kirarpit

source ~/.git-prompt.sh

# bash prompt
export THIN_WHITE="\033[0;00m"
export BLACK="\033[0;30m"
export RED="\033[0;31m"
export GREEN="\033[0;32m"
export YELLOW="\033[0;33m"
export BLUE="\033[0;34m"
export GREY="\033[1;34m"

kirarpit

{
    "global": {
        "check_for_updates_on_startup": true,
        "show_in_menu_bar": true,
        "show_profile_name_in_menu_bar": false
    },
    "profiles": [
        {
            "complex_modifications": {
                "parameters": {

kirarpit

kirarpit

def root(x, n):
    if n == 1:
        return x

    if x == 1:
        return x

    high = x if x > 1 else 1
    low = 0
    mid = (high+low)/2

kirarpit

import numpy as np

def covariance(X):
    """
    Computes the covariance matrix of X
    :param X: Input data of shape (N, M) where N is the
              number of samples and M is the number of
              features
    :return: Output data of shape (M, M) where Output[i][j]
             is Cov(feature_i, feature_j)

kirarpit

import ray
from gym import spaces
from ray.rllib.env.multi_agent_env import MultiAgentEnv
import numpy as np
from ray.tune.registry import register_env
from ray.rllib.agents.registry import get_agent_class
from ray.rllib.rollout import rollout
import time
from ray import tune

kirarpit

;; row major matrix multiplication
(defun row_major_mm (a b c)
  (flet (
	 (col (mat i) (mapcar #'(lambda (row) (elt row i)) mat))
	 (row (mat i) (elt mat i))
        )

    	(loop for k from 0 below (length (row a 0))
	  do (loop for i from 0 below (length a)
			do (let ((temp (elt (elt a i) k)))

kirarpit

import csv
import numpy as np
import matplotlib.pyplot as plt

def read_file(filename):
    lines = []
    csvreader = csv.reader(open(filename))
    for line in csvreader:
        lines.append(line)

kirarpit

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 23 12:28:46 2018

@author: Arpit
"""
import random

'''

kirarpit

package c4;

import java.io.IOException;
import openingBook.Book;
import openingBook.BookSum;
import java.util.Scanner;
import java.io.File;
import java.io.FileWriter;
import java.io.BufferedWriter;