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stringclasses 2
values | created
timestamp[s]date 2001-05-16 21:05:09
2025-01-01 03:38:30
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stringdate 2025-04-01 04:05:38
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2088404657
|
ACA Container Unable to Resolve AKS Private Cluster DNS
Please provide us with the following information:
This issue is a: (mark with an x)
[x] bug report -> please search issues before submitting
[ ] documentation issue or request
[ ] regression (a behavior that used to work and stopped in a new release)
Issue description
A clear and concise description of the observed issue.
Steps to reproduce
Follow the tutorial (Azure DevOps)
Setup another vnet/private cluster
Create new pipeline
Expected behavior [What you expected to happen.]
Pipeline is created and executed.
Actual behavior [What actually happened.]
The remote name could not be resolved: '-dns-nrkdam3r.c84201e0-c52c-46ce-bba0-36840a30c90b.privatelink.eastus.azmk8s.io'
In addition, I have pipelines that once worked and having similar DNS issues as well. Here's the error message which happens for the existing pipeline:
error: failed to create secret Post "[https://ss-api-internal-dns-wmmru0vq.hcp.eastus.azmk8s.io/api/v1/namespaces/api-internal/secrets?fieldManager=kubectl-create&fieldValidation=Strict"](https://ss-api-internal-dns-wmmru0vq.hcp.eastus.azmk8s.io/api/v1/namespaces/api-internal/secrets?fieldManager=kubectl-create&fieldValidation=Strict%22): dial tcp: lookup ss-api-internal-dns-wmmru0vq.hcp.eastus.azmk8s.io on 127.0.0.11:53: no such host
This looks like a DNS or network issue and possibly an AKS issue looking for a DNS endpoint. I created a non-private cluster and everything worked fine, so seems to be associated to private clusters.
I am totally stuck and have searched feverishly with no answer. I'm hoping someone can shed some light on what I have wrong. Thanks!
hi @Chris-Sheridan thanks for reaching out.
A few clarifying questions:
Can you please explain a little bit about your scenario? Are you trying to resolve a private AKS cluster from an Azure Container App?
Where/when are you seeing the error: The remote name could not be resolved: '-dns-nrkdam3r.c84201e0-c52c-46ce-bba0-36840a30c90b.privatelink.eastus.azmk8s.io' is it when you try to create a new Container App Environment?
Likewise, where are you seeing the error error: failed to create secret Post "[https://ss-api-internal-dns-wmmru0vq.hcp.eastus.azmk8s.io/api/v1/namespaces/api-internal/secrets?fieldManager=kubectl-create&fieldValidation=Strict"](https://ss-api-internal-dns-wmmru0vq.hcp.eastus.azmk8s.io/api/v1/namespaces/api-internal/secrets?fieldManager=kubectl-create&fieldValidation=Strict%22): dial tcp: lookup ss-api-internal-dns-wmmru0vq.hcp.eastus.azmk8s.io on 127.0.0.11:53: no such host is it when creating/updating an Environment?
This happens before any environment setup. I think I resolved at least part of the issue. I created 2 new vents, and I setup the agent container job in one vnet and the cluster was in the other. Once I peered the 2 vnets together, it worked and the agent was able to interact (i.e. run kubectl) against the cluster in a separate vnet.
This problem still exists but it appears isolated to the vnet setup the cluster resides in. I have a ticket open to Microsoft for it, but I think you we can close this issue for now.
I figured this out. This is relevant for Azure DevOps, GitHub Actions, or using kubectl via the CLI to interact with a private AKS cluster. I received an error message stating, "Unable to connect to the server: dial tcp: lookup -dns-rrxn45oq.19568f79-2d23-4df0-8d3e-f7e3e690d17b.privatelink.eastus.azmk8s.io on :53: no such host"
If anyone is getting this error running kubectl from a vnet different than the cluster's vnet, you need to ensure the following:
The vnets are peered. I tried otherwise but the nslookup showed it was lost in trying to resolve the IP address, especially if IPs overlap.
The Private DNS zone created by the AKS cluster installation has a Virtual Network Link to the vnet where you run kubectl. To do this, perform the following:
Select to Private DNS zones from your Azure Portal Homepage (for me, it was: https://portal.azure.com/#view/HubsExtension/BrowseResource/resourceType/Microsoft.Network%2FprivateDnsZones).
Click on the Private DNS zone AKS created. In my case, it was "19568f79-2d23-4df0-8d3e-f7e3e690d17b.privatelink.eastus.azmk8s.io".
Click on Virtual network links (under Settings in left-side pane).
Click on the "+Add" button.
Complete the form with your link name and select the virtual network you want to run kubectl (or Azure DevOps or your private GitHub Actions runner) from.
Once completed, you can test running kubectl from a VM inside the vnet (you first need to run az aks get-credentials first).
Good luck!
|
gharchive/issue
| 2024-01-18T14:27:29 |
2025-04-01T04:35:01.975919
|
{
"authors": [
"Chris-Sheridan",
"vinisoto"
],
"repo": "microsoft/azure-container-apps",
"url": "https://github.com/microsoft/azure-container-apps/issues/1054",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1748261799
|
Feature Request: Role-based access control for invoking jobs
Is your feature request related to a problem? Please describe.
When triggering a manual job, it's possible to override substantial parts of the definition, such as image or command. I would love to be able to delegate some actions on jobs to user accounts without giving the ability to exceed those definitions.
For example, we have a container app job defined using the same image as a running container app, but with a command override to run drush cache:rebuild rather than opening a fastcgi socket. This is a low-risk command that is the first step to fixing a service outage. I'd like to share with many people in the organisation, but there's also a drush sql:drop command which would cause a serious outage if run.
There are already some definitions, like microsoft.app/jobs/execution/read but these appear relatively minimal and per-job settings aren't yet exposed in portal.
Describe the solution you'd like.
I would like role-based access control of job definitions that limits individual functions. I envision a contributor would be able to edit a job definition, trigger it as currently, see executions, etc. I'd like to be able to delegate a role on a specific job that allows triggering but does not allow deviation from the defined version.
In the example above, I'd create a job for drush cache:rebuild and then assign a runner role to various people. They'd be able to see the job and view the command it runs, but not be able to view the secrets assigned to the job. They'd be able to trigger a manual job, but not override anything during the trigger.
Describe alternatives you've considered.
Event-based triggering is a way around this, for now. A job can be triggered using an event from a storage account queue, which allows RBAC to limit users to posting to the individual queue. They could then be given read access to the log analytics workspace and the job, so they're able to see outputs but not edit.
I believe this would work, but is somewhat unintuitive. We'd have to document that enqueueing a message triggers the output, but it would be easy to achieve through the various queue interfaces available.
Additional context.
N/A
Thanks @MatthewWilkes. We've been considering this and your scenarios above is super helpful for understanding what's needed here.
Can we get an update on this? Container jobs are sometimes manually executed so it's important to be able to grant user/group/app permissions based using rbac and not having to create custom roles.
|
gharchive/issue
| 2023-06-08T16:15:14 |
2025-04-01T04:35:01.980907
|
{
"authors": [
"MatthewWilkes",
"anthonychu",
"zyofeng"
],
"repo": "microsoft/azure-container-apps",
"url": "https://github.com/microsoft/azure-container-apps/issues/780",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
603108869
|
terraform plan: Save human readable plan to file
It doesn't seem possible to write the human readable output of terraform plan to a file using this Task. For example, this does not work:
- task: ms-devlabs.custom-terraform-tasks.custom-terraform-release-task.TerraformTaskV1@0
inputs:
command: plan
commandOptions: '-out=tfplan &> $(Build.StagingDirectory)/TFPlan.txt'
It would be super helpful if we could output the human readable plan to a file.
This code removes a temp file that contains the human readable plan. I propose 1. a Task property that, when true, does not remove the file and 2. an output variable that contains the path to the file.
For example:
- task: ms-devlabs.custom-terraform-tasks.custom-terraform-release-task.TerraformTaskV1@0
inputs:
command: plan
commandOptions: '-out=tfplan'
saveHumanReadablePlan: true
this will be solved with the V3 version of the extension. transferring this issue to new repo. https://github.com/microsoft/azure-pipelines-terraform/issues
|
gharchive/issue
| 2020-04-20T10:01:30 |
2025-04-01T04:35:01.984042
|
{
"authors": [
"DanielLarsenNZ",
"mericstam"
],
"repo": "microsoft/azure-pipelines-extensions",
"url": "https://github.com/microsoft/azure-pipelines-extensions/issues/808",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
511001640
|
BLOCKING: Latest AzurePowershell@4 (4.159.2) -> Get-AzContext returns $null
Note
For a list:
https://github.com/Microsoft/azure-pipelines-tasks/tree/master/Tasks
If you have an issue or request for the Azure Pipelines service, use developer community instead:
https://developercommunity.visualstudio.com/spaces/21/index.html )
Required Information
Entering this information will route you directly to the right team and expedite traction.
Question, Bug, or Feature?
Type: BUG
Enter Task Name: AzurePowershell@4 (4.159.2)
list here (V# not needed):
https://github.com/Microsoft/azure-pipelines-tasks/tree/master/Tasks
Environment
Azure Pipelines
If using Azure Pipelines, provide the account name, team project name, build definition name/build number: msazure.visualstudio.com
Agent - Private:
Server 2019 with latest VS 2019 installed
Issue Description
We depend on the AzurePowershell VSTS task to use resources in our Azure subs. With the latest deployment of the task 4.159.2 (today) we can no longer get the context to change to the appropriate subscription in the tenant, hence our builds, deployments, etc are blocked. The previous version of the task 4.157.4 was working just fine.
Azure PowerShell version on hosted VM: 2.3.2
We need someone to look at what the heck happened with the latest version ....
Task logs
[Enable debug logging and please provide the zip file containing all the logs for a speedy resolution]
Here is an example of diagnostics enabled with a call to Get-AzContext in an Azure PowerShell task we have
150
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Rest.ClientRuntime.dll'.
151
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Rest.ClientRuntime.dll'.
152
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Rest.ClientRuntime.Azure.dll'.
153
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Rest.ClientRuntime.Azure.dll'.
154
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.WindowsAzure.Storage.dll'.
155
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.WindowsAzure.Storage.dll'.
156
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.WindowsAzure.Storage.DataMovement.dll'.
157
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.WindowsAzure.Storage.DataMovement.dll'.
158
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Azure.PowerShell.Clients.Aks.dll'.
159
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Azure.PowerShell.Clients.Aks.dll'.
160
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Azure.PowerShell.Strategies.dll'.
161
##[debug]Loading 'Assembly' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Azure.PowerShell.Strategies.dll'.
162
##[debug]Loading 'FormatsToProcess' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Accounts.format.ps1xml'.
163
##[debug]Loading 'FormatsToProcess' from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Accounts.generated.format.ps1xml'.
164
##[debug]Populating RepositorySourceLocation property for module Az.Accounts.
165
##[debug]Loading module from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Az.Accounts.psm1'.
166
##[debug]Loading module from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Azure.PowerShell.Cmdlets.Accounts.dll'.
167
##[debug]Importing cmdlet 'Get-AzProfile'.
168
##[debug]Importing cmdlet 'Register-AzModule'.
169
##[debug]Importing cmdlet 'Select-AzProfile'.
170
##[debug]Importing cmdlet 'Connect-AzAccount'.
171
##[debug]Importing cmdlet 'Disconnect-AzAccount'.
172
##[debug]Importing cmdlet 'Get-AzContext'.
173
##[debug]Importing cmdlet 'Import-AzContext'.
174
##[debug]Importing cmdlet 'Save-AzContext'.
175
##[debug]Importing cmdlet 'Set-AzContext'.
176
##[debug]Importing cmdlet 'Disable-AzDataCollection'.
177
##[debug]Importing cmdlet 'Enable-AzDataCollection'.
178
##[debug]Importing cmdlet 'Add-AzEnvironment'.
179
##[debug]Importing cmdlet 'Get-AzEnvironment'.
180
##[debug]Importing cmdlet 'Remove-AzEnvironment'.
181
##[debug]Importing cmdlet 'Set-AzEnvironment'.
182
##[debug]Importing cmdlet 'Send-Feedback'.
183
##[debug]Importing cmdlet 'Get-AzSubscription'.
184
##[debug]Importing cmdlet 'Get-AzTenant'.
185
##[debug]Importing cmdlet 'Uninstall-AzureRm'.
186
##[debug]Importing cmdlet 'Resolve-AzError'.
187
##[debug]Importing cmdlet 'Clear-AzDefault'.
188
##[debug]Importing cmdlet 'Get-AzDefault'.
189
##[debug]Importing cmdlet 'Set-AzDefault'.
190
##[debug]Importing cmdlet 'Disable-AzureRmAlias'.
191
##[debug]Importing cmdlet 'Enable-AzureRmAlias'.
192
##[debug]Importing cmdlet 'Disable-AzContextAutosave'.
193
##[debug]Importing cmdlet 'Enable-AzContextAutosave'.
194
##[debug]Importing cmdlet 'Get-AzContextAutosaveSetting'.
195
##[debug]Importing cmdlet 'Clear-AzContext'.
196
##[debug]Importing cmdlet 'Remove-AzContext'.
197
##[debug]Importing cmdlet 'Rename-AzContext'.
198
##[debug]Importing cmdlet 'Select-AzContext'.
199
##[debug]Importing alias 'Login-AzAccount'.
200
##[debug]Importing alias 'Login-AzureRmAccount'.
201
##[debug]Importing alias 'Add-AzAccount'.
202
##[debug]Importing alias 'Logout-AzAccount'.
203
##[debug]Importing alias 'Logout-AzureRmAccount'.
204
##[debug]Importing alias 'Remove-AzAccount'.
205
##[debug]Importing alias 'Save-AzProfile'.
206
##[debug]Importing alias 'Select-AzSubscription'.
207
##[debug]Importing alias 'Get-AzureRmDomain'.
208
##[debug]Importing alias 'Get-AzDomain'.
209
##[debug]Importing alias 'Resolve-Error'.
210
##[debug]Exporting function 'Test-DotNet'.
211
##[debug]Exporting function 'Write-InstallationCheckToFile'.
212
##[debug]Exporting cmdlet 'Get-AzProfile'.
213
##[debug]Exporting cmdlet 'Register-AzModule'.
214
##[debug]Exporting cmdlet 'Select-AzProfile'.
215
##[debug]Exporting cmdlet 'Connect-AzAccount'.
216
##[debug]Exporting cmdlet 'Disconnect-AzAccount'.
217
##[debug]Exporting cmdlet 'Get-AzContext'.
218
##[debug]Exporting cmdlet 'Import-AzContext'.
219
##[debug]Exporting cmdlet 'Save-AzContext'.
220
##[debug]Exporting cmdlet 'Set-AzContext'.
221
##[debug]Exporting cmdlet 'Disable-AzDataCollection'.
222
##[debug]Exporting cmdlet 'Enable-AzDataCollection'.
223
##[debug]Exporting cmdlet 'Add-AzEnvironment'.
224
##[debug]Exporting cmdlet 'Get-AzEnvironment'.
225
##[debug]Exporting cmdlet 'Remove-AzEnvironment'.
226
##[debug]Exporting cmdlet 'Set-AzEnvironment'.
227
##[debug]Exporting cmdlet 'Send-Feedback'.
228
##[debug]Exporting cmdlet 'Get-AzSubscription'.
229
##[debug]Exporting cmdlet 'Get-AzTenant'.
230
##[debug]Exporting cmdlet 'Uninstall-AzureRm'.
231
##[debug]Exporting cmdlet 'Resolve-AzError'.
232
##[debug]Exporting cmdlet 'Clear-AzDefault'.
233
##[debug]Exporting cmdlet 'Get-AzDefault'.
234
##[debug]Exporting cmdlet 'Set-AzDefault'.
235
##[debug]Exporting cmdlet 'Disable-AzureRmAlias'.
236
##[debug]Exporting cmdlet 'Enable-AzureRmAlias'.
237
##[debug]Exporting cmdlet 'Disable-AzContextAutosave'.
238
##[debug]Exporting cmdlet 'Enable-AzContextAutosave'.
239
##[debug]Exporting cmdlet 'Get-AzContextAutosaveSetting'.
240
##[debug]Exporting cmdlet 'Clear-AzContext'.
241
##[debug]Exporting cmdlet 'Remove-AzContext'.
242
##[debug]Exporting cmdlet 'Rename-AzContext'.
243
##[debug]Exporting cmdlet 'Select-AzContext'.
244
##[debug]Exporting alias 'Login-AzAccount'.
245
##[debug]Exporting alias 'Login-AzureRmAccount'.
246
##[debug]Exporting alias 'Add-AzAccount'.
247
##[debug]Exporting alias 'Logout-AzAccount'.
248
##[debug]Exporting alias 'Logout-AzureRmAccount'.
249
##[debug]Exporting alias 'Remove-AzAccount'.
250
##[debug]Exporting alias 'Save-AzProfile'.
251
##[debug]Exporting alias 'Select-AzSubscription'.
252
##[debug]Exporting alias 'Get-AzureRmDomain'.
253
##[debug]Exporting alias 'Get-AzDomain'.
254
##[debug]Exporting alias 'Resolve-Error'.
255
##[debug]Importing cmdlet 'Add-AzEnvironment'.
256
##[debug]Importing cmdlet 'Clear-AzContext'.
257
##[debug]Importing cmdlet 'Clear-AzDefault'.
258
##[debug]Importing cmdlet 'Connect-AzAccount'.
259
##[debug]Importing cmdlet 'Disable-AzContextAutosave'.
260
##[debug]Importing cmdlet 'Disable-AzDataCollection'.
261
##[debug]Importing cmdlet 'Disable-AzureRmAlias'.
262
##[debug]Importing cmdlet 'Disconnect-AzAccount'.
263
##[debug]Importing cmdlet 'Enable-AzContextAutosave'.
264
##[debug]Importing cmdlet 'Enable-AzDataCollection'.
265
##[debug]Importing cmdlet 'Enable-AzureRmAlias'.
266
##[debug]Importing cmdlet 'Get-AzContext'.
267
##[debug]Importing cmdlet 'Get-AzContextAutosaveSetting'.
268
##[debug]Importing cmdlet 'Get-AzDefault'.
269
##[debug]Importing cmdlet 'Get-AzEnvironment'.
270
##[debug]Importing cmdlet 'Get-AzProfile'.
271
##[debug]Importing cmdlet 'Get-AzSubscription'.
272
##[debug]Importing cmdlet 'Get-AzTenant'.
273
##[debug]Importing cmdlet 'Import-AzContext'.
274
##[debug]Importing cmdlet 'Register-AzModule'.
275
##[debug]Importing cmdlet 'Remove-AzContext'.
276
##[debug]Importing cmdlet 'Remove-AzEnvironment'.
277
##[debug]Importing cmdlet 'Rename-AzContext'.
278
##[debug]Importing cmdlet 'Resolve-AzError'.
279
##[debug]Importing cmdlet 'Save-AzContext'.
280
##[debug]Importing cmdlet 'Select-AzContext'.
281
##[debug]Importing cmdlet 'Select-AzProfile'.
282
##[debug]Importing cmdlet 'Send-Feedback'.
283
##[debug]Importing cmdlet 'Set-AzContext'.
284
##[debug]Importing cmdlet 'Set-AzDefault'.
285
##[debug]Importing cmdlet 'Set-AzEnvironment'.
286
##[debug]Importing cmdlet 'Uninstall-AzureRm'.
287
##[debug]Importing alias 'Add-AzAccount'.
288
##[debug]Importing alias 'Get-AzDomain'.
289
##[debug]Importing alias 'Login-AzAccount'.
290
##[debug]Importing alias 'Logout-AzAccount'.
291
##[debug]Importing alias 'Remove-AzAccount'.
292
##[debug]Importing alias 'Resolve-Error'.
293
##[debug]Importing alias 'Save-AzProfile'.
294
##[debug]Importing alias 'Select-AzSubscription'.
295
##[debug]Imported module version: 1.6.2
296
##[debug]Leaving Import-AzModule.
297
##[debug]Initializing Az Module.
298
##[debug]AZURE_HTTP_USER_AGENT: 'VSTS_41bf5486-7392-4b7a-a7e3-a735c767e3b3_build_43219_0'
299
##[debug]Entering Set-UserAgent_Core.
300
##[debug] UserAgent: 'VSTS_41bf5486-7392-4b7a-a7e3-a735c767e3b3_build_43219_0'
301
##[debug]Leaving Set-UserAgent_Core.
302
##[command]Clear-AzContext -Scope Process
303
##[command]Clear-AzContext -Scope CurrentUser -Force -ErrorAction SilentlyContinue
304
##[command]Connect-AzAccount -ServicePrincipal -Tenant *** -Credential System.Management.Automation.PSCredential -Environment AzureCloud
305
##[debug]Leaving Initialize-AzModule.
306
Generating script.
307
##[debug]Asserting leaf path exists: 'C:\windows\System32\WindowsPowerShell\v1.0\powershell.exe'
308
========================== Starting Command Output ===========================
309
##[debug]Entering Invoke-VstsTool.
310
##[debug] Arguments: '-NoLogo -NoProfile -NonInteractive -ExecutionPolicy Unrestricted -Command ". 'd:\agent\a1_work_temp\70722065-b061-475a-8966-3de89ca3861d.ps1'"'
311
##[debug] FileName: 'C:\windows\System32\WindowsPowerShell\v1.0\powershell.exe'
312
##[debug] WorkingDirectory: 'd:\agent\a1_work\15\s'
313
##[command]"C:\windows\System32\WindowsPowerShell\v1.0\powershell.exe" -NoLogo -NoProfile -NonInteractive -ExecutionPolicy Unrestricted -Command ". 'd:\agent\a1_work_temp\70722065-b061-475a-8966-3de89ca3861d.ps1'"
314
VERBOSE: C:\Modules\azurerm_2.1.0 is not present in
315
C:\Modules\az_2.3.2;C:\Users\tfsbuild\Documents\WindowsPowerShell\Modules;C:\Program
316
Files\WindowsPowerShell\Modules;C:\windows\system32\WindowsPowerShell\v1.0\Modules;C:\Program Files\Microsoft
317
Monitoring Agent\Agent\PowerShell;C:\Program Files\Microsoft Monitoring Agent\Agent\AzureAutomation\7.3.396.0
318
VERBOSE: C:\Modules\azure_2.1.0 is not present in
319
C:\Modules\az_2.3.2;C:\Users\tfsbuild\Documents\WindowsPowerShell\Modules;C:\Program
320
Files\WindowsPowerShell\Modules;C:\windows\system32\WindowsPowerShell\v1.0\Modules;C:\Program Files\Microsoft
321
Monitoring Agent\Agent\PowerShell;C:\Program Files\Microsoft Monitoring Agent\Agent\AzureAutomation\7.3.396.0
322
VERBOSE: The value of the module path is: C:\Modules\az_2.3.2
323
VERBOSE: The updated value of the PSModulePath is:
324
C:\Modules\az_2.3.2;C:\Modules\az_2.3.2;C:\Users\tfsbuild\Documents\WindowsPowerShell\Modules;C:\Program
325
Files\WindowsPowerShell\Modules;C:\windows\system32\WindowsPowerShell\v1.0\Modules;C:\Program Files\Microsoft
326
Monitoring Agent\Agent\PowerShell;C:\Program Files\Microsoft Monitoring Agent\Agent\AzureAutomation\7.3.396.0
327
VERBOSE: Loading module from path 'D:\agent\a1_work\15\s\infra\deployment\ClusterManager\clustermanager.psm1'.
328
VERBOSE: Exporting function 'Test-CMCluster'.
329
VERBOSE: Exporting function 'Get-CMClusters'.
330
VERBOSE: Exporting function 'Get-CMClusterIds'.
331
VERBOSE: Exporting function 'Get-CMCluster'.
332
VERBOSE: Exporting function 'Set-CMCluster'.
333
VERBOSE: Exporting function 'Remove-CMCluster'.
334
VERBOSE: Exporting function 'New-CMCluster'.
335
VERBOSE: Exporting function 'Lock-CMCluster'.
336
VERBOSE: Exporting function 'Unlock-CMCluster'.
337
VERBOSE: Exporting function 'Get-CMIsLocked'.
338
VERBOSE: Exporting function 'Set-CMEnvironmentFromCluster'.
339
VERBOSE: Exporting function 'Invoke-CMRetryingCommand'.
340
VERBOSE: Exporting function 'Invoke-CMLog'.
341
VERBOSE: Importing function 'Get-CMCluster'.
342
VERBOSE: Importing function 'Get-CMClusterIds'.
343
VERBOSE: Importing function 'Get-CMClusters'.
344
VERBOSE: Importing function 'Get-CMIsLocked'.
345
VERBOSE: Importing function 'Invoke-CMLog'.
346
VERBOSE: Importing function 'Invoke-CMRetryingCommand'.
347
VERBOSE: Importing function 'Lock-CMCluster'.
348
VERBOSE: Importing function 'New-CMCluster'.
349
VERBOSE: Importing function 'Remove-CMCluster'.
350
VERBOSE: Importing function 'Set-CMCluster'.
351
VERBOSE: Importing function 'Set-CMEnvironmentFromCluster'.
352
VERBOSE: Importing function 'Test-CMCluster'.
353
VERBOSE: Importing function 'Unlock-CMCluster'.
354
VERBOSE: ------------------------------------------------------------
355
VERBOSE: The script was invoked with the following parameters:
356
VERBOSE: -SubscriptionId: zzz
357
VERBOSE: -StorageAccountName: zzz
358
VERBOSE: -Automation
359
VERBOSE: -Enabled
360
VERBOSE: -SetJobScopedEnvironment
361
VERBOSE: ------------------------------------------------------------
362
VERBOSE: Loading module from path 'C:\Program
363
Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Microsoft.Azure.PowerShell.Cmdlets.Accounts.dll'.
364
VERBOSE: Importing cmdlet 'Get-AzProfile'.
365
VERBOSE: Importing cmdlet 'Register-AzModule'.
366
VERBOSE: Importing cmdlet 'Select-AzProfile'.
367
VERBOSE: Importing cmdlet 'Connect-AzAccount'.
368
VERBOSE: Importing cmdlet 'Disconnect-AzAccount'.
369
VERBOSE: Importing cmdlet 'Get-AzContext'.
370
VERBOSE: Importing cmdlet 'Import-AzContext'.
371
VERBOSE: Importing cmdlet 'Save-AzContext'.
372
VERBOSE: Importing cmdlet 'Set-AzContext'.
373
VERBOSE: Importing cmdlet 'Disable-AzDataCollection'.
374
VERBOSE: Importing cmdlet 'Enable-AzDataCollection'.
375
VERBOSE: Importing cmdlet 'Add-AzEnvironment'.
376
VERBOSE: Importing cmdlet 'Get-AzEnvironment'.
377
VERBOSE: Importing cmdlet 'Remove-AzEnvironment'.
378
VERBOSE: Importing cmdlet 'Set-AzEnvironment'.
379
VERBOSE: Importing cmdlet 'Send-Feedback'.
380
VERBOSE: Importing cmdlet 'Get-AzSubscription'.
381
VERBOSE: Importing cmdlet 'Get-AzTenant'.
382
VERBOSE: Importing cmdlet 'Uninstall-AzureRm'.
383
VERBOSE: Importing cmdlet 'Resolve-AzError'.
384
VERBOSE: Importing cmdlet 'Clear-AzDefault'.
385
VERBOSE: Importing cmdlet 'Get-AzDefault'.
386
VERBOSE: Importing cmdlet 'Set-AzDefault'.
387
VERBOSE: Importing cmdlet 'Disable-AzureRmAlias'.
388
VERBOSE: Importing cmdlet 'Enable-AzureRmAlias'.
389
VERBOSE: Importing cmdlet 'Disable-AzContextAutosave'.
390
VERBOSE: Importing cmdlet 'Enable-AzContextAutosave'.
391
VERBOSE: Importing cmdlet 'Get-AzContextAutosaveSetting'.
392
VERBOSE: Importing cmdlet 'Clear-AzContext'.
393
VERBOSE: Importing cmdlet 'Remove-AzContext'.
394
VERBOSE: Importing cmdlet 'Rename-AzContext'.
395
VERBOSE: Importing cmdlet 'Select-AzContext'.
396
VERBOSE: Importing alias 'Login-AzAccount'.
397
VERBOSE: Importing alias 'Login-AzureRmAccount'.
398
VERBOSE: Importing alias 'Add-AzAccount'.
399
VERBOSE: Importing alias 'Logout-AzAccount'.
400
VERBOSE: Importing alias 'Logout-AzureRmAccount'.
401
VERBOSE: Importing alias 'Remove-AzAccount'.
402
VERBOSE: Importing alias 'Save-AzProfile'.
403
VERBOSE: Importing alias 'Select-AzSubscription'.
404
VERBOSE: Importing alias 'Get-AzureRmDomain'.
405
VERBOSE: Importing alias 'Get-AzDomain'.
406
VERBOSE: Importing alias 'Resolve-Error'.
407
##[debug]STDERR: Run Connect-AzAccount to login.
408
##[debug]STDERR: At D:\agent\a1_work\15\s\infra\deployment\ClusterManager\scripts\Set-Lease.ps1:163 char:5
409
##[debug]+ throw "Run Connect-AzAccount to login."
410
##[debug]
411
##[debug]STDERR: + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
412
##[debug]
413
##[debug]STDERR: + CategoryInfo : OperationStopped: (Run Connect-AzAccount to login.:String) [], RuntimeException
414
##[debug]
415
##[debug]STDERR: + FullyQualifiedErrorId : Run Connect-AzAccount to login.
416
##[debug]
417
##[debug]STDERR:
418
##[debug]
419
##[debug]Exit code: 1
420
##[debug]Leaving Invoke-VstsTool.
421
##[error]Run Connect-AzAccount to login.
422
At D:\agent\a1_work\15\s\infra\deployment\ClusterManager\scripts\Set-Lease.ps1:163 char:5
423
throw "Run Connect-AzAccount to login."
424
425
426
427
CategoryInfo : OperationStopped: (Run Connect-AzAccount to login.:String) [], RuntimeException
428
429
FullyQualifiedErrorId : Run Connect-AzAccount to login.
430
##[debug]Processed: ##vso[task.logissue type=error]Run Connect-AzAccount to login.%0D%0AAt D:\agent\a1_work\15\s\infra\deployment\ClusterManager\scripts\Set-Lease.ps1:163 char:5%0D%0A+ throw "Run Connect-AzAccount to login."%0D%0A%0D%0A+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~%0D%0A%0D%0A + CategoryInfo : OperationStopped: (Run Connect-AzAccount to login.:String) [%5D, RuntimeException%0D%0A%0D%0A + FullyQualifiedErrorId : Run Connect-AzAccount to login.
431
##[debug]Processed: ##vso[task.complete result=Failed]Error detected
432
##[debug]Importing function 'CmdletHasMember'.
433
##[debug]Importing function 'Disconnect-AzureAndClearContext'.
434
##[debug]Importing function 'Initialize-AzModule'.
435
##[debug]Importing function 'Initialize-Azure'.
436
##[debug]Importing function 'Initialize-AzureRMModule'.
437
##[debug]Importing function 'Remove-EndpointSecrets'.
438
##[debug]Trying to disconnect from Azure and clear context at process scope
439
##[debug]Cannot verify the Microsoft .NET Framework version 4.7.2 because it is not included in the list of permitted versions.
440
##[debug]Populating RepositorySourceLocation property for module Az.Accounts.
441
##[debug]Loading module from path 'C:\Program Files\WindowsPowerShell\Modules\Az.Accounts\1.6.2\Az.Accounts.psm1'.
442
##[command]Disconnect-AzAccount -Scope Process -ErrorAction Stop
443
##[command]Clear-AzContext -Scope Process -ErrorAction Stop
444
##[section]Finishing: Acquire Cluster Lease by Automation
Troubleshooting
Checkout how to troubleshoot failures and collect debug logs: https://docs.microsoft.com/en-us/vsts/build-release/actions/troubleshooting
Error logs
This is also blocking us severely. In our AzureDevOps Release pipeline, we get the following error when using Azure Powershell 4.*:
2019-10-23T03:29:36.4566280Z ##[error]New-AzApplicationInsights : No account found in the context. Please login using Connect-AzAccount.
One thing I am trying as a work around to get builds, etc going (while this is investigated) is to copy the previous version Azure PowerShell task as the latest version under the agent tasks. I am only able to do this since it is our private pool and I have access to the VMs.
The simple repro is to have an azure powershell task that runs a script that just calls Get-AzContext and verifies that the return value is non-null. Unfortunately, it may not be reproducible on all agent VMs …
From: Tarik Guney notifications@github.com
Sent: Tuesday, October 22, 2019 20:58
To: microsoft/azure-pipelines-tasks azure-pipelines-tasks@noreply.github.com
Cc: Jim Warner Jim.Warner@microsoft.com; Author author@noreply.github.com
Subject: Re: [microsoft/azure-pipelines-tasks] BLOCKED: Latest AzurePowershell@4 (4.159.2) -> Get-AzContext returns $null (#11621)
This is also blocking us severely. In our AzureDevOps Release pipeline, we get the following error when using Azure Powershell 4.*:
2019-10-23T03:29:36.4566280Z ##[error]New-AzApplicationInsights : No account found in the context. Please login using Connect-AzAccount.
—
You are receiving this because you authored the thread.
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Any updated on this?
This is also blocking us severely as multiple of our release tasks depend on the Az module, which means that depend on version 4 of the Azure powershell task. Currently ALL of our deployments are failing with the issue:
##[error]New-AzResourceGroupDeployment : Run Connect-AzAccount to login.
Any time-frame on a fix?
I'm also running into this issue. Simple reproduction as suggested by @jpwarner67 above:
Create new release definition
Add Azure PowerShell v4 task with this inline script:
$context = Get-AzContext
if ($context -eq $null) {
Write-Error "Context is null"
} else {
$context
}
Run
Observe failure.
NOTE: I can only reproduce on our self-hosted agent. The hosted agent (vs2017-win2016) works.
Agent version on self-hosted: 2.140.0
Agent version on hosted agent: 2.158.0
So perhaps updating the agent version will solve the problem (I don't have access to that in the affected organization, so I can't try it myself).
Hi, I see the script is trying to run 'Connect-AzAccount' command again. Azure PowerShell task already do so with the given service connection details.
Any reason why we are trying connect again? Are you trying to access a different subscription other than which is specified in the service connection?
I am not able to reproduce the issue in my private agent. For me "Get-AzContext" is working fine. I have installed Az module with the below command (as per Azure PS documentation)
Install-Module -Name Az -Repository PSGallery -Force
can you please check if the script you are running is working from local powershell on the agent machine?
Not sure what you mean by running Connect-AzAccount again. Our script is not doing that. It merely checks the context to change to a different sub if necessary. The context is $null in which case we are indicating that an interactive login needs to happen. Other folks call APIs in there scripts which do similar things and are expecting a context.
Again, see the canonical (simple) repro above and try different agents if necessary. It won't repro on every type of agent --- you may need to try several types of agents to see a repro. I haven't been able to narrow down agent differences where it does and does not repro.
Lastly, briefly looking at recent changes leading up to the latest Azure PowerShell task version, it shows that there were significant changes merged related to PowerShell core support(?). Not clear if that is related. In any case, this issue will be a significant problem if this is not addressed soon.
@niadak : I'm not sure what you mean by "I see the script is trying to run 'Connect-AzAccount' command again"
The repro script only calls Get-AzContext. It is the Azure PowerShell task which calls Connect-AzAccount and it seems to do it only once.
I have now also tried this in a different Azure DevOps organization. The agents there all run the Azure PowerShell task version 4.157.4, where it works fine. (I don't know why they aren't updating to 4.159.2).
@niadak: In your repro attempt on your self-hosted agent, did it use 4.159.2?
The exact same release definition with only a single task does not work in the original organization where the agent picks version 4.159.2.
In the original organization, we had a successful release of a service yesterday - but according to the logs from that it used version 4.157.4.
We've been troubleshooting this problem for several hours now.
We've in a very similar situation where up until today our deployment pipeline worked fine with version 4.157.4, from today we started experiencing issues connecting to Azure KeyVault where although it correctly connects (using Connect-AzAccount and then sets the correct subscription) it then fails to retrieve a secret from KeyVault, failing with an error:
2019-10-23T15:31:17.5247104Z ##[error]Get-AzKeyVaultSecret : Run Connect-AzAccount to login.
We can see from the logs that the new version of the task is: 4.159.2
Oddly, a temporary Azure Key Vault task also fails but with a "tunneling socket could not be established, statusCode=504" error. Not sure if this helps or is a red-herring.
This pipeline is running on a private hosted agent.
confirming we are seeing this problem on all of our jobs using Azure powershell tasks.
They all appear to fail due to the task failing to login.
We are mainly on vs2017-win2016 hosted agents.
problem started overnight with version 4.159.2 of the task.
yesterday all builds were successful running version 4.157.4 of the task.
I can also confirm that I am seeing this issue. One thing I noticed is that if I run against a hosted pool on our instance it works, but against a custom agent it's having issues, so it seems to be specific to the environment.
This appears to be the PR that created the .2 version of the task, and being that it deals with tokens, I believe it is likely related.
@ds-ms, @utk-ch ##
#11378
To work around this on a private agent, you can go to each agent directory _work_tasks\AzurePowerShell and rename 4.159.2 to 4.159.2_temp and then copy 4.157.4 and name it 4.159.2
This essentially forces a rollback to the previous version of the task before this bug was introduced.
I am facing the same issue with hosted agent. I have different scenario - release pipelines with version 3 (AzureRM module) and version 4 (Az module) tasks. The task AzurePowershell@4 works fine when it is alone in the release pipeline. It throws the same error "Run Connect-AzAccount to login." in th pipelines where task AzurePowershell@3 executed before. Same behaviour on WS2016-VS2017 and WS2019-VS2019 agents. "Use PowerShell Core" for @4 task doesn't help.
BTW, it use to work just fine as this week week Monday, when task version was 4.157.4.
Reproduction steps.
Create new release pipeline
add AzurePowershell@4, add inline script
Get-AzContext -ListAvailable
#Print API version for Microsoft.Web/sites
(Get-AzResourceProvider -ProviderNamespace Microsoft.Web | Select-Object -ExpandProperty ResourceTypes | Where-Object ResourceTypeName -eq 'sites' | Select-Object -ExpandProperty ApiVersions)[0]
Set Azure PS version to use latest
save and run pipeline, it will produce log like this:
2019-10-23T22:36:06.9473109Z ##[section]Starting: Azure PowerShell script: InlineScript copy 2019-10-23T22:36:06.9853269Z ============================================================================== 2019-10-23T22:36:06.9853450Z Task : Azure PowerShell 2019-10-23T22:36:06.9853549Z Description : Run a PowerShell script within an Azure environment 2019-10-23T22:36:06.9853620Z Version : 4.159.2 2019-10-23T22:36:06.9853699Z Author : Microsoft Corporation 2019-10-23T22:36:06.9853776Z Help : [Learn more about this task](https://go.microsoft.com/fwlink/?LinkID=613749) 2019-10-23T22:36:06.9853882Z ============================================================================== 2019-10-23T22:36:09.6769887Z ##[command]Import-Module -Name C:\Modules\az_2.6.0\Az.Accounts\1.6.2\Az.Accounts.psd1 -Global 2019-10-23T22:36:16.3574194Z ##[command]Clear-AzContext -Scope Process 2019-10-23T22:36:16.9856093Z ##[command]Clear-AzContext -Scope CurrentUser -Force -ErrorAction SilentlyContinue 2019-10-23T22:36:17.2716415Z ##[command]Connect-AzAccount -ServicePrincipal -Tenant *** -Credential System.Management.Automation.PSCredential -Environment AzureCloud 2019-10-23T22:36:18.2865997Z ##[command] Set-AzContext -SubscriptionId sub_guid -TenantId *** 2019-10-23T22:36:19.0737554Z Generating script. 2019-10-23T22:36:19.0737703Z ========================== Starting Command Output =========================== 2019-10-23T22:36:19.0737850Z ##[command]"C:\windows\System32\WindowsPowerShell\v1.0\powershell.exe" -NoLogo -NoProfile -NonInteractive -ExecutionPolicy Unrestricted -Command ". 'D:\a\_temp\d3c040b7-6af5-4405-baff-0531f91b53d9.ps1'" 2019-10-23T22:36:20.9812497Z 2019-10-23T22:36:20.9820744Z Name Account SubscriptionName Environment TenantId 2019-10-23T22:36:20.9831037Z ---- ------- ---------------- ----------- -------- 2019-10-23T22:36:20.9831854Z SUB_Name (Sub_guid... SUB_Name AzureCloud tenant_guid ... 2019-10-23T22:36:25.0418484Z 2018-11-01 2019-10-23T22:36:25.0419082Z 2019-10-23T22:36:25.0419313Z 2019-10-23T22:36:25.1515208Z ##[command]Disconnect-AzAccount -Scope Process -ErrorAction Stop 2019-10-23T22:36:25.4524052Z ##[command]Clear-AzContext -Scope Process -ErrorAction Stop 2019-10-23T22:36:25.6891124Z ##[section]Finishing: Azure PowerShell script: InlineScript copy
Clone task
move clone to be first task in pipeline,
switch version to @3
change inline script to Get-AzureRMResourceGroup
Save and run pipeline, the original tasks will fail with log similar to this:
2019-10-23T22:54:34.0043017Z ##[section]Starting: Azure PowerShell script: InlineScript copy
2019-10-23T22:54:34.0163328Z ==============================================================================
2019-10-23T22:54:34.0163442Z Task : Azure PowerShell
2019-10-23T22:54:34.0163525Z Description : Run a PowerShell script within an Azure environment
2019-10-23T22:54:34.0163593Z Version : 4.159.2
2019-10-23T22:54:34.0163665Z Author : Microsoft Corporation
2019-10-23T22:54:34.0163739Z Help : Learn more about this task
2019-10-23T22:54:34.0163838Z ==============================================================================
2019-10-23T22:54:36.2023768Z ##[command]Import-Module -Name C:\Modules\az_2.6.0\Az.Accounts\1.6.2\Az.Accounts.psd1 -Global
2019-10-23T22:54:42.4558939Z ##[command]Clear-AzContext -Scope Process
2019-10-23T22:54:43.1413761Z ##[command]Clear-AzContext -Scope CurrentUser -Force -ErrorAction SilentlyContinue
2019-10-23T22:54:43.4686903Z ##[command]Connect-AzAccount -ServicePrincipal -Tenant *** -Credential System.Management.Automation.PSCredential -Environment AzureCloud
2019-10-23T22:54:44.4501145Z ##[command] Set-AzContext -SubscriptionId Sub_guid -TenantId ***
2019-10-23T22:54:44.8961373Z Generating script.
2019-10-23T22:54:44.9681645Z ========================== Starting Command Output ===========================
2019-10-23T22:54:44.9805198Z ##[command]"C:\windows\System32\WindowsPowerShell\v1.0\powershell.exe" -NoLogo -NoProfile -NonInteractive -ExecutionPolicy Unrestricted -Command ". 'D:\a_temp\38a4a013-fa69-4ee6-ae2d-35245a263c51.ps1'"
2019-10-23T22:54:48.5239658Z ##[error]Get-AzResourceProvider : Run Connect-AzAccount to login.
At D:\a_temp\38a4a013-fa69-4ee6-ae2d-35245a263c51.ps1:4 char:2
(Get-AzResourceProvider -ProviderNamespace Microsoft.Web | Select-Obj ...
+ CategoryInfo : CloseError: (:) [Get-AzResourceProvider], PSInvalidOperationException
+ FullyQualifiedErrorId : Microsoft.Azure.Commands.ResourceManager.Cmdlets.Implementation.GetAzureProviderCmdlet
2019-10-23T22:54:48.5689377Z ##[command]Disconnect-AzAccount -Scope Process -ErrorAction Stop
2019-10-23T22:54:48.8171474Z ##[command]Clear-AzContext -Scope Process -ErrorAction Stop
2019-10-23T22:54:49.0594407Z ##[section]Finishing: Azure PowerShell script: InlineScript copy
We're experiencing the same error. Our tasks with 4.1.157.4 work fine, but when they were updated to 4.1.159.0, they stopped working.
Looking at it. Will update shortly
To work around this on a private agent, you can go to each agent directory _work_tasks\AzurePowerShell and rename 4.159.2 to 4.159.2_temp and then copy 4.157.4 and name it 4.159.2
This essentially forces a rollback to the previous version of the task before this bug was introduced.
Won't the agents automatically update the task when you go to run again?
@KyleZielinski It will not update the task if the folder 4.159.2 is already present.
Just to update here, we are preparing a fix and will rollout the fix. Will update once the fix is available.
@niadak Thanks! It was the news we all have been expecting!
This appears to be the PR that created the .2 version of the task, and being that it deals with tokens, > I believe it is likely related.
@ds-ms, @utk-ch ##
#11378
@KyleZielinski The fix in that PR could have impacted the flow if your self-hosted agent is Linux based, but from the logs it looks like yours is a windows based agent.
Hi All, We have rolled out V4.159.3 with a fix for the issue. Please try now and let us know if you are still facing the issue.
4.159.3 works on our agents. Thank you for the quick fix.
Also works on our hosted agents. Thanks for the fix!
Seems to be working in my scenario. Thank you for quick fix!
any relationship why i'm getting different error now?
2019-10-24T12:45:12.3720247Z ##[command]Clear-AzContext -Scope Process -ErrorAction Stop
2019-10-24T12:45:12.7980448Z ##[debug]Caught exception from task script.
2019-10-24T12:45:12.8011476Z ##[debug]Error record:
2019-10-24T12:45:12.8725302Z ##[debug]Set-AzResourceGroup : Operation returned an invalid status code 'Forbidden'
2019-10-24T12:45:12.8735795Z ##[debug]At D:\a\_temp\60db5fb7-37dd-4fd5-9707-583306628241.ps1:1 char:1
2019-10-24T12:45:12.8747306Z ##[debug]+ Set-AzResourceGroup -Name 123 -Tag @{Department="IT"}
2019-10-24T12:45:12.8759767Z ##[debug]+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2019-10-24T12:45:12.8773460Z ##[debug] + CategoryInfo : CloseError: (:) [Set-AzResourceGroup], CloudException
2019-10-24T12:45:12.8785736Z ##[debug] + FullyQualifiedErrorId : Microsoft.Azure.Commands.ResourceManager.Cmdlets.Implementation.SetAzureResourceGroupCmd let
2019-10-24T12:45:12.8799485Z ##[debug]
Closing this issue as this is fixed.
@majorvin , Not sure if this is related. Seems like the script is failing for some reason. Feel free to create a new issue for it if required..
Thanks! I have verified the fix in our VM pools.
Quick question, is/will the repro be added to tests for future releases?
Thanks
Thank you, 4.159.3 fix worked for us.
Works now! Thanks.
Ack, fixed.
We're still getting this error when we select the "Powershell Core" option in the Azure PowerShell task.
I'm still seeing the issue as well when I select the "Powershell Core" option but in my case it's on a private agent
Can someone tells me how to apply the fix V4.159.3?
We recently began using TFS 2019.
We have a windows agent where we are running Azure PowerShell script.
We are using version 4.0 preview version of powershell task
It fails with error: "Object reference not set to an instance of object"
@NickGraham101 I am also seeing this issue in V4.159.3.
@brushwood24 The issue is still there in V4.159.3 version when "Powershell Core" option is enabled and we are fixing the issue in V5 task and the task will be available in next update.
There is no easy workaround for V4.159.3 version if you want to use PowerShell-Core option.
@rajcheval , Which version of the task you are using? You can upload the new version of the task to the TFS 2019 instance using tfx command line tool.
@niadak when to expect V5 on hosted agents? I want to move my client to PS Core and this issue is preventing us from this.
AzurePowerShellV5 will be deployed in next sprint deployment. It will take ~3 weeks to reach all the accounts.
4.159.7 is causing the same issue, how can we revert back to 4.159.3 on hosted agents?
I am having same issue with task: AzurePowerShell@5
When I list Get-ChildItem '/usr/share' what I see is below;
d----- 12/10/19 12:34 AM az_1.0.0
d----- 12/10/19 12:34 AM az_1.6.0
d----- 12/10/19 12:34 AM az_2.3.2
d----- 12/10/19 12:35 AM az_2.6.0
I guess there should be higher versions?
|
gharchive/issue
| 2019-10-23T00:29:46 |
2025-04-01T04:35:02.109727
|
{
"authors": [
"Andy-bridle",
"BurgerVanDan",
"CYoderDev",
"KyleZielinski",
"NateB2",
"NickGraham101",
"NullReferenceEx",
"bluem9",
"brushwood24",
"ds-ms",
"gaikovoi",
"gunnertwin",
"jpwarner67",
"majorvin",
"niadak",
"rajcheval",
"reyou",
"rwatjen",
"tarikguney"
],
"repo": "microsoft/azure-pipelines-tasks",
"url": "https://github.com/microsoft/azure-pipelines-tasks/issues/11621",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2518888948
|
Deployed successfully but chat returns "404 Resource not found"
I deployed the app to Azure, the login works and i can create a new chat, but when I try to input something it returns with the error "404 Resource not found". I would appreciate any advice on why this can be. Do I need to set further environment variables that are not listed in the documentation?
This was caused by a wrong API version in the environment variables. To fix the issue, change "AZURE_OPENAI_API_VERSION" to "2023-12-01-preview"
change "AZURE_OPENAI_API_VERSION" to "2023-12-01-preview"
thanks for posting the fix
This will now work with more recent API version including "2024-10-21"
|
gharchive/issue
| 2024-09-11T07:54:48 |
2025-04-01T04:35:02.120306
|
{
"authors": [
"AshForde",
"aeholt97",
"krome-pdcar",
"saviorabelo"
],
"repo": "microsoft/azurechat",
"url": "https://github.com/microsoft/azurechat/issues/426",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
619267120
|
DacFx wizard: Extremely Large Versions Incorrectly Pass Validation
If you do an Extract and put an arbitrarily large number for the version, the error message you get back isn't super helpful (I'm assuming the version number passed in is too high). Maybe we could add in some further validation in the wizard?
TODO : add a validation in the Field.
should just remove version, as mentioned in https://github.com/microsoft/azuredatastudio/issues/4469
|
gharchive/issue
| 2020-05-15T21:28:29 |
2025-04-01T04:35:02.122152
|
{
"authors": [
"chlafreniere",
"kisantia",
"udeeshagautam"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/issues/10450",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
622103840
|
C# load csx script not working with relative paths
Azure Data Studio Version: 1.18.0
Steps to Reproduce:
Enable Notebook: Show All Kernels on Settings under Features->Notebook.
Create a simple Test.csx file under a Scripts folder in the root of your repo.
Create a Jupyter notebook and switch to C# kernel.
Add a code cell with the following statement: #load ".\Scripts\Test.csx"
Verify error displays: error CS1504: Source file '.\Scripts\Test.csx' could not be opened -- Could not find file.
Can also confirm working directory is not the repo root by using this code script in the notebook: Console.WriteLine(System.IO.Directory.GetCurrentDirectory());
Confirmed this works when using Jupyter notebook outside ADS
We've seen this bug manifested in a couple of ways. We'll take a look at this.
|
gharchive/issue
| 2020-05-20T21:45:20 |
2025-04-01T04:35:02.125439
|
{
"authors": [
"chlafreniere",
"miguelelvir"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/issues/10530",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1095616649
|
VSCode Merge breaks Mac Build
OS Version: OSX Monterey
Steps to Reproduce:
Developing on Mac for ADS.
Pull latest from main
Run Yarn
See Playwright error.
I see that the version we use for playwright is 1.12.3 and there was an issue regarding this on their repo recently as well which is fixed but requires the new version of playwright: https://github.com/microsoft/playwright/issues/10457
It looks like playwright fixed this issue here: https://github.com/microsoft/playwright/issues/10354 which will go out in their 1.18 release.
cc: @Charles-Gagnon
The error in the linked issue is different than the issue you showed me (please include that in the bug description). Is there any reason that you think they're related other than the linked issue is talking about MacOS12?
VS Code is still on 1.17.1 and I would be very surprised if they were just ignoring this issue so I assume that there's an update between our version (1.12.3) and 1.17.1 that fixes it.
I can't really help here though as I don't have a mac to test with...
Updated comment - I can update to 1.17.1 to be on par with VS Code then.
|
gharchive/issue
| 2022-01-06T19:15:21 |
2025-04-01T04:35:02.129678
|
{
"authors": [
"Charles-Gagnon",
"VasuBhog"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/issues/18003",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
369676829
|
Command-G does not show/hide servers panel
Issue Type: Bug
The Cmd-G shortcut only show the servers panel, but does not hide the servers panel.
Recommendation
Make these shortcuts show and hide panels rather than only show them.
Azure Data Studio version: Azure Data Studio 1.0.0 (cab8f3e37c9ac4367e0dacef5185da08bd8021c2, 2018-09-20T21:41:50.803Z)
OS version: Darwin x64 17.7.0
System Info
Item
Value
CPUs
Intel(R) Core(TM) i7-7920HQ CPU @ 3.10GHz (8 x 3100)
GPU Status
2d_canvas: enabledchecker_imaging: disabled_offflash_3d: enabledflash_stage3d: enabledflash_stage3d_baseline: enabledgpu_compositing: enabledmultiple_raster_threads: enabled_onnative_gpu_memory_buffers: enabledrasterization: enabledvideo_decode: enabledvideo_encode: enabledwebgl: enabledwebgl2: enabled
Load (avg)
1, 1, 1
Memory (System)
16.00GB (7.94GB free)
Process Argv
/Applications/Azure Data Studio.app/Contents/MacOS/Electron
Screen Reader
no
VM
0%
Extensions (4)
Extension
Author (truncated)
Version
agent
Mic
0.33.0
import
Mic
0.2.0
profiler
Mic
0.2.0
sql-vnext
Mic
0.6.9
Hi @gengelbms - thanks for logging this...many moons ago :)
We're going through the backlog and @lewis-sanchez and I reviewed this request, and we also looked at the list of shortcuts within the Command Palette (type keyboard shortcuts to see everything).
Within keyboard shortcuts, we have CTRL + SHIFT + D documented as View: Show Connections, and CTRL + B documented as Toggle Primary Side Bar Visibility.
If you are anywhere in ADS and use CTRL + SHIFT + D, it changes focus to the connections side bar. Where CTRL + B opens or closes whatever sidebar you are in (Connections. Notebooks, etc.). This behavior is by design, and my suggestion would be to use CTRL + B to open/close the side bar, no matter where you are.
Hope that helps!
|
gharchive/issue
| 2018-10-12T19:12:58 |
2025-04-01T04:35:02.138680
|
{
"authors": [
"erinstellato-ms",
"gengelbms"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/issues/2833",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
429798453
|
Feature request: Show time that a cell was executed at and execution duration in notebooks
Azure Data Studio Version:
Steps to Reproduce:
Run a cell that takes awhile. Get coffee, come back. Cool, it's done! How long did it actually take to run though?
Run a cell. Get coffee, come back. What time did I run that cell at again?
Very useful. However, there should also be a way to turn them off.
This is definitely something that would be beneficial for me/my use case.
The datetime of a given cell executing within a SQL Notebook (in my case) would allow me to use notebooks as a work confirmation tool working through a notebook with multiple cells. This means that we can use a notebook as a means of saying "Look, this is what the query came back with yesterday", or "Look, this is what I ran last night to resolve the problems on replication on PROD".
The tool does a nice job of showing the execution time on each cell. Sure would be nice to configure the workbook to included a UTC date timestamp on every cell execution.
Really would help when sharing a workbook with other engineers, so they can see when the data was extracted. Especially useful when query Azure Logs, since many queries typically use where clause with relative date-time, e.g.
"Where TimeGenerated > ago(1h)"
Yes, the results are there, but because the timestamp is missing, we have no clue what ago(1h) was.
This one has been requested a while ago and it's time to get it of the backlog and into development. Shouldn't be that hard?
|
gharchive/issue
| 2019-04-05T14:57:39 |
2025-04-01T04:35:02.142456
|
{
"authors": [
"NerdicSQL",
"RickDMyers",
"dejan-shuki",
"nielsvdc",
"twright-msft"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/issues/4877",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
436919764
|
Notebooks: Low contrast ratio for colored text in light theme
Azure Data Studio Version: 1.7.0-insider
System: MacOS 10.14.4
Steps to Reproduce:
Open a notebook with ADS in default light theme
Run a code cell that results in a warning or error (red text and/or yellow text)
Notice the low contrast and legibility against the light background
Switching the app theme to dark results in greater contrast. Seems as though the text color is not changing properly to account for the different themes.
Closing out older issues. The current Notebook UI has went through contrast ratio testing and has addressed all the bugs reported in that process. Thanks!
|
gharchive/issue
| 2019-04-24T21:40:34 |
2025-04-01T04:35:02.145785
|
{
"authors": [
"angdesign",
"kburtram"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/issues/5186",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
715244301
|
conditional env var MSSQL_PACKAGE
conditionally add the env var MSSQL_PACKAGE
Pull Request Test Coverage Report for Build 290407253
0 of 0 changed or added relevant lines in 0 files are covered.
4 unchanged lines in 1 file lost coverage.
Overall coverage decreased (-0.01%) to 39.574%
Files with Coverage Reduction
New Missed Lines
%
extensions/notebook/src/jupyter/serverInstance.ts
4
74.52%
Totals
Change from base Build 290346295:
-0.01%
Covered Lines:
19895
Relevant Lines:
45945
💛 - Coveralls
|
gharchive/pull-request
| 2020-10-06T00:14:12 |
2025-04-01T04:35:02.151789
|
{
"authors": [
"alanrenmsft",
"coveralls"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/pull/12757",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1020342917
|
Fix schema compare results showing at bottom after no differences
This PR fixes #17249. Not sure why this was happening only for the "no differences" state to "differences" state since going from "initial" state to "differences" state is the same thing and doesn't have this problem, but looks like just changing the order of removing and adding the items fixed this.
before:
fixed:
Pull Request Test Coverage Report for Build 1317450859
3 of 3 (100.0%) changed or added relevant lines in 1 file are covered.
6 unchanged lines in 2 files lost coverage.
Overall coverage decreased (-0.009%) to 41.578%
Files with Coverage Reduction
New Missed Lines
%
extensions/notebook/src/book/bookTreeView.ts
2
36.59%
extensions/notebook/src/common/ports.ts
4
74.14%
Totals
Change from base Build 1317430399:
-0.009%
Covered Lines:
26736
Relevant Lines:
58217
💛 - Coveralls
|
gharchive/pull-request
| 2021-10-07T18:35:49 |
2025-04-01T04:35:02.159870
|
{
"authors": [
"coveralls",
"kisantia"
],
"repo": "microsoft/azuredatastudio",
"url": "https://github.com/microsoft/azuredatastudio/pull/17299",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
782385209
|
[Samples] Add 17.multilingual-bot sample
Fixes #868
[X] Migration
[X] Testing
Description
We are adding the sample 17.multilingual-bot in Java having into account the C# 17.multilingual-bot present in BotBuilder-Samples repository.
Specific Changes
Generate main structure of the sample
Add bots folder with the MultiLingualBot.java class
Add cards folder with welcomeCard.json
Add deploymentTemplates folder
Add translation folder including the model folder and classes
Add root files
Add application.properties
Add LICENSE document
Add README document to describe the steps to run the sample
Testing
We are currently testing the migrated sample. As soon as it's validated, it will be ready to be merged.
Current behavior of the Java migrated sample
@tracyboehrer & @LeeParrishMSFT - the sample is correctly working and the PR is ready to be merged!
@tracyboehrer & @LeeParrishMSFT - the sample is correctly working and the PR is ready to be merged!
|
gharchive/pull-request
| 2021-01-08T20:44:25 |
2025-04-01T04:35:02.165867
|
{
"authors": [
"Batta32"
],
"repo": "microsoft/botbuilder-java",
"url": "https://github.com/microsoft/botbuilder-java/pull/898",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
749950259
|
Revert "feat: immediate accept"
Reverts microsoft/botbuilder-js#2950
Pull Request Test Coverage Report for Build 381698678
0 of 0 changed or added relevant lines in 0 files are covered.
49 unchanged lines in 2 files lost coverage.
Overall coverage decreased (-0.04%) to 84.749%
Files with Coverage Reduction
New Missed Lines
%
libraries/adaptive-expressions/src/triggerTrees/node.ts
10
90.51%
libraries/botbuilder/src/botFrameworkAdapter.ts
39
88.53%
Totals
Change from base Build 381617353:
-0.04%
Covered Lines:
17334
Relevant Lines:
19529
💛 - Coveralls
@stevengum there was some impedance mismatch between what the Health Bot team wanted and what we delivered. Rather than leaving stale code in the SDK, it seems better to remove it.
Alternatively, if this still seems like something that other customers could make use of, we can just revert it from the 4.11 branch.
Since there is nothing pressing on this implementation being shipped, we’ll have more bake time for the requested feature.
|
gharchive/pull-request
| 2020-11-24T18:41:24 |
2025-04-01T04:35:02.173610
|
{
"authors": [
"coveralls",
"joshgummersall",
"stevengum"
],
"repo": "microsoft/botbuilder-js",
"url": "https://github.com/microsoft/botbuilder-js/pull/3092",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
546431590
|
[PORT] Add argument "--framework netcoreapp3.0" to Create PublishedBot.zip
Port this change from botbuilder-dotnet/master branch:
https://github.com/microsoft/botbuilder-dotnet/pull/3224
Fixes "error : The 'Publish' target is not supported without specifying a target framework"
(I picked 3.0 instead of 2.1 or 2.2. It seems to work in my test build, but this ought to tell for sure.)
Not Applicable
|
gharchive/issue
| 2020-01-07T18:12:57 |
2025-04-01T04:35:02.175585
|
{
"authors": [
"axelsrz",
"tomlm"
],
"repo": "microsoft/botbuilder-python",
"url": "https://github.com/microsoft/botbuilder-python/issues/569",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
538039424
|
Add ClrGenericParameter
Contributes to #408
QueryInterface returns E_NOINTERFACE for IID_IMetaDataImport2 on .NET Framework. Using IID_IMetaDataImport as a workaround, since IMetaDataImport2 is available since .NET Framework 2.0.
I need to call QueryInterface on IMetaDataImport with IID_IMetaDataImport2 to get IMetaDataImport2, which isn't possible with the current CallableCOMWrapper implementation. Shall I just use IID_IMetaDataImport based on the fact that the two interfaces are the same (since .NET Framework 2.0)?
Sure. Or change CallableCOMWrapper to expose what it should, whichever you think is better or more efficient for you. CallableCOMWrapper is intentionally marked public and should support what you are trying to do, but don't feel you need to fix it.
|
gharchive/pull-request
| 2019-12-15T11:44:05 |
2025-04-01T04:35:02.182231
|
{
"authors": [
"NextTurn",
"leculver"
],
"repo": "microsoft/clrmd",
"url": "https://github.com/microsoft/clrmd/pull/431",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
567299651
|
Failing to build HelloWinUICppWinRT
Just starting to evaluate the C++/WinRT. I created the HelloWinUICppWinRT as described here. I installed the "C++ (v142) Universal Windows Platfrom tools", "C++/WinRT Visual Studio Extension (VSIX)" and the corresponding NuGet package. But the blank new project doesn't compile/link with following error messages:
1>main.obj : error LNK2019: unresolved external symbol _WINRT_IMPL_SetErrorInfo@8 referenced in function "private: static int __stdcall winrt::hresult_error::fallback_RoOriginateLanguageException(int,void *,void *)" (?fallback_RoOriginateLanguageException@hresult_error@winrt@@CGHHPAX0@Z) 1>main.obj : error LNK2019: unresolved external symbol _WINRT_IMPL_GetErrorInfo@8 referenced in function "public: __thiscall winrt::hresult_error::hresult_error(struct winrt::hresult,struct winrt::take_ownership_from_abi_t)" (??0hresult_error@winrt@@QAE@Uhresult@1@Utake_ownership_from_abi_t@1@@Z)
I'm on Visual Studio 2019, Windows 10 1809.
It seems that at least for the console application it is enough to add "ole32.lib;oleaut32.lib" as per #520. But for XAML app I'm still getting:
``
XamlTypeInfo.g.obj : error LNK2001: unresolved external symbol _WINRT_IMPL_LoadLibraryW@4
1>XamlMetaDataProvider.obj : error LNK2001: unresolved external symbol _WINRT_IMPL_LoadLibraryW@4
1>App.obj : error LNK2001: unresolved external symbol _WINRT_IMPL_LoadLibraryW@4
1>MainPage.obj : error LNK2001: unresolved external symbol _WINRT_IMPL_LoadLibraryW@4
1>module.g.obj : error LNK2001: unresolved external symbol _WINRT_IMPL_LoadLibraryW@4
1>XamlTypeInfo.Impl.g.obj : error LNK2001: unresolved external symbol _WINRT_IMPL_LoadLibraryW@4
1
``
OK, it looks I can solve it by adding "ole32.lib;oleaut32.lib;Kernel32.lib" to the AdditionalDependencies.
Glad you found a workaround. Libs are a bit of an issue today. #488
I had exactly the same issue today with an empty, VS Studio generated C++/WinRT console project (also desktop project).
Visual Studio Professional 2022 17.8.6, Windows 10 22H2.
Adding "ole32.lib;oleaut32.lib;Kernel32.lib" to the AdditionalDependencies also fixes the error.
|
gharchive/issue
| 2020-02-19T03:57:57 |
2025-04-01T04:35:02.193731
|
{
"authors": [
"JX75",
"kennykerr",
"pavelpokutnev"
],
"repo": "microsoft/cppwinrt",
"url": "https://github.com/microsoft/cppwinrt/issues/532",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
751942993
|
Errors of Notebook: The Causal Story Behind Hotel Booking Cancellations
Hi, Thank you for creating such a great library for causal inference ! I am currently starting to learn the library through the provided notebook: The Causal Story Behind Hotel Booking Cancellations. Everything goes well before the identification step. However, when performing the identification, the model returns a total of 258 estimand instead of only one estimand in the given example. Then, the estiimation throw an error: ValueError: Input contains NaN, infinity or a value too large for dtype('float64'). Since I am not quite familiar with the library, could you explain what happens and how to fix this error? Thank you very much !
Estimand type: nonparametric-ate
### Estimand : 1
Estimand name: backdoor1
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,booking_changes))
d[different_room_assigned]
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,booking_changes)
### Estimand : 2
Estimand name: backdoor2
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,bookin
d[different_room_assigned]
g_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,booking_changes)
### Estimand : 3
Estimand name: backdoor3
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,booking_changes)
### Estimand : 4
Estimand name: backdoor4
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,booking_changes)
### Estimand : 5
Estimand name: backdoor5
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,booking_chan
d[different_room_assigned]
ges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,booking_changes)
### Estimand : 6
Estimand name: backdoor6
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,booking_ch
d[different_room_assigned]
anges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,booking_changes)
### Estimand : 7
Estimand name: backdoor7
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,market_segment,bo
d[different_room_assigned]
oking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,market_segment,booking_changes)
### Estimand : 8
Estimand name: backdoor8
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,country,booking_c
d[different_room_assigned]
hanges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,country,booking_changes)
### Estimand : 9
Estimand name: backdoor9
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,previous_bookings
d[different_room_assigned]
_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,previous_bookings_not_canceled,booking_changes)
### Estimand : 10
Estimand name: backdoor10
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,booking_changes)
### Estimand : 11
Estimand name: backdoor11
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,booking_changes)
### Estimand : 12
Estimand name: backdoor12
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,b
d[different_room_assigned]
ooking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,booking_changes)
### Estimand : 13
Estimand name: backdoor13
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,booking_changes)
### Estimand : 14
Estimand name: backdoor14
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,market
d[different_room_assigned]
_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,booking_changes)
### Estimand : 15
Estimand name: backdoor15
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,countr
d[different_room_assigned]
y,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,country,booking_changes)
### Estimand : 16
Estimand name: backdoor16
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,previo
d[different_room_assigned]
us_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,previous_bookings_not_canceled,booking_changes)
### Estimand : 17
Estimand name: backdoor17
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,booking_changes)
### Estimand : 18
Estimand name: backdoor18
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,booking_changes)
### Estimand : 19
Estimand name: backdoor19
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,booking_changes)
### Estimand : 20
Estimand name: backdoor20
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,booking_changes)
### Estimand : 21
Estimand name: backdoor21
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,country,booking_changes)
### Estimand : 22
Estimand name: backdoor22
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,previous_bookings_not_canceled,booking_changes)
### Estimand : 23
Estimand name: backdoor23
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,booking_changes)
### Estimand : 24
Estimand name: backdoor24
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,booking_changes)
### Estimand : 25
Estimand name: backdoor25
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,booking_changes)
### Estimand : 26
Estimand name: backdoor26
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,country,booking_changes)
### Estimand : 27
Estimand name: backdoor27
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes)
### Estimand : 28
Estimand name: backdoor28
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,booki
d[different_room_assigned]
ng_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,booking_changes)
### Estimand : 29
Estimand name: backdoor29
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,market_segme
d[different_room_assigned]
nt,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,market_segment,booking_changes)
### Estimand : 30
Estimand name: backdoor30
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,country,book
d[different_room_assigned]
ing_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,country,booking_changes)
### Estimand : 31
Estimand name: backdoor31
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,previous_boo
d[different_room_assigned]
kings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 32
Estimand name: backdoor32
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,market_seg
d[different_room_assigned]
ment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,market_segment,booking_changes)
### Estimand : 33
Estimand name: backdoor33
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,country,bo
d[different_room_assigned]
oking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,country,booking_changes)
### Estimand : 34
Estimand name: backdoor34
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,previous_b
d[different_room_assigned]
ookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 35
Estimand name: backdoor35
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,market_segment,co
d[different_room_assigned]
untry,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,market_segment,country,booking_changes)
### Estimand : 36
Estimand name: backdoor36
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,market_segment,pr
d[different_room_assigned]
evious_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 37
Estimand name: backdoor37
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,country,previous_
d[different_room_assigned]
bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 38
Estimand name: backdoor38
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,booking_changes)
### Estimand : 39
Estimand name: backdoor39
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,booking_changes)
### Estimand : 40
Estimand name: backdoor40
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,booking_changes)
### Estimand : 41
Estimand name: backdoor41
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,booking_changes)
### Estimand : 42
Estimand name: backdoor42
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,country,booking_changes)
### Estimand : 43
Estimand name: backdoor43
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,previous_bookings_not_canceled,booking_changes)
### Estimand : 44
Estimand name: backdoor44
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,booking_changes)
### Estimand : 45
Estimand name: backdoor45
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,booking_changes)
### Estimand : 46
Estimand name: backdoor46
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,booking_changes)
### Estimand : 47
Estimand name: backdoor47
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,country,booking_changes)
### Estimand : 48
Estimand name: backdoor48
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes)
### Estimand : 49
Estimand name: backdoor49
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,booking_changes)
### Estimand : 50
Estimand name: backdoor50
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,m
d[different_room_assigned]
arket_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,booking_changes)
### Estimand : 51
Estimand name: backdoor51
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,c
d[different_room_assigned]
ountry,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,country,booking_changes)
### Estimand : 52
Estimand name: backdoor52
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,p
d[different_room_assigned]
revious_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 53
Estimand name: backdoor53
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,booking_changes)
### Estimand : 54
Estimand name: backdoor54
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,country,booking_changes)
### Estimand : 55
Estimand name: backdoor55
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 56
Estimand name: backdoor56
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,market
d[different_room_assigned]
_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,country,booking_changes)
### Estimand : 57
Estimand name: backdoor57
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,market
d[different_room_assigned]
_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 58
Estimand name: backdoor58
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,countr
d[different_room_assigned]
y,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 59
Estimand name: backdoor59
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,booking_changes)
### Estimand : 60
Estimand name: backdoor60
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,booking_changes)
### Estimand : 61
Estimand name: backdoor61
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,booking_changes)
### Estimand : 62
Estimand name: backdoor62
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,country,booking_changes)
### Estimand : 63
Estimand name: backdoor63
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes)
### Estimand : 64
Estimand name: backdoor64
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,booking_changes)
### Estimand : 65
Estimand name: backdoor65
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,booking_changes)
### Estimand : 66
Estimand name: backdoor66
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,country,booking_changes)
### Estimand : 67
Estimand name: backdoor67
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 68
Estimand name: backdoor68
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,booking_changes)
### Estimand : 69
Estimand name: backdoor69
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,country,booking_changes)
### Estimand : 70
Estimand name: backdoor70
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 71
Estimand name: backdoor71
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,country,booking_changes)
### Estimand : 72
Estimand name: backdoor72
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 73
Estimand name: backdoor73
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 74
Estimand name: backdoor74
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,booking_changes)
### Estimand : 75
Estimand name: backdoor75
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,booking_changes)
### Estimand : 76
Estimand name: backdoor76
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,country,booking_changes)
### Estimand : 77
Estimand name: backdoor77
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 78
Estimand name: backdoor78
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,booking_changes)
### Estimand : 79
Estimand name: backdoor79
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,country,booking_changes)
### Estimand : 80
Estimand name: backdoor80
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 81
Estimand name: backdoor81
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,country,booking_changes)
### Estimand : 82
Estimand name: backdoor82
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 83
Estimand name: backdoor83
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 84
Estimand name: backdoor84
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,marke
d[different_room_assigned]
t_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,booking_changes)
### Estimand : 85
Estimand name: backdoor85
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,count
d[different_room_assigned]
ry,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,country,booking_changes)
### Estimand : 86
Estimand name: backdoor86
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,previ
d[different_room_assigned]
ous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 87
Estimand name: backdoor87
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,market_segme
d[different_room_assigned]
nt,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,market_segment,country,booking_changes)
### Estimand : 88
Estimand name: backdoor88
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,market_segme
d[different_room_assigned]
nt,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 89
Estimand name: backdoor89
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,country,prev
d[different_room_assigned]
ious_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 90
Estimand name: backdoor90
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,market_seg
d[different_room_assigned]
ment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,market_segment,country,booking_changes)
### Estimand : 91
Estimand name: backdoor91
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,market_seg
d[different_room_assigned]
ment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 92
Estimand name: backdoor92
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,country,pr
d[different_room_assigned]
evious_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 93
Estimand name: backdoor93
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,market_segment,co
d[different_room_assigned]
untry,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 94
Estimand name: backdoor94
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,booking_changes)
### Estimand : 95
Estimand name: backdoor95
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,booking_changes)
### Estimand : 96
Estimand name: backdoor96
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,booking_changes)
### Estimand : 97
Estimand name: backdoor97
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,country,booking_changes)
### Estimand : 98
Estimand name: backdoor98
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_change
s))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,previous_bookings_not_canceled,booking_changes)
### Estimand : 99
Estimand name: backdoor99
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,booking_changes)
### Estimand : 100
Estimand name: backdoor100
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,booking_changes)
### Estimand : 101
Estimand name: backdoor101
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,country,booking_changes)
### Estimand : 102
Estimand name: backdoor102
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 103
Estimand name: backdoor103
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,booking_changes)
### Estimand : 104
Estimand name: backdoor104
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,country,booking_changes)
### Estimand : 105
Estimand name: backdoor105
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 106
Estimand name: backdoor106
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,country,booking_changes)
### Estimand : 107
Estimand name: backdoor107
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 108
Estimand name: backdoor108
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 109
Estimand name: backdoor109
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,booking_changes)
### Estimand : 110
Estimand name: backdoor110
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,booking_changes)
### Estimand : 111
Estimand name: backdoor111
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,country,booking_changes)
### Estimand : 112
Estimand name: backdoor112
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 113
Estimand name: backdoor113
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,booking_changes)
### Estimand : 114
Estimand name: backdoor114
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,country,booking_changes)
### Estimand : 115
Estimand name: backdoor115
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 116
Estimand name: backdoor116
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,country,booking_changes)
### Estimand : 117
Estimand name: backdoor117
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 118
Estimand name: backdoor118
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 119
Estimand name: backdoor119
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,booking_changes)
### Estimand : 120
Estimand name: backdoor120
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,country,booking_changes)
### Estimand : 121
Estimand name: backdoor121
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 122
Estimand name: backdoor122
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,m
d[different_room_assigned]
arket_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,country,booking_changes)
### Estimand : 123
Estimand name: backdoor123
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,m
d[different_room_assigned]
arket_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 124
Estimand name: backdoor124
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,c
d[different_room_assigned]
ountry,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 125
Estimand name: backdoor125
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,country,booking_changes)
### Estimand : 126
Estimand name: backdoor126
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 127
Estimand name: backdoor127
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 128
Estimand name: backdoor128
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,market
d[different_room_assigned]
_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 129
Estimand name: backdoor129
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,booking_changes)
### Estimand : 130
Estimand name: backdoor130
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,booking_changes)
### Estimand : 131
Estimand name: backdoor131
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,booking_changes)
### Estimand : 132
Estimand name: backdoor132
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 133
Estimand name: backdoor133
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,booking_changes)
### Estimand : 134
Estimand name: backdoor134
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,booking_changes)
### Estimand : 135
Estimand name: backdoor135
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 136
Estimand name: backdoor136
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,booking_changes)
### Estimand : 137
Estimand name: backdoor137
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_ch
anges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 138
Estimand name: backdoor138
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 139
Estimand name: backdoor139
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,booking_changes)
### Estimand : 140
Estimand name: backdoor140
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,country,booking_changes)
### Estimand : 141
Estimand name: backdoor141
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 142
Estimand name: backdoor142
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,country,booking_changes)
### Estimand : 143
Estimand name: backdoor143
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 144
Estimand name: backdoor144
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 145
Estimand name: backdoor145
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,country,booking_changes)
### Estimand : 146
Estimand name: backdoor146
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 147
Estimand name: backdoor147
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 148
Estimand name: backdoor148
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,market_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 149
Estimand name: backdoor149
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes)
### Estimand : 150
Estimand name: backdoor150
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,country,booking_changes)
### Estimand : 151
Estimand name: backdoor151
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 152
Estimand name: backdoor152
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes)
### Estimand : 153
Estimand name: backdoor153
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 154
Estimand name: backdoor154
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 155
Estimand name: backdoor155
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes)
### Estimand : 156
Estimand name: backdoor156
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 157
Estimand name: backdoor157
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 158
Estimand name: backdoor158
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,market_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 159
Estimand name: backdoor159
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,marke
d[different_room_assigned]
t_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,country,booking_changes)
### Estimand : 160
Estimand name: backdoor160
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,marke
d[different_room_assigned]
t_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 161
Estimand name: backdoor161
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,count
d[different_room_assigned]
ry,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 162
Estimand name: backdoor162
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,market_segme
d[different_room_assigned]
nt,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 163
Estimand name: backdoor163
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,guests,market_seg
d[different_room_assigned]
ment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 164
Estimand name: backdoor164
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,booking_changes)
### Estimand : 165
Estimand name: backdoor165
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,booking_changes)
### Estimand : 166
Estimand name: backdoor166
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,booking_changes)
### Estimand : 167
Estimand name: backdoor167
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_c
hanges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,previous_bookings_not_canceled,booking_changes)
### Estimand : 168
Estimand name: backdoor168
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,booking_changes)
### Estimand : 169
Estimand name: backdoor169
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,booking_changes)
### Estimand : 170
Estimand name: backdoor170
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking
_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 171
Estimand name: backdoor171
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,booking_changes)
### Estimand : 172
Estimand name: backdoor172
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled
,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 173
Estimand name: backdoor173
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,bookin
g_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 174
Estimand name: backdoor174
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,booking_changes)
### Estimand : 175
Estimand name: backdoor175
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,country,booking_changes)
### Estimand : 176
Estimand name: backdoor176
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 177
Estimand name: backdoor177
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,country,booking_changes)
### Estimand : 178
Estimand name: backdoor178
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes
))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 179
Estimand name: backdoor179
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 180
Estimand name: backdoor180
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,country,booking_changes)
### Estimand : 181
Estimand name: backdoor181
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_chang
es))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 182
Estimand name: backdoor182
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 183
Estimand name: backdoor183
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,market_segment,country,previous_bookings_not_canceled,booking_chan
ges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 184
Estimand name: backdoor184
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes)
### Estimand : 185
Estimand name: backdoor185
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,country,booking_changes)
### Estimand : 186
Estimand name: backdoor186
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 187
Estimand name: backdoor187
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes)
### Estimand : 188
Estimand name: backdoor188
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_chan
ges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 189
Estimand name: backdoor189
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 190
Estimand name: backdoor190
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes)
### Estimand : 191
Estimand name: backdoor191
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_ch
anges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 192
Estimand name: backdoor192
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 193
Estimand name: backdoor193
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_c
hanges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 194
Estimand name: backdoor194
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,country,booking_changes)
### Estimand : 195
Estimand name: backdoor195
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 196
Estimand name: backdoor196
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 197
Estimand name: backdoor197
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,m
d[different_room_assigned]
arket_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 198
Estimand name: backdoor198
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,guests
d[different_room_assigned]
,market_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 199
Estimand name: backdoor199
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes)
### Estimand : 200
Estimand name: backdoor200
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,booking_changes)
### Estimand : 201
Estimand name: backdoor201
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_chang
es))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 202
Estimand name: backdoor202
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes)
### Estimand : 203
Estimand name: backdoor203
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booki
ng_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 204
Estimand name: backdoor204
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_chan
ges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 205
Estimand name: backdoor205
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes)
### Estimand : 206
Estimand name: backdoor206
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,boo
king_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 207
Estimand name: backdoor207
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_ch
anges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 208
Estimand name: backdoor208
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,bo
oking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 209
Estimand name: backdoor209
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,country,booking_changes)
### Estimand : 210
Estimand name: backdoor210
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 211
Estimand name: backdoor211
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 212
Estimand name: backdoor212
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,market_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 213
Estimand name: backdoor213
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
)
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 214
Estimand name: backdoor214
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes)
### Estimand : 215
Estimand name: backdoor215
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
)
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 216
Estimand name: backdoor216
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 217
Estimand name: backdoor217
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,market_segment,country,previous_bookings_not_canceled,booking_changes
))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 218
Estimand name: backdoor218
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,guests,market_segment,country,previous_bookings_not_canceled,booking_chang
es))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 219
Estimand name: backdoor219
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,meal,guests,marke
d[different_room_assigned]
t_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 220
Estimand name: backdoor220
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,booking_changes)
### Estimand : 221
Estimand name: backdoor221
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,booking_changes)
### Estimand : 222
Estimand name: backdoor222
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,bo
oking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,previous_bookings_not_canceled,booking_changes)
### Estimand : 223
Estimand name: backdoor223
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,booking_changes)
### Estimand : 224
Estimand name: backdoor224
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_can
celed,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 225
Estimand name: backdoor225
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,b
ooking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 226
Estimand name: backdoor226
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes
))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,booking_changes)
### Estimand : 227
Estimand name: backdoor227
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_c
anceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 228
Estimand name: backdoor228
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled
,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 229
Estimand name: backdoor229
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_
canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 230
Estimand name: backdoor230
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,country,booking_changes)
### Estimand : 231
Estimand name: backdoor231
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_
changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 232
Estimand name: backdoor232
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes
))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 233
Estimand name: backdoor233
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking
_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 234
Estimand name: backdoor234
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booki
ng_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 235
Estimand name: backdoor235
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes)
### Estimand : 236
Estimand name: backdoor236
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booki
ng_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 237
Estimand name: backdoor237
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_chan
ges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 238
Estimand name: backdoor238
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,book
ing_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 239
Estimand name: backdoor239
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,bo
oking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 240
Estimand name: backdoor240
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,meal,g
d[different_room_assigned]
uests,market_segment,country,previous_bookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 241
Estimand name: backdoor241
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,market_segment,country,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes)
### Estimand : 242
Estimand name: backdoor242
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_cancele
d,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 243
Estimand name: backdoor243
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booki
ng_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 244
Estimand name: backdoor244
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_cancel
ed,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 245
Estimand name: backdoor245
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canc
eled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 246
Estimand name: backdoor246
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_cha
nges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 247
Estimand name: backdoor247
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|lead_time,days_in_waiting_l
d[different_room_assigned]
ist,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_
changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 248
Estimand name: backdoor248
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_ch
anges))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,booking_changes)
### Estimand : 249
Estimand name: backdoor249
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_
not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,previous_bookings_not_canceled,booking_changes)
### Estimand : 250
Estimand name: backdoor250
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_can
celed,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 251
Estimand name: backdoor251
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings
_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 252
Estimand name: backdoor252
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookin
gs_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 253
Estimand name: backdoor253
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,
booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 254
Estimand name: backdoor254
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,lead_time,days_i
d[different_room_assigned]
n_waiting_list,meal,guests,market_segment,country,previous_bookings_not_cancel
ed,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 255
Estimand name: backdoor255
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|is_repeated_guest,lead_time
d[different_room_assigned]
,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not
_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 256
Estimand name: backdoor256 (Default)
Estimand expression:
d
──────────────────────────(Expectation(is_canceled|total_stay,is_repeated_gues
d[different_room_assigned]
t,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_b
ookings_not_canceled,booking_changes))
Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes,U) = P(is_canceled|different_room_assigned,total_stay,is_repeated_guest,lead_time,days_in_waiting_list,meal,guests,market_segment,country,previous_bookings_not_canceled,booking_changes)
### Estimand : 257
Estimand name: iv
No such variable found!
### Estimand : 258
Estimand name: frontdoor
No such variable found!
Here is the error:
INFO:dowhy.causal_estimator:INFO: Using Propensity Score Stratification Estimator
INFO:dowhy.causal_estimator:b: is_canceled~different_room_assigned+total_stay+is_repeated_guest+lead_time+days_in_waiting_list+meal+guests+market_segment+country+previous_bookings_not_canceled+booking_changes
/Users/wangzheyu/opt/anaconda3/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.
FutureWarning)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-20-f4d9f1a5a63e> in <module>
1 estimate = model.estimate_effect(identified_estimand,
----> 2 method_name="backdoor.propensity_score_stratification",target_units="ate")
3 # ATE = Average Treatment Effect
4 # ATT = Average Treatment Effect on Treated (i.e. those who were assigned a different room)
5 # ATC = Average Treatment Effect on Control (i.e. those who were not assigned a different room)
~/opt/anaconda3/lib/python3.7/site-packages/dowhy/causal_model.py in estimate_effect(self, identified_estimand, method_name, control_value, treatment_value, test_significance, evaluate_effect_strength, confidence_intervals, target_units, effect_modifiers, method_params)
232 params=method_params
233 )
--> 234 estimate = causal_estimator.estimate_effect()
235 # Store parameters inside estimate object for refutation methods
236 estimate.add_params(
~/opt/anaconda3/lib/python3.7/site-packages/dowhy/causal_estimator.py in estimate_effect(self)
165 :returns: A CausalEstimate instance that contains point estimates of average and conditional effects. Based on the parameters provided, it optionally includes confidence intervals, standard errors,statistical significance and other statistical parameters.
166 """
--> 167 est = self._estimate_effect()
168 est.add_estimator(self)
169
~/opt/anaconda3/lib/python3.7/site-packages/dowhy/causal_estimators/propensity_score_stratification_estimator.py in _estimate_effect(self, recalculate_propensity_score)
27 if self._propensity_score_model is None or recalculate_propensity_score is True:
28 self._propensity_score_model = linear_model.LogisticRegression()
---> 29 self._propensity_score_model.fit(self._observed_common_causes, self._treatment)
30 self._data['propensity_score'] = self._propensity_score_model.predict_proba(self._observed_common_causes)[:,1]
31
~/opt/anaconda3/lib/python3.7/site-packages/sklearn/linear_model/logistic.py in fit(self, X, y, sample_weight)
1530
1531 X, y = check_X_y(X, y, accept_sparse='csr', dtype=_dtype, order="C",
-> 1532 accept_large_sparse=solver != 'liblinear')
1533 check_classification_targets(y)
1534 self.classes_ = np.unique(y)
~/opt/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py in check_X_y(X, y, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, multi_output, ensure_min_samples, ensure_min_features, y_numeric, warn_on_dtype, estimator)
717 ensure_min_features=ensure_min_features,
718 warn_on_dtype=warn_on_dtype,
--> 719 estimator=estimator)
720 if multi_output:
721 y = check_array(y, 'csr', force_all_finite=True, ensure_2d=False,
~/opt/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
540 if force_all_finite:
541 _assert_all_finite(array,
--> 542 allow_nan=force_all_finite == 'allow-nan')
543
544 if ensure_min_samples > 0:
~/opt/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py in _assert_all_finite(X, allow_nan)
54 not allow_nan and not np.isfinite(X).all()):
55 type_err = 'infinity' if allow_nan else 'NaN, infinity'
---> 56 raise ValueError(msg_err.format(type_err, X.dtype))
57 # for object dtype data, we only check for NaNs (GH-13254)
58 elif X.dtype == np.dtype('object') and not allow_nan:
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').
I am experiencing the exact same issue in this Notebook "The Causal Story Behind Hotel Booking Cancellations". And no clue what is going wrong here. In another Notebook such as https://github.com/microsoft/dowhy/blob/master/docs/source/example_notebooks/dowhy_example_effect_of_memberrewards_program.ipynb no such problem arises !
@xxwywzy @jbdatascience thanks for raising this issue. It turns out that the dataframe still contained some NA values that led to this error.
To fix this error, simply add
dataset.dropna(inplace=True)
before you load the dataset into DoWhy's CausalModel. I've also updated the notebook on Github: https://github.com/microsoft/dowhy/blob/master/docs/source/example_notebooks/DoWhy-The Causal Story Behind Hotel Booking Cancellations.ipynb
Why this error occurs in the new version of DoWhy?: We have updated how the backdoor variables are selected. In the previous version, DoWhy would only select a minimal set of variables that block all the backdoor paths.
While this is correct from an identification point of view, it can be statistically efficient to additionally condition on other eligible variables (e.g., causes of the outcome, effect modifiers, etc.). That is the default behavior in the new version, and it meant that the code was conditioning on additional columns of the dataset (one of which had the NA value).
Additionally, identify_effect() now outputs all possible backdoor adjustment variable sets that are valid. That is why you are seeing >200 sets. That is expected behavior, just that this graph has a number of effect modifiers which led to the explosion in the number of valid backdoor sets outputted.
Got it ! Thank you very much for the explanation！I think I have to learn more about the backdoor criteria :)
Thanks for the solution and the explanation of it! I am going to try it out today !
I have a new question about this notebook. The estimation result is a negative number (nearly -0.33). The notebook says that it means if the probability of cancellation was 0<𝑥<1, then changing the room causes the probability to go to 𝑥+0.33. So the effect of our treatment is 33 percentage points. However, acccording to the definition of estimate_effect, it represents the amount of change in the outcome value when you intervene and change the treatment. I.e., if we increase the value of the treatment by 1.0, then the outcome will change by the value of 'estimate'.
Therefore, in this example the treatment is 'different_room_assigned', if we change this treatment from 0 (False) to 1 (True), shouldn' t we get a postive estimate value showing that the cancel rate arises by 0.33? I am quite confused about the result and could you briefly explain to me the meaning of the estimation result? Thank you so much !
That's a great question @xxwywzy Yeah, this result is confusing. I'm paging @Sid-darthvader here, who contributed this notebook.
@Sid-darthvader Can you help us interpret the estimate based on your knowledge of the hotel dataset? It seems that different_room_assigned actually decreases the fraction of cancellations. Perhaps it is because that most customers who do get assigned a different room actually need to show up to the hotel, and they are less likely to cancel their booking then? If so, then this is a case of selection bias and the graph needs to be updated.
Any reply from sid ? I have the same question as xxwywzy. I followed the page from https://microsoft.github.io/dowhy/readme.html to Hotel booking cancellations https://towardsdatascience.com/beyond-predictive-models-the-causal-story-behind-hotel-booking-cancellations-d29e8558cbaf , it said This tells us that on an average the Probability of a hotel booking being cancelled decreases by ~36% when the Person is assigned the same room compared to the case when he is assigned a different room than what he had chosen during booking. The explanation is realy different from the hotel page in case study books. I tried to analysis between breast cancer metastases and death, got mean value -0.40, then how to explain it...
@dearfad Did not hear back from @Sid-darthvader My sense is that the the text on towardsdatascience blog is incorrect and needs to be updated.
I updated the hotel notebook in dowhy case study, so I would say you can trust the notebook more.
For your other example, a reasonable prior is that breast cancer metastases increases probability of death. If you are obtaining a negative value for its treatment effect, then that means that you have left out a confounding variable. Here is a good read on this topic where they found that the asthma patients had a lower chance of death due to pneumonia (again, negative treatment effect on death), but then they figured that asthma patients were given better care and that was the confounding factor (paper, see section 1, motivation).
|
gharchive/issue
| 2020-11-27T02:46:14 |
2025-04-01T04:35:02.263160
|
{
"authors": [
"amit-sharma",
"dearfad",
"jbdatascience",
"xxwywzy"
],
"repo": "microsoft/dowhy",
"url": "https://github.com/microsoft/dowhy/issues/198",
"license": "mit",
"license_type": "permissive",
"license_source": "bigquery"
}
|
499512733
|
Question - Is this project active?
Hi @amit-sharma ,
This is a very good piece of work. I have simple question:
Is research and development of this still active? Last update to repo was 8 months ago.
Are we supposed to use it for business? Or this is just a research library? Should we go ahead, use this library and build some user friendly product out of it?
Thank you, Sandeep. We are glad to hear that you appreciate this work. This project is under active development. The last update to the code repository was 2 months ago, and we are continuing to develop as well as accepting contributions to the project. You may use this library as you would like, per the license terms. Best regards, Emre
From: Sandeep Bhutani notifications@github.com
Sent: Friday, September 27, 2019 8:33 AM
To: microsoft/dowhy dowhy@noreply.github.com
Cc: Subscribed subscribed@noreply.github.com
Subject: [microsoft/dowhy] Question - Is this project active? (#72)
Hi,
This is a very good piece of work. I have simple question:
Is research and development of this still active? Last update to repo was 8 months ago.
Are we supposed to use it for business? Or this is just a research library? Should we go ahead, use this library and build some user friendly product out of it?
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHubhttps://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fdowhy%2Fissues%2F72%3Femail_source%3Dnotifications%26email_token%3DABNUPUFSI6BNELG7BD2WVXTQLYRRRA5CNFSM4I3H23VKYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HOF6WOQ&data=02|01|emrek%40microsoft.com|7d40c627546d45b3117408d7435fef31|72f988bf86f141af91ab2d7cd011db47|1|0|637051951621766197&sdata=yxMpNYZr7qgWjU8X5NNkAsrOnEf7gt1YXQsG4s%2FSbhY%3D&reserved=0, or mute the threadhttps://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FABNUPUE7YO54F3C2NWB3K7DQLYRRRANCNFSM4I3H23VA&data=02|01|emrek%40microsoft.com|7d40c627546d45b3117408d7435fef31|72f988bf86f141af91ab2d7cd011db47|1|0|637051951621766197&sdata=%2FfPhVadCcaw%2FFLQbtwtV2aUy0DUwmOQJTzsQgaHVah8%3D&reserved=0.
yes this is an active project. We took some time to think about major API changes for handling CATE and other usecases. We will be implementing them in the next few months.
You can have a look at the future roadmap for DoWhy here: https://github.com/microsoft/dowhy/wiki/Roadmap
|
gharchive/issue
| 2019-09-27T15:32:38 |
2025-04-01T04:35:02.278944
|
{
"authors": [
"amit-sharma",
"emrekiciman",
"sandeepbhutani304"
],
"repo": "microsoft/dowhy",
"url": "https://github.com/microsoft/dowhy/issues/72",
"license": "mit",
"license_type": "permissive",
"license_source": "bigquery"
}
|
2030739159
|
the error in generate sequences using esm1b_650M
when i use generate.py to generate protein sequences by
args.model_type=='esm1b_650M',there is an error show in line 136-137
string.append(i_string)
UnboundLocalError: local variable 'i_string' referenced before assignment
there is evalute data usiong model esm-2, but there is no generate model ESM2_650M
|
gharchive/issue
| 2023-12-07T13:13:05 |
2025-04-01T04:35:02.286356
|
{
"authors": [
"Linzy19"
],
"repo": "microsoft/evodiff",
"url": "https://github.com/microsoft/evodiff/issues/29",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2123553239
|
Unable to use Date Control in SSR
Hello - are these components compatible with SSR? I am developing a Blazor web app with no interactivity. I am not able to see any calendar on the date controller (See screenshot below). I wanted to check if there are any known limitations with SSR before we use it. Thanks for your help.
The limitation is that you can not use the components when they need interactivity to function (not specific to our library). In our case that is what it is like for a lot of them, like the Date picker. It uses a Blazor event to show the Calendar on click.
Sometimes a component may render but with limited functionality, like with the DataGrid, It shows the data but you can not sort on the columns.
|
gharchive/issue
| 2024-02-07T17:43:16 |
2025-04-01T04:35:02.292786
|
{
"authors": [
"darena-pjindal",
"vnbaaij"
],
"repo": "microsoft/fluentui-blazor",
"url": "https://github.com/microsoft/fluentui-blazor/issues/1474",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1790523015
|
Add the active crypto backend to build info (go version -m app)
Resolves https://github.com/microsoft/go/issues/963
There is a different mechanism we could use (see comment on #963) but I think this probably the way to go.
This change makes it easier to tell what backend a program ended up being built with by adding lines like cryptobackend=openssl to the build info key-value pairs:
$ GOEXPERIMENT=systemcrypto go build . && go version -m exp
exp: devel go1.21-a011bc5ece Mon Jul 3 13:03:24 2023 -0500 X:systemcrypto
build GOEXPERIMENT=systemcrypto
build GOOS=linux
build cryptobackend=openssl
... [more pairs above and below this output]
$ go build -tags=goexperiment.systemcrypto . && go version -m exp
exp: devel go1.21-a011bc5ece Mon Jul 3 13:03:24 2023 -0500
build -tags=goexperiment.systemcrypto
build cryptobackend=openssl
...
$ GOOS=windows GOEXPERIMENT=systemcrypto go build . && go version -m exp.exe
exp.exe: devel go1.21-a011bc5ece Mon Jul 3 13:03:24 2023 -0500 X:systemcrypto
build GOEXPERIMENT=systemcrypto
build GOOS=windows
build cryptobackend=cng
...
Note that X:systemcrypto shows up when using GOEXPERIMENT, but -tags doesn't show up there. The -tags line only shows up when the -tags flag is used for go build. Technically, someone (or a program) can look for these signs and figure out what the program is using by understanding the build logic, but this could be fairly fragile. Instead, we can include the info directly.
buildinfo was added in 1.18.
The built-in pairs are defined at https://pkg.go.dev/runtime/debug#BuildSetting, and I haven't seen any reason we shouldn't add our own pairs. The most likely break I can think of is that an external tool will fail if it sees an unrecognized pair, but it seems more likely to me that it would skip them.
@dagood We intending to keep this PR? I noted it was a year old :-)
I would still argue that we should do this. I think now, it's even more important given https://github.com/microsoft/go/issues/1352 (@qmuntal). We should probably also add some straightforward "used Microsoft Go" data.
|
gharchive/pull-request
| 2023-07-05T23:43:07 |
2025-04-01T04:35:02.656690
|
{
"authors": [
"dagood",
"karianna"
],
"repo": "microsoft/go",
"url": "https://github.com/microsoft/go/pull/972",
"license": "BSD-3-Clause",
"license_type": "permissive",
"license_source": "github-api"
}
|
1624292440
|
Project: Call scheduler permits you to plan a call with a HR\recruiter
Project name
Call scheduler
Description
This project can be used as a service to let people schedule a call with a HR\recruiter of someone's company.
Read README.md inside the project repository for more details
Repo URL
https://github.com/alexlogvin/CallScheduler
Team members
alexlogvin
Very nice @alexlogvin! Would you be willing to record a short video to demonstrate the app? It's not required for the hackathon but it would help us showcase your work internally at Microsoft and publicly in the community 😊
✅ Added a video. See in repository's readme
|
gharchive/issue
| 2023-03-14T20:59:45 |
2025-04-01T04:35:02.659296
|
{
"authors": [
"alexlogvin",
"waldekmastykarz"
],
"repo": "microsoft/hack-together",
"url": "https://github.com/microsoft/hack-together/issues/145",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2323136361
|
Igvm_c: fix pkgconfig
Some small fixes for the pkgconfig file installed by igvm_c:
fix DESTDIR. Was set to a literal "" instead of an empty string by default
Update the Version field in the pkgconfig file, set it to the create version automatically
Rework pkgconfig file generation.
Alternate way for getting the crate version:
$ cargo metadata --format-version=1 | jq -c '.packages[] | select (.name == "igvm").version'
"0.3.0"
But that requires jq to be installed.
LGTM. Does it make more sense to use grep vs jq because most folks will have grep but not jq? The jq is nicer to look at, but i'm not sure it matters too much if they accomplish the same thing?
The approach with grep is more fragile since it does not parse the toml file.
But jq is not very commonly installed, and a cli toml parser tool is even
less common.
I had hoped that cargo would have a way to report the package version directly, but no.
I'd say let's use grep for now.
Okay sounds good. We can take a future change if we want to change strategy.
|
gharchive/pull-request
| 2024-05-29T11:56:30 |
2025-04-01T04:35:02.666039
|
{
"authors": [
"chris-oo",
"osteffenrh"
],
"repo": "microsoft/igvm",
"url": "https://github.com/microsoft/igvm/pull/56",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1443619396
|
Installing on Linux VM host (with Windows guest)
Since our workstations effectively comprise of Linux boxes, with Windows running on VMWare for WPF/Winform projects, the WSL on those windows guests refuses to work (and it also seem pointless).
Is it possible to install Infersharp on the Linux host and reconfigure VS Extension on guest Windows OS to utilize infersharp on host? At least until you guys finish #189
Is using VS extension a must? If you just want to run Infer# against your Windows built binaries, I believe you can already do so.
Download and extract the latest binary release infersharp-linux64-v1.4.tar.gz onto your Linux host. You may need to symlink like this.
As long as your host has visibility into the guest, you can manually trigger the analysis with a similar fashion of how we run using WSL.
|
gharchive/issue
| 2022-11-10T10:14:50 |
2025-04-01T04:35:02.668697
|
{
"authors": [
"the-black-wolf",
"xinshiMSFT"
],
"repo": "microsoft/infersharp",
"url": "https://github.com/microsoft/infersharp/issues/190",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2085658106
|
get document list
Context / Scenario
When I was using Kernel Memory, I found that there was no interface to retrieve the document collection based on the index, which made it impossible for me to obtain the corresponding documents when operating the system.
The problem
Add a method to obtain the document collection
Proposed solution
If I store the document collection separately, it can solve the problem, but it seems that this is not very good. I hope to add a method to obtain the document collection
Importance
would be great to have
I am not sure if this will help, but I have the following:
var KernelMemory = new KernelMemoryBuilder()
.WithOpenAI(new OpenAIConfig() { APIKey = "API_KEY", EmbeddingModel = "Model" })
.WithSimpleVectorDb(new SimpleVectorDbConfig { Directory = "SimpleDbVectorDirectory", StorageType = FileSystemTypes.Disk })
.Build<MemoryServerless>();
var memories = await KernelMemory.ListIndexesAsync();
var memoryDbs = KernelMemory.Orchestrator.GetMemoryDbs();
foreach (var memoryIndex in memories)
{
foreach (var memoryDb in memoryDbs)
{
var list = memoryDb.GetListAsync(memoryIndex.Name, null, 100, true);
await foreach (var item in list)
{
System.Console.WriteLine($"Index: {memoryIndex.Name} - {item.Id}");
}
}
}
It would be nice to have a list of documents added. I generally use tags to have that info.
Thank you very much. I have obtained detailed information about document slicing through this method. It would be even better if it could be encapsulated into a function!
var memories = await _memory.ListIndexesAsync();
var memoryDbs = _memory.Orchestrator.GetMemoryDbs();
foreach (var memoryIndex in memories)
{
foreach (var memoryDb in memoryDbs)
{
var item = await memoryDb.GetListAsync(memoryIndex.Name, new List<MemoryFilter>() { new MemoryFilter().ByDocument(fileid) }, 100, true).FirstOrDefaultAsync();
}
}
At present, this way, the doc can be obtained based on the docid, and if the limit parameter is<=0, it is int Max
if(limit<=0){limit = int.MaxValue;}
This seems to be unable to achieve true pagination, and there may be performance issues if the data volume is too large
|
gharchive/issue
| 2024-01-17T08:22:09 |
2025-04-01T04:35:02.672383
|
{
"authors": [
"xuzeyu91"
],
"repo": "microsoft/kernel-memory",
"url": "https://github.com/microsoft/kernel-memory/issues/260",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2251481679
|
[Feature Request]
Context / Scenario
That's a feature that already exists in langchain and will be beneficial to save costs. The idea will be to ported from phyton to c#
https://github.com/zilliztech/GPTCache
https://python.langchain.com/docs/integrations/llms/llm_caching/
https://www.mongodb.com/developer/products/atlas/advanced-rag-langchain-mongodb/
The problem
A lot of money and performance is waste answering the same questions again and again
Proposed solution
Be able to save all the queries together with llm responses in some database and try to fetch it first from there, if not then call the LLM, and have some parameters to invalidate or update cache from time to time.
Importance
would be great to have
+1 Would love to see this. Tons of value savings with this.
|
gharchive/issue
| 2024-04-18T20:15:42 |
2025-04-01T04:35:02.675508
|
{
"authors": [
"OrionSeven",
"Rtoribiog"
],
"repo": "microsoft/kernel-memory",
"url": "https://github.com/microsoft/kernel-memory/issues/414",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2253487240
|
How to deserialize UntypedObject?
Recently, I've upgraded kiota to latest version, and I noticed breaking changes. Previously, I'd deserialize some problematic properties like this:
private static Prices? Deserialize(this IAdditionalDataHolder prices)
{
if (!prices.AdditionalData.TryGetValue("somePrice", out var priceObject))
{
return null;
}
if (priceObject is not JsonElement)
{
return null;
}
return ((JsonElement)priceObject).Deserialize<Prices>(JsonSerializerOptions)!;
}
Now, it seems that priceObject is of type UntypedObject. Is there any easy way to deserialize it into a proper type, like I used to do that?
Hi @marcinjahn
Thanks for using kiota and for reaching out.
First off, here is a tip for you, you could have written that code this way to improve readability
private static Prices? Deserialize(this IAdditionalDataHolder prices)
{
if (!prices.AdditionalData.TryGetValue("somePrice", out var priceObject) ||
priceObject is not JsonElement priceObjectElement)
{
return null;
}
return priceObjectElement.Deserialize<Prices>(JsonSerializerOptions)!;
}
Then, you are correct, we slightly changed the behaviour. You can learn more about why here but effectively the main motivations were:
support other formats than JSON
decoupling from the JSON library in use
symmetry for serialization/deserialization of unknown properties
better API surface
We don't have implementations to provide auto mapping based of reflection (what your code is doing thanks to STJ), your options are:
document the property in the OAS description so kiota can project adequate types and handle serialization for you
do a roundtrip serialization to either JsonElement or a manually implemented parsable
Example of the roundtrip serialization
private static Prices? Deserialize(this IAdditionalDataHolder prices)
{
if (!prices.AdditionalData.TryGetValue("somePrice", out var priceObject) ||
priceObject is not UntypedObject priceObjectUntyped)
{
return null;
}
var serializedValue = KiotaJsonSerializer.SerializeAsString(priceObjectUntyped);
var priceObjectElement = JsonDocument.Parse(serializedValue);
return priceObjectElement.Deserialize<Prices>(JsonSerializerOptions)!;
}
let us know if you have further questions/remarks
Thanks, that explains it well
|
gharchive/issue
| 2024-04-19T07:48:14 |
2025-04-01T04:35:02.680271
|
{
"authors": [
"baywet",
"marcinjahn"
],
"repo": "microsoft/kiota-serialization-json-dotnet",
"url": "https://github.com/microsoft/kiota-serialization-json-dotnet/issues/212",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2283615869
|
Support for the Snowflake Cloud Data Platform
Support for the Snowflake Cloud Data Platform
Introduction
Hello everyone! In our project, called CLADE, we are analysing and comparing the features of current data lakehouse platforms, specifically using Databricks and Snowflake. Databricks uses Delta as its default table format and Snowflake has recently added support for Iceberg Tables.
While researching these data formats we discovered LST-Bench, and wanted to use it to measure the efficiency of Delta in Databricks and Iceberg in Snowflake. For the latter platform we need to add specific SQL queries and yaml files in the run folder. We are pleased to offer our support for this project by providing support for Snowflake.
New run configuration
We suggest a new run folder for Snowflake with its own config folder containing the sample yaml files and a scripts folder containing the necessary sql statements. For the connection to Snowflake it is as simple as adding the corresponding JDBC Driver to pom.xml.
Scripts can have two build options. One to use the Snowflake default tables and the other one for the new Iceberg tables. The other tasks will be adapted to Snowflake syntax, for example with the use of Stages for data loading.
Limitations
It is not possible to run the Optimise task on Snowflake Managed Iceberg tables. The REFRESH function is only available for externally managed tables, for example in AWS Glue (see documentation). For Snowflake Managed Iceberg Tables, the metadata refresh is coordinated internally by Snowflake. If you try to use Refresh on it, the next error is displayed:
ALTER command failed. The provided table must be an Iceberg table with an external catalog integration to perform the command ICEBERG_TABLE_REFRESH. The type of table ICEBERG_TABLE is MANAGED
Therefore, we can only run the longevity, concurrency and time travel workloads. In the case of concurrency, the Optimise functions can be replaced by Data Mainteance functions.
Finally, just remember that we are happy to develop this support for Snowflake following the previous approach and your feedback, which is welcome.
@agr17 , this looks like a great proposal, please let us know if you hit any blockers. Looking forward to your contribution!
|
gharchive/issue
| 2024-05-07T15:09:46 |
2025-04-01T04:35:02.685787
|
{
"authors": [
"agr17",
"jcamachor"
],
"repo": "microsoft/lst-bench",
"url": "https://github.com/microsoft/lst-bench/issues/265",
"license": "Apache-2.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
655722097
|
Area calculation of a shape
I need to calculate the area of a shape that I am creating, it can be anything. Is there an existing function for this, or do I have to do it by myself?
Hello, this does not yet exist. There is already an issue #407 , so I'll close this issue and we can continue the discussion there.
|
gharchive/issue
| 2020-07-13T10:02:45 |
2025-04-01T04:35:02.687326
|
{
"authors": [
"danmarshall",
"roxanagirdu"
],
"repo": "microsoft/maker.js",
"url": "https://github.com/microsoft/maker.js/issues/467",
"license": "Apache-2.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
262275615
|
Tutorial 3: Can't find module 'past'
Using the latest 0.31 64-bit build on Windows 10. Tutorial 3 throws an error (see below) because it can't find past. I am using Anaconda python distribution. Both conda and conda-forge channels don't have this module.
(malmo-py3.6) C:\Users\dedey\Documents\Malmo-0.31.0-Windows-64bit_Python3.6\Malmo-0.31.0-Windows-64bit_Python3.6\Python_Examples>python tutorial_3.py
Traceback (most recent call last):
File "tutorial_3.py", line 25, in
from past.utils import old_div
ModuleNotFoundError: No module named 'past'
From the release notes:
All our sample/test python code has been "futurised" to work with both Python 2 and Python 3. This shouldn't be a breaking change, but there may now be an extra dependency to install - try pip install future if the samples don't seem to be working.
past is part of the future module (sounds very zen) - you should get it by installing future.
Let us know if this solves your problem, and I'll update the documentation accordingly.
I'm getting this error even after I have installed future.
$ pip install future
Requirement already satisfied: future in c:\program files (x86)\python36-32\lib\site-packages (0.16.0)
$ py -3 mob_fun.py
Traceback (most recent call last):
File "mob_fun.py", line 25, in
from future import standard_library
ModuleNotFoundError: No module named 'future'
pip3 install future?
It do not solve the problem after installing future
|
gharchive/issue
| 2017-10-03T01:10:59 |
2025-04-01T04:35:02.692194
|
{
"authors": [
"AndKram",
"DaveyBiggers",
"debadeepta",
"marcusnguyen",
"nmandhana"
],
"repo": "microsoft/malmo",
"url": "https://github.com/microsoft/malmo/issues/600",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
679296514
|
RadioButtons raises duplicate SelectionChanged events
Describe the bug
The Microsoft.UI.Xaml.Controls.RadioButtons.SelectionChanged event is raised multiple times.
Steps to reproduce the bug
Demonstration code is available in this gist.
Create a muxc:RadioButtons control containing three radio buttons
Switch the selection from one radio button to a different radio button. Notice that the SelectionChanged event is raised twice.
Expected behavior
Behavior should match ListView.SelectionChanged. A single SelectionChanged event should be raised with one RadioButton in the AddedItems list and one RadioButton in the RemovedItems list.
Screenshots
Version Info
NuGet package version:
[Microsoft.UI.Xaml.2.4.3]
[Microsoft.UI.Xaml.2.5.0-prerelease.200708003]
Windows 10 version
Saw the problem?
Insider Build (20192)
Yes
May 2020 Update (19041)
November 2019 Update (18363)
May 2019 Update (18362)
October 2018 Update (17763)
April 2018 Update (17134)
Fall Creators Update (16299)
Creators Update (15063)
Device form factor
Saw the problem?
Desktop
Yes
Xbox
Surface Hub
IoT
I would like to take a look at this.
So, there's not just the issue of the selection changed event being raised two times but also an issue with the SelectionChangedEventArgs instance passed to the event handler. For example, when setting the initial selection (via code or click interaction), not only does the SelectionChangedEventArgs instance say that an item has been selected, but also that an item has been deselected (SelectionChangedEventArgs.RemovedItems.Count = 1)! However, there is no such item being deselected (as none was selected before) and SelectionChangedEventArgs.RemovedItems[0] returns null. Thus this could lead to apps to crash if developers trust SelectionChangedEventArgs.RemovedItems to only contain non-null elements (and the expectation is just that).
In the case of selecting an item when another item has already been selected: This not only raises the SelectionChanged event two times, as reported here, but we also see the above described issue again:
1st SelectionChanged event:
SelectionChangedEventArgs.AddedItems.Count = 1 even though the SelectionChangedEventArgs.AddedItems[0] returns null. The SelectionChangedEventArgs.RemovedItems are correct here (Count is 1 and RemovedItems[0] is the deselected item).
2nd SelectionChanged event:
SelectionChangedEventArgs.RemovedItems.Count = 1 even though the SelectionChangedEventArgs.RemovedItems[0] returns null. The SelectionChangedEventArgs.AddedItems are correct here (Count is 1 and AddedItems[0] is the newly selected item).
Thus, not only do we have to fix the duplicated event raise here but we also have to make sure that SelectionChangedEventArgs.*Items.Count is 0 when there is no valid item in the list (basically matching the behavior of ListView's SelectionChanged event).
Observation 2: The duplicated SelectionChanged event is only raised when the user changes the slection by clicking. Selecting a ne item either programmatically or via keyboard focus, only raises one SelectionChanged with both AddedItems and RemovedItems of the SelectionChangedEventArgs instance being populated correctly.
(Reason being that we listen to the RadioButton.Uchecked and RadioButton.Checked event. Changing that to RadioButton.Clicked should provide a solution here.)
Is there any way around this?
|
gharchive/issue
| 2020-08-14T17:24:23 |
2025-04-01T04:35:02.704968
|
{
"authors": [
"AndreiHarasemiuc",
"Felix-Dev",
"mcooley"
],
"repo": "microsoft/microsoft-ui-xaml",
"url": "https://github.com/microsoft/microsoft-ui-xaml/issues/3128",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
734397479
|
Fail pipeline on failed tests
I am running the command successfully on GitLab, but as far as I can see a GitLab pipeline only failes if one of the command raises an error.
Would it be possible to raise an error if at least one test failed?
Maybe controllable via switch?
Run-TestsInBcContainer has a switch called -returnTrueIfAllPassed
Add that - and if it returns false - throw.
Will that work?
Sorry, forgot to write that I use the "Run-AlPipeline" command. Does something like this exists with this command too?
Nope - I should add a parameter like -azureDevOps called -gitlab to set these things.
and -githubActions
Is it only Run-Tests you are running into at this time?
Cant tell for sure. The rest of the pipeline works for now.
Shipped in BcContainerHelper 1.0.13-preview256
|
gharchive/issue
| 2020-11-02T10:45:37 |
2025-04-01T04:35:02.714711
|
{
"authors": [
"StefanMaron",
"freddydk"
],
"repo": "microsoft/navcontainerhelper",
"url": "https://github.com/microsoft/navcontainerhelper/issues/1427",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
924794583
|
possibility to set UsePermissionSetsFromExtensions on creation of container
Dear Freddy,
We are currently still using they old way of permissions, the problem now is that to set the UsePermissionSetsFromExtensions a restart of the nst is needed which will take some time.
Could you add it as a parameter to the new-bccontainer ?
You can use -additionalParameters @("-e customNavSettings=UsePermissionSetsFromExtensions=false")
awesome!
|
gharchive/issue
| 2021-06-18T11:02:44 |
2025-04-01T04:35:02.716385
|
{
"authors": [
"freddydk",
"hvandenborn"
],
"repo": "microsoft/navcontainerhelper",
"url": "https://github.com/microsoft/navcontainerhelper/issues/1972",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
532534444
|
Suggestion: Allow gpuNum: 0 to be run on kubernetes
What would you like to be added:
gpuNum: 0 to be possible on k8s/kubeflow
Why is this needed:
For CPU training or for other reasons,
sometimes no gpu containers is needed.
Without this feature, how does current nni work：
Always requires at least one nvidia.com/gpu resource.
Components that may involve changes:
Brief description of your proposal if any:
Hello, I am currently using nni to tune some TF models.
While using nni, I sometimes need zero gpu containers(CPU training, logging, etc).
So I looked the sources, and found this comment in kubernetesTrainingService.ts file.
// Nvidia devcie plugin for K8S has a known issue that requesting zero GPUs allocates all GPUs
// Refer https://github.com/NVIDIA/k8s-device-plugin/issues/61
// So we have to explicitly set CUDA_VISIBLE_DEVICES to empty if user sets gpuNum to 0 in NNI config file
The nvidia issue hasn't been fixed yet, but there can be a workaround this issue.
That is, if container requests "nvidia.com/gpu: 0" and env variable CUDA_VISIBLE_DEVICES is set to empty string, it can essentially function as zero gpu using container.
Below is pseudo-diff of how the source can be changed to function.
// nni_manager/training_service/kubernetes/kubernetesTrainingService.ts
// From
public generatePodResource(memory: number, cpuNum: number, gpuNum: number): any {
return {
memory: `${memory}Mi`,
cpu: `${cpuNum}`,
'nvidia.com/gpu': `${gpuNum}`
};
}
// To
public generatePodResource(memory: number, cpuNum: number, gpuNum: number): any {
const resources = {
memory: `${memory}Mi`,
cpu: `${cpuNum}`,
'nvidia.com/gpu': `${gpuNum}`
};
if (gpuNum !== 0) {
resources['nvidia.com/gpu'] = gpuNum;
}
return resources;
}
// From
if (gpuNum === 0) {
nvidiaScript = `export CUDA_VISIBLE_DEVICES='0'`;
}
// To
if (gpuNum === 0) {
nvidiaScript = 'export CUDA_VISIBLE_DEVICES=';
}```
Hi @skyser2003 ,
Thanks for raising the issue. In current design, NNI support setting gpuNum=0 by using export CUDA_VISIBLE_DEVICES='0' command to shield gpu in kubeflow, at the same time, NNI will use
return {
memory: `${memory}Mi`,
cpu: `${cpuNum}`,
'nvidia.com/gpu': `${gpuNum}`
};
to set 'nvidia.com/gpu': ${gpuNum}``, which ${gpuNum} could be 0.
I didn't get the point by changing code to
public generatePodResource(memory: number, cpuNum: number, gpuNum: number): any {
const resources = {
memory: `${memory}Mi`,
cpu: `${cpuNum}`,
'nvidia.com/gpu': `${gpuNum}`
};
if (gpuNum !== 0) {
resources['nvidia.com/gpu'] = gpuNum;
}
return resources;
}
Do you mean that if you set gpuNum=0 in NNI config, it does not work?
Yes, because of
nvidiaScript = `export CUDA_VISIBLE_DEVICES='0'`;
}```
this part, even if I set gpuNum:0,
it always uses gpu with index 0 inside the container.
This happens on v0.7.
It seems that CUDA_VISIBLE_DEVICES='0' does not work on your k8s, this might be a bug of NNI. Have you tried changing the source code to export CUDA_VISIBLE_DEVICES='' or export CUDA_VISIBLE_DEVICES='-1', and use source install.sh to test?
Tested CUDA_VISIBLE_DEVICES='', it works fine.
As long as I know, CUDA_VISIBLE_DEVICES is used to set index of gpus you want to use, not the number of gpus.
So if the above code is intended to use 0 gpus inside the container, I think it is wrongly used.
https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars
https://stackoverflow.com/questions/39649102/how-do-i-select-which-gpu-to-run-a-job-on
It seems so. I'll fix it ASAP, or if you are interested in NNI, it will be great if you can give a pr to fix this bug.
Thanks for giving the feedback.
|
gharchive/issue
| 2019-12-04T08:49:44 |
2025-04-01T04:35:02.725002
|
{
"authors": [
"SparkSnail",
"skyser2003"
],
"repo": "microsoft/nni",
"url": "https://github.com/microsoft/nni/issues/1818",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1354749524
|
Perfview option to display/export actual time/ticks instead of/in addition to the time offset
This is important when comparing PerfView logs with network traces or other logs and trying to line them up.
This seems reasonable. Where specifically would you want to see this? Would you be looking to have this information in the events view?
I also would like to have this option to facilitate analysis of long trace logs. Specifically, I would like the Events view to display a column with the absolute (UTC or local) time instead of or in addition to the existing time from the start of trace capture. The time range controls would also accept absolute time.
This seems reasonable to have. Would you be interested in submitting a PR for this?
I would, but I’m not familiar with the codebase and would need detailed guidance on where to make the changes, test requirements, etc.
From: Brian Robbins @.>
Sent: Wednesday, November 16, 2022 3:29:28 PM
To: microsoft/perfview @.>
Cc: Oleg Sych @.>; Comment @.>
Subject: Re: [microsoft/perfview] Perfview option to display/export actual time/ticks instead of/in addition to the time offset (Issue #1700)
This seems reasonable to have. Would you be interested in submitting a PR for this?
—
Reply to this email directly, view it on GitHubhttps://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fperfview%2Fissues%2F1700%23issuecomment-1317816476&data=05|01|olegsych%40microsoft.com|d602dc3b916b4139c2f508dac82a6856|72f988bf86f141af91ab2d7cd011db47|1|0|638042381721941367|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D|3000|||&sdata=G9%2FIGSW2VTXhotxrA5%2BdZuP18xQPGDMuc5%2BTovMJWLo%3D&reserved=0, or unsubscribehttps://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAB7X2E7E5ZSGSQIQBDQQ7LTWIVU5RANCNFSM5764BCDQ&data=05|01|olegsych%40microsoft.com|d602dc3b916b4139c2f508dac82a6856|72f988bf86f141af91ab2d7cd011db47|1|0|638042381721941367|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D|3000|||&sdata=ltySTCc0Xha8hBcvTL9iVE8EJsSuYNcgKF36%2FsKOZoU%3D&reserved=0.
You are receiving this because you commented.Message ID: @.***>
Hey, this feature is very useful to me too. Seems there're not update since 2022, I will try make a PR for it. Just FYI. 😀
|
gharchive/issue
| 2022-08-29T19:05:23 |
2025-04-01T04:35:02.772329
|
{
"authors": [
"Malcolm-Stewart",
"brianrob",
"iaalm",
"olegsych"
],
"repo": "microsoft/perfview",
"url": "https://github.com/microsoft/perfview/issues/1700",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1381202774
|
Reconstruct STAC Items from geoparquet rows
Apologies if this isn't the right repo to ask this question, but I was looking to reconstruct PySTAC Items from geoparquet rows (https://planetarycomputer.microsoft.com/docs/quickstarts/stac-geoparquet/#Bulk-STAC-item-queries-with-GeoParquet). Is there a convenience method of the flavor item = planetary_computer.item_from_geoparquet_row(dataframe, index) or something similar that I'm not finding? If not, would this be the place to open a PR to add such functionality, or is there a better repo?
I realize iterating over rows of a geopandas dataframe is an antipattern, but I think it's required for my use case (bulk load STAC items, modify them, then write them back out). If there's a better way, any guidance would be appreciated.
Can you try stac_geoparquet.to_item_collection()? https://github.com/TomAugspurger/stac-geoparquet/blob/d2c9ad43e055dda17c1fd30be1d26f082aaaca21/stac_geoparquet/stac_geoparquet.py#L109-L121. That does iterate over rows, but I think it's unavoidable.
Oh, and it's probably buggy, so LMK if you run into issues.
Closing this in favor of issues in stac-geoparquet, primarily https://github.com/TomAugspurger/stac-geoparquet/issues/3.
|
gharchive/issue
| 2022-09-21T16:30:17 |
2025-04-01T04:35:02.775979
|
{
"authors": [
"TomAugspurger",
"gadomski"
],
"repo": "microsoft/planetary-computer-sdk-for-python",
"url": "https://github.com/microsoft/planetary-computer-sdk-for-python/issues/46",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1743769810
|
[BUG] Locator.Filter has extra properties
I think we have a bug in the code generator. The LocatorFilterOptions has 3 properties: HasText, HasTextString and HasTextRegex to represent hasText?: string | RegExp,. I think we don't need HasText. And if this is expected it's confusing for some users.
Hi Dario!
This is actually expected and was introduces in https://github.com/microsoft/playwright-dotnet/pull/2387.
Maybe we could say that in the doc?
Hard to find a place for it!
So what is the difference between them?
There is no difference, they are the same and there for connivence.
|
gharchive/issue
| 2023-06-06T12:28:59 |
2025-04-01T04:35:02.779583
|
{
"authors": [
"EgoPingvina",
"kblok",
"mxschmitt"
],
"repo": "microsoft/playwright-dotnet",
"url": "https://github.com/microsoft/playwright-dotnet/issues/2606",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1932776822
|
fix: use minimum 6.0.0 System.Text.Json version
This does it like the Azure CLI folks: https://github.com/Azure/azure-sdk-for-net/blob/ff337a1ce38c57f770d28a36198d90ad7be27f80/sdk/digitaltwins/Azure.DigitalTwins.Core/samples/DigitalTwinsClientSample/DigitalTwinsClientSample.csproj#L21
But this most likely will regress https://github.com/microsoft/playwright-dotnet/issues/2408 since it reverts https://github.com/microsoft/playwright-dotnet/pull/2410, requires testing.
Fixes https://github.com/microsoft/playwright-dotnet/issues/2696
@campersau seems like a bug in .NET Azure Functions to me in the way how they bundle their assemblies. (they don't publish a custom System.Text.Json package).
The problem is that the AzureFunctionsTools which hosts the local functions does include the System.Text.Json.dll with version 6.0.xx as you can see in %LOCALAPPDATA%\AzureFunctionsTools\Releases\4.55.0\cli_x64. I don't know if the same is true when the function gets actually deployed.
In .NET Framework you can work around that by using <bindingRedirect> and in .NET you can workaround that with this code which tries to load assemblies without doing a version check:
AppDomain.CurrentDomain.AssemblyResolve += CurrentDomain_AssemblyResolve;
private Assembly CurrentDomain_AssemblyResolve(object sender, ResolveEventArgs args)
{
var name = new AssemblyName(args.Name);
var dll = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, name.Name + ".dll");
if (File.Exists(dll))
{
return Assembly.LoadFrom(dll);
}
return null;
}
E.g. .NET will try to load System.Text.Json = 7.0.0 and fails so the custom CurrentDomain_AssemblyResolve is called and will resolve System.Text.Json = 6.0.0 from the AzureFunctionsTools directory and .NET will just use the returned assembly without additional checks and everything works*.
In my opinion libraries should always try to use the lowest dependency version possible since the users can then "override" it by specifying it explicitly in their project.
E.g. if Playwright requires System.Text.Json >= 6.0.0 and I explicitly include a PackageReference to System.Text.Json = 7.0.0 then Playwright will also use 7.0.0 without any hacks*.
* This of course only works at runtime if there aren't any breaking changes which Playwirght uses.
I am not sure what https://github.com/microsoft/playwright-dotnet/issues/2408 was about exactly as there isn't enough information for me to reproduce it, maybe there are other solutions for this too.
Thanks for your great investigation! 💯
I don't know if the same is true when the function gets actually deployed.
From my experiments System.Text.Json was not included in the zip which got uploaded to the Azure Function.
I am not sure what https://github.com/microsoft/playwright-dotnet/issues/2408 was about exactly as there isn't enough information for me to reproduce it, maybe there are other solutions for this too.
Yeah for me it also wasn't clear anymore, I made a quick .NET 7 test where it looked good.
I guess I'll merge this for now (which is like a revert of https://github.com/microsoft/playwright-dotnet/pull/2410 so it should be fine). Thanks again!
|
gharchive/pull-request
| 2023-10-09T10:38:59 |
2025-04-01T04:35:02.788261
|
{
"authors": [
"campersau",
"mxschmitt"
],
"repo": "microsoft/playwright-dotnet",
"url": "https://github.com/microsoft/playwright-dotnet/pull/2720",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1272761428
|
[Backlog] Shimmer
How to promote this component
Please give a thumbs up reaction to this post to promote this backlog item. Please share your usage scenario in the comments.
Component description
Shimmer is a temporary animation placeholder for when a service call takes time to return data and we don't want to block rendering the rest of the UI.
Fluent UI documentation
This is now available in the August release (Documentation)
|
gharchive/issue
| 2022-06-15T21:20:25 |
2025-04-01T04:35:02.832317
|
{
"authors": [
"denisem-msft"
],
"repo": "microsoft/powercat-creator-kit",
"url": "https://github.com/microsoft/powercat-creator-kit/issues/43",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
689990276
|
“Furry my favourite jump and run” can't run as expected in Meowbit
Describe the bug
“Furry my favourite jump and run” can't run as expected in Meowbit
Steps to reproduce the behavior
1.Navigate to https://arcade.makecode.com/beta#
2.Click Community Games----> Furry my favourite jump and run------>Open in Editor
3.Download the code to Meowbit
Expect behavior
It can run normally
Actual behavior
“Furry my favourite jump and run” can't run as expected in Meowbit. The player jumps in the air at the beginning of game and he's unable to fall to the ground.
Additional context
1.OS: Windows(rs6)
2.arcade version: 1.3.2
3.Microsoft MakeCode version: 6.3.2
Fixed!
@riknoll Another issue: when the player touched the diamond, it should go to the next level.
But it didn't go to the next level and there shows a sad face and "980" on the Meowbit hardware.
|
gharchive/issue
| 2020-09-01T09:38:20 |
2025-04-01T04:35:02.837263
|
{
"authors": [
"Sheila111",
"riknoll"
],
"repo": "microsoft/pxt-arcade",
"url": "https://github.com/microsoft/pxt-arcade/issues/2395",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
787086155
|
[cloud sync] show conflict resolution dialog
When a user starts to open a cloud synced project, if the project has conflicts, show a conflict resolution dialog. It will have these options:
Keep local
Take remote
Make a copy
Ensure it does something reasonable in offline state.
Duplicate of: https://github.com/microsoft/pxt-arcade/issues/2990
|
gharchive/issue
| 2021-01-15T18:04:36 |
2025-04-01T04:35:02.839247
|
{
"authors": [
"darzu",
"eanders-MS"
],
"repo": "microsoft/pxt-arcade",
"url": "https://github.com/microsoft/pxt-arcade/issues/2897",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
936817685
|
"Tony Albatross: Pro Dolphin" can't open
Describe the bug
"Tony Albatross: Pro Dolphin" can't open
Steps to reproduce the behavior
1.Navigate to https://arcade.makecode.com/beta#
2.Advanced Livestream----->Tony Albatross: Pro Dolphin----->Open in Editor
Actual behavior
"Tony Albatross: Pro Dolphin" can't open
Additional context
1.OS: Windows(rs6)
2.arcade version: 1.5.26
3.Microsoft MakeCode version: 6.13.54
After signing in my account for a while , all tutorials appear this issue. And If I sign out and sign in again, the issue disappears.
Thank @Sheila111! When you see cloud sync issues like this, please open the browser's dev console (F12) and include any errors you see there.
@eanders-MS arcade.makecode.com-1625642897353.log
@eanders-MS This issue appears a little too often recently
It's a long shot, but the error message Error: Bad HTTP status code: 0 at /api/user/project leads me to think this might be CORS related. I will check to ensure we're always sending back the Access-Control-Allow-Origin header.
@Sheila111, just want to confirm: Are you still seeing this on latest beta? We made a bunch of improvements to the code and I'm not seeing this error locally anymore. I used to see it frequently.
@eanders-MS It seems to be fixed on latest beta version (v1.5.32).
Ok great. Closing. Will revive if the issue comes back.
|
gharchive/issue
| 2021-07-05T08:11:40 |
2025-04-01T04:35:02.845492
|
{
"authors": [
"Sheila111",
"eanders-MS"
],
"repo": "microsoft/pxt-arcade",
"url": "https://github.com/microsoft/pxt-arcade/issues/3628",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
747854734
|
Chase the Basketball tutorial for Warner Bros. Partnership
A modification of the Chase the Pizza tutorial and the addition of a new custom tutorial intro gif.
Looks great Sonia! Just missing the custom sprites.
|
gharchive/pull-request
| 2020-11-20T23:14:17 |
2025-04-01T04:35:02.846426
|
{
"authors": [
"Jaqster",
"soniakandah"
],
"repo": "microsoft/pxt-arcade",
"url": "https://github.com/microsoft/pxt-arcade/pull/2586",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
297558659
|
Give users the ability to go back to a tutorial that they started
Feature request from Twitter: https://twitter.com/mrivas_STEM/status/964206374639906817
Feature request is to give users the ability to continue a tutorial that they had previously started. Currently we allow them to view the code that they had previously created in a tutorial, but there's no way to go back and continue where they left of.
This would be a good classroom scenario where a student that hasn't completely finished there work can continue where they left of, next lesson.
Fixed
|
gharchive/issue
| 2018-02-15T18:58:01 |
2025-04-01T04:35:02.855361
|
{
"authors": [
"abchatra",
"samelhusseini"
],
"repo": "microsoft/pxt",
"url": "https://github.com/microsoft/pxt/issues/3883",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1228836879
|
Jupyter notebooks freeze on typing or executing
Issue Type: Bug
VSCode Insiders (commit 57fd6d0195) freezes completely when working on a Jupyter notebook upon typing a few characters or executing cells.
I most often notice the problem when what I am typing is a python keyword or otherwise "special" e.g. a variable, package, method, etc. For example, if I want to type "list", the program only freezes when typing the final "t".
Extension version: 2022.5.0-pre.1
VS Code version: Code - Insiders 1.67.0-insider (57fd6d0195bb9b9d1b49f6da5db789060795de47, 2022-05-04T12:08:13.913Z)
OS version: Linux x64 5.10.109-1-MANJARO
Restricted Mode: No
System Info
Item
Value
CPUs
Intel(R) Core(TM) i3-6100 CPU @ 3.70GHz (4 x 3195)
GPU Status
2d_canvas: enabledcanvas_oop_rasterization: disabled_offdirect_rendering_display_compositor: disabled_off_okgpu_compositing: enabledmultiple_raster_threads: enabled_onoop_rasterization: disabled_offopengl: enabled_onrasterization: disabled_softwareraw_draw: disabled_off_okskia_renderer: enabled_onvideo_decode: disabled_softwarevideo_encode: disabled_softwarevulkan: disabled_offwebgl: enabledwebgl2: enabled
Load (avg)
2, 3, 2
Memory (System)
7.70GB (2.18GB free)
Process Argv
--no-sandbox --unity-launch --crash-reporter-id 1db3e155-3bf0-44bf-9d73-c052d635aacb
Screen Reader
no
VM
0%
DESKTOP_SESSION
plasma
XDG_CURRENT_DESKTOP
KDE
XDG_SESSION_DESKTOP
KDE
XDG_SESSION_TYPE
x11
A/B Experiments
vsliv695:30137379
vsins829:30139715
vsliv368cf:30146710
vsreu685:30147344
python383:30185418
vspor879:30202332
vspor708:30202333
vspor363:30204092
pythonvspyl392:30422396
pythontb:30258533
pythonptprofiler:30281269
vshan820:30294714
pythondataviewer:30285072
vscod805:30301674
pythonvspyt200:30323110
bridge0708:30335490
bridge0723:30353136
vsaa593:30376534
pythonvs932:30404738
wslgetstarted:30449409
pythonvsnew555:30438690
vscscmwlcmt:30465136
cppdebug:30475216
vsclangdc:30480125
The same problem occurred with version 2022.5.0-pre1 just now when I typed for bar in set(foo). I have reinstalled v2022.4.3 and turned off pylance.insidersChannel. I can't reproduce this problem because I don't know how to install 2022.5.0-pre1 once again.
OS and version: Ubuntu 20.04.4 LTS x86_64 | 5.13.0-40-generic
VS Code version: 1.67.0 (57fd6d0195bb9b9d1b49f6da5db789060795de47) x64
Extensions:
KevinRose.vsc-python-indent@1.15.0
ms-python.pylint@2022.1.11261003
ms-python.python@2022.7.11262018
ms-python.vscode-pylance@2022.4.3
ms-toolsai.jupyter@2022.5.1001281006
ms-toolsai.jupyter-keymap@1.0.0
ms-toolsai.jupyter-renderers@1.0.6
Python version (& distribution if applicable, e.g. Anaconda): miniconda with python 3.10.4
@bogurd @WXZhao7 @t-fourcade-isp I haven't had any luck reproducing this issue.
Can you please repro the issue and then send us the contents of your Python Language Server log in the Output pane? Our [troubleshooting guide] (https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#filing-an-issue) provides details on how to do that if you're not sure.
Do any of you have a notebook that repros this that you could share?
@debonte I, too, am unable to reproduce this. It used to be an issue until I uninstalled and reinstalled Pylance in frustration, shortly after opening the issue. Today, I logged into another computer via a remote ssh session inside VSCode. That computer probably had the older version of the extension as well and let to the same familiar freezes and crashing. As indicated by @judej , I switched to the release version and everything was fine.
Still, I believe there is/was some underlying issue here but probably has to do with the versioning and must be rather minor. I wonder if it is strictly related to what @WXZhao7 mentioned with the 2022.5.0-pre1 version, as that is what my original report was based on.
If you could provide us with a way to install the 2022.5.0-pre1 version, maybe we could try to get the trace for you? Or if you deem this is no longer relevant because we cannot reproduce this with the current version, feel free to close the issue.
@debonte I kept "pylance.insidersChannel": "daily" for several hours. But I can't get the insider version 2022.5.0-pre1 https://github.com/microsoft/pylance-release/pull/2772. Could we compile the VSIX file or download it?
@bogurd Excuse me, could you tell me how to generate the fancy System Info in your report?
@debonte Just now, I find 2022.5.0-pre1 was installed in the background. Here I show the screenshots, GIF and some log.
pylance version
debug config
reproducing record GIF
output of Pylance language server
[Info - 1:35:19 PM] (165115) Pylance language server 2022.5.0-pre.1 (pyright 4df1f74b) starting
[Info - 1:35:19 PM] (165115) Server root directory: /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist
[Info - 1:35:19 PM] (165115) No configuration file found.
[Info - 1:35:19 PM] (165115) No pyproject.toml file found.
[Info - 1:35:19 PM] (165115) Setting pythonPath for service "REAL": "/home/wxz/Program/miniconda3/envs/seismic/bin/python"
[Warn - 1:35:19 PM] (165115) stubPath /home/wxz/Work/MoXi/REAL/typings is not a valid directory.
[Info - 1:35:19 PM] (165115) Assuming Python version 3.10
[Info - 1:35:19 PM] (165115) Assuming Python platform Linux
[Info - 1:35:19 PM] (165115) Search paths for /home/wxz/Work/MoXi/REAL
[Info - 1:35:19 PM] (165115) /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/typeshed-fallback/stdlib
[Info - 1:35:19 PM] (165115) /home/wxz/Work/MoXi/REAL
[Info - 1:35:19 PM] (165115) /home/wxz/Work/MoXi/REAL/src
[Info - 1:35:19 PM] (165115) /home/wxz/Work/MoXi/REAL/typings
[Info - 1:35:19 PM] (165115) /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/typeshed-fallback/stubs/...
[Info - 1:35:19 PM] (165115) /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/bundled/stubs
[Info - 1:35:19 PM] (165115) /home/wxz/Program/miniconda3/envs/seismic/lib/python3.10
[Info - 1:35:19 PM] (165115) /home/wxz/Program/miniconda3/envs/seismic/lib/python3.10/lib-dynload
[Info - 1:35:19 PM] (165115) /home/wxz/Program/miniconda3/envs/seismic/lib/python3.10/site-packages
[Info - 1:35:19 PM] (165115) /home/wxz/Program/miniconda3/envs/seismic/lib/python3.10/site-packages/GDAL-3.4.2-py3.10-linux-x86_64.egg
[Info - 1:35:19 PM] (165115) /home/wxz/Program/python
[Info - 1:35:19 PM] (165115) Adding fs watcher for library directories:
/home/wxz/Program/miniconda3/envs/seismic/lib/python3.10
/home/wxz/Program/miniconda3/envs/seismic/lib/python3.10/lib-dynload
/home/wxz/Program/miniconda3/envs/seismic/lib/python3.10/site-packages
/home/wxz/Program/miniconda3/envs/seismic/lib/python3.10/site-packages/GDAL-3.4.2-py3.10-linux-x86_64.egg
/home/wxz/Program/python
[Info - 1:35:19 PM] (165115) Adding fs watcher for directories:
/home/wxz/Work/MoXi/REAL
[Info - 1:35:19 PM] (165115) Searching for source files
[Info - 1:35:19 PM] (165115) Found 6 source files
(165115) IntelliCode model /home/wxz/.vscode/extensions/visualstudioexptteam.vscodeintellicode-1.2.20/cache/E61945A9A512ED5E1A3EE3F1A2365B88F8FE_E4E9EADA96734F01970E616FAB2FAC19
[Info - 1:35:19 PM] (165115) Background analysis(1) root directory: /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist
[Info - 1:35:19 PM] (165115) Background analysis(1) started
(165115) Background analysis message: setConfigOptions
(165115) Background analysis message: setImportResolver
(165115) Background analysis message: ensurePartialStubPackages
(165115) Background analysis message: setTrackedFiles
(165115) Background analysis message: markAllFilesDirty
(165115) Background analysis message: analyze
(165115) [BG(1)] parsing: /home/wxz/Work/MoXi/REAL/input.py [fs read 2ms] (50ms)
(165115) [BG(1)] parsing: /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/typeshed-fallback/stdlib/builtins.pyi [fs read 1ms] (64ms)
(165115) [BG(1)] binding: /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/typeshed-fallback/stdlib/builtins.pyi (28ms)
(165115) [BG(1)] binding: /home/wxz/Work/MoXi/REAL/input.py (14ms)
(165115) [BG(1)] indexing: /home/wxz/Work/MoXi/REAL/input.py [found 8] (1ms)
(165115) Indexing Done: /home/wxz/Work/MoXi/REAL/input.py
(165115) [BG(1)] parsing: /home/wxz/Work/MoXi/REAL/results.py [fs read 2ms] (8ms)
(165115) [BG(1)] binding: /home/wxz/Work/MoXi/REAL/results.py (1ms)
(165115) [BG(1)] indexing: /home/wxz/Work/MoXi/REAL/results.py [found 2] (0ms)
(165115) Indexing Done: /home/wxz/Work/MoXi/REAL/results.py
(165115) [BG(1)] parsing: /home/wxz/Work/MoXi/REAL/run.py [fs read 0ms] (17ms)
(165115) [BG(1)] binding: /home/wxz/Work/MoXi/REAL/run.py (3ms)
(165115) [BG(1)] indexing: /home/wxz/Work/MoXi/REAL/run.py [found 9] (1ms)
(165115) Indexing Done: /home/wxz/Work/MoXi/REAL/run.py
(165115) [BG(1)] parsing: /home/wxz/Work/MoXi/REAL/runServer.py [fs read 0ms] (10ms)
(165115) [BG(1)] binding: /home/wxz/Work/MoXi/REAL/runServer.py (2ms)
(165115) [BG(1)] indexing: /home/wxz/Work/MoXi/REAL/runServer.py [found 6] (1ms)
(165115) Indexing Done: /home/wxz/Work/MoXi/REAL/runServer.py
(165115) [BG(1)] parsing: /home/wxz/Work/MoXi/REAL/analysis/quality.py [fs read 0ms] (6ms)
(165115) [BG(1)] binding: /home/wxz/Work/MoXi/REAL/analysis/quality.py (1ms)
(165115) [BG(1)] indexing: /home/wxz/Work/MoXi/REAL/analysis/quality.py [found 1] (0ms)
(165115) Indexing Done: /home/wxz/Work/MoXi/REAL/analysis/quality.py
(165115) [BG(1)] parsing: /home/wxz/Work/MoXi/REAL/run/main.py [fs read 0ms] (1ms)
(165115) [BG(1)] binding: /home/wxz/Work/MoXi/REAL/run/main.py (0ms)
(165115) [BG(1)] indexing: /home/wxz/Work/MoXi/REAL/run/main.py [found 7] (0ms)
(165115) Indexing Done: /home/wxz/Work/MoXi/REAL/run/main.py
(165115) Loading ONNX runtime...
(165115) Loaded ONNX runtime. Creating IntelliCode session...
(165115) Created IntelliCode session.
(165115) Initialize deeplearning succeeded
Additional GIF of the processing
> ps -eo pcpu,pid,user,args --no-headers| sort -t. -nk1,2 -k4,4 -r |head -n 5
81.4 167249 wxz /usr/share/code/code --type=renderer --enable-crashpad --crashpad-handler-pid=167205 --enable-crash-reporter=9e47ad37-4141-49e7-84f2-6aebaf7e0b3c,no_channel --user-data-dir=/home/wxz/.config/Code --standard-schemes=vscode-webview,vscode-file --secure-schemes=vscode-webview,vscode-file --bypasscsp-schemes --cors-schemes=vscode-webview,vscode-file --fetch-schemes=vscode-webview,vscode-file --service-worker-schemes=vscode-webview --streaming-schemes --app-path=/usr/share/code/resources/app --no-sandbox --no-zygote --enable-blink-features=HighlightAPI --disable-color-correct-rendering --lang=en-US --num-raster-threads=4 --enable-main-frame-before-activation --renderer-client-id=4 --launch-time-ticks=87805104473 --shared-files=v8_context_snapshot_data:100 --field-trial-handle=0,1374649714572269456,5330001163459376274,131072 --disable-features=PlzServiceWorker,SpareRendererForSitePerProcess --vscode-window-config=vscode:445ff305-8c87-4f2c-9451-2ed080fbf172 --enable-crashpad
33.6 167478 wxz /usr/share/code/code --ms-enable-electron-run-as-node /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/server.bundle.js --cancellationReceive=file:5f340ae34292617f269e6e625d13a94c03ceae483b --node-ipc --clientProcessId=167308
15.9 167308 wxz /usr/share/code/code --ms-enable-electron-run-as-node --inspect-port=0 /usr/share/code/resources/app/out/bootstrap-fork --type=extensionHost --skipWorkspaceStorageLock
11.1 167550 wxz /usr/share/code/code --ms-enable-electron-run-as-node /home/wxz/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1/dist/server.bundle.js --cancellationReceive=file:70181c6fe5ee73d84c9e1eb4c83b4e65cee885f6f9 --node-ipc --clientProcessId=167308
9.2 167410 wxz /usr/share/code/code --type=renderer --enable-crashpad --crashpad-handler-pid=167205 --enable-crash-reporter=9e47ad37-4141-49e7-84f2-6aebaf7e0b3c,no_channel --user-data-dir=/home/wxz/.config/Code --standard-schemes=vscode-webview,vscode-file --secure-schemes=vscode-webview,vscode-file --bypasscsp-schemes --cors-schemes=vscode-webview,vscode-file --fetch-schemes=vscode-webview,vscode-file --service-worker-schemes=vscode-webview --streaming-schemes --app-path=/usr/share/code/resources/app --no-sandbox --no-zygote --node-integration-in-worker --disable-color-correct-rendering --lang=en-US --num-raster-threads=4 --enable-main-frame-before-activation --renderer-client-id=6 --launch-time-ticks=87806782026 --shared-files=v8_context_snapshot_data:100 --field-trial-handle=0,1374649714572269456,5330001163459376274,131072 --disable-features=PlzServiceWorker,SpareRendererForSitePerProcess --vscode-window-config=vscode:6dcee9d0-6821-4f32-bdcc-febeeb6c8ec5 --vscode-window-kind=shared-process --enable-crashpad
@bogurd @debonte I compress the ~/.vscode/extensions/ms-python.vscode-pylance-2022.5.0-pre.1 and upload it ms-python.vscode-pylance-2022.5.0-pre.1.tgz. Just download and extract it to ~/.vscode/extensions for local or ~/.vscode-server/extensions for remote. Then you can reproduce this bug.
@WXZhao7 @debonte
I re-enabled insiders-channel: daily and I was able to reproduce the problem after few actions. Here is the log of Python Language server:
[```
Info - 08:56:30] (5160) Pylance language server 2022.5.0-pre.1 (pyright 4df1f74b) starting
[Info - 08:56:30] (5160) Server root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:31] (5160) No configuration file found.
[Info - 08:56:31] (5160) No pyproject.toml file found.
[Info - 08:56:31] (5160) Setting pythonPath for service "19A1116-ASML": "C:\Python\WPy64-39100\python-3.9.10.amd64\python.exe"
[Warn - 08:56:31] (5160) stubPath p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\typings is not a valid directory.
[Info - 08:56:31] (5160) Assuming Python version 3.9
[Info - 08:56:31] (5160) Assuming Python platform Windows
[Info - 08:56:31] (5160) Search paths for p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML
[Info - 08:56:31] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib
[Info - 08:56:31] (5160) p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML
[Info - 08:56:31] (5160) C:\Program Files\Siemens\NX1953\NXBIN\python
[Info - 08:56:31] (5160) p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\typings
[Info - 08:56:31] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stubs...
[Info - 08:56:31] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64
[Info - 08:56:31] (5160) c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib
[Info - 08:56:31] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin
[Info - 08:56:31] (5160) Adding fs watcher for library directories:
C:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
C:\Python\WPy64-39100\python-3.9.10.amd64\lib
C:\Python\WPy64-39100\python-3.9.10.amd64
C:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32\lib
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\Pythonwin
[Info - 08:56:31] (5160) Adding fs watcher for directories:
p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML
[Info - 08:56:31] (5160) Searching for source files
[Info - 08:56:32] (5160) Found 15 source files
[Info - 08:56:32] (5160) Background analysis(3) root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:32] (5160) Background analysis(3) started
[Info - 08:56:32] (5160) Background analysis(4) root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:32] (5160) Background analysis(4) started
[Info - 08:56:32] (5160) Background analysis(5) root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:32] (5160) Background analysis(5) started
[Info - 08:56:32] (5160) Background analysis(6) root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:32] (5160) Background analysis(6) started
[Info - 08:56:32] (5160) Background analysis(1) root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:32] (5160) Background analysis(1) started
(5160) Background analysis message: setConfigOptions
(5160) Background analysis message: setImportResolver
(5160) Background analysis message: ensurePartialStubPackages
(5160) Background analysis message: setTrackedFiles
(5160) Background analysis message: markAllFilesDirty
[Info - 08:56:32] (5160) Background analysis(2) root directory: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist
[Info - 08:56:32] (5160) Background analysis(2) started
[Info - 08:56:32] (5160) No configuration file found.
[Info - 08:56:32] (5160) No pyproject.toml file found.
[Info - 08:56:32] (5160) Setting pythonPath for service "20A1116-ASML": "C:\Python\WPy64-39100\python-3.9.10.amd64\python.exe"
[Warn - 08:56:32] (5160) stubPath n:\Calculs_optique\20A1116-ASML\typings is not a valid directory.
[Info - 08:56:33] (5160) Assuming Python version 3.9
[Info - 08:56:33] (5160) Assuming Python platform Windows
[Info - 08:56:33] (5160) Search paths for n:\Calculs_optique\20A1116-ASML
[Info - 08:56:33] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib
[Info - 08:56:33] (5160) n:\Calculs_optique\20A1116-ASML
[Info - 08:56:33] (5160) C:\Program Files\Siemens\NX1953\NXBIN\python
[Info - 08:56:33] (5160) n:\Calculs_optique\20A1116-ASML\typings
[Info - 08:56:33] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stubs...
[Info - 08:56:33] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64
[Info - 08:56:33] (5160) c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin
[Info - 08:56:33] (5160) Adding fs watcher for library directories:
C:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
C:\Python\WPy64-39100\python-3.9.10.amd64\lib
C:\Python\WPy64-39100\python-3.9.10.amd64
C:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32\lib
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\Pythonwin
[Info - 08:56:33] (5160) Adding fs watcher for directories:
n:\Calculs_optique\20A1116-ASML
[Info - 08:56:33] (5160) Searching for source files
[Info - 08:56:33] (5160) Found 3 source files
[Info - 08:56:33] (5160) No configuration file found.
[Info - 08:56:33] (5160) No pyproject.toml file found.
[Info - 08:56:33] (5160) Setting pythonPath for service "Simu_optique": "C:\Python\WPy64-39100\python-3.9.10.amd64\python.exe"
[Warn - 08:56:33] (5160) stubPath w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\typings is not a valid directory.
[Info - 08:56:33] (5160) Assuming Python version 3.9
[Info - 08:56:33] (5160) Assuming Python platform Windows
[Info - 08:56:33] (5160) Search paths for w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique
[Info - 08:56:33] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib
[Info - 08:56:33] (5160) w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique
[Info - 08:56:33] (5160) C:\Program Files\Siemens\NX1953\NXBIN\python
[Info - 08:56:33] (5160) w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\typings
[Info - 08:56:33] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stubs...
[Info - 08:56:33] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64
[Info - 08:56:33] (5160) c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib
[Info - 08:56:33] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin
[Info - 08:56:33] (5160) Adding fs watcher for library directories:
C:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
C:\Python\WPy64-39100\python-3.9.10.amd64\lib
C:\Python\WPy64-39100\python-3.9.10.amd64
C:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32\lib
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\Pythonwin
[Info - 08:56:33] (5160) Adding fs watcher for directories:
w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique
[Info - 08:56:33] (5160) Searching for source files
[Info - 08:56:34] (5160) Found 5 source files
(5160) Background analysis message: setConfigOptions
(5160) Background analysis message: setImportResolver
(5160) Background analysis message: ensurePartialStubPackages
(5160) Background analysis message: setTrackedFiles
(5160) Background analysis message: markAllFilesDirty
(5160) Background analysis message: analyze
[Info - 08:56:34] (5160) No configuration file found.
[Info - 08:56:34] (5160) No pyproject.toml file found.
[Info - 08:56:34] (5160) Setting pythonPath for service "Export_surface": "C:\Python\WPy64-39100\python-3.9.10.amd64\python.exe"
[Warn - 08:56:34] (5160) stubPath e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_surface\typings is not a valid directory.
[Info - 08:56:34] (5160) Assuming Python version 3.9
[Info - 08:56:34] (5160) Assuming Python platform Windows
[Info - 08:56:34] (5160) Search paths for e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_surface
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib
[Info - 08:56:34] (5160) e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_surface
[Info - 08:56:34] (5160) C:\Program Files\Siemens\NX1953\NXBIN\python
[Info - 08:56:34] (5160) e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_surface\typings
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stubs...
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64
[Info - 08:56:34] (5160) c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin
[Info - 08:56:34] (5160) Adding fs watcher for library directories:
C:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
C:\Python\WPy64-39100\python-3.9.10.amd64\lib
C:\Python\WPy64-39100\python-3.9.10.amd64
C:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32\lib
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\Pythonwin
[Info - 08:56:34] (5160) Adding fs watcher for directories:
e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_surface
[Info - 08:56:34] (5160) Searching for source files
[Info - 08:56:34] (5160) No source files found.
(5160) Background analysis message: analyze
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Conversion_ASML_ISP.py [fs read 4ms] (54ms)
(5160) [BG(1)] parsing: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib\builtins.pyi [fs read 2ms] (82ms)
(5160) [BG(1)] binding: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib\builtins.pyi (35ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Conversion_ASML_ISP.py (1ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Conversion_ASML_ISP.py [found 3] (1ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Conversion_ASML_ISP.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Interpolation_NX-Labview\Interpolation.py [fs read 10ms] (26ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Interpolation_NX-Labview\Interpolation.py (1ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Interpolation_NX-Labview\Interpolation.py [found 17] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Interpolation_NX-Labview\Interpolation.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Optics9\Optique seule\Traitement_Optics9_nominal.py [fs read 7ms] (25ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Optics9\Optique seule\Traitement_Optics9_nominal.py (2ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Optics9\Optique seule\Traitement_Optics9_nominal.py [found 20] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Optique\Optics9\Optique seule\Traitement_Optics9_nominal.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\Interpolation.py [fs read 20ms] (37ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\Interpolation.py (2ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\Interpolation.py [found 3] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\Interpolation.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TracageBarGraph_EPS_ASML.py [fs read 13ms] (20ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TracageBarGraph_EPS_ASML.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TracageBarGraph_EPS_ASML.py [found 15] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TracageBarGraph_EPS_ASML.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats.py [fs read 5ms] (7ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats.py (1ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats.py [found 10] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats_Batch.py [fs read 20ms] (22ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats_Batch.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats_Batch.py [found 10] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Resultats_B6\TraitementResultats_Batch.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ASML.py [fs read 4ms] (7ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ASML.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ASML.py [found 7] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ASML.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ZernikesLabview.py [fs read 3ms] (5ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ZernikesLabview.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ZernikesLabview.py [found 8] (1ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Export_ZernikesLabview.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\InterpolationNX.py [fs read 2ms] (7ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\InterpolationNX.py (2ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\InterpolationNX.py [found 3] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\InterpolationNX.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX.py [fs read 4ms] (6ms)
[Info - 08:56:34] (5160) Could not import 'Interpolation' in file 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX.py'
[Info - 08:56:34] (5160) Looking in stubPath 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\typings'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\typings'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\typings'
[Info - 08:56:34] (5160) Looking in root directory of execution environment 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML'
[Info - 08:56:34] (5160) Looking in extraPath 'C:\Program Files\Siemens\NX1953\NXBIN\python'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'C:\Program Files\Siemens\NX1953\NXBIN\python'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'C:\Program Files\Siemens\NX1953\NXBIN\python'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib'
[Info - 08:56:34] (5160) Looking in python search path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin'
[Info - 08:56:34] (5160) Looking in bundled stubs path 'c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs'
[Info - 08:56:34] (5160) Attempting to resolve stub package using root path 'c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs'
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs'
[Info - 08:56:34] (5160) Looking for typeshed stdlib path
[Info - 08:56:34] (5160) Looking for typeshed stdlib path
[Info - 08:56:34] (5160) Attempting to resolve using root path 'c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib'
[Info - 08:56:34] (5160) Typeshed path not found
[Info - 08:56:34] (5160) Looking for typeshed third-party path
[Info - 08:56:34] (5160) Looking for typeshed stubs path
[Info - 08:56:34] (5160) Typeshed path not found
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX.py (1ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX.py [found 9] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX_Batch.py [fs read 3ms] (6ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX_Batch.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX_Batch.py [found 9] (1ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\TraitementResultatsNX_Batch.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportDep_Batch.py [fs read 2ms] (3ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportDep_Batch.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportDep_Batch.py [found 9] (0ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportDep_Batch.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportTemperatureProfile_Batch.py [fs read 2ms] (4ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportTemperatureProfile_Batch.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportTemperatureProfile_Batch.py [found 22] (1ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\ThermoMeca\Résultats_D6\Fuite\ImportTemperatureProfile_Batch.py
(5160) [BG(1)] parsing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Utils\Tracage_outputLabview.py [fs read 13ms] (26ms)
(5160) [BG(1)] binding: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Utils\Tracage_outputLabview.py (0ms)
(5160) [BG(1)] indexing: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Utils\Tracage_outputLabview.py [found 3] (1ms)
(5160) Indexing Done: p:\ISP-T.Fourcade\ProgrammesPython\JupyterLab\AFF\19A1116-ASML\Utils\Tracage_outputLabview.py
(5160) Background analysis message: setConfigOptions
(5160) Background analysis message: setImportResolver
(5160) Background analysis message: ensurePartialStubPackages
(5160) Background analysis message: setTrackedFiles
(5160) Background analysis message: markAllFilesDirty
(5160) Background analysis message: analyze
[Info - 08:56:34] (5160) No configuration file found.
[Info - 08:56:34] (5160) No pyproject.toml file found.
[Info - 08:56:34] (5160) Setting pythonPath for service "Export_Temp": "C:\Python\WPy64-39100\python-3.9.10.amd64\python.exe"
[Warn - 08:56:34] (5160) stubPath e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_Temp\typings is not a valid directory.
[Info - 08:56:34] (5160) Assuming Python version 3.9
[Info - 08:56:34] (5160) Assuming Python platform Windows
[Info - 08:56:34] (5160) Search paths for e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_Temp
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib
[Info - 08:56:34] (5160) e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_Temp
[Info - 08:56:34] (5160) C:\Program Files\Siemens\NX1953\NXBIN\python
[Info - 08:56:34] (5160) e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_Temp\typings
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stubs...
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64
[Info - 08:56:34] (5160) c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin
[Info - 08:56:34] (5160) Adding fs watcher for library directories:
C:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
C:\Python\WPy64-39100\python-3.9.10.amd64\lib
C:\Python\WPy64-39100\python-3.9.10.amd64
C:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32\lib
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\Pythonwin
[Info - 08:56:34] (5160) Adding fs watcher for directories:
e:\Calculs\AFF\20A1116-ASML\HODM_D6\Export_Temp
[Info - 08:56:34] (5160) Searching for source files
[Info - 08:56:34] (5160) No source files found.
(5160) [BG(2)] parsing: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Rename_Zisp_Zasml.py [fs read 5ms] (61ms)
(5160) [BG(2)] parsing: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib\builtins.pyi [fs read 2ms] (96ms)
(5160) [BG(2)] binding: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib\builtins.pyi (33ms)
(5160) [BG(2)] binding: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Rename_Zisp_Zasml.py (1ms)
(5160) [BG(2)] indexing: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Rename_Zisp_Zasml.py [found 8] (1ms)
(5160) Indexing Done: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Rename_Zisp_Zasml.py
(5160) [BG(2)] parsing: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Output_Labview_1mm\Affichage_Phase.py [fs read 3ms] (10ms)
(5160) [BG(2)] binding: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Output_Labview_1mm\Affichage_Phase.py (1ms)
(5160) [BG(2)] indexing: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Output_Labview_1mm\Affichage_Phase.py [found 4] (0ms)
(5160) Indexing Done: n:\Calculs_optique\20A1116-ASML\Optique\Optics9_nominal\Output_Labview_1mm\Affichage_Phase.py
(5160) [BG(2)] parsing: n:\Calculs_optique\20A1116-ASML\Optique\VerificationOrdreZernike\sauv_temp\Affichage_Phase.py [fs read 12ms] (14ms)
(5160) [BG(2)] binding: n:\Calculs_optique\20A1116-ASML\Optique\VerificationOrdreZernike\sauv_temp\Affichage_Phase.py (1ms)
(5160) [BG(2)] indexing: n:\Calculs_optique\20A1116-ASML\Optique\VerificationOrdreZernike\sauv_temp\Affichage_Phase.py [found 10] (0ms)
(5160) Indexing Done: n:\Calculs_optique\20A1116-ASML\Optique\VerificationOrdreZernike\sauv_temp\Affichage_Phase.py
(5160) Background analysis message: setConfigOptions
(5160) Background analysis message: setImportResolver
(5160) Background analysis message: ensurePartialStubPackages
(5160) Background analysis message: setTrackedFiles
(5160) Background analysis message: markAllFilesDirty
(5160) Background analysis message: analyze
[Info - 08:56:34] (5160) No configuration file found.
[Info - 08:56:34] (5160) No pyproject.toml file found.
[Info - 08:56:34] (5160) Setting pythonPath for service "ASML_miroir refroidi": "C:\Python\WPy64-39100\python-3.9.10.amd64\python.exe"
[Warn - 08:56:34] (5160) stubPath z:\Banc_optique\MesureMiroirs\ASML_miroir refroidi\typings is not a valid directory.
[Info - 08:56:34] (5160) Assuming Python version 3.9
[Info - 08:56:34] (5160) Assuming Python platform Windows
[Info - 08:56:34] (5160) Search paths for z:\Banc_optique\MesureMiroirs\ASML_miroir refroidi
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib
[Info - 08:56:34] (5160) z:\Banc_optique\MesureMiroirs\ASML_miroir refroidi
[Info - 08:56:34] (5160) C:\Program Files\Siemens\NX1953\NXBIN\python
[Info - 08:56:34] (5160) z:\Banc_optique\MesureMiroirs\ASML_miroir refroidi\typings
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stubs...
[Info - 08:56:34] (5160) c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\bundled\stubs
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64
[Info - 08:56:34] (5160) c:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\win32\lib
[Info - 08:56:34] (5160) c:\Python\WPy64-39100\python-3.9.10.amd64\Lib\site-packages\pythonwin
[Info - 08:56:34] (5160) Adding fs watcher for library directories:
C:\Python\WPy64-39100\python-3.9.10.amd64\DLLs
C:\Python\WPy64-39100\python-3.9.10.amd64\lib
C:\Python\WPy64-39100\python-3.9.10.amd64
C:\Users\t.fourcade\AppData\Roaming\Python\Python39\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\win32\lib
C:\Python\WPy64-39100\python-3.9.10.amd64\lib\site-packages\Pythonwin
[Info - 08:56:34] (5160) Adding fs watcher for directories:
z:\Banc_optique\MesureMiroirs\ASML_miroir refroidi
[Info - 08:56:34] (5160) Searching for source files
[Info - 08:56:35] (5160) No source files found.
(5160) [BG(3)] parsing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Extended_Beams_ASML\Traitement_D60.py [fs read 20ms] (83ms)
(5160) [BG(3)] parsing: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib\builtins.pyi [fs read 2ms] (87ms)
(5160) [BG(3)] binding: c:\Users\t.fourcade.vscode\extensions\ms-python.vscode-pylance-2022.5.0-pre.1\dist\typeshed-fallback\stdlib\builtins.pyi (27ms)
(5160) [BG(3)] binding: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Extended_Beams_ASML\Traitement_D60.py (3ms)
(5160) [BG(3)] indexing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Extended_Beams_ASML\Traitement_D60.py [found 19] (1ms)
(5160) Indexing Done: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Extended_Beams_ASML\Traitement_D60.py
(5160) [BG(3)] parsing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_Margin.py [fs read 10ms] (21ms)
(5160) [BG(3)] binding: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_Margin.py (2ms)
(5160) [BG(3)] indexing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_Margin.py [found 13] (0ms)
(5160) Indexing Done: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_Margin.py
(5160) [BG(3)] parsing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes.py [fs read 3ms] (9ms)
(5160) [BG(3)] binding: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes.py (1ms)
(5160) [BG(3)] indexing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes.py [found 14] (0ms)
(5160) Indexing Done: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes.py
(5160) [BG(3)] parsing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes_lambda.py [fs read 3ms] (6ms)
(5160) [BG(3)] binding: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes_lambda.py (1ms)
(5160) [BG(3)] indexing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes_lambda.py [found 14] (0ms)
(5160) Indexing Done: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_amplitudes_lambda.py
(5160) [BG(3)] parsing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_qualities.py [fs read 2ms] (7ms)
(5160) [BG(3)] binding: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_qualities.py (2ms)
(5160) [BG(3)] indexing: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_qualities.py [found 16] (0ms)
(5160) Indexing Done: w:\AFF\20A1116_ASML_MD_refroidi\Calculs\Simu_optique\Misalignement_beam Size influence\210315_Cartos influences\Carto_qualities.py
(5160) Background analysis message: setConfigOptions
(5160) Background analysis message: setImportResolver
(5160) Background analysis message: ensurePartialStubPackages
(5160) Background analysis message: setTrackedFiles
(5160) Background analysis message: markAllFilesDirty
(5160) Background analysis message: analyze
(5160) Background analysis message: setConfigOptions
(5160) Background analysis message: setImportResolver
(5160) Background analysis message: ensurePartialStubPackages
(5160) Background analysis message: setTrackedFiles
(5160) Background analysis message: markAllFilesDirty
(5160) Background analysis message: analyze
Great work in reproducing this! I can confirm this is exactly what I was seeing.
@bogurd Excuse me, could you tell me how to generate the fancy System Info in your report?
@WXZhao7, this report was generated by the vscode extension bisect command. This is what narrowed down the problem to pylance and allowed me to open an issue. Highly recommended!
@bogurd Thanks! Yesterday, I checked the settings line by line and disabled the extension one by one. :cry:
I can confirm the same crash occurs in v2022.5.1 as well, albeit I couldn't see this "on keyword completion" effect of it. Instead, it happens when fiddling with cells, such as executing, copying, moving, etc.
Same issue, I turned off Jupyter: Pylance Handles Notebooks and it stop freezing when typing.
{"jupyter.pylanceHandlesNotebooks": false}
It's pretty easy for me to repro this consistently. Here are my steps:
Type a function definition in cell 1
Type the name of that function in cell 2
The instant I type the last character, vscode stops responding
A minute later
@roblourens thank you for the repro steps! it should be fixed in next release.
Thank you @heejaechang!
@heejaechang Given the steps in https://github.com/microsoft/pylance-release/issues/2783#issuecomment-1125496102 , I debugged the values returned as semantic tokens.
Opening the above notebook, the initial semantic tokens for the 2 text documents are:
{ resultId: 1, tokens : [4294967295, 0, 7, 16, 0, 1, 4, 3, 11, 1] }
{ resultId: 2, tokens : [4294967293, 0, 7, 16, 0, 1, 4, 3, 11, 1] }
Note that both these documents have invalid tokens. First of all, the first token's deltaLine value is huge, indicating an overflow caused by perhaps a negative value? Also, the second document is empty, so it is unlikely that it should have any semantic tokens. When pasting foo in the second document I see the following delta:
{ resultId: 3, edits: [{ start: 4294967276, deleteCount: 0, data: [2, 0, 3, 11, 0] }] }
This one also seems invalid, indicating an overflow caused by perhaps a negative value.
I bring this up because it looks like also the initial values are incorrect, not just the deltas, so https://github.com/microsoft/pyrx/pull/2415 might not be sufficient.
@alexdima thank you for looking into the actual data passed around. I didn't look at the actual data just checked the fact that it didn't crash. that being said, we just use lib provided by LSP, and didn't care much what data it actually put in the array that sent back to corresponding code in vscode side. I can take a look again, but even if there is issue, all we can do is probably open a bug in LSP side.
@alexdima I looked into it. it was due to this. It is a workaround due to the current concat doc approach where it has a hidden header.
it will be all gone once we moved to new approach with official language server protocol notebook support. we will drop concat doc approach and handle cell individually which will let us to enable all features disabled due to limitation of concat doc.
we will re-enable delta when we move to new model as well.
Someone please make a video tutorial if you can, I am facing this issue and new to code and can't really understand you guys
@Shiv907, this is a very old issue. If you have recent builds of the Python, Pylance, and Jupyter extensions installed and are seeing a problem, please file a new issue.
Someone please make a video tutorial if you can, I am facing this issue and new to code and can't really understand you guys
Thank you I can relate
|
gharchive/issue
| 2022-05-08T09:18:37 |
2025-04-01T04:35:03.079342
|
{
"authors": [
"Peteryost",
"Shiv907",
"WXZhao7",
"alexdima",
"bogurd",
"debonte",
"heejaechang",
"munro",
"roblourens",
"t-fourcade-isp"
],
"repo": "microsoft/pylance-release",
"url": "https://github.com/microsoft/pylance-release/issues/2783",
"license": "CC-BY-4.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
1334456413
|
conditionally disable inlayHints
The inlayHints feature is really helpful, and I've been using both variable, and function hints since they came out. However, there are some cases where the inlayHints add visual clutter rather than useful information. The biggest example of this can be seen in Enums and constants:
It would be nice if there were a way to disable Literal[] hints since it seems to be a corner case, Or if there were some way of disabling inlayHints on a specific block of code so large enums, or a method with a large number of declarations e.g., a large __init__() method could be disabled.
I am +1 on not showing inlay hint when it is very obvious. but there are some cases Literal is useful such as when there is constant folding
ex) a = 1 + 1
inlay hint will show Literal[2]
or literal with different format
ex) a = 0xA103
|
gharchive/issue
| 2022-08-10T11:06:27 |
2025-04-01T04:35:03.084974
|
{
"authors": [
"Harry-Lees",
"heejaechang"
],
"repo": "microsoft/pylance-release",
"url": "https://github.com/microsoft/pylance-release/issues/3168",
"license": "CC-BY-4.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
1459995031
|
100% CPU usage on systemd repository
I hit what looks like a similar issue to #1939. I have pylance v2022.11.30 and when I open code on my systemd repository the pylance process goes to 100% and seems to be on an infinite loop of following links, according to strace:
statx(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/block/sdb/queue/bsg", AT_STATX_SYNC_AS_STAT|AT_SYMLINK_NOFOLLOW, STATX_ALL, {stx_mask=STATX_ALL|STATX_MNT_ID, stx_attributes=0, stx_mode=S_IFLNK|0777, stx_size=20, ...}) = 0
statx(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/block/sdb/queue/bsg", AT_STATX_SYNC_AS_STAT, STATX_ALL, {stx_mask=STATX_ALL|STATX_MNT_ID, stx_attributes=0, stx_mode=S_IFDIR|0755, stx_size=58, ...}) = 0
readlinkat(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/block/sdb/queue/bsg", "../../../bsg/7:0:0:0", 4096) = 20
statx(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/bsg", AT_STATX_SYNC_AS_STAT|AT_SYMLINK_NOFOLLOW, STATX_ALL, {stx_mask=STATX_ALL|STATX_MNT_ID, stx_attributes=0, stx_mode=S_IFDIR|0755, stx_size=14, ...}) = 0
statx(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/bsg/7:0:0:0", AT_STATX_SYNC_AS_STAT|AT_SYMLINK_NOFOLLOW, STATX_ALL, {stx_mask=STATX_ALL|STATX_MNT_ID, stx_attributes=0, stx_mode=S_IFDIR|0755, stx_size=58, ...}) = 0
statx(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/bsg/7:0:0:0/subsystem", AT_STATX_SYNC_AS_STAT|AT_SYMLINK_NOFOLLOW, STATX_ALL, {stx_mask=STATX_ALL|STATX_MNT_ID, stx_attributes=0, stx_mode=S_IFLNK|0777, stx_size=42, ...}) = 0
statx(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/bsg/7:0:0:0/subsystem", AT_STATX_SYNC_AS_STAT, STATX_ALL, {stx_mask=STATX_ALL|STATX_MNT_ID, stx_attributes=0, stx_mode=S_IFDIR|0755, stx_size=42, ...}) = 0
readlinkat(AT_FDCWD, "/home/kov/work/systemd/build/test/sys/devices/pci0000:00/0000:00:1d.7/usb5/5-1/5-1:1.0/host7/target7:0:0/7:0:0:0/bsg/7:0:0:0/subsystem", "../../../../../../../../../../.."..., 4096) = 42
And that goes on and on forever.
https://github.com/systemd/systemd
Have the same problem after installing the latest pylance. I am using MacOS 12.6.1. Activity Monitor shows that the Code Helper is using up 50-60% of CPU while the VSCode is idle. After uninstalling pylance, the CPU usage becomes normal.
Can you provide more details on how to repro this?
I cloned https://github.com/systemd/systemd, opened the folder in VS Code, and then opened test\create-sys-script.py. I was suspecting that the recursive symlink at https://github.com/systemd/systemd/blob/main/test/testdata would cause problems, but Pylance detects and skips it. And I didn't see any CPU craziness. I tried this on both Ubuntu and Windows.
[Warn - 1:59:05 PM] (9740) Skipping recursive symlink "c:\temp\systemd\test\testdata" -> "c:\temp\systemd\test"
It is happening for me just by opening the folder in code, no need to open any files. After some poking, it looks like it being compiled is necessary, note the /build/ in the path. I tried moving my build dir away and it seems to have helped. Closing code does not make the pylance process go away, it keeps going.
I can provide you with a copy of my build directory or run any diagnostics if it'll help. I looked at the symlinks and none of them are recursive that I could see.
Do you want Pylance to look at the files in the build directory? If not, you could exclude them from our file search, either via the python.analysis.exclude VS Code setting or using Pyright's exclude config setting.
Providing your build directory might help me repro this. I wasn't able to build systemd. Not sure what I'm doing wrong.
Here's my build directory, hopefully it reproduces the problem: https://cloud.kov.dev.br/s/8yk2sY46G9XfjP8/download/systemd-build.tar.xz
I worked it around by disabling pylance, as I only rarely use Python. I think it's important to fix this as the process remains alive even after closing vs code, and after a few cycles of opening / closing vscode the system basically grinds to a halt. May cause other people to have to force reboot if they somehow reproduce a similar corner case, or waste a lot of battery.
This does not sound acceptable to me, given it'll bring down the system if the user encounters this and doesn't realize. I only noticed this when I had to power cycle my system due to several pylance processes staying alive forever after a while. I guess this means I have to remove the extension so I won't run that risk.
|
gharchive/issue
| 2022-11-22T14:35:53 |
2025-04-01T04:35:03.092413
|
{
"authors": [
"Anonymous-Y",
"debonte",
"kov"
],
"repo": "microsoft/pylance-release",
"url": "https://github.com/microsoft/pylance-release/issues/3666",
"license": "CC-BY-4.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
2428836248
|
ERROR
Environment data
Language Server version: 2024.6.1
OS and version: darwin x64
Python version (and distribution if applicable, e.g. Anaconda):
python.analysis.indexing: true
python.analysis.typeCheckingMode: off
Code Snippet
XXX
Repro Steps
XXX
Expected behavior
XXX
Actual behavior
XXX
Logs
XXX
Thanks for the report. Unfortunately, this is not enough information for us to investigate this issue.
If this continues to be a problem, would you please reopen the issue and add the information described in the troubleshooting guide?
|
gharchive/issue
| 2024-07-25T02:41:16 |
2025-04-01T04:35:03.096683
|
{
"authors": [
"debonte",
"zhangyijue1984"
],
"repo": "microsoft/pylance-release",
"url": "https://github.com/microsoft/pylance-release/issues/6186",
"license": "CC-BY-4.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
575164684
|
linux cannot download Python-Language-Server 0.5.31
0.5.31 is available for osx and win, but linux still seems to be 0.5.30.
osx stable
https://pvsc.blob.core.windows.net/python-language-server-stable?restype=container&comp=list&prefix=Python-Language-Server-osx-x64
win stable
https://pvsc.blob.core.windows.net/python-language-server-stable?restype=container&comp=list&prefix=Python-Language-Server-win-x64
linux stable 0.5.31 missing
https://pvsc.blob.core.windows.net/python-language-server-stable?restype=container&comp=list&prefix=Python-Language-Server-linux-x64
This should be fixed.
|
gharchive/issue
| 2020-03-04T06:19:45 |
2025-04-01T04:35:03.104554
|
{
"authors": [
"jakebailey",
"yaegassy"
],
"repo": "microsoft/python-language-server",
"url": "https://github.com/microsoft/python-language-server/issues/1928",
"license": "Apache-2.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
836347207
|
Backtest on randomly generated data
🌟 Feature Description
Motivation
There should be a backtest based on pure randomly generated data. The idea is that if the model can make profit over random data, it is overfitting.
See the discussion here
Hi,
You can randomly generate a dataset and train a model on it.
I think it will be possible to make profit on training data while backtest after overfitting.
|
gharchive/issue
| 2021-03-19T20:44:49 |
2025-04-01T04:35:03.106636
|
{
"authors": [
"2young-2simple-sometimes-naive",
"you-n-g"
],
"repo": "microsoft/qlib",
"url": "https://github.com/microsoft/qlib/issues/354",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
998627124
|
Q# Command Line Process Multiple Files and Directories
Allows multiple inputs to be passed to the CLI. Inputs can be any mix of files, folders, and the - for specifying standard input. Folders are resolved to all the .qs files directly under them. The --recurse or -r flag can be specified to resolve folders recursively, processing all of their sub-directories and their sub-directories and so on.
Addresses #1154 and #1155.
It looks like the build is failing due to an extra newline that snuck into the formatted help output.
Also, the original PR comment at the top referred to #155 but it looks like that was meant to be #1155, so I took the liberty of updating it!
It looks like the build is failing due to an extra newline that snuck into the formatted help output.
Also, the original PR comment at the top referred to #155 but it looks like that was meant to be #1155, so I took the liberty of updating it!
Thanks, that's what I get for trying to do a last minute change, haha. It is fixed now.
|
gharchive/pull-request
| 2021-09-16T20:49:39 |
2025-04-01T04:35:03.109151
|
{
"authors": [
"ScottCarda-MS",
"swernli"
],
"repo": "microsoft/qsharp-compiler",
"url": "https://github.com/microsoft/qsharp-compiler/pull/1156",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
466598038
|
Comments in src/Simulation/Simulators/QCTraceSimulator/Circuits/*.qs in XML format
These files have comments in XML-doc format. They should be moved to use Q# doc comments format (Markdown).
Hey there,
I am interested in working on this. Do you have any requirements in terms of all of the inputs being documented, even if they're not in the old docs?
I have started here:
https://github.com/microsoft/qsharp-runtime/compare/master...codingupastorm:master
|
gharchive/issue
| 2019-07-11T00:50:30 |
2025-04-01T04:35:03.110873
|
{
"authors": [
"anpaz-msft",
"codingupastorm"
],
"repo": "microsoft/qsharp-runtime",
"url": "https://github.com/microsoft/qsharp-runtime/issues/18",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
667750508
|
'Question: [RCTView support cursor property]'
Now i need to modify cursor when mouseEntered and restore it after mouseExited.
if can export a prop likes cursor, eg: <View cursor="pointingHand"/>
Thanks.
I resolved it by onMouseEnter and onMouseLeave event hooks,
And set cursor by a nativemodule react-native-app-interface!
nativemodule react-native-app-interface
could you please shed some light how did you do that ? I have installed "react-native-app-interface" via npm. What should be done next? Could you paste some code sample please?
|
gharchive/issue
| 2020-07-29T10:56:47 |
2025-04-01T04:35:03.115700
|
{
"authors": [
"RockyF",
"arturmusin"
],
"repo": "microsoft/react-native-macos",
"url": "https://github.com/microsoft/react-native-macos/issues/525",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
757834124
|
uuid4 and grouptag not quoted
I'm using this spec
https://github.com/jdegre/5GC_APIs/blob/master/TS29518_Namf_Communication.yaml
In grammar.py generated by compiler, there's option quoted=True. But capturing with wireshark shows that it's not quoted.
}
,
"smsfId":"""),
primitives.restler_fuzzable_uuid4("566048da-ed19-4cd3-8e0a-b7e0e1ec4d72", quoted=True),
Same thing happens with grouptag
primitives.restler_fuzzable_group("fuzzable_group_tag", ['3GPP_ACCESS','NON_3GPP_ACCESS'] ,quoted=True),
Hello,
Thanks a lot for filing this issue and providing the detailed description. We'll look into this right away.
|
gharchive/issue
| 2020-12-06T03:15:20 |
2025-04-01T04:35:03.143780
|
{
"authors": [
"I-mpossible",
"rifiles"
],
"repo": "microsoft/restler-fuzzer",
"url": "https://github.com/microsoft/restler-fuzzer/issues/103",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1715966566
|
UX: Fix preview wrap in chatlistitem
Motivation and Context
The preview text wrap causes the ChatListItem changes its height if the latest message is longer than the previous one. It results in instability of the UI.
Description
Prevent the preview text from wrapping by setting the display to 'block' and applying 'no-wrap' and ellipsis
Remove styles that are not in-use.
After the fix:
Contribution Checklist
[x] The code builds clean without any errors or warnings
[x] The PR follows SK Contribution Guidelines (https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
~[ ] The code follows the .NET coding conventions (https://learn.microsoft.com/dotnet/csharp/fundamentals/coding-style/coding-conventions) verified with dotnet format~
~[ ] All unit tests pass, and I have added new tests where possible~
[x] I didn't break anyone :smile:
Can we also set min width on chat list item as well?
Can we also set min width on chat list item as well?
@hathind-ms it's already set in the root styles
|
gharchive/pull-request
| 2023-05-18T17:03:39 |
2025-04-01T04:35:03.148441
|
{
"authors": [
"Vivihung",
"hathind-ms",
"teresaqhoang"
],
"repo": "microsoft/semantic-kernel",
"url": "https://github.com/microsoft/semantic-kernel/pull/1067",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
946931949
|
Starting terminal on boot not configurable.
Windows Terminal version (or Windows build number)
1.8.1521.0
Other Software
No response
Steps to reproduce
Windows Settings -> Apps -> Startup -> Scroll down to "Windows Terminal"
The option is greyed out.
Task Manager -> Startup -> Windows Terminal -> Enable -> Close and reopen Task Manager -> See that enabling it didn't persist.
https://user-images.githubusercontent.com/31551546/126053068-31a7e10c-2b42-40dc-a19e-a22824c784f7.mp4
Expected Behavior
I expect to be able to control whether or not windows terminal opens on boot.
Actual Behavior
Windows Terminal forcibly opens itself on startup, and I (as shown above) cannot change it.
Oh, and yes, the internal "Launch on machine startup" setting is disabled, too.
Thanks for the report! We can't figure out why this would happen; we're not locking the state of the task, and Terminal's code here tries to turn it off if your settings say that it should be off.
I actually fixed this a while ago with a full reinstall of windows. I tried all over to fix my issue, to no avail. I finally just gave up and bit the bullet after that. It happened on other apps too, and I couldn't find any regedit key / group policy key that would lock the startup state like that.
You're free to close this, unless someone else is having it too :)
Weird. Something must have been messed up on your system, but I guess it'll be impossible to know for sure what now. We'll keep our ears open for this if anyone else ever reports it.
Thanks for following up!
|
gharchive/issue
| 2021-07-18T01:39:30 |
2025-04-01T04:35:03.153393
|
{
"authors": [
"DHowett",
"sarahkittyy",
"zadjii-msft"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/issues/10699",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1128468358
|
Another hole in the Terminal when opening a dialog
I forgot to report a bug related to this.
If I open Settings and then also About, and then click the Close button, part of the screen is shifted.
So I thought this behavior was a bug, not a feature.
Originally posted by @akihironagai in https://github.com/microsoft/terminal/issues/12396#issuecomment-1032362345
Another instance of #12208? but with the close tabs warning?
OK... I come from #12455, and tried the steps mentioned above, got another buggy situation:
steps:
open Settings
click About
resizing window with mouse dragging window right bottom corner.
and another one🤣
@epiciskandar That's actually https://github.com/microsoft/terminal/issues/2380
Doing some investigation into this - my initial suspicion is that this has something to do with trying to open a dialog when there's already another dialog open. Here are the other ways I've managed to repro this:
Opening the 'about' dialog when there's more than one tab open (not necessarily the settings tab), and then clicking the close button (which should cause the 'confirm close all tabs' dialog to show up, but instead causes this issue)
Doing a multi-line paste (causing the 'warn multi line paste' dialog to show up), then clicking the close button when there's multiple tabs open
Hello. I am now using Windows Terminal Preview Version: 1.13.10734.0 (Windows 11). Unfortunately, I am still seeing this behavior when I paste text larger than 5KiB.
Unfortunately, I am still seeing this behavior
same here, it's not really being fixed
@epiciskandar Which version are you on? There's been 3 different attempts to fix this so far, all in different versions, so you might not have the very latest fix yet.
Windows Terminal Preview
Version: 1.13.10733.0
Microsoft Windows [Version 10.0.19044.1620]
The fix will be released with the "1098" series of servicing updates. That will be 1.12.10982/3/4 and 1.13.10983/4
|
gharchive/issue
| 2022-02-09T12:18:39 |
2025-04-01T04:35:03.161381
|
{
"authors": [
"DHowett",
"PankajBhojwani",
"epiciskandar",
"jnunderwood",
"zadjii-msft"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/issues/12447",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1497795026
|
Taskbar icon status is blinking
Windows Terminal version
1.16.3464.0
Windows build number
10.0.22621.0
Other Software
PowerShell 7.3.1
Steps to reproduce
Open pwsh in the folder with many small files and run the command:
ls '*.*' | % { Compress-Archive -Path $_ -DestinationPath ($_.BaseName + '.zip') }
Expected Behavior
No response
Actual Behavior
The taskbar icon will behave as follows:
Does this repro the same if you ran the same command in the vintage console? (conhost pwsh in the Run dialog should work).
Oh, I wonder if powershell is setting the taskbar progress with VT, but because the files are so small, they complete almost immediately, resetting the progress state back. @stevel-msft does that sound like something powershell would do?
@zadjii-msft Nope, it's ok in the old console.
I first saw this a couple of updates ago. But I'm not sure who is to blame, wt or pwsh. I have a script that runs foreach in parallel with each loop as a background job. In the loops, I run some file conversion tools. At the same time, I show overall progress of the script in the tab title and on the taskbar icon. This blinking thing keeps interrupting the progress display.
This command to compress a bunch of small files is just a quick example to show and reproduce what happens.
This might just end up by-design. Seems like Compress-Archive (or some other machination of powershell) is setting the taskbar progress, but it's setting the icon to the progress state for such a short period of time that it effectively just flashes the underline like that.
I'd reckon there's probably a way to disable this in PowerShell, but alas, that I don't know. @stevel-msft might know better than myself.
/aside: I do like the way you're wrapping up that Compress-Archive command with progress bar sequences in that above snippet. I might borrow that for some of my own scripts 😄
|
gharchive/issue
| 2022-12-15T05:05:59 |
2025-04-01T04:35:03.167194
|
{
"authors": [
"eddiezato",
"zadjii-msft"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/issues/14565",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
497852101
|
HTML Copy does not preserve background colors in PowerPoint
Environment
Windows build number: 10.0.18362.0
Windows Terminal version (if applicable): 0.5.2661.0
Any other software? Windows Subsystem Linux (version 1) with Ubuntu 18.04, latest zsh,
latest Oh My Zsh, agnoster theme in Oh My Zsh, Source Code Pro for Powerline font,
although these may not be strictly necessary to reproduce
Steps to reproduce
Open a Ubuntu 18.04 tab
Select the prompt and copy it (right click in this specific case)
Paste in PowerPoint
Expected behavior
A somewhat similar copy of the prompt gets pasted in PowerPoint. (the strange looking blue part at the top is just the line right above the prompt that was just another prompt but shifted a little bit)
Actual behavior
The background information is not pasted. The background of the line is not copied either.
The background information is pasted correctly in Word.
I do not know whether this issue is caused by Windows Terminal or PowerPoint. If PowerPoint is the culprit, could you point me towards where I could report this?
Thank you, and thanks for the amazing job you guys are doing on this project!
Hey @utybo! Thanks for the report. As far as we can tell, this is unfortunately an issue in PowerPoint. It looks like they're just rejecting the backgrounds on all incoming pasted <span>s ☹️
It might be worth filing an issue in their feedback portal! If you could do that--it means more when it comes from a customer--I'd be happy to upvote it or prod some powerpoint folks about it on your behalf.
In our case, though, this is going to be Resolution-External.
Understood, I'll leave an issue on the feedback portal ASAP and I'll post a link here 😄
Here is a link: https://aka.ms/AA67u2t
Please tell me if there is something else I need to do
|
gharchive/issue
| 2019-09-24T18:26:40 |
2025-04-01T04:35:03.172724
|
{
"authors": [
"DHowett-MSFT",
"utybo"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/issues/2875",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
658041937
|
Windows Terminal keeps forgetting/can't find my default WSL Ubuntu profile
Environment
Windows build number: Version 1909 (OS Build 18363.900)
Windows Terminal version (if applicable): 1.0.1811.0
Any other software?
Ubuntu 18.04 LTS for WSL
Steps to reproduce
WSL and Ubuntu 18.04 are already installed and configured.
Install Windows Terminal from the Microsoft Store.
Upon first installation, it will automatically pick up the Ubuntu profile
Set the Ubuntu profile as default in settings.json
After e.g. restarting the pc, Windows Terminal can no longer find the default profile and does not list Ubuntu in the drop-down
Expected behavior
Ubuntu 18.04 for WSL to persist as the default profile that Windows Terminal uses when it launches.
Actual behavior
After e.g. restarting the pc, Windows Terminal can no longer find the default profile and does not list Ubuntu in the drop-down.
The following error occurs when launching Windows Terminal:
"
Encountered errors while loading user settings
Could not find your default profile in your list of profiles - using the first profile. Check to make sure the "defaultProfile" matches the GUID of one of your profiles.
"
The defaultProfile guid matches that of the Ubuntu profile. JSON for Ubuntu profile:
{
"guid": "{some_guid}",
"hidden": false,
"name": "Ubuntu-18.04",
"source": "Windows.Terminal.Wsl",
"startingDirectory": "//wsl$/Ubuntu-18.04/home/my_username"
}
If you relaunch terminal some time later, does the Ubuntu profile show back up?
No, it seems to lose track of it forever.
Can you share the output of wsl -l -v --all? If that fails, can you just run wsl -l?
It didn't like the -v flag, but wsl -l gives:
Windows Subsystem for Linux Distributions:
Ubuntu-18.04 (Default)
Wow, this is really unexpected. Can you share your entire settings.json?
I wonder if it's something to do with "source": "Windows.Terminal.Wsl", because when I comment this line out, it does seem to launch into Ubuntu. Although it's not quite right, because it doesn't set all the colour/font scheme settings I have, doesn't have the Linux icon, and doesn't like me passing in a starting directory.
Here's the full settings.json:
// This file was initially generated by Windows Terminal 1.0.1811.0
// It should still be usable in newer versions, but newer versions might have additional
// settings, help text, or changes that you will not see unless you clear this file
// and let us generate a new one for you.
// To view the default settings, hold "alt" while clicking on the "Settings" button.
// For documentation on these settings, see: https://aka.ms/terminal-documentation
{
"$schema": "https://aka.ms/terminal-profiles-schema",
"defaultProfile": "{c6eaf9f4-32a7-5fdc-b5cf-066e8a4b1e40}",
// You can add more global application settings here.
// To learn more about global settings, visit https://aka.ms/terminal-global-settings
// If enabled, selections are automatically copied to your clipboard.
"copyOnSelect": false,
// If enabled, formatted data is also copied to your clipboard
"copyFormatting": false,
// A profile specifies a command to execute paired with information about how it should look and feel.
// Each one of them will appear in the 'New Tab' dropdown,
// and can be invoked from the commandline with `wt.exe -p xxx`
// To learn more about profiles, visit https://aka.ms/terminal-profile-settings
"profiles":
{
"defaults":
{
// Put settings here that you want to apply to all profiles.
},
"list":
[
{
// Make changes here to the powershell.exe profile.
"guid": "{61c54bbd-c2c6-5271-96e7-009a87ff44bf}",
"name": "Windows PowerShell",
"commandline": "powershell.exe",
"hidden": false
},
{
// Make changes here to the cmd.exe profile.
"guid": "{0caa0dad-35be-5f56-a8ff-afceeeaa6101}",
"name": "Command Prompt",
"commandline": "cmd.exe",
"hidden": false
},
{
"guid": "{c6eaf9f4-32a7-5fdc-b5cf-066e8a4b1e40}",
"hidden": false,
"name": "Ubuntu-18.04",
"source": "Windows.Terminal.Wsl",
"startingDirectory": "//wsl$/Ubuntu-18.04/home/<user>",
"colorScheme": "Ubuntu",
"fontFace": "DejaVuSansMono"
},
{
"guid": "{b453ae62-4e3d-5e58-b989-0a998ec441b8}",
"hidden": false,
"name": "Azure Cloud Shell",
"source": "Windows.Terminal.Azure"
}
]
},
// Add custom color schemes to this array.
// To learn more about color schemes, visit https://aka.ms/terminal-color-schemes
"schemes": [
{
"name": "Ubuntu",
"background": "#300a24",
"foreground": "#eeeeec",
"black": "#2e3436",
"red": "#cc0000",
"green": "#4e9a06",
"yellow": "#c4a000",
"blue": "#3465a4",
"purple": "#75507b",
"cyan": "#06989a",
"white": "#d3d7cf",
"brightBlack": "#555753",
"brightRed": "#ef2929",
"brightGreen": "#8ae234",
"brightYellow": "#fce94f",
"brightBlue": "#729fcf",
"brightPurple": "#ad7fa8",
"brightCyan": "#34e2e2",
"brightWhite": "#eeeeec"
}
],
// Add custom keybindings to this array.
// To unbind a key combination from your defaults.json, set the command to "unbound".
// To learn more about keybindings, visit https://aka.ms/terminal-keybindings
"keybindings":
[
// Copy and paste are bound to Ctrl+Shift+C and Ctrl+Shift+V in your defaults.json.
// These two lines additionally bind them to Ctrl+C and Ctrl+V.
// To learn more about selection, visit https://aka.ms/terminal-selection
{ "command": {"action": "copy", "singleLine": false }, "keys": "ctrl+c" },
{ "command": "paste", "keys": "ctrl+v" },
// Press Ctrl+Shift+F to open the search box
{ "command": "find", "keys": "ctrl+shift+f" },
// Press Alt+Shift+D to open a new pane.
// - "split": "auto" makes this pane open in the direction that provides the most surface area.
// - "splitMode": "duplicate" makes the new pane use the focused pane's profile.
// To learn more about panes, visit https://aka.ms/terminal-panes
{ "command": { "action": "splitPane", "split": "auto", "splitMode": "duplicate" }, "keys": "alt+shift+d" }
]
}
Interesting. So, when you comment out source two things happen.
Terminal stops deleting the profile
Terminal launches cmd.exe (lol), not wsl
When a profile has a source and a guid, Terminal queries to make sure that the source (in this case, "wsl") still thinks it exists. When Terminal asks, unfortunately, WSL reports that there aren't any installed distributions.
Are you running WT at a different user than your desktop session?
Yeah that's basically what happens. I'm running WT as the same user. It's so odd because whenever I do a fresh install of WT it always works fine, and then at some point it just breaks.
Is there some hidden guid that my Ubuntu installation has that causes a conflict?
By commenting out "source" using "commandline" : "wsl -d Ubuntu-18.04" (from the docs here ) instead, it seems to work more or less the same way as it does on a fresh install that uses "source"
So what do you think is happening with "source": "Windows.Terminal.Wsl"?
So, going out even further on a limb ... does it take a while for wsl to respond when you run wsl -l or start up Ubuntu?
When it was in a broken state, I would say yes. Compared to now (no errors because I'm using "commandLine" rather than "source"`. When it was broken, it would take a little while to list Ubuntu, and then a bit longer to complete the command. Now it's instantaneous.
Also, erm, now if I comment out the commandLine option and uncomment source, it works...
It's like running it using commandLine has made it remember about WSL. Though I suspect this fix won't last?
When it was broken, it would also take some time to launch and close down Terminal. Especially closing down - it would quit the UI but the application would stay 'active' in the taskbar for a little while.
For a little bit of backstory... Terminal queries which WSL distributions exist every time it's launched, by running wsl -l. That might seem strange, but it's based on the official guidance from the WSL team. Now, sometimes wsl fails to return anything in time. That used to cause Terminal to hang indefinitely on startup!
I reached out to the dev lead who owns some of the WSL usermode experience, and he suggested that two seconds is "long enough" to give WSL to respond. Pursuant to that, we added a timeout: if WSL doesn't respond within 2 seconds, Terminal will move on as though WSL is wedged, stalled or stopped. Our launch issues went away overnight!
It seems like you're one of the suffering few that have lingering WSL issues. I might have to bounce you over to the WSL repository for this one, if only because they'll know best how to handle an issue like this. 😕
If you'd like to make startup fully deterministic and move back to manual control for WSL, here's what you can do.
Add "disabledProfileSources": [ "Windows.Terminal.Wsl" ] to the root node of your settings file
Get rid of the source line from your WSL profile
Add "commandline": "wsl -d Ubuntu-18.04"
Add "icon": "ms-appx:///ProfileIcons/{9acb9455-ca41-5af7-950f-6bca1bc9722f}.png" to get the Tux icon back
Note that doing this will disable all WSL distribution autodetection!
Interesting! Well, for my circumstances the fact that I can use the "commandLine" option as a permanent fix is fine; I'm not worried about auto-detecting additional WSL distributions. I suppose any number of things could be causing WSL to be a bit slow? Whatever's happening is somewhat inconsistent as I've restarted my machine in the past few hours, which has always caused it to break in the past, and now it's fine. The only thing in the chain of events I've done differently is temporarily removing "source" and adding "commandLine": "wsl -d Ubuntu-18.04", which brought recognition of the default profile back, and then removing "commandLine" and putting "source" back in.
Regardless, I'm fine with the proposed solution and don't personally need further investigation (although I am personally curious!). Thanks for your help, that's some great detective work.
And of course getting Tux back is the most important thing ;)
Much appreciated. Thanks for debugging with me! :smile:
I just had this problem today. Seems like Windows Terminal uses a sort of well-known GUID value for the WSL profile (it also does for PowerShell.Core). If you have custom profile using "source": "Windows.Terminal.Wsl" and the guid doesn't match the expected value (for me it's "{2c4de342-38b7-51cf-b940-2309a097f518}") then you get this error. In fact, if you don't use this guid value in your custom profile, Terminal seems to add the "missing" profile automatically, and then you end up with two profiles using the same source but with different guid values.
If you have a profile with a source that the source doesn't know about, it will be ignored. The GUID is the only way it can know. :smile:
If you add a custom profile with a source, it's not likely to work unless that profile was actually generated by that source.
Restart
Open the original ubuntu terminal. (The one that you downloaded from microsoft store
Wait for the Welcome login to be finished (This message is shown once a day. To disable it please create the
/home/<your_username>/.hushlogin file.)
Close it, and go back to your windows terminal, it should work fine now.
Happened to me (seemingly) after updating Docker for Windows.
Haven't had any issues with WSL2 for months. I updated Docker for Windows from 2.4.0 to 2.5.0 as prompted by the tool recently. Had no issues with updating Docker for Windows in the past. This time too everything continued to work at first. But today the WSL option had disappeared from WT dropdown selection. wsl.exe was not responding at all. Docker for Windows too would get stuck in its Starting stage.
What fixed it for me:
Run optionalfeatures.exe as admin
Unselect Windows Subsystem for Linux
Restart
Run Enable-WindowsOptionalFeature -Online -FeatureName $("VirtualMachinePlatform", "Microsoft-Windows-Subsystem-Linux") as admin
Restart
Everything back to normal
@Kaarel so glad you mentioned the Docker update. Same thing happened for me and I never would have connected the dots. Your solution fixed it, thank you!
I think I've solved it, ish.
It seems that in a new terminal install there is something wrong with the defaultProfile line. On two completely different computers I had the same issue. Copying the guid value always ended with the same error as you, nothing to do with Ubuntu by the way, I'm using OpenSUSE.
But copy and paste all of it, quote makes, comma, new line, etc. And it now takes it.
I think the default settings.json seems to be corrupt or gets corrupt in some unnoticeable way, like uses the wrong quote symbol or something.
I think I've solved it, ish.
It seems that in a new terminal install there is something wrong with the defaultProfile line. On two completely different computers I had the same issue. Copying the guid value always ended with the same error as you, nothing to do with Ubuntu by the way, I'm using OpenSUSE.
But copy and paste all of it, quote makes, comma, new line, etc. And it now takes it.
I think the default settings.json seems to be corrupt or gets corrupt in some unnoticeable way, like uses the wrong quote symbol or something.
Just upgraded to 20H2 (OS Build 19042.789) and started getting this problem. Fortunately I don't need wsl autodetection, but just wanted to mention this still happens,.
I changed my default shell from Bash to ZSH on Ubuntu 20.04:
PS C:\Users\d.mankowski> wsl -l -v --all
NAME STATE VERSION
* Ubuntu-20.04 Running 2
And after restarting OS, Windows Terminal prints Could not find your default profile in your list of profiles - using the first profile. Check to make sure the "defaultProfile" matches the GUID of one of your profiles even though the file has not changed at all.
Here is the weird part: after commenting out "source": "Windows.Terminal.Wsl", the problem is gone and everything works as expected (Windows Terminal launches ZSH on Ubuntu). I also changed guid to one showed by uuidgen command.
{
"guid": "{f9b0ce25-0fd1-4d9b-91c0-6258bf4f08d1}",
"hidden": false,
"name": "Ubuntu WSL2",
// "source": "Windows.Terminal.Wsl",
"startingDirectory": "//wsl$/Ubuntu-20.04/home/dmankowski",
"icon": "ms-appx:///ProfileIcons/{9acb9455-ca41-5af7-950f-6bca1bc9722f}.png",
"historySize": 9001,
"snapOnInput": true,
"cursorColor": "#FFFFFF",
"cursorShape": "bar",
"commandline": "wsl ~",
"fontFace": "Consolas",
"fontSize": 12,
"acrylicOpacity": 1,
"useAcrylic": true,
"closeOnExit": false,
"padding": "0, 0, 0, 0"
},
I encountered the same problem after installing the pre-release version along with the standard version that I have used for a long time. It seems that the pre-release one accidentally corrupted the setting file (but I didn't notice anything weird when I was checking the setting.json).
Here is my solution:
Exit the terminal.
Delete the setting.json file
Relaunch the terminal to let it generate a fresh new setting.json.
Then, I get my WSL profile back.
Curious. The preview and stable versions do not interact.
Now, I have uninstalled the preview version. But when I tried to set the default profile to WSL, the problem occurs again. I have to re-install the stable version to see my WSL again.
I'm not aware of the internal mechanism and this might be misleading, but I began encountering this problem after installing the preview version.
Using the Preview version this has happen to me tonight after an update to docker today. Using @Kaarel fix of removing WSL work.
I just had Ubuntu disappear from my WT profiles drop-down after installing Docker Desktop (v3.2.2; fresh install, not upgrade), logging out, and logging back in (as the Docker Desktop installer requests).
I have WT configured to start on login ("startOnUserLogin": true), so maybe the freshly-installed Docker, in the midst of all the other Windows startup/logon tasks, lagged WSL to the point that it didn't respond in time to WT's initial wsl -l request (as per @DHowett's very useful comment above)?
This PC is running an Intel Core i5-2500 from almost 10 years ago, so it wouldn't take much to slow it down :)
I saw the comment asking if wsl -l is slow, and for me it wasn't slow at all (by the time I tried running that), but I found that just adding a comment to my settings.json was enough to get the WSL distro to appear in the profiles drop-down again!
Presumably the settings.json file modification, despite not changing the actual JSON data, caused WT to reload its settings and re-request the list of distros from WSL, and this time WSL responded in time because it wasn't competing with whatever else was running at login?
I don't know how practical it would be for WT to just try again later if WSL fails to respond in time to the initial wsl -l request?
Either way, "changing anything (even a comment) in settings.json, and saving it" might at least help some people recover their WSL profiles in WT! :)
(I don't yet know if I'm going to be losing my WSL profiles every time I log in. I'm hoping this was just a one-off caused by the fresh Docker install. We'll see!)
Windows Terminal 1.6.10571.0
Windows 10 20H2 19042.867
Ubuntu 20.04.2
Just started getting this issue, I have not messed with my settings at all, but I get this message and my Debian install is missing from the dropdown randomly. It started working again and then stopped again. Trying to launch the Debian shell directly on another comment's suggestions, it just hangs forever. I am still on Windows 10 2004.
Trying to launch the Debian shell directly on another comment's suggestions, it just hangs forever. I am still on Windows 10 2004.
This sounds like a very good thing to report on the WSL repository!
Just started getting this issue, I have not messed with my settings at all, but I get this message and my Debian install is missing from the dropdown randomly. It started working again and then stopped again. Trying to launch the Debian shell directly on another comment's suggestions, it just hangs forever. I am still on Windows 10 2004.
same , my default ubuntu install is just missing , Also downloaded ubuntu shell isn't responding , hang forever . Only "unexpected" thing I can think of is that I closed all 4 opened tabs in one go few hours ago , maybe that , idk .
I changed my default shell from Bash to ZSH on Ubuntu 20.04:
PS C:\Users\d.mankowski> wsl -l -v --all
NAME STATE VERSION
* Ubuntu-20.04 Running 2
And after restarting OS, Windows Terminal prints Could not find your default profile in your list of profiles - using the first profile. Check to make sure the "defaultProfile" matches the GUID of one of your profiles even though the settings file has not been changed at all.
Here is the weird part: after commenting out "source": "Windows.Terminal.Wsl", the problem is gone and everything works as expected (Windows Terminal launches ZSH on Ubuntu). I also changed guid to one showed by uuidgen command.
{
"guid": "{f9b0ce25-0fd1-4d9b-91c0-6258bf4f08d1}",
"hidden": false,
"name": "Ubuntu WSL2",
// "source": "Windows.Terminal.Wsl",
"startingDirectory": "//wsl$/Ubuntu-20.04/home/dmankowski",
"icon": "ms-appx:///ProfileIcons/{9acb9455-ca41-5af7-950f-6bca1bc9722f}.png",
"historySize": 9001,
"snapOnInput": true,
"cursorColor": "#FFFFFF",
"cursorShape": "bar",
"commandline": "wsl ~",
"fontFace": "Consolas",
"fontSize": 12,
"acrylicOpacity": 1,
"useAcrylic": true,
"closeOnExit": false,
"padding": "0, 0, 0, 0"
},
I didn't have that source
This also happened to me. I don't think I did any update at all, between when it worked and now.
I started the default terminal "Ubuntu 20.04 LTS", said the machine was not responding. wsl -l in PowerShell responded instantly.
I typed just wsl in PowerShell, it switched over to Ubuntu and restarted Windows Terminal. Now it works as expected
I have been facing same problem but i made a small changes in setting of default terminal after which the same dialogue box doesn't appear.
Go to Settings -> Privacy & Security -> For Developers
Go to Terminal Section
Change the default terminal host From ''Windows Terminal'' to ''Windows Console Host''.
Wow, so I found a non-painful way to solve this. No reboot required, no fiddling around, no scratching heads.
Go to Windows Terminal's Settings.
On the left, there is a list of settings icons.
Scroll down, until you see each distribution.
Click on the Plus, which is the very last entry of the list.
You will have the option to add, duplicate or modify one of the profiles.
This is the only place, that even lists the profile, that is not showing up anywhere, else.
Now, duplicate the profile entry, which is not working for you.
Reload settings.json in a text editor.
Edit the new profile entry.
Everything you set up now with that automatically added (duplicated) profile works now.
Should it help anyone else, I randomly hit this too where it "Could not find your default profile".
I delete the "source" line from this profile I had set as default, problem went away.
"commandline": "C:\\Program Files\\PowerShell\\7-preview\\pwsh.exe -NoLogo",
"guid": "{a3a2e83a-884a-5379-baa8-16f193a13b21}",
"hidden": false,
"icon": "ms-appx:///ProfileIcons/pwsh-preview.png",
"name": "PowerShell Preview",
"source": "Windows.Terminal.PowershellCore"
7. Now, duplicate the profile entry, which is not working for you.
8. Reload `settings.json` in a text editor.
9. Edit the new profile entry.
This works; I can confirm. (I was missing my Debian profile after installing and even rebooting the PC.)
Additionally, you can just select "Settings" and then click on your duplicated Linux entry. (Mine said, "Debian (Copy)") This brings up the settings profile for your Linux entry. All I had to do was edit the name, everything else looked good. Then just save your settings and you are good to go.
|
gharchive/issue
| 2020-07-16T09:53:41 |
2025-04-01T04:35:03.220721
|
{
"authors": [
"DHowett",
"DuncanSimon",
"Grinnz",
"Kaarel",
"ShenhanQian",
"Stripy42",
"The-Monkey-King",
"abhineet-space",
"aziraphale",
"craiglandis",
"d-mankowski-samsung",
"gliss",
"lemonez",
"lmatter",
"mikesigs",
"pavankalyannv",
"remarcbalisi",
"stfuanu",
"theAkito",
"zabbidou"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/issues/6946",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
796262650
|
De-underline hyperlink on hover-out, even if not focused
Testing WT Preview 1.6.10272.0.
Ok, now that we got the underline hyperlink on hover, even when not focused (#8475, #8615)... can we have them always de-underline on mouseout as well? You know, for consistency? 😉
Right now, the underline gets removed only when another hyperlink gets underlined, not when the mouse moves away from it.
YUP we should do that, good catch.
YUP we should do that, good catch.
@zadjii-msft - I am wondering why we chose to implement #8475 rather than #6459. Won't it make the behavior more consistent and prevent issues like this one?
@zadjii-msft - I am wondering why we chose to implement #8475 rather than #6459. Won't it make the behavior more consistent and prevent issues like this one?
@don-vito curious though -- would implementing focus-follows-mouse fix the issue where hyperlinks get underlined and never get un-underlined when the whole window is out of focus?
FFM is very controversial. I don't think it's the solution to any problems except the problem some users perceive where we do not have FFM. :smile:
@don-vito curious though -- would implementing focus-follows-mouse fix the issue where hyperlinks get underlined and never get un-underlined when the whole window is out of focus?
FFM is very controversial. I don't think it's the solution to any problems except the problem some users perceive where we do not have FFM. :smile:
@DHowett - what you mention regarding the entire window losing focus is another aspect that requires a fix, but it is not related directly to this report. The problem here is due to a gap in the implementation of mouse hover over unfocused pane. And the fix here will be different from the fix that will be required for window losing focus.
My suggestion for FFM is replacing the code that introduced this gap. I was not aware though that FFM is so controversial :blush:
I am handing this separately from FFM.
|
gharchive/issue
| 2021-01-28T18:53:52 |
2025-04-01T04:35:03.227580
|
{
"authors": [
"DHowett",
"Don-Vito",
"PhMajerus",
"zadjii-msft"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/issues/8925",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
728963284
|
Fully regenerate CodepointWidthDetector from Unicode 13.0
This commit also adds an override UCD and migrates all of the overrides
from GetQuickCharWidth into it.
GetQuickCharWidth
The removal of overrides from GQCW reduces the number of comparisons
required for looking up a single character's width from 41 (32
individual ranged comparisons from GQCW + 8+1 from the binary search in
CPWD) to 11 (2 from GQCW, 8+1 from CPWD).
GQCW also incorrectly marked 67 reserved codepoints as Wide when they
should have been Narrow.
The codepoints whose definitions have changed from Wide to Narrow are:
2E9A 2EF4 2EF5 2EF6 2EF7 2EF8 2EF9 2EFA 2EFB 2EFC 2EFD 2EFE 2EFF 2FD6
2FD7 2FD8 2FD9 2FDA 2FDB 2FDC 2FDD 2FDE 2FDF 2FE0 2FE1 2FE2 2FE3 2FE4
2FE5 2FE6 2FE7 2FE8 2FE9 2FEA 2FEB 2FEC 2FED 2FEE 2FEF 2FFC 2FFD 2FFE
2FFF 31E4 31E5 31E6 31E7 31E8 31E9 31EA 31EB 31EC 31ED 31EE 31EF 321F
A48D A48E A48F FE1A FE1B FE1C FE1D FE1E FE1F FE53 FE67
All of them are reserved, but those reserved regions are marked as narrow
in the UCD.
This change also offers us the chance to document exactly why we're
overriding a specific character range. Comments from the override
document will be copied to the generated CPWD table.
New in Unicode 13.0
Some widths have changed due to previously-reserved characters becoming
used such as U+32FF SQUARE ERA NAME REIWA, the Tangut components
756-768, the entire Khitan Small Script character set, and the Tangut
Ideographs.
A number of the changes in this diff are due to better/worse comment
tracking and the removal of the Emoji/EPres comments. The script once
mistakenly applied comments to packed regions (and it has been updated
to not do so.)
Validation
I build a test application that compared codepoints 0-FFFF for GQCW
against their new registered widths.
If anyone knows, please can you let me know which version of Unicode WIndows Terminal currently supports, thanks.
@plastikfan do you have any reason to believe that it is not, in fact, 13.0?
No not all, but if thats the answer then great. Please confirm
In the issue you linked to this pull request, there is a discussion about the version of Unicode that is supported by the Windows Console. The version that Windows Terminal (and OpenConsole) supports doesn't mean anything for FluentTerm, because they are not using Windows Terminal (or OpenConsole)... so you're somewhat barking up the wrong tree in asking.
However: the inbox Windows console is updated from this repository, and this change made it into builds numbered 21xxx. Before that, we supported some smattering of Unicode versions 9, 10, and 11.
Sorry, I think you mis-intepret me. All I'm trying to do is assist in researching why emoji display is not working properly in Fluent terminal. I was asked to find out what version of Unicode Windows terminal is currently using (so that the correct so called unicode addon can be loaded into xterm) and with your info, this is done. Thank you for responding.
If xterm.js supports Unicode 13, and Fluent Terminal is using the traditional in-box Windows console, it will disagree about the size of a character with xterm.js which will cause visual artifacts.
|
gharchive/pull-request
| 2020-10-25T07:47:50 |
2025-04-01T04:35:03.235085
|
{
"authors": [
"DHowett",
"plastikfan"
],
"repo": "microsoft/terminal",
"url": "https://github.com/microsoft/terminal/pull/8035",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2161626312
|
MSTEST0013: Flag cases where assemblycleanup is set on generic test class
fix: https://github.com/microsoft/testfx/issues/2421
@engyebrahim pls follow up the @Evangelink comments
|
gharchive/pull-request
| 2024-02-29T16:18:12 |
2025-04-01T04:35:03.245757
|
{
"authors": [
"MarcoRossignoli",
"engyebrahim"
],
"repo": "microsoft/testfx",
"url": "https://github.com/microsoft/testfx/pull/2487",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2304321188
|
Preserve leading whitespace in fenced blocks in doc comments
Fixes #3370.
This also updates the generated documentation and typescript code to fix lack of indentation on existing fenced blocks in this repo.
/azp run typespec - pr tools
:x: There is undocummented changes. Run chronus add to add a changeset or click here.
The following packages have changes but are not documented.
:x:@typespec/compiler
:x:@typespec/http
:x:@typespec/protobuf
:x:@typespec/rest
:x:@typespec/versioning
:x:@typespec/xml
Show changes
/azp run typespec - pr tools
You can try these changes at https://cadlplayground.z22.web.core.windows.net/prs/3399/
Check the website changes at https://tspwebsitepr.z22.web.core.windows.net/prs/3399/
|
gharchive/pull-request
| 2024-05-18T21:50:52 |
2025-04-01T04:35:03.251211
|
{
"authors": [
"Veetaha",
"azure-sdk",
"timotheeguerin"
],
"repo": "microsoft/typespec",
"url": "https://github.com/microsoft/typespec/pull/3399",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1470827346
|
Some questions about tokenizer of BeiT v2
A really nice work !
But I have some questions about practical experience.
(1).Does a new tokenizer based vqkd can be trained on a small dataset, such as 30k images ? ( The pretrained tokenizer in paper will encode every image into 256 codes, which are too long for me. ) I have try to use CLIP-B/32 as teacher and the patch size of tokenizer is also 32( the new tokenizer will encode every image into 49 codes). However, with origin config (12 encoder layers and 3 decoder layers) , most codes will not be used. So I only use 6 encoder layers, 1 decoder layer and codebook_n_emd is set to 1000. Still about 50% tokens will not be used. So another questions :
(2).How to increase the usage of codebook? Contuning to reduce the number of layers or dimension of hidden states?
(3).To take it a step further，with few codes (49) of every image and without teacher, can this tokenizer be trained ? Since the patch size of teacher limites the code-numbers of image. Just make sure the tokenizer will be converaged and the quality of reconstructed images is not very important for me. If you don't try this situation, can you give me some intuitive suggestions ?
@pengzhiliang
Really helps a lot ! Thank you !
|
gharchive/issue
| 2022-12-01T07:35:41 |
2025-04-01T04:35:03.254247
|
{
"authors": [
"lizhiustc"
],
"repo": "microsoft/unilm",
"url": "https://github.com/microsoft/unilm/issues/936",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
625198839
|
[VCPKG|CI] Not reporting regression in subsequent CI reruns
Behavior observed in https://github.com/microsoft/vcpkg/pull/11596
https://github.com/microsoft/vcpkg/runs/710031311
reports qt5-x11extras:x64-linux as a regression
https://github.com/microsoft/vcpkg/runs/710641884
was manually canceled?
https://github.com/microsoft/vcpkg/runs/710719825
still shows the qt5-x11extras:x64-linux as a failure but does not report it as a regression
closed because I did accidently update the baseline to do that......
|
gharchive/issue
| 2020-05-26T21:06:34 |
2025-04-01T04:35:03.256740
|
{
"authors": [
"Neumann-A"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/11600",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
625527681
|
Bond update to 9.0.0
Library name: Bond
New version number: 9.0.0
https://github.com/microsoft/bond/releases/tag/9.0.0
Another vote for this update (note: Visual Studio 2019 16.6 breaks Bond < 9.0.0)
I think that such an update is already underway in https://github.com/microsoft/vcpkg/pull/10319
|
gharchive/issue
| 2020-05-27T09:20:31 |
2025-04-01T04:35:03.258777
|
{
"authors": [
"chwarr",
"mdslack",
"salmanhk"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/11615",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
654291659
|
Could not find a package configuration file provided by "evpp"
CMakeLists.txt
find_package(evpp CONFIG REQUIRED)
CMake Error at /vcpkg/scripts/buildsystems/vcpkg.cmake:415 (_find_package):
Could not find a package configuration file provided by "evpp" with any of
the following names:
evppConfig.cmake
evpp-config.cmake
Add the installation prefix of "evpp" to CMAKE_PREFIX_PATH or set
"evpp_DIR" to a directory containing one of the above files. If "evpp"
provides a separate development package or SDK, be sure it has been
installed.
Host Environment
docker ubuntu
Compiler:
Microsoft Visual Studio 2019 Version 16.6.3
g++ (Ubuntu 9.3.0-10ubuntu2) 9.3.0
To Reproduce
./vcpkg install evpp
file not exist:
evpp-config.cmake
evppConfig.cmake
Failure logs
1> Dateien werden auf den Remotecomputer kopiert.
1> Die CMake-Generierung für die Konfiguration wurde gestartet: "Linux-GCC-Debug".
1> Ausführbare cmake-Datei gefunden unter "/usr/bin/cmake".
1> /usr/bin/cmake -G "Ninja" -DCMAKE_BUILD_TYPE="Debug" -DCMAKE_TOOLCHAIN_FILE="/vcpkg/scripts/buildsystems/vcpkg.cmake" -DCMAKE_INSTALL_PREFIX=/projects/Iso-Interface/Linux-GCC-Debug/out/install/ "/projects/Iso-Interface/Iso_Server/CMakeLists.txt";
1> [CMake] CMake Error at /vcpkg/scripts/buildsystems/vcpkg.cmake:415 (_find_package):
1> [CMake] Could not find a package configuration file provided by "evpp" with any of
1> [CMake] the following names:
1> [CMake]
1> [CMake] evppConfig.cmake
1> [CMake] evpp-config.cmake
1> [CMake]
1> [CMake] Add the installation prefix of "evpp" to CMAKE_PREFIX_PATH or set
1> [CMake] "evpp_DIR" to a directory containing one of the above files. If "evpp"
1> [CMake] provides a separate development package or SDK, be sure it has been
1> [CMake] installed.
1> [CMake] Call Stack (most recent call first):
1> [CMake] CMakeLists.txt:21 (find_package)
1> [CMake] -- Configuring incomplete, errors occurred!
1> [CMake] See also "/projects/Iso-Interface/Linux-GCC-Debug/out/build/CMakeFiles/CMakeOutput.log".
1> "cd "/projects/Iso-Interface/Linux-GCC-Debug/out/build";/usr/bin/cmake -G "Ninja" -DCMAKE_BUILD_TYPE="Debug" -DCMAKE_TOOLCHAIN_FILE="/vcpkg/scripts/buildsystems/vcpkg.cmake" -DCMAKE_INSTALL_PREFIX=/projects/Iso-Interface/Linux-GCC-Debug/out/install/ "/projects/Iso-Interface/Iso_Server" 2>&1;" wurde mit Exitcode zurückgegeben: 1
This is an upstream issue. evpp does not support clients using CMake, because it does not export a CMake package.
As it is right now, you have to manually find the includes, the library files, and guess whether they are shred or static.
Judging by the lack of activity in the upstream repo and the lack of responses to https://github.com/Qihoo360/evpp/issues/280, I doubt this will be fixed, or any other issues for that matter.
|
gharchive/issue
| 2020-07-09T19:20:09 |
2025-04-01T04:35:03.268154
|
{
"authors": [
"MCl57",
"friendlyanon"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/12349",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
720501840
|
Failed to install g2o on windows
Hi, I am trying to use the g2o library https://github.com/RainerKuemmerle/g2o on windows. I follow the instruction to install it use the following script .bat file:
==============Start of bat file ================================
@echo off
setlocal
rem ----------------------------------
rem Locate vcpkg using environment variables falling back to sensible defaults
rem ----------------------------------
set "VcPkgDir=%USERPROFILE%.vcpkg\vcpkg"
set "VcPkgTriplet=x64-windows"
if defined VCPKG_ROOT_DIR if /i not "%VCPKG_ROOT_DIR%"=="" set "VcPkgDir=%VCPKG_ROOT_DIR%"
if defined VCPKG_DEFAULT_TRIPLET if /i not "%VCPKG_DEFAULT_TRIPLET%"=="" set "VcPkgTriplet=%VCPKG_DEFAULT_TRIPLET%"
pushd %VcPkgDir%
rem ==============================
rem Upgrade and Install packages.
rem ==============================
set "VcPkgLibs=eigen3 suitesparse clapack openblas ceres"
echo vcpkg found at %VcPkgDir%...
echo installing %VcPkgLibs% for triplet %VcPkgTriplet%...
call vcpkg upgrade %VcPkgLibs% --no-dry-run --triplet %VcPkgTriplet%
call vcpkg install %VcPkgLibs% --triplet %VcPkgTriplet%
popd
endlocal & set "VcPkgDir=%VcPkgDir%" & set "VcPkgTriplet=%VcPkgTriplet%"
==================End of bat =========================
But I got the following errors:
Package ceres:x64-windows is already installed
Package clapack:x64-windows is already installed
Package eigen3:x64-windows is already installed
Package openblas:x64-windows is already installed
Detecting compiler hash for triplet x64-windows...
Starting package 5/4: lapack-reference:x64-windows
Building package lapack-reference[blas-select,core,noblas]:x64-windows...
Could not locate cached archive: C:\Users\gcong\AppData\Local\vcpkg\archives\02\020e39d13d0484a2c3f6f3b9ec57ea6a08bae5b6.zip
CMake Error at ports/lapack-reference/portfile.cmake:8 (message):
Can't build lapack-reference if clapack is installed. Please remove
clapack:x64-windows, and try to install lapack-reference:x64-windows again.
Call Stack (most recent call first):
scripts/ports.cmake:79 (include)
Error: Building package lapack-reference:x64-windows failed with: BUILD_FAILED
Please ensure you're using the latest portfiles with .\vcpkg update, then
submit an issue at https://github.com/Microsoft/vcpkg/issues including:
Package: lapack-reference:x64-windows
Vcpkg version: 2020.06.15-nohash
Additionally, attach any relevant sections from the log files above.
My computer:
Windows 10
Package: lapack-reference:x64-windows
Vcpkg version: 2020.06.15-nohash
How can I fix it?
Can't build lapack-reference if clapack is installed. Please remove
clapack:x64-windows, and try to install lapack-reference:x64-windows again.
Since lapack-reference and clapack have conflicts with each other, they cannot be installed at the same time. So Please remove clapack first, then try to rebuild this.
.\vcpkg remove clapack :x64-windows
Hi @ArtlyStyles
Please let me know if this is still a problem for you.
Thanks.
I'm closing this issue for now since there is no response.
Please feel free to reopen this if it is still a problem for you.
Hi @NancyLi1013! I have come across the same problem as @ArtlyStyles. I have tried to remove clapack and install lapack-reference. And it works well! I succeed in installing lapack-reference. However, I cannot install Clapack after that because of Conflict.
PS D:\Software\vcpkg> ./vcpkg install eigen3 suitesparse clapack openblas ceres --triplet x64-windows
Computing installation plan...
The following packages are already installed:
ceres[core]:x64-windows -> 2.1.0#2
eigen3[core]:x64-windows -> 3.4.0#2
openblas[core]:x64-windows -> 0.3.21
The following packages will be built and installed:
clapack[core]:x64-windows -> 3.2.1#20
* lapack[core]:x64-windows -> 2022-02-22
* metis[core]:x64-windows -> 2022-07-27
suitesparse[core]:x64-windows -> 5.8.0#1
Additional packages (*) will be modified to complete this operation.
ceres:x64-windows is already installed
eigen3:x64-windows is already installed
openblas:x64-windows is already installed
Detecting compiler hash for triplet x64-windows...
Restored 1 package(s) from C:\Users\blakelin\AppData\Local\vcpkg\archives in 241.3 ms. Use --debug to see more details.
Installing 1/4 clapack:x64-windows...
The following files are already installed in D:/Software/vcpkg/installed/x64-windows and are in conflict with clapack:x64-windows
Installed by lapack-reference:x64-windows
lib/lapack.lib
share/lapack/FindLAPACK.cmake
share/lapack/vcpkg-cmake-wrapper.cmake
Please ensure you're using the latest port files with `git pull` and `vcpkg update`.
Then check for known issues at:
https://github.com/microsoft/vcpkg/issues?q=is%3Aissue+is%3Aopen+in%3Atitle+clapack
You can submit a new issue at:
https://github.com/microsoft/vcpkg/issues/new?template=report-package-build-failure.md&title=[clapack]+Build+error
Include '[clapack] Build error' in your bug report title, the following version information in your bug description, and attach any relevant failure logs from above.
vcpkg-tool version: 2022-09-01-dfb82802c8cc562ce3b665a904a65b22314de724
vcpkg-scripts version: 927006b24 2022-09-02 (3 days ago)
Did anyone get a solution the above issue ?
The following files are already installed in D:/Software/vcpkg/installed/x64-windows and are in conflict with clapack:x64-windows
Installed by lapack-reference:x64-windows
lib/lapack.lib
share/lapack/FindLAPACK.cmake
share/lapack/vcpkg-cmake-wrapper.cmake
Please ensure you're using the latest port files with `git pull` and `vcpkg update`.
Then check for known issues at:
https://github.com/microsoft/vcpkg/issues?q=is%3Aissue+is%3Aopen+in%3Atitle+clapack
You can submit a new issue at:
https://github.com/microsoft/vcpkg/issues/new?template=report-package-build-failure.md&title=[clapack]+Build+error
Include '[clapack] Build error' in your bug report title, the following version information in your bug description, and attach any relevant failure logs from above.
vcpkg-tool version: 2022-09-01-dfb82802c8cc562ce3b665a904a65b22314de724
vcpkg-scripts version: 927006b24 2022-09-02 (3 days ago)
|
gharchive/issue
| 2020-10-13T16:25:33 |
2025-04-01T04:35:03.281092
|
{
"authors": [
"ArtlyStyles",
"NancyLi1013",
"jyotimadakevit",
"lzyplayer"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/14017",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
727309009
|
[boringssl:x64-linux] build failure
Host Environment
OS: Ubuntu 20.04 LTS @ WSL 2
Compiler: revision
To Reproduce
Steps to reproduce the behavior:
`mrbolt2005@DESKTOP-B8RVLOM:/mnt/d/src/vcpkg$ ./vcpkg install boringssl
Computing installation plan...
The following packages will be built and installed:
boringssl[core]:x64-linux
Detecting compiler hash for triplet x64-linux...
Starting package 1/1: boringssl:x64-linux
Building package boringssl[core]:x64-linux...
Could not locate cached archive: /home/mrbolt2005/.cache/vcpkg/archives/88/885a0b16b6a9d175ce831852a22492a499cf00d8.zip
CMake Error at ports/boringssl/portfile.cmake:4 (message):
Can't build BoringSSL if OpenSSL is installed. Please remove OpenSSL, and
try to install BoringSSL again if you need it. Build will continue since
BoringSSL is a drop-in replacement for OpenSSL
Call Stack (most recent call first):
scripts/ports.cmake:79 (include)
Error: Building package boringssl:x64-linux failed with: BUILD_FAILED
Please ensure you're using the latest portfiles with ./vcpkg update, then
submit an issue at https://github.com/Microsoft/vcpkg/issues including:
Package: boringssl:x64-linux
Vcpkg version: 2020.06.15-unknownhash
Additionally, attach any relevant sections from the log files above.
mrbolt2005@DESKTOP-B8RVLOM:/mnt/d/src/vcpkg$ ./vcpkg install openssl
Computing installation plan...
The following packages will be built and installed:
openssl[core]:x64-linux
openssl-unix[core]:x64-linux
Additional packages (*) will be modified to complete this operation.
Detecting compiler hash for triplet x64-linux...
Starting package 1/2: openssl-unix:x64-linux
Building package openssl-unix[core]:x64-linux...
Could not locate cached archive: /home/mrbolt2005/.cache/vcpkg/archives/c2/c260f83f22744035ec6d64768fb080f33ddc9150.zip
CMake Error at ports/openssl-unix/portfile.cmake:6 (message):
Can't build openssl if libressl/boringssl is installed. Please remove
libressl/boringssl, and try install openssl again if you need it.
Call Stack (most recent call first):
scripts/ports.cmake:79 (include)
Error: Building package openssl-unix:x64-linux failed with: BUILD_FAILED
Please ensure you're using the latest portfiles with ./vcpkg update, then
submit an issue at https://github.com/Microsoft/vcpkg/issues including:
Package: openssl-unix:x64-linux
Vcpkg version: 2020.06.15-unknownhash
Additionally, attach any relevant sections from the log files above.
mrbolt2005@DESKTOP-B8RVLOM:/mnt/d/src/vcpkg$
~`
Failure logs
-Cut and past the appropriate build messages from the console output.
-Please attach any additional failure logs mentioned in the console output.
Additional context
I had already installed BoringSSL, and then I wanted to install OpenSSL. It then asked me to uninstall BoringSSL first, which I tried, but didn't work, as vcpkg wasn't even seeing it anymore ((as)__ installed).
*Compiler: GCC
Vcpkg version: 2020.06.15-unknownhash
Can't build openssl if libressl/boringssl is installed. Please remove
libressl/boringssl, and try install openssl again if you need it.
I already tried uninstalling, but ALWAYS that I try to uninstall either boring or openssl, it gives a message saying that it’s not installed. What gives!?
Enviado do Emailhttps://go.microsoft.com/fwlink/?LinkId=550986 para Windows 10
De: Jack·Boos·Yumailto:notifications@github.com
Enviado:quinta-feira, 22 de outubro de 2020 23:26
Para: microsoft/vcpkgmailto:vcpkg@noreply.github.com
Cc:MrBolt2005mailto:joao2ojf@hotmail.com; Authormailto:author@noreply.github.com
Assunto: Re: [microsoft/vcpkg] [boringssl:x64-linux] build failure (#14164)
Can't build openssl if libressl/boringssl is installed. Please remove
libressl/boringssl, and try install openssl again if you need it.
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHubhttps://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fvcpkg%2Fissues%2F14164%23issuecomment-714867140&data=04|01||b3ee25d50c24418d11e708d876fafb5b|84df9e7fe9f640afb435aaaaaaaaaaaa|1|0|637390167616852898|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D|1000&sdata=WTTT9oVnv9kjMPBWko1WPCENEEAcWXIx4GiGnxSyOPw%3D&reserved=0, or unsubscribehttps://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAQLMPX7DA6AO7VXJ7PX5KTLSMDSTPANCNFSM4S3CL7YA&data=04|01||b3ee25d50c24418d11e708d876fafb5b|84df9e7fe9f640afb435aaaaaaaaaaaa|1|0|637390167616862893|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D|1000&sdata=l25W8xqtmcFqa5103fDfXMJWn7VLmvUUUUTrk%2B66qkQ%3D&reserved=0.
Can you search for ssl.h in VCPKG_ROOT/packages and give me the result?
Just delete VCPKG_ROOT\installed\x64-windows\include\openssl folder, solved my problem.
It was a Linux build, actually.
Enviado do Emailhttps://go.microsoft.com/fwlink/?LinkId=550986 para Windows 10
De: zhl8223mailto:notifications@github.com
Enviado:quarta-feira, 4 de novembro de 2020 04:33
Para: microsoft/vcpkgmailto:vcpkg@noreply.github.com
Cc:MrBolt2005mailto:joao2ojf@hotmail.com; Authormailto:author@noreply.github.com
Assunto: Re: [microsoft/vcpkg] [boringssl:x64-linux] build failure (#14164)
Just delete VCPKG_ROOT\installed\x64-windows\include\openssl folder, solved my problem.
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHubhttps://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fvcpkg%2Fissues%2F14164%23issuecomment-721563066&data=04|01||5f982e1629424f325c2708d88093f585|84df9e7fe9f640afb435aaaaaaaaaaaa|1|0|637400720247462191|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D|1000&sdata=EjHkdvTZ7DR7DZy1g%2FSnQsOIuDX5Dd%2Bqb9Sf482SvvE%3D&reserved=0, or unsubscribehttps://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FAQLMPXZOCVEOCIX3IZXU52TSOD7VPANCNFSM4S3CL7YA&data=04|01||5f982e1629424f325c2708d88093f585|84df9e7fe9f640afb435aaaaaaaaaaaa|1|0|637400720247462191|Unknown|TWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D|1000&sdata=%2BeEdVwR0h5AtjJ%2BkSgeg8KIMc3zOtdeY768K6uRSlMI%3D&reserved=0.
Just delete VCPKG_ROOT\installed\x64-windows\include\openssl folder, solved my problem.
but
vcpkg/installed/x64-linux and are in conflict with openssl:x64-linux
Installed by openssl-unix:x64-linux
@westfly can you see my comments and reply?
OK, I'm gonna try that. Plz wait. ;-)
Enviado do tablet Samsung.
@westfly can you see my comments and reply?
find . -name ssl.h
./buildtrees/openssl/src/1.1.1h-09fb822c56.clean/include/openssl/ssl.h
./buildtrees/openssl/x64-linux-dbg/1.1.1h-09fb822c56.clean/include/openssl/ssl.h
./buildtrees/openssl/x64-linux-rel/1.1.1h-09fb822c56.clean/include/openssl/ssl.h
./packages/openssl_x64-linux/include/openssl/ssl.h
should I delete package as below?
packages/openssl_x64-linux/
@westfly Does ./installed/x64-linux/include/openssl/ssl.h exists on your machine?
I can't find this on your provided result.
@westfly Does ./installed/x64-linux/include/openssl/ssl.h exists on your machine?
I can't find this on your provided result.
And can you update vcpkg and try again?
Thanks.
Maybe related: #14440
this error happen when rebuilding folly for upgrading folly as below
vcpkg install folly
Computing installation plan...
The following packages will be built and installed:
folly[core,zlib]:x64-linux
* openssl[core]:x64-linux
Additional packages (*) will be modified to complete this operation.
Detecting compiler hash for triplet x64-linux...
Starting package 1/2: openssl:x64-linux
Building package openssl[core]:x64-linux...
Using cached binary package: /home/aresyang/.cache/vcpkg/archives/75/75cfc5c6640d04194f4e572531c72dbc88021e45.zip
Building package openssl[core]:x64-linux... done
Installing package openssl[core]:x64-linux...
The following files are already installed in /home/aresyang/vcpkg/installed/x64-linux and are in conflict with openssl:x64-linux
Installed by openssl-unix:x64-linux
....
include/openssl/des.h
Please ensure you're using the latest portfiles with `./vcpkg update`, then
submit an issue at https://github.com/Microsoft/vcpkg/issues including:
Package: openssl:x64-linux
Vcpkg version: 2020.06.15-unknownhash
so I remove openssl-unix and rebuild folly
vcpkg remove openssl-unix
The following packages will be removed:
openssl-unix:x64-linux
Removing package openssl-unix:x64-linux...
Warning: $vcpkg/installed/x64-linux/include/openssl/: file not found
just solve it.
I think the reason as list
old folly depends on openssl-unix:x64-linux
new folly depends on openssl:x64-linux
openssl:x64-linux install failed when detect openssl-unix:x64-linux installed
remove include\openssl folder should be removed by using command vcpkg remove openssl-unix
rebuild package using command vcpkg install folly will be ok
thx for you reply
So I think #14457 should fixed this issue.
|
gharchive/issue
| 2020-10-22T11:39:02 |
2025-04-01T04:35:03.307705
|
{
"authors": [
"JackBoosY",
"MrBolt2005",
"westfly",
"zhl8223"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/14164",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
925708182
|
What type of errors are the following two errors? Do I need to have visual studio installed or any other installation before installing this vcpkg???
What type of errors are the following two errors? Do I need to have visual studio installed or any other installation before installing this vcpkg???
ANY IDEAS in regards to these errors? I will continue to investigate on your git hub website section on vcpkg.
@charleswri631 ,I did not reproduce your issue on powershell, but we must install visual studio in the preparation phase，You can refer to our official documentation to understand what needs to be prepared before using vcpkg
It looks like you are using Visual Studio 2013, but vcpkg requires at least Visual Studio 2015.
This error is caused by a mismatch between MT/MD and VCPKG CRT linkage.
Closing this issue for now. Please feel free to reopen this issue if it is still a problem for you.
|
gharchive/issue
| 2021-06-21T00:02:01 |
2025-04-01T04:35:03.311318
|
{
"authors": [
"JackBoosY",
"JonLiu1993",
"NancyLi1013",
"charleswri631"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/18558",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1400865439
|
[pdal] Build error
Package: pdal[core,draco,e57,hdf,i3s,pgpointcloud,supported-plugins]:x64-linux -> 2.4.3
Host Environment
Host: x64-linux
Compiler: GNU 8.5.0
vcpkg-tool version: 2022-09-20-522aa94e9d261c7d7b2f079bf2591ca62df5c714
vcpkg-scripts version: e2667a41f 2022-10-06 (14 hours ago)
To Reproduce
vcpkg install pdal:x64-linux
Failure logs
-- Note: pdal only supports dynamic library linkage. Building dynamic library.
-- Using cached PDAL-PDAL-2.4.3.tar.gz.
-- Cleaning sources at /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/src/2.4.3-960ddf7f39.clean. Use --editable to skip cleaning for the packages you specify.
-- Extracting source /home/ec2-user/test_vcpkg/vcpkg/downloads/PDAL-PDAL-2.4.3.tar.gz
-- Applying patch fix-dependency.patch
-- Applying patch fix-unix-compiler-options.patch
-- Applying patch fix-find-library-suffix.patch
-- Applying patch no-pkgconfig-requires.patch
-- Applying patch no-rpath.patch
-- Using source at /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/src/2.4.3-960ddf7f39.clean
-- Installing: /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/src/2.4.3-960ddf7f39.clean/vendor/nanoflann/nanoflann.hpp
-- Installing: /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/src/2.4.3-960ddf7f39.clean/vendor/nlohmann/nlohmann/json.hpp
-- Installing: /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/src/2.4.3-960ddf7f39.clean/pdal/json_fwd.hpp
-- Configuring x64-linux
-- Building x64-linux-dbg
CMake Error at scripts/cmake/vcpkg_execute_build_process.cmake:129 (message):
Command failed: /home/ec2-user/test_vcpkg/vcpkg/downloads/tools/cmake-3.24.0-linux/cmake-3.24.0-linux-x86_64/bin/cmake --build . --config Debug --target install -- -v -j9
Working Directory: /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/x64-linux-dbg
See logs for more information:
/home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/install-x64-linux-dbg-out.log
Call Stack (most recent call first):
installed/x64-linux/share/vcpkg-cmake/vcpkg_cmake_build.cmake:74 (vcpkg_execute_build_process)
installed/x64-linux/share/vcpkg-cmake/vcpkg_cmake_install.cmake:16 (vcpkg_cmake_build)
ports/pdal/portfile.cmake:68 (vcpkg_cmake_install)
scripts/ports.cmake:147 (include)
Please provide the error log file: /home/ec2-user/test_vcpkg/vcpkg/buildtrees/pdal/install-x64-linux-dbg-out.log.
@LilyWangLL Thank you!
install-x64-linux-dbg-out.log
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::path::parent_path() const'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::directory_iterator::operator*() const'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::remove(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `typeinfo for std::filesystem::__cxx11::filesystem_error'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::path::has_root_directory() const'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::file_size(std::filesystem::__cxx11::path const&, std::error_code&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::current_path[abi:cxx11]()'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::status(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::path::_M_split_cmpts()'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::create_directories(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::remove_all(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::directory_iterator::operator++()'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::rename(std::filesystem::__cxx11::path const&, std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::create_directory(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::directory_iterator::directory_iterator(std::filesystem::__cxx11::path const&, std::filesystem::directory_options, std::error_code*)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::absolute(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::weakly_canonical(std::filesystem::__cxx11::path const&)'
lib/libpdal_util.so.14.3.0: undefined reference to `std::filesystem::__cxx11::path::has_filename() const'
https://github.com/PDAL/PDAL/issues/3826
@hotasim Could you test this solution https://github.com/PDAL/PDAL/issues/3826#issuecomment-1238121213 is useful for you?
|
gharchive/issue
| 2022-10-07T09:11:32 |
2025-04-01T04:35:03.317258
|
{
"authors": [
"LilyWangLL",
"dg0yt",
"hotasim"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/27131",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1525877391
|
[aws-sdk-cpp] Build error
Package: aws-sdk-cpp[core]:x64-osx -> 1.9.220#2
Host Environment
Host: macOS
Compiler: AppleClang 14.0.0.14000029
vcpkg-tool version: 2999-12-31-unknownhash
vcpkg-scripts version: f14984af3 2023-01-09 (6 hours ago)
To Reproduce
vcpkg install
Failure logs
-- Using cached aws-aws-sdk-cpp-a72b841c91bd421fbb6deb516400b51c06bc596c.tar.gz.
-- Cleaning sources at /Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean. Use --editable to skip cleaning for the packages you specify.
-- Extracting source /Users/leanderSchulten/git_projekte/vcpkg/downloads/aws-aws-sdk-cpp-a72b841c91bd421fbb6deb516400b51c06bc596c.tar.gz
-- Applying patch patch-relocatable-rpath.patch
-- Applying patch fix-aws-root.patch
-- Applying patch fix-openssl3.patch
-- Applying patch lock-curl-http-and-tls-settings.patch
-- Using source at /Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean
-- Found external ninja('1.11.1').
-- Configuring x64-osx-dbg
CMake Error at scripts/cmake/vcpkg_execute_required_process.cmake:96 (message):
Command failed: /Users/leanderSchulten/git_projekte/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/bin/cmake /Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean -G Ninja -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=/Users/leanderSchulten/git_projekte/vcpkg/packages/aws-sdk-cpp_x64-osx/debug -DENABLE_UNITY_BUILD=ON -DENABLE_TESTING=OFF -DFORCE_SHARED_CRT=1 -DBUILD_ONLY=core -DBUILD_DEPS=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH=@loader_path -DCMAKE_MODULE_PATH=/Users/leanderSchulten/git_projekte/vcpkg/vcpkg_installed/x64-osx/share/aws-c-common -DCMAKE_MAKE_PROGRAM=/opt/homebrew/bin/ninja -DCMAKE_SYSTEM_NAME=Darwin -DBUILD_SHARED_LIBS=OFF -DVCPKG_CHAINLOAD_TOOLCHAIN_FILE=/Users/leanderSchulten/git_projekte/vcpkg/scripts/toolchains/osx.cmake -DVCPKG_TARGET_TRIPLET=x64-osx -DVCPKG_SET_CHARSET_FLAG=ON -DVCPKG_PLATFORM_TOOLSET=external -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_SYSTEM_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_SYSTEM_RUNTIME_LIBS_SKIP=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DVCPKG_APPLOCAL_DEPS=OFF -DCMAKE_TOOLCHAIN_FILE=/Users/leanderSchulten/git_projekte/vcpkg/scripts/buildsystems/vcpkg.cmake -DCMAKE_ERROR_ON_ABSOLUTE_INSTALL_DESTINATION=ON -DVCPKG_CXX_FLAGS= -DVCPKG_CXX_FLAGS_RELEASE= -DVCPKG_CXX_FLAGS_DEBUG= -DVCPKG_C_FLAGS= -DVCPKG_C_FLAGS_RELEASE= -DVCPKG_C_FLAGS_DEBUG= -DVCPKG_CRT_LINKAGE=dynamic -DVCPKG_LINKER_FLAGS= -DVCPKG_LINKER_FLAGS_RELEASE= -DVCPKG_LINKER_FLAGS_DEBUG= -DVCPKG_TARGET_ARCHITECTURE=x64 -DCMAKE_INSTALL_LIBDIR:STRING=lib -DCMAKE_INSTALL_BINDIR:STRING=bin -D_VCPKG_ROOT_DIR=/Users/leanderSchulten/git_projekte/vcpkg -D_VCPKG_INSTALLED_DIR=/Users/leanderSchulten/git_projekte/vcpkg/vcpkg_installed -DVCPKG_MANIFEST_INSTALL=OFF -DFETCHCONTENT_FULLY_DISCONNECTED=ON -DCMAKE_OSX_ARCHITECTURES=x86_64
Working Directory: /Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/x64-osx-dbg
Error code: 1
See logs for more information:
/Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/config-x64-osx-dbg-CMakeCache.txt.log
/Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/config-x64-osx-dbg-out.log
/Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/config-x64-osx-dbg-err.log
Call Stack (most recent call first):
vcpkg_installed/x64-osx/share/vcpkg-cmake/vcpkg_cmake_configure.cmake:260 (vcpkg_execute_required_process)
ports/aws-sdk-cpp/portfile.cmake:35 (vcpkg_cmake_configure)
scripts/ports.cmake:147 (include)
/Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/config-x64-osx-dbg-CMakeCache.txt.log
# This is the CMakeCache file.
# For build in directory: /Users/leanderSchulten/git_projekte/vcpkg/buildtrees/aws-sdk-cpp/x64-osx-dbg
# It was generated by CMake: /Users/leanderSchulten/git_projekte/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/bin/cmake
# You can edit this file to change values found and used by cmake.
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/Users/leanderSchulten/git_projekte/vcpkg/vcpkg_installed/x64-osx/share/aws-c-http/aws-c-http-config.cmake:3 (find_dependency)
/Users/leanderSchulten/git_projekte/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/leanderSchulten/git_projekte/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/CMakeFindDependencyMacro.cmake:47 (find_package)
/Users/leanderSchulten/git_projekte/vcpkg/vcpkg_installed/x64-osx/share/aws-crt-cpp/aws-crt-cpp-config.cmake:3 (find_dependency)
/Users/leanderSchulten/git_projekte/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/leanderSchulten/git_projekte/vcpkg/vcpkg_installed/x64-osx/share/aws-c-common/AwsFindPackage.cmake:19 (find_package)
aws-cpp-sdk-core/CMakeLists.txt:505 (aws_use_package)
Additional context
vcpkg.json
{
"$schema": "https://raw.githubusercontent.com/microsoft/vcpkg-tool/main/docs/vcpkg.schema.json",
"name": "lichtsteuerung",
"version-string": "2.0 $.0",
"dependencies": [
{
"name": "aws-sdk-cpp",
"default-features": false,
"features": []
}
]
}
I am getting a similar error. The main difference for me is that I'm on an M2 chip.
-- Using cached aws-aws-sdk-cpp-a72b841c91bd421fbb6deb516400b51c06bc596c.tar.gz.
-- Cleaning sources at /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean. Use --editable to skip cleaning for the packages you specify.
-- Extracting source /Users/a*****p/projects/vcpkg/downloads/aws-aws-sdk-cpp-a72b841c91bd421fbb6deb516400b51c06bc596c.tar.gz
-- Applying patch patch-relocatable-rpath.patch
-- Applying patch fix-aws-root.patch
-- Applying patch fix-openssl3.patch
-- Applying patch lock-curl-http-and-tls-settings.patch
-- Using source at /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean
-- Configuring arm64-osx-dbg
CMake Error at scripts/cmake/vcpkg_execute_required_process.cmake:112 (message):
Command failed: /Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/bin/cmake /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean -G Ninja -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=/Users/a*****p/projects/vcpkg/packages/aws-sdk-cpp_arm64-osx/debug -DENABLE_UNITY_BUILD=ON -DENABLE_TESTING=OFF -DFORCE_SHARED_CRT=1 -DBUILD_ONLY=core dynamodb kinesis s3 -DBUILD_DEPS=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH=@loader_path -DCMAKE_MODULE_PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-common -DCMAKE_MAKE_PROGRAM=/Users/a*****p/projects/vcpkg/downloads/tools/ninja/1.10.2-osx/ninja -DCMAKE_SYSTEM_NAME=Darwin -DBUILD_SHARED_LIBS=OFF -DVCPKG_CHAINLOAD_TOOLCHAIN_FILE=/Users/a*****p/projects/vcpkg/scripts/toolchains/osx.cmake -DVCPKG_TARGET_TRIPLET=arm64-osx -DVCPKG_SET_CHARSET_FLAG=ON -DVCPKG_PLATFORM_TOOLSET=external -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_SYSTEM_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_SYSTEM_RUNTIME_LIBS_SKIP=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DVCPKG_APPLOCAL_DEPS=OFF -DCMAKE_TOOLCHAIN_FILE=/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake -DCMAKE_ERROR_ON_ABSOLUTE_INSTALL_DESTINATION=ON -DVCPKG_CXX_FLAGS= -DVCPKG_CXX_FLAGS_RELEASE= -DVCPKG_CXX_FLAGS_DEBUG= -DVCPKG_C_FLAGS= -DVCPKG_C_FLAGS_RELEASE= -DVCPKG_C_FLAGS_DEBUG= -DVCPKG_CRT_LINKAGE=dynamic -DVCPKG_LINKER_FLAGS= -DVCPKG_LINKER_FLAGS_RELEASE= -DVCPKG_LINKER_FLAGS_DEBUG= -DVCPKG_TARGET_ARCHITECTURE=arm64 -DCMAKE_INSTALL_LIBDIR:STRING=lib -DCMAKE_INSTALL_BINDIR:STRING=bin -D_VCPKG_ROOT_DIR=/Users/a*****p/projects/vcpkg -D_VCPKG_INSTALLED_DIR=/Users/a*****p/projects/vcpkg/installed -DVCPKG_MANIFEST_INSTALL=OFF -DFETCHCONTENT_FULLY_DISCONNECTED=ON -DCMAKE_OSX_ARCHITECTURES=arm64
Working Directory: /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg
Error code: 1
See logs for more information:
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-CMakeCache.txt.log
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-out.log
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-err.log
Call Stack (most recent call first):
installed/arm64-osx/share/vcpkg-cmake/vcpkg_cmake_configure.cmake:262 (vcpkg_execute_required_process)
ports/aws-sdk-cpp/portfile.cmake:35 (vcpkg_cmake_configure)
scripts/ports.cmake:147 (include)
This seemed similar enough I didn't want to create a duplicate issue. Please let me know if I should open another one.
Having the same problem:
Applying patch fix-config.patch
-- Applying patch patch-relocatable-rpath.patch
-- Applying patch fix-aws-root.patch
-- Using source at /Users/distiller/project/vcpkg/buildtrees/aws-sdk-cpp/src/7237798297-e0c81eb359.clean
-- Configuring arm64-osx-116-dbg
CMake Error at scripts/cmake/vcpkg_execute_required_process.cmake:96 (message):
Command failed: /usr/local/Cellar/cmake/3.25.1/bin/cmake /Users/distiller/project/vcpkg/buildtrees/aws-sdk-cpp/src/7237798297-e0c81eb359.clean -G Ninja -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=/Users/distiller/project/vcpkg/packages/aws-sdk-cpp_arm64-osx-116/debug -DENABLE_UNITY_BUILD=ON -DENABLE_TESTING=OFF -DFORCE_SHARED_CRT=1 -DBUILD_ONLY=core dynamodb kinesis s3 -DBUILD_DEPS=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH=@loader_path -DCMAKE_MODULE_PATH=/Users/distiller/project/vcpkg_installed/arm64-osx-116/share/aws-c-common -DCMAKE_MAKE_PROGRAM=/Users/distiller/project/vcpkg/downloads/tools/ninja/1.10.2-osx/ninja -DCMAKE_SYSTEM_NAME=Darwin -DBUILD_SHARED_LIBS=OFF -DVCPKG_CHAINLOAD_TOOLCHAIN_FILE=/Users/distiller/project/vcpkg/scripts/toolchains/osx.cmake -DVCPKG_TARGET_TRIPLET=arm64-osx-116 -DVCPKG_SET_CHARSET_FLAG=ON -DVCPKG_PLATFORM_TOOLSET=external -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_SYSTEM_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_SYSTEM_RUNTIME_LIBS_SKIP=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DVCPKG_APPLOCAL_DEPS=OFF -DCMAKE_TOOLCHAIN_FILE=/Users/distiller/project/vcpkg/scripts/buildsystems/vcpkg.cmake -DCMAKE_ERROR_ON_ABSOLUTE_INSTALL_DESTINATION=ON -DVCPKG_CXX_FLAGS= -DVCPKG_CXX_FLAGS_RELEASE= -DVCPKG_CXX_FLAGS_DEBUG= -DVCPKG_C_FLAGS= -DVCPKG_C_FLAGS_RELEASE= -DVCPKG_C_FLAGS_DEBUG= -DVCPKG_CRT_LINKAGE=dynamic -DVCPKG_LINKER_FLAGS= -DVCPKG_LINKER_FLAGS_RELEASE= -DVCPKG_LINKER_FLAGS_DEBUG= -DVCPKG_TARGET_ARCHITECTURE=arm64 -DCMAKE_INSTALL_LIBDIR:STRING=lib -DCMAKE_INSTALL_BINDIR:STRING=bin -D_VCPKG_ROOT_DIR=/Users/distiller/project/vcpkg -D_VCPKG_INSTALLED_DIR=/Users/distiller/project/vcpkg_installed -DVCPKG_MANIFEST_INSTALL=OFF -DCMAKE_OSX_DEPLOYMENT_TARGET=11.6 -DCMAKE_OSX_ARCHITECTURES=arm64
Working Directory: /Users/distiller/project/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-116-dbg
Error code: 1
See logs for more information:
/Users/distiller/project/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-116-dbg-CMakeCache.txt.log
/Users/distiller/project/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-116-dbg-out.log
/Users/distiller/project/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-116-dbg-err.log
Call Stack (most recent call first):
/Users/distiller/project/vcpkg_installed/x64-osx/share/vcpkg-cmake/vcpkg_cmake_configure.cmake:251 (vcpkg_execute_required_process)
buildtrees/versioning_/versions/aws-sdk-cpp/e1d4dde6c824e40b0a0dce27f48539dfa4f64eed/portfile.cmake:34 (vcpkg_cmake_configure)
scripts/ports.cmake:147 (include)
[DEBUG] 1206: cmd_execute_and_stream_data() returned 1 after 39219922 us
error: building aws-sdk-cpp:arm64-osx-116 failed with: BUILD_FAILED
[DEBUG] 1207: popen( /usr/local/bin/git --git-dir=/Users/distiller/project/vcpkg/.git --work-tree=/Users/distiller/project/vcpkg/.git -c core.autocrlf=false show "--pretty=format:%h %cd (%cr)" -s --date=short HEAD 2>&1)
[DEBUG] 1207: cmd_execute_and_stream_data() returned 0 after 47995 us
[DEBUG] 1208: popen( /usr/local/bin/git --git-dir=/Users/distiller/project/vcpkg/.git --work-tree=/Users/distiller/project/vcpkg/.git -c core.autocrlf=false show "--pretty=format:%h %cd (%cr)" -s --date=short HEAD 2>&1)
[DEBUG] 1208: cmd_execute_and_stream_data() returned 0 after 18303 us
error: Please ensure you're using the latest port files with `git pull` and `vcpkg update
My apologizes, @autoantwort. Here's the full issue_body file.
Package: aws-sdk-cpp[core,dynamodb,kinesis,s3]:arm64-osx -> 1.9.220#2
Host Environment
Host: arm64-osx
Compiler: AppleClang 14.0.0.14000029
vcpkg-tool version: 2022-12-14-7ae0d8527fb488fde10a89c2813802dc9b03b6f9
vcpkg-scripts version: 5bb5f3923 2023-01-09 (2 days ago)
To Reproduce
vcpkg install aws-sdk-cpp
Failure logs
-- Using cached aws-aws-sdk-cpp-a72b841c91bd421fbb6deb516400b51c06bc596c.tar.gz.
-- Cleaning sources at /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean. Use --editable to skip cleaning for the packages you specify.
-- Extracting source /Users/a*****p/projects/vcpkg/downloads/aws-aws-sdk-cpp-a72b841c91bd421fbb6deb516400b51c06bc596c.tar.gz
-- Applying patch patch-relocatable-rpath.patch
-- Applying patch fix-aws-root.patch
-- Applying patch fix-openssl3.patch
-- Applying patch lock-curl-http-and-tls-settings.patch
-- Using source at /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean
-- Configuring arm64-osx-dbg
CMake Error at scripts/cmake/vcpkg_execute_required_process.cmake:112 (message):
Command failed: /Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/bin/cmake /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean -G Ninja -DCMAKE_BUILD_TYPE=Debug -DCMAKE_INSTALL_PREFIX=/Users/a*****p/projects/vcpkg/packages/aws-sdk-cpp_arm64-osx/debug -DENABLE_UNITY_BUILD=ON -DENABLE_TESTING=OFF -DFORCE_SHARED_CRT=1 -DBUILD_ONLY=core dynamodb kinesis s3 -DBUILD_DEPS=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH=@loader_path -DCMAKE_MODULE_PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-common -DCMAKE_MAKE_PROGRAM=/Users/a*****p/projects/vcpkg/downloads/tools/ninja/1.10.2-osx/ninja -DCMAKE_SYSTEM_NAME=Darwin -DBUILD_SHARED_LIBS=OFF -DVCPKG_CHAINLOAD_TOOLCHAIN_FILE=/Users/a*****p/projects/vcpkg/scripts/toolchains/osx.cmake -DVCPKG_TARGET_TRIPLET=arm64-osx -DVCPKG_SET_CHARSET_FLAG=ON -DVCPKG_PLATFORM_TOOLSET=external -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_SYSTEM_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_SYSTEM_RUNTIME_LIBS_SKIP=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DVCPKG_APPLOCAL_DEPS=OFF -DCMAKE_TOOLCHAIN_FILE=/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake -DCMAKE_ERROR_ON_ABSOLUTE_INSTALL_DESTINATION=ON -DVCPKG_CXX_FLAGS= -DVCPKG_CXX_FLAGS_RELEASE= -DVCPKG_CXX_FLAGS_DEBUG= -DVCPKG_C_FLAGS= -DVCPKG_C_FLAGS_RELEASE= -DVCPKG_C_FLAGS_DEBUG= -DVCPKG_CRT_LINKAGE=dynamic -DVCPKG_LINKER_FLAGS= -DVCPKG_LINKER_FLAGS_RELEASE= -DVCPKG_LINKER_FLAGS_DEBUG= -DVCPKG_TARGET_ARCHITECTURE=arm64 -DCMAKE_INSTALL_LIBDIR:STRING=lib -DCMAKE_INSTALL_BINDIR:STRING=bin -D_VCPKG_ROOT_DIR=/Users/a*****p/projects/vcpkg -D_VCPKG_INSTALLED_DIR=/Users/a*****p/projects/vcpkg/installed -DVCPKG_MANIFEST_INSTALL=OFF -DFETCHCONTENT_FULLY_DISCONNECTED=ON -DCMAKE_OSX_ARCHITECTURES=arm64
Working Directory: /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg
Error code: 1
See logs for more information:
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-CMakeCache.txt.log
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-out.log
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-err.log
Call Stack (most recent call first):
installed/arm64-osx/share/vcpkg-cmake/vcpkg_cmake_configure.cmake:262 (vcpkg_execute_required_process)
ports/aws-sdk-cpp/portfile.cmake:35 (vcpkg_cmake_configure)
scripts/ports.cmake:147 (include)
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-CMakeCache.txt.log
# This is the CMakeCache file.
# For build in directory: /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg
# It was generated by CMake: /Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/bin/cmake
# You can edit this file to change values found and used by cmake.
# If you do not want to change any of the values, simply exit the editor.
# If you do want to change a value, simply edit, save, and exit the editor.
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# KEY:TYPE=VALUE
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# TYPE is a hint to GUIs for the type of VALUE, DO NOT EDIT TYPE!.
# VALUE is the current value for the KEY.
########################
# EXTERNAL cache entries
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//When building for Android, should curl be built as well
ANDROID_BUILD_CURL:BOOL=ON
//When building for Android, should Openssl be built as well
ANDROID_BUILD_OPENSSL:BOOL=ON
//When building for Android, should Zlib be built as well
ANDROID_BUILD_ZLIB:BOOL=ON
//Flag to enable/disable automatically run unit tests after building
AUTORUN_UNIT_TESTS:BOOL=ON
//Build third-party dependencies
BUILD_DEPS:BOOL=OFF
//A semi-colon delimited list of the projects to build
BUILD_ONLY:STRING=core;dynamodb;kinesis;s3
//If enabled, all aws sdk libraries will be build as shared objects;
// otherwise all Aws libraries will be built as static objects
BUILD_SHARED_LIBS:BOOL=OFF
//Bypass the machine's default proxy settings when using IXmlHttpRequest2
BYPASS_DEFAULT_PROXY:BOOL=ON
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CMAKE_ADDR2LINE:FILEPATH=CMAKE_ADDR2LINE-NOTFOUND
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CMAKE_CXX_FLAGS_MINSIZEREL:STRING=-Os -DNDEBUG
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CMAKE_CXX_FLAGS_RELEASE:STRING=-O3 -DNDEBUG
//Flags used by the CXX compiler during RELWITHDEBINFO builds.
CMAKE_CXX_FLAGS_RELWITHDEBINFO:STRING=-O2 -g -DNDEBUG
//C compiler
CMAKE_C_COMPILER:FILEPATH=/Library/Developer/CommandLineTools/usr/bin/cc
//Flags used by the C compiler during all build types.
CMAKE_C_FLAGS:STRING=-fPIC
//Flags used by the C compiler during DEBUG builds.
CMAKE_C_FLAGS_DEBUG:STRING=-g
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CMAKE_C_FLAGS_MINSIZEREL:STRING=-Os -DNDEBUG
//Flags used by the C compiler during RELEASE builds.
CMAKE_C_FLAGS_RELEASE:STRING=-O3 -DNDEBUG
//Flags used by the C compiler during RELWITHDEBINFO builds.
CMAKE_C_FLAGS_RELWITHDEBINFO:STRING=-O2 -g -DNDEBUG
//Path to a program.
...
Skipped 322 lines
...
VCPKG_C_FLAGS:UNINITIALIZED=
//No help, variable specified on the command line.
VCPKG_C_FLAGS_DEBUG:UNINITIALIZED=
//No help, variable specified on the command line.
VCPKG_C_FLAGS_RELEASE:UNINITIALIZED=
//The directory which contains the installed libraries for each
// triplet
VCPKG_INSTALLED_DIR:PATH=/Users/a*****p/projects/vcpkg/installed
//No help, variable specified on the command line.
VCPKG_LINKER_FLAGS:UNINITIALIZED=
//No help, variable specified on the command line.
VCPKG_LINKER_FLAGS_DEBUG:UNINITIALIZED=
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VCPKG_LINKER_FLAGS_RELEASE:UNINITIALIZED=
//The path to the vcpkg manifest directory.
VCPKG_MANIFEST_DIR:PATH=
//Use manifest mode, as opposed to classic mode.
VCPKG_MANIFEST_MODE:BOOL=OFF
//No help, variable specified on the command line.
VCPKG_PLATFORM_TOOLSET:UNINITIALIZED=external
//Appends the vcpkg paths to CMAKE_PREFIX_PATH, CMAKE_LIBRARY_PATH
// and CMAKE_FIND_ROOT_PATH so that vcpkg libraries/packages are
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VCPKG_SETUP_CMAKE_PROGRAM_PATH:BOOL=ON
//No help, variable specified on the command line.
VCPKG_SET_CHARSET_FLAG:UNINITIALIZED=ON
//No help, variable specified on the command line.
VCPKG_TARGET_ARCHITECTURE:UNINITIALIZED=arm64
//Vcpkg target triplet (ex. x86-windows)
VCPKG_TARGET_TRIPLET:STRING=arm64-osx
//Trace calls to find_package()
VCPKG_TRACE_FIND_PACKAGE:BOOL=OFF
//Enables messages from the VCPKG toolchain for debugging purposes.
VCPKG_VERBOSE:BOOL=OFF
//(experimental) Automatically copy dependencies into the install
// target directory for executables. Requires CMake 3.14.
X_VCPKG_APPLOCAL_DEPS_INSTALL:BOOL=OFF
//(experimental) Add USES_TERMINAL to VCPKG_APPLOCAL_DEPS to force
// serialization.
X_VCPKG_APPLOCAL_DEPS_SERIALIZED:BOOL=OFF
//Path to a file.
ZLIB_INCLUDE_DIR:PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/include
//Path to a library.
ZLIB_LIBRARY_DEBUG:FILEPATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/debug/lib/libz.a
//Path to a library.
ZLIB_LIBRARY_RELEASE:FILEPATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/debug/lib/libz.a
//The directory which contains the installed libraries for each
// triplet
_VCPKG_INSTALLED_DIR:PATH=/Users/a*****p/projects/vcpkg/installed
//No help, variable specified on the command line.
_VCPKG_ROOT_DIR:UNINITIALIZED=/Users/a*****p/projects/vcpkg
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aws-c-common_DIR:PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-common
//The directory containing a CMake configuration file for aws-c-http.
aws-c-http_DIR:PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-http
//The directory containing a CMake configuration file for aws-c-io.
aws-c-io_DIR:PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-io
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aws-cpp-sdk-core_BINARY_DIR:STATIC=/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg/aws-cpp-sdk-core
//Value Computed by CMake
aws-cpp-sdk-core_IS_TOP_LEVEL:STATIC=OFF
//Dependencies for the target
aws-cpp-sdk-core_LIB_DEPENDS:STATIC=general;pthread;optimized;/Users/a*****p/projects/vcpkg/installed/arm64-osx/lib/libcurl.a;debug;/Users/a*****p/projects/vcpkg/installed/arm64-osx/debug/lib/libcurl-d.a;general;-framework SystemConfiguration;general;-framework Security;general;-framework CoreFoundation;
//Value Computed by CMake
aws-cpp-sdk-core_SOURCE_DIR:STATIC=/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/src/1c06bc596c-9e93ce4e45.clean/aws-cpp-sdk-core
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aws-crt-cpp_DIR:PATH=/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-crt-cpp
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HAS_PATHCONF:INTERNAL=1
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HAS_UMASK:INTERNAL=1
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Z_VCPKG_CHECK_MANIFEST_MODE:INTERNAL=OFF
//Vcpkg root directory
Z_VCPKG_ROOT_DIR:INTERNAL=/Users/a*****p/projects/vcpkg
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-out.log
-- TARGET_ARCH not specified; inferring host OS to be platform compilation target
-- Building AWS libraries as static objects
-- Building project version: 1.9.220
-- The CXX compiler identification is AppleClang 14.0.0.14000029
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found ZLIB: /Users/a*****p/projects/vcpkg/installed/arm64-osx/debug/lib/libz.a (found version "1.2.13")
-- Zlib library: /Users/a*****p/projects/vcpkg/installed/arm64-osx/debug/lib/libz.a
-- Encryption: CommonCrypto
-- Http client: Curl
-- Found CURL: /Users/a*****p/projects/vcpkg/installed/arm64-osx/share/curl/CURLConfig.cmake (found version "7.86.0-DEV")
-- Curl include directory: /Users/a*****p/projects/vcpkg/installed/arm64-osx/include
-- Curl library: optimized;/Users/a*****p/projects/vcpkg/installed/arm64-osx/lib/libcurl.a;debug;/Users/a*****p/projects/vcpkg/installed/arm64-osx/debug/lib/libcurl-d.a;-framework SystemConfiguration;-framework Security;-framework CoreFoundation;$<LINK_ONLY:ZLIB::ZLIB>
-- Add s3-crt:s3 to C2J_SPECIAL_NAME_LIST
-- Considering core
-- Considering dynamodb
-- Considering kinesis
-- Considering s3
-- Looking for pathconf
-- Looking for pathconf - found
-- Looking for umask
-- Looking for umask - found
-- The C compiler identification is AppleClang 14.0.0.14000029
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Updating version info to 1.9.220
-- Custom memory management disabled
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Configuring incomplete, errors occurred!
See also "/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg/CMakeFiles/CMakeOutput.log".
See also "/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg/CMakeFiles/CMakeError.log".
/Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/config-arm64-osx-dbg-err.log
CMake Deprecation Warning at CMakeLists.txt:13 (cmake_policy):
The OLD behavior for policy CMP0077 will be removed from a future version
of CMake.
The cmake-policies(7) manual explains that the OLD behaviors of all
policies are deprecated and that a policy should be set to OLD only under
specific short-term circumstances. Projects should be ported to the NEW
behavior and not rely on setting a policy to OLD.
CMake Error at /Users/a*****p/projects/vcpkg/buildtrees/aws-sdk-cpp/arm64-osx-dbg/CMakeFiles/CMakeScratch/TryCompile-KFli7T/CMakeLists.txt:22 (target_link_libraries):
Target "cmTC_7a0c2" links to:
ZLIB::ZLIB
but the target was not found. Possible reasons include:
* There is a typo in the target name.
* A find_package call is missing for an IMPORTED target.
* An ALIAS target is missing.
CMake Error at /Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/Internal/CheckSourceCompiles.cmake:94 (try_compile):
Failed to generate test project build system.
Call Stack (most recent call first):
/Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/CheckCSourceCompiles.cmake:76 (cmake_check_source_compiles)
/Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/FindThreads.cmake:97 (CHECK_C_SOURCE_COMPILES)
/Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/FindThreads.cmake:165 (_threads_check_libc)
/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-common/aws-c-common-config.cmake:4 (find_package)
/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/CMakeFindDependencyMacro.cmake:47 (find_package)
/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-io/aws-c-io-config.cmake:7 (find_dependency)
/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/CMakeFindDependencyMacro.cmake:47 (find_package)
/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-http/aws-c-http-config.cmake:3 (find_dependency)
/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/a*****p/projects/vcpkg/downloads/tools/cmake-3.25.0-osx/cmake-3.25.0-macos-universal/CMake.app/Contents/share/cmake-3.25/Modules/CMakeFindDependencyMacro.cmake:47 (find_package)
/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-crt-cpp/aws-crt-cpp-config.cmake:3 (find_dependency)
/Users/a*****p/projects/vcpkg/scripts/buildsystems/vcpkg.cmake:843 (_find_package)
/Users/a*****p/projects/vcpkg/installed/arm64-osx/share/aws-c-common/AwsFindPackage.cmake:19 (find_package)
aws-cpp-sdk-core/CMakeLists.txt:505 (aws_use_package)
Additional context
The issue gets resolved when someone feels responsible and fixes it. Afaik there is no workaround
@autoantwort thanks for your reply, appreciated.
Preliminary findings:
aws-sdk-cpp passes the contents of ${CURL_LIBRARIES} from the main project to the aws-sdk-cpp-core subproject. In vcpkg, this variable is derived from CURL::lib curl INTERFACE_LINK_LIBRARIES and may contain targets (i.e. $<LINK_ONLY:ZLIB::ZLIB>). However, AFAIU these target are not available in the sub-project.
The ultimate fix is to eliminate targets in CURL_LIBRARIES.
Anyways, the particular usage pattern in aws-sdk-cpp is problematic. Targets are the preferred form for carrying dependencies, and targets require find_package in the consuming sub-project.
|
gharchive/issue
| 2023-01-09T16:04:14 |
2025-04-01T04:35:03.341833
|
{
"authors": [
"autoantwort",
"dg0yt",
"helmkamp",
"patobrien42"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/28827",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1757437382
|
vcpkg upgrade fails with an error
The last two times I have done a vcpkg upgrade to installed packages that have updates the upgrade has failed. I receive an error:
internal error: D:\a_work\1\s\src\vcpkg\commands.build.cpp(889): Value was null
My update/upgrade command is: vcpkg upgrade --no-dry-run >>install.txt
I ensure vcpkg is up to date by issuing a bootstrap-vcpkg command before doing the update/upgrade. My vcpkg is 8 June.
When the upgrade command fails I have to issue an install command for the packages/libraries as the upgrade command removed them earlier before the upgrade errors out.
The following packages will be rebuilt:
boost:x64-windows -> 1.82.0#2
boost:x64-windows-static -> 1.82.0#2
boost:x86-windows -> 1.82.0#2
boost-iostreams[bzip2,core,lzma,zlib,zstd]:x64-windows -> 1.82.0#2
boost-iostreams[bzip2,core,lzma,zlib,zstd]:x64-windows-static -> 1.82.0#2
boost-iostreams[bzip2,core,lzma,zlib,zstd]:x86-windows -> 1.82.0#2
boost-parameter-python:x64-windows -> 1.82.0#2
boost-parameter-python:x64-windows-static -> 1.82.0#2
boost-parameter-python:x86-windows -> 1.82.0#2
boost-python[core,python3]:x64-windows -> 1.82.0#2
boost-python[core,python3]:x64-windows-static -> 1.82.0#2
boost-python[core,python3]:x86-windows -> 1.82.0#2
liblzma:x64-windows -> 5.4.3
liblzma:x64-windows-static -> 5.4.3
liblzma:x86-windows -> 5.4.3
python3:x64-windows -> 3.10.7#6
python3:x64-windows-static -> 3.10.7#6
python3:x86-windows -> 3.10.7#6
sqlite3[core,json1]:x64-windows -> 3.42.0
sqlite3[core,json1]:x86-windows -> 3.42.0
sqlite3[core,json1]:x64-windows-static -> 3.42.0
tiff[core,jpeg,lzma,zip]:x64-windows -> 4.5.0#3
tiff[core,jpeg,lzma,zip]:x64-windows-static -> 4.5.0#3
tiff[core,jpeg,lzma,zip]:x86-windows -> 4.5.0#3
wxwidgets[core,debug-support,sound]:x64-windows -> 3.2.2.1#2
wxwidgets[core,debug-support,sound]:x64-windows-static -> 3.2.2.1#2
wxwidgets[core,debug-support,sound]:x86-windows -> 3.2.2.1#2
Additional packages (*) will be modified to complete this operation.
Detecting compiler hash for triplet x64-windows...
Detecting compiler hash for triplet x64-windows-static...
Detecting compiler hash for triplet x86-windows...
Removing 1/54 boost:x64-windows
Elapsed time to handle boost:x64-windows: 96.1 ms
Removing 2/54 boost:x64-windows-static
Elapsed time to handle boost:x64-windows-static: 61.8 ms
Removing 3/54 boost:x86-windows
Elapsed time to handle boost:x86-windows: 100 ms
Removing 4/54 boost-iostreams:x64-windows
Elapsed time to handle boost-iostreams:x64-windows: 553 ms
Removing 5/54 boost-iostreams:x64-windows-static
Elapsed time to handle boost-iostreams:x64-windows-static: 400 ms
Removing 6/54 boost-iostreams:x86-windows
Elapsed time to handle boost-iostreams:x86-windows: 493 ms
Removing 7/54 boost-parameter-python:x64-windows
Elapsed time to handle boost-parameter-python:x64-windows: 185 ms
Removing 8/54 boost-parameter-python:x64-windows-static
Elapsed time to handle boost-parameter-python:x64-windows-static: 120 ms
Removing 9/54 boost-parameter-python:x86-windows
Elapsed time to handle boost-parameter-python:x86-windows: 104 ms
Removing 10/54 boost-python:x64-windows
Elapsed time to handle boost-python:x64-windows: 394 ms
Removing 11/54 boost-python:x64-windows-static
Elapsed time to handle boost-python:x64-windows-static: 1.9 s
Removing 12/54 boost-python:x86-windows
Elapsed time to handle boost-python:x86-windows: 303 ms
Removing 13/54 python3:x64-windows-static
Elapsed time to handle python3:x64-windows-static: 3.1 s
Removing 14/54 python3:x86-windows
Elapsed time to handle python3:x86-windows: 5.3 s
Removing 15/54 python3:x64-windows
Elapsed time to handle python3:x64-windows: 3.8 s
Removing 16/54 wxwidgets:x64-windows
Elapsed time to handle wxwidgets:x64-windows: 3.7 s
Removing 17/54 tiff:x64-windows
Elapsed time to handle tiff:x64-windows: 93.8 ms
Removing 18/54 liblzma:x64-windows
Elapsed time to handle liblzma:x64-windows: 114 ms
Removing 19/54 wxwidgets:x64-windows-static
Elapsed time to handle wxwidgets:x64-windows-static: 2.5 s
Removing 20/54 tiff:x64-windows-static
Elapsed time to handle tiff:x64-windows-static: 185 ms
Removing 21/54 liblzma:x64-windows-static
Elapsed time to handle liblzma:x64-windows-static: 133 ms
Removing 22/54 wxwidgets:x86-windows
Elapsed time to handle wxwidgets:x86-windows: 3.9 s
Removing 23/54 tiff:x86-windows
Elapsed time to handle tiff:x86-windows: 272 ms
Removing 24/54 liblzma:x86-windows
Elapsed time to handle liblzma:x86-windows: 112 ms
Removing 25/54 sqlite3:x64-windows
Elapsed time to handle sqlite3:x64-windows: 297 ms
Removing 26/54 sqlite3:x64-windows-static
Elapsed time to handle sqlite3:x64-windows-static: 104 ms
Removing 27/54 sqlite3:x86-windows
Elapsed time to handle sqlite3:x86-windows: 64.7 ms
Installing 28/54 liblzma:x64-windows...
Building liblzma:x64-windows...
-- Downloading https://github.com/tukaani-project/xz/archive/v5.4.3.tar.gz -> tukaani-project-xz-v5.4.3.tar.gz...
-- Extracting source D:/Programming/vcpkg/downloads/tukaani-project-xz-v5.4.3.tar.gz
-- Applying patch fix_config_include.patch
-- Applying patch win_output_name.patch
-- Applying patch add_support_ios.patch
-- Applying patch build-tools.patch
-- Using source at D:/Programming/vcpkg/buildtrees/liblzma/src/v5.4.3-3da4e465c1.clean
-- Found external ninja('1.11.0').
-- Configuring x64-windows
-- Building x64-windows-dbg
-- Building x64-windows-rel
-- Fixing pkgconfig file: D:/Programming/vcpkg/packages/liblzma_x64-windows/lib/pkgconfig/liblzma.pc
-- Using cached mingw-w64-i686-pkgconf-1~1.8.0-2-any.pkg.tar.zst.
-- Using cached msys2-msys2-runtime-3.4.6-1-x86_64.pkg.tar.zst.
-- Using msys root at D:/Programming/vcpkg/downloads/tools/msys2/6f3fa1a12ef85a6f
-- Fixing pkgconfig file: D:/Programming/vcpkg/packages/liblzma_x64-windows/debug/lib/pkgconfig/liblzma.pc
-- Installing: D:/Programming/vcpkg/packages/liblzma_x64-windows/share/liblzma/copyright
-- Performing post-build validation
internal error: D:\a_work\1\s\src\vcpkg\commands.build.cpp(889): Value was null
Please open an issue at https://github.com/microsoft/vcpkg/issues/new?template=other-type-of-bug-report.md&labels=category:vcpkg-bug with detailed steps to reproduce the problem.
Duplicate of #31908
Closed as duplicate of #31908.
|
gharchive/issue
| 2023-06-14T18:29:04 |
2025-04-01T04:35:03.366684
|
{
"authors": [
"GeorgePimpleton",
"LilyWangLL",
"autoantwort"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/32000",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2277042718
|
[boost-log] Project link failure
I've a project that uses boost log that always worked.
After the update to vcpkg commit 815d93b520779e4354bb4b954fc2179b3e520c26 it stopped working.
vcpkg installs boost-log correctly but when I use it in my project I obtain the following linking error:
C:\Projects\start\build\debug\ConsoleLog.cpp.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) void __cdecl boost::log::v2_mt_nt62::register_formatter_factory<char>(class boost::log::v2_mt_nt62::attribute_name const &,class boost::shared_ptr<struct boost::log::v2_mt_nt62::formatter_factory<char> > const &)" (__imp_??$register_formatter_factory@D@v2_mt_nt62@log@boost@@YAXAEBVattribute_name@012@AEBV?$shared_ptr@U?$formatter_factory@D@v2_mt_nt62@log@boost@@@2@@Z) referenced in function "void __cdecl boost::log::v2_mt_nt62::register_simple_formatter_factory<enum boost::log::v2_mt_nt62::trivial::severity_level,char>(class boost::log::v2_mt_nt62::attribute_name const &)" (??$register_simple_formatter_factory@W4severity_level@trivial@v2_mt_nt62@log@boost@@D@v2_mt_nt62@log@boost@@YAXAEBVattribute_name@012@@Z)
C:\Projects\start\build\debug\ConsoleLog.cpp.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) class boost::log::v2_mt_nt62::basic_formatter<char> __cdecl boost::log::v2_mt_nt62::parse_formatter<char>(char const *,char const *)" (__imp_??$parse_formatter@D@v2_mt_nt62@log@boost@@YA?AV?$basic_formatter@D@012@PEBD0@Z) referenced in function "class boost::log::v2_mt_nt62::basic_formatter<char> __cdecl boost::log::v2_mt_nt62::parse_formatter<char,struct std::char_traits<char>,class std::allocator<char> >(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const &)" (??$parse_formatter@DU?$char_traits@D@std@@V?$allocator@D@2@@v2_mt_nt62@log@boost@@YA?AV?$basic_formatter@D@012@AEBV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@Z)
This is my CMakeLists.txt
cmake_minimum_required (VERSION 3.26.0)
project (start-logger)
add_definitions (-DSTART_LOGGER_EXPORTS)
find_package (Boost COMPONENTS log REQUIRED QUIET)
include_directories (${CMAKE_CURRENT_SOURCE_DIR}/../..)
include_directories (${Boost_INCLUDE_DIRS})
set (PROJECT_SRC
Factory.cpp
Options.cpp
Private/ConsoleLog.cpp
)
add_library (${PROJECT_NAME} SHARED ${PROJECT_SRC})
target_compile_features(${PROJECT_NAME} PUBLIC ${PROJECT_CXX_STANDARD})
target_link_libraries(${PROJECT_NAME} PRIVATE
${Boost_LIBRARIES}
)
install(TARGETS ${PROJECT_NAME} RUNTIME DESTINATION "${Start_INSTALL_DIR}" COMPONENT libraries)
install(TARGETS ${PROJECT_NAME} RUNTIME_DEPENDENCIES PRE_EXCLUDE_REGEXES "api-ms-" "ext-ms-"
POST_EXCLUDE_REGEXES ".*system32/.*\\.dll"
DIRECTORIES "$<TARGET_FILE_DIR:start-logger>")
The file where I use the boost headers:
#include "Start/Logger/Private/ConsoleLog.hpp"
#include <boost/log/core.hpp>
#include <boost/log/expressions.hpp>
#include <boost/log/sinks/text_file_backend.hpp>
#include <boost/log/sources/record_ostream.hpp>
#include <boost/log/sources/severity_logger.hpp>
#include <boost/log/trivial.hpp>
#include <boost/log/utility/setup/common_attributes.hpp>
#include <boost/log/utility/setup/console.hpp>
#include <boost/log/utility/setup/file.hpp>
namespace Start{
namespace Logger {
namespace Private {
///////////////////////////////////////////////////////////////////////////////
// USING SECTION //
///////////////////////////////////////////////////////////////////////////////
using std::string;
namespace logging = boost::log;
namespace sinks = boost::log::sinks;
namespace src = boost::log::sources;
namespace expr = boost::log::expressions;
namespace attrs = boost::log::attributes;
namespace keywords = boost::log::keywords;
///////////////////////////////////////////////////////////////////////////////
// PUBLIC SECTION //
///////////////////////////////////////////////////////////////////////////////
ConsoleLog::ConsoleLog(const Options& options) :
Interface() {
logging::register_simple_formatter_factory<logging::trivial::severity_level, char>("Severity");
logging::add_common_attributes();
logging::core::get()->add_global_attribute("Scope", logging::attributes::named_scope());
logging::add_console_log(
std::cout,
logging::keywords::format = options.getConsoleMessageFormat()
);
if (options.getUseFileLog()) {
logging::add_file_log(
keywords::target = options.getFileTarget(),
keywords::file_name = options.getFileName(),
keywords::rotation_size = options.getRotationSizeInMb() * 1024 * 1024,
keywords::scan_method = sinks::file::scan_matching,
keywords::format = options.getFileMessageFormat(),
keywords::auto_flush = true
);
}
setVerbosity(options.getMinVerbosity());
}
///////////////////////////////////////////////////////////////////////////////
// VIRTUAL PUBLIC SECTION //
///////////////////////////////////////////////////////////////////////////////
void ConsoleLog::setVerbosity(Verbosity verbosity) {
switch (verbosity) {
case Verbosity::Trace: {
logging::core::get()->set_filter(logging::trivial::severity >= logging::trivial::trace);
} break;
case Verbosity::Debug: {
logging::core::get()->set_filter(logging::trivial::severity >= logging::trivial::debug);
} break;
case Verbosity::Info: {
logging::core::get()->set_filter(logging::trivial::severity >= logging::trivial::info);
} break;
case Verbosity::Warning: {
logging::core::get()->set_filter(logging::trivial::severity >= logging::trivial::warning);
} break;
case Verbosity::Error: {
logging::core::get()->set_filter(logging::trivial::severity >= logging::trivial::error);
} break;
case Verbosity::Fatal: {
logging::core::get()->set_filter(logging::trivial::severity >= logging::trivial::fatal);
} break;
}
}
void ConsoleLog::trace(const string& message) {
BOOST_LOG_TRIVIAL(trace) << message;
}
void ConsoleLog::debug(const string& message) {
BOOST_LOG_TRIVIAL(debug) << message;
}
void ConsoleLog::info(const string& message) {
BOOST_LOG_TRIVIAL(info) << message;
}
void ConsoleLog::warning(const string& message) {
BOOST_LOG_TRIVIAL(warning) << message;
}g
void ConsoleLog::error(const string& message) {
BOOST_LOG_TRIVIAL(error) << message;
}
void ConsoleLog::fatal(const string& message) {
BOOST_LOG_TRIVIAL(fatal) << message;
}
} // namespace Private
} // namespace Logger
} // namespace Start
Environment
OS: Windows 10 19045
Visual Studio 2022 17.9.6
vcpkg triplet: x64-windows
Please update your CMakeLists.txt to use targets instead.
E.g. link against Boost::log
Unfortunately this does not solve my problem. This is the updated CMakeLists.txt:
cmake_minimum_required (VERSION 3.26.0)
project (start-logger)
add_definitions (-DSTART_LOGGER_EXPORTS)
find_package (Boost COMPONENTS log REQUIRED QUIET)
include_directories (${CMAKE_CURRENT_SOURCE_DIR}/../..)
include_directories (${Boost_INCLUDE_DIRS})
set (PROJECT_SRC
Factory.cpp
Options.cpp
Private/ConsoleLog.cpp
)
add_library (${PROJECT_NAME} SHARED ${PROJECT_SRC})
target_compile_features(${PROJECT_NAME} PUBLIC ${PROJECT_CXX_STANDARD})
target_link_libraries(${PROJECT_NAME} PRIVATE
Boost::log
)
install(TARGETS ${PROJECT_NAME} RUNTIME DESTINATION "${Start_INSTALL_DIR}" COMPONENT libraries)
install(TARGETS ${PROJECT_NAME} RUNTIME_DEPENDENCIES PRE_EXCLUDE_REGEXES "api-ms-" "ext-ms-"
POST_EXCLUDE_REGEXES ".*system32/.*\\.dll"
DIRECTORIES "$<TARGET_FILE_DIR:loginlib-logger>")
I've replaced ${BOOST_LIBRARIES} with Boost::log but I've the same linking errors.
try
find_package (Boost COMPONENTS log log_setup REQUIRED QUIET)
target_link_libraries(${PROJECT_NAME} PRIVATE
Boost::log Boost::log_setup
)
It seems to work, thanks.
But what has changed? Because my original CMakeLists.txt always worked before in lot of projects...
But what has changed? Because my original CMakeLists.txt always worked before in lot of projects...
That is because FindBoost.cmake thinks that log has a dependency on log_setup and automatically pulls it in. However, that is untrue if you follow the upstream build (which now provides cmake configs which are used by FindBoost.cmake). log_setup is an addition to log and thus the dependency is inversed. So log_setup depends on log and you where actually dependent on log_setup and not just log. FindBoost.cmake was basically hiding that fact from you before.
Ok now it's clear, thank you.
|
gharchive/issue
| 2024-05-03T06:52:42 |
2025-04-01T04:35:03.375905
|
{
"authors": [
"Neumann-A",
"jepessen"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/38540",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
354615724
|
Can not use libtorrent.
On Ubuntu 18.04 I am trying to use libtorrent with vcpkg but I get a cmake error. I already asked for help on libtorrent project but still no luck.
https://github.com/arvidn/libtorrent/issues/3268#issuecomment-416367206
torrent-rasterbar.dll
https://github.com/Microsoft/vcpkg/blob/master/ports/libtorrent/portfile.cmake
windows port
edit the script so that it is compatible with linux
ok. I think I better use Windows. :)
Hi @dkotrada thanks for posting this issue.
libtorrent has been updated to 1.2.2. Please try to update vcpkg and use it.
The usage is as follows:
find_package(LibtorrentRasterbar CONFIG REQUIRED)
target_link_libraries(main PRIVATE LibtorrentRasterbar::torrent-rasterbar)
Let me know if you have problems.
libtorrent has supported to be found by find_package().
Please try to update.
If you have other problems, please open a new issue.
|
gharchive/issue
| 2018-08-28T08:03:03 |
2025-04-01T04:35:03.379866
|
{
"authors": [
"NancyLi1013",
"Voskrese",
"dkotrada"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/4177",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
373559902
|
How to work with an already downloaded source code distribution
Hi,
I have a proxy in the office with the result that some packages get downloaded and built with no issues, but other fail in download phase. I can still get the package but I need to contact my IT department and they acquire it for me.
Is there a way to install a package that was already downloaded?
BTW below is the error that I get. Note that HTTPS_PROXY and HTTP_PROXY are both set on my machine and other packages get downloaded as expected - I can also download freetype package tar.bz2 file via the browser but proxy somehow prevents vcpkg download from freetype mirror site):
E:\Source\Repos\VcPkg>vcpkg install freetype:x64-windows
The following packages will be built and installed:
freetype[core]:x64-windows
Starting package 1/1: freetype:x64-windows
Building package freetype[core]:x64-windows...
-- Downloading https://download-mirror.savannah.gnu.org/releases/freetype/freetype-2.8.1.tar.bz2...
-- Downloading https://download-mirror.savannah.gnu.org/releases/freetype/freetype-2.8.1.tar.bz2...
Failed. Status: 22;"HTTP response code said error"
CMake Error at scripts/cmake/vcpkg_download_distfile.cmake:156 (message):
Failed to download file.
If you use a proxy, please set the HTTPS_PROXY and HTTP_PROXY environment
variables to "https://user:password@your-proxy-ip-address:port/".
Otherwise, please submit an issue at https://github.com/Microsoft/vcpkg/issues
Call Stack (most recent call first):
ports/freetype/portfile.cmake:4 (vcpkg_download_distfile)
scripts/ports.cmake:71 (include)
Error: Building package freetype:x64-windows failed with: BUILD_FAILED
Please ensure you're using the latest portfiles with .\vcpkg update, then
submit an issue at https://github.com/Microsoft/vcpkg/issues including:
Package: freetype:x64-windows
Vcpkg version: 2018.10.20-nohash
Additionally, attach any relevant sections from the log files above.
Just dropping freetype-2.8.1.tar.bz2 file in vcpkg downloads folder was enough. It would be nice for this to be documented, or if it is, easier to find in the docs.
Sometimes you also have to add a prefix to the filename such as: msys-
|
gharchive/issue
| 2018-10-24T16:05:47 |
2025-04-01T04:35:03.386273
|
{
"authors": [
"Toninoso",
"votecoffee"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/4555",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
383878369
|
arrow[core]:x64-linux fails with "file RENAME failed to rename"
Installing parquet fails on Ubuntu 18.04.1 LTS for:
Package: arrow:x64-linux
Vcpkg version: 2018.10.20-unknownhash
$ vcpkg install parquet
...
Building package arrow[core]:x64-linux...
...
CMake Error at ports/arrow/portfile.cmake:48 (file):
file RENAME failed to rename
/usr/local/vcpkg/packages/arrow_x64-linux/lib/arrow_static.lib
to
/usr/local/vcpkg/packages/arrow_x64-linux/lib/arrow.lib
because: No such file or directory
Call Stack (most recent call first):
scripts/ports.cmake:71 (include)
Error: Building package arrow:x64-linux failed with: BUILD_FAILED
The arrow_static.lib file indeed doesn't exist on linux, but as expected libarrow.a is there.
CMake Error at ports/arrow/portfile.cmake:48 (file) || 48 str
https://github.com/Microsoft/vcpkg/blob/master/ports/arrow/portfile.cmake
file(RENAME ${CURRENT_PACKAGES_DIR}/lib/arrow_static.lib ${CURRENT_PACKAGES_DIR}/lib/arrow.lib)
*.lib = windows
I'm assuming darwin will have the same issue then
Hi, I'm working on a fix for this and an update to Arrow 0.11.1. I should have a PR ready in the next few days.
It's probably wrong that it's looking for the static library as well, as it is my understanding that vcpkg on Linux does not support the "static" triplet option and therefore all the vcpkg Linux ports should be dynamic libraries,.
@philjdf @GPSnoopy
The arrow_static.lib file indeed doesn't exist on linux, but as expected libarrow.a is there.
linux libarrow.a
error
failed to rename arrow_static.lib
It's probably wrong that it's looking for the static library as well, as it is my understanding that vcpkg on Linux does not support the "static" triplet option and therefore all the vcpkg Linux ports should be dynamic libraries,.
The funny thing is
message(STATUS "${VCPKG_LIBRARY_LINKAGE}")
inserted into Arrow's portfile.cmake when running with vcpkg install arrow:x64-linux
gives "static".
@philjdf my bad.
Hi @Apo-, this issue has been fixed due to arrow upgrade to v0.13.0. Please update vcpkg and rebuild arrow.
Thanks.
|
gharchive/issue
| 2018-11-23T16:23:00 |
2025-04-01T04:35:03.393094
|
{
"authors": [
"Apo-",
"GPSnoopy",
"JackBoosY",
"Voskrese",
"philjdf"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/4806",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
413735644
|
[New port request] hidapi
https://github.com/signal11/hidapi
Hi @nazar554 thanks for posting this request. This port has been added to vcpkg. Please try to update vcpkg and use it.
Hi @nazar554 thanks for posting this request. This port has been added to vcpkg. Please try to update vcpkg and use it.
just adding to the response from @NancyLi1013, the hidapi port added was simplified (consumes the .sln file for VS build) and only for Windows. hidapi on Linux distributions have Debian package distributions already, and adding Linux and MacOS ports into vcpkg are still work-in-progress (or work-to-be-planned) for the hidapi contributors.
|
gharchive/issue
| 2019-02-23T20:22:02 |
2025-04-01T04:35:03.395690
|
{
"authors": [
"NancyLi1013",
"kejxu",
"nazar554"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/issues/5429",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
630311660
|
[vcpkg manifest] Manifest Implementation
This is going to be quite large! Based on the RFC in #11203
Port-Version ? call a spade a spade? Patch-Version: 4
Major.Minor.Patch[-Suffix]
@voskrese that's not what this is, port-version is the version of the port, separate from the version of the package; i.e., LLVM might be at version 10.0.1, but we've had 3 updates to the port, so this is the 3rd port which is for LLVM 10.0.1.
NuGet 4.3.0+ supports SemVer 2.0.0, which supports pre-release numbers with dot notation, as in 1.0.1-build.23
Pre-release versions
Technically speaking, package creators can use any string as a suffix to denote a pre-release version, as NuGet treats any such version as pre-release and makes no other interpretation. That is, NuGet displays the full version string in whatever UI is involved, leaving any interpretation of the suffix's meaning to the consumer.
That said, package developers generally follow recognized naming conventions:
-alpha: Alpha release, typically used for work-in-progress and experimentation.
-beta: Beta release, typically one that is feature complete for the next planned release, but may contain known bugs.
-rc: Release candidate, typically a release that's potentially final (stable) unless significant bugs emerge.
Any of the package's dependency version ranges has a minimum or maximum version that is SemVer v2.0.0 compliant but not SemVer v1.0.0 compliant, defined above; for example, [1.0.0-alpha.1, ).
ok
Pre-release: 4
LLVM might be at version 10.0.1-alpha.4 ?
would like to follow the standards so that it is easier to import / export packages from repositories
I'm mostly 'request changes' over the
canonical call in vcpkgpaths.cpp since I think that's a bug
the 'doing lots of work in main'
missing tests (It's hard to evaluate correctness of parsers in code reviews, so I kinda lean on the presence of tests to indicate correctness)
I'd really like to see us not add another global but would not block over that.
I've fuzzed for >3M execs the new platform expression parser. There were two crashes, both stack overflow.
Lots of merges which broke my PR :P
|
gharchive/pull-request
| 2020-06-03T20:41:07 |
2025-04-01T04:35:03.402626
|
{
"authors": [
"BillyONeal",
"Voskrese",
"strega-nil"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/11757",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
702238856
|
[v-hacd] Fix cmake patch for include files
This PR is an attempt at fixing the v-hacd port. It fixes the target include directory so that the public include file VHACD.h can be found in the include path. It also stops installing the private header files in order to reduce clutter.
I think the patch+portfile from the port (and also the CMakeLists from the project repository) could benefit from some rework (cleanup, simplification, fix of shared library), unfortunately I am unable to do it at the moment. The changes are the minimum I had to do to make it work on my machine.
Which triplets are supported/not supported? Have you updated the CI baseline?
Tested with x64-windows and VS2019. What is the CI baseline ?
Let me know if anything is missing or feel free to take over from here.
Thanks for the review, I amended the commit with the requested changes.
/azp run
Thanks for your contribution!
|
gharchive/pull-request
| 2020-09-15T20:32:56 |
2025-04-01T04:35:03.405202
|
{
"authors": [
"BillyONeal",
"FabienPean",
"PhoebeHui"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/13549",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
757525097
|
[vcpkg] Disable survey message
We're retiring the in-tool survey for now. Thank you to everyone who responded!
Thanks! :D
|
gharchive/pull-request
| 2020-12-05T03:26:55 |
2025-04-01T04:35:03.406537
|
{
"authors": [
"BillyONeal",
"ras0219"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/14954",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
784413312
|
delete linux from fail port from tomlplusplus
What does your PR fix?
Build on GNU/Linux
If you can confirm success build on other platforms I also can delete them from cmake file
LGTM now, thanks for our PR. @marshevms.
LGTM now, thanks for our PR. @marshevms.
/azp run
/azp run
I think the other platforms were disabled mostly due to the right version of meson not available in the CI machine. If anyone is interested, probably just enabling them and check if CI is able to run correctly I guess is probably enough.
I think the other platforms were disabled mostly due to the right version of meson not available in the CI machine. If anyone is interested, probably just enabling them and check if CI is able to run correctly I guess is probably enough.
@traversaro
Thanks for your kindly reminder. We will check this later.
@traversaro
Thanks for your kindly reminder. We will check this later.
Confirmed tomlplusplus can work on osx platform now. I can build it without any problems on my local.
Confirmed tomlplusplus can work on osx platform now. I can build it without any problems on my local.
|
gharchive/pull-request
| 2021-01-12T16:57:13 |
2025-04-01T04:35:03.410538
|
{
"authors": [
"NancyLi1013",
"marshevms",
"traversaro"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/15609",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
807994810
|
[libebur128] update to 1.2.6; fixes dynamic linking on Windows
Fixes #16078
Thanks for the update!
|
gharchive/pull-request
| 2021-02-14T16:33:02 |
2025-04-01T04:35:03.411483
|
{
"authors": [
"Be-ing",
"ras0219-msft"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/16223",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
952340283
|
Fix target_link_libraries on repeated inclusion of wrappers
What does your PR fix?
This PR fixes errors
when a cmake project issues a calls find_package(PKG) multiple times from different directories
and there is a vcpkg-cmake-wrapper.cmake for PKG
and this wrapper calls target_link_libraries(IMPORTED::TARGET ...):
CMake <= 3.20 doesn't allow calling target_link_libraries(SOME::TARGET ...) when SOME_TARGET is an imported target created for another directory. It reports:
Cannot specify link libraries for target "SOME::TARGET" which is not built by this project.
The problem with the existing wrappers (gdal, libxml2) became visible when adding feature gdal to port kealib (#19118). The fact that the GDAL wrapper calls find_package for dependencies in a cmake function (i.e. within a separate scope) possibly contributes to the double loading of the wrapper and module.
Note that CMake find modules or config files take care to not add and configure a target twice. But all other operations (setting normal variables such as GDAL_FOUND, setting cache variables such as GDAL_INCLUDE_DIR) are repeated, and this seems necessary to make normal variables available in each scope (directory, function) which calls find_package.
This PR touches all ports which call target_link_libraries in order to have a common solution.
Personally I could only test gdal and libxml so far (via kealib[gdal]).
Alternatives to the chosen implementation:
CMake Policy 0079 lifts restrictions for normal targets.
Doesn't help for imported targets. (The libxml2 wrapper sets CMP0079 NEW and still is affected.)
Hope for the issue be resolved with CMake 3.21, https://github.com/Kitware/CMake/commit/ea6d338ea10cd9a567e727cbf3d365966cb6f43c.
Doesn't work for wrappers, because they need to work with user's version of cmake (down to 3.x).
Possibly duplicated property members.
Replace target_link_libraries with
set_property(TARGET SOME::TARGET APPEND PROPERTY INTERFACE_LINK_LIBRARIES ...)
Results in duplicate property members.
Add standardized vcpkg support functions for getting wrappers right.
Which triplets are supported/not supported? Have you updated the CI baseline?
all, no
Does your PR follow the maintainer guide?
yes
If you have added/updated a port: Have you run ./vcpkg x-add-version --all and committed the result?
yes
Instead of polluting users scope with variables it would be better to add a target property like z_vcpkg_wrapper or so and set/read it as needed
Instead of polluting users scope with variables it would be better to add a target property like z_vcpkg_wrapper or so and set/read it as needed
Yes, this is an approach that I considered, too. However I would prefer to see this as part of "Add standardized vcpkg support functions for getting wrappers right." Otherwise, working with the properties will add even more lines of code to each wrapper. And even reading a property requires to use a variable.
(About polluting user scopes: In connection with cmake 3.1 support, this was the reason why I chose to write
if(";${ARGS};" MATCHES ";REQUIRED;")
instead of what was added in review:
list(FIND ARGS "REQUIRED" required)
if(NOT required EQUAL "-1")
But this is resolved with CMake 3.4's IN_LIST.
And the gdal wrapper does find_package for dependencies in a function. But this does not create a scope for targets and cache variables, and this inconsistency may be worse than the pollution.)
And the gdal wrapper does find_package for dependencies in a function. But this does not create a scope for targets and cache variables, and this inconsistency may be worse than the pollution.)
Yeah that is bad behavior. find_package basically needs the directory scope of the calling CMakeLists.txt to be correct. Meaning: Never wrap find_package in a function. The same goes for some include() (e.g. CTest)
Add standardized vcpkg support functions for getting wrappers right." Otherwise, working with the properties will add even more lines of code to each wrapper.
4-5 lines ? Nothing more than you already add.....
get the property.
Use it in IFs.
set the property.
unset the get variable.
4-5 lines ? Nothing more than you already add.....
Sure, but nothing is gained for not "polluting users scope with variables" as long as there is a "get the property".
And "Use it in IFs" is the ugly, repetitive part.
Please resolve the file conflicts.
Thanks.
I believe target_link_libraries(INTERFACE) behaves differently with set_target_properties(INTERFACE_LINK_LIBRARIES) in that target_link_libraries(INTERFACE) propagate the interface dependencies' usage requirements to the dependent target, while setting target properties directly does not. Whether a vcpkg port provides target that has its own interface dependencies or not is implementation detail of each port and I don't think it's a good idea to ensure target_link_libraries and set_target_properties behave the same each time a port updates. I personally consider if guard and custom target properties for vcpkg be better idea.
/azp run
/azp run
Thanks for your help!
|
gharchive/pull-request
| 2021-07-25T19:30:38 |
2025-04-01T04:35:03.426321
|
{
"authors": [
"BillyONeal",
"JackBoosY",
"Neumann-A",
"dg0yt",
"gnaggnoyil",
"ras0219-msft"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/19120",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
953442232
|
[yasm] Fix feature tools
When building dynamic yasm, its tools need to dynamically call the library yasmstd, so manually copy the library to tools.
Add support with arm / linux /osx.
Related: https://github.com/microsoft/vcpkg/pull/18816.
I didn't get a reply from Robert but this didn't seem to be an over-his-dead-body thing so I just merged this
|
gharchive/pull-request
| 2021-07-27T02:32:57 |
2025-04-01T04:35:03.428286
|
{
"authors": [
"BillyONeal",
"JackBoosY"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/19162",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
968198822
|
[boost-multiprecision] Add missing dependency
Fixes https://github.com/microsoft/vcpkg/issues/19506
boost-multiprecision depends on boost-math.
See https://github.com/boostorg/multiprecision/blob/develop/CMakeLists.txt
Closing in favor of https://github.com/microsoft/vcpkg/pull/19556.
|
gharchive/pull-request
| 2021-08-12T06:53:43 |
2025-04-01T04:35:03.430276
|
{
"authors": [
"PhoebeHui"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/19514",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1111965177
|
[botan] no absolute paths
Partially reverts #22343. Replace both path separators.
LGTM
|
gharchive/pull-request
| 2022-01-23T19:35:56 |
2025-04-01T04:35:03.431029
|
{
"authors": [
"autoantwort",
"ras0219-msft"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/22722",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1727514756
|
[libtcod] Update to 1.24.0
[x] Changes comply with the maintainer guide
[x] SHA512s are updated for each updated download
[x] The "supports" clause reflects platforms that may be fixed by this new version
[x] Any fixed CI baseline entries are removed from that file.
[x] Any patches that are no longer applied are deleted from the port's directory.
[x] The version database is fixed by rerunning ./vcpkg x-add-version --all and committing the result.
[x] Only one version is added to each modified port's versions file.
All features are tested successfully in the following triplet:
x86-windows
x64-windows
x64-windows-static
The usage test passed (header files found):
libtcod provides CMake targets:
# this is heuristically generated, and may not be correct
find_package(libtcod CONFIG REQUIRED)
target_link_libraries(main PRIVATE libtcod::libtcod)
|
gharchive/pull-request
| 2023-05-26T12:14:36 |
2025-04-01T04:35:03.434184
|
{
"authors": [
"HexDecimal",
"MonicaLiu0311"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/31645",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1918648309
|
[libgpg-error,libgcrypt,libassuan,gpgme,libgwenhywfar] Update and fix
Updates ports.
Fixes https://github.com/microsoft/vcpkg/pull/27668#discussion_r1339794415.
Fixes a number of other quirks in particular in the provided config scripts, and for windows hosts (targeting mingw).
Updating libgwenhywfar is out of scope for this PR. (It is not from the gnupg libs familly.) https://github.com/microsoft/vcpkg/issues/31216 remains unfixed. AFAIU libgwenhywfar incorrectly detects and forwards flags from qmake. The fix might be investigated together with an update in another PR.
CC @friendlyanon
This needs more work for static linkage.
Thanks for all the updates and fixes!
|
gharchive/pull-request
| 2023-09-29T06:06:22 |
2025-04-01T04:35:03.436951
|
{
"authors": [
"BillyONeal",
"dg0yt"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/34135",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
2162532393
|
[pcre2] Disable JIT when targeting iOS
PCRE2 JIT compilation is unsupported on iOS as per https://codereview.qt-project.org/c/qt/qtbase/+/204514
Since our Qt port uses the separately built pcre2 port (instead of the bundled version):
https://github.com/microsoft/vcpkg/blob/3f966cf6a8654a0bc067738bcb95d489e197ad68/ports/qtbase/portfile.cmake#L315
...the linked Qt fix doesn't apply to us, so we'll have to disable it explicitly.
Background
I ran into this today while debugging a crash of a Qt app built for the iOS simulator (using vcpkg-built libraries):
Crash Log
Exception Type: EXC_BAD_ACCESS (SIGBUS)
Exception Subtype: KERN_PROTECTION_FAILURE at 0x000000010dbb8008
Exception Codes: 0x0000000000000002, 0x000000010dbb8008
VM Region Info: 0x10dbb8008 is in 0x10dbb8000-0x10dbc8000; bytes after start: 8 bytes before end: 65527
REGION TYPE START - END [ VSIZE] PRT/MAX SHRMOD REGION DETAIL
ColorSync 10dbb0000-10dbb8000 [ 32K] r--/r-- SM=PRV
---> VM_ALLOCATE 10dbb8000-10dbc8000 [ 64K] rwx/rwx SM=PRV
GAP OF 0x38000 BYTES
MALLOC_TINY 10dc00000-10dd00000 [ 1024K] rw-/rwx SM=PRV
Termination Reason: SIGNAL 10 Bus error: 10
Terminating Process: exc handler [98229]
Triggered by Thread: 0
Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 Mixxx 0x107b8ec24 sljit_malloc_exec + 236
1 Mixxx 0x107b8ea80 pcre2_jit_compile_16 + 160
2 Mixxx 0x104ec52d4 QRegularExpressionPrivate::compilePattern() + 252
3 Mixxx 0x104ec6058 QRegularExpression::isValid() const + 24
4 Mixxx 0x104e30194 QtPrivate::contains(QStringView, QString const*, QRegularExpression const&, QRegularExpressionMatch*) + 52
5 Mixxx 0x10599a8ec QIOSScreen::QIOSScreen(UIScreen*) + 1060
6 Mixxx 0x105998850 QIOSIntegration::initialize() + 272
7 Mixxx 0x104d8165c QCoreApplicationPrivate::init() + 1640
8 Mixxx 0x1076c80e0 QGuiApplicationPrivate::init() + 60
9 Mixxx 0x105d9d20c QApplicationPrivate::init() + 24
10 Mixxx 0x105d9d1e0 QApplication::QApplication(int&, char**, int) + 140
This fixes the problem.
Checklist
[x] Changes comply with the maintainer guide.
[x] SHA512s are updated for each updated download (not applicable).
[x] The "supports" clause reflects platforms that may be fixed by this new version.
[x] Any fixed CI baseline entries are removed from that file (not applicable).
[x] Any patches that are no longer applied are deleted from the port's directory (not applicable).
[x] The version database is fixed by rerunning ./vcpkg x-add-version --all and committing the result.
[x] Only one version is added to each modified port's versions file.
Reference https://github.com/PCRE2Project/pcre2/issues/212#issuecomment-1446065921
|
gharchive/pull-request
| 2024-03-01T03:34:03 |
2025-04-01T04:35:03.442478
|
{
"authors": [
"WangWeiLin-MV",
"fwcd"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/37059",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
537596084
|
[opendnp3] Add new port
Fixes issue #9312
Thank you for your submission, we really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.:x: OOPMan sign nowYou have signed the CLA already but the status is still pending? Let us recheck it.
@OOPMan , thanks for the PR!
The CI test failed with following triplet, is it expected? if not, could you help take a look?
opendnp3:x64-uwp
opendnp3:arm-uwp
If so, could you add 'vcpkg_fail_port_install(ON_TARGET "uwp")' at the top of portfile.cmake. And
could you also update https://github.com/microsoft/vcpkg/blob/master/scripts/ci.baseline.txt?
opendnp3:x64-uwp=fail
opendnp3:arm-uwp=fail
|
gharchive/pull-request
| 2019-12-13T15:00:34 |
2025-04-01T04:35:03.446797
|
{
"authors": [
"OOPMan",
"PhoebeHui",
"msftclas"
],
"repo": "microsoft/vcpkg",
"url": "https://github.com/microsoft/vcpkg/pull/9313",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
476747586
|
Picture capturing with RTSP stream
To capture pic, another solution would be to get the RTSP stream and extract a JPG from there.
But for that we couldn’t find out how to install a package like FFMPeg…
from: Hans Stanglmayr
Closing issue, please re-open if issue still exists.
|
gharchive/issue
| 2019-08-05T09:19:53 |
2025-04-01T04:35:03.448004
|
{
"authors": [
"jkubicka",
"philipcaffeine"
],
"repo": "microsoft/vision-ai-developer-kit",
"url": "https://github.com/microsoft/vision-ai-developer-kit/issues/208",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
858634829
|
[Suggestion] Add the tooltip for the code lens or make the code lens adaptive to the screen
OS: Windows
Build Version: 20210415.8
Repro Steps:
Create a main.json template file with below content.
{
"$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
"contentVersion": "1.0.0.0",
"parameters": {},
"functions": [],
"variables": {
"childUri": "https://elsa001.blob.core.windows.net/test/child.json?sv=2020-04-08&st=2021-04-15T07%3A22%3A32Z&se=2021-04-16T07%3A22%3A32Z&sr=b&sp=racwdxt&sig=SBy1%2F7uZXGhQ508n2dVwTOz5Sui0BTcRODkSSjR%2BHR8%3D"
},
"resources": [
{
"name": "linkedDeployment1",
"type": "Microsoft.Resources/deployments",
"apiVersion": "2020-10-01",
"properties": {
"mode": "Incremental",
"templateLink": {
"uri": "[variables('childUri')]",
"contentVersion": "1.0.0.0"
},
"parameters": {
}
}
}
],
"outputs": {}
}
Hover on the longer code lens or drag the below progress bar.
Check whether all the code lens can be checked or not.
Actual:
There is no tooltip when hovering on the code lens and the code lens don't move with the progress bar.
Suggestion:
Add the tooltip for the code lens or make the code lens adaptive to the screen.
More Info:
It is easy to check all the code lens if there is a tooltip or it adaptive to the screen.
This is vscode behavior. We don't draw the tooltips.
|
gharchive/issue
| 2021-04-15T08:29:45 |
2025-04-01T04:35:03.452304
|
{
"authors": [
"StephenWeatherford",
"v-ruizh"
],
"repo": "microsoft/vscode-azurearmtools",
"url": "https://github.com/microsoft/vscode-azurearmtools/issues/1289",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
493562301
|
Acquire language server binaries during build
If environment variables are set with credentials to the language server nuget package, then they are downloaded and incorporated into the vsix during build, and the license is swapped out for the one with the language server.
Otherwise, a vsix without the language server is created.
A staging directory is used so we can modify the package/license as needed.
Once this is merged, I can merge saw/language-server into master.
Alex/Prashanth: I'd like to get this in today, thanks!
|
gharchive/pull-request
| 2019-09-14T00:40:21 |
2025-04-01T04:35:03.453837
|
{
"authors": [
"StephenWeatherford"
],
"repo": "microsoft/vscode-azurearmtools",
"url": "https://github.com/microsoft/vscode-azurearmtools/pull/289",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
754626040
|
Allow blobs and blob directories to coexist 😊
Attempting to load a blob and directory with the same name would throw an error since their IDs were the same. This ensures that blob directory IDs will always be different from blob IDs.
Fixes https://github.com/microsoft/vscode-azurestorage/issues/829
EDIT: Depends on https://github.com/microsoft/vscode-azuretools/pull/828
I got rid of the ID changes here. The logic to make sure the right resource type is opened didn't change
|
gharchive/pull-request
| 2020-12-01T18:29:17 |
2025-04-01T04:35:03.455595
|
{
"authors": [
"wwlorey"
],
"repo": "microsoft/vscode-azurestorage",
"url": "https://github.com/microsoft/vscode-azurestorage/pull/893",
"license": "MIT",
"license_type": "permissive",
"license_source": "github-api"
}
|
1730599300
|
Provide spoken language options for chat
Provide spoken language options for chat.
so that the user can choose the language of the conversation.
Can't agree more
|
gharchive/issue
| 2023-05-29T11:28:24 |
2025-04-01T04:35:03.456687
|
{
"authors": [
"royalknight56",
"yi-ge"
],
"repo": "microsoft/vscode-copilot-release",
"url": "https://github.com/microsoft/vscode-copilot-release/issues/161",
"license": "CC-BY-4.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
2703364181
|
Dont mtch
Type: Bug
Argument of type '[never, never]' is not assignable to parameter of type 'never'.
Extension version: 0.23.2024102903
VS Code version: Code 1.95.3 (f1a4fb101478ce6ec82fe9627c43efbf9e98c813, 2024-11-13T14:50:04.152Z)
OS version: Windows_NT x64 10.0.19045
Modes:
System Info
Item
Value
CPUs
Intel(R) Core(TM) i5-4210U CPU @ 1.70GHz (4 x 2394)
GPU Status
2d_canvas: enabledcanvas_oop_rasterization: enabled_ondirect_rendering_display_compositor: disabled_off_okgpu_compositing: enabledmultiple_raster_threads: enabled_onopengl: enabled_onrasterization: enabledraw_draw: disabled_off_okskia_graphite: disabled_offvideo_decode: enabledvideo_encode: enabledvulkan: disabled_offwebgl: enabledwebgl2: enabledwebgpu: enabledwebnn: disabled_off
Load (avg)
undefined
Memory (System)
7.94GB (0.40GB free)
Process Argv
--folder-uri file:///c%3A/Users/RICARDO/Desktop/Alana/app/App-Alana --crash-reporter-id 3054c606-2d54-4d90-b2bf-1f96ba18cb20
Screen Reader
no
VM
0%
A/B Experiments
vsliv368cf:30146710
vspor879:30202332
vspor708:30202333
vspor363:30204092
vscod805cf:30301675
binariesv615:30325510
vsaa593:30376534
py29gd2263:31024239
vscaac:30438847
c4g48928:30535728
azure-dev_surveyone:30548225
962ge761:30959799
pythonnoceb:30805159
asynctok:30898717
pythonmypyd1:30879173
h48ei257:31000450
pythontbext0:30879054
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
dsvsc021:30996838
01bff139:31013167
dvdeprecation:31068756
dwnewjupytercf:31046870
newcmakeconfigv2:31071590
nativerepl2:31139839
pythonrstrctxt:31112756
cf971741:31144450
iacca1:31171482
notype1cf:31157160
5fd0e150:31155592
dwcopilot:31170013
stablechunks:31184530
Are you still seeing this issue in the latest insiders? If you are, please provide steps to reproduce the problem
|
gharchive/issue
| 2024-11-28T22:25:54 |
2025-04-01T04:35:03.463699
|
{
"authors": [
"RicardoCordovilla",
"mjbvz"
],
"repo": "microsoft/vscode-copilot-release",
"url": "https://github.com/microsoft/vscode-copilot-release/issues/2915",
"license": "CC-BY-4.0",
"license_type": "permissive",
"license_source": "github-api"
}
|
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