From 403d24706fd3afea57679614a439cd47c7b671eb Mon Sep 17 00:00:00 2001
From: Sven Riwoldt <sven.riwoldt@web.de>
Date: Sat, 7 Nov 2020 09:45:18 +0100
Subject: [PATCH] Normalisieren - print und pdb erstmal auskommentiert

---
 vector.py | 111 ++++++++++++++++++++++++++++--------------------------
 1 file changed, 57 insertions(+), 54 deletions(-)

diff --git a/vector.py b/vector.py
index 1d4a943..8c74354 100644
--- a/vector.py
+++ b/vector.py
@@ -3,58 +3,58 @@ from math import sqrt
 import pdb
 
 class Vector(object):
-    def __init__(self, coordinates):
-        try:
-            if not coordinates:
-                raise ValueError
-            self.coordinates = tuple(coordinates)
-            self.dimension = len(coordinates)
-
-        except ValueError:
-            raise ValueError('Die Koordinaten dürfen nicht leer sein')
-
-        except TypeError:
-            raise TypeError('Die Koordinaten müssen iterierbar sein')
-
-
-    def __str__(self):
-        return 'Vector: {}'.format(self.coordinates)
-
-
-    def __eq__(self, v):
-        return self.coordinates == v.coordinates
-        
-    #def plus(self,v):
-    #	  new_coordinates = [x+y for x,y in zip(self.coordinates, v.coordinates)]
-    #	  return Vector(new_coordinates)
-    
-    def plus(self,v):
-    	new_coordinates =[]
-    	n = len(self.coordinates)
-    	for i in range(n):
-    		new_coordinates.append(self.coordinates[i] + v.coordinates[i])
-    
-    def minus(self,v):
-    	  new_coordinates = [x-y for x,y in zip(self.coordinates, v.coordinates)]
-    	  return Vector(new_coordinates)
-    	  
-    def times_scalar(self, c):
-    	new_coordinates = [c*x for x in self.coordinates]
-    	return Vector(new_coordinates)
-    	
-    def magnitude(self): 
-        	#Länge
-        coordinates_squared = [x**2 for x in self.coordinates]
-        pdb.set_trace()
-        return sqrt(sum(coordinates_squared))
-   	
-    def normalized(self):
-        try:
-            magnitude = self.magnitude()
-            return self.times_scalar(1./magnitude)
-        except ZeroDivisonError:
-            raise Exception('Ein Null-Vektor kann nicht normalisiert werden')
-
+	def __init__(self, coordinates):
+		try:
+			if not coordinates:
+				raise ValueError
+			self.coordinates = tuple(coordinates)
+			self.dimension = len(coordinates)
+			
+		except ValueError:
+			raise ValueError('Die Koordinaten dürfen nicht leer sein')
+			
+		except TypeError:
+			raise TypeError('Die Koordinaten müssen iterierbar sein')
+			
+			
+	def __str__(self):
+		return 'Vector: {}'.format(self.coordinates)
+		
+		
+	def __eq__(self, v):
+		return self.coordinates == v.coordinates
+		
+	#def plus(self,v):
+	#     new_coordinates = [x+y for x,y in zip(self.coordinates, v.coordinates)]
+	#     return Vector(new_coordinates)
+	
+	def plus(self,v):
+		new_coordinates =[]
+		n = len(self.coordinates)
+		for i in range(n):
+			new_coordinates.append(self.coordinates[i] + v.coordinates[i])
+			
+	def minus(self,v):
+		new_coordinates = [x-y for x,y in zip(self.coordinates, v.coordinates)]
+		return Vector(new_coordinates)
+		
+	def times_scalar(self, c):
+		new_coordinates = [c*x for x in self.coordinates]
+		return Vector(new_coordinates)
+		
+	def magnitude(self):
+			#Länge
+		coordinates_squared = [x**2 for x in self.coordinates]
+		#pdb.set_trace()
+		return sqrt(sum(coordinates_squared))
+		
+	def normalized(self):
+		try:
+			magnitude = self.magnitude()
+			return self.times_scalar(1./magnitude)
+		except ZeroDivisonError:
+			raise Exception('Ein Null-Vektor kann nicht normalisiert werden')
+			
 # Tests
 
 vektor_1 = Vector([1,2,3])
@@ -64,7 +64,7 @@ vektor_2 = Vector([1,2,3])
 vektor_3 = Vector([-1,2,3])
 
 print (vektor_1 == vektor_2)
-print (vektor_2 == vektor_3) 
+print (vektor_2 == vektor_3)
 
 print (vektor_1.plus(vektor_2))
 
@@ -72,4 +72,7 @@ print (vektor_2.minus(vektor_3))
 
 print (vektor_3.times_scalar(3))
 
-print ("Magnitude -- Länge ", vektor_3.magnitude())
\ No newline at end of file
+print ("Magnitude -- Länge ", vektor_3.magnitude())
+
+print ("Normalisieren ", vektor_2.normalized())
+