0.0.1dev0

.gitattributes

@@ -77,4 +77,4 @@
 
 ## Identifying file types
 # *.txt text
-# *.jpg binary
+# *.jpg binary

.github/dependabot.yml

@@ -0,0 +1,17 @@
+version: 2
+
+updates:
+  # Maintain dependencies for GitHub Actions as recommended in SPEC8:
+  # https://github.com/scientific-python/specs/pull/325
+  # At the time of writing, release critical workflows such as
+  # pypa/gh-action-pypi-publish should use hash-based versioning for security
+  # reasons. This strategy may be generalized to all other github actions
+  # in the future.
+  - package-ecosystem: github-actions
+    directory: /
+    schedule:
+      interval: daily
+    commit-message:
+      prefix: "MAINT"
+    labels:
+      - "03 - Maintenance"

.gitignore

@@ -105,4 +105,4 @@ pip-delete-this-directory.txt
 atlassian-ide-plugin.xml
 
 # OS droppings
-**.DS_Store
+**.DS_Store 

CITATION.bib

@@ -1,9 +1,3 @@
-% ---------------------------------------------------------
-% CITATION.bib file for lightnumpy
-% This file provides citation information for users
-% who want to cite the library, related papers, and books.
-% ---------------------------------------------------------
-
 @misc{lightnumpy:vlatest,
   author = { scikit-plots developers },
   title  = { lightnumpy: A lightweight version of NumPy (or similar functionality) },

CITATION.cff

@@ -1,9 +1,3 @@
-# ---------------------------------------------------------
-# CITATION.cff file for lightnumpy
-# This file provides citation information for users
-# who want to cite the library, related papers, and books.
-# ---------------------------------------------------------
-
 cff-version: 1.2.0  # The version of the CFF format used.
 message: "If you use this software, please cite it using the following metadata."  
 title: "lightnumpy: A lightweight version of NumPy (or similar functionality)"  

LICENSE

@@ -1,6 +1,6 @@
 BSD-3 Clause License
 
-Copyright (c) [2024 - ], [scikit-plots Developers]
+Copyright (c) [2024 - ], [scikit-plots Developers] 
 
 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:

MANIFEST.in

@@ -10,7 +10,7 @@ recursive-include lightnumpy *
 
 ## Include all non-Python files in your package directory (e.g., data files, config files)
 ## Replace `your_package_name` with the actual name of your package
-# recursive-include scikitplot *.txt *.csv *.json *.yaml
+# recursive-include lightnumpy *.txt *.csv *.json *.yaml
 
 ## Exclude unnecessary files or directories (useful for keeping the package clean)
 # prune tests  # Exclude the tests directory from the distribution

docs/source/faq.rst

@@ -2,4 +2,4 @@ Frequently Asked Questions
 ==========================
 
 Q: How is LightNumPy different from NumPy?
-A: LightNumPy is lightweight, modular, and supports GPU/TPU operations.
+A: LightNumPy is lightweight, modular, and supports GPU/TPU operations.

lightnumpy/_core/meson.build

@@ -11,7 +11,7 @@ if get_option('lnpy_use_numcpp').enabled()
   _global_numcpp_args += [
     # The -D flag defines a macro that is globally available during compilation.
     # The -U flag removes a macro definition during compilation, effectively ignoring it.
-    '-DLNPY_USE_NUMCPP',  # Default disable all NumCpp features
+    '-DLNPY_USE_NUMCPP',  # Enable all NumCpp features
     '-DNUMCPP_INCLUDE_PYBIND_PYTHON_INTERFACE', # Include PyBind11 Python interface helper functions
     # The -f option in compilers like gcc or g++ is used to enable
     # or disable specific compiler features or behaviors.
@@ -48,7 +48,7 @@ if get_option('lnpy_use_numcpp').enabled()
   endif
 else
   _global_numcpp_args += [
-    '-U LNPY_USE_NUMCPP',  # Default disable all NumCpp features
+    '-U LNPY_USE_NUMCPP',  # Disable all NumCpp features
   ]
 endif
 

lightnumpy/_gpu_core/__init__.py

@@ -0,0 +1,2 @@
+# Here Sample: numC++: Accelerated GPU Library for C++, with NumPy syntax
+# https://github.com/Sha-x2-nk/numCpp

lightnumpy/_gpu_core/include/b.h

@@ -0,0 +1,5 @@
+#define N 8
+
+extern __device__ int g[N];
+
+extern __device__ void bar(void);

lightnumpy/_gpu_core/include/gpu_array_ops.cuh

@@ -0,0 +1,38 @@
+#pragma once  // Ensure the file is included only once by the compiler
+
+#ifndef GPU_ARRAY_OPS_CUH
+#define GPU_ARRAY_OPS_CUH
+
+#include "numC++/npGPUArray.cuh"
+#include "numC++/gpuConfig.cuh"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+// Wrapper for initializing GPU configuration
+void init_gpu_config(int device_id);
+
+// Create a GPU array with default values
+void* create_gpu_array(int rows, int cols, float default_value);
+
+// Create a GPU array from a 1D array
+void* create_gpu_array_1d(const float* data, int size);
+
+// Create a GPU array from a 2D array
+void* create_gpu_array_2d(const float* data, int rows, int cols);
+
+// Get GPU array metadata
+int get_gpu_array_rows(void* array);
+int get_gpu_array_cols(void* array);
+int get_gpu_array_size(void* array);
+float* get_gpu_array_data(void* array);
+
+// Clean up GPU array
+void delete_gpu_array(void* array);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // GPU_ARRAY_OPS_CUH