dfsnow

import numpy as np
import pandas as pd
import pyspark.pandas as ps


# dbt setup and data fetching stuff, feel free to ignore
config_dict = {}

def ref(*args, **kwargs):
    refs = {"reporting.ratio_stats_input": "\"awsdatacatalog\".\"reporting\".\"ratio_stats_input\""}

dfsnow

# Increase Java memory
options(java.parameters = "-Xmx10G")

# Load libraries
library(data.table)
library(dplyr)
library(ggplot2)
library(ggspatial)
library(osmdata)
library(osmextract)

dfsnow

modules:
  jellyfin:
    headers:
      # The Token value here needs to be an API key generated from the
      # Jellyfin admin panel. It's hard-coded here but I'm sure there's
      # a better way
      Authorization: MediaBrowser Token=ADD_TOKEN_HERE
      Content-Type: application/json
      accept: application/json

dfsnow

javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{
    default: Turndown
}, {
    default: Readability
}]) => {

  /* Optional vault name */
  const vault = "";

  /* Optional folder name such as "Clippings/" */

dfsnow

#include <AirGradient.h>
#include <WiFiManager.h>
#include <ESP8266WiFi.h>
#include <ESP8266WebServer.h>
#include <WiFiClient.h>

#include <EEPROM.h>

#include <SensirionI2CSgp41.h>
#include <NOxGasIndexAlgorithm.h>

dfsnow

# Create an array of columns (destinations) from separate input file
BEGIN {
    FS=OFS=","
    while ((getline line <dests) > 0) {
        contents = contents line
    }
    numCols = split(contents,cols)
}

# Create the CSV header by printing each destination

dfsnow

##### Setup #####

# Load the necessary libraries
library(tidytransit) # Parse GTFS feeds
library(dplyr)
library(tidyr)
library(lubridate)
library(sf)
library(ggplot2)
library(gganimate)   # Animate the ggplot + tween between frames