that. Thanks for your help!

Ahh, in that case, as I mentioned, VM expects you to bring your own ingress to have those features. Currently, the ingress is created, but not being served by anyone, which means even if the operator supports ingress, it would not work. So, if you install an ingress controller to serve the ingress, and point the operator to the ingress' service, it should all work out. Let me know if that does not happen.


[vcpkg_fixup_pkgconfig] Remove required in first find_program call for pkg-config

Due to cmake 3.18 actually respecting it. (Editted from mobile, currently on vacation without wlan access)
closes #12565

@Neumann-A there is an error in the paths you are looking into, also
"Cellar" folders should not be used, any brew upgrade might move, rename, do whatever they want.
For pkg-config on Mac you should look after /usr/local/bin/pkg-config, which means a pkg-config executable inside /usr/local/bin

/azp run

@Neumann-A if there is not a special reason to keep it, I'd really remove the Cellar folder from the search path. It will become old in a couple of weeks at maximum (we cannot and should not chase it)

Starting package 257/684: eigen3:x64-windows
Building package eigen3[core]:x64-windows...
Could not locate cached archive: W:\f1\f12b450bd980be77228d68337f662988eb16ef9f.zip
-- Downloading https://gitlab.com/libeigen/eigen/-/archive/3.3.7/eigen-3.3.7.tar.gz...
-- Downloading https://gitlab.com/libeigen/eigen/-/archive/3.3.7/eigen-3.3.7.tar.gz... Failed. Status: 35;"SSL connect error"

The x64_windows failure is due to a download error and should not block this PR.

@ras0219 I'll rerun the failed test after x64-osx test finish.

[1621/1622] : && /Library/Developer/CommandLineTools/usr/bin/c++  -fPIC  -mtune=native -march=corei7 -Wall -Wcast-align -Wdisabled-optimization -Wextra -Wformat=2 -Winvalid-pch -Wno-format-nonliteral -Wpointer-arith -Wshadow -Wunused -Wwrite-strings -funit-at-a-time -Wno-strict-overflow -Wno-deprecated -Wno-invalid-offsetof -Wno-undefined-var-template -Woverloaded-virtual  -g -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -Wl,-search_paths_first -Wl,-headerpad_max_install_names -fPIE -Xlinker -pie Modules/Core/TestKernel/src/CMakeFiles/itkTestDriver.dir/itkTestDriver.cxx.o  -o bin/itkTestDriver  lib/libITKIOBMP-5.0.a  lib/libITKIOGDCM-5.0.a  lib/libITKIOGIPL-5.0.a  lib/libITKIOJPEG-5.0.a  lib/libITKIOMeshBYU-5.0.a  lib/libITKIOMeshFreeSurfer-5.0.a  lib/libITKIOMeshGifti-5.0.a  lib/libITKIOMeshOBJ-5.0.a  lib/libITKIOMeshOFF-5.0.a  lib/libITKIOMeshVTK-5.0.a  lib/libITKIOMeta-5.0.a  lib/libITKIONIFTI-5.0.a  lib/libITKIONRRD-5.0.a  lib/libITKIOPNG-5.0.a  lib/libITKIOTIFF-5.0.a  lib/libITKIOVTK-5.0.a  lib/libITKCommon-5.0.a  lib/libITKIOImageBase-5.0.a  lib/libITKTestKernel-5.0.a  lib/libITKIOBMP-5.0.a  lib/libITKIOGDCM-5.0.a  lib/libitkgdcmMSFF-5.0.a  lib/libitkgdcmDICT-5.0.a  lib/libitkgdcmIOD-5.0.a  lib/libitkgdcmDSED-5.0.a  lib/libitkgdcmCommon-5.0.a  -framework  CoreFoundation  lib/libitkgdcmjpeg8-5.0.a  lib/libitkgdcmjpeg12-5.0.a  lib/libitkgdcmjpeg16-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libopenjp2.a  lib/libitkgdcmcharls-5.0.a  lib/libitkgdcmuuid-5.0.a  lib/libITKIOGIPL-5.0.a  lib/libITKIOJPEG-5.0.a  lib/libITKIOMeshBYU-5.0.a  lib/libITKIOMeshFreeSurfer-5.0.a  lib/libITKIOMeshGifti-5.0.a  lib/libITKgiftiio-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libexpat.a  lib/libITKIOMeshOBJ-5.0.a  lib/libITKIOMeshOFF-5.0.a  lib/libITKIOMeshVTK-5.0.a  lib/libITKIOMeshBase-5.0.a  lib/libITKQuadEdgeMesh-5.0.a  lib/libITKMesh-5.0.a  lib/libITKIOMeta-5.0.a  lib/libITKMetaIO-5.0.a  lib/libITKIONIFTI-5.0.a  lib/libITKniftiio-5.0.a  lib/libITKznz-5.0.a  lib/libITKTransform-5.0.a  lib/libITKIONRRD-5.0.a  lib/libITKNrrdIO-5.0.a  lib/libITKIOPNG-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libpng16d.a  lib/libITKIOTIFF-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libtiffd.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/liblzmad.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libz.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libjpeg.a  lib/libITKIOVTK-5.0.a  lib/libITKIOImageBase-5.0.a  lib/libITKCommon-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libdouble-conversion.a  lib/libitksys-5.0.a  lib/libITKVNLInstantiation-5.0.a  lib/libitkvnl_algo-5.0.a  lib/libitkvnl-5.0.a  lib/libitkv3p_netlib-5.0.a  lib/libitknetlib-5.0.a  lib/libitkvcl-5.0.a  -lm  -lm && :
FAILED: bin/itkTestDriver
: && /Library/Developer/CommandLineTools/usr/bin/c++  -fPIC  -mtune=native -march=corei7 -Wall -Wcast-align -Wdisabled-optimization -Wextra -Wformat=2 -Winvalid-pch -Wno-format-nonliteral -Wpointer-arith -Wshadow -Wunused -Wwrite-strings -funit-at-a-time -Wno-strict-overflow -Wno-deprecated -Wno-invalid-offsetof -Wno-undefined-var-template -Woverloaded-virtual  -g -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -Wl,-search_paths_first -Wl,-headerpad_max_install_names -fPIE -Xlinker -pie Modules/Core/TestKernel/src/CMakeFiles/itkTestDriver.dir/itkTestDriver.cxx.o  -o bin/itkTestDriver  lib/libITKIOBMP-5.0.a  lib/libITKIOGDCM-5.0.a  lib/libITKIOGIPL-5.0.a  lib/libITKIOJPEG-5.0.a  lib/libITKIOMeshBYU-5.0.a  lib/libITKIOMeshFreeSurfer-5.0.a  lib/libITKIOMeshGifti-5.0.a  lib/libITKIOMeshOBJ-5.0.a  lib/libITKIOMeshOFF-5.0.a  lib/libITKIOMeshVTK-5.0.a  lib/libITKIOMeta-5.0.a  lib/libITKIONIFTI-5.0.a  lib/libITKIONRRD-5.0.a  lib/libITKIOPNG-5.0.a  lib/libITKIOTIFF-5.0.a  lib/libITKIOVTK-5.0.a  lib/libITKCommon-5.0.a  lib/libITKIOImageBase-5.0.a  lib/libITKTestKernel-5.0.a  lib/libITKIOBMP-5.0.a  lib/libITKIOGDCM-5.0.a  lib/libitkgdcmMSFF-5.0.a  lib/libitkgdcmDICT-5.0.a  lib/libitkgdcmIOD-5.0.a  lib/libitkgdcmDSED-5.0.a  lib/libitkgdcmCommon-5.0.a  -framework  CoreFoundation  lib/libitkgdcmjpeg8-5.0.a  lib/libitkgdcmjpeg12-5.0.a  lib/libitkgdcmjpeg16-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libopenjp2.a  lib/libitkgdcmcharls-5.0.a  lib/libitkgdcmuuid-5.0.a  lib/libITKIOGIPL-5.0.a  lib/libITKIOJPEG-5.0.a  lib/libITKIOMeshBYU-5.0.a  lib/libITKIOMeshFreeSurfer-5.0.a  lib/libITKIOMeshGifti-5.0.a  lib/libITKgiftiio-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libexpat.a  lib/libITKIOMeshOBJ-5.0.a  lib/libITKIOMeshOFF-5.0.a  lib/libITKIOMeshVTK-5.0.a  lib/libITKIOMeshBase-5.0.a  lib/libITKQuadEdgeMesh-5.0.a  lib/libITKMesh-5.0.a  lib/libITKIOMeta-5.0.a  lib/libITKMetaIO-5.0.a  lib/libITKIONIFTI-5.0.a  lib/libITKniftiio-5.0.a  lib/libITKznz-5.0.a  lib/libITKTransform-5.0.a  lib/libITKIONRRD-5.0.a  lib/libITKNrrdIO-5.0.a  lib/libITKIOPNG-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libpng16d.a  lib/libITKIOTIFF-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libtiffd.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/liblzmad.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libz.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libjpeg.a  lib/libITKIOVTK-5.0.a  lib/libITKIOImageBase-5.0.a  lib/libITKCommon-5.0.a  /Users/vagrant/Data/installed/x64-osx/debug/lib/libdouble-conversion.a  lib/libitksys-5.0.a  lib/libITKVNLInstantiation-5.0.a  lib/libitkvnl_algo-5.0.a  lib/libitkvnl-5.0.a  lib/libitkv3p_netlib-5.0.a  lib/libitknetlib-5.0.a  lib/libitkvcl-5.0.a  -lm  -lm && :
Undefined symbols for architecture x86_64:
  "gdcm::Rescaler::SetMinMaxForPixelType(double, double)", referenced from:
      itk::GDCMImageIO::Write(void const*) in libITKIOGDCM-5.0.a(itkGDCMImageIO.cxx.o)
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
ninja: build stopped: subcommand failed.

@strega-nil, could you help merge this PR firstly?

Thank you @JackBoosY, @PhoebeHui, and @strega-nil!
Looking forward to this being fixed as our CI chain has been down since this started, so test results are also down, and that's a pre-req for merging code. Talk about dominoes eh? Thank you again!

This has affecting lots of projects now, as as zlib is perhaps one of the most commonly linked base packages. This is revealing how critical vspkg actually is to commercial and open source projects:

Curl
Boost
BZip2
Cairo
OpenCV
Microsoft Azure Storage
GlibMM
LibFFI
Microsoft Windows 2016 image generation
Fmt
GitHub VM infrastructure
Find

Once its fixed, hopefully some test cases can be added as hard gates in your CI chain to catch this going forward. Thank you!

@kcgen thank you for being invested in vcpkg; hopefully, this fixes this issue. I'm not sure how to test this well, since it was caused by an update to CMake; we should look into that.

Thank you @strega-nil ! Yes; I wonder if testing the installation of some known-stable packages that rely on cmake would catch it.
For example, vspkg install zlib: would that pull in new updates to CMake (and fail hard), similar to how the recent updates broke in this issue?

it was caused by an update to CMake

there is a PR in which CMake 3.18 is already tested, it should highlight any remaining problem #12612

would that pull in new updates to CMake (and fail hard), similar to how the recent updates broke in this issue?

no, vcpkg is still using cmake 3.17 internally if not found on the system. #12612 will upgrade it

Thanks @cenit; that explains the difficulty in avoiding this exact issue from happening again in the future, like @strega-nil noted.

July 31st - Vcpkg updated to internally use cmake 3.18
Aug 1st - vcpkg users w/ cmake 1.18  installed rejoice that vcpkg works again.
Aug 2nd - cmake 1.19 is released, and those same users upgrade.
Aug 2nd - vcpkg again starts using the host cmake instead of it's internal version, and again starts falling over because something's changed in 1.19.
User issues pour into vxpkg, and it's another scramble for a week to sort through it.

I suggest two changes to address this:

Only use the host-installed cmake if it's version is equal to or less than vxpkg's internal (proven-tested) version.
Provide a command line flag to ignore that safety rule, so users can still force vcpkg to try the host-installed cmake even if it's beyond the proven-tested version.

Another way would be to review scripts: this REQUIRED keyword was really misplaced from the beginning for WIN32, since this line was supposed to fail there...

Only use the host-installed cmake if it's version is equal to or less than vxpkg's internal (proven-tested) version.

Sounds good. But it will also change how Azure DevOps VM image builder works.  They need to install cmake and vcpkg together, and ensure cmake version matches.

For the update of these tools, we should add a test port pkgconfig-test to the dependencies of the ports that use them. When these tools are updated, update the version of this test port to test all affected ports.

@JackBoosY this is no longer required since script changes rebuilds all affected ports. The CI logic was changed before the PR was merged and it was tested with all affected ports!  The problem here is that vcpkg is not testing with the newest cmake version and it thus "slipped" through CI.

Also, now there is no failure in case pkg-config is not found, on Linux/macOS...

@cenit is that a problem for you? For me it is theoretically enough if the check is run in the VCPKG CI (or if you do something similar)

It's just for user experience


Branding dataframe reprs

This may be a weird design comment.
It seems that everyone is using dataframes to visualize there data.  At quick glance, all dataframe reprs look similar.  It would be nice to provide some differentiation between different classes that provide dataframes.  Dask already considers with the markdown header.
The image below shows the current dask repr and a modified version.  In general, I rarely see the table header populated in a dataframe repr.  The modified repr replaces this cell with the dask logo and a link to the dataframe documentation.

Please feel free to dismiss this suggestion. But, I thought it looked snazzy.

Seems like a sensible approach.  No strong thoughts from me either way.


Add CORS headers to API endpoint

I tried to access an API endpoint (https://www.beatsavior.io/api/livescores/player/) from the browser, but the request was denied. Server response does not contains required CORS headers.
Could you consider adding
access-control-allow-origin: *

header to the server response?

Hello,
I am not the one making the website and API, but I'll transfer your request to Neurosis. The best place for this kind of suggestion is on our discord, where we are both present : https://discord.gg/tNBWdeA


Update free-courses-en.md

Updated tutorials for Java, R, SQL
What does this PR do?
Add Resources | Add info | Improve Repo
For resources
Updated tutorials for Java, R, SQL
Why is this valuable (or not)
The updated tutorials are regarding the most used languages in the current scenario.
How do we know it's really free?
The video links are provided from YouTube and the channels are absolutely free.
For book lists, is it a book?
No, it's not a book, they are video lectures.
Checklist:

[x] Not a duplicate
[x] Included author(s) if appropriate
[x] Lists are in alphabetical order
[x] Needed indications added (PDF, access notes, under construction)

see comment on #3737

see comment on #3737

Sir, this includes complete video tutorials from freeCodeCamp as well as Edureka and video length is usually from 6-8 hours.

Unsubscribe me thank you
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On 1 Oct 2020, at 10:54 PM, Manvitha<EMAIL_ADDRESS>wrote:

@saimanvitha02 commented on this pull request.
Sir, have updated according to #3737. Kindly check if anything else is to be added.
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Add 'Alpha' banner and provide link for user feedback

Smart survey?

Should be able to pull through the right banner using nunjucks snippet here https://design-system.service.gov.uk/components/phase-banner/

Have requested survey from research ops


Correctly evaluate If-None-Match header

Only send ETag and 304 for GET/HEAD.
This closes #2082

Pull Request Test Coverage Report for Build 5286

11 of 36 (30.56%)  changed or added relevant lines in 1 file are covered.
2 unchanged lines in 1 file lost coverage.
Overall coverage decreased (-0.002%) to 55.663%

Changes Missing Coverage
Covered Lines
Changed/Added Lines
%

bundle/src/main/java/com/adobe/acs/commons/etag/impl/EtagMessageDigestServletFilter.java
11
36
30.56%

Files with Coverage Reduction
New Missed Lines
%

bundle/src/main/java/com/adobe/acs/commons/etag/impl/EtagMessageDigestServletFilter.java
2
50.55%

Totals

Change from base Build 5280:
-0.002%

Covered Lines:
15068

Relevant Lines:
27070

💛  - Coveralls


Angular 6 and rxjs 6 support

....
ERROR in ./node_modules/ngx-breadcrumbs/ngx-breadcrumbs/ngx-breadcrumbs.es5.js
Module not found: Error: Can't resolve 'rxjs/BehaviorSubject' in '/Users/marvinheilemann/Documents/Projects/M8FINDER/www/application/client/node_modules/ngx-breadcrumbs/ngx-breadcrumbs'
....

Meanwhile, you can and must install rxjs-compat package, which is also a new dependency for Angular 6 at the moment to maintain compatibility with rxJS 6.x branch. This should fix the issue you have.

+1 and waiting for the update with angular 6 and rxjs 6 support

It's rxjs@6 issue. There was some breaking changes.
If You install npm install rxjs-compat@6 --save all should work.
It's temporary solution and we're waiting form module update.