nvbn

import React from "react";
import Counter from "./Counter";

const App = () => {
  return (
    <div className="App">
      <Counter initialCount={100} />
    </div>
  );
};

nvbn

nvbn

from __future__ import annotations

import array
import asyncio
from bisect import bisect_left
from dataclasses import dataclass
import logging
import os
import socket
import time

nvbn

import pyparsing as pp


token = pp.Word(pp.alphanums + '_-.')

command = pp.OneOrMore(token)

separators = ['1>>', '2>>', '>>', '1>', '2>', '>', '<', '||',
              '|', '&&', '&', ';']
separator = pp.oneOf(separators)

nvbn

import json
from datetime import datetime
from collections import namedtuple
from itertools import groupby, takewhile
from statistics import median, mean
from matplotlib import pyplot
import numpy as np
from geopy.distance import geodesic

Point = namedtuple('Point', 'latitude, longitude, datetime')

nvbn

use crate::utils::{read_input, Result};

#[derive(Clone, Copy)]
pub enum OperatorType {
    Sum,
    Product,
    Min,
    Max,
    Gt,
    Lt,

nvbn

nvbn

(ns bf.core)

(defmulti run-symbol
  (fn [symbol _] symbol))

(defmethod run-symbol \+
  [_ {:keys [pos] :as state}]
  (update-in state [:stack pos] inc))

(defmethod run-symbol \-

nvbn

from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import praw

options = dict(client_id='',
               client_secret='',
               user_agent='')

nvbn

from pathlib import Path
from typing import NamedTuple
from collections import defaultdict
from datetime import timedelta
from subprocess import call
from pycaption.srt import SRTReader
import lxml.html
import tensorflow as tf
import tensorflow_hub as hub
import numpy as np