custom-numbers

custom_numbers 1.3.1

DESCRIPTION

A Swiss-army knife for numbers of custom numeral systems.

AUTHOR

Evgueni Antonov 2023.

NOTE

This module was created and tested on Python 3.10.6, pip 23.1.2.

First time published in May 2023.

INSTALLATION

pip3 install custom-numbers
# or
python3 -m pip install custom-numbers

QUICKSTART

For details on how to use it, see the USAGE section below.

from custom_numbers import custom_numbers as cn

my_custom_numeral_system = cn.CustomNumeralSystem("paf")
my_number = cn.CustomNumber(my_custom_numeral_system, "a")

# Now if you type in REPL:
# help(cn)
# You will get the help for the module and the classes.

USAGE

This package contains one module with few classes made to help you declare a custom numeral system, made of custom symbols with a custom base. As this may sound strange, in reality this is how it looks:

NOTE: Subsystems are not supported and I do not plan to implement this feature.

NOTE: This module supports only custom integer numbers. Custom floating point numbers are not supported and will never be.

QUICK RECAP ON EXISTING AND WELL-KNOWN NUMERAL SYSTEMS

Let's start with something you already know - a binary number. These are made of only zeroes and ones and therefore the Base is 2.

Example: 1100101

and this actually is the title of a really cool song from the 90s. Also 1100101 binary, converted to decimal is 101 (a hundred and one), just like (binary) 10₂ == 2₁₀ (decimal).

Now - a hexadecimal number - these are made of the digits 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 and the letters A, B, C, D, E, F and have a Base of 16.

So a hexadecimal number looks like this:

F₁₆ == 15₁₀, 10₁₆ == 16₁₀, F0₁₆ == 240₁₀

The other well-known numeral system is the octal system, consisting of only digits from zero to seven and Base 8, but we will skip this one now.

And finally the decimal system which we all know since childhood have a Base of 10 and is made of the digits from zero to nine.

TUTORIAL: DECLARING A CUSTOM NUMERAL SYSTEM

Okay, so far you are familiar with the most widely used numeral systems - the binary, the octal, the decimal and the hexadecimal.

Let's start by re-defining the binary system. So it does have a Base of 2 and we won't change that. However how about instead of using 0 and 1 to use P and A instead? So P would be our new zero and A would be our new one. Therefore as we normally would write 1100101 this now would be written as AAPPAPA. Confusing, right? But so what - it is still a binary system, we just changed the symbols.

But now how about something crazier - a numeral system with a Base of 3, using the symbols P, A, F as digits, so F would be 2 decimal, P would be 0 decimal. Therefore:

AA₃ == 4₁₀, AF₃ == 5₁₀, FP₃ == 6₁₀

Now let's see this in action:

from custom_numbers import custom_numbers as cn

sys3 = cn.CustomNumeralSystem("paf")
num3 = cn.CustomNumber(sys3, "aa")
num10 = num3.to_decimal()
print(num10) # Prints "4"

Best way to test if the classes work as expected is to declare numeral systems with the symbols we all know:

from custom_numbers import custom_numbers as cn

sys2 = cn.CustomNumeralSystem("01")
num2 = cn.CustomNumber(sys2, "1100101")
num10 = num2.to_decimal()
print(num10) # Prints "101"

sys16 = cn.CustomNumeralSystem("0123456789abcdef")
num16 = cn.CustomNumber(sys16, "f0")
num10 = num16.to_decimal()
print(num10) # Prints "240"

So far so good. Now let's go totally nuts and declare a system with a Base greather than 16 and a totally weird set of symbols for digits. And we can actually do that and even more totally crazy stuff:

sysN = cn.CustomNumeralSystem("kje5nCs21Q9vW0KMqc")

NOTE: The custom numbers are CASE SENSITIVE!! So N != n !!

NOTE: There are forbidden characters, which can't be used in a numeral system and can't be used in a number. You could always get them as a string by using the forbidden_characters property of the CustomNumeralSystem class.

TUTORIAL: BASIC OPERATIONS

In CustomNumeralSystem class for the needs of basic validation, the equality and iequality Python operators were implemented, so you could compare two objects.

However the comparisson would be by the list (basically the string) of the characters representing the digits, rather than standard Python object (reference) comparisson.

sys1 = cn.CustomNumeralSystem("paf")
sys2 = cn.CustomNumeralSystem("paf")

# The two objects are different, despite being initialized with
# the same value
id(sys1) == id(sys2) # False

# However the set of characters (the digits) is the same, the 
# base is the same, so I accept they are the same numeral systems
sys1 == sys2 # True

# And you could also test for inequality
sys1 = cn.CustomNumeralSystem("paf")
sys2 = cn.CustomNumeralSystem("paz")
sys1 != sys2 # True

Signed custom numbers are supported as well.

sysN = cn.CustomNumeralSystem("paf")
numN1 = cn.CustomNumber(sysN, "-a") # A negative number
numN2 = cn.CustomNumber(sysN, "a")  # A positive number
numN3 = cn.CustomNumber(sysN, "+a") # A positive number

Basic math operations are supported trough standard Python operators.

sysN = cn.CustomNumeralSystem("paf")
numN1 = cn.CustomNumber(sysN, "-a")
numN2 = cn.CustomNumber(sysN, "a")
numN3 = cn.CustomNumber(sysN, "+a")

# Comparisson
numN1 == numN2
numN1 != numN2
numN1 > numN2
numN1 < numN2
numN1 >= numN2
numN1 <= numN2

# Basic mathematical operations
numN1 + numN2   # Addition
numN1 += numN2  # Augmented addition
numN1 - numN2   # Subtraction
numN1 -= numN2  # Augmented subtraction
numN1 // numN2  # Floor division
numN1 / numN2   # NOTE: This will perform floor division as well!
# as floating point numbers are not supported by this class and will
# never be.
numN1 * numN2   # Multiplication
numN1 ** numN2  # Power
numN1 % numN2   # Modulo division
abs(numN)       # Absolute value

Using the iterator:

sysN = cn.CustomNumeralSystem("paf")
it = cn.GearIterator(sysN, 0, 2)
next(it)    # "p" # "p" assumes to be the analog of the zero
next(it)    # "a"
next(it)    # "f"
next(it)    # "ap"
next(it)    # "aa"
# and so on. You get the idea.

# The iterator could also be initialized with an init_value which is
# de-facto a custom number from the chosen CustomNumeralSystem,
# but for convenience I left the number to be a string, as you may
# wish or not to initialize at all:
it = cn.GearIterator(sysN, 0, 2, "af")

NOTE: If initialized, the iterator will strip any leading "zeroes" (so to speak) from the given init_value.

class CustomNumeralSystem

Defines and declares a custom numeral system.

CustomNumeralSystem(digits: str)

Args:
    digits: The symbols to be used as digits. The string length defines
        the numeral system base.

PROPERTIES:

forbidden_characters -> str
base -> int

METHODS:

valid_number(number: str) -> bool
    Tests if the given "number" is valid for the current numeral system.
    Should not contain forbidden characters.
    Should contain only characters defined in the numeral system.

class CustomNumber

Defines and declares a number from a custom numeral system.

CustomNumber(numeral_system: CustomNumeralSystem, value: str)

Args:
    numeral_system: A previously defined custom numeral system.
    value: The value (the number itself).

PROPERTIES:

init_value -> str
    Returns the initial value the class was initialized with.

METHODS:

digit_to_int(digit: str) -> int
    Converts the given digit from the custom numeral system to a
    decimal integer.

to_decimal() -> int
    Converts the current number value to a decimal integer.

class GearIterator

Iterates over the numbers of a custom numeral system eiter starting at the very first number (the zero-equivalent) or starting from a given init_value.

Briefly simulates old gear counters, like the old cars odometer.

GearIterator(numeral_system: CustomNumeralSystem, min_length: int = 0, max_length: int = 0, init_value: str = "")

Args:
    numeral_system: Custom numeral system. Mind the order of symbols!
    min_length: Minimum length, default is zero.
    max_length: Maximum length, default is zero - means no limit.
    init_value: Value to initialize with.

PROPERTIES:

combinations -> int
    Returns the number of possible combinations (iterations).

The class implements the Python context management protocol.