ehzawad

import timeit

def sum_possible1(amount, numbers):
    # Initialize a table of size (amount + 1) with all False values
    dp = [False] * (amount + 1)

    # Base case: It is possible to get a sum of 0 with no numbers
    dp[0] = True

    for num in numbers:

ehzawad

# Python DJango Session

def index(request):

    # check if there already exists a "tasks" key in our session
    if "tasks" not in request.session:

        request.session["tasks"] = []

    return render(request, "tasks/index.html", {

ehzawad

# syntax = docker/dockerfile:experimental
#
# NOTE: To build this you will need a docker version > 18.06 with
#       experimental enabled and DOCKER_BUILDKIT=1
#
#       If you do not use buildkit you are not going to have a good time
#
#       For reference:
#           https://docs.docker.com/develop/develop-images/build_enhancements/
ARG BASE_IMAGE=ubuntu:18.04

ehzawad

FROM ubuntu:22.04
LABEL maintainer="genuity systems LTD"
ARG DEBIAN_FRONTEND=noninteractive


# Avoid "delaying package configuration, since apt-utils is not installed"
RUN apt update && apt install --yes apt-utils


# Environment

ehzawad

from dataclasses import dataclass

@dataclass
class Person:
    name: str
    age: int
    city: str

    def __iter__(self):
        self._fields = [field.name for field in self.__dataclass_fields__.values()]

ehzawad

import pandas as pd

import time


import io
import json
from langdetect import detect
from snips_nlu import SnipsNLUEngine

ehzawad

for i in l:
  strr = '{' + '\r\n' + '  ' + '"text": ' + '"' + i + '"' +'\r\n' + '}'
  strr = strr  + ','
  print(strr)

ehzawad

import pandas as pd
import base64

unclean_data = pd.read_csv('/home/ehz/Downloads/email_date_dec22_Blank.csv')

# print(unclean_data)
# print(unclean_data.columns.tolist())
# print(unclean_data['Subject'])
# super_clean_data = unclean_data[[' Subject',' Customer-Email']].dropna(axis=0, how='any')
super_clean_data = unclean_data[' Customer-Email'].dropna(axis=0, how='any')

ehzawad

{
  "entities": {
    "taka":{
      "data": [
        {"value": "2 tk","synonyms": ["2 Taka"]}
      ],
      "use_synonyms": true,
      "automatically_extensible": true
    },
    "sms":{

ehzawad

{
    "entities":{
       "language":{
          "data":[
             {
                "value":"English",
                "synonyms":[
                   "English"
                ]
             },