mcnakhaee

from math import floor, ceil
from typing import AnyStr


ASCII_TO_INT: dict = {i.to_bytes(1, 'big'): i for i in range(256)}
INT_TO_ASCII: dict = {i: b for b, i in ASCII_TO_INT.items()}


def compress(data: AnyStr) -> bytes:
    if isinstance(data, str):

mcnakhaee

# Heavily inspired by https://github.com/jimhester/jimhester.com/blob/433629b9ecfdc8861022492ae77438cabb5273f3/content/home/graph.R
library(tidyverse)
library(rvest)
library(echarts4r)
library(lubridate)
github_data <- function(from = to - years(1), to = today(), user = "mcnakhaee") {
  html <- xml2::read_html(str_glue("https://github.com/users/{user}/contributions?from={from}&to={to}&tab=overview"))

  calendar <- html_node(html, ".js-calendar-graph-svg")
  calendar_days <- html_nodes(calendar, "rect")

mcnakhaee

plot_interactive_graph <- function(data){
graph_edges_tbl <- data %>%
rename(from = source, to = target)

ggraph_df <-  graph_edges_tbl  %>%  
    as_tbl_graph(directed  = FALSE) %>%
      activate(nodes) %>%
      mutate(
        centrality_degree = centrality_degree(),

mcnakhaee

  data %>% 
 count(from = item1,to = item2) %>% 
  select(from,to,n) %>% 
  as_tbl_graph(directed = FALSE) %>% 
  ggraph(layout = "kk") +
  geom_edge_link(aes(edge_width = n,alpha = n,colour = n)) +
  geom_node_label(aes(label = name),size = 4,repel =  TRUE,family = 'Rubik') +
  geom_node_point(size = 5)
  

mcnakhaee

"""
We implement additional hyperparameter optimization methods not present in
https://scikit-optimize.github.io/.

Gist: https://gist.github.com/Deepblue129/2c5fae9daf0529ed589018c6353c9f7b
"""

import math
import logging
import random

mcnakhaee

mcnakhaee

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python Basics with Numpy (optional assignment)\n",
    "\n",
    "Welcome to your first assignment. This exercise gives you a brief introduction to Python. Even if you've used Python before, this will help familiarize you with functions we'll need.  \n",
    "\n",

mcnakhaee

plt.xlabel("یک محور همینجوری",fontsize = 15)
plt.ylabel("یک محور دیگه همینجوری",fontsize = 15)
plt.title("یک نمودار همینجوری" , fontsize = 20)
plt.show()