text:
Bump Microsoft.AspNetCore.All from 2.0.5 to 2.0.9

Bumps Microsoft.AspNetCore.All from 2.0.5 to 2.0.9.

Release notes
Changelog
Commits

Checkmarx One – Scan Summary & Details – 3170da62-b30c-4ade-b4db-a79da6f495bf
New Issues

Severity
Issue
Source File / Package
Checkmarx Insight

CVE-2024-21907
Nuget-Newtonsoft.Json-11.0.2
Vulnerable Package

Fixed Issues

Severity
Issue
Source File / Package

Aurora With Disabled at Rest Encryption
/rds.tf: 49

Aurora With Disabled at Rest Encryption
/rds.tf: 113

Aurora With Disabled at Rest Encryption
/rds.tf: 33

Aurora With Disabled at Rest Encryption
/rds.tf: 17

Aurora With Disabled at Rest Encryption
/rds.tf: 81

Aurora With Disabled at Rest Encryption
/rds.tf: 1

Aurora With Disabled at Rest Encryption
/rds.tf: 97

Aurora With Disabled at Rest Encryption
/rds.tf: 65

Aurora With Disabled at Rest Encryption
/rds.tf: 130

Authentication Without MFA
/iam.tf: 29

CMK Rotation Disabled
/kms.tf: 1

CVE-2017-11883
Nuget-Microsoft.AspNetCore.Server.HttpSys-2.0.1

CVE-2018-0765
Nuget-System.Security.Cryptography.Xml-4.4.0

CVE-2018-0787
Nuget-Microsoft.AspNetCore.Server.Kestrel.Core-2.0.1

CVE-2018-0787
Nuget-Microsoft.AspNetCore.HttpOverrides-2.0.1

CVE-2018-8171
Nuget-Microsoft.AspNetCore.Identity-2.0.1

Cx1c23e55f-3350
Nuget-Microsoft.AspNetCore.Server.Kestrel.Transport.Libuv-2.0.1

Cx1c23e55f-3350
Nuget-Microsoft.AspNetCore.All-2.0.5

Cx1c23e55f-3350
Nuget-Microsoft.AspNetCore.Server.Kestrel.Core-2.0.1

Cx1c23e55f-3350
Nuget-Microsoft.AspNetCore.Server.Kestrel.Transport.Abstractions-2.0.1

Cx33c51043-bb26
Nuget-Microsoft.AspNetCore.Server.Kestrel.Core-2.0.1

Cx33c51043-bb26
Nuget-Microsoft.AspNetCore.All-2.0.5

Cx74a5855b-0176
Nuget-Microsoft.AspNetCore.All-2.0.5

Cx74a5855b-0176
Nuget-Microsoft.AspNetCore.Server.Kestrel-2.0.1

DB Instance Storage Not Encrypted
/db-app.tf: 19

EBS Volume Snapshot Not Encrypted
/ec2.tf: 53

EC2 Instance Has Public IP
/ec2.tf: 1

EC2 Instance Has Public IP
/db-app.tf: 243

HTTP Port Open To Internet
/ec2.tf: 77

IAM Database Auth Not Enabled
/db-app.tf: 1

KMS Key With Full Permissions
/kms.tf: 1

Missing User Instruction
/Dockerfile: 1

Passwords And Secrets - AWS Access Key
/ec2.tf: 15

Passwords And Secrets - AWS Access Key
/providers.tf: 10

Passwords And Secrets - AWS Access Key
/lambda.tf: 45

Passwords And Secrets - AWS Secret Key
/ec2.tf: 16

Passwords And Secrets - Generic Access Key
/providers.tf: 10

Passwords And Secrets - Generic Access Key
/lambda.tf: 45

Passwords And Secrets - Generic Secret
/lambda.tf: 46

Passwords And Secrets - Generic Secret
/providers.tf: 11

RDS DB Instance Publicly Accessible
/db-app.tf: 22

RDS Storage Not Encrypted
/rds.tf: 17

RDS Storage Not Encrypted
/rds.tf: 97

RDS Storage Not Encrypted
/rds.tf: 81

RDS Storage Not Encrypted
/rds.tf: 130

RDS Storage Not Encrypted
/rds.tf: 65

RDS Storage Not Encrypted
/rds.tf: 113

RDS Storage Not Encrypted
/rds.tf: 33

RDS Storage Not Encrypted
/rds.tf: 1

RDS Storage Not Encrypted
/rds.tf: 49

S3 Bucket Object Not Encrypted
/s3.tf: 23

Security Group With Unrestricted Access To SSH
/ec2.tf: 87

Sensitive Port Is Exposed To Entire Network
/ec2.tf: 83

Sensitive Port Is Exposed To Entire Network
/ec2.tf: 83

Unrestricted Security Group Ingress
/ec2.tf: 88

Unrestricted Security Group Ingress
/ec2.tf: 95

EBS Volume Encryption Disabled
/ec2.tf: 34

ECR Image Tag Not Immutable
/ecr.tf: 3

ELB Access Log Disabled
/elb.tf: 2

ElasticSearch Not Encrypted At Rest
/es.tf: 1

Elasticsearch Domain Not Encrypted Node To Node
/es.tf: 1

Elasticsearch Domain With Vulnerable Policy
/es.tf: 43

Elasticsearch Log Disabled
/es.tf: 1

Hardcoded AWS Access Key
/ec2.tf: 9

Hardcoded AWS Access Key In Lambda
/lambda.tf: 45

IAM Policies Attached To User
/iam.tf: 27

Neptune Cluster With IAM Database Authentication Disabled
/neptune.tf: 7

Neptune Database Cluster Encryption Disabled
/neptune.tf: 9

RDS With Backup Disabled
/db-app.tf: 18

S3 Bucket Logging Disabled
/ec2.tf: 271

S3 Bucket Logging Disabled
/s3.tf: 42

S3 Bucket Logging Disabled
/s3.tf: 1

S3 Bucket Logging Disabled
/s3.tf: 65

S3 Bucket Logging Disabled
/s3.tf: 113

S3 Bucket Without Versioning
/s3.tf: 1

S3 Bucket Without Versioning
/ec2.tf: 271

S3 Bucket Without Versioning
/s3.tf: 42

Unpinned Actions Full Length Commit SHA
/main.yml: 13

Unscanned ECR Image
/ecr.tf: 1

VPC Subnet Assigns Public IP
/ec2.tf: 139

VPC Subnet Assigns Public IP
/ec2.tf: 159

VPC Without Network Firewall
/ec2.tf: 117

EC2 Instance Using API Keys
/ec2.tf: 1

ECR Repository Not Encrypted With CMK
/ecr.tf: 1

ECR Repository Without Policy
/ecr.tf: 1

Healthcheck Instruction Missing
/Dockerfile: 1

IAM Access Analyzer Not Enabled
/es.tf: 1

IAM Access Analyzer Not Enabled
/kms.tf: 1

IAM Access Analyzer Not Enabled
/ecr.tf: 1

IAM Access Analyzer Not Enabled
/ec2.tf: 1

IAM Access Analyzer Not Enabled
/rds.tf: 1

IAM Access Analyzer Not Enabled
/elb.tf: 2

IAM Access Analyzer Not Enabled
/lambda.tf: 1

IAM Access Analyzer Not Enabled
/iam.tf: 1

IAM Access Analyzer Not Enabled
/s3.tf: 1

IAM Access Analyzer Not Enabled
/db-app.tf: 1

IAM Access Analyzer Not Enabled
/neptune.tf: 1

Lambda Functions Without X-Ray Tracing
/lambda.tf: 32

Lambda IAM InvokeFunction Misconfigured
/iam.tf: 29

S3 Bucket Without Enabled MFA Delete
/s3.tf: 70

S3 Bucket Without Enabled MFA Delete
/ec2.tf: 271

S3 Bucket Without Enabled MFA Delete
/s3.tf: 1

S3 Bucket Without Enabled MFA Delete
/s3.tf: 42

S3 Bucket Without Enabled MFA Delete
/s3.tf: 93

S3 Bucket Without Enabled MFA Delete
/s3.tf: 116

repo: mallorycheckmarx/Rush


text:
when running the image, results conversion to HTML fails!

Seems that there is a behavior change in the DataFrame.apply method.
I fixed the bug -- try pulling the latest changes and running the docker again.

source: gharchive/issue

authors: malusamayo zainebmb

repo: malusamayo/leakage-analysis

license: MIT

license_type: permissive

license_source: github-api


text:
Does not launch

I installed CrapSnap by transferring this folder to my Blackberry and opened CrapSnap.jad in the web browser.
Now, when I click on the icon of CrapSnap, it displays 'Loading...' for a short time then closes.
Do you know why?

I restarted my device and granted CrapSnap every authorization, and it now seems to work.
Thank you!

repo: mamatheking/CrapSnap

license_source: bigquery


text:
Formatter: Adds empty space to empty comments in code blocks

The following example:
# Here is the doc of a method, and contains an example:
#
# ```
# result = foo
#
# puts result
# ```
def foo
  # ...
end

There is no space after # between result = foo and puts result line, however the format tool adds one.
This result in some trailing spaces warning when merging branches with Git.
Thank you. :heart: :heart: :heart:

It probably should just make a final pass to strip trailing whitespace

@jhass Great idea, I was going to fix this particular case. Doing that I found that there are more cases where trailing spaces are left. I'll fix it soon :-)

I hope that now that the formatter is in the wild we'll fix these details and some bugs once and for all :-)

authors: asterite jhass luislavena

repo: manastech/crystal


text:
Add comments in file.cr

I've added comments in file.cr for self.dirname(filename), self.basename(filename) and self.basename(filename, suffix). Hope it's helpful :)

Thanks!

source: gharchive/pull-request

authors: MatthieuBlm jhass


text:
Flare-vm tools not installing

Description
Every time i try to install the script it shows :
Error
"Exception calling "DownloadFile" with "2" argument(s): "Unable to connect to the remote server"
At line:1 char:115

... /main/install.ps1',"$([Environment]::GetFolderPath("Desktop"))\instal ...

                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

CategoryInfo          : NotSpecified: (:) [], MethodInvocationException
FullyQualifiedErrorId : WebException"

The exception appears to be thrown as a result of the DownloadFile call below:
https://github.com/mandiant/flare-vm/blob/fea9dbcd65375013dcb68924f945a2fafc1aedb2/install.ps1#L301-L304
This call is trying to download the file https://raw.githubusercontent.com/mandiant/flare-vm/main/config.xml. If you run the code below in an admin powershell prompt, does it also throw an exception?
(New-Object System.Net.WebClient).DownloadFile('https://raw.githubusercontent.com/mandiant/flare-vm/main/config.xml', "$(${Env:TEMP})\config.xml")

I'm curious, do you have an AV/EDR solution running that may be preventing the connection to the remote host?

EDR/AV are not running. Still the same error

My next thought was that your VM might be in "host-only" mode, but I tried the same command I posted above with my VM in "host-only" mode and got the error: "The remote name could not be resolved: 'raw.githubusercontent.com'", so I don't think your VM is in "host-only" mode.
Overall, this seems to be a networking issue rather than an issue with the script itself. Unfortunately I'm not sure if I'll be able to properly diagnosis the root cause. You could try connecting to a proxy or VPN and trying again. Also check if there's any firewall or IDS that may be preventing the remote connection to be established.
Let me know if you find the root cause!

Closing for now, we can re-open when more information is available

@SUBHAMPAREEK were you able to identify the error? If so, please share the workaround/solution.

@Swapnil-Chatterjee @SUBHAMPAREEK I used a VPN with a random US location and it worked successfully. Thank a lot @MalwareMechanic.

authors: MalwareMechanic SUBHAMPAREEK Swapnil-Chatterjee luk0y

repo: mandiant/flare-vm


text:
logOut() does not end session on ID provider

I have the following configured in my AppComponent:
export class AppComponent {

    constructor(private router: Router,
        private oauthService: OAuthService) {

        // Login-Url
        this.oauthService.loginUrl = "https://login.microsoftonline.com/TENANT_ID_GUID/oauth2/authorize";

        // URL of the SPA to redirect the user to after login
        this.oauthService.redirectUri = window.location.origin + "/";

        // The SPA's id. Register SPA with this id at the auth-server
        this.oauthService.clientId = CLIENT_ID_GUID;

        // set the scope for the permissions the client should request
        this.oauthService.scope = "openid profile";

        // set to true, to receive also an id_token via OpenId Connect (OIDC) in addition to the
        // OAuth2-based access_token
        this.oauthService.oidc = true;

        //resourceAppId from manifest; required because requesting id_token AND token.  Would not be requied for just id_token...
        this.oauthService.resource = RESOURCE_ID_GUID;

        // Use setStorage to use sessionStorage or another implementation of the TS-type Storage
        // instead of localStorage
        this.oauthService.setStorage(sessionStorage);

        // To also enable single-sign-out set the url for your auth-server's logout-endpoint here
        this.oauthService.logoutUrl = "https://login.microsoftonline.com/TENANT_ID_GUID/oauth2/logout?id_token={{id_token}}";

        this.oauthService.issuer = "https://sts.windows.net/TENANT_ID_GUID/";

        // This method just tries to parse the token(s) within the url when
        // the auth-server redirects the user back to the web-app
        // It dosn't send the user the the login page
        this.oauthService.tryLogin({
            onTokenReceived: context => {
                var claims = context.idClaims;
                var currentUser = {
                    name: claims.name,
                    id: claims.unique_name,
                    roles: claims.roles
                };
                sessionStorage.setItem('currentUser', JSON.stringify(currentUser));
            }
        });
}

When I call oauthService.logOut(), it does not end the session on the ID provider server (Azure AD).  If I call oauthService.getAccessToken() it returns null and oauthService.hasValidAccessToken() returns false, but if I navigate to my ID provider login page (https://login.microsoftonline.com), my session is still active.
FWIW, I'm using v1.0.20.

I just did some additional investigating... it does not look like angular-oauth2-oidc ever actually calls the logoutUrl I set to end the session.  If I manually hit that URL I set this.oauthService.logoutUrl to be, it ends the session, but this library never calls that.  Any idea why?

Try removing the id_token from your logoutUrl:
this.oauthService.logoutUrl = "https://login.microsoftonline.com/TENANT_ID_GUID/oauth2/logout";

I have the same problem. How did you fix this?

@songokudbz I used the following code to log out:
this.oauthService.logoutUrl = 'https://login.microsoftonline.com/TENANT_ID_GUID/oauth2/logout?post_logout_redirect_uri=HTTPS://MYAPP.COM';

logOut() {
    this.oauthService.logOut();
    window.location.href = this.oauthService.logoutUrl;
}

It should be called. Try to remove id_token={{id_token}} (which is legacy)

@manfredsteyer I tried removing it, but to no avail.  I included it in the original post only because it was still in your documentation.  I agree with you that it "should" be called, but, nonetheless, it's not.  Not sure why you're closing this ticket...

Sorry for closing.
I did not manage to reproduce this. Perhaps you can try it with the new version 2 which just landet some minutes ago.
The sample app, committed here, can also do it, so perhaps it is a good idea to find out in which way it's usage of the lib differs from the usage in your application.
If you can crate a minimal demo-app that reproduces this issue, I'm happy to look over it.

Logout works for me. Here's the example app I'm using: https://developer.okta.com/blog/2017/04/17/angular-authentication-with-oidc

Discussion came to an end --> closing this. We can reopen it on demand.

@im1dermike Have you achieved that....?

This is happening to me too, so if i refresh the page, call logout method the localStorage is cleaned but no redirection to endsession endpoint.

Potentially related to https://github.com/damienbod/angular-auth-oidc-client/issues/1835

authors: GzimH anoordende iamvsaini im1dermike manfredsteyer mraible songokudbz ypetrovicimpactbuying

license: mit


text:
[ch1672] Specification on reconciliation procedure / payouts

Improve and detail piece-wise workflow from end user perspective
Currently the documentation does not give any concrete procedure or describe the processes involved t oend users. The only documentation that exists on this specific issue is the published diagram models, which are only generalized depictions of the underlying business logic.
From the original user asking this question in discord:
@sats_stacker7: Hello, I’m trying to understand fully where the USDC comes from which  is distributed back to the sushi trader as well as the miner and Fold  lp’er/staker… I’ve read your docs and listened to some videos but still unable to figure it out fully. Are there any particular threads/articles that best describe it?
tag: [ch1672]

This has been resolved at https://github.com/openmev/docs/pull/2

repo: manifoldfinance/documentation


text:
built LLM/ AI summarizer using a selected body of content (documentation and solutions for example)

Prompt: Summarize the content from the url (do not emit the url back) https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/9/html/managing_file_systems/index into a short summary.
Output: The documentation guide from Red Hat explains how to manage file systems in Red Hat Enterprise Linux 9. It covers various file systems, their benefits, and how to create, mount, resize, and manage them. The guide also provides practical examples and covers other topics such as partitioning, formatting disks, quotas, compression, encryption, and consistency checking and repair.

From https://til.simonwillison.net/gpt3/chatgpt-api
class ChatBot:
    def __init__(self, system=""):
        self.system = system
        self.messages = []
        if self.system:
            self.messages.append({"role": "system", "content": self.system})

    def __call__(self, message):
        self.messages.append({"role": "user", "content": message})
        result = self.execute()
        self.messages.append({"role": "assistant", "content": result})
        return result

    def execute(self):
        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=self.messages)
        # Uncomment this to print out token usage each time, e.g.
        # {"completion_tokens": 86, "prompt_tokens": 26, "total_tokens": 112}
        # print(completion.usage)
        return completion.choices[0].message.content

simon = ChatBot("You are a chatbot imitating Simon Willison. Pretend to be Simon.")
simon("Tell me about yourself")

https://medium.com/@agrofail/summarization-with-hugging-face-and-blurr-1b613265d155

https://towardsdatascience.com/make-a-text-summarizer-with-gpt-3-f0917a07189e

https://twitter.com/syedmuzamilm/status/1654051264295055361?s=46&t=aOEVGBVv9ICQLUYL4fQHlQ

Example Prompts

Summarize this article in 5 sentences or less
Summarize this article in 3 bullet points
Provide a 2-sentence engaging summary of this article that I can use in an email newsletter

Prompt engineering may also help you unlock summarization capabilities of GPT-3. The idea here is pretty simple: in our prompt we put in a passage of text that we want to summarize and then add something like "To summarize: " or "TL;DR".
You could try out other prompts besides "TL;DR"  like "in a couple words," "to summarize", "to simplify" and similar.
Source: https://wandb.ai/ivangoncharov/GPT-3/reports/Summary-Sentiment-Question-Answering-More-5-Creative-Tips-for-GPT-3-Prompt-Engineering--VmlldzoxODY0Nzky

Talks about the Challenges
https://www.anyscale.com/blog/llama-2-is-about-as-factually-accurate-as-gpt-4-for-summaries-and-is-30x-cheaper

One of the biggest challenges with summarization, however, is factuality: does the summary reflect accurately what the original document said? There are other characteristics, such as fluency and relevance that are also important, but LLMs are actually pretty good at both of those. Factuality (or its evil twin: hallucination) on the other hand is a known issue with LLMs. And it’s no use being fluent if you’re wrong.

Added instruction to ensure summary consistency with the original content. Based on Paper: ChatGPT as a Factual Inconsistency Evaluator for Text Summarization
✗ llm "You are a summary generator. Summarize the json in 200 characters or less. The summary should be consistent with the json. Note that consistency means all information in summary is supported by json. This will be used as a snippet for search results. $(head -n 1 ./data/raw/public_solutions_req_fields.jsonl)"

Unable to login to GUI in Redhat Enterprise Linux 6.2 after updating vmware tool. Users can login via ssh or console, but GUI hangs after entering username and password. The issue may be due to a problem with the interaction between vmware tools and RHEL6. To resolve, uninstall vmware tools and try again. Check ~/.xsession-errors logs for "Xlib: extension "VMWARE_CTRL" missing on display ":0.0"."

SummEval - Summarize Evaluation

Similar Problem on News Summarization
https://www.arxiv-vanity.com/papers/2301.13848/
Summary
This page is a research paper that investigates the summarization capabilities of large language models (LLMs). The main points are:

Instruction tuning is key: The paper evaluates ten LLMs on two news summarization benchmarks and finds that instruction tuning, a method of adapting LLMs to different tasks using natural language instructions, is more important than model size or incontext learning for zero-shot summarization performance¹[1].
Reference summaries are low-quality: The paper shows that the reference summaries in the existing benchmarks are of poor quality and do not reflect human performance or preferences. They also degrade the performance of systems that use them for supervision or evaluation²[2].
LLMs are comparable to freelance writers: The paper collects high-quality summaries from freelance writers and compares them to the best LLM, Instruct Davinci³[3]. The paper finds that the LLM summaries are more extractive and less paraphrastic than the human summaries, but are rated as equally good by annotators on average. However, there is high variability in individual annotators' preferences⁴[4].

Source: Conversation with Bing, 11/29/2023
(1) First, we .... undefined.
(2) Not only d.... undefined.
(3) Comparing .... undefined.
(4) However, t.... undefined.

Another way to evaluate is treat it as Entailment Inference
From https://arxiv.org/pdf/2303.15621.pdf

We provide ChatGPT with the question including the source document and the corresponding generated summary and ask it to answer yes or no to infer the consistency between the source document and the corresponding generated summary, and then we collect the decisions from the outputs and aggregate the results

LLM-based summarization: A case study of human, Llama 2 70b and GPT-4 summarization quality
Summary: The search results provide a detailed case study of the quality of summarization by Llama 2 70b and GPT-4 compared to human legislative interns. The study involved a blind test of a legal expert who scored the summaries generated by the different authors. The results showed that GPT-4 outperformed both Llama 2 70b and human interns in summarizing legislative bills. The study also discussed the insights gained from GPT-4's superior performance, which were used to improve the Llama 2 70b prompt to enhance its quality. The study highlighted the challenges and potential biases in determining the authorship of the summaries, as well as the specific issues with the Llama 2 70b prompts. It also presented the modified prompt and the positive impact it had on the quality of the Llama 2 70b summaries. The study concluded that while GPT-4 outperformed Llama 2 70b and human interns, using GPT-4 to direct the improvement of Llama 2 70b's prompts led to an enhancement in the latter's quality.
The study provides valuable insights into the comparative performance of AI models and human interns in summarizing legislative bills, as well as the potential for using superior models to improve the performance of others.
The last question is: "Given that Llama 2 70b costs approximately 3% of what GPT-4 costs, is there a way we can improve the performance of Llama 2 70b?"
Citations:
[1] https://www.anyscale.com/blog/llm-based-summarization-a-case-study-of-human-llama-2-70b-and-gpt-4-summarization-quality#:~:text=TL%3BDR%3A In a blind test of a le

Evaluation and hallucination detection for abstracting summaries - https://eugeneyan.com/writing/abstractive/
https://github.com/eugeneyan/visualizing-finetunes - bootstrap on wiki summaries to detect news article hallucinations
Out-of-Domain Finetuning to Bootstrap Hallucination Detection - https://eugeneyan.com/writing/finetuning/

From rasbt post - Flan T5 is a great go to model for text classification.
Tiny titans - Can smaller LLM models punch above their weight for meeting summarization

Example prompt
Generate a concise, accurate, and relevant summary of the following KCS solution, maintaining fluency and consistency with the original content."

https://octo.ai/reduce-llm-costs-for-text-summarization-by-over-50-percent-with-mixtral-on-octoai

How to evaluate a summarization task - Openai cookbook https://cookbook.openai.com/examples/evaluation/how_to_eval_abstractive_summarization
Automated Evaluation using Rouge and Bertscore. Requires reference summary for doing the evaluation. Limitation: Misses nuanced aspects such as fluency, coherence etc. Human labeling is a bottleneck.
LLM based evaluation inspired from G-Eval incorporates reference free approach. Bottleneck is the Context window and could favor LLM generated snippets. Can be done at scale.

https://github.com/ibm-ecosystem-engineering/SuperKnowa - Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces. This repo is intended for IBM Ecosystem partners.
https://github.com/ibm-ecosystem-engineering/SuperKnowa/blob/main/Enterprise LLM Use Cases/3. Summarization/payload/summary-payload.json
User Prompt
```json
{
  "model_id": "google/flan-t5-xxl",
  "inputs": [],
  "parameters": {
    "decoding_method": "greedy",
    "temperature": 0.7,
    "top_p": 1,
    "top_k": 50,
    "min_new_tokens": 10,
    "max_new_tokens": 50
  }
}```

System Generated

The model_id field specifies the name of the LLM model that will be used for the summarization task. In this case, it is google/flan-t5-xxl, which is a large pre-trained model based on the T5 architecture.
The inputs field is an array that contains the input texts that need to be summarized. In this case, it is empty, which means that no input texts are provided yet.
The parameters field is an object that contains the hyperparameters that control the decoding process of the LLM model. These are:

The decoding_method field specifies the algorithm that will be used to generate the summary texts. In this case, it is greedy, which means that the model will choose the most probable token at each step.
The temperature field specifies the degree of randomness that will be applied to the token probabilities. A higher temperature means more diversity and creativity, while a lower temperature means more coherence and consistency. In this case, it is 0.7, which is a moderate value.
The top_p field specifies the probability mass that will be considered for sampling the next token. Only tokens with a cumulative probability less than or equal to this value will be sampled. In this case, it is 1, which means that all tokens will be considered.
The top_k field specifies the number of most probable tokens that will be considered for sampling the next token. Only tokens with a rank less than or equal to this value will be sampled. In this case, it is 50, which means that the model will choose from the top 50 tokens.
The min_new_tokens field specifies the minimum number of new tokens that will be added to the summary text at each decoding step. This can prevent the model from generating too short or repetitive summaries. In this case, it is 10, which means that the model will generate at least 10 new tokens at each step.
The max_new_tokens field specifies the maximum number of new tokens that will be added to the summary text at each decoding step. This can prevent the model from generating too long or verbose summaries. In this case, it is 50, which means that the model will generate at most 50 new tokens at each step.

I hope this helps you understand the json format better. If you have any other questions, feel free to ask me. 😊
: FLAN: A Flexible and Lightweight Attention Network for Few-Shot Natural Language Generation
: Text Generation with Transformers
: The Curious Case of Neural Text Degeneration
: The Power of Scale for Parameter-Efficient Prompt Tuning
: T5: Exploring the Limits of Transfer Learning with Text-to-Text Transformer

https://wandb.ai/mostafaibrahim17/ml-articles/reports/Compressing-the-Story-The-Magic-of-Text-Summarization--VmlldzozNTYxMjc2

Critical Dimensions for Snippet Generation's Data Annotation & Evaluation

[Relevance] Should be relevant and must directly address the user query or intent, hence may serve as a precise answer or summary of the content related to query.

Outcome: User Engagement / Self Serve / Self Solve

[Consistency] Should be factually consistent with the original content.

Outcome: Verifiability & Trust

[Conciseness] Should be brief, 1-2 sentences ranging from 50-165 character length.

Outcome: Fast Scannability

[Coherence] Should not only be short but provide information in logical structure & flow, synthesizing the main idea.

Outcome: Better synthesis of original content reducing user effort in decision making

[Fluency] Should be free of grammatical errors, misspellings etc.

Outcome: User comprehension of the content

[Voice]: Should avoid the first person voice and reflect a neutral tone.

Outcome: Focus on the information rather than author perspective.

Factscore

a new evaluation metric for assessing the factual precision of long-form text generated by large language models (LMs)
breaks down text generations into atomic facts and computes the percentage of atomic facts supported by a reliable knowledge source.
presents an automated model that estimates FActScore, reducing the need for extensive human evaluation.

Uptrain - LLM evaluation tool from this post

My benchmark for LLM post started by Andrej karpathy - Post

Chain of Density produces more dense and human preferable summaries than the vanilla GPT4
See latent space - llm paper club

https://huggingface.co/ibm/labradorite-13b

Summary of the Article:

The article is a model card for Labradorite-13b, a language model developed by IBM Research.
Labradorite-13b is based on the LLaMA-2-13b model and has been trained using the LAB (Large-scale Alignment for chatBots) methodology.
The model uses synthetic data for alignment tuning and was instructed by the Mixtral-8x7b-Instruct model.

Contributions:

Introduces a novel synthetic data-based alignment tuning method for large language models (LLMs).
Demonstrates the application of the LAB methodology in training a derivative of the LLaMA-2-13b model.
Utilizes a teacher model, Mixtral-8x7b-Instruct, to guide the training process of Labradorite-13b.

Implications:

The model has not been aligned to human preferences, which may result in problematic outputs[1].
It inherits the limitations and constraints of its base model, LLaMA-2, and other models in the Llama 2 family[1].
The approach taken for training Labradorite-13b could influence future methods for aligning LLMs with human preferences and reducing biases.

Suggested Related Papers:

"LLaMA: Open and Efficient Foundation Language Models" which is related to the base model LLaMA-13B[3].
"Metharme 13B" which is another instruct model based on Meta's LLaMA-13B, biased towards fiction writing and conversation[2].

Citations:
[1] https://huggingface.co/ibm/labradorite-13b
[2] https://huggingface.co/PygmalionAI/metharme-13b
[3] https://huggingface.co/dfurman/LLaMA-13B

https://x.com/eugeneyan/status/1764066697454182592?s=46&t=aOEVGBVv9ICQLUYL4fQHlQ
What are some good resources on LM evals for downstream tasks (classification, summarization, translation)? Some I found:
• HELM: arxiv.org/abs/2211.09110
• NLG Systems: arxiv.org/abs/2008.12009
• LLMs Evals: arxiv.org/abs/2307.03109
• SummEval: arxiv.org/abs/2007.12626
• Benching LLMs for summarization: arxiv.org/abs/2301.13848
• MachineTranslate: machinetranslate.org/metrics
• Evaluating ChatGPT extraction: arxiv.org/abs/2304.11633
• LLMs for Evals: arxiv.org/abs/2401.07103
Especially interested in classification, extraction, summarization, translation, copyright regurgitation, toxicity, etc

Chain of Density Prompting technique

GPT 4 Summarization with Chain of Density Prompting

Prompt Engineering Strategy - Split Complex tasks into Simpler tasks

Complex tasks is redefined as workflow of simpler tasks.
Outputs of earlier tasks used to construct the inputs to later tasks.

Summarize long documents piecewise and construct full summary recursively

No statistical significance on the performance impact of LLM on problem solving tasks when changing the sampling of temperature from 0.0 to 1.0.
Recommended to set 0.0 for maximal reproducibility without accuracy impact.
https://x.com/sergeykarayev/status/1810535376295243888?s=46&t=aOEVGBVv9ICQLUYL4fQHlQ

repo: manisnesan/fastchai


text:
[Dependency] Upgrades log symbol dependency to 0.0.13

Description of new feature, or changes

This PR upgrades log symbol dependency and also halo version to 0.0.25.
Checklist

[x] Your branch is up-to-date with the base branch
[ ] You've included at least one test if this is a new feature
[x] All tests are passing

Related Issues and Discussions

NA
People to notify

NA

Pull Request Test Coverage Report for Build 389

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 90.231%

Totals

Change from base Build 383:
0.0%

Covered Lines:
289

Relevant Lines:
313

💛  - Coveralls

Pull Request Test Coverage Report for Build 389

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 90.231%

Totals

Change from base Build 383:
0.0%

Covered Lines:
289

Relevant Lines:
313

💛  - Coveralls

Pull Request Test Coverage Report for Build 389

0 of 0   changed or added relevant lines in 0 files are covered.
No unchanged relevant lines lost coverage.
Overall coverage remained the same at 90.231%

Totals

Change from base Build 383:
0.0%

Covered Lines:
289

Relevant Lines:
313

💛  - Coveralls

authors: coveralls manrajgrover

repo: manrajgrover/halo


text:
ClassVar not supported?

Hello! Wondering if i'm doing something wrong.
I have a model with typing.ClassVars to indicate class, rather than instance attributes:
eg:
from pydantic import BaseModel
from abc import ABC
from typing import ClassVar, Type
from PySide2 import QtWidgets

class Input(BaseModel, ABC):
    """
    Metaclass to parametrically spawn a Qt Input widget for a given type.
   """
    # class variables set by subtypes
    widget: ClassVar[Type[QtWidgets.QWidget]] = None

This throws the following stack:
  File "./autodoc_pydantic/directives/options/composites.py", line 259, in wrapped
    result = func(*args, **kwargs)
  File "./autodoc_pydantic/directives/autodocumenters.py", line 539, in add_directive_header
    self.add_default_value_or_marker()
  File "./autodoc_pydantic/directives/autodocumenters.py", line 586, in add_default_value_or_marker
    if self.needs_required_marker:
  File "./autodoc_pydantic/directives/autodocumenters.py", line 549, in needs_required_marker
    is_required = self.pydantic.inspect.fields.is_required(field_name)
  File "./autodoc_pydantic/inspection.py", line 188, in is_required
    return self.get(field_name).required
  File "./autodoc_pydantic/inspection.py", line 137, in get
    return self.attribute[name]
KeyError: 'widget'

So it seems like it's being seen by the fields list, but not populated into the attributes dictionary? Not sure if this is a me thing, but if not lmk how I can help with a PR :)

The error occurs because autodoc_pydantic treats typing.ClassVar as a pydantic field which is not correct. This is similar to #128. A fix will be available soon.

thank you! sorry i don't have any time to help out with the patch at the moment.

This bug is addressed via #130 .
Before merging the related PR, it would be great if you could test the bugfix on your site. To do so, please install the current dev release in your doc-building-environment via pip install git+https://github.com/mansenfranzen/autodoc_pydantic.git@v1.7.2-a.1 and rebuild your docs.

you are too sweet :)

authors: mansenfranzen sneakers-the-rat


text:
Search API not working

Describe the bug
Unable to search for and play songs with Jellyfin version 10.9.11
To Reproduce
Steps to reproduce the behavior:

Open Logs
Attempt to request song from discord /play command
read: "ERROR [JellyfinSearchService] Failed to search on Jellyfin: Error: SearchHints were undefined" in the logs

Expected behavior
Search for and play the song

Please post your logs

[Nest] 28  - 10/11/2024, 8:35:37 AM     LOG [NestApplication] Nest application successfully started +448ms
[Nest] 28  - 10/11/2024, 8:36:18 AM     LOG [RegisterCommandService] All global commands are registered!
[Nest] 28  - 10/11/2024, 8:36:30 AM   ERROR [JellyfinSearchService] Failed to search on Jellyfin: Error: SearchHints were undefined
[Nest] 28  - 10/11/2024, 8:36:32 AM   ERROR [JellyfinSearchService] Failed to search on Jellyfin: Error: SearchHints were undefined

I'm not sure what logs you want but this is what I'm seeing. I appreciate the help.

I can not reproduce this issue. Search works for me. Can you post your environment variables but censor both Discord API token, Jellyfin username and Jellyfin password? Thank you.

What version of Jellyfin are you using? I'm on the Docker container version from Binhex.

I did install the official container for Jellyfin and had the same issue of search hints undefined.

What Jellyfin version do you use? It doesn't matter which image you use. Do you have a reverse proxy in front? Any errors in Jellyfin?

Version 10.9.11
No reverse proxy
No errors in Jellyfin
These are hosted on the same machine. Both using bridge network.

These are hosted on the same box with docker and both are using the bridge network. Could that be the issue?

authors: manuel-rw strykarwolf

repo: manuel-rw/jellyfin-discord-music-bot


text:
Show filtered summits on map with a faint icon

When filtering the map view by "not activated by", instead of completely hiding the already activated summits, show them discretely with an empty dotted circle or other faint marker.
This would be useful for easier map interpretation and for identifying re-activation opportunities of nearby summits when planning an activation trip. Particularly useful when the callsign has activated a number of summits in a year causing an area of the map to become quite empty.
And, perhaps the inverse arrangement for the 'Activated By' search option.
Interested to hear what others think, but I have thought this would be useful for some time now.

Good idea – done!

repo: manuelkasper/sotlas-frontend


text:
Feature/Issue: AWSDate Type Serialization Issue with Override Decorator

Description:
When using the AWSDate type inside the override decorator /// @gql(scalars: { asOfDate: "AWSDate" }), the package struggles with correctly serializing from an ISO8601 DateTime to a Date.
Expected Behavior:

When the AWSDate type is employed, I anticipate an automatic conversion that adapts the Date object (as given by Prisma) into an appropriate format compatible with AWSDate.
The filter functionality for this field should mirror the behavior observed with DateTime. Currently, it defaults to a StringFilter, which is inconsistent with expected behavior.

Schema Model Field:
asOfDate              DateTime          @db.Date @map("as_of_date")

Relevant Screenshot:

The date format issue you're facing is due to Prisma Client. It always returns dates as DateTime, regardless of the database format used. Here are some open issues about it:
https://github.com/prisma/prisma/issues/7490
https://github.com/prisma/prisma/issues/4355
Prisma-AppSync only acts as a bridge that connects Prisma to AWS AppSync and doesn't alter the data. Supporting AWSDate like AWSDateTime can only happen after the Prisma team fixes this issue.
For your use case, I would suggest removing /// @gql(scalars: { asOfDate: "AWSDate" }) entirely, so the generated GraphQL field will fallback to AWSDateTime (similar format to Prisma Client). Even though the format returned will be a DateTime, it should still save as Date in your Database.

Hi @maoosi , Thanks for the response on this! I am aware of the Prisma issue which I dont think they will ever fix so thought it could be handled in this package potentially.
Although, I agree it is not an issue with this package!
We have a solution for this using the prisma middleware or extensions, is there anyway of overriding the prisma client in prisma-appsync that would allow us to carry over our extensions?

@d-e-a-n-f yes, absolutely! You can access the underlying Prisma Client instance like this:
// init prisma-appsync
const prismaAppSync = new PrismaAppSync()

// middleware
prismaAppSync.prismaClient.$use(async (params, next) => {
    return next(params)
})

// lambda resolver
export const main = async (event: AppSyncResolverEvent<any>) => {
    return await prismaAppSync.resolve({ event })
}

authors: d-e-a-n-f maoosi

repo: maoosi/prisma-appsync


text:
Upgrade to map SDK v4.0.0

This project should be upgraded to use map SDK v4.0.0. Upgrading will primarily entail rewriting occurrences of MGLStyleValue to NSExpression.
/cc @jmkiley

https://github.com/mapbox/mapbox-plugins-ios/pull/21

repo: mapbox/mapbox-plugins-ios

license: ISC


text:
Travis fails for NODE_VERSION="5" COVERAGE=true PUBLISHABLE=false on OS X

Seems like
- if [[ ${COVERAGE} == true ]]; then
     if [[ $(uname -s) == 'Linux' ]]; then
       PYTHONUSERBASE=$(pwd)/py-local pip install --user cpp-coveralls;
     else
       PYTHONUSERBASE=$(pwd)/py-local easy_install --user cpp-coveralls;
     fi;
   fi

is the problem. Travis CI logs following error:
Creating /Users/travis/build/mapbox/node-sqlite3/py-local/lib/python/site-packages/site.py
Searching for cpp-coveralls
Reading https://pypi.python.org/simple/cpp-coveralls/
Download error on https://pypi.python.org/simple/cpp-coveralls/: [SSL: TLSV1_ALERT_PROTOCOL_VERSION] tlsv1 alert protocol version (_ssl.c:590) -- Some packages may not be found!

Stackoverflow says we should update pip to fix that issue.

This is fixed now in master thanks to @kewde

authors: Nostradamos springmeyer


text:
Added ability to transform field names in generated code

This PR adds ability to transform field names in generated code. This can be useful to follow coding standards: for example field names in schema can be underscored while JS coding standard prefer camel cased fields. Also this can help in situations when you need to convert fields names for some tricky use cases.

@html-krit Sorry I mis-understood the implementation. This works at compile time to change the field names. I think we should still kill the dependency to Camelcase thoughts.
@mourner How do you feel about this change. Is it something you'd accept in the main repository?

My two cents is that is better handled outside of pbf. We also do a transform for snake_case to camelCase, but we do on the object returned from protobuf-schema.

@kjvalencik nice idea. But I think better to include this to pfb, because nobody share their best practices =( Or include this practice to wiki.

BTW thx for maps 👍

I think there is a benefit for this being done before load time. We could post process the generated files but that in my opinion will be uglier and less flexible than having a processor here in the compile step.
I reckon I'd still prefer this in PBF as it's cleaner for the developer in my opinion and also it's fully backwards compatible change. If you don't provide a callback nothing should change.

@edbo I agree, it's not great to post-process the generated field. However, you can do a similar thing to this PR (pre-process the protobuf schema) before passing it to this library. Here is what we use:
const hasOwnProperty = (o, k) => Object.hasOwnProperty.call(o, k);

export function transformField(field) {
	// Regex turns snake_case to camelCase
	return {
		...field,
		name: field.name.replace(/(_\w)/g, (m, x, i) => (i ? m[1].toUpperCase() : m))
	};
}

export function transformEnumValue(value) {
	// Simplify the new "options" containing enum to a value
	if (typeof value === 'object' && hasOwnProperty(value, 'value')) {
		return value.value;
	}

	return value;
}

export function transformEnum(enumeration) {
	return {
		...enumeration,
		values: Object.keys(enumeration.values).reduce((acc, key) => ({
			[key]: transformEnumValue(enumeration.values[key]),
			...acc
		}), {})
	};
}

export function transformMessage(message) {
	return {
		...message,
		enums: message.enums.map(transformEnum),
		messages: message.messages.map(transformMessage),
		fields: message.fields.map(transformField)
	};
}

export default function transformSchema(schema) {
	return {
		...schema,
		enums: schema.enums.map(transformEnum),
		messages: schema.messages.map(transformMessage)
	};
}

import compile from 'pbf/compile';
import resolve from 'resolve-protobuf-schema';

import transform from './transform-proto';

const schema = transform(resolve.sync(protoFile));
const proto = compile(schema);

If this was built into a library, I feel that it's a better fit for protocol-buffers-schema. At the very least, I don't think this code belongs mixed in with the code generation code, which is already pretty complex.

@html-krit Suggest we close this since we've found a better.

authors: edbo html-krit kjvalencik

repo: mapbox/pbf


text:
'Where' parameter documentation

Not sure how to search using additional filtering parameters (both syntax and which parameters can be queried on):
from usgs import api

where = {'WRS Path': '043'}
api.search('LANDSAT_8', 'EE',  where=where, start_date='2015-04-01', end_date='2015-05-01', max_results=10, extended=True)

usgs.USGSError: Could not complete search request: Failed to append additional criteria to query.

@drewbo - I added info to the api.search docstring, and included an example in the documentation.
Additional info is at https://github.com/mapbox/usgs/issues/16#issuecomment-89053631
The where parameter is non-intuitive as it depends on knowing some wonky codes associated with each queryable field. The CLI abstracts the need to know these codes, though it does assume you know which fields are queryable. This comes at the cost of an additional request to the dataset-fields endpoint, something that I'd like to leave out when using api.search.

Awesome. Thanks a bunch; confusing codes but the additions and examples are really helpful.

Cool. Let me know if you can think of a way to make it more intuitive. One thought, was to store a mapping of codes to fields within the package, but I worry that field codes are not static.

authors: drewbo kapadia

repo: mapbox/usgs

license: isc


text:
Bump gh-pages to 0.0.11

Updated the gh-pages with the changes from 0.0.10 and #11. As this assumes, that #11 gets merged, I skipped a version-number.
Changes:

Updated examples.html, _examples.scss and shapes.html
Removed font-files that are no longer necessary
Added an animation to the example-signs on the landing page

Thank you!

authors: floscher knikel

repo: mapillary/traffico


text:
[ANDROID] Test Failure GLSurfaceViewReopenTest

Describe the bug
When running All Tests on Medium Phone API29 (and others), GLSurfaceViewReopenTest fails (even crashes)
(note that this is part of an 'initial build & test` run of a newcomer)

Click to see log
--------- beginning of crash
12-06 12:37:26.675  5130  6805 F libc    : P:/maplibre/native/src/mbgl/gl/uniform_block_gl.cpp:15: virtual void mbgl::gl::UniformBlockGL::bindBuffer(const gfx::UniformBuffer &): assertion "size == uniformBuffer.getSize()" failed
12-06 12:37:26.675  5130  6805 F libc    : Fatal signal 6 (SIGABRT), code -1 (SI_QUEUE) in tid 6805 (GLThread 433), pid 5130 (aplibre.testapp)
12-06 12:37:26.695  2379  7921 I GmsModuleFndr: Beginning GMS chimera module scan
12-06 12:37:26.698  2379  7921 I ModuleSetMgr: Computing pending module set with APKs: {file:///system/product/priv-app/PrebuiltGmsCore/PrebuiltGmsCore.apk}
12-06 12:37:26.707  2379  8573 I ModuleSetUtils: Assembling ModuleSetRecord for container:17786: []
12-06 12:37:26.707  2379  8573 I ModuleSetMgr: Pending container Zapp APKs: []
12-06 12:37:26.708  2379  8573 I ModuleSetMgr: Pending non-container Zapp APKs: []
12-06 12:37:26.721  2379  7921 I ModuleSetUtils: Assembling ModuleSetRecord for container:17786: []
12-06 12:37:26.721  2379  7921 I ModuleSetMgr: Pending container Zapp APKs: []
12-06 12:37:26.721  2379  7921 I ModuleSetMgr: Pending non-container Zapp APKs: []
12-06 12:37:26.744  2379  8783 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:26.750  2379  7912 I MobileDataHub: Scheduling periodic tasks
12-06 12:37:26.752  2379  8573 I ModuleSetUtils: Assembling ModuleSetRecord for container:17786+vision.ocr,maps:20151200: [zapp:/VisionOcr.optional/17786000700, zapp:/MapsDynamite.integ/201512001000000]
12-06 12:37:26.774  2379  3322 W MobileDataHub: [Service] appsupload-periodic periodic task disabled
12-06 12:37:26.802  9287  9319 I Bugle   : GServicesValues:
12-06 12:37:26.802  9287  9319 I Bugle   : bugle_enable_primes_crash_metrics: true
12-06 12:37:26.802  9287  9319 I Bugle   : bugle_max_telemetry_upload_retries: 10
12-06 12:37:26.802  9287  9319 I Bugle   : bugle_sticker_set_list_version: 3
12-06 12:37:26.834  2049  3914 I LocationAccessPolicy: Allowing com.google.android.apps.messaging fine because it doesn't target API 29 yet. Please fix this app. Called from TelephonyRegistry push
12-06 12:37:26.846  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:26.858  2379  7912 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:26.858  1796  2469 E GnssHAL_GnssInterface: gnssSvStatusCb: a: input svInfo.flags is 8
12-06 12:37:26.858  1796  2469 E GnssHAL_GnssInterface: gnssSvStatusCb: b: input svInfo.flags is 8
12-06 12:37:26.895  9287  9287 D FirebaseApp: com.google.firebase.auth.FirebaseAuth is not linked. Skipping initialization.
12-06 12:37:26.895  9287  9287 D FirebaseApp: com.google.firebase.crash.FirebaseCrash is not linked. Skipping initialization.
12-06 12:37:26.898  8663  9329 D DownloadManager: [15] Starting
12-06 12:37:26.904  2379  7597 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:26.904  2379  5226 D CAR.SETUP: Received Car Phenotype committed intent.
12-06 12:37:26.914  9287  9287 I FirebaseInitProvider: FirebaseApp initialization successful
12-06 12:37:26.963  8663  9329 D NetworkSecurityConfig: No Network Security Config specified, using platform default
12-06 12:37:26.975  8663  9329 D NetworkSecurityConfig: No Network Security Config specified, using platform default
12-06 12:37:26.988  9287  9287 I Bugle   : Initializing EmojiCompat
12-06 12:37:26.993  9287  9287 I Bugle   : BugleApplicationBase: Bugle version: 4.1.067 (ettin_rc12_alldpi.x86.phone)
12-06 12:37:27.001  9287  9287 I Bugle   : DarkModeUtilImpl: Setting system dark mode to off
12-06 12:37:27.004  9287  9287 W PrimesInit: Primes instant initialization
12-06 12:37:27.028  2049  3955 D WificondControl: Scan result ready event
12-06 12:37:27.042  9287  9354 W Primes  : background initialization
12-06 12:37:27.042  2379  4499 I FontsContentProvider: Received query Noto Color Emoji Compat, URI content://com.google.android.gms.fonts
12-06 12:37:27.043  2379  4499 I FontsContentProvider: Query [Noto Color Emoji Compat] resolved to {Noto Color Emoji Compat, wdth 100.0, wght 400, ital 0.0, bestEffort false}
12-06 12:37:27.084  9324  9324 I crash_dump32: obtaining output fd from tombstoned, type: kDebuggerdTombstone
12-06 12:37:27.096  1891  1891 I /system/bin/tombstoned: received crash request for pid 6805
12-06 12:37:27.100  9324  9324 I crash_dump32: performing dump of process 5130 (target tid = 6805)
12-06 12:37:27.113  9324  9324 F DEBUG   : *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
12-06 12:37:27.113  9324  9324 F DEBUG   : Build fingerprint: 'google/sdk_gphone_x86/generic_x86:10/QSR1.190920.001/5891938:user/release-keys'
12-06 12:37:27.113  9324  9324 F DEBUG   : Revision: '0'
12-06 12:37:27.113  9324  9324 F DEBUG   : ABI: 'x86'
12-06 12:37:27.124  2379  8573 I Vision  : Requesting optional module download of ocr.
12-06 12:37:27.125  2379  8573 I Vision  : Checking for download completion for 179698 -- ocr
12-06 12:37:27.146  2379  4499 I FontsContentProvider: Fetch {Noto Color Emoji Compat, wdth 100.0, wght 400, ital 0.0, bestEffort false} end status Status{statusCode=SUCCESS, resolution=null}
12-06 12:37:27.163  9287  9354 I PrimesTesting: GserviceFlagsSupplier.get()
12-06 12:37:27.169  9324  9324 F DEBUG   : Timestamp: 2023-12-06 12:37:27+0200
12-06 12:37:27.170  9324  9324 F DEBUG   : pid: 5130, tid: 6805, name: GLThread 433  >>> org.maplibre.testapp <<<
12-06 12:37:27.170  9324  9324 F DEBUG   : uid: 10135
12-06 12:37:27.170  9324  9324 F DEBUG   : signal 6 (SIGABRT), code -1 (SI_QUEUE), fault addr --------
12-06 12:37:27.170  9324  9324 F DEBUG   : Abort message: 'P:/maplibre/native/src/mbgl/gl/uniform_block_gl.cpp:15: virtual void mbgl::gl::UniformBlockGL::bindBuffer(const gfx::UniformBuffer &): assertion "size == uniformBuffer.getSize()" failed'
12-06 12:37:27.170  9324  9324 F DEBUG   :     eax 00000000  ebx 0000140a  ecx 00001a95  edx 00000006
12-06 12:37:27.170  9324  9324 F DEBUG   :     edi ee90a33e  esi bd58e4b0
12-06 12:37:27.170  9324  9324 F DEBUG   :     ebp f1f73ad0  esp bd58e458  eip f1f73ad9
12-06 12:37:27.179  2379  8577 E MS_DownloadManager: Unsupported Matchstick Download Type:
12-06 12:37:27.179  2379  8577 E MS_DownloadManager: Failed to get download uri for unsupported Matchstick download type:
12-06 12:37:27.288  1824  1824 E lowmemorykiller: Kill 'com.android.vending' (9075), uid 10094, oom_adj 905 to free 51412kB
12-06 12:37:27.288  1824  1824 I lowmemorykiller: Reclaimed 51412kB, cache(146060kB) and free(147696kB)-reserved(104336kB) below min(147456kB) for oom_adj 900
12-06 12:37:27.288  1824  1824 I lowmemorykiller: Suppressed 78 failed kill reports
12-06 12:37:27.295  9287  9287 I Bugle   : Carrier config changed. Reloading MMS config.
12-06 12:37:27.318  2379  2394 I gle.android.gm: Background young concurrent copying GC freed 95102(4520KB) AllocSpace objects, 9(668KB) LOS objects, 20% free, 10MB/13MB, paused 491us total 296.113ms
12-06 12:37:27.337  1777  1777 I Zygote  : Process 9075 exited due to signal 9 (Killed)
12-06 12:37:27.343  1824  1824 I lowmemorykiller: 6 memory pressure events were skipped after a kill!
12-06 12:37:27.357  2049  2078 I libprocessgroup: Successfully killed process cgroup uid 10094 pid 9075 in 41ms
12-06 12:37:27.358  9287  9319 D NetworkSecurityConfig: No Network Security Config specified, using platform default
12-06 12:37:27.360  2379  2402 I FontsContentProvider: Pulling font file for id = 9, cache size = 7
12-06 12:37:27.364  8663  9024 V DownloadManager: Deleting /data/data/com.android.providers.downloads/files/ocr_x86.zip via provider delete
12-06 12:37:27.416  9287  9319 D ExpressiveStickerClient: Clear metadata cache.
12-06 12:37:27.478  2379  2402 I FontsContentProvider: Pulling font file for id = 9, cache size = 7
12-06 12:37:27.577  2379  7921 E DowngradeHelper: isModuleDowngradeRequired false
12-06 12:37:27.581  9324  9324 F DEBUG   :
12-06 12:37:27.581  9324  9324 F DEBUG   : backtrace:
12-06 12:37:27.581  9324  9324 F DEBUG   :       #00 pc 00000ad9  [vdso] (__kernel_vsyscall+9)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #01 pc 00092328  /apex/com.android.runtime/lib/bionic/libc.so (syscall+40) (BuildId: 76290498408016ad14f4b98c3ab6c65c)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #02 pc 000ad651  /apex/com.android.runtime/lib/bionic/libc.so (abort+193) (BuildId: 76290498408016ad14f4b98c3ab6c65c)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #03 pc 000adb88  /apex/com.android.runtime/lib/bionic/libc.so (__assert2+56) (BuildId: 76290498408016ad14f4b98c3ab6c65c)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #04 pc 01b341f3  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #05 pc 01ade0f9  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #06 pc 01add4c8  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #07 pc 01ae72f3  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #08 pc 01ae5ced  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #09 pc 01ae590a  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #10 pc 01482e58  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #11 pc 01482dab  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #12 pc 01481747  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #13 pc 0147ff68  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #14 pc 01479b2d  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #15 pc 00d94887  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (mbgl::android::MapRenderer::render(_JNIEnv&)+503) (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #16 pc 00da510b  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (_ZZN3jni30NativePeerMemberFunctionMethodIMN4mbgl7android11MapRendererEFvR7_JNIEnvEXadL_ZNS3_6renderES5_EEEclIS3_S3_vEEDaRKNS_5FieldIT0_xEEENKUlS5_RNS_6ObjectIS3_EEE_clES5_SH_+171) (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.581  9324  9324 F DEBUG   :       #17 pc 00da5000  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (_ZZN3jni17NativeMethodMakerIMZNS_30NativePeerMemberFunctionMethodIMN4mbgl7android11MapRendererEFvR7_JNIEnvEXadL_ZNS4_6renderES6_EEEclIS4_S4_vEEDaRKNS_5FieldIT0_xEEEUlS6_RNS_6ObjectIS4_EEE_KFvS6_SI_EJEEclISJ_EEDaPKcRKT_ENKUlPS5_PNS_7jobjectEE_clEST_SV_+128) (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #18 pc 00da4f6e  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (_ZZN3jni17NativeMethodMakerIMZNS_30NativePeerMemberFunctionMethodIMN4mbgl7android11MapRendererEFvR7_JNIEnvEXadL_ZNS4_6renderES6_EEEclIS4_S4_vEEDaRKNS_5FieldIT0_xEEEUlS6_RNS_6ObjectIS4_EEE_KFvS6_SI_EJEEclISJ_EEDaPKcRKT_ENUlPS5_PNS_7jobjectEE_8__invokeEST_SV_+46) (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #19 pc 00da51e4  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (_ZZN3jni16MakeNativeMethodIZNS_17NativeMethodMakerIMZNS_30NativePeerMemberFunctionMethodIMN4mbgl7android11MapRendererEFvR7_JNIEnvEXadL_ZNS5_6renderES7_EEEclIS5_S5_vEEDaRKNS_5FieldIT0_xEEEUlS7_RNS_6ObjectIS5_EEE_KFvS7_SJ_EJEEclISK_EEDaPKcRKT_EUlPS6_PNS_7jobjectEE_EEDaSQ_SQ_ST_PNSt6__ndk19enable_ifIXsr3std8is_classISR_EE5valueEvE4typeEENKUlSU_DpT_E_clIJSW_EEEDaSU_S14_+68) (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #20 pc 00da518e  /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/lib/x86/libmapbox-gl.so (_ZZN3jni16MakeNativeMethodIZNS_17NativeMethodMakerIMZNS_30NativePeerMemberFunctionMethodIMN4mbgl7android11MapRendererEFvR7_JNIEnvEXadL_ZNS5_6renderES7_EEEclIS5_S5_vEEDaRKNS_5FieldIT0_xEEEUlS7_RNS_6ObjectIS5_EEE_KFvS7_SJ_EJEEclISK_EEDaPKcRKT_EUlPS6_PNS_7jobjectEE_EEDaSQ_SQ_ST_PNSt6__ndk19enable_ifIXsr3std8is_classISR_EE5valueEvE4typeEENUlSU_DpT_E_8__invokeIJSW_EEEDaSU_S14_+46) (BuildId: 1d93c0ea0963c040a871f3ce5d42f9074eb79fde)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #21 pc 00144f67  /apex/com.android.runtime/lib/libart.so (art_quick_generic_jni_trampoline+71) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #22 pc 0013e7d2  /apex/com.android.runtime/lib/libart.so (art_quick_invoke_stub+338) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #23 pc 00149a69  /apex/com.android.runtime/lib/libart.so (art::ArtMethod::Invoke(art::Thread*, unsigned int*, unsigned int, art::JValue*, char const*)+281) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #24 pc 00332502  /apex/com.android.runtime/lib/libart.so (art::interpreter::ArtInterpreterToCompiledCodeBridge(art::Thread*, art::ArtMethod*, art::ShadowFrame*, unsigned short, art::JValue*)+386) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #25 pc 0032c19c  /apex/com.android.runtime/lib/libart.so (bool art::interpreter::DoCall<false, false>(art::ArtMethod*, art::Thread*, art::ShadowFrame&, art::Instruction const*, unsigned short, art::JValue*)+988) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #26 pc 0068433c  /apex/com.android.runtime/lib/libart.so (MterpInvokeDirect+700) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #27 pc 00138921  /apex/com.android.runtime/lib/libart.so (mterp_op_invoke_direct+33) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #28 pc 00004906  [anon:dalvik-classes6.dex extracted in memory from /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/base.apk!classes6.dex] (org.maplibre.android.maps.renderer.MapRenderer.onDrawFrame+30)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #29 pc 0068299c  /apex/com.android.runtime/lib/libart.so (MterpInvokeSuper+2460) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #30 pc 001388a1  /apex/com.android.runtime/lib/libart.so (mterp_op_invoke_super+33) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #31 pc 000081c8  [anon:dalvik-classes7.dex extracted in memory from /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/base.apk!classes7.dex] (org.maplibre.android.maps.renderer.glsurfaceview.GLSurfaceViewMapRenderer.onDrawFrame+8)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #32 pc 002f8e0a  /apex/com.android.runtime/lib/libart.so (_ZN3art11interpreterL7ExecuteEPNS_6ThreadERKNS_20CodeItemDataAccessorERNS_11ShadowFrameENS_6JValueEbb.llvm.12194892193087984976+298) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #33 pc 002ffcc5  /apex/com.android.runtime/lib/libart.so (art::interpreter::EnterInterpreterFromEntryPoint(art::Thread*, art::CodeItemDataAccessor const&, art::ShadowFrame*)+181) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #34 pc 0066fbd9  /apex/com.android.runtime/lib/libart.so (artQuickToInterpreterBridge+1209) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #35 pc 0014503d  /apex/com.android.runtime/lib/libart.so (art_quick_to_interpreter_bridge+77) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #36 pc 0206ac3a  /memfd:/jit-cache (deleted) (org.maplibre.android.maps.renderer.glsurfaceview.MapLibreGLSurfaceView$GLThread.guardedRun+4970)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #37 pc 0013e7d2  /apex/com.android.runtime/lib/libart.so (art_quick_invoke_stub+338) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #38 pc 00149a69  /apex/com.android.runtime/lib/libart.so (art::ArtMethod::Invoke(art::Thread*, unsigned int*, unsigned int, art::JValue*, char const*)+281) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #39 pc 00332502  /apex/com.android.runtime/lib/libart.so (art::interpreter::ArtInterpreterToCompiledCodeBridge(art::Thread*, art::ArtMethod*, art::ShadowFrame*, unsigned short, art::JValue*)+386) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #40 pc 0032c19c  /apex/com.android.runtime/lib/libart.so (bool art::interpreter::DoCall<false, false>(art::ArtMethod*, art::Thread*, art::ShadowFrame&, art::Instruction const*, unsigned short, art::JValue*)+988) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #41 pc 0068433c  /apex/com.android.runtime/lib/libart.so (MterpInvokeDirect+700) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #42 pc 00138921  /apex/com.android.runtime/lib/libart.so (mterp_op_invoke_direct+33) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #43 pc 0000a098  [anon:dalvik-classes7.dex extracted in memory from /data/app/org.maplibre.testapp-YL0eKS4EzcxRszfbMHD2zQ==/base.apk!classes7.dex] (org.maplibre.android.maps.renderer.glsurfaceview.MapLibreGLSurfaceView$GLThread.run+68)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #44 pc 002f8e0a  /apex/com.android.runtime/lib/libart.so (_ZN3art11interpreterL7ExecuteEPNS_6ThreadERKNS_20CodeItemDataAccessorERNS_11ShadowFrameENS_6JValueEbb.llvm.12194892193087984976+298) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #45 pc 002ffcc5  /apex/com.android.runtime/lib/libart.so (art::interpreter::EnterInterpreterFromEntryPoint(art::Thread*, art::CodeItemDataAccessor const&, art::ShadowFrame*)+181) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #46 pc 0066fbd9  /apex/com.android.runtime/lib/libart.so (artQuickToInterpreterBridge+1209) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #47 pc 0014503d  /apex/com.android.runtime/lib/libart.so (art_quick_to_interpreter_bridge+77) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #48 pc 0013e7d2  /apex/com.android.runtime/lib/libart.so (art_quick_invoke_stub+338) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #49 pc 00149a69  /apex/com.android.runtime/lib/libart.so (art::ArtMethod::Invoke(art::Thread*, unsigned int*, unsigned int, art::JValue*, char const*)+281) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #50 pc 0055a513  /apex/com.android.runtime/lib/libart.so (art::(anonymous namespace)::InvokeWithArgArray(art::ScopedObjectAccessAlreadyRunnable const&, art::ArtMethod*, art::(anonymous namespace)::ArgArray*, art::JValue*, char const*)+99) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #51 pc 0055b91a  /apex/com.android.runtime/lib/libart.so (art::InvokeVirtualOrInterfaceWithJValues(art::ScopedObjectAccessAlreadyRunnable const&, _jobject*, _jmethodID*, jvalue const*)+474) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #52 pc 005aaa51  /apex/com.android.runtime/lib/libart.so (art::Thread::CreateCallback(void*)+1585) (BuildId: 895645e5113da057f27d9b2ec11eb3bf)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #53 pc 0011a8e5  /apex/com.android.runtime/lib/bionic/libc.so (__pthread_start(void*)+53) (BuildId: 76290498408016ad14f4b98c3ab6c65c)
12-06 12:37:27.582  9324  9324 F DEBUG   :       #54 pc 000af6a7  /apex/com.android.runtime/lib/bionic/libc.so (__start_thread+71) (BuildId: 76290498408016ad14f4b98c3ab6c65c)
12-06 12:37:27.609  2379  7921 E ConfigFileUtils: Failed to read config file: /data/user_de/0/com.google.android.gms/app_chimera/current_modules_init.pb: open failed: ENOENT (No such file or directory)
12-06 12:37:27.655  2379  7921 I ChimeraCfgMgr: Sending com.google.android.chimera.IntentOperation.NEW_MODULE Intents: 1,false,true
12-06 12:37:27.670  9287  9320 W native  : cpu_feature_guard.cc:35 The TensorFlow library was compiled to use SSE instructions, but these aren't available on your machine.
12-06 12:37:27.670  9287  9320 W native  : cpu_feature_guard.cc:35 The TensorFlow library was compiled to use SSE2 instructions, but these aren't available on your machine.
12-06 12:37:27.670  9287  9320 W native  : cpu_feature_guard.cc:35 The TensorFlow library was compiled to use SSE3 instructions, but these aren't available on your machine.
12-06 12:37:27.671  9287  9320 W native  : commandlineflags.cc:976 Ignoring RegisterValidateFunction() for flag pointer 0xc39f2c7c: no flag found at that address
12-06 12:37:27.672  2379  5226 I CAR.SETUP: update Car DrivingMode components to false
12-06 12:37:27.691  2379  5226 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:27.693  2379  7921 I ChmraDebugLogger: [46] container-only:17786
12-06 12:37:27.715  2379  7597 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:27.723  2379  7912 I ChimeraCfgMgr: Received com.google.android.chimera.IntentOperation.NEW_MODULE(1/0): 1,false
12-06 12:37:27.755  9287  9362 W Bugle   : BuglePhoneNumberUtils: canonicalizeMccMnc: invalid mccmnc. mcc: null, mnc: null
12-06 12:37:27.759  2379  7921 I ModuleSetUtils: Assembling ModuleSetRecord for container:17786+vision.ocr,maps:20151200: [zapp:/VisionOcr.optional/17786000700, zapp:/MapsDynamite.integ/201512001000000]
12-06 12:37:27.762  2379  8573 I ModuleSetUtils: Assembling ModuleSetRecord for container:17786+vision.ocr,maps:20151200: [zapp:/VisionOcr.optional/17786000700, zapp:/MapsDynamite.integ/201512001000000]
12-06 12:37:27.764  9287  9320 W native  : commandlineflags.cc:976 Ignoring RegisterValidateFunction() for flag pointer 0xc31ef9ec: no flag found at that address
12-06 12:37:27.779  9287  9362 I Bugle   : Carrier configs loaded: Bundle[{carrier_volte_provisioned_bool=false, disable_charge_indication_bool=false, support_tdscdma_bool=false, httpSocketTimeout=60000, call_redirection_service_component_name_string=null, carrier_wfc_supports_wifi_only_bool=true, carrier_default_actions_on_default_network_available_string_array=[false: 7, true: 8], operator_selection_expand_bool=true, disable_cdma_activation_code_bool=false, simplified_network_settings_bool=false, support_tdscdma_roaming_networks_string_array=null, gps.lpp_profile=0, call_barring_visibility_bool=false, gps.es_extension_sec=0, enable_apps_string_array=null, carrier_default_wfc_ims_roaming_enabled_bool=true, cdma_nonroaming_networks_string_array=null, aliasMinChars=2, wfc_data_spn_format_idx_int=0, hide_sim_lock_settings_bool=false, drop_video_call_when_answering_audio_call_bool=false, ci_action_on_sys_update_bool=false, convert_cdma_caller_id_mmi_codes_while_roaming_on_3gpp_bool=false, support_enhanced_call_blocking_bool=true, vvm_port_number_int=1808, carrier_default_wfc_ims_enabled_bool=false, dial_string_replace_string_array=null, opportunistic_network_entry_threshold_bandwidth_int=1024, gsm_nonroaming_networks_string_array=null, hide_ims_apn_bool=false, vvm_destination_number_string=122, dtmf_type_enabled_bool=false, allow_video_calling_fallback_bool=true, config_ims_package_override_string=com.google.android.ims, only_auto_select_in_home_network=false, smsToMmsTextThreshold=-1, disable_severe_when_extreme_disabled_bool=true, force_home_network_bool=false, spdi_override_string_array=null, show_wfc_location_privacy_policy_bool=false, gps.supl_es=1, enableSMSDeliveryReports=true, auto_retry_enabled_bool=false, opportunistic_network_entry_threshold_rssnr_int=45, play_call_recording_tone_bool=false, carrier_force_disable_etws_cmas_test_bool=false, call_waiting_service_class_int=1, allow_emergency_video_calls_bool=false, csp_enabled_bool=false, default_sim_call_manager_string=, wifi.passpoint_profiles_string_array=null, carrier_app_required_during_setup_bool=false, call_forwarding_blocks_while_roaming_string_array=null, emergency_notification_delay_int=-1, support_video_conference_call_bool=false, ims_dtmf_tone_delay_int=0, show_signal_strength_in_sim_status_bool=true, data_rapid_notification_bool=true, carrier_instant_lettering_escaped_chars_string=, carrier_default_wfc_ims_roaming_mode_int=2, editable_wfc_mode_bool=true, support_direct_fdn_dialing_bool=false, carrier_ut_provisioning_required_bool=false, carrier_wifi_string_array=null, treat_downgraded_video_calls_as_video_calls_bool=false, wifi_calls_can_be_hd_audio=true, support_downgrade_vt_to_audio_bool=true, cdma_enhanced_roaming_indicator_for_home_network_int_array=[1], notify_handover_video_from_lte_to_wifi_bool=false, use_otasp_for_provisioning_bool=false, always_play_remote_hold_tone_bool=false, opportunistic_network_data_switch_hysteresis_time_long=10000, maxMessageTextSize=-1, duration_blocking_disabled_after_emergency_int=7200, carrier_metered_roaming_apn_types_strings=[default, mms, dun, supl], additional_settings_call_waiting_visibility_bool=true, show_video_call_charges_alert_dialog_bool=false, carrier_network_service_wlan_package_override_string=, show_apn_setting_cdma_bool=false, use_usim_bool=false, carrier_instant_lettering_length_limit_int=64, operator_name_filter_pattern_string=, carrier_instant_lettering_invalid_chars_string=, carrier_setup_app_string=, editable_wfc_roaming_mode_bool=false, supportMmsContentDisposition=true, support_manage_ims_conference_call_bool=true, opportunistic_network_exit_threshold_rssnr_int=10, allow_non_emergency_calls_in_ecm_bool=true, allow_cdma_eri_bool=false, carrier_data_service_wlan_package_override_string=, show_carrier_data_icon_pattern_string=, use_rcs_presence_bool=false, config_telephony_use_own_number_for_voicemail_bool=false, cdma_dtmf_tone_delay_int=100, editable_voicemail_number_bool=false, carrier_data_call_apn_retry_after_disconnect_long=10000, filtered_cnap_names_string_array=null, enabledTransID=false, aliasEna
12-06 12:37:27.789  9287  9363 W Bugle   : BuglePhoneNumberUtils: canonicalizeMccMnc: invalid mccmnc. mcc: null, mnc: null
12-06 12:37:27.792  9287  9363 I Bugle   : Carrier configs loaded: Bundle[{carrier_volte_provisioned_bool=false, disable_charge_indication_bool=false, support_tdscdma_bool=false, httpSocketTimeout=60000, call_redirection_service_component_name_string=null, carrier_wfc_supports_wifi_only_bool=true, carrier_default_actions_on_default_network_available_string_array=[false: 7, true: 8], operator_selection_expand_bool=true, disable_cdma_activation_code_bool=false, simplified_network_settings_bool=false, support_tdscdma_roaming_networks_string_array=null, gps.lpp_profile=0, call_barring_visibility_bool=false, gps.es_extension_sec=0, enable_apps_string_array=null, carrier_default_wfc_ims_roaming_enabled_bool=true, cdma_nonroaming_networks_string_array=null, aliasMinChars=2, wfc_data_spn_format_idx_int=0, hide_sim_lock_settings_bool=false, drop_video_call_when_answering_audio_call_bool=false, ci_action_on_sys_update_bool=false, convert_cdma_caller_id_mmi_codes_while_roaming_on_3gpp_bool=false, support_enhanced_call_blocking_bool=true, vvm_port_number_int=1808, carrier_default_wfc_ims_enabled_bool=false, dial_string_replace_string_array=null, opportunistic_network_entry_threshold_bandwidth_int=1024, gsm_nonroaming_networks_string_array=null, hide_ims_apn_bool=false, vvm_destination_number_string=122, dtmf_type_enabled_bool=false, allow_video_calling_fallback_bool=true, config_ims_package_override_string=com.google.android.ims, only_auto_select_in_home_network=false, smsToMmsTextThreshold=-1, disable_severe_when_extreme_disabled_bool=true, force_home_network_bool=false, spdi_override_string_array=null, show_wfc_location_privacy_policy_bool=false, gps.supl_es=1, enableSMSDeliveryReports=true, auto_retry_enabled_bool=false, opportunistic_network_entry_threshold_rssnr_int=45, play_call_recording_tone_bool=false, carrier_force_disable_etws_cmas_test_bool=false, call_waiting_service_class_int=1, allow_emergency_video_calls_bool=false, csp_enabled_bool=false, default_sim_call_manager_string=, wifi.passpoint_profiles_string_array=null, carrier_app_required_during_setup_bool=false, call_forwarding_blocks_while_roaming_string_array=null, emergency_notification_delay_int=-1, support_video_conference_call_bool=false, ims_dtmf_tone_delay_int=0, show_signal_strength_in_sim_status_bool=true, data_rapid_notification_bool=true, carrier_instant_lettering_escaped_chars_string=, carrier_default_wfc_ims_roaming_mode_int=2, editable_wfc_mode_bool=true, support_direct_fdn_dialing_bool=false, carrier_ut_provisioning_required_bool=false, carrier_wifi_string_array=null, treat_downgraded_video_calls_as_video_calls_bool=false, wifi_calls_can_be_hd_audio=true, support_downgrade_vt_to_audio_bool=true, cdma_enhanced_roaming_indicator_for_home_network_int_array=[1], notify_handover_video_from_lte_to_wifi_bool=false, use_otasp_for_provisioning_bool=false, always_play_remote_hold_tone_bool=false, opportunistic_network_data_switch_hysteresis_time_long=10000, maxMessageTextSize=-1, duration_blocking_disabled_after_emergency_int=7200, carrier_metered_roaming_apn_types_strings=[default, mms, dun, supl], additional_settings_call_waiting_visibility_bool=true, show_video_call_charges_alert_dialog_bool=false, carrier_network_service_wlan_package_override_string=, show_apn_setting_cdma_bool=false, use_usim_bool=false, carrier_instant_lettering_length_limit_int=64, operator_name_filter_pattern_string=, carrier_instant_lettering_invalid_chars_string=, carrier_setup_app_string=, editable_wfc_roaming_mode_bool=false, supportMmsContentDisposition=true, support_manage_ims_conference_call_bool=true, opportunistic_network_exit_threshold_rssnr_int=10, allow_non_emergency_calls_in_ecm_bool=true, allow_cdma_eri_bool=false, carrier_data_service_wlan_package_override_string=, show_carrier_data_icon_pattern_string=, use_rcs_presence_bool=false, config_telephony_use_own_number_for_voicemail_bool=false, cdma_dtmf_tone_delay_int=100, editable_voicemail_number_bool=false, carrier_data_call_apn_retry_after_disconnect_long=10000, filtered_cnap_names_string_array=null, enabledTransID=false, aliasEna
12-06 12:37:27.797  2379  2394 I gle.android.gm: Background concurrent copying GC freed 94396(5685KB) AllocSpace objects, 0(0B) LOS objects, 43% free, 8127KB/13MB, paused 782us total 138.158ms
12-06 12:37:27.802  2379  2396 W System  : A resource failed to call close.
12-06 12:37:27.802  2379  2396 W System  : A resource failed to call close.
12-06 12:37:27.806  2379  8573 I ModuleSetMgr: Computing pending module set with APKs: {file:///system/product/priv-app/PrebuiltGmsCore/PrebuiltGmsCore.apk}
12-06 12:37:27.821  2379  8573 I ModuleSetUtils: Assembling ModuleSetRecord for container:17786: []
12-06 12:37:27.821  2379  8573 I ModuleSetMgr: Pending container Zapp APKs: []
12-06 12:37:27.821  2379  8573 I ModuleSetMgr: Pending non-container Zapp APKs: []
12-06 12:37:27.855  1796  2469 E GnssHAL_GnssInterface: gnssSvStatusCb: a: input svInfo.flags is 8
12-06 12:37:27.855  1796  2469 E GnssHAL_GnssInterface: gnssSvStatusCb: b: input svInfo.flags is 8
12-06 12:37:27.860  9287  9320 W native  : commandlineflags.cc:976 Ignoring RegisterValidateFunction() for flag pointer 0xc2da881c: no flag found at that address
12-06 12:37:27.973  9287  9320 W native  : commandlineflags.cc:976 Ignoring RegisterValidateFunction() for flag pointer 0xc2bf385c: no flag found at that address
12-06 12:37:28.076  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:28.086  9287  9335 I FA      : App measurement is starting up, version: 14711
12-06 12:37:28.090  9287  9335 I FA      : To enable debug logging run: adb shell setprop log.tag.FA VERBOSE
12-06 12:37:28.090  9287  9335 I FA      : To enable faster debug mode event logging run:
12-06 12:37:28.090  9287  9335 I FA      :   adb shell setprop debug.firebase.analytics.app com.google.android.apps.messaging
12-06 12:37:28.109  9287  9349 I BugleRcsEngine: [709] oil.a: Initializing SimStateTracker
12-06 12:37:28.119  9287  9367 I BugleRcsEngine: [719] ndu.register: Initializing Carrier Services Library.
12-06 12:37:28.213  2379  7912 I OcrModelUpStIntentOp: Updating ocr activity enabled=true (phenotypeFlag=true, lowRamDevice=false, prereqCheck=true)
12-06 12:37:28.237  9287  9367 I BugleBackup: Registering preference change listener for "bugle".
12-06 12:37:28.252  9287  9349 W Bugle   : BuglePhoneNumberUtils: canonicalizeMccMnc: invalid mccmnc. mcc: null, mnc: null
12-06 12:37:28.263  8663  9329 D DownloadManager: [15] Finished with status SUCCESS
12-06 12:37:28.266  9287  9349 I Bugle   : Carrier configs loaded: Bundle[{carrier_volte_provisioned_bool=false, disable_charge_indication_bool=false, support_tdscdma_bool=false, httpSocketTimeout=60000, call_redirection_service_component_name_string=null, carrier_wfc_supports_wifi_only_bool=true, carrier_default_actions_on_default_network_available_string_array=[false: 7, true: 8], operator_selection_expand_bool=true, disable_cdma_activation_code_bool=false, simplified_network_settings_bool=false, support_tdscdma_roaming_networks_string_array=null, gps.lpp_profile=0, call_barring_visibility_bool=false, gps.es_extension_sec=0, enable_apps_string_array=null, carrier_default_wfc_ims_roaming_enabled_bool=true, cdma_nonroaming_networks_string_array=null, aliasMinChars=2, wfc_data_spn_format_idx_int=0, hide_sim_lock_settings_bool=false, drop_video_call_when_answering_audio_call_bool=false, ci_action_on_sys_update_bool=false, convert_cdma_caller_id_mmi_codes_while_roaming_on_3gpp_bool=false, support_enhanced_call_blocking_bool=true, vvm_port_number_int=1808, carrier_default_wfc_ims_enabled_bool=false, dial_string_replace_string_array=null, opportunistic_network_entry_threshold_bandwidth_int=1024, gsm_nonroaming_networks_string_array=null, hide_ims_apn_bool=false, vvm_destination_number_string=122, dtmf_type_enabled_bool=false, allow_video_calling_fallback_bool=true, config_ims_package_override_string=com.google.android.ims, only_auto_select_in_home_network=false, smsToMmsTextThreshold=-1, disable_severe_when_extreme_disabled_bool=true, force_home_network_bool=false, spdi_override_string_array=null, show_wfc_location_privacy_policy_bool=false, gps.supl_es=1, enableSMSDeliveryReports=true, auto_retry_enabled_bool=false, opportunistic_network_entry_threshold_rssnr_int=45, play_call_recording_tone_bool=false, carrier_force_disable_etws_cmas_test_bool=false, call_waiting_service_class_int=1, allow_emergency_video_calls_bool=false, csp_enabled_bool=false, default_sim_call_manager_string=, wifi.passpoint_profiles_string_array=null, carrier_app_required_during_setup_bool=false, call_forwarding_blocks_while_roaming_string_array=null, emergency_notification_delay_int=-1, support_video_conference_call_bool=false, ims_dtmf_tone_delay_int=0, show_signal_strength_in_sim_status_bool=true, data_rapid_notification_bool=true, carrier_instant_lettering_escaped_chars_string=, carrier_default_wfc_ims_roaming_mode_int=2, editable_wfc_mode_bool=true, support_direct_fdn_dialing_bool=false, carrier_ut_provisioning_required_bool=false, carrier_wifi_string_array=null, treat_downgraded_video_calls_as_video_calls_bool=false, wifi_calls_can_be_hd_audio=true, support_downgrade_vt_to_audio_bool=true, cdma_enhanced_roaming_indicator_for_home_network_int_array=[1], notify_handover_video_from_lte_to_wifi_bool=false, use_otasp_for_provisioning_bool=false, always_play_remote_hold_tone_bool=false, opportunistic_network_data_switch_hysteresis_time_long=10000, maxMessageTextSize=-1, duration_blocking_disabled_after_emergency_int=7200, carrier_metered_roaming_apn_types_strings=[default, mms, dun, supl], additional_settings_call_waiting_visibility_bool=true, show_video_call_charges_alert_dialog_bool=false, carrier_network_service_wlan_package_override_string=, show_apn_setting_cdma_bool=false, use_usim_bool=false, carrier_instant_lettering_length_limit_int=64, operator_name_filter_pattern_string=, carrier_instant_lettering_invalid_chars_string=, carrier_setup_app_string=, editable_wfc_roaming_mode_bool=false, supportMmsContentDisposition=true, support_manage_ims_conference_call_bool=true, opportunistic_network_exit_threshold_rssnr_int=10, allow_non_emergency_calls_in_ecm_bool=true, allow_cdma_eri_bool=false, carrier_data_service_wlan_package_override_string=, show_carrier_data_icon_pattern_string=, use_rcs_presence_bool=false, config_telephony_use_own_number_for_voicemail_bool=false, cdma_dtmf_tone_delay_int=100, editable_voicemail_number_bool=false, carrier_data_call_apn_retry_after_disconnect_long=10000, filtered_cnap_names_string_array=null, enabledTransID=false, aliasEna
12-06 12:37:28.285  1824  1824 I lowmemorykiller: Reclaimed 0kB, cache(184172kB) and free(126320kB)-reserved(104336kB) below min(184320kB) for oom_adj 950
12-06 12:37:28.285  1824  1824 I lowmemorykiller: Suppressed 91 failed kill reports
12-06 12:37:28.299  9287  9367 W Bugle   : ChatContentDecoratorGrpc: Instance created but no relevant features are enabled
12-06 12:37:28.309  9287  9373 I ShortcutBadger: Checking if platform supports badge counters, attempt 1/3.
12-06 12:37:28.321  9287  9349 I Bugle   : ApnsOta: OTA version -1
12-06 12:37:28.325  9287  9373 I ShortcutBadger: Checking if platform supports badge counters, attempt 2/3.
12-06 12:37:28.329  9287  9363 D ExpressiveStickerClient: Clear metadata cache.
12-06 12:37:28.334  9287  9373 I ShortcutBadger: Checking if platform supports badge counters, attempt 3/3.
12-06 12:37:28.338  9287  9373 W ShortcutBadger: Badge counter seems not supported in this platform: unable to resolve intent: Intent { act=android.intent.action.BADGE_COUNT_UPDATE (has extras) }
12-06 12:37:28.352  9287  9287 I BugleRcs: RcsAvailability: updating
12-06 12:37:28.355  9287  9363 I BugleRcs: RcsAvailability: No minimum Cs.apk version is set, not checking Cs.apk version
12-06 12:37:28.376  9287  9319 D ExpressiveStickerClient: Clear metadata cache.
12-06 12:37:28.378  9287  9362 I BugleRcsEngine: [715] oil.c: Processing an intent
12-06 12:37:28.378  9287  9362 I BugleRcsEngine: [715] oil.handleSimState: SIM state LOADED
12-06 12:37:28.386  9287  9372 I BugleRcs: RCS is disabled via P/H
12-06 12:37:28.390  9287  9363 I BugleRcs: RcsAvailability: config server url unavailable - Carrier is not RCS enabled
12-06 12:37:28.391  9287  9363 I BugleRcs: RcsAvailability: updated: RCS is disabled for this carrier by Google
12-06 12:37:28.412  2197  7433 I PTCommittedOperation: Receive new configuration for com.google.android.gms.octarine
12-06 12:37:28.421  2379  3898 I Icing   : IndexChimeraService.getServiceInterface callingPackage=com.google.android.apps.messaging componentName=null serviceId=32
12-06 12:37:28.445  1777  1777 D Zygote  : Forked child process 9380
12-06 12:37:28.462  9287  9287 I BugleRcs: RcsAvailability: Broadcast disable RCS for RCS is disabled for this carrier by Google
12-06 12:37:28.490  9380  9380 W android.vendin: Unexpected CPU variant for X86 using defaults: x86
12-06 12:37:28.500  9380  9380 E android.vendin: Not starting debugger since process cannot load the jdwp agent.
12-06 12:37:28.608  9287  9362 I BugleRcsEngine: [715] oil.updateSimInfo: SIM changed: false. current id: [4vfUjdK1ylI-cxPPS6D26oMLYoE]; stored id: [4vfUjdK1ylI-cxPPS6D26oMLYoE]; isFiDevice: false
12-06 12:37:28.657  2379  7979 I Icing   : Usage reports ok 0, Failed Usage reports 0, indexed 0, rejected 0
12-06 12:37:28.712  2049  2075 E memtrack: Couldn't load memtrack module
12-06 12:37:28.713  2049  2075 W android.os.Debug: failed to get memory consumption info: -1
12-06 12:37:28.724  9380  9380 D ApplicationLoaders: Returning zygote-cached class loader: /system/framework/android.hidl.base-V1.0-java.jar
12-06 12:37:28.724  9380  9380 D ApplicationLoaders: Returning zygote-cached class loader: /system/framework/android.hidl.manager-V1.0-java.jar
12-06 12:37:28.724  9380  9380 D ApplicationLoaders: Returning zygote-cached class loader: /system/framework/android.hidl.base-V1.0-java.jar
12-06 12:37:28.736  9380  9380 I android.vendin: The ClassLoaderContext is a special shared library.
12-06 12:37:28.763  9380  9380 I android.vendin: The ClassLoaderContext is a special shared library.
12-06 12:37:28.857  1796  2469 E GnssHAL_GnssInterface: gnssSvStatusCb: a: input svInfo.flags is 8
12-06 12:37:28.857  1796  2469 E GnssHAL_GnssInterface: gnssSvStatusCb: b: input svInfo.flags is 8
12-06 12:37:28.900  1824  1824 E lowmemorykiller: Kill 'com.google.android.apps.messaging' (9287), uid 10122, oom_adj 905 to free 73740kB
12-06 12:37:28.900  1824  1824 I lowmemorykiller: Reclaimed 73740kB, cache(145748kB) and free(134440kB)-reserved(104336kB) below min(147456kB) for oom_adj 900
12-06 12:37:28.900  1824  1824 I lowmemorykiller: Suppressed 54 failed kill reports
12-06 12:37:28.933  2379  7912 I OcrModelUpStIntentOp: Downloading text recognizer
12-06 12:37:28.941  2379  7442 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:28.956  2379  8573 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:28.959  1777  1777 I Zygote  : Process 9287 exited due to signal 9 (Killed)
12-06 12:37:28.963  1824  1824 I lowmemorykiller: 5 memory pressure events were skipped after a kill!
12-06 12:37:28.966  2049  2078 I libprocessgroup: Successfully killed process cgroup uid 10122 pid 9287 in 0ms
12-06 12:37:28.968  2379  8577 I UdcContextInitChimeraSe: Scheduling UDC periodic settings cache sync.
12-06 12:37:28.987  2379  8577 I UdcContextInitChimeraSe: Scheduling context registration change job.
12-06 12:37:28.987  1891  1891 E /system/bin/tombstoned: Tombstone written to: /data/tombstones/tombstone_00
12-06 12:37:28.998  2379  8783 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.073  2379  8573 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.108  2379  9411 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.123  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.144  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.169  2049  2061 I system_server: Background concurrent copying GC freed 95420(4750KB) AllocSpace objects, 17(1220KB) LOS objects, 34% free, 11MB/17MB, paused 445us total 164.236ms
12-06 12:37:29.175  2379  7912 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.178  2379  7598 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.181  2379  9412 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.205  9380  9410 I Finsky  : [705] nxq.a(41): Started reading experiment flags from file [SKocQA9EQQFTb-1gQsc5WsjVhGA].
12-06 12:37:29.211  9380  9410 I Finsky  : [705] nxq.a(42): Finished reading experiment flags from file [SKocQA9EQQFTb-1gQsc5WsjVhGA].
12-06 12:37:29.216  9380  9408 I Finsky  : [703] nxq.a(41): Started reading experiment flags from file [v6B-2IolLQRBwrwPhscSaeg04As].
12-06 12:37:29.218  2379  7598 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.223  9380  9408 I Finsky  : [703] nxq.a(42): Finished reading experiment flags from file [v6B-2IolLQRBwrwPhscSaeg04As].
12-06 12:37:29.226  2379  7598 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.230  2379  8783 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.233  2379  9412 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.260  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.263  2379  9419 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.269  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.273  2379  9411 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.274  9380  9380 I Finsky  : [2] pxd.<init>(8): Resetting scheduler db
12-06 12:37:29.277  2379  8661 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.288  9380  9408 I Finsky  : [703] dfl.X(6): Not a unicorn account
12-06 12:37:29.291  2379  9423 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.295  9380  9407 W Finsky  : [702] cwl.a(19): For unauth, use getDfeApiNonAuthenticated() instead!
12-06 12:37:29.301  2379  7912 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.307  2379  7912 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.309  2379  8662 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.320  2379  8662 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.327  2379  5226 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.334  9380  9408 I Finsky  : [703] dfl.aR(10): Set SystemUpdateActivity enabled state to 1
12-06 12:37:29.339  9380  9406 I Finsky  : [701] com.google.android.finsky.packagemanager.impl.PackageMonitorReceiverImpl.<init>(5): Registering in memory receiver for android.intent.action.PACKAGE_ADDED
12-06 12:37:29.348  2049  9431 W Binder  : Outgoing transactions from this process must be FLAG_ONEWAY
12-06 12:37:29.348  2049  9431 W Binder  : java.lang.Throwable
12-06 12:37:29.348  2049  9431 W Binder  : 	at android.os.BinderProxy.transact(BinderProxy.java:480)
12-06 12:37:29.348  2049  9431 W Binder  : 	at android.app.IInstrumentationWatcher$Stub$Proxy.instrumentationFinished(IInstrumentationWatcher.java:205)
12-06 12:37:29.348  2049  9431 W Binder  : 	at com.android.server.am.InstrumentationReporter$MyThread.run(InstrumentationReporter.java:86)
12-06 12:37:29.350  5095  5095 D AndroidRuntime: Shutting down VM
12-06 12:37:29.360  5095  5129 W Binder  : Caught a RuntimeException from the binder stub implementation.
12-06 12:37:29.360  5095  5129 W Binder  : java.lang.SecurityException: Calling from not trusted UID!
12-06 12:37:29.360  5095  5129 W Binder  : 	at android.app.UiAutomationConnection.throwIfCalledByNotTrustedUidLocked(UiAutomationConnection.java:520)
12-06 12:37:29.360  5095  5129 W Binder  : 	at android.app.UiAutomationConnection.shutdown(UiAutomationConnection.java:424)
12-06 12:37:29.360  5095  5129 W Binder  : 	at android.app.IUiAutomationConnection$Stub.onTransact(IUiAutomationConnection.java:390)
12-06 12:37:29.360  5095  5129 W Binder  : 	at android.os.Binder.execTransactInternal(Binder.java:1021)
12-06 12:37:29.360  5095  5129 W Binder  : 	at android.os.Binder.execTransact(Binder.java:994)
12-06 12:37:29.366  2379  8573 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.379  9380  9408 W Settings: Setting download_manager_max_bytes_over_mobile has moved from android.provider.Settings.Secure to android.provider.Settings.Global.
12-06 12:37:29.380  9380  9408 I Finsky  : [703] nau.a(8): SettingNotFoundException, fall through to G.downloadBytesOverMobileMaximum
12-06 12:37:29.384  9380  9408 W Settings: Setting download_manager_recommended_max_bytes_over_mobile has moved from android.provider.Settings.Secure to android.provider.Settings.Global.
12-06 12:37:29.385  9380  9408 I Finsky  : [703] nau.a(11): SettingNotFoundException, fall through to G.downloadBytesOverMobileRecommended
12-06 12:37:29.393  2379  7442 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.404  2379  9436 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.409  2379  9436 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.415  2379  7598 W ModuleInitIntentOp: Dropping unexpected action com.google.android.gms.phenotype.COMMITTED
12-06 12:37:29.426  9380  9407 I Finsky  : [702] uws.d(1): Setup app restrictions monitor
12-06 12:37:29.433  1777  1777 I Zygote  : Process 5130 exited due to signal 6 (Aborted)
12-06 12:37:29.451  9380  9407 I Finsky  : [702] uyf.a(5): Device wide unknown source restriction is changed.
12-06 12:37:29.461  9380  9380 I Finsky  : [2] mxc.onTrimMemory(1): Memory trim requested to level 5
12-06 12:37:29.464  9380  9424 I Finsky  : [713] mik.a(15): Finished loading 0 libraries.

To Reproduce

setup like https://github.com/maplibre/maplibre-native/issues/1913

but with bugfix #1916 applied

run All tests of MapboxGLAndroidSDKTestApp (via context menue)

Expected behavior

Initial "All Test" run works out of the box.
Any necessary setup (like api keys) is documented

should be avoided (e.g. tests run without additional setup )

Side Question
Is it possibly preferable to use some simpler integration-tests for code-level work, or should the full test-suite be run anyways when making code changes/additions?

MapboxGLAndroidSDKTestApp contains a pretty heavy (instrumentation) test suite. We need a tile server to run these, so an API key is needed because we don't host our own tile server right now. We run these tests after merging PRs. Out of 617 tests, 3 are failing on CI right now:

org.maplibre.android.maps.BootstrapTest.defaultBootstrap
org.maplibre.android.maps.BootstrapTest.maptilerBootstrap
org.maplibre.android.maps.MapGestureDetectorTest

I recommend not to run these tests locally unless if you make sweeping changes. You can check out the latest run here (with logs), login with IAM maplibre (root user), maplibre (user) and maplibre (password).
https://us-west-2.console.aws.amazon.com/devicefarm/home#/mobile/projects/20687d72-0e46-403e-8f03-0941850665bc/runs/e8d5c9a5-743b-47e3-a6fa-34f492b53260/jobs/00000
MapboxGLAndroidSDK contains unit tests that run much quicker.

P:/maplibre/native/src/mbgl/gl/uniform_block_gl.cpp:15: virtual void mbgl::gl::UniformBlockGL::bindBuffer(const gfx::UniformBuffer &): assertion "size == uniformBuffer.getSize()" failed

Duplicate of https://github.com/maplibre/maplibre-native/issues/1833

authors: abebeos louwers

repo: maplibre/maplibre-native