Add files using upload-large-folder tool

llmeval-env/lib/python3.10/site-packages/_yaml/__init__.py

@@ -0,0 +1,33 @@
+# This is a stub package designed to roughly emulate the _yaml
+# extension module, which previously existed as a standalone module
+# and has been moved into the `yaml` package namespace.
+# It does not perfectly mimic its old counterpart, but should get
+# close enough for anyone who's relying on it even when they shouldn't.
+import yaml
+
+# in some circumstances, the yaml module we imoprted may be from a different version, so we need
+# to tread carefully when poking at it here (it may not have the attributes we expect)
+if not getattr(yaml, '__with_libyaml__', False):
+    from sys import version_info
+
+    exc = ModuleNotFoundError if version_info >= (3, 6) else ImportError
+    raise exc("No module named '_yaml'")
+else:
+    from yaml._yaml import *
+    import warnings
+    warnings.warn(
+        'The _yaml extension module is now located at yaml._yaml'
+        ' and its location is subject to change.  To use the'
+        ' LibYAML-based parser and emitter, import from `yaml`:'
+        ' `from yaml import CLoader as Loader, CDumper as Dumper`.',
+        DeprecationWarning
+    )
+    del warnings
+    # Don't `del yaml` here because yaml is actually an existing
+    # namespace member of _yaml.
+
+__name__ = '_yaml'
+# If the module is top-level (i.e. not a part of any specific package)
+# then the attribute should be set to ''.
+# https://docs.python.org/3.8/library/types.html
+__package__ = ''

llmeval-env/lib/python3.10/site-packages/async_timeout/__init__.py

@@ -0,0 +1,239 @@
+import asyncio
+import enum
+import sys
+import warnings
+from types import TracebackType
+from typing import Optional, Type
+
+
+if sys.version_info >= (3, 8):
+    from typing import final
+else:
+    from typing_extensions import final
+
+
+if sys.version_info >= (3, 11):
+
+    def _uncancel_task(task: "asyncio.Task[object]") -> None:
+        task.uncancel()
+
+else:
+
+    def _uncancel_task(task: "asyncio.Task[object]") -> None:
+        pass
+
+
+__version__ = "4.0.3"
+
+
+__all__ = ("timeout", "timeout_at", "Timeout")
+
+
+def timeout(delay: Optional[float]) -> "Timeout":
+    """timeout context manager.
+
+    Useful in cases when you want to apply timeout logic around block
+    of code or in cases when asyncio.wait_for is not suitable. For example:
+
+    >>> async with timeout(0.001):
+    ...     async with aiohttp.get('https://github.com') as r:
+    ...         await r.text()
+
+
+    delay - value in seconds or None to disable timeout logic
+    """
+    loop = asyncio.get_running_loop()
+    if delay is not None:
+        deadline = loop.time() + delay  # type: Optional[float]
+    else:
+        deadline = None
+    return Timeout(deadline, loop)
+
+
+def timeout_at(deadline: Optional[float]) -> "Timeout":
+    """Schedule the timeout at absolute time.
+
+    deadline argument points on the time in the same clock system
+    as loop.time().
+
+    Please note: it is not POSIX time but a time with
+    undefined starting base, e.g. the time of the system power on.
+
+    >>> async with timeout_at(loop.time() + 10):
+    ...     async with aiohttp.get('https://github.com') as r:
+    ...         await r.text()
+
+
+    """
+    loop = asyncio.get_running_loop()
+    return Timeout(deadline, loop)
+
+
+class _State(enum.Enum):
+    INIT = "INIT"
+    ENTER = "ENTER"
+    TIMEOUT = "TIMEOUT"
+    EXIT = "EXIT"
+
+
+@final
+class Timeout:
+    # Internal class, please don't instantiate it directly
+    # Use timeout() and timeout_at() public factories instead.
+    #
+    # Implementation note: `async with timeout()` is preferred
+    # over `with timeout()`.
+    # While technically the Timeout class implementation
+    # doesn't need to be async at all,
+    # the `async with` statement explicitly points that
+    # the context manager should be used from async function context.
+    #
+    # This design allows to avoid many silly misusages.
+    #
+    # TimeoutError is raised immediately when scheduled
+    # if the deadline is passed.
+    # The purpose is to time out as soon as possible
+    # without waiting for the next await expression.
+
+    __slots__ = ("_deadline", "_loop", "_state", "_timeout_handler", "_task")
+
+    def __init__(
+        self, deadline: Optional[float], loop: asyncio.AbstractEventLoop
+    ) -> None:
+        self._loop = loop
+        self._state = _State.INIT
+
+        self._task: Optional["asyncio.Task[object]"] = None
+        self._timeout_handler = None  # type: Optional[asyncio.Handle]
+        if deadline is None:
+            self._deadline = None  # type: Optional[float]
+        else:
+            self.update(deadline)
+
+    def __enter__(self) -> "Timeout":
+        warnings.warn(
+            "with timeout() is deprecated, use async with timeout() instead",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        self._do_enter()
+        return self
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> Optional[bool]:
+        self._do_exit(exc_type)
+        return None
+
+    async def __aenter__(self) -> "Timeout":
+        self._do_enter()
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> Optional[bool]:
+        self._do_exit(exc_type)
+        return None
+
+    @property
+    def expired(self) -> bool:
+        """Is timeout expired during execution?"""
+        return self._state == _State.TIMEOUT
+
+    @property
+    def deadline(self) -> Optional[float]:
+        return self._deadline
+
+    def reject(self) -> None:
+        """Reject scheduled timeout if any."""
+        # cancel is maybe better name but
+        # task.cancel() raises CancelledError in asyncio world.
+        if self._state not in (_State.INIT, _State.ENTER):
+            raise RuntimeError(f"invalid state {self._state.value}")
+        self._reject()
+
+    def _reject(self) -> None:
+        self._task = None
+        if self._timeout_handler is not None:
+            self._timeout_handler.cancel()
+            self._timeout_handler = None
+
+    def shift(self, delay: float) -> None:
+        """Advance timeout on delay seconds.
+
+        The delay can be negative.
+
+        Raise RuntimeError if shift is called when deadline is not scheduled
+        """
+        deadline = self._deadline
+        if deadline is None:
+            raise RuntimeError("cannot shift timeout if deadline is not scheduled")
+        self.update(deadline + delay)
+
+    def update(self, deadline: float) -> None:
+        """Set deadline to absolute value.
+
+        deadline argument points on the time in the same clock system
+        as loop.time().
+
+        If new deadline is in the past the timeout is raised immediately.
+
+        Please note: it is not POSIX time but a time with
+        undefined starting base, e.g. the time of the system power on.
+        """
+        if self._state == _State.EXIT:
+            raise RuntimeError("cannot reschedule after exit from context manager")
+        if self._state == _State.TIMEOUT:
+            raise RuntimeError("cannot reschedule expired timeout")
+        if self._timeout_handler is not None:
+            self._timeout_handler.cancel()
+        self._deadline = deadline
+        if self._state != _State.INIT:
+            self._reschedule()
+
+    def _reschedule(self) -> None:
+        assert self._state == _State.ENTER
+        deadline = self._deadline
+        if deadline is None:
+            return
+
+        now = self._loop.time()
+        if self._timeout_handler is not None:
+            self._timeout_handler.cancel()
+
+        self._task = asyncio.current_task()
+        if deadline <= now:
+            self._timeout_handler = self._loop.call_soon(self._on_timeout)
+        else:
+            self._timeout_handler = self._loop.call_at(deadline, self._on_timeout)
+
+    def _do_enter(self) -> None:
+        if self._state != _State.INIT:
+            raise RuntimeError(f"invalid state {self._state.value}")
+        self._state = _State.ENTER
+        self._reschedule()
+
+    def _do_exit(self, exc_type: Optional[Type[BaseException]]) -> None:
+        if exc_type is asyncio.CancelledError and self._state == _State.TIMEOUT:
+            assert self._task is not None
+            _uncancel_task(self._task)
+            self._timeout_handler = None
+            self._task = None
+            raise asyncio.TimeoutError
+        # timeout has not expired
+        self._state = _State.EXIT
+        self._reject()
+        return None
+
+    def _on_timeout(self) -> None:
+        assert self._task is not None
+        self._task.cancel()
+        self._state = _State.TIMEOUT
+        # drop the reference early
+        self._timeout_handler = None

llmeval-env/lib/python3.10/site-packages/async_timeout/py.typed

@@ -0,0 +1 @@
+Placeholder

llmeval-env/lib/python3.10/site-packages/filelock-3.14.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

llmeval-env/lib/python3.10/site-packages/filelock-3.14.0.dist-info/METADATA

@@ -0,0 +1,56 @@
+Metadata-Version: 2.3
+Name: filelock
+Version: 3.14.0
+Summary: A platform independent file lock.
+Project-URL: Documentation, https://py-filelock.readthedocs.io
+Project-URL: Homepage, https://github.com/tox-dev/py-filelock
+Project-URL: Source, https://github.com/tox-dev/py-filelock
+Project-URL: Tracker, https://github.com/tox-dev/py-filelock/issues
+Maintainer-email: Bernát Gábor <[email protected]>
+License-Expression: Unlicense
+License-File: LICENSE
+Keywords: application,cache,directory,log,user
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: The Unlicense (Unlicense)
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Internet
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Topic :: System
+Requires-Python: >=3.8
+Provides-Extra: docs
+Requires-Dist: furo>=2023.9.10; extra == 'docs'
+Requires-Dist: sphinx-autodoc-typehints!=1.23.4,>=1.25.2; extra == 'docs'
+Requires-Dist: sphinx>=7.2.6; extra == 'docs'
+Provides-Extra: testing
+Requires-Dist: covdefaults>=2.3; extra == 'testing'
+Requires-Dist: coverage>=7.3.2; extra == 'testing'
+Requires-Dist: diff-cover>=8.0.1; extra == 'testing'
+Requires-Dist: pytest-cov>=4.1; extra == 'testing'
+Requires-Dist: pytest-mock>=3.12; extra == 'testing'
+Requires-Dist: pytest-timeout>=2.2; extra == 'testing'
+Requires-Dist: pytest>=7.4.3; extra == 'testing'
+Provides-Extra: typing
+Requires-Dist: typing-extensions>=4.8; (python_version < '3.11') and extra == 'typing'
+Description-Content-Type: text/markdown
+
+# filelock
+
+[![PyPI](https://img.shields.io/pypi/v/filelock)](https://pypi.org/project/filelock/)
+[![Supported Python
+versions](https://img.shields.io/pypi/pyversions/filelock.svg)](https://pypi.org/project/filelock/)
+[![Documentation
+status](https://readthedocs.org/projects/py-filelock/badge/?version=latest)](https://py-filelock.readthedocs.io/en/latest/?badge=latest)
+[![Code style:
+black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Downloads](https://static.pepy.tech/badge/filelock/month)](https://pepy.tech/project/filelock)
+[![check](https://github.com/tox-dev/py-filelock/actions/workflows/check.yml/badge.svg)](https://github.com/tox-dev/py-filelock/actions/workflows/check.yml)
+
+For more information checkout the [official documentation](https://py-filelock.readthedocs.io/en/latest/index.html).

llmeval-env/lib/python3.10/site-packages/filelock-3.14.0.dist-info/RECORD

@@ -0,0 +1,22 @@
+filelock-3.14.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+filelock-3.14.0.dist-info/METADATA,sha256=nSDS4Bqd1Rtvf-PB_bDjn0Dgu2kuL2GGCE1vM33KrlA,2792
+filelock-3.14.0.dist-info/RECORD,,
+filelock-3.14.0.dist-info/WHEEL,sha256=zEMcRr9Kr03x1ozGwg5v9NQBKn3kndp6LSoSlVg-jhU,87
+filelock-3.14.0.dist-info/licenses/LICENSE,sha256=iNm062BXnBkew5HKBMFhMFctfu3EqG2qWL8oxuFMm80,1210
+filelock/__init__.py,sha256=c_wPy9Fo0fmqE4V448Q2A2dDYnMTZeAVHX-kUoN3KCY,1214
+filelock/__pycache__/__init__.cpython-310.pyc,,
+filelock/__pycache__/_api.cpython-310.pyc,,
+filelock/__pycache__/_error.cpython-310.pyc,,
+filelock/__pycache__/_soft.cpython-310.pyc,,
+filelock/__pycache__/_unix.cpython-310.pyc,,
+filelock/__pycache__/_util.cpython-310.pyc,,
+filelock/__pycache__/_windows.cpython-310.pyc,,
+filelock/__pycache__/version.cpython-310.pyc,,
+filelock/_api.py,sha256=YrQpa5D3mB5VTEUZ8DHO1REvVu-WWmFRYgNaV3e6jOg,13028
+filelock/_error.py,sha256=-5jMcjTu60YAvAO1UbqDD1GIEjVkwr8xCFwDBtMeYDg,787
+filelock/_soft.py,sha256=haqtc_TB_KJbYv2a8iuEAclKuM4fMG1vTcp28sK919c,1711
+filelock/_unix.py,sha256=-FXP0tjInBHUYygOlMpp4taUmD87QOkrD_4ybg_iT7Q,2259
+filelock/_util.py,sha256=QHBoNFIYfbAThhotH3Q8E2acFc84wpG49-T-uu017ZE,1715
+filelock/_windows.py,sha256=eMKL8dZKrgekf5VYVGR14an29JGEInRtUO8ui9ABywg,2177
+filelock/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+filelock/version.py,sha256=Ipjekae6alpGZC2b94mJAE2S2ZyJybTBe3oNCWsIFS4,413

llmeval-env/lib/python3.10/site-packages/filelock-3.14.0.dist-info/WHEEL

@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: hatchling 1.24.2
+Root-Is-Purelib: true
+Tag: py3-none-any

llmeval-env/lib/python3.10/site-packages/filelock-3.14.0.dist-info/licenses/LICENSE

@@ -0,0 +1,24 @@
+This is free and unencumbered software released into the public domain.
+
+Anyone is free to copy, modify, publish, use, compile, sell, or
+distribute this software, either in source code form or as a compiled
+binary, for any purpose, commercial or non-commercial, and by any
+means.
+
+In jurisdictions that recognize copyright laws, the author or authors
+of this software dedicate any and all copyright interest in the
+software to the public domain. We make this dedication for the benefit
+of the public at large and to the detriment of our heirs and
+successors. We intend this dedication to be an overt act of
+relinquishment in perpetuity of all present and future rights to this
+software under copyright law.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
+OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
+ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+OTHER DEALINGS IN THE SOFTWARE.
+
+For more information, please refer to <http://unlicense.org>

llmeval-env/lib/python3.10/site-packages/mbstrdecoder/__init__.py

@@ -0,0 +1,13 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+from .__version__ import __author__, __copyright__, __email__, __license__, __version__
+from ._func import detect_file_encoding
+from ._mbstrdecoder import MultiByteStrDecoder
+
+
+__all__ = (
+    "detect_file_encoding",
+    "MultiByteStrDecoder",
+)

llmeval-env/lib/python3.10/site-packages/mbstrdecoder/__version__.py

@@ -0,0 +1,6 @@
+__author__ = "Tsuyoshi Hombashi"
+__copyright__ = f"Copyright 2016, {__author__}"
+__license__ = "MIT License"
+__version__ = "1.1.3"
+__maintainer__ = __author__
+__email__ = "[email protected]"

llmeval-env/lib/python3.10/site-packages/mbstrdecoder/_binary_ext_checker.py

@@ -0,0 +1,264 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+import os.path
+
+
+# list from https://github.com/sindresorhus/binary-extensions
+binary_exts = (
+    "3dm",
+    "3ds",
+    "3g2",
+    "3gp",
+    "7z",
+    "a",
+    "aac",
+    "adp",
+    "ai",
+    "aif",
+    "aiff",
+    "alz",
+    "ape",
+    "apk",
+    "ar",
+    "arj",
+    "asf",
+    "au",
+    "avi",
+    "bak",
+    "baml",
+    "bh",
+    "bin",
+    "bk",
+    "bmp",
+    "btif",
+    "bz2",
+    "bzip2",
+    "cab",
+    "caf",
+    "cgm",
+    "class",
+    "cmx",
+    "cpio",
+    "cr2",
+    "cur",
+    "dat",
+    "dcm",
+    "deb",
+    "dex",
+    "djvu",
+    "dll",
+    "dmg",
+    "dng",
+    "doc",
+    "docm",
+    "docx",
+    "dot",
+    "dotm",
+    "dra",
+    "DS_Store",
+    "dsk",
+    "dts",
+    "dtshd",
+    "dvb",
+    "dwg",
+    "dxf",
+    "ecelp4800",
+    "ecelp7470",
+    "ecelp9600",
+    "egg",
+    "eol",
+    "eot",
+    "epub",
+    "exe",
+    "f4v",
+    "fbs",
+    "fh",
+    "fla",
+    "flac",
+    "fli",
+    "flv",
+    "fpx",
+    "fst",
+    "fvt",
+    "g3",
+    "gh",
+    "gif",
+    "graffle",
+    "gz",
+    "gzip",
+    "h261",
+    "h263",
+    "h264",
+    "icns",
+    "ico",
+    "ief",
+    "img",
+    "ipa",
+    "iso",
+    "jar",
+    "jpeg",
+    "jpg",
+    "jpgv",
+    "jpm",
+    "jxr",
+    "key",
+    "ktx",
+    "lha",
+    "lib",
+    "lvp",
+    "lz",
+    "lzh",
+    "lzma",
+    "lzo",
+    "m3u",
+    "m4a",
+    "m4v",
+    "mar",
+    "mdi",
+    "mht",
+    "mid",
+    "midi",
+    "mj2",
+    "mka",
+    "mkv",
+    "mmr",
+    "mng",
+    "mobi",
+    "mov",
+    "movie",
+    "mp3",
+    "mp4",
+    "mp4a",
+    "mpeg",
+    "mpg",
+    "mpga",
+    "mxu",
+    "nef",
+    "npx",
+    "numbers",
+    "nupkg",
+    "o",
+    "oga",
+    "ogg",
+    "ogv",
+    "otf",
+    "pages",
+    "pbm",
+    "pcx",
+    "pdb",
+    "pdf",
+    "pea",
+    "pgm",
+    "pic",
+    "png",
+    "pnm",
+    "pot",
+    "potm",
+    "potx",
+    "ppa",
+    "ppam",
+    "ppm",
+    "pps",
+    "ppsm",
+    "ppsx",
+    "ppt",
+    "pptm",
+    "pptx",
+    "psd",
+    "pya",
+    "pyc",
+    "pyo",
+    "pyv",
+    "qt",
+    "rar",
+    "ras",
+    "raw",
+    "resources",
+    "rgb",
+    "rip",
+    "rlc",
+    "rmf",
+    "rmvb",
+    "rtf",
+    "rz",
+    "s3m",
+    "s7z",
+    "scpt",
+    "sgi",
+    "shar",
+    "sil",
+    "sketch",
+    "slk",
+    "smv",
+    "snk",
+    "so",
+    "stl",
+    "suo",
+    "sub",
+    "swf",
+    "tar",
+    "tbz",
+    "tbz2",
+    "tga",
+    "tgz",
+    "thmx",
+    "tif",
+    "tiff",
+    "tlz",
+    "ttc",
+    "ttf",
+    "txz",
+    "udf",
+    "uvh",
+    "uvi",
+    "uvm",
+    "uvp",
+    "uvs",
+    "uvu",
+    "viv",
+    "vob",
+    "war",
+    "wav",
+    "wax",
+    "wbmp",
+    "wdp",
+    "weba",
+    "webm",
+    "webp",
+    "whl",
+    "wim",
+    "wm",
+    "wma",
+    "wmv",
+    "wmx",
+    "woff",
+    "woff2",
+    "wrm",
+    "wvx",
+    "xbm",
+    "xif",
+    "xla",
+    "xlam",
+    "xls",
+    "xlsb",
+    "xlsm",
+    "xlsx",
+    "xlt",
+    "xltm",
+    "xltx",
+    "xm",
+    "xmind",
+    "xpi",
+    "xpm",
+    "xwd",
+    "xz",
+    "z",
+    "zip",
+    "zipx",
+)
+
+
+def is_binary_ext_path(filepath) -> bool:
+    return os.path.splitext(filepath)[1].lstrip(".") in binary_exts

llmeval-env/lib/python3.10/site-packages/mbstrdecoder/_func.py

@@ -0,0 +1,56 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+import os
+import stat
+from errno import EBADF, ENOENT, ENOTDIR
+from typing import Optional, Union
+
+from ._binary_ext_checker import is_binary_ext_path
+
+
+def is_fifo(file_path: Union[int, bytes, str]) -> bool:
+    try:
+        return stat.S_ISFIFO(os.stat(file_path).st_mode)
+    except OSError as e:
+        if e.errno not in (ENOENT, ENOTDIR, EBADF):
+            raise
+
+        return False
+    except ValueError:
+        return False
+
+
+def to_codec_name(name: Optional[str]) -> Optional[str]:
+    if not name:
+        return None
+
+    return name.lower().replace("-", "_")
+
+
+def detect_file_encoding(file_path) -> Optional[str]:
+    from chardet.universaldetector import UniversalDetector
+
+    if not os.path.isfile(file_path) or is_binary_ext_path(file_path) or is_fifo(file_path):
+        return None
+
+    detector = UniversalDetector()
+    READ_SIZE = 4 * 1024
+
+    try:
+        with open(file_path, mode="rb") as f:
+            while True:
+                binary = f.read(READ_SIZE)
+                if not binary:
+                    break
+
+                detector.feed(binary)
+                if detector.done:
+                    break
+    except OSError:
+        return None
+    finally:
+        detector.close()
+
+    return to_codec_name(detector.result.get("encoding"))

llmeval-env/lib/python3.10/site-packages/mbstrdecoder/_mbstrdecoder.py

@@ -0,0 +1,291 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+import copy
+import re
+from typing import List, Optional, Sequence
+
+from ._func import to_codec_name
+
+
+def b(s: str) -> bytes:
+    return s.encode("latin-1")
+
+
+class MultiByteStrDecoder:
+    """
+    Reference:
+        https://docs.python.org/3/library/codecs.html
+    """
+
+    __CODECS = [
+        "utf_7",
+        "utf_8",
+        "utf_8_sig",
+        "utf_16",
+        "utf_16_be",
+        "utf_16_le",
+        "utf_32",
+        "utf_32_be",
+        "utf_32_le",
+        "big5",
+        "big5hkscs",
+        "cp037",
+        "cp424",
+        "cp437",
+        "cp500",
+        "cp720",
+        "cp737",
+        "cp775",
+        "cp850",
+        "cp852",
+        "cp855",
+        "cp856",
+        "cp857",
+        "cp858",
+        "cp860",
+        "cp861",
+        "cp862",
+        "cp863",
+        "cp864",
+        "cp865",
+        "cp866",
+        "cp869",
+        "cp874",
+        "cp875",
+        "cp932",
+        "cp949",
+        "cp950",
+        "cp1006",
+        "cp1026",
+        "cp1140",
+        "cp1250",
+        "cp1251",
+        "cp1252",
+        "cp1253",
+        "cp1254",
+        "cp1255",
+        "cp1256",
+        "cp1257",
+        "cp1258",
+        "euc_jp",
+        "euc_jis_2004",
+        "euc_jisx0213",
+        "euc_kr",
+        "gb2312",
+        "gbk",
+        "gb18030",
+        "hz",
+        "iso2022_jp",
+        "iso2022_jp_1",
+        "iso2022_jp_2",
+        "iso2022_jp_2004",
+        "iso2022_jp_3",
+        "iso2022_jp_ext",
+        "iso2022_kr",
+        "latin_1",
+        "iso8859_2",
+        "iso8859_3",
+        "iso8859_4",
+        "iso8859_5",
+        "iso8859_6",
+        "iso8859_7",
+        "iso8859_8",
+        "iso8859_9",
+        "iso8859_10",
+        "iso8859_11",
+        "iso8859_13",
+        "iso8859_14",
+        "iso8859_15",
+        "iso8859_16",
+        "johab",
+        "koi8_r",
+        "koi8_u",
+        "mac_cyrillic",
+        "mac_greek",
+        "mac_iceland",
+        "mac_latin2",
+        "mac_roman",
+        "mac_turkish",
+        "ptcp154",
+        "shift_jis",
+        "shift_jis_2004",
+        "shift_jisx0213",
+        "base64_codec",
+        "bz2_codec",
+        "hex_codec",
+        "idna",
+        "mbcs",
+        "palmos",
+        "punycode",
+        "quopri_codec",
+        "raw_unicode_escape",
+        "rot_13",
+        "string_escape",
+        "unicode_escape",
+        "unicode_internal",
+        "uu_codec",
+        "zlib_codec",
+    ]
+    __RE_UTF7 = re.compile(b("[+].*?[-]"))
+
+    @property
+    def unicode_str(self) -> str:
+        return self.__unicode_str
+
+    @property
+    def codec(self) -> Optional[str]:
+        return self.__codec
+
+    def __init__(self, value, codec_candidates: Optional[Sequence[str]] = None) -> None:
+        self.__encoded_str = value
+        self.__codec: Optional[str] = None
+        if codec_candidates is None:
+            self.__codec_candidate_list: List[str] = []
+        else:
+            self.__codec_candidate_list = list(codec_candidates)
+
+        self.__validate_str()
+
+        self.__unicode_str = self.__to_unicode()
+
+    def __repr__(self) -> str:
+        return f"codec={self.codec:s}, unicode={self.unicode_str:s}"
+
+    def __validate_str(self) -> None:
+        if isinstance(self.__encoded_str, (str, bytes)):
+            return
+
+        raise ValueError(f"value must be a string: actual={type(self.__encoded_str)}")
+
+    def __is_buffer(self) -> bool:
+        return isinstance(self.__encoded_str, memoryview)
+
+    def __is_multibyte_utf7(self, encoded_str) -> bool:
+        if self.__codec != "utf_7":
+            return False
+
+        utf7_symbol_count = encoded_str.count(b("+"))
+        if utf7_symbol_count <= 0:
+            return False
+
+        if utf7_symbol_count != encoded_str.count(b("-")):
+            return False
+
+        return utf7_symbol_count == len(self.__RE_UTF7.findall(encoded_str))
+
+    def __get_encoded_str(self) -> str:
+        if self.__is_buffer():
+            return str(self.__encoded_str)
+
+        return self.__encoded_str
+
+    @staticmethod
+    def __detect_encoding_helper(encoded_str) -> Optional[str]:
+        import chardet
+
+        try:
+            detect = chardet.detect(encoded_str)
+        except TypeError:
+            detect = {}  # type: ignore
+
+        detect_encoding = detect.get("encoding")
+        confidence = detect.get("confidence")
+
+        if detect_encoding not in ["ascii", "utf-8"] and confidence and confidence > 0.7:
+            # utf7 tend to be misrecognized as ascii
+            return detect_encoding
+
+        return None
+
+    def __get_codec_candidate_list(self, encoded_str) -> List[str]:
+        codec_candidate_list = copy.deepcopy(self.__CODECS)
+        detect_encoding = self.__detect_encoding_helper(encoded_str)
+
+        if detect_encoding:
+            try:
+                codec_candidate_list.remove(detect_encoding)
+            except ValueError:
+                pass
+
+            codec_candidate_list.insert(0, detect_encoding)
+
+        for codec_candidate in self.__codec_candidate_list:
+            try:
+                codec_candidate_list.remove(codec_candidate)
+            except ValueError:
+                pass
+
+        return self.__codec_candidate_list + codec_candidate_list
+
+    def __to_unicode(self):
+        encoded_str = self.__get_encoded_str()
+
+        if encoded_str == b"":
+            self.__codec = "unicode"
+            return ""
+
+        for codec in self.__get_codec_candidate_list(encoded_str):
+            if not codec:
+                continue
+
+            try:
+                self.__codec = to_codec_name(codec)
+                decoded_str = encoded_str.decode(codec)
+                break
+            except UnicodeDecodeError:
+                self.__codec = None
+                continue
+            except AttributeError:
+                if isinstance(encoded_str, str):
+                    # already a unicode string (python 3)
+                    self.__codec = "unicode"
+
+                    if not encoded_str:
+                        return encoded_str
+
+                    return encoded_str
+
+                self.__codec = None
+
+                try:
+                    return f"{encoded_str}"
+                except UnicodeDecodeError:
+                    # some of the objects that cannot convertible to a string
+                    # may reach this line
+                    raise TypeError("argument must be a string")
+        else:
+            self.__codec = None
+
+            try:
+                message = f"unknown codec: encoded_str={encoded_str}"
+            except UnicodeDecodeError:
+                message = f"unknown codec: value-type={type(encoded_str)}"
+
+            raise UnicodeDecodeError(message)
+
+        if self.codec == "utf_7":
+            return self.__process_utf7(encoded_str, decoded_str)
+
+        return decoded_str
+
+    def __process_utf7(self, encoded_str, decoded_str) -> str:
+        if not encoded_str:
+            self.__codec = "unicode"
+
+            return encoded_str
+
+        if self.__is_multibyte_utf7(encoded_str):
+            try:
+                decoded_str.encode("ascii")
+
+                self.__codec = "ascii"
+
+                return encoded_str.decode("ascii")
+            except UnicodeEncodeError:
+                return decoded_str
+
+        self.__codec = "ascii"
+
+        return encoded_str.decode("ascii")

llmeval-env/lib/python3.10/site-packages/nvidia_nvjitlink_cu12-12.4.127.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

llmeval-env/lib/python3.10/site-packages/nvidia_nvjitlink_cu12-12.4.127.dist-info/METADATA

@@ -0,0 +1,35 @@
+Metadata-Version: 2.1
+Name: nvidia-nvjitlink-cu12
+Version: 12.4.127
+Summary: Nvidia JIT LTO Library
+Home-page: https://developer.nvidia.com/cuda-zone
+Author: Nvidia CUDA Installer Team
+Author-email: [email protected]
+License: NVIDIA Proprietary Software
+Keywords: cuda,nvidia,runtime,machine learning,deep learning
+Classifier: Development Status :: 4 - Beta
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: Other/Proprietary License
+Classifier: Natural Language :: English
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Topic :: Scientific/Engineering
+Classifier: Topic :: Scientific/Engineering :: Mathematics
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Classifier: Topic :: Software Development
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: POSIX :: Linux
+Requires-Python: >=3
+License-File: License.txt
+
+NVIDIA compiler library for JIT LTO functionality.

llmeval-env/lib/python3.10/site-packages/nvidia_nvjitlink_cu12-12.4.127.dist-info/RECORD

@@ -0,0 +1,16 @@
+nvidia/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+nvidia/__pycache__/__init__.cpython-310.pyc,,
+nvidia/nvjitlink/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+nvidia/nvjitlink/__pycache__/__init__.cpython-310.pyc,,
+nvidia/nvjitlink/include/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+nvidia/nvjitlink/include/__pycache__/__init__.cpython-310.pyc,,
+nvidia/nvjitlink/include/nvJitLink.h,sha256=6P2KtTBXDDOsbxIi0Nr9Ot8_fh9XvsSAaDhaElJwLQU,16496
+nvidia/nvjitlink/lib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+nvidia/nvjitlink/lib/__pycache__/__init__.cpython-310.pyc,,
+nvidia/nvjitlink/lib/libnvJitLink.so.12,sha256=y9FIi774K41kwt1Rqbau8_awvDp6gKmCG-SNHAf3AOc,53594512
+nvidia_nvjitlink_cu12-12.4.127.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+nvidia_nvjitlink_cu12-12.4.127.dist-info/License.txt,sha256=rW9YU_ugyg0VnQ9Y1JrkmDDC-Mk_epJki5zpCttMbM0,59262
+nvidia_nvjitlink_cu12-12.4.127.dist-info/METADATA,sha256=Tkm9zx69iT4wHTNBYxiPi30271awlBpcUiAg1itXbn0,1518
+nvidia_nvjitlink_cu12-12.4.127.dist-info/RECORD,,
+nvidia_nvjitlink_cu12-12.4.127.dist-info/WHEEL,sha256=XDTs3wIbcE-BcRO08VJlZpA6z9OaC1mOKPCGGGwuM2g,109
+nvidia_nvjitlink_cu12-12.4.127.dist-info/top_level.txt,sha256=fTkAtiFuL16nUrB9ytDDtpytz2t0B4NvYTnRzwAhO14,7

llmeval-env/lib/python3.10/site-packages/nvidia_nvjitlink_cu12-12.4.127.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.42.0)
+Root-Is-Purelib: true
+Tag: py3-none-manylinux2014_x86_64
+

llmeval-env/lib/python3.10/site-packages/nvidia_nvjitlink_cu12-12.4.127.dist-info/top_level.txt

@@ -0,0 +1 @@
+nvidia

llmeval-env/lib/python3.10/site-packages/requests-2.31.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

llmeval-env/lib/python3.10/site-packages/requests-2.31.0.dist-info/LICENSE

@@ -0,0 +1,175 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
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+      and distribution as defined by Sections 1 through 9 of this document.
+
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+
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+      whether in tort (including negligence), contract, or otherwise,
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+      of your accepting any such warranty or additional liability.

llmeval-env/lib/python3.10/site-packages/requests-2.31.0.dist-info/METADATA

@@ -0,0 +1,122 @@
+Metadata-Version: 2.1
+Name: requests
+Version: 2.31.0
+Summary: Python HTTP for Humans.
+Home-page: https://requests.readthedocs.io
+Author: Kenneth Reitz
+Author-email: [email protected]
+License: Apache 2.0
+Project-URL: Documentation, https://requests.readthedocs.io
+Project-URL: Source, https://github.com/psf/requests
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Web Environment
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: Apache Software License
+Classifier: Natural Language :: English
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Internet :: WWW/HTTP
+Classifier: Topic :: Software Development :: Libraries
+Requires-Python: >=3.7
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: charset-normalizer (<4,>=2)
+Requires-Dist: idna (<4,>=2.5)
+Requires-Dist: urllib3 (<3,>=1.21.1)
+Requires-Dist: certifi (>=2017.4.17)
+Provides-Extra: security
+Provides-Extra: socks
+Requires-Dist: PySocks (!=1.5.7,>=1.5.6) ; extra == 'socks'
+Provides-Extra: use_chardet_on_py3
+Requires-Dist: chardet (<6,>=3.0.2) ; extra == 'use_chardet_on_py3'
+
+# Requests
+
+**Requests** is a simple, yet elegant, HTTP library.
+
+```python
+>>> import requests
+>>> r = requests.get('https://httpbin.org/basic-auth/user/pass', auth=('user', 'pass'))
+>>> r.status_code
+200
+>>> r.headers['content-type']
+'application/json; charset=utf8'
+>>> r.encoding
+'utf-8'
+>>> r.text
+'{"authenticated": true, ...'
+>>> r.json()
+{'authenticated': True, ...}
+```
+
+Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your `PUT` & `POST` data — but nowadays, just use the `json` method!
+
+Requests is one of the most downloaded Python packages today, pulling in around `30M downloads / week`— according to GitHub, Requests is currently [depended upon](https://github.com/psf/requests/network/dependents?package_id=UGFja2FnZS01NzA4OTExNg%3D%3D) by `1,000,000+` repositories. You may certainly put your trust in this code.
+
+[![Downloads](https://pepy.tech/badge/requests/month)](https://pepy.tech/project/requests)
+[![Supported Versions](https://img.shields.io/pypi/pyversions/requests.svg)](https://pypi.org/project/requests)
+[![Contributors](https://img.shields.io/github/contributors/psf/requests.svg)](https://github.com/psf/requests/graphs/contributors)
+
+## Installing Requests and Supported Versions
+
+Requests is available on PyPI:
+
+```console
+$ python -m pip install requests
+```
+
+Requests officially supports Python 3.7+.
+
+## Supported Features & Best–Practices
+
+Requests is ready for the demands of building robust and reliable HTTP–speaking applications, for the needs of today.
+
+- Keep-Alive & Connection Pooling
+- International Domains and URLs
+- Sessions with Cookie Persistence
+- Browser-style TLS/SSL Verification
+- Basic & Digest Authentication
+- Familiar `dict`–like Cookies
+- Automatic Content Decompression and Decoding
+- Multi-part File Uploads
+- SOCKS Proxy Support
+- Connection Timeouts
+- Streaming Downloads
+- Automatic honoring of `.netrc`
+- Chunked HTTP Requests
+
+## API Reference and User Guide available on [Read the Docs](https://requests.readthedocs.io)
+
+[![Read the Docs](https://raw.githubusercontent.com/psf/requests/main/ext/ss.png)](https://requests.readthedocs.io)
+
+## Cloning the repository
+
+When cloning the Requests repository, you may need to add the `-c
+fetch.fsck.badTimezone=ignore` flag to avoid an error about a bad commit (see
+[this issue](https://github.com/psf/requests/issues/2690) for more background):
+
+```shell
+git clone -c fetch.fsck.badTimezone=ignore https://github.com/psf/requests.git
+```
+
+You can also apply this setting to your global Git config:
+
+```shell
+git config --global fetch.fsck.badTimezone ignore
+```
+
+---
+
+[![Kenneth Reitz](https://raw.githubusercontent.com/psf/requests/main/ext/kr.png)](https://kennethreitz.org) [![Python Software Foundation](https://raw.githubusercontent.com/psf/requests/main/ext/psf.png)](https://www.python.org/psf)
+
+

llmeval-env/lib/python3.10/site-packages/requests-2.31.0.dist-info/RECORD

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+requests-2.31.0.dist-info/top_level.txt,sha256=fMSVmHfb5rbGOo6xv-O_tUX6j-WyixssE-SnwcDRxNQ,9
+requests/__init__.py,sha256=LvmKhjIz8mHaKXthC2Mv5ykZ1d92voyf3oJpd-VuAig,4963
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+requests/__pycache__/api.cpython-310.pyc,,
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+requests/__pycache__/certs.cpython-310.pyc,,
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+requests/__version__.py,sha256=ssI3Ezt7PaxgkOW45GhtwPUclo_SO_ygtIm4A74IOfw,435
+requests/_internal_utils.py,sha256=nMQymr4hs32TqVo5AbCrmcJEhvPUh7xXlluyqwslLiQ,1495
+requests/adapters.py,sha256=v_FmjU5KZ76k-YttShZYB5RprIzhhL8Y3zgW9p4eBQ8,19553
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+requests/compat.py,sha256=yxntVOSEHGMrn7FNr_32EEam1ZNAdPRdSE13_yaHzTk,1451
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+requests/exceptions.py,sha256=DhveFBclVjTRxhRduVpO-GbMYMID2gmjdLfNEqNpI_U,3811
+requests/help.py,sha256=gPX5d_H7Xd88aDABejhqGgl9B1VFRTt5BmiYvL3PzIQ,3875
+requests/hooks.py,sha256=CiuysiHA39V5UfcCBXFIx83IrDpuwfN9RcTUgv28ftQ,733
+requests/models.py,sha256=-DlKi0or8gFAM6VzutobXvvBW_2wrJuOF5NfndTIddA,35223
+requests/packages.py,sha256=DXgv-FJIczZITmv0vEBAhWj4W-5CGCIN_ksvgR17Dvs,957
+requests/sessions.py,sha256=-LvTzrPtetSTrR3buxu4XhdgMrJFLB1q5D7P--L2Xhw,30373
+requests/status_codes.py,sha256=FvHmT5uH-_uimtRz5hH9VCbt7VV-Nei2J9upbej6j8g,4235
+requests/structures.py,sha256=-IbmhVz06S-5aPSZuUthZ6-6D9XOjRuTXHOabY041XM,2912
+requests/utils.py,sha256=6sx2X3cIVA8BgWOg8odxFy-_lbWDFETU8HI4fU4Rmqw,33448

llmeval-env/lib/python3.10/site-packages/requests-2.31.0.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.40.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

llmeval-env/lib/python3.10/site-packages/requests-2.31.0.dist-info/top_level.txt

@@ -0,0 +1 @@
+requests

llmeval-env/lib/python3.10/site-packages/safetensors-0.4.3.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

llmeval-env/lib/python3.10/site-packages/safetensors-0.4.3.dist-info/METADATA

@@ -0,0 +1,127 @@
+Metadata-Version: 2.3
+Name: safetensors
+Version: 0.4.3
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: Apache Software License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Classifier: Typing :: Typed
+Requires-Dist: numpy >=1.21.6 ; extra == 'numpy'
+Requires-Dist: safetensors[numpy] ; extra == 'torch'
+Requires-Dist: torch >=1.10 ; extra == 'torch'
+Requires-Dist: safetensors[numpy] ; extra == 'tensorflow'
+Requires-Dist: tensorflow >=2.11.0 ; extra == 'tensorflow'
+Requires-Dist: safetensors[numpy] ; extra == 'pinned-tf'
+Requires-Dist: tensorflow ==2.11.0 ; extra == 'pinned-tf'
+Requires-Dist: safetensors[numpy] ; extra == 'jax'
+Requires-Dist: flax >=0.6.3 ; extra == 'jax'
+Requires-Dist: jax >=0.3.25 ; extra == 'jax'
+Requires-Dist: jaxlib >=0.3.25 ; extra == 'jax'
+Requires-Dist: mlx >=0.0.9 ; extra == 'mlx'
+Requires-Dist: safetensors[numpy] ; extra == 'paddlepaddle'
+Requires-Dist: paddlepaddle >=2.4.1 ; extra == 'paddlepaddle'
+Requires-Dist: black ==22.3 ; extra == 'quality'
+Requires-Dist: click ==8.0.4 ; extra == 'quality'
+Requires-Dist: isort >=5.5.4 ; extra == 'quality'
+Requires-Dist: flake8 >=3.8.3 ; extra == 'quality'
+Requires-Dist: safetensors[numpy] ; extra == 'testing'
+Requires-Dist: h5py >=3.7.0 ; extra == 'testing'
+Requires-Dist: huggingface-hub >=0.12.1 ; extra == 'testing'
+Requires-Dist: setuptools-rust >=1.5.2 ; extra == 'testing'
+Requires-Dist: pytest >=7.2.0 ; extra == 'testing'
+Requires-Dist: pytest-benchmark >=4.0.0 ; extra == 'testing'
+Requires-Dist: hypothesis >=6.70.2 ; extra == 'testing'
+Requires-Dist: safetensors[torch] ; extra == 'all'
+Requires-Dist: safetensors[numpy] ; extra == 'all'
+Requires-Dist: safetensors[pinned-tf] ; extra == 'all'
+Requires-Dist: safetensors[jax] ; extra == 'all'
+Requires-Dist: safetensors[paddlepaddle] ; extra == 'all'
+Requires-Dist: safetensors[quality] ; extra == 'all'
+Requires-Dist: safetensors[testing] ; extra == 'all'
+Requires-Dist: safetensors[all] ; extra == 'dev'
+Provides-Extra: numpy
+Provides-Extra: torch
+Provides-Extra: tensorflow
+Provides-Extra: pinned-tf
+Provides-Extra: jax
+Provides-Extra: mlx
+Provides-Extra: paddlepaddle
+Provides-Extra: quality
+Provides-Extra: testing
+Provides-Extra: all
+Provides-Extra: dev
+Author-email: Nicolas Patry <[email protected]>
+Requires-Python: >=3.7
+Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
+Project-URL: Homepage, https://github.com/huggingface/safetensors
+Project-URL: Source, https://github.com/huggingface/safetensors
+
+## Installation
+
+```
+pip install safetensors
+```
+
+
+## Usage
+
+### Numpy
+
+```python
+from safetensors.numpy import save_file, load_file
+import numpy as np
+
+tensors = {
+   "a": np.zeros((2, 2)),
+   "b": np.zeros((2, 3), dtype=np.uint8)
+}
+
+save_file(tensors, "./model.safetensors")
+
+
+# Now loading
+loaded = load_file("./model.safetensors")
+```
+
+### Torch
+
+```python
+from safetensors.torch import save_file, load_file
+import torch
+
+tensors = {
+   "a": torch.zeros((2, 2)),
+   "b": torch.zeros((2, 3), dtype=torch.uint8)
+}
+
+save_file(tensors, "./model.safetensors")
+
+
+# Now loading
+loaded = load_file("./model.safetensors")
+```
+
+### Developing
+
+```
+# inside ./safetensors/bindings/python
+pip install .[dev]
+```
+Should be enough to install this library locally.
+
+### Testing
+
+```
+# inside ./safetensors/bindings/python
+pip install .[dev]
+pytest -sv tests/
+```
+

llmeval-env/lib/python3.10/site-packages/safetensors-0.4.3.dist-info/RECORD

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+safetensors-0.4.3.dist-info/METADATA,sha256=xyYOydMNNt9ejapL8t76ASs9iTE5oS7IrZOQl8e4wK0,3842
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+safetensors-0.4.3.dist-info/WHEEL,sha256=JL8sd1C0RQ2f7cmwbAn1Jp257v_vSS2r0VvTBpJeZwA,129
+safetensors/__init__.py,sha256=rFhZV2HBVDIijU2xKjg-0viTLETa-yMLMgFC9-47hdc,171
+safetensors/__init__.pyi,sha256=z6kNUzegHpyQAtFLtHu7ixUYWK9-Kwb6GqvV__6qMew,1970
+safetensors/__pycache__/__init__.cpython-310.pyc,,
+safetensors/__pycache__/flax.cpython-310.pyc,,
+safetensors/__pycache__/mlx.cpython-310.pyc,,
+safetensors/__pycache__/numpy.cpython-310.pyc,,
+safetensors/__pycache__/paddle.cpython-310.pyc,,
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+safetensors/__pycache__/torch.cpython-310.pyc,,
+safetensors/_safetensors_rust.cpython-310-x86_64-linux-gnu.so,sha256=tjRccWtdZ62y0_JHfAfAsaIUpwqny3EQHZkyeroL-qA,4438576
+safetensors/flax.py,sha256=AuyY2YHxTBy4xeQLxhAyMledHykpz0Qsys13eKiHNYg,3846
+safetensors/mlx.py,sha256=7OTFtbdmGIqLnrjo_36RJRJ7zq1aI6HasvRPLB3d_Gw,3837
+safetensors/numpy.py,sha256=5Z_wSFRxVbsAXpnej2zuqtdYK9K-nqZs1EE_G14C6Ck,4937
+safetensors/paddle.py,sha256=V_RCTXymi2PJAG_jA4-qnfzbYAUB_74VYYXFzhXTLYM,4175
+safetensors/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+safetensors/tensorflow.py,sha256=6XaUBcxm0xL4ulNcvVsllKZ_qJ_rBSlE50rNnECCNYQ,3890
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llmeval-env/lib/python3.10/site-packages/safetensors-0.4.3.dist-info/WHEEL

@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: maturin (1.5.1)
+Root-Is-Purelib: false
+Tag: cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64

llmeval-env/lib/python3.10/site-packages/setuptools-59.6.0.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.37.1)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

llmeval-env/lib/python3.10/site-packages/setuptools-59.6.0.dist-info/entry_points.txt

@@ -0,0 +1,56 @@
+[distutils.commands]
+alias = setuptools.command.alias:alias
+bdist_egg = setuptools.command.bdist_egg:bdist_egg
+bdist_rpm = setuptools.command.bdist_rpm:bdist_rpm
+build_clib = setuptools.command.build_clib:build_clib
+build_ext = setuptools.command.build_ext:build_ext
+build_py = setuptools.command.build_py:build_py
+develop = setuptools.command.develop:develop
+dist_info = setuptools.command.dist_info:dist_info
+easy_install = setuptools.command.easy_install:easy_install
+egg_info = setuptools.command.egg_info:egg_info
+install = setuptools.command.install:install
+install_egg_info = setuptools.command.install_egg_info:install_egg_info
+install_lib = setuptools.command.install_lib:install_lib
+install_scripts = setuptools.command.install_scripts:install_scripts
+rotate = setuptools.command.rotate:rotate
+saveopts = setuptools.command.saveopts:saveopts
+sdist = setuptools.command.sdist:sdist
+setopt = setuptools.command.setopt:setopt
+test = setuptools.command.test:test
+upload_docs = setuptools.command.upload_docs:upload_docs
+
+[distutils.setup_keywords]
+dependency_links = setuptools.dist:assert_string_list
+eager_resources = setuptools.dist:assert_string_list
+entry_points = setuptools.dist:check_entry_points
+exclude_package_data = setuptools.dist:check_package_data
+extras_require = setuptools.dist:check_extras
+include_package_data = setuptools.dist:assert_bool
+install_requires = setuptools.dist:check_requirements
+namespace_packages = setuptools.dist:check_nsp
+package_data = setuptools.dist:check_package_data
+packages = setuptools.dist:check_packages
+python_requires = setuptools.dist:check_specifier
+setup_requires = setuptools.dist:check_requirements
+test_loader = setuptools.dist:check_importable
+test_runner = setuptools.dist:check_importable
+test_suite = setuptools.dist:check_test_suite
+tests_require = setuptools.dist:check_requirements
+use_2to3 = setuptools.dist:invalid_unless_false
+zip_safe = setuptools.dist:assert_bool
+
+[egg_info.writers]
+PKG-INFO = setuptools.command.egg_info:write_pkg_info
+dependency_links.txt = setuptools.command.egg_info:overwrite_arg
+depends.txt = setuptools.command.egg_info:warn_depends_obsolete
+eager_resources.txt = setuptools.command.egg_info:overwrite_arg
+entry_points.txt = setuptools.command.egg_info:write_entries
+namespace_packages.txt = setuptools.command.egg_info:overwrite_arg
+requires.txt = setuptools.command.egg_info:write_requirements
+top_level.txt = setuptools.command.egg_info:write_toplevel_names
+
+[setuptools.finalize_distribution_options]
+keywords = setuptools.dist:Distribution._finalize_setup_keywords
+parent_finalize = setuptools.dist:_Distribution.finalize_options
+

llmeval-env/lib/python3.10/site-packages/tabledata-1.3.3.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

llmeval-env/lib/python3.10/site-packages/tabledata-1.3.3.dist-info/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2017 Tsuyoshi Hombashi
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

llmeval-env/lib/python3.10/site-packages/tabledata-1.3.3.dist-info/METADATA

@@ -0,0 +1,102 @@
+Metadata-Version: 2.1
+Name: tabledata
+Version: 1.3.3
+Summary: tabledata is a Python library to represent tabular data. Used for pytablewriter/pytablereader/SimpleSQLite/etc.
+Home-page: https://github.com/thombashi/tabledata
+Author: Tsuyoshi Hombashi
+Author-email: [email protected]
+License: MIT License
+Project-URL: Changlog, https://github.com/thombashi/tabledata/releases
+Project-URL: Documentation, https://tabledata.rtfd.io/
+Project-URL: Source, https://github.com/thombashi/tabledata
+Project-URL: Tracker, https://github.com/thombashi/tabledata/issues
+Keywords: table
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Requires-Python: >=3.7
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: DataProperty <2,>=1.0.1
+Requires-Dist: typepy <2,>=1.2.0
+Provides-Extra: logging
+Requires-Dist: loguru <1,>=0.4.1 ; extra == 'logging'
+Provides-Extra: test
+Requires-Dist: pytablewriter >=0.46 ; extra == 'test'
+Requires-Dist: pytest ; extra == 'test'
+
+.. contents:: **tabledata**
+   :backlinks: top
+   :depth: 2
+
+Summary
+---------
+`tabledata <https://github.com/thombashi/tabledata>`__ is a Python library to represent tabular data. Used for pytablewriter/pytablereader/SimpleSQLite/etc.
+
+.. image:: https://badge.fury.io/py/tabledata.svg
+    :target: https://badge.fury.io/py/tabledata
+    :alt: PyPI package version
+
+.. image:: https://img.shields.io/pypi/pyversions/tabledata.svg
+    :target: https://pypi.org/project/tabledata
+    :alt: Supported Python versions
+
+.. image:: https://img.shields.io/pypi/implementation/tabledata.svg
+    :target: https://pypi.org/project/tabledata
+    :alt: Supported Python implementations
+
+.. image:: https://github.com/thombashi/tabledata/actions/workflows/ci.yml/badge.svg
+    :target: https://github.com/thombashi/tabledata/actions/workflows/ci.yml
+    :alt: Linux/macOS/Windows CI status
+
+.. image:: https://coveralls.io/repos/github/thombashi/tabledata/badge.svg?branch=master
+    :target: https://coveralls.io/github/thombashi/tabledata?branch=master
+    :alt: Test coverage
+
+Installation
+============
+
+Install from PyPI
+------------------------------
+::
+
+    pip install tabledata
+
+Install from PPA (for Ubuntu)
+------------------------------
+::
+
+    sudo add-apt-repository ppa:thombashi/ppa
+    sudo apt update
+    sudo apt install python3-tabledata
+
+
+Dependencies
+============
+- Python 3.7+
+- `Mandatory Python package dependencies (automatically installed) <https://github.com/thombashi/tabledata/network/dependencies>`__
+
+Optional Python packages
+------------------------------------------------
+- `loguru <https://github.com/Delgan/loguru>`__
+    - Used for logging if the package installed
+- `pandas <https://pandas.pydata.org/>`__
+    - required to get table data as a pandas data frame
+
+Documentation
+===============
+https://tabledata.rtfd.io/
+

llmeval-env/lib/python3.10/site-packages/tabledata-1.3.3.dist-info/RECORD

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+tabledata-1.3.3.dist-info/top_level.txt,sha256=wPYCjph2PxB5odPJWPADX_65iL1gAIjMQFlAyZi80iI,10
+tabledata/__init__.py,sha256=OkkMA83NWJOKsmUru4qWiUXrwTxF5jDhHXl_dR2zQBQ,683
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llmeval-env/lib/python3.10/site-packages/tabledata-1.3.3.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.41.2)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

llmeval-env/lib/python3.10/site-packages/tabledata-1.3.3.dist-info/top_level.txt

@@ -0,0 +1 @@
+tabledata

llmeval-env/lib/python3.10/site-packages/torch/_refs/_conversions.py

@@ -0,0 +1,118 @@
+import torch
+import torch._prims_common as utils
+
+# Utilities should come BEFORE this import
+from torch._decomp import register_decomposition
+
+from torch._prims_common import TensorLikeType
+from torch._prims_common.wrappers import out_wrapper
+from torch._refs import _broadcast_shapes
+
+# Data conversion references.
+#
+# Note: this module breaks the usual _refs to torch naming scheme where
+# _refs.foo.bar is a ref for torch.foo.bar.  The following definitions are not
+# part of _refs/__init__.py to avoid name clashes with Python builtin types
+# (like int).
+
+__all__ = [
+    # dtypes
+    "bfloat16",
+    "bool",
+    "byte",
+    "cdouble",
+    "cfloat",
+    "chalf",
+    "char",
+    "double",
+    "float",
+    "half",
+    "int",
+    "long",
+    "short",
+    # misc
+    "complex",
+    "polar",
+]
+
+
+def _make_conversion_method(name: str, dtype: torch.dtype):
+    def fn(
+        self: TensorLikeType, memory_format: torch.memory_format = torch.preserve_format
+    ) -> TensorLikeType:
+        return self.to(dtype, memory_format=memory_format)  # type: ignore[call-overload]
+
+    fn.__name__ = name
+    return fn
+
+
+bfloat16 = _make_conversion_method("bfloat16", torch.bfloat16)
+
+bool = _make_conversion_method("bool", torch.bool)
+
+byte = _make_conversion_method("byte", torch.uint8)
+
+cdouble = _make_conversion_method("cdouble", torch.cdouble)
+
+cfloat = _make_conversion_method("cfloat", torch.cfloat)
+
+chalf = _make_conversion_method("chalf", torch.complex32)
+
+char = _make_conversion_method("char", torch.int8)
+
+double = _make_conversion_method("double", torch.double)
+
+float = _make_conversion_method("float", torch.float)
+
+half = _make_conversion_method("half", torch.half)
+
+int = _make_conversion_method("int", torch.int)
+
+long = _make_conversion_method("long", torch.long)
+
+short = _make_conversion_method("short", torch.short)
+
+
+@register_decomposition(torch._ops.ops.aten.complex)
+# Note: complex has type promotion tests disabled due to different semantics.
+# exact_dtype is for compat with complex_check_dtype from core.
+@out_wrapper(exact_dtype=True)
+def complex(real: TensorLikeType, imag: TensorLikeType) -> TensorLikeType:
+    allowed_dtypes = (torch.float32, torch.float64, torch.float16)
+    torch._check(
+        real.dtype in allowed_dtypes and imag.dtype in allowed_dtypes,
+        lambda: (
+            f"Expected both inputs to be Half, Float or Double tensors but got "
+            f"{real.dtype} and {imag.dtype}"
+        ),
+    )
+    torch._check(
+        real.dtype == imag.dtype,
+        lambda: (
+            f"Expected object of scalar type {real.dtype} but got "
+            f"scalar type {imag.dtype} for second argument"
+        ),
+    )
+    result_dtype = utils.corresponding_complex_dtype(real.dtype)  # type: ignore[arg-type]
+    common_shape = _broadcast_shapes(real.shape, imag.shape)
+    result = real.new_empty(
+        common_shape,
+        dtype=result_dtype,
+        layout=real.layout,
+        device=real.device,
+        # pin_memory=real.is_pinned(),  # NYI
+    )
+    result.real = real
+    result.imag = imag
+    return result
+
+
+@register_decomposition(torch._ops.ops.aten.polar)
+# Note: polar has type promotion tests disabled due to different semantics.
+# exact_dtype is for compat with complex_check_dtype from core.
+@out_wrapper(exact_dtype=True)
+def polar(abs: TensorLikeType, angle: TensorLikeType) -> TensorLikeType:
+    result = torch.complex(abs, angle)
+    result.real = abs * torch.cos(angle)
+    result.imag = abs * torch.sin(angle)
+    return result

llmeval-env/lib/python3.10/site-packages/torch/_refs/linalg/__init__.py

@@ -0,0 +1,308 @@
+from functools import partial
+
+from typing import List, Optional, Tuple, Union
+
+import torch
+
+import torch._prims as prims
+
+import torch._prims_common as utils
+import torch._refs as refs
+import torch._refs.linalg as linalg
+from torch import Tensor
+from torch._prims_common import (
+    check_fp_or_complex,
+    check_is_matrix,
+    Dim,
+    DimsType,
+    ELEMENTWISE_TYPE_PROMOTION_KIND,
+    IntLike,
+    NumberType,
+    TensorLikeType,
+)
+from torch._prims_common.wrappers import (
+    _maybe_convert_to_dtype,
+    elementwise_type_promotion_wrapper,
+    out_wrapper,
+)
+
+
+__all__ = [
+    "diagonal",
+    "matrix_norm",
+    "norm",
+    "svd",
+    "svdvals",
+    "vector_norm",
+    "vecdot",
+    "cross",
+]
+
+
+def _check_norm_dtype(dtype: Optional[torch.dtype], x_dtype: torch.dtype, fn_name: str):
+    """
+    Checks related to the dtype kwarg in `linalg.*norm` functions
+    """
+    if dtype is not None:
+        torch._check(
+            utils.is_float_dtype(dtype) or utils.is_complex_dtype(dtype),
+            lambda: f"{fn_name}: dtype should be floating point or complex. Got {dtype}",
+        )
+        torch._check(
+            utils.is_complex_dtype(dtype) == utils.is_complex_dtype(x_dtype),
+            lambda: "{fn_name}: dtype should be {d} for {d} inputs. Got {dtype}".format(
+                fn_name=fn_name,
+                d="complex" if utils.is_complex_dtype(x_dtype) else "real",
+                dtype=dtype,
+            ),
+        )
+        torch._check(
+            utils.get_higher_dtype(dtype, x_dtype) == dtype,
+            lambda: f"{fn_name}: the dtype of the input ({x_dtype}) should be convertible "
+            "without narrowing to the specified dtype ({dtype})",
+        )
+
+
+# Utilities should come BEFORE this import
+from torch._decomp import register_decomposition
+from torch._decomp.decompositions import pw_cast_for_opmath
+
+
+@register_decomposition(torch._ops.ops.aten.linalg_cross)
+@out_wrapper()
+@pw_cast_for_opmath
+def cross(a: Tensor, b: Tensor, dim: int = -1):
+    torch._check(
+        a.ndim == b.ndim,
+        lambda: "linalg.cross: inputs must have the same number of dimensions.",
+    )
+    torch._check(
+        a.size(dim) == 3 and b.size(dim) == 3,
+        lambda: f"linalg.cross: inputs dim {dim} must have length 3, got {a.size(dim)} and {b.size(dim)}",
+    )
+    a, b = torch.broadcast_tensors(a, b)
+    dim = utils.canonicalize_dim(a.ndim, dim)
+    idx = torch.arange(3, device=a.device)
+    return a.index_select(dim, (idx + 1) % 3) * b.index_select(
+        dim, (idx + 2) % 3
+    ) - a.index_select(dim, (idx + 2) % 3) * b.index_select(dim, (idx + 1) % 3)
+
+
+def diagonal(
+    input: TensorLikeType,
+    *,
+    offset: int = 0,
+    dim1: int = -2,
+    dim2: int = -1,
+) -> TensorLikeType:
+    return torch.diagonal(input, offset=offset, dim1=dim1, dim2=dim2)
+
+
+@register_decomposition(torch._ops.ops.aten.linalg_vector_norm)
+@out_wrapper(exact_dtype=True)
+def vector_norm(
+    x: TensorLikeType,
+    ord: Union[float, int] = 2,
+    dim: Optional[DimsType] = None,
+    keepdim: bool = False,
+    *,
+    dtype: Optional[torch.dtype] = None,
+) -> Tensor:
+    # Checks
+    check_fp_or_complex(x.dtype, "linalg.vector_norm")
+
+    if isinstance(dim, Dim):
+        dim = [dim]  # type: ignore[assignment]
+
+    if x.numel() == 0 and (ord < 0.0 or ord == float("inf")):
+        torch._check(
+            dim is not None and len(dim) != 0,
+            lambda: f"linalg.vector_norm cannot compute the {ord} norm on an empty tensor "
+            "because the operation does not have an identity",
+        )
+        shape = x.shape
+        assert dim is not None  # mypy does not seem to be able to see through check?
+        for d in dim:
+            torch._check(
+                shape[d] != 0,
+                lambda: f"linalg.vector_norm cannot compute the {ord} norm on the "
+                f"dimension {d} because this dimension is empty and the "
+                "operation does not have an identity",
+            )
+    _check_norm_dtype(dtype, x.dtype, "linalg.vector_norm")
+
+    computation_dtype, result_dtype = utils.reduction_dtypes(
+        x, utils.REDUCTION_OUTPUT_TYPE_KIND.COMPLEX_TO_FLOAT, dtype
+    )
+
+    to_result_dtype = partial(_maybe_convert_to_dtype, dtype=result_dtype)
+
+    # Implementation
+    if ord == 0.0:
+        return torch.sum(torch.ne(x, 0.0), dim=dim, keepdim=keepdim, dtype=result_dtype)
+    elif ord == float("inf"):
+        return to_result_dtype(torch.amax(torch.abs(x), dim=dim, keepdim=keepdim))  # type: ignore[return-value,arg-type]
+    elif ord == float("-inf"):
+        return to_result_dtype(torch.amin(torch.abs(x), dim=dim, keepdim=keepdim))  # type: ignore[return-value,arg-type]
+    else:
+        # From here on the computation dtype is important as the reduction is non-trivial
+        x = _maybe_convert_to_dtype(x, computation_dtype)  # type: ignore[assignment]
+        reduce_sum = partial(torch.sum, dim=dim, keepdim=keepdim)
+
+        is_ord_even = ord % 2 == 0 if isinstance(ord, IntLike) else ord % 2.0 == 0.0
+        if not (is_ord_even and utils.is_float_dtype(x.dtype)):
+            x = torch.abs(x)
+        return to_result_dtype(torch.pow(reduce_sum(torch.pow(x, ord)), 1.0 / ord))  # type: ignore[return-value]
+
+
+def _backshift_permutation(dim0, dim1, ndim):
+    # Auxiliary function for matrix_norm
+    # Computes the permutation that moves the two given dimensions to the back
+    ret = [i for i in range(ndim) if i != dim0 and i != dim1]
+    ret.extend((dim0, dim1))
+    return ret
+
+
+def _inverse_permutation(perm):
+    # Given a permutation, returns its inverse. It's equivalent to argsort on an array
+    return [i for i, j in sorted(enumerate(perm), key=lambda i_j: i_j[1])]
+
+
+# CompositeImplicitAutograd
+@out_wrapper(exact_dtype=True)
+def matrix_norm(
+    A: TensorLikeType,
+    ord: Union[float, str] = "fro",
+    dim: DimsType = (-2, -1),
+    keepdim: bool = False,
+    *,
+    dtype: Optional[torch.dtype] = None,
+) -> TensorLikeType:
+    # shape
+    check_is_matrix(A, "linalg.matrix_norm")
+    # dim
+    dim = utils.canonicalize_dims(A.ndim, dim)
+    if isinstance(dim, Dim):
+        dim = (dim,)  # type: ignore[assignment]
+    torch._check(
+        len(dim) == 2, lambda: "linalg.matrix_norm: dim must be a 2-tuple. Got {dim}"
+    )
+    torch._check(
+        dim[0] != dim[1],
+        lambda: "linalg.matrix_norm: dims must be different. Got ({dim[0]}, {dim[1]})",
+    )
+    # dtype arg
+    _check_norm_dtype(dtype, A.dtype, "linalg.matrix_norm")
+
+    if isinstance(ord, str):
+        # ord
+        torch._check(
+            ord in ("fro", "nuc"),
+            lambda: "linalg.matrix_norm: Order {ord} not supported.",
+        )
+        # dtype
+        check_fp_or_complex(
+            A.dtype, "linalg.matrix_norm", allow_low_precision_dtypes=ord != "nuc"
+        )
+
+        if ord == "fro":
+            return vector_norm(A, 2, dim, keepdim, dtype=dtype)
+        else:  # ord == "nuc"
+            if dtype is not None:
+                A = _maybe_convert_to_dtype(A, dtype)  # type: ignore[assignment]
+            perm = _backshift_permutation(dim[0], dim[1], A.ndim)
+            result = torch.sum(svdvals(prims.transpose(A, perm)), -1, keepdim)
+            if keepdim:
+                inv_perm = _inverse_permutation(perm)
+                result = prims.transpose(torch.unsqueeze(result, -1), inv_perm)
+            return result
+    else:
+        # ord
+        abs_ord = abs(ord)
+        torch._check(
+            abs_ord in (2, 1, float("inf")),
+            lambda: "linalg.matrix_norm: Order {ord} not supported.",
+        )
+        # dtype
+        check_fp_or_complex(
+            A.dtype, "linalg.matrix_norm", allow_low_precision_dtypes=ord != 2
+        )
+
+        max_min = partial(torch.amax if ord > 0.0 else torch.amin, keepdim=keepdim)
+
+        if abs_ord == 2.0:
+            if dtype is not None:
+                A = _maybe_convert_to_dtype(A, dtype)  # type: ignore[assignment]
+            perm = _backshift_permutation(dim[0], dim[1], A.ndim)
+            result = max_min(svdvals(prims.transpose(A, perm)), dim=-1)
+            if keepdim:
+                inv_perm = _inverse_permutation(perm)
+                result = prims.transpose(torch.unsqueeze(result, -1), inv_perm)
+            return result
+        else:  # 1, -1, inf, -inf
+            dim0, dim1 = dim
+            if abs_ord == float("inf"):
+                dim0, dim1 = dim1, dim0
+            if not keepdim and (dim0 < dim1):
+                dim1 -= 1
+            return max_min(
+                vector_norm(A, 1.0, dim=dim0, keepdim=keepdim, dtype=dtype), dim1
+            )
+
+
+# CompositeImplicitAutograd
+@out_wrapper(exact_dtype=True)
+def norm(
+    A: TensorLikeType,
+    ord: Optional[Union[float, str]] = None,
+    dim: Optional[DimsType] = None,
+    keepdim: bool = False,
+    *,
+    dtype: Optional[torch.dtype] = None,
+) -> TensorLikeType:
+    if dim is not None:
+        if isinstance(dim, Dim):
+            dim = (dim,)  # type: ignore[assignment]
+        torch._check(
+            len(dim) in (1, 2),
+            lambda: "linalg.norm: If dim is specified, it must be of length 1 or 2. Got {dim}",
+        )
+    elif ord is not None:
+        torch._check(
+            A.ndim in (1, 2),
+            lambda: "linalg.norm: If dim is not specified but ord is, the input must be 1D or 2D. Got {A.ndim}D",
+        )
+
+    if ord is not None and (
+        (dim is not None and len(dim) == 2) or (dim is None and A.ndim == 2)
+    ):
+        if dim is None:
+            dim = (0, 1)
+        return matrix_norm(A, ord, dim, keepdim, dtype=dtype)
+    else:
+        if ord is None:
+            ord = 2.0
+        return vector_norm(A, ord, dim, keepdim, dtype=dtype)
+
+
+# CompositeImplicitAutograd
+@out_wrapper("U", "S", "Vh", exact_dtype=True)
+def svd(A: TensorLikeType, full_matrices: bool = True) -> Tuple[Tensor, Tensor, Tensor]:
+    return prims.svd(A, full_matrices=full_matrices)
+
+
+# CompositeImplicitAutograd
+@out_wrapper(exact_dtype=True)
+def svdvals(A: TensorLikeType) -> Tensor:
+    return svd(A, full_matrices=False)[1]
+
+
+# CompositeImplicitAutograd
+@out_wrapper()
+@elementwise_type_promotion_wrapper(
+    type_promoting_args=("x", "y"),
+    type_promotion_kind=ELEMENTWISE_TYPE_PROMOTION_KIND.DEFAULT,
+)
+def vecdot(x: Tensor, y: Tensor, dim: int = -1) -> Tensor:
+    check_fp_or_complex(x.dtype, "linalg.vecdot")
+    return (x.conj() * y).sum(dim=dim)