#!/usr/bin/env python
# coding: utf-8

# This is highly experimental, but we could even imagine make the notebook reactive. This can be achieved by reaching into the ipython internals and overwriting the namespace. This has bugs.

# In[1]:


import pandas as pd
from io import BytesIO


# In[2]:


from reactpy import Reactive, Interact, Plot, FileData, Output
O = Output
get_ipython().run_line_magic('matplotlib', 'widget')


# In[3]:


r = reactive = Reactive(lazy_eval=False)
r.update(get_ipython().user_ns)
get_ipython().user_ns =  r


# In[4]:


a = 2
b = r(lambda a: a+3)
o = O(lambda a,b: (a, b))
o


# In[5]:


a = 3


# In[6]:


c = Interact('c', (-100, 100, 1))
d = Interact('d', (-100, 100, 1))
oo = O(lambda c,d: (c,d))
oo


# In[7]:


p = Plot(lambda ax, c, d: ax.plot([(x+c)*(x+d)*x for x in range(-100, 100)]))


# In[8]:


alist = [0, 2, 5, 6, 8, 9, 11, 23, 21, 32]
item = 6
alist, item


# In[9]:


first = 0
last = alist.__len__()-1
found = False
mon = O(lambda  first, last, found: (first, last, found))
mon


# In[10]:


while first<=last and not found:
    midpoint = (first + last)//2
    if alist[midpoint] == item:
        found = True
    else:
        if item < alist[midpoint]:
            last = midpoint-1
        else:
            first = midpoint+1


# In[12]:


x = 2
y = 3
@reactive
def z(x, y):
    return x+y
z


# In[13]:


x = 5


# In[14]:


z


# In[16]:


@O
def o(z):
    return z
o


# In[18]:


x = 39