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issue openedmautic/api-library

Api Library POST dont work after the change to use json_encode instead of http_build_query

Bug Description

Q A
Mautic version 2.16.2
PHP version 7.3.17
Browser Chrome

Steps to reproduce

POST using Mautic Api Library dont work while using OAuth2 (for instance to create contacts), The library was working fine with OAuth2 when the library was using http_build_query , but since the library started to use json_encode method the all functions that require POST stopped working while using OAuth but it still work fine with Basic Auth. It return this error when try to create something errors: { 0: { code: "401", message: "The response has unexpected status code (401)." }

Log errors

created time in 8 days

issue openedAMD-OSX/bugtracker

Interface stuttering GTX 650 + FX6300

Motherboard : Gigabyte GA-970A-DS3P CPU: AMD FX6300 GPU: Nvidia GTX 650 1GB

My GPU is working out of box with transparent dock and menu bar, dual monitor (VGA+DVI with sound) working too. But I noticed that the interface is not smooth, it is stutters and lags sometimes.

Is this a binary patch issue or just nvidia + amd trouble? Thanks

created time in 12 days

issue openedAMD-OSX/bugtracker

Patch update request for 10.14.6 (build <18G2022>)

Patch update request for 10.14.6 (build <18G2022>)

created time in 12 days

issue openedAMD-OSX/bugtracker

AMD Athlon 64 3000+ and AMD Athlon 64 3500+

Hello, I would want to install OS X 10.5 or 10.6 or macOS Catalina on my two oldish 2005 ASUS motherboards, the first one is an ASUS A8V and the second one is an ASUS A8N VM CSM. They both support DDR1 SDRAM and AMD Socket 939. I only built one of them for now which is the ASUS A8N-VM CSM. This is the one with the AMD Athlon 64 3500+ CPU. They both support those CPU Instruction Sets : Intel MMX Intel SSE Intel SSE2 Intel SSE3 And those one too : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 syscall nx mmxext fxsr_opt lm 3dnowext 3dnow rep_good nopl cpuid extd_apicid pni lahf_lm 3dnowprefetch vmmcall I also generated an hardinfo_report.txt file. file in attachment of this issue.

So yeah could you please help me to install macOS on this oldish hardware? Thanks.

created time in 12 days

issue openedlinuxmint/cinnamon

System Information

System Information - When you press refresh system information to 18.2 opens the browser, and can see everything you use, to 18.3 does nothing

created time in a month

issue openedJuliaGPU/CUDA.jl

Cannot select `fpow` while lowering `pow.f32`

julia> using CUDAdrv, CUDAnative

julia> a = round.(rand(Float32, (3, 4)) * 100)
3×4 Array{Float32,2}:
 57.0  13.0  55.0  14.0
 78.0  55.0  90.0  73.0
 61.0  85.0  36.0  85.0

julia> d_a = CuArray(a)
3×4 Array{Float32,2}:
 57.0  13.0  55.0  14.0
 78.0  55.0  90.0  73.0
 61.0  85.0  36.0  85.0

julia> d_b = similar(d_a)
3×4 Array{Float32,2}:
 0.0  0.0  0.0  0.0
 0.0  0.0  0.0  0.0
 0.0  0.0  0.0  0.0

julia> function kernel_vpow(a, b)
           i = (blockIdx().x-1) * blockDim().x + threadIdx().x
           b[i] = a[i]^1.5
           return nothing
       end
kernel_vpow (generic function with 1 method)

julia> @cuda (3,4) kernel_vpow(d_a, d_b)
ERROR: LLVM error: Cannot select: 0x6092650: f64 = fpow 0x6092570, ConstantFP:f64<1.500000e+00>
  0x6092570: f64 = fp_extend 0x6092180
    0x6092180: f32,ch = load<LD4[null(addrspace=101)]> 0x447c450, TargetExternalSymbol:i64'julia_^_61355_param_0', undef:i64
      0x60920a0: i64 = TargetExternalSymbol'julia_^_61355_param_0'
      0x6092110: i64 = undef
  0x60925e0: f64 = ConstantFP<1.500000e+00>
In function: julia_^_61355
Stacktrace:
 [1] handle_error(::Cstring) at /home/alha02/.julia/v0.6/LLVM/src/core/context.jl:96
 [2] macro expansion at /home/alha02/.julia/v0.6/LLVM/src/util/logging.jl:102 [inlined]
 [3] macro expansion at /home/alha02/.julia/v0.6/LLVM/src/base.jl:18 [inlined]
 [4] LLVMTargetMachineEmitToMemoryBuffer(::Ptr{LLVM.API.LLVMOpaqueTargetMachine}, ::Ptr{LLVM.API.LLVMOpaqueModule}, ::UInt32, ::Base.RefValue{Cstring}, ::Base.RefValue{Ptr{LLVM.API.LLVMOpaqueMemoryBuffer}}) at /home/alha02/.julia/v0.6/LLVM/src/../lib/3.9/libLLVM_h.jl:301
 [5] emit(::LLVM.TargetMachine, ::LLVM.Module, ::UInt32) at /home/alha02/.julia/v0.6/LLVM/src/targetmachine.jl:39
 [6] #mcgen#45(::Bool, ::Function, ::LLVM.Module, ::LLVM.Function, ::VersionNumber) at /home/alha02/.julia/v0.6/CUDAnative/src/jit.jl:303
 [7] (::CUDAnative.#kw##mcgen)(::Array{Any,1}, ::CUDAnative.#mcgen, ::LLVM.Module, ::LLVM.Function, ::VersionNumber) at ./<missing>:0
 [8] #compile_function#46(::Bool, ::Function, ::Any, ::Any, ::VersionNumber) at /home/alha02/.julia/v0.6/CUDAnative/src/jit.jl:328
 [9] cufunction(::CUDAdrv.CuDevice, ::Any, ::Any) at /home/alha02/.julia/v0.6/CUDAnative/src/jit.jl:369
 [10] macro expansion at /home/alha02/.julia/v0.6/CUDAnative/src/execution.jl:107 [inlined]
 [11] _cuda(::Tuple{Int64,Int64}, ::Int64, ::CUDAdrv.CuStream, ::#kernel_vpow, ::CUDAnative.CuDeviceArray{Float32,2,CUDAnative.AS.Global}, ::CUDAnative.CuDeviceArray{Float32,2,CUDAnative.AS.Global}) at /home/alha02/.julia/v0.6/CUDAnative/src/execution.jl:80

Integer powers are no problem:

julia> function kernel_vpow(a, b)
           i = (blockIdx().x-1) * blockDim().x + threadIdx().x
           b[i] = a[i]^2
           return nothing
       end
kernel_vpow (generic function with 1 method)

julia> @cuda (3,4) kernel_vpow(d_a, d_b)

julia> d_b
3×4 Array{Float32,2}:
 3249.0   169.0  3025.0   196.0
 6084.0  3025.0  8100.0  5329.0
 3721.0  7225.0  1296.0  7225.0

created time in a month

issue openedangular/angular

Images aren't getting cached by service worker

<!-- IF YOU DON'T FILL OUT THE FOLLOWING INFORMATION YOUR ISSUE MIGHT BE CLOSED WITHOUT INVESTIGATING -->

Bug Report or Feature Request (mark with an x)

- [x] bug report -> please search issues before submitting
- [ ] feature request

Command (mark with an x)

- [ ] new
- [x] build
- [ ] serve
- [ ] test
- [ ] e2e
- [ ] generate
- [ ] add
- [ ] update
- [ ] lint
- [ ] xi18n
- [ ] run
- [ ] config
- [ ] help
- [ ] version
- [ ] doc

Versions

<!-- Output from: node --version, npm --version and ng --version. Windows (7/8/10). Linux (incl. distribution). macOS (El Capitan? Sierra? High Sierra?) -->

$ node --version
v8.11.3

$ npm --version
5.6.0

$ ng --version

     _                      _                 ____ _     ___
    / \   _ __   __ _ _   _| | __ _ _ __     / ___| |   |_ _|
   / △ \ | '_ \ / _` | | | | |/ _` | '__|   | |   | |    | |
  / ___ \| | | | (_| | |_| | | (_| | |      | |___| |___ | |
 /_/   \_\_| |_|\__, |\__,_|_|\__,_|_|       \____|_____|___|
                |___/


Angular CLI: 6.0.8
Node: 8.11.3
OS: win32 x64
Angular: 6.0.7
... animations, common, compiler, compiler-cli, core, forms
... http, language-service, platform-browser
... platform-browser-dynamic, platform-server, router
... service-worker

Package                           Version
-----------------------------------------------------------
@angular-devkit/architect         0.6.8
@angular-devkit/build-angular     0.6.8
@angular-devkit/build-optimizer   0.6.8
@angular-devkit/core              0.6.8
@angular-devkit/schematics        0.6.8
@angular/cdk                      6.3.3
@angular/cli                      6.0.8
@angular/material                 6.3.3
@angular/pwa                      0.6.8
@ngtools/webpack                  6.0.8
@schematics/angular               0.6.8
@schematics/update                0.6.8
rxjs                              6.2.1
typescript                        2.7.2
webpack                           4.8.3

Repro steps

<!-- Simple steps to reproduce this bug. Please include: commands run (incl args), packages added, related code changes. A link to a sample repo would help too. -->

  1. Serve an image from localhost/api/users/profile-picture/1
  2. Add a data group to cache images
{
    "name": "profile-pictures",
    "urls": [
        "/api/users/profile-picture/*"
    ],
    "cacheConfig": {
        "strategy": "freshness",
        "maxSize": 300,
        "maxAge": "1d"
    }
}
  1. Build for production
  2. Serve app from localhost:4000
  3. Make sure service worker is installed
  4. Open the app in offline mode

The log given by the failure

<!-- Normally this include a stack trace and some more information. --> There's not really a log.

Desired functionality

<!-- What would like to see implemented? What is the usecase? --> My images will be cached for offline use.

Mention any other details that might be useful

<!-- Please include a link to the repo if this is related to an OSS project. --> My other api calls with json resources are cached just fine but for some reason the images aren't cached at all. I've searched the repo but haven't really found any similar issues.

created time in a month

issue openednmap/npcap

npcap 0.99-r2 breaks corporate proxy on Chrome (Windows)

Observed behaviour

We have a corporate proxy that is configured automatically (WPAD?) and uses the user's login to authenticate against. After installing the nmap 7.7 bundle (containing npcap 0.99-r2) Chrome couldn't connect to the proxy any more, so no "external" sites could be accessed.

Expected behaviour

npcap 0.99-r2 should not interfere with Chrome accessing a corporate proxy

Steps to reproduce

  1. have a corporate proxy with auto configuration ("Automatically detect settings" set in Windows Internet settings)
  2. Install nmap-7.70-setup.exe, choose to install npcap 0.99-r2
  3. Try to access pages that need the proxy to work with Chrome. "Local" pages that are not accessed trough the proxy still work.
  4. Chrome will respond with a DNS resolution error.

Notes

Interestingly both Firefox and IE were not affected by this. I also have a local proxy running on my machine. I need to use it for software that can't properly detect the corporate proxy. For testing purposes, I configured it in Windows. That didn't fix the problem with Chrome. I have tried both WinPCAP-API-Mode installation and "normal" installation. As soon as npcap is installed, Chrome doesn't work any more.

Steps to fix

Uninstall npcap 0.99-r2 via the control panel.

Versions

  • npcap 0.99-r2
  • (from nmap-7.70-setup.exe)
  • Chrome Version 65.0.3325.181 (64-Bit)
  • Windows 10 Pro Version 1703 Build 15063.909

created time in 2 months

issue openedmautic/api-library

Segment API not working

Bug Description

The more details the better...

Q A
Mautic version 2.16.2
PHP version 7.3
Browser Chrome

Steps to reproduce

  1. Making a post to https://example.com/api/segments/1/contacts/add using this data as content {"ids":[[11658,11657]]} return 200 and this response

{ "success": 1, "details": [] }

But the contacts didnt really get added to the segment. 2. I tested it on Mautic 3.x and it works fine

Log errors

created time in 2 months

issue openedgodotengine/godot-proposals

AssetLib Icon looks like a padlock

I've been getting some feedbacks on Twitter about how the AssetLib icon looks like a padlock. This might make it more difficult for users (it took me a while too) to find the link for AssetLib. What do you think? :)

https://twitter.com/NebulaBytes/status/976096307629588480

created time in 2 months

issue openedopendistro-for-elasticsearch/security

SAML Authentication not working with Kibana/Elasticsearch

Hi,

The SAML integration of opendistro kibana and elasticsearch with OKTA doesn’t seem to be working. I keep getting redirected to customerror?type=samlConfigError#?_g=() or to this /customerror?type=samlAuthError#?_g=().

I have enabled debug log in the elasticsearch machine and logs being generated:

'org.apache.cxf.rs.security.jose.jws.JwsException: INVALID_COMPACT_JWS' extracting credentials from saml http authenticator
	at com.amazon.dlic.auth.http.saml.HTTPSamlAuthenticator.extractCredentials(HTTPSamlAuthenticator.java:135) ~[opendistro_security_advanced_modules-0.9.0.0.jar:0.9.0.0]

The kibana is running on a different server and the Single sign on URL added in the OKTA app is being proxy passed through a nginx machine.

Does the kibana_url in the below config.yml need to be the same one in OKTA or should I pass the FQDN of the kibana machine?

Here is the opendistro_security/securityconfig/config.yml file:

 saml:
       enabled: true
       order: 1
       http_authenticator:
         type: saml
         challenge: true
         config:
           idp:
             metadata_file: metadata.xml
             entity_id: http://www.okta.com/3jnkj3nlwj3nlekn3lkn2
           sp:
             entity_id: kibana-saml
           roles_key: 'Roles'
           kibana_url: https://kibana-node-1:5601
           exchange_key: 'asd4nlksanflkanl3k2nlknlk'
       authentication_backend:
         type: noop

In the kibana.yml I have added these two blocks as well.

opendistro_security.auth.type: "saml"

server.xsrf.whitelist: ["/_opendistro/_security/saml/acs", "/_opendistro/_security/saml/logout"]

Also the logs being generated in the kibana machine are not helpful.

Any ideas as to what can cause this issue?

created time in 2 months

issue openeddotnet/machinelearning-modelbuilder

Model Builder reference error

On the CLI my regression model trains without issue, and the FastTreeTweedie is automatically selected as the best performing. In the resulting files produced by the model, in the Model.cs, I am getting an error: "The type or namespace name 'FastTreeTweedieTrainer' could not be found (are you missing a using directive or an assembly reference?) (CS0246) [VesselAnalytics]". This seems to be linked to the ML.FastTree but if you know of a workaround then that would be great, i.e. is there an obscure using reference that isn't automatically inserted by the model I need to insert.


Document Details

Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

created time in 3 months

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