270ajay

# Course: https://www.edx.org/learn/computer-programming/universite-catholique-de-louvain-constraint-programming
# Backtracking search algorithm for solving n-queens problem

import time
from typing import Callable


class NQueensFilter:
    def __init__(self, number_of_queens: int):
        self._number_of_queens: int = number_of_queens

270ajay

# Knapsack library by ortools
# Translated from c++ code:
# https://github.com/google/or-tools/blob/stable/ortools/algorithms/knapsack_solver.h
# https://github.com/google/or-tools/blob/stable/ortools/algorithms/knapsack_solver.cc

import bisect
import heapq
import math

from ortools.linear_solver import pywraplp

270ajay

from abc import ABC, abstractmethod


class EnemyShipBuilding(ABC):
    @abstractmethod
    def make_enemy_ship(self, type_of_ship: str) -> "EnemyShip":
        pass

    def order_the_ship(self, type_of_ship: str) -> "EnemyShip":
        the_enemy_ship = self.make_enemy_ship(type_of_ship)

270ajay

class _FootballPlayer:
    def __init__(
        self,
        passer_rating: int,
        rushing_yard: int,
        receiving_yard: int,
        total_tackles: int,
        interceptions: int,
        avg_punt: int,
        avg_kick_off_return: int,

270ajay

@ECHO OFF 

:: This batch file helps in automating tasks on cmd. 
:: First, we sort inports using isort package.
:: Then, we remove unused imports using autoflake package.
:: Finally, we format using black package. 

TITLE Python Files Formatter 

ECHO /!\ Please make sure you have the following packages installed:

270ajay

# Example of license header:
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
"""This file contains utility classes and functions."""

import json
import logging
import openpyxl

270ajay

"""Creates a file which contains info from lp and sol file.

----------------
Sample sol file:
----------------
# Solution for model Mathematical Model
# Objective value = 140
x1 10
x2 20
x3 30

270ajay

"""https://www.coursera.org/learn/ml-foundations?specialization=machine-learning#about

https://songxia-sophia.medium.com/collaborative-filtering-recommendation-with-co-occurrence-algorithm-dea583e12e2a
https://towardsdatascience.com/recommend-using-scikit-learn-and-tensorflow-recommender-bc659d91301a
"""

import numpy
import pandas
from scipy import sparse
from sklearn import metrics

270ajay

"""https://www.coursera.org/learn/ml-foundations?specialization=machine-learning#about"""

import pandas
from sklearn import neighbors
from sklearn import metrics
from sklearn.feature_extraction import text

if __name__ == "__main__":

    people_df = pandas.read_csv("people_wiki.csv")

270ajay

"""https://www.coursera.org/learn/ml-foundations?specialization=machine-learning#about"""

from matplotlib import pyplot
import pandas
import seaborn
from sklearn import linear_model
from sklearn import model_selection
from sklearn import metrics
from sklearn.feature_extraction import text