eabase

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#----------------------------------------------------------------------
# lunar-lander-3.py - A demo of AI learning for landing physics on the moon, using pygame. 
#----------------------------------------------------------
import os, sys
import random, tempfile
import time
import numpy as np
import winsound

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/*  main.css */

header, footer {
    font: 14px Arial, sans-serif;
    padding: 8px;
    color: white;
    background-color: black;
    clear: left;
    text-align: left;
}

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#!/usr/bin/env python -u
# -*- coding: UTF-8 -*-
#------------------------------------------------------------------------------
#  Filename:    fancycompleter.py
#  Author:      Antonio Cuni
#  Mods:        EABASE
#  Last:        2022-01-30
#  License:     BSD     (from: setup.py in original repo)
# 
#------------------------------------------------------------------------------

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#!/bin/bash
#----------------------------------------------------------------------
#	Author:		EABASE
#	Date:		2022-01-16
#	Version:	1.1
#----------------------------------------------------------------------
#	History:
#		The original file was taken from iterm2 [1], and later modified
#		by EABASE in [2]. 
#

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# 
# To resolve issue #903 in yfinance
# https://github.com/ranaroussi/yfinance/issues/903
#----------------------------------------------------------
# Date:			2021-12-19
# 
# The PEG Ratio Yahoo Finance Paths:
#
# The working curl:
#	curl -s https://finance.yahoo.com/quote/{FE}/key-statistics?p={FE} | grep "root.App.main = " | sed -e "s/root.App.main = //" |sed 's/.$//'> dafuck_ok.json

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//---------------------------------------------------------------------
//  Name:       HelloSDL2.cpp
//  Author:     EAML
//  Date:       2021-05-16
// 
//  Description:    
//      A minimal PoC for producing a native SDL2 Windows app that can
//      be ran from either Windows Explorer or from Powershell console.
//      It's designed to use minimal command line, compiler options, 
//      and dependencies... It will display a gray window for 2 sec's.

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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

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# References :
# - https://stackoverflow.com/questions/61776425/logic-for-real-time-algo-trading-expert

import pytz
import pandas as pd
import MetaTrader5 as mt5
import time
from datetime import datetime
from threading import Timer

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# Basic pip search function provided by:
# https://pypi.org/project/pip-search/
import sys
from urllib import request
from tabulate import tabulate

def search () :

	f = request.urlopen('https://pypi.org/search/?q=%s' % sys.argv[1])
	raw_text=str(f.read())

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Install dlib and face_recognition on a Raspberry Pi

Instructions tested with a Raspberry Pi 2 with an 8GB memory card. Probably also works fine on a Raspberry Pi 3.

Steps

Download the latest Raspbian Jessie Light image. Earlier versions of Raspbian won't work.

Write it to a memory card using Etcher, put the memory card in the RPi and boot it up.