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from get_data import *
import math
import networkx as nx
import h3
import json
from torch_geometric.utils import from_networkx
from torch_geometric.data import Data
import pickle

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import torch
import torch.nn.functional as F
from torch_geometric.nn import GCNConv, AGNNConv, SAGEConv, XConv
from torch_geometric.data import Data, DataLoader, Dataset
import pickle
from torch.nn import Linear, ReLU, Flatten
import random
import numpy as np
import matplotlib.pyplot as plt
from get_data import get_city_details

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import requests
import datetime
import h3
import networkx as nx
import urllib
import numpy as np
import pandas as pd
import time
import random

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/*******************************************************************************
 * Copyright (c) 2015 Thomas Telkamp and Matthijs Kooijman
 * Copyright (c) 2018 Terry Moore, MCCI
 *
 * Permission is hereby granted, free of charge, to anyone
 * obtaining a copy of this document and accompanying files,
 * to do whatever they want with them without any restriction,
 * including, but not limited to, copying, modification and redistribution.
 * NO WARRANTY OF ANY KIND IS PROVIDED.
 *

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How to use

• Add the s3.py file to your project. As an example, put it inside a folder called publishers.
• The folder where s3.py resides must be a Python package, so add an empty __init__.py file to that folder also.
• Add the following configuration to your site.yaml and modify it as needed:

publisher:
    s3:
 type: publishers.s3.S3 # here, publishers is the folder where the s3.py file was placed

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/*
 * Simple printf for writing to an Arduino serial port.  Allows specifying Serial..Serial3.
 * 
 * const HardwareSerial&, the serial port to use (Serial..Serial3)
 * const char* fmt, the formatting string followed by the data to be formatted
 * 
 * int d = 65;
 * float f = 123.4567;
 * char* str = "Hello";
 * serial_printf(Serial, "<fmt>", d);

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#!/usr/bin/env python3

import requests
import json
import sys
from optparse import OptionParser


params = {
    "count": "10000",

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Module#recursive_const_get
class Module
  def recursive_const_get(name)
    name.to_s.split("::").inject(self) do |b, c|
      b.const_get(c)
    end
  end
end

#Example

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ExportPlot <- function(gplot, filename, width=2, height=1.5) {
    # Export plot in PDF and EPS.
    # Notice that A4: width=11.69, height=8.27
    ggsave(paste(filename, '.pdf', sep=""), gplot, width = width, height = height)
    postscript(file = paste(filename, '.eps', sep=""), width = width, height = height)
    print(gplot)
    dev.off()
    png(file = paste(filename, '_.png', sep=""), width = width * 100, height = height * 100)
    print(gplot)
    dev.off()

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require "imgscalr-lib" # https://github.com/thebuzzmedia/imgscalr
require "jruby"
java_import "javax.imageio.ImageIO"

ImageIO.write(
  com.thebuzzmedia.imgscalr.Scalr.resize(
    ImageIO.read(java.io.File.new("iss.jpg")), 
    250), 
  "jpg", 
  java.io.File.new("iss_new.jpg"))