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#!/bin/bash | |
# Function to display usage information | |
usage() { | |
echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]" | |
exit 1 | |
} | |
# Check if at least one argument (input file) is provided | |
if [ $# -lt 1 ]; then |
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{ | |
"global": { | |
"ask_for_confirmation_before_quitting": true, | |
"check_for_updates_on_startup": true, | |
"show_in_menu_bar": true, | |
"show_profile_name_in_menu_bar": false, | |
"unsafe_ui": false | |
}, | |
"profiles": [ | |
{ |
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services: | |
web: | |
image: nginx:latest | |
ports: | |
- "80:80" | |
volumes: | |
- web_data:/usr/share/nginx/html | |
# volumes: | |
# web_data: |
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``` | |
export RANDOM_ID="$(openssl rand -hex 3)" | |
export MY_RESOURCE_GROUP_NAME="CGRG$RANDOM_ID" | |
export REGION="westus" | |
export MY_AKS_CLUSTER_NAME="andromeda$RANDOM_ID" | |
export MY_DNS_LABEL="cgdns$RANDOM_ID" | |
az group create --name $MY_RESOURCE_GROUP_NAME --location $REGION | |
az aks create --resource-group $MY_RESOURCE_GROUP_NAME --name $MY_AKS_CLUSTER_NAME --node-count 1 --generate-ssh-keys |
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# a machine with a GPU would be nice. makes it faster. | |
# install Ollama - a runner for the models | |
sudo curl -L https://ollama.com/download/ollama-linux-amd64 -o /usr/bin/ollama | |
sudo chmod +x /usr/bin/ollama | |
sudo useradd -r -s /bin/false -m -d /usr/share/ollama ollama | |
# create service unit file | |
tee /usr/lib/systemd/system/ollama.service > /dev/null <<EOF |
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```dataviewjs | |
this.container.style.minHeight = "1000px"; | |
const { renderCalendar } = app.plugins.plugins["obsidian-full-calendar"]; | |
let today = moment().format("GGGG-[W]WW"); | |
let rawData = await dv.io.csv("DataStores/csv/" + moment().format("GGGG-[W]WW") + ".csv"); | |
let entries = rawData.map((p) => ({ | |
backgroundColor: p.calendar == 'family' ? '#452538' : '#4d95f7', | |
borderColor: this.app.vault.getAbstractFileByPath(p.id + ".md") ? '#406f0b' : '#4d95f7', | |
allDay: p.allDay, |
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{ | |
"AWSTemplateFormatVersion": "2010-09-09", | |
"Description": "Create a multi-az, load balanced and Auto Scaled sample web site running on\nan Apache Web Server. The application is configured to span all\nAvailability Zones in the region and is Auto-Scaled based on the CPU\nutilization of the web servers. Notifications will be sent to the operator\nemail address on scaling events. The instances are load balanced with a\nsimple health check against the default web page. **WARNING** This template\ncreates one or more Amazon EC2 instances and an Elastic Load Balancer. You\nwill be billed for the AWS resources used if you create a stack from this\ntemplate.\n", | |
"Parameters": { | |
"InstanceType": { | |
"Description": "WebServer EC2 instance type", | |
"Type": "String", | |
"Default": "t4g.micro" | |
}, | |
"OperatorEMail": { |
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AWSTemplateFormatVersion: "2010-09-09" | |
Description: | | |
Create a multi-az, load balanced and Auto Scaled sample web site running on | |
an Apache Web Server. The application is configured to span all | |
Availability Zones in the region and is Auto-Scaled based on the CPU | |
utilization of the web servers. Notifications will be sent to the operator | |
email address on scaling events. The instances are load balanced with a | |
simple health check against the default web page. **WARNING** This template | |
creates one or more Amazon EC2 instances and an Elastic Load Balancer. You |
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--- | |
services: | |
bitwarden: | |
container_name: vault | |
hostname: vault | |
image: vaultwarden/server:1.30.5-alpine | |
restart: always | |
volumes: | |
- /etc/localtime:/etc/localtime:ro | |
- $PWD/log:/var/log/vaultwarden |
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