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ckpts/universal/global_step40/zero/12.mlp.dense_h_to_4h_swiglu.weight/exp_avg_sq.pt

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venv/lib/python3.10/site-packages/certifi/__init__.py

@@ -0,0 +1,4 @@
+from .core import contents, where
+
+__all__ = ["contents", "where"]
+__version__ = "2024.02.02"

venv/lib/python3.10/site-packages/certifi/__main__.py

@@ -0,0 +1,12 @@
+import argparse
+
+from certifi import contents, where
+
+parser = argparse.ArgumentParser()
+parser.add_argument("-c", "--contents", action="store_true")
+args = parser.parse_args()
+
+if args.contents:
+    print(contents())
+else:
+    print(where())

venv/lib/python3.10/site-packages/certifi/core.py

@@ -0,0 +1,114 @@
+"""
+certifi.py
+~~~~~~~~~~
+
+This module returns the installation location of cacert.pem or its contents.
+"""
+import sys
+import atexit
+
+def exit_cacert_ctx() -> None:
+    _CACERT_CTX.__exit__(None, None, None)  # type: ignore[union-attr]
+
+
+if sys.version_info >= (3, 11):
+
+    from importlib.resources import as_file, files
+
+    _CACERT_CTX = None
+    _CACERT_PATH = None
+
+    def where() -> str:
+        # This is slightly terrible, but we want to delay extracting the file
+        # in cases where we're inside of a zipimport situation until someone
+        # actually calls where(), but we don't want to re-extract the file
+        # on every call of where(), so we'll do it once then store it in a
+        # global variable.
+        global _CACERT_CTX
+        global _CACERT_PATH
+        if _CACERT_PATH is None:
+            # This is slightly janky, the importlib.resources API wants you to
+            # manage the cleanup of this file, so it doesn't actually return a
+            # path, it returns a context manager that will give you the path
+            # when you enter it and will do any cleanup when you leave it. In
+            # the common case of not needing a temporary file, it will just
+            # return the file system location and the __exit__() is a no-op.
+            #
+            # We also have to hold onto the actual context manager, because
+            # it will do the cleanup whenever it gets garbage collected, so
+            # we will also store that at the global level as well.
+            _CACERT_CTX = as_file(files("certifi").joinpath("cacert.pem"))
+            _CACERT_PATH = str(_CACERT_CTX.__enter__())
+            atexit.register(exit_cacert_ctx)
+
+        return _CACERT_PATH
+
+    def contents() -> str:
+        return files("certifi").joinpath("cacert.pem").read_text(encoding="ascii")
+
+elif sys.version_info >= (3, 7):
+
+    from importlib.resources import path as get_path, read_text
+
+    _CACERT_CTX = None
+    _CACERT_PATH = None
+
+    def where() -> str:
+        # This is slightly terrible, but we want to delay extracting the
+        # file in cases where we're inside of a zipimport situation until
+        # someone actually calls where(), but we don't want to re-extract
+        # the file on every call of where(), so we'll do it once then store
+        # it in a global variable.
+        global _CACERT_CTX
+        global _CACERT_PATH
+        if _CACERT_PATH is None:
+            # This is slightly janky, the importlib.resources API wants you
+            # to manage the cleanup of this file, so it doesn't actually
+            # return a path, it returns a context manager that will give
+            # you the path when you enter it and will do any cleanup when
+            # you leave it. In the common case of not needing a temporary
+            # file, it will just return the file system location and the
+            # __exit__() is a no-op.
+            #
+            # We also have to hold onto the actual context manager, because
+            # it will do the cleanup whenever it gets garbage collected, so
+            # we will also store that at the global level as well.
+            _CACERT_CTX = get_path("certifi", "cacert.pem")
+            _CACERT_PATH = str(_CACERT_CTX.__enter__())
+            atexit.register(exit_cacert_ctx)
+
+        return _CACERT_PATH
+
+    def contents() -> str:
+        return read_text("certifi", "cacert.pem", encoding="ascii")
+
+else:
+    import os
+    import types
+    from typing import Union
+
+    Package = Union[types.ModuleType, str]
+    Resource = Union[str, "os.PathLike"]
+
+    # This fallback will work for Python versions prior to 3.7 that lack the
+    # importlib.resources module but relies on the existing `where` function
+    # so won't address issues with environments like PyOxidizer that don't set
+    # __file__ on modules.
+    def read_text(
+        package: Package,
+        resource: Resource,
+        encoding: str = 'utf-8',
+        errors: str = 'strict'
+    ) -> str:
+        with open(where(), encoding=encoding) as data:
+            return data.read()
+
+    # If we don't have importlib.resources, then we will just do the old logic
+    # of assuming we're on the filesystem and munge the path directly.
+    def where() -> str:
+        f = os.path.dirname(__file__)
+
+        return os.path.join(f, "cacert.pem")
+
+    def contents() -> str:
+        return read_text("certifi", "cacert.pem", encoding="ascii")

venv/lib/python3.10/site-packages/evaluate-0.4.1.dist-info/INSTALLER

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

venv/lib/python3.10/site-packages/evaluate-0.4.1.dist-info/LICENSE

@@ -0,0 +1,202 @@
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venv/lib/python3.10/site-packages/evaluate-0.4.1.dist-info/METADATA

@@ -0,0 +1,203 @@
+Metadata-Version: 2.1
+Name: evaluate
+Version: 0.4.1
+Summary: HuggingFace community-driven open-source library of evaluation
+Home-page: https://github.com/huggingface/evaluate
+Author: HuggingFace Inc.
+Author-email: [email protected]
+License: Apache 2.0
+Download-URL: https://github.com/huggingface/evaluate/tags
+Keywords: metrics machine learning evaluate evaluation
+Platform: UNKNOWN
+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
+Requires-Python: >=3.7.0
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: datasets >=2.0.0
+Requires-Dist: numpy >=1.17
+Requires-Dist: dill
+Requires-Dist: pandas
+Requires-Dist: requests >=2.19.0
+Requires-Dist: tqdm >=4.62.1
+Requires-Dist: xxhash
+Requires-Dist: multiprocess
+Requires-Dist: fsspec[http] >=2021.05.0
+Requires-Dist: huggingface-hub >=0.7.0
+Requires-Dist: packaging
+Requires-Dist: responses <0.19
+Requires-Dist: importlib-metadata ; python_version < "3.8"
+Provides-Extra: dev
+Requires-Dist: absl-py ; extra == 'dev'
+Requires-Dist: charcut >=1.1.1 ; extra == 'dev'
+Requires-Dist: cer >=1.2.0 ; extra == 'dev'
+Requires-Dist: nltk ; extra == 'dev'
+Requires-Dist: pytest ; extra == 'dev'
+Requires-Dist: pytest-datadir ; extra == 'dev'
+Requires-Dist: pytest-xdist ; extra == 'dev'
+Requires-Dist: tensorflow !=2.6.0,!=2.6.1,<=2.10,>=2.3 ; extra == 'dev'
+Requires-Dist: torch ; extra == 'dev'
+Requires-Dist: accelerate ; extra == 'dev'
+Requires-Dist: bert-score >=0.3.6 ; extra == 'dev'
+Requires-Dist: rouge-score >=0.1.2 ; extra == 'dev'
+Requires-Dist: sacrebleu ; extra == 'dev'
+Requires-Dist: sacremoses ; extra == 'dev'
+Requires-Dist: scipy ; extra == 'dev'
+Requires-Dist: seqeval ; extra == 'dev'
+Requires-Dist: scikit-learn ; extra == 'dev'
+Requires-Dist: jiwer ; extra == 'dev'
+Requires-Dist: sentencepiece ; extra == 'dev'
+Requires-Dist: transformers ; extra == 'dev'
+Requires-Dist: mauve-text ; extra == 'dev'
+Requires-Dist: trectools ; extra == 'dev'
+Requires-Dist: toml >=0.10.1 ; extra == 'dev'
+Requires-Dist: requests-file >=1.5.1 ; extra == 'dev'
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+Requires-Dist: texttable >=1.6.3 ; extra == 'dev'
+Requires-Dist: unidecode >=1.3.4 ; extra == 'dev'
+Requires-Dist: Werkzeug >=1.0.1 ; extra == 'dev'
+Requires-Dist: six ~=1.15.0 ; extra == 'dev'
+Requires-Dist: black ~=22.0 ; extra == 'dev'
+Requires-Dist: flake8 >=3.8.3 ; extra == 'dev'
+Requires-Dist: isort >=5.0.0 ; extra == 'dev'
+Requires-Dist: pyyaml >=5.3.1 ; extra == 'dev'
+Provides-Extra: docs
+Requires-Dist: s3fs ; extra == 'docs'
+Provides-Extra: evaluator
+Requires-Dist: transformers ; extra == 'evaluator'
+Requires-Dist: scipy >=1.7.1 ; extra == 'evaluator'
+Provides-Extra: quality
+Requires-Dist: black ~=22.0 ; extra == 'quality'
+Requires-Dist: flake8 >=3.8.3 ; extra == 'quality'
+Requires-Dist: isort >=5.0.0 ; extra == 'quality'
+Requires-Dist: pyyaml >=5.3.1 ; extra == 'quality'
+Provides-Extra: template
+Requires-Dist: cookiecutter ; extra == 'template'
+Requires-Dist: gradio >=3.0.0 ; extra == 'template'
+Provides-Extra: tensorflow
+Requires-Dist: tensorflow !=2.6.0,!=2.6.1,>=2.2.0 ; extra == 'tensorflow'
+Provides-Extra: tensorflow_gpu
+Requires-Dist: tensorflow-gpu !=2.6.0,!=2.6.1,>=2.2.0 ; extra == 'tensorflow_gpu'
+Provides-Extra: tests
+Requires-Dist: absl-py ; extra == 'tests'
+Requires-Dist: charcut >=1.1.1 ; extra == 'tests'
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+Requires-Dist: tensorflow !=2.6.0,!=2.6.1,<=2.10,>=2.3 ; extra == 'tests'
+Requires-Dist: torch ; extra == 'tests'
+Requires-Dist: accelerate ; extra == 'tests'
+Requires-Dist: bert-score >=0.3.6 ; extra == 'tests'
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+Requires-Dist: scipy ; extra == 'tests'
+Requires-Dist: seqeval ; extra == 'tests'
+Requires-Dist: scikit-learn ; extra == 'tests'
+Requires-Dist: jiwer ; extra == 'tests'
+Requires-Dist: sentencepiece ; extra == 'tests'
+Requires-Dist: transformers ; extra == 'tests'
+Requires-Dist: mauve-text ; extra == 'tests'
+Requires-Dist: trectools ; extra == 'tests'
+Requires-Dist: toml >=0.10.1 ; extra == 'tests'
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+Requires-Dist: Werkzeug >=1.0.1 ; extra == 'tests'
+Requires-Dist: six ~=1.15.0 ; extra == 'tests'
+Provides-Extra: torch
+Requires-Dist: torch ; extra == 'torch'
+
+<p align="center">
+    <br>
+    <img src="https://huggingface.co/datasets/evaluate/media/resolve/main/evaluate-banner.png" width="400"/>
+    <br>
+</p>
+
+<p align="center">
+    <a href="https://github.com/huggingface/evaluate/actions/workflows/ci.yml?query=branch%3Amain">
+        <img alt="Build" src="https://github.com/huggingface/evaluate/actions/workflows/ci.yml/badge.svg?branch=main">
+    </a>
+    <a href="https://github.com/huggingface/evaluate/blob/master/LICENSE">
+        <img alt="GitHub" src="https://img.shields.io/github/license/huggingface/evaluate.svg?color=blue">
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+    </a>
+    <a href="https://github.com/huggingface/evaluate/releases">
+        <img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/evaluate.svg">
+    </a>
+    <a href="CODE_OF_CONDUCT.md">
+        <img alt="Contributor Covenant" src="https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg">
+    </a>
+</p>
+
+🤗 Evaluate is a library that makes evaluating and comparing models and reporting their performance easier and more standardized. 
+
+It currently contains:
+
+- **implementations of dozens of popular metrics**: the existing metrics cover a variety of tasks spanning from NLP to Computer Vision, and include dataset-specific metrics for datasets. With a simple command like `accuracy = load("accuracy")`, get any of these metrics ready to use for evaluating a ML model in any framework (Numpy/Pandas/PyTorch/TensorFlow/JAX).
+- **comparisons and measurements**: comparisons are used to measure the difference between models and measurements are tools to evaluate datasets.
+- **an easy way of adding new evaluation modules to the 🤗 Hub**: you can create new evaluation modules and push them to a dedicated Space in the 🤗 Hub with `evaluate-cli create [metric name]`, which allows you to see easily compare different metrics and their outputs for the same sets of references and predictions.
+
+[🎓 **Documentation**](https://huggingface.co/docs/evaluate/)
+
+🔎 **Find a [metric](https://huggingface.co/evaluate-metric), [comparison](https://huggingface.co/evaluate-comparison), [measurement](https://huggingface.co/evaluate-measurement) on the Hub**
+
+[🌟 **Add a new evaluation module**](https://huggingface.co/docs/evaluate/)
+
+🤗 Evaluate also has lots of useful features like:
+
+- **Type checking**: the input types are checked to make sure that you are using the right input formats for each metric
+- **Metric cards**: each metrics comes with a card that describes the values, limitations and their ranges, as well as providing examples of their usage and usefulness.
+- **Community metrics:** Metrics live on the Hugging Face Hub and you can easily add your own metrics for your project or to collaborate with others.
+
+
+# Installation
+
+## With pip
+
+🤗 Evaluate can be installed from PyPi and has to be installed in a virtual environment (venv or conda for instance)
+
+```bash
+pip install evaluate
+```
+
+# Usage
+
+🤗 Evaluate's main methods are:
+
+- `evaluate.list_evaluation_modules()` to list the available metrics, comparisons and measurements
+- `evaluate.load(module_name, **kwargs)` to instantiate an evaluation module
+- `results = module.compute(*kwargs)` to compute the result of an evaluation module
+
+# Adding a new evaluation module
+
+First install the necessary dependencies to create a new metric with the following command:
+```bash
+pip install evaluate[template]
+```
+Then you can get started with the following command which will create a new folder for your metric and display the necessary steps:
+```bash
+evaluate-cli create "Awesome Metric"
+```
+See this [step-by-step guide](https://huggingface.co/docs/evaluate/creating_and_sharing) in the documentation for detailed instructions.
+
+## Credits
+
+Thanks to [@marella](https://github.com/marella) for letting us use the `evaluate` namespace on PyPi previously used by his [library](https://github.com/marella/evaluate).
+
+

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venv/lib/python3.10/site-packages/evaluate-0.4.1.dist-info/WHEEL

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+

venv/lib/python3.10/site-packages/evaluate-0.4.1.dist-info/entry_points.txt

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+[console_scripts]
+evaluate-cli = evaluate.commands.evaluate_cli:main
+

venv/lib/python3.10/site-packages/evaluate-0.4.1.dist-info/top_level.txt

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+evaluate