Add ability to scale cursor images

In ImageMagick 7, the semantics of the opacity channel is flipped.

.github/workflows/build.yml

@@ -9,22 +9,30 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ 3.6, 3.7, 3.8, 3.9.0-alpha - 3.9 ]
+        python-version: [ 3.7, 3.8, 3.9, '3.10' ]
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
+      - name: Cache wheels
+        uses: actions/cache@v2
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ matrix.python-version }}-${{ hashFiles('**/requirements.txt') }}
+          restore-keys: |
+            ${{ runner.os }}-pip-${{ matrix.python-version }}
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
-          pip install flake8 flake8-import-order mypy wheel
+          pip install flake8 flake8-import-order mypy wheel coverage
           pip install -r requirements.txt
-          sudo apt-get install x11-apps
+          sudo apt-get install dmz-cursor-theme
       - name: Lint with flake8
         run: flake8 .
       - name: Typecheck with mypy
+        if: matrix.python-version != 3.7
         run: mypy .
       - name: Test packages
         run: python setup.py sdist bdist_wheel
@@ -32,12 +40,20 @@ jobs:
         run: pip install dist/*.whl
       - name: Test with sample/crosshair.cur
         run: |
-          win2xcur sample/crosshair.cur -o /tmp
+          coverage run -m win2xcur.main.win2xcur sample/crosshair.cur -o /tmp
           ls -l /tmp/crosshair
       - name: Test with animated cursors
         run: |
           wget http://www.anicursor.com/waiting.zip
           mkdir ani output
           unzip waiting.zip -d ani
-          win2xcur -s ani/*.ani -o output
+          coverage run -a -m win2xcur.main.win2xcur -s ani/*.ani -o output
           ls -l output/*
+      - name: Test with dmz-cursor-theme
+        run: |
+          mkdir dmz-white
+          coverage run -a -m win2xcur.main.x2wincur /usr/share/icons/DMZ-White/cursors/* -o dmz-white
+          ls -l dmz-white/*
+      - name: Generating coverage report
+        run: coverage xml
+      - uses: codecov/codecov-action@v1

README.md

@@ -1,4 +1,4 @@
-# `win2xcur` [![Build Status](https://img.shields.io/github/workflow/status/quantum5/win2xcur/Python%20package)](https://github.com/quantum5/win2xcur/actions) [![PyPI](https://img.shields.io/pypi/v/win2xcur.svg)](https://pypi.org/project/win2xcur/) [![PyPI - Format](https://img.shields.io/pypi/format/win2xcur.svg)](https://pypi.org/project/win2xcur/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/win2xcur.svg)](https://pypi.org/project/win2xcur/)
+# `win2xcur` and `x2wincur` [![Build Status](https://img.shields.io/github/actions/workflow/status/quantum5/win2xcur/build.yml)](https://github.com/quantum5/win2xcur/actions) [![PyPI](https://img.shields.io/pypi/v/win2xcur.svg)](https://pypi.org/project/win2xcur/) [![PyPI - Format](https://img.shields.io/pypi/format/win2xcur.svg)](https://pypi.org/project/win2xcur/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/win2xcur.svg)](https://pypi.org/project/win2xcur/)
 
 `win2xcur` is a tool that converts cursors from Windows format (`*.cur`,
 `*.ani`) to Xcursor format. This allows Windows cursor themes to be used on
@@ -8,6 +8,10 @@ Linux, for example.
 hotspot and animation delay, and has an optional mode to add shadows that
 replicates Windows's cursor shadow effect.
 
+`x2wincur` is a tool that does the opposite: it converts cursors in the Xcursor
+format to Windows format (`*.cur`, `*.ani`), allowing to use your favourite
+Linux cursor themes on Windows.
+
 ## Installation
 
 To install the latest stable version:
@@ -18,9 +22,10 @@ To install from GitHub:
 
     pip install -e git+https://github.com/quantum5/win2xcur.git
 
-## Usage
+## Usage: `win2xcur`
 
-For example, if you want to convert [the sample cursor](sample/crosshair.cur):
+For example, if you want to convert [the sample cursor](sample/crosshair.cur)
+to Linux format:
 
     mkdir output/
     win2xcur sample/crosshair.cur -o output/
@@ -32,3 +37,18 @@ For example, to convert a directory of cursors with shadows enabled:
     win2xcur input/*.{ani,cur} -o output/ 
 
 For more information, run `win2xcur --help`.
+
+## Usage: `x2wincur`
+
+For example, if you want to convert DMZ-White to Windows:
+
+    mkdir dmz-white/
+    x2wincur /usr/share/icons/DMZ-White/cursors/* -o dmz-white/
+
+## Troubleshooting
+
+`win2xcur` and `x2wincur` should work out of the box on most systems. If you
+are using unconventional distros (e.g. Alpine) and are getting errors related
+to `wand`, please see the [Wand documentation on installation][wand-install].
+
+  [wand-install]: https://docs.wand-py.org/en/0.6.7/guide/install.html

codecov.yml

@@ -0,0 +1,4 @@
+coverage:
+  status:
+    project: off
+    patch: off

mypy.ini

@@ -1,3 +1,4 @@
 [mypy]
 ignore_missing_imports = True
 strict = true
+plugins = numpy.typing.mypy_plugin

requirements.txt

@@ -1 +1,2 @@
+numpy
 Wand

setup.py

@@ -7,13 +7,14 @@ with open(os.path.join(os.path.dirname(__file__), 'README.md')) as f:
 
 setup(
     name='win2xcur',
-    version='0.0.2',
+    version='0.1.2',
     packages=find_packages(),
-    install_requires=['Wand'],
+    install_requires=['numpy', 'Wand'],
 
     entry_points={
         'console_scripts': [
-            'win2xcur = win2xcur.main:main',
+            'win2xcur = win2xcur.main.win2xcur:main',
+            'x2wincur = win2xcur.main.x2wincur:main',
         ],
     },
 

win2xcur/cursor.py

@@ -4,15 +4,23 @@ from wand.sequence import SingleImage
 
 
 class CursorImage:
-    def __init__(self, image: SingleImage, hotspot: Tuple[int, int]) -> None:
+    image: SingleImage
+    hotspot: Tuple[int, int]
+    nominal: int
+
+    def __init__(self, image: SingleImage, hotspot: Tuple[int, int], nominal: int) -> None:
         self.image = image
         self.hotspot = hotspot
+        self.nominal = nominal
 
     def __repr__(self) -> str:
-        return 'CursorImage(image=%r, hotspot=%r)' % (self.image, self.hotspot)
+        return f'CursorImage(image={self.image!r}, hotspot={self.hotspot!r}, nominal={self.nominal!r})'
 
 
 class CursorFrame:
+    images: List[CursorImage]
+    delay: int
+
     def __init__(self, images: List[CursorImage], delay: int = 0) -> None:
         self.images = images
         self.delay = delay
@@ -27,4 +35,4 @@ class CursorFrame:
         return iter(self.images)
 
     def __repr__(self) -> str:
-        return 'CursorFrame(images=%r, delay=%r)' % (self.images, self.delay)
+        return f'CursorFrame(images={self.images!r}, delay={self.delay!r})'

win2xcur/main/win2xcur.py

@@ -7,9 +7,9 @@ from multiprocessing.pool import ThreadPool
 from threading import Lock
 from typing import BinaryIO
 
-from win2xcur import shadow
+from win2xcur import scale, shadow
 from win2xcur.parser import open_blob
-from win2xcur.writer.x11 import check_xcursorgen, to_x11
+from win2xcur.writer import to_x11
 
 
 def main() -> None:
@@ -29,15 +29,15 @@ def main() -> None:
     parser.add_argument('-x', '--shadow-x', type=float, default=0.05,
                         help='x-offset of shadow (as fraction of width)')
     parser.add_argument('-y', '--shadow-y', type=float, default=0.05,
-                        help='x-offset of shadow (as fraction of height)')
+                        help='y-offset of shadow (as fraction of height)')
     parser.add_argument('-c', '--shadow-color', default='#000000',
                         help='color of the shadow')
+    parser.add_argument('--scale', default=None, type=float,
+                        help='Scale the cursor by the specified factor.')
 
     args = parser.parse_args()
     print_lock = Lock()
 
-    check_xcursorgen()
-
     def process(file: BinaryIO) -> None:
         name = file.name
         blob = file.read()
@@ -45,9 +45,11 @@ def main() -> None:
             cursor = open_blob(blob)
         except Exception:
             with print_lock:
-                print('Error occurred while processing %s:' % (name,), file=sys.stderr)
+                print(f'Error occurred while processing {name}:', file=sys.stderr)
                 traceback.print_exc()
         else:
+            if args.scale:
+                scale.apply_to_frames(cursor.frames, scale=args.scale)
             if args.shadow:
                 shadow.apply_to_frames(cursor.frames, color=args.shadow_color, radius=args.shadow_radius,
                                        sigma=args.shadow_sigma, xoffset=args.shadow_x, yoffset=args.shadow_y)

win2xcur/main/x2wincur.py

@@ -0,0 +1,49 @@
+import argparse
+import os
+import sys
+import traceback
+from multiprocessing import cpu_count
+from multiprocessing.pool import ThreadPool
+from threading import Lock
+from typing import BinaryIO
+
+from win2xcur import scale
+from win2xcur.parser import open_blob
+from win2xcur.writer import to_smart
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description='Converts Windows cursors to X11 cursors.')
+    parser.add_argument('files', type=argparse.FileType('rb'), nargs='+',
+                        help='X11 cursor files to convert (no extension)')
+    parser.add_argument('-o', '--output', '--output-dir', default=os.curdir,
+                        help='Directory to store converted cursor files.')
+    parser.add_argument('-S', '--scale', default=None, type=float,
+                        help='Scale the cursor by the specified factor.')
+
+    args = parser.parse_args()
+    print_lock = Lock()
+
+    def process(file: BinaryIO) -> None:
+        name = file.name
+        blob = file.read()
+        try:
+            cursor = open_blob(blob)
+        except Exception:
+            with print_lock:
+                print(f'Error occurred while processing {name}:', file=sys.stderr)
+                traceback.print_exc()
+        else:
+            if args.scale:
+                scale.apply_to_frames(cursor.frames, scale=args.scale)
+            ext, result = to_smart(cursor.frames)
+            output = os.path.join(args.output, os.path.basename(name) + ext)
+            with open(output, 'wb') as f:
+                f.write(result)
+
+    with ThreadPool(cpu_count()) as pool:
+        pool.map(process, args.files)
+
+
+if __name__ == '__main__':
+    main()

win2xcur/parser/__init__.py

@@ -3,8 +3,11 @@ from typing import List, Type
 from win2xcur.parser.ani import ANIParser
 from win2xcur.parser.base import BaseParser
 from win2xcur.parser.cur import CURParser
+from win2xcur.parser.xcursor import XCursorParser
 
-PARSERS: List[Type[BaseParser]] = [CURParser, ANIParser]
+__all__ = ['ANIParser', 'CURParser', 'XCursorParser', 'PARSERS', 'open_blob']
+
+PARSERS: List[Type[BaseParser]] = [CURParser, ANIParser, XCursorParser]
 
 
 def open_blob(blob: bytes) -> BaseParser:

win2xcur/parser/ani.py

@@ -10,7 +10,12 @@ from win2xcur.parser.cur import CURParser
 class ANIParser(BaseParser):
     SIGNATURE = b'RIFF'
     ANI_TYPE = b'ACON'
+    HEADER_CHUNK = b'anih'
+    LIST_CHUNK = b'LIST'
+    SEQ_CHUNK = b'seq '
+    RATE_CHUNK = b'rate'
     FRAME_TYPE = b'fram'
+    ICON_CHUNK = b'icon'
     RIFF_HEADER = struct.Struct('<4sI4s')
     CHUNK_HEADER = struct.Struct('<4sI')
     ANIH_HEADER = struct.Struct('<IIIIIIIII')
@@ -23,8 +28,11 @@ class ANIParser(BaseParser):
         signature: bytes
         size: int
         subtype: bytes
+        try:
             signature, size, subtype = cls.RIFF_HEADER.unpack(blob[:cls.RIFF_HEADER.size])
-        return signature == cls.SIGNATURE and size == len(blob) - 8 and subtype == cls.ANI_TYPE
+        except struct.error:
+            return False
+        return signature == cls.SIGNATURE and subtype == cls.ANI_TYPE
 
     def __init__(self, blob: bytes) -> None:
         super().__init__(blob)
@@ -45,18 +53,21 @@ class ANIParser(BaseParser):
             found += [name]
             offset += size
             if offset >= len(self.blob):
-                raise ValueError('Expected chunk %r, found %r' % (expected, found))
+                raise ValueError(f'Expected chunk {expected!r}, found {found!r}')
         return name, size, offset
 
     def _parse(self, offset: int) -> List[CursorFrame]:
-        _, size, offset = self._read_chunk(offset, expected=[b'anih'])
+        _, size, offset = self._read_chunk(offset, expected=[self.HEADER_CHUNK])
 
         if size != self.ANIH_HEADER.size:
-            raise ValueError('Unexpected anih header size %d, expected %d' % (size, self.ANIH_HEADER.size))
+            raise ValueError(f'Unexpected anih header size {size}, expected {self.ANIH_HEADER.size}')
 
         size, frame_count, step_count, width, height, bit_count, planes, display_rate, flags = self.ANIH_HEADER.unpack(
             self.blob[offset:offset + self.ANIH_HEADER.size])
 
+        if size != self.ANIH_HEADER.size:
+            raise ValueError(f'Unexpected size in anih header {size}, expected {self.ANIH_HEADER.size}')
+
         if not flags & self.ICON_FLAG:
             raise NotImplementedError('Raw BMP images not supported.')
 
@@ -67,30 +78,32 @@ class ANIParser(BaseParser):
         delays = [display_rate for _ in range(step_count)]
 
         while offset < len(self.blob):
-            name, size, offset = self._read_chunk(offset, expected=[b'LIST', b'seq ', b'rate'])
-            if name == b'LIST':
+            name, size, offset = self._read_chunk(offset, expected=[self.LIST_CHUNK, self.SEQ_CHUNK, self.RATE_CHUNK])
+            if name == self.LIST_CHUNK:
                 list_end = offset + size
                 if self.blob[offset:offset + 4] != self.FRAME_TYPE:
-                    raise ValueError('Unexpected RIFF list type: %r, expected %r' %
-                                     (self.blob[offset:offset + 4], self.FRAME_TYPE))
+                    raise ValueError(
+                        f'Unexpected RIFF list type: {self.blob[offset:offset + 4]!r}, expected {self.FRAME_TYPE!r}')
                 offset += 4
 
                 for i in range(frame_count):
-                    _, size, offset = self._read_chunk(offset, expected=[b'icon'])
+                    _, size, offset = self._read_chunk(offset, expected=[self.ICON_CHUNK])
                     frames.append(CURParser(self.blob[offset:offset + size]).frames[0])
                     offset += size
+                    if offset & 1:
+                        offset += 1
 
                 if offset != list_end:
-                    raise ValueError('Wrong RIFF list size: %r, expected %r' % (offset, list_end))
-            elif name == b'seq ':
+                    raise ValueError(f'Wrong RIFF list size: {offset}, expected {list_end}')
+            elif name == self.SEQ_CHUNK:
                 order = [i for i, in self.UNSIGNED.iter_unpack(self.blob[offset:offset + size])]
                 if len(order) != step_count:
-                    raise ValueError('Wrong animation sequence size: %r, expected %r' % (len(order), step_count))
+                    raise ValueError(f'Wrong animation sequence size: {len(order)}, expected {step_count}')
                 offset += size
-            elif name == b'rate':
+            elif name == self.RATE_CHUNK:
                 delays = [i for i, in self.UNSIGNED.iter_unpack(self.blob[offset:offset + size])]
                 if len(delays) != step_count:
-                    raise ValueError('Wrong animation rate size: %r, expected %r' % (len(delays), step_count))
+                    raise ValueError(f'Wrong animation rate size: {len(delays)}, expected {step_count}')
                 offset += size
 
         if len(order) != step_count:

win2xcur/parser/cur.py

@@ -9,6 +9,7 @@ from win2xcur.parser.base import BaseParser
 
 class CURParser(BaseParser):
     MAGIC = b'\0\0\02\0'
+    ICO_TYPE_CUR = 2
     ICON_DIR = struct.Struct('<HHH')
     ICON_DIR_ENTRY = struct.Struct('<BBBBHHII')
 
@@ -21,13 +22,13 @@ class CURParser(BaseParser):
         self._image = Image(blob=blob, format='cur')
         self._hotspots = self._parse_header()
         self.frames = [CursorFrame([
-            CursorImage(image, hotspot) for image, hotspot in zip(self._image.sequence, self._hotspots)
+            CursorImage(image, hotspot, image.width) for image, hotspot in zip(self._image.sequence, self._hotspots)
         ])]
 
     def _parse_header(self) -> List[Tuple[int, int]]:
         reserved, ico_type, image_count = self.ICON_DIR.unpack(self.blob[:self.ICON_DIR.size])
         assert reserved == 0
-        assert ico_type == 2
+        assert ico_type == self.ICO_TYPE_CUR
         assert image_count == len(self._image.sequence)
 
         offset = self.ICON_DIR.size

win2xcur/parser/xcursor.py

@@ -0,0 +1,101 @@
+import struct
+from collections import defaultdict
+from typing import Any, Dict, List, Tuple, cast
+
+from wand.image import Image
+
+from win2xcur.cursor import CursorFrame, CursorImage
+from win2xcur.parser.base import BaseParser
+
+
+class XCursorParser(BaseParser):
+    MAGIC = b'Xcur'
+    VERSION = 0x1_0000
+    FILE_HEADER = struct.Struct('<4sIII')
+    TOC_CHUNK = struct.Struct('<III')
+    CHUNK_IMAGE = 0xFFFD0002
+    IMAGE_HEADER = struct.Struct('<IIIIIIIII')
+
+    @classmethod
+    def can_parse(cls, blob: bytes) -> bool:
+        return blob[:len(cls.MAGIC)] == cls.MAGIC
+
+    def __init__(self, blob: bytes) -> None:
+        super().__init__(blob)
+        self.frames = self._parse()
+
+    def _unpack(self, struct_cls: struct.Struct, offset: int) -> Tuple[Any, ...]:
+        return struct_cls.unpack(self.blob[offset:offset + struct_cls.size])
+
+    def _parse(self) -> List[CursorFrame]:
+        magic, header_size, version, toc_size = self._unpack(self.FILE_HEADER, 0)
+        assert magic == self.MAGIC
+
+        if version != self.VERSION:
+            raise ValueError(f'Unsupported Xcursor version 0x{version:08x}')
+
+        offset = self.FILE_HEADER.size
+        chunks: List[Tuple[int, int, int]] = []
+        for i in range(toc_size):
+            chunk_type, chunk_subtype, position = self._unpack(self.TOC_CHUNK, offset)
+            chunks.append((chunk_type, chunk_subtype, position))
+            offset += self.TOC_CHUNK.size
+
+        images_by_size: Dict[int, List[Tuple[CursorImage, int]]] = defaultdict(list)
+
+        for chunk_type, chunk_subtype, position in chunks:
+            if chunk_type != self.CHUNK_IMAGE:
+                continue
+
+            size, actual_type, nominal_size, version, width, height, x_offset, y_offset, delay = \
+                self._unpack(self.IMAGE_HEADER, position)
+            delay /= 1000
+
+            if size != self.IMAGE_HEADER.size:
+                raise ValueError(f'Unexpected size: {size}, expected {self.IMAGE_HEADER.size}')
+
+            if actual_type != chunk_type:
+                raise ValueError(f'Unexpected chunk type: {actual_type}, expected {chunk_type}')
+
+            if nominal_size != chunk_subtype:
+                raise ValueError(f'Unexpected nominal size: {nominal_size}, expected {chunk_subtype}')
+
+            if width > 0x7FFF:
+                raise ValueError(f'Image width too large: {width}')
+
+            if height > 0x7FFF:
+                raise ValueError(f'Image height too large: {height}')
+
+            if x_offset > width:
+                raise ValueError(f'Hotspot x-coordinate too large: {x_offset}')
+
+            if y_offset > height:
+                raise ValueError(f'Hotspot x-coordinate too large: {y_offset}')
+
+            image_start = position + self.IMAGE_HEADER.size
+            image_size = width * height * 4
+            blob = self.blob[image_start:image_start + image_size]
+            if len(blob) != image_size:
+                raise ValueError(f'Invalid image at {image_start}: expected {image_size} bytes, got {len(blob)} bytes')
+
+            image = Image(width=width, height=height)
+            image.import_pixels(channel_map='BGRA', data=blob)
+            images_by_size[nominal_size].append(
+                (CursorImage(image.sequence[0], (x_offset, y_offset), nominal_size), delay)
+            )
+
+        if len(set(map(len, images_by_size.values()))) != 1:
+            raise ValueError('win2xcur does not support animations where each size has different number of frames')
+
+        result = []
+        for sequence in cast(Any, zip(*images_by_size.values())):
+            images: Tuple[CursorImage, ...]
+            delays: Tuple[int, ...]
+            images, delays = cast(Any, zip(*sequence))
+
+            if len(set(delays)) != 1:
+                raise ValueError('win2xcur does not support animations where each size has a different frame delay')
+
+            result.append(CursorFrame(list(images), delays[0]))
+
+        return result

win2xcur/scale.py

@@ -0,0 +1,12 @@
+from typing import List
+
+from win2xcur.cursor import CursorFrame
+
+
+def apply_to_frames(frames: List[CursorFrame], *, scale: float) -> None:
+    for frame in frames:
+        for cursor in frame:
+            cursor.image.scale(
+                int(round(cursor.image.width * scale)),
+                int(round(cursor.image.height) * scale),
+            )

win2xcur/shadow.py

@@ -1,24 +1,47 @@
 from typing import List
 
-from wand.image import BaseImage, Image
+from wand.color import Color
+from wand.image import BaseImage, COMPOSITE_OPERATORS, Image
 
 from win2xcur.cursor import CursorFrame
 
+if 'copy_opacity' in COMPOSITE_OPERATORS:
+    COPY_ALPHA = 'copy_opacity'  # ImageMagick 6 name
+    NEEDS_NEGATE = False
+else:
+    COPY_ALPHA = 'copy_alpha'  # ImageMagick 7 name
+    NEEDS_NEGATE = True
+
 
 def apply_to_image(image: BaseImage, *, color: str, radius: float, sigma: float, xoffset: float,
                    yoffset: float) -> Image:
-    opacity = Image(width=image.width, height=image.height, pseudo='xc:white')
-    opacity.composite(image.channel_images['opacity'], left=round(xoffset * image.width),
-                      top=round(yoffset * image.height))
+    xoffset = round(xoffset * image.width)
+    yoffset = round(yoffset * image.height)
+    new_width = image.width + 3 * xoffset
+    new_height = image.height + 3 * yoffset
+
+    if NEEDS_NEGATE:
+        channel = image.channel_images['opacity'].clone()
+        channel.negate()
+    else:
+        channel = image.channel_images['opacity']
+
+    opacity = Image(width=new_width, height=new_height, pseudo='xc:white')
+    opacity.composite(channel, left=xoffset, top=yoffset)
     opacity.gaussian_blur(radius * image.width, sigma * image.width)
     opacity.negate()
     opacity.modulate(50)
 
-    shadow = Image(width=image.width, height=image.height, pseudo='xc:' + color)
-    shadow.composite(opacity, operator='copy_opacity')
+    shadow = Image(width=new_width, height=new_height, pseudo='xc:' + color)
+    shadow.composite(opacity, operator=COPY_ALPHA)
 
-    result = image.clone()
-    result.composite(shadow, operator='difference')
+    result = Image(width=new_width, height=new_height, pseudo='xc:transparent')
+    result.composite(shadow)
+    result.composite(image)
+
+    trimmed = result.clone()
+    trimmed.trim(color=Color('transparent'))
+    result.crop(width=max(image.width, trimmed.width), height=max(image.height, trimmed.height))
     return result
 
 

win2xcur/utils.py

@@ -0,0 +1,12 @@
+from typing import Any
+
+import numpy as np
+
+
+def premultiply_alpha(source: bytes) -> bytes:
+    buffer: np.ndarray[Any, np.dtype[np.double]] = np.frombuffer(source, dtype=np.uint8).astype(np.double)
+    alpha = buffer[3::4] / 255.0
+    buffer[0::4] *= alpha
+    buffer[1::4] *= alpha
+    buffer[2::4] *= alpha
+    return buffer.astype(np.uint8).tobytes()

win2xcur/writer/__init__.py

@@ -1,5 +1,10 @@
+from win2xcur.writer.windows import to_ani, to_cur, to_smart
 from win2xcur.writer.x11 import to_x11
 
+__all__ = ['to_ani', 'to_cur', 'to_smart', 'to_x11']
+
 CONVERTERS = {
     'x11': (to_x11, ''),
+    'ani': (to_ani, '.ani'),
+    'cur': (to_cur, '.cur'),
 }

win2xcur/writer/windows.py

@@ -0,0 +1,71 @@
+from io import BytesIO
+from itertools import chain
+from typing import List, Tuple
+
+from win2xcur.cursor import CursorFrame
+from win2xcur.parser import ANIParser, CURParser
+
+
+def to_cur(frame: CursorFrame) -> bytes:
+    header = CURParser.ICON_DIR.pack(0, CURParser.ICO_TYPE_CUR, len(frame))
+    directory: List[bytes] = []
+    image_data: List[bytes] = []
+    offset = CURParser.ICON_DIR.size + len(frame) * CURParser.ICON_DIR_ENTRY.size
+
+    for image in frame:
+        clone = image.image.clone()
+        if clone.width > 256 or clone.height > 256:
+            raise ValueError(f'Image too big for CUR format: {clone.width}x{clone.height}')
+        blob = clone.make_blob('png')
+        image_data.append(blob)
+        x_offset, y_offset = image.hotspot
+        directory.append(CURParser.ICON_DIR_ENTRY.pack(
+            clone.height & 0xFF, clone.height & 0xFF, 0, 0, x_offset, y_offset, len(blob), offset
+        ))
+        offset += len(blob)
+
+    return b''.join(chain([header], directory, image_data))
+
+
+def get_ani_cur_list(frames: List[CursorFrame]) -> bytes:
+    io = BytesIO()
+    for frame in frames:
+        cur_file = to_cur(frame)
+        io.write(ANIParser.CHUNK_HEADER.pack(ANIParser.ICON_CHUNK, len(cur_file)))
+        io.write(cur_file)
+        if len(cur_file) & 1:
+            io.write(b'\0')
+    return io.getvalue()
+
+
+def get_ani_rate_chunk(frames: List[CursorFrame]) -> bytes:
+    io = BytesIO()
+    io.write(ANIParser.CHUNK_HEADER.pack(ANIParser.RATE_CHUNK, ANIParser.UNSIGNED.size * len(frames)))
+    for frame in frames:
+        io.write(ANIParser.UNSIGNED.pack(int(round(frame.delay * 60))))
+    return io.getvalue()
+
+
+def to_ani(frames: List[CursorFrame]) -> bytes:
+    ani_header = ANIParser.ANIH_HEADER.pack(
+        ANIParser.ANIH_HEADER.size, len(frames), len(frames), 0, 0, 32, 1, 1, ANIParser.ICON_FLAG
+    )
+
+    cur_list = get_ani_cur_list(frames)
+    chunks = [
+        ANIParser.CHUNK_HEADER.pack(ANIParser.HEADER_CHUNK, len(ani_header)),
+        ani_header,
+        ANIParser.RIFF_HEADER.pack(ANIParser.LIST_CHUNK, len(cur_list) + 4, ANIParser.FRAME_TYPE),
+        cur_list,
+        get_ani_rate_chunk(frames),
+    ]
+    body = b''.join(chunks)
+    riff_header: bytes = ANIParser.RIFF_HEADER.pack(ANIParser.SIGNATURE, len(body) + 4, ANIParser.ANI_TYPE)
+    return riff_header + body
+
+
+def to_smart(frames: List[CursorFrame]) -> Tuple[str, bytes]:
+    if len(frames) == 1:
+        return '.cur', to_cur(frames[0])
+    else:
+        return '.ani', to_ani(frames)

win2xcur/writer/x11.py

@@ -1,54 +1,50 @@
-import os
-import subprocess
-import sys
-from tempfile import TemporaryDirectory
+from itertools import chain
+from operator import itemgetter
 from typing import List
 
-from wand.image import Image
-
 from win2xcur.cursor import CursorFrame
-
-xcursorgen_checked = False
-
-
-def check_xcursorgen() -> None:
-    global xcursorgen_checked
-    if xcursorgen_checked:
-        return
-
-    try:
-        subprocess.check_call(['xcursorgen', '--version'], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
-    except subprocess.CalledProcessError:
-        raise RuntimeError('xcursorgen must be installed to create X11 cursors!')
-    else:
-        xcursorgen_checked = True
+from win2xcur.parser import XCursorParser
+from win2xcur.utils import premultiply_alpha
 
 
 def to_x11(frames: List[CursorFrame]) -> bytes:
-    check_xcursorgen()
+    chunks = []
 
-    counter = 0
-    configs = []
-    with TemporaryDirectory() as png_dir:
     for frame in frames:
         for cursor in frame:
-                name = '%d.png' % (counter,)
             hx, hy = cursor.hotspot
-                configs.append('%d %d %d %s %d' % (cursor.image.width, hx, hy, name, int(frame.delay * 1000)))
+            header = XCursorParser.IMAGE_HEADER.pack(
+                XCursorParser.IMAGE_HEADER.size,
+                XCursorParser.CHUNK_IMAGE,
+                cursor.nominal,
+                1,
+                cursor.image.width,
+                cursor.image.height,
+                hx,
+                hy,
+                int(frame.delay * 1000),
+            )
+            chunks.append((
+                XCursorParser.CHUNK_IMAGE,
+                cursor.nominal,
+                header + premultiply_alpha(bytes(cursor.image.export_pixels(channel_map='BGRA')))
+            ))
 
-                image = Image(image=cursor.image)
-                image.save(filename=os.path.join(png_dir, name))
-                counter += 1
+    header = XCursorParser.FILE_HEADER.pack(
+        XCursorParser.MAGIC,
+        XCursorParser.FILE_HEADER.size,
+        XCursorParser.VERSION,
+        len(chunks),
+    )
 
-        output_file = os.path.join(png_dir, 'cursor')
-        process = subprocess.Popen(['xcursorgen', '-p', png_dir, '-', output_file], stdin=subprocess.PIPE,
-                                   stderr=subprocess.PIPE)
+    offset = XCursorParser.FILE_HEADER.size + len(chunks) * XCursorParser.TOC_CHUNK.size
+    toc = []
+    for chunk_type, chunk_subtype, chunk in chunks:
+        toc.append(XCursorParser.TOC_CHUNK.pack(
+            chunk_type,
+            chunk_subtype,
+            offset,
+        ))
+        offset += len(chunk)
 
-        _, error = process.communicate('\n'.join(configs).encode(sys.getfilesystemencoding()))
-        if process.wait() != 0:
-            raise RuntimeError('xcursorgen failed: %r' % error)
-
-        with open(output_file, 'rb') as f:
-            result = f.read()
-
-    return result
+    return b''.join(chain([header], toc, map(itemgetter(2), chunks)))