pyarrlib
A small Python utility library for working with arrays, nested array structures, and dictionaries.
This project provides helper functions for reversing arrays, computing numeric aggregates, counting nested leaves, splitting arrays, solving small systems of linear equations, and working with dictionary keys and values.
Features
Array Functions
reverse_arr(array)— reverse a one-dimensional sequencesum_arr(array)— compute the sum of numeric valuesmultiplication_arr(array)— compute the product of numeric valuesmin(array)— find the smallest numeric value in a sequencemax(array)— find the largest numeric value in a sequencearifmetic_mean(array)— compute the arithmetic mean of numeric valuessort(array)— sort the array in-placesame(array1, array2)— find common elements between two arraysstep_filter(array, step, first_num=0)— filter array with steptype_filter(array, type_filt)— filter elements by typerange_arr(array, first, last)— get numeric values inside an inclusive rangerange_other(array, first, last)— get numeric values outside an inclusive rangechunk(array, size)— split the array into fixed-size chunksmv(array, i1, i2)— move element from index i1 to i2hw_times(array, key)— count occurrences of keynot_same(array, array2)— find elements not common between arrayssection(array, part)— split the array into consecutive sections
Nested Array Functions
leafs(array)— flatten nested integer arraysnum_of_leafs(array)— count integer leaf nodes in nested arrayslen_arr(array)— count all scalar leaves in nested arraysequation_system(full_matrix)— solve 2×2 or 3×3 linear systems using determinants
Dictionary Functions
dict_max(d)— find the maximum value in dictionary valuesdict_min(d)— find the minimum value in dictionary valuesis_key_value_in_dict(d, key, value)— check if key-value pair existskey_sum(d)— sum numeric keys in dictionarykey_multiplication(d)— multiply numeric keys in dictionarysame_keys(d1, d2)— find common keys between dictionariessame_values(d1, d2)— find common values between dictionariesvalue_sum(d)— sum numeric values in dictionaryvalue_multiplication(d)— multiply numeric values in dictionary
Installation
From the repository root, install in editable mode:
python -m pip install -e .
If you prefer not to install, you can run code directly from this project by ensuring the repository root is on PYTHONPATH.
Usage
from pyarrlib import (
ArrayTypeError,
IsNotArrayError,
arifmetic_mean,
chunk,
dict_max,
dict_min,
equation_system,
hw_times,
is_key_value_in_dict,
key_sum,
key_multiplication,
leafs,
len_arr,
max,
min,
multiplication_arr,
mv,
not_same,
num_of_leafs,
range_arr,
reverse_arr,
same,
section,
sort,
step_filter,
sum_arr,
type_filter,
value_sum,
value_multiplication,
)
print(reverse_arr([1, 'hello', 3, True]))
# [True, 3, 'hello', 1]
print(sum_arr([1, 5, 4, 3, 8]))
# 21
print(multiplication_arr([4, 1, 2, 5, 7]))
# 280
print(min([1, 3, 6, -3, 2]))
# -3
print(arifmetic_mean([2, 4, 6]))
# 4.0
nested = [[1, 2, [3]], [4, [5, 6]]]
print(leafs(nested))
# [1, 2, 3, 4, 5, 6]
print(num_of_leafs(nested))
# 6
print(len_arr(nested))
# 6
system = [
[2, -1, 1],
[1, 1, 1],
[1, 2, -1],
]
print(equation_system([row + [value] for row, value in zip(system, [1, 2, 3])]))
arr = [1, 2, 3, 4, 5]
sort(arr)
print(arr) # [1, 2, 3, 4, 5]
print(chunk([1, 2], 3)) # [[1, 2, 3]]
print(hw_times([1, 2, 2, 3], 2)) # 2
print(type_filter([1, 'a', 2.0, True], int)) # [1, True]
d = {'a': 1, 'b': 2}
print(key_sum(d)) # 0
print(value_sum(d)) # 3
print(is_key_value_in_dict(d, 'a', 1)) # True
API Reference
Exceptions
ArrayTypeError— raised when array contains unsupported element types for numeric operationsIsNotArrayError— raised when input is not an array-like structure
Array Functions
reverse_arr(array)— Return a new sequence with the elements in reverse order.sum_arr(array)— Return the sum of numeric values in the array. ReturnsArrayTypeErrorif non-numeric elements are present.multiplication_arr(array)— Return the product of numeric values in the array. ReturnsArrayTypeErrorif non-numeric elements are present.min(array)— Return the smallest numeric value from a one-dimensional sequence. RaisesArrayTypeErrorfor non-numeric elements.max(array)— Return the largest numeric value from a one-dimensional sequence. RaisesArrayTypeErrorfor non-numeric elements.arifmetic_mean(array)— Return the arithmetic mean of numeric values in the array.sort(array)— Sort the array in-place and return the sorted array.same(array1, array2)— Return common elements between two arrays.step_filter(array, step, first_num=0)— Return sliced array with the given step.type_filter(array, type_filt)— Return elements matching the specified type.range_arr(array, first, last)— Return numeric elements inside the inclusive range[first, last].range_other(array, first, last)— Return numeric elements outside the inclusive range[first, last].chunk(array, size)— Split the array into consecutive chunks of sizesize.mv(array, i1, i2)— Move an element from indexi1toi2in-place.hw_times(array, key)— Count occurrences ofkeyin the array.not_same(array, array2)— Return elements that are not common between the two arrays.section(array, part)— Split the array into consecutive sections of lengthpart.
Nested Array Functions
leafs(array)— Return a flat list containing all integer leaf values from a nested array structure.num_of_leafs(array)— Count integer leaf nodes recursively in a nested array structure.len_arr(array)— Count all scalar leaf values in a nested array structure. Supported scalar types includeint,str,float, andbool.equation_system(full_matrix)— Solve a 2×2 or 3×3 system of linear equations supplied as an augmented matrix.
Dictionary Functions
dict_max(d)— Return the maximum value from dictionary values.dict_min(d)— Return the minimum value from dictionary values.is_key_value_in_dict(d, key, value)— ReturnTrueif the key-value pair exists in the dictionary.key_sum(d)— Return the sum of numeric dictionary keys.key_multiplication(d)— Return the product of numeric dictionary keys.same_keys(d1, d2)— Return a list of common keys between two dictionaries.same_values(d1, d2)— Return a list of common values between two dictionaries.value_sum(d)— Return the sum of numeric dictionary values.value_multiplication(d)— Return the product of numeric dictionary values.
Running the included checks
The repository includes a simple assertion-based test file.
python tests/test.py
Project structure
setup.py— package metadata and build configurationREADME.md— project documentationsrc/pyarrlib/__init__.py— package initializationsrc/pyarrlib/sync_arrpy.py— synchronous array utility functionssrc/pyarrlib/sync_multidim_arr.py— synchronous nested array traversal functionssrc/pyarrlib/sync_dict.py— synchronous dictionary utility functionssrc/pyarrlib/sync__checks.py— validation helpers and exception classessrc/pyarrlib/async_arrpy.py— asynchronous array utility functionssrc/pyarrlib/async_multidim_arr.py— asynchronous nested array traversal functionssrc/pyarrlib/async_dict.py— asynchronous dictionary utility functionssrc/pyarrlib/async__checks.py— asynchronous validation helpers and exception classestests/test.py— example assertions covering core behavior
License
This project is licensed under MIT.
Metadata
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