text:
Values on fields are not being updated real-time.

I still need to hit the full calculate button to calculate the changes on the amounts of the fields. Can you please advise on how to automate the calculation in real-time. Below is the screenshot for reference.Thank you.

@kelfjrd please direct "how to use" questions to the Trailblazer Community Group, thank you.
Before you go, It looks like you'd need to add Stage__c to the Relationship Criteria Fields to instruct DLRS to react to changes in that field.

I already put the stage= Closed Won in the relationship criteria and it still does not work. That is the reason I raise a case here.

authors: aheber kelfjrd


text:
Rollup should only execute DML if it would change the parent's value

Added specific tests to validate these features on both realtime and scheduled mode jobs.
Other tests updates reflect behavior differences in limit counts due to this feature.
Critical Changes
Changes
Issues Closed

Fixes #1269

source: gharchive/pull-request

license_type: permissive

license_source: github-api


text:
Add buttons to shop

Is your feature request related to a problem? Please describe.
Discord is modernizing. Using interactions and components to interact with things is the convention. Typing a command just to view the shop items and another command just to buy one is a reasonable approach, but it can be made more modern with buttons. Therefore, this issue addresses the need for it.
Describe the solution you'd like
You will be able to view the shop and buy items straight from a single command, no need to retype another command just to buy that item. This essentially will work the same way and style to Dank Memer except without the rotating items (yet) and the rendered image backgrounds.
The user views the shop and they can see the price, cost and name of the item all in one place. They can also buy the item by clicking the corresponding button. The shop menu is paginated so this also needs to be taken into consideration, by determining when to display the buttons.

There can only be 3 buttons per row
There can only be 6 buttons in total. Meaning 6 items per page
The button will display both the name of the item and it's emoji
Clicking a button will send a modal asking the user to enter the quantity of said item they wish to purchase
Ask the user if they wish to use a coupon before making the purchase (when the logic for this is built)
Confirm with the user if they wish to continue this purchase (already implemented)

Describe alternatives you've considered
None.
Additional context
See the screenshots below.

This is currently on the top of our priority list to implement

source: gharchive/issue

license: MIT


text:
adding solution for Making File Names Unique

Pull Request Template
What have you Changed(must)
added code
Issue no.(must) - #1445
Pr will be close and marked as spam. If issue number not found or issue was assigned to someone else.
Marking as spam can block your account from HacktoberFest.
Self Check(Tick After Making pull Request)

[x] This issue was assigned to me if not it will be marked as spam.
[x] My file is in the proper folder
[x] I am following clean code and Documentation.
[x] I have added the title and what program will do first in the file
[x] I have named the file as (Problem #). (Problem Title(in Camel Case)).(extension)
ex. 2. AddToNumbers.py

README - How to Contribute

@PraneshUlleri  Please make the necessary changes within a week else this PR will be closed.

repo: SHY-Corp/LeetCode-Solutions


text:
🛑 Website is down

In acef4f7, Website (ELTeam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Website is back up in b85ab53 after 17 minutes.

repo: SIRMaxis/uptime-robot


text:
🛑 Website is down

In a99ece1, Website (ELTeam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Website is back up in 81528d1 after 8 minutes.


text:
🛑 DNS1.electro is down

In 75149f0, DNS1.electro (ns1.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DNS1.electro is back up in bcdf8f9 after 3 hours, 32 minutes.


text:
🛑 DE Server is down

In 23a78e5, DE Server (de1.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DE Server is back up in 8fad279 after 5 minutes.


text:
🛑 DNS1.electro is down

In 7483f37, DNS1.electro (ns1.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DNS1.electro is back up in badef44 after 8 minutes.


text:
🛑 DE Server is down

In 0a58ae5, DE Server (de1.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DE Server is back up in fc0f91c after 42 minutes.


text:
🛑 Website is down

In 59b9d1d, Website (ELTeam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Website is back up in 03a1403 after 1 hour, 24 minutes.


text:
🛑 DNS2.electro is down

In 4cbe0b3, DNS2.electro (ns2.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DNS2.electro is back up in 5d04a6a.


text:
🛑 DNS1.electro is down

In 03c827f, DNS1.electro (ns1.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DNS1.electro is back up in 2465bd1 after 10 minutes.


text:
🛑 DE Server is down

In 4c2369c, DE Server (de1.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DE Server is back up in bd91a65 after 2 hours, 52 minutes.


text:
相机的快门模式

想问一下所有相机都是全局快门吗

d435i是卷帘快门

authors: HarborC sjtuyinjie


text:
[Feature Discussion] Wannier90 support

One more issue/PR after this one!
(TL;DR at the bottom)
I've been doing some work with Wannier90 lately and didn't want to plot without my favorite package, so I have been working on implementing Wannier90 support. I think it makes the most sense to make that a pymatgen namespace package that provides all the data types Sumo works with (structures, lattices, band structures, etc.), just like pymatgen.io.espresso. This gives the package room to grow and decouples the development from sumo (I currently only plan to implement the stuff sumo needs, other features will come later.)
I have more or less already written the core of the package, and it works perfectly with SBSPlotter. I just need to implement the CLI, it will involve minimal changes like the proposed Quantum ESPRESSO support. The only new thing I want to implement is an option to automatically add the Wannierization windows (outer window and inner/frozen windows) to the plot. It's a lot easier to tweak the windows in the calculation and analyze the match/mismatch of bands when you can actually see them with your bands.
I'm thinking of a --show-windows flag to sumo-bandplot (or something along those lines), and using the new **kwargs implemented in draw_themed_line.
Here's an example using the comparison feature I've been working on (the top dashed line is the max energy of the frozen window).

TL;DR I'm opening this issue to solicit feedback. This feature will only require minimal changes to sumo, all the parsing will be done by a separate package.

This seems reasonable. Will it be easy to test?

I guess most of the unit tests would sit in whatever package I end up writing to handle the actual parsing of the Wannier90 calculations, it would be an identical situation to the proposed Quantum ESPRESSO support. I guess it would be tested the same way sumo would test plotting from any other code, but I don't think there are any plotting-specific unit tests in sumo right now.
(I actually have no idea how to write plotting-specific unit tests, Julia's Plots.jl has this idea of plotting recipes that I used when unit testing Julia plots, but I don't know if matplotlib has anything similar).

Plot testing is really hard! There is at least one package out there for matplotlib that tries to normalise the less predictable parameters (screen resolution etc), save images and then compare them.
For Sumo tests we don't render the plot but have a poke around the ax.lines etc. to see if the data looks correct.
As more code interfaces are added it doesn't make sense to test the actual plots; we should just check the data that makes it to a plotter.

authors: ajjackson oashour

repo: SMTG-UCL/sumo


text:
Rewards screen layout addition #39

Addressing issue #39, added some more base layout into the rewards screen

Layout and design looks great! I noticed that all the UI elements are currently ungrouped in the root AnchorPane as shown in this screenshot of the tree:

Perhaps you can group each title (e.g: Achievements completed) and the white box into its own Pane, then use a VBox to vertically align those three Pane groups.
Also I'm guessing the white Rectangles represent where we will write the corresponding values to, so we can include a Label component (with IDs, e.g: streakLabel) inside those groups as well.
Great basis for displaying reward information


text:
Stopped consuming messages after system restart

I have default kafka setup (except logs moved to normal directory instead of /tmp). After system (normal) restart consumer in my code stopped getting any messages from the topic. The code is pretty simple (sorry for generator):
const connectionString = `${config.host}:${config.port}/`;
const client = new kafka.Client(connectionString, 'something');

client.on('error', err => {
  console.log(err);
});
yield client.on('ready', suspend.resume());

const producer = new kafka.Producer(client);
yield producer.createTopics(['something'], suspend.resume());
const consumer = new kafka.Consumer(client, [{topic: 'something'}]);

consumer.on('message', payload => {
  // stopped working
});

I've tried to restart kafka and zookeeper but nothing helps. Via kafka's consumer script I can approve that it receives all messages itself.
Is there a way to debug the stuff or something? What is the best place to start.

This module uses the debug module so you can just run below before starting your app.
export DEBUG=kafka-node:*

I tried to, but there's no any debug output from kafka-node

My example should work iIf you are on a mac/linux environment. Double check the documentation for activating debug is appropriate for your OS.

authors: glenswift hyperlink

repo: SOHU-Co/kafka-node

license: mit

license_source: bigquery


text:
Implement a function foodNeededToStay(currentHP, HPLevel), foodNeededToLevelUp(currentHP, HPLevel) in baseagent

Right now, we have access to levelWidth, HPLevel etc but not a direct value for the amount of food we need to stay at a given level or to go up one level knowing the exact currentHP and HPLevel. The agents would have to compute this information themselves for now.
It would be good to have these 2 functions implemented in baseagent.go, so that they are directly available to the agents

Worth doing this once PR #62 is accepted

Closed by #167.

authors: MattScottEEE jzzheng22 mdubied


text:
Feat/migrate driving school

Bonjour la team,
Je n'avais pas eu l'occasion de tester le soz-core avant mon départ cet été. J'ai voulu tester la chose en faisant le portage de la resource soz-driving-school (originellement écrite en lua) vers soz-core.
Je mets quelques commentaires dans cette PR pour valider mes choix d’implémentation.
Fonctionnellement, la feature est identique à l’originale. À une exception près : j’ai déplacé le checkpoint de la fourrière, de l’ancien emplacement de la fourrière vers l’emplacement actuel.
Je me suis noté quelques améliorations possibles, que je soumettrais ultérieurement (dans un issue [improvement], coucou @NariieL)

Your improvement cannot be taken in consideration at the moment.
🚂 You must first open an improvement proposal using the "Improvement" template available in the Issues.

<3

Pour info ca a été mergé il y a pas mal de temps chez nous avec qques ajustements et c'est maintenant bien dispo dans l'opensource, merci beaucoup @lanahrone pour tout le taff ❤

authors: NariieL joelwurtz lanahrone

repo: SOZ-Faut-etre-Sub/SOZ-FiveM-Server


text:
New files aren't added to the cache when they're copied into the workspace

I copied a folder with several functions in it (instead of creating them one by one) and they were not recognized as part of the workspace. The extension assumed they were not defined and could not auto-complete the folder name in function commands.
I tried reloading the window/extensions to see if the extensions would do some sort of re-scan, but the issue persisted. I then tried deleting the cache file so the extension would be forced to regenerate it, which fixed the issue.
Is it possible to make the extension scan over the cache and compare it with the actual directory structure? Perhaps on-demand with a certain event or keyboard shortcut for the few cases when it does occur, instead of costing performance overall. Or maybe VSCode/LSP offers some kind of "file copied" event hook? (Although the latter might not solve cases where the file/folder was copied from outside of VSCode...)

To be honest, the extension should add all unknown files to cache when starting. Not sure where's the problem, but I will try to fix it.
And yes, I will try my best to make it never happen again to reload the window just because of the silly cache file not updating.

:tada: This issue has been resolved in version 1.10.4 :tada:
The release is available on:

npm package (@latest dist-tag)
Visual Studio Marketplace
GitHub release

Your semantic-release bot :package::rocket:

authors: Arcensoth SPGoding

repo: SPGoding/datapack-language-server


text:
Duplicate single-use selector arguments don't result in an error

Try write this execute as @a[scores={test=1},scores={test_two=2},] run say test and it didn't show up an error. Also you can autocomplete it

Updated title as this is also the case for other single-use arguments such as type and distance

Updated title as this is also the case for other single-use arguments such as type and distance

authors: MulverineX barraIhsan

repo: SPYGlassMC/SPYGlass


text:
added my project

File updated

Problem about differences in file contents


text:
Stop SSWConsulting/SSW.Rules.Content from syncing to SSW.Rules Azure DevOps board

Cc: @bradystroud @pierssinclairssw @adamcogan @tiagov8
To: @JackLeerson

Remove the GitHub action that is syncing SSW.Rules.Content issues to the SSW.Rules Azure DevOps. This is cluttering up our board and is not completed by us.
Delete existing items in the SSW.Rules backlog
Clean up categories in backlog

-Jack
AB#60607

@JackLeerson @bradystroud @adamcogan @pierssinclairssw
Hi all,
Done - prevented content from syncing to the Rules Azure DevOps board, and cleaned up backlog.


text:
Simple receive_buffer example.

Hi!
Is it possible to have a small example on how does the receive_buffer work?

Raffaele, the main example is this one https://github.com/STEllAR-GROUP/hpx/blob/424334a0a36a56cbc2d9cd0a6db67030928d789d/examples/1d_stencil/1d_stencil_8.cpp but I'll create a simpler one. What is the data structure that you exchange between nodes - just a simple array of doubles, or is there a more complex type wrapped around it?

Raffaele, the main example is this one https://github.com/STEllAR-GROUP/hpx/blob/424334a0a36a56cbc2d9cd0a6db67030928d789d/examples/1d_stencil/1d_stencil_8.cpp but I'll create a simpler one. What is the data structure that you exchange between nodes - just a simple array of doubles, or is there a more complex type wrapped around it?

I exchange just a simple array of double or complex (which is also an array of doubles).

@rasolca Please see #2188 for the example you asked for. Please let us know if that resolves you issue.

Yes, the example is what I was asking for. Thanks.

authors: biddisco hkaiser rasolca

repo: STEllAR-GROUP/hpx


text:
Rename distributed_executors module

For consistency this module should be named executors_distributed. I'm not sure if this should still be done before the release as it might avoid having another set of forwarding headers later...

Good catch! Yes, we should still do this before the release.

authors: hkaiser msimberg


text:
Adapt datapar fill

Proposed Changes

Convert sequential_fill to CPO.
Adapt datapar fill.
Adapt datapar fill unit tests.

Any background context you want to provide?
#2333

Can one of the admins verify this patch?

add to whitelist

@hkaiser Np :) thanks!

authors: jenkins-cscs msimberg srinivasyadav18


text:
🛑 SPCast / Loadbalancer is down

In a3152ec, SPCast / Loadbalancer (https://loadbalancer.sp.radio.fm/) was down:

HTTP code: 0
Response time: 0 ms

Resolved: SPCast / Loadbalancer is back up in 079679e after 10 minutes.


text:
Changing backbone to resnet18

Hello, how do I modify the code to use the resnet18 backbone? I have already downloaded the pth file from pytorch.

in your config,
BACKBONE:
    TYPE: "resnet18"
    KWARGS:
        used_layers: [0, 1, 2, 3]

repo: STVIR/pysot


text:
Fix vetting locations and email templates

Note that the concept of a VettingLocation will have to go in the near future, as RaLocations and RegistrationAuthorityCredentials are clearly distinguishable concepts that do not need to be unified in this manner.

:+1:

authors: DRvanR arothuis

repo: SURFnet/Stepup-Middleware


text:
Extend scenario 2a

Extend scenario 2a to use the both linuxbridge and ovs with vlan + vxlan neutron drivers.

These changes were tested here and here (linuxbridge, vlan)

repo: SUSE-Cloud/automation


text:
jenkins: allow trigger jobs to run on other cloud trigger nodes

to allow having more than one, allowing for easy maintenance
When this is merged and deployed, we can enable again
https://ci.suse.de/computer/cloud-swarm-p1cloudtrigger/

approved for now - but please lets add the test case later

authors: bmwiedemann jdsn


text:
ci: add linting for playbooks in the pipeline

Will trigger an ansible-lint run if we detect changes under the
playbooks dir

the when should execute correctly as we can see the changes properly in jenkins, it should detect that something has changed there and run the step. We should probably do the same for the docs :)

the when should execute correctly as we can see the changes properly in jenkins, it should detect that something has changed there and run the step. We should probably do the same for the docs :)

For docs we should be only running the docs jobs if it's a docs only change to also save resources.

For docs we should be only running the docs jobs if it's a docs only change to also save resources.

Yep, I was trying to imply that, sorry for not making it clearer!

@Itxaka you sould change something in tox.ini or playbooks/ to actually trigger the build step :)

@Itxaka you sould change something in tox.ini or playbooks/ to actually trigger the build step :)

Already done :P
https://github.com/SUSE-Cloud/socok8s/pull/445 and https://github.com/SUSE-Cloud/socok8s/pull/446

did not work :(

14:00:50  Warning, empty changelog. Probably because this is the first build.
¬_¬ so on first build there is no way of checking what has changed? what?

opened since 2009.... https://issues.jenkins-ci.org/browse/JENKINS-4162

we need tox in those nodes, not sure where to do that or request that :/

we need tox in those nodes, not sure where to do that or request that :/

you can ask me :) But it seems to be already installed ....

you can ask me :) But it seems to be already installed ....

woops, yeah I installed it yesterday with @jhesketh help :)
And the job went green as well (at least the linting part)

authors: Itxaka evrardjp toabctl


text:
packaging: fixed an issue with slashes on sed

In particular, when performing sed on NODEJS_BUILD_PROVIDES, it may not
work properly because sometimes it contained slashes in it and
substitution failed.
Signed-off-by: Miquel Sabaté Solà msabate@suse.com

This is a small issue I found when fixing the broken build :sweat_smile:

repo: SUSE/Portus


text:
lib/tasks: added a task to create users

See issues #179 and #283
Signed-off-by: Miquel Sabaté Solà msabate@suse.com

LGTM

authors: flavio mssola


text:
change filename of output from kubecf-.tgz to cap-.tgz

Correct the bundle filename from kubecf-.tgz to cap-.tgz

We renamed the latest published tarball to match this regexp, so jobs will have something to consume if when we fly this right after merging.

Reflown pipelines from master to consume the PR:
./create_pipeline.sh concourse.suse.dev cap-release
./create_pipeline.sh concourse.suse.dev cap-pre-release

authors: dragonchaser viccuad

repo: SUSE/cap


text:
🛑 ASEELAPP is down

In b9fbbc6, ASEELAPP (https://aseelapp.com) was down:

HTTP code: 503
Response time: 4353 ms

Resolved: ASEELAPP is back up in f95ed25.

repo: Saboor-Hakimi/upptime


text:
[IBCPDE-934] Handle non-Docker submissions in model2data

problem
The pipeline should propagate the error when a user accidentally submits anything other than a Docker submission for Task 1, rather than breaking in the backend.
solution
Remove raise ValueError in get_submission_image and instead pass it on as a string the same way other anticipated errors get passed on through the workflow, so that it ends up with the user.
testing & preview
https://tower-dev.sagebionetworks.org/orgs/Sage-Bionetworks/workspaces/example-dev-project/watch/5HhuuTlUamxp5B
https://tower-dev.sagebionetworks.org/orgs/Sage-Bionetworks/workspaces/example-dev-project/watch/qHkFwe4KP1JzP

Newest run: https://tower-dev.sagebionetworks.org/orgs/Sage-Bionetworks/workspaces/example-dev-project/watch/qHkFwe4KP1JzP

Here is the latest run, with the new error message output:

Merging this now


text:
Add logic to skip already-indexed files

A major use case of mine for this workflow is to index files in non-tower buckets that are attached to Synapse. Using a workflow like this is much more time efficient and less babysitting than indexing using on a single EC2 instance, especially as datasets get large (>1TB).
However, occasionally I've had to re-run this workflow multiple times on the same bucket when additional data has been added. This means the entire bucket gets re-downloaded and indexed when running the workflow. It would be helpful to have one or both of the following features to make this more time and cost efficient:

add a modified / created parameter that skips re-indexing any files that are prior to the date entered in the param
add an option to skip any S3 keys that are already in the target synapse project/folder

Hi @allaway just linking the Jira ticket that we have tracking this issue: https://sagebionetworks.jira.com/browse/IBCDPE-692

authors: BWMac allaway

repo: Sage-Bionetworks-Workflows/nf-synapse


text:
🛑 Nostr Relay - wss://relay.nostr.scot is down

In ba2d8d3, Nostr Relay - wss://relay.nostr.scot (https://relay.nostr.scot) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Nostr Relay - wss://relay.nostr.scot is back up in 4b75977.

repo: Sakhalinfox/orangepilldevuptime


text:
🛑 Nostr Relay - wss://nostr-pub.wellorder.net is down

In 2ecf305, Nostr Relay - wss://nostr-pub.wellorder.net (https://nostr-pub.wellorder.net) was down:

HTTP code: 503
Response time: 10337 ms

Resolved: Nostr Relay - wss://nostr-pub.wellorder.net is back up in 0a6e0d1 after 15 minutes.


text:
Fixing "#" in "C#"

Used the HTML entity since markdown reserves #

Thanks!

authors: SalGnt SamTwining

repo: SalGnt/cscs


text:
cant get in exetensions

i have done all the steps but when it comes to the exestention i chrome it fails

Solved elsewhere

repo: Salama/bonk-vtol


text:
Grant Content Kit - FLS/CRUD

OVERVIEW
Resolve FLS/CRUD
ACCEPTANCE CRITERIA
OUT OF SCOPE
BACKGROUND/REFERENCE

If this has been resolved can we close this issue? @cidarm

authors: cidarm iandrosov

repo: Salesforce-org-Impact-Labs/GrantGuides


text:
NPSP Data Import: Support Unique ID Matching for Household Accounts as well as Organization Accounts

Currently, if a user selects the option to match Account Unique ID on the NPSP Data Import setting page, it only functions for rows where the Account Name is populated (Organization Accounts). There have been a number of requests to support household-level unique IDs fields to help in migration from Account-centered fundraising databases where the Household was the primary record without separate contacts.

**lurch: add

Tracking W-009329

Fixed in #2446

authors: LurchTheButler judisohn

repo: SalesforceFoundation/Cumulus


text:
Merge feature/pyan/update-payment-trigger into feature/pyan/update-payment-trigger__kiet-date-validations

This pull request was automatically generated because an automated merge hit a merge conflict

Will delete this branch as the child one has all the changes and has been merged

authors: mrbelvedere patrick-yan-sf


text:
Fix for Updating Worldpay VAP RD commitments

Critical Changes
Changes
Issues Closed
Community Ideas Delivered
Features Intended for Future Release
Features for Elevate Customers
New Metadata
Deleted Metadata

Fixes are included in #6884

repo: SalesforceFoundation/NPSP


text:
CompositeTypeToken problem

class KodeinTest {

    open class A<S>

    open class B<X> : A<X>()

    class C : B<String>()

    @Test
    fun test() {
        val t = CompositeTypeToken<B<String>>(erased(), TT(String::class.java))
        println(t.simpleDispString())
        val kodein = Kodein {
            bind<B<String>>() with provider { C() }
        }
        kodein.Instance<B<String>>(t)
    }
}

But I failed to retrieve an instance by composite type token
com.github.salomonbrys.kodein.Kodein$NotFoundException: No provider found for bind<KodeinTest.B<String>>() with ? { ? }
Registered in Kodein:
        bind<KodeinTest.B<String>>() with provider { KodeinTest.C }
	at com.github.salomonbrys.kodein.KodeinContainer$DefaultImpls._notFoundException(KodeinContainer.kt:32)
	at com.github.salomonbrys.kodein.KodeinContainer$DefaultImpls.nonNullProvider(KodeinContainer.kt:75)
	at com.github.salomonbrys.kodein.internal.KodeinContainerImpl.nonNullProvider(KodeinContainerImpl.kt:17)
	at com.github.salomonbrys.kodein.Kodein$DefaultImpls.Instance(Kodein.kt:396)
	at com.github.salomonbrys.kodein.internal.KodeinImpl.Instance(KodeinImpl.kt:13)
	at com.github.salomonbrys.kodein.Kodein$DefaultImpls.Instance$default(Kodein.kt:396)
	at cn.org.cicada.mobile.ui.KodeinTest.test(KodeinTest.kt:24)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
	at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
	at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
	at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
	at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
	at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
	at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
	at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
	at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
	at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
	at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
	at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
	at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:117)
	at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:42)
	at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:262)
	at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:84)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

You must understand that composite type tokens are used only manually.
When you use bind<B>() with provider { C() }, it will bind to:

An automatically defined ParameterizedType if you are using regular (generic-able) Kodein.
T::class.java if you are using Kodein-erased.

If you want to bind with a CompositeTypeToken, you must do it manually:
val kodein = Kodein {
    Bind(t) with provider { C() }
}

TypeTokens cannot be automatic, they exist to allow generic binding in an erased environment, and therefore cannot, by essence, be created by the compiler.
By the way, you should declare the token like this (easier syntax):
val t = erasedComp1<B<String>, String>()

authors: SalomonBrys salongbass

repo: SalomonBrys/Kodein


text:
Use S3 storage to save files sent to the bot.

What?

[ ] Connect S3 (possibly Digital Ocean Spaces) using e.g. boto3 or rather aioboto3.
[ ] Save images sent to bot to S3. Possibly using a Middleware.
[ ] [Optional but preferred] Save the images' UUID4s (or similar) to the Database so that in the database we have a full local copy of an ad.

Why?

To have a list of all the images sent to the bot, in case someone is trying to abuse it, we can track the bad actor.
To possibly allow for a web-interface and/or different mediums, including different mediums in terms or payments.

Anything else?
I would argue for using async version of boto3 - aioboto3 (or analogs) because uploading an image to S3 is a heavy I/O-bound operation and having it be done async is a great plus.

If it is not urgent, I will be glad to take this issue

authors: avenortoz mykolasolodukha


text:
URL value for set-servicenowauth

You might want to provide some more clarity in the msg response.  I initially assumed you wanted the full URL "https://xxxxx.service-now.com/" and ultimately it was just the DNS.  Not trying to nit-pick, but I know I would have found it useful.  I parsed through the modules to find the use of the $url variable and figured it out, so its not anything major.  Hopefully this is useful feedback.
I love the module btw, its really useful!

I actually did the same thing, or just simply provide an example on the readme page for how to use the URL parameter for the Set-ServiceNowAuth.
Great module! Just started looking at it as i'm doing a integration between SCOM and servicenow, i think you just saved me many many hours of work 👍

Is there a way to get this working with an instance that has SAML Single Sign-On enabled? We are using the MultiProvider SSO plugin and have an integration with SAML for logins. We had this working previously before we enabled SSO. However, now that we enabled SSO we are getting 401 Unauthorized when attempting to login now. We attempted to use the 'side_door' login page that ServiceNow provides for bypassing the SSO to login to a local account but that still doesn't seem to work. "Set-ServiceNowAuth -url example.service-now.com/side_door.do"

repo: Sam-Martin/servicenow-powershell


text:
Added @key attribute to MatTable table row

To prevent rendering errors when diffing the dom tree.

Thank you for your contribution 👍!

authors: SamProf plebnz

repo: SamProf/MatBlazor


text:
Consistent backend interface with documentation

Special attention when reviewing should be paid to the methods that were made private or removed on each backend implementation. When reviewing, taking each commit one at a time may be helpful.

Do we need the giant indenting change? also the huge change in formatting makes it super hard to pick up on non indenting changes.

@SamSaffron The indenting change is all in the first commit. If you review the commits one by one, it's easy to follow what's going on. The indenting is in order to use the style of module/class declaration (nested) that the Ruby community understands as preferred.

👍  on all 3 of Jeremy's points.
I also worry about exact duplicate documentation it will go out of sync, I think you can have links in documentation for yard so just use that .
Once we get these points addressed I am happy to merge this in.

Done. I opted for raising a custom exception because otherwise I don't have a good way to test compliance with the interface.
Done (see https://github.com/lsegal/yard/issues/720 for details).
Done.

Will merge this then.

authors: SamSaffron benlangfeld


text:
Optimize the time it takes for the AI to play (4.2 edition)

This wasn't a problem before, but now that there's a random world generator that can create larger maps, on those maps, the AI wait times are very very bad.
I think in particular I saw in the profiler that there's a lot of time spent looking for armies in a province. But there's other candidate functions to look at too.
As an objective, I'd like to see the wait time on a 80x48 grid with 100 countries be less than one second (from the end of your turn to the start of your next turn). This feels like a lot to ask, but when you look at the existing grand strategy games, no it's not.

Here is the profiler info on a frame where we receive an AI's actions.
This gives good insight on which functions need changes. The big bad guy is Armies.armies_in_province.

By the way, I believe the Army.province function is called not 2697 times, but more like 2_697_000 times. It's called by Armies.armies_in_province once for each army, and that function is called once for each province, so you do 3840 (the number of provs) times 700 (the number of armies, seven per country because this is the hex grid map on turn 2) equals 2_688_000.
But really, this function is a one liner that directly returns a private variable. The real culprit here is still Armies.armies_in_province.
That means Armies.armies_in_province actually takes 268.4 + 166.34 = 434.74ms. That's 86% of the entire lag time.

(See 2624dae)
The game now keeps track of which armies are in a province, for performance reasons.
The wait time went down from ~500ms to around ~100ms. About 80% of the lag is gone with just this commit.
Also I just found out there's more bad code that I didn't notice before because it only happens at the start of a (game) turn. Particularly, the code that gives a new unique army id is extremely slow.

Implemented a unique id system (see #222). Getting new unique ids doesn't seem to be causing any slowdowns now.
I think the next big slowdown to take care of is whenever an army is added to the game, every single ArmiesInProvince reacts to the event. So when at the start of the turn the reinforcements add an army in all provinces, ArmiesInProvince._on_army_added is called once for each province for each army, so in the end it's called millions of times.
The solution is probably to do something like this: when an army is added, you catch the signal only once. In the event function, you do army.province().armies.add(army). It's a bit ugly, I admit. Might have to think about it a bit more.

I'm done with ArmiesInProvince.
Next up, I need to rework ProvinceVisualsContainer2D.

Here's where we're at now :)

As for the AI, the vast majority of the wait time is because of these functions:
Army.province: 46%
Armies.active_armies: 20%
TestAI2.actions: 15%
Provinces.provinces_of_country: 10%
Province.@owner_country_getter: 3%
DiplomacyRelationships.with_country: 2%

Great progress today. Now the total wait time on turn 1 is ~10s and on turn 2 it's ~15s. I'll come back with more profiler data tomorrow

From here on I'll just profile the time between the end of your turn and the start of your next turn, with the AI running in the main thread.

The main culprits:
TestAI2.actions: 41%
ProvinceOwnershipUpdate._update_ownership: 8%
DiplomacyRelationship.get_data_recursive: 7%
ProvinceVisuals2D.add_army: 5%
GameTurn._end_player_turn: 3%
DiplomacyRelationship._get_data: 3%
DiplomacyRelationship._preset_id: 3%
AIDecisionUtils.strength_of_countries: 3%
Provinces.province_from_id: 3%
DiplomacyRelationships.with_country: 2%
Armies.army_from_id: 2%
Countries.country_from_id: 2%
DiplomacyPresets.preset_from_id: 2%

We are down to...
Turn 1: 8 seconds
Turn 2: 14 seconds
Turn 3: 19 seconds

I've been playing a normal game on the hex grid, and after 15+ turns there's a LOT of lag for a select few countries. I think it's because those countries are sending out armies far away from home, which makes them have a lot of individual armies. For each army, they have to calculate the shortest path to their goal. The pathfinding takes a long time because the goal is far away, and then the pathfinding is called tons of times because there's tons of armies.
Here's something that might be much faster.
Instead of pathfinding from the start point to the goal, maybe we should start from the goal and branch out until every province has been path'd. Each province would be assigned a branch in some dictionary. Then once the pathfinding is done you just reuse this dictionary for each army. So now the pathfinding takes a bit longer because you path all the provinces, but, you only need to do it once instead of potentially 100+ times.
Also, I could keep the current algorithm and use that one when the number of armies is low, and use the new algorithm when the number of armies is high.

I'll implement the idea in previous comment and then I think I'll close this issue and move on. The wait time is good enough for now...

Here's some fun data. It's the wait time in seconds for each turn:
New pathfinding
11.5
15.5
22.5
28.5
32.5
35   turn 6
37.5
39
40
41
42   turn 11
43.5
44
44
45.5

Old pathfinding
7.5
12
18
24
29
36   <- worse starting on turn 6
46.5
50.5
55.5
59.5

The new algorithm, as expected, is slower on the first few turns, but becomes much better afterwards.
So what if we want the best of both worlds? Here's the answer:
Use new pathfinding when you have 50 or more armies, otherwise use old pathfinding
7.5
12
19
25
30
34   turn 6
37
39
39.5
41

40 seconds of wait time each turn is still painful but I need to move on for now

repo: SamTheBlow/grand-strategy-game


text:
enable mipmapping in texture parameters

it sets mipmap filtering mode to GL_LINEAR_MIPMAP_NEAREST in default texparams. It checks whether texture is compressed or not.

@NolaDonato please review. not sure detecting of compressed textures is done efficiently. Also for asset loader from assimp I updated loadTexture().

Breaks gvr-3dcursor and probably others

i have another different fix, should I open another or force update this one?

Open another

From: roshanch notifications@github.com
Sent: Friday, October 13, 2017 3:44 PM
To: Samsung/GearVRf
Cc: Subscribed
Subject: Re: [Samsung/GearVRf] enable mipmapping in texture parameters (#1533)
i have another different fix, should I open another or force update this one?

You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHubhttps://github.com/Samsung/GearVRf/pull/1533#issuecomment-336584408, or mute the threadhttps://github.com/notifications/unsubscribe-auth/AUYUIhNrL2-k348SQYURe4w_ZPJ5JftGks5sr-e-gaJpZM4P31Pw.

can close this one.

authors: dnvasilev liaxim roshanch

repo: Samsung/GearVRf


text:
[OneExplorer] Multi-root workspaces

What?
Let's support multi-root workspaces
Q. Can it be simply implemented by supporting multiple workspace root directories..?

Let's Inspect Workspace Folders
No folder opened
When there is no folder opened,

vscode.workspace.workspaceFolders is [], not undefined but an empty array.
When a folder is added/removed from the workspace,
The extension is always refreshed, therefore extensions.ts runs every time.
/**
 * @brief Get Workspace root folder as string
 * @note  will throw if not working in workspace mode.
 */
export function obtainWorkspaceRoot(): string {
  const workspaceFolders = vscode.workspace.workspaceFolders;
  if (!workspaceFolders) {
    Logger.error(logTag, 'obtainWorkspaceRoot: NO workspaceFolders');
    // TODO revise message
    throw new Error('Need workspace');
  }

  // TODO support active workspace among the multiple workspaceFolders
  // TODO support multi-root workspace
  if (workspaceFolders.length > 1) {
    Balloon.info('Warning: Only the first workspace directory is currently supported');
  }
  const workspaceRoot = workspaceFolders[0].uri.path;
  if (!workspaceRoot) {
    Logger.error(logTag, 'obtainWorkspaceRoot: NO workspaceRoot');
    // TODO revise message
    throw new Error('Need workspace');
  }
  Logger.debug(logTag, 'obtainWorkspaceRoot:', workspaceRoot);

  return workspaceRoot;
}

GIF

Originally posted by @dayo09 in https://github.com/Samsung/ONE-vscode/issues/1419#issuecomment-1289903701
Done as can be seen above, by #1419

repo: Samsung/ONE-vscode


text:
[media/CircleGraph] Introduce visqMetric

This will introduce visqMetric to store metric of quantization error.
ONE-vscode-DCO-1.0-Signed-off-by: SaeHie Park saehie.park@gmail.com

from  #1387


text:
Add some more features

There are some feature, you may add to make it more usable,

ctrl + backspace should delete the previous typed characters until a space is encountered.
Statistics of your previous typing tests

Hey @kunal1234523! Thank you for the suggestions.

ctrl + backspace should delete the previous typed characters until a space is encountered.

There was an issue for this already (#18) and ctrl-w has been added already and is available in v0.4.0. ctrl-backspace could not be implemented.

Statistics of your previous typing tests

This is great idea. It has been suggested before (#11).

I could not find time to work on this in the past couple of months, so if you know some Rust, you can try contributing too!

I'm closing this issue for now since there are other issues specific to the features you requested. Feel free to open more issues if you have other suggestions!


text:
(DevOps 129) Agregar scroll a la pantalla de créditos

Agregar scroll automático a la pantalla de créditos.
Los créditos de la pantalla de créditos son muy largos, para que se vean todos se quiere agregar un controlador que haga que los créditos hagan scroll de forma automática, como en los créditos del cine, para que se acaben viendo todos.
Validar que no haya ya un script que haya eso y simplemente esté bugueado.

No se si lo implemento @Gynoid-M o si ya estaba implementado, pero está funciondo. Pendiente subir a prod


text:
bug(emoji): emoji counter not working properly on m2

From Phil:
So I tried on a m1 Mac and a m2 Mac. The m1 Mac worked great but on the M2 I had an issue of the emoji counter wouldn't show count until after you insert the emoji. The count would not clear out again until after you send another message with an emoji
https://github.com/Satellite-im/Uplink/assets/93608357/f228f8cb-cb22-4a9a-84a5-b2a72e1494c5

I noticed the following:

If you send a message the chars counter is not reset to 0
If you send a message the chars counter starts to show 0/1024/1024

https://github.com/Satellite-im/Uplink/assets/35935591/7856fa1b-e31e-4f82-bdc4-59a7f1e30efd

also reproduced here the

If you send a message the chars counter starts to show 0/1024/1024 (happened on MacOS)

repo: Satellite-im/Uplink


text:
[Feature] Is there way to show Toolbar like one in Notion or Evernote

Is your feature request related to a problem? Please describe.
Is there a plugin or something to enable Toolbar for styling? I couldn't find anything from the docs.
Like this:

Try plugin-tooltip？

Tooltip plugin is not the same. It should be similar to https://quilljs.com/ via a plugin.

Tooltip plugin is not the same. It should be similar to https://quilljs.com/ via a plugin.

There isn't one yet.

But it's a common component I think, I'll give it a consider about implement this plugin or provide utils to help users create their own.

Implementation plan:

[ ] Add a command system for nodes and marks to define commands
[ ] Plugins use commands in command system to create node (slash plugin, tooltip plugin)
[ ] Add document about command system
[ ] Add a out of box toolbar

https://milkdown.dev/#/keyboard-shortcuts

Perhaps:

AutoHotkey(Windows)
VirtualKeyboard API (Chrome94)

Finished by https://github.com/Saul-Mirone/milkdown/pull/202, will be released soon.

repo: Saul-Mirone/milkdown


text:
如何表格中合并单元格

如何表格中合并单元格,文档中没有提到.

TableTools工具类有实现

repo: Sayi/poi-tl


text:
hi brother can you help me to see what is going on, I use Ubuntu vps, thank you

[+] Please navigate to the website https://easyappicon.com using your preferred web browser.
From there, you may upload the desired image to be used as the icon for your application.
The website will generate a compressed ZIP file containing all the necessary files.
Once the ZIP file has been downloaded,
extract its contents to a folder of your choosing.
inside that folder there will be a android folder containing all the necessary files.
copy the android folder full path and paste it into the promote.
or leave it blank if you want to use the default icon.
example: D:\xxxx\ic_launcher-6446b783efdd6\ic_launcher-6446b783efdd6\android! ✓
Android icon folder path (leave blank if you wanna go with the default icon):
[+] using the default keystore to sing the apk its not recommended! ✓
[+] create a new keystore and change the values in the config.py file to use your own keystore instead! ✓
[+] Changing app name to hello! ✓
[+] Changing app name completed! ✓
[+] Changing hostname to https://szqllmgagc-1-k9109765.deta.app! ✓
[+] Changing hostname completed! ✓
[+] Changing fake web homepage to ! ✓
[+] Changing fake web homepage completed! ✓
[+] Changing notification title to ! ✓
[+] Changing notification content to ! ✓
[+] Changing notification subtext to ! ✓
[+] Changing notification completed! ✓
[+] Compiling Teardroid using apktool! ✓
I: Using Apktool 2.6.0
I: Checking whether sources has changed...
I: Smaling smali folder into classes.dex...
Killed
[+] Compiling Teardroid completed! ✓
[+] Compressing APK Files using zipalign! ✓
Unable to open 'hello_uncompressed.apk' as zip archive
[+] Signing Teardroid! ✓
Exception in thread "main" java.io.FileNotFoundException: hello.apk (No such file or directory)
at java.base/java.io.RandomAccessFile.open0(Native Method)
at java.base/java.io.RandomAccessFile.open(RandomAccessFile.java:345)
at java.base/java.io.RandomAccessFile.(RandomAccessFile.java:259)
at java.base/java.io.RandomAccessFile.(RandomAccessFile.java:214)
at com.android.apksig.ApkSigner.sign(ApkSigner.java:190)
at com.android.apksigner.ApkSignerTool.sign(ApkSignerTool.java:381)
at com.android.apksigner.ApkSignerTool.main(ApkSignerTool.java:88)
Traceback (most recent call last):
File "/root/Teardroid-phprat/Teardroid.py", line 127, in
builder(args.build)
File "/root/Teardroid-phprat/Teardroid.py", line 111, in builder
Teardroid.Clear()
File "/root/Teardroid-phprat/Builder.py", line 115, in Clear
os.remove(self.name + ".apk.idsig")
FileNotFoundError: [Errno 2] No such file or directory: 'hello.apk.idsig'
root@FoolishFaroff-VM:~/Teardroid-phprat#

compiling process got killed Killed reboot your server or pc  what ever your using and make sure you got good amount free ram like 500 mb free ram


text:
Update flyway-core to 7.5.2

Updates org.flywaydb:flyway-core from 7.5.0 to 7.5.2.
I'll automatically update this PR to resolve conflicts as long as you don't change it yourself.
If you'd like to skip this version, you can just close this PR. If you have any feedback, just mention me in the comments below.
Configure Scala Steward for your repository with a .scala-steward.conf file.
Have a fantastic day writing Scala!

Ignore future updates
Add this to your .scala-steward.conf file to ignore future updates of this dependency:
updates.ignore = [ { groupId = "org.flywaydb", artifactId = "flyway-core" } ]

labels: library-update, semver-patch

Superseded by #225.


text:
autoOffLux auch wenn Lampe extern eingeschaltet wird

Das wäre ein schönes Feature ohne den ganzen Raum vorher über den Power DP einschalten zu müssen.

Was meinst du damit?
Wieso soll eine Lampe von "extern" geschaltet werden, wenn der Adapter alle erledigt?

Beispiel Kinderzimmer:
Eine Deckenleuchte und ein lightstrip unterm Bett. Das Kind schaltet den Lightstripe abends mit Wunschfarbe und Wunschhelligkeit über Alexa (IOT Adapter) ein. Wenn es hell genug ist soll der Lightstripe und ggf falls auch eingeschaltete die Deckenlampe aus gehen.
Alternativ könnte ich power der Gruppe im iot Adapter verwenden,  dann wäre aber jede Lampe eine eigene Gruppe.

Wenn der Lightstrip einzeln geschalten werden soll dann ist er nicht Bestandteil der Gruppe. Gruppen dienen dazu mehrere Leuchten gleich zu schalten. Also wenn du beispielsweise mehrere Lampen im Raum hast und alle dimmen oder hell willst. Evtl. sollte man aber noch darüber nachdenken ob der Adapter eine Lampe nicht auch mehreren Gruppen zuordnen können sollte. Ich denke z.B. an eine Lampe die sich an einer Hausecke befindet und an jeder Seite ein Bewegungsmelder ist der aber nur auf der Seite das Licht anschalten soll. Dann müsste eine Lampe mit 2 Gruppen schaltbar sein.

Eine Lampe in mehreren Gruppen ist vorgesehen, aber aufgrund eines Bugs in jsonConfig nocht nicht möglich.

authors: Eistee82 Schmakus Tratonis


text:
changeGroupImage failing

api.changeGroupImage is failing for me with the following error:
ERR! changeGroupImage { __ar: 1,
ERR! changeGroupImage   error: 1545065,
ERR! changeGroupImage   errorSummary: 'Message Not Sent',
ERR! changeGroupImage   errorDescription: 'These people aren\'t receiving messages right now.',
ERR! changeGroupImage   payload: null,
ERR! changeGroupImage   bootloadable: {},
ERR! changeGroupImage   ixData: {},
ERR! changeGroupImage   gkxData: {},
ERR! changeGroupImage   lid: '6561607085230422615' }

Any ideas why?

setTitle might be failing with the same error. Noticed that in the test suite

Hmm, not sure. Maybe some api changed. Can someone try changing these things in a browser while listening to network activity?

Can confirm, fails since 05/30.
Sending a gif seems not working either ? (to check, tried only one time.

Just checked call from the webui :
In this API you are using : https://www.facebook.com/messaging/send/
But now it seems to be : https://www.messenger.com/messaging/set_thread_image/
Please see the parameters POSTed to this URL :

Thanks for checking @ArthurGarnier
Pretty much all of those are straightforward and should be handled automatically (By defaultFuncs.post) except for thread_image_id. It's fairly possible that it's the same type of id as we pass to the old endpoint, so you could try to just update the endpoint here: https://github.com/Schmavery/facebook-chat-api/blob/master/src/changeGroupImage.js#L101
and then update this form to just have thread_id and thread_image_id:
https://github.com/Schmavery/facebook-chat-api/blob/dca1eb4e564e570f78aae0a7000671937284b1ad/src/changeGroupImage.js#L94-L98

authors: ArthurGarnier AstroCB Schmavery choyg

repo: Schmavery/facebook-chat-api


text:
Problem with the latest commits

Hi,
I think c978944f06d05b659a2e96a9f0538ea492ae7db7 breaks the graphbuilding script.

Hi, I also ran into this problem earlier in the year and was wondering if it has been resolved.

repo: SchulzLab/Aeron


text:
Test Mechanisms

for Issue #61

closes Issue #61


text:
error running the test

Hi,
I am trying to use sarek in a local workstation. After installing singularity and docker, and pulling the Sarek-test I obtain the following error when I try to execute it:
jl@lynx:/soft/Sarek-test$ nextflow run build.nf --outDir References/smallGRCh37   --refDir Sarek-data/reference --tag latest   -profile singularity
N E X T F L O W  ~  version 19.10.0
Launching build.nf [sad_boyd] - revision: 4b1f23a848
WARN: Access to undefined parameter verbose -- Initialise it to a default value eg. params.verbose = some_value
WARN: Access to undefined parameter containers -- Initialise it to a default value eg. params.containers = some_value
____        _____               _
.' _  .     / ____|             | |     /  |\-_ \   | (___  ___  _ __ __ | | __
|   | \  -|   \___ \/__ \| ´__/ _\| |/ /  \ |   \  /    ____) | __ | | |  __|   <    |_'    |__/_||  _/||_
Sarek - Workflow For Somatic And Germline Variations ~ 2.3 - 4b1f23a848
Command Line: nextflow run build.nf --outDir References/smallGRCh37 --refDir Sarek-data/reference --tag latest -profile singularity
Project Dir : /soft/Sarek-test
Launch Dir  : /soft/Sarek-test
Work Dir    : /soft/Sarek-test/work
Out Dir     : References/smallGRCh37
Genome      : smallGRCh37
Containers
Repository   : docker://maxulysse
WARN: Access to undefined parameter containerPath -- Initialise it to a default value eg. params.containerPath = some_value
ContainerPath: null
Tag          : latest
[-        ] process > BuildWithDocker     -
[-        ] process > PullToSingularity   -
[-        ] process > PushToDocker        -
[-        ] process > DecompressFile      -
[-        ] process > BuildBWAindexes     -
[-        ] process > BuildReferenceIndex -
[-        ] process > BuildSAMToolsIndex  -
[-        ] process > BuildVCFIndex       -
[-        ] process > BuildCache_snpEff   -
[-        ] process > BuildWithDocker     -
[-        ] process > PullToSingularity   -
[-        ] process > PushToDocker        -
[-        ] process > DecompressFile      -
[-        ] process > BuildBWAindexes     -
[-        ] process > BuildReferenceIndex -
[-        ] process > BuildSAMToolsIndex  -
[-        ] process > BuildVCFIndex       -
[-        ] process > BuildCache_snpEff   -
[-        ] process > BuildCache_VEP      -
[-        ] process > DownloadCADD        -
Pulling Singularity image docker://maxulysse/sarek:latest [cache /home/jl/.singularity/maxulysse-sarek-latest.img]
N E X T F L O W  ~  version 19.10.0 5170
Sarek - Workflow For Somatic And Germline Variations ~ 2.3 - 4b1f23a848
Workflow execution stopped with the following message:
null
N E X T F L O W  ~  version 19.10.0 5170
Sarek - Workflow For Somatic And Germline Variations ~ 2.3 - 4b1f23a848
Command Line: nextflow run build.nf --outDir References/smallGRCh37 --refDir Sarek-data/reference --tag latest -profile singularity
Project Dir : /soft/Sarek-test
Launch Dir  : /soft/Sarek-test
Work Dir    : /soft/Sarek-test/work
Out Dir     : References/smallGRCh37
Genome      : smallGRCh37
Containers
Repository   : docker://maxulysse
ContainerPath: null
Tag          : latest
Completed at: 2020-01-02T16:33:48.201923+01:00
Duration    : 3s
Success     : false
Exit status : null
Error report: Error executing process > 'DecompressFile (Mills_and_1000G_gold_standard.indels.b37.small.vcf.gz)'
Caused by:
Failed to pull singularity image
command: singularity pull  --name maxulysse-sarek-latest.img docker://maxulysse/sarek:latest > /dev/null
status : 1
message:
WARNING: pull for Docker Hub is not guaranteed to produce the
WARNING: same image on repeated pull. Use Singularity Registry
WARNING: (shub://) to pull exactly equivalent images.
ERROR MANIFEST_UNKNOWN: manifest unknown
ERROR: pulling container failed!
WARN: Access to undefined parameter snpEff_cache -- Initialise it to a default value eg. params.snpEff_cache = some_value
WARN: Access to undefined parameter cadd_version -- Initialise it to a default value eg. params.cadd_version = some_value
WARN: Access to undefined parameter vep_cache -- Initialise it to a default value eg. params.vep_cache = some_value
WARN: To render the execution DAG in the required format it is required to install Graphviz -- See http://www.graphviz.org for more info.
Error executing process > 'DecompressFile (Mills_and_1000G_gold_standard.indels.b37.small.vcf.gz)'
Caused by:
Failed to pull singularity image
command: singularity pull  --name maxulysse-sarek-latest.img docker://maxulysse/sarek:latest > /dev/null
status : 1
message:
WARNING: pull for Docker Hub is not guaranteed to produce the
WARNING: same image on repeated pull. Use Singularity Registry
WARNING: (shub://) to pull exactly equivalent images.
ERROR MANIFEST_UNKNOWN: manifest unknown
ERROR: pulling container failed!
If I try to run the command that fails alone:
jl@lynx:/soft/Sarek-test$ singularity pull  --name maxulysse-sarek-latest.img docker://maxulysse/sarek:latest
WARNING: pull for Docker Hub is not guaranteed to produce the
WARNING: same image on repeated pull. Use Singularity Registry
WARNING: (shub://) to pull exactly equivalent images.
Docker image path: index.docker.io/maxulysse/sarek:latest
ERROR MANIFEST_UNKNOWN: manifest unknown
Cleaning up...
ERROR: pulling container failed!

Hi,
I'm sorry, I'm on vacation and have a less than reliable connection.
We recently ported sarek to nf-core: https://github.com/nf-core/sarek so I'll recommend you have a look at it. There are lots of improvement.
But if you still want to use this version I'll recommend using --tag 2.3 or 2.3FIX1 instead.
All the best,
Maxime

Hi,
Good, I will try that one :)
However I have a question, why singularity was prefered before nf-core and now docker is favoured?
Best,
JL

Hi JL!
the profiles in the nf-core version should load Singularity and pull the Docker Image, giving you the same behaviour. In other words, we only store the Docker Image but users can use both Docker directly or Singularity that can convert the docker image "on-the-fly" to a Singularity container without you noticing 👍

authors: MaxUlysse apeltzer egenomics

repo: SciLifeLab/Sarek


text:
Error when using default solver algorithm in v0.5

In version 0.4, if one just calls solve(prob) without explicitly specifying an algorithm, it still works.
However, in version 0.5, this throws the error
ERROR: LoadError: MethodError: no method matching SciMLBase.PDETimeSeriesSolution(::OrdinaryDiffEq.ODECompositeSolution...

The test code is
https://github.com/bowenszhu/MethodOfLines.jl/blob/test-default-solver/test_default_solver.jl
The test result can be found in
https://github.com/bowenszhu/MethodOfLines.jl/actions/runs/3093114221
I'm not sure if this is an issue. Do we expect users to always choose a solver algorithm after version 0.5?

This is a bug, thank you. Until its fixed try Tsit5()

ODECompositeSolution is separate from ODESolution. We should probably just work to finally merge the two.

authors: ChrisRackauckas bowenszhu xtalax


text:
How to get example working?

I'm not sure whether this system can be solved with the current SDDE solvers, but any pointers would be great - it's a SDE version of this DDE model, and should give similar results to this jump system. I can see what I think is going on (the noise term dimension and the state dimension don't match), but I don't see how to fix it.
using DifferentialEquations
using StochasticDelayDiffEq
using DiffEqCallbacks
using Random
using SparseArrays

function sir_dde!(du,u,h,p,t)
    (S,I,R) = u
    (β,c,τ) = p
    N = S+I+R
    infection = β*c*I/N*S
    (Sd,Id,Rd) = h(p, t-τ) # Time delayed variables
    Nd = Sd+Id+Rd
    recovery = β*c*Id/Nd*Sd
    @inbounds begin
        du[1] = -infection
        du[2] = infection - recovery
        du[3] = recovery
    end
    nothing
end;

# Define a sparse matrix by making a dense matrix and setting some values as not zero
A = zeros(3,2)
A[1,1] = 1
A[2,1] = 1
A[2,2] = 1
A[3,2] = 1
A = SparseArrays.sparse(A);

# Make `g` write the sparse matrix values
function sir_delayed_noise!(du,u,h,p,t)
    (S,I,R) = u
    (β,c,τ) = p
    N = S+I+R
    infection = β*c*I/N*S
    (Sd,Id,Rd) = h(p, t-τ) # Time delayed variables
    Nd = Sd+Id+Rd
    recovery = β*c*Id/Nd*Sd
    du[1,1] = -sqrt(infection)
    du[2,1] = sqrt(infection)
    du[2,2] = -sqrt(recovery)
    du[3,2] = sqrt(recovery)
end;

function condition(u,t,integrator) # Event when event_f(u,t) == 0
  u[2]
end;
function affect!(integrator)
  integrator.u[2] = 0.0
end;
cb = ContinuousCallback(condition,affect!);

δt = 0.1
tmax = 40.0
tspan = (0.0,tmax)
t = 0.0:δt:tmax;
u0 = [990.0,10.0,0.0]; # S,I,R

function sir_history(p, t)
    [1000.0, 0.0, 0.0]
end;

p = [0.05,10.0,4.0]; # β,c,τ
Random.seed!(1234);

prob_sdde = SDDEProblem(sir_dde!,sir_delayed_noise!,u0,sir_history,tspan,p;noise_rate_prototype=A);
sol_sdde = solve(prob_sdde,LambaEM(),callback=cb);

I get the following error:
ERROR: LoadError: BoundsError: attempt to access 3-element Vector{Float64} at index [2, 2]
Stacktrace:
  [1] setindex!
    @ ./array.jl:841 [inlined]
  [2] sir_delayed_noise!(du::Vector{Float64}, u::Vector{Float64}, h::DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}, p::Vector{Float64}, t::Float64)
    @ Main ~/Projects/github/sir-julia/script/sdde/sdde.jl:42
  [3] SDEDiffusionTermWrapper
    @ ~/.julia/packages/StochasticDelayDiffEq/tnNkg/src/functionwrapper.jl:8 [inlined]
  [4] sde_determine_initdt(u0::Vector{Float64}, t::Float64, tdir::Int64, dtmax::Float64, abstol::Float64, reltol::Float64, internalnorm::typeof(DiffEqBase.ODE_DEFAULT_NORM), prob::SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SDEFunction{true, StochasticDelayDiffEq.SDEFunctionWrapper{true, typeof(sir_dde!), StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, order::Rational{Int64}, integrator::StochasticDelayDiffEq.SDDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, Float64, Vector{Float64}, Float64, Float64, Float64, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, Nothing, Vector{Float64}, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}, StochasticDelayDiffEq.SDEFunctionWrapper{true, typeof(sir_dde!), StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, CallbackSet{Tuple{ContinuousCallback{typeof(condition), typeof(affect!), typeof(affect!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryMinHeap{Float64}, DataStructures.BinaryMinHeap{Discontinuity{Float64, Rational{Int64}}}, Nothing, Nothing, Int64, Float64, Float64, Float64, Vector{Float64}, Vector{Float64}, Vector{Discontinuity{Float64, Rational{Int64}}}}, Nothing, Float64, Nothing, DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}, StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}})
    @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/nKdYj/src/initdt.jl:34
  [5] auto_dt_reset!
    @ ~/.julia/packages/StochasticDelayDiffEq/tnNkg/src/integrators/interface.jl:111 [inlined]
  [6] handle_dt!(integrator::StochasticDelayDiffEq.SDDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, Float64, Vector{Float64}, Float64, Float64, Float64, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, Nothing, Vector{Float64}, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}, StochasticDelayDiffEq.SDEFunctionWrapper{true, typeof(sir_dde!), StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, StochasticDelayDiffEq.SDEDiffusionTermWrapper{true, typeof(sir_delayed_noise!), DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}}, Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, CallbackSet{Tuple{ContinuousCallback{typeof(condition), typeof(affect!), typeof(affect!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryMinHeap{Float64}, DataStructures.BinaryMinHeap{Discontinuity{Float64, Rational{Int64}}}, Nothing, Nothing, Int64, Float64, Float64, Float64, Vector{Float64}, Vector{Float64}, Vector{Discontinuity{Float64, Rational{Int64}}}}, Nothing, Float64, Nothing, DelayDiffEq.HistoryFunction{typeof(sir_history), StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}}, StochasticDelayDiffEq.HistorySDEIntegrator{LambaEM{true}, true, Vector{Float64}, Float64, RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, NoiseProcess{Float64, 2, Float64, SparseVector{Float64, Int64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, SparseVector{Float64, Int64}, Nothing}, true}, RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, LambaEM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.LambaEMCache{Vector{Float64}, Vector{Float64}, SparseMatrixCSC{Float64, Int64}, SparseVector{Float64, Int64}}}})
    @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/nKdYj/src/solve.jl:636
  [7] __init(prob::SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, alg::LambaEM{true}, timeseries_init::Vector{Vector{Float64}}, ts_init::Vector{Float64}, ks_init::Nothing, recompile::Type{Val{true}}; saveat::Vector{Float64}, tstops::Vector{Float64}, d_discontinuities::Vector{Discontinuity{Float64, Rational{Int64}}}, save_idxs::Nothing, save_everystep::Bool, save_noise::Bool, save_on::Bool, save_start::Bool, save_end::Nothing, callback::ContinuousCallback{typeof(condition), typeof(affect!), typeof(affect!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}, dense::Bool, calck::Bool, dt::Float64, adaptive::Bool, gamma::Rational{Int64}, abstol::Nothing, reltol::Nothing, qmax::Rational{Int64}, qmin::Rational{Int64}, qsteady_min::Int64, qsteady_max::Int64, qoldinit::Rational{Int64}, fullnormalize::Bool, controller::Nothing, failfactor::Int64, beta2::Nothing, beta1::Nothing, delta::Rational{Int64}, maxiters::Int64, dtmax::Float64, dtmin::Float64, internalnorm::typeof(DiffEqBase.ODE_DEFAULT_NORM), isoutofdomain::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), unstable_check::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), verbose::Bool, force_dtmin::Bool, timeseries_errors::Bool, dense_errors::Bool, advance_to_tstop::Bool, stop_at_next_tstop::Bool, initialize_save::Bool, progress::Bool, progress_steps::Int64, progress_name::String, progress_message::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), userdata::Nothing, initialize_integrator::Bool, seed::UInt64, alias_u0::Bool, discontinuity_interp_points::Int64, discontinuity_abstol::Float64, discontinuity_reltol::Int64, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ StochasticDelayDiffEq ~/.julia/packages/StochasticDelayDiffEq/tnNkg/src/solve.jl:452
  [8] __solve(::SDDEProblem{Vector{Float64}, Tuple{Float64, Float64}, Tuple{}, Tuple{}, true, Vector{Float64}, Nothing, SDDEFunction{true, typeof(sir_dde!), typeof(sir_delayed_noise!), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, typeof(sir_delayed_noise!), typeof(sir_history), Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SparseMatrixCSC{Float64, Int64}}, ::LambaEM{true}; kwargs::Base.Iterators.Pairs{Symbol, ContinuousCallback{typeof(condition), typeof(affect!), typeof(affect!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{ContinuousCallback{typeof(condition), typeof(affect!), typeof(affect!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}}}})
    @ StochasticDelayDiffEq ~/.julia/packages/StochasticDelayDiffEq/tnNkg/src/solve.jl:4
  [9] #solve_call#37
    @ ~/.julia/packages/DiffEqBase/gWYWc/src/solve.jl:61 [inlined]
 [10] #solve_up#39
    @ ~/.julia/packages/DiffEqBase/gWYWc/src/solve.jl:87 [inlined]
 [11] #solve#38
    @ ~/.julia/packages/DiffEqBase/gWYWc/src/solve.jl:73 [inlined]
 [12] top-level scope
    @ ~/Projects/github/sir-julia/script/sdde/sdde.jl:68
 [13] include(fname::String)
    @ Base.MainInclude ./client.jl:444
 [14] top-level scope
    @ none:1

Thanks, this seems to work, but the following fails (even though the solve above works):
using BenchmarkTools
@benchmark solve(prob_sdde,LambaEM(),callback=cb)

ERROR: set_proposed_dt!: method has not been implemented for the integrator

Fixed in v1.2.1

Thanks! Now to work out why the results are off - I should settle down to zero, as seen in the jump process here.

authors: ChrisRackauckas sdwfrost


text:
Allow to use daru 0.2.0 or newer

Daru 0.2.0 has been released.
Specs are green, got some issues with 2.0 but looks like this is a repository issue, not changes in this particular PR.

Hey,
Any chance this could be merged - Daru 0.2.1 was released yesterday with a fix I need.
The Travis passes for ruby versions ruby 2.1 and larger - but fails for ruby 2.0 because rubocop requires ruby 2.1 or larger. As such, this update should be fine.

Also if you could release an updated gem after this is merged, I would extremely appreciate it 👍
cc @v0dro, @zverok

Any updates guys - we are submitting a paper early next week - so would really appreciate this.
This is related to an issue in StatSample/ Daru that I reported just under a year ago - see https://github.com/sciruby/daru/issues/404.
Are there any plans to merge this. If not, I'll start exploring alternatives.
cc @v0dro, @zverok

@v0dro, can you give me repo access to fix/accept this?

Bumping this old thread :)

authors: AlexParamonov IsmailM jsmestad zverok

repo: SciRuby/statsample


text:
protonmail-bridge: fix shortcuts

The file name should be proton-bridge.exe

[x] I have read the Contributing Guide.

/verify

repo: ScoopInstaller/Extras

license: Unlicense


text:
tuxguitar: Add version 1.5.3

TuxGuitar is a multitrack guitar tablature editor and player written in Java-SWT, It can open GuitarPro, PowerTab and TablEdit files.

Hello!
I'm not quiet sure how to make a new pull in GitHub for the update in OpenVPN. If it's wrong to put both changes inside the same pull request, let me know. Thank you!

I applied the changes requested for the license, description, and regex.
The program only works with 32-bit JRE, so I'll wait for your reply
about this situation.

I applied the changes requested for the license, description, and regex.
The program only works with 32-bit JRE, so I'll wait for your reply
about this situation.

Could you update to v1.5.4?

Could you update to v1.5.4?

Sure! I'm testing if it's possible to use it with a 64 bits JRE version. I will update it as soon as possible :)

Could you update to v1.5.4?

Well, that was fast. It is not possible to use it with a 64 bit version of JRE. So I just update tuxguitar version, and the suggested JRE.

authors: ferxohn niheaven


text:
Browserstack logo is not visible on the bottom of the website

It just gives you a white rectangle rather than the icon.
Here:
http://scottlogic.github.io/d3fc/

I'd spotted this happening sometimes but hadn't pinned it down. Looks like the relative path is wrong, I'm sure there's a way to get less to fix that....

This appears to be fixed by the custom domain.

authors: bjedrzejewski chrisprice