farzadhallaji

### Keybase proof

I hereby claim:

  * I am farzadhallaji on github.
  * I am farzadhallaji (https://keybase.io/farzadhallaji) on keybase.
  * I have a public key ASCV8BMpAu47N-Ea8q8vlgLrJDiwUitIiNktf_EDl3x8OQo

To claim this, I am signing this object:

farzadhallaji

import requests
import json

auth_token = "eyJhbGciOiJIUzUxMiIsImlhdCI6MTU1MjM3MTg3OCwiZXhwIjoxNTUyMzc1NDc4fQ.eyJlbWFpbCI6Im1vaGFtYWQuYWRrNzhAZ21haWwuY29tIiwicHVibGljX2tleSI6IjAyNzk0NGYwOWY3ZDNiYzk2NTkyNWFhZDBmMDdjNDkxZDY4MmU2YjgxOWNlZTY1Yjg5MzY2NzA4NDJjNDIzY2FmMyJ9.vioLHca_WRfq1QK51lxb_WGEOcSxuq9BPkyyz233vM_mVMBptEHOuwui2l9PeCjw86BBFwXzUmvshhn5_bBlZw"
urlP = 'http://212.24.96.236:8040/'

def signup(email,passw,label,des) :
	headers = {'Content-type': 'application/json', 'Accept': 'text/plain' , 'Authorization': 'Bearer ' + auth_token}
	path = "accounts"	
	payload = {   'label'  : label

farzadhallaji

from google.colab import drive
drive.mount("/content/drive")
import os

path = '/content/drive/My Drive/path_to_folder/' #replace path_to_folder with your desired folder path
os.chdir(path)

farzadhallaji

!wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1704-9-0-local_9.0.176-1_amd64-deb
!dpkg -i cuda-repo-ubuntu1704-9-0-local_9.0.176-1_amd64-deb
!ls /var/cuda-repo-9-0-local | grep .pub
!apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
!apt-get update
!sudo apt-get install cuda-9.0
!pip install thundersvm-cpu

farzadhallaji

import re

def read_dot_dat_file(path):
    datContent = [i.strip().split() for i in open(path).readlines()]
    r = re.compile("@inputs.*")
    _at_data = datContent.index(['@data'])
    assert datContent[0][0] == '@relation'
    assert datContent[_at_data-1][0] == '@outputs'
    assert datContent[_at_data-2][0] == '@inputs'
    assert len(datContent[_at_data-3][2:]) == 2   # Two Class

farzadhallaji

from scipy.stats import hmean 


# https://stats.stackexchange.com/questions/7471/can-the-standard-deviation-be-calculated-for-harmonic-mean
harmonic_var = lambda S : (np.power(S,-1).var())/(len(S)*np.power(np.power(S,-1).mean(),4))

# example
import numpy as np
np.random.seed(100)
s = np.random.dirichlet((1,5),10)

farzadhallaji

!pip uninstall numpy -y
!pip install numpy==1.24.2

!wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
!tar -xzvf ta-lib-0.4.0-src.tar.gz
%cd ta-lib
!./configure --prefix=/usr
!make
!make install
%cd ..

farzadhallaji

import os
from moviepy.editor import VideoFileClip

folder_path = '/home/ri/Desktop/TFL/ahmadian'  # Replace with the path to your folder
total_duration = 0

for file in os.listdir(folder_path):
    if file.endswith('.webm'):  # Adjust the file extension if necessary
        file_path = os.path.join(folder_path, file)
        video = VideoFileClip(file_path)

farzadhallaji

#!/bin/bash

# Check if ffmpeg is installed
command -v ffmpeg >/dev/null 2>&1 || { echo >&2 "ffmpeg is required but it's not installed. Exiting."; exit 1; }

# Check for valid number of arguments
if [ "$#" -ne 4 ]; then
    echo "Usage: $0 input.mp4 start_time end_time output_base_path"
    echo "Time format: HH:MM:SS or MM:SS"
    exit 1

farzadhallaji

# -*- coding: utf-8 -*-
"""vocab.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1GNxF9QyJc8hL3KgVKB8t4GPgH8sGNTci
"""

# ! pip install google-translate-for-goldendict