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| from __future__ import annotations |
|
|
| import itertools |
| import math |
| import os |
| import subprocess |
| from enum import IntEnum |
| from functools import cached_property |
| from typing import IO, Any, Literal, NamedTuple, Union, cast |
|
|
| from . import ( |
| Image, |
| ImageChops, |
| ImageFile, |
| ImageMath, |
| ImageOps, |
| ImagePalette, |
| ImageSequence, |
| ) |
| from ._binary import i16le as i16 |
| from ._binary import o8 |
| from ._binary import o16le as o16 |
| from ._util import DeferredError |
|
|
| TYPE_CHECKING = False |
| if TYPE_CHECKING: |
| from . import _imaging |
| from ._typing import Buffer |
|
|
|
|
| class LoadingStrategy(IntEnum): |
| """.. versionadded:: 9.1.0""" |
|
|
| RGB_AFTER_FIRST = 0 |
| RGB_AFTER_DIFFERENT_PALETTE_ONLY = 1 |
| RGB_ALWAYS = 2 |
|
|
|
|
| |
| LOADING_STRATEGY = LoadingStrategy.RGB_AFTER_FIRST |
|
|
| |
| |
|
|
|
|
| def _accept(prefix: bytes) -> bool: |
| return prefix.startswith((b"GIF87a", b"GIF89a")) |
|
|
|
|
| |
| |
| |
|
|
|
|
| class GifImageFile(ImageFile.ImageFile): |
| format = "GIF" |
| format_description = "Compuserve GIF" |
| _close_exclusive_fp_after_loading = False |
|
|
| global_palette = None |
|
|
| def data(self) -> bytes | None: |
| s = self.fp.read(1) |
| if s and s[0]: |
| return self.fp.read(s[0]) |
| return None |
|
|
| def _is_palette_needed(self, p: bytes) -> bool: |
| for i in range(0, len(p), 3): |
| if not (i // 3 == p[i] == p[i + 1] == p[i + 2]): |
| return True |
| return False |
|
|
| def _open(self) -> None: |
| |
| s = self.fp.read(13) |
| if not _accept(s): |
| msg = "not a GIF file" |
| raise SyntaxError(msg) |
|
|
| self.info["version"] = s[:6] |
| self._size = i16(s, 6), i16(s, 8) |
| flags = s[10] |
| bits = (flags & 7) + 1 |
|
|
| if flags & 128: |
| |
| self.info["background"] = s[11] |
| |
| p = self.fp.read(3 << bits) |
| if self._is_palette_needed(p): |
| p = ImagePalette.raw("RGB", p) |
| self.global_palette = self.palette = p |
|
|
| self._fp = self.fp |
| self.__rewind = self.fp.tell() |
| self._n_frames: int | None = None |
| self._seek(0) |
|
|
| @property |
| def n_frames(self) -> int: |
| if self._n_frames is None: |
| current = self.tell() |
| try: |
| while True: |
| self._seek(self.tell() + 1, False) |
| except EOFError: |
| self._n_frames = self.tell() + 1 |
| self.seek(current) |
| return self._n_frames |
|
|
| @cached_property |
| def is_animated(self) -> bool: |
| if self._n_frames is not None: |
| return self._n_frames != 1 |
|
|
| current = self.tell() |
| if current: |
| return True |
|
|
| try: |
| self._seek(1, False) |
| is_animated = True |
| except EOFError: |
| is_animated = False |
|
|
| self.seek(current) |
| return is_animated |
|
|
| def seek(self, frame: int) -> None: |
| if not self._seek_check(frame): |
| return |
| if frame < self.__frame: |
| self._im = None |
| self._seek(0) |
|
|
| last_frame = self.__frame |
| for f in range(self.__frame + 1, frame + 1): |
| try: |
| self._seek(f) |
| except EOFError as e: |
| self.seek(last_frame) |
| msg = "no more images in GIF file" |
| raise EOFError(msg) from e |
|
|
| def _seek(self, frame: int, update_image: bool = True) -> None: |
| if isinstance(self._fp, DeferredError): |
| raise self._fp.ex |
| if frame == 0: |
| |
| self.__offset = 0 |
| self.dispose: _imaging.ImagingCore | None = None |
| self.__frame = -1 |
| self._fp.seek(self.__rewind) |
| self.disposal_method = 0 |
| if "comment" in self.info: |
| del self.info["comment"] |
| else: |
| |
| if self.tile and update_image: |
| self.load() |
|
|
| if frame != self.__frame + 1: |
| msg = f"cannot seek to frame {frame}" |
| raise ValueError(msg) |
|
|
| self.fp = self._fp |
| if self.__offset: |
| |
| self.fp.seek(self.__offset) |
| while self.data(): |
| pass |
| self.__offset = 0 |
|
|
| s = self.fp.read(1) |
| if not s or s == b";": |
| msg = "no more images in GIF file" |
| raise EOFError(msg) |
|
|
| palette: ImagePalette.ImagePalette | Literal[False] | None = None |
|
|
| info: dict[str, Any] = {} |
| frame_transparency = None |
| interlace = None |
| frame_dispose_extent = None |
| while True: |
| if not s: |
| s = self.fp.read(1) |
| if not s or s == b";": |
| break |
|
|
| elif s == b"!": |
| |
| |
| |
| s = self.fp.read(1) |
| block = self.data() |
| if s[0] == 249 and block is not None: |
| |
| |
| |
| flags = block[0] |
| if flags & 1: |
| frame_transparency = block[3] |
| info["duration"] = i16(block, 1) * 10 |
|
|
| |
| dispose_bits = 0b00011100 & flags |
| dispose_bits = dispose_bits >> 2 |
| if dispose_bits: |
| |
| |
| |
| |
| self.disposal_method = dispose_bits |
| elif s[0] == 254: |
| |
| |
| |
| comment = b"" |
|
|
| |
| while block: |
| comment += block |
| block = self.data() |
|
|
| if "comment" in info: |
| |
| info["comment"] += b"\n" + comment |
| else: |
| info["comment"] = comment |
| s = None |
| continue |
| elif s[0] == 255 and frame == 0 and block is not None: |
| |
| |
| |
| info["extension"] = block, self.fp.tell() |
| if block.startswith(b"NETSCAPE2.0"): |
| block = self.data() |
| if block and len(block) >= 3 and block[0] == 1: |
| self.info["loop"] = i16(block, 1) |
| while self.data(): |
| pass |
|
|
| elif s == b",": |
| |
| |
| |
| s = self.fp.read(9) |
|
|
| |
| x0, y0 = i16(s, 0), i16(s, 2) |
| x1, y1 = x0 + i16(s, 4), y0 + i16(s, 6) |
| if (x1 > self.size[0] or y1 > self.size[1]) and update_image: |
| self._size = max(x1, self.size[0]), max(y1, self.size[1]) |
| Image._decompression_bomb_check(self._size) |
| frame_dispose_extent = x0, y0, x1, y1 |
| flags = s[8] |
|
|
| interlace = (flags & 64) != 0 |
|
|
| if flags & 128: |
| bits = (flags & 7) + 1 |
| p = self.fp.read(3 << bits) |
| if self._is_palette_needed(p): |
| palette = ImagePalette.raw("RGB", p) |
| else: |
| palette = False |
|
|
| |
| bits = self.fp.read(1)[0] |
| self.__offset = self.fp.tell() |
| break |
| s = None |
|
|
| if interlace is None: |
| msg = "image not found in GIF frame" |
| raise EOFError(msg) |
|
|
| self.__frame = frame |
| if not update_image: |
| return |
|
|
| self.tile = [] |
|
|
| if self.dispose: |
| self.im.paste(self.dispose, self.dispose_extent) |
|
|
| self._frame_palette = palette if palette is not None else self.global_palette |
| self._frame_transparency = frame_transparency |
| if frame == 0: |
| if self._frame_palette: |
| if LOADING_STRATEGY == LoadingStrategy.RGB_ALWAYS: |
| self._mode = "RGBA" if frame_transparency is not None else "RGB" |
| else: |
| self._mode = "P" |
| else: |
| self._mode = "L" |
|
|
| if palette: |
| self.palette = palette |
| elif self.global_palette: |
| from copy import copy |
|
|
| self.palette = copy(self.global_palette) |
| else: |
| self.palette = None |
| else: |
| if self.mode == "P": |
| if ( |
| LOADING_STRATEGY != LoadingStrategy.RGB_AFTER_DIFFERENT_PALETTE_ONLY |
| or palette |
| ): |
| if "transparency" in self.info: |
| self.im.putpalettealpha(self.info["transparency"], 0) |
| self.im = self.im.convert("RGBA", Image.Dither.FLOYDSTEINBERG) |
| self._mode = "RGBA" |
| del self.info["transparency"] |
| else: |
| self._mode = "RGB" |
| self.im = self.im.convert("RGB", Image.Dither.FLOYDSTEINBERG) |
|
|
| def _rgb(color: int) -> tuple[int, int, int]: |
| if self._frame_palette: |
| if color * 3 + 3 > len(self._frame_palette.palette): |
| color = 0 |
| return cast( |
| tuple[int, int, int], |
| tuple(self._frame_palette.palette[color * 3 : color * 3 + 3]), |
| ) |
| else: |
| return (color, color, color) |
|
|
| self.dispose = None |
| self.dispose_extent: tuple[int, int, int, int] | None = frame_dispose_extent |
| if self.dispose_extent and self.disposal_method >= 2: |
| try: |
| if self.disposal_method == 2: |
| |
|
|
| |
| x0, y0, x1, y1 = self.dispose_extent |
| dispose_size = (x1 - x0, y1 - y0) |
|
|
| Image._decompression_bomb_check(dispose_size) |
|
|
| |
| dispose_mode = "P" |
| color = self.info.get("transparency", frame_transparency) |
| if color is not None: |
| if self.mode in ("RGB", "RGBA"): |
| dispose_mode = "RGBA" |
| color = _rgb(color) + (0,) |
| else: |
| color = self.info.get("background", 0) |
| if self.mode in ("RGB", "RGBA"): |
| dispose_mode = "RGB" |
| color = _rgb(color) |
| self.dispose = Image.core.fill(dispose_mode, dispose_size, color) |
| else: |
| |
| if self._im is not None: |
| |
| self.dispose = self._crop(self.im, self.dispose_extent) |
| elif frame_transparency is not None: |
| x0, y0, x1, y1 = self.dispose_extent |
| dispose_size = (x1 - x0, y1 - y0) |
|
|
| Image._decompression_bomb_check(dispose_size) |
| dispose_mode = "P" |
| color = frame_transparency |
| if self.mode in ("RGB", "RGBA"): |
| dispose_mode = "RGBA" |
| color = _rgb(frame_transparency) + (0,) |
| self.dispose = Image.core.fill( |
| dispose_mode, dispose_size, color |
| ) |
| except AttributeError: |
| pass |
|
|
| if interlace is not None: |
| transparency = -1 |
| if frame_transparency is not None: |
| if frame == 0: |
| if LOADING_STRATEGY != LoadingStrategy.RGB_ALWAYS: |
| self.info["transparency"] = frame_transparency |
| elif self.mode not in ("RGB", "RGBA"): |
| transparency = frame_transparency |
| self.tile = [ |
| ImageFile._Tile( |
| "gif", |
| (x0, y0, x1, y1), |
| self.__offset, |
| (bits, interlace, transparency), |
| ) |
| ] |
|
|
| if info.get("comment"): |
| self.info["comment"] = info["comment"] |
| for k in ["duration", "extension"]: |
| if k in info: |
| self.info[k] = info[k] |
| elif k in self.info: |
| del self.info[k] |
|
|
| def load_prepare(self) -> None: |
| temp_mode = "P" if self._frame_palette else "L" |
| self._prev_im = None |
| if self.__frame == 0: |
| if self._frame_transparency is not None: |
| self.im = Image.core.fill( |
| temp_mode, self.size, self._frame_transparency |
| ) |
| elif self.mode in ("RGB", "RGBA"): |
| self._prev_im = self.im |
| if self._frame_palette: |
| self.im = Image.core.fill("P", self.size, self._frame_transparency or 0) |
| self.im.putpalette("RGB", *self._frame_palette.getdata()) |
| else: |
| self._im = None |
| if not self._prev_im and self._im is not None and self.size != self.im.size: |
| expanded_im = Image.core.fill(self.im.mode, self.size) |
| if self._frame_palette: |
| expanded_im.putpalette("RGB", *self._frame_palette.getdata()) |
| expanded_im.paste(self.im, (0, 0) + self.im.size) |
|
|
| self.im = expanded_im |
| self._mode = temp_mode |
| self._frame_palette = None |
|
|
| super().load_prepare() |
|
|
| def load_end(self) -> None: |
| if self.__frame == 0: |
| if self.mode == "P" and LOADING_STRATEGY == LoadingStrategy.RGB_ALWAYS: |
| if self._frame_transparency is not None: |
| self.im.putpalettealpha(self._frame_transparency, 0) |
| self._mode = "RGBA" |
| else: |
| self._mode = "RGB" |
| self.im = self.im.convert(self.mode, Image.Dither.FLOYDSTEINBERG) |
| return |
| if not self._prev_im: |
| return |
| if self.size != self._prev_im.size: |
| if self._frame_transparency is not None: |
| expanded_im = Image.core.fill("RGBA", self.size) |
| else: |
| expanded_im = Image.core.fill("P", self.size) |
| expanded_im.putpalette("RGB", "RGB", self.im.getpalette()) |
| expanded_im = expanded_im.convert("RGB") |
| expanded_im.paste(self._prev_im, (0, 0) + self._prev_im.size) |
|
|
| self._prev_im = expanded_im |
| assert self._prev_im is not None |
| if self._frame_transparency is not None: |
| if self.mode == "L": |
| frame_im = self.im.convert_transparent("LA", self._frame_transparency) |
| else: |
| self.im.putpalettealpha(self._frame_transparency, 0) |
| frame_im = self.im.convert("RGBA") |
| else: |
| frame_im = self.im.convert("RGB") |
|
|
| assert self.dispose_extent is not None |
| frame_im = self._crop(frame_im, self.dispose_extent) |
|
|
| self.im = self._prev_im |
| self._mode = self.im.mode |
| if frame_im.mode in ("LA", "RGBA"): |
| self.im.paste(frame_im, self.dispose_extent, frame_im) |
| else: |
| self.im.paste(frame_im, self.dispose_extent) |
|
|
| def tell(self) -> int: |
| return self.__frame |
|
|
|
|
| |
| |
|
|
|
|
| RAWMODE = {"1": "L", "L": "L", "P": "P"} |
|
|
|
|
| def _normalize_mode(im: Image.Image) -> Image.Image: |
| """ |
| Takes an image (or frame), returns an image in a mode that is appropriate |
| for saving in a Gif. |
| |
| It may return the original image, or it may return an image converted to |
| palette or 'L' mode. |
| |
| :param im: Image object |
| :returns: Image object |
| """ |
| if im.mode in RAWMODE: |
| im.load() |
| return im |
| if Image.getmodebase(im.mode) == "RGB": |
| im = im.convert("P", palette=Image.Palette.ADAPTIVE) |
| assert im.palette is not None |
| if im.palette.mode == "RGBA": |
| for rgba in im.palette.colors: |
| if rgba[3] == 0: |
| im.info["transparency"] = im.palette.colors[rgba] |
| break |
| return im |
| return im.convert("L") |
|
|
|
|
| _Palette = Union[bytes, bytearray, list[int], ImagePalette.ImagePalette] |
|
|
|
|
| def _normalize_palette( |
| im: Image.Image, palette: _Palette | None, info: dict[str, Any] |
| ) -> Image.Image: |
| """ |
| Normalizes the palette for image. |
| - Sets the palette to the incoming palette, if provided. |
| - Ensures that there's a palette for L mode images |
| - Optimizes the palette if necessary/desired. |
| |
| :param im: Image object |
| :param palette: bytes object containing the source palette, or .... |
| :param info: encoderinfo |
| :returns: Image object |
| """ |
| source_palette = None |
| if palette: |
| |
| if isinstance(palette, (bytes, bytearray, list)): |
| source_palette = bytearray(palette[:768]) |
| if isinstance(palette, ImagePalette.ImagePalette): |
| source_palette = bytearray(palette.palette) |
|
|
| if im.mode == "P": |
| if not source_palette: |
| im_palette = im.getpalette(None) |
| assert im_palette is not None |
| source_palette = bytearray(im_palette) |
| else: |
| if not source_palette: |
| source_palette = bytearray(i // 3 for i in range(768)) |
| im.palette = ImagePalette.ImagePalette("RGB", palette=source_palette) |
| assert source_palette is not None |
|
|
| if palette: |
| used_palette_colors: list[int | None] = [] |
| assert im.palette is not None |
| for i in range(0, len(source_palette), 3): |
| source_color = tuple(source_palette[i : i + 3]) |
| index = im.palette.colors.get(source_color) |
| if index in used_palette_colors: |
| index = None |
| used_palette_colors.append(index) |
| for i, index in enumerate(used_palette_colors): |
| if index is None: |
| for j in range(len(used_palette_colors)): |
| if j not in used_palette_colors: |
| used_palette_colors[i] = j |
| break |
| dest_map: list[int] = [] |
| for index in used_palette_colors: |
| assert index is not None |
| dest_map.append(index) |
| im = im.remap_palette(dest_map) |
| else: |
| optimized_palette_colors = _get_optimize(im, info) |
| if optimized_palette_colors is not None: |
| im = im.remap_palette(optimized_palette_colors, source_palette) |
| if "transparency" in info: |
| try: |
| info["transparency"] = optimized_palette_colors.index( |
| info["transparency"] |
| ) |
| except ValueError: |
| del info["transparency"] |
| return im |
|
|
| assert im.palette is not None |
| im.palette.palette = source_palette |
| return im |
|
|
|
|
| def _write_single_frame( |
| im: Image.Image, |
| fp: IO[bytes], |
| palette: _Palette | None, |
| ) -> None: |
| im_out = _normalize_mode(im) |
| for k, v in im_out.info.items(): |
| if isinstance(k, str): |
| im.encoderinfo.setdefault(k, v) |
| im_out = _normalize_palette(im_out, palette, im.encoderinfo) |
|
|
| for s in _get_global_header(im_out, im.encoderinfo): |
| fp.write(s) |
|
|
| |
| flags = 0 |
| if get_interlace(im): |
| flags = flags | 64 |
| _write_local_header(fp, im, (0, 0), flags) |
|
|
| im_out.encoderconfig = (8, get_interlace(im)) |
| ImageFile._save( |
| im_out, fp, [ImageFile._Tile("gif", (0, 0) + im.size, 0, RAWMODE[im_out.mode])] |
| ) |
|
|
| fp.write(b"\0") |
|
|
|
|
| def _getbbox( |
| base_im: Image.Image, im_frame: Image.Image |
| ) -> tuple[Image.Image, tuple[int, int, int, int] | None]: |
| palette_bytes = [ |
| bytes(im.palette.palette) if im.palette else b"" for im in (base_im, im_frame) |
| ] |
| if palette_bytes[0] != palette_bytes[1]: |
| im_frame = im_frame.convert("RGBA") |
| base_im = base_im.convert("RGBA") |
| delta = ImageChops.subtract_modulo(im_frame, base_im) |
| return delta, delta.getbbox(alpha_only=False) |
|
|
|
|
| class _Frame(NamedTuple): |
| im: Image.Image |
| bbox: tuple[int, int, int, int] | None |
| encoderinfo: dict[str, Any] |
|
|
|
|
| def _write_multiple_frames( |
| im: Image.Image, fp: IO[bytes], palette: _Palette | None |
| ) -> bool: |
| duration = im.encoderinfo.get("duration") |
| disposal = im.encoderinfo.get("disposal", im.info.get("disposal")) |
|
|
| im_frames: list[_Frame] = [] |
| previous_im: Image.Image | None = None |
| frame_count = 0 |
| background_im = None |
| for imSequence in itertools.chain([im], im.encoderinfo.get("append_images", [])): |
| for im_frame in ImageSequence.Iterator(imSequence): |
| |
| im_frame = _normalize_mode(im_frame.copy()) |
| if frame_count == 0: |
| for k, v in im_frame.info.items(): |
| if k == "transparency": |
| continue |
| if isinstance(k, str): |
| im.encoderinfo.setdefault(k, v) |
|
|
| encoderinfo = im.encoderinfo.copy() |
| if "transparency" in im_frame.info: |
| encoderinfo.setdefault("transparency", im_frame.info["transparency"]) |
| im_frame = _normalize_palette(im_frame, palette, encoderinfo) |
| if isinstance(duration, (list, tuple)): |
| encoderinfo["duration"] = duration[frame_count] |
| elif duration is None and "duration" in im_frame.info: |
| encoderinfo["duration"] = im_frame.info["duration"] |
| if isinstance(disposal, (list, tuple)): |
| encoderinfo["disposal"] = disposal[frame_count] |
| frame_count += 1 |
|
|
| diff_frame = None |
| if im_frames and previous_im: |
| |
| delta, bbox = _getbbox(previous_im, im_frame) |
| if not bbox: |
| |
| if encoderinfo.get("duration"): |
| im_frames[-1].encoderinfo["duration"] += encoderinfo["duration"] |
| continue |
| if im_frames[-1].encoderinfo.get("disposal") == 2: |
| |
| |
| color = im.encoderinfo.get( |
| "transparency", im.info.get("transparency") |
| ) |
| if color is not None: |
| if background_im is None: |
| background = _get_background(im_frame, color) |
| background_im = Image.new("P", im_frame.size, background) |
| first_palette = im_frames[0].im.palette |
| assert first_palette is not None |
| background_im.putpalette(first_palette, first_palette.mode) |
| bbox = _getbbox(background_im, im_frame)[1] |
| else: |
| bbox = (0, 0) + im_frame.size |
| elif encoderinfo.get("optimize") and im_frame.mode != "1": |
| if "transparency" not in encoderinfo: |
| assert im_frame.palette is not None |
| try: |
| encoderinfo["transparency"] = ( |
| im_frame.palette._new_color_index(im_frame) |
| ) |
| except ValueError: |
| pass |
| if "transparency" in encoderinfo: |
| |
| diff_frame = im_frame.copy() |
| fill = Image.new("P", delta.size, encoderinfo["transparency"]) |
| if delta.mode == "RGBA": |
| r, g, b, a = delta.split() |
| mask = ImageMath.lambda_eval( |
| lambda args: args["convert"]( |
| args["max"]( |
| args["max"]( |
| args["max"](args["r"], args["g"]), args["b"] |
| ), |
| args["a"], |
| ) |
| * 255, |
| "1", |
| ), |
| r=r, |
| g=g, |
| b=b, |
| a=a, |
| ) |
| else: |
| if delta.mode == "P": |
| |
| delta_l = Image.new("L", delta.size) |
| delta_l.putdata(delta.getdata()) |
| delta = delta_l |
| mask = ImageMath.lambda_eval( |
| lambda args: args["convert"](args["im"] * 255, "1"), |
| im=delta, |
| ) |
| diff_frame.paste(fill, mask=ImageOps.invert(mask)) |
| else: |
| bbox = None |
| previous_im = im_frame |
| im_frames.append(_Frame(diff_frame or im_frame, bbox, encoderinfo)) |
|
|
| if len(im_frames) == 1: |
| if "duration" in im.encoderinfo: |
| |
| im.encoderinfo["duration"] = im_frames[0].encoderinfo["duration"] |
| return False |
|
|
| for frame_data in im_frames: |
| im_frame = frame_data.im |
| if not frame_data.bbox: |
| |
| for s in _get_global_header(im_frame, frame_data.encoderinfo): |
| fp.write(s) |
| offset = (0, 0) |
| else: |
| |
| if not palette: |
| frame_data.encoderinfo["include_color_table"] = True |
|
|
| if frame_data.bbox != (0, 0) + im_frame.size: |
| im_frame = im_frame.crop(frame_data.bbox) |
| offset = frame_data.bbox[:2] |
| _write_frame_data(fp, im_frame, offset, frame_data.encoderinfo) |
| return True |
|
|
|
|
| def _save_all(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None: |
| _save(im, fp, filename, save_all=True) |
|
|
|
|
| def _save( |
| im: Image.Image, fp: IO[bytes], filename: str | bytes, save_all: bool = False |
| ) -> None: |
| |
| if "palette" in im.encoderinfo or "palette" in im.info: |
| palette = im.encoderinfo.get("palette", im.info.get("palette")) |
| else: |
| palette = None |
| im.encoderinfo.setdefault("optimize", True) |
|
|
| if not save_all or not _write_multiple_frames(im, fp, palette): |
| _write_single_frame(im, fp, palette) |
|
|
| fp.write(b";") |
|
|
| if hasattr(fp, "flush"): |
| fp.flush() |
|
|
|
|
| def get_interlace(im: Image.Image) -> int: |
| interlace = im.encoderinfo.get("interlace", 1) |
|
|
| |
| if min(im.size) < 16: |
| interlace = 0 |
|
|
| return interlace |
|
|
|
|
| def _write_local_header( |
| fp: IO[bytes], im: Image.Image, offset: tuple[int, int], flags: int |
| ) -> None: |
| try: |
| transparency = im.encoderinfo["transparency"] |
| except KeyError: |
| transparency = None |
|
|
| if "duration" in im.encoderinfo: |
| duration = int(im.encoderinfo["duration"] / 10) |
| else: |
| duration = 0 |
|
|
| disposal = int(im.encoderinfo.get("disposal", 0)) |
|
|
| if transparency is not None or duration != 0 or disposal: |
| packed_flag = 1 if transparency is not None else 0 |
| packed_flag |= disposal << 2 |
|
|
| fp.write( |
| b"!" |
| + o8(249) |
| + o8(4) |
| + o8(packed_flag) |
| + o16(duration) |
| + o8(transparency or 0) |
| + o8(0) |
| ) |
|
|
| include_color_table = im.encoderinfo.get("include_color_table") |
| if include_color_table: |
| palette_bytes = _get_palette_bytes(im) |
| color_table_size = _get_color_table_size(palette_bytes) |
| if color_table_size: |
| flags = flags | 128 |
| flags = flags | color_table_size |
|
|
| fp.write( |
| b"," |
| + o16(offset[0]) |
| + o16(offset[1]) |
| + o16(im.size[0]) |
| + o16(im.size[1]) |
| + o8(flags) |
| ) |
| if include_color_table and color_table_size: |
| fp.write(_get_header_palette(palette_bytes)) |
| fp.write(o8(8)) |
|
|
|
|
| def _save_netpbm(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None: |
| |
| |
| |
| |
| |
| |
| tempfile = im._dump() |
|
|
| try: |
| with open(filename, "wb") as f: |
| if im.mode != "RGB": |
| subprocess.check_call( |
| ["ppmtogif", tempfile], stdout=f, stderr=subprocess.DEVNULL |
| ) |
| else: |
| |
| |
| quant_cmd = ["ppmquant", "256", tempfile] |
| togif_cmd = ["ppmtogif"] |
| quant_proc = subprocess.Popen( |
| quant_cmd, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL |
| ) |
| togif_proc = subprocess.Popen( |
| togif_cmd, |
| stdin=quant_proc.stdout, |
| stdout=f, |
| stderr=subprocess.DEVNULL, |
| ) |
|
|
| |
| assert quant_proc.stdout is not None |
| quant_proc.stdout.close() |
|
|
| retcode = quant_proc.wait() |
| if retcode: |
| raise subprocess.CalledProcessError(retcode, quant_cmd) |
|
|
| retcode = togif_proc.wait() |
| if retcode: |
| raise subprocess.CalledProcessError(retcode, togif_cmd) |
| finally: |
| try: |
| os.unlink(tempfile) |
| except OSError: |
| pass |
|
|
|
|
| |
| |
| _FORCE_OPTIMIZE = False |
|
|
|
|
| def _get_optimize(im: Image.Image, info: dict[str, Any]) -> list[int] | None: |
| """ |
| Palette optimization is a potentially expensive operation. |
| |
| This function determines if the palette should be optimized using |
| some heuristics, then returns the list of palette entries in use. |
| |
| :param im: Image object |
| :param info: encoderinfo |
| :returns: list of indexes of palette entries in use, or None |
| """ |
| if im.mode in ("P", "L") and info and info.get("optimize"): |
| |
|
|
| |
| |
| |
| |
| |
| |
|
|
| |
| optimise = _FORCE_OPTIMIZE or im.mode == "L" |
| if optimise or im.width * im.height < 512 * 512: |
| |
| used_palette_colors = [] |
| for i, count in enumerate(im.histogram()): |
| if count: |
| used_palette_colors.append(i) |
|
|
| if optimise or max(used_palette_colors) >= len(used_palette_colors): |
| return used_palette_colors |
|
|
| assert im.palette is not None |
| num_palette_colors = len(im.palette.palette) // Image.getmodebands( |
| im.palette.mode |
| ) |
| current_palette_size = 1 << (num_palette_colors - 1).bit_length() |
| if ( |
| |
| len(used_palette_colors) <= current_palette_size // 2 |
| |
| and current_palette_size > 2 |
| ): |
| return used_palette_colors |
| return None |
|
|
|
|
| def _get_color_table_size(palette_bytes: bytes) -> int: |
| |
| if not palette_bytes: |
| return 0 |
| elif len(palette_bytes) < 9: |
| return 1 |
| else: |
| return math.ceil(math.log(len(palette_bytes) // 3, 2)) - 1 |
|
|
|
|
| def _get_header_palette(palette_bytes: bytes) -> bytes: |
| """ |
| Returns the palette, null padded to the next power of 2 (*3) bytes |
| suitable for direct inclusion in the GIF header |
| |
| :param palette_bytes: Unpadded palette bytes, in RGBRGB form |
| :returns: Null padded palette |
| """ |
| color_table_size = _get_color_table_size(palette_bytes) |
|
|
| |
| |
| actual_target_size_diff = (2 << color_table_size) - len(palette_bytes) // 3 |
| if actual_target_size_diff > 0: |
| palette_bytes += o8(0) * 3 * actual_target_size_diff |
| return palette_bytes |
|
|
|
|
| def _get_palette_bytes(im: Image.Image) -> bytes: |
| """ |
| Gets the palette for inclusion in the gif header |
| |
| :param im: Image object |
| :returns: Bytes, len<=768 suitable for inclusion in gif header |
| """ |
| if not im.palette: |
| return b"" |
|
|
| palette = bytes(im.palette.palette) |
| if im.palette.mode == "RGBA": |
| palette = b"".join(palette[i * 4 : i * 4 + 3] for i in range(len(palette) // 3)) |
| return palette |
|
|
|
|
| def _get_background( |
| im: Image.Image, |
| info_background: int | tuple[int, int, int] | tuple[int, int, int, int] | None, |
| ) -> int: |
| background = 0 |
| if info_background: |
| if isinstance(info_background, tuple): |
| |
| |
| |
| assert im.palette is not None |
| try: |
| background = im.palette.getcolor(info_background, im) |
| except ValueError as e: |
| if str(e) not in ( |
| |
| |
| "cannot allocate more than 256 colors", |
| |
| "cannot add non-opaque RGBA color to RGB palette", |
| ): |
| raise |
| else: |
| background = info_background |
| return background |
|
|
|
|
| def _get_global_header(im: Image.Image, info: dict[str, Any]) -> list[bytes]: |
| """Return a list of strings representing a GIF header""" |
|
|
| |
| |
|
|
| version = b"87a" |
| if im.info.get("version") == b"89a" or ( |
| info |
| and ( |
| "transparency" in info |
| or info.get("loop") is not None |
| or info.get("duration") |
| or info.get("comment") |
| ) |
| ): |
| version = b"89a" |
|
|
| background = _get_background(im, info.get("background")) |
|
|
| palette_bytes = _get_palette_bytes(im) |
| color_table_size = _get_color_table_size(palette_bytes) |
|
|
| header = [ |
| b"GIF" |
| + version |
| + o16(im.size[0]) |
| + o16(im.size[1]), |
| |
| |
| o8(color_table_size + 128), |
| |
| o8(background) + o8(0), |
| |
| _get_header_palette(palette_bytes), |
| ] |
| if info.get("loop") is not None: |
| header.append( |
| b"!" |
| + o8(255) |
| + o8(11) |
| + b"NETSCAPE2.0" |
| + o8(3) |
| + o8(1) |
| + o16(info["loop"]) |
| + o8(0) |
| ) |
| if info.get("comment"): |
| comment_block = b"!" + o8(254) |
|
|
| comment = info["comment"] |
| if isinstance(comment, str): |
| comment = comment.encode() |
| for i in range(0, len(comment), 255): |
| subblock = comment[i : i + 255] |
| comment_block += o8(len(subblock)) + subblock |
|
|
| comment_block += o8(0) |
| header.append(comment_block) |
| return header |
|
|
|
|
| def _write_frame_data( |
| fp: IO[bytes], |
| im_frame: Image.Image, |
| offset: tuple[int, int], |
| params: dict[str, Any], |
| ) -> None: |
| try: |
| im_frame.encoderinfo = params |
|
|
| |
| _write_local_header(fp, im_frame, offset, 0) |
|
|
| ImageFile._save( |
| im_frame, |
| fp, |
| [ImageFile._Tile("gif", (0, 0) + im_frame.size, 0, RAWMODE[im_frame.mode])], |
| ) |
|
|
| fp.write(b"\0") |
| finally: |
| del im_frame.encoderinfo |
|
|
|
|
| |
| |
|
|
|
|
| def getheader( |
| im: Image.Image, palette: _Palette | None = None, info: dict[str, Any] | None = None |
| ) -> tuple[list[bytes], list[int] | None]: |
| """ |
| Legacy Method to get Gif data from image. |
| |
| Warning:: May modify image data. |
| |
| :param im: Image object |
| :param palette: bytes object containing the source palette, or .... |
| :param info: encoderinfo |
| :returns: tuple of(list of header items, optimized palette) |
| |
| """ |
| if info is None: |
| info = {} |
|
|
| used_palette_colors = _get_optimize(im, info) |
|
|
| if "background" not in info and "background" in im.info: |
| info["background"] = im.info["background"] |
|
|
| im_mod = _normalize_palette(im, palette, info) |
| im.palette = im_mod.palette |
| im.im = im_mod.im |
| header = _get_global_header(im, info) |
|
|
| return header, used_palette_colors |
|
|
|
|
| def getdata( |
| im: Image.Image, offset: tuple[int, int] = (0, 0), **params: Any |
| ) -> list[bytes]: |
| """ |
| Legacy Method |
| |
| Return a list of strings representing this image. |
| The first string is a local image header, the rest contains |
| encoded image data. |
| |
| To specify duration, add the time in milliseconds, |
| e.g. ``getdata(im_frame, duration=1000)`` |
| |
| :param im: Image object |
| :param offset: Tuple of (x, y) pixels. Defaults to (0, 0) |
| :param \\**params: e.g. duration or other encoder info parameters |
| :returns: List of bytes containing GIF encoded frame data |
| |
| """ |
| from io import BytesIO |
|
|
| class Collector(BytesIO): |
| data = [] |
|
|
| def write(self, data: Buffer) -> int: |
| self.data.append(data) |
| return len(data) |
|
|
| im.load() |
|
|
| fp = Collector() |
|
|
| _write_frame_data(fp, im, offset, params) |
|
|
| return fp.data |
|
|
|
|
| |
| |
|
|
| Image.register_open(GifImageFile.format, GifImageFile, _accept) |
| Image.register_save(GifImageFile.format, _save) |
| Image.register_save_all(GifImageFile.format, _save_all) |
| Image.register_extension(GifImageFile.format, ".gif") |
| Image.register_mime(GifImageFile.format, "image/gif") |
|
|
| |
| |
| |
|
|
| |
|
|