diff --git a/.gitattributes b/.gitattributes
index 415b4f41d7dc5863295a64b2e349da7b344446f1..996254a51b10854067c2fd3963f5caf267dde909 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1356,3 +1356,4 @@ minigpt2/lib/python3.10/site-packages/Crypto/PublicKey/_ec_ws.abi3.so filter=lfs
 minigpt2/lib/python3.10/site-packages/Crypto/PublicKey/_curve25519.abi3.so filter=lfs diff=lfs merge=lfs -text
 minigpt2/lib/python3.10/site-packages/Crypto/PublicKey/_ed25519.abi3.so filter=lfs diff=lfs merge=lfs -text
 llava/lib/python3.10/site-packages/pip/_vendor/rich/__pycache__/_emoji_codes.cpython-310.pyc filter=lfs diff=lfs merge=lfs -text
+minigpt2/lib/python3.10/site-packages/Crypto/Math/_modexp.abi3.so filter=lfs diff=lfs merge=lfs -text
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/console.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/console.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c1a06219ca7772f4ef9c31327ada3648701a2dc
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/console.py
@@ -0,0 +1,70 @@
+"""
+    pygments.console
+    ~~~~~~~~~~~~~~~~
+
+    Format colored console output.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+esc = "\x1b["
+
+codes = {}
+codes[""] = ""
+codes["reset"] = esc + "39;49;00m"
+
+codes["bold"] = esc + "01m"
+codes["faint"] = esc + "02m"
+codes["standout"] = esc + "03m"
+codes["underline"] = esc + "04m"
+codes["blink"] = esc + "05m"
+codes["overline"] = esc + "06m"
+
+dark_colors = ["black", "red", "green", "yellow", "blue",
+               "magenta", "cyan", "gray"]
+light_colors = ["brightblack", "brightred", "brightgreen", "brightyellow", "brightblue",
+                "brightmagenta", "brightcyan", "white"]
+
+x = 30
+for dark, light in zip(dark_colors, light_colors):
+    codes[dark] = esc + "%im" % x
+    codes[light] = esc + "%im" % (60 + x)
+    x += 1
+
+del dark, light, x
+
+codes["white"] = codes["bold"]
+
+
+def reset_color():
+    return codes["reset"]
+
+
+def colorize(color_key, text):
+    return codes[color_key] + text + codes["reset"]
+
+
+def ansiformat(attr, text):
+    """
+    Format ``text`` with a color and/or some attributes::
+
+        color       normal color
+        *color*     bold color
+        _color_     underlined color
+        +color+     blinking color
+    """
+    result = []
+    if attr[:1] == attr[-1:] == '+':
+        result.append(codes['blink'])
+        attr = attr[1:-1]
+    if attr[:1] == attr[-1:] == '*':
+        result.append(codes['bold'])
+        attr = attr[1:-1]
+    if attr[:1] == attr[-1:] == '_':
+        result.append(codes['underline'])
+        attr = attr[1:-1]
+    result.append(codes[attr])
+    result.append(text)
+    result.append(codes['reset'])
+    return ''.join(result)
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/filter.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/filter.py
new file mode 100644
index 0000000000000000000000000000000000000000..aa6f76041b65b2e8a0545493d6bd1afc2f34d668
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/filter.py
@@ -0,0 +1,70 @@
+"""
+    pygments.filter
+    ~~~~~~~~~~~~~~~
+
+    Module that implements the default filter.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+
+def apply_filters(stream, filters, lexer=None):
+    """
+    Use this method to apply an iterable of filters to
+    a stream. If lexer is given it's forwarded to the
+    filter, otherwise the filter receives `None`.
+    """
+    def _apply(filter_, stream):
+        yield from filter_.filter(lexer, stream)
+    for filter_ in filters:
+        stream = _apply(filter_, stream)
+    return stream
+
+
+def simplefilter(f):
+    """
+    Decorator that converts a function into a filter::
+
+        @simplefilter
+        def lowercase(self, lexer, stream, options):
+            for ttype, value in stream:
+                yield ttype, value.lower()
+    """
+    return type(f.__name__, (FunctionFilter,), {
+        '__module__': getattr(f, '__module__'),
+        '__doc__': f.__doc__,
+        'function': f,
+    })
+
+
+class Filter:
+    """
+    Default filter. Subclass this class or use the `simplefilter`
+    decorator to create own filters.
+    """
+
+    def __init__(self, **options):
+        self.options = options
+
+    def filter(self, lexer, stream):
+        raise NotImplementedError()
+
+
+class FunctionFilter(Filter):
+    """
+    Abstract class used by `simplefilter` to create simple
+    function filters on the fly. The `simplefilter` decorator
+    automatically creates subclasses of this class for
+    functions passed to it.
+    """
+    function = None
+
+    def __init__(self, **options):
+        if not hasattr(self, 'function'):
+            raise TypeError(f'{self.__class__.__name__!r} used without bound function')
+        Filter.__init__(self, **options)
+
+    def filter(self, lexer, stream):
+        # pylint: disable=not-callable
+        yield from self.function(lexer, stream, self.options)
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/__init__.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f19e9931f0737238ba8c043a2b17791fc2972913
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/__init__.py
@@ -0,0 +1,157 @@
+"""
+    pygments.formatters
+    ~~~~~~~~~~~~~~~~~~~
+
+    Pygments formatters.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+import re
+import sys
+import types
+import fnmatch
+from os.path import basename
+
+from pip._vendor.pygments.formatters._mapping import FORMATTERS
+from pip._vendor.pygments.plugin import find_plugin_formatters
+from pip._vendor.pygments.util import ClassNotFound
+
+__all__ = ['get_formatter_by_name', 'get_formatter_for_filename',
+           'get_all_formatters', 'load_formatter_from_file'] + list(FORMATTERS)
+
+_formatter_cache = {}  # classes by name
+_pattern_cache = {}
+
+
+def _fn_matches(fn, glob):
+    """Return whether the supplied file name fn matches pattern filename."""
+    if glob not in _pattern_cache:
+        pattern = _pattern_cache[glob] = re.compile(fnmatch.translate(glob))
+        return pattern.match(fn)
+    return _pattern_cache[glob].match(fn)
+
+
+def _load_formatters(module_name):
+    """Load a formatter (and all others in the module too)."""
+    mod = __import__(module_name, None, None, ['__all__'])
+    for formatter_name in mod.__all__:
+        cls = getattr(mod, formatter_name)
+        _formatter_cache[cls.name] = cls
+
+
+def get_all_formatters():
+    """Return a generator for all formatter classes."""
+    # NB: this returns formatter classes, not info like get_all_lexers().
+    for info in FORMATTERS.values():
+        if info[1] not in _formatter_cache:
+            _load_formatters(info[0])
+        yield _formatter_cache[info[1]]
+    for _, formatter in find_plugin_formatters():
+        yield formatter
+
+
+def find_formatter_class(alias):
+    """Lookup a formatter by alias.
+
+    Returns None if not found.
+    """
+    for module_name, name, aliases, _, _ in FORMATTERS.values():
+        if alias in aliases:
+            if name not in _formatter_cache:
+                _load_formatters(module_name)
+            return _formatter_cache[name]
+    for _, cls in find_plugin_formatters():
+        if alias in cls.aliases:
+            return cls
+
+
+def get_formatter_by_name(_alias, **options):
+    """
+    Return an instance of a :class:`.Formatter` subclass that has `alias` in its
+    aliases list. The formatter is given the `options` at its instantiation.
+
+    Will raise :exc:`pygments.util.ClassNotFound` if no formatter with that
+    alias is found.
+    """
+    cls = find_formatter_class(_alias)
+    if cls is None:
+        raise ClassNotFound(f"no formatter found for name {_alias!r}")
+    return cls(**options)
+
+
+def load_formatter_from_file(filename, formattername="CustomFormatter", **options):
+    """
+    Return a `Formatter` subclass instance loaded from the provided file, relative
+    to the current directory.
+
+    The file is expected to contain a Formatter class named ``formattername``
+    (by default, CustomFormatter). Users should be very careful with the input, because
+    this method is equivalent to running ``eval()`` on the input file. The formatter is
+    given the `options` at its instantiation.
+
+    :exc:`pygments.util.ClassNotFound` is raised if there are any errors loading
+    the formatter.
+
+    .. versionadded:: 2.2
+    """
+    try:
+        # This empty dict will contain the namespace for the exec'd file
+        custom_namespace = {}
+        with open(filename, 'rb') as f:
+            exec(f.read(), custom_namespace)
+        # Retrieve the class `formattername` from that namespace
+        if formattername not in custom_namespace:
+            raise ClassNotFound(f'no valid {formattername} class found in {filename}')
+        formatter_class = custom_namespace[formattername]
+        # And finally instantiate it with the options
+        return formatter_class(**options)
+    except OSError as err:
+        raise ClassNotFound(f'cannot read {filename}: {err}')
+    except ClassNotFound:
+        raise
+    except Exception as err:
+        raise ClassNotFound(f'error when loading custom formatter: {err}')
+
+
+def get_formatter_for_filename(fn, **options):
+    """
+    Return a :class:`.Formatter` subclass instance that has a filename pattern
+    matching `fn`. The formatter is given the `options` at its instantiation.
+
+    Will raise :exc:`pygments.util.ClassNotFound` if no formatter for that filename
+    is found.
+    """
+    fn = basename(fn)
+    for modname, name, _, filenames, _ in FORMATTERS.values():
+        for filename in filenames:
+            if _fn_matches(fn, filename):
+                if name not in _formatter_cache:
+                    _load_formatters(modname)
+                return _formatter_cache[name](**options)
+    for _name, cls in find_plugin_formatters():
+        for filename in cls.filenames:
+            if _fn_matches(fn, filename):
+                return cls(**options)
+    raise ClassNotFound(f"no formatter found for file name {fn!r}")
+
+
+class _automodule(types.ModuleType):
+    """Automatically import formatters."""
+
+    def __getattr__(self, name):
+        info = FORMATTERS.get(name)
+        if info:
+            _load_formatters(info[0])
+            cls = _formatter_cache[info[1]]
+            setattr(self, name, cls)
+            return cls
+        raise AttributeError(name)
+
+
+oldmod = sys.modules[__name__]
+newmod = _automodule(__name__)
+newmod.__dict__.update(oldmod.__dict__)
+sys.modules[__name__] = newmod
+del newmod.newmod, newmod.oldmod, newmod.sys, newmod.types
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/bbcode.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/bbcode.py
new file mode 100644
index 0000000000000000000000000000000000000000..5a05bd961de4b53cc00c9c24d9be69f5242eb3a5
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/bbcode.py
@@ -0,0 +1,108 @@
+"""
+    pygments.formatters.bbcode
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+    BBcode formatter.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.util import get_bool_opt
+
+__all__ = ['BBCodeFormatter']
+
+
+class BBCodeFormatter(Formatter):
+    """
+    Format tokens with BBcodes. These formatting codes are used by many
+    bulletin boards, so you can highlight your sourcecode with pygments before
+    posting it there.
+
+    This formatter has no support for background colors and borders, as there
+    are no common BBcode tags for that.
+
+    Some board systems (e.g. phpBB) don't support colors in their [code] tag,
+    so you can't use the highlighting together with that tag.
+    Text in a [code] tag usually is shown with a monospace font (which this
+    formatter can do with the ``monofont`` option) and no spaces (which you
+    need for indentation) are removed.
+
+    Additional options accepted:
+
+    `style`
+        The style to use, can be a string or a Style subclass (default:
+        ``'default'``).
+
+    `codetag`
+        If set to true, put the output into ``[code]`` tags (default:
+        ``false``)
+
+    `monofont`
+        If set to true, add a tag to show the code with a monospace font
+        (default: ``false``).
+    """
+    name = 'BBCode'
+    aliases = ['bbcode', 'bb']
+    filenames = []
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+        self._code = get_bool_opt(options, 'codetag', False)
+        self._mono = get_bool_opt(options, 'monofont', False)
+
+        self.styles = {}
+        self._make_styles()
+
+    def _make_styles(self):
+        for ttype, ndef in self.style:
+            start = end = ''
+            if ndef['color']:
+                start += '[color=#{}]'.format(ndef['color'])
+                end = '[/color]' + end
+            if ndef['bold']:
+                start += '[b]'
+                end = '[/b]' + end
+            if ndef['italic']:
+                start += '[i]'
+                end = '[/i]' + end
+            if ndef['underline']:
+                start += '[u]'
+                end = '[/u]' + end
+            # there are no common BBcodes for background-color and border
+
+            self.styles[ttype] = start, end
+
+    def format_unencoded(self, tokensource, outfile):
+        if self._code:
+            outfile.write('[code]')
+        if self._mono:
+            outfile.write('[font=monospace]')
+
+        lastval = ''
+        lasttype = None
+
+        for ttype, value in tokensource:
+            while ttype not in self.styles:
+                ttype = ttype.parent
+            if ttype == lasttype:
+                lastval += value
+            else:
+                if lastval:
+                    start, end = self.styles[lasttype]
+                    outfile.write(''.join((start, lastval, end)))
+                lastval = value
+                lasttype = ttype
+
+        if lastval:
+            start, end = self.styles[lasttype]
+            outfile.write(''.join((start, lastval, end)))
+
+        if self._mono:
+            outfile.write('[/font]')
+        if self._code:
+            outfile.write('[/code]')
+        if self._code or self._mono:
+            outfile.write('\n')
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/groff.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/groff.py
new file mode 100644
index 0000000000000000000000000000000000000000..5c8a958f8d754a1b23b34b4b2b8db5254cc0ada4
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/groff.py
@@ -0,0 +1,170 @@
+"""
+    pygments.formatters.groff
+    ~~~~~~~~~~~~~~~~~~~~~~~~~
+
+    Formatter for groff output.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+import math
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.util import get_bool_opt, get_int_opt
+
+__all__ = ['GroffFormatter']
+
+
+class GroffFormatter(Formatter):
+    """
+    Format tokens with groff escapes to change their color and font style.
+
+    .. versionadded:: 2.11
+
+    Additional options accepted:
+
+    `style`
+        The style to use, can be a string or a Style subclass (default:
+        ``'default'``).
+
+    `monospaced`
+        If set to true, monospace font will be used (default: ``true``).
+
+    `linenos`
+        If set to true, print the line numbers (default: ``false``).
+
+    `wrap`
+        Wrap lines to the specified number of characters. Disabled if set to 0
+        (default: ``0``).
+    """
+
+    name = 'groff'
+    aliases = ['groff','troff','roff']
+    filenames = []
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+
+        self.monospaced = get_bool_opt(options, 'monospaced', True)
+        self.linenos = get_bool_opt(options, 'linenos', False)
+        self._lineno = 0
+        self.wrap = get_int_opt(options, 'wrap', 0)
+        self._linelen = 0
+
+        self.styles = {}
+        self._make_styles()
+
+
+    def _make_styles(self):
+        regular = '\\f[CR]' if self.monospaced else '\\f[R]'
+        bold = '\\f[CB]' if self.monospaced else '\\f[B]'
+        italic = '\\f[CI]' if self.monospaced else '\\f[I]'
+
+        for ttype, ndef in self.style:
+            start = end = ''
+            if ndef['color']:
+                start += '\\m[{}]'.format(ndef['color'])
+                end = '\\m[]' + end
+            if ndef['bold']:
+                start += bold
+                end = regular + end
+            if ndef['italic']:
+                start += italic
+                end = regular + end
+            if ndef['bgcolor']:
+                start += '\\M[{}]'.format(ndef['bgcolor'])
+                end = '\\M[]' + end
+
+            self.styles[ttype] = start, end
+
+
+    def _define_colors(self, outfile):
+        colors = set()
+        for _, ndef in self.style:
+            if ndef['color'] is not None:
+                colors.add(ndef['color'])
+
+        for color in sorted(colors):
+            outfile.write('.defcolor ' + color + ' rgb #' + color + '\n')
+
+
+    def _write_lineno(self, outfile):
+        self._lineno += 1
+        outfile.write("%s% 4d " % (self._lineno != 1 and '\n' or '', self._lineno))
+
+
+    def _wrap_line(self, line):
+        length = len(line.rstrip('\n'))
+        space = '     ' if self.linenos else ''
+        newline = ''
+
+        if length > self.wrap:
+            for i in range(0, math.floor(length / self.wrap)):
+                chunk = line[i*self.wrap:i*self.wrap+self.wrap]
+                newline += (chunk + '\n' + space)
+            remainder = length % self.wrap
+            if remainder > 0:
+                newline += line[-remainder-1:]
+                self._linelen = remainder
+        elif self._linelen + length > self.wrap:
+            newline = ('\n' + space) + line
+            self._linelen = length
+        else:
+            newline = line
+            self._linelen += length
+
+        return newline
+
+
+    def _escape_chars(self, text):
+        text = text.replace('\\', '\\[u005C]'). \
+                    replace('.', '\\[char46]'). \
+                    replace('\'', '\\[u0027]'). \
+                    replace('`', '\\[u0060]'). \
+                    replace('~', '\\[u007E]')
+        copy = text
+
+        for char in copy:
+            if len(char) != len(char.encode()):
+                uni = char.encode('unicode_escape') \
+                    .decode()[1:] \
+                    .replace('x', 'u00') \
+                    .upper()
+                text = text.replace(char, '\\[u' + uni[1:] + ']')
+
+        return text
+
+
+    def format_unencoded(self, tokensource, outfile):
+        self._define_colors(outfile)
+
+        outfile.write('.nf\n\\f[CR]\n')
+
+        if self.linenos:
+            self._write_lineno(outfile)
+
+        for ttype, value in tokensource:
+            while ttype not in self.styles:
+                ttype = ttype.parent
+            start, end = self.styles[ttype]
+
+            for line in value.splitlines(True):
+                if self.wrap > 0:
+                    line = self._wrap_line(line)
+
+                if start and end:
+                    text = self._escape_chars(line.rstrip('\n'))
+                    if text != '':
+                        outfile.write(''.join((start, text, end)))
+                else:
+                    outfile.write(self._escape_chars(line.rstrip('\n')))
+
+                if line.endswith('\n'):
+                    if self.linenos:
+                        self._write_lineno(outfile)
+                        self._linelen = 0
+                    else:
+                        outfile.write('\n')
+                        self._linelen = 0
+
+        outfile.write('\n.fi')
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/html.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/html.py
new file mode 100644
index 0000000000000000000000000000000000000000..7aa938f5119bf723c15fed9534dbdeab2c817c9d
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/html.py
@@ -0,0 +1,987 @@
+"""
+    pygments.formatters.html
+    ~~~~~~~~~~~~~~~~~~~~~~~~
+
+    Formatter for HTML output.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+import functools
+import os
+import sys
+import os.path
+from io import StringIO
+
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.token import Token, Text, STANDARD_TYPES
+from pip._vendor.pygments.util import get_bool_opt, get_int_opt, get_list_opt
+
+try:
+    import ctags
+except ImportError:
+    ctags = None
+
+__all__ = ['HtmlFormatter']
+
+
+_escape_html_table = {
+    ord('&'): '&',
+    ord('<'): '&lt;',
+    ord('>'): '&gt;',
+    ord('"'): '&quot;',
+    ord("'"): '&#39;',
+}
+
+
+def escape_html(text, table=_escape_html_table):
+    """Escape &, <, > as well as single and double quotes for HTML."""
+    return text.translate(table)
+
+
+def webify(color):
+    if color.startswith('calc') or color.startswith('var'):
+        return color
+    else:
+        return '#' + color
+
+
+def _get_ttype_class(ttype):
+    fname = STANDARD_TYPES.get(ttype)
+    if fname:
+        return fname
+    aname = ''
+    while fname is None:
+        aname = '-' + ttype[-1] + aname
+        ttype = ttype.parent
+        fname = STANDARD_TYPES.get(ttype)
+    return fname + aname
+
+
+CSSFILE_TEMPLATE = '''\
+/*
+generated by Pygments <https://pygments.org/>
+Copyright 2006-2024 by the Pygments team.
+Licensed under the BSD license, see LICENSE for details.
+*/
+%(styledefs)s
+'''
+
+DOC_HEADER = '''\
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN"
+   "http://www.w3.org/TR/html4/strict.dtd">
+<!--
+generated by Pygments <https://pygments.org/>
+Copyright 2006-2024 by the Pygments team.
+Licensed under the BSD license, see LICENSE for details.
+-->
+<html>
+<head>
+  <title>%(title)s</title>
+  <meta http-equiv="content-type" content="text/html; charset=%(encoding)s">
+  <style type="text/css">
+''' + CSSFILE_TEMPLATE + '''
+  </style>
+</head>
+<body>
+<h2>%(title)s</h2>
+
+'''
+
+DOC_HEADER_EXTERNALCSS = '''\
+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN"
+   "http://www.w3.org/TR/html4/strict.dtd">
+
+<html>
+<head>
+  <title>%(title)s</title>
+  <meta http-equiv="content-type" content="text/html; charset=%(encoding)s">
+  <link rel="stylesheet" href="%(cssfile)s" type="text/css">
+</head>
+<body>
+<h2>%(title)s</h2>
+
+'''
+
+DOC_FOOTER = '''\
+</body>
+</html>
+'''
+
+
+class HtmlFormatter(Formatter):
+    r"""
+    Format tokens as HTML 4 ``<span>`` tags. By default, the content is enclosed
+    in a ``<pre>`` tag, itself wrapped in a ``<div>`` tag (but see the `nowrap` option).
+    The ``<div>``'s CSS class can be set by the `cssclass` option.
+
+    If the `linenos` option is set to ``"table"``, the ``<pre>`` is
+    additionally wrapped inside a ``<table>`` which has one row and two
+    cells: one containing the line numbers and one containing the code.
+    Example:
+
+    .. sourcecode:: html
+
+        <div class="highlight" >
+        <table><tr>
+          <td class="linenos" title="click to toggle"
+            onclick="with (this.firstChild.style)
+                     { display = (display == '') ? 'none' : '' }">
+            <pre>1
+            2</pre>
+          </td>
+          <td class="code">
+            <pre><span class="Ke">def </span><span class="NaFu">foo</span>(bar):
+              <span class="Ke">pass</span>
+            </pre>
+          </td>
+        </tr></table></div>
+
+    (whitespace added to improve clarity).
+
+    A list of lines can be specified using the `hl_lines` option to make these
+    lines highlighted (as of Pygments 0.11).
+
+    With the `full` option, a complete HTML 4 document is output, including
+    the style definitions inside a ``<style>`` tag, or in a separate file if
+    the `cssfile` option is given.
+
+    When `tagsfile` is set to the path of a ctags index file, it is used to
+    generate hyperlinks from names to their definition.  You must enable
+    `lineanchors` and run ctags with the `-n` option for this to work.  The
+    `python-ctags` module from PyPI must be installed to use this feature;
+    otherwise a `RuntimeError` will be raised.
+
+    The `get_style_defs(arg='')` method of a `HtmlFormatter` returns a string
+    containing CSS rules for the CSS classes used by the formatter. The
+    argument `arg` can be used to specify additional CSS selectors that
+    are prepended to the classes. A call `fmter.get_style_defs('td .code')`
+    would result in the following CSS classes:
+
+    .. sourcecode:: css
+
+        td .code .kw { font-weight: bold; color: #00FF00 }
+        td .code .cm { color: #999999 }
+        ...
+
+    If you have Pygments 0.6 or higher, you can also pass a list or tuple to the
+    `get_style_defs()` method to request multiple prefixes for the tokens:
+
+    .. sourcecode:: python
+
+        formatter.get_style_defs(['div.syntax pre', 'pre.syntax'])
+
+    The output would then look like this:
+
+    .. sourcecode:: css
+
+        div.syntax pre .kw,
+        pre.syntax .kw { font-weight: bold; color: #00FF00 }
+        div.syntax pre .cm,
+        pre.syntax .cm { color: #999999 }
+        ...
+
+    Additional options accepted:
+
+    `nowrap`
+        If set to ``True``, don't add a ``<pre>`` and a ``<div>`` tag
+        around the tokens. This disables most other options (default: ``False``).
+
+    `full`
+        Tells the formatter to output a "full" document, i.e. a complete
+        self-contained document (default: ``False``).
+
+    `title`
+        If `full` is true, the title that should be used to caption the
+        document (default: ``''``).
+
+    `style`
+        The style to use, can be a string or a Style subclass (default:
+        ``'default'``). This option has no effect if the `cssfile`
+        and `noclobber_cssfile` option are given and the file specified in
+        `cssfile` exists.
+
+    `noclasses`
+        If set to true, token ``<span>`` tags (as well as line number elements)
+        will not use CSS classes, but inline styles. This is not recommended
+        for larger pieces of code since it increases output size by quite a bit
+        (default: ``False``).
+
+    `classprefix`
+        Since the token types use relatively short class names, they may clash
+        with some of your own class names. In this case you can use the
+        `classprefix` option to give a string to prepend to all Pygments-generated
+        CSS class names for token types.
+        Note that this option also affects the output of `get_style_defs()`.
+
+    `cssclass`
+        CSS class for the wrapping ``<div>`` tag (default: ``'highlight'``).
+        If you set this option, the default selector for `get_style_defs()`
+        will be this class.
+
+        .. versionadded:: 0.9
+           If you select the ``'table'`` line numbers, the wrapping table will
+           have a CSS class of this string plus ``'table'``, the default is
+           accordingly ``'highlighttable'``.
+
+    `cssstyles`
+        Inline CSS styles for the wrapping ``<div>`` tag (default: ``''``).
+
+    `prestyles`
+        Inline CSS styles for the ``<pre>`` tag (default: ``''``).
+
+        .. versionadded:: 0.11
+
+    `cssfile`
+        If the `full` option is true and this option is given, it must be the
+        name of an external file. If the filename does not include an absolute
+        path, the file's path will be assumed to be relative to the main output
+        file's path, if the latter can be found. The stylesheet is then written
+        to this file instead of the HTML file.
+
+        .. versionadded:: 0.6
+
+    `noclobber_cssfile`
+        If `cssfile` is given and the specified file exists, the css file will
+        not be overwritten. This allows the use of the `full` option in
+        combination with a user specified css file. Default is ``False``.
+
+        .. versionadded:: 1.1
+
+    `linenos`
+        If set to ``'table'``, output line numbers as a table with two cells,
+        one containing the line numbers, the other the whole code.  This is
+        copy-and-paste-friendly, but may cause alignment problems with some
+        browsers or fonts.  If set to ``'inline'``, the line numbers will be
+        integrated in the ``<pre>`` tag that contains the code (that setting
+        is *new in Pygments 0.8*).
+
+        For compatibility with Pygments 0.7 and earlier, every true value
+        except ``'inline'`` means the same as ``'table'`` (in particular, that
+        means also ``True``).
+
+        The default value is ``False``, which means no line numbers at all.
+
+        **Note:** with the default ("table") line number mechanism, the line
+        numbers and code can have different line heights in Internet Explorer
+        unless you give the enclosing ``<pre>`` tags an explicit ``line-height``
+        CSS property (you get the default line spacing with ``line-height:
+        125%``).
+
+    `hl_lines`
+        Specify a list of lines to be highlighted. The line numbers are always
+        relative to the input (i.e. the first line is line 1) and are
+        independent of `linenostart`.
+
+        .. versionadded:: 0.11
+
+    `linenostart`
+        The line number for the first line (default: ``1``).
+
+    `linenostep`
+        If set to a number n > 1, only every nth line number is printed.
+
+    `linenospecial`
+        If set to a number n > 0, every nth line number is given the CSS
+        class ``"special"`` (default: ``0``).
+
+    `nobackground`
+        If set to ``True``, the formatter won't output the background color
+        for the wrapping element (this automatically defaults to ``False``
+        when there is no wrapping element [eg: no argument for the
+        `get_syntax_defs` method given]) (default: ``False``).
+
+        .. versionadded:: 0.6
+
+    `lineseparator`
+        This string is output between lines of code. It defaults to ``"\n"``,
+        which is enough to break a line inside ``<pre>`` tags, but you can
+        e.g. set it to ``"<br>"`` to get HTML line breaks.
+
+        .. versionadded:: 0.7
+
+    `lineanchors`
+        If set to a nonempty string, e.g. ``foo``, the formatter will wrap each
+        output line in an anchor tag with an ``id`` (and `name`) of ``foo-linenumber``.
+        This allows easy linking to certain lines.
+
+        .. versionadded:: 0.9
+
+    `linespans`
+        If set to a nonempty string, e.g. ``foo``, the formatter will wrap each
+        output line in a span tag with an ``id`` of ``foo-linenumber``.
+        This allows easy access to lines via javascript.
+
+        .. versionadded:: 1.6
+
+    `anchorlinenos`
+        If set to `True`, will wrap line numbers in <a> tags. Used in
+        combination with `linenos` and `lineanchors`.
+
+    `tagsfile`
+        If set to the path of a ctags file, wrap names in anchor tags that
+        link to their definitions. `lineanchors` should be used, and the
+        tags file should specify line numbers (see the `-n` option to ctags).
+        The tags file is assumed to be encoded in UTF-8.
+
+        .. versionadded:: 1.6
+
+    `tagurlformat`
+        A string formatting pattern used to generate links to ctags definitions.
+        Available variables are `%(path)s`, `%(fname)s` and `%(fext)s`.
+        Defaults to an empty string, resulting in just `#prefix-number` links.
+
+        .. versionadded:: 1.6
+
+    `filename`
+        A string used to generate a filename when rendering ``<pre>`` blocks,
+        for example if displaying source code. If `linenos` is set to
+        ``'table'`` then the filename will be rendered in an initial row
+        containing a single `<th>` which spans both columns.
+
+        .. versionadded:: 2.1
+
+    `wrapcode`
+        Wrap the code inside ``<pre>`` blocks using ``<code>``, as recommended
+        by the HTML5 specification.
+
+        .. versionadded:: 2.4
+
+    `debug_token_types`
+        Add ``title`` attributes to all token ``<span>`` tags that show the
+        name of the token.
+
+        .. versionadded:: 2.10
+
+
+    **Subclassing the HTML formatter**
+
+    .. versionadded:: 0.7
+
+    The HTML formatter is now built in a way that allows easy subclassing, thus
+    customizing the output HTML code. The `format()` method calls
+    `self._format_lines()` which returns a generator that yields tuples of ``(1,
+    line)``, where the ``1`` indicates that the ``line`` is a line of the
+    formatted source code.
+
+    If the `nowrap` option is set, the generator is the iterated over and the
+    resulting HTML is output.
+
+    Otherwise, `format()` calls `self.wrap()`, which wraps the generator with
+    other generators. These may add some HTML code to the one generated by
+    `_format_lines()`, either by modifying the lines generated by the latter,
+    then yielding them again with ``(1, line)``, and/or by yielding other HTML
+    code before or after the lines, with ``(0, html)``. The distinction between
+    source lines and other code makes it possible to wrap the generator multiple
+    times.
+
+    The default `wrap()` implementation adds a ``<div>`` and a ``<pre>`` tag.
+
+    A custom `HtmlFormatter` subclass could look like this:
+
+    .. sourcecode:: python
+
+        class CodeHtmlFormatter(HtmlFormatter):
+
+            def wrap(self, source, *, include_div):
+                return self._wrap_code(source)
+
+            def _wrap_code(self, source):
+                yield 0, '<code>'
+                for i, t in source:
+                    if i == 1:
+                        # it's a line of formatted code
+                        t += '<br>'
+                    yield i, t
+                yield 0, '</code>'
+
+    This results in wrapping the formatted lines with a ``<code>`` tag, where the
+    source lines are broken using ``<br>`` tags.
+
+    After calling `wrap()`, the `format()` method also adds the "line numbers"
+    and/or "full document" wrappers if the respective options are set. Then, all
+    HTML yielded by the wrapped generator is output.
+    """
+
+    name = 'HTML'
+    aliases = ['html']
+    filenames = ['*.html', '*.htm']
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+        self.title = self._decodeifneeded(self.title)
+        self.nowrap = get_bool_opt(options, 'nowrap', False)
+        self.noclasses = get_bool_opt(options, 'noclasses', False)
+        self.classprefix = options.get('classprefix', '')
+        self.cssclass = self._decodeifneeded(options.get('cssclass', 'highlight'))
+        self.cssstyles = self._decodeifneeded(options.get('cssstyles', ''))
+        self.prestyles = self._decodeifneeded(options.get('prestyles', ''))
+        self.cssfile = self._decodeifneeded(options.get('cssfile', ''))
+        self.noclobber_cssfile = get_bool_opt(options, 'noclobber_cssfile', False)
+        self.tagsfile = self._decodeifneeded(options.get('tagsfile', ''))
+        self.tagurlformat = self._decodeifneeded(options.get('tagurlformat', ''))
+        self.filename = self._decodeifneeded(options.get('filename', ''))
+        self.wrapcode = get_bool_opt(options, 'wrapcode', False)
+        self.span_element_openers = {}
+        self.debug_token_types = get_bool_opt(options, 'debug_token_types', False)
+
+        if self.tagsfile:
+            if not ctags:
+                raise RuntimeError('The "ctags" package must to be installed '
+                                   'to be able to use the "tagsfile" feature.')
+            self._ctags = ctags.CTags(self.tagsfile)
+
+        linenos = options.get('linenos', False)
+        if linenos == 'inline':
+            self.linenos = 2
+        elif linenos:
+            # compatibility with <= 0.7
+            self.linenos = 1
+        else:
+            self.linenos = 0
+        self.linenostart = abs(get_int_opt(options, 'linenostart', 1))
+        self.linenostep = abs(get_int_opt(options, 'linenostep', 1))
+        self.linenospecial = abs(get_int_opt(options, 'linenospecial', 0))
+        self.nobackground = get_bool_opt(options, 'nobackground', False)
+        self.lineseparator = options.get('lineseparator', '\n')
+        self.lineanchors = options.get('lineanchors', '')
+        self.linespans = options.get('linespans', '')
+        self.anchorlinenos = get_bool_opt(options, 'anchorlinenos', False)
+        self.hl_lines = set()
+        for lineno in get_list_opt(options, 'hl_lines', []):
+            try:
+                self.hl_lines.add(int(lineno))
+            except ValueError:
+                pass
+
+        self._create_stylesheet()
+
+    def _get_css_class(self, ttype):
+        """Return the css class of this token type prefixed with
+        the classprefix option."""
+        ttypeclass = _get_ttype_class(ttype)
+        if ttypeclass:
+            return self.classprefix + ttypeclass
+        return ''
+
+    def _get_css_classes(self, ttype):
+        """Return the CSS classes of this token type prefixed with the classprefix option."""
+        cls = self._get_css_class(ttype)
+        while ttype not in STANDARD_TYPES:
+            ttype = ttype.parent
+            cls = self._get_css_class(ttype) + ' ' + cls
+        return cls or ''
+
+    def _get_css_inline_styles(self, ttype):
+        """Return the inline CSS styles for this token type."""
+        cclass = self.ttype2class.get(ttype)
+        while cclass is None:
+            ttype = ttype.parent
+            cclass = self.ttype2class.get(ttype)
+        return cclass or ''
+
+    def _create_stylesheet(self):
+        t2c = self.ttype2class = {Token: ''}
+        c2s = self.class2style = {}
+        for ttype, ndef in self.style:
+            name = self._get_css_class(ttype)
+            style = ''
+            if ndef['color']:
+                style += 'color: {}; '.format(webify(ndef['color']))
+            if ndef['bold']:
+                style += 'font-weight: bold; '
+            if ndef['italic']:
+                style += 'font-style: italic; '
+            if ndef['underline']:
+                style += 'text-decoration: underline; '
+            if ndef['bgcolor']:
+                style += 'background-color: {}; '.format(webify(ndef['bgcolor']))
+            if ndef['border']:
+                style += 'border: 1px solid {}; '.format(webify(ndef['border']))
+            if style:
+                t2c[ttype] = name
+                # save len(ttype) to enable ordering the styles by
+                # hierarchy (necessary for CSS cascading rules!)
+                c2s[name] = (style[:-2], ttype, len(ttype))
+
+    def get_style_defs(self, arg=None):
+        """
+        Return CSS style definitions for the classes produced by the current
+        highlighting style. ``arg`` can be a string or list of selectors to
+        insert before the token type classes.
+        """
+        style_lines = []
+
+        style_lines.extend(self.get_linenos_style_defs())
+        style_lines.extend(self.get_background_style_defs(arg))
+        style_lines.extend(self.get_token_style_defs(arg))
+
+        return '\n'.join(style_lines)
+
+    def get_token_style_defs(self, arg=None):
+        prefix = self.get_css_prefix(arg)
+
+        styles = [
+            (level, ttype, cls, style)
+            for cls, (style, ttype, level) in self.class2style.items()
+            if cls and style
+        ]
+        styles.sort()
+
+        lines = [
+            f'{prefix(cls)} {{ {style} }} /* {repr(ttype)[6:]} */'
+            for (level, ttype, cls, style) in styles
+        ]
+
+        return lines
+
+    def get_background_style_defs(self, arg=None):
+        prefix = self.get_css_prefix(arg)
+        bg_color = self.style.background_color
+        hl_color = self.style.highlight_color
+
+        lines = []
+
+        if arg and not self.nobackground and bg_color is not None:
+            text_style = ''
+            if Text in self.ttype2class:
+                text_style = ' ' + self.class2style[self.ttype2class[Text]][0]
+            lines.insert(
+                0, '{}{{ background: {};{} }}'.format(
+                    prefix(''), bg_color, text_style
+                )
+            )
+        if hl_color is not None:
+            lines.insert(
+                0, '{} {{ background-color: {} }}'.format(prefix('hll'), hl_color)
+            )
+
+        return lines
+
+    def get_linenos_style_defs(self):
+        lines = [
+            f'pre {{ {self._pre_style} }}',
+            f'td.linenos .normal {{ {self._linenos_style} }}',
+            f'span.linenos {{ {self._linenos_style} }}',
+            f'td.linenos .special {{ {self._linenos_special_style} }}',
+            f'span.linenos.special {{ {self._linenos_special_style} }}',
+        ]
+
+        return lines
+
+    def get_css_prefix(self, arg):
+        if arg is None:
+            arg = ('cssclass' in self.options and '.'+self.cssclass or '')
+        if isinstance(arg, str):
+            args = [arg]
+        else:
+            args = list(arg)
+
+        def prefix(cls):
+            if cls:
+                cls = '.' + cls
+            tmp = []
+            for arg in args:
+                tmp.append((arg and arg + ' ' or '') + cls)
+            return ', '.join(tmp)
+
+        return prefix
+
+    @property
+    def _pre_style(self):
+        return 'line-height: 125%;'
+
+    @property
+    def _linenos_style(self):
+        color = self.style.line_number_color
+        background_color = self.style.line_number_background_color
+        return f'color: {color}; background-color: {background_color}; padding-left: 5px; padding-right: 5px;'
+
+    @property
+    def _linenos_special_style(self):
+        color = self.style.line_number_special_color
+        background_color = self.style.line_number_special_background_color
+        return f'color: {color}; background-color: {background_color}; padding-left: 5px; padding-right: 5px;'
+
+    def _decodeifneeded(self, value):
+        if isinstance(value, bytes):
+            if self.encoding:
+                return value.decode(self.encoding)
+            return value.decode()
+        return value
+
+    def _wrap_full(self, inner, outfile):
+        if self.cssfile:
+            if os.path.isabs(self.cssfile):
+                # it's an absolute filename
+                cssfilename = self.cssfile
+            else:
+                try:
+                    filename = outfile.name
+                    if not filename or filename[0] == '<':
+                        # pseudo files, e.g. name == '<fdopen>'
+                        raise AttributeError
+                    cssfilename = os.path.join(os.path.dirname(filename),
+                                               self.cssfile)
+                except AttributeError:
+                    print('Note: Cannot determine output file name, '
+                          'using current directory as base for the CSS file name',
+                          file=sys.stderr)
+                    cssfilename = self.cssfile
+            # write CSS file only if noclobber_cssfile isn't given as an option.
+            try:
+                if not os.path.exists(cssfilename) or not self.noclobber_cssfile:
+                    with open(cssfilename, "w", encoding="utf-8") as cf:
+                        cf.write(CSSFILE_TEMPLATE %
+                                 {'styledefs': self.get_style_defs('body')})
+            except OSError as err:
+                err.strerror = 'Error writing CSS file: ' + err.strerror
+                raise
+
+            yield 0, (DOC_HEADER_EXTERNALCSS %
+                      dict(title=self.title,
+                           cssfile=self.cssfile,
+                           encoding=self.encoding))
+        else:
+            yield 0, (DOC_HEADER %
+                      dict(title=self.title,
+                           styledefs=self.get_style_defs('body'),
+                           encoding=self.encoding))
+
+        yield from inner
+        yield 0, DOC_FOOTER
+
+    def _wrap_tablelinenos(self, inner):
+        dummyoutfile = StringIO()
+        lncount = 0
+        for t, line in inner:
+            if t:
+                lncount += 1
+            dummyoutfile.write(line)
+
+        fl = self.linenostart
+        mw = len(str(lncount + fl - 1))
+        sp = self.linenospecial
+        st = self.linenostep
+        anchor_name = self.lineanchors or self.linespans
+        aln = self.anchorlinenos
+        nocls = self.noclasses
+
+        lines = []
+
+        for i in range(fl, fl+lncount):
+            print_line = i % st == 0
+            special_line = sp and i % sp == 0
+
+            if print_line:
+                line = '%*d' % (mw, i)
+                if aln:
+                    line = '<a href="#%s-%d">%s</a>' % (anchor_name, i, line)
+            else:
+                line = ' ' * mw
+
+            if nocls:
+                if special_line:
+                    style = f' style="{self._linenos_special_style}"'
+                else:
+                    style = f' style="{self._linenos_style}"'
+            else:
+                if special_line:
+                    style = ' class="special"'
+                else:
+                    style = ' class="normal"'
+
+            if style:
+                line = f'<span{style}>{line}</span>'
+
+            lines.append(line)
+
+        ls = '\n'.join(lines)
+
+        # If a filename was specified, we can't put it into the code table as it
+        # would misalign the line numbers. Hence we emit a separate row for it.
+        filename_tr = ""
+        if self.filename:
+            filename_tr = (
+                '<tr><th colspan="2" class="filename">'
+                '<span class="filename">' + self.filename + '</span>'
+                '</th></tr>')
+
+        # in case you wonder about the seemingly redundant <div> here: since the
+        # content in the other cell also is wrapped in a div, some browsers in
+        # some configurations seem to mess up the formatting...
+        yield 0, (f'<table class="{self.cssclass}table">' + filename_tr +
+            '<tr><td class="linenos"><div class="linenodiv"><pre>' +
+            ls + '</pre></div></td><td class="code">')
+        yield 0, '<div>'
+        yield 0, dummyoutfile.getvalue()
+        yield 0, '</div>'
+        yield 0, '</td></tr></table>'
+
+
+    def _wrap_inlinelinenos(self, inner):
+        # need a list of lines since we need the width of a single number :(
+        inner_lines = list(inner)
+        sp = self.linenospecial
+        st = self.linenostep
+        num = self.linenostart
+        mw = len(str(len(inner_lines) + num - 1))
+        anchor_name = self.lineanchors or self.linespans
+        aln = self.anchorlinenos
+        nocls = self.noclasses
+
+        for _, inner_line in inner_lines:
+            print_line = num % st == 0
+            special_line = sp and num % sp == 0
+
+            if print_line:
+                line = '%*d' % (mw, num)
+            else:
+                line = ' ' * mw
+
+            if nocls:
+                if special_line:
+                    style = f' style="{self._linenos_special_style}"'
+                else:
+                    style = f' style="{self._linenos_style}"'
+            else:
+                if special_line:
+                    style = ' class="linenos special"'
+                else:
+                    style = ' class="linenos"'
+
+            if style:
+                linenos = f'<span{style}>{line}</span>'
+            else:
+                linenos = line
+
+            if aln:
+                yield 1, ('<a href="#%s-%d">%s</a>' % (anchor_name, num, linenos) +
+                          inner_line)
+            else:
+                yield 1, linenos + inner_line
+            num += 1
+
+    def _wrap_lineanchors(self, inner):
+        s = self.lineanchors
+        # subtract 1 since we have to increment i *before* yielding
+        i = self.linenostart - 1
+        for t, line in inner:
+            if t:
+                i += 1
+                href = "" if self.linenos else ' href="#%s-%d"' % (s, i)
+                yield 1, '<a id="%s-%d" name="%s-%d"%s></a>' % (s, i, s, i, href) + line
+            else:
+                yield 0, line
+
+    def _wrap_linespans(self, inner):
+        s = self.linespans
+        i = self.linenostart - 1
+        for t, line in inner:
+            if t:
+                i += 1
+                yield 1, '<span id="%s-%d">%s</span>' % (s, i, line)
+            else:
+                yield 0, line
+
+    def _wrap_div(self, inner):
+        style = []
+        if (self.noclasses and not self.nobackground and
+                self.style.background_color is not None):
+            style.append(f'background: {self.style.background_color}')
+        if self.cssstyles:
+            style.append(self.cssstyles)
+        style = '; '.join(style)
+
+        yield 0, ('<div' + (self.cssclass and f' class="{self.cssclass}"') +
+                  (style and (f' style="{style}"')) + '>')
+        yield from inner
+        yield 0, '</div>\n'
+
+    def _wrap_pre(self, inner):
+        style = []
+        if self.prestyles:
+            style.append(self.prestyles)
+        if self.noclasses:
+            style.append(self._pre_style)
+        style = '; '.join(style)
+
+        if self.filename and self.linenos != 1:
+            yield 0, ('<span class="filename">' + self.filename + '</span>')
+
+        # the empty span here is to keep leading empty lines from being
+        # ignored by HTML parsers
+        yield 0, ('<pre' + (style and f' style="{style}"') + '><span></span>')
+        yield from inner
+        yield 0, '</pre>'
+
+    def _wrap_code(self, inner):
+        yield 0, '<code>'
+        yield from inner
+        yield 0, '</code>'
+
+    @functools.lru_cache(maxsize=100)
+    def _translate_parts(self, value):
+        """HTML-escape a value and split it by newlines."""
+        return value.translate(_escape_html_table).split('\n')
+
+    def _format_lines(self, tokensource):
+        """
+        Just format the tokens, without any wrapping tags.
+        Yield individual lines.
+        """
+        nocls = self.noclasses
+        lsep = self.lineseparator
+        tagsfile = self.tagsfile
+
+        lspan = ''
+        line = []
+        for ttype, value in tokensource:
+            try:
+                cspan = self.span_element_openers[ttype]
+            except KeyError:
+                title = ' title="{}"'.format('.'.join(ttype)) if self.debug_token_types else ''
+                if nocls:
+                    css_style = self._get_css_inline_styles(ttype)
+                    if css_style:
+                        css_style = self.class2style[css_style][0]
+                        cspan = f'<span style="{css_style}"{title}>'
+                    else:
+                        cspan = ''
+                else:
+                    css_class = self._get_css_classes(ttype)
+                    if css_class:
+                        cspan = f'<span class="{css_class}"{title}>'
+                    else:
+                        cspan = ''
+                self.span_element_openers[ttype] = cspan
+
+            parts = self._translate_parts(value)
+
+            if tagsfile and ttype in Token.Name:
+                filename, linenumber = self._lookup_ctag(value)
+                if linenumber:
+                    base, filename = os.path.split(filename)
+                    if base:
+                        base += '/'
+                    filename, extension = os.path.splitext(filename)
+                    url = self.tagurlformat % {'path': base, 'fname': filename,
+                                               'fext': extension}
+                    parts[0] = "<a href=\"%s#%s-%d\">%s" % \
+                        (url, self.lineanchors, linenumber, parts[0])
+                    parts[-1] = parts[-1] + "</a>"
+
+            # for all but the last line
+            for part in parts[:-1]:
+                if line:
+                    # Also check for part being non-empty, so we avoid creating
+                    # empty <span> tags
+                    if lspan != cspan and part:
+                        line.extend(((lspan and '</span>'), cspan, part,
+                                     (cspan and '</span>'), lsep))
+                    else:  # both are the same, or the current part was empty
+                        line.extend((part, (lspan and '</span>'), lsep))
+                    yield 1, ''.join(line)
+                    line = []
+                elif part:
+                    yield 1, ''.join((cspan, part, (cspan and '</span>'), lsep))
+                else:
+                    yield 1, lsep
+            # for the last line
+            if line and parts[-1]:
+                if lspan != cspan:
+                    line.extend(((lspan and '</span>'), cspan, parts[-1]))
+                    lspan = cspan
+                else:
+                    line.append(parts[-1])
+            elif parts[-1]:
+                line = [cspan, parts[-1]]
+                lspan = cspan
+            # else we neither have to open a new span nor set lspan
+
+        if line:
+            line.extend(((lspan and '</span>'), lsep))
+            yield 1, ''.join(line)
+
+    def _lookup_ctag(self, token):
+        entry = ctags.TagEntry()
+        if self._ctags.find(entry, token.encode(), 0):
+            return entry['file'].decode(), entry['lineNumber']
+        else:
+            return None, None
+
+    def _highlight_lines(self, tokensource):
+        """
+        Highlighted the lines specified in the `hl_lines` option by
+        post-processing the token stream coming from `_format_lines`.
+        """
+        hls = self.hl_lines
+
+        for i, (t, value) in enumerate(tokensource):
+            if t != 1:
+                yield t, value
+            if i + 1 in hls:  # i + 1 because Python indexes start at 0
+                if self.noclasses:
+                    style = ''
+                    if self.style.highlight_color is not None:
+                        style = (f' style="background-color: {self.style.highlight_color}"')
+                    yield 1, f'<span{style}>{value}</span>'
+                else:
+                    yield 1, f'<span class="hll">{value}</span>'
+            else:
+                yield 1, value
+
+    def wrap(self, source):
+        """
+        Wrap the ``source``, which is a generator yielding
+        individual lines, in custom generators. See docstring
+        for `format`. Can be overridden.
+        """
+
+        output = source
+        if self.wrapcode:
+            output = self._wrap_code(output)
+
+        output = self._wrap_pre(output)
+
+        return output
+
+    def format_unencoded(self, tokensource, outfile):
+        """
+        The formatting process uses several nested generators; which of
+        them are used is determined by the user's options.
+
+        Each generator should take at least one argument, ``inner``,
+        and wrap the pieces of text generated by this.
+
+        Always yield 2-tuples: (code, text). If "code" is 1, the text
+        is part of the original tokensource being highlighted, if it's
+        0, the text is some piece of wrapping. This makes it possible to
+        use several different wrappers that process the original source
+        linewise, e.g. line number generators.
+        """
+        source = self._format_lines(tokensource)
+
+        # As a special case, we wrap line numbers before line highlighting
+        # so the line numbers get wrapped in the highlighting tag.
+        if not self.nowrap and self.linenos == 2:
+            source = self._wrap_inlinelinenos(source)
+
+        if self.hl_lines:
+            source = self._highlight_lines(source)
+
+        if not self.nowrap:
+            if self.lineanchors:
+                source = self._wrap_lineanchors(source)
+            if self.linespans:
+                source = self._wrap_linespans(source)
+            source = self.wrap(source)
+            if self.linenos == 1:
+                source = self._wrap_tablelinenos(source)
+            source = self._wrap_div(source)
+            if self.full:
+                source = self._wrap_full(source, outfile)
+
+        for t, piece in source:
+            outfile.write(piece)
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/img.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/img.py
new file mode 100644
index 0000000000000000000000000000000000000000..7542cfad9dac883c7ab256114505846625ab7c03
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/img.py
@@ -0,0 +1,685 @@
+"""
+    pygments.formatters.img
+    ~~~~~~~~~~~~~~~~~~~~~~~
+
+    Formatter for Pixmap output.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+import os
+import sys
+
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.util import get_bool_opt, get_int_opt, get_list_opt, \
+    get_choice_opt
+
+import subprocess
+
+# Import this carefully
+try:
+    from PIL import Image, ImageDraw, ImageFont
+    pil_available = True
+except ImportError:
+    pil_available = False
+
+try:
+    import _winreg
+except ImportError:
+    try:
+        import winreg as _winreg
+    except ImportError:
+        _winreg = None
+
+__all__ = ['ImageFormatter', 'GifImageFormatter', 'JpgImageFormatter',
+           'BmpImageFormatter']
+
+
+# For some unknown reason every font calls it something different
+STYLES = {
+    'NORMAL':     ['', 'Roman', 'Book', 'Normal', 'Regular', 'Medium'],
+    'ITALIC':     ['Oblique', 'Italic'],
+    'BOLD':       ['Bold'],
+    'BOLDITALIC': ['Bold Oblique', 'Bold Italic'],
+}
+
+# A sane default for modern systems
+DEFAULT_FONT_NAME_NIX = 'DejaVu Sans Mono'
+DEFAULT_FONT_NAME_WIN = 'Courier New'
+DEFAULT_FONT_NAME_MAC = 'Menlo'
+
+
+class PilNotAvailable(ImportError):
+    """When Python imaging library is not available"""
+
+
+class FontNotFound(Exception):
+    """When there are no usable fonts specified"""
+
+
+class FontManager:
+    """
+    Manages a set of fonts: normal, italic, bold, etc...
+    """
+
+    def __init__(self, font_name, font_size=14):
+        self.font_name = font_name
+        self.font_size = font_size
+        self.fonts = {}
+        self.encoding = None
+        self.variable = False
+        if hasattr(font_name, 'read') or os.path.isfile(font_name):
+            font = ImageFont.truetype(font_name, self.font_size)
+            self.variable = True
+            for style in STYLES:
+                self.fonts[style] = font
+
+            return
+
+        if sys.platform.startswith('win'):
+            if not font_name:
+                self.font_name = DEFAULT_FONT_NAME_WIN
+            self._create_win()
+        elif sys.platform.startswith('darwin'):
+            if not font_name:
+                self.font_name = DEFAULT_FONT_NAME_MAC
+            self._create_mac()
+        else:
+            if not font_name:
+                self.font_name = DEFAULT_FONT_NAME_NIX
+            self._create_nix()
+
+    def _get_nix_font_path(self, name, style):
+        proc = subprocess.Popen(['fc-list', f"{name}:style={style}", 'file'],
+                                stdout=subprocess.PIPE, stderr=None)
+        stdout, _ = proc.communicate()
+        if proc.returncode == 0:
+            lines = stdout.splitlines()
+            for line in lines:
+                if line.startswith(b'Fontconfig warning:'):
+                    continue
+                path = line.decode().strip().strip(':')
+                if path:
+                    return path
+            return None
+
+    def _create_nix(self):
+        for name in STYLES['NORMAL']:
+            path = self._get_nix_font_path(self.font_name, name)
+            if path is not None:
+                self.fonts['NORMAL'] = ImageFont.truetype(path, self.font_size)
+                break
+        else:
+            raise FontNotFound(f'No usable fonts named: "{self.font_name}"')
+        for style in ('ITALIC', 'BOLD', 'BOLDITALIC'):
+            for stylename in STYLES[style]:
+                path = self._get_nix_font_path(self.font_name, stylename)
+                if path is not None:
+                    self.fonts[style] = ImageFont.truetype(path, self.font_size)
+                    break
+            else:
+                if style == 'BOLDITALIC':
+                    self.fonts[style] = self.fonts['BOLD']
+                else:
+                    self.fonts[style] = self.fonts['NORMAL']
+
+    def _get_mac_font_path(self, font_map, name, style):
+        return font_map.get((name + ' ' + style).strip().lower())
+
+    def _create_mac(self):
+        font_map = {}
+        for font_dir in (os.path.join(os.getenv("HOME"), 'Library/Fonts/'),
+                         '/Library/Fonts/', '/System/Library/Fonts/'):
+            font_map.update(
+                (os.path.splitext(f)[0].lower(), os.path.join(font_dir, f))
+                for f in os.listdir(font_dir)
+                if f.lower().endswith(('ttf', 'ttc')))
+
+        for name in STYLES['NORMAL']:
+            path = self._get_mac_font_path(font_map, self.font_name, name)
+            if path is not None:
+                self.fonts['NORMAL'] = ImageFont.truetype(path, self.font_size)
+                break
+        else:
+            raise FontNotFound(f'No usable fonts named: "{self.font_name}"')
+        for style in ('ITALIC', 'BOLD', 'BOLDITALIC'):
+            for stylename in STYLES[style]:
+                path = self._get_mac_font_path(font_map, self.font_name, stylename)
+                if path is not None:
+                    self.fonts[style] = ImageFont.truetype(path, self.font_size)
+                    break
+            else:
+                if style == 'BOLDITALIC':
+                    self.fonts[style] = self.fonts['BOLD']
+                else:
+                    self.fonts[style] = self.fonts['NORMAL']
+
+    def _lookup_win(self, key, basename, styles, fail=False):
+        for suffix in ('', ' (TrueType)'):
+            for style in styles:
+                try:
+                    valname = '{}{}{}'.format(basename, style and ' '+style, suffix)
+                    val, _ = _winreg.QueryValueEx(key, valname)
+                    return val
+                except OSError:
+                    continue
+        else:
+            if fail:
+                raise FontNotFound(f'Font {basename} ({styles[0]}) not found in registry')
+            return None
+
+    def _create_win(self):
+        lookuperror = None
+        keynames = [ (_winreg.HKEY_CURRENT_USER, r'Software\Microsoft\Windows NT\CurrentVersion\Fonts'),
+                     (_winreg.HKEY_CURRENT_USER, r'Software\Microsoft\Windows\CurrentVersion\Fonts'),
+                     (_winreg.HKEY_LOCAL_MACHINE, r'Software\Microsoft\Windows NT\CurrentVersion\Fonts'),
+                     (_winreg.HKEY_LOCAL_MACHINE, r'Software\Microsoft\Windows\CurrentVersion\Fonts') ]
+        for keyname in keynames:
+            try:
+                key = _winreg.OpenKey(*keyname)
+                try:
+                    path = self._lookup_win(key, self.font_name, STYLES['NORMAL'], True)
+                    self.fonts['NORMAL'] = ImageFont.truetype(path, self.font_size)
+                    for style in ('ITALIC', 'BOLD', 'BOLDITALIC'):
+                        path = self._lookup_win(key, self.font_name, STYLES[style])
+                        if path:
+                            self.fonts[style] = ImageFont.truetype(path, self.font_size)
+                        else:
+                            if style == 'BOLDITALIC':
+                                self.fonts[style] = self.fonts['BOLD']
+                            else:
+                                self.fonts[style] = self.fonts['NORMAL']
+                    return
+                except FontNotFound as err:
+                    lookuperror = err
+                finally:
+                    _winreg.CloseKey(key)
+            except OSError:
+                pass
+        else:
+            # If we get here, we checked all registry keys and had no luck
+            # We can be in one of two situations now:
+            # * All key lookups failed. In this case lookuperror is None and we
+            #   will raise a generic error
+            # * At least one lookup failed with a FontNotFound error. In this
+            #   case, we will raise that as a more specific error
+            if lookuperror:
+                raise lookuperror
+            raise FontNotFound('Can\'t open Windows font registry key')
+
+    def get_char_size(self):
+        """
+        Get the character size.
+        """
+        return self.get_text_size('M')
+
+    def get_text_size(self, text):
+        """
+        Get the text size (width, height).
+        """
+        font = self.fonts['NORMAL']
+        if hasattr(font, 'getbbox'):  # Pillow >= 9.2.0
+            return font.getbbox(text)[2:4]
+        else:
+            return font.getsize(text)
+
+    def get_font(self, bold, oblique):
+        """
+        Get the font based on bold and italic flags.
+        """
+        if bold and oblique:
+            if self.variable:
+                return self.get_style('BOLDITALIC')
+
+            return self.fonts['BOLDITALIC']
+        elif bold:
+            if self.variable:
+                return self.get_style('BOLD')
+
+            return self.fonts['BOLD']
+        elif oblique:
+            if self.variable:
+                return self.get_style('ITALIC')
+
+            return self.fonts['ITALIC']
+        else:
+            if self.variable:
+                return self.get_style('NORMAL')
+
+            return self.fonts['NORMAL']
+
+    def get_style(self, style):
+        """
+        Get the specified style of the font if it is a variable font.
+        If not found, return the normal font.
+        """
+        font = self.fonts[style]
+        for style_name in STYLES[style]:
+            try:
+                font.set_variation_by_name(style_name)
+                return font
+            except ValueError:
+                pass
+            except OSError:
+                return font
+
+        return font
+
+
+class ImageFormatter(Formatter):
+    """
+    Create a PNG image from source code. This uses the Python Imaging Library to
+    generate a pixmap from the source code.
+
+    .. versionadded:: 0.10
+
+    Additional options accepted:
+
+    `image_format`
+        An image format to output to that is recognised by PIL, these include:
+
+        * "PNG" (default)
+        * "JPEG"
+        * "BMP"
+        * "GIF"
+
+    `line_pad`
+        The extra spacing (in pixels) between each line of text.
+
+        Default: 2
+
+    `font_name`
+        The font name to be used as the base font from which others, such as
+        bold and italic fonts will be generated.  This really should be a
+        monospace font to look sane.
+        If a filename or a file-like object is specified, the user must
+        provide different styles of the font.
+
+        Default: "Courier New" on Windows, "Menlo" on Mac OS, and
+                 "DejaVu Sans Mono" on \\*nix
+
+    `font_size`
+        The font size in points to be used.
+
+        Default: 14
+
+    `image_pad`
+        The padding, in pixels to be used at each edge of the resulting image.
+
+        Default: 10
+
+    `line_numbers`
+        Whether line numbers should be shown: True/False
+
+        Default: True
+
+    `line_number_start`
+        The line number of the first line.
+
+        Default: 1
+
+    `line_number_step`
+        The step used when printing line numbers.
+
+        Default: 1
+
+    `line_number_bg`
+        The background colour (in "#123456" format) of the line number bar, or
+        None to use the style background color.
+
+        Default: "#eed"
+
+    `line_number_fg`
+        The text color of the line numbers (in "#123456"-like format).
+
+        Default: "#886"
+
+    `line_number_chars`
+        The number of columns of line numbers allowable in the line number
+        margin.
+
+        Default: 2
+
+    `line_number_bold`
+        Whether line numbers will be bold: True/False
+
+        Default: False
+
+    `line_number_italic`
+        Whether line numbers will be italicized: True/False
+
+        Default: False
+
+    `line_number_separator`
+        Whether a line will be drawn between the line number area and the
+        source code area: True/False
+
+        Default: True
+
+    `line_number_pad`
+        The horizontal padding (in pixels) between the line number margin, and
+        the source code area.
+
+        Default: 6
+
+    `hl_lines`
+        Specify a list of lines to be highlighted.
+
+        .. versionadded:: 1.2
+
+        Default: empty list
+
+    `hl_color`
+        Specify the color for highlighting lines.
+
+        .. versionadded:: 1.2
+
+        Default: highlight color of the selected style
+    """
+
+    # Required by the pygments mapper
+    name = 'img'
+    aliases = ['img', 'IMG', 'png']
+    filenames = ['*.png']
+
+    unicodeoutput = False
+
+    default_image_format = 'png'
+
+    def __init__(self, **options):
+        """
+        See the class docstring for explanation of options.
+        """
+        if not pil_available:
+            raise PilNotAvailable(
+                'Python Imaging Library is required for this formatter')
+        Formatter.__init__(self, **options)
+        self.encoding = 'latin1'  # let pygments.format() do the right thing
+        # Read the style
+        self.styles = dict(self.style)
+        if self.style.background_color is None:
+            self.background_color = '#fff'
+        else:
+            self.background_color = self.style.background_color
+        # Image options
+        self.image_format = get_choice_opt(
+            options, 'image_format', ['png', 'jpeg', 'gif', 'bmp'],
+            self.default_image_format, normcase=True)
+        self.image_pad = get_int_opt(options, 'image_pad', 10)
+        self.line_pad = get_int_opt(options, 'line_pad', 2)
+        # The fonts
+        fontsize = get_int_opt(options, 'font_size', 14)
+        self.fonts = FontManager(options.get('font_name', ''), fontsize)
+        self.fontw, self.fonth = self.fonts.get_char_size()
+        # Line number options
+        self.line_number_fg = options.get('line_number_fg', '#886')
+        self.line_number_bg = options.get('line_number_bg', '#eed')
+        self.line_number_chars = get_int_opt(options,
+                                             'line_number_chars', 2)
+        self.line_number_bold = get_bool_opt(options,
+                                             'line_number_bold', False)
+        self.line_number_italic = get_bool_opt(options,
+                                               'line_number_italic', False)
+        self.line_number_pad = get_int_opt(options, 'line_number_pad', 6)
+        self.line_numbers = get_bool_opt(options, 'line_numbers', True)
+        self.line_number_separator = get_bool_opt(options,
+                                                  'line_number_separator', True)
+        self.line_number_step = get_int_opt(options, 'line_number_step', 1)
+        self.line_number_start = get_int_opt(options, 'line_number_start', 1)
+        if self.line_numbers:
+            self.line_number_width = (self.fontw * self.line_number_chars +
+                                      self.line_number_pad * 2)
+        else:
+            self.line_number_width = 0
+        self.hl_lines = []
+        hl_lines_str = get_list_opt(options, 'hl_lines', [])
+        for line in hl_lines_str:
+            try:
+                self.hl_lines.append(int(line))
+            except ValueError:
+                pass
+        self.hl_color = options.get('hl_color',
+                                    self.style.highlight_color) or '#f90'
+        self.drawables = []
+
+    def get_style_defs(self, arg=''):
+        raise NotImplementedError('The -S option is meaningless for the image '
+                                  'formatter. Use -O style=<stylename> instead.')
+
+    def _get_line_height(self):
+        """
+        Get the height of a line.
+        """
+        return self.fonth + self.line_pad
+
+    def _get_line_y(self, lineno):
+        """
+        Get the Y coordinate of a line number.
+        """
+        return lineno * self._get_line_height() + self.image_pad
+
+    def _get_char_width(self):
+        """
+        Get the width of a character.
+        """
+        return self.fontw
+
+    def _get_char_x(self, linelength):
+        """
+        Get the X coordinate of a character position.
+        """
+        return linelength + self.image_pad + self.line_number_width
+
+    def _get_text_pos(self, linelength, lineno):
+        """
+        Get the actual position for a character and line position.
+        """
+        return self._get_char_x(linelength), self._get_line_y(lineno)
+
+    def _get_linenumber_pos(self, lineno):
+        """
+        Get the actual position for the start of a line number.
+        """
+        return (self.image_pad, self._get_line_y(lineno))
+
+    def _get_text_color(self, style):
+        """
+        Get the correct color for the token from the style.
+        """
+        if style['color'] is not None:
+            fill = '#' + style['color']
+        else:
+            fill = '#000'
+        return fill
+
+    def _get_text_bg_color(self, style):
+        """
+        Get the correct background color for the token from the style.
+        """
+        if style['bgcolor'] is not None:
+            bg_color = '#' + style['bgcolor']
+        else:
+            bg_color = None
+        return bg_color
+
+    def _get_style_font(self, style):
+        """
+        Get the correct font for the style.
+        """
+        return self.fonts.get_font(style['bold'], style['italic'])
+
+    def _get_image_size(self, maxlinelength, maxlineno):
+        """
+        Get the required image size.
+        """
+        return (self._get_char_x(maxlinelength) + self.image_pad,
+                self._get_line_y(maxlineno + 0) + self.image_pad)
+
+    def _draw_linenumber(self, posno, lineno):
+        """
+        Remember a line number drawable to paint later.
+        """
+        self._draw_text(
+            self._get_linenumber_pos(posno),
+            str(lineno).rjust(self.line_number_chars),
+            font=self.fonts.get_font(self.line_number_bold,
+                                     self.line_number_italic),
+            text_fg=self.line_number_fg,
+            text_bg=None,
+        )
+
+    def _draw_text(self, pos, text, font, text_fg, text_bg):
+        """
+        Remember a single drawable tuple to paint later.
+        """
+        self.drawables.append((pos, text, font, text_fg, text_bg))
+
+    def _create_drawables(self, tokensource):
+        """
+        Create drawables for the token content.
+        """
+        lineno = charno = maxcharno = 0
+        maxlinelength = linelength = 0
+        for ttype, value in tokensource:
+            while ttype not in self.styles:
+                ttype = ttype.parent
+            style = self.styles[ttype]
+            # TODO: make sure tab expansion happens earlier in the chain.  It
+            # really ought to be done on the input, as to do it right here is
+            # quite complex.
+            value = value.expandtabs(4)
+            lines = value.splitlines(True)
+            # print lines
+            for i, line in enumerate(lines):
+                temp = line.rstrip('\n')
+                if temp:
+                    self._draw_text(
+                        self._get_text_pos(linelength, lineno),
+                        temp,
+                        font = self._get_style_font(style),
+                        text_fg = self._get_text_color(style),
+                        text_bg = self._get_text_bg_color(style),
+                    )
+                    temp_width, _ = self.fonts.get_text_size(temp)
+                    linelength += temp_width
+                    maxlinelength = max(maxlinelength, linelength)
+                    charno += len(temp)
+                    maxcharno = max(maxcharno, charno)
+                if line.endswith('\n'):
+                    # add a line for each extra line in the value
+                    linelength = 0
+                    charno = 0
+                    lineno += 1
+        self.maxlinelength = maxlinelength
+        self.maxcharno = maxcharno
+        self.maxlineno = lineno
+
+    def _draw_line_numbers(self):
+        """
+        Create drawables for the line numbers.
+        """
+        if not self.line_numbers:
+            return
+        for p in range(self.maxlineno):
+            n = p + self.line_number_start
+            if (n % self.line_number_step) == 0:
+                self._draw_linenumber(p, n)
+
+    def _paint_line_number_bg(self, im):
+        """
+        Paint the line number background on the image.
+        """
+        if not self.line_numbers:
+            return
+        if self.line_number_fg is None:
+            return
+        draw = ImageDraw.Draw(im)
+        recth = im.size[-1]
+        rectw = self.image_pad + self.line_number_width - self.line_number_pad
+        draw.rectangle([(0, 0), (rectw, recth)],
+                       fill=self.line_number_bg)
+        if self.line_number_separator:
+            draw.line([(rectw, 0), (rectw, recth)], fill=self.line_number_fg)
+        del draw
+
+    def format(self, tokensource, outfile):
+        """
+        Format ``tokensource``, an iterable of ``(tokentype, tokenstring)``
+        tuples and write it into ``outfile``.
+
+        This implementation calculates where it should draw each token on the
+        pixmap, then calculates the required pixmap size and draws the items.
+        """
+        self._create_drawables(tokensource)
+        self._draw_line_numbers()
+        im = Image.new(
+            'RGB',
+            self._get_image_size(self.maxlinelength, self.maxlineno),
+            self.background_color
+        )
+        self._paint_line_number_bg(im)
+        draw = ImageDraw.Draw(im)
+        # Highlight
+        if self.hl_lines:
+            x = self.image_pad + self.line_number_width - self.line_number_pad + 1
+            recth = self._get_line_height()
+            rectw = im.size[0] - x
+            for linenumber in self.hl_lines:
+                y = self._get_line_y(linenumber - 1)
+                draw.rectangle([(x, y), (x + rectw, y + recth)],
+                               fill=self.hl_color)
+        for pos, value, font, text_fg, text_bg in self.drawables:
+            if text_bg:
+                # see deprecations https://pillow.readthedocs.io/en/stable/releasenotes/9.2.0.html#font-size-and-offset-methods
+                if hasattr(draw, 'textsize'):
+                    text_size = draw.textsize(text=value, font=font)
+                else:
+                    text_size = font.getbbox(value)[2:]
+                draw.rectangle([pos[0], pos[1], pos[0] + text_size[0], pos[1] + text_size[1]], fill=text_bg)
+            draw.text(pos, value, font=font, fill=text_fg)
+        im.save(outfile, self.image_format.upper())
+
+
+# Add one formatter per format, so that the "-f gif" option gives the correct result
+# when used in pygmentize.
+
+class GifImageFormatter(ImageFormatter):
+    """
+    Create a GIF image from source code. This uses the Python Imaging Library to
+    generate a pixmap from the source code.
+
+    .. versionadded:: 1.0
+    """
+
+    name = 'img_gif'
+    aliases = ['gif']
+    filenames = ['*.gif']
+    default_image_format = 'gif'
+
+
+class JpgImageFormatter(ImageFormatter):
+    """
+    Create a JPEG image from source code. This uses the Python Imaging Library to
+    generate a pixmap from the source code.
+
+    .. versionadded:: 1.0
+    """
+
+    name = 'img_jpg'
+    aliases = ['jpg', 'jpeg']
+    filenames = ['*.jpg']
+    default_image_format = 'jpeg'
+
+
+class BmpImageFormatter(ImageFormatter):
+    """
+    Create a bitmap image from source code. This uses the Python Imaging Library to
+    generate a pixmap from the source code.
+
+    .. versionadded:: 1.0
+    """
+
+    name = 'img_bmp'
+    aliases = ['bmp', 'bitmap']
+    filenames = ['*.bmp']
+    default_image_format = 'bmp'
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/latex.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/latex.py
new file mode 100644
index 0000000000000000000000000000000000000000..0ec9089b93743a49c9c99ab618d065e0c523e0a1
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/latex.py
@@ -0,0 +1,518 @@
+"""
+    pygments.formatters.latex
+    ~~~~~~~~~~~~~~~~~~~~~~~~~
+
+    Formatter for LaTeX fancyvrb output.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+from io import StringIO
+
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.lexer import Lexer, do_insertions
+from pip._vendor.pygments.token import Token, STANDARD_TYPES
+from pip._vendor.pygments.util import get_bool_opt, get_int_opt
+
+
+__all__ = ['LatexFormatter']
+
+
+def escape_tex(text, commandprefix):
+    return text.replace('\\', '\x00'). \
+                replace('{', '\x01'). \
+                replace('}', '\x02'). \
+                replace('\x00', rf'\{commandprefix}Zbs{{}}'). \
+                replace('\x01', rf'\{commandprefix}Zob{{}}'). \
+                replace('\x02', rf'\{commandprefix}Zcb{{}}'). \
+                replace('^', rf'\{commandprefix}Zca{{}}'). \
+                replace('_', rf'\{commandprefix}Zus{{}}'). \
+                replace('&', rf'\{commandprefix}Zam{{}}'). \
+                replace('<', rf'\{commandprefix}Zlt{{}}'). \
+                replace('>', rf'\{commandprefix}Zgt{{}}'). \
+                replace('#', rf'\{commandprefix}Zsh{{}}'). \
+                replace('%', rf'\{commandprefix}Zpc{{}}'). \
+                replace('$', rf'\{commandprefix}Zdl{{}}'). \
+                replace('-', rf'\{commandprefix}Zhy{{}}'). \
+                replace("'", rf'\{commandprefix}Zsq{{}}'). \
+                replace('"', rf'\{commandprefix}Zdq{{}}'). \
+                replace('~', rf'\{commandprefix}Zti{{}}')
+
+
+DOC_TEMPLATE = r'''
+\documentclass{%(docclass)s}
+\usepackage{fancyvrb}
+\usepackage{color}
+\usepackage[%(encoding)s]{inputenc}
+%(preamble)s
+
+%(styledefs)s
+
+\begin{document}
+
+\section*{%(title)s}
+
+%(code)s
+\end{document}
+'''
+
+## Small explanation of the mess below :)
+#
+# The previous version of the LaTeX formatter just assigned a command to
+# each token type defined in the current style.  That obviously is
+# problematic if the highlighted code is produced for a different style
+# than the style commands themselves.
+#
+# This version works much like the HTML formatter which assigns multiple
+# CSS classes to each <span> tag, from the most specific to the least
+# specific token type, thus falling back to the parent token type if one
+# is not defined.  Here, the classes are there too and use the same short
+# forms given in token.STANDARD_TYPES.
+#
+# Highlighted code now only uses one custom command, which by default is
+# \PY and selectable by the commandprefix option (and in addition the
+# escapes \PYZat, \PYZlb and \PYZrb which haven't been renamed for
+# backwards compatibility purposes).
+#
+# \PY has two arguments: the classes, separated by +, and the text to
+# render in that style.  The classes are resolved into the respective
+# style commands by magic, which serves to ignore unknown classes.
+#
+# The magic macros are:
+# * \PY@it, \PY@bf, etc. are unconditionally wrapped around the text
+#   to render in \PY@do.  Their definition determines the style.
+# * \PY@reset resets \PY@it etc. to do nothing.
+# * \PY@toks parses the list of classes, using magic inspired by the
+#   keyval package (but modified to use plusses instead of commas
+#   because fancyvrb redefines commas inside its environments).
+# * \PY@tok processes one class, calling the \PY@tok@classname command
+#   if it exists.
+# * \PY@tok@classname sets the \PY@it etc. to reflect the chosen style
+#   for its class.
+# * \PY resets the style, parses the classnames and then calls \PY@do.
+#
+# Tip: to read this code, print it out in substituted form using e.g.
+# >>> print STYLE_TEMPLATE % {'cp': 'PY'}
+
+STYLE_TEMPLATE = r'''
+\makeatletter
+\def\%(cp)s@reset{\let\%(cp)s@it=\relax \let\%(cp)s@bf=\relax%%
+    \let\%(cp)s@ul=\relax \let\%(cp)s@tc=\relax%%
+    \let\%(cp)s@bc=\relax \let\%(cp)s@ff=\relax}
+\def\%(cp)s@tok#1{\csname %(cp)s@tok@#1\endcsname}
+\def\%(cp)s@toks#1+{\ifx\relax#1\empty\else%%
+    \%(cp)s@tok{#1}\expandafter\%(cp)s@toks\fi}
+\def\%(cp)s@do#1{\%(cp)s@bc{\%(cp)s@tc{\%(cp)s@ul{%%
+    \%(cp)s@it{\%(cp)s@bf{\%(cp)s@ff{#1}}}}}}}
+\def\%(cp)s#1#2{\%(cp)s@reset\%(cp)s@toks#1+\relax+\%(cp)s@do{#2}}
+
+%(styles)s
+
+\def\%(cp)sZbs{\char`\\}
+\def\%(cp)sZus{\char`\_}
+\def\%(cp)sZob{\char`\{}
+\def\%(cp)sZcb{\char`\}}
+\def\%(cp)sZca{\char`\^}
+\def\%(cp)sZam{\char`\&}
+\def\%(cp)sZlt{\char`\<}
+\def\%(cp)sZgt{\char`\>}
+\def\%(cp)sZsh{\char`\#}
+\def\%(cp)sZpc{\char`\%%}
+\def\%(cp)sZdl{\char`\$}
+\def\%(cp)sZhy{\char`\-}
+\def\%(cp)sZsq{\char`\'}
+\def\%(cp)sZdq{\char`\"}
+\def\%(cp)sZti{\char`\~}
+%% for compatibility with earlier versions
+\def\%(cp)sZat{@}
+\def\%(cp)sZlb{[}
+\def\%(cp)sZrb{]}
+\makeatother
+'''
+
+
+def _get_ttype_name(ttype):
+    fname = STANDARD_TYPES.get(ttype)
+    if fname:
+        return fname
+    aname = ''
+    while fname is None:
+        aname = ttype[-1] + aname
+        ttype = ttype.parent
+        fname = STANDARD_TYPES.get(ttype)
+    return fname + aname
+
+
+class LatexFormatter(Formatter):
+    r"""
+    Format tokens as LaTeX code. This needs the `fancyvrb` and `color`
+    standard packages.
+
+    Without the `full` option, code is formatted as one ``Verbatim``
+    environment, like this:
+
+    .. sourcecode:: latex
+
+        \begin{Verbatim}[commandchars=\\\{\}]
+        \PY{k}{def }\PY{n+nf}{foo}(\PY{n}{bar}):
+            \PY{k}{pass}
+        \end{Verbatim}
+
+    Wrapping can be disabled using the `nowrap` option.
+
+    The special command used here (``\PY``) and all the other macros it needs
+    are output by the `get_style_defs` method.
+
+    With the `full` option, a complete LaTeX document is output, including
+    the command definitions in the preamble.
+
+    The `get_style_defs()` method of a `LatexFormatter` returns a string
+    containing ``\def`` commands defining the macros needed inside the
+    ``Verbatim`` environments.
+
+    Additional options accepted:
+
+    `nowrap`
+        If set to ``True``, don't wrap the tokens at all, not even inside a
+        ``\begin{Verbatim}`` environment. This disables most other options
+        (default: ``False``).
+
+    `style`
+        The style to use, can be a string or a Style subclass (default:
+        ``'default'``).
+
+    `full`
+        Tells the formatter to output a "full" document, i.e. a complete
+        self-contained document (default: ``False``).
+
+    `title`
+        If `full` is true, the title that should be used to caption the
+        document (default: ``''``).
+
+    `docclass`
+        If the `full` option is enabled, this is the document class to use
+        (default: ``'article'``).
+
+    `preamble`
+        If the `full` option is enabled, this can be further preamble commands,
+        e.g. ``\usepackage`` (default: ``''``).
+
+    `linenos`
+        If set to ``True``, output line numbers (default: ``False``).
+
+    `linenostart`
+        The line number for the first line (default: ``1``).
+
+    `linenostep`
+        If set to a number n > 1, only every nth line number is printed.
+
+    `verboptions`
+        Additional options given to the Verbatim environment (see the *fancyvrb*
+        docs for possible values) (default: ``''``).
+
+    `commandprefix`
+        The LaTeX commands used to produce colored output are constructed
+        using this prefix and some letters (default: ``'PY'``).
+
+        .. versionadded:: 0.7
+        .. versionchanged:: 0.10
+           The default is now ``'PY'`` instead of ``'C'``.
+
+    `texcomments`
+        If set to ``True``, enables LaTeX comment lines.  That is, LaTex markup
+        in comment tokens is not escaped so that LaTeX can render it (default:
+        ``False``).
+
+        .. versionadded:: 1.2
+
+    `mathescape`
+        If set to ``True``, enables LaTeX math mode escape in comments. That
+        is, ``'$...$'`` inside a comment will trigger math mode (default:
+        ``False``).
+
+        .. versionadded:: 1.2
+
+    `escapeinside`
+        If set to a string of length 2, enables escaping to LaTeX. Text
+        delimited by these 2 characters is read as LaTeX code and
+        typeset accordingly. It has no effect in string literals. It has
+        no effect in comments if `texcomments` or `mathescape` is
+        set. (default: ``''``).
+
+        .. versionadded:: 2.0
+
+    `envname`
+        Allows you to pick an alternative environment name replacing Verbatim.
+        The alternate environment still has to support Verbatim's option syntax.
+        (default: ``'Verbatim'``).
+
+        .. versionadded:: 2.0
+    """
+    name = 'LaTeX'
+    aliases = ['latex', 'tex']
+    filenames = ['*.tex']
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+        self.nowrap = get_bool_opt(options, 'nowrap', False)
+        self.docclass = options.get('docclass', 'article')
+        self.preamble = options.get('preamble', '')
+        self.linenos = get_bool_opt(options, 'linenos', False)
+        self.linenostart = abs(get_int_opt(options, 'linenostart', 1))
+        self.linenostep = abs(get_int_opt(options, 'linenostep', 1))
+        self.verboptions = options.get('verboptions', '')
+        self.nobackground = get_bool_opt(options, 'nobackground', False)
+        self.commandprefix = options.get('commandprefix', 'PY')
+        self.texcomments = get_bool_opt(options, 'texcomments', False)
+        self.mathescape = get_bool_opt(options, 'mathescape', False)
+        self.escapeinside = options.get('escapeinside', '')
+        if len(self.escapeinside) == 2:
+            self.left = self.escapeinside[0]
+            self.right = self.escapeinside[1]
+        else:
+            self.escapeinside = ''
+        self.envname = options.get('envname', 'Verbatim')
+
+        self._create_stylesheet()
+
+    def _create_stylesheet(self):
+        t2n = self.ttype2name = {Token: ''}
+        c2d = self.cmd2def = {}
+        cp = self.commandprefix
+
+        def rgbcolor(col):
+            if col:
+                return ','.join(['%.2f' % (int(col[i] + col[i + 1], 16) / 255.0)
+                                 for i in (0, 2, 4)])
+            else:
+                return '1,1,1'
+
+        for ttype, ndef in self.style:
+            name = _get_ttype_name(ttype)
+            cmndef = ''
+            if ndef['bold']:
+                cmndef += r'\let\$$@bf=\textbf'
+            if ndef['italic']:
+                cmndef += r'\let\$$@it=\textit'
+            if ndef['underline']:
+                cmndef += r'\let\$$@ul=\underline'
+            if ndef['roman']:
+                cmndef += r'\let\$$@ff=\textrm'
+            if ndef['sans']:
+                cmndef += r'\let\$$@ff=\textsf'
+            if ndef['mono']:
+                cmndef += r'\let\$$@ff=\textsf'
+            if ndef['color']:
+                cmndef += (r'\def\$$@tc##1{{\textcolor[rgb]{{{}}}{{##1}}}}'.format(rgbcolor(ndef['color'])))
+            if ndef['border']:
+                cmndef += (r'\def\$$@bc##1{{{{\setlength{{\fboxsep}}{{\string -\fboxrule}}'
+                           r'\fcolorbox[rgb]{{{}}}{{{}}}{{\strut ##1}}}}}}'.format(rgbcolor(ndef['border']),
+                            rgbcolor(ndef['bgcolor'])))
+            elif ndef['bgcolor']:
+                cmndef += (r'\def\$$@bc##1{{{{\setlength{{\fboxsep}}{{0pt}}'
+                           r'\colorbox[rgb]{{{}}}{{\strut ##1}}}}}}'.format(rgbcolor(ndef['bgcolor'])))
+            if cmndef == '':
+                continue
+            cmndef = cmndef.replace('$$', cp)
+            t2n[ttype] = name
+            c2d[name] = cmndef
+
+    def get_style_defs(self, arg=''):
+        """
+        Return the command sequences needed to define the commands
+        used to format text in the verbatim environment. ``arg`` is ignored.
+        """
+        cp = self.commandprefix
+        styles = []
+        for name, definition in self.cmd2def.items():
+            styles.append(rf'\@namedef{{{cp}@tok@{name}}}{{{definition}}}')
+        return STYLE_TEMPLATE % {'cp': self.commandprefix,
+                                 'styles': '\n'.join(styles)}
+
+    def format_unencoded(self, tokensource, outfile):
+        # TODO: add support for background colors
+        t2n = self.ttype2name
+        cp = self.commandprefix
+
+        if self.full:
+            realoutfile = outfile
+            outfile = StringIO()
+
+        if not self.nowrap:
+            outfile.write('\\begin{' + self.envname + '}[commandchars=\\\\\\{\\}')
+            if self.linenos:
+                start, step = self.linenostart, self.linenostep
+                outfile.write(',numbers=left' +
+                              (start and ',firstnumber=%d' % start or '') +
+                              (step and ',stepnumber=%d' % step or ''))
+            if self.mathescape or self.texcomments or self.escapeinside:
+                outfile.write(',codes={\\catcode`\\$=3\\catcode`\\^=7'
+                              '\\catcode`\\_=8\\relax}')
+            if self.verboptions:
+                outfile.write(',' + self.verboptions)
+            outfile.write(']\n')
+
+        for ttype, value in tokensource:
+            if ttype in Token.Comment:
+                if self.texcomments:
+                    # Try to guess comment starting lexeme and escape it ...
+                    start = value[0:1]
+                    for i in range(1, len(value)):
+                        if start[0] != value[i]:
+                            break
+                        start += value[i]
+
+                    value = value[len(start):]
+                    start = escape_tex(start, cp)
+
+                    # ... but do not escape inside comment.
+                    value = start + value
+                elif self.mathescape:
+                    # Only escape parts not inside a math environment.
+                    parts = value.split('$')
+                    in_math = False
+                    for i, part in enumerate(parts):
+                        if not in_math:
+                            parts[i] = escape_tex(part, cp)
+                        in_math = not in_math
+                    value = '$'.join(parts)
+                elif self.escapeinside:
+                    text = value
+                    value = ''
+                    while text:
+                        a, sep1, text = text.partition(self.left)
+                        if sep1:
+                            b, sep2, text = text.partition(self.right)
+                            if sep2:
+                                value += escape_tex(a, cp) + b
+                            else:
+                                value += escape_tex(a + sep1 + b, cp)
+                        else:
+                            value += escape_tex(a, cp)
+                else:
+                    value = escape_tex(value, cp)
+            elif ttype not in Token.Escape:
+                value = escape_tex(value, cp)
+            styles = []
+            while ttype is not Token:
+                try:
+                    styles.append(t2n[ttype])
+                except KeyError:
+                    # not in current style
+                    styles.append(_get_ttype_name(ttype))
+                ttype = ttype.parent
+            styleval = '+'.join(reversed(styles))
+            if styleval:
+                spl = value.split('\n')
+                for line in spl[:-1]:
+                    if line:
+                        outfile.write(f"\\{cp}{{{styleval}}}{{{line}}}")
+                    outfile.write('\n')
+                if spl[-1]:
+                    outfile.write(f"\\{cp}{{{styleval}}}{{{spl[-1]}}}")
+            else:
+                outfile.write(value)
+
+        if not self.nowrap:
+            outfile.write('\\end{' + self.envname + '}\n')
+
+        if self.full:
+            encoding = self.encoding or 'utf8'
+            # map known existings encodings from LaTeX distribution
+            encoding = {
+                'utf_8': 'utf8',
+                'latin_1': 'latin1',
+                'iso_8859_1': 'latin1',
+            }.get(encoding.replace('-', '_'), encoding)
+            realoutfile.write(DOC_TEMPLATE %
+                dict(docclass  = self.docclass,
+                     preamble  = self.preamble,
+                     title     = self.title,
+                     encoding  = encoding,
+                     styledefs = self.get_style_defs(),
+                     code      = outfile.getvalue()))
+
+
+class LatexEmbeddedLexer(Lexer):
+    """
+    This lexer takes one lexer as argument, the lexer for the language
+    being formatted, and the left and right delimiters for escaped text.
+
+    First everything is scanned using the language lexer to obtain
+    strings and comments. All other consecutive tokens are merged and
+    the resulting text is scanned for escaped segments, which are given
+    the Token.Escape type. Finally text that is not escaped is scanned
+    again with the language lexer.
+    """
+    def __init__(self, left, right, lang, **options):
+        self.left = left
+        self.right = right
+        self.lang = lang
+        Lexer.__init__(self, **options)
+
+    def get_tokens_unprocessed(self, text):
+        # find and remove all the escape tokens (replace with an empty string)
+        # this is very similar to DelegatingLexer.get_tokens_unprocessed.
+        buffered = ''
+        insertions = []
+        insertion_buf = []
+        for i, t, v in self._find_safe_escape_tokens(text):
+            if t is None:
+                if insertion_buf:
+                    insertions.append((len(buffered), insertion_buf))
+                    insertion_buf = []
+                buffered += v
+            else:
+                insertion_buf.append((i, t, v))
+        if insertion_buf:
+            insertions.append((len(buffered), insertion_buf))
+        return do_insertions(insertions,
+                             self.lang.get_tokens_unprocessed(buffered))
+
+    def _find_safe_escape_tokens(self, text):
+        """ find escape tokens that are not in strings or comments """
+        for i, t, v in self._filter_to(
+            self.lang.get_tokens_unprocessed(text),
+            lambda t: t in Token.Comment or t in Token.String
+        ):
+            if t is None:
+                for i2, t2, v2 in self._find_escape_tokens(v):
+                    yield i + i2, t2, v2
+            else:
+                yield i, None, v
+
+    def _filter_to(self, it, pred):
+        """ Keep only the tokens that match `pred`, merge the others together """
+        buf = ''
+        idx = 0
+        for i, t, v in it:
+            if pred(t):
+                if buf:
+                    yield idx, None, buf
+                    buf = ''
+                yield i, t, v
+            else:
+                if not buf:
+                    idx = i
+                buf += v
+        if buf:
+            yield idx, None, buf
+
+    def _find_escape_tokens(self, text):
+        """ Find escape tokens within text, give token=None otherwise """
+        index = 0
+        while text:
+            a, sep1, text = text.partition(self.left)
+            if a:
+                yield index, None, a
+                index += len(a)
+            if sep1:
+                b, sep2, text = text.partition(self.right)
+                if sep2:
+                    yield index + len(sep1), Token.Escape, b
+                    index += len(sep1) + len(b) + len(sep2)
+                else:
+                    yield index, Token.Error, sep1
+                    index += len(sep1)
+                    text = b
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/other.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/other.py
new file mode 100644
index 0000000000000000000000000000000000000000..de8d9dcf896c066e4fc8aff104c79c29e890af24
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/other.py
@@ -0,0 +1,160 @@
+"""
+    pygments.formatters.other
+    ~~~~~~~~~~~~~~~~~~~~~~~~~
+
+    Other formatters: NullFormatter, RawTokenFormatter.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.util import get_choice_opt
+from pip._vendor.pygments.token import Token
+from pip._vendor.pygments.console import colorize
+
+__all__ = ['NullFormatter', 'RawTokenFormatter', 'TestcaseFormatter']
+
+
+class NullFormatter(Formatter):
+    """
+    Output the text unchanged without any formatting.
+    """
+    name = 'Text only'
+    aliases = ['text', 'null']
+    filenames = ['*.txt']
+
+    def format(self, tokensource, outfile):
+        enc = self.encoding
+        for ttype, value in tokensource:
+            if enc:
+                outfile.write(value.encode(enc))
+            else:
+                outfile.write(value)
+
+
+class RawTokenFormatter(Formatter):
+    r"""
+    Format tokens as a raw representation for storing token streams.
+
+    The format is ``tokentype<TAB>repr(tokenstring)\n``. The output can later
+    be converted to a token stream with the `RawTokenLexer`, described in the
+    :doc:`lexer list <lexers>`.
+
+    Only two options are accepted:
+
+    `compress`
+        If set to ``'gz'`` or ``'bz2'``, compress the output with the given
+        compression algorithm after encoding (default: ``''``).
+    `error_color`
+        If set to a color name, highlight error tokens using that color.  If
+        set but with no value, defaults to ``'red'``.
+
+        .. versionadded:: 0.11
+
+    """
+    name = 'Raw tokens'
+    aliases = ['raw', 'tokens']
+    filenames = ['*.raw']
+
+    unicodeoutput = False
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+        # We ignore self.encoding if it is set, since it gets set for lexer
+        # and formatter if given with -Oencoding on the command line.
+        # The RawTokenFormatter outputs only ASCII. Override here.
+        self.encoding = 'ascii'  # let pygments.format() do the right thing
+        self.compress = get_choice_opt(options, 'compress',
+                                       ['', 'none', 'gz', 'bz2'], '')
+        self.error_color = options.get('error_color', None)
+        if self.error_color is True:
+            self.error_color = 'red'
+        if self.error_color is not None:
+            try:
+                colorize(self.error_color, '')
+            except KeyError:
+                raise ValueError(f"Invalid color {self.error_color!r} specified")
+
+    def format(self, tokensource, outfile):
+        try:
+            outfile.write(b'')
+        except TypeError:
+            raise TypeError('The raw tokens formatter needs a binary '
+                            'output file')
+        if self.compress == 'gz':
+            import gzip
+            outfile = gzip.GzipFile('', 'wb', 9, outfile)
+
+            write = outfile.write
+            flush = outfile.close
+        elif self.compress == 'bz2':
+            import bz2
+            compressor = bz2.BZ2Compressor(9)
+
+            def write(text):
+                outfile.write(compressor.compress(text))
+
+            def flush():
+                outfile.write(compressor.flush())
+                outfile.flush()
+        else:
+            write = outfile.write
+            flush = outfile.flush
+
+        if self.error_color:
+            for ttype, value in tokensource:
+                line = b"%r\t%r\n" % (ttype, value)
+                if ttype is Token.Error:
+                    write(colorize(self.error_color, line))
+                else:
+                    write(line)
+        else:
+            for ttype, value in tokensource:
+                write(b"%r\t%r\n" % (ttype, value))
+        flush()
+
+
+TESTCASE_BEFORE = '''\
+    def testNeedsName(lexer):
+        fragment = %r
+        tokens = [
+'''
+TESTCASE_AFTER = '''\
+        ]
+        assert list(lexer.get_tokens(fragment)) == tokens
+'''
+
+
+class TestcaseFormatter(Formatter):
+    """
+    Format tokens as appropriate for a new testcase.
+
+    .. versionadded:: 2.0
+    """
+    name = 'Testcase'
+    aliases = ['testcase']
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+        if self.encoding is not None and self.encoding != 'utf-8':
+            raise ValueError("Only None and utf-8 are allowed encodings.")
+
+    def format(self, tokensource, outfile):
+        indentation = ' ' * 12
+        rawbuf = []
+        outbuf = []
+        for ttype, value in tokensource:
+            rawbuf.append(value)
+            outbuf.append(f'{indentation}({ttype}, {value!r}),\n')
+
+        before = TESTCASE_BEFORE % (''.join(rawbuf),)
+        during = ''.join(outbuf)
+        after = TESTCASE_AFTER
+        if self.encoding is None:
+            outfile.write(before + during + after)
+        else:
+            outfile.write(before.encode('utf-8'))
+            outfile.write(during.encode('utf-8'))
+            outfile.write(after.encode('utf-8'))
+        outfile.flush()
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/pangomarkup.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/pangomarkup.py
new file mode 100644
index 0000000000000000000000000000000000000000..dfed53ab768d86843125b962dea7dbb0093cbd71
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/pangomarkup.py
@@ -0,0 +1,83 @@
+"""
+    pygments.formatters.pangomarkup
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+    Formatter for Pango markup output.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+from pip._vendor.pygments.formatter import Formatter
+
+
+__all__ = ['PangoMarkupFormatter']
+
+
+_escape_table = {
+    ord('&'): '&amp;',
+    ord('<'): '&lt;',
+}
+
+
+def escape_special_chars(text, table=_escape_table):
+    """Escape & and < for Pango Markup."""
+    return text.translate(table)
+
+
+class PangoMarkupFormatter(Formatter):
+    """
+    Format tokens as Pango Markup code. It can then be rendered to an SVG.
+
+    .. versionadded:: 2.9
+    """
+
+    name = 'Pango Markup'
+    aliases = ['pango', 'pangomarkup']
+    filenames = []
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+
+        self.styles = {}
+
+        for token, style in self.style:
+            start = ''
+            end = ''
+            if style['color']:
+                start += '<span fgcolor="#{}">'.format(style['color'])
+                end = '</span>' + end
+            if style['bold']:
+                start += '<b>'
+                end = '</b>' + end
+            if style['italic']:
+                start += '<i>'
+                end = '</i>' + end
+            if style['underline']:
+                start += '<u>'
+                end = '</u>' + end
+            self.styles[token] = (start, end)
+
+    def format_unencoded(self, tokensource, outfile):
+        lastval = ''
+        lasttype = None
+
+        outfile.write('<tt>')
+
+        for ttype, value in tokensource:
+            while ttype not in self.styles:
+                ttype = ttype.parent
+            if ttype == lasttype:
+                lastval += escape_special_chars(value)
+            else:
+                if lastval:
+                    stylebegin, styleend = self.styles[lasttype]
+                    outfile.write(stylebegin + lastval + styleend)
+                lastval = escape_special_chars(value)
+                lasttype = ttype
+
+        if lastval:
+            stylebegin, styleend = self.styles[lasttype]
+            outfile.write(stylebegin + lastval + styleend)
+
+        outfile.write('</tt>')
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/rtf.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/rtf.py
new file mode 100644
index 0000000000000000000000000000000000000000..eca2a41a1cd8fc681dbf00c3ebc23796f0800d29
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/rtf.py
@@ -0,0 +1,349 @@
+"""
+    pygments.formatters.rtf
+    ~~~~~~~~~~~~~~~~~~~~~~~
+
+    A formatter that generates RTF files.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+from collections import OrderedDict
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.style import _ansimap
+from pip._vendor.pygments.util import get_bool_opt, get_int_opt, get_list_opt, surrogatepair
+
+
+__all__ = ['RtfFormatter']
+
+
+class RtfFormatter(Formatter):
+    """
+    Format tokens as RTF markup. This formatter automatically outputs full RTF
+    documents with color information and other useful stuff. Perfect for Copy and
+    Paste into Microsoft(R) Word(R) documents.
+
+    Please note that ``encoding`` and ``outencoding`` options are ignored.
+    The RTF format is ASCII natively, but handles unicode characters correctly
+    thanks to escape sequences.
+
+    .. versionadded:: 0.6
+
+    Additional options accepted:
+
+    `style`
+        The style to use, can be a string or a Style subclass (default:
+        ``'default'``).
+
+    `fontface`
+        The used font family, for example ``Bitstream Vera Sans``. Defaults to
+        some generic font which is supposed to have fixed width.
+
+    `fontsize`
+        Size of the font used. Size is specified in half points. The
+        default is 24 half-points, giving a size 12 font.
+
+        .. versionadded:: 2.0
+
+    `linenos`
+        Turn on line numbering (default: ``False``).
+
+        .. versionadded:: 2.18
+
+    `lineno_fontsize`
+        Font size for line numbers. Size is specified in half points
+        (default: `fontsize`). 
+
+        .. versionadded:: 2.18
+
+    `lineno_padding`
+        Number of spaces between the (inline) line numbers and the
+        source code (default: ``2``).
+
+        .. versionadded:: 2.18
+
+    `linenostart`
+        The line number for the first line (default: ``1``).
+
+        .. versionadded:: 2.18
+
+    `linenostep`
+        If set to a number n > 1, only every nth line number is printed.
+
+        .. versionadded:: 2.18
+
+    `lineno_color`
+        Color for line numbers specified as a hex triplet, e.g. ``'5e5e5e'``. 
+        Defaults to the style's line number color if it is a hex triplet, 
+        otherwise ansi bright black.
+
+        .. versionadded:: 2.18
+
+    `hl_lines`
+        Specify a list of lines to be highlighted, as line numbers separated by
+        spaces, e.g. ``'3 7 8'``. The line numbers are relative to the input 
+        (i.e. the first line is line 1) unless `hl_linenostart` is set.
+
+        .. versionadded:: 2.18
+
+    `hl_color`
+        Color for highlighting the lines specified in `hl_lines`, specified as 
+        a hex triplet (default: style's `highlight_color`).
+
+        .. versionadded:: 2.18
+
+    `hl_linenostart`
+        If set to ``True`` line numbers in `hl_lines` are specified
+        relative to `linenostart` (default ``False``).
+
+        .. versionadded:: 2.18
+    """
+    name = 'RTF'
+    aliases = ['rtf']
+    filenames = ['*.rtf']
+
+    def __init__(self, **options):
+        r"""
+        Additional options accepted:
+
+        ``fontface``
+            Name of the font used. Could for example be ``'Courier New'``
+            to further specify the default which is ``'\fmodern'``. The RTF
+            specification claims that ``\fmodern`` are "Fixed-pitch serif
+            and sans serif fonts". Hope every RTF implementation thinks
+            the same about modern...
+
+        """
+        Formatter.__init__(self, **options)
+        self.fontface = options.get('fontface') or ''
+        self.fontsize = get_int_opt(options, 'fontsize', 0)
+        self.linenos = get_bool_opt(options, 'linenos', False)
+        self.lineno_fontsize = get_int_opt(options, 'lineno_fontsize',
+                                           self.fontsize)
+        self.lineno_padding = get_int_opt(options, 'lineno_padding', 2)
+        self.linenostart = abs(get_int_opt(options, 'linenostart', 1))
+        self.linenostep = abs(get_int_opt(options, 'linenostep', 1))
+        self.hl_linenostart = get_bool_opt(options, 'hl_linenostart', False)
+
+        self.hl_color = options.get('hl_color', '')
+        if not self.hl_color:
+            self.hl_color = self.style.highlight_color
+
+        self.hl_lines = []
+        for lineno in get_list_opt(options, 'hl_lines', []):
+            try:
+                lineno = int(lineno)
+                if self.hl_linenostart:
+                    lineno = lineno - self.linenostart + 1
+                self.hl_lines.append(lineno)
+            except ValueError:
+                pass
+
+        self.lineno_color = options.get('lineno_color', '')
+        if not self.lineno_color:
+            if  self.style.line_number_color == 'inherit':
+                # style color is the css value 'inherit'
+                # default to ansi bright-black
+                self.lineno_color = _ansimap['ansibrightblack']
+            else:
+                # style color is assumed to be a hex triplet as other
+                # colors in pygments/style.py
+                self.lineno_color = self.style.line_number_color
+
+        self.color_mapping = self._create_color_mapping()
+
+    def _escape(self, text):
+        return text.replace('\\', '\\\\') \
+                   .replace('{', '\\{') \
+                   .replace('}', '\\}')
+
+    def _escape_text(self, text):
+        # empty strings, should give a small performance improvement
+        if not text:
+            return ''
+
+        # escape text
+        text = self._escape(text)
+
+        buf = []
+        for c in text:
+            cn = ord(c)
+            if cn < (2**7):
+                # ASCII character
+                buf.append(str(c))
+            elif (2**7) <= cn < (2**16):
+                # single unicode escape sequence
+                buf.append('{\\u%d}' % cn)
+            elif (2**16) <= cn:
+                # RTF limits unicode to 16 bits.
+                # Force surrogate pairs
+                buf.append('{\\u%d}{\\u%d}' % surrogatepair(cn))
+
+        return ''.join(buf).replace('\n', '\\par')
+
+    @staticmethod
+    def hex_to_rtf_color(hex_color):
+        if hex_color[0] == "#":
+            hex_color = hex_color[1:]
+
+        return '\\red%d\\green%d\\blue%d;' % (
+                        int(hex_color[0:2], 16),
+                        int(hex_color[2:4], 16),
+                        int(hex_color[4:6], 16)
+                    )
+
+    def _split_tokens_on_newlines(self, tokensource):
+        """
+        Split tokens containing newline characters into multiple token
+        each representing a line of the input file. Needed for numbering
+        lines of e.g. multiline comments.
+        """
+        for ttype, value in tokensource:
+            if value == '\n':
+                yield (ttype, value)
+            elif "\n" in value:
+                lines = value.split("\n")
+                for line in lines[:-1]:
+                    yield (ttype, line+"\n")
+                if lines[-1]:
+                    yield (ttype, lines[-1])
+            else:
+                yield (ttype, value)
+
+    def _create_color_mapping(self):
+        """
+        Create a mapping of style hex colors to index/offset in
+        the RTF color table.
+        """
+        color_mapping = OrderedDict()
+        offset = 1
+
+        if self.linenos:
+            color_mapping[self.lineno_color] = offset
+            offset += 1
+
+        if self.hl_lines:
+            color_mapping[self.hl_color] = offset
+            offset += 1
+
+        for _, style in self.style:
+            for color in style['color'], style['bgcolor'], style['border']:
+                if color and color not in color_mapping:
+                    color_mapping[color] = offset
+                    offset += 1
+
+        return color_mapping
+
+    @property
+    def _lineno_template(self):
+        if self.lineno_fontsize != self.fontsize:
+            return '{{\\fs{} \\cf{} %s{}}}'.format(self.lineno_fontsize,
+                          self.color_mapping[self.lineno_color],
+                          " " * self.lineno_padding)
+
+        return '{{\\cf{} %s{}}}'.format(self.color_mapping[self.lineno_color],
+                      " " * self.lineno_padding)
+
+    @property
+    def _hl_open_str(self):
+        return rf'{{\highlight{self.color_mapping[self.hl_color]} '
+
+    @property
+    def _rtf_header(self):
+        lines = []
+        # rtf 1.8 header
+        lines.append('{\\rtf1\\ansi\\uc0\\deff0'
+                     '{\\fonttbl{\\f0\\fmodern\\fprq1\\fcharset0%s;}}'
+                     % (self.fontface and ' '
+                        + self._escape(self.fontface) or ''))
+
+        # color table
+        lines.append('{\\colortbl;')
+        for color, _ in self.color_mapping.items():
+            lines.append(self.hex_to_rtf_color(color))
+        lines.append('}')
+
+        # font and fontsize
+        lines.append('\\f0\\sa0')
+        if self.fontsize:
+            lines.append('\\fs%d' % self.fontsize)
+
+        # ensure Libre Office Writer imports and renders consecutive
+        # space characters the same width, needed for line numbering.
+        # https://bugs.documentfoundation.org/show_bug.cgi?id=144050
+        lines.append('\\dntblnsbdb')
+
+        return lines
+
+    def format_unencoded(self, tokensource, outfile):
+        for line in self._rtf_header:
+            outfile.write(line + "\n")
+
+        tokensource = self._split_tokens_on_newlines(tokensource)
+
+        # first pass of tokens to count lines, needed for line numbering
+        if self.linenos:
+            line_count = 0
+            tokens = [] # for copying the token source generator
+            for ttype, value in tokensource:
+                tokens.append((ttype, value))
+                if value.endswith("\n"):
+                    line_count += 1
+
+            # width of line number strings (for padding with spaces)
+            linenos_width = len(str(line_count+self.linenostart-1))
+
+            tokensource = tokens
+
+        # highlight stream
+        lineno = 1
+        start_new_line = True
+        for ttype, value in tokensource:
+            if start_new_line and lineno in self.hl_lines:
+                outfile.write(self._hl_open_str)
+
+            if start_new_line and self.linenos:
+                if (lineno-self.linenostart+1)%self.linenostep == 0:
+                    current_lineno = lineno + self.linenostart - 1
+                    lineno_str = str(current_lineno).rjust(linenos_width)
+                else:
+                    lineno_str = "".rjust(linenos_width)
+                outfile.write(self._lineno_template % lineno_str)
+
+            while not self.style.styles_token(ttype) and ttype.parent:
+                ttype = ttype.parent
+            style = self.style.style_for_token(ttype)
+            buf = []
+            if style['bgcolor']:
+                buf.append('\\cb%d' % self.color_mapping[style['bgcolor']])
+            if style['color']:
+                buf.append('\\cf%d' % self.color_mapping[style['color']])
+            if style['bold']:
+                buf.append('\\b')
+            if style['italic']:
+                buf.append('\\i')
+            if style['underline']:
+                buf.append('\\ul')
+            if style['border']:
+                buf.append('\\chbrdr\\chcfpat%d' %
+                           self.color_mapping[style['border']])
+            start = ''.join(buf)
+            if start:
+                outfile.write(f'{{{start} ')
+            outfile.write(self._escape_text(value))
+            if start:
+                outfile.write('}')
+            start_new_line = False
+
+            # complete line of input
+            if value.endswith("\n"):
+                # close line highlighting
+                if lineno in self.hl_lines:
+                    outfile.write('}')
+                # newline in RTF file after closing }
+                outfile.write("\n")
+
+                start_new_line = True
+                lineno += 1
+
+        outfile.write('}\n')
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/terminal.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/terminal.py
new file mode 100644
index 0000000000000000000000000000000000000000..51b902d3e24fa2a062d15185c95538715abd7027
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/formatters/terminal.py
@@ -0,0 +1,127 @@
+"""
+    pygments.formatters.terminal
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+    Formatter for terminal output with ANSI sequences.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+from pip._vendor.pygments.formatter import Formatter
+from pip._vendor.pygments.token import Keyword, Name, Comment, String, Error, \
+    Number, Operator, Generic, Token, Whitespace
+from pip._vendor.pygments.console import ansiformat
+from pip._vendor.pygments.util import get_choice_opt
+
+
+__all__ = ['TerminalFormatter']
+
+
+#: Map token types to a tuple of color values for light and dark
+#: backgrounds.
+TERMINAL_COLORS = {
+    Token:              ('',            ''),
+
+    Whitespace:         ('gray',   'brightblack'),
+    Comment:            ('gray',   'brightblack'),
+    Comment.Preproc:    ('cyan',        'brightcyan'),
+    Keyword:            ('blue',    'brightblue'),
+    Keyword.Type:       ('cyan',        'brightcyan'),
+    Operator.Word:      ('magenta',      'brightmagenta'),
+    Name.Builtin:       ('cyan',        'brightcyan'),
+    Name.Function:      ('green',   'brightgreen'),
+    Name.Namespace:     ('_cyan_',      '_brightcyan_'),
+    Name.Class:         ('_green_', '_brightgreen_'),
+    Name.Exception:     ('cyan',        'brightcyan'),
+    Name.Decorator:     ('brightblack',    'gray'),
+    Name.Variable:      ('red',     'brightred'),
+    Name.Constant:      ('red',     'brightred'),
+    Name.Attribute:     ('cyan',        'brightcyan'),
+    Name.Tag:           ('brightblue',        'brightblue'),
+    String:             ('yellow',       'yellow'),
+    Number:             ('blue',    'brightblue'),
+
+    Generic.Deleted:    ('brightred',        'brightred'),
+    Generic.Inserted:   ('green',  'brightgreen'),
+    Generic.Heading:    ('**',         '**'),
+    Generic.Subheading: ('*magenta*',   '*brightmagenta*'),
+    Generic.Prompt:     ('**',         '**'),
+    Generic.Error:      ('brightred',        'brightred'),
+
+    Error:              ('_brightred_',      '_brightred_'),
+}
+
+
+class TerminalFormatter(Formatter):
+    r"""
+    Format tokens with ANSI color sequences, for output in a text console.
+    Color sequences are terminated at newlines, so that paging the output
+    works correctly.
+
+    The `get_style_defs()` method doesn't do anything special since there is
+    no support for common styles.
+
+    Options accepted:
+
+    `bg`
+        Set to ``"light"`` or ``"dark"`` depending on the terminal's background
+        (default: ``"light"``).
+
+    `colorscheme`
+        A dictionary mapping token types to (lightbg, darkbg) color names or
+        ``None`` (default: ``None`` = use builtin colorscheme).
+
+    `linenos`
+        Set to ``True`` to have line numbers on the terminal output as well
+        (default: ``False`` = no line numbers).
+    """
+    name = 'Terminal'
+    aliases = ['terminal', 'console']
+    filenames = []
+
+    def __init__(self, **options):
+        Formatter.__init__(self, **options)
+        self.darkbg = get_choice_opt(options, 'bg',
+                                     ['light', 'dark'], 'light') == 'dark'
+        self.colorscheme = options.get('colorscheme', None) or TERMINAL_COLORS
+        self.linenos = options.get('linenos', False)
+        self._lineno = 0
+
+    def format(self, tokensource, outfile):
+        return Formatter.format(self, tokensource, outfile)
+
+    def _write_lineno(self, outfile):
+        self._lineno += 1
+        outfile.write("%s%04d: " % (self._lineno != 1 and '\n' or '', self._lineno))
+
+    def _get_color(self, ttype):
+        # self.colorscheme is a dict containing usually generic types, so we
+        # have to walk the tree of dots.  The base Token type must be a key,
+        # even if it's empty string, as in the default above.
+        colors = self.colorscheme.get(ttype)
+        while colors is None:
+            ttype = ttype.parent
+            colors = self.colorscheme.get(ttype)
+        return colors[self.darkbg]
+
+    def format_unencoded(self, tokensource, outfile):
+        if self.linenos:
+            self._write_lineno(outfile)
+
+        for ttype, value in tokensource:
+            color = self._get_color(ttype)
+
+            for line in value.splitlines(True):
+                if color:
+                    outfile.write(ansiformat(color, line.rstrip('\n')))
+                else:
+                    outfile.write(line.rstrip('\n'))
+                if line.endswith('\n'):
+                    if self.linenos:
+                        self._write_lineno(outfile)
+                    else:
+                        outfile.write('\n')
+
+        if self.linenos:
+            outfile.write("\n")
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/plugin.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/plugin.py
new file mode 100644
index 0000000000000000000000000000000000000000..2e462f2c2f9ceac908098c839c86b37aad629dc6
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/plugin.py
@@ -0,0 +1,72 @@
+"""
+    pygments.plugin
+    ~~~~~~~~~~~~~~~
+
+    Pygments plugin interface.
+
+    lexer plugins::
+
+        [pygments.lexers]
+        yourlexer = yourmodule:YourLexer
+
+    formatter plugins::
+
+        [pygments.formatters]
+        yourformatter = yourformatter:YourFormatter
+        /.ext = yourformatter:YourFormatter
+
+    As you can see, you can define extensions for the formatter
+    with a leading slash.
+
+    syntax plugins::
+
+        [pygments.styles]
+        yourstyle = yourstyle:YourStyle
+
+    filter plugin::
+
+        [pygments.filter]
+        yourfilter = yourfilter:YourFilter
+
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+from importlib.metadata import entry_points
+
+LEXER_ENTRY_POINT = 'pygments.lexers'
+FORMATTER_ENTRY_POINT = 'pygments.formatters'
+STYLE_ENTRY_POINT = 'pygments.styles'
+FILTER_ENTRY_POINT = 'pygments.filters'
+
+
+def iter_entry_points(group_name):
+    groups = entry_points()
+    if hasattr(groups, 'select'):
+        # New interface in Python 3.10 and newer versions of the
+        # importlib_metadata backport.
+        return groups.select(group=group_name)
+    else:
+        # Older interface, deprecated in Python 3.10 and recent
+        # importlib_metadata, but we need it in Python 3.8 and 3.9.
+        return groups.get(group_name, [])
+
+
+def find_plugin_lexers():
+    for entrypoint in iter_entry_points(LEXER_ENTRY_POINT):
+        yield entrypoint.load()
+
+
+def find_plugin_formatters():
+    for entrypoint in iter_entry_points(FORMATTER_ENTRY_POINT):
+        yield entrypoint.name, entrypoint.load()
+
+
+def find_plugin_styles():
+    for entrypoint in iter_entry_points(STYLE_ENTRY_POINT):
+        yield entrypoint.name, entrypoint.load()
+
+
+def find_plugin_filters():
+    for entrypoint in iter_entry_points(FILTER_ENTRY_POINT):
+        yield entrypoint.name, entrypoint.load()
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/scanner.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/scanner.py
new file mode 100644
index 0000000000000000000000000000000000000000..112da34917e4a570bb8aee06692bffdf9a4a0722
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/scanner.py
@@ -0,0 +1,104 @@
+"""
+    pygments.scanner
+    ~~~~~~~~~~~~~~~~
+
+    This library implements a regex based scanner. Some languages
+    like Pascal are easy to parse but have some keywords that
+    depend on the context. Because of this it's impossible to lex
+    that just by using a regular expression lexer like the
+    `RegexLexer`.
+
+    Have a look at the `DelphiLexer` to get an idea of how to use
+    this scanner.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+import re
+
+
+class EndOfText(RuntimeError):
+    """
+    Raise if end of text is reached and the user
+    tried to call a match function.
+    """
+
+
+class Scanner:
+    """
+    Simple scanner
+
+    All method patterns are regular expression strings (not
+    compiled expressions!)
+    """
+
+    def __init__(self, text, flags=0):
+        """
+        :param text:    The text which should be scanned
+        :param flags:   default regular expression flags
+        """
+        self.data = text
+        self.data_length = len(text)
+        self.start_pos = 0
+        self.pos = 0
+        self.flags = flags
+        self.last = None
+        self.match = None
+        self._re_cache = {}
+
+    def eos(self):
+        """`True` if the scanner reached the end of text."""
+        return self.pos >= self.data_length
+    eos = property(eos, eos.__doc__)
+
+    def check(self, pattern):
+        """
+        Apply `pattern` on the current position and return
+        the match object. (Doesn't touch pos). Use this for
+        lookahead.
+        """
+        if self.eos:
+            raise EndOfText()
+        if pattern not in self._re_cache:
+            self._re_cache[pattern] = re.compile(pattern, self.flags)
+        return self._re_cache[pattern].match(self.data, self.pos)
+
+    def test(self, pattern):
+        """Apply a pattern on the current position and check
+        if it patches. Doesn't touch pos.
+        """
+        return self.check(pattern) is not None
+
+    def scan(self, pattern):
+        """
+        Scan the text for the given pattern and update pos/match
+        and related fields. The return value is a boolean that
+        indicates if the pattern matched. The matched value is
+        stored on the instance as ``match``, the last value is
+        stored as ``last``. ``start_pos`` is the position of the
+        pointer before the pattern was matched, ``pos`` is the
+        end position.
+        """
+        if self.eos:
+            raise EndOfText()
+        if pattern not in self._re_cache:
+            self._re_cache[pattern] = re.compile(pattern, self.flags)
+        self.last = self.match
+        m = self._re_cache[pattern].match(self.data, self.pos)
+        if m is None:
+            return False
+        self.start_pos = m.start()
+        self.pos = m.end()
+        self.match = m.group()
+        return True
+
+    def get_char(self):
+        """Scan exactly one char."""
+        self.scan('.')
+
+    def __repr__(self):
+        return '<%s %d/%d>' % (
+            self.__class__.__name__,
+            self.pos,
+            self.data_length
+        )
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/sphinxext.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/sphinxext.py
new file mode 100644
index 0000000000000000000000000000000000000000..34077a2aee802f4aeb34cd9478f507dd6051b671
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/sphinxext.py
@@ -0,0 +1,247 @@
+"""
+    pygments.sphinxext
+    ~~~~~~~~~~~~~~~~~~
+
+    Sphinx extension to generate automatic documentation of lexers,
+    formatters and filters.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+import sys
+
+from docutils import nodes
+from docutils.statemachine import ViewList
+from docutils.parsers.rst import Directive
+from sphinx.util.nodes import nested_parse_with_titles
+
+
+MODULEDOC = '''
+.. module:: %s
+
+%s
+%s
+'''
+
+LEXERDOC = '''
+.. class:: %s
+
+    :Short names: %s
+    :Filenames:   %s
+    :MIME types:  %s
+
+    %s
+
+    %s
+
+'''
+
+FMTERDOC = '''
+.. class:: %s
+
+    :Short names: %s
+    :Filenames: %s
+
+    %s
+
+'''
+
+FILTERDOC = '''
+.. class:: %s
+
+    :Name: %s
+
+    %s
+
+'''
+
+
+class PygmentsDoc(Directive):
+    """
+    A directive to collect all lexers/formatters/filters and generate
+    autoclass directives for them.
+    """
+    has_content = False
+    required_arguments = 1
+    optional_arguments = 0
+    final_argument_whitespace = False
+    option_spec = {}
+
+    def run(self):
+        self.filenames = set()
+        if self.arguments[0] == 'lexers':
+            out = self.document_lexers()
+        elif self.arguments[0] == 'formatters':
+            out = self.document_formatters()
+        elif self.arguments[0] == 'filters':
+            out = self.document_filters()
+        elif self.arguments[0] == 'lexers_overview':
+            out = self.document_lexers_overview()
+        else:
+            raise Exception('invalid argument for "pygmentsdoc" directive')
+        node = nodes.compound()
+        vl = ViewList(out.split('\n'), source='')
+        nested_parse_with_titles(self.state, vl, node)
+        for fn in self.filenames:
+            self.state.document.settings.record_dependencies.add(fn)
+        return node.children
+
+    def document_lexers_overview(self):
+        """Generate a tabular overview of all lexers.
+
+        The columns are the lexer name, the extensions handled by this lexer
+        (or "None"), the aliases and a link to the lexer class."""
+        from pip._vendor.pygments.lexers._mapping import LEXERS
+        from pip._vendor.pygments.lexers import find_lexer_class
+        out = []
+
+        table = []
+
+        def format_link(name, url):
+            if url:
+                return f'`{name} <{url}>`_'
+            return name
+
+        for classname, data in sorted(LEXERS.items(), key=lambda x: x[1][1].lower()):
+            lexer_cls = find_lexer_class(data[1])
+            extensions = lexer_cls.filenames + lexer_cls.alias_filenames
+
+            table.append({
+                'name': format_link(data[1], lexer_cls.url),
+                'extensions': ', '.join(extensions).replace('*', '\\*').replace('_', '\\') or 'None',
+                'aliases': ', '.join(data[2]),
+                'class': f'{data[0]}.{classname}'
+            })
+
+        column_names = ['name', 'extensions', 'aliases', 'class']
+        column_lengths = [max([len(row[column]) for row in table if row[column]])
+                          for column in column_names]
+
+        def write_row(*columns):
+            """Format a table row"""
+            out = []
+            for length, col in zip(column_lengths, columns):
+                if col:
+                    out.append(col.ljust(length))
+                else:
+                    out.append(' '*length)
+
+            return ' '.join(out)
+
+        def write_seperator():
+            """Write a table separator row"""
+            sep = ['='*c for c in column_lengths]
+            return write_row(*sep)
+
+        out.append(write_seperator())
+        out.append(write_row('Name', 'Extension(s)', 'Short name(s)', 'Lexer class'))
+        out.append(write_seperator())
+        for row in table:
+            out.append(write_row(
+                row['name'],
+                row['extensions'],
+                row['aliases'],
+                f':class:`~{row["class"]}`'))
+        out.append(write_seperator())
+
+        return '\n'.join(out)
+
+    def document_lexers(self):
+        from pip._vendor.pygments.lexers._mapping import LEXERS
+        from pip._vendor import pygments
+        import inspect
+        import pathlib
+
+        out = []
+        modules = {}
+        moduledocstrings = {}
+        for classname, data in sorted(LEXERS.items(), key=lambda x: x[0]):
+            module = data[0]
+            mod = __import__(module, None, None, [classname])
+            self.filenames.add(mod.__file__)
+            cls = getattr(mod, classname)
+            if not cls.__doc__:
+                print(f"Warning: {classname} does not have a docstring.")
+            docstring = cls.__doc__
+            if isinstance(docstring, bytes):
+                docstring = docstring.decode('utf8')
+
+            example_file = getattr(cls, '_example', None)
+            if example_file:
+                p = pathlib.Path(inspect.getabsfile(pygments)).parent.parent /\
+                    'tests' / 'examplefiles' / example_file
+                content = p.read_text(encoding='utf-8')
+                if not content:
+                    raise Exception(
+                        f"Empty example file '{example_file}' for lexer "
+                        f"{classname}")
+
+                if data[2]:
+                    lexer_name = data[2][0]
+                    docstring += '\n\n    .. admonition:: Example\n'
+                    docstring += f'\n      .. code-block:: {lexer_name}\n\n'
+                    for line in content.splitlines():
+                        docstring += f'          {line}\n'
+
+            if cls.version_added:
+                version_line = f'.. versionadded:: {cls.version_added}'
+            else:
+                version_line = ''
+
+            modules.setdefault(module, []).append((
+                classname,
+                ', '.join(data[2]) or 'None',
+                ', '.join(data[3]).replace('*', '\\*').replace('_', '\\') or 'None',
+                ', '.join(data[4]) or 'None',
+                docstring,
+                version_line))
+            if module not in moduledocstrings:
+                moddoc = mod.__doc__
+                if isinstance(moddoc, bytes):
+                    moddoc = moddoc.decode('utf8')
+                moduledocstrings[module] = moddoc
+
+        for module, lexers in sorted(modules.items(), key=lambda x: x[0]):
+            if moduledocstrings[module] is None:
+                raise Exception(f"Missing docstring for {module}")
+            heading = moduledocstrings[module].splitlines()[4].strip().rstrip('.')
+            out.append(MODULEDOC % (module, heading, '-'*len(heading)))
+            for data in lexers:
+                out.append(LEXERDOC % data)
+
+        return ''.join(out)
+
+    def document_formatters(self):
+        from pip._vendor.pygments.formatters import FORMATTERS
+
+        out = []
+        for classname, data in sorted(FORMATTERS.items(), key=lambda x: x[0]):
+            module = data[0]
+            mod = __import__(module, None, None, [classname])
+            self.filenames.add(mod.__file__)
+            cls = getattr(mod, classname)
+            docstring = cls.__doc__
+            if isinstance(docstring, bytes):
+                docstring = docstring.decode('utf8')
+            heading = cls.__name__
+            out.append(FMTERDOC % (heading, ', '.join(data[2]) or 'None',
+                                   ', '.join(data[3]).replace('*', '\\*') or 'None',
+                                   docstring))
+        return ''.join(out)
+
+    def document_filters(self):
+        from pip._vendor.pygments.filters import FILTERS
+
+        out = []
+        for name, cls in FILTERS.items():
+            self.filenames.add(sys.modules[cls.__module__].__file__)
+            docstring = cls.__doc__
+            if isinstance(docstring, bytes):
+                docstring = docstring.decode('utf8')
+            out.append(FILTERDOC % (cls.__name__, name, docstring))
+        return ''.join(out)
+
+
+def setup(app):
+    app.add_directive('pygmentsdoc', PygmentsDoc)
diff --git a/llava/lib/python3.10/site-packages/pip/_vendor/pygments/util.py b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..83cf1049253dc90f6a2f55cb7dd253c711064370
--- /dev/null
+++ b/llava/lib/python3.10/site-packages/pip/_vendor/pygments/util.py
@@ -0,0 +1,324 @@
+"""
+    pygments.util
+    ~~~~~~~~~~~~~
+
+    Utility functions.
+
+    :copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
+    :license: BSD, see LICENSE for details.
+"""
+
+import re
+from io import TextIOWrapper
+
+
+split_path_re = re.compile(r'[/\\ ]')
+doctype_lookup_re = re.compile(r'''
+    <!DOCTYPE\s+(
+     [a-zA-Z_][a-zA-Z0-9]*
+     (?: \s+      # optional in HTML5
+     [a-zA-Z_][a-zA-Z0-9]*\s+
+     "[^"]*")?
+     )
+     [^>]*>
+''', re.DOTALL | re.MULTILINE | re.VERBOSE)
+tag_re = re.compile(r'<(.+?)(\s.*?)?>.*?</.+?>',
+                    re.IGNORECASE | re.DOTALL | re.MULTILINE)
+xml_decl_re = re.compile(r'\s*<\?xml[^>]*\?>', re.I)
+
+
+class ClassNotFound(ValueError):
+    """Raised if one of the lookup functions didn't find a matching class."""
+
+
+class OptionError(Exception):
+    """
+    This exception will be raised by all option processing functions if
+    the type or value of the argument is not correct.
+    """
+
+def get_choice_opt(options, optname, allowed, default=None, normcase=False):
+    """
+    If the key `optname` from the dictionary is not in the sequence
+    `allowed`, raise an error, otherwise return it.
+    """
+    string = options.get(optname, default)
+    if normcase:
+        string = string.lower()
+    if string not in allowed:
+        raise OptionError('Value for option {} must be one of {}'.format(optname, ', '.join(map(str, allowed))))
+    return string
+
+
+def get_bool_opt(options, optname, default=None):
+    """
+    Intuitively, this is `options.get(optname, default)`, but restricted to
+    Boolean value. The Booleans can be represented as string, in order to accept
+    Boolean value from the command line arguments. If the key `optname` is
+    present in the dictionary `options` and is not associated with a Boolean,
+    raise an `OptionError`. If it is absent, `default` is returned instead.
+
+    The valid string values for ``True`` are ``1``, ``yes``, ``true`` and
+    ``on``, the ones for ``False`` are ``0``, ``no``, ``false`` and ``off``
+    (matched case-insensitively).
+    """
+    string = options.get(optname, default)
+    if isinstance(string, bool):
+        return string
+    elif isinstance(string, int):
+        return bool(string)
+    elif not isinstance(string, str):
+        raise OptionError(f'Invalid type {string!r} for option {optname}; use '
+                          '1/0, yes/no, true/false, on/off')
+    elif string.lower() in ('1', 'yes', 'true', 'on'):
+        return True
+    elif string.lower() in ('0', 'no', 'false', 'off'):
+        return False
+    else:
+        raise OptionError(f'Invalid value {string!r} for option {optname}; use '
+                          '1/0, yes/no, true/false, on/off')
+
+
+def get_int_opt(options, optname, default=None):
+    """As :func:`get_bool_opt`, but interpret the value as an integer."""
+    string = options.get(optname, default)
+    try:
+        return int(string)
+    except TypeError:
+        raise OptionError(f'Invalid type {string!r} for option {optname}; you '
+                          'must give an integer value')
+    except ValueError:
+        raise OptionError(f'Invalid value {string!r} for option {optname}; you '
+                          'must give an integer value')
+
+def get_list_opt(options, optname, default=None):
+    """
+    If the key `optname` from the dictionary `options` is a string,
+    split it at whitespace and return it. If it is already a list
+    or a tuple, it is returned as a list.
+    """
+    val = options.get(optname, default)
+    if isinstance(val, str):
+        return val.split()
+    elif isinstance(val, (list, tuple)):
+        return list(val)
+    else:
+        raise OptionError(f'Invalid type {val!r} for option {optname}; you '
+                          'must give a list value')
+
+
+def docstring_headline(obj):
+    if not obj.__doc__:
+        return ''
+    res = []
+    for line in obj.__doc__.strip().splitlines():
+        if line.strip():
+            res.append(" " + line.strip())
+        else:
+            break
+    return ''.join(res).lstrip()
+
+
+def make_analysator(f):
+    """Return a static text analyser function that returns float values."""
+    def text_analyse(text):
+        try:
+            rv = f(text)
+        except Exception:
+            return 0.0
+        if not rv:
+            return 0.0
+        try:
+            return min(1.0, max(0.0, float(rv)))
+        except (ValueError, TypeError):
+            return 0.0
+    text_analyse.__doc__ = f.__doc__
+    return staticmethod(text_analyse)
+
+
+def shebang_matches(text, regex):
+    r"""Check if the given regular expression matches the last part of the
+    shebang if one exists.
+
+        >>> from pygments.util import shebang_matches
+        >>> shebang_matches('#!/usr/bin/env python', r'python(2\.\d)?')
+        True
+        >>> shebang_matches('#!/usr/bin/python2.4', r'python(2\.\d)?')
+        True
+        >>> shebang_matches('#!/usr/bin/python-ruby', r'python(2\.\d)?')
+        False
+        >>> shebang_matches('#!/usr/bin/python/ruby', r'python(2\.\d)?')
+        False
+        >>> shebang_matches('#!/usr/bin/startsomethingwith python',
+        ...                 r'python(2\.\d)?')
+        True
+
+    It also checks for common windows executable file extensions::
+
+        >>> shebang_matches('#!C:\\Python2.4\\Python.exe', r'python(2\.\d)?')
+        True
+
+    Parameters (``'-f'`` or ``'--foo'`` are ignored so ``'perl'`` does
+    the same as ``'perl -e'``)
+
+    Note that this method automatically searches the whole string (eg:
+    the regular expression is wrapped in ``'^$'``)
+    """
+    index = text.find('\n')
+    if index >= 0:
+        first_line = text[:index].lower()
+    else:
+        first_line = text.lower()
+    if first_line.startswith('#!'):
+        try:
+            found = [x for x in split_path_re.split(first_line[2:].strip())
+                     if x and not x.startswith('-')][-1]
+        except IndexError:
+            return False
+        regex = re.compile(rf'^{regex}(\.(exe|cmd|bat|bin))?$', re.IGNORECASE)
+        if regex.search(found) is not None:
+            return True
+    return False
+
+
+def doctype_matches(text, regex):
+    """Check if the doctype matches a regular expression (if present).
+
+    Note that this method only checks the first part of a DOCTYPE.
+    eg: 'html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"'
+    """
+    m = doctype_lookup_re.search(text)
+    if m is None:
+        return False
+    doctype = m.group(1)
+    return re.compile(regex, re.I).match(doctype.strip()) is not None
+
+
+def html_doctype_matches(text):
+    """Check if the file looks like it has a html doctype."""
+    return doctype_matches(text, r'html')
+
+
+_looks_like_xml_cache = {}
+
+
+def looks_like_xml(text):
+    """Check if a doctype exists or if we have some tags."""
+    if xml_decl_re.match(text):
+        return True
+    key = hash(text)
+    try:
+        return _looks_like_xml_cache[key]
+    except KeyError:
+        m = doctype_lookup_re.search(text)
+        if m is not None:
+            return True
+        rv = tag_re.search(text[:1000]) is not None
+        _looks_like_xml_cache[key] = rv
+        return rv
+
+
+def surrogatepair(c):
+    """Given a unicode character code with length greater than 16 bits,
+    return the two 16 bit surrogate pair.
+    """
+    # From example D28 of:
+    # http://www.unicode.org/book/ch03.pdf
+    return (0xd7c0 + (c >> 10), (0xdc00 + (c & 0x3ff)))
+
+
+def format_lines(var_name, seq, raw=False, indent_level=0):
+    """Formats a sequence of strings for output."""
+    lines = []
+    base_indent = ' ' * indent_level * 4
+    inner_indent = ' ' * (indent_level + 1) * 4
+    lines.append(base_indent + var_name + ' = (')
+    if raw:
+        # These should be preformatted reprs of, say, tuples.
+        for i in seq:
+            lines.append(inner_indent + i + ',')
+    else:
+        for i in seq:
+            # Force use of single quotes
+            r = repr(i + '"')
+            lines.append(inner_indent + r[:-2] + r[-1] + ',')
+    lines.append(base_indent + ')')
+    return '\n'.join(lines)
+
+
+def duplicates_removed(it, already_seen=()):
+    """
+    Returns a list with duplicates removed from the iterable `it`.
+
+    Order is preserved.
+    """
+    lst = []
+    seen = set()
+    for i in it:
+        if i in seen or i in already_seen:
+            continue
+        lst.append(i)
+        seen.add(i)
+    return lst
+
+
+class Future:
+    """Generic class to defer some work.
+
+    Handled specially in RegexLexerMeta, to support regex string construction at
+    first use.
+    """
+    def get(self):
+        raise NotImplementedError
+
+
+def guess_decode(text):
+    """Decode *text* with guessed encoding.
+
+    First try UTF-8; this should fail for non-UTF-8 encodings.
+    Then try the preferred locale encoding.
+    Fall back to latin-1, which always works.
+    """
+    try:
+        text = text.decode('utf-8')
+        return text, 'utf-8'
+    except UnicodeDecodeError:
+        try:
+            import locale
+            prefencoding = locale.getpreferredencoding()
+            text = text.decode()
+            return text, prefencoding
+        except (UnicodeDecodeError, LookupError):
+            text = text.decode('latin1')
+            return text, 'latin1'
+
+
+def guess_decode_from_terminal(text, term):
+    """Decode *text* coming from terminal *term*.
+
+    First try the terminal encoding, if given.
+    Then try UTF-8.  Then try the preferred locale encoding.
+    Fall back to latin-1, which always works.
+    """
+    if getattr(term, 'encoding', None):
+        try:
+            text = text.decode(term.encoding)
+        except UnicodeDecodeError:
+            pass
+        else:
+            return text, term.encoding
+    return guess_decode(text)
+
+
+def terminal_encoding(term):
+    """Return our best guess of encoding for the given *term*."""
+    if getattr(term, 'encoding', None):
+        return term.encoding
+    import locale
+    return locale.getpreferredencoding()
+
+
+class UnclosingTextIOWrapper(TextIOWrapper):
+    # Don't close underlying buffer on destruction.
+    def close(self):
+        self.flush()
diff --git a/minigpt2/lib/python3.10/site-packages/Crypto/Math/_modexp.abi3.so b/minigpt2/lib/python3.10/site-packages/Crypto/Math/_modexp.abi3.so
new file mode 100644
index 0000000000000000000000000000000000000000..d7c7561440e71d2933cbafe2340a2eed486248b1
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/Crypto/Math/_modexp.abi3.so
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93b056fe341952f08d2160cd7232bf5c5293fdf611cfc0a0f8958a9badc4d6a9
+size 220424
diff --git a/minigpt2/lib/python3.10/site-packages/decord/__init__.py b/minigpt2/lib/python3.10/site-packages/decord/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c3572095d2a5b8739110fd9a5116e72d55c27a97
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/__init__.py
@@ -0,0 +1,19 @@
+"""Decord python package"""
+from . import function
+
+from ._ffi.runtime_ctypes import TypeCode
+from ._ffi.function import register_func, get_global_func, list_global_func_names, extract_ext_funcs
+from ._ffi.base import DECORDError, DECORDLimitReachedError, __version__
+
+from .base import ALL
+
+from . import ndarray as nd
+from .ndarray import cpu, gpu
+from . import bridge
+from . import logging
+from .video_reader import VideoReader
+from .video_loader import VideoLoader
+from .audio_reader import AudioReader
+from .av_reader import AVReader
+
+logging.set_level(logging.ERROR)
diff --git a/minigpt2/lib/python3.10/site-packages/decord/_api_internal.py b/minigpt2/lib/python3.10/site-packages/decord/_api_internal.py
new file mode 100644
index 0000000000000000000000000000000000000000..af08960ca6e82844dc2cb762bbf44b35ccafcbfd
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/_api_internal.py
@@ -0,0 +1 @@
+"""Namespace for internal apis."""
diff --git a/minigpt2/lib/python3.10/site-packages/decord/audio_reader.py b/minigpt2/lib/python3.10/site-packages/decord/audio_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..a6e233abff9d56dac44b95509ae8d659769e8b18
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/audio_reader.py
@@ -0,0 +1,182 @@
+"""Audio Reader."""
+from __future__ import absolute_import
+
+import ctypes
+import numpy as np
+import math
+
+from ._ffi.base import c_array, c_str
+from ._ffi.function import _init_api
+from ._ffi.ndarray import DECORDContext
+from .base import DECORDError
+from . import ndarray as _nd
+from .ndarray import cpu, gpu
+from .bridge import bridge_out
+
+AudioReaderHandle = ctypes.c_void_p
+
+class AudioReader(object):
+    """Individual audio reader with convenient indexing function.
+
+    Parameters
+    ----------
+    uri: str
+        Path of file.
+    ctx: decord.Context
+        The context to decode the file, can be decord.cpu() or decord.gpu().
+    sample_rate: int, default is -1
+        Desired output sample rate of the audio, unchanged if `-1` is specified.
+    mono: bool, default is True
+        Desired output channel layout of the audio. 
+        Setting `True` will return the audio as mono layout. 
+        Setting `False` will return the audio channel layout intact.
+
+    """
+
+    def __init__(self, uri, ctx=cpu(0), sample_rate=-1, mono=True):
+        self._handle = None
+        assert isinstance(ctx, DECORDContext)
+        is_mono = 1 if mono else 0
+        if hasattr(uri, 'read'):
+            ba = bytearray(uri.read())
+            uri = '{} bytes'.format(len(ba))
+            self._handle = _CAPI_AudioReaderGetAudioReader(
+                ba, ctx.device_type, ctx.device_id, sample_rate, 2, is_mono)
+        else:
+            self._handle = _CAPI_AudioReaderGetAudioReader(
+                uri, ctx.device_type, ctx.device_id, sample_rate, 0, is_mono)
+        if self._handle is None:
+            raise RuntimeError("Error reading " + uri + "...")
+        self._array = _CAPI_AudioReaderGetNDArray(self._handle)
+        self._array = self._array.asnumpy()
+        self._duration = _CAPI_AudioReaderGetDuration(self._handle)
+        self._num_samples_per_channel = _CAPI_AudioReaderGetNumSamplesPerChannel(self._handle)
+        self._num_channels = _CAPI_AudioReaderGetNumChannels(self._handle)
+        self.sample_rate = sample_rate
+        self._num_padding = None
+
+    def __len__(self):
+        """Get length of the audio. The length refer to the shape's first dimension. In this case,
+        the length is the number of channels.
+        Returns
+        -------
+        int
+            The number of channels in the audio track.
+        """
+        return self.shape[0]
+
+    def __del__(self):
+        if self._handle:
+            _CAPI_AudioReaderFree(self._handle)
+
+    def __getitem__(self, idx):
+        """Get sample at `idx`. idx is the index of resampled audio, unit is sample.
+
+        Parameters
+        ----------
+        idx : int or slice
+            The sample index, can be negative which means it will index backwards,
+            or slice of sample indices.
+
+        Returns
+        -------
+        ndarray
+            Samples of shape CxS,
+            where C is the number of channels, S is the number of samples of the index or slice.
+        """
+        assert self._handle is not None
+        if isinstance(idx, slice):
+            return self.get_batch(range(*idx.indices(self._num_samples_per_channel)))
+        if idx < 0:
+            idx += self._num_samples_per_channel
+        if idx >= self._num_samples_per_channel or idx < 0:
+            raise IndexError("Index: {} out of bound: {}".format(idx, self._num_samples_per_channel))
+        return bridge_out(_nd.array(self._array[:, idx]))
+        
+    def get_batch(self, indices):
+        """Get entire batch of samples.
+
+        Parameters
+        ----------
+        indices : list of integers
+            A list of frame indices. If negative indices detected, the indices will be indexed from backward
+        Returns
+        -------
+        ndarray
+            Samples of shape CxS,
+            where C is the number of channels, S is the number of samples of the slice.
+
+        """
+        assert self._handle is not None
+        indices = self._validate_indices(indices)
+        indices = list(indices)
+        return bridge_out(_nd.array(self._array[:, indices]))
+
+    @property
+    def shape(self):
+        """Get shape of the entire audio samples.
+
+        Returns
+        -------
+        (int, int)
+            The number of channels, and the number of samples in each channel.
+
+        """
+        return (self._num_channels, self._num_samples_per_channel)
+
+    def duration(self):
+        """Get duration of the audio.
+
+        Returns
+        -------
+        double
+            Duration of the audio in secs.
+
+        """
+        return self._duration
+
+    def __get_num_padding(self):
+        """Get number of samples needed to pad the audio to start at time 0."""
+        if self._num_padding is None:
+            self._num_padding = _CAPI_AudioReaderGetNumPaddingSamples(self._handle)
+        return self._num_padding
+
+    def add_padding(self):
+        """Pad the audio samples so that it starts at time 0.
+
+        Returns
+        -------
+        int
+            Number of samples padded
+
+        """
+        self._array = np.pad(self._array, ((0, 0), (self.__get_num_padding(), 0)), 'constant', constant_values=0)
+        self._duration += self.__get_num_padding() * self.sample_rate
+        return self.__get_num_padding()
+
+    def get_info(self):
+        """Log out the basic info about the audio stream."""
+        _CAPI_AudioReaderGetInfo(self._handle)
+
+    def _time_to_sample(self, timestamp):
+        """Convert time in seconds to sample index"""
+        return math.ceil(timestamp * self.sample_rate)
+        
+    def _times_to_samples(self, timestamps):
+        """Convert times in seconds to sample indices"""
+        return [self._time_to_sample(timestamp) for timestamp in timestamps]
+
+    def _validate_indices(self, indices):
+        """Validate int64 integers and convert negative integers to positive by backward search"""
+        assert self._handle is not None
+        indices = np.array(indices, dtype=np.int64)
+        # process negative indices
+        indices[indices < 0] += self._num_samples_per_channel
+        if not (indices >= 0).all():
+            raise IndexError(
+                'Invalid negative indices: {}'.format(indices[indices < 0] + self._num_samples_per_channel))
+        if not (indices < self._num_samples_per_channel).all():
+            raise IndexError('Out of bound indices: {}'.format(indices[indices >= self._num_samples_per_channel]))
+        return indices
+
+_init_api("decord.audio_reader")
diff --git a/minigpt2/lib/python3.10/site-packages/decord/av_reader.py b/minigpt2/lib/python3.10/site-packages/decord/av_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..e463e4ae6610c2f9a6cd093ed42d05f963d85982
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/av_reader.py
@@ -0,0 +1,149 @@
+"""AV Reader."""
+from __future__ import absolute_import
+
+import ctypes
+import numpy as np
+import math
+from .video_reader import VideoReader
+from .audio_reader import AudioReader
+
+from .ndarray import cpu, gpu
+from . import ndarray as _nd
+from .bridge import bridge_out
+
+class AVReader(object):
+    """Individual audio video reader with convenient indexing function.
+
+    Parameters
+    ----------
+    uri: str
+        Path of file.
+    ctx: decord.Context
+        The context to decode the file, can be decord.cpu() or decord.gpu().
+    sample_rate: int, default is -1
+        Desired output sample rate of the audio, unchanged if `-1` is specified.
+    mono: bool, default is True
+        Desired output channel layout of the audio. `True` is mono layout. `False` is unchanged.
+    width : int, default is -1
+        Desired output width of the video, unchanged if `-1` is specified.
+    height : int, default is -1
+        Desired output height of the video, unchanged if `-1` is specified.
+    num_threads : int, default is 0
+        Number of decoding thread, auto if `0` is specified.
+    fault_tol : int, default is -1
+        The threshold of corupted and recovered frames. This is to prevent silent fault
+        tolerance when for example 50% frames of a video cannot be decoded and duplicate
+        frames are returned. You may find the fault tolerant feature sweet in many cases,
+        but not for training models. Say `N = # recovered frames`
+        If `fault_tol` < 0, nothing will happen.
+        If 0 < `fault_tol` < 1.0, if N > `fault_tol * len(video)`, raise `DECORDLimitReachedError`.
+        If 1 < `fault_tol`, if N > `fault_tol`, raise `DECORDLimitReachedError`.
+
+    """
+
+    def __init__(self, uri, ctx=cpu(0), sample_rate=44100, mono=True, width=-1, height=-1, num_threads=0, fault_tol=-1):
+        self.__audio_reader = AudioReader(uri, ctx, sample_rate, mono)
+        self.__audio_reader.add_padding()
+        if hasattr(uri, 'read'):
+            uri.seek(0)
+        self.__video_reader = VideoReader(uri, ctx, width, height, num_threads, fault_tol)
+
+    def __len__(self):
+        """Get length of the video. Note that sometimes FFMPEG reports inaccurate number of frames,
+        we always follow what FFMPEG reports.
+        Returns
+        -------
+        int
+            The number of frames in the video file.
+        """
+        return len(self.__video_reader)
+
+    def __getitem__(self, idx):
+        """Get audio samples and video frame at `idx`.
+
+        Parameters
+        ----------
+        idx : int or slice
+            The frame index, can be negative which means it will index backwards,
+            or slice of frame indices.
+
+        Returns
+        -------
+        (ndarray/list of ndarray, ndarray)
+            First element is samples of shape CxS or a list of length N containing samples of shape CxS,
+            where N is the number of frames, C is the number of channels, 
+            S is the number of samples of the corresponding frame.
+
+            Second element is Frame of shape HxWx3 or batch of image frames with shape NxHxWx3,
+            where N is the length of the slice.
+        """
+        assert self.__video_reader is not None and self.__audio_reader is not None
+        if isinstance(idx, slice):
+            return self.get_batch(range(*idx.indices(len(self.__video_reader))))
+        if idx < 0:
+            idx += len(self.__video_reader)
+        if idx >= len(self.__video_reader) or idx < 0:
+            raise IndexError("Index: {} out of bound: {}".format(idx, len(self.__video_reader)))
+        audio_start_idx, audio_end_idx = self.__video_reader.get_frame_timestamp(idx)
+        audio_start_idx = self.__audio_reader._time_to_sample(audio_start_idx)
+        audio_end_idx = self.__audio_reader._time_to_sample(audio_end_idx)
+        return (self.__audio_reader[audio_start_idx:audio_end_idx], self.__video_reader[idx])
+        
+    def get_batch(self, indices):
+        """Get entire batch of audio samples and video frames.
+
+        Parameters
+        ----------
+        indices : list of integers
+            A list of frame indices. If negative indices detected, the indices will be indexed from backward
+        Returns
+        -------
+        (list of ndarray, ndarray)
+            First element is a list of length N containing samples of shape CxS,
+            where N is the number of frames, C is the number of channels, 
+            S is the number of samples of the corresponding frame.
+
+            Second element is Frame of shape HxWx3 or batch of image frames with shape NxHxWx3,
+            where N is the length of the slice.
+
+        """
+        assert self.__video_reader is not None and self.__audio_reader is not None
+        indices = self._validate_indices(indices)
+        audio_arr = []
+        prev_video_idx = None
+        prev_audio_end_idx = None
+        for idx in list(indices):
+            frame_start_time, frame_end_time = self.__video_reader.get_frame_timestamp(idx)
+            # timestamp and sample conversion could have some error that could cause non-continuous audio
+            # we detect if retrieving continuous frame and make the audio continuous
+            if prev_video_idx and idx == prev_video_idx+1:
+                audio_start_idx = prev_audio_end_idx
+            else:
+                audio_start_idx = self.__audio_reader._time_to_sample(frame_start_time)
+            audio_end_idx = self.__audio_reader._time_to_sample(frame_end_time)
+            audio_arr.append(self.__audio_reader[audio_start_idx:audio_end_idx])
+            prev_video_idx = idx
+            prev_audio_end_idx = audio_end_idx
+        return (audio_arr, self.__video_reader.get_batch(indices))
+
+    def _get_slice(self, sl):
+        audio_arr = np.empty(shape=(self.__audio_reader.shape()[0], 0), dtype='float32')
+        for idx in list(sl):
+            audio_start_idx, audio_end_idx = self.__video_reader.get_frame_timestamp(idx)
+            audio_start_idx = self.__audio_reader._time_to_sample(audio_start_idx)
+            audio_end_idx = self.__audio_reader._time_to_sample(audio_end_idx)
+            audio_arr = np.concatenate((audio_arr, self.__audio_reader[audio_start_idx:audio_end_idx].asnumpy()), axis=1)
+        return (bridge_out(_nd.array(audio_arr)), self.__video_reader.get_batch(sl))
+
+    def _validate_indices(self, indices):
+        """Validate int64 integers and convert negative integers to positive by backward search"""
+        assert self.__video_reader is not None and self.__audio_reader is not None
+        indices = np.array(indices, dtype=np.int64)
+        # process negative indices
+        indices[indices < 0] += len(self.__video_reader)
+        if not (indices >= 0).all():
+            raise IndexError(
+                'Invalid negative indices: {}'.format(indices[indices < 0] + len(self.__video_reader)))
+        if not (indices < len(self.__video_reader)).all():
+            raise IndexError('Out of bound indices: {}'.format(indices[indices >= len(self.__video_reader)]))
+        return indices
diff --git a/minigpt2/lib/python3.10/site-packages/decord/base.py b/minigpt2/lib/python3.10/site-packages/decord/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ea356d216fc604868fcafaa9dcb619a81bd2e7e
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/base.py
@@ -0,0 +1,20 @@
+"""Module for base types and utilities."""
+from __future__ import absolute_import
+
+import warnings
+
+from ._ffi.base import DECORDError  # pylint: disable=unused-import
+from ._ffi.function import _init_internal_api
+
+# A special symbol for selecting all nodes or edges.
+ALL = "__ALL__"
+
+def is_all(arg):
+    """Return true if the argument is a special symbol for all nodes or edges."""
+    return isinstance(arg, str) and arg == ALL
+
+def decord_warning(msg):
+    """Print out warning messages."""
+    warnings.warn(msg)
+
+_init_internal_api()
diff --git a/minigpt2/lib/python3.10/site-packages/decord/logging.py b/minigpt2/lib/python3.10/site-packages/decord/logging.py
new file mode 100644
index 0000000000000000000000000000000000000000..0bd5ac570ecab4ff7c296d872c0809f2d3f115c8
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/logging.py
@@ -0,0 +1,23 @@
+"""DECORD logging module.
+
+You can adjust the logging level for ffmpeg.
+"""
+from ._ffi.function import _init_api
+
+QUIET = -8
+PANIC = 0
+FATAL = 8
+ERROR = 16
+WARNING = 24
+INFO = 32
+VERBOSE = 40
+DEBUG = 48
+TRACE = 56
+
+# Mimicking stdlib.
+CRITICAL = FATAL
+
+def set_level(lvl=ERROR):
+    _CAPI_SetLoggingLevel(lvl)
+
+_init_api("decord.logging")
diff --git a/minigpt2/lib/python3.10/site-packages/decord/video_loader.py b/minigpt2/lib/python3.10/site-packages/decord/video_loader.py
new file mode 100644
index 0000000000000000000000000000000000000000..ace40c57af174a123137eba3ac097d14d667e2e5
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/video_loader.py
@@ -0,0 +1,121 @@
+"""Video Loader."""
+from __future__ import absolute_import
+
+import ctypes
+import numpy as np
+
+from ._ffi.base import c_array, c_str
+from ._ffi.function import _init_api
+from .base import DECORDError
+from . import ndarray as _nd
+from .ndarray import DECORDContext
+from .bridge import bridge_out
+
+VideoLoaderHandle = ctypes.c_void_p
+
+
+class VideoLoader(object):
+    """Multiple video loader with advanced shuffling and batching methods.
+
+    Parameters
+    ----------
+    uris : list of str
+        List of video paths.
+    ctx : decord.Context or list of Context
+        The context to decode the video file, can be decord.cpu() or decord.gpu().
+        If ctx is a list, videos will be evenly split over many ctxs.
+    shape : tuple
+        Returned shape of the batch images, e.g., (2, 320, 240, 3) as (Batch, H, W, 3)
+    interval : int
+        Intra-batch frame interval.
+    skip : int
+        Inter-batch frame interval.
+    shuffle : int
+        Shuffling strategy. Can be
+        `0`:  all sequential, no seeking, following initial filename order
+        `1`:  random filename order, no random access for each video, very efficient
+        `2`:  random order
+        `3`:  random frame access in each video only.
+
+    """
+    def __init__(self, uris, ctx, shape, interval, skip, shuffle, prefetch=0):
+        self._handle = None
+        assert isinstance(uris, (list, tuple))
+        assert (len(uris) > 0)
+        uri = ','.join([x.strip() for x in uris])
+        if isinstance(ctx, DECORDContext):
+            ctx = [ctx]
+        for _ctx in ctx:
+            assert isinstance(_ctx, DECORDContext)
+        device_types = _nd.array([x.device_type for x in ctx])
+        device_ids = _nd.array([x.device_id for x in ctx])
+        assert isinstance(shape, (list, tuple))
+        assert len(shape) == 4, "expected shape: [bs, height, width, 3], given {}".format(shape)
+        self._handle = _CAPI_VideoLoaderGetVideoLoader(
+            uri, device_types, device_ids, shape[0], shape[1], shape[2], shape[3], interval, skip, shuffle, prefetch)
+        assert self._handle is not None
+        self._len = _CAPI_VideoLoaderLength(self._handle)
+        self._curr = 0
+
+    def __del__(self):
+        if self._handle:
+            _CAPI_VideoLoaderFree(self._handle)
+
+    def __len__(self):
+        """Get number of batches in each epoch.
+
+        Returns
+        -------
+        int
+            number of batches in each epoch.
+
+        """
+        return self._len
+
+    def reset(self):
+        """Reset loader for next epoch.
+
+        """
+        assert self._handle is not None
+        self._curr = 0
+        _CAPI_VideoLoaderReset(self._handle)
+
+    def __next__(self):
+        """Get the next batch.
+
+        Returns
+        -------
+        ndarray, ndarray
+            Frame data and corresponding indices in videos.
+            Indices are [(n0, k0), (n1, k1)...] where n0 is the index of video, k0 is the index
+            of frame in video n0.
+
+        """
+        assert self._handle is not None
+        # avoid calling CAPI HasNext
+        if self._curr >= self._len:
+            raise StopIteration
+        _CAPI_VideoLoaderNext(self._handle)
+        data = _CAPI_VideoLoaderNextData(self._handle)
+        indices = _CAPI_VideoLoaderNextIndices(self._handle)
+        self._curr += 1
+        return bridge_out(data), bridge_out(indices)
+
+    def next(self):
+        """Alias of __next__ for python2.
+
+        """
+        return self.__next__()
+
+    def __iter__(self):
+        assert self._handle is not None
+        # if (self._curr >= self._len):
+        #     self.reset()
+        # else:
+        #     err_msg = "Call __iter__ of VideoLoader during previous iteration is forbidden. \
+        #         Consider using cached iterator by 'vl = iter(video_loader)' and reuse it."
+        #     raise RuntimeError(err_msg)
+        return self
+
+
+_init_api("decord.video_loader")
diff --git a/minigpt2/lib/python3.10/site-packages/decord/video_reader.py b/minigpt2/lib/python3.10/site-packages/decord/video_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..a836b64076274e4fe6badcf13fb6dc37341008d8
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/decord/video_reader.py
@@ -0,0 +1,251 @@
+"""Video Reader."""
+from __future__ import absolute_import
+
+import ctypes
+import numpy as np
+
+from ._ffi.base import c_array, c_str
+from ._ffi.function import _init_api
+from ._ffi.ndarray import DECORDContext
+from .base import DECORDError
+from . import ndarray as _nd
+from .ndarray import cpu, gpu
+from .bridge import bridge_out
+
+VideoReaderHandle = ctypes.c_void_p
+
+
+class VideoReader(object):
+    """Individual video reader with convenient indexing and seeking functions.
+
+    Parameters
+    ----------
+    uri : str
+        Path of video file.
+    ctx : decord.Context
+        The context to decode the video file, can be decord.cpu() or decord.gpu().
+    width : int, default is -1
+        Desired output width of the video, unchanged if `-1` is specified.
+    height : int, default is -1
+        Desired output height of the video, unchanged if `-1` is specified.
+    num_threads : int, default is 0
+        Number of decoding thread, auto if `0` is specified.
+    fault_tol : int, default is -1
+        The threshold of corupted and recovered frames. This is to prevent silent fault
+        tolerance when for example 50% frames of a video cannot be decoded and duplicate
+        frames are returned. You may find the fault tolerant feature sweet in many cases,
+        but not for training models. Say `N = # recovered frames`
+        If `fault_tol` < 0, nothing will happen.
+        If 0 < `fault_tol` < 1.0, if N > `fault_tol * len(video)`, raise `DECORDLimitReachedError`.
+        If 1 < `fault_tol`, if N > `fault_tol`, raise `DECORDLimitReachedError`.
+
+
+    """
+    def __init__(self, uri, ctx=cpu(0), width=-1, height=-1, num_threads=0, fault_tol=-1):
+        self._handle = None
+        assert isinstance(ctx, DECORDContext)
+        fault_tol = str(fault_tol)
+        if hasattr(uri, 'read'):
+            ba = bytearray(uri.read())
+            uri = '{} bytes'.format(len(ba))
+            self._handle = _CAPI_VideoReaderGetVideoReader(
+                ba, ctx.device_type, ctx.device_id, width, height, num_threads, 2, fault_tol)
+        else:
+            self._handle = _CAPI_VideoReaderGetVideoReader(
+                uri, ctx.device_type, ctx.device_id, width, height, num_threads, 0, fault_tol)
+        if self._handle is None:
+            raise RuntimeError("Error reading " + uri + "...")
+        self._num_frame = _CAPI_VideoReaderGetFrameCount(self._handle)
+        assert self._num_frame > 0, "Invalid frame count: {}".format(self._num_frame)
+        self._key_indices = None
+        self._frame_pts = None
+        self._avg_fps = None
+
+    def __del__(self):
+        try:
+            if self._handle is not None:
+                _CAPI_VideoReaderFree(self._handle)
+        except TypeError:
+            pass
+
+    def __len__(self):
+        """Get length of the video. Note that sometimes FFMPEG reports inaccurate number of frames,
+        we always follow what FFMPEG reports.
+
+        Returns
+        -------
+        int
+            The number of frames in the video file.
+
+        """
+        return self._num_frame
+
+    def __getitem__(self, idx):
+        """Get frame at `idx`.
+
+        Parameters
+        ----------
+        idx : int or slice
+            The frame index, can be negative which means it will index backwards,
+            or slice of frame indices.
+
+        Returns
+        -------
+        ndarray
+            Frame of shape HxWx3 or batch of image frames with shape NxHxWx3,
+            where N is the length of the slice.
+        """
+        if isinstance(idx, slice):
+            return self.get_batch(range(*idx.indices(len(self))))
+        if idx < 0:
+            idx += self._num_frame
+        if idx >= self._num_frame or idx < 0:
+            raise IndexError("Index: {} out of bound: {}".format(idx, self._num_frame))
+        self.seek_accurate(idx)
+        return self.next()
+
+    def next(self):
+        """Grab the next frame.
+
+        Returns
+        -------
+        ndarray
+            Frame with shape HxWx3.
+
+        """
+        assert self._handle is not None
+        arr = _CAPI_VideoReaderNextFrame(self._handle)
+        if not arr.shape:
+            raise StopIteration()
+        return bridge_out(arr)
+
+    def _validate_indices(self, indices):
+        """Validate int64 integers and convert negative integers to positive by backward search"""
+        assert self._handle is not None
+        indices = np.array(indices, dtype=np.int64)
+        # process negative indices
+        indices[indices < 0] += self._num_frame
+        if not (indices >= 0).all():
+            raise IndexError(
+                'Invalid negative indices: {}'.format(indices[indices < 0] + self._num_frame))
+        if not (indices < self._num_frame).all():
+            raise IndexError('Out of bound indices: {}'.format(indices[indices >= self._num_frame]))
+        return indices
+
+    def get_frame_timestamp(self, idx):
+        """Get frame playback timestamp in unit(second).
+
+        Parameters
+        ----------
+        indices: list of integers or slice
+            A list of frame indices. If negative indices detected, the indices will be indexed from backward.
+
+        Returns
+        -------
+        numpy.ndarray
+            numpy.ndarray of shape (N, 2), where N is the size of indices. The format is `(start_second, end_second)`.
+        """
+        assert self._handle is not None
+        if isinstance(idx, slice):
+            idx = self.get_batch(range(*idx.indices(len(self))))
+        idx = self._validate_indices(idx)
+        if self._frame_pts is None:
+            self._frame_pts = _CAPI_VideoReaderGetFramePTS(self._handle).asnumpy()
+        return self._frame_pts[idx, :]
+
+
+    def get_batch(self, indices):
+        """Get entire batch of images. `get_batch` is optimized to handle seeking internally.
+        Duplicate frame indices will be optmized by copying existing frames rather than decode
+        from video again.
+
+        Parameters
+        ----------
+        indices : list of integers
+            A list of frame indices. If negative indices detected, the indices will be indexed from backward
+
+        Returns
+        -------
+        ndarray
+            An entire batch of image frames with shape NxHxWx3, where N is the length of `indices`.
+
+        """
+        assert self._handle is not None
+        indices = _nd.array(self._validate_indices(indices))
+        arr = _CAPI_VideoReaderGetBatch(self._handle, indices)
+        return bridge_out(arr)
+
+    def get_key_indices(self):
+        """Get list of key frame indices.
+
+        Returns
+        -------
+        list
+            List of key frame indices.
+
+        """
+        if self._key_indices is None:
+            self._key_indices = _CAPI_VideoReaderGetKeyIndices(self._handle).asnumpy().tolist()
+        return self._key_indices
+
+    def get_avg_fps(self):
+        """Get average FPS(frame per second).
+
+        Returns
+        -------
+        float
+            Average FPS.
+
+        """
+        if self._avg_fps is None:
+            self._avg_fps = _CAPI_VideoReaderGetAverageFPS(self._handle)
+        return self._avg_fps
+
+    def seek(self, pos):
+        """Fast seek to frame position, this does not guarantee accurate position.
+        To obtain accurate seeking, see `accurate_seek`.
+
+        Parameters
+        ----------
+        pos : integer
+            Non negative seeking position.
+
+        """
+        assert self._handle is not None
+        assert pos >= 0 and pos < self._num_frame
+        success = _CAPI_VideoReaderSeek(self._handle, pos)
+        if not success:
+            raise RuntimeError("Failed to seek to frame {}".format(pos))
+
+    def seek_accurate(self, pos):
+        """Accurately seek to frame position, this is slower than `seek`
+        but guarantees accurate position.
+
+        Parameters
+        ----------
+        pos : integer
+            Non negative seeking position.
+
+        """
+        assert self._handle is not None
+        assert pos >= 0 and pos < self._num_frame
+        success = _CAPI_VideoReaderSeekAccurate(self._handle, pos)
+        if not success:
+            raise RuntimeError("Failed to seek_accurate to frame {}".format(pos))
+
+    def skip_frames(self, num=1):
+        """Skip reading multiple frames. Skipped frames will still be decoded
+        (required by following frames) but it can save image resize/copy operations.
+
+
+        Parameters
+        ----------
+        num : int, default is 1
+            The number of frames to be skipped.
+
+        """
+        assert self._handle is not None
+        assert num > 0
+        _CAPI_VideoReaderSkipFrames(self._handle, num)
+
+_init_api("decord.video_reader")
diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/INSTALLER b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/INSTALLER
new file mode 100644
index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/INSTALLER
@@ -0,0 +1 @@
+pip
diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/METADATA b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/METADATA
new file mode 100644
index 0000000000000000000000000000000000000000..1eaaae955f155091e4516629699af17fcfb8e57a
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/METADATA
@@ -0,0 +1,151 @@
+Metadata-Version: 2.3
+Name: ftfy
+Version: 6.3.1
+Summary: Fixes mojibake and other problems with Unicode, after the fact
+Project-URL: Homepage, https://ftfy.readthedocs.io/en/latest/
+Project-URL: Documentation, https://ftfy.readthedocs.io/en/latest/
+Project-URL: Repository, https://github.com/rspeer/python-ftfy
+Project-URL: Issues, https://github.com/rspeer/python-ftfy/issues/
+Project-URL: Changelog, https://github.com/rspeer/python-ftfy/blob/main/CHANGELOG.md
+Project-URL: Blog, https://posts.arborelia.net
+Author-email: Robyn Speer <rspeer@arborelia.net>
+License: Apache-2.0
+License-File: LICENSE.txt
+Requires-Python: >=3.9
+Requires-Dist: wcwidth
+Description-Content-Type: text/markdown
+
+# ftfy: fixes text for you
+
+[![PyPI package](https://badge.fury.io/py/ftfy.svg)](https://badge.fury.io/py/ftfy)
+[![Docs](https://readthedocs.org/projects/ftfy/badge/?version=latest)](https://ftfy.readthedocs.org/en/latest/)
+
+```python
+
+>>> from ftfy import fix_encoding
+>>> print(fix_encoding("(ง'⌣')ง"))
+(ง'⌣')ง
+
+```
+
+The full documentation of ftfy is available at [ftfy.readthedocs.org](https://ftfy.readthedocs.org). The documentation covers a lot more than this README, so here are some links into it:
+
+- [Fixing problems and getting explanations](https://ftfy.readthedocs.io/en/latest/explain.html)
+- [Configuring ftfy](https://ftfy.readthedocs.io/en/latest/config.html)
+- [Encodings ftfy can handle](https://ftfy.readthedocs.io/en/latest/encodings.html)
+- [“Fixer” functions](https://ftfy.readthedocs.io/en/latest/fixes.html)
+- [Is ftfy an encoding detector?](https://ftfy.readthedocs.io/en/latest/detect.html)
+- [Heuristics for detecting mojibake](https://ftfy.readthedocs.io/en/latest/heuristic.html)
+- [Support for “bad” encodings](https://ftfy.readthedocs.io/en/latest/bad_encodings.html)
+- [Command-line usage](https://ftfy.readthedocs.io/en/latest/cli.html)
+- [Citing ftfy](https://ftfy.readthedocs.io/en/latest/cite.html)
+
+## Testimonials
+
+- “My life is livable again!”
+  — [@planarrowspace](https://twitter.com/planarrowspace)
+- “A handy piece of magic”
+  — [@simonw](https://twitter.com/simonw)
+- “Saved me a large amount of frustrating dev work”
+  — [@iancal](https://twitter.com/iancal)
+- “ftfy did the right thing right away, with no faffing about. Excellent work, solving a very tricky real-world (whole-world!) problem.”
+  — Brennan Young
+- “I have no idea when I’m gonna need this, but I’m definitely bookmarking it.”
+  — [/u/ocrow](https://reddit.com/u/ocrow)
+
+## What it does
+
+Here are some examples (found in the real world) of what ftfy can do:
+
+ftfy can fix mojibake (encoding mix-ups), by detecting patterns of characters that were clearly meant to be UTF-8 but were decoded as something else:
+
+    >>> import ftfy
+    >>> ftfy.fix_text('✔ No problems')
+    '✔ No problems'
+
+Does this sound impossible? It's really not. UTF-8 is a well-designed encoding that makes it obvious when it's being misused, and a string of mojibake usually contains all the information we need to recover the original string.
+
+ftfy can fix multiple layers of mojibake simultaneously:
+
+    >>> ftfy.fix_text('The Mona Lisa doesn’t have eyebrows.')
+    "The Mona Lisa doesn't have eyebrows."
+
+It can fix mojibake that has had "curly quotes" applied on top of it, which cannot be consistently decoded until the quotes are uncurled:
+
+    >>> ftfy.fix_text("l’humanité")
+    "l'humanité"
+
+ftfy can fix mojibake that would have included the character U+A0 (non-breaking space), but the U+A0 was turned into an ASCII space and then combined with another following space:
+
+    >>> ftfy.fix_text('Ã\xa0 perturber la réflexion')
+    'à perturber la réflexion'
+    >>> ftfy.fix_text('à perturber la réflexion')
+    'à perturber la réflexion'
+
+ftfy can also decode HTML entities that appear outside of HTML, even in cases where the entity has been incorrectly capitalized:
+
+    >>> # by the HTML 5 standard, only 'P&Eacute;REZ' is acceptable
+    >>> ftfy.fix_text('P&EACUTE;REZ')
+    'PÉREZ'
+  
+These fixes are not applied in all cases, because ftfy has a strongly-held goal of avoiding false positives -- it should never change correctly-decoded text to something else.
+
+The following text could be encoded in Windows-1252 and decoded in UTF-8, and it would decode as 'MARQUɅ'. However, the original text is already sensible, so it is unchanged.
+
+    >>> ftfy.fix_text('IL Y MARQUÉ…')
+    'IL Y MARQUÉ…'
+
+## Installing
+
+ftfy is a Python 3 package that can be installed using `pip` or `uv pip`:
+
+    pip install ftfy
+
+(Or use `pip3 install ftfy` on systems where Python 2 and 3 are both globally installed and `pip` refers to Python 2.)
+
+If you use `poetry`, you can use ftfy as a dependency in the usual way (such as `poetry add ftfy`).
+
+### Local development
+
+ftfy is developed using [uv](https://github.com/astral-sh/uv). You can build a virtual environment with its local dependencies by running `uv venv`, and test it with `uv run pytest`.
+
+## Who maintains ftfy?
+
+I'm Robyn Speer, also known as Elia Robyn Lake. You can find my projects
+[on GitHub](https://github.com/rspeer) and my posts on [my own blog](https://posts.arborelia.net).
+
+## Citing ftfy
+
+ftfy has been used as a crucial data processing step in major NLP research.
+
+It's important to give credit appropriately to everyone whose work you build on in research. This includes software, not just high-status contributions such as mathematical models. All I ask when you use ftfy for research is that you cite it.
+
+ftfy has a citable record [on Zenodo](https://zenodo.org/record/2591652). A citation of ftfy may look like this:
+
+    Robyn Speer. (2019). ftfy (Version 5.5). Zenodo.
+    http://doi.org/10.5281/zenodo.2591652
+
+In BibTeX format, the citation is::
+
+    @misc{speer-2019-ftfy,
+      author       = {Robyn Speer},
+      title        = {ftfy},
+      note         = {Version 5.5},
+      year         = 2019,
+      howpublished = {Zenodo},
+      doi          = {10.5281/zenodo.2591652},
+      url          = {https://doi.org/10.5281/zenodo.2591652}
+    }
+
+## Important license clarifications
+
+If you do not follow ftfy's license, you do not have a license to ftfy.
+
+This sounds obvious and tautological, but there are people who think open source licenses mean that they can just do what they want, especially in the field of generative AI. It's a permissive license but you still have to follow it. The [Apache license](https://www.apache.org/licenses/LICENSE-2.0) is the only thing that gives you permission to use and copy ftfy; otherwise, all rights are reserved.
+
+If you use or distribute ftfy, you must follow the terms of the [Apache license](https://www.apache.org/licenses/LICENSE-2.0), including that you must attribute the author of ftfy (Robyn Speer) correctly.
+
+You _may not_ make a derived work of ftfy that obscures its authorship, such as by putting its code in an AI training dataset, including the code in AI training at runtime, or using a generative AI that copies code from such a dataset.
+
+At my discretion, I may notify you of a license violation, and give you a chance to either remedy it or delete all copies of ftfy in your possession.
+
diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/RECORD b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/RECORD
new file mode 100644
index 0000000000000000000000000000000000000000..cfb32f148096de8edb4cc472867bb774dcce2f6d
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/RECORD
@@ -0,0 +1,27 @@
+../../../bin/ftfy,sha256=5ETl199_N7sdm314lecQZRClJC6LZiy0tZjdPB2cOgU,221
+ftfy-6.3.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
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+ftfy-6.3.1.dist-info/entry_points.txt,sha256=sy4Ei29IqZhQRgYFC17GVrT1JkE6l1-ooJheKulSqO8,39
+ftfy-6.3.1.dist-info/licenses/LICENSE.txt,sha256=oL_FAgvC4eggVRoGJccMlfqomMFec3EA_0iAqhAZeFc,552
+ftfy/__init__.py,sha256=ekX6ZbJnR3UxmgWwpM2_0Eoizn82ukCYQRv57Bsiyzw,29593
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diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/REQUESTED b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/REQUESTED
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diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/WHEEL b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/WHEEL
new file mode 100644
index 0000000000000000000000000000000000000000..cdd68a497cdfa8d3f2b837225beacef711b85047
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/WHEEL
@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: hatchling 1.25.0
+Root-Is-Purelib: true
+Tag: py3-none-any
diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/entry_points.txt b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/entry_points.txt
new file mode 100644
index 0000000000000000000000000000000000000000..99476a44fd1015a1c391431110d1773503340096
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/entry_points.txt
@@ -0,0 +1,2 @@
+[console_scripts]
+ftfy = ftfy.cli:main
diff --git a/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/licenses/LICENSE.txt b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/licenses/LICENSE.txt
new file mode 100644
index 0000000000000000000000000000000000000000..275a4299e4d3204f13d5dec6cea39a852267b78d
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/ftfy-6.3.1.dist-info/licenses/LICENSE.txt
@@ -0,0 +1,13 @@
+Copyright 2023 Robyn Speer
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
diff --git a/minigpt2/lib/python3.10/site-packages/multipart/__init__.py b/minigpt2/lib/python3.10/site-packages/multipart/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..67f0e5bb403eb5b05821d846190b7b8ea482cc37
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/multipart/__init__.py
@@ -0,0 +1,24 @@
+# This only works if using a file system, other loaders not implemented.
+
+import importlib.util
+import sys
+import warnings
+from pathlib import Path
+
+for p in sys.path:
+    file_path = Path(p, "multipart.py")
+    try:
+        if file_path.is_file():
+            spec = importlib.util.spec_from_file_location("multipart", file_path)
+            assert spec is not None, f"{file_path} found but not loadable!"
+            module = importlib.util.module_from_spec(spec)
+            sys.modules["multipart"] = module
+            assert spec.loader is not None, f"{file_path} must be loadable!"
+            spec.loader.exec_module(module)
+            break
+    except PermissionError:
+        pass
+else:
+    warnings.warn("Please use `import python_multipart` instead.", PendingDeprecationWarning, stacklevel=2)
+    from python_multipart import *
+    from python_multipart import __all__, __author__, __copyright__, __license__, __version__
diff --git a/minigpt2/lib/python3.10/site-packages/multipart/__pycache__/__init__.cpython-310.pyc b/minigpt2/lib/python3.10/site-packages/multipart/__pycache__/__init__.cpython-310.pyc
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diff --git a/minigpt2/lib/python3.10/site-packages/multipart/__pycache__/multipart.cpython-310.pyc b/minigpt2/lib/python3.10/site-packages/multipart/__pycache__/multipart.cpython-310.pyc
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diff --git a/minigpt2/lib/python3.10/site-packages/multipart/decoders.py b/minigpt2/lib/python3.10/site-packages/multipart/decoders.py
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index 0000000000000000000000000000000000000000..31acdfbf1d69a0a13dcde2742fdeb6ff04e98e7d
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/multipart/decoders.py
@@ -0,0 +1 @@
+from python_multipart.decoders import *
diff --git a/minigpt2/lib/python3.10/site-packages/multipart/exceptions.py b/minigpt2/lib/python3.10/site-packages/multipart/exceptions.py
new file mode 100644
index 0000000000000000000000000000000000000000..36815d1980abcf496bf63b0ac93525053111dc79
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/multipart/exceptions.py
@@ -0,0 +1 @@
+from python_multipart.exceptions import *
diff --git a/minigpt2/lib/python3.10/site-packages/multipart/multipart.py b/minigpt2/lib/python3.10/site-packages/multipart/multipart.py
new file mode 100644
index 0000000000000000000000000000000000000000..7bf567dfc297e9e97c10073b2022efc993e39b93
--- /dev/null
+++ b/minigpt2/lib/python3.10/site-packages/multipart/multipart.py
@@ -0,0 +1 @@
+from python_multipart.multipart import *
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diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..e173e65104b68e2fae33f7b501402fcc0a21a1ef
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_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 cpu {
+
+TORCH_API at::Tensor _adaptive_avg_pool2d(const at::Tensor & self, at::IntArrayRef output_size);
+TORCH_API at::Tensor _adaptive_avg_pool2d_symint(const at::Tensor & self, c10::SymIntArrayRef output_size);
+
+} // namespace cpu
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_add_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_add_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..3fad5ab3e8b4102c5e2d5d80e684db6e16891a43
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_add_native.h
@@ -0,0 +1,40 @@
+#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 <c10/util/Optional.h>
+#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_add_scalar_kernel_slow(at::TensorList self, const at::Scalar & scalar);
+TORCH_API void _foreach_add_Scalar_out(at::TensorList self, const at::Scalar & scalar, at::TensorList out);
+TORCH_API void foreach_tensor_add_scalar_kernel_slow_(at::TensorList self, const at::Scalar & scalar);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_scalar_kernel_cuda(at::TensorList self, const at::Scalar & scalar);
+TORCH_API void foreach_tensor_add_scalar_kernel_cuda_(at::TensorList self, const at::Scalar & scalar);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_list_kernel_slow(at::TensorList self, at::TensorList other, const at::Scalar & alpha=1);
+TORCH_API void _foreach_add_List_out(at::TensorList self, at::TensorList other, const at::Scalar & alpha, at::TensorList out);
+TORCH_API void foreach_tensor_add_list_kernel_slow_(at::TensorList self, at::TensorList other, const at::Scalar & alpha=1);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_list_kernel_cuda(at::TensorList self, at::TensorList other, const at::Scalar & alpha=1);
+TORCH_API void foreach_tensor_add_list_kernel_cuda_(at::TensorList self, at::TensorList other, const at::Scalar & alpha=1);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_scalarlist_kernel_slow(at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+TORCH_API void _foreach_add_ScalarList_out(at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out);
+TORCH_API void foreach_tensor_add_scalarlist_kernel_slow_(at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_scalarlist_kernel_cuda(at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+TORCH_API void foreach_tensor_add_scalarlist_kernel_cuda_(at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_tensor_kernel_slow(at::TensorList self, const at::Tensor & other, const at::Scalar & alpha=1);
+TORCH_API void _foreach_add_Tensor_out(at::TensorList self, const at::Tensor & other, const at::Scalar & alpha, at::TensorList out);
+TORCH_API void foreach_tensor_add_tensor_kernel_slow_(at::TensorList self, const at::Tensor & other, const at::Scalar & alpha=1);
+TORCH_API ::std::vector<at::Tensor> foreach_tensor_add_tensor_kernel_cuda(at::TensorList self, const at::Tensor & other, const at::Scalar & alpha=1);
+TORCH_API void foreach_tensor_add_tensor_kernel_cuda_(at::TensorList self, const at::Tensor & other, const at::Scalar & alpha=1);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_div_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_div_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..a97528c8505429e4d9ef7d040bbc9a55196397c6
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_div_ops.h
@@ -0,0 +1,149 @@
+#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 _foreach_div_Scalar {
+  using schema = ::std::vector<at::Tensor> (at::TensorList, 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::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self, const at::Scalar & scalar);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar);
+};
+
+struct TORCH_API _foreach_div__Scalar {
+  using schema = void (at::TensorList, 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::_foreach_div_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()")
+  static void call(at::TensorList self, const at::Scalar & scalar);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar);
+};
+
+struct TORCH_API _foreach_div_List {
+  using schema = ::std::vector<at::Tensor> (at::TensorList, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "List")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.List(Tensor[] self, Tensor[] other) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self, at::TensorList other);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other);
+};
+
+struct TORCH_API _foreach_div__List {
+  using schema = void (at::TensorList, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "List")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> ()")
+  static void call(at::TensorList self, at::TensorList other);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other);
+};
+
+struct TORCH_API _foreach_div_ScalarList {
+  using schema = ::std::vector<at::Tensor> (at::TensorList, at::ArrayRef<at::Scalar>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarList")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+};
+
+struct TORCH_API _foreach_div__ScalarList {
+  using schema = void (at::TensorList, at::ArrayRef<at::Scalar>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarList")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()")
+  static void call(at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars);
+};
+
+struct TORCH_API _foreach_div_Tensor {
+  using schema = ::std::vector<at::Tensor> (at::TensorList, 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::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.Tensor(Tensor[] self, Tensor other) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self, const at::Tensor & other);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Tensor & other);
+};
+
+struct TORCH_API _foreach_div__Tensor {
+  using schema = void (at::TensorList, 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::_foreach_div_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div_.Tensor(Tensor(a!)[] self, Tensor other) -> ()")
+  static void call(at::TensorList self, const at::Tensor & other);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Tensor & other);
+};
+
+struct TORCH_API _foreach_div_Scalar_out {
+  using schema = void (at::TensorList, const at::Scalar &, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar_out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, const at::Scalar & scalar, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out);
+};
+
+struct TORCH_API _foreach_div_List_out {
+  using schema = void (at::TensorList, at::TensorList, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "List_out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, at::TensorList other, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out);
+};
+
+struct TORCH_API _foreach_div_ScalarList_out {
+  using schema = void (at::TensorList, at::ArrayRef<at::Scalar>, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarList_out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out);
+};
+
+struct TORCH_API _foreach_div_Tensor_out {
+  using schema = void (at::TensorList, const at::Tensor &, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_div")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor_out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_div.Tensor_out(Tensor[] self, Tensor other, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, const at::Tensor & other, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Tensor & other, at::TensorList out);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_max_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_max_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..af17fad00ab3117be6a774ccf3319cf81ea92c51
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_max_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 _foreach_max {
+  using schema = ::std::vector<at::Tensor> (at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_max")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_max(Tensor[] self) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self);
+};
+
+struct TORCH_API _foreach_max_out {
+  using schema = void (at::TensorList, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_max")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_max.out(Tensor[] self, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_is_zerotensor_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_is_zerotensor_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..bb3590051f05066ad5758deffc93bbef31fef76a
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_is_zerotensor_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 <c10/util/Optional.h>
+#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 bool _is_zerotensor(const at::Tensor & self);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_view_from_jagged_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_view_from_jagged_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..5127ff1f0312f675412976861009a598591df696
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_view_from_jagged_native.h
@@ -0,0 +1,20 @@
+#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 <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_reshape_alias_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_reshape_alias_meta_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..e6509f78d99d30590d67215f9650b22af057e8f8
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_reshape_alias_meta_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 meta {
+
+TORCH_API at::Tensor _reshape_alias(const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride);
+TORCH_API at::Tensor _reshape_alias_symint(const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride);
+
+} // namespace meta
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_optional_intlist_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_optional_intlist_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..f3ed4f5b973c1456d314a72d2ef2e758d8cad526
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_optional_intlist_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 _test_optional_intlist {
+  using schema = at::Tensor (const at::Tensor &, at::OptionalIntArrayRef);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_test_optional_intlist")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_test_optional_intlist(Tensor values, int[]? addends) -> Tensor")
+  static at::Tensor call(const at::Tensor & values, at::OptionalIntArrayRef addends);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, at::OptionalIntArrayRef addends);
+};
+
+struct TORCH_API _test_optional_intlist_out {
+  using schema = at::Tensor & (const at::Tensor &, at::OptionalIntArrayRef, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_test_optional_intlist")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_test_optional_intlist.out(Tensor values, int[]? addends, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & values, at::OptionalIntArrayRef addends, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, at::OptionalIntArrayRef addends, at::Tensor & out);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_parallel_materialize_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_parallel_materialize_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..72641db0aa6993de3a062c2dfd84a7bd7b82af22
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_parallel_materialize_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 <c10/util/Optional.h>
+#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 _test_parallel_materialize(const at::Tensor & self, int64_t num_parallel, bool skip_first=false);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_to_sparse_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_to_sparse_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..3d392f815c46db55eb9ed62d84078d3d65cde172
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_to_sparse_native.h
@@ -0,0 +1,28 @@
+#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 <c10/util/Optional.h>
+#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 & _to_sparse_sparse_dim_out(const at::Tensor & self, int64_t sparse_dim, at::Tensor & out);
+TORCH_API at::Tensor dense_to_sparse(const at::Tensor & self, int64_t sparse_dim);
+TORCH_API at::Tensor sparse_coo_to_sparse(const at::Tensor & self, int64_t sparse_dim);
+TORCH_API at::Tensor sparse_compressed_to_sparse(const at::Tensor & self, int64_t sparse_dim);
+TORCH_API at::Tensor & _to_sparse_out(const at::Tensor & self, ::std::optional<at::Layout> layout, at::OptionalIntArrayRef blocksize, ::std::optional<int64_t> dense_dim, at::Tensor & out);
+TORCH_API at::Tensor dense_to_sparse(const at::Tensor & self, ::std::optional<at::Layout> layout=::std::nullopt, at::OptionalIntArrayRef blocksize=::std::nullopt, ::std::optional<int64_t> dense_dim=::std::nullopt);
+TORCH_API at::Tensor sparse_coo_to_sparse(const at::Tensor & self, ::std::optional<at::Layout> layout=::std::nullopt, at::OptionalIntArrayRef blocksize=::std::nullopt, ::std::optional<int64_t> dense_dim=::std::nullopt);
+TORCH_API at::Tensor sparse_compressed_to_sparse(const at::Tensor & self, ::std::optional<at::Layout> layout=::std::nullopt, at::OptionalIntArrayRef blocksize=::std::nullopt, ::std::optional<int64_t> dense_dim=::std::nullopt);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_weight_int8pack_mm.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_weight_int8pack_mm.h
new file mode 100644
index 0000000000000000000000000000000000000000..74e7b80a48fc27c20260e0b39ef8663f626afc4b
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_weight_int8pack_mm.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 <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_weight_int8pack_mm_ops.h>
+
+namespace at {
+
+
+// aten::_weight_int8pack_mm(Tensor self, Tensor mat2, Tensor scales) -> Tensor
+inline at::Tensor _weight_int8pack_mm(const at::Tensor & self, const at::Tensor & mat2, const at::Tensor & scales) {
+    return at::_ops::_weight_int8pack_mm::call(self, mat2, scales);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/argmax_meta.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/argmax_meta.h
new file mode 100644
index 0000000000000000000000000000000000000000..6a1619443a88dd2f70eeb07fd98681ffa76d17e0
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/argmax_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 <c10/util/Optional.h>
+#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_argmax : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self, ::std::optional<int64_t> dim, bool keepdim);
+};
+
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..5eb13d29fd346e7d5b117a22654f5449cc89812f
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/batch_norm_update_stats_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 ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_update_stats_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const ::std::optional<at::Tensor> & running_mean, const ::std::optional<at::Tensor> & running_var, double momentum);
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_update_stats_outf(const at::Tensor & input, const ::std::optional<at::Tensor> & running_mean, const ::std::optional<at::Tensor> & running_var, double momentum, at::Tensor & out0, at::Tensor & out1);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/digamma_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/digamma_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..4c46a3a0d4adf99f198377d053e280143b60c8f6
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/digamma_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 digamma_ {
+  using schema = 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::digamma_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "digamma_(Tensor(a!) self) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self);
+};
+
+struct TORCH_API digamma_out {
+  using schema = at::Tensor & (const 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::digamma")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out);
+};
+
+struct TORCH_API digamma {
+  using schema = 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::digamma")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "digamma(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..74b577c528f9eb37b3bfc5142013669cdce983a7
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/einsum_compositeimplicitautograd_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 compositeimplicitautograd {
+
+TORCH_API at::Tensor einsum(c10::string_view equation, at::TensorList tensors, at::OptionalIntArrayRef path=::std::nullopt);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/elu_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/elu_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..6d308a207af09ab4cda49ede0734464c36ef869c
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/elu_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 elu_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Scalar &, const at::Scalar &, 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::elu")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "elu.out(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, at::Tensor & out);
+};
+
+struct TORCH_API elu {
+  using schema = at::Tensor (const at::Tensor &, const at::Scalar &, const at::Scalar &, 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::elu")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale);
+};
+
+struct TORCH_API elu_ {
+  using schema = at::Tensor & (at::Tensor &, const at::Scalar &, const at::Scalar &, 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::elu_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "elu_(Tensor(a!) self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/erfinv_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/erfinv_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..93661b78959e228109f840bace8058893dd5313e
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/erfinv_cuda_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 cuda {
+
+TORCH_API at::Tensor erfinv(const at::Tensor & self);
+TORCH_API at::Tensor & erfinv_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & erfinv_outf(const at::Tensor & self, at::Tensor & out);
+TORCH_API at::Tensor & erfinv_(at::Tensor & self);
+
+} // namespace cuda
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/expand.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/expand.h
new file mode 100644
index 0000000000000000000000000000000000000000..cc066dac3efe1cba6e32c20a8ec8a28948229574
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/expand.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 <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/expand_ops.h>
+
+namespace at {
+
+
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor expand(const at::Tensor & self, at::IntArrayRef size, bool implicit=false) {
+    return at::_ops::expand::call(self, c10::fromIntArrayRefSlow(size), implicit);
+  }
+}
+
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor expand(const at::Tensor & self, c10::SymIntArrayRef size, bool implicit=false) {
+    return at::_ops::expand::call(self, size, implicit);
+  }
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/index_add_meta.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/index_add_meta.h
new file mode 100644
index 0000000000000000000000000000000000000000..1c850f68d1656f952cb57efd9d0aa75b83c37f17
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/index_add_meta.h
@@ -0,0 +1,39 @@
+#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 <c10/util/Optional.h>
+#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_index_add : public at::impl::MetaBase {
+    
+                template <bool DIM = false>
+                struct TORCH_API precompute_out {
+                    
+                    precompute_out<true> set_dim(int64_t value) {
+                        static_assert(DIM == false, "dim already set");
+                        precompute_out<true> ret;
+ret.dim = value;
+return ret;
+                    }
+                
+                    int64_t dim;
+            };
+    using meta_return_ty = precompute_out <true>;
+    meta_return_ty meta(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha);
+};
+
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_vector_norm_meta.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_vector_norm_meta.h
new file mode 100644
index 0000000000000000000000000000000000000000..90f18e6bfa3a1084640e98b13452ed8821e0cec9
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_vector_norm_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 <c10/util/Optional.h>
+#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_linalg_vector_norm : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self, const at::Scalar & ord, at::OptionalIntArrayRef dim, bool keepdim, ::std::optional<at::ScalarType> dtype);
+};
+
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logit.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logit.h
new file mode 100644
index 0000000000000000000000000000000000000000..8dedaab15de23e49f2479b1a4062c3cb5f25748d
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logit.h
@@ -0,0 +1,44 @@
+#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 <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/logit_ops.h>
+
+namespace at {
+
+
+// aten::logit(Tensor self, float? eps=None) -> Tensor
+inline at::Tensor logit(const at::Tensor & self, ::std::optional<double> eps=::std::nullopt) {
+    return at::_ops::logit::call(self, eps);
+}
+
+// aten::logit_(Tensor(a!) self, float? eps=None) -> Tensor(a!)
+inline at::Tensor & logit_(at::Tensor & self, ::std::optional<double> eps=::std::nullopt) {
+    return at::_ops::logit_::call(self, eps);
+}
+
+// aten::logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & logit_out(at::Tensor & out, const at::Tensor & self, ::std::optional<double> eps=::std::nullopt) {
+    return at::_ops::logit_out::call(self, eps, out);
+}
+// aten::logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & logit_outf(const at::Tensor & self, ::std::optional<double> eps, at::Tensor & out) {
+    return at::_ops::logit_out::call(self, eps, out);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..ce9ae3041d664f991cc4f62a4a6697c5595f5d3f
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/mkldnn_linear_backward_weights_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 mkldnn_linear_backward_weights {
+  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::mkldnn_linear_backward_weights")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "mkldnn_linear_backward_weights(Tensor grad_output, Tensor input, Tensor weight, bool bias_defined) -> (Tensor, Tensor)")
+  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined);
+  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined);
+};
+
+struct TORCH_API mkldnn_linear_backward_weights_out {
+  using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, const at::Tensor &, const at::Tensor &, bool, 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::mkldnn_linear_backward_weights")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "mkldnn_linear_backward_weights.out(Tensor grad_output, Tensor input, Tensor weight, bool bias_defined, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))")
+  static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined, at::Tensor & out0, at::Tensor & out1);
+  static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined, at::Tensor & out0, at::Tensor & out1);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multiply_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multiply_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..a7c3737e20c0daba70dd8f2375d55205c6bd7275
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multiply_ops.h
@@ -0,0 +1,72 @@
+#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 multiply_Tensor {
+  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::multiply")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply.Tensor(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);
+};
+
+struct TORCH_API multiply__Tensor {
+  using schema = at::Tensor & (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::multiply_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, const at::Tensor & other);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other);
+};
+
+struct TORCH_API multiply_out {
+  using schema = at::Tensor & (const at::Tensor &, const 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::multiply")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+};
+
+struct TORCH_API multiply_Scalar {
+  using schema = 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::multiply")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply.Scalar(Tensor self, Scalar other) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, const at::Scalar & other);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other);
+};
+
+struct TORCH_API multiply__Scalar {
+  using schema = at::Tensor & (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::multiply_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "multiply_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, const at::Scalar & other);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/neg_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/neg_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..b446677f12be9af27fffd74a179ec1b449cd9aca
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/neg_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 neg {
+  using schema = 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::neg")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "neg(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+struct TORCH_API neg_ {
+  using schema = 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::neg_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "neg_(Tensor(a!) self) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self);
+};
+
+struct TORCH_API neg_out {
+  using schema = at::Tensor & (const 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::neg")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "neg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/new_ones_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/new_ones_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..0047b7000dd3a3d7c8eed3d57db80e955bb7d293
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/new_ones_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 <c10/util/Optional.h>
+#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 new_ones(const at::Tensor & self, at::IntArrayRef size, ::std::optional<at::ScalarType> dtype={}, ::std::optional<at::Layout> layout={}, ::std::optional<at::Device> device={}, ::std::optional<bool> pin_memory={});
+TORCH_API at::Tensor & new_ones_out_symint(const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..87156b90bee56f01ea1f9bb9ee6847e44f2d4b32
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h
@@ -0,0 +1,28 @@
+#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 at::Tensor nll_loss2d_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight);
+TORCH_API at::Tensor nll_loss2d_backward_symint(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight);
+TORCH_API at::Tensor & nll_loss2d_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, int64_t ignore_index, const at::Tensor & total_weight);
+TORCH_API at::Tensor & nll_loss2d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input);
+TORCH_API at::Tensor & nll_loss2d_backward_symint_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, c10::SymInt ignore_index, const at::Tensor & total_weight);
+TORCH_API at::Tensor & nll_loss2d_backward_symint_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const ::std::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input);
+
+} // namespace cuda
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..9ba69e90ecf528054d2f712d37f16dccfafd02cb
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/quantized_max_pool1d_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 & quantized_max_pool1d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false);
+TORCH_API at::Tensor & quantized_max_pool1d_outf(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/resize_as_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/resize_as_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..eaef6cfa1e4d4b51a8b28f8289c2f0907c2ba736
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/resize_as_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 resize_as_ {
+  using schema = const at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::resize_as_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "resize_as_(Tensor(a!) self, Tensor the_template, *, MemoryFormat? memory_format=None) -> Tensor(a!)")
+  static const at::Tensor & call(const at::Tensor & self, const at::Tensor & the_template, ::std::optional<at::MemoryFormat> memory_format);
+  static const at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, ::std::optional<at::MemoryFormat> memory_format);
+};
+
+struct TORCH_API resize_as_out {
+  using schema = const at::Tensor & (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>, 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::resize_as")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "resize_as.out(Tensor self, Tensor the_template, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)")
+  static const at::Tensor & call(const at::Tensor & self, const at::Tensor & the_template, ::std::optional<at::MemoryFormat> memory_format, const at::Tensor & out);
+  static const at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, ::std::optional<at::MemoryFormat> memory_format, const at::Tensor & out);
+};
+
+struct TORCH_API resize_as {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, ::std::optional<at::MemoryFormat>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::resize_as")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "resize_as(Tensor self, Tensor the_template, *, MemoryFormat? memory_format=None) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, const at::Tensor & the_template, ::std::optional<at::MemoryFormat> memory_format);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, ::std::optional<at::MemoryFormat> memory_format);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/selu_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/selu_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..bdc19ad8102e7aba653b21f59f2eeef8d3a4d3e3
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/selu_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 selu {
+  using schema = 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::selu")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "selu(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+struct TORCH_API selu_ {
+  using schema = 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::selu_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "selu_(Tensor(a!) self) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slice_scatter_compositeexplicitautogradnonfunctional_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slice_scatter_compositeexplicitautogradnonfunctional_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..721837de96b90eab6ca3256221fb56b98330c979
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slice_scatter_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 slice_scatter(const at::Tensor & self, const at::Tensor & src, int64_t dim=0, ::std::optional<int64_t> start=::std::nullopt, ::std::optional<int64_t> end=::std::nullopt, int64_t step=1);
+TORCH_API at::Tensor slice_scatter_symint(const at::Tensor & self, const at::Tensor & src, int64_t dim=0, ::std::optional<c10::SymInt> start=::std::nullopt, ::std::optional<c10::SymInt> end=::std::nullopt, c10::SymInt step=1);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/softshrink.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/softshrink.h
new file mode 100644
index 0000000000000000000000000000000000000000..0c4feb4e0ff47670c436071b1fe0ce0041d3299e
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/softshrink.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 <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/softshrink_ops.h>
+
+namespace at {
+
+
+// aten::softshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & softshrink_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5) {
+    return at::_ops::softshrink_out::call(self, lambd, out);
+}
+// aten::softshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & softshrink_outf(const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out) {
+    return at::_ops::softshrink_out::call(self, lambd, out);
+}
+
+// aten::softshrink(Tensor self, Scalar lambd=0.5) -> Tensor
+inline at::Tensor softshrink(const at::Tensor & self, const at::Scalar & lambd=0.5) {
+    return at::_ops::softshrink::call(self, lambd);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..f2b3f8ddf071b56969ecfa467d4a162e5ca3ceb6
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_scaled_modified_bessel_k0_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 special_scaled_modified_bessel_k0(const at::Tensor & x);
+TORCH_API at::Tensor & special_scaled_modified_bessel_k0_out(at::Tensor & out, const at::Tensor & x);
+TORCH_API at::Tensor & special_scaled_modified_bessel_k0_outf(const at::Tensor & x, at::Tensor & out);
+
+} // namespace cpu
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/std_mean.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/std_mean.h
new file mode 100644
index 0000000000000000000000000000000000000000..75034976aeb794fa6316e83fb66b7b5d8df07881
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/std_mean.h
@@ -0,0 +1,59 @@
+#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 <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/std_mean_ops.h>
+
+namespace at {
+
+
+// aten::std_mean(Tensor self, bool unbiased=True) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, bool unbiased) {
+    return at::_ops::std_mean::call(self, unbiased);
+}
+
+// aten::std_mean.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) {
+    return at::_ops::std_mean_dim::call(self, dim, unbiased, keepdim);
+}
+
+// aten::std_mean.correction(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::OptionalIntArrayRef dim=::std::nullopt, const ::std::optional<at::Scalar> & correction=::std::nullopt, bool keepdim=false) {
+    return at::_ops::std_mean_correction::call(self, dim, correction, keepdim);
+}
+
+// aten::std_mean.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) {
+    return at::_ops::std_mean_names_dim::call(self, dim, unbiased, keepdim);
+}
+
+// aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, Scalar? correction=None, bool keepdim=False) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::DimnameList dim, const ::std::optional<at::Scalar> & correction=::std::nullopt, bool keepdim=false) {
+    return at::_ops::std_mean_correction_names::call(self, dim, correction, keepdim);
+}
+
+// aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+inline ::std::tuple<at::Tensor &,at::Tensor &> std_mean_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, at::OptionalIntArrayRef dim=::std::nullopt, const ::std::optional<at::Scalar> & correction=::std::nullopt, bool keepdim=false) {
+    return at::_ops::std_mean_correction_out::call(self, dim, correction, keepdim, out0, out1);
+}
+// aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, Scalar? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+inline ::std::tuple<at::Tensor &,at::Tensor &> std_mean_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, const ::std::optional<at::Scalar> & correction, bool keepdim, at::Tensor & out0, at::Tensor & out1) {
+    return at::_ops::std_mean_correction_out::call(self, dim, correction, keepdim, out0, out1);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..8ac20e4a3b77b9b5e2ff35de21e45b84ea0c24c1
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_dim_consecutive_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 ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_dim_consecutive_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, int64_t dim, bool return_inverse=false, bool return_counts=false);
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_dim_consecutive_outf(const at::Tensor & self, int64_t dim, bool return_inverse, bool return_counts, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/view_as_complex_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/view_as_complex_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..0547319778f01264a924783f72fad970d45c0136
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/view_as_complex_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 view_as_complex {
+  using schema = 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::view_as_complex")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "view_as_complex(Tensor(a) self) -> Tensor(a)")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+}} // namespace at::_ops