We already have some scripts in the scripts directory. It would be good to run them for every PR.
This is also a great task for beginners.

In our database projects we have several scmp-files with pre-configured schema compares.
As now I can use the files by opening the Schema Compare from the context-menu on the connection, and then click Open .scmp-file.

If I try to open the file from the file explorer or the project explorer I only get the underlaying XML-file, which mostly often isn't very useful.
It would be great to op

Here are the steps to migrate a resource:

1. Pull latest changes from my refactor-migration-t1 branch.
2. Set the var SINGLE_RESOURCE_NAME in cmd/migrator/main.go to the resource filename.
3. Run go run cmd/migrator/main.go, the resource file would be edited and a new resource file will be created in internal/resources/aws
4. All things that the script was unable to migrate are chang

The https://github.com/nccgroup/ScoutSuite/blob/master/ScoutSuite/providers/gcp/rules/findings/iam-lack-of-service-account-key-rotation.json finding should only flag USER_MANAGED keys (https://cloud.google.com/iam/docs/reference/rest/v1/projects.serviceAccounts.keys), as SYSTEM_MANAGED keys are "managed and rotated by Google"

Describe the issue
https://github.com/bridgecrewio/checkov/blob/master/checkov/dockerfile/checks/UserExists.py doesn't cover all of https://docs.bridgecrew.io/docs/ensure-that-a-user-for-the-container-has-been-created

Bridgecrew Policy ID: BC_DKR_3
Checkov Check ID: CKV_DOCKER_3

ToDo: Additionally check if gosu is executed in either CMD or ENTRYPOINT

Examples

FROM al

Summary

The Event Hubs client library aims to be mockable and fully support testability. To help illustrate usage of the new API for the testing scenarios, a set of samples mocking the various Event Hubs client types and illustrating use of the model factory is needed.

Scope of Work

• Implement a sample or set of samples demonstrating a basic approach for mocking the high level cli

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

The example shown here (https://registry.terraform.io/providers/hashicorp/azurerm/latest/docs/data-sources/key_vault_secrets) has a for_each on the data source. I used it for one of my use cases, but it throws the below error.

data "azurerm_key_vault" "cpe_akv" {
name = "cpe"
resource_group_name = "cpe-secrets"
}

data "azurerm_key_vault_secrets" "secrets" {
key_vaul

Description

When Remove-AzPolicyExemption is run with -Confirm:$false the cmdlet still ask for confirmation. This is not expected. In additional this cmdlet behaviors also differently than the other Policy cmdlets e.g Remove-AzPolicyAssignment.

If -Confirm:$false is specified the cmdlet should not ask for confirmation anymore.

Issue script & Debug output

N/A

Hi, I read example command here https://docs.microsoft.com/en-us/cli/azure/container?view=azure-cli-latest#examples

and I found wrong command on "Create a container in a container group that runs Windows, with 2 cores and 3.5Gb of memory." Section.

Here your command
az container create -g MyResourceGroup --name myapp --image myimage:latest --ip-address public --ports 8081 --protocol UDP