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@@ -670,3 +670,4 @@ llava_video/lib/python3.10/site-packages/matplotlib/_c_internal_utils.cpython-31
 llava_video/lib/python3.10/site-packages/matplotlib/_path.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
 llava_video/lib/python3.10/site-packages/matplotlib/_image.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
 llava_video/lib/python3.10/site-packages/matplotlib/_tri.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
+llava_video/lib/python3.10/site-packages/matplotlib/backends/_tkagg.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text

llava_video/lib/python3.10/site-packages/matplotlib/backends/_backend_gtk.py

@@ -0,0 +1,331 @@
+"""
+Common code for GTK3 and GTK4 backends.
+"""
+
+import logging
+import sys
+
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook
+from matplotlib._pylab_helpers import Gcf
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, NavigationToolbar2,
+    TimerBase)
+from matplotlib.backend_tools import Cursors
+
+import gi
+# The GTK3/GTK4 backends will have already called `gi.require_version` to set
+# the desired GTK.
+from gi.repository import Gdk, Gio, GLib, Gtk
+
+
+try:
+    gi.require_foreign("cairo")
+except ImportError as e:
+    raise ImportError("Gtk-based backends require cairo") from e
+
+_log = logging.getLogger(__name__)
+_application = None  # Placeholder
+
+
+def _shutdown_application(app):
+    # The application might prematurely shut down if Ctrl-C'd out of IPython,
+    # so close all windows.
+    for win in app.get_windows():
+        win.close()
+    # The PyGObject wrapper incorrectly thinks that None is not allowed, or we
+    # would call this:
+    # Gio.Application.set_default(None)
+    # Instead, we set this property and ignore default applications with it:
+    app._created_by_matplotlib = True
+    global _application
+    _application = None
+
+
+def _create_application():
+    global _application
+
+    if _application is None:
+        app = Gio.Application.get_default()
+        if app is None or getattr(app, '_created_by_matplotlib', False):
+            # display_is_valid returns False only if on Linux and neither X11
+            # nor Wayland display can be opened.
+            if not mpl._c_internal_utils.display_is_valid():
+                raise RuntimeError('Invalid DISPLAY variable')
+            _application = Gtk.Application.new('org.matplotlib.Matplotlib3',
+                                               Gio.ApplicationFlags.NON_UNIQUE)
+            # The activate signal must be connected, but we don't care for
+            # handling it, since we don't do any remote processing.
+            _application.connect('activate', lambda *args, **kwargs: None)
+            _application.connect('shutdown', _shutdown_application)
+            _application.register()
+            cbook._setup_new_guiapp()
+        else:
+            _application = app
+
+    return _application
+
+
+def mpl_to_gtk_cursor_name(mpl_cursor):
+    return _api.check_getitem({
+        Cursors.MOVE: "move",
+        Cursors.HAND: "pointer",
+        Cursors.POINTER: "default",
+        Cursors.SELECT_REGION: "crosshair",
+        Cursors.WAIT: "wait",
+        Cursors.RESIZE_HORIZONTAL: "ew-resize",
+        Cursors.RESIZE_VERTICAL: "ns-resize",
+    }, cursor=mpl_cursor)
+
+
+class TimerGTK(TimerBase):
+    """Subclass of `.TimerBase` using GTK timer events."""
+
+    def __init__(self, *args, **kwargs):
+        self._timer = None
+        super().__init__(*args, **kwargs)
+
+    def _timer_start(self):
+        # Need to stop it, otherwise we potentially leak a timer id that will
+        # never be stopped.
+        self._timer_stop()
+        self._timer = GLib.timeout_add(self._interval, self._on_timer)
+
+    def _timer_stop(self):
+        if self._timer is not None:
+            GLib.source_remove(self._timer)
+            self._timer = None
+
+    def _timer_set_interval(self):
+        # Only stop and restart it if the timer has already been started.
+        if self._timer is not None:
+            self._timer_stop()
+            self._timer_start()
+
+    def _on_timer(self):
+        super()._on_timer()
+
+        # Gtk timeout_add() requires that the callback returns True if it
+        # is to be called again.
+        if self.callbacks and not self._single:
+            return True
+        else:
+            self._timer = None
+            return False
+
+
+class _FigureCanvasGTK(FigureCanvasBase):
+    _timer_cls = TimerGTK
+
+
+class _FigureManagerGTK(FigureManagerBase):
+    """
+    Attributes
+    ----------
+    canvas : `FigureCanvas`
+        The FigureCanvas instance
+    num : int or str
+        The Figure number
+    toolbar : Gtk.Toolbar or Gtk.Box
+        The toolbar
+    vbox : Gtk.VBox
+        The Gtk.VBox containing the canvas and toolbar
+    window : Gtk.Window
+        The Gtk.Window
+    """
+
+    def __init__(self, canvas, num):
+        self._gtk_ver = gtk_ver = Gtk.get_major_version()
+
+        app = _create_application()
+        self.window = Gtk.Window()
+        app.add_window(self.window)
+        super().__init__(canvas, num)
+
+        if gtk_ver == 3:
+            icon_ext = "png" if sys.platform == "win32" else "svg"
+            self.window.set_icon_from_file(
+                str(cbook._get_data_path(f"images/matplotlib.{icon_ext}")))
+
+        self.vbox = Gtk.Box()
+        self.vbox.set_property("orientation", Gtk.Orientation.VERTICAL)
+
+        if gtk_ver == 3:
+            self.window.add(self.vbox)
+            self.vbox.show()
+            self.canvas.show()
+            self.vbox.pack_start(self.canvas, True, True, 0)
+        elif gtk_ver == 4:
+            self.window.set_child(self.vbox)
+            self.vbox.prepend(self.canvas)
+
+        # calculate size for window
+        w, h = self.canvas.get_width_height()
+
+        if self.toolbar is not None:
+            if gtk_ver == 3:
+                self.toolbar.show()
+                self.vbox.pack_end(self.toolbar, False, False, 0)
+            elif gtk_ver == 4:
+                sw = Gtk.ScrolledWindow(vscrollbar_policy=Gtk.PolicyType.NEVER)
+                sw.set_child(self.toolbar)
+                self.vbox.append(sw)
+            min_size, nat_size = self.toolbar.get_preferred_size()
+            h += nat_size.height
+
+        self.window.set_default_size(w, h)
+
+        self._destroying = False
+        self.window.connect("destroy", lambda *args: Gcf.destroy(self))
+        self.window.connect({3: "delete_event", 4: "close-request"}[gtk_ver],
+                            lambda *args: Gcf.destroy(self))
+        if mpl.is_interactive():
+            self.window.show()
+            self.canvas.draw_idle()
+
+        self.canvas.grab_focus()
+
+    def destroy(self, *args):
+        if self._destroying:
+            # Otherwise, this can be called twice when the user presses 'q',
+            # which calls Gcf.destroy(self), then this destroy(), then triggers
+            # Gcf.destroy(self) once again via
+            # `connect("destroy", lambda *args: Gcf.destroy(self))`.
+            return
+        self._destroying = True
+        self.window.destroy()
+        self.canvas.destroy()
+
+    @classmethod
+    def start_main_loop(cls):
+        global _application
+        if _application is None:
+            return
+
+        try:
+            _application.run()  # Quits when all added windows close.
+        except KeyboardInterrupt:
+            # Ensure all windows can process their close event from
+            # _shutdown_application.
+            context = GLib.MainContext.default()
+            while context.pending():
+                context.iteration(True)
+            raise
+        finally:
+            # Running after quit is undefined, so create a new one next time.
+            _application = None
+
+    def show(self):
+        # show the figure window
+        self.window.show()
+        self.canvas.draw()
+        if mpl.rcParams["figure.raise_window"]:
+            meth_name = {3: "get_window", 4: "get_surface"}[self._gtk_ver]
+            if getattr(self.window, meth_name)():
+                self.window.present()
+            else:
+                # If this is called by a callback early during init,
+                # self.window (a GtkWindow) may not have an associated
+                # low-level GdkWindow (on GTK3) or GdkSurface (on GTK4) yet,
+                # and present() would crash.
+                _api.warn_external("Cannot raise window yet to be setup")
+
+    def full_screen_toggle(self):
+        is_fullscreen = {
+            3: lambda w: (w.get_window().get_state()
+                          & Gdk.WindowState.FULLSCREEN),
+            4: lambda w: w.is_fullscreen(),
+        }[self._gtk_ver]
+        if is_fullscreen(self.window):
+            self.window.unfullscreen()
+        else:
+            self.window.fullscreen()
+
+    def get_window_title(self):
+        return self.window.get_title()
+
+    def set_window_title(self, title):
+        self.window.set_title(title)
+
+    def resize(self, width, height):
+        width = int(width / self.canvas.device_pixel_ratio)
+        height = int(height / self.canvas.device_pixel_ratio)
+        if self.toolbar:
+            min_size, nat_size = self.toolbar.get_preferred_size()
+            height += nat_size.height
+        canvas_size = self.canvas.get_allocation()
+        if self._gtk_ver >= 4 or canvas_size.width == canvas_size.height == 1:
+            # A canvas size of (1, 1) cannot exist in most cases, because
+            # window decorations would prevent such a small window. This call
+            # must be before the window has been mapped and widgets have been
+            # sized, so just change the window's starting size.
+            self.window.set_default_size(width, height)
+        else:
+            self.window.resize(width, height)
+
+
+class _NavigationToolbar2GTK(NavigationToolbar2):
+    # Must be implemented in GTK3/GTK4 backends:
+    # * __init__
+    # * save_figure
+
+    def set_message(self, s):
+        escaped = GLib.markup_escape_text(s)
+        self.message.set_markup(f'<small>{escaped}</small>')
+
+    def draw_rubberband(self, event, x0, y0, x1, y1):
+        height = self.canvas.figure.bbox.height
+        y1 = height - y1
+        y0 = height - y0
+        rect = [int(val) for val in (x0, y0, x1 - x0, y1 - y0)]
+        self.canvas._draw_rubberband(rect)
+
+    def remove_rubberband(self):
+        self.canvas._draw_rubberband(None)
+
+    def _update_buttons_checked(self):
+        for name, active in [("Pan", "PAN"), ("Zoom", "ZOOM")]:
+            button = self._gtk_ids.get(name)
+            if button:
+                with button.handler_block(button._signal_handler):
+                    button.set_active(self.mode.name == active)
+
+    def pan(self, *args):
+        super().pan(*args)
+        self._update_buttons_checked()
+
+    def zoom(self, *args):
+        super().zoom(*args)
+        self._update_buttons_checked()
+
+    def set_history_buttons(self):
+        can_backward = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        if 'Back' in self._gtk_ids:
+            self._gtk_ids['Back'].set_sensitive(can_backward)
+        if 'Forward' in self._gtk_ids:
+            self._gtk_ids['Forward'].set_sensitive(can_forward)
+
+
+class RubberbandGTK(backend_tools.RubberbandBase):
+    def draw_rubberband(self, x0, y0, x1, y1):
+        _NavigationToolbar2GTK.draw_rubberband(
+            self._make_classic_style_pseudo_toolbar(), None, x0, y0, x1, y1)
+
+    def remove_rubberband(self):
+        _NavigationToolbar2GTK.remove_rubberband(
+            self._make_classic_style_pseudo_toolbar())
+
+
+class ConfigureSubplotsGTK(backend_tools.ConfigureSubplotsBase):
+    def trigger(self, *args):
+        _NavigationToolbar2GTK.configure_subplots(self, None)
+
+
+class _BackendGTK(_Backend):
+    backend_version = "{}.{}.{}".format(
+        Gtk.get_major_version(),
+        Gtk.get_minor_version(),
+        Gtk.get_micro_version(),
+    )
+    mainloop = _FigureManagerGTK.start_main_loop

llava_video/lib/python3.10/site-packages/matplotlib/backends/_backend_tk.py

@@ -0,0 +1,1077 @@
+import uuid
+import weakref
+from contextlib import contextmanager
+import logging
+import math
+import os.path
+import pathlib
+import sys
+import tkinter as tk
+import tkinter.filedialog
+import tkinter.font
+import tkinter.messagebox
+from tkinter.simpledialog import SimpleDialog
+
+import numpy as np
+from PIL import Image, ImageTk
+
+import matplotlib as mpl
+from matplotlib import _api, backend_tools, cbook, _c_internal_utils
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, NavigationToolbar2,
+    TimerBase, ToolContainerBase, cursors, _Mode, MouseButton,
+    CloseEvent, KeyEvent, LocationEvent, MouseEvent, ResizeEvent)
+from matplotlib._pylab_helpers import Gcf
+from . import _tkagg
+from ._tkagg import TK_PHOTO_COMPOSITE_OVERLAY, TK_PHOTO_COMPOSITE_SET
+
+
+_log = logging.getLogger(__name__)
+cursord = {
+    cursors.MOVE: "fleur",
+    cursors.HAND: "hand2",
+    cursors.POINTER: "arrow",
+    cursors.SELECT_REGION: "crosshair",
+    cursors.WAIT: "watch",
+    cursors.RESIZE_HORIZONTAL: "sb_h_double_arrow",
+    cursors.RESIZE_VERTICAL: "sb_v_double_arrow",
+}
+
+
+@contextmanager
+def _restore_foreground_window_at_end():
+    foreground = _c_internal_utils.Win32_GetForegroundWindow()
+    try:
+        yield
+    finally:
+        if foreground and mpl.rcParams['tk.window_focus']:
+            _c_internal_utils.Win32_SetForegroundWindow(foreground)
+
+
+_blit_args = {}
+# Initialize to a non-empty string that is not a Tcl command
+_blit_tcl_name = "mpl_blit_" + uuid.uuid4().hex
+
+
+def _blit(argsid):
+    """
+    Thin wrapper to blit called via tkapp.call.
+
+    *argsid* is a unique string identifier to fetch the correct arguments from
+    the ``_blit_args`` dict, since arguments cannot be passed directly.
+    """
+    photoimage, data, offsets, bbox, comp_rule = _blit_args.pop(argsid)
+    if not photoimage.tk.call("info", "commands", photoimage):
+        return
+    _tkagg.blit(photoimage.tk.interpaddr(), str(photoimage), data, comp_rule, offsets,
+                bbox)
+
+
+def blit(photoimage, aggimage, offsets, bbox=None):
+    """
+    Blit *aggimage* to *photoimage*.
+
+    *offsets* is a tuple describing how to fill the ``offset`` field of the
+    ``Tk_PhotoImageBlock`` struct: it should be (0, 1, 2, 3) for RGBA8888 data,
+    (2, 1, 0, 3) for little-endian ARBG32 (i.e. GBRA8888) data and (1, 2, 3, 0)
+    for big-endian ARGB32 (i.e. ARGB8888) data.
+
+    If *bbox* is passed, it defines the region that gets blitted. That region
+    will be composed with the previous data according to the alpha channel.
+    Blitting will be clipped to pixels inside the canvas, including silently
+    doing nothing if the *bbox* region is entirely outside the canvas.
+
+    Tcl events must be dispatched to trigger a blit from a non-Tcl thread.
+    """
+    data = np.asarray(aggimage)
+    height, width = data.shape[:2]
+    if bbox is not None:
+        (x1, y1), (x2, y2) = bbox.__array__()
+        x1 = max(math.floor(x1), 0)
+        x2 = min(math.ceil(x2), width)
+        y1 = max(math.floor(y1), 0)
+        y2 = min(math.ceil(y2), height)
+        if (x1 > x2) or (y1 > y2):
+            return
+        bboxptr = (x1, x2, y1, y2)
+        comp_rule = TK_PHOTO_COMPOSITE_OVERLAY
+    else:
+        bboxptr = (0, width, 0, height)
+        comp_rule = TK_PHOTO_COMPOSITE_SET
+
+    # NOTE: _tkagg.blit is thread unsafe and will crash the process if called
+    # from a thread (GH#13293). Instead of blanking and blitting here,
+    # use tkapp.call to post a cross-thread event if this function is called
+    # from a non-Tcl thread.
+
+    # tkapp.call coerces all arguments to strings, so to avoid string parsing
+    # within _blit, pack up the arguments into a global data structure.
+    args = photoimage, data, offsets, bboxptr, comp_rule
+    # Need a unique key to avoid thread races.
+    # Again, make the key a string to avoid string parsing in _blit.
+    argsid = str(id(args))
+    _blit_args[argsid] = args
+
+    try:
+        photoimage.tk.call(_blit_tcl_name, argsid)
+    except tk.TclError as e:
+        if "invalid command name" not in str(e):
+            raise
+        photoimage.tk.createcommand(_blit_tcl_name, _blit)
+        photoimage.tk.call(_blit_tcl_name, argsid)
+
+
+class TimerTk(TimerBase):
+    """Subclass of `backend_bases.TimerBase` using Tk timer events."""
+
+    def __init__(self, parent, *args, **kwargs):
+        self._timer = None
+        super().__init__(*args, **kwargs)
+        self.parent = parent
+
+    def _timer_start(self):
+        self._timer_stop()
+        self._timer = self.parent.after(self._interval, self._on_timer)
+
+    def _timer_stop(self):
+        if self._timer is not None:
+            self.parent.after_cancel(self._timer)
+        self._timer = None
+
+    def _on_timer(self):
+        super()._on_timer()
+        # Tk after() is only a single shot, so we need to add code here to
+        # reset the timer if we're not operating in single shot mode.  However,
+        # if _timer is None, this means that _timer_stop has been called; so
+        # don't recreate the timer in that case.
+        if not self._single and self._timer:
+            if self._interval > 0:
+                self._timer = self.parent.after(self._interval, self._on_timer)
+            else:
+                # Edge case: Tcl after 0 *prepends* events to the queue
+                # so a 0 interval does not allow any other events to run.
+                # This incantation is cancellable and runs as fast as possible
+                # while also allowing events and drawing every frame. GH#18236
+                self._timer = self.parent.after_idle(
+                    lambda: self.parent.after(self._interval, self._on_timer)
+                )
+        else:
+            self._timer = None
+
+
+class FigureCanvasTk(FigureCanvasBase):
+    required_interactive_framework = "tk"
+    manager_class = _api.classproperty(lambda cls: FigureManagerTk)
+
+    def __init__(self, figure=None, master=None):
+        super().__init__(figure)
+        self._idle_draw_id = None
+        self._event_loop_id = None
+        w, h = self.get_width_height(physical=True)
+        self._tkcanvas = tk.Canvas(
+            master=master, background="white",
+            width=w, height=h, borderwidth=0, highlightthickness=0)
+        self._tkphoto = tk.PhotoImage(
+            master=self._tkcanvas, width=w, height=h)
+        self._tkcanvas_image_region = self._tkcanvas.create_image(
+            w//2, h//2, image=self._tkphoto)
+        self._tkcanvas.bind("<Configure>", self.resize)
+        self._tkcanvas.bind("<Map>", self._update_device_pixel_ratio)
+        self._tkcanvas.bind("<Key>", self.key_press)
+        self._tkcanvas.bind("<Motion>", self.motion_notify_event)
+        self._tkcanvas.bind("<Enter>", self.enter_notify_event)
+        self._tkcanvas.bind("<Leave>", self.leave_notify_event)
+        self._tkcanvas.bind("<KeyRelease>", self.key_release)
+        for name in ["<Button-1>", "<Button-2>", "<Button-3>"]:
+            self._tkcanvas.bind(name, self.button_press_event)
+        for name in [
+                "<Double-Button-1>", "<Double-Button-2>", "<Double-Button-3>"]:
+            self._tkcanvas.bind(name, self.button_dblclick_event)
+        for name in [
+                "<ButtonRelease-1>", "<ButtonRelease-2>", "<ButtonRelease-3>"]:
+            self._tkcanvas.bind(name, self.button_release_event)
+
+        # Mouse wheel on Linux generates button 4/5 events
+        for name in "<Button-4>", "<Button-5>":
+            self._tkcanvas.bind(name, self.scroll_event)
+        # Mouse wheel for windows goes to the window with the focus.
+        # Since the canvas won't usually have the focus, bind the
+        # event to the window containing the canvas instead.
+        # See https://wiki.tcl-lang.org/3893 (mousewheel) for details
+        root = self._tkcanvas.winfo_toplevel()
+
+        # Prevent long-lived references via tkinter callback structure GH-24820
+        weakself = weakref.ref(self)
+        weakroot = weakref.ref(root)
+
+        def scroll_event_windows(event):
+            self = weakself()
+            if self is None:
+                root = weakroot()
+                if root is not None:
+                    root.unbind("<MouseWheel>", scroll_event_windows_id)
+                return
+            return self.scroll_event_windows(event)
+        scroll_event_windows_id = root.bind("<MouseWheel>", scroll_event_windows, "+")
+
+        # Can't get destroy events by binding to _tkcanvas. Therefore, bind
+        # to the window and filter.
+        def filter_destroy(event):
+            self = weakself()
+            if self is None:
+                root = weakroot()
+                if root is not None:
+                    root.unbind("<Destroy>", filter_destroy_id)
+                return
+            if event.widget is self._tkcanvas:
+                CloseEvent("close_event", self)._process()
+        filter_destroy_id = root.bind("<Destroy>", filter_destroy, "+")
+
+        self._tkcanvas.focus_set()
+
+        self._rubberband_rect_black = None
+        self._rubberband_rect_white = None
+
+    def _update_device_pixel_ratio(self, event=None):
+        ratio = None
+        if sys.platform == 'win32':
+            # Tk gives scaling with respect to 72 DPI, but Windows screens are
+            # scaled vs 96 dpi, and pixel ratio settings are given in whole
+            # percentages, so round to 2 digits.
+            ratio = round(self._tkcanvas.tk.call('tk', 'scaling') / (96 / 72), 2)
+        elif sys.platform == "linux":
+            ratio = self._tkcanvas.winfo_fpixels('1i') / 96
+        if ratio is not None and self._set_device_pixel_ratio(ratio):
+            # The easiest way to resize the canvas is to resize the canvas
+            # widget itself, since we implement all the logic for resizing the
+            # canvas backing store on that event.
+            w, h = self.get_width_height(physical=True)
+            self._tkcanvas.configure(width=w, height=h)
+
+    def resize(self, event):
+        width, height = event.width, event.height
+
+        # compute desired figure size in inches
+        dpival = self.figure.dpi
+        winch = width / dpival
+        hinch = height / dpival
+        self.figure.set_size_inches(winch, hinch, forward=False)
+
+        self._tkcanvas.delete(self._tkcanvas_image_region)
+        self._tkphoto.configure(width=int(width), height=int(height))
+        self._tkcanvas_image_region = self._tkcanvas.create_image(
+            int(width / 2), int(height / 2), image=self._tkphoto)
+        ResizeEvent("resize_event", self)._process()
+        self.draw_idle()
+
+    def draw_idle(self):
+        # docstring inherited
+        if self._idle_draw_id:
+            return
+
+        def idle_draw(*args):
+            try:
+                self.draw()
+            finally:
+                self._idle_draw_id = None
+
+        self._idle_draw_id = self._tkcanvas.after_idle(idle_draw)
+
+    def get_tk_widget(self):
+        """
+        Return the Tk widget used to implement FigureCanvasTkAgg.
+
+        Although the initial implementation uses a Tk canvas,  this routine
+        is intended to hide that fact.
+        """
+        return self._tkcanvas
+
+    def _event_mpl_coords(self, event):
+        # calling canvasx/canvasy allows taking scrollbars into account (i.e.
+        # the top of the widget may have been scrolled out of view).
+        return (self._tkcanvas.canvasx(event.x),
+                # flipy so y=0 is bottom of canvas
+                self.figure.bbox.height - self._tkcanvas.canvasy(event.y))
+
+    def motion_notify_event(self, event):
+        MouseEvent("motion_notify_event", self,
+                   *self._event_mpl_coords(event),
+                   buttons=self._mpl_buttons(event),
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def enter_notify_event(self, event):
+        LocationEvent("figure_enter_event", self,
+                      *self._event_mpl_coords(event),
+                      modifiers=self._mpl_modifiers(event),
+                      guiEvent=event)._process()
+
+    def leave_notify_event(self, event):
+        LocationEvent("figure_leave_event", self,
+                      *self._event_mpl_coords(event),
+                      modifiers=self._mpl_modifiers(event),
+                      guiEvent=event)._process()
+
+    def button_press_event(self, event, dblclick=False):
+        # set focus to the canvas so that it can receive keyboard events
+        self._tkcanvas.focus_set()
+
+        num = getattr(event, 'num', None)
+        if sys.platform == 'darwin':  # 2 and 3 are reversed.
+            num = {2: 3, 3: 2}.get(num, num)
+        MouseEvent("button_press_event", self,
+                   *self._event_mpl_coords(event), num, dblclick=dblclick,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def button_dblclick_event(self, event):
+        self.button_press_event(event, dblclick=True)
+
+    def button_release_event(self, event):
+        num = getattr(event, 'num', None)
+        if sys.platform == 'darwin':  # 2 and 3 are reversed.
+            num = {2: 3, 3: 2}.get(num, num)
+        MouseEvent("button_release_event", self,
+                   *self._event_mpl_coords(event), num,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def scroll_event(self, event):
+        num = getattr(event, 'num', None)
+        step = 1 if num == 4 else -1 if num == 5 else 0
+        MouseEvent("scroll_event", self,
+                   *self._event_mpl_coords(event), step=step,
+                   modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    def scroll_event_windows(self, event):
+        """MouseWheel event processor"""
+        # need to find the window that contains the mouse
+        w = event.widget.winfo_containing(event.x_root, event.y_root)
+        if w != self._tkcanvas:
+            return
+        x = self._tkcanvas.canvasx(event.x_root - w.winfo_rootx())
+        y = (self.figure.bbox.height
+             - self._tkcanvas.canvasy(event.y_root - w.winfo_rooty()))
+        step = event.delta / 120
+        MouseEvent("scroll_event", self,
+                   x, y, step=step, modifiers=self._mpl_modifiers(event),
+                   guiEvent=event)._process()
+
+    @staticmethod
+    def _mpl_buttons(event):  # See _mpl_modifiers.
+        # NOTE: This fails to report multiclicks on macOS; only one button is
+        # reported (multiclicks work correctly on Linux & Windows).
+        modifiers = [
+            # macOS appears to swap right and middle (look for "Swap buttons
+            # 2/3" in tk/macosx/tkMacOSXMouseEvent.c).
+            (MouseButton.LEFT, 1 << 8),
+            (MouseButton.RIGHT, 1 << 9),
+            (MouseButton.MIDDLE, 1 << 10),
+            (MouseButton.BACK, 1 << 11),
+            (MouseButton.FORWARD, 1 << 12),
+        ] if sys.platform == "darwin" else [
+            (MouseButton.LEFT, 1 << 8),
+            (MouseButton.MIDDLE, 1 << 9),
+            (MouseButton.RIGHT, 1 << 10),
+            (MouseButton.BACK, 1 << 11),
+            (MouseButton.FORWARD, 1 << 12),
+        ]
+        # State *before* press/release.
+        return [name for name, mask in modifiers if event.state & mask]
+
+    @staticmethod
+    def _mpl_modifiers(event, *, exclude=None):
+        # Add modifier keys to the key string. Bit values are inferred from
+        # the implementation of tkinter.Event.__repr__ (1, 2, 4, 8, ... =
+        # Shift, Lock, Control, Mod1, ..., Mod5, Button1, ..., Button5)
+        # In general, the modifier key is excluded from the modifier flag,
+        # however this is not the case on "darwin", so double check that
+        # we aren't adding repeat modifier flags to a modifier key.
+        modifiers = [
+            ("ctrl", 1 << 2, "control"),
+            ("alt", 1 << 17, "alt"),
+            ("shift", 1 << 0, "shift"),
+        ] if sys.platform == "win32" else [
+            ("ctrl", 1 << 2, "control"),
+            ("alt", 1 << 4, "alt"),
+            ("shift", 1 << 0, "shift"),
+            ("cmd", 1 << 3, "cmd"),
+        ] if sys.platform == "darwin" else [
+            ("ctrl", 1 << 2, "control"),
+            ("alt", 1 << 3, "alt"),
+            ("shift", 1 << 0, "shift"),
+            ("super", 1 << 6, "super"),
+        ]
+        return [name for name, mask, key in modifiers
+                if event.state & mask and exclude != key]
+
+    def _get_key(self, event):
+        unikey = event.char
+        key = cbook._unikey_or_keysym_to_mplkey(unikey, event.keysym)
+        if key is not None:
+            mods = self._mpl_modifiers(event, exclude=key)
+            # shift is not added to the keys as this is already accounted for.
+            if "shift" in mods and unikey:
+                mods.remove("shift")
+            return "+".join([*mods, key])
+
+    def key_press(self, event):
+        KeyEvent("key_press_event", self,
+                 self._get_key(event), *self._event_mpl_coords(event),
+                 guiEvent=event)._process()
+
+    def key_release(self, event):
+        KeyEvent("key_release_event", self,
+                 self._get_key(event), *self._event_mpl_coords(event),
+                 guiEvent=event)._process()
+
+    def new_timer(self, *args, **kwargs):
+        # docstring inherited
+        return TimerTk(self._tkcanvas, *args, **kwargs)
+
+    def flush_events(self):
+        # docstring inherited
+        self._tkcanvas.update()
+
+    def start_event_loop(self, timeout=0):
+        # docstring inherited
+        if timeout > 0:
+            milliseconds = int(1000 * timeout)
+            if milliseconds > 0:
+                self._event_loop_id = self._tkcanvas.after(
+                    milliseconds, self.stop_event_loop)
+            else:
+                self._event_loop_id = self._tkcanvas.after_idle(
+                    self.stop_event_loop)
+        self._tkcanvas.mainloop()
+
+    def stop_event_loop(self):
+        # docstring inherited
+        if self._event_loop_id:
+            self._tkcanvas.after_cancel(self._event_loop_id)
+            self._event_loop_id = None
+        self._tkcanvas.quit()
+
+    def set_cursor(self, cursor):
+        try:
+            self._tkcanvas.configure(cursor=cursord[cursor])
+        except tkinter.TclError:
+            pass
+
+
+class FigureManagerTk(FigureManagerBase):
+    """
+    Attributes
+    ----------
+    canvas : `FigureCanvas`
+        The FigureCanvas instance
+    num : int or str
+        The Figure number
+    toolbar : tk.Toolbar
+        The tk.Toolbar
+    window : tk.Window
+        The tk.Window
+    """
+
+    _owns_mainloop = False
+
+    def __init__(self, canvas, num, window):
+        self.window = window
+        super().__init__(canvas, num)
+        self.window.withdraw()
+        # packing toolbar first, because if space is getting low, last packed
+        # widget is getting shrunk first (-> the canvas)
+        self.canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
+
+        # If the window has per-monitor DPI awareness, then setup a Tk variable
+        # to store the DPI, which will be updated by the C code, and the trace
+        # will handle it on the Python side.
+        window_frame = int(window.wm_frame(), 16)
+        self._window_dpi = tk.IntVar(master=window, value=96,
+                                     name=f'window_dpi{window_frame}')
+        self._window_dpi_cbname = ''
+        if _tkagg.enable_dpi_awareness(window_frame, window.tk.interpaddr()):
+            self._window_dpi_cbname = self._window_dpi.trace_add(
+                'write', self._update_window_dpi)
+
+        self._shown = False
+
+    @classmethod
+    def create_with_canvas(cls, canvas_class, figure, num):
+        # docstring inherited
+        with _restore_foreground_window_at_end():
+            if cbook._get_running_interactive_framework() is None:
+                cbook._setup_new_guiapp()
+                _c_internal_utils.Win32_SetProcessDpiAwareness_max()
+            window = tk.Tk(className="matplotlib")
+            window.withdraw()
+
+            # Put a Matplotlib icon on the window rather than the default tk
+            # icon. See https://www.tcl.tk/man/tcl/TkCmd/wm.html#M50
+            #
+            # `ImageTk` can be replaced with `tk` whenever the minimum
+            # supported Tk version is increased to 8.6, as Tk 8.6+ natively
+            # supports PNG images.
+            icon_fname = str(cbook._get_data_path(
+                'images/matplotlib.png'))
+            icon_img = ImageTk.PhotoImage(file=icon_fname, master=window)
+
+            icon_fname_large = str(cbook._get_data_path(
+                'images/matplotlib_large.png'))
+            icon_img_large = ImageTk.PhotoImage(
+                file=icon_fname_large, master=window)
+
+            window.iconphoto(False, icon_img_large, icon_img)
+
+            canvas = canvas_class(figure, master=window)
+            manager = cls(canvas, num, window)
+            if mpl.is_interactive():
+                manager.show()
+                canvas.draw_idle()
+            return manager
+
+    @classmethod
+    def start_main_loop(cls):
+        managers = Gcf.get_all_fig_managers()
+        if managers:
+            first_manager = managers[0]
+            manager_class = type(first_manager)
+            if manager_class._owns_mainloop:
+                return
+            manager_class._owns_mainloop = True
+            try:
+                first_manager.window.mainloop()
+            finally:
+                manager_class._owns_mainloop = False
+
+    def _update_window_dpi(self, *args):
+        newdpi = self._window_dpi.get()
+        self.window.call('tk', 'scaling', newdpi / 72)
+        if self.toolbar and hasattr(self.toolbar, '_rescale'):
+            self.toolbar._rescale()
+        self.canvas._update_device_pixel_ratio()
+
+    def resize(self, width, height):
+        max_size = 1_400_000  # the measured max on xorg 1.20.8 was 1_409_023
+
+        if (width > max_size or height > max_size) and sys.platform == 'linux':
+            raise ValueError(
+                'You have requested to resize the '
+                f'Tk window to ({width}, {height}), one of which '
+                f'is bigger than {max_size}.  At larger sizes xorg will '
+                'either exit with an error on newer versions (~1.20) or '
+                'cause corruption on older version (~1.19).  We '
+                'do not expect a window over a million pixel wide or tall '
+                'to be intended behavior.')
+        self.canvas._tkcanvas.configure(width=width, height=height)
+
+    def show(self):
+        with _restore_foreground_window_at_end():
+            if not self._shown:
+                def destroy(*args):
+                    Gcf.destroy(self)
+                self.window.protocol("WM_DELETE_WINDOW", destroy)
+                self.window.deiconify()
+                self.canvas._tkcanvas.focus_set()
+            else:
+                self.canvas.draw_idle()
+            if mpl.rcParams['figure.raise_window']:
+                self.canvas.manager.window.attributes('-topmost', 1)
+                self.canvas.manager.window.attributes('-topmost', 0)
+            self._shown = True
+
+    def destroy(self, *args):
+        if self.canvas._idle_draw_id:
+            self.canvas._tkcanvas.after_cancel(self.canvas._idle_draw_id)
+        if self.canvas._event_loop_id:
+            self.canvas._tkcanvas.after_cancel(self.canvas._event_loop_id)
+        if self._window_dpi_cbname:
+            self._window_dpi.trace_remove('write', self._window_dpi_cbname)
+
+        # NOTE: events need to be flushed before issuing destroy (GH #9956),
+        # however, self.window.update() can break user code. An async callback
+        # is the safest way to achieve a complete draining of the event queue,
+        # but it leaks if no tk event loop is running. Therefore we explicitly
+        # check for an event loop and choose our best guess.
+        def delayed_destroy():
+            self.window.destroy()
+
+            if self._owns_mainloop and not Gcf.get_num_fig_managers():
+                self.window.quit()
+
+        if cbook._get_running_interactive_framework() == "tk":
+            # "after idle after 0" avoids Tcl error/race (GH #19940)
+            self.window.after_idle(self.window.after, 0, delayed_destroy)
+        else:
+            self.window.update()
+            delayed_destroy()
+
+    def get_window_title(self):
+        return self.window.wm_title()
+
+    def set_window_title(self, title):
+        self.window.wm_title(title)
+
+    def full_screen_toggle(self):
+        is_fullscreen = bool(self.window.attributes('-fullscreen'))
+        self.window.attributes('-fullscreen', not is_fullscreen)
+
+
+class NavigationToolbar2Tk(NavigationToolbar2, tk.Frame):
+    def __init__(self, canvas, window=None, *, pack_toolbar=True):
+        """
+        Parameters
+        ----------
+        canvas : `FigureCanvas`
+            The figure canvas on which to operate.
+        window : tk.Window
+            The tk.Window which owns this toolbar.
+        pack_toolbar : bool, default: True
+            If True, add the toolbar to the parent's pack manager's packing
+            list during initialization with ``side="bottom"`` and ``fill="x"``.
+            If you want to use the toolbar with a different layout manager, use
+            ``pack_toolbar=False``.
+        """
+
+        if window is None:
+            window = canvas.get_tk_widget().master
+        tk.Frame.__init__(self, master=window, borderwidth=2,
+                          width=int(canvas.figure.bbox.width), height=50)
+
+        self._buttons = {}
+        for text, tooltip_text, image_file, callback in self.toolitems:
+            if text is None:
+                # Add a spacer; return value is unused.
+                self._Spacer()
+            else:
+                self._buttons[text] = button = self._Button(
+                    text,
+                    str(cbook._get_data_path(f"images/{image_file}.png")),
+                    toggle=callback in ["zoom", "pan"],
+                    command=getattr(self, callback),
+                )
+                if tooltip_text is not None:
+                    add_tooltip(button, tooltip_text)
+
+        self._label_font = tkinter.font.Font(root=window, size=10)
+
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        label = tk.Label(master=self, font=self._label_font,
+                         text='\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}')
+        label.pack(side=tk.RIGHT)
+
+        self.message = tk.StringVar(master=self)
+        self._message_label = tk.Label(master=self, font=self._label_font,
+                                       textvariable=self.message,
+                                       justify=tk.RIGHT)
+        self._message_label.pack(side=tk.RIGHT)
+
+        NavigationToolbar2.__init__(self, canvas)
+        if pack_toolbar:
+            self.pack(side=tk.BOTTOM, fill=tk.X)
+
+    def _rescale(self):
+        """
+        Scale all children of the toolbar to current DPI setting.
+
+        Before this is called, the Tk scaling setting will have been updated to
+        match the new DPI. Tk widgets do not update for changes to scaling, but
+        all measurements made after the change will match the new scaling. Thus
+        this function re-applies all the same sizes in points, which Tk will
+        scale correctly to pixels.
+        """
+        for widget in self.winfo_children():
+            if isinstance(widget, (tk.Button, tk.Checkbutton)):
+                if hasattr(widget, '_image_file'):
+                    # Explicit class because ToolbarTk calls _rescale.
+                    NavigationToolbar2Tk._set_image_for_button(self, widget)
+                else:
+                    # Text-only button is handled by the font setting instead.
+                    pass
+            elif isinstance(widget, tk.Frame):
+                widget.configure(height='18p')
+                widget.pack_configure(padx='3p')
+            elif isinstance(widget, tk.Label):
+                pass  # Text is handled by the font setting instead.
+            else:
+                _log.warning('Unknown child class %s', widget.winfo_class)
+        self._label_font.configure(size=10)
+
+    def _update_buttons_checked(self):
+        # sync button checkstates to match active mode
+        for text, mode in [('Zoom', _Mode.ZOOM), ('Pan', _Mode.PAN)]:
+            if text in self._buttons:
+                if self.mode == mode:
+                    self._buttons[text].select()  # NOT .invoke()
+                else:
+                    self._buttons[text].deselect()
+
+    def pan(self, *args):
+        super().pan(*args)
+        self._update_buttons_checked()
+
+    def zoom(self, *args):
+        super().zoom(*args)
+        self._update_buttons_checked()
+
+    def set_message(self, s):
+        self.message.set(s)
+
+    def draw_rubberband(self, event, x0, y0, x1, y1):
+        # Block copied from remove_rubberband for backend_tools convenience.
+        if self.canvas._rubberband_rect_white:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_white)
+        if self.canvas._rubberband_rect_black:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_black)
+        height = self.canvas.figure.bbox.height
+        y0 = height - y0
+        y1 = height - y1
+        self.canvas._rubberband_rect_black = (
+            self.canvas._tkcanvas.create_rectangle(
+                x0, y0, x1, y1))
+        self.canvas._rubberband_rect_white = (
+            self.canvas._tkcanvas.create_rectangle(
+                x0, y0, x1, y1, outline='white', dash=(3, 3)))
+
+    def remove_rubberband(self):
+        if self.canvas._rubberband_rect_white:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_white)
+            self.canvas._rubberband_rect_white = None
+        if self.canvas._rubberband_rect_black:
+            self.canvas._tkcanvas.delete(self.canvas._rubberband_rect_black)
+            self.canvas._rubberband_rect_black = None
+
+    def _set_image_for_button(self, button):
+        """
+        Set the image for a button based on its pixel size.
+
+        The pixel size is determined by the DPI scaling of the window.
+        """
+        if button._image_file is None:
+            return
+
+        # Allow _image_file to be relative to Matplotlib's "images" data
+        # directory.
+        path_regular = cbook._get_data_path('images', button._image_file)
+        path_large = path_regular.with_name(
+            path_regular.name.replace('.png', '_large.png'))
+        size = button.winfo_pixels('18p')
+
+        # Nested functions because ToolbarTk calls  _Button.
+        def _get_color(color_name):
+            # `winfo_rgb` returns an (r, g, b) tuple in the range 0-65535
+            return button.winfo_rgb(button.cget(color_name))
+
+        def _is_dark(color):
+            if isinstance(color, str):
+                color = _get_color(color)
+            return max(color) < 65535 / 2
+
+        def _recolor_icon(image, color):
+            image_data = np.asarray(image).copy()
+            black_mask = (image_data[..., :3] == 0).all(axis=-1)
+            image_data[black_mask, :3] = color
+            return Image.fromarray(image_data, mode="RGBA")
+
+        # Use the high-resolution (48x48 px) icon if it exists and is needed
+        with Image.open(path_large if (size > 24 and path_large.exists())
+                        else path_regular) as im:
+            # assure a RGBA image as foreground color is RGB
+            im = im.convert("RGBA")
+            image = ImageTk.PhotoImage(im.resize((size, size)), master=self)
+            button._ntimage = image
+
+            # create a version of the icon with the button's text color
+            foreground = (255 / 65535) * np.array(
+                button.winfo_rgb(button.cget("foreground")))
+            im_alt = _recolor_icon(im, foreground)
+            image_alt = ImageTk.PhotoImage(
+                im_alt.resize((size, size)), master=self)
+            button._ntimage_alt = image_alt
+
+        if _is_dark("background"):
+            # For Checkbuttons, we need to set `image` and `selectimage` at
+            # the same time. Otherwise, when updating the `image` option
+            # (such as when changing DPI), if the old `selectimage` has
+            # just been overwritten, Tk will throw an error.
+            image_kwargs = {"image": image_alt}
+        else:
+            image_kwargs = {"image": image}
+        # Checkbuttons may switch the background to `selectcolor` in the
+        # checked state, so check separately which image it needs to use in
+        # that state to still ensure enough contrast with the background.
+        if (
+            isinstance(button, tk.Checkbutton)
+            and button.cget("selectcolor") != ""
+        ):
+            if self._windowingsystem != "x11":
+                selectcolor = "selectcolor"
+            else:
+                # On X11, selectcolor isn't used directly for indicator-less
+                # buttons. See `::tk::CheckEnter` in the Tk button.tcl source
+                # code for details.
+                r1, g1, b1 = _get_color("selectcolor")
+                r2, g2, b2 = _get_color("activebackground")
+                selectcolor = ((r1+r2)/2, (g1+g2)/2, (b1+b2)/2)
+            if _is_dark(selectcolor):
+                image_kwargs["selectimage"] = image_alt
+            else:
+                image_kwargs["selectimage"] = image
+
+        button.configure(**image_kwargs, height='18p', width='18p')
+
+    def _Button(self, text, image_file, toggle, command):
+        if not toggle:
+            b = tk.Button(
+                master=self, text=text, command=command,
+                relief="flat", overrelief="groove", borderwidth=1,
+            )
+        else:
+            # There is a bug in tkinter included in some python 3.6 versions
+            # that without this variable, produces a "visual" toggling of
+            # other near checkbuttons
+            # https://bugs.python.org/issue29402
+            # https://bugs.python.org/issue25684
+            var = tk.IntVar(master=self)
+            b = tk.Checkbutton(
+                master=self, text=text, command=command, indicatoron=False,
+                variable=var, offrelief="flat", overrelief="groove",
+                borderwidth=1
+            )
+            b.var = var
+        b._image_file = image_file
+        if image_file is not None:
+            # Explicit class because ToolbarTk calls _Button.
+            NavigationToolbar2Tk._set_image_for_button(self, b)
+        else:
+            b.configure(font=self._label_font)
+        b.pack(side=tk.LEFT)
+        return b
+
+    def _Spacer(self):
+        # Buttons are also 18pt high.
+        s = tk.Frame(master=self, height='18p', relief=tk.RIDGE, bg='DarkGray')
+        s.pack(side=tk.LEFT, padx='3p')
+        return s
+
+    def save_figure(self, *args):
+        filetypes = self.canvas.get_supported_filetypes_grouped()
+        tk_filetypes = [
+            (name, " ".join(f"*.{ext}" for ext in exts))
+            for name, exts in sorted(filetypes.items())
+        ]
+
+        default_extension = self.canvas.get_default_filetype()
+        default_filetype = self.canvas.get_supported_filetypes()[default_extension]
+        filetype_variable = tk.StringVar(self.canvas.get_tk_widget(), default_filetype)
+
+        # adding a default extension seems to break the
+        # asksaveasfilename dialog when you choose various save types
+        # from the dropdown.  Passing in the empty string seems to
+        # work - JDH!
+        # defaultextension = self.canvas.get_default_filetype()
+        defaultextension = ''
+        initialdir = os.path.expanduser(mpl.rcParams['savefig.directory'])
+        # get_default_filename() contains the default extension. On some platforms,
+        # choosing a different extension from the dropdown does not overwrite it,
+        # so we need to remove it to make the dropdown functional.
+        initialfile = pathlib.Path(self.canvas.get_default_filename()).stem
+        fname = tkinter.filedialog.asksaveasfilename(
+            master=self.canvas.get_tk_widget().master,
+            title='Save the figure',
+            filetypes=tk_filetypes,
+            defaultextension=defaultextension,
+            initialdir=initialdir,
+            initialfile=initialfile,
+            typevariable=filetype_variable
+            )
+
+        if fname in ["", ()]:
+            return None
+        # Save dir for next time, unless empty str (i.e., use cwd).
+        if initialdir != "":
+            mpl.rcParams['savefig.directory'] = (
+                os.path.dirname(str(fname)))
+
+        # If the filename contains an extension, let savefig() infer the file
+        # format from that. If it does not, use the selected dropdown option.
+        if pathlib.Path(fname).suffix[1:] != "":
+            extension = None
+        else:
+            extension = filetypes[filetype_variable.get()][0]
+
+        try:
+            self.canvas.figure.savefig(fname, format=extension)
+            return fname
+        except Exception as e:
+            tkinter.messagebox.showerror("Error saving file", str(e))
+
+    def set_history_buttons(self):
+        state_map = {True: tk.NORMAL, False: tk.DISABLED}
+        can_back = self._nav_stack._pos > 0
+        can_forward = self._nav_stack._pos < len(self._nav_stack) - 1
+        if "Back" in self._buttons:
+            self._buttons['Back']['state'] = state_map[can_back]
+        if "Forward" in self._buttons:
+            self._buttons['Forward']['state'] = state_map[can_forward]
+
+
+def add_tooltip(widget, text):
+    tipwindow = None
+
+    def showtip(event):
+        """Display text in tooltip window."""
+        nonlocal tipwindow
+        if tipwindow or not text:
+            return
+        x, y, _, _ = widget.bbox("insert")
+        x = x + widget.winfo_rootx() + widget.winfo_width()
+        y = y + widget.winfo_rooty()
+        tipwindow = tk.Toplevel(widget)
+        tipwindow.overrideredirect(1)
+        tipwindow.geometry(f"+{x}+{y}")
+        try:  # For Mac OS
+            tipwindow.tk.call("::tk::unsupported::MacWindowStyle",
+                              "style", tipwindow._w,
+                              "help", "noActivates")
+        except tk.TclError:
+            pass
+        label = tk.Label(tipwindow, text=text, justify=tk.LEFT,
+                         relief=tk.SOLID, borderwidth=1)
+        label.pack(ipadx=1)
+
+    def hidetip(event):
+        nonlocal tipwindow
+        if tipwindow:
+            tipwindow.destroy()
+        tipwindow = None
+
+    widget.bind("<Enter>", showtip)
+    widget.bind("<Leave>", hidetip)
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class RubberbandTk(backend_tools.RubberbandBase):
+    def draw_rubberband(self, x0, y0, x1, y1):
+        NavigationToolbar2Tk.draw_rubberband(
+            self._make_classic_style_pseudo_toolbar(), None, x0, y0, x1, y1)
+
+    def remove_rubberband(self):
+        NavigationToolbar2Tk.remove_rubberband(
+            self._make_classic_style_pseudo_toolbar())
+
+
+class ToolbarTk(ToolContainerBase, tk.Frame):
+    def __init__(self, toolmanager, window=None):
+        ToolContainerBase.__init__(self, toolmanager)
+        if window is None:
+            window = self.toolmanager.canvas.get_tk_widget().master
+        xmin, xmax = self.toolmanager.canvas.figure.bbox.intervalx
+        height, width = 50, xmax - xmin
+        tk.Frame.__init__(self, master=window,
+                          width=int(width), height=int(height),
+                          borderwidth=2)
+        self._label_font = tkinter.font.Font(size=10)
+        # This filler item ensures the toolbar is always at least two text
+        # lines high. Otherwise the canvas gets redrawn as the mouse hovers
+        # over images because those use two-line messages which resize the
+        # toolbar.
+        label = tk.Label(master=self, font=self._label_font,
+                         text='\N{NO-BREAK SPACE}\n\N{NO-BREAK SPACE}')
+        label.pack(side=tk.RIGHT)
+        self._message = tk.StringVar(master=self)
+        self._message_label = tk.Label(master=self, font=self._label_font,
+                                       textvariable=self._message)
+        self._message_label.pack(side=tk.RIGHT)
+        self._toolitems = {}
+        self.pack(side=tk.TOP, fill=tk.X)
+        self._groups = {}
+
+    def _rescale(self):
+        return NavigationToolbar2Tk._rescale(self)
+
+    def add_toolitem(
+            self, name, group, position, image_file, description, toggle):
+        frame = self._get_groupframe(group)
+        buttons = frame.pack_slaves()
+        if position >= len(buttons) or position < 0:
+            before = None
+        else:
+            before = buttons[position]
+        button = NavigationToolbar2Tk._Button(frame, name, image_file, toggle,
+                                              lambda: self._button_click(name))
+        button.pack_configure(before=before)
+        if description is not None:
+            add_tooltip(button, description)
+        self._toolitems.setdefault(name, [])
+        self._toolitems[name].append(button)
+
+    def _get_groupframe(self, group):
+        if group not in self._groups:
+            if self._groups:
+                self._add_separator()
+            frame = tk.Frame(master=self, borderwidth=0)
+            frame.pack(side=tk.LEFT, fill=tk.Y)
+            frame._label_font = self._label_font
+            self._groups[group] = frame
+        return self._groups[group]
+
+    def _add_separator(self):
+        return NavigationToolbar2Tk._Spacer(self)
+
+    def _button_click(self, name):
+        self.trigger_tool(name)
+
+    def toggle_toolitem(self, name, toggled):
+        if name not in self._toolitems:
+            return
+        for toolitem in self._toolitems[name]:
+            if toggled:
+                toolitem.select()
+            else:
+                toolitem.deselect()
+
+    def remove_toolitem(self, name):
+        for toolitem in self._toolitems.pop(name, []):
+            toolitem.pack_forget()
+
+    def set_message(self, s):
+        self._message.set(s)
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class SaveFigureTk(backend_tools.SaveFigureBase):
+    def trigger(self, *args):
+        NavigationToolbar2Tk.save_figure(
+            self._make_classic_style_pseudo_toolbar())
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class ConfigureSubplotsTk(backend_tools.ConfigureSubplotsBase):
+    def trigger(self, *args):
+        NavigationToolbar2Tk.configure_subplots(self)
+
+
+@backend_tools._register_tool_class(FigureCanvasTk)
+class HelpTk(backend_tools.ToolHelpBase):
+    def trigger(self, *args):
+        dialog = SimpleDialog(
+            self.figure.canvas._tkcanvas, self._get_help_text(), ["OK"])
+        dialog.done = lambda num: dialog.frame.master.withdraw()
+
+
+Toolbar = ToolbarTk
+FigureManagerTk._toolbar2_class = NavigationToolbar2Tk
+FigureManagerTk._toolmanager_toolbar_class = ToolbarTk
+
+
+@_Backend.export
+class _BackendTk(_Backend):
+    backend_version = tk.TkVersion
+    FigureCanvas = FigureCanvasTk
+    FigureManager = FigureManagerTk
+    mainloop = FigureManagerTk.start_main_loop

llava_video/lib/python3.10/site-packages/matplotlib/backends/_tkagg.cpython-310-x86_64-linux-gnu.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99882d0e2dcf8ad31d19c4669a3f8d0acf7f54719da08d38d071b10653aa93a7
+size 279120

llava_video/lib/python3.10/site-packages/matplotlib/backends/_tkagg.pyi

@@ -0,0 +1,15 @@
+import numpy as np
+from numpy.typing import NDArray
+
+TK_PHOTO_COMPOSITE_OVERLAY: int
+TK_PHOTO_COMPOSITE_SET: int
+
+def blit(
+    interp: int,
+    photo_name: str,
+    data: NDArray[np.uint8],
+    comp_rule: int,
+    offset: tuple[int, int, int, int],
+    bbox: tuple[int, int, int, int],
+) -> None: ...
+def enable_dpi_awareness(frame_handle: int, interp: int) -> bool | None: ...

llava_video/lib/python3.10/site-packages/matplotlib/backends/backend_agg.py

@@ -0,0 +1,528 @@
+"""
+An `Anti-Grain Geometry`_ (AGG) backend.
+
+Features that are implemented:
+
+* capstyles and join styles
+* dashes
+* linewidth
+* lines, rectangles, ellipses
+* clipping to a rectangle
+* output to RGBA and Pillow-supported image formats
+* alpha blending
+* DPI scaling properly - everything scales properly (dashes, linewidths, etc)
+* draw polygon
+* freetype2 w/ ft2font
+
+Still TODO:
+
+* integrate screen dpi w/ ppi and text
+
+.. _Anti-Grain Geometry: http://agg.sourceforge.net/antigrain.com
+"""
+
+from contextlib import nullcontext
+from math import radians, cos, sin
+
+import numpy as np
+
+import matplotlib as mpl
+from matplotlib import _api, cbook
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, RendererBase)
+from matplotlib.font_manager import fontManager as _fontManager, get_font
+from matplotlib.ft2font import LoadFlags
+from matplotlib.mathtext import MathTextParser
+from matplotlib.path import Path
+from matplotlib.transforms import Bbox, BboxBase
+from matplotlib.backends._backend_agg import RendererAgg as _RendererAgg
+
+
+def get_hinting_flag():
+    mapping = {
+        'default': LoadFlags.DEFAULT,
+        'no_autohint': LoadFlags.NO_AUTOHINT,
+        'force_autohint': LoadFlags.FORCE_AUTOHINT,
+        'no_hinting': LoadFlags.NO_HINTING,
+        True: LoadFlags.FORCE_AUTOHINT,
+        False: LoadFlags.NO_HINTING,
+        'either': LoadFlags.DEFAULT,
+        'native': LoadFlags.NO_AUTOHINT,
+        'auto': LoadFlags.FORCE_AUTOHINT,
+        'none': LoadFlags.NO_HINTING,
+    }
+    return mapping[mpl.rcParams['text.hinting']]
+
+
+class RendererAgg(RendererBase):
+    """
+    The renderer handles all the drawing primitives using a graphics
+    context instance that controls the colors/styles
+    """
+
+    def __init__(self, width, height, dpi):
+        super().__init__()
+
+        self.dpi = dpi
+        self.width = width
+        self.height = height
+        self._renderer = _RendererAgg(int(width), int(height), dpi)
+        self._filter_renderers = []
+
+        self._update_methods()
+        self.mathtext_parser = MathTextParser('agg')
+
+        self.bbox = Bbox.from_bounds(0, 0, self.width, self.height)
+
+    def __getstate__(self):
+        # We only want to preserve the init keywords of the Renderer.
+        # Anything else can be re-created.
+        return {'width': self.width, 'height': self.height, 'dpi': self.dpi}
+
+    def __setstate__(self, state):
+        self.__init__(state['width'], state['height'], state['dpi'])
+
+    def _update_methods(self):
+        self.draw_gouraud_triangles = self._renderer.draw_gouraud_triangles
+        self.draw_image = self._renderer.draw_image
+        self.draw_markers = self._renderer.draw_markers
+        self.draw_path_collection = self._renderer.draw_path_collection
+        self.draw_quad_mesh = self._renderer.draw_quad_mesh
+        self.copy_from_bbox = self._renderer.copy_from_bbox
+
+    def draw_path(self, gc, path, transform, rgbFace=None):
+        # docstring inherited
+        nmax = mpl.rcParams['agg.path.chunksize']  # here at least for testing
+        npts = path.vertices.shape[0]
+
+        if (npts > nmax > 100 and path.should_simplify and
+                rgbFace is None and gc.get_hatch() is None):
+            nch = np.ceil(npts / nmax)
+            chsize = int(np.ceil(npts / nch))
+            i0 = np.arange(0, npts, chsize)
+            i1 = np.zeros_like(i0)
+            i1[:-1] = i0[1:] - 1
+            i1[-1] = npts
+            for ii0, ii1 in zip(i0, i1):
+                v = path.vertices[ii0:ii1, :]
+                c = path.codes
+                if c is not None:
+                    c = c[ii0:ii1]
+                    c[0] = Path.MOVETO  # move to end of last chunk
+                p = Path(v, c)
+                p.simplify_threshold = path.simplify_threshold
+                try:
+                    self._renderer.draw_path(gc, p, transform, rgbFace)
+                except OverflowError:
+                    msg = (
+                        "Exceeded cell block limit in Agg.\n\n"
+                        "Please reduce the value of "
+                        f"rcParams['agg.path.chunksize'] (currently {nmax}) "
+                        "or increase the path simplification threshold"
+                        "(rcParams['path.simplify_threshold'] = "
+                        f"{mpl.rcParams['path.simplify_threshold']:.2f} by "
+                        "default and path.simplify_threshold = "
+                        f"{path.simplify_threshold:.2f} on the input)."
+                    )
+                    raise OverflowError(msg) from None
+        else:
+            try:
+                self._renderer.draw_path(gc, path, transform, rgbFace)
+            except OverflowError:
+                cant_chunk = ''
+                if rgbFace is not None:
+                    cant_chunk += "- cannot split filled path\n"
+                if gc.get_hatch() is not None:
+                    cant_chunk += "- cannot split hatched path\n"
+                if not path.should_simplify:
+                    cant_chunk += "- path.should_simplify is False\n"
+                if len(cant_chunk):
+                    msg = (
+                        "Exceeded cell block limit in Agg, however for the "
+                        "following reasons:\n\n"
+                        f"{cant_chunk}\n"
+                        "we cannot automatically split up this path to draw."
+                        "\n\nPlease manually simplify your path."
+                    )
+
+                else:
+                    inc_threshold = (
+                        "or increase the path simplification threshold"
+                        "(rcParams['path.simplify_threshold'] = "
+                        f"{mpl.rcParams['path.simplify_threshold']} "
+                        "by default and path.simplify_threshold "
+                        f"= {path.simplify_threshold} "
+                        "on the input)."
+                        )
+                    if nmax > 100:
+                        msg = (
+                            "Exceeded cell block limit in Agg.  Please reduce "
+                            "the value of rcParams['agg.path.chunksize'] "
+                            f"(currently {nmax}) {inc_threshold}"
+                        )
+                    else:
+                        msg = (
+                            "Exceeded cell block limit in Agg.  Please set "
+                            "the value of rcParams['agg.path.chunksize'], "
+                            f"(currently {nmax}) to be greater than 100 "
+                            + inc_threshold
+                        )
+
+                raise OverflowError(msg) from None
+
+    def draw_mathtext(self, gc, x, y, s, prop, angle):
+        """Draw mathtext using :mod:`matplotlib.mathtext`."""
+        ox, oy, width, height, descent, font_image = \
+            self.mathtext_parser.parse(s, self.dpi, prop,
+                                       antialiased=gc.get_antialiased())
+
+        xd = descent * sin(radians(angle))
+        yd = descent * cos(radians(angle))
+        x = round(x + ox + xd)
+        y = round(y - oy + yd)
+        self._renderer.draw_text_image(font_image, x, y + 1, angle, gc)
+
+    def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
+        # docstring inherited
+        if ismath:
+            return self.draw_mathtext(gc, x, y, s, prop, angle)
+        font = self._prepare_font(prop)
+        # We pass '0' for angle here, since it will be rotated (in raster
+        # space) in the following call to draw_text_image).
+        font.set_text(s, 0, flags=get_hinting_flag())
+        font.draw_glyphs_to_bitmap(
+            antialiased=gc.get_antialiased())
+        d = font.get_descent() / 64.0
+        # The descent needs to be adjusted for the angle.
+        xo, yo = font.get_bitmap_offset()
+        xo /= 64.0
+        yo /= 64.0
+        xd = d * sin(radians(angle))
+        yd = d * cos(radians(angle))
+        x = round(x + xo + xd)
+        y = round(y + yo + yd)
+        self._renderer.draw_text_image(font, x, y + 1, angle, gc)
+
+    def get_text_width_height_descent(self, s, prop, ismath):
+        # docstring inherited
+
+        _api.check_in_list(["TeX", True, False], ismath=ismath)
+        if ismath == "TeX":
+            return super().get_text_width_height_descent(s, prop, ismath)
+
+        if ismath:
+            ox, oy, width, height, descent, font_image = \
+                self.mathtext_parser.parse(s, self.dpi, prop)
+            return width, height, descent
+
+        font = self._prepare_font(prop)
+        font.set_text(s, 0.0, flags=get_hinting_flag())
+        w, h = font.get_width_height()  # width and height of unrotated string
+        d = font.get_descent()
+        w /= 64.0  # convert from subpixels
+        h /= 64.0
+        d /= 64.0
+        return w, h, d
+
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
+        # docstring inherited
+        # todo, handle props, angle, origins
+        size = prop.get_size_in_points()
+
+        texmanager = self.get_texmanager()
+
+        Z = texmanager.get_grey(s, size, self.dpi)
+        Z = np.array(Z * 255.0, np.uint8)
+
+        w, h, d = self.get_text_width_height_descent(s, prop, ismath="TeX")
+        xd = d * sin(radians(angle))
+        yd = d * cos(radians(angle))
+        x = round(x + xd)
+        y = round(y + yd)
+        self._renderer.draw_text_image(Z, x, y, angle, gc)
+
+    def get_canvas_width_height(self):
+        # docstring inherited
+        return self.width, self.height
+
+    def _prepare_font(self, font_prop):
+        """
+        Get the `.FT2Font` for *font_prop*, clear its buffer, and set its size.
+        """
+        font = get_font(_fontManager._find_fonts_by_props(font_prop))
+        font.clear()
+        size = font_prop.get_size_in_points()
+        font.set_size(size, self.dpi)
+        return font
+
+    def points_to_pixels(self, points):
+        # docstring inherited
+        return points * self.dpi / 72
+
+    def buffer_rgba(self):
+        return memoryview(self._renderer)
+
+    def tostring_argb(self):
+        return np.asarray(self._renderer).take([3, 0, 1, 2], axis=2).tobytes()
+
+    def clear(self):
+        self._renderer.clear()
+
+    def option_image_nocomposite(self):
+        # docstring inherited
+
+        # It is generally faster to composite each image directly to
+        # the Figure, and there's no file size benefit to compositing
+        # with the Agg backend
+        return True
+
+    def option_scale_image(self):
+        # docstring inherited
+        return False
+
+    def restore_region(self, region, bbox=None, xy=None):
+        """
+        Restore the saved region. If bbox (instance of BboxBase, or
+        its extents) is given, only the region specified by the bbox
+        will be restored. *xy* (a pair of floats) optionally
+        specifies the new position (the LLC of the original region,
+        not the LLC of the bbox) where the region will be restored.
+
+        >>> region = renderer.copy_from_bbox()
+        >>> x1, y1, x2, y2 = region.get_extents()
+        >>> renderer.restore_region(region, bbox=(x1+dx, y1, x2, y2),
+        ...                         xy=(x1-dx, y1))
+
+        """
+        if bbox is not None or xy is not None:
+            if bbox is None:
+                x1, y1, x2, y2 = region.get_extents()
+            elif isinstance(bbox, BboxBase):
+                x1, y1, x2, y2 = bbox.extents
+            else:
+                x1, y1, x2, y2 = bbox
+
+            if xy is None:
+                ox, oy = x1, y1
+            else:
+                ox, oy = xy
+
+            # The incoming data is float, but the _renderer type-checking wants
+            # to see integers.
+            self._renderer.restore_region(region, int(x1), int(y1),
+                                          int(x2), int(y2), int(ox), int(oy))
+
+        else:
+            self._renderer.restore_region(region)
+
+    def start_filter(self):
+        """
+        Start filtering. It simply creates a new canvas (the old one is saved).
+        """
+        self._filter_renderers.append(self._renderer)
+        self._renderer = _RendererAgg(int(self.width), int(self.height),
+                                      self.dpi)
+        self._update_methods()
+
+    def stop_filter(self, post_processing):
+        """
+        Save the current canvas as an image and apply post processing.
+
+        The *post_processing* function::
+
+           def post_processing(image, dpi):
+             # ny, nx, depth = image.shape
+             # image (numpy array) has RGBA channels and has a depth of 4.
+             ...
+             # create a new_image (numpy array of 4 channels, size can be
+             # different). The resulting image may have offsets from
+             # lower-left corner of the original image
+             return new_image, offset_x, offset_y
+
+        The saved renderer is restored and the returned image from
+        post_processing is plotted (using draw_image) on it.
+        """
+        orig_img = np.asarray(self.buffer_rgba())
+        slice_y, slice_x = cbook._get_nonzero_slices(orig_img[..., 3])
+        cropped_img = orig_img[slice_y, slice_x]
+
+        self._renderer = self._filter_renderers.pop()
+        self._update_methods()
+
+        if cropped_img.size:
+            img, ox, oy = post_processing(cropped_img / 255, self.dpi)
+            gc = self.new_gc()
+            if img.dtype.kind == 'f':
+                img = np.asarray(img * 255., np.uint8)
+            self._renderer.draw_image(
+                gc, slice_x.start + ox, int(self.height) - slice_y.stop + oy,
+                img[::-1])
+
+
+class FigureCanvasAgg(FigureCanvasBase):
+    # docstring inherited
+
+    _lastKey = None  # Overwritten per-instance on the first draw.
+
+    def copy_from_bbox(self, bbox):
+        renderer = self.get_renderer()
+        return renderer.copy_from_bbox(bbox)
+
+    def restore_region(self, region, bbox=None, xy=None):
+        renderer = self.get_renderer()
+        return renderer.restore_region(region, bbox, xy)
+
+    def draw(self):
+        # docstring inherited
+        self.renderer = self.get_renderer()
+        self.renderer.clear()
+        # Acquire a lock on the shared font cache.
+        with (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar
+              else nullcontext()):
+            self.figure.draw(self.renderer)
+            # A GUI class may be need to update a window using this draw, so
+            # don't forget to call the superclass.
+            super().draw()
+
+    def get_renderer(self):
+        w, h = self.figure.bbox.size
+        key = w, h, self.figure.dpi
+        reuse_renderer = (self._lastKey == key)
+        if not reuse_renderer:
+            self.renderer = RendererAgg(w, h, self.figure.dpi)
+            self._lastKey = key
+        return self.renderer
+
+    def tostring_argb(self):
+        """
+        Get the image as ARGB `bytes`.
+
+        `draw` must be called at least once before this function will work and
+        to update the renderer for any subsequent changes to the Figure.
+        """
+        return self.renderer.tostring_argb()
+
+    def buffer_rgba(self):
+        """
+        Get the image as a `memoryview` to the renderer's buffer.
+
+        `draw` must be called at least once before this function will work and
+        to update the renderer for any subsequent changes to the Figure.
+        """
+        return self.renderer.buffer_rgba()
+
+    def print_raw(self, filename_or_obj, *, metadata=None):
+        if metadata is not None:
+            raise ValueError("metadata not supported for raw/rgba")
+        FigureCanvasAgg.draw(self)
+        renderer = self.get_renderer()
+        with cbook.open_file_cm(filename_or_obj, "wb") as fh:
+            fh.write(renderer.buffer_rgba())
+
+    print_rgba = print_raw
+
+    def _print_pil(self, filename_or_obj, fmt, pil_kwargs, metadata=None):
+        """
+        Draw the canvas, then save it using `.image.imsave` (to which
+        *pil_kwargs* and *metadata* are forwarded).
+        """
+        FigureCanvasAgg.draw(self)
+        mpl.image.imsave(
+            filename_or_obj, self.buffer_rgba(), format=fmt, origin="upper",
+            dpi=self.figure.dpi, metadata=metadata, pil_kwargs=pil_kwargs)
+
+    def print_png(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        """
+        Write the figure to a PNG file.
+
+        Parameters
+        ----------
+        filename_or_obj : str or path-like or file-like
+            The file to write to.
+
+        metadata : dict, optional
+            Metadata in the PNG file as key-value pairs of bytes or latin-1
+            encodable strings.
+            According to the PNG specification, keys must be shorter than 79
+            chars.
+
+            The `PNG specification`_ defines some common keywords that may be
+            used as appropriate:
+
+            - Title: Short (one line) title or caption for image.
+            - Author: Name of image's creator.
+            - Description: Description of image (possibly long).
+            - Copyright: Copyright notice.
+            - Creation Time: Time of original image creation
+              (usually RFC 1123 format).
+            - Software: Software used to create the image.
+            - Disclaimer: Legal disclaimer.
+            - Warning: Warning of nature of content.
+            - Source: Device used to create the image.
+            - Comment: Miscellaneous comment;
+              conversion from other image format.
+
+            Other keywords may be invented for other purposes.
+
+            If 'Software' is not given, an autogenerated value for Matplotlib
+            will be used.  This can be removed by setting it to *None*.
+
+            For more details see the `PNG specification`_.
+
+            .. _PNG specification: \
+                https://www.w3.org/TR/2003/REC-PNG-20031110/#11keywords
+
+        pil_kwargs : dict, optional
+            Keyword arguments passed to `PIL.Image.Image.save`.
+
+            If the 'pnginfo' key is present, it completely overrides
+            *metadata*, including the default 'Software' key.
+        """
+        self._print_pil(filename_or_obj, "png", pil_kwargs, metadata)
+
+    def print_to_buffer(self):
+        FigureCanvasAgg.draw(self)
+        renderer = self.get_renderer()
+        return (bytes(renderer.buffer_rgba()),
+                (int(renderer.width), int(renderer.height)))
+
+    # Note that these methods should typically be called via savefig() and
+    # print_figure(), and the latter ensures that `self.figure.dpi` already
+    # matches the dpi kwarg (if any).
+
+    def print_jpg(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        # savefig() has already applied savefig.facecolor; we now set it to
+        # white to make imsave() blend semi-transparent figures against an
+        # assumed white background.
+        with mpl.rc_context({"savefig.facecolor": "white"}):
+            self._print_pil(filename_or_obj, "jpeg", pil_kwargs, metadata)
+
+    print_jpeg = print_jpg
+
+    def print_tif(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        self._print_pil(filename_or_obj, "tiff", pil_kwargs, metadata)
+
+    print_tiff = print_tif
+
+    def print_webp(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
+        self._print_pil(filename_or_obj, "webp", pil_kwargs, metadata)
+
+    print_jpg.__doc__, print_tif.__doc__, print_webp.__doc__ = map(
+        """
+        Write the figure to a {} file.
+
+        Parameters
+        ----------
+        filename_or_obj : str or path-like or file-like
+            The file to write to.
+        pil_kwargs : dict, optional
+            Additional keyword arguments that are passed to
+            `PIL.Image.Image.save` when saving the figure.
+        """.format, ["JPEG", "TIFF", "WebP"])
+
+
+@_Backend.export
+class _BackendAgg(_Backend):
+    backend_version = 'v2.2'
+    FigureCanvas = FigureCanvasAgg
+    FigureManager = FigureManagerBase

llava_video/lib/python3.10/site-packages/matplotlib/backends/backend_pgf.py

@@ -0,0 +1,1010 @@
+import codecs
+import datetime
+import functools
+from io import BytesIO
+import logging
+import math
+import os
+import pathlib
+import shutil
+import subprocess
+from tempfile import TemporaryDirectory
+import weakref
+
+from PIL import Image
+
+import matplotlib as mpl
+from matplotlib import cbook, font_manager as fm
+from matplotlib.backend_bases import (
+    _Backend, FigureCanvasBase, FigureManagerBase, RendererBase
+)
+from matplotlib.backends.backend_mixed import MixedModeRenderer
+from matplotlib.backends.backend_pdf import (
+    _create_pdf_info_dict, _datetime_to_pdf)
+from matplotlib.path import Path
+from matplotlib.figure import Figure
+from matplotlib.font_manager import FontProperties
+from matplotlib._pylab_helpers import Gcf
+
+_log = logging.getLogger(__name__)
+
+
+_DOCUMENTCLASS = r"\documentclass{article}"
+
+
+# Note: When formatting floating point values, it is important to use the
+# %f/{:f} format rather than %s/{} to avoid triggering scientific notation,
+# which is not recognized by TeX.
+
+def _get_preamble():
+    """Prepare a LaTeX preamble based on the rcParams configuration."""
+    font_size_pt = FontProperties(
+        size=mpl.rcParams["font.size"]
+    ).get_size_in_points()
+    return "\n".join([
+        # Remove Matplotlib's custom command \mathdefault.  (Not using
+        # \mathnormal instead since this looks odd with Computer Modern.)
+        r"\def\mathdefault#1{#1}",
+        # Use displaystyle for all math.
+        r"\everymath=\expandafter{\the\everymath\displaystyle}",
+        # Set up font sizes to match font.size setting.
+        # If present, use the KOMA package scrextend to adjust the standard
+        # LaTeX font commands (\tiny, ..., \normalsize, ..., \Huge) accordingly.
+        # Otherwise, only set \normalsize, manually.
+        r"\IfFileExists{scrextend.sty}{",
+        r"  \usepackage[fontsize=%fpt]{scrextend}" % font_size_pt,
+        r"}{",
+        r"  \renewcommand{\normalsize}{\fontsize{%f}{%f}\selectfont}"
+        % (font_size_pt, 1.2 * font_size_pt),
+        r"  \normalsize",
+        r"}",
+        # Allow pgf.preamble to override the above definitions.
+        mpl.rcParams["pgf.preamble"],
+        *([
+            r"\ifdefined\pdftexversion\else  % non-pdftex case.",
+            r"  \usepackage{fontspec}",
+        ] + [
+            r"  \%s{%s}[Path=\detokenize{%s/}]"
+            % (command, path.name, path.parent.as_posix())
+            for command, path in zip(
+                ["setmainfont", "setsansfont", "setmonofont"],
+                [pathlib.Path(fm.findfont(family))
+                 for family in ["serif", "sans\\-serif", "monospace"]]
+            )
+        ] + [r"\fi"] if mpl.rcParams["pgf.rcfonts"] else []),
+        # Documented as "must come last".
+        mpl.texmanager._usepackage_if_not_loaded("underscore", option="strings"),
+    ])
+
+
+# It's better to use only one unit for all coordinates, since the
+# arithmetic in latex seems to produce inaccurate conversions.
+latex_pt_to_in = 1. / 72.27
+latex_in_to_pt = 1. / latex_pt_to_in
+mpl_pt_to_in = 1. / 72.
+mpl_in_to_pt = 1. / mpl_pt_to_in
+
+
+def _tex_escape(text):
+    r"""
+    Do some necessary and/or useful substitutions for texts to be included in
+    LaTeX documents.
+    """
+    return text.replace("\N{MINUS SIGN}", r"\ensuremath{-}")
+
+
+def _writeln(fh, line):
+    # Ending lines with a % prevents TeX from inserting spurious spaces
+    # (https://tex.stackexchange.com/questions/7453).
+    fh.write(line)
+    fh.write("%\n")
+
+
+def _escape_and_apply_props(s, prop):
+    """
+    Generate a TeX string that renders string *s* with font properties *prop*,
+    also applying any required escapes to *s*.
+    """
+    commands = []
+
+    families = {"serif": r"\rmfamily", "sans": r"\sffamily",
+                "sans-serif": r"\sffamily", "monospace": r"\ttfamily"}
+    family = prop.get_family()[0]
+    if family in families:
+        commands.append(families[family])
+    elif not mpl.rcParams["pgf.rcfonts"]:
+        commands.append(r"\fontfamily{\familydefault}")
+    elif any(font.name == family for font in fm.fontManager.ttflist):
+        commands.append(
+            r"\ifdefined\pdftexversion\else\setmainfont{%s}\rmfamily\fi" % family)
+    else:
+        _log.warning("Ignoring unknown font: %s", family)
+
+    size = prop.get_size_in_points()
+    commands.append(r"\fontsize{%f}{%f}" % (size, size * 1.2))
+
+    styles = {"normal": r"", "italic": r"\itshape", "oblique": r"\slshape"}
+    commands.append(styles[prop.get_style()])
+
+    boldstyles = ["semibold", "demibold", "demi", "bold", "heavy",
+                  "extra bold", "black"]
+    if prop.get_weight() in boldstyles:
+        commands.append(r"\bfseries")
+
+    commands.append(r"\selectfont")
+    return (
+        "{"
+        + "".join(commands)
+        + r"\catcode`\^=\active\def^{\ifmmode\sp\else\^{}\fi}"
+        # It should normally be enough to set the catcode of % to 12 ("normal
+        # character"); this works on TeXLive 2021 but not on 2018, so we just
+        # make it active too.
+        + r"\catcode`\%=\active\def%{\%}"
+        + _tex_escape(s)
+        + "}"
+    )
+
+
+def _metadata_to_str(key, value):
+    """Convert metadata key/value to a form that hyperref accepts."""
+    if isinstance(value, datetime.datetime):
+        value = _datetime_to_pdf(value)
+    elif key == 'Trapped':
+        value = value.name.decode('ascii')
+    else:
+        value = str(value)
+    return f'{key}={{{value}}}'
+
+
+def make_pdf_to_png_converter():
+    """Return a function that converts a pdf file to a png file."""
+    try:
+        mpl._get_executable_info("pdftocairo")
+    except mpl.ExecutableNotFoundError:
+        pass
+    else:
+        return lambda pdffile, pngfile, dpi: subprocess.check_output(
+            ["pdftocairo", "-singlefile", "-transp", "-png", "-r", "%d" % dpi,
+             pdffile, os.path.splitext(pngfile)[0]],
+            stderr=subprocess.STDOUT)
+    try:
+        gs_info = mpl._get_executable_info("gs")
+    except mpl.ExecutableNotFoundError:
+        pass
+    else:
+        return lambda pdffile, pngfile, dpi: subprocess.check_output(
+            [gs_info.executable,
+             '-dQUIET', '-dSAFER', '-dBATCH', '-dNOPAUSE', '-dNOPROMPT',
+             '-dUseCIEColor', '-dTextAlphaBits=4',
+             '-dGraphicsAlphaBits=4', '-dDOINTERPOLATE',
+             '-sDEVICE=pngalpha', '-sOutputFile=%s' % pngfile,
+             '-r%d' % dpi, pdffile],
+            stderr=subprocess.STDOUT)
+    raise RuntimeError("No suitable pdf to png renderer found.")
+
+
+class LatexError(Exception):
+    def __init__(self, message, latex_output=""):
+        super().__init__(message)
+        self.latex_output = latex_output
+
+    def __str__(self):
+        s, = self.args
+        if self.latex_output:
+            s += "\n" + self.latex_output
+        return s
+
+
+class LatexManager:
+    """
+    The LatexManager opens an instance of the LaTeX application for
+    determining the metrics of text elements. The LaTeX environment can be
+    modified by setting fonts and/or a custom preamble in `.rcParams`.
+    """
+
+    @staticmethod
+    def _build_latex_header():
+        latex_header = [
+            _DOCUMENTCLASS,
+            # Include TeX program name as a comment for cache invalidation.
+            # TeX does not allow this to be the first line.
+            rf"% !TeX program = {mpl.rcParams['pgf.texsystem']}",
+            # Test whether \includegraphics supports interpolate option.
+            r"\usepackage{graphicx}",
+            _get_preamble(),
+            r"\begin{document}",
+            r"\typeout{pgf_backend_query_start}",
+        ]
+        return "\n".join(latex_header)
+
+    @classmethod
+    def _get_cached_or_new(cls):
+        """
+        Return the previous LatexManager if the header and tex system did not
+        change, or a new instance otherwise.
+        """
+        return cls._get_cached_or_new_impl(cls._build_latex_header())
+
+    @classmethod
+    @functools.lru_cache(1)
+    def _get_cached_or_new_impl(cls, header):  # Helper for _get_cached_or_new.
+        return cls()
+
+    def _stdin_writeln(self, s):
+        if self.latex is None:
+            self._setup_latex_process()
+        self.latex.stdin.write(s)
+        self.latex.stdin.write("\n")
+        self.latex.stdin.flush()
+
+    def _expect(self, s):
+        s = list(s)
+        chars = []
+        while True:
+            c = self.latex.stdout.read(1)
+            chars.append(c)
+            if chars[-len(s):] == s:
+                break
+            if not c:
+                self.latex.kill()
+                self.latex = None
+                raise LatexError("LaTeX process halted", "".join(chars))
+        return "".join(chars)
+
+    def _expect_prompt(self):
+        return self._expect("\n*")
+
+    def __init__(self):
+        # create a tmp directory for running latex, register it for deletion
+        self._tmpdir = TemporaryDirectory()
+        self.tmpdir = self._tmpdir.name
+        self._finalize_tmpdir = weakref.finalize(self, self._tmpdir.cleanup)
+
+        # test the LaTeX setup to ensure a clean startup of the subprocess
+        self._setup_latex_process(expect_reply=False)
+        stdout, stderr = self.latex.communicate("\n\\makeatletter\\@@end\n")
+        if self.latex.returncode != 0:
+            raise LatexError(
+                f"LaTeX errored (probably missing font or error in preamble) "
+                f"while processing the following input:\n"
+                f"{self._build_latex_header()}",
+                stdout)
+        self.latex = None  # Will be set up on first use.
+        # Per-instance cache.
+        self._get_box_metrics = functools.lru_cache(self._get_box_metrics)
+
+    def _setup_latex_process(self, *, expect_reply=True):
+        # Open LaTeX process for real work; register it for deletion.  On
+        # Windows, we must ensure that the subprocess has quit before being
+        # able to delete the tmpdir in which it runs; in order to do so, we
+        # must first `kill()` it, and then `communicate()` with or `wait()` on
+        # it.
+        try:
+            self.latex = subprocess.Popen(
+                [mpl.rcParams["pgf.texsystem"], "-halt-on-error"],
+                stdin=subprocess.PIPE, stdout=subprocess.PIPE,
+                encoding="utf-8", cwd=self.tmpdir)
+        except FileNotFoundError as err:
+            raise RuntimeError(
+                f"{mpl.rcParams['pgf.texsystem']!r} not found; install it or change "
+                f"rcParams['pgf.texsystem'] to an available TeX implementation"
+            ) from err
+        except OSError as err:
+            raise RuntimeError(
+                f"Error starting {mpl.rcParams['pgf.texsystem']!r}") from err
+
+        def finalize_latex(latex):
+            latex.kill()
+            try:
+                latex.communicate()
+            except RuntimeError:
+                latex.wait()
+
+        self._finalize_latex = weakref.finalize(
+            self, finalize_latex, self.latex)
+        # write header with 'pgf_backend_query_start' token
+        self._stdin_writeln(self._build_latex_header())
+        if expect_reply:  # read until 'pgf_backend_query_start' token appears
+            self._expect("*pgf_backend_query_start")
+            self._expect_prompt()
+
+    def get_width_height_descent(self, text, prop):
+        """
+        Get the width, total height, and descent (in TeX points) for a text
+        typeset by the current LaTeX environment.
+        """
+        return self._get_box_metrics(_escape_and_apply_props(text, prop))
+
+    def _get_box_metrics(self, tex):
+        """
+        Get the width, total height and descent (in TeX points) for a TeX
+        command's output in the current LaTeX environment.
+        """
+        # This method gets wrapped in __init__ for per-instance caching.
+        self._stdin_writeln(  # Send textbox to TeX & request metrics typeout.
+            # \sbox doesn't handle catcode assignments inside its argument,
+            # so repeat the assignment of the catcode of "^" and "%" outside.
+            r"{\catcode`\^=\active\catcode`\%%=\active\sbox0{%s}"
+            r"\typeout{\the\wd0,\the\ht0,\the\dp0}}"
+            % tex)
+        try:
+            answer = self._expect_prompt()
+        except LatexError as err:
+            # Here and below, use '{}' instead of {!r} to avoid doubling all
+            # backslashes.
+            raise ValueError("Error measuring {}\nLaTeX Output:\n{}"
+                             .format(tex, err.latex_output)) from err
+        try:
+            # Parse metrics from the answer string.  Last line is prompt, and
+            # next-to-last-line is blank line from \typeout.
+            width, height, offset = answer.splitlines()[-3].split(",")
+        except Exception as err:
+            raise ValueError("Error measuring {}\nLaTeX Output:\n{}"
+                             .format(tex, answer)) from err
+        w, h, o = float(width[:-2]), float(height[:-2]), float(offset[:-2])
+        # The height returned from LaTeX goes from base to top;
+        # the height Matplotlib expects goes from bottom to top.
+        return w, h + o, o
+
+
+@functools.lru_cache(1)
+def _get_image_inclusion_command():
+    man = LatexManager._get_cached_or_new()
+    man._stdin_writeln(
+        r"\includegraphics[interpolate=true]{%s}"
+        # Don't mess with backslashes on Windows.
+        % cbook._get_data_path("images/matplotlib.png").as_posix())
+    try:
+        man._expect_prompt()
+        return r"\includegraphics"
+    except LatexError:
+        # Discard the broken manager.
+        LatexManager._get_cached_or_new_impl.cache_clear()
+        return r"\pgfimage"
+
+
+class RendererPgf(RendererBase):
+
+    def __init__(self, figure, fh):
+        """
+        Create a new PGF renderer that translates any drawing instruction
+        into text commands to be interpreted in a latex pgfpicture environment.
+
+        Attributes
+        ----------
+        figure : `~matplotlib.figure.Figure`
+            Matplotlib figure to initialize height, width and dpi from.
+        fh : file-like
+            File handle for the output of the drawing commands.
+        """
+
+        super().__init__()
+        self.dpi = figure.dpi
+        self.fh = fh
+        self.figure = figure
+        self.image_counter = 0
+
+    def draw_markers(self, gc, marker_path, marker_trans, path, trans,
+                     rgbFace=None):
+        # docstring inherited
+
+        _writeln(self.fh, r"\begin{pgfscope}")
+
+        # convert from display units to in
+        f = 1. / self.dpi
+
+        # set style and clip
+        self._print_pgf_clip(gc)
+        self._print_pgf_path_styles(gc, rgbFace)
+
+        # build marker definition
+        bl, tr = marker_path.get_extents(marker_trans).get_points()
+        coords = bl[0] * f, bl[1] * f, tr[0] * f, tr[1] * f
+        _writeln(self.fh,
+                 r"\pgfsys@defobject{currentmarker}"
+                 r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}{" % coords)
+        self._print_pgf_path(None, marker_path, marker_trans)
+        self._pgf_path_draw(stroke=gc.get_linewidth() != 0.0,
+                            fill=rgbFace is not None)
+        _writeln(self.fh, r"}")
+
+        maxcoord = 16383 / 72.27 * self.dpi  # Max dimensions in LaTeX.
+        clip = (-maxcoord, -maxcoord, maxcoord, maxcoord)
+
+        # draw marker for each vertex
+        for point, code in path.iter_segments(trans, simplify=False,
+                                              clip=clip):
+            x, y = point[0] * f, point[1] * f
+            _writeln(self.fh, r"\begin{pgfscope}")
+            _writeln(self.fh, r"\pgfsys@transformshift{%fin}{%fin}" % (x, y))
+            _writeln(self.fh, r"\pgfsys@useobject{currentmarker}{}")
+            _writeln(self.fh, r"\end{pgfscope}")
+
+        _writeln(self.fh, r"\end{pgfscope}")
+
+    def draw_path(self, gc, path, transform, rgbFace=None):
+        # docstring inherited
+        _writeln(self.fh, r"\begin{pgfscope}")
+        # draw the path
+        self._print_pgf_clip(gc)
+        self._print_pgf_path_styles(gc, rgbFace)
+        self._print_pgf_path(gc, path, transform, rgbFace)
+        self._pgf_path_draw(stroke=gc.get_linewidth() != 0.0,
+                            fill=rgbFace is not None)
+        _writeln(self.fh, r"\end{pgfscope}")
+
+        # if present, draw pattern on top
+        if gc.get_hatch():
+            _writeln(self.fh, r"\begin{pgfscope}")
+            self._print_pgf_path_styles(gc, rgbFace)
+
+            # combine clip and path for clipping
+            self._print_pgf_clip(gc)
+            self._print_pgf_path(gc, path, transform, rgbFace)
+            _writeln(self.fh, r"\pgfusepath{clip}")
+
+            # build pattern definition
+            _writeln(self.fh,
+                     r"\pgfsys@defobject{currentpattern}"
+                     r"{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}{")
+            _writeln(self.fh, r"\begin{pgfscope}")
+            _writeln(self.fh,
+                     r"\pgfpathrectangle"
+                     r"{\pgfqpoint{0in}{0in}}{\pgfqpoint{1in}{1in}}")
+            _writeln(self.fh, r"\pgfusepath{clip}")
+            scale = mpl.transforms.Affine2D().scale(self.dpi)
+            self._print_pgf_path(None, gc.get_hatch_path(), scale)
+            self._pgf_path_draw(stroke=True)
+            _writeln(self.fh, r"\end{pgfscope}")
+            _writeln(self.fh, r"}")
+            # repeat pattern, filling the bounding rect of the path
+            f = 1. / self.dpi
+            (xmin, ymin), (xmax, ymax) = \
+                path.get_extents(transform).get_points()
+            xmin, xmax = f * xmin, f * xmax
+            ymin, ymax = f * ymin, f * ymax
+            repx, repy = math.ceil(xmax - xmin), math.ceil(ymax - ymin)
+            _writeln(self.fh,
+                     r"\pgfsys@transformshift{%fin}{%fin}" % (xmin, ymin))
+            for iy in range(repy):
+                for ix in range(repx):
+                    _writeln(self.fh, r"\pgfsys@useobject{currentpattern}{}")
+                    _writeln(self.fh, r"\pgfsys@transformshift{1in}{0in}")
+                _writeln(self.fh, r"\pgfsys@transformshift{-%din}{0in}" % repx)
+                _writeln(self.fh, r"\pgfsys@transformshift{0in}{1in}")
+
+            _writeln(self.fh, r"\end{pgfscope}")
+
+    def _print_pgf_clip(self, gc):
+        f = 1. / self.dpi
+        # check for clip box
+        bbox = gc.get_clip_rectangle()
+        if bbox:
+            p1, p2 = bbox.get_points()
+            w, h = p2 - p1
+            coords = p1[0] * f, p1[1] * f, w * f, h * f
+            _writeln(self.fh,
+                     r"\pgfpathrectangle"
+                     r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}"
+                     % coords)
+            _writeln(self.fh, r"\pgfusepath{clip}")
+
+        # check for clip path
+        clippath, clippath_trans = gc.get_clip_path()
+        if clippath is not None:
+            self._print_pgf_path(gc, clippath, clippath_trans)
+            _writeln(self.fh, r"\pgfusepath{clip}")
+
+    def _print_pgf_path_styles(self, gc, rgbFace):
+        # cap style
+        capstyles = {"butt": r"\pgfsetbuttcap",
+                     "round": r"\pgfsetroundcap",
+                     "projecting": r"\pgfsetrectcap"}
+        _writeln(self.fh, capstyles[gc.get_capstyle()])
+
+        # join style
+        joinstyles = {"miter": r"\pgfsetmiterjoin",
+                      "round": r"\pgfsetroundjoin",
+                      "bevel": r"\pgfsetbeveljoin"}
+        _writeln(self.fh, joinstyles[gc.get_joinstyle()])
+
+        # filling
+        has_fill = rgbFace is not None
+
+        if gc.get_forced_alpha():
+            fillopacity = strokeopacity = gc.get_alpha()
+        else:
+            strokeopacity = gc.get_rgb()[3]
+            fillopacity = rgbFace[3] if has_fill and len(rgbFace) > 3 else 1.0
+
+        if has_fill:
+            _writeln(self.fh,
+                     r"\definecolor{currentfill}{rgb}{%f,%f,%f}"
+                     % tuple(rgbFace[:3]))
+            _writeln(self.fh, r"\pgfsetfillcolor{currentfill}")
+        if has_fill and fillopacity != 1.0:
+            _writeln(self.fh, r"\pgfsetfillopacity{%f}" % fillopacity)
+
+        # linewidth and color
+        lw = gc.get_linewidth() * mpl_pt_to_in * latex_in_to_pt
+        stroke_rgba = gc.get_rgb()
+        _writeln(self.fh, r"\pgfsetlinewidth{%fpt}" % lw)
+        _writeln(self.fh,
+                 r"\definecolor{currentstroke}{rgb}{%f,%f,%f}"
+                 % stroke_rgba[:3])
+        _writeln(self.fh, r"\pgfsetstrokecolor{currentstroke}")
+        if strokeopacity != 1.0:
+            _writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % strokeopacity)
+
+        # line style
+        dash_offset, dash_list = gc.get_dashes()
+        if dash_list is None:
+            _writeln(self.fh, r"\pgfsetdash{}{0pt}")
+        else:
+            _writeln(self.fh,
+                     r"\pgfsetdash{%s}{%fpt}"
+                     % ("".join(r"{%fpt}" % dash for dash in dash_list),
+                        dash_offset))
+
+    def _print_pgf_path(self, gc, path, transform, rgbFace=None):
+        f = 1. / self.dpi
+        # check for clip box / ignore clip for filled paths
+        bbox = gc.get_clip_rectangle() if gc else None
+        maxcoord = 16383 / 72.27 * self.dpi  # Max dimensions in LaTeX.
+        if bbox and (rgbFace is None):
+            p1, p2 = bbox.get_points()
+            clip = (max(p1[0], -maxcoord), max(p1[1], -maxcoord),
+                    min(p2[0], maxcoord), min(p2[1], maxcoord))
+        else:
+            clip = (-maxcoord, -maxcoord, maxcoord, maxcoord)
+        # build path
+        for points, code in path.iter_segments(transform, clip=clip):
+            if code == Path.MOVETO:
+                x, y = tuple(points)
+                _writeln(self.fh,
+                         r"\pgfpathmoveto{\pgfqpoint{%fin}{%fin}}" %
+                         (f * x, f * y))
+            elif code == Path.CLOSEPOLY:
+                _writeln(self.fh, r"\pgfpathclose")
+            elif code == Path.LINETO:
+                x, y = tuple(points)
+                _writeln(self.fh,
+                         r"\pgfpathlineto{\pgfqpoint{%fin}{%fin}}" %
+                         (f * x, f * y))
+            elif code == Path.CURVE3:
+                cx, cy, px, py = tuple(points)
+                coords = cx * f, cy * f, px * f, py * f
+                _writeln(self.fh,
+                         r"\pgfpathquadraticcurveto"
+                         r"{\pgfqpoint{%fin}{%fin}}{\pgfqpoint{%fin}{%fin}}"
+                         % coords)
+            elif code == Path.CURVE4:
+                c1x, c1y, c2x, c2y, px, py = tuple(points)
+                coords = c1x * f, c1y * f, c2x * f, c2y * f, px * f, py * f
+                _writeln(self.fh,
+                         r"\pgfpathcurveto"
+                         r"{\pgfqpoint{%fin}{%fin}}"
+                         r"{\pgfqpoint{%fin}{%fin}}"
+                         r"{\pgfqpoint{%fin}{%fin}}"
+                         % coords)
+
+        # apply pgf decorators
+        sketch_params = gc.get_sketch_params() if gc else None
+        if sketch_params is not None:
+            # Only "length" directly maps to "segment length" in PGF's API.
+            # PGF uses "amplitude" to pass the combined deviation in both x-
+            # and y-direction, while matplotlib only varies the length of the
+            # wiggle along the line ("randomness" and "length" parameters)
+            # and has a separate "scale" argument for the amplitude.
+            # -> Use "randomness" as PRNG seed to allow the user to force the
+            # same shape on multiple sketched lines
+            scale, length, randomness = sketch_params
+            if scale is not None:
+                # make matplotlib and PGF rendering visually similar
+                length *= 0.5
+                scale *= 2
+                # PGF guarantees that repeated loading is a no-op
+                _writeln(self.fh, r"\usepgfmodule{decorations}")
+                _writeln(self.fh, r"\usepgflibrary{decorations.pathmorphing}")
+                _writeln(self.fh, r"\pgfkeys{/pgf/decoration/.cd, "
+                         f"segment length = {(length * f):f}in, "
+                         f"amplitude = {(scale * f):f}in}}")
+                _writeln(self.fh, f"\\pgfmathsetseed{{{int(randomness)}}}")
+                _writeln(self.fh, r"\pgfdecoratecurrentpath{random steps}")
+
+    def _pgf_path_draw(self, stroke=True, fill=False):
+        actions = []
+        if stroke:
+            actions.append("stroke")
+        if fill:
+            actions.append("fill")
+        _writeln(self.fh, r"\pgfusepath{%s}" % ",".join(actions))
+
+    def option_scale_image(self):
+        # docstring inherited
+        return True
+
+    def option_image_nocomposite(self):
+        # docstring inherited
+        return not mpl.rcParams['image.composite_image']
+
+    def draw_image(self, gc, x, y, im, transform=None):
+        # docstring inherited
+
+        h, w = im.shape[:2]
+        if w == 0 or h == 0:
+            return
+
+        if not os.path.exists(getattr(self.fh, "name", "")):
+            raise ValueError(
+                "streamed pgf-code does not support raster graphics, consider "
+                "using the pgf-to-pdf option")
+
+        # save the images to png files
+        path = pathlib.Path(self.fh.name)
+        fname_img = "%s-img%d.png" % (path.stem, self.image_counter)
+        Image.fromarray(im[::-1]).save(path.parent / fname_img)
+        self.image_counter += 1
+
+        # reference the image in the pgf picture
+        _writeln(self.fh, r"\begin{pgfscope}")
+        self._print_pgf_clip(gc)
+        f = 1. / self.dpi  # from display coords to inch
+        if transform is None:
+            _writeln(self.fh,
+                     r"\pgfsys@transformshift{%fin}{%fin}" % (x * f, y * f))
+            w, h = w * f, h * f
+        else:
+            tr1, tr2, tr3, tr4, tr5, tr6 = transform.frozen().to_values()
+            _writeln(self.fh,
+                     r"\pgfsys@transformcm{%f}{%f}{%f}{%f}{%fin}{%fin}" %
+                     (tr1 * f, tr2 * f, tr3 * f, tr4 * f,
+                      (tr5 + x) * f, (tr6 + y) * f))
+            w = h = 1  # scale is already included in the transform
+        interp = str(transform is None).lower()  # interpolation in PDF reader
+        _writeln(self.fh,
+                 r"\pgftext[left,bottom]"
+                 r"{%s[interpolate=%s,width=%fin,height=%fin]{%s}}" %
+                 (_get_image_inclusion_command(),
+                  interp, w, h, fname_img))
+        _writeln(self.fh, r"\end{pgfscope}")
+
+    def draw_tex(self, gc, x, y, s, prop, angle, *, mtext=None):
+        # docstring inherited
+        self.draw_text(gc, x, y, s, prop, angle, ismath="TeX", mtext=mtext)
+
+    def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
+        # docstring inherited
+
+        # prepare string for tex
+        s = _escape_and_apply_props(s, prop)
+
+        _writeln(self.fh, r"\begin{pgfscope}")
+        self._print_pgf_clip(gc)
+
+        alpha = gc.get_alpha()
+        if alpha != 1.0:
+            _writeln(self.fh, r"\pgfsetfillopacity{%f}" % alpha)
+            _writeln(self.fh, r"\pgfsetstrokeopacity{%f}" % alpha)
+        rgb = tuple(gc.get_rgb())[:3]
+        _writeln(self.fh, r"\definecolor{textcolor}{rgb}{%f,%f,%f}" % rgb)
+        _writeln(self.fh, r"\pgfsetstrokecolor{textcolor}")
+        _writeln(self.fh, r"\pgfsetfillcolor{textcolor}")
+        s = r"\color{textcolor}" + s
+
+        dpi = self.figure.dpi
+        text_args = []
+        if mtext and (
+                (angle == 0 or
+                 mtext.get_rotation_mode() == "anchor") and
+                mtext.get_verticalalignment() != "center_baseline"):
+            # if text anchoring can be supported, get the original coordinates
+            # and add alignment information
+            pos = mtext.get_unitless_position()
+            x, y = mtext.get_transform().transform(pos)
+            halign = {"left": "left", "right": "right", "center": ""}
+            valign = {"top": "top", "bottom": "bottom",
+                      "baseline": "base", "center": ""}
+            text_args.extend([
+                f"x={x/dpi:f}in",
+                f"y={y/dpi:f}in",
+                halign[mtext.get_horizontalalignment()],
+                valign[mtext.get_verticalalignment()],
+            ])
+        else:
+            # if not, use the text layout provided by Matplotlib.
+            text_args.append(f"x={x/dpi:f}in, y={y/dpi:f}in, left, base")
+
+        if angle != 0:
+            text_args.append("rotate=%f" % angle)
+
+        _writeln(self.fh, r"\pgftext[%s]{%s}" % (",".join(text_args), s))
+        _writeln(self.fh, r"\end{pgfscope}")
+
+    def get_text_width_height_descent(self, s, prop, ismath):
+        # docstring inherited
+        # get text metrics in units of latex pt, convert to display units
+        w, h, d = (LatexManager._get_cached_or_new()
+                   .get_width_height_descent(s, prop))
+        # TODO: this should be latex_pt_to_in instead of mpl_pt_to_in
+        # but having a little bit more space around the text looks better,
+        # plus the bounding box reported by LaTeX is VERY narrow
+        f = mpl_pt_to_in * self.dpi
+        return w * f, h * f, d * f
+
+    def flipy(self):
+        # docstring inherited
+        return False
+
+    def get_canvas_width_height(self):
+        # docstring inherited
+        return (self.figure.get_figwidth() * self.dpi,
+                self.figure.get_figheight() * self.dpi)
+
+    def points_to_pixels(self, points):
+        # docstring inherited
+        return points * mpl_pt_to_in * self.dpi
+
+
+class FigureCanvasPgf(FigureCanvasBase):
+    filetypes = {"pgf": "LaTeX PGF picture",
+                 "pdf": "LaTeX compiled PGF picture",
+                 "png": "Portable Network Graphics", }
+
+    def get_default_filetype(self):
+        return 'pdf'
+
+    def _print_pgf_to_fh(self, fh, *, bbox_inches_restore=None):
+
+        header_text = """%% Creator: Matplotlib, PGF backend
+%%
+%% To include the figure in your LaTeX document, write
+%%   \\input{<filename>.pgf}
+%%
+%% Make sure the required packages are loaded in your preamble
+%%   \\usepackage{pgf}
+%%
+%% Also ensure that all the required font packages are loaded; for instance,
+%% the lmodern package is sometimes necessary when using math font.
+%%   \\usepackage{lmodern}
+%%
+%% Figures using additional raster images can only be included by \\input if
+%% they are in the same directory as the main LaTeX file. For loading figures
+%% from other directories you can use the `import` package
+%%   \\usepackage{import}
+%%
+%% and then include the figures with
+%%   \\import{<path to file>}{<filename>.pgf}
+%%
+"""
+
+        # append the preamble used by the backend as a comment for debugging
+        header_info_preamble = ["%% Matplotlib used the following preamble"]
+        for line in _get_preamble().splitlines():
+            header_info_preamble.append("%%   " + line)
+        header_info_preamble.append("%%")
+        header_info_preamble = "\n".join(header_info_preamble)
+
+        # get figure size in inch
+        w, h = self.figure.get_figwidth(), self.figure.get_figheight()
+        dpi = self.figure.dpi
+
+        # create pgfpicture environment and write the pgf code
+        fh.write(header_text)
+        fh.write(header_info_preamble)
+        fh.write("\n")
+        _writeln(fh, r"\begingroup")
+        _writeln(fh, r"\makeatletter")
+        _writeln(fh, r"\begin{pgfpicture}")
+        _writeln(fh,
+                 r"\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{%fin}{%fin}}"
+                 % (w, h))
+        _writeln(fh, r"\pgfusepath{use as bounding box, clip}")
+        renderer = MixedModeRenderer(self.figure, w, h, dpi,
+                                     RendererPgf(self.figure, fh),
+                                     bbox_inches_restore=bbox_inches_restore)
+        self.figure.draw(renderer)
+
+        # end the pgfpicture environment
+        _writeln(fh, r"\end{pgfpicture}")
+        _writeln(fh, r"\makeatother")
+        _writeln(fh, r"\endgroup")
+
+    def print_pgf(self, fname_or_fh, **kwargs):
+        """
+        Output pgf macros for drawing the figure so it can be included and
+        rendered in latex documents.
+        """
+        with cbook.open_file_cm(fname_or_fh, "w", encoding="utf-8") as file:
+            if not cbook.file_requires_unicode(file):
+                file = codecs.getwriter("utf-8")(file)
+            self._print_pgf_to_fh(file, **kwargs)
+
+    def print_pdf(self, fname_or_fh, *, metadata=None, **kwargs):
+        """Use LaTeX to compile a pgf generated figure to pdf."""
+        w, h = self.figure.get_size_inches()
+
+        info_dict = _create_pdf_info_dict('pgf', metadata or {})
+        pdfinfo = ','.join(
+            _metadata_to_str(k, v) for k, v in info_dict.items())
+
+        # print figure to pgf and compile it with latex
+        with TemporaryDirectory() as tmpdir:
+            tmppath = pathlib.Path(tmpdir)
+            self.print_pgf(tmppath / "figure.pgf", **kwargs)
+            (tmppath / "figure.tex").write_text(
+                "\n".join([
+                    _DOCUMENTCLASS,
+                    r"\usepackage[pdfinfo={%s}]{hyperref}" % pdfinfo,
+                    r"\usepackage[papersize={%fin,%fin}, margin=0in]{geometry}"
+                    % (w, h),
+                    r"\usepackage{pgf}",
+                    _get_preamble(),
+                    r"\begin{document}",
+                    r"\centering",
+                    r"\input{figure.pgf}",
+                    r"\end{document}",
+                ]), encoding="utf-8")
+            texcommand = mpl.rcParams["pgf.texsystem"]
+            cbook._check_and_log_subprocess(
+                [texcommand, "-interaction=nonstopmode", "-halt-on-error",
+                 "figure.tex"], _log, cwd=tmpdir)
+            with ((tmppath / "figure.pdf").open("rb") as orig,
+                  cbook.open_file_cm(fname_or_fh, "wb") as dest):
+                shutil.copyfileobj(orig, dest)  # copy file contents to target
+
+    def print_png(self, fname_or_fh, **kwargs):
+        """Use LaTeX to compile a pgf figure to pdf and convert it to png."""
+        converter = make_pdf_to_png_converter()
+        with TemporaryDirectory() as tmpdir:
+            tmppath = pathlib.Path(tmpdir)
+            pdf_path = tmppath / "figure.pdf"
+            png_path = tmppath / "figure.png"
+            self.print_pdf(pdf_path, **kwargs)
+            converter(pdf_path, png_path, dpi=self.figure.dpi)
+            with (png_path.open("rb") as orig,
+                  cbook.open_file_cm(fname_or_fh, "wb") as dest):
+                shutil.copyfileobj(orig, dest)  # copy file contents to target
+
+    def get_renderer(self):
+        return RendererPgf(self.figure, None)
+
+    def draw(self):
+        self.figure.draw_without_rendering()
+        return super().draw()
+
+
+FigureManagerPgf = FigureManagerBase
+
+
+@_Backend.export
+class _BackendPgf(_Backend):
+    FigureCanvas = FigureCanvasPgf
+
+
+class PdfPages:
+    """
+    A multi-page PDF file using the pgf backend
+
+    Examples
+    --------
+    >>> import matplotlib.pyplot as plt
+    >>> # Initialize:
+    >>> with PdfPages('foo.pdf') as pdf:
+    ...     # As many times as you like, create a figure fig and save it:
+    ...     fig = plt.figure()
+    ...     pdf.savefig(fig)
+    ...     # When no figure is specified the current figure is saved
+    ...     pdf.savefig()
+    """
+
+    def __init__(self, filename, *, metadata=None):
+        """
+        Create a new PdfPages object.
+
+        Parameters
+        ----------
+        filename : str or path-like
+            Plots using `PdfPages.savefig` will be written to a file at this
+            location. Any older file with the same name is overwritten.
+
+        metadata : dict, optional
+            Information dictionary object (see PDF reference section 10.2.1
+            'Document Information Dictionary'), e.g.:
+            ``{'Creator': 'My software', 'Author': 'Me', 'Title': 'Awesome'}``.
+
+            The standard keys are 'Title', 'Author', 'Subject', 'Keywords',
+            'Creator', 'Producer', 'CreationDate', 'ModDate', and
+            'Trapped'. Values have been predefined for 'Creator', 'Producer'
+            and 'CreationDate'. They can be removed by setting them to `None`.
+
+            Note that some versions of LaTeX engines may ignore the 'Producer'
+            key and set it to themselves.
+        """
+        self._output_name = filename
+        self._n_figures = 0
+        self._metadata = (metadata or {}).copy()
+        self._info_dict = _create_pdf_info_dict('pgf', self._metadata)
+        self._file = BytesIO()
+
+    def _write_header(self, width_inches, height_inches):
+        pdfinfo = ','.join(
+            _metadata_to_str(k, v) for k, v in self._info_dict.items())
+        latex_header = "\n".join([
+            _DOCUMENTCLASS,
+            r"\usepackage[pdfinfo={%s}]{hyperref}" % pdfinfo,
+            r"\usepackage[papersize={%fin,%fin}, margin=0in]{geometry}"
+            % (width_inches, height_inches),
+            r"\usepackage{pgf}",
+            _get_preamble(),
+            r"\setlength{\parindent}{0pt}",
+            r"\begin{document}%",
+        ])
+        self._file.write(latex_header.encode('utf-8'))
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.close()
+
+    def close(self):
+        """
+        Finalize this object, running LaTeX in a temporary directory
+        and moving the final pdf file to *filename*.
+        """
+        self._file.write(rb'\end{document}\n')
+        if self._n_figures > 0:
+            self._run_latex()
+        self._file.close()
+
+    def _run_latex(self):
+        texcommand = mpl.rcParams["pgf.texsystem"]
+        with TemporaryDirectory() as tmpdir:
+            tex_source = pathlib.Path(tmpdir, "pdf_pages.tex")
+            tex_source.write_bytes(self._file.getvalue())
+            cbook._check_and_log_subprocess(
+                [texcommand, "-interaction=nonstopmode", "-halt-on-error",
+                 tex_source],
+                _log, cwd=tmpdir)
+            shutil.move(tex_source.with_suffix(".pdf"), self._output_name)
+
+    def savefig(self, figure=None, **kwargs):
+        """
+        Save a `.Figure` to this file as a new page.
+
+        Any other keyword arguments are passed to `~.Figure.savefig`.
+
+        Parameters
+        ----------
+        figure : `.Figure` or int, default: the active figure
+            The figure, or index of the figure, that is saved to the file.
+        """
+        if not isinstance(figure, Figure):
+            if figure is None:
+                manager = Gcf.get_active()
+            else:
+                manager = Gcf.get_fig_manager(figure)
+            if manager is None:
+                raise ValueError(f"No figure {figure}")
+            figure = manager.canvas.figure
+
+        width, height = figure.get_size_inches()
+        if self._n_figures == 0:
+            self._write_header(width, height)
+        else:
+            # \pdfpagewidth and \pdfpageheight exist on pdftex, xetex, and
+            # luatex<0.85; they were renamed to \pagewidth and \pageheight
+            # on luatex>=0.85.
+            self._file.write(
+                rb'\newpage'
+                rb'\ifdefined\pdfpagewidth\pdfpagewidth\else\pagewidth\fi=%fin'
+                rb'\ifdefined\pdfpageheight\pdfpageheight\else\pageheight\fi=%fin'
+                b'%%\n' % (width, height)
+            )
+        figure.savefig(self._file, format="pgf", backend="pgf", **kwargs)
+        self._n_figures += 1
+
+    def get_pagecount(self):
+        """Return the current number of pages in the multipage pdf file."""
+        return self._n_figures

llava_video/lib/python3.10/site-packages/matplotlib/backends/backend_qtcairo.py

@@ -0,0 +1,46 @@
+import ctypes
+
+from .backend_cairo import cairo, FigureCanvasCairo
+from .backend_qt import _BackendQT, FigureCanvasQT
+from .qt_compat import QT_API, QtCore, QtGui
+
+
+class FigureCanvasQTCairo(FigureCanvasCairo, FigureCanvasQT):
+    def draw(self):
+        if hasattr(self._renderer.gc, "ctx"):
+            self._renderer.dpi = self.figure.dpi
+            self.figure.draw(self._renderer)
+        super().draw()
+
+    def paintEvent(self, event):
+        width = int(self.device_pixel_ratio * self.width())
+        height = int(self.device_pixel_ratio * self.height())
+        if (width, height) != self._renderer.get_canvas_width_height():
+            surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
+            self._renderer.set_context(cairo.Context(surface))
+            self._renderer.dpi = self.figure.dpi
+            self.figure.draw(self._renderer)
+        buf = self._renderer.gc.ctx.get_target().get_data()
+        if QT_API == "PyQt6":
+            from PyQt6 import sip
+            ptr = int(sip.voidptr(buf))
+        else:
+            ptr = buf
+        qimage = QtGui.QImage(
+            ptr, width, height,
+            QtGui.QImage.Format.Format_ARGB32_Premultiplied)
+        # Adjust the buf reference count to work around a memory leak bug in
+        # QImage under PySide.
+        if QT_API == "PySide2" and QtCore.__version_info__ < (5, 12):
+            ctypes.c_long.from_address(id(buf)).value = 1
+        qimage.setDevicePixelRatio(self.device_pixel_ratio)
+        painter = QtGui.QPainter(self)
+        painter.eraseRect(event.rect())
+        painter.drawImage(0, 0, qimage)
+        self._draw_rect_callback(painter)
+        painter.end()
+
+
+@_BackendQT.export
+class _BackendQTCairo(_BackendQT):
+    FigureCanvas = FigureCanvasQTCairo

llava_video/lib/python3.10/site-packages/matplotlib/backends/backend_tkagg.py

@@ -0,0 +1,20 @@
+from . import _backend_tk
+from .backend_agg import FigureCanvasAgg
+from ._backend_tk import _BackendTk, FigureCanvasTk
+from ._backend_tk import (  # noqa: F401 # pylint: disable=W0611
+    FigureManagerTk, NavigationToolbar2Tk)
+
+
+class FigureCanvasTkAgg(FigureCanvasAgg, FigureCanvasTk):
+    def draw(self):
+        super().draw()
+        self.blit()
+
+    def blit(self, bbox=None):
+        _backend_tk.blit(self._tkphoto, self.renderer.buffer_rgba(),
+                         (0, 1, 2, 3), bbox=bbox)
+
+
+@_BackendTk.export
+class _BackendTkAgg(_BackendTk):
+    FigureCanvas = FigureCanvasTkAgg

llava_video/lib/python3.10/site-packages/matplotlib/backends/backend_wxcairo.py

@@ -0,0 +1,23 @@
+import wx.lib.wxcairo as wxcairo
+
+from .backend_cairo import cairo, FigureCanvasCairo
+from .backend_wx import _BackendWx, _FigureCanvasWxBase
+from .backend_wx import (  # noqa: F401 # pylint: disable=W0611
+    NavigationToolbar2Wx as NavigationToolbar2WxCairo)
+
+
+class FigureCanvasWxCairo(FigureCanvasCairo, _FigureCanvasWxBase):
+    def draw(self, drawDC=None):
+        size = self.figure.bbox.size.astype(int)
+        surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, *size)
+        self._renderer.set_context(cairo.Context(surface))
+        self._renderer.dpi = self.figure.dpi
+        self.figure.draw(self._renderer)
+        self.bitmap = wxcairo.BitmapFromImageSurface(surface)
+        self._isDrawn = True
+        self.gui_repaint(drawDC=drawDC)
+
+
+@_BackendWx.export
+class _BackendWxCairo(_BackendWx):
+    FigureCanvas = FigureCanvasWxCairo

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/all_figures.html

@@ -0,0 +1,52 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/page.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/mpl.css" type="text/css">
+    <script src="{{ prefix }}/_static/js/mpl_tornado.js"></script>
+    <script src="{{ prefix }}/js/mpl.js"></script>
+
+    <script>
+      function ready(fn) {
+        if (document.readyState != "loading") {
+          fn();
+        } else {
+          document.addEventListener("DOMContentLoaded", fn);
+        }
+      }
+
+      function figure_ready(fig_id) {
+        return function () {
+          var main_div = document.querySelector("div#figures");
+          var figure_div = document.createElement("div");
+          figure_div.id = "figure-div";
+          main_div.appendChild(figure_div);
+          var websocket_type = mpl.get_websocket_type();
+          var uri = "{{ ws_uri }}" + fig_id + "/ws";
+          if (window.location.protocol === "https:") uri = uri.replace('ws:', 'wss:')
+          var websocket = new websocket_type(uri);
+          var fig = new mpl.figure(fig_id, websocket, mpl_ondownload, figure_div);
+
+          fig.focus_on_mouseover = true;
+
+          fig.canvas.setAttribute("tabindex", fig_id);
+        }
+      };
+
+      {% for (fig_id, fig_manager) in figures %}
+        ready(figure_ready({{ str(fig_id) }}));
+      {% end %}
+    </script>
+
+  <title>MPL | WebAgg current figures</title>
+
+  </head>
+  <body>
+    <div id="mpl-warnings" class="mpl-warnings"></div>
+
+    <div id="figures" style="margin: 10px 10px;"></div>
+
+  </body>
+</html>

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/css/boilerplate.css

@@ -0,0 +1,77 @@
+/**
+ * HTML5 ✰ Boilerplate
+ *
+ * style.css contains a reset, font normalization and some base styles.
+ *
+ * Credit is left where credit is due.
+ * Much inspiration was taken from these projects:
+ * - yui.yahooapis.com/2.8.1/build/base/base.css
+ * - camendesign.com/design/
+ * - praegnanz.de/weblog/htmlcssjs-kickstart
+ */
+
+
+/**
+ * html5doctor.com Reset Stylesheet (Eric Meyer's Reset Reloaded + HTML5 baseline)
+ * v1.6.1 2010-09-17 | Authors: Eric Meyer & Richard Clark
+ * html5doctor.com/html-5-reset-stylesheet/
+ */
+
+html, body, div, span, object, iframe,
+h1, h2, h3, h4, h5, h6, p, blockquote, pre,
+abbr, address, cite, code, del, dfn, em, img, ins, kbd, q, samp,
+small, strong, sub, sup, var, b, i, dl, dt, dd, ol, ul, li,
+fieldset, form, label, legend,
+table, caption, tbody, tfoot, thead, tr, th, td,
+article, aside, canvas, details, figcaption, figure,
+footer, header, hgroup, menu, nav, section, summary,
+time, mark, audio, video {
+  margin: 0;
+  padding: 0;
+  border: 0;
+  font-size: 100%;
+  font: inherit;
+  vertical-align: baseline;
+}
+
+sup { vertical-align: super; }
+sub { vertical-align: sub; }
+
+article, aside, details, figcaption, figure,
+footer, header, hgroup, menu, nav, section {
+  display: block;
+}
+
+blockquote, q { quotes: none; }
+
+blockquote:before, blockquote:after,
+q:before, q:after { content: ""; content: none; }
+
+ins { background-color: #ff9; color: #000; text-decoration: none; }
+
+mark { background-color: #ff9; color: #000; font-style: italic; font-weight: bold; }
+
+del { text-decoration: line-through; }
+
+abbr[title], dfn[title] { border-bottom: 1px dotted; cursor: help; }
+
+table { border-collapse: collapse; border-spacing: 0; }
+
+hr { display: block; height: 1px; border: 0; border-top: 1px solid #ccc; margin: 1em 0; padding: 0; }
+
+input, select { vertical-align: middle; }
+
+
+/**
+ * Font normalization inspired by YUI Library's fonts.css: developer.yahoo.com/yui/
+ */
+
+body { font:13px/1.231 sans-serif; *font-size:small; } /* Hack retained to preserve specificity */
+select, input, textarea, button { font:99% sans-serif; }
+
+/* Normalize monospace sizing:
+   en.wikipedia.org/wiki/MediaWiki_talk:Common.css/Archive_11#Teletype_style_fix_for_Chrome */
+pre, code, kbd, samp { font-family: monospace, sans-serif; }
+
+em,i { font-style: italic; }
+b,strong { font-weight: bold; }

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/css/fbm.css

@@ -0,0 +1,97 @@
+
+/* Flexible box model classes */
+/* Taken from Alex Russell https://infrequently.org/2009/08/css-3-progress/ */
+
+.hbox {
+	display: -webkit-box;
+	-webkit-box-orient: horizontal;
+	-webkit-box-align: stretch;
+
+	display: -moz-box;
+	-moz-box-orient: horizontal;
+	-moz-box-align: stretch;
+
+	display: box;
+	box-orient: horizontal;
+	box-align: stretch;
+}
+
+.hbox > * {
+	-webkit-box-flex: 0;
+	-moz-box-flex: 0;
+	box-flex: 0;
+}
+
+.vbox {
+	display: -webkit-box;
+	-webkit-box-orient: vertical;
+	-webkit-box-align: stretch;
+
+	display: -moz-box;
+	-moz-box-orient: vertical;
+	-moz-box-align: stretch;
+
+	display: box;
+	box-orient: vertical;
+	box-align: stretch;
+}
+
+.vbox > * {
+	-webkit-box-flex: 0;
+	-moz-box-flex: 0;
+	box-flex: 0;
+}
+
+.reverse {
+	-webkit-box-direction: reverse;
+	-moz-box-direction: reverse;
+	box-direction: reverse;
+}
+
+.box-flex0 {
+	-webkit-box-flex: 0;
+	-moz-box-flex: 0;
+	box-flex: 0;
+}
+
+.box-flex1, .box-flex {
+	-webkit-box-flex: 1;
+	-moz-box-flex: 1;
+	box-flex: 1;
+}
+
+.box-flex2 {
+	-webkit-box-flex: 2;
+	-moz-box-flex: 2;
+	box-flex: 2;
+}
+
+.box-group1 {
+	-webkit-box-flex-group: 1;
+	-moz-box-flex-group: 1;
+	box-flex-group: 1;
+}
+
+.box-group2 {
+	-webkit-box-flex-group: 2;
+	-moz-box-flex-group: 2;
+	box-flex-group: 2;
+}
+
+.start {
+	-webkit-box-pack: start;
+	-moz-box-pack: start;
+	box-pack: start;
+}
+
+.end {
+	-webkit-box-pack: end;
+	-moz-box-pack: end;
+	box-pack: end;
+}
+
+.center {
+	-webkit-box-pack: center;
+	-moz-box-pack: center;
+	box-pack: center;
+}

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/css/mpl.css

@@ -0,0 +1,84 @@
+/* General styling */
+.ui-helper-clearfix:before,
+.ui-helper-clearfix:after {
+  content: "";
+  display: table;
+  border-collapse: collapse;
+}
+.ui-helper-clearfix:after {
+  clear: both;
+}
+
+/* Header */
+.ui-widget-header {
+  border: 1px solid #dddddd;
+  border-top-left-radius: 6px;
+  border-top-right-radius: 6px;
+  background: #e9e9e9;
+  color: #333333;
+  font-weight: bold;
+}
+
+/* Toolbar and items */
+.mpl-toolbar {
+  width: 100%;
+}
+
+.mpl-toolbar div.mpl-button-group {
+  display: inline-block;
+}
+
+.mpl-button-group + .mpl-button-group {
+  margin-left: 0.5em;
+}
+
+.mpl-widget {
+  background-color: #fff;
+  border: 1px solid #ccc;
+  display: inline-block;
+  cursor: pointer;
+  color: #333;
+  padding: 6px;
+  vertical-align: middle;
+}
+
+.mpl-widget:disabled,
+.mpl-widget[disabled] {
+  background-color: #ddd;
+  border-color: #ddd !important;
+  cursor: not-allowed;
+}
+
+.mpl-widget:disabled img,
+.mpl-widget[disabled] img {
+  /* Convert black to grey */
+  filter: contrast(0%);
+}
+
+.mpl-widget.active img {
+  /* Convert black to tab:blue, approximately */
+  filter: invert(34%) sepia(97%) saturate(468%) hue-rotate(162deg) brightness(96%) contrast(91%);
+}
+
+button.mpl-widget:focus,
+button.mpl-widget:hover {
+  background-color: #ddd;
+  border-color: #aaa;
+}
+
+.mpl-button-group button.mpl-widget {
+  margin-left: -1px;
+}
+.mpl-button-group button.mpl-widget:first-child {
+  border-top-left-radius: 6px;
+  border-bottom-left-radius: 6px;
+  margin-left: 0px;
+}
+.mpl-button-group button.mpl-widget:last-child {
+  border-top-right-radius: 6px;
+  border-bottom-right-radius: 6px;
+}
+
+select.mpl-widget {
+  cursor: default;
+}

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/ipython_inline_figure.html

@@ -0,0 +1,34 @@
+<!-- Within the kernel, we don't know the address of the matplotlib
+     websocket server, so we have to get in client-side and fetch our
+     resources that way. -->
+<script>
+  // We can't proceed until these JavaScript files are fetched, so
+  // we fetch them synchronously
+  $.ajaxSetup({async: false});
+  $.getScript("http://" + window.location.hostname + ":{{ port }}{{prefix}}/_static/js/mpl_tornado.js");
+  $.getScript("http://" + window.location.hostname + ":{{ port }}{{prefix}}/js/mpl.js");
+  $.ajaxSetup({async: true});
+
+  function init_figure{{ fig_id }}(e) {
+    $('div.output').off('resize');
+
+    var output_div = e.target.querySelector('div.output_subarea');
+    var websocket_type = mpl.get_websocket_type();
+    var websocket = new websocket_type(
+        "ws://" + window.location.hostname + ":{{ port }}{{ prefix}}/" +
+        {{ repr(str(fig_id)) }} + "/ws");
+
+    var fig = new mpl.figure(
+        {{repr(str(fig_id))}}, websocket, mpl_ondownload, output_div);
+
+    // Fetch the first image
+    fig.context.drawImage(fig.imageObj, 0, 0);
+
+    fig.focus_on_mouseover = true;
+  }
+
+  // We can't initialize the figure contents until our content
+  // has been added to the DOM.  This is a bit of hack to get an
+  // event for that.
+  $('div.output').resize(init_figure{{ fig_id }});
+</script>

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/js/mpl.js

@@ -0,0 +1,705 @@
+/* Put everything inside the global mpl namespace */
+/* global mpl */
+window.mpl = {};
+
+mpl.get_websocket_type = function () {
+    if (typeof WebSocket !== 'undefined') {
+        return WebSocket;
+    } else if (typeof MozWebSocket !== 'undefined') {
+        return MozWebSocket;
+    } else {
+        alert(
+            'Your browser does not have WebSocket support. ' +
+                'Please try Chrome, Safari or Firefox ≥ 6. ' +
+                'Firefox 4 and 5 are also supported but you ' +
+                'have to enable WebSockets in about:config.'
+        );
+    }
+};
+
+mpl.figure = function (figure_id, websocket, ondownload, parent_element) {
+    this.id = figure_id;
+
+    this.ws = websocket;
+
+    this.supports_binary = this.ws.binaryType !== undefined;
+
+    if (!this.supports_binary) {
+        var warnings = document.getElementById('mpl-warnings');
+        if (warnings) {
+            warnings.style.display = 'block';
+            warnings.textContent =
+                'This browser does not support binary websocket messages. ' +
+                'Performance may be slow.';
+        }
+    }
+
+    this.imageObj = new Image();
+
+    this.context = undefined;
+    this.message = undefined;
+    this.canvas = undefined;
+    this.rubberband_canvas = undefined;
+    this.rubberband_context = undefined;
+    this.format_dropdown = undefined;
+
+    this.image_mode = 'full';
+
+    this.root = document.createElement('div');
+    this.root.setAttribute('style', 'display: inline-block');
+    this._root_extra_style(this.root);
+
+    parent_element.appendChild(this.root);
+
+    this._init_header(this);
+    this._init_canvas(this);
+    this._init_toolbar(this);
+
+    var fig = this;
+
+    this.waiting = false;
+
+    this.ws.onopen = function () {
+        fig.send_message('supports_binary', { value: fig.supports_binary });
+        fig.send_message('send_image_mode', {});
+        if (fig.ratio !== 1) {
+            fig.send_message('set_device_pixel_ratio', {
+                device_pixel_ratio: fig.ratio,
+            });
+        }
+        fig.send_message('refresh', {});
+    };
+
+    this.imageObj.onload = function () {
+        if (fig.image_mode === 'full') {
+            // Full images could contain transparency (where diff images
+            // almost always do), so we need to clear the canvas so that
+            // there is no ghosting.
+            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);
+        }
+        fig.context.drawImage(fig.imageObj, 0, 0);
+    };
+
+    this.imageObj.onunload = function () {
+        fig.ws.close();
+    };
+
+    this.ws.onmessage = this._make_on_message_function(this);
+
+    this.ondownload = ondownload;
+};
+
+mpl.figure.prototype._init_header = function () {
+    var titlebar = document.createElement('div');
+    titlebar.classList =
+        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';
+    var titletext = document.createElement('div');
+    titletext.classList = 'ui-dialog-title';
+    titletext.setAttribute(
+        'style',
+        'width: 100%; text-align: center; padding: 3px;'
+    );
+    titlebar.appendChild(titletext);
+    this.root.appendChild(titlebar);
+    this.header = titletext;
+};
+
+mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};
+
+mpl.figure.prototype._root_extra_style = function (_canvas_div) {};
+
+mpl.figure.prototype._init_canvas = function () {
+    var fig = this;
+
+    var canvas_div = (this.canvas_div = document.createElement('div'));
+    canvas_div.setAttribute('tabindex', '0');
+    canvas_div.setAttribute(
+        'style',
+        'border: 1px solid #ddd;' +
+            'box-sizing: content-box;' +
+            'clear: both;' +
+            'min-height: 1px;' +
+            'min-width: 1px;' +
+            'outline: 0;' +
+            'overflow: hidden;' +
+            'position: relative;' +
+            'resize: both;' +
+            'z-index: 2;'
+    );
+
+    function on_keyboard_event_closure(name) {
+        return function (event) {
+            return fig.key_event(event, name);
+        };
+    }
+
+    canvas_div.addEventListener(
+        'keydown',
+        on_keyboard_event_closure('key_press')
+    );
+    canvas_div.addEventListener(
+        'keyup',
+        on_keyboard_event_closure('key_release')
+    );
+
+    this._canvas_extra_style(canvas_div);
+    this.root.appendChild(canvas_div);
+
+    var canvas = (this.canvas = document.createElement('canvas'));
+    canvas.classList.add('mpl-canvas');
+    canvas.setAttribute(
+        'style',
+        'box-sizing: content-box;' +
+            'pointer-events: none;' +
+            'position: relative;' +
+            'z-index: 0;'
+    );
+
+    this.context = canvas.getContext('2d');
+
+    var backingStore =
+        this.context.backingStorePixelRatio ||
+        this.context.webkitBackingStorePixelRatio ||
+        this.context.mozBackingStorePixelRatio ||
+        this.context.msBackingStorePixelRatio ||
+        this.context.oBackingStorePixelRatio ||
+        this.context.backingStorePixelRatio ||
+        1;
+
+    this.ratio = (window.devicePixelRatio || 1) / backingStore;
+
+    var rubberband_canvas = (this.rubberband_canvas = document.createElement(
+        'canvas'
+    ));
+    rubberband_canvas.setAttribute(
+        'style',
+        'box-sizing: content-box;' +
+            'left: 0;' +
+            'pointer-events: none;' +
+            'position: absolute;' +
+            'top: 0;' +
+            'z-index: 1;'
+    );
+
+    // Apply a ponyfill if ResizeObserver is not implemented by browser.
+    if (this.ResizeObserver === undefined) {
+        if (window.ResizeObserver !== undefined) {
+            this.ResizeObserver = window.ResizeObserver;
+        } else {
+            var obs = _JSXTOOLS_RESIZE_OBSERVER({});
+            this.ResizeObserver = obs.ResizeObserver;
+        }
+    }
+
+    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {
+        // There's no need to resize if the WebSocket is not connected:
+        // - If it is still connecting, then we will get an initial resize from
+        //   Python once it connects.
+        // - If it has disconnected, then resizing will clear the canvas and
+        //   never get anything back to refill it, so better to not resize and
+        //   keep something visible.
+        if (fig.ws.readyState != 1) {
+            return;
+        }
+        var nentries = entries.length;
+        for (var i = 0; i < nentries; i++) {
+            var entry = entries[i];
+            var width, height;
+            if (entry.contentBoxSize) {
+                if (entry.contentBoxSize instanceof Array) {
+                    // Chrome 84 implements new version of spec.
+                    width = entry.contentBoxSize[0].inlineSize;
+                    height = entry.contentBoxSize[0].blockSize;
+                } else {
+                    // Firefox implements old version of spec.
+                    width = entry.contentBoxSize.inlineSize;
+                    height = entry.contentBoxSize.blockSize;
+                }
+            } else {
+                // Chrome <84 implements even older version of spec.
+                width = entry.contentRect.width;
+                height = entry.contentRect.height;
+            }
+
+            // Keep the size of the canvas and rubber band canvas in sync with
+            // the canvas container.
+            if (entry.devicePixelContentBoxSize) {
+                // Chrome 84 implements new version of spec.
+                canvas.setAttribute(
+                    'width',
+                    entry.devicePixelContentBoxSize[0].inlineSize
+                );
+                canvas.setAttribute(
+                    'height',
+                    entry.devicePixelContentBoxSize[0].blockSize
+                );
+            } else {
+                canvas.setAttribute('width', width * fig.ratio);
+                canvas.setAttribute('height', height * fig.ratio);
+            }
+            /* This rescales the canvas back to display pixels, so that it
+             * appears correct on HiDPI screens. */
+            canvas.style.width = width + 'px';
+            canvas.style.height = height + 'px';
+
+            rubberband_canvas.setAttribute('width', width);
+            rubberband_canvas.setAttribute('height', height);
+
+            // And update the size in Python. We ignore the initial 0/0 size
+            // that occurs as the element is placed into the DOM, which should
+            // otherwise not happen due to the minimum size styling.
+            if (width != 0 && height != 0) {
+                fig.request_resize(width, height);
+            }
+        }
+    });
+    this.resizeObserverInstance.observe(canvas_div);
+
+    function on_mouse_event_closure(name) {
+        /* User Agent sniffing is bad, but WebKit is busted:
+         * https://bugs.webkit.org/show_bug.cgi?id=144526
+         * https://bugs.webkit.org/show_bug.cgi?id=181818
+         * The worst that happens here is that they get an extra browser
+         * selection when dragging, if this check fails to catch them.
+         */
+        var UA = navigator.userAgent;
+        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);
+        if(isWebKit) {
+            return function (event) {
+                /* This prevents the web browser from automatically changing to
+                 * the text insertion cursor when the button is pressed. We
+                 * want to control all of the cursor setting manually through
+                 * the 'cursor' event from matplotlib */
+                event.preventDefault()
+                return fig.mouse_event(event, name);
+            };
+        } else {
+            return function (event) {
+                return fig.mouse_event(event, name);
+            };
+        }
+    }
+
+    canvas_div.addEventListener(
+        'mousedown',
+        on_mouse_event_closure('button_press')
+    );
+    canvas_div.addEventListener(
+        'mouseup',
+        on_mouse_event_closure('button_release')
+    );
+    canvas_div.addEventListener(
+        'dblclick',
+        on_mouse_event_closure('dblclick')
+    );
+    // Throttle sequential mouse events to 1 every 20ms.
+    canvas_div.addEventListener(
+        'mousemove',
+        on_mouse_event_closure('motion_notify')
+    );
+
+    canvas_div.addEventListener(
+        'mouseenter',
+        on_mouse_event_closure('figure_enter')
+    );
+    canvas_div.addEventListener(
+        'mouseleave',
+        on_mouse_event_closure('figure_leave')
+    );
+
+    canvas_div.addEventListener('wheel', function (event) {
+        if (event.deltaY < 0) {
+            event.step = 1;
+        } else {
+            event.step = -1;
+        }
+        on_mouse_event_closure('scroll')(event);
+    });
+
+    canvas_div.appendChild(canvas);
+    canvas_div.appendChild(rubberband_canvas);
+
+    this.rubberband_context = rubberband_canvas.getContext('2d');
+    this.rubberband_context.strokeStyle = '#000000';
+
+    this._resize_canvas = function (width, height, forward) {
+        if (forward) {
+            canvas_div.style.width = width + 'px';
+            canvas_div.style.height = height + 'px';
+        }
+    };
+
+    // Disable right mouse context menu.
+    canvas_div.addEventListener('contextmenu', function (_e) {
+        event.preventDefault();
+        return false;
+    });
+
+    function set_focus() {
+        canvas.focus();
+        canvas_div.focus();
+    }
+
+    window.setTimeout(set_focus, 100);
+};
+
+mpl.figure.prototype._init_toolbar = function () {
+    var fig = this;
+
+    var toolbar = document.createElement('div');
+    toolbar.classList = 'mpl-toolbar';
+    this.root.appendChild(toolbar);
+
+    function on_click_closure(name) {
+        return function (_event) {
+            return fig.toolbar_button_onclick(name);
+        };
+    }
+
+    function on_mouseover_closure(tooltip) {
+        return function (event) {
+            if (!event.currentTarget.disabled) {
+                return fig.toolbar_button_onmouseover(tooltip);
+            }
+        };
+    }
+
+    fig.buttons = {};
+    var buttonGroup = document.createElement('div');
+    buttonGroup.classList = 'mpl-button-group';
+    for (var toolbar_ind in mpl.toolbar_items) {
+        var name = mpl.toolbar_items[toolbar_ind][0];
+        var tooltip = mpl.toolbar_items[toolbar_ind][1];
+        var image = mpl.toolbar_items[toolbar_ind][2];
+        var method_name = mpl.toolbar_items[toolbar_ind][3];
+
+        if (!name) {
+            /* Instead of a spacer, we start a new button group. */
+            if (buttonGroup.hasChildNodes()) {
+                toolbar.appendChild(buttonGroup);
+            }
+            buttonGroup = document.createElement('div');
+            buttonGroup.classList = 'mpl-button-group';
+            continue;
+        }
+
+        var button = (fig.buttons[name] = document.createElement('button'));
+        button.classList = 'mpl-widget';
+        button.setAttribute('role', 'button');
+        button.setAttribute('aria-disabled', 'false');
+        button.addEventListener('click', on_click_closure(method_name));
+        button.addEventListener('mouseover', on_mouseover_closure(tooltip));
+
+        var icon_img = document.createElement('img');
+        icon_img.src = '_images/' + image + '.png';
+        icon_img.srcset = '_images/' + image + '_large.png 2x';
+        icon_img.alt = tooltip;
+        button.appendChild(icon_img);
+
+        buttonGroup.appendChild(button);
+    }
+
+    if (buttonGroup.hasChildNodes()) {
+        toolbar.appendChild(buttonGroup);
+    }
+
+    var fmt_picker = document.createElement('select');
+    fmt_picker.classList = 'mpl-widget';
+    toolbar.appendChild(fmt_picker);
+    this.format_dropdown = fmt_picker;
+
+    for (var ind in mpl.extensions) {
+        var fmt = mpl.extensions[ind];
+        var option = document.createElement('option');
+        option.selected = fmt === mpl.default_extension;
+        option.innerHTML = fmt;
+        fmt_picker.appendChild(option);
+    }
+
+    var status_bar = document.createElement('span');
+    status_bar.classList = 'mpl-message';
+    toolbar.appendChild(status_bar);
+    this.message = status_bar;
+};
+
+mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {
+    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,
+    // which will in turn request a refresh of the image.
+    this.send_message('resize', { width: x_pixels, height: y_pixels });
+};
+
+mpl.figure.prototype.send_message = function (type, properties) {
+    properties['type'] = type;
+    properties['figure_id'] = this.id;
+    this.ws.send(JSON.stringify(properties));
+};
+
+mpl.figure.prototype.send_draw_message = function () {
+    if (!this.waiting) {
+        this.waiting = true;
+        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));
+    }
+};
+
+mpl.figure.prototype.handle_save = function (fig, _msg) {
+    var format_dropdown = fig.format_dropdown;
+    var format = format_dropdown.options[format_dropdown.selectedIndex].value;
+    fig.ondownload(fig, format);
+};
+
+mpl.figure.prototype.handle_resize = function (fig, msg) {
+    var size = msg['size'];
+    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {
+        fig._resize_canvas(size[0], size[1], msg['forward']);
+        fig.send_message('refresh', {});
+    }
+};
+
+mpl.figure.prototype.handle_rubberband = function (fig, msg) {
+    var x0 = msg['x0'] / fig.ratio;
+    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;
+    var x1 = msg['x1'] / fig.ratio;
+    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;
+    x0 = Math.floor(x0) + 0.5;
+    y0 = Math.floor(y0) + 0.5;
+    x1 = Math.floor(x1) + 0.5;
+    y1 = Math.floor(y1) + 0.5;
+    var min_x = Math.min(x0, x1);
+    var min_y = Math.min(y0, y1);
+    var width = Math.abs(x1 - x0);
+    var height = Math.abs(y1 - y0);
+
+    fig.rubberband_context.clearRect(
+        0,
+        0,
+        fig.canvas.width / fig.ratio,
+        fig.canvas.height / fig.ratio
+    );
+
+    fig.rubberband_context.strokeRect(min_x, min_y, width, height);
+};
+
+mpl.figure.prototype.handle_figure_label = function (fig, msg) {
+    // Updates the figure title.
+    fig.header.textContent = msg['label'];
+};
+
+mpl.figure.prototype.handle_cursor = function (fig, msg) {
+    fig.canvas_div.style.cursor = msg['cursor'];
+};
+
+mpl.figure.prototype.handle_message = function (fig, msg) {
+    fig.message.textContent = msg['message'];
+};
+
+mpl.figure.prototype.handle_draw = function (fig, _msg) {
+    // Request the server to send over a new figure.
+    fig.send_draw_message();
+};
+
+mpl.figure.prototype.handle_image_mode = function (fig, msg) {
+    fig.image_mode = msg['mode'];
+};
+
+mpl.figure.prototype.handle_history_buttons = function (fig, msg) {
+    for (var key in msg) {
+        if (!(key in fig.buttons)) {
+            continue;
+        }
+        fig.buttons[key].disabled = !msg[key];
+        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);
+    }
+};
+
+mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {
+    if (msg['mode'] === 'PAN') {
+        fig.buttons['Pan'].classList.add('active');
+        fig.buttons['Zoom'].classList.remove('active');
+    } else if (msg['mode'] === 'ZOOM') {
+        fig.buttons['Pan'].classList.remove('active');
+        fig.buttons['Zoom'].classList.add('active');
+    } else {
+        fig.buttons['Pan'].classList.remove('active');
+        fig.buttons['Zoom'].classList.remove('active');
+    }
+};
+
+mpl.figure.prototype.updated_canvas_event = function () {
+    // Called whenever the canvas gets updated.
+    this.send_message('ack', {});
+};
+
+// A function to construct a web socket function for onmessage handling.
+// Called in the figure constructor.
+mpl.figure.prototype._make_on_message_function = function (fig) {
+    return function socket_on_message(evt) {
+        if (evt.data instanceof Blob) {
+            var img = evt.data;
+            if (img.type !== 'image/png') {
+                /* FIXME: We get "Resource interpreted as Image but
+                 * transferred with MIME type text/plain:" errors on
+                 * Chrome.  But how to set the MIME type?  It doesn't seem
+                 * to be part of the websocket stream */
+                img.type = 'image/png';
+            }
+
+            /* Free the memory for the previous frames */
+            if (fig.imageObj.src) {
+                (window.URL || window.webkitURL).revokeObjectURL(
+                    fig.imageObj.src
+                );
+            }
+
+            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(
+                img
+            );
+            fig.updated_canvas_event();
+            fig.waiting = false;
+            return;
+        } else if (
+            typeof evt.data === 'string' &&
+            evt.data.slice(0, 21) === 'data:image/png;base64'
+        ) {
+            fig.imageObj.src = evt.data;
+            fig.updated_canvas_event();
+            fig.waiting = false;
+            return;
+        }
+
+        var msg = JSON.parse(evt.data);
+        var msg_type = msg['type'];
+
+        // Call the  "handle_{type}" callback, which takes
+        // the figure and JSON message as its only arguments.
+        try {
+            var callback = fig['handle_' + msg_type];
+        } catch (e) {
+            console.log(
+                "No handler for the '" + msg_type + "' message type: ",
+                msg
+            );
+            return;
+        }
+
+        if (callback) {
+            try {
+                // console.log("Handling '" + msg_type + "' message: ", msg);
+                callback(fig, msg);
+            } catch (e) {
+                console.log(
+                    "Exception inside the 'handler_" + msg_type + "' callback:",
+                    e,
+                    e.stack,
+                    msg
+                );
+            }
+        }
+    };
+};
+
+function getModifiers(event) {
+    var mods = [];
+    if (event.ctrlKey) {
+        mods.push('ctrl');
+    }
+    if (event.altKey) {
+        mods.push('alt');
+    }
+    if (event.shiftKey) {
+        mods.push('shift');
+    }
+    if (event.metaKey) {
+        mods.push('meta');
+    }
+    return mods;
+}
+
+/*
+ * return a copy of an object with only non-object keys
+ * we need this to avoid circular references
+ * https://stackoverflow.com/a/24161582/3208463
+ */
+function simpleKeys(original) {
+    return Object.keys(original).reduce(function (obj, key) {
+        if (typeof original[key] !== 'object') {
+            obj[key] = original[key];
+        }
+        return obj;
+    }, {});
+}
+
+mpl.figure.prototype.mouse_event = function (event, name) {
+    if (name === 'button_press') {
+        this.canvas.focus();
+        this.canvas_div.focus();
+    }
+
+    // from https://stackoverflow.com/q/1114465
+    var boundingRect = this.canvas.getBoundingClientRect();
+    var x = (event.clientX - boundingRect.left) * this.ratio;
+    var y = (event.clientY - boundingRect.top) * this.ratio;
+
+    this.send_message(name, {
+        x: x,
+        y: y,
+        button: event.button,
+        step: event.step,
+        buttons: event.buttons,
+        modifiers: getModifiers(event),
+        guiEvent: simpleKeys(event),
+    });
+
+    return false;
+};
+
+mpl.figure.prototype._key_event_extra = function (_event, _name) {
+    // Handle any extra behaviour associated with a key event
+};
+
+mpl.figure.prototype.key_event = function (event, name) {
+    // Prevent repeat events
+    if (name === 'key_press') {
+        if (event.key === this._key) {
+            return;
+        } else {
+            this._key = event.key;
+        }
+    }
+    if (name === 'key_release') {
+        this._key = null;
+    }
+
+    var value = '';
+    if (event.ctrlKey && event.key !== 'Control') {
+        value += 'ctrl+';
+    }
+    else if (event.altKey && event.key !== 'Alt') {
+        value += 'alt+';
+    }
+    else if (event.shiftKey && event.key !== 'Shift') {
+        value += 'shift+';
+    }
+
+    value += 'k' + event.key;
+
+    this._key_event_extra(event, name);
+
+    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });
+    return false;
+};
+
+mpl.figure.prototype.toolbar_button_onclick = function (name) {
+    if (name === 'download') {
+        this.handle_save(this, null);
+    } else {
+        this.send_message('toolbar_button', { name: name });
+    }
+};
+
+mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {
+    this.message.textContent = tooltip;
+};
+
+///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////
+// prettier-ignore
+var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError("Constructor requires 'new' operator");i.set(this,e)}function h(){throw new TypeError("Function is not a constructor")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/js/mpl_tornado.js

@@ -0,0 +1,8 @@
+/* This .js file contains functions for matplotlib's built-in
+   tornado-based server, that are not relevant when embedding WebAgg
+   in another web application. */
+
+/* exported mpl_ondownload */
+function mpl_ondownload(figure, format) {
+    window.open(figure.id + '/download.' + format, '_blank');
+}

llava_video/lib/python3.10/site-packages/matplotlib/backends/web_backend/single_figure.html

@@ -0,0 +1,39 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/page.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/boilerplate.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/fbm.css" type="text/css">
+    <link rel="stylesheet" href="{{ prefix }}/_static/css/mpl.css" type="text/css">
+    <script src="{{ prefix }}/_static/js/mpl_tornado.js"></script>
+    <script src="{{ prefix }}/js/mpl.js"></script>
+    <script>
+      function ready(fn) {
+        if (document.readyState != "loading") {
+          fn();
+        } else {
+          document.addEventListener("DOMContentLoaded", fn);
+        }
+      }
+
+      ready(
+        function () {
+          var websocket_type = mpl.get_websocket_type();
+          var uri = "{{ ws_uri }}" + {{ str(fig_id) }} + "/ws";
+          if (window.location.protocol === 'https:') uri = uri.replace('ws:', 'wss:')
+          var websocket = new websocket_type(uri);
+          var fig = new mpl.figure(
+              {{ str(fig_id) }}, websocket, mpl_ondownload,
+              document.getElementById("figure"));
+        }
+      );
+    </script>
+
+    <title>matplotlib</title>
+  </head>
+
+  <body>
+    <div id="mpl-warnings" class="mpl-warnings"></div>
+    <div id="figure" style="margin: 10px 10px;"></div>
+  </body>
+</html>

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_conj.h

@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_conj_ops.h>
+
+namespace at {
+
+
+// aten::_conj(Tensor(a) self) -> Tensor(a)
+inline at::Tensor _conj(const at::Tensor & self) {
+    return at::_ops::_conj::call(self);
+}
+
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor _convert_indices_from_csr_to_coo(const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32=false, bool transpose=false);
+TORCH_API at::Tensor & _convert_indices_from_csr_to_coo_out(at::Tensor & out, const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32=false, bool transpose=false);
+TORCH_API at::Tensor & _convert_indices_from_csr_to_coo_outf(const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32, bool transpose, at::Tensor & out);
+
+} // namespace cpu
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_cummin_helper_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _cummin_helper {
+  using schema = void (const at::Tensor &, at::Tensor &, at::Tensor &, int64_t);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_cummin_helper")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_cummin_helper(Tensor self, Tensor(a!) values, Tensor(b!) indices, int dim) -> ()")
+  static void call(const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_log(at::TensorList self);
+TORCH_API void _foreach_log_(at::TensorList self);
+
+} // namespace cuda
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_pow_native.h

@@ -0,0 +1,37 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_pow_list_kernel_slow(at::TensorList self, at::TensorList exponent);
+TORCH_API void _foreach_pow_List_out(at::TensorList self, at::TensorList exponent, at::TensorList out);
+TORCH_API void foreach_tensor_pow_list_kernel_slow_(at::TensorList self, at::TensorList exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_pow_list_kernel_cuda(at::TensorList self, at::TensorList exponent);
+TORCH_API void foreach_tensor_pow_list_kernel_cuda_(at::TensorList self, at::TensorList exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_pow_scalar_kernel_slow(at::TensorList self, const at::Scalar & exponent);
+TORCH_API void _foreach_pow_Scalar_out(at::TensorList self, const at::Scalar & exponent, at::TensorList out);
+TORCH_API void foreach_tensor_pow_scalar_kernel_slow_(at::TensorList self, const at::Scalar & exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_pow_scalar_kernel_cuda(at::TensorList self, const at::Scalar & exponent);
+TORCH_API void foreach_tensor_pow_scalar_kernel_cuda_(at::TensorList self, const at::Scalar & exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_pow_scalarlist_kernel_slow(at::TensorList self, at::ArrayRef<at::Scalar> exponent);
+TORCH_API void _foreach_pow_ScalarList_out(at::TensorList self, at::ArrayRef<at::Scalar> exponent, at::TensorList out);
+TORCH_API void foreach_tensor_pow_scalarlist_kernel_slow_(at::TensorList self, at::ArrayRef<at::Scalar> exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_pow_scalarlist_kernel_cuda(at::TensorList self, at::ArrayRef<at::Scalar> exponent);
+TORCH_API void foreach_tensor_pow_scalarlist_kernel_cuda_(at::TensorList self, at::ArrayRef<at::Scalar> exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_scalar_pow_list_kernel_slow(const at::Scalar & self, at::TensorList exponent);
+TORCH_API ::std::vector<at::Tensor> foreach_scalar_pow_list_kernel_cuda(const at::Scalar & self, at::TensorList exponent);
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_zero(at::TensorList self);
+TORCH_API void _foreach_zero_out(at::TensorList out, at::TensorList self);
+TORCH_API void _foreach_zero_outf(at::TensorList self, at::TensorList out);
+TORCH_API void _foreach_zero_(at::TensorList self);
+
+} // namespace compositeexplicitautograd
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_gather_sparse_backward_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _gather_sparse_backward {
+  using schema = at::Tensor (const at::Tensor &, int64_t, const at::Tensor &, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_gather_sparse_backward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_gather_sparse_backward(Tensor self, int dim, Tensor index, Tensor grad) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & grad);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & grad);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_linalg_check_errors.h

@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_linalg_check_errors_ops.h>
+
+namespace at {
+
+
+// aten::_linalg_check_errors(Tensor info, str api_name, *, bool is_matrix) -> ()
+inline void _linalg_check_errors(const at::Tensor & info, c10::string_view api_name, bool is_matrix) {
+    return at::_ops::_linalg_check_errors::call(info, api_name, is_matrix);
+}
+
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_pin_memory.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_pin_memory_ops.h>
+
+namespace at {
+
+
+// aten::_pin_memory(Tensor self, Device? device=None) -> Tensor
+inline at::Tensor _pin_memory(const at::Tensor & self, ::std::optional<at::Device> device=::std::nullopt) {
+    return at::_ops::_pin_memory::call(self, device);
+}
+
+// aten::_pin_memory.out(Tensor self, Device? device=None, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _pin_memory_out(at::Tensor & out, const at::Tensor & self, ::std::optional<at::Device> device=::std::nullopt) {
+    return at::_ops::_pin_memory_out::call(self, device, out);
+}
+// aten::_pin_memory.out(Tensor self, Device? device=None, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _pin_memory_outf(const at::Tensor & self, ::std::optional<at::Device> device, at::Tensor & out) {
+    return at::_ops::_pin_memory_out::call(self, device, out);
+}
+
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_reshape_alias_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor _reshape_alias(const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride);
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_scaled_dot_product_fused_attention_overrideable_backward.h

@@ -0,0 +1,47 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_scaled_dot_product_fused_attention_overrideable_backward_ops.h>
+
+namespace at {
+
+
+// aten::_scaled_dot_product_fused_attention_overrideable_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor attn_bias, bool[4] grad_input_mask, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value, Tensor grad_attn_bias)
+inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _scaled_dot_product_fused_attention_overrideable_backward(const at::Tensor & grad_out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & attn_bias, ::std::array<bool,4> grad_input_mask, const at::Tensor & out, const at::Tensor & logsumexp, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, int64_t max_q, int64_t max_k, double dropout_p, bool is_causal, const at::Tensor & philox_seed, const at::Tensor & philox_offset, ::std::optional<double> scale=::std::nullopt) {
+    return at::_ops::_scaled_dot_product_fused_attention_overrideable_backward::call(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _scaled_dot_product_fused_attention_overrideable_backward(const at::Tensor & grad_out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & attn_bias, ::std::array<bool,4> grad_input_mask, const at::Tensor & out, const at::Tensor & logsumexp, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, int64_t max_q, int64_t max_k, double dropout_p, bool is_causal, const at::Tensor & philox_seed, const at::Tensor & philox_offset, ::std::optional<double> scale=::std::nullopt) {
+    return at::_ops::_scaled_dot_product_fused_attention_overrideable_backward::call(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale);
+  }
+}
+
+// aten::_scaled_dot_product_fused_attention_overrideable_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor attn_bias, bool[4] grad_input_mask, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, SymInt max_q, SymInt max_k, float dropout_p, bool is_causal, Tensor philox_seed, Tensor philox_offset, *, float? scale=None) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value, Tensor grad_attn_bias)
+inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _scaled_dot_product_fused_attention_overrideable_backward_symint(const at::Tensor & grad_out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & attn_bias, ::std::array<bool,4> grad_input_mask, const at::Tensor & out, const at::Tensor & logsumexp, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, c10::SymInt max_q, c10::SymInt max_k, double dropout_p, bool is_causal, const at::Tensor & philox_seed, const at::Tensor & philox_offset, ::std::optional<double> scale=::std::nullopt) {
+    return at::_ops::_scaled_dot_product_fused_attention_overrideable_backward::call(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _scaled_dot_product_fused_attention_overrideable_backward(const at::Tensor & grad_out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & attn_bias, ::std::array<bool,4> grad_input_mask, const at::Tensor & out, const at::Tensor & logsumexp, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, c10::SymInt max_q, c10::SymInt max_k, double dropout_p, bool is_causal, const at::Tensor & philox_seed, const at::Tensor & philox_offset, ::std::optional<double> scale=::std::nullopt) {
+    return at::_ops::_scaled_dot_product_fused_attention_overrideable_backward::call(grad_out, query, key, value, attn_bias, grad_input_mask, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset, scale);
+  }
+}
+
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_triton_multi_head_attention_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & _triton_multi_head_attention_out(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const ::std::optional<at::Tensor> & mask, at::Tensor & out);
+TORCH_API at::Tensor triton_multi_head_attention(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const ::std::optional<at::Tensor> & mask={});
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_triton_scaled_dot_attention.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/_triton_scaled_dot_attention_ops.h>
+
+namespace at {
+
+
+// aten::_triton_scaled_dot_attention(Tensor q, Tensor k, Tensor v, float dropout_p=0.0) -> Tensor
+inline at::Tensor _triton_scaled_dot_attention(const at::Tensor & q, const at::Tensor & k, const at::Tensor & v, double dropout_p=0.0) {
+    return at::_ops::_triton_scaled_dot_attention::call(q, k, v, dropout_p);
+}
+
+// aten::_triton_scaled_dot_attention.out(Tensor q, Tensor k, Tensor v, float dropout_p=0.0, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _triton_scaled_dot_attention_out(at::Tensor & out, const at::Tensor & q, const at::Tensor & k, const at::Tensor & v, double dropout_p=0.0) {
+    return at::_ops::_triton_scaled_dot_attention_out::call(q, k, v, dropout_p, out);
+}
+// aten::_triton_scaled_dot_attention.out(Tensor q, Tensor k, Tensor v, float dropout_p=0.0, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _triton_scaled_dot_attention_outf(const at::Tensor & q, const at::Tensor & k, const at::Tensor & v, double dropout_p, at::Tensor & out) {
+    return at::_ops::_triton_scaled_dot_attention_out::call(q, k, v, dropout_p, out);
+}
+
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_unique2_cpu_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _unique2(const at::Tensor & self, bool sorted=true, bool return_inverse=false, bool return_counts=false);
+
+} // namespace cpu
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _upsample_bicubic2d_aa_backward_grad_input {
+  using schema = at::Tensor & (const at::Tensor &, c10::SymIntArrayRef, c10::SymIntArrayRef, bool, ::std::optional<double>, ::std::optional<double>, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_upsample_bicubic2d_aa_backward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "grad_input")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_upsample_bicubic2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w, at::Tensor & grad_input);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w, at::Tensor & grad_input);
+};
+
+struct TORCH_API _upsample_bicubic2d_aa_backward {
+  using schema = at::Tensor (const at::Tensor &, c10::SymIntArrayRef, c10::SymIntArrayRef, bool, ::std::optional<double>, ::std::optional<double>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_upsample_bicubic2d_aa_backward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_upsample_bicubic2d_aa_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor")
+  static at::Tensor call(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/addcdiv_ops.h

@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API addcdiv_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::addcdiv")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "addcdiv.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out);
+};
+
+struct TORCH_API addcdiv {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::addcdiv")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "addcdiv(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value);
+};
+
+struct TORCH_API addcdiv_ {
+  using schema = at::Tensor & (at::Tensor &, const at::Tensor &, const at::Tensor &, const at::Scalar &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::addcdiv_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "addcdiv_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/align_as_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API align_as {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::align_as")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "align_as(Tensor self, Tensor other) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, const at::Tensor & other);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/alpha_dropout_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor alpha_dropout(const at::Tensor & input, double p, bool train);
+TORCH_API at::Tensor & alpha_dropout_(at::Tensor & self, double p, bool train);
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor any(const at::Tensor & self, int64_t dim, bool keepdim=false);
+TORCH_API at::Tensor any(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false);
+TORCH_API at::Tensor any(const at::Tensor & self);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/binary_cross_entropy_backward.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+
+
+
+#include <ATen/ops/binary_cross_entropy_backward_ops.h>
+
+namespace at {
+
+
+// aten::binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean) -> Tensor
+inline at::Tensor binary_cross_entropy_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
+    return at::_ops::binary_cross_entropy_backward::call(grad_output, self, target, weight, reduction);
+}
+
+// aten::binary_cross_entropy_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!)
+inline at::Tensor & binary_cross_entropy_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) {
+    return at::_ops::binary_cross_entropy_backward_grad_input::call(grad_output, self, target, weight, reduction, grad_input);
+}
+// aten::binary_cross_entropy_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!)
+inline at::Tensor & binary_cross_entropy_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & grad_input) {
+    return at::_ops::binary_cross_entropy_backward_grad_input::call(grad_output, self, target, weight, reduction, grad_input);
+}
+
+}

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/bitwise_left_shift_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_bitwise_left_shift_Tensor : public TensorIteratorBase {
+    
+    
+    void meta(const at::Tensor & self, const at::Tensor & other);
+};
+
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/copy_sparse_to_sparse_native.h

@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor copy_sparse_to_sparse(const at::Tensor & self, const at::Tensor & src, bool non_blocking=false);
+TORCH_API at::Tensor & copy_sparse_to_sparse_out(const at::Tensor & self, const at::Tensor & src, bool non_blocking, at::Tensor & out);
+TORCH_API at::Tensor & copy_sparse_(at::Tensor & self, const at::Tensor & src, bool non_blocking=false);
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor cos(const at::Tensor & self);
+TORCH_API at::Tensor & cos_(at::Tensor & self);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API cudnn_grid_sampler_backward {
+  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cudnn_grid_sampler_backward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cudnn_grid_sampler_backward(Tensor self, Tensor grid, Tensor grad_output) -> (Tensor grad_self, Tensor grad_grid)")
+  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output);
+  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output);
+};
+
+struct TORCH_API cudnn_grid_sampler_backward_out {
+  using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cudnn_grid_sampler_backward")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cudnn_grid_sampler_backward.out(Tensor self, Tensor grid, Tensor grad_output, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))")
+  static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output, at::Tensor & out0, at::Tensor & out1);
+  static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output, at::Tensor & out0, at::Tensor & out1);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor & detach_copy_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & detach_copy_outf(const at::Tensor & self, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/elu_backward_meta_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor elu_backward(const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result);
+TORCH_API at::Tensor & elu_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result);
+TORCH_API at::Tensor & elu_backward_outf(const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result, at::Tensor & grad_input);
+
+} // namespace meta
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/expand_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API expand {
+  using schema = at::Tensor (const at::Tensor &, c10::SymIntArrayRef, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::expand")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "expand(Tensor(a) self, SymInt[] size, *, bool implicit=False) -> Tensor(a)")
+  static at::Tensor call(const at::Tensor & self, c10::SymIntArrayRef size, bool implicit);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, bool implicit);
+};
+
+}} // namespace at::_ops

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor fbgemm_pack_quantized_matrix(const at::Tensor & input);
+TORCH_API at::Tensor fbgemm_pack_quantized_matrix(const at::Tensor & input, int64_t K, int64_t N);
+
+} // namespace compositeimplicitautograd
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/fill_native.h

@@ -0,0 +1,33 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <optional>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor fill(const at::Tensor & self, const at::Scalar & value);
+TORCH_API at::Tensor & fill_Scalar_out(const at::Tensor & self, const at::Scalar & value, at::Tensor & out);
+TORCH_API at::Tensor & fill_(at::Tensor & self, const at::Scalar & value);
+TORCH_API at::Tensor & fill_nested_(at::Tensor & self, const at::Scalar & value);
+TORCH_API at::Tensor & fill_sparse_csr_(at::Tensor & self, const at::Scalar & value);
+TORCH_API at::Tensor & fill_meta_(at::Tensor & self, const at::Scalar & value);
+TORCH_API at::Tensor & fill_quantized_(at::Tensor & self, const at::Scalar & value);
+TORCH_API at::Tensor fill(const at::Tensor & self, const at::Tensor & value);
+TORCH_API at::Tensor & fill_Tensor_out(const at::Tensor & self, const at::Tensor & value, at::Tensor & out);
+TORCH_API at::Tensor & fill_(at::Tensor & self, const at::Tensor & value);
+TORCH_API at::Tensor & fill_nested_(at::Tensor & self, const at::Tensor & value);
+TORCH_API at::Tensor & fill_meta_(at::Tensor & self, const at::Tensor & value);
+TORCH_API at::Tensor & fill_quantized_(at::Tensor & self, const at::Tensor & value);
+} // namespace native
+} // namespace at

pllava/lib/python3.10/site-packages/torch/include/ATen/ops/index_reduce_ops.h

@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API index_reduce_out {
+  using schema = at::Tensor & (const at::Tensor &, int64_t, const at::Tensor &, const at::Tensor &, c10::string_view, bool, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::index_reduce")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "index_reduce.out(Tensor self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self, at::Tensor & out);
+};
+
+struct TORCH_API index_reduce_ {
+  using schema = at::Tensor & (at::Tensor &, int64_t, const at::Tensor &, const at::Tensor &, c10::string_view, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::index_reduce_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "index_reduce_(Tensor(a!) self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self);
+};
+
+struct TORCH_API index_reduce {
+  using schema = at::Tensor (const at::Tensor &, int64_t, const at::Tensor &, const at::Tensor &, c10::string_view, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::index_reduce")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "index_reduce(Tensor self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self);
+};
+
+}} // namespace at::_ops