smrati

Multiple SSH Keys settings for different github account

create different ssh key according the article Mac Set-Up Git

$ ssh-keygen -t rsa -C "your_email@youremail.com"

	import xmltodict
	import json
	import os # Import os module

	def read_xml_to_dict(file_path):
	"""
	Reads an XML file and converts it into a Python dictionary.

	Args:
	file_path (str): The path to the XML file.

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Advanced KG Prompt Generator</title>
	<style>
	:root {
	--primary: #667eea;

	from langchain_community.embeddings import OllamaEmbeddings
	import faiss
	import numpy as np

	# Initialize Ollama embeddings model
	embedding_model = (
	OllamaEmbeddings(model="llama3.2:3b")
	)

	# Sample sentences

	import numpy as np
	import re
	from sklearn.metrics.pairwise import cosine_similarity


	# Load GloVe embeddings
	def load_glove_embeddings(glove_file):
	embeddings_index = {}
	with open(glove_file, 'r', encoding='utf-8') as f:
	for line in f:

	class wordle:
	def __init__(self, input_data_path):
	self.input_data_path = input_data_path

	def get_path(self):
	print(self.input_data_path)

	def get_words_by_len(self, word_length):
	"""
	filter words of specific length

	# -- coding: utf-8 --
	import numpy as np
	import os
	import cv2
	import pandas as pd

	from sklearn.cross_validation import train_test_split
	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D

	import numpy as np
	from keras import backend as K
	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.preprocessing.image import ImageDataGenerator
	from sklearn.metrics import classification_report, confusion_matrix

	#Start
	train_data_path = 'F://data//Train'

	import mechanicalsoup

	user_agent_string = 'Mozilla/5.0 (X11; CrOS x86_64 8172.45.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.64 Safari/537.36'
	browser = mechanicalsoup.StatefulBrowser(user_agent=user_agent_string, )
	browser.open('https://ebootcamp.dev')
	headings_list = browser.get_current_page().find_all('h3')

	for heading in headings_list:
	print(heading.text)