kirshiyin89

from pywebio.output import *
from pywebio.input import * 
from pip import _internal
from pip._internal.utils.misc import get_installed_distributions
import time
import asyncio

put_markdown('Pip Package Manager')

installed_packages = get_installed_distributions()

kirshiyin89

from pywebio.output import *
from pywebio.input import * 
from pip import _internal
from pip._internal.utils.misc import get_installed_distributions
import time

put_markdown('Pip Package Manager')

installed_packages = get_installed_distributions()
installed_packages_set = { package for package in ["%s==%s" % (i.key, i.version)

kirshiyin89

from wordcloud import WordCloud
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image 
import requests
import csv

file_ob = open(r"feedback.csv")

# read the feedback file

kirshiyin89

from wordcloud import WordCloud
import matplotlib.pyplot as plt
import csv

file_ob = open(r"feedback.csv")

# read the feedback file
reader_ob = csv.reader(file_ob)
reader_contents = list(reader_ob)
words = ""

kirshiyin89

import 'dart:async';
import 'package:http/http.dart' as http;
import 'dart:convert' as convert;

class BackendService {
  static Future<List<Map<String, String>>> getSuggestions(String query) async {
    if (query.isEmpty && query.length < 3) {
      print('Query needs to be at least 3 chars');
      return Future.value([]);
    }

kirshiyin89

import 'package:flutter/material.dart';
import 'package:flutter_typeahead/flutter_typeahead.dart';
import 'data.dart';

class MyMaterialApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter Datamuse Autocomplete Demo',
      home: MyHomePage(),

kirshiyin89

import qrcode
from csv import DictReader
  
with open('herbs.csv', 'r') as read_obj:
    csv_dict_reader = DictReader(read_obj)
    for row in csv_dict_reader:
        print(row['Name'], row['Details'])
        data = row['Details']
        qr = qrcode.QRCode(
    version=1,

kirshiyin89

import qrcode
qr = qrcode.QRCode(
    version=1,
    error_correction=qrcode.constants.ERROR_CORRECT_L,
    box_size=5,
    border=4,
)
data = 'Peppermint. Uses: indigestion, nausea. Steep time: 5-10 mins.'
qr.add_data(data)
qr.make(fit=True)

kirshiyin89

image-similarity-measures --query_image=orig.jpeg --data_image=test.jpeg

kirshiyin89

The difference between  dataset/red_pear.jpg  and the original image is : 
 0.8827639040117994
The difference between  dataset/cherry.jpg  and the original image is : 
 0.8542221298727691
The difference between  dataset/green_apple.jpg  and the original image is : 
 0.9379929447852137
The closest value:  0.9379929447852137
######################################################################
The difference between  dataset/red_pear.jpg  and the original image is : 
 0.018479494