simrit1

import math
import numpy as np
from timebudget import timebudget

iterations_count = round(1e7)

def complex_operation(input_index):
    print("Complex operation. Input index: {:2d}".format(input_index))

    [math.exp(i) * math.sinh(i) for i in [1] * iterations_count]

simrit1

import math
import numpy as np
from timebudget import timebudget
from multiprocessing import Pool

iterations_count = round(1e7)

def complex_operation(input_index):
    print("Complex operation. Input index: {:2d}".format(input_index))

simrit1

import math
import numpy as np
from timebudget import timebudget
import ipyparallel as ipp

iterations_count = round(1e7)

def complex_operation(input_index):
    print("Complex operation. Input index: {:2d}".format(input_index))

simrit1

import math
import numpy as np
from timebudget import timebudget
import ray

iterations_count = round(1e7)

@ray.remote
def complex_operation(input_index):
    print("Complex operation. Input index: {:2d}".format(input_index))

simrit1

from dataclasses import dataclass


class ADTMeta(type):
    def __new__(mcs, name, bases, namespace: dict):
        adtc_class = super().__new__(mcs, name, bases, namespace)
        if "__is_adt_variant__" in namespace:
            if namespace["__is_adt_variant__"]:
                return adtc_class

simrit1

"""
MacOS:
    brew install chromedriver && pip3 install beautifulsoup4 selenium  
Todo:
    - Put driver and set calculation on a different process
    - Haskell!
    
~ Mehul 
"""

simrit1

#!/usr/bin/python3.6
"""AutoDelete

This script auto deletes messages from your gmail inbox.

The perfect usecase is deleting the OTP messages received from banks after certain time period.
or deleting the messages received from certain services which doesn't have unsubscribe option.

Many parts of this script are copied from EZGmail by Al Sweigart (https://github.com/asweigart/ezgmail)
"""

simrit1

words = ["adopt", "bake", "beam", "confide", "grill", "plant", "time", "wave", "wish"]
past_tense = []
for i in words:
    if(i[len(i)-1] == 'e'):
        i += 'd'
    else:
        i += 'ed'
    past_tense.append(i)

simrit1

import pulp as pl

# Define PuLP model
model = pl.LpProblem('TSP', pl.LpMinimize)

# Define binary variables
x = pl.LpVariable.dicts('x', ((i, j) for i in range(n_perm) for j in range(n_perm)), cat = 'Binary')

# Set the objective function
model += pl.lpSum(cost_dict[permutations[i], permutations[j]] * x[i, j] for i in range(n_perm) for j in range(n_perm))

simrit1

import numpy as np
import matplotlib.pyplot as plt

from skimage import io
import skimage.color as color
import skimage.segmentation as seg

# Read the image you want to process
image = io.imread('image.png')