ghamarian

from pynput import keyboard
import pyperclip
import time

# Initialize
with open("your_file.txt", "r") as f:
    lines = f.readlines()

# Remove newline characters
lines = [line.strip() for line in lines]

ghamarian

Torch objects used in learnpytorch.io website

name	type
torch.Tensor	<class 'torch._C._TensorMeta'>
torch.e	<class 'float'>
torch.t	<class 'builtin_function_or_method'>
torch.torch	<class 'module'>
torch.eig	<class 'function'>
torch.ne	<class 'builtin_function_or_method'>
torch.nn

ghamarian

# Torch objects used in learnpytorch.io website 
|name|type|
|----|----| 
|torch.Tensor|<class 'torch._C._TensorMeta'>|
|torch.e|<class 'float'>|
|torch.t|<class 'builtin_function_or_method'>|
|torch.torch|<class 'module'>|
|torch.eig|<class 'function'>|
|torch.ne|<class 'builtin_function_or_method'>|
|torch.nn|<class 'module'>|

ghamarian

#include <algorithm>
#include <concepts>
#include <functional>
#include <iostream>
#include <memory>
#include <vector>

template <typename T>
concept Drawable = requires(T t) {
                     { t.draw() } -> std::same_as<void>;

ghamarian

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib import style

fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)

xs = []
ys = []

ghamarian

import operator
from itertools import cycle
from numbers import Number

import numpy as np


def broadcast(a, b, op):

    if isinstance(a, Number) and isinstance(b, Number):

ghamarian

#include <Eigen/Dense>
#include <Eigen/IterativeLinearSolvers>

#include <algorithm>
#include <iostream>
#include <random>
#include <vector>

std::pair<Eigen::MatrixXf, Eigen::MatrixXf> GenerateData(size_t n) {
  std::vector<float> x_data(n);

ghamarian

// rangesFilterTransform.cpp

#include <iostream>
//#include <ranges>
#include <range/v3/all.hpp>
#include <vector>

int main() {

    std::vector<int> numbers = {1, 2, 3, 4, 5, 6};

ghamarian

  {
                "symbol": "ETHBTC",
                "status": "TRADING",
                "baseAsset": "ETH",
                "baseAssetPrecision": 8,
                "quoteAsset": "BTC",
                "quotePrecision": 8,
                "orderTypes": ["LIMIT", "MARKET"],
                "icebergAllowed": false,
                "filters": [

ghamarian

import itertools
import logging
import os
import os.path
import threading
from functools import partial
from typing import List, Sequence

import cv2
from math import log, pi