2026-09-16 19:24:59 +02:00
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#
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# Generated file, do not edit.
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#
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list(APPEND FLUTTER_PLUGIN_LIST
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Import Anki decks with their files and history
Files in content: the person's images and sounds as asset rows synced like
all content, their files kept by hash on each device, uploaded after each
sync, downloaded on demand and checked against their hash
(core/asset/AssetRepository). Rich text names them as asset:<id> URLs, in
the editor's image block and an audio block of ours; any other URL is never
fetched. Sounds play through audioplayers, one at a time. Content holding
only an image or a sound isn't blank, and lists show it as such.
The Anki import ("Import from Anki" under Add material): .apkg and .colpkg
packages in all three formats Anki has written, read on an isolate of their
own. Modern packages compress everything with zstd in frames that don't
record their size, which pure_zstd v1.0.0 refuses; our fork decodes them.
Fields become rich text by a converter of our own (lines, lists, formatting,
images, sounds, cloze deletions hidden on the front). One card per note,
the files first, studysets as chosen (flatten, sub-studysets, or tags by
subdeck), the notes' tags, and, if wanted, the review history, which FSRS
replays: the first template's reviews to the card's schedule, a reversed
note type's second to the reverse one.
Imported cards say where they came from in their first revision (card
schema 3); the dashboard doesn't count them as written. The test fixtures
are exported by Anki itself (tool/anki/make_fixtures.py).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-02 04:52:02 +02:00
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audioplayers_windows
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2026-09-16 19:24:59 +02:00
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connectivity_plus
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desktop_webview_window
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Import Anki decks with their files and history
Files in content: the person's images and sounds as asset rows synced like
all content, their files kept by hash on each device, uploaded after each
sync, downloaded on demand and checked against their hash
(core/asset/AssetRepository). Rich text names them as asset:<id> URLs, in
the editor's image block and an audio block of ours; any other URL is never
fetched. Sounds play through audioplayers, one at a time. Content holding
only an image or a sound isn't blank, and lists show it as such.
The Anki import ("Import from Anki" under Add material): .apkg and .colpkg
packages in all three formats Anki has written, read on an isolate of their
own. Modern packages compress everything with zstd in frames that don't
record their size, which pure_zstd v1.0.0 refuses; our fork decodes them.
Fields become rich text by a converter of our own (lines, lists, formatting,
images, sounds, cloze deletions hidden on the front). One card per note,
the files first, studysets as chosen (flatten, sub-studysets, or tags by
subdeck), the notes' tags, and, if wanted, the review history, which FSRS
replays: the first template's reviews to the card's schedule, a reversed
note type's second to the reverse one.
Imported cards say where they came from in their first revision (card
schema 3); the dashboard doesn't count them as written. The test fixtures
are exported by Anki itself (tool/anki/make_fixtures.py).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-02 04:52:02 +02:00
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file_selector_windows
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2026-09-16 19:24:59 +02:00
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flutter_secure_storage_windows
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feat(jellyfin): watch from one's own Jellyfin server and learn the words of its subtitles
Animelon's way of learning from video, from the person's own Jellyfin
server: connected per device (Settings, or a studyset's Add material ›
Watch from Jellyfin) with a name and password or a Quick Connect code,
over HTTPS only (plain HTTP only to a server on the same machine); the
token stays in the system's keyring. Shows, films and videos tied to a
studyset follow the person in their settings as the server's and the
item's ids alone (settings schema 9), named by the server when shown.
The Watch screen plays the video (video_player on Android, media_kit's
libmpv on Linux and Windows) with the line in the studyset's front
language cut into the dictionary's words with furigana, and the back
language's line beneath; a word tapped pauses the video and becomes a
card with the line and its translation as its first hint, tagged with
the show. The video's words are listed, most frequent first. The sound is
the track in the studyset's language, whichever the file marks default,
and the menu switches it; the subtitles read are a whole track, never a
forced one (which only covers what the sound doesn't say), and captions
for the hard of hearing only without plain ones. The line and its
translation take the video's width in a box of a fixed height, so the
video keeps its size; in the dark theme the video's colours glow around
it, as YouTube's ambient mode, and the words' panel takes the colour of
the episode's picture under the pointer.
A line is cut into words with one request: DictionaryEndpoint.withKeys
looks up every stretch of it that may be a word, as it stands and as
every word it may be a conjugation of, in the new dictionary_key table
(one row per key, indexed; migration dictionary-keys adds the table and
its index, nothing else), which the loader fills beside the entries.
The instance gets the text of each line looked up and keeps none of it,
as the Watch screen says.
Linux builds need libmpv-dev, and the app links libmpv: the snap stages
Ubuntu's libmpv2, makes the update-alternatives links for BLAS and LAPACK
that ffmpeg's speech recognition needs (staging never runs install
scripts), and removes what the GNOME runtime and core24 already hold, as
older copies of cairo, pango and librsvg hid the runtime's from its GTK.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-13 11:31:37 +02:00
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media_kit_libs_windows_video
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media_kit_video
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feat(learn): the assistant's field laid out as Claude's, with files attached and questions spoken, and no Check (ADR 0021, D67)
The question's text stands above its buttons: + attaching files, who
answers as a chip (Effort now a submenu of it), the conversations kept,
and the microphone while nothing is written, which gives way to the
button sending. What goes along is one row above the text, opening a
sheet with how far the assistant looks and the parts to send. A
conversation's follow-up has the same + and microphone.
Files are read on the device: an image goes as itself to an assistant
that reads images, a PDF as its pages' text, a text file as its text,
each cut at 20,000 characters and labelled by its name after the
question.
Voice is the device's own speech recognition (speech_to_text: Android,
Apple, Windows; none on Linux), in the app's language, the microphone
asked for once tapped. The privacy page says that Android's recogniser
may send the sound to Google or the phone's maker.
The field's Check goes, with its LanguageTool sheet (amending ADR 0024);
the editors' underlining and Why? stay.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-11-02 05:50:36 +01:00
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speech_to_text_windows
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2026-09-16 19:24:59 +02:00
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url_launcher_windows
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window_to_front
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)
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list(APPEND FLUTTER_FFI_PLUGIN_LIST
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jni
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)
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set(PLUGIN_BUNDLED_LIBRARIES)
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foreach(plugin ${FLUTTER_PLUGIN_LIST})
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add_subdirectory(flutter/ephemeral/.plugin_symlinks/${plugin}/windows plugins/${plugin})
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target_link_libraries(${BINARY_NAME} PRIVATE ${plugin}_plugin)
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list(APPEND PLUGIN_BUNDLED_LIBRARIES $<TARGET_FILE:${plugin}_plugin>)
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list(APPEND PLUGIN_BUNDLED_LIBRARIES ${${plugin}_bundled_libraries})
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endforeach(plugin)
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foreach(ffi_plugin ${FLUTTER_FFI_PLUGIN_LIST})
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add_subdirectory(flutter/ephemeral/.plugin_symlinks/${ffi_plugin}/windows plugins/${ffi_plugin})
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list(APPEND PLUGIN_BUNDLED_LIBRARIES ${${ffi_plugin}_bundled_libraries})
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endforeach(ffi_plugin)
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