move code to new location

.gitignore

@@ -1,10 +1,3 @@
 *.pyc
 __pycache__
-
 *.idea
-
-build/
-dist/
-*.egg-info/
-
-.mypy_cache

README.md

@@ -6,22 +6,13 @@ float_raster calculates pixel values with float64 precision and is capable of dr
 with variable pixel widths and heights.
 
 
-- [Source repository](https://mpxd.net/code/jan/float_raster)
-- [PyPi](https://pypi.org/project/float_raster)
-
-
 ## Installation
 
 Requirements:
-* python >=3.11
+* python 3 (written and tested with 3.5)
 * numpy
 
-Install with pip:
+Install with pip, via git:
 ```bash
-pip3 install float_raster
-```
-
-Alternatively, install via git
-```bash
-pip3 install git+https://mpxd.net/code/jan/float_raster.git@release
+pip install git+https://mpxd.net/code/jan/float_raster.git@release
 ```

float_raster.py

@@ -1,19 +1,22 @@
-from numpy.typing import ArrayLike, NDArray
+"""
+Module for rasterizing polygons, with float-precision anti-aliasing on
+ a non-uniform rectangular grid.
+
+See the documentation for raster(...) for details.
+"""
+
+from typing import Tuple
 import numpy
 from numpy import logical_and, diff, floor, ceil, ones, zeros, hstack, full_like, newaxis
 from scipy import sparse
 
-
-class FloatRasterError(Exception):
-    """ Custom exception for float_raster """
-    pass
+__author__ = 'Jan Petykiewicz'
 
 
-def raster(
-        vertices: ArrayLike,
-        grid_x: ArrayLike,
-        grid_y: ArrayLike,
-        ) -> NDArray[numpy.float64]:
+def raster(vertices: numpy.ndarray,
+           grid_x: numpy.ndarray,
+           grid_y: numpy.ndarray
+           ) -> numpy.ndarray:
     """
     Draws a polygon onto a 2D grid of pixels, setting pixel values equal to the fraction of the
      pixel area covered by the polygon. This implementation is written for accuracy and works with
@@ -24,14 +27,11 @@ def raster(
     Polygons are assumed to have clockwise vertex order; reversing the vertex order is equivalent
      to multiplying the result by -1.
 
-    Args:
-        vertices: 2xN ndarray containing `x,y` coordinates for each vertex of the polygon
-        grid_x: x-coordinates for the edges of each pixel (ie, the leftmost two columns span
-                `x=grid_x[0]` to `x=grid_x[1]` and `x=grid_x[1]` to `x=grid_x[2]`)
-        grid_y: y-coordinates for the edges of each pixel (see `grid_x`)
-
-    Returns:
-        2D ndarray with pixel values in the range [0, 1] containing the anti-aliased polygon
+    :param vertices: 2xN ndarray containing x,y coordinates for each vertex of the polygon
+    :param grid_x: x-coordinates for the edges of each pixel (ie, the leftmost two columns span
+        x=grid_x[0] to x=grid_x[1] and x=grid_x[1] to x=grid_x[2])
+    :param grid_y: y-coordinates for the edges of each pixel (see grid_x)
+    :return: 2D ndarray with pixel values in the range [0, 1] containing the anti-aliased polygon
     """
     vertices = numpy.array(vertices)
     grid_x = numpy.array(grid_x)
@@ -55,15 +55,15 @@ def raster(
 
 
 def find_intersections(
-        vertices: NDArray[numpy.floating],
-        grid_x: NDArray[numpy.floating],
-        grid_y: NDArray[numpy.floating],
-        ) -> tuple[NDArray[numpy.float64], NDArray[numpy.float64], NDArray[numpy.float64]]:
+        vertices: numpy.ndarray,
+        grid_x: numpy.ndarray,
+        grid_y: numpy.ndarray
+        ) -> Tuple[numpy.ndarray]:
     """
     Find intersections between a polygon and grid lines
     """
     if vertices.shape[0] != 2:
-        raise FloatRasterError('vertices must be 2xN')
+        raise Exception('vertices must be 2xN')
 
     min_bounds = floor(vertices.min(axis=1))
     max_bounds = ceil(vertices.max(axis=1))
@@ -132,18 +132,18 @@ def find_intersections(
 
 
 def create_vertices(
-        vertices: NDArray[numpy.floating],
-        grid_x: NDArray[numpy.floating],
-        grid_y: NDArray[numpy.floating],
-        new_vertex_data: tuple[NDArray[numpy.float64], NDArray[numpy.float64], NDArray[numpy.float64]] | None = None
+        vertices: numpy.ndarray,
+        grid_x: numpy.ndarray,
+        grid_y: numpy.ndarray,
+        new_vertex_data: Tuple[numpy.ndarray] = None
         ) -> sparse.coo_matrix:
     """
     Create additional vertices where a polygon crosses gridlines
     """
     if vertices.shape[0] != 2:
-        raise FloatRasterError('vertices must be 2xN')
+        raise Exception('vertices must be 2xN')
     if grid_x.size < 1 or grid_y.size < 1:
-        raise FloatRasterError('Grid must contain at least one line in each direction?')
+        raise Exception('Grid must contain at least one line in each direction?')
 
     num_poly_vertices = vertices.shape[1]
 
@@ -180,14 +180,13 @@ def create_vertices(
 
     return vertices
 
-
 def clip_vertices_to_window(
-        vertices: NDArray[numpy.float64],
+        vertices: numpy.ndarray,
         min_x: float = -numpy.inf,
         max_x: float = numpy.inf,
         min_y: float = -numpy.inf,
         max_y: float = numpy.inf
-        ) -> NDArray[numpy.float64]:
+        ) -> numpy.ndarray:
     """
     """
     # Remove points outside the window (these will only be original points)
@@ -206,49 +205,40 @@ def clip_vertices_to_window(
 
 
 def get_raster_parts(
-        vertices: ArrayLike,
-        grid_x: ArrayLike,
-        grid_y: ArrayLike,
+        vertices: numpy.ndarray,
+        grid_x: numpy.ndarray,
+        grid_y: numpy.ndarray
         ) -> sparse.coo_matrix:
     """
-    This function performs the same task as `raster(...)`, but instead of returning a dense array
+    This function performs the same task as raster(...), but instead of returning a dense array
     of pixel values, it returns a sparse array containing the value
-        `(-area + 1j * cover)`
+        (-area + 1j * cover)
     for each pixel which contains a line segment, where
-        `cover`   is the fraction of the pixel's y-length that is traversed by the segment,
-                   multiplied by the sign of `(y_final - y_initial)`
-        `area`    is the fraction of the pixel's area covered by the trapezoid formed by
-                   the line segment's endpoints (clipped to the cell edges) and their projections
-                   onto the pixel's left (i.e., lowest-x) edge, again multiplied by
-                  the sign of `(y_final - y_initial)`
+        cover   is the fraction of the pixel's y-length that is traversed by the segment,
+                 multiplied by the sign of (y_final - y_initial)
+        area    is the fraction of the pixel's area covered by the trapezoid formed by
+                 the line segment's endpoints (clipped to the cell edges) and their projections
+                 onto the pixel's left (i.e., lowest-x) edge, again multiplied by
+                 the sign of (y_final - y_initial)
         Note that polygons are assumed to be wound clockwise.
 
-    The result from `raster(...)` can be obtained with
-        `raster_result = numpy.real(lines_result) + numpy.imag(lines_result).cumsum(axis=0)`
+    The result from raster(...) can be obtained with
+        raster_result = numpy.real(lines_result) + numpy.imag(lines_result).cumsum(axis=0)
 
-    Args:
-        vertices: 2xN ndarray containing `x, y` coordinates for each point in the polygon
-        grid_x: x-coordinates for the edges of each pixel (ie, the leftmost two columns span
-                `x=grid_x[0]` to `x=grid_x[1]` and `x=grid_x[1]` to `x=grid_x[2]`)
-        grid_y: y-coordinates for the edges of each pixel (see `grid_x`)
-
-    Returns:
-        Complex sparse COO matrix containing area and cover information
+    :param vertices: 2xN ndarray containing x,y coordinates for each point in the polygon
+    :param grid_x: x-coordinates for the edges of each pixel (ie, the leftmost two columns span
+        x=grid_x[0] to x=grid_x[1] and x=grid_x[1] to x=grid_x[2])
+    :param grid_y: y-coordinates for the edges of each pixel (see grid_x)
+    :return: Complex sparse COO matrix containing area and cover information
     """
-    vertices = numpy.array(vertices)
-    grid_x = numpy.array(grid_x)
-    grid_y = numpy.array(grid_y)
-
     if grid_x.size < 2 or grid_y.size < 2:
-        raise FloatRasterError('Grid must contain at least one full pixel')
+        raise Exception('Grid must contain at least one full pixel')
 
     num_xy_px = numpy.array([grid_x.size, grid_y.size]) - 1
 
-    vertices = clip_vertices_to_window(
-        vertices,
-        grid_x[0], grid_x[-1],
-        grid_y[0], grid_y[-1],
-        )
+    vertices = clip_vertices_to_window(vertices,
+                                       grid_x[0], grid_x[-1],
+                                       grid_y[0], grid_y[-1])
 
     # If the shape fell completely outside our area, just return a blank grid
     if vertices.size == 0:

float_raster/LICENSE.md

@@ -1 +0,0 @@
-../LICENSE.md

float_raster/README.md

@@ -1 +0,0 @@
-../README.md

float_raster/__init__.py

@@ -1,18 +0,0 @@
-"""
-Module for rasterizing polygons, with float-precision anti-aliasing on
- a non-uniform rectangular grid.
-
-See the documentation for float_raster.raster(...) for details.
-"""
-
-from .float_raster import (
-    raster as raster,
-    find_intersections as find_intersections,
-    create_vertices as create_vertices,
-    clip_vertices_to_window as clip_vertices_to_window,
-    get_raster_parts as get_raster_parts,
-    )
-
-
-__author__ = 'Jan Petykiewicz'
-__version__ = '0.8'

pyproject.toml

@@ -1,82 +0,0 @@
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
-
-[project]
-name = "float_raster"
-description = "High-precision anti-aliasing polygon rasterizer"
-readme = "README.md"
-license = { file = "LICENSE.md" }
-authors = [
-    { name="Jan Petykiewicz", email="jan@mpxd.net" },
-    ]
-homepage = "https://mpxd.net/code/jan/float_raster"
-repository = "https://mpxd.net/code/jan/float_raster"
-keywords = [
-    "coverage",
-    "raster",
-    "anti-alias",
-    "polygon",
-    ]
-classifiers = [
-    "Programming Language :: Python :: 3",
-    "Development Status :: 4 - Beta",
-    "Intended Audience :: Developers",
-    "Intended Audience :: Information Technology",
-    "Intended Audience :: Manufacturing",
-    "Intended Audience :: Science/Research",
-    "License :: OSI Approved :: GNU Affero General Public License v3",
-    "Topic :: Scientific/Engineering",
-    "Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)",
-    "Topic :: Multimedia :: Graphics :: Graphics Conversion",
-    ]
-requires-python = ">=3.11"
-dynamic = ["version"]
-dependencies = [
-    "numpy>=1.26",
-    "scipy~=1.14",
-    ]
-
-[tool.hatch.version]
-path = "float_raster/__init__.py"
-
-
-[tool.ruff]
-exclude = [
-    ".git",
-    "dist",
-    ]
-line-length = 145
-indent-width = 4
-lint.dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
-lint.select = [
-    "NPY", "E", "F", "W", "B", "ANN", "UP", "SLOT", "SIM", "LOG",
-    "C4", "ISC", "PIE", "PT", "RET", "TCH", "PTH", "INT",
-    "ARG", "PL", "R", "TRY",
-    "G010", "G101", "G201", "G202",
-    "Q002", "Q003", "Q004",
-    ]
-lint.ignore = [
-    #"ANN001",   # No annotation
-    "ANN002",   # *args
-    "ANN003",   # **kwargs
-    "ANN401",   # Any
-    "ANN101",   # self: Self
-    "SIM108",   # single-line if / else assignment
-    "RET504",   # x=y+z; return x
-    "PIE790",   # unnecessary pass
-    "ISC003",   # non-implicit string concatenation
-    "C408",     # dict(x=y) instead of {'x': y}
-    "PLR09",    # Too many xxx
-    "PLR2004",  # magic number
-    "PLC0414",  # import x as x
-    "TRY003",   # Long exception message
-    ]
-
-
-[[tool.mypy.overrides]]
-module = [
-    "scipy",
-    "scipy.sparse",
-    ]
-ignore_missing_imports = true

setup.py

@@ -0,0 +1,16 @@
+#!/usr/bin/env python
+
+from setuptools import setup
+
+setup(name='float_raster',
+      version='0.4',
+      description='High-precision anti-aliasing polygon rasterizer',
+      author='Jan Petykiewicz',
+      author_email='anewusername@gmail.com',
+      url='https://mpxd.net/code/jan/float_raster',
+      py_modules=['float_raster'],
+      install_requires=[
+            'numpy',
+            'scipy',
+      ],
+      )