text:
Unable to download batch of data from s3

Hello,
I am trying to download the dataset that is represented on your repository. The images and accompanying metadata will be very useful for a project I am currently working on. I am currently attempting the file transfer from the S3 bucket specified on your README to an EC2 instance. Currently, I am only attempting to download a single batch of data, 2020_11_19_TimepointDay4, just to validate that it can be done.
I am running the following command:
aws s3 cp --request-payer requester --recursive s3://jump-cellpainting-public/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/ . to download it to the current directory in my EC2 instance, but I am getting the following error:
download failed: s3://jump-cellpainting-public/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/images/<file_path> to images/<file_path> An error occurred (AccessDenied) when calling the GetObject operation: Access Denied
This occurs for every file in the batch. Even though the images are not downloaded, the corresponding directories are created with their structure intact. However, they are not populated with images.
I also attempted a direct s3 to s3 transfer, with no luck and a similar error:
aws s3 cp --request-payer requester --recursive s3://jump-cellpainting-public/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/ s3://ucbelement-jump-cellpainting/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/
getting the following error:
copy failed: s3://jump-cellpainting-public/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/images/<file_path> to s3://ucbelement-jump-cellpainting/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/images/<file_path> An error occurred (AccessDenied) when calling the CopyObject operation: Access Denied
Any suggestions on how to get this file transfer working or perhaps an alternate approach to access these images would be greatly appreciated.
Thank you.

Hi @NiketPatel9 Thank you for your interest in our dataset. I am tagging @shntnu who should be able to help you with this.

Can you try again but using the --no-sign-request flag?

@shntnu
I tried the following command: aws s3 cp --request-payer requester --recursive s3://jump-cellpainting-public/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/ . --no-sign-request and variations, and they all lead to the following error:
fatal error: An error occurred (AccessDenied) when calling the ListObjectsV2 operation: Access Denied. I am unsure as to what is causing these permission issues. Do you recommend another method of retrieving this dataset?

Oops, please try the original command again. The permissions were set incorrectly,
aws s3 cp --request-payer requester --recursive s3://jump-cellpainting-public/projects/2019_07_11_JUMP-CP-pilots/2020_11_19_TimepointDay4/ .

LMK if that doesn't work
Please note --request-payer requester  means that your AWS account will be charged for access.

@shntnu
Thank you! That seems to work. I am able to see the files now.

Awesome!
On Tue, Jul 20, 2021 at 12:10 PM NiketPatel9 @.***>
wrote:

@shntnu https://github.com/shntnu
Thank you! That seems to work. I am able to see the files now.
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@shntnu
One last thing, could you be a bit more specific in terms of costs of file transfer? I am in the US-east-1 region.

Have a look at the data transfer tab on this page
https://aws.amazon.com/s3/pricing/ to get per GB cost
To know the size of a specific folder, you can use the summarize option of
ls
https://docs.aws.amazon.com/cli/latest/reference/s3/ls.html
On Wed, Jul 21, 2021 at 12:06 PM NiketPatel9 @.***>
wrote:

@shntnu https://github.com/shntnu
One last thing, could you be a bit more specific in terms of costs of file
transfer? I am in the US-east-1 region.
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or unsubscribe
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authors: NiketPatel9 niranjchandrasekaran shntnu


text:
Fix codesigning issue on x86_64-apple-darwin

Closes #5

@odow does this indicate a problem with the signing of the Gurobi library, or is it a more general julia/mac issue?

I have no idea. I guess not (because I can use the gurobi_cl binary). It happens to other binaries:

What do you see as the output of run(`codesign -dvv $(Gurobi_jll.libgurobi)`) on an M-series Mac?

v10 appears with an adhoc signature and v11 with no signature, which seems odd. A normal Gurobi install has a proper signature on the library, but it's also a macos universal build while the conda packages only contain one architecture. I'll check if we can improve something. Thanks for resolving it here.

It might also be that the way we download it and unpack through Julia's Tar.jl... not sure. At minimum, we can work around the issue, and now I know what to look for in future.

I can load Gurobi 10 without any issues (this version doesn't have the --remove-signature in it), so maybe something has changed on your end:
(grb) pkg> add Gurobi_jll@10
   Resolving package versions...
   Installed Gurobi_jll ─ v10.0.3
     Failure artifact: Gurobi
  Downloaded artifact: Gurobi
    Updating `/private/tmp/grb/Project.toml`
⌃ [c018c7e6] ↓ Gurobi_jll v11.0.1 ⇒ v10.0.3
    Updating `/private/tmp/grb/Manifest.toml`
⌃ [c018c7e6] ↓ Gurobi_jll v11.0.1 ⇒ v10.0.3
        Info Packages marked with ⌃ have new versions available and may be upgradable.
Precompiling project...
  1 dependency successfully precompiled in 2 seconds. 2 already precompiled.

julia> using Gurobi_jll

julia> Gurobi_jll.libgurobi
"/Users/oscar/.julia/artifacts/9747c6ef8280f98316f91aea9accc9e5808d92ed/lib/libgurobi100.dylib"

julia> run(`codesign -dvv $(Gurobi_jll.libgurobi)`)
/Users/oscar/.julia/artifacts/9747c6ef8280f98316f91aea9accc9e5808d92ed/lib/libgurobi100.dylib: code object is not signed at all

source: gharchive/pull-request

authors: odow simonbowly

license: MIT

license_type: permissive

license_source: github-api


text:
c8cd94a77294c1cac22e75 can't work well with clink key binding

[x] I have read through the manual page (man fzf)
[x] I have the latest version of fzf
[x] I have searched through the existing issues

Info

OS

[ ] Linux
[ ] Mac OS X
[x] Windows
[ ] Etc.

Shell

[ ] bash
[ ] zsh
[ ] fish
[x] cmd

Problem / Steps to reproduce
I use clink+cmd to bind c-r to see history, after commit c8cd94a77294c1cac22e75  it can't work.
input c-r, and then input multi ctrl-n, fzf can't select.

clink config
C-r:▸   "luafunc:fzf_history"
function fzf_history(rl_buffer)
    str = assert(io.popen('clink history | fzf --reverse --height 40% --tac')):read('*all')
    str = string.sub(str,1,-2)
    --delete history line number
    str = string.gsub(str, "%s+%d+%s+", "").......
    rl_buffer:insert(str)
    rl_buffer:refreshline()
end

if not use clink keybinding. just run in cmd, it can work

work fine with last release 0.30

source: gharchive/issue

repo: junegunn/fzf


text:
Garbage escape symbols in preview window

Checklist

[X] I have read through the manual page (man fzf)
[X] I have searched through the existing issues
[X] For bug reports, I have checked if the bug is reproducible in the latest version of fzf

Output of fzf --version
0.53.0 (brew)
OS

[ ] Linux
[X] macOS
[ ] Windows
[ ] Etc.

Shell

[ ] bash
[ ] zsh
[X] fish

Problem / Steps to reproduce
When I run fzf with preview, it show some garbage that looks like escape symbols in the preview window.
fzf --preview 'cat {}':

Duplicate of https://github.com/junegunn/fzf/issues/1415

authors: eugene-babichenko junegunn


text:
Custom fuzzy completion for commands that are not first in the pipeline ($LBUFFER)

Checklist

[X] I have read through the manual page (man fzf)
[X] I have searched through the existing issues
[ ] For bug reports, I have checked if the bug is reproducible in the latest version of fzf

Output of fzf --version
0.56.0 (ff16877)
OS

[X] Linux
[ ] macOS
[ ] Windows
[ ] Etc.

Shell

[ ] bash
[X] zsh
[ ] fish

Problem / Steps to reproduce
This must have been discussed somewhere during the fzf history, but I can't seem to find any relevant issues or a clear statement that it's not possible in man or on github  or wiki (https://github.com/junegunn/fzf/wiki/Examples-(completion)#writing-custom-fuzzy-completion) :disappointed:
I'm trying to make a custom completion for llm command to complete available LLM models:
git di | llm -m **<cursor>

A naive handler is simply not triggered:
_fzf_complete_llm() {
  ARGS="$@"
  if [[ $ARGS == 'llm'* ]]; then
...

or to be more precise, instead, git handler is triggered (which I have a custom handler for):
_fzf_complete_git() {
    ARGS="$@"
...

so it looks like everything that has to do with that type of completion works under the assumption that the command we're completing is the first one? So how can I have a handler for command that is not the first one in the pipeline? Is that possible at all?
I guess I could in that specific case override my git handler, make it more smart at parsing the whole line and check where the "cursor" is, but what if it's a different command I don't have a handler for, e.g.:
xclip -o -selection clibboard | llm --system "translate to english" -m **<cursor>

It does work correctly in bash.
command env -i HOME=$HOME TERM=$TERM USER=$USER PATH=$PATH bash --norc
eval "$(fzf --bash)"

_fzf_complete_doge() {
  _fzf_complete --multi --reverse --prompt="doge> " -- "$@" < <(
    echo very
    echo wow
    echo such
    echo doge
  )
}
complete -F _fzf_complete_doge -o default -o bashdefault doge

[cmd1] | doge **

In zsh, the issue lies in the __fzf_extract_command function, which processes commands from left to right until the first command meets the requirement.
https://github.com/junegunn/fzf/blob/d938fdc496ccecfe5d747500927b675d31e1835a/shell/completion.zsh#L123-L135
As a workaround, you could try using process substitution so your intended command is placed first.
# process substitution
paste -sd ","  <(seq 15 -5 1)
# 15,10,5

# process substitution with redirection
paste -sd "," - < <(seq 15 -5 1)
# 15,10,5

PS: Your reported issue is still valid, don't close it.

@LangLangBart Oh, thanks for pointing it out.

authors: LangLangBart balta2ar junegunn


text:
Allow command modifiers for on-demand-loading commands

Before this commit, commands like this -
:tab Git diff HEAD^ HEAD

were interpreted like this -
:Git diff HEAD^ HEAD

This commit fixes that issue.

I think this needs a version guard because <mods> is a relatively new feature (v7.4.1898)

@tomtomjhj 2016 is relatively new? For whom?
I'm not trying to be sarcastic... I am genuinely interested in knowing use-cases where people need to use vim versions as old as 2016.

TBH, I'd completely forgotten about this PR 😅

Of course, I believe 2016 feature is old enough to use without version check in 2021.
The only reason I think 2016 feature is relatively new is that vim-plug has checks for even older stuff, e.g.

vim 7.3.442, 2012 https://github.com/junegunn/vim-plug/blob/c9971346bb486ccff354aaee8606cc0d2d5a0c97/plug.vim#L589
git 2.0 2014 https://github.com/junegunn/vim-plug/commit/2f4e28161e114cc4b34a9b8ff0f51f4906f37b0b

I'm one of those people with old Vim versions so add a version,feature checks until @junegunn changes his mind on the minimum Vim/Neovim versions.

@janlazo Will do (please wait a few days, I am currently AFK).
I am curious about why you are still using such an old version of vim.
Can you please explain? 😅

One of the strong selling points of vim-plug is its excellent backward compatibility. Most of its features work as expected even with Vim 7.0 which means that it works virtually everywhere. There can be various reasons you can't or won't use the latest versions of Vim (company guidelines, security requirements, systems with tiny resources, etc.), and still, you don't have to worry about vim-plug not working. That's a great thing and we're not going to lose that.

@subnut Old company servers. Difficult to install or upgrade dev packages, even if it's just a newer version of Vim. Some of my colleagues don't know or care that vi,vim,$EDITOR is any version of vim. I doubt anybody there is aware of :terminal command. Some OS packages of vim disable some features are missing a few patches that I need to reliably use the new features (ie. :packadd).

Tried implementing the version guard in 82ffd4f
Please check if the implementation is correct

@janlazo @junegunn What is blocking this PR from being merged?

authors: janlazo junegunn subnut tomtomjhj

repo: junegunn/vim-plug


text:
Jars on Maven published with incorrect version string for scala version

The Maven repo of for the scala-kernel and related packages can be found here:
https://repo1.maven.org/maven2/sh/almond/
Notably, in Maven, all scala jar packages have a suffix with _scala-version. However, they all only use the first minor version segment, and no others, so for instance all 2.11 scala jars say 2.11 and not 2.11.12.
Since the Almond packages have the entire version string (2.11.12), it breaks a bunch of tooling that can't resolve the package. Even though Ivy can find it with some effort, getting Ivy to download it doesn't work and requires hacks.

It's not an error, it corresponds to "full" cross-versioning (briefly mentioned in the SBT doc, look for CrossVersion.full). It means that dependency depends on a particular patch version of scala (x.y.z), rather than just a major / minor version (x.y). Almond depends on the scala-compiler (via Ammonite), so depends on a particular patch version of scala.
That would allow to release a given version of Almond against multiple scala patch versions (2.12.6 and a 2.12.7 say).
I'm surprised this isn't handled in one way or another from Maven.

We were able to get this working. Our trouble was due to a quirk of our Pants build system.
As we're evaluating different Scala kernels we're interested in ones which isolate us from their own dependencies, so we can upgrade at our own pace. Do you know what exactly caused Ammonite to switch over to versioning this way?  Looks like it happened sometime between May and August of this year based on Maven releases. Is it because Ammonite uses private/less-public APIs which are known to break in the patch-evel upgrades? Or is it just known that the scala.tools.nsc namespace doesn't adhere to the general policy around binary compatibility between the patch versions?

Answering my own Q, seems NSC is not binary-compatible across patches, as evidenced by this diff report between 2.12.1 and 2.12.2.

Don't know if that's going to solve your issue, but you can depend on scala-kernel-api via a provided dependency (pulled only during compilation basically). Your module will then be usable from other scala versions (with the same major / minor number, but not necessarily the same patch number). The almond-spark module in this repository does that.

Feel free to close this issue; thanks @alexarchambault.

authors: alexarchambault jameskoch2 sjwalter

repo: jupyter-scala/jupyter-scala


text:
Create footer

Creates a footer for main pages of jupyter book. Resolves #233

In general this looks quite good! Thanks for the addition :-)
A couple quick thoughts:

The tests aren't passing because of code style reasons, not because a test didn't work. Check out the error messages here: https://circleci.com/gh/jupyter/jupyter-book/1218#tests/containers/0
Do you think you could add a link to the default footer text that links to https://github.com/jupyter/jupyter-book/graphs/contributors ?

once the tests pass, we can demo what the site looks like and then see if there are any style changes to make!

also, @emdupre should check this out too! :-)

I think the test failures are actually from this file:
https://github.com/jupyter/jupyter-book/blob/master/jupyter_book/commands/version.py
if you delete argparse and sys from there they should pass

Hey @martinagvilas - this is looking great! One quick comment: there's a big margin at the bottom of the footer that I think it is inheriting from another CSS rule:

Here's a link to the demo:
https://1220-137292803-gh.circle-artifacts.com/0/html/guide/01_overview.html
Think that you can add a CSS rule explicitly for the footer class that makes the bottom margin a bit smaller? Then I think this is ready to go!

Makes sense! How does it look now?

:tada: : sparkles: Sorry for being slow on this, but I'm so excited to see this go in !! I'll look at the artifacts after https://github.com/jupyter/jupyter-book/commit/11df89802652d4e324d57ca87c8724f7619f316c , but I think this might be ready !!

I think it looks great! I'm +1 on merge - will give a few moments to see if @emdupre has thoughts otherwise I'll merge away before I have to grab my flight tonight!

authors: choldgraf emdupre martinagvilas

repo: jupyter/jupyter-book


text:
Fix typo

@willingc

Thanks @roshancvp!

authors: roshancvp willingc

repo: jupyter/jupyterlab

license_source: bigquery


text:
Save and Export Notebook As... doesn't work!

Description
Currently, I'm using JupyterLab desktop Version 3.3.4-2. I can't export my .ipynb file as .py using Save and Export Notebook As...! JupyterLab doesn't display the inner panel to see the options of Save and Export Notebook As...!

Reproduce

Open or create a new notebook
try to export it as a .py file using File>Save and Export Notebook As...
Click on Save and Export Notebook As...
Nothing shows up!

Expected behavior

A panel that at least contains the .py format.
Context

Operating System and version: Windows 10.0.19043
JupyterLab-Desktop version: 3.3.4-2
Installer: .exe

Troubleshoot Output

Paste the output from running `jupyter troubleshoot` from the terminal inside of JupyterLab-Desktop here.
You may want to sanitize the paths in the output.

Browser Output (required for interface issues after loading)

Paste the output from the DevTools JavaScript console here, if applicable.

Logs (required for issues with loading, server and startup)

Paste the logs from the `main.log` file here (optionally also from `renderer.log`).

In the conda environment that you chose ("Python3.10"), is there nbconvert installed? If not, could you try installing it? Could you provide a full conda list for that environment?

Yes, I installed it a long time ago:

As you can see, the name of conda env matches the name of env in the JupyterLab (look te the picture I've provided in the Reproduce section).
conda list:
# Name                    Version                   Build  Channel
_py-xgboost-mutex         2.0                       cpu_0    conda-forge
about-time                3.1.1                    pypi_0    pypi
aiohttp                   3.8.1                    pypi_0    pypi
aiosignal                 1.2.0                    pypi_0    pypi
alive-progress            2.4.1                    pypi_0    pypi
altair                    4.2.0              pyhd8ed1ab_1    conda-forge
altgraph                  0.17.2                   pypi_0    pypi
anyio                     3.6.1           py310h5588dad_0    conda-forge
arch-py                   5.2.0           py310h2873277_2    conda-forge
argon2-cffi               21.3.0             pyhd8ed1ab_0    conda-forge
argon2-cffi-bindings      21.2.0          py310he2412df_2    conda-forge
asttokens                 2.0.5              pyhd8ed1ab_0    conda-forge
async-timeout             4.0.2                    pypi_0    pypi
asyncio                   3.4.3                    pypi_0    pypi
atomicwrites              1.4.0                    pypi_0    pypi
attrs                     21.4.0             pyhd8ed1ab_0    conda-forge
auto-py-to-exe            2.15.0                   pypi_0    pypi
autograd                  1.4                pyhd8ed1ab_0    conda-forge
babel                     2.10.3             pyhd8ed1ab_0    conda-forge
backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
backports                 1.0                        py_2    conda-forge
backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge
beautifulsoup4            4.10.0             pyh06a4308_0
bleach                    5.0.1              pyhd8ed1ab_0    conda-forge
bokeh                     2.4.3           py310h5588dad_0    conda-forge
bottle                    0.12.19                  pypi_0    pypi
bottle-websocket          0.2.9                    pypi_0    pypi
bottleneck                1.3.4           py310h2873277_1    conda-forge
brotli                    1.0.9                h8ffe710_7    conda-forge
brotli-bin                1.0.9                h8ffe710_7    conda-forge
brotlipy                  0.7.0           py310he2412df_1004    conda-forge
bs4                       0.0.1                    pypi_0    pypi
bzip2                     1.0.8                h8ffe710_4    conda-forge
ca-certificates           2022.6.15            h5b45459_0    conda-forge
certifi                   2022.6.15       py310h5588dad_0    conda-forge
cffi                      1.15.1          py310hcbf9ad4_0    conda-forge
cftime                    1.6.1           py310h2873277_0    conda-forge
charset-normalizer        2.1.0              pyhd8ed1ab_0    conda-forge
click                     8.0.3                    pypi_0    pypi
cloudpickle               2.1.0              pyhd8ed1ab_0    conda-forge
cma                       2.7.0                      py_0    conda-forge
cmocean                   2.0                      pypi_0    pypi
colorama                  0.4.5              pyhd8ed1ab_0    conda-forge
cryptography              37.0.2          py310ha857299_0    conda-forge
curl                      7.83.1               h789b8ee_0    conda-forge
cvxopt                    1.3.0           py310h60867fd_1    conda-forge
cvxpy                     1.2.1                    pypi_0    pypi
cx_freeze                 6.10            py310he2412df_0    conda-forge
cx_logging                3.0             py310he2412df_4    conda-forge
cycler                    0.11.0             pyhd8ed1ab_0    conda-forge
cython                    0.29.30         py310h8a704f9_0    conda-forge
cytoolz                   0.11.2          py310he2412df_2    conda-forge
dask                      2022.5.2           pyhd8ed1ab_0    conda-forge
dask-core                 2022.5.2           pyhd8ed1ab_0    conda-forge
datetime                  4.4                      pypi_0    pypi
debugpy                   1.6.0           py310h8a704f9_0    conda-forge
decorator                 5.1.1              pyhd8ed1ab_0    conda-forge
defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
distributed               2022.5.2           pyhd8ed1ab_0    conda-forge
docopt                    0.6.2                    pypi_0    pypi
dsdp                      5.8               h6e01ec9_1203    conda-forge
ecos                      2.0.10                   pypi_0    pypi
eel                       0.12.4                   pypi_0    pypi
emoji                     1.6.3              pyhd8ed1ab_0    conda-forge
entrypoints               0.4                pyhd8ed1ab_0    conda-forge
et_xmlfile                1.0.1                   py_1001    conda-forge
executing                 0.8.3              pyhd8ed1ab_0    conda-forge
fftw                      3.3.10          nompi_h77347bd_102    conda-forge
finpy-tse                 1.0.0                    pypi_0    pypi
flit-core                 3.7.1              pyhd8ed1ab_0    conda-forge
fonttools                 4.33.3          py310he2412df_0    conda-forge
freetype                  2.10.4               h546665d_1    conda-forge
frozenlist                1.3.0                    pypi_0    pypi
fsspec                    2022.5.0           pyhd8ed1ab_0    conda-forge
future                    0.18.2          py310h5588dad_5    conda-forge
gekko                     1.0.4                    pypi_0    pypi
gettext                   0.19.8.1          ha2e2712_1008    conda-forge
gevent                    21.12.0                  pypi_0    pypi
gevent-websocket          0.10.1                   pypi_0    pypi
glib                      2.70.2               h7755175_4    conda-forge
glib-tools                2.70.2               h7755175_4    conda-forge
glpk                      4.65              h8ffe710_1004    conda-forge
grapheme                  0.6.0                    pypi_0    pypi
greenlet                  1.1.2                    pypi_0    pypi
gsl                       2.7                  hdfb1a43_0    conda-forge
gst-plugins-base          1.20.3               he07aa86_0    conda-forge
gstreamer                 1.20.3               hdff456e_0    conda-forge
handcalcs                 1.6.0              pyhd8ed1ab_0    conda-forge
hdf4                      4.2.15               h0e5069d_3    conda-forge
hdf5                      1.12.1          nompi_h2a0e4a3_104    conda-forge
heapdict                  1.0.1                      py_0    conda-forge
html5lib                  1.1                pyhd3eb1b0_0
icu                       70.1                 h0e60522_0    conda-forge
idna                      3.3                pyhd8ed1ab_0    conda-forge
importlib-metadata        4.11.4          py310h5588dad_0    conda-forge
importlib_metadata        4.11.4               hd8ed1ab_0    conda-forge
importlib_resources       5.8.0              pyhd8ed1ab_0    conda-forge
iniconfig                 1.1.1                    pypi_0    pypi
innerscope                0.5.1              pyhd8ed1ab_0    conda-forge
intel-openmp              2022.1.0          h57928b3_3787    conda-forge
investpy                  1.0.8                    pypi_0    pypi
ipykernel                 6.15.0             pyh025b116_0    conda-forge
ipympl                    0.8.7              pyhd8ed1ab_0    conda-forge
ipynbname                 2021.3.2                 pypi_0    pypi
ipyparams                 0.2.1                    pypi_0    pypi
ipython                   8.2.0           py310haa95532_0
ipython_genutils          0.2.0                      py_1    conda-forge
ipywidgets                7.7.1              pyhd8ed1ab_0    conda-forge
jdatetime                 4.1.0              pyhd8ed1ab_0    conda-forge
jedi                      0.18.1          py310h5588dad_1    conda-forge
jinja2                    3.1.2              pyhd8ed1ab_1    conda-forge
joblib                    1.1.0              pyhd8ed1ab_0    conda-forge
jpeg                      9e                   h8ffe710_2    conda-forge
json5                     0.9.5              pyh9f0ad1d_0    conda-forge
jsonschema                4.6.1              pyhd8ed1ab_0    conda-forge
jupyter                   1.0.0           py310haa95532_7
jupyter_client            7.3.4              pyhd8ed1ab_0    conda-forge
jupyter_console           6.4.4              pyhd8ed1ab_0    conda-forge
jupyter_contrib_core      0.3.3                      py_2    conda-forge
jupyter_contrib_nbextensions 0.5.1              pyhd8ed1ab_2    conda-forge
jupyter_core              4.10.0          py310h5588dad_0    conda-forge
jupyter_highlight_selected_word 0.2.0           py310h5588dad_1005    conda-forge
jupyter_latex_envs        1.4.6           pyhd8ed1ab_1002    conda-forge
jupyter_nbextensions_configurator 0.4.1              pyhd8ed1ab_2    conda-forge
jupyter_server            1.13.5             pyhd3eb1b0_0
jupyterlab                3.3.2              pyhd3eb1b0_0
jupyterlab_pygments       0.2.2              pyhd8ed1ab_0    conda-forge
jupyterlab_server         2.14.0             pyhd8ed1ab_1    conda-forge
jupyterlab_widgets        1.1.1              pyhd8ed1ab_0    conda-forge
kiwisolver                1.4.3           py310h476a331_0    conda-forge
krb5                      1.19.3               h1176d77_0    conda-forge
lcms2                     2.12                 h2a16943_0    conda-forge
lerc                      3.0                  h0e60522_0    conda-forge
libblas                   3.9.0              15_win64_mkl    conda-forge
libbrotlicommon           1.0.9                h8ffe710_7    conda-forge
libbrotlidec              1.0.9                h8ffe710_7    conda-forge
libbrotlienc              1.0.9                h8ffe710_7    conda-forge
libcblas                  3.9.0              15_win64_mkl    conda-forge
libclang                  14.0.6          default_h77d9078_0    conda-forge
libclang13                14.0.6          default_h77d9078_0    conda-forge
libcurl                   7.83.1               h789b8ee_0    conda-forge
libdeflate                1.12                 h8ffe710_0    conda-forge
libffi                    3.4.2                h8ffe710_5    conda-forge
libglib                   2.70.2               h3be07f2_4    conda-forge
libiconv                  1.16                 he774522_0    conda-forge
liblapack                 3.9.0              15_win64_mkl    conda-forge
liblief                   0.11.5               h0e60522_1    conda-forge
libnetcdf                 4.8.1           nompi_h1cc8e9d_102    conda-forge
libogg                    1.3.4                h8ffe710_1    conda-forge
libpng                    1.6.37               h1d00b33_2    conda-forge
libretranslatepy          2.1.1                    pypi_0    pypi
libsodium                 1.0.18               h8d14728_1    conda-forge
libssh2                   1.10.0               h680486a_2    conda-forge
libta-lib                 0.4.0                he774522_0    conda-forge
libtiff                   4.4.0                h2ed3b44_1    conda-forge
libvorbis                 1.3.7                h0e60522_0    conda-forge
libwebp                   1.2.2                h57928b3_0    conda-forge
libwebp-base              1.2.2                h8ffe710_1    conda-forge
libxcb                    1.13              hcd874cb_1004    conda-forge
libxgboost                1.5.1            cpu_h110a20b_2    conda-forge
libxml2                   2.9.14               hf5bbc77_2    conda-forge
libxslt                   1.1.35               h34f844d_0    conda-forge
libzip                    1.9.2                hfed4ece_0    conda-forge
libzlib                   1.2.12               h8ffe710_1    conda-forge
llvmlite                  0.38.1          py310h2c03ce5_0    conda-forge
locket                    1.0.0              pyhd8ed1ab_0    conda-forge
lxml                      4.7.1           py310h0e454a5_0    conda-forge
lz4                       4.0.0           py310h7b86b54_2    conda-forge
lz4-c                     1.9.3                h8ffe710_1    conda-forge
m2w64-gcc-libgfortran     5.3.0                         6    conda-forge
m2w64-gcc-libs            5.3.0                         7    conda-forge
m2w64-gcc-libs-core       5.3.0                         7    conda-forge
m2w64-gmp                 6.1.0                         2    conda-forge
m2w64-libwinpthread-git   5.0.0.4634.697f757               2    conda-forge
markupsafe                2.1.1           py310he2412df_1    conda-forge
matplotlib                3.5.1           py310h5588dad_0    conda-forge
matplotlib-base           3.5.1           py310hd77b12b_1
matplotlib-inline         0.1.3              pyhd8ed1ab_0    conda-forge
mistune                   0.8.4           py310he2412df_1005    conda-forge
mkl                       2022.1.0           h6a75c08_874    conda-forge
more-itertools            8.12.0             pyhd3eb1b0_0    anaconda
mplfinance                0.12.8b9           pyhd8ed1ab_0    conda-forge
msgpack-python            1.0.4           py310h476a331_0    conda-forge
msys2-conda-epoch         20160418                      1    conda-forge
multidict                 6.0.2                    pypi_0    pypi
multitasking              0.0.10                   pypi_0    pypi
munkres                   1.1.4              pyh9f0ad1d_0    conda-forge
nbclassic                 0.3.7              pyhd8ed1ab_0    conda-forge
nbclient                  0.5.13             pyhd8ed1ab_0    conda-forge
nbconvert                 6.1.0           py310haa95532_0
nbformat                  5.4.0              pyhd8ed1ab_0    conda-forge
nest-asyncio              1.5.5              pyhd8ed1ab_0    conda-forge
netcdf4                   1.5.8           nompi_py310h5489b47_101    conda-forge
notebook                  6.4.8           py310haa95532_0
notebook-shim             0.1.0              pyhd8ed1ab_0    conda-forge
numba                     0.55.1          py310h4ed8f06_0
numbagg                   0.2.1                    pypi_0    pypi
numpy                     1.23.1                   pypi_0    pypi
openjpeg                  2.4.0                hb211442_1    conda-forge
openpyxl                  3.0.9              pyhd3eb1b0_0
openssl                   1.1.1q               h8ffe710_0    conda-forge
osqp                      0.6.2.post5              pypi_0    pypi
packaging                 21.3               pyhd8ed1ab_0    conda-forge
pandas                    1.4.3           py310hf5e1058_0    conda-forge
pandas-datareader         0.10.0             pyh6c4a22f_0    conda-forge
pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
parso                     0.8.3              pyhd8ed1ab_0    conda-forge
partd                     1.2.0              pyhd8ed1ab_0    conda-forge
pathlib2                  2.3.7.post1              pypi_0    pypi
patsy                     0.5.2              pyhd8ed1ab_0    conda-forge
pcre                      8.45                 h0e60522_0    conda-forge
pefile                    2021.9.3                 pypi_0    pypi
persiantools              3.0.0                    pypi_0    pypi
pickleshare               0.7.5                   py_1003    conda-forge
pillow                    9.2.0           py310h767b3fd_0    conda-forge
pip                       21.2.4          py310haa95532_0
pipreqs                   0.4.11                   pypi_0    pypi
plotly                    4.14.3                   pypi_0    pypi
pluggy                    1.0.0                    pypi_0    pypi
prometheus_client         0.14.1             pyhd8ed1ab_0    conda-forge
prompt-toolkit            3.0.30             pyha770c72_0    conda-forge
prompt_toolkit            3.0.30               hd8ed1ab_0    conda-forge
property-cached           1.6.4                      py_0    conda-forge
psutil                    5.9.1           py310he2412df_0    conda-forge
pthread-stubs             0.4               hcd874cb_1001    conda-forge
pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
py                        1.11.0                   pypi_0    pypi
py-lief                   0.11.5          py310h8a704f9_1    conda-forge
py-xgboost                1.5.1           cpu_py310h2690a58_2    conda-forge
pycparser                 2.21               pyhd8ed1ab_0    conda-forge
pyenchant                 3.2.2                    pypi_0    pypi
pygments                  2.12.0             pyhd8ed1ab_0    conda-forge
pyinstaller               4.9                      pypi_0    pypi
pyinstaller-hooks-contrib 2022.0                   pypi_0    pypi
pymoo                     0.5.0           py310h2873277_1    conda-forge
pyopenssl                 22.0.0             pyhd8ed1ab_0    conda-forge
pyparsing                 3.0.9              pyhd8ed1ab_0    conda-forge
pyportfolioopt            1.5.3                    pypi_0    pypi
pyqt                      5.15.4          py310hbabf5d4_1    conda-forge
pyqt5-sip                 12.9.0          py310h8a704f9_1    conda-forge
pyrsistent                0.18.1          py310he2412df_1    conda-forge
pysocks                   1.7.1           py310h5588dad_5    conda-forge
pytest                    7.1.2                    pypi_0    pypi
python                    3.10.1          h9a09f29_2_cpython    conda-forge
python-dateutil           2.8.2              pyhd3eb1b0_0
python-fastjsonschema     2.15.3             pyhd8ed1ab_0    conda-forge
python_abi                3.10                    2_cp310    conda-forge
pytz                      2021.3             pyhd3eb1b0_0
pytz-deprecation-shim     0.1.0.post0              pypi_0    pypi
pywin32                   303             py310he2412df_0    conda-forge
pywin32-ctypes            0.2.0                    pypi_0    pypi
pywinpty                  2.0.5           py310h00ffb61_1    conda-forge
pyyaml                    6.0             py310he2412df_4    conda-forge
pyzmq                     23.2.0          py310h73ada01_0    conda-forge
qdarkstyle                3.0.3              pyhd8ed1ab_0    conda-forge
qdldl                     0.1.5.post2              pypi_0    pypi
qt-main                   5.15.4               h467ea89_2    conda-forge
qtconsole                 5.3.1              pyhd8ed1ab_0    conda-forge
qtconsole-base            5.3.1              pyha770c72_0    conda-forge
qtpy                      2.1.0              pyhd8ed1ab_0    conda-forge
requests                  2.28.1             pyhd8ed1ab_0    conda-forge
retrying                  1.3.3                    pypi_0    pypi
rpy2                      3.1.0                    pypi_0    pypi
scikit-learn              1.1.1           py310h4dafddf_0    conda-forge
scipy                     1.8.1           py310h33db832_0    conda-forge
scs                       3.2.0                    pypi_0    pypi
seaborn                   0.10.1                   pypi_0    pypi
send2trash                1.8.0              pyhd8ed1ab_0    conda-forge
setuptools                63.1.0          py310h5588dad_0    conda-forge
shap                      0.40.0          py310hf5e1058_1    conda-forge
simplegeneric             0.8.1                    pypi_0    pypi
sip                       6.5.1           py310h8a704f9_2    conda-forge
six                       1.16.0             pyh6c4a22f_0    conda-forge
slicer                    0.0.7              pyhd8ed1ab_0    conda-forge
sniffio                   1.2.0           py310h5588dad_3    conda-forge
sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
soupsieve                 2.3.1              pyhd8ed1ab_0    conda-forge
sqlite                    3.39.0               h8ffe710_0    conda-forge
stack_data                0.3.0              pyhd8ed1ab_0    conda-forge
statsmodels               0.13.2          py310h2bbff1b_0
sviewgui                  1.0                      pypi_0    pypi
ta-lib                    0.4.19          py310h2873277_3    conda-forge
tabulate                  0.8.9              pyhd8ed1ab_0    conda-forge
tbb                       2021.5.0             h2d74725_1    conda-forge
tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
tenacity                  8.0.1              pyhd8ed1ab_0    conda-forge
terminado                 0.15.0          py310h5588dad_0    conda-forge
testpath                  0.6.0              pyhd8ed1ab_0    conda-forge
threadpoolctl             3.1.0              pyh8a188c0_0    conda-forge
tk                        8.6.12               h8ffe710_0    conda-forge
toml                      0.10.2             pyhd8ed1ab_0    conda-forge
tomli                     2.0.1                    pypi_0    pypi
toolz                     0.11.2             pyhd8ed1ab_0    conda-forge
tornado                   6.2             py310he2412df_0    conda-forge
tqdm                      4.64.0             pyhd8ed1ab_0    conda-forge
traitlets                 5.3.0              pyhd8ed1ab_0    conda-forge
translate                 3.6.1                    pypi_0    pypi
typing-extensions         3.10.0.2                 pypi_0    pypi
typing_extensions         4.3.0              pyha770c72_0    conda-forge
tzdata                    2022.1                   pypi_0    pypi
tzlocal                   4.2                      pypi_0    pypi
ucrt                      10.0.20348.0         h57928b3_0    conda-forge
unicodedata2              14.0.0          py310he2412df_1    conda-forge
unidecode                 1.3.4                    pypi_0    pypi
unsync                    1.4.0                    pypi_0    pypi
urllib3                   1.26.9             pyhd8ed1ab_0    conda-forge
vc                        14.2                 hb210afc_6    conda-forge
vega_datasets             0.9.0              pyhd3deb0d_0    conda-forge
vs2015_runtime            14.29.30037          h902a5da_6    conda-forge
wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
webencodings              0.5.1                      py_1    conda-forge
websocket-client          1.3.3              pyhd8ed1ab_0    conda-forge
wheel                     0.37.1             pyhd8ed1ab_0    conda-forge
whichcraft                0.6.1                    pypi_0    pypi
widgetsnbextension        3.6.1              pyha770c72_0    conda-forge
win_inet_pton             1.1.0           py310h5588dad_4    conda-forge
winpty                    0.4.3                         4    conda-forge
xarray                    2022.3.0           pyhd8ed1ab_0    conda-forge
xlrd                      2.0.1              pyhd3eb1b0_0
xorg-libxau               1.0.9                hcd874cb_0    conda-forge
xorg-libxdmcp             1.1.3                hcd874cb_0    conda-forge
xz                        5.2.5                h62dcd97_1    conda-forge
yaml                      0.2.5                h8ffe710_2    conda-forge
yarg                      0.1.9                    pypi_0    pypi
yarl                      1.7.2                    pypi_0    pypi
yfinance                  0.1.72                   pypi_0    pypi
zeromq                    4.3.4                h0e60522_1    conda-forge
zict                      2.2.0              pyhd8ed1ab_0    conda-forge
zipp                      3.8.0              pyhd8ed1ab_0    conda-forge
zlib                      1.2.12               h8ffe710_1    conda-forge
zope-event                4.5.0                    pypi_0    pypi
zope-interface            5.4.0                    pypi_0    pypi
zstd                      1.5.2                h6255e5f_2    conda-forge

Based on This, I guess the source of the issue is my Python version, which is 3.10.1.

I appear to be having the same issue. How do you get back to python 3.9?

@tttucker34
How do you get back to python 3.9?

wdym on this? You can have several Python patches via environments.

@tttucker34 are you still having issues with this? if so, can you retry with the latest version (3.6.1-1)?

Just as a data point, I have this on python 3.9.11 too:
(experiments4) C:\Users\alvarobarbeira>conda list nbconvert
# packages in environment at C:\Users\alvarobarbeira\miniconda3\envs\experiments4:
#
# Name                    Version                   Build  Channel
nbconvert                 5.5.0                      py_0    anaconda

(experiments4) C:\Users\alvarobarbeira>python --version
Python 3.9.11

I was pretty sure this was working last time I used this environment.
So I created a new one by updating nbconvert and I now get the dialog :
(experiments5) C:\Users\alvarobarbeira>python --version
Python 3.9.11

(experiments5) C:\Users\alvarobarbeira>conda list nbconvert
# packages in environment at C:\Users\alvarobarbeira\miniconda3\envs\experiments5:
#
# Name                    Version                   Build  Channel
nbconvert                 6.4.4            py39haa95532_0    anaconda

closing since no update for a long time from the original poster.

i am having the same issue. I just installe dthe latest version of Jupyter Desktop. Prior to it everything worked

I recommend reopening it. I'm having the same issue. I've done a pip install --update jupyterlab and it's still not working. I'm running Python 3.9.

Having the same issue as well.

I started having this issue recently as well

Also have this issue.

Also have the same issue.

Same here

I solved my problem. I had created a custom notebook exporter template incorrectly. It was preventing any of the built-in notebook exporter templates from showing up. Once I corrected my exporter template, the others came back. Seems like this is an issue of poor error handling. It should be changed to ignore exporter templates with errors, without hiding the correctly built ones.

Same issue as well

Just chipping in to say that I initially found this to be the case on python 3.12.1. I resolved by running
pip uninstall jupyter_contrib_nbextensions

Same problem :( nbconvert is installed.

+1

I get this issue too

Same issue.

Another option is to utilize Google Colab for the conversion process. By uploading your IPYNB file to Google Colab, you can leverage its computing resources to perform the conversion to your desired format. A detailed guide on how to convert IPYNB to HTML in Google Colab can be found in this Stack Overflow thread:
(https://stackoverflow.com/questions/53460051/convert-ipynb-notebook-to-html-in-google-colab)

Same issue, jupyterlab 4.0.5

couple of notes here:

make sure you have a notebook open and activated as the current tab when you open the export menu.
are you having the issue in the bundled Python environment or a custom environment?
can you try with the JupyterLab web app, are you able to reproduce? You can launch a terminal in the environment and run jupyter lab to launch the web app.

I'm in the same boat.  running in venv, python 3.10 ubuntu 22.  juypyterlab v4.1. installed via pip.  Looks like this problem has been open for quite some time.  Guess I'm going to use nbconvert.
EDIT: dropped back to 3.6 and things seem to work.
Package                           Version
--------------------------------- -------------------
absl-py                           1.4.0
anyio                             4.0.0
argon2-cffi                       23.1.0
argon2-cffi-bindings              21.2.0
array-record                      0.5.0
arrow                             1.3.0
asttokens                         2.4.1
astunparse                        1.6.3
async-lru                         2.0.4
attrs                             23.1.0
Babel                             2.13.1
backcall                          0.2.0
beautifulsoup4                    4.12.2
black                             24.2.0
bleach                            6.1.0
cachetools                        5.3.2
certifi                           2023.7.22
cffi                              1.16.0
charset-normalizer                3.3.1
click                             8.1.7
comm                              0.1.4
contourpy                         1.1.1
cycler                            0.12.1
debugpy                           1.8.0
decorator                         5.1.1
defusedxml                        0.7.1
dm-tree                           0.1.8
etils                             1.6.0
exceptiongroup                    1.1.3
executing                         2.0.0
fastjsonschema                    2.18.1
filelock                          3.9.0
flatbuffers                       23.5.26
fonttools                         4.43.1
fqdn                              1.5.1
fsspec                            2023.4.0
gast                              0.5.4
google-auth                       2.25.1
google-auth-oauthlib              1.2.0
google-pasta                      0.2.0
googleapis-common-protos          1.62.0
graphviz                          0.20.1
grpcio                            1.60.0
h11                               0.14.0
h5py                              3.10.0
httpcore                          1.0.4
httpx                             0.27.0
idna                              3.4
imageio                           2.33.1
importlib-resources               6.1.1
ipykernel                         6.26.0
ipython                           8.16.1
ipython-genutils                  0.2.0
isoduration                       20.11.0
isort                             5.13.2
jedi                              0.19.1
Jinja2                            3.1.2
joblib                            1.3.2
json5                             0.9.14
jsonpointer                       2.4
jsonschema                        4.19.1
jsonschema-specifications         2023.7.1
jupyter_client                    8.5.0
jupyter-contrib-core              0.4.2
jupyter-contrib-nbextensions      0.7.0
jupyter_core                      5.4.0
jupyter-events                    0.8.0
jupyter-highlight-selected-word   0.2.0
jupyter-lsp                       2.2.0
jupyter-nbextensions-configurator 0.6.3
jupyter_server                    2.9.1
jupyter_server_terminals          0.4.4
jupyterlab                        4.1.2
jupyterlab_code_formatter         2.2.1
jupyterlab-pygments               0.2.2
jupyterlab_server                 2.25.0
keras                             3.0.5
Keras-Preprocessing               1.1.2
kiwisolver                        1.4.5
libclang                          16.0.6
lxml                              4.9.4
Markdown                          3.5.1
markdown-it-py                    3.0.0
MarkupSafe                        2.1.3
matplotlib                        3.8.0
matplotlib-inline                 0.1.6
mdurl                             0.1.2
mistune                           3.0.2
ml-dtypes                         0.2.0
mpmath                            1.3.0
mypy-extensions                   1.0.0
namex                             0.0.7
nbclient                          0.8.0
nbconvert                         7.16.1
nbformat                          5.9.2
nest-asyncio                      1.5.8
networkx                          3.0
notebook                          7.0.6
notebook_shim                     0.2.3
numpy                             1.26.1
oauthlib                          3.2.2
opt-einsum                        3.3.0
overrides                         7.4.0
packaging                         23.2
pandas                            2.1.2
pandocfilters                     1.5.0
parso                             0.8.3
pathspec                          0.12.1
pexpect                           4.8.0
pickleshare                       0.7.5
Pillow                            10.1.0
pip                               24.0
platformdirs                      3.11.0
prometheus-client                 0.17.1
promise                           2.3
prompt-toolkit                    3.0.39
protobuf                          3.20.3
psutil                            5.9.6
ptyprocess                        0.7.0
pure-eval                         0.2.2
pyasn1                            0.5.1
pyasn1-modules                    0.3.0
pycparser                         2.21
pydot                             2.0.0
Pygments                          2.16.1
pyparsing                         3.1.1
python-dateutil                   2.8.2
python-json-logger                2.0.7
python-version                    0.0.2
pytz                              2023.3.post1
PyYAML                            6.0.1
pyzmq                             25.1.1
referencing                       0.30.2
requests                          2.31.0
requests-oauthlib                 1.3.1
rfc3339-validator                 0.1.4
rfc3986-validator                 0.1.1
rich                              13.7.1
rpds-py                           0.10.6
rsa                               4.9
scikit-learn                      1.3.2
scipy                             1.11.3
seaborn                           0.13.0
Send2Trash                        1.8.2
setuptools                        59.6.0
six                               1.16.0
sklearn                           0.0.post10
sniffio                           1.3.0
soupsieve                         2.5
stack-data                        0.6.3
sympy                             1.12
tensorboard                       2.15.2
tensorboard-data-server           0.7.2
tensorboard-plugin-wit            1.8.1
tensorflow                        2.15.0.post1
tensorflow-datasets               4.9.4
tensorflow-estimator              2.15.0
tensorflow-hub                    0.16.1
tensorflow-io-gcs-filesystem      0.34.0
tensorflow-metadata               1.14.0
termcolor                         2.4.0
terminado                         0.17.1
tf-estimator-nightly              2.8.0.dev2021122109
tf-keras                          2.15.0
threadpoolctl                     3.2.0
tinycss2                          1.2.1
toml                              0.10.2
tomli                             2.0.1
torch                             2.1.0+cu118
torchaudio                        2.1.0+cu118
torchvision                       0.16.0+cu118
tornado                           6.3.3
tqdm                              4.66.1
traitlets                         5.12.0
triton                            2.1.0
types-python-dateutil             2.8.19.14
typing_extensions                 4.8.0
tzdata                            2023.3
uri-template                      1.3.0
urllib3                           2.0.7
wcwidth                           0.2.8
webcolors                         1.13
webencodings                      0.5.1
websocket-client                  1.6.4
Werkzeug                          3.0.1
wheel                             0.42.0
wrapt                             1.14.1
xgboost                           2.0.1
zipp                              3.17.0

after many trials in my case it worked simply uninstalling  the notebook package:
python -m pip uninstall notebook

in my case the following packages where creating the issue. Now working with:
notebook                         6.4.12
traitlets                             5.9.0

having the same issue here, this is my pip3 list:
`Package                   Version

anyio                     4.3.0
appnope                   0.1.4
argon2-cffi               23.1.0
argon2-cffi-bindings      21.2.0
arrow                     1.3.0
asttokens                 2.4.1
async-lru                 2.0.4
attrs                     23.2.0
Babel                     2.14.0
beautifulsoup4            4.12.3
bleach                    6.1.0
certifi                   2024.2.2
cffi                      1.16.0
charset-normalizer        3.3.2
comm                      0.2.2
debugpy                   1.8.1
decorator                 5.1.1
defusedxml                0.7.1
executing                 2.0.1
fastjsonschema            2.19.1
fqdn                      1.5.1
h11                       0.14.0
httpcore                  1.0.4
httpx                     0.27.0
idna                      3.6
ipykernel                 6.29.3
ipython                   8.22.2
isoduration               20.11.0
jedi                      0.19.1
Jinja2                    3.1.3
json5                     0.9.24
jsonpointer               2.4
jsonschema                4.21.1
jsonschema-specifications 2023.12.1
jupyter_client            8.6.1
jupyter_core              5.7.2
jupyter-events            0.10.0
jupyter-lsp               2.2.4
jupyter_server            2.13.0
jupyter_server_terminals  0.5.3
jupyterlab                4.1.5
jupyterlab_pygments       0.3.0
jupyterlab_server         2.25.4
MarkupSafe                2.1.5
matplotlib-inline         0.1.6
mistune                   3.0.2
nb2xls                    0.1.6
nbclient                  0.10.0
nbconvert                 7.16.3
nbformat                  5.10.3
nest-asyncio              1.6.0
notebook_shim             0.2.4
numpy                     1.26.4
overrides                 7.7.0
packaging                 24.0
pandas                    2.2.1
pandocfilters             1.5.1
parso                     0.8.3
pexpect                   4.9.0
pip                       24.0
platformdirs              4.2.0
prometheus_client         0.20.0
prompt-toolkit            3.0.43
psutil                    5.9.8
ptyprocess                0.7.0
pure-eval                 0.2.2
pycparser                 2.21
Pygments                  2.17.2
pypng                     0.20220715.0
python-dateutil           2.9.0.post0
python-json-logger        2.0.7
pytz                      2024.1
PyYAML                    6.0.1
pyzmq                     25.1.2
referencing               0.34.0
requests                  2.31.0
rfc3339-validator         0.1.4
rfc3986-validator         0.1.1
rpds-py                   0.18.0
Send2Trash                1.8.2
six                       1.16.0
sniffio                   1.3.1
soupsieve                 2.5
stack-data                0.6.3
terminado                 0.18.1
tinycss2                  1.2.1
tornado                   6.4
traitlets                 5.14.2
types-python-dateutil     2.9.0.20240316
tzdata                    2024.1
uri-template              1.3.0
urllib3                   2.2.1
wcwidth                   0.2.13
webcolors                 1.13
webencodings              0.5.1
websocket-client          1.7.0
XlsxWriter                3.2.0`

I had the same issue, and solved by
pip install --upgrade 'nbconvert>=7' 'mistune>=2'
thank you all for the trial...!

I have the same issue, but this isn't working for me: pip install --upgrade 'nbconvert>=7' 'mistune>=2'

Just chipping in to say that I initially found this to be the case on python 3.12.1. I resolved by running
pip uninstall jupyter_contrib_nbextensions

Thanks! This works for me with python 10, jupyter notebook 7.0.6, nbconvert 7.12.0

Gah. I have the same issue as others in this thread (dialog to choose how to export notebook does not show). My versions are:
python                    3.11.5
jupyterlab                4.0.11
nbconvert                 7.10.0

I don't have jupyter_contrib_nbextensions installed.

For folks who are still having problems even after all the package updates, please try to remove the jupyter config folder (~/.jupyter). It started working for me once I removed the folder and re-started jupyterlab, it must have been the old config was interfering with jupyterlab.

Description
Currently, I'm using JupyterLab desktop Version 3.3.4-2. I can't export my .ipynb file as .py using Save and Export Notebook As...! JupyterLab doesn't display the inner panel to see the options of Save and Export Notebook As...!
Reproduce

Open or create a new notebook
try to export it as a .py file using File>Save and Export Notebook As...
Click on Save and Export Notebook As...
Nothing shows up!

Expected behavior
A panel that at least contains the .py format.
Context

Operating System and version: Windows 10.0.19043
JupyterLab-Desktop version: 3.3.4-2
Installer: .exe

Troubleshoot Output
Browser Output (required for interface issues after loading)
Logs (required for issues with loading, server and startup)

I have faced  this issue, same like u ,that "save and export notebook  as"  not showing as above
what i realised was , i have been installed the nb2xls library and nb2convert packages . after that i faced the issue.
later  what i did was

go to a new notebook and type !pip list
u will see the packages list
then type the code and run to uninstall the packages(nb2xls,nbconvert)
!pip uninstall -y nb2xls
u will see successfully uninstalled nb2xls with version
then same to nbconvert package
!pip uninstall -y nbconvert
5.after uninstalling these packages , i have gone to  jupyter notebook and see the options in save and export notebook as html,pd fetc

this is why we are not seeing the year of the linux desktop. windows ... it just works. linux... sort search struggle and it still doesn't work what the ... all you experts look down on the rest of us, but we just want it to work. why not?

Same issue, jupyterlab 4.0.5
Edit: Solution is
pip install --upgrade 'nbconvert>=7' 'mistune>=2'

from jupyter/nbconvert#1864 (comment)

The solution which @ccaprani prepared worked for me and solved the problem.
Here is the solution @ccaprani posted:
pip install --upgrade 'nbconvert>=7' 'mistune>=2'

I solved this problem by reinstalling jupyter lab and jupyter notebook.

Same issue.  "Save and Export Notebook As.." didn't work. Everything was updated including nbcovert.
pip uninstall jupyter_contrib_nbextensions proposed by @mkerin worked for me as well.
Thank you !!

authors: FAI-LL Heroico JWock82 JulienL3vesque MHVali MatS792 MontyTHall RAKESHKUMARhub RoelantStegmann TomokiSegawa TonyRose27 ccaprani iliaChinchaladze joonro joshdempster juanMarinero krassowski krish-e labarba lokashrinav mbektas mkerin mpsheasby myxomycophyta s-hliao shayandavoodii sw1sw1 tttucker34 upmanyu1993 urrx101 yannansoda yuliaUU

repo: jupyterlab/jupyterlab-desktop


text:
Fix paths for Replite apps

Description
I might have introduced this via #220 – this PR is a small fix so that the Replite app on the landing page of the documentation loads successfully (the "index.html" string was duplicated in the URL).
My apologies!

Self-merging this again – I can confirm that all apps work correctly on all pages of https://jupyterlite-sphinx--224.org.readthedocs.build/en/224/ this time around 🙈

repo: jupyterlite/jupyterlite-sphinx


text:
UserWarning: I/O error(44): No such file or directory when importing pandas

Currently importing pandas gives the following warning:
/tmp/xeus-python-kernel/envs/xeus-python-kernel/lib/python3.10/site-packages/dateutil/zoneinfo/__init__.py:26: UserWarning: I/O error(44): No such file or directory
  warnings.warn("I/O error({0}): {1}".format(e.errno, e.strerror))

This does not seem to be the case with Pyodide:

In this example the version is not exactly the same which might explain the difference (although unlikely?).

I think we are filtering out ZONEFILENAME = "dateutil-zoneinfo.tar.gz" (
https://github.com/dateutil/dateutil/blob/7c5c98959bd0e9eea3c55fdf78bef3ae5b8c995e/src/dateutil/zoneinfo/__init__.py#L13) when we pack the package for the emscripten-virtual filesystem.

Maybe we should not filter out anything from the site-packages directory? That way we don't filter package data. Will it impact the resulting wheel size a lot?

unfortunately, that will impact the size a lot.
But I am working on the following: There will be a default filter / include/ignore pattern.  But recipes can overwrite  this behavior.

But recipes can overwrite this behavior

Great!

Should be fixed now

authors: DerThorsten jtpio martinRenou

repo: jupyterlite/xeus-python-kernel


text:
refactor(payment_links): Update API contract for dynamic transaction details and upgrade UI

Type of Change

[ ] Bugfix
[ ] New feature
[ ] Enhancement
[x] Refactoring
[ ] Dependency updates
[ ] Documentation
[ ] CI/CD

Description

the api contract is changed for payment link to specifically take position of the fields and how to render them on UI.
Additional Changes

[x] This PR modifies the API contract
[ ] This PR modifies the database schema
[ ] This PR modifies application configuration/environment variables

Motivation and Context

How did you test it?

Tested through Postman:

Create a MCA(Bamboraapac):

{
    "connector_type": "payment_processor",
    "connector_name": "bamboraapac",
    "connector_account_details": {
        "auth_type": "SignatureKey",
        "api_key": "{{api_key}}",
        "key1": "{{key1}}",
        "api_secret": "{{api_secret}}"
    },
    "test_mode": false,
    "disabled": false,
    "payment_methods_enabled": [
        {
            "payment_method": "card",
            "payment_method_types": [
                {
                    "payment_method_type": "credit",
                    "card_networks": [
                        "Visa",
                        "Mastercard"
                    ],
                    "minimum_amount": 1,
                    "maximum_amount": 68607706,
                    "recurring_enabled": true,
                    "installment_payment_enabled": true
                },
                {
                    "payment_method_type": "debit",
                    "card_networks": [
                        "Visa",
                        "Mastercard"
                    ],
                    "minimum_amount": 1,
                    "maximum_amount": 68607706,
                    "recurring_enabled": true,
                    "installment_payment_enabled": true
                }
            ]
        }
    ],
    "metadata": {
        "city": "NY",
        "unit": "245",
        "acquirer_bin": "{{acquirer_bin}}",
        "acquirer_merchant_id": "{{acquirer_merchant_id}}"
    },
    "connector_webhook_details": {
        "merchant_secret": "{{merchant_secret}}"
    },
    "business_country": "US",
    "business_label": "default"
}

Create a payment link request

{
    "amount": 1100,
    "currency": "USD",
    "confirm": false,
    "payment_link": true,
    "payment_link_config": {
        "logo": "https://hyperswitch.io/logos/hyperswitch.svg",
        "display_sdk_only": false,
        "transaction_details": [
            {
                "key": "sakil",
                "value": "mostak",
                "ui_configuration": {
                    "is_key_bold": true,
                    "is_value_bold": true,
                    "position": 3
                }
            },
            {
                "key": "Value to be filled",
                "value": "Dummy value is filled",
                "ui_configuration": {
                    "is_key_bold": false,
                    "is_value_bold": true
                }
            },
            {
                "key": "লোডটেস্ট কাজ করছে",
                "value": "বিভিন্ন ভাষায় লোডটেস্ট",
                "ui_configuration": {
                    "is_key_bold": true,
                    "is_value_bold": false,
                    "position": 4
                }
            },
            {
                "key": "Business Country",
                "value": "Germany"
            },
            {
                "key": "Policy Number",
                "value": "938478327648",
                "ui_configuration": {
                    "is_key_bold": false,
                    "is_value_bold": false,
                    "position": 2
                }
            }
        ]
    },
    "capture_method": "manual",
    "capture_on": "2022-09-10T10:11:12Z",
    "customer_id": "StripeCustomer",
    "email": "abcdef123@gmail.com",
    "name": "John Doe",
    "phone": "999999999",
    "phone_country_code": "+65",
    "description": "Its my first payment request",
    "authentication_type": "no_three_ds",
    "return_url": "https://google.com",
    "setup_future_usage": "on_session",
    "browser_info": {
        "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36",
        "accept_header": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
        "language": "nl-NL",
        "color_depth": 24,
        "screen_height": 723,
        "screen_width": 1536,
        "time_zone": 0,
        "java_enabled": true,
        "java_script_enabled": true,
        "ip_address": "127.0.0.1"
    },
    "shipping": {
        "address": {
            "line1": "1467",
            "line2": "Harrison Street",
            "line3": "Harrison Street",
            "city": "San Fransico",
            "state": "California",
            "zip": "94122",
            "country": "US",
            "first_name": "John",
            "last_name": "Doe"
        }
    },
    "order_details": [
        {
            "product_name": "Tea1",
            "quantity": 1,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
        {
            "product_name": "Tea2",
            "quantity": 20,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
        {
            "product_name": "Tea3",
            "quantity": 1,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
         {
            "product_name": "Tea4",
            "quantity": 1,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
        {
            "product_name": "Tea5",
            "quantity": 20,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
        {
            "product_name": "Tea6",
            "quantity": 1,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
         {
            "product_name": "Tea7",
            "quantity": 20,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
        {
            "product_name": "Tea8",
            "quantity": 1,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
         {
            "product_name": "Tea9",
            "quantity": 20,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        },
        {
            "product_name": "Tea0",
            "quantity": 1,
            "amount": 110,
            "product_img_link": "https://thumbs.dreamstime.com/b/indian-tea-spices-masala-chai-33827904.jpg"
        }
    ],
    "statement_descriptor_name": "joseph",
    "statement_descriptor_suffix": "JS",
    "metadata": {
        "udf1": "value1",
        "new_customer": "true",
        "login_date": "2019-09-10T10:11:12Z"
    },
    "payment_method": "card",
    "payment_method_type": "credit",
    "payment_method_data": {
        "card": {
            "card_number": "4005550000000001",
            "card_exp_month": "02",
            "card_exp_year": "26",
            "card_holder_name": "Joseph Doe",
            "card_cvc": "999"
        }
    },
    "billing": {
        "address": {
            "line1": "8th block",
            "line2": "8th block",
            "line3": "8th block",
            "city": "Bengaluru",
            "state": "Karnataka",
            "zip": "560095",
            "country": "IN",
            "first_name": "Sakil",
            "last_name": "Mostak"
        }
    }
}

Redirect to the payment link, below should be the layout of the link:

Checklist

[x] I formatted the code cargo +nightly fmt --all
[x] I addressed lints thrown by cargo clippy
[x] I reviewed the submitted code
[ ] I added unit tests for my changes where possible

Please generate openApi specs! and commit

authors: Sakilmostak sahkal

repo: juspay/hyperswitch


text:
adding coinbase connector

Type of Change

[ ] Bugfix
[x] New feature
[ ] Enhancement
[ ] Refactoring
[ ] Dependency updates

Description

Additional Changes

[ ] This PR modifies the database schema
[ ] This PR modifies application configuration/environment variables

Motivation and Context

How did you test it?

Checklist

[ ] I formatted the code cargo +nightly fmt --all
[ ] I addressed lints thrown by cargo clippy
[ ] I reviewed submitted code
[ ] I added unit tests for my changes where possible
[ ] I added a CHANGELOG entry if applicable

Should a connector integration PR specific to coinbase touch so many files across other connectors?
If this is related to supported payment methods error handling, how to minimize the surface area of such a change?

Should a connector integration PR specific to coinbase touch so many files across other connectors?
If this is related to supported payment methods error handling, how to minimize the surface area of such a change?

Should a connector integration PR specific to coinbase touch so many files across other connectors?
If this is related to supported payment methods error handling, how to minimize the surface area of such a change?

Should a connector integration PR specific to coinbase touch so many files across other connectors?
If this is related to supported payment methods error handling, how to minimize the surface area of such a change?

Yes, it is because of adding new payment method(crypto), which was not handled in few other connectors if any new payment method got added. But now I added the default case in other connectors too, so we don't need to change any other connector's files, if we add any new payment method

Can you please provide a reason as to why this PR was closed?

This was a forked branch with my personal account. At the time of raising this PR, I didn't have the write access for juspay/hyperswitch repo. After getting access, me and @jagan-jaya created new branch opennode-v2


text:
create NetInput from base64 string

Hi, I'm trying do create a webservice to do face matching, so I'm writting code with textscript and express, I can get the picture in base64 but I'm trying to do a face matching but in the middle I don't know how to create a NetInput from base 64 string.
I tryied to create an Image but when I run I get this error:
(node:10663) UnhandledPromiseRejectionWarning: Error: Image given has not completed loading
this is my code:
   `const imgRef = faceapi.env.getEnv().createImageElement();
     imgRef.src = 'image/jpeg;base64,'+rostros.referencia;

     imgRef.width = 393;

     imgRef.height = 574;

     console.log("imgRef complete");

     console.log(imgRef.complete);

     console.log("about detectAllFaces");

    const results = await faceapi.detectAllFaces(imgRef)
        .withFaceLandmarks().withFaceDescriptors();

`

it's exactly what it says 'image has not completed loading' - assigning imgRef.src is ok, but then execute actual detection inside event that triggers when image is loaded, something like imgRef.onload = () => faceapi.detectAllFaces(...)

authors: innovacion-novitech vladmandic


text:
ASP.NET Core 2.2.0

Update to ASP.NET Core 2.2.0.

Need to fix weird error during npm ci: https://ci.appveyor.com/project/justeattech/applepayjssample/builds/20765392#L22

repo: justeat/ApplePayJSSample


text:
Rename the publisher

It's the default publisher. it's the only publisher. calling it the "immediate" publisher is overly verbose.

Whilst unrelated to this specific change, I suggest we bump the version to 2.0.0 now before we forget later (or do it in a PR after this one).

authors: AnthonySteele martincostello


text:
✨ feat(pie-docs): create card component

Describe your changes (can list changeset entries if preferable)
Author Checklist (complete before requesting a review)

[X] I have performed a self-review of my code
[ ] If it is a core feature, I have added thorough tests.
[X] If it is a PIE Docs change, I have reviewed the PR preview
[X] If there are visual test updates, I have reviewed them properly before approving

Reviewer checklists (complete before approving)
Reviewer 1

[ ] If it is a PIE Docs change, I have reviewed the PR preview
[ ] If there are visual test updates, I have reviewed them

Reviewer 2

[ ] If it is a PIE Docs change, I have reviewed the PR preview
[ ] If there are visual test updates, I have reviewed them

link colours look like they may have changed

authors: FayeCarter jamieomaguire

repo: justeattakeaway/pie


text:
🛑 qBittorrent is down

In 44bc254, qBittorrent (https://bt.justforlxz.com) was down:

HTTP code: 530
Response time: 93 ms

Resolved: qBittorrent is back up in 3b0f7c2 after 30 minutes.


text:
🛑 Jellyfin is down

In 140bfc9, Jellyfin (https://video.mkacg.com) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Jellyfin is back up in 3328fd7 after 14 hours, 1 minute.