The Staging Swagger LintDiff check is confusing customers

Per this message:

!IMPORTANT API Spec Review I have a comment on my PR to fix an issue in the Staging Swagger LintDiff check, but in a previous post I was told that I could ignore the staging check.
https://github.com/Azure/azure-rest-api-specs/pull/21754/checks?check_run_id=12678669527
Here is the link to my previous post:
Veerav Naidu: Hi API Spec Review I am getting some LINT Diff errors for not having a…
posted in Azure SDK / API Spec Review at Wednesday, March 29, 2023 12:21:46 PM
If it is okay to ignore that issue, can I please get my PR approved and merged, it is keeping me from moving forward with my APIs.

Another case here.

Per the triage meeting, per the ongoing effort of removing false positives, one proposed solution is to convert the ~[Staging] LintDiff check to fail with a warning instead of an error.

For now we changed [Staging] to [NotRequired_Staging]. Hopefully this will help. Closing.


Fix Compute nodes should not be used for Internal schema three replica (#36130)

bp #36130

run buildall


Add stop and restart to on-dhcp-proxy init definition.

@RackHD/corecommitters

@ytjohn Has a PR that adds this functionality.  Closing this one.


How to initialise an empty pointer (like nullptr in C++)?

In languages like C++, it is possible to create a pointer that points to nothing (nullptr). This is useful for initialising objects that point to other variables - but where the pointer is not yet defined at the point of initialisation.
Is it possible to do this in Cairo, or if not, what is the recommended workaround?

I'm not 100% sure, but I think the closest thing to that is let nullptr = cast(0, felt*). It's a pointer to 0, same as an uninitialized memory cell. I guess it's more of an "undefined pointer" rather than a null pointer.

Thanks very much for your help with this! I initially closed the issue because it seems to work well for pointers to regular structs. However I would like to use this with a dictionary, and let nullptr = cast(0, DictAccess*) returns the following error:
Error: [code:49:5](javascript:current_page().move_cursor(49 - 1, 5 - 1)): Cannot compare 'felt' and 'starkware.cairo.common.dict_access.DictAccess*'.
    assert values[1] = cast(0, DictAccess*)

I thought maybe it is because I need to define nullptr as a pointer to DictAccess*, but that didnt work either and resulted in a similar error..


Unify and improve error reporting

Unify error formatting
Currently, every component do its own error message formatting. Instead, all of them should fill a struct with error info and pass it to error formatter, which will format it as text and pass to error reporter. The user can provide their own error formatter.

Improve error messages
The error message should include:

pretty-printed request
pretty-printed response
round-trip time
error message
pretty-printed expected value
pretty-printed actual value
diff
backtrace

Use colored output
When running in a TTY, use colors for error message and diff (gojsondiff allows that). The user can enable, disable, or choose an automatic mode for this.

This would break API (the error reporter will be replaced with error formatter), so moving to v2.

I expect have summary report page.

See also #62.

Closing with respect to #69.

@goku321 Are you still interested? I've prepared a more detail issue (linked above).

@gavv Yes, I am. But I can only start working on this from next week(if that's okay) as I am caught up with some stuff.


docs/pallas: fix mismatched pytree specs

Running the matmul+activation example as-is gives
ValueError: Pytree specs for `out_shape` and `out_specs` must match: PyTreeDef(*) vs. PyTreeDef((*,))

Giving a list argument to out_shape seems to fix the issue.

Tagging @sharadmv for the review.
Regarding the lint error: you need to sync the sources using jupytext; see https://jax.readthedocs.io/en/latest/developer.html#syncing-notebooks

Remove the list from both args runs successfully on TPU


Can data upload support pdf and word? Currently, only txt is supported.

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Describe the solution you'd like
A clear and concise description of what you want to happen.
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
Additional context
Add any other context or screenshots about the feature request here.

You'd import those as URLs and embed viewing those documents using HyperText tag. Take a look at "Rate PDF" example in Playground: https://labelstud.io/playground/

@deppp How should we import the URLs with the embed?
For example,
I'm seeking:
{
    "pdf": "<embed src='https://app.heartex.ai/static/samples/sample.pdf' width='100%' height='600px'/>"
}

I tried saving a text file containing just: <embed src='https://app.heartex.ai/static/samples/sample.pdf' width='100%' height='600px'/> as  and importing it "sample_pdf_url.txt"
However, it shows up like this:
{
    "pdf": "/data/upload/1/4de68584-sample_pdf_url.txt"
}

Is there a way to ensure the embed tag itself is read and displayed instead of just showing the file path? Thanks!

I found the solution!:
solution is to put the entire:
{
    "pdf": "<embed src='https://app.heartex.ai/static/samples/sample.pdf' width='100%' height='600px'/>"
}

in a json file, and import it.

Closed as a non-active issue, and it seems like it has been resolved.


Variable length sequence for RNN?

Hey everyone!
I'm trying to use a LSTM with data in the shape something like [300, 1, x] where x changes. As of right now I'm training the model where x = 300 but after training the model I'm trying to go back through and make predictions on data in the shape [300, 1, 270] for an example. I've been exploring this and it seems like it can be done with the Theano backend (see https://github.com/fchollet/keras/issues/2054) but in my code when I use the following model:
model = Sequential()
model.add(LSTM(50, input_shape=None))
model.add(Dense(1))

I get the error 'TypeError: 'NoneType' object is not iterable'. Anyone know what's going on? According to the issue I linked that should work fine unless I'm misinterpreting it (is it only the 1st dimension that can be None?).
Info:
Python v3.5.3
Keras v2.0.2
Theano v0.9.0
Thanks!

input_shape=(None,1). input_shape is a tuple. LSTM expects (batch x sequence x features). You need 3 dims even if the last dim is 1. First dim is assumed, so input_shape must have 2 entries for the LSTM. This will work for data like [300,x,1] where the x changes.
Cheers

@bstriner Hello, could you please help me with a similar problem? I'm passing [batch_size, x, 100] into a LSTM:
LSTM(100, return_sequences=True, stateful=True, input_shape=(None, 100),                  batch_input_shape=(200, None, 100))
I'm fitting the model on the following randomly created matrices:
        x_train = np.random.random((1000, 50, 100))
         x_train_2 = np.random.random((1000, 10,100))
As far as I understood LSTMs (and the keras implementation) correctly, the x should refer to the number of LSTM cells. How is it possible to pass varying sequence lengths into them without padding up to a max. specified length?
For each LSTM a state and three matrices have to be learned. It's even possible to pass another x_train_3 with a sequence lengths of 60 afterwards, but there shouldn't be states and matrices for the extra 10 cells. So I really don't know what's happening there.
By the way, I'm using Keras version 1.0.8 and Tensorflow GPU 0.9.
Here is my example code:
from keras.models import Sequential
from keras.layers import LSTM, Dense
import numpy as np
from keras import backend as K

with K.get_session():

    # create model
    model = Sequential()
    model.add(LSTM(100, return_sequences=True, stateful=True, input_shape=(None, 100),
             batch_input_shape=(200, None, 100)))
    model.add(LSTM(100))
    model.add(Dense(2, activation='softmax'))
    model.compile(loss='categorical_crossentropy',
                  optimizer='rmsprop',
                  metrics=['accuracy'])

    # Generate dummy training data
    x_train = np.random.random((1000, 50, 100))
    x_train_2 = np.random.random((1000, 10, 100))
    y_train = np.random.random((1000, 2))
    y_train_2 = np.random.random((1000, 2))

    # Generate dummy validation data
    x_val = np.random.random((200, 50, 100))
    y_val = np.random.random((200, 2))

    # fit and eval models
    model.fit(x_train, y_train, batch_size=200, nb_epoch=1, shuffle=False, validation_data=(x_val, y_val), verbose=1)
    model.fit(x_train_2, y_train_2, batch_size=200, nb_epoch=1, shuffle=False, validation_data=(x_val, y_val), verbose=1)
    score = model.evaluate(x_val, y_val, batch_size=200, verbose=1)`

@v1nc3nt27 two different things to discuss.

Using the None means you can have a different batch size for each batch. Use fit_generator instead of fit. One batch can be (1, 15, 100), the next batch can be (1, 24, 100), whatever. That will mean you are only doing batches of size 1 so it will be noisy, but you can easily write something to have different lengths in each batch.

If you want different lengths within a single batch, you need to use masking. You can signal in-band or out-of-band. In-band would be a special value that indicates that the step should be ignored. Out-of-band would be a separate input with 1 for included steps and 0 for excluded steps. Multiply your loss by the mask, so losses for excluded steps are 0.

If you do both of the above, each batch will be the length of the longest sequence in that batch. The shorter sequences in that batch will be padded and masked. This should be the most efficient method and the least amount of data each time.
It would be best to do both. If you use fit, everything needs to be padded out to the length of the longest sequence. If there are some really long outliers, that will have a huge impact.
Here is a somewhat complicated example but includes one way of doing the above. This experiment concatenates input and output, so only uses max(input len+output len) instead of max(input)+max(output), but that is a proof-of-concept and not necessary.
https://github.com/bstriner/keras-seq2seq
Not the cleanest code, but if you understand how it works then you should be able to do anything you want.
Cheers

@bstriner Thank you very much for your detailed answer. From the first look, the code seems absolutely readable, but still complex, since I'm new to this. I'll work though it.
Still, I think I got a problem in understanding LSTMs conceptually. If I understand correctly, method 1 means you don't need padding. Is this method possible, because after each batch the LSTM cells are being regenerated? That'd mean the states between sequences (= batches in case of batch_size=1) i and i+1 are not kept and the needed amount of LSTM cells (= sequence length)  is generated and randomly initialized for each batch again and again.
This would explain why my code above is working. The second time I call model.fit() on x_train_2, new LSTM cells in the needed size (and thus new matrices and states for the cells) would be randomly initialized. But this would also diminish the reason to use LSTMs in the first place.
If the LSTM cells aren't being newly generated after each batch, where do the LSTM cells (and their states/matrices) come from, if a new batch has a sequence longer than in any other batch before?
Greetings

Method 1 and 2 aren't exclusive. If you just do 1, you don't need padding, because there is only one sequence in each batch.
States between different batches are not usually kept or relevant. stateful option in keras isn't something I would recommend unless you are sure about what you are doing. stateful retains the state between batches but doesn't backprop between batches. So it uses the previous state but it can't learn to make the previous state useful.
Lot's of people run into issues with stateful thinking it does more than it actually does. All LSTMs are stateful, stateful is just for state between batches, which is normally a bad idea. Only useful if you have some insanely long sequences that you can't possibly fit into a single batch.
Learning only works within a batch. If you need to learn a dependency that is 20 steps away you should have at least 20 steps in each batch. You could do 2 stateful batches of 10 but it would be random whether it learns anything useful.
The simplest and best method for training LSTMs is to take many different subsequences and run them all through the LSTM (not stateful). That way you are trying to learn an LSTM that can pick up anywhere in the sequence and still do something useful.
The initial state of the LSTM is something that is learned. That initial state is the same for each sequence in a batch. It will learn the best initial state that will work across all of your examples.
tldr; don't use stateful unless you have a good reason. Training is more stable without it.
Machine learning is all about learning something that can generalize in a meaningful way. Best way to do that is to have many different subsequences and an LSTM that works for all of them. More ways you can slice and dice your data the better.
As an extreme example, imagine an LSTM trained on the entire brown corpus as one sequence in one batch. It would learn but it would be pointless. An LSTM that can predict variable length sub-sequences starting from anywhere in the corpus would be learning something meaningful.
Cheers

@v1nc3nt27 Let me know your thoughts on what was confusing and how to make it less so. I think stateful has been causing a lot of issues.
Just submitted this issue for discussion: https://github.com/fchollet/keras/issues/7212

Once more, thank you for your help.
I'll shortly describe what I actually want to do - this might clear up some things:
For my problem, I've got 5000 text documents with variable length. I embed each token of
the documents in a 100d vector. I can't split the documents up into sequences (I want to keep it as simple as possible) and I only have a binary label for each doc. I guess the only reasonable way to go here, would be one big batch of 5000 and padding of shorter sequences, if I want to learn relations between the documents' sequences. So I'd have [5000, x, 100]. It might not be the usual task for which you use RNN's, but I want to test it and hope for some magic to happen. I thought stateful would make total sense in this case, but since you said it doesn't backprop between the states, I don't see how this would be helpful then.
ALso, after reading your explanation I wonder if using a batch size of 1 in connection with
LSTMs (without stateful=true) can be useful in any scenario. There'd be a single BPTT, but since the states get reset for the next batch, the changed values wouldn't effect the next batch and be useless.
In any case, what is still troubling me are the following two things:

If the states get reset after each batch, what happens at prediction time? Is the LSTM just using randomly initialized matrices?
I doubt it, but anyway I want to ask: Are the LSTM states of each batch kept for the next epoch? So, are e.g. the LSTM states of batch no. 1 in epoch no. 1 being used for batch no. 1 in epoch no. 2?

Maybe renaming  stateful in LSTMs to something different and adding a short example to the documentation might help. Or at least explicitly stating, that stateful=False doesn't mean the LSTM cells do not save states anymore. I for myself was thinking, that using this argument is the only way to keep the state of an LSTM between sequences.

@v1nc3nt27 Did you find out the answers to your last two questions?

I guess I'm a little late to the party but I'm was hoping for some answers to this issue and then... nothing. @bstriner, @v1nc3nt27 have you found any answers to v1nc3nt27's questions?

Any idea on how to configure validation_data with unequal length time series? I got the model to train on time series of unequal length using a batch size of 1.

@v1nc3nt27 two different things to discuss.

Using the None means you can have a different batch size for each batch. Use fit_generator instead of fit. One batch can be (1, 15, 100), the next batch can be (1, 24, 100), whatever. That will mean you are only doing batches of size 1 so it will be noisy, but you can easily write something to have different lengths in each batch.
If you want different lengths within a single batch, you need to use masking. You can signal in-band or out-of-band. In-band would be a special value that indicates that the step should be ignored. Out-of-band would be a separate input with 1 for included steps and 0 for excluded steps. Multiply your loss by the mask, so losses for excluded steps are 0.

If you do both of the above, each batch will be the length of the longest sequence in that batch. The shorter sequences in that batch will be padded and masked. This should be the most efficient method and the least amount of data each time.
It would be best to do both. If you use fit, everything needs to be padded out to the length of the longest sequence. If there are some really long outliers, that will have a huge impact.
Here is a somewhat complicated example but includes one way of doing the above. This experiment concatenates input and output, so only uses max(input len+output len) instead of max(input)+max(output), but that is a proof-of-concept and not necessary.
https://github.com/bstriner/keras-seq2seq
Not the cleanest code, but if you understand how it works then you should be able to do anything you want.
Cheers

I have tried you approach. Apparently i am using masking as well now with you approach input is defined as
model.add(Masking(mask_value=0. , input_shape=(None, number_of_features)))
As you can see input shape has None as time steps because as you explained the batches are of different length so that we have maximum efficiency while doing padding. But the problem is that Masking is not in effect with this. It doesn't throws any error but one can see in output of predictions.
Upon further analyzing i came to know about this thing while keras is computing masking it throws this error.

Layer masking_1 is not connected, no input to return.

Layer masking_1 has multiple inbound nodes, hence the notion of "layer input mask" is ill-defined. Use get_input_mask_at(node_index) instead.

So basically masking is not in effect due to input shape.
Can you @fchollet @bstriner help me with this. I am using latest version of keras


The Coordinates Not Set Properly

Describe the bug
I have problems when I want to sign using this library. When I try to sign with a PDF file that has a PDF version below 1.7, the signature I put does not match the location or coordinates I have provided.
To Reproduce
this my code to sign
fields.append_signature_field(       w,        sig_field_spec=fields.SigFieldSpec(           f'InternalSignature{order}',            box=(int(x1), int(y1), int(x2), int(y2)),           on_page=(newPageNumber)   ), )
Expected behavior
My expectation is that I can sign with PDF files that have a PDF version below 1.7
Screenshots
This my pdf and the version of the pdf and this works :

This my pdf and the version of the pdf and this not works properly :

Environment (please complete the following information):

OS: macOS
Version 12.7

Is the bottom PDF rotated? If so, that's a known issue. See #266 for some pending work to fix it.

Is the bottom PDF rotated? If so, that's a known issue. See #266 for some pending work to fix it.

the bottom pdf is not rotated but i think the resolution is the one of the problem

the bottom pdf is not rotated but i think the resolution is the one of the problem

Well, if your page is smaller, then obviously the coordinates of your box are going to change accordingly :). That's not so much a resolution issue as it is a geometry issue. So I don't really understand what you mean by this.


Update README.md

Replaced incorrect reference to the master branch with main
what

why

references

** DO NOT EDIT THIS FILE
  **
  ** This file was automatically generated by the `build-harness`.
  ** 1) Make all changes to `README.yaml`
  ** 2) Run `make init` (you only need to do this once)
  ** 3) Run`make readme` to rebuild this file.
  **
  ** (We maintain HUNDREDS of open source projects. This is how we maintain our sanity.)
  **


Some errors with docker-machine 5.5

can not run such as ls rm even create
this is the create log:
ZHANGXIAOFENGdeMacBook:.docker zhangxiaofeng$ docker-machine --debug create --driver=parallels --parallels-disk-size=65536 --parallels-memory=4096 --parallels-cpu-count=-1 prl-new
Docker Machine Version:  0.5.5, build
Found binary path at /usr/local/bin/docker-machine-driver-parallels
Launching plugin server for driver parallels
Plugin server listening at address <IP_ADDRESS>:50308
() Calling .GetVersion
Using API Version  1
() Calling .SetConfigRaw
() Calling .GetMachineName
(flag-lookup) Calling .GetCreateFlags
Found binary path at /usr/local/bin/docker-machine-driver-parallels
Launching plugin server for driver parallels
Plugin server listening at address <IP_ADDRESS>:50312
() Calling .GetVersion
Using API Version  1
() Calling .SetConfigRaw
() Calling .GetMachineName
(prl-new) Calling .GetMachineName
(prl-new) Calling .DriverName
(prl-new) Calling .GetCreateFlags
(prl-new) Calling .SetConfigFromFlags
Creating CA: /Users/zhangxiaofeng/.docker/machine/certs/ca.pem
Creating client certificate: /Users/zhangxiaofeng/.docker/machine/certs/cert.pem
Running pre-create checks...
(prl-new) Calling .PreCreateCheck
Error creating machine: Error with pre-create check: connection is shut down

Duplicates #32
Fixed by #33. The new version will be released in a few hours


bcrypt 4.0.0 and 4.0.1 need setuptools_rust

for sdist, setuptools_rust is missing: https://github.com/DavHau/pypi-deps-db/blob/99323880924a90acd689a4f23b56551d06d3f780/sdist-errors/d8.json#L927
and a wheel is not provided for cp38 https://pypi.org/project/bcrypt/4.0.1/#files

moved to https://github.com/DavHau/mach-nix/issues/518


Enforce Async Method Naming

I tried this but it doesn't seem to work - https://github.com/dotnet/roslyn/issues/40050
Is there a set of editorconfig settings that will create warnings if you don't name your async methods (returning Task or Task) with the Async suffix?

Hi @ardalis, I hope you're doing well. Thanks for creating such a nice editorconfig.
According to this article and this repository, I fix this issue hope you find it useful.


Add method to concatenate key-presses to results box

Clear leading zero if the key press is anything other than the decimal character (".")
Test drive changes using XUnit

 Concatenation Logic


Some of these samples are missing core components.

Which sample are you reporting a bug in?
Example: AnimationMetrics
Describe the bug
When compiling the App.xaml and App.xaml.cs file are not present. Many other files are missing also, such as the PNG assets.
To Reproduce

Open the AnimationMetrics sample for C# in VS2022
Just try to compile it.... I dare you.
Scratch head in bewilderment as to how someone released this.

Language/architecture/flavor: C#
Windows platform: Windows 10
Visual Studio version: Version 17.6.0 Preview 7.0

Apparently all of the samples share a common App.xaml which is located in a separate parent folder... this is a horrible design and makes none of the projects portable or sharable.

Each sample links to a self-contained ZIP file that contains all the dependencies.

@oldnewthing I can understand the repeatability issue for the projects, but these samples do not work out of the box as advertised. The pathing in the project wants the shared resources to be here: C:\SharedContent which is problematic. I did not see any references to a self-contained archive.

Apparently all of the samples share a common App.xaml which is located in a separate parent folder... this is a horrible design and makes none of the projects portable or sharable.

You're right ("gigabyte in size" mention is ok). But some automation tool + instruction needed for partial sample deploying ("separation/decomposition from all samples"?)

The samples look for SharedContent in any parent directory. Doesn't have to be the root.
<SharedContentDir>$([MSBuild]::GetDirectoryNameOfFileAbove($(MSBuildThisFileDirectory), LICENSE))\SharedContent</SharedContentDir>

If you want a sparse repo, then enable the /* directory, the /SharedContent subtree, and the /Samples/YourDesiredSample/ subtree.
If you want to filter even more tightly to a specific language, then you want to enable /*, /SharedContent, /Samples/YourDesiredSample/shared, and /Samples/YourDesiredSample/language. (Though I haven't tested this last version.)
If you just want ready-to-build samples, then download the ZIP. It packages the SharedContent directory automatically.
The instructions for partial deployment are in the README under "Using the Samples".

If you just want ready-to-build samples, then download the ZIP. It packages the SharedContent directory automatically.
The instructions for partial deployment are in the README under "Using the Samples".

Great. Thank you for quick and nice answers to my strange ideas =)
Special thank you for the stale branch "win10-1507", because of very userful things for some Win10Mobile retroman :)

fresh "dev" branch is very cool because of feeling that UWP is long-year-live thing! 💯
Best,
MediaExplorer


Fix Popen + pyinstaller issue

https://github.com/pyinstaller/pyinstaller/wiki/Recipe-subprocess

In the bootloader, PyInstaller calls SetDllDirectory so that some ctypes modules will work as expected. This behavior is Windows specific and does not respect the PATH loading order; the PyInstaller DLLs will be loaded first, regardless of PATH. See issue 3795 for additional details

fixed by https://github.com/ericoporto/agstoolbox/commit/d2e887a5d8ec4ed14a61af195ecce6ccdc6f67a2


jupyter_client is missing from the requirements list

Traceback (most recent call last):
  File "/usr/ports/science/py-spyder/work-py27/spyder-3.2.5/spyder/app/mainwindow.py", line 3110, in main
    mainwindow = run_spyder(app, options, args)
  File "/usr/ports/science/py-spyder/work-py27/spyder-3.2.5/spyder/app/mainwindow.py", line 3007, in run_spyder
    main.setup()
  File "/usr/ports/science/py-spyder/work-py27/spyder-3.2.5/spyder/app/mainwindow.py", line 932, in setup
    from spyder.plugins.ipythonconsole import IPythonConsole
  File "/usr/ports/science/py-spyder/work-py27/spyder-3.2.5/spyder/plugins/ipythonconsole.py", line 25, in <module>
    from jupyter_client.connect import find_connection_file
ImportError: No module named jupyter_client.connect

Also, if possible, please make jupiter optional, because this is a heavy dependency, it assumes that Jupiter is installed, and Jupiter assumes that NodeJS is installed, etc.

Thanks for reporting. qtconsole is listed as a dependency, and jupyter-client is listed as a dependency of that, so it should get installed just fine normally at least using conda as I've successfully tested several times, in several different fashions. If you are installing using pip or another method, you are welcome to get it working on your own but due to the number of resulting problems with external dependencies, we recommend and can only officially support the Anaconda distribution and conda package manager at this time, sorry. Therefore, this issue will have to be closed for now, unless you can isolate a specific problem with Spyder. Best of luck!

Jupiter assumes that NodeJS is installed

That's true only if you want to develop things for Jupyter, but not for users.

But it breaks with the missing jupyter_client.connect when I just run bootstrap.py.
What is the recommended way to run to not use jupyter_client.connect?

There's no way to not use jupyter_client, sorry.
El 27/12/17 a las 22:27, yurivict escribió:

But it breaks with the missing |jupyter_client.connect| when I just
run |bootstrap.py|.
What is the recommended way to run to not use |jupyter_client.connect|?
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
https://github.com/spyder-ide/spyder/issues/6073#issuecomment-354221747,
or mute the thread
https://github.com/notifications/unsubscribe-auth/AAWS7RUh39hz5ASvUVJeghLFjaOlXBnNks5tEwqWgaJpZM4RN18T.


BUG: Ampersand & symbol is allowed across different ID-s.

To reproduce:

Create new archive with model-id containing "&" symbol.
Upload archive to sandbox
URL is not accessible

Thank you for the report! It turned out to be an issue in the repository, not the editor. It's fixed now.


A better solution on snippetsPreventQuickSuggestions

@jrieken
Do you know the Curse of knowledge? New users of VSCode don't just need to change it to false. First of all, they have to know that this setting option exists.
If VSCode can't consider new users, then I will keep repeating feedback until VSCode becomes more usable.
I finally found the only example on the Internet where snippetsPreventQuickSuggestions needs to be set to true, as follows:
this can backfire. if Intellisense suggests something and you click tab to go to the next snippet place, it will complete the suggestion. E.g. for snippet; typing i as variable; Intellisense suggestion:int; click tab; int inserted. But to avoid this, click escape before tab (only if Intellisense prompted) – Superior Nov 9 '19 at 9:58
@lisichka Thanks. – Mark Dec 23 '19 at 16:18
@SUPERIOR Why does visual studio not have this problem? Why can't vs code provide the same experience as visual studio? – Joke Huang Aug 16 at 10:59
@jokehuang Why is that question directed towards me? I don't know – Superior Aug 16 at 14:29
add a comment
https://stackoverflow.com/questions/55683145/intellisense-not-working-in-code-snippets-vs-code
However, it can be seen from the example that the problem is not Quick Suggestions, but TAB is responsible for moving the snippet place and confirming Quick Suggestions at the same time.
When it is true, the only convenience is not to manually press the ESC key, but not everyone needs to use TAB to move snippet place or confirm Quick Suggestions, so it is not necessary.
I have been using the Enter key to confirm Quick Suggestions, and I know TAB for the first time.
If you have to prevent something, you can prevent TAB from confirming Quick Suggestions in snippets, and only move the snippet place.

@jrieken
https://github.com/microsoft/vscode/issues/102580#issuecomment-677683955
" jrieken commented 15 days ago
Snippets prevent quick suggestions because it is otherwise impossible to type and tab through a snippet. E.g. insert a snippet with multiple tab stops, tab to the first, type, quick suggest shows, press tab, suggestion is inserted but next tab stop should have been selected. That means, out of the box, tab stops don't work or at least they don't work well. Therefore quick suggestions are disabled when snippet mode is active, suggestion can still be triggered manual (usually via ctrl+space) or via trigger characters but they don't get in you face and prevent you from navigating through a tab stops"
Sorry, I just saw this reply. If you answered this question at the beginning, there will be no repeated questions later.
And there is no contradiction between this and the new solution I proposed this time. It happens to be able to perfectly solve the problem you mentioned, so that both parties can be satisfied. Why not?
When I set it to false, I still want to TAB move, what should I do?
In addition, the reason that led me to post this issue repeatedly is because you did not answer this question and you closed it directly. I don’t know what it means to close, so I can only resend it.

@gjsjohnmurray


Docs rendering improvements

Misc visual improvements to the guidebook rendering

margins are not being set consistently
spacing after markdown sections is too tight

General rendering improvements have been made in how the docs are presented. Specifically, all all elements have been normalized back to basic styling config and only the surgical changes needed for proper layout were added back. This was necessary to level set with respect to other UI development without having too many special rules affecting layout of new components.


Fail to delete/download/open files under sub-directory filter mode for file shares

Storage Explorer Version: 1.28.0
Build Number: 20230202.3
Branch: rel/1.28.0
Platform/OS: Windows 10/Linux Ubuntu 22.04/MacOS Ventura 13.2 (MacBook Air Intel)
Architecture: ia32/x64
How Found: From running test case
Regression From: Not a regression
Steps to Reproduce

Expand one storage account -> File Shares.
Create a new file share -> Create a folder 'New Folder'.
Upload one file to the folder.
Type 'New Folder/' into the 'Filter by prefix' box.
Select the file -> Try to delete it.
Check whether succeeds to delete the file.

Expected Experience
Succeed to delete the file.
Actual Experience
Fail to delete the file.

Error details:
{   "message": "\"failed to perform remove command due to error: cannot start job due to error: -> github.com/Azure/azure-storage-file-go/azfile.newStorageError, /home/vsts/go/pkg/mod/github.com/!azure/azure-storage-file-go@v0.6.1-0.20201111053559-3c1754dc00a5/azfile/zc_storage_error.go:42\\n===== RESPONSE ERROR (ServiceCode=ResourceNotFound) =====\\nDescription=The specified resource does not exist.\\nRequestId:fe9d0d81-c01a-0010-3ce1-369f1f000000\\nTime:2023-02-02T08:39:55.5750590Z, Details: \\n   Code: ResourceNotFound\\n   GET https://arbacadls.file.core.windows.net/share/New%20Text%20Document.txt?restype=directory&se=2023-03-04t08%3A39%3A53z&sig=-REDACTED-&sp=rwdl&sr=s&sv=2021-10-04&timeout=901\\n   User-Agent: [Microsoft Azure Storage Explorer, 1.28.0, win32, azcopy-node/2.11.0-rc.1 (win32)  AzCopy/10.17.0 Azure-Storage/0.8.0 (go1.19.2; Windows_NT)]\\n   X-Ms-Client-Request-Id: [dde39f3d-7ff4-4db3-5639-2f9c615acc4c]\\n   X-Ms-Version: [2020-10-02]\\n   --------------------------------------------------------------------------------\\n   RESPONSE Status: 404 The specified resource does not exist.\\n   Content-Length: [223]\\n   Content-Type: [application/xml]\\n   Date: [Thu, 02 Feb 2023 08:39:55 GMT]\\n   Server: [Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0]\\n   X-Ms-Client-Request-Id: [dde39f3d-7ff4-4db3-5639-2f9c615acc4c]\\n   X-Ms-Error-Code: [ResourceNotFound]\\n   X-Ms-Request-Id: [fe9d0d81-c01a-0010-3ce1-369f1f000000]\\n   X-Ms-Version: [2020-10-02]\\n\\n\\n.\\n\"" }
Additional Context

This issue doesn't reproduce for ADLS Gen2 blobs/Regular blobs.
Show a successful log below when trying to delete more than one file at the same time.

Verified this issue on the build main/20230203.13. Fixed. So, we are going to close it.


Make progressive output a list

An implementation of #462. This is a precursor to supporting progressive output for Pydantic Cog models on Replicate.
It's not documented, but it wasn't documented before, so I think we can defer that. #435
There is another bug fix in here with a little semantic change to the progressive output response. Details in the commit.
Closes #462

Yes, that’ll fix it!
On Fri, 4 Mar 2022 at 18:44, Ben Firshman @.***> wrote:

@.**** commented on this pull request.
In python/cog/predictor.py
https://github.com/replicate/cog/pull/463#discussion_r819820129:

if OutputType.name != "Output":

if not hasattr(OutputType, "name") or OutputType.name != "Output":

This fixes a problem with Any that @evilstreak
https://github.com/evilstreak mentioned, I think?
—
Reply to this email directly, view it on GitHub
https://github.com/replicate/cog/pull/463#pullrequestreview-900583430,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/AAASIPAXQW5IF7BDHI23OHTU6JKXLANCNFSM5P4BZJDQ
.
Triage notifications on the go with GitHub Mobile for iOS
https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675
or Android
https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.
You are receiving this because you were mentioned.Message ID:
@.***>

Pushed a minor fix for progressive files. It now calls encode_json() before adding to output, that way the filenames stay consistent and it doesn't upload unnecessary files to storage.


Deprecate and remove symlink

Currently the recipe renames the binary from sex to source-extractor and adds a symlink from the latter to the former. As discussed in the original feedstock PR (https://github.com/conda-forge/staged-recipes/pull/8764),  this symlink should be deprecated and removed at some point.

Help command displays sex name yet. It should be fixed before deprecation.
[julio@Dell7995 ~]$ source-extractor

         SExtractor  version 2.25.0 (2019-10-03)

Written by Emmanuel BERTIN<EMAIL_ADDRESS>Copyright 2012-2015 IAP/CNRS/UPMC

visit http://astromatic.net/software/sextractor

SExtractor comes with ABSOLUTELY NO WARRANTY
You may redistribute copies of SExtractor
under the terms of the GNU General Public License.

> SYNTAX: sex <image> [<image2>][-c <configuration_file>][-<keyword> <value>]
> to dump a default configuration file:          sex -d
> to dump a default extended configuration file: sex -dd
> to dump a full list of measurement parameters: sex -dp


[Documentation] Better documentation of light/dark theme transition

I am a product manager and design lead for a design team using Material as a framework for group of applications that will require both light and dark mode.
We are attempting to give the designers some guidelines for how material applies default.background and default.paper and how those colors transition when switching from light to dark and vice versa. Material-UI's Theme page (https://material-ui.com/customization/default-theme/) displays the hex values for light mode, but does not display the corresponding hex codes for dark mode when toggling to the dark theme.
The original attempt to remedy this issue was by using a color picker tool to "test" colors in light and dark mode while viewing them on www.material-ui.com. We also used the theme console command to determine what the theme properties were on www.material-ui.com. It quickly became apparent that Material-UI was not applying the default material theme to their own documentation website:
Light mode default.background color in the default theme is #FAFAFA, www.material-ui.com uses #FFF as their default.background; furthermore, www.material-ui.com uses two additional levels that are not found in the Material-UI theme: default.level1 and default.level2.
Some clarity on how Material-UI's default theme applies color to components in light and dark mode would help us build an accurate design library and ensure that toggling between light and dark mode in applications is seamless.

I'll work on a PR to make the inspector in the "Default Theme" page aware of the current theme.


Fix/macos controller segfault

Fixes #2320
This change is very simple and only mitigates the issue by fixing the null pointer deref.
For the future, it might be a good idea to add functionality to GLFW to detect controllers that are detected, but are not accessible due to missing input monitoring consent. Perhaps a function similar to glfwJoystickPresent, like glfwJoystickAllowed. This would allow applications to notify the end user about granting permission.

Isn’t it possible to instead of asking the user to figure out how to give this permission themselves, to just simply bring up a standard Cocoa prompt for them to click «accept» or «decline» on, for enabling the permission?


Apply transcript filtering to protein view and reposition filter & sort box

Applying transcript filters to protein view
showing message when there are no transcripts after applying filters on protein view

Type

[ ] Bug fix
[ ] New feature
[x] Improvement to existing feature

Related JIRA Issue(s)
https://www.ebi.ac.uk/panda/jira/browse/ENSWBSITES-1038
Importance
N/A
Description
Applying transcript filters on the entity viewer and show message when there is no transcripts after applying filters. Also moving the filter box as shown in the XD on the jira ticket.
Deployment URL
http://reposition-filter-box.review.ensembl.org
Views affected
Entity viewer
Other effects
N/A

[ ] I have checked any requirements for Google Analytics
[ ] I have created any required tests
[ ] The PR has as its final commit a WASM/JS update commit if any Rust files were updated.

Possible complications
N/A

Doesn't the shadow look super weird in the protein view? It doesn't even look like a shadow there, but rather as a solid thick black bar in the bottom of the filters panel?
https://user-images.githubusercontent.com/6834224/121403257-a05eca00-c952-11eb-987a-12de272ee61a.mp4

@ens-ma7 still a problem in the proteins view:

@azangru fixed. Please review. Thanks

Do we want to add a minimum height to the panel content in this PR, or should we do this in a separate PR to avoid growing this one?

@azangru i have applied the min-height to the panel (hope i have done it the right place). Please have a look.
Thanks

@imransl and @jyothishnt is there anything you want to add to this PR or are you happy for me to merge it?

@imransl and @jyothishnt is there anything you want to add to this PR or are you happy for me to merge it?

Not for me. It looks good to be merged.


Configure Azure Pipelines

This pipeline configuration builds the application and produces a build for the Release configuration.

 Thank you for your submission, we really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.:x: Vanitha-Rani sign nowYou have signed the CLA already but the status is still pending? Let us recheck it.


Update zio, zio-test, zio-test-junit, ... to 1.0.8

Updates

dev.zio:zio
dev.zio:zio-test
dev.zio:zio-test-junit
dev.zio:zio-test-magnolia
dev.zio:zio-test-sbt

from 1.0.7 to 1.0.8.
GitHub Release Notes - Version Diff
I'll automatically update this PR to resolve conflicts as long as you don't change it yourself.
If you'd like to skip this version, you can just close this PR. If you have any feedback, just mention me in the comments below.
Configure Scala Steward for your repository with a .scala-steward.conf file.
Have a fantastic day writing Scala!

Ignore future updates
Add this to your .scala-steward.conf file to ignore future updates of this dependency:
updates.ignore = [ { groupId = "dev.zio" } ]

labels: library-update, semver-patch

Superseded by #63.


Create proposal: fix scroll bug

@bonustrack can't reproduce anymore.. maybe we can close this? or any other steps to reproduce?

@bonustrack
Could you please add a record video if you can still reproduce? I am not able to reproduce.


Feature/packages interfaces

https://github.com/xm-online/xm-webapp/pull/1669
https://github.com/xm-online/xm-webapp/pull/1671
merged to https://github.com/xm-online/xm-webapp/pull/1677
https://github.com/xm-online/xm-webapp/pull/1679
https://github.com/xm-online/xm-webapp/pull/1680
https://github.com/xm-online/xm-webapp/pull/1681
https://github.com/xm-online/xm-webapp/pull/1682

merged refactor/package-components


Update README.md

@cwarnermm Thanks!


ABSOptionalParameters Getter Functions

In Modules/System/Azure Blob Services API/src/Helper/ABSOptionalParameters.Codeunit.al it would be nice to be able to get the values that were set.  It would be fairly straightforward.
You have this
    /// <summary>
    /// Filters the results to return only blobs whose names begin with the specified prefix.
    /// </summary>
    /// <param name="Value">Prefix to search for</param>
    procedure Prefix("Value": Text)
    begin
        SetParameter('prefix', "Value");
    end;

We need for each setter a getter
    /// <summary>
    /// Gets the prefix value set, if any.
    /// </summary>
    /// <returns>prefix, empty string if not set</returns>
    procedure Prefix(): Text
    begin
        exit(GetParameter('prefix'));
    end;

    internal procedure GetParameter(KeyName: Text) : Text
    var
        KeyValue: Text
    begin
        if Parameters.Get(KeyName, KeyValue) then
           exit(KeyValue);

        exit(''):
    end;

I'd be happy to contribute the change if this is something you would agree to.

@JesperSchulz is this something that would be acceptecd for the system application?

@tscottjendev @pri-kise
This sounds like a perfectly fine request. Go ahead and contribute it with a PR and I'll process it.
I'll close this issue in the meantime but once the PR is open, feel free to @ me and link to this issue. :)

I have the work completed but I can't compile the application I am getting these errors:

Error | DotNet Aliases/src/dotnet.al | The type   'Microsoft.Dynamics.Nav.DocumentService.Types.ConflictBehavior' could not be   found in assembly 'Microsoft.Dynamics.Nav.DocumentService.Types,   Version=<IP_ADDRESS>, Culture=neutral, PublicKeyToken=31bf3856ad364e35' | [459:14]
Error | DotNet Aliases/src/dotnet.al | The type 'Microsoft.Dynamics.Nav.DocumentService.Types.UploadedDocument'   could not be found in assembly 'Microsoft.Dynamics.Nav.DocumentService.Types,   Version=<IP_ADDRESS>, Culture=neutral, PublicKeyToken=31bf3856ad364e35' | [462:14]
Error | DotNet Aliases/src/dotnet.al | The type 'Microsoft.Dynamics.Nav.LicensingService.Model.GroupInfo' could   not be found in assembly 'Microsoft.Dynamics.Nav.LicensingService.Model,   Version=1.0.57930.1, Culture=neutral, PublicKeyToken=31bf3856ad364e35' | [584:14]
Error | Server Settings/src/ServerSettingImpl.Codeunit.al | 'DotNet Microsoft.Dynamics.Nav.Types.ALConfigSettings"' does not   contain a definition for 'TestAutomationEnabled'" | [75:37]
Error | Server Settings/src/ServerSettingImpl.Codeunit.al | 'DotNet Microsoft.Dynamics.Nav.Types.ALConfigSettings"' does not   contain a definition for 'UsePermissionsFromExtensions'" | [82:31]
Error | Server Settings/src/ServerSettingImpl.Codeunit.al | 'DotNet Microsoft.Dynamics.Nav.Types.ALConfigSettings"' does not   contain a definition for 'IsSaaS'" | [88:31]

I have added all the assembly probing paths and tried the Microsoft.Dynamics.Nav.Types dll from version 21 and 22.  What am I missing?


Preserving newlines in data-clipboard-text

I'm struggling to get newlines across to the clipboard. I don't know if this is related to this issue. The clipboard is triggered on a  element, not a button, and all is working OK except newlines.
The  looks something like:
Some text

Note the \n in the data-clipboard-text attribute after the timestamp. Like this, it becomes a literal '\n' in the copied string. I then read that for data attributes, it's necessary to use
 for newlines. Replacing it like this:
Some text

then works OK in the browser console if I print the text there. But what gets copied to the clipboard (testing in SublimeText3) is this:
Last updated: Mon, 12 Oct 2015 20:16:53 UTCLast commit id: xyz

Note the newline character has simply vanished, and the text is run together. Is there any way to specify a newline in a data-clipboard-text attribute which will be preserved all the way?

Looking closer with this code:
var clipboard = new Clipboard(".cpy", {
	text: function(trigger) {
		var s = trigger.getAttribute("data-clipboard-text");
		console.log(s);
		for (var i = 0; i< s.length; i++) {
			console.log(i, s[i], s[i].charCodeAt(0));
		}
		return s;
	}
});

I can see the character
 does indeed appear in the string s as an ASCII character code 10, so I guess something is eating it later on?
I also tried
, &#d;&#a; and
&#xd. All codes are correctly represented in s above, but all vanish in what ends up in the clipboard.

Ah ha. This is only happening with the minified version. So, this shows the problem:

but this does not:

Running a diff on the two isn't helping :)...

And I ran my local copy of the standard version through uglifyjs (2.5.0 on Windows), and the minified version works as it should. So, I'll stick with a local copy for now - but obviously would be ideal for the CDN version to work too. I'm not sure if it's possible to write a test for that, since the string in JS looks fine - it's just what ends up in the clipboard which isn't...

Hey @dsl101,
Thanks for sharing your problem and solution ;)
This sounds like a bug with RawGit. You can try cdnjs or jsdelivr.

Thanks - both of those work fine. I didn't spot there were other sources though - might be worth updating the install instructions? I'll see if I can find somewhere to report the issue with rawgit.
Tx.

I reported this to rawgit. Turns out the version being served by rawgit doesn't include this update. So the fake element type is still 'input' in the rawgit version, and hence line breaks are not supported.
I put in the rawgit ticket that I wasn't sure who needed to do what about that... If you need it, it's this issue.

RawGit's CDN caches files permanently based on their URL, which is why the RawGit website and docs recommend using tags or commit refs in CDN URLs, not branches. In this case, the file was cached based on a branch URL at a point in time prior to the desired update, so that URL will always reflect that version of the file. To refer to a specific version of the file, use a URL containing a commit ref or tag rather than a branch.

@zenorocha hi, I know this issue is quite old but I keep on having this problem, the one described by @dsl101 at first...... The newline character is vanished when copied to the clipboard

To support new line, you have to use the <textarea> to hold the text.
To do this, you can assign a target which points to a real, visible <textarea> on the page.
Or, by using the text option or the data-clipboard-text attribute, which will internally using a out of viewport <textarea> to do the job.
Here's the problem: if the <textarea>'s white-space property somehow got overwritten with value other then pre-wrap.
It will cause browsers to not copying the new line character.
My suggestion is to explicitly add white-space: pre-wrap to the internal <textarea>, so outside style sheets won't mess up the behavior.
This will make sure, at least, the text option and data-clipboard-text attribute will work the way it should.

try change you temp to textarea:
 function copyToClipboard(valor) { //my text value
            var $temp = $("<textarea>");
            $("body").append($temp);
            $temp.val(valor).select();
            document.execCommand("copy");
            $temp.remove();
        }


hotifx - remove param from input of rope_init

Context
What is the purpose of this PR? Is it to

[ ] add a new feature
[x] fix a bug
[ ] update tests and/or documentation
[ ] other (please add here)

In https://github.com/pytorch/torchtune/pull/1386 i introduced a bug by requiring parameters in rope_init,i .e.
def rope_init(self, scaling_factor):
	foo = baa(scaling_factor)

instead of:
def rope_init(self):
	foo = baa(self.scaling_factor)

When trying to run distributed, it broke, because distributed calls rope_init before compile. This PR fixes it by removing inputs from rope_init.
Test plan
ran tune run --nproc_per_node 4 full_finetune_distributed --config llama3_1/8B_full without errors

@ebsmothers, do our regression tests call the recipes? It should have failed if we were using the distributed full recipe: https://github.com/pytorch/torchtune/blob/d31649e75e51cf15dbdca004288c32550e8f7f8d/recipes/full_finetune_distributed.py#L428C32-L428C41


create useful git cmds with references in tools directory in repo

Git is very important to teach to students.
Next references are good ones:
https://product.hubspot.com/blog/git-and-github-tutorial-for-beginners
(playground with git)
https://learngitbranching.js.org/
http://geoscripting-wur.github.io/RProjectManagement/
Create directory under:
https://github.com/ITAM-DS/Propedeutico/tree/master/herramientas
Some useful tips
https://drivendata.github.io/cookiecutter-data-science/

Close #15


What about a Widget ?

Perdon my ignorance in scripting, but would it be possible to add a widget, something simple with one colored icon per door, the color to indicate the status, along with the status date/time ?
Thanks
Gilles

I simply saved the webpage to my home screen.   This question interest me though.   A quick look and I found an app in the play store called Meta Widget.   Will have to check that out.
I have tasker,  Have been thinking in the past to make some triggers that will open the webpage if the phone is plugged in when it see the garage door pi device.   But don't want it activating because I just plugged it in to charge.

I already tried this app (Meta Widget) with  http://192.168.1.xx:8887/st?id=xxx but no way. It doesn’t show the expected answer (closed # 2019-11-02 16:39:39 ), so I can’t do anything.
From: hadrins<EMAIL_ADDRESS>Sent: samedi 2 novembre 2019 15:23
To: andrewshilliday/garage-door-controller<EMAIL_ADDRESS>Cc: Gilles94500<EMAIL_ADDRESS>Author<EMAIL_ADDRESS>Subject: Re: [andrewshilliday/garage-door-controller] What about a Widget ? (#112)
I simply saved the webpage to my home screen. This question interest me though. A quick look and I found an app in the play store called Meta Widget. Will have to check that out.
I have tasker, Have been thinking in the past to make some triggers that will open the webpage if the phone is plugged in when it see the garage door pi device. But don't want it activating because I just plugged it in to charge.
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub https://github.com/andrewshilliday/garage-door-controller/issues/112?email_source=notifications&email_token=AEA4RAJPBXKYXY7ZV6IBVILQRWENLA5CNFSM4IMED4V2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEC4472A#issuecomment-549048296 , or unsubscribe https://github.com/notifications/unsubscribe-auth/AEA4RANVAQ5SQSPB36MVZQTQRWENLANCNFSM4IMED4VQ .  https://github.com/notifications/beacon/AEA4RAMLD465NDJIUBXZE43QRWENLA5CNFSM4IMED4V2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEC4472A.gif

I just tried it with just http:///    with no password.   I don't recommend doing this as you can accidently open and close the door.    For me just having the webpage link saved to the home screen is good enough.


RHODS: minor updates

testing: ods: create LDAP users independently of ODS_CI_NB_USERS

This allows creating first a large number of LDAP users, then running
the test multiple times with different user counts.

testing: ods: common: allows receving ODS_CI_NB_USERS ODS_SLEEP_FACTOR and ODS_EXCLUDE_TAGS values from env

This makes it easier to override the value of these variables without
modifying the source files.

/cc @fcami

/test ods-jh-on-single

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 1:41 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 6f9258b
https://github.com/openshift-psap/ci-artifacts/commit/6f9258bf007f764a8d2271f81cce320126781aab
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560229562879578112
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219389975,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQITMETKH3T3EXCAKHALVZYONNANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 1:53 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single a48e74e
https://github.com/openshift-psap/ci-artifacts/commit/a48e74e8743bf450ea49b9d8caefb0b741c3219b
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560231231872831488
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219399609,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQITLO4B3JJZILEB7T7TVZYPZ3ANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 2:02 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single e9e7b44
https://github.com/openshift-psap/ci-artifacts/commit/e9e7b44b32ef8df9db9d557b8887bc1f22ac3eec
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560233908551815168
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219407232,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQIWHCX3LCHHEG2OZI6DVZYQ3ZANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 2:42 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 2dbc74b
https://github.com/openshift-psap/ci-artifacts/commit/2dbc74b4d91ed05540d13612720d69a583505d07
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560245288642285568
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219445544,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQISXM6NFJ45EAH63AH3VZYVSFANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 3:17 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single d0e5dbf
https://github.com/openshift-psap/ci-artifacts/commit/d0e5dbf2d12dad8c57933570c8ea40143ebb49fd
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560246592299077632
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219481418,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQIUEFL2OUW2XAVPRWQ3VZYZVRANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 3:29 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single d0e5dbf
https://github.com/openshift-psap/ci-artifacts/commit/d0e5dbf2d12dad8c57933570c8ea40143ebb49fd
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560255700377014272
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219494068,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQIRKXH75Q7ICV2PB2R3VZY3BZANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 3:57 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single d0e5dbf
https://github.com/openshift-psap/ci-artifacts/commit/d0e5dbf2d12dad8c57933570c8ea40143ebb49fd
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560262665589231616
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219527371,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQISTWQNEFTQIH3MYDZLVZY6NHANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 5:51 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 50c20b8
https://github.com/openshift-psap/ci-artifacts/commit/50c20b844a847e3ee5598d5edb538a4cb0d1934e
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560276342602207232
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219657880,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQIV2WE64OTWVUFIJFADVZZLWFANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 6:09 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 50c20b8
https://github.com/openshift-psap/ci-artifacts/commit/50c20b844a847e3ee5598d5edb538a4cb0d1934e
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560295295273668608
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219676660,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQISP7SEOR3WIJL5UG53VZZNZRANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 6:31 PM Kevin Pouget @.***> wrote:

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 6:09 PM openshift-ci[bot] <
@.***> wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 50c20b8
https://github.com/openshift-psap/ci-artifacts/commit/50c20b844a847e3ee5598d5edb538a4cb0d1934e
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560295295273668608
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219676660,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQISP7SEOR3WIJL5UG53VZZNZRANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-get-cluster
On Thu, Aug 18, 2022 at 7:03 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following test failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 8d0962c
https://github.com/openshift-psap/ci-artifacts/commit/8d0962cf862cfd62ddec80a981ae68de19f73d3a
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560303634640539648
true /test ods-jh-on-single
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219727906,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQIWH46ZPWGWR5JQOF33VZZUGNANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single
On Thu, Aug 18, 2022 at 7:29 PM openshift-ci[bot] @.***>
wrote:

@kpouget https://github.com/kpouget: The following tests failed, say
/retest to rerun all failed tests or /retest-required to rerun all
mandatory failed tests:
Test name Commit Details Required Rerun command
ci/prow/ods-jh-on-single 8d0962c
https://github.com/openshift-psap/ci-artifacts/commit/8d0962cf862cfd62ddec80a981ae68de19f73d3a
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-jh-on-single/1560303634640539648
true /test ods-jh-on-single
ci/prow/ods-get-cluster 8d0962c
https://github.com/openshift-psap/ci-artifacts/commit/8d0962cf862cfd62ddec80a981ae68de19f73d3a
link
https://prow.ci.openshift.org/view/gs/origin-ci-test/pr-logs/pull/openshift-psap_ci-artifacts/474/pull-ci-openshift-psap-ci-artifacts-master-ods-get-cluster/1560313612818452480
true /test ods-get-cluster
Full PR test history
https://prow.ci.openshift.org/pr-history?org=openshift-psap&repo=ci-artifacts&pr=474.
Your PR dashboard
https://prow.ci.openshift.org/pr?query=is:pr+state:open+author:kpouget.
Instructions for interacting with me using PR comments are available here
https://git.k8s.io/community/contributors/guide/pull-requests.md. If
you have questions or suggestions related to my behavior, please file an
issue against the kubernetes/test-infra
https://github.com/kubernetes/test-infra/issues/new?title=Prow issue:
repository. I understand the commands that are listed here
https://go.k8s.io/bot-commands.
—
Reply to this email directly, view it on GitHub
https://github.com/openshift-psap/ci-artifacts/pull/474#issuecomment-1219750692,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/ABZVQIRQXO62LFSWY4LCTS3VZZXHVANCNFSM564US6TA
.
You are receiving this because you were mentioned.Message ID:
@.***>

/test ods-jh-on-single

/test ods-get-cluster

Workflow completed, but the tests failed because ODS-CI is out of sync with RHODS.
Merging this PR as it's unrelated, I'll fix the issue in another PR.


Update donate button

Hey 👋@ri0nardo @zoobot please check out the style on hover, and if you'd like me to change it design wise.
I am uncertain about its appearance.

@Tijani-zainab can you make the text style regular, not bold. other than that I think its good to go.

Hi @ri0nardo I apologize for making the change so late. I've been experiencing power issues - it's exhausting.

🙌🏾🙌🏾

Hi @ri0nardo I apologize for making the change so late. I've had power issues - it's exhausting.

no rush! thanks for getting this out.


start_futures_multiplex_socket Not Working

Describe the bug
start_futures_multiplex_socket is not working
My Code
from binance import Client, ThreadedWebsocketManager
from binance.enums import FuturesType

API_KEY    = "MY_API_KEY"
API_SECRET = "MY_API_SECRET"

client = Client(API_KEY,API_SECRET)

# # # socket manager using threads
twm = ThreadedWebsocketManager(API_KEY,API_SECRET)
twm.start()

def handle_socket_message(msg):
    print(msg)

stream_list = ["btcusdt@kline_1m", "ethusdt@kline_1m"]
twm.start_futures_multiplex_socket(callback=handle_socket_message,streams=stream_list,futures_type=FuturesType.USD_M)

# # # join the threaded managers to the main thread
twm.join()

Expected behavior
working properly
Environment (please complete the following information):

Python version: 3.9.7
Virtual Env: conda
OS: windows10
python-binance: 1.0.14

@mhasanjb
Try change the streams to
stream_list = ["btcusdt_perpetual@continuousKline_1m", "ethusdt_perpetual@continuousKline_1m"]


feat(worker): Add sourcemap support for worker bundles

Description
Improves the built-in worker plugin to support emitting sourcemaps for generated worker bundles. Closes #5395.
Tests have been added to validate that sourcemaps are generated for inline, non-inline, and shared workers.

Additional context

3 additonal test packages have been added:

sourcemap
sourcemap-hidden
sourcemap-inline

Each of these packages are copied from the worker test package and adds a vite.config.ts to enable sourcemaps for the respective test case (true, hidden, and inline). The actual test code validates that the .js.map files are created and additionally that the source files link to them using a //# sourceMappingURL= comment.
One tricky edge case is the scenario where non-inline sourcemaps are being used with inline workers. In this case, the embedded comment has to use the full path (basepath + fileName) instead of simply using the file name. The tests don't address this case, partly because querying the inlined worker code would be pretty messy and it is something where manually running the playground catches the issue pretty easily.
Other details are mentioned via comments in worker.ts.

What is the purpose of this pull request?

[ ] Bug fix
[x] New Feature
[ ] Documentation update
[ ] Other

Before submitting the PR, please make sure you do the following

[x] Read the Contributing Guidelines.
[x] Read the Pull Request Guidelines and follow the Commit Convention.
[x] Check that there isn't already a PR that solves the problem the same way to avoid creating a duplicate.
[x] Provide a description in this PR that addresses what the PR is solving, or reference the issue that it solves (e.g. fixes #123).
[x] Ideally, include relevant tests that fail without this PR but pass with it.

@Shinigami92 It looks like this is working but might be waiting on mac/windows servers to run? And has been for a really long time. What would this take to get moving forward?

You need to update the branch with the newest main

@Shinigami92 Should I do that?

Would be nice :)

@KallynGowdy I just checked: rebase and merge both happen without incident!

uwu :slightly_frowning_face: seems there is an issue with windows?!

Mh I will let rerun the tests, could be an issue in CI not your fault :thinking:

@Shinigami92 Is there any update on this?

hi @KallynGowdy. Are you interested in continuing working on it? if not I can fork the PR and let it forward. ❤

@poyoho Yes, I can update it. Thanks for the offer though!

I think you can try to think about my unit test writing method 😊

Looks like another flaky test run...

There should be no problem. I often encounter this situation 🙆♂


Aserto.Topaz.v0.30.22

[x] Have you signed the Contributor License Agreement?
[x] Have you checked that there aren't other open pull requests for the same manifest update/change?
[x] This PR only modifies one (1) manifest
[x] Have you validated your manifest locally with winget validate --manifest <path>?

[x] Does your manifest conform to the 1.5 schema?

Note: <path> is the name of the directory containing the manifest you're submitting.

Microsoft Reviewers: Open in CodeFlow

Hi @gertd,

Current manifest version 0.30.21 has 3 parameters, which is greater than this PR's version number 's 1 parameters.

Is this intentional?
(Automated response - build 486)


Implement direct messages

Please, we need this

As of the current server, making a DM is simply creating a chat and inviting only a single user to it. Granted, this is a lazy workaround, but otherwise, a proper implementation of DMs would be useful in 0.6.0.


Update Android profiling instructions

I couldn't get any of this to work last time I tried. I assumed the entire page is completely broken and outdated. Turns out, all of it is still relevant, it's just recommending tools that haven't worked for many years. This changes the recommendation to tools that actually work.

Thanks for this! We're looking to migrate our in-depth tracing markers to be based on perfetto (we've switched to this workflow at Meta) and will look to make this part of the open-source tooling too.

Addressed + added info about method profiling

There's no reason that build should be failing, just tried it locally and it built fine...

Linter is failing with:

lmao "it's easy to get confused" is not the meaning of "easy" the linter was designed to prevent :D


fix the DS failing test

What does this PR do?

Fixes the failing DeepSpeed test in CI.

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.


python 2 compatibility: make bio_eda compatible

in order to have bio_eda compatible, in cvxEDA need to change:
frequency = 1/sampling_rate
to
frequency = 1./sampling_rate

@ucohen thanks for pointing this out. Would you like to make a small PR with this change yourself :) ?

Fixed by #83


Egde function don't log console.error

Bug report
To Reproduce

Create a basic function with console.error("test")
invoque the function
try to find your message test in the logs

Expected behavior
The console error should be visible

This issue is sourced from upstream Deno, and it has been fixed now.

@burmecia do you have link to deno issue maybe ?

This was an issue with Deno Subhosting and how it interacted with our logging pipeline, and not the deno language itself @riderx. Are you still seeing errors not logged?

Thanks for the insight, i didn't try to switch back the message to error, i will soon but i trust you did fix it !


Doesn't fetch anything for doghousediaries

the comic http://thedoghousediaries.com/ has it feed at http://feeds.feedburner.com/thedoghousediaries/feed?format=xml. However picofeed doesn't return anything for this, silently exit with code 255
% ~/picoFeed/picofeed debug http://feeds.feedburner.com/thedoghousediaries/feed\?format=xml
% echo $?
255

Well, that's odd. It's working for me with the latest picofeed version.

which php version do you use?
on which operation system?
any errors in your php error log?
is it possible to get a copy of your php.ini (via pastebin.com)?

Would you please rerun the command with full error reporting enabled:
php -d error_reporting=32767 -d display_errors=On ./picofeed debug "http://feeds.feedburner.com/thedoghousediaries/feed?format=xml"

Thanks for the head-up, I haven't enabled iconv.so in my ini. I would appreciate it if a diagnostic message is added.

I would appreciate it if a diagnostic message is added.

Please open a new ticket for this feature request! So that it doesn't accidentally got lost.


Fix #101

#101

#101

You can link PR to auto-close GitHub issue by using certain words: https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword