Feature Request: Replay tick data

Is it feasible to incorporate a feature for replaying tick data during holidays or non-market hours? This would enable testing of the bots we created without being constrained by market timings.
Just in case if  this feature already available, please giude me.

Dear Client,
Currently streaming of ticks during non market Hour or Holidays is not available.
[E29CF836]
Thanks & Regards,
Amrit Mohanty,
API & Algo Products,
Derivatives, EPG
ICICIdirect

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Subject: [Idirect-Tech/Breeze-Python-SDK] Feature Request: Replay tick data (Issue #65)
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Is it feasible to incorporate a feature for replaying tick data during holidays or non-market hours? This would enable testing of the bots we created without being constrained by market timings.
Just in case if this feature already available, please giude me.
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Automated cherry pick of #7714: Feature & Fix for Notify

Cherry pick of #7714 on release/3.4.
#7714: feat(notify): Add 'get-types' action for ConfigManager

/lgtm
/approve


Really poor performance for moderately sized trees

It is not uncommon for my users to have a few thousand nodes in their trees. For smaller trees, with less than a hundred nodes, performance is typically decent. When you start to get bigger than that, performance gets noticeably worse with size. I have created a jsfiddle that demonstrates this poor performance with a simple tree with only 1000 nodes. Simply moving 1000 nodes takes about a minute and a half in Chrome. In IE 11, I waited for over an hour and the operation never finished. The tab just crashed.
When doing some profiling in Chrome, I noticed that almost all the time was spent in redrawing and sorting the nodes. There is no reason for the tree to be redrawing and sorting with each and every node changed. So I simply removed the redraw and sort methods (set them to jQuery noop), perform an operation, and then restore the methods. The performance is drastically better. IE was able to move and delete the same number of nodes nearly instantaneously. Please see this jsfiddle for an example.
Bulk operations of all types should not be redrawing or sorting until the end. For my use case, I have used this hack to get around the abysmal performance in larger trees, but it would be nice if this was handled by the library in a less hackish way.

Hello,
Thank you for the detailed description and the fiddles - that is really great.
Unfortunately, I can not add this functionality as it is, as it will have side effects in some use cases - v.3 is build around sync operations and many developers depend on the DOM updating as the events trigger.
I am however working on a custom virtual DOM implementation for jstree v.4, which completely decouples the visualization from the underlying data structure and only redraws when the browser is free.
So I will hold off from such major changes in the v.3 branch and keep my focus on v.4, if it takes too long I will wrap your idea in a plugin and bundle it in v.3, but for now I am closing this as "won't fix in this version".
Best regards,
Ivan


cats: add refineEither* methods

Most users have moved away from explicitly using Validated and its variants. Instead, most of us use Either and its variants EitherNec and EitherNel together with the Parallel methods such as parMapN, which uses Validated instances before transforming it back to Either.

adds refineEither
renames refineNec -> refineValidatedNec
renames refineNel -> refineValidatedNel
adds refineNec returning EitherNec
adds refineNel returning EitherNel
adds catsValidation example to showcase refineNel and parMapN

I'd like to get your feedback before I update the documentation. I propose to promote the usage of Either in the docs.

adds refineEither

This method already exists in the main module.
For the other changes, a PR is still welcomed since I am working on cross compilation to SJS/SN 😉

Ah completely missed that one, thanks! I'll remove it. Any preferences regarding the documentation for the Cats module?

I am working on cross compilation to SJS/SN wink

Awesome! 🚀

Also, if you have some time, please have a look at https://github.com/Iltotore/iron/discussions/67 (happy to work on it!)


MultilayerRegression model

Hello, great work!
One question - the MultilayerRegression model, defined here: https://github.com/JayMan91/NeurIPSIntopt/blob/c963927a3e40934312ddfdf400f10eb506acc7dc/Interior/intopt_energy_mlp.py#L34
is defined as a sequence of linear layers without any non-linearity, and thus it is still a linear model.
Can you confirm that's correct, and that is the model you used for producing the results in your paper?

Thank you very much. For this experiment, I used linear model. I did experiment with nonlinearity but linear model performs the best.

Thank you very much. For this experiment, I used linear model. I did experiment with nonlinearity but linear model performs the best.


change the style of the npm version badge to the same as the others

Thanks will merge this soon, I actually will be doing badge work really soon.


Unable to run kubera components on Konvoy

Since Tuesday(yesterday) after the gitlab came up, when the Konvoy pipeline got triggered the Kubera components took more than expected time(more than 25-30 mins) and still pods weren't up.

The above issue is happening on all the clusters of Konvoy (C1,C2 and C3).
Current status when tried to install kubera, status of kubera components:
konvoy-oep@rack2:~/shivesh$ kubectl get po
NAME                                                    READY   STATUS             RESTARTS   AGE
alertmanager-6cb9896d58-hnc78                           0/1     Init:2/3           0          31m
alertstore-6df57df9dc-ct5wk                             0/1     Init:2/3           0          31m
alertstore-tablemanager-6d798c756d-p85ks                0/1     ImagePullBackOff   0          31m
cassandra-0                                             1/1     Running            0          31m
chat-server-9fd87877d-kw2r8                             0/1     ErrImagePull       0          31m
cloud-agent-759985db88-2ckg2                            1/1     Running            0          31m
configs-54865d6f6f-r8dfn                                1/1     Running            0          31m
configs-db-74d4fcd6c9-8bxjm                             1/1     Running            0          31m
consul-6c775c669-phf2t                                  1/1     Running            0          31m
distributor-75c86cd857-cqkn5                            0/1     Init:2/3           0          31m
elastalert-d8c884dbb-fs87r                              0/1     Init:1/2           0          31m
ingester-5794997bb-lrkj4                                0/1     PodInitializing    0          31m
kubera-nginx-ingress-controller-b59jn                   1/1     Running            0          31m
kubera-nginx-ingress-controller-cpk8q                   1/1     Running            0          31m
kubera-nginx-ingress-controller-d6wg4                   1/1     Running            0          31m
kubera-nginx-ingress-controller-hntbg                   1/1     Running            0          31m
kubera-nginx-ingress-controller-t7724                   1/1     Running            0          31m
kubera-nginx-ingress-default-backend-759497475f-rfbp2   1/1     Running            0          31m
kubera-nginx-ingress-default-backend-759497475f-tk9q9   1/1     Running            0          31m
maya-grafana-569f594fc7-4jhw5                           0/2     ErrImagePull       0          31m
maya-io-c58c84cb8-nsnz7                                 0/1     Init:2/8           0          31m
maya-ui-bf9c6f9-stpv6                                   1/1     Running            0          31m
memcached-f76c997dd-hmtrg                               1/1     Running            0          31m
mysql-0                                                 2/2     Running            0          31m
od-elasticsearch-logging-0                              1/1     Running            0          31m
od-kibana-logging-6bfcbf8c56-n4gtt                      0/1     ErrImagePull       0          31m
querier-7c665d74fc-b2bcr                                1/1     Running            0          31m
ruler-9d54f9bd9-88pw5                                   0/1     Init:3/6           0          31m
table-manager-6bd648d5f5-bh6x2                          1/1     Running            0          31m

Also for testing, tried to run nginx pod on the cluster. It took ~4mins to pull the image and then the pod came to Running state
  Type    Reason     Age    From                                          Message
  ----    ------     ----   ----                                          -------
  Normal  Scheduled  6m19s  default-scheduler                             Successfully assigned default/ng to director-centos-worker4.mayalabs.io
  Normal  Pulling    6m19s  kubelet, director-centos-worker4.mayalabs.io  Pulling image "nginx"
  Normal  Pulled     2m15s  kubelet, director-centos-worker4.mayalabs.io  Successfully pulled image "nginx"
  Normal  Created    2m15s  kubelet, director-centos-worker4.mayalabs.io  Created container ng
  Normal  Started    2m15s  kubelet, director-centos-worker4.mayalabs.io  Started container ng

New status and pod description:
alertmanager-6cb9896d58-hnc78                           0/1     Init:2/3          0          42m
alertstore-6df57df9dc-ct5wk                             0/1     PodInitializing   0          42m
alertstore-tablemanager-6d798c756d-p85ks                1/1     Running           0          42m
cassandra-0                                             1/1     Running           0          42m
chat-server-9fd87877d-kw2r8                             0/1     ErrImagePull      0          42m
cloud-agent-759985db88-2ckg2                            1/1     Running           0          42m
configs-54865d6f6f-r8dfn                                1/1     Running           0          42m
configs-db-74d4fcd6c9-8bxjm                             1/1     Running           0          42m
consul-6c775c669-phf2t                                  1/1     Running           0          42m
distributor-75c86cd857-cqkn5                            1/1     Running           0          42m
elastalert-d8c884dbb-fs87r                              0/1     Init:1/2          0          42m
ingester-5794997bb-lrkj4                                1/1     Running           0          42m
kubera-nginx-ingress-controller-b59jn                   1/1     Running           0          42m
kubera-nginx-ingress-controller-cpk8q                   1/1     Running           0          42m
kubera-nginx-ingress-controller-d6wg4                   1/1     Running           0          42m
kubera-nginx-ingress-controller-hntbg                   1/1     Running           0          42m
kubera-nginx-ingress-controller-t7724                   1/1     Running           0          42m
kubera-nginx-ingress-default-backend-759497475f-rfbp2   1/1     Running           0          42m
kubera-nginx-ingress-default-backend-759497475f-tk9q9   1/1     Running           0          42m
maya-grafana-569f594fc7-4jhw5                           0/2     ErrImagePull      0          42m
maya-io-c58c84cb8-nsnz7                                 0/1     Init:2/8          0          42m
maya-ui-bf9c6f9-stpv6                                   1/1     Running           0          42m
memcached-f76c997dd-hmtrg                               1/1     Running           0          42m
mysql-0                                                 2/2     Running           0          42m
od-elasticsearch-logging-0                              1/1     Running           0          42m
od-kibana-logging-6bfcbf8c56-n4gtt                      0/1     ErrImagePull      0          42m
querier-7c665d74fc-b2bcr                                1/1     Running           0          42m
ruler-9d54f9bd9-88pw5                                   0/1     Init:5/6          0          42m
table-manager-6bd648d5f5-bh6x2                          1/1     Running           0          42m

kubectl describe of the pods:
alertstore-tablemanager-6d798c756d-p85ks
Events:
  Type     Reason     Age                 From                                          Message
  ----     ------     ----                ----                                          -------
  Normal   Scheduled  32m                 default-scheduler                             Successfully assigned kubera/alertstore-tablemanager-6d798c756d-p85ks to director-centos-worker2.mayalabs.io
  Normal   Pulling    32m                 kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal   Pulled     24m                 kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal   Created    24m                 kubelet, director-centos-worker2.mayalabs.io  Created container astm-wait-for-crb
  Normal   Started    24m                 kubelet, director-centos-worker2.mayalabs.io  Started container astm-wait-for-crb
  Normal   Pulling    24m                 kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal   Pulled     15m                 kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal   Created    15m                 kubelet, director-centos-worker2.mayalabs.io  Created container astm-wait-for-cassandra
  Normal   Started    15m                 kubelet, director-centos-worker2.mayalabs.io  Started container astm-wait-for-cassandra
  Warning  Failed     9m22s               kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/alertstore-tablemanager:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/alertstore-tablemanager:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:37586-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     9m22s               kubelet, director-centos-worker2.mayalabs.io  Error: ErrImagePull
  Normal   BackOff    9m21s               kubelet, director-centos-worker2.mayalabs.io  Back-off pulling image "registry.mayadata.io/alertstore-tablemanager:1.11.0-RC4.ee"
  Warning  Failed     9m21s               kubelet, director-centos-worker2.mayalabs.io  Error: ImagePullBackOff
  Normal   Pulling    9m7s (x2 over 15m)  kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/alertstore-tablemanager:1.11.0-RC4.ee"

alertstore
  Type    Reason     Age   From                                          Message
  ----    ------     ----  ----                                          -------
  Normal  Pulling    33m   kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Scheduled  33m   default-scheduler                             Successfully assigned kubera/alertstore-6df57df9dc-ct5wk to director-centos-worker2.mayalabs.io
  Normal  Pulled     25m   kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    25m   kubelet, director-centos-worker2.mayalabs.io  Created container init-agent
  Normal  Started    25m   kubelet, director-centos-worker2.mayalabs.io  Started container init-agent
  Normal  Pulling    25m   kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Started    16m   kubelet, director-centos-worker2.mayalabs.io  Started container as-wait-for-cassandra
  Normal  Pulled     16m   kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    16m   kubelet, director-centos-worker2.mayalabs.io  Created container as-wait-for-cassandra
  Normal  Pulling    16m   kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     11m   kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    11m   kubelet, director-centos-worker2.mayalabs.io  Created container as-wait-for-as-tablemanager
  Normal  Started    11m   kubelet, director-centos-worker2.mayalabs.io  Started container as-wait-for-as-tablemanager
  Normal  Pulling    88s   kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/alertstore:1.11.0-RC4.ee"

chat-server-9fd87877d-kw2r8
  Type     Reason     Age                  From                                          Message
  ----     ------     ----                 ----                                          -------
  Normal   Scheduled  34m                  default-scheduler                             Successfully assigned kubera/chat-server-9fd87877d-kw2r8 to director-centos-worker2.mayalabs.io
  Warning  Failed     33m                  kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": failed to copy: http2: server sent GOAWAY and closed the connection; LastStreamID=31, ErrCode=NO_ERROR, debug=""
  Normal   BackOff    33m                  kubelet, director-centos-worker2.mayalabs.io  Back-off pulling image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee"
  Warning  Failed     33m                  kubelet, director-centos-worker2.mayalabs.io  Error: ImagePullBackOff
  Warning  Failed     23m                  kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:34542-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     12m                  kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:36364-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     2m39s (x4 over 33m)  kubelet, director-centos-worker2.mayalabs.io  Error: ErrImagePull
  Warning  Failed     2m39s                kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:39112-><IP_ADDRESS>:443: read: connection reset by peer
  Normal   Pulling    2m27s (x5 over 34m)  kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-chatops:1.11.0-RC4.ee"

elast-alert
  Type    Reason     Age   From                                          Message
  ----    ------     ----  ----                                          -------
  Normal  Scheduled  36m   default-scheduler                             Successfully assigned kubera/elastalert-d8c884dbb-fs87r to director-centos-worker2.mayalabs.io
  Normal  Pulling    35m   kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     27m   kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    27m   kubelet, director-centos-worker2.mayalabs.io  Created container rl-wait-for-crb
  Normal  Started    27m   kubelet, director-centos-worker2.mayalabs.io  Started container rl-wait-for-crb
  Normal  Pulling    27m   kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     19m   kubelet, director-centos-worker2.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    19m   kubelet, director-centos-worker2.mayalabs.io  Created container am-wait-for-maya-io
  Normal  Started    19m   kubelet, director-centos-worker2.mayalabs.io  Started container am-wait-for-maya-io

maya-grafana
  Type     Reason     Age                  From                                          Message
  ----     ------     ----                 ----                                          -------
  Normal   Scheduled  36m                  default-scheduler                             Successfully assigned kubera/maya-grafana-569f594fc7-4jhw5 to director-centos-worker4.mayalabs.io
  Warning  Failed     30m                  kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:56682-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     24m                  kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:57318-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     19m                  kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:58080-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     14m                  kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee": failed to copy: http2: server sent GOAWAY and closed the connection; LastStreamID=31, ErrCode=NO_ERROR, debug=""
  Warning  Failed     13m                  kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": failed to copy: http2: server sent GOAWAY and closed the connection; LastStreamID=23, ErrCode=NO_ERROR, debug=""
  Warning  Failed     9m44s                kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:59420-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     9m44s (x3 over 24m)  kubelet, director-centos-worker4.mayalabs.io  Error: ErrImagePull
  Normal   Pulling    9m43s (x4 over 36m)  kubelet, director-centos-worker4.mayalabs.io  Pulling image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee"
  Warning  Failed     4m35s (x4 over 30m)  kubelet, director-centos-worker4.mayalabs.io  Error: ErrImagePull
  Normal   Pulling    4m35s (x4 over 30m)  kubelet, director-centos-worker4.mayalabs.io  Pulling image "registry.mayadata.io/maya-grafana:1.11.0-RC4.ee"
  Warning  Failed     4m35s                kubelet, director-centos-worker4.mayalabs.io  Failed to pull image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/graph-reporter:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:59926-><IP_ADDRESS>:443: read: connection reset by peer

od-kibana-logging
  Type     Reason     Age                  From                                          Message
  ----     ------     ----                 ----                                          -------
  Normal   Scheduled  39m                  default-scheduler                             Successfully assigned kubera/od-kibana-logging-6bfcbf8c56-n4gtt to director-centos-worker2.mayalabs.io
  Warning  Failed     32m                  kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:33788-><IP_ADDRESS>:443: read: connection reset by peer
  Normal   BackOff    32m                  kubelet, director-centos-worker2.mayalabs.io  Back-off pulling image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee"
  Warning  Failed     32m                  kubelet, director-centos-worker2.mayalabs.io  Error: ImagePullBackOff
  Warning  Failed     22m                  kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:35438-><IP_ADDRESS>:443: read: connection reset by peer
  Warning  Failed     12m                  kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": failed to copy: http2: server sent GOAWAY and closed the connection; LastStreamID=29, ErrCode=NO_ERROR, debug=""
  Warning  Failed     2m15s (x4 over 32m)  kubelet, director-centos-worker2.mayalabs.io  Error: ErrImagePull
  Warning  Failed     2m15s                kubelet, director-centos-worker2.mayalabs.io  Failed to pull image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": rpc error: code = Unknown desc = failed to pull and unpack image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee": failed to copy: read tcp <IP_ADDRESS>:40616-><IP_ADDRESS>:443: read: connection reset by peer
  Normal   Pulling    2m (x5 over 39m)     kubelet, director-centos-worker2.mayalabs.io  Pulling image "registry.mayadata.io/maya-kibana:1.11.0-RC4.ee"

ruler
  Type    Reason     Age    From                                          Message
  ----    ------     ----   ----                                          -------
  Normal  Scheduled  41m    default-scheduler                             Successfully assigned kubera/ruler-9d54f9bd9-88pw5 to director-centos-worker5.mayalabs.io
  Normal  Pulling    40m    kubelet, director-centos-worker5.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     38m    kubelet, director-centos-worker5.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    38m    kubelet, director-centos-worker5.mayalabs.io  Created container rl-wait-for-crb
  Normal  Started    38m    kubelet, director-centos-worker5.mayalabs.io  Started container rl-wait-for-crb
  Normal  Pulling    38m    kubelet, director-centos-worker5.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     38m    kubelet, director-centos-worker5.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    38m    kubelet, director-centos-worker5.mayalabs.io  Created container rl-wait-for-cassandra
  Normal  Started    38m    kubelet, director-centos-worker5.mayalabs.io  Started container rl-wait-for-cassandra
  Normal  Pulling    33m    kubelet, director-centos-worker5.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     33m    kubelet, director-centos-worker5.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    33m    kubelet, director-centos-worker5.mayalabs.io  Created container rl-wait-for-consul
  Normal  Started    33m    kubelet, director-centos-worker5.mayalabs.io  Started container rl-wait-for-consul
  Normal  Pulling    33m    kubelet, director-centos-worker5.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     33m    kubelet, director-centos-worker5.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    33m    kubelet, director-centos-worker5.mayalabs.io  Created container rl-wait-for-ingester
  Normal  Started    33m    kubelet, director-centos-worker5.mayalabs.io  Started container rl-wait-for-ingester
  Normal  Pulling    7m35s  kubelet, director-centos-worker5.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     7m28s  kubelet, director-centos-worker5.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    7m28s  kubelet, director-centos-worker5.mayalabs.io  Created container rl-wait-for-querier
  Normal  Started    7m28s  kubelet, director-centos-worker5.mayalabs.io  Started container rl-wait-for-querier
  Normal  Pulling    7m26s  kubelet, director-centos-worker5.mayalabs.io  Pulling image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Pulled     7m25s  kubelet, director-centos-worker5.mayalabs.io  Successfully pulled image "registry.mayadata.io/maya-init:1.0.0"
  Normal  Created    7m25s  kubelet, director-centos-worker5.mayalabs.io  Created container rl-wait-for-alertmanager
  Normal  Started    7m24s  kubelet, director-centos-worker5.mayalabs.io  Started container rl-wait-for-alertmanager


Failed to start the Kernel.  Kernel Python 3.10.6 64-bit is not usable.

Applies To

[X] Notebooks (.ipynb files)
[ ] Interactive Window and/or Cell Scripts (.py files with #%% markers)

What happened?
Hey, Im trying to use jupyter notebooks in my VS Code and I can't run them. It says that is a problem with the Kernel, but I don't know how to solve it. I have a MacOs Big Sur, M1 2020
VS Code Version
Version: 1.71.0 Commit: 784b0177c56c607789f9638da7b6bf3230d47a8c Date: 2022-09-01T07:25:25.516Z Electron: 19.0.12 Chromium: 102.0.5005.167 Node.js: 16.14.2 V8: <IP_ADDRESS>-electron.0 OS: Darwin arm64 20.6.0 Sandboxed: No
Jupyter Extension Version
v2022.8.1002431955
Jupyter logs
Visual Studio Code (1.71.0, undefined, desktop)
Jupyter Extension Version: 2022.8.1002431955.
Python Extension Version: 2022.14.0.
Workspace folder /Users/PabloBustos/Desktop/Spotify_Mood_Playlists
error 20:8:37.679: Exception while attempting zmq : [Error: No native build was found for platform=darwin arch=arm64 runtime=electron abi=106 uv=1 armv=8 libc=glibc node=16.14.2 electron=19.0.12
    loaded from: /Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/node_modules/zeromq

	at load.path (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/node_modules/node-gyp-build/index.js:1:3163)
	at load (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/node_modules/node-gyp-build/index.js:1:648)
	at Object.<anonymous> (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/node_modules/zeromq/lib/native.js:1:198)
	at u._compile (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/loader.js:4:1313)
	at Module._extensions..js (node:internal/modules/cjs/loader:1220:10)
	at Module.load (node:internal/modules/cjs/loader:1035:32)
	at Module._load (node:internal/modules/cjs/loader:876:12)
	at c._load (node:electron/js2c/asar_bundle:5:13343)
	at s._load (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:111:14538)
	at p._load (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:106:62866)
	at E._load (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:106:62234)
	at Module.require (node:internal/modules/cjs/loader:1059:19)
	at p (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/loader.js:4:699)
	at Object.<anonymous> (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/node_modules/zeromq/lib/index.js:1:144)
	at u._compile (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/loader.js:4:1313)
	at Module._extensions..js (node:internal/modules/cjs/loader:1220:10)
	at Module.load (node:internal/modules/cjs/loader:1035:32)
	at Module._load (node:internal/modules/cjs/loader:876:12)
	at c._load (node:electron/js2c/asar_bundle:5:13343)
	at s._load (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:111:14538)
	at p._load (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:106:62866)
	at E._load (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:106:62234)
	at Module.require (node:internal/modules/cjs/loader:1059:19)
	at p (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/loader.js:4:699)
	at 92747 (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:17:503599)
	at __webpack_require__ (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:17:1383216)
	at l.zmqSupported (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2360645)
	at l.isSupportedForLocalLaunch (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2360388)
	at get isSupported [as isSupported] (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2360298)
	at t.registerTypes (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2376353)
	at /Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1792972
	at /Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1793727
	at /Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1793735
	at t.activate (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1793857)
	at Tn._callActivateOptional (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:97:17649)
	at Tn._callActivate (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:97:17307)
	at /Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:97:15118
	at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
	at async E._activate (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:85:8224)
	at async E._waitForDepsThenActivate (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:85:8166)
	at async E._initialize (/Users/PabloBustos/Desktop/Visual Studio Code.app/Contents/Resources/app/out/vs/workbench/api/node/extensionHostProcess.js:85:7530)]
User belongs to experiment group 'jupyterTest'
User belongs to experiment group 'jupyterEnhancedDataViewer'
info 20:8:37.864: LSP Notebooks experiment is enabled
info 20:8:38.242: Starting Jupyter Session id = 'startUsingPythonInterpreter:.jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher' (Python Path: , EnvType: Global, EnvName: '', Version: 3.10.6) for '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb' (disableUI=true)
info 20:8:38.299: Checking for server existence.
info 20:8:38.299: Checking for server usability.
info 20:8:38.410: Experiment status for python is {"enabled":true,"optInto":[],"optOutFrom":[]}
info 20:8:38.417: Preferred Remote kernel for /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb is undefined
info 20:8:38.418: Find preferred kernel for /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb with metadata {"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.6"},"toc":{"base_numbering":1,"nav_menu":{"height":"354px","width":"512px"},"number_sections":true,"sideBar":true,"skip_h1_title":false,"title_cell":"Table of Contents","title_sidebar":"Contents","toc_cell":false,"toc_position":{},"toc_section_display":true,"toc_window_display":false},"vscode":{"interpreter":{"hash":"aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"}}} & preferred interpreter /usr/local/bin/python3
info 20:8:38.419: Preferred Remote kernel for /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb is undefined
info 20:8:38.419: Preferred kernel .jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher is exact match or top match for non python kernels, (false, [object Object], true, false)
info 20:8:38.420: PreferredConnection: .jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher found for NotebookDocument: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb
info 20:8:38.487: Process Execution: > /usr/local/bin/python3 -m pip list
> /usr/local/bin/python3 -m pip list
info 20:8:38.490: Process Execution: > /usr/local/bin/python3 -c "import jupyter"
> /usr/local/bin/python3 -c "import jupyter"
info 20:8:38.491: Process Execution: > /usr/local/bin/python3 -c "import notebook"
> /usr/local/bin/python3 -c "import notebook"
info 20:8:38.564: Widget Message: Received IPyWidgetMessages.IPyWidgets_IsReadyRequest
info 20:8:38.659: Process Execution: > /usr/local/bin/python3 -m jupyter kernelspec --version
> /usr/local/bin/python3 -m jupyter kernelspec --version
info 20:8:38.762: Preferred Remote kernel for /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb is undefined
info 20:8:38.826: Starting notebook server.
info 20:8:38.827: Connecting to server
info 20:8:38.827: Launching server
info 20:8:38.827: Starting Notebook
info 20:8:38.829: Generating custom default config at /var/folders/77/l3vqtk2d4nzcp8jx9txwppc40000gn/T/d02a4aa7-2b78-4af0-9bba-8b1f0ad54433/jupyter_notebook_config.py
info 20:8:38.829: Starting Jupyter Notebook
Starting Jupyter from /usr/local/bin/python3
info 20:8:38.830: Creating daemon pool for /usr/local/bin/python3 with env variables count 25
info 20:8:38.830: Process Execution: > /usr/local/bin/python3 -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v --ppid 89386
> /usr/local/bin/python3 -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v --ppid 89386
info 20:8:38.832: Process Execution: > /usr/local/bin/python3 -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v --ppid 89386
> /usr/local/bin/python3 -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v --ppid 89386
info 20:8:38.833: Process Execution: > /usr/local/bin/python3 -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v --ppid 89386
> /usr/local/bin/python3 -m vscode_datascience_helpers.daemon --daemon-module=vscode_datascience_helpers.jupyter_daemon -v --ppid 89386
info 20:8:38.886: Process Execution: > /usr/local/bin/python3 (daemon) -m jupyter notebook --no-browser --notebook-dir="/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints" --config=/var/folders/77/l3vqtk2d4nzcp8jx9txwppc40000gn/T/d02a4aa7-2b78-4af0-9bba-8b1f0ad54433/jupyter_notebook_config.py --NotebookApp.iopub_data_rate_limit=10000000000.0
> /usr/local/bin/python3 (daemon) -m jupyter notebook --no-browser --notebook-dir="/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints" --config=/var/folders/77/l3vqtk2d4nzcp8jx9txwppc40000gn/T/d02a4aa7-2b78-4af0-9bba-8b1f0ad54433/jupyter_notebook_config.py --NotebookApp.iopub_data_rate_limit=10000000000.0
info 20:8:38.887: Waiting for Jupyter Notebook
/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
info 20:8:39.151: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(

[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints
info 20:8:39.326: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints

[I 20:08:39.325 NotebookApp] Jupyter Notebook 6.4.12 is running at:
info 20:8:39.326: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints
[I 20:08:39.325 NotebookApp] Jupyter Notebook 6.4.12 is running at:

[I 20:08:39.325 NotebookApp] http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
info 20:8:39.327: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints
[I 20:08:39.325 NotebookApp] Jupyter Notebook 6.4.12 is running at:
[I 20:08:39.325 NotebookApp] http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb

info 20:8:39.327: Process Execution: > /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
> /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
[I 20:08:39.325 NotebookApp]  or http://<IP_ADDRESS>:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
info 20:8:39.328: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints
[I 20:08:39.325 NotebookApp] Jupyter Notebook 6.4.12 is running at:
[I 20:08:39.325 NotebookApp] http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
[I 20:08:39.325 NotebookApp]  or http://<IP_ADDRESS>:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb

info 20:8:39.329: Process Execution: > /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
> /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
[I 20:08:39.325 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
info 20:8:39.329: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints
[I 20:08:39.325 NotebookApp] Jupyter Notebook 6.4.12 is running at:
[I 20:08:39.325 NotebookApp] http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
[I 20:08:39.325 NotebookApp]  or http://<IP_ADDRESS>:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
[I 20:08:39.325 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

[C 20:08:39.328 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///Users/PabloBustos/Library/Jupyter/runtime/nbserver-89436-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
     or http://<IP_ADDRESS>:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
info 20:8:39.331: /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/traitlets/traitlets.py:2392: FutureWarning: Supporting extra quotes around strings is deprecated in traitlets 5.0. You can use '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints' instead of '"/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints"' if you require traitlets >=5.
  warn(
[I 20:08:39.325 NotebookApp] Serving notebooks from local directory: /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints
[I 20:08:39.325 NotebookApp] Jupyter Notebook 6.4.12 is running at:
[I 20:08:39.325 NotebookApp] http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
[I 20:08:39.325 NotebookApp]  or http://<IP_ADDRESS>:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
[I 20:08:39.325 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 20:08:39.328 NotebookApp]

    To access the notebook, open this file in a browser:
        file:///Users/PabloBustos/Library/Jupyter/runtime/nbserver-89436-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb
     or http://<IP_ADDRESS>:8888/?token=f345594ef3c90b7d247ea76f5925cba540f44fc1143735fb

info 20:8:39.457: Execute Cell 1 /Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb
info 20:8:39.588: Connecting to process server
info 20:8:39.588: Connecting server kernel http://localhost:8888/
info 20:8:39.588: Creating server with url : http://localhost:8888/
info 20:8:39.591: Connection complete server
info 20:8:39.592: Server started.
info 20:8:39.642: Process Execution: > /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
> /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
info 20:8:39.642: Process Execution: > /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
> /usr/local/bin/python3 (daemon) ~/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/pythonFiles/vscode_datascience_helpers/getServerInfo.py
[I 20:08:39.670 NotebookApp] Creating new notebook in
info 20:8:39.698: installMissingDependencies /usr/local/bin/python3, ui.disabled=false for resource '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb'
info 20:8:39.699: Process Execution: > /usr/local/bin/python3 -c "import ipykernel"
> /usr/local/bin/python3 -c "import ipykernel"
info 20:8:39.806: Spec argv[0] updated from '/usr/local/bin/python3' to '/usr/local/bin/python3'
[I 20:08:39.862 NotebookApp] Kernel started: d6c013ca-c3ff-468f-8866-84d49b91b25d, name: python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49
info 20:8:39.868: Waiting for idle on (kernel): d6c013ca-c3ff-468f-8866-84d49b91b25d -> unknown
[W 20:08:39.873 NotebookApp] delete /SpotifyMoodPlaylists-checkpoint-jvsc-eb4b3a46-0e11-4693-a05d-973159f9448b6efb08fa-5734-4ce8-a962-0b0c1e7f296d.ipynb
[I 20:08:42.849 NotebookApp] KernelRestarter: restarting kernel (1/5), new random ports
[I 20:08:45.873 NotebookApp] KernelRestarter: restarting kernel (2/5), new random ports
[I 20:08:48.897 NotebookApp] KernelRestarter: restarting kernel (3/5), new random ports
[I 20:08:51.922 NotebookApp] KernelRestarter: restarting kernel (4/5), new random ports
[I 20:08:54.950 NotebookApp] KernelRestarter: restarting kernel (5/5), new random ports
[W 20:08:57.977 NotebookApp] KernelRestarter: restart failed
[W 20:08:57.978 NotebookApp] Kernel d6c013ca-c3ff-468f-8866-84d49b91b25d died, removing from map.
error 20:8:59.886: Session disposed while waiting for session to be idle.
error 20:8:59.887: Failed to change kernel, re-throwing [s [Error]: Kernel Python 3.10.6 64-bit is not usable. Check the Jupyter output tab for more information.
	at k.waitForIdleOnSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1942413)
	at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
	at async k.createNewKernelSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2223208)
	at async k.connect (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2221926)
	at async u.startNew (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2230566)
	at async s (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2166861)
	at async _.createNotebookInstance (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2167024)
	at async _.createNotebook (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2168029)
	at async t.Kernel.createJupyterSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2246177)
	at async t.Kernel.start (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2241145)
	at async k.wrapKernelMethodImpl (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2492201)] {
  category: 'invalidkernel',
  kernelConnectionMetadata: {
    kind: 'startUsingPythonInterpreter',
    kernelSpec: {
      specFile: '/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/temp/jupyter/kernels/python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49/kernel.json',
      interpreterPath: '/usr/local/bin/python3',
      isRegisteredByVSC: 'registeredByNewVersionOfExt',
      name: 'python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49',
      argv: [Array],
      language: 'python',
      executable: 'python',
      display_name: 'Python 3.10.6 64-bit',
      metadata: [Object],
      env: {}
    },
    interpreter: {
      id: '/usr/local/bin/python3',
      sysPrefix: '/Library/Frameworks/Python.framework/Versions/3.10',
      envType: 'Global',
      envName: '',
      architecture: 3,
      sysVersion: '3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-13<IP_ADDRESS>)]',
      version: [Object],
      displayName: 'Python 3.10.6 64-bit',
      detailedDisplayName: 'Python 3.10.6 64-bit',
      uri: [b]
    },
    id: '.jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher'
  }
}
warn 20:8:59.891: Error occurred while trying to start the kernel, options.disableUI=false [s [Error]: Kernel Python 3.10.6 64-bit is not usable. Check the Jupyter output tab for more information.
	at k.waitForIdleOnSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1942413)
	at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
	at async k.createNewKernelSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2223208)
	at async k.connect (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2221926)
	at async u.startNew (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2230566)
	at async s (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2166861)
	at async _.createNotebookInstance (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2167024)
	at async _.createNotebook (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2168029)
	at async t.Kernel.createJupyterSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2246177)
	at async t.Kernel.start (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2241145)
	at async k.wrapKernelMethodImpl (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2492201)] {
  category: 'invalidkernel',
  kernelConnectionMetadata: {
    kind: 'startUsingPythonInterpreter',
    kernelSpec: {
      specFile: '/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/temp/jupyter/kernels/python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49/kernel.json',
      interpreterPath: '/usr/local/bin/python3',
      isRegisteredByVSC: 'registeredByNewVersionOfExt',
      name: 'python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49',
      argv: [Array],
      language: 'python',
      executable: 'python',
      display_name: 'Python 3.10.6 64-bit',
      metadata: [Object],
      env: {}
    },
    interpreter: {
      id: '/usr/local/bin/python3',
      sysPrefix: '/Library/Frameworks/Python.framework/Versions/3.10',
      envType: 'Global',
      envName: '',
      architecture: 3,
      sysVersion: '3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-13<IP_ADDRESS>)]',
      version: [Object],
      displayName: 'Python 3.10.6 64-bit',
      detailedDisplayName: 'Python 3.10.6 64-bit',
      uri: [b]
    },
    id: '.jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher'
  }
}
warn 20:8:59.892: Kernel Error, context = start [s [Error]: Kernel Python 3.10.6 64-bit is not usable. Check the Jupyter output tab for more information.
	at k.waitForIdleOnSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1942413)
	at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
	at async k.createNewKernelSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2223208)
	at async k.connect (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2221926)
	at async u.startNew (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2230566)
	at async s (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2166861)
	at async _.createNotebookInstance (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2167024)
	at async _.createNotebook (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2168029)
	at async t.Kernel.createJupyterSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2246177)
	at async t.Kernel.start (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2241145)
	at async k.wrapKernelMethodImpl (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2492201)] {
  category: 'invalidkernel',
  kernelConnectionMetadata: {
    kind: 'startUsingPythonInterpreter',
    kernelSpec: {
      specFile: '/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/temp/jupyter/kernels/python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49/kernel.json',
      interpreterPath: '/usr/local/bin/python3',
      isRegisteredByVSC: 'registeredByNewVersionOfExt',
      name: 'python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49',
      argv: [Array],
      language: 'python',
      executable: 'python',
      display_name: 'Python 3.10.6 64-bit',
      metadata: [Object],
      env: {}
    },
    interpreter: {
      id: '/usr/local/bin/python3',
      sysPrefix: '/Library/Frameworks/Python.framework/Versions/3.10',
      envType: 'Global',
      envName: '',
      architecture: 3,
      sysVersion: '3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-13<IP_ADDRESS>)]',
      version: [Object],
      displayName: 'Python 3.10.6 64-bit',
      detailedDisplayName: 'Python 3.10.6 64-bit',
      uri: [b]
    },
    id: '.jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher'
  }
}
info 20:8:59.894: Process Execution: > /usr/local/bin/python3 -c "import ipykernel"
> /usr/local/bin/python3 -c "import ipykernel"
info 20:8:59.986: Dispose Kernel '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb' associated with '/Users/PabloBustos/Desktop/Spotify_Mood_Playlists/.ipynb_checkpoints/SpotifyMoodPlaylists-checkpoint.ipynb'
error 20:8:59.987: Error in execution [s [Error]: Kernel Python 3.10.6 64-bit is not usable. Check the Jupyter output tab for more information.
	at k.waitForIdleOnSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1942413)
	at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
	at async k.createNewKernelSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2223208)
	at async k.connect (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2221926)
	at async u.startNew (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2230566)
	at async s (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2166861)
	at async _.createNotebookInstance (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2167024)
	at async _.createNotebook (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2168029)
	at async t.Kernel.createJupyterSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2246177)
	at async t.Kernel.start (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2241145)
	at async k.wrapKernelMethodImpl (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2492201)] {
  category: 'invalidkernel',
  kernelConnectionMetadata: {
    kind: 'startUsingPythonInterpreter',
    kernelSpec: {
      specFile: '/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/temp/jupyter/kernels/python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49/kernel.json',
      interpreterPath: '/usr/local/bin/python3',
      isRegisteredByVSC: 'registeredByNewVersionOfExt',
      name: 'python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49',
      argv: [Array],
      language: 'python',
      executable: 'python',
      display_name: 'Python 3.10.6 64-bit',
      metadata: [Object],
      env: {}
    },
    interpreter: {
      id: '/usr/local/bin/python3',
      sysPrefix: '/Library/Frameworks/Python.framework/Versions/3.10',
      envType: 'Global',
      envName: '',
      architecture: 3,
      sysVersion: '3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-13<IP_ADDRESS>)]',
      version: [Object],
      displayName: 'Python 3.10.6 64-bit',
      detailedDisplayName: 'Python 3.10.6 64-bit',
      uri: [b]
    },
    id: '.jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher'
  }
}
error 20:8:59.988: Error in execution (get message for cell) [s [Error]: Kernel Python 3.10.6 64-bit is not usable. Check the Jupyter output tab for more information.
	at k.waitForIdleOnSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:1942413)
	at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
	at async k.createNewKernelSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2223208)
	at async k.connect (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2221926)
	at async u.startNew (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2230566)
	at async s (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2166861)
	at async _.createNotebookInstance (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2167024)
	at async _.createNotebook (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2168029)
	at async t.Kernel.createJupyterSession (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2246177)
	at async t.Kernel.start (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2241145)
	at async k.wrapKernelMethodImpl (/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/out/extension.node.js:2:2492201)] {
  category: 'invalidkernel',
  kernelConnectionMetadata: {
    kind: 'startUsingPythonInterpreter',
    kernelSpec: {
      specFile: '/Users/PabloBustos/.vscode/extensions/ms-toolsai.jupyter-2022.8.1002431955/temp/jupyter/kernels/python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49/kernel.json',
      interpreterPath: '/usr/local/bin/python3',
      isRegisteredByVSC: 'registeredByNewVersionOfExt',
      name: 'python3106jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49',
      argv: [Array],
      language: 'python',
      executable: 'python',
      display_name: 'Python 3.10.6 64-bit',
      metadata: [Object],
      env: {}
    },
    interpreter: {
      id: '/usr/local/bin/python3',
      sysPrefix: '/Library/Frameworks/Python.framework/Versions/3.10',
      envType: 'Global',
      envName: '',
      architecture: 3,
      sysVersion: '3.10.6 (v3.10.6:9c7b4bd164, Aug  1 2022, 17:13:48) [Clang 13.0.0 (clang-13<IP_ADDRESS>)]',
      version: [Object],
      displayName: 'Python 3.10.6 64-bit',
      detailedDisplayName: 'Python 3.10.6 64-bit',
      uri: [b]
    },
    id: '.jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher'
  }
}
[W 20:09:39.880 NotebookApp] Timeout waiting for kernel_info reply from d6c013ca-c3ff-468f-8866-84d49b91b25d
[E 20:09:39.883 NotebookApp] Error opening stream: HTTP 404: Not Found (Kernel does not exist: d6c013ca-c3ff-468f-8866-84d49b91b25d)

Coding Language and Runtime Version
Python v3.10.6
Language Extension Version (if applicable)
Python Extension Version: 2022.14.0.
Anaconda Version (if applicable)
No response
Running Jupyter locally or remotely?
N/A or Not sure

@pablobustose
I'm so sorry for missing this issue,
are you still running into this issue.

same action

@zdrj-me31
Please could you provide the logs and more information about the issue

Closing this issue as its been over 4 weeks, since the information was requested.
We'll be happy to reopen the issue when the requested information has been provided.


Feature: Added more methods for more granular control over what you can get in terms of temperature and sensor data temps and all sensor data

I am not sure if this is how you wanted me to do it, but I added two more methods that I've been using today, but they are a bit further away from your original project, so please feel free to ask me to strip that away, or do it yourself or whatever.

Also I also had to remove the
if os.path.join(os.path.abspath(__file__), os.path.exists("_version.py")):
    from WinTmp._version import __version__

as when I ran this locally it never worked and I couldn't be arsed to figure out why.

The _version.py file is only created when the package is built, as the version is declared by setuptools_scm, which in turn derives the version from vcs metadata.
Therefore, the WinTmp.__version__ will not be available in development, but it should be when the package is installed from PyPI.

I prefixed the two additional methods you added with an underscore for now.


Refactor

Changed zero-or-more representation
Flattened ORs
new collapse for edge-based graph
separated AND and MERGE (with placeholder for MERGE functions)
Andrei's balancing function for AND
new category format
bug fixes and UI updates

Does not include

MERGE operator
updated visitEdges
edge SBOL

Coverage increased (+1.7%) to 89.995% when pulling 280d5caf6b14677b8bb7b99b36c8216044eab4fb on refactor into 0ccf301be820ea19ab595dc79ca7e72e58d837a7 on master.


install failure on ubuntu 16.04

hi, when i tried to install ATLAS by install_srilm.sh, it prompted the following:
ERROR: enum fam=3, chip=2, model=62, mach=0
make[3]: *** [atlas_run] Error 44
make[2]: *** [IRunArchInfo_x86] Error 2
CPU Throttling apparently enabled!
It appears you have cpu throttling enabled, which makes timings
unreliable and an ATLAS install nonsensical.  Aborting.
See ATLAS/INSTALL.txt for further information
xconfig exited with 1
i have tried several ways to turn off cpu-throttling and not working. i wonder if it's ok to install ATLAS  via sudo apt-get install libatlas-dev ?

yes, it is

then why i  can't run the tedlium/v1/run_ctc_phn.sh sucessfully? the data prep and feat ext steps seem fine but the training failed without finishing the epoch 1 and just exiting,  it prompted the following:
LOG (apply-cmvn:main():apply-cmvn.cc:129) Applied cepstral mean and variance normalization to 2859 utterances, errors on 0
LOG (copy-feats:main():copy-feats.cc:100) Copied 2859 feature matrices.
TRAINING STARTS [2017-Jun-20 21:58:27]
[NOTE] TOKEN_ACCURACY refers to token accuracy, i.e., (1.0 - token_error_rate).
EPOCH 1 RUNNING ... Removing features tmpdir exp/train_phn_l5_c320/yZwIs @ 311Ubuntu
cv.ark	train.ark

there should be another log file in the exp/train_phn_l5_c320/log folder that tells you what is going on in iteration 1. what does it say?

it basically says "Memory allocation failure", still not knowing how to get it to work,
here are part of the log:
train-ctc-parallel --report-step=1000 --num-sequence=20 --frame-limit=25000 --learn-rate=0.00004 --momentum=0.9 --verbose=1 'ark,s,cs:copy-feats scp:exp/train_phn_l5_c320/train_local.scp ark:- | add-deltas ark:- ark:- |' 'ark:gunzip -c exp/train_phn_l5_c320/labels.tr.gz|' exp/train_phn_l5_c320/nnet/nnet.iter0 exp/train_phn_l5_c320/nnet/nnet.iter1
LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:262) Selecting from 1 GPUs
LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:277) cudaSetDevice(0): GeForce GTX TITAN Black	free:194M, used:5882M, total:6076M, free/total:0.0319767
LOG (train-ctc-parallel:SelectGpuIdAuto():cuda-device.cc:310) Selected device: 0 (automatically)
LOG (train-ctc-parallel:FinalizeActiveGpu():cuda-device.cc:194) The active GPU is [0]: GeForce GTX TITAN Black	free:177M, used:5899M, total:6076M, free/total:0.0291791 version 3.5
LOG (train-ctc-parallel:PrintMemoryUsage():cuda-device.cc:334) Memory used: 0 bytes.
LOG (train-ctc-parallel:DisableCaching():cuda-device.cc:731) Disabling caching of GPU memory.
copy-feats scp:exp/train_phn_l5_c320/train_local.scp ark:-
add-deltas ark:- ark:-
LOG (train-ctc-parallel:main():train-ctc-parallel.cc:121) TRAINING STARTED
WARNING (train-ctc-parallel:MallocInternal():cuda-device.cc:658) Allocation of 400 rows, each of size 2560 bytes failed,  releasing cached memory and retrying.
WARNING (train-ctc-parallel:MallocInternal():cuda-device.cc:665) Allocation failed for the second time.    Printing device memory usage and exiting
LOG (train-ctc-parallel:PrintMemoryUsage():cuda-device.cc:334) Memory used: 185073664 bytes.
ERROR (train-ctc-parallel:MallocInternal():cuda-device.cc:668) Memory allocation failure
WARNING (train-ctc-parallel:Close():kaldi-io.cc:446) Pipe copy-feats scp:exp/train_phn_l5_c320/train_local.scp ark:- | add-deltas ark:- ark:- | had nonzero return status 36096
ERROR (train-ctc-parallel:MallocInternal():cuda-device.cc:668) Memory allocation failure

try training a smaller model. less layers and less nodes per layer. also, try reducing the --frame-limit to 10000 or so. this will reduce the memory requirement of the training

i reduced the parameters you suggested and it worked. Thanks for your help. ^_^


Explore to convert extension Welcome pages to Getting Started

To further refine #118055, we need to convert some existing welcome pages (aka: anything that extensions pop up on a fresh install) to use the proposed getting started API. We expect that this migration can a) make start pages more contextual and timely, and b) provide organic discovery for extension content.
To start with, we are looking into extensions that have been coming up during usertesting:

[ ] Python (Start page)

[x] First conversations: Ongoing work on an updated Welcome page that.
[x] Shared UX template
[ ] Prototype the current Welcome content in Getting Started

[ ] Java (Getting started, Welcome, Extension guide)

[x] First prototype completed
[ ] Finalize content for a/b testing

[ ] C++ (no welcome page)

[x] Kick-off meeting
[ ] Draft content proposal

[ ] WSL (Welcome page on hold)

[ ] Draft content
[ ] Prototype with proposed API

[ ] Live Share

[ ] Prototype content
[ ] A/b experiment

[ ] 💪 Docker (Start page running as experiment right now)

[ ] Draft content
[ ] Prototype with proposed API

[x] 🛑 ~.NET (ongoing work)~

[x] Kick-off meeting

Related

https://github.com/microsoft/vscode/issues/119725
https://github.com/microsoft/vscode/issues/119709

Learnings

Opening files, build-in pages and projects without yanking users out of getting started

Commands and flows that open new tabs need to be opened side-by-side with getting started.
New projects currently open a new window. Could either open in current window (if empty) or with getting started restored.

Most extension Welcome pages offer focus on the multiple ways to get started: Open folder, Open file, New file, New file type x (from template), Create project (from wizard), etc

How do we expose in Getting Started, which follows a serial content pattern
Contribute those entry points in Welcome page and Explorer

Demo for the Java extension (pull request) as example:
https://user-images.githubusercontent.com/8599/113540150-55ac8480-9594-11eb-8ba9-7f3f10b2283a.mp4

@digitarald With our C/C++ extension we're seeing "when": "isWindows" giving results for the local machine when we need the remote machines. Should we file a VS Code bug or is there a different "when" clause we should be using.
    "walkthroughs": [
      {
...
        "steps": [
          {
            "when": "isMac",
...

cc @kimadeline

As most extensions shipped walkthroughs, breaking this down into smaller follow up items.


Please add SMNumberWheel under UI/Stepper

I have created a CocoaPod for the custom made UI (SMNumberWheel) and would like to have it in your list.
Project URL
https://github.com/SinaMoetakef/SMNumberWheel
Description
I added the link and description under UI/Stepper.
Why it should be included to awesome-ios (optional)
The UI component is written is swift 3.0 and supports iOS 9.0 and later. It also supports sounds and the new haptic feedback feature (iOS 10 for iPhone 7 and 7+). It is very smooth, highly customizable, renders in InterfaceBuilder, very accurate and very fast.
The sample project demonstrating the wheel is very well done.
Checklist

[x] Only one project/change is in this pull request
[x] Addition in chronological order (bottom of category)
[x] Supports iOS 9 or later
[x] Supports Swift 3
[x] Has a commit from less than 2 years ago
[x] Has a clear README in English

thx


Unable to create so file

I have got the build file in my tensorflow-master/tensorflow directory. Following is the build file contents
cc_binary(
    name = "libtensorflow.so",
    copts = tf_copts(),
    linkshared = 1,
    linkopts = [
        "-lpthread",
        "-lm",
    ],
    deps = [
        ":cc_ops",
        "//tensorflow/core:kernels",
        "//tensorflow/core:tensorflow",
    ],
)

Executing this build file, throws the following error
/Users/Johnny/Downloads/tensorflow-master/tensorflow/BUILD: line 1: syntax error near unexpected token `newline'
/Users/Johnny/Downloads/tensorflow-master/tensorflow/BUILD: line 1: `cc_binary('
logout

BUILD files are run with the bazel command, rather than bash.


question: how to get object of object?

https://github.com/near/assemblyscript-json/blob/main/docs/classes/json.obj.md
How can one get object of object, since there's no getObj method on the actual object?
Example:
let ob = {
agenda {
  contact: {
    name: "John"
  }
}
}

ob.getObj('agenda') // works
ob.getObj('agenda').getObj('contact') // doesn't work

Use @serial-as/json. I think assemblyscript-json, which @serial-as/json depends on is unmaintained now


HEAD: .Site.Menus.x empty if non-content added in front matter (sometimes?)

A recent commit has made it so that Hugo fails to recognize (some?) menus that are modified in front matter.
I made a sample Hugo site showing this behavior.  Running hugo server -w -v, I get the following error:
ERROR: 2014/12/30 Error while rendering homepage: reflect: call of reflect.Value.Type on zero Value

I wouldn't need to be able to add arbitrary stuff to front matter if it wasn't for another limitation of Hugo: if one menu has advanced options in the front matter, then all do.  For example, in this site, I wish I could just do:
menu:
  ugrad
  main:
    parent: programs

But that throws a critical mapping values are not allowed in this context error.
I can't pointpoint which commit introduced this bug because the Go build process mystifies me—even when I reset --hard the repository to the v0.12 tag and rebuild, hugo version still spits out v0.13-DEV.

@grumble what Go version do you use? (the output of "go version")

@grumble what Go version do you use? (the output of "go version")

@bjornerik go version go1.4 darwin/amd64, installed with Homebrew.

This is sort of tangential, but I just noticed that while
menu:
  whatever

works, this doesn't:
menu:
- whatever

Is that intended behavior?

@dunn - a lot of water as floated under the bridge since this was opened. A lot of bug fixes, some related to menus. I cannot reproduce this. Can you with the latest version?

Works fine on 0.13 too; thanks for checking!


Fix reading INFINITY_API_KEY from environment

Codecov Report
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Project coverage is 68.49%. Comparing base (70d2d7f) to head (624e128).

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| Flag | BASE (70d2d7f) | HEAD (624e128) |
|------|------|------|
||4|1|

Additional details and impacted files
@@            Coverage Diff             @@
##             main     #289      +/-   ##
==========================================
- Coverage   77.69%   68.49%   -9.20%
==========================================
  Files          35       35
  Lines        2511     2511
==========================================
- Hits         1951     1720     -231
- Misses        560      791     +231

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utf-8

(possibly stupid question)
Given the issue we came across the other day with journalism (#163), isn't it helpful to have utf-8 encoding noted at the top of all python files?
# -*- coding: utf-8 -*-

https://www.python.org/dev/peps/pep-0263/
I see this in tutorials but am not sure how external libraries like journalism respond to something stated in the python file about itself.

This covers all the letters in your code itself (e.g. defining a variable
like jalapeño = 'chile') and string definitions (e.g. you can write
chile = 'jalapeño' instead of chile = u'jalapeño'). It also covers user
input that your program might solicit. This is how Tarbell allows unicode
characters when asking the user what they'd like to name their project.
But there's two huge caveats:

External data sources (e.g. stuff that's coming from an API or a file)
retain their original encoding
Code paths that assume an encoding and try to encode/decode based on that
assumption. So if you call a library that assumes a string was not unicode
and needs to be encoded, you still run into errors.

Because of the nature of our work and the chaos of unicode in Python, we
run into both those caveats a lot and we still have to code around it.
Yech.
On Jul 7, 2015 10:37 PM, "Livia Labate"<EMAIL_ADDRESS>wrote:

(possibly stupid question)
Given the issue we came across the other day with journalism (#163
https://github.com/nprapps/graeae/issues/163), isn't it helpful to have
utf-8 encoding noted at the top of all python files?
-- coding: utf-8 --
https://www.python.org/dev/peps/pep-0263/
I see this in tutorials but am not sure how external libraries like
journalism respond to something stated in the python file about itself.
—
Reply to this email directly or view it on GitHub
https://github.com/nprapps/graeae/issues/170.

Thank you for explaining this!


Bottom modal wont "drag" while useNativeDriver is true

I had an issue with the bottom modal, when I was swiping down it was closing the modal as it should. However the animation of "dragging" was not working, I was able to resolve the issue after i removed useNativeDriver={true}
Before
 <Modal
          onBackdropPress={() => setModalVisible(false)}
          isVisible={isModalVisible}
          onSwipeComplete={() => setModalVisible(false)}
          swipeThreshold={500}
          useNativeDriver={true}
          swipeDirection={["down"]}
          style={styles.BottomUpModal}
        >
          <ModalContent/>
 </Modal>

After
 <Modal
          onBackdropPress={() => setModalVisible(false)}
          isVisible={isModalVisible}
          onSwipeComplete={() => setModalVisible(false)}
          swipeThreshold={500}
          swipeDirection={["down"]}
          style={styles.BottomUpModal}
        >
          <ModalContent/>
 </Modal>

Same here

+1

any update about this issue? estimate time to resolve it?

same

Same!


feat: Investment Calculator

Please describe the changes this PR makes and why it should be merged:
Added Investment Calculator
Closes: #765
Status

[ ] Code changes have been tested against prettier, or there are no code changes
[ ] I know how to update typings and have done so, or typings don't need updating

Semantic versioning classification:

[ ] This PR changes the codebase

[ ] This PR includes breaking changes (methods removed or renamed, parameters moved or removed)
[ ] This PR changes the internal workings with no modifications to the external API (bug fixes, performance improvements)

[ ] This PR only includes non-code changes, like changes to documentation, README, etc.

 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.You have signed the CLA already but the status is still pending? Let us recheck it.

Pull Request Test Coverage Report for Build<PHONE_NUMBER>

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 25.706%

Totals

Change from base Build<PHONE_NUMBER>:
0.0%

Covered Lines:
1257

Relevant Lines:
5082

💛  - Coveralls


Allow custom nuclei-templates installation location/Fix custom installations breaking tool checks.

Is your feature request related to a problem? Please describe.
No. In the configuration file, the NUCLEI_FLAG configuration allows the changing of nuclei-template's location, but the actual installation location will always be in $HOME/nuclei-templates.

Describe the solution you'd like
Allow for the install.sh to install the nuclei-templates into a directory specified from configuration file to match the changes in configuration flag.
Describe alternatives you've considered
Manually editing it myself.
Additional context
I don't want nuclei-templates to be in my home directory.
In addition to this, I've also noticed that a couple of the Configurations don't actually transfer over to the main script while it's checking for tool installations.
For example, if I configure any of the list configurations in the configuration file, while checking for installed tools, Reconftw will not check the custom-installation path.

This also applies to nuclei-templates.

Fixed with https://github.com/six2dez/reconftw/commit/eb6117db9963c1504221c3eaaa49026e8f8d2459

Thanks alot for the fix!


Added intro video

Codecov Report

Merging #68 (76b6414) into main (c33e5e5) will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##             main      #68   +/-   ##
=======================================
  Coverage   82.71%   82.71%
=======================================
  Files           8        8
  Lines         428      428
=======================================
  Hits          354      354
  Misses         74       74

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Fix dev container CLI install path and shared services install jq command

Resolves #2724
What is being addressed

Makes the CLI install path relative in the dev container
Deploy shared services script not concerned about deployment status
[ ] Update CHANGELOG.md if needed

/test

/test-force-approve succeeded above.


Taskbar icon barely visible on Linux and pixelized on alt-tab

^ as you can see, the all black icon on the left is barely visible on Linux with a dark bar. Any way to keep the white circle for linux (as the task bar could be light or drark) ?

^ The icon when changing application with alt+tab is pixelized.

@Tbaut I actually only added that black icon because Linux uses a 16x16 icon for both (as you can see the Riot icon is also pixelated), and our Fether icon with the white circle background wasn't showing any of the Fether icon details. I'll just replace the 16x16 black icon with the 16x16 Fether icon the way it was before.

I also used that icon for macOS as a "template image" so it would work with different themes dark/light (see https://stackoverflow.com/a/41998326/3208553) but it's not supported on Windows/Linux

I'm looking into it again now


Automatically cancel any pending request for Google Places Autocomplete service

The common scenario when implementing an autocomplete service would require a cancellation of any pending request before making a new one. Doing so will eliminate some unexpected behaviors plus decreasing server overloading.
I've added this as a configurable parameter to the request function (with a default value of true), which simply uses the Alamofire Request's cancel() method.

Thanks, I've merged

Awesome. Thanks man! 😁


Contributing to project

Hey folks,
I'd like to start contributing to the project, so I was going to start by working on documentation. I was reading the Contributing guide and using the Label component as an example.
I was curious, the Label has its doc block for props in the Label.propTypes format where-as (something like) the Table component does props inside of the component itself (and doesn't have doc block from what I could tell)
I was just wondering if the correct place for doc blocks in the Table example was in the static propTypes object or if there is a better place.
Thanks for all the hard work on this project!

Hey thanks for the question. Yes, prop docs are generated from doc blocks on propTypes. It doesn't matter if propTypes are defined in a class, or on a function. Just as long as the prop has a doc block.
Stateless functional components will have the static property added after the function declaration whereas a class definition can include a static property within the class body itself. These are just javascript syntax differences. You'll see both in use in Stardust depending on the component.
I'm on vacation this week so I may not respond as quick as usual. There is some more information on docs at the bottom of the contributing guide. You can also ping @davezuko and he can likely help you,  too.
Cheers, see you next week!


[Feature]Sql task #{}、${} of the SQL statement like mybatis?

Sql task support for parameter substitution rules like mybatis。
create table xxxx_${date} as select * from xxxx

to support this parameter requires direct splicing.

you can see dev-db branch, we use mybatis-plus as ORM frame in the new version！

Good job！

done


Edited the MouseListener introductory documentation.

I reviewed the MouseListener introduction and provided some rewording and formatting suggestions.
If any of my edits take away from your original meaning, please let me know. 😄
Also, I renamed my branch, which is why the previous pull request closed.

@Empiree, I didn't realize i deleted the light bulb part of the note. I think that is a great thing to include for callouts, as it draws the reader's attention.

Merged @jaketanis . Thank you for your contribution! I'll fix the light bulb in the next commit. You can also do a review of the whole documentation, I think you can improve it perfectly! :)

Ideally, the KeyboardListener and MouseListener documentation should be similar to each other, since they are engaged in the same task.

Merged @jaketanis . Thank you for your contribution! I'll fix the light bulb in the next commit. You can also do a review of the whole documentation, I think you can improve it perfectly! :)

Sounds great! Thanks!


Remove remaining appengine interfaces

blocked by #753

I think we can ignore the code coverage on this, but this PR is ready to go.


Chart sizing and resizing issues

On the current demo pages:
When first displaying a chart, the chart starts out at the size prescribed and then slowly resizes to a smaller area.
I am on a High DPI monitor using chrome (126.0.6478.127) with zoom set to 67%. I navigate to:
https://demos.blazorbootstrap.com/charts
and the demo chart displays the above behaviour.
Somewhat worse than that is the behaviour of the chart when zooming with the mouse wheel.
With the chart at 100%, use the ctrl key and mouse wheel to zoom the chart to below 70% and it will start to flicker rapidly. It can take a few seconds or more to settle. It seems (but I haven't done extensive testing) that the lower the zoom, the longer it takes to settle.
If required, I can try and capture a video of the behaviour, but it is quite easy to reproduce (for me)

Just wondering if there is any update on this issue? I'm getting pressure to move to a different chart solution because of this issue and I'd rather not...


wrong information

Several IFSC of few banks like Vijaya Bank are erroneous. It seems they have been jumbled up.

Please provide the exact IFSC and the incorrect details.

For example
This IFSC code belongs to Dibrugarh in Assam but in your data is shows of Ganeshguri. The IFSC of Ganeshhguri Branch in Guwahati point to the the branch of Ambala Cantt in Haryana. The correct IFSC code can be obtained from the RBI database or a simple search. I found this specific error case when it came up in my application. There may be other ones too. Please check.
Data Snippets from your repo:
"VIJB0008002": {
"IFSC": "VIJB0008002",
"BRANCH": "GANESHGURI",
"CENTRE": "GUWAHATI",
"DISTRICT": "KAMRUP METROPOLITAN",
"STATE": "ASSAM",
"ADDRESS": "1ST FLOOR DHRUBA MARKET, GANESHGURI CHARIALI G S ROAD,GUWAHATI,DIST-KAMRUP(METRO)",
"CONTACT": "00",
"BANK": "VIJAYA BANK",
"UPI": true,
"RTGS": true,
"NEFT": false,
"IMPS": true,
"MICR": null
},
and
"VIJB0008019": {
"IFSC": "VIJB0008019",
"BRANCH": "AMBALA CANTT,HARYANA",
"CENTRE": "AMBALA",
"DISTRICT": "AMBALA",
"STATE": "HARYANA",
"ADDRESS": "4261-63,CROSS NO 2, NICHOLSON ROAD, BEHIND B D SCHOOL, AMBALA CANTT,HARYANA, 133001",
"CONTACT": null,
"BANK": "VIJAYA BANK",
"UPI": true,
"RTGS": true,
"NEFT": false,
"IMPS": true,
"MICR": null
},

This is already corrected in upcoming release, because RBI's website fixed it. GANESHGURI is what was present in the last release on the RBI website.


[Feature]: Make outlines dependency optional

🚀 The feature, motivation and pitch
I'm using a newer version of outlines than v0.0.34, and my application needs the fixes implemented in newer versions of that package. It would be great if vllm could make its structured generation dependencies optional, as I'm not using the internal vllm structured generation, but rather using the logits processors from outlines directly.
Alternatives
No response
Additional context
This prevents me from updating to vllm==0.4.0.

Alternatively we can relax the outlines version to not to pin it or set it >=v0.0.34. That will be an even easier fix at the moment :D.
Once we have multiple guided decoding backends I think the packages can be optional.

Alternatively we can relax the outlines version to not to pin it or set it >=v0.0.34. That will be an even easier fix at the moment :D.

That could work! However, note that some of the important from outlines (RegexFSM for instance) is currently deprecated and will be removed in June, causing ImportErrors in vLLM if nothing changes. But it would at least work until then :)

The update ticket: #outlines

@simon-mo An upper bound on outlines was re-introduced in https://github.com/vllm-project/vllm/pull/6262, and I am relying on newer outlines versions. Since I don't use the vllm-outlines integration at all (I just use the logits processors from outlines), I'd raise my initial question again: Can we please make the outlines dependency of vLLM optional?

We will support the latest versions of outlines with this PR https://github.com/vllm-project/vllm/pull/10576


Various interpolation and composition enhancements

Ensure mix is actually using Lab as default
Interpolate now can take multiple colors and will interpolate across
all of them.
Steps now can take multiple colors and will interpolate across all of
them.
Provide a new function called average which averages the multiple
colors and returned a single color representing a mix of all of them.
Can also provide weights for the various colors.
Compose can now take multiple colors and will compose each layer upon the next.

@gir-bot lgtm

So I was thinking I could just weight the colors and send them through the interpolator and to get the average, but it appears that won't work in certain spaces on certain edge cases. I need to put some more thought into average or pull it out for now.

Removed averaging. The concept is simple, and we could add it back in the future, but the way I was currently adding it just wasn't working. I was trying to run it all through interpolation using an algorithm that adjusts the percentage appropriately. And while it worked for many cases, it broke for some edge cases. And when fixing those, it broke in other ways.
Ultimately, we'll have to just average the channels manually (I know, I know, that should have been obvious as its name is average 🙃 ). We'll see, maybe will refactor it and add it back.

@gir-bot lgtm


docs(config.yaml): fix wrong severity levels for sinsp logger

What type of PR is this?
/kind bug
/kind documentation
Any specific area of the project related to this PR?
What this PR does / why we need it:
This PR  fixes wrong severity levels for sinsp logger in falco.yaml
Which issue(s) this PR fixes:
Special notes for your reviewer:
Does this PR introduce a user-facing change?:
docs(config.yaml): fix wrong severity levels for sinsp logger

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LGTM label has been added.  Git tree hash: 206445f4e4c9c38a1f70796cab6ca52c5979f438

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