text:
Snap version doesn't match semgrep version

The snap is currently at version 1.1 but ships semgrep version 1.50.0.
Not sure if this is intended but it is definitely misleading.
To currently check given #4,
$snap run --shell semgrep
root@path$ semgrep --version
1.50.0

Hi @artivis,
Thanks for your proposal! I agree that it can confuse the users. I made the modifications and will release a new version in a couple of minutes.
Thanks 🙌🏿!

@iosifache Thanks for the fixes.
Rather than manually updating the version, I'd suggest to retrieve the version directly from the pip package, something along the lines of,
# Identifier
name: semgrep

# Version of the snap retrieved from the pip package
adopt-info: semgrep

# Base snap
base: core22

# Maturity, either devel or stable
grade: stable

# Minimal access level, with permissions provided by the interfaces above
confinement: strict

# Build and run architectures
architectures:
  - build-on: [amd64]
  - build-on: [arm64]

# A Python part for "proxying" the wheel from PyPi
parts:
  semgrep:
    plugin: python
    source: .
    python-packages:
      - semgrep
    override-build: |
      craftctl default
      version="$(python3 -m pip show semgrep | sed -n 's|^Version: ||p')"
      craftctl set version="$version"

This, coupled with a github action to release the snap, makes this packaging mostly automated.

@artivis, that would be a nice feature! As you already have the code proposal, could you please create a PR with the changes to the snapcraft.yaml file?

authors: artivis iosifache

repo: iosifache/semgrep-snap


text:
cli:  extended list of outputs

Description
Currently, the list of outputs looks like this:
Account "main": outputs
Outputs: [
    OutputId(0x6f86544527a9b76093db90c0ae1e50f1b58a78a9572f407aad6e2400e6008fe30600),
]

Which doesn't say a lot.
It would be great to refactor the list that contains the relative number and type. i.e:
0  0x000000 alias
1  0x111111 nft

Motivation
Improve UX, give the user better information about associated outputs with the account
Requirements
Account "main": outputs
0  0x000000 alias
1  0x111111 nft

Open questions (optional)
should we have additional details in a row beside the type of output?
Are you planning to do it yourself in a pull request?
Yes/No.

Closed by https://github.com/iotaledger/iota-sdk/pull/955

source: gharchive/issue

authors: qrayven thibault-martinez

repo: iotaledger/iota-sdk

license_type: permissive

license_source: github-api


text:
🛑 备用KMS激活服务器 01 is down

In d72783f, 备用KMS激活服务器 01 (s11.ikms.eu.org) was down:

HTTP code: 0
Response time: 0 ms

Resolved: 备用KMS激活服务器 01 is back up in e80a84e after 10 minutes.

repo: iougemini/ikms-uptime

license: MIT


text:
🛑 备用KMS激活服务器 01 is down

In e1ded35, 备用KMS激活服务器 01 (s11.ikms.eu.org) was down:

HTTP code: 0
Response time: 0 ms

Resolved: 备用KMS激活服务器 01 is back up in 18cb316 after 1 hour.


text:
🛑 备用KMS激活服务器 01 is down

In 47759d5, 备用KMS激活服务器 01 (s11.ikms.eu.org) was down:

HTTP code: 0
Response time: 0 ms

Resolved: 备用KMS激活服务器 01 is back up in 528ac1e after 17 minutes.


text:
🛑 备用KMS激活服务器 01 is down

In 7dfcc65, 备用KMS激活服务器 01 (s11.ikms.eu.org) was down:

HTTP code: 0
Response time: 0 ms

Resolved: 备用KMS激活服务器 01 is back up in f45b8be after 19 minutes.


text:
🛑 备用KMS激活服务器 01 is down

In 704b12e, 备用KMS激活服务器 01 (s11.ikms.eu.org) was down:

HTTP code: 0
Response time: 0 ms

Resolved: 备用KMS激活服务器 01 is back up in 904b5ee after 13 minutes.


text:
🛑 备用KMS激活服务器 01 is down

In 0f350a1, 备用KMS激活服务器 01 (s11.ikms.eu.org) was down:

HTTP code: 0
Response time: 0 ms

Resolved: 备用KMS激活服务器 01 is back up in ab21fb7 after 16 minutes.


text:
None of the documentation indicates where the environment configuration file is

the only hint is the line printed when you run ./ipdk install, it tells you that it is at
~/.ipdk/ipdk.env'
The various .md files talk about the configuration file in many places, and even have links to pages supposedly to give you more info, but not a single one that I found (I searched through all of them) tells you where the file actually is.
So if you do not see that single line, when you run ./ipdk install, you are forced to go rummaging through scripts to figure out where to find the file.  I spent a good hour doing so.

@PatrickKutch - Thanks for reporting. Will take care of necessary updates in the documentation to provide more details on the configuration file path.

authors: PatrickKutch vsureshkumarp

repo: ipdk-io/ipdk


text:
API doc mentions cleanSourcesFilter, did you mean cleanSource or cleanSourceWith?

I was reading through https://github.com/ipetkov/crane/blob/master/docs/API.md#libcleancargosource trying to figure out how to include *.lalrpop files into my build, and I noticed the doc mentions cleanSourcesFilter but this does not exist in Nixpkgs nor in Crane code.
In Crane code, the only similar Nix code used is:

cleanSourceWith
cleanSource (which is just a special case of cleanSourceWith)

In Nixpkgs, there exists a function cleanSourceFilter (notice the singular Source), but it does not appear to be directly used by Crane code.

Ah, thanks for the report @sir4ur0n! Yes this is a typo, cleanCargoSource will internally use cleanSource so I'll update the docs to correct the name!

repo: ipetkov/crane


text:
How to run tests?

I'm running commit bb94efc from the main branch. I installed dependencies with npm install, then ran npm test. The tests fail with this error:

Cannot find module '@helia/interface' or its corresponding type declarations.

I'm running node v18.12.1 and npm v8.19.2.
Even after running npm install @helia/interface, I get the same errors.
I'm sure I'm not the only one that would like to know how to run tests on this repository. Can someone provide guidance?
I'm primarily interested in a node.js environment. I got the same errors when trying to run npm run test:node.

You need to run npm run build from the root of the repo first.  After that you can run tests in individual packages, or in all of them from the root.

authors: achingbrain christroutner

repo: ipfs/helia


text:
feat: move regular files api to top level, add addFromFs and addFromUrl

Related to https://github.com/ipfs/interface-ipfs-core/issues/118

Yep, and IPFSX already has a unified ls:
https://github.com/alanshaw/ipfsx/pull/1
https://github.com/alanshaw/ipfsx/blob/master/API.md#ls

I think we should jump straight to the ideal API, rather than make users update their code twice - once to this and then again to ipfsx.

@achingbrain even if that means 4+ months?
In order for ipfsx to land, we will need:

(A) Refactor the whole codebase plus test that a stream muxer powered by async generators will be equally performant as the one we have with Streams.
(B) Agree on the de-facto files API

I believe that we should do these in parallel

I'm +1 on moving the files API stuff to the top level. IPFS's prime purpose is to deal with files, so these calls should be privileged. They are also the most widely used calls so saving on typing helps developers. WIN WIN.
I think that addFromURL and addFromFs are convenient right now, but these operations will become really easy if add starts to take an async iterator like IPFSX does and so I don't think they'll be needed.
Right now in IPFSX if I want to add these things I'd do something like:
// Add a file
const stream = fs.createReadStream('/path/to/file')
const { cid } = await node.add(stream).first()

// Add a URL
const response = await fetch('http://giffatron.com/cat.gif')
const { cid } = await node.add(response.body.getReader()).first()

Ok so, caveat, browser ReadableStream isn't a async iterator quite yet but we can shim temporarily.

@alanshaw what about users that want to add entire directories from their local file system in Node.js (analogous to the CLI ipfs add)? Even with ipfsx, you would still need to do the globbing manually that is happening here https://github.com/ipfs/js-ipfs/blob/master/src/cli/commands/files/add.js#L18-L102 every single time a user is using a embedded node.

I agree with @achingbrain we should not do a breaking change just to do another in a few months , I don't believe there sufficient value in it. We can improve docs and make small tweaks to improve experience though.
I think we should aim for ipfsx I looked into it just now for a second time didn't know it was already so complete. Looks freaking awesome @alanshaw please tell me how I can help !! We need this 🎉🎉🎉

@alanshaw what about users that want to add entire directories from their local file system in Node.js (analogous to the CLI ipfs add)?

Good point, I didn't consider that.

@hugomrdias here is a good milestone towards that. Convert https://github.com/libp2p/js-libp2p-mplex to async-generators and run the stream muxer tests on it https://github.com/libp2p/interface-stream-muxer/tree/master/src and compare it with the current implementation in terms of speed and memory usage.

Can I get a quick vote? I want to make sure to understand if people agree/disagree if people want to ship A and B -- https://github.com/ipfs/interface-ipfs-core/pull/378#issuecomment-432970995 -- in one swipe.

If you think that we should do A & B from https://github.com/ipfs/interface-ipfs-core/pull/378#issuecomment-432970995 refactor in parallel, 🎉 this comment
If you think that we should do A & B from https://github.com/ipfs/interface-ipfs-core/pull/378#issuecomment-432970995 refactor simultaneously, 😄 this comment.

I think we should aim for ipfsx I looked into it just now for a second time didn't know it was already so complete. Looks freaking awesome @alanshaw please tell me how I can help !! We need this 🎉🎉🎉

❤
There's so much to do. I'm trying to create RFC issues for everything now so that there can be some discussion before an implementation lands. The biggest contribution you can make is using it, suggesting changes, and proposing things you'd like to see.
Also, is there any opposition to moving the ipfsx repo to ipfs shipyard or is it too soon? I think by moving it to shipyard the community might feel it has some longevity and be more open to try it out and it'll also aid discovery.

From IRC (important for context on the vote https://github.com/ipfs/interface-ipfs-core/pull/378#issuecomment-432976852):

Have it all working on https://github.com/ipfs/js-ipfs-api/pull/878. Now onto js-ipfs.
@alanshaw @hugomrdias @achingbrain Please review meanwhile the docs and tests in this PR. Thank you!

source: gharchive/pull-request

authors: achingbrain alanshaw diasdavid hugomrdias

repo: ipfs/interface-ipfs-core

license: mit

license_source: bigquery


text:
Chore/updates

Depends on a new release for https://github.com/ipfs/js-ipfsd-ctl/pull/47

Just released 0.8.0 of js-ipfsd-ctl, can you bump the version on this PR so that Travis becomes happy again?

@diasdavid done

thank you @Dignifiedquire :)

authors: Dignifiedquire diasdavid

repo: ipfs/js-ipfs-api


text:
Add a warning that ipfs is not anonymizing

This issue is part of Epic 3A: Fixes from user feedback/other metrics.
Please add a conspicuous warning on https://ipfs.io/ saying that ipfs alone is not anonymizing.
I don't know how many people, or if any at all, might get confused, but it's generally good to be on the safe side.

We've just finished documenting the IPFS Open Problem: Preserve full users' privacy when providing and fetching Content

Awesome - let's build this discussion into whatever artifact we build to address this on the site!

@jessicaschilling not sure how useful this is, but IPFS Companion's Privacy Policy tries to warn users about lack of anonymity by listing what type of data is shared or can be logged by other peers.

@lidel It's SUPER useful. 🙏

authors: daviddias jessicaschilling lidel yuvallanger

repo: ipfs/website


text:
🛑 CounterApi (brochure) is down

In fbdf1ba, CounterApi (brochure) (https://counterapi.com/) was down:

HTTP code: 502
Response time: 105 ms

Resolved: CounterApi (brochure) is back up in 0bc0a25 after 9 minutes.

repo: iplanwebsites/up


text:
Add: TV Natal [BR]

Channel Name
TV Natal
Alternative Names (optional)
No response
Network (optional)
No response
Owners (optional)
No response
Country
BR
Subdivision (optional)
BR-RN
City (optional)
Natal
Broadcast Area
s-BR-RN
Languages
Por
Categories (optional)
General;news;entertainment
NSFW
FALSE
Launched (optional)
No response
Closed (optional)
No response
Replaced By (optional)
No response
Website (optional)
http://www.tvnatal.com.br/
Logo
http://www.tvnatal.com.br/assets/images/logo/logo HD cópia.png
Notes
https://StmV1.srvstm.com/antonioflavio9545/antonioflavio9545/playlist.m3u8

Thank you for the stream: it will be included in the next release.

repo: iptv-org/database

license: Unlicense


text:
Latest release (5.1.3) doesn't work with Jupyter 4.2.0 (latest release)

When I open a notebook, I get this warning in the console:
loaded widgets
manager.js:115 Could not cross validate the widget frontend and backend versions. Error: Timeout while trying to cross validate the widget frontend and backend versions.(…)

Subsequently, creating a widget fails
utils.js:785 Could not open comm  --  Error: Class ipython.widget not found in registry

I installed the packages with Conda (IJulia automatically installs jupyter 4.2.0, then I did Conda.add("ipywidgets"))
How do I go about fixing this?

Looks like this callback which would suppress the warning is never called.. https://github.com/ipython/ipywidgets/blob/4142fc074dc63032be7b0fd84dfe5570e70dd546/jupyter-js-widgets/src/manager-base.js#L195-L202
When is it supposed to be? It looks like IJulia hasn't yet implemented comm_info_request and related message types, is this causing the problem? (it looks to me though as though the kernel throws the error after the warning is thrown in the browser)

In any case, the warning regarding the frontend / backend version validation should not be an issue.
Are you using a Julia backend for the Jupyter interactive widgets?

Yeah, Interact.jl

I found this: https://github.com/ipython/ipywidgets/wiki/ipywidgets-5.0-Release-Document
Will try to fix up things

Closing. We addressed these issues in the two hangouts with @shashi and @ViralBShah .

authors: SylvainCorlay ViralBShah shashi

repo: ipython/ipywidgets


text:
No need for request_state or _resolve_received_state mechanism anymore

WidgetModel.request_state was not called anymore. Removing the function and the promise resolving mechanism in _handle_msg.

Hurrah for cleanup!

authors: SylvainCorlay jdfreder


text:
Check if whitespace in seq names breaks minos

Check what happens if there is whitespace in fasta headers of input file. It might break the pipeline because names then might not match what is in the VCF file.

I believe it does (I'm using v0.12.2). Tested on a ref fasta with the header:

NC_004668.1 Enterococcus faecalis V583, complete sequence

I get the error: "Exception: No VCF records. Cannot continue. Please check that the input VCF files contained at least one variant"
But if I change to:

NC_004668.1

Works fine - and congrats on the paper!

Thanks! Have fixed it. Try the new release 0.12.3

authors: martinghunt sjbush

repo: iqbal-lab-org/minos


text:
Uncaught Error: spawn ENAMETOOLONG

[Enter steps to reproduce below:]

happens directly after installing
...

Atom Version: 0.201.0
System: C415M5CB3410TQN
Thrown From: autocomplete-elixir package, v1.2.6
Stack Trace
Uncaught Error: spawn ENAMETOOLONG
At C:\Users\MRAUSC\AppData\Local\atom\app-0.201.0\resources\app.asar\src\buffered-process.js:260

Error: spawn ENAMETOOLONG
    at exports._errnoException (util.js:734:11)
    at ChildProcess.spawn (child_process.js:1145:11)
    at Object.exports.spawn (child_process.js:977:9)
    at BufferedProcess.module.exports.BufferedProcess.spawn (C:\Users\MRAUSC\AppData\Local\atom\app-0.201.0\resources\app.asar\src\buffered-process.js:188:44)
    at new BufferedProcess (C:\Users\MRAUSC\AppData\Local\atom\app-0.201.0\resources\app.asar\src\buffered-process.js:50:14)
    at Object.exports.init (C:\Users\MRAUSC\.atom\packages\autocomplete-elixir\lib\alchemide\wrapper.coffee:30:10)
    at exit (C:\Users\MRAUSC\.atom\packages\autocomplete-elixir\lib\alchemide\wrapper.coffee:27:22)
    at triggerExitCallback (C:\Users\MRAUSC\AppData\Local\atom\app-0.201.0\resources\app.asar\src\buffered-process.js:213:47)
    at ChildProcess.<anonymous> (C:\Users\MRAUSC\AppData\Local\atom\app-0.201.0\resources\app.asar\src\buffered-process.js:235:18)
    at emitTwo (events.js:87:13)

Commands

Config
{
  "core": {}
}

Installed Packages
# User
atomatigit, v1.5.1
autocomplete-elixir, v1.2.6
go-plus, v3.3.11
language-elixir, v0.4.0

# Dev
No dev packages

Your project is too deep in directories for the spawn. I remember running onto it back in a day. I'll check out if there's any way to fix it

As this is still Happening with Atom 1.0.0 I debugged a little bit. The ENAMETOLONG is a wrong error code. I truth there is a bug in Node.js where child_process.spawn somehow NULLs an object which leads to an unexpected crash when the command gives some unexpected exit code.
What autocomplete-elixir is doing is this call on Windows:
{
"file" : "C:\Windows\system32\cmd.exe",
"args" : ["C:\Windows\system32\cmd.exe", "/s", "/c", ""elixir\elixir "C:\Users\marti\.atom\packages\autocomplete-elixir\lib\alchemide\autocompleter\autocomplete.exs" "D:\Projekte\2048squared"""],
"windowsVerbatimArguments" : true,
"detached" : false,
"envPairs" : ["ALLUSERSPROFILE=C:\ProgramData", "APPDATA=C:\Users\marti\AppData\Roaming", "ATOM_HOME=C:\Users\marti\.atom", "CommonProgramFiles=C:\Program Files (x86)\Common Files", "CommonProgramFiles(x86)=C:\Program Files (x86)\Common Files", "CommonProgramW6432=C:\Program Files\Common Files", "COMPUTERNAME=WIN-SJ0A7GO32DV", "ComSpec=C:\Windows\system32\cmd.exe", "FPS_BROWSER_APP_PROFILE_STRING=Internet Explorer", "FPS_BROWSER_USER_PROFILE_STRING=Default", "GOOGLE_API_KEY=AIzaSyAQfxPJiounkhOjODEO5ZieffeBv6yft2Q", "HOMEDRIVE=C:", "HOMEPATH=\Users\marti", "LOCALAPPDATA=C:\Users\marti\AppData\Local", "LOGONSERVER=\\MicrosoftAccount", "NODE_ENV=production", "NODE_PATH=C:\Users\marti\AppData\Local\atom\app-1.0.0\resources\app.asar\exports", "NUMBER_OF_PROCESSORS=4", "OS=Windows_NT", "Path=C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Program Files\erl6.4\bin;C:\Program Files (x86)\Elixir\bin;C:\Program Files\Git\cmd;C:\OtherProgs\Vagrant\bin;C:\Users\marti\AppData\Local\atom\bin;C:\Program Files\Boot2Docker for Windows", "PATHEXT=.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC", "PROCESSOR_ARCHITECTURE=x86", "PROCESSOR_ARCHITEW6432=AMD64", "PROCESSOR_IDENTIFIER=Intel64 Family 6 Model 58 Stepping 9, GenuineIntel", "PROCESSOR_LEVEL=6", "PROCESSOR_REVISION=3a09", "ProgramData=C:\ProgramData", "ProgramFiles=C:\Program Files (x86)", "ProgramFiles(x86)=C:\Program Files (x86)", "ProgramW6432=C:\Program Files", "PSModulePath=C:\Windows\system32\WindowsPowerShell\v1.0\Modules\", "PUBLIC=C:\Users\Public", "SESSIONNAME=Console", "SystemDrive=C:", "SystemRoot=C:\Windows", "TEMP=C:\Users\marti\AppData\Local\Temp", "TMP=C:\Users\marti\AppData\Local\Temp", "USERDOMAIN=WIN-SJ0A7GO32DV", "USERDOMAIN_ROAMINGPROFILE=WIN-SJ0A7GO32DV", "USERNAME=marti", "USERPROFILE=C:\Users\marti", "VBOX_INSTALL_PATH=C:\Program Files\Oracle\VirtualBox\", "windir=C:\Windows"],
"stdio" : [{
"type" : "pipe",
"readable" : true,
"writable" : false,
"handle" : {
"fd" : -1,
"writeQueueSize" : 0
}
}, {
"type" : "pipe",
"readable" : false,
"writable" : true,
"handle" : {
"fd" : -1,
"writeQueueSize" : 0
}
}, {
"type" : "pipe",
"readable" : false,
"writable" : true,
"handle" : {
"fd" : -1,
"writeQueueSize" : 0
}
}
]
}
You notice the "elixir\elixir" part? As it looked wrong I replaced it with "elixir" in the debug, and voila it works!
I hope this helps fixing this issue...

Oh I know what's the problem. I gave default value for "elixirPath" equal to "elixir". Which is dumb because it's used to be a folder so it adds up to "elixir/elixir". In newest version I changed it to always remove word elixir from the setting so it will work either when path provided or when folder provided.
Try it our with the newest version v1.3.7 if i remember well

1.3.8*

repo: iraasta/autocomplete-elixir


text:
[_50] request build() before up() in project (4-2-stable)

This step results in a rebuild of the image to be run if the
Dockerfile dependency has changed.  Note, this can happen due
to a switch between git branches.

So, there's no logic here to detect anything - it will always run the build() step... but usually, it will all be cached and quick.
Is that correct?

Yes, the build command uses cache by default (with an option for --no-cache). We can possibly expose this option in the future should we desire the ability to forego the cached images.

In fact, up() has an option called do_build that I considered suggesting as an alternative to this implementation, but that would require importing an enumeration called BuildAction and further entrench us in the Docker implementation. This, too, could be an improvement added as part of the abstraction effort of #8

Sold.   I vote to # it up.

Yes, I saw the do_build option too. Six, half dozen, I believe. (Ok, my 2 cents are in.)

authors: alanking d-w-moore trel


text:
Url Display Refactor

Fixes #442
I also added a few tests to ensure the conditional is covered correctly.

@untitaker If this looks good, I can rebase my commits.

Thanks!

authors: gsquire untitaker

repo: iron/iron


text:
Improvement of UI and fixing bugs

I can help improve the UI of the calculator page and fix a few bugs which appear while calculating the screen value. Kindly assign me this issue.

go ahead 🚀

Can I improve UI?
Please assign me!

Can I improve UI? Please assign me!

already assigned

so can create pull request?

so can create pull request for hacktoberfest without getting assign?

nope please create an issue first

authors: AyushSarode irshadmd tanisha-salvi

repo: irshadmd/Awesome-CSS-Projects


text:
How to use items from props?

Hi, I was wondering how you would go about using items from props instead of from a signal? I know I can just createMemo, but that doesn't seem to be working as I'm getting this error:

Thanks for this awesome library in both svelte and solid!

It seems that the memo doesn't update fast enough to prevent the error. I tried converting it to a signal based on props instead  of a memo based on props, and that worked sometimes, but I'm dealing with a very nested and complex data structure, so that has problems of it's own, trying to keep up with the updates when using a two way binding like approach which would be needed if I was going to use a signal here.

My data structure is recursive so I tried memoizing it like
  const dataChildren = createMemo(
    () =>
      props.data.children?.filter((i) => i.id !== SHADOW_PLACEHOLDER_ITEM_ID) ??
      []
  );

I got it by making the nested items as stores so my data type looks like this:
export type Data = {
  items: Accessor<Data[] | undefined>;
  setItems: (data: Data[]) => void;
  id: string;
  name: string;
};

repo: isaacHagoel/solid-dnd-directive


text:
Move to fsprojects?

Hi @isaacabraham  - since AzureStorageTypeProvider/ moved to http://github.com/fsprojects, would you like to move this there too?
cheers!
don

Yes sure, same process as last time?

Yep :)

https://github.com/fsprojects-transfer

Transferred. Also - I notice that the docs site is still under isaacabraham - will that change?

Your transfer is complete! http://fsprojects.github.io/FSharp.CloudAgent/

Please update https://github.com/fsprojects/FsProjectsAdmin/blob/master/BuildStatuses.md and any incoming links, e.g. those on http://fsharp.org (and search google for other incoming links)

Somehow the docs for http://isaacabraham.github.io/FSharp.CloudAgent/ should come down, not sure why they stay up.  Perhaps GitHub will get rid of them in due course.

authors: dsyme fsgit isaacabraham


text:
steps not working

Welcome to Auto-GPT!  run with '--help' for more information.
Create an AI-Assistant:  Enter the name of your AI and its role below. Entering nothing will load defaults.
Name your AI:  For example, 'Entrepreneur-GPT'
AI Name: TradeGPT
TradeGPT here!  I am at your service.
Describe your AI's role:  For example, 'an AI designed to autonomously develop and run businesses with the sole goal of increasing your net worth.'
TradeGPT is: fetch candlestick data
Enter up to 5 goals for your AI:  For example: Increase net worth, Grow Twitter Account, Develop and manage multiple businesses autonomously'
Enter nothing to load defaults, enter nothing when finished.
Goal 1: fetch candlestick data for the 1 hour chart on EURUSD
Goal 2: Terminate
Goal 3:
Using memory of type:  LocalCache
Using Browser:  chrome
THOUGHTS:  I will fetch candlestick data for the 1 hour chart on EURUSD. I can use the Alpha Vantage API to get this data.
REASONING:  I have used the Alpha Vantage API before to fetch financial data, and it is a reliable source for this type of data.
PLAN:

Use the Alpha Vantage API to fetch candlestick data for the 1 hour chart on EURUSD.
CRITICISM:  I need to ensure that I am using the correct API key and that the data is being fetched correctly.
NEXT ACTION:  COMMAND = do_nothing ARGUMENTS = {}
Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ...
Input:y
-=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=
SYSTEM:  Command do_nothing returned: No action performed.
THOUGHTS:  I will use the Alpha Vantage API to fetch candlestick data for the 1 hour chart on EURUSD. I need to ensure that I have the correct API key and that the data is being fetched correctly.
REASONING:  I have used the Alpha Vantage API before to fetch financial data, and it is a reliable source for this type of data. I need to ensure that I have the correct API key and that the data is being fetched correctly to avoid any errors.
PLAN:
Check that I have the correct API key for Alpha Vantage.
Use the Alpha Vantage API to fetch candlestick data for the 1 hour chart on EURUSD.
CRITICISM:  I need to ensure that I am using the correct API key and that the data is being fetched correctly.
NEXT ACTION:  COMMAND = do_nothing ARGUMENTS = {}
Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ...
Input:

Welcome to Auto-GPT! run with '--help' for more information. Create an AI-Assistant: Enter the name of your AI and its role below. Entering nothing will load defaults. Name your AI: For example, 'Entrepreneur-GPT' AI Name: TradeGPT TradeGPT here! I am at your service. Describe your AI's role: For example, 'an AI designed to autonomously develop and run businesses with the sole goal of increasing your net worth.' TradeGPT is: fetch candlestick data Enter up to 5 goals for your AI: For example: Increase net worth, Grow Twitter Account, Develop and manage multiple businesses autonomously' Enter nothing to load defaults, enter nothing when finished. Goal 1: fetch candlestick data for the 1 hour chart on EURUSD Goal 2: Terminate Goal 3: Using memory of type: LocalCache Using Browser: chrome THOUGHTS: I will fetch candlestick data for the 1 hour chart on EURUSD. I can use the Alpha Vantage API to get this data. REASONING: I have used the Alpha Vantage API before to fetch financial data, and it is a reliable source for this type of data. PLAN:

Use the Alpha Vantage API to fetch candlestick data for the 1 hour chart on EURUSD.
CRITICISM:  I need to ensure that I am using the correct API key and that the data is being fetched correctly.
NEXT ACTION:  COMMAND = do_nothing ARGUMENTS = {}
Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ...
Input:y
-=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=
SYSTEM:  Command do_nothing returned: No action performed.
THOUGHTS:  I will use the Alpha Vantage API to fetch candlestick data for the 1 hour chart on EURUSD. I need to ensure that I have the correct API key and that the data is being fetched correctly.
REASONING:  I have used the Alpha Vantage API before to fetch financial data, and it is a reliable source for this type of data. I need to ensure that I have the correct API key and that the data is being fetched correctly to avoid any errors.
PLAN:
Check that I have the correct API key for Alpha Vantage.
Use the Alpha Vantage API to fetch candlestick data for the 1 hour chart on EURUSD.
CRITICISM:  I need to ensure that I am using the correct API key and that the data is being fetched correctly.
NEXT ACTION:  COMMAND = do_nothing ARGUMENTS = {}
Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for ...
Input:

Sometimes it doesn't recognize the commands it has so just give it human input to use the command and it should use it.

authors: isaiahbjork shubhnsoni

repo: isaiahbjork/Auto-GPT-MetaTrader-Plugin


text:
ignore annotation not working

I wanted to set up first class for converting . I needed inherit Equatable class, so , I extended from that.
I use @ignor annotation top of props value. after run blow command on terminal.
flutter pub run build_runner build
I have an error about unsupported type, and use @ignore property.
Code sample
import 'package:equatable/equatable.dart';
import 'package:isar/isar.dart';
part 'city_entity.g.dart';
@collection
class City extends Equatable{
Id? id=Isar.autoIncrement;
final String name;
City({required this.name,this.id});
@override
@ignore
List<Object?> get props => throw UnimplementedError();
}

*****************  Error *************************

Unsupported type. Please annotate the property with @ignore.
package:equatable/src/equatable.dart:29:21
╷
29 │   List<Object?> get props;
│                     ^^^^^
╵
[INFO] Running build completed, took 2.9s
[INFO] Caching finalized dependency graph...
[INFO] Caching finalized dependency graph completed, took 45ms
[SEVERE] Failed after 3.0s
pub finished with exit code 1
Details

Platform: Windows
Flutter version: 3.3.2
Isar version: 3.0.1

Try @Collection(inheritance: false)

thanks, my problem solved with your way.

repo: isar/isar


text:
Features/endgame

Description

Add claimWin, offerDraw, claimTimeout, confirmGameEnded
Related Issue

Close #49 Backend verifies check mate
Close #73 Backend verifies stale mate
Motivation and Context

How Has This Been Tested?

Multiple tests in test_contract
Types of changes

[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to change)

Checklist contributor:

[x] My code follows the code style of this project.
[ ] My change requires a change to the documentation.
[ ] I have updated the documentation accordingly.
[x] I have added tests to cover my changes.
[x] All new and existing tests passed.

Checklist reviewer:

[ ] The code has been peer-reviewed by @YourNameHere

Looks good. Two suggestions:

Rename time to timeout
Document the new contract functions. Just one line comments to explain when they are supposed to be called.

I think timeout would be misleading, since this is not the time, when the other player will timeout. It is the time, when a player started the timeout.

Then how about timeoutStarted?

authors: Kyroy graup

repo: ise-ethereum/on-chain-chess


text:
IterativeImputer: Input contains NaN, infinity or a value too large for dtype('float64').

Not having this issue trying to impute the same dataset with KNN.
ValueError                                Traceback (most recent call last)
 in
1 #KNN(k=3).fit_transform(training_nan)
----> 2 IterativeImputer().fit_transform(training_nan)
~\Anaconda3\lib\site-packages\fancyimpute\iterative_imputer.py in fit_transform(self, X, y)
936                 Xt, predictor = self._impute_one_feature(
937                     Xt, mask_missing_values, feat_idx, neighbor_feat_idx,
--> 938                     predictor=None, fit_mode=True)
939                 predictor_triplet = ImputerTriplet(feat_idx,
940                                                    neighbor_feat_idx,
~\Anaconda3\lib\site-packages\fancyimpute\iterative_imputer.py in _impute_one_feature(self, X_filled, mask_missing_values, feat_idx, neighbor_feat_idx, predictor, fit_mode)
674             y_train = safe_indexing(X_filled[:, feat_idx],
675                                     ~missing_row_mask)
--> 676             predictor.fit(X_train, y_train)
677
678         # get posterior samples
~\Anaconda3\lib\site-packages\sklearn\linear_model\ridge.py in fit(self, X, y, sample_weight)
1146                                   gcv_mode=self.gcv_mode,
1147                                   store_cv_values=self.store_cv_values)
-> 1148             estimator.fit(X, y, sample_weight=sample_weight)
1149             self.alpha_ = estimator.alpha_
1150             if self.store_cv_values:
~\Anaconda3\lib\site-packages\sklearn\linear_model\ridge.py in fit(self, X, y, sample_weight)
1016         """
1017         X, y = check_X_y(X, y, ['csr', 'csc', 'coo'], dtype=np.float64,
-> 1018                          multi_output=True, y_numeric=True)
1019         if sample_weight is not None and not isinstance(sample_weight, float):
1020             sample_weight = check_array(sample_weight, ensure_2d=False)
~\Anaconda3\lib\site-packages\sklearn\utils\validation.py in check_X_y(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, warn_on_dtype, estimator)
754                     ensure_min_features=ensure_min_features,
755                     warn_on_dtype=warn_on_dtype,
--> 756                     estimator=estimator)
757     if multi_output:
758         y = check_array(y, 'csr', force_all_finite=True, ensure_2d=False,
~\Anaconda3\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
571         if force_all_finite:
572             _assert_all_finite(array,
--> 573                                allow_nan=force_all_finite == 'allow-nan')
574
575     shape_repr = _shape_repr(array.shape)
~\Anaconda3\lib\site-packages\sklearn\utils\validation.py in _assert_all_finite(X, allow_nan)
54                 not allow_nan and not np.isfinite(X).all()):
55             type_err = 'infinity' if allow_nan else 'NaN, infinity'
---> 56             raise ValueError(msg_err.format(type_err, X.dtype))
57
58

Please provide a self-contained example that triggers this bug, including a minimal example dataset defined inline.

I've done some investigation on my end, it seems that there is nothing wrong with specific rows of the dataset so I have no idea which subsets of the dataset I should provide. My dataset is of shape (4879, 67).
Here's what I'm running so far
No error:
IterativeImputer().fit_transform(training_nan[0:410])
IterativeImputer().fit_transform(training_nan[400:411])
IterativeImputer().fit_transform(training_nan[400:450])
IterativeImputer().fit_transform(training_nan[405:500])
IterativeImputer().fit_transform(training_nan[400:600])
Error:
IterativeImputer().fit_transform(training_nan[0:411])
IterativeImputer().fit_transform(training_nan[300:411])
IterativeImputer().fit_transform(training_nan[400:500])
IterativeImputer().fit_transform(training_nan[400:700])
IterativeImputer().fit_transform(training_nan[400:800])

Further experimentation shows that passing the dataset through standardscaler before imputing removes the error so it might be an error with the range of the variables?
i.e. this works:
IterativeImputer().fit_transform(StandardScaler().fit_transform(training_nan))

Weird that IterativeImputer().fit_transform(training_nan[0:410]) is fine but IterativeImputer().fit_transform(training_nan[0:411]) isn't.
Can you find a 10 row snippet that errors out and paste the actual data so I can try to reproduce on my end?

The smallest snippet I've found that errors out is about 150 rows

Maybe make a gist with that pasted in?

Here's the shortest subset I managed to find. It appears that if I drop the first column I can add more rows before it errors out.
https://pastebin.com/yK3vLHCD

Thanks, I'll take a look later this week at some point.
On Tue, Apr 9, 2019 at 10:37 AM Joshua Koh notifications@github.com wrote:

Here's the shortest subset I managed to find. It appears that if I drop
the first column I can add more rows before it errors out.
https://pastebin.com/yK3vLHCD
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Is it normal practice to scale before imputing? Also, I've seen many articles recommending MICE but it seems like it's been replaced with IterativeImputer. What is the equivalent for this code?
from fancyimpute import MICE
train_cols = list(train)
train = pd.DataFrame(MICE(verbose=False).complete(train))
train.columns = train_cols

I downloaded your data from pastebin and executed this code:
import pandas as pd
from fancyimpute import IterativeImputer

df = pd.read_csv('yK3vLHCD.txt', header=None) # name of the pastebin file
X = df.values
Xt = IterativeImputer().fit_transform(X)

It worked without issue. Are you sure you have the latest version?

As to your other questions:
(1) MICE can be easily built out of IterativeImputer instances. For an example, see this in-progress sklearn example: https://github.com/scikit-learn/scikit-learn/blob/2a95bd40006f15df9ba6537678067cd294f5832e/examples/impute/plot_multiple_imputation.py#L295
(2) Yes, it's fairly standard to preprocess data if the columns/features are very different. But it's not necessary.

I downloaded your data from pastebin and executed this code:
import pandas as pd
from fancyimpute import IterativeImputer

df = pd.read_csv('yK3vLHCD.txt', header=None) # name of the pastebin file
X = df.values
Xt = IterativeImputer().fit_transform(X)

It worked without issue. Are you sure you have the latest version?

I'm running into problems with the exact code you posted:
lib\site-packages\sklearn\linear_model\ridge.py:971: RuntimeWarning: overflow encountered in square
v = s ** 2

pip show fancyimpute
Name: fancyimpute
Version: 0.4.2

OK I think I know what's going on. The maximum value of your data
is 2590000. When I impute, the maximum imputed value is 115454960165484,
which is massive. So you're just overflowing. That's why scaling before
imputing solves the problem entirely. I am not sure why it's overflowing
for you but not for me, but I think it's safe to just divide every column
by its maximum absolute value and you shouldn't have any further issues.
On Wed, Apr 10, 2019 at 1:21 AM Joshua Koh notifications@github.com wrote:

I downloaded your data from pastebin and executed this code:
import pandas as pd
from fancyimpute import IterativeImputer
df = pd.read_csv('yK3vLHCD.txt', header=None) # name of the pastebin file
X = df.values
Xt = IterativeImputer().fit_transform(X)
It worked without issue. Are you sure you have the latest version?
I'm running into problems with the exact code you posted:
lib\site-packages\sklearn\linear_model\ridge.py:971: RuntimeWarning:
overflow encountered in square
v = s ** 2
pip show fancyimpute
Name: fancyimpute
Version: 0.4.2
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
https://github.com/iskandr/fancyimpute/issues/96#issuecomment-481589793,
or mute the thread
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.

repo: iskandr/fancyimpute


text:
value based categories to string

Describe the bug
value based categories need to be made string before generating categories.

[x] make sure value based categories are made to be strings before passing along to front-end
[x] add option for z-scoring value based category in Clustergrammer2 (not sure how this will work in terms of API)

net.cat(axis='col', zscore='Cat Type')

will add Z-scored value-based category later


text:
🛑 alianzatemporales.isolucion.co is down

In 4416cb3, alianzatemporales.isolucion.co (https://alianzatemporales.isolucion.co) was down:

HTTP code: 0
Response time: 0 ms

Resolved: alianzatemporales.isolucion.co is back up in 10246e6 after 11 minutes.

repo: isolucionco/EstadoIsolucionHosting


text:
iOS / iPadOS : Make the Menu bar/Header automatically hide

Feature description

Hey! Great works! Webssh is by far the best ssh client on iOS I have tried. But I want to share some improvement ideas with you.

Make the Menu bar/Header automatically hide. Screen space is precarious on mobile device. It will give me more space if I can toggle the header.

Thanks you!

like #630 ;)

Thank you so much @AInteriorB 🙏

authors: AInteriorB isontheline


text:
Increase gdb/exploitable.rs coverage

We need to code coverage of gdb/exploitable.rs in libcasr by tests
https://app.codecov.io/github/ispras/casr/blob/master/libcasr%2Fsrc%2Fgdb%2Fexploitable.rs

The coverage is still quite small
PR didn't make it much bigger

repo: ispras/casr


text:
Add notes to more accurately describe misaka library extensions

Added note to the "math" extension to clarify that it doesn't actually render any math, just marks it as ignored by the parser, so that it can be processed with external JavaScript libraries separately. Added notes to the "highlight", "tables" and "underline" extensions with the requirements for each to actually work when used.

Checklist

[x] All new and existing tests are passing
[x] (If adding features:) I have added tests to cover my changes
[x] (If docs changes needed:) I have updated the documentation accordingly.
[ ] I have added an entry to CHANGES.rst because this is a user-facing change or an important bugfix
[ ] I have written proper commit message(s)

What changes does this Pull Request introduce?

Documentation changes only -- clarifications on the functionality of misaka extensions.
Why is this necessary?

The existing documentation was incomplete.

Sorry for the wrong format, I've made the changes locally to squash the commits and re-phrase, then pushed it over the existing PR. I hope it's fine now, please have a look and let me know if other changes are necessary.

Thank you.
One last thing, please fix the commit title length. E.g. docs: markdown-config: Clarify misaka config would be succinct enough.
We'd want to avoid this:

Thank you for taking the time on the reviews as well.

One last thing, please fix the commit title length. E.g. docs: markdown-config: Clarify misaka config would be succinct enough.

Yeah, the funny thing is that I noticed that, and actually did a "reword" when I squashed the commits and in my local logs it appeared fine; but for some reason it didn't update when I pushed things to GitHub :-/ Could be that my local copy became a bit confused with all the re-basing happening from the other commits that come in, so I deleted everything, re-pulled and re-based again, I hope it's fine now?

Merged, thanks!

repo: isso-comments/isso


text:
"zoom into view" or "position into view"

Hi Ivan.  Great job on this component.  I love it!
One question:  say I'd like to zoom or re-position so that a given location is in view... Like, I have 5 venues that came up in a search, but one of them is off the current viewable area.  Is there a way that I could pass a prop to the component, a point or better yet an array of points, and then maybe a flag "zoom or re-position", so that it includes all of requested points?  Also maybe a buffer radius, so the outermost one's don't appear at the very edges.?
Is there a way to do this?
thank you so much
Artyom
Dear users,
before you will write anything, please use search,
then please search again.
Most of problems you have is just an one line solution -
there is no need to change this library,
just add anything you want in your code.
Please look at examples, docs, apis - all of this were created for you not for me ;-).

Please read this thread, and I think this https://github.com/istarkov/google-map-react/issues/3#issuecomment-272416565 is near what you need

authors: effortlesseffort istarkov

repo: istarkov/google-map-react


text:
make test fails

bin/test.sh: line 26: cd: /usr/local/google/home/howardjohn/go/src/istio.io/istio: No such file or directory
Istio is going into /usr/local/google/home/howardjohn/go/src/istio.io instead of /usr/local/google/home/howardjohn/go/src/istio.io/istio it looks like from investigating with kind-shell.
Will investigate more later

From the docs: https://docs.docker.com/engine/reference/commandline/cp/

DEST_PATH does not exist
DEST_PATH is created as a directory and the contents of the source directory are copied into this directory

repo: istio-ecosystem/istio-installer


text:
Translate telemetry fluentd into Chinese

@rootsongjc @fleeto pls review

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Hi @pigletfly. Thanks for your PR.
I'm waiting for a istio member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.
I understand the commands that are listed here.

Instructions for interacting with me using PR comments are available here.  If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

authors: istio-testing pigletfly


text:
Update release roadmap for 0.2 release.

Cleaned up 0.3, made up some stuff for 0.4.

Jenkins job istio.github.io/presubmit passed

Jenkins job istio.github.io/presubmit passed

Jenkins job istio.github.io/presubmit passed

authors: istio-testing smawson


text:
Fault injection support for HTTP2/gRPC

Fault injection is right now only supported for HTTP/1.1
A lot of microservices use gRPC/HTTP2 for intercommunication and Envoy can't be consistently configured in the same way to simulate faults in such use cases.

This would be useful for testing the usage of GCP APIs which often rely on gRPC.

I have confirmed that delay in Fault injection can support gRPC/HTTP2.
And the abort in Fault injection can NOT support gRPC/HTTP2 which is represented in source code:
            switch a := in.Abort.ErrorType.(type) {
		case *networking.HTTPFaultInjection_Abort_HttpStatus:
			out.Abort.ErrorType = &xdshttpfault.FaultAbort_HttpStatus{
				HttpStatus: uint32(a.HttpStatus),
			}
		default:
			log.Warnf("Non-HTTP type abort faults are not yet supported")
			out.Abort = nil
		}
            }

authors: ckcd dansiviter kbhattac

repo: istio/istio