| #!/usr/bin/env python3 | |
| from torch.nn import functional as F | |
| import matplotlib.pyplot as plt | |
| from torchvision import models | |
| import torchvision | |
| import random | |
| import torch | |
| import json |
Patches cli.main() to bypass error on unknown kwarg aliases during subparser initialization. Stopgap solution, not a real fix.
For dvc==3.48.1
Patch using curl https://gist.githubusercontent.com/jinensetpal/50ec16ff9a4d19ab7beb72c72254c248/raw/c667a4df0e20411c11386695bf1e051e1118c522/parser.py > $CONDA_PREFIX/lib/python3.11/site-packages/dvc/cli/parser.py
Commands:
| #!/usr/bin/env python3 | |
| import numpy as np | |
| from scipy import optimize | |
| from astropy import modelling | |
| import matplotlib.pyplot as plt | |
| def gaussian(x, amplitude, mean, stddev): | |
| return amplitude * np.exp(-((x - mean) / 4 / stddev)**2) |
| n = 19 | |
| list = [] | |
| n2 = n | |
| while len(str(n2)) < 6: | |
| n3 = str(n2) + "/" + str(int(n2/n)) | |
| if set(j for j in n3 if n3.count(j) > 1) == set(): | |
| if len(str(n3)) == 10 and "0" not in str(n3): | |
| list.append(n3) | |
| elif len(str(n3)) == 11: |
| let res = document.createElement("script"); | |
| res.onload = function () { | |
| let pdf = new jsPDF(); | |
| let elements = document.getElementsByTagName("img"); | |
| for (let i in elements) { | |
| let img = elements[i]; | |
| console.log("add img ", img); | |
| if (!/^blob:/.test(img.src)) { |
| from selenium import webdriver | |
| from selenium.webdriver.common.by import By | |
| import sqlite3 | |
| import time | |
| conn = sqlite3.connect('Stockdata.db') | |
| c = conn.cursor() | |
| c.execute('CREATE TABLE IF NOT EXISTS stockdata(price FLOAT, change FLOAT)') ###############Table Creation#################### |