| title = 'Boom Hunter Pro' | |
| stitle = 'Boom Pro' | |
| version = ' 1.022' | |
| indicator(title=title + version, shorttitle=stitle, overlay=false, timeframe='') | |
| theme = 'Dark' //, "Theme:", options=["Dark", "Light"], group = "Main Settings", inline = "main") | |
| showfib = input.bool(defval=false, title='Show Fibonacci Lines?', group='Main Settings', inline='main2') | |
| showentry = input.bool(defval=true, title='Show Entry and Exit Points?', group='Main Settings') | |
| square = input.bool(true, title='Square Line?', group='Main Settings') | |
| showdboom = input.bool(true, title='Show Downward Boom Line?', group='Main Settings') | |
| showlongs = input.bool(true, title='Show Long Entries?', group='Main Settings') |
| // ==UserScript== | |
| // @name Best algorithm to play Multiply odd 1.5 win chance 63% (NOT FOR LOW BALANCE) | |
| // @description Play with higher chance , READ FIRST | |
| // @include https://freebitco.in/* | |
| // @copyright 2020, makaaymen@gmail.com | |
| // @namespace AnarchyHS | |
| // ==/UserScript== | |
| bconfig = { |
Latest revision: 2021-12-05.
Tested on Ubuntu 18.04 Docker container. The Dockerfile is a single line FROM ubuntu:18.04. Alternatively, you can simply run docker run -it ubuntu:18.04 bash.
NOTE: stopping services didn't work for me for some reason. That's why there is kill $(pidof <service name>) after each failed service <service name> stop to kill it.
| import urllib | |
| from wordpress_xmlrpc import Client, WordPressPost | |
| from wordpress_xmlrpc.methods import posts | |
| import xmlrpclib | |
| from wordpress_xmlrpc.compat import xmlrpc_client | |
| from wordpress_xmlrpc.methods import media, posts | |
| import os | |
| ########################### Read Me First ############################### | |
| ''' | |
| ------------------------------------------In DETAIL-------------------------------- |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| rawData = np.loadtxt("inputData.dat") | |
| x = rawData.transpose()[0] | |
| y = rawData.transpose()[1] | |
| xnew = np.loadtxt("x.dat") | |
| ynew = np.zeros(len(xnew)) |
| import numpy as np | |
| x = np.linspace(0,np.pi/2, 100) | |
| y = np.zeros(len(x)) | |
| x1 = np.zeros(100) | |
| for i in range(len(x)): | |
| y[i] = np.sin(x[i]) | |
| print(y) |
| import numpy as numpy | |
| """This program takes a series | |
| and checks for convergence value | |
| of 1/n!""" | |
| currSum = 1.0 | |
| t = 1e-3 # tolerance | |
| prevSum = 0 | |
| perDiff = 1.0 | |
| n = 0 | |
| seriesTerm = 1.0 |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| xmin = 0 #xmin and xmax can be changed for different intervals | |
| xmax = 2*(np.pi) #np.pi is the value of pi in numpy | |
| N = 201 | |
| x = np.linspace(xmin,xmax,N) | |
| y = np.zeros(len(x)) |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| #Importing tools required | |
| rawData = np.loadtxt("data.dat") | |
| x=rawData.transpose()[0] | |
| y=rawData.transpose()[1] | |
| #Reads input from data.dat file and transposes columns into rows | |