oriebir-math 1.0.2

SBU Engine: Unified Block Syntax for Mathematical Operations

🛠️ Symbol Table (Available Operators) Use these symbols in the op parameter of the eject method to perform instantaneous calculations:

🛠️ SBU Operator Table (Version 1.0.2) Symbol (op),Internal Function,Operation Description """sum""",sum_op,Total sum of all block elements. """mult""",mult_op,Product (multiplication) of all items. """avg""",avg_op,Calculates the simple arithmetic mean. """sqrt""",sqrt_op,Calculates the square root of each individual element. """diff""",diff_op,Difference between the last and the first term of the block. """approx""",approx_op,Rounding of values (default: 2 decimal places). """wave""",wave_op,Applies oscillatory function (sin(n) * cos(n)). """limit""",limit_op,Noise filter (zeros values below a tolerance). """const""",const_op,Multiplication of all elements by a constant c. """integ""",integ_op,Simple numerical integration (Total Sum * Step). """median""",median_op,Calculation of the central value (median) of the data block. """std""",std_op,Measure of statistical dispersion (standard deviation). """min""",min_op,Returns the smallest value found in the block. """max""",max_op,Returns the largest value found in the block. """range""",range_op,Difference between the maximum and minimum value (amplitude). """sin""",sin_op,Applies the Sine function to each individual element. """cos""",cos_op,Applies the Cosine function to each individual element. """tan""",tan_op,Applies the Tangent function to each individual element. """log""",log_op,Natural logarithm (base e) of the elements. """pow""",pow_op,Raises elements to a power p (default 2). """norm""",norm_op,Rescales the block to the linear scale [0, 1]. """clip""",clip_op,Keeps values within a defined interval (min/max). """abs""",abs_op,Absolute value (positive) of each element in the block. """ceil""",ceil_op,Rounds each element to the upper integer. """floor""",floor_op,Rounds each element to the lower integer. """var""",var_op,Calculation of the statistical variance of the data block.

📖 Usage Example (Visual Sample) See how the SBU engine processes a list of data with fine adjustment:

Python from oriebir_math import SBU

1. Initialize the SBU engine

sbu = SBU()

2. Define your input block

data = [10.5, 20.2, 30.8, 5.1]

3. Execute the operation with an Adjustment

The SBU rule subtracts the sum of 'adjustment' from the result of the 'op' operation.

result = sbu.eject( input_block=data, op="sum", adjustment=[1.5, 2.5] )

pip install pytest

pytest tests/test_sbu_complete.py

print(f"Final Result: {result}")

Internal calculation: (10.5 + 20.2 + 30.8 + 5.1) - (1.5 + 2.5) = 62.6

======================= TEST SESSION SUMMARY ======================= Plataforma: win32 | Python: 3.13.11 | Pytest: 9.0.2 Diretório Raiz: oriebir_math_project Configuração: pyproject.toml

Coletados: 27 itens Status: 27 PASSED (100% de aproveitamento) Tempo de execução: 0.16s

Categoria,Operadores Validados,Resultado Aritmética de Bloco,"sum, mult, avg, diff, const, integ",PASS ✅ Estatística Avançada,"median, std, var, min, max, range",PASS ✅ Trigonometria,"sin, cos, tan, wave",PASS ✅ Transformações,"sqrt, log, pow, abs, ceil, floor",PASS ✅ Data Cleaning,"norm, clip, limit, approx",PASS ✅ Regra SBU,Lógica de Ajuste (Adjustment),PASS ✅