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I'm attempting to write some tests for a CDK Construct that validates security group rules defined as part of the construct. The Construct looks something like the following. export interface SampleConstructProps extends StackProps { srcSecurityGroupId: string; } export class SampleConstruct extends Construct { securityGroup: SecurityGroup; constructor(scope
I'm upgrading an application from Django 1.11.25 (Python 2.6) to Django 3.1.3 (Python 3.8.5) and, when I run manage.py makemigrations , I receive this message: File "/home/eduardo/projdevs/upgrade-intra/corporate/models/section.py", line 9, in <module> from authentication.models import get_sentinel** ImportError: cannot import name 'get_sentinel' from
So azurerm updated to 2.0 a few hours ago.... My main code is version locked for safety, but I'm doing some testing to see what's changed from the public beta of 1.44 and now I'm getting this error on any TF command apart from terraform init. has anybody else come upon this?
On a Windows 10 PC with an NVidia GeForce 820M I installed CUDA 9.2 and cudnn 7.1 successfully, and then installed PyTorch using the instructions at pytorch.org: pip install torch==1.4.0+cu92 torchvision==0.5.0+cu92 -f https://download.pytorch.org/whl/torch_stable.html But I get: >>> import torch >>> torch.cuda.is_available() False
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
This seems like such a simple question to answer, but finding an answer for this seems impossible. I am building a password reset feature for a backend application with Express and Typescript. I am using Postgres for the database and Typeorm for data manipulation. I have a User entity with these two columns in my database: @Column({ unique: true, nullable: t
I try to import some files to a PostgreSQL database but I get this error: Falha Importar: SET SET SET SET SET set_config ------------ (1 row) SET SET SET SET SET Import error: exit status 3 ERROR: unrecognized configuration parameter "default_table_access_method"
I'm using Microsoft.Azure.ServiceBus . ( doc ) I was getting an exception of: The lock supplied is invalid. Either the lock expired, or the message has already been removed from the queue. By the help of these questions: 1 , 2 , 3 , I am able to avoid the Exception by setting the AutoComplete to false and by increment the Azure's queue lock duration to its m
I want to connect service from one GKE cluster to another one. I created service as a internal load balancer and I would like to attach a static ip to it. I created my service.yml apiVersion: v1 kind: Service metadata: name: ilb-service annotations: cloud.google.com/load-balancer-type: "Internal" kubernetes.io/ingress.global-static-ip-name: es-test labels: a
python
terraform
azure
pytorch
vault
express
typescript
postgresql