A country has coins with denominations
```python
coins_list = d1 < d2 < · · · < dn.
```
You want to make change for n cents, using the smallest number of coins.

```python
# Example 1: U.S. coins
d1 = 1 d2 = 5 d3 = 10 d4 = 25

## Optimal change for 37 cents – 1 quarter, 1 dime, 2 pennies.

# Example 2: Alien Planet Z coins
Z_coin_a = 1 Z_coin_b = 3 Z_coin_c = 4

## Optimal change for 6 cents - 2 Z_coin_b's
```

Write a function that will take a list of coin denominations and a desired amount and provide the least amount of coins needed.

Difficulty: EASY

Starter code:
def loose_change(coins_list, amount_of_change):
	

Solutions:
from collections import deque

def loose_change(coins_list, amount_of_change):
	q = deque([(0, amount_of_change)])
	while q:
		(l, a) = q.popleft()
		if a == 0:
			return l
		q.extend(((l + 1, a - i) for i in coins_list if a >= i))


def loose_change(coins_list, amount):
	solution = [0] + [amount + 1] * amount
	for atmc in range(1, amount + 1):
		for coin in coins_list:
			if coin <= atmc:
				solution[atmc] = min(solution[atmc], solution[atmc - coin] + 1)
	return -1 if solution[amount] > amount else solution[amount]


def loose_change(coins_list, amount_of_change):
	(n, i, t) = (0, 0, amount_of_change)
	coins_list.sort(reverse=True)
	while amount_of_change >= 0 and i < len(coins_list):
		if amount_of_change - coins_list[i] >= 0:
			n += 1
			amount_of_change -= coins_list[i]
		else:
			i += 1
	return min([int(t / i) for i in coins_list if t % i == 0] + [n])


def loose_change(coins_list, amount_of_change):
	if len(coins_list) == 1:
		return amount_of_change
	return min(loose_change(coins_list[:-1], amount_of_change), amount_of_change // coins_list[-1] + loose_change(coins_list[:-1], amount_of_change % coins_list[-1]))


def loose_change(c, a):
	(l, n) = (0, 0)
	s = sorted([a // i for i in c if i > 1 and a % i == 0])
	for i in range(len(c) - 1, -1, -1):
		k = (a - l) // c[i]
		n += k
		if l + k * c[i] <= a:
			l += k * c[i]
	return min(n, s[0]) if s else n


def loose_change(coins, change):
	return search(sorted(coins, reverse=True), change)

def search(coins, x, n=0):
	if x == 0:
		return n
	m = 9999
	for c in coins:
		if x >= c:
			(q, r) = divmod(x, c)
			m = min(m, search(coins, r, n + q))
	return m


def loose_change(coins_list, amount_of_change):
	coins_amount = [0] + [float('inf')] * amount_of_change
	for i in range(1, amount_of_change + 1):
		coins_amount[i] = min((coins_amount[i - c] for c in coins_list if c <= i)) + 1
	return coins_amount[-1]


from itertools import combinations_with_replacement as combos

def loose_change(coins_list, amount_of_change):
	least_list = []
	for x in range(len(coins_list)):
		for combo in combos(coins_list, x + 1):
			if sum(combo) == amount_of_change:
				least_list.append(len(combo))
	return min(least_list)


def loose_change(coins_list, amount_of_change):
	changes = [1 if n + 1 in coins_list else amount_of_change * 2 for n in range(amount_of_change)]
	for i in range(amount_of_change):
		for c in coins_list:
			if i + c < amount_of_change:
				changes[i + c] = min(changes[i + c], changes[i] + 1)
	return changes[amount_of_change - 1]


def loose_change(coins_list, amount_of_change):
	if amount_of_change == 0:
		return 0
	elif amount_of_change < 0 or len(coins_list) == 0:
		return float('inf')
	else:
		with_first_coin = loose_change(coins_list, amount_of_change - coins_list[-1])
		without_first_coin = loose_change(coins_list[:-1], amount_of_change)
		return min(with_first_coin + 1, without_first_coin)