# LogicChunks
`LogicChunks` is a Python package offering extended functionalities for working with lists, tuples, dictionaries, and sets. It provides a wide range of predefined conditions to categorize data based on user-defined or built-in conditions, making it easier to handle and organize various data types.
## Installation
You can install the package using `pip`:
```bash
pip install LogicChunks
Features:
-->Divide lists into multiple groups based on user-defined or predefined conditions.
Predefined conditions include:
-> Even numbers
-> Odd numbers
-> Prime numbers
-> Perfect square numbers
-> Perfect cube numbers
-> Fibonacci numbers
-> Palindromes
-> Ascending digits
-> And many more...
User-customizable conditions:
->Check if a number is greater than, less than, or equal to a specified number.
->Check if a number is divisible by another number or is a multiple of a given number.
->Check if a number is a power of another number.
->Check if a number is within a specific range.
Usage:
->Divide List into Groups
->You can use the divide_list function to divide your data into different groups based on predefined or custom conditions.
Predefined Conditions:
The following predefined conditions can be used for grouping data:
->is_even(x): Returns True if x is an even number.
->is_odd(x): Returns True if x is an odd number.
->is_prime(x): Returns True if x is a prime number.
->is_perfect_square(x): Returns True if x is a perfect square.
->is_perfect_cube(x): Returns True if x is a perfect cube.
->is_fibonacci(x): Returns True if x is a Fibonacci number.
->is_palindrome(x): Returns True if x is a palindrome (reads the same forward and backward).
->is_ascending_digits(x): Returns True if the digits of x are in ascending order.
->is_zero(x): Returns True if x is equal to zero.
->is_positive(x): Returns True if x is a positive number.
->is_negative(x): Returns True if x is a negative number.
->Custom Conditions
You can also create your own conditions using functions that return a True or False value based on a specific condition. Some examples include:
->is_greater_than(user_number): Returns a function that checks if a number is greater than a user-defined number.
->is_less_than(user_number): Returns a function that checks if a number is less than a user-defined number.
->is_divisible_by(user_number): Returns a function that checks if a number is divisible by a user-defined number.
->is_multiple_of(user_number): Returns a function that checks if a number is a multiple of a user-defined number.
->is_between_range(min_value, max_value): Returns a function that checks if a number is between a given range (inclusive).
This README will be a good starting point for users of the `LogicChunks` package to install, use, and understand its features.
## Sample Usage
from logicchunks.lists import *
# Example list of numbers
numbers = [1, 2, 3, 4, 5, 6, 10,10, 12, 16, 25, 100, 144, 50, 0,121, 0, -5, -10,2901]
# Define the conditions dictionary based on user selections
conditions = {
"Greater than 10": is_greater_than(10),
"Divisible by 2": is_divisible_by(2),
"Multiple of 3": is_multiple_of(3),
"Power of 2": is_power_of_x(2),
"Even": is_even,
"Odd": is_odd,
"Positive": is_positive,
"Negative": is_negative,
"Prime": is_prime,
"Perfect Square": is_perfect_square,
"Perfect Cube": is_perfect_cube,
"Fibonacci": is_fibonacci,
"Even Length": is_even_length,
"Odd Length": is_odd_length,
"Integer": is_integer,
"Float": is_float,
"Zero": is_zero,
"Palindrome": is_palindrome,
"Ascending Digits": is_ascending_digits,
"Less than 10": is_less_than(10),
"Equal to 10": is_equal_to(10),
"Not Equal to 10": is_not_equal_to(10),
"Between 5 and 50": is_between_range(5,50),
"Multiple of 2 or 3": is_multiple_of_any([2,3]),
"Square Root Integer": is_square_root_integer
}
# Using the divide_list function to divide the numbers into groups based on conditions
grouped_numbers = divide_list(numbers, conditions)
# Print the results
for condition_name, group in grouped_numbers.items():
print(f"\n{condition_name}:")
print(group)
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"description": "# LogicChunks\r\n\r\n`LogicChunks` is a Python package offering extended functionalities for working with lists, tuples, dictionaries, and sets. It provides a wide range of predefined conditions to categorize data based on user-defined or built-in conditions, making it easier to handle and organize various data types.\r\n\r\n## Installation\r\n\r\nYou can install the package using `pip`:\r\n\r\n```bash\r\npip install LogicChunks\r\n\r\n\r\n\r\nFeatures:\r\n\r\n-->Divide lists into multiple groups based on user-defined or predefined conditions.\r\n\r\nPredefined conditions include:\r\n\r\n-> Even numbers\r\n-> Odd numbers\r\n-> Prime numbers\r\n-> Perfect square numbers\r\n-> Perfect cube numbers\r\n-> Fibonacci numbers\r\n-> Palindromes\r\n-> Ascending digits\r\n-> And many more...\r\n\r\nUser-customizable conditions:\r\n->Check if a number is greater than, less than, or equal to a specified number.\r\n->Check if a number is divisible by another number or is a multiple of a given number.\r\n->Check if a number is a power of another number.\r\n->Check if a number is within a specific range.\r\n\r\nUsage:\r\n->Divide List into Groups\r\n->You can use the divide_list function to divide your data into different groups based on predefined or custom conditions.\r\n\r\n\r\nPredefined Conditions:\r\n\r\nThe following predefined conditions can be used for grouping data:\r\n\r\n->is_even(x): Returns True if x is an even number.\r\n->is_odd(x): Returns True if x is an odd number.\r\n->is_prime(x): Returns True if x is a prime number.\r\n->is_perfect_square(x): Returns True if x is a perfect square.\r\n->is_perfect_cube(x): Returns True if x is a perfect cube.\r\n->is_fibonacci(x): Returns True if x is a Fibonacci number.\r\n->is_palindrome(x): Returns True if x is a palindrome (reads the same forward and backward).\r\n->is_ascending_digits(x): Returns True if the digits of x are in ascending order.\r\n->is_zero(x): Returns True if x is equal to zero.\r\n->is_positive(x): Returns True if x is a positive number.\r\n->is_negative(x): Returns True if x is a negative number.\r\n->Custom Conditions\r\n\r\nYou can also create your own conditions using functions that return a True or False value based on a specific condition. Some examples include:\r\n\r\n->is_greater_than(user_number): Returns a function that checks if a number is greater than a user-defined number.\r\n->is_less_than(user_number): Returns a function that checks if a number is less than a user-defined number.\r\n->is_divisible_by(user_number): Returns a function that checks if a number is divisible by a user-defined number.\r\n->is_multiple_of(user_number): Returns a function that checks if a number is a multiple of a user-defined number.\r\n->is_between_range(min_value, max_value): Returns a function that checks if a number is between a given range (inclusive).\r\n\r\n\r\n\r\nThis README will be a good starting point for users of the `LogicChunks` package to install, use, and understand its features.\r\n\r\n\r\n## Sample Usage\r\n\r\n\r\nfrom logicchunks.lists import *\r\n\r\n# Example list of numbers\r\nnumbers = [1, 2, 3, 4, 5, 6, 10,10, 12, 16, 25, 100, 144, 50, 0,121, 0, -5, -10,2901]\r\n\r\n\r\n\r\n# Define the conditions dictionary based on user selections\r\nconditions = {\r\n \"Greater than 10\": is_greater_than(10),\r\n \"Divisible by 2\": is_divisible_by(2),\r\n \"Multiple of 3\": is_multiple_of(3),\r\n \"Power of 2\": is_power_of_x(2),\r\n \"Even\": is_even,\r\n \"Odd\": is_odd,\r\n \"Positive\": is_positive,\r\n \"Negative\": is_negative,\r\n \"Prime\": is_prime,\r\n \"Perfect Square\": is_perfect_square,\r\n \"Perfect Cube\": is_perfect_cube,\r\n \"Fibonacci\": is_fibonacci,\r\n \"Even Length\": is_even_length,\r\n \"Odd Length\": is_odd_length,\r\n \"Integer\": is_integer,\r\n \"Float\": is_float,\r\n \"Zero\": is_zero,\r\n \"Palindrome\": is_palindrome,\r\n \"Ascending Digits\": is_ascending_digits,\r\n \"Less than 10\": is_less_than(10),\r\n \"Equal to 10\": is_equal_to(10),\r\n \"Not Equal to 10\": is_not_equal_to(10),\r\n \"Between 5 and 50\": is_between_range(5,50),\r\n \"Multiple of 2 or 3\": is_multiple_of_any([2,3]),\r\n \"Square Root Integer\": is_square_root_integer\r\n}\r\n\r\n# Using the divide_list function to divide the numbers into groups based on conditions\r\ngrouped_numbers = divide_list(numbers, conditions)\r\n\r\n# Print the results\r\nfor condition_name, group in grouped_numbers.items():\r\n print(f\"\\n{condition_name}:\")\r\n print(group)\r\n",
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