How can I create a repository automatically when defining the Trainer?

Describe the bug
I'm trying to fine-tune XLM-RoBERTa model on a German corpus for NER task. To handle the training loop I'm using the 🤗 Transformers Trainer, so first I need to define the training attributes using the TrainingArguments class:
from transformers import TrainingArguments

# Set the number of epochs, batch size, and logging steps
num_epochs = 3
batch_size = 24
logging_steps = len(panx_de_encoded["train"]) // batch_size

# Define the model name
model_name = f"{xlmr_model_name}-finetuned-panx-de"

# Define the training arguments for the model
training_args = TrainingArguments(
    output_dir=model_name,                   # Directory to save model checkpoints and outputs
    log_level="error",                       # Logging level
    num_train_epochs=num_epochs,             # Number of training epochs
    per_device_train_batch_size=batch_size,  # Batch size per device for training
    per_device_eval_batch_size=batch_size,   # Batch size per device for evaluation
    evaluation_strategy="epoch",             # Evaluate model's prediction on the validation set at the end of each epoch
    save_steps=1e6,                          # Save checkpoint every 1000000 steps (i.e., disable checkpointing to speed up training)
    weight_decay=0.01,                       # Weight decay for optimizer
    disable_tqdm=False,                      # Whether to show progress bar during training
    logging_steps=logging_steps,             # Determines the number of steps between each logging message
    push_to_hub=True                         # Whether to push the model to the Hugging Face model hub
)

Next, I log in to the hugging face hub with Write role and define the Trainer as follows:

from transformers import Trainer

trainer = Trainer(model_init=model_init,       # A function that instantiates the model to be used
                  args=training_args,          # Arguments to tweak for training
                  data_collator=data_collator,
                  compute_metrics=compute_metrics,
                  train_dataset=panx_de_encoded["train"],
                  eval_dataset=panx_de_encoded["validation"],
                  tokenizer=xlmr_tokenizer)

Unfortunately, I have the following error:
Cloning https://huggingface.co/ahmad1289/xlm-roberta-base-finetuned-panx-de into local empty directory.
---------------------------------------------------------------------------
CalledProcessError                        Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/huggingface_hub/repository.py in clone_from(self, repo_url, token)
    691                         self.local_dir,
--> 692                         env=env,
    693                     )

/opt/conda/lib/python3.7/site-packages/huggingface_hub/utils/_subprocess.py in run_subprocess(command, folder, check, **kwargs)
     68         cwd=folder or os.getcwd(),
---> 69         **kwargs,
     70     )

/opt/conda/lib/python3.7/subprocess.py in run(input, capture_output, timeout, check, *popenargs, **kwargs)
    511             raise CalledProcessError(retcode, process.args,
--> 512                                      output=stdout, stderr=stderr)
    513     return CompletedProcess(process.args, retcode, stdout, stderr)

CalledProcessError: Command '['git', 'lfs', 'clone'<EMAIL_ADDRESS>'.']' returned non-zero exit status 2.

During handling of the above exception, another exception occurred:

OSError                                   Traceback (most recent call last)
/tmp/ipykernel_23/987298996.py in <module>
      8                   train_dataset=panx_de_encoded["train"],
      9                   eval_dataset=panx_de_encoded["validation"],
---> 10                   tokenizer=xlmr_tokenizer)

/opt/conda/lib/python3.7/site-packages/transformers/trainer.py in __init__(self, model, args, data_collator, train_dataset, eval_dataset, tokenizer, model_init, compute_metrics, callbacks, optimizers)
    401         # Create clone of distant repo and output directory if needed
    402         if self.args.push_to_hub:
--> 403             self.init_git_repo()
    404             # In case of pull, we need to make sure every process has the latest.
    405             if is_torch_tpu_available():

/opt/conda/lib/python3.7/site-packages/transformers/trainer.py in init_git_repo(self)
   2551                 self.args.output_dir,
   2552                 clone_from=repo_name,
-> 2553                 use_auth_token=use_auth_token,
   2554             )
   2555         except EnvironmentError:

/opt/conda/lib/python3.7/site-packages/huggingface_hub/utils/_validators.py in _inner_fn(*args, **kwargs)
    122             )
    123
--> 124         return fn(*args, **kwargs)
    125
    126     return _inner_fn  # type: ignore

/opt/conda/lib/python3.7/site-packages/huggingface_hub/repository.py in __init__(self, local_dir, clone_from, repo_type, token, git_user, git_email, revision, skip_lfs_files, client)
    516
    517         if clone_from is not None:
--> 518             self.clone_from(repo_url=clone_from)
    519         else:
    520             if is_git_repo(self.local_dir):

/opt/conda/lib/python3.7/site-packages/huggingface_hub/utils/_validators.py in _inner_fn(*args, **kwargs)
    122             )
    123
--> 124         return fn(*args, **kwargs)
    125
    126     return _inner_fn  # type: ignore

/opt/conda/lib/python3.7/site-packages/huggingface_hub/repository.py in clone_from(self, repo_url, token)
    731
    732         except subprocess.CalledProcessError as exc:
--> 733             raise EnvironmentError(exc.stderr)
    734
    735     def git_config_username_and_email(

OSError: WARNING: 'git lfs clone' is deprecated and will not be updated
          with new flags from 'git clone'

'git clone' has been updated in upstream Git to have comparable
speeds to 'git lfs clone'.
Cloning into '.'...
remote: Repository not found
fatal: repository 'https://huggingface.co/ahmad1289/xlm-roberta-base-finetuned-panx-de/' not found
Error(s) during clone:
git clone failed: exit status 128

It appears that the model repository with the name xlm-roberta-base-finetuned-panx-de does not currently exist. However, as described in the Hugging Face course, the push_to_hub() function (which should be used later in the notebook) handles both the creation of the repository and the push of the model and tokenizer files to that repository.
Is there anything else that I might be missing?

Full notebook

System info
- huggingface_hub version: 0.12.1
- Platform: Linux-5.15.89+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Running in iPython ?: Yes
- iPython shell: ZMQInteractiveShell
- Running in notebook ?: Yes
- Running in Google Colab ?: No
- Token path ?: /root/.cache/huggingface/token
- Has saved token ?: False
- Configured git credential helpers:
- FastAI: 2.7.11
- Tensorflow: 2.11.0
- Torch: 1.13.0
- Jinja2: 3.1.2
- Graphviz: 0.8.4
- Pydot: 1.4.2
- Pillow: 9.3.0
- hf_transfer: N/A
- ENDPOINT: https://huggingface.co
- HUGGINGFACE_HUB_CACHE: /root/.cache/huggingface/hub
- HUGGINGFACE_ASSETS_CACHE: /root/.cache/huggingface/assets
- HF_HUB_OFFLINE: False
- HF_TOKEN_PATH: /root/.cache/huggingface/token
- HF_HUB_DISABLE_PROGRESS_BARS: None
- HF_HUB_DISABLE_SYMLINKS_WARNING: False
- HF_HUB_DISABLE_IMPLICIT_TOKEN: False
- HF_HUB_ENABLE_HF_TRANSFER: False

{'huggingface_hub version': '0.12.1',
 'Platform': 'Linux-5.15.89+-x86_64-with-debian-bullseye-sid',
 'Python version': '3.7.12',
 'Running in iPython ?': 'Yes',
 'iPython shell': 'ZMQInteractiveShell',
 'Running in notebook ?': 'Yes',
 'Running in Google Colab ?': 'No',
 'Token path ?': PosixPath('/root/.cache/huggingface/token'),
 'Has saved token ?': False,
 'Configured git credential helpers': '',
 'FastAI': '2.7.11',
 'Tensorflow': '2.11.0',
 'Torch': '1.13.0',
 'Jinja2': '3.1.2',
 'Graphviz': '0.8.4',
 'Pydot': '1.4.2',
 'Pillow': '9.3.0',
 'hf_transfer': 'N/A',
 'ENDPOINT': 'https://huggingface.co',
 'HUGGINGFACE_HUB_CACHE': '/root/.cache/huggingface/hub',
 'HUGGINGFACE_ASSETS_CACHE': '/root/.cache/huggingface/assets',
 'HF_HUB_OFFLINE': False,
 'HF_TOKEN_PATH': '/root/.cache/huggingface/token',
 'HF_HUB_DISABLE_PROGRESS_BARS': None,
 'HF_HUB_DISABLE_SYMLINKS_WARNING': False,
 'HF_HUB_DISABLE_IMPLICIT_TOKEN': False,
 'HF_HUB_ENABLE_HF_TRANSFER': False}

Hi @ahmad-alismail , thanks for reporting this. If you don't mind I'll transfer this issue to the transformers repo and rename it. A breaking change has being introduced in huggingface_hub==0.12.0. Since then, Repository do not handle the repo creation if not existing on the Hub.
It seems that the Trainer push_to_hub method do not handle the repo creation before calling Repository which now fails. This has to be fixed here. In the meantime, you need to manually create the repo before using Trainer.push_to_hub or downgrade to huggingface_hub==0.11.1.
@sgugger @ydshieh I'll open a PR today to fix this.

@ahmad-alismail which version of transformers do you have?

Yeah, looks the number line of the error in the PR description has a difference of > 1000. Better to know which transformers version is used here.


implemented getLastCommitRef, getCommit, getTree, getBlobText, getBlobTextByFilePaht, createCommit, updateRefHead

I had to create a github fake account for the "create*" test. I implemented what I needed for my project (basically the ability to update a file, commit and push)

@woloski I just updated a ton of the codebase. Would you mind
$ git pull origin master

Then merge => pull request? Otherwise I can do it just give me some time. Let me know, and great work!

Done. Also if you don't mind I fixed all jslint warnings :)

Manual Merge, great stuff! What are you using as your Linter? /info!


[SPARK-4912][SQL] Persistent tables for the Spark SQL data sources api

With changes in this PR, users can persist metadata of tables created based on the data source API in metastore through DDLs.

Test build #25277 has started for   PR 3960 at commit 49bf1ac.

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Test build #25277 has finished for   PR 3960 at commit 49bf1ac.

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This patch merges cleanly.
This patch adds the following public classes (experimental):
class DefaultSource extends SchemaRelationProvider
case class ParquetRelation2(
trait SchemaRelationProvider
 case class TableIdent(database: String, name: String)
case class CreateMetastoreDataSource(

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Test build #25282 has started for   PR 3960 at commit 172db80.

This patch merges cleanly.

Test build #25282 has finished for   PR 3960 at commit 172db80.

This patch passes all tests.
This patch merges cleanly.
This patch adds the following public classes (experimental):
class DefaultSource extends SchemaRelationProvider
case class ParquetRelation2(
trait SchemaRelationProvider
 case class TableIdent(database: String, name: String)
case class CreateMetastoreDataSource(

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Test build #25372 has finished for   PR 3960 at commit feb88aa.

This patch fails to build.
This patch merges cleanly.
This patch adds the following public classes (experimental):
class DefaultSource extends SchemaRelationProvider
case class ParquetRelation2(
 case class TableIdent(database: String, name: String)
case class CreateMetastoreDataSource(

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Test build #25387 has started for   PR 3960 at commit 7fc4b56.

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Test build #25387 has finished for   PR 3960 at commit 7fc4b56.

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case class CreateMetastoreDataSource(

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 case class QualifiedTableName(database: String, name: String)
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Jenkins, retest this please.

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Test build #25456 has finished for   PR 3960 at commit c07cbc6.

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LGTM once tests pass.

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Remove interceptor at the end of test testAddInterceptor

Removed interceptor at the end of test testAddInterceptor.
Decreased the lock scope when cancelling the thread at linux.
Related to issue #300

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Test FAILed.

verify

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verify

Test FAILed.

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adding pd tail logo

Alaska Airlines Pull Request
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
Fixes: #220
Summary:
Please summarize the scope of the changes you have submitted, what the intent of the work is and anything that describes the before/after state of the project.
Type of change:

[ ] New capability
[ ] Revision of an existing capability
[ ] Infrastructure change (automation, etc.)
[ ] Other (please elaborate)

Checklist:

[ ] My update follows the CONTRIBUTING guidelines of this project
[ ] I have performed a self-review of my own update

By submitting this Pull Request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
Pull Requests will be evaluated by their quality of update and whether it is consistent with the goals and values of this project. Any submission is to be considered a conversation between the submitter and the maintainers of this project and may require changes to your submission.
Thank you for your submission!
-- Auro Design System Team

:tada: This PR is included in version 4.30.0 :tada:
The release is available on:

npm package (@latest dist-tag)
GitHub release

Your semantic-release bot :package::rocket:


Not able to specify the chat context

Describe the bug
We are not able to specify the chat context
Additional context
The context should be added to be able to use the same chat

Hi! First-time contributor here, please be understanding 😅
Apparently right now the OpenAI API doesn't support the chat historical context, see this discussion for further details.
The simplest way is to always include the whole conversation history - or a summary of it - in each new request (even ChatGPT responded this way😆 ), but I guess it's unsustainable as token consumption would skyrocket.
We'll probably have to wait for the API to offer session management to replicate the experience in chat.openai.com.


Add rubocop rules

I suspect this was written with a specific .rubocop.yml, but it isn't in the public version. I only noticed this when I had a rubocop start up with the default and complain a ton 😅

Sure! Maybe we can snag the one from package protections as a model?


Bash variable substitution using VS Code variable lead to no substitution

VS Code Version: Version: 1.53.2
OS Version: Ubuntu LTS 20.04

This task does nothing but I did not understand why bash variable substitution using VisualStudio Code variable was not working.
Steps to Reproduce:

Create simple task with as command in task.json (unquoted or quoted):
Unquoted: "command":  "shopt -s globstar; for prjfile in ${workspaceFolder}/**/*; do echo ${workspaceFolder}; echo ${prjfile//${workspaceFolder}/.}; done"
Quoted "command":  "shopt -s globstar; for prjfile in \"${workspaceFolder}\"/**/*; do echo \"${workspaceFolder}\"; echo \"${prjfile//\"${workspaceFolder}\"/.}\"; done"
Execute task
Variable substitution ${prjfile//${workspaceFolder}/.} is not made when you call ${workspaceFolder} directly in the substitution or using a VisualStudio Code variables as ${workspaceRoot} too.

Launching task but no substitution:
> Executing task: shopt -s globstar; prjFolder=/myfolder/project-test; for prjfile in /myfolder/project-test/**/*; do echo /myfolder/project-test; echo ${prjfile//${workspaceFolder}/.}; done <
Testing directly with bash -c "shopt -s globstar; workspaceFolder="myfolder"; for prjfile in \"\${workspaceFolder}\"/**/*; do echo \"\${workspaceFolder}\"; echo \"\${prjfile//\"\${workspaceFolder}\"/.}\"; done" is working
Working:
Use of ${workspaceFolder} for the for loop and echoing it's value and using another variable for substitution.
Unquoted :
"shopt -s globstar; prjFolder=${workspaceFolder}; for prjfile in ${workspaceFolder}/**/*; do echo ${workspaceFolder}; echo ${prjfile//${prjFolder}/.}; done"
Quoted
"shopt -s globstar; prjFolder=\"${workspaceFolder}\"; for prjfile in \"${workspaceFolder}\"/**/*; do echo \"${workspaceFolder}\"; echo \"${prjfile//\"${prjFolder}\"/.}\"; done"
Launching task and substitution is done:
> Executing task: shopt -s globstar; prjFolder=/myfolder/project-test; for prjfile in /myfolder/project-test/**/*; do echo /myfolder/project-test; echo ${prjfile//${prjFolder}/.}; done <
Working:
Set the content of ${workspaceFolder} to prjFolder and then use only this variable
for all other steps.
Unquoted :
"shopt -s globstar; prjFolder=${workspaceFolder}; for prjfile in ${prjFolder}/**/*; do echo ${workspaceFolder}; echo ${prjfile//${prjFolder}/.}; done"
Quoted :
"shopt -s globstar; prjFolder=\"${workspaceFolder}\"; for prjfile in \"${prjFolder}\"/**/*; do echo \"${workspaceFolder}\"; echo \"${prjfile//\"${prjFolder}\"/.}\"; done"
Launching task and substitution is done:
> Executing task: shopt -s globstar; prjFolder=/myfolder/project-test; for prjfile in /myfolder/project-test/**/*; do echo /myfolder/project-test; echo ${prjfile//${prjFolder}/.}; done <

Does this issue occur when all extensions are disabled?: Yes

Regards,

A very simple example that illustrates the issue:
		{
			"label": "My Task",
			"type": "shell",
			"command": "echo \"${test/${workspaceFolder}}\"",
			"problemMatcher": []
		}

This is intended: https://github.com/microsoft/vscode/issues/77289
Anything that looks like an attempt to next variables is not allowed.


Tibialyzer didnt Start Windows 7 Professional

Hey there,
I am trying to open Tibialyzer in another computer with Windows 7 and isnt opening. Dont give any menssage, just try to open and nothing happens. I already try to put in a not permission needed paste, and execute with admin permission, but doesnt work.

Did you install the .NET framework, as described in the “Installation Instructions” section?

On 15 Jul 2016, at 16:44, Slowmotion21<EMAIL_ADDRESS>wrote:
Hey there,
I am trying to open Tibialyzer in another computer with Windows 7 and isnt opening. Dont give any menssage, just try to open and nothing happens. I already try to put in a not permission needed paste, and execute with admin permission, but doesnt work.
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub https://github.com/Mytherin/Tibialyzer/issues/138, or mute the thread https://github.com/notifications/unsubscribe-auth/ADy05RA1KPwO5kC32tjXW_JTFHy8uyi9ks5qV5zIgaJpZM4JNd8_.

I'll Check this, just missed that part, sorry.


The argument type 'File/1/' can't be assigned to the parameter type 'File/2/'.

Latest version of universal_io
$ flutter run -d chrome
Launching lib/main.dart on Chrome in debug mode...
lib/myapp/pages/profile/profile_image_edit_page.dart:148:76: Error: The argument type 'File/*1*/' can't be assigned to the parameter type 'File/*2*/'.
 - 'File/*1*/' is from 'package:universal_io/src/io/file.dart'
 ('/usr/local/Caskroom/flutter/1.22.6/flutter/.pub-cache/hosted/pub.dartlang.org/universal_io-2.0.0/lib/src/io/file.dart').
 - 'File/*2*/' is from 'dart:io'.
                    var storageUploadTask = await storageReference.putFile(profileImage);
                                                                           ^
lib/myapp/pages/profile/profile_image_edit_page.dart:215:57: Error: The argument type 'File/*1*/' can't be assigned to the parameter type 'File/*2*/'.
 - 'File/*1*/' is from 'package:universal_io/src/io/file.dart'
 ('/usr/local/Caskroom/flutter/1.22.6/flutter/.pub-cache/hosted/pub.dartlang.org/universal_io-2.0.0/lib/src/io/file.dart').
 - 'File/*2*/' is from 'dart:io'.
                          child: Image(image: FileImage(profileImage), fit: BoxFit.fitHeight),

I am having the same issue with the latest version of flutter web!

Thanks for the issue report! This is fixed in 2.0.2.

Joining the crowd here.  Anyone with workarounds?

Any solution? I'm getting the same error

Issue still exists.
package version universal_io: ^2.0.4
Flutter version [√] Flutter (Channel stable, 2.10.2, on Microsoft Windows [Version 10.0.19044.1645], locale en-IN)
Launching lib\main.dart on Chrome in debug mode...
Waiting for connection from debug service on Chrome...
lib/layout/sidebar.dart:47:36: Error: The argument type 'File/1/' can't be assigned to the parameter type 'File/2/'.

'File/1/' is from 'package:universal_io/src/io/file.dart' ('../../../flutter2.10/.pub-cache/hosted/pub.dartlang.org/universal_io-2.0.4/lib/src/io/file.dart').
'File/2/' is from 'dart:io'.
encoder.addFile(File.fromRawPath(Uint8List.fromList('Hello'.codeUnits)));
^
Failed to compile application.

Same issue here. It conflicts with local_auth package.
Error: The argument type 'File/1/' can't be assigned to the parameter type 'File/2/'.

'File/1/' is from 'package:universal_io/src/io/file.dart'

: Error: The argument type 'File/1/' can't be assigned to the parameter type 'File/2/'.
lib/…/widgets/image.dart:136

'File/1/' is from 'dart:io'.
'File/2/' is from 'package:extended_image_library/src/_platform_web.dart' ('/C:/Users/H3C/AppData/Local/Pub/Cache/hosted/pub.flutter-io.cn/extended_image_library-3.2.0/lib/src/_platform_web.dart').
package:extended_image_library/src/_platform_web.dart:1
File(url),
^

Failed to compile application.


Github repository for Webapi and Pipeline

I am trying to get Ambar running on OSX.
It works so far, however the pipeline seems to be not able to connect to the Rabbit server. Thus, no documents are being processed and nothing is added to the search index.
I am trying to understand what's going on behind the scenes in order to find a solution for this problem. Unfortunately, the code for the Webapi and Pipeline docker images are not public.
Do you plan to release these soon?

We're working on it, separating CE and EE editions code is a quite tricky thing to do.
Could you post your docker-compose.yml here? Maybe I'll be able to solve your issue.

Thanks for the quick reply! Finally, I found that setting the host to <IP_ADDRESS> doesn't work in the docker environment. Using the IP from my wifi interface solves the problem and everything is running so far.

Without reviewing Webapi and Pipeline docker images as IT security requirement, it is impossible to adapt EE edition. I hope two missing docker images become open-sourced.

@andychoi hello, we can give you direct accesss to a source code for reviewing after purchasing EE


Dnn 5635: add DotNetNuke.Log4Net assembly source to solution

Decompiled the 7.3.1 version of DotNetNuke.Log4Net.dll, added XML documention for a number of important files, inserted the project into ~\DNN Platform\Components\Log4Net\Source*.*.
Please note that this still has to be inserted into the complete build.

I had to rebuild since Ernst Peter's repo branch was deleted.  The source was rebased and merged into 7.4.1.  This is now effectively identical to Log4net 1.2.11 (aka 2.0.0) which I have identified as DotNetNuke.Log4net 3.0.1


Enable image distribution on IPFS

https://github.com/containerd/nerdctl/issues/465
This commit enables image distribution on IPFS when ipfs:// prefix is specified before the image name.
(ipfs daemon needs running)
push: pushes the specified image to IPFS
The following example pushes ubuntu:20.04 (pulled from DockerHub with nerdctl pull ubuntu:20.04 in advance) to IPFS
# nerdctl push ipfs://ubuntu:20.04
INFO[0000] pushing image "ubuntu:20.04" to IPFS
INFO[0000] ensuring image contents
INFO[0005] converted "application/vnd.docker.image.rootfs.diff.tar.gzip" to sha256:3645595d053b17b1910effafdcc6d924ff0f915b25ce81a07f76a7b0bb22c964
bafkreigrkfhzm5bt5xbb7tvrnwzrkvulgipwupc4w24kwudysexmwzyske

pull: pulls the specified image from IFPS
# nerdctl pull ipfs://bafkreigrkfhzm5bt5xbb7tvrnwzrkvulgipwupc4w24kwudysexmwzyske
bafkreigrkfhzm5bt5xbb7tvrnwzrkvulgipwupc4w24kwudysexmwzyske:                      resolved       |++++++++++++++++++++++++++++++++++++++|
index-sha256:cfbf2274a7499e2ccf1738793396cce136576786415d4f3da20e500491c21e95:    done           |++++++++++++++++++++++++++++++++++++++|
manifest-sha256:78ef4cff96127a9c9302508ab8116d692e68f863f43598c00aa202ed216d961c: done           |++++++++++++++++++++++++++++++++++++++|
config-sha256:92978473846792f54f088079a8be7b26ab384e08271a3c6b2ca699f75c6a0b25:   done           |++++++++++++++++++++++++++++++++++++++|
layer-sha256:3645595d053b17b1910effafdcc6d924ff0f915b25ce81a07f76a7b0bb22c964:    done           |++++++++++++++++++++++++++++++++++++++|
elapsed: 1.2 s                                                                    total:  29.0 M (24.2 MiB/s)

run:
# nerdctl run --rm -it ipfs://bafkreigrkfhzm5bt5xbb7tvrnwzrkvulgipwupc4w24kwudysexmwzyske echo hello
hello

compose:
# mkdir /tmp/proj
# cat <<EOF > /tmp/proj/docker-compose.yml
version: "3.4"
services:
  ubuntu:
    image: ipfs://bafkreigrkfhzm5bt5xbb7tvrnwzrkvulgipwupc4w24kwudysexmwzyske
    command: echo hello
EOF
# nerdctl compose up -f /tmp/proj/docker-compose.yml
INFO[0001] Creating container proj_ubuntu_1
INFO[0000] No non-localhost DNS nameservers are left in resolv.conf. Using default external servers: [nameserver <IP_ADDRESS> nameserver <IP_ADDRESS>]
INFO[0000] IPv6 enabled; Adding default IPv6 external servers: [nameserver 2001:4860:4860::8888 nameserver 2001:4860:4860::8844]
INFO[0001] Attaching to logs
ubuntu_1 |hello
INFO[0001] Container "proj_ubuntu_1" exited
INFO[0001] All the containers have exited
INFO[0001] Stopping containers (forcibly)
INFO[0001] Stopping container proj_ubuntu_1

encryption (needs to disable estargz conversoin):
# nerdctl pull ghcr.io/stargz-containers/ubuntu:20.04-org
# nerdctl image encrypt --recipient=jwe:/tmp/mypubkey.pem --platform=linux/amd64 ghcr.io/stargz-containers/ubuntu:20.04-org ghcr.io/stargz-containers/ubuntu:20.04-org-enc
sha256:524694948a388c3116478bbbe86c2934a158f51a1d9b6d28459ac9a5fa573e91
# nerdctl push --ipfs-no-estargz ipfs://ghcr.io/stargz-containers/ubuntu:20.04-org-enc
INFO[0000] pushing image "ghcr.io/stargz-containers/ubuntu:20.04-org-enc" to IPFS
INFO[0000] ensuring image contents
bafkreid4rpdokddpdxkjplmbgijyilmdneqzl3vpxzgpsq4764d5rrm4qq
# nerdctl run --rm -it ipfs://bafkreid4rpdokddpdxkjplmbgijyilmdneqzl3vpxzgpsq4764d5rrm4qq echo hello
FATA[0000] failed to extract layer sha256:ccdbb80308cc5ef43b605ac28fac29c6a597f89f5a169bbedbb8dec29c987439: failed to get stream processor for application/vnd.oci.image.layer.v1.tar+gzip+encrypted: exec: "ctd-decoder": executable file not found in $PATH: unknown
# nerdctl pull --unpack=false ipfs://bafkreid4rpdokddpdxkjplmbgijyilmdneqzl3vpxzgpsq4764d5rrm4qq echo hello
# nerdctl image decrypt --key=/tmp/mykey.pem ipfs://bafkreid4rpdokddpdxkjplmbgijyilmdneqzl3vpxzgpsq4764d5rrm4qq ubuntu:decrypted
sha256:2aa04b1e79ab1ca8af57a5bf67649871cb5fb6118e9cb07660cd6f1f435c5f80
# nerdctl run --rm -it ubuntu:decrypted echo hello
INFO[0000] No non-localhost DNS nameservers are left in resolv.conf. Using default external servers: [nameserver <IP_ADDRESS> nameserver <IP_ADDRESS>]
INFO[0000] IPv6 enabled; Adding default IPv6 external servers: [nameserver 2001:4860:4860::8888 nameserver 2001:4860:4860::8844]
hello

This commit also adds nerdctl ipfs push and nerdctl ipfs pull subcommands as the low-level CLI can be used for debugging.
Lazy pulling with stagz snapshotter (doc) is enabled when --snapshotter=stargz is specified.

TODO:

agreement on CLI design
tests
nerdctl build should support pulling base images from IPFS  (can be a following-up PR)

We can achive this by having a proxy which converts OCI Distribution Spec API to IPFS.
blocker: https://github.com/containerd/containerd/pull/6221

must be downstreamed to BuildKit. https://github.com/moby/buildkit/pull/2462

have an option for image encryption (can be a following-up PR)

CI seems to be cancelled?
Error: The operation was canceled.

Looks good but a couple of nits.
This is awesome :+1:

Probably now we have to increase the CI timeout
https://github.com/containerd/nerdctl/blob/f316402913c4239a2388b7467bcffc9735dd8327/.github/workflows/test.yml#L55

Probably now we have to increase the CI timeout

I'll fix it in this PR.


if you cast a vote and close the proposal, the overview page does not refresh the number of voters and tokens.

fixed in b7a0b26


Ansible integration with Rundeck on different hosts

Hi Guys
I am new to this, tried searching the issues, documents and other stuff related to Ansible and Rundeck integration, got some info, but that is not what i am looking for.
Can you please help me with the below questions that i have?

I have Ansible installed on one VM and Rundeck on another VM - Can we integrate both with this plugin?

Ansible host:
OS = Linux
Ansible Version = 1.8.2
Rundeck host:
OS = Linux
Rundeck Version = 2.1.1

If yes, can you please help me with some procedure to start working on integration.

Thank you
Manoj

Regarding to the document they need to be on the same machine.

Thank you @rangsan, do we have any possibility to integrate them from different hosts?

@mrondla I don't see this as being a feature we would consider adding.  In order for Rundeck to access Ansible on a remote host, we would basically be re-inventing Ansible to do the connection brokering.  It is just a lot easier to have them all on one host.

Thank you @DerekTBrown, appreciated your response. That make sense. I will try to find a solution for my case.


Decide whether to integrate script serving same purpose

This script by @Bjwebb is on an unmerged branch of the standard repo: https://github.com/open-contracting/standard/blob/mapping_sheet/standard/schema/utils/mapping_sheet.py

Moved to https://github.com/open-contracting/ocdskit/issues/25


BADGE REQUEST [Sadooor#5579]

What is your Discord Tag?
Sadooor#5579
What is your UID (User ID)?
604968093181018112
What is the image for the badge that you want? Please make sure that the image is hosted on a trusted domain, such as i.imgur or cdn.discordapp.
https://cdn.discordapp.com/attachments/835462212130045982/835462273573191720/image1.png
Additional Confirmation:

[x] My badge does not contain any NSFW material.
[x] My badge is not a badge that signifies that I am an official developer / staff for Discord or client mod communities.

Added!

Added!

thanks


How to set the value received from the response to .js or json file

Hello,
I am a huge fan of karate. Thanks for creating it and share with us.
Currently, I am facing problem to set the response value back to the .js or JSON file.
My response:
{
"authorizationtoken" : "58102a8c9e074d578edae8f3d5e96001'
}
How can I save this to .js or JSON file to reuse them in other scripts?
Want to change the below code to save the value dynamically after running the feature file.
function() {
var User_AuthTok =
{
'authorizationtoken' : '58102a8c9e074d578edae8f3d5e96001'
};
return User_AuthTok.authorizationtoken;
}
Thanks in advance.

you just need to save the token in memory (see def) and re-use it as a header (see configure). I don' think you should be trying to save responses to files. if you still have questions, try stack overflow.

demo.feature

def guest = response.response.sessionToken
I have saved the token in guest and want to use in another feature file.

demo2.feature
Background:

def authorizationtoken1 = call read('demo.feature') guest
configure headers = { authorizationtoken: authorizationtoken1}
With the above code i am unable to get the value that i have saved in the guest memory.
Can you give an example that how can i reuse it in a header.

look at the second demo: https://github.com/intuit/karate/tree/master/karate-demo


Proximitychecker component

why:

faster: if 10k monsters have 10 components each, we iterate 100k components each time we proximity check. now they each only have 1 component that can do prox checking, so we iterate 10k components
less complexity. rebuildobservers can be simplified a little bit more afterwards
no reason why every single networkbehaviour should be able to do proximity checking. unet originally did this for rare cases where compA might check observers at certain times, and compB at other times, or compA adds some observers, compB adds more observers with a different check method
easier to test
less BUG PRONE: previously OnCheckObservers needed to return true to indicate that it was overwritten. last year we had a bug where we returned false on early returns, accidentally indicating that it wasn't overwritten, hence ending up with every connection on the server as observer in first rebuild. that's not good.
slightly easier to use: adds networkidentity.proximityChecker field that can be used from components without extra GetComponent call. I do this in uMMORPG a lot.

IMPORTANT: we lose the ability to do what I described above, where compA adds some observers with one method, and compB adds even more observers with another method.
but since day 1 no one ever did that. and we pay a huge price in complexity and performance to have that feature.

@vis2k#2357  What if we used events instead?  like this:
class NetworkIdentity : MonoBehaviour
{
     public event Action<HashSet<NetworkConnection>, bool> OnRebuildObservers;

     internal bool GetNewObservers(HashSet<NetworkConnection> observersSet, bool initialize)
     {
         if (OnRebuildObservers != null) {
             OnRebuildObservers(observersSet, initialize);
              ...
         }
     }
}

public class NetworkSceneChecker : NetworkProximityCheck
{
     public void OnRebuildObservers(HashSet<NetworkConnection> observers, bool initialize)
     {
        ...
     }

     public override OnStartServer() {
         netIdentity.OnRebuildObservers += OnRebuildObservers;
     }
}

This has several advantages:

Reduce coupling,  the NetworkIdentity does not have a dependency on another class and does not need to scan components
Multiple classes can subscribe to the event
You have the flexibility of subscribing to the event even from non NetworkBehaviors
O(1),  if there are no subscribers, there is no cost,  and typically there is only 1 subscriber

The new class needs a more generic name than "Proximity" since observers could be determined for other things than distance: Team, Guild, Match, Scene.
NetworkVisibilityBase perhaps, since it's really just an abstract base class.

The new class needs a more generic name than "Proximity" since observers could be determined for other things than distance: Team, Guild, Match, Scene.
NetworkVisibilityBase perhaps, since it's really just an abstract base class.

Usually it's called areas of interest. NetworkAreaOfInterestChecker sounds way too long though. NetworkVisbility sounds nice actually.

What if we used events instead? like this:
class NetworkIdentity : MonoBehaviour
{
     public event Action<HashSet<NetworkConnection>, bool> OnRebuildObservers;

     internal bool GetNewObservers(HashSet<NetworkConnection> observersSet, bool initialize)
     {
         if (OnRebuildObservers != null) {
             OnRebuildObservers(observersSet, initialize);
              ...
         }
     }
}

public class NetworkSceneChecker : NetworkProximityCheck
{
     public void OnRebuildObservers(HashSet<NetworkConnection> observers, bool initialize)
     {
        ...
     }

     public override OnStartServer() {
         netIdentity.OnRebuildObservers += OnRebuildObservers;
     }
}

This has several advantages:
1. Reduce coupling, NetworkIdentity does not have a dependency on another class and does not need to scan components

2. Multiple classes can subscribe to the event

3. You have the flexibility of subscribing to the event from any component, not just NetworkBehaviors

4. O(1),  if there are no subscribers, there is no cost,  and typically there is only 1 subscriber

I see the point.
But there is no reason why would only do it for OnRebuildObservers then, when everything else is still virtual. It should be all or nothing, and breaking everything for everyone is not good :)

I agree with Gadget. If there is a base visibility class. Then this ProximityChecker is a type of visibility class. Along with TeamVisibilityChecker or SceneVisibilityChecker. I guess you could potentially have more than one like this? The base should not have proximity in it's name. Neither should the refs in NetworkIdentity.

Usually it's called areas of interest. NetworkAreaOfInterestChecker sounds way too long though. NetworkVisbility sounds nice actually.

Just as we have NetworkTransformBase, that's why I suggested NetworkVisibilityBase.  No one can use this new class as a component, it has to be inherited from.

It was renamed to NetworkVisbility, and NetworkIdentity has a nice and clean .visibility field now.

all tests pass, it was renamed, it's faster, it's less complex.
will merge this now :)


Arquillian Persistence Extension release notes for Alpha 1&2

Somehow website for Alpha2 is not included on the blog list, but HTML is generated correctly. The same applies for Jacoco and Drone CR3 in my local settings.

Please just cherry-pick c3201b3 :) Somehow I messed up with the branch... again... :D Or maybe it is just too late.

pushed upstream
To have them update you need to do the following
Delete where tag/release information is read from:
rm -rf _tmp/repo/[repo-that-contain-release]
Delete the overview from jira that contains all released versions
rm -rf _tmp/jira/jira-ARQ.json


Fix issues reported by linter clippy

This PR fix a few issues reported by linter clippy. It also updates some actions from node v12 to node v16.

Thank you!


Request: Read specific line

Hi josephdadams and everybody else,
thank you very much for the module, I just wanted to ask, if it was possible to expand the module with the possibility to just read a specific line of a file. For example, I have a text file with:
42
3
92
24
Now I want to tell your module to read line 3 (or costum_variable_x) and result would be costum_variable_y (92).
So basically a new command "read line of file" with an additional variable. I already found a workaround by running an internal shell patch action and calling the windows powershell and (get-content), but I think a solution via a module would be nicer - also for non-programmers.
Thank you very much
Bastian

Are the files always utf8 encoded?

I haven´t spent any thoughts on that. A "normal" windows txt-file seems to be UTF-8 as far as my quick research tells me. This would be my use-case, but I don´t know if other people will use it otherwise...

I won’t have time to do something like this unless it was paid work. But feel free to submit a pull request that does it. The module also needs to be converted to companion v3 api.

I did convert this module to the new v3 format, so there’s that!

@linecheck I've added this action for you. You can read a specific line of the configured file or a specific line of a custom file path. With every field supporting a custom variable value if needed.
Find someone who needs a hug and pass it on.


docker err mounting "/" to rootfs "/var/lib/flynn/image/mnt..."

Since I updated to the November release I can't seem to get docker containers that were previously working to start up in Flynn cluster.
I've tried these containers:
sebp/elk:es241_l240_k461 (elastic search)
jenkins
There are no errors in the app logs.
scale output:

Timed out waiting for job events. Waited 20 seconds.
expected: map[app:map[up:1]]
actual: map[app:map[pending:7 starting:6 down:6]]

flynn-host.log:

t=2016-12-07T14:34:21+0000 lvl=eror msg="error running job" app=host pid=11368 host.id=ip1006158 fn=AddJob job.id=ip1006158-d200dcd8-6dd1-4acb-bd4b-cfc96cdd5623 err="rootfs_linux.go:53: mounting "/" to rootfs "/var/lib/flynn/image/mnt/ip1006158-d200dcd8-6dd1-4acb-bd4b-cfc96cdd5623" caused "no such file or directory""

@philejmath sorry it took a while to respond, it looks like there is an issue when there are lots of layers, I can see this in dmesg:
overlayfs: failed to resolve '/var/lib/flynn/volum': -2

So it looks like something is being truncated. I'll push a fix in the next few days.

Fix proposed in #3758.


Feature/abiotic simple model

abiotic_simple_model (see #216) which includes the new way of handing the update interval across models. It also includes a 'counter' to allow the model to access the correct index from a time series of climate data input. The setup and update functions will be part of a separate PR on the simple_regression.
Type of change

[x] New feature (non-breaking change which adds functionality)
[ ] Optimization (back-end change that speeds up the code)
[ ] Bug fix (non-breaking change which fixes an issue)

Key checklist

[x] Make sure you've run the pre-commit checks: $ pre-commit run -a
[x] All tests pass: $ poetry run pytest

Further checks

[x] Code is commented, particularly in hard-to-understand areas
[x] Tests added that prove fix is effective or that feature works

Codecov Report

Merging #219 (20aa775) into develop (2082a42) will increase coverage by 0.16%.
The diff coverage is 98.52%.

@@             Coverage Diff             @@
##           develop     #219      +/-   ##
===========================================
+ Coverage    94.95%   95.12%   +0.16%
===========================================
  Files           33       35       +2
  Lines         1408     1476      +68
===========================================
+ Hits          1337     1404      +67
- Misses          71       72       +1

Impacted Files
Coverage Δ

...rest/models/abiotic_simple/abiotic_simple_model.py
98.41% <98.41%> (ø)

...rtual_rainforest/models/abiotic_simple/__init__.py
100.00% <100.00%> (ø)

:mega: We’re building smart automated test selection to slash your CI/CD build times. Learn more


no fragments found in kinesis video stream

I tried streaming video from my laptop webcam to KVS using MinGW(c++ producer SDK). But it shows no fragments found.  I have a lenovo ideapad y700 laptop. When run in MinGW, the following log was found.
(gst-launch-1.0:12932): GStreamer-WARNING **: 01:10:21.774: Failed to load plugin 'C:\msys64\mingw64\lib\gstreamer-1.0\libgstx265.dll': 'C:\msys64\mingw64\lib\gstreamer-1.0\libgstx265.dll': The specified procedure could not be found.
Setting pipeline to PAUSED ...
[INFO ][2019-02-06 19:40:21] Initializing curl.
[INFO ][2019-02-06 19:40:21]
createKinesisVideoClient(): Creating Kinesis Video Client
[INFO ][2019-02-06 19:40:21]
heapInitialize(): Initializing native heap with limit size 10485760, spill ratio 0% and flags 0x00000001
[INFO ][2019-02-06 19:40:21]
heapInitialize(): Creating AIV heap.
[INFO ][2019-02-06 19:40:21]
heapInitialize(): Heap is initialized OK
[INFO ][2019-02-06 19:40:21] Refreshing credentials. Force refreshing: 0 Now time is:<PHONE_NUMBER>798189800 Expiration: 0
[INFO ][2019-02-06 19:40:21] New credentials expiration is<PHONE_NUMBER>
[DEBUG][2019-02-06 19:40:21] createDeviceHandler invoked
[INFO ][2019-02-06 19:40:21]
createDeviceResultEvent(): Create device result event.
[DEBUG][2019-02-06 19:40:21] clientReadyHandler invoked
[DEBUG][2019-02-06 19:40:21] Awaiting for the producer to become ready...
[DEBUG][2019-02-06 19:40:21] Kinesis Video producer is Ready.
[INFO ][2019-02-06 19:40:21] try creating stream
[INFO ][2019-02-06 19:40:21] Creating Kinesis Video Stream ExampleStream
[INFO ][2019-02-06 19:40:21]
createKinesisVideoStream(): Creating Kinesis Video Stream.
[DEBUG][2019-02-06 19:40:21] describeStreamHandler invoked
[DEBUG][2019-02-06 19:40:21] Awaiting for the stream to become ready...
[INFO ][2019-02-06 19:40:21] Refreshing credentials. Force refreshing: 0 Now time is:<PHONE_NUMBER>799832400 Expiration: 0
[DEBUG][2019-02-06 19:40:23] describeStream response: {"StreamInfo":{"CreationTime":1.549478491599E9,"DataRetentionInHours":2,"DeviceName":"Kinesis_Video_Device","KmsKeyId":"arn:aws:kms:us-west-2:073686542274:alias/aws/kinesisvideo","MediaType":"video/h264","Status":"ACTIVE","StreamARN":"arn:aws:kinesisvideo:us-west-2:073686542274:stream/ExampleStream/1549478491599","StreamName":"ExampleStream","Version":"vv3HSwA86BBEqZZyCimR"}}
[INFO ][2019-02-06 19:40:23] Discovered existing Kinesis Video stream: arn:aws:kinesisvideo:us-west-2:073686542274:stream/ExampleStream/1549478491599
[INFO ][2019-02-06 19:40:23] stream arn in stream_info struct: arn:aws:kinesisvideo:us-west-2:073686542274:stream/ExampleStream/1549478491599
[INFO ][2019-02-06 19:40:23]
describeStreamResultEvent(): Describe stream result event.
[DEBUG][2019-02-06 19:40:23] streamingEndpointHandler invoked
[INFO ][2019-02-06 19:40:23] Refreshing credentials. Force refreshing: 0 Now time is:<PHONE_NUMBER>699084600 Expiration: 0
[DEBUG][2019-02-06 19:40:25] getStreamingEndpoint response: {"DataEndpoint":"https://s-4010bf70.kinesisvideo.us-west-2.amazonaws.com"}
[INFO ][2019-02-06 19:40:25] streaming to endpoint: https://s-4010bf70.kinesisvideo.us-west-2.amazonaws.com
[INFO ][2019-02-06 19:40:25]
getStreamingEndpointResultEvent(): Get streaming endpoint result event.
[DEBUG][2019-02-06 19:40:25] streamingTokenHandler invoked
[INFO ][2019-02-06 19:40:25] Refreshing credentials. Force refreshing: 1 Now time is:<PHONE_NUMBER>045338000 Expiration:<PHONE_NUMBER>
[INFO ][2019-02-06 19:40:25] New credentials expiration is<PHONE_NUMBER>
[INFO ][2019-02-06 19:40:25]
getStreamingTokenResultEvent(): Get streaming token result event.
[DEBUG][2019-02-06 19:40:25] streamReadyHandler invoked
[DEBUG][2019-02-06 19:40:25] Kinesis Video stream ExampleStream is Ready.
Stream is ready
Pipeline is live and does not need PREROLL ...
Setting pipeline to PLAYING ...
New clock: GstSystemClock
Redistribute latency...
[INFO ][2019-02-06 19:40:28] try starting stream. Stream handle: 53458096
[INFO ][2019-02-06 19:40:28]
kinesisVideoStreamFormatChanged(): Stream format changed.
[DEBUG][2019-02-06 19:40:28] putStreamHandler invoked
[DEBUG][2019-02-06 19:40:28] Created a new PutMedia request with stream upload handle: 0
[INFO ][2019-02-06 19:40:28]
putStreamResultEvent(): Put stream result event.
[INFO ][2019-02-06 19:40:28]
getKinesisVideoStreamMetrics(): Get stream metrics for Stream<PHONE_NUMBER>2fb4b0.
[INFO ][2019-02-06 19:40:28]
getKinesisVideoMetrics(): Get the memory metrics size.
[INFO ][2019-02-06 19:40:28] Creating new connection for Kinesis Video stream: ExampleStream
[INFO ][2019-02-06 19:40:28] Refreshing credentials. Force refreshing: 0 Now time is:<PHONE_NUMBER>871138300 Expiration: 0
[DEBUG][2019-02-06 19:40:28] Kinesis Video client and stream metrics
>> Overall storage byte size: 10485760
>> Available storage byte size: 10478760
>> Allocated storage byte size: 7000
>> Total view allocation byte size: 144072
>> Total streams frame rate (fps): 25
>> Total streams transfer rate (bps): 33554432 (32768 Kbps)
>> Current view duration (ms): 2
>> Overall view duration (ms): 2
>> Current view byte size: 6959
>> Overall view byte size: 6959
>> Current frame rate (fps): 25
>> Current transfer rate (bps): 33554432 (32768 Kbps)
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:HTTP/1.1 100 Continue
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:
[DEBUG][2019-02-06 19:40:30] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:30] Wrote 9917 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:30] Pausing CURL read for upload handle: 0
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:HTTP/1.1 200 OK
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:x-amzn-RequestId: f5de3f84-a818-4ba1-b34e-dbbd4ac27fb8
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:Content-Type: application/json
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:Transfer-Encoding: chunked
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:Date: Wed, 06 Feb 2019 19:40:29 GMT
[DEBUG][2019-02-06 19:40:30] Curl post header write function returned:
[INFO ][2019-02-06 19:40:31] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"BUFFERING","FragmentTimecode":0,"FragmentNumber":"91343852333181447247962534042408424052728840414"}
[DEBUG][2019-02-06 19:40:31] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:31] Wrote 11313 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:31] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:31]
getKinesisVideoStreamMetrics(): Get stream metrics for Stream<PHONE_NUMBER>2fb4b0.
[INFO ][2019-02-06 19:40:31]
getKinesisVideoMetrics(): Get the memory metrics size.
[DEBUG][2019-02-06 19:40:31] Kinesis Video client and stream metrics
>> Overall storage byte size: 10485760
>> Available storage byte size: 10423477
>> Allocated storage byte size: 62283
>> Total view allocation byte size: 144072
>> Total streams frame rate (fps): 16
>> Total streams transfer rate (bps): 30295360 (29585 Kbps)
>> Current view duration (ms): 802
>> Overall view duration (ms): 2993
>> Current view byte size: 23097
>> Overall view byte size: 60397
>> Current frame rate (fps): 16.2896
>> Current transfer rate (bps): 30295360 (29585 Kbps)
[DEBUG][2019-02-06 19:40:32] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:32] Wrote 10529 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:32] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:32] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"RECEIVED","FragmentTimecode":0,"FragmentNumber":"91343852333181447247962534042408424052728840414"}
[DEBUG][2019-02-06 19:40:32] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:32] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:32] Wrote 1282 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:32] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:32] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"BUFFERING","FragmentTimecode":2991,"FragmentNumber":"91343852333181447252914294199549945587511433104"}
[DEBUG][2019-02-06 19:40:32] fragmentAckReceivedHandler invoked
[INFO ][2019-02-06 19:40:32] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"PERSISTED","FragmentTimecode":0,"FragmentNumber":"91343852333181447247962534042408424052728840414"}
[DEBUG][2019-02-06 19:40:32] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:32] Wrote 4189 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:32] Pausing CURL read for upload handle: 0
[DEBUG][2019-02-06 19:40:33] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:33] Wrote 3780 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:33] Pausing CURL read for upload handle: 0
[DEBUG][2019-02-06 19:40:33] Wrote 1314 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:33] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:33]
getKinesisVideoStreamMetrics(): Get stream metrics for Stream<PHONE_NUMBER>2fb4b0.
[INFO ][2019-02-06 19:40:33]
getKinesisVideoMetrics(): Get the memory metrics size.
[DEBUG][2019-02-06 19:40:33] Kinesis Video client and stream metrics
>> Overall storage byte size: 10485760
>> Available storage byte size: 10414189
>> Allocated storage byte size: 71571
>> Total view allocation byte size: 144072
>> Total streams frame rate (fps): 15
>> Total streams transfer rate (bps): 26004600 (25395 Kbps)
>> Current view duration (ms): 66
>> Overall view duration (ms): 2130
>> Current view byte size: 12258
>> Overall view byte size: 70218
>> Current frame rate (fps): 15.5586
>> Current transfer rate (bps): 26004600 (25395 Kbps)
[DEBUG][2019-02-06 19:40:34] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:34] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:34] Wrote 3862 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:34] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:35] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"RECEIVED","FragmentTimecode":2991,"FragmentNumber":"91343852333181447252914294199549945587511433104"}
[DEBUG][2019-02-06 19:40:35] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:35] Wrote 14035 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:35] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:35] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"BUFFERING","FragmentTimecode":5119,"FragmentNumber":"91343852333181447257866054356691467453493616643"}
[DEBUG][2019-02-06 19:40:35] fragmentAckReceivedHandler invoked
[INFO ][2019-02-06 19:40:35] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"PERSISTED","FragmentTimecode":2991,"FragmentNumber":"91343852333181447252914294199549945587511433104"}
[DEBUG][2019-02-06 19:40:35] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:35] Wrote 2939 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:35] Pausing CURL read for upload handle: 0
[DEBUG][2019-02-06 19:40:36] Wrote 15764 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:36] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:36]
getKinesisVideoStreamMetrics(): Get stream metrics for Stream<PHONE_NUMBER>2fb4b0.
[INFO ][2019-02-06 19:40:36]
getKinesisVideoMetrics(): Get the memory metrics size.
[DEBUG][2019-02-06 19:40:36] Kinesis Video client and stream metrics
>> Overall storage byte size: 10485760
>> Available storage byte size: 10398459
>> Allocated storage byte size: 87301
>> Total view allocation byte size: 144072
>> Total streams frame rate (fps): 15
>> Total streams transfer rate (bps): 22331160 (21807 Kbps)
>> Current view duration (ms): 338
>> Overall view duration (ms): 2994
>> Current view byte size: 17878
>> Overall view byte size: 85415
>> Current frame rate (fps): 15.3219
>> Current transfer rate (bps): 22331160 (21807 Kbps)
[DEBUG][2019-02-06 19:40:37] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:37] Wrote 8565 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:37] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:38] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"RECEIVED","FragmentTimecode":5119,"FragmentNumber":"91343852333181447257866054356691467453493616643"}
[DEBUG][2019-02-06 19:40:38] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:38] Wrote 5830 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:38] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:38] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"BUFFERING","FragmentTimecode":8111,"FragmentNumber":"91343852333181447262817814513832989291304493906"}
[DEBUG][2019-02-06 19:40:38] fragmentAckReceivedHandler invoked
[INFO ][2019-02-06 19:40:38] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"PERSISTED","FragmentTimecode":5119,"FragmentNumber":"91343852333181447257866054356691467453493616643"}
[DEBUG][2019-02-06 19:40:38] fragmentAckReceivedHandler invoked
[DEBUG][2019-02-06 19:40:38] Wrote 2276 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:38] Pausing CURL read for upload handle: 0
[DEBUG][2019-02-06 19:40:39] Wrote 10363 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:39] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:39]
getKinesisVideoStreamMetrics(): Get stream metrics for Stream<PHONE_NUMBER>2fb4b0.
[INFO ][2019-02-06 19:40:39]
getKinesisVideoMetrics(): Get the memory metrics size.
[DEBUG][2019-02-06 19:40:39] Kinesis Video client and stream metrics
>> Overall storage byte size: 10485760
>> Available storage byte size: 10426526
>> Allocated storage byte size: 59234
>> Total view allocation byte size: 144072
>> Total streams frame rate (fps): 15
>> Total streams transfer rate (bps): 19165400 (18716 Kbps)
>> Current view duration (ms): 530
>> Overall view duration (ms): 2994
>> Current view byte size: 18799
>> Overall view byte size: 57348
>> Current frame rate (fps): 15.2386
>> Current transfer rate (bps): 19165400 (18716 Kbps)
[DEBUG][2019-02-06 19:40:40] Wrote 16372 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:40] Wrote 7160 bytes to Kinesis Video. Upload stream handle: 0
[DEBUG][2019-02-06 19:40:40] Pausing CURL read for upload handle: 0
[INFO ][2019-02-06 19:40:40] Curl post body write function for stream: ExampleStream and upload handle: 0 returned: {"EventType":"RECEIVED","FragmentTimecode":8111,"FragmentNumber":"91343852333181447262817814513832989291304493906"}
I don't know what is happening here. Can anyone please help me? Thanks in advance!

Can you check if you are trying to view the video in us-west-2(Oregon) region?
Thanks,
-ZH

@zhiyua-git I did just now. It works now. Thanks!


Remove InteractiveAnnotation abstraction

This became obsolete in https://github.com/mozilla/pdf.js/commit/bdeca30fbfe000c05643b4a8cdda692e2fd549a2. All it does is call the Annotation constructor and add hasHtml. This patch lets the Link and Text annotations directly extend the Annotation class and add hasHtml themselves.
This patch also removes an unused global.
@Snuffleupagus Could you review this patch? You can use http://linorg.usp.br/CTAN/macros/latex/contrib/pdfcomment/doc/pdfcomment.pdf to verify that both Text and Link annotations still behave the same.

/botio-linux preview

/botio test

This patch lets the Link and Text annotations directly extend the Annotation class and add hasHtml
themselves.

The patch in general looks good, and getting rid of unnecessary code is always a plus!
One small question though: Would it make sense to let the Annotation base class set this.data.hasHtml = true;, and then just override it where necessary in the inheriting classes, or do you feel that that would impair readability of the code?

I don't really understand the Linux bot failure. It seems hard to imagine that this patch is causing that. Has there been an update on the bots recently?
@Snuffleupagus I did not do that on purpose because this particular code fragment applied it only on the Text and Link annotations. I think it would be fine for the Widget annotations too, but to avoid any regressions I did not do that just yet and kept the code equivalent. I think we can get rid of hasHtml in a later refactoring completely though, so it should not be here too long anyway. I think it would be better to indicate hasHtml = true where necessary instead of overwriting the propertly elsewhere, indeed for reabability.

/botio test

Thanks for cleaning this up!


Possibility to use MariaDB connector

Now there is one MySQL connector that seems more official, mariadb, developed by MariaDB and the benchmarks seems good.

Available for testing via next tag since 3.0.0-alpha.5.

Closing as resolved.


Unclear sentence in markdown code style

The markdown code-style document contains the following sentence:

One SHOULD NOT not to use HTML, unless this is absolutely necessary.

The general gist is clear but the sentence needs work.
Would this be acceptable?

One SHOULD NOT use HTML, unless this is absolutely necessary.

👍


⚠ Bofrost.at has degraded performance

In 13cc983, Bofrost.at (https://www.bofrost.at) experienced degraded performance:

HTTP code: 200
Response time: 1037 ms

Resolved: Bofrost.at performance has improved in 5118c39 after 6 minutes.


Error

Guessing this isnt updated to the most latest version:
https://i.imgur.com/R7ZRaN1.png

This with 6.2.0-20230914?

This with 6.2.0-20230914?

it ism I believe 6.2.1 released

This with 6.2.0-20230914?

it is I believe 6.2.1 released

There is no 6.2.1 version. You must mean 6.2.0-1. Double check with streamlink --version in powershell. Also try reinstalling streamlink and then run the powershell command in this repo for the custom twitch.py file.
iirc I had this issue a few days ago and just had to update to 6.2.0-1.

oh mine says 6.1.0 thats my problem thanks


Why can't I get the example/demo code to work?

I am trying to get the ClientCredentialGrant demo code to work.
The code is at https://github.com/Azure-Samples/ms-identity-java-daemon/blob/master/src/main/java/ClientCredentialGrant.java
Here is the issue I posted there:
https://github.com/Azure-Samples/ms-identity-java-daemon/issues/4
Not sure if it is the demo or the underlying code.  So I'm asking in both places.
thanks

I have replied to the issue in ms-identity-java-daemon. Closing this as it's a duplicate.


@pika/plugin-bundle-web errors when importing react

[5/6] Running @pika/plugin-bundle-web...
Error: 'createContext' is not exported by node_modules/react/index.js
    at error (/Users/john/Desktop/hallway/client/apps/packages/@hallway/windows/node_modules/rollup/dist/rollup.js:3598:30)

Looks like the plugin-bundle-web is unable to bundle the react library into the bundle output, presumably because it is not an ESM module? Is this correct? And is there any way to bundle non-ESM modules into my outputted web bundle?

I tried naming a namedExport in the rollup config file, but that didn't work either.
https://github.com/styled-components/styled-components/issues/1654#issuecomment-441151140

That's actually not expected. You can see us using the Common.js rollup plugin here: https://github.com/pikapkg/builders/blob/master/packages/plugin-bundle-web/src/index.ts#L31
The plugin may treating all CJS as a default export, meaning that you need to do import React from 'react'; and then call React.createContext instead.


affected vendors/affectsCpe could cause ambiguity

I am not sure all of the semantics behind choosing one of affected.affectsCpe, affected.vendors, or affected.affectsSwid, but currently, the schema allows for potentially all 3 to be submitted. However, affected.vendors can contain multiple products in and of itself, each of which could have separate CPEs. Can/should we move affectsCpe elsewhere?

@chandanbn The problem is that most vendors don't consider the product object in this schema to be identifiable across disparate systems. That's what CPE is for. So if a particular product object specifies the affected versions and components, not being able to link it to data from e.g. CSAF advisories through a CPE identifier makes the entire product object pointless. Pretty much every other spec that deals with software identification defines a CPE on the individual component level:

https://cyclonedx.org/use-cases/#known-vulnerabilities
https://spdx.github.io/spdx-spec/3-package-information/#321-external-reference
https://github.com/oasis-tcs/csaf/blob/master/csaf_2.0/json_schema/csaf_json_schema.json#L157

With refactoring vendor->product tree to a flat list of products in #86, the list of affected CPEs can be attached to a product object. It would be a Cartesian product of product names x platforms x affected versions.
Eg

vendor: abc
product: xyz
platforms: [x86, MISP, android]
versions: [ {before: 1.3} ]
cpes: [
  cpe:2.3:a:abc:xyz:1.1:*:*:*:*:android:*

cpe:2.3:a:abc:xyz:1.2:*:*:*:*:android:*

cpe:2.3:a:abc:xyz:1.1:*:*:*:*:*:x86

cpe:2.3:a:abc:xyz:1.2:*:*:*:*:*:x86

...
]

Does this address your concern here?

Does this address your concern here?

It does! And https://github.com/CVEProject/cve-schema/pull/99 solves this nicely.


Improve stage1/init documentation

Improves documentation and fixes a typo

LGTM
The failure in Travis does not seem related... Is there a bug reported about that?
Too many goroutines running after integration test(s).
1 instances of:
syscall.Syscall(0x3, 0x12, 0x0, 0x0, 0x0, 0x0, 0x0)
	/home/travis/.gimme/versions/go1.6.linux.amd64/src/syscall/asm_linux_amd64.s:18 +0x5
syscall.Close(0x12, 0x0, 0x0)
	/home/travis/.gimme/versions/go1.6.linux.amd64/src/syscall/zsyscall_linux_amd64.go:296 +0x58
os.(*file).close(0xc82000ab80, 0x0, 0x0)
	/home/travis/.gimme/versions/go1.6.linux.amd64/src/os/file_unix.go:140 +0x91
FAIL	github.com/coreos/rkt/store	1.840s

    /home/travis/.gimme/versions/go1.6.linux.amd64/src/os/file_unix.go:140 +0x91

that's weird, warrants investigation

I reported it as a flaky test #2459

PTAL

This one is fine, but as a general rule please don't merge things with "needs reworked" and still waiting for a review ;-)

@jonboulle I was cleaning issues in the milestone, won't happen again


docs: correct grammar

Continues #2785

@EugeneHlushko  @montogeek

I like to leave the previous commits, for respect to its authors.

How to add those commits then?

By creating a branch from the authors branch

Yup you can cheery pick from fork, here is a good ref: https://gist.github.com/bhumphrey/3764983

@wizardofhogwarts Friendly ping

Taking this up :raised_hands:

Stalled, alternative was merged, closing


how the page should look

I just put a little css and some html to get us started. To some what the page is going to look like.

LOOKS GREAT


upload and unzip option

Description
with this extension it makes it easy to download an archive folder.  it would be cool if it also supported "upload and unzip archive".
this would make it simple for users to store data somewhere else but have a simple workflow for uploading and downloading their working dir. I can imagine this being good in the context of JupyterLite also.

Hey @jgunstone if you are willing to contribute this should be easy to achieve by combining the existing commands upload from lab and uncompressed from this extension.


Cannot read properties of undefined (reading 'filter')

when i build it , i got Cannot read properties of undefined (reading 'filter'), could u help me , thx
my project used with react-script 5.x react 18.x craco6.4.5

Do you have a reproducible example, help me locate the problem


Test_shape failed with torchsparse 1.2

Good work! I manged to get the shape using Test_shape.py but when using test_shape.py, I faced this error:
root@PC:/home/adelai_ws/AdelaiDepth# python3 LeReS/tools/test_shape.py --load_ckpt res101.pth --backbone resnext101
No protocol specified
processing (0000)-th image... LeReS/test_images/5.jpg
Traceback (most recent call last):
  File "LeReS/tools/test_shape.py", line 123, in <module>
    shift, focal_length, depth_scaleinv = reconstruct3D_from_depth(rgb, pred_depth_ori,
  File "LeReS/tools/test_shape.py", line 76, in reconstruct3D_from_depth
    shift_1 = refine_shift(pred_depth_norm, shift_model, predicted_focal_1, cam_u0, cam_v0)
  File "/home/adelai_ws/AdelaiDepth/LeReS/lib/test_utils.py", line 124, in refine_shift
    shift = refine_shift_one_step(depth_wshift_tmp, model, focal, u0, v0)
  File "/home/adelai_ws/AdelaiDepth/LeReS/lib/test_utils.py", line 108, in refine_shift_one_step
    outputs = model(inputs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/trainer/adelai_ws/AdelaiDepth/LeReS/lib/spvcnn_classsification.py", line 148, in forward
    x2 = self.stage2(x1)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/trainer/adelai_ws/AdelaiDepth/LeReS/lib/spvcnn_classsification.py", line 23, in forward
    out = self.net(x)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/container.py", line 141, in forward
    input = module(input)
  File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/torchsparse/nn/modules/conv.py", line 72, in forward
    return conv3d(inputs,
  File "/usr/local/lib/python3.8/dist-packages/torchsparse/nn/functional/conv.py", line 118, in conv3d
    idx_query = list(convert_neighbor_map_gpu(idx_query))
  File "/usr/local/lib/python3.8/dist-packages/torchsparse/nn/functional/convert_neighbor_map.py", line 9, in forward
    idx_batch, idx_point = torch.where(neighbor_map != -1)
ValueError: not enough values to unpack (expected 2, got 1)

I tried another version (1.4) but there is a change in the API. Any suggestions?
Thanks!

Hi,
Can any help me to sort out this issue?
I got the same  "ValueError: not enough values to unpack (expected 2, got 1)" error.
Though I tried with both torchsparse v1.2 and v1.4. but facing the same issue.

Hey you can replace first line with second line with torchsparse==1.4
Replace this:
from torchsparse.utils import sparse_collate_fn, sparse_quantize
with this:
from torchsparse.utils.collate import sparse_collate_fn from torchsparse.utils.quantize import sparse_quantize
It'll work with torchsparse==1.4

Hey,
Please check for default values for models in the test_shape.py and test_depth.py scripts.
Those values are different (resnet50 and resnet101), and they have to be the same.

@isamabdullah88 What do you mean by default values? the values are the same
@YoushaaMurhij  Can you please share how you solved this?

@Ir1d
Firstly move the model files to specified location and make sure the weight files are being read by the script. Place a check in code for that. I think the above error happens because of weight files not available.
Then, make sure that --load_ckpt and --backbone both use the same model. (Either resnet101.pth or resnet50.pth).
Hope this helps!


Clone to directory, and set working directory, like git -C directory

Hello!
I'd like to know if there is any way clone a castle to a specific directory, and work in that directory similar to how git -C directory works; the reason for asking is that I'd like to add this to a python program I'm working on, incorporating the yadm program as well, which also has the ability to specify which directory to clone to and work in.
In addition, would you happen to know if any possible solutions would work with the Ruby homesick version as well?
Thank you kindly for the help!

I don't know about homesick, but homeshick completely relies on $HOME. Meaning if you invoke it with HOME=/some/other/dir, it will assumes that is your home directory and work as expected. There is no way to get rid of the $HOME/.homesick/repos suffix though, that part is hardcoded.

Ah, that makes makes sense; thanks!


refactor(connector): replace hyper client implementation with reqwest

I hereby agree to the terms of the RisingWave Labs, Inc. Contributor License Agreement.
What's changed and what's your intention?
hyper::Client is deprecated in hyper v1 because it's considered to be higher-level.
We'd better switch to reqwest for high-level HTTP client.
Checklist

[x] I have written necessary rustdoc comments
[x] I have added necessary unit tests and integration tests
[x] All checks passed in ./risedev check (or alias, ./risedev c)

Documentation

[ ] My PR needs documentation updates. (Please use the Release note section below to summarize the impact on users)

Release note
If this PR includes changes that directly affect users or other significant modifications relevant to the community, kindly draft a release note to provide a concise summary of these changes. Please prioritize highlighting the impact these changes will have on users.

[!WARNING]
This pull request is not mergeable via GitHub because a downstack PR is open. Once all requirements are satisfied, merge this PR as a stack on Graphite.
Learn more

#16146  👈
#16145
main

This stack of pull requests is managed by Graphite. Learn more about stacking.

Join @BugenZhao and the rest of your teammates on  Graphite

#15429 introduced another occurrence. 🤡🤡


kvm: disable kernel module signing (libressl issue)

Building stage1 with kvm with libressl fails since CMS feature
is disabled in libressl.
Signing modules is not strictly necessary and can be disabled.
Closes #2238
Signed-off-by: Maciej Patelczyk<EMAIL_ADDRESS>

Signing modules is not strictly necessary

for posterity, can you expand on ramifications of disabling it?

Signing kernel module was disabled because there is incompatibility between libssl and libressl.
Kernel/scripts/sign-file.c utility includes openssl/cms.h header if libssl is 1.0.0 or newer.
Unfortunately libressl seems to introduce itself as compatible with libssl 1.0.0 (or newer) and this tries to enable CMS feature which is disabled in libressl.
This causes error and build fails.
Disabling kernel signing module excludes this utility and build succeeds.

LGTM


Setting Copied Spot Disappears in Editing Mode.

Describe the bug
When setting a spot to the current view and editing the copied spot disappears after moving to location.
To Reproduce
Are you able to reproduce the problem in a new project after restarting the app?
Yes
Steps to reproduce the behavior:

Copy Spot
Click on 'Set in Current View'
Move spot to new location.
Save Edits

Expected behavior
The spot should be viewable on the may when moving to different locations
Screenshots
If applicable, add screenshots to help explain your problem.
Smartphone (please complete the following information):

Device: IPad 11
OS:13
StraboSpot2 Version 4.0

Additional context
Add any other context about the problem here.

Fixed with commit 3d04731484d8337cd08a09bdceb98bdff6a02b0d


map continually refreshes in firefox and cordova

Hello,
I'm creating a cordova app and have your map on one of the pages, but every time I go to the page the map continually refreshes. This also happens in firefox. I'm using the meteor-ionic framework, not sure if this could be the cause.
I'm passing in the options like so:
Template.riderDashboard.helpers({
  dashboardMapOptions: function() {
    // Make sure the maps API has loaded
    if (GoogleMaps.loaded()) {
      // Map initialization options
      return {
        center: new google.maps.LatLng(-37.8136, 144.9631),
        zoom: 15,
        // Disable all controls from the map, to make it look nicer on mobile.
        panControl: false,
        zoomControl: false,
        mapTypeControl: false,
        scaleControl: false,
        streetViewControl: false,
        overviewMapControl: false
      };
    }
  }
});

and in my view:
{{> googleMap name="dashboardMap" options=dashboardMapOptions}}

Any idea what could be causing this? I'm not using any reactiveVars in the options, so not sure why it continually updates.
I'm using Meteor <IP_ADDRESS>
Thanks

Hey @lusilva hard to say exactly what might be the cause. Are you able to reproduce the bug in a new app that contains only the bare minimum code required to display the map?

Just did a major refractoring and the problem doesn't seem to appear anymore, not sure what was causing it originally.


{AKS} Update min cli core version to 2.38.0

This checklist is used to make sure that common guidelines for a pull request are followed.
Update min cli core version to 2.38.0 due to latest SDK requires a newer version azure.core.

For new extensions:

[ ] My extension description/summary conforms to the Extension Summary Guidelines.

About Extension Publish
There is a pipeline to automatically build, upload and publish extension wheels.
Once your pull request is merged into main branch, a new pull request will be created to update src/index.json automatically.
The precondition is to put your code inside this repository and upgrade the version in the pull request but do not modify src/index.json.

AKS


Exception type: Spaceship::UnauthorizedAccessError

[✔] 🚀
[04:12:46]: fastlane detected a Gemfile in the current directory
[04:12:46]: However, it seems like you didn't use bundle exec
[04:12:46]: To launch fastlane faster, please use
[04:12:46]:
[04:12:46]: $ bundle exec fastlane spaceauth
[04:12:46]:
[04:12:46]: Get started using a Gemfile for fastlane https://docs.fastlane.tools/getting-started/ios/setup/#use-a-gemfile
Logging into to App Store Connect (JamesShiporski113@hotmail.com)...
Two-factor Authentication (6 digits code) is enabled for account<EMAIL_ADDRESS>More information about Two-factor Authentication: https://support.apple.com/en-us/HT204915
If you're running this in a non-interactive session (e.g. server or CI)
check out https://github.com/fastlane/fastlane/tree/master/spaceship#2-step-verification
Please enter the 6 digit code you received at +86 ••• •••• ••25:
296173
Requesting session...
Could not login to App Store Connect
Please check your credentials and try again.
This could be an issue with App Store Connect,
Please try unsetting the FASTLANE_SESSION environment variable
(if it is set) and re-run fastlane spaceauth
Exception type: Spaceship::UnauthorizedAccessError
Looking for related GitHub issues on fastlane/fastlane...
➡  fastlane spaceauth return Unauthorized Access
https://github.com/fastlane/fastlane/issues/16197 [closed] 3 💬
26 Mar 2020
➡  The request could not be completed because: Unauthorized Access
https://github.com/fastlane/fastlane/issues/15411 [closed] 22 💬
08 Mar 2020
➡  fastlane cert got Unauthorized Access error
https://github.com/fastlane/fastlane/issues/16108 [closed] 62 💬
5 weeks ago
and 17 more at: https://github.com/fastlane/fastlane/search?q=The request could not be completed because%3A
	Unauthorized Access&type=Issues&utf8=✓
[!] The request could not be completed because:
Unauthorized Access
[✔] 🚀
[04:13:46]: fastlane detected a Gemfile in the current directory
[04:13:46]: However, it seems like you didn't use bundle exec
[04:13:46]: To launch fastlane faster, please use
[04:13:46]:
[04:13:46]: $ bundle exec fastlane env
[04:13:46]:
[04:13:46]: Get started using a Gemfile for fastlane https://docs.fastlane.tools/getting-started/ios/setup/#use-a-gemfile
[04:13:47]: Generating fastlane environment output, this might take a few seconds...
✅ fastlane environment ✅
Stack

Key
Value

OS
debian_based buster/sid

Ruby
2.5.1

Bundler?
false

Git
git version 2.17.1

Installation Source
/usr/local/bin/fastlane

Host
Ubuntu 18.04.3 LTS debian_based buster/sid (4.15.0-1057-aws)

Ruby Lib Dir
/usr/lib

OpenSSL Version
OpenSSL 1.1.1  11 Sep 2018

Is contained
false

Is homebrew
false

Is installed via Fabric.app
false

System Locale

Variable
Value

LANG
C.UTF-8
✅

LC_ALL

LANGUAGE

fastlane files:
`./fastlane/Fastfile`
# This file contains the fastlane.tools configuration
# You can find the documentation at https://docs.fastlane.tools
#
# For a list of all available actions, check out
#
#     https://docs.fastlane.tools/actions
#
# For a list of all available plugins, check out
#
#     https://docs.fastlane.tools/plugins/available-plugins
#

# Uncomment the line if you want fastlane to automatically update itself
# update_fastlane

default_platform(:ios)

platform :ios do
  desc "Description of what the lane does"
  lane :custom_lane do
    # add actions here: https://docs.fastlane.tools/actions
  end
end

lane :register_ids do
	register_devices(
  		devices_file: "./ids.txt"
	)
end

#下载provisioning_profile
lane :adhoc_profile do
    #如果没有在Apple Developer创建证书的话，get_certificates会帮你自动创建证书
    #get_certificates
    sigh(
        username<EMAIL_ADDRESS>        app_identifier: 'net.fishing.*',
        force: true,
        provisioning_name: 'test_adhoc9',
        ignore_profiles_with_different_name: true,
        adhoc: true,
        filename: adhoc.mobileprovision
    )
end

`./fastlane/Appfile`
# app_identifier("[[APP_IDENTIFIER]]") # The bundle identifier of your app
# apple_id("[[APPLE_ID]]") # Your Apple email address
app_identifier("net.fishing.*")
<EMAIL_ADDRESS>

# For more information about the Appfile, see:
#     https://docs.fastlane.tools/advanced/#appfile

fastlane gems

Gem
Version
Update-Status

fastlane
2.148.1
✅ Up-To-Date

Loaded fastlane plugins:
No plugins Loaded
Loaded gems

Gem
Version

did_you_mean
1.2.0

slack-notifier
2.3.2

rouge
2.0.7

xcpretty
0.3.0

terminal-notifier
2.0.0

terminal-table
1.8.0

plist
3.5.0

CFPropertyList
3.0.2

public_suffix
2.0.5

addressable
2.7.0

multipart-post
2.0.0

word_wrap
1.0.0

tty-screen
0.7.1

tty-cursor
0.7.1

tty-spinner
0.9.3

babosa
1.0.3

colored
1.2

highline
1.7.10

commander-fastlane
4.4.6

unf
0.1.4

domain_name
0.5.20190701

http-cookie
1.0.3

faraday-cookie_jar
0.0.6

fastimage
2.1.7

gh_inspector
1.1.3

mini_magick
4.10.1

multi_xml
0.6.0

rubyzip
1.3.0

security
0.1.3

xcpretty-travis-formatter
1.0.0

dotenv
2.7.5

bundler
2.1.4

naturally
2.2.0

simctl
1.6.8

jwt
2.1.0

uber
0.1.0

declarative
0.0.10

declarative-option
0.1.0

representable
3.0.4

retriable
3.1.2

mini_mime
1.0.2

httpclient
2.8.3

google-api-client
0.38.0

emoji_regex
1.0.1

nanaimo
0.2.6

colored2
3.1.2

claide
1.0.3

atomos
0.1.3

xcodeproj
1.16.0

unicode-display_width
1.7.0

excon
0.73.0

faraday
1.0.1

unf_ext
<IP_ADDRESS>

faraday_middleware
1.0.0

json
2.3.0

multi_json
1.14.1

signet
0.14.0

os
1.1.0

memoist
0.16.2

googleauth
0.12.0

digest-crc
0.5.1

google-cloud-errors
1.0.0

google-cloud-env
1.3.1

google-cloud-core
1.5.0

google-cloud-storage
1.26.1

aws-eventstream
1.1.0

aws-sigv4
1.1.3

aws-partitions
1.315.0

jmespath
1.4.0

aws-sdk-core
3.95.0

aws-sdk-kms
1.31.0

aws-sdk-s3
1.64.0

ipaddr
1.2.0

openssl
2.1.1

date
1.0.0

fileutils
1.0.2

psych
3.0.2

webrick
1.4.2

generated on: 2020-05-25

[04:13:48]: Take notice that this output may contain sensitive information, or simply information that you don't want to make public.
[04:13:48]: Open https://github.com/fastlane/fastlane/issues/new to submit a new issue ✅

I've faced with the same problem today. Fastlane version: 2.148.1

Same issue here

Have you tried to use fastlane via bundle and report results back?

Fixed for me after remove /Users/username/.fastlane/spaceship/{email}/cookie

Fixed for me after remove /Users/username/.fastlane/spaceship/{email}/cookie

No way

Same issue here

Also suddenly have this. No clue whats happening.

I was having the same problem. I removed the cookie file originally, but that didn't work. I had to remove the {email} directory as well.
It took 2 executions of fastlane to work though. The first time I didn't get the chance to enter the code, but the second run worked.

Same here. Apples Phone bill is increasing :)
`✅ fastlane environment ✅
Stack

Key
Value

OS
10.14

Ruby
2.5.8

Bundler?
false

Git
git version 2.20.0

Installation Source
/usr/local/Cellar/fastlane/2.148.1/libexec/bin/fastlane

Host
Mac OS X 10.14 (18A391)

Ruby Lib Dir
<EMAIL_ADDRESS>

OpenSSL Version
OpenSSL 1.1.1f  31 Mar 2020

Is contained
false

Is homebrew
false

Is installed via Fabric.app
false

Xcode Path
/Applications/Xcode.app/Contents/Developer/

Xcode Version
10.0

System Locale

Variable
Value

LANG
de_DE.UTF-8
✅

LC_ALL

LANGUAGE

fastlane files:
No Fastfile found
No Appfile found
fastlane gems

Gem
Version
Update-Status

fastlane
2.148.1
✅ Up-To-Date

Loaded fastlane plugins:
No plugins Loaded
Loaded gems

Gem
Version

slack-notifier
2.3.2

atomos
0.1.3

CFPropertyList
3.0.2

claide
1.0.3

colored2
3.1.2

nanaimo
0.2.6

xcodeproj
1.16.0

rouge
2.0.7

xcpretty
0.3.0

terminal-notifier
2.0.0

unicode-display_width
1.7.0

terminal-table
1.8.0

plist
3.5.0

public_suffix
2.0.5

addressable
2.7.0

multipart-post
2.0.0

word_wrap
1.0.0

tty-screen
0.7.1

tty-cursor
0.7.1

tty-spinner
0.9.3

babosa
1.0.3

colored
1.2

highline
1.7.10

commander-fastlane
4.4.6

excon
0.73.0

faraday
1.0.1

unf_ext
<IP_ADDRESS>

unf
0.1.4

domain_name
0.5.20190701

http-cookie
1.0.3

faraday-cookie_jar
0.0.6

faraday_middleware
1.0.0

fastimage
2.1.7

gh_inspector
1.1.3

mini_magick
4.10.1

multi_xml
0.6.0

rubyzip
1.3.0

security
0.1.3

xcpretty-travis-formatter
1.0.0

dotenv
2.7.5

naturally
2.2.0

simctl
1.6.8

jwt
2.1.0

uber
0.1.0

declarative
0.0.10

declarative-option
0.1.0

representable
3.0.4

retriable
3.1.2

mini_mime
1.0.2

multi_json
1.14.1

signet
0.14.0

memoist
0.16.2

os
1.1.0

googleauth
0.12.0

httpclient
2.8.3

google-api-client
0.38.0

google-cloud-env
1.3.1

google-cloud-errors
1.0.0

google-cloud-core
1.5.0

digest-crc
0.5.1

google-cloud-storage
1.26.1

emoji_regex
1.0.1

json
2.3.0

bundler
2.1.4

aws-eventstream
1.1.0

aws-sigv4
1.1.3

aws-partitions
1.320.0

jmespath
1.4.0

aws-sdk-core
3.96.1

aws-sdk-kms
1.31.0

aws-sdk-s3
1.66.0

openssl
2.1.0

date
1.0.0

fileutils
1.0.2

ipaddr
1.2.0

psych
3.0.2

webrick
1.4.2

generated on: 2020-05-26
`

Might be there issues with apple auth, I tested it several times today without any issues. 🤔

Suggestion by @notsubversion worked for me.
Removing the email directory at
/Users/username/.fastlane/spaceship/{email}/
and then running it twice did the job.

Having this issue, nothing working 😢
✅ fastlane environment ✅
Stack

Key
Value

OS
10.15.4

Ruby
2.6.3

Bundler?
false

Git
git version 2.26.2

Installation Source
/usr/local/bin/fastlane

Host
Mac OS X 10.15.4 (19E287)

Ruby Lib Dir
/System/Library/Frameworks/Ruby.framework/Versions/2.6/usr/lib

OpenSSL Version
LibreSSL 2.8.3

Is contained
false

Is homebrew
false

Is installed via Fabric.app
false

Xcode Path
/Applications/Xcode.app/Contents/Developer/

Xcode Version
11.5

System Locale

Variable
Value

LANG
en_US.UTF-8
✅

LC_ALL

LANGUAGE

fastlane files:
`./fastlane/Fastfile`
# This file contains the fastlane.tools configuration
# You can find the documentation at https://docs.fastlane.tools
#
# For a list of all available actions, check out
#
#     https://docs.fastlane.tools/actions
#
# For a list of all available plugins, check out
#
#     https://docs.fastlane.tools/plugins/available-plugins
#

# Uncomment the line if you want fastlane to automatically update itself
update_fastlane

default_platform(:ios)

platform :ios do
  desc "Generate new localized screenshots"
  lane :screenshots do
    capture_screenshots(scheme: "RadiusTests")
  end
end

`./fastlane/Appfile`
app_identifier("net.multieducator.Radius") # The bundle identifier of your app
# apple_id("[[APPLE_ID]]") # Your Apple email address

# For more information about the Appfile, see:
#     https://docs.fastlane.tools/advanced/#appfile

fastlane gems

Gem
Version
Update-Status

fastlane
2.148.1
✅ Up-To-Date

Loaded fastlane plugins:
No plugins Loaded
Loaded gems

Gem
Version

did_you_mean
1.3.0

slack-notifier
2.3.2

rouge
2.0.7

xcpretty
0.3.0

terminal-notifier
2.0.0

unicode-display_width
1.7.0

terminal-table
1.8.0

plist
3.5.0

public_suffix
2.0.5

addressable
2.7.0

multipart-post
2.0.0

word_wrap
1.0.0

tty-screen
0.7.1

tty-cursor
0.7.1

tty-spinner
0.9.3

babosa
1.0.3

colored
1.2

highline
1.7.10

commander-fastlane
4.4.6

excon
0.73.0

unf_ext
<IP_ADDRESS>

unf
0.1.4

domain_name
0.5.20190701

http-cookie
1.0.3

faraday-cookie_jar
0.0.6

fastimage
2.1.7

gh_inspector
1.1.3

mini_magick
4.10.1

multi_xml
0.6.0

rubyzip
1.3.0

security
0.1.3

xcpretty-travis-formatter
1.0.0

dotenv
2.7.5

bundler
1.17.2

naturally
2.2.0

simctl
1.6.8

jwt
2.1.0

uber
0.1.0

declarative
0.0.10

declarative-option
0.1.0

representable
3.0.4

retriable
3.1.2

mini_mime
1.0.2

multi_json
1.14.1

signet
0.14.0

httpclient
2.8.3

google-api-client
0.38.0

emoji_regex
1.0.1

nanaimo
0.2.6

colored2
3.1.2

claide
1.0.3

CFPropertyList
3.0.2

atomos
0.1.3

xcodeproj
1.16.0

faraday
1.0.1

faraday_middleware
1.0.0

json
2.3.0

os
1.1.0

memoist
0.16.2

googleauth
0.12.0

digest-crc
0.5.1

google-cloud-errors
1.0.0

google-cloud-env
1.3.1

google-cloud-core
1.5.0

google-cloud-storage
1.26.1

aws-eventstream
1.1.0

aws-sigv4
1.1.3

aws-partitions
1.320.0

jmespath
1.4.0

aws-sdk-core
3.96.1

aws-sdk-kms
1.31.0

aws-sdk-s3
1.66.0

forwardable
1.2.0

logger
1.3.0

stringio
0.0.2

ipaddr
1.2.2

openssl
2.1.2

ostruct
0.1.0

strscan
1.0.0

date
2.0.0

fileutils
1.1.0

etc
1.0.1

io-console
0.4.7

zlib
1.0.0

libxml-ruby
3.1.0

rexml
3.1.9

psych
3.1.0

mutex_m
0.1.0

webrick
1.4.2

generated on: 2020-05-29

+1. Yesterday it was fine, my team was deploying Testflight builds with no problem. Today none of it's working and the workaround mentioned above aren't working.

Nothing was working too since today.
By despair i went to Apple Developer, relogged on it, retry my lane after and it worked again... 🤔
Don't know... maybe a weird account state in Apple Auth Server that my login reset ?!

Nothing was working too since today.
By despair i went to Apple Developer, relogged on it, retry my lane after and it worked again... 🤔
Don't know... maybe a weird account state in Apple Auth Server that my login reset ?!

What exactly did you do after you logged into Apple Developer?

I did get the uploaded archive listed in App Store Connect, but fastlane failed with the same error.
I did get the usual "Export Compliance" question though. Maybe some context?

@eytanschulman Absolutly nothing, that's the weirder, i just restart the lane the same way than before, after i succesfully logged on Apple Developer Website.
Like i said, i don't exactly know what happened, i just shared this in case it could be useful for someone.

Was facing same issue and non of provided walkarounds worked. Finally it worked when I've tried to used two-factor auth code from iPhone and not from Mac. Hope this helps.

Thank you @tanmays , @chrmod , @Ballrock and all. I deleted the {email} folder and got the prompt to enter the code in my terminal, but I clicked "Allowed" on my Mac. It didn't work. I couldn't get the prompt afterward and the {email}folder didn't return either. So I logged into Apple Developer website on various browsers and tried again, tapping "Allowed" on my iPhone this time. It works!

Can we close this?

I'm still having problems with this even after logging onto Apple Developer on both my PC and mobile. I'm not even given a chance to put in any verification code when I run fastlane, it just exits 😢

when I run fastlane, it just exits

There's a backtrace?

I just tried the workarounds and none working.
Then tried to run FASTLANE_SESSION= in the terminal and then spaceauth again and it worked.

I've tried all workarounds mentioned:

Logging in to App Store Connect on desktop & mobile
Removing the directory in ~/.fastlane/spaceship/
Changing password and logging in again
Resetting FASTLANE_SESSION (it's not set)

I am seeing varying behavior when running bundle exec fastlane spaceauth:

Sometimes I'm asked to choose a trusted device, and sometimes I'm not
If I choose a device, sometimes I'm asked for a code and sometimes I'm not

But in all cases I see this output:
Could not login to App Store Connect
Please check your credentials and try again.
This could be an issue with App Store Connect,
Please try unsetting the FASTLANE_SESSION environment variable
(if it is set) and re-run `fastlane spaceauth`

Exception type: Spaceship::UnauthorizedAccessError

I hava this problem also.   after  delete  .fastlane  folder, it still perform the same.
after re-install os-system, it ok.   my os  is  ubuntu 18.04.
Logging into to App Store Connect (fenlaoliang08669@163.com)...
Could not login to App Store Connect
Please check your credentials and try again.
This could be an issue with App Store Connect,
Please try unsetting the FASTLANE_SESSION environment variable
(if it is set) and re-run `fastlane spaceauth`

Exception type: Spaceship::UnauthorizedAccessError

Looking for related GitHub issues on fastlane/fastlane...

➡  Exception type: Spaceship::UnauthorizedAccessError
    https://github.com/fastlane/fastlane/issues/16510 [open] 24 💬
    an hour ago

➡  fastlane spaceauth return Unauthorized Access
    https://github.com/fastlane/fastlane/issues/16197 [closed] 3 💬
    2 weeks ago

➡  The request could not be completed because: Unauthorized Access
    https://github.com/fastlane/fastlane/issues/15411 [closed] 22 💬
    08 Mar 2020

and 18 more at: https://github.com/fastlane/fastlane/search?q=The%20request%20could%20not%20be%20completed%20because%3A%0A%09Unauthorized%20Access&type=Issues&utf8=✓

[!] The request could not be completed because:
	Unauthorized Access

I tried all the workarounds listed here. I get 2FA but spaceship doesn't wait for me to enter the code and exit with

[!] The request could not be completed because:
Unauthorized Access

I just had the same issue, for me it was (seemingly) because my credit card had expired. After I updated it the login worked just fine.

Same issue.
After I update mac os version to 10.15.5, the problem occured.
I've tried all wordarounds above, but nothing worked.

After rebooting the OS,  the problem was resolved.
The problem was indeed present last Friday, but it's only now resolved.
I don't know why.

I've tried all wordarounds above, and restarted OS but nothing worked. Still waiting for workaround here.

I was using fastlane v2.141.0 and seeing the same issue. Updating to v2.149.1 fixed it.

I was on *v2.149.1 *all the while. One fine day, the problem just goes away
on its own ;)
On Tue, Jun 16, 2020 at 7:02 PM Damir Stuhec<EMAIL_ADDRESS>wrote:

I was using fastlane v2.141.0 and seeing the same issue. Updating to
v2.149.1 fixed it.
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub
https://github.com/fastlane/fastlane/issues/16510#issuecomment-644768104,
or unsubscribe
https://github.com/notifications/unsubscribe-auth/AGES2SPNOCCI4L57OANYBBLRW5X75ANCNFSM4NJGN32Q
.

Thanks! v2.149.1 fixed my problem.


TypeError: 'module' object is not callable

Hi All,
I have been getting the following error:
Using Theano backend.
Traceback (most recent call last):
File "main.py", line 63, in
m = Model(input=[x, x_maps], output=sam_resnet([x, x_maps]))
File "/Users/MichaelYan/sam/models.py", line 130, in sam_resnet
dcn = dcn_resnet(input_tensor=x[0])
File "/Users/MichaelYan/sam/dcn_resnet.py", line 143, in dcn_resnet
x = conv_block(x, 3, [64, 64, 256], stage=2, block='a', strides=(1, 1))
File "/Users/MichaelYan/sam/dcn_resnet.py", line 66, in conv_block
x = merge([x, shortcut], mode='sum')
TypeError: 'module' object is not callable
Any ideas for the cause? Thanks!

Hi @yan-michael,
thanks for downloading our code.
Which Keras and Theano versions are you using? Our code is compatible with Keras 1.1.0 and Theano 0.9.0.


Regex stickiness

Some time ago, Javascript got a stickiness flag y. Now Ceylon can have cross-platform sticky regexes, as in Java it is implemented (as \G boundary condition at the start of the pattern) since at least Java 7 (possibly earlier).
Relevant docs about sticky mode:

Java SE 7 java.util.regex.Pattern § Boundary matchers.
MDN RegExp.prototype.sticky.

About compatibility issues: one can easily test if y is supported, via creating RegExp('', 'y') and catching an (or no) exception.
Maybe other useful additions have appeared in JS, too.

I think it would have been more appropriate to have opened this over at eclipse/ceylon-sdk.

Oops. Opened there, this will be deleted.


Jaco Ros Noetic Upgrade

Miscellaneous changes were made which were required to run movo manipulation on ros noetic. Includes python2 -> python3, network, and other changes. Additional planning pipeline files were kept for now, but will likely be removed soon. The purpose of this PR is a bare minimum update so that the arms can move and to enable quicker development

also we should fix the issue with not being able to launch movo_system. can we get an output of the error?

does movo_system work now?


Add docs for Dialog and Snackbar to site

Move "Badges" into new "Notifications" section. In this section include Snackbar and Dialog documentation as well.

Done with #4043 and #4045.