simrit1

#########################
# NumPy Raster Calculator
# -----------------------
# Purpose: The purpose of this Python script is to use ArcGIS's arcpy package along with the Python library numpy to convert Landsat thermal bands from digital numbers to Top of Atmosphere (ToA) brightness-temperature values that provide pixel temperature in degrees Celsius.
# Purpose #2: The second purpose is that it allows some work to be done on rasters without the need for the Spatial Analyst extension
#
# Requirements: ESRI ArcGIS arcpy; Python 2.7.x; numpy; Landsat data
# ArcPy takes care of the dirty work of conversions and geospatial stuff and I have ArcGIS installed, hence it's use.
#########################

simrit1

simrit1

Libraries for a modern geospatial workflow

Distribution

• Writing, Running, and Distributing
• Tox driven development
• Publishing python libraries

Numpy

simrit1

[package]
name = "snake_game"
version = "0.1.0"
authors = ["youcodethings <spyr1014@gmail.com>"]

[dependencies]
piston = "0.36.0"
piston2d-graphics = "0.26.0"
pistoncore-glutin_window = "0.45.0"
piston2d-opengl_graphics = "0.52.0"

simrit1

# complex arith for programming with other languages
# - required functions: exp(f), log(f), sin(f), cos(f), atan2(f), pow(f1, f2)
import math


# [equality for complex]
def ceq(a, b):
    return a.real == b.real and a.imag == b.imag

# [add, sub, mul for complex]

simrit1

import asyncio
from tortoise import Tortoise, run_async, connections
from tortoise.models import Model
from tortoise import fields
import random
import time
class Employees(Model):
    ID = fields.IntField(pk=True)
    NAME = fields.TextField()
    AGE = fields.IntField()

simrit1

#################
## PREPARATION ##
#################

# Import modules
import sys
# If your authentification script is not in the project directory
# append its folder to sys.path
sys.path.append("../spotify_api_web_app")
import authorization

simrit1

while (True):
    vp.rate(500)
    
 	#Calculte the force using gravitationalForce function
    star.force = gravitationalForce(star,planet1)+gravitationalForce(star,planet2)+gravitationalForce(star,planet3)
    planet1.force = gravitationalForce(planet1,star)+gravitationalForce(planet1,planet2)+gravitationalForce(planet1,planet3)
    planet2.force = gravitationalForce(planet2,star)+gravitationalForce(planet2,planet1)+gravitationalForce(planet2,planet3)
    planet3.force = gravitationalForce(planet3,star)+gravitationalForce(planet3,planet1)+gravitationalForce(planet3,planet2)

    #Update momentum, position and time

simrit1

#Travel times between each crop for each direction
right = [0.42666667, 0.55466667, 0.56533333, 0.576, 0.576, 0.448, 0.59733333, 0.576, 0.56533333, 0.46933333, 0.58666667]
left = [0.71466667, 0.55466667, 0.69333333, 0.59733333, 0.69333333, 0.576, 0.71466667, 0.58666667, 0.576, 0.69333333, 0.576]
up = [0.58666667, 0.45866667, 0.59733333, 0.58666667, 0.576, 0.58666667, 0.46933333, 0.576, 0.55466667]
down = [0.59733333, 0.576, 0.58666667, 0.59733333, 0.45866667, 0.576, 0.56533333, 0.576, 0.448]

#Set arbitrary starting vertex and initialise w(s, s) as 0 and direction as empty in Q
s = 30
Q = np.array([[s, None, 0]])

simrit1

import numpy as np

def crossEntropy(Y, P):
    Y = np.float_(Y)
    P = np.float_(P)
    CE = -np.sum(Y*np.log(P) + (1-Y)*np.log(1-P))
    return CE