Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.
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Generate a Python function given its docstring
You can query a model directly and test the results returned when using
different parameter values with the Cloud console, or by calling the
Vertex AI API directly.
from collections import namedtuple
from math import sqrt
# A point has an x and a y coordinate
Point = namedtuple('Point', 'x y')
# A triangle is defined by three points
Triangle = namedtuple('Triangle', 'a b c')
def distance(p, q):
"""Returns the distance between the provided pair of points"""
return sqrt((p.x - q.x)**2 + (p.y - q.y)**2)
def perimeter(triangle):
"""Returns the perimeter of the provided triangle"""
return distance(triangle.a, triangle.b) + distance(triangle.b, triangle.c) + distance(triangle.c, triangle.a)
def area(triangle):
"""Returns the area of the provided triangle using Heron's formula"""
Write the body of the area function, following its docstring.
Response
from collections import namedtuple
from math import sqrt
# A point has an x and a y coordinate
Point = namedtuple('Point', 'x y')
# A triangle is defined by three points
Triangle = namedtuple('Triangle', 'a b c')
def distance(p, q):
"""Returns the distance between the provided pair of points"""
return sqrt((p.x - q.x)**2 + (p.y - q.y)**2)
def perimeter(triangle):
"""Returns the perimeter of the provided triangle"""
return distance(triangle.a, triangle.b) + distance(triangle.b, triangle.c) + distance(triangle.c, triangle.a)
def area(triangle):
"""Returns the area of the provided triangle using Heron's formula"""
s = perimeter(triangle) / 2
return sqrt(s * (s - distance(triangle.a, triangle.b)) * (s - distance(triangle.b, triangle.c)) * (s - distance(triangle.c, triangle.a)))
