# -*- coding: utf-8 -*-
"""
Created on Mon Feb 26 14:29:11 2018

@author: Christian Bender
@license: MIT-license

This module contains some useful classes and functions for dealing
with linear algebra in python.

Overview:

- class Vector
- function zeroVector(dimension)
- function unitBasisVector(dimension,pos)
- function axpy(scalar,vector1,vector2)
- function randomVector(N,a,b)
- class Matrix
- function squareZeroMatrix(N)
- function randomMatrix(W,H,a,b)
"""

import math
import random


class Vector(object):
    """
    This class represents a vector of arbitray size.
    You need to give the vector components.

    Overview about the methods:

    constructor(components : list) : init the vector
    set(components : list) : changes the vector components.
    __str__() : toString method
    component(i : int): gets the i-th component (start by 0)
    size() : gets the size of the vector (number of components)
    euclidLength() : returns the eulidean length of the vector.
    operator + : vector addition
    operator - : vector subtraction
    operator * : scalar multiplication and dot product
    copy() : copies this vector and returns it.
    changeComponent(pos,value) : changes the specified component.
    TODO: compare-operator
    """

    def __init__(self, components):
        """
        input: components or nothing
        simple constructor for init the vector
        """
        self.__components = components

    def set(self, components):
        """
        input: new components
        changes the components of the vector.
        replace the components with newer one.
        """
        if len(components) > 0:
            self.__components = components
        else:
            raise Exception("please give any vector")

    def __str__(self):
        """
        returns a string representation of the vector
        """
        ans = "("
        length = len(self.__components)
        for i in range(length):
            if i != length - 1:
                ans += str(self.__components[i]) + ","
            else:
                ans += str(self.__components[i]) + ")"
        if len(ans) == 1:
            ans += ")"
        return ans

    def component(self, i):
        """
        input: index (start at 0)
        output: the i-th component of the vector.
        """
        if i < len(self.__components) and i >= 0:
            return self.__components[i]
        else:
            raise Exception("index out of range")

    def size(self):
        """
        returns the size of the vector
        """
        return len(self.__components)

    def eulidLength(self):
        """
        returns the eulidean length of the vector
        """
        summe = 0
        for c in self.__components:
            summe += c**2
        return math.sqrt(summe)

    def __add__(self, other):
        """
        input: other vector
        assumes: other vector has the same size
        returns a new vector that represents the sum.
        """
        size = self.size()
        result = []
        if size == other.size():
            for i in range(size):
                result.append(self.__components[i] + other.component(i))
        else:
            raise Exception("must have the same size")
        return Vector(result)

    def __sub__(self, other):
        """
        input: other vector
        assumes: other vector has the same size
        returns a new vector that represents the differenz.
        """
        size = self.size()
        result = []
        if size == other.size():
            for i in range(size):
                result.append(self.__components[i] - other.component(i))
        else:  # error case
            raise Exception("must have the same size")
        return Vector(result)

    def __mul__(self, other):
        """
        mul implements the scalar multiplication
        and the dot-product
        """
        ans = []
        if isinstance(other, float) or isinstance(other, int):
            for c in self.__components:
                ans.append(c * other)
        elif isinstance(other, Vector) and (self.size() == other.size()):
            size = self.size()
            summe = 0
            for i in range(size):
                summe += self.__components[i] * other.component(i)
            return summe
        else:  # error case
            raise Exception("invalide operand!")
        return Vector(ans)

    def copy(self):
        """
        copies this vector and returns it.
        """
        components = [x for x in self.__components]
        return Vector(components)

    def changeComponent(self, pos, value):
        """
        input: an index (pos) and a value
        changes the specified component (pos) with the
        'value'
        """
        # precondition
        assert pos >= 0 and pos < len(self.__components)
        self.__components[pos] = value

    def norm(self):
        """
        normalizes this vector and returns it.
        """
        eLength = self.eulidLength()
        quotient = 1.0 / eLength
        for i in range(len(self.__components)):
            self.__components[i] = self.__components[i] * quotient
        return self

    def __eq__(self, other):
        """
        returns true if the vectors are equal otherwise false.
        """
        ans = True
        SIZE = self.size()
        if SIZE == other.size():
            for i in range(SIZE):
                if self.__components[i] != other.component(i):
                    ans = False
                    break
        else:
            ans = False
        return ans


def zeroVector(dimension):
    """
    returns a zero-vector of size 'dimension'
    """
    # precondition
    assert isinstance(dimension, int)
    ans = []
    for i in range(dimension):
        ans.append(0)
    return Vector(ans)


def unitBasisVector(dimension, pos):
    """
    returns a unit basis vector with a One
    at index 'pos' (indexing at 0)
    """
    # precondition
    assert isinstance(dimension, int) and (isinstance(pos, int))
    ans = []
    for i in range(dimension):
        if i != pos:
            ans.append(0)
        else:
            ans.append(1)
    return Vector(ans)


def axpy(scalar, x, y):
    """
    input: a 'scalar' and two vectors 'x' and 'y'
    output: a vector
    computes the axpy operation
    """
    # precondition
    assert (
        isinstance(x, Vector)
        and (isinstance(y, Vector))
        and (isinstance(scalar, int) or isinstance(scalar, float))
    )
    return x * scalar + y


def randomVector(N, a, b):
    """
    input: size (N) of the vector.
           random range (a,b)
    output: returns a random vector of size N, with
            random integer components between 'a' and 'b'.
    """
    ans = zeroVector(N)
    random.seed(None)
    for i in range(N):
        ans.changeComponent(i, random.randint(a, b))
    return ans


class Matrix(object):
    """
    class: Matrix
    This class represents a arbitrary matrix.

    Overview about the methods:

         __str__() : returns a string representation
           operator * : implements the matrix vector multiplication
                        implements the matrix-scalar multiplication.
           changeComponent(x,y,value) : changes the specified component.
           component(x,y) : returns the specified component.
           width() : returns the width of the matrix
           height() : returns the height of the matrix
           operator + : implements the matrix-addition.
           operator - _ implements the matrix-subtraction
    """

    def __init__(self, matrix, w, h):
        """
        simple constructor for initialzes
        the matrix with components.
        """
        self.__matrix = matrix
        self.__width = w
        self.__height = h

    def __str__(self):
        """
        returns a string representation of this
        matrix.
        """
        ans = ""
        for i in range(self.__height):
            ans += "|"
            for j in range(self.__width):
                if j < self.__width - 1:
                    ans += str(self.__matrix[i][j]) + ","
                else:
                    ans += str(self.__matrix[i][j]) + "|\n"
        return ans

    def changeComponent(self, x, y, value):
        """
        changes the x-y component of this matrix
        """
        if x >= 0 and x < self.__height and y >= 0 and y < self.__width:
            self.__matrix[x][y] = value
        else:
            raise Exception("changeComponent: indices out of bounds")

    def component(self, x, y):
        """
        returns the specified (x,y) component
        """
        if x >= 0 and x < self.__height and y >= 0 and y < self.__width:
            return self.__matrix[x][y]
        else:
            raise Exception("changeComponent: indices out of bounds")

    def width(self):
        """
        getter for the width
        """
        return self.__width

    def height(self):
        """
        getter for the height
        """
        return self.__height

    def __mul__(self, other):
        """
        implements the matrix-vector multiplication.
        implements the matrix-scalar multiplication
        """
        if isinstance(other, Vector):  # vector-matrix
            if other.size() == self.__width:
                ans = zeroVector(self.__height)
                for i in range(self.__height):
                    summe = 0
                    for j in range(self.__width):
                        summe += other.component(j) * self.__matrix[i][j]
                    ans.changeComponent(i, summe)
                    summe = 0
                return ans
            else:
                raise Exception(
                    "vector must have the same size as the "
                    + "number of columns of the matrix!"
                )
        elif isinstance(other, int) or isinstance(other, float):  # matrix-scalar
            matrix = []
            for i in range(self.__height):
                row = []
                for j in range(self.__width):
                    row.append(self.__matrix[i][j] * other)
                matrix.append(row)
            return Matrix(matrix, self.__width, self.__height)

    def __add__(self, other):
        """
        implements the matrix-addition.
        """
        if self.__width == other.width() and self.__height == other.height():
            matrix = []
            for i in range(self.__height):
                row = []
                for j in range(self.__width):
                    row.append(self.__matrix[i][j] + other.component(i, j))
                matrix.append(row)
            return Matrix(matrix, self.__width, self.__height)
        else:
            raise Exception("matrix must have the same dimension!")

    def __sub__(self, other):
        """
        implements the matrix-subtraction.
        """
        if self.__width == other.width() and self.__height == other.height():
            matrix = []
            for i in range(self.__height):
                row = []
                for j in range(self.__width):
                    row.append(self.__matrix[i][j] - other.component(i, j))
                matrix.append(row)
            return Matrix(matrix, self.__width, self.__height)
        else:
            raise Exception("matrix must have the same dimension!")

    def __eq__(self, other):
        """
        returns true if the matrices are equal otherwise false.
        """
        ans = True
        if self.__width == other.width() and self.__height == other.height():
            for i in range(self.__height):
                for j in range(self.__width):
                    if self.__matrix[i][j] != other.component(i, j):
                        ans = False
                        break
        else:
            ans = False
        return ans


def squareZeroMatrix(N):
    """
    returns a square zero-matrix of dimension NxN
    """
    ans = []
    for i in range(N):
        row = []
        for j in range(N):
            row.append(0)
        ans.append(row)
    return Matrix(ans, N, N)


def randomMatrix(W, H, a, b):
    """
    returns a random matrix WxH with integer components
    between 'a' and 'b'
    """
    matrix = []
    random.seed(None)
    for i in range(H):
        row = []
        for j in range(W):
            row.append(random.randint(a, b))
        matrix.append(row)
    return Matrix(matrix, W, H)