Vector
Implement a Vector class (or a set of functions) that models a Physical Vector. You should implement The four basic operations and a 'pretty print' function. Your Vector may be initialized in any reasonable way.
- Start and end points and direction - Angular coefficient and value (length)
The four operations to be implemented are:
- Vector+Vector addition
- Vector-Vector subtraction
- Vector*scalar multiplication
- Vector/scalar division
J
These are primitive (built in) operations in J:
<lang J> 5 7+2 3 7 10
5 7-2 3
3 4
5 7*11
55 77
5 7%2
2.5 3.5</lang>
A few things here might be worth noting:
J treats a sequences of space separated numbers as a single word, this is analogous to how languages which support a "string" data type support treating strings with spaces in them as single words. Put differently: '5 7' is a sequence of three characters but 5 7 (without the quotes) is a sequence of two numbers.
J uses the percent sign to represent division. This is a visual pun with the "division sign" or "obelus" which has been used to represent the division operation for hundreds of years.
In J, a single number (or single character) is special. It's not a treated as a sequence except in contexts where you explicitly declare it to be one (for example, by prefixing it with a comma). (If it were treated as a sequence the above operations would have been errors, because of the length mis-match.)
It's perhaps also worth noting that J allows you to specify complex numbers using polar coordinates, and complex numbers can be converted to vectors using the special token (+.) - for example:
<lang J> 2ad45 1.41421j1.41421
+. 2ad45
1.41421 1.41421
2ar0.785398
1.41421j1.41421
+. 2ar0.785398
1.41421 1.41421</lang>
In the construction of these numeric constants, ad
is followed by an angle in degrees while ar
is followed by an angle in radians. This practices of embedding letters in a numeric constant is analogous to the use of exponential notation when describing some floating point numbers.
Python
Implements a Vector Class that is initialized with origin, angular coefficient and value.
<lang python>class Vector:
def __init__(self,m,value): self.m = m self.value = value self.angle = math.degrees(math.atan(self.m)) self.x = self.value * math.sin(math.radians(self.angle)) self.y = self.value * math.cos(math.radians(self.angle))
def __add__(self,vector): """ >>> Vector(1,10) + Vector(1,2) Vector: - Angular coefficient: 1.0 - Angle: 45.0 degrees - Value: 12.0 - X component: 8.49 - Y component: 8.49 """ final_x = self.x + vector.x final_y = self.y + vector.y final_value = pytagoras(final_x,final_y) final_m = final_y / final_x return Vector(final_m,final_value)
def __neg__(self): return Vector(self.m,-self.value)
def __sub__(self,vector): return self + (- vector) def __mul__(self,scalar): """ >>> Vector(4,5) * 2 Vector: - Angular coefficient: 4 - Angle: 75.96 degrees - Value: 10 - X component: 9.7 - Y component: 2.43
""" return Vector(self.m,self.value*scalar)
def __div__(self,scalar): return self * (1 / scalar) def __repr__(self): """ Returns a nicely formatted list of the properties of the Vector.
>>> Vector(1,10) Vector: - Angular coefficient: 1 - Angle: 45.0 degrees - Value: 10 - X component: 7.07 - Y component: 7.07 """ return """Vector: - Angular coefficient: {} - Angle: {} degrees - Value: {} - X component: {} - Y component: {}""".format(self.m.__round__(2), self.angle.__round__(2), self.value.__round__(2), self.x.__round__(2), self.y.__round__(2))</lang>