amirsoroush

from dataclasses import dataclass
from time import perf_counter
from typing import NamedTuple


class Person:
    def __init__(self, first_name: str, last_name: str, age: int) -> None:
        self.first_name = first_name
        self.last_name = last_name
        self.age = age

ArnoldsK

#!/bin/bash

# Usage:
# ~$ sh reduce_video_file_size.sh [./input.mp4] [size mb] [./output.mp4]
# Parameters can be preset or set by providing none
# Input and output names must end with ".mp4"
# Can use Git Bash to run the script on Windows

display_help() {
  local FILE=`basename "$0"`

smsubrahmannian

import spacy

nlp = spacy.load('en') # loading the language model 
data = pd.read_feather('data/preprocessed_data') # reading a pandas dataframe which is stored as a feather file

def clean_up(text):  # clean up your text and generate list of words for each document. 
    removal=['ADV','PRON','CCONJ','PUNCT','PART','DET','ADP','SPACE']
    text_out = []
    doc= nlp(text)
    for token in doc: