# Obligatory set of small functions

from toolz import accumulate

def add(x, y):
    return x + y

def mul(x, y):
    return x * y

def fib(n):
    a, b = 0, 1
    for i in range(n):
        a, b = b, a + b
    return b

# We commonly use a lambda expression and the equals sign
cumsum = lambda data: accumulate(add, data)

# This is perfectly equivalent to the function definition
def cumsum(data):
    return accumulate(add, data)

# Or we can use the `partial` function from functools
# Partial inserts an argument into the first place
from functools import partial
cumsum = partial(accumulate, add)

# Semantically like the following:
# cumsum(whatever) = accumulate(add, whatever)

double = ...
assert double(5) = 10

mul(2)

from toolz import curry
mul = curry(mul)
mul(2)

accumulate = curry(accumulate)
map = curry(map)

cumsum = accumulate(add)
cumprod = accumulate(mul)

fibMany = map(fib)

fibMany(range(10))

from toolz.curried import map

from toolz import map, curry
map = curry(map)