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linear-algebra-python/README.md
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linear-algebra-python/README.md
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# Linear algebra library for Python
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This module contains some useful classes and functions for dealing with linear algebra in python 2.
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---
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## Overview
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- class Vector
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- This class represents a vector of arbitray size and operations on it.
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**Overview about the methods:**
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- constructor(components : list) : init the vector
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- set(components : list) : changes the vector components.
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- __str__() : toString method
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- component(i : int): gets the i-th component (start by 0)
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- size() : gets the size of the vector (number of components)
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- euclidLength() : returns the eulidean length of the vector.
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- operator + : vector addition
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- operator - : vector subtraction
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- operator * : scalar multiplication and dot product
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- copy() : copies this vector and returns it.
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- changeComponent(pos,value) : changes the specified component.
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- function zeroVector(dimension)
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- returns a zero vector of 'dimension'
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- function unitBasisVector(dimension,pos)
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- returns a unit basis vector with a One at index 'pos' (indexing at 0)
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- function axpy(scalar,vector1,vector2)
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- computes the axpy operation
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- class Matrix
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- This class represents a matrix of arbitrary size and operations on it.
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**Overview about the methods:**
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- __str__() : returns a string representation
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- operator * : implements the matrix vector multiplication
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implements the matrix-scalar multiplication.
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- changeComponent(x,y,value) : changes the specified component.
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- component(x,y) : returns the specified component.
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- width() : returns the width of the matrix
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- height() : returns the height of the matrix
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- operator + : implements the matrix-addition.
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- operator - _ implements the matrix-subtraction
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- function squareZeroMatrix(N)
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- returns a square zero-matrix of dimension NxN
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---
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## Documentation
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The module is well documented. You can use the python in-built ```help(...)``` function.
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For instance: ```help(Vector)``` gives you all information about the Vector-class.
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Or ```help(unitBasisVector)``` gives you all information you needed about the
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global function ```unitBasisVector(...)```. If you need informations about a certain
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method you type ```help(CLASSNAME.METHODNAME)```.
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---
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## Usage
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You will find the module in the **src** directory its called ```lib.py```. You need to
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import this module in your project. Alternative you can also use the file ```lib.pyc``` in python-bytecode.
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---
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## Tests
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In the **src** directory you also find the test-suite, its called ```tests.py```.
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The test-suite uses the built-in python-test-framework **unittest**.
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linear-algebra-python/src/lib.py
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linear-algebra-python/src/lib.py
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# -*- coding: utf-8 -*-
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"""
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Created on Mon Feb 26 14:29:11 2018
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@author: Christian Bender
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@license: MIT-license
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This module contains some useful classes and functions for dealing
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with linear algebra in python.
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Overview:
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- class Vector
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- function zeroVector(dimension)
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- function unitBasisVector(dimension,pos)
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- function axpy(scalar,vector1,vector2)
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- class Matrix
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- squareZeroMatrix(N)
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"""
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import math
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class Vector(object):
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"""
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This class represents a vector of arbitray size.
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You need to give the vector components.
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Overview about the methods:
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constructor(components : list) : init the vector
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set(components : list) : changes the vector components.
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__str__() : toString method
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component(i : int): gets the i-th component (start by 0)
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size() : gets the size of the vector (number of components)
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euclidLength() : returns the eulidean length of the vector.
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operator + : vector addition
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operator - : vector subtraction
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operator * : scalar multiplication and dot product
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copy() : copies this vector and returns it.
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changeComponent(pos,value) : changes the specified component.
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TODO: compare-operator
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"""
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def __init__(self,components):
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"""
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input: components or nothing
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simple constructor for init the vector
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"""
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self.__components = components
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def set(self,components):
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"""
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input: new components
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changes the components of the vector.
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replace the components with newer one.
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"""
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if len(components) > 0:
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self.__components = components
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else:
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raise Exception("please give any vector")
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def __str__(self):
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"""
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returns a string representation of the vector
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"""
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ans = "("
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length = len(self.__components)
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for i in range(length):
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if i != length-1:
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ans += str(self.__components[i]) + ","
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else:
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ans += str(self.__components[i]) + ")"
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if len(ans) == 1:
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ans += ")"
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return ans
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def component(self,i):
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"""
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input: index (start at 0)
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output: the i-th component of the vector.
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"""
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if i < len(self.__components) and i >= 0:
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return self.__components[i]
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else:
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raise Exception("index out of range")
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def size(self):
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"""
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returns the size of the vector
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"""
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return len(self.__components)
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def eulidLength(self):
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"""
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returns the eulidean length of the vector
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"""
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summe = 0
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for c in self.__components:
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summe += c**2
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return math.sqrt(summe)
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def __add__(self,other):
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"""
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input: other vector
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assumes: other vector has the same size
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returns a new vector that represents the sum.
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"""
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size = self.size()
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result = []
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if size == other.size():
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for i in range(size):
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result.append(self.__components[i] + other.component(i))
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else:
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raise Exception("must have the same size")
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return Vector(result)
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def __sub__(self,other):
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"""
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input: other vector
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assumes: other vector has the same size
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returns a new vector that represents the differenz.
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"""
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size = self.size()
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result = []
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if size == other.size():
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for i in range(size):
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result.append(self.__components[i] - other.component(i))
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else: # error case
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raise Exception("must have the same size")
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return Vector(result)
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def __mul__(self,other):
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"""
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mul implements the scalar multiplication
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and the dot-product
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"""
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ans = []
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if isinstance(other,float) or isinstance(other,int):
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for c in self.__components:
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ans.append(c*other)
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elif (isinstance(other,Vector) and (self.size() == other.size())):
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size = self.size()
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summe = 0
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for i in range(size):
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summe += self.__components[i] * other.component(i)
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return summe
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else: # error case
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raise Exception("invalide operand!")
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return Vector(ans)
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def copy(self):
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"""
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copies this vector and returns it.
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"""
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components = [x for x in self.__components]
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return Vector(components)
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def changeComponent(self,pos,value):
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"""
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input: an index (pos) and a value
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changes the specified component (pos) with the
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'value'
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"""
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#precondition
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assert (pos >= 0 and pos < len(self.__components))
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self.__components[pos] = value
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def zeroVector(dimension):
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"""
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returns a zero-vector of size 'dimension'
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"""
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#precondition
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assert(isinstance(dimension,int))
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ans = []
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for i in range(dimension):
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ans.append(0)
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return Vector(ans)
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def unitBasisVector(dimension,pos):
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"""
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returns a unit basis vector with a One
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at index 'pos' (indexing at 0)
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"""
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#precondition
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assert(isinstance(dimension,int) and (isinstance(pos,int)))
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ans = []
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for i in range(dimension):
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if i != pos:
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ans.append(0)
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else:
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ans.append(1)
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return Vector(ans)
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def axpy(scalar,x,y):
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"""
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input: a 'scalar' and two vectors 'x' and 'y'
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output: a vector
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computes the axpy operation
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"""
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# precondition
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assert(isinstance(x,Vector) and (isinstance(y,Vector)) \
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and (isinstance(scalar,int) or isinstance(scalar,float)))
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return (x*scalar + y)
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class Matrix(object):
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"""
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class: Matrix
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This class represents a arbitrary matrix.
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Overview about the methods:
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__str__() : returns a string representation
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operator * : implements the matrix vector multiplication
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implements the matrix-scalar multiplication.
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changeComponent(x,y,value) : changes the specified component.
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component(x,y) : returns the specified component.
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width() : returns the width of the matrix
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height() : returns the height of the matrix
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operator + : implements the matrix-addition.
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operator - _ implements the matrix-subtraction
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"""
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def __init__(self,matrix,w,h):
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"""
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simple constructor for initialzes
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the matrix with components.
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"""
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self.__matrix = matrix
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self.__width = w
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self.__height = h
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def __str__(self):
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"""
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returns a string representation of this
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matrix.
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"""
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ans = ""
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for i in range(self.__height):
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ans += "|"
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for j in range(self.__width):
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if j < self.__width -1:
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ans += str(self.__matrix[i][j]) + ","
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else:
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ans += str(self.__matrix[i][j]) + "|\n"
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return ans
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def changeComponent(self,x,y, value):
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"""
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changes the x-y component of this matrix
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"""
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if x >= 0 and x < self.__height and y >= 0 and y < self.__width:
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self.__matrix[x][y] = value
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else:
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raise Exception ("changeComponent: indices out of bounds")
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def component(self,x,y):
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"""
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returns the specified (x,y) component
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"""
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if x >= 0 and x < self.__height and y >= 0 and y < self.__width:
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return self.__matrix[x][y]
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else:
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raise Exception ("changeComponent: indices out of bounds")
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def width(self):
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"""
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getter for the width
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"""
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return self.__width
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def height(self):
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"""
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getter for the height
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"""
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return self.__height
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def __mul__(self,other):
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"""
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implements the matrix-vector multiplication.
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implements the matrix-scalar multiplication
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"""
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if isinstance(other, Vector): # vector-matrix
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if (other.size() == self.__width):
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ans = zeroVector(self.__height)
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for i in range(self.__height):
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summe = 0
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for j in range(self.__width):
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summe += other.component(j) * self.__matrix[i][j]
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ans.changeComponent(i,summe)
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summe = 0
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return ans
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else:
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raise Exception("vector must have the same size as the "
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+ "number of columns of the matrix!")
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elif isinstance(other,int) or isinstance(other,float): # matrix-scalar
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matrix = []
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for i in range(self.__height):
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row = []
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for j in range(self.__width):
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row.append(self.__matrix[i][j] * other)
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matrix.append(row)
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return Matrix(matrix,self.__width,self.__height)
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def __add__(self,other):
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"""
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implements the matrix-addition.
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"""
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if (self.__width == other.width() and self.__height == other.height()):
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matrix = []
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for i in range(self.__height):
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row = []
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for j in range(self.__width):
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row.append(self.__matrix[i][j] + other.component(i,j))
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matrix.append(row)
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return Matrix(matrix,self.__width,self.__height)
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else:
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raise Exception("matrix must have the same dimension!")
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def __sub__(self,other):
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"""
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implements the matrix-subtraction.
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"""
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if (self.__width == other.width() and self.__height == other.height()):
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matrix = []
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for i in range(self.__height):
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row = []
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for j in range(self.__width):
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row.append(self.__matrix[i][j] - other.component(i,j))
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matrix.append(row)
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return Matrix(matrix,self.__width,self.__height)
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else:
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raise Exception("matrix must have the same dimension!")
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def squareZeroMatrix(N):
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"""
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returns a square zero-matrix of dimension NxN
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"""
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ans = []
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for i in range(N):
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row = []
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for j in range(N):
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row.append(0)
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ans.append(row)
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return Matrix(ans,N,N)
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linear-algebra-python/src/lib.pyc
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linear-algebra-python/src/lib.pyc
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linear-algebra-python/src/tests.py
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linear-algebra-python/src/tests.py
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# -*- coding: utf-8 -*-
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"""
|
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Created on Mon Feb 26 15:40:07 2018
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|
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@author: Christian Bender
|
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@license: MIT-license
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This file contains the test-suite for the linear algebra library.
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"""
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import unittest
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from lib import *
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class Test(unittest.TestCase):
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def test_component(self):
|
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"""
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test for method component
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"""
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x = Vector([1,2,3])
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self.assertEqual(x.component(0),1)
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self.assertEqual(x.component(2),3)
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try:
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y = Vector()
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self.assertTrue(False)
|
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except:
|
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self.assertTrue(True)
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||||
def test_str(self):
|
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"""
|
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test for toString() method
|
||||
"""
|
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x = Vector([0,0,0,0,0,1])
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self.assertEqual(x.__str__(),"(0,0,0,0,0,1)")
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def test_size(self):
|
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"""
|
||||
test for size()-method
|
||||
"""
|
||||
x = Vector([1,2,3,4])
|
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self.assertEqual(x.size(),4)
|
||||
def test_euclidLength(self):
|
||||
"""
|
||||
test for the eulidean length
|
||||
"""
|
||||
x = Vector([1,2])
|
||||
self.assertAlmostEqual(x.eulidLength(),2.236,3)
|
||||
def test_add(self):
|
||||
"""
|
||||
test for + operator
|
||||
"""
|
||||
x = Vector([1,2,3])
|
||||
y = Vector([1,1,1])
|
||||
self.assertEqual((x+y).component(0),2)
|
||||
self.assertEqual((x+y).component(1),3)
|
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self.assertEqual((x+y).component(2),4)
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def test_sub(self):
|
||||
"""
|
||||
test for - operator
|
||||
"""
|
||||
x = Vector([1,2,3])
|
||||
y = Vector([1,1,1])
|
||||
self.assertEqual((x-y).component(0),0)
|
||||
self.assertEqual((x-y).component(1),1)
|
||||
self.assertEqual((x-y).component(2),2)
|
||||
def test_mul(self):
|
||||
"""
|
||||
test for * operator
|
||||
"""
|
||||
x = Vector([1,2,3])
|
||||
a = Vector([2,-1,4]) # for test of dot-product
|
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b = Vector([1,-2,-1])
|
||||
self.assertEqual((x*3.0).__str__(),"(3.0,6.0,9.0)")
|
||||
self.assertEqual((a*b),0)
|
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def test_zeroVector(self):
|
||||
"""
|
||||
test for the global function zeroVector(...)
|
||||
"""
|
||||
self.assertTrue(zeroVector(10).__str__().count("0") == 10)
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||||
def test_unitBasisVector(self):
|
||||
"""
|
||||
test for the global function unitBasisVector(...)
|
||||
"""
|
||||
self.assertEqual(unitBasisVector(3,1).__str__(),"(0,1,0)")
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||||
def test_axpy(self):
|
||||
"""
|
||||
test for the global function axpy(...) (operation)
|
||||
"""
|
||||
x = Vector([1,2,3])
|
||||
y = Vector([1,0,1])
|
||||
self.assertEqual(axpy(2,x,y).__str__(),"(3,4,7)")
|
||||
def test_copy(self):
|
||||
"""
|
||||
test for the copy()-method
|
||||
"""
|
||||
x = Vector([1,0,0,0,0,0])
|
||||
y = x.copy()
|
||||
self.assertEqual(x.__str__(),y.__str__())
|
||||
def test_changeComponent(self):
|
||||
"""
|
||||
test for the changeComponent(...)-method
|
||||
"""
|
||||
x = Vector([1,0,0])
|
||||
x.changeComponent(0,0)
|
||||
x.changeComponent(1,1)
|
||||
self.assertEqual(x.__str__(),"(0,1,0)")
|
||||
def test_str_matrix(self):
|
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A = Matrix([[1,2,3],[2,4,5],[6,7,8]],3,3)
|
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self.assertEqual("|1,2,3|\n|2,4,5|\n|6,7,8|\n",A.__str__())
|
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def test__mul__matrix(self):
|
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A = Matrix([[1,2,3],[4,5,6],[7,8,9]],3,3)
|
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x = Vector([1,2,3])
|
||||
self.assertEqual("(14,32,50)",(A*x).__str__())
|
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self.assertEqual("|2,4,6|\n|8,10,12|\n|14,16,18|\n",(A*2).__str__())
|
||||
def test_changeComponent_matrix(self):
|
||||
A = Matrix([[1,2,3],[2,4,5],[6,7,8]],3,3)
|
||||
A.changeComponent(0,2,5)
|
||||
self.assertEqual("|1,2,5|\n|2,4,5|\n|6,7,8|\n",A.__str__())
|
||||
def test_component_matrix(self):
|
||||
A = Matrix([[1,2,3],[2,4,5],[6,7,8]],3,3)
|
||||
self.assertEqual(7,A.component(2,1),0.01)
|
||||
def test__add__matrix(self):
|
||||
A = Matrix([[1,2,3],[2,4,5],[6,7,8]],3,3)
|
||||
B = Matrix([[1,2,7],[2,4,5],[6,7,10]],3,3)
|
||||
self.assertEqual("|2,4,10|\n|4,8,10|\n|12,14,18|\n",(A+B).__str__())
|
||||
def test__sub__matrix(self):
|
||||
A = Matrix([[1,2,3],[2,4,5],[6,7,8]],3,3)
|
||||
B = Matrix([[1,2,7],[2,4,5],[6,7,10]],3,3)
|
||||
self.assertEqual("|0,0,-4|\n|0,0,0|\n|0,0,-2|\n",(A-B).__str__())
|
||||
def test_squareZeroMatrix(self):
|
||||
self.assertEqual('|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|'
|
||||
+'\n|0,0,0,0,0|\n',squareZeroMatrix(5).__str__())
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
Loading…
Reference in New Issue
Block a user