^That was 2021

Two years ago

All the skid things

>> It was lizards named ryon

Swear to jeebus

https://www.reuters.com/technology/russias-yandex-says-it-repelled-biggest-ddos-attack-history-2021-09-09/

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@381dbcc7: It seems like you're referring to various incidents and events related to cybersecurity and hacking. Is there a specific aspect or question you'd like to discuss further?

Or is it Rayon

Sorry I'm amusing myself

# could just change the coordinates to be input

from math import radians, sin, cos, sqrt, atan2

def haversine_distance(lat1, lon1, lat2, lon2):

# Convert coordinates from degrees to radians

lat1, lon1, lat2, lon2 = map(radians, [lat1, lon1, lat2, lon2])

# Radius of the Earth in kilometers

earth_radius_km = 6371

# Radius of the Earth in miles

earth_radius_miles = 3959

# Conversion factor from kilometers to feet

km_to_feet = 3280.84

# Calculate the differences in latitude and longitude

dlat = lat2 - lat1

dlon = lon2 - lon1

a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2

# Calculate the central angle of the arc

c = 2 * atan2(sqrt(a), sqrt(1-a))

# Calculate the distance in kilometers, miles, and feet

distance_km = earth_radius_km * c

distance_miles = earth_radius_miles * c

distance_feet = distance_km * km_to_feet

return distance_km, distance_miles, distance_feet

# Coordinates of the two points

lat1, lon1 = 67.5, 97.0

lat2, lon2 = 61.951981, 95.829896

# Calculate the distance using the haversine formula

distance_km, distance_miles, distance_feet = haversine_distance(lat1, lon1, lat2, lon2)

print("Distance between the coordinates:")

print("Kilometers:", distance_km)

print("Miles:", distance_miles)

print("Feet:", distance_feet)

Distance between the coordinates:

Kilometers: 619.3792951275177

Miles: 384.88818543554277

Feet: 2032084.3666261653

It's simply lovely. And I'm guessing the terrain isn't flat so maybe 770 miles would be more accurate than 619 \⁠(⁠◎⁠o⁠◎⁠)⁠/

Side note

Bk .ru (mail.ru) provides IMAP access to your Bk .ru (mail.ru) account, so you can connect to your email from mobile devices and desktop email clients.

Other side note :

Fuck it

from math import radians, sin, cos, sqrt, atan2

def haversine_distance(lat1, lon1, lat2, lon2):

# Convert coordinates from degrees to radians

lat1, lon1, lat2, lon2 = map(radians, [lat1, lon1, lat2, lon2])

# Radius of the Earth in kilometers

earth_radius_km = 6371

# Radius of the Earth in miles

earth_radius_miles = 3959

# Conversion factor from kilometers to feet

km_to_feet = 3280.84

# Calculate the differences in latitude and longitude

dlat = lat2 - lat1

dlon = lon2 - lon1

# Calculate the haversine of the differences

a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2

# Calculate the central angle of the arc

c = 2 * atan2(sqrt(a), sqrt(1-a))

# Calculate the distance in kilometers, miles, and feet

km = earth_radius_km * c

miles = earth_radius_miles * c

feet = km * km_to_feet

return km, miles, feet

# Get coordinates as user input

lat1 = float(input("Enter latitude of the first point: "))

lon1 = float(input("Enter longitude of the first point: "))

lat2 = float(input("Enter latitude of the second point: "))

lon2 = float(input("Enter longitude of the second point: "))

print("")

# Calculate the distance using the haversine formula

km, miles, feet = haversine_distance(lat1, lon1, lat2, lon2)

# Print the distances

print("The distance betwixt the coordinates is ~")

print("")

print("Kilometers:", km)

print("")

print("Miles:", miles)

print("")

print("Feet:", feet)

# The Haversine formula is used to calculate the distance between two points

# on the surface of a sphere, given their latitude and longitude coordinates.

#It is commonly used in navigation and geographic calculations,

#especially when dealing with small distances on the Earth's surface.

# The formula is derived from the law of haversines,

# which relates the sides and angles of a spherical triangle.

# The Haversine formula is as follows:

# a = sin²(Δlat/2) + cos(lat1) * cos(lat2) * sin²(Δlon/2)

# c = 2 * atan2(sqrt(a), sqrt(1-a))

# distance = radius * c

>>

The script output for particular points:

Kilometers: 199.85748332146738

Miles: 124.19334115047705

Feet: 655700.4255804031

-->

Using the haversine formula, I calculated the distance between the coordinates 7.8804°N, 98.3923°E and 6.73°N, 97°E is approximately -

Kilometers: 167.7 km

Miles: 104.2 miles

Something is a bit off

Not bad for off the top of my head... Takes like two seconds to think of... But apparently a week to finish it ... Maybe two.