**π‘ Problem Formulation:** When working with tuples in Python, a common situation might involve ensuring that all tuples in a given collection, such as a list, have the same length. For example, given the input `[ (1, 2), (3, 4), (5, 6) ]`

, the desired output would be `True`

since all tuples have the same length of 2. However, for `[ (1, 2, 3), (3, 4), (5, 6) ]`

, the desired output would be `False`

.

## Method 1: Using a for loop to check tuple lengths

This method iterates over each tuple in the collection using a for loop. It compares the length of each tuple to the length of the first one. If any tuple does not match, it returns `False`

, otherwise it returns `True`

after completing the iteration.

Here’s an example:

def all_tuples_same_length(tuples): first_length = len(tuples[0]) for t in tuples[1:]: if len(t) != first_length: return False return True tuples_list = [(1, 2), (3, 4), (5, 6)] print(all_tuples_same_length(tuples_list))

The output of this code snippet is:

True

This code snippet defines a function `all_tuples_same_length`

that takes a list of tuples `tuples_list`

and compares the length of each tuple to the first one. It uses a for loop to iterate through the list. The function returns `True`

if all the tuples have the same length; otherwise, it returns `False`

.

## Method 2: Using the built-in `all()`

function

The `all()`

function in Python returns `True`

if all elements of the iterable are true. This method combines `all()`

with a generator expression that checks the length of the tuples against the first tuple’s length in the iterable.

Here’s an example:

tuples_list = [(1, 2), (3, 4), (5, 6)] first_length = len(tuples_list[0]) print(all(len(t) == first_length for t in tuples_list))

The output of this code snippet is:

True

The code uses `all()`

with a generator expression that iterates through each tuple in `tuples_list`

, checking whether their lengths match the length of the first tuple. The expression `len(t) == first_length`

evaluates to either `True`

or `False`

for each tuple, and `all()`

returns `True`

only if all expressions are `True`

.

## Method 3: Using `map()`

and `set()`

This method uses the `map()`

function to apply the `len()`

function to every tuple in the collection, and then converts the resulting lengths to a set to determine the number of unique lengths. If the set has only one unique length, it implies all tuples have the same length.

Here’s an example:

tuples_list = [(1, 2), (3, 4), (5, 6)] lengths = set(map(len, tuples_list)) print(len(lengths) == 1)

The output of this code snippet is:

True

The `map(len, tuples_list)`

function call applies the `len`

function to every element in `tuples_list`

, generating a list of lengths. This list is passed to the `set()`

constructor, which eliminates any duplicates, leaving us with a set of unique lengths. The code finally checks if the set has exactly one element, which confirms that all tuple lengths are the same.

## Method 4: Using `itertools.starmap()`

Similar to Method 3, this one uses the `itertools.starmap()`

function to apply `len()`

to each tuple. The approach of checking for a single unique length in the set to ensure all tuples are of the same length is the same.

Here’s an example:

import itertools tuples_list = [(1, 2), (3, 4), (5, 6)] lengths = set(itertools.starmap(len, tuples_list)) print(len(lengths) == 1)

The output of this code snippet is:

True

In this example, the `itertools.starmap()`

function is used to create an iterator that applies the `len`

function to each tuple in `tuples_list`

. As with the previous method, a set is created from the map object, and its length is checked to determine if all tuples are of the same length.

## Bonus One-Liner Method 5: Using a list comprehension

For a short and concise solution, this one-liner uses a list comprehension inside the `all()`

function to check the tuple lengths.

Here’s an example:

tuples_list = [(1, 2), (3, 4), (5, 6)] print(all(len(t) == len(tuples_list[0]) for t in tuples_list))

The output of this code snippet is:

True

This example makes use of Python’s ability to generate compact and readable code. It’s essentially a more concise version of Method 2, using a list comprehension to check if all tuples in `tuples_list`

have the same length as the first tuple.

## Summary/Discussion

**Method 1:**For Loop. Straightforward. May not be the most Pythonic way and could be considered verbose for this type of problem.**Method 2:**`all()`

with Generator Expression. Elegant and Pythonic. Requires understanding of generator expressions and the`all()`

function.**Method 3:**Using`map()`

and`set()`

. Efficient and quick. Requires additional memory for set creation, and slight indirectness in logic.**Method 4:**Using`itertools.starmap()`

. Clean and effective. Similar to Method 3 but makes use of the itertools module, which might be overkill for such a simple task.**Method 5:**One-Liner List Comprehension. Most concise. Great for short scripts or inline use, but may impact readability for those new to Python.