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@@ -588,3 +588,8 @@ valley/bin/x86_64-conda_cos7-linux-gnu-ld filter=lfs diff=lfs merge=lfs -text
 valley/lib/libncursesw.a filter=lfs diff=lfs merge=lfs -text
 valley/compiler_compat/ld filter=lfs diff=lfs merge=lfs -text
 valley/lib/libatomic.so filter=lfs diff=lfs merge=lfs -text
+wemm/bin/bzcat filter=lfs diff=lfs merge=lfs -text
+wemm/compiler_compat/ld filter=lfs diff=lfs merge=lfs -text
+wemm/bin/sqlite3 filter=lfs diff=lfs merge=lfs -text
+wemm/bin/x86_64-conda_cos7-linux-gnu-ld filter=lfs diff=lfs merge=lfs -text
+wemm/bin/bunzip2 filter=lfs diff=lfs merge=lfs -text

valley/lib/python3.10/site-packages/annotated_types/__init__.py

@@ -0,0 +1,432 @@
+import math
+import sys
+import types
+from dataclasses import dataclass
+from datetime import tzinfo
+from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
+
+if sys.version_info < (3, 8):
+    from typing_extensions import Protocol, runtime_checkable
+else:
+    from typing import Protocol, runtime_checkable
+
+if sys.version_info < (3, 9):
+    from typing_extensions import Annotated, Literal
+else:
+    from typing import Annotated, Literal
+
+if sys.version_info < (3, 10):
+    EllipsisType = type(Ellipsis)
+    KW_ONLY = {}
+    SLOTS = {}
+else:
+    from types import EllipsisType
+
+    KW_ONLY = {"kw_only": True}
+    SLOTS = {"slots": True}
+
+
+__all__ = (
+    'BaseMetadata',
+    'GroupedMetadata',
+    'Gt',
+    'Ge',
+    'Lt',
+    'Le',
+    'Interval',
+    'MultipleOf',
+    'MinLen',
+    'MaxLen',
+    'Len',
+    'Timezone',
+    'Predicate',
+    'LowerCase',
+    'UpperCase',
+    'IsDigits',
+    'IsFinite',
+    'IsNotFinite',
+    'IsNan',
+    'IsNotNan',
+    'IsInfinite',
+    'IsNotInfinite',
+    'doc',
+    'DocInfo',
+    '__version__',
+)
+
+__version__ = '0.7.0'
+
+
+T = TypeVar('T')
+
+
+# arguments that start with __ are considered
+# positional only
+# see https://peps.python.org/pep-0484/#positional-only-arguments
+
+
+class SupportsGt(Protocol):
+    def __gt__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsGe(Protocol):
+    def __ge__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsLt(Protocol):
+    def __lt__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsLe(Protocol):
+    def __le__(self: T, __other: T) -> bool:
+        ...
+
+
+class SupportsMod(Protocol):
+    def __mod__(self: T, __other: T) -> T:
+        ...
+
+
+class SupportsDiv(Protocol):
+    def __div__(self: T, __other: T) -> T:
+        ...
+
+
+class BaseMetadata:
+    """Base class for all metadata.
+
+    This exists mainly so that implementers
+    can do `isinstance(..., BaseMetadata)` while traversing field annotations.
+    """
+
+    __slots__ = ()
+
+
+@dataclass(frozen=True, **SLOTS)
+class Gt(BaseMetadata):
+    """Gt(gt=x) implies that the value must be greater than x.
+
+    It can be used with any type that supports the ``>`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    gt: SupportsGt
+
+
+@dataclass(frozen=True, **SLOTS)
+class Ge(BaseMetadata):
+    """Ge(ge=x) implies that the value must be greater than or equal to x.
+
+    It can be used with any type that supports the ``>=`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    ge: SupportsGe
+
+
+@dataclass(frozen=True, **SLOTS)
+class Lt(BaseMetadata):
+    """Lt(lt=x) implies that the value must be less than x.
+
+    It can be used with any type that supports the ``<`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    lt: SupportsLt
+
+
+@dataclass(frozen=True, **SLOTS)
+class Le(BaseMetadata):
+    """Le(le=x) implies that the value must be less than or equal to x.
+
+    It can be used with any type that supports the ``<=`` operator,
+    including numbers, dates and times, strings, sets, and so on.
+    """
+
+    le: SupportsLe
+
+
+@runtime_checkable
+class GroupedMetadata(Protocol):
+    """A grouping of multiple objects, like typing.Unpack.
+
+    `GroupedMetadata` on its own is not metadata and has no meaning.
+    All of the constraints and metadata should be fully expressable
+    in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
+
+    Concrete implementations should override `GroupedMetadata.__iter__()`
+    to add their own metadata.
+    For example:
+
+    >>> @dataclass
+    >>> class Field(GroupedMetadata):
+    >>>     gt: float | None = None
+    >>>     description: str | None = None
+    ...
+    >>>     def __iter__(self) -> Iterable[object]:
+    >>>         if self.gt is not None:
+    >>>             yield Gt(self.gt)
+    >>>         if self.description is not None:
+    >>>             yield Description(self.gt)
+
+    Also see the implementation of `Interval` below for an example.
+
+    Parsers should recognize this and unpack it so that it can be used
+    both with and without unpacking:
+
+    - `Annotated[int, Field(...)]` (parser must unpack Field)
+    - `Annotated[int, *Field(...)]` (PEP-646)
+    """  # noqa: trailing-whitespace
+
+    @property
+    def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
+        return True
+
+    def __iter__(self) -> Iterator[object]:
+        ...
+
+    if not TYPE_CHECKING:
+        __slots__ = ()  # allow subclasses to use slots
+
+        def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
+            # Basic ABC like functionality without the complexity of an ABC
+            super().__init_subclass__(*args, **kwargs)
+            if cls.__iter__ is GroupedMetadata.__iter__:
+                raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
+
+        def __iter__(self) -> Iterator[object]:  # noqa: F811
+            raise NotImplementedError  # more helpful than "None has no attribute..." type errors
+
+
+@dataclass(frozen=True, **KW_ONLY, **SLOTS)
+class Interval(GroupedMetadata):
+    """Interval can express inclusive or exclusive bounds with a single object.
+
+    It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
+    are interpreted the same way as the single-bound constraints.
+    """
+
+    gt: Union[SupportsGt, None] = None
+    ge: Union[SupportsGe, None] = None
+    lt: Union[SupportsLt, None] = None
+    le: Union[SupportsLe, None] = None
+
+    def __iter__(self) -> Iterator[BaseMetadata]:
+        """Unpack an Interval into zero or more single-bounds."""
+        if self.gt is not None:
+            yield Gt(self.gt)
+        if self.ge is not None:
+            yield Ge(self.ge)
+        if self.lt is not None:
+            yield Lt(self.lt)
+        if self.le is not None:
+            yield Le(self.le)
+
+
+@dataclass(frozen=True, **SLOTS)
+class MultipleOf(BaseMetadata):
+    """MultipleOf(multiple_of=x) might be interpreted in two ways:
+
+    1. Python semantics, implying ``value % multiple_of == 0``, or
+    2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
+
+    We encourage users to be aware of these two common interpretations,
+    and libraries to carefully document which they implement.
+    """
+
+    multiple_of: Union[SupportsDiv, SupportsMod]
+
+
+@dataclass(frozen=True, **SLOTS)
+class MinLen(BaseMetadata):
+    """
+    MinLen() implies minimum inclusive length,
+    e.g. ``len(value) >= min_length``.
+    """
+
+    min_length: Annotated[int, Ge(0)]
+
+
+@dataclass(frozen=True, **SLOTS)
+class MaxLen(BaseMetadata):
+    """
+    MaxLen() implies maximum inclusive length,
+    e.g. ``len(value) <= max_length``.
+    """
+
+    max_length: Annotated[int, Ge(0)]
+
+
+@dataclass(frozen=True, **SLOTS)
+class Len(GroupedMetadata):
+    """
+    Len() implies that ``min_length <= len(value) <= max_length``.
+
+    Upper bound may be omitted or ``None`` to indicate no upper length bound.
+    """
+
+    min_length: Annotated[int, Ge(0)] = 0
+    max_length: Optional[Annotated[int, Ge(0)]] = None
+
+    def __iter__(self) -> Iterator[BaseMetadata]:
+        """Unpack a Len into zone or more single-bounds."""
+        if self.min_length > 0:
+            yield MinLen(self.min_length)
+        if self.max_length is not None:
+            yield MaxLen(self.max_length)
+
+
+@dataclass(frozen=True, **SLOTS)
+class Timezone(BaseMetadata):
+    """Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
+
+    ``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
+    ``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
+    tz-aware but any timezone is allowed.
+
+    You may also pass a specific timezone string or tzinfo object such as
+    ``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
+    you only allow a specific timezone, though we note that this is often
+    a symptom of poor design.
+    """
+
+    tz: Union[str, tzinfo, EllipsisType, None]
+
+
+@dataclass(frozen=True, **SLOTS)
+class Unit(BaseMetadata):
+    """Indicates that the value is a physical quantity with the specified unit.
+
+    It is intended for usage with numeric types, where the value represents the
+    magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
+    or ``speed: Annotated[float, Unit('m/s')]``.
+
+    Interpretation of the unit string is left to the discretion of the consumer.
+    It is suggested to follow conventions established by python libraries that work
+    with physical quantities, such as
+
+    - ``pint`` : <https://pint.readthedocs.io/en/stable/>
+    - ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
+
+    For indicating a quantity with a certain dimensionality but without a specific unit
+    it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
+    Note, however, ``annotated_types`` itself makes no use of the unit string.
+    """
+
+    unit: str
+
+
+@dataclass(frozen=True, **SLOTS)
+class Predicate(BaseMetadata):
+    """``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
+
+    Users should prefer statically inspectable metadata, but if you need the full
+    power and flexibility of arbitrary runtime predicates... here it is.
+
+    We provide a few predefined predicates for common string constraints:
+    ``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
+    ``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
+    can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
+
+    Some libraries might have special logic to handle certain predicates, e.g. by
+    checking for `str.isdigit` and using its presence to both call custom logic to
+    enforce digit-only strings, and customise some generated external schema.
+
+    We do not specify what behaviour should be expected for predicates that raise
+    an exception.  For example `Annotated[int, Predicate(str.isdigit)]` might silently
+    skip invalid constraints, or statically raise an error; or it might try calling it
+    and then propagate or discard the resulting exception.
+    """
+
+    func: Callable[[Any], bool]
+
+    def __repr__(self) -> str:
+        if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
+            return f"{self.__class__.__name__}({self.func!r})"
+        if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
+            namespace := getattr(self.func.__self__, "__name__", None)
+        ):
+            return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
+        if isinstance(self.func, type(str.isascii)):  # method descriptor
+            return f"{self.__class__.__name__}({self.func.__qualname__})"
+        return f"{self.__class__.__name__}({self.func.__name__})"
+
+
+@dataclass
+class Not:
+    func: Callable[[Any], bool]
+
+    def __call__(self, __v: Any) -> bool:
+        return not self.func(__v)
+
+
+_StrType = TypeVar("_StrType", bound=str)
+
+LowerCase = Annotated[_StrType, Predicate(str.islower)]
+"""
+Return True if the string is a lowercase string, False otherwise.
+
+A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
+"""  # noqa: E501
+UpperCase = Annotated[_StrType, Predicate(str.isupper)]
+"""
+Return True if the string is an uppercase string, False otherwise.
+
+A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
+"""  # noqa: E501
+IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
+IsDigits = IsDigit  # type: ignore  # plural for backwards compatibility, see #63
+"""
+Return True if the string is a digit string, False otherwise.
+
+A string is a digit string if all characters in the string are digits and there is at least one character in the string.
+"""  # noqa: E501
+IsAscii = Annotated[_StrType, Predicate(str.isascii)]
+"""
+Return True if all characters in the string are ASCII, False otherwise.
+
+ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
+"""
+
+_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
+IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
+"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
+IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
+"""Return True if x is one of infinity or NaN, and False otherwise"""
+IsNan = Annotated[_NumericType, Predicate(math.isnan)]
+"""Return True if x is a NaN (not a number), and False otherwise."""
+IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
+"""Return True if x is anything but NaN (not a number), and False otherwise."""
+IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
+"""Return True if x is a positive or negative infinity, and False otherwise."""
+IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
+"""Return True if x is neither a positive or negative infinity, and False otherwise."""
+
+try:
+    from typing_extensions import DocInfo, doc  # type: ignore [attr-defined]
+except ImportError:
+
+    @dataclass(frozen=True, **SLOTS)
+    class DocInfo:  # type: ignore [no-redef]
+        """ "
+        The return value of doc(), mainly to be used by tools that want to extract the
+        Annotated documentation at runtime.
+        """
+
+        documentation: str
+        """The documentation string passed to doc()."""
+
+    def doc(
+        documentation: str,
+    ) -> DocInfo:
+        """
+        Add documentation to a type annotation inside of Annotated.
+
+        For example:
+
+        >>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
+        """
+        return DocInfo(documentation)

valley/lib/python3.10/site-packages/gitdb/__init__.py

@@ -0,0 +1,38 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Initialize the object database module"""
+
+import sys
+import os
+
+#{ Initialization
+
+
+def _init_externals():
+    """Initialize external projects by putting them into the path"""
+    if 'PYOXIDIZER' not in os.environ:
+        where = os.path.join(os.path.dirname(__file__), 'ext', 'smmap')
+        if os.path.exists(where):
+            sys.path.append(where)
+
+    import smmap
+    del smmap
+    # END handle imports
+
+#} END initialization
+
+_init_externals()
+
+__author__ = "Sebastian Thiel"
+__contact__ = "byronimo@gmail.com"
+__homepage__ = "https://github.com/gitpython-developers/gitdb"
+version_info = (4, 0, 11)
+__version__ = '.'.join(str(i) for i in version_info)
+
+
+# default imports
+from gitdb.base import *
+from gitdb.db import *
+from gitdb.stream import *

valley/lib/python3.10/site-packages/gitdb/db/__init__.py

@@ -0,0 +1,11 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+
+from gitdb.db.base import *
+from gitdb.db.loose import *
+from gitdb.db.mem import *
+from gitdb.db.pack import *
+from gitdb.db.git import *
+from gitdb.db.ref import *

valley/lib/python3.10/site-packages/gitdb/db/base.py

@@ -0,0 +1,278 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Contains implementations of database retrieveing objects"""
+from gitdb.util import (
+    join,
+    LazyMixin,
+    hex_to_bin
+)
+
+from gitdb.utils.encoding import force_text
+from gitdb.exc import (
+    BadObject,
+    AmbiguousObjectName
+)
+
+from itertools import chain
+from functools import reduce
+
+
+__all__ = ('ObjectDBR', 'ObjectDBW', 'FileDBBase', 'CompoundDB', 'CachingDB')
+
+
+class ObjectDBR:
+
+    """Defines an interface for object database lookup.
+    Objects are identified either by their 20 byte bin sha"""
+
+    def __contains__(self, sha):
+        return self.has_obj
+
+    #{ Query Interface
+    def has_object(self, sha):
+        """
+        Whether the object identified by the given 20 bytes
+            binary sha is contained in the database
+
+        :return: True if the object identified by the given 20 bytes
+            binary sha is contained in the database"""
+        raise NotImplementedError("To be implemented in subclass")
+
+    def info(self, sha):
+        """ :return: OInfo instance
+        :param sha: bytes binary sha
+        :raise BadObject:"""
+        raise NotImplementedError("To be implemented in subclass")
+
+    def stream(self, sha):
+        """:return: OStream instance
+        :param sha: 20 bytes binary sha
+        :raise BadObject:"""
+        raise NotImplementedError("To be implemented in subclass")
+
+    def size(self):
+        """:return: amount of objects in this database"""
+        raise NotImplementedError()
+
+    def sha_iter(self):
+        """Return iterator yielding 20 byte shas for all objects in this data base"""
+        raise NotImplementedError()
+
+    #} END query interface
+
+
+class ObjectDBW:
+
+    """Defines an interface to create objects in the database"""
+
+    def __init__(self, *args, **kwargs):
+        self._ostream = None
+
+    #{ Edit Interface
+    def set_ostream(self, stream):
+        """
+        Adjusts the stream to which all data should be sent when storing new objects
+
+        :param stream: if not None, the stream to use, if None the default stream
+            will be used.
+        :return: previously installed stream, or None if there was no override
+        :raise TypeError: if the stream doesn't have the supported functionality"""
+        cstream = self._ostream
+        self._ostream = stream
+        return cstream
+
+    def ostream(self):
+        """
+        Return the output stream
+
+        :return: overridden output stream this instance will write to, or None
+            if it will write to the default stream"""
+        return self._ostream
+
+    def store(self, istream):
+        """
+        Create a new object in the database
+        :return: the input istream object with its sha set to its corresponding value
+
+        :param istream: IStream compatible instance. If its sha is already set
+            to a value, the object will just be stored in the our database format,
+            in which case the input stream is expected to be in object format ( header + contents ).
+        :raise IOError: if data could not be written"""
+        raise NotImplementedError("To be implemented in subclass")
+
+    #} END edit interface
+
+
+class FileDBBase:
+
+    """Provides basic facilities to retrieve files of interest, including
+    caching facilities to help mapping hexsha's to objects"""
+
+    def __init__(self, root_path):
+        """Initialize this instance to look for its files at the given root path
+        All subsequent operations will be relative to this path
+        :raise InvalidDBRoot:
+        **Note:** The base will not perform any accessablity checking as the base
+            might not yet be accessible, but become accessible before the first
+            access."""
+        super().__init__()
+        self._root_path = root_path
+
+    #{ Interface
+    def root_path(self):
+        """:return: path at which this db operates"""
+        return self._root_path
+
+    def db_path(self, rela_path):
+        """
+        :return: the given relative path relative to our database root, allowing
+            to pontentially access datafiles"""
+        return join(self._root_path, force_text(rela_path))
+    #} END interface
+
+
+class CachingDB:
+
+    """A database which uses caches to speed-up access"""
+
+    #{ Interface
+    def update_cache(self, force=False):
+        """
+        Call this method if the underlying data changed to trigger an update
+        of the internal caching structures.
+
+        :param force: if True, the update must be performed. Otherwise the implementation
+            may decide not to perform an update if it thinks nothing has changed.
+        :return: True if an update was performed as something change indeed"""
+
+    # END interface
+
+
+def _databases_recursive(database, output):
+    """Fill output list with database from db, in order. Deals with Loose, Packed
+    and compound databases."""
+    if isinstance(database, CompoundDB):
+        dbs = database.databases()
+        output.extend(db for db in dbs if not isinstance(db, CompoundDB))
+        for cdb in (db for db in dbs if isinstance(db, CompoundDB)):
+            _databases_recursive(cdb, output)
+    else:
+        output.append(database)
+    # END handle database type
+
+
+class CompoundDB(ObjectDBR, LazyMixin, CachingDB):
+
+    """A database which delegates calls to sub-databases.
+
+    Databases are stored in the lazy-loaded _dbs attribute.
+    Define _set_cache_ to update it with your databases"""
+
+    def _set_cache_(self, attr):
+        if attr == '_dbs':
+            self._dbs = list()
+        elif attr == '_db_cache':
+            self._db_cache = dict()
+        else:
+            super()._set_cache_(attr)
+
+    def _db_query(self, sha):
+        """:return: database containing the given 20 byte sha
+        :raise BadObject:"""
+        # most databases use binary representations, prevent converting
+        # it every time a database is being queried
+        try:
+            return self._db_cache[sha]
+        except KeyError:
+            pass
+        # END first level cache
+
+        for db in self._dbs:
+            if db.has_object(sha):
+                self._db_cache[sha] = db
+                return db
+        # END for each database
+        raise BadObject(sha)
+
+    #{ ObjectDBR interface
+
+    def has_object(self, sha):
+        try:
+            self._db_query(sha)
+            return True
+        except BadObject:
+            return False
+        # END handle exceptions
+
+    def info(self, sha):
+        return self._db_query(sha).info(sha)
+
+    def stream(self, sha):
+        return self._db_query(sha).stream(sha)
+
+    def size(self):
+        """:return: total size of all contained databases"""
+        return reduce(lambda x, y: x + y, (db.size() for db in self._dbs), 0)
+
+    def sha_iter(self):
+        return chain(*(db.sha_iter() for db in self._dbs))
+
+    #} END object DBR Interface
+
+    #{ Interface
+
+    def databases(self):
+        """:return: tuple of database instances we use for lookups"""
+        return tuple(self._dbs)
+
+    def update_cache(self, force=False):
+        # something might have changed, clear everything
+        self._db_cache.clear()
+        stat = False
+        for db in self._dbs:
+            if isinstance(db, CachingDB):
+                stat |= db.update_cache(force)
+            # END if is caching db
+        # END for each database to update
+        return stat
+
+    def partial_to_complete_sha_hex(self, partial_hexsha):
+        """
+        :return: 20 byte binary sha1 from the given less-than-40 byte hexsha (bytes or str)
+        :param partial_hexsha: hexsha with less than 40 byte
+        :raise AmbiguousObjectName: """
+        databases = list()
+        _databases_recursive(self, databases)
+        partial_hexsha = force_text(partial_hexsha)
+        len_partial_hexsha = len(partial_hexsha)
+        if len_partial_hexsha % 2 != 0:
+            partial_binsha = hex_to_bin(partial_hexsha + "0")
+        else:
+            partial_binsha = hex_to_bin(partial_hexsha)
+        # END assure successful binary conversion
+
+        candidate = None
+        for db in databases:
+            full_bin_sha = None
+            try:
+                if hasattr(db, 'partial_to_complete_sha_hex'):
+                    full_bin_sha = db.partial_to_complete_sha_hex(partial_hexsha)
+                else:
+                    full_bin_sha = db.partial_to_complete_sha(partial_binsha, len_partial_hexsha)
+                # END handle database type
+            except BadObject:
+                continue
+            # END ignore bad objects
+            if full_bin_sha:
+                if candidate and candidate != full_bin_sha:
+                    raise AmbiguousObjectName(partial_hexsha)
+                candidate = full_bin_sha
+            # END handle candidate
+        # END for each db
+        if not candidate:
+            raise BadObject(partial_binsha)
+        return candidate
+
+    #} END interface

valley/lib/python3.10/site-packages/gitdb/db/git.py

@@ -0,0 +1,85 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+from gitdb.db.base import (
+    CompoundDB,
+    ObjectDBW,
+    FileDBBase
+)
+
+from gitdb.db.loose import LooseObjectDB
+from gitdb.db.pack import PackedDB
+from gitdb.db.ref import ReferenceDB
+
+from gitdb.exc import InvalidDBRoot
+
+import os
+
+__all__ = ('GitDB', )
+
+
+class GitDB(FileDBBase, ObjectDBW, CompoundDB):
+
+    """A git-style object database, which contains all objects in the 'objects'
+    subdirectory
+
+    ``IMPORTANT``: The usage of this implementation is highly discouraged as it fails to release file-handles.
+    This can be a problem with long-running processes and/or big repositories.
+    """
+    # Configuration
+    PackDBCls = PackedDB
+    LooseDBCls = LooseObjectDB
+    ReferenceDBCls = ReferenceDB
+
+    # Directories
+    packs_dir = 'pack'
+    loose_dir = ''
+    alternates_dir = os.path.join('info', 'alternates')
+
+    def __init__(self, root_path):
+        """Initialize ourselves on a git objects directory"""
+        super().__init__(root_path)
+
+    def _set_cache_(self, attr):
+        if attr == '_dbs' or attr == '_loose_db':
+            self._dbs = list()
+            loose_db = None
+            for subpath, dbcls in ((self.packs_dir, self.PackDBCls),
+                                   (self.loose_dir, self.LooseDBCls),
+                                   (self.alternates_dir, self.ReferenceDBCls)):
+                path = self.db_path(subpath)
+                if os.path.exists(path):
+                    self._dbs.append(dbcls(path))
+                    if dbcls is self.LooseDBCls:
+                        loose_db = self._dbs[-1]
+                    # END remember loose db
+                # END check path exists
+            # END for each db type
+
+            # should have at least one subdb
+            if not self._dbs:
+                raise InvalidDBRoot(self.root_path())
+            # END handle error
+
+            # we the first one should have the store method
+            assert loose_db is not None and hasattr(loose_db, 'store'), "First database needs store functionality"
+
+            # finally set the value
+            self._loose_db = loose_db
+        else:
+            super()._set_cache_(attr)
+        # END handle attrs
+
+    #{ ObjectDBW interface
+
+    def store(self, istream):
+        return self._loose_db.store(istream)
+
+    def ostream(self):
+        return self._loose_db.ostream()
+
+    def set_ostream(self, ostream):
+        return self._loose_db.set_ostream(ostream)
+
+    #} END objectdbw interface

valley/lib/python3.10/site-packages/gitdb/db/loose.py

@@ -0,0 +1,254 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+from gitdb.db.base import (
+    FileDBBase,
+    ObjectDBR,
+    ObjectDBW
+)
+
+from gitdb.exc import (
+    BadObject,
+    AmbiguousObjectName
+)
+
+from gitdb.stream import (
+    DecompressMemMapReader,
+    FDCompressedSha1Writer,
+    FDStream,
+    Sha1Writer
+)
+
+from gitdb.base import (
+    OStream,
+    OInfo
+)
+
+from gitdb.util import (
+    file_contents_ro_filepath,
+    ENOENT,
+    hex_to_bin,
+    bin_to_hex,
+    exists,
+    chmod,
+    isfile,
+    remove,
+    rename,
+    dirname,
+    basename,
+    join
+)
+
+from gitdb.fun import (
+    chunk_size,
+    loose_object_header_info,
+    write_object,
+    stream_copy
+)
+
+from gitdb.utils.encoding import force_bytes
+
+import tempfile
+import os
+import sys
+
+
+__all__ = ('LooseObjectDB', )
+
+
+class LooseObjectDB(FileDBBase, ObjectDBR, ObjectDBW):
+
+    """A database which operates on loose object files"""
+
+    # CONFIGURATION
+    # chunks in which data will be copied between streams
+    stream_chunk_size = chunk_size
+
+    # On windows we need to keep it writable, otherwise it cannot be removed
+    # either
+    new_objects_mode = int("444", 8)
+    if os.name == 'nt':
+        new_objects_mode = int("644", 8)
+
+    def __init__(self, root_path):
+        super().__init__(root_path)
+        self._hexsha_to_file = dict()
+        # Additional Flags - might be set to 0 after the first failure
+        # Depending on the root, this might work for some mounts, for others not, which
+        # is why it is per instance
+        self._fd_open_flags = getattr(os, 'O_NOATIME', 0)
+
+    #{ Interface
+    def object_path(self, hexsha):
+        """
+        :return: path at which the object with the given hexsha would be stored,
+            relative to the database root"""
+        return join(hexsha[:2], hexsha[2:])
+
+    def readable_db_object_path(self, hexsha):
+        """
+        :return: readable object path to the object identified by hexsha
+        :raise BadObject: If the object file does not exist"""
+        try:
+            return self._hexsha_to_file[hexsha]
+        except KeyError:
+            pass
+        # END ignore cache misses
+
+        # try filesystem
+        path = self.db_path(self.object_path(hexsha))
+        if exists(path):
+            self._hexsha_to_file[hexsha] = path
+            return path
+        # END handle cache
+        raise BadObject(hexsha)
+
+    def partial_to_complete_sha_hex(self, partial_hexsha):
+        """:return: 20 byte binary sha1 string which matches the given name uniquely
+        :param name: hexadecimal partial name (bytes or ascii string)
+        :raise AmbiguousObjectName:
+        :raise BadObject: """
+        candidate = None
+        for binsha in self.sha_iter():
+            if bin_to_hex(binsha).startswith(force_bytes(partial_hexsha)):
+                # it can't ever find the same object twice
+                if candidate is not None:
+                    raise AmbiguousObjectName(partial_hexsha)
+                candidate = binsha
+        # END for each object
+        if candidate is None:
+            raise BadObject(partial_hexsha)
+        return candidate
+
+    #} END interface
+
+    def _map_loose_object(self, sha):
+        """
+        :return: memory map of that file to allow random read access
+        :raise BadObject: if object could not be located"""
+        db_path = self.db_path(self.object_path(bin_to_hex(sha)))
+        try:
+            return file_contents_ro_filepath(db_path, flags=self._fd_open_flags)
+        except OSError as e:
+            if e.errno != ENOENT:
+                # try again without noatime
+                try:
+                    return file_contents_ro_filepath(db_path)
+                except OSError as new_e:
+                    raise BadObject(sha) from new_e
+                # didn't work because of our flag, don't try it again
+                self._fd_open_flags = 0
+            else:
+                raise BadObject(sha) from e
+            # END handle error
+        # END exception handling
+
+    def set_ostream(self, stream):
+        """:raise TypeError: if the stream does not support the Sha1Writer interface"""
+        if stream is not None and not isinstance(stream, Sha1Writer):
+            raise TypeError("Output stream musst support the %s interface" % Sha1Writer.__name__)
+        return super().set_ostream(stream)
+
+    def info(self, sha):
+        m = self._map_loose_object(sha)
+        try:
+            typ, size = loose_object_header_info(m)
+            return OInfo(sha, typ, size)
+        finally:
+            if hasattr(m, 'close'):
+                m.close()
+        # END assure release of system resources
+
+    def stream(self, sha):
+        m = self._map_loose_object(sha)
+        type, size, stream = DecompressMemMapReader.new(m, close_on_deletion=True)
+        return OStream(sha, type, size, stream)
+
+    def has_object(self, sha):
+        try:
+            self.readable_db_object_path(bin_to_hex(sha))
+            return True
+        except BadObject:
+            return False
+        # END check existence
+
+    def store(self, istream):
+        """note: The sha we produce will be hex by nature"""
+        tmp_path = None
+        writer = self.ostream()
+        if writer is None:
+            # open a tmp file to write the data to
+            fd, tmp_path = tempfile.mkstemp(prefix='obj', dir=self._root_path)
+
+            if istream.binsha is None:
+                writer = FDCompressedSha1Writer(fd)
+            else:
+                writer = FDStream(fd)
+            # END handle direct stream copies
+        # END handle custom writer
+
+        try:
+            try:
+                if istream.binsha is not None:
+                    # copy as much as possible, the actual uncompressed item size might
+                    # be smaller than the compressed version
+                    stream_copy(istream.read, writer.write, sys.maxsize, self.stream_chunk_size)
+                else:
+                    # write object with header, we have to make a new one
+                    write_object(istream.type, istream.size, istream.read, writer.write,
+                                 chunk_size=self.stream_chunk_size)
+                # END handle direct stream copies
+            finally:
+                if tmp_path:
+                    writer.close()
+            # END assure target stream is closed
+        except:
+            if tmp_path:
+                os.remove(tmp_path)
+            raise
+        # END assure tmpfile removal on error
+
+        hexsha = None
+        if istream.binsha:
+            hexsha = istream.hexsha
+        else:
+            hexsha = writer.sha(as_hex=True)
+        # END handle sha
+
+        if tmp_path:
+            obj_path = self.db_path(self.object_path(hexsha))
+            obj_dir = dirname(obj_path)
+            os.makedirs(obj_dir, exist_ok=True)
+            # END handle destination directory
+            # rename onto existing doesn't work on NTFS
+            if isfile(obj_path):
+                remove(tmp_path)
+            else:
+                rename(tmp_path, obj_path)
+            # end rename only if needed
+
+            # make sure its readable for all ! It started out as rw-- tmp file
+            # but needs to be rwrr
+            chmod(obj_path, self.new_objects_mode)
+        # END handle dry_run
+
+        istream.binsha = hex_to_bin(hexsha)
+        return istream
+
+    def sha_iter(self):
+        # find all files which look like an object, extract sha from there
+        for root, dirs, files in os.walk(self.root_path()):
+            root_base = basename(root)
+            if len(root_base) != 2:
+                continue
+
+            for f in files:
+                if len(f) != 38:
+                    continue
+                yield hex_to_bin(root_base + f)
+            # END for each file
+        # END for each walk iteration
+
+    def size(self):
+        return len(tuple(self.sha_iter()))

valley/lib/python3.10/site-packages/gitdb/db/mem.py

@@ -0,0 +1,110 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Contains the MemoryDatabase implementation"""
+from gitdb.db.loose import LooseObjectDB
+from gitdb.db.base import (
+    ObjectDBR,
+    ObjectDBW
+)
+
+from gitdb.base import (
+    OStream,
+    IStream,
+)
+
+from gitdb.exc import (
+    BadObject,
+    UnsupportedOperation
+)
+
+from gitdb.stream import (
+    ZippedStoreShaWriter,
+    DecompressMemMapReader,
+)
+
+from io import BytesIO
+
+__all__ = ("MemoryDB", )
+
+
+class MemoryDB(ObjectDBR, ObjectDBW):
+
+    """A memory database stores everything to memory, providing fast IO and object
+    retrieval. It should be used to buffer results and obtain SHAs before writing
+    it to the actual physical storage, as it allows to query whether object already
+    exists in the target storage before introducing actual IO"""
+
+    def __init__(self):
+        super().__init__()
+        self._db = LooseObjectDB("path/doesnt/matter")
+
+        # maps 20 byte shas to their OStream objects
+        self._cache = dict()
+
+    def set_ostream(self, stream):
+        raise UnsupportedOperation("MemoryDB's always stream into memory")
+
+    def store(self, istream):
+        zstream = ZippedStoreShaWriter()
+        self._db.set_ostream(zstream)
+
+        istream = self._db.store(istream)
+        zstream.close()     # close to flush
+        zstream.seek(0)
+
+        # don't provide a size, the stream is written in object format, hence the
+        # header needs decompression
+        decomp_stream = DecompressMemMapReader(zstream.getvalue(), close_on_deletion=False)
+        self._cache[istream.binsha] = OStream(istream.binsha, istream.type, istream.size, decomp_stream)
+
+        return istream
+
+    def has_object(self, sha):
+        return sha in self._cache
+
+    def info(self, sha):
+        # we always return streams, which are infos as well
+        return self.stream(sha)
+
+    def stream(self, sha):
+        try:
+            ostream = self._cache[sha]
+            # rewind stream for the next one to read
+            ostream.stream.seek(0)
+            return ostream
+        except KeyError as e:
+            raise BadObject(sha) from e
+        # END exception handling
+
+    def size(self):
+        return len(self._cache)
+
+    def sha_iter(self):
+        return self._cache.keys()
+
+    #{ Interface
+    def stream_copy(self, sha_iter, odb):
+        """Copy the streams as identified by sha's yielded by sha_iter into the given odb
+        The streams will be copied directly
+        **Note:** the object will only be written if it did not exist in the target db
+
+        :return: amount of streams actually copied into odb. If smaller than the amount
+            of input shas, one or more objects did already exist in odb"""
+        count = 0
+        for sha in sha_iter:
+            if odb.has_object(sha):
+                continue
+            # END check object existence
+
+            ostream = self.stream(sha)
+            # compressed data including header
+            sio = BytesIO(ostream.stream.data())
+            istream = IStream(ostream.type, ostream.size, sio, sha)
+
+            odb.store(istream)
+            count += 1
+        # END for each sha
+        return count
+    #} END interface

valley/lib/python3.10/site-packages/gitdb/db/pack.py

@@ -0,0 +1,206 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Module containing a database to deal with packs"""
+from gitdb.db.base import (
+    FileDBBase,
+    ObjectDBR,
+    CachingDB
+)
+
+from gitdb.util import LazyMixin
+
+from gitdb.exc import (
+    BadObject,
+    UnsupportedOperation,
+    AmbiguousObjectName
+)
+
+from gitdb.pack import PackEntity
+
+from functools import reduce
+
+import os
+import glob
+
+__all__ = ('PackedDB', )
+
+#{ Utilities
+
+
+class PackedDB(FileDBBase, ObjectDBR, CachingDB, LazyMixin):
+
+    """A database operating on a set of object packs"""
+
+    # sort the priority list every N queries
+    # Higher values are better, performance tests don't show this has
+    # any effect, but it should have one
+    _sort_interval = 500
+
+    def __init__(self, root_path):
+        super().__init__(root_path)
+        # list of lists with three items:
+        # * hits - number of times the pack was hit with a request
+        # * entity - Pack entity instance
+        # * sha_to_index - PackIndexFile.sha_to_index method for direct cache query
+        # self._entities = list()       # lazy loaded list
+        self._hit_count = 0             # amount of hits
+        self._st_mtime = 0              # last modification data of our root path
+
+    def _set_cache_(self, attr):
+        if attr == '_entities':
+            self._entities = list()
+            self.update_cache(force=True)
+        # END handle entities initialization
+
+    def _sort_entities(self):
+        self._entities.sort(key=lambda l: l[0], reverse=True)
+
+    def _pack_info(self, sha):
+        """:return: tuple(entity, index) for an item at the given sha
+        :param sha: 20 or 40 byte sha
+        :raise BadObject:
+        **Note:** This method is not thread-safe, but may be hit in multi-threaded
+            operation. The worst thing that can happen though is a counter that
+            was not incremented, or the list being in wrong order. So we safe
+            the time for locking here, lets see how that goes"""
+        # presort ?
+        if self._hit_count % self._sort_interval == 0:
+            self._sort_entities()
+        # END update sorting
+
+        for item in self._entities:
+            index = item[2](sha)
+            if index is not None:
+                item[0] += 1            # one hit for you
+                self._hit_count += 1    # general hit count
+                return (item[1], index)
+            # END index found in pack
+        # END for each item
+
+        # no hit, see whether we have to update packs
+        # NOTE: considering packs don't change very often, we safe this call
+        # and leave it to the super-caller to trigger that
+        raise BadObject(sha)
+
+    #{ Object DB Read
+
+    def has_object(self, sha):
+        try:
+            self._pack_info(sha)
+            return True
+        except BadObject:
+            return False
+        # END exception handling
+
+    def info(self, sha):
+        entity, index = self._pack_info(sha)
+        return entity.info_at_index(index)
+
+    def stream(self, sha):
+        entity, index = self._pack_info(sha)
+        return entity.stream_at_index(index)
+
+    def sha_iter(self):
+        for entity in self.entities():
+            index = entity.index()
+            sha_by_index = index.sha
+            for index in range(index.size()):
+                yield sha_by_index(index)
+            # END for each index
+        # END for each entity
+
+    def size(self):
+        sizes = [item[1].index().size() for item in self._entities]
+        return reduce(lambda x, y: x + y, sizes, 0)
+
+    #} END object db read
+
+    #{ object db write
+
+    def store(self, istream):
+        """Storing individual objects is not feasible as a pack is designed to
+        hold multiple objects. Writing or rewriting packs for single objects is
+        inefficient"""
+        raise UnsupportedOperation()
+
+    #} END object db write
+
+    #{ Interface
+
+    def update_cache(self, force=False):
+        """
+        Update our cache with the actually existing packs on disk. Add new ones,
+        and remove deleted ones. We keep the unchanged ones
+
+        :param force: If True, the cache will be updated even though the directory
+            does not appear to have changed according to its modification timestamp.
+        :return: True if the packs have been updated so there is new information,
+            False if there was no change to the pack database"""
+        stat = os.stat(self.root_path())
+        if not force and stat.st_mtime <= self._st_mtime:
+            return False
+        # END abort early on no change
+        self._st_mtime = stat.st_mtime
+
+        # packs are supposed to be prefixed with pack- by git-convention
+        # get all pack files, figure out what changed
+        pack_files = set(glob.glob(os.path.join(self.root_path(), "pack-*.pack")))
+        our_pack_files = {item[1].pack().path() for item in self._entities}
+
+        # new packs
+        for pack_file in (pack_files - our_pack_files):
+            # init the hit-counter/priority with the size, a good measure for hit-
+            # probability. Its implemented so that only 12 bytes will be read
+            entity = PackEntity(pack_file)
+            self._entities.append([entity.pack().size(), entity, entity.index().sha_to_index])
+        # END for each new packfile
+
+        # removed packs
+        for pack_file in (our_pack_files - pack_files):
+            del_index = -1
+            for i, item in enumerate(self._entities):
+                if item[1].pack().path() == pack_file:
+                    del_index = i
+                    break
+                # END found index
+            # END for each entity
+            assert del_index != -1
+            del(self._entities[del_index])
+        # END for each removed pack
+
+        # reinitialize prioritiess
+        self._sort_entities()
+        return True
+
+    def entities(self):
+        """:return: list of pack entities operated upon by this database"""
+        return [item[1] for item in self._entities]
+
+    def partial_to_complete_sha(self, partial_binsha, canonical_length):
+        """:return: 20 byte sha as inferred by the given partial binary sha
+        :param partial_binsha: binary sha with less than 20 bytes
+        :param canonical_length: length of the corresponding canonical representation.
+            It is required as binary sha's cannot display whether the original hex sha
+            had an odd or even number of characters
+        :raise AmbiguousObjectName:
+        :raise BadObject: """
+        candidate = None
+        for item in self._entities:
+            item_index = item[1].index().partial_sha_to_index(partial_binsha, canonical_length)
+            if item_index is not None:
+                sha = item[1].index().sha(item_index)
+                if candidate and candidate != sha:
+                    raise AmbiguousObjectName(partial_binsha)
+                candidate = sha
+            # END handle full sha could be found
+        # END for each entity
+
+        if candidate:
+            return candidate
+
+        # still not found ?
+        raise BadObject(partial_binsha)
+
+    #} END interface

valley/lib/python3.10/site-packages/gitdb/test/__init__.py

@@ -0,0 +1,4 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/

valley/lib/python3.10/site-packages/gitdb/test/lib.py

@@ -0,0 +1,192 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Utilities used in ODB testing"""
+from gitdb import OStream
+
+import sys
+import random
+from array import array
+
+from io import BytesIO
+
+import glob
+import unittest
+import tempfile
+import shutil
+import os
+import gc
+import logging
+from functools import wraps
+
+
+#{ Bases
+
+class TestBase(unittest.TestCase):
+    """Base class for all tests
+
+    TestCase providing access to readonly repositories using the following member variables.
+
+    * gitrepopath
+
+     * read-only base path of the git source repository, i.e. .../git/.git
+    """
+
+    #{ Invvariants
+    k_env_git_repo = "GITDB_TEST_GIT_REPO_BASE"
+    #} END invariants
+
+    @classmethod
+    def setUpClass(cls):
+        try:
+            super().setUpClass()
+        except AttributeError:
+            pass
+
+        cls.gitrepopath = os.environ.get(cls.k_env_git_repo)
+        if not cls.gitrepopath:
+            logging.info(
+                "You can set the %s environment variable to a .git repository of your choice - defaulting to the gitdb repository", cls.k_env_git_repo)
+            ospd = os.path.dirname
+            cls.gitrepopath = os.path.join(ospd(ospd(ospd(__file__))), '.git')
+        # end assure gitrepo is set
+        assert cls.gitrepopath.endswith('.git')
+
+
+#} END bases
+
+#{ Decorators
+
+def with_rw_directory(func):
+    """Create a temporary directory which can be written to, remove it if the
+    test succeeds, but leave it otherwise to aid additional debugging"""
+
+    def wrapper(self):
+        path = tempfile.mktemp(prefix=func.__name__)
+        os.mkdir(path)
+        keep = False
+        try:
+            try:
+                return func(self, path)
+            except Exception:
+                sys.stderr.write(f"Test {type(self).__name__}.{func.__name__} failed, output is at {path!r}\n")
+                keep = True
+                raise
+        finally:
+            # Need to collect here to be sure all handles have been closed. It appears
+            # a windows-only issue. In fact things should be deleted, as well as
+            # memory maps closed, once objects go out of scope. For some reason
+            # though this is not the case here unless we collect explicitly.
+            if not keep:
+                gc.collect()
+                shutil.rmtree(path)
+        # END handle exception
+    # END wrapper
+
+    wrapper.__name__ = func.__name__
+    return wrapper
+
+
+def with_packs_rw(func):
+    """Function that provides a path into which the packs for testing should be
+    copied. Will pass on the path to the actual function afterwards"""
+
+    def wrapper(self, path):
+        src_pack_glob = fixture_path('packs/*')
+        copy_files_globbed(src_pack_glob, path, hard_link_ok=True)
+        return func(self, path)
+    # END wrapper
+
+    wrapper.__name__ = func.__name__
+    return wrapper
+
+#} END decorators
+
+#{ Routines
+
+
+def fixture_path(relapath=''):
+    """:return: absolute path into the fixture directory
+    :param relapath: relative path into the fixtures directory, or ''
+        to obtain the fixture directory itself"""
+    return os.path.join(os.path.dirname(__file__), 'fixtures', relapath)
+
+
+def copy_files_globbed(source_glob, target_dir, hard_link_ok=False):
+    """Copy all files found according to the given source glob into the target directory
+    :param hard_link_ok: if True, hard links will be created if possible. Otherwise
+        the files will be copied"""
+    for src_file in glob.glob(source_glob):
+        if hard_link_ok and hasattr(os, 'link'):
+            target = os.path.join(target_dir, os.path.basename(src_file))
+            try:
+                os.link(src_file, target)
+            except OSError:
+                shutil.copy(src_file, target_dir)
+            # END handle cross device links ( and resulting failure )
+        else:
+            shutil.copy(src_file, target_dir)
+        # END try hard link
+    # END for each file to copy
+
+
+def make_bytes(size_in_bytes, randomize=False):
+    """:return: string with given size in bytes
+    :param randomize: try to produce a very random stream"""
+    actual_size = size_in_bytes // 4
+    producer = range(actual_size)
+    if randomize:
+        producer = list(producer)
+        random.shuffle(producer)
+    # END randomize
+    a = array('i', producer)
+    return a.tobytes()
+
+
+def make_object(type, data):
+    """:return: bytes resembling an uncompressed object"""
+    odata = "blob %i\0" % len(data)
+    return odata.encode("ascii") + data
+
+
+def make_memory_file(size_in_bytes, randomize=False):
+    """:return: tuple(size_of_stream, stream)
+    :param randomize: try to produce a very random stream"""
+    d = make_bytes(size_in_bytes, randomize)
+    return len(d), BytesIO(d)
+
+#} END routines
+
+#{ Stream Utilities
+
+
+class DummyStream:
+
+    def __init__(self):
+        self.was_read = False
+        self.bytes = 0
+        self.closed = False
+
+    def read(self, size):
+        self.was_read = True
+        self.bytes = size
+
+    def close(self):
+        self.closed = True
+
+    def _assert(self):
+        assert self.was_read
+
+
+class DeriveTest(OStream):
+
+    def __init__(self, sha, type, size, stream, *args, **kwargs):
+        self.myarg = kwargs.pop('myarg')
+        self.args = args
+
+    def _assert(self):
+        assert self.args
+        assert self.myarg
+
+#} END stream utilitiess

valley/lib/python3.10/site-packages/gitdb/test/test_base.py

@@ -0,0 +1,105 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Test for object db"""
+from gitdb.test.lib import (
+    TestBase,
+    DummyStream,
+    DeriveTest,
+)
+
+from gitdb import (
+    OInfo,
+    OPackInfo,
+    ODeltaPackInfo,
+    OStream,
+    OPackStream,
+    ODeltaPackStream,
+    IStream
+)
+from gitdb.util import (
+    NULL_BIN_SHA
+)
+
+from gitdb.typ import (
+    str_blob_type
+)
+
+
+class TestBaseTypes(TestBase):
+
+    def test_streams(self):
+        # test info
+        sha = NULL_BIN_SHA
+        s = 20
+        blob_id = 3
+
+        info = OInfo(sha, str_blob_type, s)
+        assert info.binsha == sha
+        assert info.type == str_blob_type
+        assert info.type_id == blob_id
+        assert info.size == s
+
+        # test pack info
+        # provides type_id
+        pinfo = OPackInfo(0, blob_id, s)
+        assert pinfo.type == str_blob_type
+        assert pinfo.type_id == blob_id
+        assert pinfo.pack_offset == 0
+
+        dpinfo = ODeltaPackInfo(0, blob_id, s, sha)
+        assert dpinfo.type == str_blob_type
+        assert dpinfo.type_id == blob_id
+        assert dpinfo.delta_info == sha
+        assert dpinfo.pack_offset == 0
+
+        # test ostream
+        stream = DummyStream()
+        ostream = OStream(*(info + (stream, )))
+        assert ostream.stream is stream
+        ostream.read(15)
+        stream._assert()
+        assert stream.bytes == 15
+        ostream.read(20)
+        assert stream.bytes == 20
+
+        # test packstream
+        postream = OPackStream(*(pinfo + (stream, )))
+        assert postream.stream is stream
+        postream.read(10)
+        stream._assert()
+        assert stream.bytes == 10
+
+        # test deltapackstream
+        dpostream = ODeltaPackStream(*(dpinfo + (stream, )))
+        dpostream.stream is stream
+        dpostream.read(5)
+        stream._assert()
+        assert stream.bytes == 5
+
+        # derive with own args
+        DeriveTest(sha, str_blob_type, s, stream, 'mine', myarg=3)._assert()
+
+        # test istream
+        istream = IStream(str_blob_type, s, stream)
+        assert istream.binsha == None
+        istream.binsha = sha
+        assert istream.binsha == sha
+
+        assert len(istream.binsha) == 20
+        assert len(istream.hexsha) == 40
+
+        assert istream.size == s
+        istream.size = s * 2
+        istream.size == s * 2
+        assert istream.type == str_blob_type
+        istream.type = "something"
+        assert istream.type == "something"
+        assert istream.stream is stream
+        istream.stream = None
+        assert istream.stream is None
+
+        assert istream.error is None
+        istream.error = Exception()
+        assert isinstance(istream.error, Exception)

valley/lib/python3.10/site-packages/gitdb/test/test_example.py

@@ -0,0 +1,43 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Module with examples from the tutorial section of the docs"""
+import os
+from gitdb.test.lib import TestBase
+from gitdb import IStream
+from gitdb.db import LooseObjectDB
+
+from io import BytesIO
+
+
+class TestExamples(TestBase):
+
+    def test_base(self):
+        ldb = LooseObjectDB(os.path.join(self.gitrepopath, 'objects'))
+
+        for sha1 in ldb.sha_iter():
+            oinfo = ldb.info(sha1)
+            ostream = ldb.stream(sha1)
+            assert oinfo[:3] == ostream[:3]
+
+            assert len(ostream.read()) == ostream.size
+            assert ldb.has_object(oinfo.binsha)
+        # END for each sha in database
+        # assure we close all files
+        try:
+            del(ostream)
+            del(oinfo)
+        except UnboundLocalError:
+            pass
+        # END ignore exception if there are no loose objects
+
+        data = b"my data"
+        istream = IStream("blob", len(data), BytesIO(data))
+
+        # the object does not yet have a sha
+        assert istream.binsha is None
+        ldb.store(istream)
+        # now the sha is set
+        assert len(istream.binsha) == 20
+        assert ldb.has_object(istream.binsha)

valley/lib/python3.10/site-packages/gitdb/test/test_pack.py

@@ -0,0 +1,249 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Test everything about packs reading and writing"""
+from gitdb.test.lib import (
+    TestBase,
+    with_rw_directory,
+    fixture_path
+)
+
+from gitdb.stream import DeltaApplyReader
+
+from gitdb.pack import (
+    PackEntity,
+    PackIndexFile,
+    PackFile
+)
+
+from gitdb.base import (
+    OInfo,
+    OStream,
+)
+
+from gitdb.fun import delta_types
+from gitdb.exc import UnsupportedOperation
+from gitdb.util import to_bin_sha
+
+import pytest
+
+import os
+import tempfile
+
+
+#{ Utilities
+def bin_sha_from_filename(filename):
+    return to_bin_sha(os.path.splitext(os.path.basename(filename))[0][5:])
+#} END utilities
+
+
+class TestPack(TestBase):
+
+    packindexfile_v1 = (fixture_path('packs/pack-c0438c19fb16422b6bbcce24387b3264416d485b.idx'), 1, 67)
+    packindexfile_v2 = (fixture_path('packs/pack-11fdfa9e156ab73caae3b6da867192221f2089c2.idx'), 2, 30)
+    packindexfile_v2_3_ascii = (fixture_path('packs/pack-a2bf8e71d8c18879e499335762dd95119d93d9f1.idx'), 2, 42)
+    packfile_v2_1 = (fixture_path('packs/pack-c0438c19fb16422b6bbcce24387b3264416d485b.pack'), 2, packindexfile_v1[2])
+    packfile_v2_2 = (fixture_path('packs/pack-11fdfa9e156ab73caae3b6da867192221f2089c2.pack'), 2, packindexfile_v2[2])
+    packfile_v2_3_ascii = (
+        fixture_path('packs/pack-a2bf8e71d8c18879e499335762dd95119d93d9f1.pack'), 2, packindexfile_v2_3_ascii[2])
+
+    def _assert_index_file(self, index, version, size):
+        assert index.packfile_checksum() != index.indexfile_checksum()
+        assert len(index.packfile_checksum()) == 20
+        assert len(index.indexfile_checksum()) == 20
+        assert index.version() == version
+        assert index.size() == size
+        assert len(index.offsets()) == size
+
+        # get all data of all objects
+        for oidx in range(index.size()):
+            sha = index.sha(oidx)
+            assert oidx == index.sha_to_index(sha)
+
+            entry = index.entry(oidx)
+            assert len(entry) == 3
+
+            assert entry[0] == index.offset(oidx)
+            assert entry[1] == sha
+            assert entry[2] == index.crc(oidx)
+
+            # verify partial sha
+            for l in (4, 8, 11, 17, 20):
+                assert index.partial_sha_to_index(sha[:l], l * 2) == oidx
+
+        # END for each object index in indexfile
+        self.assertRaises(ValueError, index.partial_sha_to_index, "\0", 2)
+
+    def _assert_pack_file(self, pack, version, size):
+        assert pack.version() == 2
+        assert pack.size() == size
+        assert len(pack.checksum()) == 20
+
+        num_obj = 0
+        for obj in pack.stream_iter():
+            num_obj += 1
+            info = pack.info(obj.pack_offset)
+            stream = pack.stream(obj.pack_offset)
+
+            assert info.pack_offset == stream.pack_offset
+            assert info.type_id == stream.type_id
+            assert hasattr(stream, 'read')
+
+            # it should be possible to read from both streams
+            assert obj.read() == stream.read()
+
+            streams = pack.collect_streams(obj.pack_offset)
+            assert streams
+
+            # read the stream
+            try:
+                dstream = DeltaApplyReader.new(streams)
+            except ValueError:
+                # ignore these, old git versions use only ref deltas,
+                # which we haven't resolved ( as we are without an index )
+                # Also ignore non-delta streams
+                continue
+            # END get deltastream
+
+            # read all
+            data = dstream.read()
+            assert len(data) == dstream.size
+
+            # test seek
+            dstream.seek(0)
+            assert dstream.read() == data
+
+            # read chunks
+            # NOTE: the current implementation is safe, it basically transfers
+            # all calls to the underlying memory map
+
+        # END for each object
+        assert num_obj == size
+
+    def test_pack_index(self):
+        # check version 1 and 2
+        for indexfile, version, size in (self.packindexfile_v1, self.packindexfile_v2):
+            index = PackIndexFile(indexfile)
+            self._assert_index_file(index, version, size)
+        # END run tests
+
+    def test_pack(self):
+        # there is this special version 3, but apparently its like 2 ...
+        for packfile, version, size in (self.packfile_v2_3_ascii, self.packfile_v2_1, self.packfile_v2_2):
+            pack = PackFile(packfile)
+            self._assert_pack_file(pack, version, size)
+        # END for each pack to test
+
+    @with_rw_directory
+    def test_pack_entity(self, rw_dir):
+        pack_objs = list()
+        for packinfo, indexinfo in ((self.packfile_v2_1, self.packindexfile_v1),
+                                    (self.packfile_v2_2, self.packindexfile_v2),
+                                    (self.packfile_v2_3_ascii, self.packindexfile_v2_3_ascii)):
+            packfile, version, size = packinfo
+            indexfile, version, size = indexinfo
+            entity = PackEntity(packfile)
+            assert entity.pack().path() == packfile
+            assert entity.index().path() == indexfile
+            pack_objs.extend(entity.stream_iter())
+
+            count = 0
+            for info, stream in zip(entity.info_iter(), entity.stream_iter()):
+                count += 1
+                assert info.binsha == stream.binsha
+                assert len(info.binsha) == 20
+                assert info.type_id == stream.type_id
+                assert info.size == stream.size
+
+                # we return fully resolved items, which is implied by the sha centric access
+                assert not info.type_id in delta_types
+
+                # try all calls
+                assert len(entity.collect_streams(info.binsha))
+                oinfo = entity.info(info.binsha)
+                assert isinstance(oinfo, OInfo)
+                assert oinfo.binsha is not None
+                ostream = entity.stream(info.binsha)
+                assert isinstance(ostream, OStream)
+                assert ostream.binsha is not None
+
+                # verify the stream
+                try:
+                    assert entity.is_valid_stream(info.binsha, use_crc=True)
+                except UnsupportedOperation:
+                    pass
+                # END ignore version issues
+                assert entity.is_valid_stream(info.binsha, use_crc=False)
+            # END for each info, stream tuple
+            assert count == size
+
+        # END for each entity
+
+        # pack writing - write all packs into one
+        # index path can be None
+        pack_path1 = tempfile.mktemp('', "pack1", rw_dir)
+        pack_path2 = tempfile.mktemp('', "pack2", rw_dir)
+        index_path = tempfile.mktemp('', 'index', rw_dir)
+        iteration = 0
+
+        def rewind_streams():
+            for obj in pack_objs:
+                obj.stream.seek(0)
+        # END utility
+        for ppath, ipath, num_obj in zip((pack_path1, pack_path2),
+                                         (index_path, None),
+                                         (len(pack_objs), None)):
+            iwrite = None
+            if ipath:
+                ifile = open(ipath, 'wb')
+                iwrite = ifile.write
+            # END handle ip
+
+            # make sure we rewind the streams ... we work on the same objects over and over again
+            if iteration > 0:
+                rewind_streams()
+            # END rewind streams
+            iteration += 1
+
+            with open(ppath, 'wb') as pfile:
+                pack_sha, index_sha = PackEntity.write_pack(pack_objs, pfile.write, iwrite, object_count=num_obj)
+            assert os.path.getsize(ppath) > 100
+
+            # verify pack
+            pf = PackFile(ppath)
+            assert pf.size() == len(pack_objs)
+            assert pf.version() == PackFile.pack_version_default
+            assert pf.checksum() == pack_sha
+            pf.close()
+
+            # verify index
+            if ipath is not None:
+                ifile.close()
+                assert os.path.getsize(ipath) > 100
+                idx = PackIndexFile(ipath)
+                assert idx.version() == PackIndexFile.index_version_default
+                assert idx.packfile_checksum() == pack_sha
+                assert idx.indexfile_checksum() == index_sha
+                assert idx.size() == len(pack_objs)
+                idx.close()
+            # END verify files exist
+        # END for each packpath, indexpath pair
+
+        # verify the packs thoroughly
+        rewind_streams()
+        entity = PackEntity.create(pack_objs, rw_dir)
+        count = 0
+        for info in entity.info_iter():
+            count += 1
+            for use_crc in range(2):
+                assert entity.is_valid_stream(info.binsha, use_crc)
+            # END for each crc mode
+        # END for each info
+        assert count == len(pack_objs)
+        entity.close()
+
+    def test_pack_64(self):
+        # TODO: hex-edit a pack helping us to verify that we can handle 64 byte offsets
+        # of course without really needing such a huge pack
+        pytest.skip('not implemented')

valley/lib/python3.10/site-packages/gitdb/test/test_stream.py

@@ -0,0 +1,164 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Test for object db"""
+
+from gitdb.test.lib import (
+    TestBase,
+    DummyStream,
+    make_bytes,
+    make_object,
+    fixture_path
+)
+
+from gitdb import (
+    DecompressMemMapReader,
+    FDCompressedSha1Writer,
+    LooseObjectDB,
+    Sha1Writer,
+    MemoryDB,
+    IStream,
+)
+from gitdb.util import hex_to_bin
+
+import zlib
+from gitdb.typ import (
+    str_blob_type
+)
+
+import tempfile
+import os
+from io import BytesIO
+
+
+class TestStream(TestBase):
+
+    """Test stream classes"""
+
+    data_sizes = (15, 10000, 1000 * 1024 + 512)
+
+    def _assert_stream_reader(self, stream, cdata, rewind_stream=lambda s: None):
+        """Make stream tests - the orig_stream is seekable, allowing it to be
+        rewound and reused
+        :param cdata: the data we expect to read from stream, the contents
+        :param rewind_stream: function called to rewind the stream to make it ready
+            for reuse"""
+        ns = 10
+        assert len(cdata) > ns - 1, "Data must be larger than %i, was %i" % (ns, len(cdata))
+
+        # read in small steps
+        ss = len(cdata) // ns
+        for i in range(ns):
+            data = stream.read(ss)
+            chunk = cdata[i * ss:(i + 1) * ss]
+            assert data == chunk
+        # END for each step
+        rest = stream.read()
+        if rest:
+            assert rest == cdata[-len(rest):]
+        # END handle rest
+
+        if isinstance(stream, DecompressMemMapReader):
+            assert len(stream.data()) == stream.compressed_bytes_read()
+        # END handle special type
+
+        rewind_stream(stream)
+
+        # read everything
+        rdata = stream.read()
+        assert rdata == cdata
+
+        if isinstance(stream, DecompressMemMapReader):
+            assert len(stream.data()) == stream.compressed_bytes_read()
+        # END handle special type
+
+    def test_decompress_reader(self):
+        for close_on_deletion in range(2):
+            for with_size in range(2):
+                for ds in self.data_sizes:
+                    cdata = make_bytes(ds, randomize=False)
+
+                    # zdata = zipped actual data
+                    # cdata = original content data
+
+                    # create reader
+                    if with_size:
+                        # need object data
+                        zdata = zlib.compress(make_object(str_blob_type, cdata))
+                        typ, size, reader = DecompressMemMapReader.new(zdata, close_on_deletion)
+                        assert size == len(cdata)
+                        assert typ == str_blob_type
+
+                        # even if we don't set the size, it will be set automatically on first read
+                        test_reader = DecompressMemMapReader(zdata, close_on_deletion=False)
+                        assert test_reader._s == len(cdata)
+                    else:
+                        # here we need content data
+                        zdata = zlib.compress(cdata)
+                        reader = DecompressMemMapReader(zdata, close_on_deletion, len(cdata))
+                        assert reader._s == len(cdata)
+                    # END get reader
+
+                    self._assert_stream_reader(reader, cdata, lambda r: r.seek(0))
+
+                    # put in a dummy stream for closing
+                    dummy = DummyStream()
+                    reader._m = dummy
+
+                    assert not dummy.closed
+                    del(reader)
+                    assert dummy.closed == close_on_deletion
+                # END for each datasize
+            # END whether size should be used
+        # END whether stream should be closed when deleted
+
+    def test_sha_writer(self):
+        writer = Sha1Writer()
+        assert 2 == writer.write(b"hi")
+        assert len(writer.sha(as_hex=1)) == 40
+        assert len(writer.sha(as_hex=0)) == 20
+
+        # make sure it does something ;)
+        prev_sha = writer.sha()
+        writer.write(b"hi again")
+        assert writer.sha() != prev_sha
+
+    def test_compressed_writer(self):
+        for ds in self.data_sizes:
+            fd, path = tempfile.mkstemp()
+            ostream = FDCompressedSha1Writer(fd)
+            data = make_bytes(ds, randomize=False)
+
+            # for now, just a single write, code doesn't care about chunking
+            assert len(data) == ostream.write(data)
+            ostream.close()
+
+            # its closed already
+            self.assertRaises(OSError, os.close, fd)
+
+            # read everything back, compare to data we zip
+            fd = os.open(path, os.O_RDONLY | getattr(os, 'O_BINARY', 0))
+            written_data = os.read(fd, os.path.getsize(path))
+            assert len(written_data) == os.path.getsize(path)
+            os.close(fd)
+            assert written_data == zlib.compress(data, 1)   # best speed
+
+            os.remove(path)
+        # END for each os
+
+    def test_decompress_reader_special_case(self):
+        odb = LooseObjectDB(fixture_path('objects'))
+        mdb = MemoryDB()
+        for sha in (b'888401851f15db0eed60eb1bc29dec5ddcace911',
+                    b'7bb839852ed5e3a069966281bb08d50012fb309b',):
+            ostream = odb.stream(hex_to_bin(sha))
+
+            # if there is a bug, we will be missing one byte exactly !
+            data = ostream.read()
+            assert len(data) == ostream.size
+
+            # Putting it back in should yield nothing new - after all, we have
+            dump = mdb.store(IStream(ostream.type, ostream.size, BytesIO(data)))
+            assert dump.hexsha == sha
+        # end for each loose object sha to test

valley/lib/python3.10/site-packages/gitdb/test/test_util.py

@@ -0,0 +1,100 @@
+# Copyright (C) 2010, 2011 Sebastian Thiel (byronimo@gmail.com) and contributors
+#
+# This module is part of GitDB and is released under
+# the New BSD License: https://opensource.org/license/bsd-3-clause/
+"""Test for object db"""
+import tempfile
+import os
+
+from gitdb.test.lib import TestBase
+from gitdb.util import (
+    to_hex_sha,
+    to_bin_sha,
+    NULL_HEX_SHA,
+    LockedFD
+)
+
+
+class TestUtils(TestBase):
+
+    def test_basics(self):
+        assert to_hex_sha(NULL_HEX_SHA) == NULL_HEX_SHA
+        assert len(to_bin_sha(NULL_HEX_SHA)) == 20
+        assert to_hex_sha(to_bin_sha(NULL_HEX_SHA)) == NULL_HEX_SHA.encode("ascii")
+
+    def _cmp_contents(self, file_path, data):
+        # raise if data from file at file_path
+        # does not match data string
+        with open(file_path, "rb") as fp:
+            assert fp.read() == data.encode("ascii")
+
+    def test_lockedfd(self):
+        my_file = tempfile.mktemp()
+        orig_data = "hello"
+        new_data = "world"
+        with open(my_file, "wb") as my_file_fp:
+            my_file_fp.write(orig_data.encode("ascii"))
+
+        try:
+            lfd = LockedFD(my_file)
+            lockfilepath = lfd._lockfilepath()
+
+            # cannot end before it was started
+            self.assertRaises(AssertionError, lfd.rollback)
+            self.assertRaises(AssertionError, lfd.commit)
+
+            # open for writing
+            assert not os.path.isfile(lockfilepath)
+            wfd = lfd.open(write=True)
+            assert lfd._fd is wfd
+            assert os.path.isfile(lockfilepath)
+
+            # write data and fail
+            os.write(wfd, new_data.encode("ascii"))
+            lfd.rollback()
+            assert lfd._fd is None
+            self._cmp_contents(my_file, orig_data)
+            assert not os.path.isfile(lockfilepath)
+
+            # additional call doesn't fail
+            lfd.commit()
+            lfd.rollback()
+
+            # test reading
+            lfd = LockedFD(my_file)
+            rfd = lfd.open(write=False)
+            assert os.read(rfd, len(orig_data)) == orig_data.encode("ascii")
+
+            assert os.path.isfile(lockfilepath)
+            # deletion rolls back
+            del(lfd)
+            assert not os.path.isfile(lockfilepath)
+
+            # write data - concurrently
+            lfd = LockedFD(my_file)
+            olfd = LockedFD(my_file)
+            assert not os.path.isfile(lockfilepath)
+            wfdstream = lfd.open(write=True, stream=True)       # this time as stream
+            assert os.path.isfile(lockfilepath)
+            # another one fails
+            self.assertRaises(IOError, olfd.open)
+
+            wfdstream.write(new_data.encode("ascii"))
+            lfd.commit()
+            assert not os.path.isfile(lockfilepath)
+            self._cmp_contents(my_file, new_data)
+
+            # could test automatic _end_writing on destruction
+        finally:
+            os.remove(my_file)
+        # END final cleanup
+
+        # try non-existing file for reading
+        lfd = LockedFD(tempfile.mktemp())
+        try:
+            lfd.open(write=False)
+        except OSError:
+            assert not os.path.exists(lfd._lockfilepath())
+        else:
+            self.fail("expected OSError")
+        # END handle exceptions

valley/lib/python3.10/site-packages/gitdb/utils/encoding.py

@@ -0,0 +1,18 @@
+def force_bytes(data, encoding="utf-8"):
+    if isinstance(data, bytes):
+        return data
+
+    if isinstance(data, str):
+        return data.encode(encoding)
+
+    return data
+
+
+def force_text(data, encoding="utf-8"):
+    if isinstance(data, str):
+        return data
+
+    if isinstance(data, bytes):
+        return data.decode(encoding)
+
+    return str(data, encoding)

valley/lib/python3.10/site-packages/huggingface_hub/__init__.py

@@ -0,0 +1,968 @@
+# Copyright 2020 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# ***********
+# `huggingface_hub` init has 2 modes:
+# - Normal usage:
+#       If imported to use it, all modules and functions are lazy-loaded. This means
+#       they exist at top level in module but are imported only the first time they are
+#       used. This way, `from huggingface_hub import something` will import `something`
+#       quickly without the hassle of importing all the features from `huggingface_hub`.
+# - Static check:
+#       If statically analyzed, all modules and functions are loaded normally. This way
+#       static typing check works properly as well as autocomplete in text editors and
+#       IDEs.
+#
+# The static model imports are done inside the `if TYPE_CHECKING:` statement at
+# the bottom of this file. Since module/functions imports are duplicated, it is
+# mandatory to make sure to add them twice when adding one. This is checked in the
+# `make quality` command.
+#
+# To update the static imports, please run the following command and commit the changes.
+# ```
+# # Use script
+# python utils/check_static_imports.py --update-file
+#
+# # Or run style on codebase
+# make style
+# ```
+#
+# ***********
+# Lazy loader vendored from https://github.com/scientific-python/lazy_loader
+import importlib
+import os
+import sys
+from typing import TYPE_CHECKING
+
+
+__version__ = "0.25.1"
+
+# Alphabetical order of definitions is ensured in tests
+# WARNING: any comment added in this dictionary definition will be lost when
+# re-generating the file !
+_SUBMOD_ATTRS = {
+    "_commit_scheduler": [
+        "CommitScheduler",
+    ],
+    "_inference_endpoints": [
+        "InferenceEndpoint",
+        "InferenceEndpointError",
+        "InferenceEndpointStatus",
+        "InferenceEndpointTimeoutError",
+        "InferenceEndpointType",
+    ],
+    "_login": [
+        "interpreter_login",
+        "login",
+        "logout",
+        "notebook_login",
+    ],
+    "_multi_commits": [
+        "MultiCommitException",
+        "plan_multi_commits",
+    ],
+    "_snapshot_download": [
+        "snapshot_download",
+    ],
+    "_space_api": [
+        "SpaceHardware",
+        "SpaceRuntime",
+        "SpaceStage",
+        "SpaceStorage",
+        "SpaceVariable",
+    ],
+    "_tensorboard_logger": [
+        "HFSummaryWriter",
+    ],
+    "_webhooks_payload": [
+        "WebhookPayload",
+        "WebhookPayloadComment",
+        "WebhookPayloadDiscussion",
+        "WebhookPayloadDiscussionChanges",
+        "WebhookPayloadEvent",
+        "WebhookPayloadMovedTo",
+        "WebhookPayloadRepo",
+        "WebhookPayloadUrl",
+        "WebhookPayloadWebhook",
+    ],
+    "_webhooks_server": [
+        "WebhooksServer",
+        "webhook_endpoint",
+    ],
+    "community": [
+        "Discussion",
+        "DiscussionComment",
+        "DiscussionCommit",
+        "DiscussionEvent",
+        "DiscussionStatusChange",
+        "DiscussionTitleChange",
+        "DiscussionWithDetails",
+    ],
+    "constants": [
+        "CONFIG_NAME",
+        "FLAX_WEIGHTS_NAME",
+        "HUGGINGFACE_CO_URL_HOME",
+        "HUGGINGFACE_CO_URL_TEMPLATE",
+        "PYTORCH_WEIGHTS_NAME",
+        "REPO_TYPE_DATASET",
+        "REPO_TYPE_MODEL",
+        "REPO_TYPE_SPACE",
+        "TF2_WEIGHTS_NAME",
+        "TF_WEIGHTS_NAME",
+    ],
+    "fastai_utils": [
+        "_save_pretrained_fastai",
+        "from_pretrained_fastai",
+        "push_to_hub_fastai",
+    ],
+    "file_download": [
+        "HfFileMetadata",
+        "_CACHED_NO_EXIST",
+        "cached_download",
+        "get_hf_file_metadata",
+        "hf_hub_download",
+        "hf_hub_url",
+        "try_to_load_from_cache",
+    ],
+    "hf_api": [
+        "Collection",
+        "CollectionItem",
+        "CommitInfo",
+        "CommitOperation",
+        "CommitOperationAdd",
+        "CommitOperationCopy",
+        "CommitOperationDelete",
+        "DatasetInfo",
+        "GitCommitInfo",
+        "GitRefInfo",
+        "GitRefs",
+        "HfApi",
+        "ModelInfo",
+        "RepoUrl",
+        "SpaceInfo",
+        "User",
+        "UserLikes",
+        "WebhookInfo",
+        "WebhookWatchedItem",
+        "accept_access_request",
+        "add_collection_item",
+        "add_space_secret",
+        "add_space_variable",
+        "auth_check",
+        "cancel_access_request",
+        "change_discussion_status",
+        "comment_discussion",
+        "create_branch",
+        "create_collection",
+        "create_commit",
+        "create_commits_on_pr",
+        "create_discussion",
+        "create_inference_endpoint",
+        "create_pull_request",
+        "create_repo",
+        "create_tag",
+        "create_webhook",
+        "dataset_info",
+        "delete_branch",
+        "delete_collection",
+        "delete_collection_item",
+        "delete_file",
+        "delete_folder",
+        "delete_inference_endpoint",
+        "delete_repo",
+        "delete_space_secret",
+        "delete_space_storage",
+        "delete_space_variable",
+        "delete_tag",
+        "delete_webhook",
+        "disable_webhook",
+        "duplicate_space",
+        "edit_discussion_comment",
+        "enable_webhook",
+        "file_exists",
+        "get_collection",
+        "get_dataset_tags",
+        "get_discussion_details",
+        "get_full_repo_name",
+        "get_inference_endpoint",
+        "get_model_tags",
+        "get_paths_info",
+        "get_repo_discussions",
+        "get_safetensors_metadata",
+        "get_space_runtime",
+        "get_space_variables",
+        "get_token_permission",
+        "get_user_overview",
+        "get_webhook",
+        "grant_access",
+        "like",
+        "list_accepted_access_requests",
+        "list_collections",
+        "list_datasets",
+        "list_inference_endpoints",
+        "list_liked_repos",
+        "list_metrics",
+        "list_models",
+        "list_organization_members",
+        "list_pending_access_requests",
+        "list_rejected_access_requests",
+        "list_repo_commits",
+        "list_repo_files",
+        "list_repo_likers",
+        "list_repo_refs",
+        "list_repo_tree",
+        "list_spaces",
+        "list_user_followers",
+        "list_user_following",
+        "list_webhooks",
+        "merge_pull_request",
+        "model_info",
+        "move_repo",
+        "parse_safetensors_file_metadata",
+        "pause_inference_endpoint",
+        "pause_space",
+        "preupload_lfs_files",
+        "reject_access_request",
+        "rename_discussion",
+        "repo_exists",
+        "repo_info",
+        "repo_type_and_id_from_hf_id",
+        "request_space_hardware",
+        "request_space_storage",
+        "restart_space",
+        "resume_inference_endpoint",
+        "revision_exists",
+        "run_as_future",
+        "scale_to_zero_inference_endpoint",
+        "set_space_sleep_time",
+        "space_info",
+        "super_squash_history",
+        "unlike",
+        "update_collection_item",
+        "update_collection_metadata",
+        "update_inference_endpoint",
+        "update_repo_settings",
+        "update_repo_visibility",
+        "update_webhook",
+        "upload_file",
+        "upload_folder",
+        "upload_large_folder",
+        "whoami",
+    ],
+    "hf_file_system": [
+        "HfFileSystem",
+        "HfFileSystemFile",
+        "HfFileSystemResolvedPath",
+        "HfFileSystemStreamFile",
+    ],
+    "hub_mixin": [
+        "ModelHubMixin",
+        "PyTorchModelHubMixin",
+    ],
+    "inference._client": [
+        "InferenceClient",
+        "InferenceTimeoutError",
+    ],
+    "inference._generated._async_client": [
+        "AsyncInferenceClient",
+    ],
+    "inference._generated.types": [
+        "AudioClassificationInput",
+        "AudioClassificationOutputElement",
+        "AudioClassificationParameters",
+        "AudioToAudioInput",
+        "AudioToAudioOutputElement",
+        "AutomaticSpeechRecognitionGenerationParameters",
+        "AutomaticSpeechRecognitionInput",
+        "AutomaticSpeechRecognitionOutput",
+        "AutomaticSpeechRecognitionOutputChunk",
+        "AutomaticSpeechRecognitionParameters",
+        "ChatCompletionInput",
+        "ChatCompletionInputFunctionDefinition",
+        "ChatCompletionInputFunctionName",
+        "ChatCompletionInputGrammarType",
+        "ChatCompletionInputMessage",
+        "ChatCompletionInputMessageChunk",
+        "ChatCompletionInputTool",
+        "ChatCompletionInputToolTypeClass",
+        "ChatCompletionInputURL",
+        "ChatCompletionOutput",
+        "ChatCompletionOutputComplete",
+        "ChatCompletionOutputFunctionDefinition",
+        "ChatCompletionOutputLogprob",
+        "ChatCompletionOutputLogprobs",
+        "ChatCompletionOutputMessage",
+        "ChatCompletionOutputToolCall",
+        "ChatCompletionOutputTopLogprob",
+        "ChatCompletionOutputUsage",
+        "ChatCompletionStreamOutput",
+        "ChatCompletionStreamOutputChoice",
+        "ChatCompletionStreamOutputDelta",
+        "ChatCompletionStreamOutputDeltaToolCall",
+        "ChatCompletionStreamOutputFunction",
+        "ChatCompletionStreamOutputLogprob",
+        "ChatCompletionStreamOutputLogprobs",
+        "ChatCompletionStreamOutputTopLogprob",
+        "DepthEstimationInput",
+        "DepthEstimationOutput",
+        "DocumentQuestionAnsweringInput",
+        "DocumentQuestionAnsweringInputData",
+        "DocumentQuestionAnsweringOutputElement",
+        "DocumentQuestionAnsweringParameters",
+        "FeatureExtractionInput",
+        "FillMaskInput",
+        "FillMaskOutputElement",
+        "FillMaskParameters",
+        "ImageClassificationInput",
+        "ImageClassificationOutputElement",
+        "ImageClassificationParameters",
+        "ImageSegmentationInput",
+        "ImageSegmentationOutputElement",
+        "ImageSegmentationParameters",
+        "ImageToImageInput",
+        "ImageToImageOutput",
+        "ImageToImageParameters",
+        "ImageToImageTargetSize",
+        "ImageToTextGenerationParameters",
+        "ImageToTextInput",
+        "ImageToTextOutput",
+        "ImageToTextParameters",
+        "ObjectDetectionBoundingBox",
+        "ObjectDetectionInput",
+        "ObjectDetectionOutputElement",
+        "ObjectDetectionParameters",
+        "QuestionAnsweringInput",
+        "QuestionAnsweringInputData",
+        "QuestionAnsweringOutputElement",
+        "QuestionAnsweringParameters",
+        "SentenceSimilarityInput",
+        "SentenceSimilarityInputData",
+        "SummarizationGenerationParameters",
+        "SummarizationInput",
+        "SummarizationOutput",
+        "TableQuestionAnsweringInput",
+        "TableQuestionAnsweringInputData",
+        "TableQuestionAnsweringOutputElement",
+        "Text2TextGenerationInput",
+        "Text2TextGenerationOutput",
+        "Text2TextGenerationParameters",
+        "TextClassificationInput",
+        "TextClassificationOutputElement",
+        "TextClassificationParameters",
+        "TextGenerationInput",
+        "TextGenerationInputGenerateParameters",
+        "TextGenerationInputGrammarType",
+        "TextGenerationOutput",
+        "TextGenerationOutputBestOfSequence",
+        "TextGenerationOutputDetails",
+        "TextGenerationOutputPrefillToken",
+        "TextGenerationOutputToken",
+        "TextGenerationStreamOutput",
+        "TextGenerationStreamOutputStreamDetails",
+        "TextGenerationStreamOutputToken",
+        "TextToAudioGenerationParameters",
+        "TextToAudioInput",
+        "TextToAudioOutput",
+        "TextToAudioParameters",
+        "TextToImageInput",
+        "TextToImageOutput",
+        "TextToImageParameters",
+        "TextToImageTargetSize",
+        "TokenClassificationInput",
+        "TokenClassificationOutputElement",
+        "TokenClassificationParameters",
+        "TranslationGenerationParameters",
+        "TranslationInput",
+        "TranslationOutput",
+        "VideoClassificationInput",
+        "VideoClassificationOutputElement",
+        "VideoClassificationParameters",
+        "VisualQuestionAnsweringInput",
+        "VisualQuestionAnsweringInputData",
+        "VisualQuestionAnsweringOutputElement",
+        "VisualQuestionAnsweringParameters",
+        "ZeroShotClassificationInput",
+        "ZeroShotClassificationInputData",
+        "ZeroShotClassificationOutputElement",
+        "ZeroShotClassificationParameters",
+        "ZeroShotImageClassificationInput",
+        "ZeroShotImageClassificationInputData",
+        "ZeroShotImageClassificationOutputElement",
+        "ZeroShotImageClassificationParameters",
+        "ZeroShotObjectDetectionBoundingBox",
+        "ZeroShotObjectDetectionInput",
+        "ZeroShotObjectDetectionInputData",
+        "ZeroShotObjectDetectionOutputElement",
+    ],
+    "inference_api": [
+        "InferenceApi",
+    ],
+    "keras_mixin": [
+        "KerasModelHubMixin",
+        "from_pretrained_keras",
+        "push_to_hub_keras",
+        "save_pretrained_keras",
+    ],
+    "repocard": [
+        "DatasetCard",
+        "ModelCard",
+        "RepoCard",
+        "SpaceCard",
+        "metadata_eval_result",
+        "metadata_load",
+        "metadata_save",
+        "metadata_update",
+    ],
+    "repocard_data": [
+        "CardData",
+        "DatasetCardData",
+        "EvalResult",
+        "ModelCardData",
+        "SpaceCardData",
+    ],
+    "repository": [
+        "Repository",
+    ],
+    "serialization": [
+        "StateDictSplit",
+        "get_tf_storage_size",
+        "get_torch_storage_id",
+        "get_torch_storage_size",
+        "save_torch_model",
+        "save_torch_state_dict",
+        "split_state_dict_into_shards_factory",
+        "split_tf_state_dict_into_shards",
+        "split_torch_state_dict_into_shards",
+    ],
+    "utils": [
+        "CacheNotFound",
+        "CachedFileInfo",
+        "CachedRepoInfo",
+        "CachedRevisionInfo",
+        "CorruptedCacheException",
+        "DeleteCacheStrategy",
+        "HFCacheInfo",
+        "HfFolder",
+        "cached_assets_path",
+        "configure_http_backend",
+        "dump_environment_info",
+        "get_session",
+        "get_token",
+        "logging",
+        "scan_cache_dir",
+    ],
+}
+
+
+def _attach(package_name, submodules=None, submod_attrs=None):
+    """Attach lazily loaded submodules, functions, or other attributes.
+
+    Typically, modules import submodules and attributes as follows:
+
+    ```py
+    import mysubmodule
+    import anothersubmodule
+
+    from .foo import someattr
+    ```
+
+    The idea is to replace a package's `__getattr__`, `__dir__`, and
+    `__all__`, such that all imports work exactly the way they would
+    with normal imports, except that the import occurs upon first use.
+
+    The typical way to call this function, replacing the above imports, is:
+
+    ```python
+    __getattr__, __dir__, __all__ = lazy.attach(
+        __name__,
+        ['mysubmodule', 'anothersubmodule'],
+        {'foo': ['someattr']}
+    )
+    ```
+    This functionality requires Python 3.7 or higher.
+
+    Args:
+        package_name (`str`):
+            Typically use `__name__`.
+        submodules (`set`):
+            List of submodules to attach.
+        submod_attrs (`dict`):
+            Dictionary of submodule -> list of attributes / functions.
+            These attributes are imported as they are used.
+
+    Returns:
+        __getattr__, __dir__, __all__
+
+    """
+    if submod_attrs is None:
+        submod_attrs = {}
+
+    if submodules is None:
+        submodules = set()
+    else:
+        submodules = set(submodules)
+
+    attr_to_modules = {attr: mod for mod, attrs in submod_attrs.items() for attr in attrs}
+
+    __all__ = list(submodules | attr_to_modules.keys())
+
+    def __getattr__(name):
+        if name in submodules:
+            try:
+                return importlib.import_module(f"{package_name}.{name}")
+            except Exception as e:
+                print(f"Error importing {package_name}.{name}: {e}")
+                raise
+        elif name in attr_to_modules:
+            submod_path = f"{package_name}.{attr_to_modules[name]}"
+            try:
+                submod = importlib.import_module(submod_path)
+            except Exception as e:
+                print(f"Error importing {submod_path}: {e}")
+                raise
+            attr = getattr(submod, name)
+
+            # If the attribute lives in a file (module) with the same
+            # name as the attribute, ensure that the attribute and *not*
+            # the module is accessible on the package.
+            if name == attr_to_modules[name]:
+                pkg = sys.modules[package_name]
+                pkg.__dict__[name] = attr
+
+            return attr
+        else:
+            raise AttributeError(f"No {package_name} attribute {name}")
+
+    def __dir__():
+        return __all__
+
+    return __getattr__, __dir__, list(__all__)
+
+
+__getattr__, __dir__, __all__ = _attach(__name__, submodules=[], submod_attrs=_SUBMOD_ATTRS)
+
+if os.environ.get("EAGER_IMPORT", ""):
+    for attr in __all__:
+        __getattr__(attr)
+
+# WARNING: any content below this statement is generated automatically. Any manual edit
+# will be lost when re-generating this file !
+#
+# To update the static imports, please run the following command and commit the changes.
+# ```
+# # Use script
+# python utils/check_static_imports.py --update-file
+#
+# # Or run style on codebase
+# make style
+# ```
+if TYPE_CHECKING:  # pragma: no cover
+    from ._commit_scheduler import CommitScheduler  # noqa: F401
+    from ._inference_endpoints import (
+        InferenceEndpoint,  # noqa: F401
+        InferenceEndpointError,  # noqa: F401
+        InferenceEndpointStatus,  # noqa: F401
+        InferenceEndpointTimeoutError,  # noqa: F401
+        InferenceEndpointType,  # noqa: F401
+    )
+    from ._login import (
+        interpreter_login,  # noqa: F401
+        login,  # noqa: F401
+        logout,  # noqa: F401
+        notebook_login,  # noqa: F401
+    )
+    from ._multi_commits import (
+        MultiCommitException,  # noqa: F401
+        plan_multi_commits,  # noqa: F401
+    )
+    from ._snapshot_download import snapshot_download  # noqa: F401
+    from ._space_api import (
+        SpaceHardware,  # noqa: F401
+        SpaceRuntime,  # noqa: F401
+        SpaceStage,  # noqa: F401
+        SpaceStorage,  # noqa: F401
+        SpaceVariable,  # noqa: F401
+    )
+    from ._tensorboard_logger import HFSummaryWriter  # noqa: F401
+    from ._webhooks_payload import (
+        WebhookPayload,  # noqa: F401
+        WebhookPayloadComment,  # noqa: F401
+        WebhookPayloadDiscussion,  # noqa: F401
+        WebhookPayloadDiscussionChanges,  # noqa: F401
+        WebhookPayloadEvent,  # noqa: F401
+        WebhookPayloadMovedTo,  # noqa: F401
+        WebhookPayloadRepo,  # noqa: F401
+        WebhookPayloadUrl,  # noqa: F401
+        WebhookPayloadWebhook,  # noqa: F401
+    )
+    from ._webhooks_server import (
+        WebhooksServer,  # noqa: F401
+        webhook_endpoint,  # noqa: F401
+    )
+    from .community import (
+        Discussion,  # noqa: F401
+        DiscussionComment,  # noqa: F401
+        DiscussionCommit,  # noqa: F401
+        DiscussionEvent,  # noqa: F401
+        DiscussionStatusChange,  # noqa: F401
+        DiscussionTitleChange,  # noqa: F401
+        DiscussionWithDetails,  # noqa: F401
+    )
+    from .constants import (
+        CONFIG_NAME,  # noqa: F401
+        FLAX_WEIGHTS_NAME,  # noqa: F401
+        HUGGINGFACE_CO_URL_HOME,  # noqa: F401
+        HUGGINGFACE_CO_URL_TEMPLATE,  # noqa: F401
+        PYTORCH_WEIGHTS_NAME,  # noqa: F401
+        REPO_TYPE_DATASET,  # noqa: F401
+        REPO_TYPE_MODEL,  # noqa: F401
+        REPO_TYPE_SPACE,  # noqa: F401
+        TF2_WEIGHTS_NAME,  # noqa: F401
+        TF_WEIGHTS_NAME,  # noqa: F401
+    )
+    from .fastai_utils import (
+        _save_pretrained_fastai,  # noqa: F401
+        from_pretrained_fastai,  # noqa: F401
+        push_to_hub_fastai,  # noqa: F401
+    )
+    from .file_download import (
+        _CACHED_NO_EXIST,  # noqa: F401
+        HfFileMetadata,  # noqa: F401
+        cached_download,  # noqa: F401
+        get_hf_file_metadata,  # noqa: F401
+        hf_hub_download,  # noqa: F401
+        hf_hub_url,  # noqa: F401
+        try_to_load_from_cache,  # noqa: F401
+    )
+    from .hf_api import (
+        Collection,  # noqa: F401
+        CollectionItem,  # noqa: F401
+        CommitInfo,  # noqa: F401
+        CommitOperation,  # noqa: F401
+        CommitOperationAdd,  # noqa: F401
+        CommitOperationCopy,  # noqa: F401
+        CommitOperationDelete,  # noqa: F401
+        DatasetInfo,  # noqa: F401
+        GitCommitInfo,  # noqa: F401
+        GitRefInfo,  # noqa: F401
+        GitRefs,  # noqa: F401
+        HfApi,  # noqa: F401
+        ModelInfo,  # noqa: F401
+        RepoUrl,  # noqa: F401
+        SpaceInfo,  # noqa: F401
+        User,  # noqa: F401
+        UserLikes,  # noqa: F401
+        WebhookInfo,  # noqa: F401
+        WebhookWatchedItem,  # noqa: F401
+        accept_access_request,  # noqa: F401
+        add_collection_item,  # noqa: F401
+        add_space_secret,  # noqa: F401
+        add_space_variable,  # noqa: F401
+        auth_check,  # noqa: F401
+        cancel_access_request,  # noqa: F401
+        change_discussion_status,  # noqa: F401
+        comment_discussion,  # noqa: F401
+        create_branch,  # noqa: F401
+        create_collection,  # noqa: F401
+        create_commit,  # noqa: F401
+        create_commits_on_pr,  # noqa: F401
+        create_discussion,  # noqa: F401
+        create_inference_endpoint,  # noqa: F401
+        create_pull_request,  # noqa: F401
+        create_repo,  # noqa: F401
+        create_tag,  # noqa: F401
+        create_webhook,  # noqa: F401
+        dataset_info,  # noqa: F401
+        delete_branch,  # noqa: F401
+        delete_collection,  # noqa: F401
+        delete_collection_item,  # noqa: F401
+        delete_file,  # noqa: F401
+        delete_folder,  # noqa: F401
+        delete_inference_endpoint,  # noqa: F401
+        delete_repo,  # noqa: F401
+        delete_space_secret,  # noqa: F401
+        delete_space_storage,  # noqa: F401
+        delete_space_variable,  # noqa: F401
+        delete_tag,  # noqa: F401
+        delete_webhook,  # noqa: F401
+        disable_webhook,  # noqa: F401
+        duplicate_space,  # noqa: F401
+        edit_discussion_comment,  # noqa: F401
+        enable_webhook,  # noqa: F401
+        file_exists,  # noqa: F401
+        get_collection,  # noqa: F401
+        get_dataset_tags,  # noqa: F401
+        get_discussion_details,  # noqa: F401
+        get_full_repo_name,  # noqa: F401
+        get_inference_endpoint,  # noqa: F401
+        get_model_tags,  # noqa: F401
+        get_paths_info,  # noqa: F401
+        get_repo_discussions,  # noqa: F401
+        get_safetensors_metadata,  # noqa: F401
+        get_space_runtime,  # noqa: F401
+        get_space_variables,  # noqa: F401
+        get_token_permission,  # noqa: F401
+        get_user_overview,  # noqa: F401
+        get_webhook,  # noqa: F401
+        grant_access,  # noqa: F401
+        like,  # noqa: F401
+        list_accepted_access_requests,  # noqa: F401
+        list_collections,  # noqa: F401
+        list_datasets,  # noqa: F401
+        list_inference_endpoints,  # noqa: F401
+        list_liked_repos,  # noqa: F401
+        list_metrics,  # noqa: F401
+        list_models,  # noqa: F401
+        list_organization_members,  # noqa: F401
+        list_pending_access_requests,  # noqa: F401
+        list_rejected_access_requests,  # noqa: F401
+        list_repo_commits,  # noqa: F401
+        list_repo_files,  # noqa: F401
+        list_repo_likers,  # noqa: F401
+        list_repo_refs,  # noqa: F401
+        list_repo_tree,  # noqa: F401
+        list_spaces,  # noqa: F401
+        list_user_followers,  # noqa: F401
+        list_user_following,  # noqa: F401
+        list_webhooks,  # noqa: F401
+        merge_pull_request,  # noqa: F401
+        model_info,  # noqa: F401
+        move_repo,  # noqa: F401
+        parse_safetensors_file_metadata,  # noqa: F401
+        pause_inference_endpoint,  # noqa: F401
+        pause_space,  # noqa: F401
+        preupload_lfs_files,  # noqa: F401
+        reject_access_request,  # noqa: F401
+        rename_discussion,  # noqa: F401
+        repo_exists,  # noqa: F401
+        repo_info,  # noqa: F401
+        repo_type_and_id_from_hf_id,  # noqa: F401
+        request_space_hardware,  # noqa: F401
+        request_space_storage,  # noqa: F401
+        restart_space,  # noqa: F401
+        resume_inference_endpoint,  # noqa: F401
+        revision_exists,  # noqa: F401
+        run_as_future,  # noqa: F401
+        scale_to_zero_inference_endpoint,  # noqa: F401
+        set_space_sleep_time,  # noqa: F401
+        space_info,  # noqa: F401
+        super_squash_history,  # noqa: F401
+        unlike,  # noqa: F401
+        update_collection_item,  # noqa: F401
+        update_collection_metadata,  # noqa: F401
+        update_inference_endpoint,  # noqa: F401
+        update_repo_settings,  # noqa: F401
+        update_repo_visibility,  # noqa: F401
+        update_webhook,  # noqa: F401
+        upload_file,  # noqa: F401
+        upload_folder,  # noqa: F401
+        upload_large_folder,  # noqa: F401
+        whoami,  # noqa: F401
+    )
+    from .hf_file_system import (
+        HfFileSystem,  # noqa: F401
+        HfFileSystemFile,  # noqa: F401
+        HfFileSystemResolvedPath,  # noqa: F401
+        HfFileSystemStreamFile,  # noqa: F401
+    )
+    from .hub_mixin import (
+        ModelHubMixin,  # noqa: F401
+        PyTorchModelHubMixin,  # noqa: F401
+    )
+    from .inference._client import (
+        InferenceClient,  # noqa: F401
+        InferenceTimeoutError,  # noqa: F401
+    )
+    from .inference._generated._async_client import AsyncInferenceClient  # noqa: F401
+    from .inference._generated.types import (
+        AudioClassificationInput,  # noqa: F401
+        AudioClassificationOutputElement,  # noqa: F401
+        AudioClassificationParameters,  # noqa: F401
+        AudioToAudioInput,  # noqa: F401
+        AudioToAudioOutputElement,  # noqa: F401
+        AutomaticSpeechRecognitionGenerationParameters,  # noqa: F401
+        AutomaticSpeechRecognitionInput,  # noqa: F401
+        AutomaticSpeechRecognitionOutput,  # noqa: F401
+        AutomaticSpeechRecognitionOutputChunk,  # noqa: F401
+        AutomaticSpeechRecognitionParameters,  # noqa: F401
+        ChatCompletionInput,  # noqa: F401
+        ChatCompletionInputFunctionDefinition,  # noqa: F401
+        ChatCompletionInputFunctionName,  # noqa: F401
+        ChatCompletionInputGrammarType,  # noqa: F401
+        ChatCompletionInputMessage,  # noqa: F401
+        ChatCompletionInputMessageChunk,  # noqa: F401
+        ChatCompletionInputTool,  # noqa: F401
+        ChatCompletionInputToolTypeClass,  # noqa: F401
+        ChatCompletionInputURL,  # noqa: F401
+        ChatCompletionOutput,  # noqa: F401
+        ChatCompletionOutputComplete,  # noqa: F401
+        ChatCompletionOutputFunctionDefinition,  # noqa: F401
+        ChatCompletionOutputLogprob,  # noqa: F401
+        ChatCompletionOutputLogprobs,  # noqa: F401
+        ChatCompletionOutputMessage,  # noqa: F401
+        ChatCompletionOutputToolCall,  # noqa: F401
+        ChatCompletionOutputTopLogprob,  # noqa: F401
+        ChatCompletionOutputUsage,  # noqa: F401
+        ChatCompletionStreamOutput,  # noqa: F401
+        ChatCompletionStreamOutputChoice,  # noqa: F401
+        ChatCompletionStreamOutputDelta,  # noqa: F401
+        ChatCompletionStreamOutputDeltaToolCall,  # noqa: F401
+        ChatCompletionStreamOutputFunction,  # noqa: F401
+        ChatCompletionStreamOutputLogprob,  # noqa: F401
+        ChatCompletionStreamOutputLogprobs,  # noqa: F401
+        ChatCompletionStreamOutputTopLogprob,  # noqa: F401
+        DepthEstimationInput,  # noqa: F401
+        DepthEstimationOutput,  # noqa: F401
+        DocumentQuestionAnsweringInput,  # noqa: F401
+        DocumentQuestionAnsweringInputData,  # noqa: F401
+        DocumentQuestionAnsweringOutputElement,  # noqa: F401
+        DocumentQuestionAnsweringParameters,  # noqa: F401
+        FeatureExtractionInput,  # noqa: F401
+        FillMaskInput,  # noqa: F401
+        FillMaskOutputElement,  # noqa: F401
+        FillMaskParameters,  # noqa: F401
+        ImageClassificationInput,  # noqa: F401
+        ImageClassificationOutputElement,  # noqa: F401
+        ImageClassificationParameters,  # noqa: F401
+        ImageSegmentationInput,  # noqa: F401
+        ImageSegmentationOutputElement,  # noqa: F401
+        ImageSegmentationParameters,  # noqa: F401
+        ImageToImageInput,  # noqa: F401
+        ImageToImageOutput,  # noqa: F401
+        ImageToImageParameters,  # noqa: F401
+        ImageToImageTargetSize,  # noqa: F401
+        ImageToTextGenerationParameters,  # noqa: F401
+        ImageToTextInput,  # noqa: F401
+        ImageToTextOutput,  # noqa: F401
+        ImageToTextParameters,  # noqa: F401
+        ObjectDetectionBoundingBox,  # noqa: F401
+        ObjectDetectionInput,  # noqa: F401
+        ObjectDetectionOutputElement,  # noqa: F401
+        ObjectDetectionParameters,  # noqa: F401
+        QuestionAnsweringInput,  # noqa: F401
+        QuestionAnsweringInputData,  # noqa: F401
+        QuestionAnsweringOutputElement,  # noqa: F401
+        QuestionAnsweringParameters,  # noqa: F401
+        SentenceSimilarityInput,  # noqa: F401
+        SentenceSimilarityInputData,  # noqa: F401
+        SummarizationGenerationParameters,  # noqa: F401
+        SummarizationInput,  # noqa: F401
+        SummarizationOutput,  # noqa: F401
+        TableQuestionAnsweringInput,  # noqa: F401
+        TableQuestionAnsweringInputData,  # noqa: F401
+        TableQuestionAnsweringOutputElement,  # noqa: F401
+        Text2TextGenerationInput,  # noqa: F401
+        Text2TextGenerationOutput,  # noqa: F401
+        Text2TextGenerationParameters,  # noqa: F401
+        TextClassificationInput,  # noqa: F401
+        TextClassificationOutputElement,  # noqa: F401
+        TextClassificationParameters,  # noqa: F401
+        TextGenerationInput,  # noqa: F401
+        TextGenerationInputGenerateParameters,  # noqa: F401
+        TextGenerationInputGrammarType,  # noqa: F401
+        TextGenerationOutput,  # noqa: F401
+        TextGenerationOutputBestOfSequence,  # noqa: F401
+        TextGenerationOutputDetails,  # noqa: F401
+        TextGenerationOutputPrefillToken,  # noqa: F401
+        TextGenerationOutputToken,  # noqa: F401
+        TextGenerationStreamOutput,  # noqa: F401
+        TextGenerationStreamOutputStreamDetails,  # noqa: F401
+        TextGenerationStreamOutputToken,  # noqa: F401
+        TextToAudioGenerationParameters,  # noqa: F401
+        TextToAudioInput,  # noqa: F401
+        TextToAudioOutput,  # noqa: F401
+        TextToAudioParameters,  # noqa: F401
+        TextToImageInput,  # noqa: F401
+        TextToImageOutput,  # noqa: F401
+        TextToImageParameters,  # noqa: F401
+        TextToImageTargetSize,  # noqa: F401
+        TokenClassificationInput,  # noqa: F401
+        TokenClassificationOutputElement,  # noqa: F401
+        TokenClassificationParameters,  # noqa: F401
+        TranslationGenerationParameters,  # noqa: F401
+        TranslationInput,  # noqa: F401
+        TranslationOutput,  # noqa: F401
+        VideoClassificationInput,  # noqa: F401
+        VideoClassificationOutputElement,  # noqa: F401
+        VideoClassificationParameters,  # noqa: F401
+        VisualQuestionAnsweringInput,  # noqa: F401
+        VisualQuestionAnsweringInputData,  # noqa: F401
+        VisualQuestionAnsweringOutputElement,  # noqa: F401
+        VisualQuestionAnsweringParameters,  # noqa: F401
+        ZeroShotClassificationInput,  # noqa: F401
+        ZeroShotClassificationInputData,  # noqa: F401
+        ZeroShotClassificationOutputElement,  # noqa: F401
+        ZeroShotClassificationParameters,  # noqa: F401
+        ZeroShotImageClassificationInput,  # noqa: F401
+        ZeroShotImageClassificationInputData,  # noqa: F401
+        ZeroShotImageClassificationOutputElement,  # noqa: F401
+        ZeroShotImageClassificationParameters,  # noqa: F401
+        ZeroShotObjectDetectionBoundingBox,  # noqa: F401
+        ZeroShotObjectDetectionInput,  # noqa: F401
+        ZeroShotObjectDetectionInputData,  # noqa: F401
+        ZeroShotObjectDetectionOutputElement,  # noqa: F401
+    )
+    from .inference_api import InferenceApi  # noqa: F401
+    from .keras_mixin import (
+        KerasModelHubMixin,  # noqa: F401
+        from_pretrained_keras,  # noqa: F401
+        push_to_hub_keras,  # noqa: F401
+        save_pretrained_keras,  # noqa: F401
+    )
+    from .repocard import (
+        DatasetCard,  # noqa: F401
+        ModelCard,  # noqa: F401
+        RepoCard,  # noqa: F401
+        SpaceCard,  # noqa: F401
+        metadata_eval_result,  # noqa: F401
+        metadata_load,  # noqa: F401
+        metadata_save,  # noqa: F401
+        metadata_update,  # noqa: F401
+    )
+    from .repocard_data import (
+        CardData,  # noqa: F401
+        DatasetCardData,  # noqa: F401
+        EvalResult,  # noqa: F401
+        ModelCardData,  # noqa: F401
+        SpaceCardData,  # noqa: F401
+    )
+    from .repository import Repository  # noqa: F401
+    from .serialization import (
+        StateDictSplit,  # noqa: F401
+        get_tf_storage_size,  # noqa: F401
+        get_torch_storage_id,  # noqa: F401
+        get_torch_storage_size,  # noqa: F401
+        save_torch_model,  # noqa: F401
+        save_torch_state_dict,  # noqa: F401
+        split_state_dict_into_shards_factory,  # noqa: F401
+        split_tf_state_dict_into_shards,  # noqa: F401
+        split_torch_state_dict_into_shards,  # noqa: F401
+    )
+    from .utils import (
+        CachedFileInfo,  # noqa: F401
+        CachedRepoInfo,  # noqa: F401
+        CachedRevisionInfo,  # noqa: F401
+        CacheNotFound,  # noqa: F401
+        CorruptedCacheException,  # noqa: F401
+        DeleteCacheStrategy,  # noqa: F401
+        HFCacheInfo,  # noqa: F401
+        HfFolder,  # noqa: F401
+        cached_assets_path,  # noqa: F401
+        configure_http_backend,  # noqa: F401
+        dump_environment_info,  # noqa: F401
+        get_session,  # noqa: F401
+        get_token,  # noqa: F401
+        logging,  # noqa: F401
+        scan_cache_dir,  # noqa: F401
+    )

valley/lib/python3.10/site-packages/huggingface_hub/_commit_scheduler.py

@@ -0,0 +1,327 @@
+import atexit
+import logging
+import os
+import time
+from concurrent.futures import Future
+from dataclasses import dataclass
+from io import SEEK_END, SEEK_SET, BytesIO
+from pathlib import Path
+from threading import Lock, Thread
+from typing import Dict, List, Optional, Union
+
+from .hf_api import DEFAULT_IGNORE_PATTERNS, CommitInfo, CommitOperationAdd, HfApi
+from .utils import filter_repo_objects
+
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass(frozen=True)
+class _FileToUpload:
+    """Temporary dataclass to store info about files to upload. Not meant to be used directly."""
+
+    local_path: Path
+    path_in_repo: str
+    size_limit: int
+    last_modified: float
+
+
+class CommitScheduler:
+    """
+    Scheduler to upload a local folder to the Hub at regular intervals (e.g. push to hub every 5 minutes).
+
+    The scheduler is started when instantiated and run indefinitely. At the end of your script, a last commit is
+    triggered. Checkout the [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#scheduled-uploads)
+    to learn more about how to use it.
+
+    Args:
+        repo_id (`str`):
+            The id of the repo to commit to.
+        folder_path (`str` or `Path`):
+            Path to the local folder to upload regularly.
+        every (`int` or `float`, *optional*):
+            The number of minutes between each commit. Defaults to 5 minutes.
+        path_in_repo (`str`, *optional*):
+            Relative path of the directory in the repo, for example: `"checkpoints/"`. Defaults to the root folder
+            of the repository.
+        repo_type (`str`, *optional*):
+            The type of the repo to commit to. Defaults to `model`.
+        revision (`str`, *optional*):
+            The revision of the repo to commit to. Defaults to `main`.
+        private (`bool`, *optional*):
+            Whether to make the repo private. Defaults to `False`. This value is ignored if the repo already exist.
+        token (`str`, *optional*):
+            The token to use to commit to the repo. Defaults to the token saved on the machine.
+        allow_patterns (`List[str]` or `str`, *optional*):
+            If provided, only files matching at least one pattern are uploaded.
+        ignore_patterns (`List[str]` or `str`, *optional*):
+            If provided, files matching any of the patterns are not uploaded.
+        squash_history (`bool`, *optional*):
+            Whether to squash the history of the repo after each commit. Defaults to `False`. Squashing commits is
+            useful to avoid degraded performances on the repo when it grows too large.
+        hf_api (`HfApi`, *optional*):
+            The [`HfApi`] client to use to commit to the Hub. Can be set with custom settings (user agent, token,...).
+
+    Example:
+    ```py
+    >>> from pathlib import Path
+    >>> from huggingface_hub import CommitScheduler
+
+    # Scheduler uploads every 10 minutes
+    >>> csv_path = Path("watched_folder/data.csv")
+    >>> CommitScheduler(repo_id="test_scheduler", repo_type="dataset", folder_path=csv_path.parent, every=10)
+
+    >>> with csv_path.open("a") as f:
+    ...     f.write("first line")
+
+    # Some time later (...)
+    >>> with csv_path.open("a") as f:
+    ...     f.write("second line")
+    ```
+    """
+
+    def __init__(
+        self,
+        *,
+        repo_id: str,
+        folder_path: Union[str, Path],
+        every: Union[int, float] = 5,
+        path_in_repo: Optional[str] = None,
+        repo_type: Optional[str] = None,
+        revision: Optional[str] = None,
+        private: bool = False,
+        token: Optional[str] = None,
+        allow_patterns: Optional[Union[List[str], str]] = None,
+        ignore_patterns: Optional[Union[List[str], str]] = None,
+        squash_history: bool = False,
+        hf_api: Optional["HfApi"] = None,
+    ) -> None:
+        self.api = hf_api or HfApi(token=token)
+
+        # Folder
+        self.folder_path = Path(folder_path).expanduser().resolve()
+        self.path_in_repo = path_in_repo or ""
+        self.allow_patterns = allow_patterns
+
+        if ignore_patterns is None:
+            ignore_patterns = []
+        elif isinstance(ignore_patterns, str):
+            ignore_patterns = [ignore_patterns]
+        self.ignore_patterns = ignore_patterns + DEFAULT_IGNORE_PATTERNS
+
+        if self.folder_path.is_file():
+            raise ValueError(f"'folder_path' must be a directory, not a file: '{self.folder_path}'.")
+        self.folder_path.mkdir(parents=True, exist_ok=True)
+
+        # Repository
+        repo_url = self.api.create_repo(repo_id=repo_id, private=private, repo_type=repo_type, exist_ok=True)
+        self.repo_id = repo_url.repo_id
+        self.repo_type = repo_type
+        self.revision = revision
+        self.token = token
+
+        # Keep track of already uploaded files
+        self.last_uploaded: Dict[Path, float] = {}  # key is local path, value is timestamp
+
+        # Scheduler
+        if not every > 0:
+            raise ValueError(f"'every' must be a positive integer, not '{every}'.")
+        self.lock = Lock()
+        self.every = every
+        self.squash_history = squash_history
+
+        logger.info(f"Scheduled job to push '{self.folder_path}' to '{self.repo_id}' every {self.every} minutes.")
+        self._scheduler_thread = Thread(target=self._run_scheduler, daemon=True)
+        self._scheduler_thread.start()
+        atexit.register(self._push_to_hub)
+
+        self.__stopped = False
+
+    def stop(self) -> None:
+        """Stop the scheduler.
+
+        A stopped scheduler cannot be restarted. Mostly for tests purposes.
+        """
+        self.__stopped = True
+
+    def _run_scheduler(self) -> None:
+        """Dumb thread waiting between each scheduled push to Hub."""
+        while True:
+            self.last_future = self.trigger()
+            time.sleep(self.every * 60)
+            if self.__stopped:
+                break
+
+    def trigger(self) -> Future:
+        """Trigger a `push_to_hub` and return a future.
+
+        This method is automatically called every `every` minutes. You can also call it manually to trigger a commit
+        immediately, without waiting for the next scheduled commit.
+        """
+        return self.api.run_as_future(self._push_to_hub)
+
+    def _push_to_hub(self) -> Optional[CommitInfo]:
+        if self.__stopped:  # If stopped, already scheduled commits are ignored
+            return None
+
+        logger.info("(Background) scheduled commit triggered.")
+        try:
+            value = self.push_to_hub()
+            if self.squash_history:
+                logger.info("(Background) squashing repo history.")
+                self.api.super_squash_history(repo_id=self.repo_id, repo_type=self.repo_type, branch=self.revision)
+            return value
+        except Exception as e:
+            logger.error(f"Error while pushing to Hub: {e}")  # Depending on the setup, error might be silenced
+            raise
+
+    def push_to_hub(self) -> Optional[CommitInfo]:
+        """
+        Push folder to the Hub and return the commit info.
+
+        <Tip warning={true}>
+
+        This method is not meant to be called directly. It is run in the background by the scheduler, respecting a
+        queue mechanism to avoid concurrent commits. Making a direct call to the method might lead to concurrency
+        issues.
+
+        </Tip>
+
+        The default behavior of `push_to_hub` is to assume an append-only folder. It lists all files in the folder and
+        uploads only changed files. If no changes are found, the method returns without committing anything. If you want
+        to change this behavior, you can inherit from [`CommitScheduler`] and override this method. This can be useful
+        for example to compress data together in a single file before committing. For more details and examples, check
+        out our [integration guide](https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#scheduled-uploads).
+        """
+        # Check files to upload (with lock)
+        with self.lock:
+            logger.debug("Listing files to upload for scheduled commit.")
+
+            # List files from folder (taken from `_prepare_upload_folder_additions`)
+            relpath_to_abspath = {
+                path.relative_to(self.folder_path).as_posix(): path
+                for path in sorted(self.folder_path.glob("**/*"))  # sorted to be deterministic
+                if path.is_file()
+            }
+            prefix = f"{self.path_in_repo.strip('/')}/" if self.path_in_repo else ""
+
+            # Filter with pattern + filter out unchanged files + retrieve current file size
+            files_to_upload: List[_FileToUpload] = []
+            for relpath in filter_repo_objects(
+                relpath_to_abspath.keys(), allow_patterns=self.allow_patterns, ignore_patterns=self.ignore_patterns
+            ):
+                local_path = relpath_to_abspath[relpath]
+                stat = local_path.stat()
+                if self.last_uploaded.get(local_path) is None or self.last_uploaded[local_path] != stat.st_mtime:
+                    files_to_upload.append(
+                        _FileToUpload(
+                            local_path=local_path,
+                            path_in_repo=prefix + relpath,
+                            size_limit=stat.st_size,
+                            last_modified=stat.st_mtime,
+                        )
+                    )
+
+        # Return if nothing to upload
+        if len(files_to_upload) == 0:
+            logger.debug("Dropping schedule commit: no changed file to upload.")
+            return None
+
+        # Convert `_FileToUpload` as `CommitOperationAdd` (=> compute file shas + limit to file size)
+        logger.debug("Removing unchanged files since previous scheduled commit.")
+        add_operations = [
+            CommitOperationAdd(
+                # Cap the file to its current size, even if the user append data to it while a scheduled commit is happening
+                path_or_fileobj=PartialFileIO(file_to_upload.local_path, size_limit=file_to_upload.size_limit),
+                path_in_repo=file_to_upload.path_in_repo,
+            )
+            for file_to_upload in files_to_upload
+        ]
+
+        # Upload files (append mode expected - no need for lock)
+        logger.debug("Uploading files for scheduled commit.")
+        commit_info = self.api.create_commit(
+            repo_id=self.repo_id,
+            repo_type=self.repo_type,
+            operations=add_operations,
+            commit_message="Scheduled Commit",
+            revision=self.revision,
+        )
+
+        # Successful commit: keep track of the latest "last_modified" for each file
+        for file in files_to_upload:
+            self.last_uploaded[file.local_path] = file.last_modified
+        return commit_info
+
+
+class PartialFileIO(BytesIO):
+    """A file-like object that reads only the first part of a file.
+
+    Useful to upload a file to the Hub when the user might still be appending data to it. Only the first part of the
+    file is uploaded (i.e. the part that was available when the filesystem was first scanned).
+
+    In practice, only used internally by the CommitScheduler to regularly push a folder to the Hub with minimal
+    disturbance for the user. The object is passed to `CommitOperationAdd`.
+
+    Only supports `read`, `tell` and `seek` methods.
+
+    Args:
+        file_path (`str` or `Path`):
+            Path to the file to read.
+        size_limit (`int`):
+            The maximum number of bytes to read from the file. If the file is larger than this, only the first part
+            will be read (and uploaded).
+    """
+
+    def __init__(self, file_path: Union[str, Path], size_limit: int) -> None:
+        self._file_path = Path(file_path)
+        self._file = self._file_path.open("rb")
+        self._size_limit = min(size_limit, os.fstat(self._file.fileno()).st_size)
+
+    def __del__(self) -> None:
+        self._file.close()
+        return super().__del__()
+
+    def __repr__(self) -> str:
+        return f"<PartialFileIO file_path={self._file_path} size_limit={self._size_limit}>"
+
+    def __len__(self) -> int:
+        return self._size_limit
+
+    def __getattribute__(self, name: str):
+        if name.startswith("_") or name in ("read", "tell", "seek"):  # only 3 public methods supported
+            return super().__getattribute__(name)
+        raise NotImplementedError(f"PartialFileIO does not support '{name}'.")
+
+    def tell(self) -> int:
+        """Return the current file position."""
+        return self._file.tell()
+
+    def seek(self, __offset: int, __whence: int = SEEK_SET) -> int:
+        """Change the stream position to the given offset.
+
+        Behavior is the same as a regular file, except that the position is capped to the size limit.
+        """
+        if __whence == SEEK_END:
+            # SEEK_END => set from the truncated end
+            __offset = len(self) + __offset
+            __whence = SEEK_SET
+
+        pos = self._file.seek(__offset, __whence)
+        if pos > self._size_limit:
+            return self._file.seek(self._size_limit)
+        return pos
+
+    def read(self, __size: Optional[int] = -1) -> bytes:
+        """Read at most `__size` bytes from the file.
+
+        Behavior is the same as a regular file, except that it is capped to the size limit.
+        """
+        current = self._file.tell()
+        if __size is None or __size < 0:
+            # Read until file limit
+            truncated_size = self._size_limit - current
+        else:
+            # Read until file limit or __size
+            truncated_size = min(__size, self._size_limit - current)
+        return self._file.read(truncated_size)

valley/lib/python3.10/site-packages/huggingface_hub/_tensorboard_logger.py

@@ -0,0 +1,195 @@
+# Copyright 2023 The HuggingFace Team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Contains a logger to push training logs to the Hub, using Tensorboard."""
+
+from pathlib import Path
+from typing import TYPE_CHECKING, List, Optional, Union
+
+from ._commit_scheduler import CommitScheduler
+from .errors import EntryNotFoundError
+from .repocard import ModelCard
+from .utils import experimental
+
+
+# Depending on user's setup, SummaryWriter can come either from 'tensorboardX'
+# or from 'torch.utils.tensorboard'. Both are compatible so let's try to load
+# from either of them.
+try:
+    from tensorboardX import SummaryWriter
+
+    is_summary_writer_available = True
+
+except ImportError:
+    try:
+        from torch.utils.tensorboard import SummaryWriter
+
+        is_summary_writer_available = False
+    except ImportError:
+        # Dummy class to avoid failing at import. Will raise on instance creation.
+        SummaryWriter = object
+        is_summary_writer_available = False
+
+if TYPE_CHECKING:
+    from tensorboardX import SummaryWriter
+
+
+class HFSummaryWriter(SummaryWriter):
+    """
+    Wrapper around the tensorboard's `SummaryWriter` to push training logs to the Hub.
+
+    Data is logged locally and then pushed to the Hub asynchronously. Pushing data to the Hub is done in a separate
+    thread to avoid blocking the training script. In particular, if the upload fails for any reason (e.g. a connection
+    issue), the main script will not be interrupted. Data is automatically pushed to the Hub every `commit_every`
+    minutes (default to every 5 minutes).
+
+    <Tip warning={true}>
+
+    `HFSummaryWriter` is experimental. Its API is subject to change in the future without prior notice.
+
+    </Tip>
+
+    Args:
+        repo_id (`str`):
+            The id of the repo to which the logs will be pushed.
+        logdir (`str`, *optional*):
+            The directory where the logs will be written. If not specified, a local directory will be created by the
+            underlying `SummaryWriter` object.
+        commit_every (`int` or `float`, *optional*):
+            The frequency (in minutes) at which the logs will be pushed to the Hub. Defaults to 5 minutes.
+        squash_history (`bool`, *optional*):
+            Whether to squash the history of the repo after each commit. Defaults to `False`. Squashing commits is
+            useful to avoid degraded performances on the repo when it grows too large.
+        repo_type (`str`, *optional*):
+            The type of the repo to which the logs will be pushed. Defaults to "model".
+        repo_revision (`str`, *optional*):
+            The revision of the repo to which the logs will be pushed. Defaults to "main".
+        repo_private (`bool`, *optional*):
+            Whether to create a private repo or not. Defaults to False. This argument is ignored if the repo already
+            exists.
+        path_in_repo (`str`, *optional*):
+            The path to the folder in the repo where the logs will be pushed. Defaults to "tensorboard/".
+        repo_allow_patterns (`List[str]` or `str`, *optional*):
+            A list of patterns to include in the upload. Defaults to `"*.tfevents.*"`. Check out the
+            [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-folder) for more details.
+        repo_ignore_patterns (`List[str]` or `str`, *optional*):
+            A list of patterns to exclude in the upload. Check out the
+            [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-folder) for more details.
+        token (`str`, *optional*):
+            Authentication token. Will default to the stored token. See https://huggingface.co/settings/token for more
+            details
+        kwargs:
+            Additional keyword arguments passed to `SummaryWriter`.
+
+    Examples:
+    ```diff
+    # Taken from https://pytorch.org/docs/stable/tensorboard.html
+    - from torch.utils.tensorboard import SummaryWriter
+    + from huggingface_hub import HFSummaryWriter
+
+    import numpy as np
+
+    - writer = SummaryWriter()
+    + writer = HFSummaryWriter(repo_id="username/my-trained-model")
+
+    for n_iter in range(100):
+        writer.add_scalar('Loss/train', np.random.random(), n_iter)
+        writer.add_scalar('Loss/test', np.random.random(), n_iter)
+        writer.add_scalar('Accuracy/train', np.random.random(), n_iter)
+        writer.add_scalar('Accuracy/test', np.random.random(), n_iter)
+    ```
+
+    ```py
+    >>> from huggingface_hub import HFSummaryWriter
+
+    # Logs are automatically pushed every 15 minutes (5 by default) + when exiting the context manager
+    >>> with HFSummaryWriter(repo_id="test_hf_logger", commit_every=15) as logger:
+    ...     logger.add_scalar("a", 1)
+    ...     logger.add_scalar("b", 2)
+    ```
+    """
+
+    @experimental
+    def __new__(cls, *args, **kwargs) -> "HFSummaryWriter":
+        if not is_summary_writer_available:
+            raise ImportError(
+                "You must have `tensorboard` installed to use `HFSummaryWriter`. Please run `pip install --upgrade"
+                " tensorboardX` first."
+            )
+        return super().__new__(cls)
+
+    def __init__(
+        self,
+        repo_id: str,
+        *,
+        logdir: Optional[str] = None,
+        commit_every: Union[int, float] = 5,
+        squash_history: bool = False,
+        repo_type: Optional[str] = None,
+        repo_revision: Optional[str] = None,
+        repo_private: bool = False,
+        path_in_repo: Optional[str] = "tensorboard",
+        repo_allow_patterns: Optional[Union[List[str], str]] = "*.tfevents.*",
+        repo_ignore_patterns: Optional[Union[List[str], str]] = None,
+        token: Optional[str] = None,
+        **kwargs,
+    ):
+        # Initialize SummaryWriter
+        super().__init__(logdir=logdir, **kwargs)
+
+        # Check logdir has been correctly initialized and fail early otherwise. In practice, SummaryWriter takes care of it.
+        if not isinstance(self.logdir, str):
+            raise ValueError(f"`self.logdir` must be a string. Got '{self.logdir}' of type {type(self.logdir)}.")
+
+        # Append logdir name to `path_in_repo`
+        if path_in_repo is None or path_in_repo == "":
+            path_in_repo = Path(self.logdir).name
+        else:
+            path_in_repo = path_in_repo.strip("/") + "/" + Path(self.logdir).name
+
+        # Initialize scheduler
+        self.scheduler = CommitScheduler(
+            folder_path=self.logdir,
+            path_in_repo=path_in_repo,
+            repo_id=repo_id,
+            repo_type=repo_type,
+            revision=repo_revision,
+            private=repo_private,
+            token=token,
+            allow_patterns=repo_allow_patterns,
+            ignore_patterns=repo_ignore_patterns,
+            every=commit_every,
+            squash_history=squash_history,
+        )
+
+        # Exposing some high-level info at root level
+        self.repo_id = self.scheduler.repo_id
+        self.repo_type = self.scheduler.repo_type
+        self.repo_revision = self.scheduler.revision
+
+        # Add `hf-summary-writer` tag to the model card metadata
+        try:
+            card = ModelCard.load(repo_id_or_path=self.repo_id, repo_type=self.repo_type)
+        except EntryNotFoundError:
+            card = ModelCard("")
+        tags = card.data.get("tags", [])
+        if "hf-summary-writer" not in tags:
+            tags.append("hf-summary-writer")
+            card.data["tags"] = tags
+            card.push_to_hub(repo_id=self.repo_id, repo_type=self.repo_type)
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """Push to hub in a non-blocking way when exiting the logger's context manager."""
+        super().__exit__(exc_type, exc_val, exc_tb)
+        future = self.scheduler.trigger()
+        future.result()

valley/lib/python3.10/site-packages/huggingface_hub/_webhooks_server.py

@@ -0,0 +1,386 @@
+# coding=utf-8
+# Copyright 2023-present, the HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Contains `WebhooksServer` and `webhook_endpoint` to create a webhook server easily."""
+
+import atexit
+import inspect
+import os
+from functools import wraps
+from typing import TYPE_CHECKING, Any, Callable, Dict, Optional
+
+from .utils import experimental, is_fastapi_available, is_gradio_available
+
+
+if TYPE_CHECKING:
+    import gradio as gr
+    from fastapi import Request
+
+if is_fastapi_available():
+    from fastapi import FastAPI, Request
+    from fastapi.responses import JSONResponse
+else:
+    # Will fail at runtime if FastAPI is not available
+    FastAPI = Request = JSONResponse = None  # type: ignore [misc, assignment]
+
+
+_global_app: Optional["WebhooksServer"] = None
+_is_local = os.environ.get("SPACE_ID") is None
+
+
+@experimental
+class WebhooksServer:
+    """
+    The [`WebhooksServer`] class lets you create an instance of a Gradio app that can receive Huggingface webhooks.
+    These webhooks can be registered using the [`~WebhooksServer.add_webhook`] decorator. Webhook endpoints are added to
+    the app as a POST endpoint to the FastAPI router. Once all the webhooks are registered, the `launch` method has to be
+    called to start the app.
+
+    It is recommended to accept [`WebhookPayload`] as the first argument of the webhook function. It is a Pydantic
+    model that contains all the information about the webhook event. The data will be parsed automatically for you.
+
+    Check out the [webhooks guide](../guides/webhooks_server) for a step-by-step tutorial on how to setup your
+    WebhooksServer and deploy it on a Space.
+
+    <Tip warning={true}>
+
+    `WebhooksServer` is experimental. Its API is subject to change in the future.
+
+    </Tip>
+
+    <Tip warning={true}>
+
+    You must have `gradio` installed to use `WebhooksServer` (`pip install --upgrade gradio`).
+
+    </Tip>
+
+    Args:
+        ui (`gradio.Blocks`, optional):
+            A Gradio UI instance to be used as the Space landing page. If `None`, a UI displaying instructions
+            about the configured webhooks is created.
+        webhook_secret (`str`, optional):
+            A secret key to verify incoming webhook requests. You can set this value to any secret you want as long as
+            you also configure it in your [webhooks settings panel](https://huggingface.co/settings/webhooks). You
+            can also set this value as the `WEBHOOK_SECRET` environment variable. If no secret is provided, the
+            webhook endpoints are opened without any security.
+
+    Example:
+
+        ```python
+        import gradio as gr
+        from huggingface_hub import WebhooksServer, WebhookPayload
+
+        with gr.Blocks() as ui:
+            ...
+
+        app = WebhooksServer(ui=ui, webhook_secret="my_secret_key")
+
+        @app.add_webhook("/say_hello")
+        async def hello(payload: WebhookPayload):
+            return {"message": "hello"}
+
+        app.launch()
+        ```
+    """
+
+    def __new__(cls, *args, **kwargs) -> "WebhooksServer":
+        if not is_gradio_available():
+            raise ImportError(
+                "You must have `gradio` installed to use `WebhooksServer`. Please run `pip install --upgrade gradio`"
+                " first."
+            )
+        if not is_fastapi_available():
+            raise ImportError(
+                "You must have `fastapi` installed to use `WebhooksServer`. Please run `pip install --upgrade fastapi`"
+                " first."
+            )
+        return super().__new__(cls)
+
+    def __init__(
+        self,
+        ui: Optional["gr.Blocks"] = None,
+        webhook_secret: Optional[str] = None,
+    ) -> None:
+        self._ui = ui
+
+        self.webhook_secret = webhook_secret or os.getenv("WEBHOOK_SECRET")
+        self.registered_webhooks: Dict[str, Callable] = {}
+        _warn_on_empty_secret(self.webhook_secret)
+
+    def add_webhook(self, path: Optional[str] = None) -> Callable:
+        """
+        Decorator to add a webhook to the [`WebhooksServer`] server.
+
+        Args:
+            path (`str`, optional):
+                The URL path to register the webhook function. If not provided, the function name will be used as the
+                path. In any case, all webhooks are registered under `/webhooks`.
+
+        Raises:
+            ValueError: If the provided path is already registered as a webhook.
+
+        Example:
+            ```python
+            from huggingface_hub import WebhooksServer, WebhookPayload
+
+            app = WebhooksServer()
+
+            @app.add_webhook
+            async def trigger_training(payload: WebhookPayload):
+                if payload.repo.type == "dataset" and payload.event.action == "update":
+                    # Trigger a training job if a dataset is updated
+                    ...
+
+            app.launch()
+        ```
+        """
+        # Usage: directly as decorator. Example: `@app.add_webhook`
+        if callable(path):
+            # If path is a function, it means it was used as a decorator without arguments
+            return self.add_webhook()(path)
+
+        # Usage: provide a path. Example: `@app.add_webhook(...)`
+        @wraps(FastAPI.post)
+        def _inner_post(*args, **kwargs):
+            func = args[0]
+            abs_path = f"/webhooks/{(path or func.__name__).strip('/')}"
+            if abs_path in self.registered_webhooks:
+                raise ValueError(f"Webhook {abs_path} already exists.")
+            self.registered_webhooks[abs_path] = func
+
+        return _inner_post
+
+    def launch(self, prevent_thread_lock: bool = False, **launch_kwargs: Any) -> None:
+        """Launch the Gradio app and register webhooks to the underlying FastAPI server.
+
+        Input parameters are forwarded to Gradio when launching the app.
+        """
+        ui = self._ui or self._get_default_ui()
+
+        # Start Gradio App
+        #   - as non-blocking so that webhooks can be added afterwards
+        #   - as shared if launch locally (to debug webhooks)
+        launch_kwargs.setdefault("share", _is_local)
+        self.fastapi_app, _, _ = ui.launch(prevent_thread_lock=True, **launch_kwargs)
+
+        # Register webhooks to FastAPI app
+        for path, func in self.registered_webhooks.items():
+            # Add secret check if required
+            if self.webhook_secret is not None:
+                func = _wrap_webhook_to_check_secret(func, webhook_secret=self.webhook_secret)
+
+            # Add route to FastAPI app
+            self.fastapi_app.post(path)(func)
+
+        # Print instructions and block main thread
+        space_host = os.environ.get("SPACE_HOST")
+        url = "https://" + space_host if space_host is not None else (ui.share_url or ui.local_url)
+        url = url.strip("/")
+        message = "\nWebhooks are correctly setup and ready to use:"
+        message += "\n" + "\n".join(f"  - POST {url}{webhook}" for webhook in self.registered_webhooks)
+        message += "\nGo to https://huggingface.co/settings/webhooks to setup your webhooks."
+        print(message)
+
+        if not prevent_thread_lock:
+            ui.block_thread()
+
+    def _get_default_ui(self) -> "gr.Blocks":
+        """Default UI if not provided (lists webhooks and provides basic instructions)."""
+        import gradio as gr
+
+        with gr.Blocks() as ui:
+            gr.Markdown("# This is an app to process 🤗 Webhooks")
+            gr.Markdown(
+                "Webhooks are a foundation for MLOps-related features. They allow you to listen for new changes on"
+                " specific repos or to all repos belonging to particular set of users/organizations (not just your"
+                " repos, but any repo). Check out this [guide](https://huggingface.co/docs/hub/webhooks) to get to"
+                " know more about webhooks on the Huggingface Hub."
+            )
+            gr.Markdown(
+                f"{len(self.registered_webhooks)} webhook(s) are registered:"
+                + "\n\n"
+                + "\n ".join(
+                    f"- [{webhook_path}]({_get_webhook_doc_url(webhook.__name__, webhook_path)})"
+                    for webhook_path, webhook in self.registered_webhooks.items()
+                )
+            )
+            gr.Markdown(
+                "Go to https://huggingface.co/settings/webhooks to setup your webhooks."
+                + "\nYou app is running locally. Please look at the logs to check the full URL you need to set."
+                if _is_local
+                else (
+                    "\nThis app is running on a Space. You can find the corresponding URL in the options menu"
+                    " (top-right) > 'Embed the Space'. The URL looks like 'https://{username}-{repo_name}.hf.space'."
+                )
+            )
+        return ui
+
+
+@experimental
+def webhook_endpoint(path: Optional[str] = None) -> Callable:
+    """Decorator to start a [`WebhooksServer`] and register the decorated function as a webhook endpoint.
+
+    This is a helper to get started quickly. If you need more flexibility (custom landing page or webhook secret),
+    you can use [`WebhooksServer`] directly. You can register multiple webhook endpoints (to the same server) by using
+    this decorator multiple times.
+
+    Check out the [webhooks guide](../guides/webhooks_server) for a step-by-step tutorial on how to setup your
+    server and deploy it on a Space.
+
+    <Tip warning={true}>
+
+    `webhook_endpoint` is experimental. Its API is subject to change in the future.
+
+    </Tip>
+
+    <Tip warning={true}>
+
+    You must have `gradio` installed to use `webhook_endpoint` (`pip install --upgrade gradio`).
+
+    </Tip>
+
+    Args:
+        path (`str`, optional):
+            The URL path to register the webhook function. If not provided, the function name will be used as the path.
+            In any case, all webhooks are registered under `/webhooks`.
+
+    Examples:
+        The default usage is to register a function as a webhook endpoint. The function name will be used as the path.
+        The server will be started automatically at exit (i.e. at the end of the script).
+
+        ```python
+        from huggingface_hub import webhook_endpoint, WebhookPayload
+
+        @webhook_endpoint
+        async def trigger_training(payload: WebhookPayload):
+            if payload.repo.type == "dataset" and payload.event.action == "update":
+                # Trigger a training job if a dataset is updated
+                ...
+
+        # Server is automatically started at the end of the script.
+        ```
+
+        Advanced usage: register a function as a webhook endpoint and start the server manually. This is useful if you
+        are running it in a notebook.
+
+        ```python
+        from huggingface_hub import webhook_endpoint, WebhookPayload
+
+        @webhook_endpoint
+        async def trigger_training(payload: WebhookPayload):
+            if payload.repo.type == "dataset" and payload.event.action == "update":
+                # Trigger a training job if a dataset is updated
+                ...
+
+        # Start the server manually
+        trigger_training.launch()
+        ```
+    """
+    if callable(path):
+        # If path is a function, it means it was used as a decorator without arguments
+        return webhook_endpoint()(path)
+
+    @wraps(WebhooksServer.add_webhook)
+    def _inner(func: Callable) -> Callable:
+        app = _get_global_app()
+        app.add_webhook(path)(func)
+        if len(app.registered_webhooks) == 1:
+            # Register `app.launch` to run at exit (only once)
+            atexit.register(app.launch)
+
+        @wraps(app.launch)
+        def _launch_now():
+            # Run the app directly (without waiting atexit)
+            atexit.unregister(app.launch)
+            app.launch()
+
+        func.launch = _launch_now  # type: ignore
+        return func
+
+    return _inner
+
+
+def _get_global_app() -> WebhooksServer:
+    global _global_app
+    if _global_app is None:
+        _global_app = WebhooksServer()
+    return _global_app
+
+
+def _warn_on_empty_secret(webhook_secret: Optional[str]) -> None:
+    if webhook_secret is None:
+        print("Webhook secret is not defined. This means your webhook endpoints will be open to everyone.")
+        print(
+            "To add a secret, set `WEBHOOK_SECRET` as environment variable or pass it at initialization: "
+            "\n\t`app = WebhooksServer(webhook_secret='my_secret', ...)`"
+        )
+        print(
+            "For more details about webhook secrets, please refer to"
+            " https://huggingface.co/docs/hub/webhooks#webhook-secret."
+        )
+    else:
+        print("Webhook secret is correctly defined.")
+
+
+def _get_webhook_doc_url(webhook_name: str, webhook_path: str) -> str:
+    """Returns the anchor to a given webhook in the docs (experimental)"""
+    return "/docs#/default/" + webhook_name + webhook_path.replace("/", "_") + "_post"
+
+
+def _wrap_webhook_to_check_secret(func: Callable, webhook_secret: str) -> Callable:
+    """Wraps a webhook function to check the webhook secret before calling the function.
+
+    This is a hacky way to add the `request` parameter to the function signature. Since FastAPI based itself on route
+    parameters to inject the values to the function, we need to hack the function signature to retrieve the `Request`
+    object (and hence the headers). A far cleaner solution would be to use a middleware. However, since
+    `fastapi==0.90.1`, a middleware cannot be added once the app has started. And since the FastAPI app is started by
+    Gradio internals (and not by us), we cannot add a middleware.
+
+    This method is called only when a secret has been defined by the user. If a request is sent without the
+    "x-webhook-secret", the function will return a 401 error (unauthorized). If the header is sent but is incorrect,
+    the function will return a 403 error (forbidden).
+
+    Inspired by https://stackoverflow.com/a/33112180.
+    """
+    initial_sig = inspect.signature(func)
+
+    @wraps(func)
+    async def _protected_func(request: Request, **kwargs):
+        request_secret = request.headers.get("x-webhook-secret")
+        if request_secret is None:
+            return JSONResponse({"error": "x-webhook-secret header not set."}, status_code=401)
+        if request_secret != webhook_secret:
+            return JSONResponse({"error": "Invalid webhook secret."}, status_code=403)
+
+        # Inject `request` in kwargs if required
+        if "request" in initial_sig.parameters:
+            kwargs["request"] = request
+
+        # Handle both sync and async routes
+        if inspect.iscoroutinefunction(func):
+            return await func(**kwargs)
+        else:
+            return func(**kwargs)
+
+    # Update signature to include request
+    if "request" not in initial_sig.parameters:
+        _protected_func.__signature__ = initial_sig.replace(  # type: ignore
+            parameters=(
+                inspect.Parameter(name="request", kind=inspect.Parameter.POSITIONAL_OR_KEYWORD, annotation=Request),
+            )
+            + tuple(initial_sig.parameters.values())
+        )
+
+    # Return protected route
+    return _protected_func