2. Write a function max(L) which examines the argument list L, and returns the largest object of ty float. If there is no float object in the list, then the function returns None. For example, max([100, 'blue', 3.5, 'sugar on the rocks', 7.0]) would retûrn 7.0, and max([7, 2, 9, 1]) would return None. Note that type(element) == float is a way to check if element is a float.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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In Python ,  I need the first and second answer

**Function Description: max(L)**

Write a function `max(L)` which examines the argument list `L`, and returns the largest object of type float. If there is no float object in the list, then the function returns `None`. 

**Examples:**

- `max([100, 'blue', 3.5, 'sugar on the rocks', 7.0])` would return `7.0`
- `max([7, 2, 9, 1])` would return `None`

**Note:**

- `type(element) == float` is a way to check if `element` is a float.
Transcribed Image Text:**Function Description: max(L)** Write a function `max(L)` which examines the argument list `L`, and returns the largest object of type float. If there is no float object in the list, then the function returns `None`. **Examples:** - `max([100, 'blue', 3.5, 'sugar on the rocks', 7.0])` would return `7.0` - `max([7, 2, 9, 1])` would return `None` **Note:** - `type(element) == float` is a way to check if `element` is a float.
**Exercise 6: Calculating the Perimeter of a Polygon**

Objective: Write a function named `perimeter(poly)` that calculates the perimeter of a polygon. The input, `poly`, should be a list of tuples. Each tuple represents the (x, y) coordinates of a point on the polygon. The perimeter is determined by summing the distances between consecutive points, including the distance from the last point back to the first point.

**Formula for Distance Calculation:**

For two points, \((x_1, y_1)\) and \((x_2, y_2)\), the distance is given by:

\[ \text{distance} = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2} \]

**Instructions:**

1. Test your function with simple shapes such as a square, a rectangle, and a triangle, where the expected results are known.
2. To perform square root calculations, import the `math` module and use `math.sqrt`.

Example Implementation in Python:

```python
import math

def perimeter(poly):
    total_distance = 0
    
    # Loop through each point in the polygon
    for i in range(len(poly)):
        x1, y1 = poly[i]
        x2, y2 = poly[(i + 1) % len(poly)]  # Connect last point to first
        total_distance += math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)
    
    return total_distance
```

**Practice:**

Test this function on a variety of polygons to ensure accuracy and reliability of your implementation. Consider edge cases such as degenerate polygons and ensure that your function handles them appropriately.
Transcribed Image Text:**Exercise 6: Calculating the Perimeter of a Polygon** Objective: Write a function named `perimeter(poly)` that calculates the perimeter of a polygon. The input, `poly`, should be a list of tuples. Each tuple represents the (x, y) coordinates of a point on the polygon. The perimeter is determined by summing the distances between consecutive points, including the distance from the last point back to the first point. **Formula for Distance Calculation:** For two points, \((x_1, y_1)\) and \((x_2, y_2)\), the distance is given by: \[ \text{distance} = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2} \] **Instructions:** 1. Test your function with simple shapes such as a square, a rectangle, and a triangle, where the expected results are known. 2. To perform square root calculations, import the `math` module and use `math.sqrt`. Example Implementation in Python: ```python import math def perimeter(poly): total_distance = 0 # Loop through each point in the polygon for i in range(len(poly)): x1, y1 = poly[i] x2, y2 = poly[(i + 1) % len(poly)] # Connect last point to first total_distance += math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2) return total_distance ``` **Practice:** Test this function on a variety of polygons to ensure accuracy and reliability of your implementation. Consider edge cases such as degenerate polygons and ensure that your function handles them appropriately.
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