ayman

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; Terminal notifier 
;; requires 'sudo port install terminal-notifier'
;; stolen from erc-notifier
;;
;; (terminal-notifier-notify "Emacs notification"
;;                           "Something amusing happened")

(defvar terminal-notifier-command
  (executable-find "terminal-notifier")

ayman

;;; copilot-helper --- Just helping run copilot safely.

;;; Commentary:
;; Reworking of https://github.com/zerolfx/copilot.el and
;; https://robert.kra.hn/posts/2023-02-22-copilot-emacs-setup/

;;; Code:

(use-package copilot
  :straight (:host github :repo "zerolfx/copilot.el" :files ("dist" "*.el"))

ayman

## Compute the distances between all US Zipcodes.
## To save time we just compute the diagonal and use multiple cores.
require(parallel)
library(geosphere)
library(MASS)
library(zipcode)
data(zipcode)
## Uncode for testing
## zipcode <- zipcode[1:10,]
zips.num = dim(zipcode)[1]

ayman

from adafruit_ble import BLERadio

# from adafruit_ble.advertising import Advertisement
# from adafruit_ble.advertising.standard import ProvideServicesAdvertisement
 
found = set()
scan_responses = set()

running = True
count = 0

ayman

from bluepy import btle
import struct


class LumeCube:
    def __init__(self, mac):
        self.mac = mac
        self.SERVICE_UUID = "33826A4C-486A-11E4-A545-022807469BF0"
        self.LIGHT_CHARACTERISTIC = "33826A4D-486A-11E4-A545-022807469BF0"
        self.LIGHT_ON = struct.pack('>L', 0xFCA16400)

ayman

# Install brew from https://brew.sh/ then install dfu-util 
brew install dfu-util
# OR install dfu-util from http://dfu-util.sourceforge.net/
# 
# then plug in and power on your device holding the D and Down buttons
# now find your device
dfu-util -l
# Verify that alt=0 is name="@Internal Flash..."
dfu-util -a 0 -D Midicommander_line6HX3x_V5.dfu 
# Wait for it to finish...you should be good...

ayman

library("ggplot2")
dataUrl <- "https://covidtracking.com/api/states/daily.csv"
c <- read.csv(dataUrl)
c$date <- as.Date(as.character(c$date), format = "%Y%m%d")
c_tmp <- c[order(c[c$date == max(c$date), ]$total, decreasing = TRUE), ]
states <- c_tmp[c_tmp$date == max(c_tmp$date), ]$state[1:10]
c[is.na(c$pending), ]$pending <- 0
c$ratio <- (c$positive / (c$total - c$pending))
c <- c[c$state %in% states, ]
g <- ggplot(c, aes(x = date, y = ratio))

ayman

#!/usr/bin/env python
# This is a simple Twitter bot which listens to a track stream for a comma delimited
# list of terms/tags (PRIMARY_TRACK_LIST).  From this stream, it will retweet any 
# tweet that matches the secondary regex (SECONDARY_REGEX_FILTER).
#
# This example is a #Haiti & #Chile Twitter stream listener for TweakTheTweet syntax.
#
# Requires Python 2.6
# Requires Tweepy http://github.com/joshthecoder/tweepy
#

ayman

f.name <- "file.csv"
f.command <- paste("wc -l",
                   f.name,
                   "| cut -d \" \" -f 2")
f.rows <- as.numeric(system(f.command, intern = TRUE))
f <- read.csv(f.name,
              nrows=f.rows,
              col.names=c("user", "phone", "total", "percent"),
              colClasses=c("numeric","numeric","numeric","numeric"),
              header=FALSE)

ayman

## From: https://tensorflow.rstudio.com/keras/
library(keras)

mnist <- dataset_mnist()
x_train <- mnist$train$x
y_train <- mnist$train$y
x_test <- mnist$test$x
y_test <- mnist$test$y

## reshape