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Proxy Class in Python 3

I wrote a simple Proxy class in python3, but I have a problem with "was_called" function
class Proxy:
last_invoked = ""
calls = {}
def __init__(self, obj):
self._obj = obj
def __getattr__(self, item):
attrs = dir(self._obj)
if item in attrs:
Proxy.last_invoked = item
if item in Proxy.calls.keys():
Proxy.calls[item] += 1
else:
Proxy.calls[item] = 1
if item in Proxy.calls.keys():
Proxy.calls[item] += 1
else:
Proxy.calls[item] = 1
return getattr(self._obj, item)
else:
raise Exception('No Such Method')
def last_invoked_method(self):
if Proxy.last_invoked == "":
raise Exception('No Method Is Invoked')
else:
return Proxy.last_invoked
def count_of_calls(self, method_name):
if method_name in Proxy.calls.keys():
return Proxy.calls[method_name]
return 0
def was_called(self, method_name):
if method_name in Proxy.calls.keys():
if Proxy.calls[method_name] > 0: return True
return False
class Radio():
def __init__(self):
self._channel = None
self.is_on = False
self.volume = 0
def get_channel(self):
return self._channel
def set_channel(self, value):
self._channel = value
def power(self):
self.is_on = not self.is_on
radio = Radio()
radio_proxy = Proxy(radio)
radio.number = 3
radio_proxy.number = 3
radio_proxy.power()
print(radio_proxy.was_called("number"))
print(radio_proxy.was_called("power"))
"was_called" function is work for functions and attributes that is in radio at first such as "power", but it's not work for new attributes that we add such as "number".
I expect for both print "True", because both of "power" and "number" is called. but first print return False!
What do you suggest?

def Proxy(class_type):
class ProxyClass(class_type):
def __init__(self, *args, **kwargs):
# Set your _calls and _last_invoked here, so that they are not class attributes (and are instead instance attributes).
self._calls = {}
self._last_invoked = ""
# Pass the arguments back to the class_type (in our case Radio) to initialize the class.
super().__init__(*args, **kwargs)
def __getattribute__(self, item):
# We must do this prelimary check before continuing on to the elif statement.
# This is since _calls and _last_invoked is grabbed when self._last_invoked/self._calls is called below.
if item in ("_calls", "_last_invoked"):
return super(ProxyClass, self).__getattribute__(item)
elif not item.startswith("_"):
self._last_invoked = item
self._calls[item] = 1 if item not in self._calls.keys() else self._calls[item] + 1
return super(ProxyClass, self).__getattribute__(item)
def __setattr__(self, item, val):
# Wait until _calls is initialized before trying to set anything.
# Only set items that do not start with _
if not item == "_calls" and not item.startswith("_"):
self._calls[item] = 0
super(ProxyClass, self).__setattr__(item, val)
def last_invoked_method(self):
if self._last_invoked == "":
raise Exception('No Method Is Invoked')
else:
return self._last_invoked
def count_of_calls(self, method_name):
return self._calls[method_name] if method_name in self._calls.keys() else 0
def was_called(self, method_name):
return True if method_name in self._calls.keys() and self._calls[method_name] > 0 else False
return ProxyClass
#Proxy
class Radio():
def __init__(self):
self._channel = None
self.is_on = False
self.volume = 0
def get_channel(self):
return self._channel
def set_channel(self, value):
self._channel = value
def power(self):
self.is_on = not self.is_on
radio = Proxy(Radio)()
radio.number = 3 # Notice that we are only setting the digit here.
radio.power()
print(radio._calls)
print(radio.number) # Notice that this when we are actually calling it.
print(radio._calls)
outputs:
{'is_on': 0, 'volume': 0, 'number': 0, 'power': 1}
3
{'is_on': 0, 'volume': 0, 'number': 1, 'power': 1}
A few modifications here and there, but you should be able to see the bigger idea by reading through the code. From here you should be able to modify the code to your liking. Also note that any variable that starts with _ is automatically removed from the _calls dictionary.
If you rather not use the decorator #Proxy, you may initialize your Radio class (as a proxy) like so:
# Second parentheses is where your Radio args go in.
# Since Radio does not take any args, we leave it empty.
radio_proxy = Proxy(Radio)()
Also, make sure to understand the difference between class attributes, and instance attributes.
Edit:
class Test:
def __init__(self, var):
self.var = var
self.dictionary = {}
def __getattribute__(self, item):
print("we are GETTING the following item:", item)
# If we don't do this, you end up in an infinite loop in which Python is
# trying to get the `dictionary` class to do `self.dictionary['dictionary'] = ...`
if item == "dictionary":
super(Test, self).__getattribute__(item)
else:
self.dictionary[item] = "Now we can use this!"
return super(Test, self).__getattribute__(item)
def __setattr__(self, item, key):
print("we are SETTING the following item:", item)
super(Test, self).__setattr__(item, key)
Notice:
test = Test(4)
outputs:
we are SETTING the following item: var
we are SETTING the following item: dictionary
then following it:
test.var
outputs:
we are GETTING the following item: var
we are GETTING the following item: dictionary

Is there any method like divide by or multiply by in python range()?

for java, we can do:
for(int i=100; i>2 ; i=i/2){things to execute}
but what if in python?
is there anything like
for i in range(100:2:something)
could solve this problem?

If you need something simple which you can have at hand at several places, you can create a generator function:
def range_divide(start, end, denominator): # TODO: Think for a better name!
value = start
while value > end:
yield value
value /= denominator
and then do
for value in range_divide(100, 2, 2):
# do_stuff
You could even flexibilize this with
def range_flexible(start, end, action):
value = start
while value > end:
yield value
value = action(value)
and do
for value in range_flexible(100, 2, lambda x: x/2):
# do_stuff
or even
def for_loop(start, cont_condition, action):
value = start
while cont_condition(value):
yield value
value = action(value)
for value in for_loop(100, lambda x: x > 2, lambda x: x/2):
# do_stuff

There isn't by using a range, you could prepopulate a list and iterate over that but you'd be better off using a while loop.
i = 100
while i > 2:
...
i = i / 2

If you want it to look more like a java (or C) for loop, you can define a function that will process the parameters as a string in the C style (at the expense of execution speed):
cachedCFor = dict()
def cFor(params):
if params in cachedCFor: return cachedCFor[params]()
setup,condition,step = [ p.strip() for p in params.split(";") ]
varName = setup.split("=",1)[0].strip()
fn = dict()
code = f"""
def iterator():
{setup}
while {condition}:
yield {varName}
{step}
"""
exec(code,{},fn)
cachedCFor[params] = fn["iterator"]
return fn["iterator"]()
for i in cFor("i=100;i>2;i=i/2"):
print(i)
100
50.0
25.0
12.5
6.25
3.125
Note that the i variable in the string parameter is internal to the iterator and is not accessible within the for loop's code. We could have written for i in cFor("x=100;x>2;x=x/2") and still use i within the loop
That being said, I would still suggest that you embrace Python's way of doing things and not try to reproduce other language's syntax (i.e. use a while statement in this particular case)
for example:
x = 100
while x > 2:
i,x = x,x/2 # using x for the next value allows this to be placed
# at the beginning of the loop (rather than at the end)
# and avoids issues with the continue statement
print(i)
# ... your code ...
Or, you could use a bit of math:
# 6 = int(math.log(100,2))
for i in [100/2**i for i in range(6)]:
print(i)
# Strangely enough, this is actually slower than the cFor() folly

Here's another approach to handle special progressions in a cleaner and more generic fashion. It is a class that implements (and hides) internal workings of a loop variable.
class Loop:
def __init__(self,start=0):
self._firstPass = True
self._value = start
#property
def value(self): return self._value
def start(self,initial):
if self._firstPass : self._value = initial
return self
def next(self,nextValue=None):
if nextValue is None : nextValue = self.value + self._increment
if self._firstPass : self._firstPass = False
else : self._value = nextValue
return self
def up(self,by=1):
return self.next(self.value+by)
def down(self,by=1):
return self.next(self.value-by)
def upTo(self,last,by=1):
if self._firstPass: self._firstPass = False
else: self._value += by
return self.value <= last
def downTo(self,last,by=1):
if self._firstPass: self._firstPass = False
else: self._value -= by
return self.value >= last
def loop(self,condition=True):
self._firstPass = False
return condition
def until(self,condition=False):
self._firstPass = False
return not condition
def __getitem__(self,index): return self.value[index]
def __str__(self): return str(self.value)
def __int__(self): return int(self.value)
def __float__(self): return float(self.value)
def __add__(self,other): return self.value + other
def __sub__(self,other): return self.value - other
def __mul__(self,other): return self.value * other
def __matmul__(self,other): return self.value.__matmul__(other)
def __divmod__(self,other): return divmod(self.value,other)
def __pow__(self,other): return self.value ** other
def __truediv__(self,other): return self.value / other
def __floordiv__(self,other): return self.value // other
def __mod__(self,other): return self.value % other
def __lshift__(self,other): return self.value << other
def __rshift__(self,other): return self.value >> other
def __lt__(self,other): return self.value < other
def __le__(self,other): return self.value <= other
def __eq__(self,other): return self.value == other
def __ne__(self,other): return self.value != other
def __gt__(self,other): return self.value > other
def __ge__(self,other): return self.value >= other
def __and__(self,other): return self.value & other
def __or__(self,other): return self.value | other
def __xor__(self,other): return self.value ^ other
def __invert__(self): return -self.value
def __neg__(self): return -self.value
def __pos__(self): return self.value
def __abs__(self): return abs(self.value)
def __radd__(self, other): return other + self.value
def __rsub__(self, other): return other - self.value
def __rmul__(self, other): return other * self.value
def __rmatmul__(self, other): return other.__matmul__(self.value)
def __rtruediv__(self, other): return other / self.value
def __rfloordiv__(self, other): return other // self.value
def __rmod__(self, other): return other % self.value
def __rdivmod__(self, other): return divmod(other,self.value)
def __rpow__(self, other): return other ** self.value
def __rlshift__(self, other): return other << self.value
def __rrshift__(self, other): return other >> self.value
def __rand__(self, other): return other & self.value
def __rxor__(self, other): return other ^ self.value
def __ror__(self, other): return other | self.value
The class is designed to work with the while statement after initializing a loop variable. The loop variable behaves like a normal int (or float, or str, etc.) when used in calculations and conditions. This allows the progression and stop condition to be expressed as you would write them for an ordinary loop variable. The class adds a few method to control the loop process allowing for non-standard increments/decrements:
For example:
i = Loop()
while i.start(100).next(i//2).loop(i>2):
print(i) # 100, 50, 25, 12, 6 ,3
# Note: to use i for assignment or as parameter use +i or i.value
# example1: j = +i
# example2: for j in range(+i)
#
# i.value cannot be modified during the loop
You can also give a start value in the constructor to make the while statement more concise. The class also has an until() function to invert the stop condition:
i = Loop(start=100)
while i.next(i//2).until(i<=2):
print(i) # 100, 50.0, 25.0, 12.5, 6.25, 3.125
Finally there are a couple of helper functions to implement the simpler loops (although a for in would probably be better in most cases):
i = Loop()
while i.start(1).upTo(10):
print(i) # 1,2,...,9,10
i = Loop()
while i.upTo(100,by=5):
print(i) # 0,5,10,15,20,...,95,100
i = Loop(100)
while i.down(by=5).until(i<20):
print(i) # 100,95,90,...,25,20

Overloading, Referencing, and everything in between

This is a big one and I apologize.
I am practicing to make my coding more modular.
We are tasked to create a Shipyard system.
There are Containers in the Shipyard and Packages in the Containers.
There is a LinkedList program provided that can be imported. I added it on the bottom.
IMPORTANT: I CANNOT ALTER THE SORTED LINKED LIST PROGRAM IN ANY WAY HENCE WHY I USE OVERLOADERS
I have another program which is non-modular. It is specifically made for the assignment at hand and it works for the most part.
Python 3.5
from SortedLList import *
class Shipyard:
def __init__(self):
self._container = SortedLList()
def add(self, owner, destination, weight):
"""
This function does:
1. Adds a container for a specific destination if doesn't exist.
2. Adds a package in a container given that the total weight
doesn't exceed 2000 lbs
3. If it does, it creates another container headed in the same
direction and then the package is inserted there instead.
"""
self._container.insert(Self.Container(destination))
class Container:
def __init__(self, destination):
self._package = SortedLList()
self._dest = destination
self._weight = 0
self._max = 2000
def add_pack(self, owner, destination, weight):
"""
This function adds the weight of the package to the total
container weight. And inserts a Package Singly Linked List
object inside the container.
"""
self._weight += weight
self._package.insert(Self.Package(destination))
def __lt__(self, other):
return self._dest < other._dest
def __ge__(self, other):
return self._dest >= other._dest
def __eq__(self, other):
return self._dest == other._dest
class Package:
def __init__(self, owner, destination, weight):
self._owner = owner
self._dest = destination
self._weight = weight
def __lt__(self, other):
return self._weight < other._weight
def __ge__(self, other):
return self._weight >= other._weight
def __eq__(self, other):
return self._weight == other._weight
class SortedLList :
class _Node :
def __init__(self, elem, next) :
self._elem = elem
self._next = next
def __init__(self) :
self._first = None
self._size = 0
def __len__(self) :
return self._size
def isEmpty(self) :
return len(self) == 0
def first(self):
return self._elem._first
def insert(self, val) :
if (self.isEmpty() or val <self._first._elem):
self._size+=1
self._first = self._Node(val,self._first)
tmpRef=self._first
while(tmpRef._next!=None and val>=tmpRef._next._elem):
tmpRef=tmpRef._next
if val==tmpRef._elem:
return
self._size+=1
tmpRef._next=self._Node(val,tmpRef._next)
return
def isPresent(self, elem) :
tmpRef=self._first
while(tmpRef!=None):
if tmpRef._elem==elem:
return True
tmpRef=tmpRef._next
return False
def delete(self, elem) :
if self.isEmpty() :
return
if elem == self._first._elem :
self._size -= 1
self._first = self._first._next
return
tmpRef = self._first
while (tmpRef._next != None and elem > tmpRef._next._elem) :
tmpRef = tmpRef._next
if tmpRef._next == None : return
if tmpRef._next._elem != elem : return
self._size -= 1
tmpRef._next = tmpRef._next._next
return
def traversePrint(self) :
tmpRef = self._first
while tmpRef != None :
print(tmpRef._elem)
tmpRef = tmpRef._next
class Empty(Exception) :
pass
I want to be able to use the methods in the SortedLList program to be able to display information that I have in the main program.
Is there any way around typing:
print(self._cont._first._elem._dest) or print(self._cont._first._elem._package._first._elem._owner) by using traversePrint() without altering the helper code?

You can inherit SortedLList in a new class and overload the methods you want.
class MySortedLList(SortedLList):
def traversePrint(self):
# Your custom implementation
and then using that instead of SortedLLIst, e.g:
class Shipyard:
def __init__(self):
self._container = MySortedLList()
However,, you asked if you can use the SortedLList.traversePrint to print information about your main program, presumable Shipyard. This probably doesn't make sense because you'd break encapsulation. SortedLList knows about its elements and can only know about Shipyard if you give it a reference to Shipyard. So rather let Shipyard tell you about itself.

Product Inventory program that takes products with an ID, quantity, and price and uses an Inventory class to keep track of the products

The Product class seems to work fine but I'm trying to figure out how to get the Inventory class to separate each product into there specific categories. I feel like I'm close but whenever I try and print out the inventory it just shows where it's stored in memory and doesn't actually print anything out. The output i receive when running is at the bottom. I want it to print out the actual products and data, not the instance of it stored in memory.
class Product:
def __init__(self, pid, price, quantity):
self.pid = pid
self.price = price
self.quantity = quantity
def __str__(self):
#Return the strinf representing the product
return "Product ID: {}\t Price: {}\t Quantity: {}\n".format(self.pid, self.price, self.quantity)
def get_id(self):
#returns id
return self.pid
def get_price(self):
#returns price
return self.price
def get_quantity(self):
#returns quantity
return self.quantity
def increase_quantity(self):
self.quantity += 1
def decrease_quantity(self):
self.quantity -= 1
def get_value(self):
value = self.quantity * self.price
return 'value is {}'.format(value)
product_1 = Product('fishing', 20, 10)
product_2 = Product('apparel', 35, 20)
class Inventory:
def __init__(self, products):
self.products = products
self.fishing_list = []
self.apparel_list = []
self.value = 0
def __repr__(self):
return "Inventory(products: {}, fishing_list: {}, apparel_list: {}, value: {})".format(self.products, self.fishing_list, self.apparel_list, self.value)
def add_fishing(self):
for product in self.products:
if product.get_id() == 'fishing':
self.fishing_list.append(product)
return '{} is in the fishing section'.format(self.fishing_list)
def add_apparel(self):
for product in self.products:
if product.get_id() == 'apparel':
self.apparel_list.append(product)
return '{} is in the apparel section'.format(self.apparel_list)
inventory_1 = Inventory([product_1, product_2])
inventory_1.add_fishing()
print(inventory_1)
OUTPUT = Inventory(products: [<main.Product instance at 0x10dbc8248>, <main.Product instance at 0x10dbc8290>], fishing_list: [<main.Product instance at 0x10dbc8248>], apparel_list: [], value: 0)

You need to specify how an object of the class Inventory should be printed.
To do this you need to implement at least one of the following functions in your class.
__repr__
__str__
This answer helps, which of both you should use: https://stackoverflow.com/a/2626364/8411228
An implementation could look something like this:
class Inventory:
# your code ...
def __repr__(self):
return str(self.products) + str(self.fishing_list) + str(self.apparel_list) + str(self.value)
# or even better with formatting
def __repr__(self):
return f"Inventory(products: {self.products}, fishing_list: {self.fishing_list}, apparel_list: {self.apparel_list}, value: {self.value})
Note that I used in the second example f strings, to format the output string.

How to return the value of given key in method - dictionary

Im trying to write a simple vending machine.
I have Container class that contains items and class Items contains information like the prize and the amount.
The ID indentifies the item. Every calling add item will increment ID by one, so that every item is unique.
I would like to get the prize of given ID.
So for example: I add item, it has ID=30, I give ID and it returns the prize of it.
I tried something like this, but it does not work:
from Item import Item
class Container:
id = 30
def __init__(self, objects=None):
if objects is None:
objects = {}
self.objects = objects
def add_object(self, obj: Item):
self.objects.update({id: obj})
Container.id = container.id + 1
def get_length(self):
return len(self.objects)
def find_price_of_given_id(self, id):
# return self.objects.get(id).get_price()
pass
Cola = Item(20)
print(Cola.get_amount())
container = Container()
container.add_object(Cola)
print(container.objects.items())
Item class:
class Item:
def __init__(self, price,amount=5):
self.amount = amount
self.price = price
def get_price(self):
return self.price
def get_amount(self):
return self.amount
I dont know why also print(container.objects.items()) returns dict_items([(<built-in function id>, <Item.Item object at 0x00000000022C8358>)]), why not ID = 30 + Item object

id is the name of a builtin method. Don't use it as a variable name - leads to name confusion.
You're assigning the id inside the container class but never giving it back, so that people can look up the item using the id.
In python3, dict.items returns a dict_items iterator, so you need to iterate over it to get to the items within.
class Item:
def __init__(self, price, amount=5):
self.amount = amount
self.price = price
def get_price(self):
return self.price
def get_amount(self):
return self.amount
def __str__(self):
return f"{self.amount} # {self.price}"
class Container:
item_id = 30
def __init__(self, objects=None):
if objects is None:
objects = {}
self.objects = objects
def add_object(self, obj: Item):
id_to_assign = Container.item_id
self.objects.update({id_to_assign: obj})
Container.item_id = Container.item_id + 1
return id_to_assign
def get_length(self):
return len(self.objects)
def find_price_of_given_id(self, item_id):
return self.objects.get(item_id).get_price()
Cola = Item(20)
print(Cola.get_amount())
container = Container()
cola_id = container.add_object(Cola)
print(container.objects.items())
print(container.find_price_of_given_id(cola_id))
Output:
5
dict_items([(30, <__main__.Item object at 0x104444b00>)])
20