Bynd 1.7

Bynd is a way of introducing static typing to Python.

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A module which allows binding data to one or more kind.

Bynd's intended use, is to be assigned to a variable.

Which, in this case, the variable can still be used

exactly the same way just by accessing the 'data'

class attribute. Since 'Bynd' "binds" the data to

a single type, the data cannot be modified

causing it to be constant and forces the programmer

to create references which can be modified. Inner

collection types can be specified using the 'inner'

keyword argument and passing it a 'set' of types, to

which the collection elements will be bound.

The benefits of using Bynd are:

1. Runtime type checking

2. Constant data

3. Ability to access the Bynd info with the 'info' class attribute just the data itself from the variable in which it is stored using the 'data' attribute

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Bynd: Basic Usage

# filename: Bynd_test.py
from Bynd.bynd import Bynd

# Instantiates a Bynd object and binds the data [1,2,[3,4,5]] to the type 'list'
# and it also binds the inner elements to the type 'list' and 'int' for both lists
my_variable = Bynd([1,2,[3,4,5]], list, inner={list, int})  # the data can't be changed

# The above code will raise a 'ByndError' if the data is not of type 'list'
# and if the inner elements are not of type 'list' or 'int'

# To access the data, we can use the dot '.' operator to access the 'data' class attribute
print("my_variable.data: ", my_variable.data)

# The 'data' and 'types' can be accessed using the '__info__' class attribute.
print("my_variable.info: ", my_variable.info)

# Output:
#    my_variable.data: "some string"
#    my_varaible.info: [([1,2,[3,4,5]], <class 'list'>, {<class 'list'>, <class 'int'>})]

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NOTE:

Bynd, automatically performs recursive type checking. What that means is, for any

collection type (list, tuple, set, etc.) it encounters, collection element types

are checked against the type set. All types need to be known or assumed when using

'Bynd'. It also does not make use of type hints in any way and it introduces strict

typing to Python by striping some of its flexibility.

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