From 89a9700222e4e16a9b53af3a1189c17fcdc4bca3 Mon Sep 17 00:00:00 2001 From: Jonathan Rampersad Date: Wed, 18 Jun 2025 09:10:37 -0400 Subject: [PATCH] FEAT: Added support for float coefficients --- README.md | 3 ++- pyproject.toml | 2 +- src/polysolve/__init__.py | 25 +++++++++++++++---------- 3 files changed, 18 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 738ea19..367d852 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ A Python library for representing, manipulating, and solving polynomial equation ## Key Features -* **Create and Manipulate Polynomials**: Easily define polynomials of any degree and perform arithmetic operations like addition, subtraction, multiplication, and scaling. +* **Create and Manipulate Polynomials**: Easily define polynomials of any degree using integer or float coefficients, and perform arithmetic operations like addition, subtraction, multiplication, and scaling. * **Genetic Algorithm Solver**: Find approximate real roots for complex polynomials where analytical solutions are difficult or impossible. * **CUDA Accelerated**: Leverage NVIDIA GPUs for a massive performance boost when finding roots in large solution spaces. * **Analytical Solvers**: Includes standard, exact solvers for simple cases (e.g., `quadratic_solve`). @@ -44,6 +44,7 @@ Here is a simple example of how to define a quadratic function, find its propert from polysolve import Function, GA_Options, quadratic_solve # 1. Define the function f(x) = 2x^2 - 3x - 5 +# Coefficients can be integers or floats. f1 = Function(largest_exponent=2) f1.set_constants([2, -3, -5]) diff --git a/pyproject.toml b/pyproject.toml index f2b6f3c..a7bbb54 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta" [project] # --- Core Metadata --- name = "polysolve" -version = "0.2.2" +version = "0.3.0" authors = [ { name="Jonathan Rampersad", email="jonathan@jono-rams.work" }, ] diff --git a/src/polysolve/__init__.py b/src/polysolve/__init__.py index 260acc9..931b2b1 100644 --- a/src/polysolve/__init__.py +++ b/src/polysolve/__init__.py @@ -15,7 +15,7 @@ except ImportError: # The CUDA kernel for the fitness function _FITNESS_KERNEL = """ extern "C" __global__ void fitness_kernel( - const long long* coefficients, + const double* coefficients, int num_coefficients, const double* x_vals, double* ranks, @@ -76,13 +76,14 @@ class Function: self.coefficients: Optional[np.ndarray] = None self._initialized = False - def set_coeffs(self, coefficients: List[int]): + def set_coeffs(self, coefficients: List[Union[int, float]]): """ Sets the coefficients of the polynomial. Args: - coefficients (List[int]): A list of integer coefficients. The list size - must be largest_exponent + 1. + coefficients (List[Union[int, float]]): A list of integer or float + coefficients. The list size + must be largest_exponent + 1. Raises: ValueError: If the input is invalid. @@ -96,7 +97,7 @@ class Function: if coefficients[0] == 0 and self._largest_exponent > 0: raise ValueError("The first constant (for the largest exponent) cannot be 0.") - self.coefficients = np.array(coefficients, dtype=np.int64) + self.coefficients = np.array(coefficients, dtype=np.float64) self._initialized = True def _check_initialized(self): @@ -279,7 +280,7 @@ class Function: fitness_gpu = cupy.RawKernel(_FITNESS_KERNEL, 'fitness_kernel') # Move coefficients to GPU - d_coefficients = cupy.array(self.coefficients, dtype=cupy.int64) + d_coefficients = cupy.array(self.coefficients, dtype=cupy.float64) # Create initial random solutions on the GPU d_solutions = cupy.random.uniform( @@ -337,12 +338,16 @@ class Function: power = self._largest_exponent - i # Coefficient part - if c == 1 and power != 0: + coeff_val = c + if c == int(c): + coeff_val = int(c) + + if coeff_val == 1 and power != 0: coeff = "" - elif c == -1 and power != 0: + elif coeff_val == -1 and power != 0: coeff = "-" else: - coeff = str(c) + coeff = str(coeff_val) # Variable part if power == 0: @@ -356,7 +361,7 @@ class Function: sign = "" if i > 0: sign = " + " if c > 0 else " - " - coeff = str(abs(c)) + coeff = str(abs(coeff_val)) if abs(c) == 1 and power != 0: coeff = "" # Don't show 1 for non-constant terms