ShriyaSami

CREATE TABLE organisation (
	organisation_id int NOT NULL auto_increment,
    	organisation_name VARCHAR(150) NOT NULL,
    	PRIMARY KEY (organisation_id)
);
		
CREATE TABLE meeting (
	meeting_id VARCHAR(20) NOT NULL,
    	meeting_title VARCHAR(50) NOT NULL,
    	meeting_date DATE NOT NULL,

ShriyaSami

class CameraEvent: 
    def __init__(self):
        pass

class StartCameraMove(CameraEvent):
     def __init__(self):
         pass

class StopCameraMove(CameraEvent):
     def __init__(self):

ShriyaSami

import pm4py

def calculate_alignments(event_log, net, initial_marking, final_marking):
  """ Performs alignment-based conformance checking on the given event log using PM4PY's alignment algorithm.
  It returns alignment diagnostics and a fitness value which quantifies how well the petri net explains the event log.

    Parameters:
    event_log : pm4py.objects.log.obj.EventLog
        The event log used for alignment-based conformance checking.
    net : pm4py.objects.petri_net.petrinet.PetriNet

ShriyaSami

import pandas as pd
import numpy as np
import json
import random
import re
from datetime import datetime, timedelta
import missingno as msno

def generate_timestamp(id, submodule):
  #if timestamp does not exist from previous run - initialised once

ShriyaSami

import json
import pandas as pd

from sdv.metadata import Metadata
from sdv.single_table import CTGANSynthesizer
from sdv.cag import FixedCombinations
from sdv.evaluation.single_table import run_diagnostic
from sdv.evaluation.single_table import evaluate_quality
from sdv.evaluation.single_table import get_column_plot