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A Python Package for Competitive Programming

Project description

Fast Cp

A Python Library that contains various functions to make Competitive Programming easy. This Package includes pre-defined functions that are quite useful in Competitive Programming.

Purpose of Package

  • The main purpose of this package is to provide various functions that are helpful for Competitive Programming.

Features

  • Collections of fastcp
    • Collections of arrays
      • Unique
      • Subarr
      • Subseq
      • Freq
      • Length
    • Collections of strings
      • VowelCount
      • Freq
      • Substr
      • Subseq
    • Collections of bitMan
      • Binary
      • Hexa
      • Octal
      • Toggle
      • CountSetBits
      • BinToDecimal
      • OctToDecimal
      • HexToDecimal
    • Collections of math
      • Product
      • Sieve
      • IsPrime
    • Collections of search
      • Find
      • LowerBound
      • UpperBound
    • Collections of sorting
      • Sort
      • SortDict
      • SortDictValues
    • Collections of collections
      • MultMap
    • Collections of trees
      • Create
      • Inorder
      • Preorder
      • Postorder
      • Levelorder

Getting Started

This package can be found on PyPi. Hence you can install it using pip

Installation

pip install fastcp

Usage

importing all sub-packages from fastcp

>>> from fastcp import *
>>> subsequences = arrays.Subseq([1,2,3,4,5])

importing a single sub-package from fastcp

>>> from fastcp import bitMan
>>> toggled_number = bitMan.Toggle(123)

Examples

>>> from fastcp import arrays

>>> arrays.Freq([1,1,2,2,2,3])
{1:2, 2:3, 3:1}
>>> from fastcp import strings

>>> strings.Substr("python")
['python', 'ython', 'thon', 'hon', 'on', 'n']

>>> strings.Subseq("Pypi")
['Pypi', 'Pyp', 'Pyi', 'Py', 'Ppi', 'Pp', 'Pi', 'P', 'ypi', 'yp', 'yi', 'y', 'pi', 'p', 'i', '']
  • New Libraries: (v.1.0.2)
    • sorting
    • collections
>>> from fastcp import sorting
>>> # Sort function at O(N) Complexity

>>> dict = {10: 1, 8: 2, 1: 3, 4: 4}

>>> print(sorting.SortDict(dict))
{1: 3, 4: 4, 8: 2, 10: 1}

>>> print(sorting.SortDict(dict, True))
{10: 1, 8: 2, 4: 4, 1: 3}


>>> from fastcp import collections

>>> d = collections.MultMap(0)
>>> # creates a Multi-Dictionary with default value as Int (0);
>>> d[0][0]
0

>>> d = collections.MultMap([])
>>> # creates a Multi-Dictionary with default value as List ([]);
>>> d[0][0]
[]
>>> d[0][0].append(20)
>>> d[0][0]
[20]
>>> from fastcp import trees
>>> root = trees.Create(10)
>>> root.left = Create(5)
>>> root.right = Create(20)
>>> trees.Inorder(root)
[5, 10, 20]
>>> trees.Preorder(root)
[10, 5, 20]
>>> trees.Postorder(root)
[5, 20, 10]
>>> trees.Levelorder(root)
[[10], [5, 20]]

Author

Avinash Doddi [https://github.com/avinash-doddi]

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