dayjaby

#include <stdio.h>
#include <switch.hpp>
 
// Default option shall be one higher than the last
enum { ADD = 0, SUB = 1, MUL = 2, DIV = 3, MOD = 4, DEFAULT = 5 };
 
template <int Operation>
struct interpreter {
    static inline int run(const int x, const int y);
};

dayjaby

let $content := file:read-text-lines("webapp/examples.utf")
let $n := count($content)
return 
<sentences>{
for $i in (1 to $n)
where $i mod 2 = 1
let $tokens := fn:tokenize(substring($content[$i],4),"#|\t")
return 
  <record>
    <jpn>{$tokens[1]}</jpn>

dayjaby

file:write(
  "data.xml",
  csv:parse(fetch:text("data.csv"),
  map{"separator":"tab"}))

dayjaby

let $content := file:read-text-lines("webapp/examples.utf")
let $n := count($content)
for $i in (1 to $n)
where $i mod 2 = 1
return <record><jpn>{substring(substring-before($content[$i],"	"),4)}</jpn><eng>{substring-before(substring-after($content[$i],"	"),"#")}</eng></record>

dayjaby

let $db := db:open("sentences")//sentences/record
let $n := random:integer(count($db))+1
return $db[$n]

dayjaby

def calculate_distance(pt1, pt2):
    lat1, lon1 = pt1
    lat2, lon2 = pt2
    r = 6371000.0

    dlat = math.radians(lat2 - lat1)
    dlon = math.radians(lon2 - lon1)
    a = math.sin(dlat/2)**2
    a +=math.cos(math.radians(lat1))*math.cos(math.radians(lat2))*math.sin(dlon/2)**2
    c = 2*math.atan2(math.sqrt(a), math.sqrt(1-a))

dayjaby

def calculate_heading(pt1, pt2):
    lat1, lon1 = pt1
    lat2, lon2 = pt2
    y = math.sin(math.radians(lon2-lon1)) * math.cos(math.radians(lat2))
    x = math.cos(math.radians(lat1))*math.sin(math.radians(lat2))
    x-= math.sin(math.radians(lat1))*math.cos(math.radians(lat2))*math.cos(math.radians(lon2-lon1))
    return math.degrees(math.atan2(y, x))

dayjaby

def distance_in_direction(origin, distance, direction):
    lat1, lon1 = origin
    lat1 = math.radians(lat1)
    lon1 = math.radians(lon1)
    r = 6371000.0
    lat2 = math.asin(math.sin(lat1)*math.cos(distance/r)+math.cos(lat1)*math.sin(distance/r)*math.cos(math.radians(direction)))
    lon2 = lon1 + math.atan2(math.sin(direction)*math.sin(distance/r)*math.cos(lat1), math.cos(distance/r)-math.sin(lat1)*math.sin(lat2))
    return math.degrees(lat2), math.degrees(lon2)

dayjaby

r'''
==================================
Kalman Filter tracking a sine wave
==================================

This example shows how to use the Kalman Filter for state estimation.

In this example, we generate a fake target trajectory using a sine wave.
Instead of observing those positions exactly, we observe the position plus some
random noise.  We then use a Kalman Filter to estimate the velocity of the

dayjaby

libqt4:
  debian: [libqtcore4]
python-neo4j:
  debian:
    pip:
      packages: [neo4j]
  ubuntu:
    pip:
      packages: [neo4j]