#|hide
from nbdev.showdoc import *
from fastcore.all import *
import numpy as np,numbers

colab_link('index')

coll_repr

test_eq(coll_repr(range(1000), 5), '(#1000) [0,1,2,3,4...]')

coll_repr(range(1000), 5)

test_eq([0,1,2,3], np.arange(4))

test(2, 3, operator.lt)

def divide_zero(): return 1/0
test_fail(divide_zero)

test_stdout(lambda: print('hi'), 'hi')

p = Path('images')
p.ls()

@patch
def num_items(self:Path): return len(self.ls())

p.num_items()

class Author:
    def __init__(self, name): self.name = name

class ProductPage(GetAttr):
    _default = 'author'
    def __init__(self,author,price,cost): self.author,self.price,self.cost = author,price,cost

p = ProductPage(Author("Jeremy"), 1.50, 0.50)
[o for o in dir(p) if not o.startswith('_')]

class ProductPage:
    def __init__(self,author,price,cost): store_attr()
    __repr__ = basic_repr('author,price,cost')

ProductPage("Jeremy", 1.50, 0.50)

@funcs_kwargs
class T:
    _methods=['some_method']
    def __init__(self, **kwargs): assert not kwargs, f'Passed unknown args: {kwargs}'

p = T(some_method = print)
p.some_method("hello")

L(1,2,3)

p = L.range(20).shuffle()
p

p[2,4,6]

p.argwhere(ge(15))

1 + L(2,3,4)

class A(Transform):
    def encodes(self, x): return x+1

A()(1)

@Transform
def f(x): return x+1

f(1)

@Transform
def g(x): return x/2

pipe = Pipeline([f,g])
pipe(3)