making bgi out of prediction causes less drift

Author: Sigrid Tofte Thiis

…packages/numpy-2.2.6.dist-info/INSTALLER …_Notifications-0.0.4.dist-info/INSTALLER.venv/Lib/site-packages/numpy-2.2.6.dist-info/INSTALLER renamed to .venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/INSTALLER .venv/Lib/site-packages/numpy-2.2.6.dist-info/INSTALLER renamed to .venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/INSTALLER

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Farama Foundation
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

.venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/LICENSE

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+Metadata-Version: 2.1
+Name: Farama-Notifications
+Version: 0.0.4
+Summary: Notifications for all Farama Foundation maintained libraries.
+Home-page: https://github.com/Farama-Foundation/Farama-Notifications
+Author: Jordan Terry
+Author-email: Jkterry@farama.org
+Classifier: Programming Language :: Python :: 3
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Description-Content-Type: text/markdown
+License-File: LICENSE
+
+# Farama-Notifications
+Allows for providing notifications on import to all Farama Packages

.venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/METADATA

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+Farama_Notifications-0.0.4.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+Farama_Notifications-0.0.4.dist-info/LICENSE,sha256=f_YzazOuTBaAhuiZoRt8kdNptnWM7iD5Rp1WPwBPies,1074
+Farama_Notifications-0.0.4.dist-info/METADATA,sha256=uwf9zjHzwOu3Fql87GY9LXscORikFf9RICmbNUpbq-k,558
+Farama_Notifications-0.0.4.dist-info/RECORD,,
+Farama_Notifications-0.0.4.dist-info/WHEEL,sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo,92
+Farama_Notifications-0.0.4.dist-info/top_level.txt,sha256=isdjlUtSAEJbdH41jw_aP9MD1hhORQVTtGlXC0WT74E,21
+farama_notifications/__init__.py,sha256=Co-TZP7j3M7em1IroSz3Yj7l-hfXDyRTyp8qsEvMDXs,368
+farama_notifications/__pycache__/__init__.cpython-310.pyc,,

.venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/RECORD

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+farama_notifications

…vendor/autocommand-2.2.2.dist-info/WHEEL …rama_Notifications-0.0.4.dist-info/WHEEL.venv/Lib/site-packages/setuptools/_vendor/autocommand-2.2.2.dist-info/WHEEL renamed to .venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/WHEEL .venv/Lib/site-packages/setuptools/_vendor/autocommand-2.2.2.dist-info/WHEEL renamed to .venv/Lib/site-packages/Farama_Notifications-0.0.4.dist-info/WHEEL

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+from __future__ import annotations
+
+import os
+from io import BytesIO
+from typing import IO
+
+from . import ExifTags, Image, ImageFile
+
+try:
+    from . import _avif
+
+    SUPPORTED = True
+except ImportError:
+    SUPPORTED = False
+
+# Decoder options as module globals, until there is a way to pass parameters
+# to Image.open (see https://github.com/python-pillow/Pillow/issues/569)
+DECODE_CODEC_CHOICE = "auto"
+DEFAULT_MAX_THREADS = 0
+
+
+def get_codec_version(codec_name: str) -> str | None:
+    versions = _avif.codec_versions()
+    for version in versions.split(", "):
+        if version.split(" [")[0] == codec_name:
+            return version.split(":")[-1].split(" ")[0]
+    return None
+
+
+def _accept(prefix: bytes) -> bool | str:
+    if prefix[4:8] != b"ftyp":
+        return False
+    major_brand = prefix[8:12]
+    if major_brand in (
+        # coding brands
+        b"avif",
+        b"avis",
+        # We accept files with AVIF container brands; we can't yet know if
+        # the ftyp box has the correct compatible brands, but if it doesn't
+        # then the plugin will raise a SyntaxError which Pillow will catch
+        # before moving on to the next plugin that accepts the file.
+        #
+        # Also, because this file might not actually be an AVIF file, we
+        # don't raise an error if AVIF support isn't properly compiled.
+        b"mif1",
+        b"msf1",
+    ):
+        if not SUPPORTED:
+            return (
+                "image file could not be identified because AVIF support not installed"
+            )
+        return True
+    return False
+
+
+def _get_default_max_threads() -> int:
+    if DEFAULT_MAX_THREADS:
+        return DEFAULT_MAX_THREADS
+    if hasattr(os, "sched_getaffinity"):
+        return len(os.sched_getaffinity(0))
+    else:
+        return os.cpu_count() or 1
+
+
+class AvifImageFile(ImageFile.ImageFile):
+    format = "AVIF"
+    format_description = "AVIF image"
+    __frame = -1
+
+    def _open(self) -> None:
+        if not SUPPORTED:
+            msg = "image file could not be opened because AVIF support not installed"
+            raise SyntaxError(msg)
+
+        if DECODE_CODEC_CHOICE != "auto" and not _avif.decoder_codec_available(
+            DECODE_CODEC_CHOICE
+        ):
+            msg = "Invalid opening codec"
+            raise ValueError(msg)
+
+        assert self.fp is not None
+        self._decoder = _avif.AvifDecoder(
+            self.fp.read(),
+            DECODE_CODEC_CHOICE,
+            _get_default_max_threads(),
+        )
+
+        # Get info from decoder
+        self._size, self.n_frames, self._mode, icc, exif, exif_orientation, xmp = (
+            self._decoder.get_info()
+        )
+        self.is_animated = self.n_frames > 1
+
+        if icc:
+            self.info["icc_profile"] = icc
+        if xmp:
+            self.info["xmp"] = xmp
+
+        if exif_orientation != 1 or exif:
+            exif_data = Image.Exif()
+            if exif:
+                exif_data.load(exif)
+                original_orientation = exif_data.get(ExifTags.Base.Orientation, 1)
+            else:
+                original_orientation = 1
+            if exif_orientation != original_orientation:
+                exif_data[ExifTags.Base.Orientation] = exif_orientation
+                exif = exif_data.tobytes()
+        if exif:
+            self.info["exif"] = exif
+        self.seek(0)
+
+    def seek(self, frame: int) -> None:
+        if not self._seek_check(frame):
+            return
+
+        # Set tile
+        self.__frame = frame
+        self.tile = [ImageFile._Tile("raw", (0, 0) + self.size, 0, self.mode)]
+
+    def load(self) -> Image.core.PixelAccess | None:
+        if self.tile:
+            # We need to load the image data for this frame
+            data, timescale, pts_in_timescales, duration_in_timescales = (
+                self._decoder.get_frame(self.__frame)
+            )
+            self.info["timestamp"] = round(1000 * (pts_in_timescales / timescale))
+            self.info["duration"] = round(1000 * (duration_in_timescales / timescale))
+
+            if self.fp and self._exclusive_fp:
+                self.fp.close()
+            self.fp = BytesIO(data)
+
+        return super().load()
+
+    def load_seek(self, pos: int) -> None:
+        pass
+
+    def tell(self) -> int:
+        return self.__frame
+
+
+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:
+    info = im.encoderinfo.copy()
+    if save_all:
+        append_images = list(info.get("append_images", []))
+    else:
+        append_images = []
+
+    total = 0
+    for ims in [im] + append_images:
+        total += getattr(ims, "n_frames", 1)
+
+    quality = info.get("quality", 75)
+    if not isinstance(quality, int) or quality < 0 or quality > 100:
+        msg = "Invalid quality setting"
+        raise ValueError(msg)
+
+    duration = info.get("duration", 0)
+    subsampling = info.get("subsampling", "4:2:0")
+    speed = info.get("speed", 6)
+    max_threads = info.get("max_threads", _get_default_max_threads())
+    codec = info.get("codec", "auto")
+    if codec != "auto" and not _avif.encoder_codec_available(codec):
+        msg = "Invalid saving codec"
+        raise ValueError(msg)
+    range_ = info.get("range", "full")
+    tile_rows_log2 = info.get("tile_rows", 0)
+    tile_cols_log2 = info.get("tile_cols", 0)
+    alpha_premultiplied = bool(info.get("alpha_premultiplied", False))
+    autotiling = bool(info.get("autotiling", tile_rows_log2 == tile_cols_log2 == 0))
+
+    icc_profile = info.get("icc_profile", im.info.get("icc_profile"))
+    exif_orientation = 1
+    if exif := info.get("exif"):
+        if isinstance(exif, Image.Exif):
+            exif_data = exif
+        else:
+            exif_data = Image.Exif()
+            exif_data.load(exif)
+        if ExifTags.Base.Orientation in exif_data:
+            exif_orientation = exif_data.pop(ExifTags.Base.Orientation)
+            exif = exif_data.tobytes() if exif_data else b""
+        elif isinstance(exif, Image.Exif):
+            exif = exif_data.tobytes()
+
+    xmp = info.get("xmp")
+
+    if isinstance(xmp, str):
+        xmp = xmp.encode("utf-8")
+
+    advanced = info.get("advanced")
+    if advanced is not None:
+        if isinstance(advanced, dict):
+            advanced = advanced.items()
+        try:
+            advanced = tuple(advanced)
+        except TypeError:
+            invalid = True
+        else:
+            invalid = any(not isinstance(v, tuple) or len(v) != 2 for v in advanced)
+        if invalid:
+            msg = (
+                "advanced codec options must be a dict of key-value string "
+                "pairs or a series of key-value two-tuples"
+            )
+            raise ValueError(msg)
+
+    # Setup the AVIF encoder
+    enc = _avif.AvifEncoder(
+        im.size,
+        subsampling,
+        quality,
+        speed,
+        max_threads,
+        codec,
+        range_,
+        tile_rows_log2,
+        tile_cols_log2,
+        alpha_premultiplied,
+        autotiling,
+        icc_profile or b"",
+        exif or b"",
+        exif_orientation,
+        xmp or b"",
+        advanced,
+    )
+
+    # Add each frame
+    frame_idx = 0
+    frame_duration = 0
+    cur_idx = im.tell()
+    is_single_frame = total == 1
+    try:
+        for ims in [im] + append_images:
+            # Get number of frames in this image
+            nfr = getattr(ims, "n_frames", 1)
+
+            for idx in range(nfr):
+                ims.seek(idx)
+
+                # Make sure image mode is supported
+                frame = ims
+                rawmode = ims.mode
+                if ims.mode not in {"RGB", "RGBA"}:
+                    rawmode = "RGBA" if ims.has_transparency_data else "RGB"
+                    frame = ims.convert(rawmode)
+
+                # Update frame duration
+                if isinstance(duration, (list, tuple)):
+                    frame_duration = duration[frame_idx]
+                else:
+                    frame_duration = duration
+
+                # Append the frame to the animation encoder
+                enc.add(
+                    frame.tobytes("raw", rawmode),
+                    frame_duration,
+                    frame.size,
+                    rawmode,
+                    is_single_frame,
+                )
+
+                # Update frame index
+                frame_idx += 1
+
+                if not save_all:
+                    break
+
+    finally:
+        im.seek(cur_idx)
+
+    # Get the final output from the encoder
+    data = enc.finish()
+    if data is None:
+        msg = "cannot write file as AVIF (encoder returned None)"
+        raise OSError(msg)
+
+    fp.write(data)
+
+
+Image.register_open(AvifImageFile.format, AvifImageFile, _accept)
+if SUPPORTED:
+    Image.register_save(AvifImageFile.format, _save)
+    Image.register_save_all(AvifImageFile.format, _save_all)
+    Image.register_extensions(AvifImageFile.format, [".avif", ".avifs"])
+    Image.register_mime(AvifImageFile.format, "image/avif")