diff --git a/.gitattributes b/.gitattributes
index 2533eedc9ed4557f2dba803ce83cf6a8d19b7f20..818f65d2eb51fb83cdc82e86395e3be046817618 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -434,3 +434,4 @@ openflamingo/bin/python filter=lfs diff=lfs merge=lfs -text
 llava/lib/libtcl8.6.so filter=lfs diff=lfs merge=lfs -text
 llava/lib/python3.10/ensurepip/_bundled/setuptools-65.5.0-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
 llava/lib/python3.10/tkinter/__pycache__/__init__.cpython-310.pyc filter=lfs diff=lfs merge=lfs -text
+llava/lib/python3.10/ensurepip/_bundled/pip-23.0.1-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
diff --git a/llava/lib/python3.10/ensurepip/_bundled/pip-23.0.1-py3-none-any.whl b/llava/lib/python3.10/ensurepip/_bundled/pip-23.0.1-py3-none-any.whl
new file mode 100644
index 0000000000000000000000000000000000000000..c7e03d464c9687907f77dc23718365528a05ac0b
--- /dev/null
+++ b/llava/lib/python3.10/ensurepip/_bundled/pip-23.0.1-py3-none-any.whl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:236bcb61156d76c4b8a05821b988c7b8c35bf0da28a4b614e8d6ab5212c25c6f
+size 2055563
diff --git a/llava/lib/python3.10/lib2to3/PatternGrammar.txt b/llava/lib/python3.10/lib2to3/PatternGrammar.txt
new file mode 100644
index 0000000000000000000000000000000000000000..36bf8148273bd7a27b4a76817a776fe2ab234562
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/PatternGrammar.txt
@@ -0,0 +1,28 @@
+# Copyright 2006 Google, Inc. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+# A grammar to describe tree matching patterns.
+# Not shown here:
+# - 'TOKEN' stands for any token (leaf node)
+# - 'any' stands for any node (leaf or interior)
+# With 'any' we can still specify the sub-structure.
+
+# The start symbol is 'Matcher'.
+
+Matcher: Alternatives ENDMARKER
+
+Alternatives: Alternative ('|' Alternative)*
+
+Alternative: (Unit | NegatedUnit)+
+
+Unit: [NAME '='] ( STRING [Repeater]
+                 | NAME [Details] [Repeater]
+                 | '(' Alternatives ')' [Repeater]
+                 | '[' Alternatives ']'
+		 )
+
+NegatedUnit: 'not' (STRING | NAME [Details] | '(' Alternatives ')')
+
+Repeater: '*' | '+' | '{' NUMBER [',' NUMBER] '}'
+
+Details: '<' Alternatives '>'
diff --git a/llava/lib/python3.10/lib2to3/__init__.py b/llava/lib/python3.10/lib2to3/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..4224dffef429570a3aaca3c1cc3a258a8f322251
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/__init__.py
@@ -0,0 +1,8 @@
+import warnings
+
+
+warnings.warn(
+    "lib2to3 package is deprecated and may not be able to parse Python 3.10+",
+    PendingDeprecationWarning,
+    stacklevel=2,
+)
diff --git a/llava/lib/python3.10/lib2to3/__main__.py b/llava/lib/python3.10/lib2to3/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..80688baf27abfcaf99ea680787f17212747db5f6
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/__main__.py
@@ -0,0 +1,4 @@
+import sys
+from .main import main
+
+sys.exit(main("lib2to3.fixes"))
diff --git a/llava/lib/python3.10/lib2to3/btm_matcher.py b/llava/lib/python3.10/lib2to3/btm_matcher.py
new file mode 100644
index 0000000000000000000000000000000000000000..3b78868038bda0733f03995e3f31c517c17bdc00
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/btm_matcher.py
@@ -0,0 +1,163 @@
+"""A bottom-up tree matching algorithm implementation meant to speed
+up 2to3's matching process. After the tree patterns are reduced to
+their rarest linear path, a linear Aho-Corasick automaton is
+created. The linear automaton traverses the linear paths from the
+leaves to the root of the AST and returns a set of nodes for further
+matching. This reduces significantly the number of candidate nodes."""
+
+__author__ = "George Boutsioukis <gboutsioukis@gmail.com>"
+
+import logging
+import itertools
+from collections import defaultdict
+
+from . import pytree
+from .btm_utils import reduce_tree
+
+class BMNode(object):
+    """Class for a node of the Aho-Corasick automaton used in matching"""
+    count = itertools.count()
+    def __init__(self):
+        self.transition_table = {}
+        self.fixers = []
+        self.id = next(BMNode.count)
+        self.content = ''
+
+class BottomMatcher(object):
+    """The main matcher class. After instantiating the patterns should
+    be added using the add_fixer method"""
+
+    def __init__(self):
+        self.match = set()
+        self.root = BMNode()
+        self.nodes = [self.root]
+        self.fixers = []
+        self.logger = logging.getLogger("RefactoringTool")
+
+    def add_fixer(self, fixer):
+        """Reduces a fixer's pattern tree to a linear path and adds it
+        to the matcher(a common Aho-Corasick automaton). The fixer is
+        appended on the matching states and called when they are
+        reached"""
+        self.fixers.append(fixer)
+        tree = reduce_tree(fixer.pattern_tree)
+        linear = tree.get_linear_subpattern()
+        match_nodes = self.add(linear, start=self.root)
+        for match_node in match_nodes:
+            match_node.fixers.append(fixer)
+
+    def add(self, pattern, start):
+        "Recursively adds a linear pattern to the AC automaton"
+        #print("adding pattern", pattern, "to", start)
+        if not pattern:
+            #print("empty pattern")
+            return [start]
+        if isinstance(pattern[0], tuple):
+            #alternatives
+            #print("alternatives")
+            match_nodes = []
+            for alternative in pattern[0]:
+                #add all alternatives, and add the rest of the pattern
+                #to each end node
+                end_nodes = self.add(alternative, start=start)
+                for end in end_nodes:
+                    match_nodes.extend(self.add(pattern[1:], end))
+            return match_nodes
+        else:
+            #single token
+            #not last
+            if pattern[0] not in start.transition_table:
+                #transition did not exist, create new
+                next_node = BMNode()
+                start.transition_table[pattern[0]] = next_node
+            else:
+                #transition exists already, follow
+                next_node = start.transition_table[pattern[0]]
+
+            if pattern[1:]:
+                end_nodes = self.add(pattern[1:], start=next_node)
+            else:
+                end_nodes = [next_node]
+            return end_nodes
+
+    def run(self, leaves):
+        """The main interface with the bottom matcher. The tree is
+        traversed from the bottom using the constructed
+        automaton. Nodes are only checked once as the tree is
+        retraversed. When the automaton fails, we give it one more
+        shot(in case the above tree matches as a whole with the
+        rejected leaf), then we break for the next leaf. There is the
+        special case of multiple arguments(see code comments) where we
+        recheck the nodes
+
+        Args:
+           The leaves of the AST tree to be matched
+
+        Returns:
+           A dictionary of node matches with fixers as the keys
+        """
+        current_ac_node = self.root
+        results = defaultdict(list)
+        for leaf in leaves:
+            current_ast_node = leaf
+            while current_ast_node:
+                current_ast_node.was_checked = True
+                for child in current_ast_node.children:
+                    # multiple statements, recheck
+                    if isinstance(child, pytree.Leaf) and child.value == ";":
+                        current_ast_node.was_checked = False
+                        break
+                if current_ast_node.type == 1:
+                    #name
+                    node_token = current_ast_node.value
+                else:
+                    node_token = current_ast_node.type
+
+                if node_token in current_ac_node.transition_table:
+                    #token matches
+                    current_ac_node = current_ac_node.transition_table[node_token]
+                    for fixer in current_ac_node.fixers:
+                        results[fixer].append(current_ast_node)
+                else:
+                    #matching failed, reset automaton
+                    current_ac_node = self.root
+                    if (current_ast_node.parent is not None
+                        and current_ast_node.parent.was_checked):
+                        #the rest of the tree upwards has been checked, next leaf
+                        break
+
+                    #recheck the rejected node once from the root
+                    if node_token in current_ac_node.transition_table:
+                        #token matches
+                        current_ac_node = current_ac_node.transition_table[node_token]
+                        for fixer in current_ac_node.fixers:
+                            results[fixer].append(current_ast_node)
+
+                current_ast_node = current_ast_node.parent
+        return results
+
+    def print_ac(self):
+        "Prints a graphviz diagram of the BM automaton(for debugging)"
+        print("digraph g{")
+        def print_node(node):
+            for subnode_key in node.transition_table.keys():
+                subnode = node.transition_table[subnode_key]
+                print("%d -> %d [label=%s] //%s" %
+                      (node.id, subnode.id, type_repr(subnode_key), str(subnode.fixers)))
+                if subnode_key == 1:
+                    print(subnode.content)
+                print_node(subnode)
+        print_node(self.root)
+        print("}")
+
+# taken from pytree.py for debugging; only used by print_ac
+_type_reprs = {}
+def type_repr(type_num):
+    global _type_reprs
+    if not _type_reprs:
+        from .pygram import python_symbols
+        # printing tokens is possible but not as useful
+        # from .pgen2 import token // token.__dict__.items():
+        for name, val in python_symbols.__dict__.items():
+            if type(val) == int: _type_reprs[val] = name
+    return _type_reprs.setdefault(type_num, type_num)
diff --git a/llava/lib/python3.10/lib2to3/btm_utils.py b/llava/lib/python3.10/lib2to3/btm_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..ff76ba340470729f7e44ec2ce19afc7cc1ca931a
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/btm_utils.py
@@ -0,0 +1,281 @@
+"Utility functions used by the btm_matcher module"
+
+from . import pytree
+from .pgen2 import grammar, token
+from .pygram import pattern_symbols, python_symbols
+
+syms = pattern_symbols
+pysyms = python_symbols
+tokens = grammar.opmap
+token_labels = token
+
+TYPE_ANY = -1
+TYPE_ALTERNATIVES = -2
+TYPE_GROUP = -3
+
+class MinNode(object):
+    """This class serves as an intermediate representation of the
+    pattern tree during the conversion to sets of leaf-to-root
+    subpatterns"""
+
+    def __init__(self, type=None, name=None):
+        self.type = type
+        self.name = name
+        self.children = []
+        self.leaf = False
+        self.parent = None
+        self.alternatives = []
+        self.group = []
+
+    def __repr__(self):
+        return str(self.type) + ' ' + str(self.name)
+
+    def leaf_to_root(self):
+        """Internal method. Returns a characteristic path of the
+        pattern tree. This method must be run for all leaves until the
+        linear subpatterns are merged into a single"""
+        node = self
+        subp = []
+        while node:
+            if node.type == TYPE_ALTERNATIVES:
+                node.alternatives.append(subp)
+                if len(node.alternatives) == len(node.children):
+                    #last alternative
+                    subp = [tuple(node.alternatives)]
+                    node.alternatives = []
+                    node = node.parent
+                    continue
+                else:
+                    node = node.parent
+                    subp = None
+                    break
+
+            if node.type == TYPE_GROUP:
+                node.group.append(subp)
+                #probably should check the number of leaves
+                if len(node.group) == len(node.children):
+                    subp = get_characteristic_subpattern(node.group)
+                    node.group = []
+                    node = node.parent
+                    continue
+                else:
+                    node = node.parent
+                    subp = None
+                    break
+
+            if node.type == token_labels.NAME and node.name:
+                #in case of type=name, use the name instead
+                subp.append(node.name)
+            else:
+                subp.append(node.type)
+
+            node = node.parent
+        return subp
+
+    def get_linear_subpattern(self):
+        """Drives the leaf_to_root method. The reason that
+        leaf_to_root must be run multiple times is because we need to
+        reject 'group' matches; for example the alternative form
+        (a | b c) creates a group [b c] that needs to be matched. Since
+        matching multiple linear patterns overcomes the automaton's
+        capabilities, leaf_to_root merges each group into a single
+        choice based on 'characteristic'ity,
+
+        i.e. (a|b c) -> (a|b) if b more characteristic than c
+
+        Returns: The most 'characteristic'(as defined by
+          get_characteristic_subpattern) path for the compiled pattern
+          tree.
+        """
+
+        for l in self.leaves():
+            subp = l.leaf_to_root()
+            if subp:
+                return subp
+
+    def leaves(self):
+        "Generator that returns the leaves of the tree"
+        for child in self.children:
+            yield from child.leaves()
+        if not self.children:
+            yield self
+
+def reduce_tree(node, parent=None):
+    """
+    Internal function. Reduces a compiled pattern tree to an
+    intermediate representation suitable for feeding the
+    automaton. This also trims off any optional pattern elements(like
+    [a], a*).
+    """
+
+    new_node = None
+    #switch on the node type
+    if node.type == syms.Matcher:
+        #skip
+        node = node.children[0]
+
+    if node.type == syms.Alternatives  :
+        #2 cases
+        if len(node.children) <= 2:
+            #just a single 'Alternative', skip this node
+            new_node = reduce_tree(node.children[0], parent)
+        else:
+            #real alternatives
+            new_node = MinNode(type=TYPE_ALTERNATIVES)
+            #skip odd children('|' tokens)
+            for child in node.children:
+                if node.children.index(child)%2:
+                    continue
+                reduced = reduce_tree(child, new_node)
+                if reduced is not None:
+                    new_node.children.append(reduced)
+    elif node.type == syms.Alternative:
+        if len(node.children) > 1:
+
+            new_node = MinNode(type=TYPE_GROUP)
+            for child in node.children:
+                reduced = reduce_tree(child, new_node)
+                if reduced:
+                    new_node.children.append(reduced)
+            if not new_node.children:
+                # delete the group if all of the children were reduced to None
+                new_node = None
+
+        else:
+            new_node = reduce_tree(node.children[0], parent)
+
+    elif node.type == syms.Unit:
+        if (isinstance(node.children[0], pytree.Leaf) and
+            node.children[0].value == '('):
+            #skip parentheses
+            return reduce_tree(node.children[1], parent)
+        if ((isinstance(node.children[0], pytree.Leaf) and
+               node.children[0].value == '[')
+               or
+               (len(node.children)>1 and
+               hasattr(node.children[1], "value") and
+               node.children[1].value == '[')):
+            #skip whole unit if its optional
+            return None
+
+        leaf = True
+        details_node = None
+        alternatives_node = None
+        has_repeater = False
+        repeater_node = None
+        has_variable_name = False
+
+        for child in node.children:
+            if child.type == syms.Details:
+                leaf = False
+                details_node = child
+            elif child.type == syms.Repeater:
+                has_repeater = True
+                repeater_node = child
+            elif child.type == syms.Alternatives:
+                alternatives_node = child
+            if hasattr(child, 'value') and child.value == '=': # variable name
+                has_variable_name = True
+
+        #skip variable name
+        if has_variable_name:
+            #skip variable name, '='
+            name_leaf = node.children[2]
+            if hasattr(name_leaf, 'value') and name_leaf.value == '(':
+                # skip parenthesis
+                name_leaf = node.children[3]
+        else:
+            name_leaf = node.children[0]
+
+        #set node type
+        if name_leaf.type == token_labels.NAME:
+            #(python) non-name or wildcard
+            if name_leaf.value == 'any':
+                new_node = MinNode(type=TYPE_ANY)
+            else:
+                if hasattr(token_labels, name_leaf.value):
+                    new_node = MinNode(type=getattr(token_labels, name_leaf.value))
+                else:
+                    new_node = MinNode(type=getattr(pysyms, name_leaf.value))
+
+        elif name_leaf.type == token_labels.STRING:
+            #(python) name or character; remove the apostrophes from
+            #the string value
+            name = name_leaf.value.strip("'")
+            if name in tokens:
+                new_node = MinNode(type=tokens[name])
+            else:
+                new_node = MinNode(type=token_labels.NAME, name=name)
+        elif name_leaf.type == syms.Alternatives:
+            new_node = reduce_tree(alternatives_node, parent)
+
+        #handle repeaters
+        if has_repeater:
+            if repeater_node.children[0].value == '*':
+                #reduce to None
+                new_node = None
+            elif repeater_node.children[0].value == '+':
+                #reduce to a single occurrence i.e. do nothing
+                pass
+            else:
+                #TODO: handle {min, max} repeaters
+                raise NotImplementedError
+                pass
+
+        #add children
+        if details_node and new_node is not None:
+            for child in details_node.children[1:-1]:
+                #skip '<', '>' markers
+                reduced = reduce_tree(child, new_node)
+                if reduced is not None:
+                    new_node.children.append(reduced)
+    if new_node:
+        new_node.parent = parent
+    return new_node
+
+
+def get_characteristic_subpattern(subpatterns):
+    """Picks the most characteristic from a list of linear patterns
+    Current order used is:
+    names > common_names > common_chars
+    """
+    if not isinstance(subpatterns, list):
+        return subpatterns
+    if len(subpatterns)==1:
+        return subpatterns[0]
+
+    # first pick out the ones containing variable names
+    subpatterns_with_names = []
+    subpatterns_with_common_names = []
+    common_names = ['in', 'for', 'if' , 'not', 'None']
+    subpatterns_with_common_chars = []
+    common_chars = "[]().,:"
+    for subpattern in subpatterns:
+        if any(rec_test(subpattern, lambda x: type(x) is str)):
+            if any(rec_test(subpattern,
+                            lambda x: isinstance(x, str) and x in common_chars)):
+                subpatterns_with_common_chars.append(subpattern)
+            elif any(rec_test(subpattern,
+                              lambda x: isinstance(x, str) and x in common_names)):
+                subpatterns_with_common_names.append(subpattern)
+
+            else:
+                subpatterns_with_names.append(subpattern)
+
+    if subpatterns_with_names:
+        subpatterns = subpatterns_with_names
+    elif subpatterns_with_common_names:
+        subpatterns = subpatterns_with_common_names
+    elif subpatterns_with_common_chars:
+        subpatterns = subpatterns_with_common_chars
+    # of the remaining subpatterns pick out the longest one
+    return max(subpatterns, key=len)
+
+def rec_test(sequence, test_func):
+    """Tests test_func on all items of sequence and items of included
+    sub-iterables"""
+    for x in sequence:
+        if isinstance(x, (list, tuple)):
+            yield from rec_test(x, test_func)
+        else:
+            yield test_func(x)
diff --git a/llava/lib/python3.10/lib2to3/fixer_base.py b/llava/lib/python3.10/lib2to3/fixer_base.py
new file mode 100644
index 0000000000000000000000000000000000000000..df581a4deab9e93aade8591bf13f949050d7e50d
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/fixer_base.py
@@ -0,0 +1,186 @@
+# Copyright 2006 Google, Inc. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""Base class for fixers (optional, but recommended)."""
+
+# Python imports
+import itertools
+
+# Local imports
+from .patcomp import PatternCompiler
+from . import pygram
+from .fixer_util import does_tree_import
+
+class BaseFix(object):
+
+    """Optional base class for fixers.
+
+    The subclass name must be FixFooBar where FooBar is the result of
+    removing underscores and capitalizing the words of the fix name.
+    For example, the class name for a fixer named 'has_key' should be
+    FixHasKey.
+    """
+
+    PATTERN = None  # Most subclasses should override with a string literal
+    pattern = None  # Compiled pattern, set by compile_pattern()
+    pattern_tree = None # Tree representation of the pattern
+    options = None  # Options object passed to initializer
+    filename = None # The filename (set by set_filename)
+    numbers = itertools.count(1) # For new_name()
+    used_names = set() # A set of all used NAMEs
+    order = "post" # Does the fixer prefer pre- or post-order traversal
+    explicit = False # Is this ignored by refactor.py -f all?
+    run_order = 5   # Fixers will be sorted by run order before execution
+                    # Lower numbers will be run first.
+    _accept_type = None # [Advanced and not public] This tells RefactoringTool
+                        # which node type to accept when there's not a pattern.
+
+    keep_line_order = False # For the bottom matcher: match with the
+                            # original line order
+    BM_compatible = False # Compatibility with the bottom matching
+                          # module; every fixer should set this
+                          # manually
+
+    # Shortcut for access to Python grammar symbols
+    syms = pygram.python_symbols
+
+    def __init__(self, options, log):
+        """Initializer.  Subclass may override.
+
+        Args:
+            options: a dict containing the options passed to RefactoringTool
+            that could be used to customize the fixer through the command line.
+            log: a list to append warnings and other messages to.
+        """
+        self.options = options
+        self.log = log
+        self.compile_pattern()
+
+    def compile_pattern(self):
+        """Compiles self.PATTERN into self.pattern.
+
+        Subclass may override if it doesn't want to use
+        self.{pattern,PATTERN} in .match().
+        """
+        if self.PATTERN is not None:
+            PC = PatternCompiler()
+            self.pattern, self.pattern_tree = PC.compile_pattern(self.PATTERN,
+                                                                 with_tree=True)
+
+    def set_filename(self, filename):
+        """Set the filename.
+
+        The main refactoring tool should call this.
+        """
+        self.filename = filename
+
+    def match(self, node):
+        """Returns match for a given parse tree node.
+
+        Should return a true or false object (not necessarily a bool).
+        It may return a non-empty dict of matching sub-nodes as
+        returned by a matching pattern.
+
+        Subclass may override.
+        """
+        results = {"node": node}
+        return self.pattern.match(node, results) and results
+
+    def transform(self, node, results):
+        """Returns the transformation for a given parse tree node.
+
+        Args:
+          node: the root of the parse tree that matched the fixer.
+          results: a dict mapping symbolic names to part of the match.
+
+        Returns:
+          None, or a node that is a modified copy of the
+          argument node.  The node argument may also be modified in-place to
+          effect the same change.
+
+        Subclass *must* override.
+        """
+        raise NotImplementedError()
+
+    def new_name(self, template="xxx_todo_changeme"):
+        """Return a string suitable for use as an identifier
+
+        The new name is guaranteed not to conflict with other identifiers.
+        """
+        name = template
+        while name in self.used_names:
+            name = template + str(next(self.numbers))
+        self.used_names.add(name)
+        return name
+
+    def log_message(self, message):
+        if self.first_log:
+            self.first_log = False
+            self.log.append("### In file %s ###" % self.filename)
+        self.log.append(message)
+
+    def cannot_convert(self, node, reason=None):
+        """Warn the user that a given chunk of code is not valid Python 3,
+        but that it cannot be converted automatically.
+
+        First argument is the top-level node for the code in question.
+        Optional second argument is why it can't be converted.
+        """
+        lineno = node.get_lineno()
+        for_output = node.clone()
+        for_output.prefix = ""
+        msg = "Line %d: could not convert: %s"
+        self.log_message(msg % (lineno, for_output))
+        if reason:
+            self.log_message(reason)
+
+    def warning(self, node, reason):
+        """Used for warning the user about possible uncertainty in the
+        translation.
+
+        First argument is the top-level node for the code in question.
+        Optional second argument is why it can't be converted.
+        """
+        lineno = node.get_lineno()
+        self.log_message("Line %d: %s" % (lineno, reason))
+
+    def start_tree(self, tree, filename):
+        """Some fixers need to maintain tree-wide state.
+        This method is called once, at the start of tree fix-up.
+
+        tree - the root node of the tree to be processed.
+        filename - the name of the file the tree came from.
+        """
+        self.used_names = tree.used_names
+        self.set_filename(filename)
+        self.numbers = itertools.count(1)
+        self.first_log = True
+
+    def finish_tree(self, tree, filename):
+        """Some fixers need to maintain tree-wide state.
+        This method is called once, at the conclusion of tree fix-up.
+
+        tree - the root node of the tree to be processed.
+        filename - the name of the file the tree came from.
+        """
+        pass
+
+
+class ConditionalFix(BaseFix):
+    """ Base class for fixers which not execute if an import is found. """
+
+    # This is the name of the import which, if found, will cause the test to be skipped
+    skip_on = None
+
+    def start_tree(self, *args):
+        super(ConditionalFix, self).start_tree(*args)
+        self._should_skip = None
+
+    def should_skip(self, node):
+        if self._should_skip is not None:
+            return self._should_skip
+        pkg = self.skip_on.split(".")
+        name = pkg[-1]
+        pkg = ".".join(pkg[:-1])
+        self._should_skip = does_tree_import(pkg, name, node)
+        return self._should_skip
diff --git a/llava/lib/python3.10/lib2to3/fixer_util.py b/llava/lib/python3.10/lib2to3/fixer_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..c2a3a47f503286e05e9bd9d69759e6a2ca214b2c
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/fixer_util.py
@@ -0,0 +1,453 @@
+"""Utility functions, node construction macros, etc."""
+# Author: Collin Winter
+
+# Local imports
+from .pgen2 import token
+from .pytree import Leaf, Node
+from .pygram import python_symbols as syms
+from . import patcomp
+
+
+###########################################################
+### Common node-construction "macros"
+###########################################################
+
+def KeywordArg(keyword, value):
+    return Node(syms.argument,
+                [keyword, Leaf(token.EQUAL, "="), value])
+
+def LParen():
+    return Leaf(token.LPAR, "(")
+
+def RParen():
+    return Leaf(token.RPAR, ")")
+
+def Assign(target, source):
+    """Build an assignment statement"""
+    if not isinstance(target, list):
+        target = [target]
+    if not isinstance(source, list):
+        source.prefix = " "
+        source = [source]
+
+    return Node(syms.atom,
+                target + [Leaf(token.EQUAL, "=", prefix=" ")] + source)
+
+def Name(name, prefix=None):
+    """Return a NAME leaf"""
+    return Leaf(token.NAME, name, prefix=prefix)
+
+def Attr(obj, attr):
+    """A node tuple for obj.attr"""
+    return [obj, Node(syms.trailer, [Dot(), attr])]
+
+def Comma():
+    """A comma leaf"""
+    return Leaf(token.COMMA, ",")
+
+def Dot():
+    """A period (.) leaf"""
+    return Leaf(token.DOT, ".")
+
+def ArgList(args, lparen=LParen(), rparen=RParen()):
+    """A parenthesised argument list, used by Call()"""
+    node = Node(syms.trailer, [lparen.clone(), rparen.clone()])
+    if args:
+        node.insert_child(1, Node(syms.arglist, args))
+    return node
+
+def Call(func_name, args=None, prefix=None):
+    """A function call"""
+    node = Node(syms.power, [func_name, ArgList(args)])
+    if prefix is not None:
+        node.prefix = prefix
+    return node
+
+def Newline():
+    """A newline literal"""
+    return Leaf(token.NEWLINE, "\n")
+
+def BlankLine():
+    """A blank line"""
+    return Leaf(token.NEWLINE, "")
+
+def Number(n, prefix=None):
+    return Leaf(token.NUMBER, n, prefix=prefix)
+
+def Subscript(index_node):
+    """A numeric or string subscript"""
+    return Node(syms.trailer, [Leaf(token.LBRACE, "["),
+                               index_node,
+                               Leaf(token.RBRACE, "]")])
+
+def String(string, prefix=None):
+    """A string leaf"""
+    return Leaf(token.STRING, string, prefix=prefix)
+
+def ListComp(xp, fp, it, test=None):
+    """A list comprehension of the form [xp for fp in it if test].
+
+    If test is None, the "if test" part is omitted.
+    """
+    xp.prefix = ""
+    fp.prefix = " "
+    it.prefix = " "
+    for_leaf = Leaf(token.NAME, "for")
+    for_leaf.prefix = " "
+    in_leaf = Leaf(token.NAME, "in")
+    in_leaf.prefix = " "
+    inner_args = [for_leaf, fp, in_leaf, it]
+    if test:
+        test.prefix = " "
+        if_leaf = Leaf(token.NAME, "if")
+        if_leaf.prefix = " "
+        inner_args.append(Node(syms.comp_if, [if_leaf, test]))
+    inner = Node(syms.listmaker, [xp, Node(syms.comp_for, inner_args)])
+    return Node(syms.atom,
+                       [Leaf(token.LBRACE, "["),
+                        inner,
+                        Leaf(token.RBRACE, "]")])
+
+def FromImport(package_name, name_leafs):
+    """ Return an import statement in the form:
+        from package import name_leafs"""
+    # XXX: May not handle dotted imports properly (eg, package_name='foo.bar')
+    #assert package_name == '.' or '.' not in package_name, "FromImport has "\
+    #       "not been tested with dotted package names -- use at your own "\
+    #       "peril!"
+
+    for leaf in name_leafs:
+        # Pull the leaves out of their old tree
+        leaf.remove()
+
+    children = [Leaf(token.NAME, "from"),
+                Leaf(token.NAME, package_name, prefix=" "),
+                Leaf(token.NAME, "import", prefix=" "),
+                Node(syms.import_as_names, name_leafs)]
+    imp = Node(syms.import_from, children)
+    return imp
+
+def ImportAndCall(node, results, names):
+    """Returns an import statement and calls a method
+    of the module:
+
+    import module
+    module.name()"""
+    obj = results["obj"].clone()
+    if obj.type == syms.arglist:
+        newarglist = obj.clone()
+    else:
+        newarglist = Node(syms.arglist, [obj.clone()])
+    after = results["after"]
+    if after:
+        after = [n.clone() for n in after]
+    new = Node(syms.power,
+               Attr(Name(names[0]), Name(names[1])) +
+               [Node(syms.trailer,
+                     [results["lpar"].clone(),
+                      newarglist,
+                      results["rpar"].clone()])] + after)
+    new.prefix = node.prefix
+    return new
+
+
+###########################################################
+### Determine whether a node represents a given literal
+###########################################################
+
+def is_tuple(node):
+    """Does the node represent a tuple literal?"""
+    if isinstance(node, Node) and node.children == [LParen(), RParen()]:
+        return True
+    return (isinstance(node, Node)
+            and len(node.children) == 3
+            and isinstance(node.children[0], Leaf)
+            and isinstance(node.children[1], Node)
+            and isinstance(node.children[2], Leaf)
+            and node.children[0].value == "("
+            and node.children[2].value == ")")
+
+def is_list(node):
+    """Does the node represent a list literal?"""
+    return (isinstance(node, Node)
+            and len(node.children) > 1
+            and isinstance(node.children[0], Leaf)
+            and isinstance(node.children[-1], Leaf)
+            and node.children[0].value == "["
+            and node.children[-1].value == "]")
+
+
+###########################################################
+### Misc
+###########################################################
+
+def parenthesize(node):
+    return Node(syms.atom, [LParen(), node, RParen()])
+
+
+consuming_calls = {"sorted", "list", "set", "any", "all", "tuple", "sum",
+                   "min", "max", "enumerate"}
+
+def attr_chain(obj, attr):
+    """Follow an attribute chain.
+
+    If you have a chain of objects where a.foo -> b, b.foo-> c, etc,
+    use this to iterate over all objects in the chain. Iteration is
+    terminated by getattr(x, attr) is None.
+
+    Args:
+        obj: the starting object
+        attr: the name of the chaining attribute
+
+    Yields:
+        Each successive object in the chain.
+    """
+    next = getattr(obj, attr)
+    while next:
+        yield next
+        next = getattr(next, attr)
+
+p0 = """for_stmt< 'for' any 'in' node=any ':' any* >
+        | comp_for< 'for' any 'in' node=any any* >
+     """
+p1 = """
+power<
+    ( 'iter' | 'list' | 'tuple' | 'sorted' | 'set' | 'sum' |
+      'any' | 'all' | 'enumerate' | (any* trailer< '.' 'join' >) )
+    trailer< '(' node=any ')' >
+    any*
+>
+"""
+p2 = """
+power<
+    ( 'sorted' | 'enumerate' )
+    trailer< '(' arglist<node=any any*> ')' >
+    any*
+>
+"""
+pats_built = False
+def in_special_context(node):
+    """ Returns true if node is in an environment where all that is required
+        of it is being iterable (ie, it doesn't matter if it returns a list
+        or an iterator).
+        See test_map_nochange in test_fixers.py for some examples and tests.
+        """
+    global p0, p1, p2, pats_built
+    if not pats_built:
+        p0 = patcomp.compile_pattern(p0)
+        p1 = patcomp.compile_pattern(p1)
+        p2 = patcomp.compile_pattern(p2)
+        pats_built = True
+    patterns = [p0, p1, p2]
+    for pattern, parent in zip(patterns, attr_chain(node, "parent")):
+        results = {}
+        if pattern.match(parent, results) and results["node"] is node:
+            return True
+    return False
+
+def is_probably_builtin(node):
+    """
+    Check that something isn't an attribute or function name etc.
+    """
+    prev = node.prev_sibling
+    if prev is not None and prev.type == token.DOT:
+        # Attribute lookup.
+        return False
+    parent = node.parent
+    if parent.type in (syms.funcdef, syms.classdef):
+        return False
+    if parent.type == syms.expr_stmt and parent.children[0] is node:
+        # Assignment.
+        return False
+    if parent.type == syms.parameters or \
+            (parent.type == syms.typedargslist and (
+            (prev is not None and prev.type == token.COMMA) or
+            parent.children[0] is node
+            )):
+        # The name of an argument.
+        return False
+    return True
+
+def find_indentation(node):
+    """Find the indentation of *node*."""
+    while node is not None:
+        if node.type == syms.suite and len(node.children) > 2:
+            indent = node.children[1]
+            if indent.type == token.INDENT:
+                return indent.value
+        node = node.parent
+    return ""
+
+###########################################################
+### The following functions are to find bindings in a suite
+###########################################################
+
+def make_suite(node):
+    if node.type == syms.suite:
+        return node
+    node = node.clone()
+    parent, node.parent = node.parent, None
+    suite = Node(syms.suite, [node])
+    suite.parent = parent
+    return suite
+
+def find_root(node):
+    """Find the top level namespace."""
+    # Scamper up to the top level namespace
+    while node.type != syms.file_input:
+        node = node.parent
+        if not node:
+            raise ValueError("root found before file_input node was found.")
+    return node
+
+def does_tree_import(package, name, node):
+    """ Returns true if name is imported from package at the
+        top level of the tree which node belongs to.
+        To cover the case of an import like 'import foo', use
+        None for the package and 'foo' for the name. """
+    binding = find_binding(name, find_root(node), package)
+    return bool(binding)
+
+def is_import(node):
+    """Returns true if the node is an import statement."""
+    return node.type in (syms.import_name, syms.import_from)
+
+def touch_import(package, name, node):
+    """ Works like `does_tree_import` but adds an import statement
+        if it was not imported. """
+    def is_import_stmt(node):
+        return (node.type == syms.simple_stmt and node.children and
+                is_import(node.children[0]))
+
+    root = find_root(node)
+
+    if does_tree_import(package, name, root):
+        return
+
+    # figure out where to insert the new import.  First try to find
+    # the first import and then skip to the last one.
+    insert_pos = offset = 0
+    for idx, node in enumerate(root.children):
+        if not is_import_stmt(node):
+            continue
+        for offset, node2 in enumerate(root.children[idx:]):
+            if not is_import_stmt(node2):
+                break
+        insert_pos = idx + offset
+        break
+
+    # if there are no imports where we can insert, find the docstring.
+    # if that also fails, we stick to the beginning of the file
+    if insert_pos == 0:
+        for idx, node in enumerate(root.children):
+            if (node.type == syms.simple_stmt and node.children and
+               node.children[0].type == token.STRING):
+                insert_pos = idx + 1
+                break
+
+    if package is None:
+        import_ = Node(syms.import_name, [
+            Leaf(token.NAME, "import"),
+            Leaf(token.NAME, name, prefix=" ")
+        ])
+    else:
+        import_ = FromImport(package, [Leaf(token.NAME, name, prefix=" ")])
+
+    children = [import_, Newline()]
+    root.insert_child(insert_pos, Node(syms.simple_stmt, children))
+
+
+_def_syms = {syms.classdef, syms.funcdef}
+def find_binding(name, node, package=None):
+    """ Returns the node which binds variable name, otherwise None.
+        If optional argument package is supplied, only imports will
+        be returned.
+        See test cases for examples."""
+    for child in node.children:
+        ret = None
+        if child.type == syms.for_stmt:
+            if _find(name, child.children[1]):
+                return child
+            n = find_binding(name, make_suite(child.children[-1]), package)
+            if n: ret = n
+        elif child.type in (syms.if_stmt, syms.while_stmt):
+            n = find_binding(name, make_suite(child.children[-1]), package)
+            if n: ret = n
+        elif child.type == syms.try_stmt:
+            n = find_binding(name, make_suite(child.children[2]), package)
+            if n:
+                ret = n
+            else:
+                for i, kid in enumerate(child.children[3:]):
+                    if kid.type == token.COLON and kid.value == ":":
+                        # i+3 is the colon, i+4 is the suite
+                        n = find_binding(name, make_suite(child.children[i+4]), package)
+                        if n: ret = n
+        elif child.type in _def_syms and child.children[1].value == name:
+            ret = child
+        elif _is_import_binding(child, name, package):
+            ret = child
+        elif child.type == syms.simple_stmt:
+            ret = find_binding(name, child, package)
+        elif child.type == syms.expr_stmt:
+            if _find(name, child.children[0]):
+                ret = child
+
+        if ret:
+            if not package:
+                return ret
+            if is_import(ret):
+                return ret
+    return None
+
+_block_syms = {syms.funcdef, syms.classdef, syms.trailer}
+def _find(name, node):
+    nodes = [node]
+    while nodes:
+        node = nodes.pop()
+        if node.type > 256 and node.type not in _block_syms:
+            nodes.extend(node.children)
+        elif node.type == token.NAME and node.value == name:
+            return node
+    return None
+
+def _is_import_binding(node, name, package=None):
+    """ Will return node if node will import name, or node
+        will import * from package.  None is returned otherwise.
+        See test cases for examples. """
+
+    if node.type == syms.import_name and not package:
+        imp = node.children[1]
+        if imp.type == syms.dotted_as_names:
+            for child in imp.children:
+                if child.type == syms.dotted_as_name:
+                    if child.children[2].value == name:
+                        return node
+                elif child.type == token.NAME and child.value == name:
+                    return node
+        elif imp.type == syms.dotted_as_name:
+            last = imp.children[-1]
+            if last.type == token.NAME and last.value == name:
+                return node
+        elif imp.type == token.NAME and imp.value == name:
+            return node
+    elif node.type == syms.import_from:
+        # str(...) is used to make life easier here, because
+        # from a.b import parses to ['import', ['a', '.', 'b'], ...]
+        if package and str(node.children[1]).strip() != package:
+            return None
+        n = node.children[3]
+        if package and _find("as", n):
+            # See test_from_import_as for explanation
+            return None
+        elif n.type == syms.import_as_names and _find(name, n):
+            return node
+        elif n.type == syms.import_as_name:
+            child = n.children[2]
+            if child.type == token.NAME and child.value == name:
+                return node
+        elif n.type == token.NAME and n.value == name:
+            return node
+        elif package and n.type == token.STAR:
+            return node
+    return None
diff --git a/llava/lib/python3.10/lib2to3/main.py b/llava/lib/python3.10/lib2to3/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2849fd6be3fd93d0f0c48768f09270aea77a209
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/main.py
@@ -0,0 +1,273 @@
+"""
+Main program for 2to3.
+"""
+
+from __future__ import with_statement, print_function
+
+import sys
+import os
+import difflib
+import logging
+import shutil
+import optparse
+
+from . import refactor
+
+
+def diff_texts(a, b, filename):
+    """Return a unified diff of two strings."""
+    a = a.splitlines()
+    b = b.splitlines()
+    return difflib.unified_diff(a, b, filename, filename,
+                                "(original)", "(refactored)",
+                                lineterm="")
+
+
+class StdoutRefactoringTool(refactor.MultiprocessRefactoringTool):
+    """
+    A refactoring tool that can avoid overwriting its input files.
+    Prints output to stdout.
+
+    Output files can optionally be written to a different directory and or
+    have an extra file suffix appended to their name for use in situations
+    where you do not want to replace the input files.
+    """
+
+    def __init__(self, fixers, options, explicit, nobackups, show_diffs,
+                 input_base_dir='', output_dir='', append_suffix=''):
+        """
+        Args:
+            fixers: A list of fixers to import.
+            options: A dict with RefactoringTool configuration.
+            explicit: A list of fixers to run even if they are explicit.
+            nobackups: If true no backup '.bak' files will be created for those
+                files that are being refactored.
+            show_diffs: Should diffs of the refactoring be printed to stdout?
+            input_base_dir: The base directory for all input files.  This class
+                will strip this path prefix off of filenames before substituting
+                it with output_dir.  Only meaningful if output_dir is supplied.
+                All files processed by refactor() must start with this path.
+            output_dir: If supplied, all converted files will be written into
+                this directory tree instead of input_base_dir.
+            append_suffix: If supplied, all files output by this tool will have
+                this appended to their filename.  Useful for changing .py to
+                .py3 for example by passing append_suffix='3'.
+        """
+        self.nobackups = nobackups
+        self.show_diffs = show_diffs
+        if input_base_dir and not input_base_dir.endswith(os.sep):
+            input_base_dir += os.sep
+        self._input_base_dir = input_base_dir
+        self._output_dir = output_dir
+        self._append_suffix = append_suffix
+        super(StdoutRefactoringTool, self).__init__(fixers, options, explicit)
+
+    def log_error(self, msg, *args, **kwargs):
+        self.errors.append((msg, args, kwargs))
+        self.logger.error(msg, *args, **kwargs)
+
+    def write_file(self, new_text, filename, old_text, encoding):
+        orig_filename = filename
+        if self._output_dir:
+            if filename.startswith(self._input_base_dir):
+                filename = os.path.join(self._output_dir,
+                                        filename[len(self._input_base_dir):])
+            else:
+                raise ValueError('filename %s does not start with the '
+                                 'input_base_dir %s' % (
+                                         filename, self._input_base_dir))
+        if self._append_suffix:
+            filename += self._append_suffix
+        if orig_filename != filename:
+            output_dir = os.path.dirname(filename)
+            if not os.path.isdir(output_dir) and output_dir:
+                os.makedirs(output_dir)
+            self.log_message('Writing converted %s to %s.', orig_filename,
+                             filename)
+        if not self.nobackups:
+            # Make backup
+            backup = filename + ".bak"
+            if os.path.lexists(backup):
+                try:
+                    os.remove(backup)
+                except OSError:
+                    self.log_message("Can't remove backup %s", backup)
+            try:
+                os.rename(filename, backup)
+            except OSError:
+                self.log_message("Can't rename %s to %s", filename, backup)
+        # Actually write the new file
+        write = super(StdoutRefactoringTool, self).write_file
+        write(new_text, filename, old_text, encoding)
+        if not self.nobackups:
+            shutil.copymode(backup, filename)
+        if orig_filename != filename:
+            # Preserve the file mode in the new output directory.
+            shutil.copymode(orig_filename, filename)
+
+    def print_output(self, old, new, filename, equal):
+        if equal:
+            self.log_message("No changes to %s", filename)
+        else:
+            self.log_message("Refactored %s", filename)
+            if self.show_diffs:
+                diff_lines = diff_texts(old, new, filename)
+                try:
+                    if self.output_lock is not None:
+                        with self.output_lock:
+                            for line in diff_lines:
+                                print(line)
+                            sys.stdout.flush()
+                    else:
+                        for line in diff_lines:
+                            print(line)
+                except UnicodeEncodeError:
+                    warn("couldn't encode %s's diff for your terminal" %
+                         (filename,))
+                    return
+
+def warn(msg):
+    print("WARNING: %s" % (msg,), file=sys.stderr)
+
+
+def main(fixer_pkg, args=None):
+    """Main program.
+
+    Args:
+        fixer_pkg: the name of a package where the fixers are located.
+        args: optional; a list of command line arguments. If omitted,
+              sys.argv[1:] is used.
+
+    Returns a suggested exit status (0, 1, 2).
+    """
+    # Set up option parser
+    parser = optparse.OptionParser(usage="2to3 [options] file|dir ...")
+    parser.add_option("-d", "--doctests_only", action="store_true",
+                      help="Fix up doctests only")
+    parser.add_option("-f", "--fix", action="append", default=[],
+                      help="Each FIX specifies a transformation; default: all")
+    parser.add_option("-j", "--processes", action="store", default=1,
+                      type="int", help="Run 2to3 concurrently")
+    parser.add_option("-x", "--nofix", action="append", default=[],
+                      help="Prevent a transformation from being run")
+    parser.add_option("-l", "--list-fixes", action="store_true",
+                      help="List available transformations")
+    parser.add_option("-p", "--print-function", action="store_true",
+                      help="Modify the grammar so that print() is a function")
+    parser.add_option("-e", "--exec-function", action="store_true",
+                      help="Modify the grammar so that exec() is a function")
+    parser.add_option("-v", "--verbose", action="store_true",
+                      help="More verbose logging")
+    parser.add_option("--no-diffs", action="store_true",
+                      help="Don't show diffs of the refactoring")
+    parser.add_option("-w", "--write", action="store_true",
+                      help="Write back modified files")
+    parser.add_option("-n", "--nobackups", action="store_true", default=False,
+                      help="Don't write backups for modified files")
+    parser.add_option("-o", "--output-dir", action="store", type="str",
+                      default="", help="Put output files in this directory "
+                      "instead of overwriting the input files.  Requires -n.")
+    parser.add_option("-W", "--write-unchanged-files", action="store_true",
+                      help="Also write files even if no changes were required"
+                      " (useful with --output-dir); implies -w.")
+    parser.add_option("--add-suffix", action="store", type="str", default="",
+                      help="Append this string to all output filenames."
+                      " Requires -n if non-empty.  "
+                      "ex: --add-suffix='3' will generate .py3 files.")
+
+    # Parse command line arguments
+    refactor_stdin = False
+    flags = {}
+    options, args = parser.parse_args(args)
+    if options.write_unchanged_files:
+        flags["write_unchanged_files"] = True
+        if not options.write:
+            warn("--write-unchanged-files/-W implies -w.")
+        options.write = True
+    # If we allowed these, the original files would be renamed to backup names
+    # but not replaced.
+    if options.output_dir and not options.nobackups:
+        parser.error("Can't use --output-dir/-o without -n.")
+    if options.add_suffix and not options.nobackups:
+        parser.error("Can't use --add-suffix without -n.")
+
+    if not options.write and options.no_diffs:
+        warn("not writing files and not printing diffs; that's not very useful")
+    if not options.write and options.nobackups:
+        parser.error("Can't use -n without -w")
+    if options.list_fixes:
+        print("Available transformations for the -f/--fix option:")
+        for fixname in refactor.get_all_fix_names(fixer_pkg):
+            print(fixname)
+        if not args:
+            return 0
+    if not args:
+        print("At least one file or directory argument required.", file=sys.stderr)
+        print("Use --help to show usage.", file=sys.stderr)
+        return 2
+    if "-" in args:
+        refactor_stdin = True
+        if options.write:
+            print("Can't write to stdin.", file=sys.stderr)
+            return 2
+    if options.print_function:
+        flags["print_function"] = True
+
+    if options.exec_function:
+        flags["exec_function"] = True
+
+    # Set up logging handler
+    level = logging.DEBUG if options.verbose else logging.INFO
+    logging.basicConfig(format='%(name)s: %(message)s', level=level)
+    logger = logging.getLogger('lib2to3.main')
+
+    # Initialize the refactoring tool
+    avail_fixes = set(refactor.get_fixers_from_package(fixer_pkg))
+    unwanted_fixes = set(fixer_pkg + ".fix_" + fix for fix in options.nofix)
+    explicit = set()
+    if options.fix:
+        all_present = False
+        for fix in options.fix:
+            if fix == "all":
+                all_present = True
+            else:
+                explicit.add(fixer_pkg + ".fix_" + fix)
+        requested = avail_fixes.union(explicit) if all_present else explicit
+    else:
+        requested = avail_fixes.union(explicit)
+    fixer_names = requested.difference(unwanted_fixes)
+    input_base_dir = os.path.commonprefix(args)
+    if (input_base_dir and not input_base_dir.endswith(os.sep)
+        and not os.path.isdir(input_base_dir)):
+        # One or more similar names were passed, their directory is the base.
+        # os.path.commonprefix() is ignorant of path elements, this corrects
+        # for that weird API.
+        input_base_dir = os.path.dirname(input_base_dir)
+    if options.output_dir:
+        input_base_dir = input_base_dir.rstrip(os.sep)
+        logger.info('Output in %r will mirror the input directory %r layout.',
+                    options.output_dir, input_base_dir)
+    rt = StdoutRefactoringTool(
+            sorted(fixer_names), flags, sorted(explicit),
+            options.nobackups, not options.no_diffs,
+            input_base_dir=input_base_dir,
+            output_dir=options.output_dir,
+            append_suffix=options.add_suffix)
+
+    # Refactor all files and directories passed as arguments
+    if not rt.errors:
+        if refactor_stdin:
+            rt.refactor_stdin()
+        else:
+            try:
+                rt.refactor(args, options.write, options.doctests_only,
+                            options.processes)
+            except refactor.MultiprocessingUnsupported:
+                assert options.processes > 1
+                print("Sorry, -j isn't supported on this platform.",
+                      file=sys.stderr)
+                return 1
+        rt.summarize()
+
+    # Return error status (0 if rt.errors is zero)
+    return int(bool(rt.errors))
diff --git a/llava/lib/python3.10/lib2to3/patcomp.py b/llava/lib/python3.10/lib2to3/patcomp.py
new file mode 100644
index 0000000000000000000000000000000000000000..f57f4954b26ce7f59c44ce7cd67bf966fd594cd5
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/patcomp.py
@@ -0,0 +1,204 @@
+# Copyright 2006 Google, Inc. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""Pattern compiler.
+
+The grammar is taken from PatternGrammar.txt.
+
+The compiler compiles a pattern to a pytree.*Pattern instance.
+"""
+
+__author__ = "Guido van Rossum <guido@python.org>"
+
+# Python imports
+import io
+
+# Fairly local imports
+from .pgen2 import driver, literals, token, tokenize, parse, grammar
+
+# Really local imports
+from . import pytree
+from . import pygram
+
+
+class PatternSyntaxError(Exception):
+    pass
+
+
+def tokenize_wrapper(input):
+    """Tokenizes a string suppressing significant whitespace."""
+    skip = {token.NEWLINE, token.INDENT, token.DEDENT}
+    tokens = tokenize.generate_tokens(io.StringIO(input).readline)
+    for quintuple in tokens:
+        type, value, start, end, line_text = quintuple
+        if type not in skip:
+            yield quintuple
+
+
+class PatternCompiler(object):
+
+    def __init__(self, grammar_file=None):
+        """Initializer.
+
+        Takes an optional alternative filename for the pattern grammar.
+        """
+        if grammar_file is None:
+            self.grammar = pygram.pattern_grammar
+            self.syms = pygram.pattern_symbols
+        else:
+            self.grammar = driver.load_grammar(grammar_file)
+            self.syms = pygram.Symbols(self.grammar)
+        self.pygrammar = pygram.python_grammar
+        self.pysyms = pygram.python_symbols
+        self.driver = driver.Driver(self.grammar, convert=pattern_convert)
+
+    def compile_pattern(self, input, debug=False, with_tree=False):
+        """Compiles a pattern string to a nested pytree.*Pattern object."""
+        tokens = tokenize_wrapper(input)
+        try:
+            root = self.driver.parse_tokens(tokens, debug=debug)
+        except parse.ParseError as e:
+            raise PatternSyntaxError(str(e)) from None
+        if with_tree:
+            return self.compile_node(root), root
+        else:
+            return self.compile_node(root)
+
+    def compile_node(self, node):
+        """Compiles a node, recursively.
+
+        This is one big switch on the node type.
+        """
+        # XXX Optimize certain Wildcard-containing-Wildcard patterns
+        # that can be merged
+        if node.type == self.syms.Matcher:
+            node = node.children[0] # Avoid unneeded recursion
+
+        if node.type == self.syms.Alternatives:
+            # Skip the odd children since they are just '|' tokens
+            alts = [self.compile_node(ch) for ch in node.children[::2]]
+            if len(alts) == 1:
+                return alts[0]
+            p = pytree.WildcardPattern([[a] for a in alts], min=1, max=1)
+            return p.optimize()
+
+        if node.type == self.syms.Alternative:
+            units = [self.compile_node(ch) for ch in node.children]
+            if len(units) == 1:
+                return units[0]
+            p = pytree.WildcardPattern([units], min=1, max=1)
+            return p.optimize()
+
+        if node.type == self.syms.NegatedUnit:
+            pattern = self.compile_basic(node.children[1:])
+            p = pytree.NegatedPattern(pattern)
+            return p.optimize()
+
+        assert node.type == self.syms.Unit
+
+        name = None
+        nodes = node.children
+        if len(nodes) >= 3 and nodes[1].type == token.EQUAL:
+            name = nodes[0].value
+            nodes = nodes[2:]
+        repeat = None
+        if len(nodes) >= 2 and nodes[-1].type == self.syms.Repeater:
+            repeat = nodes[-1]
+            nodes = nodes[:-1]
+
+        # Now we've reduced it to: STRING | NAME [Details] | (...) | [...]
+        pattern = self.compile_basic(nodes, repeat)
+
+        if repeat is not None:
+            assert repeat.type == self.syms.Repeater
+            children = repeat.children
+            child = children[0]
+            if child.type == token.STAR:
+                min = 0
+                max = pytree.HUGE
+            elif child.type == token.PLUS:
+                min = 1
+                max = pytree.HUGE
+            elif child.type == token.LBRACE:
+                assert children[-1].type == token.RBRACE
+                assert  len(children) in (3, 5)
+                min = max = self.get_int(children[1])
+                if len(children) == 5:
+                    max = self.get_int(children[3])
+            else:
+                assert False
+            if min != 1 or max != 1:
+                pattern = pattern.optimize()
+                pattern = pytree.WildcardPattern([[pattern]], min=min, max=max)
+
+        if name is not None:
+            pattern.name = name
+        return pattern.optimize()
+
+    def compile_basic(self, nodes, repeat=None):
+        # Compile STRING | NAME [Details] | (...) | [...]
+        assert len(nodes) >= 1
+        node = nodes[0]
+        if node.type == token.STRING:
+            value = str(literals.evalString(node.value))
+            return pytree.LeafPattern(_type_of_literal(value), value)
+        elif node.type == token.NAME:
+            value = node.value
+            if value.isupper():
+                if value not in TOKEN_MAP:
+                    raise PatternSyntaxError("Invalid token: %r" % value)
+                if nodes[1:]:
+                    raise PatternSyntaxError("Can't have details for token")
+                return pytree.LeafPattern(TOKEN_MAP[value])
+            else:
+                if value == "any":
+                    type = None
+                elif not value.startswith("_"):
+                    type = getattr(self.pysyms, value, None)
+                    if type is None:
+                        raise PatternSyntaxError("Invalid symbol: %r" % value)
+                if nodes[1:]: # Details present
+                    content = [self.compile_node(nodes[1].children[1])]
+                else:
+                    content = None
+                return pytree.NodePattern(type, content)
+        elif node.value == "(":
+            return self.compile_node(nodes[1])
+        elif node.value == "[":
+            assert repeat is None
+            subpattern = self.compile_node(nodes[1])
+            return pytree.WildcardPattern([[subpattern]], min=0, max=1)
+        assert False, node
+
+    def get_int(self, node):
+        assert node.type == token.NUMBER
+        return int(node.value)
+
+
+# Map named tokens to the type value for a LeafPattern
+TOKEN_MAP = {"NAME": token.NAME,
+             "STRING": token.STRING,
+             "NUMBER": token.NUMBER,
+             "TOKEN": None}
+
+
+def _type_of_literal(value):
+    if value[0].isalpha():
+        return token.NAME
+    elif value in grammar.opmap:
+        return grammar.opmap[value]
+    else:
+        return None
+
+
+def pattern_convert(grammar, raw_node_info):
+    """Converts raw node information to a Node or Leaf instance."""
+    type, value, context, children = raw_node_info
+    if children or type in grammar.number2symbol:
+        return pytree.Node(type, children, context=context)
+    else:
+        return pytree.Leaf(type, value, context=context)
+
+
+def compile_pattern(pattern):
+    return PatternCompiler().compile_pattern(pattern)
diff --git a/llava/lib/python3.10/lib2to3/pygram.py b/llava/lib/python3.10/lib2to3/pygram.py
new file mode 100644
index 0000000000000000000000000000000000000000..24d9db9217f131adf50f6eca7d571ce69cbcbc3e
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/pygram.py
@@ -0,0 +1,43 @@
+# Copyright 2006 Google, Inc. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""Export the Python grammar and symbols."""
+
+# Python imports
+import os
+
+# Local imports
+from .pgen2 import token
+from .pgen2 import driver
+from . import pytree
+
+# The grammar file
+_GRAMMAR_FILE = os.path.join(os.path.dirname(__file__), "Grammar.txt")
+_PATTERN_GRAMMAR_FILE = os.path.join(os.path.dirname(__file__),
+                                     "PatternGrammar.txt")
+
+
+class Symbols(object):
+
+    def __init__(self, grammar):
+        """Initializer.
+
+        Creates an attribute for each grammar symbol (nonterminal),
+        whose value is the symbol's type (an int >= 256).
+        """
+        for name, symbol in grammar.symbol2number.items():
+            setattr(self, name, symbol)
+
+
+python_grammar = driver.load_packaged_grammar("lib2to3", _GRAMMAR_FILE)
+
+python_symbols = Symbols(python_grammar)
+
+python_grammar_no_print_statement = python_grammar.copy()
+del python_grammar_no_print_statement.keywords["print"]
+
+python_grammar_no_print_and_exec_statement = python_grammar_no_print_statement.copy()
+del python_grammar_no_print_and_exec_statement.keywords["exec"]
+
+pattern_grammar = driver.load_packaged_grammar("lib2to3", _PATTERN_GRAMMAR_FILE)
+pattern_symbols = Symbols(pattern_grammar)
diff --git a/llava/lib/python3.10/lib2to3/pytree.py b/llava/lib/python3.10/lib2to3/pytree.py
new file mode 100644
index 0000000000000000000000000000000000000000..729023df0284e15ad8d7ac9f30cf7ed8d42db272
--- /dev/null
+++ b/llava/lib/python3.10/lib2to3/pytree.py
@@ -0,0 +1,853 @@
+# Copyright 2006 Google, Inc. All Rights Reserved.
+# Licensed to PSF under a Contributor Agreement.
+
+"""
+Python parse tree definitions.
+
+This is a very concrete parse tree; we need to keep every token and
+even the comments and whitespace between tokens.
+
+There's also a pattern matching implementation here.
+"""
+
+__author__ = "Guido van Rossum <guido@python.org>"
+
+import sys
+from io import StringIO
+
+HUGE = 0x7FFFFFFF  # maximum repeat count, default max
+
+_type_reprs = {}
+def type_repr(type_num):
+    global _type_reprs
+    if not _type_reprs:
+        from .pygram import python_symbols
+        # printing tokens is possible but not as useful
+        # from .pgen2 import token // token.__dict__.items():
+        for name, val in python_symbols.__dict__.items():
+            if type(val) == int: _type_reprs[val] = name
+    return _type_reprs.setdefault(type_num, type_num)
+
+class Base(object):
+
+    """
+    Abstract base class for Node and Leaf.
+
+    This provides some default functionality and boilerplate using the
+    template pattern.
+
+    A node may be a subnode of at most one parent.
+    """
+
+    # Default values for instance variables
+    type = None    # int: token number (< 256) or symbol number (>= 256)
+    parent = None  # Parent node pointer, or None
+    children = ()  # Tuple of subnodes
+    was_changed = False
+    was_checked = False
+
+    def __new__(cls, *args, **kwds):
+        """Constructor that prevents Base from being instantiated."""
+        assert cls is not Base, "Cannot instantiate Base"
+        return object.__new__(cls)
+
+    def __eq__(self, other):
+        """
+        Compare two nodes for equality.
+
+        This calls the method _eq().
+        """
+        if self.__class__ is not other.__class__:
+            return NotImplemented
+        return self._eq(other)
+
+    __hash__ = None # For Py3 compatibility.
+
+    def _eq(self, other):
+        """
+        Compare two nodes for equality.
+
+        This is called by __eq__ and __ne__.  It is only called if the two nodes
+        have the same type.  This must be implemented by the concrete subclass.
+        Nodes should be considered equal if they have the same structure,
+        ignoring the prefix string and other context information.
+        """
+        raise NotImplementedError
+
+    def clone(self):
+        """
+        Return a cloned (deep) copy of self.
+
+        This must be implemented by the concrete subclass.
+        """
+        raise NotImplementedError
+
+    def post_order(self):
+        """
+        Return a post-order iterator for the tree.
+
+        This must be implemented by the concrete subclass.
+        """
+        raise NotImplementedError
+
+    def pre_order(self):
+        """
+        Return a pre-order iterator for the tree.
+
+        This must be implemented by the concrete subclass.
+        """
+        raise NotImplementedError
+
+    def replace(self, new):
+        """Replace this node with a new one in the parent."""
+        assert self.parent is not None, str(self)
+        assert new is not None
+        if not isinstance(new, list):
+            new = [new]
+        l_children = []
+        found = False
+        for ch in self.parent.children:
+            if ch is self:
+                assert not found, (self.parent.children, self, new)
+                if new is not None:
+                    l_children.extend(new)
+                found = True
+            else:
+                l_children.append(ch)
+        assert found, (self.children, self, new)
+        self.parent.changed()
+        self.parent.children = l_children
+        for x in new:
+            x.parent = self.parent
+        self.parent = None
+
+    def get_lineno(self):
+        """Return the line number which generated the invocant node."""
+        node = self
+        while not isinstance(node, Leaf):
+            if not node.children:
+                return
+            node = node.children[0]
+        return node.lineno
+
+    def changed(self):
+        if self.parent:
+            self.parent.changed()
+        self.was_changed = True
+
+    def remove(self):
+        """
+        Remove the node from the tree. Returns the position of the node in its
+        parent's children before it was removed.
+        """
+        if self.parent:
+            for i, node in enumerate(self.parent.children):
+                if node is self:
+                    self.parent.changed()
+                    del self.parent.children[i]
+                    self.parent = None
+                    return i
+
+    @property
+    def next_sibling(self):
+        """
+        The node immediately following the invocant in their parent's children
+        list. If the invocant does not have a next sibling, it is None
+        """
+        if self.parent is None:
+            return None
+
+        # Can't use index(); we need to test by identity
+        for i, child in enumerate(self.parent.children):
+            if child is self:
+                try:
+                    return self.parent.children[i+1]
+                except IndexError:
+                    return None
+
+    @property
+    def prev_sibling(self):
+        """
+        The node immediately preceding the invocant in their parent's children
+        list. If the invocant does not have a previous sibling, it is None.
+        """
+        if self.parent is None:
+            return None
+
+        # Can't use index(); we need to test by identity
+        for i, child in enumerate(self.parent.children):
+            if child is self:
+                if i == 0:
+                    return None
+                return self.parent.children[i-1]
+
+    def leaves(self):
+        for child in self.children:
+            yield from child.leaves()
+
+    def depth(self):
+        if self.parent is None:
+            return 0
+        return 1 + self.parent.depth()
+
+    def get_suffix(self):
+        """
+        Return the string immediately following the invocant node. This is
+        effectively equivalent to node.next_sibling.prefix
+        """
+        next_sib = self.next_sibling
+        if next_sib is None:
+            return ""
+        return next_sib.prefix
+
+    if sys.version_info < (3, 0):
+        def __str__(self):
+            return str(self).encode("ascii")
+
+class Node(Base):
+
+    """Concrete implementation for interior nodes."""
+
+    def __init__(self,type, children,
+                 context=None,
+                 prefix=None,
+                 fixers_applied=None):
+        """
+        Initializer.
+
+        Takes a type constant (a symbol number >= 256), a sequence of
+        child nodes, and an optional context keyword argument.
+
+        As a side effect, the parent pointers of the children are updated.
+        """
+        assert type >= 256, type
+        self.type = type
+        self.children = list(children)
+        for ch in self.children:
+            assert ch.parent is None, repr(ch)
+            ch.parent = self
+        if prefix is not None:
+            self.prefix = prefix
+        if fixers_applied:
+            self.fixers_applied = fixers_applied[:]
+        else:
+            self.fixers_applied = None
+
+    def __repr__(self):
+        """Return a canonical string representation."""
+        return "%s(%s, %r)" % (self.__class__.__name__,
+                               type_repr(self.type),
+                               self.children)
+
+    def __unicode__(self):
+        """
+        Return a pretty string representation.
+
+        This reproduces the input source exactly.
+        """
+        return "".join(map(str, self.children))
+
+    if sys.version_info > (3, 0):
+        __str__ = __unicode__
+
+    def _eq(self, other):
+        """Compare two nodes for equality."""
+        return (self.type, self.children) == (other.type, other.children)
+
+    def clone(self):
+        """Return a cloned (deep) copy of self."""
+        return Node(self.type, [ch.clone() for ch in self.children],
+                    fixers_applied=self.fixers_applied)
+
+    def post_order(self):
+        """Return a post-order iterator for the tree."""
+        for child in self.children:
+            yield from child.post_order()
+        yield self
+
+    def pre_order(self):
+        """Return a pre-order iterator for the tree."""
+        yield self
+        for child in self.children:
+            yield from child.pre_order()
+
+    @property
+    def prefix(self):
+        """
+        The whitespace and comments preceding this node in the input.
+        """
+        if not self.children:
+            return ""
+        return self.children[0].prefix
+
+    @prefix.setter
+    def prefix(self, prefix):
+        if self.children:
+            self.children[0].prefix = prefix
+
+    def set_child(self, i, child):
+        """
+        Equivalent to 'node.children[i] = child'. This method also sets the
+        child's parent attribute appropriately.
+        """
+        child.parent = self
+        self.children[i].parent = None
+        self.children[i] = child
+        self.changed()
+
+    def insert_child(self, i, child):
+        """
+        Equivalent to 'node.children.insert(i, child)'. This method also sets
+        the child's parent attribute appropriately.
+        """
+        child.parent = self
+        self.children.insert(i, child)
+        self.changed()
+
+    def append_child(self, child):
+        """
+        Equivalent to 'node.children.append(child)'. This method also sets the
+        child's parent attribute appropriately.
+        """
+        child.parent = self
+        self.children.append(child)
+        self.changed()
+
+
+class Leaf(Base):
+
+    """Concrete implementation for leaf nodes."""
+
+    # Default values for instance variables
+    _prefix = ""  # Whitespace and comments preceding this token in the input
+    lineno = 0    # Line where this token starts in the input
+    column = 0    # Column where this token tarts in the input
+
+    def __init__(self, type, value,
+                 context=None,
+                 prefix=None,
+                 fixers_applied=[]):
+        """
+        Initializer.
+
+        Takes a type constant (a token number < 256), a string value, and an
+        optional context keyword argument.
+        """
+        assert 0 <= type < 256, type
+        if context is not None:
+            self._prefix, (self.lineno, self.column) = context
+        self.type = type
+        self.value = value
+        if prefix is not None:
+            self._prefix = prefix
+        self.fixers_applied = fixers_applied[:]
+
+    def __repr__(self):
+        """Return a canonical string representation."""
+        return "%s(%r, %r)" % (self.__class__.__name__,
+                               self.type,
+                               self.value)
+
+    def __unicode__(self):
+        """
+        Return a pretty string representation.
+
+        This reproduces the input source exactly.
+        """
+        return self.prefix + str(self.value)
+
+    if sys.version_info > (3, 0):
+        __str__ = __unicode__
+
+    def _eq(self, other):
+        """Compare two nodes for equality."""
+        return (self.type, self.value) == (other.type, other.value)
+
+    def clone(self):
+        """Return a cloned (deep) copy of self."""
+        return Leaf(self.type, self.value,
+                    (self.prefix, (self.lineno, self.column)),
+                    fixers_applied=self.fixers_applied)
+
+    def leaves(self):
+        yield self
+
+    def post_order(self):
+        """Return a post-order iterator for the tree."""
+        yield self
+
+    def pre_order(self):
+        """Return a pre-order iterator for the tree."""
+        yield self
+
+    @property
+    def prefix(self):
+        """
+        The whitespace and comments preceding this token in the input.
+        """
+        return self._prefix
+
+    @prefix.setter
+    def prefix(self, prefix):
+        self.changed()
+        self._prefix = prefix
+
+def convert(gr, raw_node):
+    """
+    Convert raw node information to a Node or Leaf instance.
+
+    This is passed to the parser driver which calls it whenever a reduction of a
+    grammar rule produces a new complete node, so that the tree is build
+    strictly bottom-up.
+    """
+    type, value, context, children = raw_node
+    if children or type in gr.number2symbol:
+        # If there's exactly one child, return that child instead of
+        # creating a new node.
+        if len(children) == 1:
+            return children[0]
+        return Node(type, children, context=context)
+    else:
+        return Leaf(type, value, context=context)
+
+
+class BasePattern(object):
+
+    """
+    A pattern is a tree matching pattern.
+
+    It looks for a specific node type (token or symbol), and
+    optionally for a specific content.
+
+    This is an abstract base class.  There are three concrete
+    subclasses:
+
+    - LeafPattern matches a single leaf node;
+    - NodePattern matches a single node (usually non-leaf);
+    - WildcardPattern matches a sequence of nodes of variable length.
+    """
+
+    # Defaults for instance variables
+    type = None     # Node type (token if < 256, symbol if >= 256)
+    content = None  # Optional content matching pattern
+    name = None     # Optional name used to store match in results dict
+
+    def __new__(cls, *args, **kwds):
+        """Constructor that prevents BasePattern from being instantiated."""
+        assert cls is not BasePattern, "Cannot instantiate BasePattern"
+        return object.__new__(cls)
+
+    def __repr__(self):
+        args = [type_repr(self.type), self.content, self.name]
+        while args and args[-1] is None:
+            del args[-1]
+        return "%s(%s)" % (self.__class__.__name__, ", ".join(map(repr, args)))
+
+    def optimize(self):
+        """
+        A subclass can define this as a hook for optimizations.
+
+        Returns either self or another node with the same effect.
+        """
+        return self
+
+    def match(self, node, results=None):
+        """
+        Does this pattern exactly match a node?
+
+        Returns True if it matches, False if not.
+
+        If results is not None, it must be a dict which will be
+        updated with the nodes matching named subpatterns.
+
+        Default implementation for non-wildcard patterns.
+        """
+        if self.type is not None and node.type != self.type:
+            return False
+        if self.content is not None:
+            r = None
+            if results is not None:
+                r = {}
+            if not self._submatch(node, r):
+                return False
+            if r:
+                results.update(r)
+        if results is not None and self.name:
+            results[self.name] = node
+        return True
+
+    def match_seq(self, nodes, results=None):
+        """
+        Does this pattern exactly match a sequence of nodes?
+
+        Default implementation for non-wildcard patterns.
+        """
+        if len(nodes) != 1:
+            return False
+        return self.match(nodes[0], results)
+
+    def generate_matches(self, nodes):
+        """
+        Generator yielding all matches for this pattern.
+
+        Default implementation for non-wildcard patterns.
+        """
+        r = {}
+        if nodes and self.match(nodes[0], r):
+            yield 1, r
+
+
+class LeafPattern(BasePattern):
+
+    def __init__(self, type=None, content=None, name=None):
+        """
+        Initializer.  Takes optional type, content, and name.
+
+        The type, if given must be a token type (< 256).  If not given,
+        this matches any *leaf* node; the content may still be required.
+
+        The content, if given, must be a string.
+
+        If a name is given, the matching node is stored in the results
+        dict under that key.
+        """
+        if type is not None:
+            assert 0 <= type < 256, type
+        if content is not None:
+            assert isinstance(content, str), repr(content)
+        self.type = type
+        self.content = content
+        self.name = name
+
+    def match(self, node, results=None):
+        """Override match() to insist on a leaf node."""
+        if not isinstance(node, Leaf):
+            return False
+        return BasePattern.match(self, node, results)
+
+    def _submatch(self, node, results=None):
+        """
+        Match the pattern's content to the node's children.
+
+        This assumes the node type matches and self.content is not None.
+
+        Returns True if it matches, False if not.
+
+        If results is not None, it must be a dict which will be
+        updated with the nodes matching named subpatterns.
+
+        When returning False, the results dict may still be updated.
+        """
+        return self.content == node.value
+
+
+class NodePattern(BasePattern):
+
+    wildcards = False
+
+    def __init__(self, type=None, content=None, name=None):
+        """
+        Initializer.  Takes optional type, content, and name.
+
+        The type, if given, must be a symbol type (>= 256).  If the
+        type is None this matches *any* single node (leaf or not),
+        except if content is not None, in which it only matches
+        non-leaf nodes that also match the content pattern.
+
+        The content, if not None, must be a sequence of Patterns that
+        must match the node's children exactly.  If the content is
+        given, the type must not be None.
+
+        If a name is given, the matching node is stored in the results
+        dict under that key.
+        """
+        if type is not None:
+            assert type >= 256, type
+        if content is not None:
+            assert not isinstance(content, str), repr(content)
+            content = list(content)
+            for i, item in enumerate(content):
+                assert isinstance(item, BasePattern), (i, item)
+                if isinstance(item, WildcardPattern):
+                    self.wildcards = True
+        self.type = type
+        self.content = content
+        self.name = name
+
+    def _submatch(self, node, results=None):
+        """
+        Match the pattern's content to the node's children.
+
+        This assumes the node type matches and self.content is not None.
+
+        Returns True if it matches, False if not.
+
+        If results is not None, it must be a dict which will be
+        updated with the nodes matching named subpatterns.
+
+        When returning False, the results dict may still be updated.
+        """
+        if self.wildcards:
+            for c, r in generate_matches(self.content, node.children):
+                if c == len(node.children):
+                    if results is not None:
+                        results.update(r)
+                    return True
+            return False
+        if len(self.content) != len(node.children):
+            return False
+        for subpattern, child in zip(self.content, node.children):
+            if not subpattern.match(child, results):
+                return False
+        return True
+
+
+class WildcardPattern(BasePattern):
+
+    """
+    A wildcard pattern can match zero or more nodes.
+
+    This has all the flexibility needed to implement patterns like:
+
+    .*      .+      .?      .{m,n}
+    (a b c | d e | f)
+    (...)*  (...)+  (...)?  (...){m,n}
+
+    except it always uses non-greedy matching.
+    """
+
+    def __init__(self, content=None, min=0, max=HUGE, name=None):
+        """
+        Initializer.
+
+        Args:
+            content: optional sequence of subsequences of patterns;
+                     if absent, matches one node;
+                     if present, each subsequence is an alternative [*]
+            min: optional minimum number of times to match, default 0
+            max: optional maximum number of times to match, default HUGE
+            name: optional name assigned to this match
+
+        [*] Thus, if content is [[a, b, c], [d, e], [f, g, h]] this is
+            equivalent to (a b c | d e | f g h); if content is None,
+            this is equivalent to '.' in regular expression terms.
+            The min and max parameters work as follows:
+                min=0, max=maxint: .*
+                min=1, max=maxint: .+
+                min=0, max=1: .?
+                min=1, max=1: .
+            If content is not None, replace the dot with the parenthesized
+            list of alternatives, e.g. (a b c | d e | f g h)*
+        """
+        assert 0 <= min <= max <= HUGE, (min, max)
+        if content is not None:
+            content = tuple(map(tuple, content))  # Protect against alterations
+            # Check sanity of alternatives
+            assert len(content), repr(content)  # Can't have zero alternatives
+            for alt in content:
+                assert len(alt), repr(alt) # Can have empty alternatives
+        self.content = content
+        self.min = min
+        self.max = max
+        self.name = name
+
+    def optimize(self):
+        """Optimize certain stacked wildcard patterns."""
+        subpattern = None
+        if (self.content is not None and
+            len(self.content) == 1 and len(self.content[0]) == 1):
+            subpattern = self.content[0][0]
+        if self.min == 1 and self.max == 1:
+            if self.content is None:
+                return NodePattern(name=self.name)
+            if subpattern is not None and  self.name == subpattern.name:
+                return subpattern.optimize()
+        if (self.min <= 1 and isinstance(subpattern, WildcardPattern) and
+            subpattern.min <= 1 and self.name == subpattern.name):
+            return WildcardPattern(subpattern.content,
+                                   self.min*subpattern.min,
+                                   self.max*subpattern.max,
+                                   subpattern.name)
+        return self
+
+    def match(self, node, results=None):
+        """Does this pattern exactly match a node?"""
+        return self.match_seq([node], results)
+
+    def match_seq(self, nodes, results=None):
+        """Does this pattern exactly match a sequence of nodes?"""
+        for c, r in self.generate_matches(nodes):
+            if c == len(nodes):
+                if results is not None:
+                    results.update(r)
+                    if self.name:
+                        results[self.name] = list(nodes)
+                return True
+        return False
+
+    def generate_matches(self, nodes):
+        """
+        Generator yielding matches for a sequence of nodes.
+
+        Args:
+            nodes: sequence of nodes
+
+        Yields:
+            (count, results) tuples where:
+            count: the match comprises nodes[:count];
+            results: dict containing named submatches.
+        """
+        if self.content is None:
+            # Shortcut for special case (see __init__.__doc__)
+            for count in range(self.min, 1 + min(len(nodes), self.max)):
+                r = {}
+                if self.name:
+                    r[self.name] = nodes[:count]
+                yield count, r
+        elif self.name == "bare_name":
+            yield self._bare_name_matches(nodes)
+        else:
+            # The reason for this is that hitting the recursion limit usually
+            # results in some ugly messages about how RuntimeErrors are being
+            # ignored. We only have to do this on CPython, though, because other
+            # implementations don't have this nasty bug in the first place.
+            if hasattr(sys, "getrefcount"):
+                save_stderr = sys.stderr
+                sys.stderr = StringIO()
+            try:
+                for count, r in self._recursive_matches(nodes, 0):
+                    if self.name:
+                        r[self.name] = nodes[:count]
+                    yield count, r
+            except RuntimeError:
+                # Fall back to the iterative pattern matching scheme if the
+                # recursive scheme hits the recursion limit (RecursionError).
+                for count, r in self._iterative_matches(nodes):
+                    if self.name:
+                        r[self.name] = nodes[:count]
+                    yield count, r
+            finally:
+                if hasattr(sys, "getrefcount"):
+                    sys.stderr = save_stderr
+
+    def _iterative_matches(self, nodes):
+        """Helper to iteratively yield the matches."""
+        nodelen = len(nodes)
+        if 0 >= self.min:
+            yield 0, {}
+
+        results = []
+        # generate matches that use just one alt from self.content
+        for alt in self.content:
+            for c, r in generate_matches(alt, nodes):
+                yield c, r
+                results.append((c, r))
+
+        # for each match, iterate down the nodes
+        while results:
+            new_results = []
+            for c0, r0 in results:
+                # stop if the entire set of nodes has been matched
+                if c0 < nodelen and c0 <= self.max:
+                    for alt in self.content:
+                        for c1, r1 in generate_matches(alt, nodes[c0:]):
+                            if c1 > 0:
+                                r = {}
+                                r.update(r0)
+                                r.update(r1)
+                                yield c0 + c1, r
+                                new_results.append((c0 + c1, r))
+            results = new_results
+
+    def _bare_name_matches(self, nodes):
+        """Special optimized matcher for bare_name."""
+        count = 0
+        r = {}
+        done = False
+        max = len(nodes)
+        while not done and count < max:
+            done = True
+            for leaf in self.content:
+                if leaf[0].match(nodes[count], r):
+                    count += 1
+                    done = False
+                    break
+        r[self.name] = nodes[:count]
+        return count, r
+
+    def _recursive_matches(self, nodes, count):
+        """Helper to recursively yield the matches."""
+        assert self.content is not None
+        if count >= self.min:
+            yield 0, {}
+        if count < self.max:
+            for alt in self.content:
+                for c0, r0 in generate_matches(alt, nodes):
+                    for c1, r1 in self._recursive_matches(nodes[c0:], count+1):
+                        r = {}
+                        r.update(r0)
+                        r.update(r1)
+                        yield c0 + c1, r
+
+
+class NegatedPattern(BasePattern):
+
+    def __init__(self, content=None):
+        """
+        Initializer.
+
+        The argument is either a pattern or None.  If it is None, this
+        only matches an empty sequence (effectively '$' in regex
+        lingo).  If it is not None, this matches whenever the argument
+        pattern doesn't have any matches.
+        """
+        if content is not None:
+            assert isinstance(content, BasePattern), repr(content)
+        self.content = content
+
+    def match(self, node):
+        # We never match a node in its entirety
+        return False
+
+    def match_seq(self, nodes):
+        # We only match an empty sequence of nodes in its entirety
+        return len(nodes) == 0
+
+    def generate_matches(self, nodes):
+        if self.content is None:
+            # Return a match if there is an empty sequence
+            if len(nodes) == 0:
+                yield 0, {}
+        else:
+            # Return a match if the argument pattern has no matches
+            for c, r in self.content.generate_matches(nodes):
+                return
+            yield 0, {}
+
+
+def generate_matches(patterns, nodes):
+    """
+    Generator yielding matches for a sequence of patterns and nodes.
+
+    Args:
+        patterns: a sequence of patterns
+        nodes: a sequence of nodes
+
+    Yields:
+        (count, results) tuples where:
+        count: the entire sequence of patterns matches nodes[:count];
+        results: dict containing named submatches.
+        """
+    if not patterns:
+        yield 0, {}
+    else:
+        p, rest = patterns[0], patterns[1:]
+        for c0, r0 in p.generate_matches(nodes):
+            if not rest:
+                yield c0, r0
+            else:
+                for c1, r1 in generate_matches(rest, nodes[c0:]):
+                    r = {}
+                    r.update(r0)
+                    r.update(r1)
+                    yield c0 + c1, r
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diff --git a/llava/lib/python3.10/multiprocessing/dummy/__init__.py b/llava/lib/python3.10/multiprocessing/dummy/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..6a1468609e347b3a0b9281e5c9e6ec311fcb37e5
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/dummy/__init__.py
@@ -0,0 +1,126 @@
+#
+# Support for the API of the multiprocessing package using threads
+#
+# multiprocessing/dummy/__init__.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+__all__ = [
+    'Process', 'current_process', 'active_children', 'freeze_support',
+    'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Condition',
+    'Event', 'Barrier', 'Queue', 'Manager', 'Pipe', 'Pool', 'JoinableQueue'
+    ]
+
+#
+# Imports
+#
+
+import threading
+import sys
+import weakref
+import array
+
+from .connection import Pipe
+from threading import Lock, RLock, Semaphore, BoundedSemaphore
+from threading import Event, Condition, Barrier
+from queue import Queue
+
+#
+#
+#
+
+class DummyProcess(threading.Thread):
+
+    def __init__(self, group=None, target=None, name=None, args=(), kwargs={}):
+        threading.Thread.__init__(self, group, target, name, args, kwargs)
+        self._pid = None
+        self._children = weakref.WeakKeyDictionary()
+        self._start_called = False
+        self._parent = current_process()
+
+    def start(self):
+        if self._parent is not current_process():
+            raise RuntimeError(
+                "Parent is {0!r} but current_process is {1!r}".format(
+                    self._parent, current_process()))
+        self._start_called = True
+        if hasattr(self._parent, '_children'):
+            self._parent._children[self] = None
+        threading.Thread.start(self)
+
+    @property
+    def exitcode(self):
+        if self._start_called and not self.is_alive():
+            return 0
+        else:
+            return None
+
+#
+#
+#
+
+Process = DummyProcess
+current_process = threading.current_thread
+current_process()._children = weakref.WeakKeyDictionary()
+
+def active_children():
+    children = current_process()._children
+    for p in list(children):
+        if not p.is_alive():
+            children.pop(p, None)
+    return list(children)
+
+def freeze_support():
+    pass
+
+#
+#
+#
+
+class Namespace(object):
+    def __init__(self, /, **kwds):
+        self.__dict__.update(kwds)
+    def __repr__(self):
+        items = list(self.__dict__.items())
+        temp = []
+        for name, value in items:
+            if not name.startswith('_'):
+                temp.append('%s=%r' % (name, value))
+        temp.sort()
+        return '%s(%s)' % (self.__class__.__name__, ', '.join(temp))
+
+dict = dict
+list = list
+
+def Array(typecode, sequence, lock=True):
+    return array.array(typecode, sequence)
+
+class Value(object):
+    def __init__(self, typecode, value, lock=True):
+        self._typecode = typecode
+        self._value = value
+
+    @property
+    def value(self):
+        return self._value
+
+    @value.setter
+    def value(self, value):
+        self._value = value
+
+    def __repr__(self):
+        return '<%s(%r, %r)>'%(type(self).__name__,self._typecode,self._value)
+
+def Manager():
+    return sys.modules[__name__]
+
+def shutdown():
+    pass
+
+def Pool(processes=None, initializer=None, initargs=()):
+    from ..pool import ThreadPool
+    return ThreadPool(processes, initializer, initargs)
+
+JoinableQueue = Queue
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diff --git a/llava/lib/python3.10/multiprocessing/dummy/__pycache__/connection.cpython-310.pyc b/llava/lib/python3.10/multiprocessing/dummy/__pycache__/connection.cpython-310.pyc
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diff --git a/llava/lib/python3.10/multiprocessing/dummy/connection.py b/llava/lib/python3.10/multiprocessing/dummy/connection.py
new file mode 100644
index 0000000000000000000000000000000000000000..f0ce320fcf514083f3a6477e87abf40e9719285a
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/dummy/connection.py
@@ -0,0 +1,75 @@
+#
+# Analogue of `multiprocessing.connection` which uses queues instead of sockets
+#
+# multiprocessing/dummy/connection.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+__all__ = [ 'Client', 'Listener', 'Pipe' ]
+
+from queue import Queue
+
+
+families = [None]
+
+
+class Listener(object):
+
+    def __init__(self, address=None, family=None, backlog=1):
+        self._backlog_queue = Queue(backlog)
+
+    def accept(self):
+        return Connection(*self._backlog_queue.get())
+
+    def close(self):
+        self._backlog_queue = None
+
+    @property
+    def address(self):
+        return self._backlog_queue
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_value, exc_tb):
+        self.close()
+
+
+def Client(address):
+    _in, _out = Queue(), Queue()
+    address.put((_out, _in))
+    return Connection(_in, _out)
+
+
+def Pipe(duplex=True):
+    a, b = Queue(), Queue()
+    return Connection(a, b), Connection(b, a)
+
+
+class Connection(object):
+
+    def __init__(self, _in, _out):
+        self._out = _out
+        self._in = _in
+        self.send = self.send_bytes = _out.put
+        self.recv = self.recv_bytes = _in.get
+
+    def poll(self, timeout=0.0):
+        if self._in.qsize() > 0:
+            return True
+        if timeout <= 0.0:
+            return False
+        with self._in.not_empty:
+            self._in.not_empty.wait(timeout)
+        return self._in.qsize() > 0
+
+    def close(self):
+        pass
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_value, exc_tb):
+        self.close()
diff --git a/llava/lib/python3.10/multiprocessing/heap.py b/llava/lib/python3.10/multiprocessing/heap.py
new file mode 100644
index 0000000000000000000000000000000000000000..6217dfe12689b379f2dad6f1e4bc3bbf6af8f60a
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/heap.py
@@ -0,0 +1,337 @@
+#
+# Module which supports allocation of memory from an mmap
+#
+# multiprocessing/heap.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+import bisect
+from collections import defaultdict
+import mmap
+import os
+import sys
+import tempfile
+import threading
+
+from .context import reduction, assert_spawning
+from . import util
+
+__all__ = ['BufferWrapper']
+
+#
+# Inheritable class which wraps an mmap, and from which blocks can be allocated
+#
+
+if sys.platform == 'win32':
+
+    import _winapi
+
+    class Arena(object):
+        """
+        A shared memory area backed by anonymous memory (Windows).
+        """
+
+        _rand = tempfile._RandomNameSequence()
+
+        def __init__(self, size):
+            self.size = size
+            for i in range(100):
+                name = 'pym-%d-%s' % (os.getpid(), next(self._rand))
+                buf = mmap.mmap(-1, size, tagname=name)
+                if _winapi.GetLastError() == 0:
+                    break
+                # We have reopened a preexisting mmap.
+                buf.close()
+            else:
+                raise FileExistsError('Cannot find name for new mmap')
+            self.name = name
+            self.buffer = buf
+            self._state = (self.size, self.name)
+
+        def __getstate__(self):
+            assert_spawning(self)
+            return self._state
+
+        def __setstate__(self, state):
+            self.size, self.name = self._state = state
+            # Reopen existing mmap
+            self.buffer = mmap.mmap(-1, self.size, tagname=self.name)
+            # XXX Temporarily preventing buildbot failures while determining
+            # XXX the correct long-term fix. See issue 23060
+            #assert _winapi.GetLastError() == _winapi.ERROR_ALREADY_EXISTS
+
+else:
+
+    class Arena(object):
+        """
+        A shared memory area backed by a temporary file (POSIX).
+        """
+
+        if sys.platform == 'linux':
+            _dir_candidates = ['/dev/shm']
+        else:
+            _dir_candidates = []
+
+        def __init__(self, size, fd=-1):
+            self.size = size
+            self.fd = fd
+            if fd == -1:
+                # Arena is created anew (if fd != -1, it means we're coming
+                # from rebuild_arena() below)
+                self.fd, name = tempfile.mkstemp(
+                     prefix='pym-%d-'%os.getpid(),
+                     dir=self._choose_dir(size))
+                os.unlink(name)
+                util.Finalize(self, os.close, (self.fd,))
+                os.ftruncate(self.fd, size)
+            self.buffer = mmap.mmap(self.fd, self.size)
+
+        def _choose_dir(self, size):
+            # Choose a non-storage backed directory if possible,
+            # to improve performance
+            for d in self._dir_candidates:
+                st = os.statvfs(d)
+                if st.f_bavail * st.f_frsize >= size:  # enough free space?
+                    return d
+            return util.get_temp_dir()
+
+    def reduce_arena(a):
+        if a.fd == -1:
+            raise ValueError('Arena is unpicklable because '
+                             'forking was enabled when it was created')
+        return rebuild_arena, (a.size, reduction.DupFd(a.fd))
+
+    def rebuild_arena(size, dupfd):
+        return Arena(size, dupfd.detach())
+
+    reduction.register(Arena, reduce_arena)
+
+#
+# Class allowing allocation of chunks of memory from arenas
+#
+
+class Heap(object):
+
+    # Minimum malloc() alignment
+    _alignment = 8
+
+    _DISCARD_FREE_SPACE_LARGER_THAN = 4 * 1024 ** 2  # 4 MB
+    _DOUBLE_ARENA_SIZE_UNTIL = 4 * 1024 ** 2
+
+    def __init__(self, size=mmap.PAGESIZE):
+        self._lastpid = os.getpid()
+        self._lock = threading.Lock()
+        # Current arena allocation size
+        self._size = size
+        # A sorted list of available block sizes in arenas
+        self._lengths = []
+
+        # Free block management:
+        # - map each block size to a list of `(Arena, start, stop)` blocks
+        self._len_to_seq = {}
+        # - map `(Arena, start)` tuple to the `(Arena, start, stop)` block
+        #   starting at that offset
+        self._start_to_block = {}
+        # - map `(Arena, stop)` tuple to the `(Arena, start, stop)` block
+        #   ending at that offset
+        self._stop_to_block = {}
+
+        # Map arenas to their `(Arena, start, stop)` blocks in use
+        self._allocated_blocks = defaultdict(set)
+        self._arenas = []
+
+        # List of pending blocks to free - see comment in free() below
+        self._pending_free_blocks = []
+
+        # Statistics
+        self._n_mallocs = 0
+        self._n_frees = 0
+
+    @staticmethod
+    def _roundup(n, alignment):
+        # alignment must be a power of 2
+        mask = alignment - 1
+        return (n + mask) & ~mask
+
+    def _new_arena(self, size):
+        # Create a new arena with at least the given *size*
+        length = self._roundup(max(self._size, size), mmap.PAGESIZE)
+        # We carve larger and larger arenas, for efficiency, until we
+        # reach a large-ish size (roughly L3 cache-sized)
+        if self._size < self._DOUBLE_ARENA_SIZE_UNTIL:
+            self._size *= 2
+        util.info('allocating a new mmap of length %d', length)
+        arena = Arena(length)
+        self._arenas.append(arena)
+        return (arena, 0, length)
+
+    def _discard_arena(self, arena):
+        # Possibly delete the given (unused) arena
+        length = arena.size
+        # Reusing an existing arena is faster than creating a new one, so
+        # we only reclaim space if it's large enough.
+        if length < self._DISCARD_FREE_SPACE_LARGER_THAN:
+            return
+        blocks = self._allocated_blocks.pop(arena)
+        assert not blocks
+        del self._start_to_block[(arena, 0)]
+        del self._stop_to_block[(arena, length)]
+        self._arenas.remove(arena)
+        seq = self._len_to_seq[length]
+        seq.remove((arena, 0, length))
+        if not seq:
+            del self._len_to_seq[length]
+            self._lengths.remove(length)
+
+    def _malloc(self, size):
+        # returns a large enough block -- it might be much larger
+        i = bisect.bisect_left(self._lengths, size)
+        if i == len(self._lengths):
+            return self._new_arena(size)
+        else:
+            length = self._lengths[i]
+            seq = self._len_to_seq[length]
+            block = seq.pop()
+            if not seq:
+                del self._len_to_seq[length], self._lengths[i]
+
+        (arena, start, stop) = block
+        del self._start_to_block[(arena, start)]
+        del self._stop_to_block[(arena, stop)]
+        return block
+
+    def _add_free_block(self, block):
+        # make block available and try to merge with its neighbours in the arena
+        (arena, start, stop) = block
+
+        try:
+            prev_block = self._stop_to_block[(arena, start)]
+        except KeyError:
+            pass
+        else:
+            start, _ = self._absorb(prev_block)
+
+        try:
+            next_block = self._start_to_block[(arena, stop)]
+        except KeyError:
+            pass
+        else:
+            _, stop = self._absorb(next_block)
+
+        block = (arena, start, stop)
+        length = stop - start
+
+        try:
+            self._len_to_seq[length].append(block)
+        except KeyError:
+            self._len_to_seq[length] = [block]
+            bisect.insort(self._lengths, length)
+
+        self._start_to_block[(arena, start)] = block
+        self._stop_to_block[(arena, stop)] = block
+
+    def _absorb(self, block):
+        # deregister this block so it can be merged with a neighbour
+        (arena, start, stop) = block
+        del self._start_to_block[(arena, start)]
+        del self._stop_to_block[(arena, stop)]
+
+        length = stop - start
+        seq = self._len_to_seq[length]
+        seq.remove(block)
+        if not seq:
+            del self._len_to_seq[length]
+            self._lengths.remove(length)
+
+        return start, stop
+
+    def _remove_allocated_block(self, block):
+        arena, start, stop = block
+        blocks = self._allocated_blocks[arena]
+        blocks.remove((start, stop))
+        if not blocks:
+            # Arena is entirely free, discard it from this process
+            self._discard_arena(arena)
+
+    def _free_pending_blocks(self):
+        # Free all the blocks in the pending list - called with the lock held.
+        while True:
+            try:
+                block = self._pending_free_blocks.pop()
+            except IndexError:
+                break
+            self._add_free_block(block)
+            self._remove_allocated_block(block)
+
+    def free(self, block):
+        # free a block returned by malloc()
+        # Since free() can be called asynchronously by the GC, it could happen
+        # that it's called while self._lock is held: in that case,
+        # self._lock.acquire() would deadlock (issue #12352). To avoid that, a
+        # trylock is used instead, and if the lock can't be acquired
+        # immediately, the block is added to a list of blocks to be freed
+        # synchronously sometimes later from malloc() or free(), by calling
+        # _free_pending_blocks() (appending and retrieving from a list is not
+        # strictly thread-safe but under CPython it's atomic thanks to the GIL).
+        if os.getpid() != self._lastpid:
+            raise ValueError(
+                "My pid ({0:n}) is not last pid {1:n}".format(
+                    os.getpid(),self._lastpid))
+        if not self._lock.acquire(False):
+            # can't acquire the lock right now, add the block to the list of
+            # pending blocks to free
+            self._pending_free_blocks.append(block)
+        else:
+            # we hold the lock
+            try:
+                self._n_frees += 1
+                self._free_pending_blocks()
+                self._add_free_block(block)
+                self._remove_allocated_block(block)
+            finally:
+                self._lock.release()
+
+    def malloc(self, size):
+        # return a block of right size (possibly rounded up)
+        if size < 0:
+            raise ValueError("Size {0:n} out of range".format(size))
+        if sys.maxsize <= size:
+            raise OverflowError("Size {0:n} too large".format(size))
+        if os.getpid() != self._lastpid:
+            self.__init__()                     # reinitialize after fork
+        with self._lock:
+            self._n_mallocs += 1
+            # allow pending blocks to be marked available
+            self._free_pending_blocks()
+            size = self._roundup(max(size, 1), self._alignment)
+            (arena, start, stop) = self._malloc(size)
+            real_stop = start + size
+            if real_stop < stop:
+                # if the returned block is larger than necessary, mark
+                # the remainder available
+                self._add_free_block((arena, real_stop, stop))
+            self._allocated_blocks[arena].add((start, real_stop))
+            return (arena, start, real_stop)
+
+#
+# Class wrapping a block allocated out of a Heap -- can be inherited by child process
+#
+
+class BufferWrapper(object):
+
+    _heap = Heap()
+
+    def __init__(self, size):
+        if size < 0:
+            raise ValueError("Size {0:n} out of range".format(size))
+        if sys.maxsize <= size:
+            raise OverflowError("Size {0:n} too large".format(size))
+        block = BufferWrapper._heap.malloc(size)
+        self._state = (block, size)
+        util.Finalize(self, BufferWrapper._heap.free, args=(block,))
+
+    def create_memoryview(self):
+        (arena, start, stop), size = self._state
+        return memoryview(arena.buffer)[start:start+size]
diff --git a/llava/lib/python3.10/multiprocessing/pool.py b/llava/lib/python3.10/multiprocessing/pool.py
new file mode 100644
index 0000000000000000000000000000000000000000..961d7e5991847af1ea8034a5a37d9159cf4614ae
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/pool.py
@@ -0,0 +1,957 @@
+#
+# Module providing the `Pool` class for managing a process pool
+#
+# multiprocessing/pool.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+__all__ = ['Pool', 'ThreadPool']
+
+#
+# Imports
+#
+
+import collections
+import itertools
+import os
+import queue
+import threading
+import time
+import traceback
+import types
+import warnings
+
+# If threading is available then ThreadPool should be provided.  Therefore
+# we avoid top-level imports which are liable to fail on some systems.
+from . import util
+from . import get_context, TimeoutError
+from .connection import wait
+
+#
+# Constants representing the state of a pool
+#
+
+INIT = "INIT"
+RUN = "RUN"
+CLOSE = "CLOSE"
+TERMINATE = "TERMINATE"
+
+#
+# Miscellaneous
+#
+
+job_counter = itertools.count()
+
+def mapstar(args):
+    return list(map(*args))
+
+def starmapstar(args):
+    return list(itertools.starmap(args[0], args[1]))
+
+#
+# Hack to embed stringification of remote traceback in local traceback
+#
+
+class RemoteTraceback(Exception):
+    def __init__(self, tb):
+        self.tb = tb
+    def __str__(self):
+        return self.tb
+
+class ExceptionWithTraceback:
+    def __init__(self, exc, tb):
+        tb = traceback.format_exception(type(exc), exc, tb)
+        tb = ''.join(tb)
+        self.exc = exc
+        self.tb = '\n"""\n%s"""' % tb
+    def __reduce__(self):
+        return rebuild_exc, (self.exc, self.tb)
+
+def rebuild_exc(exc, tb):
+    exc.__cause__ = RemoteTraceback(tb)
+    return exc
+
+#
+# Code run by worker processes
+#
+
+class MaybeEncodingError(Exception):
+    """Wraps possible unpickleable errors, so they can be
+    safely sent through the socket."""
+
+    def __init__(self, exc, value):
+        self.exc = repr(exc)
+        self.value = repr(value)
+        super(MaybeEncodingError, self).__init__(self.exc, self.value)
+
+    def __str__(self):
+        return "Error sending result: '%s'. Reason: '%s'" % (self.value,
+                                                             self.exc)
+
+    def __repr__(self):
+        return "<%s: %s>" % (self.__class__.__name__, self)
+
+
+def worker(inqueue, outqueue, initializer=None, initargs=(), maxtasks=None,
+           wrap_exception=False):
+    if (maxtasks is not None) and not (isinstance(maxtasks, int)
+                                       and maxtasks >= 1):
+        raise AssertionError("Maxtasks {!r} is not valid".format(maxtasks))
+    put = outqueue.put
+    get = inqueue.get
+    if hasattr(inqueue, '_writer'):
+        inqueue._writer.close()
+        outqueue._reader.close()
+
+    if initializer is not None:
+        initializer(*initargs)
+
+    completed = 0
+    while maxtasks is None or (maxtasks and completed < maxtasks):
+        try:
+            task = get()
+        except (EOFError, OSError):
+            util.debug('worker got EOFError or OSError -- exiting')
+            break
+
+        if task is None:
+            util.debug('worker got sentinel -- exiting')
+            break
+
+        job, i, func, args, kwds = task
+        try:
+            result = (True, func(*args, **kwds))
+        except Exception as e:
+            if wrap_exception and func is not _helper_reraises_exception:
+                e = ExceptionWithTraceback(e, e.__traceback__)
+            result = (False, e)
+        try:
+            put((job, i, result))
+        except Exception as e:
+            wrapped = MaybeEncodingError(e, result[1])
+            util.debug("Possible encoding error while sending result: %s" % (
+                wrapped))
+            put((job, i, (False, wrapped)))
+
+        task = job = result = func = args = kwds = None
+        completed += 1
+    util.debug('worker exiting after %d tasks' % completed)
+
+def _helper_reraises_exception(ex):
+    'Pickle-able helper function for use by _guarded_task_generation.'
+    raise ex
+
+#
+# Class representing a process pool
+#
+
+class _PoolCache(dict):
+    """
+    Class that implements a cache for the Pool class that will notify
+    the pool management threads every time the cache is emptied. The
+    notification is done by the use of a queue that is provided when
+    instantiating the cache.
+    """
+    def __init__(self, /, *args, notifier=None, **kwds):
+        self.notifier = notifier
+        super().__init__(*args, **kwds)
+
+    def __delitem__(self, item):
+        super().__delitem__(item)
+
+        # Notify that the cache is empty. This is important because the
+        # pool keeps maintaining workers until the cache gets drained. This
+        # eliminates a race condition in which a task is finished after the
+        # the pool's _handle_workers method has enter another iteration of the
+        # loop. In this situation, the only event that can wake up the pool
+        # is the cache to be emptied (no more tasks available).
+        if not self:
+            self.notifier.put(None)
+
+class Pool(object):
+    '''
+    Class which supports an async version of applying functions to arguments.
+    '''
+    _wrap_exception = True
+
+    @staticmethod
+    def Process(ctx, *args, **kwds):
+        return ctx.Process(*args, **kwds)
+
+    def __init__(self, processes=None, initializer=None, initargs=(),
+                 maxtasksperchild=None, context=None):
+        # Attributes initialized early to make sure that they exist in
+        # __del__() if __init__() raises an exception
+        self._pool = []
+        self._state = INIT
+
+        self._ctx = context or get_context()
+        self._setup_queues()
+        self._taskqueue = queue.SimpleQueue()
+        # The _change_notifier queue exist to wake up self._handle_workers()
+        # when the cache (self._cache) is empty or when there is a change in
+        # the _state variable of the thread that runs _handle_workers.
+        self._change_notifier = self._ctx.SimpleQueue()
+        self._cache = _PoolCache(notifier=self._change_notifier)
+        self._maxtasksperchild = maxtasksperchild
+        self._initializer = initializer
+        self._initargs = initargs
+
+        if processes is None:
+            processes = os.cpu_count() or 1
+        if processes < 1:
+            raise ValueError("Number of processes must be at least 1")
+        if maxtasksperchild is not None:
+            if not isinstance(maxtasksperchild, int) or maxtasksperchild <= 0:
+                raise ValueError("maxtasksperchild must be a positive int or None")
+
+        if initializer is not None and not callable(initializer):
+            raise TypeError('initializer must be a callable')
+
+        self._processes = processes
+        try:
+            self._repopulate_pool()
+        except Exception:
+            for p in self._pool:
+                if p.exitcode is None:
+                    p.terminate()
+            for p in self._pool:
+                p.join()
+            raise
+
+        sentinels = self._get_sentinels()
+
+        self._worker_handler = threading.Thread(
+            target=Pool._handle_workers,
+            args=(self._cache, self._taskqueue, self._ctx, self.Process,
+                  self._processes, self._pool, self._inqueue, self._outqueue,
+                  self._initializer, self._initargs, self._maxtasksperchild,
+                  self._wrap_exception, sentinels, self._change_notifier)
+            )
+        self._worker_handler.daemon = True
+        self._worker_handler._state = RUN
+        self._worker_handler.start()
+
+
+        self._task_handler = threading.Thread(
+            target=Pool._handle_tasks,
+            args=(self._taskqueue, self._quick_put, self._outqueue,
+                  self._pool, self._cache)
+            )
+        self._task_handler.daemon = True
+        self._task_handler._state = RUN
+        self._task_handler.start()
+
+        self._result_handler = threading.Thread(
+            target=Pool._handle_results,
+            args=(self._outqueue, self._quick_get, self._cache)
+            )
+        self._result_handler.daemon = True
+        self._result_handler._state = RUN
+        self._result_handler.start()
+
+        self._terminate = util.Finalize(
+            self, self._terminate_pool,
+            args=(self._taskqueue, self._inqueue, self._outqueue, self._pool,
+                  self._change_notifier, self._worker_handler, self._task_handler,
+                  self._result_handler, self._cache),
+            exitpriority=15
+            )
+        self._state = RUN
+
+    # Copy globals as function locals to make sure that they are available
+    # during Python shutdown when the Pool is destroyed.
+    def __del__(self, _warn=warnings.warn, RUN=RUN):
+        if self._state == RUN:
+            _warn(f"unclosed running multiprocessing pool {self!r}",
+                  ResourceWarning, source=self)
+            if getattr(self, '_change_notifier', None) is not None:
+                self._change_notifier.put(None)
+
+    def __repr__(self):
+        cls = self.__class__
+        return (f'<{cls.__module__}.{cls.__qualname__} '
+                f'state={self._state} '
+                f'pool_size={len(self._pool)}>')
+
+    def _get_sentinels(self):
+        task_queue_sentinels = [self._outqueue._reader]
+        self_notifier_sentinels = [self._change_notifier._reader]
+        return [*task_queue_sentinels, *self_notifier_sentinels]
+
+    @staticmethod
+    def _get_worker_sentinels(workers):
+        return [worker.sentinel for worker in
+                workers if hasattr(worker, "sentinel")]
+
+    @staticmethod
+    def _join_exited_workers(pool):
+        """Cleanup after any worker processes which have exited due to reaching
+        their specified lifetime.  Returns True if any workers were cleaned up.
+        """
+        cleaned = False
+        for i in reversed(range(len(pool))):
+            worker = pool[i]
+            if worker.exitcode is not None:
+                # worker exited
+                util.debug('cleaning up worker %d' % i)
+                worker.join()
+                cleaned = True
+                del pool[i]
+        return cleaned
+
+    def _repopulate_pool(self):
+        return self._repopulate_pool_static(self._ctx, self.Process,
+                                            self._processes,
+                                            self._pool, self._inqueue,
+                                            self._outqueue, self._initializer,
+                                            self._initargs,
+                                            self._maxtasksperchild,
+                                            self._wrap_exception)
+
+    @staticmethod
+    def _repopulate_pool_static(ctx, Process, processes, pool, inqueue,
+                                outqueue, initializer, initargs,
+                                maxtasksperchild, wrap_exception):
+        """Bring the number of pool processes up to the specified number,
+        for use after reaping workers which have exited.
+        """
+        for i in range(processes - len(pool)):
+            w = Process(ctx, target=worker,
+                        args=(inqueue, outqueue,
+                              initializer,
+                              initargs, maxtasksperchild,
+                              wrap_exception))
+            w.name = w.name.replace('Process', 'PoolWorker')
+            w.daemon = True
+            w.start()
+            pool.append(w)
+            util.debug('added worker')
+
+    @staticmethod
+    def _maintain_pool(ctx, Process, processes, pool, inqueue, outqueue,
+                       initializer, initargs, maxtasksperchild,
+                       wrap_exception):
+        """Clean up any exited workers and start replacements for them.
+        """
+        if Pool._join_exited_workers(pool):
+            Pool._repopulate_pool_static(ctx, Process, processes, pool,
+                                         inqueue, outqueue, initializer,
+                                         initargs, maxtasksperchild,
+                                         wrap_exception)
+
+    def _setup_queues(self):
+        self._inqueue = self._ctx.SimpleQueue()
+        self._outqueue = self._ctx.SimpleQueue()
+        self._quick_put = self._inqueue._writer.send
+        self._quick_get = self._outqueue._reader.recv
+
+    def _check_running(self):
+        if self._state != RUN:
+            raise ValueError("Pool not running")
+
+    def apply(self, func, args=(), kwds={}):
+        '''
+        Equivalent of `func(*args, **kwds)`.
+        Pool must be running.
+        '''
+        return self.apply_async(func, args, kwds).get()
+
+    def map(self, func, iterable, chunksize=None):
+        '''
+        Apply `func` to each element in `iterable`, collecting the results
+        in a list that is returned.
+        '''
+        return self._map_async(func, iterable, mapstar, chunksize).get()
+
+    def starmap(self, func, iterable, chunksize=None):
+        '''
+        Like `map()` method but the elements of the `iterable` are expected to
+        be iterables as well and will be unpacked as arguments. Hence
+        `func` and (a, b) becomes func(a, b).
+        '''
+        return self._map_async(func, iterable, starmapstar, chunksize).get()
+
+    def starmap_async(self, func, iterable, chunksize=None, callback=None,
+            error_callback=None):
+        '''
+        Asynchronous version of `starmap()` method.
+        '''
+        return self._map_async(func, iterable, starmapstar, chunksize,
+                               callback, error_callback)
+
+    def _guarded_task_generation(self, result_job, func, iterable):
+        '''Provides a generator of tasks for imap and imap_unordered with
+        appropriate handling for iterables which throw exceptions during
+        iteration.'''
+        try:
+            i = -1
+            for i, x in enumerate(iterable):
+                yield (result_job, i, func, (x,), {})
+        except Exception as e:
+            yield (result_job, i+1, _helper_reraises_exception, (e,), {})
+
+    def imap(self, func, iterable, chunksize=1):
+        '''
+        Equivalent of `map()` -- can be MUCH slower than `Pool.map()`.
+        '''
+        self._check_running()
+        if chunksize == 1:
+            result = IMapIterator(self)
+            self._taskqueue.put(
+                (
+                    self._guarded_task_generation(result._job, func, iterable),
+                    result._set_length
+                ))
+            return result
+        else:
+            if chunksize < 1:
+                raise ValueError(
+                    "Chunksize must be 1+, not {0:n}".format(
+                        chunksize))
+            task_batches = Pool._get_tasks(func, iterable, chunksize)
+            result = IMapIterator(self)
+            self._taskqueue.put(
+                (
+                    self._guarded_task_generation(result._job,
+                                                  mapstar,
+                                                  task_batches),
+                    result._set_length
+                ))
+            return (item for chunk in result for item in chunk)
+
+    def imap_unordered(self, func, iterable, chunksize=1):
+        '''
+        Like `imap()` method but ordering of results is arbitrary.
+        '''
+        self._check_running()
+        if chunksize == 1:
+            result = IMapUnorderedIterator(self)
+            self._taskqueue.put(
+                (
+                    self._guarded_task_generation(result._job, func, iterable),
+                    result._set_length
+                ))
+            return result
+        else:
+            if chunksize < 1:
+                raise ValueError(
+                    "Chunksize must be 1+, not {0!r}".format(chunksize))
+            task_batches = Pool._get_tasks(func, iterable, chunksize)
+            result = IMapUnorderedIterator(self)
+            self._taskqueue.put(
+                (
+                    self._guarded_task_generation(result._job,
+                                                  mapstar,
+                                                  task_batches),
+                    result._set_length
+                ))
+            return (item for chunk in result for item in chunk)
+
+    def apply_async(self, func, args=(), kwds={}, callback=None,
+            error_callback=None):
+        '''
+        Asynchronous version of `apply()` method.
+        '''
+        self._check_running()
+        result = ApplyResult(self, callback, error_callback)
+        self._taskqueue.put(([(result._job, 0, func, args, kwds)], None))
+        return result
+
+    def map_async(self, func, iterable, chunksize=None, callback=None,
+            error_callback=None):
+        '''
+        Asynchronous version of `map()` method.
+        '''
+        return self._map_async(func, iterable, mapstar, chunksize, callback,
+            error_callback)
+
+    def _map_async(self, func, iterable, mapper, chunksize=None, callback=None,
+            error_callback=None):
+        '''
+        Helper function to implement map, starmap and their async counterparts.
+        '''
+        self._check_running()
+        if not hasattr(iterable, '__len__'):
+            iterable = list(iterable)
+
+        if chunksize is None:
+            chunksize, extra = divmod(len(iterable), len(self._pool) * 4)
+            if extra:
+                chunksize += 1
+        if len(iterable) == 0:
+            chunksize = 0
+
+        task_batches = Pool._get_tasks(func, iterable, chunksize)
+        result = MapResult(self, chunksize, len(iterable), callback,
+                           error_callback=error_callback)
+        self._taskqueue.put(
+            (
+                self._guarded_task_generation(result._job,
+                                              mapper,
+                                              task_batches),
+                None
+            )
+        )
+        return result
+
+    @staticmethod
+    def _wait_for_updates(sentinels, change_notifier, timeout=None):
+        wait(sentinels, timeout=timeout)
+        while not change_notifier.empty():
+            change_notifier.get()
+
+    @classmethod
+    def _handle_workers(cls, cache, taskqueue, ctx, Process, processes,
+                        pool, inqueue, outqueue, initializer, initargs,
+                        maxtasksperchild, wrap_exception, sentinels,
+                        change_notifier):
+        thread = threading.current_thread()
+
+        # Keep maintaining workers until the cache gets drained, unless the pool
+        # is terminated.
+        while thread._state == RUN or (cache and thread._state != TERMINATE):
+            cls._maintain_pool(ctx, Process, processes, pool, inqueue,
+                               outqueue, initializer, initargs,
+                               maxtasksperchild, wrap_exception)
+
+            current_sentinels = [*cls._get_worker_sentinels(pool), *sentinels]
+
+            cls._wait_for_updates(current_sentinels, change_notifier)
+        # send sentinel to stop workers
+        taskqueue.put(None)
+        util.debug('worker handler exiting')
+
+    @staticmethod
+    def _handle_tasks(taskqueue, put, outqueue, pool, cache):
+        thread = threading.current_thread()
+
+        for taskseq, set_length in iter(taskqueue.get, None):
+            task = None
+            try:
+                # iterating taskseq cannot fail
+                for task in taskseq:
+                    if thread._state != RUN:
+                        util.debug('task handler found thread._state != RUN')
+                        break
+                    try:
+                        put(task)
+                    except Exception as e:
+                        job, idx = task[:2]
+                        try:
+                            cache[job]._set(idx, (False, e))
+                        except KeyError:
+                            pass
+                else:
+                    if set_length:
+                        util.debug('doing set_length()')
+                        idx = task[1] if task else -1
+                        set_length(idx + 1)
+                    continue
+                break
+            finally:
+                task = taskseq = job = None
+        else:
+            util.debug('task handler got sentinel')
+
+        try:
+            # tell result handler to finish when cache is empty
+            util.debug('task handler sending sentinel to result handler')
+            outqueue.put(None)
+
+            # tell workers there is no more work
+            util.debug('task handler sending sentinel to workers')
+            for p in pool:
+                put(None)
+        except OSError:
+            util.debug('task handler got OSError when sending sentinels')
+
+        util.debug('task handler exiting')
+
+    @staticmethod
+    def _handle_results(outqueue, get, cache):
+        thread = threading.current_thread()
+
+        while 1:
+            try:
+                task = get()
+            except (OSError, EOFError):
+                util.debug('result handler got EOFError/OSError -- exiting')
+                return
+
+            if thread._state != RUN:
+                assert thread._state == TERMINATE, "Thread not in TERMINATE"
+                util.debug('result handler found thread._state=TERMINATE')
+                break
+
+            if task is None:
+                util.debug('result handler got sentinel')
+                break
+
+            job, i, obj = task
+            try:
+                cache[job]._set(i, obj)
+            except KeyError:
+                pass
+            task = job = obj = None
+
+        while cache and thread._state != TERMINATE:
+            try:
+                task = get()
+            except (OSError, EOFError):
+                util.debug('result handler got EOFError/OSError -- exiting')
+                return
+
+            if task is None:
+                util.debug('result handler ignoring extra sentinel')
+                continue
+            job, i, obj = task
+            try:
+                cache[job]._set(i, obj)
+            except KeyError:
+                pass
+            task = job = obj = None
+
+        if hasattr(outqueue, '_reader'):
+            util.debug('ensuring that outqueue is not full')
+            # If we don't make room available in outqueue then
+            # attempts to add the sentinel (None) to outqueue may
+            # block.  There is guaranteed to be no more than 2 sentinels.
+            try:
+                for i in range(10):
+                    if not outqueue._reader.poll():
+                        break
+                    get()
+            except (OSError, EOFError):
+                pass
+
+        util.debug('result handler exiting: len(cache)=%s, thread._state=%s',
+              len(cache), thread._state)
+
+    @staticmethod
+    def _get_tasks(func, it, size):
+        it = iter(it)
+        while 1:
+            x = tuple(itertools.islice(it, size))
+            if not x:
+                return
+            yield (func, x)
+
+    def __reduce__(self):
+        raise NotImplementedError(
+              'pool objects cannot be passed between processes or pickled'
+              )
+
+    def close(self):
+        util.debug('closing pool')
+        if self._state == RUN:
+            self._state = CLOSE
+            self._worker_handler._state = CLOSE
+            self._change_notifier.put(None)
+
+    def terminate(self):
+        util.debug('terminating pool')
+        self._state = TERMINATE
+        self._terminate()
+
+    def join(self):
+        util.debug('joining pool')
+        if self._state == RUN:
+            raise ValueError("Pool is still running")
+        elif self._state not in (CLOSE, TERMINATE):
+            raise ValueError("In unknown state")
+        self._worker_handler.join()
+        self._task_handler.join()
+        self._result_handler.join()
+        for p in self._pool:
+            p.join()
+
+    @staticmethod
+    def _help_stuff_finish(inqueue, task_handler, size):
+        # task_handler may be blocked trying to put items on inqueue
+        util.debug('removing tasks from inqueue until task handler finished')
+        inqueue._rlock.acquire()
+        while task_handler.is_alive() and inqueue._reader.poll():
+            inqueue._reader.recv()
+            time.sleep(0)
+
+    @classmethod
+    def _terminate_pool(cls, taskqueue, inqueue, outqueue, pool, change_notifier,
+                        worker_handler, task_handler, result_handler, cache):
+        # this is guaranteed to only be called once
+        util.debug('finalizing pool')
+
+        # Notify that the worker_handler state has been changed so the
+        # _handle_workers loop can be unblocked (and exited) in order to
+        # send the finalization sentinel all the workers.
+        worker_handler._state = TERMINATE
+        change_notifier.put(None)
+
+        task_handler._state = TERMINATE
+
+        util.debug('helping task handler/workers to finish')
+        cls._help_stuff_finish(inqueue, task_handler, len(pool))
+
+        if (not result_handler.is_alive()) and (len(cache) != 0):
+            raise AssertionError(
+                "Cannot have cache with result_hander not alive")
+
+        result_handler._state = TERMINATE
+        change_notifier.put(None)
+        outqueue.put(None)                  # sentinel
+
+        # We must wait for the worker handler to exit before terminating
+        # workers because we don't want workers to be restarted behind our back.
+        util.debug('joining worker handler')
+        if threading.current_thread() is not worker_handler:
+            worker_handler.join()
+
+        # Terminate workers which haven't already finished.
+        if pool and hasattr(pool[0], 'terminate'):
+            util.debug('terminating workers')
+            for p in pool:
+                if p.exitcode is None:
+                    p.terminate()
+
+        util.debug('joining task handler')
+        if threading.current_thread() is not task_handler:
+            task_handler.join()
+
+        util.debug('joining result handler')
+        if threading.current_thread() is not result_handler:
+            result_handler.join()
+
+        if pool and hasattr(pool[0], 'terminate'):
+            util.debug('joining pool workers')
+            for p in pool:
+                if p.is_alive():
+                    # worker has not yet exited
+                    util.debug('cleaning up worker %d' % p.pid)
+                    p.join()
+
+    def __enter__(self):
+        self._check_running()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.terminate()
+
+#
+# Class whose instances are returned by `Pool.apply_async()`
+#
+
+class ApplyResult(object):
+
+    def __init__(self, pool, callback, error_callback):
+        self._pool = pool
+        self._event = threading.Event()
+        self._job = next(job_counter)
+        self._cache = pool._cache
+        self._callback = callback
+        self._error_callback = error_callback
+        self._cache[self._job] = self
+
+    def ready(self):
+        return self._event.is_set()
+
+    def successful(self):
+        if not self.ready():
+            raise ValueError("{0!r} not ready".format(self))
+        return self._success
+
+    def wait(self, timeout=None):
+        self._event.wait(timeout)
+
+    def get(self, timeout=None):
+        self.wait(timeout)
+        if not self.ready():
+            raise TimeoutError
+        if self._success:
+            return self._value
+        else:
+            raise self._value
+
+    def _set(self, i, obj):
+        self._success, self._value = obj
+        if self._callback and self._success:
+            self._callback(self._value)
+        if self._error_callback and not self._success:
+            self._error_callback(self._value)
+        self._event.set()
+        del self._cache[self._job]
+        self._pool = None
+
+    __class_getitem__ = classmethod(types.GenericAlias)
+
+AsyncResult = ApplyResult       # create alias -- see #17805
+
+#
+# Class whose instances are returned by `Pool.map_async()`
+#
+
+class MapResult(ApplyResult):
+
+    def __init__(self, pool, chunksize, length, callback, error_callback):
+        ApplyResult.__init__(self, pool, callback,
+                             error_callback=error_callback)
+        self._success = True
+        self._value = [None] * length
+        self._chunksize = chunksize
+        if chunksize <= 0:
+            self._number_left = 0
+            self._event.set()
+            del self._cache[self._job]
+        else:
+            self._number_left = length//chunksize + bool(length % chunksize)
+
+    def _set(self, i, success_result):
+        self._number_left -= 1
+        success, result = success_result
+        if success and self._success:
+            self._value[i*self._chunksize:(i+1)*self._chunksize] = result
+            if self._number_left == 0:
+                if self._callback:
+                    self._callback(self._value)
+                del self._cache[self._job]
+                self._event.set()
+                self._pool = None
+        else:
+            if not success and self._success:
+                # only store first exception
+                self._success = False
+                self._value = result
+            if self._number_left == 0:
+                # only consider the result ready once all jobs are done
+                if self._error_callback:
+                    self._error_callback(self._value)
+                del self._cache[self._job]
+                self._event.set()
+                self._pool = None
+
+#
+# Class whose instances are returned by `Pool.imap()`
+#
+
+class IMapIterator(object):
+
+    def __init__(self, pool):
+        self._pool = pool
+        self._cond = threading.Condition(threading.Lock())
+        self._job = next(job_counter)
+        self._cache = pool._cache
+        self._items = collections.deque()
+        self._index = 0
+        self._length = None
+        self._unsorted = {}
+        self._cache[self._job] = self
+
+    def __iter__(self):
+        return self
+
+    def next(self, timeout=None):
+        with self._cond:
+            try:
+                item = self._items.popleft()
+            except IndexError:
+                if self._index == self._length:
+                    self._pool = None
+                    raise StopIteration from None
+                self._cond.wait(timeout)
+                try:
+                    item = self._items.popleft()
+                except IndexError:
+                    if self._index == self._length:
+                        self._pool = None
+                        raise StopIteration from None
+                    raise TimeoutError from None
+
+        success, value = item
+        if success:
+            return value
+        raise value
+
+    __next__ = next                    # XXX
+
+    def _set(self, i, obj):
+        with self._cond:
+            if self._index == i:
+                self._items.append(obj)
+                self._index += 1
+                while self._index in self._unsorted:
+                    obj = self._unsorted.pop(self._index)
+                    self._items.append(obj)
+                    self._index += 1
+                self._cond.notify()
+            else:
+                self._unsorted[i] = obj
+
+            if self._index == self._length:
+                del self._cache[self._job]
+                self._pool = None
+
+    def _set_length(self, length):
+        with self._cond:
+            self._length = length
+            if self._index == self._length:
+                self._cond.notify()
+                del self._cache[self._job]
+                self._pool = None
+
+#
+# Class whose instances are returned by `Pool.imap_unordered()`
+#
+
+class IMapUnorderedIterator(IMapIterator):
+
+    def _set(self, i, obj):
+        with self._cond:
+            self._items.append(obj)
+            self._index += 1
+            self._cond.notify()
+            if self._index == self._length:
+                del self._cache[self._job]
+                self._pool = None
+
+#
+#
+#
+
+class ThreadPool(Pool):
+    _wrap_exception = False
+
+    @staticmethod
+    def Process(ctx, *args, **kwds):
+        from .dummy import Process
+        return Process(*args, **kwds)
+
+    def __init__(self, processes=None, initializer=None, initargs=()):
+        Pool.__init__(self, processes, initializer, initargs)
+
+    def _setup_queues(self):
+        self._inqueue = queue.SimpleQueue()
+        self._outqueue = queue.SimpleQueue()
+        self._quick_put = self._inqueue.put
+        self._quick_get = self._outqueue.get
+
+    def _get_sentinels(self):
+        return [self._change_notifier._reader]
+
+    @staticmethod
+    def _get_worker_sentinels(workers):
+        return []
+
+    @staticmethod
+    def _help_stuff_finish(inqueue, task_handler, size):
+        # drain inqueue, and put sentinels at its head to make workers finish
+        try:
+            while True:
+                inqueue.get(block=False)
+        except queue.Empty:
+            pass
+        for i in range(size):
+            inqueue.put(None)
+
+    def _wait_for_updates(self, sentinels, change_notifier, timeout):
+        time.sleep(timeout)
diff --git a/llava/lib/python3.10/multiprocessing/popen_fork.py b/llava/lib/python3.10/multiprocessing/popen_fork.py
new file mode 100644
index 0000000000000000000000000000000000000000..625981cf47627cab9d03cae4d3c6d8224a9375cc
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/popen_fork.py
@@ -0,0 +1,83 @@
+import os
+import signal
+
+from . import util
+
+__all__ = ['Popen']
+
+#
+# Start child process using fork
+#
+
+class Popen(object):
+    method = 'fork'
+
+    def __init__(self, process_obj):
+        util._flush_std_streams()
+        self.returncode = None
+        self.finalizer = None
+        self._launch(process_obj)
+
+    def duplicate_for_child(self, fd):
+        return fd
+
+    def poll(self, flag=os.WNOHANG):
+        if self.returncode is None:
+            try:
+                pid, sts = os.waitpid(self.pid, flag)
+            except OSError:
+                # Child process not yet created. See #1731717
+                # e.errno == errno.ECHILD == 10
+                return None
+            if pid == self.pid:
+                self.returncode = os.waitstatus_to_exitcode(sts)
+        return self.returncode
+
+    def wait(self, timeout=None):
+        if self.returncode is None:
+            if timeout is not None:
+                from multiprocessing.connection import wait
+                if not wait([self.sentinel], timeout):
+                    return None
+            # This shouldn't block if wait() returned successfully.
+            return self.poll(os.WNOHANG if timeout == 0.0 else 0)
+        return self.returncode
+
+    def _send_signal(self, sig):
+        if self.returncode is None:
+            try:
+                os.kill(self.pid, sig)
+            except ProcessLookupError:
+                pass
+            except OSError:
+                if self.wait(timeout=0.1) is None:
+                    raise
+
+    def terminate(self):
+        self._send_signal(signal.SIGTERM)
+
+    def kill(self):
+        self._send_signal(signal.SIGKILL)
+
+    def _launch(self, process_obj):
+        code = 1
+        parent_r, child_w = os.pipe()
+        child_r, parent_w = os.pipe()
+        self.pid = os.fork()
+        if self.pid == 0:
+            try:
+                os.close(parent_r)
+                os.close(parent_w)
+                code = process_obj._bootstrap(parent_sentinel=child_r)
+            finally:
+                os._exit(code)
+        else:
+            os.close(child_w)
+            os.close(child_r)
+            self.finalizer = util.Finalize(self, util.close_fds,
+                                           (parent_r, parent_w,))
+            self.sentinel = parent_r
+
+    def close(self):
+        if self.finalizer is not None:
+            self.finalizer()
diff --git a/llava/lib/python3.10/multiprocessing/popen_spawn_win32.py b/llava/lib/python3.10/multiprocessing/popen_spawn_win32.py
new file mode 100644
index 0000000000000000000000000000000000000000..9c4098d0fa4f1e6e3ec94ecc8e596dd3857d741f
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/popen_spawn_win32.py
@@ -0,0 +1,131 @@
+import os
+import msvcrt
+import signal
+import sys
+import _winapi
+
+from .context import reduction, get_spawning_popen, set_spawning_popen
+from . import spawn
+from . import util
+
+__all__ = ['Popen']
+
+#
+#
+#
+
+TERMINATE = 0x10000
+WINEXE = (sys.platform == 'win32' and getattr(sys, 'frozen', False))
+WINSERVICE = sys.executable.lower().endswith("pythonservice.exe")
+
+
+def _path_eq(p1, p2):
+    return p1 == p2 or os.path.normcase(p1) == os.path.normcase(p2)
+
+WINENV = not _path_eq(sys.executable, sys._base_executable)
+
+
+def _close_handles(*handles):
+    for handle in handles:
+        _winapi.CloseHandle(handle)
+
+
+#
+# We define a Popen class similar to the one from subprocess, but
+# whose constructor takes a process object as its argument.
+#
+
+class Popen(object):
+    '''
+    Start a subprocess to run the code of a process object
+    '''
+    method = 'spawn'
+
+    def __init__(self, process_obj):
+        prep_data = spawn.get_preparation_data(process_obj._name)
+
+        # read end of pipe will be duplicated by the child process
+        # -- see spawn_main() in spawn.py.
+        #
+        # bpo-33929: Previously, the read end of pipe was "stolen" by the child
+        # process, but it leaked a handle if the child process had been
+        # terminated before it could steal the handle from the parent process.
+        rhandle, whandle = _winapi.CreatePipe(None, 0)
+        wfd = msvcrt.open_osfhandle(whandle, 0)
+        cmd = spawn.get_command_line(parent_pid=os.getpid(),
+                                     pipe_handle=rhandle)
+        cmd = ' '.join('"%s"' % x for x in cmd)
+
+        python_exe = spawn.get_executable()
+
+        # bpo-35797: When running in a venv, we bypass the redirect
+        # executor and launch our base Python.
+        if WINENV and _path_eq(python_exe, sys.executable):
+            python_exe = sys._base_executable
+            env = os.environ.copy()
+            env["__PYVENV_LAUNCHER__"] = sys.executable
+        else:
+            env = None
+
+        with open(wfd, 'wb', closefd=True) as to_child:
+            # start process
+            try:
+                hp, ht, pid, tid = _winapi.CreateProcess(
+                    python_exe, cmd,
+                    None, None, False, 0, env, None, None)
+                _winapi.CloseHandle(ht)
+            except:
+                _winapi.CloseHandle(rhandle)
+                raise
+
+            # set attributes of self
+            self.pid = pid
+            self.returncode = None
+            self._handle = hp
+            self.sentinel = int(hp)
+            self.finalizer = util.Finalize(self, _close_handles,
+                                           (self.sentinel, int(rhandle)))
+
+            # send information to child
+            set_spawning_popen(self)
+            try:
+                reduction.dump(prep_data, to_child)
+                reduction.dump(process_obj, to_child)
+            finally:
+                set_spawning_popen(None)
+
+    def duplicate_for_child(self, handle):
+        assert self is get_spawning_popen()
+        return reduction.duplicate(handle, self.sentinel)
+
+    def wait(self, timeout=None):
+        if self.returncode is None:
+            if timeout is None:
+                msecs = _winapi.INFINITE
+            else:
+                msecs = max(0, int(timeout * 1000 + 0.5))
+
+            res = _winapi.WaitForSingleObject(int(self._handle), msecs)
+            if res == _winapi.WAIT_OBJECT_0:
+                code = _winapi.GetExitCodeProcess(self._handle)
+                if code == TERMINATE:
+                    code = -signal.SIGTERM
+                self.returncode = code
+
+        return self.returncode
+
+    def poll(self):
+        return self.wait(timeout=0)
+
+    def terminate(self):
+        if self.returncode is None:
+            try:
+                _winapi.TerminateProcess(int(self._handle), TERMINATE)
+            except OSError:
+                if self.wait(timeout=1.0) is None:
+                    raise
+
+    kill = terminate
+
+    def close(self):
+        self.finalizer()
diff --git a/llava/lib/python3.10/multiprocessing/process.py b/llava/lib/python3.10/multiprocessing/process.py
new file mode 100644
index 0000000000000000000000000000000000000000..2d5372e6d947c849eedef02b7885acfd25930e12
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/process.py
@@ -0,0 +1,438 @@
+#
+# Module providing the `Process` class which emulates `threading.Thread`
+#
+# multiprocessing/process.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+__all__ = ['BaseProcess', 'current_process', 'active_children',
+           'parent_process']
+
+#
+# Imports
+#
+
+import os
+import sys
+import signal
+import itertools
+import threading
+from _weakrefset import WeakSet
+
+#
+#
+#
+
+try:
+    ORIGINAL_DIR = os.path.abspath(os.getcwd())
+except OSError:
+    ORIGINAL_DIR = None
+
+#
+# Public functions
+#
+
+def current_process():
+    '''
+    Return process object representing the current process
+    '''
+    return _current_process
+
+def active_children():
+    '''
+    Return list of process objects corresponding to live child processes
+    '''
+    _cleanup()
+    return list(_children)
+
+
+def parent_process():
+    '''
+    Return process object representing the parent process
+    '''
+    return _parent_process
+
+#
+#
+#
+
+def _cleanup():
+    # check for processes which have finished
+    for p in list(_children):
+        if p._popen.poll() is not None:
+            _children.discard(p)
+
+#
+# The `Process` class
+#
+
+class BaseProcess(object):
+    '''
+    Process objects represent activity that is run in a separate process
+
+    The class is analogous to `threading.Thread`
+    '''
+    def _Popen(self):
+        raise NotImplementedError
+
+    def __init__(self, group=None, target=None, name=None, args=(), kwargs={},
+                 *, daemon=None):
+        assert group is None, 'group argument must be None for now'
+        count = next(_process_counter)
+        self._identity = _current_process._identity + (count,)
+        self._config = _current_process._config.copy()
+        self._parent_pid = os.getpid()
+        self._parent_name = _current_process.name
+        self._popen = None
+        self._closed = False
+        self._target = target
+        self._args = tuple(args)
+        self._kwargs = dict(kwargs)
+        self._name = name or type(self).__name__ + '-' + \
+                     ':'.join(str(i) for i in self._identity)
+        if daemon is not None:
+            self.daemon = daemon
+        _dangling.add(self)
+
+    def _check_closed(self):
+        if self._closed:
+            raise ValueError("process object is closed")
+
+    def run(self):
+        '''
+        Method to be run in sub-process; can be overridden in sub-class
+        '''
+        if self._target:
+            self._target(*self._args, **self._kwargs)
+
+    def start(self):
+        '''
+        Start child process
+        '''
+        self._check_closed()
+        assert self._popen is None, 'cannot start a process twice'
+        assert self._parent_pid == os.getpid(), \
+               'can only start a process object created by current process'
+        assert not _current_process._config.get('daemon'), \
+               'daemonic processes are not allowed to have children'
+        _cleanup()
+        self._popen = self._Popen(self)
+        self._sentinel = self._popen.sentinel
+        # Avoid a refcycle if the target function holds an indirect
+        # reference to the process object (see bpo-30775)
+        del self._target, self._args, self._kwargs
+        _children.add(self)
+
+    def terminate(self):
+        '''
+        Terminate process; sends SIGTERM signal or uses TerminateProcess()
+        '''
+        self._check_closed()
+        self._popen.terminate()
+
+    def kill(self):
+        '''
+        Terminate process; sends SIGKILL signal or uses TerminateProcess()
+        '''
+        self._check_closed()
+        self._popen.kill()
+
+    def join(self, timeout=None):
+        '''
+        Wait until child process terminates
+        '''
+        self._check_closed()
+        assert self._parent_pid == os.getpid(), 'can only join a child process'
+        assert self._popen is not None, 'can only join a started process'
+        res = self._popen.wait(timeout)
+        if res is not None:
+            _children.discard(self)
+
+    def is_alive(self):
+        '''
+        Return whether process is alive
+        '''
+        self._check_closed()
+        if self is _current_process:
+            return True
+        assert self._parent_pid == os.getpid(), 'can only test a child process'
+
+        if self._popen is None:
+            return False
+
+        returncode = self._popen.poll()
+        if returncode is None:
+            return True
+        else:
+            _children.discard(self)
+            return False
+
+    def close(self):
+        '''
+        Close the Process object.
+
+        This method releases resources held by the Process object.  It is
+        an error to call this method if the child process is still running.
+        '''
+        if self._popen is not None:
+            if self._popen.poll() is None:
+                raise ValueError("Cannot close a process while it is still running. "
+                                 "You should first call join() or terminate().")
+            self._popen.close()
+            self._popen = None
+            del self._sentinel
+            _children.discard(self)
+        self._closed = True
+
+    @property
+    def name(self):
+        return self._name
+
+    @name.setter
+    def name(self, name):
+        assert isinstance(name, str), 'name must be a string'
+        self._name = name
+
+    @property
+    def daemon(self):
+        '''
+        Return whether process is a daemon
+        '''
+        return self._config.get('daemon', False)
+
+    @daemon.setter
+    def daemon(self, daemonic):
+        '''
+        Set whether process is a daemon
+        '''
+        assert self._popen is None, 'process has already started'
+        self._config['daemon'] = daemonic
+
+    @property
+    def authkey(self):
+        return self._config['authkey']
+
+    @authkey.setter
+    def authkey(self, authkey):
+        '''
+        Set authorization key of process
+        '''
+        self._config['authkey'] = AuthenticationString(authkey)
+
+    @property
+    def exitcode(self):
+        '''
+        Return exit code of process or `None` if it has yet to stop
+        '''
+        self._check_closed()
+        if self._popen is None:
+            return self._popen
+        return self._popen.poll()
+
+    @property
+    def ident(self):
+        '''
+        Return identifier (PID) of process or `None` if it has yet to start
+        '''
+        self._check_closed()
+        if self is _current_process:
+            return os.getpid()
+        else:
+            return self._popen and self._popen.pid
+
+    pid = ident
+
+    @property
+    def sentinel(self):
+        '''
+        Return a file descriptor (Unix) or handle (Windows) suitable for
+        waiting for process termination.
+        '''
+        self._check_closed()
+        try:
+            return self._sentinel
+        except AttributeError:
+            raise ValueError("process not started") from None
+
+    def __repr__(self):
+        exitcode = None
+        if self is _current_process:
+            status = 'started'
+        elif self._closed:
+            status = 'closed'
+        elif self._parent_pid != os.getpid():
+            status = 'unknown'
+        elif self._popen is None:
+            status = 'initial'
+        else:
+            exitcode = self._popen.poll()
+            if exitcode is not None:
+                status = 'stopped'
+            else:
+                status = 'started'
+
+        info = [type(self).__name__, 'name=%r' % self._name]
+        if self._popen is not None:
+            info.append('pid=%s' % self._popen.pid)
+        info.append('parent=%s' % self._parent_pid)
+        info.append(status)
+        if exitcode is not None:
+            exitcode = _exitcode_to_name.get(exitcode, exitcode)
+            info.append('exitcode=%s' % exitcode)
+        if self.daemon:
+            info.append('daemon')
+        return '<%s>' % ' '.join(info)
+
+    ##
+
+    def _bootstrap(self, parent_sentinel=None):
+        from . import util, context
+        global _current_process, _parent_process, _process_counter, _children
+
+        try:
+            if self._start_method is not None:
+                context._force_start_method(self._start_method)
+            _process_counter = itertools.count(1)
+            _children = set()
+            util._close_stdin()
+            old_process = _current_process
+            _current_process = self
+            _parent_process = _ParentProcess(
+                self._parent_name, self._parent_pid, parent_sentinel)
+            if threading._HAVE_THREAD_NATIVE_ID:
+                threading.main_thread()._set_native_id()
+            try:
+                self._after_fork()
+            finally:
+                # delay finalization of the old process object until after
+                # _run_after_forkers() is executed
+                del old_process
+            util.info('child process calling self.run()')
+            try:
+                self.run()
+                exitcode = 0
+            finally:
+                util._exit_function()
+        except SystemExit as e:
+            if e.code is None:
+                exitcode = 0
+            elif isinstance(e.code, int):
+                exitcode = e.code
+            else:
+                sys.stderr.write(str(e.code) + '\n')
+                exitcode = 1
+        except:
+            exitcode = 1
+            import traceback
+            sys.stderr.write('Process %s:\n' % self.name)
+            traceback.print_exc()
+        finally:
+            threading._shutdown()
+            util.info('process exiting with exitcode %d' % exitcode)
+            util._flush_std_streams()
+
+        return exitcode
+
+    @staticmethod
+    def _after_fork():
+        from . import util
+        util._finalizer_registry.clear()
+        util._run_after_forkers()
+
+
+#
+# We subclass bytes to avoid accidental transmission of auth keys over network
+#
+
+class AuthenticationString(bytes):
+    def __reduce__(self):
+        from .context import get_spawning_popen
+        if get_spawning_popen() is None:
+            raise TypeError(
+                'Pickling an AuthenticationString object is '
+                'disallowed for security reasons'
+                )
+        return AuthenticationString, (bytes(self),)
+
+
+#
+# Create object representing the parent process
+#
+
+class _ParentProcess(BaseProcess):
+
+    def __init__(self, name, pid, sentinel):
+        self._identity = ()
+        self._name = name
+        self._pid = pid
+        self._parent_pid = None
+        self._popen = None
+        self._closed = False
+        self._sentinel = sentinel
+        self._config = {}
+
+    def is_alive(self):
+        from multiprocessing.connection import wait
+        return not wait([self._sentinel], timeout=0)
+
+    @property
+    def ident(self):
+        return self._pid
+
+    def join(self, timeout=None):
+        '''
+        Wait until parent process terminates
+        '''
+        from multiprocessing.connection import wait
+        wait([self._sentinel], timeout=timeout)
+
+    pid = ident
+
+#
+# Create object representing the main process
+#
+
+class _MainProcess(BaseProcess):
+
+    def __init__(self):
+        self._identity = ()
+        self._name = 'MainProcess'
+        self._parent_pid = None
+        self._popen = None
+        self._closed = False
+        self._config = {'authkey': AuthenticationString(os.urandom(32)),
+                        'semprefix': '/mp'}
+        # Note that some versions of FreeBSD only allow named
+        # semaphores to have names of up to 14 characters.  Therefore
+        # we choose a short prefix.
+        #
+        # On MacOSX in a sandbox it may be necessary to use a
+        # different prefix -- see #19478.
+        #
+        # Everything in self._config will be inherited by descendant
+        # processes.
+
+    def close(self):
+        pass
+
+
+_parent_process = None
+_current_process = _MainProcess()
+_process_counter = itertools.count(1)
+_children = set()
+del _MainProcess
+
+#
+# Give names to some return codes
+#
+
+_exitcode_to_name = {}
+
+for name, signum in list(signal.__dict__.items()):
+    if name[:3]=='SIG' and '_' not in name:
+        _exitcode_to_name[-signum] = f'-{name}'
+
+# For debug and leak testing
+_dangling = WeakSet()
diff --git a/llava/lib/python3.10/multiprocessing/queues.py b/llava/lib/python3.10/multiprocessing/queues.py
new file mode 100644
index 0000000000000000000000000000000000000000..f37f114a968871ba367ac33d5f0b109da8869834
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/queues.py
@@ -0,0 +1,379 @@
+#
+# Module implementing queues
+#
+# multiprocessing/queues.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+__all__ = ['Queue', 'SimpleQueue', 'JoinableQueue']
+
+import sys
+import os
+import threading
+import collections
+import time
+import types
+import weakref
+import errno
+
+from queue import Empty, Full
+
+import _multiprocessing
+
+from . import connection
+from . import context
+_ForkingPickler = context.reduction.ForkingPickler
+
+from .util import debug, info, Finalize, register_after_fork, is_exiting
+
+#
+# Queue type using a pipe, buffer and thread
+#
+
+class Queue(object):
+
+    def __init__(self, maxsize=0, *, ctx):
+        if maxsize <= 0:
+            # Can raise ImportError (see issues #3770 and #23400)
+            from .synchronize import SEM_VALUE_MAX as maxsize
+        self._maxsize = maxsize
+        self._reader, self._writer = connection.Pipe(duplex=False)
+        self._rlock = ctx.Lock()
+        self._opid = os.getpid()
+        if sys.platform == 'win32':
+            self._wlock = None
+        else:
+            self._wlock = ctx.Lock()
+        self._sem = ctx.BoundedSemaphore(maxsize)
+        # For use by concurrent.futures
+        self._ignore_epipe = False
+        self._reset()
+
+        if sys.platform != 'win32':
+            register_after_fork(self, Queue._after_fork)
+
+    def __getstate__(self):
+        context.assert_spawning(self)
+        return (self._ignore_epipe, self._maxsize, self._reader, self._writer,
+                self._rlock, self._wlock, self._sem, self._opid)
+
+    def __setstate__(self, state):
+        (self._ignore_epipe, self._maxsize, self._reader, self._writer,
+         self._rlock, self._wlock, self._sem, self._opid) = state
+        self._reset()
+
+    def _after_fork(self):
+        debug('Queue._after_fork()')
+        self._reset(after_fork=True)
+
+    def _reset(self, after_fork=False):
+        if after_fork:
+            self._notempty._at_fork_reinit()
+        else:
+            self._notempty = threading.Condition(threading.Lock())
+        self._buffer = collections.deque()
+        self._thread = None
+        self._jointhread = None
+        self._joincancelled = False
+        self._closed = False
+        self._close = None
+        self._send_bytes = self._writer.send_bytes
+        self._recv_bytes = self._reader.recv_bytes
+        self._poll = self._reader.poll
+
+    def put(self, obj, block=True, timeout=None):
+        if self._closed:
+            raise ValueError(f"Queue {self!r} is closed")
+        if not self._sem.acquire(block, timeout):
+            raise Full
+
+        with self._notempty:
+            if self._thread is None:
+                self._start_thread()
+            self._buffer.append(obj)
+            self._notempty.notify()
+
+    def get(self, block=True, timeout=None):
+        if self._closed:
+            raise ValueError(f"Queue {self!r} is closed")
+        if block and timeout is None:
+            with self._rlock:
+                res = self._recv_bytes()
+            self._sem.release()
+        else:
+            if block:
+                deadline = time.monotonic() + timeout
+            if not self._rlock.acquire(block, timeout):
+                raise Empty
+            try:
+                if block:
+                    timeout = deadline - time.monotonic()
+                    if not self._poll(timeout):
+                        raise Empty
+                elif not self._poll():
+                    raise Empty
+                res = self._recv_bytes()
+                self._sem.release()
+            finally:
+                self._rlock.release()
+        # unserialize the data after having released the lock
+        return _ForkingPickler.loads(res)
+
+    def qsize(self):
+        # Raises NotImplementedError on Mac OSX because of broken sem_getvalue()
+        return self._maxsize - self._sem._semlock._get_value()
+
+    def empty(self):
+        return not self._poll()
+
+    def full(self):
+        return self._sem._semlock._is_zero()
+
+    def get_nowait(self):
+        return self.get(False)
+
+    def put_nowait(self, obj):
+        return self.put(obj, False)
+
+    def close(self):
+        self._closed = True
+        close = self._close
+        if close:
+            self._close = None
+            close()
+
+    def join_thread(self):
+        debug('Queue.join_thread()')
+        assert self._closed, "Queue {0!r} not closed".format(self)
+        if self._jointhread:
+            self._jointhread()
+
+    def cancel_join_thread(self):
+        debug('Queue.cancel_join_thread()')
+        self._joincancelled = True
+        try:
+            self._jointhread.cancel()
+        except AttributeError:
+            pass
+
+    def _start_thread(self):
+        debug('Queue._start_thread()')
+
+        # Start thread which transfers data from buffer to pipe
+        self._buffer.clear()
+        self._thread = threading.Thread(
+            target=Queue._feed,
+            args=(self._buffer, self._notempty, self._send_bytes,
+                  self._wlock, self._reader.close, self._writer.close,
+                  self._ignore_epipe, self._on_queue_feeder_error,
+                  self._sem),
+            name='QueueFeederThread'
+        )
+        self._thread.daemon = True
+
+        debug('doing self._thread.start()')
+        self._thread.start()
+        debug('... done self._thread.start()')
+
+        if not self._joincancelled:
+            self._jointhread = Finalize(
+                self._thread, Queue._finalize_join,
+                [weakref.ref(self._thread)],
+                exitpriority=-5
+                )
+
+        # Send sentinel to the thread queue object when garbage collected
+        self._close = Finalize(
+            self, Queue._finalize_close,
+            [self._buffer, self._notempty],
+            exitpriority=10
+            )
+
+    @staticmethod
+    def _finalize_join(twr):
+        debug('joining queue thread')
+        thread = twr()
+        if thread is not None:
+            thread.join()
+            debug('... queue thread joined')
+        else:
+            debug('... queue thread already dead')
+
+    @staticmethod
+    def _finalize_close(buffer, notempty):
+        debug('telling queue thread to quit')
+        with notempty:
+            buffer.append(_sentinel)
+            notempty.notify()
+
+    @staticmethod
+    def _feed(buffer, notempty, send_bytes, writelock, reader_close,
+              writer_close, ignore_epipe, onerror, queue_sem):
+        debug('starting thread to feed data to pipe')
+        nacquire = notempty.acquire
+        nrelease = notempty.release
+        nwait = notempty.wait
+        bpopleft = buffer.popleft
+        sentinel = _sentinel
+        if sys.platform != 'win32':
+            wacquire = writelock.acquire
+            wrelease = writelock.release
+        else:
+            wacquire = None
+
+        while 1:
+            try:
+                nacquire()
+                try:
+                    if not buffer:
+                        nwait()
+                finally:
+                    nrelease()
+                try:
+                    while 1:
+                        obj = bpopleft()
+                        if obj is sentinel:
+                            debug('feeder thread got sentinel -- exiting')
+                            reader_close()
+                            writer_close()
+                            return
+
+                        # serialize the data before acquiring the lock
+                        obj = _ForkingPickler.dumps(obj)
+                        if wacquire is None:
+                            send_bytes(obj)
+                        else:
+                            wacquire()
+                            try:
+                                send_bytes(obj)
+                            finally:
+                                wrelease()
+                except IndexError:
+                    pass
+            except Exception as e:
+                if ignore_epipe and getattr(e, 'errno', 0) == errno.EPIPE:
+                    return
+                # Since this runs in a daemon thread the resources it uses
+                # may be become unusable while the process is cleaning up.
+                # We ignore errors which happen after the process has
+                # started to cleanup.
+                if is_exiting():
+                    info('error in queue thread: %s', e)
+                    return
+                else:
+                    # Since the object has not been sent in the queue, we need
+                    # to decrease the size of the queue. The error acts as
+                    # if the object had been silently removed from the queue
+                    # and this step is necessary to have a properly working
+                    # queue.
+                    queue_sem.release()
+                    onerror(e, obj)
+
+    @staticmethod
+    def _on_queue_feeder_error(e, obj):
+        """
+        Private API hook called when feeding data in the background thread
+        raises an exception.  For overriding by concurrent.futures.
+        """
+        import traceback
+        traceback.print_exc()
+
+
+_sentinel = object()
+
+#
+# A queue type which also supports join() and task_done() methods
+#
+# Note that if you do not call task_done() for each finished task then
+# eventually the counter's semaphore may overflow causing Bad Things
+# to happen.
+#
+
+class JoinableQueue(Queue):
+
+    def __init__(self, maxsize=0, *, ctx):
+        Queue.__init__(self, maxsize, ctx=ctx)
+        self._unfinished_tasks = ctx.Semaphore(0)
+        self._cond = ctx.Condition()
+
+    def __getstate__(self):
+        return Queue.__getstate__(self) + (self._cond, self._unfinished_tasks)
+
+    def __setstate__(self, state):
+        Queue.__setstate__(self, state[:-2])
+        self._cond, self._unfinished_tasks = state[-2:]
+
+    def put(self, obj, block=True, timeout=None):
+        if self._closed:
+            raise ValueError(f"Queue {self!r} is closed")
+        if not self._sem.acquire(block, timeout):
+            raise Full
+
+        with self._notempty, self._cond:
+            if self._thread is None:
+                self._start_thread()
+            self._buffer.append(obj)
+            self._unfinished_tasks.release()
+            self._notempty.notify()
+
+    def task_done(self):
+        with self._cond:
+            if not self._unfinished_tasks.acquire(False):
+                raise ValueError('task_done() called too many times')
+            if self._unfinished_tasks._semlock._is_zero():
+                self._cond.notify_all()
+
+    def join(self):
+        with self._cond:
+            if not self._unfinished_tasks._semlock._is_zero():
+                self._cond.wait()
+
+#
+# Simplified Queue type -- really just a locked pipe
+#
+
+class SimpleQueue(object):
+
+    def __init__(self, *, ctx):
+        self._reader, self._writer = connection.Pipe(duplex=False)
+        self._rlock = ctx.Lock()
+        self._poll = self._reader.poll
+        if sys.platform == 'win32':
+            self._wlock = None
+        else:
+            self._wlock = ctx.Lock()
+
+    def close(self):
+        self._reader.close()
+        self._writer.close()
+
+    def empty(self):
+        return not self._poll()
+
+    def __getstate__(self):
+        context.assert_spawning(self)
+        return (self._reader, self._writer, self._rlock, self._wlock)
+
+    def __setstate__(self, state):
+        (self._reader, self._writer, self._rlock, self._wlock) = state
+        self._poll = self._reader.poll
+
+    def get(self):
+        with self._rlock:
+            res = self._reader.recv_bytes()
+        # unserialize the data after having released the lock
+        return _ForkingPickler.loads(res)
+
+    def put(self, obj):
+        # serialize the data before acquiring the lock
+        obj = _ForkingPickler.dumps(obj)
+        if self._wlock is None:
+            # writes to a message oriented win32 pipe are atomic
+            self._writer.send_bytes(obj)
+        else:
+            with self._wlock:
+                self._writer.send_bytes(obj)
+
+    __class_getitem__ = classmethod(types.GenericAlias)
diff --git a/llava/lib/python3.10/multiprocessing/resource_tracker.py b/llava/lib/python3.10/multiprocessing/resource_tracker.py
new file mode 100644
index 0000000000000000000000000000000000000000..ea369507297f86ca97ff289712da340a3b51fdf3
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/resource_tracker.py
@@ -0,0 +1,239 @@
+###############################################################################
+# Server process to keep track of unlinked resources (like shared memory
+# segments, semaphores etc.) and clean them.
+#
+# On Unix we run a server process which keeps track of unlinked
+# resources. The server ignores SIGINT and SIGTERM and reads from a
+# pipe.  Every other process of the program has a copy of the writable
+# end of the pipe, so we get EOF when all other processes have exited.
+# Then the server process unlinks any remaining resource names.
+#
+# This is important because there may be system limits for such resources: for
+# instance, the system only supports a limited number of named semaphores, and
+# shared-memory segments live in the RAM. If a python process leaks such a
+# resource, this resource will not be removed till the next reboot.  Without
+# this resource tracker process, "killall python" would probably leave unlinked
+# resources.
+
+import os
+import signal
+import sys
+import threading
+import warnings
+
+from . import spawn
+from . import util
+
+__all__ = ['ensure_running', 'register', 'unregister']
+
+_HAVE_SIGMASK = hasattr(signal, 'pthread_sigmask')
+_IGNORED_SIGNALS = (signal.SIGINT, signal.SIGTERM)
+
+_CLEANUP_FUNCS = {
+    'noop': lambda: None,
+}
+
+if os.name == 'posix':
+    import _multiprocessing
+    import _posixshmem
+
+    # Use sem_unlink() to clean up named semaphores.
+    #
+    # sem_unlink() may be missing if the Python build process detected the
+    # absence of POSIX named semaphores. In that case, no named semaphores were
+    # ever opened, so no cleanup would be necessary.
+    if hasattr(_multiprocessing, 'sem_unlink'):
+        _CLEANUP_FUNCS.update({
+            'semaphore': _multiprocessing.sem_unlink,
+        })
+    _CLEANUP_FUNCS.update({
+        'shared_memory': _posixshmem.shm_unlink,
+    })
+
+
+class ResourceTracker(object):
+
+    def __init__(self):
+        self._lock = threading.Lock()
+        self._fd = None
+        self._pid = None
+
+    def _stop(self):
+        with self._lock:
+            if self._fd is None:
+                # not running
+                return
+
+            # closing the "alive" file descriptor stops main()
+            os.close(self._fd)
+            self._fd = None
+
+            os.waitpid(self._pid, 0)
+            self._pid = None
+
+    def getfd(self):
+        self.ensure_running()
+        return self._fd
+
+    def ensure_running(self):
+        '''Make sure that resource tracker process is running.
+
+        This can be run from any process.  Usually a child process will use
+        the resource created by its parent.'''
+        with self._lock:
+            if self._fd is not None:
+                # resource tracker was launched before, is it still running?
+                if self._check_alive():
+                    # => still alive
+                    return
+                # => dead, launch it again
+                os.close(self._fd)
+
+                # Clean-up to avoid dangling processes.
+                try:
+                    # _pid can be None if this process is a child from another
+                    # python process, which has started the resource_tracker.
+                    if self._pid is not None:
+                        os.waitpid(self._pid, 0)
+                except ChildProcessError:
+                    # The resource_tracker has already been terminated.
+                    pass
+                self._fd = None
+                self._pid = None
+
+                warnings.warn('resource_tracker: process died unexpectedly, '
+                              'relaunching.  Some resources might leak.')
+
+            fds_to_pass = []
+            try:
+                fds_to_pass.append(sys.stderr.fileno())
+            except Exception:
+                pass
+            cmd = 'from multiprocessing.resource_tracker import main;main(%d)'
+            r, w = os.pipe()
+            try:
+                fds_to_pass.append(r)
+                # process will out live us, so no need to wait on pid
+                exe = spawn.get_executable()
+                args = [exe] + util._args_from_interpreter_flags()
+                args += ['-c', cmd % r]
+                # bpo-33613: Register a signal mask that will block the signals.
+                # This signal mask will be inherited by the child that is going
+                # to be spawned and will protect the child from a race condition
+                # that can make the child die before it registers signal handlers
+                # for SIGINT and SIGTERM. The mask is unregistered after spawning
+                # the child.
+                try:
+                    if _HAVE_SIGMASK:
+                        signal.pthread_sigmask(signal.SIG_BLOCK, _IGNORED_SIGNALS)
+                    pid = util.spawnv_passfds(exe, args, fds_to_pass)
+                finally:
+                    if _HAVE_SIGMASK:
+                        signal.pthread_sigmask(signal.SIG_UNBLOCK, _IGNORED_SIGNALS)
+            except:
+                os.close(w)
+                raise
+            else:
+                self._fd = w
+                self._pid = pid
+            finally:
+                os.close(r)
+
+    def _check_alive(self):
+        '''Check that the pipe has not been closed by sending a probe.'''
+        try:
+            # We cannot use send here as it calls ensure_running, creating
+            # a cycle.
+            os.write(self._fd, b'PROBE:0:noop\n')
+        except OSError:
+            return False
+        else:
+            return True
+
+    def register(self, name, rtype):
+        '''Register name of resource with resource tracker.'''
+        self._send('REGISTER', name, rtype)
+
+    def unregister(self, name, rtype):
+        '''Unregister name of resource with resource tracker.'''
+        self._send('UNREGISTER', name, rtype)
+
+    def _send(self, cmd, name, rtype):
+        self.ensure_running()
+        msg = '{0}:{1}:{2}\n'.format(cmd, name, rtype).encode('ascii')
+        if len(msg) > 512:
+            # posix guarantees that writes to a pipe of less than PIPE_BUF
+            # bytes are atomic, and that PIPE_BUF >= 512
+            raise ValueError('msg too long')
+        nbytes = os.write(self._fd, msg)
+        assert nbytes == len(msg), "nbytes {0:n} but len(msg) {1:n}".format(
+            nbytes, len(msg))
+
+
+_resource_tracker = ResourceTracker()
+ensure_running = _resource_tracker.ensure_running
+register = _resource_tracker.register
+unregister = _resource_tracker.unregister
+getfd = _resource_tracker.getfd
+
+def main(fd):
+    '''Run resource tracker.'''
+    # protect the process from ^C and "killall python" etc
+    signal.signal(signal.SIGINT, signal.SIG_IGN)
+    signal.signal(signal.SIGTERM, signal.SIG_IGN)
+    if _HAVE_SIGMASK:
+        signal.pthread_sigmask(signal.SIG_UNBLOCK, _IGNORED_SIGNALS)
+
+    for f in (sys.stdin, sys.stdout):
+        try:
+            f.close()
+        except Exception:
+            pass
+
+    cache = {rtype: set() for rtype in _CLEANUP_FUNCS.keys()}
+    try:
+        # keep track of registered/unregistered resources
+        with open(fd, 'rb') as f:
+            for line in f:
+                try:
+                    cmd, name, rtype = line.strip().decode('ascii').split(':')
+                    cleanup_func = _CLEANUP_FUNCS.get(rtype, None)
+                    if cleanup_func is None:
+                        raise ValueError(
+                            f'Cannot register {name} for automatic cleanup: '
+                            f'unknown resource type {rtype}')
+
+                    if cmd == 'REGISTER':
+                        cache[rtype].add(name)
+                    elif cmd == 'UNREGISTER':
+                        cache[rtype].remove(name)
+                    elif cmd == 'PROBE':
+                        pass
+                    else:
+                        raise RuntimeError('unrecognized command %r' % cmd)
+                except Exception:
+                    try:
+                        sys.excepthook(*sys.exc_info())
+                    except:
+                        pass
+    finally:
+        # all processes have terminated; cleanup any remaining resources
+        for rtype, rtype_cache in cache.items():
+            if rtype_cache:
+                try:
+                    warnings.warn('resource_tracker: There appear to be %d '
+                                  'leaked %s objects to clean up at shutdown' %
+                                  (len(rtype_cache), rtype))
+                except Exception:
+                    pass
+            for name in rtype_cache:
+                # For some reason the process which created and registered this
+                # resource has failed to unregister it. Presumably it has
+                # died.  We therefore unlink it.
+                try:
+                    try:
+                        _CLEANUP_FUNCS[rtype](name)
+                    except Exception as e:
+                        warnings.warn('resource_tracker: %r: %s' % (name, e))
+                finally:
+                    pass
diff --git a/llava/lib/python3.10/multiprocessing/sharedctypes.py b/llava/lib/python3.10/multiprocessing/sharedctypes.py
new file mode 100644
index 0000000000000000000000000000000000000000..6071707027bea46dccfc4d92fb3195060faf07ce
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/sharedctypes.py
@@ -0,0 +1,240 @@
+#
+# Module which supports allocation of ctypes objects from shared memory
+#
+# multiprocessing/sharedctypes.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+import ctypes
+import weakref
+
+from . import heap
+from . import get_context
+
+from .context import reduction, assert_spawning
+_ForkingPickler = reduction.ForkingPickler
+
+__all__ = ['RawValue', 'RawArray', 'Value', 'Array', 'copy', 'synchronized']
+
+#
+#
+#
+
+typecode_to_type = {
+    'c': ctypes.c_char,     'u': ctypes.c_wchar,
+    'b': ctypes.c_byte,     'B': ctypes.c_ubyte,
+    'h': ctypes.c_short,    'H': ctypes.c_ushort,
+    'i': ctypes.c_int,      'I': ctypes.c_uint,
+    'l': ctypes.c_long,     'L': ctypes.c_ulong,
+    'q': ctypes.c_longlong, 'Q': ctypes.c_ulonglong,
+    'f': ctypes.c_float,    'd': ctypes.c_double
+    }
+
+#
+#
+#
+
+def _new_value(type_):
+    size = ctypes.sizeof(type_)
+    wrapper = heap.BufferWrapper(size)
+    return rebuild_ctype(type_, wrapper, None)
+
+def RawValue(typecode_or_type, *args):
+    '''
+    Returns a ctypes object allocated from shared memory
+    '''
+    type_ = typecode_to_type.get(typecode_or_type, typecode_or_type)
+    obj = _new_value(type_)
+    ctypes.memset(ctypes.addressof(obj), 0, ctypes.sizeof(obj))
+    obj.__init__(*args)
+    return obj
+
+def RawArray(typecode_or_type, size_or_initializer):
+    '''
+    Returns a ctypes array allocated from shared memory
+    '''
+    type_ = typecode_to_type.get(typecode_or_type, typecode_or_type)
+    if isinstance(size_or_initializer, int):
+        type_ = type_ * size_or_initializer
+        obj = _new_value(type_)
+        ctypes.memset(ctypes.addressof(obj), 0, ctypes.sizeof(obj))
+        return obj
+    else:
+        type_ = type_ * len(size_or_initializer)
+        result = _new_value(type_)
+        result.__init__(*size_or_initializer)
+        return result
+
+def Value(typecode_or_type, *args, lock=True, ctx=None):
+    '''
+    Return a synchronization wrapper for a Value
+    '''
+    obj = RawValue(typecode_or_type, *args)
+    if lock is False:
+        return obj
+    if lock in (True, None):
+        ctx = ctx or get_context()
+        lock = ctx.RLock()
+    if not hasattr(lock, 'acquire'):
+        raise AttributeError("%r has no method 'acquire'" % lock)
+    return synchronized(obj, lock, ctx=ctx)
+
+def Array(typecode_or_type, size_or_initializer, *, lock=True, ctx=None):
+    '''
+    Return a synchronization wrapper for a RawArray
+    '''
+    obj = RawArray(typecode_or_type, size_or_initializer)
+    if lock is False:
+        return obj
+    if lock in (True, None):
+        ctx = ctx or get_context()
+        lock = ctx.RLock()
+    if not hasattr(lock, 'acquire'):
+        raise AttributeError("%r has no method 'acquire'" % lock)
+    return synchronized(obj, lock, ctx=ctx)
+
+def copy(obj):
+    new_obj = _new_value(type(obj))
+    ctypes.pointer(new_obj)[0] = obj
+    return new_obj
+
+def synchronized(obj, lock=None, ctx=None):
+    assert not isinstance(obj, SynchronizedBase), 'object already synchronized'
+    ctx = ctx or get_context()
+
+    if isinstance(obj, ctypes._SimpleCData):
+        return Synchronized(obj, lock, ctx)
+    elif isinstance(obj, ctypes.Array):
+        if obj._type_ is ctypes.c_char:
+            return SynchronizedString(obj, lock, ctx)
+        return SynchronizedArray(obj, lock, ctx)
+    else:
+        cls = type(obj)
+        try:
+            scls = class_cache[cls]
+        except KeyError:
+            names = [field[0] for field in cls._fields_]
+            d = {name: make_property(name) for name in names}
+            classname = 'Synchronized' + cls.__name__
+            scls = class_cache[cls] = type(classname, (SynchronizedBase,), d)
+        return scls(obj, lock, ctx)
+
+#
+# Functions for pickling/unpickling
+#
+
+def reduce_ctype(obj):
+    assert_spawning(obj)
+    if isinstance(obj, ctypes.Array):
+        return rebuild_ctype, (obj._type_, obj._wrapper, obj._length_)
+    else:
+        return rebuild_ctype, (type(obj), obj._wrapper, None)
+
+def rebuild_ctype(type_, wrapper, length):
+    if length is not None:
+        type_ = type_ * length
+    _ForkingPickler.register(type_, reduce_ctype)
+    buf = wrapper.create_memoryview()
+    obj = type_.from_buffer(buf)
+    obj._wrapper = wrapper
+    return obj
+
+#
+# Function to create properties
+#
+
+def make_property(name):
+    try:
+        return prop_cache[name]
+    except KeyError:
+        d = {}
+        exec(template % ((name,)*7), d)
+        prop_cache[name] = d[name]
+        return d[name]
+
+template = '''
+def get%s(self):
+    self.acquire()
+    try:
+        return self._obj.%s
+    finally:
+        self.release()
+def set%s(self, value):
+    self.acquire()
+    try:
+        self._obj.%s = value
+    finally:
+        self.release()
+%s = property(get%s, set%s)
+'''
+
+prop_cache = {}
+class_cache = weakref.WeakKeyDictionary()
+
+#
+# Synchronized wrappers
+#
+
+class SynchronizedBase(object):
+
+    def __init__(self, obj, lock=None, ctx=None):
+        self._obj = obj
+        if lock:
+            self._lock = lock
+        else:
+            ctx = ctx or get_context(force=True)
+            self._lock = ctx.RLock()
+        self.acquire = self._lock.acquire
+        self.release = self._lock.release
+
+    def __enter__(self):
+        return self._lock.__enter__()
+
+    def __exit__(self, *args):
+        return self._lock.__exit__(*args)
+
+    def __reduce__(self):
+        assert_spawning(self)
+        return synchronized, (self._obj, self._lock)
+
+    def get_obj(self):
+        return self._obj
+
+    def get_lock(self):
+        return self._lock
+
+    def __repr__(self):
+        return '<%s wrapper for %s>' % (type(self).__name__, self._obj)
+
+
+class Synchronized(SynchronizedBase):
+    value = make_property('value')
+
+
+class SynchronizedArray(SynchronizedBase):
+
+    def __len__(self):
+        return len(self._obj)
+
+    def __getitem__(self, i):
+        with self:
+            return self._obj[i]
+
+    def __setitem__(self, i, value):
+        with self:
+            self._obj[i] = value
+
+    def __getslice__(self, start, stop):
+        with self:
+            return self._obj[start:stop]
+
+    def __setslice__(self, start, stop, values):
+        with self:
+            self._obj[start:stop] = values
+
+
+class SynchronizedString(SynchronizedArray):
+    value = make_property('value')
+    raw = make_property('raw')
diff --git a/llava/lib/python3.10/multiprocessing/spawn.py b/llava/lib/python3.10/multiprocessing/spawn.py
new file mode 100644
index 0000000000000000000000000000000000000000..7cc129e2610761f3868523030ea4fa60ec9d844b
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/spawn.py
@@ -0,0 +1,297 @@
+#
+# Code used to start processes when using the spawn or forkserver
+# start methods.
+#
+# multiprocessing/spawn.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+import os
+import sys
+import runpy
+import types
+
+from . import get_start_method, set_start_method
+from . import process
+from .context import reduction
+from . import util
+
+__all__ = ['_main', 'freeze_support', 'set_executable', 'get_executable',
+           'get_preparation_data', 'get_command_line', 'import_main_path']
+
+#
+# _python_exe is the assumed path to the python executable.
+# People embedding Python want to modify it.
+#
+
+if sys.platform != 'win32':
+    WINEXE = False
+    WINSERVICE = False
+else:
+    WINEXE = getattr(sys, 'frozen', False)
+    WINSERVICE = sys.executable.lower().endswith("pythonservice.exe")
+
+if WINSERVICE:
+    _python_exe = os.path.join(sys.exec_prefix, 'python.exe')
+else:
+    _python_exe = sys.executable
+
+def set_executable(exe):
+    global _python_exe
+    _python_exe = exe
+
+def get_executable():
+    return _python_exe
+
+#
+#
+#
+
+def is_forking(argv):
+    '''
+    Return whether commandline indicates we are forking
+    '''
+    if len(argv) >= 2 and argv[1] == '--multiprocessing-fork':
+        return True
+    else:
+        return False
+
+
+def freeze_support():
+    '''
+    Run code for process object if this in not the main process
+    '''
+    if is_forking(sys.argv):
+        kwds = {}
+        for arg in sys.argv[2:]:
+            name, value = arg.split('=')
+            if value == 'None':
+                kwds[name] = None
+            else:
+                kwds[name] = int(value)
+        spawn_main(**kwds)
+        sys.exit()
+
+
+def get_command_line(**kwds):
+    '''
+    Returns prefix of command line used for spawning a child process
+    '''
+    if getattr(sys, 'frozen', False):
+        return ([sys.executable, '--multiprocessing-fork'] +
+                ['%s=%r' % item for item in kwds.items()])
+    else:
+        prog = 'from multiprocessing.spawn import spawn_main; spawn_main(%s)'
+        prog %= ', '.join('%s=%r' % item for item in kwds.items())
+        opts = util._args_from_interpreter_flags()
+        return [_python_exe] + opts + ['-c', prog, '--multiprocessing-fork']
+
+
+def spawn_main(pipe_handle, parent_pid=None, tracker_fd=None):
+    '''
+    Run code specified by data received over pipe
+    '''
+    assert is_forking(sys.argv), "Not forking"
+    if sys.platform == 'win32':
+        import msvcrt
+        import _winapi
+
+        if parent_pid is not None:
+            source_process = _winapi.OpenProcess(
+                _winapi.SYNCHRONIZE | _winapi.PROCESS_DUP_HANDLE,
+                False, parent_pid)
+        else:
+            source_process = None
+        new_handle = reduction.duplicate(pipe_handle,
+                                         source_process=source_process)
+        fd = msvcrt.open_osfhandle(new_handle, os.O_RDONLY)
+        parent_sentinel = source_process
+    else:
+        from . import resource_tracker
+        resource_tracker._resource_tracker._fd = tracker_fd
+        fd = pipe_handle
+        parent_sentinel = os.dup(pipe_handle)
+    exitcode = _main(fd, parent_sentinel)
+    sys.exit(exitcode)
+
+
+def _main(fd, parent_sentinel):
+    with os.fdopen(fd, 'rb', closefd=True) as from_parent:
+        process.current_process()._inheriting = True
+        try:
+            preparation_data = reduction.pickle.load(from_parent)
+            prepare(preparation_data)
+            self = reduction.pickle.load(from_parent)
+        finally:
+            del process.current_process()._inheriting
+    return self._bootstrap(parent_sentinel)
+
+
+def _check_not_importing_main():
+    if getattr(process.current_process(), '_inheriting', False):
+        raise RuntimeError('''
+        An attempt has been made to start a new process before the
+        current process has finished its bootstrapping phase.
+
+        This probably means that you are not using fork to start your
+        child processes and you have forgotten to use the proper idiom
+        in the main module:
+
+            if __name__ == '__main__':
+                freeze_support()
+                ...
+
+        The "freeze_support()" line can be omitted if the program
+        is not going to be frozen to produce an executable.''')
+
+
+def get_preparation_data(name):
+    '''
+    Return info about parent needed by child to unpickle process object
+    '''
+    _check_not_importing_main()
+    d = dict(
+        log_to_stderr=util._log_to_stderr,
+        authkey=process.current_process().authkey,
+        )
+
+    if util._logger is not None:
+        d['log_level'] = util._logger.getEffectiveLevel()
+
+    sys_path=sys.path.copy()
+    try:
+        i = sys_path.index('')
+    except ValueError:
+        pass
+    else:
+        sys_path[i] = process.ORIGINAL_DIR
+
+    d.update(
+        name=name,
+        sys_path=sys_path,
+        sys_argv=sys.argv,
+        orig_dir=process.ORIGINAL_DIR,
+        dir=os.getcwd(),
+        start_method=get_start_method(),
+        )
+
+    # Figure out whether to initialise main in the subprocess as a module
+    # or through direct execution (or to leave it alone entirely)
+    main_module = sys.modules['__main__']
+    main_mod_name = getattr(main_module.__spec__, "name", None)
+    if main_mod_name is not None:
+        d['init_main_from_name'] = main_mod_name
+    elif sys.platform != 'win32' or (not WINEXE and not WINSERVICE):
+        main_path = getattr(main_module, '__file__', None)
+        if main_path is not None:
+            if (not os.path.isabs(main_path) and
+                        process.ORIGINAL_DIR is not None):
+                main_path = os.path.join(process.ORIGINAL_DIR, main_path)
+            d['init_main_from_path'] = os.path.normpath(main_path)
+
+    return d
+
+#
+# Prepare current process
+#
+
+old_main_modules = []
+
+def prepare(data):
+    '''
+    Try to get current process ready to unpickle process object
+    '''
+    if 'name' in data:
+        process.current_process().name = data['name']
+
+    if 'authkey' in data:
+        process.current_process().authkey = data['authkey']
+
+    if 'log_to_stderr' in data and data['log_to_stderr']:
+        util.log_to_stderr()
+
+    if 'log_level' in data:
+        util.get_logger().setLevel(data['log_level'])
+
+    if 'sys_path' in data:
+        sys.path = data['sys_path']
+
+    if 'sys_argv' in data:
+        sys.argv = data['sys_argv']
+
+    if 'dir' in data:
+        os.chdir(data['dir'])
+
+    if 'orig_dir' in data:
+        process.ORIGINAL_DIR = data['orig_dir']
+
+    if 'start_method' in data:
+        set_start_method(data['start_method'], force=True)
+
+    if 'init_main_from_name' in data:
+        _fixup_main_from_name(data['init_main_from_name'])
+    elif 'init_main_from_path' in data:
+        _fixup_main_from_path(data['init_main_from_path'])
+
+# Multiprocessing module helpers to fix up the main module in
+# spawned subprocesses
+def _fixup_main_from_name(mod_name):
+    # __main__.py files for packages, directories, zip archives, etc, run
+    # their "main only" code unconditionally, so we don't even try to
+    # populate anything in __main__, nor do we make any changes to
+    # __main__ attributes
+    current_main = sys.modules['__main__']
+    if mod_name == "__main__" or mod_name.endswith(".__main__"):
+        return
+
+    # If this process was forked, __main__ may already be populated
+    if getattr(current_main.__spec__, "name", None) == mod_name:
+        return
+
+    # Otherwise, __main__ may contain some non-main code where we need to
+    # support unpickling it properly. We rerun it as __mp_main__ and make
+    # the normal __main__ an alias to that
+    old_main_modules.append(current_main)
+    main_module = types.ModuleType("__mp_main__")
+    main_content = runpy.run_module(mod_name,
+                                    run_name="__mp_main__",
+                                    alter_sys=True)
+    main_module.__dict__.update(main_content)
+    sys.modules['__main__'] = sys.modules['__mp_main__'] = main_module
+
+
+def _fixup_main_from_path(main_path):
+    # If this process was forked, __main__ may already be populated
+    current_main = sys.modules['__main__']
+
+    # Unfortunately, the main ipython launch script historically had no
+    # "if __name__ == '__main__'" guard, so we work around that
+    # by treating it like a __main__.py file
+    # See https://github.com/ipython/ipython/issues/4698
+    main_name = os.path.splitext(os.path.basename(main_path))[0]
+    if main_name == 'ipython':
+        return
+
+    # Otherwise, if __file__ already has the setting we expect,
+    # there's nothing more to do
+    if getattr(current_main, '__file__', None) == main_path:
+        return
+
+    # If the parent process has sent a path through rather than a module
+    # name we assume it is an executable script that may contain
+    # non-main code that needs to be executed
+    old_main_modules.append(current_main)
+    main_module = types.ModuleType("__mp_main__")
+    main_content = runpy.run_path(main_path,
+                                  run_name="__mp_main__")
+    main_module.__dict__.update(main_content)
+    sys.modules['__main__'] = sys.modules['__mp_main__'] = main_module
+
+
+def import_main_path(main_path):
+    '''
+    Set sys.modules['__main__'] to module at main_path
+    '''
+    _fixup_main_from_path(main_path)
diff --git a/llava/lib/python3.10/multiprocessing/synchronize.py b/llava/lib/python3.10/multiprocessing/synchronize.py
new file mode 100644
index 0000000000000000000000000000000000000000..d0be48f1fd7a8f14b935f74d89c168d831b84dbc
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/synchronize.py
@@ -0,0 +1,394 @@
+#
+# Module implementing synchronization primitives
+#
+# multiprocessing/synchronize.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+__all__ = [
+    'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Condition', 'Event'
+    ]
+
+import threading
+import sys
+import tempfile
+import _multiprocessing
+import time
+
+from . import context
+from . import process
+from . import util
+
+# Try to import the mp.synchronize module cleanly, if it fails
+# raise ImportError for platforms lacking a working sem_open implementation.
+# See issue 3770
+try:
+    from _multiprocessing import SemLock, sem_unlink
+except (ImportError):
+    raise ImportError("This platform lacks a functioning sem_open" +
+                      " implementation, therefore, the required" +
+                      " synchronization primitives needed will not" +
+                      " function, see issue 3770.")
+
+#
+# Constants
+#
+
+RECURSIVE_MUTEX, SEMAPHORE = list(range(2))
+SEM_VALUE_MAX = _multiprocessing.SemLock.SEM_VALUE_MAX
+
+#
+# Base class for semaphores and mutexes; wraps `_multiprocessing.SemLock`
+#
+
+class SemLock(object):
+
+    _rand = tempfile._RandomNameSequence()
+
+    def __init__(self, kind, value, maxvalue, *, ctx):
+        if ctx is None:
+            ctx = context._default_context.get_context()
+        name = ctx.get_start_method()
+        unlink_now = sys.platform == 'win32' or name == 'fork'
+        for i in range(100):
+            try:
+                sl = self._semlock = _multiprocessing.SemLock(
+                    kind, value, maxvalue, self._make_name(),
+                    unlink_now)
+            except FileExistsError:
+                pass
+            else:
+                break
+        else:
+            raise FileExistsError('cannot find name for semaphore')
+
+        util.debug('created semlock with handle %s' % sl.handle)
+        self._make_methods()
+
+        if sys.platform != 'win32':
+            def _after_fork(obj):
+                obj._semlock._after_fork()
+            util.register_after_fork(self, _after_fork)
+
+        if self._semlock.name is not None:
+            # We only get here if we are on Unix with forking
+            # disabled.  When the object is garbage collected or the
+            # process shuts down we unlink the semaphore name
+            from .resource_tracker import register
+            register(self._semlock.name, "semaphore")
+            util.Finalize(self, SemLock._cleanup, (self._semlock.name,),
+                          exitpriority=0)
+
+    @staticmethod
+    def _cleanup(name):
+        from .resource_tracker import unregister
+        sem_unlink(name)
+        unregister(name, "semaphore")
+
+    def _make_methods(self):
+        self.acquire = self._semlock.acquire
+        self.release = self._semlock.release
+
+    def __enter__(self):
+        return self._semlock.__enter__()
+
+    def __exit__(self, *args):
+        return self._semlock.__exit__(*args)
+
+    def __getstate__(self):
+        context.assert_spawning(self)
+        sl = self._semlock
+        if sys.platform == 'win32':
+            h = context.get_spawning_popen().duplicate_for_child(sl.handle)
+        else:
+            h = sl.handle
+        return (h, sl.kind, sl.maxvalue, sl.name)
+
+    def __setstate__(self, state):
+        self._semlock = _multiprocessing.SemLock._rebuild(*state)
+        util.debug('recreated blocker with handle %r' % state[0])
+        self._make_methods()
+
+    @staticmethod
+    def _make_name():
+        return '%s-%s' % (process.current_process()._config['semprefix'],
+                          next(SemLock._rand))
+
+#
+# Semaphore
+#
+
+class Semaphore(SemLock):
+
+    def __init__(self, value=1, *, ctx):
+        SemLock.__init__(self, SEMAPHORE, value, SEM_VALUE_MAX, ctx=ctx)
+
+    def get_value(self):
+        return self._semlock._get_value()
+
+    def __repr__(self):
+        try:
+            value = self._semlock._get_value()
+        except Exception:
+            value = 'unknown'
+        return '<%s(value=%s)>' % (self.__class__.__name__, value)
+
+#
+# Bounded semaphore
+#
+
+class BoundedSemaphore(Semaphore):
+
+    def __init__(self, value=1, *, ctx):
+        SemLock.__init__(self, SEMAPHORE, value, value, ctx=ctx)
+
+    def __repr__(self):
+        try:
+            value = self._semlock._get_value()
+        except Exception:
+            value = 'unknown'
+        return '<%s(value=%s, maxvalue=%s)>' % \
+               (self.__class__.__name__, value, self._semlock.maxvalue)
+
+#
+# Non-recursive lock
+#
+
+class Lock(SemLock):
+
+    def __init__(self, *, ctx):
+        SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)
+
+    def __repr__(self):
+        try:
+            if self._semlock._is_mine():
+                name = process.current_process().name
+                if threading.current_thread().name != 'MainThread':
+                    name += '|' + threading.current_thread().name
+            elif self._semlock._get_value() == 1:
+                name = 'None'
+            elif self._semlock._count() > 0:
+                name = 'SomeOtherThread'
+            else:
+                name = 'SomeOtherProcess'
+        except Exception:
+            name = 'unknown'
+        return '<%s(owner=%s)>' % (self.__class__.__name__, name)
+
+#
+# Recursive lock
+#
+
+class RLock(SemLock):
+
+    def __init__(self, *, ctx):
+        SemLock.__init__(self, RECURSIVE_MUTEX, 1, 1, ctx=ctx)
+
+    def __repr__(self):
+        try:
+            if self._semlock._is_mine():
+                name = process.current_process().name
+                if threading.current_thread().name != 'MainThread':
+                    name += '|' + threading.current_thread().name
+                count = self._semlock._count()
+            elif self._semlock._get_value() == 1:
+                name, count = 'None', 0
+            elif self._semlock._count() > 0:
+                name, count = 'SomeOtherThread', 'nonzero'
+            else:
+                name, count = 'SomeOtherProcess', 'nonzero'
+        except Exception:
+            name, count = 'unknown', 'unknown'
+        return '<%s(%s, %s)>' % (self.__class__.__name__, name, count)
+
+#
+# Condition variable
+#
+
+class Condition(object):
+
+    def __init__(self, lock=None, *, ctx):
+        self._lock = lock or ctx.RLock()
+        self._sleeping_count = ctx.Semaphore(0)
+        self._woken_count = ctx.Semaphore(0)
+        self._wait_semaphore = ctx.Semaphore(0)
+        self._make_methods()
+
+    def __getstate__(self):
+        context.assert_spawning(self)
+        return (self._lock, self._sleeping_count,
+                self._woken_count, self._wait_semaphore)
+
+    def __setstate__(self, state):
+        (self._lock, self._sleeping_count,
+         self._woken_count, self._wait_semaphore) = state
+        self._make_methods()
+
+    def __enter__(self):
+        return self._lock.__enter__()
+
+    def __exit__(self, *args):
+        return self._lock.__exit__(*args)
+
+    def _make_methods(self):
+        self.acquire = self._lock.acquire
+        self.release = self._lock.release
+
+    def __repr__(self):
+        try:
+            num_waiters = (self._sleeping_count._semlock._get_value() -
+                           self._woken_count._semlock._get_value())
+        except Exception:
+            num_waiters = 'unknown'
+        return '<%s(%s, %s)>' % (self.__class__.__name__, self._lock, num_waiters)
+
+    def wait(self, timeout=None):
+        assert self._lock._semlock._is_mine(), \
+               'must acquire() condition before using wait()'
+
+        # indicate that this thread is going to sleep
+        self._sleeping_count.release()
+
+        # release lock
+        count = self._lock._semlock._count()
+        for i in range(count):
+            self._lock.release()
+
+        try:
+            # wait for notification or timeout
+            return self._wait_semaphore.acquire(True, timeout)
+        finally:
+            # indicate that this thread has woken
+            self._woken_count.release()
+
+            # reacquire lock
+            for i in range(count):
+                self._lock.acquire()
+
+    def notify(self, n=1):
+        assert self._lock._semlock._is_mine(), 'lock is not owned'
+        assert not self._wait_semaphore.acquire(
+            False), ('notify: Should not have been able to acquire '
+                     + '_wait_semaphore')
+
+        # to take account of timeouts since last notify*() we subtract
+        # woken_count from sleeping_count and rezero woken_count
+        while self._woken_count.acquire(False):
+            res = self._sleeping_count.acquire(False)
+            assert res, ('notify: Bug in sleeping_count.acquire'
+                         + '- res should not be False')
+
+        sleepers = 0
+        while sleepers < n and self._sleeping_count.acquire(False):
+            self._wait_semaphore.release()        # wake up one sleeper
+            sleepers += 1
+
+        if sleepers:
+            for i in range(sleepers):
+                self._woken_count.acquire()       # wait for a sleeper to wake
+
+            # rezero wait_semaphore in case some timeouts just happened
+            while self._wait_semaphore.acquire(False):
+                pass
+
+    def notify_all(self):
+        self.notify(n=sys.maxsize)
+
+    def wait_for(self, predicate, timeout=None):
+        result = predicate()
+        if result:
+            return result
+        if timeout is not None:
+            endtime = time.monotonic() + timeout
+        else:
+            endtime = None
+            waittime = None
+        while not result:
+            if endtime is not None:
+                waittime = endtime - time.monotonic()
+                if waittime <= 0:
+                    break
+            self.wait(waittime)
+            result = predicate()
+        return result
+
+#
+# Event
+#
+
+class Event(object):
+
+    def __init__(self, *, ctx):
+        self._cond = ctx.Condition(ctx.Lock())
+        self._flag = ctx.Semaphore(0)
+
+    def is_set(self):
+        with self._cond:
+            if self._flag.acquire(False):
+                self._flag.release()
+                return True
+            return False
+
+    def set(self):
+        with self._cond:
+            self._flag.acquire(False)
+            self._flag.release()
+            self._cond.notify_all()
+
+    def clear(self):
+        with self._cond:
+            self._flag.acquire(False)
+
+    def wait(self, timeout=None):
+        with self._cond:
+            if self._flag.acquire(False):
+                self._flag.release()
+            else:
+                self._cond.wait(timeout)
+
+            if self._flag.acquire(False):
+                self._flag.release()
+                return True
+            return False
+
+#
+# Barrier
+#
+
+class Barrier(threading.Barrier):
+
+    def __init__(self, parties, action=None, timeout=None, *, ctx):
+        import struct
+        from .heap import BufferWrapper
+        wrapper = BufferWrapper(struct.calcsize('i') * 2)
+        cond = ctx.Condition()
+        self.__setstate__((parties, action, timeout, cond, wrapper))
+        self._state = 0
+        self._count = 0
+
+    def __setstate__(self, state):
+        (self._parties, self._action, self._timeout,
+         self._cond, self._wrapper) = state
+        self._array = self._wrapper.create_memoryview().cast('i')
+
+    def __getstate__(self):
+        return (self._parties, self._action, self._timeout,
+                self._cond, self._wrapper)
+
+    @property
+    def _state(self):
+        return self._array[0]
+
+    @_state.setter
+    def _state(self, value):
+        self._array[0] = value
+
+    @property
+    def _count(self):
+        return self._array[1]
+
+    @_count.setter
+    def _count(self, value):
+        self._array[1] = value
diff --git a/llava/lib/python3.10/multiprocessing/util.py b/llava/lib/python3.10/multiprocessing/util.py
new file mode 100644
index 0000000000000000000000000000000000000000..9e07a4e93e597e853fab59f355419fa5ac282fb2
--- /dev/null
+++ b/llava/lib/python3.10/multiprocessing/util.py
@@ -0,0 +1,489 @@
+#
+# Module providing various facilities to other parts of the package
+#
+# multiprocessing/util.py
+#
+# Copyright (c) 2006-2008, R Oudkerk
+# Licensed to PSF under a Contributor Agreement.
+#
+
+import os
+import itertools
+import sys
+import weakref
+import atexit
+import threading        # we want threading to install it's
+                        # cleanup function before multiprocessing does
+from subprocess import _args_from_interpreter_flags
+
+from . import process
+
+__all__ = [
+    'sub_debug', 'debug', 'info', 'sub_warning', 'get_logger',
+    'log_to_stderr', 'get_temp_dir', 'register_after_fork',
+    'is_exiting', 'Finalize', 'ForkAwareThreadLock', 'ForkAwareLocal',
+    'close_all_fds_except', 'SUBDEBUG', 'SUBWARNING',
+    ]
+
+#
+# Logging
+#
+
+NOTSET = 0
+SUBDEBUG = 5
+DEBUG = 10
+INFO = 20
+SUBWARNING = 25
+
+LOGGER_NAME = 'multiprocessing'
+DEFAULT_LOGGING_FORMAT = '[%(levelname)s/%(processName)s] %(message)s'
+
+_logger = None
+_log_to_stderr = False
+
+def sub_debug(msg, *args):
+    if _logger:
+        _logger.log(SUBDEBUG, msg, *args)
+
+def debug(msg, *args):
+    if _logger:
+        _logger.log(DEBUG, msg, *args)
+
+def info(msg, *args):
+    if _logger:
+        _logger.log(INFO, msg, *args)
+
+def sub_warning(msg, *args):
+    if _logger:
+        _logger.log(SUBWARNING, msg, *args)
+
+def get_logger():
+    '''
+    Returns logger used by multiprocessing
+    '''
+    global _logger
+    import logging
+
+    logging._acquireLock()
+    try:
+        if not _logger:
+
+            _logger = logging.getLogger(LOGGER_NAME)
+            _logger.propagate = 0
+
+            # XXX multiprocessing should cleanup before logging
+            if hasattr(atexit, 'unregister'):
+                atexit.unregister(_exit_function)
+                atexit.register(_exit_function)
+            else:
+                atexit._exithandlers.remove((_exit_function, (), {}))
+                atexit._exithandlers.append((_exit_function, (), {}))
+
+    finally:
+        logging._releaseLock()
+
+    return _logger
+
+def log_to_stderr(level=None):
+    '''
+    Turn on logging and add a handler which prints to stderr
+    '''
+    global _log_to_stderr
+    import logging
+
+    logger = get_logger()
+    formatter = logging.Formatter(DEFAULT_LOGGING_FORMAT)
+    handler = logging.StreamHandler()
+    handler.setFormatter(formatter)
+    logger.addHandler(handler)
+
+    if level:
+        logger.setLevel(level)
+    _log_to_stderr = True
+    return _logger
+
+
+# Abstract socket support
+
+def _platform_supports_abstract_sockets():
+    if sys.platform == "linux":
+        return True
+    if hasattr(sys, 'getandroidapilevel'):
+        return True
+    return False
+
+
+def is_abstract_socket_namespace(address):
+    if not address:
+        return False
+    if isinstance(address, bytes):
+        return address[0] == 0
+    elif isinstance(address, str):
+        return address[0] == "\0"
+    raise TypeError(f'address type of {address!r} unrecognized')
+
+
+abstract_sockets_supported = _platform_supports_abstract_sockets()
+
+#
+# Function returning a temp directory which will be removed on exit
+#
+
+def _remove_temp_dir(rmtree, tempdir):
+    rmtree(tempdir)
+
+    current_process = process.current_process()
+    # current_process() can be None if the finalizer is called
+    # late during Python finalization
+    if current_process is not None:
+        current_process._config['tempdir'] = None
+
+def get_temp_dir():
+    # get name of a temp directory which will be automatically cleaned up
+    tempdir = process.current_process()._config.get('tempdir')
+    if tempdir is None:
+        import shutil, tempfile
+        tempdir = tempfile.mkdtemp(prefix='pymp-')
+        info('created temp directory %s', tempdir)
+        # keep a strong reference to shutil.rmtree(), since the finalizer
+        # can be called late during Python shutdown
+        Finalize(None, _remove_temp_dir, args=(shutil.rmtree, tempdir),
+                 exitpriority=-100)
+        process.current_process()._config['tempdir'] = tempdir
+    return tempdir
+
+#
+# Support for reinitialization of objects when bootstrapping a child process
+#
+
+_afterfork_registry = weakref.WeakValueDictionary()
+_afterfork_counter = itertools.count()
+
+def _run_after_forkers():
+    items = list(_afterfork_registry.items())
+    items.sort()
+    for (index, ident, func), obj in items:
+        try:
+            func(obj)
+        except Exception as e:
+            info('after forker raised exception %s', e)
+
+def register_after_fork(obj, func):
+    _afterfork_registry[(next(_afterfork_counter), id(obj), func)] = obj
+
+#
+# Finalization using weakrefs
+#
+
+_finalizer_registry = {}
+_finalizer_counter = itertools.count()
+
+
+class Finalize(object):
+    '''
+    Class which supports object finalization using weakrefs
+    '''
+    def __init__(self, obj, callback, args=(), kwargs=None, exitpriority=None):
+        if (exitpriority is not None) and not isinstance(exitpriority,int):
+            raise TypeError(
+                "Exitpriority ({0!r}) must be None or int, not {1!s}".format(
+                    exitpriority, type(exitpriority)))
+
+        if obj is not None:
+            self._weakref = weakref.ref(obj, self)
+        elif exitpriority is None:
+            raise ValueError("Without object, exitpriority cannot be None")
+
+        self._callback = callback
+        self._args = args
+        self._kwargs = kwargs or {}
+        self._key = (exitpriority, next(_finalizer_counter))
+        self._pid = os.getpid()
+
+        _finalizer_registry[self._key] = self
+
+    def __call__(self, wr=None,
+                 # Need to bind these locally because the globals can have
+                 # been cleared at shutdown
+                 _finalizer_registry=_finalizer_registry,
+                 sub_debug=sub_debug, getpid=os.getpid):
+        '''
+        Run the callback unless it has already been called or cancelled
+        '''
+        try:
+            del _finalizer_registry[self._key]
+        except KeyError:
+            sub_debug('finalizer no longer registered')
+        else:
+            if self._pid != getpid():
+                sub_debug('finalizer ignored because different process')
+                res = None
+            else:
+                sub_debug('finalizer calling %s with args %s and kwargs %s',
+                          self._callback, self._args, self._kwargs)
+                res = self._callback(*self._args, **self._kwargs)
+            self._weakref = self._callback = self._args = \
+                            self._kwargs = self._key = None
+            return res
+
+    def cancel(self):
+        '''
+        Cancel finalization of the object
+        '''
+        try:
+            del _finalizer_registry[self._key]
+        except KeyError:
+            pass
+        else:
+            self._weakref = self._callback = self._args = \
+                            self._kwargs = self._key = None
+
+    def still_active(self):
+        '''
+        Return whether this finalizer is still waiting to invoke callback
+        '''
+        return self._key in _finalizer_registry
+
+    def __repr__(self):
+        try:
+            obj = self._weakref()
+        except (AttributeError, TypeError):
+            obj = None
+
+        if obj is None:
+            return '<%s object, dead>' % self.__class__.__name__
+
+        x = '<%s object, callback=%s' % (
+                self.__class__.__name__,
+                getattr(self._callback, '__name__', self._callback))
+        if self._args:
+            x += ', args=' + str(self._args)
+        if self._kwargs:
+            x += ', kwargs=' + str(self._kwargs)
+        if self._key[0] is not None:
+            x += ', exitpriority=' + str(self._key[0])
+        return x + '>'
+
+
+def _run_finalizers(minpriority=None):
+    '''
+    Run all finalizers whose exit priority is not None and at least minpriority
+
+    Finalizers with highest priority are called first; finalizers with
+    the same priority will be called in reverse order of creation.
+    '''
+    if _finalizer_registry is None:
+        # This function may be called after this module's globals are
+        # destroyed.  See the _exit_function function in this module for more
+        # notes.
+        return
+
+    if minpriority is None:
+        f = lambda p : p[0] is not None
+    else:
+        f = lambda p : p[0] is not None and p[0] >= minpriority
+
+    # Careful: _finalizer_registry may be mutated while this function
+    # is running (either by a GC run or by another thread).
+
+    # list(_finalizer_registry) should be atomic, while
+    # list(_finalizer_registry.items()) is not.
+    keys = [key for key in list(_finalizer_registry) if f(key)]
+    keys.sort(reverse=True)
+
+    for key in keys:
+        finalizer = _finalizer_registry.get(key)
+        # key may have been removed from the registry
+        if finalizer is not None:
+            sub_debug('calling %s', finalizer)
+            try:
+                finalizer()
+            except Exception:
+                import traceback
+                traceback.print_exc()
+
+    if minpriority is None:
+        _finalizer_registry.clear()
+
+#
+# Clean up on exit
+#
+
+def is_exiting():
+    '''
+    Returns true if the process is shutting down
+    '''
+    return _exiting or _exiting is None
+
+_exiting = False
+
+def _exit_function(info=info, debug=debug, _run_finalizers=_run_finalizers,
+                   active_children=process.active_children,
+                   current_process=process.current_process):
+    # We hold on to references to functions in the arglist due to the
+    # situation described below, where this function is called after this
+    # module's globals are destroyed.
+
+    global _exiting
+
+    if not _exiting:
+        _exiting = True
+
+        info('process shutting down')
+        debug('running all "atexit" finalizers with priority >= 0')
+        _run_finalizers(0)
+
+        if current_process() is not None:
+            # We check if the current process is None here because if
+            # it's None, any call to ``active_children()`` will raise
+            # an AttributeError (active_children winds up trying to
+            # get attributes from util._current_process).  One
+            # situation where this can happen is if someone has
+            # manipulated sys.modules, causing this module to be
+            # garbage collected.  The destructor for the module type
+            # then replaces all values in the module dict with None.
+            # For instance, after setuptools runs a test it replaces
+            # sys.modules with a copy created earlier.  See issues
+            # #9775 and #15881.  Also related: #4106, #9205, and
+            # #9207.
+
+            for p in active_children():
+                if p.daemon:
+                    info('calling terminate() for daemon %s', p.name)
+                    p._popen.terminate()
+
+            for p in active_children():
+                info('calling join() for process %s', p.name)
+                p.join()
+
+        debug('running the remaining "atexit" finalizers')
+        _run_finalizers()
+
+atexit.register(_exit_function)
+
+#
+# Some fork aware types
+#
+
+class ForkAwareThreadLock(object):
+    def __init__(self):
+        self._lock = threading.Lock()
+        self.acquire = self._lock.acquire
+        self.release = self._lock.release
+        register_after_fork(self, ForkAwareThreadLock._at_fork_reinit)
+
+    def _at_fork_reinit(self):
+        self._lock._at_fork_reinit()
+
+    def __enter__(self):
+        return self._lock.__enter__()
+
+    def __exit__(self, *args):
+        return self._lock.__exit__(*args)
+
+
+class ForkAwareLocal(threading.local):
+    def __init__(self):
+        register_after_fork(self, lambda obj : obj.__dict__.clear())
+    def __reduce__(self):
+        return type(self), ()
+
+#
+# Close fds except those specified
+#
+
+try:
+    MAXFD = os.sysconf("SC_OPEN_MAX")
+except Exception:
+    MAXFD = 256
+
+def close_all_fds_except(fds):
+    fds = list(fds) + [-1, MAXFD]
+    fds.sort()
+    assert fds[-1] == MAXFD, 'fd too large'
+    for i in range(len(fds) - 1):
+        os.closerange(fds[i]+1, fds[i+1])
+#
+# Close sys.stdin and replace stdin with os.devnull
+#
+
+def _close_stdin():
+    if sys.stdin is None:
+        return
+
+    try:
+        sys.stdin.close()
+    except (OSError, ValueError):
+        pass
+
+    try:
+        fd = os.open(os.devnull, os.O_RDONLY)
+        try:
+            sys.stdin = open(fd, encoding="utf-8", closefd=False)
+        except:
+            os.close(fd)
+            raise
+    except (OSError, ValueError):
+        pass
+
+#
+# Flush standard streams, if any
+#
+
+def _flush_std_streams():
+    try:
+        sys.stdout.flush()
+    except (AttributeError, ValueError):
+        pass
+    try:
+        sys.stderr.flush()
+    except (AttributeError, ValueError):
+        pass
+
+#
+# Start a program with only specified fds kept open
+#
+
+def spawnv_passfds(path, args, passfds):
+    import _posixsubprocess
+    passfds = tuple(sorted(map(int, passfds)))
+    errpipe_read, errpipe_write = os.pipe()
+    try:
+        return _posixsubprocess.fork_exec(
+            args, [os.fsencode(path)], True, passfds, None, None,
+            -1, -1, -1, -1, -1, -1, errpipe_read, errpipe_write,
+            False, False, None, None, None, -1, None)
+    finally:
+        os.close(errpipe_read)
+        os.close(errpipe_write)
+
+
+def close_fds(*fds):
+    """Close each file descriptor given as an argument"""
+    for fd in fds:
+        os.close(fd)
+
+
+def _cleanup_tests():
+    """Cleanup multiprocessing resources when multiprocessing tests
+    completed."""
+
+    from test import support
+
+    # cleanup multiprocessing
+    process._cleanup()
+
+    # Stop the ForkServer process if it's running
+    from multiprocessing import forkserver
+    forkserver._forkserver._stop()
+
+    # Stop the ResourceTracker process if it's running
+    from multiprocessing import resource_tracker
+    resource_tracker._resource_tracker._stop()
+
+    # bpo-37421: Explicitly call _run_finalizers() to remove immediately
+    # temporary directories created by multiprocessing.util.get_temp_dir().
+    _run_finalizers()
+    support.gc_collect()
+
+    support.reap_children()
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..74e4c342c6a77a46821240232fd18db56ae6b6e2
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_ctc_loss_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 ::std::tuple<at::Tensor,at::Tensor> _ctc_loss(const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank=0, bool zero_infinity=false);
+TORCH_API ::std::tuple<at::Tensor,at::Tensor> _ctc_loss(const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank=0, bool zero_infinity=false);
+
+} // namespace cpu
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sub.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sub.h
new file mode 100644
index 0000000000000000000000000000000000000000..a231c416add126a7b00c2b136fd48c340259234d
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sub.h
@@ -0,0 +1,82 @@
+#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/_foreach_sub_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_sub.Scalar(Tensor[] self, Scalar scalar) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_sub(at::TensorList self, const at::Scalar & scalar) {
+    return at::_ops::_foreach_sub_Scalar::call(self, scalar);
+}
+
+// aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> ()
+inline void _foreach_sub_(at::TensorList self, const at::Scalar & scalar) {
+    return at::_ops::_foreach_sub__Scalar::call(self, scalar);
+}
+
+// aten::_foreach_sub.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_sub(at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) {
+    return at::_ops::_foreach_sub_List::call(self, other, alpha);
+}
+
+// aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> ()
+inline void _foreach_sub_(at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) {
+    return at::_ops::_foreach_sub__List::call(self, other, alpha);
+}
+
+// aten::_foreach_sub.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_sub(at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
+    return at::_ops::_foreach_sub_ScalarList::call(self, scalars);
+}
+
+// aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> ()
+inline void _foreach_sub_(at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
+    return at::_ops::_foreach_sub__ScalarList::call(self, scalars);
+}
+
+// aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sub_out(at::TensorList out, at::TensorList self, const at::Scalar & scalar) {
+    return at::_ops::_foreach_sub_Scalar_out::call(self, scalar, out);
+}
+// aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sub_outf(at::TensorList self, const at::Scalar & scalar, at::TensorList out) {
+    return at::_ops::_foreach_sub_Scalar_out::call(self, scalar, out);
+}
+
+// aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
+inline void _foreach_sub_out(at::TensorList out, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) {
+    return at::_ops::_foreach_sub_List_out::call(self, other, alpha, out);
+}
+// aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> ()
+inline void _foreach_sub_outf(at::TensorList self, at::TensorList other, const at::Scalar & alpha, at::TensorList out) {
+    return at::_ops::_foreach_sub_List_out::call(self, other, alpha, out);
+}
+
+// aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sub_out(at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) {
+    return at::_ops::_foreach_sub_ScalarList_out::call(self, scalars, out);
+}
+// aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> ()
+inline void _foreach_sub_outf(at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) {
+    return at::_ops::_foreach_sub_ScalarList_out::call(self, scalars, out);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..a03572ce2dc1567ec8a6d2b36881b4f9ec3ad7d2
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_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 ::std::tuple<at::Tensor,at::Tensor> _grid_sampler_2d_cpu_fallback_backward(const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..196c36ef32f978ad0c0be18e9f114607e6feab45
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_softmax_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>
+#include <ATen/ops/_softmax_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_softmax_cpu_out : public at::meta::structured__softmax {
+void impl(const at::Tensor & self, int64_t dim, bool half_to_float, const at::Tensor & out);
+};
+struct TORCH_API structured_softmax_cuda_out : public at::meta::structured__softmax {
+void impl(const at::Tensor & self, int64_t dim, bool half_to_float, const at::Tensor & out);
+};
+TORCH_API at::Tensor softmax_nested(const at::Tensor & self, int64_t dim, bool half_to_float);
+TORCH_API at::Tensor mkldnn_softmax(const at::Tensor & self, int64_t dim, bool half_to_float);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h
new file mode 100644
index 0000000000000000000000000000000000000000..ae366aadf5e55253e75edc4b2ae545aece7eb719
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h
@@ -0,0 +1,34 @@
+#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/_sparse_bsc_tensor_unsafe_ops.h>
+
+namespace at {
+
+
+// aten::_sparse_bsc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+inline at::Tensor _sparse_bsc_tensor_unsafe(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) {
+    return at::_ops::_sparse_bsc_tensor_unsafe::call(ccol_indices, row_indices, values, size, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
+}
+// aten::_sparse_bsc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+inline at::Tensor _sparse_bsc_tensor_unsafe(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, ::std::optional<at::ScalarType> dtype, ::std::optional<at::Layout> layout, ::std::optional<at::Device> device, ::std::optional<bool> pin_memory) {
+    return at::_ops::_sparse_bsc_tensor_unsafe::call(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..7f9dcd4e1ed0ddf5157fc17f67554ef0cf9a6d69
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_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_autograd_multiple_dispatch_view_copy {
+  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::_test_autograd_multiple_dispatch_view_copy")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_test_autograd_multiple_dispatch_view_copy(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 _test_autograd_multiple_dispatch_view_copy_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::_test_autograd_multiple_dispatch_view_copy")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_test_autograd_multiple_dispatch_view_copy.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/_thnn_fused_gru_cell_backward_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..cd1d4e8077a4084f8989d4b7c45e281f7b55170c
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_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 cuda {
+
+TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_fused_gru_cell_backward(const at::Tensor & grad_hy, const at::Tensor & workspace, bool has_bias);
+
+} // namespace cuda
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/acos_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/acos_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..1dbf39f8a4565bc4fa43caace5661a3631f34614
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/acos_native.h
@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+#include <ATen/ops/acos_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_acos_out : public at::meta::structured_acos {
+void impl(const at::Tensor & self, const at::Tensor & out);
+};
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..278a318677bf49f8a7a2a20ff58a1ab9b49d234b
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addmm_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 addmm(const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1);
+TORCH_API at::Tensor & addmm_(at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/atanh_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/atanh_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..af40c03df0c03e1157ca29f8ca87aad1d4e9527b
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/atanh_cpu_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 cpu {
+
+TORCH_API at::Tensor atanh(const at::Tensor & self);
+TORCH_API at::Tensor & atanh_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & atanh_outf(const at::Tensor & self, at::Tensor & out);
+TORCH_API at::Tensor & atanh_(at::Tensor & self);
+
+} // namespace cpu
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/clamp_min_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/clamp_min_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..7ec34c6ce542d4adb4d9da5dc92a10a217e64edf
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/clamp_min_native.h
@@ -0,0 +1,26 @@
+#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>
+#include <ATen/ops/clamp_min_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_clamp_min_out : public at::meta::structured_clamp_min {
+void impl(const at::Tensor & self, const at::Scalar & min, const at::Tensor & out);
+};
+struct TORCH_API structured_clamp_min_Tensor_out : public at::meta::structured_clamp_min_Tensor {
+void impl(const at::Tensor & self, const at::Tensor & min, const at::Tensor & out);
+};
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..702bfc6b5cf7e44fdbae0cbcb1520f0f0dc15f32
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cumprod_backward_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 cumprod_backward(const at::Tensor & grad, const at::Tensor & input, int64_t dim, const at::Tensor & output);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cumulative_trapezoid_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cumulative_trapezoid_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..b5b05288aef27f70e8f136858a1b721251da8b47
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cumulative_trapezoid_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 cumulative_trapezoid_x {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, int64_t);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cumulative_trapezoid")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "x")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cumulative_trapezoid.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor")
+  static at::Tensor call(const at::Tensor & y, const at::Tensor & x, int64_t dim);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim);
+};
+
+struct TORCH_API cumulative_trapezoid_dx {
+  using schema = at::Tensor (const at::Tensor &, const at::Scalar &, int64_t);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cumulative_trapezoid")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "dx")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cumulative_trapezoid.dx(Tensor y, *, Scalar dx=1, int dim=-1) -> Tensor")
+  static at::Tensor call(const at::Tensor & y, const at::Scalar & dx, int64_t dim);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Scalar & dx, int64_t dim);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/flip.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/flip.h
new file mode 100644
index 0000000000000000000000000000000000000000..ccd5f1cfb2f526088c980fe54ffe94a1d35305aa
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/flip.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/flip_ops.h>
+
+namespace at {
+
+
+// aten::flip(Tensor self, int[] dims) -> Tensor
+inline at::Tensor flip(const at::Tensor & self, at::IntArrayRef dims) {
+    return at::_ops::flip::call(self, dims);
+}
+
+// aten::flip.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & flip_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dims) {
+    return at::_ops::flip_out::call(self, dims, out);
+}
+// aten::flip.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & flip_outf(const at::Tensor & self, at::IntArrayRef dims, at::Tensor & out) {
+    return at::_ops::flip_out::call(self, dims, out);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..7823e43b9a610546b1dee85303e896cacd481d69
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/geometric_compositeexplicitautograd_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 compositeexplicitautograd {
+
+TORCH_API at::Tensor geometric(const at::Tensor & self, double p, ::std::optional<at::Generator> generator=::std::nullopt);
+TORCH_API at::Tensor & geometric_out(at::Tensor & out, const at::Tensor & self, double p, ::std::optional<at::Generator> generator=::std::nullopt);
+TORCH_API at::Tensor & geometric_outf(const at::Tensor & self, double p, ::std::optional<at::Generator> generator, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/lcm_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/lcm_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..ad560922ed827d4eeac753bd790fefe2f8b7ce94
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/lcm_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 lcm_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::lcm")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "lcm.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 lcm {
+  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::lcm")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "lcm(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 lcm_ {
+  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::lcm_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "lcm_(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);
+};
+
+}} // namespace at::_ops
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_ldl_solve_meta.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_ldl_solve_meta.h
new file mode 100644
index 0000000000000000000000000000000000000000..3a338f8a1d239b094a8dc264f26d0d1b1c5c07e1
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_ldl_solve_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_ldl_solve : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian);
+};
+
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logit_backward_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logit_backward_meta_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..f111b9e02b26d573b3299fccc7ffc4fa6f0a2cbe
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logit_backward_meta_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor logit_backward(const at::Tensor & grad_output, const at::Tensor & self, ::std::optional<double> eps=::std::nullopt);
+TORCH_API at::Tensor & logit_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, ::std::optional<double> eps=::std::nullopt);
+TORCH_API at::Tensor & logit_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, ::std::optional<double> eps, at::Tensor & grad_input);
+
+} // namespace meta
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multilabel_margin_loss_backward.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multilabel_margin_loss_backward.h
new file mode 100644
index 0000000000000000000000000000000000000000..69891ac818f712ba34e2599885ce2c5c6a9891c2
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multilabel_margin_loss_backward.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/multilabel_margin_loss_backward_ops.h>
+
+namespace at {
+
+
+// aten::multilabel_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target, *, Tensor(a!) grad_input) -> Tensor(a!)
+inline at::Tensor & multilabel_margin_loss_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target) {
+    return at::_ops::multilabel_margin_loss_backward_grad_input::call(grad_output, self, target, reduction, is_target, grad_input);
+}
+// aten::multilabel_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target, *, Tensor(a!) grad_input) -> Tensor(a!)
+inline at::Tensor & multilabel_margin_loss_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target, at::Tensor & grad_input) {
+    return at::_ops::multilabel_margin_loss_backward_grad_input::call(grad_output, self, target, reduction, is_target, grad_input);
+}
+
+// aten::multilabel_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target) -> Tensor
+inline at::Tensor multilabel_margin_loss_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target) {
+    return at::_ops::multilabel_margin_loss_backward::call(grad_output, self, target, reduction, is_target);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..2a144c8454ef80f54b0d9d1fb1e315c461ca76b8
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor & permute_copy_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dims);
+TORCH_API at::Tensor & permute_copy_outf(const at::Tensor & self, at::IntArrayRef dims, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/select_backward_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/select_backward_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..bc25fcc1a11a033f7f51608e1ef7c240801b79d1
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/select_backward_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 & select_backward_out_symint(const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt index, at::Tensor & out);
+TORCH_API at::Tensor select_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt index);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/select_copy_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/select_copy_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..9179e7e3e4599013de49c723c8838e9d9a72e85c
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/select_copy_native.h
@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <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 & select_copy_int_out_symint(const at::Tensor & self, int64_t dim, c10::SymInt index, at::Tensor & out);
+TORCH_API at::Tensor select_copy_sparse_csr(const at::Tensor & self, int64_t dim, int64_t index);
+TORCH_API at::Tensor select_copy_symint(const at::Tensor & self, int64_t dim, c10::SymInt index);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..51a6e04e8de70701100d2f47cf33926d5e8e85cc
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/slow_conv3d_forward_cpu_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 cpu {
+
+TORCH_API at::Tensor slow_conv3d_forward(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const ::std::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding);
+TORCH_API at::Tensor slow_conv3d_forward_symint(const at::Tensor & self, const at::Tensor & weight, c10::SymIntArrayRef kernel_size, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::SymIntArrayRef padding);
+TORCH_API at::Tensor & slow_conv3d_forward_out(at::Tensor & output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const ::std::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding);
+TORCH_API at::Tensor & slow_conv3d_forward_outf(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const ::std::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & output);
+TORCH_API at::Tensor & slow_conv3d_forward_symint_out(at::Tensor & output, const at::Tensor & self, const at::Tensor & weight, c10::SymIntArrayRef kernel_size, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::SymIntArrayRef padding);
+TORCH_API at::Tensor & slow_conv3d_forward_symint_outf(const at::Tensor & self, const at::Tensor & weight, c10::SymIntArrayRef kernel_size, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::SymIntArrayRef padding, at::Tensor & output);
+
+} // namespace cpu
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_hermite_polynomial_he_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_hermite_polynomial_he_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..476663801cc3b3e1ffbf6c462394c7c385aba126
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_hermite_polynomial_he_native.h
@@ -0,0 +1,27 @@
+#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>
+#include <ATen/ops/special_hermite_polynomial_he_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_special_hermite_polynomial_he_out : public at::meta::structured_special_hermite_polynomial_he {
+void impl(const at::Tensor & x, const at::Tensor & n, const at::Tensor & out);
+};
+TORCH_API at::Tensor special_hermite_polynomial_he(const at::Scalar & x, const at::Tensor & n);
+TORCH_API at::Tensor & special_hermite_polynomial_he_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out);
+TORCH_API at::Tensor special_hermite_polynomial_he(const at::Tensor & x, const at::Scalar & n);
+TORCH_API at::Tensor & special_hermite_polynomial_he_out(const at::Tensor & x, const at::Scalar & n, at::Tensor & out);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_i1e_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_i1e_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..36049fb8c569d819488536ece367000a01480527
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_i1e_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_i1e(const at::Tensor & self);
+TORCH_API at::Tensor & special_i1e_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & special_i1e_outf(const at::Tensor & self, at::Tensor & out);
+
+} // namespace cpu
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_psi.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_psi.h
new file mode 100644
index 0000000000000000000000000000000000000000..35ecd7f1dc24882da09d9e2dff9577a7d93d91d3
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_psi.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/special_psi_ops.h>
+
+namespace at {
+
+
+// aten::special_psi(Tensor self) -> Tensor
+inline at::Tensor special_psi(const at::Tensor & self) {
+    return at::_ops::special_psi::call(self);
+}
+
+// aten::special_psi.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_psi_out(at::Tensor & out, const at::Tensor & self) {
+    return at::_ops::special_psi_out::call(self, out);
+}
+// aten::special_psi.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_psi_outf(const at::Tensor & self, at::Tensor & out) {
+    return at::_ops::special_psi_out::call(self, out);
+}
+
+}
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/to_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/to_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..68479efde74b8a6f35ac6dd2a12d6f8fe15780ea
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/to_native.h
@@ -0,0 +1,24 @@
+#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(const at::Tensor & self, ::std::optional<at::ScalarType> dtype={}, ::std::optional<at::Layout> layout={}, ::std::optional<at::Device> device={}, ::std::optional<bool> pin_memory={}, bool non_blocking=false, bool copy=false, ::std::optional<at::MemoryFormat> memory_format=::std::nullopt);
+TORCH_API at::Tensor to(const at::Tensor & self, at::Device device, at::ScalarType dtype, bool non_blocking=false, bool copy=false, ::std::optional<at::MemoryFormat> memory_format=::std::nullopt);
+TORCH_API at::Tensor to(const at::Tensor & self, at::ScalarType dtype, bool non_blocking=false, bool copy=false, ::std::optional<at::MemoryFormat> memory_format=::std::nullopt);
+TORCH_API at::Tensor to(const at::Tensor & self, const at::Tensor & other, bool non_blocking=false, bool copy=false, ::std::optional<at::MemoryFormat> memory_format=::std::nullopt);
+} // namespace native
+} // namespace at
diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..9054bc9e2eeb9cbabe83cd443455ad272907d533
--- /dev/null
+++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor & view_as_real_copy_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & view_as_real_copy_outf(const at::Tensor & self, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at